id	sid	tid	token	lemma	pos
cana-1241	1	1	communications	communication	NOUN
cana-1241	1	2	on	on	ADP
cana-1241	1	3	applied	apply	VERB
cana-1241	1	4	nonlinear	nonlinear	ADJ
cana-1241	1	5	analysis	analysis	NOUN
cana-1241	1	6	issn	issn	NOUN
cana-1241	1	7	:	:	PUNCT
cana-1241	1	8	1074	1074	NUM
cana-1241	1	9	-	-	PUNCT
cana-1241	1	10	133x	133x	NUM
cana-1241	1	11	vol	vol	NOUN
cana-1241	1	12	31	31	NUM
cana-1241	1	13	no	no	NOUN
cana-1241	1	14	.	.	PUNCT
cana-1241	2	1	6s	6s	NUM
cana-1241	2	2	(	(	PUNCT
cana-1241	2	3	2024	2024	NUM
cana-1241	2	4	)	)	PUNCT
cana-1241	2	5	524	524	NUM
cana-1241	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	3	2	detection	detection	NOUN
cana-1241	3	3	of	of	ADP
cana-1241	3	4	ckd	ckd	PROPN
cana-1241	3	5	status	status	NOUN
cana-1241	3	6	using	use	VERB
cana-1241	3	7	feature	feature	NOUN
cana-1241	3	8	selection	selection	NOUN
cana-1241	3	9	approach	approach	NOUN
cana-1241	3	10	based	base	VERB
cana-1241	3	11	on	on	ADP
cana-1241	3	12	random	random	ADJ
cana-1241	3	13	forest	forest	NOUN
cana-1241	3	14	classifier	classifier	NOUN
cana-1241	3	15	shibi	shibi	PROPN
cana-1241	3	16	mathai1	mathai1	PROPN
cana-1241	3	17	,	,	PUNCT
cana-1241	3	18	dr	dr	PROPN
cana-1241	3	19	.	.	PROPN
cana-1241	3	20	k.s	k.s	PROPN
cana-1241	3	21	.	.	PROPN
cana-1241	3	22	thirunavukkarasu2	thirunavukkarasu2	PROPN
cana-1241	4	1	1ph.d	1ph.d	NUM
cana-1241	4	2	.	.	PROPN
cana-1241	4	3	,	,	PUNCT
cana-1241	4	4	scholar	scholar	NOUN
cana-1241	4	5	(	(	PUNCT
cana-1241	4	6	part	part	NOUN
cana-1241	4	7	-	-	PUNCT
cana-1241	4	8	time	time	NOUN
cana-1241	4	9	)	)	PUNCT
cana-1241	4	10	,	,	PUNCT
cana-1241	4	11	department	department	NOUN
cana-1241	4	12	of	of	ADP
cana-1241	4	13	computer	computer	NOUN
cana-1241	4	14	science	science	NOUN
cana-1241	4	15	,	,	PUNCT
cana-1241	4	16	vels	vels	PROPN
cana-1241	4	17	institute	institute	PROPN
cana-1241	4	18	of	of	ADP
cana-1241	4	19	science	science	NOUN
cana-1241	4	20	,	,	PUNCT
cana-1241	4	21	technology	technology	NOUN
cana-1241	4	22	and	and	CCONJ
cana-1241	4	23	advanced	advanced	ADJ
cana-1241	4	24	studies	study	NOUN
cana-1241	4	25	,	,	PUNCT
cana-1241	4	26	pallavaram	pallavaram	PROPN
cana-1241	4	27	,	,	PUNCT
cana-1241	4	28	chennai	chennai	PROPN
cana-1241	4	29	,	,	PUNCT
cana-1241	4	30	india	india	PROPN
cana-1241	4	31	,	,	PUNCT
cana-1241	4	32	shibimathai@gmail.com	shibimathai@gmail.com	X
cana-1241	5	1	2assistant	2assistant	NUM
cana-1241	5	2	professor	professor	NOUN
cana-1241	5	3	and	and	CCONJ
cana-1241	5	4	research	research	NOUN
cana-1241	5	5	supervisor	supervisor	NOUN
cana-1241	5	6	,	,	PUNCT
cana-1241	5	7	department	department	NOUN
cana-1241	5	8	of	of	ADP
cana-1241	5	9	computer	computer	NOUN
cana-1241	5	10	science	science	NOUN
cana-1241	5	11	,	,	PUNCT
cana-1241	5	12	vels	vels	PROPN
cana-1241	5	13	institute	institute	PROPN
cana-1241	5	14	of	of	ADP
cana-1241	5	15	science	science	NOUN
cana-1241	5	16	,	,	PUNCT
cana-1241	5	17	technology	technology	NOUN
cana-1241	5	18	and	and	CCONJ
cana-1241	5	19	advanced	advanced	ADJ
cana-1241	5	20	studies	study	NOUN
cana-1241	5	21	,	,	PUNCT
cana-1241	5	22	pallavaram	pallavaram	PROPN
cana-1241	5	23	,	,	PUNCT
cana-1241	5	24	chennai	chennai	PROPN
cana-1241	5	25	,	,	PUNCT
cana-1241	5	26	india	india	PROPN
cana-1241	5	27	,	,	PUNCT
cana-1241	5	28	thirukst@gmail.com	thirukst@gmail.com	X
cana-1241	6	1	article	article	NOUN
cana-1241	6	2	history	history	NOUN
cana-1241	6	3	:	:	PUNCT
cana-1241	6	4	received	receive	VERB
cana-1241	6	5	:	:	PUNCT
cana-1241	6	6	15	15	NUM
cana-1241	6	7	-	-	SYM
cana-1241	6	8	06	06	NUM
cana-1241	6	9	-	-	PUNCT
cana-1241	6	10	2024	2024	NUM
cana-1241	6	11	revised	revise	VERB
cana-1241	6	12	:	:	PUNCT
cana-1241	6	13	24	24	NUM
cana-1241	6	14	-	-	PUNCT
cana-1241	6	15	07	07	NUM
cana-1241	6	16	-	-	PUNCT
cana-1241	6	17	2024	2024	NUM
cana-1241	6	18	accepted	accept	VERB
cana-1241	6	19	:	:	PUNCT
cana-1241	6	20	06	06	NUM
cana-1241	6	21	-	-	SYM
cana-1241	6	22	08	08	NUM
cana-1241	6	23	-	-	PUNCT
cana-1241	6	24	2024	2024	NUM
cana-1241	6	25	abstract	abstract	NOUN
cana-1241	6	26	:	:	PUNCT
cana-1241	6	27	chronic	chronic	ADJ
cana-1241	6	28	kidney	kidney	NOUN
cana-1241	6	29	disease	disease	NOUN
cana-1241	6	30	(	(	PUNCT
cana-1241	6	31	ckd	ckd	NOUN
cana-1241	6	32	)	)	PUNCT
cana-1241	6	33	is	be	AUX
cana-1241	6	34	a	a	DET
cana-1241	6	35	serious	serious	ADJ
cana-1241	6	36	condition	condition	NOUN
cana-1241	6	37	that	that	PRON
cana-1241	6	38	can	can	AUX
cana-1241	6	39	last	last	VERB
cana-1241	6	40	a	a	DET
cana-1241	6	41	lifetime	lifetime	NOUN
cana-1241	6	42	occurs	occur	VERB
cana-1241	6	43	on	on	ADP
cana-1241	6	44	by	by	ADP
cana-1241	6	45	either	either	CCONJ
cana-1241	6	46	impaired	impaired	ADJ
cana-1241	6	47	kidney	kidney	NOUN
cana-1241	6	48	function	function	NOUN
cana-1241	6	49	or	or	CCONJ
cana-1241	6	50	kidney	kidney	NOUN
cana-1241	6	51	cancer	cancer	NOUN
cana-1241	6	52	.	.	PUNCT
cana-1241	7	1	with	with	ADP
cana-1241	7	2	ckd	ckd	PROPN
cana-1241	7	3	,	,	PUNCT
cana-1241	7	4	the	the	DET
cana-1241	7	5	kidneys	kidney	NOUN
cana-1241	7	6	are	be	AUX
cana-1241	7	7	unable	unable	ADJ
cana-1241	7	8	to	to	PART
cana-1241	7	9	filter	filter	VERB
cana-1241	7	10	blood	blood	NOUN
cana-1241	7	11	properly	properly	ADV
cana-1241	7	12	or	or	CCONJ
cana-1241	7	13	have	have	AUX
cana-1241	7	14	totally	totally	ADV
cana-1241	7	15	stopped	stop	VERB
cana-1241	7	16	functioning	function	VERB
cana-1241	7	17	,	,	PUNCT
cana-1241	7	18	which	which	PRON
cana-1241	7	19	results	result	VERB
cana-1241	7	20	in	in	ADP
cana-1241	7	21	the	the	DET
cana-1241	7	22	accumulation	accumulation	NOUN
cana-1241	7	23	of	of	ADP
cana-1241	7	24	toxins	toxin	NOUN
cana-1241	7	25	in	in	ADP
cana-1241	7	26	the	the	DET
cana-1241	7	27	bloodstream	bloodstream	NOUN
cana-1241	7	28	and	and	CCONJ
cana-1241	7	29	ultimately	ultimately	ADV
cana-1241	7	30	killing	kill	VERB
cana-1241	7	31	the	the	DET
cana-1241	7	32	patient	patient	NOUN
cana-1241	7	33	.	.	PUNCT
cana-1241	8	1	early	early	ADJ
cana-1241	8	2	detection	detection	NOUN
cana-1241	8	3	of	of	ADP
cana-1241	8	4	ckd	ckd	PROPN
cana-1241	8	5	is	be	AUX
cana-1241	8	6	probably	probably	ADV
cana-1241	8	7	impossible	impossible	ADJ
cana-1241	8	8	,	,	PUNCT
cana-1241	8	9	and	and	CCONJ
cana-1241	8	10	saving	save	VERB
cana-1241	8	11	a	a	DET
cana-1241	8	12	patient	patient	NOUN
cana-1241	8	13	's	's	PART
cana-1241	8	14	life	life	NOUN
cana-1241	8	15	in	in	ADP
cana-1241	8	16	the	the	DET
cana-1241	8	17	last	last	ADJ
cana-1241	8	18	stages	stage	NOUN
cana-1241	8	19	of	of	ADP
cana-1241	8	20	ckd	ckd	PROPN
cana-1241	8	21	is	be	AUX
cana-1241	8	22	extremely	extremely	ADV
cana-1241	8	23	challenging	challenging	ADJ
cana-1241	8	24	.	.	PUNCT
cana-1241	9	1	high	high	ADJ
cana-1241	9	2	variance	variance	NOUN
cana-1241	9	3	frequently	frequently	ADV
cana-1241	9	4	impedes	impede	VERB
cana-1241	9	5	clinical	clinical	ADJ
cana-1241	9	6	decision	decision	NOUN
cana-1241	9	7	-	-	PUNCT
cana-1241	9	8	making	making	NOUN
cana-1241	9	9	in	in	ADP
cana-1241	9	10	the	the	DET
cana-1241	9	11	prognosis	prognosis	NOUN
cana-1241	9	12	of	of	ADP
cana-1241	9	13	chronic	chronic	ADJ
cana-1241	9	14	disorders	disorder	NOUN
cana-1241	9	15	,	,	PUNCT
cana-1241	9	16	resulting	result	VERB
cana-1241	9	17	in	in	ADP
cana-1241	9	18	ambiguity	ambiguity	NOUN
cana-1241	9	19	and	and	CCONJ
cana-1241	9	20	unfavorable	unfavorable	ADJ
cana-1241	9	21	outcomes	outcome	NOUN
cana-1241	9	22	,	,	PUNCT
cana-1241	9	23	particularly	particularly	ADV
cana-1241	9	24	in	in	ADP
cana-1241	9	25	situations	situation	NOUN
cana-1241	9	26	like	like	ADP
cana-1241	9	27	ckd	ckd	PROPN
cana-1241	9	28	.	.	PUNCT
cana-1241	10	1	early	early	ADJ
cana-1241	10	2	identification	identification	NOUN
cana-1241	10	3	and	and	CCONJ
cana-1241	10	4	suitable	suitable	ADJ
cana-1241	10	5	treatment	treatment	NOUN
cana-1241	10	6	can	can	AUX
cana-1241	10	7	raise	raise	VERB
cana-1241	10	8	this	this	DET
cana-1241	10	9	risk	risk	NOUN
cana-1241	10	10	.	.	PUNCT
cana-1241	11	1	techniques	technique	NOUN
cana-1241	11	2	for	for	ADP
cana-1241	11	3	machine	machine	NOUN
cana-1241	11	4	learning	learning	NOUN
cana-1241	11	5	(	(	PUNCT
cana-1241	11	6	ml	ml	NOUN
cana-1241	11	7	)	)	PUNCT
cana-1241	11	8	have	have	AUX
cana-1241	11	9	become	become	VERB
cana-1241	11	10	important	important	ADJ
cana-1241	11	11	instruments	instrument	NOUN
cana-1241	11	12	for	for	ADP
cana-1241	11	13	improving	improve	VERB
cana-1241	11	14	clinical	clinical	ADJ
cana-1241	11	15	decision	decision	NOUN
cana-1241	11	16	-	-	PUNCT
cana-1241	11	17	making	make	VERB
cana-1241	11	18	and	and	CCONJ
cana-1241	11	19	lowering	lower	VERB
cana-1241	11	20	unpredictability	unpredictability	NOUN
cana-1241	11	21	.	.	PUNCT
cana-1241	12	1	however	however	ADV
cana-1241	12	2	,	,	PUNCT
cana-1241	12	3	because	because	SCONJ
cana-1241	12	4	they	they	PRON
cana-1241	12	5	rely	rely	VERB
cana-1241	12	6	on	on	ADP
cana-1241	12	7	a	a	DET
cana-1241	12	8	small	small	ADJ
cana-1241	12	9	number	number	NOUN
cana-1241	12	10	of	of	ADP
cana-1241	12	11	biological	biological	ADJ
cana-1241	12	12	characteristics	characteristic	NOUN
cana-1241	12	13	,	,	PUNCT
cana-1241	12	14	current	current	ADJ
cana-1241	12	15	approaches	approach	NOUN
cana-1241	12	16	for	for	ADP
cana-1241	12	17	ckd	ckd	NOUN
cana-1241	12	18	identification	identification	NOUN
cana-1241	12	19	frequently	frequently	ADV
cana-1241	12	20	lack	lack	VERB
cana-1241	12	21	accuracy	accuracy	NOUN
cana-1241	12	22	.	.	PUNCT
cana-1241	13	1	this	this	DET
cana-1241	13	2	study	study	NOUN
cana-1241	13	3	investigates	investigate	VERB
cana-1241	13	4	creatinine	creatinine	NOUN
cana-1241	13	5	levels	level	NOUN
cana-1241	13	6	by	by	ADP
cana-1241	13	7	assessing	assess	VERB
cana-1241	13	8	estimated	estimate	VERB
cana-1241	13	9	glomerular	glomerular	ADJ
cana-1241	13	10	filtration	filtration	NOUN
cana-1241	13	11	rate	rate	NOUN
cana-1241	13	12	(	(	PUNCT
cana-1241	13	13	egfr	egfr	X
cana-1241	13	14	)	)	PUNCT
cana-1241	13	15	and	and	CCONJ
cana-1241	13	16	blood	blood	NOUN
cana-1241	13	17	urea	urea	NOUN
cana-1241	13	18	nitrogen	nitrogen	PROPN
cana-1241	13	19	(	(	PUNCT
cana-1241	13	20	bun	bun	NOUN
cana-1241	13	21	)	)	PUNCT
cana-1241	13	22	derived	derive	VERB
cana-1241	13	23	from	from	ADP
cana-1241	13	24	serum	serum	NOUN
cana-1241	13	25	creatinine	creatinine	NOUN
cana-1241	13	26	through	through	ADP
cana-1241	13	27	indirect	indirect	ADJ
cana-1241	13	28	measurement	measurement	NOUN
cana-1241	13	29	using	use	VERB
cana-1241	13	30	the	the	DET
cana-1241	13	31	dataset	dataset	NOUN
cana-1241	13	32	's	's	PART
cana-1241	13	33	available	available	ADJ
cana-1241	13	34	attributes	attribute	NOUN
cana-1241	13	35	.	.	PUNCT
cana-1241	14	1	the	the	DET
cana-1241	14	2	dataset	dataset	NOUN
cana-1241	14	3	comprises	comprise	VERB
cana-1241	14	4	28	28	NUM
cana-1241	14	5	attributes	attribute	NOUN
cana-1241	14	6	,	,	PUNCT
cana-1241	14	7	including	include	VERB
cana-1241	14	8	"	"	PUNCT
cana-1241	14	9	gender	gender	NOUN
cana-1241	14	10	,	,	PUNCT
cana-1241	14	11	"	"	PUNCT
cana-1241	14	12	and	and	CCONJ
cana-1241	14	13	encompasses	encompass	VERB
cana-1241	14	14	a	a	DET
cana-1241	14	15	total	total	NOUN
cana-1241	14	16	of	of	ADP
cana-1241	14	17	523	523	NUM
cana-1241	14	18	records	record	NOUN
cana-1241	14	19	.	.	PUNCT
cana-1241	15	1	this	this	DET
cana-1241	15	2	research	research	NOUN
cana-1241	15	3	work	work	NOUN
cana-1241	15	4	suggests	suggest	VERB
cana-1241	15	5	label	label	NOUN
cana-1241	15	6	encoder	encoder	NOUN
cana-1241	15	7	,	,	PUNCT
cana-1241	15	8	hot	hot	ADJ
cana-1241	15	9	encoder	encoder	NOUN
cana-1241	15	10	,	,	PUNCT
cana-1241	15	11	standard	standard	ADJ
cana-1241	15	12	scaler	scaler	NOUN
cana-1241	15	13	,	,	PUNCT
cana-1241	15	14	and	and	CCONJ
cana-1241	15	15	iterative	iterative	NOUN
cana-1241	15	16	imputation	imputation	NOUN
cana-1241	15	17	for	for	ADP
cana-1241	15	18	missing	miss	VERB
cana-1241	15	19	values	value	NOUN
cana-1241	15	20	as	as	ADP
cana-1241	15	21	preprocessing	preprocesse	VERB
cana-1241	15	22	techniques	technique	NOUN
cana-1241	15	23	to	to	PART
cana-1241	15	24	solve	solve	VERB
cana-1241	15	25	issues	issue	NOUN
cana-1241	15	26	in	in	ADP
cana-1241	15	27	medical	medical	ADJ
cana-1241	15	28	datasets	dataset	NOUN
cana-1241	15	29	.	.	PUNCT
cana-1241	16	1	the	the	DET
cana-1241	16	2	boruta	boruta	NOUN
cana-1241	16	3	method	method	NOUN
cana-1241	16	4	is	be	AUX
cana-1241	16	5	used	use	VERB
cana-1241	16	6	for	for	ADP
cana-1241	16	7	feature	feature	NOUN
cana-1241	16	8	selection	selection	NOUN
cana-1241	16	9	,	,	PUNCT
cana-1241	16	10	and	and	CCONJ
cana-1241	16	11	ml	ml	ADP
cana-1241	16	12	algorithms	algorithm	NOUN
cana-1241	16	13	are	be	AUX
cana-1241	16	14	utilized	utilize	VERB
cana-1241	16	15	to	to	PART
cana-1241	16	16	create	create	VERB
cana-1241	16	17	the	the	DET
cana-1241	16	18	model	model	NOUN
cana-1241	16	19	.	.	PUNCT
cana-1241	17	1	this	this	DET
cana-1241	17	2	prediction	prediction	NOUN
cana-1241	17	3	analysis	analysis	NOUN
cana-1241	17	4	involved	involve	VERB
cana-1241	17	5	egfr	egfr	NOUN
cana-1241	17	6	and	and	CCONJ
cana-1241	17	7	bun	bun	PROPN
cana-1241	17	8	computing	compute	VERB
cana-1241	17	9	values	value	NOUN
cana-1241	17	10	for	for	ADP
cana-1241	17	11	assist	assist	NOUN
cana-1241	17	12	in	in	ADP
cana-1241	17	13	providing	provide	VERB
cana-1241	17	14	an	an	DET
cana-1241	17	15	accurate	accurate	ADJ
cana-1241	17	16	classification	classification	NOUN
cana-1241	17	17	of	of	ADP
cana-1241	17	18	ckd	ckd	PROPN
cana-1241	17	19	and	and	CCONJ
cana-1241	17	20	non	non	ADJ
cana-1241	17	21	-	-	ADJ
cana-1241	17	22	ckd	ckd	ADJ
cana-1241	17	23	status	status	NOUN
cana-1241	17	24	using	use	VERB
cana-1241	17	25	proposed	propose	VERB
cana-1241	17	26	boruta	boruta	NOUN
cana-1241	17	27	feature	feature	NOUN
cana-1241	17	28	selection	selection	NOUN
cana-1241	17	29	(	(	PUNCT
cana-1241	17	30	bfs	bfs	NOUN
cana-1241	17	31	)	)	PUNCT
cana-1241	17	32	technique	technique	NOUN
cana-1241	17	33	with	with	ADP
cana-1241	17	34	ensemble	ensemble	ADJ
cana-1241	17	35	based	base	VERB
cana-1241	17	36	random	random	ADJ
cana-1241	17	37	forest	forest	NOUN
cana-1241	17	38	classifier	classifier	NOUN
cana-1241	17	39	(	(	PUNCT
cana-1241	17	40	erfc	erfc	PROPN
cana-1241	17	41	)	)	PUNCT
cana-1241	17	42	.	.	PUNCT
cana-1241	18	1	moreover	moreover	ADV
cana-1241	18	2	,	,	PUNCT
cana-1241	18	3	the	the	DET
cana-1241	18	4	performance	performance	NOUN
cana-1241	18	5	evaluation	evaluation	NOUN
cana-1241	18	6	of	of	ADP
cana-1241	18	7	proposed	propose	VERB
cana-1241	18	8	bfs	bfs	PROPN
cana-1241	18	9	-	-	PUNCT
cana-1241	18	10	erfc	erfc	NOUN
cana-1241	18	11	model	model	NOUN
cana-1241	18	12	is	be	AUX
cana-1241	18	13	compared	compare	VERB
cana-1241	18	14	with	with	ADP
cana-1241	18	15	radom	radom	NOUN
cana-1241	18	16	weighted	weight	VERB
cana-1241	18	17	optimization	optimization	NOUN
cana-1241	18	18	(	(	PUNCT
cana-1241	18	19	rwo	rwo	PROPN
cana-1241	18	20	)	)	PUNCT
cana-1241	18	21	with	with	ADP
cana-1241	18	22	neural	neural	ADJ
cana-1241	18	23	network	network	NOUN
cana-1241	18	24	(	(	PUNCT
cana-1241	18	25	nn	nn	PROPN
cana-1241	18	26	)	)	PUNCT
cana-1241	18	27	,	,	PUNCT
cana-1241	18	28	rwo	rwo	X
cana-1241	18	29	with	with	ADP
cana-1241	18	30	logistic	logistic	ADJ
cana-1241	18	31	regression	regression	NOUN
cana-1241	18	32	(	(	PUNCT
cana-1241	18	33	lr	lr	NOUN
cana-1241	18	34	)	)	PUNCT
cana-1241	18	35	and	and	CCONJ
cana-1241	18	36	erfc	erfc	NOUN
cana-1241	18	37	for	for	ADP
cana-1241	18	38	evaluating	evaluate	VERB
cana-1241	18	39	the	the	DET
cana-1241	18	40	patient	patient	NOUN
cana-1241	18	41	's	's	PART
cana-1241	18	42	medical	medical	ADJ
cana-1241	18	43	records	record	NOUN
cana-1241	18	44	to	to	PART
cana-1241	18	45	determine	determine	VERB
cana-1241	18	46	the	the	DET
cana-1241	18	47	improved	improved	ADJ
cana-1241	18	48	classification	classification	NOUN
cana-1241	18	49	status	status	NOUN
cana-1241	18	50	of	of	ADP
cana-1241	18	51	ckd	ckd	PROPN
cana-1241	18	52	.	.	PUNCT
cana-1241	19	1	keywords	keyword	NOUN
cana-1241	19	2	:	:	PUNCT
cana-1241	19	3	chronic	chronic	ADJ
cana-1241	19	4	kidney	kidney	NOUN
cana-1241	19	5	disease	disease	NOUN
cana-1241	19	6	(	(	PUNCT
cana-1241	19	7	ckd	ckd	PROPN
cana-1241	19	8	)	)	PUNCT
cana-1241	19	9	,	,	PUNCT
cana-1241	19	10	boruta	boruta	NOUN
cana-1241	19	11	feature	feature	NOUN
cana-1241	19	12	selection	selection	NOUN
cana-1241	19	13	,	,	PUNCT
cana-1241	19	14	random	random	ADJ
cana-1241	19	15	forest	forest	NOUN
cana-1241	19	16	classifier	classifier	NOUN
cana-1241	19	17	,	,	PUNCT
cana-1241	19	18	detection	detection	NOUN
cana-1241	19	19	,	,	PUNCT
cana-1241	19	20	stages	stage	NOUN
cana-1241	19	21	1	1	NUM
cana-1241	19	22	.	.	PUNCT
cana-1241	20	1	introduction	introduction	NOUN
cana-1241	20	2	ckd	ckd	PROPN
cana-1241	20	3	is	be	AUX
cana-1241	20	4	a	a	DET
cana-1241	20	5	serious	serious	ADJ
cana-1241	20	6	threat	threat	NOUN
cana-1241	20	7	to	to	ADP
cana-1241	20	8	a	a	DET
cana-1241	20	9	person	person	NOUN
cana-1241	20	10	's	's	PART
cana-1241	20	11	general	general	ADJ
cana-1241	20	12	quality	quality	NOUN
cana-1241	20	13	of	of	ADP
cana-1241	20	14	life	life	NOUN
cana-1241	20	15	as	as	ADV
cana-1241	20	16	well	well	ADV
cana-1241	20	17	as	as	ADP
cana-1241	20	18	their	their	PRON
cana-1241	20	19	physical	physical	ADJ
cana-1241	20	20	health	health	NOUN
cana-1241	20	21	.	.	PUNCT
cana-1241	21	1	treatment	treatment	NOUN
cana-1241	21	2	for	for	ADP
cana-1241	21	3	the	the	DET
cana-1241	21	4	resulting	result	VERB
cana-1241	21	5	consequences	consequence	NOUN
cana-1241	21	6	is	be	AUX
cana-1241	21	7	achievable	achievable	ADJ
cana-1241	21	8	when	when	SCONJ
cana-1241	21	9	the	the	DET
cana-1241	21	10	gfr	gfr	NOUN
cana-1241	21	11	declines	decline	VERB
cana-1241	21	12	,	,	PUNCT
cana-1241	21	13	which	which	PRON
cana-1241	21	14	can	can	AUX
cana-1241	21	15	lower	lower	VERB
cana-1241	21	16	the	the	DET
cana-1241	21	17	risk	risk	NOUN
cana-1241	21	18	of	of	ADP
cana-1241	21	19	cardiovascular	cardiovascular	ADJ
cana-1241	21	20	disease	disease	NOUN
cana-1241	21	21	development	development	NOUN
cana-1241	21	22	and	and	CCONJ
cana-1241	21	23	increase	increase	VERB
cana-1241	21	24	survival	survival	NOUN
cana-1241	21	25	rates	rate	NOUN
cana-1241	21	26	.	.	PUNCT
cana-1241	22	1	regularly	regularly	ADV
cana-1241	22	2	scheduled	schedule	VERB
cana-1241	22	3	laboratory	laboratory	NOUN
cana-1241	22	4	testing	testing	NOUN
cana-1241	22	5	can	can	AUX
cana-1241	22	6	serve	serve	VERB
cana-1241	22	7	the	the	DET
cana-1241	22	8	dual	dual	ADJ
cana-1241	22	9	purpose	purpose	NOUN
cana-1241	22	10	of	of	ADP
cana-1241	22	11	diagnosing	diagnose	VERB
cana-1241	22	12	and	and	CCONJ
cana-1241	22	13	treating	treat	VERB
cana-1241	22	14	chronic	chronic	ADJ
cana-1241	22	15	renal	renal	ADJ
cana-1241	22	16	disease	disease	NOUN
cana-1241	22	17	.	.	PUNCT
cana-1241	23	1	treatments	treatment	NOUN
cana-1241	23	2	for	for	ADP
cana-1241	23	3	reduced	reduced	ADJ
cana-1241	23	4	gfr	gfr	NOUN
cana-1241	23	5	and	and	CCONJ
cana-1241	23	6	associated	associated	ADJ
cana-1241	23	7	consequences	consequence	NOUN
cana-1241	23	8	can	can	AUX
cana-1241	23	9	postpone	postpone	VERB
cana-1241	23	10	,	,	PUNCT
cana-1241	23	11	halt	halt	NOUN
cana-1241	23	12	,	,	PUNCT
cana-1241	23	13	or	or	CCONJ
cana-1241	23	14	even	even	ADV
cana-1241	23	15	completely	completely	ADV
cana-1241	23	16	avoid	avoid	VERB
cana-1241	23	17	the	the	DET
cana-1241	23	18	disease	disease	NOUN
cana-1241	23	19	.	.	PUNCT
cana-1241	24	1	a	a	DET
cana-1241	24	2	number	number	NOUN
cana-1241	24	3	communications	communication	NOUN
cana-1241	24	4	on	on	ADP
cana-1241	24	5	applied	apply	VERB
cana-1241	24	6	nonlinear	nonlinear	ADJ
cana-1241	24	7	analysis	analysis	NOUN
cana-1241	24	8	issn	issn	NOUN
cana-1241	24	9	:	:	PUNCT
cana-1241	24	10	1074	1074	NUM
cana-1241	24	11	-	-	PUNCT
cana-1241	24	12	133x	133x	NUM
cana-1241	24	13	vol	vol	NOUN
cana-1241	24	14	31	31	NUM
cana-1241	24	15	no	no	NOUN
cana-1241	24	16	.	.	PUNCT
cana-1241	25	1	6s	6s	NUM
cana-1241	25	2	(	(	PUNCT
cana-1241	25	3	2024	2024	NUM
cana-1241	25	4	)	)	PUNCT
cana-1241	25	5	525	525	NUM
cana-1241	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	25	7	of	of	ADP
cana-1241	25	8	risk	risk	NOUN
cana-1241	25	9	factors	factor	NOUN
cana-1241	25	10	,	,	PUNCT
cana-1241	25	11	including	include	VERB
cana-1241	25	12	smoking	smoking	NOUN
cana-1241	25	13	,	,	PUNCT
cana-1241	25	14	adopting	adopt	VERB
cana-1241	25	15	bad	bad	ADJ
cana-1241	25	16	eating	eating	NOUN
cana-1241	25	17	habits	habit	NOUN
cana-1241	25	18	,	,	PUNCT
cana-1241	25	19	not	not	PART
cana-1241	25	20	getting	get	VERB
cana-1241	25	21	enough	enough	ADJ
cana-1241	25	22	sleep	sleep	NOUN
cana-1241	25	23	,	,	PUNCT
cana-1241	25	24	and	and	CCONJ
cana-1241	25	25	not	not	PART
cana-1241	25	26	managing	manage	VERB
cana-1241	25	27	one	one	NUM
cana-1241	25	28	's	's	PART
cana-1241	25	29	weight	weight	NOUN
cana-1241	25	30	,	,	PUNCT
cana-1241	25	31	can	can	AUX
cana-1241	25	32	contribute	contribute	VERB
cana-1241	25	33	to	to	ADP
cana-1241	25	34	the	the	DET
cana-1241	25	35	development	development	NOUN
cana-1241	25	36	of	of	ADP
cana-1241	25	37	ckd	ckd	PROPN
cana-1241	25	38	.	.	PUNCT
cana-1241	26	1	over	over	ADP
cana-1241	26	2	700	700	NUM
cana-1241	26	3	million	million	NUM
cana-1241	26	4	individuals	individual	NOUN
cana-1241	26	5	worldwide	worldwide	ADV
cana-1241	26	6	were	be	AUX
cana-1241	26	7	afflicted	afflict	VERB
cana-1241	26	8	by	by	ADP
cana-1241	26	9	this	this	DET
cana-1241	26	10	illness	illness	NOUN
cana-1241	26	11	in	in	ADP
cana-1241	26	12	2016	2016	NUM
cana-1241	26	13	.	.	PUNCT
cana-1241	27	1	as	as	SCONJ
cana-1241	27	2	the	the	DET
cana-1241	27	3	illness	illness	NOUN
cana-1241	27	4	progresses	progress	VERB
cana-1241	27	5	,	,	PUNCT
cana-1241	27	6	kidney	kidney	NOUN
cana-1241	27	7	failure	failure	NOUN
cana-1241	27	8	could	could	AUX
cana-1241	27	9	occur	occur	VERB
cana-1241	27	10	.	.	PUNCT
cana-1241	28	1	the	the	DET
cana-1241	28	2	current	current	ADJ
cana-1241	28	3	diagnostic	diagnostic	ADJ
cana-1241	28	4	procedure	procedure	NOUN
cana-1241	28	5	involves	involve	VERB
cana-1241	28	6	assessing	assess	VERB
cana-1241	28	7	creatinine	creatinine	NOUN
cana-1241	28	8	levels	level	NOUN
cana-1241	28	9	through	through	ADP
cana-1241	28	10	serum	serum	NOUN
cana-1241	28	11	and	and	CCONJ
cana-1241	28	12	urine	urine	NOUN
cana-1241	28	13	analysis	analysis	NOUN
cana-1241	28	14	.	.	PUNCT
cana-1241	29	1	this	this	PRON
cana-1241	29	2	is	be	AUX
cana-1241	29	3	achieved	achieve	VERB
cana-1241	29	4	by	by	ADP
cana-1241	29	5	employing	employ	VERB
cana-1241	29	6	a	a	DET
cana-1241	29	7	variety	variety	NOUN
cana-1241	29	8	of	of	ADP
cana-1241	29	9	medical	medical	ADJ
cana-1241	29	10	techniques	technique	NOUN
cana-1241	29	11	,	,	PUNCT
cana-1241	29	12	some	some	PRON
cana-1241	29	13	of	of	ADP
cana-1241	29	14	which	which	PRON
cana-1241	29	15	include	include	VERB
cana-1241	29	16	ultrasound	ultrasound	NOUN
cana-1241	29	17	and	and	CCONJ
cana-1241	29	18	screening	screen	VERB
cana-1241	29	19	techniques	technique	NOUN
cana-1241	29	20	[	[	X
cana-1241	29	21	1	1	NUM
cana-1241	29	22	]	]	PUNCT
cana-1241	29	23	.	.	PUNCT
cana-1241	30	1	before	before	ADP
cana-1241	30	2	undergoing	undergo	VERB
cana-1241	30	3	any	any	DET
cana-1241	30	4	testing	testing	NOUN
cana-1241	30	5	,	,	PUNCT
cana-1241	30	6	a	a	DET
cana-1241	30	7	patient	patient	NOUN
cana-1241	30	8	is	be	AUX
cana-1241	30	9	examined	examine	VERB
cana-1241	30	10	for	for	ADP
cana-1241	30	11	prior	prior	ADJ
cana-1241	30	12	history	history	NOUN
cana-1241	30	13	,	,	PUNCT
cana-1241	30	14	hypertension	hypertension	NOUN
cana-1241	30	15	,	,	PUNCT
cana-1241	30	16	current	current	ADJ
cana-1241	30	17	condition	condition	NOUN
cana-1241	30	18	,	,	PUNCT
cana-1241	30	19	and	and	CCONJ
cana-1241	30	20	history	history	NOUN
cana-1241	30	21	of	of	ADP
cana-1241	30	22	renal	renal	ADJ
cana-1241	30	23	disease	disease	NOUN
cana-1241	30	24	.	.	PUNCT
cana-1241	31	1	using	use	VERB
cana-1241	31	2	this	this	DET
cana-1241	31	3	method	method	NOUN
cana-1241	31	4	,	,	PUNCT
cana-1241	31	5	gfr	gfr	NOUN
cana-1241	31	6	may	may	AUX
cana-1241	31	7	be	be	AUX
cana-1241	31	8	estimated	estimate	VERB
cana-1241	31	9	from	from	ADP
cana-1241	31	10	the	the	DET
cana-1241	31	11	model	model	NOUN
cana-1241	31	12	's	's	PART
cana-1241	31	13	serum	serum	NOUN
cana-1241	31	14	creatinine	creatinine	NOUN
cana-1241	31	15	level	level	NOUN
cana-1241	31	16	and	and	CCONJ
cana-1241	31	17	the	the	DET
cana-1241	31	18	albumin	albumin	NOUN
cana-1241	31	19	to	to	ADP
cana-1241	31	20	creatinine	creatinine	NOUN
cana-1241	31	21	ratio	ratio	NOUN
cana-1241	31	22	(	(	PUNCT
cana-1241	31	23	acr	acr	PROPN
cana-1241	31	24	)	)	PUNCT
cana-1241	31	25	taken	take	VERB
cana-1241	31	26	from	from	ADP
cana-1241	31	27	a	a	DET
cana-1241	31	28	morning	morning	NOUN
cana-1241	31	29	urine	urine	NOUN
cana-1241	31	30	sample	sample	NOUN
cana-1241	31	31	.	.	PUNCT
cana-1241	32	1	following	follow	VERB
cana-1241	32	2	are	be	AUX
cana-1241	32	3	the	the	DET
cana-1241	32	4	five	five	NUM
cana-1241	32	5	stages	stage	NOUN
cana-1241	32	6	of	of	ADP
cana-1241	32	7	ckd	ckd	NOUN
cana-1241	32	8	:	:	PUNCT
cana-1241	32	9	•	•	NUM
cana-1241	32	10	first	first	ADJ
cana-1241	32	11	stage	stage	NOUN
cana-1241	32	12	where	where	SCONJ
cana-1241	32	13	gfr	gfr	PROPN
cana-1241	32	14	>	>	X
cana-1241	32	15	90	90	NUM
cana-1241	32	16	ml	ml	NOUN
cana-1241	32	17	/	/	SYM
cana-1241	32	18	min	min	NOUN
cana-1241	32	19	,	,	PUNCT
cana-1241	32	20	either	either	CCONJ
cana-1241	32	21	normal	normal	ADJ
cana-1241	32	22	or	or	CCONJ
cana-1241	32	23	high	high	ADJ
cana-1241	32	24	•	•	ADJ
cana-1241	32	25	mild	mild	ADJ
cana-1241	32	26	ckd	ckd	NOUN
cana-1241	32	27	second	second	ADJ
cana-1241	32	28	stage	stage	NOUN
cana-1241	32	29	where	where	SCONJ
cana-1241	32	30	gfr	gfr	NOUN
cana-1241	32	31	is	be	AUX
cana-1241	32	32	between	between	ADP
cana-1241	32	33	60–89	60–89	NUM
cana-1241	32	34	ml	ml	NOUN
cana-1241	32	35	/	/	SYM
cana-1241	32	36	min	min	PROPN
cana-1241	32	37	•	•	PROPN
cana-1241	33	1	moderate	moderate	PROPN
cana-1241	33	2	ckd	ckd	PROPN
cana-1241	33	3	third	third	ADJ
cana-1241	33	4	stage	stage	NOUN
cana-1241	33	5	where	where	SCONJ
cana-1241	33	6	gfr	gfr	NOUN
cana-1241	33	7	is	be	AUX
cana-1241	33	8	between	between	ADP
