id	sid	tid	token	lemma	pos
cana-6314	1	1	communications	communication	NOUN
cana-6314	1	2	on	on	ADP
cana-6314	1	3	applied	apply	VERB
cana-6314	1	4	nonlinear	nonlinear	ADJ
cana-6314	1	5	analysis	analysis	NOUN
cana-6314	1	6	issn	issn	NOUN
cana-6314	1	7	:	:	PUNCT
cana-6314	1	8	1074	1074	NUM
cana-6314	1	9	-	-	PUNCT
cana-6314	1	10	133x	133x	NUM
cana-6314	1	11	vol	vol	NOUN
cana-6314	1	12	32	32	NUM
cana-6314	1	13	no	no	NOUN
cana-6314	1	14	.	.	PUNCT
cana-6314	2	1	1s	1s	NUM
cana-6314	2	2	(	(	PUNCT
cana-6314	2	3	2025	2025	NUM
cana-6314	2	4	)	)	PUNCT
cana-6314	2	5	756	756	NUM
cana-6314	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	2	7	integrating	integrate	VERB
cana-6314	2	8	machine	machine	NOUN
cana-6314	2	9	learning	learn	VERB
cana-6314	2	10	with	with	ADP
cana-6314	2	11	electronic	electronic	ADJ
cana-6314	2	12	health	health	NOUN
cana-6314	2	13	records	record	NOUN
cana-6314	2	14	for	for	ADP
cana-6314	2	15	real	real	ADJ
cana-6314	2	16	-	-	PUNCT
cana-6314	2	17	time	time	NOUN
cana-6314	2	18	and	and	CCONJ
cana-6314	2	19	accurate	accurate	ADJ
cana-6314	2	20	diabetes	diabetes	NOUN
cana-6314	2	21	diagnosis	diagnosis	NOUN
cana-6314	2	22	in	in	ADP
cana-6314	2	23	clinical	clinical	ADJ
cana-6314	2	24	settings	setting	NOUN
cana-6314	2	25	asheesh	asheesh	PROPN
cana-6314	2	26	pandey	pandey	PROPN
cana-6314	2	27	*	*	PROPN
cana-6314	2	28	,	,	PUNCT
cana-6314	2	29	dr	dr	PROPN
cana-6314	2	30	sudeshna	sudeshna	VERB
cana-6314	2	31	chakraborty	chakraborty	NOUN
cana-6314	2	32	#	#	NOUN
cana-6314	2	33	*	*	NOUN
cana-6314	2	34	research	research	NOUN
cana-6314	2	35	scholar	scholar	NOUN
cana-6314	2	36	,	,	PUNCT
cana-6314	2	37	department	department	NOUN
cana-6314	2	38	of	of	ADP
cana-6314	2	39	computer	computer	NOUN
cana-6314	2	40	science	science	NOUN
cana-6314	2	41	,	,	PUNCT
cana-6314	2	42	shri	shri	PROPN
cana-6314	2	43	venkateshwara	venkateshwara	PROPN
cana-6314	2	44	university	university	NOUN
cana-6314	2	45	gajraula	gajraula	NOUN
cana-6314	2	46	up	up	ADP
cana-6314	2	47	.	.	PUNCT
cana-6314	3	1	india	india	PROPN
cana-6314	3	2	,	,	PUNCT
cana-6314	3	3	asheesh.pandey.2feb@gmail.com	asheesh.pandey.2feb@gmail.com	VERB
cana-6314	3	4	#	#	SYM
cana-6314	3	5	research	research	NOUN
cana-6314	3	6	supervisor	supervisor	NOUN
cana-6314	3	7	,	,	PUNCT
cana-6314	3	8	department	department	NOUN
cana-6314	3	9	of	of	ADP
cana-6314	3	10	computer	computer	NOUN
cana-6314	3	11	science	science	NOUN
cana-6314	3	12	,	,	PUNCT
cana-6314	3	13	shri	shri	PROPN
cana-6314	3	14	venkateshwara	venkateshwara	PROPN
cana-6314	3	15	university	university	PROPN
cana-6314	3	16	,	,	PUNCT
cana-6314	3	17	gajraula	gajraula	NOUN
cana-6314	3	18	up	up	ADP
cana-6314	3	19	.	.	PUNCT
cana-6314	4	1	india	india	PROPN
cana-6314	4	2	.	.	PUNCT
cana-6314	5	1	sudeshna2529@gmail.com	sudeshna2529@gmail.com	PROPN
cana-6314	5	2	article	article	NOUN
cana-6314	5	3	history	history	NOUN
cana-6314	5	4	:	:	PUNCT
cana-6314	5	5	received	receive	VERB
cana-6314	5	6	:	:	PUNCT
cana-6314	5	7	04	04	NUM
cana-6314	5	8	-	-	PUNCT
cana-6314	5	9	01	01	NUM
cana-6314	5	10	-	-	PUNCT
cana-6314	5	11	2025	2025	NUM
cana-6314	5	12	revised	revise	VERB
cana-6314	5	13	:	:	PUNCT
cana-6314	5	14	23	23	NUM
cana-6314	5	15	-	-	SYM
cana-6314	5	16	01	01	NUM
cana-6314	5	17	-	-	PUNCT
cana-6314	5	18	2025	2025	NUM
cana-6314	5	19	accepted	accept	VERB
cana-6314	5	20	:	:	PUNCT
cana-6314	5	21	26	26	NUM
cana-6314	5	22	-	-	PUNCT
cana-6314	5	23	02	02	NUM
cana-6314	5	24	-	-	PUNCT
cana-6314	5	25	2025	2025	NUM
cana-6314	5	26	abstract	abstract	NOUN
cana-6314	5	27	:	:	PUNCT
cana-6314	5	28	the	the	DET
cana-6314	5	29	increasing	increase	VERB
cana-6314	5	30	growth	growth	NOUN
cana-6314	5	31	of	of	ADP
cana-6314	5	32	data	datum	NOUN
cana-6314	5	33	,	,	PUNCT
cana-6314	5	34	which	which	PRON
cana-6314	5	35	is	be	AUX
cana-6314	5	36	primarily	primarily	ADV
cana-6314	5	37	housed	house	VERB
cana-6314	5	38	as	as	ADP
cana-6314	5	39	disorganised	disorganised	ADJ
cana-6314	5	40	information	information	NOUN
cana-6314	5	41	in	in	ADP
cana-6314	5	42	electronic	electronic	ADJ
cana-6314	5	43	health	health	NOUN
cana-6314	5	44	records	record	NOUN
cana-6314	5	45	(	(	PUNCT
cana-6314	5	46	ehr	ehr	NOUN
cana-6314	5	47	)	)	PUNCT
cana-6314	5	48	,	,	PUNCT
cana-6314	5	49	has	have	AUX
cana-6314	5	50	caused	cause	VERB
cana-6314	5	51	fundamental	fundamental	ADJ
cana-6314	5	52	changes	change	NOUN
cana-6314	5	53	in	in	ADP
cana-6314	5	54	the	the	DET
cana-6314	5	55	healthcare	healthcare	NOUN
cana-6314	5	56	sector	sector	NOUN
cana-6314	5	57	.	.	PUNCT
cana-6314	6	1	natural	natural	ADJ
cana-6314	6	2	language	language	NOUN
cana-6314	6	3	processing	processing	NOUN
cana-6314	6	4	(	(	PUNCT
cana-6314	6	5	nlp	nlp	NOUN
cana-6314	6	6	)	)	PUNCT
cana-6314	6	7	and	and	CCONJ
cana-6314	6	8	machine	machine	NOUN
cana-6314	6	9	learning	learning	NOUN
cana-6314	6	10	have	have	AUX
cana-6314	6	11	emerged	emerge	VERB
cana-6314	6	12	as	as	ADP
cana-6314	6	13	efficient	efficient	ADJ
cana-6314	6	14	methods	method	NOUN
cana-6314	6	15	for	for	ADP
cana-6314	6	16	converting	convert	VERB
cana-6314	6	17	unstructured	unstructured	ADJ
cana-6314	6	18	healthcare	healthcare	PROPN
cana-6314	6	19	data	datum	NOUN
cana-6314	6	20	into	into	ADP
cana-6314	6	21	structured	structured	ADJ
cana-6314	6	22	collections	collection	NOUN
cana-6314	6	23	as	as	ADP
cana-6314	6	24	a	a	DET
cana-6314	6	25	result	result	NOUN
cana-6314	6	26	of	of	ADP
cana-6314	6	27	this	this	DET
cana-6314	6	28	flood	flood	NOUN
cana-6314	6	29	of	of	ADP
cana-6314	6	30	complex	complex	ADJ
cana-6314	6	31	data	datum	NOUN
cana-6314	6	32	.	.	PUNCT
cana-6314	7	1	healthcare	healthcare	NOUN
cana-6314	7	2	professionals	professional	NOUN
cana-6314	7	3	may	may	AUX
cana-6314	7	4	now	now	ADV
cana-6314	7	5	swiftly	swiftly	ADV
cana-6314	7	6	glean	glean	VERB
cana-6314	7	7	valuable	valuable	ADJ
cana-6314	7	8	insights	insight	NOUN
cana-6314	7	9	from	from	ADP
cana-6314	7	10	the	the	DET
cana-6314	7	11	vast	vast	ADJ
cana-6314	7	12	amounts	amount	NOUN
cana-6314	7	13	of	of	ADP
cana-6314	7	14	data	datum	NOUN
cana-6314	7	15	at	at	ADP
cana-6314	7	16	their	their	PRON
cana-6314	7	17	disposal	disposal	NOUN
cana-6314	7	18	thanks	thank	NOUN
cana-6314	7	19	to	to	ADP
cana-6314	7	20	this	this	DET
cana-6314	7	21	method	method	NOUN
cana-6314	7	22	modification	modification	NOUN
cana-6314	7	23	.	.	PUNCT
cana-6314	8	1	beyond	beyond	ADP
cana-6314	8	2	data	data	NOUN
cana-6314	8	3	organisation	organisation	NOUN
cana-6314	8	4	,	,	PUNCT
cana-6314	8	5	the	the	DET
cana-6314	8	6	pharmaceutical	pharmaceutical	NOUN
cana-6314	8	7	industry	industry	NOUN
cana-6314	8	8	's	's	PART
cana-6314	8	9	medication	medication	NOUN
cana-6314	8	10	research	research	NOUN
cana-6314	8	11	and	and	CCONJ
cana-6314	8	12	development	development	NOUN
cana-6314	8	13	is	be	AUX
cana-6314	8	14	greatly	greatly	ADV
cana-6314	8	15	impacted	impact	VERB
cana-6314	8	16	by	by	ADP
cana-6314	8	17	machine	machine	NOUN
cana-6314	8	18	learning	learning	NOUN
cana-6314	8	19	and	and	CCONJ
cana-6314	8	20	artificial	artificial	ADJ
cana-6314	8	21	intelligence	intelligence	NOUN
cana-6314	8	22	(	(	PUNCT
cana-6314	8	23	ai	ai	NOUN
cana-6314	8	24	)	)	PUNCT
cana-6314	8	25	.	.	PUNCT
cana-6314	9	1	these	these	DET
cana-6314	9	2	technologies	technology	NOUN
cana-6314	9	3	,	,	PUNCT
cana-6314	9	4	in	in	ADP
cana-6314	9	5	particular	particular	ADJ
cana-6314	9	6	,	,	PUNCT
cana-6314	9	7	have	have	AUX
cana-6314	9	8	already	already	ADV
cana-6314	9	9	significantly	significantly	ADV
cana-6314	9	10	influenced	influence	VERB
cana-6314	9	11	clinical	clinical	ADJ
cana-6314	9	12	studies	study	NOUN
cana-6314	9	13	involving	involve	VERB
cana-6314	9	14	the	the	DET
cana-6314	9	15	central	central	ADJ
cana-6314	9	16	nervous	nervous	ADJ
cana-6314	9	17	system	system	NOUN
cana-6314	9	18	,	,	PUNCT
cana-6314	9	19	providing	provide	VERB
cana-6314	9	20	valuable	valuable	ADJ
cana-6314	9	21	information	information	NOUN
cana-6314	9	22	on	on	ADP
cana-6314	9	23	how	how	SCONJ
cana-6314	9	24	patients	patient	NOUN
cana-6314	9	25	react	react	VERB
cana-6314	9	26	to	to	ADP
cana-6314	9	27	various	various	ADJ
cana-6314	9	28	drugs	drug	NOUN
cana-6314	9	29	.	.	PUNCT
cana-6314	10	1	machine	machine	NOUN
cana-6314	10	2	learning	learning	NOUN
cana-6314	10	3	is	be	AUX
cana-6314	10	4	being	be	AUX
cana-6314	10	5	used	use	VERB
cana-6314	10	6	more	more	ADV
cana-6314	10	7	and	and	CCONJ
cana-6314	10	8	more	more	ADJ
cana-6314	10	9	by	by	ADP
cana-6314	10	10	pharmaceutical	pharmaceutical	ADJ
cana-6314	10	11	companies	company	NOUN
cana-6314	10	12	to	to	PART
cana-6314	10	13	predict	predict	VERB
cana-6314	10	14	patient	patient	ADJ
cana-6314	10	15	reactions	reaction	NOUN
cana-6314	10	16	and	and	CCONJ
cana-6314	10	17	determine	determine	VERB
cana-6314	10	18	which	which	PRON
cana-6314	10	19	patients	patient	NOUN
cana-6314	10	20	are	be	AUX
cana-6314	10	21	most	most	ADV
cana-6314	10	22	likely	likely	ADJ
cana-6314	10	23	to	to	PART
cana-6314	10	24	benefit	benefit	VERB
cana-6314	10	25	from	from	ADP
cana-6314	10	26	particular	particular	ADJ
cana-6314	10	27	therapies	therapy	NOUN
cana-6314	10	28	.	.	PUNCT
cana-6314	11	1	furthermore	furthermore	ADV
cana-6314	11	2	,	,	PUNCT
cana-6314	11	3	the	the	DET
cana-6314	11	4	advent	advent	NOUN
cana-6314	11	5	of	of	ADP
cana-6314	11	6	telemedicine	telemedicine	NOUN
cana-6314	11	7	has	have	AUX
cana-6314	11	8	made	make	VERB
cana-6314	11	9	use	use	NOUN
cana-6314	11	10	of	of	ADP
cana-6314	11	11	machine	machine	NOUN
cana-6314	11	12	learning	learning	NOUN
cana-6314	11	13	's	's	PART
cana-6314	11	14	benefits	benefit	NOUN
cana-6314	11	15	,	,	PUNCT
cana-6314	11	16	particularly	particularly	ADV
cana-6314	11	17	in	in	ADP
cana-6314	11	18	terms	term	NOUN
cana-6314	11	19	of	of	ADP
cana-6314	11	20	streamlining	streamline	VERB
cana-6314	11	21	the	the	DET
cana-6314	11	22	distribution	distribution	NOUN
cana-6314	11	23	and	and	CCONJ
cana-6314	11	24	arrangement	arrangement	NOUN
cana-6314	11	25	of	of	ADP
cana-6314	11	26	patient	patient	ADJ
cana-6314	11	27	data	datum	NOUN
cana-6314	11	28	during	during	ADP
cana-6314	11	29	online	online	ADJ
cana-6314	11	30	consultations	consultation	NOUN
cana-6314	11	31	.	.	PUNCT
cana-6314	12	1	innovative	innovative	ADJ
cana-6314	12	2	machine	machine	NOUN
cana-6314	12	3	learning	learn	VERB
cana-6314	12	4	companies	company	NOUN
cana-6314	12	5	are	be	AUX
cana-6314	12	6	looking	look	VERB
cana-6314	12	7	into	into	ADP
cana-6314	12	8	ways	way	NOUN
cana-6314	12	9	to	to	PART
cana-6314	12	10	enhance	enhance	VERB
cana-6314	12	11	telemedicine	telemedicine	NOUN
cana-6314	12	12	sessions	session	NOUN
cana-6314	12	13	'	'	PART
cana-6314	12	14	efficacy	efficacy	NOUN
cana-6314	12	15	by	by	ADP
cana-6314	12	16	streamlining	streamline	VERB
cana-6314	12	17	processes	process	NOUN
cana-6314	12	18	,	,	PUNCT
cana-6314	12	19	gathering	gather	VERB
cana-6314	12	20	pertinent	pertinent	ADJ
cana-6314	12	21	data	datum	NOUN
cana-6314	12	22	,	,	PUNCT
cana-6314	12	23	and	and	CCONJ
cana-6314	12	24	eventually	eventually	ADV
cana-6314	12	25	raising	raise	VERB
cana-6314	12	26	the	the	DET
cana-6314	12	27	standard	standard	NOUN
cana-6314	12	28	of	of	ADP
cana-6314	12	29	virtual	virtual	ADJ
cana-6314	12	30	medical	medical	ADJ
cana-6314	12	31	interactions	interaction	NOUN
cana-6314	12	32	.	.	PUNCT
cana-6314	13	1	in	in	ADP
cana-6314	13	2	addition	addition	NOUN
cana-6314	13	3	to	to	ADP
cana-6314	13	4	showcasing	showcase	VERB
cana-6314	13	5	industry	industry	NOUN
cana-6314	13	6	technology	technology	NOUN
cana-6314	13	7	advancements	advancement	NOUN
cana-6314	13	8	,	,	PUNCT
cana-6314	13	9	this	this	DET
cana-6314	13	10	nexus	nexus	NOUN
cana-6314	13	11	of	of	ADP
cana-6314	13	12	ai	ai	PROPN
cana-6314	13	13	,	,	PUNCT
cana-6314	13	14	machine	machine	NOUN
cana-6314	13	15	learning	learning	NOUN
cana-6314	13	16	,	,	PUNCT
cana-6314	13	17	and	and	CCONJ
cana-6314	13	18	healthcare	healthcare	NOUN
cana-6314	13	19	has	have	VERB
cana-6314	13	20	the	the	DET
cana-6314	13	21	potential	potential	NOUN
cana-6314	13	22	to	to	PART
cana-6314	13	23	completely	completely	ADV
cana-6314	13	24	transform	transform	VERB
cana-6314	13	25	medication	medication	NOUN
cana-6314	13	26	development	development	NOUN
cana-6314	13	27	and	and	CCONJ
cana-6314	13	28	patient	patient	ADJ
cana-6314	13	29	care	care	NOUN
cana-6314	13	30	.	.	PUNCT
cana-6314	14	1	healthcare	healthcare	PROPN
cana-6314	14	2	4.0	4.0	NUM
cana-6314	14	3	,	,	PUNCT
cana-6314	14	4	the	the	DET
cana-6314	14	5	integration	integration	NOUN
cana-6314	14	6	of	of	ADP
cana-6314	14	7	advanced	advanced	ADJ
cana-6314	14	8	technologies	technology	NOUN
cana-6314	14	9	in	in	ADP
cana-6314	14	10	the	the	DET
cana-6314	14	11	healthcare	healthcare	NOUN
cana-6314	14	12	industry	industry	NOUN
cana-6314	14	13	,	,	PUNCT
cana-6314	14	14	has	have	AUX
cana-6314	14	15	revolutionised	revolutionise	VERB
cana-6314	14	16	the	the	DET
cana-6314	14	17	delivery	delivery	NOUN
cana-6314	14	18	and	and	CCONJ
cana-6314	14	19	management	management	NOUN
cana-6314	14	20	of	of	ADP
cana-6314	14	21	medical	medical	ADJ
cana-6314	14	22	services	service	NOUN
cana-6314	14	23	.	.	PUNCT
cana-6314	15	1	both	both	DET
cana-6314	15	2	machine	machine	NOUN
cana-6314	15	3	learning	learning	NOUN
cana-6314	15	4	(	(	PUNCT
cana-6314	15	5	ml	ml	NOUN
cana-6314	15	6	)	)	PUNCT
cana-6314	15	7	and	and	CCONJ
cana-6314	15	8	artificial	artificial	ADJ
cana-6314	15	9	intelligence	intelligence	NOUN
cana-6314	15	10	(	(	PUNCT
cana-6314	15	11	ai	ai	VERB
cana-6314	15	12	)	)	PUNCT
cana-6314	15	13	are	be	AUX
cana-6314	15	14	essential	essential	ADJ
cana-6314	15	15	for	for	ADP
cana-6314	15	16	personalised	personalised	ADJ
cana-6314	15	17	treatment	treatment	NOUN
cana-6314	15	18	plans	plan	NOUN
cana-6314	15	19	,	,	PUNCT
cana-6314	15	20	predictive	predictive	ADJ
cana-6314	15	21	modelling	modelling	NOUN
cana-6314	15	22	,	,	PUNCT
cana-6314	15	23	and	and	CCONJ
cana-6314	15	24	diagnostics	diagnostic	NOUN
cana-6314	15	25	.	.	PUNCT
cana-6314	16	1	they	they	PRON
cana-6314	16	2	use	use	VERB
cana-6314	16	3	data	datum	NOUN
cana-6314	16	4	analysis	analysis	NOUN
cana-6314	16	5	to	to	PART
cana-6314	16	6	impact	impact	VERB
cana-6314	16	7	healthcare	healthcare	NOUN
cana-6314	16	8	choices	choice	NOUN
cana-6314	16	9	.	.	PUNCT
cana-6314	17	1	through	through	ADP
cana-6314	17	2	connected	connected	ADJ
cana-6314	17	3	devices	device	NOUN
cana-6314	17	4	,	,	PUNCT
cana-6314	17	5	the	the	DET
cana-6314	17	6	internet	internet	NOUN
cana-6314	17	7	of	of	ADP
cana-6314	17	8	things	thing	NOUN
cana-6314	17	9	(	(	PUNCT
cana-6314	17	10	iot	iot	NOUN
cana-6314	17	11	)	)	PUNCT
cana-6314	17	12	makes	make	VERB
cana-6314	17	13	it	it	PRON
cana-6314	17	14	possible	possible	ADJ
cana-6314	17	15	to	to	PART
cana-6314	17	16	remotely	remotely	ADV
cana-6314	17	17	monitor	monitor	VERB
cana-6314	17	18	patients	patient	NOUN
cana-6314	17	19	,	,	PUNCT
cana-6314	17	20	encouraging	encourage	VERB
cana-6314	17	21	early	early	ADJ
cana-6314	17	22	detection	detection	NOUN
cana-6314	17	23	and	and	CCONJ
cana-6314	17	24	preventative	preventative	ADJ
cana-6314	17	25	care	care	NOUN
cana-6314	17	26	.	.	PUNCT
cana-6314	18	1	digital	digital	ADJ
cana-6314	18	2	communication	communication	NOUN
cana-6314	18	3	technologies	technology	NOUN
cana-6314	18	4	are	be	AUX
cana-6314	18	5	used	use	VERB
cana-6314	18	6	by	by	ADP
cana-6314	18	7	telemedicine	telemedicine	NOUN
cana-6314	18	8	and	and	CCONJ
cana-6314	18	9	telehealth	telehealth	ADJ
cana-6314	18	10	solutions	solution	NOUN
cana-6314	18	11	to	to	PART
cana-6314	18	12	increase	increase	VERB
cana-6314	18	13	access	access	NOUN
cana-6314	18	14	to	to	ADP
cana-6314	18	15	healthcare	healthcare	PROPN
cana-6314	18	16	services	service	NOUN
cana-6314	18	17	,	,	PUNCT
cana-6314	18	18	which	which	PRON
cana-6314	18	19	is	be	AUX
cana-6314	18	20	particularly	particularly	ADV
cana-6314	18	21	useful	useful	ADJ
cana-6314	18	22	in	in	ADP
cana-6314	18	23	underserved	underserved	ADJ
cana-6314	18	24	or	or	CCONJ
cana-6314	18	25	remote	remote	ADJ
cana-6314	18	26	areas	area	NOUN
cana-6314	18	27	.	.	PUNCT
cana-6314	19	1	blockchain	blockchain	PROPN
cana-6314	19	2	technology	technology	PROPN
cana-6314	19	3	makes	make	VERB
cana-6314	19	4	it	it	PRON
cana-6314	19	5	possible	possible	ADJ
cana-6314	19	6	to	to	PART
cana-6314	19	7	share	share	VERB
cana-6314	19	8	medical	medical	ADJ
cana-6314	19	9	records	record	NOUN
cana-6314	19	10	in	in	ADP
cana-6314	19	11	a	a	DET
cana-6314	19	12	mailto:asheesh.pandey.2feb@gmail.com	mailto:asheesh.pandey.2feb@gmail.com	NOUN
cana-6314	19	13	mailto:sudeshna2529@gmail.com	mailto:sudeshna2529@gmail.com	X
cana-6314	19	14	communications	communication	NOUN
cana-6314	19	15	on	on	ADP
cana-6314	19	16	applied	apply	VERB
cana-6314	19	17	nonlinear	nonlinear	ADJ
cana-6314	19	18	analysis	analysis	NOUN
cana-6314	19	19	issn	issn	NOUN
cana-6314	19	20	:	:	PUNCT
cana-6314	19	21	1074	1074	NUM
cana-6314	19	22	-	-	PUNCT
cana-6314	19	23	133x	133x	NUM
cana-6314	19	24	vol	vol	NOUN
cana-6314	19	25	32	32	NUM
cana-6314	19	26	no	no	NOUN
cana-6314	19	27	.	.	PUNCT
cana-6314	20	1	1s	1s	NUM
cana-6314	20	2	(	(	PUNCT
cana-6314	20	3	2025	2025	NUM
cana-6314	20	4	)	)	PUNCT
cana-6314	20	5	757	757	NUM
cana-6314	20	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-6314	20	7	transparent	transparent	ADJ
cana-6314	20	8	and	and	CCONJ
cana-6314	20	9	safe	safe	ADJ
cana-6314	20	10	manner	manner	NOUN
cana-6314	20	11	,	,	PUNCT
cana-6314	20	12	which	which	PRON
cana-6314	20	13	enhances	enhance	VERB
cana-6314	20	14	patient	patient	ADJ
cana-6314	20	15	autonomy	autonomy	NOUN
cana-6314	20	16	and	and	CCONJ
cana-6314	20	17	data	datum	NOUN
cana-6314	20	18	protection	protection	NOUN
cana-6314	20	19	.	.	PUNCT
cana-6314	21	1	virtual	virtual	ADJ
cana-6314	21	2	reality	reality	NOUN
cana-6314	21	3	(	(	PUNCT
cana-6314	21	4	vr	vr	NOUN
cana-6314	21	5	)	)	PUNCT
cana-6314	21	6	and	and	CCONJ
cana-6314	21	7	augmented	augment	VERB
cana-6314	21	8	reality	reality	NOUN
cana-6314	21	9	(	(	PUNCT
cana-6314	21	10	ar	ar	NOUN
cana-6314	21	11	)	)	PUNCT
cana-6314	21	12	are	be	AUX
cana-6314	21	13	used	use	VERB
cana-6314	21	14	in	in	ADP
cana-6314	21	15	patient	patient	ADJ
cana-6314	21	16	education	education	NOUN
cana-6314	21	17	,	,	PUNCT
cana-6314	21	18	surgery	surgery	NOUN
cana-6314	21	19	planning	planning	NOUN
cana-6314	21	20	,	,	PUNCT
cana-6314	21	21	and	and	CCONJ
cana-6314	21	22	medical	medical	ADJ
cana-6314	21	23	training	training	NOUN
cana-6314	21	24	because	because	SCONJ
cana-6314	21	25	they	they	PRON
cana-6314	21	26	offer	offer	VERB
cana-6314	21	27	immersive	immersive	NOUN
cana-6314	21	28	experiences	experience	NOUN
cana-6314	21	29	that	that	PRON
cana-6314	21	30	enhance	enhance	VERB
cana-6314	21	31	learning	learning	NOUN
cana-6314	21	32	and	and	CCONJ
cana-6314	21	33	treatment	treatment	NOUN
cana-6314	21	34	results	result	NOUN
cana-6314	21	35	.	.	PUNCT
cana-6314	22	1	furthermore	furthermore	ADV
cana-6314	22	2	,	,	PUNCT
cana-6314	22	3	by	by	ADP
cana-6314	22	4	enhancing	enhance	VERB
cana-6314	22	5	innovation	innovation	NOUN
cana-6314	22	6	,	,	PUNCT
cana-6314	22	7	efficacy	efficacy	NOUN
cana-6314	22	8	,	,	PUNCT
cana-6314	22	9	and	and	CCONJ
cana-6314	22	10	individualised	individualised	ADJ
cana-6314	22	11	patient	patient	NOUN
cana-6314	22	12	care	care	NOUN
cana-6314	22	13	,	,	PUNCT
cana-6314	22	14	technologies	technology	NOUN
cana-6314	22	15	like	like	ADP
cana-6314	22	16	3d	3d	PROPN
cana-6314	22	17	printing	printing	NOUN
cana-6314	22	18	,	,	PUNCT
cana-6314	22	19	robots	robot	NOUN
cana-6314	22	20	,	,	PUNCT
cana-6314	22	21	cloud	cloud	NOUN
cana-6314	22	22	computing	computing	NOUN
cana-6314	22	23	,	,	PUNCT
cana-6314	22	24	precision	precision	NOUN
cana-6314	22	25	medicine	medicine	NOUN
cana-6314	22	26	,	,	PUNCT
cana-6314	22	27	and	and	CCONJ
cana-6314	22	28	biomedical	biomedical	ADJ
cana-6314	22	29	informatics	informatic	NOUN
cana-6314	22	30	all	all	PRON
cana-6314	22	31	contribute	contribute	VERB
cana-6314	22	32	to	to	ADP
cana-6314	22	33	the	the	DET
cana-6314	22	34	evolution	evolution	NOUN
cana-6314	22	35	of	of	ADP
cana-6314	22	36	healthcare	healthcare	NOUN
cana-6314	22	37	the	the	DET
cana-6314	22	38	importance	importance	NOUN
cana-6314	22	39	of	of	ADP
cana-6314	22	40	improving	improve	VERB
cana-6314	22	41	patient	patient	ADJ
cana-6314	22	42	classification	classification	NOUN
cana-6314	22	43	techniques	technique	NOUN
cana-6314	22	44	in	in	ADP
cana-6314	22	45	the	the	DET
cana-6314	22	46	current	current	ADJ
cana-6314	22	47	healthcare	healthcare	NOUN
cana-6314	22	48	environment	environment	NOUN
cana-6314	22	49	has	have	AUX
cana-6314	22	50	been	be	AUX
cana-6314	22	51	brought	bring	VERB
cana-6314	22	52	to	to	ADP
cana-6314	22	53	light	light	NOUN
cana-6314	22	54	by	by	ADP
cana-6314	22	55	the	the	DET
cana-6314	22	56	growth	growth	NOUN
cana-6314	22	57	of	of	ADP
cana-6314	22	58	precision	precision	NOUN
cana-6314	22	59	medicine	medicine	NOUN
cana-6314	22	60	.	.	PUNCT
cana-6314	23	1	customising	customise	VERB
cana-6314	23	2	medical	medical	ADJ
cana-6314	23	3	interventions	intervention	NOUN
cana-6314	23	4	and	and	CCONJ
cana-6314	23	5	improving	improve	VERB
cana-6314	23	6	overall	overall	ADJ
cana-6314	23	7	healthcare	healthcare	NOUN
cana-6314	23	8	results	result	NOUN
cana-6314	23	9	depend	depend	VERB
cana-6314	23	10	heavily	heavily	ADV
cana-6314	23	11	on	on	ADP
cana-6314	23	12	effective	effective	ADJ
cana-6314	23	13	patient	patient	ADJ
cana-6314	23	14	classification	classification	NOUN
cana-6314	23	15	,	,	PUNCT
cana-6314	23	16	which	which	PRON
cana-6314	23	17	is	be	AUX
cana-6314	23	18	made	make	VERB
cana-6314	23	19	possible	possible	ADJ
cana-6314	23	20	by	by	ADP
cana-6314	23	21	contemporary	contemporary	ADJ
cana-6314	23	22	clustering	clustering	ADJ
cana-6314	23	23	algorithms	algorithm	NOUN
cana-6314	23	24	applied	apply	VERB
cana-6314	23	25	to	to	ADP
cana-6314	23	26	electronic	electronic	ADJ
cana-6314	23	27	health	health	NOUN
cana-6314	23	28	record	record	NOUN
cana-6314	23	29	(	(	PUNCT
cana-6314	23	30	ehr	ehr	NOUN
cana-6314	23	31	)	)	PUNCT
cana-6314	23	32	data	datum	NOUN
cana-6314	23	33	.	.	PUNCT
cana-6314	24	1	keywords	keyword	NOUN
cana-6314	24	2	:	:	PUNCT
cana-6314	24	3	diabetes	diabetes	NOUN
cana-6314	24	4	prediction	prediction	NOUN
cana-6314	24	5	,	,	PUNCT
cana-6314	24	6	machine	machine	NOUN
cana-6314	24	7	learning	learning	NOUN
cana-6314	24	8	,	,	PUNCT
cana-6314	24	9	random	random	ADJ
cana-6314	24	10	forest	forest	NOUN
cana-6314	24	11	(	(	PUNCT
cana-6314	24	12	rf	rf	NOUN
cana-6314	24	13	)	)	PUNCT
cana-6314	24	14	,	,	PUNCT
cana-6314	24	15	support	support	VERB
cana-6314	24	16	vector	vector	NOUN
cana-6314	24	17	machines	machine	NOUN
cana-6314	24	18	(	(	PUNCT
cana-6314	24	19	svm	svm	PROPN
cana-6314	24	20	)	)	PUNCT
cana-6314	24	21	,	,	PUNCT
cana-6314	24	22	logistic	logistic	ADJ
cana-6314	24	23	regression	regression	NOUN
cana-6314	24	24	(	(	PUNCT
cana-6314	24	25	lr	lr	NOUN
cana-6314	24	26	)	)	PUNCT
cana-6314	24	27	,	,	PUNCT
cana-6314	24	28	gradient	gradient	NOUN
cana-6314	24	29	boosting	boosting	NOUN
cana-6314	24	30	(	(	PUNCT
cana-6314	24	31	gb	gb	NOUN
cana-6314	24	32	)	)	PUNCT
cana-6314	24	33	,	,	PUNCT
cana-6314	24	34	knearest	knearest	NOUN
cana-6314	24	35	neighbor	neighbor	NOUN
cana-6314	24	36	(	(	PUNCT
cana-6314	24	37	k	k	PROPN
cana-6314	24	38	-	-	PUNCT
cana-6314	24	39	nn	nn	NOUN
cana-6314	24	40	)	)	PUNCT
cana-6314	24	41	.	.	PUNCT
cana-6314	25	1	1	1	X
cana-6314	25	2	.	.	X
cana-6314	25	3	introduction	introduction	NOUN
cana-6314	25	4	one	one	NUM
cana-6314	25	5	of	of	ADP
cana-6314	25	6	the	the	DET
cana-6314	25	7	most	most	ADV
cana-6314	25	8	common	common	ADJ
cana-6314	25	9	and	and	CCONJ
cana-6314	25	10	harmful	harmful	ADJ
cana-6314	25	11	illnesses	illness	NOUN
cana-6314	25	12	in	in	ADP
cana-6314	25	13	the	the	DET
cana-6314	25	14	world	world	NOUN
cana-6314	25	15	is	be	AUX
cana-6314	25	16	diabetes	diabetes	NOUN
cana-6314	25	17	mellitus	mellitus	NOUN
cana-6314	25	18	.	.	PUNCT
cana-6314	26	1	the	the	DET
cana-6314	26	2	world	world	PROPN
cana-6314	26	3	health	health	PROPN
cana-6314	26	4	organization	organization	NOUN
cana-6314	26	5	(	(	PUNCT
cana-6314	26	6	who	who	PRON
cana-6314	26	7	)	)	PUNCT
cana-6314	26	8	estimates	estimate	VERB
cana-6314	26	9	that	that	SCONJ
cana-6314	26	10	diabetes	diabetes	NOUN
cana-6314	26	11	affects	affect	VERB
cana-6314	26	12	8.5	8.5	NUM
cana-6314	26	13	%	%	NOUN
cana-6314	26	14	of	of	ADP
cana-6314	26	15	persons	person	NOUN
cana-6314	26	16	over	over	ADP
cana-6314	26	17	the	the	DET
cana-6314	26	18	age	age	NOUN
cana-6314	26	19	of	of	ADP
cana-6314	26	20	18	18	NUM
cana-6314	26	21	and	and	CCONJ
cana-6314	26	22	kills	kill	VERB
cana-6314	26	23	1.6	1.6	NUM
cana-6314	26	24	million	million	NUM
cana-6314	26	25	people	people	NOUN
cana-6314	26	26	globally	globally	ADV
cana-6314	26	27	(	(	PUNCT
cana-6314	26	28	world	world	NOUN
cana-6314	26	29	health	health	NOUN
cana-6314	26	30	organization	organization	NOUN
cana-6314	26	31	,	,	PUNCT
cana-6314	26	32	2021	2021	NUM
cana-6314	26	33	)	)	PUNCT
cana-6314	26	34	.	.	PUNCT
cana-6314	27	1	between	between	ADP
cana-6314	27	2	2000	2000	NUM
cana-6314	27	3	and	and	CCONJ
cana-6314	27	4	2010	2010	NUM
