id	sid	tid	token	lemma	pos
aiti-13972	1	1	microsoft	microsoft	PROPN
aiti-13972	1	2	word	word	NOUN
aiti-13972	1	3	5	5	NUM
aiti-13972	1	4	-	-	PUNCT
aiti-13972	1	5	v9n4(2024)-aiti#13972(319	v9n4(2024)-aiti#13972(319	NUM
aiti-13972	1	6	-	-	PUNCT
aiti-13972	1	7	331).docx	331).docx	NOUN
aiti-13972	1	8	advances	advance	NOUN
aiti-13972	1	9	in	in	ADP
aiti-13972	1	10	technology	technology	NOUN
aiti-13972	1	11	innovation	innovation	NOUN
aiti-13972	1	12	,	,	PUNCT
aiti-13972	1	13	vol	vol	NOUN
aiti-13972	1	14	.	.	PROPN
aiti-13972	1	15	9	9	NUM
aiti-13972	1	16	,	,	PUNCT
aiti-13972	1	17	no	no	INTJ
aiti-13972	1	18	.	.	NOUN
aiti-13972	1	19	4	4	NUM
aiti-13972	1	20	,	,	PUNCT
aiti-13972	1	21	2024	2024	NUM
aiti-13972	1	22	,	,	PUNCT
aiti-13972	1	23	pp	pp	ADV
aiti-13972	1	24	.	.	PUNCT
aiti-13972	2	1	319	319	NUM
aiti-13972	2	2	-	-	SYM
aiti-13972	2	3	331	331	NUM
aiti-13972	2	4	english	english	ADJ
aiti-13972	2	5	language	language	NOUN
aiti-13972	2	6	proofreader	proofreader	NOUN
aiti-13972	2	7	:	:	PUNCT
aiti-13972	2	8	chih	chih	PROPN
aiti-13972	2	9	-	-	PUNCT
aiti-13972	2	10	wei	wei	PROPN
aiti-13972	2	11	chang	chang	PROPN
aiti-13972	2	12	a	a	DET
aiti-13972	2	13	novel	novel	ADJ
aiti-13972	2	14	hybrid	hybrid	NOUN
aiti-13972	2	15	approach	approach	NOUN
aiti-13972	2	16	for	for	ADP
aiti-13972	2	17	feature	feature	NOUN
aiti-13972	2	18	selection	selection	NOUN
aiti-13972	2	19	in	in	ADP
aiti-13972	2	20	cardiovascular	cardiovascular	ADJ
aiti-13972	2	21	risk	risk	NOUN
aiti-13972	2	22	assessment	assessment	NOUN
aiti-13972	2	23	ankush	ankush	ADJ
aiti-13972	2	24	hutke	hutke	PROPN
aiti-13972	2	25	*	*	PROPN
aiti-13972	2	26	,	,	PUNCT
aiti-13972	2	27	jyoti	jyoti	PROPN
aiti-13972	2	28	deshmukh	deshmukh	PROPN
aiti-13972	2	29	department	department	PROPN
aiti-13972	2	30	of	of	ADP
aiti-13972	2	31	computer	computer	NOUN
aiti-13972	2	32	engineering	engineering	NOUN
aiti-13972	2	33	,	,	PUNCT
aiti-13972	2	34	mct	mct	PROPN
aiti-13972	2	35	’s	’s	PART
aiti-13972	2	36	rajiv	rajiv	PROPN
aiti-13972	2	37	gandhi	gandhi	PROPN
aiti-13972	2	38	institute	institute	PROPN
aiti-13972	2	39	of	of	ADP
aiti-13972	2	40	technology	technology	PROPN
aiti-13972	2	41	,	,	PUNCT
aiti-13972	2	42	university	university	PROPN
aiti-13972	2	43	of	of	ADP
aiti-13972	2	44	mumbai	mumbai	PROPN
aiti-13972	2	45	,	,	PUNCT
aiti-13972	2	46	maharashtra	maharashtra	PROPN
aiti-13972	2	47	,	,	PUNCT
aiti-13972	2	48	india	india	PROPN
aiti-13972	2	49	received	receive	VERB
aiti-13972	2	50	06	06	NUM
aiti-13972	2	51	july	july	PROPN
aiti-13972	2	52	2024	2024	NUM
aiti-13972	2	53	;	;	PUNCT
aiti-13972	2	54	received	receive	VERB
aiti-13972	2	55	in	in	ADP
aiti-13972	2	56	revised	revise	VERB
aiti-13972	2	57	form	form	NOUN
aiti-13972	2	58	18	18	NUM
aiti-13972	2	59	august	august	PROPN
aiti-13972	2	60	2024	2024	NUM
aiti-13972	2	61	;	;	PUNCT
aiti-13972	2	62	accepted	accept	VERB
aiti-13972	2	63	22	22	NUM
aiti-13972	2	64	august	august	PROPN
aiti-13972	2	65	2024	2024	NUM
aiti-13972	2	66	doi	doi	NOUN
aiti-13972	2	67	:	:	PUNCT
aiti-13972	2	68	https://doi.org/10.46604/aiti.2024.13972	https://doi.org/10.46604/aiti.2024.13972	PROPN
aiti-13972	2	69	abstract	abstract	ADJ
aiti-13972	2	70	early	early	ADJ
aiti-13972	2	71	detection	detection	NOUN
aiti-13972	2	72	of	of	ADP
aiti-13972	2	73	cardiac	cardiac	ADJ
aiti-13972	2	74	risk	risk	NOUN
aiti-13972	2	75	is	be	AUX
aiti-13972	2	76	crucial	crucial	ADJ
aiti-13972	2	77	for	for	ADP
aiti-13972	2	78	accurate	accurate	ADJ
aiti-13972	2	79	diagnosis	diagnosis	NOUN
aiti-13972	2	80	and	and	CCONJ
aiti-13972	2	81	treatment	treatment	NOUN
aiti-13972	2	82	of	of	ADP
aiti-13972	2	83	fatal	fatal	ADJ
aiti-13972	2	84	cardiovascular	cardiovascular	ADJ
aiti-13972	2	85	diseases	disease	NOUN
aiti-13972	2	86	.	.	PUNCT
aiti-13972	3	1	selecting	select	VERB
aiti-13972	3	2	relevant	relevant	ADJ
aiti-13972	3	3	features	feature	NOUN
aiti-13972	3	4	is	be	AUX
aiti-13972	3	5	essential	essential	ADJ
aiti-13972	3	6	for	for	ADP
aiti-13972	3	7	machine	machine	NOUN
aiti-13972	3	8	learning	learning	NOUN
aiti-13972	3	9	in	in	ADP
aiti-13972	3	10	building	build	VERB
aiti-13972	3	11	an	an	DET
aiti-13972	3	12	effective	effective	ADJ
aiti-13972	3	13	decision	decision	NOUN
aiti-13972	3	14	support	support	NOUN
aiti-13972	3	15	system	system	NOUN
aiti-13972	3	16	of	of	ADP
aiti-13972	3	17	cardiovascular	cardiovascular	ADJ
aiti-13972	3	18	risk	risk	NOUN
aiti-13972	3	19	assessment	assessment	NOUN
aiti-13972	3	20	,	,	PUNCT
aiti-13972	3	21	ensuring	ensure	VERB
aiti-13972	3	22	accuracy	accuracy	NOUN
aiti-13972	3	23	of	of	ADP
aiti-13972	3	24	high	high	ADJ
aiti-13972	3	25	-	-	PUNCT
aiti-13972	3	26	dimensional	dimensional	ADJ
aiti-13972	3	27	data	datum	NOUN
aiti-13972	3	28	.	.	PUNCT
aiti-13972	4	1	this	this	DET
aiti-13972	4	2	study	study	NOUN
aiti-13972	4	3	aims	aim	VERB
aiti-13972	4	4	to	to	PART
aiti-13972	4	5	propose	propose	VERB
aiti-13972	4	6	a	a	DET
aiti-13972	4	7	novel	novel	ADJ
aiti-13972	4	8	hybrid	hybrid	ADJ
aiti-13972	4	9	feature	feature	NOUN
aiti-13972	4	10	selection	selection	NOUN
aiti-13972	4	11	approach	approach	NOUN
aiti-13972	4	12	,	,	PUNCT
aiti-13972	4	13	termed	term	VERB
aiti-13972	4	14	ant	ant	ADJ
aiti-13972	4	15	colony	colony	NOUN
aiti-13972	4	16	optimization	optimization	NOUN
aiti-13972	4	17	with	with	ADP
aiti-13972	4	18	hill	hill	NOUN
aiti-13972	4	19	climbing	climbing	NOUN
aiti-13972	4	20	(	(	PUNCT
aiti-13972	4	21	acohc	acohc	NOUN
aiti-13972	4	22	)	)	PUNCT
aiti-13972	4	23	,	,	PUNCT
aiti-13972	4	24	integrating	integrate	VERB
aiti-13972	4	25	ant	ant	ADJ
aiti-13972	4	26	colony	colony	NOUN
aiti-13972	4	27	optimization	optimization	NOUN
aiti-13972	4	28	(	(	PUNCT
aiti-13972	4	29	aco	aco	PROPN
aiti-13972	4	30	)	)	PUNCT
aiti-13972	4	31	and	and	CCONJ
aiti-13972	4	32	hill	hill	NOUN
aiti-13972	4	33	climbing	climbing	NOUN
aiti-13972	4	34	(	(	PUNCT
aiti-13972	4	35	hc	hc	NOUN
aiti-13972	4	36	)	)	PUNCT
aiti-13972	4	37	algorithms	algorithm	NOUN
aiti-13972	4	38	.	.	PUNCT
aiti-13972	5	1	the	the	DET
aiti-13972	5	2	accuracy	accuracy	NOUN
aiti-13972	5	3	metric	metric	ADJ
aiti-13972	5	4	and	and	CCONJ
aiti-13972	5	5	various	various	ADJ
aiti-13972	5	6	classifiers	classifier	NOUN
aiti-13972	5	7	are	be	AUX
aiti-13972	5	8	deployed	deploy	VERB
aiti-13972	5	9	to	to	PART
aiti-13972	5	10	evaluate	evaluate	VERB
aiti-13972	5	11	the	the	DET
aiti-13972	5	12	effectiveness	effectiveness	NOUN
aiti-13972	5	13	.	.	PUNCT
aiti-13972	6	1	additionally	additionally	ADV
aiti-13972	6	2	,	,	PUNCT
aiti-13972	6	3	comparisons	comparison	NOUN
aiti-13972	6	4	are	be	AUX
aiti-13972	6	5	made	make	VERB
aiti-13972	6	6	with	with	ADP
aiti-13972	6	7	nine	nine	NUM
aiti-13972	6	8	alternative	alternative	ADJ
aiti-13972	6	9	feature	feature	NOUN
aiti-13972	6	10	selection	selection	NOUN
aiti-13972	6	11	techniques	technique	NOUN
aiti-13972	6	12	.	.	PUNCT
aiti-13972	7	1	the	the	DET
aiti-13972	7	2	feature	feature	NOUN
aiti-13972	7	3	subset	subset	NOUN
aiti-13972	7	4	identified	identify	VERB
aiti-13972	7	5	through	through	ADP
aiti-13972	7	6	the	the	DET
aiti-13972	7	7	acohc	acohc	PROPN
aiti-13972	7	8	attains	attain	NOUN
aiti-13972	7	9	a	a	DET
aiti-13972	7	10	classification	classification	NOUN
aiti-13972	7	11	accuracy	accuracy	NOUN
aiti-13972	7	12	of	of	ADP
aiti-13972	7	13	95.1	95.1	NUM
aiti-13972	7	14	%	%	NOUN
aiti-13972	7	15	with	with	ADP
aiti-13972	7	16	the	the	DET
aiti-13972	7	17	support	support	NOUN
aiti-13972	7	18	vector	vector	NOUN
aiti-13972	7	19	machine	machine	NOUN
aiti-13972	7	20	classifier	classifier	NOUN
aiti-13972	7	21	.	.	PUNCT
aiti-13972	8	1	keywords	keyword	NOUN
aiti-13972	8	2	:	:	PUNCT
aiti-13972	8	3	machine	machine	NOUN
aiti-13972	8	4	learning	learning	NOUN
aiti-13972	8	5	,	,	PUNCT
aiti-13972	8	6	support	support	VERB
aiti-13972	8	7	vector	vector	NOUN
aiti-13972	8	8	machine	machine	NOUN
aiti-13972	8	9	,	,	PUNCT
aiti-13972	8	10	acohc	acohc	PROPN
aiti-13972	8	11	,	,	PUNCT
aiti-13972	8	12	hill	hill	NOUN
aiti-13972	8	13	climbing	climbing	NOUN
aiti-13972	8	14	,	,	PUNCT
aiti-13972	8	15	ant	ant	ADJ
aiti-13972	8	16	colony	colony	NOUN
aiti-13972	8	17	optimization	optimization	NOUN
aiti-13972	8	18	1	1	NUM
aiti-13972	8	19	.	.	PUNCT
aiti-13972	9	1	introduction	introduction	NOUN
aiti-13972	9	2	cardiovascular	cardiovascular	ADJ
aiti-13972	9	3	diseases	disease	NOUN
aiti-13972	9	4	(	(	PUNCT
aiti-13972	9	5	cvds	cvds	PROPN
aiti-13972	9	6	)	)	PUNCT
aiti-13972	9	7	continue	continue	VERB
aiti-13972	9	8	to	to	PART
aiti-13972	9	9	be	be	AUX
aiti-13972	9	10	the	the	DET
aiti-13972	9	11	leading	lead	VERB
aiti-13972	9	12	cause	cause	NOUN
aiti-13972	9	13	of	of	ADP
aiti-13972	9	14	mortality	mortality	NOUN
aiti-13972	9	15	worldwide	worldwide	ADV
aiti-13972	9	16	,	,	PUNCT
aiti-13972	9	17	posing	pose	VERB
aiti-13972	9	18	significant	significant	ADJ
aiti-13972	9	19	challenges	challenge	NOUN
aiti-13972	9	20	for	for	ADP
aiti-13972	9	21	healthcare	healthcare	NOUN
aiti-13972	9	22	systems	system	NOUN
aiti-13972	9	23	and	and	CCONJ
aiti-13972	9	24	necessitating	necessitate	VERB
aiti-13972	9	25	effective	effective	ADJ
aiti-13972	9	26	risk	risk	NOUN
aiti-13972	9	27	assessment	assessment	NOUN
aiti-13972	9	28	and	and	CCONJ
aiti-13972	9	29	management	management	NOUN
aiti-13972	9	30	strategies	strategy	NOUN
aiti-13972	9	31	[	[	X
aiti-13972	9	32	1	1	NUM
aiti-13972	9	33	]	]	PUNCT
aiti-13972	9	34	.	.	PUNCT
aiti-13972	10	1	therefore	therefore	ADV
aiti-13972	10	2	,	,	PUNCT
aiti-13972	10	3	accurate	accurate	ADJ
aiti-13972	10	4	prediction	prediction	NOUN
aiti-13972	10	5	of	of	ADP
aiti-13972	10	6	cardiovascular	cardiovascular	ADJ
aiti-13972	10	7	risk	risk	NOUN
aiti-13972	10	8	,	,	PUNCT
aiti-13972	10	9	which	which	PRON
aiti-13972	10	10	requires	require	VERB
aiti-13972	10	11	the	the	DET
aiti-13972	10	12	integration	integration	NOUN
aiti-13972	10	13	and	and	CCONJ
aiti-13972	10	14	analysis	analysis	NOUN
aiti-13972	10	15	of	of	ADP
aiti-13972	10	16	complex	complex	ADJ
aiti-13972	10	17	and	and	CCONJ
aiti-13972	10	18	multifaceted	multifaceted	ADJ
aiti-13972	10	19	data	datum	NOUN
aiti-13972	10	20	,	,	PUNCT
aiti-13972	10	21	is	be	AUX
aiti-13972	10	22	crucial	crucial	ADJ
aiti-13972	10	23	for	for	ADP
aiti-13972	10	24	early	early	ADJ
aiti-13972	10	25	intervention	intervention	NOUN
aiti-13972	10	26	and	and	CCONJ
aiti-13972	10	27	prevention	prevention	NOUN
aiti-13972	10	28	[	[	X
aiti-13972	10	29	2	2	NUM
aiti-13972	10	30	]	]	PUNCT
aiti-13972	10	31	.	.	PUNCT
aiti-13972	11	1	the	the	DET
aiti-13972	11	2	high	high	ADV
aiti-13972	11	3	-	-	PUNCT
aiti-13972	11	4	dimensional	dimensional	ADJ
aiti-13972	11	5	and	and	CCONJ
aiti-13972	11	6	diverse	diverse	ADJ
aiti-13972	11	7	nature	nature	NOUN
aiti-13972	11	8	of	of	ADP
aiti-13972	11	9	cardiovascular	cardiovascular	ADJ
aiti-13972	11	10	data	datum	NOUN
aiti-13972	11	11	,	,	PUNCT
aiti-13972	11	12	which	which	PRON
aiti-13972	11	13	may	may	AUX
aiti-13972	11	14	include	include	VERB
aiti-13972	11	15	clinical	clinical	ADJ
aiti-13972	11	16	,	,	PUNCT
aiti-13972	11	17	genetic	genetic	ADJ
aiti-13972	11	18	,	,	PUNCT
aiti-13972	11	19	lifestyle	lifestyle	NOUN
aiti-13972	11	20	,	,	PUNCT
aiti-13972	11	21	and	and	CCONJ
aiti-13972	11	22	environmental	environmental	ADJ
aiti-13972	11	23	aspects	aspect	NOUN
aiti-13972	11	24	,	,	PUNCT
aiti-13972	11	25	hinders	hinder	VERB
aiti-13972	11	26	traditional	traditional	ADJ
aiti-13972	11	27	feature	feature	NOUN
aiti-13972	11	28	selection	selection	NOUN
aiti-13972	11	29	approaches	approach	NOUN
aiti-13972	11	30	despite	despite	SCONJ
aiti-13972	11	31	their	their	PRON
aiti-13972	11	32	value	value	NOUN
aiti-13972	11	33	[	[	X
aiti-13972	11	34	3	3	NUM
aiti-13972	11	35	-	-	SYM
aiti-13972	11	36	4	4	NUM
aiti-13972	11	37	]	]	PUNCT
aiti-13972	11	38	.	.	PUNCT
aiti-13972	12	1	many	many	ADJ
aiti-13972	12	2	diverse	diverse	ADJ
aiti-13972	12	3	domains	domain	NOUN
aiti-13972	12	4	employ	employ	VERB
aiti-13972	12	5	machine	machine	NOUN
aiti-13972	12	6	learning	learning	NOUN
aiti-13972	12	7	,	,	PUNCT
aiti-13972	12	8	an	an	DET
aiti-13972	12	9	expanding	expand	VERB
aiti-13972	12	10	topic	topic	NOUN
aiti-13972	12	11	in	in	ADP
aiti-13972	12	12	computer	computer	NOUN
aiti-13972	12	13	science	science	NOUN
aiti-13972	12	14	,	,	PUNCT
aiti-13972	12	15	to	to	PART
aiti-13972	12	16	develop	develop	VERB
aiti-13972	12	17	various	various	ADJ
aiti-13972	12	18	decision	decision	NOUN
aiti-13972	12	19	support	support	NOUN
aiti-13972	12	20	systems	system	NOUN
aiti-13972	12	21	.	.	PUNCT
aiti-13972	13	1	practically	practically	ADV
aiti-13972	13	2	,	,	PUNCT
aiti-13972	13	3	grappling	grapple	VERB
aiti-13972	13	4	with	with	ADP
aiti-13972	13	5	high	high	ADJ
aiti-13972	13	6	-	-	PUNCT
aiti-13972	13	7	dimensional	dimensional	ADJ
aiti-13972	13	8	data	datum	NOUN
aiti-13972	13	9	emerges	emerge	VERB
aiti-13972	13	10	as	as	ADP
aiti-13972	13	11	a	a	DET
aiti-13972	13	12	prevalent	prevalent	ADJ
aiti-13972	13	13	challenge	challenge	NOUN
aiti-13972	13	14	.	.	PUNCT
aiti-13972	14	1	this	this	DET
aiti-13972	14	2	type	type	NOUN
aiti-13972	14	3	of	of	ADP
aiti-13972	14	4	data	datum	NOUN
aiti-13972	14	5	can	can	AUX
aiti-13972	14	6	escalate	escalate	VERB
aiti-13972	14	7	complexity	complexity	NOUN
aiti-13972	14	8	and	and	CCONJ
aiti-13972	14	9	compromise	compromise	NOUN
aiti-13972	14	10	system	system	NOUN
aiti-13972	14	11	accuracy	accuracy	NOUN
aiti-13972	15	1	[	[	X
aiti-13972	15	2	5	5	NUM
aiti-13972	15	3	]	]	PUNCT
aiti-13972	15	4	.	.	PUNCT
aiti-13972	16	1	feature	feature	NOUN
aiti-13972	16	2	selection	selection	NOUN
aiti-13972	16	3	techniques	technique	NOUN
aiti-13972	16	4	tackle	tackle	VERB
aiti-13972	16	5	this	this	DET
aiti-13972	16	6	problem	problem	NOUN
aiti-13972	16	7	by	by	ADP
aiti-13972	16	8	eliminating	eliminate	VERB
aiti-13972	16	9	insignificant	insignificant	ADJ
aiti-13972	16	10	features	feature	NOUN
aiti-13972	16	11	and	and	CCONJ
aiti-13972	16	12	keeping	keep	VERB
aiti-13972	16	13	the	the	DET
aiti-13972	16	14	relevant	relevant	ADJ
aiti-13972	16	15	ones	one	NOUN
aiti-13972	16	16	.	.	PUNCT
aiti-13972	17	1	this	this	DET
aiti-13972	17	2	reduction	reduction	NOUN
aiti-13972	17	3	improves	improve	VERB
aiti-13972	17	4	system	system	NOUN
aiti-13972	17	5	accuracy	accuracy	NOUN
aiti-13972	17	6	and	and	CCONJ
aiti-13972	17	7	simplifies	simplify	VERB
aiti-13972	17	8	its	its	PRON
aiti-13972	17	9	complexity	complexity	NOUN
aiti-13972	17	10	.	.	PUNCT
aiti-13972	18	1	additionally	additionally	ADV
aiti-13972	18	2	,	,	PUNCT
aiti-13972	18	3	removing	remove	VERB
aiti-13972	18	4	redundant	redundant	ADJ
aiti-13972	18	5	and	and	CCONJ
aiti-13972	18	6	noisy	noisy	ADJ
aiti-13972	18	7	features	feature	NOUN
aiti-13972	18	8	helps	help	VERB
aiti-13972	18	9	to	to	PART
aiti-13972	18	10	decrease	decrease	VERB
aiti-13972	18	11	computation	computation	NOUN
aiti-13972	18	12	time	time	NOUN
aiti-13972	18	13	[	[	X
aiti-13972	18	14	6	6	NUM
aiti-13972	18	15	]	]	PUNCT
aiti-13972	18	16	.	.	PUNCT
aiti-13972	19	1	three	three	NUM
aiti-13972	19	2	categories	category	NOUN
aiti-13972	19	3	may	may	AUX
aiti-13972	19	4	be	be	AUX
aiti-13972	19	5	used	use	VERB
aiti-13972	19	6	to	to	ADP
aiti-13972	19	7	group	group	NOUN
aiti-13972	19	8	feature	feature	NOUN