cana-1241	33	9	30	30	NUM
cana-1241	33	10	-	-	SYM
cana-1241	33	11	59	59	NUM
cana-1241	33	12	ml	ml	NOUN
cana-1241	33	13	/	/	SYM
cana-1241	33	14	min	min	NOUN
cana-1241	33	15	•	•	ADJ
cana-1241	33	16	severe	severe	ADJ
cana-1241	33	17	ckd	ckd	PROPN
cana-1241	33	18	fourth	fourth	ADJ
cana-1241	33	19	stage	stage	NOUN
cana-1241	33	20	where	where	SCONJ
cana-1241	33	21	gfr	gfr	NOUN
cana-1241	33	22	is	be	AUX
cana-1241	33	23	between	between	ADP
cana-1241	33	24	15–29	15–29	NUM
cana-1241	33	25	ml	ml	NOUN
cana-1241	33	26	/	/	SYM
cana-1241	33	27	min	min	NOUN
cana-1241	33	28	•	•	ADJ
cana-1241	33	29	final	final	ADJ
cana-1241	33	30	phase	phase	NOUN
cana-1241	33	31	:	:	PUNCT
cana-1241	33	32	final	final	ADJ
cana-1241	33	33	stage	stage	NOUN
cana-1241	33	34	where	where	SCONJ
cana-1241	33	35	gfr<15	gfr<15	NOUN
cana-1241	33	36	ml	ml	AUX
cana-1241	33	37	/	/	SYM
cana-1241	33	38	min	min	NOUN
cana-1241	33	39	the	the	DET
cana-1241	33	40	condition	condition	NOUN
cana-1241	33	41	known	know	VERB
cana-1241	33	42	as	as	ADP
cana-1241	33	43	ckd	ckd	PROPN
cana-1241	33	44	causes	cause	VERB
cana-1241	33	45	the	the	DET
cana-1241	33	46	kidneys	kidney	NOUN
cana-1241	33	47	'	'	PART
cana-1241	33	48	ability	ability	NOUN
cana-1241	33	49	to	to	PART
cana-1241	33	50	function	function	VERB
cana-1241	33	51	to	to	PART
cana-1241	33	52	steadily	steadily	ADV
cana-1241	33	53	deteriorate	deteriorate	VERB
cana-1241	33	54	over	over	ADP
cana-1241	33	55	time	time	NOUN
cana-1241	33	56	.	.	PUNCT
cana-1241	34	1	an	an	DET
cana-1241	34	2	estimated	estimate	VERB
cana-1241	34	3	14	14	NUM
cana-1241	34	4	%	%	NOUN
cana-1241	34	5	of	of	ADP
cana-1241	34	6	people	people	NOUN
cana-1241	34	7	are	be	AUX
cana-1241	34	8	thought	think	VERB
cana-1241	34	9	to	to	PART
cana-1241	34	10	be	be	AUX
cana-1241	34	11	affected	affect	VERB
cana-1241	34	12	by	by	ADP
cana-1241	34	13	chronic	chronic	ADJ
cana-1241	34	14	renal	renal	ADJ
cana-1241	34	15	disease	disease	NOUN
cana-1241	34	16	[	[	X
cana-1241	34	17	2	2	NUM
cana-1241	34	18	]	]	PUNCT
cana-1241	34	19	.	.	PUNCT
cana-1241	35	1	this	this	PRON
cana-1241	35	2	is	be	AUX
cana-1241	35	3	true	true	ADJ
cana-1241	35	4	as	as	SCONJ
cana-1241	35	5	more	more	ADJ
cana-1241	35	6	than	than	ADP
cana-1241	35	7	1.5	1.5	NUM
cana-1241	35	8	million	million	NUM
cana-1241	35	9	people	people	NOUN
cana-1241	35	10	need	need	VERB
cana-1241	35	11	dialysis	dialysis	NOUN
cana-1241	35	12	due	due	ADJ
cana-1241	35	13	to	to	ADP
cana-1241	35	14	renal	renal	ADJ
cana-1241	35	15	failure	failure	NOUN
cana-1241	35	16	or	or	CCONJ
cana-1241	35	17	kidney	kidney	NOUN
cana-1241	35	18	transplants	transplant	NOUN
cana-1241	35	19	.	.	PUNCT
cana-1241	36	1	numerous	numerous	ADJ
cana-1241	36	2	body	body	NOUN
cana-1241	36	3	processes	process	NOUN
cana-1241	36	4	,	,	PUNCT
cana-1241	36	5	such	such	ADJ
cana-1241	36	6	as	as	ADP
cana-1241	36	7	the	the	DET
cana-1241	36	8	blood	blood	NOUN
cana-1241	36	9	pressure	pressure	NOUN
cana-1241	36	10	,	,	PUNCT
cana-1241	36	11	synthesis	synthesis	NOUN
cana-1241	36	12	of	of	ADP
cana-1241	36	13	red	red	ADJ
cana-1241	36	14	blood	blood	NOUN
cana-1241	36	15	cells	cell	NOUN
cana-1241	36	16	and	and	CCONJ
cana-1241	36	17	calcium	calcium	NOUN
cana-1241	36	18	metabolism	metabolism	NOUN
cana-1241	36	19	,	,	PUNCT
cana-1241	36	20	are	be	AUX
cana-1241	36	21	regulated	regulate	VERB
cana-1241	36	22	by	by	ADP
cana-1241	36	23	a	a	DET
cana-1241	36	24	hormone	hormone	NOUN
cana-1241	36	25	that	that	PRON
cana-1241	36	26	the	the	DET
cana-1241	36	27	kidneys	kidney	NOUN
cana-1241	36	28	manufacture	manufacture	VERB
cana-1241	36	29	.	.	PUNCT
cana-1241	37	1	a	a	DET
cana-1241	37	2	number	number	NOUN
cana-1241	37	3	of	of	ADP
cana-1241	37	4	variables	variable	NOUN
cana-1241	37	5	can	can	AUX
cana-1241	37	6	influence	influence	VERB
cana-1241	37	7	egfr	egfr	NOUN
cana-1241	37	8	which	which	PRON
cana-1241	37	9	include	include	VERB
cana-1241	37	10	gender	gender	NOUN
cana-1241	37	11	,	,	PUNCT
cana-1241	37	12	age	age	NOUN
cana-1241	37	13	and	and	CCONJ
cana-1241	37	14	creatinine	creatinine	NOUN
cana-1241	37	15	levels	level	NOUN
cana-1241	37	16	.	.	PUNCT
cana-1241	38	1	the	the	DET
cana-1241	38	2	main	main	ADJ
cana-1241	38	3	indicator	indicator	NOUN
cana-1241	38	4	for	for	ADP
cana-1241	38	5	ckd	ckd	PROPN
cana-1241	38	6	stage	stage	NOUN
cana-1241	38	7	classification	classification	NOUN
cana-1241	38	8	is	be	AUX
cana-1241	38	9	egfr	egfr	ADJ
cana-1241	38	10	.	.	PUNCT
cana-1241	39	1	the	the	DET
cana-1241	39	2	kidneys	kidney	NOUN
cana-1241	39	3	go	go	VERB
cana-1241	39	4	through	through	ADP
cana-1241	39	5	five	five	NUM
cana-1241	39	6	different	different	ADJ
cana-1241	39	7	phases	phase	NOUN
cana-1241	39	8	of	of	ADP
cana-1241	39	9	function	function	NOUN
cana-1241	39	10	.	.	PUNCT
cana-1241	40	1	still	still	ADV
cana-1241	40	2	,	,	PUNCT
cana-1241	40	3	the	the	DET
cana-1241	40	4	great	great	ADJ
cana-1241	40	5	majority	majority	NOUN
cana-1241	40	6	of	of	ADP
cana-1241	40	7	instances	instance	NOUN
cana-1241	40	8	fall	fall	VERB
cana-1241	40	9	into	into	ADP
cana-1241	40	10	stage	stage	NOUN
cana-1241	40	11	3	3	NUM
cana-1241	40	12	.	.	PUNCT
cana-1241	41	1	there	there	PRON
cana-1241	41	2	is	be	VERB
cana-1241	41	3	a	a	DET
cana-1241	41	4	moderate	moderate	ADJ
cana-1241	41	5	reduction	reduction	NOUN
cana-1241	41	6	in	in	ADP
cana-1241	41	7	each	each	PRON
cana-1241	41	8	of	of	ADP
cana-1241	41	9	the	the	DET
cana-1241	41	10	two	two	NUM
cana-1241	41	11	stages	stage	NOUN
cana-1241	41	12	'	'	PART
cana-1241	41	13	performance	performance	NOUN
cana-1241	41	14	abilities	ability	NOUN
cana-1241	41	15	.	.	PUNCT
cana-1241	42	1	the	the	DET
cana-1241	42	2	research	research	NOUN
cana-1241	42	3	on	on	ADP
cana-1241	42	4	ml	ml	ADP
cana-1241	42	5	algorithms	algorithm	NOUN
cana-1241	42	6	for	for	ADP
cana-1241	42	7	predicting	predict	VERB
cana-1241	42	8	renal	renal	ADJ
cana-1241	42	9	disease	disease	NOUN
cana-1241	42	10	has	have	AUX
cana-1241	42	11	utilized	utilize	VERB
cana-1241	42	12	various	various	ADJ
cana-1241	42	13	samples	sample	NOUN
cana-1241	42	14	.	.	PUNCT
cana-1241	43	1	a	a	DET
cana-1241	43	2	part	part	NOUN
cana-1241	43	3	of	of	ADP
cana-1241	43	4	ai	ai	AUX
cana-1241	43	5	called	call	VERB
cana-1241	43	6	ml	ml	ADP
cana-1241	43	7	allows	allow	VERB
cana-1241	43	8	computers	computer	NOUN
cana-1241	43	9	to	to	PART
cana-1241	43	10	carry	carry	VERB
cana-1241	43	11	out	out	ADP
cana-1241	43	12	particular	particular	ADJ
cana-1241	43	13	tasks	task	NOUN
cana-1241	43	14	without	without	ADP
cana-1241	43	15	direct	direct	ADJ
cana-1241	43	16	guidance	guidance	NOUN
cana-1241	43	17	.	.	PUNCT
cana-1241	44	1	when	when	SCONJ
cana-1241	44	2	it	it	PRON
cana-1241	44	3	comes	come	VERB
cana-1241	44	4	to	to	ADP
cana-1241	44	5	reliable	reliable	ADJ
cana-1241	44	6	techniques	technique	NOUN
cana-1241	44	7	,	,	PUNCT
cana-1241	44	8	ml	ml	NOUN
cana-1241	44	9	techniques	technique	NOUN
cana-1241	44	10	can	can	AUX
cana-1241	44	11	be	be	AUX
cana-1241	44	12	trained	train	VERB
cana-1241	44	13	to	to	PART
cana-1241	44	14	recognize	recognize	VERB
cana-1241	44	15	the	the	DET
cana-1241	44	16	patterns	pattern	NOUN
cana-1241	44	17	in	in	ADP
cana-1241	44	18	model	model	NOUN
cana-1241	44	19	data	datum	NOUN
cana-1241	44	20	and	and	CCONJ
cana-1241	44	21	forecast	forecast	NOUN
cana-1241	44	22	results	result	NOUN
cana-1241	44	23	for	for	ADP
cana-1241	44	24	fresh	fresh	ADJ
cana-1241	44	25	data	datum	NOUN
cana-1241	44	26	using	use	VERB
cana-1241	44	27	the	the	DET
cana-1241	44	28	collected	collect	VERB
cana-1241	44	29	data	datum	NOUN
cana-1241	44	30	.	.	PUNCT
cana-1241	45	1	compared	compare	VERB
cana-1241	45	2	to	to	ADP
cana-1241	45	3	traditional	traditional	ADJ
cana-1241	45	4	research	research	NOUN
cana-1241	45	5	,	,	PUNCT
cana-1241	45	6	ml	ml	AUX
cana-1241	45	7	incorporates	incorporate	VERB
cana-1241	45	8	more	more	ADJ
cana-1241	45	9	complex	complex	ADJ
cana-1241	45	10	mathematical	mathematical	ADJ
cana-1241	45	11	operations	operation	NOUN
cana-1241	45	12	and	and	CCONJ
cana-1241	45	13	generally	generally	ADV
cana-1241	45	14	produces	produce	VERB
cana-1241	45	15	better	well	ADJ
cana-1241	45	16	results	result	NOUN
cana-1241	45	17	when	when	SCONJ
cana-1241	45	18	forecasting	forecast	VERB
cana-1241	45	19	outcomes	outcome	NOUN
cana-1241	45	20	affected	affect	VERB
cana-1241	45	21	by	by	ADP
cana-1241	45	22	a	a	DET
cana-1241	45	23	wide	wide	ADJ
cana-1241	45	24	range	range	NOUN
cana-1241	45	25	of	of	ADP
cana-1241	45	26	factors	factor	NOUN
cana-1241	45	27	with	with	ADP
cana-1241	45	28	complex	complex	ADJ
cana-1241	45	29	,	,	PUNCT
cana-1241	45	30	non	non	ADJ
cana-1241	45	31	-	-	ADJ
cana-1241	45	32	linear	linear	ADJ
cana-1241	45	33	interactions	interaction	NOUN
cana-1241	46	1	[	[	X
cana-1241	46	2	3	3	NUM
cana-1241	46	3	]	]	PUNCT
cana-1241	46	4	.	.	PUNCT
cana-1241	47	1	recent	recent	ADJ
cana-1241	47	2	research	research	NOUN
cana-1241	47	3	has	have	AUX
cana-1241	47	4	shown	show	VERB
cana-1241	47	5	that	that	SCONJ
cana-1241	47	6	ml	ml	PROPN
cana-1241	47	7	can	can	AUX
cana-1241	47	8	perform	perform	VERB
cana-1241	47	9	at	at	ADP
cana-1241	47	10	a	a	DET
cana-1241	47	11	level	level	NOUN
cana-1241	47	12	that	that	PRON
cana-1241	47	13	is	be	AUX
cana-1241	47	14	higher	high	ADJ
cana-1241	47	15	than	than	ADP
cana-1241	47	16	both	both	CCONJ
cana-1241	47	17	human	human	ADJ
cana-1241	47	18	and	and	CCONJ
cana-1241	47	19	traditional	traditional	ADJ
cana-1241	47	20	statistical	statistical	ADJ
cana-1241	47	21	capabilities	capability	NOUN
cana-1241	47	22	[	[	X
cana-1241	47	23	4	4	NUM
cana-1241	47	24	]	]	PUNCT
cana-1241	47	25	.	.	PUNCT
cana-1241	48	1	the	the	DET
cana-1241	48	2	research	research	NOUN
cana-1241	48	3	that	that	PRON
cana-1241	48	4	is	be	AUX
cana-1241	48	5	currently	currently	ADV
cana-1241	48	6	available	available	ADJ
cana-1241	48	7	on	on	ADP
cana-1241	48	8	classifying	classify	VERB
cana-1241	48	9	and	and	CCONJ
cana-1241	48	10	predicting	predict	VERB
cana-1241	48	11	ckd	ckd	PROPN
cana-1241	48	12	using	use	VERB
cana-1241	48	13	a	a	DET
cana-1241	48	14	variety	variety	NOUN
cana-1241	48	15	of	of	ADP
cana-1241	48	16	data	datum	NOUN
cana-1241	48	17	mining	mining	NOUN
cana-1241	48	18	techniques	technique	NOUN
cana-1241	48	19	,	,	PUNCT
cana-1241	48	20	as	as	ADV
cana-1241	48	21	well	well	ADV
cana-1241	48	22	as	as	ADP
cana-1241	48	23	assessing	assess	VERB
cana-1241	48	24	bcr	bcr	NOUN
cana-1241	48	25	and	and	CCONJ
cana-1241	48	26	egfr	egfr	NOUN
cana-1241	48	27	to	to	PART
cana-1241	48	28	ascertain	ascertain	VERB
cana-1241	48	29	the	the	DET
cana-1241	48	30	degree	degree	NOUN
cana-1241	48	31	of	of	ADP
cana-1241	48	32	ckd	ckd	PROPN
cana-1241	48	33	,	,	PUNCT
cana-1241	48	34	is	be	AUX
cana-1241	48	35	summarized	summarize	VERB
cana-1241	48	36	in	in	ADP
cana-1241	48	37	this	this	DET
cana-1241	48	38	paper	paper	NOUN
cana-1241	48	39	.	.	PUNCT
cana-1241	49	1	the	the	DET
cana-1241	49	2	ckd	ckd	NOUN
cana-1241	49	3	-	-	PUNCT
cana-1241	49	4	epi	epi	NOUN
cana-1241	49	5	expression	expression	NOUN
cana-1241	49	6	is	be	AUX
cana-1241	49	7	created	create	VERB
cana-1241	49	8	utilizing	utilize	VERB
cana-1241	49	9	a	a	DET
cana-1241	49	10	collective	collective	ADJ
cana-1241	49	11	data	datum	NOUN
cana-1241	49	12	set	set	VERB
cana-1241	49	13	derived	derive	VERB
cana-1241	49	14	from	from	ADP
cana-1241	49	15	ten	ten	NUM
cana-1241	49	16	investigations	investigation	NOUN
cana-1241	49	17	of	of	ADP
cana-1241	49	18	patients	patient	NOUN
cana-1241	49	19	with	with	ADP
cana-1241	49	20	and	and	CCONJ
cana-1241	49	21	without	without	ADP
cana-1241	49	22	the	the	DET
cana-1241	49	23	aid	aid	NOUN
cana-1241	49	24	of	of	ADP
cana-1241	49	25	ckd	ckd	PROPN
cana-1241	49	26	,	,	PUNCT
cana-1241	49	27	every	every	DET
cana-1241	49	28	one	one	NUM
cana-1241	49	29	of	of	ADP
cana-1241	49	30	those	those	PRON
cana-1241	49	31	have	have	AUX
cana-1241	49	32	assessed	assess	VERB
cana-1241	49	33	gfr	gfr	NOUN
cana-1241	49	34	utilizing	utilize	VERB
cana-1241	49	35	urine	urine	NOUN
cana-1241	49	36	iothalamate	iothalamate	NOUN
cana-1241	49	37	clearance	clearance	NOUN
cana-1241	49	38	and	and	CCONJ
cana-1241	49	39	blood	blood	NOUN
cana-1241	49	40	creatinine	creatinine	NOUN
cana-1241	49	41	traceable	traceable	ADJ
cana-1241	49	42	in	in	ADP
cana-1241	49	43	accordance	accordance	NOUN
cana-1241	49	44	to	to	ADP
cana-1241	49	45	international	international	ADJ
cana-1241	49	46	resource	resource	NOUN
cana-1241	49	47	criteria	criterion	NOUN
cana-1241	49	48	.	.	PUNCT
cana-1241	50	1	nevertheless	nevertheless	ADV
cana-1241	50	2	,	,	PUNCT
cana-1241	50	3	the	the	DET
cana-1241	50	4	bun	bun	PROPN
cana-1241	50	5	-	-	PUNCT
cana-1241	50	6	cr	cr	PROPN
cana-1241	50	7	and	and	CCONJ
cana-1241	50	8	egfr	egfr	NOUN
cana-1241	50	9	are	be	AUX
cana-1241	50	10	conducted	conduct	VERB
cana-1241	50	11	using	use	VERB
cana-1241	50	12	these	these	DET
cana-1241	50	13	factors	factor	NOUN
cana-1241	50	14	to	to	PART
cana-1241	50	15	ascertain	ascertain	VERB
cana-1241	50	16	the	the	DET
cana-1241	50	17	precise	precise	ADJ
cana-1241	50	18	sc	sc	PROPN
cana-1241	50	19	concentration	concentration	NOUN
cana-1241	50	20	in	in	ADP
cana-1241	50	21	the	the	DET
cana-1241	50	22	patients	patient	NOUN
cana-1241	50	23	.	.	PUNCT
cana-1241	51	1	hence	hence	ADV
cana-1241	51	2	,	,	PUNCT
cana-1241	51	3	this	this	DET
cana-1241	51	4	paper	paper	NOUN
cana-1241	51	5	focuses	focus	VERB
cana-1241	51	6	on	on	ADP
cana-1241	51	7	generating	generate	VERB
cana-1241	51	8	bcr	bcr	NOUN
cana-1241	51	9	and	and	CCONJ
cana-1241	51	10	egfr	egfr	ADJ
cana-1241	51	11	values	value	NOUN
cana-1241	51	12	to	to	PART
cana-1241	51	13	reliably	reliably	ADV
cana-1241	51	14	classifying	classify	VERB
cana-1241	51	15	ckd	ckd	NOUN
cana-1241	51	16	levels	level	NOUN
cana-1241	51	17	utilizing	utilize	VERB
cana-1241	51	18	feature	feature	NOUN
cana-1241	51	19	selection	selection	NOUN
cana-1241	51	20	of	of	ADP
cana-1241	51	21	boruta	boruta	NOUN
cana-1241	51	22	approach	approach	NOUN
cana-1241	51	23	for	for	ADP
cana-1241	51	24	rapid	rapid	ADJ
cana-1241	51	25	and	and	CCONJ
cana-1241	51	26	communications	communication	NOUN
cana-1241	51	27	on	on	ADP
cana-1241	51	28	applied	apply	VERB
cana-1241	51	29	nonlinear	nonlinear	ADJ
cana-1241	51	30	analysis	analysis	NOUN
cana-1241	51	31	issn	issn	NOUN
cana-1241	51	32	:	:	PUNCT
cana-1241	51	33	1074	1074	NUM
cana-1241	51	34	-	-	PUNCT
cana-1241	51	35	133x	133x	NUM
cana-1241	51	36	vol	vol	NOUN
cana-1241	51	37	31	31	NUM
cana-1241	51	38	no	no	NOUN
cana-1241	51	39	.	.	PUNCT
cana-1241	52	1	6s	6s	NUM
cana-1241	52	2	(	(	PUNCT
cana-1241	52	3	2024	2024	NUM
cana-1241	52	4	)	)	PUNCT
cana-1241	52	5	526	526	NUM
cana-1241	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	52	7	reliable	reliable	ADJ
cana-1241	52	8	diagnoses	diagnosis	NOUN
cana-1241	52	9	.	.	PUNCT
cana-1241	53	1	this	this	DET
cana-1241	53	2	procedure	procedure	NOUN
cana-1241	53	3	improves	improve	VERB
cana-1241	53	4	computing	compute	VERB
cana-1241	53	5	speed	speed	NOUN
cana-1241	53	6	as	as	ADV
cana-1241	53	7	well	well	ADV
cana-1241	53	8	as	as	ADP
cana-1241	53	9	forecast	forecast	NOUN
cana-1241	53	10	accuracy	accuracy	NOUN
cana-1241	53	11	[	[	X
cana-1241	53	12	5	5	NUM
cana-1241	53	13	]	]	PUNCT
cana-1241	53	14	.	.	PUNCT
cana-1241	54	1	boruta	boruta	PROPN
cana-1241	54	2	is	be	AUX
cana-1241	54	3	a	a	DET
cana-1241	54	4	method	method	NOUN
cana-1241	54	5	that	that	PRON
cana-1241	54	6	uses	use	VERB
cana-1241	54	7	the	the	DET
cana-1241	54	8	rf	rf	ADJ
cana-1241	54	9	algorithm	algorithm	NOUN
cana-1241	54	10	to	to	PART
cana-1241	54	11	carry	carry	VERB
cana-1241	54	12	out	out	ADP
cana-1241	54	13	feature	feature	NOUN
cana-1241	54	14	selection	selection	NOUN
cana-1241	54	15	and	and	CCONJ
cana-1241	54	16	ranking	ranking	NOUN
cana-1241	54	17	.	.	PUNCT
cana-1241	55	1	determining	determine	VERB
cana-1241	55	2	the	the	DET
cana-1241	55	3	significance	significance	NOUN
cana-1241	55	4	of	of	ADP
cana-1241	55	5	each	each	DET
cana-1241	55	6	variable	variable	NOUN
cana-1241	55	7	and	and	CCONJ
cana-1241	55	8	assisting	assist	VERB
cana-1241	55	9	in	in	ADP
cana-1241	55	10	the	the	DET
cana-1241	55	11	statistical	statistical	ADJ
cana-1241	55	12	selection	selection	NOUN
cana-1241	55	13	of	of	ADP
cana-1241	55	14	important	important	ADJ
cana-1241	55	15	variables	variable	NOUN
cana-1241	55	16	are	be	AUX
cana-1241	55	17	two	two	NUM
cana-1241	55	18	benefits	benefit	NOUN
cana-1241	55	19	of	of	ADP
cana-1241	55	20	using	use	VERB
cana-1241	55	21	boruta	boruta	NOUN
cana-1241	55	22	.	.	PUNCT
cana-1241	56	1	furthermore	furthermore	ADV
cana-1241	56	2	,	,	PUNCT
cana-1241	56	3	increasing	increase	VERB
cana-1241	56	4	the	the	DET
cana-1241	56	5	p	p	NOUN
cana-1241	56	6	-	-	PUNCT
cana-1241	56	7	value	value	NOUN
cana-1241	56	8	to	to	PART
cana-1241	56	9	0.01	0.01	NUM
cana-1241	56	10	could	could	AUX
cana-1241	56	11	improve	improve	VERB
cana-1241	56	12	the	the	DET
cana-1241	56	13	method	method	NOUN
cana-1241	56	14	's	's	PART
cana-1241	56	15	resilience	resilience	NOUN
cana-1241	56	16	.	.	PUNCT
cana-1241	57	1	the	the	DET
cana-1241	57	2	term	term	NOUN
cana-1241	57	3	"	"	PUNCT
cana-1241	57	4	estimator	estimator	NOUN
cana-1241	57	5	"	"	PUNCT
cana-1241	57	6	is	be	AUX
cana-1241	57	7	used	use	VERB
cana-1241	57	8	to	to	PART
cana-1241	57	9	indicate	indicate	VERB
cana-1241	57	10	how	how	SCONJ
cana-1241	57	11	many	many	ADJ
cana-1241	57	12	times	time	NOUN
cana-1241	57	13	the	the	DET
cana-1241	57	14	algorithm	algorithm	NOUN
cana-1241	57	15	has	have	AUX
cana-1241	57	16	been	be	AUX
cana-1241	57	17	run	run	VERB
cana-1241	57	18	.	.	PUNCT
cana-1241	58	1	the	the	DET
cana-1241	58	2	variables	variable	NOUN
cana-1241	58	3	should	should	AUX
cana-1241	58	4	be	be	AUX
cana-1241	58	5	picked	pick	VERB
cana-1241	58	6	with	with	ADP
cana-1241	58	7	greater	great	ADJ
cana-1241	58	8	selectivity	selectivity	NOUN
cana-1241	58	9	the	the	DET
cana-1241	58	10	larger	large	ADJ
cana-1241	58	11	the	the	DET
cana-1241	58	12	nestimator.100	nestimator.100	NOUN
cana-1241	58	13	is	be	AUX
cana-1241	58	14	the	the	DET
cana-1241	58	15	standard	standard	ADJ
cana-1241	58	16	value	value	NOUN
cana-1241	58	17	.	.	PUNCT
cana-1241	59	1	this	this	DET
cana-1241	59	2	strategy	strategy	NOUN
cana-1241	59	3	offers	offer	VERB
cana-1241	59	4	a	a	DET
cana-1241	59	5	top	top	ADJ
cana-1241	59	6	-	-	PUNCT
cana-1241	59	7	down	down	ADP
cana-1241	59	8	method	method	NOUN
cana-1241	59	9	by	by	ADP
cana-1241	59	10	contrasting	contrast	VERB
cana-1241	59	11	the	the	DET
cana-1241	59	12	initial	initial	ADJ
cana-1241	59	13	features	feature	NOUN
cana-1241	59	14	with	with	ADP
cana-1241	59	15	pertinent	pertinent	ADJ
cana-1241	59	16	attributes	attribute	NOUN
cana-1241	59	17	.	.	PUNCT
cana-1241	60	1	the	the	DET
cana-1241	60	2	study	study	NOUN
cana-1241	60	3	also	also	ADV
cana-1241	60	4	tackles	tackle	VERB
cana-1241	60	5	the	the	DET
cana-1241	60	6	challenges	challenge	NOUN
cana-1241	60	7	associated	associate	VERB
cana-1241	60	8	with	with	ADP
cana-1241	60	9	evaluating	evaluate	VERB
cana-1241	60	10	ckd	ckd	PROPN
cana-1241	60	11	data	datum	NOUN
cana-1241	60	12	in	in	ADP
cana-1241	60	13	the	the	DET
cana-1241	60	14	presence	presence	NOUN
cana-1241	60	15	of	of	ADP
cana-1241	60	16	missing	miss	VERB
cana-1241	60	17	values	value	NOUN
cana-1241	60	18	.	.	PUNCT
cana-1241	61	1	this	this	PRON
cana-1241	61	2	is	be	AUX
cana-1241	61	3	accomplished	accomplish	VERB
cana-1241	61	4	through	through	ADP
cana-1241	61	5	the	the	DET
cana-1241	61	6	utilization	utilization	NOUN
cana-1241	61	7	of	of	ADP
cana-1241	61	8	a	a	DET
cana-1241	61	9	novel	novel	ADJ
cana-1241	61	10	approach	approach	NOUN
cana-1241	61	11	and	and	CCONJ
cana-1241	61	12	the	the	DET
cana-1241	61	13	evaluation	evaluation	NOUN
cana-1241	61	14	of	of	ADP
cana-1241	61	15	various	various	ADJ
cana-1241	61	16	techniques	technique	NOUN
cana-1241	61	17	employing	employ	VERB
cana-1241	61	18	the	the	DET
cana-1241	61	19	uci	uci	PROPN
cana-1241	61	20	dataset	dataset	NOUN
cana-1241	61	21	.	.	PUNCT
cana-1241	62	1	the	the	DET
cana-1241	62	2	primary	primary	ADJ
cana-1241	62	3	contributions	contribution	NOUN
cana-1241	62	4	of	of	ADP
cana-1241	62	5	this	this	DET
cana-1241	62	6	work	work	NOUN
cana-1241	62	7	include	include	VERB
cana-1241	62	8	:	:	PUNCT
cana-1241	62	9	•	•	ADP
cana-1241	62	10	to	to	PART
cana-1241	62	11	categorize	categorize	VERB
cana-1241	62	12	and	and	CCONJ
cana-1241	62	13	identify	identify	VERB
cana-1241	62	14	earlier	early	ADJ
cana-1241	62	15	possibilities	possibility	NOUN
cana-1241	62	16	of	of	ADP
cana-1241	62	17	ckd	ckd	PROPN
cana-1241	62	18	,	,	PUNCT
cana-1241	62	19	justification	justification	NOUN
cana-1241	62	20	may	may	AUX
cana-1241	62	21	be	be	AUX
cana-1241	62	22	provided	provide	VERB
cana-1241	62	23	utilizing	utilize	VERB
cana-1241	62	24	egfr	egfr	NOUN
cana-1241	62	25	and	and	CCONJ
cana-1241	62	26	bcr	bcr	PROPN
cana-1241	62	27	.	.	PROPN
cana-1241	62	28	•	•	NUM
cana-1241	62	29	the	the	DET
cana-1241	62	30	input	input	NOUN
cana-1241	62	31	data	datum	NOUN
cana-1241	62	32	from	from	ADP
cana-1241	62	33	the	the	DET
cana-1241	62	34	kidney	kidney	NOUN
cana-1241	62	35	disease	disease	NOUN
cana-1241	62	36	patient	patient	NOUN
cana-1241	62	37	’s	’s	PART
cana-1241	62	38	dataset	dataset	NOUN
cana-1241	62	39	is	be	AUX
cana-1241	62	40	divided	divide	VERB
cana-1241	62	41	into	into	ADP
cana-1241	62	42	training	training	NOUN
cana-1241	62	43	and	and	CCONJ
cana-1241	62	44	testing	testing	NOUN
cana-1241	62	45	subsets	subset	NOUN
cana-1241	62	46	as	as	ADP
cana-1241	62	47	part	part	NOUN
cana-1241	62	48	of	of	ADP
cana-1241	62	49	the	the	DET
cana-1241	62	50	data	data	NOUN
cana-1241	62	51	preprocessing	preprocessing	NOUN
cana-1241	62	52	procedure	procedure	NOUN
cana-1241	62	53	.	.	PUNCT
cana-1241	63	1	•	•	NUM
cana-1241	63	2	implementing	implement	VERB
cana-1241	63	3	bfs	bfs	NOUN
cana-1241	63	4	-	-	PUNCT
cana-1241	63	5	erfc	erfc	NOUN
cana-1241	63	6	model	model	NOUN
cana-1241	63	7	for	for	ADP
cana-1241	63	8	import	import	PROPN
cana-1241	63	9	train_test_split	train_test_split	PROPN
cana-1241	63	10	,	,	PUNCT
cana-1241	63	11	labelencoder	labelencoder	PROPN
cana-1241	63	12	,	,	PUNCT
cana-1241	63	13	onehotencoder	onehotencoder	NOUN
cana-1241	63	14	and	and	CCONJ
cana-1241	63	15	standardscalar	standardscalar	VERB
cana-1241	63	16	in	in	ADP
cana-1241	63	17	sklearn	sklearn	ADJ
cana-1241	63	18	package	package	NOUN
cana-1241	63	19	.	.	PUNCT
cana-1241	64	1	•	•	NOUN
cana-1241	64	2	after	after	SCONJ
cana-1241	64	3	the	the	DET
cana-1241	64	4	model	model	NOUN
cana-1241	64	5	has	have	AUX
cana-1241	64	6	been	be	AUX
cana-1241	64	7	trained	train	VERB
cana-1241	64	8	,	,	PUNCT
cana-1241	64	9	this	this	DET
cana-1241	64	10	research	research	NOUN
cana-1241	64	11	work	work	NOUN
cana-1241	64	12	utilizes	utilize	VERB
cana-1241	64	13	it	it	PRON
cana-1241	64	14	to	to	PART
cana-1241	64	15	anticipate	anticipate	VERB
cana-1241	64	16	the	the	DET
cana-1241	64	17	labels	label	NOUN
cana-1241	64	18	for	for	ADP
cana-1241	64	19	both	both	CCONJ
cana-1241	64	20	our	our	PRON
cana-1241	64	21	training	training	NOUN
cana-1241	64	22	and	and	CCONJ
cana-1241	64	23	test	test	NOUN
cana-1241	64	24	datasets	dataset	NOUN
cana-1241	64	25	.	.	PUNCT
cana-1241	65	1	subsequently	subsequently	ADV
cana-1241	65	2	,	,	PUNCT
cana-1241	65	3	these	these	DET
cana-1241	65	4	predictions	prediction	NOUN
cana-1241	65	5	allow	allow	VERB
cana-1241	65	6	us	we	PRON
cana-1241	65	7	to	to	PART
cana-1241	65	8	examine	examine	VERB
cana-1241	65	9	the	the	DET
cana-1241	65	10	performance	performance	NOUN
cana-1241	65	11	accuracy	accuracy	NOUN
cana-1241	65	12	of	of	ADP
cana-1241	65	13	training	training	NOUN
cana-1241	65	14	and	and	CCONJ
cana-1241	65	15	test	test	NOUN
cana-1241	65	16	methods	method	NOUN
cana-1241	65	17	.	.	PUNCT
cana-1241	66	1	literature	literature	NOUN
cana-1241	66	2	review	review	VERB
cana-1241	66	3	numerous	numerous	ADJ
cana-1241	66	4	researchers	researcher	NOUN
cana-1241	66	5	have	have	AUX
cana-1241	66	6	shown	show	VERB
cana-1241	66	7	a	a	DET
cana-1241	66	8	keen	keen	ADJ
cana-1241	66	9	interest	interest	NOUN
cana-1241	66	10	in	in	ADP
cana-1241	66	11	predicting	predict	VERB
cana-1241	66	12	ckd	ckd	PROPN
cana-1241	66	13	,	,	PUNCT
cana-1241	66	14	employing	employ	VERB
cana-1241	66	15	diverse	diverse	ADJ
cana-1241	66	16	classification	classification	NOUN
cana-1241	66	17	methods	method	NOUN
cana-1241	66	18	to	to	PART
cana-1241	66	19	develop	develop	VERB
cana-1241	66	20	effective	effective	ADJ
cana-1241	66	21	and	and	CCONJ
cana-1241	66	22	specific	specific	ADJ
cana-1241	66	23	prediction	prediction	NOUN
cana-1241	66	24	systems	system	NOUN
cana-1241	66	25	.	.	PUNCT
cana-1241	67	1	shahinda	shahinda	PROPN
cana-1241	67	2	et	et	PROPN
cana-1241	67	3	al	al	PROPN
cana-1241	67	4	.	.	PUNCT
cana-1241	68	1	[	[	X
cana-1241	68	2	6	6	NUM
cana-1241	68	3	]	]	PUNCT
cana-1241	68	4	introduces	introduce	NOUN
cana-1241	68	5	a	a	DET
cana-1241	68	6	sophisticated	sophisticated	ADJ
cana-1241	68	7	model	model	NOUN
cana-1241	68	8	for	for	ADP
cana-1241	68	9	classifying	classify	VERB
cana-1241	68	10	and	and	CCONJ
cana-1241	68	11	predicting	predict	VERB
cana-1241	68	12	kidney	kidney	NOUN
cana-1241	68	13	-	-	PUNCT
cana-1241	68	14	related	relate	VERB
cana-1241	68	15	diseases	disease	NOUN
cana-1241	68	16	.	.	PUNCT
cana-1241	69	1	the	the	DET
cana-1241	69	2	proposed	propose	VERB
cana-1241	69	3	model	model	NOUN
cana-1241	69	4	employs	employ	VERB
cana-1241	69	5	a	a	DET
cana-1241	69	6	customized	customized	ADJ
cana-1241	69	7	deep	deep	ADJ
cana-1241	69	8	belief	belief	NOUN
cana-1241	69	9	network	network	NOUN
cana-1241	69	10	(	(	PUNCT
cana-1241	69	11	dbn	dbn	PROPN
cana-1241	69	12	)	)	PUNCT
cana-1241	69	13	as	as	ADP
cana-1241	69	14	the	the	DET
cana-1241	69	15	classification	classification	NOUN
cana-1241	69	16	algorithm	algorithm	NOUN
cana-1241	69	17	,	,	PUNCT
cana-1241	69	18	utilizing	utilize	VERB
cana-1241	69	19	softmax	softmax	NOUN
cana-1241	69	20	as	as	ADP
cana-1241	69	21	the	the	DET
cana-1241	69	22	activation	activation	NOUN
cana-1241	69	23	function	function	NOUN
cana-1241	69	24	and	and	CCONJ
cana-1241	69	25	categorical	categorical	ADJ
cana-1241	69	26	cross	cross	NOUN
