id	sid	tid	token	lemma	pos
easat-4929	1	1	edelweiss	edelweiss	PROPN
easat-4929	1	2	applied	apply	VERB
easat-4929	1	3	science	science	NOUN
easat-4929	1	4	and	and	CCONJ
easat-4929	1	5	technology	technology	NOUN
easat-4929	1	6	issn	issn	PROPN
easat-4929	1	7	:	:	PUNCT
easat-4929	1	8	2576	2576	NUM
easat-4929	1	9	-	-	SYM
easat-4929	1	10	8484	8484	NUM
easat-4929	1	11	vol	vol	NOUN
easat-4929	1	12	.	.	PROPN
easat-4929	2	1	9	9	NUM
easat-4929	2	2	,	,	PUNCT
easat-4929	2	3	no	no	INTJ
easat-4929	2	4	.	.	NOUN
easat-4929	2	5	2	2	NUM
easat-4929	2	6	,	,	PUNCT
easat-4929	2	7	1803	1803	NUM
easat-4929	2	8	-	-	SYM
easat-4929	2	9	1829	1829	NUM
easat-4929	2	10	2025	2025	NUM
easat-4929	2	11	publisher	publisher	NOUN
easat-4929	2	12	:	:	PUNCT
easat-4929	2	13	learning	learn	VERB
easat-4929	2	14	gate	gate	NOUN
easat-4929	2	15	doi	doi	PROPN
easat-4929	2	16	:	:	PUNCT
easat-4929	2	17	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	2	18	©	©	PROPN
easat-4929	2	19	2025	2025	NUM
easat-4929	2	20	by	by	ADP
easat-4929	2	21	the	the	DET
easat-4929	2	22	authors	author	NOUN
easat-4929	2	23	;	;	PUNCT
easat-4929	2	24	licensee	licensee	PROPN
easat-4929	2	25	learning	learning	NOUN
easat-4929	2	26	gate	gate	NOUN
easat-4929	3	1	©	©	PROPN
easat-4929	3	2	2025	2025	NUM
easat-4929	3	3	by	by	ADP
easat-4929	3	4	the	the	DET
easat-4929	3	5	authors	author	NOUN
easat-4929	3	6	;	;	PUNCT
easat-4929	3	7	licensee	licensee	PROPN
easat-4929	3	8	learning	learning	NOUN
easat-4929	3	9	gate	gate	NOUN
easat-4929	3	10	history	history	NOUN
easat-4929	3	11	:	:	PUNCT
easat-4929	3	12	received	receive	VERB
easat-4929	3	13	:	:	PUNCT
easat-4929	3	14	18	18	NUM
easat-4929	3	15	december	december	PROPN
easat-4929	3	16	2024	2024	NUM
easat-4929	3	17	;	;	PUNCT
easat-4929	3	18	revised	revise	VERB
easat-4929	3	19	:	:	PUNCT
easat-4929	3	20	27	27	NUM
easat-4929	3	21	january	january	NOUN
easat-4929	3	22	2025	2025	NUM
easat-4929	3	23	;	;	PUNCT
easat-4929	3	24	accepted	accept	VERB
easat-4929	3	25	:	:	PUNCT
easat-4929	3	26	30	30	NUM
easat-4929	3	27	january	january	NOUN
easat-4929	3	28	2025	2025	NUM
easat-4929	3	29	;	;	PUNCT
easat-4929	3	30	published	publish	VERB
easat-4929	3	31	:	:	PUNCT
easat-4929	3	32	20	20	NUM
easat-4929	3	33	february	february	NOUN
easat-4929	3	34	2025	2025	NUM
easat-4929	3	35	*	*	PUNCT
easat-4929	3	36	correspondence	correspondence	NOUN
easat-4929	3	37	:	:	PUNCT
easat-4929	4	1	meda.shefqet@ibu.edu.mk	meda.shefqet@ibu.edu.mk	NOUN
easat-4929	4	2	comparison	comparison	NOUN
easat-4929	4	3	of	of	ADP
easat-4929	4	4	machine	machine	NOUN
easat-4929	4	5	learning	learn	VERB
easat-4929	4	6	algorithms	algorithm	NOUN
easat-4929	4	7	in	in	ADP
easat-4929	4	8	predicting	predict	VERB
easat-4929	4	9	hospital	hospital	NOUN
easat-4929	4	10	readmissions	readmission	NOUN
easat-4929	4	11	for	for	ADP
easat-4929	4	12	diabetic	diabetic	ADJ
easat-4929	4	13	patients	patient	NOUN
easat-4929	4	14	shefqet	shefqet	VERB
easat-4929	4	15	meda1,2	meda1,2	PROPN
easat-4929	4	16	*	*	PROPN
easat-4929	4	17	,	,	PUNCT
easat-4929	4	18	lily	lily	ADJ
easat-4929	4	19	cuku1	cuku1	NOUN
easat-4929	4	20	,	,	PUNCT
easat-4929	4	21	zhilbert	zhilbert	PROPN
easat-4929	4	22	tafa2	tafa2	PROPN
easat-4929	4	23	1canadian	1canadian	NUM
easat-4929	4	24	institute	institute	PROPN
easat-4929	4	25	of	of	ADP
easat-4929	4	26	technology	technology	PROPN
easat-4929	4	27	,	,	PUNCT
easat-4929	4	28	tirana	tirana	PROPN
easat-4929	4	29	,	,	PUNCT
easat-4929	4	30	albania	albania	PROPN
easat-4929	4	31	;	;	PUNCT
easat-4929	4	32	shefqet.meda@cit.edu.al	shefqet.meda@cit.edu.al	PROPN
easat-4929	4	33	(	(	PUNCT
easat-4929	4	34	s.m	s.m	PROPN
easat-4929	4	35	.	.	PROPN
easat-4929	4	36	)	)	PUNCT
easat-4929	5	1	lily.cuku@cit.edu.al	lily.cuku@cit.edu.al	PROPN
easat-4929	5	2	(	(	PUNCT
easat-4929	5	3	l.c	l.c	PROPN
easat-4929	5	4	.	.	PROPN
easat-4929	5	5	)	)	PUNCT
easat-4929	6	1	2international	2international	ADJ
easat-4929	6	2	balkan	balkan	ADJ
easat-4929	6	3	university	university	NOUN
easat-4929	6	4	,	,	PUNCT
easat-4929	6	5	skopje	skopje	PROPN
easat-4929	6	6	,	,	PUNCT
easat-4929	6	7	north	north	NOUN
easat-4929	6	8	macedonia	macedonia	NOUN
easat-4929	6	9	;	;	PUNCT
easat-4929	6	10	tafaul@t-com.me	tafaul@t-com.me	NOUN
easat-4929	6	11	(	(	PUNCT
easat-4929	6	12	z.t	z.t	PROPN
easat-4929	6	13	.	.	PUNCT
easat-4929	6	14	)	)	PUNCT
easat-4929	7	1	abstract	abstract	ADJ
easat-4929	7	2	:	:	PUNCT
easat-4929	7	3	hospital	hospital	NOUN
easat-4929	7	4	readmission	readmission	NOUN
easat-4929	7	5	is	be	AUX
easat-4929	7	6	a	a	DET
easat-4929	7	7	substantial	substantial	ADJ
easat-4929	7	8	burden	burden	NOUN
easat-4929	7	9	on	on	ADP
easat-4929	7	10	healthcare	healthcare	NOUN
easat-4929	7	11	systems	system	NOUN
easat-4929	7	12	,	,	PUNCT
easat-4929	7	13	increasing	increase	VERB
easat-4929	7	14	both	both	DET
easat-4929	7	15	costs	cost	NOUN
easat-4929	7	16	and	and	CCONJ
easat-4929	7	17	patient	patient	ADJ
easat-4929	7	18	strain	strain	NOUN
easat-4929	7	19	.	.	PUNCT
easat-4929	8	1	current	current	ADJ
easat-4929	8	2	traditional	traditional	ADJ
easat-4929	8	3	methods	method	NOUN
easat-4929	8	4	for	for	ADP
easat-4929	8	5	identifying	identify	VERB
easat-4929	8	6	patients	patient	NOUN
easat-4929	8	7	at	at	ADP
easat-4929	8	8	high	high	ADJ
easat-4929	8	9	risk	risk	NOUN
easat-4929	8	10	for	for	ADP
easat-4929	8	11	readmission	readmission	NOUN
easat-4929	8	12	are	be	AUX
easat-4929	8	13	often	often	ADV
easat-4929	8	14	based	base	VERB
easat-4929	8	15	on	on	ADP
easat-4929	8	16	clinicians	clinician	NOUN
easat-4929	8	17	'	'	PART
easat-4929	8	18	judgment	judgment	NOUN
easat-4929	8	19	.	.	PUNCT
easat-4929	9	1	this	this	DET
easat-4929	9	2	issue	issue	NOUN
easat-4929	9	3	is	be	AUX
easat-4929	9	4	especially	especially	ADV
easat-4929	9	5	concerning	concern	VERB
easat-4929	9	6	for	for	ADP
easat-4929	9	7	patients	patient	NOUN
easat-4929	9	8	with	with	ADP
easat-4929	9	9	chronic	chronic	ADJ
easat-4929	9	10	conditions	condition	NOUN
easat-4929	9	11	like	like	ADP
easat-4929	9	12	diabetes	diabetes	NOUN
easat-4929	9	13	,	,	PUNCT
easat-4929	9	14	where	where	SCONJ
easat-4929	9	15	the	the	DET
easat-4929	9	16	pressure	pressure	NOUN
easat-4929	9	17	to	to	PART
easat-4929	9	18	reduce	reduce	VERB
easat-4929	9	19	readmissions	readmission	NOUN
easat-4929	9	20	may	may	AUX
easat-4929	9	21	lead	lead	VERB
easat-4929	9	22	to	to	ADP
easat-4929	9	23	worse	bad	ADJ
easat-4929	9	24	outcomes	outcome	NOUN
easat-4929	9	25	.	.	PUNCT
easat-4929	10	1	unlike	unlike	ADP
easat-4929	10	2	traditional	traditional	ADJ
easat-4929	10	3	methods	method	NOUN
easat-4929	10	4	,	,	PUNCT
easat-4929	10	5	machine	machine	NOUN
easat-4929	10	6	learning	learning	NOUN
easat-4929	10	7	algorithms	algorithm	NOUN
easat-4929	10	8	can	can	AUX
easat-4929	10	9	analyze	analyze	VERB
easat-4929	10	10	complex	complex	ADJ
easat-4929	10	11	datasets	dataset	NOUN
easat-4929	10	12	to	to	PART
easat-4929	10	13	identify	identify	VERB
easat-4929	10	14	patterns	pattern	NOUN
easat-4929	10	15	and	and	CCONJ
easat-4929	10	16	risk	risk	NOUN
easat-4929	10	17	factors	factor	NOUN
easat-4929	10	18	,	,	PUNCT
easat-4929	10	19	resulting	result	VERB
easat-4929	10	20	in	in	ADP
easat-4929	10	21	more	more	ADV
easat-4929	10	22	precise	precise	ADJ
easat-4929	10	23	predictions	prediction	NOUN
easat-4929	10	24	of	of	ADP
easat-4929	10	25	readmission	readmission	NOUN
easat-4929	10	26	risk	risk	NOUN
easat-4929	10	27	.	.	PUNCT
easat-4929	11	1	they	they	PRON
easat-4929	11	2	can	can	AUX
easat-4929	11	3	also	also	ADV
easat-4929	11	4	facilitate	facilitate	VERB
easat-4929	11	5	better	well	ADJ
easat-4929	11	6	resource	resource	NOUN
easat-4929	11	7	allocation	allocation	NOUN
easat-4929	11	8	and	and	CCONJ
easat-4929	11	9	personalized	personalize	VERB
easat-4929	11	10	patient	patient	ADJ
easat-4929	11	11	care	care	NOUN
easat-4929	11	12	.	.	PUNCT
easat-4929	12	1	previous	previous	ADJ
easat-4929	12	2	studies	study	NOUN
easat-4929	12	3	have	have	AUX
easat-4929	12	4	applied	apply	VERB
easat-4929	12	5	various	various	ADJ
easat-4929	12	6	algorithms	algorithm	NOUN
easat-4929	12	7	to	to	PART
easat-4929	12	8	predict	predict	VERB
easat-4929	12	9	readmissions	readmission	NOUN
easat-4929	12	10	in	in	ADP
easat-4929	12	11	healthcare	healthcare	NOUN
easat-4929	12	12	institutions	institution	NOUN
easat-4929	12	13	.	.	PUNCT
easat-4929	13	1	in	in	ADP
easat-4929	13	2	this	this	DET
easat-4929	13	3	study	study	NOUN
easat-4929	13	4	,	,	PUNCT
easat-4929	13	5	we	we	PRON
easat-4929	13	6	apply	apply	VERB
easat-4929	13	7	and	and	CCONJ
easat-4929	13	8	compare	compare	VERB
easat-4929	13	9	the	the	DET
easat-4929	13	10	optimized	optimize	VERB
easat-4929	13	11	versions	version	NOUN
easat-4929	13	12	of	of	ADP
easat-4929	13	13	different	different	ADJ
easat-4929	13	14	machine	machine	NOUN
easat-4929	13	15	learning	learning	NOUN
easat-4929	13	16	(	(	PUNCT
easat-4929	13	17	ml	ml	NOUN
easat-4929	13	18	)	)	PUNCT
easat-4929	13	19	models	model	NOUN
easat-4929	13	20	to	to	PART
easat-4929	13	21	predict	predict	VERB
easat-4929	13	22	30	30	NUM
easat-4929	13	23	-	-	PUNCT
easat-4929	13	24	day	day	NOUN
easat-4929	13	25	readmissions	readmission	NOUN
easat-4929	13	26	and	and	CCONJ
easat-4929	13	27	identify	identify	VERB
easat-4929	13	28	important	important	ADJ
easat-4929	13	29	predictors	predictor	NOUN
easat-4929	13	30	driving	drive	VERB
easat-4929	13	31	these	these	DET
easat-4929	13	32	outcomes	outcome	NOUN
easat-4929	13	33	.	.	PUNCT
easat-4929	14	1	based	base	VERB
easat-4929	14	2	on	on	ADP
easat-4929	14	3	the	the	DET
easat-4929	14	4	predefined	predefine	VERB
easat-4929	14	5	metrics	metric	NOUN
easat-4929	14	6	,	,	PUNCT
easat-4929	14	7	the	the	DET
easat-4929	14	8	analyses	analysis	NOUN
easat-4929	14	9	identify	identify	VERB
easat-4929	14	10	the	the	DET
easat-4929	14	11	stochastic	stochastic	ADJ
easat-4929	14	12	gradient	gradient	ADJ
easat-4929	14	13	descent	descent	NOUN
easat-4929	14	14	classifier	classifier	NOUN
easat-4929	14	15	(	(	PUNCT
easat-4929	14	16	sgdc	sgdc	NOUN
easat-4929	14	17	)	)	PUNCT
easat-4929	14	18	as	as	ADP
easat-4929	14	19	the	the	DET
easat-4929	14	20	best	well	ADV
easat-4929	14	21	-	-	PUNCT
easat-4929	14	22	performing	perform	VERB
easat-4929	14	23	model	model	NOUN
easat-4929	14	24	for	for	ADP
easat-4929	14	25	the	the	DET
easat-4929	14	26	available	available	ADJ
easat-4929	14	27	dataset	dataset	NOUN
easat-4929	14	28	and	and	CCONJ
easat-4929	14	29	the	the	DET
easat-4929	14	30	applied	apply	VERB
easat-4929	14	31	ml	ml	NOUN
easat-4929	14	32	parameter	parameter	NOUN
easat-4929	14	33	optimization	optimization	NOUN
easat-4929	14	34	.	.	PUNCT
easat-4929	15	1	although	although	SCONJ
easat-4929	15	2	ml	ml	NOUN
easat-4929	15	3	models	model	NOUN
easat-4929	15	4	demonstrate	demonstrate	VERB
easat-4929	15	5	potential	potential	ADJ
easat-4929	15	6	for	for	ADP
easat-4929	15	7	predicting	predict	VERB
easat-4929	15	8	readmissions	readmission	NOUN
easat-4929	15	9	,	,	PUNCT
easat-4929	15	10	they	they	PRON
easat-4929	15	11	are	be	AUX
easat-4929	15	12	not	not	PART
easat-4929	15	13	yet	yet	ADV
easat-4929	15	14	fully	fully	ADV
easat-4929	15	15	reliable	reliable	ADJ
easat-4929	15	16	.	.	PUNCT
easat-4929	16	1	keywords	keyword	NOUN
easat-4929	16	2	:	:	PUNCT
easat-4929	16	3	classification	classification	NOUN
easat-4929	16	4	models	model	NOUN
easat-4929	16	5	,	,	PUNCT
easat-4929	16	6	diabetes	diabetes	NOUN
easat-4929	16	7	readmission	readmission	NOUN
easat-4929	16	8	,	,	PUNCT
easat-4929	16	9	healthcare	healthcare	PROPN
easat-4929	16	10	,	,	PUNCT
easat-4929	16	11	machine	machine	NOUN
easat-4929	16	12	learning	learning	NOUN
easat-4929	16	13	,	,	PUNCT
easat-4929	16	14	predictive	predictive	ADJ
easat-4929	16	15	modelling	modelling	NOUN
easat-4929	16	16	,	,	PUNCT
easat-4929	16	17	readmission	readmission	NOUN
easat-4929	16	18	risk	risk	NOUN
easat-4929	16	19	prediction	prediction	NOUN
easat-4929	16	20	.	.	PUNCT
easat-4929	17	1	1	1	X
easat-4929	17	2	.	.	X
easat-4929	17	3	introduction	introduction	NOUN
easat-4929	17	4	1.1	1.1	NUM
easat-4929	17	5	.	.	PUNCT
easat-4929	18	1	background	background	NOUN
easat-4929	18	2	the	the	DET
easat-4929	18	3	increasing	increase	VERB
easat-4929	18	4	number	number	NOUN
easat-4929	18	5	of	of	ADP
easat-4929	18	6	diabetes	diabetes	NOUN
easat-4929	18	7	cases	case	NOUN
easat-4929	18	8	is	be	AUX
easat-4929	18	9	alarming	alarming	ADJ
easat-4929	18	10	,	,	PUNCT
easat-4929	18	11	as	as	SCONJ
easat-4929	18	12	this	this	DET
easat-4929	18	13	condition	condition	NOUN
easat-4929	18	14	is	be	AUX
easat-4929	18	15	rapidly	rapidly	ADV
easat-4929	18	16	becoming	become	VERB
easat-4929	18	17	a	a	DET
easat-4929	18	18	global	global	ADJ
easat-4929	18	19	epidemic	epidemic	NOUN
easat-4929	18	20	and	and	CCONJ
easat-4929	18	21	a	a	DET
easat-4929	18	22	public	public	ADJ
easat-4929	18	23	health	health	NOUN
easat-4929	18	24	issue	issue	NOUN
easat-4929	18	25	.	.	PUNCT
easat-4929	19	1	as	as	SCONJ
easat-4929	19	2	reported	report	VERB
easat-4929	19	3	by	by	ADP
easat-4929	19	4	idf	idf	PROPN
easat-4929	19	5	diabetes	diabetes	NOUN
easat-4929	19	6	atlas	atlas	PROPN
easat-4929	19	7	[	[	X
easat-4929	19	8	1	1	X
easat-4929	19	9	]	]	PUNCT
easat-4929	19	10	in	in	ADP
easat-4929	19	11	2021	2021	NUM
easat-4929	19	12	,	,	PUNCT
easat-4929	19	13	537	537	NUM
easat-4929	19	14	million	million	NUM
easat-4929	19	15	adults	adult	NOUN
easat-4929	19	16	were	be	AUX
easat-4929	19	17	diagnosed	diagnose	VERB
easat-4929	19	18	with	with	ADP
easat-4929	19	19	diabetes	diabetes	NOUN
easat-4929	19	20	and	and	CCONJ
easat-4929	19	21	that	that	DET
easat-4929	19	22	number	number	NOUN
easat-4929	19	23	is	be	AUX
easat-4929	19	24	expected	expect	VERB
easat-4929	19	25	to	to	PART
easat-4929	19	26	increase	increase	VERB
easat-4929	19	27	to	to	ADP
easat-4929	19	28	over	over	ADP
easat-4929	19	29	783	783	NUM
easat-4929	19	30	million	million	NUM
easat-4929	19	31	by	by	ADP
easat-4929	19	32	2045	2045	NUM
easat-4929	20	1	[	[	X
easat-4929	20	2	2	2	NUM
easat-4929	20	3	]	]	PUNCT
easat-4929	20	4	.	.	PUNCT
easat-4929	21	1	the	the	DET
easat-4929	21	2	alarming	alarming	ADJ
easat-4929	21	3	number	number	NOUN
easat-4929	21	4	of	of	ADP
easat-4929	21	5	people	people	NOUN
easat-4929	21	6	suffering	suffer	VERB
easat-4929	21	7	from	from	ADP
easat-4929	21	8	diabetes	diabetes	NOUN
easat-4929	21	9	is	be	AUX
easat-4929	21	10	likely	likely	ADJ
easat-4929	21	11	to	to	PART
easat-4929	21	12	lead	lead	VERB
easat-4929	21	13	to	to	ADP
easat-4929	21	14	an	an	DET
easat-4929	21	15	increase	increase	NOUN
easat-4929	21	16	in	in	ADP
easat-4929	21	17	the	the	DET
easat-4929	21	18	number	number	NOUN
easat-4929	21	19	of	of	ADP
easat-4929	21	20	patients	patient	NOUN
easat-4929	21	21	being	be	AUX
easat-4929	21	22	readmitted	readmitte	VERB
easat-4929	21	23	to	to	ADP
easat-4929	21	24	hospitals	hospital	NOUN
easat-4929	21	25	.	.	PUNCT
easat-4929	22	1	persistent	persistent	ADJ
easat-4929	22	2	readmissions	readmission	NOUN
easat-4929	22	3	are	be	AUX
easat-4929	22	4	a	a	DET
easat-4929	22	5	significant	significant	ADJ
easat-4929	22	6	concern	concern	NOUN
easat-4929	22	7	due	due	ADP
easat-4929	22	8	to	to	ADP
easat-4929	22	9	their	their	PRON
easat-4929	22	10	adverse	adverse	ADJ
easat-4929	22	11	effects	effect	NOUN
easat-4929	22	12	on	on	ADP
easat-4929	22	13	patient	patient	ADJ
easat-4929	22	14	health	health	NOUN
easat-4929	22	15	outcomes	outcome	NOUN
easat-4929	22	16	and	and	CCONJ
easat-4929	22	17	the	the	DET
easat-4929	22	18	additional	additional	ADJ
easat-4929	22	19	expenses	expense	NOUN
easat-4929	22	20	they	they	PRON
easat-4929	22	21	incur	incur	VERB
easat-4929	22	22	.	.	PUNCT
easat-4929	23	1	to	to	PART
easat-4929	23	2	address	address	VERB
easat-4929	23	3	this	this	DET
easat-4929	23	4	issue	issue	NOUN
easat-4929	23	5	and	and	CCONJ
easat-4929	23	6	improve	improve	VERB
easat-4929	23	7	quality	quality	NOUN
easat-4929	23	8	and	and	CCONJ
easat-4929	23	9	outcomes	outcome	NOUN
easat-4929	23	10	in	in	ADP
easat-4929	23	11	the	the	DET
easat-4929	23	12	health	health	NOUN
easat-4929	23	13	care	care	NOUN
easat-4929	23	14	system	system	NOUN
easat-4929	23	15	the	the	DET
easat-4929	23	16	centres	centre	NOUN
easat-4929	23	17	for	for	ADP
easat-4929	23	18	medicare	medicare	PROPN
easat-4929	23	19	&	&	CCONJ
easat-4929	23	20	medicaid	medicaid	PROPN
easat-4929	23	21	services	services	PROPN
easat-4929	23	22	(	(	PUNCT
easat-4929	23	23	cms	cms	NOUN
easat-4929	23	24	)	)	PUNCT
easat-4929	24	1	[	[	X
easat-4929	24	2	3	3	X
easat-4929	24	3	]	]	PUNCT
easat-4929	24	4	established	establish	VERB
easat-4929	24	5	the	the	DET
easat-4929	24	6	hospital	hospital	NOUN
easat-4929	24	7	readmission	readmission	NOUN
easat-4929	24	8	reduction	reduction	NOUN
easat-4929	24	9	program	program	NOUN
easat-4929	24	10	(	(	PUNCT
easat-4929	24	11	hrrp	hrrp	X
easat-4929	24	12	)	)	PUNCT
easat-4929	25	1	[	[	X
easat-4929	25	2	4	4	NUM
easat-4929	25	3	]	]	PUNCT
easat-4929	25	4	.	.	PUNCT
easat-4929	26	1	in	in	ADP
easat-4929	26	2	order	order	NOUN
easat-4929	26	3	to	to	PART
easat-4929	26	4	reduce	reduce	VERB
easat-4929	26	5	hospital	hospital	NOUN
easat-4929	26	6	readmissions	readmission	NOUN
easat-4929	26	7	rates	rate	NOUN
easat-4929	26	8	,	,	PUNCT
easat-4929	26	9	the	the	DET
easat-4929	26	10	hrrp	hrrp	NOUN
easat-4929	26	11	applied	apply	VERB
easat-4929	26	12	penalties	penalty	NOUN
easat-4929	26	13	to	to	ADP
easat-4929	26	14	hospitals	hospital	NOUN
easat-4929	26	15	with	with	ADP
easat-4929	26	16	excessive	excessive	ADJ
easat-4929	26	17	readmissions	readmission	NOUN
easat-4929	26	18	which	which	PRON
easat-4929	26	19	in	in	ADP
easat-4929	26	20	turn	turn	NOUN
easat-4929	26	21	is	be	AUX
easat-4929	26	22	believed	believe	VERB
easat-4929	26	23	to	to	PART
easat-4929	26	24	enhance	enhance	VERB
easat-4929	26	25	care	care	NOUN
easat-4929	26	26	for	for	ADP
easat-4929	26	27	patients	patient	NOUN
easat-4929	26	28	.	.	PUNCT
easat-4929	27	1	it	it	PRON
easat-4929	27	2	aims	aim	VERB
easat-4929	27	3	to	to	PART
easat-4929	27	4	lower	lower	VERB
easat-4929	27	5	costs	cost	NOUN
easat-4929	27	6	while	while	SCONJ
easat-4929	27	7	better	well	ADV
easat-4929	27	8	serving	serve	VERB
easat-4929	27	9	patients	patient	NOUN
easat-4929	27	10	by	by	ADP
easat-4929	27	11	encouraging	encourage	VERB
easat-4929	27	12	hospitals	hospital	NOUN
easat-4929	27	13	to	to	PART
easat-4929	27	14	improve	improve	VERB
easat-4929	27	15	care	care	NOUN
easat-4929	27	16	coordination	coordination	NOUN
easat-4929	27	17	.	.	PUNCT
easat-4929	28	1	while	while	SCONJ
easat-4929	28	2	the	the	DET
easat-4929	28	3	hrrp	hrrp	NOUN
easat-4929	28	4	does	do	AUX
easat-4929	28	5	not	not	PART
easat-4929	28	6	specifically	specifically	ADV
easat-4929	28	7	target	target	VERB
easat-4929	28	8	diabetes	diabete	NOUN
easat-4929	28	9	,	,	PUNCT
easat-4929	28	10	the	the	DET
easat-4929	28	11	diabetes	diabetes	NOUN
easat-4929	28	12	is	be	AUX
easat-4929	28	13	a	a	DET
easat-4929	28	14	condition	condition	NOUN
easat-4929	28	15	that	that	PRON
easat-4929	28	16	puts	put	VERB
easat-4929	28	17	patients	patient	NOUN
easat-4929	28	18	at	at	ADP
easat-4929	28	19	a	a	DET
easat-4929	28	20	high	high	ADJ
easat-4929	28	21	risk	risk	NOUN
easat-4929	28	22	of	of	ADP
easat-4929	28	23	being	be	AUX
easat-4929	28	24	readmitted	readmitte	VERB
easat-4929	28	25	to	to	ADP
easat-4929	28	26	healthcare	healthcare	NOUN
easat-4929	28	27	institutions	institution	NOUN
easat-4929	28	28	.	.	PUNCT
easat-4929	29	1	readmission	readmission	NOUN
easat-4929	29	2	rates	rate	NOUN
easat-4929	29	3	for	for	ADP
easat-4929	29	4	diabetics	diabetic	NOUN
easat-4929	29	5	are	be	AUX
easat-4929	29	6	significantly	significantly	ADV
easat-4929	29	7	higher	high	ADJ
easat-4929	29	8	ranging	range	VERB
easat-4929	29	9	from	from	ADP
easat-4929	29	10	14.4	14.4	NUM
easat-4929	29	11	%	%	NOUN
easat-4929	29	12	to	to	ADP
easat-4929	29	13	22.7	22.7	NUM
easat-4929	29	14	%	%	NOUN
easat-4929	29	15	,	,	PUNCT
easat-4929	29	16	compared	compare	VERB
easat-4929	29	17	to	to	ADP
easat-4929	29	18	8.5	8.5	NUM
easat-4929	29	19	%	%	NOUN
easat-4929	29	20	to	to	ADP
easat-4929	29	21	13.5	13.5	NUM
easat-4929	29	22	%	%	NOUN
easat-4929	29	23	in	in	ADP
easat-4929	29	24	the	the	DET
easat-4929	29	25	general	general	ADJ
easat-4929	29	26	population	population	NOUN
easat-4929	30	1	[	[	X
easat-4929	30	2	5	5	NUM
easat-4929	30	3	]	]	PUNCT
easat-4929	30	4	.	.	PUNCT
easat-4929	31	1	only	only	ADV
easat-4929	31	2	in	in	ADP
easat-4929	31	3	2018	2018	NUM
easat-4929	31	4	,	,	PUNCT
easat-4929	31	5	diabetes	diabetes	NOUN
easat-4929	31	6	with	with	ADP
easat-4929	31	7	complications	complication	NOUN
easat-4929	31	8	accounted	account	VERB
easat-4929	31	9	for	for	ADP
easat-4929	31	10	122,400	122,400	NUM
easat-4929	31	11	readmissions	readmission	NOUN
easat-4929	31	12	,	,	PUNCT
easat-4929	31	13	with	with	SCONJ
easat-4929	31	14	an	an	DET
easat-4929	31	15	average	average	ADJ
easat-4929	31	16	cost	cost	NOUN
easat-4929	31	17	per	per	ADP
easat-4929	31	18	readmission	readmission	NOUN
easat-4929	31	19	was	be	AUX
easat-4929	31	20	approximately	approximately	ADV
easat-4929	31	21	$	$	SYM
easat-4929	31	22	15,200	15,200	NUM
easat-4929	32	1	[	[	PUNCT
easat-4929	32	2	6	6	NUM
easat-4929	32	3	]	]	PUNCT
easat-4929	32	4	.	.	PUNCT
easat-4929	33	1	https://orcid.org/0000-0003-3654-6606	https://orcid.org/0000-0003-3654-6606	PROPN
easat-4929	33	2	mailto:tafaul@t-com.me	mailto:tafaul@t-com.me	PROPN
easat-4929	33	3	1804	1804	NUM
easat-4929	33	4	edelweiss	edelweiss	PROPN
easat-4929	33	5	applied	apply	VERB
easat-4929	33	6	science	science	NOUN
easat-4929	33	7	and	and	CCONJ
easat-4929	33	8	technology	technology	NOUN
easat-4929	33	9	issn	issn	PROPN
easat-4929	33	10	:	:	PUNCT
easat-4929	33	11	2576	2576	NUM
easat-4929	33	12	-	-	SYM
easat-4929	33	13	8484	8484	NUM
easat-4929	33	14	vol	vol	NOUN
easat-4929	33	15	.	.	PROPN
easat-4929	34	1	9	9	NUM
easat-4929	34	2	,	,	PUNCT
easat-4929	34	3	no	no	INTJ
easat-4929	34	4	.	.	NOUN
easat-4929	34	5	2	2	NUM
easat-4929	34	6	:	:	SYM
easat-4929	34	7	1803	1803	NUM
easat-4929	34	8	-	-	SYM
easat-4929	34	9	1829	1829	NUM
easat-4929	34	10	,	,	PUNCT
easat-4929	34	11	2025	2025	NUM
easat-4929	34	12	doi	doi	NOUN
easat-4929	34	13	:	:	PUNCT
easat-4929	34	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	34	15	©	©	PROPN
easat-4929	34	16	2025	2025	NUM
easat-4929	34	17	by	by	ADP
easat-4929	34	18	the	the	DET
easat-4929	34	19	authors	author	NOUN
easat-4929	34	20	;	;	PUNCT
easat-4929	34	21	licensee	licensee	PROPN
easat-4929	34	22	learning	learning	NOUN
easat-4929	34	23	gate	gate	VERB
easat-4929	34	24	the	the	DET
easat-4929	34	25	complications	complication	NOUN
easat-4929	34	26	and	and	CCONJ
easat-4929	34	27	costs	cost	NOUN
easat-4929	34	28	of	of	ADP
easat-4929	34	29	diabetes	diabetes	NOUN
easat-4929	34	30	-	-	PUNCT
easat-4929	34	31	related	relate	VERB
easat-4929	34	32	readmissions	readmission	NOUN
easat-4929	34	33	highlight	highlight	VERB
easat-4929	34	34	the	the	DET
easat-4929	34	35	need	need	NOUN
easat-4929	34	36	for	for	ADP
easat-4929	34	37	improved	improved	ADJ
easat-4929	34	38	identification	identification	NOUN
easat-4929	34	39	,	,	PUNCT
easat-4929	34	40	planning	planning	NOUN
easat-4929	34	41	,	,	PUNCT
easat-4929	34	42	and	and	CCONJ
easat-4929	34	43	healthcare	healthcare	PROPN
easat-4929	34	44	management	management	NOUN
easat-4929	34	45	.	.	PUNCT
easat-4929	35	1	currently	currently	ADV
easat-4929	35	2	,	,	PUNCT
easat-4929	35	3	diabetes	diabetes	VERB
easat-4929	35	4	early	early	ADJ
easat-4929	35	5	readmission	readmission	NOUN
easat-4929	35	6	risk	risk	NOUN
easat-4929	35	7	index	index	NOUN
easat-4929	35	8	(	(	PUNCT
easat-4929	35	9	derri	derri	NOUN
easat-4929	35	10	)	)	PUNCT
easat-4929	35	11	is	be	AUX
easat-4929	35	12	a	a	DET
easat-4929	35	13	widely	widely	ADV
easat-4929	35	14	used	use	VERB
easat-4929	35	15	method	method	NOUN
easat-4929	35	16	for	for	ADP
easat-4929	35	17	readmission	readmission	NOUN
easat-4929	35	18	estimation	estimation	NOUN
easat-4929	35	19	.	.	PUNCT
easat-4929	36	1	however	however	ADV
easat-4929	36	2	,	,	PUNCT
easat-4929	36	3	this	this	DET
easat-4929	36	4	methodology	methodology	NOUN
easat-4929	36	5	,	,	PUNCT
easat-4929	36	6	based	base	VERB
easat-4929	36	7	on	on	ADP
easat-4929	36	8	the	the	DET
easat-4929	36	9	serious	serious	ADJ
easat-4929	36	10	diabetic	diabetic	ADJ
easat-4929	36	11	complications	complication	NOUN
easat-4929	36	12	and	and	CCONJ
easat-4929	36	13	patients	patient	NOUN
easat-4929	36	14	’	'	PUNCT
easat-4929	36	15	most	most	ADV
easat-4929	36	16	recent	recent	ADJ
easat-4929	36	17	hba1c	hba1c	NOUN
easat-4929	36	18	,	,	PUNCT
easat-4929	36	19	lacks	lack	VERB
easat-4929	36	20	the	the	DET
easat-4929	36	21	reliability	reliability	NOUN
easat-4929	36	22	.	.	PUNCT
easat-4929	37	1	predicting	predict	VERB
easat-4929	37	2	readmissions	readmission	NOUN
easat-4929	37	3	remains	remains	AUX
easat-4929	37	4	challenging	challenge	VERB
easat-4929	37	5	and	and	CCONJ
easat-4929	37	6	relies	rely	VERB
easat-4929	37	7	heavily	heavily	ADV
easat-4929	37	8	on	on	ADP
easat-4929	37	9	hospital	hospital	NOUN
easat-4929	37	10	resources	resource	NOUN
easat-4929	37	11	and	and	CCONJ
easat-4929	37	12	discharge	discharge	VERB
easat-4929	37	13	planning	planning	NOUN
easat-4929	37	14	efficiency	efficiency	NOUN
easat-4929	37	15	[	[	X
easat-4929	37	16	7	7	NUM
easat-4929	37	17	]	]	PUNCT
easat-4929	37	18	.	.	PUNCT
easat-4929	38	1	the	the	DET
easat-4929	38	2	unintended	unintended	ADJ
easat-4929	38	3	results	result	NOUN
easat-4929	38	4	of	of	ADP
easat-4929	38	5	the	the	DET
easat-4929	38	6	hrrp	hrrp	NOUN
easat-4929	38	7	,	,	PUNCT
easat-4929	38	8	on	on	ADP
easat-4929	38	9	the	the	DET
easat-4929	38	10	other	other	ADJ
easat-4929	38	11	hand	hand	NOUN
easat-4929	38	12	,	,	PUNCT
easat-4929	38	13	make	make	VERB
easat-4929	38	14	these	these	DET
easat-4929	38	15	challenges	challenge	NOUN
easat-4929	38	16	even	even	ADV
easat-4929	38	17	harder	hard	ADV
easat-4929	38	18	.	.	PUNCT
easat-4929	39	1	although	although	SCONJ
easat-4929	39	2	the	the	DET
easat-4929	39	3	program	program	NOUN
easat-4929	39	4	has	have	AUX
easat-4929	39	5	effectively	effectively	ADV
easat-4929	39	6	lowered	lower	VERB
easat-4929	39	7	readmittance	readmittance	NOUN
easat-4929	39	8	rates	rate	NOUN
easat-4929	39	9	,	,	PUNCT
easat-4929	39	10	there	there	PRON
easat-4929	39	11	are	be	VERB
easat-4929	39	12	worries	worry	NOUN
easat-4929	39	13	that	that	SCONJ
easat-4929	39	14	hospitals	hospital	NOUN
easat-4929	39	15	may	may	AUX
easat-4929	39	16	choose	choose	VERB
easat-4929	39	17	to	to	PART
easat-4929	39	18	not	not	PART
easat-4929	39	19	allow	allow	VERB
easat-4929	39	20	readmission	readmission	NOUN
easat-4929	39	21	for	for	ADP
easat-4929	39	22	those	those	DET
easat-4929	39	23	patients	patient	NOUN
easat-4929	39	24	whom	whom	PRON
easat-4929	39	25	they	they	PRON
easat-4929	39	26	feel	feel	VERB
easat-4929	39	27	require	require	VERB
easat-4929	39	28	additional	additional	ADJ
easat-4929	39	29	attention	attention	NOUN
easat-4929	39	30	so	so	SCONJ
easat-4929	39	31	that	that	SCONJ
easat-4929	39	32	they	they	PRON
easat-4929	39	33	are	be	AUX
easat-4929	39	34	not	not	PART
easat-4929	39	35	penalized	penalize	VERB
easat-4929	39	36	.	.	PUNCT
easat-4929	40	1	this	this	PRON
easat-4929	40	2	is	be	AUX
easat-4929	40	3	a	a	DET
easat-4929	40	4	serious	serious	ADJ
easat-4929	40	5	problem	problem	NOUN
easat-4929	40	6	particularly	particularly	ADV
easat-4929	40	7	in	in	ADP
easat-4929	40	8	complex	complex	ADJ
easat-4929	40	9	patients	patient	NOUN
easat-4929	40	10	with	with	ADP
easat-4929	40	11	conditions	condition	NOUN
easat-4929	40	12	such	such	ADJ
easat-4929	40	13	as	as	ADP
easat-4929	40	14	diabetes	diabetes	NOUN
easat-4929	40	15	where	where	SCONJ
easat-4929	40	16	incentivizing	incentivize	VERB
easat-4929	40	17	readmission	readmission	NOUN
easat-4929	40	18	reductions	reduction	NOUN
easat-4929	40	19	can	can	AUX
easat-4929	40	20	lead	lead	VERB
easat-4929	40	21	to	to	ADP
easat-4929	40	22	adverse	adverse	ADJ
easat-4929	40	23	events	event	NOUN
easat-4929	40	24	[	[	X
easat-4929	40	25	3	3	NUM
easat-4929	40	26	]	]	PUNCT
easat-4929	40	27	.	.	PUNCT
easat-4929	41	1	under	under	ADP
easat-4929	41	2	these	these	DET
easat-4929	41	3	limitations	limitation	NOUN
easat-4929	41	4	,	,	PUNCT
easat-4929	41	5	ml	ml	X
easat-4929	42	1	[	[	X
easat-4929	42	2	8	8	NUM
easat-4929	42	3	]	]	PUNCT
easat-4929	42	4	appears	appear	VERB
easat-4929	42	5	to	to	PART
easat-4929	42	6	be	be	AUX
easat-4929	42	7	a	a	DET
easat-4929	42	8	remarkably	remarkably	ADV
easat-4929	42	9	unique	unique	ADJ
easat-4929	42	10	resource	resource	NOUN
easat-4929	42	11	for	for	ADP
easat-4929	42	12	prediction	prediction	NOUN
easat-4929	42	13	and	and	CCONJ
easat-4929	42	14	a	a	DET
easat-4929	42	15	motivating	motivating	NOUN
easat-4929	42	16	approach	approach	NOUN
easat-4929	42	17	to	to	PART
easat-4929	42	18	explore	explore	VERB
easat-4929	42	19	.	.	PUNCT
easat-4929	43	1	in	in	ADP
easat-4929	43	2	contrast	contrast	NOUN
easat-4929	43	3	to	to	ADP
easat-4929	43	4	conventional	conventional	ADJ
easat-4929	43	5	techniques	technique	NOUN
easat-4929	43	6	,	,	PUNCT
easat-4929	43	7	learning	learn	VERB
easat-4929	43	8	algorithms	algorithms	NOUN
easat-4929	43	9	[	[	X
easat-4929	43	10	9	9	NUM
easat-4929	43	11	]	]	PUNCT
easat-4929	43	12	can	can	AUX
easat-4929	43	13	examine	examine	VERB
easat-4929	43	14	intricate	intricate	ADJ
easat-4929	43	15	datasets	dataset	NOUN
easat-4929	43	16	to	to	PART
easat-4929	43	17	uncover	uncover	VERB
easat-4929	43	18	patterns	pattern	NOUN
easat-4929	43	19	and	and	CCONJ
easat-4929	43	20	risk	risk	NOUN
easat-4929	43	21	elements	element	NOUN
easat-4929	43	22	,	,	PUNCT
easat-4929	43	23	leading	lead	VERB
easat-4929	43	24	to	to	ADP
easat-4929	43	25	more	more	ADV
easat-4929	43	26	accurate	accurate	ADJ
easat-4929	43	27	forecasts	forecast	NOUN
easat-4929	43	28	of	of	ADP
easat-4929	43	29	readmission	readmission	NOUN
easat-4929	43	30	risk	risk	NOUN
easat-4929	43	31	.	.	PUNCT
easat-4929	44	1	simultaneously	simultaneously	ADV
easat-4929	44	2	,	,	PUNCT
easat-4929	44	3	it	it	PRON
easat-4929	44	4	can	can	AUX
easat-4929	44	5	enhance	enhance	VERB
easat-4929	44	6	resource	resource	NOUN
easat-4929	44	7	distribution	distribution	NOUN
easat-4929	44	8	and	and	CCONJ
easat-4929	44	9	individualized	individualized	ADJ
easat-4929	44	10	patient	patient	ADJ
easat-4929	44	11	treatment	treatment	NOUN
easat-4929	44	12	.	.	PUNCT
easat-4929	45	1	1.2	1.2	NUM
easat-4929	45	2	.	.	PUNCT
easat-4929	46	1	purpose	purpose	NOUN
easat-4929	46	2	this	this	DET
easat-4929	46	3	study	study	NOUN
easat-4929	46	4	aims	aim	VERB
easat-4929	46	5	to	to	PART
easat-4929	46	6	evaluate	evaluate	VERB
easat-4929	46	7	the	the	DET
easat-4929	46	8	ml	ml	NOUN
easat-4929	46	9	predictive	predictive	ADJ
easat-4929	46	10	models	model	NOUN
easat-4929	46	11	for	for	ADP
easat-4929	46	12	hospital	hospital	NOUN
easat-4929	46	13	readmissions	readmission	NOUN
easat-4929	46	14	among	among	ADP
easat-4929	46	15	diabetic	diabetic	ADJ
easat-4929	46	16	patients	patient	NOUN
easat-4929	46	17	by	by	ADP
easat-4929	46	18	using	use	VERB
easat-4929	46	19	historical	historical	ADJ
easat-4929	46	20	healthcare	healthcare	NOUN
easat-4929	46	21	data	datum	NOUN
easat-4929	46	22	from	from	ADP
easat-4929	46	23	the	the	DET
easat-4929	46	24	"	"	PUNCT
easat-4929	46	25	diabetes	diabetes	NOUN
easat-4929	46	26	130	130	NUM
easat-4929	46	27	-	-	PUNCT
easat-4929	46	28	us	we	PRON
easat-4929	46	29	hospitals	hospital	NOUN
easat-4929	46	30	for	for	ADP
easat-4929	46	31	years	year	NOUN
easat-4929	46	32	1999	1999	NUM
easat-4929	46	33	-	-	SYM
easat-4929	46	34	2008	2008	NUM
easat-4929	46	35	"	"	PUNCT
easat-4929	46	36	dataset	dataset	NOUN
easat-4929	46	37	[	[	X
easat-4929	46	38	10	10	NUM
easat-4929	46	39	]	]	PUNCT
easat-4929	46	40	.	.	PUNCT
easat-4929	47	1	the	the	DET
easat-4929	47	2	main	main	ADJ
easat-4929	47	3	objectives	objective	NOUN
easat-4929	47	4	of	of	ADP
easat-4929	47	5	this	this	DET
easat-4929	47	6	study	study	NOUN
easat-4929	47	7	are	be	AUX
easat-4929	47	8	:	:	PUNCT
easat-4929	47	9	•	•	ADP
easat-4929	47	10	to	to	PART
easat-4929	47	11	find	find	VERB
easat-4929	47	12	the	the	DET
easat-4929	47	13	most	most	ADV
easat-4929	47	14	significant	significant	ADJ
easat-4929	47	15	risk	risk	NOUN
easat-4929	47	16	factors	factor	NOUN
easat-4929	47	17	for	for	ADP
easat-4929	47	18	readmissions	readmission	NOUN
easat-4929	47	19	in	in	ADP
easat-4929	47	20	diabetic	diabetic	ADJ
easat-4929	47	21	patients	patient	NOUN
easat-4929	47	22	.	.	PUNCT
easat-4929	48	1	•	•	ADP
easat-4929	48	2	to	to	PART
easat-4929	48	3	develop	develop	VERB
easat-4929	48	4	and	and	CCONJ
easat-4929	48	5	refine	refine	VERB
easat-4929	48	6	various	various	ADJ
easat-4929	48	7	ml	ml	NOUN
easat-4929	48	8	models	model	NOUN
easat-4929	48	9	(	(	PUNCT
easat-4929	48	10	such	such	ADJ
easat-4929	48	11	as	as	ADP
easat-4929	48	12	logistic	logistic	ADJ
easat-4929	48	13	regression	regression	NOUN
easat-4929	48	14	,	,	PUNCT
easat-4929	48	15	sgd	sgd	PROPN
easat-4929	48	16	classifier	classifier	NOUN
easat-4929	48	17	,	,	PUNCT
easat-4929	48	18	decision	decision	NOUN
easat-4929	48	19	tree	tree	NOUN
easat-4929	48	20	,	,	PUNCT
easat-4929	48	21	random	random	ADJ
easat-4929	48	22	forest	forest	NOUN
easat-4929	48	23	,	,	PUNCT
easat-4929	48	24	gradient	gradient	ADJ
easat-4929	48	25	boosting	boost	VERB
easat-4929	48	26	classifier	classifier	NOUN
easat-4929	48	27	,	,	PUNCT
easat-4929	48	28	xgboost	xgboost	PROPN
easat-4929	48	29	,	,	PUNCT
easat-4929	48	30	svm	svm	ADJ
easat-4929	48	31	,	,	PUNCT
easat-4929	48	32	and	and	CCONJ
easat-4929	48	33	rnn	rnn	NOUN
easat-4929	48	34	)	)	PUNCT
easat-4929	48	35	to	to	PART
easat-4929	48	36	ascertain	ascertain	VERB
easat-4929	48	37	the	the	DET
easat-4929	48	38	likelihood	likelihood	NOUN
easat-4929	48	39	of	of	ADP
easat-4929	48	40	30	30	NUM
easat-4929	48	41	-	-	PUNCT
easat-4929	48	42	day	day	NOUN
easat-4929	48	43	readmissions	readmission	NOUN
easat-4929	48	44	.	.	PUNCT
easat-4929	49	1	the	the	DET
easat-4929	49	2	evaluation	evaluation	NOUN
easat-4929	49	3	is	be	AUX
easat-4929	49	4	based	base	VERB
easat-4929	49	5	on	on	ADP
easat-4929	49	6	standard	standard	ADJ
easat-4929	49	7	statistical	statistical	ADJ
easat-4929	49	8	,	,	PUNCT
easat-4929	49	9	graphical	graphical	ADJ
easat-4929	49	10	,	,	PUNCT
easat-4929	49	11	and	and	CCONJ
easat-4929	49	12	computational	computational	ADJ
easat-4929	49	13	methods	method	NOUN
easat-4929	49	14	,	,	PUNCT
easat-4929	49	15	such	such	ADJ
easat-4929	49	16	as	as	ADP
easat-4929	49	17	accuracy	accuracy	NOUN
easat-4929	49	18	,	,	PUNCT
easat-4929	49	19	recall	recall	NOUN
easat-4929	49	20	,	,	PUNCT
easat-4929	49	21	precision	precision	NOUN
easat-4929	49	22	,	,	PUNCT
easat-4929	49	23	specificity	specificity	NOUN
easat-4929	49	24	,	,	PUNCT
easat-4929	49	25	auc	auc	NOUN
easat-4929	49	26	,	,	PUNCT
easat-4929	49	27	f1	f1	NOUN
easat-4929	49	28	score	score	NOUN
easat-4929	49	29	,	,	PUNCT
easat-4929	49	30	prevalence	prevalence	NOUN
easat-4929	49	31	,	,	PUNCT
easat-4929	49	32	mean	mean	NOUN
easat-4929	49	33	squared	square	VERB
easat-4929	49	34	error	error	NOUN
easat-4929	49	35	,	,	PUNCT
easat-4929	49	36	and	and	CCONJ
easat-4929	49	37	r2	r2	PROPN
easat-4929	50	1	[	[	X
easat-4929	50	2	11	11	NUM
easat-4929	50	3	]	]	PUNCT
easat-4929	50	4	.	.	PUNCT
easat-4929	51	1	1.3	1.3	NUM
easat-4929	51	2	.	.	PUNCT
easat-4929	52	1	scope	scope	NOUN
easat-4929	52	2	of	of	ADP
easat-4929	52	3	the	the	DET
easat-4929	52	4	study	study	NOUN
easat-4929	52	5	the	the	DET
easat-4929	52	6	study	study	NOUN
easat-4929	52	7	focuses	focus	VERB
easat-4929	52	8	on	on	ADP
easat-4929	52	9	developing	develop	VERB
easat-4929	52	10	ml	ml	NOUN
easat-4929	52	11	models	model	NOUN
easat-4929	52	12	for	for	ADP
easat-4929	52	13	predicting	predict	VERB
easat-4929	52	14	30	30	NUM
easat-4929	52	15	-	-	PUNCT
easat-4929	52	16	day	day	NOUN
easat-4929	52	17	hospital	hospital	NOUN
easat-4929	52	18	readmissions	readmission	NOUN
easat-4929	52	19	among	among	ADP
easat-4929	52	20	diabetic	diabetic	ADJ
easat-4929	52	21	patients	patient	NOUN
easat-4929	52	22	,	,	PUNCT
easat-4929	52	23	leveraging	leverage	VERB
easat-4929	52	24	the	the	DET
easat-4929	52	25	"	"	PUNCT
easat-4929	52	26	diabetes	diabetes	NOUN
easat-4929	52	27	130	130	NUM
easat-4929	52	28	-	-	PUNCT
easat-4929	52	29	us	we	PRON
easat-4929	52	30	hospitals	hospital	NOUN
easat-4929	52	31	for	for	ADP
easat-4929	52	32	years	year	NOUN
easat-4929	52	33	1999	1999	NUM
easat-4929	52	34	-	-	SYM
easat-4929	52	35	2008	2008	NUM
easat-4929	52	36	"	"	PUNCT
easat-4929	52	37	dataset	dataset	NOUN
easat-4929	52	38	.	.	PUNCT
easat-4929	53	1	the	the	DET
easat-4929	53	2	dataset	dataset	NOUN
easat-4929	53	3	includes	include	VERB
easat-4929	53	4	50	50	NUM
easat-4929	53	5	features	feature	NOUN
easat-4929	53	6	encompassing	encompass	VERB
easat-4929	53	7	ten	ten	NUM
easat-4929	53	8	years	year	NOUN
easat-4929	53	9	of	of	ADP
easat-4929	53	10	inpatient	inpatient	NOUN
easat-4929	53	11	encounters	encounter	VERB
easat-4929	53	12	from	from	ADP
easat-4929	53	13	130	130	NUM
easat-4929	53	14	u.s	u.s	PROPN
easat-4929	53	15	.	.	PROPN
easat-4929	53	16	hospitals	hospital	NOUN
easat-4929	53	17	.	.	PUNCT
easat-4929	54	1	in	in	ADP
easat-4929	54	2	preparing	prepare	VERB
easat-4929	54	3	the	the	DET
easat-4929	54	4	data	datum	NOUN
easat-4929	54	5	for	for	ADP
easat-4929	54	6	modelling	modelling	NOUN
easat-4929	54	7	,	,	PUNCT
easat-4929	54	8	the	the	DET
easat-4929	54	9	study	study	NOUN
easat-4929	54	10	addresses	address	VERB
easat-4929	54	11	missing	miss	VERB
easat-4929	54	12	values	value	NOUN
easat-4929	54	13	and	and	CCONJ
easat-4929	54	14	applies	apply	VERB
easat-4929	54	15	many	many	ADJ
easat-4929	54	16	pre	pre	ADJ
easat-4929	54	17	-	-	ADJ
easat-4929	54	18	processing	processing	ADJ
easat-4929	54	19	techniques	technique	NOUN
easat-4929	54	20	.	.	PUNCT
easat-4929	55	1	however	however	ADV
easat-4929	55	2	,	,	PUNCT
easat-4929	55	3	we	we	PRON
easat-4929	55	4	recognize	recognize	VERB
easat-4929	55	5	certain	certain	ADJ
easat-4929	55	6	research	research	NOUN
easat-4929	55	7	limitations	limitation	NOUN
easat-4929	55	8	,	,	PUNCT
easat-4929	55	9	including	include	VERB
easat-4929	55	10	data	datum	NOUN
easat-4929	55	11	integrity	integrity	NOUN
easat-4929	55	12	issues	issue	NOUN
easat-4929	55	13	(	(	PUNCT
easat-4929	55	14	e.g.	e.g.	ADV
easat-4929	55	15	,	,	PUNCT
easat-4929	55	16	inconsistent	inconsistent	ADJ
easat-4929	55	17	categorizations	categorization	NOUN
easat-4929	55	18	)	)	PUNCT
easat-4929	55	19	,	,	PUNCT
easat-4929	55	20	incomplete	incomplete	ADJ
easat-4929	55	21	data	datum	NOUN
easat-4929	55	22	,	,	PUNCT
easat-4929	55	23	and	and	CCONJ
easat-4929	55	24	computational	computational	ADJ
easat-4929	55	25	resource	resource	NOUN
easat-4929	55	26	constraints	constraint	NOUN
easat-4929	55	27	.	.	PUNCT
easat-4929	56	1	although	although	SCONJ
easat-4929	56	2	the	the	DET
easat-4929	56	3	study	study	NOUN
easat-4929	56	4	gives	give	VERB
easat-4929	56	5	valuable	valuable	ADJ
easat-4929	56	6	insights	insight	NOUN
easat-4929	56	7	into	into	ADP
easat-4929	56	8	predicting	predict	VERB
easat-4929	56	9	readmissions	readmission	NOUN
easat-4929	56	10	within	within	ADP
easat-4929	56	11	30	30	NUM
easat-4929	56	12	days	day	NOUN
easat-4929	56	13	,	,	PUNCT
easat-4929	56	14	the	the	DET
easat-4929	56	15	current	current	ADJ
easat-4929	56	16	scope	scope	NOUN
easat-4929	56	17	excludes	exclude	VERB
easat-4929	56	18	the	the	DET
easat-4929	56	19	practical	practical	ADJ
easat-4929	56	20	application	application	NOUN
easat-4929	56	21	of	of	ADP
easat-4929	56	22	these	these	DET
easat-4929	56	23	ml	ml	NOUN
easat-4929	56	24	models	model	NOUN
easat-4929	56	25	in	in	ADP
easat-4929	56	26	clinical	clinical	ADJ
easat-4929	56	27	settings	setting	NOUN
easat-4929	56	28	.	.	PUNCT
easat-4929	57	1	1.4	1.4	NUM
easat-4929	57	2	.	.	PUNCT
easat-4929	57	3	contributions	contribution	NOUN
easat-4929	57	4	we	we	PRON
easat-4929	57	5	refine	refine	VERB
easat-4929	57	6	the	the	DET
easat-4929	57	7	process	process	NOUN
easat-4929	57	8	of	of	ADP
easat-4929	57	9	data	datum	NOUN
easat-4929	57	10	pre	pre	ADJ
easat-4929	57	11	-	-	ADJ
easat-4929	57	12	processing	processing	ADJ
easat-4929	57	13	and	and	CCONJ
easat-4929	57	14	model	model	NOUN
easat-4929	57	15	building	building	NOUN
easat-4929	57	16	through	through	ADP
easat-4929	57	17	careful	careful	ADJ
easat-4929	57	18	feature	feature	NOUN
easat-4929	57	19	engineering	engineering	NOUN
easat-4929	57	20	and	and	CCONJ
easat-4929	57	21	handling	handling	NOUN
easat-4929	57	22	of	of	ADP
easat-4929	57	23	data	datum	NOUN
easat-4929	57	24	challenges	challenge	NOUN
easat-4929	57	25	such	such	ADJ
easat-4929	57	26	as	as	ADP
easat-4929	57	27	class	class	NOUN
easat-4929	57	28	imbalance	imbalance	NOUN
easat-4929	57	29	,	,	PUNCT
easat-4929	57	30	optimisation	optimisation	NOUN
easat-4929	57	31	and	and	CCONJ
easat-4929	57	32	comparisons	comparison	NOUN
easat-4929	57	33	.	.	PUNCT
easat-4929	58	1	additionally	additionally	ADV
easat-4929	58	2	,	,	PUNCT
easat-4929	58	3	the	the	DET
easat-4929	58	4	study	study	NOUN
easat-4929	58	5	provides	provide	VERB
easat-4929	58	6	broader	broad	ADJ
easat-4929	58	7	insights	insight	NOUN
easat-4929	58	8	into	into	ADP
easat-4929	58	9	how	how	SCONJ
easat-4929	58	10	ml	ml	PRON
easat-4929	58	11	can	can	AUX
easat-4929	58	12	be	be	AUX
easat-4929	58	13	applied	apply	VERB
easat-4929	58	14	across	across	ADP
easat-4929	58	15	different	different	ADJ
easat-4929	58	16	patient	patient	ADJ
easat-4929	58	17	populations	population	NOUN
easat-4929	58	18	.	.	PUNCT
easat-4929	59	1	the	the	DET
easat-4929	59	2	methods	method	NOUN
easat-4929	59	3	used	use	VERB
easat-4929	59	4	here	here	ADV
easat-4929	59	5	,	,	PUNCT
easat-4929	59	6	particularly	particularly	ADV
easat-4929	59	7	in	in	ADP
easat-4929	59	8	data	data	NOUN
easat-4929	59	9	preparation	preparation	NOUN
easat-4929	59	10	and	and	CCONJ
easat-4929	59	11	model	model	NOUN
easat-4929	59	12	optimization	optimization	NOUN
easat-4929	59	13	,	,	PUNCT
easat-4929	59	14	can	can	AUX
easat-4929	59	15	be	be	AUX
easat-4929	59	16	adapted	adapt	VERB
easat-4929	59	17	to	to	PART
easat-4929	59	18	predict	predict	VERB
easat-4929	59	19	readmissions	readmission	NOUN
easat-4929	59	20	for	for	ADP
easat-4929	59	21	patients	patient	NOUN
easat-4929	59	22	with	with	ADP
easat-4929	59	23	other	other	ADJ
easat-4929	59	24	conditions	condition	NOUN
easat-4929	59	25	,	,	PUNCT
easat-4929	59	26	such	such	ADJ
easat-4929	59	27	as	as	ADP
easat-4929	59	28	heart	heart	NOUN
easat-4929	59	29	or	or	CCONJ
easat-4929	59	30	lung	lung	NOUN
easat-4929	59	31	diseases	disease	NOUN
easat-4929	59	32	.	.	PUNCT
easat-4929	60	1	in	in	ADP
easat-4929	60	2	this	this	DET
easat-4929	60	3	study	study	NOUN
easat-4929	60	4	we	we	PRON
easat-4929	60	5	have	have	AUX
easat-4929	60	6	also	also	ADV
easat-4929	60	7	advanced	advance	VERB
easat-4929	60	8	with	with	ADP
easat-4929	60	9	some	some	DET
easat-4929	60	10	other	other	ADJ
easat-4929	60	11	findings	finding	NOUN
easat-4929	60	12	referring	refer	VERB
easat-4929	60	13	to	to	ADP
easat-4929	60	14	machine	machine	NOUN
easat-4929	60	15	learning	learning	NOUN
easat-4929	60	16	methods	method	NOUN
easat-4929	60	17	including	include	VERB
easat-4929	60	18	svm	svm	NOUN
easat-4929	60	19	as	as	ADP
easat-4929	60	20	more	more	ADV
easat-4929	60	21	effective	effective	ADJ
easat-4929	60	22	in	in	ADP
easat-4929	60	23	high	high	ADJ
easat-4929	60	24	dimensional	dimensional	ADJ
easat-4929	60	25	data	datum	NOUN
easat-4929	60	26	and	and	CCONJ
easat-4929	60	27	rnn	rnn	PROPN
easat-4929	60	28	(	(	PUNCT
easat-4929	60	29	which	which	PRON
easat-4929	60	30	is	be	AUX
easat-4929	60	31	not	not	PART
easat-4929	60	32	a	a	DET
easat-4929	60	33	proper	proper	ADJ
easat-4929	60	34	one	one	NUM
easat-4929	60	35	1805	1805	NUM
easat-4929	60	36	edelweiss	edelweiss	PROPN
easat-4929	60	37	applied	apply	VERB
easat-4929	60	38	science	science	NOUN
easat-4929	60	39	and	and	CCONJ
easat-4929	60	40	technology	technology	NOUN
easat-4929	60	41	issn	issn	PROPN
easat-4929	60	42	:	:	PUNCT
easat-4929	60	43	2576	2576	NUM
easat-4929	60	44	-	-	SYM
easat-4929	60	45	8484	8484	NUM
easat-4929	60	46	vol	vol	NOUN
easat-4929	60	47	.	.	PROPN
easat-4929	61	1	9	9	NUM
easat-4929	61	2	,	,	PUNCT
easat-4929	61	3	no	no	INTJ
easat-4929	61	4	.	.	NOUN
easat-4929	61	5	2	2	NUM
easat-4929	61	6	:	:	SYM
easat-4929	61	7	1803	1803	NUM
easat-4929	61	8	-	-	SYM
easat-4929	61	9	1829	1829	NUM
easat-4929	61	10	,	,	PUNCT
easat-4929	61	11	2025	2025	NUM
easat-4929	61	12	doi	doi	NOUN
easat-4929	61	13	:	:	PUNCT
easat-4929	61	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	61	15	©	©	PROPN
easat-4929	61	16	2025	2025	NUM
easat-4929	61	17	by	by	ADP
easat-4929	61	18	the	the	DET
easat-4929	61	19	authors	author	NOUN
easat-4929	61	20	;	;	PUNCT
easat-4929	61	21	licensee	licensee	NOUN
easat-4929	61	22	learning	learning	NOUN
easat-4929	61	23	gate	gate	NOUN
easat-4929	61	24	for	for	ADP
easat-4929	61	25	tabular	tabular	PROPN
easat-4929	61	26	datasets	dataset	NOUN
easat-4929	61	27	)	)	PUNCT
easat-4929	61	28	and	and	CCONJ
easat-4929	61	29	the	the	DET
easat-4929	61	30	parameters	parameter	NOUN
easat-4929	61	31	used	use	VERB
easat-4929	61	32	to	to	PART
easat-4929	61	33	compare	compare	VERB
easat-4929	61	34	the	the	DET
easat-4929	61	35	performance	performance	NOUN
easat-4929	61	36	of	of	ADP
easat-4929	61	37	the	the	DET
easat-4929	61	38	models	model	NOUN
easat-4929	61	39	and	and	CCONJ
easat-4929	61	40	the	the	DET
easat-4929	61	41	variance	variance	NOUN
easat-4929	61	42	in	in	ADP
easat-4929	61	43	the	the	DET
easat-4929	61	44	target	target	NOUN
easat-4929	61	45	variable	variable	NOUN
easat-4929	61	46	which	which	PRON
easat-4929	61	47	is	be	AUX
easat-4929	61	48	readmission	readmission	NOUN
easat-4929	61	49	.	.	PUNCT
easat-4929	62	1	so	so	ADV
easat-4929	62	2	,	,	PUNCT
easat-4929	62	3	in	in	ADP
easat-4929	62	4	addition	addition	NOUN
easat-4929	62	5	to	to	ADP
easat-4929	62	6	auc	auc	VERB
easat-4929	62	7	scores	score	NOUN
easat-4929	62	8	,	,	PUNCT
easat-4929	62	9	we	we	PRON
easat-4929	62	10	have	have	AUX
easat-4929	62	11	also	also	ADV
easat-4929	62	12	applied	apply	VERB
easat-4929	62	13	r2	r2	PROPN
easat-4929	62	14	and	and	CCONJ
easat-4929	62	15	mse	mse	NOUN
easat-4929	62	16	measures	measure	NOUN
easat-4929	62	17	in	in	ADP
easat-4929	62	18	model	model	NOUN
easat-4929	62	19	evaluation	evaluation	NOUN
easat-4929	62	20	for	for	ADP
easat-4929	62	21	analyses	analysis	NOUN
easat-4929	62	22	and	and	CCONJ
easat-4929	62	23	conclusions	conclusion	NOUN
easat-4929	62	24	.	.	PUNCT
easat-4929	63	1	scaling	scale	VERB
easat-4929	63	2	these	these	DET
easat-4929	63	3	techniques	technique	NOUN
easat-4929	63	4	could	could	AUX
easat-4929	63	5	enable	enable	VERB
easat-4929	63	6	healthcare	healthcare	NOUN
easat-4929	63	7	providers	provider	NOUN
easat-4929	63	8	to	to	PART
easat-4929	63	9	develop	develop	VERB
easat-4929	63	10	targeted	target	VERB
easat-4929	63	11	interventions	intervention	NOUN
easat-4929	63	12	for	for	ADP
easat-4929	63	13	various	various	ADJ
easat-4929	63	14	patient	patient	ADJ
easat-4929	63	15	populations	population	NOUN
easat-4929	63	16	.	.	PUNCT
easat-4929	64	1	the	the	DET
easat-4929	64	2	findings	finding	NOUN
easat-4929	64	3	provide	provide	VERB
easat-4929	64	4	healthcare	healthcare	NOUN
easat-4929	64	5	practitioners	practitioner	NOUN
easat-4929	64	6	with	with	ADP
easat-4929	64	7	meaningful	meaningful	ADJ
easat-4929	64	8	insights	insight	NOUN
easat-4929	64	9	into	into	ADP
easat-4929	64	10	improving	improve	VERB
easat-4929	64	11	discharge	discharge	NOUN
easat-4929	64	12	protocols	protocol	NOUN
easat-4929	64	13	and	and	CCONJ
easat-4929	64	14	post	post	ADJ
easat-4929	64	15	-	-	ADJ
easat-4929	64	16	discharge	discharge	ADJ
easat-4929	64	17	care	care	NOUN
easat-4929	64	18	for	for	ADP
easat-4929	64	19	diabetes	diabetes	NOUN
easat-4929	64	20	patients	patient	NOUN
easat-4929	64	21	at	at	ADP
easat-4929	64	22	high	high	ADJ
easat-4929	64	23	risk	risk	NOUN
easat-4929	64	24	of	of	ADP
easat-4929	64	25	readmission	readmission	NOUN
easat-4929	64	26	.	.	PUNCT
easat-4929	65	1	the	the	DET
easat-4929	65	2	rest	rest	NOUN
easat-4929	65	3	of	of	ADP
easat-4929	65	4	this	this	DET
easat-4929	65	5	paper	paper	NOUN
easat-4929	65	6	is	be	AUX
easat-4929	65	7	organized	organize	VERB
easat-4929	65	8	as	as	SCONJ
easat-4929	65	9	follows	follow	VERB
easat-4929	65	10	.	.	PUNCT
easat-4929	66	1	the	the	DET
easat-4929	66	2	proceeding	proceeding	NOUN
easat-4929	66	3	section	section	NOUN
easat-4929	66	4	is	be	AUX
easat-4929	66	5	focused	focus	VERB
easat-4929	66	6	on	on	ADP
easat-4929	66	7	reviewing	review	VERB
easat-4929	66	8	the	the	DET
easat-4929	66	9	previous	previous	ADJ
easat-4929	66	10	work	work	NOUN
easat-4929	66	11	in	in	ADP
easat-4929	66	12	predicting	predict	VERB
easat-4929	66	13	hospital	hospital	NOUN
easat-4929	66	14	readmissions	readmission	NOUN
easat-4929	66	15	using	use	VERB
easat-4929	66	16	ml	ml	NOUN
easat-4929	66	17	.	.	PUNCT
easat-4929	66	18	section	section	PROPN
easat-4929	66	19	iii	iii	PROPN
easat-4929	66	20	presents	present	VERB
easat-4929	66	21	the	the	DET
easat-4929	66	22	methodology	methodology	NOUN
easat-4929	66	23	,	,	PUNCT
easat-4929	66	24	including	include	VERB
easat-4929	66	25	preparation	preparation	NOUN
easat-4929	66	26	of	of	ADP
easat-4929	66	27	datasets	dataset	NOUN
easat-4929	66	28	,	,	PUNCT
easat-4929	66	29	preprocessing	preprocessing	NOUN
easat-4929	66	30	and	and	CCONJ
easat-4929	66	31	processing	processing	NOUN
easat-4929	66	32	,	,	PUNCT
easat-4929	66	33	analysis	analysis	NOUN
easat-4929	66	34	,	,	PUNCT
easat-4929	66	35	trainings	training	NOUN
easat-4929	66	36	,	,	PUNCT
easat-4929	66	37	modelling	modelling	NOUN
easat-4929	66	38	and	and	CCONJ
easat-4929	66	39	evaluation	evaluation	NOUN
easat-4929	66	40	.	.	PUNCT
easat-4929	67	1	the	the	DET
easat-4929	67	2	results	result	NOUN
easat-4929	67	3	are	be	AUX
easat-4929	67	4	presented	present	VERB
easat-4929	67	5	in	in	ADP
easat-4929	67	6	section	section	NOUN
easat-4929	67	7	iv	iv	NUM
easat-4929	67	8	.	.	PUNCT
easat-4929	67	9	section	section	PROPN
easat-4929	67	10	v	v	PROPN
easat-4929	67	11	concludes	conclude	VERB
easat-4929	67	12	the	the	DET
easat-4929	67	13	paper	paper	NOUN
easat-4929	67	14	.	.	PUNCT
easat-4929	68	1	2	2	X
easat-4929	68	2	.	.	X
easat-4929	68	3	literature	literature	NOUN
easat-4929	68	4	review	review	VERB
easat-4929	68	5	the	the	DET
easat-4929	68	6	application	application	NOUN
easat-4929	68	7	of	of	ADP
easat-4929	68	8	ml	ml	NOUN
easat-4929	68	9	methods	method	NOUN
easat-4929	68	10	on	on	ADP
easat-4929	68	11	diabetes	diabetes	NOUN
easat-4929	68	12	datasets	dataset	NOUN
easat-4929	68	13	has	have	AUX
easat-4929	68	14	been	be	AUX
easat-4929	68	15	mainly	mainly	ADV
easat-4929	68	16	used	use	VERB
easat-4929	68	17	to	to	PART
easat-4929	68	18	classify	classify	VERB
easat-4929	68	19	the	the	DET
easat-4929	68	20	patients	patient	NOUN
easat-4929	68	21	as	as	ADP
easat-4929	68	22	diabetic	diabetic	ADJ
easat-4929	68	23	or	or	CCONJ
easat-4929	68	24	non	non	ADJ
easat-4929	68	25	-	-	ADJ
easat-4929	68	26	diabetic	diabetic	ADJ
easat-4929	68	27	,	,	PUNCT
easat-4929	68	28	or	or	CCONJ
easat-4929	68	29	in	in	ADP
easat-4929	68	30	predicting	predict	VERB
easat-4929	68	31	the	the	DET
easat-4929	68	32	likelihood	likelihood	NOUN
easat-4929	68	33	of	of	ADP
easat-4929	68	34	diabetes	diabetes	NOUN
easat-4929	68	35	occurrence	occurrence	NOUN
easat-4929	68	36	.	.	PUNCT
easat-4929	69	1	one	one	NUM
easat-4929	69	2	such	such	ADJ
easat-4929	69	3	hybrid	hybrid	ADJ
easat-4929	69	4	system	system	NOUN
easat-4929	69	5	,	,	PUNCT
easat-4929	69	6	build	build	VERB
easat-4929	69	7	on	on	ADP
easat-4929	69	8	naive	naive	ADJ
easat-4929	69	9	bayes	bayes	NOUN
easat-4929	69	10	classifier	classifier	NOUN
easat-4929	69	11	and	and	CCONJ
easat-4929	69	12	svm	svm	PROPN
easat-4929	69	13	is	be	AUX
easat-4929	69	14	presented	present	VERB
easat-4929	69	15	in	in	ADP
easat-4929	69	16	a	a	DET
easat-4929	69	17	study	study	NOUN
easat-4929	69	18	for	for	ADP
easat-4929	69	19	implementation	implementation	NOUN
easat-4929	69	20	of	of	ADP
easat-4929	69	21	supervised	supervised	ADJ
easat-4929	69	22	learning	learn	VERB
easat-4929	69	23	algorithms	algorithm	NOUN
easat-4929	69	24	in	in	ADP
easat-4929	69	25	disease	disease	NOUN
easat-4929	69	26	detection	detection	NOUN
easat-4929	69	27	[	[	X
easat-4929	69	28	12	12	NUM
easat-4929	69	29	]	]	PUNCT
easat-4929	69	30	.	.	PUNCT
easat-4929	70	1	the	the	DET
easat-4929	70	2	challenges	challenge	NOUN
easat-4929	70	3	in	in	ADP
easat-4929	70	4	diabetes	diabetes	NOUN
easat-4929	70	5	management	management	NOUN
easat-4929	70	6	,	,	PUNCT
easat-4929	70	7	the	the	DET
easat-4929	70	8	importance	importance	NOUN
easat-4929	70	9	of	of	ADP
easat-4929	70	10	diabetic	diabetic	ADJ
easat-4929	70	11	patients	patient	NOUN
easat-4929	70	12	’	'	PUNCT
easat-4929	70	13	readmissions	readmission	NOUN
easat-4929	70	14	,	,	PUNCT
easat-4929	70	15	and	and	CCONJ
easat-4929	70	16	the	the	DET
easat-4929	70	17	ml	ml	ADV
easat-4929	70	18	-	-	PUNCT
easat-4929	70	19	based	base	VERB
easat-4929	70	20	possibility	possibility	NOUN
easat-4929	70	21	of	of	ADP
easat-4929	70	22	readmission	readmission	NOUN
easat-4929	70	23	prediction	prediction	NOUN
easat-4929	70	24	have	have	AUX
easat-4929	70	25	been	be	AUX
easat-4929	70	26	extensively	extensively	ADV
easat-4929	70	27	explored	explore	VERB
easat-4929	70	28	in	in	ADP
easat-4929	70	29	literature	literature	NOUN
easat-4929	70	30	.	.	PUNCT
easat-4929	71	1	2.1	2.1	NUM
easat-4929	71	2	.	.	PUNCT
easat-4929	71	3	importance	importance	NOUN
easat-4929	71	4	of	of	ADP
easat-4929	71	5	hospital	hospital	NOUN
easat-4929	71	6	readmissions	readmission	NOUN
easat-4929	71	7	healthcare	healthcare	PROPN
easat-4929	71	8	readmission	readmission	NOUN
easat-4929	71	9	rates	rate	NOUN
easat-4929	71	10	are	be	AUX
easat-4929	71	11	among	among	ADP
easat-4929	71	12	the	the	DET
easat-4929	71	13	most	most	ADV
easat-4929	71	14	important	important	ADJ
easat-4929	71	15	measures	measure	NOUN
easat-4929	71	16	of	of	ADP
easat-4929	71	17	quality	quality	NOUN
easat-4929	71	18	within	within	ADP
easat-4929	71	19	healthcare	healthcare	NOUN
easat-4929	71	20	services	service	NOUN
easat-4929	71	21	,	,	PUNCT
easat-4929	71	22	as	as	SCONJ
easat-4929	71	23	they	they	PRON
easat-4929	71	24	reflect	reflect	VERB
easat-4929	71	25	the	the	DET
easat-4929	71	26	quality	quality	NOUN
easat-4929	71	27	of	of	ADP
easat-4929	71	28	care	care	NOUN
easat-4929	71	29	provided	provide	VERB
easat-4929	71	30	during	during	ADP
easat-4929	71	31	inpatient	inpatient	NOUN
easat-4929	71	32	stays	stay	VERB
easat-4929	71	33	and	and	CCONJ
easat-4929	71	34	after	after	ADP
easat-4929	71	35	discharge	discharge	NOUN
easat-4929	71	36	.	.	PUNCT
easat-4929	72	1	medicare	medicare	PROPN
easat-4929	72	2	and	and	CCONJ
easat-4929	72	3	other	other	ADJ
easat-4929	72	4	healthcare	healthcare	NOUN
easat-4929	72	5	providers	provider	NOUN
easat-4929	72	6	perceive	perceive	VERB
easat-4929	72	7	a	a	DET
easat-4929	72	8	high	high	ADJ
easat-4929	72	9	readmission	readmission	NOUN
easat-4929	72	10	rate	rate	NOUN
easat-4929	72	11	as	as	ADP
easat-4929	72	12	a	a	DET
easat-4929	72	13	lack	lack	NOUN
easat-4929	72	14	of	of	ADP
easat-4929	72	15	adequate	adequate	ADJ
easat-4929	72	16	care	care	NOUN
easat-4929	72	17	coordination	coordination	NOUN
easat-4929	72	18	and	and	CCONJ
easat-4929	72	19	as	as	ADP
easat-4929	72	20	an	an	DET
easat-4929	72	21	indicator	indicator	NOUN
easat-4929	72	22	of	of	ADP
easat-4929	72	23	where	where	SCONJ
easat-4929	72	24	improvement	improvement	NOUN
easat-4929	72	25	is	be	AUX
easat-4929	72	26	needed	need	VERB
easat-4929	72	27	so	so	SCONJ
easat-4929	72	28	that	that	SCONJ
easat-4929	72	29	hospitals	hospital	NOUN
easat-4929	72	30	do	do	AUX
easat-4929	72	31	not	not	PART
easat-4929	72	32	operate	operate	VERB
easat-4929	72	33	ineffectively	ineffectively	ADV
easat-4929	72	34	[	[	X
easat-4929	72	35	13	13	NUM
easat-4929	72	36	]	]	PUNCT
easat-4929	72	37	.	.	PUNCT
easat-4929	73	1	this	this	DET
easat-4929	73	2	indicator	indicator	NOUN
easat-4929	73	3	is	be	AUX
easat-4929	73	4	especially	especially	ADV
easat-4929	73	5	significant	significant	ADJ
easat-4929	73	6	where	where	SCONJ
easat-4929	73	7	chronic	chronic	ADJ
easat-4929	73	8	diseases	disease	NOUN
easat-4929	73	9	,	,	PUNCT
easat-4929	73	10	such	such	ADJ