aiti-13972	19	9	selection	selection	NOUN
aiti-13972	19	10	techniques	technique	NOUN
aiti-13972	19	11	:	:	PUNCT
aiti-13972	19	12	(	(	PUNCT
aiti-13972	19	13	1	1	X
aiti-13972	19	14	)	)	PUNCT
aiti-13972	19	15	filter	filter	NOUN
aiti-13972	19	16	methods	method	NOUN
aiti-13972	19	17	:	:	PUNCT
aiti-13972	19	18	these	these	DET
aiti-13972	19	19	methods	method	NOUN
aiti-13972	19	20	determine	determine	VERB
aiti-13972	19	21	the	the	DET
aiti-13972	19	22	importance	importance	NOUN
aiti-13972	19	23	of	of	ADP
aiti-13972	19	24	each	each	DET
aiti-13972	19	25	feature	feature	NOUN
aiti-13972	19	26	apart	apart	ADV
aiti-13972	19	27	from	from	ADP
aiti-13972	19	28	the	the	DET
aiti-13972	19	29	learning	learning	NOUN
aiti-13972	19	30	process	process	NOUN
aiti-13972	19	31	.	.	PUNCT
aiti-13972	20	1	statistical	statistical	ADJ
aiti-13972	20	2	measurements	measurement	NOUN
aiti-13972	20	3	or	or	CCONJ
aiti-13972	20	4	heuristic	heuristic	ADJ
aiti-13972	20	5	techniques	technique	NOUN
aiti-13972	20	6	are	be	AUX
aiti-13972	20	7	pervasively	pervasively	ADV
aiti-13972	20	8	employed	employ	VERB
aiti-13972	20	9	to	to	ADP
aiti-13972	20	10	rank	rank	VERB
aiti-13972	20	11	,	,	PUNCT
aiti-13972	20	12	or	or	CCONJ
aiti-13972	20	13	score	score	NOUN
aiti-13972	20	14	features	feature	NOUN
aiti-13972	20	15	according	accord	VERB
aiti-13972	20	16	to	to	ADP
aiti-13972	20	17	their	their	PRON
aiti-13972	20	18	correlation	correlation	NOUN
aiti-13972	20	19	with	with	ADP
aiti-13972	20	20	the	the	DET
aiti-13972	20	21	target	target	NOUN
aiti-13972	20	22	variable	variable	NOUN
aiti-13972	20	23	.	.	PUNCT
aiti-13972	21	1	the	the	DET
aiti-13972	21	2	chi	chi	ADJ
aiti-13972	21	3	-	-	PUNCT
aiti-13972	21	4	square	square	NOUN
aiti-13972	21	5	test	test	NOUN
aiti-13972	21	6	and	and	CCONJ
aiti-13972	21	7	information	information	NOUN
aiti-13972	21	8	gain	gain	NOUN
aiti-13972	21	9	are	be	AUX
aiti-13972	21	10	examples	example	NOUN
aiti-13972	21	11	of	of	ADP
aiti-13972	21	12	common	common	ADJ
aiti-13972	21	13	methods	method	NOUN
aiti-13972	21	14	.	.	PUNCT
aiti-13972	22	1	*	*	PUNCT
aiti-13972	22	2	corresponding	correspond	VERB
aiti-13972	22	3	author	author	NOUN
aiti-13972	22	4	.	.	PUNCT
aiti-13972	23	1	e	e	X
aiti-13972	23	2	-	-	NOUN
aiti-13972	23	3	mail	mail	NOUN
aiti-13972	23	4	address	address	NOUN
aiti-13972	23	5	:	:	PUNCT
aiti-13972	23	6	ankush.hutke@mctrgit.ac.in	ankush.hutke@mctrgit.ac.in	NUM
aiti-13972	23	7	320	320	NUM
aiti-13972	23	8	advances	advance	NOUN
aiti-13972	23	9	in	in	ADP
aiti-13972	23	10	technology	technology	NOUN
aiti-13972	23	11	innovation	innovation	NOUN
aiti-13972	23	12	,	,	PUNCT
aiti-13972	23	13	vol	vol	NOUN
aiti-13972	23	14	.	.	PROPN
aiti-13972	23	15	9	9	NUM
aiti-13972	23	16	,	,	PUNCT
aiti-13972	23	17	no	no	INTJ
aiti-13972	23	18	.	.	NOUN
aiti-13972	23	19	4	4	NUM
aiti-13972	23	20	,	,	PUNCT
aiti-13972	23	21	2024	2024	NUM
aiti-13972	23	22	,	,	PUNCT
aiti-13972	23	23	pp	pp	ADV
aiti-13972	23	24	.	.	PUNCT
aiti-13972	24	1	319	319	NUM
aiti-13972	24	2	-	-	SYM
aiti-13972	24	3	331	331	NUM
aiti-13972	24	4	(	(	PUNCT
aiti-13972	24	5	2	2	NUM
aiti-13972	24	6	)	)	PUNCT
aiti-13972	24	7	wrapper	wrapper	NOUN
aiti-13972	24	8	methods	method	NOUN
aiti-13972	24	9	:	:	PUNCT
aiti-13972	24	10	these	these	DET
aiti-13972	24	11	methods	method	NOUN
aiti-13972	24	12	appraise	appraise	VERB
aiti-13972	24	13	the	the	DET
aiti-13972	24	14	performance	performance	NOUN
aiti-13972	24	15	of	of	ADP
aiti-13972	24	16	a	a	DET
aiti-13972	24	17	subset	subset	NOUN
aiti-13972	24	18	of	of	ADP
aiti-13972	24	19	features	feature	NOUN
aiti-13972	24	20	using	use	VERB
aiti-13972	24	21	the	the	DET
aiti-13972	24	22	predictive	predictive	ADJ
aiti-13972	24	23	power	power	NOUN
aiti-13972	24	24	of	of	ADP
aiti-13972	24	25	a	a	DET
aiti-13972	24	26	particular	particular	ADJ
aiti-13972	24	27	machine	machine	NOUN
aiti-13972	24	28	learning	learning	NOUN
aiti-13972	24	29	algorithm	algorithm	NOUN
aiti-13972	24	30	.	.	PUNCT
aiti-13972	25	1	they	they	PRON
aiti-13972	25	2	entail	entail	VERB
aiti-13972	25	3	iterative	iterative	NOUN
aiti-13972	25	4	search	search	NOUN
aiti-13972	25	5	procedures	procedure	NOUN
aiti-13972	25	6	,	,	PUNCT
aiti-13972	25	7	such	such	ADJ
aiti-13972	25	8	as	as	ADP
aiti-13972	25	9	backward	backward	ADJ
aiti-13972	25	10	elimination	elimination	NOUN
aiti-13972	25	11	,	,	PUNCT
aiti-13972	25	12	forward	forward	ADJ
aiti-13972	25	13	selection	selection	NOUN
aiti-13972	25	14	,	,	PUNCT
aiti-13972	25	15	or	or	CCONJ
aiti-13972	25	16	recursive	recursive	ADJ
aiti-13972	25	17	feature	feature	NOUN
aiti-13972	25	18	elimination	elimination	NOUN
aiti-13972	25	19	(	(	PUNCT
aiti-13972	25	20	rfe	rfe	NOUN
aiti-13972	25	21	)	)	PUNCT
aiti-13972	25	22	,	,	PUNCT
aiti-13972	25	23	to	to	PART
aiti-13972	25	24	find	find	VERB
aiti-13972	25	25	the	the	DET
aiti-13972	25	26	optimal	optimal	ADJ
aiti-13972	25	27	subset	subset	NOUN
aiti-13972	25	28	of	of	ADP
aiti-13972	25	29	features	feature	NOUN
aiti-13972	25	30	,	,	PUNCT
aiti-13972	25	31	thereby	thereby	ADV
aiti-13972	25	32	providing	provide	VERB
aiti-13972	25	33	the	the	DET
aiti-13972	25	34	optimal	optimal	ADJ
aiti-13972	25	35	performance	performance	NOUN
aiti-13972	25	36	for	for	ADP
aiti-13972	25	37	the	the	DET
aiti-13972	25	38	specified	specified	ADJ
aiti-13972	25	39	model	model	NOUN
aiti-13972	25	40	.	.	PUNCT
aiti-13972	26	1	(	(	PUNCT
aiti-13972	26	2	3	3	X
aiti-13972	26	3	)	)	PUNCT
aiti-13972	26	4	embedded	embed	VERB
aiti-13972	26	5	methods	method	NOUN
aiti-13972	26	6	:	:	PUNCT
aiti-13972	26	7	these	these	DET
aiti-13972	26	8	techniques	technique	NOUN
aiti-13972	26	9	include	include	VERB
aiti-13972	26	10	feature	feature	NOUN
aiti-13972	26	11	selection	selection	NOUN
aiti-13972	26	12	while	while	SCONJ
aiti-13972	26	13	creating	create	VERB
aiti-13972	26	14	the	the	DET
aiti-13972	26	15	model	model	NOUN
aiti-13972	26	16	.	.	PUNCT
aiti-13972	27	1	feature	feature	NOUN
aiti-13972	27	2	selection	selection	NOUN
aiti-13972	27	3	occurs	occur	VERB
aiti-13972	27	4	internally	internally	ADV
aiti-13972	27	5	within	within	ADP
aiti-13972	27	6	the	the	DET
aiti-13972	27	7	algorithm	algorithm	NOUN
aiti-13972	27	8	during	during	ADP
aiti-13972	27	9	training	training	NOUN
aiti-13972	27	10	.	.	PUNCT
aiti-13972	28	1	examples	example	NOUN
aiti-13972	28	2	include	include	VERB
aiti-13972	28	3	decision	decision	NOUN
aiti-13972	28	4	trees	tree	NOUN
aiti-13972	28	5	,	,	PUNCT
aiti-13972	28	6	least	least	ADJ
aiti-13972	28	7	absolute	absolute	ADJ
aiti-13972	28	8	shrinkage	shrinkage	NOUN
aiti-13972	28	9	and	and	CCONJ
aiti-13972	28	10	selection	selection	NOUN
aiti-13972	28	11	operator	operator	NOUN
aiti-13972	28	12	(	(	PUNCT
aiti-13972	28	13	lasso	lasso	PROPN
aiti-13972	28	14	)	)	PUNCT
aiti-13972	28	15	,	,	PUNCT
aiti-13972	28	16	and	and	CCONJ
aiti-13972	28	17	feature	feature	NOUN
aiti-13972	28	18	importance	importance	NOUN
aiti-13972	28	19	scores	score	NOUN
aiti-13972	28	20	derived	derive	VERB
aiti-13972	28	21	from	from	ADP
aiti-13972	28	22	ensemble	ensemble	ADJ
aiti-13972	28	23	models	model	NOUN
aiti-13972	28	24	like	like	ADP
aiti-13972	28	25	random	random	ADJ
aiti-13972	28	26	forests	forest	NOUN
aiti-13972	28	27	[	[	X
aiti-13972	28	28	7	7	NUM
aiti-13972	28	29	]	]	PUNCT
aiti-13972	28	30	.	.	PUNCT
aiti-13972	29	1	researchers	researcher	NOUN
aiti-13972	29	2	have	have	AUX
aiti-13972	29	3	examined	examine	VERB
aiti-13972	29	4	multifarious	multifarious	ADJ
aiti-13972	29	5	feature	feature	NOUN
aiti-13972	29	6	selection	selection	NOUN
aiti-13972	29	7	strategies	strategy	NOUN
aiti-13972	29	8	and	and	CCONJ
aiti-13972	29	9	classifiers	classifier	NOUN
aiti-13972	29	10	on	on	ADP
aiti-13972	29	11	different	different	ADJ
aiti-13972	29	12	heart	heart	NOUN
aiti-13972	29	13	disease	disease	NOUN
aiti-13972	29	14	datasets	dataset	NOUN
aiti-13972	29	15	.	.	PUNCT
aiti-13972	30	1	diagnosing	diagnose	VERB
aiti-13972	30	2	diseases	disease	NOUN
aiti-13972	30	3	using	use	VERB
aiti-13972	30	4	computer	computer	NOUN
aiti-13972	30	5	-	-	PUNCT
aiti-13972	30	6	based	base	VERB
aiti-13972	30	7	systems	system	NOUN
aiti-13972	30	8	encompasses	encompass	VERB
aiti-13972	30	9	processing	process	VERB
aiti-13972	30	10	and	and	CCONJ
aiti-13972	30	11	analyzing	analyze	VERB
aiti-13972	30	12	high	high	ADV
aiti-13972	30	13	-	-	PUNCT
aiti-13972	30	14	dimensional	dimensional	ADJ
aiti-13972	30	15	and	and	CCONJ
aiti-13972	30	16	diverse	diverse	ADJ
aiti-13972	30	17	data	datum	NOUN
aiti-13972	30	18	.	.	PUNCT
aiti-13972	31	1	such	such	ADJ
aiti-13972	31	2	data	datum	NOUN
aiti-13972	31	3	can	can	AUX
aiti-13972	31	4	incur	incur	VERB
aiti-13972	31	5	model	model	NOUN
aiti-13972	31	6	overfitting	overfitting	NOUN
aiti-13972	31	7	and	and	CCONJ
aiti-13972	31	8	prolonged	prolonged	ADJ
aiti-13972	31	9	training	training	NOUN
aiti-13972	31	10	times	time	NOUN
aiti-13972	31	11	.	.	PUNCT
aiti-13972	32	1	feature	feature	NOUN
aiti-13972	32	2	selection	selection	NOUN
aiti-13972	32	3	,	,	PUNCT
aiti-13972	32	4	a	a	DET
aiti-13972	32	5	dimensionality	dimensionality	NOUN
aiti-13972	32	6	reduction	reduction	NOUN
aiti-13972	32	7	strategy	strategy	NOUN
aiti-13972	32	8	,	,	PUNCT
aiti-13972	32	9	removes	remove	VERB
aiti-13972	32	10	redundant	redundant	ADJ
aiti-13972	32	11	features	feature	NOUN
aiti-13972	32	12	that	that	PRON
aiti-13972	32	13	do	do	AUX
aiti-13972	32	14	not	not	PART
aiti-13972	32	15	significantly	significantly	ADV
aiti-13972	32	16	impact	impact	VERB
aiti-13972	32	17	classifier	classifier	NOUN
aiti-13972	32	18	performance	performance	NOUN
aiti-13972	32	19	,	,	PUNCT
aiti-13972	32	20	thereby	thereby	ADV
aiti-13972	32	21	reducing	reduce	VERB
aiti-13972	32	22	the	the	DET
aiti-13972	32	23	data	datum	NOUN
aiti-13972	32	24	to	to	ADP
aiti-13972	32	25	a	a	DET
aiti-13972	32	26	manageable	manageable	ADJ
aiti-13972	32	27	size	size	NOUN
aiti-13972	32	28	.	.	PUNCT
aiti-13972	33	1	several	several	ADJ
aiti-13972	33	2	effective	effective	ADJ
aiti-13972	33	3	feature	feature	NOUN
aiti-13972	33	4	selection	selection	NOUN
aiti-13972	33	5	methods	method	NOUN
aiti-13972	33	6	have	have	AUX
aiti-13972	33	7	been	be	AUX
aiti-13972	33	8	created	create	VERB
aiti-13972	33	9	recently	recently	ADV
aiti-13972	33	10	to	to	PART
aiti-13972	33	11	reduce	reduce	VERB
aiti-13972	33	12	the	the	DET
aiti-13972	33	13	negative	negative	ADJ
aiti-13972	33	14	effects	effect	NOUN
aiti-13972	33	15	of	of	ADP
aiti-13972	33	16	high	high	ADJ
aiti-13972	33	17	dimensionality	dimensionality	NOUN
aiti-13972	33	18	.	.	PUNCT
aiti-13972	34	1	the	the	DET
aiti-13972	34	2	influence	influence	NOUN
aiti-13972	34	3	of	of	ADP
aiti-13972	34	4	several	several	ADJ
aiti-13972	34	5	feature	feature	NOUN
aiti-13972	34	6	selection	selection	NOUN
aiti-13972	34	7	techniques	technique	NOUN
aiti-13972	34	8	is	be	AUX
aiti-13972	34	9	examined	examine	VERB
aiti-13972	34	10	in	in	ADP
aiti-13972	34	11	this	this	DET
aiti-13972	34	12	study	study	NOUN
aiti-13972	34	13	.	.	PUNCT
aiti-13972	35	1	an	an	DET
aiti-13972	35	2	experimental	experimental	ADJ
aiti-13972	35	3	approach	approach	NOUN
aiti-13972	35	4	is	be	AUX
aiti-13972	35	5	used	use	VERB
aiti-13972	35	6	,	,	PUNCT
aiti-13972	35	7	which	which	PRON
aiti-13972	35	8	includes	include	VERB
aiti-13972	35	9	extensive	extensive	ADJ
aiti-13972	35	10	testing	testing	NOUN
aiti-13972	35	11	on	on	ADP
aiti-13972	35	12	actual	actual	ADJ
aiti-13972	35	13	cardiac	cardiac	ADJ
aiti-13972	35	14	disease	disease	NOUN
aiti-13972	35	15	-	-	PUNCT
aiti-13972	35	16	related	relate	VERB
aiti-13972	35	17	datasets	dataset	NOUN
aiti-13972	35	18	obtained	obtain	VERB
aiti-13972	35	19	from	from	ADP
aiti-13972	35	20	the	the	DET
aiti-13972	35	21	university	university	PROPN
aiti-13972	35	22	of	of	ADP
aiti-13972	35	23	california	california	PROPN
aiti-13972	35	24	,	,	PUNCT
aiti-13972	35	25	irvine	irvine	PROPN
aiti-13972	35	26	(	(	PUNCT
aiti-13972	35	27	uci	uci	PROPN
aiti-13972	35	28	)	)	PUNCT
aiti-13972	35	29	.	.	PUNCT
aiti-13972	36	1	the	the	DET
aiti-13972	36	2	study	study	NOUN
aiti-13972	36	3	aims	aim	VERB
aiti-13972	36	4	to	to	PART
aiti-13972	36	5	identify	identify	VERB
aiti-13972	36	6	the	the	DET
aiti-13972	36	7	most	most	ADV
aiti-13972	36	8	effective	effective	ADJ
aiti-13972	36	9	predictive	predictive	ADJ
aiti-13972	36	10	models	model	NOUN
aiti-13972	36	11	for	for	ADP
aiti-13972	36	12	forecasting	forecast	VERB
aiti-13972	36	13	heart	heart	NOUN
aiti-13972	36	14	disease	disease	NOUN
aiti-13972	36	15	and	and	CCONJ
aiti-13972	36	16	aiding	aid	VERB
aiti-13972	36	17	the	the	DET
aiti-13972	36	18	medical	medical	ADJ
aiti-13972	36	19	community	community	NOUN
aiti-13972	36	20	.	.	PUNCT
aiti-13972	37	1	feature	feature	NOUN
aiti-13972	37	2	selection	selection	NOUN
aiti-13972	37	3	is	be	AUX
aiti-13972	37	4	assessed	assess	VERB
aiti-13972	37	5	alongside	alongside	ADP
aiti-13972	37	6	accuracy	accuracy	NOUN
aiti-13972	37	7	,	,	PUNCT
aiti-13972	37	8	precision	precision	NOUN
aiti-13972	37	9	,	,	PUNCT
aiti-13972	37	10	and	and	CCONJ
aiti-13972	37	11	recall	recall	VERB
aiti-13972	37	12	as	as	ADP
aiti-13972	37	13	key	key	ADJ
aiti-13972	37	14	performance	performance	NOUN
aiti-13972	37	15	indicators	indicator	NOUN
aiti-13972	37	16	for	for	ADP
aiti-13972	37	17	the	the	DET
aiti-13972	37	18	predictive	predictive	ADJ
aiti-13972	37	19	models	model	NOUN
aiti-13972	37	20	.	.	PUNCT
aiti-13972	38	1	the	the	DET
aiti-13972	38	2	following	follow	VERB
aiti-13972	38	3	parts	part	NOUN
aiti-13972	38	4	of	of	ADP
aiti-13972	38	5	the	the	DET
aiti-13972	38	6	article	article	NOUN
aiti-13972	38	7	are	be	AUX
aiti-13972	38	8	structured	structure	VERB
aiti-13972	38	9	as	as	SCONJ
aiti-13972	38	10	section	section	NOUN
aiti-13972	38	11	2	2	NUM
aiti-13972	38	12	gives	give	VERB
aiti-13972	38	13	a	a	DET
aiti-13972	38	14	detailed	detail	VERB
aiti-13972	38	15	related	related	ADJ
aiti-13972	38	16	work	work	NOUN
aiti-13972	38	17	,	,	PUNCT
aiti-13972	38	18	including	include	VERB
aiti-13972	38	19	work	work	NOUN
aiti-13972	38	20	done	do	VERB
aiti-13972	38	21	by	by	ADP
aiti-13972	38	22	various	various	ADJ
aiti-13972	38	23	researchers	researcher	NOUN
aiti-13972	38	24	and	and	CCONJ
aiti-13972	38	25	research	research	NOUN
aiti-13972	38	26	gaps	gap	NOUN
aiti-13972	38	27	.	.	PUNCT
aiti-13972	39	1	section	section	NOUN
aiti-13972	39	2	3	3	NUM
aiti-13972	39	3	delves	delf	NOUN
aiti-13972	39	4	into	into	ADP
aiti-13972	39	5	the	the	DET
aiti-13972	39	6	specifics	specific	NOUN
aiti-13972	39	7	of	of	ADP
aiti-13972	39	8	the	the	DET
aiti-13972	39	9	proposed	propose	VERB
aiti-13972	39	10	methodologies	methodology	NOUN
aiti-13972	39	11	.	.	PUNCT
aiti-13972	40	1	the	the	DET
aiti-13972	40	2	results	result	NOUN
aiti-13972	40	3	are	be	AUX
aiti-13972	40	4	then	then	ADV
aiti-13972	40	5	shown	show	VERB
aiti-13972	40	6	in	in	ADP
aiti-13972	40	7	section	section	NOUN
aiti-13972	40	8	4	4	NUM
aiti-13972	40	9	,	,	PUNCT
aiti-13972	40	10	followed	follow	VERB
aiti-13972	40	11	by	by	ADP
aiti-13972	40	12	a	a	DET
aiti-13972	40	13	comprehensive	comprehensive	ADJ
aiti-13972	40	14	analysis	analysis	NOUN
aiti-13972	40	15	.	.	PUNCT
aiti-13972	41	1	section	section	NOUN
aiti-13972	41	2	5	5	NUM
aiti-13972	41	3	offers	offer	VERB