cana-1241	69	27	-	-	NOUN
cana-1241	69	28	entropy	entropy	NOUN
cana-1241	69	29	as	as	ADP
cana-1241	69	30	the	the	DET
cana-1241	69	31	loss	loss	NOUN
cana-1241	69	32	function	function	NOUN
cana-1241	69	33	.	.	PUNCT
cana-1241	70	1	poonia	poonia	PROPN
cana-1241	70	2	et	et	PROPN
cana-1241	70	3	al	al	PROPN
cana-1241	70	4	.	.	PUNCT
cana-1241	71	1	[	[	X
cana-1241	71	2	7	7	X
cana-1241	71	3	]	]	PUNCT
cana-1241	71	4	utilizes	utilize	VERB
cana-1241	71	5	different	different	ADJ
cana-1241	71	6	ml	ml	ADP
cana-1241	71	7	approaches	approach	NOUN
cana-1241	71	8	whereas	whereas	SCONJ
cana-1241	71	9	the	the	DET
cana-1241	71	10	results	result	NOUN
cana-1241	71	11	indicated	indicate	VERB
cana-1241	71	12	that	that	SCONJ
cana-1241	71	13	lr	lr	NOUN
cana-1241	71	14	method	method	NOUN
cana-1241	71	15	,	,	PUNCT
cana-1241	71	16	optimized	optimize	VERB
cana-1241	71	17	with	with	ADP
cana-1241	71	18	attributes	attribute	NOUN
cana-1241	71	19	selected	select	VERB
cana-1241	71	20	through	through	ADP
cana-1241	71	21	the	the	DET
cana-1241	71	22	chi	chi	ADJ
cana-1241	71	23	-	-	PUNCT
cana-1241	71	24	square	square	ADJ
cana-1241	71	25	method	method	NOUN
cana-1241	71	26	,	,	PUNCT
cana-1241	71	27	achieved	achieve	VERB
cana-1241	71	28	the	the	DET
cana-1241	71	29	peak	peak	NOUN
cana-1241	71	30	precision	precision	NOUN
cana-1241	71	31	at	at	ADP
cana-1241	71	32	98.75	98.75	NUM
cana-1241	71	33	%	%	NOUN
cana-1241	71	34	.	.	PUNCT
cana-1241	72	1	debabrata	debabrata	VERB
cana-1241	72	2	et	et	PROPN
cana-1241	72	3	al	al	PROPN
cana-1241	72	4	.	.	PUNCT
cana-1241	73	1	[	[	X
cana-1241	73	2	8	8	NUM
cana-1241	73	3	]	]	PUNCT
cana-1241	73	4	focusses	focusse	VERB
cana-1241	73	5	research	research	NOUN
cana-1241	73	6	with	with	ADP
cana-1241	73	7	the	the	DET
cana-1241	73	8	objective	objective	NOUN
cana-1241	73	9	of	of	ADP
cana-1241	73	10	creating	create	VERB
cana-1241	73	11	a	a	DET
cana-1241	73	12	ml	ml	NOUN
cana-1241	73	13	technique	technique	NOUN
cana-1241	73	14	for	for	ADP
cana-1241	73	15	the	the	DET
cana-1241	73	16	early	early	ADJ
cana-1241	73	17	recognition	recognition	NOUN
cana-1241	73	18	of	of	ADP
cana-1241	73	19	ckd	ckd	PROPN
cana-1241	73	20	by	by	ADP
cana-1241	73	21	utilizing	utilize	VERB
cana-1241	73	22	the	the	DET
cana-1241	73	23	uci	uci	PROPN
cana-1241	73	24	ckd	ckd	PROPN
cana-1241	73	25	dataset	dataset	PROPN
cana-1241	73	26	.	.	PUNCT
cana-1241	74	1	the	the	DET
cana-1241	74	2	investigators	investigator	NOUN
cana-1241	74	3	incorporated	incorporate	VERB
cana-1241	74	4	imputation	imputation	NOUN
cana-1241	74	5	methods	method	NOUN
cana-1241	74	6	,	,	PUNCT
cana-1241	74	7	data	datum	NOUN
cana-1241	74	8	normalization	normalization	NOUN
cana-1241	74	9	and	and	CCONJ
cana-1241	74	10	data	datum	NOUN
cana-1241	74	11	balancing	balance	VERB
cana-1241	74	12	sampling	sample	VERB
cana-1241	74	13	technique	technique	NOUN
cana-1241	74	14	in	in	ADP
cana-1241	74	15	their	their	PRON
cana-1241	74	16	approach	approach	NOUN
cana-1241	74	17	.	.	PUNCT
cana-1241	75	1	nine	nine	NUM
cana-1241	75	2	features	feature	NOUN
cana-1241	75	3	were	be	AUX
cana-1241	75	4	chosen	choose	VERB
cana-1241	75	5	through	through	ADP
cana-1241	75	6	the	the	DET
cana-1241	75	7	svm	svm	PROPN
cana-1241	75	8	and	and	CCONJ
cana-1241	75	9	chi	chi	ADJ
cana-1241	75	10	-	-	PUNCT
cana-1241	75	11	square	square	NOUN
cana-1241	75	12	test	test	NOUN
cana-1241	75	13	were	be	AUX
cana-1241	75	14	employed	employ	VERB
cana-1241	75	15	for	for	ADP
cana-1241	75	16	categorization	categorization	NOUN
cana-1241	75	17	.	.	PUNCT
cana-1241	76	1	despite	despite	SCONJ
cana-1241	76	2	its	its	PRON
cana-1241	76	3	contributions	contribution	NOUN
cana-1241	76	4	,	,	PUNCT
cana-1241	76	5	the	the	DET
cana-1241	76	6	research	research	NOUN
cana-1241	76	7	had	have	VERB
cana-1241	76	8	constraints	constraint	NOUN
cana-1241	76	9	,	,	PUNCT
cana-1241	76	10	including	include	VERB
cana-1241	76	11	the	the	DET
cana-1241	76	12	omission	omission	NOUN
cana-1241	76	13	of	of	ADP
cana-1241	76	14	progressive	progressive	ADJ
cana-1241	76	15	imputation	imputation	NOUN
cana-1241	76	16	techniques	technique	NOUN
cana-1241	76	17	and	and	CCONJ
cana-1241	76	18	the	the	DET
cana-1241	76	19	potential	potential	ADJ
cana-1241	76	20	loss	loss	NOUN
cana-1241	76	21	of	of	ADP
cana-1241	76	22	information	information	NOUN
cana-1241	76	23	resulting	result	VERB
cana-1241	76	24	from	from	ADP
cana-1241	76	25	minimizing	minimize	VERB
cana-1241	76	26	the	the	DET
cana-1241	76	27	variable	variable	ADJ
cana-1241	76	28	set	set	NOUN
cana-1241	76	29	.	.	PUNCT
cana-1241	77	1	z.	z.	PROPN
cana-1241	77	2	ullah	ullah	PROPN
cana-1241	77	3	et	et	PROPN
cana-1241	77	4	al	al	PROPN
cana-1241	78	1	[	[	X
cana-1241	78	2	9	9	NUM
cana-1241	78	3	]	]	PUNCT
cana-1241	78	4	discusses	discuss	VERB
cana-1241	78	5	to	to	PART
cana-1241	78	6	estimate	estimate	VERB
cana-1241	78	7	the	the	DET
cana-1241	78	8	progression	progression	NOUN
cana-1241	78	9	of	of	ADP
cana-1241	78	10	ckd	ckd	PROPN
cana-1241	78	11	uutilizing	uutilize	VERB
cana-1241	78	12	the	the	DET
cana-1241	78	13	implementation	implementation	NOUN
cana-1241	78	14	of	of	ADP
cana-1241	78	15	a	a	DET
cana-1241	78	16	decision	decision	NOUN
cana-1241	78	17	tree	tree	NOUN
cana-1241	78	18	-	-	PUNCT
cana-1241	78	19	based	base	VERB
cana-1241	78	20	imputation	imputation	NOUN
cana-1241	78	21	method	method	NOUN
cana-1241	78	22	for	for	ADP
cana-1241	78	23	handling	handle	VERB
cana-1241	78	24	missing	miss	VERB
cana-1241	78	25	values	value	NOUN
cana-1241	78	26	.	.	PUNCT
cana-1241	79	1	the	the	DET
cana-1241	79	2	researchers	researcher	NOUN
cana-1241	79	3	carried	carry	VERB
cana-1241	79	4	out	out	ADP
cana-1241	79	5	the	the	DET
cana-1241	79	6	knn	knn	PROPN
cana-1241	79	7	for	for	ADP
cana-1241	79	8	categorization	categorization	NOUN
cana-1241	79	9	and	and	CCONJ
cana-1241	79	10	feature	feature	NOUN
cana-1241	79	11	selection	selection	NOUN
cana-1241	79	12	through	through	ADP
cana-1241	79	13	the	the	DET
cana-1241	79	14	utilization	utilization	NOUN
cana-1241	79	15	of	of	ADP
cana-1241	79	16	filter	filter	NOUN
cana-1241	79	17	method	method	NOUN
cana-1241	79	18	.	.	PUNCT
cana-1241	80	1	notably	notably	ADV
cana-1241	80	2	,	,	PUNCT
cana-1241	80	3	the	the	DET
cana-1241	80	4	research	research	NOUN
cana-1241	80	5	did	do	AUX
cana-1241	80	6	not	not	PART
cana-1241	80	7	incorporate	incorporate	VERB
cana-1241	80	8	data	datum	NOUN
cana-1241	80	9	scaling	scale	VERB
cana-1241	80	10	techniques	technique	NOUN
cana-1241	80	11	or	or	CCONJ
cana-1241	80	12	employ	employ	VERB
cana-1241	80	13	hyperparameter	hyperparameter	NOUN
cana-1241	80	14	tuning	tuning	NOUN
cana-1241	80	15	methods	method	NOUN
cana-1241	80	16	.	.	PUNCT
cana-1241	81	1	farjana	farjana	PROPN
cana-1241	81	2	et	et	PROPN
cana-1241	81	3	al	al	PROPN
cana-1241	82	1	[	[	X
cana-1241	82	2	10	10	NUM
cana-1241	82	3	]	]	PUNCT
cana-1241	82	4	emphasis	emphasis	NOUN
cana-1241	82	5	on	on	ADP
cana-1241	82	6	predicting	predict	VERB
cana-1241	82	7	ckd	ckd	PROPN
cana-1241	82	8	through	through	ADP
cana-1241	82	9	ml	ml	ADP
cana-1241	82	10	methods	method	NOUN
cana-1241	82	11	utilizing	utilize	VERB
cana-1241	82	12	the	the	DET
cana-1241	82	13	communications	communication	NOUN
cana-1241	82	14	on	on	ADP
cana-1241	82	15	applied	apply	VERB
cana-1241	82	16	nonlinear	nonlinear	ADJ
cana-1241	82	17	analysis	analysis	NOUN
cana-1241	82	18	issn	issn	NOUN
cana-1241	82	19	:	:	PUNCT
cana-1241	82	20	1074	1074	NUM
cana-1241	82	21	-	-	PUNCT
cana-1241	82	22	133x	133x	NUM
cana-1241	82	23	vol	vol	NOUN
cana-1241	82	24	31	31	NUM
cana-1241	82	25	no	no	NOUN
cana-1241	82	26	.	.	PUNCT
cana-1241	83	1	6s	6s	NUM
cana-1241	83	2	(	(	PUNCT
cana-1241	83	3	2024	2024	NUM
cana-1241	83	4	)	)	PUNCT
cana-1241	83	5	527	527	NUM
cana-1241	83	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1241	83	7	datasets	dataset	NOUN
cana-1241	83	8	.	.	PUNCT
cana-1241	84	1	the	the	DET
cana-1241	84	2	scholars	scholar	NOUN
cana-1241	84	3	addressed	address	VERB
cana-1241	84	4	missing	miss	VERB
cana-1241	84	5	information	information	NOUN
cana-1241	84	6	by	by	ADP
cana-1241	84	7	imputing	impute	VERB
cana-1241	84	8	average	average	ADJ
cana-1241	84	9	numerical	numerical	ADJ
cana-1241	84	10	data	datum	NOUN
cana-1241	84	11	and	and	CCONJ
cana-1241	84	12	implemented	implement	VERB
cana-1241	84	13	withhold	withhold	VERB
cana-1241	84	14	authentication	authentication	NOUN
cana-1241	84	15	.	.	PUNCT
cana-1241	85	1	light	light	PROPN
cana-1241	85	2	gbm	gbm	PROPN
cana-1241	85	3	showcased	showcase	VERB
cana-1241	85	4	highest	high	ADJ
cana-1241	85	5	proficiency	proficiency	NOUN
cana-1241	85	6	;	;	PUNCT
cana-1241	85	7	however	however	ADV
cana-1241	85	8	,	,	PUNCT
cana-1241	85	9	the	the	DET
cana-1241	85	10	research	research	NOUN
cana-1241	85	11	did	do	AUX
cana-1241	85	12	not	not	PART
cana-1241	85	13	incorporate	incorporate	VERB
cana-1241	85	14	advanced	advanced	ADJ
cana-1241	85	15	outlier	outlier	NOUN
cana-1241	85	16	handling	handling	NOUN
cana-1241	85	17	,	,	PUNCT
cana-1241	85	18	imputation	imputation	NOUN
cana-1241	85	19	techniques	technique	NOUN
cana-1241	85	20	,	,	PUNCT
cana-1241	85	21	feature	feature	NOUN
cana-1241	85	22	selection	selection	NOUN
cana-1241	85	23	,	,	PUNCT
cana-1241	85	24	data	datum	NOUN
cana-1241	85	25	scaling	scaling	NOUN
cana-1241	85	26	,	,	PUNCT
cana-1241	85	27	or	or	CCONJ
cana-1241	85	28	model	model	NOUN
cana-1241	85	29	optimization	optimization	NOUN
cana-1241	85	30	.	.	PUNCT
cana-1241	86	1	islam	islam	PROPN
cana-1241	86	2	et	et	PROPN
cana-1241	86	3	al	al	PROPN
cana-1241	87	1	[	[	X
cana-1241	87	2	11	11	NUM
cana-1241	87	3	]	]	PUNCT
cana-1241	87	4	describes	describe	VERB
cana-1241	87	5	ml	ml	NOUN
cana-1241	87	6	methods	method	NOUN
cana-1241	87	7	were	be	AUX
cana-1241	87	8	employed	employ	VERB
cana-1241	87	9	to	to	PART
cana-1241	87	10	estimate	estimate	VERB
cana-1241	87	11	ckd	ckd	PROPN
cana-1241	87	12	.	.	PUNCT
cana-1241	88	1	the	the	DET
cana-1241	88	2	study	study	NOUN
cana-1241	88	3	utilized	utilize	VERB
cana-1241	88	4	mode	mode	NOUN
cana-1241	88	5	and	and	CCONJ
cana-1241	88	6	mean	mean	VERB
cana-1241	88	7	methods	method	NOUN
cana-1241	88	8	to	to	PART
cana-1241	88	9	handle	handle	VERB
cana-1241	88	10	missing	miss	VERB
cana-1241	88	11	information	information	NOUN
cana-1241	88	12	and	and	CCONJ
cana-1241	88	13	applied	apply	VERB
cana-1241	88	14	principal	principal	ADJ
cana-1241	88	15	component	component	NOUN
cana-1241	88	16	analysis	analysis	NOUN
cana-1241	88	17	for	for	ADP
cana-1241	88	18	feature	feature	NOUN
cana-1241	88	19	selection	selection	NOUN
cana-1241	88	20	and	and	CCONJ
cana-1241	88	21	recursive	recursive	ADJ
cana-1241	88	22	feature	feature	NOUN
cana-1241	88	23	elimination	elimination	NOUN
cana-1241	88	24	.	.	PUNCT
cana-1241	89	1	hassan	hassan	PROPN
cana-1241	89	2	et	et	PROPN
cana-1241	89	3	al	al	PROPN
cana-1241	89	4	.	.	PUNCT
cana-1241	90	1	[	[	X
cana-1241	90	2	12	12	NUM
cana-1241	90	3	]	]	PUNCT
cana-1241	90	4	focuses	focus	VERB
cana-1241	90	5	by	by	ADP
cana-1241	90	6	using	use	VERB
cana-1241	90	7	ml	ml	NOUN
cana-1241	90	8	to	to	PART
cana-1241	90	9	predict	predict	VERB
cana-1241	90	10	ckd	ckd	PROPN
cana-1241	90	11	by	by	ADP
cana-1241	90	12	analyzing	analyze	VERB
cana-1241	90	13	patients	patient	NOUN
cana-1241	90	14	'	'	PART
cana-1241	90	15	clinical	clinical	ADJ
cana-1241	90	16	records	record	NOUN
cana-1241	90	17	.	.	PUNCT
cana-1241	91	1	predictive	predictive	ADJ
cana-1241	91	2	mean	mean	NOUN
cana-1241	91	3	matching	matching	NOUN
cana-1241	91	4	was	be	AUX
cana-1241	91	5	employed	employ	VERB
cana-1241	91	6	to	to	PART
cana-1241	91	7	impute	impute	VERB
cana-1241	91	8	missing	missing	ADJ
cana-1241	91	9	data	datum	NOUN
cana-1241	91	10	,	,	PUNCT
cana-1241	91	11	followed	follow	VERB
cana-1241	91	12	by	by	ADP
cana-1241	91	13	k	k	PROPN
cana-1241	91	14	-	-	PUNCT
cana-1241	91	15	means	mean	VERB
cana-1241	91	16	clustering	cluster	VERB
cana-1241	91	17	analysis	analysis	NOUN
cana-1241	91	18	on	on	ADP
cana-1241	91	19	the	the	DET
cana-1241	91	20	dataset	dataset	NOUN
cana-1241	91	21	.	.	PUNCT
cana-1241	92	1	the	the	DET
cana-1241	92	2	researchers	researcher	NOUN
cana-1241	92	3	adopted	adopt	VERB
cana-1241	92	4	the	the	DET
cana-1241	92	5	xtreme	xtreme	PROPN
cana-1241	92	6	gradient	gradient	NOUN
cana-1241	92	7	boosting	boost	VERB
cana-1241	92	8	(	(	PUNCT
cana-1241	92	9	xgb	xgb	NOUN
cana-1241	92	10	)	)	PUNCT
cana-1241	92	11	approach	approach	NOUN
cana-1241	92	12	alongside	alongside	ADP
cana-1241	92	13	shapley	shapley	PROPN
cana-1241	92	14	additive	additive	PROPN
cana-1241	92	15	explanations(shap	explanations(shap	PROPN
cana-1241	92	16	)	)	PUNCT
cana-1241	92	17	value	value	NOUN
cana-1241	92	18	evaluation	evaluation	NOUN
cana-1241	92	19	for	for	ADP
cana-1241	92	20	feature	feature	NOUN
cana-1241	92	21	selection	selection	NOUN
cana-1241	92	22	.	.	PUNCT
cana-1241	93	1	nonetheless	nonetheless	ADV
cana-1241	93	2	,	,	PUNCT
cana-1241	93	3	scaling	scale	VERB
cana-1241	93	4	methods	method	NOUN
cana-1241	93	5	or	or	CCONJ
cana-1241	93	6	hyperparameter	hyperparameter	NOUN
cana-1241	93	7	optimization	optimization	NOUN
cana-1241	93	8	were	be	AUX
cana-1241	93	9	not	not	PART
cana-1241	93	10	integrated	integrate	VERB
cana-1241	93	11	into	into	ADP
cana-1241	93	12	the	the	DET
cana-1241	93	13	study	study	NOUN
cana-1241	93	14	.	.	PUNCT
cana-1241	94	1	kaur	kaur	PROPN
cana-1241	94	2	et	et	PROPN
cana-1241	94	3	al	al	PROPN
cana-1241	94	4	.	.	PUNCT
cana-1241	95	1	[	[	X
cana-1241	95	2	13	13	NUM
cana-1241	95	3	]	]	PUNCT
cana-1241	95	4	discusses	discuss	VERB
cana-1241	95	5	ml	ml	ADP
cana-1241	95	6	methods	method	NOUN
cana-1241	95	7	for	for	ADP
cana-1241	95	8	ckd	ckd	NOUN
cana-1241	95	9	prediction	prediction	NOUN
cana-1241	95	10	where	where	SCONJ
cana-1241	95	11	mcar	mcar	ADJ
cana-1241	95	12	test	test	NOUN
cana-1241	95	13	was	be	AUX
cana-1241	95	14	performed	perform	VERB
cana-1241	95	15	to	to	PART
cana-1241	95	16	investigate	investigate	VERB
cana-1241	95	17	the	the	DET
cana-1241	95	18	absence	absence	NOUN
cana-1241	95	19	of	of	ADP
cana-1241	95	20	data	datum	NOUN
cana-1241	95	21	,	,	PUNCT
cana-1241	95	22	while	while	SCONJ
cana-1241	95	23	the	the	DET
cana-1241	95	24	feature	feature	NOUN
cana-1241	95	25	selection	selection	NOUN
cana-1241	95	26	process	process	NOUN
cana-1241	95	27	employed	employ	VERB
cana-1241	95	28	the	the	DET
cana-1241	95	29	ant	ant	ADJ
cana-1241	95	30	colony	colony	NOUN
cana-1241	95	31	optimization	optimization	NOUN
cana-1241	95	32	algorithm	algorithm	NOUN
cana-1241	95	33	.	.	PUNCT
cana-1241	96	1	ensemble	ensemble	ADJ
cana-1241	96	2	methods	method	NOUN
cana-1241	96	3	were	be	AUX
cana-1241	96	4	applied	apply	VERB
cana-1241	96	5	,	,	PUNCT
cana-1241	96	6	with	with	ADP
cana-1241	96	7	bagging	bagging	NOUN
cana-1241	96	8	yielding	yield	VERB
cana-1241	96	9	the	the	DET
cana-1241	96	10	most	most	ADV
cana-1241	96	11	promising	promising	ADJ
cana-1241	96	12	outcomes	outcome	NOUN
cana-1241	96	13	.	.	PUNCT
cana-1241	97	1	nonetheless	nonetheless	ADV
cana-1241	97	2	,	,	PUNCT
cana-1241	97	3	the	the	DET
cana-1241	97	4	research	research	NOUN
cana-1241	97	5	did	do	AUX
cana-1241	97	6	not	not	PART
cana-1241	97	7	incorporate	incorporate	VERB
cana-1241	97	8	cross	cross	ADJ
cana-1241	97	9	-	-	ADJ
cana-1241	97	10	validation	validation	ADJ
cana-1241	97	11	,	,	PUNCT
cana-1241	97	12	scaling	scale	VERB
cana-1241	97	13	techniques	technique	NOUN
cana-1241	97	14	or	or	CCONJ
cana-1241	97	15	hyperparameter	hyperparameter	NOUN
cana-1241	97	16	optimization	optimization	NOUN
cana-1241	97	17	methods	method	NOUN
cana-1241	97	18	.	.	PUNCT
cana-1241	98	1	p.	p.	NOUN
cana-1241	98	2	chittora	chittora	PROPN
cana-1241	98	3	et	et	PROPN
cana-1241	98	4	al	al	PROPN
cana-1241	98	5	.	.	PUNCT
cana-1241	99	1	[	[	X
cana-1241	99	2	14	14	NUM
cana-1241	99	3	]	]	PUNCT
cana-1241	99	4	describes	describe	VERB
cana-1241	99	5	rapid	rapid	ADJ
cana-1241	99	6	expansion	expansion	NOUN
cana-1241	99	7	of	of	ADP
cana-1241	99	8	electronic	electronic	ADJ
cana-1241	99	9	healthcare	healthcare	NOUN
cana-1241	99	10	databases	database	NOUN
cana-1241	99	11	is	be	AUX
cana-1241	99	12	directly	directly	ADV
cana-1241	99	13	contributing	contribute	VERB
cana-1241	99	14	to	to	ADP
cana-1241	99	15	the	the	DET
cana-1241	99	16	increasing	increase	VERB
cana-1241	99	17	prevalence	prevalence	NOUN
cana-1241	99	18	of	of	ADP
cana-1241	99	19	ml	ml	NOUN
cana-1241	99	20	methods	method	NOUN
cana-1241	99	21	in	in	ADP
cana-1241	99	22	the	the	DET
cana-1241	99	23	healthcare	healthcare	NOUN
cana-1241	99	24	sector	sector	NOUN
cana-1241	99	25	.	.	PUNCT
cana-1241	100	1	a	a	DET
cana-1241	100	2	further	further	ADJ
cana-1241	100	3	approach	approach	NOUN
cana-1241	100	4	based	base	VERB
cana-1241	100	5	on	on	ADP
cana-1241	100	6	recursive	recursive	ADJ
cana-1241	100	7	feature	feature	NOUN
cana-1241	100	8	elimination	elimination	NOUN
cana-1241	100	9	(	(	PUNCT
cana-1241	100	10	rfe	rfe	PROPN
cana-1241	100	11	)	)	PUNCT
cana-1241	100	12	is	be	AUX
cana-1241	100	13	presented	present	VERB
cana-1241	100	14	by	by	ADP
cana-1241	100	15	e.	e.	PROPN
cana-1241	100	16	m.	m.	PROPN
cana-1241	100	17	senan	senan	PROPN
cana-1241	100	18	et	et	PROPN
cana-1241	100	19	al	al	PROPN
cana-1241	100	20	.	.	PUNCT
cana-1241	101	1	[	[	X
cana-1241	101	2	15	15	NUM
cana-1241	101	3	]	]	PUNCT
cana-1241	101	4	.	.	PUNCT
cana-1241	102	1	the	the	DET
cana-1241	102	2	rfe	rfe	PROPN
cana-1241	102	3	approach	approach	NOUN
cana-1241	102	4	was	be	AUX
cana-1241	102	5	utilized	utilize	VERB
cana-1241	102	6	to	to	PART
cana-1241	102	7	select	select	VERB
cana-1241	102	8	the	the	DET
cana-1241	102	9	ckd	ckd	NOUN
cana-1241	102	10	traits	trait	NOUN
cana-1241	102	11	that	that	PRON
cana-1241	102	12	were	be	AUX
cana-1241	102	13	most	most	ADV
cana-1241	102	14	highly	highly	ADV
cana-1241	102	15	representative	representative	ADJ
cana-1241	102	16	.	.	PUNCT
cana-1241	103	1	to	to	PART
cana-1241	103	2	categorize	categorize	VERB
cana-1241	103	3	the	the	DET
cana-1241	103	4	characteristics	characteristic	NOUN
cana-1241	103	5	,	,	PUNCT
cana-1241	103	6	knn	knn	PROPN
cana-1241	103	7	,	,	PUNCT
cana-1241	103	8	svm	svm	PROPN
cana-1241	103	9	,	,	PUNCT
cana-1241	103	10	rf	rf	NOUN
cana-1241	103	11	and	and	CCONJ
cana-1241	103	12	decision	decision	NOUN
cana-1241	103	13	trees	tree	NOUN
cana-1241	103	14	were	be	AUX
cana-1241	103	15	employed	employ	VERB
cana-1241	103	16	.	.	PUNCT
cana-1241	104	1	all	all	DET
cana-1241	104	2	techniques	technique	NOUN
cana-1241	104	3	yielded	yield	VERB
cana-1241	104	4	promising	promising	ADJ
cana-1241	104	5	results	result	NOUN
cana-1241	104	6	,	,	PUNCT
cana-1241	104	7	and	and	CCONJ
cana-1241	104	8	all	all	DET
cana-1241	104	9	classifier	classifier	NOUN
cana-1241	104	10	factors	factor	NOUN
cana-1241	104	11	were	be	AUX
cana-1241	104	12	adjusted	adjust	VERB
cana-1241	104	13	to	to	PART
cana-1241	104	14	deliver	deliver	VERB
cana-1241	104	15	the	the	DET
cana-1241	104	16	best	good	ADJ
cana-1241	104	17	classification	classification	NOUN
cana-1241	104	18	outcomes	outcome	NOUN
cana-1241	104	19	.	.	PUNCT
cana-1241	105	1	the	the	DET
cana-1241	105	2	rf	rf	NOUN
cana-1241	105	3	technique	technique	NOUN
cana-1241	105	4	outperformed	outperform	VERB
cana-1241	105	5	all	all	DET
cana-1241	105	6	other	other	ADJ
cana-1241	105	7	approaches	approach	NOUN
cana-1241	105	8	by	by	ADP
cana-1241	105	9	all	all	DET
cana-1241	105	10	parameters	parameter	NOUN
cana-1241	105	11	.	.	PUNCT
cana-1241	106	1	the	the	DET
cana-1241	106	2	framework	framework	NOUN
cana-1241	106	3	underwent	undergo	VERB
cana-1241	106	4	scrutiny	scrutiny	NOUN
cana-1241	106	5	and	and	CCONJ
cana-1241	106	6	assessment	assessment	NOUN
cana-1241	106	7	via	via	ADP
cana-1241	106	8	multiclass	multiclass	ADJ
cana-1241	106	9	statistical	statistical	ADJ
cana-1241	106	10	methods	method	NOUN
cana-1241	106	11	.	.	PUNCT
cana-1241	107	1	observed	observe	VERB
cana-1241	107	2	outcomes	outcome	NOUN
cana-1241	107	3	from	from	ADP
cana-1241	107	4	decision	decision	NOUN
cana-1241	107	5	tree	tree	NOUN
cana-1241	107	6	(	(	PUNCT
cana-1241	107	7	dt	dt	PROPN
cana-1241	107	8	)	)	PUNCT
cana-1241	107	9	,	,	PUNCT
cana-1241	107	10	knn	knn	PROPN
cana-1241	107	11	and	and	CCONJ
cana-1241	107	12	svm	svm	ADJ
cana-1241	107	13	methods	method	NOUN
cana-1241	107	14	disclosed	disclose	VERB
cana-1241	107	15	significant	significant	ADJ
cana-1241	107	16	performance	performance	NOUN
cana-1241	107	17	measurement	measurement	NOUN
cana-1241	107	18	of	of	ADP
cana-1241	107	19	99.17	99.17	NUM
cana-1241	107	20	%	%	NOUN
cana-1241	107	21	,	,	PUNCT
cana-1241	107	22	98.53	98.53	NUM
cana-1241	107	23	%	%	NOUN
cana-1241	107	24	,	,	PUNCT
cana-1241	107	25	and	and	CCONJ
cana-1241	107	26	96.67	96.67	NUM
cana-1241	107	27	%	%	NOUN
cana-1241	107	28	.	.	PUNCT
cana-1241	108	1	hossain	hossain	PROPN
cana-1241	108	2	,	,	PUNCT
cana-1241	108	3	m.	m.	NOUN
cana-1241	109	1	[	[	X
cana-1241	109	2	16	16	NUM
cana-1241	109	3	]	]	PUNCT
cana-1241	109	4	describes	describe	VERB
cana-1241	109	5	several	several	ADJ
cana-1241	109	6	feature	feature	NOUN
cana-1241	109	7	optimization	optimization	NOUN
cana-1241	109	8	strategies	strategy	NOUN
cana-1241	109	9	were	be	AUX
cana-1241	109	10	detailed	detail	VERB
cana-1241	109	11	to	to	PART
cana-1241	109	12	examine	examine	VERB
cana-1241	109	13	their	their	PRON
cana-1241	109	14	impact	impact	NOUN
cana-1241	109	15	on	on	ADP
cana-1241	109	16	the	the	DET
cana-1241	109	17	efficiency	efficiency	NOUN
cana-1241	109	18	of	of	ADP
cana-1241	109	19	the	the	DET
cana-1241	109	20	ml	ml	NOUN
cana-1241	109	21	algorithms	algorithm	NOUN
cana-1241	109	22	,	,	PUNCT
cana-1241	109	23	which	which	PRON
cana-1241	109	24	was	be	AUX
cana-1241	109	25	evaluated	evaluate	VERB
cana-1241	109	26	on	on	ADP
cana-1241	109	27	five	five	NUM
cana-1241	109	28	prominent	prominent	ADJ
cana-1241	109	29	classification	classification	NOUN
cana-1241	109	30	methods	method	NOUN
cana-1241	109	31	,	,	PUNCT
cana-1241	109	32	in	in	ADP
cana-1241	109	33	order	order	NOUN
cana-1241	109	34	to	to	PART
cana-1241	109	35	properly	properly	ADV
cana-1241	109	36	select	select	VERB
cana-1241	109	37	the	the	DET
cana-1241	109	38	feature	feature	NOUN
cana-1241	109	39	subset	subset	NOUN
cana-1241	109	40	.	.	PUNCT
cana-1241	110	1	experiments	experiment	NOUN
cana-1241	110	2	using	use	VERB
cana-1241	110	3	xgb	xgb	NUM
cana-1241	110	4	,	,	PUNCT
cana-1241	110	5	rf	rf	PROPN
cana-1241	110	6	,	,	PUNCT
cana-1241	110	7	knn	knn	PROPN
cana-1241	110	8	,	,	PUNCT
cana-1241	110	9	svm	svm	ADJ
cana-1241	110	10	and	and	CCONJ
cana-1241	110	11	logistic	logistic	ADJ
cana-1241	110	12	regression	regression	NOUN
cana-1241	110	13	have	have	AUX
cana-1241	110	14	demonstrated	demonstrate	VERB
cana-1241	110	15	that	that	SCONJ
cana-1241	110	16	the	the	DET
cana-1241	110	17	model	model	NOUN
cana-1241	110	18	's	's	PART
cana-1241	110	19	accuracy	accuracy	NOUN
cana-1241	110	20	can	can	AUX
cana-1241	110	21	be	be	AUX
cana-1241	110	22	improved	improve	VERB
cana-1241	110	23	by	by	ADP
cana-1241	110	24	employing	employ	VERB
cana-1241	110	25	a	a	DET
cana-1241	110	26	linear	linear	ADJ
cana-1241	110	27	discriminant	discriminant	ADJ
cana-1241	110	28	analysis	analysis	NOUN
cana-1241	110	29	(	(	PUNCT
cana-1241	110	30	lda	lda	NOUN
cana-1241	110	31	)	)	PUNCT
cana-1241	110	32	feature	feature	NOUN
cana-1241	110	33	selection	selection	NOUN
cana-1241	110	34	tool	tool	NOUN
cana-1241	110	35	that	that	PRON
cana-1241	110	36	yields	yield	VERB
cana-1241	110	37	the	the	DET
cana-1241	110	38	best	good	ADJ
cana-1241	110	39	possible	possible	ADJ
cana-1241	110	40	outcome	outcome	NOUN
cana-1241	110	41	.	.	PUNCT
cana-1241	111	1	hussianzadah	hussianzadah	PROPN
cana-1241	112	1	[	[	X
cana-1241	112	2	17	17	NUM
cana-1241	112	3	]	]	PUNCT
cana-1241	112	4	introduces	introduce	VERB
cana-1241	112	5	a	a	DET
cana-1241	112	6	diagnostic	diagnostic	ADJ
cana-1241	112	7	method	method	NOUN
cana-1241	112	8	for	for	ADP
cana-1241	112	9	ckd	ckd	PROPN
cana-1241	112	10	employing	employ	VERB
cana-1241	112	11	four	four	NUM
cana-1241	112	12	distinct	distinct	ADJ
cana-1241	112	13	classifiers	classifier	NOUN
cana-1241	112	14	:	:	PUNCT
cana-1241	112	15	svm	svm	PROPN
cana-1241	112	16	,	,	PUNCT
cana-1241	112	17	dt	dt	ADP
cana-1241	112	18	classifier	classifier	NOUN
cana-1241	112	19	,	,	PUNCT
cana-1241	112	20	naive	naive	ADJ
cana-1241	112	21	bayes	bayes	NOUN
cana-1241	112	22	classifiers	classifier	NOUN
cana-1241	112	23	and	and	CCONJ
cana-1241	112	24	multi	multi	ADJ
cana-1241	112	25	-	-	ADJ
cana-1241	112	26	layer	layer	ADJ
cana-1241	112	27	perception	perception	NOUN
cana-1241	112	28	(	(	PUNCT
cana-1241	112	29	mlp	mlp	NOUN
cana-1241	112	30	)	)	PUNCT
cana-1241	112	31	.	.	PUNCT
cana-1241	113	1	these	these	DET
cana-1241	113	2	classifiers	classifier	NOUN
cana-1241	113	3	were	be	AUX
cana-1241	113	4	employed	employ	VERB
cana-1241	113	5	to	to	ADP
cana-1241	113	6	three	three	NUM
cana-1241	113	7	individual	individual	ADJ
cana-1241	113	8	datasets	dataset	NOUN
cana-1241	113	9	,	,	PUNCT
cana-1241	113	10	each	each	PRON
cana-1241	113	11	containing	contain	VERB
cana-1241	113	12	corresponding	correspond	VERB
cana-1241	113	13	values	value	NOUN
cana-1241	113	14	14	14	NUM
cana-1241	113	15	,	,	PUNCT
cana-1241	113	16	12	12	NUM
cana-1241	113	17	,	,	PUNCT
cana-1241	113	18	and	and	CCONJ
cana-1241	113	19	13	13	NUM
cana-1241	113	20	.	.	PUNCT
cana-1241	114	1	the	the	DET
cana-1241	114	2	svm	svm	PROPN
cana-1241	114	3	classifier	classifier	NOUN
cana-1241	114	4	,	,	PUNCT
cana-1241	114	5	which	which	PRON
cana-1241	114	6	achieved	achieve	VERB
cana-1241	114	7	an	an	DET
cana-1241	114	8	accuracy	accuracy	NOUN
cana-1241	114	9	of	of	ADP
cana-1241	114	10	91	91	NUM
cana-1241	114	11	%	%	NOUN
cana-1241	114	12	,	,	PUNCT
cana-1241	114	13	was	be	AUX
cana-1241	114	14	of	of	ADP
cana-1241	114	15	particular	particular	ADJ
cana-1241	114	16	interest	interest	NOUN
cana-1241	114	17	in	in	ADP
cana-1241	114	18	the	the	DET
cana-1241	114	19	study	study	NOUN
cana-1241	114	20	.	.	PUNCT
cana-1241	115	1	krishnamurthy	krishnamurthy	PROPN
cana-1241	115	2	et	et	PROPN
cana-1241	115	3	al	al	PROPN
cana-1241	115	4	.	.	PUNCT
cana-1241	116	1	[	[	X
cana-1241	116	2	18	18	NUM
cana-1241	116	3	]	]	PUNCT