easat-4929	73	11	as	as	ADP
easat-4929	73	12	diabetes	diabete	NOUN
easat-4929	73	13	,	,	PUNCT
easat-4929	73	14	are	be	AUX
easat-4929	73	15	concerned	concern	VERB
easat-4929	73	16	owing	owe	VERB
easat-4929	73	17	to	to	ADP
easat-4929	73	18	their	their	PRON
easat-4929	73	19	financial	financial	ADJ
easat-4929	73	20	and	and	CCONJ
easat-4929	73	21	clinical	clinical	ADJ
easat-4929	73	22	consequences	consequence	NOUN
easat-4929	73	23	.	.	PUNCT
easat-4929	74	1	as	as	ADP
easat-4929	74	2	association	association	NOUN
easat-4929	74	3	[	[	X
easat-4929	74	4	14	14	NUM
easat-4929	74	5	]	]	PUNCT
easat-4929	74	6	notes	note	NOUN
easat-4929	74	7	,	,	PUNCT
easat-4929	74	8	the	the	DET
easat-4929	74	9	cost	cost	NOUN
easat-4929	74	10	of	of	ADP
easat-4929	74	11	diagnosed	diagnose	VERB
easat-4929	74	12	diabetes	diabetes	NOUN
easat-4929	74	13	in	in	ADP
easat-4929	74	14	the	the	DET
easat-4929	74	15	united	united	PROPN
easat-4929	74	16	states	states	PROPN
easat-4929	74	17	in	in	ADP
easat-4929	74	18	2017	2017	NUM
easat-4929	74	19	was	be	AUX
easat-4929	74	20	estimated	estimate	VERB
easat-4929	74	21	at	at	ADP
easat-4929	74	22	$	$	SYM
easat-4929	74	23	327	327	NUM
easat-4929	74	24	billion	billion	NUM
easat-4929	74	25	and	and	CCONJ
easat-4929	74	26	30	30	NUM
easat-4929	74	27	%	%	NOUN
easat-4929	74	28	of	of	ADP
easat-4929	74	29	that	that	PRON
easat-4929	74	30	were	be	AUX
easat-4929	74	31	spent	spend	VERB
easat-4929	74	32	on	on	ADP
easat-4929	74	33	hospital	hospital	NOUN
easat-4929	74	34	inpatient	inpatient	PROPN
easat-4929	74	35	care	care	NOUN
easat-4929	74	36	directly	directly	ADV
easat-4929	74	37	related	relate	VERB
easat-4929	74	38	to	to	ADP
easat-4929	74	39	diabetes	diabetes	NOUN
easat-4929	74	40	.	.	PUNCT
easat-4929	75	1	in	in	ADP
easat-4929	75	2	addition	addition	NOUN
easat-4929	75	3	,	,	PUNCT
easat-4929	75	4	the	the	DET
easat-4929	75	5	emphasis	emphasis	NOUN
easat-4929	75	6	on	on	ADP
easat-4929	75	7	cost	cost	NOUN
easat-4929	75	8	containment	containment	NOUN
easat-4929	75	9	still	still	ADV
easat-4929	75	10	concentrates	concentrate	VERB
easat-4929	75	11	on	on	ADP
easat-4929	75	12	the	the	DET
easat-4929	75	13	prevention	prevention	NOUN
easat-4929	75	14	of	of	ADP
easat-4929	75	15	hospital	hospital	NOUN
easat-4929	75	16	readmissions	readmission	NOUN
easat-4929	75	17	because	because	SCONJ
easat-4929	75	18	it	it	PRON
easat-4929	75	19	is	be	AUX
easat-4929	75	20	where	where	SCONJ
easat-4929	75	21	improvement	improvement	NOUN
easat-4929	75	22	of	of	ADP
easat-4929	75	23	healthcare	healthcare	NOUN
easat-4929	75	24	quality	quality	NOUN
easat-4929	75	25	is	be	AUX
easat-4929	75	26	targeted	target	VERB
easat-4929	75	27	.	.	PUNCT
easat-4929	76	1	data	datum	NOUN
easat-4929	76	2	from	from	ADP
easat-4929	76	3	2016	2016	NUM
easat-4929	76	4	to	to	ADP
easat-4929	76	5	2020	2020	NUM
easat-4929	76	6	reveal	reveal	VERB
easat-4929	76	7	that	that	SCONJ
easat-4929	76	8	,	,	PUNCT
easat-4929	76	9	although	although	SCONJ
easat-4929	76	10	overall	overall	ADJ
easat-4929	76	11	readmission	readmission	NOUN
easat-4929	76	12	rates	rate	NOUN
easat-4929	76	13	have	have	AUX
easat-4929	76	14	moderately	moderately	ADV
easat-4929	76	15	declined	decline	VERB
easat-4929	76	16	,	,	PUNCT
easat-4929	76	17	a	a	DET
easat-4929	76	18	significant	significant	ADJ
easat-4929	76	19	proportion	proportion	NOUN
easat-4929	76	20	of	of	ADP
easat-4929	76	21	readmissions	readmission	NOUN
easat-4929	76	22	are	be	AUX
easat-4929	76	23	still	still	ADV
easat-4929	76	24	preventable	preventable	ADJ
easat-4929	76	25	[	[	X
easat-4929	76	26	15	15	NUM
easat-4929	76	27	]	]	PUNCT
easat-4929	76	28	.	.	PUNCT
easat-4929	77	1	this	this	DET
easat-4929	77	2	shift	shift	NOUN
easat-4929	77	3	emphasizes	emphasize	VERB
easat-4929	77	4	the	the	DET
easat-4929	77	5	need	need	NOUN
easat-4929	77	6	of	of	ADP
easat-4929	77	7	focused	focused	ADJ
easat-4929	77	8	strategies	strategy	NOUN
easat-4929	77	9	on	on	ADP
easat-4929	77	10	readmissions	readmission	NOUN
easat-4929	77	11	which	which	PRON
easat-4929	77	12	would	would	AUX
easat-4929	77	13	increase	increase	VERB
easat-4929	77	14	patient	patient	ADJ
easat-4929	77	15	benefit	benefit	NOUN
easat-4929	77	16	and	and	CCONJ
easat-4929	77	17	minimize	minimize	VERB
easat-4929	77	18	costs	cost	NOUN
easat-4929	77	19	incurred	incur	VERB
easat-4929	77	20	.	.	PUNCT
easat-4929	78	1	2.2	2.2	NUM
easat-4929	78	2	.	.	PUNCT
easat-4929	78	3	challenges	challenge	NOUN
easat-4929	78	4	in	in	ADP
easat-4929	78	5	diabetes	diabetes	NOUN
easat-4929	78	6	management	management	NOUN
easat-4929	78	7	the	the	DET
easat-4929	78	8	effective	effective	ADJ
easat-4929	78	9	management	management	NOUN
easat-4929	78	10	of	of	ADP
easat-4929	78	11	diabetes	diabetes	NOUN
easat-4929	78	12	during	during	ADP
easat-4929	78	13	hospitalization	hospitalization	NOUN
easat-4929	78	14	is	be	AUX
easat-4929	78	15	essential	essential	ADJ
easat-4929	78	16	to	to	PART
easat-4929	78	17	reduce	reduce	VERB
easat-4929	78	18	the	the	DET
easat-4929	78	19	likelihood	likelihood	NOUN
easat-4929	78	20	of	of	ADP
easat-4929	78	21	repeated	repeat	VERB
easat-4929	78	22	hospitalizations	hospitalization	NOUN
easat-4929	78	23	;	;	PUNCT
easat-4929	78	24	however	however	ADV
easat-4929	78	25	,	,	PUNCT
easat-4929	78	26	this	this	PRON
easat-4929	78	27	is	be	AUX
easat-4929	78	28	a	a	DET
easat-4929	78	29	challenging	challenge	VERB
easat-4929	78	30	endeavour	endeavour	ADJ
easat-4929	78	31	due	due	ADJ
easat-4929	78	32	incomplete	incomplete	ADJ
easat-4929	78	33	glycaemic	glycaemic	ADJ
easat-4929	78	34	control	control	NOUN
easat-4929	78	35	,	,	PUNCT
easat-4929	78	36	insufficient	insufficient	ADJ
easat-4929	78	37	patient	patient	ADJ
easat-4929	78	38	education	education	NOUN
easat-4929	78	39	,	,	PUNCT
easat-4929	78	40	and	and	CCONJ
easat-4929	78	41	the	the	DET
easat-4929	78	42	absence	absence	NOUN
easat-4929	78	43	of	of	ADP
easat-4929	78	44	standardized	standardized	ADJ
easat-4929	78	45	care	care	NOUN
easat-4929	78	46	protocols	protocol	NOUN
easat-4929	78	47	.	.	PUNCT
easat-4929	79	1	additional	additional	ADJ
easat-4929	79	2	nurse	nurse	NOUN
easat-4929	79	3	challenges	challenge	NOUN
easat-4929	79	4	are	be	AUX
easat-4929	79	5	compounded	compound	VERB
easat-4929	79	6	by	by	ADP
easat-4929	79	7	the	the	DET
easat-4929	79	8	underuse	underuse	NOUN
easat-4929	79	9	of	of	ADP
easat-4929	79	10	certified	certified	ADJ
easat-4929	79	11	diabetes	diabetes	NOUN
easat-4929	79	12	educators	educator	NOUN
easat-4929	79	13	(	(	PUNCT
easat-4929	79	14	cde	cde	PROPN
easat-4929	79	15	)	)	PUNCT
easat-4929	79	16	and	and	CCONJ
easat-4929	79	17	the	the	DET
easat-4929	79	18	lack	lack	NOUN
easat-4929	79	19	of	of	ADP
easat-4929	79	20	a	a	DET
easat-4929	79	21	standard	standard	ADJ
easat-4929	79	22	protocol	protocol	NOUN
easat-4929	79	23	between	between	ADP
easat-4929	79	24	hospitals	hospital	NOUN
easat-4929	79	25	for	for	ADP
easat-4929	79	26	blood	blood	NOUN
easat-4929	79	27	glucose	glucose	NOUN
easat-4929	79	28	control	control	NOUN
easat-4929	79	29	,	,	PUNCT
easat-4929	79	30	which	which	PRON
easat-4929	79	31	increases	increase	VERB
easat-4929	79	32	the	the	DET
easat-4929	79	33	likelihood	likelihood	NOUN
easat-4929	79	34	of	of	ADP
easat-4929	79	35	readmissions	readmission	NOUN
easat-4929	79	36	,	,	PUNCT
easat-4929	79	37	as	as	SCONJ
easat-4929	79	38	noted	note	VERB
easat-4929	79	39	in	in	ADP
easat-4929	79	40	the	the	DET
easat-4929	79	41	recent	recent	ADJ
easat-4929	79	42	american	american	ADJ
easat-4929	79	43	nurse	nurse	NOUN
easat-4929	79	44	article	article	NOUN
easat-4929	79	45	[	[	X
easat-4929	79	46	16	16	NUM
easat-4929	79	47	]	]	PUNCT
easat-4929	79	48	.	.	PUNCT
easat-4929	80	1	similarly	similarly	ADV
easat-4929	80	2	,	,	PUNCT
easat-4929	80	3	the	the	DET
easat-4929	80	4	systematic	systematic	ADJ
easat-4929	80	5	review	review	NOUN
easat-4929	80	6	conducted	conduct	VERB
easat-4929	80	7	in	in	ADP
easat-4929	80	8	soh	soh	PROPN
easat-4929	80	9	,	,	PUNCT
easat-4929	80	10	et	et	PROPN
easat-4929	80	11	al	al	PROPN
easat-4929	80	12	.	.	PUNCT
easat-4929	81	1	[	[	X
easat-4929	81	2	17	17	NUM
easat-4929	81	3	]	]	PUNCT
easat-4929	81	4	highlights	highlight	VERB
easat-4929	81	5	the	the	DET
easat-4929	81	6	challenges	challenge	NOUN
easat-4929	81	7	associated	associate	VERB
easat-4929	81	8	with	with	ADP
easat-4929	81	9	chronic	chronic	ADJ
easat-4929	81	10	diseases	disease	NOUN
easat-4929	81	11	and	and	CCONJ
easat-4929	81	12	diabetes	diabetes	NOUN
easat-4929	81	13	which	which	PRON
easat-4929	81	14	increase	increase	VERB
easat-4929	81	15	the	the	DET
easat-4929	81	16	rate	rate	NOUN
easat-4929	81	17	of	of	ADP
easat-4929	81	18	readmission	readmission	NOUN
easat-4929	81	19	along	along	ADP
easat-4929	81	20	with	with	ADP
easat-4929	81	21	socioeconomic	socioeconomic	ADJ
easat-4929	81	22	challenges	challenge	NOUN
easat-4929	81	23	.	.	PUNCT
easat-4929	82	1	resolving	resolve	VERB
easat-4929	82	2	these	these	DET
easat-4929	82	3	concerns	concern	NOUN
easat-4929	82	4	requires	require	VERB
easat-4929	82	5	multidisciplinary	multidisciplinary	ADJ
easat-4929	82	6	intervention	intervention	NOUN
easat-4929	82	7	involving	involve	VERB
easat-4929	82	8	proper	proper	ADJ
easat-4929	82	9	education	education	NOUN
easat-4929	82	10	of	of	ADP
easat-4929	82	11	the	the	DET
easat-4929	82	12	patients	patient	NOUN
easat-4929	82	13	,	,	PUNCT
easat-4929	82	14	effective	effective	ADJ
easat-4929	82	15	discharge	discharge	NOUN
easat-4929	82	16	planning	planning	NOUN
easat-4929	82	17	,	,	PUNCT
easat-4929	82	18	and	and	CCONJ
easat-4929	82	19	collaboration	collaboration	NOUN
easat-4929	82	20	of	of	ADP
easat-4929	82	21	multidisciplinary	multidisciplinary	ADJ
easat-4929	82	22	teams	team	NOUN
easat-4929	82	23	of	of	ADP
easat-4929	82	24	healthcare	healthcare	NOUN
easat-4929	82	25	personnel	personnel	NOUN
easat-4929	82	26	to	to	PART
easat-4929	82	27	improve	improve	VERB
easat-4929	82	28	patient	patient	ADJ
easat-4929	82	29	outcomes	outcome	NOUN
easat-4929	82	30	and	and	CCONJ
easat-4929	82	31	reduce	reduce	VERB
easat-4929	82	32	hospital	hospital	NOUN
easat-4929	82	33	readmissions	readmission	NOUN
easat-4929	82	34	.	.	PUNCT
easat-4929	83	1	1806	1806	NUM
easat-4929	83	2	edelweiss	edelweiss	PROPN
easat-4929	83	3	applied	apply	VERB
easat-4929	83	4	science	science	NOUN
easat-4929	83	5	and	and	CCONJ
easat-4929	83	6	technology	technology	NOUN
easat-4929	83	7	issn	issn	PROPN
easat-4929	83	8	:	:	PUNCT
easat-4929	83	9	2576	2576	NUM
easat-4929	83	10	-	-	SYM
easat-4929	83	11	8484	8484	NUM
easat-4929	83	12	vol	vol	NOUN
easat-4929	83	13	.	.	PROPN
easat-4929	84	1	9	9	NUM
easat-4929	84	2	,	,	PUNCT
easat-4929	84	3	no	no	INTJ
easat-4929	84	4	.	.	NOUN
easat-4929	84	5	2	2	NUM
easat-4929	84	6	:	:	SYM
easat-4929	84	7	1803	1803	NUM
easat-4929	84	8	-	-	SYM
easat-4929	84	9	1829	1829	NUM
easat-4929	84	10	,	,	PUNCT
easat-4929	84	11	2025	2025	NUM
easat-4929	84	12	doi	doi	NOUN
easat-4929	84	13	:	:	PUNCT
easat-4929	84	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	84	15	©	©	PROPN
easat-4929	84	16	2025	2025	NUM
easat-4929	84	17	by	by	ADP
easat-4929	84	18	the	the	DET
easat-4929	84	19	authors	author	NOUN
easat-4929	84	20	;	;	PUNCT
easat-4929	84	21	licensee	licensee	PROPN
easat-4929	84	22	learning	learning	NOUN
easat-4929	84	23	gate	gate	NOUN
easat-4929	84	24	2.3	2.3	NUM
easat-4929	84	25	.	.	PUNCT
easat-4929	85	1	machine	machine	NOUN
easat-4929	85	2	learning	learning	NOUN
easat-4929	85	3	in	in	ADP
easat-4929	85	4	predicting	predict	VERB
easat-4929	85	5	hospital	hospital	NOUN
easat-4929	85	6	readmissions	readmission	NOUN
easat-4929	85	7	with	with	ADP
easat-4929	85	8	advancements	advancement	NOUN
easat-4929	85	9	in	in	ADP
easat-4929	85	10	technology	technology	NOUN
easat-4929	85	11	and	and	CCONJ
easat-4929	85	12	computing	computing	NOUN
easat-4929	85	13	,	,	PUNCT
easat-4929	85	14	ml	ml	ADP
easat-4929	85	15	models	model	NOUN
easat-4929	85	16	have	have	AUX
easat-4929	85	17	become	become	VERB
easat-4929	85	18	a	a	DET
easat-4929	85	19	powerful	powerful	ADJ
easat-4929	85	20	quantitative	quantitative	ADJ
easat-4929	85	21	approach	approach	NOUN
easat-4929	85	22	for	for	ADP
easat-4929	85	23	making	make	VERB
easat-4929	85	24	predictions	prediction	NOUN
easat-4929	85	25	,	,	PUNCT
easat-4929	85	26	offering	offer	VERB
easat-4929	85	27	significant	significant	ADJ
easat-4929	85	28	benefits	benefit	NOUN
easat-4929	85	29	in	in	ADP
easat-4929	85	30	pattern	pattern	NOUN
easat-4929	85	31	recognition	recognition	NOUN
easat-4929	85	32	and	and	CCONJ
easat-4929	85	33	outcome	outcome	NOUN
easat-4929	85	34	prediction	prediction	NOUN
easat-4929	85	35	.	.	PUNCT
easat-4929	86	1	these	these	DET
easat-4929	86	2	models	model	NOUN
easat-4929	86	3	have	have	AUX
easat-4929	86	4	become	become	VERB
easat-4929	86	5	popular	popular	ADJ
easat-4929	86	6	in	in	ADP
easat-4929	86	7	healthcare	healthcare	PROPN
easat-4929	86	8	,	,	PUNCT
easat-4929	86	9	specifically	specifically	ADV
easat-4929	86	10	in	in	ADP
easat-4929	86	11	predicting	predict	VERB
easat-4929	86	12	readmissions	readmission	NOUN
easat-4929	86	13	in	in	ADP
easat-4929	86	14	hospitals	hospital	NOUN
easat-4929	86	15	for	for	ADP
easat-4929	86	16	conditions	condition	NOUN
easat-4929	86	17	such	such	ADJ
easat-4929	86	18	as	as	ADP
easat-4929	86	19	diabetes	diabete	NOUN
easat-4929	86	20	.	.	PUNCT
easat-4929	87	1	in	in	ADP
easat-4929	87	2	this	this	DET
easat-4929	87	3	context	context	NOUN
easat-4929	87	4	,	,	PUNCT
easat-4929	87	5	an	an	DET
easat-4929	87	6	attempt	attempt	NOUN
easat-4929	87	7	was	be	AUX
easat-4929	87	8	made	make	VERB
easat-4929	87	9	to	to	PART
easat-4929	87	10	study	study	VERB
easat-4929	87	11	logistic	logistic	ADJ
easat-4929	87	12	regression	regression	NOUN
easat-4929	87	13	(	(	PUNCT
easat-4929	87	14	lr	lr	NOUN
easat-4929	87	15	)	)	PUNCT
easat-4929	87	16	,	,	PUNCT
easat-4929	87	17	artificial	artificial	ADJ
easat-4929	87	18	neural	neural	ADJ
easat-4929	87	19	network	network	NOUN
easat-4929	87	20	(	(	PUNCT
easat-4929	87	21	ann	ann	PROPN
easat-4929	87	22	)	)	PUNCT
easat-4929	87	23	,	,	PUNCT
easat-4929	87	24	and	and	CCONJ
easat-4929	87	25	easy	easy	ADV
easat-4929	87	26	ensemble	ensemble	ADJ
easat-4929	87	27	(	(	PUNCT
easat-4929	87	28	ee	ee	NOUN
easat-4929	87	29	)	)	PUNCT
easat-4929	87	30	techniques	technique	NOUN
easat-4929	87	31	for	for	ADP
easat-4929	87	32	predicting	predict	VERB
easat-4929	87	33	30	30	NUM
easat-4929	87	34	-	-	PUNCT
easat-4929	87	35	day	day	NOUN
easat-4929	87	36	readmissions	readmission	NOUN
easat-4929	87	37	for	for	ADP
easat-4929	87	38	diabetes	diabetes	NOUN
easat-4929	87	39	patients	patient	NOUN
easat-4929	87	40	.	.	PUNCT
easat-4929	88	1	the	the	DET
easat-4929	88	2	results	result	NOUN
easat-4929	88	3	of	of	ADP
easat-4929	88	4	these	these	DET
easat-4929	88	5	studies	study	NOUN
easat-4929	88	6	revealed	reveal	VERB
easat-4929	88	7	that	that	SCONJ
easat-4929	88	8	while	while	SCONJ
easat-4929	88	9	ann	ann	PROPN
easat-4929	88	10	can	can	AUX
easat-4929	88	11	model	model	VERB
easat-4929	88	12	non	non	ADJ
easat-4929	88	13	-	-	ADJ
easat-4929	88	14	linear	linear	ADJ
easat-4929	88	15	patterns	pattern	NOUN
easat-4929	88	16	and	and	CCONJ
easat-4929	88	17	relationships	relationship	NOUN
easat-4929	88	18	which	which	PRON
easat-4929	88	19	are	be	AUX
easat-4929	88	20	complex	complex	ADJ
easat-4929	88	21	in	in	ADP
easat-4929	88	22	the	the	DET
easat-4929	88	23	data	datum	NOUN
easat-4929	88	24	,	,	PUNCT
easat-4929	88	25	it	it	PRON
easat-4929	88	26	did	do	AUX
easat-4929	88	27	not	not	PART
easat-4929	88	28	consistently	consistently	ADV
easat-4929	88	29	outperform	outperform	VERB
easat-4929	88	30	lr	lr	NOUN
easat-4929	88	31	and	and	CCONJ
easat-4929	88	32	ee	ee	INTJ
easat-4929	88	33	,	,	PUNCT
easat-4929	88	34	particularly	particularly	ADV
easat-4929	88	35	in	in	ADP
easat-4929	88	36	imbalanced	imbalanced	ADJ
easat-4929	88	37	datasets	dataset	NOUN
easat-4929	88	38	.	.	PUNCT
easat-4929	89	1	the	the	DET
easat-4929	89	2	ann	ann	PROPN
easat-4929	89	3	model	model	NOUN
easat-4929	89	4	was	be	AUX
easat-4929	89	5	more	more	ADV
easat-4929	89	6	prone	prone	ADJ
easat-4929	89	7	to	to	ADP
easat-4929	89	8	overfitting	overfitte	VERB
easat-4929	89	9	,	,	PUNCT
easat-4929	89	10	highlighting	highlight	VERB
easat-4929	89	11	the	the	DET
easat-4929	89	12	need	need	NOUN
easat-4929	89	13	for	for	ADP
easat-4929	89	14	careful	careful	ADJ
easat-4929	89	15	model	model	NOUN
easat-4929	89	16	tuning	tuning	NOUN
easat-4929	89	17	and	and	CCONJ
easat-4929	89	18	selection	selection	NOUN
easat-4929	89	19	of	of	ADP
easat-4929	89	20	appropriate	appropriate	ADJ
easat-4929	89	21	features	feature	NOUN
easat-4929	89	22	to	to	PART
easat-4929	89	23	ensure	ensure	VERB
easat-4929	89	24	generalizability	generalizability	NOUN
easat-4929	89	25	[	[	X
easat-4929	89	26	18	18	NUM
easat-4929	89	27	]	]	PUNCT
easat-4929	89	28	.	.	PUNCT
easat-4929	90	1	in	in	ADP
easat-4929	90	2	another	another	DET
easat-4929	90	3	study	study	NOUN
easat-4929	90	4	,	,	PUNCT
easat-4929	90	5	a	a	DET
easat-4929	90	6	few	few	ADJ
easat-4929	90	7	ml	ml	NOUN
easat-4929	90	8	classifiers	classifier	NOUN
easat-4929	90	9	,	,	PUNCT
easat-4929	90	10	such	such	ADJ
easat-4929	90	11	as	as	ADP
easat-4929	90	12	naive	naive	ADJ
easat-4929	90	13	bayes	bayes	NOUN
easat-4929	90	14	,	,	PUNCT
easat-4929	90	15	bayesian	bayesian	NOUN
easat-4929	90	16	networks	network	NOUN
easat-4929	90	17	,	,	PUNCT
easat-4929	90	18	random	random	ADJ
easat-4929	90	19	forest	forest	NOUN
easat-4929	90	20	,	,	PUNCT
easat-4929	90	21	adaboost	adaboost	ADV
easat-4929	90	22	,	,	PUNCT
easat-4929	90	23	and	and	CCONJ
easat-4929	90	24	neural	neural	ADJ
easat-4929	90	25	networks	network	NOUN
easat-4929	90	26	,	,	PUNCT
easat-4929	90	27	were	be	AUX
easat-4929	90	28	evaluated	evaluate	VERB
easat-4929	90	29	to	to	PART
easat-4929	90	30	predict	predict	VERB
easat-4929	90	31	high	high	ADJ
easat-4929	90	32	readmission	readmission	NOUN
easat-4929	90	33	risk	risk	NOUN
easat-4929	90	34	in	in	ADP
easat-4929	90	35	diabetic	diabetic	ADJ
easat-4929	90	36	patients	patient	NOUN
easat-4929	90	37	.	.	PUNCT
easat-4929	91	1	random	random	ADJ
easat-4929	91	2	forest	forest	NOUN
easat-4929	91	3	and	and	CCONJ
easat-4929	91	4	adaboost	adaboost	ADJ
easat-4929	91	5	models	model	NOUN
easat-4929	91	6	outperformed	outperform	VERB
easat-4929	91	7	the	the	DET
easat-4929	91	8	others	other	NOUN
easat-4929	91	9	,	,	PUNCT
easat-4929	91	10	highlighting	highlight	VERB
easat-4929	91	11	the	the	DET
easat-4929	91	12	importance	importance	NOUN
easat-4929	91	13	of	of	ADP
easat-4929	91	14	using	use	VERB
easat-4929	91	15	features	feature	NOUN
easat-4929	91	16	like	like	ADP
easat-4929	91	17	inpatient	inpatient	NOUN
easat-4929	91	18	visits	visit	NOUN
easat-4929	91	19	and	and	CCONJ
easat-4929	91	20	discharge	discharge	VERB
easat-4929	91	21	disposition	disposition	NOUN
easat-4929	91	22	.	.	PUNCT
easat-4929	92	1	despite	despite	SCONJ
easat-4929	92	2	these	these	DET
easat-4929	92	3	successes	success	NOUN
easat-4929	92	4	,	,	PUNCT
easat-4929	92	5	there	there	PRON
easat-4929	92	6	were	be	VERB
easat-4929	92	7	issues	issue	NOUN
easat-4929	92	8	with	with	ADP
easat-4929	92	9	data	datum	NOUN
easat-4929	92	10	imbalance	imbalance	NOUN
easat-4929	92	11	,	,	PUNCT
easat-4929	92	12	suggesting	suggest	VERB
easat-4929	92	13	that	that	SCONJ
easat-4929	92	14	improving	improve	VERB
easat-4929	92	15	feature	feature	NOUN
easat-4929	92	16	selection	selection	NOUN
easat-4929	92	17	and	and	CCONJ
easat-4929	92	18	combining	combine	VERB
easat-4929	92	19	classifiers	classifier	NOUN
easat-4929	92	20	might	might	AUX
easat-4929	92	21	enhance	enhance	VERB
easat-4929	92	22	model	model	NOUN
easat-4929	92	23	performance	performance	NOUN
easat-4929	92	24	[	[	X
easat-4929	92	25	19	19	NUM
easat-4929	92	26	]	]	PUNCT
easat-4929	92	27	.	.	PUNCT
easat-4929	93	1	similarly	similarly	ADV
easat-4929	93	2	,	,	PUNCT
easat-4929	93	3	a	a	DET
easat-4929	93	4	study	study	NOUN
easat-4929	93	5	used	use	VERB
easat-4929	93	6	random	random	ADJ
easat-4929	93	7	forest	forest	NOUN
easat-4929	93	8	models	model	NOUN
easat-4929	93	9	to	to	PART
easat-4929	93	10	predict	predict	VERB
easat-4929	93	11	30	30	NUM
easat-4929	93	12	-	-	PUNCT
easat-4929	93	13	day	day	NOUN
easat-4929	93	14	readmission	readmission	NOUN
easat-4929	93	15	rates	rate	NOUN
easat-4929	93	16	in	in	ADP
easat-4929	93	17	diabetic	diabetic	ADJ
easat-4929	93	18	patients	patient	NOUN
easat-4929	93	19	[	[	X
easat-4929	93	20	20	20	NUM
easat-4929	93	21	]	]	PUNCT
easat-4929	93	22	.	.	PUNCT
easat-4929	94	1	random	random	ADJ
easat-4929	94	2	forest	forest	NOUN
easat-4929	94	3	outperformed	outperform	VERB
easat-4929	94	4	the	the	DET
easat-4929	94	5	other	other	ADJ
easat-4929	94	6	models	model	NOUN
easat-4929	94	7	,	,	PUNCT
easat-4929	94	8	including	include	VERB
easat-4929	94	9	naive	naive	ADJ
easat-4929	94	10	bayes	baye	NOUN
easat-4929	94	11	and	and	CCONJ
easat-4929	94	12	tree	tree	NOUN
easat-4929	94	13	ensemble	ensemble	ADJ
easat-4929	94	14	,	,	PUNCT
easat-4929	94	15	having	have	VERB
easat-4929	94	16	the	the	DET
easat-4929	94	17	highest	high	ADJ
easat-4929	94	18	auc	auc	NOUN
easat-4929	94	19	.	.	PUNCT
easat-4929	95	1	according	accord	VERB
easat-4929	95	2	to	to	ADP
easat-4929	95	3	the	the	DET
easat-4929	95	4	study	study	NOUN
easat-4929	95	5	,	,	PUNCT
easat-4929	95	6	the	the	DET
easat-4929	95	7	key	key	NOUN
easat-4929	95	8	to	to	ADP
easat-4929	95	9	random	random	ADJ
easat-4929	95	10	forest	forest	NOUN
easat-4929	95	11	's	's	PART
easat-4929	95	12	effectiveness	effectiveness	NOUN
easat-4929	95	13	is	be	AUX
easat-4929	95	14	its	its	PRON
easat-4929	95	15	capacity	capacity	NOUN
easat-4929	95	16	to	to	PART
easat-4929	95	17	handle	handle	VERB
easat-4929	95	18	a	a	DET
easat-4929	95	19	large	large	ADJ
easat-4929	95	20	number	number	NOUN
easat-4929	95	21	of	of	ADP
easat-4929	95	22	variables	variable	NOUN
easat-4929	95	23	without	without	ADP
easat-4929	95	24	overfitting	overfitte	VERB
easat-4929	95	25	.	.	PUNCT
easat-4929	96	1	however	however	ADV
easat-4929	96	2	,	,	PUNCT
easat-4929	96	3	like	like	ADP
easat-4929	96	4	with	with	ADP
easat-4929	96	5	the	the	DET
easat-4929	96	6	previous	previous	ADJ
easat-4929	96	7	study	study	NOUN
easat-4929	96	8	,	,	PUNCT
easat-4929	96	9	it	it	PRON
easat-4929	96	10	recognized	recognize	VERB
easat-4929	96	11	limitations	limitation	NOUN
easat-4929	96	12	such	such	ADJ
easat-4929	96	13	as	as	ADP
easat-4929	96	14	the	the	DET
easat-4929	96	15	need	need	NOUN
easat-4929	96	16	for	for	ADP
easat-4929	96	17	more	more	ADV
easat-4929	96	18	thorough	thorough	ADJ
easat-4929	96	19	clinical	clinical	ADJ
easat-4929	96	20	variables	variable	NOUN
easat-4929	96	21	and	and	CCONJ
easat-4929	96	22	the	the	DET
easat-4929	96	23	issue	issue	NOUN
easat-4929	96	24	of	of	ADP
easat-4929	96	25	data	datum	NOUN
easat-4929	96	26	imbalance	imbalance	NOUN
easat-4929	96	27	,	,	PUNCT
easat-4929	96	28	which	which	PRON
easat-4929	96	29	could	could	AUX
easat-4929	96	30	bias	bias	VERB
easat-4929	96	31	predictions	prediction	NOUN
easat-4929	96	32	towards	towards	ADP
easat-4929	96	33	non	non	NOUN
easat-4929	96	34	-	-	NOUN
easat-4929	96	35	readmission	readmission	NOUN
easat-4929	96	36	.	.	PUNCT
easat-4929	97	1	3	3	X
easat-4929	97	2	.	.	X
easat-4929	97	3	methodology	methodology	NOUN
easat-4929	97	4	the	the	DET
easat-4929	97	5	methodology	methodology	NOUN
easat-4929	97	6	used	use	VERB
easat-4929	97	7	in	in	ADP
easat-4929	97	8	this	this	DET
easat-4929	97	9	paper	paper	NOUN
easat-4929	97	10	includes	include	VERB
easat-4929	97	11	data	datum	NOUN
easat-4929	97	12	analysis	analysis	NOUN
easat-4929	97	13	and	and	CCONJ
easat-4929	97	14	preprocessing	preprocessing	NOUN
easat-4929	97	15	,	,	PUNCT
easat-4929	97	16	feature	feature	NOUN
easat-4929	97	17	engineering	engineering	NOUN
easat-4929	97	18	,	,	PUNCT
easat-4929	97	19	model	model	NOUN
easat-4929	97	20	development	development	NOUN
easat-4929	97	21	,	,	PUNCT
easat-4929	97	22	model	model	NOUN
easat-4929	97	23	application	application	NOUN
easat-4929	97	24	,	,	PUNCT
easat-4929	97	25	metrics	metric	NOUN
easat-4929	97	26	,	,	PUNCT
easat-4929	97	27	comparisons	comparison	NOUN
easat-4929	97	28	,	,	PUNCT
easat-4929	97	29	and	and	CCONJ
easat-4929	97	30	results	result	VERB
easat-4929	97	31	analysis	analysis	NOUN
easat-4929	97	32	.	.	PUNCT
easat-4929	98	1	3.1	3.1	NUM
easat-4929	98	2	.	.	PUNCT
easat-4929	98	3	data	datum	NOUN
easat-4929	98	4	pre	pre	ADJ
easat-4929	98	5	-	-	ADJ
easat-4929	98	6	processing	process	VERB
easat-4929	98	7	this	this	DET
easat-4929	98	8	study	study	NOUN
easat-4929	98	9	utilized	utilize	VERB
easat-4929	98	10	“	"	PUNCT
easat-4929	98	11	diabetes	diabetes	NOUN
easat-4929	98	12	130	130	NUM
easat-4929	98	13	-	-	PUNCT
easat-4929	98	14	us	we	PRON
easat-4929	98	15	hospitals	hospital	NOUN
easat-4929	98	16	for	for	ADP
easat-4929	98	17	years	year	NOUN
easat-4929	98	18	1999	1999	NUM
easat-4929	98	19	-	-	SYM
easat-4929	98	20	2008	2008	NUM
easat-4929	98	21	”	"	PUNCT
easat-4929	98	22	dataset	dataset	NOUN
easat-4929	98	23	which	which	PRON
easat-4929	98	24	is	be	AUX
easat-4929	98	25	publicly	publicly	ADV
easat-4929	98	26	acquired	acquire	VERB
easat-4929	98	27	from	from	ADP
easat-4929	98	28	the	the	DET
easat-4929	98	29	ci	ci	PROPN
easat-4929	98	30	machine	machine	NOUN
easat-4929	98	31	learning	learn	VERB
easat-4929	98	32	repository	repository	NOUN
easat-4929	98	33	.	.	PUNCT
easat-4929	99	1	this	this	DET
easat-4929	99	2	dataset	dataset	NOUN
easat-4929	99	3	contains	contain	VERB
easat-4929	99	4	clinical	clinical	ADJ
easat-4929	99	5	records	record	NOUN
easat-4929	99	6	from	from	ADP
easat-4929	99	7	130	130	NUM
easat-4929	99	8	us	us	PROPN
easat-4929	99	9	hospitals	hospital	NOUN
easat-4929	99	10	over	over	ADP
easat-4929	99	11	a	a	DET
easat-4929	99	12	span	span	NOUN
easat-4929	99	13	of	of	ADP
easat-4929	99	14	ten	ten	NUM
easat-4929	99	15	years	year	NOUN
easat-4929	99	16	(	(	PUNCT
easat-4929	99	17	1999	1999	NUM
easat-4929	99	18	-	-	SYM
easat-4929	99	19	2008	2008	NUM
easat-4929	99	20	)	)	PUNCT
easat-4929	99	21	.	.	PUNCT
easat-4929	100	1	the	the	DET
easat-4929	100	2	dataset	dataset	NOUN
easat-4929	100	3	contains	contain	VERB
easat-4929	100	4	101,766	101,766	NUM
easat-4929	100	5	records	record	NOUN
easat-4929	100	6	with	with	ADP
easat-4929	100	7	50	50	NUM
easat-4929	100	8	features	feature	NOUN
easat-4929	100	9	related	relate	VERB
easat-4929	100	10	to	to	ADP
easat-4929	100	11	patient	patient	ADJ
easat-4929	100	12	demographics	demographic	NOUN
easat-4929	100	13	,	,	PUNCT
easat-4929	100	14	hospital	hospital	NOUN
easat-4929	100	15	details	detail	NOUN
easat-4929	100	16	,	,	PUNCT
easat-4929	100	17	and	and	CCONJ
easat-4929	100	18	medical	medical	ADJ
easat-4929	100	19	outcomes	outcome	NOUN
easat-4929	100	20	,	,	PUNCT
easat-4929	100	21	such	such	ADJ
easat-4929	100	22	as	as	ADP
easat-4929	100	23	admission	admission	NOUN
easat-4929	100	24	details	detail	NOUN
easat-4929	100	25	,	,	PUNCT
easat-4929	100	26	lab	lab	NOUN
easat-4929	100	27	results	result	NOUN
easat-4929	100	28	,	,	PUNCT
easat-4929	100	29	and	and	CCONJ
easat-4929	100	30	treatments	treatment	NOUN
easat-4929	100	31	received	receive	VERB
easat-4929	100	32	.	.	PUNCT
easat-4929	101	1	despite	despite	SCONJ
easat-4929	101	2	some	some	DET
easat-4929	101	3	missing	missing	ADJ
easat-4929	101	4	values	value	NOUN
easat-4929	101	5	,	,	PUNCT
easat-4929	101	6	it	it	PRON
easat-4929	101	7	can	can	AUX
easat-4929	101	8	be	be	AUX
easat-4929	101	9	considered	consider	VERB
easat-4929	101	10	a	a	DET
easat-4929	101	11	reliable	reliable	ADJ
easat-4929	101	12	source	source	NOUN
easat-4929	101	13	for	for	ADP
easat-4929	101	14	predictive	predictive	ADJ
easat-4929	101	15	modelling	modelling	NOUN
easat-4929	101	16	.	.	PUNCT
easat-4929	102	1	key	key	ADJ
easat-4929	102	2	features	feature	NOUN
easat-4929	102	3	and	and	CCONJ
easat-4929	102	4	i	i	NOUN
easat-4929	102	5	d	d	PROPN
easat-4929	102	6	mappings	mapping	NOUN
easat-4929	102	7	are	be	AUX
easat-4929	102	8	very	very	ADV
easat-4929	102	9	important	important	ADJ
easat-4929	102	10	in	in	ADP
easat-4929	102	11	structuring	structure	VERB
easat-4929	102	12	data	datum	NOUN
easat-4929	102	13	sets	set	NOUN
easat-4929	102	14	,	,	PUNCT
easat-4929	102	15	ensuring	ensure	VERB
easat-4929	102	16	data	datum	NOUN
easat-4929	102	17	consistency	consistency	NOUN
easat-4929	102	18	and	and	CCONJ
easat-4929	102	19	efficient	efficient	ADJ
easat-4929	102	20	retrieval	retrieval	NOUN
easat-4929	102	21	.	.	PUNCT
easat-4929	103	1	some	some	DET
easat-4929	103	2	key	key	ADJ
easat-4929	103	3	attributes	attribute	NOUN
easat-4929	103	4	include	include	VERB
easat-4929	103	5	patient	patient	ADJ
easat-4929	103	6	number	number	NOUN
easat-4929	103	7	,	,	PUNCT
easat-4929	103	8	race	race	NOUN
easat-4929	103	9	,	,	PUNCT
easat-4929	103	10	gender	gender	NOUN
easat-4929	103	11	,	,	PUNCT
easat-4929	103	12	age	age	NOUN
easat-4929	103	13	,	,	PUNCT
easat-4929	103	14	admission	admission	NOUN
easat-4929	103	15	type	type	NOUN
easat-4929	103	16	,	,	PUNCT
easat-4929	103	17	time	time	NOUN
easat-4929	103	18	spent	spend	VERB
easat-4929	103	19	in	in	ADP
easat-4929	103	20	the	the	DET
easat-4929	103	21	hospital	hospital	NOUN
easat-4929	103	22	,	,	PUNCT
easat-4929	103	23	medical	medical	ADJ
easat-4929	103	24	specialty	specialty	NOUN
easat-4929	103	25	of	of	ADP
easat-4929	103	26	the	the	DET
easat-4929	103	27	admitting	admit	VERB
easat-4929	103	28	physician	physician	NOUN
easat-4929	103	29	,	,	PUNCT
easat-4929	103	30	number	number	NOUN
easat-4929	103	31	of	of	ADP
easat-4929	103	32	lab	lab	NOUN
easat-4929	103	33	tests	test	NOUN
easat-4929	103	34	performed	perform	VERB
easat-4929	103	35	,	,	PUNCT
easat-4929	103	36	hba1c	hba1c	PRON
easat-4929	103	37	test	test	NOUN
easat-4929	103	38	results	result	NOUN
easat-4929	103	39	,	,	PUNCT
easat-4929	103	40	primary	primary	ADJ
easat-4929	103	41	and	and	CCONJ
easat-4929	103	42	secondary	secondary	ADJ
easat-4929	103	43	diagnoses	diagnosis	NOUN
easat-4929	103	44	,	,	PUNCT
easat-4929	103	45	number	number	NOUN
easat-4929	103	46	of	of	ADP
easat-4929	103	47	medications	medication	NOUN
easat-4929	103	48	,	,	PUNCT
easat-4929	103	49	use	use	NOUN
easat-4929	103	50	of	of	ADP
easat-4929	103	51	diabetic	diabetic	ADJ
easat-4929	103	52	medications	medication	NOUN
easat-4929	103	53	,	,	PUNCT
easat-4929	103	54	and	and	CCONJ
easat-4929	103	55	the	the	DET
easat-4929	103	56	number	number	NOUN
easat-4929	103	57	of	of	ADP
easat-4929	103	58	outpatient	outpatient	NOUN
easat-4929	103	59	,	,	PUNCT
easat-4929	103	60	inpatient	inpatient	NOUN
easat-4929	103	61	,	,	PUNCT
easat-4929	103	62	and	and	CCONJ
easat-4929	103	63	emergency	emergency	NOUN
easat-4929	103	64	visits	visit	NOUN
easat-4929	103	65	in	in	ADP
easat-4929	103	66	the	the	DET
easat-4929	103	67	year	year	NOUN
easat-4929	103	68	preceding	precede	VERB
easat-4929	103	69	the	the	DET
easat-4929	103	70	hospitalization	hospitalization	NOUN
easat-4929	103	71	.	.	PUNCT
easat-4929	104	1	aside	aside	ADV
easat-4929	104	2	from	from	ADP
easat-4929	104	3	the	the	DET
easat-4929	104	4	main	main	ADJ
easat-4929	104	5	dataset	dataset	NOUN
easat-4929	104	6	,	,	PUNCT
easat-4929	104	7	there	there	PRON
easat-4929	104	8	is	be	VERB
easat-4929	104	9	a	a	DET
easat-4929	104	10	distinct	distinct	ADJ
easat-4929	104	11	file	file	NOUN
easat-4929	104	12	that	that	PRON
easat-4929	104	13	includes	include	VERB
easat-4929	104	14	i	i	PROPN
easat-4929	104	15	d	d	PROPN
easat-4929	104	16	mappings	mapping	NOUN
easat-4929	104	17	for	for	ADP
easat-4929	104	18	categorical	categorical	ADJ
easat-4929	104	19	features	feature	NOUN
easat-4929	104	20	,	,	PUNCT
easat-4929	104	21	such	such	ADJ
easat-4929	104	22	as	as	ADP
easat-4929	104	23	admission_type_id	admission_type_id	PROPN
easat-4929	104	24	,	,	PUNCT
easat-4929	104	25	discharge_disposition_id	discharge_disposition_id	PROPN
easat-4929	104	26	,	,	PUNCT
easat-4929	104	27	and	and	CCONJ
easat-4929	104	28	admission_source_id	admission_source_id	PROPN
easat-4929	104	29	.	.	PUNCT
easat-4929	105	1	these	these	DET
easat-4929	105	2	mappings	mapping	NOUN
easat-4929	105	3	are	be	AUX
easat-4929	105	4	useful	useful	ADJ
easat-4929	105	5	for	for	ADP
easat-4929	105	6	interpreting	interpret	VERB
easat-4929	105	7	the	the	DET
easat-4929	105	8	categorical	categorical	ADJ
easat-4929	105	9	data	datum	NOUN
easat-4929	105	10	in	in	ADP
easat-4929	105	11	the	the	DET
easat-4929	105	12	main	main	ADJ
easat-4929	105	13	dataset	dataset	NOUN
easat-4929	105	14	and	and	CCONJ
easat-4929	105	15	defining	define	VERB
easat-4929	105	16	specific	specific	ADJ
easat-4929	105	17	types	type	NOUN
easat-4929	105	18	of	of	ADP
easat-4929	105	19	admissions	admission	NOUN
easat-4929	105	20	,	,	PUNCT
easat-4929	105	21	discharge	discharge	NOUN
easat-4929	105	22	dispositions	disposition	NOUN
easat-4929	105	23	,	,	PUNCT
easat-4929	105	24	and	and	CCONJ
easat-4929	105	25	admission	admission	NOUN
easat-4929	105	26	sources	source	NOUN
easat-4929	105	27	.	.	PUNCT
easat-4929	106	1	we	we	PRON
easat-4929	106	2	applied	apply	VERB
easat-4929	106	3	ydata	ydata	NOUN
easat-4929	106	4	profiling	profiling	NOUN
easat-4929	106	5	report	report	NOUN
easat-4929	106	6	for	for	ADP
easat-4929	106	7	data	datum	NOUN
easat-4929	106	8	profiling	profiling	NOUN
easat-4929	106	9	,	,	PUNCT
easat-4929	106	10	describing	describe	VERB
easat-4929	106	11	types	type	NOUN
easat-4929	106	12	,	,	PUNCT
easat-4929	106	13	distributions	distribution	NOUN
easat-4929	106	14	,	,	PUNCT
easat-4929	106	15	missing	miss	VERB
easat-4929	106	16	values	value	NOUN
easat-4929	106	17	,	,	PUNCT
easat-4929	106	18	and	and	CCONJ
easat-4929	106	19	correlations	correlation	NOUN
easat-4929	106	20	.	.	PUNCT
easat-4929	107	1	the	the	DET
easat-4929	107	2	overview	overview	NOUN
easat-4929	107	3	part	part	NOUN
easat-4929	107	4	of	of	ADP
easat-4929	107	5	the	the	DET
easat-4929	107	6	report	report	NOUN
easat-4929	107	7	shows	show	VERB
easat-4929	107	8	basic	basic	ADJ
easat-4929	107	9	information	information	NOUN
easat-4929	107	10	such	such	ADJ
easat-4929	107	11	as	as	ADP
easat-4929	107	12	the	the	DET
easat-4929	107	13	number	number	NOUN
easat-4929	107	14	of	of	ADP
easat-4929	107	15	variables	variable	NOUN
easat-4929	107	16	,	,	PUNCT
easat-4929	107	17	the	the	DET
easat-4929	107	18	number	number	NOUN
easat-4929	107	19	of	of	ADP
easat-4929	107	20	observations	observation	NOUN
easat-4929	107	21	,	,	PUNCT
easat-4929	107	22	etc	etc	X
easat-4929	107	23	.	.	X
easat-4929	108	1	the	the	DET
easat-4929	108	2	methodology	methodology	NOUN
easat-4929	108	3	also	also	ADV
easat-4929	108	4	allows	allow	VERB
easat-4929	108	5	the	the	DET
easat-4929	108	6	identification	identification	NOUN
easat-4929	108	7	the	the	DET
easat-4929	108	8	data	data	NOUN
easat-4929	108	9	areas	area	NOUN
easat-4929	108	10	that	that	PRON
easat-4929	108	11	require	require	VERB
easat-4929	108	12	focused	focused	ADJ
easat-4929	108	13	attention	attention	NOUN
easat-4929	108	14	for	for	ADP
easat-4929	108	15	data	datum	NOUN
easat-4929	108	16	cleaning	clean	VERB
easat-4929	108	17	purposes	purpose	NOUN
easat-4929	108	18	.	.	PUNCT
easat-4929	109	1	1807	1807	NUM
easat-4929	109	2	edelweiss	edelweiss	PROPN
easat-4929	109	3	applied	apply	VERB
easat-4929	109	4	science	science	NOUN
easat-4929	109	5	and	and	CCONJ
easat-4929	109	6	technology	technology	NOUN
easat-4929	109	7	issn	issn	PROPN
easat-4929	109	8	:	:	PUNCT
easat-4929	109	9	2576	2576	NUM
easat-4929	109	10	-	-	SYM
easat-4929	109	11	8484	8484	NUM
easat-4929	109	12	vol	vol	NOUN
easat-4929	109	13	.	.	PROPN
easat-4929	110	1	9	9	NUM
easat-4929	110	2	,	,	PUNCT
easat-4929	110	3	no	no	INTJ
easat-4929	110	4	.	.	NOUN
easat-4929	110	5	2	2	NUM
easat-4929	110	6	:	:	SYM
easat-4929	110	7	1803	1803	NUM
easat-4929	110	8	-	-	SYM
easat-4929	110	9	1829	1829	NUM
easat-4929	110	10	,	,	PUNCT
easat-4929	110	11	2025	2025	NUM
easat-4929	110	12	doi	doi	NOUN
easat-4929	110	13	:	:	PUNCT
easat-4929	110	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	110	15	©	©	PROPN
easat-4929	110	16	2025	2025	NUM
easat-4929	110	17	by	by	ADP
easat-4929	110	18	the	the	DET
easat-4929	110	19	authors	author	NOUN
easat-4929	110	20	;	;	PUNCT
easat-4929	110	21	licensee	licensee	PROPN
easat-4929	110	22	learning	learning	NOUN
easat-4929	110	23	gate	gate	NOUN
easat-4929	110	24	in	in	ADP
easat-4929	110	25	terms	term	NOUN
easat-4929	110	26	of	of	ADP
easat-4929	110	27	missing	miss	VERB
easat-4929	110	28	values	value	NOUN
easat-4929	110	29	,	,	PUNCT
easat-4929	110	30	the	the	DET
easat-4929	110	31	dataset	dataset	NOUN
easat-4929	110	32	contains	contain	VERB
easat-4929	110	33	considerable	considerable	ADJ
easat-4929	110	34	gaps	gap	NOUN
easat-4929	110	35	in	in	ADP
easat-4929	110	36	several	several	ADJ
easat-4929	110	37	columns	column	NOUN
easat-4929	110	38	.	.	PUNCT
easat-4929	111	1	for	for	ADP
easat-4929	111	2	example	example	NOUN
easat-4929	111	3	,	,	PUNCT
easat-4929	111	4	the	the	DET
easat-4929	111	5	weight	weight	NOUN
easat-4929	111	6	column	column	NOUN
easat-4929	111	7	has	have	VERB
easat-4929	111	8	96.86	96.86	NUM
easat-4929	111	9	%	%	NOUN
easat-4929	111	10	missing	miss	VERB
easat-4929	111	11	data	datum	NOUN
easat-4929	111	12	,	,	PUNCT
easat-4929	111	13	while	while	SCONJ
easat-4929	111	14	medical_specialty	medical_specialty	PROPN
easat-4929	111	15	has	have	VERB
easat-4929	111	16	49.08	49.08	NUM
easat-4929	111	17	%	%	NOUN
easat-4929	111	18	and	and	CCONJ
easat-4929	111	19	payer_code	payer_code	NOUN
easat-4929	111	20	has	have	VERB
easat-4929	111	21	39.56	39.56	NUM
easat-4929	111	22	%	%	NOUN
easat-4929	111	23	.	.	PUNCT
easat-4929	112	1	these	these	DET
easat-4929	112	2	high	high	ADJ
easat-4929	112	3	percentages	percentage	NOUN
easat-4929	112	4	of	of	ADP
easat-4929	112	5	missing	miss	VERB
easat-4929	112	6	data	datum	NOUN
easat-4929	112	7	could	could	AUX
easat-4929	112	8	have	have	VERB
easat-4929	112	9	an	an	DET
easat-4929	112	10	impact	impact	NOUN
easat-4929	112	11	on	on	ADP
easat-4929	112	12	the	the	DET
easat-4929	112	13	results	result	NOUN
easat-4929	112	14	.	.	PUNCT
easat-4929	113	1	other	other	ADJ
easat-4929	113	2	columns	column	NOUN
easat-4929	113	3	like	like	ADP
easat-4929	113	4	race	race	NOUN
easat-4929	113	5	(	(	PUNCT
easat-4929	113	6	2.23	2.23	NUM
easat-4929	113	7	%	%	NOUN
easat-4929	113	8	)	)	PUNCT
easat-4929	113	9	,	,	PUNCT
easat-4929	113	10	diag_1	diag_1	INTJ
easat-4929	113	11	(	(	PUNCT
easat-4929	113	12	0.02	0.02	NUM
easat-4929	113	13	%	%	NOUN
easat-4929	113	14	)	)	PUNCT
easat-4929	113	15	,	,	PUNCT
easat-4929	113	16	diag_2	diag_2	NOUN
easat-4929	113	17	(	(	PUNCT
easat-4929	113	18	0.35	0.35	NUM
easat-4929	113	19	%	%	NOUN
easat-4929	113	20	)	)	PUNCT
easat-4929	113	21	,	,	PUNCT
easat-4929	113	22	and	and	CCONJ
easat-4929	113	23	diag_3	diag_3	NOUN
easat-4929	113	24	(	(	PUNCT
easat-4929	113	25	1.40	1.40	NUM
easat-4929	113	26	%	%	NOUN
easat-4929	113	27	)	)	PUNCT
easat-4929	113	28	have	have	VERB
easat-4929	113	29	much	much	ADV
easat-4929	113	30	lower	low	ADJ
easat-4929	113	31	missing	missing	ADJ
easat-4929	113	32	percentages	percentage	NOUN
easat-4929	113	33	.	.	PUNCT
easat-4929	114	1	features	feature	NOUN
easat-4929	114	2	such	such	ADJ
easat-4929	114	3	as	as	ADP
easat-4929	114	4	examide	examide	NOUN
easat-4929	114	5	and	and	CCONJ
easat-4929	114	6	citoglipton	citoglipton	PROPN
easat-4929	114	7	have	have	VERB
easat-4929	114	8	only	only	ADV
easat-4929	114	9	one	one	NUM
easat-4929	114	10	value	value	NOUN
easat-4929	114	11	in	in	ADP
easat-4929	114	12	every	every	DET
easat-4929	114	13	row	row	NOUN
easat-4929	114	14	,	,	PUNCT
easat-4929	114	15	suggesting	suggest	VERB
easat-4929	114	16	they	they	PRON
easat-4929	114	17	have	have	VERB
easat-4929	114	18	no	no	DET
easat-4929	114	19	predictive	predictive	ADJ
easat-4929	114	20	potential	potential	NOUN
easat-4929	114	21	.	.	PUNCT
easat-4929	115	1	when	when	SCONJ
easat-4929	115	2	we	we	PRON
easat-4929	115	3	analyzed	analyze	VERB
easat-4929	115	4	data	datum	NOUN
easat-4929	115	5	consistency	consistency	NOUN
easat-4929	115	6	and	and	CCONJ
easat-4929	115	7	anomalies	anomaly	NOUN
easat-4929	115	8	,	,	PUNCT
easat-4929	115	9	we	we	PRON
easat-4929	115	10	found	find	VERB
easat-4929	115	11	that	that	SCONJ
easat-4929	115	12	the	the	DET
easat-4929	115	13	dataset	dataset	NOUN
easat-4929	115	14	has	have	VERB
easat-4929	115	15	71,518	71,518	NUM
easat-4929	115	16	unique	unique	ADJ
easat-4929	115	17	encounter_id	encounter_id	PROPN
easat-4929	115	18	values	value	NOUN
easat-4929	115	19	,	,	PUNCT
easat-4929	115	20	indicating	indicate	VERB
easat-4929	115	21	that	that	SCONJ
easat-4929	115	22	each	each	DET
easat-4929	115	23	hospital	hospital	NOUN
easat-4929	115	24	visit	visit	NOUN
easat-4929	115	25	is	be	AUX
easat-4929	115	26	unique	unique	ADJ
easat-4929	115	27	.	.	PUNCT
easat-4929	116	1	there	there	PRON
easat-4929	116	2	were	be	VERB
easat-4929	116	3	30,248	30,248	NUM
easat-4929	116	4	instances	instance	NOUN
easat-4929	116	5	where	where	SCONJ
easat-4929	116	6	patients	patient	NOUN
easat-4929	116	7	have	have	VERB
easat-4929	116	8	multiple	multiple	ADJ
easat-4929	116	9	encounters	encounter	NOUN
easat-4929	116	10	,	,	PUNCT
easat-4929	116	11	which	which	PRON
easat-4929	116	12	is	be	AUX
easat-4929	116	13	typical	typical	ADJ
easat-4929	116	14	in	in	ADP
easat-4929	116	15	healthcare	healthcare	PROPN
easat-4929	116	16	.	.	PUNCT
easat-4929	117	1	importantly	importantly	ADV
easat-4929	117	2	,	,	PUNCT
easat-4929	117	3	no	no	DET
easat-4929	117	4	duplicates	duplicate	NOUN
easat-4929	117	5	were	be	AUX
easat-4929	117	6	found	find	VERB
easat-4929	117	7	when	when	SCONJ
easat-4929	117	8	considering	consider	VERB
easat-4929	117	9	patient_nbr	patient_nbr	NUM
easat-4929	117	10	and	and	CCONJ
easat-4929	117	11	encounter_id	encounter_id	PROPN
easat-4929	117	12	,	,	PUNCT
easat-4929	117	13	so	so	ADV
easat-4929	117	14	each	each	DET
easat-4929	117	15	patient	patient	ADJ
easat-4929	117	16	encounter	encounter	NOUN
easat-4929	117	17	is	be	AUX
easat-4929	117	18	uniquely	uniquely	ADV
easat-4929	117	19	documented	document	VERB
easat-4929	117	20	.	.	PUNCT
easat-4929	118	1	no	no	DET
easat-4929	118	2	instances	instance	NOUN
easat-4929	118	3	of	of	ADP
easat-4929	118	4	negative	negative	ADJ
easat-4929	118	5	values	value	NOUN
easat-4929	118	6	were	be	AUX
easat-4929	118	7	found	find	VERB
easat-4929	118	8	in	in	ADP
easat-4929	118	9	the	the	DET
easat-4929	118	10	integer	integer	NOUN
easat-4929	118	11	columns	column	NOUN
easat-4929	118	12	,	,	PUNCT
easat-4929	118	13	which	which	PRON
easat-4929	118	14	suggests	suggest	VERB
easat-4929	118	15	that	that	SCONJ
easat-4929	118	16	the	the	DET
easat-4929	118	17	numerical	numerical	ADJ
easat-4929	118	18	data	data	PROPN
easat-4929	118	19	is	be	AUX
easat-4929	118	20	within	within	ADP
easat-4929	118	21	expected	expect	VERB
easat-4929	118	22	ranges	range	NOUN
easat-4929	118	23	and	and	CCONJ
easat-4929	118	24	does	do	AUX
easat-4929	118	25	not	not	PART
easat-4929	118	26	contain	contain	VERB
easat-4929	118	27	obvious	obvious	ADJ
easat-4929	118	28	entry	entry	NOUN
easat-4929	118	29	errors	error	NOUN
easat-4929	118	30	.	.	PUNCT
easat-4929	119	1	following	follow	VERB
easat-4929	119	2	paragraph	paragraph	NOUN
easat-4929	119	3	and	and	CCONJ
easat-4929	119	4	data	datum	NOUN
easat-4929	119	5	provides	provide	VERB
easat-4929	119	6	an	an	DET
easat-4929	119	7	overview	overview	NOUN
easat-4929	119	8	of	of	ADP
easat-4929	119	9	descriptive	descriptive	ADJ
easat-4929	119	10	statistics	statistic	NOUN
easat-4929	119	11	including	include	VERB
easat-4929	119	12	numerical	numerical	ADJ
easat-4929	119	13	features	feature	NOUN
easat-4929	119	14	.	.	PUNCT
easat-4929	120	1	figure	figure	VERB
easat-4929	120	2	1	1	NUM
easat-4929	120	3	.	.	PUNCT
easat-4929	120	4	descriptive	descriptive	ADJ
easat-4929	120	5	statistics	statistic	NOUN
easat-4929	120	6	of	of	ADP
easat-4929	120	7	numerical	numerical	ADJ
easat-4929	120	8	features	feature	NOUN
easat-4929	120	9	the	the	DET
easat-4929	120	10	figure	figure	NOUN
easat-4929	120	11	1	1	NUM
easat-4929	120	12	summarizes	summarize	NOUN
easat-4929	120	13	the	the	DET
easat-4929	120	14	central	central	ADJ
easat-4929	120	15	tendency	tendency	NOUN
easat-4929	120	16	,	,	PUNCT
easat-4929	120	17	dispersion	dispersion	NOUN
easat-4929	120	18	,	,	PUNCT
easat-4929	120	19	and	and	CCONJ
easat-4929	120	20	shape	shape	NOUN
easat-4929	120	21	of	of	ADP
easat-4929	120	22	the	the	DET
easat-4929	120	23	numerical	numerical	ADJ
easat-4929	120	24	features	feature	NOUN
easat-4929	120	25	.	.	PUNCT
easat-4929	121	1	although	although	SCONJ
easat-4929	121	2	admission_type_id	admission_type_id	PROPN
easat-4929	121	3	,	,	PUNCT
easat-4929	121	4	admission_source_id	admission_source_id	PROPN
easat-4929	121	5	,	,	PUNCT
easat-4929	121	6	and	and	CCONJ
easat-4929	121	7	discharge_disposition_id	discharge_disposition_id	PROPN
easat-4929	121	8	appear	appear	VERB
easat-4929	121	9	as	as	ADP
easat-4929	121	10	numerical	numerical	ADJ
easat-4929	121	11	variables	variable	NOUN
easat-4929	121	12	,	,	PUNCT
easat-4929	121	13	they	they	PRON
easat-4929	121	14	should	should	AUX
easat-4929	121	15	be	be	AUX
easat-4929	121	16	treated	treat	VERB
easat-4929	121	17	as	as	ADP
easat-4929	121	18	categorical	categorical	ADJ
easat-4929	121	19	variables	variable	NOUN
easat-4929	121	20	because	because	SCONJ
easat-4929	121	21	they	they	PRON
easat-4929	121	22	represent	represent	VERB
easat-4929	121	23	i	i	PROPN
easat-4929	121	24	d	d	PROPN
easat-4929	121	25	mappings	mapping	NOUN
easat-4929	121	26	rather	rather	ADV
easat-4929	121	27	than	than	ADP
easat-4929	121	28	continuous	continuous	ADJ
easat-4929	121	29	or	or	CCONJ
easat-4929	121	30	ordinal	ordinal	ADJ
easat-4929	121	31	data	datum	NOUN
easat-4929	121	32	.	.	PUNCT
easat-4929	122	1	the	the	DET
easat-4929	122	2	analysis	analysis	NOUN
easat-4929	122	3	of	of	ADP
easat-4929	122	4	variables	variable	NOUN
easat-4929	122	5	helped	help	VERB
easat-4929	122	6	us	we	PRON
easat-4929	122	7	understand	understand	VERB
easat-4929	122	8	the	the	DET
easat-4929	122	9	intricacies	intricacy	NOUN
easat-4929	122	10	,	,	PUNCT
easat-4929	122	11	distribution	distribution	NOUN
easat-4929	122	12	,	,	PUNCT
easat-4929	122	13	categorization	categorization	NOUN
easat-4929	122	14	,	,	PUNCT
easat-4929	122	15	trends	trend	NOUN
easat-4929	122	16	,	,	PUNCT
easat-4929	122	17	and	and	CCONJ
easat-4929	122	18	imbalances	imbalance	NOUN
easat-4929	122	19	within	within	ADP
easat-4929	122	20	the	the	DET
easat-4929	122	21	dataset	dataset	NOUN
easat-4929	122	22	.	.	PUNCT
easat-4929	123	1	the	the	DET
easat-4929	123	2	readmitted	readmitte	VERB
easat-4929	123	3	variable	variable	NOUN
easat-4929	123	4	indicates	indicate	VERB
easat-4929	123	5	whether	whether	SCONJ
easat-4929	123	6	a	a	DET
easat-4929	123	7	patient	patient	NOUN
easat-4929	123	8	was	be	AUX
easat-4929	123	9	readmitted	readmitte	VERB
easat-4929	123	10	to	to	ADP
easat-4929	123	11	the	the	DET
easat-4929	123	12	hospital	hospital	NOUN
easat-4929	123	13	after	after	ADP
easat-4929	123	14	discharge	discharge	NOUN
easat-4929	123	15	and	and	CCONJ
easat-4929	123	16	within	within	ADP
easat-4929	123	17	what	what	PRON
easat-4929	123	18	timeframe	timeframe	NOUN
easat-4929	123	19	.	.	PUNCT
easat-4929	124	1	it	it	PRON
easat-4929	124	2	has	have	VERB
easat-4929	124	3	three	three	NUM
easat-4929	124	4	distinct	distinct	ADJ
easat-4929	124	5	categories	category	NOUN
easat-4929	124	6	:	:	PUNCT
easat-4929	124	7	no	no	ADV
easat-4929	124	8	:	:	PUNCT
easat-4929	124	9	indicates	indicate	VERB
easat-4929	124	10	that	that	SCONJ
easat-4929	124	11	the	the	DET
easat-4929	124	12	patient	patient	NOUN
easat-4929	124	13	was	be	AUX
easat-4929	124	14	not	not	PART
easat-4929	124	15	readmitted	readmitte	VERB
easat-4929	124	16	.	.	PUNCT
easat-4929	125	1	>	>	X
easat-4929	125	2	30	30	NUM
easat-4929	125	3	:	:	PUNCT
easat-4929	125	4	indicates	indicate	VERB
easat-4929	125	5	that	that	SCONJ
easat-4929	125	6	the	the	DET
easat-4929	125	7	patient	patient	NOUN
easat-4929	125	8	was	be	AUX
easat-4929	125	9	readmitted	readmitte	VERB
easat-4929	125	10	more	more	ADJ
easat-4929	125	11	than	than	ADP
easat-4929	125	12	30	30	NUM
easat-4929	125	13	days	day	NOUN
easat-4929	125	14	after	after	ADP
easat-4929	125	15	discharge	discharge	NOUN
easat-4929	125	16	.	.	PUNCT
easat-4929	126	1	<	<	X
easat-4929	126	2	30	30	NUM
easat-4929	126	3	:	:	PUNCT
easat-4929	126	4	indicates	indicate	VERB
easat-4929	126	5	that	that	SCONJ
easat-4929	126	6	the	the	DET
easat-4929	126	7	patient	patient	NOUN
easat-4929	126	8	was	be	AUX
easat-4929	126	9	readmitted	readmitte	VERB
easat-4929	126	10	within	within	ADP
easat-4929	126	11	30	30	NUM
easat-4929	126	12	days	day	NOUN
easat-4929	126	13	after	after	SCONJ
easat-4929	126	14	discharge	discharge	VERB
easat-4929	126	15	the	the	DET
easat-4929	126	16	distribution	distribution	NOUN
easat-4929	126	17	in	in	ADP
easat-4929	126	18	the	the	DET
easat-4929	126	19	figure	figure	NOUN
easat-4929	126	20	2	2	NUM
easat-4929	126	21	indicates	indicate	VERB
easat-4929	126	22	a	a	DET
easat-4929	126	23	substantial	substantial	ADJ
easat-4929	126	24	class	class	NOUN
easat-4929	126	25	imbalance	imbalance	NOUN
easat-4929	126	26	,	,	PUNCT
easat-4929	126	27	particularly	particularly	ADV
easat-4929	126	28	concerning	concern	VERB
easat-4929	126	29	the	the	DET
easat-4929	126	30	<	<	NOUN
easat-4929	126	31	30	30	NUM
easat-4929	126	32	category	category	NOUN
easat-4929	126	33	,	,	PUNCT
easat-4929	126	34	constituting	constitute	VERB
easat-4929	126	35	only	only	ADV
easat-4929	126	36	11.2	11.2	NUM
easat-4929	126	37	%	%	NOUN
easat-4929	126	38	of	of	ADP
easat-4929	126	39	the	the	DET
easat-4929	126	40	data	datum	NOUN
easat-4929	126	41	.	.	PUNCT
easat-4929	127	1	this	this	DET
easat-4929	127	2	imbalance	imbalance	NOUN
easat-4929	127	3	poses	pose	VERB
easat-4929	127	4	challenges	challenge	NOUN
easat-4929	127	5	for	for	ADP
easat-4929	127	6	predictive	predictive	ADJ
easat-4929	127	7	modelling	modelling	NOUN
easat-4929	127	8	.	.	PUNCT
easat-4929	128	1	to	to	PART
easat-4929	128	2	address	address	VERB
easat-4929	128	3	this	this	DET
easat-4929	128	4	issue	issue	NOUN
easat-4929	128	5	,	,	PUNCT
easat-4929	128	6	strategies	strategy	NOUN
easat-4929	128	7	will	will	AUX
easat-4929	128	8	be	be	AUX
easat-4929	128	9	implemented	implement	VERB
easat-4929	128	10	during	during	ADP
easat-4929	128	11	the	the	DET
easat-4929	128	12	data	data	NOUN
easat-4929	128	13	preprocessing	preprocessing	NOUN
easat-4929	128	14	phase	phase	NOUN
easat-4929	128	15	.	.	PUNCT
easat-4929	129	1	since	since	SCONJ
easat-4929	129	2	this	this	DET
easat-4929	129	3	study	study	NOUN
easat-4929	129	4	’s	’s	PART
easat-4929	129	5	goal	goal	NOUN
easat-4929	129	6	is	be	AUX
easat-4929	129	7	to	to	PART
easat-4929	129	8	predict	predict	VERB
easat-4929	129	9	less	less	ADJ
easat-4929	129	10	than	than	ADP
easat-4929	129	11	30	30	NUM
easat-4929	129	12	-	-	PUNCT
easat-4929	129	13	day	day	NOUN
easat-4929	129	14	readmissions	readmission	NOUN
easat-4929	129	15	,	,	PUNCT
easat-4929	129	16	we	we	PRON
easat-4929	129	17	will	will	AUX
easat-4929	129	18	combine	combine	VERB
easat-4929	129	19	the	the	DET
easat-4929	129	20	no	no	NOUN
easat-4929	129	21	and	and	CCONJ
easat-4929	129	22	greater	great	ADJ
easat-4929	129	23	than	than	ADP
easat-4929	129	24	30	30	NUM
easat-4929	129	25	into	into	ADP
easat-4929	129	26	a	a	DET
easat-4929	129	27	single	single	ADJ
easat-4929	129	28	category	category	NOUN
easat-4929	129	29	so	so	SCONJ
easat-4929	129	30	that	that	SCONJ
easat-4929	129	31	we	we	PRON
easat-4929	129	32	have	have	VERB
easat-4929	129	33	a	a	DET
easat-4929	129	34	binary	binary	ADJ
easat-4929	129	35	classification	classification	NOUN
easat-4929	129	36	problem	problem	NOUN
easat-4929	129	37	,	,	PUNCT
easat-4929	129	38	as	as	SCONJ
easat-4929	129	39	seen	see	VERB
easat-4929	129	40	in	in	ADP
easat-4929	129	41	the	the	DET
easat-4929	129	42	figure	figure	NOUN
easat-4929	129	43	3	3	X
easat-4929	129	44	.	.	PUNCT
easat-4929	130	1	this	this	PRON
easat-4929	130	2	will	will	AUX
easat-4929	130	3	also	also	ADV
easat-4929	130	4	help	help	VERB
easat-4929	130	5	in	in	ADP
easat-4929	130	6	getting	get	VERB
easat-4929	130	7	a	a	DET
easat-4929	130	8	better	well	ADJ
easat-4929	130	9	picture	picture	NOUN
easat-4929	130	10	of	of	ADP
easat-4929	130	11	this	this	DET
easat-4929	130	12	study	study	NOUN
easat-4929	130	13	's	's	PART
easat-4929	130	14	problem	problem	NOUN
easat-4929	130	15	in	in	ADP
easat-4929	130	16	the	the	DET
easat-4929	130	17	bivariate	bivariate	ADJ
easat-4929	130	18	analysis	analysis	NOUN
easat-4929	130	19	.	.	PUNCT
easat-4929	131	1	1808	1808	NUM
easat-4929	131	2	edelweiss	edelweiss	PROPN
easat-4929	131	3	applied	apply	VERB
easat-4929	131	4	science	science	NOUN
easat-4929	131	5	and	and	CCONJ
easat-4929	131	6	technology	technology	NOUN
easat-4929	131	7	issn	issn	PROPN
easat-4929	131	8	:	:	PUNCT
easat-4929	131	9	2576	2576	NUM
easat-4929	131	10	-	-	SYM
easat-4929	131	11	8484	8484	NUM
easat-4929	131	12	vol	vol	NOUN
easat-4929	131	13	.	.	PROPN
easat-4929	132	1	9	9	NUM
easat-4929	132	2	,	,	PUNCT
easat-4929	132	3	no	no	INTJ
easat-4929	132	4	.	.	NOUN
easat-4929	132	5	2	2	NUM
easat-4929	132	6	:	:	SYM
easat-4929	132	7	1803	1803	NUM
easat-4929	132	8	-	-	SYM
easat-4929	132	9	1829	1829	NUM
easat-4929	132	10	,	,	PUNCT
easat-4929	132	11	2025	2025	NUM
easat-4929	132	12	doi	doi	NOUN
easat-4929	132	13	:	:	PUNCT
easat-4929	132	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	132	15	©	©	PROPN
easat-4929	132	16	2025	2025	NUM
easat-4929	132	17	by	by	ADP
easat-4929	132	18	the	the	DET
easat-4929	132	19	authors	author	NOUN
easat-4929	132	20	;	;	PUNCT
easat-4929	132	21	licensee	licensee	PROPN
easat-4929	132	22	learning	learn	VERB
easat-4929	132	23	gate	gate	NOUN
easat-4929	132	24	in	in	ADP
easat-4929	132	25	the	the	DET
easat-4929	132	26	data	datum	NOUN
easat-4929	132	27	pre	pre	ADJ
easat-4929	132	28	-	-	ADJ
easat-4929	132	29	processing	processing	ADJ
easat-4929	132	30	phase	phase	NOUN
easat-4929	132	31	,	,	PUNCT
easat-4929	132	32	identifying	identify	VERB
easat-4929	132	33	missing	miss	VERB
easat-4929	132	34	values	value	NOUN
easat-4929	132	35	is	be	AUX
easat-4929	132	36	the	the	DET
easat-4929	132	37	first	first	ADJ
easat-4929	132	38	step	step	NOUN
easat-4929	132	39	,	,	PUNCT
easat-4929	132	40	guaranteeing	guarantee	VERB
easat-4929	132	41	data	datum	NOUN
easat-4929	132	42	integrity	integrity	NOUN
easat-4929	132	43	for	for	ADP
easat-4929	132	44	analysis	analysis	NOUN
easat-4929	132	45	or	or	CCONJ
easat-4929	132	46	model	model	NOUN
easat-4929	132	47	training	training	NOUN
easat-4929	132	48	.	.	PUNCT
easat-4929	133	1	during	during	ADP
easat-4929	133	2	the	the	DET
easat-4929	133	3	initial	initial	ADJ
easat-4929	133	4	exploratory	exploratory	ADJ
easat-4929	133	5	data	datum	NOUN
easat-4929	133	6	analysis	analysis	NOUN
easat-4929	133	7	(	(	PUNCT
easat-4929	133	8	eda	eda	PROPN
easat-4929	133	9	)	)	PUNCT
easat-4929	133	10	,	,	PUNCT
easat-4929	133	11	missing	miss	VERB
easat-4929	133	12	values	value	NOUN
easat-4929	133	13	were	be	AUX
easat-4929	133	14	identified	identify	VERB
easat-4929	133	15	in	in	ADP
easat-4929	133	16	several	several	ADJ
easat-4929	133	17	features	feature	NOUN
easat-4929	133	18	in	in	ADP
easat-4929	133	19	the	the	DET
easat-4929	133	20	dataset	dataset	NOUN
easat-4929	133	21	.	.	PUNCT
easat-4929	134	1	the	the	DET
easat-4929	134	2	missing	miss	VERB
easat-4929	134	3	values	value	NOUN
easat-4929	134	4	,	,	PUNCT
easat-4929	134	5	represented	represent	VERB
easat-4929	134	6	by	by	ADP
easat-4929	134	7	the	the	DET
easat-4929	134	8	character	character	NOUN
easat-4929	134	9	'	'	PUNCT
easat-4929	134	10	?	?	PUNCT
easat-4929	134	11	'	'	PUNCT
easat-4929	134	12	,	,	PUNCT
easat-4929	134	13	were	be	AUX
easat-4929	134	14	prevalent	prevalent	ADJ
easat-4929	134	15	in	in	ADP
easat-4929	134	16	features	feature	NOUN
easat-4929	134	17	such	such	ADJ
easat-4929	134	18	as	as	ADP
easat-4929	134	19	payer	payer	PROPN
easat-4929	134	20	code	code	PROPN
easat-4929	134	21	,	,	PUNCT
easat-4929	134	22	medical	medical	ADJ
easat-4929	134	23	specialty	specialty	NOUN
easat-4929	134	24	,	,	PUNCT
easat-4929	134	25	and	and	CCONJ
easat-4929	134	26	race	race	NOUN
easat-4929	134	27	.	.	PUNCT
easat-4929	135	1	3.1.1	3.1.1	X
easat-4929	135	2	.	.	PUNCT
easat-4929	135	3	imputation	imputation	NOUN
easat-4929	135	4	strategies	strategy	NOUN