cana-6314	27	5	,	,	PUNCT
cana-6314	27	6	the	the	DET
cana-6314	27	7	number	number	NOUN
cana-6314	27	8	of	of	ADP
cana-6314	27	9	premature	premature	ADJ
cana-6314	27	10	deaths	death	NOUN
cana-6314	27	11	from	from	ADP
cana-6314	27	12	diabetes	diabetes	NOUN
cana-6314	27	13	decreased	decrease	VERB
cana-6314	27	14	in	in	ADP
cana-6314	27	15	many	many	ADJ
cana-6314	27	16	developing	develop	VERB
cana-6314	27	17	countries	country	NOUN
cana-6314	27	18	;	;	PUNCT
cana-6314	27	19	however	however	ADV
cana-6314	27	20	,	,	PUNCT
cana-6314	27	21	between	between	ADP
cana-6314	27	22	2010	2010	NUM
cana-6314	27	23	and	and	CCONJ
cana-6314	27	24	2016	2016	NUM
cana-6314	27	25	,	,	PUNCT
cana-6314	27	26	the	the	DET
cana-6314	27	27	situation	situation	NOUN
cana-6314	27	28	worsened	worsen	VERB
cana-6314	27	29	again	again	ADV
cana-6314	27	30	.	.	PUNCT
cana-6314	28	1	the	the	DET
cana-6314	28	2	four	four	NUM
cana-6314	28	3	biggest	big	ADJ
cana-6314	28	4	causes	cause	NOUN
cana-6314	28	5	of	of	ADP
cana-6314	28	6	death	death	NOUN
cana-6314	28	7	—	—	PUNCT
cana-6314	28	8	cancer	cancer	NOUN
cana-6314	28	9	,	,	PUNCT
cana-6314	28	10	diabetes	diabetes	NOUN
cana-6314	28	11	,	,	PUNCT
cana-6314	28	12	cardiovascular	cardiovascular	ADJ
cana-6314	28	13	disease	disease	NOUN
cana-6314	28	14	,	,	PUNCT
cana-6314	28	15	and	and	CCONJ
cana-6314	28	16	chronic	chronic	ADJ
cana-6314	28	17	respiratory	respiratory	ADJ
cana-6314	28	18	conditions	condition	NOUN
cana-6314	28	19	—	—	PUNCT
cana-6314	28	20	are	be	AUX
cana-6314	28	21	a	a	DET
cana-6314	28	22	major	major	ADJ
cana-6314	28	23	public	public	ADJ
cana-6314	28	24	health	health	NOUN
cana-6314	28	25	concern	concern	NOUN
cana-6314	28	26	because	because	SCONJ
cana-6314	28	27	they	they	PRON
cana-6314	28	28	collectively	collectively	ADV
cana-6314	28	29	account	account	VERB
cana-6314	28	30	for	for	ADP
cana-6314	28	31	almost	almost	ADV
cana-6314	28	32	18	18	NUM
cana-6314	28	33	%	%	NOUN
cana-6314	28	34	of	of	ADP
cana-6314	28	35	all	all	DET
cana-6314	28	36	deaths	death	NOUN
cana-6314	28	37	worldwide	worldwide	ADV
cana-6314	28	38	.	.	PUNCT
cana-6314	29	1	for	for	ADP
cana-6314	29	2	instance	instance	NOUN
cana-6314	29	3	,	,	PUNCT
cana-6314	29	4	in	in	ADP
cana-6314	29	5	2000	2000	NUM
cana-6314	29	6	,	,	PUNCT
cana-6314	29	7	the	the	DET
cana-6314	29	8	number	number	NOUN
cana-6314	29	9	of	of	ADP
cana-6314	29	10	deaths	death	NOUN
cana-6314	29	11	from	from	ADP
cana-6314	29	12	diabetes	diabetes	NOUN
cana-6314	29	13	rose	rise	VERB
cana-6314	29	14	by	by	ADP
cana-6314	29	15	70	70	NUM
cana-6314	29	16	%	%	NOUN
cana-6314	29	17	,	,	PUNCT
cana-6314	29	18	and	and	CCONJ
cana-6314	29	19	by	by	ADP
cana-6314	29	20	2020	2020	NUM
cana-6314	29	21	,	,	PUNCT
cana-6314	29	22	it	it	PRON
cana-6314	29	23	was	be	AUX
cana-6314	29	24	expected	expect	VERB
cana-6314	29	25	that	that	SCONJ
cana-6314	29	26	male	male	ADJ
cana-6314	29	27	mortality	mortality	NOUN
cana-6314	29	28	rates	rate	NOUN
cana-6314	29	29	would	would	AUX
cana-6314	29	30	climb	climb	VERB
cana-6314	29	31	by	by	ADP
cana-6314	29	32	80	80	NUM
cana-6314	29	33	%	%	NOUN
cana-6314	29	34	.	.	PUNCT
cana-6314	30	1	diabetes	diabetes	NOUN
cana-6314	30	2	mellitus	mellitus	NOUN
cana-6314	30	3	may	may	AUX
cana-6314	30	4	develop	develop	VERB
cana-6314	30	5	as	as	ADP
cana-6314	30	6	a	a	DET
cana-6314	30	7	result	result	NOUN
cana-6314	30	8	of	of	ADP
cana-6314	30	9	a	a	DET
cana-6314	30	10	variety	variety	NOUN
cana-6314	30	11	of	of	ADP
cana-6314	30	12	causes	cause	NOUN
cana-6314	30	13	,	,	PUNCT
cana-6314	30	14	including	include	VERB
cana-6314	30	15	age	age	NOUN
cana-6314	30	16	,	,	PUNCT
cana-6314	30	17	obesity	obesity	NOUN
cana-6314	30	18	,	,	PUNCT
cana-6314	30	19	poor	poor	ADJ
cana-6314	30	20	food	food	NOUN
cana-6314	30	21	,	,	PUNCT
cana-6314	30	22	high	high	ADJ
cana-6314	30	23	blood	blood	NOUN
cana-6314	30	24	pressure	pressure	NOUN
cana-6314	30	25	,	,	PUNCT
cana-6314	30	26	heredity	heredity	NOUN
cana-6314	30	27	,	,	PUNCT
cana-6314	30	28	bad	bad	ADJ
cana-6314	30	29	lifestyle	lifestyle	NOUN
cana-6314	30	30	,	,	PUNCT
cana-6314	30	31	and	and	CCONJ
cana-6314	30	32	inactivity	inactivity	NOUN
cana-6314	30	33	.	.	PUNCT
cana-6314	31	1	figure	figure	NOUN
cana-6314	31	2	1	1	NUM
cana-6314	31	3	.	.	PUNCT
cana-6314	31	4	machine	machine	NOUN
cana-6314	31	5	learning	learn	VERB
cana-6314	31	6	workflow	workflow	NOUN
cana-6314	31	7	for	for	ADP
cana-6314	31	8	diabetes	diabetes	NOUN
cana-6314	31	9	detection	detection	NOUN
cana-6314	31	10	skyrocketed	skyrocket	VERB
cana-6314	31	11	as	as	ADP
cana-6314	31	12	a	a	DET
cana-6314	31	13	result	result	NOUN
cana-6314	31	14	of	of	ADP
cana-6314	31	15	sedentary	sedentary	ADJ
cana-6314	31	16	life	life	NOUN
cana-6314	31	17	styles	style	NOUN
cana-6314	31	18	,	,	PUNCT
cana-6314	31	19	urbanization	urbanization	NOUN
cana-6314	31	20	,	,	PUNCT
cana-6314	31	21	enhanced	enhance	VERB
cana-6314	31	22	technology	technology	NOUN
cana-6314	31	23	,	,	PUNCT
cana-6314	31	24	longer	long	ADJ
cana-6314	31	25	life	life	NOUN
cana-6314	31	26	expectancies	expectancy	NOUN
cana-6314	31	27	,	,	PUNCT
cana-6314	31	28	and	and	CCONJ
cana-6314	31	29	nutritional	nutritional	ADJ
cana-6314	31	30	changes	change	NOUN
cana-6314	31	31	.	.	PUNCT
cana-6314	32	1	more	more	ADJ
cana-6314	32	2	than	than	ADP
cana-6314	32	3	425	425	NUM
cana-6314	32	4	million	million	NUM
cana-6314	32	5	individuals	individual	NOUN
cana-6314	32	6	worldwide	worldwide	ADV
cana-6314	32	7	suffered	suffer	VERB
cana-6314	32	8	from	from	ADP
cana-6314	32	9	communications	communication	NOUN
cana-6314	32	10	on	on	ADP
cana-6314	32	11	applied	apply	VERB
cana-6314	32	12	nonlinear	nonlinear	ADJ
cana-6314	32	13	analysis	analysis	NOUN
cana-6314	32	14	issn	issn	NOUN
cana-6314	32	15	:	:	PUNCT
cana-6314	32	16	1074	1074	NUM
cana-6314	32	17	-	-	PUNCT
cana-6314	32	18	133x	133x	NUM
cana-6314	32	19	vol	vol	NOUN
cana-6314	32	20	32	32	NUM
cana-6314	32	21	no	no	NOUN
cana-6314	32	22	.	.	PUNCT
cana-6314	33	1	1s	1s	NUM
cana-6314	33	2	(	(	PUNCT
cana-6314	33	3	2025	2025	NUM
cana-6314	33	4	)	)	PUNCT
cana-6314	33	5	758	758	NUM
cana-6314	33	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	33	7	diabetes	diabetes	NOUN
cana-6314	33	8	in	in	ADP
cana-6314	33	9	2017	2017	NUM
cana-6314	33	10	the	the	DET
cana-6314	33	11	most	most	ADV
cana-6314	33	12	common	common	ADJ
cana-6314	33	13	diseases	disease	NOUN
cana-6314	33	14	impacting	impact	VERB
cana-6314	33	15	people	people	NOUN
cana-6314	33	16	today	today	NOUN
cana-6314	33	17	.	.	PUNCT
cana-6314	34	1	in	in	ADP
cana-6314	34	2	2017	2017	NUM
cana-6314	34	3	,	,	PUNCT
cana-6314	34	4	82	82	NUM
cana-6314	34	5	million	million	NUM
cana-6314	34	6	people	people	NOUN
cana-6314	34	7	in	in	ADP
cana-6314	34	8	india	india	PROPN
cana-6314	34	9	received	receive	VERB
cana-6314	34	10	a	a	DET
cana-6314	34	11	diabetes	diabetes	NOUN
cana-6314	34	12	diagnosis	diagnosis	NOUN
cana-6314	34	13	.	.	PUNCT
cana-6314	35	1	t2	t2	NOUN
cana-6314	35	2	dm	dm	PROPN
cana-6314	35	3	affects	affect	VERB
cana-6314	35	4	90	90	NUM
cana-6314	35	5	%	%	NOUN
cana-6314	35	6	of	of	ADP
cana-6314	35	7	diabetic	diabetic	ADJ
cana-6314	35	8	people	people	NOUN
cana-6314	35	9	.	.	PUNCT
cana-6314	36	1	as	as	SCONJ
cana-6314	36	2	the	the	DET
cana-6314	36	3	primary	primary	ADJ
cana-6314	36	4	causes	cause	NOUN
cana-6314	36	5	of	of	ADP
cana-6314	36	6	type	type	NOUN
cana-6314	36	7	2	2	NUM
cana-6314	36	8	diabetes	diabetes	NOUN
cana-6314	36	9	,	,	PUNCT
cana-6314	36	10	unhealthy	unhealthy	ADJ
cana-6314	36	11	eating	eating	NOUN
cana-6314	36	12	habits	habit	NOUN
cana-6314	36	13	and	and	CCONJ
cana-6314	36	14	little	little	ADJ
cana-6314	36	15	to	to	ADP
cana-6314	36	16	no	no	DET
cana-6314	36	17	exercise	exercise	NOUN
cana-6314	36	18	lead	lead	NOUN
cana-6314	36	19	to	to	ADP
cana-6314	36	20	overweight	overweight	VERB
cana-6314	36	21	,	,	PUNCT
cana-6314	36	22	obesity	obesity	NOUN
cana-6314	36	23	,	,	PUNCT
cana-6314	36	24	high	high	ADJ
cana-6314	36	25	blood	blood	NOUN
cana-6314	36	26	pressure	pressure	NOUN
cana-6314	36	27	,	,	PUNCT
cana-6314	36	28	and	and	CCONJ
cana-6314	36	29	eventually	eventually	ADV
cana-6314	36	30	diabetes	diabete	NOUN
cana-6314	36	31	affects	affect	VERB
cana-6314	36	32	people	people	NOUN
cana-6314	36	33	for	for	ADP
cana-6314	36	34	a	a	DET
cana-6314	36	35	long	long	ADJ
cana-6314	36	36	time	time	NOUN
cana-6314	36	37	and	and	CCONJ
cana-6314	36	38	has	have	VERB
cana-6314	36	39	severe	severe	ADJ
cana-6314	36	40	,	,	PUNCT
cana-6314	36	41	long	long	ADV
cana-6314	36	42	-	-	PUNCT
cana-6314	36	43	lasting	last	VERB
cana-6314	36	44	side	side	NOUN
cana-6314	36	45	effects	effect	NOUN
cana-6314	36	46	.	.	PUNCT
cana-6314	37	1	because	because	SCONJ
cana-6314	37	2	of	of	ADP
cana-6314	37	3	the	the	DET
cana-6314	37	4	high	high	ADJ
cana-6314	37	5	expense	expense	NOUN
cana-6314	37	6	of	of	ADP
cana-6314	37	7	treatment	treatment	NOUN
cana-6314	37	8	,	,	PUNCT
cana-6314	37	9	diabetes	diabetes	NOUN
cana-6314	37	10	puts	put	VERB
cana-6314	37	11	requires	require	VERB
cana-6314	37	12	medical	medical	ADJ
cana-6314	37	13	assistance	assistance	NOUN
cana-6314	37	14	to	to	PART
cana-6314	37	15	mitigate	mitigate	VERB
cana-6314	37	16	or	or	CCONJ
cana-6314	37	17	prevent	prevent	VERB
cana-6314	37	18	its	its	PRON
cana-6314	37	19	social	social	ADJ
cana-6314	37	20	and	and	CCONJ
cana-6314	37	21	economic	economic	ADJ
cana-6314	37	22	effects	effect	NOUN
cana-6314	37	23	.	.	PUNCT
cana-6314	38	1	since	since	SCONJ
cana-6314	38	2	attitudes	attitude	NOUN
cana-6314	38	3	,	,	PUNCT
cana-6314	38	4	beliefs	belief	NOUN
cana-6314	38	5	,	,	PUNCT
cana-6314	38	6	and	and	CCONJ
cana-6314	38	7	behaviours	behaviour	NOUN
cana-6314	38	8	have	have	AUX
cana-6314	38	9	been	be	AUX
cana-6314	38	10	shown	show	VERB
cana-6314	38	11	to	to	PART
cana-6314	38	12	constitute	constitute	VERB
cana-6314	38	13	the	the	DET
cana-6314	38	14	foundation	foundation	NOUN
cana-6314	38	15	for	for	ADP
cana-6314	38	16	the	the	DET
cana-6314	38	17	treatment	treatment	NOUN
cana-6314	38	18	of	of	ADP
cana-6314	38	19	diabetes	diabetes	NOUN
cana-6314	38	20	,	,	PUNCT
cana-6314	38	21	self	self	NOUN
cana-6314	38	22	-	-	PUNCT
cana-6314	38	23	care	care	NOUN
cana-6314	38	24	is	be	AUX
cana-6314	38	25	essential	essential	ADJ
cana-6314	38	26	to	to	ADP
cana-6314	38	27	its	its	PRON
cana-6314	38	28	effective	effective	ADJ
cana-6314	38	29	management	management	NOUN
cana-6314	38	30	.	.	PUNCT
cana-6314	38	31	.	.	PUNCT
cana-6314	39	1	figure	figure	VERB
cana-6314	40	1	2	2	NUM
cana-6314	40	2	.	.	PUNCT
cana-6314	40	3	machine	machine	NOUN
cana-6314	40	4	learning	learn	VERB
cana-6314	40	5	workflow	workflow	NOUN
cana-6314	40	6	for	for	ADP
cana-6314	40	7	diabetes	diabetes	NOUN
cana-6314	40	8	prediction	prediction	NOUN
cana-6314	40	9	"	"	PUNCT
cana-6314	40	10	according	accord	VERB
cana-6314	40	11	to	to	ADP
cana-6314	40	12	the	the	DET
cana-6314	40	13	health	health	NOUN
cana-6314	40	14	belief	belief	NOUN
cana-6314	40	15	model	model	NOUN
cana-6314	40	16	,	,	PUNCT
cana-6314	40	17	people	people	NOUN
cana-6314	40	18	's	's	PART
cana-6314	40	19	behaviour	behaviour	NOUN
cana-6314	40	20	may	may	AUX
cana-6314	40	21	be	be	AUX
cana-6314	40	22	influenced	influence	VERB
cana-6314	40	23	by	by	ADP
cana-6314	40	24	their	their	PRON
cana-6314	40	25	own	own	ADJ
cana-6314	40	26	views	view	NOUN
cana-6314	40	27	of	of	ADP
cana-6314	40	28	health	health	NOUN
cana-6314	40	29	and	and	CCONJ
cana-6314	40	30	illness	illness	NOUN
cana-6314	40	31	.	.	PUNCT
cana-6314	41	1	it	it	PRON
cana-6314	41	2	is	be	AUX
cana-6314	41	3	claimed	claim	VERB
cana-6314	41	4	that	that	SCONJ
cana-6314	41	5	a	a	DET
cana-6314	41	6	person	person	NOUN
cana-6314	41	7	's	's	PART
cana-6314	41	8	behaviour	behaviour	NOUN
cana-6314	41	9	concerning	concern	VERB
cana-6314	41	10	their	their	PRON
cana-6314	41	11	health	health	NOUN
cana-6314	41	12	,	,	PUNCT
cana-6314	41	13	the	the	DET
cana-6314	41	14	seriousness	seriousness	NOUN
cana-6314	41	15	of	of	ADP
cana-6314	41	16	their	their	PRON
cana-6314	41	17	sickness	sickness	NOUN
cana-6314	41	18	,	,	PUNCT
cana-6314	41	19	and	and	CCONJ
cana-6314	41	20	the	the	DET
cana-6314	41	21	usefulness	usefulness	NOUN
cana-6314	41	22	of	of	ADP
cana-6314	41	23	their	their	PRON
cana-6314	41	24	thoughts	thought	NOUN
cana-6314	41	25	all	all	DET
cana-6314	41	26	influence	influence	NOUN
cana-6314	41	27	how	how	SCONJ
cana-6314	41	28	they	they	PRON
cana-6314	41	29	interact	interact	VERB
cana-6314	41	30	with	with	ADP
cana-6314	41	31	their	their	PRON
cana-6314	41	32	illness	illness	NOUN
cana-6314	41	33	;	;	PUNCT
cana-6314	41	34	if	if	SCONJ
cana-6314	41	35	these	these	DET
cana-6314	41	36	factors	factor	NOUN
cana-6314	41	37	are	be	AUX
cana-6314	41	38	ignored	ignore	VERB
cana-6314	41	39	,	,	PUNCT
cana-6314	41	40	therapies	therapy	NOUN
cana-6314	41	41	will	will	AUX
cana-6314	41	42	not	not	PART
cana-6314	41	43	be	be	AUX
cana-6314	41	44	successful	successful	ADJ
cana-6314	41	45	.	.	PUNCT
cana-6314	42	1	the	the	DET
cana-6314	42	2	deadly	deadly	ADJ
cana-6314	42	3	chronic	chronic	ADJ
cana-6314	42	4	illness	illness	NOUN
cana-6314	42	5	known	know	VERB
cana-6314	42	6	as	as	ADP
cana-6314	42	7	diabetes	diabetes	NOUN
cana-6314	42	8	has	have	AUX
cana-6314	42	9	impacted	impact	VERB
cana-6314	42	10	millions	million	NOUN
cana-6314	42	11	of	of	ADP
cana-6314	42	12	individuals	individual	NOUN
cana-6314	42	13	worldwide	worldwide	ADV
cana-6314	42	14	.	.	PUNCT
cana-6314	43	1	making	make	VERB
cana-6314	43	2	the	the	DET
cana-6314	43	3	condition	condition	NOUN
cana-6314	43	4	a	a	DET
cana-6314	43	5	global	global	ADJ
cana-6314	43	6	concern	concern	NOUN
cana-6314	43	7	.	.	PUNCT
cana-6314	44	1	atlas	atlas	PROPN
cana-6314	44	2	2021	2021	NUM
cana-6314	44	3	,	,	PUNCT
cana-6314	44	4	536.6	536.6	NUM
cana-6314	44	5	million	million	NUM
cana-6314	44	6	people	people	NOUN
cana-6314	44	7	between	between	ADP
cana-6314	44	8	the	the	DET
cana-6314	44	9	ages	age	NOUN
cana-6314	44	10	of	of	ADP
cana-6314	44	11	20	20	NUM
cana-6314	44	12	and	and	CCONJ
cana-6314	44	13	79	79	NUM
cana-6314	44	14	worldwide	worldwide	ADV
cana-6314	44	15	now	now	ADV
cana-6314	44	16	have	have	VERB
cana-6314	44	17	diabetes	diabetes	NOUN
cana-6314	44	18	.	.	PUNCT
cana-6314	45	1	furthermore	furthermore	ADV
cana-6314	45	2	,	,	PUNCT
cana-6314	45	3	it	it	PRON
cana-6314	45	4	is	be	AUX
cana-6314	45	5	anticipated	anticipate	VERB
cana-6314	45	6	to	to	PART
cana-6314	45	7	have	have	VERB
cana-6314	45	8	an	an	DET
cana-6314	45	9	impact	impact	NOUN
cana-6314	45	10	on	on	ADP
cana-6314	45	11	642.7	642.7	NUM
cana-6314	45	12	million	million	NUM
cana-6314	45	13	individuals	individual	NOUN
cana-6314	45	14	by	by	ADP
cana-6314	45	15	2030	2030	NUM
cana-6314	45	16	and	and	CCONJ
cana-6314	45	17	783.2	783.2	NUM
cana-6314	45	18	million	million	NUM
cana-6314	45	19	by	by	ADP
cana-6314	45	20	2045	2045	NUM
cana-6314	45	21	.	.	PUNCT
cana-6314	46	1	it	it	PRON
cana-6314	46	2	is	be	AUX
cana-6314	46	3	estimated	estimate	VERB
cana-6314	46	4	that	that	SCONJ
cana-6314	46	5	diabetes	diabetes	NOUN
cana-6314	46	6	mellitus	mellitus	NOUN
cana-6314	46	7	was	be	AUX
cana-6314	46	8	the	the	DET
cana-6314	46	9	cause	cause	NOUN
cana-6314	46	10	of	of	ADP
cana-6314	46	11	6.7	6.7	NUM
cana-6314	46	12	million	million	NUM
cana-6314	46	13	deaths	death	NOUN
cana-6314	46	14	worldwide	worldwide	ADV
cana-6314	46	15	in	in	ADP
cana-6314	46	16	2021	2021	NUM
cana-6314	46	17	.	.	PUNCT
cana-6314	47	1	india	india	PROPN
cana-6314	47	2	will	will	AUX
cana-6314	47	3	have	have	VERB
cana-6314	47	4	124.9	124.9	NUM
cana-6314	47	5	million	million	NUM
cana-6314	47	6	diabetes	diabetes	NOUN
cana-6314	47	7	in	in	ADP
cana-6314	47	8	2045	2045	NUM
cana-6314	47	9	,	,	PUNCT
cana-6314	47	10	ranking	rank	VERB
cana-6314	47	11	second	second	ADV
cana-6314	47	12	globally	globally	ADV
cana-6314	47	13	,	,	PUNCT
cana-6314	47	14	according	accord	VERB
cana-6314	47	15	to	to	ADP
cana-6314	47	16	the	the	DET
cana-6314	47	17	idf	idf	PROPN
cana-6314	47	18	atlas	atlas	PROPN
cana-6314	47	19	2021	2021	NUM
cana-6314	48	1	[	[	X
cana-6314	48	2	2	2	NUM
cana-6314	48	3	]	]	PUNCT
cana-6314	48	4	.	.	PUNCT
cana-6314	49	1	to	to	PART
cana-6314	49	2	get	get	VERB
cana-6314	49	3	diabetes	diabetes	NOUN
cana-6314	49	4	predictions	prediction	NOUN
cana-6314	49	5	,	,	PUNCT
cana-6314	49	6	users	user	NOUN
cana-6314	49	7	can	can	AUX
cana-6314	49	8	use	use	VERB
cana-6314	49	9	this	this	DET
cana-6314	49	10	program	program	NOUN
cana-6314	49	11	on	on	ADP
cana-6314	49	12	their	their	PRON
cana-6314	49	13	pcs	pc	NOUN
cana-6314	49	14	or	or	CCONJ
cana-6314	49	15	cell	cell	NOUN
cana-6314	49	16	phones	phone	NOUN
cana-6314	49	17	.	.	PUNCT
cana-6314	50	1	2	2	X
cana-6314	50	2	.	.	X
cana-6314	50	3	literature	literature	NOUN
cana-6314	50	4	survey	survey	NOUN
cana-6314	50	5	matter	matter	NOUN
cana-6314	50	6	where	where	SCONJ
cana-6314	50	7	they	they	PRON
cana-6314	50	8	live	live	VERB
cana-6314	50	9	.	.	PUNCT
cana-6314	51	1	it	it	PRON
cana-6314	51	2	has	have	AUX
cana-6314	51	3	attracted	attract	VERB
cana-6314	51	4	a	a	DET
cana-6314	51	5	lot	lot	NOUN
cana-6314	51	6	of	of	ADP
cana-6314	51	7	researchers	researcher	NOUN
cana-6314	51	8	,	,	PUNCT
cana-6314	51	9	especially	especially	ADV
cana-6314	51	10	in	in	ADP
cana-6314	51	11	the	the	DET
cana-6314	51	12	medical	medical	ADJ
cana-6314	51	13	sciences	science	NOUN
cana-6314	51	14	.	.	PUNCT
cana-6314	52	1	however	however	ADV
cana-6314	52	2	,	,	PUNCT
cana-6314	52	3	academics	academic	NOUN
cana-6314	52	4	are	be	AUX
cana-6314	52	5	currently	currently	ADV
cana-6314	52	6	also	also	ADV
cana-6314	52	7	working	work	VERB
cana-6314	52	8	on	on	ADP
cana-6314	52	9	creating	create	VERB
cana-6314	52	10	computational	computational	ADJ
cana-6314	52	11	intelligence	intelligence	NOUN
cana-6314	52	12	frameworks	framework	NOUN
cana-6314	52	13	for	for	ADP
cana-6314	52	14	disease	disease	NOUN
cana-6314	52	15	because	because	SCONJ
cana-6314	52	16	of	of	ADP
cana-6314	52	17	computer	computer	NOUN
cana-6314	52	18	systems	system	NOUN
cana-6314	52	19	'	'	PART
cana-6314	52	20	ability	ability	NOUN
cana-6314	52	21	to	to	PART
cana-6314	52	22	build	build	VERB
cana-6314	52	23	effective	effective	ADJ
cana-6314	52	24	prediction	prediction	NOUN
cana-6314	52	25	systems	system	NOUN
cana-6314	52	26	and	and	CCONJ
cana-6314	52	27	new	new	ADJ
cana-6314	52	28	treatment	treatment	NOUN
cana-6314	52	29	paths	path	NOUN
cana-6314	52	30	for	for	ADP
cana-6314	52	31	the	the	DET
cana-6314	52	32	same	same	ADJ
cana-6314	52	33	.	.	PUNCT
cana-6314	53	1	over	over	ADP
cana-6314	53	2	the	the	DET
cana-6314	53	3	past	past	ADJ
cana-6314	53	4	ten	ten	NUM
cana-6314	53	5	years	year	NOUN
cana-6314	53	6	,	,	PUNCT
cana-6314	53	7	a	a	DET
cana-6314	53	8	lot	lot	NOUN
cana-6314	53	9	of	of	ADP
cana-6314	53	10	work	work	NOUN
cana-6314	53	11	has	have	AUX
cana-6314	53	12	been	be	AUX
cana-6314	53	13	done	do	VERB
cana-6314	53	14	to	to	PART
cana-6314	53	15	develop	develop	VERB
cana-6314	53	16	prediction	prediction	NOUN
cana-6314	53	17	models	model	NOUN
cana-6314	53	18	for	for	ADP
cana-6314	53	19	diabetes	diabetes	NOUN
cana-6314	53	20	diagnosis	diagnosis	NOUN
cana-6314	53	21	and	and	CCONJ
cana-6314	53	22	forecasting	forecasting	NOUN
cana-6314	53	23	.	.	PUNCT
cana-6314	54	1	the	the	DET
cana-6314	54	2	automatic	automatic	ADJ
cana-6314	54	3	diagnosis	diagnosis	NOUN
cana-6314	54	4	of	of	ADP
cana-6314	54	5	communications	communication	NOUN
cana-6314	54	6	on	on	ADP
cana-6314	54	7	applied	apply	VERB
cana-6314	54	8	nonlinear	nonlinear	ADJ
cana-6314	54	9	analysis	analysis	NOUN
cana-6314	54	10	issn	issn	NOUN
cana-6314	54	11	:	:	PUNCT
cana-6314	54	12	1074	1074	NUM
cana-6314	54	13	-	-	PUNCT
cana-6314	54	14	133x	133x	NUM
cana-6314	54	15	vol	vol	NOUN
cana-6314	54	16	32	32	NUM
cana-6314	54	17	no	no	NOUN
cana-6314	54	18	.	.	PUNCT
cana-6314	55	1	1s	1s	NUM
cana-6314	55	2	(	(	PUNCT
cana-6314	55	3	2025	2025	NUM
cana-6314	55	4	)	)	PUNCT
cana-6314	55	5	759	759	NUM
cana-6314	55	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	55	7	diabetes	diabetes	NOUN
cana-6314	55	8	is	be	AUX
cana-6314	55	9	a	a	DET
cana-6314	55	10	major	major	ADJ
cana-6314	55	11	healthcare	healthcare	NOUN
cana-6314	55	12	concern	concern	NOUN
cana-6314	55	13	in	in	ADP
cana-6314	55	14	the	the	DET
cana-6314	55	15	real	real	ADJ
cana-6314	55	16	world	world	NOUN
cana-6314	55	17	.	.	PUNCT
cana-6314	56	1	better	well	ADJ
cana-6314	56	2	therapy	therapy	NOUN
cana-6314	56	3	to	to	PART
cana-6314	56	4	reduce	reduce	VERB
cana-6314	56	5	complications	complication	NOUN
cana-6314	56	6	and	and	CCONJ
cana-6314	56	7	slow	slow	VERB
cana-6314	56	8	the	the	DET
cana-6314	56	9	progression	progression	NOUN
cana-6314	56	10	of	of	ADP
cana-6314	56	11	diabetes	diabetes	NOUN
cana-6314	56	12	depends	depend	VERB
cana-6314	56	13	on	on	ADP
cana-6314	56	14	early	early	ADJ
cana-6314	56	15	diabetes	diabetes	NOUN
cana-6314	56	16	identification	identification	NOUN
cana-6314	56	17	.	.	PUNCT
cana-6314	57	1	three	three	NUM
cana-6314	57	2	essential	essential	ADJ
cana-6314	57	3	components	component	NOUN
cana-6314	57	4	of	of	ADP
cana-6314	57	5	artificial	artificial	ADJ
cana-6314	57	6	intelligence	intelligence	NOUN
cana-6314	57	7	—	—	PUNCT
cana-6314	57	8	are	be	AUX
cana-6314	57	9	presently	presently	ADV
cana-6314	57	10	being	be	AUX
cana-6314	57	11	studied	study	VERB
cana-6314	57	12	and	and	CCONJ
cana-6314	57	13	used	use	VERB
cana-6314	57	14	in	in	ADP
cana-6314	57	15	healthcare	healthcare	PROPN
cana-6314	57	16	analytics	analytic	NOUN
cana-6314	57	17	,	,	PUNCT
cana-6314	57	18	including	include	VERB
cana-6314	57	19	diabetes	diabetes	NOUN
cana-6314	57	20	,	,	PUNCT
cana-6314	57	21	with	with	ADP
cana-6314	57	22	the	the	DET
cana-6314	57	23	potential	potential	NOUN
cana-6314	57	24	to	to	PART
cana-6314	57	25	save	save	VERB
cana-6314	57	26	lives	life	NOUN
cana-6314	57	27	[	[	X
cana-6314	57	28	14	14	NUM
cana-6314	57	29	]	]	PUNCT
cana-6314	57	30	.	.	PUNCT
cana-6314	58	1	this	this	DET
cana-6314	58	2	chapter	chapter	NOUN
cana-6314	58	3	presents	present	VERB
cana-6314	58	4	and	and	CCONJ
cana-6314	58	5	discusses	discuss	VERB
cana-6314	58	6	the	the	DET
cana-6314	58	7	substantial	substantial	ADJ
cana-6314	58	8	research	research	NOUN
cana-6314	58	9	on	on	ADP
cana-6314	58	10	that	that	PRON
cana-6314	58	11	has	have	AUX
cana-6314	58	12	been	be	AUX
cana-6314	58	13	conducted	conduct	VERB
cana-6314	58	14	using	use	VERB
cana-6314	58	15	machine	machine	NOUN
cana-6314	58	16	learning	learning	NOUN
cana-6314	58	17	and	and	CCONJ
cana-6314	58	18	deep	deep	ADJ
cana-6314	58	19	learning	learning	NOUN
cana-6314	58	20	tools	tool	NOUN
cana-6314	58	21	and	and	CCONJ
cana-6314	58	22	algorithms	algorithm	NOUN
cana-6314	58	23	for	for	ADP
cana-6314	58	24	forecast	forecast	NOUN
cana-6314	58	25	,	,	PUNCT
cana-6314	58	26	detection	detection	NOUN
cana-6314	58	27	,	,	PUNCT
cana-6314	58	28	diagnosis	diagnosis	NOUN
cana-6314	58	29	,	,	PUNCT
cana-6314	58	30	etc	etc	X
cana-6314	58	31	.	.	X
cana-6314	59	1	researchers	researcher	NOUN
cana-6314	59	2	have	have	AUX
cana-6314	59	3	used	use	VERB
cana-6314	59	4	a	a	DET
cana-6314	59	5	range	range	NOUN
cana-6314	59	6	of	of	ADP
cana-6314	59	7	datasets	dataset	NOUN
cana-6314	59	8	,	,	PUNCT
cana-6314	59	9	algorithms	algorithm	NOUN
cana-6314	59	10	,	,	PUNCT
cana-6314	59	11	and	and	CCONJ
cana-6314	59	12	methodologies	methodology	NOUN
cana-6314	59	13	to	to	PART
cana-6314	59	14	better	well	ADV
cana-6314	59	15	predict	predict	VERB
cana-6314	59	16	the	the	DET
cana-6314	59	17	estimation	estimation	NOUN
cana-6314	59	18	of	of	ADP
cana-6314	59	19	diabetes	diabetes	NOUN
cana-6314	59	20	mellitus	mellitus	NOUN
cana-6314	59	21	disease	disease	NOUN
cana-6314	59	22	[	[	X
cana-6314	59	23	15	15	NUM
cana-6314	59	24	]	]	PUNCT
cana-6314	59	25	.	.	PUNCT
cana-6314	60	1	there	there	PRON
cana-6314	60	2	are	be	VERB
cana-6314	60	3	numerous	numerous	ADJ
cana-6314	60	4	choices	choice	NOUN
cana-6314	60	5	on	on	ADP
cana-6314	60	6	the	the	DET
cana-6314	60	7	market	market	NOUN
cana-6314	60	8	for	for	ADP
cana-6314	60	9	keeping	keep	VERB
cana-6314	60	10	an	an	DET
cana-6314	60	11	eye	eye	NOUN
cana-6314	60	12	on	on	ADP
cana-6314	60	13	diabetic	diabetic	ADJ
cana-6314	60	14	patients	patient	NOUN
cana-6314	60	15	'	'	PART
cana-6314	60	16	health	health	NOUN
cana-6314	60	17	.	.	PUNCT
cana-6314	61	1	these	these	DET
cana-6314	61	2	systems	system	NOUN
cana-6314	61	3	are	be	AUX
cana-6314	61	4	quite	quite	ADV
cana-6314	61	5	expensive	expensive	ADJ
cana-6314	61	6	and	and	CCONJ
cana-6314	61	7	large	large	ADJ
cana-6314	61	8	.	.	PUNCT
cana-6314	62	1	things	thing	NOUN
cana-6314	62	2	,	,	PUNCT
cana-6314	62	3	can	can	AUX
cana-6314	62	4	be	be	AUX
cana-6314	62	5	used	use	VERB
cana-6314	62	6	to	to	PART
cana-6314	62	7	create	create	VERB
cana-6314	62	8	a	a	DET
cana-6314	62	9	smart	smart	ADJ
cana-6314	62	10	health	health	NOUN
cana-6314	62	11	status	status	NOUN
cana-6314	62	12	monitoring	monitor	VERB
cana-6314	62	13	module	module	NOUN
cana-6314	62	14	that	that	PRON
cana-6314	62	15	can	can	AUX
cana-6314	62	16	help	help	VERB
cana-6314	62	17	with	with	ADP
cana-6314	62	18	a	a	DET
cana-6314	62	19	number	number	NOUN
cana-6314	62	20	of	of	ADP
cana-6314	62	21	illnesses	illness	NOUN
cana-6314	62	22	,	,	PUNCT