cana-1241	116	4	discusses	discuss	VERB
cana-1241	116	5	several	several	ADJ
cana-1241	116	6	ai	ai	NOUN
cana-1241	116	7	models	model	NOUN
cana-1241	116	8	for	for	ADP
cana-1241	116	9	ckd	ckd	PROPN
cana-1241	116	10	prediction	prediction	NOUN
cana-1241	116	11	.	.	PUNCT
cana-1241	117	1	the	the	DET
cana-1241	117	2	lightgbm	lightgbm	ADJ
cana-1241	117	3	approach	approach	NOUN
cana-1241	117	4	identified	identify	VERB
cana-1241	117	5	crucial	crucial	ADJ
cana-1241	117	6	attributes	attribute	NOUN
cana-1241	117	7	for	for	ADP
cana-1241	117	8	ckd	ckd	PROPN
cana-1241	117	9	forecast	forecast	PROPN
cana-1241	117	10	,	,	PUNCT
cana-1241	117	11	including	include	VERB
cana-1241	117	12	age	age	NOUN
cana-1241	117	13	,	,	PUNCT
cana-1241	117	14	gout	gout	NOUN
cana-1241	117	15	,	,	PUNCT
cana-1241	117	16	angiotensins	angiotensin	NOUN
cana-1241	117	17	and	and	CCONJ
cana-1241	117	18	sulfonamides	sulfonamide	NOUN
cana-1241	117	19	.	.	PUNCT
cana-1241	118	1	convolutional	convolutional	ADJ
cana-1241	118	2	neural	neural	ADJ
cana-1241	118	3	networks	network	NOUN
cana-1241	118	4	exhibited	exhibit	VERB
cana-1241	118	5	the	the	DET
cana-1241	118	6	most	most	ADV
cana-1241	118	7	superior	superior	ADJ
cana-1241	118	8	proficiency	proficiency	NOUN
cana-1241	118	9	,	,	PUNCT
cana-1241	118	10	achieving	achieve	VERB
cana-1241	118	11	the	the	DET
cana-1241	118	12	maximum	maximum	ADJ
cana-1241	118	13	auroc	auroc	NOUN
cana-1241	118	14	metric	metric	NOUN
cana-1241	118	15	of	of	ADP
cana-1241	118	16	0.954	0.954	NUM
cana-1241	118	17	evaluated	evaluate	VERB
cana-1241	118	18	to	to	ADP
cana-1241	118	19	all	all	DET
cana-1241	118	20	other	other	ADJ
cana-1241	118	21	methods	method	NOUN
cana-1241	118	22	.	.	PUNCT
cana-1241	119	1	singh	singh	PROPN
cana-1241	119	2	et	et	PROPN
cana-1241	119	3	al	al	PROPN
cana-1241	119	4	.	.	PUNCT
cana-1241	120	1	[	[	X
cana-1241	120	2	19	19	NUM
cana-1241	120	3	]	]	PUNCT
cana-1241	120	4	introduces	introduce	VERB
cana-1241	120	5	a	a	DET
cana-1241	120	6	novel	novel	ADJ
cana-1241	120	7	hybrid	hybrid	NOUN
cana-1241	120	8	technique	technique	NOUN
cana-1241	120	9	for	for	ADP
cana-1241	120	10	diagnosing	diagnose	VERB
cana-1241	120	11	ckd	ckd	PROPN
cana-1241	120	12	and	and	CCONJ
cana-1241	120	13	attained	attain	VERB
cana-1241	120	14	a	a	DET
cana-1241	120	15	prediction	prediction	NOUN
cana-1241	120	16	accuracy	accuracy	NOUN
cana-1241	120	17	of	of	ADP
cana-1241	120	18	92.5	92.5	NUM
cana-1241	120	19	%	%	NOUN
cana-1241	120	20	.	.	PUNCT
cana-1241	121	1	ifraz	ifraz	NOUN
cana-1241	121	2	et	et	PROPN
cana-1241	121	3	al	al	PROPN
cana-1241	121	4	.	.	PUNCT
cana-1241	122	1	[	[	X
cana-1241	122	2	20	20	NUM
cana-1241	122	3	]	]	PUNCT
cana-1241	122	4	focusses	focusse	NOUN
cana-1241	122	5	on	on	ADP
cana-1241	122	6	the	the	DET
cana-1241	122	7	dataset	dataset	NOUN
cana-1241	122	8	and	and	CCONJ
cana-1241	122	9	employed	employ	VERB
cana-1241	122	10	dt	dt	PROPN
cana-1241	122	11	,	,	PUNCT
cana-1241	122	12	knn	knn	PROPN
cana-1241	122	13	and	and	CCONJ
cana-1241	122	14	lr	lr	PROPN
cana-1241	122	15	methods	method	NOUN
cana-1241	122	16	to	to	PART
cana-1241	122	17	train	train	VERB
cana-1241	122	18	three	three	NUM
cana-1241	122	19	distinct	distinct	ADJ
cana-1241	122	20	methods	method	NOUN
cana-1241	122	21	for	for	ADP
cana-1241	122	22	ckd	ckd	PROPN
cana-1241	122	23	forecast	forecast	PROPN
cana-1241	122	24	.	.	PUNCT
cana-1241	123	1	lr	lr	PROPN
cana-1241	123	2	attained	attain	VERB
cana-1241	123	3	a	a	DET
cana-1241	123	4	superior	superior	ADJ
cana-1241	123	5	performance	performance	NOUN
cana-1241	123	6	rate	rate	NOUN
cana-1241	123	7	of	of	ADP
cana-1241	123	8	97	97	NUM
cana-1241	123	9	%	%	NOUN
cana-1241	123	10	in	in	ADP
cana-1241	123	11	contrast	contrast	NOUN
cana-1241	123	12	to	to	ADP
cana-1241	123	13	dt	dt	NOUN
cana-1241	123	14	with	with	ADP
cana-1241	123	15	96.25	96.25	NUM
cana-1241	123	16	%	%	NOUN
cana-1241	123	17	and	and	CCONJ
cana-1241	123	18	knn	knn	VERB
cana-1241	123	19	with	with	ADP
cana-1241	123	20	71.25	71.25	NUM
cana-1241	123	21	%	%	NOUN
cana-1241	123	22	.	.	PUNCT
cana-1241	124	1	communications	communication	NOUN
cana-1241	124	2	on	on	ADP
cana-1241	124	3	applied	apply	VERB
cana-1241	124	4	nonlinear	nonlinear	ADJ
cana-1241	124	5	analysis	analysis	NOUN
cana-1241	124	6	issn	issn	NOUN
cana-1241	124	7	:	:	PUNCT
cana-1241	124	8	1074	1074	NUM
cana-1241	124	9	-	-	PUNCT
cana-1241	124	10	133x	133x	NUM
cana-1241	124	11	vol	vol	NOUN
cana-1241	124	12	31	31	NUM
cana-1241	124	13	no	no	NOUN
cana-1241	124	14	.	.	PUNCT
cana-1241	125	1	6s	6s	NUM
cana-1241	125	2	(	(	PUNCT
cana-1241	125	3	2024	2024	NUM
cana-1241	125	4	)	)	PUNCT
cana-1241	125	5	528	528	NUM
cana-1241	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	125	7	research	research	NOUN
cana-1241	125	8	methodology	methodology	NOUN
cana-1241	125	9	the	the	DET
cana-1241	125	10	research	research	NOUN
cana-1241	125	11	employed	employ	VERB
cana-1241	125	12	the	the	DET
cana-1241	125	13	ckd	ckd	PROPN
cana-1241	125	14	dataset	dataset	NOUN
cana-1241	126	1	[	[	X
cana-1241	126	2	21	21	NUM
cana-1241	126	3	]	]	PUNCT
cana-1241	126	4	.	.	PUNCT
cana-1241	127	1	this	this	DET
cana-1241	127	2	dataset	dataset	NOUN
cana-1241	127	3	has	have	VERB
cana-1241	127	4	523	523	NUM
cana-1241	127	5	rows	row	NOUN
cana-1241	127	6	and	and	CCONJ
cana-1241	127	7	27	27	NUM
cana-1241	127	8	columns	column	NOUN
cana-1241	127	9	is	be	AUX
cana-1241	127	10	shown	show	VERB
cana-1241	127	11	in	in	ADP
cana-1241	127	12	figure.1	figure.1	PROPN
cana-1241	127	13	.	.	PUNCT
cana-1241	128	1	the	the	DET
cana-1241	128	2	result	result	NOUN
cana-1241	128	3	of	of	ADP
cana-1241	128	4	the	the	DET
cana-1241	128	5	column	column	NOUN
cana-1241	128	6	"	"	PUNCT
cana-1241	128	7	class	class	NOUN
cana-1241	128	8	"	"	PUNCT
cana-1241	128	9	has	have	VERB
cana-1241	128	10	two	two	NUM
cana-1241	128	11	distinct	distinct	ADJ
cana-1241	128	12	potential	potential	ADJ
cana-1241	128	13	values	value	NOUN
cana-1241	128	14	:	:	PUNCT
cana-1241	128	15	"	"	PUNCT
cana-1241	128	16	1	1	NUM
cana-1241	128	17	"	"	PUNCT
cana-1241	128	18	and	and	CCONJ
cana-1241	128	19	"	"	PUNCT
cana-1241	128	20	0	0	X
cana-1241	128	21	.	.	PUNCT
cana-1241	128	22	"	"	PUNCT
cana-1241	129	1	a	a	DET
cana-1241	129	2	number	number	NOUN
cana-1241	129	3	of	of	ADP
cana-1241	129	4	"	"	PUNCT
cana-1241	129	5	0	0	NUM
cana-1241	129	6	"	"	PUNCT
cana-1241	129	7	signifies	signify	VERB
cana-1241	129	8	that	that	SCONJ
cana-1241	129	9	the	the	DET
cana-1241	129	10	patient	patient	NOUN
cana-1241	129	11	does	do	AUX
cana-1241	129	12	not	not	PART
cana-1241	129	13	have	have	VERB
cana-1241	129	14	ckd	ckd	PROPN
cana-1241	129	15	,	,	PUNCT
cana-1241	129	16	whereas	whereas	SCONJ
cana-1241	129	17	a	a	DET
cana-1241	129	18	value	value	NOUN
cana-1241	129	19	of	of	ADP
cana-1241	129	20	"	"	PUNCT
cana-1241	129	21	1	1	NUM
cana-1241	129	22	"	"	PUNCT
cana-1241	129	23	suggests	suggest	VERB
cana-1241	129	24	that	that	SCONJ
cana-1241	129	25	ckd	ckd	PROPN
cana-1241	129	26	.	.	PROPN
cana-1241	130	1	prior	prior	ADV
cana-1241	130	2	to	to	ADP
cana-1241	130	3	pre	pre	ADJ
cana-1241	130	4	-	-	ADJ
cana-1241	130	5	processing	processing	ADJ
cana-1241	130	6	,	,	PUNCT
cana-1241	130	7	there	there	PRON
cana-1241	130	8	were	be	VERB
cana-1241	130	9	380	380	NUM
cana-1241	130	10	total	total	ADJ
cana-1241	130	11	ckd	ckd	PROPN
cana-1241	130	12	data	datum	NOUN
cana-1241	130	13	and	and	CCONJ
cana-1241	130	14	143	143	NUM
cana-1241	130	15	total	total	ADJ
cana-1241	130	16	non	non	ADJ
cana-1241	130	17	-	-	ADJ
cana-1241	130	18	ckd	ckd	ADJ
cana-1241	130	19	data	datum	NOUN
cana-1241	130	20	points	point	NOUN
cana-1241	130	21	.	.	PUNCT
cana-1241	131	1	figure	figure	NOUN
cana-1241	131	2	2	2	NUM
cana-1241	131	3	.	.	PUNCT
cana-1241	131	4	illustrates	illustrate	VERB
cana-1241	131	5	how	how	SCONJ
cana-1241	131	6	age	age	NOUN
cana-1241	131	7	is	be	AUX
cana-1241	131	8	grouped	group	VERB
cana-1241	131	9	according	accord	VERB
cana-1241	131	10	to	to	ADP
cana-1241	131	11	gender	gender	NOUN
cana-1241	131	12	.	.	PUNCT
cana-1241	132	1	figure.1	figure.1	PROPN
cana-1241	132	2	ckd	ckd	PROPN
cana-1241	132	3	dataset	dataset	VERB
cana-1241	132	4	of	of	ADP
cana-1241	132	5	523	523	NUM
cana-1241	132	6	rows	row	NOUN
cana-1241	132	7	and	and	CCONJ
cana-1241	132	8	27	27	NUM
cana-1241	132	9	columns	column	NOUN
cana-1241	132	10	figure	figure	VERB
cana-1241	132	11	2	2	NUM
cana-1241	132	12	grouping	group	VERB
cana-1241	132	13	the	the	DET
cana-1241	132	14	age	age	NOUN
cana-1241	132	15	by	by	ADP
cana-1241	132	16	children	child	NOUN
cana-1241	132	17	and	and	CCONJ
cana-1241	132	18	adult	adult	NOUN
cana-1241	132	19	measurement	measurement	NOUN
cana-1241	132	20	of	of	ADP
cana-1241	132	21	creatinine	creatinine	NOUN
cana-1241	132	22	levels	level	NOUN
cana-1241	132	23	to	to	PART
cana-1241	132	24	classify	classify	VERB
cana-1241	132	25	the	the	DET
cana-1241	132	26	status	status	NOUN
cana-1241	132	27	of	of	ADP
cana-1241	132	28	ckd	ckd	PROPN
cana-1241	132	29	egfr	egfr	PROPN
cana-1241	132	30	:	:	PUNCT
cana-1241	132	31	a	a	DET
cana-1241	132	32	quick	quick	ADJ
cana-1241	132	33	and	and	CCONJ
cana-1241	132	34	easy	easy	ADJ
cana-1241	132	35	method	method	NOUN
cana-1241	132	36	for	for	SCONJ
cana-1241	132	37	labs	lab	NOUN
cana-1241	132	38	to	to	PART
cana-1241	132	39	assist	assist	VERB
cana-1241	132	40	healthcare	healthcare	NOUN
cana-1241	132	41	professionals	professional	NOUN
cana-1241	132	42	in	in	ADP
cana-1241	132	43	identifying	identify	VERB
cana-1241	132	44	ckd	ckd	PROPN
cana-1241	132	45	serves	serve	VERB
cana-1241	132	46	to	to	PART
cana-1241	132	47	use	use	VERB
cana-1241	132	48	a	a	DET
cana-1241	132	49	traceable	traceable	ADJ
cana-1241	132	50	equation	equation	NOUN
cana-1241	132	51	to	to	PART
cana-1241	132	52	calculate	calculate	VERB
cana-1241	132	53	the	the	DET
cana-1241	132	54	egfr	egfr	NOUN
cana-1241	132	55	using	use	VERB
cana-1241	132	56	serum	serum	NOUN
cana-1241	132	57	creatinine	creatinine	NOUN
cana-1241	132	58	.	.	PUNCT
cana-1241	133	1	providers	provider	NOUN
cana-1241	133	2	may	may	AUX
cana-1241	133	3	be	be	AUX
cana-1241	133	4	able	able	ADJ
cana-1241	133	5	to	to	PART
cana-1241	133	6	determine	determine	VERB
cana-1241	133	7	that	that	SCONJ
cana-1241	133	8	ckd	ckd	PROPN
cana-1241	133	9	is	be	AUX
cana-1241	133	10	present	present	ADJ
cana-1241	133	11	even	even	ADV
cana-1241	133	12	in	in	ADP
cana-1241	133	13	cases	case	NOUN
cana-1241	133	14	when	when	SCONJ
cana-1241	133	15	a	a	DET
cana-1241	133	16	patient	patient	NOUN
cana-1241	133	17	's	's	PART
cana-1241	133	18	blood	blood	NOUN
cana-1241	133	19	creatinine	creatinine	NOUN
cana-1241	133	20	concentration	concentration	NOUN
cana-1241	133	21	seems	seem	VERB
cana-1241	133	22	to	to	PART
cana-1241	133	23	be	be	AUX
cana-1241	133	24	within	within	ADP
cana-1241	133	25	or	or	CCONJ
cana-1241	133	26	slightly	slightly	ADV
cana-1241	133	27	above	above	ADP
cana-1241	133	28	the	the	DET
cana-1241	133	29	standard	standard	ADJ
cana-1241	133	30	baseline	baseline	NOUN
cana-1241	133	31	interval	interval	NOUN
cana-1241	133	32	using	use	VERB
cana-1241	133	33	the	the	DET
cana-1241	133	34	attributes	attribute	NOUN
cana-1241	133	35	of	of	ADP
cana-1241	133	36	age	age	NOUN
cana-1241	133	37	,	,	PUNCT
cana-1241	133	38	gender	gender	NOUN
cana-1241	133	39	,	,	PUNCT
cana-1241	133	40	and	and	CCONJ
cana-1241	133	41	racial	racial	ADJ
cana-1241	133	42	factors	factor	NOUN
cana-1241	133	43	included	include	VERB
cana-1241	133	44	in	in	ADP
cana-1241	133	45	ckd	ckd	NOUN
cana-1241	133	46	-	-	PUNCT
cana-1241	133	47	epi	epi	NOUN
cana-1241	133	48	equations	equation	NOUN
cana-1241	133	49	.	.	PUNCT
cana-1241	134	1	the	the	DET
cana-1241	134	2	recommendations	recommendation	NOUN
cana-1241	134	3	for	for	ADP
cana-1241	134	4	figuring	figure	VERB
cana-1241	134	5	out	out	ADP
cana-1241	134	6	the	the	DET
cana-1241	134	7	adult	adult	NOUN
cana-1241	134	8	gfr	gfr	NOUN
cana-1241	134	9	equation	equation	NOUN
cana-1241	134	10	depending	depend	VERB
cana-1241	134	11	on	on	ADP
cana-1241	134	12	whether	whether	SCONJ
cana-1241	134	13	a	a	DET
cana-1241	134	14	patient	patient	NOUN
cana-1241	134	15	has	have	AUX
cana-1241	134	16	ckd	ckd	NOUN
cana-1241	134	17	or	or	CCONJ
cana-1241	134	18	not	not	PART
cana-1241	134	19	.	.	PUNCT
cana-1241	135	1	a	a	DET
cana-1241	135	2	two	two	NUM
cana-1241	135	3	-	-	PUNCT
cana-1241	135	4	slope	slope	NOUN
cana-1241	135	5	"	"	PUNCT
cana-1241	135	6	spline	spline	NOUN
cana-1241	135	7	"	"	PUNCT
cana-1241	135	8	is	be	AUX
cana-1241	135	9	used	use	VERB
cana-1241	135	10	in	in	ADP
cana-1241	135	11	the	the	DET
cana-1241	135	12	ckd	ckd	NOUN
cana-1241	135	13	-	-	PUNCT
cana-1241	135	14	epi	epi	NOUN
cana-1241	135	15	equation	equation	NOUN
cana-1241	135	16	to	to	PART
cana-1241	135	17	represent	represent	VERB
cana-1241	135	18	a	a	DET
cana-1241	135	19	link	link	NOUN
cana-1241	135	20	between	between	ADP
cana-1241	135	21	serum	serum	NOUN
cana-1241	135	22	creatinine	creatinine	NOUN
cana-1241	135	23	(	(	PUNCT
cana-1241	135	24	sc	sc	PROPN
cana-1241	135	25	)	)	PUNCT
cana-1241	135	26	and	and	CCONJ
cana-1241	135	27	gfr	gfr	PROPN
cana-1241	135	28	.	.	PUNCT
cana-1241	136	1	the	the	DET
cana-1241	136	2	equation	equation	NOUN
cana-1241	136	3	also	also	ADV
cana-1241	136	4	takes	take	VERB
cana-1241	136	5	into	into	ADP
cana-1241	136	6	account	account	NOUN
cana-1241	136	7	a	a	DET
cana-1241	136	8	number	number	NOUN
cana-1241	136	9	of	of	ADP
cana-1241	136	10	other	other	ADJ
cana-1241	136	11	factors	factor	NOUN
cana-1241	136	12	,	,	PUNCT
cana-1241	136	13	such	such	ADJ
cana-1241	136	14	as	as	ADP
cana-1241	136	15	ethnicity	ethnicity	NOUN
cana-1241	136	16	,	,	PUNCT
cana-1241	136	17	sex	sex	NOUN
cana-1241	136	18	,	,	PUNCT
cana-1241	136	19	and	and	CCONJ
cana-1241	136	20	age	age	NOUN
cana-1241	136	21	.	.	PUNCT
cana-1241	137	1	consequently	consequently	ADV
cana-1241	137	2	,	,	PUNCT
cana-1241	137	3	the	the	DET
cana-1241	137	4	formulas	formula	NOUN
cana-1241	137	5	(	(	PUNCT
cana-1241	137	6	1	1	NUM
cana-1241	137	7	)	)	PUNCT
cana-1241	137	8	and	and	CCONJ
cana-1241	137	9	(	(	PUNCT
cana-1241	137	10	2	2	X
cana-1241	137	11	)	)	PUNCT
cana-1241	137	12	that	that	PRON
cana-1241	137	13	have	have	AUX
cana-1241	137	14	been	be	AUX
cana-1241	137	15	stated	state	VERB
cana-1241	137	16	using	use	VERB
cana-1241	137	17	different	different	ADJ
cana-1241	137	18	parameters	parameter	NOUN
cana-1241	137	19	to	to	PART
cana-1241	137	20	compute	compute	VERB
cana-1241	137	21	egfr	egfr	NOUN
cana-1241	137	22	are	be	AUX
cana-1241	137	23	provided	provide	VERB
cana-1241	137	24	below	below	ADV
cana-1241	137	25	.	.	PUNCT
cana-1241	138	1	𝑒𝐺𝐹𝑅	𝑒𝐺𝐹𝑅	AUX
cana-1241	138	2	=	=	SYM
cana-1241	138	3	141	141	NUM
cana-1241	138	4	×	×	NOUN
cana-1241	138	5	(	(	PUNCT
cana-1241	138	6	𝑆𝑐	𝑆𝑐	PROPN
cana-1241	138	7	𝑆	𝑆	PROPN
cana-1241	138	8	,	,	PUNCT
cana-1241	138	9	1⁄	1⁄	NUM
cana-1241	138	10	)	)	PUNCT
cana-1241	138	11	𝛼	𝛼	NOUN
cana-1241	138	12	×	×	NOUN
cana-1241	138	13	(	(	PUNCT
cana-1241	138	14	0.993)𝐴𝑔𝑒	0.993)𝐴𝑔𝑒	NUM
cana-1241	138	15	…	…	PUNCT
cana-1241	138	16	…	…	PUNCT
cana-1241	138	17	……	……	NOUN
cana-1241	138	18	……	……	NOUN
cana-1241	138	19	(	(	PUNCT
cana-1241	138	20	1	1	X
cana-1241	138	21	)	)	PUNCT
cana-1241	138	22	communications	communication	NOUN
cana-1241	138	23	on	on	ADP
cana-1241	138	24	applied	apply	VERB
cana-1241	138	25	nonlinear	nonlinear	ADJ
cana-1241	138	26	analysis	analysis	NOUN
cana-1241	138	27	issn	issn	NOUN
cana-1241	138	28	:	:	PUNCT
cana-1241	138	29	1074	1074	NUM
cana-1241	138	30	-	-	PUNCT
cana-1241	138	31	133x	133x	NUM
cana-1241	138	32	vol	vol	NOUN
cana-1241	138	33	31	31	NUM
cana-1241	138	34	no	no	NOUN
cana-1241	138	35	.	.	PUNCT
cana-1241	139	1	6s	6s	NUM
cana-1241	139	2	(	(	PUNCT
cana-1241	139	3	2024	2024	NUM
cana-1241	139	4	)	)	PUNCT
cana-1241	139	5	529	529	NUM
cana-1241	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	139	7	𝑒𝐺𝐹𝑅	𝑒𝐺𝐹𝑅	NOUN
cana-1241	139	8	=	=	SYM
cana-1241	139	9	144	144	NUM
cana-1241	139	10	×	×	NOUN
cana-1241	139	11	(	(	PUNCT
cana-1241	139	12	𝑆𝑐	𝑆𝑐	PROPN
cana-1241	139	13	𝑆	𝑆	PROPN
cana-1241	139	14	,	,	PUNCT
cana-1241	139	15	1⁄	1⁄	NUM
cana-1241	139	16	)	)	PUNCT
cana-1241	139	17	𝛼	𝛼	NOUN
cana-1241	139	18	×	×	NOUN
cana-1241	139	19	(	(	PUNCT
cana-1241	139	20	0.993)𝐴𝑔𝑒	0.993)𝐴𝑔𝑒	NOUN
cana-1241	139	21	…	…	PUNCT
cana-1241	139	22	.	.	PUNCT
cana-1241	139	23	…	…	PUNCT
cana-1241	139	24	……	……	NOUN
cana-1241	139	25	……	……	NOUN
cana-1241	139	26	(	(	PUNCT
cana-1241	139	27	2	2	NUM
cana-1241	139	28	)	)	PUNCT
cana-1241	139	29	where	where	SCONJ
cana-1241	139	30	,	,	PUNCT
cana-1241	139	31	s	s	X
cana-1241	139	32	represents	represent	VERB
cana-1241	139	33	the	the	DET
cana-1241	139	34	kappa	kappa	ADJ
cana-1241	139	35	factor	factor	NOUN
cana-1241	139	36	is	be	AUX
cana-1241	139	37	0.9	0.9	NUM
cana-1241	139	38	for	for	ADP
cana-1241	139	39	men	man	NOUN
cana-1241	139	40	and	and	CCONJ
cana-1241	139	41	0.7	0.7	NUM
cana-1241	139	42	for	for	ADP
cana-1241	139	43	women	woman	NOUN
cana-1241	139	44	and	and	CCONJ
cana-1241	139	45	α	α	NOUN
cana-1241	139	46	represents	represent	VERB
cana-1241	139	47	sex	sex	NOUN
cana-1241	139	48	alpha	alpha	NOUN
cana-1241	139	49	factor	factor	NOUN
cana-1241	139	50	bun	bun	PROPN
cana-1241	139	51	-	-	PUNCT
cana-1241	139	52	cr	cr	PROPN
cana-1241	139	53	:	:	PUNCT
cana-1241	139	54	it	it	PRON
cana-1241	139	55	uses	use	VERB
cana-1241	139	56	two	two	NUM
cana-1241	139	57	variables	variable	NOUN
cana-1241	139	58	,	,	PUNCT
cana-1241	139	59	creatinine	creatinine	NOUN
cana-1241	139	60	and	and	CCONJ
cana-1241	139	61	blood	blood	NOUN
cana-1241	139	62	urea	urea	NOUN
cana-1241	139	63	nitrogen	nitrogen	NOUN
cana-1241	139	64	,	,	PUNCT
cana-1241	139	65	both	both	PRON
cana-1241	139	66	of	of	ADP
cana-1241	139	67	which	which	PRON
cana-1241	139	68	are	be	AUX
cana-1241	139	69	tested	test	VERB
cana-1241	139	70	in	in	ADP
cana-1241	139	71	serum	serum	NOUN
cana-1241	139	72	.	.	PUNCT
cana-1241	140	1	this	this	PRON
cana-1241	140	2	can	can	AUX
cana-1241	140	3	be	be	AUX
cana-1241	140	4	dependent	dependent	ADJ
cana-1241	140	5	on	on	ADP
cana-1241	140	6	kidney	kidney	NOUN
cana-1241	140	7	function	function	NOUN
cana-1241	140	8	.	.	PUNCT
cana-1241	141	1	the	the	DET
cana-1241	141	2	bun	bun	PROPN
cana-1241	141	3	-	-	PUNCT
cana-1241	141	4	cr	cr	PROPN
cana-1241	141	5	formula	formula	NOUN
cana-1241	141	6	is	be	AUX
cana-1241	141	7	represented	represent	VERB
cana-1241	141	8	in	in	ADP
cana-1241	141	9	equation	equation	NOUN
cana-1241	141	10	3	3	NUM
cana-1241	141	11	which	which	PRON
cana-1241	141	12	is	be	AUX
cana-1241	141	13	expressed	express	VERB
cana-1241	141	14	in	in	ADP
cana-1241	141	15	(	(	PUNCT
cana-1241	141	16	mg	mg	PROPN
cana-1241	141	17	/	/	SYM
cana-1241	141	18	dl	dl	NOUN
cana-1241	141	19	)	)	PUNCT
cana-1241	141	20	.	.	PUNCT
cana-1241	142	1	bun	bun	PROPN
cana-1241	142	2	-	-	PUNCT
cana-1241	142	3	cr	cr	PROPN
cana-1241	142	4	=	=	SYM
cana-1241	142	5	bun	bun	PROPN
cana-1241	142	6	/	/	SYM
cana-1241	142	7	serum	serum	PROPN
cana-1241	142	8	creatinine	creatinine	NOUN
cana-1241	142	9	…	…	PUNCT
cana-1241	142	10	…	…	PUNCT
cana-1241	142	11	…	…	PUNCT
cana-1241	142	12	…	…	PUNCT
cana-1241	142	13	…	…	PUNCT
cana-1241	142	14	…	…	PUNCT
cana-1241	142	15	…	…	PUNCT
cana-1241	142	16	…	…	PUNCT
cana-1241	142	17	(	(	PUNCT
cana-1241	142	18	3	3	NUM
cana-1241	142	19	)	)	PUNCT
cana-1241	142	20	when	when	SCONJ
cana-1241	142	21	bun	bun	PROPN
cana-1241	142	22	-	-	PUNCT
cana-1241	142	23	cr	cr	PROPN
cana-1241	142	24	is	be	AUX
cana-1241	142	25	high	high	ADJ
cana-1241	142	26	,	,	PUNCT
cana-1241	142	27	it	it	PRON
cana-1241	142	28	indicates	indicate	VERB
cana-1241	142	29	a	a	DET
cana-1241	142	30	prerenal	prerenal	ADJ
cana-1241	142	31	etiology	etiology	NOUN
cana-1241	142	32	;	;	PUNCT
cana-1241	142	33	when	when	SCONJ
cana-1241	142	34	bun	bun	PROPN
cana-1241	142	35	-	-	PUNCT
cana-1241	142	36	cr	cr	PROPN
cana-1241	142	37	is	be	AUX
cana-1241	142	38	less	less	ADJ
cana-1241	142	39	than	than	ADP
cana-1241	142	40	10	10	NUM
cana-1241	142	41	,	,	PUNCT
cana-1241	142	42	it	it	PRON
cana-1241	142	43	indicates	indicate	VERB
cana-1241	142	44	an	an	DET
cana-1241	142	45	intrinsic	intrinsic	ADJ
cana-1241	142	46	renal	renal	ADJ
cana-1241	142	47	cause	cause	NOUN
cana-1241	142	48	.	.	PUNCT
cana-1241	143	1	the	the	DET
cana-1241	143	2	value	value	NOUN
cana-1241	143	3	of	of	ADP
cana-1241	143	4	creatinine	creatinine	NOUN
cana-1241	143	5	levels	level	NOUN
cana-1241	143	6	lies	lie	VERB
cana-1241	143	7	between	between	ADP
cana-1241	143	8	0.7	0.7	NUM
cana-1241	143	9	and	and	CCONJ
cana-1241	143	10	1.3	1.3	NUM
cana-1241	143	11	mg	mg	PROPN
cana-1241	143	12	/	/	SYM
cana-1241	143	13	dl	dl	PROPN
cana-1241	143	14	.	.	PROPN
cana-1241	143	15	figures	figure	NOUN
cana-1241	143	16	3	3	NUM
cana-1241	143	17	and	and	CCONJ
cana-1241	143	18	4	4	NUM
cana-1241	143	19	illustrate	illustrate	VERB
cana-1241	143	20	how	how	SCONJ
cana-1241	143	21	the	the	DET
cana-1241	143	22	egfr	egfr	NOUN
cana-1241	143	23	and	and	CCONJ
cana-1241	143	24	bun	bun	PROPN
cana-1241	143	25	-	-	PUNCT
cana-1241	143	26	cr	cr	PROPN
cana-1241	143	27	tests	test	NOUN
cana-1241	143	28	are	be	AUX
cana-1241	143	29	conducted	conduct	VERB
cana-1241	143	30	in	in	ADP
cana-1241	143	31	considering	consider	VERB
cana-1241	143	32	these	these	DET
cana-1241	143	33	variables	variable	NOUN
cana-1241	143	34	in	in	ADP
cana-1241	143	35	order	order	NOUN
cana-1241	143	36	to	to	PART
cana-1241	143	37	limit	limit	VERB
cana-1241	143	38	the	the	DET
cana-1241	143	39	exact	exact	ADJ
cana-1241	143	40	sc	sc	PROPN
cana-1241	143	41	concentration	concentration	NOUN
cana-1241	143	42	that	that	PRON
cana-1241	143	43	each	each	DET
cana-1241	143	44	patient	patient	NOUN
cana-1241	143	45	possesses	possesse	NOUN
cana-1241	143	46	.	.	PUNCT
cana-1241	144	1	figure	figure	VERB
cana-1241	144	2	3	3	NUM
cana-1241	144	3	the	the	DET
cana-1241	144	4	status	status	NOUN
cana-1241	144	5	of	of	ADP
cana-1241	144	6	bcr	bcr	NOUN
cana-1241	144	7	to	to	PART
cana-1241	144	8	detect	detect	VERB
cana-1241	144	9	ckd	ckd	PROPN
cana-1241	144	10	stages	stage	NOUN
cana-1241	144	11	figure	figure	VERB
cana-1241	144	12	4	4	NUM
cana-1241	144	13	the	the	DET
cana-1241	144	14	status	status	NOUN
cana-1241	144	15	of	of	ADP
cana-1241	144	16	egfr	egfr	NOUN
cana-1241	144	17	to	to	PART
cana-1241	144	18	detect	detect	VERB
cana-1241	144	19	ckd	ckd	NOUN
cana-1241	144	20	stages	stage	NOUN
cana-1241	144	21	then	then	ADV
cana-1241	144	22	preprocessing	preprocesse	VERB
cana-1241	144	23	the	the	DET
cana-1241	144	24	data	datum	NOUN
cana-1241	144	25	involves	involve	VERB
cana-1241	144	26	identifying	identify	VERB
cana-1241	144	27	any	any	DET
cana-1241	144	28	missing	miss	VERB
cana-1241	144	29	values	value	NOUN
cana-1241	144	30	within	within	ADP
cana-1241	144	31	the	the	DET
cana-1241	144	32	dataset	dataset	NOUN
cana-1241	144	33	,	,	PUNCT
cana-1241	144	34	which	which	PRON
cana-1241	144	35	can	can	AUX
cana-1241	144	36	be	be	AUX
cana-1241	144	37	achieved	achieve	VERB
cana-1241	144	38	using	use	VERB
cana-1241	144	39	the	the	DET
cana-1241	144	40	null	null	NOUN
cana-1241	144	41	(	(	PUNCT
cana-1241	144	42	)	)	PUNCT
cana-1241	144	43	.	.	PUNCT
cana-1241	145	1	sum	sum	NOUN
cana-1241	145	2	(	(	PUNCT
cana-1241	145	3	)	)	PUNCT
cana-1241	145	4	function	function	NOUN
cana-1241	145	5	in	in	ADP
cana-1241	145	6	the	the	DET
cana-1241	145	7	pandas	panda	NOUN
cana-1241	145	8	library	library	NOUN
cana-1241	145	9	.	.	PUNCT
cana-1241	146	1	this	this	DET
cana-1241	146	2	function	function	NOUN
cana-1241	146	3	helps	help	VERB
cana-1241	146	4	count	count	VERB
cana-1241	146	5	the	the	DET
cana-1241	146	6	occurrences	occurrence	NOUN
cana-1241	146	7	of	of	ADP
cana-1241	146	8	missing	miss	VERB
cana-1241	146	9	values	value	NOUN
cana-1241	146	10	.	.	PUNCT
cana-1241	147	1	in	in	ADP
cana-1241	147	2	order	order	NOUN
cana-1241	147	3	to	to	PART
cana-1241	147	4	manage	manage	VERB
cana-1241	147	5	scaling	scale	VERB
cana-1241	147	6	the	the	DET
cana-1241	147	7	all	all	PRON
cana-1241	147	8	-	-	PUNCT
cana-1241	147	9	variable	variable	ADJ
cana-1241	147	10	unit	unit	NOUN
cana-1241	147	11	as	as	ADP
cana-1241	147	12	unique	unique	ADJ
cana-1241	147	13	,	,	PUNCT
cana-1241	147	14	the	the	DET
cana-1241	147	15	data	data	NOUN
cana-1241	147	16	is	be	AUX
cana-1241	147	17	pre	pre	ADJ
cana-1241	147	18	-	-	VERB
cana-1241	147	19	processed	processed	ADJ
cana-1241	147	20	using	use	VERB
cana-1241	147	21	robustscaler	robustscaler	ADJ
cana-1241	147	22	and	and	CCONJ
cana-1241	147	23	label	label	NOUN
cana-1241	147	24	encoder	encoder	NOUN
cana-1241	147	25	following	follow	VERB
cana-1241	147	26	missing	miss	VERB
cana-1241	147	27	imputation	imputation	NOUN
cana-1241	147	28	.	.	PUNCT
cana-1241	148	1	this	this	DET
cana-1241	148	2	dataset	dataset	NOUN
cana-1241	148	3	includes	include	VERB
cana-1241	148	4	categorical	categorical	ADJ
cana-1241	148	5	elements	element	NOUN
cana-1241	148	6	like	like	ADP
cana-1241	148	7	male	male	NOUN
cana-1241	148	8	and	and	CCONJ
cana-1241	148	9	female	female	ADJ
cana-1241	148	10	in	in	ADP
cana-1241	148	11	its	its	PRON
cana-1241	148	12	gender	gender	NOUN
cana-1241	148	13	column	column	NOUN
cana-1241	148	14	.	.	PUNCT
cana-1241	149	1	since	since	SCONJ
cana-1241	149	2	the	the	DET
cana-1241	149	3	data	data	NOUN
cana-1241	149	4	consists	consist	VERB
cana-1241	149	5	of	of	ADP
cana-1241	149	6	string	string	NOUN
cana-1241	149	7	labels	label	NOUN
cana-1241	149	8	,	,	PUNCT
cana-1241	149	9	these	these	DET
cana-1241	149	10	labels	label	NOUN
cana-1241	149	11	do	do	AUX
cana-1241	149	12	not	not	PART
cana-1241	149	13	have	have	VERB
cana-1241	149	14	an	an	DET
cana-1241	149	15	optimal	optimal	ADJ
cana-1241	149	16	order	order	NOUN
cana-1241	149	17	,	,	PUNCT
cana-1241	149	18	and	and	CCONJ
cana-1241	149	19	ml	ml	ADP
cana-1241	149	20	algorithms	algorithm	NOUN
cana-1241	149	21	have	have	AUX
cana-1241	149	22	presumed	presume	VERB
cana-1241	149	23	incorrectly	incorrectly	ADV
cana-1241	149	24	that	that	SCONJ
cana-1241	149	25	the	the	DET
cana-1241	149	26	labels	label	NOUN
cana-1241	149	27	have	have	VERB
cana-1241	149	28	a	a	DET
cana-1241	149	29	hierarchy	hierarchy	NOUN
cana-1241	149	30	.	.	PUNCT
cana-1241	150	1	label	label	NOUN
cana-1241	150	2	encoding	encoding	NOUN