easat-4929	135	5	missing	miss	VERB
easat-4929	135	6	values	value	NOUN
easat-4929	135	7	in	in	ADP
easat-4929	135	8	these	these	DET
easat-4929	135	9	icd9	icd9	NOUN
easat-4929	135	10	codes	code	NOUN
easat-4929	135	11	(	(	PUNCT
easat-4929	135	12	diag_1	diag_1	NOUN
easat-4929	135	13	,	,	PUNCT
easat-4929	135	14	diag_2	diag_2	PROPN
easat-4929	135	15	,	,	PUNCT
easat-4929	135	16	diag_3	diag_3	NOUN
easat-4929	135	17	)	)	PUNCT
easat-4929	135	18	were	be	AUX
easat-4929	135	19	imputed	impute	VERB
easat-4929	135	20	using	use	VERB
easat-4929	135	21	the	the	DET
easat-4929	135	22	mode	mode	NOUN
easat-4929	135	23	.	.	PUNCT
easat-4929	136	1	this	this	DET
easat-4929	136	2	decision	decision	NOUN
easat-4929	136	3	was	be	AUX
easat-4929	136	4	based	base	VERB
easat-4929	136	5	on	on	ADP
easat-4929	136	6	the	the	DET
easat-4929	136	7	lack	lack	NOUN
easat-4929	136	8	of	of	ADP
easat-4929	136	9	significant	significant	ADJ
easat-4929	136	10	correlations	correlation	NOUN
easat-4929	136	11	between	between	ADP
easat-4929	136	12	missing	miss	VERB
easat-4929	136	13	data	datum	NOUN
easat-4929	136	14	in	in	ADP
easat-4929	136	15	these	these	DET
easat-4929	136	16	columns	column	NOUN
easat-4929	136	17	and	and	CCONJ
easat-4929	136	18	other	other	ADJ
easat-4929	136	19	features	feature	NOUN
easat-4929	136	20	,	,	PUNCT
easat-4929	136	21	suggesting	suggest	VERB
easat-4929	136	22	that	that	SCONJ
easat-4929	136	23	the	the	DET
easat-4929	136	24	missingness	missingness	NOUN
easat-4929	136	25	was	be	AUX
easat-4929	136	26	random	random	ADJ
easat-4929	136	27	.	.	PUNCT
easat-4929	137	1	mode	mode	NOUN
easat-4929	137	2	imputation	imputation	NOUN
easat-4929	137	3	ensures	ensure	VERB
easat-4929	137	4	that	that	SCONJ
easat-4929	137	5	the	the	DET
easat-4929	137	6	most	most	ADV
easat-4929	137	7	frequent	frequent	ADJ
easat-4929	137	8	diagnosis	diagnosis	NOUN
easat-4929	137	9	code	code	NOUN
easat-4929	137	10	fills	fill	VERB
easat-4929	137	11	in	in	ADP
easat-4929	137	12	the	the	DET
easat-4929	137	13	gaps	gap	NOUN
easat-4929	137	14	,	,	PUNCT
easat-4929	137	15	maintaining	maintain	VERB
easat-4929	137	16	data	data	NOUN
easat-4929	137	17	consistency	consistency	NOUN
easat-4929	137	18	without	without	ADP
easat-4929	137	19	introducing	introduce	VERB
easat-4929	137	20	bias	bias	NOUN
easat-4929	137	21	.	.	PUNCT
easat-4929	138	1	in	in	ADP
easat-4929	138	2	excluding	exclude	VERB
easat-4929	138	3	rows	row	NOUN
easat-4929	138	4	or	or	CCONJ
easat-4929	138	5	columns	column	NOUN
easat-4929	138	6	due	due	ADJ
easat-4929	138	7	to	to	ADP
easat-4929	138	8	high	high	ADJ
easat-4929	138	9	missing	missing	ADJ
easat-4929	138	10	values	value	NOUN
easat-4929	138	11	we	we	PRON
easat-4929	138	12	have	have	VERB
easat-4929	138	13	we	we	PRON
easat-4929	138	14	have	have	AUX
easat-4929	138	15	taken	take	VERB
easat-4929	138	16	great	great	ADJ
easat-4929	138	17	care	care	NOUN
easat-4929	138	18	to	to	PART
easat-4929	138	19	note	note	VERB
easat-4929	138	20	that	that	SCONJ
easat-4929	138	21	if	if	SCONJ
easat-4929	138	22	too	too	ADV
easat-4929	138	23	many	many	ADJ
easat-4929	138	24	data	datum	NOUN
easat-4929	138	25	are	be	AUX
easat-4929	138	26	removed	remove	VERB
easat-4929	138	27	,	,	PUNCT
easat-4929	138	28	especially	especially	ADV
easat-4929	138	29	key	key	ADJ
easat-4929	138	30	features	feature	NOUN
easat-4929	138	31	,	,	PUNCT
easat-4929	138	32	this	this	PRON
easat-4929	138	33	can	can	AUX
easat-4929	138	34	reduce	reduce	VERB
easat-4929	138	35	the	the	DET
easat-4929	138	36	usefulness	usefulness	NOUN
easat-4929	138	37	of	of	ADP
easat-4929	138	38	the	the	DET
easat-4929	138	39	data	datum	NOUN
easat-4929	138	40	.	.	PUNCT
easat-4929	139	1	the	the	DET
easat-4929	139	2	payer	payer	PROPN
easat-4929	139	3	code	code	PROPN
easat-4929	139	4	,	,	PUNCT
easat-4929	139	5	which	which	PRON
easat-4929	139	6	indicates	indicate	VERB
easat-4929	139	7	the	the	DET
easat-4929	139	8	specific	specific	ADJ
easat-4929	139	9	health	health	NOUN
easat-4929	139	10	insurance	insurance	NOUN
easat-4929	139	11	type	type	NOUN
easat-4929	139	12	,	,	PUNCT
easat-4929	139	13	was	be	AUX
easat-4929	139	14	removed	remove	VERB
easat-4929	139	15	from	from	ADP
easat-4929	139	16	the	the	DET
easat-4929	139	17	dataset	dataset	NOUN
easat-4929	139	18	because	because	SCONJ
easat-4929	139	19	it	it	PRON
easat-4929	139	20	had	have	VERB
easat-4929	139	21	a	a	DET
easat-4929	139	22	significant	significant	ADJ
easat-4929	139	23	number	number	NOUN
easat-4929	139	24	of	of	ADP
easat-4929	139	25	missing	miss	VERB
easat-4929	139	26	values	value	NOUN
easat-4929	139	27	.	.	PUNCT
easat-4929	140	1	retaining	retain	VERB
easat-4929	140	2	this	this	DET
easat-4929	140	3	feature	feature	NOUN
easat-4929	140	4	may	may	AUX
easat-4929	140	5	provide	provide	VERB
easat-4929	140	6	unnecessary	unnecessary	ADJ
easat-4929	140	7	interference	interference	NOUN
easat-4929	140	8	and	and	CCONJ
easat-4929	140	9	potentially	potentially	ADV
easat-4929	140	10	skew	skew	VERB
easat-4929	140	11	the	the	DET
easat-4929	140	12	model	model	NOUN
easat-4929	140	13	's	's	PART
easat-4929	140	14	results	result	NOUN
easat-4929	140	15	.	.	PUNCT
easat-4929	141	1	similarly	similarly	ADV
easat-4929	141	2	,	,	PUNCT
easat-4929	141	3	the	the	DET
easat-4929	141	4	'	'	PUNCT
easat-4929	141	5	medical	medical	ADJ
easat-4929	141	6	specialty	specialty	NOUN
easat-4929	141	7	'	'	PUNCT
easat-4929	141	8	feature	feature	NOUN
easat-4929	141	9	was	be	AUX
easat-4929	141	10	excluded	exclude	VERB
easat-4929	141	11	because	because	SCONJ
easat-4929	141	12	nearly	nearly	ADV
easat-4929	141	13	48.9	48.9	NUM
easat-4929	141	14	%	%	NOUN
easat-4929	141	15	of	of	ADP
easat-4929	141	16	its	its	PRON
easat-4929	141	17	values	value	NOUN
easat-4929	141	18	were	be	AUX
easat-4929	141	19	missing	miss	VERB
easat-4929	141	20	.	.	PUNCT
easat-4929	142	1	the	the	DET
easat-4929	142	2	'	'	PUNCT
easat-4929	142	3	weight	weight	NOUN
easat-4929	142	4	'	'	PUNCT
easat-4929	142	5	feature	feature	NOUN
easat-4929	142	6	was	be	AUX
easat-4929	142	7	also	also	ADV
easat-4929	142	8	omitted	omit	VERB
easat-4929	142	9	because	because	SCONJ
easat-4929	142	10	96.88	96.88	NUM
easat-4929	142	11	%	%	NOUN
easat-4929	142	12	of	of	ADP
easat-4929	142	13	its	its	PRON
easat-4929	142	14	values	value	NOUN
easat-4929	142	15	were	be	AUX
easat-4929	142	16	missing	miss	VERB
easat-4929	142	17	.	.	PUNCT
easat-4929	143	1	given	give	VERB
easat-4929	143	2	the	the	DET
easat-4929	143	3	minimal	minimal	ADJ
easat-4929	143	4	data	datum	NOUN
easat-4929	143	5	available	available	ADJ
easat-4929	143	6	,	,	PUNCT
easat-4929	143	7	imputing	impute	VERB
easat-4929	143	8	or	or	CCONJ
easat-4929	143	9	analysing	analyse	VERB
easat-4929	143	10	this	this	DET
easat-4929	143	11	feature	feature	NOUN
easat-4929	143	12	meaningfully	meaningfully	ADV
easat-4929	143	13	was	be	AUX
easat-4929	143	14	not	not	PART
easat-4929	143	15	feasible	feasible	ADJ
easat-4929	143	16	.	.	PUNCT
easat-4929	144	1	considering	consider	VERB
easat-4929	144	2	category	category	NOUN
easat-4929	144	3	exclusion	exclusion	NOUN
easat-4929	144	4	process	process	NOUN
easat-4929	144	5	,	,	PUNCT
easat-4929	144	6	the	the	DET
easat-4929	144	7	'	'	PUNCT
easat-4929	144	8	newborn	newborn	ADJ
easat-4929	144	9	'	'	PUNCT
easat-4929	144	10	category	category	NOUN
easat-4929	144	11	within	within	ADP
easat-4929	144	12	the	the	DET
easat-4929	144	13	'	'	PUNCT
easat-4929	144	14	admission_type_id	admission_type_id	PROPN
easat-4929	144	15	'	'	PUNCT
easat-4929	144	16	feature	feature	NOUN
easat-4929	144	17	was	be	AUX
easat-4929	144	18	excluded	exclude	VERB
easat-4929	144	19	due	due	ADP
easat-4929	144	20	to	to	ADP
easat-4929	144	21	the	the	DET
easat-4929	144	22	inconsistencies	inconsistency	NOUN
easat-4929	144	23	it	it	PRON
easat-4929	144	24	introduced	introduce	VERB
easat-4929	144	25	in	in	ADP
easat-4929	144	26	the	the	DET
easat-4929	144	27	dataset	dataset	NOUN
easat-4929	144	28	.	.	PUNCT
easat-4929	145	1	specifically	specifically	ADV
easat-4929	145	2	,	,	PUNCT
easat-4929	145	3	the	the	DET
easat-4929	145	4	age	age	NOUN
easat-4929	145	5	values	value	NOUN
easat-4929	145	6	associated	associate	VERB
easat-4929	145	7	with	with	ADP
easat-4929	145	8	entries	entry	NOUN
easat-4929	145	9	categorized	categorize	VERB
easat-4929	145	10	as	as	ADP
easat-4929	145	11	'	'	PUNCT
easat-4929	145	12	newborn	newborn	PRON
easat-4929	145	13	'	'	PUNCT
easat-4929	145	14	were	be	AUX
easat-4929	145	15	found	find	VERB
easat-4929	145	16	to	to	PART
easat-4929	145	17	be	be	AUX
easat-4929	145	18	questionable	questionable	ADJ
easat-4929	145	19	and	and	CCONJ
easat-4929	145	20	did	do	VERB
easat-4929	145	21	not	not	PART
easat-4929	145	22	.	.	PUNCT
easat-4929	146	1	align	align	VERB
easat-4929	146	2	with	with	ADP
easat-4929	146	3	patient	patient	ADJ
easat-4929	146	4	age	age	NOUN
easat-4929	146	5	ranges	range	NOUN
easat-4929	146	6	.	.	PUNCT
easat-4929	147	1	likewise	likewise	ADV
easat-4929	147	2	,	,	PUNCT
easat-4929	147	3	the	the	DET
easat-4929	147	4	'	'	PUNCT
easat-4929	147	5	delivery	delivery	NOUN
easat-4929	147	6	and	and	CCONJ
easat-4929	147	7	birth	birth	NOUN
easat-4929	147	8	'	'	PUNCT
easat-4929	147	9	category	category	NOUN
easat-4929	147	10	in	in	ADP
easat-4929	147	11	'	'	PUNCT
easat-4929	147	12	admission_source_id	admission_source_id	PROPN
easat-4929	147	13	'	'	PUNCT
easat-4929	147	14	was	be	AUX
easat-4929	147	15	also	also	ADV
easat-4929	147	16	excluded	exclude	VERB
easat-4929	147	17	because	because	SCONJ
easat-4929	147	18	it	it	PRON
easat-4929	147	19	contradicted	contradict	VERB
easat-4929	147	20	the	the	DET
easat-4929	147	21	values	value	NOUN
easat-4929	147	22	in	in	ADP
easat-4929	147	23	column	column	NOUN
easat-4929	147	24	'	'	PUNCT
easat-4929	147	25	age	age	NOUN
easat-4929	147	26	'	'	PUNCT
easat-4929	147	27	.	.	PUNCT
easat-4929	148	1	figure	figure	NOUN
easat-4929	148	2	2	2	NUM
easat-4929	148	3	.	.	PUNCT
easat-4929	149	1	distribution	distribution	NOUN
easat-4929	149	2	of	of	ADP
easat-4929	149	3	readmitted	readmitte	VERB
easat-4929	149	4	values	value	NOUN
easat-4929	149	5	.	.	PUNCT
easat-4929	150	1	after	after	ADP
easat-4929	150	2	grouping	group	VERB
easat-4929	150	3	categories	category	NOUN
easat-4929	150	4	,	,	PUNCT
easat-4929	150	5	'	'	PUNCT
easat-4929	150	6	neonate	neonate	NOUN
easat-4929	150	7	'	'	PUNCT
easat-4929	150	8	category	category	NOUN
easat-4929	150	9	within	within	ADP
easat-4929	150	10	the	the	DET
easat-4929	150	11	'	'	PUNCT
easat-4929	150	12	discharge_disposition_id	discharge_disposition_id	PROPN
easat-4929	150	13	'	'	PUNCT
easat-4929	150	14	feature	feature	NOUN
easat-4929	150	15	was	be	AUX
easat-4929	150	16	excluded	exclude	VERB
easat-4929	150	17	.	.	PUNCT
easat-4929	151	1	since	since	SCONJ
easat-4929	151	2	neonates	neonate	NOUN
easat-4929	151	3	who	who	PRON
easat-4929	151	4	are	be	AUX
easat-4929	151	5	discharged	discharge	VERB
easat-4929	151	6	for	for	ADP
easat-4929	151	7	specialized	specialized	ADJ
easat-4929	151	8	neonatal	neonatal	ADJ
easat-4929	151	9	care	care	NOUN
easat-4929	151	10	have	have	VERB
easat-4929	151	11	different	different	ADJ
easat-4929	151	12	follow	follow	NOUN
easat-4929	151	13	-	-	PUNCT
easat-4929	151	14	up	up	NOUN
easat-4929	151	15	and	and	CCONJ
easat-4929	151	16	1809	1809	NUM
easat-4929	151	17	edelweiss	edelweiss	PROPN
easat-4929	151	18	applied	apply	VERB
easat-4929	151	19	science	science	NOUN
easat-4929	151	20	and	and	CCONJ
easat-4929	151	21	technology	technology	NOUN
easat-4929	151	22	issn	issn	PROPN
easat-4929	151	23	:	:	PUNCT
easat-4929	151	24	2576	2576	NUM
easat-4929	151	25	-	-	SYM
easat-4929	151	26	8484	8484	NUM
easat-4929	151	27	vol	vol	NOUN
easat-4929	151	28	.	.	PROPN
easat-4929	152	1	9	9	NUM
easat-4929	152	2	,	,	PUNCT
easat-4929	152	3	no	no	INTJ
easat-4929	152	4	.	.	NOUN
easat-4929	152	5	2	2	NUM
easat-4929	152	6	:	:	SYM
easat-4929	152	7	1803	1803	NUM
easat-4929	152	8	-	-	SYM
easat-4929	152	9	1829	1829	NUM
easat-4929	152	10	,	,	PUNCT
easat-4929	152	11	2025	2025	NUM
easat-4929	152	12	doi	doi	NOUN
easat-4929	152	13	:	:	PUNCT
easat-4929	152	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	152	15	©	©	PROPN
easat-4929	152	16	2025	2025	NUM
easat-4929	152	17	by	by	ADP
easat-4929	152	18	the	the	DET
easat-4929	152	19	authors	author	NOUN
easat-4929	152	20	;	;	PUNCT
easat-4929	152	21	licensee	licensee	PROPN
easat-4929	152	22	learning	learn	VERB
easat-4929	152	23	gate	gate	NOUN
easat-4929	152	24	readmission	readmission	NOUN
easat-4929	152	25	patterns	pattern	NOUN
easat-4929	152	26	and	and	CCONJ
easat-4929	152	27	there	there	PRON
easat-4929	152	28	were	be	VERB
easat-4929	152	29	a	a	DET
easat-4929	152	30	small	small	ADJ
easat-4929	152	31	number	number	NOUN
easat-4929	152	32	of	of	ADP
easat-4929	152	33	cases	case	NOUN
easat-4929	152	34	(	(	PUNCT
easat-4929	152	35	5	5	NUM
easat-4929	152	36	)	)	PUNCT
easat-4929	152	37	,	,	PUNCT
easat-4929	152	38	we	we	PRON
easat-4929	152	39	dropped	drop	VERB
easat-4929	152	40	this	this	DET
easat-4929	152	41	category	category	NOUN
easat-4929	152	42	to	to	PART
easat-4929	152	43	maintain	maintain	VERB
easat-4929	152	44	the	the	DET
easat-4929	152	45	model	model	NOUN
easat-4929	152	46	's	's	PART
easat-4929	152	47	focus	focus	NOUN
easat-4929	152	48	on	on	ADP
easat-4929	152	49	more	more	ADV
easat-4929	152	50	relevant	relevant	ADJ
easat-4929	152	51	patient	patient	ADJ
easat-4929	152	52	data	datum	NOUN
easat-4929	152	53	.	.	PUNCT
easat-4929	153	1	specific	specific	ADJ
easat-4929	153	2	categories	category	NOUN
easat-4929	153	3	like	like	ADP
easat-4929	153	4	'	'	PUNCT
easat-4929	153	5	expired	expire	VERB
easat-4929	153	6	'	'	PUNCT
easat-4929	153	7	and	and	CCONJ
easat-4929	153	8	'	'	PUNCT
easat-4929	153	9	hospice	hospice	NOUN
easat-4929	153	10	'	'	PUNCT
easat-4929	153	11	in	in	ADP
easat-4929	153	12	‘	'	PUNCT
easat-4929	153	13	discharge_disposition_id	discharge_disposition_id	PROPN
easat-4929	153	14	'	'	PUNCT
easat-4929	153	15	were	be	AUX
easat-4929	153	16	excluded	exclude	VERB
easat-4929	153	17	because	because	SCONJ
easat-4929	153	18	they	they	PRON
easat-4929	153	19	represent	represent	VERB
easat-4929	153	20	patients	patient	NOUN
easat-4929	153	21	who	who	PRON
easat-4929	153	22	are	be	AUX
easat-4929	153	23	not	not	PART
easat-4929	153	24	expected	expect	VERB
easat-4929	153	25	to	to	PART
easat-4929	153	26	be	be	AUX
easat-4929	153	27	readmitted	readmitte	VERB
easat-4929	153	28	.	.	PUNCT
easat-4929	154	1	the	the	DET
easat-4929	154	2	data	datum	NOUN
easat-4929	154	3	had	have	VERB
easat-4929	154	4	to	to	PART
easat-4929	154	5	be	be	AUX
easat-4929	154	6	prepared	prepare	VERB
easat-4929	154	7	for	for	ADP
easat-4929	154	8	ml	ml	NOUN
easat-4929	154	9	models	model	NOUN
easat-4929	154	10	and	and	CCONJ
easat-4929	154	11	the	the	DET
easat-4929	154	12	others	other	NOUN
easat-4929	154	13	.	.	PUNCT
easat-4929	155	1	the	the	DET
easat-4929	155	2	target	target	NOUN
easat-4929	155	3	variable	variable	NOUN
easat-4929	155	4	'	'	PUNCT
easat-4929	155	5	readmitted	readmitte	VERB
easat-4929	155	6	'	'	PUNCT
easat-4929	155	7	was	be	AUX
easat-4929	155	8	binary	binary	NOUN
easat-4929	155	9	encoded	encode	VERB
easat-4929	155	10	to	to	PART
easat-4929	155	11	distinguish	distinguish	VERB
easat-4929	155	12	between	between	ADP
easat-4929	155	13	patients	patient	NOUN
easat-4929	155	14	readmitted	readmitte	VERB
easat-4929	155	15	within	within	ADP
easat-4929	155	16	30	30	NUM
easat-4929	155	17	days	day	NOUN
easat-4929	155	18	(	(	PUNCT
easat-4929	155	19	encoded	encode	VERB
easat-4929	155	20	as	as	ADP
easat-4929	155	21	1	1	NUM
easat-4929	155	22	)	)	PUNCT
easat-4929	155	23	and	and	CCONJ
easat-4929	155	24	those	those	PRON
easat-4929	155	25	not	not	PART
easat-4929	155	26	(	(	PUNCT
easat-4929	155	27	encoded	encode	VERB
easat-4929	155	28	as	as	ADP
easat-4929	155	29	0	0	NUM
easat-4929	155	30	)	)	PUNCT
easat-4929	155	31	.	.	PUNCT
easat-4929	156	1	this	this	DET
easat-4929	156	2	method	method	NOUN
easat-4929	156	3	simplifies	simplify	VERB
easat-4929	156	4	the	the	DET
easat-4929	156	5	model	model	NOUN
easat-4929	156	6	's	's	PART
easat-4929	156	7	task	task	NOUN
easat-4929	156	8	of	of	ADP
easat-4929	156	9	predicting	predict	VERB
easat-4929	156	10	readmission	readmission	NOUN
easat-4929	156	11	.	.	PUNCT
easat-4929	157	1	one	one	NUM
easat-4929	157	2	-	-	PUNCT
easat-4929	157	3	hot	hot	ADJ
easat-4929	157	4	encoding	encoding	NOUN
easat-4929	157	5	was	be	AUX
easat-4929	157	6	applied	apply	VERB
easat-4929	157	7	to	to	ADP
easat-4929	157	8	the	the	DET
easat-4929	157	9	'	'	PUNCT
easat-4929	157	10	race	race	NOUN
easat-4929	157	11	'	'	PUNCT
easat-4929	157	12	variable	variable	NOUN
easat-4929	157	13	,	,	PUNCT
easat-4929	157	14	after	after	ADP
easat-4929	157	15	adding	add	VERB
easat-4929	157	16	a	a	DET
easat-4929	157	17	new	new	ADJ
easat-4929	157	18	category	category	NOUN
easat-4929	157	19	"	"	PUNCT
easat-4929	157	20	unk	unk	NOUN
easat-4929	157	21	"	"	PUNCT
easat-4929	157	22	(	(	PUNCT
easat-4929	157	23	unknown	unknown	ADJ
easat-4929	157	24	)	)	PUNCT
easat-4929	157	25	introduced	introduce	VERB
easat-4929	157	26	to	to	PART
easat-4929	157	27	handle	handle	VERB
easat-4929	157	28	missing	miss	VERB
easat-4929	157	29	values	value	NOUN
easat-4929	157	30	.	.	PUNCT
easat-4929	158	1	this	this	PRON
easat-4929	158	2	ensures	ensure	VERB
easat-4929	158	3	the	the	DET
easat-4929	158	4	model	model	NOUN
easat-4929	158	5	treats	treat	VERB
easat-4929	158	6	each	each	DET
easat-4929	158	7	race	race	NOUN
easat-4929	158	8	as	as	ADP
easat-4929	158	9	a	a	DET
easat-4929	158	10	separate	separate	ADJ
easat-4929	158	11	binary	binary	ADJ
easat-4929	158	12	feature	feature	NOUN
easat-4929	158	13	,	,	PUNCT
easat-4929	158	14	avoiding	avoid	VERB
easat-4929	158	15	unintended	unintended	ADJ
easat-4929	158	16	ordinal	ordinal	ADJ
easat-4929	158	17	relationships	relationship	NOUN
easat-4929	158	18	.	.	PUNCT
easat-4929	159	1	the	the	DET
easat-4929	159	2	'	'	PUNCT
easat-4929	159	3	gender	gender	NOUN
easat-4929	159	4	'	'	PUNCT
easat-4929	159	5	variable	variable	NOUN
easat-4929	159	6	,	,	PUNCT
easat-4929	159	7	initially	initially	ADV
easat-4929	159	8	consisting	consist	VERB
easat-4929	159	9	of	of	ADP
easat-4929	159	10	three	three	NUM
easat-4929	159	11	categories	category	NOUN
easat-4929	159	12	(	(	PUNCT
easat-4929	159	13	female	female	ADJ
easat-4929	159	14	,	,	PUNCT
easat-4929	159	15	male	male	NOUN
easat-4929	159	16	,	,	PUNCT
easat-4929	159	17	unknown	unknown	ADJ
easat-4929	159	18	/	/	SYM
easat-4929	159	19	invalid	invalid	ADJ
easat-4929	159	20	)	)	PUNCT
easat-4929	159	21	,	,	PUNCT
easat-4929	159	22	was	be	AUX
easat-4929	159	23	simplified	simplify	VERB
easat-4929	159	24	by	by	ADP
easat-4929	159	25	dropping	drop	VERB
easat-4929	159	26	the	the	DET
easat-4929	159	27	'	'	PUNCT
easat-4929	159	28	unknown	unknown	ADJ
easat-4929	159	29	/	/	SYM
easat-4929	159	30	invalid	invalid	ADJ
easat-4929	159	31	'	'	PUNCT
easat-4929	159	32	category	category	NOUN
easat-4929	159	33	because	because	SCONJ
easat-4929	159	34	it	it	PRON
easat-4929	159	35	had	have	VERB
easat-4929	159	36	just	just	ADV
easat-4929	159	37	one	one	NUM
easat-4929	159	38	value	value	NOUN
easat-4929	159	39	,	,	PUNCT
easat-4929	159	40	making	make	VERB
easat-4929	159	41	it	it	PRON
easat-4929	159	42	insignificant	insignificant	ADJ
easat-4929	159	43	.	.	PUNCT
easat-4929	160	1	binary	binary	PROPN
easat-4929	160	2	encoding	encoding	NOUN
easat-4929	160	3	was	be	AUX
easat-4929	160	4	applied	apply	VERB
easat-4929	160	5	for	for	ADP
easat-4929	160	6	the	the	DET
easat-4929	160	7	remaining	remain	VERB
easat-4929	160	8	categories	category	NOUN
easat-4929	160	9	,	,	PUNCT
easat-4929	160	10	where	where	SCONJ
easat-4929	160	11	female	female	NOUN
easat-4929	160	12	was	be	AUX
easat-4929	160	13	encoded	encode	VERB
easat-4929	160	14	as	as	ADP
easat-4929	160	15	0	0	NUM
easat-4929	160	16	and	and	CCONJ
easat-4929	160	17	'	'	PUNCT
easat-4929	160	18	male	male	NOUN
easat-4929	160	19	'	'	PUNCT
easat-4929	160	20	was	be	AUX
easat-4929	160	21	encoded	encode	VERB
easat-4929	160	22	as	as	ADP
easat-4929	160	23	1	1	NUM
easat-4929	160	24	.	.	PUNCT
easat-4929	161	1	the	the	DET
easat-4929	161	2	'	'	PUNCT
easat-4929	161	3	age	age	NOUN
easat-4929	161	4	'	'	PUNCT
easat-4929	161	5	feature	feature	NOUN
easat-4929	161	6	,	,	PUNCT
easat-4929	161	7	originally	originally	ADV
easat-4929	161	8	categorical	categorical	ADJ
easat-4929	161	9	,	,	PUNCT
easat-4929	161	10	was	be	AUX
easat-4929	161	11	converted	convert	VERB
easat-4929	161	12	to	to	ADP
easat-4929	161	13	numerical	numerical	ADJ
easat-4929	161	14	values	value	NOUN
easat-4929	161	15	representing	represent	VERB
easat-4929	161	16	the	the	DET
easat-4929	161	17	lower	low	ADJ
easat-4929	161	18	bounds	bound	NOUN
easat-4929	161	19	of	of	ADP
easat-4929	161	20	each	each	DET
easat-4929	161	21	age	age	NOUN
easat-4929	161	22	range	range	NOUN
easat-4929	161	23	.	.	PUNCT
easat-4929	162	1	this	this	PRON
easat-4929	162	2	preserves	preserve	VERB
easat-4929	162	3	the	the	DET
easat-4929	162	4	ordinal	ordinal	ADJ
easat-4929	162	5	nature	nature	NOUN
easat-4929	162	6	of	of	ADP
easat-4929	162	7	the	the	DET
easat-4929	162	8	data	datum	NOUN
easat-4929	162	9	,	,	PUNCT
easat-4929	162	10	making	make	VERB
easat-4929	162	11	it	it	PRON
easat-4929	162	12	suitable	suitable	ADJ
easat-4929	162	13	for	for	ADP
easat-4929	162	14	modelling	modelling	NOUN
easat-4929	162	15	.	.	PUNCT
easat-4929	163	1	for	for	ADP
easat-4929	163	2	the	the	DET
easat-4929	163	3	'	'	PUNCT
easat-4929	163	4	max_glu_serum	max_glu_serum	NOUN
easat-4929	163	5	'	'	PUNCT
easat-4929	163	6	feature	feature	NOUN
easat-4929	163	7	,	,	PUNCT
easat-4929	163	8	the	the	DET
easat-4929	163	9	categorical	categorical	ADJ
easat-4929	163	10	values	value	NOUN
easat-4929	163	11	were	be	AUX
easat-4929	163	12	numerically	numerically	ADV
easat-4929	163	13	encoded	encode	VERB
easat-4929	163	14	.	.	PUNCT
easat-4929	164	1	'	'	PUNCT
easat-4929	164	2	none	none	NOUN
easat-4929	164	3	'	'	PUNCT
easat-4929	164	4	was	be	AUX
easat-4929	164	5	replaced	replace	VERB
easat-4929	164	6	with	with	ADP
easat-4929	164	7	a	a	DET
easat-4929	164	8	placeholder	placeholder	NOUN
easat-4929	164	9	value	value	NOUN
easat-4929	164	10	(	(	PUNCT
easat-4929	164	11	-99	-99	NUM
easat-4929	164	12	)	)	PUNCT
easat-4929	164	13	to	to	PART
easat-4929	164	14	signify	signify	VERB
easat-4929	164	15	no	no	DET
easat-4929	164	16	test	test	NOUN
easat-4929	164	17	was	be	AUX
easat-4929	164	18	conducted	conduct	VERB
easat-4929	164	19	.	.	PUNCT
easat-4929	165	1	the	the	DET
easat-4929	165	2	values	value	NOUN
easat-4929	165	3	'	'	X
easat-4929	165	4	>	>	NOUN
easat-4929	165	5	200	200	NUM
easat-4929	165	6	'	'	PUNCT
easat-4929	165	7	and	and	CCONJ
easat-4929	165	8	'	'	PUNCT
easat-4929	165	9	>	>	NOUN
easat-4929	165	10	300	300	NUM
easat-4929	165	11	'	'	PUNCT
easat-4929	165	12	were	be	AUX
easat-4929	165	13	both	both	PRON
easat-4929	165	14	encoded	encode	VERB
easat-4929	165	15	as	as	ADP
easat-4929	165	16	1	1	NUM
easat-4929	165	17	to	to	PART
easat-4929	165	18	represent	represent	VERB
easat-4929	165	19	high	high	ADJ
easat-4929	165	20	glucose	glucose	NOUN
easat-4929	165	21	levels	level	NOUN
easat-4929	165	22	.	.	PUNCT
easat-4929	166	1	'	'	PUNCT
easat-4929	166	2	norm	norm	NOUN
easat-4929	166	3	'	'	PUNCT
easat-4929	166	4	was	be	AUX
easat-4929	166	5	encoded	encode	VERB
easat-4929	166	6	as	as	ADP
easat-4929	166	7	0	0	NUM
easat-4929	166	8	to	to	PART
easat-4929	166	9	indicate	indicate	VERB
easat-4929	166	10	normal	normal	ADJ
easat-4929	166	11	glucose	glucose	NOUN
easat-4929	166	12	levels	level	NOUN
easat-4929	166	13	.	.	PUNCT
easat-4929	167	1	additionally	additionally	ADV
easat-4929	167	2	,	,	PUNCT
easat-4929	167	3	an	an	DET
easat-4929	167	4	indicator	indicator	NOUN
easat-4929	167	5	feature	feature	NOUN
easat-4929	167	6	named	name	VERB
easat-4929	167	7	'	'	PUNCT
easat-4929	167	8	max_glu_serum_not_taken	max_glu_serum_not_taken	PROPN
easat-4929	167	9	'	'	PUNCT
easat-4929	167	10	was	be	AUX
easat-4929	167	11	created	create	VERB
easat-4929	167	12	to	to	ADP
easat-4929	167	13	flag	flag	NOUN
easat-4929	167	14	records	record	NOUN
easat-4929	167	15	where	where	SCONJ
easat-4929	167	16	no	no	DET
easat-4929	167	17	glucose	glucose	NOUN
easat-4929	167	18	serum	serum	NOUN
easat-4929	167	19	test	test	NOUN
easat-4929	167	20	was	be	AUX
easat-4929	167	21	conducted	conduct	VERB
easat-4929	167	22	.	.	PUNCT
easat-4929	168	1	this	this	DET
easat-4929	168	2	binary	binary	ADJ
easat-4929	168	3	feature	feature	NOUN
easat-4929	168	4	was	be	AUX
easat-4929	168	5	set	set	VERB
easat-4929	168	6	to	to	ADP
easat-4929	168	7	1	1	NUM
easat-4929	168	8	when	when	SCONJ
easat-4929	168	9	the	the	DET
easat-4929	168	10	test	test	NOUN
easat-4929	168	11	was	be	AUX
easat-4929	168	12	not	not	PART
easat-4929	168	13	taken	take	VERB
easat-4929	168	14	and	and	CCONJ
easat-4929	168	15	0	0	NUM
easat-4929	168	16	otherwise	otherwise	ADV
easat-4929	168	17	,	,	PUNCT
easat-4929	168	18	ensuring	ensure	VERB
easat-4929	168	19	that	that	SCONJ
easat-4929	168	20	the	the	DET
easat-4929	168	21	absence	absence	NOUN
easat-4929	168	22	of	of	ADP
easat-4929	168	23	data	datum	NOUN
easat-4929	168	24	was	be	AUX
easat-4929	168	25	captured	capture	VERB
easat-4929	168	26	in	in	ADP
easat-4929	168	27	the	the	DET
easat-4929	168	28	model	model	NOUN
easat-4929	168	29	.	.	PUNCT
easat-4929	169	1	a1cresult	a1cresult	PROPN
easat-4929	169	2	feature	feature	NOUN
easat-4929	169	3	was	be	AUX
easat-4929	169	4	similarly	similarly	ADV
easat-4929	169	5	transformed	transform	VERB
easat-4929	169	6	to	to	PART
easat-4929	169	7	ensure	ensure	VERB
easat-4929	169	8	it	it	PRON
easat-4929	169	9	was	be	AUX
easat-4929	169	10	compatible	compatible	ADJ
easat-4929	169	11	with	with	ADP
easat-4929	169	12	the	the	DET
easat-4929	169	13	model	model	NOUN
easat-4929	169	14	.	.	PUNCT
easat-4929	170	1	'	'	PUNCT
easat-4929	170	2	none	none	NOUN
easat-4929	170	3	'	'	PUNCT
easat-4929	170	4	was	be	AUX
easat-4929	170	5	replaced	replace	VERB
easat-4929	170	6	with	with	ADP
easat-4929	170	7	a	a	DET
easat-4929	170	8	placeholder	placeholder	NOUN
easat-4929	170	9	value	value	NOUN
easat-4929	170	10	of	of	ADP
easat-4929	170	11	-99	-99	PUNCT
easat-4929	170	12	to	to	PART
easat-4929	170	13	signify	signify	VERB
easat-4929	170	14	missing	missing	ADJ
easat-4929	170	15	or	or	CCONJ
easat-4929	170	16	exceptional	exceptional	ADJ
easat-4929	170	17	cases	case	NOUN
easat-4929	170	18	.	.	PUNCT
easat-4929	171	1	'	'	PUNCT
easat-4929	172	1	>	>	PUNCT
easat-4929	172	2	8	8	NUM
easat-4929	172	3	'	'	PUNCT
easat-4929	172	4	and	and	CCONJ
easat-4929	172	5	'	'	PUNCT
easat-4929	172	6	>	>	X
easat-4929	172	7	7	7	NUM
easat-4929	172	8	'	'	PUNCT
easat-4929	172	9	were	be	AUX
easat-4929	172	10	encoded	encode	VERB
easat-4929	172	11	as	as	ADP
easat-4929	172	12	1	1	NUM
easat-4929	172	13	,	,	PUNCT
easat-4929	172	14	representing	represent	VERB
easat-4929	172	15	elevated	elevate	VERB
easat-4929	172	16	a1c	a1c	PROPN
easat-4929	172	17	levels	level	NOUN
easat-4929	172	18	indicative	indicative	ADJ
easat-4929	172	19	of	of	ADP
easat-4929	172	20	diabetes	diabetes	NOUN
easat-4929	172	21	.	.	PUNCT
easat-4929	173	1	'	'	PUNCT
easat-4929	173	2	norm	norm	NOUN
easat-4929	173	3	'	'	PUNCT
easat-4929	173	4	was	be	AUX
easat-4929	173	5	encoded	encode	VERB
easat-4929	173	6	as	as	ADP
easat-4929	173	7	0	0	NUM
easat-4929	173	8	to	to	PART
easat-4929	173	9	represent	represent	VERB
easat-4929	173	10	normal	normal	ADJ
easat-4929	173	11	a1c	a1c	PROPN
easat-4929	173	12	levels	level	NOUN
easat-4929	173	13	.	.	PUNCT
easat-4929	174	1	also	also	ADV
easat-4929	174	2	,	,	PUNCT
easat-4929	174	3	an	an	DET
easat-4929	174	4	indicator	indicator	NOUN
easat-4929	174	5	feature	feature	NOUN
easat-4929	174	6	named	name	VERB
easat-4929	174	7	a1cresult_not_taken	a1cresult_not_taken	PROPN
easat-4929	174	8	was	be	AUX
easat-4929	174	9	created	create	VERB
easat-4929	174	10	.	.	PUNCT
easat-4929	175	1	it	it	PRON
easat-4929	175	2	was	be	AUX
easat-4929	175	3	set	set	VERB
easat-4929	175	4	to	to	ADP
easat-4929	175	5	1	1	NUM
easat-4929	175	6	when	when	SCONJ
easat-4929	175	7	the	the	DET
easat-4929	175	8	a1c	a1c	PROPN
easat-4929	175	9	test	test	NOUN
easat-4929	175	10	was	be	AUX
easat-4929	175	11	not	not	PART
easat-4929	175	12	conducted	conduct	VERB
easat-4929	175	13	and	and	CCONJ
easat-4929	175	14	0	0	NUM
easat-4929	175	15	otherwise	otherwise	ADV
easat-4929	175	16	.	.	PUNCT
easat-4929	176	1	the	the	DET
easat-4929	176	2	'	'	PUNCT
easat-4929	176	3	change	change	NOUN
easat-4929	176	4	'	'	PUNCT
easat-4929	176	5	and	and	CCONJ
easat-4929	176	6	'	'	PUNCT
easat-4929	176	7	diabetesmed	diabetesme	VERB
easat-4929	176	8	'	'	PUNCT
easat-4929	176	9	features	feature	NOUN
easat-4929	176	10	were	be	AUX
easat-4929	176	11	encoded	encode	VERB
easat-4929	176	12	to	to	ADP
easat-4929	176	13	binary	binary	ADJ
easat-4929	176	14	values	value	NOUN
easat-4929	176	15	for	for	ADP
easat-4929	176	16	model	model	NOUN
easat-4929	176	17	compatibility	compatibility	NOUN
easat-4929	176	18	.	.	PUNCT
easat-4929	177	1	the	the	DET
easat-4929	177	2	change	change	NOUN
easat-4929	177	3	feature	feature	NOUN
easat-4929	177	4	was	be	AUX
easat-4929	177	5	encoded	encode	VERB
easat-4929	177	6	to	to	ADP
easat-4929	177	7	0	0	NUM
easat-4929	177	8	for	for	ADP
easat-4929	177	9	'	'	PUNCT
easat-4929	177	10	no	no	NOUN
easat-4929	177	11	'	'	PUNCT
easat-4929	177	12	and	and	CCONJ
easat-4929	177	13	1	1	NUM
easat-4929	177	14	for	for	ADP
easat-4929	177	15	'	'	PUNCT
easat-4929	177	16	ch	ch	NOUN
easat-4929	177	17	,	,	PUNCT
easat-4929	177	18	'	'	PUNCT
easat-4929	177	19	representing	represent	VERB
easat-4929	177	20	whether	whether	SCONJ
easat-4929	177	21	a	a	DET
easat-4929	177	22	change	change	NOUN
easat-4929	177	23	in	in	ADP
easat-4929	177	24	medication	medication	NOUN
easat-4929	177	25	was	be	AUX
easat-4929	177	26	made	make	VERB
easat-4929	177	27	.	.	PUNCT
easat-4929	178	1	similarly	similarly	ADV
easat-4929	178	2	,	,	PUNCT
easat-4929	178	3	the	the	DET
easat-4929	178	4	diabetesmed	diabetesme	VERB
easat-4929	178	5	feature	feature	NOUN
easat-4929	178	6	was	be	AUX
easat-4929	178	7	encoded	encode	VERB
easat-4929	178	8	to	to	ADP
easat-4929	178	9	1	1	NUM
easat-4929	178	10	for	for	ADP
easat-4929	178	11	'	'	PUNCT
easat-4929	178	12	yes	yes	NOUN
easat-4929	178	13	'	'	PUNCT
easat-4929	178	14	and	and	CCONJ
easat-4929	178	15	0	0	NUM
easat-4929	178	16	for	for	ADP
easat-4929	178	17	'	'	PUNCT
easat-4929	178	18	no	no	INTJ
easat-4929	178	19	,	,	PUNCT
easat-4929	178	20	'	'	PUNCT
easat-4929	178	21	indicating	indicate	VERB
easat-4929	178	22	whether	whether	SCONJ
easat-4929	178	23	the	the	DET
easat-4929	178	24	patient	patient	NOUN
easat-4929	178	25	was	be	AUX
easat-4929	178	26	on	on	ADP
easat-4929	178	27	diabetes	diabetes	NOUN
easat-4929	178	28	medication	medication	NOUN
easat-4929	178	29	.	.	PUNCT
easat-4929	179	1	grouping	group	VERB
easat-4929	179	2	features	feature	NOUN
easat-4929	179	3	was	be	AUX
easat-4929	179	4	the	the	DET
easat-4929	179	5	next	next	ADJ
easat-4929	179	6	step	step	NOUN
easat-4929	179	7	following	follow	VERB
easat-4929	179	8	preprocessing	preprocesse	VERB
easat-4929	179	9	.	.	PUNCT
easat-4929	180	1	1810	1810	NUM
easat-4929	180	2	edelweiss	edelweiss	PROPN
easat-4929	180	3	applied	apply	VERB
easat-4929	180	4	science	science	NOUN
easat-4929	180	5	and	and	CCONJ
easat-4929	180	6	technology	technology	NOUN
easat-4929	180	7	issn	issn	PROPN
easat-4929	180	8	:	:	PUNCT
easat-4929	180	9	2576	2576	NUM
easat-4929	180	10	-	-	SYM
easat-4929	180	11	8484	8484	NUM
easat-4929	180	12	vol	vol	NOUN
easat-4929	180	13	.	.	PROPN
easat-4929	181	1	9	9	NUM
easat-4929	181	2	,	,	PUNCT
easat-4929	181	3	no	no	INTJ
easat-4929	181	4	.	.	NOUN
easat-4929	181	5	2	2	NUM
easat-4929	181	6	:	:	SYM
easat-4929	181	7	1803	1803	NUM
easat-4929	181	8	-	-	SYM
easat-4929	181	9	1829	1829	NUM
easat-4929	181	10	,	,	PUNCT
easat-4929	181	11	2025	2025	NUM
easat-4929	181	12	doi	doi	NOUN
easat-4929	181	13	:	:	PUNCT
easat-4929	181	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	181	15	©	©	PROPN
easat-4929	181	16	2025	2025	NUM
easat-4929	181	17	by	by	ADP
easat-4929	181	18	the	the	DET
easat-4929	181	19	authors	author	NOUN
easat-4929	181	20	;	;	PUNCT
easat-4929	181	21	licensee	licensee	PROPN
easat-4929	181	22	learning	learn	VERB
easat-4929	181	23	gate	gate	PROPN
easat-4929	181	24	figure	figure	NOUN
easat-4929	181	25	3	3	NUM
easat-4929	181	26	.	.	PUNCT
easat-4929	182	1	distribution	distribution	NOUN
easat-4929	182	2	of	of	ADP
easat-4929	182	3	readmission	readmission	NOUN
easat-4929	182	4	status	status	NOUN
easat-4929	182	5	after	after	ADP
easat-4929	182	6	encoding	encode	VERB
easat-4929	182	7	.	.	PUNCT
easat-4929	183	1	features	feature	NOUN
easat-4929	183	2	were	be	AUX
easat-4929	183	3	grouped	group	VERB
easat-4929	183	4	into	into	ADP
easat-4929	183	5	categories	category	NOUN
easat-4929	183	6	based	base	VERB
easat-4929	183	7	on	on	ADP
easat-4929	183	8	their	their	PRON
easat-4929	183	9	relevance	relevance	NOUN
easat-4929	183	10	and	and	CCONJ
easat-4929	183	11	nature	nature	NOUN
easat-4929	183	12	.	.	PUNCT
easat-4929	184	1	an	an	DET
easat-4929	184	2	eda	eda	PROPN
easat-4929	184	3	report	report	NOUN
easat-4929	184	4	,	,	PUNCT
easat-4929	184	5	including	include	VERB
easat-4929	184	6	a	a	DET
easat-4929	184	7	distribution	distribution	NOUN
easat-4929	184	8	plot	plot	NOUN
easat-4929	184	9	was	be	AUX
easat-4929	184	10	created	create	VERB
easat-4929	184	11	by	by	ADP
easat-4929	184	12	the	the	DET
easat-4929	184	13	ydata	ydata	NOUN
easat-4929	184	14	profiling	profiling	NOUN
easat-4929	184	15	for	for	ADP
easat-4929	184	16	each	each	DET
easat-4929	184	17	feature	feature	NOUN
easat-4929	184	18	of	of	ADP
easat-4929	184	19	these	these	DET
easat-4929	184	20	grouped	group	VERB
easat-4929	184	21	categories	category	NOUN
easat-4929	184	22	:	:	PUNCT
easat-4929	184	23	•	•	NUM
easat-4929	184	24	identifiers	identifier	NOUN
easat-4929	184	25	for	for	ADP
easat-4929	184	26	patients	patient	NOUN
easat-4929	184	27	(	(	PUNCT
easat-4929	184	28	‘	'	PUNCT
easat-4929	184	29	encounter_id	encounter_id	PROPN
easat-4929	184	30	’	'	PUNCT
easat-4929	184	31	,	,	PUNCT
easat-4929	184	32	‘	'	PUNCT
easat-4929	184	33	patient_nbr	patient_nbr	NUM
easat-4929	184	34	’	'	PUNCT
easat-4929	184	35	)	)	PUNCT
easat-4929	184	36	.	.	PUNCT
easat-4929	185	1	•	•	NUM
easat-4929	185	2	visit	visit	NOUN
easat-4929	185	3	frequency	frequency	NOUN
easat-4929	185	4	(	(	PUNCT
easat-4929	185	5	‘	'	PUNCT
easat-4929	185	6	number_outpatient	number_outpatient	NOUN
easat-4929	185	7	’	'	PUNCT
easat-4929	185	8	,	,	PUNCT
easat-4929	185	9	‘	'	PUNCT
easat-4929	185	10	number_inpatient	number_inpatient	ADJ
easat-4929	185	11	’	'	PUNCT
easat-4929	185	12	,	,	PUNCT
easat-4929	185	13	‘	'	PUNCT
easat-4929	185	14	number_emergency	number_emergency	NOUN
easat-4929	185	15	’	'	PUNCT
easat-4929	185	16	)	)	PUNCT
easat-4929	185	17	.	.	PUNCT
easat-4929	186	1	•	•	NUM
easat-4929	186	2	patient	patient	NOUN
easat-4929	186	3	admission	admission	NOUN
easat-4929	186	4	details	detail	NOUN
easat-4929	186	5	(	(	PUNCT
easat-4929	186	6	‘	'	PUNCT
easat-4929	186	7	medical_specialty’,‘diag_1’,‘diag_2’,‘diag_3	medical_specialty’,‘diag_1’,‘diag_2’,‘diag_3	ADJ
easat-4929	186	8	’	'	PUNCT
easat-4929	186	9	,	,	PUNCT
easat-4929	186	10	‘	'	PUNCT
easat-4929	186	11	time_in_hospital’,‘number_diagnoses’,‘num_lab_procedures’,‘num_procedures’,‘num_medications	time_in_hospital’,‘number_diagnoses’,‘num_lab_procedures’,‘num_procedures’,‘num_medication	NOUN
easat-4929	186	12	’	'	PUNCT
easat-4929	186	13	)	)	PUNCT
easat-4929	186	14	.	.	PUNCT
easat-4929	187	1	in	in	ADP
easat-4929	187	2	the	the	DET
easat-4929	187	3	univariate	univariate	ADJ
easat-4929	187	4	analysis	analysis	NOUN
easat-4929	187	5	for	for	ADP
easat-4929	187	6	patient	patient	ADJ
easat-4929	187	7	demographics	demographic	NOUN
easat-4929	187	8	,	,	PUNCT
easat-4929	187	9	we	we	PRON
easat-4929	187	10	considered	consider	VERB
easat-4929	187	11	:	:	PUNCT
easat-4929	187	12	race	race	NOUN
easat-4929	187	13	,	,	PUNCT
easat-4929	187	14	gender	gender	NOUN
easat-4929	187	15	,	,	PUNCT
easat-4929	187	16	age	age	NOUN
easat-4929	187	17	,	,	PUNCT
easat-4929	187	18	payer	payer	NOUN
easat-4929	187	19	code	code	PROPN
easat-4929	187	20	,	,	PUNCT
easat-4929	187	21	and	and	CCONJ
easat-4929	187	22	weight	weight	NOUN
easat-4929	187	23	.	.	PUNCT
easat-4929	188	1	during	during	ADP
easat-4929	188	2	this	this	DET
easat-4929	188	3	analysis	analysis	NOUN
easat-4929	188	4	we	we	PRON
easat-4929	188	5	found	find	VERB
easat-4929	188	6	as	as	ADP
easat-4929	188	7	follow	follow	NOUN
easat-4929	188	8	:	:	PUNCT
easat-4929	188	9	race	race	VERB
easat-4929	188	10	the	the	DET
easat-4929	188	11	majority	majority	NOUN
easat-4929	188	12	of	of	ADP
easat-4929	188	13	the	the	DET
easat-4929	188	14	population	population	NOUN
easat-4929	188	15	in	in	ADP
easat-4929	188	16	the	the	DET
easat-4929	188	17	dataset	dataset	NOUN
easat-4929	188	18	is	be	AUX
easat-4929	188	19	caucasian	caucasian	ADJ
easat-4929	188	20	,	,	PUNCT
easat-4929	188	21	followed	follow	VERB
easat-4929	188	22	by	by	ADP
easat-4929	188	23	african	african	ADJ
easat-4929	188	24	american	american	PROPN
easat-4929	188	25	being	be	AUX
easat-4929	188	26	the	the	DET
easat-4929	188	27	second	second	ADV
easat-4929	188	28	largest	large	ADJ
easat-4929	188	29	racial	racial	ADJ
easat-4929	188	30	group	group	NOUN
easat-4929	188	31	in	in	ADP
easat-4929	188	32	this	this	DET
easat-4929	188	33	dataset	dataset	NOUN
easat-4929	188	34	.	.	PUNCT
easat-4929	189	1	a	a	DET
easat-4929	189	2	category	category	NOUN
easat-4929	189	3	labeled	label	VERB
easat-4929	189	4	'	'	PUNCT
easat-4929	189	5	?	?	PUNCT
easat-4929	189	6	'	'	PUNCT
easat-4929	189	7	also	also	ADV
easat-4929	189	8	indicates	indicate	VERB
easat-4929	189	9	missing	missing	ADJ
easat-4929	189	10	values	value	NOUN
easat-4929	189	11	,	,	PUNCT
easat-4929	189	12	which	which	PRON
easat-4929	189	13	will	will	AUX
easat-4929	189	14	be	be	AUX
easat-4929	189	15	addressed	address	VERB
easat-4929	189	16	during	during	ADP
easat-4929	189	17	the	the	DET
easat-4929	189	18	data	datum	NOUN
easat-4929	189	19	cleaning	cleaning	NOUN
easat-4929	189	20	phase	phase	NOUN
easat-4929	189	21	.	.	PUNCT
easat-4929	190	1	gender	gender	NOUN
easat-4929	190	2	the	the	DET
easat-4929	190	3	data	data	NOUN
easat-4929	190	4	is	be	AUX
easat-4929	190	5	evenly	evenly	ADV
easat-4929	190	6	distributed	distribute	VERB
easat-4929	190	7	among	among	ADP
easat-4929	190	8	male	male	ADJ
easat-4929	190	9	and	and	CCONJ
easat-4929	190	10	female	female	ADJ
easat-4929	190	11	groups	group	NOUN
easat-4929	190	12	.	.	PUNCT
easat-4929	191	1	in	in	ADP
easat-4929	191	2	addition	addition	NOUN
easat-4929	191	3	,	,	PUNCT
easat-4929	191	4	"	"	PUNCT
easat-4929	191	5	unknown	unknown	ADJ
easat-4929	191	6	/	/	SYM
easat-4929	191	7	invalid	invalid	ADJ
easat-4929	191	8	entries	entry	NOUN
easat-4929	191	9	"	"	PUNCT
easat-4929	191	10	can	can	AUX
easat-4929	191	11	be	be	AUX
easat-4929	191	12	seen	see	VERB
easat-4929	191	13	.	.	PUNCT
easat-4929	192	1	age	age	NOUN
easat-4929	192	2	the	the	DET
easat-4929	192	3	dataset	dataset	NOUN
easat-4929	192	4	consists	consist	VERB
easat-4929	192	5	primarily	primarily	ADV
easat-4929	192	6	of	of	ADP
easat-4929	192	7	older	old	ADJ
easat-4929	192	8	patients	patient	NOUN
easat-4929	192	9	,	,	PUNCT
easat-4929	192	10	with	with	ADP
easat-4929	192	11	the	the	DET
easat-4929	192	12	largest	large	ADJ
easat-4929	192	13	age	age	NOUN
easat-4929	192	14	categories	category	NOUN
easat-4929	192	15	being	be	AUX
easat-4929	192	16	70	70	NUM
easat-4929	192	17	-	-	SYM
easat-4929	192	18	80	80	NUM
easat-4929	192	19	(	(	PUNCT
easat-4929	192	20	25.6	25.6	NUM
easat-4929	192	21	%	%	NOUN
easat-4929	192	22	)	)	PUNCT
easat-4929	192	23	and	and	CCONJ
easat-4929	192	24	60	60	NUM
easat-4929	192	25	-	-	SYM
easat-4929	192	26	70	70	NUM
easat-4929	192	27	(	(	PUNCT
easat-4929	192	28	22.1	22.1	NUM
easat-4929	192	29	%	%	NOUN
easat-4929	192	30	)	)	PUNCT
easat-4929	192	31	.	.	PUNCT
easat-4929	193	1	younger	young	ADJ
easat-4929	193	2	age	age	NOUN
easat-4929	193	3	groups	group	NOUN
easat-4929	193	4	are	be	AUX
easat-4929	193	5	under	under	ADV
easat-4929	193	6	-	-	PUNCT
easat-4929	193	7	represented	represent	VERB
easat-4929	193	8	,	,	PUNCT
easat-4929	193	9	indicating	indicate	VERB
easat-4929	193	10	a	a	DET
easat-4929	193	11	skew	skew	NOUN
easat-4929	193	12	towards	towards	ADP
easat-4929	193	13	an	an	DET
easat-4929	193	14	older	old	ADJ
easat-4929	193	15	population	population	NOUN
easat-4929	193	16	.	.	PUNCT
easat-4929	194	1	payer	payer	PROPN
easat-4929	194	2	code	code	VERB
easat-4929	194	3	the	the	DET
easat-4929	194	4	majority	majority	NOUN
easat-4929	194	5	of	of	ADP
easat-4929	194	6	payer	payer	NOUN
easat-4929	194	7	codes	code	NOUN
easat-4929	194	8	are	be	AUX
easat-4929	194	9	missing	miss	VERB
easat-4929	194	10	or	or	CCONJ
easat-4929	194	11	unknown	unknown	ADJ
easat-4929	194	12	,	,	PUNCT
easat-4929	194	13	represented	represent	VERB
easat-4929	194	14	by	by	ADP
easat-4929	194	15	the	the	DET
easat-4929	194	16	'	'	PUNCT
easat-4929	194	17	?	?	PUNCT
easat-4929	194	18	'	'	PUNCT
easat-4929	194	19	category	category	NOUN
easat-4929	194	20	,	,	PUNCT
easat-4929	194	21	which	which	PRON
easat-4929	194	22	accounts	account	VERB
easat-4929	194	23	for	for	ADP
easat-4929	194	24	the	the	DET
easat-4929	194	25	highest	high	ADJ
easat-4929	194	26	count	count	NOUN
easat-4929	194	27	.	.	PUNCT
easat-4929	195	1	among	among	ADP
easat-4929	195	2	the	the	DET
easat-4929	195	3	known	know	VERB
easat-4929	195	4	payer	payer	NOUN
easat-4929	195	5	codes	code	NOUN
easat-4929	195	6	,	,	PUNCT
easat-4929	195	7	'	'	PUNCT
easat-4929	195	8	mc	mc	X
easat-4929	195	9	'	'	PUNCT
easat-4929	195	10	(	(	PUNCT
easat-4929	195	11	medicare	medicare	PROPN
easat-4929	195	12	)	)	PUNCT
easat-4929	195	13	is	be	AUX
easat-4929	195	14	the	the	DET
easat-4929	195	15	most	most	ADV
easat-4929	195	16	common	common	ADJ
easat-4929	195	17	,	,	PUNCT
easat-4929	195	18	followed	follow	VERB
easat-4929	195	19	by	by	ADP
easat-4929	195	20	'	'	PUNCT
easat-4929	195	21	hm	hm	INTJ
easat-4929	195	22	'	'	PUNCT
easat-4929	195	23	(	(	PUNCT
easat-4929	195	24	health	health	NOUN
easat-4929	195	25	maintenance	maintenance	NOUN
easat-4929	195	26	organization	organization	NOUN
easat-4929	195	27	)	)	PUNCT
easat-4929	195	28	and	and	CCONJ
easat-4929	195	29	'	'	PUNCT
easat-4929	195	30	sp	sp	NOUN
easat-4929	195	31	'	'	PUNCT
easat-4929	195	32	(	(	PUNCT
easat-4929	195	33	self	self	NOUN
easat-4929	195	34	-	-	PUNCT
easat-4929	195	35	pay	pay	NOUN
easat-4929	195	36	)	)	PUNCT
easat-4929	195	37	.	.	PUNCT
easat-4929	196	1	weight	weight	NOUN
easat-4929	196	2	96.9	96.9	NUM
easat-4929	196	3	%	%	NOUN
easat-4929	196	4	of	of	ADP
easat-4929	196	5	rows	row	NOUN
easat-4929	196	6	in	in	ADP
easat-4929	196	7	the	the	DET
easat-4929	196	8	dataset	dataset	NOUN
easat-4929	196	9	have	have	VERB
easat-4929	196	10	a	a	DET
easat-4929	196	11	missing	missing	ADJ
easat-4929	196	12	or	or	CCONJ
easat-4929	196	13	unknown	unknown	ADJ
easat-4929	196	14	weight	weight	NOUN
easat-4929	196	15	.	.	PUNCT
easat-4929	197	1	this	this	DET
easat-4929	197	2	lack	lack	NOUN
easat-4929	197	3	of	of	ADP
easat-4929	197	4	recorded	record	VERB
easat-4929	197	5	weight	weight	NOUN
easat-4929	197	6	data	datum	NOUN
easat-4929	197	7	will	will	AUX
easat-4929	197	8	need	need	VERB
easat-4929	197	9	to	to	PART
easat-4929	197	10	be	be	AUX
easat-4929	197	11	addressed	address	VERB
easat-4929	197	12	during	during	ADP
easat-4929	197	13	data	datum	NOUN
easat-4929	197	14	cleaning	cleaning	NOUN
easat-4929	197	15	.	.	PUNCT
easat-4929	198	1	in	in	ADP
easat-4929	198	2	the	the	DET
easat-4929	198	3	bivariate	bivariate	ADJ
easat-4929	198	4	analysis	analysis	NOUN
easat-4929	198	5	for	for	ADP
easat-4929	198	6	patient	patient	ADJ
easat-4929	198	7	demographics	demographic	NOUN
easat-4929	198	8	,	,	PUNCT
easat-4929	198	9	we	we	PRON
easat-4929	198	10	have	have	AUX
easat-4929	198	11	considered	consider	VERB
easat-4929	198	12	relationship	relationship	NOUN
easat-4929	198	13	and	and	CCONJ
easat-4929	198	14	find	find	VERB
easat-4929	198	15	out	out	ADP
easat-4929	198	16	:	:	PUNCT
easat-4929	198	17	race	race	NOUN
easat-4929	198	18	vs	vs	ADP
easat-4929	198	19	readmitted	readmitte	VERB
easat-4929	198	20	the	the	DET
easat-4929	198	21	caucasian	caucasian	ADJ
easat-4929	198	22	group	group	NOUN
easat-4929	198	23	has	have	VERB
easat-4929	198	24	the	the	DET
easat-4929	198	25	highest	high	ADJ
easat-4929	198	26	number	number	NOUN
easat-4929	198	27	of	of	ADP
easat-4929	198	28	readmissions	readmission	NOUN
easat-4929	198	29	,	,	PUNCT
easat-4929	198	30	followed	follow	VERB
easat-4929	198	31	by	by	ADP
easat-4929	198	32	african	african	ADJ
easat-4929	198	33	americans	americans	PROPN
easat-4929	198	34	.	.	PUNCT
easat-4929	199	1	gender	gender	NOUN
easat-4929	199	2	vs	vs	ADP
easat-4929	199	3	readmitted	readmitte	VERB
easat-4929	199	4	most	most	ADJ
easat-4929	199	5	readmissions	readmission	NOUN
easat-4929	199	6	occur	occur	VERB
easat-4929	199	7	in	in	ADP
easat-4929	199	8	females	female	NOUN
easat-4929	199	9	,	,	PUNCT
easat-4929	199	10	with	with	ADP
easat-4929	199	11	males	male	NOUN
easat-4929	199	12	also	also	ADV
easat-4929	199	13	showing	show	VERB
easat-4929	199	14	substantial	substantial	ADJ
easat-4929	199	15	numbers	number	NOUN
easat-4929	199	16	.	.	PUNCT
easat-4929	200	1	age	age	NOUN
easat-4929	200	2	vs	vs	ADP
easat-4929	200	3	readmitted	readmitte	VERB
easat-4929	200	4	the	the	DET
easat-4929	200	5	age	age	NOUN
easat-4929	200	6	group	group	NOUN
easat-4929	200	7	70	70	NUM
easat-4929	200	8	-	-	SYM
easat-4929	200	9	80	80	NUM
easat-4929	200	10	has	have	VERB
easat-4929	200	11	the	the	DET
easat-4929	200	12	highest	high	ADJ
easat-4929	200	13	number	number	NOUN
easat-4929	200	14	of	of	ADP
easat-4929	200	15	readmissions	readmission	NOUN
easat-4929	200	16	,	,	PUNCT
easat-4929	200	17	followed	follow	VERB
easat-4929	200	18	closely	closely	ADV
easat-4929	200	19	by	by	ADP
easat-4929	200	20	60	60	NUM
easat-4929	200	21	-	-	SYM
easat-4929	200	22	70	70	NUM
easat-4929	200	23	and	and	CCONJ
easat-4929	200	24	80	80	NUM
easat-4929	200	25	-	-	SYM
easat-4929	200	26	90	90	NUM
easat-4929	200	27	.	.	PUNCT
easat-4929	201	1	younger	young	ADJ
easat-4929	201	2	and	and	CCONJ
easat-4929	201	3	older	old	ADJ
easat-4929	201	4	age	age	NOUN
easat-4929	201	5	groups	group	NOUN
easat-4929	201	6	show	show	VERB
easat-4929	201	7	fewer	few	ADJ
easat-4929	201	8	readmissions	readmission	NOUN
easat-4929	201	9	.	.	PUNCT
easat-4929	202	1	insulin	insulin	NOUN
easat-4929	202	2	vs	vs	ADP
easat-4929	202	3	readmitted	readmitte	VERB
easat-4929	202	4	patients	patient	NOUN
easat-4929	202	5	not	not	PART
easat-4929	202	6	on	on	ADP
easat-4929	202	7	insulin	insulin	NOUN
easat-4929	202	8	(	(	PUNCT
easat-4929	202	9	no	no	NOUN
easat-4929	202	10	)	)	PUNCT
easat-4929	202	11	have	have	VERB
easat-4929	202	12	the	the	DET
easat-4929	202	13	highest	high	ADJ
easat-4929	202	14	rates	rate	NOUN
easat-4929	202	15	of	of	ADP
easat-4929	202	16	readmission	readmission	NOUN
easat-4929	202	17	.	.	PUNCT
easat-4929	203	1	the	the	DET
easat-4929	203	2	steady	steady	ADJ
easat-4929	203	3	category	category	NOUN
easat-4929	203	4	also	also	ADV
easat-4929	203	5	has	have	VERB
easat-4929	203	6	many	many	ADJ
easat-4929	203	7	readmissions	readmission	NOUN
easat-4929	203	8	.	.	PUNCT
easat-4929	204	1	1811	1811	NUM
easat-4929	204	2	edelweiss	edelweiss	PROPN
easat-4929	204	3	applied	apply	VERB
easat-4929	204	4	science	science	NOUN
easat-4929	204	5	and	and	CCONJ
easat-4929	204	6	technology	technology	NOUN
easat-4929	204	7	issn	issn	PROPN
easat-4929	204	8	:	:	PUNCT
easat-4929	204	9	2576	2576	NUM
easat-4929	204	10	-	-	SYM
easat-4929	204	11	8484	8484	NUM
easat-4929	204	12	vol	vol	NOUN
easat-4929	204	13	.	.	PROPN
easat-4929	205	1	9	9	NUM
easat-4929	205	2	,	,	PUNCT
easat-4929	205	3	no	no	INTJ
easat-4929	205	4	.	.	NOUN
easat-4929	205	5	2	2	NUM
easat-4929	205	6	:	:	SYM
easat-4929	205	7	1803	1803	NUM
easat-4929	205	8	-	-	SYM
easat-4929	205	9	1829	1829	NUM
easat-4929	205	10	,	,	PUNCT
easat-4929	205	11	2025	2025	NUM
easat-4929	205	12	doi	doi	NOUN
easat-4929	205	13	:	:	PUNCT
easat-4929	205	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	205	15	©	©	PROPN
easat-4929	205	16	2025	2025	NUM
easat-4929	205	17	by	by	ADP
easat-4929	205	18	the	the	DET
easat-4929	205	19	authors	author	NOUN
easat-4929	205	20	;	;	PUNCT
easat-4929	205	21	licensee	licensee	NOUN
easat-4929	205	22	learning	learning	NOUN
easat-4929	205	23	gate	gate	NOUN
easat-4929	205	24	for	for	ADP
easat-4929	205	25	clinical	clinical	ADJ
easat-4929	205	26	results	result	NOUN
easat-4929	205	27	in	in	ADP
easat-4929	205	28	the	the	DET
easat-4929	205	29	bivariate	bivariate	NOUN
easat-4929	205	30	we	we	PRON
easat-4929	205	31	grouped	group	VERB
easat-4929	205	32	:	:	PUNCT
easat-4929	205	33	glucose	glucose	NOUN
easat-4929	205	34	serum	serum	NOUN
easat-4929	205	35	test	test	NOUN
easat-4929	205	36	vs	vs	ADP
easat-4929	205	37	readmitted	readmitte	VERB
easat-4929	205	38	-the	-the	DET
easat-4929	205	39	'	'	PUNCT
easat-4929	205	40	none	none	NOUN
easat-4929	205	41	'	'	PUNCT
easat-4929	205	42	category	category	NOUN
easat-4929	205	43	dominates	dominate	VERB
easat-4929	205	44	the	the	DET
easat-4929	205	45	readmissions	readmission	NOUN
easat-4929	205	46	,	,	PUNCT
easat-4929	205	47	indicating	indicate	VERB
easat-4929	205	48	most	most	ADJ
easat-4929	205	49	patients	patient	NOUN
easat-4929	205	50	did	do	AUX
easat-4929	205	51	not	not	PART
easat-4929	205	52	have	have	VERB
easat-4929	205	53	a	a	DET
easat-4929	205	54	recorded	record	VERB
easat-4929	205	55	max	max	PROPN
easat-4929	205	56	glu	glu	PROPN
easat-4929	205	57	serum	serum	NOUN
easat-4929	205	58	value	value	NOUN
easat-4929	205	59	.	.	PUNCT
easat-4929	206	1	the	the	DET
easat-4929	206	2	categories	category	NOUN
easat-4929	206	3	>	>	PUNCT
easat-4929	206	4	300	300	NUM
easat-4929	206	5	and	and	CCONJ
easat-4929	206	6	>	>	SYM
easat-4929	206	7	200	200	NUM
easat-4929	206	8	have	have	VERB
easat-4929	206	9	much	much	ADV
easat-4929	206	10	lower	low	ADJ
easat-4929	206	11	readmission	readmission	NOUN
easat-4929	206	12	counts	count	NOUN
easat-4929	206	13	.	.	PUNCT
easat-4929	207	1	a1cresult	a1cresult	VERB
easat-4929	207	2	vs	vs	ADP
easat-4929	207	3	readmitted	readmitte	VERB
easat-4929	207	4	the	the	DET
easat-4929	207	5	body	body	NOUN
easat-4929	207	6	's	's	PART
easat-4929	207	7	a1c	a1c	PROPN
easat-4929	207	8	levels	level	NOUN
easat-4929	207	9	are	be	AUX
easat-4929	207	10	a	a	DET
easat-4929	207	11	reliable	reliable	ADJ
easat-4929	207	12	predictor	predictor	NOUN
easat-4929	207	13	of	of	ADP
easat-4929	207	14	glucose	glucose	NOUN
easat-4929	207	15	levels	level	NOUN
easat-4929	207	16	.	.	PUNCT
easat-4929	208	1	the	the	DET
easat-4929	208	2	'	'	PUNCT
easat-4929	208	3	none	none	NOUN
easat-4929	208	4	'	'	PUNCT
easat-4929	208	5	category	category	NOUN
easat-4929	208	6	represents	represent	VERB
easat-4929	208	7	the	the	DET
easat-4929	208	8	majority	majority	NOUN
easat-4929	208	9	of	of	ADP
easat-4929	208	10	readmissions	readmission	NOUN
easat-4929	208	11	in	in	ADP
easat-4929	208	12	the	the	DET
easat-4929	208	13	data	datum	NOUN
easat-4929	208	14	set	set	VERB
easat-4929	208	15	.	.	PUNCT
easat-4929	209	1	the	the	DET
easat-4929	209	2	lack	lack	NOUN
easat-4929	209	3	of	of	ADP
easat-4929	209	4	data	datum	NOUN
easat-4929	209	5	on	on	ADP
easat-4929	209	6	this	this	DET
easat-4929	209	7	potentially	potentially	ADV
easat-4929	209	8	valuable	valuable	ADJ
easat-4929	209	9	feature	feature	NOUN
easat-4929	209	10	might	might	AUX
easat-4929	209	11	limit	limit	VERB
easat-4929	209	12	its	its	PRON
easat-4929	209	13	predictive	predictive	ADJ
easat-4929	209	14	power	power	NOUN
easat-4929	209	15	.	.	PUNCT
easat-4929	210	1	diabetesmed	diabetesme	VERB
easat-4929	210	2	vs.	vs.	ADP
easat-4929	210	3	readmitted	readmitte	VERB
easat-4929	210	4	patients	patient	NOUN
easat-4929	210	5	who	who	PRON
easat-4929	210	6	received	receive	VERB
easat-4929	210	7	diabetes	diabetes	NOUN
easat-4929	210	8	medication	medication	NOUN
easat-4929	210	9	were	be	AUX
easat-4929	210	10	more	more	ADV
easat-4929	210	11	likely	likely	ADJ
easat-4929	210	12	to	to	PART
easat-4929	210	13	not	not	PART
easat-4929	210	14	be	be	AUX
easat-4929	210	15	readmitted	readmitte	VERB
easat-4929	210	16	(	(	PUNCT
easat-4929	210	17	69,252	69,252	NUM
easat-4929	210	18	)	)	PUNCT
easat-4929	210	19	than	than	ADP
easat-4929	210	20	those	those	PRON
easat-4929	210	21	who	who	PRON
easat-4929	210	22	were	be	AUX
easat-4929	210	23	readmitted	readmitte	VERB
easat-4929	210	24	(	(	PUNCT
easat-4929	210	25	9,111	9,111	NUM
easat-4929	210	26	)	)	PUNCT
easat-4929	210	27	.	.	PUNCT
easat-4929	211	1	these	these	DET
easat-4929	211	2	results	result	NOUN
easat-4929	211	3	suggest	suggest	VERB
easat-4929	211	4	that	that	SCONJ
easat-4929	211	5	diabetes	diabetes	NOUN
easat-4929	211	6	medication	medication	NOUN
easat-4929	211	7	might	might	AUX
easat-4929	211	8	be	be	AUX
easat-4929	211	9	associated	associate	VERB
easat-4929	211	10	with	with	ADP
easat-4929	211	11	a	a	DET
easat-4929	211	12	lower	low	ADJ
easat-4929	211	13	readmission	readmission	NOUN
easat-4929	211	14	rate	rate	NOUN
easat-4929	211	15	.	.	PUNCT
easat-4929	212	1	now	now	ADV
easat-4929	212	2	let	let	VERB
easat-4929	212	3	's	us	PRON
easat-4929	212	4	give	give	VERB
easat-4929	212	5	in	in	ADP
easat-4929	212	6	this	this	DET
easat-4929	212	7	bivariate	bivariate	ADJ
easat-4929	212	8	analysis	analysis	NOUN
easat-4929	212	9	the	the	DET
easat-4929	212	10	findings	finding	NOUN
easat-4929	212	11	for	for	ADP
easat-4929	212	12	admission	admission	NOUN
easat-4929	212	13	and	and	CCONJ
easat-4929	212	14	discharge	discharge	VERB
easat-4929	212	15	details	detail	NOUN
easat-4929	212	16	according	accord	VERB
easat-4929	212	17	to	to	ADP
easat-4929	212	18	these	these	DET
easat-4929	212	19	relations	relation	NOUN
easat-4929	212	20	:	:	PUNCT
easat-4929	213	1	admission_source_id	admission_source_id	PROPN
easat-4929	213	2	vs	vs	ADP
easat-4929	213	3	readmitted	readmitte	VERB
easat-4929	213	4	the	the	DET
easat-4929	213	5	number	number	NOUN
easat-4929	213	6	of	of	ADP
easat-4929	213	7	patients	patient	NOUN
easat-4929	213	8	being	be	AUX
easat-4929	213	9	readmitted	readmitte	VERB
easat-4929	213	10	is	be	AUX
easat-4929	213	11	highest	high	ADJ
easat-4929	213	12	for	for	ADP
easat-4929	213	13	admission	admission	NOUN
easat-4929	213	14	source	source	NOUN
easat-4929	213	15	i	i	PROPN
easat-4929	213	16	d	d	PROPN
easat-4929	213	17	of	of	ADP
easat-4929	213	18	7	7	NUM
easat-4929	213	19	(	(	PUNCT
easat-4929	213	20	emergency	emergency	NOUN
easat-4929	213	21	room	room	NOUN
easat-4929	213	22	)	)	PUNCT
easat-4929	213	23	,	,	PUNCT
easat-4929	213	24	followed	follow	VERB
easat-4929	213	25	by	by	ADP
easat-4929	213	26	1	1	NUM
easat-4929	213	27	(	(	PUNCT
easat-4929	213	28	physician	physician	NOUN
easat-4929	213	29	referral	referral	NOUN
easat-4929	213	30	)	)	PUNCT
easat-4929	213	31	.	.	PUNCT
easat-4929	214	1	admission_type_id	admission_type_id	PROPN
easat-4929	214	2	vs	vs	SCONJ
easat-4929	214	3	readmitted	readmitte	VERB
easat-4929	214	4	the	the	DET
easat-4929	214	5	number	number	NOUN
easat-4929	214	6	of	of	ADP
easat-4929	214	7	patients	patient	NOUN
easat-4929	214	8	being	be	AUX
easat-4929	214	9	readmitted	readmitte	VERB
easat-4929	214	10	is	be	AUX
easat-4929	214	11	highest	high	ADJ
easat-4929	214	12	for	for	ADP
easat-4929	214	13	the	the	DET
easat-4929	214	14	admission	admission	NOUN
easat-4929	214	15	type	type	NOUN
easat-4929	215	1	i	i	PROPN
easat-4929	215	2	d	d	PROPN
easat-4929	215	3	of	of	ADP
easat-4929	215	4	1	1	NUM
easat-4929	215	5	(	(	PUNCT
easat-4929	215	6	emergency	emergency	NOUN
easat-4929	215	7	)	)	PUNCT
easat-4929	215	8	,	,	PUNCT
easat-4929	215	9	followed	follow	VERB
easat-4929	215	10	by	by	ADP
easat-4929	215	11	2	2	NUM
easat-4929	215	12	(	(	PUNCT
easat-4929	215	13	urgent	urgent	ADJ
easat-4929	215	14	)	)	PUNCT
easat-4929	215	15	and	and	CCONJ
easat-4929	215	16	3	3	NUM
easat-4929	215	17	(	(	PUNCT
easat-4929	215	18	elective	elective	NOUN
easat-4929	215	19	)	)	PUNCT
easat-4929	215	20	.	.	PUNCT
easat-4929	216	1	discharge_disposition_id	discharge_disposition_id	PROPN
easat-4929	216	2	vs	vs	ADP
easat-4929	216	3	readmitted	readmitte	VERB
easat-4929	216	4	the	the	DET
easat-4929	216	5	chart	chart	NOUN
easat-4929	216	6	shows	show	VERB
easat-4929	216	7	that	that	SCONJ