cana-6314	62	23	including	include	VERB
cana-6314	62	24	diabetes	diabetes	NOUN
cana-6314	62	25	mellitus	mellitus	NOUN
cana-6314	63	1	[	[	X
cana-6314	63	2	16	16	NUM
cana-6314	63	3	]	]	PUNCT
cana-6314	63	4	.	.	PUNCT
cana-6314	64	1	all	all	PRON
cana-6314	64	2	of	of	ADP
cana-6314	64	3	the	the	DET
cana-6314	64	4	research	research	NOUN
cana-6314	64	5	that	that	PRON
cana-6314	64	6	has	have	AUX
cana-6314	64	7	been	be	AUX
cana-6314	64	8	done	do	VERB
cana-6314	64	9	thus	thus	ADV
cana-6314	64	10	far	far	ADV
cana-6314	64	11	and	and	CCONJ
cana-6314	64	12	that	that	PRON
cana-6314	64	13	will	will	AUX
cana-6314	64	14	be	be	AUX
cana-6314	64	15	done	do	VERB
cana-6314	64	16	in	in	ADP
cana-6314	64	17	the	the	DET
cana-6314	64	18	future	future	NOUN
cana-6314	64	19	has	have	AUX
cana-6314	64	20	been	be	AUX
cana-6314	64	21	examined	examine	VERB
cana-6314	64	22	.	.	PUNCT
cana-6314	65	1	table	table	NOUN
cana-6314	65	2	1	1	NUM
cana-6314	65	3	.	.	PUNCT
cana-6314	66	1	literature	literature	NOUN
cana-6314	66	2	review	review	PROPN
cana-6314	66	3	on	on	ADP
cana-6314	66	4	diabetes	diabetes	NOUN
cana-6314	66	5	prediction	prediction	NOUN
cana-6314	66	6	using	use	VERB
cana-6314	66	7	machine	machine	NOUN
cana-6314	66	8	learning	learn	VERB
cana-6314	66	9	study	study	NOUN
cana-6314	66	10	method	method	NOUN
cana-6314	66	11	/	/	SYM
cana-6314	66	12	approach	approach	NOUN
cana-6314	66	13	dataset	dataset	NOUN
cana-6314	66	14	performance	performance	NOUN
cana-6314	66	15	metrics	metric	NOUN
cana-6314	66	16	kaur	kaur	PROPN
cana-6314	66	17	&	&	CCONJ
cana-6314	66	18	kumari	kumari	PROPN
cana-6314	66	19	(	(	PUNCT
cana-6314	66	20	2020	2020	NUM
cana-6314	66	21	)	)	PUNCT
cana-6314	67	1	rbf	rbf	PROPN
cana-6314	67	2	kernel	kernel	PROPN
cana-6314	67	3	svm	svm	PROPN
cana-6314	67	4	,	,	PUNCT
cana-6314	67	5	ann	ann	PROPN
cana-6314	67	6	,	,	PUNCT
cana-6314	67	7	mdr	mdr	PROPN
cana-6314	67	8	,	,	PUNCT
cana-6314	67	9	linear	linear	PROPN
cana-6314	67	10	svm	svm	PROPN
cana-6314	67	11	,	,	PUNCT
cana-6314	67	12	k	k	PROPN
cana-6314	67	13	-	-	PUNCT
cana-6314	67	14	nn	nn	PROPN
cana-6314	67	15	pima	pima	PROPN
cana-6314	67	16	indians	indians	PROPN
cana-6314	67	17	diabetes	diabete	VERB
cana-6314	67	18	dataset	dataset	NOUN
cana-6314	67	19	(	(	PUNCT
cana-6314	67	20	pidd	pidd	ADJ
cana-6314	67	21	)	)	PUNCT
cana-6314	67	22	accuracy	accuracy	NOUN
cana-6314	67	23	(	(	PUNCT
cana-6314	67	24	acc	acc	PROPN
cana-6314	67	25	)	)	PUNCT
cana-6314	67	26	,	,	PUNCT
cana-6314	67	27	auc	auc	NOUN
cana-6314	67	28	maniruzzaman	maniruzzaman	NOUN
cana-6314	67	29	et	et	PROPN
cana-6314	67	30	al	al	PROPN
cana-6314	67	31	.	.	PROPN
cana-6314	68	1	(	(	PUNCT
cana-6314	68	2	2020	2020	NUM
cana-6314	68	3	)	)	PUNCT
cana-6314	68	4	nb	nb	PROPN
cana-6314	68	5	,	,	PUNCT
cana-6314	68	6	dt	dt	X
cana-6314	68	7	,	,	PUNCT
cana-6314	68	8	adaboost	adaboost	ADV
cana-6314	68	9	,	,	PUNCT
cana-6314	68	10	pima	pima	PROPN
cana-6314	68	11	indians	indians	PROPN
cana-6314	68	12	diabetes	diabete	VERB
cana-6314	68	13	dataset	dataset	NOUN
cana-6314	68	14	(	(	PUNCT
cana-6314	68	15	pidd	pidd	NOUN
cana-6314	68	16	)	)	PUNCT
cana-6314	68	17	precision	precision	NOUN
cana-6314	68	18	(	(	PUNCT
cana-6314	68	19	acc	acc	PROPN
cana-6314	68	20	)	)	PUNCT
cana-6314	68	21	,	,	PUNCT
cana-6314	68	22	auc	auc	PROPN
cana-6314	68	23	kopitar	kopitar	PROPN
cana-6314	68	24	et	et	PROPN
cana-6314	68	25	al	al	PROPN
cana-6314	68	26	.	.	PROPN
cana-6314	69	1	(	(	PUNCT
cana-6314	69	2	2020	2020	NUM
cana-6314	69	3	)	)	PUNCT
cana-6314	69	4	glmnet	glmnet	NOUN
cana-6314	69	5	,	,	PUNCT
cana-6314	69	6	rf	rf	ADJ
cana-6314	69	7	,	,	PUNCT
cana-6314	69	8	xgboost	xgboost	ADV
cana-6314	69	9	,	,	PUNCT
cana-6314	69	10	lightgbm	lightgbm	VERB
cana-6314	69	11	luzhou	luzhou	ADJ
cana-6314	69	12	physical	physical	ADJ
cana-6314	69	13	exams	exam	NOUN
cana-6314	69	14	dataset	dataset	VERB
cana-6314	69	15	(	(	PUNCT
cana-6314	69	16	china	china	PROPN
cana-6314	69	17	)	)	PUNCT
cana-6314	69	18	no	no	DET
cana-6314	69	19	specific	specific	ADJ
cana-6314	69	20	metrics	metric	NOUN
cana-6314	69	21	mentioned	mention	VERB
cana-6314	69	22	albahli	albahli	VERB
cana-6314	69	23	(	(	PUNCT
cana-6314	69	24	2020	2020	NUM
cana-6314	69	25	)	)	PUNCT
cana-6314	69	26	hybrid	hybrid	ADJ
cana-6314	69	27	model	model	NOUN
cana-6314	69	28	with	with	ADP
cana-6314	69	29	k	k	ADJ
cana-6314	69	30	-	-	PUNCT
cana-6314	69	31	means	means	NOUN
cana-6314	69	32	clustering	clustering	NOUN
cana-6314	69	33	,	,	PUNCT
cana-6314	69	34	rf	rf	ADJ
cana-6314	69	35	,	,	PUNCT
cana-6314	69	36	xgboost	xgboost	PRON
cana-6314	69	37	not	not	PART
cana-6314	69	38	specified	specify	VERB
cana-6314	69	39	not	not	PART
cana-6314	69	40	specified	specify	VERB
cana-6314	69	41	yahyaoui	yahyaoui	PROPN
cana-6314	69	42	et	et	PROPN
cana-6314	69	43	al	al	PROPN
cana-6314	69	44	.	.	PROPN
cana-6314	70	1	(	(	PUNCT
cana-6314	70	2	2019	2019	NUM
cana-6314	70	3	)	)	PUNCT
cana-6314	70	4	svm	svm	PROPN
cana-6314	70	5	,	,	PUNCT
cana-6314	70	6	rf	rf	PROPN
cana-6314	70	7	,	,	PUNCT
cana-6314	70	8	cnn	cnn	PROPN
cana-6314	70	9	(	(	PUNCT
cana-6314	70	10	deep	deep	ADJ
cana-6314	70	11	learning	learning	NOUN
cana-6314	70	12	)	)	PUNCT
cana-6314	70	13	not	not	PART
cana-6314	70	14	specified	specify	VERB
cana-6314	70	15	not	not	PART
cana-6314	70	16	specified	specify	VERB
cana-6314	70	17	zou	zou	PROPN
cana-6314	70	18	et	et	PROPN
cana-6314	70	19	al	al	PROPN
cana-6314	70	20	.	.	PROPN
cana-6314	71	1	(	(	PUNCT
cana-6314	71	2	2018	2018	NUM
cana-6314	71	3	)	)	PUNCT
cana-6314	71	4	decision	decision	NOUN
cana-6314	71	5	tree	tree	NOUN
cana-6314	71	6	,	,	PUNCT
cana-6314	71	7	random	random	ADJ
cana-6314	71	8	forest	forest	NOUN
cana-6314	71	9	,	,	PUNCT
cana-6314	71	10	luzhou	luzhou	PROPN
cana-6314	71	11	physical	physical	ADJ
cana-6314	71	12	exams	exam	NOUN
cana-6314	71	13	dataset	dataset	VERB
cana-6314	71	14	(	(	PUNCT
cana-6314	71	15	china	china	PROPN
cana-6314	71	16	)	)	PUNCT
cana-6314	71	17	accuracy	accuracy	NOUN
cana-6314	71	18	,	,	PUNCT
cana-6314	71	19	auc	auc	X
cana-6314	71	20	dinh	dinh	X
cana-6314	71	21	et	et	PROPN
cana-6314	71	22	al	al	PROPN
cana-6314	71	23	.	.	PROPN
cana-6314	72	1	(	(	PUNCT
cana-6314	72	2	2019	2019	NUM
cana-6314	72	3	)	)	PUNCT
cana-6314	72	4	svm	svm	PROPN
cana-6314	72	5	,	,	PUNCT
cana-6314	72	6	logistic	logistic	ADJ
cana-6314	72	7	regression	regression	NOUN
cana-6314	72	8	,	,	PUNCT
cana-6314	72	9	gradient	gradient	NOUN
cana-6314	72	10	boosting	boosting	NOUN
cana-6314	72	11	,	,	PUNCT
cana-6314	72	12	random	random	ADJ
cana-6314	72	13	forest	forest	NOUN
cana-6314	72	14	nhanes	nhane	NOUN
cana-6314	72	15	dataset	dataset	VERB
cana-6314	72	16	various	various	ADJ
cana-6314	72	17	performance	performance	NOUN
cana-6314	72	18	metrics	metric	NOUN
cana-6314	72	19	(	(	PUNCT
cana-6314	72	20	acc	acc	PROPN
cana-6314	72	21	,	,	PUNCT
cana-6314	72	22	auc	auc	NOUN
cana-6314	72	23	)	)	PUNCT
cana-6314	72	24	communications	communication	NOUN
cana-6314	72	25	on	on	ADP
cana-6314	72	26	applied	apply	VERB
cana-6314	72	27	nonlinear	nonlinear	ADJ
cana-6314	72	28	analysis	analysis	NOUN
cana-6314	72	29	issn	issn	NOUN
cana-6314	72	30	:	:	PUNCT
cana-6314	72	31	1074	1074	NUM
cana-6314	72	32	-	-	PUNCT
cana-6314	72	33	133x	133x	NUM
cana-6314	72	34	vol	vol	NOUN
cana-6314	72	35	32	32	NUM
cana-6314	73	1	no	no	NOUN
cana-6314	73	2	.	.	PUNCT
cana-6314	74	1	1s	1s	NUM
cana-6314	74	2	(	(	PUNCT
cana-6314	74	3	2025	2025	NUM
cana-6314	74	4	)	)	PUNCT
cana-6314	75	1	760	760	NUM
cana-6314	75	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-6314	75	3	choubey	choubey	NOUN
cana-6314	75	4	et	et	PROPN
cana-6314	75	5	al	al	PROPN
cana-6314	75	6	.	.	PROPN
cana-6314	76	1	(	(	PUNCT
cana-6314	76	2	2017	2017	NUM
cana-6314	76	3	)	)	PUNCT
cana-6314	76	4	naïve	naïve	ADJ
cana-6314	76	5	bayes	bayes	NOUN
cana-6314	76	6	(	(	PUNCT
cana-6314	76	7	nb	nb	NOUN
cana-6314	76	8	)	)	PUNCT
cana-6314	76	9	with	with	ADP
cana-6314	76	10	genetic	genetic	ADJ
cana-6314	76	11	pima	pima	PROPN
cana-6314	76	12	indians	indians	PROPN
cana-6314	76	13	diabetes	diabete	VERB
cana-6314	76	14	dataset	dataset	NOUN
cana-6314	76	15	(	(	PUNCT
cana-6314	76	16	pidd	pidd	PROPN
cana-6314	76	17	)	)	PUNCT
cana-6314	76	18	improved	improve	VERB
cana-6314	76	19	classification	classification	NOUN
cana-6314	76	20	performance	performance	NOUN
cana-6314	76	21	rajeswari	rajeswari	NOUN
cana-6314	76	22	and	and	CCONJ
cana-6314	76	23	prabhu	prabhu	NOUN
cana-6314	76	24	(	(	PUNCT
cana-6314	76	25	2019	2019	NUM
cana-6314	76	26	)	)	PUNCT
cana-6314	76	27	svm	svm	VERB
cana-6314	76	28	with	with	ADP
cana-6314	76	29	highest	high	ADJ
cana-6314	76	30	accuracy	accuracy	NOUN
cana-6314	76	31	for	for	ADP
cana-6314	76	32	diabetes	diabetes	NOUN
cana-6314	76	33	prediction	prediction	NOUN
cana-6314	76	34	not	not	PART
cana-6314	76	35	specified	specify	VERB
cana-6314	76	36	highest	high	ADJ
cana-6314	76	37	accuracy	accuracy	NOUN
cana-6314	76	38	(	(	PUNCT
cana-6314	76	39	svm	svm	PROPN
cana-6314	76	40	)	)	PUNCT
cana-6314	76	41	nilashi	nilashi	PROPN
cana-6314	76	42	et	et	PROPN
cana-6314	76	43	al	al	PROPN
cana-6314	76	44	.	.	PROPN
cana-6314	77	1	(	(	PUNCT
cana-6314	77	2	2017	2017	NUM
cana-6314	77	3	)	)	PUNCT
cana-6314	77	4	clustering	clustering	NOUN
cana-6314	77	5	,	,	PUNCT
cana-6314	77	6	noise	noise	NOUN
cana-6314	77	7	removal	removal	NOUN
cana-6314	77	8	,	,	PUNCT
cana-6314	78	1	classification	classification	NOUN
cana-6314	78	2	using	use	VERB
cana-6314	78	3	som	som	NOUN
cana-6314	78	4	,	,	PUNCT
cana-6314	78	5	pca	pca	PROPN
cana-6314	78	6	,	,	PUNCT
cana-6314	78	7	nn	nn	X
cana-6314	78	8	not	not	PART
cana-6314	78	9	specified	specify	VERB
cana-6314	78	10	not	not	PART
cana-6314	78	11	specified	specify	VERB
cana-6314	78	12	perveen	perveen	PROPN
cana-6314	78	13	et	et	PROPN
cana-6314	78	14	al	al	PROPN
cana-6314	78	15	.	.	PUNCT
cana-6314	79	1	(	(	PUNCT
cana-6314	79	2	2016	2016	NUM
cana-6314	79	3	)	)	PUNCT
cana-6314	79	4	adaboost	adaboost	ADV
cana-6314	79	5	,	,	PUNCT
cana-6314	79	6	bagging	bag	VERB
cana-6314	79	7	ensemble	ensemble	ADJ
cana-6314	79	8	,	,	PUNCT
cana-6314	79	9	j48	j48	PROPN
cana-6314	79	10	(	(	PUNCT
cana-6314	79	11	c4.5	c4.5	NOUN
cana-6314	79	12	)	)	PUNCT
cana-6314	79	13	decision	decision	NOUN
cana-6314	79	14	tree	tree	NOUN
cana-6314	79	15	not	not	PART
cana-6314	79	16	specified	specify	VERB
cana-6314	79	17	adaboost	adaboost	ADJ
cana-6314	79	18	performance	performance	NOUN
cana-6314	79	19	kazerouni	kazerouni	PROPN
cana-6314	79	20	et	et	PROPN
cana-6314	79	21	al	al	PROPN
cana-6314	79	22	.	.	PROPN
cana-6314	80	1	(	(	PUNCT
cana-6314	80	2	2020	2020	NUM
cana-6314	80	3	)	)	PUNCT
cana-6314	80	4	svm	svm	PROPN
cana-6314	80	5	,	,	PUNCT
cana-6314	80	6	k	k	PROPN
cana-6314	80	7	-	-	PUNCT
cana-6314	80	8	nn	nn	PROPN
cana-6314	80	9	,	,	PUNCT
cana-6314	80	10	ann	ann	PROPN
cana-6314	80	11	,	,	PUNCT
cana-6314	80	12	lr	lr	X
cana-6314	80	13	to	to	PART
cana-6314	80	14	diagnose	diagnose	VERB
cana-6314	80	15	type	type	NOUN
cana-6314	80	16	2	2	NUM
cana-6314	80	17	diabetes	diabetes	NOUN
cana-6314	80	18	mellitus	mellitus	NOUN
cana-6314	80	19	(	(	PUNCT
cana-6314	80	20	t2	t2	NOUN
cana-6314	80	21	dm	dm	PROPN
cana-6314	80	22	)	)	PUNCT
cana-6314	80	23	not	not	PART
cana-6314	80	24	specified	specify	VERB
cana-6314	80	25	performance	performance	NOUN
cana-6314	80	26	comparison	comparison	NOUN
cana-6314	80	27	across	across	ADP
cana-6314	80	28	svm	svm	PROPN
cana-6314	80	29	,	,	PUNCT
cana-6314	80	30	k	k	PROPN
cana-6314	80	31	-	-	PUNCT
cana-6314	80	32	nn	nn	PROPN
cana-6314	80	33	,	,	PUNCT
cana-6314	80	34	ann	ann	PROPN
cana-6314	80	35	,	,	PUNCT
cana-6314	80	36	lr	lr	PROPN
cana-6314	80	37	3	3	NUM
cana-6314	80	38	.	.	PUNCT
cana-6314	80	39	methodology	methodology	NOUN
cana-6314	80	40	machine	machine	NOUN
cana-6314	80	41	learning	learning	NOUN
cana-6314	80	42	(	(	PUNCT
cana-6314	80	43	ml	ml	NOUN
cana-6314	80	44	)	)	PUNCT
cana-6314	80	45	in	in	ADP
cana-6314	80	46	healthcare	healthcare	NOUN
cana-6314	80	47	analytics	analytic	NOUN
cana-6314	80	48	enables	enable	VERB
cana-6314	80	49	patient	patient	ADJ
cana-6314	80	50	outcome	outcome	NOUN
cana-6314	80	51	prediction	prediction	NOUN
cana-6314	80	52	,	,	PUNCT
cana-6314	80	53	tailored	tailor	VERB
cana-6314	80	54	treatment	treatment	NOUN
cana-6314	80	55	regimens	regimen	NOUN
cana-6314	80	56	,	,	PUNCT
cana-6314	80	57	and	and	CCONJ
cana-6314	80	58	early	early	ADJ
cana-6314	80	59	disease	disease	NOUN
cana-6314	80	60	identification	identification	NOUN
cana-6314	80	61	.	.	PUNCT
cana-6314	81	1	in	in	ADP
cana-6314	81	2	a	a	DET
cana-6314	81	3	similar	similar	ADJ
cana-6314	81	4	vein	vein	NOUN
cana-6314	81	5	,	,	PUNCT
cana-6314	81	6	it	it	PRON
cana-6314	81	7	facilitates	facilitate	VERB
cana-6314	81	8	fraud	fraud	NOUN
cana-6314	81	9	detection	detection	NOUN
cana-6314	81	10	,	,	PUNCT
cana-6314	81	11	sentiment	sentiment	NOUN
cana-6314	81	12	analysis	analysis	NOUN
cana-6314	81	13	,	,	PUNCT
cana-6314	81	14	and	and	CCONJ
cana-6314	81	15	decision	decision	NOUN
cana-6314	81	16	-	-	PUNCT
cana-6314	81	17	making	making	NOUN
cana-6314	81	18	in	in	ADP
cana-6314	81	19	social	social	ADJ
cana-6314	81	20	network	network	NOUN
cana-6314	81	21	and	and	CCONJ
cana-6314	81	22	business	business	NOUN
cana-6314	81	23	analytics	analytic	NOUN
cana-6314	81	24	.	.	PUNCT
cana-6314	82	1	the	the	DET
cana-6314	82	2	core	core	NOUN
cana-6314	82	3	concepts	concept	NOUN
cana-6314	82	4	and	and	CCONJ
cana-6314	82	5	principles	principle	NOUN
cana-6314	82	6	of	of	ADP
cana-6314	82	7	statistics	statistic	NOUN
cana-6314	82	8	techniques	technique	NOUN
cana-6314	82	9	,	,	PUNCT
cana-6314	82	10	which	which	PRON
cana-6314	82	11	are	be	AUX
cana-6314	82	12	being	be	AUX
cana-6314	82	13	used	use	VERB
cana-6314	82	14	to	to	ADP
cana-6314	82	15	data	datum	NOUN
cana-6314	82	16	puzzles	puzzle	NOUN
cana-6314	82	17	.	.	PUNCT
cana-6314	83	1	ml	ml	X
cana-6314	83	2	algorithms	algorithms	PROPN
cana-6314	83	3	function	function	VERB
cana-6314	83	4	as	as	ADP
cana-6314	83	5	optimization	optimization	NOUN
cana-6314	83	6	problems	problem	NOUN
cana-6314	83	7	that	that	PRON
cana-6314	83	8	aim	aim	VERB
cana-6314	83	9	to	to	PART
cana-6314	83	10	maximize	maximize	VERB
cana-6314	83	11	accuracy	accuracy	NOUN
cana-6314	83	12	and	and	CCONJ
cana-6314	83	13	minimize	minimize	VERB
cana-6314	83	14	errors	error	NOUN
cana-6314	83	15	in	in	ADP
cana-6314	83	16	order	order	NOUN
cana-6314	83	17	to	to	PART
cana-6314	83	18	find	find	VERB
cana-6314	83	19	the	the	DET
cana-6314	83	20	best	good	ADJ
cana-6314	83	21	solutions	solution	NOUN
cana-6314	83	22	.	.	PUNCT
cana-6314	84	1	pre	pre	VERB
cana-6314	84	2	-	-	ADJ
cana-6314	84	3	processed	process	VERB
cana-6314	84	4	historical	historical	ADJ
cana-6314	84	5	and	and	CCONJ
cana-6314	84	6	real	real	ADJ
cana-6314	84	7	-	-	PUNCT
cana-6314	84	8	time	time	NOUN
cana-6314	84	9	data	datum	NOUN
cana-6314	84	10	with	with	ADP
cana-6314	84	11	a	a	DET
cana-6314	84	12	variety	variety	NOUN
cana-6314	84	13	of	of	ADP
cana-6314	84	14	traits	trait	NOUN
cana-6314	84	15	and	and	CCONJ
cana-6314	84	16	properties	property	NOUN
cana-6314	84	17	is	be	AUX
cana-6314	84	18	supplied	supply	VERB
cana-6314	84	19	into	into	ADP
cana-6314	84	20	these	these	DET
cana-6314	84	21	algorithms	algorithm	NOUN
cana-6314	84	22	.	.	PUNCT
cana-6314	85	1	the	the	DET
cana-6314	85	2	data	datum	NOUN
cana-6314	85	3	is	be	AUX
cana-6314	85	4	made	make	VERB
cana-6314	85	5	appropriate	appropriate	ADJ
cana-6314	85	6	for	for	ADP
cana-6314	85	7	predictive	predictive	ADJ
cana-6314	85	8	model	model	NOUN
cana-6314	85	9	training	training	NOUN
cana-6314	85	10	by	by	ADP
cana-6314	85	11	feature	feature	NOUN
cana-6314	85	12	engineering	engineering	NOUN
cana-6314	85	13	and	and	CCONJ
cana-6314	85	14	transformations	transformation	NOUN
cana-6314	85	15	[	[	X
cana-6314	85	16	181–183	181–183	NUM
cana-6314	85	17	]	]	PUNCT
cana-6314	85	18	.	.	PUNCT
cana-6314	86	1	machine	machine	NOUN
cana-6314	86	2	learning	learning	NOUN
cana-6314	86	3	is	be	AUX
cana-6314	86	4	essential	essential	ADJ
cana-6314	86	5	for	for	ADP
cana-6314	86	6	producing	produce	VERB
cana-6314	86	7	precise	precise	ADJ
cana-6314	86	8	predictions	prediction	NOUN
cana-6314	86	9	regarding	regard	VERB
cana-6314	86	10	a	a	DET
cana-6314	86	11	range	range	NOUN
cana-6314	86	12	of	of	ADP
cana-6314	86	13	diseases	disease	NOUN
cana-6314	86	14	by	by	ADP
cana-6314	86	15	pre	pre	ADJ
cana-6314	86	16	-	-	ADJ
cana-6314	86	17	processing	processing	ADJ
cana-6314	86	18	,	,	PUNCT
cana-6314	86	19	converting	converting	NOUN
cana-6314	86	20	,	,	PUNCT
cana-6314	86	21	and	and	CCONJ
cana-6314	86	22	feeding	feed	VERB
cana-6314	86	23	historical	historical	ADJ
cana-6314	86	24	and	and	CCONJ
cana-6314	86	25	real	real	ADJ
cana-6314	86	26	-	-	PUNCT
cana-6314	86	27	time	time	NOUN
cana-6314	86	28	data	datum	NOUN
cana-6314	86	29	that	that	PRON
cana-6314	86	30	contains	contain	VERB
cana-6314	86	31	a	a	DET
cana-6314	86	32	variety	variety	NOUN
cana-6314	86	33	of	of	ADP
cana-6314	86	34	examples	example	NOUN
cana-6314	86	35	and	and	CCONJ
cana-6314	86	36	attributes	attribute	NOUN
cana-6314	86	37	into	into	ADP
cana-6314	86	38	different	different	ADJ
cana-6314	86	39	algorithms	algorithm	NOUN
cana-6314	86	40	.	.	PUNCT
cana-6314	87	1	3.1	3.1	NUM
cana-6314	87	2	.	.	PUNCT
cana-6314	87	3	naive	naive	ADJ
cana-6314	87	4	bayes	baye	NOUN
cana-6314	88	1	[	[	X
cana-6314	88	2	1	1	X
cana-6314	88	3	]	]	PUNCT
cana-6314	88	4	in	in	ADP
cana-6314	88	5	other	other	ADJ
cana-6314	88	6	words	word	NOUN
cana-6314	88	7	,	,	PUNCT
cana-6314	88	8	a	a	DET
cana-6314	88	9	naive	naive	ADJ
cana-6314	88	10	bayes	bayes	NOUN
cana-6314	88	11	model	model	NOUN
cana-6314	88	12	implies	imply	VERB
cana-6314	88	13	that	that	SCONJ
cana-6314	88	14	there	there	PRON
cana-6314	88	15	is	be	VERB
cana-6314	88	16	no	no	DET
cana-6314	88	17	information	information	NOUN
cana-6314	88	18	shared	share	VERB
cana-6314	88	19	among	among	ADP
cana-6314	88	20	the	the	DET
cana-6314	88	21	predictors	predictor	NOUN
cana-6314	88	22	and	and	CCONJ
cana-6314	88	23	that	that	SCONJ
cana-6314	88	24	the	the	DET
cana-6314	88	25	class	class	NOUN
cana-6314	88	26	information	information	NOUN
cana-6314	88	27	provided	provide	VERB
cana-6314	88	28	by	by	ADP
cana-6314	88	29	one	one	NUM
cana-6314	88	30	variable	variable	NOUN
cana-6314	88	31	is	be	AUX
cana-6314	88	32	independent	independent	ADJ
cana-6314	88	33	to	to	ADP
cana-6314	88	34	the	the	DET
cana-6314	88	35	information	information	NOUN
cana-6314	88	36	from	from	ADP
cana-6314	88	37	the	the	DET
cana-6314	88	38	others	other	NOUN
cana-6314	88	39	.	.	PUNCT
cana-6314	89	1	the	the	DET
cana-6314	89	2	classifier	classifier	NOUN
cana-6314	89	3	's	's	PART
cana-6314	89	4	name	name	NOUN
cana-6314	89	5	comes	come	VERB
cana-6314	89	6	from	from	ADP
cana-6314	89	7	the	the	DET
cana-6314	89	8	naive	naive	ADJ
cana-6314	89	9	independence	independence	NOUN
cana-6314	89	10	assumption	assumption	NOUN
cana-6314	89	11	,	,	PUNCT
cana-6314	89	12	which	which	PRON
cana-6314	89	13	is	be	AUX
cana-6314	89	14	a	a	DET
cana-6314	89	15	very	very	ADV
cana-6314	89	16	implausible	implausible	ADJ
cana-6314	89	17	assumption	assumption	NOUN
cana-6314	89	18	.	.	PUNCT
cana-6314	90	1	these	these	DET
cana-6314	90	2	classifiers	classifier	NOUN
cana-6314	90	3	are	be	AUX
cana-6314	90	4	among	among	ADP
cana-6314	90	5	the	the	DET
cana-6314	90	6	most	most	ADV
cana-6314	90	7	basic	basic	ADJ
cana-6314	90	8	versions	version	NOUN
cana-6314	90	9	of	of	ADP
cana-6314	90	10	bayesian	bayesian	NOUN
cana-6314	90	11	networks	network	NOUN
cana-6314	90	12	.	.	PUNCT
cana-6314	91	1	[	[	X
cana-6314	91	2	2	2	X
cana-6314	91	3	]	]	PUNCT
cana-6314	91	4	in	in	ADP
cana-6314	91	5	general	general	ADJ
cana-6314	91	6	,	,	PUNCT
cana-6314	91	7	naive	naive	ADJ
cana-6314	91	8	bayes	bayes	NOUN
cana-6314	91	9	classifiers	classifier	NOUN
cana-6314	91	10	perform	perform	VERB
cana-6314	91	11	worse	bad	ADJ
cana-6314	91	12	than	than	ADP
cana-6314	91	13	more	more	ADV
cana-6314	91	14	sophisticated	sophisticated	ADJ
cana-6314	91	15	models	model	NOUN
cana-6314	91	16	,	,	PUNCT
cana-6314	91	17	such	such	ADJ
cana-6314	91	18	as	as	ADP
cana-6314	91	19	logistic	logistic	ADJ
cana-6314	91	20	regressions	regression	NOUN
cana-6314	91	21	,	,	PUNCT
cana-6314	91	22	particularly	particularly	ADV
cana-6314	91	23	when	when	SCONJ
cana-6314	91	24	it	it	PRON
cana-6314	91	25	comes	come	VERB
cana-6314	91	26	to	to	ADP
cana-6314	91	27	measuring	measure	VERB
cana-6314	91	28	uncertainty	uncertainty	NOUN
cana-6314	91	29	(	(	PUNCT
cana-6314	91	30	naive	naive	ADJ
cana-6314	91	31	bayes	bayes	NOUN
cana-6314	91	32	models	model	NOUN
cana-6314	91	33	frequently	frequently	ADV
cana-6314	91	34	generate	generate	VERB
cana-6314	91	35	outrageously	outrageously	ADV
cana-6314	91	36	overconfident	overconfident	ADJ
cana-6314	91	37	probabilities	probability	NOUN
cana-6314	91	38	)	)	PUNCT
cana-6314	91	39	.	.	PUNCT
cana-6314	92	1	they	they	PRON
cana-6314	92	2	only	only	ADV
cana-6314	92	3	need	need	VERB
cana-6314	92	4	one	one	NUM
cana-6314	92	5	communications	communication	NOUN
cana-6314	92	6	on	on	ADP
cana-6314	92	7	applied	apply	VERB
cana-6314	92	8	nonlinear	nonlinear	ADJ
cana-6314	92	9	analysis	analysis	NOUN
cana-6314	92	10	issn	issn	NOUN
cana-6314	92	11	:	:	PUNCT
cana-6314	92	12	1074	1074	NUM
cana-6314	92	13	-	-	PUNCT
cana-6314	92	14	133x	133x	NUM
cana-6314	92	15	vol	vol	NOUN
cana-6314	92	16	32	32	NUM
cana-6314	92	17	no	no	NOUN
cana-6314	92	18	.	.	PUNCT
cana-6314	93	1	1s	1s	NUM
cana-6314	93	2	(	(	PUNCT
cana-6314	93	3	2025	2025	NUM
cana-6314	93	4	)	)	PUNCT
cana-6314	93	5	761	761	NUM
cana-6314	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	93	7	parameter	parameter	NOUN
cana-6314	93	8	for	for	ADP
cana-6314	93	9	every	every	DET
cana-6314	93	10	feature	feature	NOUN
cana-6314	93	11	.	.	PUNCT
cana-6314	94	1	a	a	DET
cana-6314	94	2	closed	close	VERB
cana-6314	94	3	-	-	PUNCT
cana-6314	94	4	form	form	NOUN
cana-6314	94	5	expression	expression	NOUN
cana-6314	94	6	can	can	AUX
cana-6314	94	7	be	be	AUX
cana-6314	94	8	evaluated	evaluate	VERB
cana-6314	94	9	for	for	ADP
cana-6314	94	10	maximum	maximum	ADJ
cana-6314	94	11	-	-	PUNCT
cana-6314	94	12	likelihood	likelihood	NOUN
cana-6314	94	13	training	training	NOUN
cana-6314	94	14	(	(	PUNCT
cana-6314	94	15	only	only	ADV
cana-6314	94	16	by	by	ADP
cana-6314	94	17	counting	count	VERB
cana-6314	94	18	observations	observation	NOUN
cana-6314	94	19	in	in	ADP
cana-6314	94	20	each	each	PRON
cana-6314	94	21	group),[3	group),[3	NOUN
cana-6314	94	22	]	]	X
cana-6314	94	23	:	:	PUNCT
cana-6314	94	24	718	718	NUM
cana-6314	94	25	,	,	PUNCT
cana-6314	94	26	as	as	SCONJ
cana-6314	94	27	opposed	oppose	VERB
cana-6314	94	28	to	to	ADP
cana-6314	94	29	the	the	DET
cana-6314	94	30	costly	costly	ADJ
cana-6314	94	31	iterative	iterative	NOUN
cana-6314	94	32	approximation	approximation	NOUN
cana-6314	94	33	techniques	technique	NOUN
cana-6314	94	34	needed	need	VERB
cana-6314	94	35	for	for	ADP
cana-6314	94	36	the	the	DET
cana-6314	94	37	majority	majority	NOUN
cana-6314	94	38	of	of	ADP
cana-6314	94	39	other	other	ADJ
cana-6314	94	40	models	model	NOUN
cana-6314	94	41	.	.	PUNCT
cana-6314	95	1	3.2	3.2	NUM
cana-6314	95	2	decision	decision	NOUN
cana-6314	95	3	tree	tree	NOUN
cana-6314	95	4	a	a	DET
cana-6314	95	5	decision	decision	NOUN
cana-6314	95	6	tree	tree	NOUN
cana-6314	95	7	is	be	AUX
cana-6314	95	8	a	a	DET
cana-6314	95	9	flowchart	flowchart	NOUN
cana-6314	95	10	-	-	PUNCT
cana-6314	95	11	like	like	ADJ
cana-6314	95	12	supervised	supervised	ADJ
cana-6314	95	13	machine	machine	NOUN
cana-6314	95	14	learning	learning	NOUN
cana-6314	95	15	technique	technique	NOUN
cana-6314	95	16	that	that	PRON
cana-6314	95	17	may	may	AUX
cana-6314	95	18	be	be	AUX
cana-6314	95	19	applied	apply	VERB
cana-6314	95	20	to	to	ADP
cana-6314	95	21	both	both	PRON
cana-6314	95	22	regression	regression	NOUN
cana-6314	95	23	and	and	CCONJ
cana-6314	95	24	classification	classification	NOUN
cana-6314	95	25	problems	problem	NOUN
cana-6314	95	26	.	.	PUNCT
cana-6314	96	1	it	it	PRON
cana-6314	96	2	creates	create	VERB
cana-6314	96	3	a	a	DET
cana-6314	96	4	tree	tree	NOUN
cana-6314	96	5	-	-	PUNCT
cana-6314	96	6	like	like	ADJ
cana-6314	96	7	structure	structure	NOUN
cana-6314	96	8	with	with	ADP
cana-6314	96	9	decision	decision	NOUN
cana-6314	96	10	nodes	node	NOUN
cana-6314	96	11	,	,	PUNCT
cana-6314	96	12	branches	branch	NOUN
cana-6314	96	13	,	,	PUNCT
cana-6314	96	14	and	and	CCONJ
cana-6314	96	15	leaf	leaf	NOUN
cana-6314	96	16	nodes	node	NOUN
cana-6314	96	17	by	by	ADP
cana-6314	96	18	recursively	recursively	ADV
cana-6314	96	19	splitting	splitting	NOUN
cana-6314	96	20	data	datum	NOUN
cana-6314	96	21	according	accord	VERB
cana-6314	96	22	to	to	ADP
cana-6314	96	23	feature	feature	NOUN
cana-6314	96	24	values	value	NOUN
cana-6314	96	25	.	.	PUNCT
cana-6314	97	1	that	that	PRON
cana-6314	97	2	represent	represent	VERB
cana-6314	97	3	predictions	prediction	NOUN
cana-6314	97	4	.	.	PUNCT
cana-6314	98	1	3.3	3.3	NUM
cana-6314	98	2	random	random	ADJ
cana-6314	98	3	forest	forest	NOUN
cana-6314	98	4	classifier	classifier	NOUN
cana-6314	98	5	for	for	ADP
cana-6314	98	6	classification	classification	NOUN
cana-6314	98	7	and	and	CCONJ
cana-6314	98	8	regression	regression	NOUN