cana-1241	150	3	is	be	AUX
cana-1241	150	4	one	one	NUM
cana-1241	150	5	method	method	NOUN
cana-1241	150	6	for	for	ADP
cana-1241	150	7	solving	solve	VERB
cana-1241	150	8	this	this	DET
cana-1241	150	9	issue	issue	NOUN
cana-1241	150	10	;	;	PUNCT
cana-1241	150	11	in	in	ADP
cana-1241	150	12	this	this	DET
cana-1241	150	13	method	method	NOUN
cana-1241	150	14	,	,	PUNCT
cana-1241	150	15	each	each	DET
cana-1241	150	16	label	label	NOUN
cana-1241	150	17	is	be	AUX
cana-1241	150	18	given	give	VERB
cana-1241	150	19	a	a	DET
cana-1241	150	20	number	number	NOUN
cana-1241	150	21	value	value	NOUN
cana-1241	150	22	,	,	PUNCT
cana-1241	150	23	such	such	ADJ
cana-1241	150	24	as	as	ADP
cana-1241	150	25	male	male	ADJ
cana-1241	150	26	and	and	CCONJ
cana-1241	150	27	female	female	ADJ
cana-1241	150	28	being	be	AUX
cana-1241	150	29	mapped	map	VERB
cana-1241	150	30	to	to	ADP
cana-1241	150	31	0	0	NUM
cana-1241	150	32	and	and	CCONJ
cana-1241	150	33	1	1	NUM
cana-1241	150	34	.	.	PUNCT
cana-1241	151	1	but	but	CCONJ
cana-1241	151	2	since	since	SCONJ
cana-1241	151	3	our	our	PRON
cana-1241	151	4	model	model	NOUN
cana-1241	151	5	will	will	AUX
cana-1241	151	6	start	start	VERB
cana-1241	151	7	to	to	PART
cana-1241	151	8	favor	favor	VERB
cana-1241	151	9	the	the	DET
cana-1241	151	10	female	female	ADJ
cana-1241	151	11	parameter	parameter	NOUN
cana-1241	151	12	more	more	ADV
cana-1241	151	13	when	when	SCONJ
cana-1241	151	14	1>0	1>0	NUM
cana-1241	151	15	,	,	PUNCT
cana-1241	151	16	this	this	PRON
cana-1241	151	17	could	could	AUX
cana-1241	151	18	add	add	VERB
cana-1241	151	19	bias	bias	NOUN
cana-1241	151	20	into	into	ADP
cana-1241	151	21	it	it	PRON
cana-1241	151	22	,	,	PUNCT
cana-1241	151	23	even	even	ADV
cana-1241	151	24	though	though	SCONJ
cana-1241	151	25	in	in	ADP
cana-1241	151	26	the	the	DET
cana-1241	151	27	ideal	ideal	ADJ
cana-1241	151	28	scenario	scenario	NOUN
cana-1241	151	29	,	,	PUNCT
cana-1241	151	30	the	the	DET
cana-1241	151	31	two	two	NUM
cana-1241	151	32	labels	label	NOUN
cana-1241	151	33	would	would	AUX
cana-1241	151	34	have	have	VERB
cana-1241	151	35	equal	equal	ADJ
cana-1241	151	36	weight	weight	NOUN
cana-1241	151	37	in	in	ADP
cana-1241	151	38	the	the	DET
cana-1241	151	39	dataset	dataset	NOUN
cana-1241	151	40	.	.	PUNCT
cana-1241	152	1	we	we	PRON
cana-1241	152	2	are	be	AUX
cana-1241	152	3	going	go	VERB
cana-1241	152	4	to	to	PART
cana-1241	152	5	apply	apply	VERB
cana-1241	152	6	the	the	DET
cana-1241	152	7	one	one	NUM
cana-1241	152	8	hot	hot	ADJ
cana-1241	152	9	encoding	encoding	NOUN
cana-1241	152	10	method	method	NOUN
cana-1241	152	11	to	to	PART
cana-1241	152	12	address	address	VERB
cana-1241	152	13	this	this	DET
cana-1241	152	14	problem	problem	NOUN
cana-1241	152	15	.	.	PUNCT
cana-1241	153	1	the	the	DET
cana-1241	153	2	categorical	categorical	ADJ
cana-1241	153	3	parameters	parameter	NOUN
cana-1241	153	4	in	in	ADP
cana-1241	153	5	one	one	NUM
cana-1241	153	6	hot	hot	ADJ
cana-1241	153	7	encoding	encoding	NOUN
cana-1241	153	8	will	will	AUX
cana-1241	153	9	set	set	VERB
cana-1241	153	10	up	up	ADP
cana-1241	153	11	distinct	distinct	ADJ
cana-1241	153	12	columns	column	NOUN
cana-1241	153	13	for	for	ADP
cana-1241	153	14	the	the	DET
cana-1241	153	15	labels	label	NOUN
cana-1241	153	16	of	of	ADP
cana-1241	153	17	male	male	ADJ
cana-1241	153	18	and	and	CCONJ
cana-1241	153	19	female	female	NOUN
cana-1241	153	20	.	.	PUNCT
cana-1241	154	1	therefore	therefore	ADV
cana-1241	154	2	,	,	PUNCT
cana-1241	154	3	the	the	DET
cana-1241	154	4	value	value	NOUN
cana-1241	154	5	in	in	ADP
cana-1241	154	6	the	the	DET
cana-1241	154	7	male	male	ADJ
cana-1241	154	8	column	column	NOUN
cana-1241	154	9	will	will	AUX
cana-1241	154	10	be	be	AUX
cana-1241	154	11	1	1	NUM
cana-1241	154	12	and	and	CCONJ
cana-1241	154	13	the	the	DET
cana-1241	154	14	value	value	NOUN
cana-1241	154	15	in	in	ADP
cana-1241	154	16	the	the	DET
cana-1241	154	17	female	female	ADJ
cana-1241	154	18	column	column	NOUN
cana-1241	154	19	will	will	AUX
cana-1241	154	20	be	be	AUX
cana-1241	154	21	0	0	NUM
cana-1241	154	22	,	,	PUNCT
cana-1241	154	23	and	and	CCONJ
cana-1241	154	24	vice	vice	ADV
cana-1241	154	25	versa	versa	ADV
cana-1241	154	26	,	,	PUNCT
cana-1241	154	27	wherever	wherever	SCONJ
cana-1241	154	28	there	there	PRON
cana-1241	154	29	is	be	VERB
cana-1241	154	30	a	a	DET
cana-1241	154	31	male	male	NOUN
cana-1241	154	32	.	.	PUNCT
cana-1241	155	1	figure.5	figure.5	PROPN
cana-1241	155	2	illustrates	illustrate	VERB
cana-1241	155	3	the	the	DET
cana-1241	155	4	overall	overall	ADJ
cana-1241	155	5	proposed	propose	VERB
cana-1241	155	6	diagram	diagram	NOUN
cana-1241	155	7	.	.	PUNCT
cana-1241	156	1	communications	communication	NOUN
cana-1241	156	2	on	on	ADP
cana-1241	156	3	applied	apply	VERB
cana-1241	156	4	nonlinear	nonlinear	ADJ
cana-1241	156	5	analysis	analysis	NOUN
cana-1241	156	6	issn	issn	NOUN
cana-1241	156	7	:	:	PUNCT
cana-1241	156	8	1074	1074	NUM
cana-1241	156	9	-	-	PUNCT
cana-1241	156	10	133x	133x	NUM
cana-1241	156	11	vol	vol	NOUN
cana-1241	156	12	31	31	NUM
cana-1241	156	13	no	no	NOUN
cana-1241	156	14	.	.	PUNCT
cana-1241	157	1	6s	6s	NUM
cana-1241	157	2	(	(	PUNCT
cana-1241	157	3	2024	2024	NUM
cana-1241	157	4	)	)	PUNCT
cana-1241	157	5	530	530	NUM
cana-1241	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	157	7	figure	figure	NOUN
cana-1241	157	8	5	5	NUM
cana-1241	157	9	proposed	propose	VERB
cana-1241	157	10	flow	flow	NOUN
cana-1241	157	11	diagram	diagram	NOUN
cana-1241	157	12	of	of	ADP
cana-1241	157	13	proposed	propose	VERB
cana-1241	157	14	bfs	bfs	PROPN
cana-1241	157	15	-	-	PUNCT
cana-1241	157	16	erfc	erfc	PROPN
cana-1241	157	17	model	model	NOUN
cana-1241	157	18	boruta	boruta	NOUN
cana-1241	157	19	feature	feature	NOUN
cana-1241	157	20	selection	selection	NOUN
cana-1241	157	21	(	(	PUNCT
cana-1241	157	22	bfs	bfs	NOUN
cana-1241	157	23	)	)	PUNCT
cana-1241	157	24	technique	technique	NOUN
cana-1241	157	25	with	with	ADP
cana-1241	157	26	ensemble	ensemble	ADJ
cana-1241	157	27	based	base	VERB
cana-1241	157	28	random	random	ADJ
cana-1241	157	29	forest	forest	NOUN
cana-1241	157	30	classifier	classifier	NOUN
cana-1241	157	31	(	(	PUNCT
cana-1241	157	32	erfc	erfc	PROPN
cana-1241	157	33	)	)	PUNCT
cana-1241	157	34	the	the	DET
cana-1241	157	35	rf	rf	NOUN
cana-1241	157	36	classification	classification	NOUN
cana-1241	157	37	technique	technique	NOUN
cana-1241	157	38	included	include	VERB
cana-1241	157	39	in	in	ADP
cana-1241	157	40	the	the	DET
cana-1241	157	41	rf	rf	NOUN
cana-1241	157	42	package	package	NOUN
cana-1241	157	43	is	be	AUX
cana-1241	157	44	wrapped	wrap	VERB
cana-1241	157	45	in	in	ADP
cana-1241	157	46	the	the	DET
cana-1241	157	47	boruta	boruta	NOUN
cana-1241	157	48	algorithm	algorithm	NOUN
cana-1241	157	49	.	.	PUNCT
cana-1241	158	1	the	the	DET
cana-1241	158	2	rf	rf	ADJ
cana-1241	158	3	algorithm	algorithm	NOUN
cana-1241	158	4	provides	provide	VERB
cana-1241	158	5	a	a	DET
cana-1241	158	6	numerical	numerical	ADJ
cana-1241	158	7	approximation	approximation	NOUN
cana-1241	158	8	of	of	ADP
cana-1241	158	9	the	the	DET
cana-1241	158	10	feature	feature	NOUN
cana-1241	158	11	relevance	relevance	NOUN
cana-1241	158	12	,	,	PUNCT
cana-1241	158	13	can	can	AUX
cana-1241	158	14	typically	typically	ADV
cana-1241	158	15	be	be	AUX
cana-1241	158	16	used	use	VERB
cana-1241	158	17	without	without	ADP
cana-1241	158	18	the	the	DET
cana-1241	158	19	need	need	NOUN
cana-1241	158	20	for	for	ADP
cana-1241	158	21	parameter	parameter	NOUN
cana-1241	158	22	modification	modification	NOUN
cana-1241	158	23	,	,	PUNCT
cana-1241	158	24	and	and	CCONJ
cana-1241	158	25	is	be	AUX
cana-1241	158	26	quite	quite	ADV
cana-1241	158	27	fast	fast	ADJ
cana-1241	158	28	.	.	PUNCT
cana-1241	159	1	it	it	PRON
cana-1241	159	2	is	be	AUX
cana-1241	159	3	an	an	DET
cana-1241	159	4	ensemble	ensemble	ADJ
cana-1241	159	5	method	method	NOUN
cana-1241	159	6	in	in	ADP
cana-1241	159	7	which	which	PRON
cana-1241	159	8	several	several	ADJ
cana-1241	159	9	unbiased	unbiased	ADJ
cana-1241	159	10	weak	weak	ADJ
cana-1241	159	11	classifier	classifier	NOUN
cana-1241	159	12	decision	decision	NOUN
cana-1241	159	13	trees	tree	NOUN
cana-1241	159	14	are	be	AUX
cana-1241	159	15	voted	vote	VERB
cana-1241	159	16	on	on	ADP
cana-1241	159	17	to	to	PART
cana-1241	159	18	do	do	VERB
cana-1241	159	19	classification	classification	NOUN
cana-1241	159	20	.	.	PUNCT
cana-1241	160	1	these	these	DET
cana-1241	160	2	trees	tree	NOUN
cana-1241	160	3	are	be	AUX
cana-1241	160	4	separately	separately	ADV
cana-1241	160	5	constructed	construct	VERB
cana-1241	160	6	using	use	VERB
cana-1241	160	7	various	various	ADJ
cana-1241	160	8	training	training	NOUN
cana-1241	160	9	set	set	NOUN
cana-1241	160	10	bagging	bagging	NOUN
cana-1241	160	11	samples	sample	NOUN
cana-1241	160	12	.	.	PUNCT
cana-1241	161	1	the	the	DET
cana-1241	161	2	significance	significance	NOUN
cana-1241	161	3	measure	measure	NOUN
cana-1241	161	4	of	of	ADP
cana-1241	161	5	an	an	DET
cana-1241	161	6	attribute	attribute	NOUN
cana-1241	161	7	is	be	AUX
cana-1241	161	8	the	the	DET
cana-1241	161	9	reduction	reduction	NOUN
cana-1241	161	10	in	in	ADP
cana-1241	161	11	classification	classification	NOUN
cana-1241	161	12	accuracy	accuracy	NOUN
cana-1241	161	13	caused	cause	VERB
cana-1241	161	14	by	by	ADP
cana-1241	161	15	the	the	DET
cana-1241	161	16	random	random	ADJ
cana-1241	161	17	permutation	permutation	NOUN
cana-1241	161	18	of	of	ADP
cana-1241	161	19	its	its	PRON
cana-1241	161	20	values	value	NOUN
cana-1241	161	21	among	among	ADP
cana-1241	161	22	objects	object	NOUN
cana-1241	161	23	.	.	PUNCT
cana-1241	162	1	it	it	PRON
cana-1241	162	2	is	be	AUX
cana-1241	162	3	determined	determine	VERB
cana-1241	162	4	separately	separately	ADV
cana-1241	162	5	for	for	ADP
cana-1241	162	6	every	every	DET
cana-1241	162	7	tree	tree	NOUN
cana-1241	162	8	in	in	ADP
cana-1241	162	9	the	the	DET
cana-1241	162	10	forest	forest	NOUN
cana-1241	162	11	that	that	PRON
cana-1241	162	12	uses	use	VERB
cana-1241	162	13	a	a	DET
cana-1241	162	14	particular	particular	ADJ
cana-1241	162	15	characteristic	characteristic	NOUN
cana-1241	162	16	to	to	PART
cana-1241	162	17	categorize	categorize	VERB
cana-1241	162	18	data	datum	NOUN
cana-1241	162	19	.	.	PUNCT
cana-1241	163	1	next	next	ADV
cana-1241	163	2	,	,	PUNCT
cana-1241	163	3	the	the	DET
cana-1241	163	4	accuracy	accuracy	NOUN
cana-1241	163	5	loss	loss	NOUN
cana-1241	163	6	's	's	PART
cana-1241	163	7	average	average	ADJ
cana-1241	163	8	and	and	CCONJ
cana-1241	163	9	standard	standard	ADJ
cana-1241	163	10	deviation	deviation	NOUN
cana-1241	163	11	(	(	PUNCT
cana-1241	163	12	sd	sd	NOUN
cana-1241	163	13	)	)	PUNCT
cana-1241	163	14	are	be	AUX
cana-1241	163	15	calculated	calculate	VERB
cana-1241	163	16	.	.	PUNCT
cana-1241	164	1	as	as	ADP
cana-1241	164	2	an	an	DET
cana-1241	164	3	alternative	alternative	NOUN
cana-1241	164	4	,	,	PUNCT
cana-1241	164	5	the	the	DET
cana-1241	164	6	important	important	ADJ
cana-1241	164	7	metric	metric	NOUN
cana-1241	164	8	can	can	AUX
cana-1241	164	9	be	be	AUX
cana-1241	164	10	the	the	DET
cana-1241	164	11	z	z	NOUN
cana-1241	164	12	score	score	NOUN
cana-1241	164	13	,	,	PUNCT
cana-1241	164	14	which	which	PRON
cana-1241	164	15	is	be	AUX
cana-1241	164	16	designed	design	VERB
cana-1241	164	17	by	by	ADP
cana-1241	164	18	dividing	divide	VERB
cana-1241	164	19	the	the	DET
cana-1241	164	20	average	average	ADJ
cana-1241	164	21	loss	loss	NOUN
cana-1241	164	22	by	by	ADP
cana-1241	164	23	its	its	PRON
cana-1241	164	24	sd	sd	NOUN
cana-1241	164	25	.	.	PUNCT
cana-1241	165	1	unfortunately	unfortunately	ADV
cana-1241	165	2	,	,	PUNCT
cana-1241	165	3	because	because	SCONJ
cana-1241	165	4	the	the	DET
cana-1241	165	5	z	z	NOUN
cana-1241	165	6	score	score	NOUN
cana-1241	165	7	's	's	PART
cana-1241	165	8	distribution	distribution	NOUN
cana-1241	165	9	is	be	AUX
cana-1241	165	10	not	not	PART
cana-1241	165	11	n	n	CCONJ
cana-1241	165	12	(	(	PUNCT
cana-1241	165	13	0,1	0,1	NUM
cana-1241	165	14	)	)	PUNCT
cana-1241	165	15	,	,	PUNCT
cana-1241	165	16	it	it	PRON
cana-1241	165	17	is	be	AUX
cana-1241	165	18	not	not	PART
cana-1241	165	19	directly	directly	ADV
cana-1241	165	20	correlated	correlate	VERB
cana-1241	165	21	with	with	ADP
cana-1241	165	22	the	the	DET
cana-1241	165	23	statistical	statistical	ADJ
cana-1241	165	24	significance	significance	NOUN
cana-1241	165	25	of	of	ADP
cana-1241	165	26	the	the	DET
cana-1241	165	27	feature	feature	NOUN
cana-1241	165	28	importance	importance	NOUN
cana-1241	165	29	returned	return	VERB
cana-1241	165	30	by	by	ADP
cana-1241	165	31	the	the	DET
cana-1241	165	32	rf	rf	NOUN
cana-1241	165	33	technique	technique	NOUN
cana-1241	165	34	.	.	PUNCT
cana-1241	166	1	however	however	ADV
cana-1241	166	2	,	,	PUNCT
cana-1241	166	3	as	as	SCONJ
cana-1241	166	4	the	the	DET
cana-1241	166	5	z	z	NOUN
cana-1241	166	6	score	score	NOUN
cana-1241	166	7	takes	take	VERB
cana-1241	166	8	into	into	ADP
cana-1241	166	9	account	account	NOUN
cana-1241	166	10	variations	variation	NOUN
cana-1241	166	11	in	in	ADP
cana-1241	166	12	the	the	DET
cana-1241	166	13	average	average	ADJ
cana-1241	166	14	accuracy	accuracy	NOUN
cana-1241	166	15	loss	loss	NOUN
cana-1241	166	16	among	among	ADP
cana-1241	166	17	the	the	DET
cana-1241	166	18	forest	forest	NOUN
cana-1241	166	19	's	's	PART
cana-1241	166	20	trees	tree	NOUN
cana-1241	166	21	,	,	PUNCT
cana-1241	166	22	we	we	PRON
cana-1241	166	23	utilize	utilize	VERB
cana-1241	166	24	it	it	PRON
cana-1241	166	25	as	as	ADP
cana-1241	166	26	the	the	DET
cana-1241	166	27	significance	significance	NOUN
cana-1241	166	28	metric	metric	ADJ
cana-1241	166	29	in	in	ADP
cana-1241	166	30	boruta	boruta	NOUN
cana-1241	166	31	.	.	PUNCT
cana-1241	167	1	communications	communication	NOUN
cana-1241	167	2	on	on	ADP
cana-1241	167	3	applied	apply	VERB
cana-1241	167	4	nonlinear	nonlinear	ADJ
cana-1241	167	5	analysis	analysis	NOUN
cana-1241	167	6	issn	issn	NOUN
cana-1241	167	7	:	:	PUNCT
cana-1241	167	8	1074	1074	NUM
cana-1241	167	9	-	-	PUNCT
cana-1241	167	10	133x	133x	NUM
cana-1241	167	11	vol	vol	NOUN
cana-1241	167	12	31	31	NUM
cana-1241	167	13	no	no	NOUN
cana-1241	167	14	.	.	PUNCT
cana-1241	168	1	6s	6s	NUM
cana-1241	168	2	(	(	PUNCT
cana-1241	168	3	2024	2024	NUM
cana-1241	168	4	)	)	PUNCT
cana-1241	168	5	531	531	NUM
cana-1241	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	168	7	since	since	SCONJ
cana-1241	168	8	z	z	NOUN
cana-1241	168	9	score	score	NOUN
cana-1241	168	10	can	can	AUX
cana-1241	168	11	not	not	PART
cana-1241	168	12	be	be	AUX
cana-1241	168	13	used	use	VERB
cana-1241	168	14	to	to	PART
cana-1241	168	15	determine	determine	VERB
cana-1241	168	16	importance	importance	NOUN
cana-1241	168	17	directly	directly	ADV
cana-1241	168	18	,	,	PUNCT
cana-1241	168	19	we	we	PRON
cana-1241	168	20	must	must	AUX
cana-1241	168	21	utilize	utilize	VERB
cana-1241	168	22	an	an	DET
cana-1241	168	23	outside	outside	ADJ
cana-1241	168	24	reference	reference	NOUN
cana-1241	168	25	to	to	PART
cana-1241	168	26	determine	determine	VERB
cana-1241	168	27	whether	whether	SCONJ
cana-1241	168	28	an	an	DET
cana-1241	168	29	attribute	attribute	NOUN
cana-1241	168	30	's	's	PART
cana-1241	168	31	significance	significance	NOUN
cana-1241	168	32	—	—	PUNCT
cana-1241	168	33	that	that	ADV
cana-1241	168	34	is	is	ADV
cana-1241	168	35	,	,	PUNCT
cana-1241	168	36	whether	whether	SCONJ
cana-1241	168	37	its	its	PRON
cana-1241	168	38	importance	importance	NOUN
cana-1241	168	39	can	can	AUX
cana-1241	168	40	be	be	AUX
cana-1241	168	41	distinguished	distinguish	VERB
cana-1241	168	42	from	from	ADP
cana-1241	168	43	chance	chance	NOUN
cana-1241	168	44	fluctuations	fluctuation	NOUN
cana-1241	168	45	—	—	PUNCT
cana-1241	168	46	is	be	AUX
cana-1241	168	47	required	require	VERB
cana-1241	168	48	.	.	PUNCT
cana-1241	169	1	in	in	ADP
cana-1241	169	2	order	order	NOUN
cana-1241	169	3	to	to	PART
cana-1241	169	4	do	do	AUX
cana-1241	169	5	this	this	PRON
cana-1241	169	6	,	,	PUNCT
cana-1241	169	7	we	we	PRON
cana-1241	169	8	have	have	AUX
cana-1241	169	9	included	include	VERB
cana-1241	169	10	random	random	ADJ
cana-1241	169	11	attributes	attribute	NOUN
cana-1241	169	12	by	by	ADP
cana-1241	169	13	design	design	NOUN
cana-1241	169	14	to	to	ADP
cana-1241	169	15	the	the	DET
cana-1241	169	16	information	information	NOUN
cana-1241	169	17	system	system	NOUN
cana-1241	169	18	.	.	PUNCT
cana-1241	170	1	then	then	ADV
cana-1241	170	2	establish	establish	VERB
cana-1241	170	3	a	a	DET
cana-1241	170	4	comparable	comparable	ADJ
cana-1241	170	5	"	"	PUNCT
cana-1241	170	6	shadow	shadow	NOUN
cana-1241	170	7	"	"	PUNCT
cana-1241	170	8	attribute	attribute	NOUN
cana-1241	170	9	for	for	ADP
cana-1241	170	10	every	every	DET
cana-1241	170	11	attribute	attribute	NOUN
cana-1241	170	12	,	,	PUNCT
cana-1241	170	13	the	the	DET
cana-1241	170	14	values	value	NOUN
cana-1241	170	15	of	of	ADP
cana-1241	170	16	which	which	PRON
cana-1241	170	17	are	be	AUX
cana-1241	170	18	derived	derive	VERB
cana-1241	170	19	by	by	ADP
cana-1241	170	20	shuffle	shuffle	NOUN
cana-1241	170	21	the	the	DET
cana-1241	170	22	original	original	ADJ
cana-1241	170	23	attribute	attribute	NOUN
cana-1241	170	24	among	among	ADP
cana-1241	170	25	objects	object	NOUN
cana-1241	170	26	.	.	PUNCT
cana-1241	171	1	next	next	ADV
cana-1241	171	2	,	,	PUNCT
cana-1241	171	3	we	we	PRON
cana-1241	171	4	classify	classify	VERB
cana-1241	171	5	this	this	DET
cana-1241	171	6	extended	extended	ADJ
cana-1241	171	7	system	system	NOUN
cana-1241	171	8	using	use	VERB
cana-1241	171	9	all	all	PRON
cana-1241	171	10	of	of	ADP
cana-1241	171	11	its	its	PRON
cana-1241	171	12	attributes	attribute	NOUN
cana-1241	171	13	and	and	CCONJ
cana-1241	171	14	determine	determine	VERB
cana-1241	171	15	how	how	SCONJ
cana-1241	171	16	essential	essential	ADJ
cana-1241	171	17	each	each	DET
cana-1241	171	18	attribute	attribute	NOUN
cana-1241	171	19	.	.	PUNCT
cana-1241	172	1	only	only	ADV
cana-1241	172	2	random	random	ADJ
cana-1241	172	3	fluctuations	fluctuation	NOUN
cana-1241	172	4	can	can	AUX
cana-1241	172	5	cause	cause	VERB
cana-1241	172	6	a	a	DET
cana-1241	172	7	shadow	shadow	NOUN
cana-1241	172	8	attribute	attribute	NOUN
cana-1241	172	9	's	's	PART
cana-1241	172	10	relevance	relevance	NOUN
cana-1241	172	11	to	to	PART
cana-1241	172	12	be	be	AUX
cana-1241	172	13	nonzero	nonzero	ADJ
cana-1241	172	14	.	.	PUNCT
cana-1241	173	1	in	in	ADP
cana-1241	173	2	order	order	NOUN
cana-1241	173	3	to	to	PART
cana-1241	173	4	determine	determine	VERB
cana-1241	173	5	which	which	DET
cana-1241	173	6	qualities	quality	NOUN
cana-1241	173	7	are	be	AUX
cana-1241	173	8	actually	actually	ADV
cana-1241	173	9	essential	essential	ADJ
cana-1241	173	10	,	,	PUNCT
cana-1241	173	11	the	the	DET
cana-1241	173	12	set	set	NOUN
cana-1241	173	13	of	of	ADP
cana-1241	173	14	importance	importance	NOUN
cana-1241	173	15	of	of	ADP
cana-1241	173	16	shadow	shadow	NOUN
cana-1241	173	17	attributes	attribute	NOUN
cana-1241	173	18	is	be	AUX
cana-1241	173	19	consulted	consult	VERB
cana-1241	173	20	.	.	PUNCT
cana-1241	174	1	the	the	DET
cana-1241	174	2	rf	rf	NOUN
cana-1241	174	3	classifier	classifier	NOUN
cana-1241	174	4	's	's	PART
cana-1241	174	5	stochasticity	stochasticity	NOUN
cana-1241	174	6	causes	cause	VERB
cana-1241	174	7	variations	variation	NOUN
cana-1241	174	8	in	in	ADP
cana-1241	174	9	the	the	DET
cana-1241	174	10	significance	significance	NOUN
cana-1241	174	11	measure	measure	VERB
cana-1241	174	12	itself	itself	PRON
cana-1241	174	13	.	.	PUNCT
cana-1241	175	1	furthermore	furthermore	ADV
cana-1241	175	2	,	,	PUNCT
cana-1241	175	3	it	it	PRON
cana-1241	175	4	is	be	AUX
cana-1241	175	5	sensitive	sensitive	ADJ
cana-1241	175	6	to	to	ADP
cana-1241	175	7	the	the	DET
cana-1241	175	8	existence	existence	NOUN
cana-1241	175	9	of	of	ADP
cana-1241	175	10	unimportant	unimportant	ADJ
cana-1241	175	11	attributes	attribute	NOUN
cana-1241	175	12	—	—	PUNCT
cana-1241	175	13	including	include	VERB
cana-1241	175	14	shadow	shadow	NOUN
cana-1241	175	15	ones	one	NOUN
cana-1241	175	16	—	—	PUNCT
cana-1241	175	17	in	in	ADP
cana-1241	175	18	the	the	DET
cana-1241	175	19	information	information	NOUN
cana-1241	175	20	system	system	NOUN
cana-1241	175	21	.	.	PUNCT
cana-1241	176	1	furthermore	furthermore	ADV
cana-1241	176	2	,	,	PUNCT
cana-1241	176	3	it	it	PRON
cana-1241	176	4	is	be	AUX
cana-1241	176	5	reliant	reliant	ADJ
cana-1241	176	6	on	on	ADP
cana-1241	176	7	how	how	SCONJ
cana-1241	176	8	specific	specific	ADJ
cana-1241	176	9	shadow	shadow	NOUN
cana-1241	176	10	properties	property	NOUN
cana-1241	176	11	are	be	AUX
cana-1241	176	12	realized	realize	VERB
cana-1241	176	13	.	.	PUNCT
cana-1241	177	1	consequently	consequently	ADV
cana-1241	177	2	,	,	PUNCT
cana-1241	177	3	in	in	ADP
cana-1241	177	4	order	order	NOUN
cana-1241	177	5	to	to	PART
cana-1241	177	6	get	get	VERB
cana-1241	177	7	statistically	statistically	ADV
cana-1241	177	8	meaningful	meaningful	ADJ
cana-1241	177	9	findings	finding	NOUN
cana-1241	177	10	,	,	PUNCT
cana-1241	177	11	we	we	PRON
cana-1241	177	12	must	must	AUX
cana-1241	177	13	repeat	repeat	VERB
cana-1241	177	14	the	the	DET
cana-1241	177	15	reshuffle	reshuffle	NOUN
cana-1241	177	16	process	process	NOUN
cana-1241	177	17	.	.	PUNCT
cana-1241	178	1	to	to	PART
cana-1241	178	2	put	put	VERB
cana-1241	178	3	it	it	PRON
cana-1241	178	4	briefly	briefly	ADV
cana-1241	178	5	,	,	PUNCT
cana-1241	178	6	boruta	boruta	PROPN
cana-1241	178	7	is	be	AUX
cana-1241	178	8	predicated	predicate	VERB
cana-1241	178	9	on	on	ADP
cana-1241	178	10	the	the	DET
cana-1241	178	11	same	same	ADJ
cana-1241	178	12	theory	theory	NOUN
cana-1241	178	13	that	that	SCONJ
cana-1241	178	14	behind	behind	ADP
cana-1241	178	15	the	the	DET
cana-1241	178	16	rf	rf	ADJ
cana-1241	178	17	classifier	classifier	NOUN
cana-1241	178	18	:	:	PUNCT
cana-1241	178	19	one	one	NUM
cana-1241	178	20	can	can	AUX
cana-1241	178	21	lessen	lessen	VERB
cana-1241	178	22	the	the	DET
cana-1241	178	23	misleading	misleading	ADJ
cana-1241	178	24	impact	impact	NOUN
cana-1241	178	25	of	of	ADP
cana-1241	178	26	random	random	ADJ
cana-1241	178	27	fluctuations	fluctuation	NOUN
cana-1241	178	28	and	and	CCONJ
cana-1241	178	29	correlations	correlation	NOUN
cana-1241	178	30	by	by	ADP
cana-1241	178	31	introducing	introduce	VERB
cana-1241	178	32	randomization	randomization	NOUN
cana-1241	178	33	into	into	ADP
cana-1241	178	34	the	the	DET
cana-1241	178	35	system	system	NOUN
cana-1241	178	36	and	and	CCONJ
cana-1241	178	37	gathering	gather	VERB
cana-1241	178	38	data	datum	NOUN
cana-1241	178	39	from	from	ADP
cana-1241	178	40	the	the	DET
cana-1241	178	41	ensemble	ensemble	NOUN
cana-1241	178	42	of	of	ADP
cana-1241	178	43	randomized	randomized	ADJ
cana-1241	178	44	samples	sample	NOUN
cana-1241	178	45	.	.	PUNCT
cana-1241	179	1	in	in	ADP
cana-1241	179	2	this	this	DET
cana-1241	179	3	case	case	NOUN
cana-1241	179	4	,	,	PUNCT
cana-1241	179	5	the	the	DET
cana-1241	179	6	additional	additional	ADJ
cana-1241	179	7	unpredictability	unpredictability	NOUN
cana-1241	179	8	will	will	AUX
cana-1241	179	9	help	help	VERB
cana-1241	179	10	us	we	PRON
cana-1241	179	11	which	which	DET
cana-1241	179	12	characteristics	characteristic	NOUN
cana-1241	179	13	are	be	AUX
cana-1241	179	14	truly	truly	ADV
cana-1241	179	15	crucial	crucial	ADJ
cana-1241	179	16	.	.	PUNCT
cana-1241	180	1	the	the	DET
cana-1241	180	2	steps	step	NOUN
cana-1241	180	3	of	of	ADP
cana-1241	180	4	the	the	DET
cana-1241	180	5	boruta	boruta	NOUN
cana-1241	180	6	algorithm	algorithm	NOUN
cana-1241	180	7	are	be	AUX
cana-1241	180	8	as	as	SCONJ
cana-1241	180	9	follows	follow	VERB
cana-1241	180	10	:	:	PUNCT
cana-1241	180	11	1	1	X
cana-1241	180	12	.	.	PUNCT
cana-1241	180	13	makes	make	VERB
cana-1241	180	14	a	a	DET
cana-1241	180	15	duplicate	duplicate	NOUN
cana-1241	180	16	of	of	ADP
cana-1241	180	17	the	the	DET
cana-1241	180	18	features	feature	NOUN
cana-1241	180	19	from	from	ADP
cana-1241	180	20	the	the	DET
cana-1241	180	21	training	training	NOUN
cana-1241	180	22	set	set	NOUN
cana-1241	180	23	and	and	CCONJ
cana-1241	180	24	combines	combine	VERB
cana-1241	180	25	it	it	PRON
cana-1241	180	26	with	with	ADP
cana-1241	180	27	the	the	DET
cana-1241	180	28	original	original	ADJ
cana-1241	180	29	features	feature	NOUN
cana-1241	180	30	.	.	PUNCT
cana-1241	181	1	2	2	X
cana-1241	181	2	.	.	PUNCT
cana-1241	181	3	to	to	PART
cana-1241	181	4	eliminate	eliminate	VERB
cana-1241	181	5	any	any	DET
cana-1241	181	6	link	link	NOUN
cana-1241	181	7	of	of	ADP
cana-1241	181	8	any	any	DET
cana-1241	181	9	sort	sort	NOUN
cana-1241	181	10	between	between	ADP
cana-1241	181	11	these	these	DET
cana-1241	181	12	synthetic	synthetic	ADJ
cana-1241	181	13	features	feature	NOUN
cana-1241	181	14	and	and	CCONJ
cana-1241	181	15	the	the	DET
cana-1241	181	16	target	target	NOUN
cana-1241	181	17	variable	variable	ADJ
cana-1241	181	18	y	y	PROPN
cana-1241	181	19	,	,	PUNCT
cana-1241	181	20	random	random	ADJ
cana-1241	181	21	permutations	permutation	NOUN
cana-1241	181	22	are	be	AUX
cana-1241	181	23	created	create	VERB
cana-1241	181	24	on	on	ADP
cana-1241	181	25	them	they	PRON
cana-1241	181	26	.	.	PUNCT
cana-1241	182	1	in	in	ADP
cana-1241	182	2	essence	essence	NOUN
cana-1241	182	3	,	,	PUNCT
cana-1241	182	4	these	these	DET
cana-1241	182	5	synthetic	synthetic	ADJ
cana-1241	182	6	features	feature	NOUN
cana-1241	182	7	are	be	AUX
cana-1241	182	8	randomized	randomize	VERB
cana-1241	182	9	permutations	permutation	NOUN
cana-1241	182	10	of	of	ADP
cana-1241	182	11	the	the	DET
cana-1241	182	12	actual	actual	ADJ
cana-1241	182	13	feature	feature	NOUN
cana-1241	182	14	that	that	PRON
cana-1241	182	15	they	they	PRON
cana-1241	182	16	are	be	AUX
cana-1241	182	17	derived	derive	VERB
cana-1241	182	18	from	from	ADP
cana-1241	182	19	.	.	PUNCT
cana-1241	183	1	3	3	X
cana-1241	183	2	.	.	X
cana-1241	183	3	each	each	DET
cana-1241	183	4	time	time	NOUN
cana-1241	183	5	a	a	DET
cana-1241	183	6	synthetic	synthetic	ADJ
cana-1241	183	7	characteristic	characteristic	NOUN
cana-1241	183	8	is	be	AUX
cana-1241	183	9	used	use	VERB
cana-1241	183	10	,	,	PUNCT
cana-1241	183	11	it	it	PRON
cana-1241	183	12	is	be	AUX
cana-1241	183	13	randomly	randomly	ADV