easat-4929	216	8	most	most	ADJ
easat-4929	216	9	readmissions	readmission	NOUN
easat-4929	216	10	occur	occur	VERB
easat-4929	216	11	in	in	ADP
easat-4929	216	12	discharge	discharge	NOUN
easat-4929	216	13	disposition	disposition	NOUN
easat-4929	216	14	ids	id	NOUN
easat-4929	216	15	1	1	NUM
easat-4929	216	16	(	(	PUNCT
easat-4929	216	17	discharged	discharge	VERB
easat-4929	216	18	to	to	ADP
easat-4929	216	19	home	home	NOUN
easat-4929	216	20	)	)	PUNCT
easat-4929	216	21	,	,	PUNCT
easat-4929	216	22	2	2	NUM
easat-4929	216	23	(	(	PUNCT
easat-4929	216	24	discharged	discharge	VERB
easat-4929	216	25	/	/	SYM
easat-4929	216	26	transferred	transfer	VERB
easat-4929	216	27	to	to	ADP
easat-4929	216	28	another	another	DET
easat-4929	216	29	short	short	ADJ
easat-4929	216	30	-	-	PUNCT
easat-4929	216	31	term	term	NOUN
easat-4929	216	32	hospital	hospital	NOUN
easat-4929	216	33	)	)	PUNCT
easat-4929	216	34	,	,	PUNCT
easat-4929	216	35	3(discharged	3(discharged	PROPN
easat-4929	216	36	/	/	SYM
easat-4929	216	37	transferred	transfer	VERB
easat-4929	216	38	to	to	ADP
easat-4929	216	39	snf	snf	PROPN
easat-4929	216	40	)	)	PUNCT
easat-4929	216	41	,	,	PUNCT
easat-4929	216	42	with	with	ADP
easat-4929	216	43	i	i	PROPN
easat-4929	216	44	d	d	PROPN
easat-4929	216	45	1	1	NUM
easat-4929	216	46	having	have	VERB
easat-4929	216	47	the	the	DET
easat-4929	216	48	highest	high	ADJ
easat-4929	216	49	number	number	NOUN
easat-4929	216	50	of	of	ADP
easat-4929	216	51	total	total	ADJ
easat-4929	216	52	discharges	discharge	NOUN
easat-4929	216	53	but	but	CCONJ
easat-4929	216	54	relatively	relatively	ADV
easat-4929	216	55	few	few	ADJ
easat-4929	216	56	readmissions	readmission	NOUN
easat-4929	216	57	.	.	PUNCT
easat-4929	217	1	the	the	DET
easat-4929	217	2	other	other	ADJ
easat-4929	217	3	ids	id	NOUN
easat-4929	217	4	have	have	VERB
easat-4929	217	5	fewer	few	ADJ
easat-4929	217	6	readmissions	readmission	NOUN
easat-4929	217	7	,	,	PUNCT
easat-4929	217	8	indicating	indicate	VERB
easat-4929	217	9	that	that	SCONJ
easat-4929	217	10	readmission	readmission	NOUN
easat-4929	217	11	rates	rate	NOUN
easat-4929	217	12	are	be	AUX
easat-4929	217	13	generally	generally	ADV
easat-4929	217	14	low	low	ADJ
easat-4929	217	15	across	across	ADP
easat-4929	217	16	all	all	DET
easat-4929	217	17	categories	category	NOUN
easat-4929	217	18	.	.	PUNCT
easat-4929	218	1	grouping	group	VERB
easat-4929	218	2	categorical	categorical	ADJ
easat-4929	218	3	features	feature	NOUN
easat-4929	218	4	:	:	PUNCT
easat-4929	218	5	grouping	group	VERB
easat-4929	218	6	the	the	DET
easat-4929	218	7	admission_type	admission_type	NOUN
easat-4929	218	8	i	i	PROPN
easat-4929	218	9	d	d	PROPN
easat-4929	218	10	into	into	ADP
easat-4929	218	11	fewer	few	ADJ
easat-4929	218	12	categories	category	NOUN
easat-4929	218	13	simplifies	simplify	VERB
easat-4929	218	14	the	the	DET
easat-4929	218	15	data	datum	NOUN
easat-4929	218	16	and	and	CCONJ
easat-4929	218	17	captures	capture	VERB
easat-4929	218	18	meaningful	meaningful	ADJ
easat-4929	218	19	patterns	pattern	NOUN
easat-4929	218	20	without	without	ADP
easat-4929	218	21	losing	lose	VERB
easat-4929	218	22	too	too	ADV
easat-4929	218	23	much	much	ADJ
easat-4929	218	24	detail	detail	NOUN
easat-4929	218	25	(	(	PUNCT
easat-4929	218	26	see	see	VERB
easat-4929	218	27	figure	figure	NOUN
easat-4929	218	28	4	4	NUM
easat-4929	218	29	)	)	PUNCT
easat-4929	218	30	.	.	PUNCT
easat-4929	219	1	emergency	emergency	NOUN
easat-4929	219	2	/	/	SYM
easat-4929	219	3	urgent	urgent	ADJ
easat-4929	219	4	/	/	SYM
easat-4929	219	5	trauma	trauma	NOUN
easat-4929	219	6	center	center	NOUN
easat-4929	219	7	→	→	PUNCT
easat-4929	219	8	emergency	emergency	NOUN
easat-4929	219	9	these	these	DET
easat-4929	219	10	categories	category	NOUN
easat-4929	219	11	often	often	ADV
easat-4929	219	12	involve	involve	VERB
easat-4929	219	13	urgent	urgent	ADJ
easat-4929	219	14	or	or	CCONJ
easat-4929	219	15	critical	critical	ADJ
easat-4929	219	16	situations	situation	NOUN
easat-4929	219	17	.	.	PUNCT
easat-4929	220	1	not	not	PART
easat-4929	220	2	available	available	ADJ
easat-4929	220	3	/	/	SYM
easat-4929	220	4	null	null	NOUN
easat-4929	220	5	/	/	SYM
easat-4929	220	6	not	not	PART
easat-4929	220	7	mapped	map	VERB
easat-4929	220	8	→	→	PUNCT
easat-4929	220	9	not	not	PART
easat-4929	220	10	available	available	ADJ
easat-4929	220	11	these	these	DET
easat-4929	220	12	categories	category	NOUN
easat-4929	220	13	indicate	indicate	VERB
easat-4929	220	14	missing	missing	ADJ
easat-4929	220	15	or	or	CCONJ
easat-4929	220	16	unspecified	unspecified	ADJ
easat-4929	220	17	information	information	NOUN
easat-4929	220	18	.	.	PUNCT
easat-4929	221	1	elective	elective	ADJ
easat-4929	221	2	→	→	SYM
easat-4929	221	3	elective	elective	ADJ
easat-4929	221	4	newborn	newborn	ADJ
easat-4929	221	5	→	→	SYM
easat-4929	221	6	newborn	newborn	ADJ
easat-4929	221	7	figure	figure	NOUN
easat-4929	221	8	4	4	NUM
easat-4929	221	9	.	.	PUNCT
easat-4929	221	10	grouped	group	VERB
easat-4929	221	11	categories	category	NOUN
easat-4929	221	12	of	of	ADP
easat-4929	221	13	‘	'	PUNCT
easat-4929	221	14	admission_type_id	admission_type_id	PROPN
easat-4929	221	15	’	'	PUNCT
easat-4929	221	16	1812	1812	NUM
easat-4929	221	17	edelweiss	edelweiss	PROPN
easat-4929	221	18	applied	apply	VERB
easat-4929	221	19	science	science	NOUN
easat-4929	221	20	and	and	CCONJ
easat-4929	221	21	technology	technology	NOUN
easat-4929	221	22	issn	issn	PROPN
easat-4929	221	23	:	:	PUNCT
easat-4929	221	24	2576	2576	NUM
easat-4929	221	25	-	-	SYM
easat-4929	221	26	8484	8484	NUM
easat-4929	221	27	vol	vol	NOUN
easat-4929	221	28	.	.	PROPN
easat-4929	222	1	9	9	NUM
easat-4929	222	2	,	,	PUNCT
easat-4929	222	3	no	no	INTJ
easat-4929	222	4	.	.	NOUN
easat-4929	222	5	2	2	NUM
easat-4929	222	6	:	:	SYM
easat-4929	222	7	1803	1803	NUM
easat-4929	222	8	-	-	SYM
easat-4929	222	9	1829	1829	NUM
easat-4929	222	10	,	,	PUNCT
easat-4929	222	11	2025	2025	NUM
easat-4929	222	12	doi	doi	NOUN
easat-4929	222	13	:	:	PUNCT
easat-4929	222	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	222	15	©	©	PROPN
easat-4929	222	16	2025	2025	NUM
easat-4929	222	17	by	by	ADP
easat-4929	222	18	the	the	DET
easat-4929	222	19	authors	author	NOUN
easat-4929	222	20	;	;	PUNCT
easat-4929	222	21	licensee	licensee	PROPN
easat-4929	222	22	learning	learning	NOUN
easat-4929	222	23	gate	gate	NOUN
easat-4929	222	24	for	for	ADP
easat-4929	222	25	disposition_id	disposition_id	PROPN
easat-4929	222	26	,	,	PUNCT
easat-4929	222	27	each	each	DET
easat-4929	222	28	i	i	PROPN
easat-4929	222	29	d	d	PROPN
easat-4929	222	30	represented	represent	VERB
easat-4929	222	31	by	by	ADP
easat-4929	222	32	the	the	DET
easat-4929	222	33	number	number	NOUN
easat-4929	222	34	was	be	AUX
easat-4929	222	35	grouped	group	VERB
easat-4929	222	36	into	into	ADP
easat-4929	222	37	8	8	NUM
easat-4929	222	38	categories	category	NOUN
easat-4929	222	39	such	such	ADJ
easat-4929	222	40	as	as	ADP
easat-4929	222	41	:	:	PUNCT
easat-4929	222	42	discharged	discharge	VERB
easat-4929	222	43	to	to	ADP
easat-4929	222	44	home	home	NOUN
easat-4929	222	45	,	,	PUNCT
easat-4929	222	46	transferred	transfer	VERB
easat-4929	222	47	to	to	ADP
easat-4929	222	48	another	another	DET
easat-4929	222	49	medical	medical	ADJ
easat-4929	222	50	facility	facility	NOUN
easat-4929	222	51	,	,	PUNCT
easat-4929	222	52	left	leave	VERB
easat-4929	222	53	ama	ama	NOUN
easat-4929	222	54	(	(	PUNCT
easat-4929	222	55	against	against	ADP
easat-4929	222	56	medical	medical	ADJ
easat-4929	222	57	advice	advice	NOUN
easat-4929	222	58	,	,	PUNCT
easat-4929	222	59	still	still	ADV
easat-4929	222	60	patient	patient	ADJ
easat-4929	222	61	/	/	PUNCT
easat-4929	222	62	referred	refer	VERB
easat-4929	222	63	,	,	PUNCT
easat-4929	222	64	expired	expired	ADJ
easat-4929	222	65	,	,	PUNCT
easat-4929	222	66	hospice	hospice	NOUN
easat-4929	222	67	,	,	PUNCT
easat-4929	222	68	not	not	PART
easat-4929	222	69	available	available	ADJ
easat-4929	222	70	,	,	PUNCT
easat-4929	222	71	neonate	neonate	NOUN
easat-4929	222	72	discharged	discharge	VERB
easat-4929	222	73	.	.	PUNCT
easat-4929	223	1	each	each	DET
easat-4929	223	2	admission	admission	NOUN
easat-4929	223	3	source	source	NOUN
easat-4929	223	4	i	i	PROPN
easat-4929	223	5	d	d	PROPN
easat-4929	223	6	was	be	AUX
easat-4929	223	7	grouped	group	VERB
easat-4929	223	8	into	into	ADP
easat-4929	223	9	these	these	DET
easat-4929	223	10	categories	category	NOUN
easat-4929	223	11	:	:	PUNCT
easat-4929	223	12	referral	referral	ADJ
easat-4929	223	13	,	,	PUNCT
easat-4929	223	14	transfer	transfer	NOUN
easat-4929	223	15	,	,	PUNCT
easat-4929	223	16	emergency	emergency	NOUN
easat-4929	223	17	room	room	NOUN
easat-4929	223	18	,	,	PUNCT
easat-4929	223	19	/law	/law	PUNCT
easat-4929	224	1	enforcement	enforcement	NOUN
easat-4929	224	2	,	,	PUNCT
easat-4929	224	3	not	not	PART
easat-4929	224	4	available	available	ADJ
easat-4929	224	5	,	,	PUNCT
easat-4929	224	6	delivery	delivery	NOUN
easat-4929	224	7	and	and	CCONJ
easat-4929	224	8	birth	birth	NOUN
easat-4929	224	9	,	,	PUNCT
easat-4929	224	10	readmission	readmission	NOUN
easat-4929	224	11	to	to	ADP
easat-4929	224	12	same	same	ADJ
easat-4929	224	13	home	home	NOUN
easat-4929	224	14	health	health	NOUN
easat-4929	224	15	agency	agency	NOUN
easat-4929	224	16	as	as	SCONJ
easat-4929	224	17	explained	explain	VERB
easat-4929	224	18	below	below	ADV
easat-4929	224	19	,	,	PUNCT
easat-4929	224	20	some	some	DET
easat-4929	224	21	features	feature	NOUN
easat-4929	224	22	are	be	AUX
easat-4929	224	23	dropped	drop	VERB
easat-4929	224	24	.	.	PUNCT
easat-4929	225	1	this	this	PRON
easat-4929	225	2	is	be	AUX
easat-4929	225	3	done	do	VERB
easat-4929	225	4	for	for	ADP
easat-4929	225	5	increasing	increase	VERB
easat-4929	225	6	model	model	NOUN
easat-4929	225	7	performance	performance	NOUN
easat-4929	225	8	,	,	PUNCT
easat-4929	225	9	computational	computational	ADJ
easat-4929	225	10	,	,	PUNCT
easat-4929	225	11	and	and	CCONJ
easat-4929	225	12	possibly	possibly	ADV
easat-4929	225	13	overfitting	overfitte	VERB
easat-4929	225	14	.	.	PUNCT
easat-4929	226	1	features	feature	NOUN
easat-4929	226	2	like	like	ADP
easat-4929	226	3	'	'	PUNCT
easat-4929	226	4	encounter_id	encounter_id	PRON
easat-4929	226	5	'	'	PUNCT
easat-4929	226	6	and	and	CCONJ
easat-4929	226	7	'	'	PUNCT
easat-4929	226	8	patient_nbr	patient_nbr	X
easat-4929	226	9	'	'	PUNCT
easat-4929	226	10	were	be	AUX
easat-4929	226	11	dropped	drop	VERB
easat-4929	226	12	as	as	SCONJ
easat-4929	226	13	they	they	PRON
easat-4929	226	14	were	be	AUX
easat-4929	226	15	simply	simply	ADV
easat-4929	226	16	identifiers	identifier	NOUN
easat-4929	226	17	without	without	ADP
easat-4929	226	18	any	any	DET
easat-4929	226	19	predictive	predictive	ADJ
easat-4929	226	20	value	value	NOUN
easat-4929	226	21	.	.	PUNCT
easat-4929	227	1	after	after	ADP
easat-4929	227	2	grouping	group	VERB
easat-4929	227	3	the	the	DET
easat-4929	227	4	categories	category	NOUN
easat-4929	227	5	in	in	ADP
easat-4929	227	6	both	both	DET
easat-4929	227	7	'	'	PUNCT
easat-4929	227	8	admission_type_id	admission_type_id	PROPN
easat-4929	227	9	'	'	PUNCT
easat-4929	227	10	and	and	CCONJ
easat-4929	227	11	'	'	PUNCT
easat-4929	227	12	admission_source	admission_source	VERB
easat-4929	227	13	_	_	NOUN
easat-4929	227	14	i	i	PRON
easat-4929	227	15	d	d	PROPN
easat-4929	227	16	'	'	PUNCT
easat-4929	227	17	,	,	PUNCT
easat-4929	227	18	we	we	PRON
easat-4929	227	19	decided	decide	VERB
easat-4929	227	20	to	to	PART
easat-4929	227	21	drop	drop	VERB
easat-4929	227	22	the	the	DET
easat-4929	227	23	admission_type_id	admission_type_id	PROPN
easat-4929	227	24	feature	feature	NOUN
easat-4929	227	25	because	because	SCONJ
easat-4929	227	26	it	it	PRON
easat-4929	227	27	shared	share	VERB
easat-4929	227	28	a	a	DET
easat-4929	227	29	moderate	moderate	ADJ
easat-4929	227	30	correlation	correlation	NOUN
easat-4929	227	31	of	of	ADP
easat-4929	227	32	0.6234	0.6234	NUM
easat-4929	227	33	with	with	ADP
easat-4929	227	34	admission_source_id	admission_source_id	PROPN
easat-4929	227	35	,	,	PUNCT
easat-4929	227	36	meaning	mean	VERB
easat-4929	227	37	they	they	PRON
easat-4929	227	38	overlap	overlap	VERB
easat-4929	227	39	substantially	substantially	ADV
easat-4929	227	40	in	in	ADP
easat-4929	227	41	the	the	DET
easat-4929	227	42	information	information	NOUN
easat-4929	227	43	they	they	PRON
easat-4929	227	44	provide	provide	VERB
easat-4929	227	45	.	.	PUNCT
easat-4929	228	1	the	the	DET
easat-4929	228	2	categories	category	NOUN
easat-4929	228	3	in	in	ADP
easat-4929	228	4	admission_source_id	admission_source_id	PROPN
easat-4929	228	5	already	already	ADV
easat-4929	228	6	cover	cover	VERB
easat-4929	228	7	what	what	PRON
easat-4929	228	8	admission_type_id	admission_type_id	PROPN
easat-4929	228	9	represents	represent	VERB
easat-4929	228	10	,	,	PUNCT
easat-4929	228	11	making	make	VERB
easat-4929	228	12	it	it	PRON
easat-4929	228	13	unnecessary	unnecessary	ADJ
easat-4929	228	14	to	to	PART
easat-4929	228	15	keep	keep	VERB
easat-4929	228	16	both	both	PRON
easat-4929	228	17	.	.	PUNCT
easat-4929	229	1	retaining	retain	VERB
easat-4929	229	2	both	both	PRON
easat-4929	229	3	would	would	AUX
easat-4929	229	4	introduce	introduce	VERB
easat-4929	229	5	redundancy	redundancy	NOUN
easat-4929	229	6	without	without	ADP
easat-4929	229	7	adding	add	VERB
easat-4929	229	8	significant	significant	ADJ
easat-4929	229	9	value	value	NOUN
easat-4929	229	10	to	to	ADP
easat-4929	229	11	the	the	DET
easat-4929	229	12	model	model	NOUN
easat-4929	229	13	.	.	PUNCT
easat-4929	230	1	the	the	DET
easat-4929	230	2	medications	medication	NOUN
easat-4929	230	3	'	'	PUNCT
easat-4929	230	4	examide	examide	NOUN
easat-4929	230	5	'	'	PUNCT
easat-4929	230	6	and	and	CCONJ
easat-4929	230	7	'	'	PUNCT
easat-4929	230	8	citoglipton	citoglipton	NOUN
easat-4929	230	9	'	'	PUNCT
easat-4929	230	10	were	be	AUX
easat-4929	230	11	dropped	drop	VERB
easat-4929	230	12	because	because	SCONJ
easat-4929	230	13	they	they	PRON
easat-4929	230	14	only	only	ADV
easat-4929	230	15	contained	contain	VERB
easat-4929	230	16	the	the	DET
easat-4929	230	17	value	value	NOUN
easat-4929	230	18	'	'	PUNCT
easat-4929	230	19	no	no	INTJ
easat-4929	230	20	,	,	PUNCT
easat-4929	230	21	'	'	PUNCT
easat-4929	230	22	indicating	indicate	VERB
easat-4929	230	23	that	that	SCONJ
easat-4929	230	24	they	they	PRON
easat-4929	230	25	were	be	AUX
easat-4929	230	26	not	not	PART
easat-4929	230	27	prescribed	prescribe	VERB
easat-4929	230	28	at	at	ADV
easat-4929	230	29	all	all	ADV
easat-4929	230	30	,	,	PUNCT
easat-4929	230	31	making	make	VERB
easat-4929	230	32	them	they	PRON
easat-4929	230	33	non	non	ADJ
easat-4929	230	34	-	-	ADJ
easat-4929	230	35	informative	informative	ADJ
easat-4929	230	36	for	for	ADP
easat-4929	230	37	prediction	prediction	NOUN
easat-4929	230	38	purposes	purpose	NOUN
easat-4929	230	39	.	.	PUNCT
easat-4929	231	1	medications	medication	NOUN
easat-4929	231	2	that	that	PRON
easat-4929	231	3	were	be	AUX
easat-4929	231	4	prescribed	prescribe	VERB
easat-4929	231	5	to	to	ADP
easat-4929	231	6	less	less	ADJ
easat-4929	231	7	than	than	ADP
easat-4929	231	8	1	1	NUM
easat-4929	231	9	%	%	NOUN
easat-4929	231	10	of	of	ADP
easat-4929	231	11	the	the	DET
easat-4929	231	12	population	population	NOUN
easat-4929	231	13	or	or	CCONJ
easat-4929	231	14	had	have	VERB
easat-4929	231	15	no	no	DET
easat-4929	231	16	significant	significant	ADJ
easat-4929	231	17	impact	impact	NOUN
easat-4929	231	18	on	on	ADP
easat-4929	231	19	the	the	DET
easat-4929	231	20	outcomes	outcome	NOUN
easat-4929	231	21	were	be	AUX
easat-4929	231	22	excluded	exclude	VERB
easat-4929	231	23	.	.	PUNCT
easat-4929	232	1	this	this	DET
easat-4929	232	2	decision	decision	NOUN
easat-4929	232	3	was	be	AUX
easat-4929	232	4	supported	support	VERB
easat-4929	232	5	by	by	ADP
easat-4929	232	6	earlier	early	ADJ
easat-4929	232	7	statistical	statistical	ADJ
easat-4929	232	8	tests	test	NOUN
easat-4929	232	9	(	(	PUNCT
easat-4929	232	10	chi	chi	NOUN
easat-4929	232	11	-	-	PUNCT
easat-4929	232	12	square	square	PROPN
easat-4929	232	13	and	and	CCONJ
easat-4929	232	14	anova	anova	PROPN
easat-4929	232	15	)	)	PUNCT
easat-4929	232	16	that	that	PRON
easat-4929	232	17	identified	identify	VERB
easat-4929	232	18	these	these	DET
easat-4929	232	19	features	feature	NOUN
easat-4929	232	20	as	as	ADP
easat-4929	232	21	insignificant	insignificant	ADJ
easat-4929	232	22	.	.	PUNCT
easat-4929	233	1	removal	removal	NOUN
easat-4929	233	2	of	of	ADP
easat-4929	233	3	these	these	DET
easat-4929	233	4	features	feature	NOUN
easat-4929	233	5	,	,	PUNCT
easat-4929	233	6	helped	help	VERB
easat-4929	233	7	the	the	DET
easat-4929	233	8	model	model	NOUN
easat-4929	233	9	focus	focus	VERB
easat-4929	233	10	on	on	ADP
easat-4929	233	11	more	more	ADV
easat-4929	233	12	relevant	relevant	ADJ
easat-4929	233	13	variables	variable	NOUN
easat-4929	233	14	.	.	PUNCT
easat-4929	234	1	the	the	DET
easat-4929	234	2	specific	specific	ADJ
easat-4929	234	3	medications	medication	NOUN
easat-4929	234	4	removed	remove	VERB
easat-4929	234	5	were	be	AUX
easat-4929	234	6	:	:	PUNCT
easat-4929	234	7	nateglinide	nateglinide	ADJ
easat-4929	234	8	,	,	PUNCT
easat-4929	234	9	chlorpropamide	chlorpropamide	ADJ
easat-4929	234	10	,	,	PUNCT
easat-4929	234	11	acetohexamide	acetohexamide	ADJ
easat-4929	234	12	,	,	PUNCT
easat-4929	234	13	tolbutamide	tolbutamide	NOUN
easat-4929	234	14	,	,	PUNCT
easat-4929	234	15	acarbose	acarbose	NOUN
easat-4929	234	16	,	,	PUNCT
easat-4929	234	17	miglitol	miglitol	NOUN
easat-4929	234	18	,	,	PUNCT
easat-4929	234	19	troglitazone	troglitazone	NOUN
easat-4929	234	20	,	,	PUNCT
easat-4929	234	21	tolazamide	tolazamide	ADV
easat-4929	234	22	,	,	PUNCT
easat-4929	234	23	glyburide	glyburide	NOUN
easat-4929	234	24	-	-	PUNCT
easat-4929	234	25	metformin	metformin	NOUN
easat-4929	234	26	,	,	PUNCT
easat-4929	234	27	glipizide	glipizide	ADJ
easat-4929	234	28	-	-	PUNCT
easat-4929	234	29	metformin	metformin	NOUN
easat-4929	234	30	,	,	PUNCT
easat-4929	234	31	glimepiride	glimepiride	NOUN
easat-4929	234	32	-	-	PUNCT
easat-4929	234	33	pioglitazone	pioglitazone	NOUN
easat-4929	234	34	,	,	PUNCT
easat-4929	234	35	metformin	metformin	NOUN
easat-4929	234	36	-	-	PUNCT
easat-4929	234	37	rosiglitazone	rosiglitazone	NOUN
easat-4929	234	38	,	,	PUNCT
easat-4929	234	39	and	and	CCONJ
easat-4929	234	40	metformin	metformin	NOUN
easat-4929	234	41	-	-	PUNCT
easat-4929	234	42	pioglitazone	pioglitazone	NOUN
easat-4929	234	43	.	.	PUNCT
easat-4929	235	1	since	since	SCONJ
easat-4929	235	2	both	both	PRON
easat-4929	235	3	‘	'	PUNCT
easat-4929	235	4	number_changes	number_change	NOUN
easat-4929	235	5	’	'	PUNCT
easat-4929	235	6	and	and	CCONJ
easat-4929	235	7	‘	'	PUNCT
easat-4929	235	8	change	change	NOUN
easat-4929	235	9	’	'	PUNCT
easat-4929	235	10	features	feature	NOUN
easat-4929	235	11	were	be	AUX
easat-4929	235	12	p	p	ADJ
easat-4929	235	13	-	-	PUNCT
easat-4929	235	14	value	value	NOUN
easat-4929	235	15	invariant	invariant	ADJ
easat-4929	235	16	and	and	CCONJ
easat-4929	235	17	equally	equally	ADV
easat-4929	235	18	informative	informative	ADJ
easat-4929	235	19	,	,	PUNCT
easat-4929	235	20	‘	'	PUNCT
easat-4929	235	21	number_changes	number_change	NOUN
easat-4929	235	22	’	'	PUNCT
easat-4929	235	23	was	be	AUX
easat-4929	235	24	retained	retain	VERB
easat-4929	235	25	instead	instead	ADV
easat-4929	235	26	of	of	ADP
easat-4929	235	27	‘	'	PUNCT
easat-4929	235	28	change	change	NOUN
easat-4929	235	29	’	'	PUNCT
easat-4929	235	30	as	as	SCONJ
easat-4929	235	31	it	it	PRON
easat-4929	235	32	had	have	VERB
easat-4929	235	33	a	a	DET
easat-4929	235	34	lower	low	ADJ
easat-4929	235	35	p	p	NOUN
easat-4929	235	36	-	-	PUNCT
easat-4929	235	37	value	value	NOUN
easat-4929	235	38	which	which	PRON
easat-4929	235	39	is	be	AUX
easat-4929	235	40	preferred	prefer	VERB
easat-4929	235	41	.	.	PUNCT
easat-4929	236	1	lastly	lastly	ADV
easat-4929	236	2	,	,	PUNCT
easat-4929	236	3	features	feature	VERB
easat-4929	236	4	such	such	ADJ
easat-4929	236	5	as	as	ADP
easat-4929	236	6	‘	'	PUNCT
easat-4929	236	7	number_outpatient	number_outpatient	NOUN
easat-4929	236	8	’	'	PUNCT
easat-4929	236	9	,	,	PUNCT
easat-4929	236	10	‘	'	PUNCT
easat-4929	236	11	number_emergency	number_emergency	NOUN
easat-4929	236	12	’	'	PUNCT
easat-4929	236	13	,	,	PUNCT
easat-4929	236	14	and	and	CCONJ
easat-4929	236	15	‘	'	PUNCT
easat-4929	236	16	number_inpatient	number_inpatient	NOUN
easat-4929	236	17	’	'	PUNCT
easat-4929	236	18	were	be	AUX
easat-4929	236	19	dropped	drop	VERB
easat-4929	236	20	after	after	SCONJ
easat-4929	236	21	the	the	DET
easat-4929	236	22	new	new	ADJ
easat-4929	236	23	feature	feature	NOUN
easat-4929	236	24	'	'	PUNCT
easat-4929	236	25	total_visits	total_visit	NOUN
easat-4929	236	26	'	'	PUNCT
easat-4929	236	27	was	be	AUX
easat-4929	236	28	created	create	VERB
easat-4929	236	29	.	.	PUNCT
easat-4929	237	1	3.2	3.2	NUM
easat-4929	237	2	.	.	PUNCT
easat-4929	238	1	feature	feature	NOUN
easat-4929	238	2	engineering	engineering	NOUN
easat-4929	238	3	initially	initially	ADV
easat-4929	238	4	,	,	PUNCT
easat-4929	238	5	categorical	categorical	ADJ
easat-4929	238	6	features	feature	NOUN
easat-4929	238	7	in	in	ADP
easat-4929	238	8	the	the	DET
easat-4929	238	9	dataset	dataset	NOUN
easat-4929	238	10	were	be	AUX
easat-4929	238	11	under	under	ADP
easat-4929	238	12	the	the	DET
easat-4929	238	13	object	object	NOUN
easat-4929	238	14	data	data	NOUN
easat-4929	238	15	type	type	NOUN
easat-4929	238	16	,	,	PUNCT
easat-4929	238	17	while	while	SCONJ
easat-4929	238	18	numerical	numerical	ADJ
easat-4929	238	19	features	feature	NOUN
easat-4929	238	20	were	be	AUX
easat-4929	238	21	represented	represent	VERB
easat-4929	238	22	as	as	ADP
easat-4929	238	23	integers	integer	NOUN
easat-4929	238	24	.	.	PUNCT
easat-4929	239	1	by	by	ADP
easat-4929	239	2	the	the	DET
easat-4929	239	3	end	end	NOUN
easat-4929	239	4	of	of	ADP
easat-4929	239	5	the	the	DET
easat-4929	239	6	feature	feature	NOUN
easat-4929	239	7	engineering	engineering	NOUN
easat-4929	239	8	process	process	NOUN
easat-4929	239	9	,	,	PUNCT
easat-4929	239	10	all	all	DET
easat-4929	239	11	features	feature	NOUN
easat-4929	239	12	were	be	AUX
easat-4929	239	13	converted	convert	VERB
easat-4929	239	14	to	to	ADP
easat-4929	239	15	the	the	DET
easat-4929	239	16	integer	integer	NOUN
easat-4929	239	17	data	datum	NOUN
easat-4929	239	18	type	type	NOUN
easat-4929	239	19	to	to	PART
easat-4929	239	20	ensure	ensure	VERB
easat-4929	239	21	compatibility	compatibility	NOUN
easat-4929	239	22	and	and	CCONJ
easat-4929	239	23	consistency	consistency	NOUN
easat-4929	239	24	before	before	ADP
easat-4929	239	25	proceeding	proceed	VERB
easat-4929	239	26	to	to	ADP
easat-4929	239	27	the	the	DET
easat-4929	239	28	modelling	modelling	NOUN
easat-4929	239	29	stage	stage	NOUN
easat-4929	239	30	.	.	PUNCT
easat-4929	240	1	preparing	prepare	VERB
easat-4929	240	2	the	the	DET
easat-4929	240	3	data	datum	NOUN
easat-4929	240	4	in	in	ADP
easat-4929	240	5	a	a	DET
easat-4929	240	6	uniform	uniform	ADJ
easat-4929	240	7	format	format	NOUN
easat-4929	240	8	allows	allow	VERB
easat-4929	240	9	ml	ml	PART
easat-4929	240	10	algorithms	algorithm	NOUN
easat-4929	240	11	to	to	PART
easat-4929	240	12	process	process	VERB
easat-4929	240	13	the	the	DET
easat-4929	240	14	features	feature	NOUN
easat-4929	240	15	without	without	ADP
easat-4929	240	16	encountering	encounter	VERB
easat-4929	240	17	type	type	NOUN
easat-4929	240	18	-	-	PUNCT
easat-4929	240	19	related	relate	VERB
easat-4929	240	20	difficulties	difficulty	NOUN
easat-4929	240	21	.	.	PUNCT
easat-4929	241	1	during	during	ADP
easat-4929	241	2	the	the	DET
easat-4929	241	3	feature	feature	NOUN
easat-4929	241	4	engineering	engineering	NOUN
easat-4929	241	5	phase	phase	NOUN
easat-4929	241	6	,	,	PUNCT
easat-4929	241	7	our	our	PRON
easat-4929	241	8	goal	goal	NOUN
easat-4929	241	9	was	be	AUX
easat-4929	241	10	to	to	PART
easat-4929	241	11	create	create	VERB
easat-4929	241	12	additional	additional	ADJ
easat-4929	241	13	features	feature	NOUN
easat-4929	241	14	to	to	PART
easat-4929	241	15	strengthen	strengthen	VERB
easat-4929	241	16	the	the	DET
easat-4929	241	17	predictive	predictive	ADJ
easat-4929	241	18	capability	capability	NOUN
easat-4929	241	19	of	of	ADP
easat-4929	241	20	the	the	DET
easat-4929	241	21	model	model	NOUN
easat-4929	241	22	.	.	PUNCT
easat-4929	242	1	one	one	NUM
easat-4929	242	2	of	of	ADP
easat-4929	242	3	these	these	DET
easat-4929	242	4	features	feature	NOUN
easat-4929	242	5	,	,	PUNCT
easat-4929	242	6	‘	'	PUNCT
easat-4929	242	7	total_visits	total_visit	NOUN
easat-4929	242	8	,	,	PUNCT
easat-4929	242	9	’	'	PUNCT
easat-4929	242	10	was	be	AUX
easat-4929	242	11	created	create	VERB
easat-4929	242	12	by	by	ADP
easat-4929	242	13	summing	sum	VERB
easat-4929	242	14	the	the	DET
easat-4929	242	15	outpatient	outpatient	NOUN
easat-4929	242	16	,	,	PUNCT
easat-4929	242	17	emergency	emergency	NOUN
easat-4929	242	18	,	,	PUNCT
easat-4929	242	19	and	and	CCONJ
easat-4929	242	20	inpatient	inpatient	NOUN
easat-4929	242	21	visit	visit	NOUN
easat-4929	242	22	.	.	PUNCT
easat-4929	243	1	this	this	DET
easat-4929	243	2	metric	metric	NOUN
easat-4929	243	3	encapsulated	encapsulate	VERB
easat-4929	243	4	all	all	DET
easat-4929	243	5	visit	visit	NOUN
easat-4929	243	6	types	type	NOUN
easat-4929	243	7	within	within	ADP
easat-4929	243	8	a	a	DET
easat-4929	243	9	year	year	NOUN
easat-4929	243	10	and	and	CCONJ
easat-4929	243	11	offered	offer	VERB
easat-4929	243	12	a	a	DET
easat-4929	243	13	broader	broad	ADJ
easat-4929	243	14	perception	perception	NOUN
easat-4929	243	15	of	of	ADP
easat-4929	243	16	a	a	DET
easat-4929	243	17	patient	patient	NOUN
easat-4929	243	18	’s	’s	PART
easat-4929	243	19	healthcare	healthcare	NOUN
easat-4929	243	20	spending	spending	NOUN
easat-4929	243	21	.	.	PUNCT
easat-4929	244	1	combining	combine	VERB
easat-4929	244	2	these	these	DET
easat-4929	244	3	visits	visit	NOUN
easat-4929	244	4	into	into	ADP
easat-4929	244	5	one	one	NUM
easat-4929	244	6	feature	feature	NOUN
easat-4929	244	7	simplified	simplify	VERB
easat-4929	244	8	the	the	DET
easat-4929	244	9	data	datum	NOUN
easat-4929	244	10	.	.	PUNCT
easat-4929	245	1	additionally	additionally	ADV
easat-4929	245	2	,	,	PUNCT
easat-4929	245	3	'	'	PUNCT
easat-4929	245	4	num_changes	num_change	NOUN
easat-4929	245	5	'	'	PUNCT
easat-4929	245	6	was	be	AUX
easat-4929	245	7	created	create	VERB
easat-4929	245	8	to	to	PART
easat-4929	245	9	quantify	quantify	VERB
easat-4929	245	10	the	the	DET
easat-4929	245	11	number	number	NOUN
easat-4929	245	12	of	of	ADP
easat-4929	245	13	changes	change	NOUN
easat-4929	245	14	in	in	ADP
easat-4929	245	15	a	a	DET
easat-4929	245	16	patient	patient	NOUN
easat-4929	245	17	's	's	PART
easat-4929	245	18	medication	medication	NOUN
easat-4929	245	19	regimen	regiman	NOUN
easat-4929	245	20	during	during	ADP
easat-4929	245	21	their	their	PRON
easat-4929	245	22	encounter	encounter	NOUN
easat-4929	245	23	.	.	PUNCT
easat-4929	246	1	it	it	PRON
easat-4929	246	2	combined	combine	VERB
easat-4929	246	3	the	the	DET
easat-4929	246	4	number	number	NOUN
easat-4929	246	5	of	of	ADP
easat-4929	246	6	medications	medication	NOUN
easat-4929	246	7	whose	whose	DET
easat-4929	246	8	dosage	dosage	NOUN
easat-4929	246	9	was	be	AUX
easat-4929	246	10	either	either	CCONJ
easat-4929	246	11	increased	increase	VERB
easat-4929	246	12	or	or	CCONJ
easat-4929	246	13	decreased	decrease	VERB
easat-4929	246	14	,	,	PUNCT
easat-4929	246	15	providing	provide	VERB
easat-4929	246	16	a	a	DET
easat-4929	246	17	single	single	ADJ
easat-4929	246	18	measure	measure	NOUN
easat-4929	246	19	of	of	ADP
easat-4929	246	20	medication	medication	NOUN
easat-4929	246	21	management	management	NOUN
easat-4929	246	22	intensity	intensity	NOUN
easat-4929	246	23	.	.	PUNCT
easat-4929	247	1	this	this	DET
easat-4929	247	2	feature	feature	NOUN
easat-4929	247	3	captured	capture	VERB
easat-4929	247	4	the	the	DET
easat-4929	247	5	complexity	complexity	NOUN
easat-4929	247	6	of	of	ADP
easat-4929	247	7	a	a	DET
easat-4929	247	8	patient	patient	NOUN
easat-4929	247	9	's	's	PART
easat-4929	247	10	treatment	treatment	NOUN
easat-4929	247	11	plan	plan	NOUN
easat-4929	247	12	.	.	PUNCT
easat-4929	248	1	finally	finally	ADV
easat-4929	248	2	,	,	PUNCT
easat-4929	248	3	the	the	DET
easat-4929	248	4	patients	patient	NOUN
easat-4929	248	5	using	use	VERB
easat-4929	248	6	insulin	insulin	NOUN
easat-4929	248	7	and	and	CCONJ
easat-4929	248	8	the	the	DET
easat-4929	248	9	prescribed	prescribed	ADJ
easat-4929	248	10	diabetes	diabetes	NOUN
easat-4929	248	11	medication	medication	NOUN
easat-4929	248	12	were	be	AUX
easat-4929	248	13	classified	classify	VERB
easat-4929	248	14	in	in	ADP
easat-4929	248	15	the	the	DET
easat-4929	248	16	‘	'	PUNCT
easat-4929	248	17	insulin_treatment	insulin_treatment	ADJ
easat-4929	248	18	’	'	PUNCT
easat-4929	248	19	feature	feature	NOUN
easat-4929	248	20	.	.	PUNCT
easat-4929	249	1	this	this	DET
easat-4929	249	2	feature	feature	NOUN
easat-4929	249	3	provides	provide	VERB
easat-4929	249	4	a	a	DET
easat-4929	249	5	range	range	NOUN
easat-4929	249	6	of	of	ADP
easat-4929	249	7	treatment	treatment	NOUN
easat-4929	249	8	levels	level	NOUN
easat-4929	249	9	for	for	ADP
easat-4929	249	10	patients	patient	NOUN
easat-4929	249	11	:	:	PUNCT
easat-4929	249	12	some	some	PRON
easat-4929	249	13	can	can	AUX
easat-4929	249	14	be	be	AUX
easat-4929	249	15	insulin	insulin	NOUN
easat-4929	249	16	dependent	dependent	ADJ
easat-4929	249	17	only	only	ADV
easat-4929	249	18	,	,	PUNCT
easat-4929	249	19	others	other	NOUN
easat-4929	249	20	can	can	AUX
easat-4929	249	21	be	be	AUX
easat-4929	249	22	insulin	insulin	NOUN
easat-4929	249	23	supplemented	supplement	VERB
easat-4929	249	24	with	with	ADP
easat-4929	249	25	medication	medication	NOUN
easat-4929	249	26	,	,	PUNCT
easat-4929	249	27	and	and	CCONJ
easat-4929	249	28	last	last	ADJ
easat-4929	249	29	but	but	CCONJ
easat-4929	249	30	not	not	PART
easat-4929	249	31	the	the	DET
easat-4929	249	32	least	least	ADJ
easat-4929	249	33	,	,	PUNCT
easat-4929	249	34	those	those	PRON
easat-4929	249	35	who	who	PRON
easat-4929	249	36	do	do	AUX
easat-4929	249	37	not	not	PART
easat-4929	249	38	take	take	VERB
easat-4929	249	39	any	any	DET
easat-4929	249	40	medications	medication	NOUN
easat-4929	249	41	for	for	ADP
easat-4929	249	42	diabetes	diabetes	NOUN
easat-4929	249	43	.	.	PUNCT
easat-4929	250	1	after	after	ADP
easat-4929	250	2	this	this	PRON
easat-4929	250	3	,	,	PUNCT
easat-4929	250	4	all	all	DET
easat-4929	250	5	the	the	DET
easat-4929	250	6	categories	category	NOUN
easat-4929	250	7	were	be	AUX
easat-4929	250	8	ascribed	ascribe	VERB
easat-4929	250	9	different	different	ADJ
easat-4929	250	10	numerical	numerical	ADJ
easat-4929	250	11	values	value	NOUN
easat-4929	250	12	so	so	SCONJ
easat-4929	250	13	the	the	DET
easat-4929	250	14	model	model	NOUN
easat-4929	250	15	could	could	AUX
easat-4929	250	16	separate	separate	VERB
easat-4929	250	17	various	various	ADJ
easat-4929	250	18	levels	level	NOUN
easat-4929	250	19	of	of	ADP
easat-4929	250	20	treatment	treatment	NOUN
easat-4929	250	21	.	.	PUNCT
easat-4929	251	1	feature	feature	NOUN
easat-4929	251	2	transformation	transformation	NOUN
easat-4929	251	3	and	and	CCONJ
easat-4929	251	4	handling	handling	NOUN
easat-4929	251	5	outliers	outlier	NOUN
easat-4929	251	6	is	be	AUX
easat-4929	251	7	done	do	VERB
easat-4929	251	8	in	in	ADP
easat-4929	251	9	several	several	ADJ
easat-4929	251	10	steps	step	NOUN
easat-4929	251	11	.	.	PUNCT
easat-4929	252	1	the	the	DET
easat-4929	252	2	first	first	ADJ
easat-4929	252	3	step	step	NOUN
easat-4929	252	4	in	in	ADP
easat-4929	252	5	the	the	DET
easat-4929	252	6	feature	feature	NOUN
easat-4929	252	7	transformation	transformation	NOUN
easat-4929	252	8	process	process	NOUN
easat-4929	252	9	was	be	AUX
easat-4929	252	10	identifying	identify	VERB
easat-4929	252	11	and	and	CCONJ
easat-4929	252	12	managing	manage	VERB
easat-4929	252	13	outliers	outlier	NOUN
easat-4929	252	14	to	to	PART
easat-4929	252	15	prevent	prevent	VERB
easat-4929	252	16	them	they	PRON
easat-4929	252	17	from	from	ADP
easat-4929	252	18	negatively	negatively	ADV
easat-4929	252	19	impacting	impact	VERB
easat-4929	252	20	model	model	NOUN
easat-4929	252	21	performance	performance	NOUN
easat-4929	252	22	.	.	PUNCT
easat-4929	253	1	outliers	outlier	NOUN
easat-4929	253	2	were	be	AUX
easat-4929	253	3	identified	identify	VERB
easat-4929	253	4	using	use	VERB
easat-4929	253	5	z	z	NOUN
easat-4929	253	6	-	-	PUNCT
easat-4929	253	7	scores	score	NOUN
easat-4929	253	8	,	,	PUNCT
easat-4929	253	9	with	with	ADP
easat-4929	253	10	a	a	DET
easat-4929	253	11	threshold	threshold	NOUN
easat-4929	253	12	of	of	ADP
easat-4929	253	13	3	3	NUM
easat-4929	253	14	,	,	PUNCT
easat-4929	253	15	across	across	ADP
easat-4929	253	16	the	the	DET
easat-4929	253	17	1813	1813	NUM
easat-4929	253	18	edelweiss	edelweiss	PROPN
easat-4929	253	19	applied	apply	VERB
easat-4929	253	20	science	science	NOUN
easat-4929	253	21	and	and	CCONJ
easat-4929	253	22	technology	technology	NOUN
easat-4929	253	23	issn	issn	PROPN
easat-4929	253	24	:	:	PUNCT
easat-4929	253	25	2576	2576	NUM
easat-4929	253	26	-	-	SYM
easat-4929	253	27	8484	8484	NUM
easat-4929	253	28	vol	vol	NOUN
easat-4929	253	29	.	.	PROPN
easat-4929	254	1	9	9	NUM
easat-4929	254	2	,	,	PUNCT
easat-4929	254	3	no	no	INTJ
easat-4929	254	4	.	.	NOUN
easat-4929	254	5	2	2	NUM
easat-4929	254	6	:	:	SYM
easat-4929	254	7	1803	1803	NUM
easat-4929	254	8	-	-	SYM
easat-4929	254	9	1829	1829	NUM
easat-4929	254	10	,	,	PUNCT
easat-4929	254	11	2025	2025	NUM
easat-4929	254	12	doi	doi	NOUN
easat-4929	254	13	:	:	PUNCT
easat-4929	254	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	254	15	©	©	PROPN
easat-4929	254	16	2025	2025	NUM
easat-4929	254	17	by	by	ADP
easat-4929	254	18	the	the	DET
easat-4929	254	19	authors	author	NOUN
easat-4929	254	20	;	;	PUNCT
easat-4929	254	21	licensee	licensee	PROPN
easat-4929	254	22	learning	learn	VERB
easat-4929	254	23	gate	gate	PROPN
easat-4929	254	24	numerical	numerical	PROPN
easat-4929	254	25	features	feature	NOUN
easat-4929	254	26	.	.	PUNCT
easat-4929	255	1	the	the	DET
easat-4929	255	2	interquartile	interquartile	ADJ
easat-4929	255	3	range	range	NOUN
easat-4929	255	4	(	(	PUNCT
easat-4929	255	5	iqr	iqr	NOUN
easat-4929	255	6	)	)	PUNCT
easat-4929	255	7	method	method	NOUN
easat-4929	255	8	was	be	AUX
easat-4929	255	9	also	also	ADV
easat-4929	255	10	used	use	VERB
easat-4929	255	11	to	to	PART
easat-4929	255	12	validate	validate	VERB
easat-4929	255	13	these	these	DET
easat-4929	255	14	outliers	outlier	NOUN
easat-4929	255	15	further	far	ADV
easat-4929	255	16	.	.	PUNCT
easat-4929	256	1	visualizations	visualization	NOUN
easat-4929	256	2	like	like	ADP
easat-4929	256	3	histograms	histogram	NOUN
easat-4929	256	4	and	and	CCONJ
easat-4929	256	5	boxplots	boxplot	NOUN
easat-4929	256	6	were	be	AUX
easat-4929	256	7	used	use	VERB
easat-4929	256	8	for	for	ADP
easat-4929	256	9	a	a	DET
easat-4929	256	10	visual	visual	ADJ
easat-4929	256	11	valuation	valuation	NOUN
easat-4929	256	12	.	.	PUNCT
easat-4929	257	1	initially	initially	ADV
easat-4929	257	2	,	,	PUNCT
easat-4929	257	3	we	we	PRON
easat-4929	257	4	applied	apply	VERB
easat-4929	257	5	the	the	DET
easat-4929	257	6	yeo	yeo	PROPN
easat-4929	257	7	-	-	PUNCT
easat-4929	257	8	johnson	johnson	PROPN
easat-4929	257	9	transformation	transformation	NOUN
easat-4929	257	10	to	to	PART
easat-4929	257	11	address	address	VERB
easat-4929	257	12	skewness	skewness	NOUN
easat-4929	257	13	and	and	CCONJ
easat-4929	257	14	normality	normality	NOUN
easat-4929	257	15	of	of	ADP
easat-4929	257	16	the	the	DET
easat-4929	257	17	data	datum	NOUN
easat-4929	257	18	distribution	distribution	NOUN
easat-4929	257	19	.	.	PUNCT
easat-4929	258	1	while	while	SCONJ
easat-4929	258	2	it	it	PRON
easat-4929	258	3	was	be	AUX
easat-4929	258	4	used	use	VERB
easat-4929	258	5	to	to	PART
easat-4929	258	6	correct	correct	VERB
easat-4929	258	7	skewness	skewness	NOUN
easat-4929	258	8	,	,	PUNCT
easat-4929	258	9	the	the	DET
easat-4929	258	10	transformation	transformation	NOUN
easat-4929	258	11	also	also	ADV
easat-4929	258	12	played	play	VERB
easat-4929	258	13	a	a	DET
easat-4929	258	14	role	role	NOUN
easat-4929	258	15	in	in	ADP
easat-4929	258	16	bringing	bring	VERB
easat-4929	258	17	inaccessible	inaccessible	ADJ
easat-4929	258	18	outliers	outlier	NOUN
easat-4929	258	19	closer	close	ADJ
easat-4929	258	20	to	to	ADP
easat-4929	258	21	the	the	DET
easat-4929	258	22	center	center	NOUN
easat-4929	258	23	of	of	ADP
easat-4929	258	24	the	the	DET
easat-4929	258	25	distribution	distribution	NOUN
easat-4929	258	26	.	.	PUNCT
easat-4929	259	1	after	after	SCONJ
easat-4929	259	2	this	this	DET
easat-4929	259	3	transformation	transformation	NOUN
easat-4929	259	4	were	be	AUX
easat-4929	259	5	completed	complete	VERB
easat-4929	259	6	,	,	PUNCT
easat-4929	259	7	the	the	DET
easat-4929	259	8	results	result	NOUN
easat-4929	259	9	were	be	AUX
easat-4929	259	10	reassessed	reassess	VERB
easat-4929	259	11	and	and	CCONJ
easat-4929	259	12	outliers	outlier	NOUN
easat-4929	259	13	were	be	AUX
easat-4929	259	14	recalibrated	recalibrate	VERB
easat-4929	259	15	like	like	ADP
easat-4929	259	16	num_medications	num_medication	NOUN
easat-4929	259	17	,	,	PUNCT
easat-4929	259	18	number_diagnoses	number_diagnose	NOUN
easat-4929	259	19	,	,	PUNCT
easat-4929	259	20	and	and	CCONJ
easat-4929	259	21	num_lab_procedures	num_lab_procedure	NOUN
easat-4929	259	22	were	be	AUX
easat-4929	259	23	handled	handle	VERB
easat-4929	259	24	by	by	ADP
easat-4929	259	25	removing	remove	VERB
easat-4929	259	26	data	datum	NOUN
easat-4929	259	27	points	point	NOUN
easat-4929	259	28	with	with	ADP
easat-4929	259	29	z	z	NOUN
easat-4929	259	30	-	-	PUNCT
easat-4929	259	31	scores	score	NOUN
easat-4929	259	32	greater	great	ADJ
easat-4929	259	33	than	than	ADP
easat-4929	259	34	3	3	NUM
easat-4929	259	35	.	.	PUNCT
easat-4929	260	1	some	some	DET
easat-4929	260	2	models	model	NOUN
easat-4929	260	3	do	do	AUX
easat-4929	260	4	not	not	PART
easat-4929	260	5	need	need	VERB
easat-4929	260	6	much	much	ADV
easat-4929	260	7	normalized	normalize	VERB
easat-4929	260	8	data	datum	NOUN
easat-4929	260	9	,	,	PUNCT
easat-4929	260	10	while	while	SCONJ
easat-4929	260	11	others	other	NOUN
easat-4929	260	12	,	,	PUNCT
easat-4929	260	13	including	include	VERB
easat-4929	260	14	logistic	logistic	ADJ
easat-4929	260	15	regression	regression	NOUN
easat-4929	260	16	,	,	PUNCT
easat-4929	260	17	perform	perform	VERB
easat-4929	260	18	better	well	ADV
easat-4929	260	19	when	when	SCONJ
easat-4929	260	20	they	they	PRON
easat-4929	260	21	have	have	VERB
easat-4929	260	22	features	feature	NOUN
easat-4929	260	23	normally	normally	ADV
easat-4929	260	24	distributed	distribute	VERB
easat-4929	260	25	.	.	PUNCT
easat-4929	261	1	to	to	PART
easat-4929	261	2	ensure	ensure	VERB
easat-4929	261	3	that	that	SCONJ
easat-4929	261	4	the	the	DET
easat-4929	261	5	numerical	numerical	ADJ
easat-4929	261	6	features	feature	NOUN
easat-4929	261	7	conformed	conform	VERB
easat-4929	261	8	to	to	ADP
easat-4929	261	9	a	a	DET
easat-4929	261	10	normal	normal	ADJ
easat-4929	261	11	distribution	distribution	NOUN
easat-4929	261	12	,	,	PUNCT
easat-4929	261	13	we	we	PRON
easat-4929	261	14	first	first	ADV
easat-4929	261	15	assessed	assess	VERB
easat-4929	261	16	each	each	DET
easat-4929	261	17	feature	feature	NOUN
easat-4929	261	18	's	's	PART
easat-4929	261	19	skewness	skewness	NOUN
easat-4929	261	20	and	and	CCONJ
easat-4929	261	21	kurtosis	kurtosis	NOUN
easat-4929	261	22	.	.	PUNCT
easat-4929	262	1	variables	variable	NOUN
easat-4929	262	2	such	such	ADJ
easat-4929	262	3	as	as	ADP
easat-4929	262	4	num_medications	num_medication	NOUN
easat-4929	262	5	,	,	PUNCT
easat-4929	262	6	time_in_hospital	time_in_hospital	PROPN
easat-4929	262	7	,	,	PUNCT
easat-4929	262	8	and	and	CCONJ
easat-4929	262	9	total_visits	total_visit	NOUN
easat-4929	262	10	exhibited	exhibit	VERB
easat-4929	262	11	noticeable	noticeable	ADJ
easat-4929	262	12	skewness	skewness	NOUN
easat-4929	262	13	,	,	PUNCT
easat-4929	262	14	with	with	ADP
easat-4929	262	15	total_visits	total_visit	NOUN
easat-4929	262	16	being	be	AUX
easat-4929	262	17	particularly	particularly	ADV
easat-4929	262	18	strongly	strongly	ADV
easat-4929	262	19	skewed	skewed	ADJ
easat-4929	262	20	with	with	ADP
easat-4929	262	21	a	a	DET
easat-4929	262	22	value	value	NOUN
easat-4929	262	23	of	of	ADP
easat-4929	262	24	5.682	5.682	NUM
easat-4929	262	25	.	.	PUNCT
easat-4929	263	1	the	the	DET
easat-4929	263	2	yeo	yeo	PROPN
easat-4929	263	3	-	-	PUNCT
easat-4929	263	4	johnson	johnson	PROPN
easat-4929	263	5	transformation	transformation	NOUN
easat-4929	263	6	was	be	AUX
easat-4929	263	7	utilized	utilize	VERB
easat-4929	263	8	to	to	PART
easat-4929	263	9	correct	correct	VERB
easat-4929	263	10	the	the	DET
easat-4929	263	11	skewness	skewness	NOUN
easat-4929	263	12	,	,	PUNCT
easat-4929	263	13	resulting	result	VERB
easat-4929	263	14	in	in	ADP
easat-4929	263	15	the	the	DET
easat-4929	263	16	normalization	normalization	NOUN
easat-4929	263	17	of	of	ADP
easat-4929	263	18	these	these	DET
easat-4929	263	19	features	feature	NOUN
easat-4929	263	20	.	.	PUNCT
easat-4929	264	1	post	post	ADJ
easat-4929	264	2	-	-	ADJ
easat-4929	264	3	transformation	transformation	ADJ
easat-4929	264	4	results	result	NOUN
easat-4929	264	5	showed	show	VERB
easat-4929	264	6	a	a	DET
easat-4929	264	7	reduction	reduction	NOUN
easat-4929	264	8	in	in	ADP
easat-4929	264	9	skewness	skewness	NOUN
easat-4929	264	10	across	across	ADP
easat-4929	264	11	all	all	DET
easat-4929	264	12	targeted	target	VERB
easat-4929	264	13	features	feature	NOUN
easat-4929	264	14	.	.	PUNCT
easat-4929	265	1	for	for	ADP
easat-4929	265	2	example	example	NOUN
easat-4929	265	3	,	,	PUNCT
easat-4929	265	4	the	the	DET
easat-4929	265	5	skewness	skewness	NOUN
easat-4929	265	6	of	of	ADP
easat-4929	265	7	total_visits	total_visit	NOUN
easat-4929	265	8	decreased	decrease	VERB
easat-4929	265	9	from	from	ADP
easat-4929	265	10	5.682	5.682	NUM
easat-4929	265	11	to	to	ADP
easat-4929	265	12	0.421	0.421	NUM
easat-4929	265	13	,	,	PUNCT
easat-4929	265	14	and	and	CCONJ
easat-4929	265	15	num_medications	num_medication	NOUN
easat-4929	265	16	shifted	shift	VERB
easat-4929	265	17	from	from	ADP
easat-4929	265	18	1.341	1.341	NUM
easat-4929	265	19	to	to	ADP
easat-4929	265	20	0.020	0.020	NUM
easat-4929	265	21	.	.	PUNCT
easat-4929	266	1	this	this	DET
easat-4929	266	2	transformation	transformation	NOUN
easat-4929	266	3	helped	helped	AUX
easat-4929	266	4	align	align	VERB
easat-4929	266	5	the	the	DET
easat-4929	266	6	features	feature	NOUN
easat-4929	266	7	closer	close	ADV
easat-4929	266	8	to	to	ADP
easat-4929	266	9	a	a	DET
easat-4929	266	10	normal	normal	ADJ
easat-4929	266	11	distribution	distribution	NOUN
easat-4929	266	12	,	,	PUNCT
easat-4929	266	13	which	which	PRON
easat-4929	266	14	benefits	benefit	VERB
easat-4929	266	15	many	many	ADJ
easat-4929	266	16	ml	ml	NOUN
easat-4929	266	17	algorithms	algorithm	NOUN
easat-4929	266	18	.	.	PUNCT
easat-4929	267	1	the	the	DET
easat-4929	267	2	yeo	yeo	PROPN
easat-4929	267	3	-	-	PUNCT
easat-4929	267	4	johnson	johnson	PROPN
easat-4929	267	5	transformation	transformation	NOUN
easat-4929	267	6	,	,	PUNCT
easat-4929	267	7	applied	apply	VERB
easat-4929	267	8	earlier	early	ADV
easat-4929	267	9	to	to	PART
easat-4929	267	10	correct	correct	VERB
easat-4929	267	11	skewness	skewness	NOUN
easat-4929	267	12	,	,	PUNCT
easat-4929	267	13	was	be	AUX
easat-4929	267	14	also	also	ADV
easat-4929	267	15	saved	save	VERB
easat-4929	267	16	using	use	VERB
easat-4929	267	17	joblib	joblib	NOUN
easat-4929	267	18	to	to	PART
easat-4929	267	19	ensure	ensure	VERB
easat-4929	267	20	consistency	consistency	NOUN
easat-4929	267	21	in	in	ADP
easat-4929	267	22	its	its	PRON
easat-4929	267	23	application	application	NOUN
easat-4929	267	24	to	to	ADP
easat-4929	267	25	the	the	DET
easat-4929	267	26	validation	validation	NOUN
easat-4929	267	27	and	and	CCONJ
easat-4929	267	28	test	test	NOUN
easat-4929	267	29	datasets	dataset	NOUN
easat-4929	267	30	.	.	PUNCT
easat-4929	268	1	by	by	ADP
easat-4929	268	2	saving	save	VERB
easat-4929	268	3	the	the	DET
easat-4929	268	4	transformer	transformer	NOUN
easat-4929	268	5	,	,	PUNCT
easat-4929	268	6	the	the	DET
easat-4929	268	7	exact	exact	ADJ
easat-4929	268	8	transformation	transformation	NOUN
easat-4929	268	9	applied	apply	VERB
easat-4929	268	10	during	during	ADP
easat-4929	268	11	training	training	NOUN
easat-4929	268	12	was	be	AUX
easat-4929	268	13	replicated	replicate	VERB
easat-4929	268	14	during	during	ADP
easat-4929	268	15	validation	validation	NOUN
easat-4929	268	16	and	and	CCONJ
easat-4929	268	17	testing	testing	NOUN
easat-4929	268	18	.	.	PUNCT
easat-4929	269	1	figure	figure	NOUN
easat-4929	269	2	5	5	NUM
easat-4929	269	3	.	.	PUNCT
easat-4929	269	4	correlation	correlation	NOUN
easat-4929	269	5	matrix	matrix	NOUN
easat-4929	269	6	for	for	ADP
easat-4929	269	7	numerical	numerical	ADJ
easat-4929	269	8	features	feature	NOUN
easat-4929	269	9	.	.	PUNCT
easat-4929	270	1	1814	1814	NUM
easat-4929	270	2	edelweiss	edelweiss	PROPN
easat-4929	270	3	applied	apply	VERB
easat-4929	270	4	science	science	NOUN
easat-4929	270	5	and	and	CCONJ
easat-4929	270	6	technology	technology	NOUN
easat-4929	270	7	issn	issn	PROPN
easat-4929	270	8	:	:	PUNCT
easat-4929	270	9	2576	2576	NUM
easat-4929	270	10	-	-	SYM
easat-4929	270	11	8484	8484	NUM
easat-4929	270	12	vol	vol	NOUN
easat-4929	270	13	.	.	PROPN
easat-4929	271	1	9	9	NUM
easat-4929	271	2	,	,	PUNCT
easat-4929	271	3	no	no	INTJ
easat-4929	271	4	.	.	NOUN
easat-4929	271	5	2	2	NUM
easat-4929	271	6	:	:	SYM
easat-4929	271	7	1803	1803	NUM
easat-4929	271	8	-	-	SYM
easat-4929	271	9	1829	1829	NUM
easat-4929	271	10	,	,	PUNCT
easat-4929	271	11	2025	2025	NUM
easat-4929	271	12	doi	doi	NOUN
easat-4929	271	13	:	:	PUNCT
easat-4929	271	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	271	15	©	©	PROPN
easat-4929	271	16	2025	2025	NUM
easat-4929	271	17	by	by	ADP
easat-4929	271	18	the	the	DET
easat-4929	271	19	authors	author	NOUN
easat-4929	271	20	;	;	PUNCT
easat-4929	271	21	licensee	licensee	PROPN
easat-4929	271	22	learning	learn	VERB
easat-4929	271	23	gate	gate	NOUN
easat-4929	271	24	after	after	SCONJ
easat-4929	271	25	the	the	DET
easat-4929	271	26	features	feature	NOUN
easat-4929	271	27	were	be	AUX
easat-4929	271	28	normalized	normalize	VERB
easat-4929	271	29	,	,	PUNCT
easat-4929	271	30	standardization	standardization	NOUN
easat-4929	271	31	was	be	AUX
easat-4929	271	32	applied	apply	VERB
easat-4929	271	33	to	to	PART
easat-4929	271	34	put	put	VERB
easat-4929	271	35	all	all	DET
easat-4929	271	36	features	feature	NOUN
easat-4929	271	37	on	on	ADP
easat-4929	271	38	a	a	DET
easat-4929	271	39	similar	similar	ADJ
easat-4929	271	40	scale	scale	NOUN
easat-4929	271	41	.	.	PUNCT
easat-4929	272	1	numerical	numerical	ADJ
easat-4929	272	2	features	feature	NOUN
easat-4929	272	3	were	be	AUX
easat-4929	272	4	scaled	scale	VERB
easat-4929	272	5	to	to	PART
easat-4929	272	6	have	have	VERB
easat-4929	272	7	a	a	DET
easat-4929	272	8	mean	mean	NOUN
easat-4929	272	9	of	of	ADP
easat-4929	272	10	0	0	NUM
easat-4929	272	11	and	and	CCONJ
easat-4929	272	12	a	a	DET
easat-4929	272	13	standard	standard	ADJ
easat-4929	272	14	deviation	deviation	NOUN
easat-4929	272	15	of	of	ADP
easat-4929	272	16	1	1	NUM
easat-4929	272	17	using	use	VERB
easat-4929	272	18	the	the	DET
easat-4929	272	19	standardscaler	standardscaler	NOUN
easat-4929	272	20	.	.	PUNCT
easat-4929	273	1	standardization	standardization	NOUN
easat-4929	273	2	was	be	AUX
easat-4929	273	3	preferred	prefer	VERB
easat-4929	273	4	over	over	ADP
easat-4929	273	5	alternative	alternative	ADJ
easat-4929	273	6	scaling	scale	VERB
easat-4929	273	7	techniques	technique	NOUN
easat-4929	273	8	primarily	primarily	ADV
easat-4929	273	9	because	because	SCONJ
easat-4929	273	10	it	it	PRON
easat-4929	273	11	maintains	maintain	VERB
easat-4929	273	12	the	the	DET
easat-4929	273	13	interpretability	interpretability	NOUN
easat-4929	273	14	of	of	ADP
easat-4929	273	15	the	the	DET
easat-4929	273	16	model	model	NOUN
easat-4929	273	17	's	's	PART
easat-4929	273	18	coefficients	coefficient	NOUN
easat-4929	273	19	,	,	PUNCT
easat-4929	273	20	particularly	particularly	ADV
easat-4929	273	21	in	in	ADP
easat-4929	273	22	linear	linear	ADJ
easat-4929	273	23	models	model	NOUN
easat-4929	273	24	and	and	CCONJ
easat-4929	273	25	regularization	regularization	NOUN
easat-4929	273	26	scenarios	scenario	NOUN
easat-4929	273	27	.	.	PUNCT
easat-4929	274	1	by	by	ADP
easat-4929	274	2	making	make	VERB
easat-4929	274	3	sure	sure	ADJ
easat-4929	274	4	that	that	SCONJ
easat-4929	274	5	all	all	DET
easat-4929	274	6	features	feature	NOUN
easat-4929	274	7	are	be	AUX
easat-4929	274	8	on	on	ADP
easat-4929	274	9	a	a	DET
easat-4929	274	10	similar	similar	ADJ
easat-4929	274	11	scale	scale	NOUN
easat-4929	274	12	,	,	PUNCT
easat-4929	274	13	the	the	DET
easat-4929	274	14	model	model	NOUN
easat-4929	274	15	can	can	AUX
easat-4929	274	16	converge	converge	VERB
easat-4929	274	17	more	more	ADV
easat-4929	274	18	efficiently	efficiently	ADV
easat-4929	274	19	and	and	CCONJ
easat-4929	274	20	perform	perform	VERB
easat-4929	274	21	gradient	gradient	NOUN
easat-4929	274	22	-	-	PUNCT
easat-4929	274	23	based	base	VERB
easat-4929	274	24	optimization	optimization	NOUN
easat-4929	274	25	more	more	ADV
easat-4929	274	26	effectively	effectively	ADV
easat-4929	274	27	,	,	PUNCT
easat-4929	274	28	as	as	SCONJ
easat-4929	274	29	no	no	DET
easat-4929	274	30	single	single	ADJ
easat-4929	274	31	feature	feature	NOUN
easat-4929	274	32	dominates	dominate	VERB
easat-4929	274	33	the	the	DET
easat-4929	274	34	learning	learning	NOUN
easat-4929	274	35	process	process	NOUN
easat-4929	274	36	due	due	ADP
easat-4929	274	37	to	to	ADP
easat-4929	274	38	its	its	PRON
easat-4929	274	39	scale	scale	NOUN
easat-4929	274	40	.	.	PUNCT
easat-4929	275	1	this	this	DET
easat-4929	275	2	approach	approach	NOUN
easat-4929	275	3	is	be	AUX
easat-4929	275	4	particularly	particularly	ADV
easat-4929	275	5	beneficial	beneficial	ADJ
easat-4929	275	6	for	for	ADP
easat-4929	275	7	gradient	gradient	NOUN
easat-4929	275	8	-	-	PUNCT
easat-4929	275	9	based	base	VERB
easat-4929	275	10	optimization	optimization	NOUN
easat-4929	275	11	algorithms	algorithm	NOUN
easat-4929	275	12	like	like	ADP
easat-4929	275	13	logistic	logistic	ADJ
easat-4929	275	14	regression	regression	NOUN
easat-4929	275	15	and	and	CCONJ
easat-4929	275	16	support	support	VERB
easat-4929	275	17	vector	vector	NOUN
easat-4929	275	18	machines	machine	NOUN
easat-4929	275	19	,	,	PUNCT
easat-4929	275	20	where	where	SCONJ
easat-4929	275	21	the	the	DET
easat-4929	275	22	scale	scale	NOUN
easat-4929	275	23	of	of	ADP
easat-4929	275	24	the	the	DET
easat-4929	275	25	input	input	NOUN
easat-4929	275	26	data	datum	NOUN
easat-4929	275	27	can	can	AUX
easat-4929	275	28	significantly	significantly	ADV
easat-4929	275	29	impact	impact	VERB
easat-4929	275	30	the	the	DET
easat-4929	275	31	convergence	convergence	NOUN
easat-4929	275	32	speed	speed	NOUN
easat-4929	275	33	and	and	CCONJ
easat-4929	275	34	stability	stability	NOUN
easat-4929	275	35	of	of	ADP
easat-4929	275	36	the	the	DET
easat-4929	275	37	model	model	NOUN
easat-4929	275	38	.	.	PUNCT
easat-4929	276	1	lastly	lastly	ADV
easat-4929	276	2	the	the	DET
easat-4929	276	3	same	same	ADJ
easat-4929	276	4	scaler	scaler	NOUN
easat-4929	276	5	was	be	AUX
easat-4929	276	6	saved	save	VERB
easat-4929	276	7	and	and	CCONJ
easat-4929	276	8	applied	apply	VERB
easat-4929	276	9	to	to	ADP
easat-4929	276	10	the	the	DET
easat-4929	276	11	test	test	NOUN
easat-4929	276	12	and	and	CCONJ
easat-4929	276	13	validation	validation	NOUN
easat-4929	276	14	datasets	dataset	NOUN
easat-4929	276	15	,	,	PUNCT
easat-4929	276	16	to	to	PART
easat-4929	276	17	guarantee	guarantee	VERB
easat-4929	276	18	consistency	consistency	NOUN
easat-4929	276	19	across	across	ADP
easat-4929	276	20	different	different	ADJ
easat-4929	276	21	datasets	dataset	NOUN
easat-4929	276	22	.	.	PUNCT
easat-4929	277	1	after	after	SCONJ
easat-4929	277	2	standardization	standardization	NOUN
easat-4929	277	3	results	result	NOUN
easat-4929	277	4	showed	show	VERB
easat-4929	277	5	that	that	SCONJ
easat-4929	277	6	all	all	DET
easat-4929	277	7	features	feature	NOUN
easat-4929	277	8	were	be	AUX
easat-4929	277	9	effectively	effectively	ADV
easat-4929	277	10	centered	center	VERB
easat-4929	277	11	and	and	CCONJ
easat-4929	277	12	scaled	scale	VERB
easat-4929	277	13	,	,	PUNCT
easat-4929	277	14	as	as	SCONJ
easat-4929	277	15	they	they	PRON
easat-4929	277	16	had	have	AUX
easat-4929	277	17	means	mean	VERB
easat-4929	277	18	close	close	ADJ
easat-4929	277	19	to	to	ADP
easat-4929	277	20	0	0	NUM
easat-4929	277	21	and	and	CCONJ
easat-4929	277	22	standard	standard	ADJ
easat-4929	277	23	deviations	deviation	NOUN
easat-4929	277	24	close	close	ADV
easat-4929	277	25	to	to	ADP
easat-4929	277	26	1	1	NUM
easat-4929	277	27	.	.	ADP
easat-4929	277	28	3.3	3.3	NUM
easat-4929	277	29	.	.	PUNCT
easat-4929	278	1	correlation	correlation	NOUN
easat-4929	278	2	analysis	analysis	NOUN
easat-4929	278	3	evaluating	evaluating	NOUN
easat-4929	278	4	and	and	CCONJ
easat-4929	278	5	understanding	understand	VERB
easat-4929	278	6	how	how	SCONJ
easat-4929	278	7	variables	variable	NOUN
easat-4929	278	8	are	be	AUX
easat-4929	278	9	related	relate	VERB
easat-4929	278	10	to	to	ADP
easat-4929	278	11	each	each	DET
easat-4929	278	12	other	other	ADJ
easat-4929	278	13	,	,	PUNCT
easat-4929	278	14	which	which	PRON
easat-4929	278	15	can	can	AUX
easat-4929	278	16	be	be	AUX
easat-4929	278	17	useful	useful	ADJ
easat-4929	278	18	for	for	ADP
easat-4929	278	19	feature	feature	NOUN
easat-4929	278	20	selection	selection	NOUN
easat-4929	278	21	,	,	PUNCT
easat-4929	278	22	hypothesis	hypothesis	NOUN
easat-4929	278	23	testing	testing	NOUN
easat-4929	278	24	,	,	PUNCT
easat-4929	278	25	and	and	CCONJ
easat-4929	278	26	predictive	predictive	ADJ
easat-4929	278	27	modelling	modelling	NOUN
easat-4929	278	28	we	we	PRON
easat-4929	278	29	made	make	VERB
easat-4929	278	30	the	the	DET
easat-4929	278	31	following	follow	VERB
easat-4929	278	32	analysis	analysis	NOUN
easat-4929	278	33	:	:	PUNCT
easat-4929	278	34	a	a	DET
easat-4929	278	35	correlation	correlation	NOUN
easat-4929	278	36	analysis	analysis	NOUN
easat-4929	278	37	was	be	AUX
easat-4929	278	38	conducted	conduct	VERB
easat-4929	278	39	to	to	PART
easat-4929	278	40	ensure	ensure	VERB
easat-4929	278	41	that	that	SCONJ
easat-4929	278	42	the	the	DET
easat-4929	278	43	dataset	dataset	NOUN
easat-4929	278	44	's	's	PART
easat-4929	278	45	numerical	numerical	ADJ
easat-4929	278	46	features	feature	NOUN
easat-4929	278	47	were	be	AUX
easat-4929	278	48	properly	properly	ADV
easat-4929	278	49	independent	independent	ADJ
easat-4929	278	50	of	of	ADP
easat-4929	278	51	one	one	NUM
easat-4929	278	52	another	another	DET
easat-4929	278	53	and	and	CCONJ
easat-4929	278	54	the	the	DET
easat-4929	278	55	main	main	ADJ
easat-4929	278	56	goals	goal	NOUN
easat-4929	278	57	were	be	AUX
easat-4929	278	58	:	:	PUNCT
easat-4929	278	59	•	•	ADP
easat-4929	278	60	to	to	PART
easat-4929	278	61	determine	determine	VERB
easat-4929	278	62	which	which	DET
easat-4929	278	63	feature	feature	NOUN
easat-4929	278	64	pairings	pairing	NOUN
easat-4929	278	65	,	,	PUNCT
easat-4929	278	66	revealed	reveal	VERB
easat-4929	278	67	a	a	DET
easat-4929	278	68	strong	strong	ADJ
easat-4929	278	69	linear	linear	NOUN
easat-4929	278	70	relationship	relationship	NOUN
easat-4929	278	71	,	,	PUNCT
easat-4929	278	72	as	as	SCONJ
easat-4929	278	73	indicated	indicate	VERB
easat-4929	278	74	by	by	ADP
easat-4929	278	75	pearson	pearson	PROPN
easat-4929	278	76	correlation	correlation	NOUN
easat-4929	278	77	coefficients	coefficient	NOUN
easat-4929	278	78	.	.	PUNCT
easat-4929	279	1	•	•	NOUN
easat-4929	279	2	to	to	PART
easat-4929	279	3	detect	detect	VERB
easat-4929	279	4	potential	potential	ADJ
easat-4929	279	5	multicollinearity	multicollinearity	NOUN
easat-4929	279	6	issues	issue	NOUN
easat-4929	279	7	,	,	PUNCT
easat-4929	279	8	which	which	PRON
easat-4929	279	9	could	could	AUX
easat-4929	279	10	negatively	negatively	ADV
easat-4929	279	11	impact	impact	VERB
easat-4929	279	12	model	model	NOUN
easat-4929	279	13	performance	performance	NOUN