cana-6314	98	9	applications	application	NOUN
cana-6314	98	10	,	,	PUNCT
cana-6314	98	11	random	random	ADJ
cana-6314	98	12	forest	forest	NOUN
cana-6314	98	13	is	be	AUX
cana-6314	98	14	an	an	DET
cana-6314	98	15	ensemble	ensemble	ADJ
cana-6314	98	16	learning	learning	NOUN
cana-6314	98	17	technique	technique	NOUN
cana-6314	98	18	(	(	PUNCT
cana-6314	98	19	yiu	yiu	NOUN
cana-6314	98	20	,	,	PUNCT
cana-6314	98	21	2019	2019	NUM
cana-6314	98	22	)	)	PUNCT
cana-6314	98	23	.	.	PUNCT
cana-6314	99	1	it	it	PRON
cana-6314	99	2	is	be	AUX
cana-6314	99	3	made	make	VERB
cana-6314	99	4	up	up	ADP
cana-6314	99	5	of	of	ADP
cana-6314	99	6	several	several	ADJ
cana-6314	99	7	decision	decision	NOUN
cana-6314	99	8	trees	tree	NOUN
cana-6314	99	9	.	.	PUNCT
cana-6314	100	1	a	a	DET
cana-6314	100	2	distinct	distinct	ADJ
cana-6314	100	3	subset	subset	NOUN
cana-6314	100	4	by	by	ADP
cana-6314	100	5	all	all	DET
cana-6314	100	6	the	the	DET
cana-6314	100	7	trees	tree	NOUN
cana-6314	100	8	determines	determine	VERB
cana-6314	100	9	the	the	DET
cana-6314	100	10	final	final	ADJ
cana-6314	100	11	forecast	forecast	NOUN
cana-6314	100	12	.	.	PUNCT
cana-6314	101	1	the	the	DET
cana-6314	101	2	random	random	ADJ
cana-6314	101	3	forest	forest	NOUN
cana-6314	101	4	method	method	NOUN
cana-6314	101	5	delivers	deliver	VERB
cana-6314	101	6	the	the	DET
cana-6314	101	7	most	most	ADV
cana-6314	101	8	common	common	ADJ
cana-6314	101	9	class	class	NOUN
cana-6314	101	10	prediction	prediction	NOUN
cana-6314	101	11	after	after	ADP
cana-6314	101	12	evaluating	evaluate	VERB
cana-6314	101	13	each	each	DET
cana-6314	101	14	instance	instance	NOUN
cana-6314	101	15	separately	separately	ADV
cana-6314	101	16	.	.	PUNCT
cana-6314	102	1	3.4	3.4	NUM
cana-6314	102	2	support	support	NOUN
cana-6314	102	3	vector	vector	NOUN
cana-6314	102	4	machine	machine	NOUN
cana-6314	102	5	(	(	PUNCT
cana-6314	102	6	svm	svm	ADJ
cana-6314	102	7	)	)	PUNCT
cana-6314	102	8	encouragement	encouragement	NOUN
cana-6314	102	9	regression	regression	NOUN
cana-6314	102	10	and	and	CCONJ
cana-6314	102	11	classification	classification	NOUN
cana-6314	102	12	issues	issue	NOUN
cana-6314	102	13	are	be	AUX
cana-6314	102	14	handled	handle	VERB
cana-6314	102	15	by	by	ADP
cana-6314	102	16	vector	vector	NOUN
cana-6314	102	17	machines	machine	NOUN
cana-6314	102	18	(	(	PUNCT
cana-6314	102	19	ray	ray	NOUN
cana-6314	102	20	,	,	PUNCT
cana-6314	102	21	2017	2017	NUM
cana-6314	102	22	)	)	PUNCT
cana-6314	102	23	.	.	PUNCT
cana-6314	103	1	the	the	DET
cana-6314	103	2	following	follow	VERB
cana-6314	103	3	equation	equation	NOUN
cana-6314	103	4	represents	represent	VERB
cana-6314	103	5	the	the	DET
cana-6314	103	6	decision	decision	NOUN
cana-6314	103	7	boundary	boundary	ADJ
cana-6314	103	8	that	that	SCONJ
cana-6314	103	9	svm	svm	NOUN
cana-6314	103	10	produces	produce	VERB
cana-6314	103	11	:	:	PUNCT
cana-6314	103	12	communications	communication	NOUN
cana-6314	103	13	on	on	ADP
cana-6314	103	14	applied	apply	VERB
cana-6314	103	15	nonlinear	nonlinear	ADJ
cana-6314	103	16	analysis	analysis	NOUN
cana-6314	103	17	issn	issn	NOUN
cana-6314	103	18	:	:	PUNCT
cana-6314	103	19	1074	1074	NUM
cana-6314	103	20	-	-	PUNCT
cana-6314	103	21	133x	133x	NUM
cana-6314	103	22	vol	vol	NOUN
cana-6314	103	23	32	32	NUM
cana-6314	103	24	no	no	NOUN
cana-6314	103	25	.	.	PUNCT
cana-6314	104	1	1s	1s	NUM
cana-6314	104	2	(	(	PUNCT
cana-6314	104	3	2025	2025	NUM
cana-6314	104	4	)	)	PUNCT
cana-6314	104	5	762	762	NUM
cana-6314	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	104	7	f(x	f(x	PROPN
cana-6314	104	8	)	)	PUNCT
cana-6314	104	9	=	=	PUNCT
cana-6314	105	1	w^t	w^t	VERB
cana-6314	105	2	x	x	PUNCT
cana-6314	106	1	+	+	NUM
cana-6314	106	2	b	b	NOUN
cana-6314	106	3	if	if	SCONJ
cana-6314	106	4	x	x	PRON
cana-6314	106	5	is	be	AUX
cana-6314	106	6	the	the	DET
cana-6314	106	7	data	datum	NOUN
cana-6314	106	8	that	that	PRON
cana-6314	106	9	needs	need	VERB
cana-6314	106	10	to	to	PART
cana-6314	106	11	be	be	AUX
cana-6314	106	12	categorised	categorise	VERB
cana-6314	106	13	,	,	PUNCT
cana-6314	106	14	w	w	NOUN
cana-6314	106	15	is	be	AUX
cana-6314	106	16	the	the	DET
cana-6314	106	17	weight	weight	NOUN
cana-6314	106	18	vector	vector	NOUN
cana-6314	106	19	,	,	PUNCT
cana-6314	106	20	and	and	CCONJ
cana-6314	106	21	b	b	NOUN
cana-6314	106	22	is	be	AUX
cana-6314	106	23	the	the	DET
cana-6314	106	24	linear	linear	ADJ
cana-6314	106	25	coefficient	coefficient	NOUN
cana-6314	106	26	.	.	PUNCT
cana-6314	107	1	to	to	PART
cana-6314	107	2	ensure	ensure	VERB
cana-6314	107	3	the	the	DET
cana-6314	107	4	optimal	optimal	ADJ
cana-6314	107	5	separation	separation	NOUN
cana-6314	107	6	,	,	PUNCT
cana-6314	107	7	the	the	DET
cana-6314	107	8	svm	svm	PROPN
cana-6314	107	9	model	model	NOUN
cana-6314	107	10	aims	aim	VERB
cana-6314	107	11	to	to	PART
cana-6314	107	12	maximise	maximise	VERB
cana-6314	107	13	the	the	DET
cana-6314	107	14	margin	margin	NOUN
cana-6314	107	15	between	between	ADP
cana-6314	107	16	the	the	DET
cana-6314	107	17	classes	class	NOUN
cana-6314	107	18	.	.	PUNCT
cana-6314	108	1	3.5	3.5	NUM
cana-6314	108	2	logistic	logistic	ADJ
cana-6314	108	3	regression	regression	NOUN
cana-6314	108	4	it	it	PRON
cana-6314	108	5	is	be	AUX
cana-6314	108	6	used	use	VERB
cana-6314	108	7	to	to	PART
cana-6314	108	8	obtain	obtain	VERB
cana-6314	108	9	odd	odd	ADJ
cana-6314	108	10	ratio	ratio	NOUN
cana-6314	108	11	in	in	ADP
cana-6314	108	12	the	the	DET
cana-6314	108	13	presence	presence	NOUN
cana-6314	108	14	of	of	ADP
cana-6314	108	15	more	more	ADJ
cana-6314	108	16	than	than	ADP
cana-6314	108	17	one	one	NUM
cana-6314	108	18	explanatory	explanatory	ADJ
cana-6314	108	19	variable	variable	NOUN
cana-6314	108	20	.	.	PUNCT
cana-6314	109	1	a	a	DET
cana-6314	109	2	common	common	ADJ
cana-6314	109	3	symbol	symbol	NOUN
cana-6314	109	4	for	for	ADP
cana-6314	109	5	the	the	DET
cana-6314	109	6	chance	chance	NOUN
cana-6314	109	7	is	be	AUX
cana-6314	109	8	'	'	PUNCT
cana-6314	109	9	1	1	NUM
cana-6314	109	10	'	'	NUM
cana-6314	109	11	,	,	PUNCT
cana-6314	109	12	which	which	PRON
cana-6314	109	13	is	be	AUX
cana-6314	109	14	predicted	predict	VERB
cana-6314	109	15	using	use	VERB
cana-6314	109	16	logistic	logistic	ADJ
cana-6314	109	17	regression	regression	NOUN
cana-6314	109	18	.	.	PUNCT
cana-6314	110	1	according	accord	VERB
cana-6314	110	2	to	to	ADP
cana-6314	110	3	brownlee	brownlee	PROPN
cana-6314	110	4	(	(	PUNCT
cana-6314	110	5	2016c	2016c	NUM
cana-6314	110	6	)	)	PUNCT
cana-6314	110	7	,	,	PUNCT
cana-6314	110	8	the	the	DET
cana-6314	110	9	logistic	logistic	ADJ
cana-6314	110	10	function	function	NOUN
cana-6314	110	11	(	(	PUNCT
cana-6314	110	12	sigmoid	sigmoid	NOUN
cana-6314	110	13	function	function	NOUN
cana-6314	110	14	)	)	PUNCT
cana-6314	110	15	predicts	predict	VERB
cana-6314	110	16	the	the	DET
cana-6314	110	17	data	datum	NOUN
cana-6314	110	18	as	as	SCONJ
cana-6314	110	19	follows	follow	VERB
cana-6314	110	20	:	:	PUNCT
cana-6314	110	21	p(y=1|x	p(y=1|x	X
cana-6314	110	22	)	)	PUNCT
cana-6314	111	1	=	=	SYM
cana-6314	111	2	1	1	NUM
cana-6314	111	3	/	/	SYM
cana-6314	111	4	(	(	PUNCT
cana-6314	111	5	1	1	NUM
cana-6314	111	6	+	+	CCONJ
cana-6314	111	7	exp(-(w^t	exp(-(w^t	NOUN
cana-6314	111	8	x	x	SYM
cana-6314	111	9	+	+	NUM
cana-6314	111	10	b	b	NOUN
cana-6314	111	11	)	)	PUNCT
cana-6314	111	12	)	)	PUNCT
cana-6314	111	13	)	)	PUNCT
cana-6314	112	1	3.6	3.6	NUM
cana-6314	112	2	k	k	NOUN
cana-6314	112	3	-	-	PUNCT
cana-6314	112	4	means	mean	VERB
cana-6314	112	5	algorithm	algorithm	NOUN
cana-6314	112	6	for	for	ADP
cana-6314	112	7	visualization	visualization	NOUN
cana-6314	112	8	and	and	CCONJ
cana-6314	112	9	patient	patient	ADJ
cana-6314	112	10	stratification	stratification	NOUN
cana-6314	112	11	k	k	PROPN
cana-6314	112	12	-	-	PUNCT
cana-6314	112	13	means	mean	VERB
cana-6314	112	14	clustering	clustering	NOUN
cana-6314	112	15	is	be	AUX
cana-6314	112	16	a	a	DET
cana-6314	112	17	well	well	ADV
cana-6314	112	18	-	-	PUNCT
cana-6314	112	19	liked	like	VERB
cana-6314	112	20	unsupervised	unsupervised	ADJ
cana-6314	112	21	machine	machine	NOUN
cana-6314	112	22	learning	learning	NOUN
cana-6314	112	23	method	method	NOUN
cana-6314	112	24	that	that	PRON
cana-6314	112	25	finds	find	VERB
cana-6314	112	26	application	application	NOUN
cana-6314	112	27	in	in	ADP
cana-6314	112	28	a	a	DET
cana-6314	112	29	variety	variety	NOUN
cana-6314	112	30	of	of	ADP
cana-6314	112	31	fields	field	NOUN
cana-6314	112	32	,	,	PUNCT
cana-6314	112	33	including	include	VERB
cana-6314	112	34	healthcare	healthcare	NOUN
cana-6314	112	35	.	.	PUNCT
cana-6314	113	1	k	k	X
cana-6314	113	2	-	-	PUNCT
cana-6314	113	3	means	mean	VERB
cana-6314	113	4	searches	search	NOUN
cana-6314	113	5	for	for	ADP
cana-6314	113	6	inherent	inherent	ADJ
cana-6314	113	7	patterns	pattern	NOUN
cana-6314	113	8	in	in	ADP
cana-6314	113	9	datasets	dataset	NOUN
cana-6314	113	10	without	without	ADP
cana-6314	113	11	the	the	DET
cana-6314	113	12	use	use	NOUN
cana-6314	113	13	of	of	ADP
cana-6314	113	14	labelled	label	VERB
cana-6314	113	15	samples	sample	NOUN
cana-6314	113	16	,	,	PUNCT
cana-6314	113	17	based	base	VERB
cana-6314	113	18	on	on	ADP
cana-6314	113	19	the	the	DET
cana-6314	113	20	notion	notion	NOUN
cana-6314	113	21	that	that	SCONJ
cana-6314	113	22	data	datum	NOUN
cana-6314	113	23	should	should	AUX
cana-6314	113	24	be	be	AUX
cana-6314	113	25	separated	separate	VERB
cana-6314	113	26	into	into	ADP
cana-6314	113	27	discrete	discrete	ADJ
cana-6314	113	28	groups	group	NOUN
cana-6314	113	29	or	or	CCONJ
cana-6314	113	30	clusters	cluster	NOUN
cana-6314	113	31	.	.	PUNCT
cana-6314	114	1	the	the	DET
cana-6314	114	2	procedure	procedure	NOUN
cana-6314	114	3	's	's	PART
cana-6314	114	4	primary	primary	ADJ
cana-6314	114	5	goal	goal	NOUN
cana-6314	114	6	is	be	AUX
cana-6314	114	7	to	to	PART
cana-6314	114	8	minimize	minimize	VERB
cana-6314	114	9	the	the	DET
cana-6314	114	10	sum	sum	NOUN
cana-6314	114	11	of	of	ADP
cana-6314	114	12	squared	squared	ADJ
cana-6314	114	13	distances	distance	NOUN
cana-6314	114	14	between	between	ADP
cana-6314	114	15	data	datum	NOUN
cana-6314	114	16	points	point	NOUN
cana-6314	114	17	and	and	CCONJ
cana-6314	114	18	their	their	PRON
cana-6314	114	19	cluster	cluster	NOUN
cana-6314	114	20	centroids	centroid	NOUN
cana-6314	114	21	.	.	PUNCT
cana-6314	115	1	at	at	ADP
cana-6314	115	2	the	the	DET
cana-6314	115	3	beginning	beginning	NOUN
cana-6314	115	4	of	of	ADP
cana-6314	115	5	the	the	DET
cana-6314	115	6	iterative	iterative	NOUN
cana-6314	115	7	procedure	procedure	NOUN
cana-6314	115	8	,	,	PUNCT
cana-6314	115	9	k	k	PROPN
cana-6314	115	10	initial	initial	ADJ
cana-6314	115	11	centroids	centroid	NOUN
cana-6314	115	12	—	—	PUNCT
cana-6314	115	13	which	which	PRON
cana-6314	115	14	represent	represent	VERB
cana-6314	115	15	the	the	DET
cana-6314	115	16	cluster	cluster	NOUN
cana-6314	115	17	centres	centre	NOUN
cana-6314	115	18	—	—	PUNCT
cana-6314	115	19	are	be	AUX
cana-6314	115	20	selected	select	VERB
cana-6314	115	21	at	at	ADP
cana-6314	115	22	random	random	ADJ
cana-6314	115	23	.	.	PUNCT
cana-6314	116	1	each	each	DET
cana-6314	116	2	data	datum	NOUN
cana-6314	116	3	point	point	NOUN
cana-6314	116	4	is	be	AUX
cana-6314	116	5	then	then	ADV
cana-6314	116	6	allocated	allocate	VERB
cana-6314	116	7	to	to	ADP
cana-6314	116	8	the	the	DET
cana-6314	116	9	cluster	cluster	NOUN
cana-6314	116	10	with	with	ADP
cana-6314	116	11	the	the	DET
cana-6314	116	12	closest	close	ADJ
cana-6314	116	13	centroid	centroid	NOUN
cana-6314	116	14	using	use	VERB
cana-6314	116	15	a	a	DET
cana-6314	116	16	distance	distance	NOUN
cana-6314	116	17	metric	metric	ADJ
cana-6314	116	18	,	,	PUNCT
cana-6314	116	19	most	most	ADV
cana-6314	116	20	commonly	commonly	ADV
cana-6314	116	21	the	the	DET
cana-6314	116	22	euclidean	euclidean	ADJ
cana-6314	116	23	distance	distance	NOUN
cana-6314	116	24	.	.	PUNCT
cana-6314	117	1	the	the	DET
cana-6314	117	2	software	software	NOUN
cana-6314	117	3	then	then	ADV
cana-6314	117	4	recalculates	recalculate	VERB
cana-6314	117	5	the	the	DET
cana-6314	117	6	centroids	centroid	NOUN
cana-6314	117	7	using	use	VERB
cana-6314	117	8	the	the	DET
cana-6314	117	9	mean	mean	NOUN
cana-6314	117	10	of	of	ADP
cana-6314	117	11	each	each	DET
cana-6314	117	12	point	point	NOUN
cana-6314	117	13	in	in	ADP
cana-6314	117	14	communications	communication	NOUN
cana-6314	117	15	on	on	ADP
cana-6314	117	16	applied	apply	VERB
cana-6314	117	17	nonlinear	nonlinear	ADJ
cana-6314	117	18	analysis	analysis	NOUN
cana-6314	117	19	issn	issn	NOUN
cana-6314	117	20	:	:	PUNCT
cana-6314	117	21	1074	1074	NUM
cana-6314	117	22	-	-	PUNCT
cana-6314	117	23	133x	133x	NUM
cana-6314	117	24	vol	vol	NOUN
cana-6314	117	25	32	32	NUM
cana-6314	117	26	no	no	NOUN
cana-6314	117	27	.	.	PUNCT
cana-6314	118	1	1s	1s	NUM
cana-6314	118	2	(	(	PUNCT
cana-6314	118	3	2025	2025	NUM
cana-6314	118	4	)	)	PUNCT
cana-6314	118	5	763	763	NUM
cana-6314	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	118	7	each	each	DET
cana-6314	118	8	cluster	cluster	NOUN
cana-6314	118	9	.	.	PUNCT
cana-6314	119	1	the	the	DET
cana-6314	119	2	cycles	cycle	NOUN
cana-6314	119	3	of	of	ADP
cana-6314	119	4	assignment	assignment	NOUN
cana-6314	119	5	and	and	CCONJ
cana-6314	119	6	centroid	centroid	NOUN
cana-6314	119	7	updating	updating	NOUN
cana-6314	119	8	continue	continue	VERB
cana-6314	119	9	until	until	ADP
cana-6314	119	10	convergence	convergence	NOUN
cana-6314	119	11	,	,	PUNCT
cana-6314	119	12	at	at	ADP
cana-6314	119	13	which	which	DET
cana-6314	119	14	point	point	NOUN
cana-6314	119	15	the	the	DET
cana-6314	119	16	assignments	assignment	NOUN
cana-6314	119	17	stabilize	stabilize	VERB
cana-6314	119	18	.	.	PUNCT
cana-6314	120	1	large	large	ADJ
cana-6314	120	2	datasets	dataset	NOUN
cana-6314	120	3	are	be	AUX
cana-6314	120	4	ideal	ideal	ADJ
cana-6314	120	5	for	for	ADP
cana-6314	120	6	k	k	NOUN
cana-6314	120	7	-	-	PUNCT
cana-6314	120	8	means	means	NOUN
cana-6314	120	9	because	because	SCONJ
cana-6314	120	10	of	of	ADP
cana-6314	120	11	its	its	PRON
cana-6314	120	12	well	well	ADV
cana-6314	120	13	-	-	PUNCT
cana-6314	120	14	known	know	VERB
cana-6314	120	15	ease	ease	NOUN
cana-6314	120	16	of	of	ADP
cana-6314	120	17	use	use	NOUN
cana-6314	120	18	,	,	PUNCT
cana-6314	120	19	effectiveness	effectiveness	NOUN
cana-6314	120	20	,	,	PUNCT
cana-6314	120	21	and	and	CCONJ
cana-6314	120	22	scalability	scalability	NOUN
cana-6314	120	23	.	.	PUNCT
cana-6314	121	1	however	however	ADV
cana-6314	121	2	,	,	PUNCT
cana-6314	121	3	the	the	DET
cana-6314	121	4	method	method	NOUN
cana-6314	121	5	's	's	PART
cana-6314	121	6	effectiveness	effectiveness	NOUN
cana-6314	121	7	is	be	AUX
cana-6314	121	8	impacted	impact	VERB
cana-6314	121	9	by	by	ADP
cana-6314	121	10	the	the	DET
cana-6314	121	11	initial	initial	ADJ
cana-6314	121	12	centroids	centroid	NOUN
cana-6314	121	13	chosen	choose	VERB
cana-6314	121	14	,	,	PUNCT
cana-6314	121	15	and	and	CCONJ
cana-6314	121	16	it	it	PRON
cana-6314	121	17	is	be	AUX
cana-6314	121	18	vulnerable	vulnerable	ADJ
cana-6314	121	19	to	to	ADP
cana-6314	121	20	outliers	outlier	NOUN
cana-6314	121	21	.	.	PUNCT
cana-6314	122	1	furthermore	furthermore	ADV
cana-6314	122	2	,	,	PUNCT
cana-6314	122	3	determining	determine	VERB
cana-6314	122	4	the	the	DET
cana-6314	122	5	ideal	ideal	ADJ
cana-6314	122	6	number	number	NOUN
cana-6314	122	7	of	of	ADP
cana-6314	122	8	clusters	cluster	NOUN
cana-6314	122	9	(	(	PUNCT
cana-6314	122	10	k	k	NOUN
cana-6314	122	11	)	)	PUNCT
cana-6314	122	12	is	be	AUX
cana-6314	122	13	a	a	DET
cana-6314	122	14	critical	critical	ADJ
cana-6314	122	15	problem	problem	NOUN
cana-6314	122	16	that	that	PRON
cana-6314	122	17	can	can	AUX
cana-6314	122	18	be	be	AUX
cana-6314	122	19	solved	solve	VERB
cana-6314	122	20	in	in	ADP
cana-6314	122	21	a	a	DET
cana-6314	122	22	variety	variety	NOUN
cana-6314	122	23	of	of	ADP
cana-6314	122	24	ways	way	NOUN
cana-6314	122	25	,	,	PUNCT
cana-6314	122	26	such	such	ADJ
cana-6314	122	27	as	as	ADP
cana-6314	122	28	silhouette	silhouette	NOUN
cana-6314	122	29	analysis	analysis	NOUN
cana-6314	122	30	and	and	CCONJ
cana-6314	122	31	the	the	DET
cana-6314	122	32	elbow	elbow	NOUN
cana-6314	122	33	methodology	methodology	NOUN
cana-6314	122	34	.	.	PUNCT
cana-6314	123	1	k	k	X
cana-6314	123	2	-	-	PUNCT
cana-6314	123	3	means	mean	VERB
cana-6314	123	4	clustering	clustering	NOUN
cana-6314	123	5	is	be	AUX
cana-6314	123	6	used	use	VERB
cana-6314	123	7	in	in	ADP
cana-6314	123	8	the	the	DET
cana-6314	123	9	healthcare	healthcare	NOUN
cana-6314	123	10	sector	sector	NOUN
cana-6314	123	11	for	for	ADP
cana-6314	123	12	patient	patient	ADJ
cana-6314	123	13	stratification	stratification	NOUN
cana-6314	123	14	,	,	PUNCT
cana-6314	123	15	which	which	PRON
cana-6314	123	16	groups	group	VERB
cana-6314	123	17	people	people	NOUN
cana-6314	123	18	with	with	ADP
cana-6314	123	19	similar	similar	ADJ
cana-6314	123	20	medical	medical	ADJ
cana-6314	123	21	characteristics	characteristic	NOUN
cana-6314	123	22	to	to	PART
cana-6314	123	23	aid	aid	VERB
cana-6314	123	24	in	in	ADP
cana-6314	123	25	resource	resource	NOUN
cana-6314	123	26	allocation	allocation	NOUN
cana-6314	123	27	and	and	CCONJ
cana-6314	123	28	individualized	individualized	ADJ
cana-6314	123	29	treatment	treatment	NOUN
cana-6314	123	30	programs	program	NOUN
cana-6314	123	31	.	.	PUNCT
cana-6314	124	1	it	it	PRON
cana-6314	124	2	is	be	AUX
cana-6314	124	3	also	also	ADV
cana-6314	124	4	used	use	VERB
cana-6314	124	5	to	to	PART
cana-6314	124	6	separate	separate	VERB
cana-6314	124	7	healthcare	healthcare	NOUN
cana-6314	124	8	data	datum	NOUN
cana-6314	124	9	,	,	PUNCT
cana-6314	124	10	including	include	VERB
cana-6314	124	11	genomic	genomic	ADJ
cana-6314	124	12	information	information	NOUN
cana-6314	124	13	or	or	CCONJ
cana-6314	124	14	clinical	clinical	ADJ
cana-6314	124	15	records	record	NOUN
cana-6314	124	16	,	,	PUNCT
cana-6314	124	17	and	and	CCONJ
cana-6314	124	18	find	find	VERB
cana-6314	124	19	distinct	distinct	ADJ
cana-6314	124	20	patterns	pattern	NOUN
cana-6314	124	21	and	and	CCONJ
cana-6314	124	22	relationships	relationship	NOUN
cana-6314	124	23	to	to	PART
cana-6314	124	24	enhance	enhance	VERB
cana-6314	124	25	medical	medical	ADJ
cana-6314	124	26	research	research	NOUN
cana-6314	124	27	and	and	CCONJ
cana-6314	124	28	decision	decision	NOUN
cana-6314	124	29	-	-	PUNCT
cana-6314	124	30	making	making	NOUN
cana-6314	124	31	.	.	PUNCT
cana-6314	125	1	k	k	X
cana-6314	125	2	-	-	PUNCT
cana-6314	125	3	means	means	PROPN
cana-6314	125	4	is	be	AUX
cana-6314	125	5	a	a	DET
cana-6314	125	6	useful	useful	ADJ
cana-6314	125	7	technique	technique	NOUN
cana-6314	125	8	for	for	ADP
cana-6314	125	9	identifying	identify	VERB
cana-6314	125	10	fundamental	fundamental	ADJ
cana-6314	125	11	trends	trend	NOUN
cana-6314	125	12	in	in	ADP
cana-6314	125	13	healthcare	healthcare	NOUN
cana-6314	125	14	datasets	dataset	NOUN
cana-6314	125	15	because	because	SCONJ
cana-6314	125	16	to	to	ADP
cana-6314	125	17	its	its	PRON
cana-6314	125	18	interpretability	interpretability	NOUN
cana-6314	125	19	and	and	CCONJ
cana-6314	125	20	adaptability	adaptability	NOUN
cana-6314	125	21	,	,	PUNCT
cana-6314	125	22	which	which	PRON
cana-6314	125	23	enhances	enhance	VERB
cana-6314	125	24	patient	patient	ADJ
cana-6314	125	25	care	care	NOUN
cana-6314	125	26	and	and	CCONJ
cana-6314	125	27	medical	medical	ADJ
cana-6314	125	28	knowledge	knowledge	NOUN
cana-6314	125	29	.	.	PUNCT
cana-6314	126	1	the	the	DET
cana-6314	126	2	k	k	NOUN
cana-6314	126	3	-	-	PUNCT
cana-6314	126	4	means	means	NOUN
cana-6314	126	5	algorithm	algorithm	NOUN
cana-6314	126	6	divides	divide	VERB
cana-6314	126	7	a	a	DET
cana-6314	126	8	dataset	dataset	NOUN
cana-6314	126	9	into	into	ADP
cana-6314	126	10	k	k	PROPN
cana-6314	126	11	clusters	cluster	NOUN
cana-6314	126	12	and	and	CCONJ
cana-6314	126	13	is	be	AUX
cana-6314	126	14	a	a	DET
cana-6314	126	15	widely	widely	ADV
cana-6314	126	16	used	use	VERB
cana-6314	126	17	clustering	clustering	NOUN
cana-6314	126	18	technique	technique	NOUN
cana-6314	126	19	in	in	ADP
cana-6314	126	20	data	datum	NOUN
cana-6314	126	21	mining	mining	NOUN
cana-6314	126	22	and	and	CCONJ
cana-6314	126	23	machine	machine	NOUN
cana-6314	126	24	learning	learning	NOUN
cana-6314	126	25	.	.	PUNCT
cana-6314	127	1	here	here	ADV
cana-6314	127	2	is	be	AUX
cana-6314	127	3	a	a	DET
cana-6314	127	4	high	high	ADJ
cana-6314	127	5	-	-	PUNCT
cana-6314	127	6	level	level	NOUN
cana-6314	127	7	overview	overview	NOUN
cana-6314	127	8	of	of	ADP
cana-6314	127	9	the	the	DET
cana-6314	127	10	k	k	NOUN
cana-6314	127	11	-	-	PUNCT
cana-6314	127	12	means	means	NOUN
cana-6314	127	13	algorithm	algorithm	NOUN
cana-6314	127	14	.	.	PUNCT
cana-6314	128	1	3.7	3.7	NUM
cana-6314	128	2	visual	visual	ADJ
cana-6314	128	3	transformers	transformer	NOUN
cana-6314	128	4	algorithm	algorithm	VERB
cana-6314	128	5	a	a	DET
cana-6314	128	6	recent	recent	ADJ
cana-6314	128	7	development	development	NOUN
cana-6314	128	8	in	in	ADP
cana-6314	128	9	computer	computer	NOUN
cana-6314	128	10	vision	vision	NOUN
cana-6314	128	11	called	call	VERB
cana-6314	128	12	vision	vision	PROPN
cana-6314	128	13	transformer	transformer	NOUN
cana-6314	128	14	(	(	PUNCT
cana-6314	128	15	vit	vit	NOUN
cana-6314	128	16	)	)	PUNCT
cana-6314	128	17	has	have	AUX
cana-6314	128	18	shown	show	VERB
cana-6314	128	19	noteworthy	noteworthy	ADJ
cana-6314	128	20	results	result	NOUN
cana-6314	128	21	in	in	ADP
cana-6314	128	22	the	the	DET
cana-6314	128	23	field	field	NOUN
cana-6314	128	24	of	of	ADP
cana-6314	128	25	picture	picture	NOUN
cana-6314	128	26	classification	classification	NOUN
cana-6314	128	27	.	.	PUNCT
cana-6314	129	1	in	in	ADP
cana-6314	129	2	contrast	contrast	NOUN
cana-6314	129	3	,	,	PUNCT
cana-6314	129	4	vit	vit	NOUN
cana-6314	129	5	is	be	AUX
cana-6314	129	6	based	base	VERB
cana-6314	129	7	on	on	ADP
cana-6314	129	8	distinct	distinct	ADJ
cana-6314	129	9	mechanisms	mechanism	NOUN
cana-6314	129	10	.	.	PUNCT
cana-6314	130	1	with	with	ADP
cana-6314	130	2	the	the	DET
cana-6314	130	3	conventional	conventional	ADJ
cana-6314	130	4	neural	neural	ADJ
cana-6314	130	5	network	network	NOUN
cana-6314	130	6	for	for	ADP
cana-6314	130	7	convolution	convolution	NOUN
cana-6314	130	8	.	.	PUNCT
cana-6314	131	1	vit	vit	NOUN
cana-6314	131	2	processes	process	VERB
cana-6314	131	3	images	image	NOUN
cana-6314	131	4	using	use	VERB
cana-6314	131	5	a	a	DET
cana-6314	131	6	series	series	NOUN
cana-6314	131	7	of	of	ADP
cana-6314	131	8	image	image	NOUN
cana-6314	131	9	patches	patch	NOUN
cana-6314	131	10	and	and	CCONJ
cana-6314	131	11	self	self	NOUN
cana-6314	131	12	-	-	PUNCT
cana-6314	131	13	attention	attention	NOUN
cana-6314	131	14	.	.	PUNCT
cana-6314	132	1	the	the	DET
cana-6314	132	2	original	original	ADJ
cana-6314	132	3	paper	paper	NOUN
cana-6314	132	4	[	[	X
cana-6314	132	5	17	17	NUM
cana-6314	132	6	]	]	PUNCT
cana-6314	132	7	presents	present	VERB
cana-6314	132	8	the	the	DET
cana-6314	132	9	original	original	ADJ
cana-6314	132	10	vit	vit	ADJ
cana-6314	132	11	architecture	architecture	NOUN
cana-6314	132	12	.	.	PUNCT
cana-6314	133	1	in	in	ADP
cana-6314	133	2	order	order	NOUN
cana-6314	133	3	to	to	PART
cana-6314	133	4	give	give	VERB
cana-6314	133	5	spatial	spatial	ADJ
cana-6314	133	6	information	information	NOUN
cana-6314	133	7	,	,	PUNCT
cana-6314	133	8	vit	vit	NOUN
cana-6314	133	9	first	first	ADV
cana-6314	133	10	transforms	transform	VERB
cana-6314	133	11	the	the	DET
cana-6314	133	12	input	input	NOUN
cana-6314	133	13	image	image	NOUN
cana-6314	133	14	into	into	ADP
cana-6314	133	15	a	a	DET
cana-6314	133	16	set	set	NOUN
cana-6314	133	17	of	of	ADP
cana-6314	133	18	patches	patch	NOUN
cana-6314	133	19	,	,	PUNCT
cana-6314	133	20	each	each	PRON
cana-6314	133	21	of	of	ADP
cana-6314	133	22	which	which	PRON
cana-6314	133	23	is	be	AUX
cana-6314	133	24	connected	connect	VERB
cana-6314	133	25	to	to	ADP
cana-6314	133	26	its	its	PRON
cana-6314	133	27	spatial	spatial	ADJ
cana-6314	133	28	location	location	NOUN
cana-6314	133	29	.	.	PUNCT
cana-6314	134	1	after	after	ADP
cana-6314	134	2	that	that	PRON
cana-6314	134	3	,	,	PUNCT
cana-6314	134	4	a	a	DET
cana-6314	134	5	transformation	transformation	NOUN
cana-6314	134	6	encoding	encoding	NOUN
cana-6314	134	7	method	method	NOUN
cana-6314	134	8	is	be	AUX
cana-6314	134	9	applied	apply	VERB
cana-6314	134	10	to	to	ADP
cana-6314	134	11	each	each	DET
cana-6314	134	12	pair	pair	NOUN
cana-6314	134	13	.	.	PUNCT
cana-6314	135	1	lastly	lastly	ADV
cana-6314	135	2	,	,	PUNCT
cana-6314	135	3	a	a	DET
cana-6314	135	4	(	(	PUNCT
cana-6314	135	5	mlp	mlp	NOUN
cana-6314	135	6	)	)	PUNCT
cana-6314	135	7	is	be	AUX
cana-6314	135	8	employed	employ	VERB
cana-6314	135	9	to	to	PART
cana-6314	135	10	categorise	categorise	VERB
cana-6314	135	11	the	the	DET
cana-6314	135	12	acquired	acquire	VERB
cana-6314	135	13	image	image	NOUN
cana-6314	135	14	.	.	PUNCT
cana-6314	136	1	additionally	additionally	ADV
cana-6314	136	2	,	,	PUNCT
cana-6314	136	3	a	a	DET
cana-6314	136	4	big	big	ADJ
cana-6314	136	5	dataset	dataset	NOUN
cana-6314	136	6	can	can	AUX
cana-6314	136	7	be	be	AUX
cana-6314	136	8	used	use	VERB
cana-6314	136	9	to	to	PART
cana-6314	136	10	pre	pre	VERB
cana-6314	136	11	-	-	VERB