aiti-13972	41	4	a	a	DET
aiti-13972	41	5	concise	concise	ADJ
aiti-13972	41	6	concluding	concluding	NOUN
aiti-13972	41	7	remark	remark	NOUN
aiti-13972	41	8	of	of	ADP
aiti-13972	41	9	the	the	DET
aiti-13972	41	10	study	study	NOUN
aiti-13972	41	11	with	with	ADP
aiti-13972	41	12	some	some	DET
aiti-13972	41	13	last	last	ADJ
aiti-13972	41	14	reflections	reflection	NOUN
aiti-13972	41	15	.	.	PUNCT
aiti-13972	42	1	2	2	X
aiti-13972	42	2	.	.	X
aiti-13972	42	3	related	relate	VERB
aiti-13972	42	4	work	work	NOUN
aiti-13972	42	5	this	this	DET
aiti-13972	42	6	section	section	NOUN
aiti-13972	42	7	summarizes	summarize	VERB
aiti-13972	42	8	the	the	DET
aiti-13972	42	9	methods	method	NOUN
aiti-13972	42	10	utilized	utilize	VERB
aiti-13972	42	11	for	for	ADP
aiti-13972	42	12	selecting	select	VERB
aiti-13972	42	13	features	feature	NOUN
aiti-13972	42	14	in	in	ADP
aiti-13972	42	15	the	the	DET
aiti-13972	42	16	heart	heart	NOUN
aiti-13972	42	17	disease	disease	NOUN
aiti-13972	42	18	dataset	dataset	VERB
aiti-13972	42	19	.	.	PUNCT
aiti-13972	43	1	(	(	PUNCT
aiti-13972	43	2	1	1	X
aiti-13972	43	3	)	)	PUNCT
aiti-13972	43	4	chi	chi	ADJ
aiti-13972	43	5	-	-	PUNCT
aiti-13972	43	6	square	square	NOUN
aiti-13972	43	7	algorithm	algorithm	NOUN
aiti-13972	43	8	:	:	PUNCT
aiti-13972	43	9	it	it	PRON
aiti-13972	43	10	is	be	AUX
aiti-13972	43	11	a	a	DET
aiti-13972	43	12	filter	filter	NOUN
aiti-13972	43	13	-	-	PUNCT
aiti-13972	43	14	based	base	VERB
aiti-13972	43	15	feature	feature	NOUN
aiti-13972	43	16	selection	selection	NOUN
aiti-13972	43	17	approach	approach	NOUN
aiti-13972	43	18	,	,	PUNCT
aiti-13972	43	19	which	which	PRON
aiti-13972	43	20	computes	compute	VERB
aiti-13972	43	21	the	the	DET
aiti-13972	43	22	chi	chi	NOUN
aiti-13972	43	23	-	-	PUNCT
aiti-13972	43	24	squared	square	VERB
aiti-13972	43	25	score	score	NOUN
aiti-13972	43	26	between	between	ADP
aiti-13972	43	27	each	each	DET
aiti-13972	43	28	attribute	attribute	NOUN
aiti-13972	43	29	and	and	CCONJ
aiti-13972	43	30	target	target	NOUN
aiti-13972	43	31	class	class	NOUN
aiti-13972	43	32	that	that	PRON
aiti-13972	43	33	measures	measure	VERB
aiti-13972	43	34	the	the	DET
aiti-13972	43	35	difference	difference	NOUN
aiti-13972	43	36	between	between	ADP
aiti-13972	43	37	observed	observed	ADJ
aiti-13972	43	38	and	and	CCONJ
aiti-13972	43	39	expected	expect	VERB
aiti-13972	43	40	values	value	NOUN
aiti-13972	43	41	.	.	PUNCT
aiti-13972	44	1	in	in	ADP
aiti-13972	44	2	addition	addition	NOUN
aiti-13972	44	3	,	,	PUNCT
aiti-13972	44	4	the	the	DET
aiti-13972	44	5	chi	chi	ADJ
aiti-13972	44	6	-	-	PUNCT
aiti-13972	44	7	square	square	ADJ
aiti-13972	44	8	algorithm	algorithm	NOUN
aiti-13972	44	9	measures	measure	VERB
aiti-13972	44	10	the	the	DET
aiti-13972	44	11	dependency	dependency	NOUN
aiti-13972	44	12	between	between	ADP
aiti-13972	44	13	the	the	DET
aiti-13972	44	14	categorical	categorical	ADJ
aiti-13972	44	15	input	input	NOUN
aiti-13972	44	16	feature	feature	NOUN
aiti-13972	44	17	and	and	CCONJ
aiti-13972	44	18	the	the	DET
aiti-13972	44	19	categorical	categorical	ADJ
aiti-13972	44	20	target	target	NOUN
aiti-13972	44	21	variable	variable	NOUN
aiti-13972	44	22	.	.	PUNCT
aiti-13972	45	1	features	feature	NOUN
aiti-13972	45	2	with	with	ADP
aiti-13972	45	3	high	high	ADJ
aiti-13972	45	4	chi	chi	ADJ
aiti-13972	45	5	-	-	PUNCT
aiti-13972	45	6	square	square	ADJ
aiti-13972	45	7	statistics	statistic	NOUN
aiti-13972	45	8	and	and	CCONJ
aiti-13972	45	9	low	low	ADJ
aiti-13972	45	10	p	p	NOUN
aiti-13972	45	11	-	-	PUNCT
aiti-13972	45	12	values	value	NOUN
aiti-13972	45	13	are	be	AUX
aiti-13972	45	14	considered	consider	VERB
aiti-13972	45	15	more	more	ADV
aiti-13972	45	16	relevant	relevant	ADJ
aiti-13972	45	17	to	to	ADP
aiti-13972	45	18	the	the	DET
aiti-13972	45	19	target	target	NOUN
aiti-13972	45	20	variable	variable	NOUN
aiti-13972	45	21	[	[	X
aiti-13972	45	22	8	8	NUM
aiti-13972	45	23	]	]	PUNCT
aiti-13972	45	24	.	.	PUNCT
aiti-13972	46	1	the	the	DET
aiti-13972	46	2	chi	chi	ADJ
aiti-13972	46	3	-	-	PUNCT
aiti-13972	46	4	square	square	ADJ
aiti-13972	46	5	value	value	NOUN
aiti-13972	46	6	is	be	AUX
aiti-13972	46	7	calculated	calculate	VERB
aiti-13972	46	8	for	for	ADP
aiti-13972	46	9	each	each	DET
aiti-13972	46	10	feature	feature	NOUN
aiti-13972	46	11	as	as	SCONJ
aiti-13972	46	12	shown	show	VERB
aiti-13972	46	13	below	below	ADP
aiti-13972	46	14	:	:	PUNCT
aiti-13972	46	15	(	(	PUNCT
aiti-13972	46	16	)	)	PUNCT
aiti-13972	46	17	2	2	NUM
aiti-13972	46	18	2	2	NUM
aiti-13972	46	19	−	−	NOUN
aiti-13972	46	20	=	=	PRON
aiti-13972	46	21			X
aiti-13972	46	22	o	o	NOUN
aiti-13972	46	23	e	e	X
aiti-13972	46	24	x	x	X
aiti-13972	46	25	e	e	X
aiti-13972	46	26	(	(	PUNCT
aiti-13972	46	27	1	1	NUM
aiti-13972	46	28	)	)	PUNCT
aiti-13972	46	29	where	where	SCONJ
aiti-13972	46	30	�	�	PROPN
aiti-13972	46	31	represents	represent	VERB
aiti-13972	46	32	the	the	DET
aiti-13972	46	33	observed	observe	VERB
aiti-13972	46	34	value	value	NOUN
aiti-13972	46	35	and	and	CCONJ
aiti-13972	46	36	�	�	PROPN
aiti-13972	46	37	denotes	denote	VERB
aiti-13972	46	38	the	the	DET
aiti-13972	46	39	expected	expect	VERB
aiti-13972	46	40	value	value	NOUN
aiti-13972	46	41	.	.	PUNCT
aiti-13972	47	1	(	(	PUNCT
aiti-13972	47	2	2	2	X
aiti-13972	47	3	)	)	PUNCT
aiti-13972	47	4	analysis	analysis	NOUN
aiti-13972	47	5	of	of	ADP
aiti-13972	47	6	variance	variance	NOUN
aiti-13972	47	7	(	(	PUNCT
aiti-13972	47	8	anova	anova	PROPN
aiti-13972	47	9	):	):	PUNCT
aiti-13972	47	10	it	it	PRON
aiti-13972	47	11	is	be	AUX
aiti-13972	47	12	a	a	DET
aiti-13972	47	13	statistical	statistical	ADJ
aiti-13972	47	14	method	method	NOUN
aiti-13972	47	15	used	use	VERB
aiti-13972	47	16	to	to	PART
aiti-13972	47	17	examine	examine	VERB
aiti-13972	47	18	the	the	DET
aiti-13972	47	19	differences	difference	NOUN
aiti-13972	47	20	in	in	ADP
aiti-13972	47	21	means	mean	NOUN
aiti-13972	47	22	among	among	ADP
aiti-13972	47	23	the	the	DET
aiti-13972	47	24	groups	group	NOUN
aiti-13972	47	25	.	.	PUNCT
aiti-13972	48	1	in	in	ADP
aiti-13972	48	2	feature	feature	NOUN
aiti-13972	48	3	selection	selection	NOUN
aiti-13972	48	4	,	,	PUNCT
aiti-13972	48	5	the	the	DET
aiti-13972	48	6	anova	anova	PROPN
aiti-13972	48	7	assesses	assess	VERB
aiti-13972	48	8	the	the	DET
aiti-13972	48	9	relationship	relationship	NOUN
aiti-13972	48	10	between	between	ADP
aiti-13972	48	11	continuous	continuous	ADJ
aiti-13972	48	12	input	input	NOUN
aiti-13972	48	13	features	feature	NOUN
aiti-13972	48	14	and	and	CCONJ
aiti-13972	48	15	a	a	DET
aiti-13972	48	16	categorical	categorical	ADJ
aiti-13972	48	17	target	target	NOUN
aiti-13972	48	18	variable	variable	NOUN
aiti-13972	48	19	.	.	PUNCT
aiti-13972	49	1	furthermore	furthermore	ADV
aiti-13972	49	2	,	,	PUNCT
aiti-13972	49	3	the	the	DET
aiti-13972	49	4	anova	anova	PROPN
aiti-13972	49	5	calculates	calculate	VERB
aiti-13972	49	6	the	the	DET
aiti-13972	49	7	f	f	NOUN
aiti-13972	49	8	-	-	PUNCT
aiti-13972	49	9	value	value	NOUN
aiti-13972	49	10	and	and	CCONJ
aiti-13972	49	11	associated	associate	VERB
aiti-13972	49	12	p	p	NOUN
aiti-13972	49	13	-	-	PUNCT
aiti-13972	49	14	value	value	NOUN
aiti-13972	49	15	for	for	ADP
aiti-13972	49	16	each	each	DET
aiti-13972	49	17	feature	feature	NOUN
aiti-13972	49	18	,	,	PUNCT
aiti-13972	49	19	indicating	indicate	VERB
aiti-13972	49	20	the	the	DET
aiti-13972	49	21	significance	significance	NOUN
aiti-13972	49	22	of	of	ADP
aiti-13972	49	23	the	the	DET
aiti-13972	49	24	feature	feature	NOUN
aiti-13972	49	25	’s	’s	PART
aiti-13972	49	26	effect	effect	NOUN
aiti-13972	49	27	on	on	ADP
aiti-13972	49	28	the	the	DET
aiti-13972	49	29	target	target	NOUN
aiti-13972	49	30	variable	variable	NOUN
aiti-13972	49	31	[	[	X
aiti-13972	49	32	9	9	NUM
aiti-13972	49	33	]	]	PUNCT
aiti-13972	49	34	.	.	PUNCT
aiti-13972	50	1	(	(	PUNCT
aiti-13972	50	2	3	3	X
aiti-13972	50	3	)	)	PUNCT
aiti-13972	50	4	forward	forward	ADJ
aiti-13972	50	5	selection	selection	NOUN
aiti-13972	50	6	algorithm	algorithm	NOUN
aiti-13972	50	7	(	(	PUNCT
aiti-13972	50	8	fsa	fsa	PROPN
aiti-13972	50	9	):	):	PUNCT
aiti-13972	50	10	it	it	PRON
aiti-13972	50	11	is	be	AUX
aiti-13972	50	12	a	a	DET
aiti-13972	50	13	wrapper	wrapper	NOUN
aiti-13972	50	14	technique	technique	NOUN
aiti-13972	50	15	that	that	PRON
aiti-13972	50	16	adds	add	VERB
aiti-13972	50	17	features	feature	NOUN
aiti-13972	50	18	to	to	ADP
aiti-13972	50	19	the	the	DET
aiti-13972	50	20	feature	feature	NOUN
aiti-13972	50	21	subset	subset	VERB
aiti-13972	50	22	incrementally	incrementally	ADV
aiti-13972	50	23	,	,	PUNCT
aiti-13972	50	24	one	one	NUM
aiti-13972	50	25	at	at	ADP
aiti-13972	50	26	a	a	DET
aiti-13972	50	27	time	time	NOUN
aiti-13972	50	28	.	.	PUNCT
aiti-13972	51	1	after	after	ADP
aiti-13972	51	2	assessing	assess	VERB
aiti-13972	51	3	the	the	DET
aiti-13972	51	4	performance	performance	NOUN
aiti-13972	51	5	of	of	ADP
aiti-13972	51	6	the	the	DET
aiti-13972	51	7	model	model	NOUN
aiti-13972	51	8	with	with	ADP
aiti-13972	51	9	the	the	DET
aiti-13972	51	10	new	new	ADJ
aiti-13972	51	11	feature	feature	NOUN
aiti-13972	51	12	,	,	PUNCT
aiti-13972	51	13	it	it	PRON
aiti-13972	51	14	chooses	choose	VERB
aiti-13972	51	15	the	the	DET
aiti-13972	51	16	top	top	ADV
aiti-13972	51	17	-	-	PUNCT
aiti-13972	51	18	performing	perform	VERB
aiti-13972	51	19	feature	feature	NOUN
aiti-13972	51	20	subset	subset	VERB
aiti-13972	51	21	at	at	ADP
aiti-13972	51	22	each	each	DET
aiti-13972	51	23	stage	stage	NOUN
aiti-13972	51	24	.	.	PUNCT
aiti-13972	52	1	this	this	DET
aiti-13972	52	2	procedure	procedure	NOUN
aiti-13972	52	3	is	be	AUX
aiti-13972	52	4	carried	carry	VERB
aiti-13972	52	5	out	out	ADP
aiti-13972	52	6	repeatedly	repeatedly	ADV
aiti-13972	52	7	until	until	SCONJ
aiti-13972	52	8	the	the	DET
aiti-13972	52	9	performance	performance	NOUN
aiti-13972	52	10	of	of	ADP
aiti-13972	52	11	the	the	DET
aiti-13972	52	12	model	model	NOUN
aiti-13972	52	13	evinces	evince	VERB
aiti-13972	52	14	no	no	DET
aiti-13972	52	15	further	further	ADJ
aiti-13972	52	16	signs	sign	NOUN
aiti-13972	52	17	of	of	ADP
aiti-13972	52	18	improvement	improvement	NOUN
aiti-13972	52	19	.	.	PUNCT
aiti-13972	53	1	when	when	SCONJ
aiti-13972	53	2	selecting	select	VERB
aiti-13972	53	3	a	a	DET
aiti-13972	53	4	subset	subset	NOUN
aiti-13972	53	5	of	of	ADP
aiti-13972	53	6	features	feature	NOUN
aiti-13972	53	7	with	with	ADP
aiti-13972	53	8	a	a	DET
aiti-13972	53	9	support	support	NOUN
aiti-13972	53	10	vector	vector	NOUN
aiti-13972	53	11	machine	machine	NOUN
aiti-13972	53	12	(	(	PUNCT
aiti-13972	53	13	svm	svm	PROPN
aiti-13972	53	14	)	)	PUNCT
aiti-13972	53	15	as	as	ADP
aiti-13972	53	16	the	the	DET
aiti-13972	53	17	learning	learning	NOUN
aiti-13972	53	18	algorithm	algorithm	NOUN
aiti-13972	53	19	,	,	PUNCT
aiti-13972	53	20	it	it	PRON
aiti-13972	53	21	is	be	AUX
aiti-13972	53	22	crucial	crucial	ADJ
aiti-13972	53	23	to	to	PART
aiti-13972	53	24	stratify	stratify	VERB
aiti-13972	53	25	the	the	DET
aiti-13972	53	26	data	datum	NOUN
aiti-13972	53	27	to	to	PART
aiti-13972	53	28	ensure	ensure	VERB
aiti-13972	53	29	that	that	SCONJ
aiti-13972	53	30	each	each	DET
aiti-13972	53	31	class	class	NOUN
aiti-13972	53	32	is	be	AUX
aiti-13972	53	33	adequately	adequately	ADV
aiti-13972	53	34	represented	represent	VERB
aiti-13972	53	35	[	[	PUNCT
aiti-13972	53	36	10	10	NUM
aiti-13972	53	37	]	]	PUNCT
aiti-13972	53	38	.	.	PUNCT
aiti-13972	54	1	advances	advance	NOUN
aiti-13972	54	2	in	in	ADP
aiti-13972	54	3	technology	technology	NOUN
aiti-13972	54	4	innovation	innovation	NOUN
aiti-13972	54	5	,	,	PUNCT
aiti-13972	54	6	vol	vol	NOUN
aiti-13972	54	7	.	.	PROPN
aiti-13972	55	1	9	9	NUM
aiti-13972	55	2	,	,	PUNCT
aiti-13972	55	3	no	no	INTJ
aiti-13972	55	4	.	.	NOUN
aiti-13972	55	5	4	4	NUM
aiti-13972	55	6	,	,	PUNCT
aiti-13972	55	7	2024	2024	NUM
aiti-13972	55	8	,	,	PUNCT
aiti-13972	55	9	pp	pp	ADV
aiti-13972	55	10	.	.	PUNCT
aiti-13972	56	1	319	319	NUM
aiti-13972	56	2	-	-	SYM
aiti-13972	56	3	331	331	NUM
aiti-13972	56	4	321	321	NUM
aiti-13972	56	5	(	(	PUNCT
aiti-13972	56	6	4	4	X
aiti-13972	56	7	)	)	PUNCT
aiti-13972	56	8	backward	backward	ADJ
aiti-13972	56	9	elimination	elimination	NOUN
aiti-13972	56	10	algorithm	algorithm	NOUN
aiti-13972	56	11	(	(	PUNCT
aiti-13972	56	12	bea	bea	PROPN
aiti-13972	56	13	):	):	PUNCT
aiti-13972	56	14	backward	backward	ADJ
aiti-13972	56	15	elimination	elimination	NOUN
aiti-13972	56	16	is	be	AUX
aiti-13972	56	17	a	a	DET
aiti-13972	56	18	different	different	ADJ
aiti-13972	56	19	wrapping	wrapping	NOUN
aiti-13972	56	20	strategy	strategy	NOUN
aiti-13972	56	21	that	that	PRON
aiti-13972	56	22	starts	start	VERB
aiti-13972	56	23	with	with	ADP
aiti-13972	56	24	the	the	DET
aiti-13972	56	25	entire	entire	ADJ
aiti-13972	56	26	feature	feature	NOUN
aiti-13972	56	27	set	set	VERB
aiti-13972	56	28	and	and	CCONJ
aiti-13972	56	29	removes	remove	VERB
aiti-13972	56	30	each	each	DET
aiti-13972	56	31	feature	feature	NOUN
aiti-13972	56	32	individually	individually	ADV
aiti-13972	56	33	.	.	PUNCT
aiti-13972	57	1	it	it	PRON
aiti-13972	57	2	chooses	choose	VERB
aiti-13972	57	3	the	the	DET
aiti-13972	57	4	top	top	ADV
aiti-13972	57	5	-	-	PUNCT
aiti-13972	57	6	performing	perform	VERB
aiti-13972	57	7	feature	feature	NOUN
aiti-13972	57	8	subset	subset	VERB
aiti-13972	57	9	at	at	ADP
aiti-13972	57	10	each	each	DET
aiti-13972	57	11	step	step	NOUN
aiti-13972	57	12	,	,	PUNCT
aiti-13972	57	13	by	by	ADP
aiti-13972	57	14	assessing	assess	VERB
aiti-13972	57	15	the	the	DET
aiti-13972	57	16	performance	performance	NOUN
aiti-13972	57	17	of	of	ADP
aiti-13972	57	18	the	the	DET
aiti-13972	57	19	model	model	NOUN
aiti-13972	57	20	with	with	ADP
aiti-13972	57	21	the	the	DET
aiti-13972	57	22	deleted	delete	VERB
aiti-13972	57	23	feature	feature	NOUN
aiti-13972	57	24	.	.	PUNCT
aiti-13972	58	1	this	this	DET
aiti-13972	58	2	process	process	NOUN
aiti-13972	58	3	continues	continue	VERB
aiti-13972	58	4	until	until	ADP
aiti-13972	58	5	further	further	ADJ
aiti-13972	58	6	removal	removal	NOUN
aiti-13972	58	7	of	of	ADP
aiti-13972	58	8	features	feature	NOUN
aiti-13972	58	9	results	result	NOUN
aiti-13972	58	10	in	in	ADP
aiti-13972	58	11	decreased	decrease	VERB
aiti-13972	58	12	model	model	NOUN
aiti-13972	58	13	performance	performance	NOUN
aiti-13972	58	14	[	[	X
aiti-13972	58	15	10	10	NUM
aiti-13972	58	16	]	]	PUNCT
aiti-13972	58	17	.	.	PUNCT
aiti-13972	59	1	(	(	PUNCT
aiti-13972	59	2	5	5	X
aiti-13972	59	3	)	)	PUNCT
aiti-13972	59	4	mutual	mutual	ADJ
aiti-13972	59	5	information	information	NOUN
aiti-13972	59	6	(	(	PUNCT
aiti-13972	59	7	mi	mi	NOUN
aiti-13972	59	8	):	):	PUNCT
aiti-13972	59	9	the	the	DET
aiti-13972	59	10	amount	amount	NOUN
aiti-13972	59	11	of	of	ADP
aiti-13972	59	12	knowledge	knowledge	NOUN
aiti-13972	59	13	about	about	ADP
aiti-13972	59	14	one	one	NUM
aiti-13972	59	15	variable	variable	NOUN
aiti-13972	59	16	learned	learn	VERB
aiti-13972	59	17	through	through	ADP
aiti-13972	59	18	the	the	DET
aiti-13972	59	19	other	other	ADJ
aiti-13972	59	20	variable	variable	NOUN
aiti-13972	59	21	is	be	AUX
aiti-13972	59	22	measured	measure	VERB
aiti-13972	59	23	by	by	ADP
aiti-13972	59	24	mi	mi	PROPN
aiti-13972	59	25	.	.	PROPN
aiti-13972	59	26	mi	mi	PROPN