easat-4929	279	14	,	,	PUNCT
easat-4929	279	15	particularly	particularly	ADV
easat-4929	279	16	in	in	ADP
easat-4929	279	17	linear	linear	ADJ
easat-4929	279	18	models	model	NOUN
easat-4929	279	19	.	.	PUNCT
easat-4929	280	1	the	the	DET
easat-4929	280	2	correlation	correlation	NOUN
easat-4929	280	3	between	between	ADP
easat-4929	280	4	each	each	DET
easat-4929	280	5	pair	pair	NOUN
easat-4929	280	6	of	of	ADP
easat-4929	280	7	numerical	numerical	ADJ
easat-4929	280	8	features	feature	NOUN
easat-4929	280	9	was	be	AUX
easat-4929	280	10	measured	measure	VERB
easat-4929	280	11	using	use	VERB
easat-4929	280	12	the	the	DET
easat-4929	280	13	pearson	pearson	PROPN
easat-4929	280	14	correlation	correlation	NOUN
easat-4929	280	15	coefficient	coefficient	NOUN
easat-4929	280	16	,	,	PUNCT
easat-4929	280	17	which	which	PRON
easat-4929	280	18	was	be	AUX
easat-4929	280	19	computed	compute	VERB
easat-4929	280	20	by	by	ADP
easat-4929	280	21	the	the	DET
easat-4929	280	22	correlation	correlation	NOUN
easat-4929	280	23	matrix	matrix	NOUN
easat-4929	280	24	.	.	PUNCT
easat-4929	281	1	after	after	ADP
easat-4929	281	2	this	this	PRON
easat-4929	281	3	,	,	PUNCT
easat-4929	281	4	the	the	DET
easat-4929	281	5	variance	variance	NOUN
easat-4929	281	6	inflation	inflation	NOUN
easat-4929	281	7	factor	factor	NOUN
easat-4929	281	8	(	(	PUNCT
easat-4929	281	9	vif	vif	NOUN
easat-4929	281	10	)	)	PUNCT
easat-4929	281	11	was	be	AUX
easat-4929	281	12	calculated	calculate	VERB
easat-4929	281	13	for	for	SCONJ
easat-4929	281	14	each	each	DET
easat-4929	281	15	feature	feature	NOUN
easat-4929	281	16	to	to	PART
easat-4929	281	17	quantify	quantify	VERB
easat-4929	281	18	the	the	DET
easat-4929	281	19	degree	degree	NOUN
easat-4929	281	20	of	of	ADP
easat-4929	281	21	multicollinearity	multicollinearity	NOUN
easat-4929	281	22	.	.	PUNCT
easat-4929	282	1	overall	overall	ADJ
easat-4929	282	2	,	,	PUNCT
easat-4929	282	3	according	accord	VERB
easat-4929	282	4	to	to	ADP
easat-4929	282	5	the	the	DET
easat-4929	282	6	correlation	correlation	NOUN
easat-4929	282	7	matrix	matrix	NOUN
easat-4929	282	8	in	in	ADP
easat-4929	282	9	the	the	DET
easat-4929	282	10	figure	figure	NOUN
easat-4929	282	11	5	5	NUM
easat-4929	282	12	,	,	PUNCT
easat-4929	282	13	most	most	ADJ
easat-4929	282	14	features	feature	NOUN
easat-4929	282	15	are	be	AUX
easat-4929	282	16	weakly	weakly	ADV
easat-4929	282	17	associated	associate	VERB
easat-4929	282	18	with	with	ADP
easat-4929	282	19	each	each	DET
easat-4929	282	20	other	other	ADJ
easat-4929	282	21	.	.	PUNCT
easat-4929	283	1	the	the	DET
easat-4929	283	2	color	color	NOUN
easat-4929	283	3	gradients	gradient	NOUN
easat-4929	283	4	in	in	ADP
easat-4929	283	5	the	the	DET
easat-4929	283	6	heatmap	heatmap	NOUN
easat-4929	283	7	suggests	suggest	VERB
easat-4929	283	8	that	that	SCONJ
easat-4929	283	9	the	the	DET
easat-4929	283	10	majority	majority	NOUN
easat-4929	283	11	of	of	ADP
easat-4929	283	12	the	the	DET
easat-4929	283	13	feature	feature	NOUN
easat-4929	283	14	pairs	pair	NOUN
easat-4929	283	15	have	have	VERB
easat-4929	283	16	a	a	DET
easat-4929	283	17	correlation	correlation	NOUN
easat-4929	283	18	coefficient	coefficient	NOUN
easat-4929	283	19	close	close	ADV
easat-4929	283	20	to	to	ADP
easat-4929	283	21	0	0	NUM
easat-4929	283	22	,	,	PUNCT
easat-4929	283	23	indicating	indicate	VERB
easat-4929	283	24	that	that	SCONJ
easat-4929	283	25	the	the	DET
easat-4929	283	26	features	feature	NOUN
easat-4929	283	27	are	be	AUX
easat-4929	283	28	generally	generally	ADV
easat-4929	283	29	independent	independent	ADJ
easat-4929	283	30	from	from	ADP
easat-4929	283	31	each	each	DET
easat-4929	283	32	other	other	ADJ
easat-4929	283	33	.	.	PUNCT
easat-4929	284	1	the	the	DET
easat-4929	284	2	results	result	NOUN
easat-4929	284	3	are	be	AUX
easat-4929	284	4	useful	useful	ADJ
easat-4929	284	5	for	for	ADP
easat-4929	284	6	the	the	DET
easat-4929	284	7	model	model	NOUN
easat-4929	284	8	's	's	PART
easat-4929	284	9	performance	performance	NOUN
easat-4929	284	10	,	,	PUNCT
easat-4929	284	11	as	as	SCONJ
easat-4929	284	12	it	it	PRON
easat-4929	284	13	implies	imply	VERB
easat-4929	284	14	that	that	SCONJ
easat-4929	284	15	each	each	DET
easat-4929	284	16	feature	feature	NOUN
easat-4929	284	17	contributes	contribute	VERB
easat-4929	284	18	unique	unique	ADJ
easat-4929	284	19	information	information	NOUN
easat-4929	284	20	to	to	ADP
easat-4929	284	21	the	the	DET
easat-4929	284	22	model	model	NOUN
easat-4929	284	23	.	.	PUNCT
easat-4929	285	1	the	the	DET
easat-4929	285	2	strongest	strong	ADJ
easat-4929	285	3	relationship	relationship	NOUN
easat-4929	285	4	was	be	AUX
easat-4929	285	5	observed	observe	VERB
easat-4929	285	6	between	between	ADP
easat-4929	285	7	time_in_hospital	time_in_hospital	PROPN
easat-4929	285	8	and	and	CCONJ
easat-4929	285	9	num_medications	num_medication	NOUN
easat-4929	285	10	,	,	PUNCT
easat-4929	285	11	with	with	ADP
easat-4929	285	12	a	a	DET
easat-4929	285	13	correlation	correlation	NOUN
easat-4929	285	14	coefficient	coefficient	NOUN
easat-4929	285	15	of	of	ADP
easat-4929	285	16	0.47	0.47	NUM
easat-4929	285	17	.	.	PUNCT
easat-4929	286	1	this	this	PRON
easat-4929	286	2	suggests	suggest	VERB
easat-4929	286	3	that	that	SCONJ
easat-4929	286	4	patients	patient	NOUN
easat-4929	286	5	who	who	PRON
easat-4929	286	6	stayed	stay	VERB
easat-4929	286	7	longer	long	ADV
easat-4929	286	8	in	in	ADP
easat-4929	286	9	the	the	DET
easat-4929	286	10	hospital	hospital	NOUN
easat-4929	286	11	tended	tend	VERB
easat-4929	286	12	to	to	PART
easat-4929	286	13	receive	receive	VERB
easat-4929	286	14	more	more	ADJ
easat-4929	286	15	medications	medication	NOUN
easat-4929	286	16	.	.	PUNCT
easat-4929	287	1	additional	additional	ADJ
easat-4929	287	2	moderate	moderate	ADJ
easat-4929	287	3	correlations	correlation	NOUN
easat-4929	287	4	were	be	AUX
easat-4929	287	5	identified	identify	VERB
easat-4929	287	6	between	between	ADP
easat-4929	287	7	num_medications	num_medication	NOUN
easat-4929	287	8	and	and	CCONJ
easat-4929	287	9	num_procedures	num_procedure	NOUN
easat-4929	287	10	(	(	PUNCT
easat-4929	287	11	0.36	0.36	NUM
easat-4929	287	12	)	)	PUNCT
easat-4929	287	13	and	and	CCONJ
easat-4929	287	14	time_in_hospital	time_in_hospital	PROPN
easat-4929	287	15	and	and	CCONJ
easat-4929	287	16	num_lab_procedures	num_lab_procedure	NOUN
easat-4929	287	17	(	(	PUNCT
easat-4929	287	18	0.33	0.33	NUM
easat-4929	287	19	)	)	PUNCT
easat-4929	287	20	.	.	PUNCT
easat-4929	288	1	these	these	DET
easat-4929	288	2	correlations	correlation	NOUN
easat-4929	288	3	indicate	indicate	VERB
easat-4929	288	4	a	a	DET
easat-4929	288	5	degree	degree	NOUN
easat-4929	288	6	of	of	ADP
easat-4929	288	7	association	association	NOUN
easat-4929	288	8	but	but	CCONJ
easat-4929	288	9	are	be	AUX
easat-4929	288	10	insufficient	insufficient	ADJ
easat-4929	288	11	to	to	PART
easat-4929	288	12	suggest	suggest	VERB
easat-4929	288	13	redundancy	redundancy	NOUN
easat-4929	288	14	.	.	PUNCT
easat-4929	289	1	finally	finally	ADV
easat-4929	289	2	,	,	PUNCT
easat-4929	289	3	most	most	ADJ
easat-4929	289	4	other	other	ADJ
easat-4929	289	5	pairs	pair	NOUN
easat-4929	289	6	exhibited	exhibit	VERB
easat-4929	289	7	relatively	relatively	ADV
easat-4929	289	8	low	low	ADJ
easat-4929	289	9	correlations	correlation	NOUN
easat-4929	289	10	,	,	PUNCT
easat-4929	289	11	indicating	indicate	VERB
easat-4929	289	12	that	that	SCONJ
easat-4929	289	13	the	the	DET
easat-4929	289	14	majority	majority	NOUN
easat-4929	289	15	of	of	ADP
easat-4929	289	16	features	feature	NOUN
easat-4929	289	17	were	be	AUX
easat-4929	289	18	fairly	fairly	ADV
easat-4929	289	19	independent	independent	ADJ
easat-4929	289	20	of	of	ADP
easat-4929	289	21	one	one	NUM
easat-4929	289	22	another	another	DET
easat-4929	289	23	.	.	PUNCT
easat-4929	290	1	regarding	regard	VERB
easat-4929	290	2	multicollinearity	multicollinearity	NOUN
easat-4929	290	3	,	,	PUNCT
easat-4929	290	4	all	all	DET
easat-4929	290	5	features	feature	NOUN
easat-4929	290	6	had	have	VERB
easat-4929	290	7	low	low	ADJ
easat-4929	290	8	vif	vif	NOUN
easat-4929	290	9	scores	score	NOUN
easat-4929	290	10	,	,	PUNCT
easat-4929	290	11	with	with	ADP
easat-4929	290	12	values	value	NOUN
easat-4929	290	13	close	close	ADJ
easat-4929	290	14	to	to	ADP
easat-4929	290	15	1	1	NUM
easat-4929	290	16	.	.	PUNCT
easat-4929	291	1	the	the	DET
easat-4929	291	2	feature	feature	NOUN
easat-4929	291	3	num_medications	num_medication	NOUN
easat-4929	291	4	had	have	VERB
easat-4929	291	5	the	the	DET
easat-4929	291	6	highest	high	ADJ
easat-4929	291	7	vif	vif	NOUN
easat-4929	291	8	of	of	ADP
easat-4929	291	9	1.51	1.51	NUM
easat-4929	291	10	,	,	PUNCT
easat-4929	291	11	followed	follow	VERB
easat-4929	291	12	by	by	ADP
easat-4929	291	13	time_in_hospital	time_in_hospital	PROPN
easat-4929	291	14	with	with	ADP
easat-4929	291	15	a	a	DET
easat-4929	291	16	vif	vif	NOUN
easat-4929	291	17	of	of	ADP
easat-4929	291	18	1.37	1.37	NUM
easat-4929	291	19	.	.	PUNCT
easat-4929	292	1	these	these	DET
easat-4929	292	2	values	value	NOUN
easat-4929	292	3	suggest	suggest	VERB
easat-4929	292	4	that	that	SCONJ
easat-4929	292	5	none	none	NOUN
easat-4929	292	6	of	of	ADP
easat-4929	292	7	the	the	DET
easat-4929	292	8	features	feature	NOUN
easat-4929	292	9	exhibit	exhibit	VERB
easat-4929	292	10	significant	significant	ADJ
easat-4929	292	11	multicollinearity	multicollinearity	NOUN
easat-4929	292	12	.	.	PUNCT
easat-4929	293	1	after	after	ADP
easat-4929	293	2	the	the	DET
easat-4929	293	3	above	above	ADJ
easat-4929	293	4	conclusions	conclusion	NOUN
easat-4929	293	5	,	,	PUNCT
easat-4929	293	6	we	we	PRON
easat-4929	293	7	should	should	AUX
easat-4929	293	8	take	take	VERB
easat-4929	293	9	into	into	ADP
easat-4929	293	10	account	account	NOUN
easat-4929	293	11	the	the	DET
easat-4929	293	12	strongest	strong	ADJ
easat-4929	293	13	correlation	correlation	NOUN
easat-4929	293	14	and	and	CCONJ
easat-4929	293	15	the	the	DET
easat-4929	293	16	clinical	clinical	ADJ
easat-4929	293	17	relevance	relevance	NOUN
easat-4929	293	18	.	.	PUNCT
easat-4929	294	1	based	base	VERB
easat-4929	294	2	on	on	ADP
easat-4929	294	3	the	the	DET
easat-4929	294	4	results	result	NOUN
easat-4929	294	5	of	of	ADP
easat-4929	294	6	the	the	DET
easat-4929	294	7	correlation	correlation	NOUN
easat-4929	294	8	analysis	analysis	NOUN
easat-4929	294	9	and	and	CCONJ
easat-4929	294	10	vif	vif	NOUN
easat-4929	294	11	calculations	calculation	NOUN
easat-4929	294	12	,	,	PUNCT
easat-4929	294	13	all	all	DET
easat-4929	294	14	numerical	numerical	ADJ
easat-4929	294	15	features	feature	NOUN
easat-4929	294	16	in	in	ADP
easat-4929	294	17	the	the	DET
easat-4929	294	18	dataset	dataset	NOUN
easat-4929	294	19	were	be	AUX
easat-4929	294	20	kept	keep	VERB
easat-4929	294	21	.	.	PUNCT
easat-4929	295	1	the	the	DET
easat-4929	295	2	correlation	correlation	NOUN
easat-4929	295	3	coefficients	coefficient	NOUN
easat-4929	295	4	did	do	AUX
easat-4929	295	5	not	not	PART
easat-4929	295	6	reveal	reveal	VERB
easat-4929	295	7	any	any	DET
easat-4929	295	8	notably	notably	ADV
easat-4929	295	9	strong	strong	ADJ
easat-4929	295	10	relationships	relationship	NOUN
easat-4929	295	11	,	,	PUNCT
easat-4929	295	12	and	and	CCONJ
easat-4929	295	13	the	the	DET
easat-4929	295	14	vif	vif	NOUN
easat-4929	295	15	scores	score	NOUN
easat-4929	295	16	were	be	AUX
easat-4929	295	17	well	well	ADV
easat-4929	295	18	within	within	ADP
easat-4929	295	19	acceptable	acceptable	ADJ
easat-4929	295	20	limits	limit	NOUN
easat-4929	295	21	,	,	PUNCT
easat-4929	295	22	indicating	indicate	VERB
easat-4929	295	23	no	no	DET
easat-4929	295	24	significant	significant	ADJ
easat-4929	295	25	multicollinearity	multicollinearity	NOUN
easat-4929	295	26	issues	issue	NOUN
easat-4929	295	27	.	.	PUNCT
easat-4929	296	1	although	although	SCONJ
easat-4929	296	2	the	the	DET
easat-4929	296	3	strongest	strong	ADJ
easat-4929	296	4	relationship	relationship	NOUN
easat-4929	296	5	was	be	AUX
easat-4929	296	6	observed	observe	VERB
easat-4929	296	7	between	between	ADP
easat-4929	296	8	time_in_hospital	time_in_hospital	PROPN
easat-4929	296	9	and	and	CCONJ
easat-4929	296	10	num_medications	num_medication	NOUN
easat-4929	296	11	,	,	PUNCT
easat-4929	296	12	it	it	PRON
easat-4929	296	13	exhibited	exhibit	VERB
easat-4929	296	14	a	a	DET
easat-4929	296	15	correlation	correlation	NOUN
easat-4929	296	16	coefficient	coefficient	NOUN
easat-4929	296	17	below	below	ADP
easat-4929	296	18	0.5	0.5	NUM
easat-4929	296	19	,	,	PUNCT
easat-4929	296	20	which	which	PRON
easat-4929	296	21	is	be	AUX
easat-4929	296	22	generally	generally	ADV
easat-4929	296	23	not	not	PART
easat-4929	296	24	considered	consider	VERB
easat-4929	296	25	an	an	DET
easat-4929	296	26	issue	issue	NOUN
easat-4929	296	27	.	.	PUNCT
easat-4929	297	1	the	the	DET
easat-4929	297	2	found	find	VERB
easat-4929	297	3	association	association	NOUN
easat-4929	297	4	between	between	ADP
easat-4929	297	5	time_in_hospital	time_in_hospital	PROPN
easat-4929	297	6	and	and	CCONJ
easat-4929	297	7	number_of_medications	number_of_medications	PROPN
easat-4929	297	8	were	be	AUX
easat-4929	297	9	recognized	recognize	VERB
easat-4929	297	10	as	as	ADP
easat-4929	297	11	potentially	potentially	ADV
easat-4929	297	12	clinically	clinically	ADV
easat-4929	297	13	relevant	relevant	ADJ
easat-4929	297	14	.	.	PUNCT
easat-4929	298	1	this	this	DET
easat-4929	298	2	relationship	relationship	NOUN
easat-4929	298	3	could	could	AUX
easat-4929	298	4	provide	provide	VERB
easat-4929	298	5	valuable	valuable	ADJ
easat-4929	298	6	insights	insight	NOUN
easat-4929	298	7	about	about	ADP
easat-4929	298	8	patient	patient	NOUN
easat-4929	298	9	care	care	NOUN
easat-4929	298	10	patterns	pattern	NOUN
easat-4929	298	11	.	.	PUNCT
easat-4929	299	1	1815	1815	NUM
easat-4929	299	2	edelweiss	edelweiss	PROPN
easat-4929	299	3	applied	apply	VERB
easat-4929	299	4	science	science	NOUN
easat-4929	299	5	and	and	CCONJ
easat-4929	299	6	technology	technology	NOUN
easat-4929	299	7	issn	issn	PROPN
easat-4929	299	8	:	:	PUNCT
easat-4929	299	9	2576	2576	NUM
easat-4929	299	10	-	-	SYM
easat-4929	299	11	8484	8484	NUM
easat-4929	299	12	vol	vol	NOUN
easat-4929	299	13	.	.	PROPN
easat-4929	300	1	9	9	NUM
easat-4929	300	2	,	,	PUNCT
easat-4929	300	3	no	no	INTJ
easat-4929	300	4	.	.	NOUN
easat-4929	300	5	2	2	NUM
easat-4929	300	6	:	:	SYM
easat-4929	300	7	1803	1803	NUM
easat-4929	300	8	-	-	SYM
easat-4929	300	9	1829	1829	NUM
easat-4929	300	10	,	,	PUNCT
easat-4929	300	11	2025	2025	NUM
easat-4929	300	12	doi	doi	NOUN
easat-4929	300	13	:	:	PUNCT
easat-4929	300	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	300	15	©	©	PROPN
easat-4929	300	16	2025	2025	NUM
easat-4929	300	17	by	by	ADP
easat-4929	300	18	the	the	DET
easat-4929	300	19	authors	author	NOUN
easat-4929	300	20	;	;	PUNCT
easat-4929	300	21	licensee	licensee	PROPN
easat-4929	300	22	learning	learning	NOUN
easat-4929	300	23	gate	gate	PROPN
easat-4929	300	24	initial	initial	ADJ
easat-4929	300	25	data	datum	NOUN
easat-4929	300	26	split	split	NOUN
easat-4929	300	27	is	be	AUX
easat-4929	300	28	a	a	DET
easat-4929	300	29	very	very	ADV
easat-4929	300	30	important	important	ADJ
easat-4929	300	31	phase	phase	NOUN
easat-4929	300	32	in	in	ADP
easat-4929	300	33	ml	ml	NOUN
easat-4929	300	34	and	and	CCONJ
easat-4929	300	35	data	datum	NOUN
easat-4929	300	36	analysis	analysis	NOUN
easat-4929	300	37	.	.	PUNCT
easat-4929	301	1	to	to	PART
easat-4929	301	2	ensure	ensure	VERB
easat-4929	301	3	the	the	DET
easat-4929	301	4	model	model	NOUN
easat-4929	301	5	is	be	AUX
easat-4929	301	6	tested	test	VERB
easat-4929	301	7	on	on	ADP
easat-4929	301	8	unseen	unseen	ADJ
easat-4929	301	9	data	datum	NOUN
easat-4929	301	10	,	,	PUNCT
easat-4929	301	11	the	the	DET
easat-4929	301	12	training	training	NOUN
easat-4929	301	13	,	,	PUNCT
easat-4929	301	14	validation	validation	NOUN
easat-4929	301	15	,	,	PUNCT
easat-4929	301	16	and	and	CCONJ
easat-4929	301	17	testing	testing	NOUN
easat-4929	301	18	datasets	dataset	NOUN
easat-4929	301	19	were	be	AUX
easat-4929	301	20	prepared	prepare	VERB
easat-4929	301	21	,	,	PUNCT
easat-4929	301	22	these	these	DET
easat-4929	301	23	steps	step	NOUN
easat-4929	301	24	were	be	AUX
easat-4929	301	25	taken	take	VERB
easat-4929	301	26	prior	prior	ADV
easat-4929	301	27	any	any	DET
easat-4929	301	28	form	form	NOUN
easat-4929	301	29	of	of	ADP
easat-4929	301	30	data	datum	NOUN
easat-4929	301	31	manipulation	manipulation	NOUN
easat-4929	301	32	.	.	PUNCT
easat-4929	302	1	data	datum	NOUN
easat-4929	302	2	leakage	leakage	NOUN
easat-4929	302	3	occurs	occur	VERB
easat-4929	302	4	when	when	SCONJ
easat-4929	302	5	the	the	DET
easat-4929	302	6	model	model	NOUN
easat-4929	302	7	is	be	AUX
easat-4929	302	8	trained	train	VERB
easat-4929	302	9	on	on	ADP
easat-4929	302	10	information	information	NOUN
easat-4929	302	11	that	that	PRON
easat-4929	302	12	wo	will	AUX
easat-4929	302	13	n't	not	PART
easat-4929	302	14	be	be	AUX
easat-4929	302	15	accessible	accessible	ADJ
easat-4929	302	16	knows	know	VERB
easat-4929	302	17	in	in	ADP
easat-4929	302	18	the	the	DET
easat-4929	302	19	real	real	ADJ
easat-4929	302	20	word	word	NOUN
easat-4929	302	21	.	.	PUNCT
easat-4929	303	1	as	as	ADP
easat-4929	303	2	a	a	DET
easat-4929	303	3	result	result	NOUN
easat-4929	303	4	,	,	PUNCT
easat-4929	303	5	there	there	PRON
easat-4929	303	6	is	be	VERB
easat-4929	303	7	excessive	excessive	ADJ
easat-4929	303	8	prediction	prediction	NOUN
easat-4929	303	9	of	of	ADP
easat-4929	303	10	the	the	DET
easat-4929	303	11	model	model	NOUN
easat-4929	303	12	's	's	PART
easat-4929	303	13	performance	performance	NOUN
easat-4929	303	14	[	[	X
easat-4929	303	15	21	21	NUM
easat-4929	303	16	]	]	PUNCT
easat-4929	303	17	.	.	PUNCT
easat-4929	304	1	for	for	ADP
easat-4929	304	2	the	the	DET
easat-4929	304	3	purpose	purpose	NOUN
easat-4929	304	4	of	of	ADP
easat-4929	304	5	minimizing	minimize	VERB
easat-4929	304	6	data	datum	NOUN
easat-4929	304	7	leakage	leakage	NOUN
easat-4929	304	8	risks	risk	NOUN
easat-4929	304	9	,	,	PUNCT
easat-4929	304	10	we	we	PRON
easat-4929	304	11	implemented	implement	VERB
easat-4929	304	12	an	an	DET
easat-4929	304	13	approach	approach	NOUN
easat-4929	304	14	where	where	SCONJ
easat-4929	304	15	the	the	DET
easat-4929	304	16	datasets	dataset	NOUN
easat-4929	304	17	were	be	AUX
easat-4929	304	18	partitioned	partition	VERB
easat-4929	304	19	after	after	ADP
easat-4929	304	20	being	be	AUX
easat-4929	304	21	shuffled	shuffle	VERB
easat-4929	304	22	with	with	ADP
easat-4929	304	23	a	a	DET
easat-4929	304	24	random	random	ADJ
easat-4929	304	25	state	state	NOUN
easat-4929	304	26	value	value	NOUN
easat-4929	304	27	of	of	ADP
easat-4929	304	28	123	123	NUM
easat-4929	304	29	.	.	PUNCT
easat-4929	305	1	the	the	DET
easat-4929	305	2	reasoning	reasoning	NOUN
easat-4929	305	3	behind	behind	ADP
easat-4929	305	4	this	this	PRON
easat-4929	305	5	is	be	AUX
easat-4929	305	6	to	to	PART
easat-4929	305	7	ensure	ensure	VERB
easat-4929	305	8	randomized	randomized	ADJ
easat-4929	305	9	in	in	ADP
easat-4929	305	10	the	the	DET
easat-4929	305	11	splits	split	NOUN
easat-4929	305	12	.	.	PUNCT
easat-4929	306	1	subsequently	subsequently	ADV
easat-4929	306	2	,	,	PUNCT
easat-4929	306	3	30	30	NUM
easat-4929	306	4	%	%	NOUN
easat-4929	306	5	of	of	ADP
easat-4929	306	6	the	the	DET
easat-4929	306	7	data	datum	NOUN
easat-4929	306	8	was	be	AUX
easat-4929	306	9	allocated	allocate	VERB
easat-4929	306	10	to	to	ADP
easat-4929	306	11	a	a	DET
easat-4929	306	12	combined	combine	VERB
easat-4929	306	13	validation	validation	NOUN
easat-4929	306	14	/	/	SYM
easat-4929	306	15	test	test	NOUN
easat-4929	306	16	set	set	NOUN
easat-4929	306	17	.	.	PUNCT
easat-4929	307	1	the	the	DET
easat-4929	307	2	combined	combine	VERB
easat-4929	307	3	validation	validation	NOUN
easat-4929	307	4	/	/	SYM
easat-4929	307	5	test	test	NOUN
easat-4929	307	6	set	set	NOUN
easat-4929	307	7	was	be	AUX
easat-4929	307	8	divided	divide	VERB
easat-4929	307	9	equally	equally	ADV
easat-4929	307	10	into	into	ADP
easat-4929	307	11	distinct	distinct	ADJ
easat-4929	307	12	validation	validation	NOUN
easat-4929	307	13	and	and	CCONJ
easat-4929	307	14	test	test	NOUN
easat-4929	307	15	sets	set	NOUN
easat-4929	307	16	,	,	PUNCT
easat-4929	307	17	with	with	ADP
easat-4929	307	18	each	each	DET
easat-4929	307	19	set	set	NOUN
easat-4929	307	20	containing	contain	VERB
easat-4929	307	21	15	15	NUM
easat-4929	307	22	%	%	NOUN
easat-4929	307	23	of	of	ADP
easat-4929	307	24	the	the	DET
easat-4929	307	25	total	total	ADJ
easat-4929	307	26	data	datum	NOUN
easat-4929	307	27	.	.	PUNCT
easat-4929	308	1	the	the	DET
easat-4929	308	2	remaining	remain	VERB
easat-4929	308	3	70	70	NUM
easat-4929	308	4	%	%	NOUN
easat-4929	308	5	was	be	AUX
easat-4929	308	6	assigned	assign	VERB
easat-4929	308	7	to	to	ADP
easat-4929	308	8	the	the	DET
easat-4929	308	9	training	training	NOUN
easat-4929	308	10	set	set	NOUN
easat-4929	308	11	.	.	PUNCT
easat-4929	309	1	in	in	ADP
easat-4929	309	2	some	some	DET
easat-4929	309	3	cases	case	NOUN
easat-4929	309	4	,	,	PUNCT
easat-4929	309	5	just	just	ADV
easat-4929	309	6	for	for	ADP
easat-4929	309	7	comparisons	comparison	NOUN
easat-4929	309	8	outputs	output	NOUN
easat-4929	309	9	for	for	ADP
easat-4929	309	10	different	different	ADJ
easat-4929	309	11	approaches	approach	NOUN
easat-4929	309	12	the	the	DET
easat-4929	309	13	dataset	dataset	NOUN
easat-4929	309	14	has	have	AUX
easat-4929	309	15	been	be	AUX
easat-4929	309	16	successfully	successfully	ADV
easat-4929	309	17	split	split	VERB
easat-4929	309	18	into	into	ADP
easat-4929	309	19	training	training	NOUN
easat-4929	309	20	and	and	CCONJ
easat-4929	309	21	testing	testing	NOUN
easat-4929	309	22	sets	set	NOUN
easat-4929	309	23	,	,	PUNCT
easat-4929	309	24	with	with	SCONJ
easat-4929	309	25	the	the	DET
easat-4929	309	26	training	training	NOUN
easat-4929	309	27	set	set	NOUN
easat-4929	309	28	containing	contain	VERB
easat-4929	309	29	89	89	NUM
easat-4929	309	30	%	%	NOUN
easat-4929	309	31	of	of	ADP
easat-4929	309	32	non	non	ADJ
easat-4929	309	33	-	-	ADJ
easat-4929	309	34	readmitted	readmitted	ADJ
easat-4929	309	35	cases	case	NOUN
easat-4929	309	36	and	and	CCONJ
easat-4929	309	37	11	11	NUM
easat-4929	309	38	%	%	NOUN
easat-4929	309	39	of	of	ADP
easat-4929	309	40	readmitted	readmitte	VERB
easat-4929	309	41	cases	case	NOUN
easat-4929	309	42	the	the	DET
easat-4929	309	43	prevalence	prevalence	NOUN
easat-4929	309	44	of	of	ADP
easat-4929	309	45	the	the	DET
easat-4929	309	46	target	target	NOUN
easat-4929	309	47	variable	variable	NOUN
easat-4929	309	48	(	(	PUNCT
easat-4929	309	49	readmitted	readmitte	VERB
easat-4929	309	50	)	)	PUNCT
easat-4929	309	51	was	be	AUX
easat-4929	309	52	maintained	maintain	VERB
easat-4929	309	53	across	across	ADP
easat-4929	309	54	all	all	PRON
easat-4929	309	55	splits	split	NOUN
easat-4929	309	56	to	to	ADP
easat-4929	309	57	for	for	ADP
easat-4929	309	58	consistency	consistency	NOUN
easat-4929	309	59	.	.	PUNCT
easat-4929	310	1	a	a	DET
easat-4929	310	2	random	random	ADJ
easat-4929	310	3	state	state	NOUN
easat-4929	310	4	was	be	AUX
easat-4929	310	5	used	use	VERB
easat-4929	310	6	so	so	SCONJ
easat-4929	310	7	that	that	SCONJ
easat-4929	310	8	the	the	DET
easat-4929	310	9	splits	split	NOUN
easat-4929	310	10	were	be	AUX
easat-4929	310	11	reproducible	reproducible	ADJ
easat-4929	310	12	.	.	PUNCT
easat-4929	311	1	3.4	3.4	NUM
easat-4929	311	2	.	.	PUNCT
easat-4929	311	3	addressing	address	VERB
easat-4929	311	4	class	class	NOUN
easat-4929	311	5	imbalance	imbalance	NOUN
easat-4929	311	6	addressing	address	VERB
easat-4929	311	7	class	class	NOUN
easat-4929	311	8	imbalance	imbalance	NOUN
easat-4929	311	9	is	be	AUX
easat-4929	311	10	an	an	DET
easat-4929	311	11	important	important	ADJ
easat-4929	311	12	step	step	NOUN
easat-4929	311	13	in	in	ADP
easat-4929	311	14	predictive	predictive	ADJ
easat-4929	311	15	modelling	modelling	NOUN
easat-4929	311	16	,	,	PUNCT
easat-4929	311	17	especially	especially	ADV
easat-4929	311	18	in	in	ADP
easat-4929	311	19	healthcare	healthcare	NOUN
easat-4929	311	20	contexts	context	NOUN
easat-4929	311	21	like	like	ADP
easat-4929	311	22	predicting	predict	VERB
easat-4929	311	23	hospital	hospital	NOUN
easat-4929	311	24	readmissions	readmission	NOUN
easat-4929	311	25	.	.	PUNCT
easat-4929	312	1	this	this	DET
easat-4929	312	2	imbalance	imbalance	NOUN
easat-4929	312	3	in	in	ADP
easat-4929	312	4	the	the	DET
easat-4929	312	5	dataset	dataset	NOUN
easat-4929	312	6	can	can	AUX
easat-4929	312	7	make	make	VERB
easat-4929	312	8	the	the	DET
easat-4929	312	9	model	model	NOUN
easat-4929	312	10	biased	bias	VERB
easat-4929	312	11	towards	towards	ADP
easat-4929	312	12	the	the	DET
easat-4929	312	13	majority	majority	NOUN
easat-4929	312	14	class	class	NOUN
easat-4929	312	15	,	,	PUNCT
easat-4929	312	16	in	in	ADP
easat-4929	312	17	this	this	DET
easat-4929	312	18	case	case	NOUN
easat-4929	312	19	,	,	PUNCT
easat-4929	312	20	patients	patient	NOUN
easat-4929	312	21	who	who	PRON
easat-4929	312	22	were	be	AUX
easat-4929	312	23	not	not	PART
easat-4929	312	24	readmitted	readmitte	VERB
easat-4929	312	25	.	.	PUNCT
easat-4929	313	1	this	this	DET
easat-4929	313	2	bias	bias	NOUN
easat-4929	313	3	results	result	VERB
easat-4929	313	4	in	in	ADP
easat-4929	313	5	poor	poor	ADJ
easat-4929	313	6	performance	performance	NOUN
easat-4929	313	7	in	in	ADP
easat-4929	313	8	the	the	DET
easat-4929	313	9	minority	minority	NOUN
easat-4929	313	10	class	class	NOUN
easat-4929	313	11	-	-	PUNCT
easat-4929	313	12	patients	patient	NOUN
easat-4929	313	13	who	who	PRON
easat-4929	313	14	were	be	AUX
easat-4929	313	15	readmitted	readmitte	VERB
easat-4929	313	16	-	-	PUNCT
easat-4929	313	17	undermining	undermine	VERB
easat-4929	313	18	the	the	DET
easat-4929	313	19	model	model	NOUN
easat-4929	313	20	's	's	PART
easat-4929	313	21	capability	capability	NOUN
easat-4929	313	22	to	to	PART
easat-4929	313	23	make	make	VERB
easat-4929	313	24	accurate	accurate	ADJ
easat-4929	313	25	predictions	prediction	NOUN
easat-4929	313	26	where	where	SCONJ
easat-4929	313	27	it	it	PRON
easat-4929	313	28	matters	matter	VERB
easat-4929	313	29	most	most	ADV
easat-4929	313	30	.	.	PUNCT
easat-4929	314	1	initially	initially	ADV
easat-4929	314	2	,	,	PUNCT
easat-4929	314	3	the	the	DET
easat-4929	314	4	dataset	dataset	NOUN
easat-4929	314	5	had	have	VERB
easat-4929	314	6	a	a	DET
easat-4929	314	7	considerable	considerable	ADJ
easat-4929	314	8	imbalance	imbalance	NOUN
easat-4929	314	9	,	,	PUNCT
easat-4929	314	10	with	with	ADP
easat-4929	314	11	61,154	61,154	NUM
easat-4929	314	12	samples	sample	NOUN
easat-4929	314	13	in	in	ADP
easat-4929	314	14	the	the	DET
easat-4929	314	15	majority	majority	NOUN
easat-4929	314	16	class	class	NOUN
easat-4929	314	17	(	(	PUNCT
easat-4929	314	18	not	not	PART
easat-4929	314	19	readmitted	readmitte	VERB
easat-4929	314	20	)	)	PUNCT
easat-4929	314	21	compared	compare	VERB
easat-4929	314	22	to	to	ADP
easat-4929	314	23	only	only	ADV
easat-4929	314	24	7,831	7,831	NUM
easat-4929	314	25	samples	sample	NOUN
easat-4929	314	26	in	in	ADP
easat-4929	314	27	the	the	DET
easat-4929	314	28	minority	minority	NOUN
easat-4929	314	29	class	class	NOUN
easat-4929	314	30	(	(	PUNCT
easat-4929	314	31	readmitted	readmitte	VERB
easat-4929	314	32	)	)	PUNCT
easat-4929	314	33	.	.	PUNCT
easat-4929	315	1	the	the	DET
easat-4929	315	2	degree	degree	NOUN
easat-4929	315	3	of	of	ADP
easat-4929	315	4	this	this	DET
easat-4929	315	5	imbalance	imbalance	NOUN
easat-4929	315	6	is	be	AUX
easat-4929	315	7	visually	visually	ADV
easat-4929	315	8	represented	represent	VERB
easat-4929	315	9	in	in	ADP
easat-4929	315	10	the	the	DET
easat-4929	315	11	figure	figure	NOUN
easat-4929	315	12	6	6	NUM
easat-4929	315	13	.	.	PUNCT
easat-4929	315	14	figure	figure	VERB
easat-4929	315	15	6	6	NUM
easat-4929	315	16	.	.	PUNCT
easat-4929	316	1	class	class	NOUN
easat-4929	316	2	distribution	distribution	NOUN
easat-4929	316	3	of	of	ADP
easat-4929	316	4	readmitted	readmitte	VERB
easat-4929	316	5	feature	feature	NOUN
easat-4929	316	6	.	.	PUNCT
easat-4929	317	1	1816	1816	NUM
easat-4929	317	2	edelweiss	edelweiss	PROPN
easat-4929	317	3	applied	apply	VERB
easat-4929	317	4	science	science	NOUN
easat-4929	317	5	and	and	CCONJ
easat-4929	317	6	technology	technology	NOUN
easat-4929	317	7	issn	issn	PROPN
easat-4929	317	8	:	:	PUNCT
easat-4929	317	9	2576	2576	NUM
easat-4929	317	10	-	-	SYM
easat-4929	317	11	8484	8484	NUM
easat-4929	317	12	vol	vol	NOUN
easat-4929	317	13	.	.	PROPN
easat-4929	318	1	9	9	NUM
easat-4929	318	2	,	,	PUNCT
easat-4929	318	3	no	no	INTJ
easat-4929	318	4	.	.	NOUN
easat-4929	318	5	2	2	NUM
easat-4929	318	6	:	:	SYM
easat-4929	318	7	1803	1803	NUM
easat-4929	318	8	-	-	SYM
easat-4929	318	9	1829	1829	NUM
easat-4929	318	10	,	,	PUNCT
easat-4929	318	11	2025	2025	NUM
easat-4929	318	12	doi	doi	NOUN
easat-4929	318	13	:	:	PUNCT
easat-4929	318	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	318	15	©	©	PROPN
easat-4929	318	16	2025	2025	NUM
easat-4929	318	17	by	by	ADP
easat-4929	318	18	the	the	DET
easat-4929	318	19	authors	author	NOUN
easat-4929	318	20	;	;	PUNCT
easat-4929	318	21	licensee	licensee	PROPN
easat-4929	318	22	learning	learning	NOUN
easat-4929	318	23	gate	gate	NOUN
easat-4929	318	24	3.5	3.5	NUM
easat-4929	318	25	.	.	PUNCT
easat-4929	319	1	solving	solve	VERB
easat-4929	319	2	the	the	DET
easat-4929	319	3	problem	problem	NOUN
easat-4929	319	4	of	of	ADP
easat-4929	319	5	class	class	NOUN
easat-4929	319	6	imbalance	imbalance	NOUN
easat-4929	319	7	synthetic	synthetic	NOUN
easat-4929	319	8	minority	minority	NOUN
easat-4929	319	9	over	over	ADP
easat-4929	319	10	-	-	PUNCT
easat-4929	319	11	sampling	sample	VERB
easat-4929	319	12	technique	technique	NOUN
easat-4929	319	13	(	(	PUNCT
easat-4929	319	14	smote	smote	NOUN
easat-4929	319	15	)	)	PUNCT
easat-4929	319	16	was	be	AUX
easat-4929	319	17	used	use	VERB
easat-4929	319	18	.	.	PUNCT
easat-4929	320	1	it	it	PRON
easat-4929	320	2	is	be	AUX
easat-4929	320	3	a	a	DET
easat-4929	320	4	popular	popular	ADJ
easat-4929	320	5	method	method	NOUN
easat-4929	320	6	used	use	VERB
easat-4929	320	7	in	in	ADP
easat-4929	320	8	ml	ml	ADP
easat-4929	320	9	.	.	PUNCT
easat-4929	321	1	it	it	PRON
easat-4929	321	2	helps	help	VERB
easat-4929	321	3	generate	generate	VERB
easat-4929	321	4	synthetic	synthetic	ADJ
easat-4929	321	5	samples	sample	NOUN
easat-4929	321	6	for	for	ADP
easat-4929	321	7	the	the	DET
easat-4929	321	8	minority	minority	NOUN
easat-4929	321	9	class	class	NOUN
easat-4929	321	10	by	by	ADP
easat-4929	321	11	interpolating	interpolate	VERB
easat-4929	321	12	between	between	ADP
easat-4929	321	13	existing	exist	VERB
easat-4929	321	14	minority	minority	NOUN
easat-4929	321	15	instances	instance	NOUN
easat-4929	321	16	.	.	PUNCT
easat-4929	322	1	this	this	DET
easat-4929	322	2	technique	technique	NOUN
easat-4929	322	3	works	work	VERB
easat-4929	322	4	by	by	ADP
easat-4929	322	5	choosing	choose	VERB
easat-4929	322	6	two	two	NUM
easat-4929	322	7	or	or	CCONJ
easat-4929	322	8	more	more	ADV
easat-4929	322	9	similar	similar	ADJ
easat-4929	322	10	instances	instance	NOUN
easat-4929	322	11	from	from	ADP
easat-4929	322	12	the	the	DET
easat-4929	322	13	minority	minority	NOUN
easat-4929	322	14	class	class	NOUN
easat-4929	322	15	,	,	PUNCT
easat-4929	322	16	identifying	identify	VERB
easat-4929	322	17	their	their	PRON
easat-4929	322	18	nearest	near	ADJ
easat-4929	322	19	neighbors	neighbor	NOUN
easat-4929	322	20	,	,	PUNCT
easat-4929	322	21	and	and	CCONJ
easat-4929	322	22	creating	create	VERB
easat-4929	322	23	synthetic	synthetic	ADJ
easat-4929	322	24	samples	sample	NOUN
easat-4929	322	25	along	along	ADP
easat-4929	322	26	the	the	DET
easat-4929	322	27	line	line	NOUN
easat-4929	322	28	segments	segment	NOUN
easat-4929	322	29	that	that	PRON
easat-4929	322	30	connect	connect	VERB
easat-4929	322	31	them	they	PRON
easat-4929	322	32	.	.	PUNCT
easat-4929	323	1	this	this	DET
easat-4929	323	2	way	way	NOUN
easat-4929	323	3	,	,	PUNCT
easat-4929	323	4	we	we	PRON
easat-4929	323	5	make	make	VERB
easat-4929	323	6	the	the	DET
easat-4929	323	7	minority	minority	NOUN
easat-4929	323	8	group	group	NOUN
easat-4929	323	9	more	more	ADV
easat-4929	323	10	varied	varied	ADJ
easat-4929	323	11	without	without	ADP
easat-4929	323	12	copying	copy	VERB
easat-4929	323	13	the	the	DET
easat-4929	323	14	existing	exist	VERB
easat-4929	323	15	samples	sample	NOUN
easat-4929	323	16	,	,	PUNCT
easat-4929	323	17	which	which	PRON
easat-4929	323	18	can	can	AUX
easat-4929	323	19	help	help	VERB
easat-4929	323	20	improve	improve	VERB
easat-4929	323	21	model	model	NOUN
easat-4929	323	22	generalization	generalization	NOUN
easat-4929	323	23	and	and	CCONJ
easat-4929	323	24	reduce	reduce	VERB
easat-4929	323	25	overfitting	overfitte	VERB
easat-4929	323	26	[	[	X
easat-4929	323	27	22	22	NUM
easat-4929	323	28	]	]	PUNCT
easat-4929	323	29	.	.	PUNCT
easat-4929	324	1	for	for	ADP
easat-4929	324	2	this	this	DET
easat-4929	324	3	study	study	NOUN
easat-4929	324	4	,	,	PUNCT
easat-4929	324	5	smote	smote	PROPN
easat-4929	324	6	was	be	AUX
easat-4929	324	7	applied	apply	VERB
easat-4929	324	8	using	use	VERB
easat-4929	324	9	the	the	DET
easat-4929	324	10	default	default	NOUN
easat-4929	324	11	parameters	parameter	NOUN
easat-4929	324	12	,	,	PUNCT
easat-4929	324	13	which	which	PRON
easat-4929	324	14	included	include	VERB
easat-4929	324	15	:	:	PUNCT
easat-4929	324	16	k_neighbors=5	k_neighbors=5	NUM
easat-4929	324	17	:	:	PUNCT
easat-4929	324	18	this	this	DET
easat-4929	324	19	parameter	parameter	NOUN
easat-4929	324	20	specifies	specify	VERB
easat-4929	324	21	that	that	PRON
easat-4929	324	22	the	the	DET
easat-4929	324	23	synthetic	synthetic	ADJ
easat-4929	324	24	samples	sample	NOUN
easat-4929	324	25	should	should	AUX
easat-4929	324	26	be	be	AUX
easat-4929	324	27	generated	generate	VERB
easat-4929	324	28	using	use	VERB
easat-4929	324	29	the	the	DET
easat-4929	324	30	five	five	NUM
easat-4929	324	31	nearest	near	ADJ
easat-4929	324	32	neighbors	neighbor	NOUN
easat-4929	324	33	of	of	ADP
easat-4929	324	34	each	each	DET
easat-4929	324	35	minority	minority	NOUN
easat-4929	324	36	class	class	NOUN
easat-4929	324	37	instance	instance	NOUN
easat-4929	324	38	.	.	PUNCT
easat-4929	325	1	sampling_strategy='minority	sampling_strategy='minority	NOUN
easat-4929	325	2	'	'	PUNCT
easat-4929	325	3	:	:	PUNCT
easat-4929	326	1	this	this	DET
easat-4929	326	2	setting	setting	NOUN
easat-4929	326	3	ensures	ensure	VERB
easat-4929	326	4	that	that	SCONJ
easat-4929	326	5	the	the	DET
easat-4929	326	6	minority	minority	NOUN
easat-4929	326	7	class	class	NOUN
easat-4929	326	8	is	be	AUX
easat-4929	326	9	oversampled	oversample	VERB
easat-4929	326	10	to	to	PART
easat-4929	326	11	match	match	VERB
easat-4929	326	12	the	the	DET
easat-4929	326	13	number	number	NOUN
easat-4929	326	14	of	of	ADP
easat-4929	326	15	instances	instance	NOUN
easat-4929	326	16	in	in	ADP
easat-4929	326	17	the	the	DET
easat-4929	326	18	majority	majority	NOUN
easat-4929	326	19	class	class	NOUN
easat-4929	326	20	.	.	PUNCT
easat-4929	327	1	after	after	ADP
easat-4929	327	2	applying	apply	VERB
easat-4929	327	3	smote	smote	NOUN
easat-4929	327	4	,	,	PUNCT
easat-4929	327	5	the	the	DET
easat-4929	327	6	dataset	dataset	NOUN
easat-4929	327	7	was	be	AUX
easat-4929	327	8	reshuffled	reshuffle	VERB
easat-4929	327	9	to	to	PART
easat-4929	327	10	prevent	prevent	VERB
easat-4929	327	11	any	any	DET
easat-4929	327	12	ordering	ordering	NOUN
easat-4929	327	13	bias	bias	NOUN
easat-4929	327	14	.	.	PUNCT
easat-4929	328	1	the	the	DET
easat-4929	328	2	smote	smote	ADJ
easat-4929	328	3	technique	technique	NOUN
easat-4929	328	4	helped	help	VERB
easat-4929	328	5	balance	balance	VERB
easat-4929	328	6	the	the	DET
easat-4929	328	7	dataset	dataset	NOUN
easat-4929	328	8	.	.	PUNCT
easat-4929	329	1	it	it	PRON
easat-4929	329	2	equalized	equalize	VERB
easat-4929	329	3	the	the	DET
easat-4929	329	4	number	number	NOUN
easat-4929	329	5	of	of	ADP
easat-4929	329	6	samples	sample	NOUN
easat-4929	329	7	in	in	ADP
easat-4929	329	8	both	both	CCONJ
easat-4929	329	9	the	the	DET
easat-4929	329	10	majority	majority	NOUN
easat-4929	329	11	and	and	CCONJ
easat-4929	329	12	minority	minority	NOUN
easat-4929	329	13	classes	class	NOUN
easat-4929	329	14	.	.	PUNCT
easat-4929	330	1	after	after	ADP
easat-4929	330	2	applying	apply	VERB
easat-4929	330	3	smote	smote	NOUN
easat-4929	330	4	,	,	PUNCT
easat-4929	330	5	the	the	DET
easat-4929	330	6	class	class	NOUN
easat-4929	330	7	distribution	distribution	NOUN
easat-4929	330	8	for	for	ADP
easat-4929	330	9	the	the	DET
easat-4929	330	10	readmitted	readmitte	VERB
easat-4929	330	11	variable	variable	NOUN
easat-4929	330	12	appeared	appear	VERB
easat-4929	330	13	as	as	ADP
easat-4929	330	14	:	:	PUNCT
easat-4929	330	15	•	•	NUM
easat-4929	330	16	not	not	PART
easat-4929	330	17	readmitted	readmitte	VERB
easat-4929	330	18	(	(	PUNCT
easat-4929	330	19	0	0	NUM
easat-4929	330	20	):	):	PUNCT
easat-4929	330	21	61,154	61,154	NUM
easat-4929	330	22	samples	sample	NOUN
easat-4929	330	23	•	•	ADV
easat-4929	330	24	readmitted	readmitte	VERB
easat-4929	330	25	(	(	PUNCT
easat-4929	330	26	1	1	NUM
easat-4929	330	27	):	):	PUNCT
easat-4929	330	28	61,154	61,154	NUM
easat-4929	330	29	samples	sample	NOUN
easat-4929	330	30	using	use	VERB
easat-4929	330	31	smote	smote	NOUN
easat-4929	330	32	,	,	PUNCT
easat-4929	330	33	the	the	DET
easat-4929	330	34	study	study	NOUN
easat-4929	330	35	ensured	ensure	VERB
easat-4929	330	36	that	that	SCONJ
easat-4929	330	37	the	the	DET
easat-4929	330	38	predictive	predictive	ADJ
easat-4929	330	39	model	model	NOUN
easat-4929	330	40	had	have	VERB
easat-4929	330	41	an	an	DET
easat-4929	330	42	equal	equal	ADJ
easat-4929	330	43	opportunity	opportunity	NOUN
easat-4929	330	44	to	to	PART
easat-4929	330	45	learn	learn	VERB
easat-4929	330	46	from	from	ADP
easat-4929	330	47	both	both	DET
easat-4929	330	48	classes	class	NOUN
easat-4929	330	49	.	.	PUNCT
easat-4929	331	1	this	this	DET
easat-4929	331	2	approach	approach	NOUN
easat-4929	331	3	lowers	lower	VERB
easat-4929	331	4	the	the	DET
easat-4929	331	5	chances	chance	NOUN
easat-4929	331	6	of	of	ADP
easat-4929	331	7	the	the	DET
easat-4929	331	8	model	model	NOUN
easat-4929	331	9	becoming	become	VERB
easat-4929	331	10	biased	biased	ADJ
easat-4929	331	11	towards	towards	ADP
easat-4929	331	12	the	the	DET
easat-4929	331	13	majority	majority	NOUN
easat-4929	331	14	class	class	NOUN
easat-4929	331	15	and	and	CCONJ
easat-4929	331	16	improves	improve	VERB
easat-4929	331	17	its	its	PRON
easat-4929	331	18	ability	ability	NOUN
easat-4929	331	19	to	to	PART
easat-4929	331	20	generalize	generalize	VERB
easat-4929	331	21	well	well	ADV
easat-4929	331	22	to	to	ADP
easat-4929	331	23	unseen	unseen	ADJ
easat-4929	331	24	data	datum	NOUN
easat-4929	331	25	.	.	PUNCT
easat-4929	332	1	in	in	ADP
easat-4929	332	2	healthcare	healthcare	PROPN
easat-4929	332	3	applications	application	NOUN
easat-4929	332	4	,	,	PUNCT
easat-4929	332	5	this	this	DET
easat-4929	332	6	balanced	balanced	ADJ
easat-4929	332	7	approach	approach	NOUN
easat-4929	332	8	is	be	AUX
easat-4929	332	9	essential	essential	ADJ
easat-4929	332	10	for	for	ADP
easat-4929	332	11	making	make	VERB
easat-4929	332	12	accurate	accurate	ADJ
easat-4929	332	13	and	and	CCONJ
easat-4929	332	14	reliable	reliable	ADJ
easat-4929	332	15	predictions	prediction	NOUN
easat-4929	332	16	,	,	PUNCT
easat-4929	332	17	leading	lead	VERB
easat-4929	332	18	to	to	ADP
easat-4929	332	19	better	well	ADJ
easat-4929	332	20	clinical	clinical	ADJ
easat-4929	332	21	decisions	decision	NOUN
easat-4929	332	22	and	and	CCONJ
easat-4929	332	23	improving	improve	VERB
easat-4929	332	24	patient	patient	ADJ
easat-4929	332	25	care	care	NOUN
easat-4929	332	26	.	.	PUNCT
easat-4929	333	1	3.6	3.6	NUM
easat-4929	333	2	.	.	PUNCT
easat-4929	333	3	model	model	NOUN
easat-4929	333	4	development	development	NOUN
easat-4929	333	5	and	and	CCONJ
easat-4929	333	6	evaluation	evaluation	NOUN
easat-4929	333	7	in	in	ADP
easat-4929	333	8	this	this	DET
easat-4929	333	9	section	section	NOUN
easat-4929	333	10	of	of	ADP
easat-4929	333	11	the	the	DET
easat-4929	333	12	study	study	NOUN
easat-4929	333	13	,	,	PUNCT
easat-4929	333	14	we	we	PRON
easat-4929	333	15	have	have	AUX
easat-4929	333	16	addressed	address	VERB
easat-4929	333	17	these	these	DET
easat-4929	333	18	main	main	ADJ
easat-4929	333	19	issues	issue	NOUN
easat-4929	333	20	:	:	PUNCT
easat-4929	333	21	model	model	NOUN
easat-4929	333	22	selection	selection	NOUN
easat-4929	333	23	,	,	PUNCT
easat-4929	333	24	metrics	metric	NOUN
easat-4929	333	25	,	,	PUNCT
easat-4929	333	26	accuracy	accuracy	NOUN
easat-4929	333	27	,	,	PUNCT
easat-4929	333	28	confusion	confusion	NOUN
easat-4929	333	29	matrix	matrix	NOUN
easat-4929	333	30	,	,	PUNCT
easat-4929	333	31	training	training	NOUN
easat-4929	333	32	process	process	NOUN
easat-4929	333	33	,	,	PUNCT
easat-4929	333	34	auc	auc	VERB
easat-4929	333	35	comparison	comparison	NOUN
easat-4929	333	36	across	across	ADP
easat-4929	333	37	models	model	NOUN
easat-4929	333	38	and	and	CCONJ
easat-4929	333	39	performance	performance	NOUN
easat-4929	333	40	.	.	PUNCT
easat-4929	334	1	for	for	ADP
easat-4929	334	2	predicting	predict	VERB
easat-4929	334	3	hospital	hospital	NOUN
easat-4929	334	4	readmissions	readmission	NOUN
easat-4929	334	5	,	,	PUNCT
easat-4929	334	6	we	we	PRON
easat-4929	334	7	used	use	VERB
easat-4929	334	8	various	various	ADJ
easat-4929	334	9	ml	ml	NOUN
easat-4929	334	10	models	model	NOUN
easat-4929	334	11	which	which	PRON
easat-4929	334	12	included	include	VERB
easat-4929	334	13	logistic	logistic	ADJ
easat-4929	334	14	regression	regression	NOUN
easat-4929	334	15	,	,	PUNCT
easat-4929	334	16	sgd	sgd	PROPN
easat-4929	334	17	classifier	classifier	NOUN
easat-4929	334	18	,	,	PUNCT
easat-4929	334	19	decision	decision	NOUN
easat-4929	334	20	tree	tree	NOUN
easat-4929	334	21	,	,	PUNCT
easat-4929	334	22	random	random	ADJ
easat-4929	334	23	forest	forest	NOUN
easat-4929	334	24	,	,	PUNCT
easat-4929	334	25	gradient	gradient	NOUN
easat-4929	334	26	boosting	boosting	NOUN
easat-4929	334	27	,	,	PUNCT
easat-4929	334	28	xgboost	xgboost	ADV
easat-4929	334	29	,	,	PUNCT
easat-4929	334	30	support	support	NOUN
easat-4929	334	31	vector	vector	NOUN
easat-4929	334	32	machine	machine	NOUN
easat-4929	334	33	(	(	PUNCT
easat-4929	334	34	svm	svm	PROPN
easat-4929	334	35	)	)	PUNCT
easat-4929	334	36	,	,	PUNCT
easat-4929	334	37	recurrent	recurrent	ADJ
easat-4929	334	38	neural	neural	ADJ
easat-4929	334	39	networks	network	NOUN
easat-4929	334	40	(	(	PUNCT
easat-4929	334	41	rnn	rnn	PROPN
easat-4929	334	42	)	)	PUNCT
easat-4929	334	43	.	.	PUNCT
easat-4929	335	1	their	their	PRON
easat-4929	335	2	high	high	ADJ
easat-4929	335	3	performance	performance	NOUN
easat-4929	335	4	within	within	ADP
easat-4929	335	5	binary	binary	ADJ
easat-4929	335	6	classification	classification	NOUN
easat-4929	335	7	models	model	NOUN
easat-4929	335	8	and	and	CCONJ
easat-4929	335	9	their	their	PRON
easat-4929	335	10	adequacy	adequacy	NOUN
easat-4929	335	11	of	of	ADP
easat-4929	335	12	large	large	ADJ
easat-4929	335	13	datasets	dataset	NOUN
easat-4929	335	14	were	be	AUX
easat-4929	335	15	the	the	DET
easat-4929	335	16	reasons	reason	NOUN
easat-4929	335	17	of	of	ADP
easat-4929	335	18	our	our	PRON
easat-4929	335	19	selection	selection	NOUN
easat-4929	335	20	.	.	PUNCT
easat-4929	336	1	to	to	PART
easat-4929	336	2	make	make	VERB
easat-4929	336	3	a	a	DET
easat-4929	336	4	selection	selection	NOUN
easat-4929	336	5	of	of	ADP
easat-4929	336	6	the	the	DET
easat-4929	336	7	above	above	ADJ
easat-4929	336	8	models	model	NOUN
easat-4929	336	9	,	,	PUNCT
easat-4929	336	10	we	we	PRON
easat-4929	336	11	of	of	ADP
easat-4929	336	12	course	course	NOUN
easat-4929	336	13	considered	consider	VERB
easat-4929	336	14	previous	previous	ADJ
easat-4929	336	15	studies	study	NOUN
easat-4929	336	16	and	and	CCONJ
easat-4929	336	17	the	the	DET
easat-4929	336	18	most	most	ADV
easat-4929	336	19	efficient	efficient	ADJ
easat-4929	336	20	supervised	supervised	ADJ
easat-4929	336	21	ml	ml	NOUN
easat-4929	336	22	/	/	SYM
easat-4929	336	23	dl	dl	PROPN
easat-4929	336	24	models	model	NOUN
easat-4929	336	25	.	.	PUNCT
easat-4929	337	1	let	let	VERB
easat-4929	337	2	us	we	PRON
easat-4929	337	3	briefly	briefly	ADV
easat-4929	337	4	explain	explain	VERB
easat-4929	337	5	each	each	PRON
easat-4929	337	6	of	of	ADP
easat-4929	337	7	them	they	PRON
easat-4929	337	8	:	:	PUNCT
easat-4929	337	9	logistic	logistic	ADJ
easat-4929	337	10	regression	regression	NOUN
easat-4929	337	11	(	(	PUNCT
easat-4929	337	12	lr	lr	NOUN
easat-4929	337	13	)	)	PUNCT
easat-4929	337	14	model	model	NOUN
easat-4929	337	15	is	be	AUX
easat-4929	337	16	preferred	prefer	VERB
easat-4929	337	17	because	because	SCONJ
easat-4929	337	18	of	of	ADP
easat-4929	337	19	its	its	PRON
easat-4929	337	20	simplicity	simplicity	NOUN
easat-4929	337	21	of	of	ADP
easat-4929	337	22	use	use	NOUN
easat-4929	337	23	its	its	PRON
easat-4929	337	24	interpretability	interpretability	NOUN
easat-4929	337	25	.	.	PUNCT
easat-4929	338	1	this	this	DET
easat-4929	338	2	model	model	NOUN
easat-4929	338	3	is	be	AUX
easat-4929	338	4	especially	especially	ADV
easat-4929	338	5	beneficial	beneficial	ADJ
easat-4929	338	6	in	in	ADP
easat-4929	338	7	the	the	DET
easat-4929	338	8	clinical	clinical	ADJ
easat-4929	338	9	field	field	NOUN
easat-4929	338	10	where	where	SCONJ
easat-4929	338	11	one	one	PRON
easat-4929	338	12	must	must	AUX
easat-4929	338	13	be	be	AUX
easat-4929	338	14	able	able	ADJ
easat-4929	338	15	to	to	PART
easat-4929	338	16	evaluate	evaluate	VERB
easat-4929	338	17	the	the	DET
easat-4929	338	18	importance	importance	NOUN
easat-4929	338	19	of	of	ADP
easat-4929	338	20	each	each	DET
easat-4929	338	21	feature	feature	NOUN
easat-4929	338	22	towards	towards	ADP
easat-4929	338	23	a	a	DET
easat-4929	338	24	specific	specific	ADJ
easat-4929	338	25	outcome	outcome	NOUN
easat-4929	338	26	.	.	PUNCT
easat-4929	339	1	it	it	PRON
easat-4929	339	2	demonstrates	demonstrate	VERB
easat-4929	339	3	how	how	SCONJ
easat-4929	339	4	every	every	DET
easat-4929	339	5	factor	factor	NOUN
easat-4929	339	6	affects	affect	VERB
easat-4929	339	7	the	the	DET
easat-4929	339	8	likelihood	likelihood	NOUN
easat-4929	339	9	of	of	ADP
easat-4929	339	10	readmission	readmission	NOUN
easat-4929	339	11	adding	add	VERB
easat-4929	339	12	great	great	ADJ
easat-4929	339	13	importance	importance	NOUN
easat-4929	339	14	to	to	ADP
easat-4929	339	15	the	the	DET
easat-4929	339	16	clinical	clinical	ADJ
easat-4929	339	17	point	point	NOUN
easat-4929	339	18	of	of	ADP
easat-4929	339	19	view	view	NOUN
easat-4929	339	20	.	.	PUNCT
easat-4929	340	1	scikit-learn.org	scikit-learn.org	X
easat-4929	341	1	[	[	X
easat-4929	341	2	23	23	NUM
easat-4929	341	3	]	]	X
easat-4929	341	4	strong	strong	ADJ
easat-4929	341	5	capacity	capacity	NOUN
easat-4929	341	6	of	of	ADP
easat-4929	341	7	managing	manage	VERB
easat-4929	341	8	large	large	ADJ
easat-4929	341	9	datasets	dataset	NOUN
easat-4929	341	10	combined	combine	VERB
easat-4929	341	11	with	with	ADP
easat-4929	341	12	flexibility	flexibility	NOUN
easat-4929	341	13	to	to	ADP
easat-4929	341	14	different	different	ADJ
easat-4929	341	15	loss	loss	NOUN
easat-4929	341	16	functions	function	NOUN
easat-4929	341	17	made	make	VERB
easat-4929	341	18	sgd	sgd	PROPN
easat-4929	341	19	a	a	DET
easat-4929	341	20	valuable	valuable	ADJ
easat-4929	341	21	candidate	candidate	NOUN
easat-4929	341	22	for	for	ADP
easat-4929	341	23	this	this	DET
easat-4929	341	24	study	study	NOUN
easat-4929	341	25	.	.	PUNCT
easat-4929	342	1	works	work	VERB
easat-4929	342	2	well	well	ADV
easat-4929	342	3	with	with	ADP
easat-4929	342	4	large	large	ADJ
easat-4929	342	5	data	datum	NOUN
easat-4929	342	6	that	that	PRON
easat-4929	342	7	is	be	AUX
easat-4929	342	8	very	very	ADV
easat-4929	342	9	common	common	ADJ
easat-4929	342	10	in	in	ADP
easat-4929	342	11	the	the	DET
easat-4929	342	12	medical	medical	ADJ
easat-4929	342	13	field	field	NOUN
easat-4929	342	14	allowing	allow	VERB
easat-4929	342	15	faster	fast	ADJ
easat-4929	342	16	training	training	NOUN
easat-4929	342	17	of	of	ADP
easat-4929	342	18	the	the	DET
easat-4929	342	19	model	model	NOUN
easat-4929	342	20	and	and	CCONJ
easat-4929	342	21	iteration	iteration	NOUN
easat-4929	342	22	.	.	PUNCT
easat-4929	343	1	scikit-learn.org	scikit-learn.org	X
easat-4929	344	1	[	[	X
easat-4929	344	2	24	24	NUM
easat-4929	344	3	]	]	X
easat-4929	344	4	the	the	DET
easat-4929	344	5	change	change	NOUN
easat-4929	344	6	in	in	ADP
easat-4929	344	7	algorithm	algorithm	NOUN
easat-4929	344	8	workflow	workflow	NOUN
easat-4929	344	9	enabled	enable	VERB
easat-4929	344	10	by	by	ADP
easat-4929	344	11	the	the	DET
easat-4929	344	12	tree	tree	NOUN
easat-4929	344	13	structure	structure	NOUN
easat-4929	344	14	facilitates	facilitate	VERB
easat-4929	344	15	understanding	understanding	NOUN
easat-4929	344	16	of	of	ADP
easat-4929	344	17	how	how	SCONJ
easat-4929	344	18	a	a	DET
easat-4929	344	19	particular	particular	ADJ
easat-4929	344	20	model	model	NOUN
easat-4929	344	21	arrived	arrive	VERB
easat-4929	344	22	at	at	ADP
easat-4929	344	23	a	a	DET
easat-4929	344	24	specific	specific	ADJ
easat-4929	344	25	decision	decision	NOUN
easat-4929	344	26	allowing	allow	VERB
easat-4929	344	27	for	for	ADP
easat-4929	344	28	easier	easy	ADJ
easat-4929	344	29	explanation	explanation	NOUN
easat-4929	344	30	of	of	ADP
easat-4929	344	31	the	the	DET
easat-4929	344	32	predictions	prediction	NOUN
easat-4929	344	33	to	to	ADP
easat-4929	344	34	a	a	DET
easat-4929	344	35	healthcare	healthcare	NOUN
easat-4929	344	36	provider	provider	NOUN
easat-4929	344	37	enhancing	enhance	VERB
easat-4929	344	38	the	the	DET
easat-4929	344	39	interpretability	interpretability	NOUN
easat-4929	344	40	of	of	ADP
easat-4929	344	41	the	the	DET
easat-4929	344	42	model	model	NOUN
easat-4929	344	43	which	which	PRON
easat-4929	344	44	was	be	AUX
easat-4929	344	45	the	the	DET
easat-4929	344	46	major	major	ADJ
easat-4929	344	47	advantage	advantage	NOUN
easat-4929	344	48	of	of	ADP
easat-4929	344	49	the	the	DET
easat-4929	344	50	model	model	NOUN
easat-4929	344	51	.	.	PUNCT
easat-4929	345	1	but	but	CCONJ
easat-4929	345	2	decision	decision	NOUN
easat-4929	345	3	trees	tree	NOUN
easat-4929	345	4	do	do	AUX
easat-4929	345	5	tend	tend	VERB
easat-4929	345	6	to	to	PART
easat-4929	345	7	overfit	overfit	VERB
easat-4929	345	8	,	,	PUNCT
easat-4929	345	9	which	which	PRON
easat-4929	345	10	can	can	AUX
easat-4929	345	11	be	be	AUX
easat-4929	345	12	resolved	resolve	VERB
easat-4929	345	13	with	with	ADP
easat-4929	345	14	various	various	ADJ
easat-4929	345	15	solutions	solution	NOUN
easat-4929	345	16	including	include	VERB
easat-4929	345	17	pruning	prune	VERB
easat-4929	345	18	or	or	CCONJ
easat-4929	345	19	using	use	VERB
easat-4929	345	20	ensemble	ensemble	ADJ
easat-4929	345	21	methods	method	NOUN
easat-4929	345	22	like	like	ADP
easat-4929	345	23	random	random	ADJ
easat-4929	345	24	forests	forest	NOUN
easat-4929	345	25	.	.	PUNCT
easat-4929	346	1	khanna	khanna	PROPN
easat-4929	347	1	[	[	X
easat-4929	347	2	25	25	NUM
easat-4929	347	3	]	]	PUNCT
easat-4929	347	4	is	be	AUX
easat-4929	347	5	especially	especially	ADV
easat-4929	347	6	useful	useful	ADJ
easat-4929	347	7	on	on	ADP
easat-4929	347	8	larger	large	ADJ
easat-4929	347	9	datasets	dataset	NOUN
easat-4929	347	10	and	and	CCONJ
easat-4929	347	11	are	be	AUX
easat-4929	347	12	less	less	ADV
easat-4929	347	13	prone	prone	ADJ
easat-4929	347	14	to	to	ADP
easat-4929	347	15	overfitting	overfitte	VERB
easat-4929	347	16	as	as	ADP
easat-4929	347	17	compared	compare	VERB
easat-4929	347	18	to	to	ADP
easat-4929	347	19	single	single	ADJ
easat-4929	347	20	decision	decision	NOUN
easat-4929	347	21	trees	tree	NOUN
easat-4929	347	22	.	.	PUNCT
easat-4929	348	1	the	the	DET
easat-4929	348	2	model	model	NOUN
easat-4929	348	3	was	be	AUX
easat-4929	348	4	chosen	choose	VERB
easat-4929	348	5	because	because	SCONJ
easat-4929	348	6	of	of	ADP
easat-4929	348	7	its	its	PRON
easat-4929	348	8	strength	strength	NOUN
easat-4929	348	9	,	,	PUNCT
easat-4929	348	10	accuracy	accuracy	NOUN
easat-4929	348	11	,	,	PUNCT
easat-4929	348	12	and	and	CCONJ
easat-4929	348	13	ability	ability	NOUN
easat-4929	348	14	to	to	PART
easat-4929	348	15	generalize	generalize	VERB
easat-4929	348	16	in	in	ADP
easat-4929	348	17	a	a	DET
easat-4929	348	18	variety	variety	NOUN
easat-4929	348	19	of	of	ADP
easat-4929	348	20	data	datum	NOUN
easat-4929	348	21	types	type	NOUN
easat-4929	348	22	.	.	PUNCT
easat-4929	349	1	1817	1817	NUM
easat-4929	349	2	edelweiss	edelweiss	PROPN
easat-4929	349	3	applied	apply	VERB
easat-4929	349	4	science	science	NOUN
easat-4929	349	5	and	and	CCONJ
easat-4929	349	6	technology	technology	NOUN
easat-4929	349	7	issn	issn	PROPN
easat-4929	349	8	:	:	PUNCT
easat-4929	349	9	2576	2576	NUM
easat-4929	349	10	-	-	SYM
easat-4929	349	11	8484	8484	NUM
easat-4929	349	12	vol	vol	NOUN
easat-4929	349	13	.	.	PROPN
easat-4929	350	1	9	9	NUM
easat-4929	350	2	,	,	PUNCT
easat-4929	350	3	no	no	INTJ
easat-4929	350	4	.	.	NOUN
easat-4929	350	5	2	2	NUM
easat-4929	350	6	:	:	SYM
easat-4929	350	7	1803	1803	NUM
easat-4929	350	8	-	-	SYM
easat-4929	350	9	1829	1829	NUM
easat-4929	350	10	,	,	PUNCT
easat-4929	350	11	2025	2025	NUM
easat-4929	350	12	doi	doi	NOUN
easat-4929	350	13	:	:	PUNCT
easat-4929	350	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	350	15	©	©	PROPN
easat-4929	350	16	2025	2025	NUM
easat-4929	350	17	by	by	ADP
easat-4929	350	18	the	the	DET
easat-4929	350	19	authors	author	NOUN
easat-4929	350	20	;	;	PUNCT
easat-4929	350	21	licensee	licensee	PROPN
easat-4929	350	22	learning	learning	NOUN
easat-4929	350	23	gate	gate	NOUN
easat-4929	350	24	gradient	gradient	NOUN
easat-4929	350	25	boosting	boosting	NOUN
easat-4929	350	26	is	be	AUX
easat-4929	350	27	very	very	ADV
easat-4929	350	28	effective	effective	ADJ
easat-4929	350	29	with	with	ADP
easat-4929	350	30	structured	structured	ADJ
easat-4929	350	31	data	datum	NOUN
easat-4929	350	32	and	and	CCONJ
easat-4929	350	33	can	can	AUX
easat-4929	350	34	build	build	VERB
easat-4929	350	35	machines	machine	NOUN
easat-4929	350	36	that	that	PRON
easat-4929	350	37	can	can	AUX
easat-4929	350	38	exploit	exploit	VERB
easat-4929	350	39	complex	complex	ADJ
easat-4929	350	40	features	feature	NOUN
easat-4929	350	41	and	and	CCONJ
easat-4929	350	42	their	their	PRON
easat-4929	350	43	interactions	interaction	NOUN
easat-4929	350	44	.	.	PUNCT
easat-4929	351	1	however	however	ADV
easat-4929	351	2	,	,	PUNCT
easat-4929	351	3	it	it	PRON
easat-4929	351	4	can	can	AUX
easat-4929	351	5	be	be	AUX
easat-4929	351	6	sensitive	sensitive	ADJ
easat-4929	351	7	to	to	ADP
easat-4929	351	8	overfitting	overfitte	VERB
easat-4929	351	9	if	if	SCONJ
easat-4929	351	10	the	the	DET
easat-4929	351	11	parameters	parameter	NOUN
easat-4929	351	12	are	be	AUX
easat-4929	351	13	not	not	PART
easat-4929	351	14	set	set	VERB
easat-4929	351	15	properly	properly	ADV
easat-4929	351	16	and	and	CCONJ
easat-4929	351	17	,	,	PUNCT
easat-4929	351	18	because	because	SCONJ
easat-4929	351	19	the	the	DET
easat-4929	351	20	algorithm	algorithm	NOUN
easat-4929	351	21	is	be	AUX
easat-4929	351	22	sequential	sequential	ADJ
easat-4929	351	23	in	in	ADP
easat-4929	351	24	nature	nature	NOUN
easat-4929	351	25	,	,	PUNCT
easat-4929	351	26	it	it	PRON
easat-4929	351	27	is	be	AUX
easat-4929	351	28	also	also	ADV
easat-4929	351	29	very	very	ADV
easat-4929	351	30	intensive	intensive	ADJ
easat-4929	351	31	computationally	computationally	ADV
easat-4929	351	32	[	[	X
easat-4929	351	33	26	26	NUM
easat-4929	351	34	]	]	PUNCT
easat-4929	351	35	.	.	PUNCT
easat-4929	352	1	xgboost	xgboost	X
easat-4929	352	2	,	,	PUNCT
easat-4929	352	3	or	or	CCONJ
easat-4929	352	4	extreme	extreme	ADJ
easat-4929	352	5	gradient	gradient	NOUN
easat-4929	352	6	boosting	boosting	NOUN
easat-4929	352	7	applies	apply	VERB
easat-4929	352	8	additional	additional	ADJ
easat-4929	352	9	techniques	technique	NOUN
easat-4929	352	10	such	such	ADJ
easat-4929	352	11	as	as	ADP
easat-4929	352	12	l1	l1	PROPN
easat-4929	352	13	and	and	CCONJ
easat-4929	352	14	l2	l2	NOUN
easat-4929	352	15	regularization	regularization	NOUN
easat-4929	352	16	to	to	PART
easat-4929	352	17	reduce	reduce	VERB
easat-4929	352	18	overfitting	overfitte	VERB
easat-4929	352	19	.	.	PUNCT
easat-4929	353	1	it	it	PRON