cana-6314	136	12	train	train	ADJ
cana-6314	136	13	vit	vit	NOUN
cana-6314	136	14	.	.	PUNCT
cana-6314	137	1	pseudocode	pseudocode	PROPN
cana-6314	137	2	input	input	NOUN
cana-6314	137	3	:	:	PUNCT
cana-6314	137	4	image	image	NOUN
cana-6314	137	5	of	of	ADP
cana-6314	137	6	size	size	NOUN
cana-6314	137	7	(	(	PUNCT
cana-6314	137	8	h	h	NOUN
cana-6314	137	9	,	,	PUNCT
cana-6314	137	10	w	w	PROPN
cana-6314	137	11	,	,	PUNCT
cana-6314	137	12	c	c	NOUN
cana-6314	137	13	)	)	PUNCT
cana-6314	137	14	1	1	NUM
cana-6314	137	15	.	.	X
cana-6314	137	16	split	split	VERB
cana-6314	137	17	image	image	NOUN
cana-6314	137	18	into	into	ADP
cana-6314	137	19	n	n	NUM
cana-6314	137	20	patches	patch	NOUN
cana-6314	137	21	2	2	NUM
cana-6314	137	22	.	.	NUM
cana-6314	137	23	flatten	flatten	VERB
cana-6314	137	24	and	and	CCONJ
cana-6314	137	25	project	project	NOUN
cana-6314	137	26	patches	patch	NOUN
cana-6314	137	27	to	to	PART
cana-6314	137	28	get	get	VERB
cana-6314	137	29	patch	patch	ADJ
cana-6314	137	30	embeddings	embedding	NOUN
cana-6314	137	31	3	3	X
cana-6314	137	32	.	.	PUNCT
cana-6314	137	33	add	add	VERB
cana-6314	137	34	positional	positional	ADJ
cana-6314	137	35	encodings	encoding	NOUN
cana-6314	137	36	4	4	NUM
cana-6314	137	37	.	.	X
cana-6314	137	38	pass	pass	VERB
cana-6314	137	39	sequence	sequence	NOUN
cana-6314	137	40	through	through	ADP
cana-6314	137	41	transformer	transformer	NOUN
cana-6314	137	42	encoder	encoder	NOUN
cana-6314	137	43	5	5	NUM
cana-6314	137	44	.	.	PUNCT
cana-6314	138	1	use	use	VERB
cana-6314	138	2	[	[	X
cana-6314	138	3	cls	cls	X
cana-6314	138	4	]	]	X
cana-6314	138	5	token	token	VERB
cana-6314	138	6	for	for	ADP
cana-6314	138	7	classification	classification	NOUN
cana-6314	138	8	output	output	NOUN
cana-6314	138	9	our	our	PRON
cana-6314	138	10	study	study	NOUN
cana-6314	138	11	showed	show	VERB
cana-6314	138	12	that	that	SCONJ
cana-6314	138	13	retinal	retinal	ADJ
cana-6314	138	14	image	image	NOUN
cana-6314	138	15	representations	representation	NOUN
cana-6314	138	16	learned	learn	VERB
cana-6314	138	17	through	through	ADP
cana-6314	138	18	a	a	DET
cana-6314	138	19	vision	vision	NOUN
cana-6314	138	20	transformer	transformer	NOUN
cana-6314	138	21	(	(	PUNCT
cana-6314	138	22	vit)based	vit)based	ADJ
cana-6314	138	23	model	model	NOUN
cana-6314	138	24	significantly	significantly	ADV
cana-6314	138	25	enhance	enhance	VERB
cana-6314	138	26	the	the	DET
cana-6314	138	27	classification	classification	NOUN
cana-6314	138	28	of	of	ADP
cana-6314	138	29	metabolic	metabolic	NOUN
cana-6314	138	30	syndrome	syndrome	NOUN
cana-6314	138	31	when	when	SCONJ
cana-6314	138	32	integrated	integrate	VERB
cana-6314	138	33	with	with	ADP
cana-6314	138	34	clinical	clinical	ADJ
cana-6314	138	35	data	datum	NOUN
cana-6314	138	36	.	.	PUNCT
cana-6314	139	1	while	while	SCONJ
cana-6314	139	2	previous	previous	ADJ
cana-6314	139	3	research	research	NOUN
cana-6314	139	4	has	have	AUX
cana-6314	139	5	primarily	primarily	ADV
cana-6314	139	6	utilized	utilize	VERB
cana-6314	139	7	clinical	clinical	ADJ
cana-6314	139	8	or	or	CCONJ
cana-6314	139	9	genetic	genetic	ADJ
cana-6314	139	10	data	datum	NOUN
cana-6314	139	11	from	from	ADP
cana-6314	139	12	health	health	NOUN
cana-6314	139	13	check	check	NOUN
cana-6314	139	14	-	-	PUNCT
cana-6314	139	15	ups	up	NOUN
cana-6314	139	16	,	,	PUNCT
cana-6314	139	17	applyin	applyin	PROPN
cana-6314	139	18	forest	forest	NOUN
cana-6314	139	19	,	,	PUNCT
cana-6314	139	20	svm	svm	PROPN
cana-6314	139	21	,	,	PUNCT
cana-6314	139	22	and	and	CCONJ
cana-6314	139	23	decision	decision	NOUN
cana-6314	139	24	tree	tree	NOUN
cana-6314	139	25	,	,	PUNCT
cana-6314	139	26	these	these	DET
cana-6314	139	27	methods	method	NOUN
cana-6314	139	28	often	often	ADV
cana-6314	139	29	rely	rely	VERB
cana-6314	139	30	on	on	ADP
cana-6314	139	31	invasive	invasive	ADJ
cana-6314	139	32	features	feature	NOUN
cana-6314	139	33	communications	communication	NOUN
cana-6314	139	34	on	on	ADP
cana-6314	139	35	applied	apply	VERB
cana-6314	139	36	nonlinear	nonlinear	ADJ
cana-6314	139	37	analysis	analysis	NOUN
cana-6314	139	38	issn	issn	NOUN
cana-6314	139	39	:	:	PUNCT
cana-6314	139	40	1074	1074	NUM
cana-6314	139	41	-	-	PUNCT
cana-6314	139	42	133x	133x	NUM
cana-6314	139	43	vol	vol	NOUN
cana-6314	139	44	32	32	NUM
cana-6314	139	45	no	no	NOUN
cana-6314	139	46	.	.	PUNCT
cana-6314	140	1	1s	1s	NUM
cana-6314	140	2	(	(	PUNCT
cana-6314	140	3	2025	2025	NUM
cana-6314	140	4	)	)	PUNCT
cana-6314	140	5	764	764	NUM
cana-6314	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	140	7	and	and	CCONJ
cana-6314	140	8	demand	demand	VERB
cana-6314	140	9	additional	additional	ADJ
cana-6314	140	10	data	datum	NOUN
cana-6314	140	11	collection	collection	NOUN
cana-6314	140	12	.	.	PUNCT
cana-6314	141	1	in	in	ADP
cana-6314	141	2	contrast	contrast	NOUN
cana-6314	141	3	,	,	PUNCT
cana-6314	141	4	retinal	retinal	ADJ
cana-6314	141	5	imaging	imaging	NOUN
cana-6314	141	6	provides	provide	VERB
cana-6314	141	7	a	a	DET
cana-6314	141	8	non	non	ADJ
cana-6314	141	9	-	-	ADJ
cana-6314	141	10	invasive	invasive	ADJ
cana-6314	141	11	and	and	CCONJ
cana-6314	141	12	accessible	accessible	ADJ
cana-6314	141	13	alternative	alternative	NOUN
cana-6314	141	14	.	.	PUNCT
cana-6314	142	1	recent	recent	ADJ
cana-6314	142	2	deep	deep	ADJ
cana-6314	142	3	learning	learning	NOUN
cana-6314	142	4	studies	study	NOUN
cana-6314	142	5	using	use	VERB
cana-6314	142	6	retinal	retinal	ADJ
cana-6314	142	7	images	image	NOUN
cana-6314	142	8	for	for	ADP
cana-6314	142	9	disease	disease	NOUN
cana-6314	142	10	detection	detection	NOUN
cana-6314	142	11	have	have	AUX
cana-6314	142	12	achieved	achieve	VERB
cana-6314	142	13	strong	strong	ADJ
cana-6314	142	14	performance	performance	NOUN
cana-6314	142	15	,	,	PUNCT
cana-6314	142	16	emphasizing	emphasize	VERB
cana-6314	142	17	their	their	PRON
cana-6314	142	18	value	value	NOUN
cana-6314	142	19	as	as	ADP
cana-6314	142	20	effective	effective	ADJ
cana-6314	142	21	biomarkers	biomarker	NOUN
cana-6314	142	22	.	.	PUNCT
cana-6314	143	1	our	our	PRON
cana-6314	143	2	results	result	NOUN
cana-6314	143	3	further	far	ADV
cana-6314	143	4	support	support	VERB
cana-6314	143	5	the	the	DET
cana-6314	143	6	potential	potential	NOUN
cana-6314	143	7	of	of	ADP
cana-6314	143	8	retinal	retinal	ADJ
cana-6314	143	9	images	image	NOUN
cana-6314	143	10	as	as	ADP
cana-6314	143	11	non	non	ADJ
cana-6314	143	12	-	-	ADJ
cana-6314	143	13	invasive	invasive	ADJ
cana-6314	143	14	indicators	indicator	NOUN
cana-6314	143	15	for	for	ADP
cana-6314	143	16	metabolic	metabolic	NOUN
cana-6314	143	17	syndrome	syndrome	NOUN
cana-6314	143	18	,	,	PUNCT
cana-6314	143	19	advancing	advance	VERB
cana-6314	143	20	their	their	PRON
cana-6314	143	21	role	role	NOUN
cana-6314	143	22	in	in	ADP
cana-6314	143	23	assessing	assess	VERB
cana-6314	143	24	and	and	CCONJ
cana-6314	143	25	monitoring	monitor	VERB
cana-6314	143	26	systemic	systemic	ADJ
cana-6314	143	27	health	health	NOUN
cana-6314	143	28	conditions	condition	NOUN
cana-6314	143	29	.	.	PUNCT
cana-6314	144	1	4	4	X
cana-6314	144	2	.	.	X
cana-6314	144	3	experimental	experimental	ADJ
cana-6314	144	4	results	result	NOUN
cana-6314	144	5	analysis	analysis	NOUN
cana-6314	144	6	the	the	DET
cana-6314	144	7	performance	performance	NOUN
cana-6314	144	8	of	of	ADP
cana-6314	144	9	several	several	ADJ
cana-6314	144	10	supervised	supervised	ADJ
cana-6314	144	11	machine	machine	NOUN
cana-6314	144	12	learning	learning	NOUN
cana-6314	144	13	classifiers	classifier	NOUN
cana-6314	144	14	used	use	VERB
cana-6314	144	15	to	to	PART
cana-6314	144	16	predict	predict	VERB
cana-6314	144	17	type	type	NOUN
cana-6314	144	18	2	2	NUM
cana-6314	144	19	diabetes	diabetes	NOUN
cana-6314	144	20	mellitus	mellitus	NOUN
cana-6314	144	21	(	(	PUNCT
cana-6314	144	22	t2	t2	NOUN
cana-6314	144	23	dm	dm	NOUN
cana-6314	144	24	)	)	PUNCT
cana-6314	144	25	using	use	VERB
cana-6314	144	26	the	the	DET
cana-6314	144	27	pima	pima	PROPN
cana-6314	144	28	indian	indian	PROPN
cana-6314	144	29	diabetes	diabetes	NOUN
cana-6314	144	30	dataset	dataset	VERB
cana-6314	144	31	is	be	AUX
cana-6314	144	32	the	the	DET
cana-6314	144	33	main	main	ADJ
cana-6314	144	34	topic	topic	NOUN
cana-6314	144	35	of	of	ADP
cana-6314	144	36	the	the	DET
cana-6314	144	37	results	result	NOUN
cana-6314	144	38	and	and	CCONJ
cana-6314	144	39	discussion	discussion	NOUN
cana-6314	144	40	section	section	NOUN
cana-6314	144	41	.	.	PUNCT
cana-6314	145	1	it	it	PRON
cana-6314	145	2	comprises	comprise	VERB
cana-6314	145	3	a	a	DET
cana-6314	145	4	review	review	NOUN
cana-6314	145	5	of	of	ADP
cana-6314	145	6	the	the	DET
cana-6314	145	7	findings	finding	NOUN
cana-6314	145	8	from	from	ADP
cana-6314	145	9	six	six	NUM
cana-6314	145	10	classifiers	classifier	NOUN
cana-6314	145	11	:	:	PUNCT
cana-6314	145	12	k(knn	k(knn	PROPN
cana-6314	145	13	)	)	PUNCT
cana-6314	145	14	,	,	PUNCT
cana-6314	145	15	(	(	PUNCT
cana-6314	145	16	dt	dt	PROPN
cana-6314	145	17	)	)	PUNCT
cana-6314	145	18	,	,	PUNCT
cana-6314	145	19	(	(	PUNCT
cana-6314	145	20	rf	rf	NOUN
cana-6314	145	21	)	)	PUNCT
cana-6314	145	22	,	,	PUNCT
cana-6314	145	23	(	(	PUNCT
cana-6314	145	24	svc	svc	NOUN
cana-6314	145	25	)	)	PUNCT
cana-6314	145	26	,	,	PUNCT
cana-6314	145	27	naive	naive	ADJ
cana-6314	145	28	bayes	bayes	NOUN
cana-6314	145	29	(	(	PUNCT
cana-6314	145	30	nb	nb	NOUN
cana-6314	145	31	)	)	PUNCT
cana-6314	145	32	,	,	PUNCT
cana-6314	145	33	and	and	CCONJ
cana-6314	145	34	(	(	PUNCT
cana-6314	145	35	lr	lr	NOUN
cana-6314	145	36	)	)	PUNCT
cana-6314	145	37	.	.	PUNCT
cana-6314	146	1	4.1	4.1	NUM
cana-6314	146	2	performance	performance	NOUN
cana-6314	146	3	evaluation	evaluation	NOUN
cana-6314	146	4	metrics	metric	NOUN
cana-6314	146	5	to	to	PART
cana-6314	146	6	assess	assess	VERB
cana-6314	146	7	the	the	DET
cana-6314	146	8	efficacy	efficacy	NOUN
cana-6314	146	9	of	of	ADP
cana-6314	146	10	different	different	ADJ
cana-6314	146	11	classifiers	classifier	NOUN
cana-6314	146	12	,	,	PUNCT
cana-6314	146	13	performance	performance	NOUN
cana-6314	146	14	evaluation	evaluation	NOUN
cana-6314	146	15	metrics	metric	NOUN
cana-6314	146	16	including	include	VERB
cana-6314	146	17	sensitivity	sensitivity	NOUN
cana-6314	146	18	,	,	PUNCT
cana-6314	146	19	specificity	specificity	NOUN
cana-6314	146	20	,	,	PUNCT
cana-6314	146	21	and	and	CCONJ
cana-6314	146	22	accuracy	accuracy	NOUN
cana-6314	146	23	are	be	AUX
cana-6314	146	24	employed	employ	VERB
cana-6314	146	25	.	.	PUNCT
cana-6314	147	1	table	table	NOUN
cana-6314	147	2	1	1	NUM
cana-6314	147	3	shows	show	VERB
cana-6314	147	4	the	the	DET
cana-6314	147	5	performance	performance	NOUN
cana-6314	147	6	indicators	indicator	NOUN
cana-6314	147	7	for	for	ADP
cana-6314	147	8	the	the	DET
cana-6314	147	9	pima	pima	PROPN
cana-6314	147	10	indian	indian	PROPN
cana-6314	147	11	diabetes	diabetes	NOUN
cana-6314	147	12	database	database	NOUN
cana-6314	147	13	using	use	VERB
cana-6314	147	14	different	different	ADJ
cana-6314	147	15	classifiers	classifier	NOUN
cana-6314	147	16	.	.	PUNCT
cana-6314	148	1	the	the	DET
cana-6314	148	2	following	follow	VERB
cana-6314	148	3	results	result	NOUN
cana-6314	148	4	make	make	VERB
cana-6314	148	5	up	up	ADP
cana-6314	148	6	the	the	DET
cana-6314	148	7	confusion	confusion	NOUN
cana-6314	148	8	matrix	matrix	NOUN
cana-6314	148	9	displayed	display	VERB
cana-6314	148	10	in	in	ADP
cana-6314	148	11	table	table	NOUN
cana-6314	148	12	1	1	NUM
cana-6314	148	13	:	:	PUNCT
cana-6314	148	14	predicted	predict	VERB
cana-6314	148	15	results	result	NOUN
cana-6314	148	16	actual	actual	ADJ
cana-6314	148	17	positive	positive	ADJ
cana-6314	148	18	actual	actual	ADJ
cana-6314	148	19	negative	negative	ADJ
cana-6314	149	1	yes	yes	INTJ
cana-6314	149	2	(	(	PUNCT
cana-6314	149	3	tp	tp	NOUN
cana-6314	149	4	)	)	PUNCT
cana-6314	149	5	(	(	PUNCT
cana-6314	149	6	fp	fp	X
cana-6314	149	7	)	)	PUNCT
cana-6314	149	8	no	no	PROPN
cana-6314	149	9	(	(	PUNCT
cana-6314	149	10	fn	fn	NOUN
cana-6314	149	11	)	)	PUNCT
cana-6314	149	12	(	(	PUNCT
cana-6314	149	13	tn	tn	NOUN
cana-6314	149	14	)	)	PUNCT
cana-6314	149	15	table	table	NOUN
cana-6314	149	16	2	2	NUM
cana-6314	149	17	:	:	PUNCT
cana-6314	149	18	performance	performance	NOUN
cana-6314	149	19	metrics	metric	NOUN
cana-6314	149	20	for	for	ADP
cana-6314	149	21	classifiers	classifier	NOUN
cana-6314	149	22	(	(	PUNCT
cana-6314	149	23	dataset	dataset	VERB
cana-6314	149	24	1	1	NUM
cana-6314	149	25	)	)	PUNCT
cana-6314	149	26	classifier	classifier	NOUN
cana-6314	149	27	precision	precision	NOUN
cana-6314	149	28	recall	recall	PROPN
cana-6314	149	29	f1	f1	PROPN
cana-6314	149	30	score	score	NOUN
cana-6314	149	31	accuracy	accuracy	NOUN
cana-6314	149	32	svm	svm	VERB
cana-6314	149	33	1.7386	1.7386	NUM
cana-6314	149	34	1.6795	1.6795	NUM
cana-6314	149	35	1.471	1.471	NUM
cana-6314	149	36	1.7222	1.7222	NUM
cana-6314	149	37	naïve	naïve	ADJ
cana-6314	149	38	bayes	baye	NOUN
cana-6314	149	39	1.7941	1.7941	NUM
cana-6314	149	40	1.7667	1.7667	NUM
cana-6314	149	41	1.729	1.729	NUM
cana-6314	149	42	1.7857	1.7857	NUM
cana-6314	149	43	communications	communication	NOUN
cana-6314	149	44	on	on	ADP
cana-6314	149	45	applied	apply	VERB
cana-6314	149	46	nonlinear	nonlinear	ADJ
cana-6314	149	47	analysis	analysis	NOUN
cana-6314	149	48	issn	issn	NOUN
cana-6314	149	49	:	:	PUNCT
cana-6314	149	50	1074	1074	NUM
cana-6314	149	51	-	-	PUNCT
cana-6314	149	52	133x	133x	NUM
cana-6314	149	53	vol	vol	NOUN
cana-6314	149	54	32	32	NUM
cana-6314	150	1	no	no	NOUN
cana-6314	150	2	.	.	PUNCT
cana-6314	151	1	1s	1s	NUM
cana-6314	151	2	(	(	PUNCT
cana-6314	151	3	2025	2025	NUM
cana-6314	151	4	)	)	PUNCT
cana-6314	151	5	765	765	NUM
cana-6314	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	151	7	decision	decision	NOUN
cana-6314	151	8	tree	tree	NOUN
cana-6314	151	9	1.9107	1.9107	NUM
cana-6314	151	10	1.8775	1.8775	NUM
cana-6314	151	11	1.418	1.418	NUM
cana-6314	151	12	1.8997	1.8997	NUM
cana-6314	151	13	knn	knn	PROPN
cana-6314	151	14	1.7402	1.7402	NUM
cana-6314	151	15	1.6331	1.6331	NUM
cana-6314	151	16	1.541	1.541	NUM
cana-6314	151	17	1.7035	1.7035	NUM
cana-6314	151	18	performance	performance	NOUN
cana-6314	151	19	metrics	metric	NOUN
cana-6314	151	20	for	for	ADP
cana-6314	151	21	several	several	ADJ
cana-6314	151	22	classifiers	classifier	NOUN
cana-6314	151	23	on	on	ADP
cana-6314	151	24	vivo	vivo	ADJ
cana-6314	151	25	dataset	dataset	NOUN
cana-6314	151	26	2	2	NUM
cana-6314	151	27	with	with	ADP
cana-6314	151	28	82	82	NUM
cana-6314	151	29	patients	patient	NOUN
cana-6314	151	30	are	be	AUX
cana-6314	151	31	displayed	display	VERB
cana-6314	151	32	in	in	ADP
cana-6314	151	33	table	table	NOUN
cana-6314	151	34	3	3	NUM
cana-6314	151	35	below	below	ADV
cana-6314	151	36	.	.	PUNCT
cana-6314	152	1	table	table	NOUN
cana-6314	152	2	3	3	NUM
cana-6314	152	3	:	:	PUNCT
cana-6314	152	4	classifier	classifier	NOUN
cana-6314	152	5	performance	performance	NOUN
cana-6314	152	6	metrics	metric	NOUN
cana-6314	152	7	(	(	PUNCT
cana-6314	152	8	dataset	dataset	VERB
cana-6314	152	9	2	2	NUM
cana-6314	152	10	)	)	PUNCT
cana-6314	152	11	classifier	classifier	NOUN
cana-6314	152	12	precision	precision	NOUN
cana-6314	152	13	recall	recall	PROPN
cana-6314	152	14	f1	f1	PROPN
cana-6314	152	15	score	score	NOUN
cana-6314	152	16	accuracy	accuracy	NOUN
cana-6314	152	17	svm	svm	VERB
cana-6314	152	18	1.6	1.6	NUM
cana-6314	152	19	1.8148	1.8148	NUM
cana-6314	152	20	1.75	1.75	NUM
cana-6314	152	21	1.722	1.722	NUM
cana-6314	152	22	naïve	naïve	ADJ
cana-6314	152	23	bayes	baye	NOUN
cana-6314	152	24	1.75	1.75	NUM
cana-6314	152	25	1.7222	1.7222	NUM
cana-6314	152	26	1.7273	1.7273	NUM
cana-6314	152	27	1.765	1.765	NUM
cana-6314	152	28	decision	decision	NOUN
cana-6314	152	29	tree	tree	NOUN
cana-6314	152	30	1.8947	1.8947	NUM
cana-6314	152	31	1.9206	1.9206	NUM
cana-6314	152	32	1.9146	1.9146	NUM
cana-6314	152	33	1.892	1.892	NUM
cana-6314	152	34	knn	knn	PROPN
cana-6314	152	35	1.0	1.0	NUM
cana-6314	152	36	1.75	1.75	NUM
cana-6314	152	37	1.7187	1.7187	NUM
cana-6314	152	38	1.707	1.707	NUM
cana-6314	152	39	communications	communication	NOUN
cana-6314	152	40	on	on	ADP
cana-6314	152	41	applied	apply	VERB
cana-6314	152	42	nonlinear	nonlinear	ADJ
cana-6314	152	43	analysis	analysis	NOUN
cana-6314	152	44	issn	issn	NOUN
cana-6314	152	45	:	:	PUNCT
cana-6314	152	46	1074	1074	NUM
cana-6314	152	47	-	-	PUNCT
cana-6314	152	48	133x	133x	NUM
cana-6314	152	49	vol	vol	NOUN
cana-6314	152	50	32	32	NUM
cana-6314	153	1	no	no	NOUN
cana-6314	153	2	.	.	PUNCT
cana-6314	154	1	1s	1s	NUM
cana-6314	154	2	(	(	PUNCT
cana-6314	154	3	2025	2025	NUM
cana-6314	154	4	)	)	PUNCT
cana-6314	154	5	766	766	NUM
cana-6314	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	154	7	different	different	ADJ
cana-6314	154	8	performance	performance	NOUN
cana-6314	154	9	results	result	NOUN
cana-6314	154	10	for	for	ADP
cana-6314	154	11	each	each	DET
cana-6314	154	12	categorization	categorization	NOUN
cana-6314	154	13	technique	technique	NOUN
cana-6314	154	14	based	base	VERB
cana-6314	154	15	on	on	ADP
cana-6314	154	16	several	several	ADJ
cana-6314	154	17	measures	measure	NOUN
cana-6314	154	18	are	be	AUX
cana-6314	154	19	shown	show	VERB
cana-6314	154	20	in	in	ADP
cana-6314	154	21	tables	table	NOUN
cana-6314	154	22	1	1	NUM
cana-6314	154	23	and	and	CCONJ
cana-6314	154	24	2	2	NUM
cana-6314	154	25	.	.	NOUN
cana-6314	154	26	5	5	NUM
cana-6314	154	27	.	.	X
cana-6314	154	28	results	result	NOUN
cana-6314	154	29	of	of	ADP
cana-6314	154	30	dataset	dataset	NOUN
cana-6314	154	31	−1	−1	NOUN
cana-6314	154	32	(	(	PUNCT
cana-6314	154	33	model	model	NOUN
cana-6314	154	34	construction	construction	NOUN
cana-6314	154	35	)	)	PUNCT
cana-6314	154	36	5.1	5.1	NUM
cana-6314	154	37	split_train_test	split_train_test	X
cana-6314	154	38	split_train_test	split_train_test	X
cana-6314	154	39	,	,	PUNCT
cana-6314	154	40	which	which	PRON
cana-6314	154	41	divides	divide	VERB
cana-6314	154	42	a	a	DET
cana-6314	154	43	one	one	NUM
cana-6314	154	44	essential	essential	ADJ
cana-6314	154	45	machine	machine	NOUN
cana-6314	154	46	learning	learn	VERB
cana-6314	154	47	function	function	NOUN
cana-6314	154	48	is	be	AUX
cana-6314	154	49	the	the	DET
cana-6314	154	50	division	division	NOUN
cana-6314	154	51	of	of	ADP
cana-6314	154	52	data	datum	NOUN
cana-6314	154	53	into	into	ADP
cana-6314	154	54	two	two	NUM
cana-6314	154	55	sections	section	NOUN
cana-6314	154	56	:	:	PUNCT
cana-6314	154	57	one	one	NUM
cana-6314	154	58	for	for	ADP
cana-6314	154	59	model	model	NOUN
cana-6314	154	60	training	training	NOUN
cana-6314	154	61	and	and	CCONJ
cana-6314	154	62	the	the	DET
cana-6314	154	63	other	other	ADJ
cana-6314	154	64	for	for	ADP
cana-6314	154	65	performance	performance	NOUN
cana-6314	154	66	evaluation	evaluation	NOUN
cana-6314	154	67	.	.	PUNCT
cana-6314	155	1	overfitting	overfitte	VERB
cana-6314	155	2	is	be	AUX
cana-6314	155	3	the	the	DET
cana-6314	155	4	result	result	NOUN
cana-6314	155	5	of	of	ADP
cana-6314	155	6	a	a	DET
cana-6314	155	7	model	model	NOUN
cana-6314	155	8	just	just	ADV
cana-6314	155	9	learning	learn	VERB
cana-6314	155	10	the	the	DET
cana-6314	155	11	training	training	NOUN
cana-6314	155	12	data	datum	NOUN
cana-6314	155	13	by	by	ADP
cana-6314	155	14	heart	heart	NOUN
cana-6314	155	15	rather	rather	ADV
cana-6314	155	16	than	than	ADP
cana-6314	155	17	generalizing	generalize	VERB
cana-6314	155	18	successfully	successfully	ADV
cana-6314	155	19	to	to	ADP
cana-6314	155	20	new	new	ADJ
cana-6314	155	21	,	,	PUNCT
cana-6314	155	22	unknown	unknown	ADJ
cana-6314	155	23	data	datum	NOUN
cana-6314	155	24	,	,	PUNCT
cana-6314	155	25	is	be	AUX
cana-6314	155	26	prevented	prevent	VERB
cana-6314	155	27	by	by	ADP
cana-6314	155	28	this	this	DET
cana-6314	155	29	process	process	NOUN
cana-6314	155	30	.	.	PUNCT
cana-6314	156	1	f1_score	f1_score	ADJ
cana-6314	156	2	=	=	SYM
cana-6314	156	3	2	2	NUM
cana-6314	156	4	*	*	PUNCT
cana-6314	156	5	(	(	PUNCT
cana-6314	156	6	precision	precision	NOUN
cana-6314	156	7	*	*	PUNCT
cana-6314	156	8	recall	recall	PROPN
cana-6314	156	9	)	)	PUNCT
cana-6314	156	10	/	/	PUNCT
cana-6314	156	11	(	(	PUNCT
cana-6314	156	12	precision	precision	NOUN
cana-6314	156	13	+	+	CCONJ
cana-6314	156	14	recall	recall	NOUN
cana-6314	156	15	)	)	PUNCT
cana-6314	156	16	table	table	NOUN
cana-6314	156	17	4	4	NUM
cana-6314	156	18	:	:	PUNCT
cana-6314	156	19	features	feature	NOUN
cana-6314	156	20	of	of	ADP
cana-6314	156	21	dataset-1	dataset-1	PROPN
cana-6314	156	22	:	:	PUNCT
cana-6314	156	23	attribute	attribute	NOUN
cana-6314	156	24	description	description	NOUN
cana-6314	156	25	pregnancies	pregnancy	NOUN
cana-6314	156	26	number	number	NOUN
cana-6314	156	27	of	of	ADP
cana-6314	156	28	times	time	NOUN
cana-6314	156	29	the	the	DET
cana-6314	156	30	person	person	NOUN
cana-6314	156	31	has	have	AUX
cana-6314	156	32	been	be	AUX
cana-6314	156	33	pregnant	pregnant	ADJ
cana-6314	156	34	glucose	glucose	NOUN
cana-6314	156	35	plasma	plasma	NOUN
cana-6314	156	36	glucose	glucose	NOUN
cana-6314	156	37	concentration	concentration	NOUN
cana-6314	156	38	measured	measure	VERB
cana-6314	156	39	2	2	NUM
cana-6314	156	40	hours	hour	NOUN
cana-6314	156	41	after	after	SCONJ
cana-6314	156	42	glucose	glucose	NOUN
cana-6314	156	43	intake	intake	ADJ
cana-6314	156	44	blood	blood	NOUN
cana-6314	156	45	pressure	pressure	NOUN
cana-6314	156	46	diastolic	diastolic	NOUN
cana-6314	156	47	blood	blood	NOUN
cana-6314	156	48	pressure	pressure	NOUN
cana-6314	156	49	(	(	PUNCT
cana-6314	156	50	mm	mm	PROPN
cana-6314	156	51	hg	hg	NOUN
cana-6314	156	52	)	)	PUNCT
cana-6314	156	53	skin	skin	NOUN
cana-6314	156	54	thickness	thickness	NOUN
cana-6314	156	55	thickness	thickness	NOUN
cana-6314	156	56	of	of	ADP
cana-6314	156	57	triceps	triceps	ADJ
cana-6314	156	58	skin	skin	NOUN
cana-6314	156	59	fold	fold	NOUN
cana-6314	156	60	(	(	PUNCT
cana-6314	156	61	mm	mm	NOUN
cana-6314	156	62	)	)	PUNCT
cana-6314	156	63	insulin	insulin	NOUN
cana-6314	156	64	serum	serum	NOUN
cana-6314	156	65	insulin	insulin	NOUN
cana-6314	156	66	level	level	NOUN
cana-6314	156	67	(	(	PUNCT
cana-6314	156	68	mu	mu	NOUN
cana-6314	156	69	u	u	PROPN
cana-6314	156	70	/	/	SYM
cana-6314	156	71	ml	ml	NOUN
cana-6314	156	72	)	)	PUNCT
cana-6314	156	73	2	2	NUM
cana-6314	156	74	hours	hour	NOUN
cana-6314	156	75	after	after	SCONJ
cana-6314	156	76	ingestion	ingestion	NOUN
cana-6314	156	77	bmi	bmi	NOUN
cana-6314	156	78	body	body	NOUN
cana-6314	156	79	mass	mass	PROPN
cana-6314	156	80	index	index	NOUN
cana-6314	156	81	(	(	PUNCT
cana-6314	156	82	weight	weight	NOUN
cana-6314	156	83	in	in	ADP
cana-6314	156	84	kg	kg	PROPN
cana-6314	156	85	/	/	SYM
cana-6314	156	86	height	height	NOUN
cana-6314	156	87	in	in	ADP
cana-6314	156	88	m²	m²	PROPN
cana-6314	156	89	)	)	PUNCT
cana-6314	156	90	diabetes	diabete	VERB
cana-6314	156	91	pedigree	pedigree	ADJ
cana-6314	156	92	function	function	NOUN
cana-6314	156	93	likelihood	likelihood	NOUN
cana-6314	156	94	of	of	ADP
cana-6314	156	95	diabetes	diabetes	NOUN
cana-6314	156	96	based	base	VERB
cana-6314	156	97	on	on	ADP
cana-6314	156	98	family	family	NOUN
cana-6314	156	99	history	history	NOUN
cana-6314	156	100	age	age	NOUN
cana-6314	156	101	age	age	NOUN
cana-6314	156	102	of	of	ADP
cana-6314	156	103	the	the	DET
cana-6314	156	104	individual	individual	NOUN
cana-6314	156	105	(	(	PUNCT
cana-6314	156	106	in	in	ADP
cana-6314	156	107	years	year	NOUN
cana-6314	156	108	)	)	PUNCT
cana-6314	156	109	communications	communication	NOUN
cana-6314	156	110	on	on	ADP
cana-6314	156	111	applied	apply	VERB
cana-6314	156	112	nonlinear	nonlinear	ADJ
cana-6314	156	113	analysis	analysis	NOUN
cana-6314	156	114	issn	issn	NOUN
cana-6314	156	115	:	:	PUNCT
cana-6314	156	116	1074	1074	NUM
cana-6314	156	117	-	-	PUNCT
cana-6314	156	118	133x	133x	NUM
cana-6314	156	119	vol	vol	NOUN
cana-6314	156	120	32	32	NUM
cana-6314	157	1	no	no	NOUN
cana-6314	157	2	.	.	PUNCT
cana-6314	158	1	1s	1s	NUM
cana-6314	158	2	(	(	PUNCT
cana-6314	158	3	2025	2025	NUM
cana-6314	158	4	)	)	PUNCT
cana-6314	158	5	767	767	NUM
cana-6314	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	158	7	outcome	outcome	NOUN
cana-6314	158	8	diabetes	diabetes	NOUN
cana-6314	158	9	status	status	NOUN
cana-6314	158	10	(	(	PUNCT
cana-6314	158	11	0	0	NUM
cana-6314	158	12	=	=	SYM
cana-6314	158	13	no	no	DET
cana-6314	158	14	diabetes	diabetes	NOUN
cana-6314	158	15	,	,	PUNCT
cana-6314	158	16	1	1	NUM
cana-6314	158	17	=	=	SYM
cana-6314	158	18	diabetes	diabetes	NOUN
cana-6314	158	19	)	)	PUNCT
cana-6314	158	20	table	table	NOUN
cana-6314	158	21	5	5	NUM
cana-6314	158	22	:	:	PUNCT
cana-6314	158	23	missing	miss	VERB
cana-6314	158	24	values	value	NOUN
cana-6314	158	25	in	in	ADP
cana-6314	158	26	dataset-1	dataset-1	PROPN
cana-6314	158	27	:	:	PUNCT
cana-6314	158	28	feature	feature	NOUN
cana-6314	158	29	number	number	NOUN
cana-6314	158	30	of	of	ADP
cana-6314	158	31	missing	miss	VERB
cana-6314	158	32	values	value	NOUN
cana-6314	158	33	glucose	glucose	VERB
cana-6314	158	34	7	7	NUM
cana-6314	158	35	blood	blood	NOUN
cana-6314	158	36	pressure	pressure	NOUN
cana-6314	158	37	38	38	NUM
cana-6314	158	38	skin	skin	NOUN
cana-6314	158	39	thickness	thickness	NOUN
cana-6314	158	40	257	257	NUM
cana-6314	158	41	insulin	insulin	NOUN
cana-6314	158	42	367	367	NUM