aiti-13972	59	27	gauges	gauge	VERB
aiti-13972	59	28	the	the	DET
aiti-13972	59	29	degree	degree	NOUN
aiti-13972	59	30	of	of	ADP
aiti-13972	59	31	dependability	dependability	NOUN
aiti-13972	59	32	between	between	ADP
aiti-13972	59	33	the	the	DET
aiti-13972	59	34	target	target	NOUN
aiti-13972	59	35	variable	variable	NOUN
aiti-13972	59	36	and	and	CCONJ
aiti-13972	59	37	the	the	DET
aiti-13972	59	38	input	input	NOUN
aiti-13972	59	39	features	feature	VERB
aiti-13972	59	40	throughout	throughout	ADP
aiti-13972	59	41	the	the	DET
aiti-13972	59	42	feature	feature	NOUN
aiti-13972	59	43	selection	selection	NOUN
aiti-13972	59	44	process	process	NOUN
aiti-13972	59	45	.	.	PUNCT
aiti-13972	60	1	to	to	PART
aiti-13972	60	2	predict	predict	VERB
aiti-13972	60	3	the	the	DET
aiti-13972	60	4	target	target	NOUN
aiti-13972	60	5	variable	variable	NOUN
aiti-13972	60	6	,	,	PUNCT
aiti-13972	60	7	features	feature	VERB
aiti-13972	60	8	rendering	render	VERB
aiti-13972	60	9	high	high	ADJ
aiti-13972	60	10	mi	mi	PROPN
aiti-13972	60	11	values	value	NOUN
aiti-13972	60	12	are	be	AUX
aiti-13972	60	13	thought	think	VERB
aiti-13972	60	14	to	to	PART
aiti-13972	60	15	be	be	AUX
aiti-13972	60	16	more	more	ADV
aiti-13972	60	17	informative	informative	ADJ
aiti-13972	61	1	[	[	X
aiti-13972	61	2	11	11	NUM
aiti-13972	61	3	]	]	PUNCT
aiti-13972	61	4	.	.	PUNCT
aiti-13972	62	1	(	(	PUNCT
aiti-13972	62	2	6	6	X
aiti-13972	62	3	)	)	PUNCT
aiti-13972	62	4	l2	l2	NOUN
aiti-13972	62	5	regularization	regularization	NOUN
aiti-13972	62	6	ridge	ridge	NOUN
aiti-13972	62	7	regression	regression	NOUN
aiti-13972	62	8	(	(	PUNCT
aiti-13972	62	9	l2	l2	NOUN
aiti-13972	62	10	):	):	PUNCT
aiti-13972	62	11	l2	l2	NOUN
aiti-13972	62	12	is	be	AUX
aiti-13972	62	13	an	an	DET
aiti-13972	62	14	embedded	embed	VERB
aiti-13972	62	15	method	method	NOUN
aiti-13972	62	16	incorporating	incorporate	VERB
aiti-13972	62	17	feature	feature	NOUN
aiti-13972	62	18	selection	selection	NOUN
aiti-13972	62	19	within	within	ADP
aiti-13972	62	20	the	the	DET
aiti-13972	62	21	model	model	NOUN
aiti-13972	62	22	training	training	NOUN
aiti-13972	62	23	process	process	NOUN
aiti-13972	62	24	.	.	PUNCT
aiti-13972	63	1	the	the	DET
aiti-13972	63	2	conventional	conventional	ADJ
aiti-13972	63	3	regression	regression	NOUN
aiti-13972	63	4	objective	objective	ADJ
aiti-13972	63	5	function	function	NOUN
aiti-13972	63	6	is	be	AUX
aiti-13972	63	7	extended	extend	VERB
aiti-13972	63	8	with	with	ADP
aiti-13972	63	9	a	a	DET
aiti-13972	63	10	penalty	penalty	NOUN
aiti-13972	63	11	term	term	NOUN
aiti-13972	63	12	(	(	PUNCT
aiti-13972	63	13	l2	l2	NOUN
aiti-13972	63	14	regularization	regularization	NOUN
aiti-13972	63	15	)	)	PUNCT
aiti-13972	63	16	to	to	PART
aiti-13972	63	17	reduce	reduce	VERB
aiti-13972	63	18	the	the	DET
aiti-13972	63	19	coefficients	coefficient	NOUN
aiti-13972	63	20	of	of	ADP
aiti-13972	63	21	less	less	ADV
aiti-13972	63	22	significant	significant	ADJ
aiti-13972	63	23	characteristics	characteristic	NOUN
aiti-13972	63	24	to	to	ADP
aiti-13972	63	25	zero	zero	NUM
aiti-13972	63	26	.	.	PUNCT
aiti-13972	64	1	features	feature	NOUN
aiti-13972	64	2	with	with	ADP
aiti-13972	64	3	smaller	small	ADJ
aiti-13972	64	4	coefficients	coefficient	NOUN
aiti-13972	64	5	are	be	AUX
aiti-13972	64	6	effectively	effectively	ADV
aiti-13972	64	7	down	down	ADV
aiti-13972	64	8	-	-	PUNCT
aiti-13972	64	9	weighted	weight	VERB
aiti-13972	64	10	,	,	PUNCT
aiti-13972	64	11	leading	lead	VERB
aiti-13972	64	12	to	to	ADP
aiti-13972	64	13	automatic	automatic	ADJ
aiti-13972	64	14	feature	feature	NOUN
aiti-13972	64	15	selection	selection	NOUN
aiti-13972	64	16	during	during	ADP
aiti-13972	64	17	model	model	NOUN
aiti-13972	64	18	training	training	NOUN
aiti-13972	64	19	[	[	X
aiti-13972	64	20	12	12	NUM
aiti-13972	64	21	]	]	PUNCT
aiti-13972	64	22	.	.	PUNCT
aiti-13972	65	1	(	(	PUNCT
aiti-13972	65	2	7	7	X
aiti-13972	65	3	)	)	PUNCT
aiti-13972	65	4	particle	particle	NOUN
aiti-13972	65	5	swarm	swarm	NOUN
aiti-13972	65	6	optimization	optimization	NOUN
aiti-13972	65	7	(	(	PUNCT
aiti-13972	65	8	pso	pso	NOUN
aiti-13972	65	9	):	):	PUNCT
aiti-13972	65	10	it	it	PRON
aiti-13972	65	11	is	be	AUX
aiti-13972	65	12	a	a	DET
aiti-13972	65	13	population	population	NOUN
aiti-13972	65	14	-	-	PUNCT
aiti-13972	65	15	based	base	VERB
aiti-13972	65	16	stochastic	stochastic	ADJ
aiti-13972	65	17	optimization	optimization	NOUN
aiti-13972	65	18	method	method	NOUN
aiti-13972	65	19	that	that	PRON
aiti-13972	65	20	draws	draw	VERB
aiti-13972	65	21	inspiration	inspiration	NOUN
aiti-13972	65	22	from	from	ADP
aiti-13972	65	23	fish	fish	NOUN
aiti-13972	65	24	schools	school	NOUN
aiti-13972	65	25	and	and	CCONJ
aiti-13972	65	26	flocks	flock	NOUN
aiti-13972	65	27	of	of	ADP
aiti-13972	65	28	birds	bird	NOUN
aiti-13972	65	29	for	for	ADP
aiti-13972	65	30	their	their	PRON
aiti-13972	65	31	social	social	ADJ
aiti-13972	65	32	behaviors	behavior	NOUN
aiti-13972	65	33	.	.	PUNCT
aiti-13972	66	1	in	in	ADP
aiti-13972	66	2	feature	feature	NOUN
aiti-13972	66	3	selection	selection	NOUN
aiti-13972	66	4	,	,	PUNCT
aiti-13972	66	5	pso	pso	NOUN
aiti-13972	66	6	optimizes	optimize	VERB
aiti-13972	66	7	a	a	DET
aiti-13972	66	8	population	population	NOUN
aiti-13972	66	9	of	of	ADP
aiti-13972	66	10	candidate	candidate	NOUN
aiti-13972	66	11	feature	feature	NOUN
aiti-13972	66	12	subsets	subset	NOUN
aiti-13972	66	13	by	by	ADP
aiti-13972	66	14	repeatedly	repeatedly	ADV
aiti-13972	66	15	updating	update	VERB
aiti-13972	66	16	the	the	DET
aiti-13972	66	17	positions	position	NOUN
aiti-13972	66	18	of	of	ADP
aiti-13972	66	19	particles	particle	NOUN
aiti-13972	66	20	in	in	ADP
aiti-13972	66	21	the	the	DET
aiti-13972	66	22	search	search	NOUN
aiti-13972	66	23	space	space	NOUN
aiti-13972	66	24	.	.	PUNCT
aiti-13972	67	1	the	the	DET
aiti-13972	67	2	goal	goal	NOUN
aiti-13972	67	3	is	be	AUX
aiti-13972	67	4	to	to	PART
aiti-13972	67	5	identify	identify	VERB
aiti-13972	67	6	the	the	DET
aiti-13972	67	7	ideal	ideal	ADJ
aiti-13972	67	8	feature	feature	NOUN
aiti-13972	67	9	subset	subset	VERB
aiti-13972	67	10	that	that	SCONJ
aiti-13972	67	11	minimizes	minimize	VERB
aiti-13972	67	12	or	or	CCONJ
aiti-13972	67	13	maximizes	maximize	VERB
aiti-13972	67	14	some	some	DET
aiti-13972	67	15	objective	objective	ADJ
aiti-13972	67	16	function	function	NOUN
aiti-13972	67	17	,	,	PUNCT
aiti-13972	67	18	which	which	PRON
aiti-13972	67	19	tends	tend	VERB
aiti-13972	67	20	to	to	PART
aiti-13972	67	21	be	be	AUX
aiti-13972	67	22	pertinent	pertinent	ADJ
aiti-13972	67	23	to	to	ADP
aiti-13972	67	24	the	the	DET
aiti-13972	67	25	performance	performance	NOUN
aiti-13972	67	26	of	of	ADP
aiti-13972	67	27	the	the	DET
aiti-13972	67	28	model	model	NOUN
aiti-13972	67	29	[	[	X
aiti-13972	67	30	13	13	NUM
aiti-13972	67	31	]	]	PUNCT
aiti-13972	67	32	.	.	PUNCT
aiti-13972	68	1	(	(	PUNCT
aiti-13972	68	2	8)	8)	NUM
aiti-13972	68	3	ant	ant	ADJ
aiti-13972	68	4	colony	colony	NOUN
aiti-13972	68	5	optimization	optimization	NOUN
aiti-13972	68	6	(	(	PUNCT
aiti-13972	68	7	aco	aco	PROPN
aiti-13972	68	8	):	):	PUNCT
aiti-13972	68	9	it	it	PRON
aiti-13972	68	10	is	be	AUX
aiti-13972	68	11	a	a	DET
aiti-13972	68	12	metaheuristic	metaheuristic	ADJ
aiti-13972	68	13	optimization	optimization	NOUN
aiti-13972	68	14	method	method	NOUN
aiti-13972	68	15	that	that	PRON
aiti-13972	68	16	draws	draw	VERB
aiti-13972	68	17	inspiration	inspiration	NOUN
aiti-13972	68	18	from	from	ADP
aiti-13972	68	19	ants	ant	NOUN
aiti-13972	68	20	’	'	PUNCT
aiti-13972	68	21	foraging	forage	VERB
aiti-13972	68	22	habits	habit	NOUN
aiti-13972	68	23	.	.	PUNCT
aiti-13972	69	1	in	in	ADP
aiti-13972	69	2	feature	feature	NOUN
aiti-13972	69	3	selection	selection	NOUN
aiti-13972	69	4	,	,	PUNCT
aiti-13972	69	5	aco	aco	PROPN
aiti-13972	69	6	constructs	construct	VERB
aiti-13972	69	7	a	a	DET
aiti-13972	69	8	graph	graph	NOUN
aiti-13972	69	9	representation	representation	NOUN
aiti-13972	69	10	of	of	ADP
aiti-13972	69	11	the	the	DET
aiti-13972	69	12	feature	feature	NOUN
aiti-13972	69	13	space	space	NOUN
aiti-13972	69	14	,	,	PUNCT
aiti-13972	69	15	where	where	SCONJ
aiti-13972	69	16	features	feature	NOUN
aiti-13972	69	17	are	be	AUX
aiti-13972	69	18	nodes	node	NOUN
aiti-13972	69	19	and	and	CCONJ
aiti-13972	69	20	edges	edge	NOUN
aiti-13972	69	21	represent	represent	VERB
aiti-13972	69	22	the	the	DET
aiti-13972	69	23	interactions	interaction	NOUN
aiti-13972	69	24	between	between	ADP
aiti-13972	69	25	features	feature	NOUN
aiti-13972	69	26	.	.	PUNCT
aiti-13972	70	1	ants	ant	NOUN
aiti-13972	70	2	iteratively	iteratively	ADV
aiti-13972	70	3	build	build	VERB
aiti-13972	70	4	solutions	solution	NOUN
aiti-13972	70	5	by	by	ADP
aiti-13972	70	6	selecting	select	VERB
aiti-13972	70	7	features	feature	NOUN
aiti-13972	70	8	based	base	VERB
aiti-13972	70	9	on	on	ADP
aiti-13972	70	10	pheromone	pheromone	NOUN
aiti-13972	70	11	trails	trail	NOUN
aiti-13972	70	12	and	and	CCONJ
aiti-13972	70	13	heuristic	heuristic	ADJ
aiti-13972	70	14	information	information	NOUN
aiti-13972	70	15	to	to	PART
aiti-13972	70	16	find	find	VERB
aiti-13972	70	17	an	an	DET
aiti-13972	70	18	optimal	optimal	ADJ
aiti-13972	70	19	feature	feature	NOUN
aiti-13972	70	20	subset	subset	NOUN
aiti-13972	70	21	[	[	X
aiti-13972	70	22	13	13	NUM
aiti-13972	70	23	]	]	PUNCT
aiti-13972	70	24	.	.	PUNCT
aiti-13972	71	1	(	(	PUNCT
aiti-13972	71	2	9	9	X
aiti-13972	71	3	)	)	PUNCT
aiti-13972	71	4	hill	hill	NOUN
aiti-13972	71	5	climbing	climbing	NOUN
aiti-13972	71	6	(	(	PUNCT
aiti-13972	71	7	hc	hc	NOUN
aiti-13972	71	8	)	)	PUNCT
aiti-13972	71	9	algorithm	algorithm	NOUN
aiti-13972	71	10	:	:	PUNCT
aiti-13972	71	11	it	it	PRON
aiti-13972	71	12	is	be	AUX
aiti-13972	71	13	a	a	DET
aiti-13972	71	14	local	local	ADJ
aiti-13972	71	15	search	search	NOUN
aiti-13972	71	16	optimization	optimization	NOUN
aiti-13972	71	17	algorithm	algorithm	NOUN
aiti-13972	71	18	that	that	PRON
aiti-13972	71	19	iteratively	iteratively	ADV
aiti-13972	71	20	explores	explore	VERB
aiti-13972	71	21	the	the	DET
aiti-13972	71	22	neighboring	neighboring	NOUN
aiti-13972	71	23	solutions	solution	NOUN
aiti-13972	71	24	within	within	ADP
aiti-13972	71	25	the	the	DET
aiti-13972	71	26	search	search	NOUN
aiti-13972	71	27	space	space	NOUN
aiti-13972	71	28	.	.	PUNCT
aiti-13972	72	1	in	in	ADP
aiti-13972	72	2	feature	feature	NOUN
aiti-13972	72	3	selection	selection	NOUN
aiti-13972	72	4	,	,	PUNCT
aiti-13972	72	5	hc	hc	PROPN
aiti-13972	72	6	starts	start	VERB
aiti-13972	72	7	with	with	ADP
aiti-13972	72	8	an	an	DET
aiti-13972	72	9	initial	initial	ADJ
aiti-13972	72	10	feature	feature	NOUN
aiti-13972	72	11	subset	subset	NOUN
aiti-13972	72	12	and	and	CCONJ
aiti-13972	72	13	iteratively	iteratively	ADV
aiti-13972	72	14	modifies	modify	VERB
aiti-13972	72	15	it	it	PRON
aiti-13972	72	16	by	by	ADP
aiti-13972	72	17	evaluating	evaluate	VERB
aiti-13972	72	18	neighboring	neighbor	VERB
aiti-13972	72	19	feature	feature	NOUN
aiti-13972	72	20	subsets	subset	NOUN
aiti-13972	72	21	.	.	PUNCT
aiti-13972	73	1	subsequently	subsequently	ADV
aiti-13972	73	2	,	,	PUNCT
aiti-13972	73	3	it	it	PRON
aiti-13972	73	4	moves	move	VERB
aiti-13972	73	5	towards	towards	ADP
aiti-13972	73	6	the	the	DET
aiti-13972	73	7	neighboring	neighboring	NOUN
aiti-13972	73	8	solution	solution	NOUN
aiti-13972	73	9	that	that	PRON
aiti-13972	73	10	improves	improve	VERB
aiti-13972	73	11	the	the	DET
aiti-13972	73	12	objective	objective	ADJ
aiti-13972	73	13	function	function	NOUN
aiti-13972	73	14	(	(	PUNCT
aiti-13972	73	15	e.g.	e.g.	ADV
aiti-13972	73	16	,	,	PUNCT
aiti-13972	73	17	model	model	NOUN
aiti-13972	73	18	performance	performance	NOUN
aiti-13972	73	19	)	)	PUNCT
aiti-13972	73	20	,	,	PUNCT
aiti-13972	73	21	continuing	continue	VERB
aiti-13972	73	22	until	until	SCONJ
aiti-13972	73	23	no	no	DET
aiti-13972	73	24	further	further	ADJ
aiti-13972	73	25	improvement	improvement	NOUN
aiti-13972	73	26	is	be	AUX
aiti-13972	73	27	possible	possible	ADJ
aiti-13972	73	28	[	[	X
aiti-13972	73	29	14	14	NUM
aiti-13972	73	30	]	]	PUNCT
aiti-13972	73	31	.	.	PUNCT
aiti-13972	74	1	jabbar	jabbar	PROPN
aiti-13972	74	2	et	et	PROPN
aiti-13972	74	3	al	al	PROPN
aiti-13972	74	4	.	.	PUNCT
aiti-13972	75	1	[	[	X
aiti-13972	75	2	15	15	NUM
aiti-13972	75	3	]	]	PUNCT
aiti-13972	75	4	employed	employ	VERB
aiti-13972	75	5	feature	feature	NOUN
aiti-13972	75	6	selection	selection	NOUN
aiti-13972	75	7	using	use	VERB
aiti-13972	75	8	the	the	DET
aiti-13972	75	9	chi	chi	ADJ
aiti-13972	75	10	-	-	PUNCT
aiti-13972	75	11	square	square	ADJ
aiti-13972	75	12	method	method	NOUN
aiti-13972	75	13	on	on	ADP
aiti-13972	75	14	the	the	DET
aiti-13972	75	15	cleveland	cleveland	PROPN
aiti-13972	75	16	heart	heart	NOUN
aiti-13972	75	17	disease	disease	NOUN
aiti-13972	75	18	dataset	dataset	VERB
aiti-13972	75	19	.	.	PUNCT
aiti-13972	76	1	the	the	DET
aiti-13972	76	2	chi	chi	ADJ
aiti-13972	76	3	-	-	PUNCT
aiti-13972	76	4	square	square	ADJ
aiti-13972	76	5	method	method	NOUN
aiti-13972	76	6	is	be	AUX
aiti-13972	76	7	a	a	DET
aiti-13972	76	8	filter	filter	NOUN
aiti-13972	76	9	-	-	PUNCT
aiti-13972	76	10	based	base	VERB
aiti-13972	76	11	feature	feature	NOUN
aiti-13972	76	12	selection	selection	NOUN
aiti-13972	76	13	technique	technique	NOUN
aiti-13972	76	14	that	that	PRON
aiti-13972	76	15	assesses	assess	VERB
aiti-13972	76	16	the	the	DET
aiti-13972	76	17	relationship	relationship	NOUN
aiti-13972	76	18	between	between	ADP
aiti-13972	76	19	the	the	DET
aiti-13972	76	20	target	target	NOUN
aiti-13972	76	21	variable	variable	NOUN
aiti-13972	76	22	and	and	CCONJ
aiti-13972	76	23	each	each	DET
aiti-13972	76	24	feature	feature	NOUN
aiti-13972	76	25	using	use	VERB
aiti-13972	76	26	the	the	DET
aiti-13972	76	27	chi	chi	ADJ
aiti-13972	76	28	-	-	PUNCT
aiti-13972	76	29	square	square	ADJ
aiti-13972	76	30	statistic	statistic	NOUN
aiti-13972	76	31	.	.	PUNCT
aiti-13972	77	1	wiharto	wiharto	PROPN
aiti-13972	77	2	et	et	PROPN
aiti-13972	77	3	al	al	PROPN
aiti-13972	77	4	.	.	PUNCT
aiti-13972	78	1	[	[	X
aiti-13972	78	2	16	16	NUM
aiti-13972	78	3	]	]	PUNCT
aiti-13972	78	4	worked	work	VERB
aiti-13972	78	5	on	on	ADP
aiti-13972	78	6	the	the	DET
aiti-13972	78	7	cleveland	cleveland	PROPN
aiti-13972	78	8	dataset	dataset	VERB
aiti-13972	78	9	to	to	PART
aiti-13972	78	10	employ	employ	VERB
aiti-13972	78	11	feature	feature	NOUN
aiti-13972	78	12	selection	selection	NOUN
aiti-13972	78	13	methods	method	NOUN
aiti-13972	78	14	.	.	PUNCT
aiti-13972	79	1	specifically	specifically	ADV
aiti-13972	79	2	,	,	PUNCT
aiti-13972	79	3	they	they	PRON
aiti-13972	79	4	utilized	utilize	VERB
aiti-13972	79	5	the	the	DET
aiti-13972	79	6	information	information	NOUN
aiti-13972	79	7	gain	gain	VERB
aiti-13972	79	8	criterion	criterion	NOUN
aiti-13972	79	9	to	to	PART
aiti-13972	79	10	select	select	VERB
aiti-13972	79	11	features	feature	NOUN
aiti-13972	79	12	.	.	PUNCT
aiti-13972	80	1	in	in	ADP
aiti-13972	80	2	the	the	DET
aiti-13972	80	3	paper	paper	NOUN
aiti-13972	80	4	by	by	ADP
aiti-13972	80	5	haq	haq	PROPN
aiti-13972	80	6	et	et	PROPN
aiti-13972	80	7	al	al	PROPN
aiti-13972	80	8	.	.	PUNCT
aiti-13972	81	1	[	[	X
aiti-13972	81	2	17	17	NUM
aiti-13972	81	3	]	]	PUNCT
aiti-13972	81	4	,	,	PUNCT