easat-4929	353	2	also	also	ADV
easat-4929	353	3	enables	enable	VERB
easat-4929	353	4	multi	multi	ADJ
easat-4929	353	5	-	-	ADJ
easat-4929	353	6	threaded	threaded	ADJ
easat-4929	353	7	programming	programming	NOUN
easat-4929	353	8	,	,	PUNCT
easat-4929	353	9	which	which	PRON
easat-4929	353	10	makes	make	VERB
easat-4929	353	11	it	it	PRON
easat-4929	353	12	quicker	quick	ADV
easat-4929	353	13	and	and	CCONJ
easat-4929	353	14	more	more	ADV
easat-4929	353	15	effective	effective	ADJ
easat-4929	353	16	than	than	ADP
easat-4929	353	17	traditional	traditional	ADJ
easat-4929	353	18	gradient	gradient	ADJ
easat-4929	353	19	boosting	boosting	NOUN
easat-4929	353	20	.	.	PUNCT
easat-4929	354	1	it	it	PRON
easat-4929	354	2	is	be	AUX
easat-4929	354	3	known	know	VERB
easat-4929	354	4	for	for	ADP
easat-4929	354	5	its	its	PRON
easat-4929	354	6	effectiveness	effectiveness	NOUN
easat-4929	354	7	and	and	CCONJ
easat-4929	354	8	scalability	scalability	NOUN
easat-4929	354	9	,	,	PUNCT
easat-4929	354	10	greatly	greatly	ADV
easat-4929	354	11	exceeding	exceed	VERB
easat-4929	354	12	other	other	ADJ
easat-4929	354	13	algorithms	algorithm	NOUN
easat-4929	354	14	for	for	ADP
easat-4929	354	15	performing	perform	VERB
easat-4929	354	16	tasks	task	NOUN
easat-4929	354	17	on	on	ADP
easat-4929	354	18	structured	structured	ADJ
easat-4929	354	19	data	datum	NOUN
easat-4929	354	20	.	.	PUNCT
easat-4929	355	1	this	this	PRON
easat-4929	355	2	is	be	AUX
easat-4929	355	3	the	the	DET
easat-4929	355	4	reason	reason	NOUN
easat-4929	355	5	why	why	SCONJ
easat-4929	355	6	gradient	gradient	ADJ
easat-4929	355	7	boosting	boost	VERB
easat-4929	355	8	models	model	NOUN
easat-4929	355	9	and	and	CCONJ
easat-4929	355	10	especially	especially	ADV
easat-4929	355	11	xgboost	xgboost	PRON
easat-4929	355	12	have	have	AUX
easat-4929	355	13	proven	prove	VERB
easat-4929	355	14	to	to	PART
easat-4929	355	15	be	be	AUX
easat-4929	355	16	very	very	ADV
easat-4929	355	17	efficient	efficient	ADJ
easat-4929	355	18	in	in	ADP
easat-4929	355	19	managing	manage	VERB
easat-4929	355	20	complex	complex	ADJ
easat-4929	355	21	relationships	relationship	NOUN
easat-4929	355	22	within	within	ADP
easat-4929	355	23	data	datum	NOUN
easat-4929	355	24	and	and	CCONJ
easat-4929	355	25	in	in	ADP
easat-4929	355	26	making	make	VERB
easat-4929	355	27	strong	strong	ADJ
easat-4929	355	28	predictions	prediction	NOUN
easat-4929	355	29	[	[	X
easat-4929	355	30	26	26	NUM
easat-4929	355	31	]	]	PUNCT
easat-4929	355	32	.	.	PUNCT
easat-4929	356	1	support	support	NOUN
easat-4929	356	2	vector	vector	NOUN
easat-4929	356	3	machines	machine	NOUN
easat-4929	356	4	(	(	PUNCT
easat-4929	356	5	svms	svms	NOUN
easat-4929	356	6	)	)	PUNCT
easat-4929	357	1	[	[	X
easat-4929	357	2	8	8	NUM
easat-4929	357	3	]	]	PUNCT
easat-4929	357	4	is	be	AUX
easat-4929	357	5	a	a	DET
easat-4929	357	6	powerful	powerful	ADJ
easat-4929	357	7	supervised	supervise	VERB
easat-4929	357	8	ml	ml	NOUN
easat-4929	357	9	algorithm	algorithm	NOUN
easat-4929	357	10	used	use	VERB
easat-4929	357	11	for	for	ADP
easat-4929	357	12	both	both	CCONJ
easat-4929	357	13	the	the	DET
easat-4929	357	14	classification	classification	NOUN
easat-4929	357	15	and	and	CCONJ
easat-4929	357	16	regression	regression	NOUN
easat-4929	357	17	problems	problem	NOUN
easat-4929	357	18	.	.	PUNCT
easat-4929	358	1	in	in	ADP
easat-4929	358	2	particular	particular	ADJ
easat-4929	358	3	useful	useful	ADJ
easat-4929	358	4	when	when	SCONJ
easat-4929	358	5	working	work	VERB
easat-4929	358	6	with	with	ADP
easat-4929	358	7	high	high	ADJ
easat-4929	358	8	dimensional	dimensional	ADJ
easat-4929	358	9	spaces	space	NOUN
easat-4929	358	10	and	and	CCONJ
easat-4929	358	11	when	when	SCONJ
easat-4929	358	12	the	the	DET
easat-4929	358	13	number	number	NOUN
easat-4929	358	14	of	of	ADP
easat-4929	358	15	dimensions	dimension	NOUN
easat-4929	358	16	is	be	AUX
easat-4929	358	17	greater	great	ADJ
easat-4929	358	18	than	than	ADP
easat-4929	358	19	the	the	DET
easat-4929	358	20	available	available	ADJ
easat-4929	358	21	number	number	NOUN
easat-4929	358	22	of	of	ADP
easat-4929	358	23	samples	sample	NOUN
easat-4929	358	24	.	.	PUNCT
easat-4929	359	1	robust	robust	ADJ
easat-4929	359	2	to	to	ADP
easat-4929	359	3	overfitting	overfitte	VERB
easat-4929	359	4	.	.	PUNCT
easat-4929	360	1	the	the	DET
easat-4929	360	2	problems	problem	NOUN
easat-4929	360	3	encountered	encounter	VERB
easat-4929	360	4	are	be	AUX
easat-4929	360	5	computational	computational	ADJ
easat-4929	360	6	for	for	ADP
easat-4929	360	7	large	large	ADJ
easat-4929	360	8	data	datum	NOUN
easat-4929	360	9	sets	set	NOUN
easat-4929	360	10	,	,	PUNCT
easat-4929	360	11	careful	careful	ADJ
easat-4929	360	12	tuning	tuning	NOUN
easat-4929	360	13	of	of	ADP
easat-4929	360	14	hyperparameters	hyperparameter	NOUN
easat-4929	360	15	,	,	PUNCT
easat-4929	360	16	and	and	CCONJ
easat-4929	360	17	interpretation	interpretation	NOUN
easat-4929	360	18	problems	problem	NOUN
easat-4929	360	19	when	when	SCONJ
easat-4929	360	20	comparing	compare	VERB
easat-4929	360	21	with	with	ADP
easat-4929	360	22	other	other	ADJ
easat-4929	360	23	similar	similar	ADJ
easat-4929	360	24	models	model	NOUN
easat-4929	360	25	.	.	PUNCT
easat-4929	361	1	recurrent	recurrent	ADJ
easat-4929	361	2	neural	neural	ADJ
easat-4929	361	3	networks	network	NOUN
easat-4929	361	4	(	(	PUNCT
easat-4929	361	5	rnns	rnns	PROPN
easat-4929	361	6	)	)	PUNCT
easat-4929	362	1	[	[	X
easat-4929	362	2	8	8	NUM
easat-4929	362	3	]	]	PUNCT
easat-4929	362	4	act	act	NOUN
easat-4929	362	5	on	on	ADP
easat-4929	362	6	sequential	sequential	ADJ
easat-4929	362	7	data	datum	NOUN
easat-4929	362	8	.	.	PUNCT
easat-4929	363	1	rnns	rnns	PROPN
easat-4929	363	2	remember	remember	VERB
easat-4929	363	3	previous	previous	ADJ
easat-4929	363	4	information	information	NOUN
easat-4929	363	5	,	,	PUNCT
easat-4929	363	6	making	make	VERB
easat-4929	363	7	them	they	PRON
easat-4929	363	8	distinctive	distinctive	ADJ
easat-4929	363	9	from	from	ADP
easat-4929	363	10	the	the	DET
easat-4929	363	11	standard	standard	ADJ
easat-4929	363	12	feedforward	feedforward	ADJ
easat-4929	363	13	neural	neural	ADJ
easat-4929	363	14	networks	network	NOUN
easat-4929	363	15	,	,	PUNCT
easat-4929	363	16	and	and	CCONJ
easat-4929	363	17	hence	hence	ADV
easat-4929	363	18	can	can	AUX
easat-4929	363	19	be	be	AUX
easat-4929	363	20	used	use	VERB
easat-4929	363	21	for	for	ADP
easat-4929	363	22	applications	application	NOUN
easat-4929	363	23	in	in	ADP
easat-4929	363	24	time	time	NOUN
easat-4929	363	25	series	series	PROPN
easat-4929	363	26	data	data	PROPN
easat-4929	363	27	,	,	PUNCT
easat-4929	363	28	natural	natural	ADJ
easat-4929	363	29	language	language	NOUN
easat-4929	363	30	processing	processing	NOUN
easat-4929	363	31	,	,	PUNCT
easat-4929	363	32	and	and	CCONJ
easat-4929	363	33	speech	speech	NOUN
easat-4929	363	34	recognition	recognition	NOUN
easat-4929	363	35	.	.	PUNCT
easat-4929	364	1	in	in	ADP
easat-4929	364	2	this	this	DET
easat-4929	364	3	model	model	NOUN
easat-4929	364	4	the	the	DET
easat-4929	364	5	parameter	parameter	NOUN
easat-4929	364	6	sharing	sharing	NOUN
easat-4929	364	7	reduces	reduce	VERB
easat-4929	364	8	complexity	complexity	NOUN
easat-4929	364	9	.	.	PUNCT
easat-4929	365	1	but	but	CCONJ
easat-4929	365	2	it	it	PRON
easat-4929	365	3	also	also	ADV
easat-4929	365	4	has	have	VERB
easat-4929	365	5	some	some	DET
easat-4929	365	6	challenges	challenge	NOUN
easat-4929	365	7	like	like	ADP
easat-4929	365	8	inefficient	inefficient	ADJ
easat-4929	365	9	in	in	ADP
easat-4929	365	10	computationally	computationally	ADV
easat-4929	365	11	,	,	PUNCT
easat-4929	365	12	and	and	CCONJ
easat-4929	365	13	because	because	SCONJ
easat-4929	365	14	of	of	ADP
easat-4929	365	15	long	long	ADJ
easat-4929	365	16	sequences	sequence	NOUN
easat-4929	365	17	makes	make	VERB
easat-4929	365	18	training	training	NOUN
easat-4929	365	19	difficult	difficult	ADJ
easat-4929	365	20	.	.	PUNCT
easat-4929	366	1	the	the	DET
easat-4929	366	2	evaluation	evaluation	NOUN
easat-4929	366	3	of	of	ADP
easat-4929	366	4	the	the	DET
easat-4929	366	5	models	model	NOUN
easat-4929	366	6	is	be	AUX
easat-4929	366	7	based	base	VERB
easat-4929	366	8	on	on	ADP
easat-4929	366	9	several	several	ADJ
easat-4929	366	10	metrics	metric	NOUN
easat-4929	366	11	.	.	PUNCT
easat-4929	367	1	an	an	DET
easat-4929	367	2	overview	overview	NOUN
easat-4929	367	3	of	of	ADP
easat-4929	367	4	them	they	PRON
easat-4929	367	5	and	and	CCONJ
easat-4929	367	6	a	a	DET
easat-4929	367	7	concrete	concrete	ADJ
easat-4929	367	8	analysis	analysis	NOUN
easat-4929	367	9	are	be	AUX
easat-4929	367	10	given	give	VERB
easat-4929	367	11	in	in	ADP
easat-4929	367	12	the	the	DET
easat-4929	367	13	following	follow	VERB
easat-4929	367	14	paragraphs	paragraph	NOUN
easat-4929	367	15	.	.	PUNCT
easat-4929	368	1	each	each	DET
easat-4929	368	2	model	model	NOUN
easat-4929	368	3	’s	’s	PART
easat-4929	368	4	initial	initial	ADJ
easat-4929	368	5	performance	performance	NOUN
easat-4929	368	6	was	be	AUX
easat-4929	368	7	evaluated	evaluate	VERB
easat-4929	368	8	using	use	VERB
easat-4929	368	9	a	a	DET
easat-4929	368	10	range	range	NOUN
easat-4929	368	11	of	of	ADP
easat-4929	368	12	metrics	metric	NOUN
easat-4929	368	13	,	,	PUNCT
easat-4929	368	14	such	such	ADJ
easat-4929	368	15	as	as	ADP
easat-4929	368	16	auc	auc	NOUN
easat-4929	368	17	,	,	PUNCT
easat-4929	368	18	accuracy	accuracy	NOUN
easat-4929	368	19	,	,	PUNCT
easat-4929	368	20	recall	recall	NOUN
easat-4929	368	21	,	,	PUNCT
easat-4929	368	22	precision	precision	NOUN
easat-4929	368	23	,	,	PUNCT
easat-4929	368	24	specificity	specificity	NOUN
easat-4929	368	25	,	,	PUNCT
easat-4929	368	26	and	and	CCONJ
easat-4929	368	27	f1	f1	NOUN
easat-4929	368	28	score	score	NOUN
easat-4929	368	29	.	.	PUNCT
easat-4929	369	1	in	in	ADP
easat-4929	369	2	some	some	DET
easat-4929	369	3	cases	case	NOUN
easat-4929	369	4	,	,	PUNCT
easat-4929	369	5	is	be	AUX
easat-4929	369	6	used	use	VERB
easat-4929	369	7	mse	mse	NOUN
easat-4929	369	8	and	and	CCONJ
easat-4929	369	9	r2	r2	PROPN
easat-4929	369	10	.	.	PUNCT
easat-4929	370	1	these	these	DET
easat-4929	370	2	metrics	metric	NOUN
easat-4929	370	3	were	be	AUX
easat-4929	370	4	computed	compute	VERB
easat-4929	370	5	for	for	ADP
easat-4929	370	6	the	the	DET
easat-4929	370	7	training	training	NOUN
easat-4929	370	8	and	and	CCONJ
easat-4929	370	9	validation	validation	NOUN
easat-4929	370	10	datasets	dataset	NOUN
easat-4929	370	11	to	to	PART
easat-4929	370	12	provide	provide	VERB
easat-4929	370	13	a	a	DET
easat-4929	370	14	complete	complete	ADJ
easat-4929	370	15	view	view	NOUN
easat-4929	370	16	of	of	ADP
easat-4929	370	17	each	each	DET
easat-4929	370	18	model	model	NOUN
easat-4929	370	19	's	's	PART
easat-4929	370	20	strengths	strength	NOUN
easat-4929	370	21	and	and	CCONJ
easat-4929	370	22	weaknesses	weakness	NOUN
easat-4929	370	23	.	.	PUNCT
easat-4929	371	1	auc	auc	NOUN
easat-4929	371	2	(	(	PUNCT
easat-4929	371	3	area	area	NOUN
easat-4929	371	4	under	under	ADP
easat-4929	371	5	the	the	DET
easat-4929	371	6	roc	roc	PROPN
easat-4929	371	7	curve	curve	NOUN
easat-4929	371	8	)	)	PUNCT
easat-4929	372	1	[	[	X
easat-4929	372	2	9	9	NUM
easat-4929	372	3	]	]	PUNCT
easat-4929	372	4	is	be	AUX
easat-4929	372	5	calculated	calculate	VERB
easat-4929	372	6	by	by	ADP
easat-4929	372	7	plotting	plot	VERB
easat-4929	372	8	the	the	DET
easat-4929	372	9	true	true	ADJ
easat-4929	372	10	positive	positive	ADJ
easat-4929	372	11	rate	rate	NOUN
easat-4929	372	12	(	(	PUNCT
easat-4929	372	13	recall	recall	NOUN
easat-4929	372	14	)	)	PUNCT
easat-4929	372	15	against	against	ADP
easat-4929	372	16	the	the	DET
easat-4929	372	17	false	false	ADJ
easat-4929	372	18	positive	positive	ADJ
easat-4929	372	19	rate	rate	NOUN
easat-4929	372	20	(	(	PUNCT
easat-4929	372	21	1	1	NUM
easat-4929	372	22	—	—	PUNCT
easat-4929	372	23	specificity	specificity	NOUN
easat-4929	372	24	)	)	PUNCT
easat-4929	372	25	at	at	ADP
easat-4929	372	26	different	different	ADJ
easat-4929	372	27	threshold	threshold	NOUN
easat-4929	372	28	settings	setting	NOUN
easat-4929	372	29	.	.	PUNCT
easat-4929	373	1	it	it	PRON
easat-4929	373	2	measures	measure	VERB
easat-4929	373	3	how	how	SCONJ
easat-4929	373	4	well	well	ADV
easat-4929	373	5	the	the	DET
easat-4929	373	6	model	model	NOUN
easat-4929	373	7	can	can	AUX
easat-4929	373	8	differentiate	differentiate	VERB
easat-4929	373	9	between	between	ADP
easat-4929	373	10	positive	positive	ADJ
easat-4929	373	11	and	and	CCONJ
easat-4929	373	12	negative	negative	ADJ
easat-4929	373	13	classes	class	NOUN
easat-4929	373	14	.	.	PUNCT
easat-4929	374	1	auc	auc	VERB
easat-4929	374	2	ranges	range	VERB
easat-4929	374	3	from	from	ADP
easat-4929	374	4	0	0	NUM
easat-4929	374	5	to	to	ADP
easat-4929	374	6	1	1	NUM
easat-4929	374	7	,	,	PUNCT
easat-4929	374	8	where	where	SCONJ
easat-4929	374	9	1	1	NUM
easat-4929	374	10	represents	represent	VERB
easat-4929	374	11	perfect	perfect	ADJ
easat-4929	374	12	classification	classification	NOUN
easat-4929	374	13	and	and	CCONJ
easat-4929	374	14	0.5	0.5	NUM
easat-4929	374	15	suggests	suggest	VERB
easat-4929	374	16	no	no	DET
easat-4929	374	17	discrimination	discrimination	NOUN
easat-4929	374	18	(	(	PUNCT
easat-4929	374	19	random	random	ADJ
easat-4929	374	20	guessing	guessing	NOUN
easat-4929	374	21	)	)	PUNCT
easat-4929	374	22	.	.	PUNCT
easat-4929	375	1	it	it	PRON
easat-4929	375	2	is	be	AUX
easat-4929	375	3	particularly	particularly	ADV
easat-4929	375	4	useful	useful	ADJ
easat-4929	375	5	in	in	ADP
easat-4929	375	6	evaluating	evaluate	VERB
easat-4929	375	7	the	the	DET
easat-4929	375	8	trade	trade	NOUN
easat-4929	375	9	-	-	PUNCT
easat-4929	375	10	off	off	NOUN
easat-4929	375	11	between	between	ADP
easat-4929	375	12	sensitivity	sensitivity	NOUN
easat-4929	375	13	and	and	CCONJ
easat-4929	375	14	specificity	specificity	NOUN
easat-4929	375	15	.	.	PUNCT
easat-4929	376	1	although	although	SCONJ
easat-4929	376	2	we	we	PRON
easat-4929	376	3	have	have	AUX
easat-4929	376	4	operated	operate	VERB
easat-4929	376	5	with	with	ADP
easat-4929	376	6	auc	auc	NOUN
easat-4929	376	7	as	as	SCONJ
easat-4929	376	8	we	we	PRON
easat-4929	376	9	have	have	AUX
easat-4929	376	10	explained	explain	VERB
easat-4929	376	11	the	the	DET
easat-4929	376	12	reason	reason	NOUN
easat-4929	376	13	why	why	SCONJ
easat-4929	376	14	,	,	PUNCT
easat-4929	376	15	we	we	PRON
easat-4929	376	16	have	have	AUX
easat-4929	376	17	also	also	ADV
easat-4929	376	18	analyzed	analyze	VERB
easat-4929	376	19	with	with	ADP
easat-4929	376	20	mse	mse	NOUN
easat-4929	376	21	and	and	CCONJ
easat-4929	376	22	r	r	NOUN
easat-4929	376	23	"	"	PUNCT
easat-4929	376	24	to	to	PART
easat-4929	376	25	create	create	VERB
easat-4929	376	26	an	an	DET
easat-4929	376	27	idea	idea	NOUN
easat-4929	376	28	that	that	SCONJ
easat-4929	376	29	the	the	DET
easat-4929	376	30	choice	choice	NOUN
easat-4929	376	31	made	make	VERB
easat-4929	376	32	is	be	AUX
easat-4929	376	33	the	the	DET
easat-4929	376	34	right	right	ADJ
easat-4929	376	35	one	one	NUM
easat-4929	376	36	.	.	PUNCT
easat-4929	377	1	accuracy	accuracy	NOUN
easat-4929	377	2	is	be	AUX
easat-4929	377	3	the	the	DET
easat-4929	377	4	metric	metric	ADJ
easat-4929	377	5	which	which	PRON
easat-4929	377	6	refers	refer	VERB
easat-4929	377	7	to	to	ADP
easat-4929	377	8	the	the	DET
easat-4929	377	9	number	number	NOUN
easat-4929	377	10	of	of	ADP
easat-4929	377	11	true	true	ADJ
easat-4929	377	12	results	result	NOUN
easat-4929	377	13	set	set	VERB
easat-4929	377	14	in	in	ADP
easat-4929	377	15	proportion	proportion	NOUN
easat-4929	377	16	to	to	ADP
easat-4929	377	17	the	the	DET
easat-4929	377	18	total	total	ADJ
easat-4929	377	19	number	number	NOUN
easat-4929	377	20	of	of	ADP
easat-4929	377	21	results	result	NOUN
easat-4929	377	22	(	(	PUNCT
easat-4929	377	23	true	true	ADJ
easat-4929	377	24	positives	positive	NOUN
easat-4929	377	25	and	and	CCONJ
easat-4929	377	26	true	true	ADJ
easat-4929	377	27	negatives	negative	NOUN
easat-4929	377	28	)	)	PUNCT
easat-4929	377	29	when	when	SCONJ
easat-4929	377	30	evaluating	evaluate	VERB
easat-4929	377	31	the	the	DET
easat-4929	377	32	precision	precision	NOUN
easat-4929	377	33	of	of	ADP
easat-4929	377	34	the	the	DET
easat-4929	377	35	model	model	NOUN
easat-4929	377	36	.	.	PUNCT
easat-4929	378	1	while	while	SCONJ
easat-4929	378	2	useful	useful	ADJ
easat-4929	378	3	,	,	PUNCT
easat-4929	378	4	accuracy	accuracy	NOUN
easat-4929	378	5	can	can	AUX
easat-4929	378	6	be	be	AUX
easat-4929	378	7	misleading	mislead	VERB
easat-4929	378	8	in	in	ADP
easat-4929	378	9	the	the	DET
easat-4929	378	10	presence	presence	NOUN
easat-4929	378	11	of	of	ADP
easat-4929	378	12	class	class	NOUN
easat-4929	378	13	imbalance	imbalance	NOUN
easat-4929	378	14	as	as	SCONJ
easat-4929	378	15	it	it	PRON
easat-4929	378	16	does	do	AUX
easat-4929	378	17	not	not	PART
easat-4929	378	18	explain	explain	VERB
easat-4929	378	19	the	the	DET
easat-4929	378	20	kind	kind	NOUN
easat-4929	378	21	of	of	ADP
easat-4929	378	22	false	false	ADJ
easat-4929	378	23	results	result	NOUN
easat-4929	378	24	provided	provide	VERB
easat-4929	378	25	.	.	PUNCT
easat-4929	379	1	formula	formula	NOUN
easat-4929	379	2	:	:	PUNCT
easat-4929	379	3	accuracy	accuracy	NOUN
easat-4929	379	4	=	=	SYM
easat-4929	379	5	(	(	PUNCT
easat-4929	379	6	tp+tn)/(tp+tn+fp+fn	tp+tn)/(tp+tn+fp+fn	NOUN
easat-4929	379	7	)	)	PUNCT
easat-4929	379	8	recall	recall	NOUN
easat-4929	379	9	is	be	AUX
easat-4929	379	10	a	a	DET
easat-4929	379	11	metric	metric	ADJ
easat-4929	379	12	used	use	VERB
easat-4929	379	13	to	to	PART
easat-4929	379	14	evaluate	evaluate	VERB
easat-4929	379	15	how	how	SCONJ
easat-4929	379	16	well	well	ADV
easat-4929	379	17	the	the	DET
easat-4929	379	18	model	model	NOUN
easat-4929	379	19	identifies	identify	VERB
easat-4929	379	20	positive	positive	ADJ
easat-4929	379	21	cases	case	NOUN
easat-4929	379	22	.	.	PUNCT
easat-4929	380	1	it	it	PRON
easat-4929	380	2	estimates	estimate	VERB
easat-4929	380	3	the	the	DET
easat-4929	380	4	model	model	NOUN
easat-4929	380	5	's	's	PART
easat-4929	380	6	ability	ability	NOUN
easat-4929	380	7	to	to	PART
easat-4929	380	8	recognize	recognize	VERB
easat-4929	380	9	all	all	DET
easat-4929	380	10	relevant	relevant	ADJ
easat-4929	380	11	instances	instance	NOUN
easat-4929	380	12	(	(	PUNCT
easat-4929	380	13	true	true	ADJ
easat-4929	380	14	positives	positive	NOUN
easat-4929	380	15	)	)	PUNCT
easat-4929	380	16	out	out	ADP
easat-4929	380	17	of	of	ADP
easat-4929	380	18	the	the	DET
easat-4929	380	19	actual	actual	ADJ
easat-4929	380	20	positives	positive	NOUN
easat-4929	380	21	.	.	PUNCT
easat-4929	381	1	high	high	ADJ
easat-4929	381	2	recall	recall	NOUN
easat-4929	381	3	is	be	AUX
easat-4929	381	4	important	important	ADJ
easat-4929	381	5	in	in	ADP
easat-4929	381	6	scenarios	scenario	NOUN
easat-4929	381	7	where	where	SCONJ
easat-4929	381	8	missing	miss	VERB
easat-4929	381	9	positive	positive	ADJ
easat-4929	381	10	cases	case	NOUN
easat-4929	381	11	(	(	PUNCT
easat-4929	381	12	e.g.	e.g.	ADV
easat-4929	381	13	,	,	PUNCT
easat-4929	381	14	failing	fail	VERB
easat-4929	381	15	to	to	PART
easat-4929	381	16	identify	identify	VERB
easat-4929	381	17	a	a	DET
easat-4929	381	18	patient	patient	NOUN
easat-4929	381	19	at	at	ADP
easat-4929	381	20	risk	risk	NOUN
easat-4929	381	21	of	of	ADP
easat-4929	381	22	readmission	readmission	NOUN
easat-4929	381	23	)	)	PUNCT
easat-4929	381	24	is	be	AUX
easat-4929	381	25	costly	costly	ADJ
easat-4929	381	26	or	or	CCONJ
easat-4929	381	27	where	where	SCONJ
easat-4929	381	28	the	the	DET
easat-4929	381	29	detection	detection	NOUN
easat-4929	381	30	of	of	ADP
easat-4929	381	31	positive	positive	ADJ
easat-4929	381	32	cases	case	NOUN
easat-4929	381	33	is	be	AUX
easat-4929	381	34	crucial	crucial	ADJ
easat-4929	381	35	.	.	PUNCT
easat-4929	382	1	formula	formula	NOUN
easat-4929	382	2	:	:	PUNCT
easat-4929	382	3	recall	recall	NOUN
easat-4929	382	4	=	=	SYM
easat-4929	382	5	tp/(tp+fn	tp/(tp+fn	NOUN
easat-4929	382	6	)	)	PUNCT
easat-4929	382	7	precision	precision	NOUN
easat-4929	382	8	measures	measure	VERB
easat-4929	382	9	the	the	DET
easat-4929	382	10	accuracy	accuracy	NOUN
easat-4929	382	11	of	of	ADP
easat-4929	382	12	the	the	DET
easat-4929	382	13	positive	positive	ADJ
easat-4929	382	14	predictions	prediction	NOUN
easat-4929	382	15	.	.	PUNCT
easat-4929	383	1	it	it	PRON
easat-4929	383	2	represents	represent	VERB
easat-4929	383	3	the	the	DET
easat-4929	383	4	proportion	proportion	NOUN
easat-4929	383	5	of	of	ADP
easat-4929	383	6	positive	positive	ADJ
easat-4929	383	7	predictions	prediction	NOUN
easat-4929	383	8	made	make	VERB
easat-4929	383	9	by	by	ADP
easat-4929	383	10	the	the	DET
easat-4929	383	11	model	model	NOUN
easat-4929	383	12	that	that	PRON
easat-4929	383	13	are	be	AUX
easat-4929	383	14	truly	truly	ADV
easat-4929	383	15	positive	positive	ADJ
easat-4929	383	16	.	.	PUNCT
easat-4929	384	1	high	high	ADJ
easat-4929	384	2	precision	precision	NOUN
easat-4929	384	3	is	be	AUX
easat-4929	384	4	crucial	crucial	ADJ
easat-4929	384	5	when	when	SCONJ
easat-4929	384	6	the	the	DET
easat-4929	384	7	cost	cost	NOUN
easat-4929	384	8	of	of	ADP
easat-4929	384	9	false	false	ADJ
easat-4929	384	10	positives	positive	NOUN
easat-4929	384	11	is	be	AUX
easat-4929	384	12	high	high	ADJ
easat-4929	385	1	[	[	X
easat-4929	385	2	27	27	NUM
easat-4929	385	3	]	]	PUNCT
easat-4929	385	4	.	.	PUNCT
easat-4929	386	1	formula	formula	NOUN
easat-4929	386	2	:	:	PUNCT
easat-4929	386	3	precision	precision	NOUN
easat-4929	386	4	=	=	SYM
easat-4929	386	5	tp/(tp+fp	tp/(tp+fp	ADJ
easat-4929	386	6	)	)	PUNCT
easat-4929	386	7	specificity	specificity	NOUN
easat-4929	386	8	(	(	PUNCT
easat-4929	386	9	true	true	ADJ
easat-4929	386	10	negative	negative	ADJ
easat-4929	386	11	rate	rate	NOUN
easat-4929	386	12	)	)	PUNCT
easat-4929	386	13	measures	measure	NOUN
easat-4929	386	14	how	how	SCONJ
easat-4929	386	15	well	well	ADV
easat-4929	386	16	a	a	DET
easat-4929	386	17	model	model	NOUN
easat-4929	386	18	correctly	correctly	ADV
easat-4929	386	19	identifies	identify	VERB
easat-4929	386	20	and	and	CCONJ
easat-4929	386	21	calculate	calculate	VERB
easat-4929	386	22	its	its	PRON
easat-4929	386	23	true	true	ADJ
easat-4929	386	24	negative	negative	ADJ
easat-4929	386	25	rate	rate	NOUN
easat-4929	386	26	,	,	PUNCT
easat-4929	386	27	and	and	CCONJ
easat-4929	386	28	so	so	ADV
easat-4929	386	29	indicates	indicate	VERB
easat-4929	386	30	how	how	SCONJ
easat-4929	386	31	well	well	ADV
easat-4929	386	32	a	a	DET
easat-4929	386	33	model	model	NOUN
easat-4929	386	34	avoids	avoid	VERB
easat-4929	386	35	false	false	ADJ
easat-4929	386	36	positives	positive	NOUN
easat-4929	386	37	for	for	ADP
easat-4929	386	38	a	a	DET
easat-4929	386	39	condition	condition	NOUN
easat-4929	386	40	.	.	PUNCT
easat-4929	387	1	high	high	ADJ
easat-4929	387	2	specificity	specificity	NOUN
easat-4929	387	3	mitigates	mitigate	VERB
easat-4929	387	4	the	the	DET
easat-4929	387	5	chances	chance	NOUN
easat-4929	387	6	of	of	ADP
easat-4929	387	7	undue	undue	ADJ
easat-4929	387	8	anxiety	anxiety	NOUN
easat-4929	387	9	and	and	CCONJ
easat-4929	387	10	any	any	DET
easat-4929	387	11	treatment	treatment	NOUN
easat-4929	387	12	for	for	ADP
easat-4929	387	13	patients	patient	NOUN
easat-4929	387	14	,	,	PUNCT
easat-4929	387	15	who	who	PRON
easat-4929	387	16	are	be	AUX
easat-4929	387	17	not	not	PART
easat-4929	387	18	at	at	ADP
easat-4929	387	19	risk	risk	NOUN
easat-4929	387	20	,	,	PUNCT
easat-4929	387	21	are	be	AUX
easat-4929	387	22	not	not	PART
easat-4929	387	23	mistakenly	mistakenly	ADV
easat-4929	387	24	identified	identify	VERB
easat-4929	387	25	as	as	ADP
easat-4929	387	26	at	at	ADP
easat-4929	387	27	risk	risk	NOUN
easat-4929	387	28	,	,	PUNCT
easat-4929	387	29	avoiding	avoid	VERB
easat-4929	387	30	unnecessary	unnecessary	ADJ
easat-4929	387	31	stress	stress	NOUN
easat-4929	387	32	and	and	CCONJ
easat-4929	387	33	treatment	treatment	NOUN
easat-4929	387	34	.	.	PUNCT
easat-4929	388	1	1818	1818	NUM
easat-4929	388	2	edelweiss	edelweiss	PROPN
easat-4929	388	3	applied	apply	VERB
easat-4929	388	4	science	science	NOUN
easat-4929	388	5	and	and	CCONJ
easat-4929	388	6	technology	technology	NOUN
easat-4929	388	7	issn	issn	PROPN
easat-4929	388	8	:	:	PUNCT
easat-4929	388	9	2576	2576	NUM
easat-4929	388	10	-	-	SYM
easat-4929	388	11	8484	8484	NUM
easat-4929	388	12	vol	vol	NOUN
easat-4929	388	13	.	.	PROPN
easat-4929	389	1	9	9	NUM
easat-4929	389	2	,	,	PUNCT
easat-4929	389	3	no	no	INTJ
easat-4929	389	4	.	.	NOUN
easat-4929	389	5	2	2	NUM
easat-4929	389	6	:	:	SYM
easat-4929	389	7	1803	1803	NUM
easat-4929	389	8	-	-	SYM
easat-4929	389	9	1829	1829	NUM
easat-4929	389	10	,	,	PUNCT
easat-4929	389	11	2025	2025	NUM
easat-4929	389	12	doi	doi	NOUN
easat-4929	389	13	:	:	PUNCT
easat-4929	389	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	389	15	©	©	PROPN
easat-4929	389	16	2025	2025	NUM
easat-4929	389	17	by	by	ADP
easat-4929	389	18	the	the	DET
easat-4929	389	19	authors	author	NOUN
easat-4929	389	20	;	;	PUNCT
easat-4929	389	21	licensee	licensee	PROPN
easat-4929	389	22	learning	learning	NOUN
easat-4929	389	23	gate	gate	NOUN
easat-4929	389	24	specificity	specificity	NOUN
easat-4929	389	25	=	=	SYM
easat-4929	389	26	tn/(tn+fp	tn/(tn+fp	PROPN
easat-4929	389	27	)	)	PUNCT
easat-4929	389	28	the	the	DET
easat-4929	389	29	f1	f1	PROPN
easat-4929	389	30	score	score	NOUN
easat-4929	389	31	is	be	AUX
easat-4929	389	32	effective	effective	ADJ
easat-4929	389	33	as	as	SCONJ
easat-4929	389	34	it	it	PRON
easat-4929	389	35	gives	give	VERB
easat-4929	389	36	an	an	DET
easat-4929	389	37	average	average	NOUN
easat-4929	389	38	of	of	ADP
easat-4929	389	39	precision	precision	NOUN
easat-4929	389	40	and	and	CCONJ
easat-4929	389	41	recall	recall	NOUN
easat-4929	389	42	,	,	PUNCT
easat-4929	389	43	which	which	PRON
easat-4929	389	44	makes	make	VERB
easat-4929	389	45	it	it	PRON
easat-4929	389	46	easier	easy	ADJ
easat-4929	389	47	to	to	PART
easat-4929	389	48	deal	deal	VERB
easat-4929	389	49	with	with	ADP
easat-4929	389	50	problems	problem	NOUN
easat-4929	389	51	that	that	PRON
easat-4929	389	52	have	have	VERB
easat-4929	389	53	false	false	ADJ
easat-4929	389	54	positives	positive	NOUN
easat-4929	389	55	and	and	CCONJ
easat-4929	389	56	false	false	ADJ
easat-4929	389	57	negatives	negative	NOUN
easat-4929	389	58	.	.	PUNCT
easat-4929	390	1	f1	f1	NOUN
easat-4929	390	2	=	=	NOUN
easat-4929	390	3	2	2	NUM
easat-4929	390	4	*	*	PUNCT
easat-4929	390	5	(	(	PUNCT
easat-4929	390	6	precision	precision	NOUN
easat-4929	390	7	*	*	PUNCT
easat-4929	390	8	recall)/((precision	recall)/((precision	NOUN
easat-4929	390	9	+	+	CCONJ
easat-4929	390	10	recall	recall	NOUN
easat-4929	390	11	)	)	PUNCT
easat-4929	390	12	)	)	PUNCT
easat-4929	391	1	a	a	DET
easat-4929	391	2	confusion	confusion	NOUN
easat-4929	391	3	matrix	matrix	NOUN
easat-4929	391	4	is	be	AUX
easat-4929	391	5	a	a	DET
easat-4929	391	6	table	table	NOUN
easat-4929	391	7	that	that	PRON
easat-4929	391	8	enables	enable	VERB
easat-4929	391	9	the	the	DET
easat-4929	391	10	visualization	visualization	NOUN
easat-4929	391	11	of	of	ADP
easat-4929	391	12	the	the	DET
easat-4929	391	13	performance	performance	NOUN
easat-4929	391	14	of	of	ADP
easat-4929	391	15	a	a	DET
easat-4929	391	16	classification	classification	NOUN
easat-4929	391	17	model	model	NOUN
easat-4929	391	18	.	.	PUNCT
easat-4929	392	1	it	it	PRON
easat-4929	392	2	presents	present	VERB
easat-4929	392	3	the	the	DET
easat-4929	392	4	true	true	ADJ
easat-4929	392	5	positives	positive	NOUN
easat-4929	392	6	,	,	PUNCT
easat-4929	392	7	true	true	ADJ
easat-4929	392	8	negatives	negative	NOUN
easat-4929	392	9	,	,	PUNCT
easat-4929	392	10	false	false	ADJ
easat-4929	392	11	positives	positive	NOUN
easat-4929	392	12	,	,	PUNCT
easat-4929	392	13	and	and	CCONJ
easat-4929	392	14	false	false	ADJ
easat-4929	392	15	negatives	negative	NOUN
easat-4929	392	16	and	and	CCONJ
easat-4929	392	17	enables	enable	VERB
easat-4929	392	18	a	a	DET
easat-4929	392	19	more	more	ADV
easat-4929	392	20	granular	granular	ADJ
easat-4929	392	21	analysis	analysis	NOUN
easat-4929	392	22	of	of	ADP
easat-4929	392	23	the	the	DET
easat-4929	392	24	model	model	NOUN
easat-4929	392	25	’s	’s	PART
easat-4929	392	26	performance	performance	NOUN
easat-4929	392	27	and	and	CCONJ
easat-4929	392	28	prediction	prediction	NOUN
easat-4929	392	29	and	and	CCONJ
easat-4929	392	30	helps	helps	AUX
easat-4929	392	31	quantify	quantify	VERB
easat-4929	392	32	other	other	ADJ
easat-4929	392	33	parameters	parameter	NOUN
easat-4929	392	34	and	and	CCONJ
easat-4929	392	35	highlight	highlight	VERB
easat-4929	392	36	where	where	SCONJ
easat-4929	392	37	the	the	DET
easat-4929	392	38	model	model	NOUN
easat-4929	392	39	is	be	AUX
easat-4929	392	40	misclassifying	misclassifye	VERB
easat-4929	392	41	[	[	PUNCT
easat-4929	392	42	27	27	NUM
easat-4929	392	43	]	]	PUNCT
easat-4929	392	44	.	.	PUNCT
easat-4929	393	1	confusion	confusion	NOUN
easat-4929	393	2	matrix	matrix	NOUN
easat-4929	393	3	in	in	ADP
easat-4929	393	4	table	table	NOUN
easat-4929	393	5	1	1	NUM
easat-4929	393	6	is	be	AUX
easat-4929	393	7	used	use	VERB
easat-4929	393	8	to	to	PART
easat-4929	393	9	evaluate	evaluate	VERB
easat-4929	393	10	other	other	ADJ
easat-4929	393	11	models	model	NOUN
easat-4929	393	12	’	'	PUNCT
easat-4929	393	13	evaluation	evaluation	NOUN
easat-4929	393	14	metrics	metric	NOUN
easat-4929	393	15	.	.	PUNCT
easat-4929	394	1	table	table	NOUN
easat-4929	394	2	1	1	NUM
easat-4929	394	3	.	.	PUNCT
easat-4929	394	4	confusion	confusion	NOUN
easat-4929	394	5	matrix	matrix	NOUN
easat-4929	394	6	.	.	PUNCT
easat-4929	395	1	predicted	predict	VERB
easat-4929	395	2	positive	positive	ADJ
easat-4929	395	3	predicted	predict	VERB
easat-4929	395	4	negative	negative	ADJ
easat-4929	395	5	actual	actual	ADJ
easat-4929	395	6	positive	positive	ADJ
easat-4929	395	7	true	true	ADJ
easat-4929	395	8	positive	positive	ADJ
easat-4929	395	9	(	(	PUNCT
easat-4929	395	10	tp	tp	NOUN
easat-4929	395	11	)	)	PUNCT
easat-4929	395	12	false	false	ADJ
easat-4929	395	13	negative	negative	ADJ
easat-4929	395	14	(	(	PUNCT
easat-4929	395	15	fn	fn	NOUN
easat-4929	395	16	)	)	PUNCT
easat-4929	395	17	actual	actual	ADJ
easat-4929	395	18	negative	negative	ADJ
easat-4929	395	19	false	false	ADJ
easat-4929	395	20	positive	positive	ADJ
easat-4929	395	21	(	(	PUNCT
easat-4929	395	22	fp	fp	NOUN
easat-4929	395	23	)	)	PUNCT
easat-4929	395	24	true	true	ADJ
easat-4929	395	25	negative	negative	ADJ
easat-4929	395	26	(	(	PUNCT
easat-4929	395	27	tn	tn	NOUN
easat-4929	395	28	)	)	PUNCT
easat-4929	395	29	3.6.1	3.6.1	NUM
easat-4929	395	30	.	.	PUNCT
easat-4929	395	31	training	training	NOUN
easat-4929	395	32	process	process	NOUN
easat-4929	395	33	the	the	DET
easat-4929	395	34	dataset	dataset	NOUN
easat-4929	395	35	was	be	AUX
easat-4929	395	36	divided	divide	VERB
easat-4929	395	37	into	into	ADP
easat-4929	395	38	x_train	x_train	PROPN
easat-4929	395	39	,	,	PUNCT
easat-4929	395	40	y_train	y_train	NOUN
easat-4929	395	41	and	and	CCONJ
easat-4929	395	42	x_valid	x_valid	PRON
easat-4929	395	43	,	,	PUNCT
easat-4929	395	44	y_valid	y_valid	PROPN
easat-4929	395	45	,	,	PUNCT
easat-4929	395	46	which	which	PRON
easat-4929	395	47	are	be	AUX
easat-4929	395	48	datasets	dataset	NOUN
easat-4929	395	49	for	for	ADP
easat-4929	395	50	training	training	NOUN
easat-4929	395	51	,	,	PUNCT
easat-4929	395	52	validating	validate	VERB
easat-4929	395	53	and	and	CCONJ
easat-4929	395	54	testing	testing	NOUN
easat-4929	395	55	.	.	PUNCT
easat-4929	396	1	each	each	DET
easat-4929	396	2	model	model	NOUN
easat-4929	396	3	was	be	AUX
easat-4929	396	4	developed	develop	VERB
easat-4929	396	5	and	and	CCONJ
easat-4929	396	6	tested	test	VERB
easat-4929	396	7	with	with	ADP
easat-4929	396	8	several	several	ADJ
easat-4929	396	9	performance	performance	NOUN
easat-4929	396	10	metrics	metric	NOUN
easat-4929	396	11	:	:	PUNCT
easat-4929	396	12	auc	auc	NOUN
easat-4929	396	13	,	,	PUNCT
easat-4929	396	14	accuracy	accuracy	NOUN
easat-4929	396	15	,	,	PUNCT
easat-4929	396	16	recall	recall	NOUN
easat-4929	396	17	,	,	PUNCT
easat-4929	396	18	precision	precision	NOUN
easat-4929	396	19	,	,	PUNCT
easat-4929	396	20	specificity	specificity	NOUN
easat-4929	396	21	,	,	PUNCT
easat-4929	396	22	and	and	CCONJ
easat-4929	396	23	f1	f1	NOUN
easat-4929	396	24	score	score	NOUN
easat-4929	396	25	.	.	PUNCT
easat-4929	397	1	however	however	ADV
easat-4929	397	2	,	,	PUNCT
easat-4929	397	3	model	model	ADJ
easat-4929	397	4	comparison	comparison	NOUN
easat-4929	397	5	was	be	AUX
easat-4929	397	6	mainly	mainly	ADV
easat-4929	397	7	based	base	VERB
easat-4929	397	8	on	on	ADP
easat-4929	397	9	auc	auc	NOUN
easat-4929	397	10	scores	score	NOUN
easat-4929	397	11	.	.	PUNCT
easat-4929	398	1	auc	auc	NOUN
easat-4929	398	2	scores	score	NOUN
easat-4929	398	3	showed	show	VERB
easat-4929	398	4	that	that	SCONJ
easat-4929	398	5	:	:	PUNCT
easat-4929	398	6	logistic	logistic	ADJ
easat-4929	398	7	regression	regression	NOUN
easat-4929	398	8	displayed	display	VERB
easat-4929	398	9	a	a	DET
easat-4929	398	10	balanced	balanced	ADJ
easat-4929	398	11	but	but	CCONJ
easat-4929	398	12	low	low	ADJ
easat-4929	398	13	auc	auc	NOUN
easat-4929	398	14	performance	performance	NOUN
easat-4929	398	15	,	,	PUNCT
easat-4929	398	16	with	with	ADP
easat-4929	398	17	0.782	0.782	NUM
easat-4929	398	18	on	on	ADP
easat-4929	398	19	the	the	DET
easat-4929	398	20	training	training	NOUN
easat-4929	398	21	set	set	NOUN
easat-4929	398	22	and	and	CCONJ
easat-4929	398	23	0.569	0.569	NUM
easat-4929	398	24	on	on	ADP
easat-4929	398	25	the	the	DET
easat-4929	398	26	validation	validation	NOUN
easat-4929	398	27	set	set	NOUN
easat-4929	398	28	.	.	PUNCT
easat-4929	399	1	sgd	sgd	PROPN
easat-4929	399	2	showed	show	VERB
easat-4929	399	3	similar	similar	ADJ
easat-4929	399	4	behavior	behavior	NOUN
easat-4929	399	5	to	to	ADP
easat-4929	399	6	lr	lr	NOUN
easat-4929	399	7	,	,	PUNCT
easat-4929	399	8	slightly	slightly	ADV
easat-4929	399	9	dropping	drop	VERB
easat-4929	399	10	from	from	ADP
easat-4929	399	11	0.692	0.692	NUM
easat-4929	399	12	in	in	ADP
easat-4929	399	13	training	training	NOUN
easat-4929	399	14	to	to	ADP
easat-4929	399	15	0.585	0.585	NUM
easat-4929	399	16	in	in	ADP
easat-4929	399	17	the	the	DET
easat-4929	399	18	validation	validation	NOUN
easat-4929	399	19	set	set	NOUN
easat-4929	399	20	.	.	PUNCT
easat-4929	400	1	decision	decision	NOUN
easat-4929	400	2	trees	tree	NOUN
easat-4929	400	3	exhibited	exhibit	VERB
easat-4929	400	4	significant	significant	ADJ
easat-4929	400	5	overfitting	overfitting	NOUN
easat-4929	400	6	,	,	PUNCT
easat-4929	400	7	with	with	ADP
easat-4929	400	8	a	a	DET
easat-4929	400	9	high	high	ADJ
easat-4929	400	10	training	training	NOUN
easat-4929	400	11	auc	auc	NOUN
easat-4929	400	12	and	and	CCONJ
easat-4929	400	13	a	a	DET
easat-4929	400	14	substantial	substantial	ADJ
easat-4929	400	15	drop	drop	NOUN
easat-4929	400	16	in	in	ADP
easat-4929	400	17	validation	validation	NOUN
easat-4929	400	18	auc	auc	NOUN
easat-4929	400	19	.	.	PUNCT
easat-4929	401	1	random	random	ADJ
easat-4929	401	2	forest	forest	NOUN
easat-4929	401	3	performed	perform	VERB
easat-4929	401	4	well	well	ADV
easat-4929	401	5	on	on	ADP
easat-4929	401	6	the	the	DET
easat-4929	401	7	training	training	NOUN
easat-4929	401	8	set	set	NOUN
easat-4929	401	9	(	(	PUNCT
easat-4929	401	10	auc	auc	NOUN
easat-4929	401	11	of	of	ADP
easat-4929	401	12	0.848	0.848	NUM
easat-4929	401	13	)	)	PUNCT
easat-4929	401	14	but	but	CCONJ
easat-4929	401	15	showed	show	VERB
easat-4929	401	16	a	a	DET
easat-4929	401	17	notable	notable	ADJ
easat-4929	401	18	drop	drop	NOUN
easat-4929	401	19	to	to	ADP
easat-4929	401	20	0.457	0.457	NUM
easat-4929	401	21	on	on	ADP
easat-4929	401	22	the	the	DET
easat-4929	401	23	validation	validation	NOUN
easat-4929	401	24	set	set	NOUN
easat-4929	401	25	,	,	PUNCT
easat-4929	401	26	though	though	SCONJ
easat-4929	401	27	still	still	ADV
easat-4929	401	28	better	well	ADV
easat-4929	401	29	than	than	ADP
easat-4929	401	30	dt	dt	PROPN
easat-4929	401	31	,	,	PUNCT
easat-4929	401	32	indicating	indicate	VERB
easat-4929	401	33	some	some	DET
easat-4929	401	34	overfitting	overfitting	NOUN
easat-4929	401	35	.	.	PUNCT
easat-4929	402	1	gradient	gradient	ADJ
easat-4929	402	2	boosting	boost	VERB
easat-4929	402	3	(	(	PUNCT
easat-4929	402	4	gb	gb	NOUN
easat-4929	402	5	)	)	PUNCT
easat-4929	402	6	and	and	CCONJ
easat-4929	402	7	xgboost	xgboost	ADV
easat-4929	402	8	(	(	PUNCT
easat-4929	402	9	xgb	xgb	PROPN
easat-4929	402	10	)	)	PUNCT
easat-4929	402	11	had	have	VERB
easat-4929	402	12	the	the	DET
easat-4929	402	13	highest	high	ADJ
easat-4929	402	14	auc	auc	NOUN
easat-4929	402	15	scores	score	NOUN
easat-4929	402	16	in	in	ADP
easat-4929	402	17	training	training	NOUN
easat-4929	402	18	but	but	CCONJ
easat-4929	402	19	considerably	considerably	ADV
easat-4929	402	20	dropped	drop	VERB
easat-4929	402	21	,	,	PUNCT
easat-4929	402	22	suggesting	suggest	VERB
easat-4929	402	23	overfitting	overfitting	NOUN
easat-4929	402	24	.	.	PUNCT
easat-4929	403	1	respectively	respectively	ADV
easat-4929	403	2	gb	gb	ADP
easat-4929	403	3	training	training	NOUN
easat-4929	403	4	set	set	VERB
easat-4929	403	5	auc	auc	NOUN
easat-4929	403	6	0.974	0.974	NUM
easat-4929	403	7	and	and	CCONJ
easat-4929	403	8	validation	validation	NOUN
easat-4929	403	9	0.438	0.438	NUM
easat-4929	403	10	while	while	SCONJ
easat-4929	403	11	xgb	xgb	PROPN
easat-4929	403	12	train	train	VERB
easat-4929	403	13	0.945	0.945	NUM
easat-4929	403	14	and	and	CCONJ
easat-4929	403	15	validation	validation	NOUN
easat-4929	403	16	0.438	0.438	NUM
easat-4929	403	17	.	.	PUNCT
easat-4929	404	1	the	the	DET
easat-4929	404	2	results	result	NOUN
easat-4929	404	3	,	,	PUNCT
easat-4929	404	4	visualized	visualize	VERB
easat-4929	404	5	in	in	ADP
easat-4929	404	6	the	the	DET
easat-4929	404	7	figure	figure	NOUN
easat-4929	404	8	7	7	NUM
easat-4929	404	9	,	,	PUNCT
easat-4929	404	10	highlight	highlight	VERB
easat-4929	404	11	the	the	DET
easat-4929	404	12	trade	trade	NOUN
easat-4929	404	13	-	-	PUNCT
easat-4929	404	14	off	off	NOUN
easat-4929	404	15	between	between	ADP
easat-4929	404	16	model	model	NOUN
easat-4929	404	17	complexity	complexity	NOUN
easat-4929	404	18	and	and	CCONJ
easat-4929	404	19	generalization	generalization	NOUN
easat-4929	404	20	ability	ability	NOUN
easat-4929	404	21	.	.	PUNCT
easat-4929	405	1	models	model	NOUN
easat-4929	405	2	like	like	ADP
easat-4929	405	3	gb	gb	NOUN
easat-4929	405	4	and	and	CCONJ
easat-4929	405	5	xgb	xgb	NUM
easat-4929	405	6	,	,	PUNCT
easat-4929	405	7	while	while	SCONJ
easat-4929	405	8	powerful	powerful	ADJ
easat-4929	405	9	,	,	PUNCT
easat-4929	405	10	need	need	VERB
easat-4929	405	11	tuning	tune	VERB
easat-4929	405	12	to	to	PART
easat-4929	405	13	prevent	prevent	VERB
easat-4929	405	14	overfitting	overfitting	NOUN
easat-4929	405	15	,	,	PUNCT
easat-4929	405	16	while	while	SCONJ
easat-4929	405	17	simpler	simple	ADJ
easat-4929	405	18	models	model	NOUN
easat-4929	405	19	like	like	ADP
easat-4929	405	20	lr	lr	NOUN
easat-4929	405	21	and	and	CCONJ
easat-4929	405	22	sgd	sgd	NOUN
easat-4929	405	23	,	,	PUNCT
easat-4929	405	24	though	though	SCONJ
easat-4929	405	25	more	more	ADV
easat-4929	405	26	stable	stable	ADJ
easat-4929	405	27	,	,	PUNCT
easat-4929	405	28	require	require	VERB
easat-4929	405	29	enhancement	enhancement	NOUN
easat-4929	405	30	to	to	PART
easat-4929	405	31	capture	capture	VERB
easat-4929	405	32	data	datum	NOUN
easat-4929	405	33	details	detail	NOUN
easat-4929	405	34	.	.	PUNCT
easat-4929	406	1	1819	1819	NUM
easat-4929	406	2	edelweiss	edelweiss	PROPN
easat-4929	406	3	applied	apply	VERB
easat-4929	406	4	science	science	NOUN
easat-4929	406	5	and	and	CCONJ
easat-4929	406	6	technology	technology	NOUN
easat-4929	406	7	issn	issn	PROPN
easat-4929	406	8	:	:	PUNCT
easat-4929	406	9	2576	2576	NUM
easat-4929	406	10	-	-	SYM
easat-4929	406	11	8484	8484	NUM
easat-4929	406	12	vol	vol	NOUN
easat-4929	406	13	.	.	PROPN
easat-4929	407	1	9	9	NUM
easat-4929	407	2	,	,	PUNCT
easat-4929	407	3	no	no	INTJ
easat-4929	407	4	.	.	NOUN
easat-4929	407	5	2	2	NUM
easat-4929	407	6	:	:	SYM
easat-4929	407	7	1803	1803	NUM
easat-4929	407	8	-	-	SYM
easat-4929	407	9	1829	1829	NUM
easat-4929	407	10	,	,	PUNCT
easat-4929	407	11	2025	2025	NUM
easat-4929	407	12	doi	doi	NOUN
easat-4929	407	13	:	:	PUNCT
easat-4929	407	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	407	15	©	©	PROPN
easat-4929	407	16	2025	2025	NUM
easat-4929	407	17	by	by	ADP
easat-4929	407	18	the	the	DET
easat-4929	407	19	authors	author	NOUN
easat-4929	407	20	;	;	PUNCT
easat-4929	407	21	licensee	licensee	PROPN
easat-4929	407	22	learning	learn	VERB
easat-4929	407	23	gate	gate	NOUN
easat-4929	407	24	figure	figure	NOUN
easat-4929	407	25	7	7	NUM
easat-4929	407	26	.	.	PUNCT
easat-4929	408	1	auc	auc	VERB
easat-4929	408	2	comparison	comparison	NOUN
easat-4929	408	3	of	of	ADP
easat-4929	408	4	models	model	NOUN
easat-4929	408	5	.	.	PUNCT
easat-4929	409	1	following	follow	VERB
easat-4929	409	2	these	these	DET
easat-4929	409	3	comparisons	comparison	NOUN
easat-4929	409	4	,	,	PUNCT
easat-4929	409	5	in	in	ADP
easat-4929	409	6	order	order	NOUN
easat-4929	409	7	not	not	PART
easat-4929	409	8	to	to	PART
easat-4929	409	9	overlook	overlook	VERB
easat-4929	409	10	any	any	DET
easat-4929	409	11	other	other	ADJ
easat-4929	409	12	possibility	possibility	NOUN
easat-4929	409	13	,	,	PUNCT
easat-4929	409	14	even	even	ADV
easat-4929	409	15	there	there	PRON
easat-4929	409	16	are	be	VERB
easat-4929	409	17	several	several	ADJ
easat-4929	409	18	such	such	ADJ
easat-4929	409	19	,	,	PUNCT
easat-4929	409	20	we	we	PRON
easat-4929	409	21	also	also	ADV
easat-4929	409	22	made	make	VERB
easat-4929	409	23	an	an	DET
easat-4929	409	24	attempt	attempt	NOUN
easat-4929	409	25	outside	outside	ADP
easat-4929	409	26	of	of	ADP
easat-4929	409	27	these	these	DET
easat-4929	409	28	parametric	parametric	ADJ
easat-4929	409	29	comparisons	comparison	NOUN
easat-4929	409	30	of	of	ADP
easat-4929	409	31	the	the	DET
easat-4929	409	32	algorithms	algorithm	NOUN
easat-4929	409	33	described	describe	VERB
easat-4929	409	34	above	above	ADV
easat-4929	409	35	.	.	PUNCT
easat-4929	410	1	we	we	PRON
easat-4929	410	2	followed	follow	VERB
easat-4929	410	3	the	the	DET
easat-4929	410	4	same	same	ADJ
easat-4929	410	5	procedure	procedure	NOUN
easat-4929	410	6	by	by	ADP
easat-4929	410	7	applying	apply	VERB
easat-4929	410	8	svm	svm	NOUN
easat-4929	410	9	and	and	CCONJ
easat-4929	410	10	rnn	rnn	NOUN
easat-4929	410	11	.	.	PUNCT
easat-4929	411	1	we	we	PRON
easat-4929	411	2	create	create	VERB
easat-4929	411	3	both	both	CCONJ
easat-4929	411	4	a	a	DET
easat-4929	411	5	baseline	baseline	ADJ
easat-4929	411	6	and	and	CCONJ
easat-4929	411	7	optimized	optimize	VERB
easat-4929	411	8	svm	svm	PROPN
easat-4929	411	9	model	model	NOUN
easat-4929	411	10	to	to	PART
easat-4929	411	11	compare	compare	VERB
easat-4929	411	12	their	their	PRON
easat-4929	411	13	auc	auc	NOUN
easat-4929	411	14	scores	score	NOUN
easat-4929	411	15	.	.	PUNCT
easat-4929	412	1	use	use	VERB
easat-4929	412	2	the	the	DET
easat-4929	412	3	'	'	PUNCT
easat-4929	412	4	readmitted	readmitted	ADJ
easat-4929	412	5	'	'	PUNCT
easat-4929	412	6	column	column	NOUN
easat-4929	412	7	as	as	ADP
easat-4929	412	8	our	our	PRON
easat-4929	412	9	target	target	NOUN
easat-4929	412	10	variable	variable	NOUN
easat-4929	412	11	.	.	PUNCT
easat-4929	413	1	the	the	DET
easat-4929	413	2	base	base	ADJ
easat-4929	413	3	svm	svm	PROPN
easat-4929	413	4	model	model	NOUN
easat-4929	413	5	achieved	achieve	VERB
easat-4929	413	6	an	an	DET
easat-4929	413	7	auc	auc	ADJ
easat-4929	413	8	score	score	NOUN
easat-4929	413	9	of	of	ADP
easat-4929	413	10	0.51	0.51	NUM
easat-4929	413	11	,	,	PUNCT
easat-4929	413	12	while	while	SCONJ
easat-4929	413	13	the	the	DET
easat-4929	413	14	optimized	optimize	VERB
easat-4929	413	15	svm	svm	PROPN
easat-4929	413	16	model	model	NOUN
easat-4929	413	17	achieved	achieve	VERB
easat-4929	413	18	an	an	DET
easat-4929	413	19	auc	auc	ADJ
easat-4929	413	20	score	score	NOUN
easat-4929	413	21	of	of	ADP
easat-4929	413	22	0.50	0.50	NUM
easat-4929	413	23	.	.	PUNCT
easat-4929	414	1	however	however	ADV
easat-4929	414	2	,	,	PUNCT
easat-4929	414	3	the	the	DET
easat-4929	414	4	optimization	optimization	NOUN
easat-4929	414	5	did	do	AUX
easat-4929	414	6	not	not	PART
easat-4929	414	7	improve	improve	VERB
easat-4929	414	8	the	the	DET
easat-4929	414	9	auc	auc	NOUN
easat-4929	414	10	score	score	NOUN
easat-4929	414	11	,	,	PUNCT
easat-4929	414	12	as	as	SCONJ
easat-4929	414	13	the	the	DET
easat-4929	414	14	difference	difference	NOUN
easat-4929	414	15	was	be	AUX
easat-4929	414	16	negative	negative	ADJ
easat-4929	414	17	(	(	PUNCT
easat-4929	414	18	-0.003	-0.003	NUM
easat-4929	414	19	)	)	PUNCT
easat-4929	414	20	.	.	PUNCT
easat-4929	415	1	this	this	PRON
easat-4929	415	2	suggests	suggest	VERB
easat-4929	415	3	that	that	SCONJ
easat-4929	415	4	the	the	DET
easat-4929	415	5	optimization	optimization	NOUN
easat-4929	415	6	parameters	parameter	NOUN
easat-4929	415	7	may	may	AUX
easat-4929	415	8	not	not	PART
easat-4929	415	9	have	have	AUX
easat-4929	415	10	been	be	AUX
easat-4929	415	11	effective	effective	ADJ
easat-4929	415	12	or	or	CCONJ
easat-4929	415	13	the	the	DET
easat-4929	415	14	dataset	dataset	NOUN
easat-4929	415	15	's	's	PART
easat-4929	415	16	size	size	NOUN
easat-4929	415	17	and	and	CCONJ
easat-4929	415	18	features	feature	NOUN
easat-4929	415	19	may	may	AUX
easat-4929	415	20	limit	limit	VERB
easat-4929	415	21	model	model	NOUN
easat-4929	415	22	performance	performance	NOUN
easat-4929	415	23	.	.	PUNCT
easat-4929	416	1	then	then	ADV
easat-4929	416	2	we	we	PRON
easat-4929	416	3	tried	try	VERB
easat-4929	416	4	any	any	DET
easat-4929	416	5	other	other	ADJ
easat-4929	416	6	optimization	optimization	NOUN
easat-4929	416	7	parameter	parameter	NOUN
easat-4929	416	8	,	,	PUNCT
easat-4929	416	9	a	a	DET
easat-4929	416	10	more	more	ADV
easat-4929	416	11	extensive	extensive	ADJ
easat-4929	416	12	parameter	parameter	NOUN
easat-4929	416	13	grid	grid	NOUN
easat-4929	416	14	with	with	ADP
easat-4929	416	15	different	different	ADJ
easat-4929	416	16	kernels	kernel	NOUN
easat-4929	416	17	and	and	CCONJ
easat-4929	416	18	a	a	DET
easat-4929	416	19	wider	wide	ADJ
easat-4929	416	20	range	range	NOUN
easat-4929	416	21	of	of	ADP
easat-4929	416	22	hyperparameters	hyperparameter	NOUN
easat-4929	416	23	.	.	PUNCT
easat-4929	417	1	performance	performance	NOUN
easat-4929	417	2	comparison	comparison	NOUN
easat-4929	417	3	:	:	PUNCT
easat-4929	417	4	•	•	NUM
easat-4929	417	5	base	base	NOUN
easat-4929	417	6	svm	svm	NOUN
easat-4929	417	7	auc	auc	NOUN
easat-4929	417	8	:	:	PUNCT
easat-4929	417	9	0.51	0.51	NUM
easat-4929	417	10	•	•	NOUN
easat-4929	417	11	previous	previous	ADJ
easat-4929	417	12	optimized	optimize	VERB
easat-4929	417	13	auc	auc	NOUN
easat-4929	417	14	:	:	PUNCT
easat-4929	417	15	0.50	0.50	NUM
easat-4929	417	16	•	•	NOUN
easat-4929	417	17	new	new	ADJ
easat-4929	417	18	optimized	optimize	VERB
easat-4929	417	19	auc	auc	NOUN
easat-4929	417	20	:	:	PUNCT
easat-4929	417	21	0.547	0.547	NUM
easat-4929	417	22	the	the	DET
easat-4929	417	23	top	top	ADJ
easat-4929	417	24	3	3	NUM
easat-4929	417	25	parameter	parameter	NOUN
easat-4929	417	26	combinations	combination	NOUN
easat-4929	417	27	all	all	PRON
easat-4929	417	28	achieved	achieve	VERB
easat-4929	417	29	the	the	DET
easat-4929	417	30	same	same	ADJ
easat-4929	417	31	mean	mean	NOUN
easat-4929	417	32	cv	cv	NOUN
easat-4929	417	33	score	score	NOUN
easat-4929	417	34	of	of	ADP
easat-4929	417	35	0.668	0.668	NUM
easat-4929	417	36	,	,	PUNCT
easat-4929	417	37	with	with	ADP
easat-4929	417	38	slight	slight	ADJ
easat-4929	417	39	variations	variation	NOUN
easat-4929	417	40	in	in	ADP
easat-4929	417	41	the	the	DET
easat-4929	417	42	parameters	parameter	NOUN
easat-4929	417	43	:	:	PUNCT
easat-4929	417	44	the	the	DET
easat-4929	417	45	key	key	ADJ
easat-4929	417	46	improvements	improvement	NOUN
easat-4929	417	47	came	come	VERB
easat-4929	417	48	from	from	ADP
easat-4929	417	49	:	:	PUNCT
easat-4929	417	50	•	•	ADP
easat-4929	417	51	using	use	VERB
easat-4929	417	52	the	the	DET
easat-4929	417	53	sigmoid	sigmoid	NOUN
easat-4929	417	54	kernel	kernel	PROPN
easat-4929	417	55	instead	instead	ADV
easat-4929	417	56	of	of	ADP
easat-4929	417	57	rbf	rbf	PROPN
easat-4929	417	58	•	•	NOUN
easat-4929	417	59	setting	set	VERB
easat-4929	417	60	gamma	gamma	NOUN
easat-4929	417	61	to	to	ADP
easat-4929	417	62	0.01	0.01	NUM
easat-4929	417	63	•	•	NOUN
easat-4929	417	64	using	use	VERB
easat-4929	417	65	c=1	c=1	NOUN
easat-4929	417	66	without	without	ADP
easat-4929	417	67	class	class	NOUN
easat-4929	417	68	weights	weight	NOUN
easat-4929	417	69	•	•	ADP
easat-4929	417	70	the	the	DET
easat-4929	417	71	degree	degree	NOUN
easat-4929	417	72	parameter	parameter	NOUN
easat-4929	417	73	did	do	AUX
easat-4929	417	74	n't	not	PART
easat-4929	417	75	significantly	significantly	ADV
easat-4929	417	76	impact	impact	VERB
easat-4929	417	77	performance	performance	NOUN
easat-4929	417	78	for	for	ADP
easat-4929	417	79	the	the	DET
easat-4929	417	80	sigmoid	sigmoid	NOUN
easat-4929	417	81	kernel	kernel	NOUN
easat-4929	417	82	also	also	ADV
easat-4929	417	83	,	,	PUNCT
easat-4929	417	84	we	we	PRON
easat-4929	417	85	tried	try	VERB
easat-4929	417	86	based	base	VERB
easat-4929	417	87	on	on	ADP
easat-4929	417	88	this	this	DET
easat-4929	417	89	data	datum	NOUN
easat-4929	417	90	the	the	DET
easat-4929	417	91	rnn	rnn	NOUN
easat-4929	417	92	optimized	optimize	VERB
easat-4929	417	93	and	and	CCONJ
easat-4929	417	94	not	not	PART
easat-4929	417	95	optimized	optimize	VERB
easat-4929	417	96	to	to	PART
easat-4929	417	97	compare	compare	VERB
easat-4929	417	98	auc	auc	NOUN
easat-4929	417	99	scores	score	NOUN
easat-4929	417	100	.	.	PUNCT
easat-4929	418	1	1820	1820	NUM
easat-4929	418	2	edelweiss	edelweiss	PROPN
easat-4929	418	3	applied	apply	VERB
easat-4929	418	4	science	science	NOUN
easat-4929	418	5	and	and	CCONJ
easat-4929	418	6	technology	technology	NOUN
easat-4929	418	7	issn	issn	PROPN
easat-4929	418	8	:	:	PUNCT
easat-4929	418	9	2576	2576	NUM
easat-4929	418	10	-	-	SYM
easat-4929	418	11	8484	8484	NUM
easat-4929	418	12	vol	vol	NOUN
easat-4929	418	13	.	.	PROPN
easat-4929	419	1	9	9	NUM
easat-4929	419	2	,	,	PUNCT
easat-4929	419	3	no	no	INTJ
easat-4929	419	4	.	.	NOUN
easat-4929	419	5	2	2	NUM
easat-4929	419	6	:	:	SYM
easat-4929	419	7	1803	1803	NUM
easat-4929	419	8	-	-	SYM
easat-4929	419	9	1829	1829	NUM
easat-4929	419	10	,	,	PUNCT
easat-4929	419	11	2025	2025	NUM
easat-4929	419	12	doi	doi	NOUN
easat-4929	419	13	:	:	PUNCT
easat-4929	419	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	419	15	©	©	PROPN
easat-4929	419	16	2025	2025	NUM
easat-4929	419	17	by	by	ADP
easat-4929	419	18	the	the	DET
easat-4929	419	19	authors	author	NOUN
easat-4929	419	20	;	;	PUNCT
easat-4929	419	21	licensee	licensee	PROPN
easat-4929	419	22	learning	learning	NOUN
easat-4929	419	23	gate	gate	VERB
easat-4929	419	24	the	the	DET
easat-4929	419	25	auc	auc	NOUN
easat-4929	419	26	scores	score	NOUN
easat-4929	419	27	for	for	ADP
easat-4929	419	28	both	both	CCONJ
easat-4929	419	29	the	the	DET
easat-4929	419	30	basic	basic	ADJ
easat-4929	419	31	and	and	CCONJ
easat-4929	419	32	optimized	optimize	VERB
easat-4929	419	33	rnn	rnn	NOUN
easat-4929	419	34	models	model	NOUN
easat-4929	419	35	have	have	AUX
easat-4929	419	36	been	be	AUX
easat-4929	419	37	successfully	successfully	ADV
easat-4929	419	38	calculated	calculate	VERB
easat-4929	419	39	,	,	PUNCT
easat-4929	419	40	showing	show	VERB
easat-4929	419	41	a	a	DET
easat-4929	419	42	slight	slight	ADJ
easat-4929	419	43	improvement	improvement	NOUN
easat-4929	419	44	in	in	ADP
easat-4929	419	45	the	the	DET
easat-4929	419	46	optimized	optimize	VERB
easat-4929	419	47	model	model	NOUN
easat-4929	419	48	's	's	PART
easat-4929	419	49	performance	performance	NOUN
easat-4929	419	50	.	.	PUNCT
easat-4929	420	1	basic	basic	ADJ
easat-4929	420	2	rnn	rnn	NOUN
easat-4929	420	3	model	model	NOUN
easat-4929	420	4	auc	auc	PROPN
easat-4929	420	5	score	score	NOUN
easat-4929	420	6	:	:	PUNCT
easat-4929	420	7	0.66	0.66	NUM
easat-4929	420	8	optimized	optimize	VERB
easat-4929	420	9	rnn	rnn	NOUN
easat-4929	420	10	model	model	NOUN
easat-4929	420	11	auc	auc	NOUN
easat-4929	420	12	score	score	NOUN
easat-4929	420	13	:	:	PUNCT
easat-4929	420	14	0.665	0.665	NUM
easat-4929	420	15	improvement	improvement	NOUN
easat-4929	420	16	:	:	PUNCT
easat-4929	420	17	0.6657	0.6657	NUM
easat-4929	420	18	%	%	NOUN
easat-4929	420	19	(	(	PUNCT
easat-4929	420	20	see	see	VERB
easat-4929	420	21	figure	figure	NOUN
easat-4929	420	22	8)	8)	NUM
easat-4929	420	23	figure	figure	NOUN
easat-4929	420	24	8	8	NUM
easat-4929	420	25	.	.	PUNCT
easat-4929	421	1	auc	auc	NOUN
easat-4929	421	2	scores	score	NOUN
easat-4929	421	3	comparison	comparison	NOUN
easat-4929	421	4	for	for	ADP
easat-4929	421	5	basic	basic	ADJ
easat-4929	421	6	and	and	CCONJ
easat-4929	421	7	optimized	optimize	VERB
easat-4929	421	8	for	for	ADP
easat-4929	421	9	rnn	rnn	NOUN
easat-4929	421	10	.	.	PUNCT
easat-4929	422	1	we	we	PRON
easat-4929	422	2	explained	explain	VERB
easat-4929	422	3	the	the	DET
easat-4929	422	4	reason	reason	NOUN
easat-4929	422	5	why	why	SCONJ
easat-4929	422	6	we	we	PRON
easat-4929	422	7	used	use	VERB
easat-4929	422	8	the	the	DET
easat-4929	422	9	auc	auc	ADJ
easat-4929	422	10	score	score	NOUN
easat-4929	422	11	and	and	CCONJ
easat-4929	422	12	the	the	DET
easat-4929	422	13	study	study	NOUN
easat-4929	422	14	referred	refer	VERB
easat-4929	422	15	to	to	ADP
easat-4929	422	16	this	this	DET
easat-4929	422	17	method	method	NOUN
easat-4929	422	18	.	.	PUNCT
easat-4929	423	1	in	in	ADP
easat-4929	423	2	order	order	NOUN
easat-4929	423	3	not	not	PART
easat-4929	423	4	to	to	PART
easat-4929	423	5	overlook	overlook	VERB
easat-4929	423	6	and	and	CCONJ
easat-4929	423	7	to	to	PART
easat-4929	423	8	be	be	AUX
easat-4929	423	9	sure	sure	ADJ
easat-4929	423	10	of	of	ADP
easat-4929	423	11	what	what	PRON
easat-4929	423	12	we	we	PRON
easat-4929	423	13	analyzed	analyze	VERB
easat-4929	423	14	,	,	PUNCT
easat-4929	423	15	we	we	PRON
easat-4929	423	16	also	also	ADV
easat-4929	423	17	operated	operate	VERB
easat-4929	423	18	based	base	VERB
easat-4929	423	19	on	on	ADP
easat-4929	423	20	the	the	DET
easat-4929	423	21	mse	mse	PROPN
easat-4929	423	22	and	and	CCONJ
easat-4929	423	23	r2	r2	PROPN
easat-4929	423	24	score	score	NOUN
easat-4929	423	25	.	.	PUNCT
easat-4929	424	1	all	all	DET
easat-4929	424	2	this	this	PRON
easat-4929	424	3	to	to	PART
easat-4929	424	4	prove	prove	VERB
easat-4929	424	5	that	that	SCONJ
easat-4929	424	6	our	our	PRON
easat-4929	424	7	results	result	NOUN
easat-4929	424	8	based	base	VERB
easat-4929	424	9	on	on	ADP
easat-4929	424	10	auc	auc	NOUN
easat-4929	424	11	were	be	AUX
easat-4929	424	12	well	well	ADV
easat-4929	424	13	-	-	PUNCT
easat-4929	424	14	argued	argue	VERB
easat-4929	424	15	.	.	PUNCT
easat-4929	425	1	after	after	ADP
easat-4929	425	2	this	this	DET
easat-4929	425	3	analysis	analysis	NOUN
easat-4929	425	4	we	we	PRON
easat-4929	425	5	tried	try	VERB
easat-4929	425	6	both	both	DET
easat-4929	425	7	the	the	DET
easat-4929	425	8	tasks	task	NOUN
easat-4929	425	9	classification	classification	NOUN
easat-4929	425	10	and	and	CCONJ
easat-4929	425	11	regression	regression	NOUN
easat-4929	425	12	,	,	PUNCT
easat-4929	425	13	predict	predict	VERB
easat-4929	425	14	the	the	DET
easat-4929	425	15	chance	chance	NOUN
easat-4929	425	16	of	of	ADP
easat-4929	425	17	30	30	NUM
easat-4929	425	18	-	-	PUNCT
easat-4929	425	19	day	day	NOUN
easat-4929	425	20	readmissions	readmission	NOUN
easat-4929	425	21	,	,	PUNCT
easat-4929	425	22	based	base	VERB
easat-4929	425	23	on	on	ADP
easat-4929	425	24	mse	mse	NOUN
easat-4929	425	25	and	and	CCONJ
easat-4929	425	26	r2	r2	PROPN
easat-4929	425	27	scores	score	NOUN
easat-4929	425	28	(	(	PUNCT
easat-4929	425	29	figure	figure	NOUN
easat-4929	425	30	9	9	NUM
easat-4929	425	31	)	)	PUNCT
easat-4929	425	32	.	.	PUNCT
easat-4929	426	1	the	the	DET
easat-4929	426	2	results	result	NOUN
easat-4929	426	3	show	show	VERB
easat-4929	426	4	that	that	SCONJ
easat-4929	426	5	the	the	DET
easat-4929	426	6	basic	basic	ADJ
easat-4929	426	7	model	model	NOUN
easat-4929	426	8	overfits	overfit	NOUN
easat-4929	426	9	significantly	significantly	ADV
easat-4929	426	10	,	,	PUNCT
easat-4929	426	11	with	with	ADP
easat-4929	426	12	a	a	DET