cana-1241	183	14	generated	generate	VERB
cana-1241	183	15	.	.	PUNCT
cana-1241	184	1	4	4	X
cana-1241	184	2	.	.	X
cana-1241	184	3	calculates	calculate	VERB
cana-1241	184	4	the	the	DET
cana-1241	184	5	z	z	NOUN
cana-1241	184	6	-	-	PUNCT
cana-1241	184	7	score	score	NOUN
cana-1241	184	8	for	for	ADP
cana-1241	184	9	each	each	DET
cana-1241	184	10	original	original	ADJ
cana-1241	184	11	and	and	CCONJ
cana-1241	184	12	synthetic	synthetic	ADJ
cana-1241	184	13	feature	feature	NOUN
cana-1241	184	14	at	at	ADP
cana-1241	184	15	each	each	DET
cana-1241	184	16	iteration	iteration	NOUN
cana-1241	184	17	.	.	PUNCT
cana-1241	185	1	if	if	SCONJ
cana-1241	185	2	a	a	DET
cana-1241	185	3	feature	feature	NOUN
cana-1241	185	4	's	's	PART
cana-1241	185	5	importance	importance	NOUN
cana-1241	185	6	exceeds	exceed	VERB
cana-1241	185	7	the	the	DET
cana-1241	185	8	total	total	ADJ
cana-1241	185	9	significance	significance	NOUN
cana-1241	185	10	of	of	ADP
cana-1241	185	11	all	all	DET
cana-1241	185	12	synthetic	synthetic	ADJ
cana-1241	185	13	features	feature	NOUN
cana-1241	185	14	,	,	PUNCT
cana-1241	185	15	it	it	PRON
cana-1241	185	16	is	be	AUX
cana-1241	185	17	deemed	deem	VERB
cana-1241	185	18	relevant	relevant	ADJ
cana-1241	185	19	.	.	PUNCT
cana-1241	186	1	5	5	X
cana-1241	186	2	.	.	X
cana-1241	186	3	it	it	PRON
cana-1241	186	4	performs	perform	VERB
cana-1241	186	5	a	a	DET
cana-1241	186	6	statistical	statistical	ADJ
cana-1241	186	7	test	test	NOUN
cana-1241	186	8	to	to	ADP
cana-1241	186	9	every	every	DET
cana-1241	186	10	one	one	NUM
cana-1241	186	11	of	of	ADP
cana-1241	186	12	the	the	DET
cana-1241	186	13	original	original	ADJ
cana-1241	186	14	attributes	attribute	NOUN
cana-1241	186	15	and	and	CCONJ
cana-1241	186	16	retains	retain	VERB
cana-1241	186	17	track	track	NOUN
cana-1241	186	18	of	of	ADP
cana-1241	186	19	the	the	DET
cana-1241	186	20	outcome	outcome	NOUN
cana-1241	186	21	.	.	PUNCT
cana-1241	187	1	the	the	DET
cana-1241	187	2	greatest	great	ADJ
cana-1241	187	3	significance	significance	NOUN
cana-1241	187	4	of	of	ADP
cana-1241	187	5	synthetic	synthetic	ADJ
cana-1241	187	6	characteristics	characteristic	NOUN
cana-1241	187	7	equals	equal	VERB
cana-1241	187	8	the	the	DET
cana-1241	187	9	significance	significance	NOUN
cana-1241	187	10	of	of	ADP
cana-1241	187	11	a	a	DET
cana-1241	187	12	feature	feature	NOUN
cana-1241	187	13	,	,	PUNCT
cana-1241	187	14	according	accord	VERB
cana-1241	187	15	to	to	ADP
cana-1241	187	16	the	the	DET
cana-1241	187	17	null	null	ADJ
cana-1241	187	18	hypothesis	hypothesis	NOUN
cana-1241	187	19	.	.	PUNCT
cana-1241	188	1	the	the	DET
cana-1241	188	2	original	original	ADJ
cana-1241	188	3	and	and	CCONJ
cana-1241	188	4	synthetic	synthetic	ADJ
cana-1241	188	5	features	feature	NOUN
cana-1241	188	6	are	be	AUX
cana-1241	188	7	tested	test	VERB
cana-1241	188	8	for	for	ADP
cana-1241	188	9	equivalence	equivalence	NOUN
cana-1241	188	10	using	use	VERB
cana-1241	188	11	a	a	DET
cana-1241	188	12	statistical	statistical	ADJ
cana-1241	188	13	test	test	NOUN
cana-1241	188	14	.	.	PUNCT
cana-1241	189	1	when	when	SCONJ
cana-1241	189	2	a	a	DET
cana-1241	189	3	feature	feature	NOUN
cana-1241	189	4	's	's	PART
cana-1241	189	5	relevance	relevance	NOUN
cana-1241	189	6	is	be	AUX
cana-1241	189	7	noticeably	noticeably	ADV
cana-1241	189	8	greater	great	ADJ
cana-1241	189	9	or	or	CCONJ
cana-1241	189	10	lower	low	ADJ
cana-1241	189	11	than	than	ADP
cana-1241	189	12	one	one	NUM
cana-1241	189	13	of	of	ADP
cana-1241	189	14	the	the	DET
cana-1241	189	15	synthetic	synthetic	ADJ
cana-1241	189	16	features	feature	NOUN
cana-1241	189	17	,	,	PUNCT
cana-1241	189	18	the	the	DET
cana-1241	189	19	null	null	ADJ
cana-1241	189	20	hypothesis	hypothesis	NOUN
cana-1241	189	21	is	be	AUX
cana-1241	189	22	rejected	reject	VERB
cana-1241	189	23	.	.	PUNCT
cana-1241	190	1	6	6	X
cana-1241	190	2	.	.	X
cana-1241	190	3	eliminates	eliminate	VERB
cana-1241	190	4	features	feature	NOUN
cana-1241	190	5	from	from	ADP
cana-1241	190	6	the	the	DET
cana-1241	190	7	synthetic	synthetic	ADJ
cana-1241	190	8	and	and	CCONJ
cana-1241	190	9	original	original	ADJ
cana-1241	190	10	datasets	dataset	NOUN
cana-1241	190	11	that	that	PRON
cana-1241	190	12	are	be	AUX
cana-1241	190	13	deemed	deem	VERB
cana-1241	190	14	irrelevant	irrelevant	ADJ
cana-1241	190	15	.	.	PUNCT
cana-1241	191	1	7	7	X
cana-1241	191	2	.	.	NOUN
cana-1241	191	3	after	after	ADP
cana-1241	191	4	n	n	PRON
cana-1241	191	5	iterations	iteration	NOUN
cana-1241	191	6	,	,	PUNCT
cana-1241	191	7	repeat	repeat	VERB
cana-1241	191	8	all	all	DET
cana-1241	191	9	the	the	DET
cana-1241	191	10	procedures	procedure	NOUN
cana-1241	191	11	until	until	SCONJ
cana-1241	191	12	all	all	DET
cana-1241	191	13	features	feature	NOUN
cana-1241	191	14	are	be	AUX
cana-1241	191	15	eliminated	eliminate	VERB
cana-1241	191	16	or	or	CCONJ
cana-1241	191	17	deemed	deem	VERB
cana-1241	191	18	significant	significant	ADJ
cana-1241	191	19	.	.	PUNCT
cana-1241	192	1	boruta	boruta	PROPN
cana-1241	192	2	's	's	PART
cana-1241	192	3	implementation	implementation	NOUN
cana-1241	192	4	in	in	ADP
cana-1241	192	5	python	python	PROPN
cana-1241	192	6	boruta	boruta	PROPN
cana-1241	192	7	uses	use	VERB
cana-1241	192	8	its	its	PRON
cana-1241	192	9	own	own	ADJ
cana-1241	192	10	library	library	NOUN
cana-1241	192	11	to	to	PART
cana-1241	192	12	function	function	VERB
cana-1241	192	13	in	in	ADP
cana-1241	192	14	python	python	PROPN
cana-1241	192	15	.	.	PUNCT
cana-1241	193	1	the	the	DET
cana-1241	193	2	load_ckd	load_ckd	X
cana-1241	193	3	(	(	PUNCT
cana-1241	193	4	)	)	PUNCT
cana-1241	193	5	dataset	dataset	VERB
cana-1241	193	6	from	from	ADP
cana-1241	193	7	sklearn.datasets	sklearn.dataset	NOUN
cana-1241	193	8	will	will	AUX
cana-1241	193	9	be	be	AUX
cana-1241	193	10	used	use	VERB
cana-1241	193	11	to	to	PART
cana-1241	193	12	evaluate	evaluate	VERB
cana-1241	193	13	boruta	boruta	NOUN
cana-1241	193	14	on	on	ADP
cana-1241	193	15	a	a	DET
cana-1241	193	16	regression	regression	NOUN
cana-1241	193	17	issue	issue	NOUN
cana-1241	193	18	.	.	PUNCT
cana-1241	194	1	when	when	SCONJ
cana-1241	194	2	the	the	DET
cana-1241	194	3	script	script	NOUN
cana-1241	194	4	is	be	AUX
cana-1241	194	5	executed	execute	VERB
cana-1241	194	6	,	,	PUNCT
cana-1241	194	7	the	the	DET
cana-1241	194	8	terminal	terminal	NOUN
cana-1241	194	9	will	will	AUX
cana-1241	194	10	display	display	VERB
cana-1241	194	11	the	the	DET
cana-1241	194	12	graphic	graphic	NOUN
cana-1241	194	13	that	that	PRON
cana-1241	194	14	illustrates	illustrate	VERB
cana-1241	194	15	how	how	SCONJ
cana-1241	194	16	boruta	boruta	NOUN
cana-1241	194	17	is	be	AUX
cana-1241	194	18	constructing	construct	VERB
cana-1241	194	19	its	its	PRON
cana-1241	194	20	inferences	inference	NOUN
cana-1241	194	21	in	in	ADP
cana-1241	194	22	figure.6	figure.6	PROPN
cana-1241	194	23	communications	communication	NOUN
cana-1241	194	24	on	on	ADP
cana-1241	194	25	applied	apply	VERB
cana-1241	194	26	nonlinear	nonlinear	ADJ
cana-1241	194	27	analysis	analysis	NOUN
cana-1241	194	28	issn	issn	NOUN
cana-1241	194	29	:	:	PUNCT
cana-1241	194	30	1074	1074	NUM
cana-1241	194	31	-	-	PUNCT
cana-1241	194	32	133x	133x	NUM
cana-1241	194	33	vol	vol	NOUN
cana-1241	194	34	31	31	NUM
cana-1241	194	35	no	no	NOUN
cana-1241	194	36	.	.	PUNCT
cana-1241	195	1	6s	6s	NUM
cana-1241	195	2	(	(	PUNCT
cana-1241	195	3	2024	2024	NUM
cana-1241	195	4	)	)	PUNCT
cana-1241	195	5	532	532	NUM
cana-1241	195	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	195	7	figure	figure	NOUN
cana-1241	195	8	6	6	NUM
cana-1241	195	9	the	the	DET
cana-1241	195	10	final	final	ADJ
cana-1241	195	11	result	result	NOUN
cana-1241	195	12	of	of	ADP
cana-1241	195	13	boruta	boruta	NOUN
cana-1241	195	14	's	's	PART
cana-1241	195	15	ten	ten	NUM
cana-1241	195	16	iterations	iteration	NOUN
cana-1241	195	17	on	on	ADP
cana-1241	195	18	the	the	DET
cana-1241	195	19	sklearn	sklearn	PROPN
cana-1241	195	20	ckd	ckd	PROPN
cana-1241	195	21	dataset	dataset	NOUN
cana-1241	195	22	figure	figure	NOUN
cana-1241	195	23	7	7	NUM
cana-1241	195	24	boruta	boruta	PROPN
cana-1241	195	25	result	result	NOUN
cana-1241	195	26	report	report	NOUN
cana-1241	195	27	figure	figure	NOUN
cana-1241	195	28	7	7	NUM
cana-1241	195	29	indicates	indicate	VERB
cana-1241	195	30	that	that	SCONJ
cana-1241	195	31	the	the	DET
cana-1241	195	32	features	feature	NOUN
cana-1241	195	33	that	that	PRON
cana-1241	195	34	are	be	AUX
cana-1241	195	35	most	most	ADV
cana-1241	195	36	important	important	ADJ
cana-1241	195	37	in	in	ADP
cana-1241	195	38	constructing	construct	VERB
cana-1241	195	39	our	our	PRON
cana-1241	195	40	predictive	predictive	ADJ
cana-1241	195	41	model	model	NOUN
cana-1241	195	42	are	be	AUX
cana-1241	195	43	age	age	NOUN
cana-1241	195	44	,	,	PUNCT
cana-1241	195	45	sg	sg	PROPN
cana-1241	195	46	,	,	PUNCT
cana-1241	195	47	al	al	PROPN
cana-1241	195	48	,	,	PUNCT
cana-1241	195	49	bgr	bgr	PROPN
cana-1241	195	50	,	,	PUNCT
cana-1241	195	51	and	and	CCONJ
cana-1241	195	52	bu	bu	ADP
cana-1241	195	53	.	.	PUNCT
cana-1241	196	1	additionally	additionally	ADV
cana-1241	196	2	,	,	PUNCT
cana-1241	196	3	we	we	PRON
cana-1241	196	4	use	use	VERB
cana-1241	196	5	feat_selector.transform(np.array	feat_selector.transform(np.array	NOUN
cana-1241	196	6	(	(	PUNCT
cana-1241	196	7	x	x	NOUN
cana-1241	196	8	)	)	PUNCT
cana-1241	196	9	)	)	PUNCT
cana-1241	196	10	to	to	PART
cana-1241	196	11	filter	filter	VERB
cana-1241	196	12	our	our	PRON
cana-1241	196	13	dataset	dataset	NOUN
cana-1241	196	14	and	and	CCONJ
cana-1241	196	15	select	select	VERB
cana-1241	196	16	only	only	ADV
cana-1241	196	17	the	the	DET
cana-1241	196	18	features	feature	NOUN
cana-1241	196	19	that	that	PRON
cana-1241	196	20	are	be	AUX
cana-1241	196	21	significant	significant	ADJ
cana-1241	196	22	to	to	PART
cana-1241	196	23	boruta	boruta	VERB
cana-1241	196	24	;	;	PUNCT
cana-1241	196	25	this	this	DET
cana-1241	196	26	function	function	NOUN
cana-1241	196	27	returns	return	VERB
cana-1241	196	28	a	a	DET
cana-1241	196	29	numpy	numpy	NOUN
cana-1241	196	30	array	array	NOUN
cana-1241	196	31	.	.	PUNCT
cana-1241	197	1	figure	figure	VERB
cana-1241	197	2	8	8	NUM
cana-1241	197	3	attributes	attribute	NOUN
cana-1241	197	4	chosen	choose	VERB
cana-1241	197	5	by	by	ADP
cana-1241	197	6	boruta	boruta	NOUN
cana-1241	197	7	figure	figure	NOUN
cana-1241	197	8	8	8	NUM
cana-1241	197	9	illustrates	illustrate	VERB
cana-1241	197	10	how	how	SCONJ
cana-1241	197	11	to	to	PART
cana-1241	197	12	feed	feed	VERB
cana-1241	197	13	a	a	DET
cana-1241	197	14	chosen	choose	VERB
cana-1241	197	15	set	set	NOUN
cana-1241	197	16	of	of	ADP
cana-1241	197	17	x	x	PUNCT
cana-1241	197	18	features	feature	NOUN
cana-1241	197	19	into	into	ADP
cana-1241	197	20	a	a	DET
cana-1241	197	21	rf	rf	NOUN
cana-1241	197	22	regressor	regressor	NOUN
cana-1241	197	23	model	model	NOUN
cana-1241	197	24	.	.	PUNCT
cana-1241	198	1	pseudocode	pseudocode	PROPN
cana-1241	198	2	:	:	PUNCT
cana-1241	198	3	step	step	NOUN
cana-1241	198	4	1	1	NUM
cana-1241	198	5	:	:	PUNCT
cana-1241	198	6	import	import	VERB
cana-1241	198	7	the	the	DET
cana-1241	198	8	python	python	NOUN
cana-1241	198	9	's	's	PART
cana-1241	198	10	scikit	scikit	NOUN
cana-1241	198	11	-	-	PUNCT
cana-1241	198	12	learn	learn	NOUN
cana-1241	198	13	library	library	NOUN
cana-1241	198	14	.	.	PUNCT
cana-1241	199	1	step	step	NOUN
cana-1241	199	2	2	2	NUM
cana-1241	199	3	:	:	PUNCT
cana-1241	199	4	initialize	initialize	VERB
cana-1241	199	5	borutapy	borutapy	NOUN
cana-1241	199	6	feat_selector	feat_selector	NOUN
cana-1241	199	7	=	=	NOUN
cana-1241	199	8	borutapy	borutapy	NOUN
cana-1241	199	9	verbose	verbose	VERB
cana-1241	199	10	=	=	SYM
cana-1241	199	11	2	2	NUM
cana-1241	199	12	estimator	estimator	NOUN
cana-1241	199	13	=	=	SYM
cana-1241	199	14	random	random	ADJ
cana-1241	199	15	forest	forest	NOUN
cana-1241	199	16	model	model	NOUN
cana-1241	199	17	n_estimator	n_estimator	NOUN
cana-1241	199	18	=	=	PUNCT
cana-1241	199	19	auto	auto	NOUN
cana-1241	199	20	communications	communication	NOUN
cana-1241	199	21	on	on	ADP
cana-1241	199	22	applied	apply	VERB
cana-1241	199	23	nonlinear	nonlinear	ADJ
cana-1241	199	24	analysis	analysis	NOUN
cana-1241	199	25	issn	issn	NOUN
cana-1241	199	26	:	:	PUNCT
cana-1241	199	27	1074	1074	NUM
cana-1241	199	28	-	-	PUNCT
cana-1241	199	29	133x	133x	NUM
cana-1241	199	30	vol	vol	NOUN
cana-1241	199	31	31	31	NUM
cana-1241	199	32	no	no	NOUN
cana-1241	199	33	.	.	PUNCT
cana-1241	200	1	6s	6s	NUM
cana-1241	200	2	(	(	PUNCT
cana-1241	200	3	2024	2024	NUM
cana-1241	200	4	)	)	PUNCT
cana-1241	200	5	533	533	NUM
cana-1241	200	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	200	7	number	number	NOUN
cana-1241	200	8	of	of	ADP
cana-1241	200	9	iterations	iteration	NOUN
cana-1241	200	10	=	=	SYM
cana-1241	200	11	10	10	NUM
cana-1241	200	12	step	step	NOUN
cana-1241	200	13	3	3	NUM
cana-1241	200	14	:	:	PUNCT
cana-1241	200	15	train	train	NOUN
cana-1241	200	16	boruta	boruta	NOUN
cana-1241	200	17	step	step	NOUN
cana-1241	200	18	4	4	NUM
cana-1241	200	19	:	:	PUNCT
cana-1241	200	20	initialize	initialize	NOUN
cana-1241	200	21	x	x	PUNCT
cana-1241	200	22	and	and	CCONJ
cana-1241	200	23	y	y	PROPN
cana-1241	200	24	must	must	AUX
cana-1241	200	25	be	be	AUX
cana-1241	200	26	numpy	numpy	NOUN
cana-1241	200	27	arrays	array	NOUN
cana-1241	200	28	step	step	NOUN
cana-1241	200	29	5	5	NUM
cana-1241	200	30	:	:	PUNCT
cana-1241	200	31	print	print	VERB
cana-1241	200	32	the	the	DET
cana-1241	200	33	support	support	NOUN
cana-1241	200	34	and	and	CCONJ
cana-1241	200	35	ranking	rank	VERB
cana-1241	200	36	for	for	ADP
cana-1241	200	37	each	each	DET
cana-1241	200	38	feature	feature	NOUN
cana-1241	200	39	for	for	ADP
cana-1241	200	40	i	i	PRON
cana-1241	200	41	in	in	ADP
cana-1241	200	42	range(len(feat_selector.support	range(len(feat_selector.support	NOUN
cana-1241	200	43	_	_	PRON
cana-1241	200	44	)	)	PUNCT
cana-1241	200	45	):	):	PUNCT
cana-1241	200	46	if	if	SCONJ
cana-1241	200	47	feat_selector.support_[i	feat_selector.support_[i	X
cana-1241	200	48	]	]	NOUN
cana-1241	200	49	:	:	PUNCT
cana-1241	200	50	print	print	NOUN
cana-1241	200	51	(	(	PUNCT
cana-1241	200	52	"	"	PUNCT
cana-1241	200	53	passes	pass	VERB
cana-1241	200	54	the	the	DET
cana-1241	200	55	test	test	NOUN
cana-1241	200	56	:	:	PUNCT
cana-1241	200	57	"	"	PUNCT
cana-1241	200	58	,	,	PUNCT
cana-1241	200	59	x.columns[i	x.columns[i	PROPN
cana-1241	200	60	]	]	PUNCT
cana-1241	200	61	,	,	PUNCT
cana-1241	200	62	"	"	PUNCT
cana-1241	200	63	ranking	ranking	ADJ
cana-1241	200	64	:	:	PUNCT
cana-1241	200	65	"	"	PUNCT
cana-1241	200	66	,	,	PUNCT
cana-1241	200	67	feat_selector.ranking_[i	feat_selector.ranking_[i	PROPN
cana-1241	200	68	]	]	X
cana-1241	200	69	)	)	PUNCT
cana-1241	200	70	else	else	ADV
cana-1241	200	71	:	:	PUNCT
cana-1241	200	72	print("doesn't	print("doesn't	ADV
cana-1241	200	73	pass	pass	VERB
cana-1241	200	74	the	the	DET
cana-1241	200	75	test	test	NOUN
cana-1241	200	76	:	:	PUNCT
cana-1241	200	77	"	"	PUNCT
cana-1241	200	78	,	,	PUNCT
cana-1241	200	79	x.columns[i	x.columns[i	PROPN
cana-1241	200	80	]	]	PUNCT
cana-1241	200	81	,	,	PUNCT
cana-1241	200	82	"	"	PUNCT
cana-1241	200	83	ranking	ranking	ADJ
cana-1241	200	84	:	:	PUNCT
cana-1241	200	85	"	"	PUNCT
cana-1241	200	86	,	,	PUNCT
cana-1241	200	87	feat_selector.ranking_[i	feat_selector.ranking_[i	PROPN
cana-1241	200	88	]	]	X
cana-1241	200	89	)	)	PUNCT
cana-1241	200	90	step	step	NOUN
cana-1241	200	91	6	6	NUM
cana-1241	200	92	:	:	PUNCT
cana-1241	200	93	filter	filter	VERB
cana-1241	200	94	the	the	DET
cana-1241	200	95	selected	select	VERB
cana-1241	200	96	features	feature	NOUN
cana-1241	200	97	x_filtered	x_filtered	X
cana-1241	201	1	=	=	SYM
cana-1241	201	2	feat_selector.transform(np.array	feat_selector.transform(np.array	NOUN
cana-1241	201	3	(	(	PUNCT
cana-1241	201	4	x	x	NOUN
cana-1241	201	5	)	)	PUNCT
cana-1241	201	6	)	)	PUNCT
cana-1241	201	7	step	step	NOUN
cana-1241	201	8	7	7	NUM
cana-1241	201	9	:	:	PUNCT
cana-1241	201	10	initialize	initialize	VERB
cana-1241	201	11	logistic	logistic	ADJ
cana-1241	201	12	regression	regression	NOUN
cana-1241	201	13	object	object	NOUN
cana-1241	201	14	and	and	CCONJ
cana-1241	201	15	fit	fit	ADJ
cana-1241	201	16	object	object	NOUN
cana-1241	201	17	step	step	NOUN
cana-1241	201	18	8	8	NUM
cana-1241	201	19	:	:	PUNCT
cana-1241	201	20	predict	predict	VERB
cana-1241	201	21	labels	label	NOUN
cana-1241	201	22	for	for	ADP
cana-1241	201	23	test	test	NOUN
cana-1241	201	24	set	set	VERB
cana-1241	201	25	and	and	CCONJ
cana-1241	201	26	assess	assess	NOUN
cana-1241	201	27	accuracy	accuracy	NOUN
cana-1241	201	28	results	result	NOUN
cana-1241	201	29	and	and	CCONJ
cana-1241	201	30	discussions	discussion	NOUN
cana-1241	201	31	following	follow	VERB
cana-1241	201	32	data	datum	NOUN
cana-1241	201	33	cleaning	cleaning	NOUN
cana-1241	201	34	process	process	NOUN
cana-1241	201	35	,	,	PUNCT
cana-1241	201	36	there	there	PRON
cana-1241	201	37	are	be	VERB
cana-1241	201	38	523	523	NUM
cana-1241	201	39	occurrences	occurrence	NOUN
cana-1241	201	40	in	in	ADP
cana-1241	201	41	the	the	DET
cana-1241	201	42	dataset	dataset	NOUN
cana-1241	201	43	of	of	ADP
cana-1241	201	44	patient	patient	ADJ
cana-1241	201	45	records	record	NOUN
cana-1241	201	46	related	relate	VERB
cana-1241	201	47	to	to	ADP
cana-1241	201	48	ckd	ckd	PROPN
cana-1241	201	49	;	;	PUNCT
cana-1241	201	50	80	80	NUM
cana-1241	201	51	%	%	NOUN
cana-1241	201	52	of	of	ADP
cana-1241	201	53	the	the	DET
cana-1241	201	54	dataset	dataset	NOUN
cana-1241	201	55	is	be	AUX
cana-1241	201	56	used	use	VERB
cana-1241	201	57	as	as	ADP
cana-1241	201	58	the	the	DET
cana-1241	201	59	training	training	NOUN
cana-1241	201	60	set	set	NOUN
cana-1241	201	61	,	,	PUNCT
cana-1241	201	62	and	and	CCONJ
cana-1241	201	63	the	the	DET
cana-1241	201	64	remaining	remain	VERB
cana-1241	201	65	20	20	NUM
cana-1241	201	66	%	%	NOUN
cana-1241	201	67	of	of	ADP
cana-1241	201	68	dataset	dataset	NOUN
cana-1241	201	69	is	be	AUX
cana-1241	201	70	used	use	VERB
cana-1241	201	71	as	as	ADP
cana-1241	201	72	the	the	DET
cana-1241	201	73	testing	testing	NOUN
cana-1241	201	74	set	set	NOUN
cana-1241	201	75	.	.	PUNCT
cana-1241	202	1	the	the	DET
cana-1241	202	2	best	good	ADJ
cana-1241	202	3	classification	classification	NOUN
cana-1241	202	4	according	accord	VERB
cana-1241	202	5	to	to	ADP
cana-1241	202	6	ckd	ckd	PROPN
cana-1241	202	7	status	status	PROPN
cana-1241	202	8	,	,	PUNCT
cana-1241	202	9	such	such	ADJ
cana-1241	202	10	as	as	ADP
cana-1241	202	11	"	"	PUNCT
cana-1241	202	12	no	no	DET
cana-1241	202	13	ckd	ckd	NOUN
cana-1241	202	14	,	,	PUNCT
cana-1241	202	15	"	"	PUNCT
cana-1241	202	16	"	"	PUNCT
cana-1241	202	17	high	high	ADJ
cana-1241	202	18	risk	risk	NOUN
cana-1241	202	19	,	,	PUNCT
cana-1241	202	20	"	"	PUNCT
cana-1241	202	21	"	"	PUNCT
cana-1241	202	22	kidney	kidney	NOUN
cana-1241	202	23	failure	failure	NOUN
cana-1241	202	24	,	,	PUNCT
cana-1241	202	25	"	"	PUNCT
cana-1241	202	26	"	"	PUNCT
cana-1241	202	27	moderate	moderate	ADJ
cana-1241	202	28	risk	risk	NOUN
cana-1241	202	29	,	,	PUNCT
cana-1241	202	30	"	"	PUNCT
cana-1241	202	31	and	and	CCONJ
cana-1241	202	32	"	"	PUNCT
cana-1241	202	33	very	very	ADV
cana-1241	202	34	high	high	ADJ
cana-1241	202	35	risk	risk	NOUN
cana-1241	202	36	,	,	PUNCT
cana-1241	202	37	"	"	PUNCT
cana-1241	202	38	is	be	AUX
cana-1241	202	39	determined	determine	VERB
cana-1241	202	40	using	use	VERB
cana-1241	202	41	the	the	DET
cana-1241	202	42	suggested	suggest	VERB
cana-1241	202	43	bfs	bfs	NOUN
cana-1241	202	44	with	with	ADP
cana-1241	202	45	erfc	erfc	NOUN
cana-1241	202	46	classifier	classifier	NOUN
cana-1241	202	47	models	model	NOUN
cana-1241	202	48	.	.	PUNCT
cana-1241	203	1	the	the	DET
cana-1241	203	2	programming	programming	NOUN
cana-1241	203	3	language	language	NOUN
cana-1241	203	4	python	python	NOUN
cana-1241	203	5	is	be	AUX
cana-1241	203	6	used	use	VERB
cana-1241	203	7	to	to	PART
cana-1241	203	8	carry	carry	VERB
cana-1241	203	9	out	out	ADP
cana-1241	203	10	the	the	DET
cana-1241	203	11	experiment	experiment	NOUN
cana-1241	203	12	.	.	PUNCT
cana-1241	204	1	below	below	ADP
cana-1241	204	2	is	be	AUX
cana-1241	204	3	a	a	DET
cana-1241	204	4	calculation	calculation	NOUN
cana-1241	204	5	and	and	CCONJ
cana-1241	204	6	identification	identification	NOUN
cana-1241	204	7	of	of	ADP
cana-1241	204	8	the	the	DET
cana-1241	204	9	confusion	confusion	NOUN
cana-1241	204	10	matrix	matrix	NOUN
cana-1241	204	11	(	(	PUNCT
cana-1241	204	12	cm	cm	NOUN
cana-1241	204	13	)	)	PUNCT
cana-1241	204	14	parameter	parameter	NOUN
cana-1241	204	15	for	for	ADP
cana-1241	204	16	the	the	DET
cana-1241	204	17	suggested	suggest	VERB
cana-1241	204	18	bfs	bfs	NOUN
cana-1241	204	19	with	with	ADP
cana-1241	204	20	erfc	erfc	NOUN
cana-1241	204	21	classifier	classifier	NOUN
cana-1241	204	22	models	model	NOUN
cana-1241	204	23	and	and	CCONJ
cana-1241	204	24	the	the	DET
cana-1241	204	25	status	status	NOUN
cana-1241	204	26	of	of	ADP
cana-1241	204	27	each	each	DET
cana-1241	204	28	classifier	classifier	NOUN
cana-1241	204	29	's	's	PART
cana-1241	204	30	testing	testing	NOUN
cana-1241	204	31	.	.	PUNCT
cana-1241	205	1	figure	figure	NOUN
cana-1241	205	2	9	9	NUM
cana-1241	205	3	cm	cm	NOUN
cana-1241	205	4	for	for	ADP
cana-1241	205	5	the	the	DET
cana-1241	205	6	suggested	suggest	VERB
cana-1241	205	7	model	model	NOUN
cana-1241	205	8	's	's	PART
cana-1241	205	9	multi	multi	ADJ
cana-1241	205	10	-	-	ADJ
cana-1241	205	11	class	class	ADJ
cana-1241	205	12	classification	classification	NOUN
cana-1241	205	13	communications	communication	NOUN
cana-1241	205	14	on	on	ADP
cana-1241	205	15	applied	apply	VERB
cana-1241	205	16	nonlinear	nonlinear	ADJ
cana-1241	205	17	analysis	analysis	NOUN
cana-1241	205	18	issn	issn	NOUN
cana-1241	205	19	:	:	PUNCT
cana-1241	205	20	1074	1074	NUM
cana-1241	205	21	-	-	PUNCT
cana-1241	205	22	133x	133x	NUM
cana-1241	205	23	vol	vol	NOUN
cana-1241	205	24	31	31	NUM
cana-1241	205	25	no	no	NOUN
cana-1241	205	26	.	.	PUNCT
cana-1241	206	1	6s	6s	NUM
cana-1241	206	2	(	(	PUNCT
cana-1241	206	3	2024	2024	NUM
cana-1241	206	4	)	)	PUNCT
cana-1241	206	5	534	534	NUM
cana-1241	206	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	206	7	figure	figure	NOUN
cana-1241	206	8	9	9	NUM
cana-1241	206	9	shows	show	VERB
cana-1241	206	10	how	how	SCONJ
cana-1241	206	11	this	this	DET
cana-1241	206	12	kind	kind	NOUN
cana-1241	206	13	of	of	ADP
cana-1241	206	14	categorization	categorization	NOUN
cana-1241	206	15	can	can	AUX
cana-1241	206	16	be	be	AUX
cana-1241	206	17	used	use	VERB
cana-1241	206	18	to	to	PART
cana-1241	206	19	identify	identify	VERB
cana-1241	206	20	five	five	NUM
cana-1241	206	21	different	different	ADJ
cana-1241	206	22	types	type	NOUN
cana-1241	206	23	of	of	ADP
cana-1241	206	24	classification	classification	NOUN
cana-1241	206	25	difficulties	difficulty	NOUN
cana-1241	206	26	.	.	PUNCT
cana-1241	207	1	the	the	DET
cana-1241	207	2	cm	cm	PROPN
cana-1241	207	3	parameter	parameter	NOUN
cana-1241	207	4	plays	play	VERB
cana-1241	207	5	important	important	ADJ
cana-1241	207	6	roles	role	NOUN
cana-1241	207	7	in	in	ADP
cana-1241	207	8	classification	classification	NOUN
cana-1241	207	9	,	,	PUNCT
cana-1241	207	10	but	but	CCONJ
cana-1241	207	11	they	they	PRON
cana-1241	207	12	are	be	AUX
cana-1241	207	13	not	not	PART
cana-1241	207	14	as	as	ADV
cana-1241	207	15	common	common	ADJ
cana-1241	207	16	as	as	ADP
cana-1241	207	17	binary	binary	ADJ
cana-1241	207	18	classification	classification	NOUN
cana-1241	207	19	.	.	PUNCT
cana-1241	208	1	the	the	DET
cana-1241	208	2	suggested	suggest	VERB
cana-1241	208	3	bfs	bfs	NOUN
cana-1241	208	4	with	with	ADP
cana-1241	208	5	erfc	erfc	PROPN
cana-1241	208	6	's	's	PART
cana-1241	208	7	the	the	DET
cana-1241	208	8	values	value	NOUN
cana-1241	208	9	in	in	ADP
cana-1241	208	10	the	the	DET
cana-1241	208	11	arrays	array	NOUN
cana-1241	208	12	denoting	denote	VERB
cana-1241	208	13	0	0	NUM
cana-1241	208	14	represents	represent	VERB
cana-1241	208	15	no	no	DET
cana-1241	208	16	ckd	ckd	NOUN
cana-1241	208	17	,	,	PUNCT
cana-1241	208	18	1	1	NUM
cana-1241	208	19	represents	represent	VERB
cana-1241	208	20	high	high	ADJ
cana-1241	208	21	risk	risk	NOUN
cana-1241	208	22	,	,	PUNCT
cana-1241	208	23	2	2	NUM
cana-1241	208	24	represents	represent	VERB
cana-1241	208	25	kidney	kidney	NOUN
cana-1241	208	26	failure	failure	NOUN
cana-1241	208	27	,	,	PUNCT
cana-1241	208	28	3	3	NUM
cana-1241	208	29	represents	represent	VERB
cana-1241	208	30	moderate	moderate	ADJ
cana-1241	208	31	risk	risk	NOUN
cana-1241	208	32	and	and	CCONJ
cana-1241	208	33	4	4	NUM
cana-1241	208	34	represents	represent	VERB
cana-1241	208	35	very	very	ADV
cana-1241	208	36	high	high	ADJ
cana-1241	208	37	risk	risk	NOUN
cana-1241	208	38	respectively	respectively	ADV
cana-1241	208	39	.	.	PUNCT
cana-1241	209	1	multi	multi	ADJ
cana-1241	209	2	-	-	ADJ
cana-1241	209	3	label	label	ADJ
cana-1241	209	4	binary	binary	ADJ
cana-1241	209	5	quality	quality	NOUN
cana-1241	209	6	can	can	AUX
cana-1241	209	7	be	be	AUX
cana-1241	209	8	evaluated	evaluate	VERB
cana-1241	209	9	using	use	VERB
cana-1241	209	10	the	the	DET
cana-1241	209	11	micro	micro	ADJ
cana-1241	209	12	f1	f1	NOUN
cana-1241	209	13	-	-	PUNCT
cana-1241	209	14	score	score	NOUN
cana-1241	209	15	.	.	PUNCT
cana-1241	210	1	according	accord	VERB
cana-1241	210	2	to	to	ADP
cana-1241	210	3	equation	equation	NOUN
cana-1241	210	4	4	4	NUM
cana-1241	210	5	,	,	PUNCT
cana-1241	210	6	micro	micro	ADJ
cana-1241	210	7	f1	f1	NOUN
cana-1241	210	8	-	-	PUNCT
cana-1241	210	9	score	score	NOUN
cana-1241	210	10	measurements	measurement	NOUN
cana-1241	210	11	that	that	PRON
cana-1241	210	12	are	be	AUX
cana-1241	210	13	computed	compute	VERB
cana-1241	210	14	worldwide	worldwide	ADV
cana-1241	210	15	which	which	PRON
cana-1241	210	16	have	have	AUX
cana-1241	210	17	been	be	AUX
cana-1241	210	18	determined	determine	VERB
cana-1241	210	19	to	to	PART
cana-1241	210	20	be	be	AUX
cana-1241	210	21	equal	equal	ADJ
cana-1241	210	22	.	.	PUNCT
cana-1241	211	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-1241	211	2	=	=	SYM
cana-1241	211	3	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-1241	211	4	=	=	SYM
cana-1241	211	5	𝑀𝑖𝑐𝑟𝑜	𝑀𝑖𝑐𝑟𝑜	PROPN
cana-1241	211	6	𝐹1	𝐹1	NOUN