aiti-13972	81	5	feature	feature	NOUN
aiti-13972	81	6	selection	selection	NOUN
aiti-13972	81	7	methods	method	NOUN
aiti-13972	81	8	were	be	AUX
aiti-13972	81	9	employed	employ	VERB
aiti-13972	81	10	on	on	ADP
aiti-13972	81	11	the	the	DET
aiti-13972	81	12	cleveland	cleveland	PROPN
aiti-13972	81	13	heart	heart	NOUN
aiti-13972	81	14	disease	disease	NOUN
aiti-13972	81	15	dataset	dataset	VERB
aiti-13972	81	16	.	.	PUNCT
aiti-13972	82	1	three	three	NUM
aiti-13972	82	2	specific	specific	ADJ
aiti-13972	82	3	techniques	technique	NOUN
aiti-13972	82	4	are	be	AUX
aiti-13972	82	5	utilized	utilize	VERB
aiti-13972	82	6	and	and	CCONJ
aiti-13972	82	7	listed	list	VERB
aiti-13972	82	8	as	as	SCONJ
aiti-13972	82	9	follows	follow	VERB
aiti-13972	82	10	:	:	PUNCT
aiti-13972	82	11	(	(	PUNCT
aiti-13972	82	12	1	1	X
aiti-13972	82	13	)	)	PUNCT
aiti-13972	82	14	minimal	minimal	ADJ
aiti-13972	82	15	-	-	PUNCT
aiti-13972	82	16	redundancy	redundancy	NOUN
aiti-13972	82	17	-	-	PUNCT
aiti-13972	82	18	maximal	maximal	ADJ
aiti-13972	82	19	-	-	PUNCT
aiti-13972	82	20	relevance	relevance	NOUN
aiti-13972	82	21	(	(	PUNCT
aiti-13972	82	22	mrmr	mrmr	X
aiti-13972	82	23	)	)	PUNCT
aiti-13972	82	24	opts	opt	VERB
aiti-13972	82	25	for	for	ADP
aiti-13972	82	26	the	the	DET
aiti-13972	82	27	features	feature	NOUN
aiti-13972	82	28	based	base	VERB
aiti-13972	82	29	on	on	ADP
aiti-13972	82	30	the	the	DET
aiti-13972	82	31	target	target	NOUN
aiti-13972	82	32	variable	variable	NOUN
aiti-13972	82	33	and	and	CCONJ
aiti-13972	82	34	degree	degree	NOUN
aiti-13972	82	35	of	of	ADP
aiti-13972	82	36	redundancy	redundancy	NOUN
aiti-13972	82	37	.	.	PUNCT
aiti-13972	83	1	it	it	PRON
aiti-13972	83	2	minimizes	minimize	VERB
aiti-13972	83	3	duplication	duplication	NOUN
aiti-13972	83	4	among	among	ADP
aiti-13972	83	5	chosen	choose	VERB
aiti-13972	83	6	characteristics	characteristic	NOUN
aiti-13972	83	7	while	while	SCONJ
aiti-13972	83	8	taking	take	VERB
aiti-13972	83	9	into	into	ADP
aiti-13972	83	10	account	account	NOUN
aiti-13972	83	11	the	the	DET
aiti-13972	83	12	mi	mi	PROPN
aiti-13972	83	13	between	between	ADP
aiti-13972	83	14	features	feature	NOUN
aiti-13972	83	15	and	and	CCONJ
aiti-13972	83	16	the	the	DET
aiti-13972	83	17	target	target	NOUN
aiti-13972	83	18	variable	variable	NOUN
aiti-13972	83	19	.	.	PUNCT
aiti-13972	84	1	(	(	PUNCT
aiti-13972	84	2	2	2	X
aiti-13972	84	3	)	)	PUNCT
aiti-13972	84	4	relief	relief	NOUN
aiti-13972	84	5	is	be	AUX
aiti-13972	84	6	a	a	DET
aiti-13972	84	7	method	method	NOUN
aiti-13972	84	8	for	for	ADP
aiti-13972	84	9	feature	feature	NOUN
aiti-13972	84	10	selection	selection	NOUN
aiti-13972	84	11	that	that	PRON
aiti-13972	84	12	ranks	rank	VERB
aiti-13972	84	13	features	feature	NOUN
aiti-13972	84	14	according	accord	VERB
aiti-13972	84	15	to	to	ADP
aiti-13972	84	16	the	the	DET
aiti-13972	84	17	differentiability	differentiability	NOUN
aiti-13972	84	18	between	between	ADP
aiti-13972	84	19	instances	instance	NOUN
aiti-13972	84	20	of	of	ADP
aiti-13972	84	21	various	various	ADJ
aiti-13972	84	22	classes	class	NOUN
aiti-13972	84	23	.	.	PUNCT
aiti-13972	85	1	it	it	PRON
aiti-13972	85	2	iteratively	iteratively	ADV
aiti-13972	85	3	updates	update	VERB
aiti-13972	85	4	feature	feature	VERB
aiti-13972	85	5	weights	weight	NOUN
aiti-13972	85	6	by	by	ADP
aiti-13972	85	7	comparing	compare	VERB
aiti-13972	85	8	nearest	near	ADJ
aiti-13972	85	9	neighbor	neighbor	NOUN
aiti-13972	85	10	instances	instance	NOUN
aiti-13972	85	11	belonging	belong	VERB
aiti-13972	85	12	to	to	ADP
aiti-13972	85	13	the	the	DET
aiti-13972	85	14	same	same	ADJ
aiti-13972	85	15	and	and	CCONJ
aiti-13972	85	16	different	different	ADJ
aiti-13972	85	17	classes	class	NOUN
aiti-13972	85	18	.	.	PUNCT
aiti-13972	86	1	(	(	PUNCT
aiti-13972	86	2	3	3	X
aiti-13972	86	3	)	)	PUNCT
aiti-13972	86	4	lasso	lasso	NOUN
aiti-13972	86	5	is	be	AUX
aiti-13972	86	6	a	a	DET
aiti-13972	86	7	method	method	NOUN
aiti-13972	86	8	of	of	ADP
aiti-13972	86	9	regression	regression	NOUN
aiti-13972	86	10	analysis	analysis	NOUN
aiti-13972	86	11	that	that	PRON
aiti-13972	86	12	enhances	enhance	VERB
aiti-13972	86	13	the	the	DET
aiti-13972	86	14	interpretability	interpretability	NOUN
aiti-13972	86	15	and	and	CCONJ
aiti-13972	86	16	prediction	prediction	NOUN
aiti-13972	86	17	accuracy	accuracy	NOUN
aiti-13972	86	18	of	of	ADP
aiti-13972	86	19	statistical	statistical	ADJ
aiti-13972	86	20	models	model	NOUN
aiti-13972	86	21	by	by	ADP
aiti-13972	86	22	performing	perform	VERB
aiti-13972	86	23	regularization	regularization	NOUN
aiti-13972	86	24	and	and	CCONJ
aiti-13972	86	25	variable	variable	ADJ
aiti-13972	86	26	selection	selection	NOUN
aiti-13972	86	27	.	.	PUNCT
aiti-13972	87	1	it	it	PRON
aiti-13972	87	2	penalizes	penalize	VERB
aiti-13972	87	3	the	the	DET
aiti-13972	87	4	absolute	absolute	ADJ
aiti-13972	87	5	size	size	NOUN
aiti-13972	87	6	of	of	ADP
aiti-13972	87	7	the	the	DET
aiti-13972	87	8	regression	regression	NOUN
aiti-13972	87	9	coefficients	coefficient	NOUN
aiti-13972	87	10	,	,	PUNCT
aiti-13972	87	11	encouraging	encourage	VERB
aiti-13972	87	12	sparse	sparse	ADJ
aiti-13972	87	13	solutions	solution	NOUN
aiti-13972	87	14	where	where	SCONJ
aiti-13972	87	15	irrelevant	irrelevant	ADJ
aiti-13972	87	16	features	feature	NOUN
aiti-13972	87	17	have	have	VERB
aiti-13972	87	18	zero	zero	NUM
aiti-13972	87	19	coefficients	coefficient	NOUN
aiti-13972	87	20	.	.	PUNCT
aiti-13972	88	1	these	these	DET
aiti-13972	88	2	selected	select	VERB
aiti-13972	88	3	features	feature	NOUN
aiti-13972	88	4	are	be	AUX
aiti-13972	88	5	used	use	VERB
aiti-13972	88	6	to	to	PART
aiti-13972	88	7	determine	determine	VERB
aiti-13972	88	8	a	a	DET
aiti-13972	88	9	subset	subset	NOUN
aiti-13972	88	10	of	of	ADP
aiti-13972	88	11	pertinent	pertinent	ADJ
aiti-13972	88	12	and	and	CCONJ
aiti-13972	88	13	useful	useful	ADJ
aiti-13972	88	14	characteristics	characteristic	NOUN
aiti-13972	88	15	for	for	ADP
aiti-13972	88	16	predicting	predict	VERB
aiti-13972	88	17	results	result	NOUN
aiti-13972	88	18	in	in	ADP
aiti-13972	88	19	heart	heart	NOUN
aiti-13972	88	20	disease	disease	NOUN
aiti-13972	88	21	.	.	PUNCT
aiti-13972	89	1	322	322	NUM
aiti-13972	89	2	advances	advance	NOUN
aiti-13972	89	3	in	in	ADP
aiti-13972	89	4	technology	technology	NOUN
aiti-13972	89	5	innovation	innovation	NOUN
aiti-13972	89	6	,	,	PUNCT
aiti-13972	89	7	vol	vol	NOUN
aiti-13972	89	8	.	.	PROPN
aiti-13972	89	9	9	9	NUM
aiti-13972	89	10	,	,	PUNCT
aiti-13972	89	11	no	no	INTJ
aiti-13972	89	12	.	.	NOUN
aiti-13972	89	13	4	4	NUM
aiti-13972	89	14	,	,	PUNCT
aiti-13972	89	15	2024	2024	NUM
aiti-13972	89	16	,	,	PUNCT
aiti-13972	89	17	pp	pp	ADV
aiti-13972	89	18	.	.	PUNCT
aiti-13972	90	1	319	319	NUM
aiti-13972	90	2	-	-	SYM
aiti-13972	90	3	331	331	NUM
aiti-13972	90	4	khourdifi	khourdifi	NOUN
aiti-13972	90	5	and	and	CCONJ
aiti-13972	90	6	bahaj	bahaj	PROPN
aiti-13972	91	1	[	[	X
aiti-13972	91	2	18	18	NUM
aiti-13972	91	3	]	]	PUNCT
aiti-13972	91	4	utilized	utilize	VERB
aiti-13972	91	5	the	the	DET
aiti-13972	91	6	cleveland	cleveland	PROPN
aiti-13972	91	7	dataset	dataset	VERB
aiti-13972	91	8	to	to	PART
aiti-13972	91	9	explore	explore	VERB
aiti-13972	91	10	feature	feature	NOUN
aiti-13972	91	11	selection	selection	NOUN
aiti-13972	91	12	methods	method	NOUN
aiti-13972	91	13	.	.	PUNCT
aiti-13972	92	1	specifically	specifically	ADV
aiti-13972	92	2	,	,	PUNCT
aiti-13972	92	3	they	they	PRON
aiti-13972	92	4	used	use	VERB
aiti-13972	92	5	the	the	DET
aiti-13972	92	6	feature	feature	NOUN
aiti-13972	92	7	selection	selection	NOUN
aiti-13972	92	8	method	method	NOUN
aiti-13972	92	9	as	as	ADP
aiti-13972	92	10	quick	quick	ADJ
aiti-13972	92	11	correlation	correlation	NOUN
aiti-13972	92	12	-	-	PUNCT
aiti-13972	92	13	based	base	VERB
aiti-13972	92	14	that	that	PRON
aiti-13972	92	15	is	be	AUX
aiti-13972	92	16	enhanced	enhance	VERB
aiti-13972	92	17	by	by	ADP
aiti-13972	92	18	ant	ant	ADJ
aiti-13972	92	19	colony	colony	NOUN
aiti-13972	92	20	and	and	CCONJ
aiti-13972	92	21	pso	pso	NOUN
aiti-13972	92	22	.	.	PUNCT
aiti-13972	93	1	this	this	DET
aiti-13972	93	2	approach	approach	NOUN
aiti-13972	93	3	is	be	AUX
aiti-13972	93	4	likely	likely	ADJ
aiti-13972	93	5	to	to	PART
aiti-13972	93	6	be	be	AUX
aiti-13972	93	7	involved	involve	VERB
aiti-13972	93	8	in	in	ADP
aiti-13972	93	9	leveraging	leverage	VERB
aiti-13972	93	10	correlations	correlation	NOUN
aiti-13972	93	11	between	between	ADP
aiti-13972	93	12	features	feature	NOUN
aiti-13972	93	13	and	and	CCONJ
aiti-13972	93	14	the	the	DET
aiti-13972	93	15	target	target	NOUN
aiti-13972	93	16	variable	variable	NOUN
aiti-13972	93	17	(	(	PUNCT
aiti-13972	93	18	heart	heart	NOUN
aiti-13972	93	19	disease	disease	NOUN
aiti-13972	93	20	diagnosis	diagnosis	NOUN
aiti-13972	93	21	)	)	PUNCT
aiti-13972	93	22	to	to	PART
aiti-13972	93	23	efficiently	efficiently	ADV
aiti-13972	93	24	select	select	VERB
aiti-13972	93	25	the	the	DET
aiti-13972	93	26	most	most	ADV
aiti-13972	93	27	relevant	relevant	ADJ
aiti-13972	93	28	features	feature	NOUN
aiti-13972	93	29	subset	subset	VERB
aiti-13972	93	30	.	.	PUNCT
aiti-13972	94	1	in	in	ADP
aiti-13972	94	2	the	the	DET
aiti-13972	94	3	paper	paper	NOUN
aiti-13972	94	4	by	by	ADP
aiti-13972	94	5	jain	jain	PROPN
aiti-13972	94	6	et	et	PROPN
aiti-13972	94	7	al	al	PROPN
aiti-13972	94	8	.	.	PUNCT
aiti-13972	95	1	[	[	X
aiti-13972	95	2	19	19	NUM
aiti-13972	95	3	]	]	PUNCT
aiti-13972	95	4	,	,	PUNCT
aiti-13972	95	5	the	the	DET
aiti-13972	95	6	feature	feature	NOUN
aiti-13972	95	7	selection	selection	NOUN
aiti-13972	95	8	method	method	NOUN
aiti-13972	95	9	,	,	PUNCT
aiti-13972	95	10	pso	pso	NOUN
aiti-13972	95	11	,	,	PUNCT
aiti-13972	95	12	is	be	AUX
aiti-13972	95	13	applied	apply	VERB
aiti-13972	95	14	to	to	ADP
aiti-13972	95	15	the	the	DET
aiti-13972	95	16	cleveland	cleveland	PROPN
aiti-13972	95	17	heart	heart	NOUN
aiti-13972	95	18	disease	disease	NOUN
aiti-13972	95	19	dataset	dataset	VERB
aiti-13972	95	20	.	.	PUNCT
aiti-13972	96	1	initially	initially	ADV
aiti-13972	96	2	,	,	PUNCT
aiti-13972	96	3	pso	pso	NOUN
aiti-13972	96	4	is	be	AUX
aiti-13972	96	5	a	a	DET
aiti-13972	96	6	metaheuristic	metaheuristic	ADJ
aiti-13972	96	7	optimization	optimization	NOUN
aiti-13972	96	8	method	method	NOUN
aiti-13972	96	9	that	that	PRON
aiti-13972	96	10	draws	draw	VERB
aiti-13972	96	11	inspiration	inspiration	NOUN
aiti-13972	96	12	from	from	ADP
aiti-13972	96	13	fish	fish	NOUN
aiti-13972	96	14	schools	school	NOUN
aiti-13972	96	15	and	and	CCONJ
aiti-13972	96	16	bird	bird	NOUN
aiti-13972	96	17	flocking	flocking	NOUN
aiti-13972	96	18	behavior	behavior	NOUN
aiti-13972	96	19	.	.	PUNCT
aiti-13972	97	1	it	it	PRON
aiti-13972	97	2	entails	entail	VERB
aiti-13972	97	3	updating	update	VERB
aiti-13972	97	4	a	a	DET
aiti-13972	97	5	population	population	NOUN
aiti-13972	97	6	of	of	ADP
aiti-13972	97	7	potential	potential	ADJ
aiti-13972	97	8	solutions	solution	NOUN
aiti-13972	97	9	(	(	PUNCT
aiti-13972	97	10	particles	particle	NOUN
aiti-13972	97	11	)	)	PUNCT
aiti-13972	97	12	iteratively	iteratively	ADV
aiti-13972	97	13	according	accord	VERB
aiti-13972	97	14	to	to	ADP
aiti-13972	97	15	both	both	CCONJ
aiti-13972	97	16	the	the	DET
aiti-13972	97	17	global	global	ADJ
aiti-13972	97	18	and	and	CCONJ
aiti-13972	97	19	personal	personal	ADJ
aiti-13972	97	20	best	well	ADV
aiti-13972	97	21	-	-	PUNCT
aiti-13972	97	22	known	know	VERB
aiti-13972	97	23	positions	position	NOUN
aiti-13972	97	24	.	.	PUNCT
aiti-13972	98	1	ali	ali	PROPN
aiti-13972	98	2	et	et	PROPN
aiti-13972	98	3	al	al	PROPN
aiti-13972	98	4	.	.	PUNCT
aiti-13972	99	1	[	[	X
aiti-13972	99	2	20	20	NUM
aiti-13972	99	3	]	]	PUNCT
aiti-13972	99	4	employed	employ	VERB
aiti-13972	99	5	the	the	DET
aiti-13972	99	6	chi	chi	ADJ
aiti-13972	99	7	-	-	PUNCT
aiti-13972	99	8	square	square	ADJ
aiti-13972	99	9	method	method	NOUN
aiti-13972	99	10	as	as	ADP
aiti-13972	99	11	a	a	DET
aiti-13972	99	12	filter	filter	NOUN
aiti-13972	99	13	-	-	PUNCT
aiti-13972	99	14	based	base	VERB
aiti-13972	99	15	feature	feature	NOUN
aiti-13972	99	16	selection	selection	NOUN
aiti-13972	99	17	technique	technique	NOUN
aiti-13972	99	18	to	to	PART
aiti-13972	99	19	enhance	enhance	VERB
aiti-13972	99	20	the	the	DET
aiti-13972	99	21	predictive	predictive	ADJ
aiti-13972	99	22	performance	performance	NOUN
aiti-13972	99	23	of	of	ADP
aiti-13972	99	24	models	model	NOUN
aiti-13972	99	25	on	on	ADP
aiti-13972	99	26	the	the	DET
aiti-13972	99	27	cleveland	cleveland	PROPN
aiti-13972	99	28	heart	heart	NOUN
aiti-13972	99	29	disease	disease	NOUN
aiti-13972	99	30	dataset	dataset	VERB
aiti-13972	99	31	.	.	PUNCT
aiti-13972	100	1	the	the	DET
aiti-13972	100	2	paper	paper	NOUN
aiti-13972	100	3	by	by	ADP
aiti-13972	100	4	abdar	abdar	PROPN
aiti-13972	100	5	et	et	PROPN
aiti-13972	100	6	al	al	PROPN
aiti-13972	100	7	.	.	PUNCT
aiti-13972	101	1	[	[	X
aiti-13972	101	2	21	21	NUM
aiti-13972	101	3	]	]	PUNCT
aiti-13972	101	4	focuses	focus	VERB
aiti-13972	101	5	on	on	ADP
aiti-13972	101	6	feature	feature	NOUN
aiti-13972	101	7	selection	selection	NOUN
aiti-13972	101	8	methods	method	NOUN
aiti-13972	101	9	applied	apply	VERB
aiti-13972	101	10	to	to	ADP
aiti-13972	101	11	the	the	DET
aiti-13972	101	12	dataset	dataset	NOUN
aiti-13972	101	13	by	by	ADP
aiti-13972	101	14	z	z	NOUN
aiti-13972	101	15	-	-	PUNCT
aiti-13972	101	16	alizadeh	alizadeh	NOUN
aiti-13972	101	17	sani	sani	NOUN
aiti-13972	101	18	using	use	VERB
aiti-13972	101	19	genetic	genetic	ADJ
aiti-13972	101	20	algorithm	algorithm	NOUN
aiti-13972	101	21	(	(	PUNCT
aiti-13972	101	22	ga	ga	NOUN
aiti-13972	101	23	)	)	PUNCT
aiti-13972	101	24	and	and	CCONJ
aiti-13972	101	25	pso	pso	NOUN
aiti-13972	101	26	.	.	PUNCT
aiti-13972	102	1	these	these	DET
aiti-13972	102	2	optimization	optimization	NOUN
aiti-13972	102	3	algorithms	algorithm	NOUN
aiti-13972	102	4	are	be	AUX
aiti-13972	102	5	utilized	utilize	VERB
aiti-13972	102	6	to	to	PART
aiti-13972	102	7	identify	identify	VERB
aiti-13972	102	8	the	the	DET
aiti-13972	102	9	most	most	ADV
aiti-13972	102	10	relevant	relevant	ADJ
aiti-13972	102	11	features	feature	NOUN
aiti-13972	102	12	within	within	ADP
aiti-13972	102	13	the	the	DET
aiti-13972	102	14	dataset	dataset	NOUN
aiti-13972	102	15	for	for	ADP
aiti-13972	102	16	improved	improved	ADJ
aiti-13972	102	17	classification	classification	NOUN
aiti-13972	102	18	performance	performance	NOUN
aiti-13972	102	19	.	.	PUNCT
aiti-13972	103	1	the	the	DET
aiti-13972	103	2	ga	ga	PROPN
aiti-13972	103	3	mimics	mimic	VERB
aiti-13972	103	4	natural	natural	ADJ
aiti-13972	103	5	selection	selection	NOUN
aiti-13972	103	6	processes	process	NOUN
aiti-13972	103	7	by	by	ADP
aiti-13972	103	8	iteratively	iteratively	ADV
aiti-13972	103	9	creating	create	VERB
aiti-13972	103	10	a	a	DET
aiti-13972	103	11	population	population	NOUN
aiti-13972	103	12	of	of	ADP
aiti-13972	103	13	viable	viable	ADJ
aiti-13972	103	14	solutions	solution	NOUN
aiti-13972	103	15	through	through	ADP
aiti-13972	103	16	crossover	crossover	NOUN
aiti-13972	103	17	,	,	PUNCT
aiti-13972	103	18	mutation	mutation	NOUN
aiti-13972	103	19	,	,	PUNCT
aiti-13972	103	20	and	and	CCONJ
aiti-13972	103	21	selection	selection	NOUN