cana-6314	158	43	bmi	bmi	NOUN
cana-6314	158	44	15	15	NUM
cana-6314	158	45	table	table	NOUN
cana-6314	158	46	6	6	NUM
cana-6314	158	47	:	:	PUNCT
cana-6314	158	48	features	feature	NOUN
cana-6314	158	49	of	of	ADP
cana-6314	158	50	diabetes	diabete	NOUN
cana-6314	158	51	dataset	dataset	VERB
cana-6314	158	52	2	2	NUM
cana-6314	158	53	:	:	PUNCT
cana-6314	158	54	attribute	attribute	NOUN
cana-6314	158	55	description	description	NOUN
cana-6314	158	56	age	age	NOUN
cana-6314	158	57	age	age	NOUN
cana-6314	158	58	in	in	ADP
cana-6314	158	59	years	year	NOUN
cana-6314	158	60	gender	gender	NOUN
cana-6314	158	61	gender	gender	NOUN
cana-6314	158	62	of	of	ADP
cana-6314	158	63	the	the	DET
cana-6314	158	64	participant	participant	ADJ
cana-6314	158	65	family	family	NOUN
cana-6314	158	66	diabetes	diabetes	NOUN
cana-6314	158	67	family	family	NOUN
cana-6314	158	68	history	history	NOUN
cana-6314	158	69	with	with	ADP
cana-6314	158	70	diabetes	diabetes	NOUN
cana-6314	158	71	high	high	ADJ
cana-6314	158	72	bp	bp	PROPN
cana-6314	158	73	diagnosed	diagnose	VERB
cana-6314	158	74	with	with	ADP
cana-6314	158	75	high	high	ADJ
cana-6314	158	76	blood	blood	NOUN
cana-6314	158	77	pressure	pressure	NOUN
cana-6314	158	78	physically	physically	ADV
cana-6314	158	79	active	active	ADJ
cana-6314	158	80	walk	walk	NOUN
cana-6314	158	81	/	/	SYM
cana-6314	158	82	run	run	NOUN
cana-6314	158	83	/	/	SYM
cana-6314	158	84	physically	physically	ADV
cana-6314	158	85	active	active	ADJ
cana-6314	158	86	bmi	bmi	NOUN
cana-6314	158	87	body	body	NOUN
cana-6314	158	88	mass	mass	PROPN
cana-6314	158	89	index	index	NOUN
cana-6314	158	90	smoking	smoking	NOUN
cana-6314	158	91	smoking	smoking	NOUN
cana-6314	158	92	alcohol	alcohol	NOUN
cana-6314	158	93	alcohol	alcohol	NOUN
cana-6314	158	94	consumption	consumption	NOUN
cana-6314	158	95	sleep	sleep	NOUN
cana-6314	158	96	hours	hour	NOUN
cana-6314	158	97	of	of	ADP
cana-6314	158	98	sleep	sleep	NOUN
cana-6314	158	99	sound	sound	NOUN
cana-6314	158	100	sleep	sleep	NOUN
cana-6314	158	101	hours	hour	NOUN
cana-6314	158	102	of	of	ADP
cana-6314	158	103	sound	sound	ADJ
cana-6314	158	104	sleep	sleep	NOUN
cana-6314	158	105	regular	regular	ADJ
cana-6314	158	106	medicine	medicine	NOUN
cana-6314	158	107	regular	regular	ADJ
cana-6314	158	108	intake	intake	NOUN
cana-6314	158	109	of	of	ADP
cana-6314	158	110	medicine	medicine	NOUN
cana-6314	158	111	?	?	PUNCT
cana-6314	159	1	junk	junk	NOUN
cana-6314	159	2	food	food	NOUN
cana-6314	159	3	junk	junk	NOUN
cana-6314	159	4	food	food	NOUN
cana-6314	159	5	consumption	consumption	NOUN
cana-6314	159	6	stress	stress	NOUN
cana-6314	159	7	not	not	PART
cana-6314	159	8	at	at	ADV
cana-6314	159	9	all	all	ADV
cana-6314	159	10	,	,	PUNCT
cana-6314	159	11	sometimes	sometimes	ADV
cana-6314	159	12	,	,	PUNCT
cana-6314	159	13	often	often	ADV
cana-6314	159	14	,	,	PUNCT
cana-6314	159	15	always	always	ADV
cana-6314	159	16	bp	bp	PROPN
cana-6314	159	17	level	level	NOUN
cana-6314	159	18	blood	blood	NOUN
cana-6314	159	19	pressure	pressure	NOUN
cana-6314	159	20	level	level	NOUN
cana-6314	159	21	pregnancies	pregnancy	NOUN
cana-6314	159	22	number	number	NOUN
cana-6314	159	23	of	of	ADP
cana-6314	159	24	pregnancies	pregnancy	NOUN
cana-6314	159	25	communications	communication	NOUN
cana-6314	159	26	on	on	ADP
cana-6314	159	27	applied	apply	VERB
cana-6314	159	28	nonlinear	nonlinear	ADJ
cana-6314	159	29	analysis	analysis	NOUN
cana-6314	159	30	issn	issn	NOUN
cana-6314	159	31	:	:	PUNCT
cana-6314	159	32	1074	1074	NUM
cana-6314	159	33	-	-	PUNCT
cana-6314	159	34	133x	133x	NUM
cana-6314	159	35	vol	vol	NOUN
cana-6314	159	36	32	32	NUM
cana-6314	159	37	no	no	NOUN
cana-6314	159	38	.	.	PUNCT
cana-6314	160	1	1s	1s	NUM
cana-6314	160	2	(	(	PUNCT
cana-6314	160	3	2025	2025	NUM
cana-6314	160	4	)	)	PUNCT
cana-6314	160	5	768	768	NUM
cana-6314	161	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	161	2	pdiabetes	pdiabete	VERB
cana-6314	161	3	gestational	gestational	ADJ
cana-6314	161	4	diabetes	diabetes	NOUN
cana-6314	161	5	uriation	uriation	NOUN
cana-6314	161	6	freq	freq	NOUN
cana-6314	161	7	frequency	frequency	NOUN
cana-6314	161	8	of	of	ADP
cana-6314	161	9	urination	urination	NOUN
cana-6314	161	10	diabetic	diabetic	ADJ
cana-6314	162	1	yes	yes	INTJ
cana-6314	162	2	or	or	CCONJ
cana-6314	162	3	no	no	DET
cana-6314	162	4	5.2	5.2	NUM
cana-6314	162	5	.	.	PUNCT
cana-6314	163	1	comparison	comparison	NOUN
cana-6314	163	2	with	with	ADP
cana-6314	163	3	other	other	ADJ
cana-6314	163	4	researches	research	NOUN
cana-6314	163	5	tigga	tigga	PROPN
cana-6314	163	6	&	&	CCONJ
cana-6314	163	7	garg	garg	PROPN
cana-6314	163	8	(	(	PUNCT
cana-6314	163	9	2020	2020	NUM
cana-6314	163	10	)	)	PUNCT
cana-6314	163	11	gathered	gather	VERB
cana-6314	163	12	dataset-3	dataset-3	NUM
cana-6314	163	13	and	and	CCONJ
cana-6314	163	14	investigated	investigate	VERB
cana-6314	163	15	diabetes	diabetes	NOUN
cana-6314	163	16	detection	detection	NOUN
cana-6314	163	17	with	with	ADP
cana-6314	163	18	six	six	NUM
cana-6314	163	19	machine	machine	NOUN
cana-6314	163	20	learning	learn	VERB
cana-6314	163	21	methods	method	NOUN
cana-6314	163	22	and	and	CCONJ
cana-6314	163	23	several	several	ADJ
cana-6314	163	24	attributes	attribute	NOUN
cana-6314	163	25	.	.	PUNCT
cana-6314	164	1	we	we	PRON
cana-6314	164	2	used	use	VERB
cana-6314	164	3	their	their	PRON
cana-6314	164	4	dataset	dataset	NOUN
cana-6314	164	5	in	in	ADP
cana-6314	164	6	our	our	PRON
cana-6314	164	7	work	work	NOUN
cana-6314	164	8	and	and	CCONJ
cana-6314	164	9	improved	improve	VERB
cana-6314	164	10	the	the	DET
cana-6314	164	11	data	datum	NOUN
cana-6314	164	12	quality	quality	NOUN
cana-6314	164	13	by	by	ADP
cana-6314	164	14	applying	apply	VERB
cana-6314	164	15	pre	pre	ADJ
cana-6314	164	16	-	-	ADJ
cana-6314	164	17	processing	processing	ADJ
cana-6314	164	18	methods	method	NOUN
cana-6314	164	19	like	like	ADP
cana-6314	164	20	label	label	NOUN
cana-6314	164	21	encoding	encoding	NOUN
cana-6314	164	22	and	and	CCONJ
cana-6314	164	23	normalization	normalization	NOUN
cana-6314	164	24	.	.	PUNCT
cana-6314	165	1	following	follow	VERB
cana-6314	165	2	preprocessing	preprocesse	VERB
cana-6314	165	3	,	,	PUNCT
cana-6314	165	4	we	we	PRON
cana-6314	165	5	applied	apply	VERB
cana-6314	165	6	the	the	DET
cana-6314	165	7	accuracy	accuracy	NOUN
cana-6314	165	8	performance	performance	NOUN
cana-6314	165	9	comparison	comparison	NOUN
cana-6314	165	10	for	for	ADP
cana-6314	165	11	dataset-2	dataset-2	PROPN
cana-6314	165	12	is	be	AUX
cana-6314	165	13	shown	show	VERB
cana-6314	165	14	in	in	ADP
cana-6314	165	15	fig	fig	NOUN
cana-6314	165	16	.	.	PUNCT
cana-6314	166	1	3	3	X
cana-6314	166	2	.	.	X
cana-6314	166	3	all	all	DET
cana-6314	166	4	other	other	ADJ
cana-6314	166	5	techniques	technique	NOUN
cana-6314	166	6	showed	show	VERB
cana-6314	166	7	superior	superior	ADJ
cana-6314	166	8	accuracy	accuracy	NOUN
cana-6314	166	9	,	,	PUNCT
cana-6314	166	10	with	with	ADP
cana-6314	166	11	the	the	DET
cana-6314	166	12	exception	exception	NOUN
cana-6314	166	13	of	of	ADP
cana-6314	166	14	logistic	logistic	ADJ
cana-6314	166	15	regression	regression	NOUN
cana-6314	166	16	(	(	PUNCT
cana-6314	166	17	lr	lr	NOUN
cana-6314	166	18	)	)	PUNCT
cana-6314	166	19	.	.	PUNCT
cana-6314	167	1	table	table	NOUN
cana-6314	167	2	7	7	NUM
cana-6314	167	3	:	:	PUNCT
cana-6314	167	4	comparison	comparison	NOUN
cana-6314	167	5	of	of	ADP
cana-6314	167	6	accuracy	accuracy	NOUN
cana-6314	167	7	performance	performance	NOUN
cana-6314	167	8	with	with	ADP
cana-6314	167	9	other	other	ADJ
cana-6314	167	10	works	work	NOUN
cana-6314	167	11	method	method	NOUN
cana-6314	167	12	name	name	NOUN
cana-6314	167	13	accuracy	accuracy	NOUN
cana-6314	167	14	in	in	ADP
cana-6314	167	15	%	%	NOUN
cana-6314	167	16	for	for	ADP
cana-6314	167	17	dataset-2	dataset-2	NOUN
cana-6314	167	18	accuracy	accuracy	NOUN
cana-6314	167	19	in	in	ADP
cana-6314	167	20	%	%	NOUN
cana-6314	167	21	for	for	ADP
cana-6314	167	22	dataset-1	dataset-1	PROPN
cana-6314	167	23	nb	nb	PROPN
cana-6314	167	24	81.60	81.60	NUM
cana-6314	167	25	87.17	87.17	NUM
cana-6314	167	26	dt	dt	NOUN
cana-6314	167	27	85.00	85.00	NUM
cana-6314	167	28	97.81	97.81	NUM
cana-6314	168	1	rf	rf	NUM
cana-6314	168	2	95.10	95.10	NUM
cana-6314	168	3	97.81	97.81	NUM
cana-6314	168	4	svm	svm	VERB
cana-6314	168	5	87.50	87.50	NUM
cana-6314	168	6	92.49	92.49	NUM
cana-6314	168	7	lr	lr	PROPN
cana-6314	168	8	86.70	86.70	NUM
cana-6314	168	9	85.04	85.04	NUM
cana-6314	168	10	gb	gb	PROPN
cana-6314	168	11	–	–	PUNCT
cana-6314	168	12	92.00	92.00	NUM
cana-6314	168	13	knn	knn	NOUN
cana-6314	168	14	78.30	78.30	NUM
cana-6314	168	15	91.43	91.43	NUM
cana-6314	168	16	communications	communication	NOUN
cana-6314	168	17	on	on	ADP
cana-6314	168	18	applied	apply	VERB
cana-6314	168	19	nonlinear	nonlinear	ADJ
cana-6314	168	20	analysis	analysis	NOUN
cana-6314	168	21	issn	issn	NOUN
cana-6314	168	22	:	:	PUNCT
cana-6314	168	23	1074	1074	NUM
cana-6314	168	24	-	-	PUNCT
cana-6314	168	25	133x	133x	NUM
cana-6314	168	26	vol	vol	NOUN
cana-6314	168	27	32	32	NUM
cana-6314	169	1	no	no	NOUN
cana-6314	169	2	.	.	PUNCT
cana-6314	170	1	1s	1s	NUM
cana-6314	170	2	(	(	PUNCT
cana-6314	170	3	2025	2025	NUM
cana-6314	170	4	)	)	PUNCT
cana-6314	170	5	769	769	NUM
cana-6314	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	170	7	the	the	DET
cana-6314	170	8	pima	pima	PROPN
cana-6314	170	9	indian	indian	PROPN
cana-6314	170	10	diabetes	diabetes	NOUN
cana-6314	170	11	dataset	dataset	NOUN
cana-6314	170	12	contains	contain	VERB
cana-6314	170	13	many	many	ADJ
cana-6314	170	14	features	feature	NOUN
cana-6314	170	15	and	and	CCONJ
cana-6314	170	16	a	a	DET
cana-6314	170	17	large	large	ADJ
cana-6314	170	18	number	number	NOUN
cana-6314	170	19	of	of	ADP
cana-6314	170	20	records	record	NOUN
cana-6314	170	21	suitable	suitable	ADJ
cana-6314	170	22	for	for	ADP
cana-6314	170	23	diabetes	diabetes	NOUN
cana-6314	170	24	detection	detection	NOUN
cana-6314	170	25	.	.	PUNCT
cana-6314	171	1	the	the	DET
cana-6314	171	2	inter	inter	ADJ
cana-6314	171	3	-	-	ADJ
cana-6314	171	4	quartile	quartile	ADJ
cana-6314	171	5	range	range	NOUN
cana-6314	171	6	(	(	PUNCT
cana-6314	171	7	iqr	iqr	NOUN
cana-6314	171	8	)	)	PUNCT
cana-6314	171	9	approach	approach	NOUN
cana-6314	171	10	was	be	AUX
cana-6314	171	11	used	use	VERB
cana-6314	171	12	to	to	PART
cana-6314	171	13	remove	remove	VERB
cana-6314	171	14	outliers	outlier	NOUN
cana-6314	171	15	,	,	PUNCT
cana-6314	171	16	and	and	CCONJ
cana-6314	171	17	the	the	DET
cana-6314	171	18	mean	mean	NOUN
cana-6314	171	19	of	of	ADP
cana-6314	171	20	each	each	DET
cana-6314	171	21	associated	associate	VERB
cana-6314	171	22	characteristic	characteristic	NOUN
cana-6314	171	23	was	be	AUX
cana-6314	171	24	used	use	VERB
cana-6314	171	25	to	to	PART
cana-6314	171	26	fill	fill	VERB
cana-6314	171	27	in	in	ADP
cana-6314	171	28	the	the	DET
cana-6314	171	29	missing	miss	VERB
cana-6314	171	30	values	value	NOUN
cana-6314	171	31	.	.	PUNCT
cana-6314	172	1	pre	pre	ADJ
cana-6314	172	2	-	-	ADJ
cana-6314	172	3	processing	processing	NOUN
cana-6314	172	4	was	be	AUX
cana-6314	172	5	followed	follow	VERB
cana-6314	172	6	by	by	ADP
cana-6314	172	7	the	the	DET
cana-6314	172	8	application	application	NOUN
cana-6314	172	9	of	of	ADP
cana-6314	172	10	machine	machine	NOUN
cana-6314	172	11	learning	learning	NOUN
cana-6314	172	12	models	model	NOUN
cana-6314	172	13	,	,	PUNCT
cana-6314	172	14	which	which	PRON
cana-6314	172	15	improved	improve	VERB
cana-6314	172	16	accuracy	accuracy	NOUN
cana-6314	172	17	over	over	ADP
cana-6314	172	18	previous	previous	ADJ
cana-6314	172	19	studies	study	NOUN
cana-6314	172	20	.	.	PUNCT
cana-6314	173	1	table	table	NOUN
cana-6314	173	2	8	8	NUM
cana-6314	173	3	.	.	PUNCT
cana-6314	174	1	classifier	classifier	NOUN
cana-6314	174	2	performance	performance	NOUN
cana-6314	174	3	metrics	metric	NOUN
cana-6314	174	4	(	(	PUNCT
cana-6314	174	5	dataset	dataset	VERB
cana-6314	174	6	1	1	NUM
cana-6314	174	7	)	)	PUNCT
cana-6314	174	8	table	table	NOUN
cana-6314	174	9	8	8	NUM
cana-6314	174	10	:	:	PUNCT
cana-6314	174	11	sensitivity	sensitivity	NOUN
cana-6314	174	12	,	,	PUNCT
cana-6314	174	13	specificity	specificity	NOUN
cana-6314	174	14	,	,	PUNCT
cana-6314	174	15	and	and	CCONJ
cana-6314	174	16	accuracy	accuracy	NOUN
cana-6314	174	17	of	of	ADP
cana-6314	174	18	classifiers	classifier	NOUN
cana-6314	174	19	classifier	classifier	NOUN
cana-6314	174	20	sensitivity	sensitivity	NOUN
cana-6314	174	21	specificity	specificity	NOUN
cana-6314	174	22	accuracy	accuracy	NOUN
cana-6314	174	23	svm	svm	VERB
cana-6314	174	24	1.2586	1.2586	NUM
cana-6314	174	25	1.6855	1.6855	NUM
cana-6314	174	26	1.734	1.734	NUM
cana-6314	174	27	naïve	naïve	ADJ
cana-6314	174	28	bayes	baye	NOUN
cana-6314	174	29	1.7641	1.7641	NUM
cana-6314	174	30	1.7517	1.7517	NUM
cana-6314	174	31	1.795	1.795	NUM
cana-6314	174	32	decision	decision	NOUN
cana-6314	174	33	tree	tree	NOUN
cana-6314	174	34	1.9167	1.9167	NUM
cana-6314	174	35	1.8375	1.8375	NUM
cana-6314	174	36	1.893	1.893	NUM
cana-6314	174	37	knn	knn	NOUN
cana-6314	174	38	1.7032	1.7032	NUM
cana-6314	174	39	1.6121	1.6121	NUM
cana-6314	174	40	1.703	1.703	NUM
cana-6314	174	41	table	table	NOUN
cana-6314	174	42	9	9	NUM
cana-6314	174	43	.	.	PUNCT
cana-6314	174	44	performance	performance	NOUN
cana-6314	174	45	metrics	metric	NOUN
cana-6314	174	46	for	for	ADP
cana-6314	174	47	various	various	ADJ
cana-6314	174	48	classifiers	classifier	NOUN
cana-6314	174	49	on	on	ADP
cana-6314	174	50	vivo	vivo	ADJ
cana-6314	174	51	dataset	dataset	NOUN
cana-6314	174	52	2	2	NUM
cana-6314	174	53	with	with	ADP
cana-6314	174	54	82	82	NUM
cana-6314	174	55	patients	patient	NOUN
cana-6314	174	56	are	be	AUX
cana-6314	174	57	displayed	display	VERB
cana-6314	174	58	below	below	ADP
cana-6314	174	59	.	.	PUNCT
cana-6314	175	1	table	table	NOUN
cana-6314	175	2	9	9	NUM
cana-6314	175	3	.	.	PUNCT
cana-6314	175	4	classifier	classifier	NOUN
cana-6314	175	5	performance	performance	NOUN
cana-6314	175	6	metrics	metric	NOUN
cana-6314	175	7	(	(	PUNCT
cana-6314	175	8	dataset	dataset	VERB
cana-6314	175	9	2	2	NUM
cana-6314	175	10	)	)	PUNCT
cana-6314	175	11	classifier	classifier	NOUN
cana-6314	175	12	sensitivity	sensitivity	NOUN
cana-6314	175	13	specificity	specificity	NOUN
cana-6314	175	14	accuracy	accuracy	NOUN
cana-6314	175	15	svm	svm	VERB
cana-6314	175	16	2.6	2.6	NUM
cana-6314	175	17	2.865	2.865	NUM
cana-6314	175	18	2.75	2.75	NUM
cana-6314	175	19	naïve	naïve	ADJ
cana-6314	175	20	bayes	baye	NOUN
cana-6314	175	21	2.71	2.71	NUM
cana-6314	175	22	2.761	2.761	NUM
cana-6314	175	23	2.7225	2.7225	NUM
cana-6314	175	24	decision	decision	NOUN
cana-6314	175	25	tree	tree	NOUN
cana-6314	175	26	2.34	2.34	NUM
cana-6314	175	27	2.935	2.935	NUM
cana-6314	175	28	2.9135	2.9135	NUM
cana-6314	175	29	knn	knn	VERB
cana-6314	175	30	2.1	2.1	NUM
cana-6314	175	31	2.75	2.75	NUM
cana-6314	175	32	2.7184	2.7184	NUM
cana-6314	175	33	5.3	5.3	NUM
cana-6314	175	34	.	.	PUNCT
cana-6314	176	1	classifiers	classifier	NOUN
cana-6314	176	2	performance	performance	VERB
cana-6314	176	3	four	four	NUM
cana-6314	176	4	distinct	distinct	ADJ
cana-6314	176	5	classifiers	classifier	NOUN
cana-6314	176	6	are	be	AUX
cana-6314	176	7	employed	employ	VERB
cana-6314	176	8	in	in	ADP
cana-6314	176	9	this	this	DET
cana-6314	176	10	study	study	NOUN
cana-6314	176	11	to	to	PART
cana-6314	176	12	predict	predict	VERB
cana-6314	176	13	diabetes	diabete	NOUN
cana-6314	176	14	.	.	PUNCT
cana-6314	177	1	they	they	PRON
cana-6314	177	2	are	be	AUX
cana-6314	177	3	listed	list	VERB
cana-6314	177	4	in	in	ADP
cana-6314	177	5	tables	table	NOUN
cana-6314	177	6	3	3	NUM
cana-6314	177	7	,	,	PUNCT
cana-6314	177	8	4	4	NUM
cana-6314	177	9	,	,	PUNCT
cana-6314	177	10	5	5	NUM
cana-6314	177	11	,	,	PUNCT
cana-6314	177	12	and	and	CCONJ
cana-6314	177	13	6	6	NUM
cana-6314	177	14	and	and	CCONJ
cana-6314	177	15	contrasted	contrast	VERB
cana-6314	177	16	with	with	ADP
cana-6314	177	17	the	the	DET
cana-6314	177	18	findings	finding	NOUN
cana-6314	177	19	of	of	ADP
cana-6314	177	20	other	other	ADJ
cana-6314	177	21	researchers	researcher	NOUN
cana-6314	177	22	.	.	PUNCT
cana-6314	178	1	our	our	PRON
cana-6314	178	2	approach	approach	NOUN
cana-6314	178	3	performs	perform	VERB
cana-6314	178	4	better	well	ADV
cana-6314	178	5	than	than	ADP
cana-6314	178	6	svm	svm	VERB
cana-6314	178	7	and	and	CCONJ
cana-6314	178	8	knn	knn	VERB
cana-6314	178	9	for	for	ADP
cana-6314	178	10	the	the	DET
cana-6314	178	11	naïve	naïve	ADJ
cana-6314	178	12	bayes	bayes	NOUN
cana-6314	178	13	and	and	CCONJ
cana-6314	178	14	decision	decision	NOUN
cana-6314	178	15	tree	tree	NOUN
cana-6314	178	16	classifiers	classifier	NOUN
cana-6314	178	17	.	.	PUNCT
cana-6314	179	1	communications	communication	NOUN
cana-6314	179	2	on	on	ADP
cana-6314	179	3	applied	apply	VERB
cana-6314	179	4	nonlinear	nonlinear	ADJ
cana-6314	179	5	analysis	analysis	NOUN
cana-6314	179	6	issn	issn	NOUN
cana-6314	179	7	:	:	PUNCT
cana-6314	179	8	1074	1074	NUM
cana-6314	179	9	-	-	PUNCT
cana-6314	179	10	133x	133x	NUM
cana-6314	179	11	vol	vol	NOUN
cana-6314	179	12	32	32	NUM
cana-6314	179	13	no	no	NOUN
cana-6314	179	14	.	.	PUNCT
cana-6314	180	1	1s	1s	NUM
cana-6314	180	2	(	(	PUNCT
cana-6314	180	3	2025	2025	NUM
cana-6314	180	4	)	)	PUNCT
cana-6314	180	5	770	770	NUM
cana-6314	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	180	7	figure	figure	NOUN
cana-6314	180	8	3	3	NUM
cana-6314	180	9	:	:	PUNCT
cana-6314	180	10	svm	svm	PROPN
cana-6314	180	11	classifier	classifier	NOUN
cana-6314	180	12	performance	performance	NOUN
cana-6314	180	13	figure	figure	NOUN
cana-6314	180	14	4	4	NUM
cana-6314	180	15	:	:	PUNCT
cana-6314	180	16	naïve	naïve	ADJ
cana-6314	180	17	bayes	bayes	NOUN
cana-6314	180	18	classifier	classifier	NOUN
cana-6314	180	19	performance	performance	NOUN
cana-6314	180	20	figure	figure	NOUN
cana-6314	180	21	5	5	NUM
cana-6314	180	22	:	:	PUNCT
cana-6314	180	23	knn	knn	PROPN
cana-6314	180	24	classifier	classifier	PROPN
cana-6314	180	25	performance	performance	NOUN
cana-6314	180	26	communications	communication	NOUN
cana-6314	180	27	on	on	ADP
cana-6314	180	28	applied	apply	VERB
cana-6314	180	29	nonlinear	nonlinear	ADJ
cana-6314	180	30	analysis	analysis	NOUN
cana-6314	180	31	issn	issn	NOUN
cana-6314	180	32	:	:	PUNCT
cana-6314	180	33	1074	1074	NUM
cana-6314	180	34	-	-	PUNCT
cana-6314	180	35	133x	133x	NUM
cana-6314	180	36	vol	vol	NOUN
cana-6314	180	37	32	32	NUM
cana-6314	180	38	no	no	NOUN
cana-6314	180	39	.	.	PUNCT
cana-6314	181	1	1s	1s	NUM
cana-6314	181	2	(	(	PUNCT
cana-6314	181	3	2025	2025	NUM
cana-6314	181	4	)	)	PUNCT
cana-6314	181	5	771	771	NUM
cana-6314	181	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	181	7	figure	figure	NOUN
cana-6314	181	8	6	6	NUM
cana-6314	181	9	:	:	PUNCT
cana-6314	181	10	decision	decision	NOUN
cana-6314	181	11	tree	tree	NOUN
cana-6314	181	12	classifier	classifier	NOUN
cana-6314	181	13	performance	performance	NOUN
cana-6314	181	14	figure	figure	NOUN
cana-6314	181	15	7	7	NUM
cana-6314	181	16	:	:	PUNCT
cana-6314	181	17	k	k	ADJ
cana-6314	181	18	-	-	PUNCT
cana-6314	181	19	means	mean	VERB
cana-6314	181	20	clustering	cluster	VERB
cana-6314	181	21	patient	patient	ADJ
cana-6314	181	22	feature	feature	NOUN
cana-6314	181	23	distributions	distribution	NOUN
cana-6314	181	24	by	by	ADP
cana-6314	181	25	cluster	cluster	NOUN
cana-6314	181	26	this	this	DET
cana-6314	181	27	study	study	NOUN
cana-6314	181	28	examined	examine	VERB
cana-6314	181	29	several	several	ADJ
cana-6314	181	30	diabetes	diabetes	NOUN
cana-6314	181	31	-	-	PUNCT
cana-6314	181	32	related	relate	VERB
cana-6314	181	33	factors	factor	NOUN
cana-6314	181	34	using	use	VERB
cana-6314	181	35	the	the	PRON
cana-6314	181	36	with	with	ADP
cana-6314	181	37	a	a	DET
cana-6314	181	38	focus	focus	NOUN
cana-6314	181	39	on	on	ADP
cana-6314	181	40	exploratory	exploratory	ADJ
cana-6314	181	41	data	datum	NOUN
cana-6314	181	42	analysis	analysis	NOUN
cana-6314	181	43	and	and	CCONJ
cana-6314	181	44	baseline	baseline	NOUN
cana-6314	181	45	machine	machine	NOUN
cana-6314	181	46	learning	learn	VERB
cana-6314	181	47	model	model	NOUN
cana-6314	181	48	development	development	NOUN
cana-6314	181	49	.	.	PUNCT
cana-6314	182	1	it	it	PRON
cana-6314	182	2	is	be	AUX
cana-6314	182	3	crucial	crucial	ADJ
cana-6314	182	4	to	to	PART
cana-6314	182	5	investigate	investigate	VERB
cana-6314	182	6	alternative	alternative	ADJ
cana-6314	182	7	methods	method	NOUN
cana-6314	182	8	of	of	ADP
cana-6314	182	9	treating	treat	VERB
cana-6314	182	10	those	those	PRON
cana-6314	182	11	who	who	PRON
cana-6314	182	12	have	have	AUX
cana-6314	182	13	been	be	AUX
cana-6314	182	14	diagnosed	diagnose	VERB
cana-6314	182	15	with	with	ADP
cana-6314	182	16	diabetes	diabetes	NOUN
cana-6314	182	17	because	because	SCONJ
cana-6314	182	18	there	there	PRON
cana-6314	182	19	is	be	VERB
cana-6314	182	20	currently	currently	ADV
cana-6314	182	21	no	no	DET
cana-6314	182	22	proven	prove	VERB
cana-6314	182	23	medication	medication	NOUN
cana-6314	182	24	or	or	CCONJ
cana-6314	182	25	vaccination	vaccination	NOUN
cana-6314	182	26	for	for	ADP
cana-6314	182	27	the	the	DET
cana-6314	182	28	disease	disease	NOUN
cana-6314	182	29	.	.	PUNCT
cana-6314	183	1	these	these	DET
cana-6314	183	2	methods	method	NOUN
cana-6314	183	3	can	can	AUX
cana-6314	183	4	help	help	VERB
cana-6314	183	5	lower	lower	VERB
cana-6314	183	6	the	the	DET
cana-6314	183	7	death	death	NOUN
cana-6314	183	8	rate	rate	NOUN
cana-6314	183	9	and	and	CCONJ
cana-6314	183	10	reduce	reduce	VERB
cana-6314	183	11	the	the	DET
cana-6314	183	12	likelihood	likelihood	NOUN
cana-6314	183	13	of	of	ADP
cana-6314	183	14	getting	get	VERB
cana-6314	183	15	diabetes	diabetes	NOUN
cana-6314	183	16	by	by	ADP
cana-6314	183	17	supporting	support	VERB
cana-6314	183	18	preventive	preventive	ADJ
cana-6314	183	19	measures	measure	NOUN
cana-6314	183	20	.	.	PUNCT
cana-6314	184	1	the	the	DET
cana-6314	184	2	findings	finding	NOUN
cana-6314	184	3	showed	show	VERB
cana-6314	184	4	that	that	SCONJ
cana-6314	184	5	diabetes	diabetes	NOUN
cana-6314	184	6	was	be	AUX
cana-6314	184	7	more	more	ADV
cana-6314	184	8	prevalent	prevalent	ADJ
cana-6314	184	9	in	in	ADP
cana-6314	184	10	older	old	ADJ
cana-6314	184	11	age	age	NOUN
cana-6314	184	12	groups	group	NOUN
cana-6314	184	13	,	,	PUNCT
cana-6314	184	14	which	which	PRON
cana-6314	184	15	may	may	AUX
cana-6314	184	16	be	be	AUX
cana-6314	184	17	related	relate	VERB
cana-6314	184	18	to	to	ADP
cana-6314	184	19	immune	immune	ADJ
cana-6314	184	20	system	system	NOUN
cana-6314	184	21	deterioration	deterioration	NOUN
cana-6314	184	22	with	with	ADP
cana-6314	184	23	age	age	NOUN
cana-6314	184	24	.	.	PUNCT
cana-6314	185	1	suggesting	suggest	VERB
cana-6314	185	2	that	that	SCONJ
cana-6314	185	3	gender	gender	NOUN
cana-6314	185	4	bias	bias	NOUN
cana-6314	185	5	is	be	AUX
cana-6314	185	6	not	not	PART
cana-6314	185	7	a	a	DET
cana-6314	185	8	factor	factor	NOUN
cana-6314	185	9	in	in	ADP
cana-6314	185	10	the	the	DET
cana-6314	185	11	disease	disease	NOUN
cana-6314	185	12	.	.	PUNCT
cana-6314	186	1	6	6	X
cana-6314	186	2	.	.	X
cana-6314	186	3	comparative	comparative	ADJ
cana-6314	186	4	analysis	analysis	NOUN
cana-6314	186	5	of	of	ADP
cana-6314	186	6	results	result	NOUN
cana-6314	186	7	in	in	ADP
cana-6314	186	8	forecasting	forecast	VERB
cana-6314	186	9	health	health	NOUN
cana-6314	186	10	outcomes	outcome	NOUN
cana-6314	186	11	for	for	ADP
cana-6314	186	12	diabetes	diabetes	NOUN
cana-6314	186	13	patients	patient	NOUN
cana-6314	186	14	,	,	PUNCT
cana-6314	186	15	the	the	DET
cana-6314	186	16	analysis	analysis	NOUN
cana-6314	186	17	offered	offer	VERB
cana-6314	186	18	assesses	assesse	NOUN
cana-6314	186	19	a	a	DET
cana-6314	186	20	number	number	NOUN
cana-6314	186	21	of	of	ADP
cana-6314	186	22	methods	method	NOUN
cana-6314	186	23	,	,	PUNCT
cana-6314	186	24	hybrid	hybrid	NOUN
cana-6314	186	25	models	model	NOUN
cana-6314	186	26	,	,	PUNCT
cana-6314	186	27	and	and	CCONJ
cana-6314	186	28	ensemble	ensemble	ADJ
cana-6314	186	29	methodologies	methodology	NOUN
cana-6314	186	30	.	.	PUNCT
cana-6314	187	1	the	the	DET
cana-6314	187	2	results	result	NOUN
cana-6314	187	3	produced	produce	VERB
cana-6314	187	4	by	by	ADP
cana-6314	187	5	these	these	DET
cana-6314	187	6	techniques	technique	NOUN
cana-6314	187	7	communications	communication	NOUN
cana-6314	187	8	on	on	ADP
cana-6314	187	9	applied	apply	VERB
cana-6314	187	10	nonlinear	nonlinear	ADJ
cana-6314	187	11	analysis	analysis	NOUN
cana-6314	187	12	issn	issn	NOUN
cana-6314	187	13	:	:	PUNCT
cana-6314	187	14	1074	1074	NUM
cana-6314	187	15	-	-	PUNCT
cana-6314	187	16	133x	133x	NUM
cana-6314	187	17	vol	vol	NOUN
cana-6314	187	18	32	32	NUM
cana-6314	187	19	no	no	NOUN
cana-6314	187	20	.	.	PUNCT
cana-6314	188	1	1s	1s	NUM
cana-6314	188	2	(	(	PUNCT
cana-6314	188	3	2025	2025	NUM
cana-6314	188	4	)	)	PUNCT
cana-6314	188	5	772	772	NUM
cana-6314	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	188	7	were	be	AUX
cana-6314	188	8	contrasted	contrast	VERB
cana-6314	188	9	with	with	ADP
cana-6314	188	10	those	those	PRON
cana-6314	188	11	of	of	ADP
cana-6314	188	12	other	other	ADJ
cana-6314	188	13	prediction	prediction	NOUN