easat-4929	426	13	large	large	ADJ
easat-4929	426	14	gap	gap	NOUN
easat-4929	426	15	between	between	ADP
easat-4929	426	16	training	training	NOUN
easat-4929	426	17	and	and	CCONJ
easat-4929	426	18	test	test	NOUN
easat-4929	426	19	r²	r²	NOUN
easat-4929	426	20	scores	score	NOUN
easat-4929	426	21	,	,	PUNCT
easat-4929	426	22	while	while	SCONJ
easat-4929	426	23	the	the	DET
easat-4929	426	24	optimized	optimize	VERB
easat-4929	426	25	model	model	NOUN
easat-4929	426	26	reduces	reduce	VERB
easat-4929	426	27	overfitting	overfitte	VERB
easat-4929	426	28	and	and	CCONJ
easat-4929	426	29	achieves	achieve	VERB
easat-4929	426	30	more	more	ADV
easat-4929	426	31	balanced	balanced	ADJ
easat-4929	426	32	performance	performance	NOUN
easat-4929	426	33	.	.	PUNCT
easat-4929	427	1	here	here	ADV
easat-4929	427	2	are	be	AUX
easat-4929	427	3	the	the	DET
easat-4929	427	4	detailed	detailed	ADJ
easat-4929	427	5	results	result	NOUN
easat-4929	427	6	and	and	CCONJ
easat-4929	427	7	visual	visual	ADJ
easat-4929	427	8	comparisons	comparison	NOUN
easat-4929	427	9	:	:	PUNCT
easat-4929	427	10	model	model	NOUN
easat-4929	427	11	comparison	comparison	NOUN
easat-4929	427	12	results	result	VERB
easat-4929	427	13	:	:	PUNCT
easat-4929	427	14	basic	basic	ADJ
easat-4929	427	15	model	model	NOUN
easat-4929	427	16	training	training	NOUN
easat-4929	427	17	r2	r2	NOUN
easat-4929	427	18	:	:	PUNCT
easat-4929	427	19	0.7999	0.7999	NUM
easat-4929	427	20	test	test	NOUN
easat-4929	427	21	r2	r2	NOUN
easat-4929	427	22	:	:	PUNCT
easat-4929	427	23	-0.1248	-0.1248	VERB
easat-4929	427	24	training	train	VERB
easat-4929	427	25	mse	mse	NOUN
easat-4929	427	26	:	:	PUNCT
easat-4929	427	27	0.0198	0.0198	NUM
easat-4929	427	28	test	test	NOUN
easat-4929	427	29	mse	mse	NOUN
easat-4929	427	30	:	:	PUNCT
easat-4929	427	31	0.1121	0.1121	NUM
easat-4929	427	32	overfitting	overfitte	VERB
easat-4929	427	33	gap	gap	NOUN
easat-4929	427	34	(	(	PUNCT
easat-4929	427	35	r2	r2	PROPN
easat-4929	427	36	):	):	PUNCT
easat-4929	427	37	0.9247	0.9247	NUM
easat-4929	427	38	optimized	optimize	VERB
easat-4929	427	39	model	model	NOUN
easat-4929	427	40	:	:	PUNCT
easat-4929	427	41	training	training	NOUN
easat-4929	427	42	r2	r2	NOUN
easat-4929	427	43	:	:	PUNCT
easat-4929	427	44	0.0730	0.0730	NUM
easat-4929	427	45	test	test	NOUN
easat-4929	427	46	r2	r2	NOUN
easat-4929	427	47	:	:	PUNCT
easat-4929	427	48	0.0269	0.0269	NUM
easat-4929	427	49	training	training	NOUN
easat-4929	427	50	mse	mse	NOUN
easat-4929	427	51	:	:	PUNCT
easat-4929	427	52	0.0918	0.0918	NUM
easat-4929	427	53	test	test	NOUN
easat-4929	427	54	mse	mse	NOUN
easat-4929	427	55	:	:	PUNCT
easat-4929	427	56	0.0970	0.0970	NUM
easat-4929	427	57	overfitting	overfitte	VERB
easat-4929	427	58	gap	gap	NOUN
easat-4929	427	59	(	(	PUNCT
easat-4929	427	60	r2	r2	PROPN
easat-4929	427	61	):	):	PUNCT
easat-4929	427	62	0.0461	0.0461	NUM
easat-4929	427	63	1821	1821	NUM
easat-4929	427	64	edelweiss	edelweiss	PROPN
easat-4929	427	65	applied	apply	VERB
easat-4929	427	66	science	science	NOUN
easat-4929	427	67	and	and	CCONJ
easat-4929	427	68	technology	technology	NOUN
easat-4929	427	69	issn	issn	PROPN
easat-4929	427	70	:	:	PUNCT
easat-4929	427	71	2576	2576	NUM
easat-4929	427	72	-	-	SYM
easat-4929	427	73	8484	8484	NUM
easat-4929	427	74	vol	vol	NOUN
easat-4929	427	75	.	.	PROPN
easat-4929	428	1	9	9	NUM
easat-4929	428	2	,	,	PUNCT
easat-4929	428	3	no	no	INTJ
easat-4929	428	4	.	.	NOUN
easat-4929	428	5	2	2	NUM
easat-4929	428	6	:	:	SYM
easat-4929	428	7	1803	1803	NUM
easat-4929	428	8	-	-	SYM
easat-4929	428	9	1829	1829	NUM
easat-4929	428	10	,	,	PUNCT
easat-4929	428	11	2025	2025	NUM
easat-4929	428	12	doi	doi	NOUN
easat-4929	428	13	:	:	PUNCT
easat-4929	428	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	428	15	©	©	PROPN
easat-4929	428	16	2025	2025	NUM
easat-4929	428	17	by	by	ADP
easat-4929	428	18	the	the	DET
easat-4929	428	19	authors	author	NOUN
easat-4929	428	20	;	;	PUNCT
easat-4929	428	21	licensee	licensee	PROPN
easat-4929	428	22	learning	learn	VERB
easat-4929	428	23	gate	gate	NOUN
easat-4929	428	24	figure	figure	NOUN
easat-4929	428	25	9	9	NUM
easat-4929	428	26	.	.	PUNCT
easat-4929	428	27	feature	feature	NOUN
easat-4929	428	28	importance	importance	NOUN
easat-4929	428	29	and	and	CCONJ
easat-4929	428	30	performance	performance	NOUN
easat-4929	428	31	comparisons	comparison	NOUN
easat-4929	428	32	based	base	VERB
easat-4929	428	33	on	on	ADP
easat-4929	428	34	mse	mse	NOUN
easat-4929	428	35	and	and	CCONJ
easat-4929	428	36	r2	r2	PROPN
easat-4929	428	37	scores	score	NOUN
easat-4929	428	38	.	.	PUNCT
easat-4929	429	1	in	in	ADP
easat-4929	429	2	the	the	DET
easat-4929	429	3	process	process	NOUN
easat-4929	429	4	of	of	ADP
easat-4929	429	5	selection	selection	NOUN
easat-4929	429	6	for	for	ADP
easat-4929	429	7	optimization	optimization	NOUN
easat-4929	429	8	based	base	VERB
easat-4929	429	9	on	on	ADP
easat-4929	429	10	the	the	DET
easat-4929	429	11	baseline	baseline	ADJ
easat-4929	429	12	auc	auc	NOUN
easat-4929	429	13	scores	score	NOUN
easat-4929	429	14	,	,	PUNCT
easat-4929	429	15	models	model	NOUN
easat-4929	429	16	such	such	ADJ
easat-4929	429	17	as	as	ADP
easat-4929	429	18	sgd	sgd	PROPN
easat-4929	429	19	,	,	PUNCT
easat-4929	429	20	gb	gb	NOUN
easat-4929	429	21	,	,	PUNCT
easat-4929	429	22	and	and	CCONJ
easat-4929	429	23	xgb	xgb	NOUN
easat-4929	429	24	were	be	AUX
easat-4929	429	25	selected	select	VERB
easat-4929	429	26	for	for	ADP
easat-4929	429	27	further	further	ADJ
easat-4929	429	28	optimization	optimization	NOUN
easat-4929	429	29	.	.	PUNCT
easat-4929	430	1	these	these	DET
easat-4929	430	2	models	model	NOUN
easat-4929	430	3	were	be	AUX
easat-4929	430	4	selected	select	VERB
easat-4929	430	5	due	due	ADP
easat-4929	430	6	to	to	ADP
easat-4929	430	7	their	their	PRON
easat-4929	430	8	strong	strong	ADJ
easat-4929	430	9	1822	1822	NUM
easat-4929	430	10	edelweiss	edelweiss	PROPN
easat-4929	430	11	applied	apply	VERB
easat-4929	430	12	science	science	NOUN
easat-4929	430	13	and	and	CCONJ
easat-4929	430	14	technology	technology	NOUN
easat-4929	430	15	issn	issn	PROPN
easat-4929	430	16	:	:	PUNCT
easat-4929	430	17	2576	2576	NUM
easat-4929	430	18	-	-	SYM
easat-4929	430	19	8484	8484	NUM
easat-4929	430	20	vol	vol	NOUN
easat-4929	430	21	.	.	PROPN
easat-4929	431	1	9	9	NUM
easat-4929	431	2	,	,	PUNCT
easat-4929	431	3	no	no	INTJ
easat-4929	431	4	.	.	NOUN
easat-4929	431	5	2	2	NUM
easat-4929	431	6	:	:	SYM
easat-4929	431	7	1803	1803	NUM
easat-4929	431	8	-	-	SYM
easat-4929	431	9	1829	1829	NUM
easat-4929	431	10	,	,	PUNCT
easat-4929	431	11	2025	2025	NUM
easat-4929	431	12	doi	doi	NOUN
easat-4929	431	13	:	:	PUNCT
easat-4929	431	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	431	15	©	©	PROPN
easat-4929	431	16	2025	2025	NUM
easat-4929	431	17	by	by	ADP
easat-4929	431	18	the	the	DET
easat-4929	431	19	authors	author	NOUN
easat-4929	431	20	;	;	PUNCT
easat-4929	432	1	licensee	licensee	PROPN
easat-4929	432	2	learning	learning	NOUN
easat-4929	432	3	gate	gate	NOUN
easat-4929	432	4	performance	performance	NOUN
easat-4929	432	5	and	and	CCONJ
easat-4929	432	6	potential	potential	NOUN
easat-4929	432	7	to	to	PART
easat-4929	432	8	balance	balance	VERB
easat-4929	432	9	complexity	complexity	NOUN
easat-4929	432	10	with	with	ADP
easat-4929	432	11	generalization	generalization	NOUN
easat-4929	432	12	,	,	PUNCT
easat-4929	432	13	making	make	VERB
easat-4929	432	14	them	they	PRON
easat-4929	432	15	suitable	suitable	ADJ
easat-4929	432	16	for	for	ADP
easat-4929	432	17	optimizing	optimize	VERB
easat-4929	432	18	the	the	DET
easat-4929	432	19	prediction	prediction	NOUN
easat-4929	432	20	of	of	ADP
easat-4929	432	21	hospital	hospital	NOUN
easat-4929	432	22	readmissions	readmission	NOUN
easat-4929	432	23	.	.	PUNCT
easat-4929	433	1	logistic	logistic	ADJ
easat-4929	433	2	regression	regression	NOUN
easat-4929	433	3	was	be	AUX
easat-4929	433	4	not	not	PART
easat-4929	433	5	chosen	choose	VERB
easat-4929	433	6	for	for	ADP
easat-4929	433	7	further	further	ADJ
easat-4929	433	8	tuning	tuning	NOUN
easat-4929	433	9	because	because	SCONJ
easat-4929	433	10	of	of	ADP
easat-4929	433	11	its	its	PRON
easat-4929	433	12	lower	low	ADJ
easat-4929	433	13	performance	performance	NOUN
easat-4929	433	14	,	,	PUNCT
easat-4929	433	15	suggesting	suggest	VERB
easat-4929	433	16	it	it	PRON
easat-4929	433	17	may	may	AUX
easat-4929	433	18	not	not	PART
easat-4929	433	19	capture	capture	VERB
easat-4929	433	20	the	the	DET
easat-4929	433	21	data	datum	NOUN
easat-4929	433	22	's	's	PART
easat-4929	433	23	complexity	complexity	NOUN
easat-4929	433	24	.	.	PUNCT
easat-4929	434	1	decision	decision	NOUN
easat-4929	434	2	trees	tree	NOUN
easat-4929	434	3	were	be	AUX
easat-4929	434	4	excluded	exclude	VERB
easat-4929	434	5	from	from	ADP
easat-4929	434	6	further	further	ADJ
easat-4929	434	7	tuning	tuning	NOUN
easat-4929	434	8	due	due	ADJ
easat-4929	434	9	to	to	ADP
easat-4929	434	10	severe	severe	ADJ
easat-4929	434	11	overfitting	overfitting	NOUN
easat-4929	434	12	,	,	PUNCT
easat-4929	434	13	as	as	SCONJ
easat-4929	434	14	indicated	indicate	VERB
easat-4929	434	15	by	by	ADP
easat-4929	434	16	the	the	DET
easat-4929	434	17	validation	validation	NOUN
easat-4929	434	18	auc	auc	NOUN
easat-4929	434	19	scores	score	NOUN
easat-4929	434	20	,	,	PUNCT
easat-4929	434	21	making	make	VERB
easat-4929	434	22	it	it	PRON
easat-4929	434	23	less	less	ADV
easat-4929	434	24	effective	effective	ADJ
easat-4929	434	25	for	for	ADP
easat-4929	434	26	this	this	DET
easat-4929	434	27	task	task	NOUN
easat-4929	434	28	without	without	ADP
easat-4929	434	29	ensemble	ensemble	ADJ
easat-4929	434	30	methods	method	NOUN
easat-4929	434	31	.	.	PUNCT
easat-4929	435	1	svm	svm	PROPN
easat-4929	435	2	even	even	ADV
easat-4929	435	3	optimized	optimize	VERB
easat-4929	435	4	the	the	DET
easat-4929	435	5	auc	auc	NOUN
easat-4929	435	6	scores	score	NOUN
easat-4929	435	7	it	it	PRON
easat-4929	435	8	was	be	AUX
easat-4929	435	9	in	in	ADP
easat-4929	435	10	range	range	NOUN
easat-4929	435	11	of	of	ADP
easat-4929	435	12	0.547	0.547	NUM
easat-4929	435	13	.	.	PUNCT
easat-4929	436	1	rnn	rnn	VERB
easat-4929	436	2	basic	basic	ADJ
easat-4929	436	3	(	(	PUNCT
easat-4929	436	4	great	great	ADJ
easat-4929	436	5	overfitting	overfitting	NOUN
easat-4929	436	6	0.02	0.02	NUM
easat-4929	436	7	and	and	CCONJ
easat-4929	436	8	0.1	0.1	NUM
easat-4929	436	9	)	)	PUNCT
easat-4929	436	10	and	and	CCONJ
easat-4929	436	11	optimized	optimize	VERB
easat-4929	436	12	was	be	AUX
easat-4929	436	13	in	in	ADP
easat-4929	436	14	range	range	NOUN
easat-4929	436	15	of	of	ADP
easat-4929	436	16	0.66	0.66	NUM
easat-4929	436	17	auc	auc	NOUN
easat-4929	436	18	scores	score	NOUN
easat-4929	436	19	,	,	PUNCT
easat-4929	436	20	and	and	CCONJ
easat-4929	436	21	0.09	0.09	NUM
easat-4929	436	22	ranges	range	NOUN
easat-4929	436	23	for	for	ADP
easat-4929	436	24	mse	mse	NOUN
easat-4929	436	25	.	.	PUNCT
easat-4929	437	1	while	while	SCONJ
easat-4929	437	2	with	with	ADP
easat-4929	437	3	r2	r2	PROPN
easat-4929	437	4	scores	score	NOUN
easat-4929	437	5	are	be	AUX
easat-4929	437	6	0.07	0.07	NUM
easat-4929	437	7	and	and	CCONJ
easat-4929	437	8	0.02	0.02	NUM
easat-4929	437	9	optimized	optimize	VERB
easat-4929	437	10	and	and	CCONJ
easat-4929	437	11	0.8	0.8	NUM
easat-4929	437	12	and	and	CCONJ
easat-4929	437	13	-0.1	-0.1	PROPN
easat-4929	437	14	for	for	ADP
easat-4929	437	15	basic	basic	ADJ
easat-4929	437	16	(	(	PUNCT
easat-4929	437	17	great	great	ADJ
easat-4929	437	18	overfitting	overfitting	NOUN
easat-4929	437	19	)	)	PUNCT
easat-4929	437	20	the	the	DET
easat-4929	437	21	hyperparameter	hyperparameter	NOUN
easat-4929	437	22	tuning	tuning	NOUN
easat-4929	437	23	process	process	NOUN
easat-4929	437	24	was	be	AUX
easat-4929	437	25	conducted	conduct	VERB
easat-4929	437	26	using	use	VERB
easat-4929	437	27	randomized	randomized	ADJ
easat-4929	437	28	search	search	NOUN
easat-4929	437	29	cv	cv	NOUN
easat-4929	437	30	to	to	PART
easat-4929	437	31	optimize	optimize	VERB
easat-4929	437	32	the	the	DET
easat-4929	437	33	stochastic	stochastic	ADJ
easat-4929	437	34	gradient	gradient	ADJ
easat-4929	437	35	descent	descent	NOUN
easat-4929	437	36	,	,	PUNCT
easat-4929	437	37	xgboost	xgboost	ADV
easat-4929	437	38	,	,	PUNCT
easat-4929	437	39	and	and	CCONJ
easat-4929	437	40	gradient	gradient	NOUN
easat-4929	437	41	boosting	boost	VERB
easat-4929	437	42	classifier	classifier	NOUN
easat-4929	437	43	models	model	NOUN
easat-4929	437	44	.	.	PUNCT
easat-4929	438	1	this	this	DET
easat-4929	438	2	method	method	NOUN
easat-4929	438	3	was	be	AUX
easat-4929	438	4	chosen	choose	VERB
easat-4929	438	5	due	due	ADP
easat-4929	438	6	to	to	ADP
easat-4929	438	7	its	its	PRON
easat-4929	438	8	efficiency	efficiency	NOUN
easat-4929	438	9	in	in	ADP
easat-4929	438	10	searching	search	VERB
easat-4929	438	11	through	through	ADP
easat-4929	438	12	a	a	DET
easat-4929	438	13	wide	wide	ADJ
easat-4929	438	14	range	range	NOUN
easat-4929	438	15	of	of	ADP
easat-4929	438	16	hyperparameters	hyperparameter	NOUN
easat-4929	438	17	without	without	ADP
easat-4929	438	18	the	the	DET
easat-4929	438	19	computational	computational	ADJ
easat-4929	438	20	expense	expense	NOUN
easat-4929	438	21	of	of	ADP
easat-4929	438	22	exhaustive	exhaustive	ADJ
easat-4929	438	23	grid	grid	NOUN
easat-4929	438	24	search	search	NOUN
easat-4929	438	25	methods	method	NOUN
easat-4929	438	26	.	.	PUNCT
easat-4929	439	1	a	a	DET
easat-4929	439	2	parameter	parameter	NOUN
easat-4929	439	3	grid	grid	NOUN
easat-4929	439	4	was	be	AUX
easat-4929	439	5	defined	define	VERB
easat-4929	439	6	for	for	ADP
easat-4929	439	7	each	each	DET
easat-4929	439	8	model	model	NOUN
easat-4929	439	9	,	,	PUNCT
easat-4929	439	10	and	and	CCONJ
easat-4929	439	11	randomized	randomize	VERB
easat-4929	439	12	search	search	NOUN
easat-4929	439	13	cv	cv	PROPN
easat-4929	439	14	executed	execute	VERB
easat-4929	439	15	multiple	multiple	ADJ
easat-4929	439	16	iterations	iteration	NOUN
easat-4929	439	17	to	to	PART
easat-4929	439	18	identify	identify	VERB
easat-4929	439	19	the	the	DET
easat-4929	439	20	optimal	optimal	ADJ
easat-4929	439	21	set	set	NOUN
easat-4929	439	22	of	of	ADP
easat-4929	439	23	hyperparameters	hyperparameter	NOUN
easat-4929	439	24	.	.	PUNCT
easat-4929	440	1	the	the	DET
easat-4929	440	2	area	area	NOUN
easat-4929	440	3	under	under	ADP
easat-4929	440	4	the	the	DET
easat-4929	440	5	curve	curve	NOUN
easat-4929	440	6	(	(	PUNCT
easat-4929	440	7	auc	auc	NOUN
easat-4929	440	8	)	)	PUNCT
easat-4929	440	9	score	score	NOUN
easat-4929	440	10	was	be	AUX
easat-4929	440	11	the	the	DET
easat-4929	440	12	primary	primary	ADJ
easat-4929	440	13	metric	metric	NOUN
easat-4929	440	14	during	during	ADP
easat-4929	440	15	hyperparameter	hyperparameter	NOUN
easat-4929	440	16	tuning	tuning	NOUN
easat-4929	440	17	.	.	PUNCT
easat-4929	441	1	comparison	comparison	NOUN
easat-4929	441	2	with	with	ADP
easat-4929	441	3	baseline	baseline	NOUN
easat-4929	441	4	models	model	NOUN
easat-4929	441	5	it	it	PRON
easat-4929	441	6	's	be	AUX
easat-4929	441	7	important	important	ADJ
easat-4929	441	8	to	to	PART
easat-4929	441	9	consider	consider	VERB
easat-4929	441	10	the	the	DET
easat-4929	441	11	strengths	strength	NOUN
easat-4929	441	12	and	and	CCONJ
easat-4929	441	13	weaknesses	weakness	NOUN
easat-4929	441	14	of	of	ADP
easat-4929	441	15	each	each	DET
easat-4929	441	16	approach	approach	NOUN
easat-4929	441	17	.	.	PUNCT
easat-4929	442	1	in	in	ADP
easat-4929	442	2	the	the	DET
easat-4929	442	3	figure	figure	NOUN
easat-4929	442	4	10	10	NUM
easat-4929	442	5	we	we	PRON
easat-4929	442	6	can	can	AUX
easat-4929	442	7	see	see	VERB
easat-4929	442	8	that	that	SCONJ
easat-4929	442	9	optimized	optimize	VERB
easat-4929	442	10	models	model	NOUN
easat-4929	442	11	were	be	AUX
easat-4929	442	12	evaluated	evaluate	VERB
easat-4929	442	13	against	against	ADP
easat-4929	442	14	the	the	DET
easat-4929	442	15	baseline	baseline	NOUN
easat-4929	442	16	models	model	NOUN
easat-4929	442	17	,	,	PUNCT
easat-4929	442	18	using	use	VERB
easat-4929	442	19	auc	auc	NOUN
easat-4929	442	20	initially	initially	ADV
easat-4929	442	21	as	as	ADP
easat-4929	442	22	a	a	DET
easat-4929	442	23	metric	metric	NOUN
easat-4929	442	24	for	for	ADP
easat-4929	442	25	comparison	comparison	NOUN
easat-4929	442	26	.	.	PUNCT
easat-4929	443	1	after	after	ADP
easat-4929	443	2	optimization	optimization	NOUN
easat-4929	443	3	,	,	PUNCT
easat-4929	443	4	the	the	DET
easat-4929	443	5	sgd	sgd	PROPN
easat-4929	443	6	model	model	NOUN
easat-4929	443	7	showed	show	VERB
easat-4929	443	8	a	a	DET
easat-4929	443	9	slight	slight	ADJ
easat-4929	443	10	improvement	improvement	NOUN
easat-4929	443	11	in	in	ADP
easat-4929	443	12	validation	validation	NOUN
easat-4929	443	13	auc	auc	NOUN
easat-4929	443	14	,	,	PUNCT
easat-4929	443	15	suggesting	suggest	VERB
easat-4929	443	16	that	that	SCONJ
easat-4929	443	17	the	the	DET
easat-4929	443	18	tuning	tuning	NOUN
easat-4929	443	19	process	process	NOUN
easat-4929	443	20	helped	help	VERB
easat-4929	443	21	the	the	DET
easat-4929	443	22	model	model	NOUN
easat-4929	443	23	generalize	generalize	VERB
easat-4929	443	24	better	well	ADV
easat-4929	443	25	.	.	PUNCT
easat-4929	444	1	the	the	DET
easat-4929	444	2	best	good	ADJ
easat-4929	444	3	parameters	parameter	NOUN
easat-4929	444	4	for	for	ADP
easat-4929	444	5	sgd	sgd	PROPN
easat-4929	444	6	indicated	indicate	VERB
easat-4929	444	7	a	a	DET
easat-4929	444	8	combination	combination	NOUN
easat-4929	444	9	of	of	ADP
easat-4929	444	10	elastic	elastic	ADJ
easat-4929	444	11	net	net	ADJ
easat-4929	444	12	regularization	regularization	NOUN
easat-4929	444	13	and	and	CCONJ
easat-4929	444	14	optimal	optimal	ADJ
easat-4929	444	15	learning	learning	NOUN
easat-4929	444	16	rate	rate	NOUN
easat-4929	444	17	,	,	PUNCT
easat-4929	444	18	which	which	PRON
easat-4929	444	19	likely	likely	ADV
easat-4929	444	20	contributed	contribute	VERB
easat-4929	444	21	to	to	ADP
easat-4929	444	22	this	this	DET
easat-4929	444	23	improvement	improvement	NOUN
easat-4929	444	24	.	.	PUNCT
easat-4929	445	1	referring	refer	VERB
easat-4929	445	2	to	to	ADP
easat-4929	445	3	this	this	DET
easat-4929	445	4	comparison	comparison	NOUN
easat-4929	445	5	method	method	NOUN
easat-4929	445	6	,	,	PUNCT
easat-4929	445	7	baseline	baseline	ADJ
easat-4929	445	8	comparison	comparison	NOUN
easat-4929	445	9	,	,	PUNCT
easat-4929	445	10	and	and	CCONJ
easat-4929	445	11	the	the	DET
easat-4929	445	12	conclusion	conclusion	NOUN
easat-4929	445	13	obtained	obtain	VERB
easat-4929	445	14	from	from	ADP
easat-4929	445	15	rnn	rnn	NOUN
easat-4929	445	16	,	,	PUNCT
easat-4929	445	17	we	we	PRON
easat-4929	445	18	note	note	VERB
easat-4929	445	19	that	that	SCONJ
easat-4929	445	20	rnn	rnn	PROPN
easat-4929	445	21	has	have	VERB
easat-4929	445	22	the	the	DET
easat-4929	445	23	best	good	ADJ
easat-4929	445	24	performance	performance	NOUN
easat-4929	445	25	(	(	PUNCT
easat-4929	445	26	0.665	0.665	NUM
easat-4929	445	27	)	)	PUNCT
easat-4929	445	28	or	or	CCONJ
easat-4929	445	29	at	at	ADP
easat-4929	445	30	least	least	ADJ
easat-4929	445	31	comparable	comparable	ADJ
easat-4929	445	32	to	to	ADP
easat-4929	445	33	sdg	sdg	NOUN
easat-4929	445	34	.	.	PUNCT
easat-4929	446	1	we	we	PRON
easat-4929	446	2	should	should	AUX
easat-4929	446	3	emphasize	emphasize	VERB
easat-4929	446	4	that	that	SCONJ
easat-4929	446	5	unlike	unlike	ADP
easat-4929	446	6	other	other	ADJ
easat-4929	446	7	methods	method	NOUN
easat-4929	446	8	,	,	PUNCT
easat-4929	446	9	rnn	rnn	PROPN
easat-4929	446	10	has	have	VERB
easat-4929	446	11	performance	performance	NOUN
easat-4929	446	12	limitations	limitation	NOUN
easat-4929	446	13	due	due	ADP
easat-4929	446	14	to	to	ADP
easat-4929	446	15	the	the	DET
easat-4929	446	16	limitations	limitation	NOUN
easat-4929	446	17	of	of	ADP
easat-4929	446	18	the	the	DET
easat-4929	446	19	computer	computer	NOUN
easat-4929	446	20	architecture	architecture	NOUN
easat-4929	446	21	where	where	SCONJ
easat-4929	446	22	the	the	DET
easat-4929	446	23	code	code	NOUN
easat-4929	446	24	is	be	AUX
easat-4929	446	25	executed	execute	VERB
easat-4929	446	26	and	and	CCONJ
easat-4929	446	27	the	the	DET
easat-4929	446	28	data	datum	NOUN
easat-4929	446	29	is	be	AUX
easat-4929	446	30	trained	train	VERB
easat-4929	446	31	(	(	PUNCT
easat-4929	446	32	the	the	DET
easat-4929	446	33	number	number	NOUN
easat-4929	446	34	of	of	ADP
easat-4929	446	35	layers	layer	NOUN
easat-4929	446	36	affects	affect	VERB
easat-4929	446	37	the	the	DET
easat-4929	446	38	accuracy	accuracy	NOUN
easat-4929	446	39	of	of	ADP
easat-4929	446	40	the	the	DET
easat-4929	446	41	output	output	NOUN
easat-4929	446	42	[	[	X
easat-4929	446	43	28	28	NUM
easat-4929	446	44	]	]	NUM
easat-4929	446	45	)	)	PUNCT
easat-4929	446	46	.	.	PUNCT
easat-4929	447	1	the	the	DET
easat-4929	447	2	xgb	xgb	PROPN
easat-4929	447	3	model	model	NOUN
easat-4929	447	4	saw	see	VERB
easat-4929	447	5	a	a	DET
easat-4929	447	6	minor	minor	ADJ
easat-4929	447	7	increase	increase	NOUN
easat-4929	447	8	in	in	ADP
easat-4929	447	9	validation	validation	NOUN
easat-4929	447	10	auc	auc	NOUN
easat-4929	447	11	from	from	ADP
easat-4929	447	12	0.438	0.438	NUM
easat-4929	447	13	to	to	ADP
easat-4929	447	14	0.473	0.473	NUM
easat-4929	447	15	.	.	PUNCT
easat-4929	448	1	despite	despite	SCONJ
easat-4929	448	2	the	the	DET
easat-4929	448	3	adjustments	adjustment	NOUN
easat-4929	448	4	to	to	ADP
easat-4929	448	5	parameters	parameter	NOUN
easat-4929	448	6	like	like	ADP
easat-4929	448	7	learning	learn	VERB
easat-4929	448	8	rate	rate	NOUN
easat-4929	448	9	and	and	CCONJ
easat-4929	448	10	subsample	subsample	ADJ
easat-4929	448	11	ratio	ratio	NOUN
easat-4929	448	12	,	,	PUNCT
easat-4929	448	13	the	the	DET
easat-4929	448	14	model	model	NOUN
easat-4929	448	15	still	still	ADV
easat-4929	448	16	exhibited	exhibit	VERB
easat-4929	448	17	signs	sign	NOUN
easat-4929	448	18	of	of	ADP
easat-4929	448	19	overfitting	overfitte	VERB
easat-4929	448	20	,	,	PUNCT
easat-4929	448	21	possibly	possibly	ADV
easat-4929	448	22	due	due	ADP
easat-4929	448	23	to	to	ADP
easat-4929	448	24	its	its	PRON
easat-4929	448	25	inherent	inherent	ADJ
easat-4929	448	26	complexity	complexity	NOUN
easat-4929	448	27	.	.	PUNCT
easat-4929	449	1	gbc	gbc	PROPN
easat-4929	449	2	's	's	PART
easat-4929	449	3	performance	performance	NOUN
easat-4929	449	4	declined	decline	VERB
easat-4929	449	5	post	post	ADJ
easat-4929	449	6	-	-	NOUN
easat-4929	449	7	optimization	optimization	NOUN
easat-4929	449	8	,	,	PUNCT
easat-4929	449	9	with	with	ADP
easat-4929	449	10	the	the	DET
easat-4929	449	11	validation	validation	NOUN
easat-4929	449	12	auc	auc	NOUN
easat-4929	449	13	decreasing	decrease	VERB
easat-4929	449	14	from	from	ADP
easat-4929	449	15	0.498	0.498	NUM
easat-4929	449	16	to	to	ADP
easat-4929	449	17	0.444	0.444	NUM
easat-4929	449	18	.	.	PUNCT
easat-4929	450	1	this	this	DET
easat-4929	450	2	decline	decline	NOUN
easat-4929	450	3	suggests	suggest	VERB
easat-4929	450	4	that	that	SCONJ
easat-4929	450	5	the	the	DET
easat-4929	450	6	model	model	NOUN
easat-4929	450	7	might	might	AUX
easat-4929	450	8	have	have	AUX
easat-4929	450	9	become	become	VERB
easat-4929	450	10	too	too	ADV
easat-4929	450	11	complex	complex	ADJ
easat-4929	450	12	during	during	ADP
easat-4929	450	13	the	the	DET
easat-4929	450	14	tuning	tuning	NOUN
easat-4929	450	15	process	process	NOUN
easat-4929	450	16	or	or	CCONJ
easat-4929	450	17	that	that	SCONJ
easat-4929	450	18	the	the	DET
easat-4929	450	19	parameter	parameter	NOUN
easat-4929	450	20	grid	grid	NOUN
easat-4929	450	21	did	do	AUX
easat-4929	450	22	not	not	PART
easat-4929	450	23	effectively	effectively	ADV
easat-4929	450	24	capture	capture	VERB
easat-4929	450	25	the	the	DET
easat-4929	450	26	optimal	optimal	ADJ
easat-4929	450	27	settings	setting	NOUN
easat-4929	450	28	needed	need	VERB
easat-4929	450	29	to	to	PART
easat-4929	450	30	combat	combat	VERB
easat-4929	450	31	overfitting	overfitting	NOUN
easat-4929	450	32	.	.	PUNCT
easat-4929	451	1	even	even	ADV
easat-4929	451	2	after	after	ADP
easat-4929	451	3	applying	apply	VERB
easat-4929	451	4	early	early	ADJ
easat-4929	451	5	stopping	stop	VERB
easat-4929	451	6	and	and	CCONJ
easat-4929	451	7	adjusting	adjust	VERB
easat-4929	451	8	parameters	parameter	NOUN
easat-4929	451	9	,	,	PUNCT
easat-4929	451	10	the	the	DET
easat-4929	451	11	model	model	NOUN
easat-4929	451	12	did	do	AUX
easat-4929	451	13	not	not	PART
easat-4929	451	14	show	show	VERB
easat-4929	451	15	any	any	DET
easat-4929	451	16	further	further	ADJ
easat-4929	451	17	improvement	improvement	NOUN
easat-4929	451	18	.	.	PUNCT
easat-4929	452	1	1823	1823	NUM
easat-4929	452	2	edelweiss	edelweiss	PROPN
easat-4929	452	3	applied	apply	VERB
easat-4929	452	4	science	science	NOUN
easat-4929	452	5	and	and	CCONJ
easat-4929	452	6	technology	technology	NOUN
easat-4929	452	7	issn	issn	PROPN
easat-4929	452	8	:	:	PUNCT
easat-4929	452	9	2576	2576	NUM
easat-4929	452	10	-	-	SYM
easat-4929	452	11	8484	8484	NUM
easat-4929	452	12	vol	vol	NOUN
easat-4929	452	13	.	.	PROPN
easat-4929	453	1	9	9	NUM
easat-4929	453	2	,	,	PUNCT
easat-4929	453	3	no	no	INTJ
easat-4929	453	4	.	.	NOUN
easat-4929	453	5	2	2	NUM
easat-4929	453	6	:	:	SYM
easat-4929	453	7	1803	1803	NUM
easat-4929	453	8	-	-	SYM
easat-4929	453	9	1829	1829	NUM
easat-4929	453	10	,	,	PUNCT
easat-4929	453	11	2025	2025	NUM
easat-4929	453	12	doi	doi	NOUN
easat-4929	453	13	:	:	PUNCT
easat-4929	453	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	453	15	©	©	PROPN
easat-4929	453	16	2025	2025	NUM
easat-4929	453	17	by	by	ADP
easat-4929	453	18	the	the	DET
easat-4929	453	19	authors	author	NOUN
easat-4929	453	20	;	;	PUNCT
easat-4929	454	1	licensee	licensee	PROPN
easat-4929	454	2	learning	learn	VERB
easat-4929	454	3	gate	gate	PROPN
easat-4929	454	4	figure	figure	NOUN
easat-4929	454	5	10	10	NUM
easat-4929	454	6	.	.	PUNCT
easat-4929	454	7	baseline	baseline	NOUN
easat-4929	454	8	models	model	NOUN
easat-4929	454	9	vs	vs	ADP
easat-4929	454	10	optimized	optimize	VERB
easat-4929	454	11	models	model	NOUN
easat-4929	454	12	.	.	PUNCT
easat-4929	455	1	3.6.2	3.6.2	X
easat-4929	455	2	.	.	PUNCT
easat-4929	455	3	model	model	NOUN
easat-4929	455	4	evaluation	evaluation	NOUN
easat-4929	455	5	after	after	ADP
easat-4929	455	6	completing	complete	VERB
easat-4929	455	7	the	the	DET
easat-4929	455	8	hyperparameter	hyperparameter	NOUN
easat-4929	455	9	tuning	tuning	NOUN
easat-4929	455	10	process	process	NOUN
easat-4929	455	11	,	,	PUNCT
easat-4929	455	12	the	the	DET
easat-4929	455	13	stochastic	stochastic	ADJ
easat-4929	455	14	gradient	gradient	ADJ
easat-4929	455	15	descent	descent	NOUN
easat-4929	455	16	classifier	classifier	NOUN
easat-4929	455	17	was	be	AUX
easat-4929	455	18	the	the	DET
easat-4929	455	19	best	well	ADV
easat-4929	455	20	-	-	PUNCT
easat-4929	455	21	performing	perform	VERB
easat-4929	455	22	model	model	NOUN
easat-4929	455	23	based	base	VERB
easat-4929	455	24	on	on	ADP
easat-4929	455	25	auc	auc	NOUN
easat-4929	455	26	scores	score	NOUN
easat-4929	455	27	.	.	PUNCT
easat-4929	456	1	the	the	DET
easat-4929	456	2	final	final	ADJ
easat-4929	456	3	evaluation	evaluation	NOUN
easat-4929	456	4	was	be	AUX
easat-4929	456	5	conducted	conduct	VERB
easat-4929	456	6	on	on	ADP
easat-4929	456	7	the	the	DET
easat-4929	456	8	test	test	NOUN
easat-4929	456	9	data	datum	NOUN
easat-4929	456	10	using	use	VERB
easat-4929	456	11	this	this	DET
easat-4929	456	12	optimized	optimize	VERB
easat-4929	456	13	model	model	NOUN
easat-4929	456	14	.	.	PUNCT
easat-4929	457	1	it	it	PRON
easat-4929	457	2	is	be	AUX
easat-4929	457	3	important	important	ADJ
easat-4929	457	4	for	for	SCONJ
easat-4929	457	5	the	the	DET
easat-4929	457	6	model	model	NOUN
easat-4929	457	7	to	to	PART
easat-4929	457	8	be	be	AUX
easat-4929	457	9	evaluated	evaluate	VERB
easat-4929	457	10	on	on	ADP
easat-4929	457	11	test	test	NOUN
easat-4929	457	12	set	set	VERB
easat-4929	457	13	as	as	SCONJ
easat-4929	457	14	it	it	PRON
easat-4929	457	15	provides	provide	VERB
easat-4929	457	16	an	an	DET
easat-4929	457	17	unbiased	unbiased	ADJ
easat-4929	457	18	estimate	estimate	NOUN
easat-4929	457	19	of	of	ADP
easat-4929	457	20	the	the	DET
easat-4929	457	21	model	model	NOUN
easat-4929	457	22	's	's	PART
easat-4929	457	23	generalization	generalization	NOUN
easat-4929	457	24	performance	performance	NOUN
easat-4929	457	25	on	on	ADP
easat-4929	457	26	unseen	unseen	ADJ
easat-4929	457	27	data	datum	NOUN
easat-4929	457	28	.	.	PUNCT
easat-4929	458	1	performance	performance	NOUN
easat-4929	458	2	metrics	metric	NOUN
easat-4929	458	3	such	such	ADJ
easat-4929	458	4	as	as	ADP
easat-4929	458	5	auc	auc	NOUN
easat-4929	458	6	,	,	PUNCT
easat-4929	458	7	accuracy	accuracy	NOUN
easat-4929	458	8	,	,	PUNCT
easat-4929	458	9	recall	recall	NOUN
easat-4929	458	10	,	,	PUNCT
easat-4929	458	11	precision	precision	NOUN
easat-4929	458	12	,	,	PUNCT
easat-4929	458	13	specificity	specificity	NOUN
easat-4929	458	14	,	,	PUNCT
easat-4929	458	15	and	and	CCONJ
easat-4929	458	16	the	the	DET
easat-4929	458	17	f1	f1	PROPN
easat-4929	458	18	score	score	NOUN
easat-4929	458	19	were	be	AUX
easat-4929	458	20	measured	measure	VERB
easat-4929	458	21	on	on	ADP
easat-4929	458	22	the	the	DET
easat-4929	458	23	test	test	NOUN
easat-4929	458	24	set	set	VERB
easat-4929	458	25	during	during	ADP
easat-4929	458	26	the	the	DET
easat-4929	458	27	evaluation	evaluation	NOUN
easat-4929	458	28	of	of	ADP
easat-4929	458	29	the	the	DET
easat-4929	458	30	sgdc	sgdc	NOUN
easat-4929	458	31	model	model	NOUN
easat-4929	458	32	.	.	PUNCT
easat-4929	459	1	the	the	DET
easat-4929	459	2	0.7	0.7	NUM
easat-4929	459	3	threshold	threshold	NOUN
easat-4929	459	4	was	be	AUX
easat-4929	459	5	set	set	VERB
easat-4929	459	6	to	to	PART
easat-4929	459	7	balance	balance	VERB
easat-4929	459	8	recall	recall	NOUN
easat-4929	459	9	and	and	CCONJ
easat-4929	459	10	precision	precision	NOUN
easat-4929	459	11	while	while	SCONJ
easat-4929	459	12	maximizing	maximize	VERB
easat-4929	459	13	auc	auc	NOUN
easat-4929	459	14	.	.	PUNCT
easat-4929	460	1	4	4	X
easat-4929	460	2	.	.	X
easat-4929	460	3	results	result	VERB
easat-4929	460	4	this	this	DET
easat-4929	460	5	part	part	NOUN
easat-4929	460	6	presents	present	VERB
easat-4929	460	7	the	the	DET
easat-4929	460	8	findings	finding	NOUN
easat-4929	460	9	of	of	ADP
easat-4929	460	10	predicting	predict	VERB
easat-4929	460	11	hospital	hospital	NOUN
easat-4929	460	12	readmissions	readmission	NOUN
easat-4929	460	13	and	and	CCONJ
easat-4929	460	14	it	it	PRON
easat-4929	460	15	focuses	focus	VERB
easat-4929	460	16	on	on	ADP
easat-4929	460	17	the	the	DET
easat-4929	460	18	performance	performance	NOUN
easat-4929	460	19	of	of	ADP
easat-4929	460	20	various	various	ADJ
easat-4929	460	21	machine	machine	NOUN
easat-4929	460	22	learning	learning	NOUN
easat-4929	460	23	models	model	NOUN
easat-4929	460	24	,	,	PUNCT
easat-4929	460	25	identifying	identify	VERB
easat-4929	460	26	key	key	ADJ
easat-4929	460	27	factors	factor	NOUN
easat-4929	460	28	associated	associate	VERB
easat-4929	460	29	with	with	ADP
easat-4929	460	30	readmissions	readmission	NOUN
easat-4929	460	31	,	,	PUNCT
easat-4929	460	32	and	and	CCONJ
easat-4929	460	33	comparing	compare	VERB
easat-4929	460	34	these	these	DET
easat-4929	460	35	models	model	NOUN
easat-4929	460	36	considering	consider	VERB
easat-4929	460	37	the	the	DET
easat-4929	460	38	following	follow	VERB
easat-4929	460	39	research	research	NOUN
easat-4929	460	40	questions	question	NOUN
easat-4929	460	41	:	:	PUNCT
easat-4929	460	42	what	what	PRON
easat-4929	460	43	are	be	AUX
easat-4929	460	44	the	the	DET
easat-4929	460	45	main	main	ADJ
easat-4929	460	46	factors	factor	NOUN
easat-4929	460	47	that	that	PRON
easat-4929	460	48	influence	influence	VERB
easat-4929	460	49	the	the	DET
easat-4929	460	50	hospital	hospital	NOUN
easat-4929	460	51	readmissions	readmission	NOUN
easat-4929	460	52	of	of	ADP
easat-4929	460	53	diabetic	diabetic	ADJ
easat-4929	460	54	patients	patient	NOUN
easat-4929	460	55	?	?	PUNCT
easat-4929	461	1	which	which	DET
easat-4929	461	2	ml	ml	VERB
easat-4929	461	3	model	model	NOUN
easat-4929	461	4	/	/	SYM
easat-4929	461	5	algorithm	algorithm	NOUN
easat-4929	461	6	performs	perform	VERB
easat-4929	461	7	best	good	ADJ
easat-4929	461	8	in	in	ADP
easat-4929	461	9	readmission	readmission	NOUN
easat-4929	461	10	prediction	prediction	NOUN
easat-4929	461	11	,	,	PUNCT
easat-4929	461	12	based	base	VERB
easat-4929	461	13	on	on	ADP
easat-4929	461	14	various	various	ADJ
easat-4929	461	15	metrics	metric	NOUN
easat-4929	461	16	?	?	PUNCT
easat-4929	462	1	4.1	4.1	NUM
easat-4929	462	2	.	.	PUNCT
easat-4929	462	3	main	main	ADJ
easat-4929	462	4	risk	risk	NOUN
easat-4929	462	5	factors	factor	NOUN
easat-4929	462	6	for	for	ADP
easat-4929	462	7	hospital	hospital	NOUN
easat-4929	462	8	readmissions	readmission	NOUN
easat-4929	462	9	to	to	PART
easat-4929	462	10	categorize	categorize	VERB
easat-4929	462	11	the	the	DET
easat-4929	462	12	most	most	ADV
easat-4929	462	13	significant	significant	ADJ
easat-4929	462	14	risk	risk	NOUN
easat-4929	462	15	factors	factor	NOUN
easat-4929	462	16	for	for	ADP
easat-4929	462	17	readmission	readmission	NOUN
easat-4929	462	18	,	,	PUNCT
easat-4929	462	19	we	we	PRON
easat-4929	462	20	have	have	AUX
easat-4929	462	21	considered	consider	VERB
easat-4929	462	22	several	several	ADJ
easat-4929	462	23	models	model	NOUN
easat-4929	462	24	.	.	PUNCT
easat-4929	463	1	we	we	PRON
easat-4929	463	2	examine	examine	VERB
easat-4929	463	3	models	model	NOUN
easat-4929	463	4	like	like	ADP
easat-4929	463	5	sgd	sgd	PROPN
easat-4929	463	6	classifier	classifier	NOUN
easat-4929	463	7	(	(	PUNCT
easat-4929	463	8	sgdc	sgdc	PROPN
easat-4929	463	9	)	)	PUNCT
easat-4929	463	10	,	,	PUNCT
easat-4929	463	11	gradient	gradient	NOUN
easat-4929	463	12	boosting	boost	VERB
easat-4929	463	13	classifier	classifier	NOUN
easat-4929	463	14	(	(	PUNCT
easat-4929	463	15	gbc	gbc	PROPN
easat-4929	463	16	)	)	PUNCT
easat-4929	463	17	,	,	PUNCT
easat-4929	463	18	and	and	CCONJ
easat-4929	463	19	xgboost	xgboost	PRON
easat-4929	463	20	(	(	PUNCT
easat-4929	463	21	xgb	xgb	PROPN
easat-4929	463	22	)	)	PUNCT
easat-4929	463	23	to	to	PART
easat-4929	463	24	find	find	VERB
easat-4929	463	25	out	out	ADP
easat-4929	463	26	which	which	PRON
easat-4929	463	27	features	feature	VERB
easat-4929	463	28	these	these	DET
easat-4929	463	29	models	model	NOUN
easat-4929	463	30	prioritized	prioritize	VERB
easat-4929	463	31	when	when	SCONJ
easat-4929	463	32	predicting	predict	VERB
easat-4929	463	33	readmission	readmission	NOUN
easat-4929	463	34	among	among	ADP
easat-4929	463	35	diabetic	diabetic	ADJ
easat-4929	463	36	patients	patient	NOUN
easat-4929	463	37	.	.	PUNCT
easat-4929	464	1	across	across	ADP
easat-4929	464	2	all	all	DET
easat-4929	464	3	models	model	NOUN
easat-4929	464	4	,	,	PUNCT
easat-4929	464	5	the	the	DET
easat-4929	464	6	most	most	ADV
easat-4929	464	7	significant	significant	ADJ
easat-4929	464	8	contributors	contributor	NOUN
easat-4929	464	9	to	to	ADP
easat-4929	464	10	readmission	readmission	NOUN
easat-4929	464	11	risk	risk	NOUN
easat-4929	464	12	were	be	AUX
easat-4929	464	13	:	:	PUNCT
easat-4929	464	14	•	•	NUM
easat-4929	464	15	total	total	NOUN
easat-4929	464	16	visits	visit	NOUN
easat-4929	464	17	•	•	NOUN
easat-4929	464	18	number	number	NOUN
easat-4929	464	19	of	of	ADP
easat-4929	464	20	diagnoses	diagnosis	NOUN
easat-4929	464	21	•	•	NUM
easat-4929	464	22	time	time	NOUN
easat-4929	464	23	in	in	ADP
easat-4929	464	24	hospital	hospital	NOUN
easat-4929	464	25	other	other	ADJ
easat-4929	464	26	notable	notable	ADJ
easat-4929	464	27	factors	factor	NOUN
easat-4929	464	28	included	include	VERB
easat-4929	464	29	:	:	PUNCT
easat-4929	464	30	•	•	NUM
easat-4929	464	31	number	number	NOUN
easat-4929	464	32	of	of	ADP
easat-4929	464	33	procedures	procedure	NOUN
easat-4929	464	34	1824	1824	NUM
easat-4929	464	35	edelweiss	edelweiss	PROPN
easat-4929	464	36	applied	apply	VERB
easat-4929	464	37	science	science	NOUN
easat-4929	464	38	and	and	CCONJ
easat-4929	464	39	technology	technology	NOUN
easat-4929	464	40	issn	issn	PROPN
easat-4929	464	41	:	:	PUNCT
easat-4929	464	42	2576	2576	NUM
easat-4929	464	43	-	-	SYM
easat-4929	464	44	8484	8484	NUM
easat-4929	464	45	vol	vol	NOUN
easat-4929	464	46	.	.	PROPN
easat-4929	465	1	9	9	NUM
easat-4929	465	2	,	,	PUNCT
easat-4929	465	3	no	no	INTJ
easat-4929	465	4	.	.	NOUN
easat-4929	465	5	2	2	NUM
easat-4929	465	6	:	:	SYM
easat-4929	465	7	1803	1803	NUM
easat-4929	465	8	-	-	SYM
easat-4929	465	9	1829	1829	NUM
easat-4929	465	10	,	,	PUNCT
easat-4929	465	11	2025	2025	NUM
easat-4929	465	12	doi	doi	NOUN
easat-4929	465	13	:	:	PUNCT
easat-4929	465	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	465	15	©	©	PROPN
easat-4929	465	16	2025	2025	NUM
easat-4929	465	17	by	by	ADP
easat-4929	465	18	the	the	DET
easat-4929	465	19	authors	author	NOUN
easat-4929	465	20	;	;	PUNCT
easat-4929	465	21	licensee	licensee	PROPN
easat-4929	465	22	learning	learning	NOUN
easat-4929	465	23	gate	gate	VERB
easat-4929	465	24	•	•	NOUN
easat-4929	465	25	gender	gender	NOUN
easat-4929	465	26	•	•	NOUN
easat-4929	465	27	use	use	NOUN
easat-4929	465	28	of	of	ADP
easat-4929	465	29	medications	medication	NOUN
easat-4929	465	30	like	like	ADP
easat-4929	465	31	glipizide	glipizide	NOUN
easat-4929	465	32	.	.	PUNCT
easat-4929	466	1	to	to	PART
easat-4929	466	2	further	far	ADV
easat-4929	466	3	understand	understand	VERB
easat-4929	466	4	the	the	DET
easat-4929	466	5	relationship	relationship	NOUN
easat-4929	466	6	between	between	ADP
easat-4929	466	7	key	key	ADJ
easat-4929	466	8	features	feature	NOUN
easat-4929	466	9	we	we	PRON
easat-4929	466	10	explored	explore	VERB
easat-4929	466	11	lr	lr	NOUN
easat-4929	466	12	model	model	NOUN
easat-4929	466	13	.	.	PUNCT
easat-4929	467	1	findings	finding	NOUN
easat-4929	467	2	included	include	VERB
easat-4929	467	3	:	:	PUNCT
easat-4929	467	4	•	•	NUM
easat-4929	467	5	glipizide	glipizide	ADJ
easat-4929	467	6	use	use	NOUN
easat-4929	467	7	was	be	AUX
easat-4929	467	8	linked	link	VERB
easat-4929	467	9	to	to	ADP
easat-4929	467	10	a	a	DET
easat-4929	467	11	1.83	1.83	NUM
easat-4929	467	12	times	time	NOUN
easat-4929	467	13	higher	high	ADJ
easat-4929	467	14	likelihood	likelihood	NOUN
easat-4929	467	15	of	of	ADP
easat-4929	467	16	readmission	readmission	NOUN
easat-4929	467	17	.	.	PUNCT
easat-4929	468	1	•	•	NUM
easat-4929	468	2	total	total	ADJ
easat-4929	468	3	visits	visit	NOUN
easat-4929	468	4	increased	increase	VERB
easat-4929	468	5	the	the	DET
easat-4929	468	6	odds	odd	NOUN
easat-4929	468	7	of	of	ADP
easat-4929	468	8	readmission	readmission	NOUN
easat-4929	468	9	by	by	ADP
easat-4929	468	10	1.51	1.51	NUM
easat-4929	468	11	times	time	NOUN
easat-4929	468	12	for	for	ADP
easat-4929	468	13	each	each	DET
easat-4929	468	14	additional	additional	ADJ
easat-4929	468	15	visit	visit	NOUN
easat-4929	468	16	.	.	PUNCT
easat-4929	469	1	•	•	NOUN
easat-4929	469	2	insulin	insulin	NOUN
easat-4929	469	3	use	use	NOUN
easat-4929	469	4	was	be	AUX
easat-4929	469	5	linked	link	VERB
easat-4929	469	6	to	to	ADP
easat-4929	469	7	a	a	DET
easat-4929	469	8	34	34	NUM
easat-4929	469	9	%	%	NOUN
easat-4929	469	10	reduction	reduction	NOUN
easat-4929	469	11	in	in	ADP
easat-4929	469	12	the	the	DET
easat-4929	469	13	likelihood	likelihood	NOUN
easat-4929	469	14	of	of	ADP
easat-4929	469	15	readmission	readmission	NOUN
easat-4929	469	16	.	.	PUNCT
easat-4929	470	1	4.2	4.2	NUM
easat-4929	470	2	.	.	PUNCT
easat-4929	470	3	evaluation	evaluation	NOUN
easat-4929	470	4	of	of	ADP
easat-4929	470	5	machine	machine	NOUN
easat-4929	470	6	learning	learning	NOUN
easat-4929	470	7	algorithms	algorithm	NOUN
easat-4929	470	8	the	the	DET
easat-4929	470	9	algorithms	algorithm	NOUN
easat-4929	470	10	were	be	AUX
easat-4929	470	11	evaluated	evaluate	VERB
easat-4929	470	12	on	on	ADP
easat-4929	470	13	different	different	ADJ
easat-4929	470	14	metrics	metric	NOUN
easat-4929	470	15	.	.	PUNCT
easat-4929	471	1	the	the	DET
easat-4929	471	2	results	result	NOUN
easat-4929	471	3	are	be	AUX
easat-4929	471	4	shown	show	VERB
easat-4929	471	5	in	in	ADP
easat-4929	471	6	the	the	DET
easat-4929	471	7	figure	figure	NOUN
easat-4929	471	8	11	11	NUM
easat-4929	471	9	.	.	PUNCT
easat-4929	472	1	1825	1825	NUM
easat-4929	472	2	edelweiss	edelweiss	PROPN
easat-4929	472	3	applied	apply	VERB
easat-4929	472	4	science	science	NOUN
easat-4929	472	5	and	and	CCONJ
easat-4929	472	6	technology	technology	NOUN
easat-4929	472	7	issn	issn	PROPN
easat-4929	472	8	:	:	PUNCT
easat-4929	472	9	2576	2576	NUM
easat-4929	472	10	-	-	SYM
easat-4929	472	11	8484	8484	NUM
easat-4929	472	12	vol	vol	NOUN
easat-4929	472	13	.	.	PROPN
easat-4929	473	1	9	9	NUM
easat-4929	473	2	,	,	PUNCT
easat-4929	473	3	no	no	INTJ
easat-4929	473	4	.	.	NOUN
easat-4929	473	5	2	2	NUM
easat-4929	473	6	:	:	SYM
easat-4929	473	7	1803	1803	NUM
easat-4929	473	8	-	-	SYM
easat-4929	473	9	1829	1829	NUM
easat-4929	473	10	,	,	PUNCT
easat-4929	473	11	2025	2025	NUM
easat-4929	473	12	doi	doi	NOUN
easat-4929	473	13	:	:	PUNCT
easat-4929	473	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	473	15	©	©	PROPN
easat-4929	473	16	2025	2025	NUM
easat-4929	473	17	by	by	ADP
easat-4929	473	18	the	the	DET
easat-4929	473	19	authors	author	NOUN
easat-4929	473	20	;	;	PUNCT
easat-4929	473	21	licensee	licensee	PROPN
easat-4929	473	22	learning	learn	VERB
easat-4929	473	23	gate	gate	PROPN
easat-4929	473	24	figure	figure	NOUN
easat-4929	473	25	11	11	NUM
easat-4929	473	26	.	.	PUNCT
easat-4929	474	1	comparison	comparison	NOUN
easat-4929	474	2	of	of	ADP
easat-4929	474	3	model	model	NOUN
easat-4929	474	4	’s	’s	PART
easat-4929	474	5	performance	performance	NOUN
easat-4929	474	6	on	on	ADP
easat-4929	474	7	all	all	DET
easat-4929	474	8	metrics	metric	NOUN
easat-4929	474	9	.	.	PUNCT
easat-4929	475	1	logistic	logistic	ADJ
easat-4929	475	2	regression	regression	NOUN
easat-4929	475	3	performed	perform	VERB
easat-4929	475	4	moderately	moderately	ADV
easat-4929	475	5	well	well	ADV
easat-4929	475	6	on	on	ADP
easat-4929	475	7	the	the	DET
easat-4929	475	8	training	training	NOUN
easat-4929	475	9	phase	phase	NOUN
easat-4929	475	10	(	(	PUNCT
easat-4929	475	11	auc	auc	NOUN
easat-4929	475	12	0.782	0.782	NUM
easat-4929	475	13	,	,	PUNCT
easat-4929	475	14	f1	f1	NOUN
easat-4929	475	15	0.731	0.731	NUM
easat-4929	475	16	)	)	PUNCT
easat-4929	475	17	but	but	CCONJ
easat-4929	475	18	this	this	PRON
easat-4929	475	19	did	do	AUX
easat-4929	475	20	not	not	PART
easat-4929	475	21	translate	translate	VERB
easat-4929	475	22	well	well	ADV
easat-4929	475	23	into	into	ADP
easat-4929	475	24	validation	validation	NOUN
easat-4929	475	25	as	as	SCONJ
easat-4929	475	26	auc	auc	NOUN
easat-4929	475	27	dropped	drop	VERB
easat-4929	475	28	to	to	ADP
easat-4929	475	29	0.569	0.569	NUM
easat-4929	475	30	and	and	CCONJ
easat-4929	475	31	f1	f1	NOUN
easat-4929	475	32	to	to	ADP
easat-4929	475	33	0.208	0.208	NUM
easat-4929	475	34	.	.	PUNCT
easat-4929	476	1	stochastic	stochastic	ADJ
easat-4929	476	2	gradient	gradient	ADJ
easat-4929	476	3	descent	descent	NOUN
easat-4929	476	4	(	(	PUNCT
easat-4929	476	5	sgd	sgd	PROPN
easat-4929	476	6	)	)	PUNCT
easat-4929	476	7	was	be	AUX
easat-4929	476	8	better	well	ADJ
easat-4929	476	9	at	at	ADP
easat-4929	476	10	maintaining	maintain	VERB
easat-4929	476	11	auc	auc	NOUN
easat-4929	476	12	in	in	ADP
easat-4929	476	13	training	training	NOUN
easat-4929	476	14	and	and	CCONJ
easat-4929	476	15	validation	validation	NOUN
easat-4929	476	16	phases	phase	NOUN
easat-4929	476	17	(	(	PUNCT
easat-4929	476	18	0.692	0.692	NUM
easat-4929	476	19	to	to	ADP
easat-4929	476	20	0.588	0.588	NUM
easat-4929	476	21	)	)	PUNCT
easat-4929	476	22	but	but	CCONJ
easat-4929	476	23	validated	validate	VERB
easat-4929	476	24	poorly	poorly	ADV
easat-4929	476	25	with	with	ADP
easat-4929	476	26	f1	f1	NOUN
easat-4929	476	27	0.201	0.201	NUM
easat-4929	476	28	.	.	PUNCT
easat-4929	477	1	decision	decision	NOUN
easat-4929	477	2	tree	tree	NOUN
easat-4929	477	3	also	also	ADV
easat-4929	477	4	suffered	suffer	VERB
easat-4929	477	5	from	from	ADP
easat-4929	477	6	severe	severe	ADJ
easat-4929	477	7	overfitting	overfitting	NOUN
easat-4929	477	8	,	,	PUNCT
easat-4929	477	9	with	with	SCONJ
easat-4929	477	10	its	its	PRON
easat-4929	477	11	training	training	NOUN
easat-4929	477	12	auc	auc	NOUN
easat-4929	477	13	at	at	ADP
easat-4929	477	14	0.869	0.869	NUM
easat-4929	477	15	dropping	drop	VERB
easat-4929	477	16	to	to	ADP
easat-4929	477	17	0.417	0.417	NUM
easat-4929	477	18	on	on	ADP
easat-4929	477	19	validation	validation	NOUN
easat-4929	477	20	,	,	PUNCT
easat-4929	477	21	and	and	CCONJ
easat-4929	477	22	a	a	DET
easat-4929	477	23	validation	validation	NOUN
easat-4929	477	24	specificity	specificity	NOUN
easat-4929	477	25	of	of	ADP
easat-4929	477	26	0	0	NUM
easat-4929	477	27	.	.	PUNCT
easat-4929	478	1	similarly	similarly	ADV
easat-4929	478	2	,	,	PUNCT
easat-4929	478	3	random	random	ADJ
easat-4929	478	4	forest	forest	NOUN
easat-4929	478	5	performed	perform	VERB
easat-4929	478	6	well	well	ADV
easat-4929	478	7	in	in	ADP
easat-4929	478	8	training	training	NOUN
easat-4929	478	9	(	(	PUNCT
easat-4929	478	10	auc	auc	NOUN
easat-4929	478	11	0.848	0.848	NUM
easat-4929	478	12	)	)	PUNCT
easat-4929	478	13	had	have	VERB
easat-4929	478	14	a	a	DET
easat-4929	478	15	decline	decline	NOUN
easat-4929	478	16	in	in	ADP
easat-4929	478	17	validation	validation	NOUN
easat-4929	478	18	auc	auc	NOUN
easat-4929	478	19	(	(	PUNCT
easat-4929	478	20	0.457	0.457	NUM
easat-4929	478	21	)	)	PUNCT
easat-4929	478	22	and	and	CCONJ
easat-4929	478	23	f1	f1	PROPN
easat-4929	478	24	score	score	NOUN
easat-4929	478	25	(	(	PUNCT
easat-4929	478	26	0.198	0.198	NUM
easat-4929	478	27	)	)	PUNCT
easat-4929	478	28	,	,	PUNCT
easat-4929	478	29	with	with	ADP
easat-4929	478	30	high	high	ADJ
easat-4929	478	31	recall	recall	NOUN
easat-4929	478	32	but	but	CCONJ
easat-4929	478	33	low	low	ADJ
easat-4929	478	34	precision	precision	NOUN
easat-4929	478	35	and	and	CCONJ
easat-4929	478	36	specificity	specificity	NOUN
easat-4929	478	37	,	,	PUNCT
easat-4929	478	38	indicating	indicate	VERB
easat-4929	478	39	a	a	DET
easat-4929	478	40	high	high	ADJ
easat-4929	478	41	rate	rate	NOUN
easat-4929	478	42	of	of	ADP
easat-4929	478	43	false	false	ADJ
easat-4929	478	44	positives	positive	NOUN
easat-4929	478	45	.	.	PUNCT
easat-4929	479	1	gradient	gradient	ADJ
easat-4929	479	2	boosting	boosting	NOUN
easat-4929	479	3	and	and	CCONJ
easat-4929	479	4	xgboost	xgboost	ADV
easat-4929	479	5	overfitted	overfitte	VERB
easat-4929	479	6	heavily	heavily	ADV
easat-4929	479	7	,	,	PUNCT
easat-4929	479	8	with	with	ADP
easat-4929	479	9	validation	validation	NOUN
easat-4929	479	10	aucs	aucs	NOUN
easat-4929	479	11	around	around	ADP
easat-4929	479	12	0.498	0.498	NUM
easat-4929	479	13	and	and	CCONJ
easat-4929	479	14	0.438	0.438	NUM
easat-4929	479	15	,	,	PUNCT
easat-4929	479	16	respectively	respectively	ADV
easat-4929	479	17	,	,	PUNCT
easat-4929	479	18	despite	despite	SCONJ
easat-4929	479	19	high	high	ADJ
easat-4929	479	20	training	training	NOUN
easat-4929	479	21	aucs	aucs	NOUN
easat-4929	479	22	.	.	PUNCT
easat-4929	480	1	4.3	4.3	NUM
easat-4929	480	2	.	.	PUNCT
easat-4929	480	3	evaluation	evaluation	NOUN
easat-4929	480	4	of	of	ADP
easat-4929	480	5	optimized	optimize	VERB
easat-4929	480	6	models	model	NOUN
easat-4929	480	7	based	base	VERB
easat-4929	480	8	on	on	ADP
easat-4929	480	9	the	the	DET
easat-4929	480	10	baseline	baseline	ADJ
easat-4929	480	11	auc	auc	NOUN
easat-4929	480	12	scores	score	NOUN
easat-4929	480	13	,	,	PUNCT
easat-4929	480	14	models	model	NOUN
easat-4929	480	15	such	such	ADJ
easat-4929	480	16	as	as	ADP
easat-4929	480	17	stochastic	stochastic	ADJ
easat-4929	480	18	gradient	gradient	ADJ
easat-4929	480	19	descent	descent	NOUN
easat-4929	480	20	(	(	PUNCT
easat-4929	480	21	sgd	sgd	PROPN
easat-4929	480	22	)	)	PUNCT
easat-4929	480	23	,	,	PUNCT
easat-4929	480	24	gradient	gradient	NOUN
easat-4929	480	25	boosting	boosting	NOUN
easat-4929	480	26	(	(	PUNCT
easat-4929	480	27	gb	gb	NOUN
easat-4929	480	28	)	)	PUNCT
easat-4929	480	29	,	,	PUNCT
easat-4929	480	30	and	and	CCONJ
easat-4929	480	31	xgboost	xgboost	PRON
easat-4929	480	32	(	(	PUNCT
easat-4929	480	33	xgb	xgb	PROPN
easat-4929	480	34	)	)	PUNCT
easat-4929	480	35	were	be	AUX
easat-4929	480	36	selected	select	VERB
easat-4929	480	37	for	for	ADP
easat-4929	480	38	further	further	ADJ
easat-4929	480	39	optimization	optimization	NOUN
easat-4929	480	40	.	.	PUNCT
easat-4929	481	1	these	these	DET
easat-4929	481	2	models	model	NOUN
easat-4929	481	3	demonstrated	demonstrate	VERB
easat-4929	481	4	better	well	ADJ
easat-4929	481	5	initial	initial	ADJ
easat-4929	481	6	performance	performance	NOUN
easat-4929	481	7	than	than	ADP
easat-4929	481	8	the	the	DET
easat-4929	481	9	other	other	ADJ
easat-4929	481	10	models	model	NOUN
easat-4929	481	11	.	.	PUNCT
easat-4929	482	1	1826	1826	NUM
easat-4929	482	2	edelweiss	edelweiss	PROPN
easat-4929	482	3	applied	apply	VERB
easat-4929	482	4	science	science	NOUN
easat-4929	482	5	and	and	CCONJ
easat-4929	482	6	technology	technology	NOUN
easat-4929	482	7	issn	issn	PROPN
easat-4929	482	8	:	:	PUNCT
easat-4929	482	9	2576	2576	NUM
easat-4929	482	10	-	-	SYM
easat-4929	482	11	8484	8484	NUM
easat-4929	482	12	vol	vol	NOUN
easat-4929	482	13	.	.	PROPN
easat-4929	483	1	9	9	NUM
easat-4929	483	2	,	,	PUNCT
easat-4929	483	3	no	no	INTJ
easat-4929	483	4	.	.	NOUN
easat-4929	483	5	2	2	NUM
easat-4929	483	6	:	:	SYM
easat-4929	483	7	1803	1803	NUM
easat-4929	483	8	-	-	SYM
easat-4929	483	9	1829	1829	NUM
easat-4929	483	10	,	,	PUNCT
easat-4929	483	11	2025	2025	NUM
easat-4929	483	12	doi	doi	NOUN
easat-4929	483	13	:	:	PUNCT
easat-4929	483	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	483	15	©	©	PROPN
easat-4929	483	16	2025	2025	NUM
easat-4929	483	17	by	by	ADP
easat-4929	483	18	the	the	DET
easat-4929	483	19	authors	author	NOUN
easat-4929	483	20	;	;	PUNCT
easat-4929	484	1	licensee	licensee	PROPN
easat-4929	484	2	learning	learn	VERB
easat-4929	484	3	gate	gate	PROPN
easat-4929	484	4	figure	figure	NOUN
easat-4929	484	5	12	12	NUM
easat-4929	484	6	.	.	PUNCT
easat-4929	484	7	comparison	comparison	NOUN
easat-4929	484	8	of	of	ADP
easat-4929	484	9	baseline	baseline	NOUN
easat-4929	484	10	models	model	NOUN
easat-4929	484	11	and	and	CCONJ
easat-4929	484	12	optimized	optimize	VERB
easat-4929	484	13	models	model	NOUN
easat-4929	484	14	.	.	PUNCT
easat-4929	485	1	optimized	optimize	VERB
easat-4929	485	2	models	model	NOUN
easat-4929	485	3	were	be	AUX
easat-4929	485	4	evaluated	evaluate	VERB
easat-4929	485	5	based	base	VERB
easat-4929	485	6	on	on	ADP
easat-4929	485	7	their	their	PRON
easat-4929	485	8	auc	auc	ADJ
easat-4929	485	9	score	score	NOUN
easat-4929	485	10	and	and	CCONJ
easat-4929	485	11	compared	compare	VERB
easat-4929	485	12	with	with	ADP
easat-4929	485	13	their	their	PRON
easat-4929	485	14	baseline	baseline	NOUN
easat-4929	485	15	model	model	NOUN
easat-4929	485	16	.	.	PUNCT
easat-4929	486	1	it	it	PRON
easat-4929	486	2	is	be	AUX
easat-4929	486	3	seen	see	VERB
easat-4929	486	4	in	in	ADP
easat-4929	486	5	the	the	DET
easat-4929	486	6	figure	figure	NOUN
easat-4929	486	7	12	12	NUM
easat-4929	486	8	that	that	SCONJ
easat-4929	486	9	after	after	ADP
easat-4929	486	10	optimization	optimization	NOUN
easat-4929	486	11	,	,	PUNCT
easat-4929	486	12	sgd	sgd	PROPN
easat-4929	486	13	got	get	VERB
easat-4929	486	14	a	a	DET
easat-4929	486	15	slight	slight	ADJ
easat-4929	486	16	improvement	improvement	NOUN
easat-4929	486	17	in	in	ADP
easat-4929	486	18	validation	validation	NOUN
easat-4929	486	19	auc	auc	NOUN
easat-4929	486	20	from	from	ADP
easat-4929	486	21	0.588	0.588	NUM
easat-4929	486	22	to	to	ADP
easat-4929	486	23	0.609	0.609	NUM
easat-4929	486	24	,	,	PUNCT
easat-4929	486	25	although	although	SCONJ
easat-4929	486	26	its	its	PRON
easat-4929	486	27	training	training	NOUN
easat-4929	486	28	auc	auc	NOUN
easat-4929	486	29	reduced	reduce	VERB
easat-4929	486	30	from	from	ADP
easat-4929	486	31	0.692	0.692	NUM
easat-4929	486	32	to	to	ADP
easat-4929	486	33	0.685	0.685	NUM
easat-4929	486	34	.	.	PUNCT
easat-4929	487	1	gradient	gradient	ADJ
easat-4929	487	2	boosting	boosting	NOUN
easat-4929	487	3	achieved	achieve	VERB
easat-4929	487	4	a	a	DET
easat-4929	487	5	drop	drop	NOUN
easat-4929	487	6	in	in	ADP
easat-4929	487	7	both	both	DET
easat-4929	487	8	training	training	NOUN
easat-4929	487	9	auc	auc	NOUN
easat-4929	487	10	from	from	ADP
easat-4929	487	11	0.974	0.974	NUM
easat-4929	487	12	to	to	ADP
easat-4929	487	13	0.945	0.945	NUM
easat-4929	487	14	and	and	CCONJ
easat-4929	487	15	validation	validation	NOUN
easat-4929	487	16	from	from	ADP
easat-4929	487	17	0.498	0.498	NUM
easat-4929	487	18	to	to	ADP
easat-4929	487	19	0.444	0.444	NUM
easat-4929	487	20	.	.	PUNCT
easat-4929	488	1	xgboost	xgboost	PROPN
easat-4929	488	2	yielded	yield	VERB
easat-4929	488	3	the	the	DET
easat-4929	488	4	best	good	ADJ
easat-4929	488	5	results	result	NOUN
easat-4929	488	6	as	as	SCONJ
easat-4929	488	7	it	it	PRON
easat-4929	488	8	improved	improve	VERB
easat-4929	488	9	from	from	ADP
easat-4929	488	10	0.438	0.438	NUM
easat-4929	488	11	to	to	ADP
easat-4929	488	12	0.473	0.473	NUM
easat-4929	488	13	and	and	CCONJ
easat-4929	488	14	its	its	PRON
easat-4929	488	15	training	training	NOUN
easat-4929	488	16	auc	auc	NOUN
easat-4929	488	17	rising	rise	VERB
easat-4929	488	18	from	from	ADP
easat-4929	488	19	0.945	0.945	NUM
easat-4929	488	20	to	to	ADP
easat-4929	488	21	0.973	0.973	NUM
easat-4929	488	22	.	.	PUNCT
easat-4929	489	1	4.4	4.4	NUM
easat-4929	489	2	.	.	PUNCT
easat-4929	489	3	performance	performance	NOUN
easat-4929	489	4	of	of	ADP
easat-4929	489	5	the	the	DET
easat-4929	489	6	best	good	ADJ
easat-4929	489	7	model	model	NOUN
easat-4929	489	8	in	in	ADP
easat-4929	489	9	this	this	DET
easat-4929	489	10	analysis	analysis	NOUN
easat-4929	489	11	,	,	PUNCT
easat-4929	489	12	multiple	multiple	ADJ
easat-4929	489	13	models	model	NOUN
easat-4929	489	14	were	be	AUX
easat-4929	489	15	deployed	deploy	VERB
easat-4929	489	16	,	,	PUNCT
easat-4929	489	17	including	include	VERB
easat-4929	489	18	xgboost	xgboost	PROPN
easat-4929	489	19	,	,	PUNCT
easat-4929	489	20	gradient	gradient	ADJ
easat-4929	489	21	boosting	boosting	NOUN
easat-4929	489	22	(	(	PUNCT
easat-4929	489	23	gb	gb	NOUN
easat-4929	489	24	)	)	PUNCT
easat-4929	489	25	,	,	PUNCT
easat-4929	489	26	random	random	ADJ
easat-4929	489	27	forest	forest	NOUN
easat-4929	489	28	,	,	PUNCT
easat-4929	489	29	decision	decision	NOUN
easat-4929	489	30	trees	tree	NOUN
easat-4929	489	31	,	,	PUNCT
easat-4929	489	32	stochastic	stochastic	ADJ
easat-4929	489	33	gradient	gradient	ADJ
easat-4929	489	34	descent	descent	NOUN
easat-4929	489	35	(	(	PUNCT
easat-4929	489	36	sgd	sgd	NOUN
easat-4929	489	37	)	)	PUNCT
easat-4929	489	38	,	,	PUNCT
easat-4929	489	39	and	and	CCONJ
easat-4929	489	40	logistic	logistic	ADJ
easat-4929	489	41	regression	regression	NOUN
easat-4929	489	42	.	.	PUNCT
easat-4929	490	1	it	it	PRON
easat-4929	490	2	was	be	AUX
easat-4929	490	3	noticed	notice	VERB
easat-4929	490	4	that	that	SCONJ
easat-4929	490	5	models	model	NOUN
easat-4929	490	6	like	like	ADP
easat-4929	490	7	gradient	gradient	NOUN
easat-4929	490	8	boosting	boosting	NOUN
easat-4929	490	9	and	and	CCONJ
easat-4929	490	10	xgboost	xgboost	ADV
easat-4929	490	11	achieved	achieve	VERB
easat-4929	490	12	good	good	ADJ
easat-4929	490	13	results	result	NOUN
easat-4929	490	14	on	on	ADP
easat-4929	490	15	the	the	DET
easat-4929	490	16	training	training	NOUN
easat-4929	490	17	data	datum	NOUN
easat-4929	490	18	but	but	CCONJ
easat-4929	490	19	suffered	suffer	VERB
easat-4929	490	20	significant	significant	ADJ
easat-4929	490	21	overfitting	overfitting	NOUN
easat-4929	490	22	to	to	ADP
easat-4929	490	23	the	the	DET
easat-4929	490	24	validation	validation	NOUN
easat-4929	490	25	data	datum	NOUN
easat-4929	490	26	.	.	PUNCT
easat-4929	491	1	in	in	ADP
easat-4929	491	2	comparison	comparison	NOUN
easat-4929	491	3	,	,	PUNCT
easat-4929	491	4	simpler	simple	ADJ
easat-4929	491	5	models	model	NOUN
easat-4929	491	6	such	such	ADJ
easat-4929	491	7	as	as	ADP
easat-4929	491	8	logistic	logistic	ADJ
easat-4929	491	9	regression	regression	NOUN
easat-4929	491	10	and	and	CCONJ
easat-4929	491	11	stochastic	stochastic	ADJ
easat-4929	491	12	gradient	gradient	ADJ
easat-4929	491	13	descent	descent	NOUN
easat-4929	491	14	did	do	AUX