cana-1241	211	7	−	−	PROPN
cana-1241	211	8	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-1241	211	9	=	=	PROPN
cana-1241	211	10	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-1241	211	11	…	…	PUNCT
cana-1241	211	12	…	…	PUNCT
cana-1241	211	13	……	……	NOUN
cana-1241	211	14	……	……	NOUN
cana-1241	211	15	(	(	PUNCT
cana-1241	211	16	4	4	NUM
cana-1241	211	17	)	)	PUNCT
cana-1241	211	18	while	while	SCONJ
cana-1241	211	19	the	the	DET
cana-1241	211	20	five	five	NUM
cana-1241	211	21	classes	class	NOUN
cana-1241	211	22	are	be	AUX
cana-1241	211	23	accumulated	accumulate	VERB
cana-1241	211	24	,	,	PUNCT
cana-1241	211	25	the	the	DET
cana-1241	211	26	micro	micro	ADJ
cana-1241	211	27	accuracy	accuracy	NOUN
cana-1241	211	28	and	and	CCONJ
cana-1241	211	29	micro	micro	ADJ
cana-1241	211	30	recall	recall	NOUN
cana-1241	211	31	can	can	AUX
cana-1241	211	32	be	be	AUX
cana-1241	211	33	computed	compute	VERB
cana-1241	211	34	using	use	VERB
cana-1241	211	35	cm	cm	NOUN
cana-1241	211	36	parameters	parameter	NOUN
cana-1241	211	37	.	.	PUNCT
cana-1241	212	1	therefore	therefore	ADV
cana-1241	212	2	,	,	PUNCT
cana-1241	212	3	according	accord	VERB
cana-1241	212	4	to	to	ADP
cana-1241	212	5	equation	equation	NOUN
cana-1241	212	6	4	4	NUM
cana-1241	212	7	,	,	PUNCT
cana-1241	212	8	the	the	DET
cana-1241	212	9	suggested	suggest	VERB
cana-1241	212	10	bfs	bfs	NOUN
cana-1241	212	11	with	with	ADP
cana-1241	212	12	erfc	erfc	PROPN
cana-1241	212	13	model	model	PROPN
cana-1241	212	14	's	's	PART
cana-1241	212	15	accuracy	accuracy	NOUN
cana-1241	212	16	is	be	AUX
cana-1241	212	17	said	say	VERB
cana-1241	212	18	to	to	PART
cana-1241	212	19	be	be	AUX
cana-1241	212	20	0.92	0.92	NUM
cana-1241	212	21	based	base	VERB
cana-1241	212	22	on	on	ADP
cana-1241	212	23	the	the	DET
cana-1241	212	24	micro	micro	ADJ
cana-1241	212	25	f1	f1	NOUN
cana-1241	212	26	-	-	PUNCT
cana-1241	212	27	score	score	NOUN
cana-1241	212	28	.	.	PUNCT
cana-1241	213	1	therefore	therefore	ADV
cana-1241	213	2	,	,	PUNCT
cana-1241	213	3	the	the	DET
cana-1241	213	4	suggested	suggest	VERB
cana-1241	213	5	model	model	NOUN
cana-1241	213	6	's	's	PART
cana-1241	213	7	accuracy	accuracy	NOUN
cana-1241	213	8	is	be	AUX
cana-1241	213	9	0.92	0.92	NUM
cana-1241	213	10	(	(	PUNCT
cana-1241	213	11	92.38	92.38	NUM
cana-1241	213	12	%	%	NOUN
cana-1241	213	13	)	)	PUNCT
cana-1241	213	14	.	.	PUNCT
cana-1241	214	1	similarly	similarly	ADV
cana-1241	214	2	,	,	PUNCT
cana-1241	214	3	table	table	NOUN
cana-1241	214	4	1	1	NUM
cana-1241	214	5	and	and	CCONJ
cana-1241	214	6	figure	figure	VERB
cana-1241	214	7	10	10	NUM
cana-1241	214	8	calculate	calculate	NOUN
cana-1241	214	9	and	and	CCONJ
cana-1241	214	10	display	display	VERB
cana-1241	214	11	different	different	ADJ
cana-1241	214	12	classifier	classifier	NOUN
cana-1241	214	13	techniques	technique	NOUN
cana-1241	214	14	.	.	PUNCT
cana-1241	215	1	table	table	NOUN
cana-1241	215	2	1	1	NUM
cana-1241	215	3	the	the	DET
cana-1241	215	4	accuracy	accuracy	NOUN
cana-1241	215	5	of	of	ADP
cana-1241	215	6	different	different	ADJ
cana-1241	215	7	classifier	classifier	NOUN
cana-1241	215	8	models	model	NOUN
cana-1241	215	9	using	use	VERB
cana-1241	215	10	the	the	DET
cana-1241	215	11	suggested	suggest	VERB
cana-1241	215	12	bfs	bfs	NOUN
cana-1241	215	13	and	and	CCONJ
cana-1241	215	14	erfc	erfc	PROPN
cana-1241	215	15	model	model	PROPN
cana-1241	215	16	classifier	classifier	PROPN
cana-1241	215	17	model	model	PROPN
cana-1241	215	18	accuracy	accuracy	PROPN
cana-1241	215	19	rwom	rwom	NOUN
cana-1241	215	20	with	with	ADP
cana-1241	215	21	nn	nn	PROPN
cana-1241	215	22	0.88	0.88	NUM
cana-1241	215	23	rwom	rwom	NOUN
cana-1241	215	24	with	with	ADP
cana-1241	215	25	lr	lr	PROPN
cana-1241	215	26	0.45	0.45	NUM
cana-1241	215	27	ensemble	ensemble	ADJ
cana-1241	215	28	based	base	VERB
cana-1241	215	29	random	random	ADJ
cana-1241	215	30	forest	forest	NOUN
cana-1241	215	31	0.904	0.904	NUM
cana-1241	215	32	proposed	propose	VERB
cana-1241	215	33	bfs	bfs	PROPN
cana-1241	215	34	-	-	PUNCT
cana-1241	215	35	erfc	erfc	NOUN
cana-1241	215	36	model	model	NOUN
cana-1241	215	37	0.92	0.92	NUM
cana-1241	215	38	figure	figure	NOUN
cana-1241	215	39	10	10	NUM
cana-1241	215	40	ckd	ckd	PROPN
cana-1241	215	41	status	status	NOUN
cana-1241	215	42	accuracy	accuracy	NOUN
cana-1241	215	43	score	score	NOUN
cana-1241	215	44	with	with	ADP
cana-1241	215	45	a	a	DET
cana-1241	215	46	classification	classification	NOUN
cana-1241	215	47	method	method	NOUN
cana-1241	215	48	the	the	DET
cana-1241	215	49	macro	macro	ADJ
cana-1241	215	50	average	average	ADJ
cana-1241	215	51	f1	f1	NOUN
cana-1241	215	52	-	-	PUNCT
cana-1241	215	53	score	score	NOUN
cana-1241	215	54	for	for	ADP
cana-1241	215	55	each	each	DET
cana-1241	215	56	category	category	NOUN
cana-1241	215	57	in	in	ADP
cana-1241	215	58	the	the	DET
cana-1241	215	59	suggested	suggest	VERB
cana-1241	215	60	bfs	bfs	PROPN
cana-1241	215	61	-	-	PUNCT
cana-1241	215	62	erfc	erfc	NOUN
cana-1241	215	63	model	model	NOUN
cana-1241	215	64	is	be	AUX
cana-1241	215	65	determined	determine	VERB
cana-1241	215	66	by	by	ADP
cana-1241	215	67	evaluating	evaluate	VERB
cana-1241	215	68	the	the	DET
cana-1241	215	69	cm	cm	NOUN
cana-1241	215	70	parameters	parameter	NOUN
cana-1241	215	71	,	,	PUNCT
cana-1241	215	72	such	such	ADJ
cana-1241	215	73	as	as	ADP
cana-1241	215	74	precision	precision	NOUN
cana-1241	215	75	,	,	PUNCT
cana-1241	215	76	recall	recall	NOUN
cana-1241	215	77	,	,	PUNCT
cana-1241	215	78	and	and	CCONJ
cana-1241	215	79	f1	f1	NOUN
cana-1241	215	80	-	-	PUNCT
cana-1241	215	81	score	score	NOUN
cana-1241	215	82	,	,	PUNCT
cana-1241	215	83	using	use	VERB
cana-1241	215	84	the	the	DET
cana-1241	215	85	corresponding	correspond	VERB
cana-1241	215	86	ml	ml	NOUN
cana-1241	215	87	approaches	approach	NOUN
cana-1241	215	88	.	.	PUNCT
cana-1241	216	1	in	in	ADP
cana-1241	216	2	the	the	DET
cana-1241	216	3	same	same	ADJ
cana-1241	216	4	manner	manner	NOUN
cana-1241	216	5	,	,	PUNCT
cana-1241	216	6	the	the	DET
cana-1241	216	7	weighted	weight	VERB
cana-1241	216	8	score	score	NOUN
cana-1241	216	9	is	be	AUX
cana-1241	216	10	determined	determine	VERB
cana-1241	216	11	by	by	ADP
cana-1241	216	12	adding	add	VERB
cana-1241	216	13	the	the	DET
cana-1241	216	14	weights	weight	NOUN
cana-1241	216	15	assigned	assign	VERB
cana-1241	216	16	to	to	ADP
cana-1241	216	17	each	each	DET
cana-1241	216	18	category	category	NOUN
cana-1241	216	19	to	to	ADP
cana-1241	216	20	the	the	DET
cana-1241	216	21	total	total	ADJ
cana-1241	216	22	number	number	NOUN
cana-1241	216	23	of	of	ADP
cana-1241	216	24	samples	sample	NOUN
cana-1241	216	25	.	.	PUNCT
cana-1241	217	1	table	table	NOUN
cana-1241	217	2	2	2	NUM
cana-1241	217	3	displays	display	VERB
cana-1241	217	4	the	the	DET
cana-1241	217	5	performance	performance	NOUN
cana-1241	217	6	metrics	metric	NOUN
cana-1241	217	7	for	for	ADP
cana-1241	217	8	weighted	weighted	ADJ
cana-1241	217	9	and	and	CCONJ
cana-1241	217	10	macro	macro	ADJ
cana-1241	217	11	scores	score	NOUN
cana-1241	217	12	to	to	ADP
cana-1241	217	13	all	all	DET
cana-1241	217	14	ml	ml	NOUN
cana-1241	217	15	techniques	technique	NOUN
cana-1241	217	16	.	.	PUNCT
cana-1241	218	1	communications	communication	NOUN
cana-1241	218	2	on	on	ADP
cana-1241	218	3	applied	apply	VERB
cana-1241	218	4	nonlinear	nonlinear	ADJ
cana-1241	218	5	analysis	analysis	NOUN
cana-1241	218	6	issn	issn	NOUN
cana-1241	218	7	:	:	PUNCT
cana-1241	218	8	1074	1074	NUM
cana-1241	218	9	-	-	PUNCT
cana-1241	218	10	133x	133x	NUM
cana-1241	218	11	vol	vol	NOUN
cana-1241	218	12	31	31	NUM
cana-1241	218	13	no	no	NOUN
cana-1241	218	14	.	.	PUNCT
cana-1241	219	1	6s	6s	NUM
cana-1241	219	2	(	(	PUNCT
cana-1241	219	3	2024	2024	NUM
cana-1241	219	4	)	)	PUNCT
cana-1241	220	1	535	535	NUM
cana-1241	220	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1241	220	3	table	table	NOUN
cana-1241	220	4	2	2	NUM
cana-1241	220	5	performance	performance	NOUN
cana-1241	220	6	metrics	metric	NOUN
cana-1241	220	7	for	for	ADP
cana-1241	220	8	weighted	weighted	ADJ
cana-1241	220	9	and	and	CCONJ
cana-1241	220	10	macro	macro	ADJ
cana-1241	220	11	scores	score	NOUN
cana-1241	220	12	for	for	ADP
cana-1241	220	13	various	various	ADJ
cana-1241	220	14	classifier	classifier	NOUN
cana-1241	220	15	ml	ml	NOUN
cana-1241	220	16	technique	technique	NOUN
cana-1241	220	17	macro	macro	PROPN
cana-1241	220	18	avg	avg	PROPN
cana-1241	220	19	precision	precision	PROPN
cana-1241	220	20	score	score	PROPN
cana-1241	220	21	macro	macro	PROPN
cana-1241	220	22	avg	avg	PROPN
cana-1241	220	23	recall	recall	PROPN
cana-1241	220	24	score	score	PROPN
cana-1241	220	25	macro	macro	PROPN
cana-1241	220	26	avg	avg	PROPN
cana-1241	220	27	f1score	f1score	PROPN
cana-1241	220	28	value	value	PROPN
cana-1241	220	29	weighted	weight	VERB
cana-1241	220	30	avg	avg	PROPN
cana-1241	220	31	precision	precision	PROPN
cana-1241	220	32	score	score	NOUN
cana-1241	220	33	weighted	weight	VERB
cana-1241	220	34	avg	avg	PROPN
cana-1241	220	35	recall	recall	PROPN
cana-1241	220	36	score	score	PROPN
cana-1241	220	37	weighted	weight	VERB
cana-1241	220	38	avg	avg	PROPN
cana-1241	220	39	f1	f1	PROPN
cana-1241	220	40	-	-	PUNCT
cana-1241	220	41	score	score	NOUN
cana-1241	220	42	value	value	NOUN
cana-1241	220	43	rwom	rwom	NOUN
cana-1241	220	44	with	with	ADP
cana-1241	220	45	nn	nn	PROPN
cana-1241	220	46	0.84	0.84	NUM
cana-1241	220	47	0.82	0.82	NUM
cana-1241	220	48	0.82	0.82	NUM
cana-1241	220	49	0.91	0.91	NUM
cana-1241	220	50	0.89	0.89	NUM
cana-1241	220	51	0.89	0.89	NUM
cana-1241	220	52	rwom	rwom	NOUN
cana-1241	220	53	with	with	ADP
cana-1241	220	54	lr	lr	PROPN
cana-1241	220	55	0.37	0.37	NUM
cana-1241	220	56	0.32	0.32	NUM
cana-1241	220	57	0.33	0.33	NUM
cana-1241	220	58	0.54	0.54	NUM
cana-1241	220	59	0.46	0.46	NUM
cana-1241	220	60	0.48	0.48	NUM
cana-1241	220	61	ensemble	ensemble	ADJ
cana-1241	220	62	based	base	VERB
cana-1241	220	63	random	random	ADJ
cana-1241	220	64	forest	forest	NOUN
cana-1241	220	65	0.97	0.97	NUM
cana-1241	220	66	0.82	0.82	NUM
cana-1241	220	67	0.87	0.87	NUM
cana-1241	220	68	0.97	0.97	NUM
cana-1241	220	69	0.90	0.90	NUM
cana-1241	220	70	0.93	0.93	NUM
cana-1241	220	71	proposed	propose	VERB
cana-1241	220	72	bfserfc	bfserfc	NOUN
cana-1241	220	73	model	model	NOUN
cana-1241	220	74	0.97	0.97	NUM
cana-1241	220	75	0.84	0.84	NUM
cana-1241	220	76	0.89	0.89	NUM
cana-1241	220	77	0.97	0.97	NUM
cana-1241	220	78	0.92	0.92	NUM
cana-1241	220	79	0.94	0.94	NUM
cana-1241	220	80	figure	figure	NOUN
cana-1241	220	81	11	11	NUM
cana-1241	220	82	performance	performance	NOUN
cana-1241	220	83	metrics	metric	NOUN
cana-1241	220	84	for	for	ADP
cana-1241	220	85	weighted	weighted	ADJ
cana-1241	220	86	and	and	CCONJ
cana-1241	220	87	macro	macro	ADJ
cana-1241	220	88	scores	score	NOUN
cana-1241	220	89	for	for	ADP
cana-1241	220	90	classify	classify	NOUN
cana-1241	220	91	ckd	ckd	PROPN
cana-1241	220	92	status	status	NOUN
cana-1241	220	93	the	the	DET
cana-1241	220	94	macro	macro	ADJ
cana-1241	220	95	avg	avg	NOUN
cana-1241	220	96	and	and	CCONJ
cana-1241	220	97	weighted	weight	VERB
cana-1241	220	98	avg	avg	NOUN
cana-1241	220	99	for	for	SCONJ
cana-1241	220	100	the	the	DET
cana-1241	220	101	suggested	suggest	VERB
cana-1241	220	102	model	model	NOUN
cana-1241	220	103	using	use	VERB
cana-1241	220	104	different	different	ADJ
cana-1241	220	105	ml	ml	NOUN
cana-1241	220	106	approaches	approach	NOUN
cana-1241	220	107	are	be	AUX
cana-1241	220	108	shown	show	VERB
cana-1241	220	109	in	in	ADP
cana-1241	220	110	figure	figure	NOUN
cana-1241	220	111	11	11	NUM
cana-1241	220	112	.	.	PUNCT
cana-1241	221	1	compared	compare	VERB
cana-1241	221	2	to	to	ADP
cana-1241	221	3	previous	previous	ADJ
cana-1241	221	4	ml	ml	NOUN
cana-1241	221	5	techniques	technique	NOUN
cana-1241	221	6	,	,	PUNCT
cana-1241	221	7	the	the	DET
cana-1241	221	8	suggested	suggest	VERB
cana-1241	221	9	bfs	bfs	PROPN
cana-1241	221	10	-	-	PUNCT
cana-1241	221	11	erfc	erfc	NOUN
cana-1241	221	12	model	model	NOUN
cana-1241	221	13	performs	perform	VERB
cana-1241	221	14	better	well	ADV
cana-1241	221	15	in	in	ADP
cana-1241	221	16	terms	term	NOUN
cana-1241	221	17	of	of	ADP
cana-1241	221	18	macro	macro	NOUN
cana-1241	221	19	and	and	CCONJ
cana-1241	221	20	weighted	weight	VERB
cana-1241	221	21	avg	avg	PROPN
cana-1241	221	22	precision	precision	PROPN
cana-1241	221	23	,	,	PUNCT
cana-1241	221	24	recall	recall	NOUN
cana-1241	221	25	,	,	PUNCT
cana-1241	221	26	and	and	CCONJ
cana-1241	221	27	f1	f1	NOUN
cana-1241	221	28	-	-	PUNCT
cana-1241	221	29	score	score	NOUN
cana-1241	221	30	.	.	PUNCT
cana-1241	222	1	conclusion	conclusion	VERB
cana-1241	222	2	the	the	DET
cana-1241	222	3	main	main	ADJ
cana-1241	222	4	objective	objective	NOUN
cana-1241	222	5	of	of	ADP
cana-1241	222	6	this	this	DET
cana-1241	222	7	research	research	NOUN
cana-1241	222	8	is	be	AUX
cana-1241	222	9	to	to	PART
cana-1241	222	10	analyse	analyse	VERB
cana-1241	222	11	the	the	DET
cana-1241	222	12	precise	precise	ADJ
cana-1241	222	13	diagnosis	diagnosis	NOUN
cana-1241	222	14	of	of	ADP
cana-1241	222	15	ckd	ckd	PROPN
cana-1241	222	16	and	and	CCONJ
cana-1241	222	17	to	to	PART
cana-1241	222	18	determine	determine	VERB
cana-1241	222	19	the	the	DET
cana-1241	222	20	likelihood	likelihood	NOUN
cana-1241	222	21	of	of	ADP
cana-1241	222	22	ckd	ckd	PROPN
cana-1241	222	23	that	that	PRON
cana-1241	222	24	may	may	AUX
cana-1241	222	25	be	be	AUX
cana-1241	222	26	justified	justify	VERB
cana-1241	222	27	by	by	ADP
cana-1241	222	28	utilizing	utilize	VERB
cana-1241	222	29	egfr	egfr	NOUN
cana-1241	222	30	and	and	CCONJ
cana-1241	222	31	bcr	bcr	NOUN
cana-1241	222	32	to	to	PART
cana-1241	222	33	identify	identify	VERB
cana-1241	222	34	and	and	CCONJ
cana-1241	222	35	evaluate	evaluate	VERB
cana-1241	222	36	the	the	DET
cana-1241	222	37	degree	degree	NOUN
cana-1241	222	38	of	of	ADP
cana-1241	222	39	kidney	kidney	NOUN
cana-1241	222	40	disease	disease	NOUN
cana-1241	222	41	before	before	ADP
cana-1241	222	42	beginning	begin	VERB
cana-1241	222	43	therapy	therapy	NOUN
cana-1241	222	44	.	.	PUNCT
cana-1241	223	1	determining	determine	VERB
cana-1241	223	2	the	the	DET
cana-1241	223	3	risk	risk	NOUN
cana-1241	223	4	of	of	ADP
cana-1241	223	5	ckd	ckd	PROPN
cana-1241	223	6	with	with	ADP
cana-1241	223	7	normal	normal	ADJ
cana-1241	223	8	,	,	PUNCT
cana-1241	223	9	pre	pre	ADJ
cana-1241	223	10	-	-	ADJ
cana-1241	223	11	renal	renal	ADJ
cana-1241	223	12	,	,	PUNCT
cana-1241	223	13	or	or	CCONJ
cana-1241	223	14	intrinsic	intrinsic	ADJ
cana-1241	223	15	renal	renal	ADJ
cana-1241	223	16	stages	stage	NOUN
cana-1241	223	17	is	be	AUX
cana-1241	223	18	necessary	necessary	ADJ
cana-1241	223	19	to	to	PART
cana-1241	223	20	define	define	VERB
cana-1241	223	21	the	the	DET
cana-1241	223	22	stage	stage	NOUN
cana-1241	223	23	of	of	ADP
cana-1241	223	24	ckd	ckd	PROPN
cana-1241	223	25	,	,	PUNCT
cana-1241	223	26	comprehend	comprehend	VERB
cana-1241	223	27	its	its	PRON
cana-1241	223	28	severity	severity	NOUN
cana-1241	223	29	,	,	PUNCT
cana-1241	223	30	and	and	CCONJ
cana-1241	223	31	identify	identify	VERB
cana-1241	223	32	patients	patient	NOUN
cana-1241	223	33	who	who	PRON
cana-1241	223	34	are	be	AUX
cana-1241	223	35	in	in	ADP
cana-1241	223	36	an	an	DET
cana-1241	223	37	early	early	ADJ
cana-1241	223	38	stage	stage	NOUN
cana-1241	223	39	of	of	ADP
cana-1241	223	40	the	the	DET
cana-1241	223	41	disease	disease	NOUN
cana-1241	223	42	using	use	VERB
cana-1241	223	43	egfr	egfr	NOUN
cana-1241	223	44	and	and	CCONJ
cana-1241	223	45	bcr	bcr	NOUN
cana-1241	223	46	.	.	PUNCT
cana-1241	224	1	the	the	DET
cana-1241	224	2	proposed	propose	VERB
cana-1241	224	3	bfs	bfs	PROPN
cana-1241	224	4	-	-	PUNCT
cana-1241	224	5	erfc	erfc	NOUN
cana-1241	224	6	model	model	NOUN
cana-1241	224	7	has	have	AUX
cana-1241	224	8	been	be	AUX
cana-1241	224	9	introduced	introduce	VERB
cana-1241	224	10	in	in	ADP
cana-1241	224	11	this	this	DET
cana-1241	224	12	research	research	NOUN
cana-1241	224	13	to	to	PART
cana-1241	224	14	increase	increase	VERB
cana-1241	224	15	classification	classification	NOUN
cana-1241	224	16	accuracy	accuracy	NOUN
cana-1241	224	17	and	and	CCONJ
cana-1241	224	18	facilitate	facilitate	VERB
cana-1241	224	19	efficient	efficient	ADJ
cana-1241	224	20	ckd	ckd	NOUN
cana-1241	224	21	diagnosis	diagnosis	NOUN
cana-1241	224	22	.	.	PUNCT
cana-1241	225	1	as	as	ADP
cana-1241	225	2	a	a	DET
cana-1241	225	3	result	result	NOUN
cana-1241	225	4	,	,	PUNCT
cana-1241	225	5	the	the	DET
cana-1241	225	6	suggested	suggest	VERB
cana-1241	225	7	boruta	boruta	NOUN
cana-1241	225	8	algorithm	algorithm	PROPN
cana-1241	225	9	has	have	VERB
cana-1241	225	10	the	the	DET
cana-1241	225	11	advantage	advantage	NOUN
cana-1241	225	12	of	of	ADP
cana-1241	225	13	being	be	AUX
cana-1241	225	14	an	an	DET
cana-1241	225	15	easy	easy	ADJ
cana-1241	225	16	-	-	PUNCT
cana-1241	225	17	to	to	ADP
cana-1241	225	18	-	-	PUNCT
cana-1241	225	19	use	use	VERB
cana-1241	225	20	and	and	CCONJ
cana-1241	225	21	effective	effective	ADJ
cana-1241	225	22	method	method	NOUN
cana-1241	225	23	that	that	PRON
cana-1241	225	24	they	they	PRON
cana-1241	225	25	should	should	AUX
cana-1241	225	26	integrate	integrate	VERB
cana-1241	225	27	into	into	ADP
cana-1241	225	28	their	their	PRON
cana-1241	225	29	pipeline	pipeline	NOUN
cana-1241	225	30	.	.	PUNCT
cana-1241	226	1	the	the	DET
cana-1241	226	2	study	study	NOUN
cana-1241	226	3	has	have	AUX
cana-1241	226	4	improved	improve	VERB
cana-1241	226	5	the	the	DET
cana-1241	226	6	accuracy	accuracy	NOUN
cana-1241	226	7	of	of	ADP
cana-1241	226	8	ckd	ckd	PROPN
cana-1241	226	9	status	status	NOUN
cana-1241	226	10	classification	classification	NOUN
cana-1241	226	11	by	by	ADP
cana-1241	226	12	identifying	identify	VERB
cana-1241	226	13	and	and	CCONJ
cana-1241	226	14	detecting	detect	VERB
cana-1241	226	15	the	the	DET
cana-1241	226	16	accuracy	accuracy	NOUN
cana-1241	226	17	of	of	ADP
cana-1241	226	18	these	these	DET
cana-1241	226	19	bfs	bfs	NOUN
cana-1241	226	20	-	-	PUNCT
cana-1241	226	21	erfc	erfc	NOUN
cana-1241	226	22	models	model	NOUN
cana-1241	226	23	using	use	VERB
cana-1241	226	24	a	a	DET
cana-1241	226	25	kidney	kidney	NOUN
cana-1241	226	26	disease	disease	NOUN
cana-1241	226	27	dataset	dataset	NOUN
cana-1241	226	28	.	.	PUNCT
cana-1241	227	1	based	base	VERB
cana-1241	227	2	on	on	ADP
cana-1241	227	3	bcr	bcr	PROPN
cana-1241	227	4	and	and	CCONJ
cana-1241	227	5	egfr	egfr	ADJ
cana-1241	227	6	scores	score	NOUN
cana-1241	227	7	,	,	PUNCT
cana-1241	227	8	the	the	DET
cana-1241	227	9	suggested	suggest	VERB
cana-1241	227	10	boruta	boruta	NOUN
cana-1241	227	11	algorithm	algorithm	NOUN
cana-1241	227	12	with	with	ADP
cana-1241	227	13	random	random	ADJ
cana-1241	227	14	forest	forest	NOUN
cana-1241	227	15	classifier	classifier	NOUN
cana-1241	227	16	has	have	AUX
cana-1241	227	17	been	be	AUX
cana-1241	227	18	able	able	ADJ
cana-1241	227	19	to	to	PART
cana-1241	227	20	define	define	VERB
cana-1241	227	21	the	the	DET
cana-1241	227	22	status	status	NOUN
cana-1241	227	23	of	of	ADP
cana-1241	227	24	ckd	ckd	PROPN
cana-1241	227	25	with	with	ADP
cana-1241	227	26	a	a	DET
cana-1241	227	27	high	high	ADJ
cana-1241	227	28	degree	degree	NOUN
cana-1241	227	29	communications	communication	NOUN
cana-1241	227	30	on	on	ADP
cana-1241	227	31	applied	apply	VERB
cana-1241	227	32	nonlinear	nonlinear	ADJ
cana-1241	227	33	analysis	analysis	NOUN
cana-1241	227	34	issn	issn	NOUN
cana-1241	227	35	:	:	PUNCT
cana-1241	227	36	1074	1074	NUM
cana-1241	227	37	-	-	PUNCT
cana-1241	227	38	133x	133x	NUM
cana-1241	227	39	vol	vol	NOUN
cana-1241	227	40	31	31	NUM
cana-1241	227	41	no	no	NOUN
cana-1241	227	42	.	.	PUNCT
cana-1241	228	1	6s	6s	NUM
cana-1241	228	2	(	(	PUNCT
cana-1241	228	3	2024	2024	NUM
cana-1241	228	4	)	)	PUNCT
cana-1241	228	5	536	536	NUM
cana-1241	228	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	228	7	of	of	ADP
cana-1241	228	8	accuracy—92.38	accuracy—92.38	NUM
cana-1241	228	9	%	%	NOUN
cana-1241	228	10	.	.	PUNCT
cana-1241	229	1	additionally	additionally	ADV
cana-1241	229	2	,	,	PUNCT
cana-1241	229	3	help	help	VERB
cana-1241	229	4	define	define	VERB
cana-1241	229	5	the	the	DET
cana-1241	229	6	degree	degree	NOUN
cana-1241	229	7	of	of	ADP
cana-1241	229	8	ckd	ckd	PROPN
cana-1241	229	9	severity	severity	NOUN
cana-1241	229	10	so	so	SCONJ
cana-1241	229	11	that	that	SCONJ
cana-1241	229	12	decisions	decision	NOUN
cana-1241	229	13	about	about	ADP
cana-1241	229	14	the	the	DET
cana-1241	229	15	appropriateness	appropriateness	NOUN
cana-1241	229	16	of	of	ADP
cana-1241	229	17	treatment	treatment	NOUN
cana-1241	229	18	can	can	AUX
cana-1241	229	19	be	be	AUX
cana-1241	229	20	made	make	VERB
cana-1241	229	21	.	.	PUNCT
cana-1241	230	1	reference	reference	NOUN
cana-1241	230	2	[	[	X
cana-1241	230	3	1	1	X
cana-1241	230	4	]	]	PUNCT
cana-1241	230	5	k.	k.	PROPN
cana-1241	230	6	b.	b.	PROPN
cana-1241	230	7	naidu	naidu	PROPN
cana-1241	230	8	,	,	PUNCT
cana-1241	230	9	b.	b.	PROPN
cana-1241	230	10	r.	r.	PROPN
cana-1241	230	11	prasad	prasad	PROPN
cana-1241	230	12	,	,	PUNCT
cana-1241	230	13	s.	s.	PROPN
cana-1241	230	14	m.	m.	PROPN
cana-1241	230	15	hassen	hassen	PROPN
cana-1241	230	16	,	,	PUNCT
cana-1241	230	17	et	et	PROPN
cana-1241	230	18	al	al	PROPN
cana-1241	230	19	.	.	PROPN
cana-1241	230	20	,	,	PUNCT
cana-1241	230	21	“	"	PUNCT
cana-1241	230	22	analysis	analysis	NOUN
cana-1241	230	23	of	of	ADP
cana-1241	230	24	hadoop	hadoop	NOUN
cana-1241	230	25	log	log	NOUN
cana-1241	230	26	file	file	NOUN
cana-1241	230	27	in	in	ADP
cana-1241	230	28	an	an	DET
cana-1241	230	29	environment	environment	NOUN
cana-1241	230	30	for	for	ADP
cana-1241	230	31	dynamic	dynamic	ADJ
cana-1241	230	32	detection	detection	NOUN
cana-1241	230	33	of	of	ADP
cana-1241	230	34	threats	threat	NOUN
cana-1241	230	35	using	use	VERB
cana-1241	230	36	machine	machine	NOUN
cana-1241	230	37	learning	learning	NOUN
cana-1241	230	38	,	,	PUNCT
cana-1241	230	39	”	"	PUNCT
cana-1241	230	40	elsevier	elsevier	PROPN
cana-1241	230	41	measurement	measurement	NOUN
cana-1241	230	42	:	:	PUNCT
cana-1241	230	43	sensors	sensor	NOUN
cana-1241	230	44	,	,	PUNCT
cana-1241	230	45	vol	vol	NOUN
cana-1241	230	46	.	.	PROPN
cana-1241	230	47	24	24	NUM
cana-1241	230	48	,	,	PUNCT
cana-1241	230	49	pp	pp	ADJ
cana-1241	230	50	.	.	PUNCT
cana-1241	231	1	1–5	1–5	NUM
cana-1241	231	2	,	,	PUNCT
cana-1241	231	3	2022	2022	NUM
cana-1241	231	4	.	.	PUNCT
cana-1241	232	1	[	[	X
cana-1241	232	2	2	2	X
cana-1241	232	3	]	]	X
cana-1241	232	4	u.	u.	NOUN
cana-1241	232	5	ekanayake	ekanayake	PROPN
cana-1241	232	6	and	and	CCONJ
cana-1241	232	7	d.	d.	PROPN
cana-1241	232	8	herath	herath	PROPN
cana-1241	232	9	,	,	PUNCT
cana-1241	232	10	“	"	PUNCT
cana-1241	232	11	chronic	chronic	ADJ
cana-1241	232	12	kidney	kidney	NOUN
cana-1241	232	13	disease	disease	NOUN
cana-1241	232	14	prediction	prediction	NOUN
cana-1241	232	15	using	use	VERB
cana-1241	232	16	machine	machine	NOUN
cana-1241	232	17	learning	learning	NOUN
cana-1241	232	18	methods	method	NOUN
cana-1241	232	19	,	,	PUNCT
cana-1241	232	20	”	"	PUNCT
cana-1241	232	21	in	in	ADP
cana-1241	232	22	proc	proc	NOUN
cana-1241	232	23	.	.	PUNCT
cana-1241	233	1	2020	2020	NUM
cana-1241	233	2	moratuwa	moratuwa	ADJ
cana-1241	233	3	engineering	engineering	PROPN
cana-1241	233	4	research	research	NOUN
cana-1241	233	5	conference	conference	NOUN
cana-1241	233	6	(	(	PUNCT
cana-1241	233	7	mercon	mercon	PROPN
cana-1241	233	8	)	)	PUNCT
cana-1241	233	9	,	,	PUNCT
cana-1241	233	10	2020	2020	NUM
cana-1241	233	11	,	,	PUNCT
cana-1241	233	12	pp	pp	ADV
cana-1241	233	13	.	.	PUNCT
cana-1241	234	1	260–265	260–265	NUM
cana-1241	234	2	.	.	PUNCT
cana-1241	235	1	[	[	X
cana-1241	235	2	3	3	NUM
cana-1241	235	3	]	]	PUNCT
cana-1241	235	4	mortazavi	mortazavi	NOUN
cana-1241	235	5	,	,	PUNCT
cana-1241	235	6	b.	b.	PROPN
cana-1241	235	7	j.	j.	PROPN
cana-1241	235	8	et	et	PROPN
cana-1241	235	9	al	al	PROPN
cana-1241	235	10	.	.	PROPN
cana-1241	236	1	analysis	analysis	NOUN
cana-1241	236	2	of	of	ADP
cana-1241	236	3	machine	machine	NOUN
cana-1241	236	4	learning	learn	VERB
cana-1241	236	5	techniques	technique	NOUN
cana-1241	236	6	for	for	ADP
cana-1241	236	7	heart	heart	NOUN
cana-1241	236	8	failure	failure	NOUN
cana-1241	236	9	readmissions	readmission	NOUN
cana-1241	236	10	.	.	PUNCT
cana-1241	237	1	circ	circ	PROPN
cana-1241	237	2	.	.	PUNCT
cana-1241	238	1	cardiovasc	cardiovasc	PROPN
cana-1241	238	2	.	.	PUNCT
cana-1241	239	1	qual	qual	PROPN
cana-1241	239	2	.	.	PUNCT
cana-1241	240	1	outcomes	outcome	NOUN
cana-1241	240	2	9	9	NUM
cana-1241	240	3	,	,	PUNCT
cana-1241	240	4	629–640	629–640	NUM
cana-1241	240	5	.	.	PUNCT
cana-1241	241	1	https://doi.org/10.1161/circoutcomes.116.003039	https://doi.org/10.1161/circoutcomes.116.003039	NOUN
cana-1241	241	2	(	(	PUNCT
cana-1241	241	3	2016	2016	NUM
cana-1241	241	4	)	)	PUNCT
cana-1241	241	5	.	.	PUNCT
cana-1241	242	1	[	[	X
cana-1241	242	2	4	4	NUM
cana-1241	242	3	]	]	X
cana-1241	242	4	weng	weng	PROPN
cana-1241	242	5	,	,	PUNCT
cana-1241	242	6	s.	s.	PROPN
cana-1241	242	7	f.	f.	PROPN
cana-1241	242	8	,	,	PUNCT
cana-1241	242	9	reps	rep	VERB
cana-1241	242	10	,	,	PUNCT
cana-1241	242	11	j.	j.	PROPN
cana-1241	242	12	,	,	PUNCT
cana-1241	242	13	kai	kai	PROPN
cana-1241	242	14	,	,	PUNCT
cana-1241	242	15	j.	j.	PROPN
cana-1241	242	16	,	,	PUNCT
cana-1241	242	17	garibaldi	garibaldi	PROPN
cana-1241	242	18	,	,	PUNCT
cana-1241	242	19	j.	j.	PROPN
cana-1241	242	20	m.	m.	PROPN
cana-1241	242	21	&	&	CCONJ
cana-1241	242	22	qureshi	qureshi	PROPN
cana-1241	242	23	,	,	PUNCT
cana-1241	242	24	n.	n.	PROPN
cana-1241	242	25	can	can	AUX
cana-1241	242	26	machine	machine	NOUN
cana-1241	242	27	-	-	PUNCT
cana-1241	242	28	learning	learning	NOUN
cana-1241	242	29	improve	improve	VERB
cana-1241	242	30	cardiovascular	cardiovascular	ADJ
cana-1241	242	31	risk	risk	NOUN
cana-1241	242	32	prediction	prediction	NOUN
cana-1241	242	33	using	use	VERB
cana-1241	242	34	routine	routine	ADJ
cana-1241	242	35	clinical	clinical	ADJ
cana-1241	242	36	data	datum	NOUN
cana-1241	242	37	?	?	PUNCT
cana-1241	242	38	.	.	PUNCT
cana-1241	243	1	plos	plos	PROPN
cana-1241	243	2	one	one	NUM
cana-1241	243	3	12	12	NUM
cana-1241	243	4	,	,	PUNCT
cana-1241	243	5	e0174944	e0174944	X