aiti-13972	103	22	processes	process	NOUN
aiti-13972	103	23	.	.	PUNCT
aiti-13972	104	1	in	in	ADP
aiti-13972	104	2	contrast	contrast	NOUN
aiti-13972	104	3	,	,	PUNCT
aiti-13972	104	4	pso	pso	NOUN
aiti-13972	104	5	models	model	NOUN
aiti-13972	104	6	the	the	DET
aiti-13972	104	7	behavior	behavior	NOUN
aiti-13972	104	8	of	of	ADP
aiti-13972	104	9	particles	particle	NOUN
aiti-13972	104	10	within	within	ADP
aiti-13972	104	11	a	a	DET
aiti-13972	104	12	search	search	NOUN
aiti-13972	104	13	space	space	NOUN
aiti-13972	104	14	by	by	ADP
aiti-13972	104	15	continuously	continuously	ADV
aiti-13972	104	16	updating	update	VERB
aiti-13972	104	17	their	their	PRON
aiti-13972	104	18	positions	position	NOUN
aiti-13972	104	19	based	base	VERB
aiti-13972	104	20	on	on	ADP
aiti-13972	104	21	both	both	CCONJ
aiti-13972	104	22	individual	individual	ADJ
aiti-13972	104	23	and	and	CCONJ
aiti-13972	104	24	collective	collective	ADJ
aiti-13972	104	25	best	good	ADJ
aiti-13972	104	26	solutions	solution	NOUN
aiti-13972	104	27	.	.	PUNCT
aiti-13972	105	1	in	in	ADP
aiti-13972	105	2	the	the	DET
aiti-13972	105	3	paper	paper	NOUN
aiti-13972	105	4	by	by	ADP
aiti-13972	105	5	amin	amin	PROPN
aiti-13972	105	6	et	et	PROPN
aiti-13972	105	7	al	al	PROPN
aiti-13972	105	8	.	.	PUNCT
aiti-13972	106	1	[	[	X
aiti-13972	106	2	22	22	NUM
aiti-13972	106	3	]	]	PUNCT
aiti-13972	106	4	,	,	PUNCT
aiti-13972	106	5	a	a	DET
aiti-13972	106	6	feature	feature	NOUN
aiti-13972	106	7	selection	selection	NOUN
aiti-13972	106	8	method	method	NOUN
aiti-13972	106	9	,	,	PUNCT
aiti-13972	106	10	which	which	PRON
aiti-13972	106	11	is	be	AUX
aiti-13972	106	12	known	know	VERB
aiti-13972	106	13	as	as	ADP
aiti-13972	106	14	the	the	DET
aiti-13972	106	15	brute	brute	ADJ
aiti-13972	106	16	force	force	NOUN
aiti-13972	106	17	method	method	NOUN
aiti-13972	106	18	was	be	AUX
aiti-13972	106	19	employed	employ	VERB
aiti-13972	106	20	on	on	ADP
aiti-13972	106	21	the	the	DET
aiti-13972	106	22	cleveland	cleveland	PROPN
aiti-13972	106	23	dataset	dataset	PROPN
aiti-13972	106	24	.	.	PUNCT
aiti-13972	107	1	this	this	DET
aiti-13972	107	2	method	method	NOUN
aiti-13972	107	3	encompasses	encompass	VERB
aiti-13972	107	4	exhaustively	exhaustively	ADV
aiti-13972	107	5	evaluating	evaluate	VERB
aiti-13972	107	6	all	all	DET
aiti-13972	107	7	possible	possible	ADJ
aiti-13972	107	8	feature	feature	NOUN
aiti-13972	107	9	subsets	subset	NOUN
aiti-13972	107	10	to	to	PART
aiti-13972	107	11	determine	determine	VERB
aiti-13972	107	12	the	the	DET
aiti-13972	107	13	optimal	optimal	ADJ
aiti-13972	107	14	combination	combination	NOUN
aiti-13972	107	15	for	for	ADP
aiti-13972	107	16	the	the	DET
aiti-13972	107	17	given	give	VERB
aiti-13972	107	18	dataset	dataset	NOUN
aiti-13972	107	19	and	and	CCONJ
aiti-13972	107	20	classification	classification	NOUN
aiti-13972	107	21	task	task	NOUN
aiti-13972	107	22	.	.	PUNCT
aiti-13972	108	1	by	by	ADP
aiti-13972	108	2	systematically	systematically	ADV
aiti-13972	108	3	testing	test	VERB
aiti-13972	108	4	every	every	DET
aiti-13972	108	5	feature	feature	NOUN
aiti-13972	108	6	subset	subset	NOUN
aiti-13972	108	7	,	,	PUNCT
aiti-13972	108	8	the	the	DET
aiti-13972	108	9	brute	brute	ADJ
aiti-13972	108	10	force	force	NOUN
aiti-13972	108	11	method	method	NOUN
aiti-13972	108	12	ensures	ensure	VERB
aiti-13972	108	13	that	that	SCONJ
aiti-13972	108	14	the	the	DET
aiti-13972	108	15	most	most	ADV
aiti-13972	108	16	relevant	relevant	ADJ
aiti-13972	108	17	features	feature	NOUN
aiti-13972	108	18	are	be	AUX
aiti-13972	108	19	selected	select	VERB
aiti-13972	108	20	,	,	PUNCT
aiti-13972	108	21	potentially	potentially	ADV
aiti-13972	108	22	improving	improve	VERB
aiti-13972	108	23	the	the	DET
aiti-13972	108	24	accuracy	accuracy	NOUN
aiti-13972	108	25	and	and	CCONJ
aiti-13972	108	26	efficiency	efficiency	NOUN
aiti-13972	108	27	of	of	ADP
aiti-13972	108	28	the	the	DET
aiti-13972	108	29	classification	classification	NOUN
aiti-13972	108	30	model	model	NOUN
aiti-13972	108	31	.	.	PUNCT
aiti-13972	109	1	notably	notably	ADV
aiti-13972	109	2	,	,	PUNCT
aiti-13972	109	3	this	this	DET
aiti-13972	109	4	method	method	NOUN
aiti-13972	109	5	might	might	AUX
aiti-13972	109	6	be	be	AUX
aiti-13972	109	7	computationally	computationally	ADV
aiti-13972	109	8	demanding	demanding	ADJ
aiti-13972	109	9	,	,	PUNCT
aiti-13972	109	10	especially	especially	ADV
aiti-13972	109	11	for	for	ADP
aiti-13972	109	12	datasets	dataset	NOUN
aiti-13972	109	13	having	have	VERB
aiti-13972	109	14	more	more	ADJ
aiti-13972	109	15	number	number	NOUN
aiti-13972	109	16	of	of	ADP
aiti-13972	109	17	features	feature	NOUN
aiti-13972	109	18	.	.	PUNCT
aiti-13972	110	1	notwithstanding	notwithstanding	ADP
aiti-13972	110	2	its	its	PRON
aiti-13972	110	3	computational	computational	ADJ
aiti-13972	110	4	demands	demand	NOUN
aiti-13972	110	5	,	,	PUNCT
aiti-13972	110	6	the	the	DET
aiti-13972	110	7	brute	brute	ADJ
aiti-13972	110	8	force	force	NOUN
aiti-13972	110	9	method	method	NOUN
aiti-13972	110	10	offers	offer	VERB
aiti-13972	110	11	a	a	DET
aiti-13972	110	12	rigorous	rigorous	ADJ
aiti-13972	110	13	and	and	CCONJ
aiti-13972	110	14	comprehensive	comprehensive	ADJ
aiti-13972	110	15	approach	approach	NOUN
aiti-13972	110	16	to	to	ADP
aiti-13972	110	17	feature	feature	NOUN
aiti-13972	110	18	selection	selection	NOUN
aiti-13972	110	19	,	,	PUNCT
aiti-13972	110	20	it	it	PRON
aiti-13972	110	21	may	may	AUX
aiti-13972	110	22	be	be	AUX
aiti-13972	110	23	precious	precious	ADJ
aiti-13972	110	24	in	in	ADP
aiti-13972	110	25	domains	domain	NOUN
aiti-13972	110	26	where	where	SCONJ
aiti-13972	110	27	accuracy	accuracy	NOUN
aiti-13972	110	28	is	be	AUX
aiti-13972	110	29	paramount	paramount	ADJ
aiti-13972	110	30	,	,	PUNCT
aiti-13972	110	31	such	such	ADJ
aiti-13972	110	32	as	as	ADP
aiti-13972	110	33	medical	medical	ADJ
aiti-13972	110	34	diagnostics	diagnostic	NOUN
aiti-13972	110	35	.	.	PUNCT
aiti-13972	111	1	the	the	DET
aiti-13972	111	2	authors	author	NOUN
aiti-13972	111	3	,	,	PUNCT
aiti-13972	111	4	gárate	gárate	NOUN
aiti-13972	111	5	-	-	PUNCT
aiti-13972	111	6	escamila	escamila	NOUN
aiti-13972	111	7	et	et	PROPN
aiti-13972	111	8	al	al	PROPN
aiti-13972	111	9	.	.	PUNCT
aiti-13972	112	1	[	[	X
aiti-13972	112	2	8	8	NUM
aiti-13972	112	3	]	]	PUNCT
aiti-13972	112	4	,	,	PUNCT
aiti-13972	112	5	employed	employ	VERB
aiti-13972	112	6	two	two	NUM
aiti-13972	112	7	feature	feature	NOUN
aiti-13972	112	8	selection	selection	NOUN
aiti-13972	112	9	methods	method	NOUN
aiti-13972	112	10	in	in	ADP
aiti-13972	112	11	their	their	PRON
aiti-13972	112	12	work	work	NOUN
aiti-13972	112	13	on	on	ADP
aiti-13972	112	14	the	the	DET
aiti-13972	112	15	cleveland	cleveland	PROPN
aiti-13972	112	16	and	and	CCONJ
aiti-13972	112	17	hungarian	hungarian	ADJ
aiti-13972	112	18	heart	heart	NOUN
aiti-13972	112	19	disease	disease	NOUN
aiti-13972	112	20	datasets	dataset	NOUN
aiti-13972	112	21	,	,	PUNCT
aiti-13972	112	22	i.e.	i.e.	X
aiti-13972	112	23	,	,	PUNCT
aiti-13972	112	24	chi	chi	ADJ
aiti-13972	112	25	-	-	PUNCT
aiti-13972	112	26	square	square	ADJ
aiti-13972	112	27	and	and	CCONJ
aiti-13972	112	28	principal	principal	ADJ
aiti-13972	112	29	component	component	NOUN
aiti-13972	112	30	analysis	analysis	NOUN
aiti-13972	112	31	(	(	PUNCT
aiti-13972	112	32	pca	pca	NOUN
aiti-13972	112	33	)	)	PUNCT
aiti-13972	112	34	.	.	PUNCT
aiti-13972	113	1	to	to	PART
aiti-13972	113	2	evaluate	evaluate	VERB
aiti-13972	113	3	the	the	DET
aiti-13972	113	4	significance	significance	NOUN
aiti-13972	113	5	of	of	ADP
aiti-13972	113	6	categorical	categorical	ADJ
aiti-13972	113	7	features	feature	NOUN
aiti-13972	113	8	containing	contain	VERB
aiti-13972	113	9	the	the	DET
aiti-13972	113	10	target	target	NOUN
aiti-13972	113	11	variable	variable	NOUN
aiti-13972	113	12	,	,	PUNCT
aiti-13972	113	13	they	they	PRON
aiti-13972	113	14	used	use	VERB
aiti-13972	113	15	chi	chi	NOUN
aiti-13972	113	16	-	-	PUNCT
aiti-13972	113	17	square	square	NOUN
aiti-13972	113	18	.	.	PUNCT
aiti-13972	114	1	the	the	DET
aiti-13972	114	2	datasets	dataset	NOUN
aiti-13972	114	3	are	be	AUX
aiti-13972	114	4	made	make	VERB
aiti-13972	114	5	less	less	ADV
aiti-13972	114	6	dimensional	dimensional	ADJ
aiti-13972	114	7	by	by	ADP
aiti-13972	114	8	using	use	VERB
aiti-13972	114	9	pca	pca	PROPN
aiti-13972	114	10	,	,	PUNCT
aiti-13972	114	11	enabling	enable	VERB
aiti-13972	114	12	the	the	DET
aiti-13972	114	13	efficient	efficient	ADJ
aiti-13972	114	14	capture	capture	NOUN
aiti-13972	114	15	of	of	ADP
aiti-13972	114	16	the	the	DET
aiti-13972	114	17	most	most	ADV
aiti-13972	114	18	relevant	relevant	ADJ
aiti-13972	114	19	characteristics	characteristic	NOUN
aiti-13972	114	20	in	in	ADP
aiti-13972	114	21	a	a	DET
aiti-13972	114	22	lower	lower	ADV
aiti-13972	114	23	-	-	PUNCT
aiti-13972	114	24	dimensional	dimensional	ADJ
aiti-13972	114	25	space	space	NOUN
aiti-13972	114	26	.	.	PUNCT
aiti-13972	115	1	these	these	DET
aiti-13972	115	2	feature	feature	NOUN
aiti-13972	115	3	selection	selection	NOUN
aiti-13972	115	4	methods	method	NOUN
aiti-13972	115	5	are	be	AUX
aiti-13972	115	6	applied	apply	VERB
aiti-13972	115	7	to	to	ADP
aiti-13972	115	8	the	the	DET
aiti-13972	115	9	cleveland	cleveland	PROPN
aiti-13972	115	10	and	and	CCONJ
aiti-13972	115	11	hungarian	hungarian	ADJ
aiti-13972	115	12	heart	heart	NOUN
aiti-13972	115	13	disease	disease	NOUN
aiti-13972	115	14	datasets	dataset	NOUN
aiti-13972	115	15	in	in	ADP
aiti-13972	115	16	their	their	PRON
aiti-13972	115	17	study	study	NOUN
aiti-13972	115	18	.	.	PUNCT
aiti-13972	116	1	the	the	DET
aiti-13972	116	2	paper	paper	NOUN
aiti-13972	116	3	by	by	ADP
aiti-13972	116	4	theerthagiri	theerthagiri	PROPN
aiti-13972	116	5	and	and	CCONJ
aiti-13972	116	6	vidya	vidya	NOUN
aiti-13972	117	1	[	[	X
aiti-13972	117	2	23	23	NUM
aiti-13972	117	3	]	]	PUNCT
aiti-13972	117	4	focused	focus	VERB
aiti-13972	117	5	on	on	ADP
aiti-13972	117	6	methods	method	NOUN
aiti-13972	117	7	for	for	ADP
aiti-13972	117	8	feature	feature	NOUN
aiti-13972	117	9	selection	selection	NOUN
aiti-13972	117	10	applied	apply	VERB
aiti-13972	117	11	to	to	ADP
aiti-13972	117	12	a	a	DET
aiti-13972	117	13	heart	heart	NOUN
aiti-13972	117	14	disease	disease	NOUN
aiti-13972	117	15	dataset	dataset	VERB
aiti-13972	117	16	.	.	PUNCT
aiti-13972	118	1	specifically	specifically	ADV
aiti-13972	118	2	,	,	PUNCT
aiti-13972	118	3	the	the	DET
aiti-13972	118	4	paper	paper	NOUN
aiti-13972	118	5	employed	employ	VERB
aiti-13972	118	6	rfe	rfe	PROPN
aiti-13972	118	7	as	as	ADP
aiti-13972	118	8	the	the	DET
aiti-13972	118	9	feature	feature	NOUN
aiti-13972	118	10	selection	selection	NOUN
aiti-13972	118	11	technique	technique	NOUN
aiti-13972	118	12	.	.	PUNCT
aiti-13972	119	1	rfe	rfe	NOUN
aiti-13972	119	2	is	be	AUX
aiti-13972	119	3	a	a	DET
aiti-13972	119	4	wrapper	wrapper	NOUN
aiti-13972	119	5	method	method	NOUN
aiti-13972	119	6	that	that	PRON
aiti-13972	119	7	iteratively	iteratively	ADV
aiti-13972	119	8	selects	select	VERB
aiti-13972	119	9	subsets	subset	NOUN
aiti-13972	119	10	of	of	ADP
aiti-13972	119	11	features	feature	NOUN
aiti-13972	119	12	by	by	ADP
aiti-13972	119	13	training	train	VERB
aiti-13972	119	14	the	the	DET
aiti-13972	119	15	model	model	NOUN
aiti-13972	119	16	multiple	multiple	ADJ
aiti-13972	119	17	times	time	NOUN
aiti-13972	119	18	and	and	CCONJ
aiti-13972	119	19	eliminating	eliminate	VERB
aiti-13972	119	20	insignificant	insignificant	ADJ
aiti-13972	119	21	features	feature	NOUN
aiti-13972	119	22	in	in	ADP
aiti-13972	119	23	each	each	DET
aiti-13972	119	24	iteration	iteration	NOUN
aiti-13972	119	25	.	.	PUNCT
aiti-13972	120	1	this	this	DET
aiti-13972	120	2	method	method	NOUN
aiti-13972	120	3	continues	continue	VERB
aiti-13972	120	4	until	until	SCONJ
aiti-13972	120	5	the	the	DET
aiti-13972	120	6	target	target	NOUN
aiti-13972	120	7	number	number	NOUN
aiti-13972	120	8	of	of	ADP
aiti-13972	120	9	features	feature	NOUN
aiti-13972	120	10	is	be	AUX
aiti-13972	120	11	obtained	obtain	VERB
aiti-13972	120	12	or	or	CCONJ
aiti-13972	120	13	until	until	SCONJ
aiti-13972	120	14	a	a	DET
aiti-13972	120	15	predetermined	predetermine	VERB
aiti-13972	120	16	performance	performance	NOUN
aiti-13972	120	17	parameter	parameter	NOUN
aiti-13972	120	18	is	be	AUX
aiti-13972	120	19	optimized	optimize	VERB
aiti-13972	120	20	.	.	PUNCT
aiti-13972	121	1	rfe	rfe	PROPN
aiti-13972	121	2	considers	consider	VERB
aiti-13972	121	3	the	the	DET
aiti-13972	121	4	interactions	interaction	NOUN
aiti-13972	121	5	among	among	ADP
aiti-13972	121	6	features	feature	NOUN
aiti-13972	121	7	,	,	PUNCT
aiti-13972	121	8	ensuring	ensure	VERB
aiti-13972	121	9	that	that	SCONJ
aiti-13972	121	10	the	the	DET
aiti-13972	121	11	most	most	ADV
aiti-13972	121	12	relevant	relevant	ADJ
aiti-13972	121	13	ones	one	NOUN
aiti-13972	121	14	are	be	AUX
aiti-13972	121	15	retained	retain	VERB
aiti-13972	121	16	for	for	ADP
aiti-13972	121	17	classification	classification	NOUN
aiti-13972	121	18	or	or	CCONJ
aiti-13972	121	19	prediction	prediction	NOUN
aiti-13972	121	20	tasks	task	NOUN
aiti-13972	121	21	pertinent	pertinent	ADJ
aiti-13972	121	22	to	to	ADP
aiti-13972	121	23	heart	heart	NOUN
aiti-13972	121	24	disease	disease	NOUN
aiti-13972	121	25	.	.	PUNCT
aiti-13972	122	1	tian	tian	PROPN
aiti-13972	122	2	and	and	CCONJ
aiti-13972	122	3	shi	shi	PROPN
aiti-13972	123	1	[	[	X
aiti-13972	123	2	24	24	NUM
aiti-13972	123	3	]	]	PUNCT
aiti-13972	123	4	employed	employ	VERB
aiti-13972	123	5	feature	feature	NOUN
aiti-13972	123	6	selection	selection	NOUN
aiti-13972	123	7	methods	method	NOUN
aiti-13972	123	8	on	on	ADP
aiti-13972	123	9	the	the	DET
aiti-13972	123	10	cleveland	cleveland	PROPN
aiti-13972	123	11	dataset	dataset	NOUN
aiti-13972	123	12	using	use	VERB
aiti-13972	123	13	modified	modify	VERB
aiti-13972	123	14	particle	particle	NOUN
aiti-13972	123	15	swarm	swarm	NOUN
aiti-13972	123	16	optimization	optimization	NOUN
aiti-13972	123	17	(	(	PUNCT
aiti-13972	123	18	mpso	mpso	NOUN
aiti-13972	123	19	)	)	PUNCT
aiti-13972	123	20	.	.	PUNCT
aiti-13972	124	1	the	the	DET
aiti-13972	124	2	main	main	ADJ
aiti-13972	124	3	goal	goal	NOUN
aiti-13972	124	4	of	of	ADP
aiti-13972	124	5	the	the	DET
aiti-13972	124	6	research	research	NOUN
aiti-13972	124	7	was	be	AUX
aiti-13972	124	8	to	to	PART
aiti-13972	124	9	improve	improve	VERB
aiti-13972	124	10	feature	feature	NOUN
aiti-13972	124	11	selection	selection	NOUN
aiti-13972	124	12	such	such	DET
aiti-13972	124	13	that	that	DET
aiti-13972	124	14	heart	heart	NOUN
aiti-13972	124	15	disease	disease	NOUN
aiti-13972	124	16	prediction	prediction	NOUN
aiti-13972	124	17	models	model	NOUN
aiti-13972	124	18	perform	perform	VERB
aiti-13972	124	19	better	well	ADJ
aiti-13972	124	20	apropos	apropos	NOUN
aiti-13972	124	21	classification	classification	NOUN
aiti-13972	124	22	.	.	PUNCT
aiti-13972	125	1	the	the	DET
aiti-13972	125	2	mpso	mpso	NOUN
aiti-13972	125	3	in	in	ADP
aiti-13972	125	4	which	which	PRON
aiti-13972	125	5	the	the	DET
aiti-13972	125	6	selection	selection	NOUN
aiti-13972	125	7	process	process	NOUN
aiti-13972	125	8	likely	likely	ADV
aiti-13972	125	9	involved	involve	VERB
aiti-13972	125	10	iteratively	iteratively	ADV
aiti-13972	125	11	evaluating	evaluate	VERB