cana-6314	188	14	models	model	NOUN
cana-6314	188	15	that	that	PRON
cana-6314	188	16	were	be	AUX
cana-6314	188	17	already	already	ADV
cana-6314	188	18	in	in	ADP
cana-6314	188	19	use	use	NOUN
cana-6314	188	20	using	use	VERB
cana-6314	188	21	a	a	DET
cana-6314	188	22	number	number	NOUN
cana-6314	188	23	of	of	ADP
cana-6314	188	24	datasets	dataset	NOUN
cana-6314	188	25	(	(	PUNCT
cana-6314	188	26	datasets	dataset	NOUN
cana-6314	188	27	1–5	1–5	NUM
cana-6314	188	28	)	)	PUNCT
cana-6314	188	29	.	.	PUNCT
cana-6314	189	1	high	high	ADJ
cana-6314	189	2	f1	f1	NOUN
cana-6314	189	3	-	-	PUNCT
cana-6314	189	4	scores	score	NOUN
cana-6314	189	5	,	,	PUNCT
cana-6314	189	6	precision	precision	NOUN
cana-6314	189	7	,	,	PUNCT
cana-6314	189	8	and	and	CCONJ
cana-6314	189	9	quick	quick	ADJ
cana-6314	189	10	computation	computation	NOUN
cana-6314	189	11	times	time	NOUN
cana-6314	189	12	were	be	AUX
cana-6314	189	13	all	all	PRON
cana-6314	189	14	achieved	achieve	VERB
cana-6314	189	15	by	by	ADP
cana-6314	189	16	the	the	DET
cana-6314	189	17	random	random	ADJ
cana-6314	189	18	forest	forest	NOUN
cana-6314	189	19	(	(	PUNCT
cana-6314	189	20	rf	rf	NOUN
cana-6314	189	21	)	)	PUNCT
cana-6314	189	22	model	model	NOUN
cana-6314	189	23	,	,	PUNCT
cana-6314	189	24	which	which	PRON
cana-6314	189	25	showed	show	VERB
cana-6314	189	26	remarkable	remarkable	ADJ
cana-6314	189	27	performance	performance	NOUN
cana-6314	189	28	.	.	PUNCT
cana-6314	190	1	however	however	ADV
cana-6314	190	2	,	,	PUNCT
cana-6314	190	3	within	within	ADP
cana-6314	190	4	a	a	DET
cana-6314	190	5	realistic	realistic	ADJ
cana-6314	190	6	calculation	calculation	NOUN
cana-6314	190	7	timescale	timescale	NOUN
cana-6314	190	8	,	,	PUNCT
cana-6314	190	9	other	other	ADJ
cana-6314	190	10	machine	machine	NOUN
cana-6314	190	11	learning	learning	NOUN
cana-6314	190	12	models	model	NOUN
cana-6314	190	13	also	also	ADV
cana-6314	190	14	produced	produce	VERB
cana-6314	190	15	impressive	impressive	ADJ
cana-6314	190	16	results	result	NOUN
cana-6314	190	17	in	in	ADP
cana-6314	190	18	terms	term	NOUN
cana-6314	190	19	of	of	ADP
cana-6314	190	20	accuracy	accuracy	NOUN
cana-6314	190	21	,	,	PUNCT
cana-6314	190	22	speed	speed	NOUN
cana-6314	190	23	,	,	PUNCT
cana-6314	190	24	f1	f1	NOUN
cana-6314	190	25	-	-	PUNCT
cana-6314	190	26	scores	score	NOUN
cana-6314	190	27	,	,	PUNCT
cana-6314	190	28	and	and	CCONJ
cana-6314	190	29	auc	auc	NOUN
cana-6314	190	30	-	-	PUNCT
cana-6314	190	31	roc	roc	NOUN
cana-6314	190	32	.	.	PUNCT
cana-6314	191	1	furthermore	furthermore	ADV
cana-6314	191	2	,	,	PUNCT
cana-6314	191	3	using	use	VERB
cana-6314	191	4	the	the	DET
cana-6314	191	5	same	same	ADJ
cana-6314	191	6	dataset	dataset	NOUN
cana-6314	191	7	samples	sample	NOUN
cana-6314	191	8	and	and	CCONJ
cana-6314	191	9	attributes	attribute	NOUN
cana-6314	191	10	,	,	PUNCT
cana-6314	191	11	a	a	DET
cana-6314	191	12	few	few	ADJ
cana-6314	191	13	dl	dl	PROPN
cana-6314	191	14	models	model	NOUN
cana-6314	191	15	and	and	CCONJ
cana-6314	191	16	ensemble	ensemble	ADJ
cana-6314	191	17	techniques	technique	NOUN
cana-6314	191	18	demonstrated	demonstrate	VERB
cana-6314	191	19	encouraging	encourage	VERB
cana-6314	191	20	outcomes	outcome	NOUN
cana-6314	191	21	.	.	PUNCT
cana-6314	192	1	table	table	NOUN
cana-6314	192	2	10	10	NUM
cana-6314	192	3	provides	provide	VERB
cana-6314	192	4	a	a	DET
cana-6314	192	5	thorough	thorough	ADJ
cana-6314	192	6	comparison	comparison	NOUN
cana-6314	192	7	of	of	ADP
cana-6314	192	8	the	the	DET
cana-6314	192	9	models	model	NOUN
cana-6314	192	10	'	'	PART
cana-6314	192	11	performance	performance	NOUN
cana-6314	192	12	in	in	ADP
cana-6314	192	13	this	this	DET
cana-6314	192	14	study	study	NOUN
cana-6314	192	15	with	with	ADP
cana-6314	192	16	that	that	PRON
cana-6314	192	17	of	of	ADP
cana-6314	192	18	previous	previous	ADJ
cana-6314	192	19	predictive	predictive	ADJ
cana-6314	192	20	model	model	NOUN
cana-6314	192	21	studies	study	NOUN
cana-6314	192	22	.	.	PUNCT
cana-6314	193	1	table	table	NOUN
cana-6314	193	2	10using	10use	VERB
cana-6314	193	3	the	the	DET
cana-6314	193	4	f1	f1	NOUN
cana-6314	193	5	-	-	PUNCT
cana-6314	193	6	score	score	NOUN
cana-6314	193	7	,	,	PUNCT
cana-6314	193	8	a	a	DET
cana-6314	193	9	comparison	comparison	NOUN
cana-6314	193	10	between	between	ADP
cana-6314	193	11	the	the	DET
cana-6314	193	12	models	model	NOUN
cana-6314	193	13	in	in	ADP
cana-6314	193	14	use	use	NOUN
cana-6314	193	15	and	and	CCONJ
cana-6314	193	16	those	those	PRON
cana-6314	193	17	that	that	PRON
cana-6314	193	18	are	be	AUX
cana-6314	193	19	currently	currently	ADV
cana-6314	193	20	in	in	ADP
cana-6314	193	21	use	use	NOUN
cana-6314	193	22	for	for	ADP
cana-6314	193	23	diabetes	diabetes	NOUN
cana-6314	193	24	prediction	prediction	NOUN
cana-6314	193	25	.	.	PUNCT
cana-6314	194	1	(	(	PUNCT
cana-6314	194	2	all	all	DET
cana-6314	194	3	numerical	numerical	ADJ
cana-6314	194	4	values	value	NOUN
cana-6314	194	5	have	have	AUX
cana-6314	194	6	been	be	AUX
cana-6314	194	7	modified	modify	VERB
cana-6314	194	8	to	to	ADP
cana-6314	194	9	+1	+1	PROPN
cana-6314	194	10	.	.	PUNCT
cana-6314	194	11	)	)	PUNCT
cana-6314	195	1	datasets	dataset	NOUN
cana-6314	195	2	authors	author	NOUN
cana-6314	195	3	outliers	outlier	NOUN
cana-6314	195	4	missing	miss	VERB
cana-6314	195	5	values	value	NOUN
cana-6314	195	6	model	model	PROPN
cana-6314	195	7	precision	precision	PROPN
cana-6314	195	8	acc	acc	PROPN
cana-6314	195	9	.	.	PROPN
cana-6314	195	10	recall	recall	PROPN
cana-6314	195	11	f1score	f1score	NOUN
cana-6314	195	12	[	[	X
cana-6314	195	13	44	44	NUM
cana-6314	195	14	]	]	SYM
cana-6314	195	15	iqr	iqr	PROPN
cana-6314	195	16	attribute	attribute	NOUN
cana-6314	195	17	mean	mean	VERB
cana-6314	195	18	ab	ab	PROPN
cana-6314	196	1	+	+	PROPN
cana-6314	196	2	xb	xb	PROPN
cana-6314	196	3	—	—	PUNCT
cana-6314	196	4	—	—	PUNCT
cana-6314	196	5	1.7900	1.7900	NUM
cana-6314	196	6	—	—	PUNCT
cana-6314	196	7	[	[	X
cana-6314	196	8	46	46	NUM
cana-6314	196	9	]	]	PUNCT
cana-6314	196	10	—	—	PUNCT
cana-6314	196	11	—	—	PUNCT
cana-6314	196	12	gbm	gbm	NOUN
cana-6314	196	13	—	—	PUNCT
cana-6314	196	14	—	—	PUNCT
cana-6314	196	15	1.8700	1.8700	NUM
cana-6314	196	16	—	—	PUNCT
cana-6314	197	1	[	[	X
cana-6314	197	2	80	80	NUM
cana-6314	197	3	]	]	PUNCT
cana-6314	197	4	—	—	PUNCT
cana-6314	197	5	—	—	PUNCT
cana-6314	197	6	da	da	X
cana-6314	197	7	—	—	PUNCT
cana-6314	197	8	1.7400	1.7400	NUM
cana-6314	197	9	1.7200	1.7200	NUM
cana-6314	197	10	—	—	PUNCT
cana-6314	198	1	[	[	X
cana-6314	198	2	81	81	NUM
cana-6314	198	3	]	]	PUNCT
cana-6314	198	4	—	—	PUNCT
cana-6314	198	5	—	—	PUNCT
cana-6314	198	6	ann	ann	PROPN
cana-6314	198	7	—	—	PUNCT
cana-6314	198	8	1.7600	1.7600	NUM
cana-6314	198	9	1.5300	1.5300	NUM
cana-6314	198	10	—	—	PUNCT
cana-6314	199	1	[	[	X
cana-6314	199	2	83	83	NUM
cana-6314	199	3	]	]	PUNCT
cana-6314	199	4	—	—	PUNCT
cana-6314	199	5	nb	nb	INTJ
cana-6314	199	6	rf	rf	VERB
cana-6314	199	7	1.8100	1.8100	NUM
cana-6314	199	8	1.8700	1.8700	NUM
cana-6314	199	9	1.8500	1.8500	NUM
cana-6314	199	10	1.8300	1.8300	NUM
cana-6314	199	11	[	[	X
cana-6314	199	12	84	84	NUM
cana-6314	199	13	]	]	PUNCT
cana-6314	199	14	—	—	PUNCT
cana-6314	199	15	—	—	PUNCT
cana-6314	199	16	k	k	X
cana-6314	199	17	-	-	PUNCT
cana-6314	199	18	nn	nn	PROPN
cana-6314	199	19	1.8700	1.8700	NUM
cana-6314	199	20	1.8800	1.8800	NUM
cana-6314	199	21	1.9000	1.9000	NUM
cana-6314	199	22	1.8800	1.8800	NUM
cana-6314	199	23	[	[	X
cana-6314	199	24	56	56	NUM
cana-6314	199	25	]	]	PUNCT
cana-6314	199	26	gm	gm	PROPN
cana-6314	199	27	median	median	PROPN
cana-6314	199	28	rf	rf	PROPN
cana-6314	199	29	—	—	PUNCT
cana-6314	199	30	1.9300	1.9300	NUM
cana-6314	199	31	1.7970	1.7970	NUM
cana-6314	199	32	—	—	PUNCT
cana-6314	200	1	[	[	X
cana-6314	200	2	85	85	NUM
cana-6314	200	3	]	]	PUNCT
cana-6314	200	4	—	—	PUNCT
cana-6314	200	5	—	—	PUNCT
cana-6314	200	6	rf	rf	NOUN
cana-6314	200	7	1.9400	1.9400	NUM
cana-6314	200	8	1.9400	1.9400	NUM
cana-6314	200	9	1.8800	1.8800	NUM
cana-6314	200	10	1.9100	1.9100	NUM
cana-6314	201	1	[	[	X
cana-6314	201	2	39	39	NUM
cana-6314	201	3	]	]	PUNCT
cana-6314	201	4	iqr	iqr	X
cana-6314	201	5	cwm	cwm	PROPN
cana-6314	201	6	dl	dl	PROPN
cana-6314	201	7	1.9000	1.9000	NUM
cana-6314	201	8	1.9500	1.9500	NUM
cana-6314	201	9	1.9500	1.9500	NUM
cana-6314	201	10	1.9300	1.9300	NUM
cana-6314	201	11	our	our	PRON
cana-6314	201	12	study	study	NOUN
cana-6314	201	13	iqr	iqr	PROPN
cana-6314	201	14	adasyn	adasyn	PROPN
cana-6314	201	15	adaboost	adaboost	VERB
cana-6314	201	16	1.6716	1.6716	NUM
cana-6314	201	17	1.7987	1.7987	NUM
cana-6314	201	18	1.8333	1.8333	NUM
cana-6314	201	19	1.7438	1.7438	NUM
cana-6314	201	20	7	7	NUM
cana-6314	201	21	.	.	PUNCT
cana-6314	201	22	conclusion	conclusion	NOUN
cana-6314	201	23	a	a	DET
cana-6314	201	24	number	number	NOUN
cana-6314	201	25	of	of	ADP
cana-6314	201	26	accuracy	accuracy	NOUN
cana-6314	201	27	metrics	metric	NOUN
cana-6314	201	28	were	be	AUX
cana-6314	201	29	used	use	VERB
cana-6314	201	30	to	to	PART
cana-6314	201	31	assess	assess	VERB
cana-6314	201	32	each	each	DET
cana-6314	201	33	algorithm	algorithm	NOUN
cana-6314	201	34	's	's	PART
cana-6314	201	35	performance	performance	NOUN
cana-6314	201	36	.	.	PUNCT
cana-6314	202	1	the	the	DET
cana-6314	202	2	decision	decision	NOUN
cana-6314	202	3	tree	tree	NOUN
cana-6314	202	4	algorithm	algorithm	NOUN
cana-6314	202	5	fared	fare	VERB
cana-6314	202	6	better	well	ADJ
cana-6314	202	7	than	than	ADP
cana-6314	202	8	the	the	DET
cana-6314	202	9	others	other	NOUN
cana-6314	202	10	with	with	ADP
cana-6314	202	11	an	an	DET
cana-6314	202	12	accuracy	accuracy	NOUN
cana-6314	202	13	of	of	ADP
cana-6314	202	14	89.97	89.97	NUM
cana-6314	202	15	%	%	NOUN
cana-6314	202	16	for	for	ADP
cana-6314	202	17	dataset	dataset	NOUN
cana-6314	202	18	1	1	NUM
cana-6314	202	19	when	when	SCONJ
cana-6314	202	20	the	the	DET
cana-6314	202	21	findings	finding	NOUN
cana-6314	202	22	were	be	AUX
cana-6314	202	23	compared	compare	VERB
cana-6314	202	24	with	with	ADP
cana-6314	202	25	real	real	ADJ
cana-6314	202	26	patient	patient	ADJ
cana-6314	202	27	data	datum	NOUN
cana-6314	202	28	collected	collect	VERB
cana-6314	202	29	using	use	VERB
cana-6314	202	30	the	the	DET
cana-6314	202	31	conventional	conventional	ADJ
cana-6314	202	32	invasive	invasive	ADJ
cana-6314	202	33	method	method	NOUN
cana-6314	202	34	.	.	PUNCT
cana-6314	203	1	94.27	94.27	NUM
cana-6314	203	2	%	%	NOUN
cana-6314	203	3	of	of	ADP
cana-6314	203	4	the	the	DET
cana-6314	203	5	data	data	NOUN
cana-6314	203	6	points	point	NOUN
cana-6314	203	7	in	in	ADP
cana-6314	203	8	dataset	dataset	NOUN
cana-6314	203	9	2	2	NUM
cana-6314	203	10	were	be	AUX
cana-6314	203	11	found	find	VERB
cana-6314	203	12	to	to	PART
cana-6314	203	13	be	be	AUX
cana-6314	203	14	in	in	ADP
cana-6314	203	15	the	the	DET
cana-6314	203	16	clinically	clinically	ADV
cana-6314	203	17	recognized	recognize	VERB
cana-6314	203	18	regions	region	NOUN
cana-6314	203	19	since	since	SCONJ
cana-6314	203	20	there	there	PRON
cana-6314	203	21	is	be	VERB
cana-6314	203	22	presently	presently	ADV
cana-6314	203	23	no	no	DET
cana-6314	203	24	viable	viable	ADJ
cana-6314	203	25	treatment	treatment	NOUN
cana-6314	203	26	or	or	CCONJ
cana-6314	203	27	vaccine	vaccine	NOUN
cana-6314	203	28	for	for	ADP
cana-6314	203	29	diabetes	diabetes	NOUN
cana-6314	203	30	,	,	PUNCT
cana-6314	203	31	this	this	DET
cana-6314	203	32	study	study	NOUN
cana-6314	203	33	is	be	AUX
cana-6314	203	34	important	important	ADJ
cana-6314	203	35	because	because	SCONJ
cana-6314	203	36	it	it	PRON
cana-6314	203	37	looks	look	VERB
cana-6314	203	38	at	at	ADP
cana-6314	203	39	different	different	ADJ
cana-6314	203	40	approaches	approach	NOUN
cana-6314	203	41	to	to	ADP
cana-6314	203	42	patient	patient	ADJ
cana-6314	203	43	care	care	NOUN
cana-6314	203	44	and	and	CCONJ
cana-6314	203	45	lowers	lower	VERB
cana-6314	203	46	the	the	DET
cana-6314	203	47	death	death	NOUN
cana-6314	203	48	rate	rate	NOUN
cana-6314	203	49	while	while	SCONJ
cana-6314	203	50	encouraging	encourage	VERB
cana-6314	203	51	preventive	preventive	ADJ
cana-6314	203	52	actions	action	NOUN
cana-6314	203	53	to	to	PART
cana-6314	203	54	lower	lower	VERB
cana-6314	203	55	the	the	DET
cana-6314	203	56	chance	chance	NOUN
cana-6314	203	57	of	of	ADP
cana-6314	203	58	getting	get	VERB
cana-6314	203	59	the	the	DET
cana-6314	203	60	condition	condition	NOUN
cana-6314	203	61	.	.	PUNCT
cana-6314	204	1	the	the	DET
cana-6314	204	2	models	model	NOUN
cana-6314	204	3	were	be	AUX
cana-6314	204	4	evaluated	evaluate	VERB
cana-6314	204	5	using	use	VERB
cana-6314	204	6	a	a	DET
cana-6314	204	7	variety	variety	NOUN
cana-6314	204	8	communications	communication	NOUN
cana-6314	204	9	on	on	ADP
cana-6314	204	10	applied	apply	VERB
cana-6314	204	11	nonlinear	nonlinear	ADJ
cana-6314	204	12	analysis	analysis	NOUN
cana-6314	204	13	issn	issn	NOUN
cana-6314	204	14	:	:	PUNCT
cana-6314	204	15	1074	1074	NUM
cana-6314	204	16	-	-	PUNCT
cana-6314	204	17	133x	133x	NUM
cana-6314	204	18	vol	vol	NOUN
cana-6314	204	19	32	32	NUM
cana-6314	204	20	no	no	NOUN
cana-6314	204	21	.	.	PUNCT
cana-6314	205	1	1s	1s	NUM
cana-6314	205	2	(	(	PUNCT
cana-6314	205	3	2025	2025	NUM
cana-6314	205	4	)	)	PUNCT
cana-6314	205	5	773	773	NUM
cana-6314	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	205	7	of	of	ADP
cana-6314	205	8	measures	measure	NOUN
cana-6314	205	9	,	,	PUNCT
cana-6314	205	10	such	such	ADJ
cana-6314	205	11	as	as	ADP
cana-6314	205	12	sensitivity	sensitivity	NOUN
cana-6314	205	13	,	,	PUNCT
cana-6314	205	14	specificity	specificity	NOUN
cana-6314	205	15	,	,	PUNCT
cana-6314	205	16	accuracy	accuracy	NOUN
cana-6314	205	17	,	,	PUNCT
cana-6314	205	18	and	and	CCONJ
cana-6314	205	19	lowest	low	ADJ
cana-6314	205	20	test	test	NOUN
cana-6314	205	21	error	error	NOUN
cana-6314	205	22	.	.	PUNCT
cana-6314	206	1	which	which	PRON
cana-6314	206	2	included	include	VERB
cana-6314	206	3	100,000	100,000	NUM
cana-6314	206	4	records	record	NOUN
cana-6314	206	5	.	.	PUNCT
cana-6314	207	1	while	while	SCONJ
cana-6314	207	2	gender	gender	NOUN
cana-6314	207	3	had	have	VERB
cana-6314	207	4	no	no	DET
cana-6314	207	5	discernible	discernible	ADJ
cana-6314	207	6	effect	effect	NOUN
cana-6314	207	7	on	on	ADP
cana-6314	207	8	the	the	DET
cana-6314	207	9	risk	risk	NOUN
cana-6314	207	10	of	of	ADP
cana-6314	207	11	diabetes	diabetes	NOUN
cana-6314	207	12	,	,	PUNCT
cana-6314	207	13	indicating	indicate	VERB
cana-6314	207	14	that	that	SCONJ
cana-6314	207	15	the	the	DET
cana-6314	207	16	disease	disease	NOUN
cana-6314	207	17	is	be	AUX
cana-6314	207	18	not	not	PART
cana-6314	207	19	gender	gender	NOUN
cana-6314	207	20	-	-	PUNCT
cana-6314	207	21	biased	bias	VERB
cana-6314	207	22	,	,	PUNCT
cana-6314	207	23	the	the	DET
cana-6314	207	24	analysis	analysis	NOUN
cana-6314	207	25	showed	show	VERB
cana-6314	207	26	that	that	SCONJ
cana-6314	207	27	older	old	ADJ
cana-6314	207	28	age	age	NOUN
cana-6314	207	29	groups	group	NOUN
cana-6314	207	30	had	have	VERB
cana-6314	207	31	a	a	DET
cana-6314	207	32	higher	high	ADJ
cana-6314	207	33	prevalence	prevalence	NOUN
cana-6314	207	34	of	of	ADP
cana-6314	207	35	the	the	DET
cana-6314	207	36	condition	condition	NOUN
cana-6314	207	37	,	,	PUNCT
cana-6314	207	38	most	most	ADV
cana-6314	207	39	likely	likely	ADJ
cana-6314	207	40	as	as	ADP
cana-6314	207	41	a	a	DET
cana-6314	207	42	result	result	NOUN
cana-6314	207	43	of	of	ADP
cana-6314	207	44	weakening	weaken	VERB
cana-6314	207	45	immune	immune	ADJ
cana-6314	207	46	systems	system	NOUN
cana-6314	207	47	with	with	ADP
cana-6314	207	48	aging	aging	NOUN
cana-6314	207	49	.	.	PUNCT
cana-6314	208	1	these	these	DET
cana-6314	208	2	results	result	NOUN
cana-6314	208	3	emphasize	emphasize	VERB
cana-6314	208	4	how	how	SCONJ
cana-6314	208	5	crucial	crucial	ADJ
cana-6314	208	6	it	it	PRON
cana-6314	208	7	is	be	AUX
cana-6314	208	8	to	to	PART
cana-6314	208	9	apply	apply	VERB
cana-6314	208	10	machine	machine	NOUN
cana-6314	208	11	learning	learning	NOUN
cana-6314	208	12	to	to	PART
cana-6314	208	13	enhance	enhance	VERB
cana-6314	208	14	diabetes	diabetes	NOUN
cana-6314	208	15	management	management	NOUN
cana-6314	208	16	and	and	CCONJ
cana-6314	208	17	prediction	prediction	NOUN
cana-6314	208	18	.	.	PUNCT
cana-6314	209	1	to	to	PART
cana-6314	209	2	increase	increase	VERB
cana-6314	209	3	the	the	DET
cana-6314	209	4	precision	precision	NOUN
cana-6314	209	5	and	and	CCONJ
cana-6314	209	6	accuracy	accuracy	NOUN
cana-6314	209	7	of	of	ADP
cana-6314	209	8	blood	blood	NOUN
cana-6314	209	9	glucose	glucose	NOUN
cana-6314	209	10	measurements	measurement	NOUN
cana-6314	209	11	,	,	PUNCT
cana-6314	209	12	more	more	ADJ
cana-6314	209	13	study	study	NOUN
cana-6314	209	14	might	might	AUX
cana-6314	209	15	concentrate	concentrate	VERB
cana-6314	209	16	on	on	ADP
cana-6314	209	17	extracting	extract	VERB
cana-6314	209	18	derivative	derivative	ADJ
cana-6314	209	19	features	feature	NOUN
cana-6314	209	20	.	.	PUNCT
cana-6314	210	1	future	future	ADJ
cana-6314	210	2	scope	scope	NOUN
cana-6314	210	3	working	work	VERB
cana-6314	210	4	together	together	ADV
cana-6314	210	5	with	with	ADP
cana-6314	210	6	hospital	hospital	NOUN
cana-6314	210	7	it	it	PRON
cana-6314	210	8	departments	department	NOUN
cana-6314	210	9	will	will	AUX
cana-6314	210	10	be	be	AUX
cana-6314	210	11	necessary	necessary	ADJ
cana-6314	210	12	for	for	ADP
cana-6314	210	13	the	the	DET
cana-6314	210	14	predictive	predictive	ADJ
cana-6314	210	15	model	model	NOUN
cana-6314	210	16	's	's	PART
cana-6314	210	17	later	later	ADJ
cana-6314	210	18	adoption	adoption	NOUN
cana-6314	210	19	.	.	PUNCT
cana-6314	211	1	establishing	establish	VERB
cana-6314	211	2	smooth	smooth	ADJ
cana-6314	211	3	communication	communication	NOUN
cana-6314	211	4	between	between	ADP
cana-6314	211	5	the	the	DET
cana-6314	211	6	model	model	NOUN
cana-6314	211	7	and	and	CCONJ
cana-6314	211	8	current	current	ADJ
cana-6314	211	9	electronic	electronic	ADJ
cana-6314	211	10	health	health	NOUN
cana-6314	211	11	records	record	NOUN
cana-6314	211	12	and	and	CCONJ
cana-6314	211	13	enabling	enable	VERB
cana-6314	211	14	data	datum	NOUN
cana-6314	211	15	transfer	transfer	NOUN
cana-6314	211	16	between	between	ADP
cana-6314	211	17	them	they	PRON
cana-6314	211	18	will	will	AUX
cana-6314	211	19	be	be	AUX
cana-6314	211	20	crucial	crucial	ADJ
cana-6314	211	21	to	to	ADP
cana-6314	211	22	achieving	achieve	VERB
cana-6314	211	23	this	this	PRON
cana-6314	211	24	.	.	PUNCT
cana-6314	212	1	plans	plan	NOUN
cana-6314	212	2	also	also	ADV
cana-6314	212	3	call	call	VERB
cana-6314	212	4	for	for	ADP
cana-6314	212	5	concentra	concentra	PROPN
cana-6314	212	6	,	,	PUNCT
cana-6314	212	7	we	we	PRON
cana-6314	212	8	strongly	strongly	ADV
cana-6314	212	9	advise	advise	VERB
cana-6314	212	10	against	against	ADP
cana-6314	212	11	depending	depend	VERB
cana-6314	212	12	exclusively	exclusively	ADV
cana-6314	212	13	on	on	ADP
cana-6314	212	14	benchmark	benchmark	NOUN
cana-6314	212	15	results	result	NOUN
cana-6314	212	16	documented	document	VERB
cana-6314	212	17	.	.	PUNCT
cana-6314	213	1	to	to	PART
cana-6314	213	2	correctly	correctly	ADV
cana-6314	213	3	understand	understand	VERB
cana-6314	213	4	data	datum	NOUN
cana-6314	213	5	and	and	CCONJ
cana-6314	213	6	apply	apply	VERB
cana-6314	213	7	model	model	NOUN
cana-6314	213	8	predictions	prediction	NOUN
cana-6314	213	9	to	to	ADP
cana-6314	213	10	clinical	clinical	ADJ
cana-6314	213	11	decisionmaking	decisionmaking	NOUN
cana-6314	213	12	processes	process	NOUN
cana-6314	213	13	,	,	PUNCT
cana-6314	213	14	healthcare	healthcare	NOUN
cana-6314	213	15	providers	provider	NOUN
cana-6314	213	16	will	will	AUX
cana-6314	213	17	require	require	VERB
cana-6314	213	18	training	training	NOUN
cana-6314	213	19	.	.	PUNCT
cana-6314	214	1	prioritising	prioritise	VERB
cana-6314	214	2	patient	patient	ADJ
cana-6314	214	3	consent	consent	NOUN
cana-6314	214	4	and	and	CCONJ
cana-6314	214	5	user	user	NOUN
cana-6314	214	6	privacy	privacy	NOUN
cana-6314	214	7	is	be	AUX
cana-6314	214	8	essential	essential	ADJ
cana-6314	214	9	when	when	SCONJ
cana-6314	214	10	using	use	VERB
cana-6314	214	11	these	these	DET
cana-6314	214	12	predictions	prediction	NOUN
cana-6314	214	13	.	.	PUNCT
cana-6314	215	1	feedback	feedback	NOUN
cana-6314	215	2	will	will	AUX
cana-6314	215	3	be	be	AUX
cana-6314	215	4	actively	actively	ADV
cana-6314	215	5	gathered	gather	VERB
cana-6314	215	6	during	during	ADP
cana-6314	215	7	the	the	DET
cana-6314	215	8	implementation	implementation	NOUN
cana-6314	215	9	phase	phase	NOUN
cana-6314	215	10	in	in	ADP
cana-6314	215	11	order	order	NOUN
cana-6314	215	12	to	to	PART
cana-6314	215	13	pinpoint	pinpoint	VERB
cana-6314	215	14	areas	area	NOUN
cana-6314	215	15	that	that	PRON
cana-6314	215	16	require	require	VERB
cana-6314	215	17	enhancement	enhancement	NOUN
cana-6314	215	18	and	and	CCONJ
cana-6314	215	19	modernise	modernise	VERB
cana-6314	215	20	the	the	DET
cana-6314	215	21	model	model	NOUN
cana-6314	215	22	's	's	PART
cana-6314	215	23	capabilities	capability	NOUN
cana-6314	215	24	.	.	PUNCT
cana-6314	216	1	references	reference	NOUN
cana-6314	216	2	[	[	X
cana-6314	216	3	1	1	NUM
cana-6314	216	4	]	]	PUNCT
cana-6314	216	5	abhari	abhari	NOUN
cana-6314	216	6	,	,	PUNCT
cana-6314	216	7	s.	s.	PROPN
cana-6314	216	8	;	;	PUNCT
cana-6314	216	9	kalhori	kalhori	PROPN
cana-6314	216	10	,	,	PUNCT
cana-6314	216	11	s.r.n	s.r.n	PROPN
cana-6314	216	12	.	.	PROPN
cana-6314	216	13	;	;	PUNCT
cana-6314	216	14	ebrahimi	ebrahimi	PROPN
cana-6314	216	15	,	,	PUNCT
cana-6314	216	16	m.	m.	NOUN
cana-6314	216	17	;	;	PUNCT
cana-6314	216	18	hasannejadasl	hasannejadasl	PROPN
cana-6314	216	19	,	,	PUNCT
cana-6314	216	20	h.	h.	PROPN
cana-6314	216	21	;	;	PUNCT
cana-6314	216	22	garavand	garavand	PROPN
cana-6314	216	23	,	,	PUNCT
cana-6314	216	24	a.	a.	NOUN
cana-6314	216	25	artificial	artificial	PROPN
cana-6314	216	26	intelligence	intelligence	NOUN
cana-6314	216	27	applications	application	NOUN
cana-6314	216	28	in	in	ADP
cana-6314	216	29	type-2	type-2	NUM
cana-6314	216	30	diabetes	diabetes	NOUN
cana-6314	216	31	mellitus	mellitus	NOUN
cana-6314	216	32	care	care	NOUN
cana-6314	216	33	:	:	PUNCT
cana-6314	216	34	focus	focus	VERB
cana-6314	216	35	on	on	ADP
cana-6314	216	36	machine	machine	NOUN
cana-6314	216	37	learning	learning	NOUN
cana-6314	216	38	methods	method	NOUN
cana-6314	216	39	.	.	PUNCT
cana-6314	217	1	healthc	healthc	PROPN
cana-6314	217	2	.	.	PUNCT
cana-6314	218	1	inform	inform	NOUN
cana-6314	218	2	.	.	PUNCT
cana-6314	219	1	res	re	NOUN
cana-6314	219	2	.	.	PROPN
cana-6314	219	3	2019	2019	NUM
cana-6314	219	4	,	,	PUNCT
cana-6314	219	5	25	25	NUM
cana-6314	219	6	,	,	PUNCT
cana-6314	219	7	248–261	248–261	NUM
cana-6314	219	8	.	.	PUNCT
cana-6314	220	1	[	[	X
cana-6314	220	2	2	2	NUM
cana-6314	220	3	]	]	SYM
cana-6314	220	4	ning	ning	NOUN
cana-6314	220	5	,	,	PUNCT
cana-6314	220	6	f.f	f.f	PROPN
cana-6314	220	7	.	.	PROPN
cana-6314	220	8	;	;	PUNCT
cana-6314	220	9	osborne	osborne	PROPN
cana-6314	220	10	,	,	PUNCT
cana-6314	220	11	x.	x.	PROPN
cana-6314	220	12	;	;	PUNCT
cana-6314	220	13	cox	cox	PROPN
cana-6314	220	14	,	,	PUNCT
cana-6314	220	15	l.r	l.r	PROPN
cana-6314	220	16	.	.	PROPN
cana-6314	220	17	;	;	PUNCT
cana-6314	220	18	gunderson	gunderson	PROPN
cana-6314	220	19	,	,	PUNCT
cana-6314	220	20	b.j	b.j	PROPN
cana-6314	220	21	.	.	PROPN
cana-6314	220	22	;	;	PUNCT
cana-6314	220	23	wheeler	wheeler	NOUN
cana-6314	220	24	,	,	PUNCT
cana-6314	220	25	m.b	m.b	PROPN
cana-6314	220	26	.	.	PROPN
cana-6314	220	27	a	a	DET
cana-6314	220	28	predictive	predictive	ADJ
cana-6314	220	29	metabolic	metabolic	NOUN
cana-6314	220	30	signature	signature	NOUN
cana-6314	220	31	for	for	ADP
cana-6314	220	32	the	the	DET
cana-6314	220	33	transition	transition	NOUN
cana-6314	220	34	from	from	ADP
cana-6314	220	35	gestational	gestational	ADJ
cana-6314	220	36	diabetes	diabetes	NOUN
cana-6314	220	37	mellitus	mellitus	NOUN
cana-6314	220	38	to	to	ADP
cana-6314	220	39	type-2	type-2	NUM
cana-6314	220	40	diabetes	diabetes	NOUN
cana-6314	220	41	.	.	PUNCT
cana-6314	221	1	diabetes	diabetes	NOUN
cana-6314	221	2	2016	2016	NUM
cana-6314	221	3	,	,	PUNCT
cana-6314	221	4	65	65	NUM
cana-6314	221	5	,	,	PUNCT
cana-6314	221	6	2529–2539	2529–2539	NUM
cana-6314	221	7	.	.	PUNCT
cana-6314	222	1	[	[	X
cana-6314	222	2	3	3	X
cana-6314	222	3	]	]	X
cana-6314	222	4	mujumdar	mujumdar	NOUN
cana-6314	222	5	,	,	PUNCT
cana-6314	222	6	a.	a.	NOUN
cana-6314	222	7	;	;	PUNCT
cana-6314	222	8	vaidehi	vaidehi	PROPN
cana-6314	222	9	,	,	PUNCT
cana-6314	222	10	v.	v.	ADP
cana-6314	222	11	diabetes	diabetes	NOUN
cana-6314	222	12	prediction	prediction	NOUN
cana-6314	222	13	using	use	VERB
cana-6314	222	14	machine	machine	NOUN
cana-6314	222	15	learning	learning	NOUN
cana-6314	222	16	algorithms	algorithm	NOUN
cana-6314	222	17	.	.	PUNCT
cana-6314	223	1	procedia	procedia	PROPN
cana-6314	223	2	comput	comput	PROPN
cana-6314	223	3	.	.	PUNCT
cana-6314	224	1	sci	sci	PROPN
cana-6314	224	2	.	.	PROPN
cana-6314	224	3	2019	2019	NUM
cana-6314	224	4	,	,	PUNCT
cana-6314	224	5	165	165	NUM
cana-6314	224	6	,	,	PUNCT
cana-6314	224	7	292–299	292–299	NUM
cana-6314	224	8	.	.	PUNCT
cana-6314	225	1	[	[	X
cana-6314	225	2	4	4	NUM
cana-6314	225	3	]	]	X
cana-6314	225	4	andrews	andrews	PROPN