cana-1241	243	6	.	.	PUNCT
cana-1241	244	1	https://doi.org/10.1371/journal.pone.0174944	https://doi.org/10.1371/journal.pone.0174944	PROPN
cana-1241	244	2	(	(	PUNCT
cana-1241	244	3	2017	2017	NUM
cana-1241	244	4	)	)	PUNCT
cana-1241	244	5	.	.	PUNCT
cana-1241	245	1	[	[	X
cana-1241	245	2	5	5	NUM
cana-1241	245	3	]	]	X
cana-1241	245	4	hsu	hsu	PROPN
cana-1241	245	5	,	,	PUNCT
cana-1241	245	6	h.h	h.h	PROPN
cana-1241	245	7	.	.	PROPN
cana-1241	245	8	,	,	PUNCT
cana-1241	245	9	hsieh	hsieh	PROPN
cana-1241	245	10	,	,	PUNCT
cana-1241	245	11	c.w	c.w	PROPN
cana-1241	245	12	.	.	PROPN
cana-1241	245	13	,	,	PUNCT
cana-1241	245	14	lu	lu	PROPN
cana-1241	245	15	,	,	PUNCT
cana-1241	245	16	m.d	m.d	PROPN
cana-1241	245	17	.	.	PROPN
cana-1241	245	18	:	:	PUNCT
cana-1241	245	19	hybrid	hybrid	ADJ
cana-1241	245	20	feature	feature	NOUN
cana-1241	245	21	selection	selection	NOUN
cana-1241	245	22	by	by	ADP
cana-1241	245	23	combining	combine	VERB
cana-1241	245	24	filters	filter	NOUN
cana-1241	245	25	and	and	CCONJ
cana-1241	245	26	wrappers	wrapper	NOUN
cana-1241	245	27	.	.	PUNCT
cana-1241	246	1	expert	expert	NOUN
cana-1241	246	2	syst	syst	PROPN
cana-1241	246	3	.	.	PUNCT
cana-1241	246	4	appl	appl	PROPN
cana-1241	246	5	.	.	PUNCT
cana-1241	247	1	38(7	38(7	NUM
cana-1241	247	2	)	)	PUNCT
cana-1241	248	1	,	,	PUNCT
cana-1241	248	2	8144–8150	8144–8150	NOUN
cana-1241	248	3	(	(	PUNCT
cana-1241	248	4	2011	2011	NUM
cana-1241	248	5	)	)	PUNCT
cana-1241	249	1	[	[	X
cana-1241	249	2	6	6	NUM
cana-1241	249	3	]	]	X
cana-1241	249	4	shahinda	shahinda	PROPN
cana-1241	249	5	mohamed	mohamed	PROPN
cana-1241	249	6	mostafa	mostafa	PROPN
cana-1241	249	7	elkholy	elkholy	PROPN
cana-1241	249	8	,	,	PUNCT
cana-1241	249	9	amira	amira	PROPN
cana-1241	249	10	rezk	rezk	PROPN
cana-1241	249	11	,	,	PUNCT
cana-1241	249	12	and	and	CCONJ
cana-1241	249	13	ahmed	ahmed	PROPN
cana-1241	249	14	abo	abo	PROPN
cana-1241	249	15	el	el	PROPN
cana-1241	249	16	fetoh	fetoh	ADJ
cana-1241	249	17	saleh	saleh	NOUN
cana-1241	249	18	,	,	PUNCT
cana-1241	249	19	“	"	PUNCT
cana-1241	249	20	early	early	ADJ
cana-1241	249	21	prediction	prediction	NOUN
cana-1241	249	22	of	of	ADP
cana-1241	249	23	chronic	chronic	ADJ
cana-1241	249	24	kidney	kidney	NOUN
cana-1241	249	25	disease	disease	NOUN
cana-1241	249	26	using	use	VERB
cana-1241	249	27	deep	deep	ADJ
cana-1241	249	28	belief	belief	NOUN
cana-1241	249	29	network	network	NOUN
cana-1241	249	30	”	"	PUNCT
cana-1241	249	31	volume	volume	NOUN
cana-1241	249	32	9,2021	9,2021	NUM
cana-1241	249	33	,	,	PUNCT
cana-1241	249	34	digital	digital	ADJ
cana-1241	249	35	object	object	NOUN
cana-1241	249	36	identifier	identifier	NOUN
cana-1241	249	37	10.1109	10.1109	NUM
cana-1241	249	38	/	/	SYM
cana-1241	249	39	access.2021.3114306	access.2021.3114306	NOUN
cana-1241	249	40	.	.	PUNCT
cana-1241	250	1	[	[	X
cana-1241	250	2	7	7	NUM
cana-1241	250	3	]	]	X
cana-1241	250	4	poonia	poonia	PROPN
cana-1241	250	5	rc	rc	PROPN
cana-1241	250	6	,	,	PUNCT
cana-1241	250	7	et	et	PROPN
cana-1241	250	8	al	al	PROPN
cana-1241	250	9	.	.	PUNCT
cana-1241	250	10	intelligent	intelligent	ADJ
cana-1241	250	11	diagnostic	diagnostic	ADJ
cana-1241	250	12	prediction	prediction	NOUN
cana-1241	250	13	and	and	CCONJ
cana-1241	250	14	classification	classification	NOUN
cana-1241	250	15	models	model	NOUN
cana-1241	250	16	for	for	ADP
cana-1241	250	17	detection	detection	NOUN
cana-1241	250	18	of	of	ADP
cana-1241	250	19	kidney	kidney	NOUN
cana-1241	250	20	disease	disease	NOUN
cana-1241	250	21	.	.	PUNCT
cana-1241	251	1	healthcare	healthcare	PROPN
cana-1241	251	2	.	.	PUNCT
cana-1241	252	1	2022	2022	NUM
cana-1241	252	2	;	;	PUNCT
cana-1241	252	3	10:2	10:2	NUM
cana-1241	252	4	.	.	PUNCT
cana-1241	253	1	[	[	X
cana-1241	253	2	8	8	NUM
cana-1241	253	3	]	]	X
cana-1241	253	4	swain	swain	PROPN
cana-1241	253	5	,	,	PUNCT
cana-1241	253	6	d.	d.	PROPN
cana-1241	253	7	;	;	PUNCT
cana-1241	253	8	mehta	mehta	PROPN
cana-1241	253	9	,	,	PUNCT
cana-1241	253	10	u.	u.	PROPN
cana-1241	253	11	;	;	PUNCT
cana-1241	253	12	bhatt	bhatt	PROPN
cana-1241	253	13	,	,	PUNCT
cana-1241	253	14	a.	a.	NOUN
cana-1241	253	15	;	;	PUNCT
cana-1241	253	16	patel	patel	PROPN
cana-1241	253	17	,	,	PUNCT
cana-1241	253	18	h.	h.	PROPN
cana-1241	253	19	;	;	PUNCT
cana-1241	253	20	patel	patel	PROPN
cana-1241	253	21	,	,	PUNCT
cana-1241	253	22	k.	k.	PROPN
cana-1241	253	23	;	;	PUNCT
cana-1241	253	24	mehta	mehta	PROPN
cana-1241	253	25	,	,	PUNCT
cana-1241	253	26	d.	d.	PROPN
cana-1241	253	27	;	;	PUNCT
cana-1241	253	28	acharya	acharya	PROPN
cana-1241	253	29	,	,	PUNCT
cana-1241	253	30	b.	b.	PROPN
cana-1241	253	31	;	;	PUNCT
cana-1241	253	32	gerogiannis	gerogiannis	PROPN
cana-1241	253	33	,	,	PUNCT
cana-1241	253	34	v.c	v.c	PROPN
cana-1241	253	35	.	.	PROPN
cana-1241	253	36	;	;	PUNCT
cana-1241	253	37	kanavos	kanavos	PROPN
cana-1241	253	38	,	,	PUNCT
cana-1241	253	39	a.	a.	NOUN
cana-1241	253	40	;	;	PUNCT
cana-1241	253	41	manika	manika	PROPN
cana-1241	253	42	,	,	PUNCT
cana-1241	253	43	s.	s.	PROPN
cana-1241	253	44	a	a	DET
cana-1241	253	45	robust	robust	ADJ
cana-1241	253	46	chronic	chronic	ADJ
cana-1241	253	47	kidney	kidney	NOUN
cana-1241	253	48	disease	disease	NOUN
cana-1241	253	49	classifier	classifier	NOUN
cana-1241	253	50	using	use	VERB
cana-1241	253	51	machine	machine	NOUN
cana-1241	253	52	learning	learning	NOUN
cana-1241	253	53	.	.	PUNCT
cana-1241	254	1	electronics	electronic	NOUN
cana-1241	254	2	2023	2023	NUM
cana-1241	254	3	,	,	PUNCT
cana-1241	254	4	12	12	NUM
cana-1241	254	5	,	,	PUNCT
cana-1241	254	6	212	212	NUM
cana-1241	254	7	.	.	PUNCT
cana-1241	255	1	[	[	X
cana-1241	255	2	9	9	NUM
cana-1241	255	3	]	]	SYM
cana-1241	255	4	ullah	ullah	PROPN
cana-1241	255	5	,	,	PUNCT
cana-1241	255	6	z.	z.	PROPN
cana-1241	255	7	;	;	PUNCT
cana-1241	255	8	jamjoom	jamjoom	PROPN
cana-1241	255	9	,	,	PUNCT
cana-1241	255	10	m.	m.	NOUN
cana-1241	255	11	early	early	ADJ
cana-1241	255	12	detection	detection	NOUN
cana-1241	255	13	and	and	CCONJ
cana-1241	255	14	diagnosis	diagnosis	NOUN
cana-1241	255	15	of	of	ADP
cana-1241	255	16	chronic	chronic	ADJ
cana-1241	255	17	kidney	kidney	NOUN
cana-1241	255	18	disease	disease	NOUN
cana-1241	255	19	based	base	VERB
cana-1241	255	20	on	on	ADP
cana-1241	255	21	selected	select	VERB
cana-1241	255	22	predominant	predominant	ADJ
cana-1241	255	23	features	feature	NOUN
cana-1241	255	24	.	.	PUNCT
cana-1241	256	1	j.	j.	PROPN
cana-1241	256	2	healthc	healthc	PROPN
cana-1241	256	3	.	.	PUNCT
cana-1241	257	1	eng	eng	PROPN
cana-1241	257	2	.	.	PROPN
cana-1241	257	3	2023	2023	NUM
cana-1241	257	4	,	,	PUNCT
cana-1241	257	5	2023	2023	NUM
cana-1241	257	6	,	,	PUNCT
cana-1241	257	7	3553216	3553216	NUM
cana-1241	257	8	.	.	PUNCT
cana-1241	258	1	[	[	X
cana-1241	258	2	10	10	NUM
cana-1241	258	3	]	]	X
cana-1241	258	4	farjana	farjana	PROPN
cana-1241	258	5	,	,	PUNCT
cana-1241	258	6	a.	a.	NOUN
cana-1241	258	7	;	;	PUNCT
cana-1241	258	8	liza	liza	PROPN
cana-1241	258	9	,	,	PUNCT
cana-1241	258	10	f.t	f.t	PROPN
cana-1241	258	11	.	.	PUNCT
cana-1241	258	12	;	;	PUNCT
cana-1241	258	13	pandit	pandit	PROPN
cana-1241	258	14	,	,	PUNCT
cana-1241	258	15	p.p	p.p	PROPN
cana-1241	258	16	.	.	PROPN
cana-1241	258	17	;	;	PUNCT
cana-1241	258	18	das	das	PROPN
cana-1241	258	19	,	,	PUNCT
cana-1241	258	20	m.c	m.c	PROPN
cana-1241	258	21	.	.	PROPN
cana-1241	258	22	;	;	PUNCT
cana-1241	258	23	hasan	hasan	PROPN
cana-1241	258	24	,	,	PUNCT
cana-1241	258	25	m.	m.	NOUN
cana-1241	258	26	;	;	PUNCT
cana-1241	258	27	tabassum	tabassum	NOUN
cana-1241	258	28	,	,	PUNCT
cana-1241	258	29	f.	f.	PROPN
cana-1241	258	30	;	;	PUNCT
cana-1241	258	31	hossen	hossen	PROPN
cana-1241	258	32	,	,	PUNCT
cana-1241	258	33	m.h	m.h	PROPN
cana-1241	258	34	.	.	PROPN
cana-1241	258	35	predicting	predict	VERB
cana-1241	258	36	chronic	chronic	ADJ
cana-1241	258	37	kidney	kidney	NOUN
cana-1241	258	38	disease	disease	NOUN
cana-1241	258	39	using	use	VERB
cana-1241	258	40	machine	machine	NOUN
cana-1241	258	41	learning	learning	NOUN
cana-1241	258	42	algorithms	algorithm	NOUN
cana-1241	258	43	.	.	PUNCT
cana-1241	259	1	in	in	ADP
cana-1241	259	2	proceedings	proceeding	NOUN
cana-1241	259	3	of	of	ADP
cana-1241	259	4	the	the	DET
cana-1241	259	5	2023	2023	NUM
cana-1241	259	6	ieee	ieee	NOUN
cana-1241	259	7	13th	13th	NOUN
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cana-1241	259	9	computing	computing	NOUN
cana-1241	259	10	and	and	CCONJ
cana-1241	259	11	communication	communication	NOUN
cana-1241	259	12	workshop	workshop	NOUN
cana-1241	259	13	and	and	CCONJ
cana-1241	259	14	conference	conference	NOUN
cana-1241	259	15	,	,	PUNCT
cana-1241	259	16	las	las	PROPN
cana-1241	259	17	vegas	vegas	PROPN
cana-1241	259	18	,	,	PUNCT
cana-1241	259	19	nv	nv	PROPN
cana-1241	259	20	,	,	PUNCT
cana-1241	259	21	usa	usa	PROPN
cana-1241	259	22	,	,	PUNCT
cana-1241	259	23	8–11	8–11	PROPN
cana-1241	259	24	march	march	PROPN
cana-1241	259	25	2023	2023	NUM
cana-1241	259	26	;	;	PUNCT
cana-1241	259	27	pp	pp	PROPN
cana-1241	259	28	.	.	PUNCT
cana-1241	259	29	1267–1271	1267–1271	NUM
cana-1241	259	30	.	.	PUNCT
cana-1241	260	1	[	[	X
cana-1241	260	2	11	11	NUM
cana-1241	260	3	]	]	X
cana-1241	260	4	islam	islam	PROPN
cana-1241	260	5	,	,	PUNCT
cana-1241	260	6	m.a	m.a	PROPN
cana-1241	260	7	.	.	PROPN
cana-1241	260	8	;	;	PUNCT
cana-1241	260	9	majumder	majumder	NOUN
cana-1241	260	10	,	,	PUNCT
cana-1241	260	11	m.z.h	m.z.h	NOUN
cana-1241	260	12	.	.	PUNCT
cana-1241	260	13	;	;	PUNCT
cana-1241	260	14	hussein	hussein	PROPN
cana-1241	260	15	,	,	PUNCT
cana-1241	260	16	m.a	m.a	PROPN
cana-1241	260	17	.	.	PROPN
cana-1241	260	18	chronic	chronic	ADJ
cana-1241	260	19	kidney	kidney	NOUN
cana-1241	260	20	disease	disease	NOUN
cana-1241	260	21	prediction	prediction	NOUN
cana-1241	260	22	based	base	VERB
cana-1241	260	23	on	on	ADP
cana-1241	260	24	machine	machine	NOUN
cana-1241	260	25	learning	learning	NOUN
cana-1241	260	26	algorithms	algorithm	NOUN
cana-1241	260	27	.	.	PUNCT
cana-1241	261	1	j.	j.	PROPN
cana-1241	261	2	pathol	pathol	PROPN
cana-1241	261	3	.	.	PUNCT
cana-1241	262	1	inform	inform	NOUN
cana-1241	262	2	.	.	PUNCT
cana-1241	263	1	2023	2023	NUM
cana-1241	263	2	,	,	PUNCT
cana-1241	263	3	14	14	NUM
cana-1241	263	4	,	,	PUNCT
cana-1241	263	5	100189	100189	NUM
cana-1241	263	6	.	.	PUNCT
cana-1241	264	1	[	[	X
cana-1241	264	2	12	12	NUM
cana-1241	264	3	]	]	X
cana-1241	264	4	hassan	hassan	PROPN
cana-1241	264	5	,	,	PUNCT
cana-1241	264	6	m.m	m.m	PROPN
cana-1241	264	7	.	.	PROPN
cana-1241	264	8	;	;	PUNCT
cana-1241	264	9	hassan	hassan	PROPN
cana-1241	264	10	,	,	PUNCT
cana-1241	264	11	m.m	m.m	PROPN
cana-1241	264	12	.	.	PROPN
cana-1241	264	13	;	;	PUNCT
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cana-1241	264	15	,	,	PUNCT
cana-1241	264	16	s.	s.	PROPN
cana-1241	264	17	;	;	PUNCT
cana-1241	264	18	khan	khan	PROPN
cana-1241	264	19	,	,	PUNCT
cana-1241	264	20	m.a.r	m.a.r	NOUN
cana-1241	264	21	.	.	PUNCT
cana-1241	264	22	;	;	PUNCT
cana-1241	264	23	yasmin	yasmin	PROPN
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cana-1241	264	25	f.	f.	PROPN
cana-1241	264	26	;	;	PUNCT
cana-1241	264	27	bairagi	bairagi	PROPN
cana-1241	264	28	,	,	PUNCT
cana-1241	264	29	a.k	a.k	PROPN
cana-1241	264	30	.	.	PROPN
cana-1241	264	31	;	;	PUNCT
cana-1241	264	32	raihan	raihan	PROPN
cana-1241	264	33	,	,	PUNCT
cana-1241	264	34	m.	m.	NOUN
cana-1241	264	35	;	;	PUNCT
cana-1241	264	36	arif	arif	PROPN
cana-1241	264	37	,	,	PUNCT
cana-1241	264	38	s.a	s.a	PROPN
cana-1241	264	39	.	.	PROPN
cana-1241	264	40	;	;	PUNCT
cana-1241	264	41	rahman	rahman	PROPN
cana-1241	264	42	,	,	PUNCT
cana-1241	264	43	a.	a.	NOUN
cana-1241	264	44	a	a	DET
cana-1241	264	45	comparative	comparative	ADJ
cana-1241	264	46	study	study	NOUN
cana-1241	264	47	,	,	PUNCT
cana-1241	264	48	prediction	prediction	NOUN
cana-1241	264	49	and	and	CCONJ
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cana-1241	264	53	kidney	kidney	NOUN
cana-1241	264	54	disease	disease	NOUN
cana-1241	264	55	using	use	VERB
cana-1241	264	56	machine	machine	NOUN
cana-1241	264	57	learning	learn	VERB
cana-1241	264	58	on	on	ADP
cana-1241	264	59	patients	patient	NOUN
cana-1241	264	60	clinical	clinical	ADJ
cana-1241	264	61	records	record	NOUN
cana-1241	264	62	.	.	PUNCT
cana-1241	265	1	hum	hum	ADJ
cana-1241	265	2	.	.	PUNCT
cana-1241	266	1	-centric	-centric	ADJ
cana-1241	266	2	intell	intell	PROPN
cana-1241	266	3	.	.	PUNCT
cana-1241	267	1	syst	syst	PROPN
cana-1241	267	2	.	.	PUNCT
cana-1241	268	1	2023	2023	NUM
cana-1241	268	2	,	,	PUNCT
cana-1241	268	3	3	3	NUM
cana-1241	268	4	,	,	PUNCT
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cana-1241	268	6	.	.	PUNCT
cana-1241	269	1	[	[	X
cana-1241	269	2	13	13	NUM
cana-1241	269	3	]	]	X
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cana-1241	269	5	,	,	PUNCT
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cana-1241	269	7	;	;	PUNCT
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cana-1241	269	9	,	,	PUNCT
cana-1241	269	10	m.s	m.s	PROPN
cana-1241	269	11	.	.	PROPN
cana-1241	269	12	;	;	PUNCT
cana-1241	269	13	anjum	anjum	PROPN
cana-1241	269	14	,	,	PUNCT
cana-1241	269	15	a.	a.	NOUN
cana-1241	269	16	;	;	PUNCT
cana-1241	269	17	binda	binda	ADV
cana-1241	269	18	,	,	PUNCT
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cana-1241	269	20	.	.	PROPN
cana-1241	269	21	;	;	PUNCT
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cana-1241	269	23	,	,	PUNCT
cana-1241	269	24	m.r	m.r	PROPN
cana-1241	269	25	.	.	PROPN
cana-1241	269	26	;	;	PUNCT
cana-1241	269	27	al	al	PROPN
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cana-1241	269	38	learning	learning	NOUN
cana-1241	269	39	.	.	PUNCT
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cana-1241	271	2	,	,	PUNCT
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cana-1241	272	1	[	[	X
cana-1241	272	2	14	14	NUM
cana-1241	272	3	]	]	X
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cana-1241	273	2	,	,	PUNCT
cana-1241	273	3	chaurasia	chaurasia	PROPN
cana-1241	273	4	s.	s.	PROPN
cana-1241	273	5	,	,	PUNCT
cana-1241	273	6	chakrabarti	chakrabarti	PROPN
cana-1241	273	7	p.	p.	PROPN
cana-1241	273	8	,	,	PUNCT
cana-1241	273	9	et	et	PROPN
cana-1241	273	10	al	al	PROPN
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cana-1241	273	13	of	of	ADP
cana-1241	273	14	chronic	chronic	ADJ
cana-1241	273	15	kidney	kidney	NOUN
cana-1241	273	16	disease	disease	NOUN
cana-1241	273	17	-	-	PUNCT
cana-1241	273	18	a	a	DET
cana-1241	273	19	machine	machine	NOUN
cana-1241	273	20	learning	learn	VERB
cana-1241	273	21	perspective	perspective	NOUN
cana-1241	273	22	.	.	PUNCT
cana-1241	274	1	ieee	ieee	NOUN
cana-1241	274	2	access	access	NOUN
cana-1241	274	3	.	.	PUNCT
cana-1241	275	1	2021	2021	NUM
cana-1241	275	2	;	;	PUNCT
cana-1241	275	3	9:17312–17334	9:17312–17334	NUM
cana-1241	275	4	.	.	PUNCT
cana-1241	276	1	[	[	X
cana-1241	276	2	15	15	NUM
cana-1241	276	3	]	]	X
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cana-1241	276	5	m.	m.	PROPN
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cana-1241	276	9	h.	h.	PROPN
cana-1241	276	10	al	al	PROPN
cana-1241	276	11	-	-	PUNCT
cana-1241	276	12	adhaileh	adhaileh	PROPN
cana-1241	276	13	,	,	PUNCT
cana-1241	276	14	and	and	CCONJ
cana-1241	276	15	f.	f.	PROPN
cana-1241	276	16	w.	w.	PROPN
cana-1241	276	17	alsaade	alsaade	PROPN
cana-1241	276	18	,	,	PUNCT
cana-1241	276	19	“	"	PUNCT
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cana-1241	276	21	of	of	ADP
cana-1241	276	22	chronic	chronic	ADJ
cana-1241	276	23	kidney	kidney	NOUN
cana-1241	276	24	disease	disease	NOUN
cana-1241	276	25	using	use	VERB
cana-1241	276	26	effective	effective	ADJ
cana-1241	276	27	classification	classification	NOUN
cana-1241	276	28	algorithms	algorithm	NOUN
cana-1241	276	29	and	and	CCONJ
cana-1241	276	30	recursive	recursive	ADJ
cana-1241	276	31	feature	feature	NOUN
cana-1241	276	32	elimination	elimination	NOUN
cana-1241	276	33	techniques	technique	NOUN
cana-1241	276	34	,	,	PUNCT
cana-1241	276	35	”	"	PUNCT
cana-1241	276	36	journal	journal	NOUN
cana-1241	276	37	of	of	ADP
cana-1241	276	38	healthcare	healthcare	PROPN
cana-1241	276	39	engineering	engineering	PROPN
cana-1241	276	40	,	,	PUNCT
cana-1241	276	41	volume	volume	NOUN
cana-1241	276	42	2021	2021	NUM
cana-1241	276	43	,	,	PUNCT
cana-1241	276	44	https://doi.org/10.1155/2021/1004767	https://doi.org/10.1155/2021/1004767	PROPN
cana-1241	276	45	.	.	PUNCT
cana-1241	277	1	[	[	X
cana-1241	277	2	16	16	NUM
cana-1241	277	3	]	]	X
cana-1241	277	4	m.	m.	NOUN
cana-1241	277	5	m	m	PROPN
cana-1241	277	6	,	,	PUNCT
cana-1241	277	7	hossain	hossain	PROPN
cana-1241	277	8	,	,	PUNCT
cana-1241	277	9	reshma	reshma	PROPN
cana-1241	277	10	.	.	PUNCT
cana-1241	278	1	a.	a.	PROPN
cana-1241	278	2	swarna	swarna	PROPN
cana-1241	278	3	,	,	PUNCT
cana-1241	278	4	“	"	PUNCT
cana-1241	278	5	analysis	analysis	NOUN
cana-1241	278	6	of	of	ADP
cana-1241	278	7	the	the	DET
cana-1241	278	8	performance	performance	NOUN
cana-1241	278	9	of	of	ADP
cana-1241	278	10	feature	feature	NOUN
cana-1241	278	11	optimization	optimization	NOUN
cana-1241	278	12	techniques	technique	NOUN
cana-1241	278	13	for	for	ADP
cana-1241	278	14	the	the	DET
cana-1241	278	15	diagnosis	diagnosis	NOUN
cana-1241	278	16	of	of	ADP
cana-1241	278	17	machine	machine	NOUN
cana-1241	278	18	learningbased	learningbase	VERB
cana-1241	278	19	chronic	chronic	ADJ
cana-1241	278	20	kidney	kidney	NOUN
cana-1241	278	21	disease	disease	NOUN
cana-1241	278	22	,	,	PUNCT
cana-1241	278	23	”	"	PUNCT
cana-1241	278	24	machine	machine	NOUN
cana-1241	278	25	learning	learn	VERB
cana-1241	278	26	with	with	ADP
cana-1241	278	27	applications	application	NOUN
cana-1241	278	28	,	,	PUNCT
cana-1241	278	29	https://doi.org/10.1016/j.mlwa.2022.100330	https://doi.org/10.1016/j.mlwa.2022.100330	PROPN
cana-1241	278	30	.	.	PUNCT
cana-1241	279	1	https://doi.org/10.1161/circoutcomes.116.003039	https://doi.org/10.1161/circoutcomes.116.003039	NOUN
cana-1241	279	2	https://doi.org/10.1371/journal.pone.0174944	https://doi.org/10.1371/journal.pone.0174944	ADV
cana-1241	279	3	communications	communication	NOUN
cana-1241	279	4	on	on	ADP
cana-1241	279	5	applied	apply	VERB
cana-1241	279	6	nonlinear	nonlinear	ADJ
cana-1241	279	7	analysis	analysis	NOUN
cana-1241	279	8	issn	issn	NOUN
cana-1241	279	9	:	:	PUNCT
cana-1241	279	10	1074	1074	NUM
cana-1241	279	11	-	-	PUNCT
cana-1241	279	12	133x	133x	NUM
cana-1241	279	13	vol	vol	NOUN
cana-1241	279	14	31	31	NUM
cana-1241	279	15	no	no	NOUN
cana-1241	279	16	.	.	PUNCT
cana-1241	280	1	6s	6s	NUM
cana-1241	280	2	(	(	PUNCT
cana-1241	280	3	2024	2024	NUM
cana-1241	280	4	)	)	PUNCT
cana-1241	280	5	537	537	NUM
cana-1241	280	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1241	281	1	[	[	X
cana-1241	281	2	17	17	NUM
cana-1241	281	3	]	]	X
cana-1241	281	4	hosseinzadeh	hosseinzadeh	NOUN
cana-1241	281	5	,	,	PUNCT
cana-1241	281	6	m.	m.	NOUN
cana-1241	281	7	,	,	PUNCT
cana-1241	281	8	koohpayehzadeh	koohpayehzadeh	PROPN
cana-1241	281	9	,	,	PUNCT
cana-1241	281	10	j.	j.	PROPN
cana-1241	281	11	,	,	PUNCT
cana-1241	281	12	bali	bali	PROPN
cana-1241	281	13	,	,	PUNCT
cana-1241	281	14	a.	a.	NOUN
cana-1241	281	15	o.	o.	PROPN
cana-1241	281	16	,	,	PUNCT
cana-1241	281	17	asghari	asghari	ADV
cana-1241	281	18	,	,	PUNCT
cana-1241	281	19	p.	p.	PROPN
cana-1241	281	20	,	,	PUNCT
cana-1241	281	21	souri	souri	PROPN
cana-1241	281	22	,	,	PUNCT
cana-1241	281	23	a.	a.	NOUN
cana-1241	281	24	,	,	PUNCT
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cana-1241	281	26	,	,	PUNCT
cana-1241	281	27	a.	a.	NOUN
cana-1241	281	28	,	,	PUNCT
cana-1241	281	29	and	and	CCONJ
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cana-1241	281	31	,	,	PUNCT
cana-1241	281	32	r.	r.	PROPN
cana-1241	281	33	(	(	PUNCT
cana-1241	281	34	2021	2021	NUM
cana-1241	281	35	)	)	PUNCT
cana-1241	281	36	.	.	PUNCT
cana-1241	282	1	a	a	DET
cana-1241	282	2	diagnostic	diagnostic	ADJ
cana-1241	282	3	prediction	prediction	NOUN
cana-1241	282	4	model	model	NOUN
cana-1241	282	5	for	for	ADP
cana-1241	282	6	chronic	chronic	ADJ
cana-1241	282	7	kidney	kidney	NOUN
cana-1241	282	8	disease	disease	NOUN
cana-1241	282	9	in	in	ADP
cana-1241	282	10	internet	internet	NOUN
cana-1241	282	11	of	of	ADP
cana-1241	282	12	things	thing	NOUN
cana-1241	282	13	platform	platform	NOUN
cana-1241	282	14	.	.	PUNCT
cana-1241	283	1	multimedia	multimedia	NOUN
cana-1241	283	2	tools	tool	NOUN
cana-1241	283	3	and	and	CCONJ
cana-1241	283	4	applications	application	NOUN
cana-1241	283	5	,	,	PUNCT
cana-1241	283	6	80(11),16933	80(11),16933	NUM
cana-1241	283	7	-	-	PUNCT
cana-1241	283	8	16950	16950	NUM
cana-1241	283	9	.	.	PUNCT
cana-1241	284	1	[	[	X
cana-1241	284	2	18	18	NUM
cana-1241	284	3	]	]	X
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cana-1241	284	5	s.	s.	PROPN
cana-1241	284	6	,	,	PUNCT
cana-1241	284	7	ks	ks	PROPN
cana-1241	284	8	k.	k.	PROPN
cana-1241	284	9	,	,	PUNCT
cana-1241	284	10	dovgan	dovgan	PROPN
cana-1241	284	11	e.	e.	PROPN
cana-1241	284	12	,	,	PUNCT
cana-1241	284	13	lustrek	lustrek	PROPN
cana-1241	284	14	m.	m.	NOUN
cana-1241	284	15	,	,	PUNCT
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cana-1241	284	17	b.g	b.g	PROPN
cana-1241	284	18	.	.	PROPN
cana-1241	284	19	,	,	PUNCT
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cana-1241	284	21	k.	k.	PROPN
cana-1241	284	22	,	,	PUNCT
cana-1241	284	23	li	li	PROPN
cana-1241	284	24	y.-c	y.-c	PROPN
cana-1241	284	25	.	.	PUNCT
cana-1241	284	26	,	,	PUNCT
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cana-1241	284	29	,	,	PUNCT
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cana-1241	284	31	-	-	PUNCT
cana-1241	284	32	abdul	abdul	PROPN
cana-1241	284	33	s.	s.	PROPN
cana-1241	284	34	machine	machine	PROPN
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cana-1241	284	36	prediction	prediction	NOUN
cana-1241	284	37	models	model	NOUN
cana-1241	284	38	for	for	ADP
cana-1241	284	39	chronic	chronic	ADJ
cana-1241	284	40	kidney	kidney	NOUN
cana-1241	284	41	disease	disease	NOUN
cana-1241	284	42	using	use	VERB
cana-1241	284	43	national	national	ADJ
cana-1241	284	44	health	health	NOUN
cana-1241	284	45	insurance	insurance	NOUN
cana-1241	284	46	claim	claim	NOUN
cana-1241	284	47	data	datum	NOUN
cana-1241	284	48	in	in	ADP
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cana-1241	284	50	.	.	PUNCT
cana-1241	285	1	healthcare	healthcare	PROPN
cana-1241	285	2	.	.	PUNCT
cana-1241	286	1	2021;9:546	2021;9:546	NUM
cana-1241	286	2	.	.	PUNCT
cana-1241	287	1	doi	doi	NOUN
cana-1241	287	2	:	:	PUNCT
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cana-1241	287	4	/	/	SYM
cana-1241	287	5	healthcare9050546	healthcare9050546	PROPN
cana-1241	287	6	.	.	PUNCT
cana-1241	288	1	[	[	X
cana-1241	288	2	19	19	NUM
cana-1241	288	3	]	]	X
cana-1241	288	4	singh	singh	PROPN
cana-1241	288	5	v.	v.	PROPN
cana-1241	288	6	,	,	PUNCT
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cana-1241	288	8	d.	d.	PROPN
cana-1241	288	9	a	a	DET
cana-1241	288	10	hybrid	hybrid	ADJ
cana-1241	288	11	parallel	parallel	ADJ
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cana-1241	288	13	model	model	NOUN
cana-1241	288	14	for	for	ADP
cana-1241	288	15	the	the	DET
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cana-1241	288	17	of	of	ADP
cana-1241	288	18	chronic	chronic	ADJ
cana-1241	288	19	kidney	kidney	NOUN
cana-1241	288	20	disease	disease	NOUN
cana-1241	288	21	.	.	PUNCT
cana-1241	289	1	int	int	NOUN
cana-1241	289	2	.	.	PUNCT
cana-1241	290	1	j.	j.	PROPN
cana-1241	290	2	interact	interact	PROPN
cana-1241	290	3	.	.	PUNCT
cana-1241	291	1	multimed	multimed	PROPN
cana-1241	291	2	.	.	PUNCT
cana-1241	292	1	artif	artif	INTJ
cana-1241	292	2	.	.	PUNCT
cana-1241	293	1	intell	intell	PROPN
cana-1241	293	2	.	.	PUNCT
cana-1241	294	1	2021	2021	NUM
cana-1241	294	2	doi	doi	NOUN
cana-1241	294	3	:	:	PUNCT
cana-1241	294	4	10.9781	10.9781	NUM
cana-1241	294	5	/	/	SYM
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cana-1241	294	7	.	.	PUNCT
cana-1241	295	1	[	[	X
cana-1241	295	2	20	20	NUM
cana-1241	295	3	]	]	SYM
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cana-1241	295	5	,	,	PUNCT
cana-1241	295	6	g.m	g.m	PROPN
cana-1241	295	7	.	.	PROPN
cana-1241	295	8	;	;	PUNCT
cana-1241	295	9	rashid	rashid	PROPN
cana-1241	295	10	,	,	PUNCT
cana-1241	295	11	m.h	m.h	PROPN
cana-1241	295	12	.	.	PROPN
cana-1241	295	13	;	;	PUNCT
cana-1241	295	14	tazin	tazin	PROPN
cana-1241	295	15	,	,	PUNCT
cana-1241	295	16	t.	t.	PROPN
cana-1241	295	17	;	;	PUNCT
cana-1241	295	18	bourouis	bourouis	PROPN
cana-1241	295	19	,	,	PUNCT
cana-1241	295	20	s.	s.	PROPN
cana-1241	295	21	;	;	PUNCT
cana-1241	295	22	khan	khan	PROPN
cana-1241	295	23	,	,	PUNCT
cana-1241	295	24	m.m	m.m	PROPN
cana-1241	295	25	.	.	PROPN
cana-1241	295	26	comparative	comparative	ADJ
cana-1241	295	27	analysis	analysis	NOUN
cana-1241	295	28	for	for	ADP
cana-1241	295	29	prediction	prediction	NOUN
cana-1241	295	30	of	of	ADP
cana-1241	295	31	kidney	kidney	NOUN
cana-1241	295	32	disease	disease	NOUN
cana-1241	295	33	using	use	VERB
cana-1241	295	34	intelligent	intelligent	ADJ
cana-1241	295	35	machine	machine	NOUN
cana-1241	295	36	learning	learning	NOUN
cana-1241	295	37	methods	method	NOUN
cana-1241	295	38	.	.	PUNCT
cana-1241	296	1	comput	comput	NOUN
cana-1241	296	2	.	.	PUNCT
cana-1241	297	1	math	math	NOUN
cana-1241	297	2	.	.	PUNCT
cana-1241	298	1	methods	method	NOUN
cana-1241	298	2	med	me	VERB
cana-1241	298	3	.	.	PROPN
cana-1241	298	4	2021	2021	NUM
cana-1241	298	5	,	,	PUNCT
cana-1241	298	6	2021	2021	NUM
cana-1241	298	7	,	,	PUNCT
cana-1241	298	8	6141470	6141470	NUM
cana-1241	298	9	.	.	PUNCT
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cana-1241	299	2	21	21	NUM
cana-1241	299	3	]	]	PUNCT
cana-1241	299	4	kaggle,“chronic	kaggle,“chronic	PROPN
cana-1241	299	5	kidney	kidney	PROPN
cana-1241	299	6	disease	disease	NOUN
cana-1241	299	7	dataset	dataset	VERB
cana-1241	299	8	,	,	PUNCT
cana-1241	299	9	”	"	PUNCT
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cana-1241	299	12	/	/	SYM
cana-1241	299	13	abhia1999	abhia1999	PROPN
cana-1241	299	14	/	/	SYM
cana-1241	299	15	chronic	chronic	NOUN
cana-1241	299	16	-	-	PUNCT
cana-1241	299	17	kidney	kidney	NOUN
cana-1241	299	18	-	-	PUNCT
cana-1241	299	19	disease	disease	NOUN