easat-4929	491	15	not	not	PART
easat-4929	491	16	capture	capture	VERB
easat-4929	491	17	all	all	DET
easat-4929	491	18	the	the	DET
easat-4929	491	19	features	feature	NOUN
easat-4929	491	20	of	of	ADP
easat-4929	491	21	the	the	DET
easat-4929	491	22	dataset	dataset	NOUN
easat-4929	491	23	but	but	CCONJ
easat-4929	491	24	were	be	AUX
easat-4929	491	25	more	more	ADV
easat-4929	491	26	generalizable	generalizable	ADJ
easat-4929	491	27	on	on	ADP
easat-4929	491	28	validation	validation	NOUN
easat-4929	491	29	data	datum	NOUN
easat-4929	491	30	.	.	PUNCT
easat-4929	492	1	table	table	NOUN
easat-4929	492	2	2	2	NUM
easat-4929	492	3	.	.	PUNCT
easat-4929	492	4	sgdc	sgdc	NOUN
easat-4929	492	5	final	final	ADJ
easat-4929	492	6	performance	performance	NOUN
easat-4929	492	7	.	.	PUNCT
easat-4929	493	1	stochastic	stochastic	ADJ
easat-4929	493	2	gradient	gradient	ADJ
easat-4929	493	3	descent	descent	NOUN
easat-4929	493	4	(	(	PUNCT
easat-4929	493	5	optimized	optimize	VERB
easat-4929	493	6	)	)	PUNCT
easat-4929	493	7	metric	metric	ADJ
easat-4929	493	8	training	training	NOUN
easat-4929	493	9	set	set	NOUN
easat-4929	493	10	results	result	VERB
easat-4929	493	11	validation	validation	NOUN
easat-4929	493	12	set	set	VERB
easat-4929	493	13	results	result	NOUN
easat-4929	493	14	testing	test	VERB
easat-4929	493	15	set	set	NOUN
easat-4929	493	16	results	result	NOUN
easat-4929	493	17	auc	auc	VERB
easat-4929	493	18	0.685	0.685	NUM
easat-4929	493	19	0.609	0.609	NUM
easat-4929	493	20	0.6	0.6	NUM
easat-4929	493	21	accuracy	accuracy	NOUN
easat-4929	493	22	0.52	0.52	NUM
easat-4929	493	23	0.484	0.484	NUM
easat-4929	493	24	0.475	0.475	NUM
easat-4929	493	25	recall	recall	NOUN
easat-4929	493	26	0.056	0.056	NUM
easat-4929	493	27	0.693	0.693	NUM
easat-4929	493	28	0.678	0.678	NUM
easat-4929	493	29	precision	precision	NOUN
easat-4929	493	30	0.748	0.748	NUM
easat-4929	493	31	0.138	0.138	NUM
easat-4929	493	32	0.142	0.142	NUM
easat-4929	493	33	specificity	specificity	NOUN
easat-4929	493	34	0.984	0.984	NUM
easat-4929	493	35	0.458	0.458	NUM
easat-4929	493	36	0.448	0.448	NUM
easat-4929	493	37	prevalence	prevalence	NOUN
easat-4929	493	38	0.5	0.5	NUM
easat-4929	493	39	0.112	0.112	NUM
easat-4929	493	40	0.119	0.119	NUM
easat-4929	493	41	f1	f1	NOUN
easat-4929	493	42	score	score	NOUN
easat-4929	493	43	0.105	0.105	NUM
easat-4929	493	44	0.23	0.23	NUM
easat-4929	493	45	0.235	0.235	NUM
easat-4929	493	46	1827	1827	NUM
easat-4929	493	47	edelweiss	edelweiss	PROPN
easat-4929	493	48	applied	apply	VERB
easat-4929	493	49	science	science	NOUN
easat-4929	493	50	and	and	CCONJ
easat-4929	493	51	technology	technology	NOUN
easat-4929	493	52	issn	issn	PROPN
easat-4929	493	53	:	:	PUNCT
easat-4929	493	54	2576	2576	NUM
easat-4929	493	55	-	-	SYM
easat-4929	493	56	8484	8484	NUM
easat-4929	493	57	vol	vol	NOUN
easat-4929	493	58	.	.	PROPN
easat-4929	494	1	9	9	NUM
easat-4929	494	2	,	,	PUNCT
easat-4929	494	3	no	no	INTJ
easat-4929	494	4	.	.	NOUN
easat-4929	494	5	2	2	NUM
easat-4929	494	6	:	:	SYM
easat-4929	494	7	1803	1803	NUM
easat-4929	494	8	-	-	SYM
easat-4929	494	9	1829	1829	NUM
easat-4929	494	10	,	,	PUNCT
easat-4929	494	11	2025	2025	NUM
easat-4929	494	12	doi	doi	NOUN
easat-4929	494	13	:	:	PUNCT
easat-4929	494	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	494	15	©	©	PROPN
easat-4929	494	16	2025	2025	NUM
easat-4929	494	17	by	by	ADP
easat-4929	494	18	the	the	DET
easat-4929	494	19	authors	author	NOUN
easat-4929	494	20	;	;	PUNCT
easat-4929	494	21	licensee	licensee	PROPN
easat-4929	494	22	learning	learning	NOUN
easat-4929	494	23	gate	gate	PROPN
easat-4929	494	24	overall	overall	ADJ
easat-4929	494	25	,	,	PUNCT
easat-4929	494	26	simpler	simple	ADJ
easat-4929	494	27	models	model	NOUN
easat-4929	494	28	,	,	PUNCT
easat-4929	494	29	tend	tend	VERB
easat-4929	494	30	to	to	PART
easat-4929	494	31	generalize	generalize	VERB
easat-4929	494	32	better	well	ADV
easat-4929	494	33	in	in	ADP
easat-4929	494	34	this	this	DET
easat-4929	494	35	dataset	dataset	NOUN
easat-4929	494	36	.	.	PUNCT
easat-4929	495	1	gradient	gradient	ADJ
easat-4929	495	2	descent	descent	NOUN
easat-4929	495	3	classifier	classifier	NOUN
easat-4929	495	4	(	(	PUNCT
easat-4929	495	5	sgdc	sgdc	NOUN
easat-4929	495	6	)	)	PUNCT
easat-4929	495	7	was	be	AUX
easat-4929	495	8	selected	select	VERB
easat-4929	495	9	as	as	ADP
easat-4929	495	10	the	the	DET
easat-4929	495	11	best	well	ADV
easat-4929	495	12	-	-	PUNCT
easat-4929	495	13	performing	perform	VERB
easat-4929	495	14	model	model	NOUN
easat-4929	495	15	due	due	ADP
easat-4929	495	16	to	to	ADP
easat-4929	495	17	its	its	PRON
easat-4929	495	18	superior	superior	ADJ
easat-4929	495	19	auc	auc	NOUN
easat-4929	495	20	score	score	NOUN
easat-4929	495	21	during	during	ADP
easat-4929	495	22	validation	validation	NOUN
easat-4929	495	23	.	.	PUNCT
easat-4929	496	1	the	the	DET
easat-4929	496	2	final	final	ADJ
easat-4929	496	3	performance	performance	NOUN
easat-4929	496	4	of	of	ADP
easat-4929	496	5	the	the	DET
easat-4929	496	6	sgdc	sgdc	NOUN
easat-4929	496	7	model	model	NOUN
easat-4929	496	8	was	be	AUX
easat-4929	496	9	evaluated	evaluate	VERB
easat-4929	496	10	using	use	VERB
easat-4929	496	11	the	the	DET
easat-4929	496	12	testing	testing	NOUN
easat-4929	496	13	data	datum	NOUN
easat-4929	496	14	to	to	PART
easat-4929	496	15	assess	assess	VERB
easat-4929	496	16	its	its	PRON
easat-4929	496	17	predictive	predictive	ADJ
easat-4929	496	18	power	power	NOUN
easat-4929	496	19	on	on	ADP
easat-4929	496	20	unseen	unseen	ADJ
easat-4929	496	21	data	datum	NOUN
easat-4929	496	22	.	.	PUNCT
easat-4929	497	1	a	a	DET
easat-4929	497	2	threshold	threshold	NOUN
easat-4929	497	3	of	of	ADP
easat-4929	497	4	0.7	0.7	NUM
easat-4929	497	5	was	be	AUX
easat-4929	497	6	used	use	VERB
easat-4929	497	7	when	when	SCONJ
easat-4929	497	8	testing	test	VERB
easat-4929	497	9	the	the	DET
easat-4929	497	10	model	model	NOUN
easat-4929	497	11	.	.	PUNCT
easat-4929	498	1	the	the	DET
easat-4929	498	2	final	final	ADJ
easat-4929	498	3	performance	performance	NOUN
easat-4929	498	4	of	of	ADP
easat-4929	498	5	the	the	DET
easat-4929	498	6	sgd	sgd	PROPN
easat-4929	498	7	model	model	NOUN
easat-4929	498	8	is	be	AUX
easat-4929	498	9	shown	show	VERB
easat-4929	498	10	in	in	ADP
easat-4929	498	11	table	table	NOUN
easat-4929	498	12	2	2	NUM
easat-4929	498	13	.	.	X
easat-4929	498	14	4.5	4.5	NUM
easat-4929	498	15	.	.	PUNCT
easat-4929	499	1	discussion	discussion	NOUN
easat-4929	499	2	the	the	DET
easat-4929	499	3	study	study	NOUN
easat-4929	499	4	identified	identify	VERB
easat-4929	499	5	several	several	ADJ
easat-4929	499	6	factors	factor	NOUN
easat-4929	499	7	influencing	influence	VERB
easat-4929	499	8	the	the	DET
easat-4929	499	9	likelihood	likelihood	NOUN
easat-4929	499	10	of	of	ADP
easat-4929	499	11	hospital	hospital	NOUN
easat-4929	499	12	readmission	readmission	NOUN
easat-4929	499	13	among	among	ADP
easat-4929	499	14	diabetic	diabetic	ADJ
easat-4929	499	15	patients	patient	NOUN
easat-4929	499	16	.	.	PUNCT
easat-4929	500	1	what	what	PRON
easat-4929	500	2	emerged	emerge	VERB
easat-4929	500	3	as	as	ADP
easat-4929	500	4	fundamental	fundamental	ADJ
easat-4929	500	5	predictors	predictor	NOUN
easat-4929	500	6	was	be	AUX
easat-4929	500	7	the	the	DET
easat-4929	500	8	total	total	ADJ
easat-4929	500	9	amount	amount	NOUN
easat-4929	500	10	of	of	ADP
easat-4929	500	11	healthcare	healthcare	NOUN
easat-4929	500	12	visits	visit	NOUN
easat-4929	500	13	,	,	PUNCT
easat-4929	500	14	the	the	DET
easat-4929	500	15	amount	amount	NOUN
easat-4929	500	16	of	of	ADP
easat-4929	500	17	healthcare	healthcare	NOUN
easat-4929	500	18	diagnosis	diagnosis	NOUN
easat-4929	500	19	made	make	VERB
easat-4929	500	20	and	and	CCONJ
easat-4929	500	21	the	the	DET
easat-4929	500	22	length	length	NOUN
easat-4929	500	23	of	of	ADP
easat-4929	500	24	stay	stay	NOUN
easat-4929	500	25	in	in	ADP
easat-4929	500	26	hospitals	hospital	NOUN
easat-4929	500	27	.	.	PUNCT
easat-4929	501	1	these	these	DET
easat-4929	501	2	results	result	NOUN
easat-4929	501	3	are	be	AUX
easat-4929	501	4	in	in	ADP
easat-4929	501	5	agreement	agreement	NOUN
easat-4929	501	6	with	with	ADP
easat-4929	501	7	other	other	ADJ
easat-4929	501	8	studies	study	NOUN
easat-4929	501	9	which	which	PRON
easat-4929	501	10	looked	look	VERB
easat-4929	501	11	in	in	ADP
easat-4929	501	12	particular	particular	ADJ
easat-4929	501	13	at	at	ADP
easat-4929	501	14	the	the	DET
easat-4929	501	15	relationship	relationship	NOUN
easat-4929	501	16	between	between	ADP
easat-4929	501	17	healthcare	healthcare	NOUN
easat-4929	501	18	utilization	utilization	NOUN
easat-4929	501	19	complexity	complexity	NOUN
easat-4929	501	20	of	of	ADP
easat-4929	501	21	the	the	DET
easat-4929	501	22	patient	patient	NOUN
easat-4929	501	23	's	's	PART
easat-4929	501	24	condition	condition	NOUN
easat-4929	501	25	in	in	ADP
easat-4929	501	26	predicting	predict	VERB
easat-4929	501	27	readmissions	readmission	NOUN
easat-4929	501	28	[	[	X
easat-4929	501	29	19	19	NUM
easat-4929	501	30	]	]	PUNCT
easat-4929	501	31	.	.	PUNCT
easat-4929	502	1	additionally	additionally	ADV
easat-4929	502	2	,	,	PUNCT
easat-4929	502	3	he	he	PRON
easat-4929	502	4	use	use	VERB
easat-4929	502	5	of	of	ADP
easat-4929	502	6	glipizide	glipizide	NOUN
easat-4929	502	7	was	be	AUX
easat-4929	502	8	associated	associate	VERB
easat-4929	502	9	with	with	ADP
easat-4929	502	10	a	a	DET
easat-4929	502	11	higher	high	ADJ
easat-4929	502	12	likelihood	likelihood	NOUN
easat-4929	502	13	of	of	ADP
easat-4929	502	14	readmission	readmission	NOUN
easat-4929	502	15	,	,	PUNCT
easat-4929	502	16	while	while	SCONJ
easat-4929	502	17	insulin	insulin	NOUN
easat-4929	502	18	use	use	NOUN
easat-4929	502	19	reduced	reduce	VERB
easat-4929	502	20	the	the	DET
easat-4929	502	21	risk	risk	NOUN
easat-4929	502	22	of	of	ADP
easat-4929	502	23	readmission	readmission	NOUN
easat-4929	502	24	.	.	PUNCT
easat-4929	503	1	this	this	PRON
easat-4929	503	2	might	might	AUX
easat-4929	503	3	suggest	suggest	VERB
easat-4929	503	4	that	that	SCONJ
easat-4929	503	5	patients	patient	NOUN
easat-4929	503	6	on	on	ADP
easat-4929	503	7	certain	certain	ADJ
easat-4929	503	8	medications	medication	NOUN
easat-4929	503	9	might	might	AUX
easat-4929	503	10	be	be	AUX
easat-4929	503	11	at	at	ADP
easat-4929	503	12	higher	high	ADJ
easat-4929	503	13	risk	risk	NOUN
easat-4929	503	14	of	of	ADP
easat-4929	503	15	readmission	readmission	NOUN
easat-4929	503	16	,	,	PUNCT
easat-4929	503	17	potentially	potentially	ADV
easat-4929	503	18	due	due	ADJ
easat-4929	503	19	to	to	ADP
easat-4929	503	20	underlying	underlie	VERB
easat-4929	503	21	health	health	NOUN
easat-4929	503	22	conditions	condition	NOUN
easat-4929	503	23	or	or	CCONJ
easat-4929	503	24	complications	complication	NOUN
easat-4929	503	25	associated	associate	VERB
easat-4929	503	26	with	with	ADP
easat-4929	503	27	their	their	PRON
easat-4929	503	28	treatment	treatment	NOUN
easat-4929	503	29	.	.	PUNCT
easat-4929	504	1	the	the	DET
easat-4929	504	2	study	study	NOUN
easat-4929	504	3	provides	provide	VERB
easat-4929	504	4	a	a	DET
easat-4929	504	5	comprehensive	comprehensive	ADJ
easat-4929	504	6	approach	approach	NOUN
easat-4929	504	7	to	to	ADP
easat-4929	504	8	data	datum	NOUN
easat-4929	504	9	pre	pre	ADJ
easat-4929	504	10	-	-	NOUN
easat-4929	504	11	processing	processing	NOUN
easat-4929	504	12	of	of	ADP
easat-4929	504	13	patients	patient	NOUN
easat-4929	504	14	’	'	PUNCT
easat-4929	504	15	healthcare	healthcare	NOUN
easat-4929	504	16	readmission	readmission	NOUN
easat-4929	504	17	data	datum	NOUN
easat-4929	504	18	.	.	PUNCT
easat-4929	505	1	a	a	DET
easat-4929	505	2	systematic	systematic	ADJ
easat-4929	505	3	approach	approach	NOUN
easat-4929	505	4	to	to	ADP
easat-4929	505	5	dealing	deal	VERB
easat-4929	505	6	with	with	ADP
easat-4929	505	7	missing	miss	VERB
easat-4929	505	8	values	value	NOUN
easat-4929	505	9	,	,	PUNCT
easat-4929	505	10	outliers	outlier	NOUN
easat-4929	505	11	,	,	PUNCT
easat-4929	505	12	and	and	CCONJ
easat-4929	505	13	categorical	categorical	ADJ
easat-4929	505	14	variables	variable	NOUN
easat-4929	505	15	ensured	ensure	VERB
easat-4929	505	16	that	that	SCONJ
easat-4929	505	17	the	the	DET
easat-4929	505	18	data	datum	NOUN
easat-4929	505	19	was	be	AUX
easat-4929	505	20	well	well	ADV
easat-4929	505	21	prepared	prepared	ADJ
easat-4929	505	22	for	for	ADP
easat-4929	505	23	modelling	modelling	NOUN
easat-4929	505	24	.	.	PUNCT
easat-4929	506	1	creating	create	VERB
easat-4929	506	2	new	new	ADJ
easat-4929	506	3	features	feature	NOUN
easat-4929	506	4	,	,	PUNCT
easat-4929	506	5	like	like	ADP
easat-4929	506	6	total	total	ADJ
easat-4929	506	7	visits	visit	NOUN
easat-4929	506	8	and	and	CCONJ
easat-4929	506	9	insulin	insulin	NOUN
easat-4929	506	10	treatment	treatment	NOUN
easat-4929	506	11	,	,	PUNCT
easat-4929	506	12	provided	provide	VERB
easat-4929	506	13	valuable	valuable	ADJ
easat-4929	506	14	insights	insight	NOUN
easat-4929	506	15	into	into	ADP
easat-4929	506	16	the	the	DET
easat-4929	506	17	predictors	predictor	NOUN
easat-4929	506	18	of	of	ADP
easat-4929	506	19	readmission	readmission	NOUN
easat-4929	506	20	.	.	PUNCT
easat-4929	507	1	the	the	DET
easat-4929	507	2	use	use	NOUN
easat-4929	507	3	of	of	ADP
easat-4929	507	4	smote	smote	NOUN
easat-4929	507	5	to	to	PART
easat-4929	507	6	address	address	VERB
easat-4929	507	7	class	class	NOUN
easat-4929	507	8	imbalance	imbalance	NOUN
easat-4929	507	9	was	be	AUX
easat-4929	507	10	important	important	ADJ
easat-4929	507	11	in	in	ADP
easat-4929	507	12	improving	improve	VERB
easat-4929	507	13	model	model	NOUN
easat-4929	507	14	performance	performance	NOUN
easat-4929	507	15	.	.	PUNCT
easat-4929	508	1	this	this	DET
easat-4929	508	2	technique	technique	NOUN
easat-4929	508	3	ensured	ensure	VERB
easat-4929	508	4	that	that	SCONJ
easat-4929	508	5	the	the	DET
easat-4929	508	6	model	model	NOUN
easat-4929	508	7	was	be	AUX
easat-4929	508	8	not	not	PART
easat-4929	508	9	biased	bias	VERB
easat-4929	508	10	towards	towards	ADP
easat-4929	508	11	the	the	DET
easat-4929	508	12	majority	majority	NOUN
easat-4929	508	13	class	class	NOUN
easat-4929	508	14	and	and	CCONJ
easat-4929	508	15	allowed	allow	VERB
easat-4929	508	16	for	for	ADP
easat-4929	508	17	better	well	ADJ
easat-4929	508	18	generalization	generalization	NOUN
easat-4929	508	19	to	to	ADP
easat-4929	508	20	minority	minority	NOUN
easat-4929	508	21	class	class	NOUN
easat-4929	508	22	predictions	prediction	NOUN
easat-4929	508	23	.	.	PUNCT
easat-4929	509	1	however	however	ADV
easat-4929	509	2	,	,	PUNCT
easat-4929	509	3	the	the	DET
easat-4929	509	4	research	research	NOUN
easat-4929	509	5	has	have	VERB
easat-4929	509	6	a	a	DET
easat-4929	509	7	number	number	NOUN
easat-4929	509	8	of	of	ADP
easat-4929	509	9	limitations	limitation	NOUN
easat-4929	509	10	,	,	PUNCT
easat-4929	509	11	such	such	ADJ
easat-4929	509	12	as	as	ADP
easat-4929	509	13	data	datum	NOUN
easat-4929	509	14	integrity	integrity	NOUN
easat-4929	509	15	,	,	PUNCT
easat-4929	509	16	computational	computational	ADJ
easat-4929	509	17	constrains	constrain	NOUN
easat-4929	509	18	,	,	PUNCT
easat-4929	509	19	clinical	clinical	ADJ
easat-4929	509	20	application	application	NOUN
easat-4929	509	21	problems	problem	NOUN
easat-4929	509	22	,	,	PUNCT
easat-4929	509	23	overfitting	overfitte	VERB
easat-4929	509	24	etc	etc	X
easat-4929	509	25	.	.	PUNCT
easat-4929	510	1	the	the	DET
easat-4929	510	2	dataset	dataset	NOUN
easat-4929	510	3	contained	contain	VERB
easat-4929	510	4	inconsistencies	inconsistency	NOUN
easat-4929	510	5	in	in	ADP
easat-4929	510	6	categorical	categorical	ADJ
easat-4929	510	7	features	feature	NOUN
easat-4929	510	8	and	and	CCONJ
easat-4929	510	9	significant	significant	ADJ
easat-4929	510	10	missing	missing	ADJ
easat-4929	510	11	data	datum	NOUN
easat-4929	510	12	.	.	PUNCT
easat-4929	511	1	imputing	impute	VERB
easat-4929	511	2	missing	miss	VERB
easat-4929	511	3	values	value	NOUN
easat-4929	511	4	may	may	AUX
easat-4929	511	5	introduce	introduce	VERB
easat-4929	511	6	bias	bias	NOUN
easat-4929	511	7	,	,	PUNCT
easat-4929	511	8	while	while	SCONJ
easat-4929	511	9	incomplete	incomplete	ADJ
easat-4929	511	10	data	datum	NOUN
easat-4929	511	11	may	may	AUX
easat-4929	511	12	limit	limit	VERB
easat-4929	511	13	the	the	DET
easat-4929	511	14	model	model	NOUN
easat-4929	511	15	's	's	PART
easat-4929	511	16	ability	ability	NOUN
easat-4929	511	17	to	to	PART
easat-4929	511	18	fully	fully	ADV
easat-4929	511	19	capture	capture	VERB
easat-4929	511	20	the	the	DET
easat-4929	511	21	factors	factor	NOUN
easat-4929	511	22	driving	drive	VERB
easat-4929	511	23	readmissions	readmission	NOUN
easat-4929	511	24	.	.	PUNCT
easat-4929	512	1	limited	limited	ADJ
easat-4929	512	2	computational	computational	ADJ
easat-4929	512	3	resources	resource	NOUN
easat-4929	512	4	restricted	restrict	VERB
easat-4929	512	5	the	the	DET
easat-4929	512	6	scope	scope	NOUN
easat-4929	512	7	of	of	ADP
easat-4929	512	8	hyperparameter	hyperparameter	NOUN
easat-4929	512	9	tuning	tuning	NOUN
easat-4929	512	10	and	and	CCONJ
easat-4929	512	11	model	model	NOUN
easat-4929	512	12	complexity	complexity	NOUN
easat-4929	512	13	.	.	PUNCT
easat-4929	513	1	while	while	SCONJ
easat-4929	513	2	randomized	randomize	VERB
easat-4929	513	3	search	search	NOUN
easat-4929	513	4	cv	cv	PROPN
easat-4929	513	5	was	be	AUX
easat-4929	513	6	used	use	VERB
easat-4929	513	7	,	,	PUNCT
easat-4929	513	8	more	more	ADV
easat-4929	513	9	exhaustive	exhaustive	ADJ
easat-4929	513	10	methods	method	NOUN
easat-4929	513	11	like	like	ADP
easat-4929	513	12	grid	grid	NOUN
easat-4929	513	13	search	search	PROPN
easat-4929	513	14	cv	cv	PROPN
easat-4929	513	15	were	be	AUX
easat-4929	513	16	not	not	PART
easat-4929	513	17	feasible	feasible	ADJ
easat-4929	513	18	.	.	PUNCT
easat-4929	514	1	the	the	DET
easat-4929	514	2	application	application	NOUN
easat-4929	514	3	of	of	ADP
easat-4929	514	4	smote	smote	NOUN
easat-4929	514	5	also	also	ADV
easat-4929	514	6	increased	increase	VERB
easat-4929	514	7	computational	computational	ADJ
easat-4929	514	8	demands	demand	NOUN
easat-4929	514	9	.	.	PUNCT
easat-4929	515	1	access	access	NOUN
easat-4929	515	2	to	to	ADP
easat-4929	515	3	better	well	ADJ
easat-4929	515	4	resources	resource	NOUN
easat-4929	515	5	could	could	AUX
easat-4929	515	6	allow	allow	VERB
easat-4929	515	7	for	for	ADP
easat-4929	515	8	deeper	deep	ADJ
easat-4929	515	9	optimization	optimization	NOUN
easat-4929	515	10	and	and	CCONJ
easat-4929	515	11	more	more	ADV
easat-4929	515	12	advanced	advanced	ADJ
easat-4929	515	13	models	model	NOUN
easat-4929	515	14	.	.	PUNCT
easat-4929	516	1	the	the	DET
easat-4929	516	2	models	model	NOUN
easat-4929	516	3	were	be	AUX
easat-4929	516	4	evaluated	evaluate	VERB
easat-4929	516	5	on	on	ADP
easat-4929	516	6	historical	historical	ADJ
easat-4929	516	7	data	datum	NOUN
easat-4929	516	8	but	but	CCONJ
easat-4929	516	9	not	not	PART
easat-4929	516	10	tested	test	VERB
easat-4929	516	11	in	in	ADP
easat-4929	516	12	live	live	ADJ
easat-4929	516	13	clinical	clinical	ADJ
easat-4929	516	14	settings	setting	NOUN
easat-4929	516	15	.	.	PUNCT
easat-4929	517	1	future	future	ADJ
easat-4929	517	2	work	work	NOUN
easat-4929	517	3	should	should	AUX
easat-4929	517	4	aim	aim	VERB
easat-4929	517	5	to	to	PART
easat-4929	517	6	integrate	integrate	VERB
easat-4929	517	7	these	these	DET
easat-4929	517	8	models	model	NOUN
easat-4929	517	9	into	into	ADP
easat-4929	517	10	healthcare	healthcare	NOUN
easat-4929	517	11	workflows	workflow	NOUN
easat-4929	517	12	,	,	PUNCT
easat-4929	517	13	providing	provide	VERB
easat-4929	517	14	real	real	ADJ
easat-4929	517	15	-	-	PUNCT
easat-4929	517	16	time	time	NOUN
easat-4929	517	17	decision	decision	NOUN
easat-4929	517	18	support	support	NOUN
easat-4929	517	19	for	for	ADP
easat-4929	517	20	healthcare	healthcare	NOUN
easat-4929	517	21	providers	provider	NOUN
easat-4929	517	22	.	.	PUNCT
easat-4929	518	1	the	the	DET
easat-4929	518	2	study	study	NOUN
easat-4929	518	3	lacked	lack	VERB
easat-4929	518	4	deep	deep	ADJ
easat-4929	518	5	clinical	clinical	ADJ
easat-4929	518	6	expertise	expertise	NOUN
easat-4929	518	7	,	,	PUNCT
easat-4929	518	8	especially	especially	ADV
easat-4929	518	9	concerning	concern	VERB
easat-4929	518	10	medication	medication	NOUN
easat-4929	518	11	variables	variable	NOUN
easat-4929	518	12	.	.	PUNCT
easat-4929	519	1	while	while	SCONJ
easat-4929	519	2	ml	ml	NOUN
easat-4929	519	3	models	model	NOUN
easat-4929	519	4	identified	identify	VERB
easat-4929	519	5	important	important	ADJ
easat-4929	519	6	patterns	pattern	NOUN
easat-4929	519	7	,	,	PUNCT
easat-4929	519	8	consulting	consult	VERB
easat-4929	519	9	with	with	ADP
easat-4929	519	10	medical	medical	ADJ
easat-4929	519	11	professionals	professional	NOUN
easat-4929	519	12	could	could	AUX
easat-4929	519	13	provide	provide	VERB
easat-4929	519	14	greater	great	ADJ
easat-4929	519	15	insight	insight	NOUN
easat-4929	519	16	into	into	ADP
easat-4929	519	17	clinical	clinical	ADJ
easat-4929	519	18	nuances	nuance	NOUN
easat-4929	519	19	,	,	PUNCT
easat-4929	519	20	improving	improve	VERB
easat-4929	519	21	the	the	DET
easat-4929	519	22	model	model	NOUN
easat-4929	519	23	’s	’s	PART
easat-4929	519	24	relevance	relevance	NOUN
easat-4929	519	25	.	.	PUNCT
easat-4929	520	1	there	there	PRON
easat-4929	520	2	appears	appear	VERB
easat-4929	520	3	to	to	PART
easat-4929	520	4	be	be	AUX
easat-4929	520	5	a	a	DET
easat-4929	520	6	great	great	ADJ
easat-4929	520	7	overfitting	overfitting	NOUN
easat-4929	520	8	in	in	ADP
easat-4929	520	9	models	model	NOUN
easat-4929	520	10	like	like	ADP
easat-4929	520	11	gradient	gradient	NOUN
easat-4929	520	12	boosting	boosting	NOUN
easat-4929	520	13	and	and	CCONJ
easat-4929	520	14	the	the	DET
easat-4929	520	15	xgboost	xgboost	NOUN
easat-4929	520	16	.	.	PUNCT
easat-4929	521	1	this	this	PRON
easat-4929	521	2	means	mean	VERB
easat-4929	521	3	that	that	SCONJ
easat-4929	521	4	the	the	DET
easat-4929	521	5	current	current	ADJ
easat-4929	521	6	feature	feature	NOUN
easat-4929	521	7	set	set	VERB
easat-4929	521	8	and	and	CCONJ
easat-4929	521	9	hyperparameters	hyperparameter	NOUN
easat-4929	521	10	have	have	AUX
easat-4929	521	11	not	not	PART
easat-4929	521	12	been	be	AUX
easat-4929	521	13	fully	fully	ADV
easat-4929	521	14	optimized	optimize	VERB
easat-4929	521	15	.	.	PUNCT
easat-4929	522	1	more	more	ADJ
easat-4929	522	2	work	work	NOUN
easat-4929	522	3	is	be	AUX
easat-4929	522	4	needed	need	VERB
easat-4929	522	5	on	on	ADP
easat-4929	522	6	these	these	DET
easat-4929	522	7	models	model	NOUN
easat-4929	522	8	so	so	SCONJ
easat-4929	522	9	that	that	SCONJ
easat-4929	522	10	they	they	PRON
easat-4929	522	11	do	do	AUX
easat-4929	522	12	not	not	PART
easat-4929	522	13	overfit	overfit	VERB
easat-4929	522	14	,	,	PUNCT
easat-4929	522	15	and	and	CCONJ
easat-4929	522	16	cross	cross	VERB
easat-4929	522	17	validate	validate	NOUN
easat-4929	522	18	with	with	ADP
easat-4929	522	19	the	the	DET
easat-4929	522	20	test	test	NOUN
easat-4929	522	21	set	set	VERB
easat-4929	522	22	more	more	ADV
easat-4929	522	23	effectively	effectively	ADV
easat-4929	522	24	improving	improve	VERB
easat-4929	522	25	their	their	PRON
easat-4929	522	26	performance	performance	NOUN
easat-4929	522	27	on	on	ADP
easat-4929	522	28	unseen	unseen	ADJ
easat-4929	522	29	data	datum	NOUN
easat-4929	522	30	.	.	PUNCT
easat-4929	523	1	5	5	X
easat-4929	523	2	.	.	X
easat-4929	523	3	conclusion	conclusion	NOUN
easat-4929	523	4	this	this	DET
easat-4929	523	5	research	research	NOUN
easat-4929	523	6	used	use	VERB
easat-4929	523	7	different	different	ADV
easat-4929	523	8	of	of	ADP
easat-4929	523	9	ml	ml	ADP
easat-4929	523	10	algorithms	algorithm	NOUN
easat-4929	523	11	like	like	ADP
easat-4929	523	12	lr	lr	NOUN
easat-4929	523	13	,	,	PUNCT
easat-4929	523	14	decision	decision	NOUN
easat-4929	523	15	tree	tree	NOUN
easat-4929	523	16	,	,	PUNCT
easat-4929	523	17	stochastic	stochastic	ADJ
easat-4929	523	18	gradient	gradient	ADJ
easat-4929	523	19	descent	descent	NOUN
easat-4929	523	20	(	(	PUNCT
easat-4929	523	21	sgd	sgd	PROPN
easat-4929	523	22	)	)	PUNCT
easat-4929	523	23	,	,	PUNCT
easat-4929	523	24	random	random	ADJ
easat-4929	523	25	forest	forest	NOUN
easat-4929	523	26	,	,	PUNCT
easat-4929	523	27	gradient	gradient	NOUN
easat-4929	523	28	boosting	boosting	NOUN
easat-4929	523	29	and	and	CCONJ
easat-4929	523	30	xgboost	xgboost	ADV
easat-4929	523	31	to	to	PART
easat-4929	523	32	predict	predict	VERB
easat-4929	523	33	hospital	hospital	NOUN
easat-4929	523	34	readmissions	readmission	NOUN
easat-4929	523	35	for	for	ADP
easat-4929	523	36	populations	population	NOUN
easat-4929	523	37	of	of	ADP
easat-4929	523	38	diabetic	diabetic	ADJ
easat-4929	523	39	patients	patient	NOUN
easat-4929	523	40	.	.	PUNCT
easat-4929	524	1	the	the	DET
easat-4929	524	2	results	result	NOUN
easat-4929	524	3	show	show	VERB
easat-4929	524	4	that	that	SCONJ
easat-4929	524	5	,	,	PUNCT
easat-4929	524	6	while	while	SCONJ
easat-4929	524	7	models	model	NOUN
easat-4929	524	8	like	like	ADP
easat-4929	524	9	stochastic	stochastic	ADJ
easat-4929	524	10	gradient	gradient	ADJ
easat-4929	524	11	descent	descent	NOUN
easat-4929	524	12	were	be	AUX
easat-4929	524	13	moderately	moderately	ADV
easat-4929	524	14	performing	perform	VERB
easat-4929	524	15	,	,	PUNCT
easat-4929	524	16	the	the	DET
easat-4929	524	17	more	more	ADV
easat-4929	524	18	complex	complex	ADJ
easat-4929	524	19	algorithms	algorithm	NOUN
easat-4929	524	20	like	like	ADP
easat-4929	524	21	gradient	gradient	NOUN
easat-4929	524	22	boosting	boosting	NOUN
easat-4929	524	23	and	and	CCONJ
easat-4929	524	24	xgboost	xgboost	NOUN
easat-4929	524	25	had	have	VERB
easat-4929	524	26	a	a	DET
easat-4929	524	27	tendency	tendency	NOUN
easat-4929	524	28	to	to	PART
easat-4929	524	29	overfit	overfit	VERB
easat-4929	524	30	.	.	PUNCT
easat-4929	525	1	most	most	ADJ
easat-4929	525	2	of	of	ADP
easat-4929	525	3	this	this	DET
easat-4929	525	4	work	work	NOUN
easat-4929	525	5	addressed	address	VERB
easat-4929	525	6	data	datum	NOUN
easat-4929	525	7	problems	problem	NOUN
easat-4929	525	8	like	like	ADP
easat-4929	525	9	class	class	NOUN
easat-4929	525	10	imbalance	imbalance	NOUN
easat-4929	525	11	through	through	ADP
easat-4929	525	12	smote	smote	PROPN
easat-4929	525	13	1828	1828	PROPN
easat-4929	525	14	edelweiss	edelweiss	PROPN
easat-4929	525	15	applied	apply	VERB
easat-4929	525	16	science	science	NOUN
easat-4929	525	17	and	and	CCONJ
easat-4929	525	18	technology	technology	NOUN
easat-4929	525	19	issn	issn	PROPN
easat-4929	525	20	:	:	PUNCT
easat-4929	525	21	2576	2576	NUM
easat-4929	525	22	-	-	SYM
easat-4929	525	23	8484	8484	NUM
easat-4929	525	24	vol	vol	NOUN
easat-4929	525	25	.	.	PROPN
easat-4929	526	1	9	9	NUM
easat-4929	526	2	,	,	PUNCT
easat-4929	526	3	no	no	INTJ
easat-4929	526	4	.	.	NOUN
easat-4929	526	5	2	2	NUM
easat-4929	526	6	:	:	SYM
easat-4929	526	7	1803	1803	NUM
easat-4929	526	8	-	-	SYM
easat-4929	526	9	1829	1829	NUM
easat-4929	526	10	,	,	PUNCT
easat-4929	526	11	2025	2025	NUM
easat-4929	526	12	doi	doi	NOUN
easat-4929	526	13	:	:	PUNCT
easat-4929	526	14	10.55214/25768484.v9i2.4929	10.55214/25768484.v9i2.4929	NUM
easat-4929	526	15	©	©	PROPN
easat-4929	526	16	2025	2025	NUM
easat-4929	526	17	by	by	ADP
easat-4929	526	18	the	the	DET
easat-4929	526	19	authors	author	NOUN
easat-4929	526	20	;	;	PUNCT
easat-4929	526	21	licensee	licensee	PROPN
easat-4929	526	22	learning	learning	NOUN
easat-4929	526	23	gate	gate	NOUN
easat-4929	526	24	and	and	CCONJ
easat-4929	526	25	creating	create	VERB
easat-4929	526	26	engineering	engineer	VERB
easat-4929	526	27	meaningful	meaningful	ADJ
easat-4929	526	28	new	new	ADJ
easat-4929	526	29	features	feature	NOUN
easat-4929	526	30	.	.	PUNCT
easat-4929	527	1	even	even	ADV
easat-4929	527	2	though	though	SCONJ
easat-4929	527	3	these	these	DET
easat-4929	527	4	efforts	effort	NOUN
easat-4929	527	5	improved	improve	VERB
easat-4929	527	6	model	model	NOUN
easat-4929	527	7	performance	performance	NOUN
easat-4929	527	8	,	,	PUNCT
easat-4929	527	9	further	further	ADJ
easat-4929	527	10	refinement	refinement	NOUN
easat-4929	527	11	,	,	PUNCT
easat-4929	527	12	and	and	CCONJ
easat-4929	527	13	tuning	tuning	NOUN
easat-4929	527	14	are	be	AUX
easat-4929	527	15	necessary	necessary	ADJ
easat-4929	527	16	to	to	PART
easat-4929	527	17	ensure	ensure	VERB
easat-4929	527	18	the	the	DET
easat-4929	527	19	models	model	NOUN
easat-4929	527	20	generalize	generalize	VERB
easat-4929	527	21	well	well	ADV
easat-4929	527	22	on	on	ADP
easat-4929	527	23	unseen	unseen	ADJ
easat-4929	527	24	data	datum	NOUN
easat-4929	527	25	.	.	PUNCT
easat-4929	528	1	despite	despite	SCONJ
easat-4929	528	2	data	datum	NOUN
easat-4929	528	3	quality	quality	NOUN
easat-4929	528	4	,	,	PUNCT
easat-4929	528	5	computational	computational	ADJ
easat-4929	528	6	resources	resource	NOUN
easat-4929	528	7	,	,	PUNCT
easat-4929	528	8	and	and	CCONJ
easat-4929	528	9	overfitting	overfitte	VERB
easat-4929	528	10	limitations	limitation	NOUN
easat-4929	528	11	,	,	PUNCT
easat-4929	528	12	ml	ml	AUX
easat-4929	528	13	approaches	approach	NOUN
easat-4929	528	14	show	show	VERB
easat-4929	528	15	promising	promise	VERB
easat-4929	528	16	results	result	NOUN
easat-4929	528	17	in	in	ADP
easat-4929	528	18	improving	improve	VERB
easat-4929	528	19	discharge	discharge	NOUN
easat-4929	528	20	protocols	protocol	NOUN
easat-4929	528	21	and	and	CCONJ
easat-4929	528	22	patient	patient	ADJ
easat-4929	528	23	outcomes	outcome	NOUN
easat-4929	528	24	.	.	PUNCT
easat-4929	529	1	future	future	ADJ
easat-4929	529	2	research	research	NOUN
easat-4929	529	3	should	should	AUX
easat-4929	529	4	not	not	PART
easat-4929	529	5	only	only	ADV
easat-4929	529	6	focus	focus	VERB
easat-4929	529	7	on	on	ADP
easat-4929	529	8	real	real	ADJ
easat-4929	529	9	-	-	PUNCT
easat-4929	529	10	world	world	NOUN
easat-4929	529	11	clinical	clinical	ADJ
easat-4929	529	12	applications	application	NOUN
easat-4929	529	13	but	but	CCONJ
easat-4929	529	14	also	also	ADV
easat-4929	529	15	explore	explore	VERB
easat-4929	529	16	more	more	ADV
easat-4929	529	17	advanced	advanced	ADJ
easat-4929	529	18	models	model	NOUN
easat-4929	529	19	,	,	PUNCT
easat-4929	529	20	including	include	VERB
easat-4929	529	21	deep	deep	ADJ
easat-4929	529	22	learning	learning	NOUN
easat-4929	529	23	,	,	PUNCT
easat-4929	529	24	and	and	CCONJ
easat-4929	529	25	apply	apply	VERB
easat-4929	529	26	these	these	DET
easat-4929	529	27	approaches	approach	NOUN
easat-4929	529	28	to	to	ADP
easat-4929	529	29	other	other	ADJ
easat-4929	529	30	chronic	chronic	ADJ
easat-4929	529	31	conditions	condition	NOUN
easat-4929	529	32	like	like	ADP
easat-4929	529	33	heart	heart	NOUN
easat-4929	529	34	disease	disease	NOUN
easat-4929	529	35	and	and	CCONJ
easat-4929	529	36	lung	lung	NOUN
easat-4929	529	37	disorders	disorder	NOUN
easat-4929	529	38	.	.	PUNCT
easat-4929	530	1	collaboration	collaboration	NOUN
easat-4929	530	2	with	with	ADP
easat-4929	530	3	healthcare	healthcare	NOUN
easat-4929	530	4	professionals	professional	NOUN
easat-4929	530	5	will	will	AUX
easat-4929	530	6	be	be	AUX
easat-4929	530	7	crucial	crucial	ADJ
easat-4929	530	8	in	in	ADP
easat-4929	530	9	transforming	transform	VERB
easat-4929	530	10	these	these	DET
easat-4929	530	11	findings	finding	NOUN
easat-4929	530	12	into	into	ADP
easat-4929	530	13	practical	practical	ADJ
easat-4929	530	14	tools	tool	NOUN
easat-4929	530	15	for	for	ADP
easat-4929	530	16	predicting	predict	VERB
easat-4929	530	17	readmissions	readmission	NOUN
easat-4929	530	18	and	and	CCONJ
easat-4929	530	19	improving	improve	VERB
easat-4929	530	20	diabetic	diabetic	ADJ
easat-4929	530	21	patient	patient	ADJ
easat-4929	530	22	care	care	NOUN
easat-4929	530	23	.	.	PUNCT
easat-4929	531	1	transparency	transparency	NOUN
easat-4929	531	2	:	:	PUNCT
easat-4929	531	3	the	the	DET
easat-4929	531	4	authors	author	NOUN
easat-4929	531	5	confirm	confirm	VERB
easat-4929	531	6	that	that	SCONJ
easat-4929	531	7	the	the	DET
easat-4929	531	8	manuscript	manuscript	NOUN
easat-4929	531	9	is	be	AUX
easat-4929	531	10	an	an	DET
easat-4929	531	11	honest	honest	ADJ
easat-4929	531	12	,	,	PUNCT
easat-4929	531	13	accurate	accurate	ADJ
easat-4929	531	14	,	,	PUNCT
easat-4929	531	15	and	and	CCONJ
easat-4929	531	16	transparent	transparent	ADJ
easat-4929	531	17	account	account	NOUN
easat-4929	531	18	of	of	ADP
easat-4929	531	19	the	the	DET
easat-4929	531	20	study	study	NOUN
easat-4929	531	21	;	;	PUNCT
easat-4929	531	22	that	that	SCONJ
easat-4929	531	23	no	no	DET
easat-4929	531	24	vital	vital	ADJ
easat-4929	531	25	features	feature	NOUN
easat-4929	531	26	of	of	ADP
easat-4929	531	27	the	the	DET
easat-4929	531	28	study	study	NOUN
easat-4929	531	29	have	have	AUX
easat-4929	531	30	been	be	AUX
easat-4929	531	31	omitted	omit	VERB
easat-4929	531	32	;	;	PUNCT
easat-4929	531	33	and	and	CCONJ
easat-4929	531	34	that	that	SCONJ
easat-4929	531	35	any	any	DET
easat-4929	531	36	discrepancies	discrepancy	NOUN
easat-4929	531	37	from	from	ADP
easat-4929	531	38	the	the	DET
easat-4929	531	39	study	study	NOUN
easat-4929	531	40	as	as	SCONJ
easat-4929	531	41	planned	plan	VERB
easat-4929	531	42	have	have	AUX
easat-4929	531	43	been	be	AUX
easat-4929	531	44	explained	explain	VERB
easat-4929	531	45	.	.	PUNCT
easat-4929	532	1	this	this	DET
easat-4929	532	2	study	study	NOUN
easat-4929	532	3	followed	follow	VERB
easat-4929	532	4	all	all	DET
easat-4929	532	5	ethical	ethical	ADJ
easat-4929	532	6	practices	practice	NOUN
easat-4929	532	7	during	during	ADP
easat-4929	532	8	writing	writing	NOUN
easat-4929	532	9	.	.	PUNCT
easat-4929	533	1	copyright	copyright	NOUN
easat-4929	533	2	:	:	PUNCT
easat-4929	533	3	©	©	PROPN
easat-4929	533	4	2025	2025	NUM
easat-4929	533	5	by	by	ADP
easat-4929	533	6	the	the	DET
easat-4929	533	7	authors	author	NOUN
easat-4929	533	8	.	.	PUNCT
easat-4929	534	1	this	this	DET
easat-4929	534	2	open	open	ADJ
easat-4929	534	3	-	-	PUNCT
easat-4929	534	4	access	access	NOUN
easat-4929	534	5	article	article	NOUN
easat-4929	534	6	is	be	AUX
easat-4929	534	7	distributed	distribute	VERB
easat-4929	534	8	under	under	ADP
easat-4929	534	9	the	the	DET
easat-4929	534	10	terms	term	NOUN
easat-4929	534	11	and	and	CCONJ
easat-4929	534	12	conditions	condition	NOUN
easat-4929	534	13	of	of	ADP
easat-4929	534	14	the	the	DET
easat-4929	534	15	creative	creative	ADJ
easat-4929	534	16	commons	common	NOUN
easat-4929	534	17	attribution	attribution	NOUN
easat-4929	534	18	(	(	PUNCT
easat-4929	534	19	cc	cc	NOUN
easat-4929	534	20	by	by	ADP
easat-4929	534	21	)	)	PUNCT
easat-4929	534	22	license	license	NOUN
easat-4929	534	23	(	(	PUNCT
easat-4929	534	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-4929	534	25	)	)	PUNCT
easat-4929	534	26	.	.	PUNCT
easat-4929	535	1	references	reference	NOUN
easat-4929	535	2	[	[	X
easat-4929	535	3	1	1	NUM
easat-4929	535	4	]	]	PUNCT
easat-4929	535	5	i.	i.	PROPN
easat-4929	535	6	d.	d.	PROPN
easat-4929	535	7	federation	federation	PROPN
easat-4929	535	8	,	,	PUNCT
easat-4929	535	9	"	"	PUNCT
easat-4929	535	10	idf	idf	PROPN
easat-4929	535	11	diabetes	diabetes	NOUN
easat-4929	535	12	atlas	atlas	PROPN
easat-4929	535	13	,	,	PUNCT
easat-4929	535	14	"	"	PUNCT
easat-4929	535	15	retrieved	retrieve	VERB
easat-4929	535	16	:	:	PUNCT
easat-4929	535	17	https://diabetesatlas.org/	https://diabetesatlas.org/	NOUN
easat-4929	535	18	,	,	PUNCT
easat-4929	535	19	2022	2022	NUM
easat-4929	535	20	.	.	PUNCT
easat-4929	536	1	[	[	X
easat-4929	536	2	2	2	NUM
easat-4929	536	3	]	]	PUNCT
easat-4929	536	4	i.	i.	PROPN
easat-4929	536	5	d.	d.	PROPN
easat-4929	536	6	federation	federation	PROPN
easat-4929	536	7	,	,	PUNCT
easat-4929	536	8	diabetes	diabete	VERB
easat-4929	536	9	facts	fact	NOUN
easat-4929	536	10	and	and	CCONJ
easat-4929	536	11	figures	figure	NOUN
easat-4929	536	12	.	.	PUNCT
easat-4929	537	1	international	international	ADJ
easat-4929	537	2	diabetes	diabetes	PROPN
easat-4929	537	3	federation	federation	NOUN
easat-4929	537	4	.	.	PUNCT
easat-4929	538	1	https://idf.org/about-diabetes/diabetesfacts-figures	https://idf.org/about-diabetes/diabetesfacts-figure	NOUN
easat-4929	538	2	,	,	PUNCT
easat-4929	538	3	2024	2024	NUM
easat-4929	538	4	.	.	PUNCT
easat-4929	539	1	[	[	X
easat-4929	539	2	3	3	X
easat-4929	539	3	]	]	X
easat-4929	539	4	h.	h.	PROPN
easat-4929	539	5	r.	r.	PROPN
easat-4929	539	6	solutions	solutions	PROPN
easat-4929	539	7	,	,	PUNCT
easat-4929	539	8	"	"	PUNCT
easat-4929	539	9	the	the	DET
easat-4929	539	10	hospital	hospital	NOUN
easat-4929	539	11	readmission	readmission	NOUN
easat-4929	539	12	reduction	reduction	NOUN
easat-4929	539	13	program	program	NOUN
easat-4929	539	14	:	:	PUNCT
easat-4929	539	15	an	an	DET
easat-4929	539	16	overview	overview	NOUN
easat-4929	539	17	,	,	PUNCT
easat-4929	539	18	"	"	PUNCT
easat-4929	539	19	retrieved	retrieve	VERB
easat-4929	539	20	:	:	PUNCT
easat-4929	539	21	https://www.healthrecoverysolutions.com/blog/the-hospital-readmission-reduction-program-an-overview	https://www.healthrecoverysolutions.com/blog/the-hospital-readmission-reduction-program-an-overview	NOUN
easat-4929	539	22	,	,	PUNCT
easat-4929	539	23	2023	2023	NUM
easat-4929	539	24	.	.	PUNCT
easat-4929	540	1	[	[	X
easat-4929	540	2	4	4	NUM
easat-4929	540	3	]	]	X
easat-4929	540	4	c.	c.	PROPN
easat-4929	540	5	m.	m.	PROPN
easat-4929	540	6	services	services	PROPN
easat-4929	540	7	,	,	PUNCT
easat-4929	540	8	"	"	PUNCT
easat-4929	540	9	hospital	hospital	NOUN
easat-4929	540	10	readmissions	readmission	NOUN
easat-4929	540	11	reduction	reduction	NOUN
easat-4929	540	12	program	program	NOUN
easat-4929	540	13	(	(	PUNCT
easat-4929	540	14	hrrp	hrrp	PROPN
easat-4929	540	15	)	)	PUNCT
easat-4929	540	16	,	,	PUNCT
easat-4929	540	17	centers	center	NOUN
easat-4929	540	18	for	for	ADP
easat-4929	540	19	medicare	medicare	PROPN
easat-4929	540	20	&	&	CCONJ
easat-4929	540	21	medicaid	medicaid	PROPN
easat-4929	540	22	services	services	PROPN
easat-4929	540	23	,	,	PUNCT
easat-4929	540	24	"	"	PUNCT
easat-4929	540	25	retrieved	retrieve	VERB
easat-4929	540	26	:	:	PUNCT
easat-4929	540	27	https://www.cms.gov/medicare/quality/value-based-programs/hospital-readmissions	https://www.cms.gov/medicare/quality/value-based-programs/hospital-readmission	NOUN
easat-4929	540	28	.	.	PUNCT
easat-4929	541	1	[	[	X
easat-4929	541	2	accessed	access	VERB
easat-4929	541	3	10	10	NUM
easat-4929	541	4	september	september	PROPN
easat-4929	541	5	2024	2024	NUM
easat-4929	541	6	]	]	PUNCT
easat-4929	541	7	,	,	PUNCT
easat-4929	541	8	2024	2024	NUM
easat-4929	541	9	.	.	PUNCT
easat-4929	542	1	[	[	X
easat-4929	542	2	5	5	X
easat-4929	542	3	]	]	PUNCT
easat-4929	542	4	s.	s.	PROPN
easat-4929	542	5	ostling	ostling	PROPN
easat-4929	542	6	et	et	PROPN
easat-4929	542	7	al	al	PROPN
easat-4929	542	8	.	.	PROPN
easat-4929	542	9	,	,	PUNCT
easat-4929	542	10	"	"	PUNCT
easat-4929	542	11	the	the	DET
easat-4929	542	12	relationship	relationship	NOUN
easat-4929	542	13	between	between	ADP
easat-4929	542	14	diabetes	diabetes	NOUN
easat-4929	542	15	mellitus	mellitus	NOUN
easat-4929	542	16	and	and	CCONJ
easat-4929	542	17	30	30	NUM
easat-4929	542	18	-	-	PUNCT
easat-4929	542	19	day	day	NOUN
easat-4929	542	20	readmission	readmission	NOUN
easat-4929	542	21	rates	rate	NOUN
easat-4929	542	22	,	,	PUNCT
easat-4929	542	23	"	"	PUNCT
easat-4929	542	24	clinical	clinical	ADJ
easat-4929	542	25	diabetes	diabetes	NOUN
easat-4929	542	26	and	and	CCONJ
easat-4929	542	27	endocrinology	endocrinology	NOUN
easat-4929	542	28	,	,	PUNCT
easat-4929	542	29	vol	vol	NOUN
easat-4929	542	30	.	.	PROPN
easat-4929	542	31	3	3	NUM
easat-4929	542	32	,	,	PUNCT
easat-4929	542	33	pp	pp	ADJ
easat-4929	542	34	.	.	PUNCT
easat-4929	543	1	1	1	NUM
easat-4929	543	2	-	-	SYM
easat-4929	543	3	8	8	NUM
easat-4929	543	4	,	,	PUNCT
easat-4929	543	5	2017	2017	NUM
easat-4929	543	6	.	.	PUNCT
easat-4929	544	1	https://doi.org/10.1186/s40842-016-0040-x	https://doi.org/10.1186/s40842-016-0040-x	VERB
easat-4929	544	2	[	[	X
easat-4929	544	3	6	6	NUM
easat-4929	544	4	]	]	PUNCT
easat-4929	544	5	h.	h.	PROPN
easat-4929	544	6	j.	j.	PROPN
easat-4929	544	7	j.	j.	PROPN
easat-4929	544	8	audrey	audrey	PROPN
easat-4929	544	9	and	and	CCONJ
easat-4929	544	10	j.	j.	PROPN
easat-4929	544	11	weiss	weiss	PROPN
easat-4929	544	12	,	,	PUNCT
easat-4929	544	13	"	"	PUNCT
easat-4929	544	14	overview	overview	NOUN
easat-4929	544	15	of	of	ADP
easat-4929	544	16	clinical	clinical	ADJ
easat-4929	544	17	conditions	condition	NOUN
easat-4929	544	18	with	with	ADP
easat-4929	544	19	frequent	frequent	ADJ
easat-4929	544	20	and	and	CCONJ
easat-4929	544	21	costly	costly	ADJ
easat-4929	544	22	hospital	hospital	NOUN
easat-4929	544	23	readmissions	readmission	NOUN
easat-4929	544	24	by	by	ADP
easat-4929	544	25	payer	payer	NOUN
easat-4929	544	26	,	,	PUNCT
easat-4929	544	27	2018	2018	NUM
easat-4929	544	28	,	,	PUNCT
easat-4929	544	29	"	"	PUNCT
easat-4929	544	30	retrieved	retrieve	VERB
easat-4929	544	31	:	:	PUNCT
easat-4929	544	32	https://hcup-us.ahrq.gov/reports/statbriefs/sb278-conditions-frequent-readmissions-bypayer-2018.jsp	https://hcup-us.ahrq.gov/reports/statbriefs/sb278-conditions-frequent-readmissions-bypayer-2018.jsp	PROPN
easat-4929	544	33	.	.	PUNCT
easat-4929	545	1	[	[	X
easat-4929	545	2	accessed	access	VERB
easat-4929	545	3	18	18	NUM
easat-4929	545	4	february	february	NOUN
easat-4929	545	5	2025	2025	NUM
easat-4929	545	6	]	]	PUNCT
easat-4929	545	7	,	,	PUNCT
easat-4929	545	8	2021	2021	NUM
easat-4929	545	9	.	.	PUNCT
easat-4929	546	1	[	[	X
easat-4929	546	2	7	7	X
easat-4929	546	3	]	]	X
easat-4929	546	4	d.	d.	PROPN
easat-4929	546	5	j.	j.	PROPN
easat-4929	546	6	rubin	rubin	PROPN
easat-4929	546	7	,	,	PUNCT
easat-4929	546	8	"	"	PUNCT
easat-4929	546	9	correction	correction	NOUN
easat-4929	546	10	to	to	ADP
easat-4929	546	11	:	:	PUNCT
easat-4929	546	12	hospital	hospital	NOUN
easat-4929	546	13	readmission	readmission	NOUN
easat-4929	546	14	of	of	ADP
easat-4929	546	15	patients	patient	NOUN
easat-4929	546	16	with	with	ADP
easat-4929	546	17	diabetes	diabetes	NOUN
easat-4929	546	18	,	,	PUNCT
easat-4929	546	19	"	"	PUNCT
easat-4929	546	20	current	current	ADJ
easat-4929	546	21	diabetes	diabetes	NOUN
easat-4929	546	22	reports	report	NOUN
easat-4929	546	23	,	,	PUNCT
easat-4929	546	24	vol	vol	NOUN
easat-4929	546	25	.	.	PROPN
easat-4929	546	26	18	18	NUM
easat-4929	546	27	,	,	PUNCT
easat-4929	546	28	no	no	INTJ
easat-4929	546	29	.	.	NOUN
easat-4929	546	30	4	4	NUM
easat-4929	546	31	,	,	PUNCT
easat-4929	546	32	2018	2018	NUM
easat-4929	546	33	.	.	PUNCT
easat-4929	547	1	https://doi.org/10.1007/s11892-018-1035-z	https://doi.org/10.1007/s11892-018-1035-z	PROPN
easat-4929	548	1	[	[	X
easat-4929	548	2	8	8	NUM
easat-4929	548	3	]	]	X
easat-4929	548	4	i.	i.	PROPN
easat-4929	548	5	goodfellow	goodfellow	PROPN
easat-4929	548	6	,	,	PUNCT
easat-4929	548	7	y.	y.	PROPN
easat-4929	548	8	bengio	bengio	PROPN
easat-4929	548	9	,	,	PUNCT
easat-4929	548	10	and	and	CCONJ
easat-4929	548	11	a.	a.	NOUN
easat-4929	548	12	courville	courville	NOUN
easat-4929	548	13	,	,	PUNCT
easat-4929	548	14	deep	deep	ADJ
easat-4929	548	15	learning	learning	NOUN
easat-4929	548	16	.	.	PUNCT
easat-4929	549	1	cambridge	cambridge	PROPN
easat-4929	549	2	,	,	PUNCT
easat-4929	549	3	massachusetts	massachusetts	PROPN
easat-4929	549	4	:	:	PUNCT
easat-4929	549	5	mit	mit	NOUN
easat-4929	549	6	press	press	NOUN
easat-4929	549	7	.	.	PUNCT
easat-4929	550	1	https://doi.org/10.1007/s10710-017-9314-z	https://doi.org/10.1007/s10710-017-9314-z	PROPN
easat-4929	550	2	2016	2016	NUM
easat-4929	550	3	.	.	PUNCT
easat-4929	551	1	[	[	X
easat-4929	551	2	9	9	NUM
easat-4929	551	3	]	]	PUNCT
easat-4929	551	4	k.	k.	PROPN
easat-4929	552	1	p.	p.	PROPN
easat-4929	552	2	murphy	murphy	PROPN
easat-4929	552	3	,	,	PUNCT
easat-4929	552	4	probabilistic	probabilistic	ADJ
easat-4929	552	5	machine	machine	NOUN
easat-4929	552	6	learning	learning	NOUN
easat-4929	552	7	:	:	PUNCT
easat-4929	552	8	an	an	DET
easat-4929	552	9	introduction	introduction	NOUN
easat-4929	552	10	.	.	PUNCT
easat-4929	553	1	cambridge	cambridge	PROPN
easat-4929	553	2	:	:	PUNCT
easat-4929	553	3	mit	mit	PROPN
easat-4929	553	4	press	press	NOUN
easat-4929	553	5	,	,	PUNCT
easat-4929	553	6	2022	2022	NUM
easat-4929	553	7	.	.	PUNCT
easat-4929	554	1	[	[	X
easat-4929	554	2	10	10	NUM
easat-4929	554	3	]	]	X
easat-4929	554	4	i.	i.	PROPN
easat-4929	554	5	university	university	PROPN
easat-4929	554	6	of	of	ADP
easat-4929	554	7	california	california	PROPN
easat-4929	554	8	,	,	PUNCT
easat-4929	554	9	uci	uci	PROPN
easat-4929	554	10	machine	machine	NOUN
easat-4929	554	11	learning	learn	VERB
easat-4929	554	12	repository	repository	NOUN
easat-4929	554	13	.	.	PUNCT
easat-4929	555	1	diabetes	diabetes	NOUN
easat-4929	555	2	130	130	NUM
easat-4929	555	3	-	-	PUNCT
easat-4929	555	4	us	we	PRON
easat-4929	555	5	hospitals	hospital	NOUN
easat-4929	555	6	for	for	ADP
easat-4929	555	7	years	year	NOUN
easat-4929	555	8	1999–2008	1999–2008	NUM
easat-4929	555	9	dataset	dataset	NOUN
easat-4929	555	10	.	.	PUNCT
easat-4929	556	1	uc	uc	PROPN
easat-4929	556	2	irvine	irvine	PROPN
easat-4929	556	3	machine	machine	NOUN
easat-4929	556	4	learning	learn	VERB
easat-4929	556	5	repository	repository	NOUN
easat-4929	556	6	.	.	PUNCT
easat-4929	557	1	https://archive.ics.uci.edu/ml/datasets/diabetes+130us+hospitals+for+years+1999-2008	https://archive.ics.uci.edu/ml/datasets/diabetes+130us+hospitals+for+years+1999-2008	NOUN
easat-4929	557	2	,	,	PUNCT
easat-4929	557	3	2014	2014	NUM
easat-4929	557	4	.	.	PUNCT
easat-4929	558	1	[	[	X
easat-4929	558	2	11	11	NUM
easat-4929	558	3	]	]	PUNCT
easat-4929	558	4	a.	a.	NOUN
easat-4929	558	5	géron	géron	NOUN
easat-4929	558	6	,	,	PUNCT
easat-4929	558	7	hands	hand	NOUN
easat-4929	558	8	-	-	PUNCT
easat-4929	558	9	on	on	ADP
easat-4929	558	10	machine	machine	NOUN
easat-4929	558	11	learning	learn	VERB
easat-4929	558	12	with	with	ADP
easat-4929	558	13	scikit	scikit	NOUN
easat-4929	558	14	-	-	PUNCT
easat-4929	558	15	learn	learn	PROPN
easat-4929	558	16	,	,	PUNCT
easat-4929	558	17	keras	keras	PROPN
easat-4929	558	18	,	,	PUNCT
easat-4929	558	19	and	and	CCONJ
easat-4929	558	20	tensorflow	tensorflow	NOUN
easat-4929	558	21	.	.	PUNCT
easat-4929	559	1	o’reilly	o’reilly	ADV
easat-4929	559	2	media	medium	NOUN
easat-4929	559	3	,	,	PUNCT
easat-4929	559	4	inc	inc	PROPN
easat-4929	559	5	.	.	PROPN
easat-4929	559	6	https://doi.org/10.1007/s13246-020-00913-z	https://doi.org/10.1007/s13246-020-00913-z	PROPN
easat-4929	559	7	,	,	PUNCT
easat-4929	559	8	2019	2019	NUM
easat-4929	559	9	.	.	PUNCT
easat-4929	560	1	[	[	X
easat-4929	560	2	12	12	NUM
easat-4929	560	3	]	]	PUNCT
easat-4929	560	4	z.	z.	PROPN
easat-4929	560	5	tafa	tafa	PROPN
easat-4929	560	6	,	,	PUNCT
easat-4929	560	7	"	"	PUNCT
easat-4929	560	8	concurrent	concurrent	ADJ
easat-4929	560	9	implementation	implementation	NOUN
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easat-4929	560	14	in	in	ADP
easat-4929	560	15	disease	disease	NOUN
easat-4929	560	16	detection	detection	NOUN
easat-4929	560	17	,	,	PUNCT
easat-4929	560	18	"	"	PUNCT
easat-4929	560	19	journal	journal	NOUN
easat-4929	560	20	of	of	ADP
easat-4929	560	21	advances	advance	NOUN
easat-4929	560	22	in	in	ADP
easat-4929	560	23	information	information	NOUN
easat-4929	560	24	technology	technology	NOUN
easat-4929	560	25	,	,	PUNCT
easat-4929	560	26	vol	vol	NOUN
easat-4929	560	27	.	.	PROPN
easat-4929	560	28	7	7	NUM
easat-4929	560	29	,	,	PUNCT
easat-4929	560	30	no	no	INTJ
easat-4929	560	31	.	.	NOUN
easat-4929	560	32	2	2	NUM
easat-4929	560	33	,	,	PUNCT
easat-4929	560	34	pp	pp	ADJ
easat-4929	560	35	.	.	PUNCT
easat-4929	561	1	124–128	124–128	NUM
easat-4929	561	2	,	,	PUNCT
easat-4929	561	3	2016	2016	NUM
easat-4929	561	4	.	.	PUNCT
easat-4929	562	1	https://doi.org/10.12720/jait.7.2.124-128	https://doi.org/10.12720/jait.7.2.124-128	VERB
easat-4929	563	1	[	[	X
easat-4929	563	2	13	13	NUM
easat-4929	563	3	]	]	PUNCT
easat-4929	563	4	j.	j.	PROPN
easat-4929	563	5	s.	s.	PROPN
easat-4929	563	6	weissman	weissman	PROPN
easat-4929	563	7	,	,	PUNCT
easat-4929	563	8	j.	j.	PROPN
easat-4929	563	9	z.	z.	PROPN
easat-4929	563	10	ayanian	ayanian	PROPN
easat-4929	563	11	,	,	PUNCT
easat-4929	563	12	s.	s.	PROPN
easat-4929	563	13	chasan	chasan	PROPN
easat-4929	563	14	-	-	PUNCT
easat-4929	563	15	taber	taber	PROPN
easat-4929	563	16	,	,	PUNCT
easat-4929	563	17	m.	m.	NOUN
easat-4929	563	18	j.	j.	PROPN
easat-4929	563	19	sherwood	sherwood	PROPN
easat-4929	563	20	,	,	PUNCT
easat-4929	563	21	c.	c.	PROPN
easat-4929	563	22	roth	roth	PROPN
easat-4929	563	23	,	,	PUNCT
easat-4929	563	24	and	and	CCONJ
easat-4929	563	25	a.	a.	PROPN
easat-4929	563	26	m.	m.	PROPN
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easat-4929	563	28	,	,	PUNCT
easat-4929	563	29	"	"	PUNCT
easat-4929	563	30	hospital	hospital	NOUN
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easat-4929	563	35	care	care	NOUN
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easat-4929	563	37	"	"	PUNCT
easat-4929	563	38	medical	medical	ADJ
easat-4929	563	39	care	care	NOUN
easat-4929	563	40	,	,	PUNCT
easat-4929	563	41	vol	vol	NOUN
easat-4929	563	42	.	.	PROPN
easat-4929	563	43	37	37	NUM
easat-4929	563	44	,	,	PUNCT
easat-4929	563	45	no	no	INTJ
easat-4929	563	46	.	.	NOUN
easat-4929	563	47	5	5	NUM
easat-4929	563	48	,	,	PUNCT
easat-4929	563	49	pp	pp	ADJ
easat-4929	563	50	.	.	PUNCT
easat-4929	564	1	490	490	NUM
easat-4929	564	2	-	-	SYM
easat-4929	564	3	501	501	NUM
easat-4929	564	4	,	,	PUNCT
easat-4929	564	5	1999	1999	NUM
easat-4929	564	6	.	.	PUNCT
easat-4929	565	1	https://doi.org/10.1097/00005650-19990500000008	https://doi.org/10.1097/00005650-19990500000008	NOUN
easat-4929	565	2	[	[	X
easat-4929	565	3	14	14	NUM
easat-4929	565	4	]	]	PUNCT
easat-4929	565	5	a.	a.	PROPN
easat-4929	565	6	d.	d.	PROPN
easat-4929	565	7	association	association	PROPN
easat-4929	565	8	,	,	PUNCT
easat-4929	565	9	"	"	PUNCT
easat-4929	565	10	economic	economic	ADJ
easat-4929	565	11	costs	cost	NOUN
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easat-4929	565	13	diabetes	diabetes	NOUN
easat-4929	565	14	in	in	ADP
easat-4929	565	15	the	the	DET
easat-4929	565	16	us	us	PROPN
easat-4929	565	17	in	in	ADP
easat-4929	565	18	2017	2017	NUM
easat-4929	565	19	,	,	PUNCT
easat-4929	565	20	"	"	PUNCT
easat-4929	565	21	diabetes	diabetes	NOUN
easat-4929	565	22	care	care	NOUN
easat-4929	565	23	,	,	PUNCT
easat-4929	565	24	vol	vol	NOUN
easat-4929	565	25	.	.	PROPN
easat-4929	565	26	41	41	NUM
easat-4929	565	27	,	,	PUNCT
easat-4929	565	28	no	no	INTJ
easat-4929	565	29	.	.	NOUN
easat-4929	565	30	5	5	NUM
easat-4929	565	31	,	,	PUNCT
easat-4929	565	32	pp	pp	ADJ
easat-4929	565	33	.	.	PUNCT
easat-4929	566	1	917	917	NUM
easat-4929	566	2	-	-	SYM
easat-4929	566	3	928	928	NUM
easat-4929	566	4	,	,	PUNCT
easat-4929	566	5	2018	2018	NUM
easat-4929	566	6	.	.	PUNCT
easat-4929	567	1	https://doi.org/10.2337/dci18-0007	https://doi.org/10.2337/dci18-0007	ADJ
easat-4929	567	2	[	[	X
easat-4929	567	3	15	15	NUM
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easat-4929	567	5	h.	h.	PROPN
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easat-4929	567	9	m.	m.	PROPN
easat-4929	567	10	henschel	henschel	PROPN
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easat-4929	567	12	"	"	PUNCT
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easat-4929	567	19	-	-	PUNCT
easat-4929	567	20	cause	cause	NOUN
easat-4929	567	21	hospital	hospital	NOUN
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easat-4929	567	23	,	,	PUNCT
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easat-4929	568	4	,	,	PUNCT
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easat-4929	568	6	.	.	NOUN
easat-4929	568	7	304	304	NUM
easat-4929	568	8	.	.	PUNCT
easat-4929	569	1	agency	agency	PROPN
easat-4929	569	2	for	for	ADP
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easat-4929	569	5	and	and	CCONJ
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easat-4929	569	7	,	,	PUNCT
easat-4929	569	8	rockville	rockville	PROPN
easat-4929	569	9	,	,	PUNCT
easat-4929	569	10	md	md	PROPN
easat-4929	569	11	,	,	PUNCT
easat-4929	569	12	"	"	PUNCT
easat-4929	569	13	retrieved	retrieve	VERB
easat-4929	569	14	:	:	PUNCT
easat-4929	569	15	https://hcupus.ahrq.gov/reports/statbriefs/sb304-readmissions-2016-2020.jsp	https://hcupus.ahrq.gov/reports/statbriefs/sb304-readmissions-2016-2020.jsp	ADJ
easat-4929	569	16	,	,	PUNCT
easat-4929	569	17	2023	2023	NUM
easat-4929	569	18	.	.	PUNCT
easat-4929	570	1	[	[	X
easat-4929	570	2	16	16	NUM
easat-4929	570	3	]	]	PUNCT
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easat-4929	570	6	,	,	PUNCT
easat-4929	570	7	"	"	PUNCT
easat-4929	570	8	taking	take	VERB
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easat-4929	570	11	the	the	DET
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easat-4929	570	15	diabetes	diabetes	NOUN
easat-4929	570	16	-	-	PUNCT
easat-4929	570	17	related	relate	VERB
easat-4929	570	18	readmissions	readmission	NOUN
easat-4929	570	19	,	,	PUNCT
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easat-4929	570	21	nurse	nurse	NOUN
easat-4929	570	22	,	,	PUNCT
easat-4929	570	23	"	"	PUNCT
easat-4929	570	24	retrieved	retrieve	VERB
easat-4929	570	25	:	:	PUNCT
easat-4929	570	26	https://www.myamericannurse.com/taking-steps-in-the-hospital-to-prevent-diabetes-related-readmissions/	https://www.myamericannurse.com/taking-steps-in-the-hospital-to-prevent-diabetes-related-readmissions/	ADJ
easat-4929	570	27	,	,	PUNCT
easat-4929	570	28	2023	2023	NUM
easat-4929	570	29	.	.	PUNCT
easat-4929	571	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
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easat-4929	573	6	:	:	SYM
easat-4929	573	7	1803	1803	NUM
easat-4929	573	8	-	-	SYM
easat-4929	573	9	1829	1829	NUM
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easat-4929	574	2	17	17	NUM
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easat-4929	574	21	b.	b.	PROPN
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easat-4929	574	29	-	-	PUNCT
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easat-4929	574	41	a	a	DET
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easat-4929	574	46	-	-	PUNCT
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easat-4929	574	56	,	,	PUNCT
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easat-4929	574	63	1	1	NUM
easat-4929	574	64	,	,	PUNCT
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easat-4929	575	3	18	18	NUM
easat-4929	575	4	]	]	PUNCT
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easat-4929	575	17	and	and	CCONJ
easat-4929	575	18	b.	b.	PROPN
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easat-4929	575	26	-	-	PUNCT
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easat-4929	575	30	of	of	ADP
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easat-4929	577	2	-	-	SYM
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easat-4929	580	13	-	-	PUNCT
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easat-4929	581	1	1	1	NUM
easat-4929	581	2	-	-	SYM
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easat-4929	581	4	,	,	PUNCT
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easat-4929	582	21	,	,	PUNCT
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easat-4929	582	23	retrieved	retrieve	VERB
easat-4929	582	24	:	:	PUNCT
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easat-4929	582	26	,	,	PUNCT
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easat-4929	583	1	[	[	X
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easat-4929	583	3	]	]	X
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easat-4929	583	5	,	,	PUNCT
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easat-4929	583	8	:	:	PUNCT
easat-4929	583	9	a	a	DET
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easat-4929	584	2	content	content	PROPN
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easat-4929	584	4	,	,	PUNCT
easat-4929	584	5	"	"	PUNCT
easat-4929	584	6	retrieved	retrieve	VERB
easat-4929	584	7	:	:	PUNCT
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easat-4929	584	16	]	]	PUNCT
easat-4929	584	17	,	,	PUNCT
easat-4929	584	18	2023	2023	NUM
easat-4929	584	19	.	.	PUNCT
easat-4929	585	1	[	[	X
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easat-4929	585	3	]	]	SYM
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easat-4929	586	1	[	[	X
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