aiti-13972	125	12	different	different	ADJ
aiti-13972	125	13	feature	feature	NOUN
aiti-13972	125	14	subsets	subset	NOUN
aiti-13972	125	15	to	to	PART
aiti-13972	125	16	identify	identify	VERB
aiti-13972	125	17	the	the	DET
aiti-13972	125	18	most	most	ADV
aiti-13972	125	19	informative	informative	ADJ
aiti-13972	125	20	ones	one	NOUN
aiti-13972	125	21	for	for	ADP
aiti-13972	125	22	classification	classification	NOUN
aiti-13972	125	23	.	.	PUNCT
aiti-13972	126	1	the	the	DET
aiti-13972	126	2	study	study	NOUN
aiti-13972	126	3	probably	probably	ADV
aiti-13972	126	4	covered	cover	VERB
aiti-13972	126	5	the	the	DET
aiti-13972	126	6	performance	performance	NOUN
aiti-13972	126	7	of	of	ADP
aiti-13972	126	8	the	the	DET
aiti-13972	126	9	mpso	mpso	NOUN
aiti-13972	126	10	-	-	PUNCT
aiti-13972	126	11	based	base	VERB
aiti-13972	126	12	feature	feature	NOUN
aiti-13972	126	13	selection	selection	NOUN
aiti-13972	126	14	strategy	strategy	NOUN
aiti-13972	126	15	in	in	ADP
aiti-13972	126	16	comparison	comparison	NOUN
aiti-13972	126	17	to	to	ADP
aiti-13972	126	18	other	other	ADJ
aiti-13972	126	19	approaches	approach	NOUN
aiti-13972	126	20	to	to	PART
aiti-13972	126	21	increase	increase	VERB
aiti-13972	126	22	classification	classification	NOUN
aiti-13972	126	23	accuracy	accuracy	NOUN
aiti-13972	126	24	and	and	CCONJ
aiti-13972	126	25	decrease	decrease	VERB
aiti-13972	126	26	computing	compute	VERB
aiti-13972	126	27	complexity	complexity	NOUN
aiti-13972	126	28	.	.	PUNCT
aiti-13972	127	1	3	3	X
aiti-13972	127	2	.	.	NUM
aiti-13972	127	3	proposed	propose	VERB
aiti-13972	127	4	methodology	methodology	NOUN
aiti-13972	127	5	the	the	DET
aiti-13972	127	6	proposed	propose	VERB
aiti-13972	127	7	research	research	NOUN
aiti-13972	127	8	aims	aim	VERB
aiti-13972	127	9	to	to	PART
aiti-13972	127	10	enhance	enhance	VERB
aiti-13972	127	11	the	the	DET
aiti-13972	127	12	accuracy	accuracy	NOUN
aiti-13972	127	13	of	of	ADP
aiti-13972	127	14	a	a	DET
aiti-13972	127	15	system	system	NOUN
aiti-13972	127	16	by	by	ADP
aiti-13972	127	17	selecting	select	VERB
aiti-13972	127	18	the	the	DET
aiti-13972	127	19	most	most	ADV
aiti-13972	127	20	relevant	relevant	ADJ
aiti-13972	127	21	feature	feature	NOUN
aiti-13972	127	22	subset	subset	VERB
aiti-13972	127	23	in	in	ADP
aiti-13972	127	24	a	a	DET
aiti-13972	127	25	dataset	dataset	NOUN
aiti-13972	127	26	related	relate	VERB
aiti-13972	127	27	to	to	ADP
aiti-13972	127	28	heart	heart	NOUN
aiti-13972	127	29	disease	disease	NOUN
aiti-13972	127	30	.	.	PUNCT
aiti-13972	128	1	fig	fig	NOUN
aiti-13972	128	2	.	.	PUNCT
aiti-13972	129	1	1	1	NUM
aiti-13972	129	2	illustrates	illustrate	VERB
aiti-13972	129	3	the	the	DET
aiti-13972	129	4	system	system	NOUN
aiti-13972	129	5	framework	framework	NOUN
aiti-13972	129	6	.	.	PUNCT
aiti-13972	130	1	the	the	DET
aiti-13972	130	2	essential	essential	ADJ
aiti-13972	130	3	elements	element	NOUN
aiti-13972	130	4	of	of	ADP
aiti-13972	130	5	the	the	DET
aiti-13972	130	6	framework	framework	NOUN
aiti-13972	130	7	are	be	AUX
aiti-13972	130	8	comprised	comprise	VERB
aiti-13972	130	9	of	of	ADP
aiti-13972	130	10	data	datum	NOUN
aiti-13972	130	11	collection	collection	NOUN
aiti-13972	130	12	,	,	PUNCT
aiti-13972	130	13	data	datum	NOUN
aiti-13972	130	14	preprocessing	preprocessing	NOUN
aiti-13972	130	15	,	,	PUNCT
aiti-13972	130	16	feature	feature	NOUN
aiti-13972	130	17	optimization	optimization	NOUN
aiti-13972	130	18	,	,	PUNCT
aiti-13972	130	19	and	and	CCONJ
aiti-13972	130	20	performance	performance	NOUN
aiti-13972	130	21	evaluation	evaluation	NOUN
aiti-13972	130	22	.	.	PUNCT
aiti-13972	131	1	subsequent	subsequent	ADJ
aiti-13972	131	2	sections	section	NOUN
aiti-13972	131	3	detail	detail	VERB
aiti-13972	131	4	the	the	DET
aiti-13972	131	5	foundational	foundational	ADJ
aiti-13972	131	6	elements	element	NOUN
aiti-13972	131	7	of	of	ADP
aiti-13972	131	8	the	the	DET
aiti-13972	131	9	suggested	suggest	VERB
aiti-13972	131	10	framework	framework	NOUN
aiti-13972	131	11	.	.	PUNCT
aiti-13972	132	1	advances	advance	NOUN
aiti-13972	132	2	in	in	ADP
aiti-13972	132	3	technology	technology	NOUN
aiti-13972	132	4	innovation	innovation	NOUN
aiti-13972	132	5	,	,	PUNCT
aiti-13972	132	6	vol	vol	NOUN
aiti-13972	132	7	.	.	PROPN
aiti-13972	133	1	9	9	NUM
aiti-13972	133	2	,	,	PUNCT
aiti-13972	133	3	no	no	INTJ
aiti-13972	133	4	.	.	NOUN
aiti-13972	133	5	4	4	NUM
aiti-13972	133	6	,	,	PUNCT
aiti-13972	133	7	2024	2024	NUM
aiti-13972	133	8	,	,	PUNCT
aiti-13972	133	9	pp	pp	ADV
aiti-13972	133	10	.	.	PUNCT
aiti-13972	134	1	319	319	NUM
aiti-13972	134	2	-	-	SYM
aiti-13972	134	3	331	331	NUM
aiti-13972	134	4	323	323	NUM
aiti-13972	134	5	fig	fig	NOUN
aiti-13972	134	6	.	.	PUNCT
aiti-13972	135	1	1	1	NUM
aiti-13972	135	2	framework	framework	NOUN
aiti-13972	135	3	for	for	ADP
aiti-13972	135	4	the	the	DET
aiti-13972	135	5	system	system	NOUN
aiti-13972	135	6	3.1	3.1	NUM
aiti-13972	135	7	.	.	PUNCT
aiti-13972	135	8	data	datum	NOUN
aiti-13972	135	9	collection	collection	NOUN
aiti-13972	135	10	the	the	DET
aiti-13972	135	11	dataset	dataset	NOUN
aiti-13972	135	12	used	use	VERB
aiti-13972	135	13	for	for	ADP
aiti-13972	135	14	this	this	DET
aiti-13972	135	15	study	study	NOUN
aiti-13972	135	16	is	be	AUX
aiti-13972	135	17	cleveland	cleveland	PROPN
aiti-13972	135	18	heart	heart	NOUN
aiti-13972	135	19	disease	disease	NOUN
aiti-13972	135	20	datasets	dataset	NOUN
aiti-13972	135	21	from	from	ADP
aiti-13972	135	22	the	the	DET
aiti-13972	135	23	uci	uci	PROPN
aiti-13972	135	24	web	web	NOUN
aiti-13972	135	25	repository	repository	NOUN
aiti-13972	135	26	.	.	PUNCT
aiti-13972	136	1	this	this	DET
aiti-13972	136	2	dataset	dataset	NOUN
aiti-13972	136	3	initially	initially	ADV
aiti-13972	136	4	contains	contain	VERB
aiti-13972	136	5	303	303	NUM
aiti-13972	136	6	instances	instance	NOUN
aiti-13972	136	7	and	and	CCONJ
aiti-13972	136	8	75	75	NUM
aiti-13972	136	9	attributes	attribute	NOUN
aiti-13972	136	10	.	.	PUNCT
aiti-13972	137	1	table	table	NOUN
aiti-13972	137	2	1	1	NUM
aiti-13972	137	3	presents	present	VERB
aiti-13972	137	4	a	a	DET
aiti-13972	137	5	thorough	thorough	ADJ
aiti-13972	137	6	overview	overview	NOUN
aiti-13972	137	7	of	of	ADP
aiti-13972	137	8	the	the	DET
aiti-13972	137	9	dataset	dataset	NOUN
aiti-13972	137	10	.	.	PUNCT
aiti-13972	138	1	the	the	DET
aiti-13972	138	2	target	target	NOUN
aiti-13972	138	3	feature	feature	NOUN
aiti-13972	138	4	label	label	NOUN
aiti-13972	138	5	contains	contain	VERB
aiti-13972	138	6	two	two	NUM
aiti-13972	138	7	values	value	NOUN
aiti-13972	138	8	to	to	PART
aiti-13972	138	9	determine	determine	VERB
aiti-13972	138	10	the	the	DET
aiti-13972	138	11	presence	presence	NOUN
aiti-13972	138	12	of	of	ADP
aiti-13972	138	13	cardiac	cardiac	ADJ
aiti-13972	138	14	disease	disease	NOUN
aiti-13972	138	15	.	.	PUNCT
aiti-13972	139	1	table	table	NOUN
aiti-13972	139	2	1	1	NUM
aiti-13972	139	3	feature	feature	NOUN
aiti-13972	139	4	subsets	subset	NOUN
aiti-13972	139	5	using	use	VERB
aiti-13972	139	6	feature	feature	NOUN
aiti-13972	139	7	optimization	optimization	NOUN
aiti-13972	139	8	method	method	NOUN
aiti-13972	139	9	sr	sr	PROPN
aiti-13972	139	10	.	.	PUNCT
aiti-13972	140	1	no	no	INTJ
aiti-13972	140	2	.	.	PUNCT
aiti-13972	141	1	feature	feature	NOUN
aiti-13972	141	2	name	name	NOUN
aiti-13972	141	3	values	value	NOUN
aiti-13972	141	4	1	1	NUM
aiti-13972	141	5	age	age	NOUN
aiti-13972	141	6	age	age	NOUN
aiti-13972	141	7	29	29	NUM
aiti-13972	141	8	to	to	PART
aiti-13972	141	9	77	77	NUM
aiti-13972	141	10	2	2	NUM
aiti-13972	141	11	sex	sex	NOUN
aiti-13972	141	12	sex	sex	NOUN
aiti-13972	141	13	1	1	NUM
aiti-13972	141	14	:	:	PUNCT
aiti-13972	141	15	male	male	NOUN
aiti-13972	141	16	0	0	NUM
aiti-13972	141	17	:	:	PUNCT
aiti-13972	141	18	female	female	ADJ
aiti-13972	141	19	3	3	NUM
aiti-13972	141	20	chest	chest	NOUN
aiti-13972	141	21	pain	pain	NOUN
aiti-13972	141	22	type	type	NOUN
aiti-13972	141	23	cp	cp	INTJ
aiti-13972	141	24	1	1	NUM
aiti-13972	141	25	:	:	PUNCT
aiti-13972	141	26	typical	typical	ADJ
aiti-13972	141	27	angina	angina	NOUN
aiti-13972	141	28	2	2	NUM
aiti-13972	141	29	:	:	PUNCT
aiti-13972	141	30	atypical	atypical	ADJ
aiti-13972	141	31	angina	angina	NOUN
aiti-13972	141	32	3	3	NUM
aiti-13972	141	33	:	:	PUNCT
aiti-13972	141	34	non	non	ADJ
aiti-13972	141	35	-	-	ADJ
aiti-13972	141	36	angina	angina	ADJ
aiti-13972	141	37	pain	pain	NOUN
aiti-13972	141	38	4	4	NUM
aiti-13972	141	39	:	:	PUNCT
aiti-13972	141	40	asymptomatic	asymptomatic	ADJ
aiti-13972	141	41	4	4	NUM
aiti-13972	141	42	blood	blood	NOUN
aiti-13972	141	43	pressure	pressure	NOUN
aiti-13972	141	44	at	at	ADP
aiti-13972	141	45	rest	rest	NOUN
aiti-13972	141	46	trestbps	trestbps	NOUN
aiti-13972	141	47	from	from	ADP
aiti-13972	141	48	94	94	NUM
aiti-13972	141	49	mm	mm	NUM
aiti-13972	141	50	hg	hg	NOUN
aiti-13972	141	51	to	to	ADP
aiti-13972	141	52	200	200	NUM
aiti-13972	141	53	mm	mm	NUM
aiti-13972	141	54	hg	hg	PROPN
aiti-13972	141	55	5	5	NUM
aiti-13972	141	56	serum	serum	NOUN
aiti-13972	141	57	cholesterol	cholesterol	NOUN
aiti-13972	141	58	chol	chol	NOUN
aiti-13972	141	59	from	from	ADP
aiti-13972	141	60	126	126	NUM
aiti-13972	141	61	mg	mg	PROPN
aiti-13972	141	62	/	/	SYM
aiti-13972	141	63	dl	dl	PROPN
aiti-13972	141	64	to	to	ADP
aiti-13972	141	65	564	564	NUM
aiti-13972	141	66	mg	mg	PROPN
aiti-13972	141	67	/	/	SYM
aiti-13972	141	68	dl	dl	PROPN
aiti-13972	141	69	6	6	NUM
aiti-13972	141	70	fasting	fast	VERB
aiti-13972	141	71	blood	blood	NOUN
aiti-13972	141	72	sugar	sugar	NOUN
aiti-13972	141	73	fbs	fbs	PROPN
aiti-13972	141	74	fbsr	fbsr	PROPN
aiti-13972	141	75	>	>	X
aiti-13972	141	76	120	120	NUM
aiti-13972	141	77	mg	mg	PROPN
aiti-13972	141	78	/	/	SYM
aiti-13972	141	79	dl	dl	PROPN
aiti-13972	141	80	(	(	PUNCT
aiti-13972	141	81	true	true	ADJ
aiti-13972	141	82	:	:	PUNCT
aiti-13972	141	83	1	1	NUM
aiti-13972	141	84	,	,	PUNCT
aiti-13972	141	85	false	false	ADJ
aiti-13972	141	86	:	:	SYM
aiti-13972	141	87	0	0	NUM
aiti-13972	141	88	)	)	PUNCT
aiti-13972	141	89	7	7	NUM
aiti-13972	141	90	resting	rest	VERB
aiti-13972	141	91	electrocardiographic	electrocardiographic	ADJ
aiti-13972	141	92	results	result	NOUN
aiti-13972	141	93	restecg	restecg	VERB
aiti-13972	141	94	0	0	NUM
aiti-13972	141	95	:	:	PUNCT
aiti-13972	141	96	normal	normal	ADJ
aiti-13972	141	97	1	1	NUM
aiti-13972	141	98	:	:	PUNCT
aiti-13972	141	99	st	st	PROPN
aiti-13972	141	100	-	-	PUNCT
aiti-13972	141	101	t	t	PROPN
aiti-13972	141	102	waveabnormality	waveabnormality	NOUN
aiti-13972	141	103	2	2	NUM
aiti-13972	141	104	:	:	PUNCT
aiti-13972	141	105	hypertrophy	hypertrophy	NOUN
aiti-13972	141	106	8	8	NUM
aiti-13972	141	107	maximum	maximum	ADJ
aiti-13972	141	108	heart	heart	NOUN
aiti-13972	141	109	rate	rate	NOUN
aiti-13972	141	110	achieved	achieve	VERB
aiti-13972	141	111	thalach	thalach	NOUN
aiti-13972	141	112	from	from	ADP
aiti-13972	141	113	71	71	NUM
aiti-13972	141	114	to	to	PART
aiti-13972	141	115	202	202	NUM
aiti-13972	141	116	9	9	NUM
aiti-13972	141	117	exercise	exercise	NOUN
aiti-13972	141	118	-	-	PUNCT
aiti-13972	141	119	induced	induce	VERB
aiti-13972	141	120	angina	angina	NOUN
aiti-13972	141	121	exang	exang	PROPN
aiti-13972	142	1	1	1	NUM
aiti-13972	142	2	:	:	PUNCT
aiti-13972	142	3	yes	yes	INTJ
aiti-13972	142	4	0	0	NUM
aiti-13972	142	5	:	:	PUNCT
aiti-13972	143	1	no	no	DET
aiti-13972	143	2	10	10	NUM
aiti-13972	143	3	st	st	NOUN
aiti-13972	143	4	depression	depression	NOUN
aiti-13972	143	5	induced	induce	VERB
aiti-13972	143	6	by	by	ADP
aiti-13972	143	7	exercise	exercise	NOUN
aiti-13972	143	8	relative	relative	ADJ
aiti-13972	143	9	to	to	ADP
aiti-13972	143	10	rest	rest	NOUN
aiti-13972	143	11	oldpeak	oldpeak	NOUN
aiti-13972	143	12	1	1	NUM
aiti-13972	143	13	:	:	PUNCT
aiti-13972	143	14	up	up	ADP
aiti-13972	143	15	sloping	slope	VERB
aiti-13972	143	16	2	2	NUM
aiti-13972	143	17	:	:	PUNCT
aiti-13972	143	18	flat	flat	ADJ
aiti-13972	143	19	3	3	NUM
aiti-13972	143	20	:	:	PUNCT
aiti-13972	143	21	down	down	ADP
aiti-13972	143	22	sloping	slope	VERB
aiti-13972	143	23	11	11	NUM
aiti-13972	143	24	slope	slope	NOUN
aiti-13972	143	25	at	at	ADP
aiti-13972	143	26	the	the	DET
aiti-13972	143	27	peak	peak	NOUN
aiti-13972	143	28	exercise	exercise	NOUN
aiti-13972	143	29	st	st	PROPN
aiti-13972	143	30	segment	segment	PROPN
aiti-13972	143	31	slope	slope	NOUN
aiti-13972	143	32	from	from	ADP
aiti-13972	143	33	0	0	NUM
aiti-13972	143	34	to	to	ADP
aiti-13972	143	35	6.2	6.2	NUM
aiti-13972	143	36	12	12	NUM
aiti-13972	143	37	no	no	NOUN
aiti-13972	143	38	.	.	PUNCT
aiti-13972	143	39	of	of	ADP
aiti-13972	143	40	major	major	ADJ
aiti-13972	143	41	vessels	vessel	NOUN
aiti-13972	143	42	ca	can	AUX
aiti-13972	143	43	from	from	ADP
aiti-13972	143	44	0	0	NUM
aiti-13972	143	45	to	to	ADP
aiti-13972	143	46	3	3	NUM
aiti-13972	143	47	13	13	NUM
aiti-13972	143	48	thallium	thallium	NOUN
aiti-13972	143	49	thal	thal	NOUN
aiti-13972	143	50	3	3	NUM
aiti-13972	143	51	:	:	PUNCT
aiti-13972	143	52	normal	normal	ADJ
aiti-13972	143	53	6	6	NUM
aiti-13972	143	54	:	:	PUNCT
aiti-13972	143	55	fixed	fix	VERB
aiti-13972	143	56	defect	defect	NOUN
aiti-13972	143	57	7	7	NUM
aiti-13972	143	58	:	:	PUNCT
aiti-13972	143	59	reversible	reversible	ADJ
aiti-13972	143	60	defect	defect	VERB
aiti-13972	143	61	14	14	NUM
aiti-13972	143	62	target	target	NOUN
aiti-13972	143	63	tar	tar	NOUN
aiti-13972	143	64	1	1	NUM
aiti-13972	143	65	:	:	PUNCT
aiti-13972	143	66	heart	heart	NOUN
aiti-13972	143	67	disease	disease	NOUN
aiti-13972	143	68	0	0	NUM
aiti-13972	143	69	:	:	PUNCT
aiti-13972	143	70	no	no	DET
aiti-13972	143	71	heart	heart	NOUN
aiti-13972	143	72	disease	disease	NOUN
aiti-13972	143	73	3.2	3.2	NUM
aiti-13972	143	74	.	.	PUNCT
aiti-13972	144	1	data	datum	NOUN
aiti-13972	144	2	preprocessing	preprocesse	VERB
aiti-13972	144	3	processing	process	VERB
aiti-13972	144	4	the	the	DET
aiti-13972	144	5	dataset	dataset	NOUN
aiti-13972	144	6	is	be	AUX
aiti-13972	144	7	essential	essential	ADJ
aiti-13972	144	8	to	to	PART
aiti-13972	144	9	accurately	accurately	ADV
aiti-13972	144	10	represent	represent	VERB
aiti-13972	144	11	the	the	DET
aiti-13972	144	12	quality	quality	NOUN
aiti-13972	144	13	of	of	ADP
aiti-13972	144	14	data	datum	NOUN
aiti-13972	144	15	.	.	PUNCT
aiti-13972	145	1	there	there	PRON
aiti-13972	145	2	are	be	VERB
aiti-13972	145	3	various	various	ADJ
aiti-13972	145	4	methods	method	NOUN
aiti-13972	145	5	to	to	PART
aiti-13972	145	6	handle	handle	VERB
aiti-13972	145	7	missing	miss	VERB
aiti-13972	145	8	values	value	NOUN
aiti-13972	145	9	,	,	PUNCT
aiti-13972	145	10	including	include	VERB
aiti-13972	145	11	ignoring	ignore	VERB
aiti-13972	145	12	them	they	PRON
aiti-13972	145	13	,	,	PUNCT
aiti-13972	145	14	replacing	replace	VERB
aiti-13972	145	15	them	they	PRON
aiti-13972	145	16	with	with	ADP
aiti-13972	145	17	a	a	DET
aiti-13972	145	18	numeric	numeric	ADJ
aiti-13972	145	19	value	value	NOUN
aiti-13972	145	20	,	,	PUNCT
aiti-13972	145	21	using	use	VERB
aiti-13972	145	22	the	the	DET
aiti-13972	145	23	most	most	ADV
aiti-13972	145	24	frequent	frequent	ADJ
aiti-13972	145	25	value	value	NOUN
aiti-13972	145	26	for	for	ADP
aiti-13972	145	27	the	the	DET
aiti-13972	145	28	feature	feature	NOUN