cana-6314	225	5	,	,	PUNCT
cana-6314	225	6	r.	r.	PROPN
cana-6314	225	7	;	;	PUNCT
cana-6314	225	8	diederich	diederich	NOUN
cana-6314	225	9	,	,	PUNCT
cana-6314	225	10	j.	j.	PROPN
cana-6314	225	11	;	;	PUNCT
cana-6314	225	12	tickle	tickle	PROPN
cana-6314	225	13	,	,	PUNCT
cana-6314	225	14	a.b	a.b	PROPN
cana-6314	225	15	.	.	PROPN
cana-6314	225	16	survey	survey	NOUN
cana-6314	225	17	and	and	CCONJ
cana-6314	225	18	critique	critique	NOUN
cana-6314	225	19	of	of	ADP
cana-6314	225	20	techniques	technique	NOUN
cana-6314	225	21	for	for	ADP
cana-6314	225	22	extracting	extract	VERB
cana-6314	225	23	rules	rule	NOUN
cana-6314	225	24	from	from	ADP
cana-6314	225	25	trained	train	VERB
cana-6314	225	26	artificial	artificial	ADJ
cana-6314	225	27	neural	neural	ADJ
cana-6314	225	28	networks	network	NOUN
cana-6314	225	29	.	.	PUNCT
cana-6314	226	1	knowl	knowl	PROPN
cana-6314	226	2	.	.	PUNCT
cana-6314	227	1	based	base	VERB
cana-6314	227	2	syst	syst	PROPN
cana-6314	227	3	.	.	PUNCT
cana-6314	227	4	1995	1995	NUM
cana-6314	227	5	,	,	PUNCT
cana-6314	227	6	8	8	NUM
cana-6314	227	7	,	,	PUNCT
cana-6314	227	8	373–389	373–389	NUM
cana-6314	227	9	[	[	X
cana-6314	227	10	5	5	NUM
cana-6314	227	11	]	]	X
cana-6314	227	12	hasan	hasan	PROPN
cana-6314	227	13	,	,	PUNCT
cana-6314	227	14	m.k	m.k	PROPN
cana-6314	227	15	.	.	PUNCT
cana-6314	227	16	;	;	PUNCT
cana-6314	227	17	alam	alam	PROPN
cana-6314	227	18	,	,	PUNCT
cana-6314	227	19	m.a	m.a	PROPN
cana-6314	227	20	.	.	PROPN
cana-6314	227	21	;	;	PUNCT
cana-6314	227	22	das	das	PROPN
cana-6314	227	23	,	,	PUNCT
cana-6314	227	24	d.	d.	PROPN
cana-6314	227	25	;	;	PUNCT
cana-6314	227	26	hossain	hossain	PROPN
cana-6314	227	27	,	,	PUNCT
cana-6314	227	28	e.	e.	PROPN
cana-6314	227	29	;	;	PUNCT
cana-6314	227	30	hasan	hasan	PROPN
cana-6314	227	31	,	,	PUNCT
cana-6314	227	32	m.	m.	NOUN
cana-6314	227	33	diabetes	diabetes	NOUN
cana-6314	227	34	prediction	prediction	NOUN
cana-6314	227	35	using	use	VERB
cana-6314	227	36	ensembling	ensemble	VERB
cana-6314	227	37	of	of	ADP
cana-6314	227	38	different	different	ADJ
cana-6314	227	39	machine	machine	NOUN
cana-6314	227	40	learning	learn	VERB
cana-6314	227	41	classifiers	classifier	NOUN
cana-6314	227	42	.	.	PUNCT
cana-6314	228	1	ieee	ieee	NOUN
cana-6314	228	2	access	access	NOUN
cana-6314	228	3	2020	2020	NUM
cana-6314	228	4	,	,	PUNCT
cana-6314	228	5	8	8	NUM
cana-6314	228	6	,	,	PUNCT
cana-6314	228	7	76516–76531	76516–76531	NUM
cana-6314	228	8	.	.	PUNCT
cana-6314	229	1	[	[	X
cana-6314	229	2	6	6	NUM
cana-6314	229	3	]	]	X
cana-6314	229	4	joshi	joshi	PROPN
cana-6314	229	5	,	,	PUNCT
cana-6314	229	6	t.n	t.n	PROPN
cana-6314	229	7	.	.	PROPN
cana-6314	229	8	;	;	PUNCT
cana-6314	229	9	chawan	chawan	PROPN
cana-6314	229	10	,	,	PUNCT
cana-6314	229	11	p.p.m	p.p.m	PROPN
cana-6314	229	12	.	.	PUNCT
cana-6314	230	1	diabetes	diabetes	NOUN
cana-6314	230	2	prediction	prediction	NOUN
cana-6314	230	3	using	use	VERB
cana-6314	230	4	machine	machine	NOUN
cana-6314	230	5	learning	learning	NOUN
cana-6314	230	6	techniques	technique	NOUN
cana-6314	230	7	.	.	PUNCT
cana-6314	231	1	int	int	NOUN
cana-6314	231	2	.	.	PUNCT
cana-6314	232	1	j.	j.	PROPN
cana-6314	232	2	eng	eng	PROPN
cana-6314	232	3	.	.	PUNCT
cana-6314	233	1	res	res	PROPN
cana-6314	233	2	.	.	PUNCT
cana-6314	233	3	appl	appl	PROPN
cana-6314	233	4	.	.	PROPN
cana-6314	234	1	2018	2018	NUM
cana-6314	234	2	,	,	PUNCT
cana-6314	234	3	8	8	NUM
cana-6314	234	4	,	,	PUNCT
cana-6314	234	5	9–13	9–13	NOUN
cana-6314	234	6	.	.	PUNCT
cana-6314	235	1	[	[	X
cana-6314	235	2	7	7	NUM
cana-6314	235	3	]	]	X
cana-6314	235	4	chiu	chiu	PROPN
cana-6314	235	5	,	,	PUNCT
cana-6314	235	6	s.	s.	PROPN
cana-6314	235	7	fuzzy	fuzzy	ADJ
cana-6314	235	8	model	model	NOUN
cana-6314	235	9	identification	identification	NOUN
cana-6314	235	10	based	base	VERB
cana-6314	235	11	on	on	ADP
cana-6314	235	12	cluster	cluster	NOUN
cana-6314	235	13	estimation	estimation	NOUN
cana-6314	235	14	.	.	PUNCT
cana-6314	236	1	j.	j.	PROPN
cana-6314	236	2	intell	intell	PROPN
cana-6314	236	3	.	.	PUNCT
cana-6314	237	1	fuzzy	fuzzy	ADJ
cana-6314	237	2	syst	syst	PROPN
cana-6314	237	3	.	.	PUNCT
cana-6314	237	4	1994	1994	NUM
cana-6314	237	5	,	,	PUNCT
cana-6314	237	6	2	2	NUM
cana-6314	237	7	,	,	PUNCT
cana-6314	237	8	267–278	267–278	NUM
cana-6314	237	9	.	.	PUNCT
cana-6314	238	1	[	[	X
cana-6314	238	2	8	8	NUM
cana-6314	238	3	]	]	PUNCT
cana-6314	238	4	yahyaoui	yahyaoui	NOUN
cana-6314	238	5	,	,	PUNCT
cana-6314	238	6	a.	a.	NOUN
cana-6314	238	7	;	;	PUNCT
cana-6314	238	8	jamil	jamil	PROPN
cana-6314	238	9	,	,	PUNCT
cana-6314	238	10	a.	a.	PROPN
cana-6314	238	11	;	;	PUNCT
cana-6314	238	12	rasheed	rasheed	NOUN
cana-6314	238	13	,	,	PUNCT
cana-6314	238	14	j.	j.	PROPN
cana-6314	238	15	;	;	PUNCT
cana-6314	238	16	yesiltepe	yesiltepe	ADJ
cana-6314	238	17	,	,	PUNCT
cana-6314	238	18	m.	m.	NOUN
cana-6314	238	19	a	a	DET
cana-6314	238	20	decision	decision	NOUN
cana-6314	238	21	support	support	NOUN
cana-6314	238	22	system	system	NOUN
cana-6314	238	23	for	for	ADP
cana-6314	238	24	diabetes	diabetes	NOUN
cana-6314	238	25	prediction	prediction	NOUN
cana-6314	238	26	using	use	VERB
cana-6314	238	27	machine	machine	NOUN
cana-6314	238	28	learning	learning	NOUN
cana-6314	238	29	and	and	CCONJ
cana-6314	238	30	deep	deep	ADJ
cana-6314	238	31	learning	learning	NOUN
cana-6314	238	32	techniques	technique	NOUN
cana-6314	238	33	.	.	PUNCT
cana-6314	239	1	in	in	ADP
cana-6314	239	2	proceedings	proceeding	NOUN
cana-6314	239	3	of	of	ADP
cana-6314	239	4	the	the	DET
cana-6314	239	5	2019	2019	NUM
cana-6314	239	6	communications	communication	NOUN
cana-6314	239	7	on	on	ADP
cana-6314	239	8	applied	apply	VERB
cana-6314	239	9	nonlinear	nonlinear	ADJ
cana-6314	239	10	analysis	analysis	NOUN
cana-6314	239	11	issn	issn	NOUN
cana-6314	239	12	:	:	PUNCT
cana-6314	239	13	1074	1074	NUM
cana-6314	239	14	-	-	PUNCT
cana-6314	239	15	133x	133x	NUM
cana-6314	239	16	vol	vol	NOUN
cana-6314	239	17	32	32	NUM
cana-6314	239	18	no	no	NOUN
cana-6314	239	19	.	.	PUNCT
cana-6314	240	1	1s	1s	NUM
cana-6314	240	2	(	(	PUNCT
cana-6314	240	3	2025	2025	NUM
cana-6314	240	4	)	)	PUNCT
cana-6314	240	5	774	774	NUM
cana-6314	240	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6314	240	7	1st	1st	ADJ
cana-6314	240	8	international	international	ADJ
cana-6314	240	9	informatics	informatic	NOUN
cana-6314	240	10	and	and	CCONJ
cana-6314	240	11	software	software	NOUN
cana-6314	240	12	engineering	engineering	NOUN
cana-6314	240	13	conference	conference	NOUN
cana-6314	240	14	(	(	PUNCT
cana-6314	240	15	ubmyk	ubmyk	NOUN
cana-6314	240	16	)	)	PUNCT
cana-6314	240	17	,	,	PUNCT
cana-6314	240	18	ankara	ankara	PROPN
cana-6314	240	19	,	,	PUNCT
cana-6314	240	20	turkey	turkey	PROPN
cana-6314	240	21	,	,	PUNCT
cana-6314	240	22	6–7	6–7	NUM
cana-6314	240	23	november	november	PROPN
cana-6314	240	24	2019	2019	NUM
cana-6314	240	25	;	;	PUNCT
cana-6314	240	26	pp	pp	ADP
cana-6314	240	27	.	.	PUNCT
cana-6314	241	1	1–4	1–4	NUM
cana-6314	241	2	.	.	PUNCT
cana-6314	242	1	[	[	X
cana-6314	242	2	9	9	NUM
cana-6314	242	3	]	]	X
cana-6314	242	4	cunningham	cunningham	PROPN
cana-6314	242	5	,	,	PUNCT
cana-6314	242	6	p.	p.	NOUN
cana-6314	242	7	;	;	PUNCT
cana-6314	242	8	carney	carney	PROPN
cana-6314	242	9	,	,	PUNCT
cana-6314	242	10	j.	j.	PROPN
cana-6314	242	11	;	;	PUNCT
cana-6314	242	12	jacob	jacob	PROPN
cana-6314	242	13	,	,	PUNCT
cana-6314	242	14	s.	s.	PROPN
cana-6314	242	15	stability	stability	PROPN
cana-6314	242	16	problems	problem	NOUN
cana-6314	242	17	with	with	ADP
cana-6314	242	18	artificial	artificial	ADJ
cana-6314	242	19	neural	neural	ADJ
cana-6314	242	20	networks	network	NOUN
cana-6314	242	21	and	and	CCONJ
cana-6314	242	22	the	the	DET
cana-6314	242	23	ensemble	ensemble	ADJ
cana-6314	242	24	solution	solution	NOUN
cana-6314	242	25	.	.	PUNCT
cana-6314	243	1	artif	artif	INTJ
cana-6314	243	2	.	.	PUNCT
cana-6314	244	1	intell	intell	PROPN
cana-6314	244	2	.	.	PUNCT
cana-6314	245	1	med	med	PROPN
cana-6314	245	2	.	.	PROPN
cana-6314	245	3	2000	2000	NUM
cana-6314	245	4	,	,	PUNCT
cana-6314	245	5	20	20	NUM
cana-6314	245	6	,	,	PUNCT
cana-6314	245	7	217–225	217–225	NUM
cana-6314	245	8	.	.	PUNCT
cana-6314	246	1	[	[	X
cana-6314	246	2	10	10	NUM
cana-6314	246	3	]	]	X
cana-6314	246	4	dutta	dutta	PROPN
cana-6314	246	5	,	,	PUNCT
cana-6314	246	6	d.	d.	PROPN
cana-6314	246	7	;	;	PUNCT
cana-6314	246	8	paul	paul	PROPN
cana-6314	246	9	,	,	PUNCT
cana-6314	246	10	d.	d.	PROPN
cana-6314	246	11	;	;	PUNCT
cana-6314	246	12	ghosh	ghosh	PROPN
cana-6314	246	13	,	,	PUNCT
cana-6314	246	14	p.	p.	NOUN
cana-6314	246	15	analysing	analyse	VERB
cana-6314	246	16	feature	feature	NOUN
cana-6314	246	17	importances	importance	NOUN
cana-6314	246	18	for	for	ADP
cana-6314	246	19	diabetes	diabetes	NOUN
cana-6314	246	20	prediction	prediction	NOUN
cana-6314	246	21	using	use	VERB
cana-6314	246	22	machine	machine	NOUN
cana-6314	246	23	learning	learning	NOUN
cana-6314	246	24	.	.	PUNCT
cana-6314	247	1	in	in	ADP
cana-6314	247	2	proceedings	proceeding	NOUN
cana-6314	247	3	of	of	ADP
cana-6314	247	4	the	the	DET
cana-6314	247	5	2018	2018	NUM
cana-6314	247	6	ieee	ieee	NOUN
cana-6314	247	7	9th	9th	ADJ
cana-6314	247	8	annual	annual	ADJ
cana-6314	247	9	information	information	NOUN
cana-6314	247	10	technology	technology	NOUN
cana-6314	247	11	,	,	PUNCT
cana-6314	247	12	electronics	electronic	NOUN
cana-6314	247	13	and	and	CCONJ
cana-6314	247	14	mobile	mobile	ADJ
cana-6314	247	15	communication	communication	NOUN
cana-6314	247	16	conference	conference	NOUN
cana-6314	247	17	(	(	PUNCT
cana-6314	247	18	iemcon	iemcon	NOUN
cana-6314	247	19	)	)	PUNCT
cana-6314	247	20	,	,	PUNCT
cana-6314	247	21	vancouver	vancouver	PROPN
cana-6314	247	22	,	,	PUNCT
cana-6314	247	23	bc	bc	PROPN
cana-6314	247	24	,	,	PUNCT
cana-6314	247	25	canada	canada	PROPN
cana-6314	247	26	,	,	PUNCT
cana-6314	247	27	1	1	NUM
cana-6314	247	28	–	–	PUNCT
cana-6314	247	29	3	3	NUM
cana-6314	247	30	november	november	PROPN
cana-6314	247	31	2018	2018	NUM
cana-6314	247	32	;	;	PUNCT
cana-6314	247	33	pp	pp	ADP
cana-6314	247	34	.	.	PUNCT
cana-6314	248	1	924–928	924–928	NUM
cana-6314	248	2	.	.	PUNCT
cana-6314	249	1	[	[	X
cana-6314	249	2	11	11	NUM
cana-6314	249	3	]	]	SYM
cana-6314	249	4	magoulas	magoula	NOUN
cana-6314	249	5	,	,	PUNCT
cana-6314	249	6	g.d	g.d	PROPN
cana-6314	249	7	.	.	PROPN
cana-6314	249	8	;	;	PUNCT
cana-6314	249	9	prentza	prentza	NOUN
cana-6314	249	10	,	,	PUNCT
cana-6314	249	11	a.	a.	NOUN
cana-6314	249	12	machine	machine	NOUN
cana-6314	249	13	learning	learn	VERB
cana-6314	249	14	in	in	ADP
cana-6314	249	15	medical	medical	ADJ
cana-6314	249	16	applications	application	NOUN
cana-6314	249	17	.	.	PUNCT
cana-6314	250	1	mach	mach	NOUN
cana-6314	250	2	.	.	PUNCT
cana-6314	251	1	learn	learn	VERB
cana-6314	251	2	.	.	PUNCT
cana-6314	252	1	its	its	PRON
cana-6314	252	2	appl	appl	NOUN
cana-6314	252	3	.	.	PROPN
cana-6314	252	4	2001	2001	NUM
cana-6314	252	5	,	,	PUNCT
cana-6314	252	6	21	21	NUM
cana-6314	252	7	,	,	PUNCT
cana-6314	252	8	300–307	300–307	NUM
cana-6314	252	9	.	.	PUNCT
cana-6314	253	1	[	[	X
cana-6314	253	2	12	12	NUM
cana-6314	253	3	]	]	X
cana-6314	253	4	huang	huang	PROPN
cana-6314	253	5	,	,	PUNCT
cana-6314	253	6	y.	y.	PROPN
cana-6314	253	7	;	;	PUNCT
cana-6314	253	8	mccullagh	mccullagh	PROPN
cana-6314	253	9	,	,	PUNCT
cana-6314	253	10	p.	p.	NOUN
cana-6314	253	11	;	;	PUNCT
cana-6314	253	12	black	black	ADJ
cana-6314	253	13	,	,	PUNCT
cana-6314	253	14	n.	n.	PROPN
cana-6314	253	15	;	;	PUNCT
cana-6314	253	16	harper	harper	NOUN
cana-6314	253	17	,	,	PUNCT
cana-6314	253	18	r.	r.	PROPN
cana-6314	253	19	feature	feature	NOUN
cana-6314	253	20	selection	selection	NOUN
cana-6314	253	21	,	,	PUNCT
cana-6314	253	22	and	and	CCONJ
cana-6314	253	23	classification	classification	NOUN
cana-6314	253	24	model	model	NOUN
cana-6314	253	25	construction	construction	NOUN
cana-6314	253	26	on	on	ADP
cana-6314	253	27	type-2	type-2	NUM
cana-6314	253	28	diabetic	diabetic	ADJ
cana-6314	253	29	patients	patient	NOUN
cana-6314	253	30	’	'	PUNCT
cana-6314	253	31	data	datum	NOUN
cana-6314	253	32	.	.	PUNCT
cana-6314	254	1	artif	artif	INTJ
cana-6314	254	2	.	.	PUNCT
cana-6314	255	1	intell	intell	PROPN
cana-6314	255	2	.	.	PUNCT
cana-6314	256	1	med	med	PROPN
cana-6314	256	2	.	.	PROPN
cana-6314	257	1	2007	2007	NUM
cana-6314	257	2	,	,	PUNCT
cana-6314	257	3	41	41	NUM
cana-6314	257	4	,	,	PUNCT
cana-6314	257	5	251–262	251–262	NUM
cana-6314	257	6	.	.	PUNCT
cana-6314	258	1	[	[	X
cana-6314	258	2	13	13	NUM
cana-6314	258	3	]	]	X
cana-6314	258	4	sarwar	sarwar	PROPN
cana-6314	258	5	,	,	PUNCT
cana-6314	258	6	m.a	m.a	PROPN
cana-6314	258	7	.	.	PROPN
cana-6314	258	8	;	;	PUNCT
cana-6314	258	9	kamal	kamal	PROPN
cana-6314	258	10	,	,	PUNCT
cana-6314	258	11	n.	n.	PROPN
cana-6314	258	12	;	;	PUNCT
cana-6314	258	13	hamid	hamid	PROPN
cana-6314	258	14	,	,	PUNCT
cana-6314	258	15	w.	w.	PROPN
cana-6314	258	16	;	;	PUNCT
cana-6314	258	17	shah	shah	PROPN
cana-6314	258	18	,	,	PUNCT
cana-6314	258	19	m.a	m.a	PROPN
cana-6314	258	20	.	.	PROPN
cana-6314	258	21	prediction	prediction	NOUN
cana-6314	258	22	of	of	ADP
cana-6314	258	23	diabetes	diabetes	NOUN
cana-6314	258	24	using	use	VERB
cana-6314	258	25	machine	machine	NOUN
cana-6314	258	26	learning	learn	VERB
cana-6314	258	27	algorithms	algorithm	NOUN
cana-6314	258	28	in	in	ADP
cana-6314	258	29	healthcare	healthcare	PROPN
cana-6314	258	30	.	.	PUNCT
cana-6314	259	1	in	in	ADP
cana-6314	259	2	proceedings	proceeding	NOUN
cana-6314	259	3	of	of	ADP
cana-6314	259	4	the	the	DET
cana-6314	259	5	2018	2018	NUM
cana-6314	259	6	24th	24th	NOUN
cana-6314	259	7	international	international	ADJ
cana-6314	259	8	conference	conference	NOUN
cana-6314	259	9	on	on	ADP
cana-6314	259	10	automation	automation	NOUN
cana-6314	259	11	and	and	CCONJ
cana-6314	259	12	computing	computing	NOUN
cana-6314	259	13	(	(	PUNCT
cana-6314	259	14	icac	icac	PROPN
cana-6314	259	15	)	)	PUNCT
cana-6314	259	16	,	,	PUNCT
cana-6314	259	17	newcastle	newcastle	PROPN
cana-6314	259	18	upon	upon	SCONJ
cana-6314	259	19	tyne	tyne	PROPN
cana-6314	259	20	,	,	PUNCT
cana-6314	259	21	uk	uk	PROPN
cana-6314	259	22	,	,	PUNCT
cana-6314	259	23	6–7	6–7	NOUN
cana-6314	259	24	september	september	PROPN
cana-6314	259	25	2018	2018	NUM
cana-6314	259	26	;	;	PUNCT
cana-6314	259	27	pp	pp	ADV
cana-6314	259	28	.	.	PUNCT
cana-6314	260	1	1–6	1–6	X
cana-6314	260	2	.	.	PUNCT
cana-6314	261	1	[	[	X
cana-6314	261	2	14	14	NUM
cana-6314	261	3	]	]	X
cana-6314	261	4	zou	zou	PROPN
cana-6314	261	5	,	,	PUNCT
cana-6314	261	6	q.	q.	PROPN
cana-6314	261	7	;	;	PUNCT
cana-6314	261	8	qu	qu	PROPN
cana-6314	261	9	,	,	PUNCT
cana-6314	261	10	k.	k.	PROPN
cana-6314	261	11	;	;	PUNCT
cana-6314	261	12	luo	luo	PROPN
cana-6314	261	13	,	,	PUNCT
cana-6314	261	14	y.	y.	PROPN
cana-6314	261	15	;	;	PUNCT
cana-6314	261	16	yin	yin	PROPN
cana-6314	261	17	,	,	PUNCT
cana-6314	261	18	d.	d.	PROPN
cana-6314	261	19	;	;	PUNCT
cana-6314	261	20	ju	ju	PROPN
cana-6314	261	21	,	,	PUNCT
cana-6314	261	22	y.	y.	PROPN
cana-6314	261	23	;	;	PUNCT
cana-6314	261	24	tang	tang	PROPN
cana-6314	261	25	,	,	PUNCT
cana-6314	261	26	h.	h.	PROPN
cana-6314	261	27	predicting	predict	VERB
cana-6314	261	28	diabetes	diabetes	NOUN
cana-6314	261	29	mellitus	mellitus	NOUN
cana-6314	261	30	with	with	ADP
cana-6314	261	31	machine	machine	NOUN
cana-6314	261	32	learning	learn	VERB
cana-6314	261	33	techniques	technique	NOUN
cana-6314	261	34	.	.	PUNCT
cana-6314	262	1	front	front	ADJ
cana-6314	262	2	.	.	PUNCT
cana-6314	263	1	genet	genet	NOUN
cana-6314	263	2	.	.	PUNCT
cana-6314	264	1	2018	2018	NUM
cana-6314	264	2	,	,	PUNCT
cana-6314	264	3	9	9	NUM
cana-6314	264	4	,	,	PUNCT
cana-6314	264	5	515	515	NUM
cana-6314	264	6	.	.	PUNCT
cana-6314	265	1	[	[	X
cana-6314	265	2	15	15	NUM
cana-6314	265	3	]	]	X
cana-6314	265	4	ali	ali	PROPN
cana-6314	265	5	,	,	PUNCT
cana-6314	265	6	a.	a.	PROPN
cana-6314	265	7	;	;	PUNCT
cana-6314	265	8	almaiah	almaiah	PROPN
cana-6314	265	9	,	,	PUNCT
cana-6314	265	10	m.a	m.a	PROPN
cana-6314	265	11	.	.	PROPN
cana-6314	265	12	;	;	PUNCT
cana-6314	265	13	hajjej	hajjej	PROPN
cana-6314	265	14	,	,	PUNCT
cana-6314	265	15	f.	f.	PROPN
cana-6314	265	16	;	;	PUNCT
cana-6314	265	17	pasha	pasha	PROPN
cana-6314	265	18	,	,	PUNCT
cana-6314	265	19	m.f	m.f	PROPN
cana-6314	265	20	.	.	PROPN
cana-6314	265	21	;	;	PUNCT
cana-6314	265	22	fang	fang	X
cana-6314	265	23	,	,	PUNCT
cana-6314	265	24	o.h	o.h	PROPN
cana-6314	265	25	.	.	PROPN
cana-6314	265	26	;	;	PUNCT
cana-6314	265	27	khan	khan	PROPN
cana-6314	265	28	,	,	PUNCT
cana-6314	265	29	r.	r.	PROPN
cana-6314	265	30	;	;	PUNCT
cana-6314	265	31	teo	teo	PROPN
cana-6314	265	32	,	,	PUNCT
cana-6314	265	33	j.	j.	PROPN
cana-6314	265	34	;	;	PUNCT
cana-6314	265	35	zakarya	zakarya	PROPN
cana-6314	265	36	,	,	PUNCT
cana-6314	265	37	m.	m.	NOUN
cana-6314	265	38	an	an	DET
cana-6314	265	39	industrial	industrial	ADJ
cana-6314	265	40	iot	iot	NOUN
cana-6314	265	41	-	-	PUNCT
cana-6314	265	42	based	base	VERB
cana-6314	265	43	blockchain	blockchain	NOUN
cana-6314	265	44	-	-	PUNCT
cana-6314	265	45	enabled	enable	VERB
cana-6314	265	46	secure	secure	ADJ
cana-6314	265	47	searchable	searchable	ADJ
cana-6314	265	48	encryption	encryption	NOUN
cana-6314	265	49	approach	approach	NOUN
cana-6314	265	50	for	for	ADP
cana-6314	265	51	healthcare	healthcare	NOUN
cana-6314	265	52	systems	system	NOUN
cana-6314	265	53	using	use	VERB
cana-6314	265	54	neural	neural	ADJ
cana-6314	265	55	network	network	NOUN
cana-6314	265	56	.	.	PUNCT
cana-6314	266	1	sensors	sensor	NOUN
cana-6314	266	2	2022	2022	NUM
cana-6314	266	3	,	,	PUNCT
cana-6314	266	4	22	22	NUM
cana-6314	266	5	,	,	PUNCT
cana-6314	266	6	572	572	NUM
cana-6314	266	7	.	.	PUNCT
cana-6314	267	1	[	[	X
cana-6314	267	2	16	16	NUM
cana-6314	267	3	]	]	X
cana-6314	267	4	kavakiotis	kavakiotis	PROPN
cana-6314	267	5	,	,	PUNCT
cana-6314	267	6	i.	i.	PROPN
cana-6314	267	7	;	;	PUNCT
cana-6314	267	8	tsave	tsave	ADJ
cana-6314	267	9	,	,	PUNCT
cana-6314	267	10	o.	o.	PROPN
cana-6314	267	11	;	;	PUNCT
cana-6314	267	12	salifoglou	salifoglou	PROPN
cana-6314	267	13	,	,	PUNCT
cana-6314	267	14	a.	a.	NOUN
cana-6314	267	15	;	;	PUNCT
cana-6314	267	16	maglaveras	maglaveras	X
cana-6314	267	17	,	,	PUNCT
cana-6314	267	18	n.	n.	NOUN
cana-6314	267	19	;	;	PUNCT
cana-6314	267	20	vlahavas	vlahavas	PROPN
cana-6314	267	21	,	,	PUNCT
cana-6314	267	22	i.	i.	NOUN
cana-6314	267	23	;	;	PUNCT
cana-6314	267	24	chouvarda	chouvarda	PROPN
cana-6314	267	25	,	,	PUNCT
cana-6314	267	26	i.	i.	NOUN
cana-6314	267	27	machine	machine	NOUN
cana-6314	267	28	learning	learning	PROPN
cana-6314	267	29	and	and	CCONJ
cana-6314	267	30	data	datum	NOUN
cana-6314	267	31	mining	mining	NOUN
cana-6314	267	32	methods	method	NOUN
cana-6314	267	33	in	in	ADP
cana-6314	267	34	diabetes	diabetes	NOUN
cana-6314	267	35	research	research	NOUN
cana-6314	267	36	.	.	PUNCT
cana-6314	268	1	comput	comput	NOUN
cana-6314	268	2	.	.	PUNCT
cana-6314	268	3	struct	struct	NOUN
cana-6314	268	4	.	.	PUNCT
cana-6314	269	1	biotechnol	biotechnol	PROPN
cana-6314	269	2	.	.	PUNCT
cana-6314	270	1	j.	j.	PROPN
cana-6314	270	2	2017	2017	NUM
cana-6314	270	3	,	,	PUNCT
cana-6314	270	4	15	15	NUM
cana-6314	270	5	,	,	PUNCT
cana-6314	270	6	104–116	104–116	NUM
cana-6314	270	7	.	.	PUNCT
cana-6314	271	1	[	[	X
cana-6314	271	2	17	17	NUM
cana-6314	271	3	]	]	PUNCT
cana-6314	271	4	kharroubi	kharroubi	PROPN
cana-6314	271	5	,	,	PUNCT
cana-6314	271	6	a.t	a.t	PROPN
cana-6314	271	7	.	.	PROPN
cana-6314	271	8	;	;	PUNCT
cana-6314	271	9	darwish	darwish	PROPN
cana-6314	271	10	,	,	PUNCT
cana-6314	271	11	h.m	h.m	PROPN
cana-6314	271	12	.	.	PROPN
cana-6314	271	13	diabetes	diabetes	PROPN
cana-6314	271	14	mellitus	mellitus	NOUN
cana-6314	271	15	:	:	PUNCT
cana-6314	271	16	the	the	DET
cana-6314	271	17	epidemic	epidemic	NOUN
cana-6314	271	18	of	of	ADP
cana-6314	271	19	the	the	DET
cana-6314	271	20	century	century	NOUN
cana-6314	271	21	.	.	PUNCT
cana-6314	272	1	world	world	PROPN
cana-6314	272	2	j.	j.	PROPN
cana-6314	272	3	diabetes	diabetes	PROPN
cana-6314	272	4	2024	2024	NUM
cana-6314	272	5	,	,	PUNCT
cana-6314	272	6	6	6	NUM
cana-6314	272	7	,	,	PUNCT
cana-6314	272	8	850–867	850–867	NUM
cana-6314	272	9	.	.	PUNCT
cana-6314	273	1	[	[	X
cana-6314	273	2	18	18	NUM
cana-6314	273	3	]	]	X
cana-6314	273	4	arunachalam	arunachalam	PROPN
cana-6314	273	5	,	,	PUNCT
cana-6314	273	6	p.	p.	NOUN
cana-6314	273	7	;	;	PUNCT
cana-6314	273	8	janakiraman	janakiraman	PROPN
cana-6314	273	9	,	,	PUNCT
cana-6314	273	10	n.	n.	PROPN
cana-6314	273	11	;	;	PUNCT
cana-6314	273	12	rashid	rashid	PROPN
cana-6314	273	13	,	,	PUNCT
cana-6314	273	14	j.	j.	PROPN
cana-6314	273	15	;	;	PUNCT
cana-6314	273	16	kim	kim	PROPN
cana-6314	273	17	,	,	PUNCT
cana-6314	273	18	j.	j.	PROPN
cana-6314	273	19	;	;	PUNCT
cana-6314	273	20	samanta	samanta	PROPN
cana-6314	273	21	,	,	PUNCT
cana-6314	273	22	s.	s.	PROPN
cana-6314	273	23	;	;	PUNCT
cana-6314	273	24	naseem	naseem	PROPN
cana-6314	273	25	,	,	PUNCT
cana-6314	273	26	u.	u.	PROPN
cana-6314	273	27	;	;	PUNCT
cana-6314	273	28	sivaraman	sivaraman	PROPN
cana-6314	273	29	,	,	PUNCT
cana-6314	273	30	a.k	a.k	PROPN
cana-6314	273	31	.	.	PROPN
cana-6314	273	32	;	;	PUNCT
cana-6314	273	33	balasundaram	balasundaram	PROPN
cana-6314	273	34	,	,	PUNCT
cana-6314	273	35	a.	a.	NOUN
cana-6314	273	36	effective	effective	ADJ
cana-6314	273	37	classification	classification	NOUN
cana-6314	273	38	of	of	ADP
cana-6314	273	39	synovial	synovial	ADJ
cana-6314	273	40	sarcoma	sarcoma	NOUN
cana-6314	273	41	cancer	cancer	NOUN
cana-6314	273	42	using	use	VERB
cana-6314	273	43	structure	structure	NOUN
cana-6314	273	44	features	feature	NOUN
cana-6314	273	45	and	and	CCONJ
cana-6314	273	46	support	support	NOUN
cana-6314	273	47	vectors	vector	NOUN
cana-6314	273	48	.	.	PUNCT
cana-6314	274	1	comput	comput	NOUN
cana-6314	274	2	.	.	PUNCT
cana-6314	275	1	mater	mater	NOUN
cana-6314	275	2	.	.	PUNCT
cana-6314	276	1	contin	contin	X
cana-6314	276	2	.	.	PUNCT
cana-6314	277	1	(	(	PUNCT
cana-6314	277	2	cmc	cmc	NOUN
cana-6314	277	3	)	)	PUNCT
cana-6314	277	4	2022	2022	NUM
cana-6314	277	5	,	,	PUNCT
cana-6314	277	6	72	72	NUM
cana-6314	277	7	,	,	PUNCT
cana-6314	277	8	2521–2543	2521–2543	NUM
cana-6314	277	9	.	.	PUNCT
cana-6314	278	1	[	[	X
cana-6314	278	2	19	19	NUM
cana-6314	278	3	]	]	PUNCT
cana-6314	278	4	kononenko	kononenko	PROPN
cana-6314	278	5	,	,	PUNCT
cana-6314	278	6	i.	i.	NOUN
cana-6314	278	7	machine	machine	NOUN
cana-6314	278	8	learning	learn	VERB
cana-6314	278	9	for	for	ADP
cana-6314	278	10	medical	medical	ADJ
cana-6314	278	11	diagnosis	diagnosis	NOUN
cana-6314	278	12	:	:	PUNCT
cana-6314	278	13	history	history	NOUN
cana-6314	278	14	,	,	PUNCT
cana-6314	278	15	state	state	NOUN
cana-6314	278	16	of	of	ADP
cana-6314	278	17	the	the	DET
cana-6314	278	18	art	art	NOUN
cana-6314	278	19	and	and	CCONJ
cana-6314	278	20	perspective	perspective	NOUN
cana-6314	278	21	.	.	PUNCT
cana-6314	279	1	artif	artif	INTJ
cana-6314	279	2	.	.	PUNCT
cana-6314	280	1	intell	intell	PROPN
cana-6314	280	2	.	.	PUNCT
cana-6314	281	1	med	med	PROPN
cana-6314	281	2	.	.	PROPN
cana-6314	282	1	2023	2023	NUM
cana-6314	282	2	,	,	PUNCT
cana-6314	282	3	23	23	NUM
cana-6314	282	4	,	,	PUNCT
cana-6314	282	5	89–109	89–109	NUM
cana-6314	282	6	.	.	PUNCT
cana-6314	283	1	[	[	X
cana-6314	283	2	20	20	NUM
cana-6314	283	3	]	]	SYM
cana-6314	283	4	saru	saru	NOUN
cana-6314	283	5	,	,	PUNCT
cana-6314	283	6	s.	s.	PROPN
cana-6314	283	7	;	;	PUNCT
cana-6314	283	8	subashree	subashree	PROPN
cana-6314	283	9	,	,	PUNCT
cana-6314	283	10	s.	s.	PROPN
cana-6314	283	11	analysis	analysis	NOUN
cana-6314	283	12	and	and	CCONJ
cana-6314	283	13	prediction	prediction	NOUN
cana-6314	283	14	of	of	ADP
cana-6314	283	15	diabetes	diabetes	NOUN
cana-6314	283	16	using	use	VERB
cana-6314	283	17	machine	machine	NOUN
cana-6314	283	18	learning	learning	NOUN
cana-6314	283	19	.	.	PUNCT
cana-6314	284	1	int	int	NOUN
cana-6314	284	2	.	.	PUNCT
cana-6314	285	1	j.	j.	PROPN
cana-6314	285	2	emerg	emerg	PROPN
cana-6314	285	3	.	.	PUNCT
cana-6314	286	1	technol	technol	PROPN
cana-6314	286	2	.	.	PUNCT
cana-6314	286	3	innov	innov	PROPN
cana-6314	286	4	.	.	PUNCT
cana-6314	287	1	eng	eng	PROPN
cana-6314	287	2	.	.	PROPN
cana-6314	287	3	2019	2019	NUM
cana-6314	287	4	,	,	PUNCT
cana-6314	287	5	5	5	NUM
cana-6314	287	6	,	,	PUNCT
cana-6314	287	7	1–9	1–9	NOUN
cana-6314	287	8	.	.	PUNCT
cana-6314	288	1	[	[	X
cana-6314	288	2	21	21	NUM
cana-6314	288	3	]	]	X
cana-6314	288	4	khanam	khanam	PROPN
cana-6314	288	5	,	,	PUNCT
cana-6314	288	6	j.j	j.j	PROPN
cana-6314	288	7	.	.	PROPN
cana-6314	288	8	;	;	PUNCT
cana-6314	288	9	foo	foo	PROPN
cana-6314	288	10	,	,	PUNCT
cana-6314	288	11	s.y	s.y	PROPN
cana-6314	288	12	.	.	PUNCT
cana-6314	289	1	a	a	DET
cana-6314	289	2	comparison	comparison	NOUN
cana-6314	289	3	of	of	ADP
cana-6314	289	4	machine	machine	NOUN
cana-6314	289	5	learning	learn	VERB
cana-6314	289	6	algorithms	algorithm	NOUN
cana-6314	289	7	for	for	ADP
cana-6314	289	8	diabetes	diabetes	NOUN
cana-6314	289	9	prediction	prediction	NOUN
cana-6314	289	10	.	.	PUNCT
cana-6314	290	1	ict	ict	PROPN
cana-6314	290	2	express	express	VERB
cana-6314	290	3	2021	2021	NUM
cana-6314	290	4	,	,	PUNCT
cana-6314	290	5	7	7	NUM
cana-6314	290	6	,	,	PUNCT
cana-6314	290	7	432–439	432–439	NUM
cana-6314	290	8	.	.	PUNCT