aiti-13972	145	29	,	,	PUNCT
aiti-13972	145	30	or	or	CCONJ
aiti-13972	145	31	substituting	substitute	VERB
aiti-13972	145	32	them	they	PRON
aiti-13972	145	33	with	with	ADP
aiti-13972	145	34	the	the	DET
aiti-13972	145	35	mean	mean	ADJ
aiti-13972	145	36	value	value	NOUN
aiti-13972	145	37	of	of	ADP
aiti-13972	145	38	the	the	DET
aiti-13972	145	39	attribute	attribute	NOUN
aiti-13972	145	40	.	.	PUNCT
aiti-13972	146	1	in	in	ADP
aiti-13972	146	2	this	this	DET
aiti-13972	146	3	study	study	NOUN
aiti-13972	146	4	,	,	PUNCT
aiti-13972	146	5	the	the	DET
aiti-13972	146	6	initial	initial	ADJ
aiti-13972	146	7	step	step	NOUN
aiti-13972	146	8	is	be	AUX
aiti-13972	146	9	to	to	PART
aiti-13972	146	10	eliminate	eliminate	VERB
aiti-13972	146	11	records	record	NOUN
aiti-13972	146	12	containing	contain	VERB
aiti-13972	146	13	missing	miss	VERB
aiti-13972	146	14	values	value	NOUN
aiti-13972	146	15	.	.	PUNCT
aiti-13972	147	1	to	to	PART
aiti-13972	147	2	enhance	enhance	VERB
aiti-13972	147	3	the	the	DET
aiti-13972	147	4	comparability	comparability	NOUN
aiti-13972	147	5	and	and	CCONJ
aiti-13972	147	6	performance	performance	NOUN
aiti-13972	147	7	of	of	ADP
aiti-13972	147	8	machine	machine	NOUN
aiti-13972	147	9	learning	learning	NOUN
aiti-13972	147	10	algorithms	algorithm	NOUN
aiti-13972	147	11	,	,	PUNCT
aiti-13972	147	12	standardization	standardization	NOUN
aiti-13972	147	13	is	be	AUX
aiti-13972	147	14	applied	apply	VERB
aiti-13972	147	15	to	to	ADP
aiti-13972	147	16	the	the	DET
aiti-13972	147	17	features	feature	NOUN
aiti-13972	147	18	.	.	PUNCT
aiti-13972	148	1	this	this	DET
aiti-13972	148	2	process	process	NOUN
aiti-13972	148	3	encompasses	encompass	VERB
aiti-13972	148	4	removing	remove	VERB
aiti-13972	148	5	the	the	DET
aiti-13972	148	6	mean	mean	NOUN
aiti-13972	148	7	and	and	CCONJ
aiti-13972	148	8	scaling	scaling	NOUN
aiti-13972	148	9	to	to	ADP
aiti-13972	148	10	unit	unit	NOUN
aiti-13972	148	11	variance	variance	NOUN
aiti-13972	148	12	,	,	PUNCT
aiti-13972	148	13	aligning	align	VERB
aiti-13972	148	14	the	the	DET
aiti-13972	148	15	features	feature	NOUN
aiti-13972	148	16	with	with	ADP
aiti-13972	148	17	a	a	DET
aiti-13972	148	18	standard	standard	ADJ
aiti-13972	148	19	normal	normal	ADJ
aiti-13972	148	20	distribution	distribution	NOUN
aiti-13972	148	21	.	.	PUNCT
aiti-13972	149	1	given	give	VERB
aiti-13972	149	2	that	that	DET
aiti-13972	149	3	machine	machine	NOUN
aiti-13972	149	4	learning	learn	VERB
aiti-13972	149	5	algorithms	algorithm	NOUN
aiti-13972	149	6	preponderantly	preponderantly	ADV
aiti-13972	149	7	perform	perform	VERB
aiti-13972	149	8	better	well	ADV
aiti-13972	149	9	when	when	SCONJ
aiti-13972	149	10	features	feature	NOUN
aiti-13972	149	11	adhere	adhere	VERB
aiti-13972	149	12	to	to	ADP
aiti-13972	149	13	a	a	DET
aiti-13972	149	14	standard	standard	ADJ
aiti-13972	149	15	normal	normal	ADJ
aiti-13972	149	16	distribution	distribution	NOUN
aiti-13972	149	17	,	,	PUNCT
aiti-13972	149	18	standardization	standardization	NOUN
aiti-13972	149	19	is	be	AUX
aiti-13972	149	20	especially	especially	ADV
aiti-13972	149	21	instrumental	instrumental	ADJ
aiti-13972	149	22	.	.	PUNCT
aiti-13972	150	1	324	324	NUM
aiti-13972	150	2	advances	advance	NOUN
aiti-13972	150	3	in	in	ADP
aiti-13972	150	4	technology	technology	NOUN
aiti-13972	150	5	innovation	innovation	NOUN
aiti-13972	150	6	,	,	PUNCT
aiti-13972	150	7	vol	vol	NOUN
aiti-13972	150	8	.	.	PROPN
aiti-13972	150	9	9	9	NUM
aiti-13972	150	10	,	,	PUNCT
aiti-13972	150	11	no	no	INTJ
aiti-13972	150	12	.	.	NOUN
aiti-13972	150	13	4	4	NUM
aiti-13972	150	14	,	,	PUNCT
aiti-13972	150	15	2024	2024	NUM
aiti-13972	150	16	,	,	PUNCT
aiti-13972	150	17	pp	pp	ADV
aiti-13972	150	18	.	.	PUNCT
aiti-13972	151	1	319	319	NUM
aiti-13972	151	2	-	-	SYM
aiti-13972	151	3	331	331	NUM
aiti-13972	151	4	3.3	3.3	NUM
aiti-13972	151	5	.	.	PUNCT
aiti-13972	152	1	feature	feature	NOUN
aiti-13972	152	2	optimization	optimization	NOUN
aiti-13972	152	3	the	the	DET
aiti-13972	152	4	experiment	experiment	NOUN
aiti-13972	152	5	is	be	AUX
aiti-13972	152	6	conducted	conduct	VERB
aiti-13972	152	7	in	in	ADP
aiti-13972	152	8	this	this	DET
aiti-13972	152	9	phase	phase	NOUN
aiti-13972	152	10	regardless	regardless	ADV
aiti-13972	152	11	of	of	ADP
aiti-13972	152	12	feature	feature	NOUN
aiti-13972	152	13	selection	selection	NOUN
aiti-13972	152	14	to	to	PART
aiti-13972	152	15	assess	assess	VERB
aiti-13972	152	16	its	its	PRON
aiti-13972	152	17	effects	effect	NOUN
aiti-13972	152	18	.	.	PUNCT
aiti-13972	153	1	feature	feature	NOUN
aiti-13972	153	2	optimization	optimization	NOUN
aiti-13972	153	3	is	be	AUX
aiti-13972	153	4	intended	intend	VERB
aiti-13972	153	5	to	to	PART
aiti-13972	153	6	select	select	VERB
aiti-13972	153	7	the	the	DET
aiti-13972	153	8	important	important	ADJ
aiti-13972	153	9	features	feature	NOUN
aiti-13972	153	10	related	relate	VERB
aiti-13972	153	11	to	to	ADP
aiti-13972	153	12	heart	heart	NOUN
aiti-13972	153	13	diseases	disease	NOUN
aiti-13972	153	14	.	.	PUNCT
aiti-13972	154	1	additionally	additionally	ADV
aiti-13972	154	2	,	,	PUNCT
aiti-13972	154	3	feature	feature	NOUN
aiti-13972	154	4	optimization	optimization	NOUN
aiti-13972	154	5	facilitates	facilitate	VERB
aiti-13972	154	6	the	the	DET
aiti-13972	154	7	further	further	ADJ
aiti-13972	154	8	establishment	establishment	NOUN
aiti-13972	154	9	of	of	ADP
aiti-13972	154	10	precise	precise	ADJ
aiti-13972	154	11	models	model	NOUN
aiti-13972	154	12	by	by	ADP
aiti-13972	154	13	removing	remove	VERB
aiti-13972	154	14	or	or	CCONJ
aiti-13972	154	15	reducing	reduce	VERB
aiti-13972	154	16	the	the	DET
aiti-13972	154	17	significance	significance	NOUN
aiti-13972	154	18	of	of	ADP
aiti-13972	154	19	irrelevant	irrelevant	ADJ
aiti-13972	154	20	features	feature	NOUN
aiti-13972	154	21	,	,	PUNCT
aiti-13972	154	22	thus	thus	ADV
aiti-13972	154	23	reducing	reduce	VERB
aiti-13972	154	24	training	training	NOUN
aiti-13972	154	25	time	time	NOUN
aiti-13972	154	26	and	and	CCONJ
aiti-13972	154	27	improving	improve	VERB
aiti-13972	154	28	learning	learning	NOUN
aiti-13972	154	29	performance	performance	NOUN
aiti-13972	154	30	.	.	PUNCT
aiti-13972	155	1	this	this	DET
aiti-13972	155	2	experiment	experiment	NOUN
aiti-13972	155	3	examines	examine	VERB
aiti-13972	155	4	the	the	DET
aiti-13972	155	5	performance	performance	NOUN
aiti-13972	155	6	of	of	ADP
aiti-13972	155	7	various	various	ADJ
aiti-13972	155	8	feature	feature	NOUN
aiti-13972	155	9	selection	selection	NOUN
aiti-13972	155	10	methods	method	NOUN
aiti-13972	155	11	across	across	ADP
aiti-13972	155	12	filter	filter	NOUN
aiti-13972	155	13	,	,	PUNCT
aiti-13972	155	14	wrapper	wrapper	NOUN
aiti-13972	155	15	,	,	PUNCT
aiti-13972	155	16	and	and	CCONJ
aiti-13972	155	17	embedded	embed	VERB
aiti-13972	155	18	categories	category	NOUN
aiti-13972	155	19	.	.	PUNCT
aiti-13972	156	1	in	in	ADP
aiti-13972	156	2	this	this	DET
aiti-13972	156	3	section	section	NOUN
aiti-13972	156	4	,	,	PUNCT
aiti-13972	156	5	the	the	DET
aiti-13972	156	6	proposed	propose	VERB
aiti-13972	156	7	ant	ant	ADJ
aiti-13972	156	8	colony	colony	NOUN
aiti-13972	156	9	optimization	optimization	NOUN
aiti-13972	156	10	with	with	ADP
aiti-13972	156	11	hill	hill	NOUN
aiti-13972	156	12	climbing	climbing	NOUN
aiti-13972	156	13	(	(	PUNCT
aiti-13972	156	14	acohc	acohc	NOUN
aiti-13972	156	15	)	)	PUNCT
aiti-13972	156	16	method	method	NOUN
aiti-13972	156	17	is	be	AUX
aiti-13972	156	18	utilized	utilize	VERB
aiti-13972	156	19	for	for	ADP
aiti-13972	156	20	feature	feature	NOUN
aiti-13972	156	21	optimization	optimization	NOUN
aiti-13972	156	22	.	.	PUNCT
aiti-13972	157	1	the	the	DET
aiti-13972	157	2	acohc	acohc	PROPN
aiti-13972	157	3	algorithm	algorithm	NOUN
aiti-13972	157	4	combines	combine	VERB
aiti-13972	157	5	two	two	NUM
aiti-13972	157	6	powerful	powerful	ADJ
aiti-13972	157	7	algorithms	algorithm	NOUN
aiti-13972	157	8	into	into	ADP
aiti-13972	157	9	a	a	DET
aiti-13972	157	10	hybrid	hybrid	ADJ
aiti-13972	157	11	feature	feature	NOUN
aiti-13972	157	12	selection	selection	NOUN
aiti-13972	157	13	method	method	NOUN
aiti-13972	157	14	:	:	PUNCT
aiti-13972	157	15	the	the	DET
aiti-13972	157	16	aco	aco	PROPN
aiti-13972	157	17	algorithm	algorithm	PROPN
aiti-13972	157	18	and	and	CCONJ
aiti-13972	157	19	the	the	DET
aiti-13972	157	20	hc	hc	PROPN
aiti-13972	157	21	algorithm	algorithm	NOUN
aiti-13972	157	22	.	.	PUNCT
aiti-13972	158	1	fig	fig	NOUN
aiti-13972	158	2	.	.	PUNCT
aiti-13972	159	1	2	2	NUM
aiti-13972	159	2	depicts	depict	VERB
aiti-13972	159	3	the	the	DET
aiti-13972	159	4	flowchart	flowchart	NOUN
aiti-13972	159	5	of	of	ADP
aiti-13972	159	6	this	this	DET
aiti-13972	159	7	approach	approach	NOUN
aiti-13972	159	8	.	.	PUNCT
aiti-13972	160	1	the	the	DET
aiti-13972	160	2	acohc	acohc	PROPN
aiti-13972	160	3	method	method	NOUN
aiti-13972	160	4	commences	commence	VERB
aiti-13972	160	5	by	by	ADP
aiti-13972	160	6	creating	create	VERB
aiti-13972	160	7	k	k	ADJ
aiti-13972	160	8	artificial	artificial	ADJ
aiti-13972	160	9	ants	ant	NOUN
aiti-13972	160	10	to	to	PART
aiti-13972	160	11	explore	explore	VERB
aiti-13972	160	12	the	the	DET
aiti-13972	160	13	feature	feature	NOUN
aiti-13972	160	14	space	space	NOUN
aiti-13972	160	15	.	.	PUNCT
aiti-13972	161	1	initially	initially	ADV
aiti-13972	161	2	,	,	PUNCT
aiti-13972	161	3	these	these	DET
aiti-13972	161	4	ants	ant	NOUN
aiti-13972	161	5	search	search	VERB
aiti-13972	161	6	randomly	randomly	ADV
aiti-13972	161	7	within	within	ADP
aiti-13972	161	8	this	this	DET
aiti-13972	161	9	space	space	NOUN
aiti-13972	161	10	.	.	PUNCT
aiti-13972	162	1	throughout	throughout	ADP
aiti-13972	162	2	a	a	DET
aiti-13972	162	3	series	series	NOUN
aiti-13972	162	4	of	of	ADP
aiti-13972	162	5	iterations	iteration	NOUN
aiti-13972	162	6	,	,	PUNCT
aiti-13972	162	7	each	each	DET
aiti-13972	162	8	ant	ant	ADJ
aiti-13972	162	9	selects	select	VERB
aiti-13972	162	10	certain	certain	ADJ
aiti-13972	162	11	features	feature	NOUN
aiti-13972	162	12	and	and	CCONJ
aiti-13972	162	13	develops	develop	VERB
aiti-13972	162	14	its	its	PRON
aiti-13972	162	15	solution	solution	NOUN
aiti-13972	162	16	during	during	ADP
aiti-13972	162	17	each	each	DET
aiti-13972	162	18	iteration	iteration	NOUN
aiti-13972	162	19	t.	t.	PROPN
aiti-13972	162	20	the	the	DET
aiti-13972	162	21	gathered	gather	VERB
aiti-13972	162	22	subsets	subset	NOUN
aiti-13972	162	23	are	be	AUX
aiti-13972	162	24	then	then	ADV
aiti-13972	162	25	evaluated	evaluate	VERB
aiti-13972	162	26	.	.	PUNCT
aiti-13972	163	1	by	by	ADP
aiti-13972	163	2	iteratively	iteratively	ADV
aiti-13972	163	3	evaluating	evaluate	VERB
aiti-13972	163	4	feature	feature	NOUN
aiti-13972	163	5	subsets	subset	NOUN
aiti-13972	163	6	and	and	CCONJ
aiti-13972	163	7	updating	update	VERB
aiti-13972	163	8	pheromone	pheromone	NOUN
aiti-13972	163	9	levels	level	NOUN
aiti-13972	163	10	,	,	PUNCT
aiti-13972	163	11	aco	aco	PROPN
aiti-13972	163	12	guides	guide	VERB
aiti-13972	163	13	the	the	DET
aiti-13972	163	14	search	search	NOUN
aiti-13972	163	15	toward	toward	ADP
aiti-13972	163	16	regions	region	NOUN
aiti-13972	163	17	of	of	ADP
aiti-13972	163	18	higher	high	ADJ
aiti-13972	163	19	performance	performance	NOUN
aiti-13972	163	20	.	.	PUNCT
aiti-13972	164	1	fig	fig	NOUN
aiti-13972	164	2	.	.	PUNCT
aiti-13972	165	1	2	2	NUM
aiti-13972	165	2	flowchart	flowchart	NOUN
aiti-13972	165	3	of	of	ADP
aiti-13972	165	4	feature	feature	NOUN
aiti-13972	165	5	optimization	optimization	NOUN
aiti-13972	165	6	method	method	NOUN
aiti-13972	165	7	after	after	SCONJ
aiti-13972	165	8	the	the	DET
aiti-13972	165	9	aco	aco	PROPN
aiti-13972	165	10	identifies	identify	VERB
aiti-13972	165	11	the	the	DET
aiti-13972	165	12	initial	initial	ADJ
aiti-13972	165	13	feature	feature	NOUN
aiti-13972	165	14	subset	subset	NOUN
aiti-13972	165	15	,	,	PUNCT
aiti-13972	165	16	the	the	DET
aiti-13972	165	17	chosen	choose	VERB
aiti-13972	165	18	subset	subset	NOUN
aiti-13972	165	19	undergoes	undergo	VERB
aiti-13972	165	20	further	further	ADJ
aiti-13972	165	21	enhancement	enhancement	NOUN
aiti-13972	165	22	through	through	ADP
aiti-13972	165	23	the	the	DET
aiti-13972	165	24	application	application	NOUN
aiti-13972	165	25	of	of	ADP
aiti-13972	165	26	the	the	DET
aiti-13972	165	27	hc	hc	PROPN
aiti-13972	165	28	algorithm	algorithm	NOUN
aiti-13972	165	29	.	.	PUNCT
aiti-13972	166	1	hc	hc	PROPN
aiti-13972	166	2	is	be	AUX
aiti-13972	166	3	a	a	DET
aiti-13972	166	4	heuristic	heuristic	ADJ
aiti-13972	166	5	local	local	ADJ
aiti-13972	166	6	search	search	NOUN
aiti-13972	166	7	technique	technique	NOUN
aiti-13972	166	8	that	that	PRON
aiti-13972	166	9	systematically	systematically	ADV
aiti-13972	166	10	investigates	investigate	VERB
aiti-13972	166	11	neighboring	neighboring	NOUN
aiti-13972	166	12	solutions	solution	NOUN
aiti-13972	166	13	to	to	PART
aiti-13972	166	14	enhance	enhance	VERB
aiti-13972	166	15	the	the	DET
aiti-13972	166	16	existing	exist	VERB
aiti-13972	166	17	feature	feature	NOUN
aiti-13972	166	18	subset	subset	NOUN
aiti-13972	166	19	.	.	PUNCT
aiti-13972	167	1	by	by	ADP
aiti-13972	167	2	continuously	continuously	ADV
aiti-13972	167	3	optimizing	optimize	VERB
aiti-13972	167	4	an	an	DET
aiti-13972	167	5	objective	objective	ADJ
aiti-13972	167	6	function	function	NOUN
aiti-13972	167	7	,	,	PUNCT
aiti-13972	167	8	often	often	ADV
aiti-13972	167	9	denoted	denote	VERB
aiti-13972	167	10	as	as	ADP
aiti-13972	167	11	the	the	DET
aiti-13972	167	12	performance	performance	NOUN
aiti-13972	167	13	metric	metric	ADJ
aiti-13972	167	14	,	,	PUNCT
aiti-13972	167	15	hc	hc	PROPN
aiti-13972	167	16	gradually	gradually	ADV
aiti-13972	167	17	enhances	enhance	VERB
aiti-13972	167	18	the	the	DET
aiti-13972	167	19	feature	feature	NOUN
aiti-13972	167	20	set	set	VERB
aiti-13972	167	21	towards	towards	ADP
aiti-13972	167	22	greater	great	ADJ
aiti-13972	167	23	classification	classification	NOUN
aiti-13972	167	24	accuracy	accuracy	NOUN
aiti-13972	167	25	.	.	PUNCT
aiti-13972	168	1	this	this	DET
aiti-13972	168	2	iterative	iterative	NOUN
aiti-13972	168	3	process	process	NOUN
aiti-13972	168	4	of	of	ADP
aiti-13972	168	5	refinement	refinement	NOUN
aiti-13972	168	6	empowers	empower	NOUN
aiti-13972	168	7	the	the	DET
aiti-13972	168	8	algorithm	algorithm	NOUN
aiti-13972	168	9	to	to	PART
aiti-13972	168	10	enhance	enhance	VERB
aiti-13972	168	11	the	the	DET
aiti-13972	168	12	performance	performance	NOUN
aiti-13972	168	13	,	,	PUNCT
aiti-13972	168	14	as	as	SCONJ
aiti-13972	168	15	compared	compare	VERB
aiti-13972	168	16	to	to	ADP
aiti-13972	168	17	the	the	DET
aiti-13972	168	18	original	original	ADJ
aiti-13972	168	19	feature	feature	NOUN
aiti-13972	168	20	subset	subset	NOUN
aiti-13972	168	21	identified	identify	VERB
aiti-13972	168	22	by	by	ADP
aiti-13972	168	23	aco	aco	PROPN
aiti-13972	168	24	.	.	PUNCT
aiti-13972	169	1	the	the	DET
aiti-13972	169	2	acohc	acohc	PROPN
aiti-13972	169	3	method	method	NOUN
aiti-13972	169	4	uniquely	uniquely	ADV
aiti-13972	169	5	combines	combine	VERB
aiti-13972	169	6	aco	aco	PROPN
aiti-13972	169	7	and	and	CCONJ
aiti-13972	169	8	hc	hc	X
aiti-13972	169	9	to	to	PART
aiti-13972	169	10	balance	balance	VERB
aiti-13972	169	11	global	global	ADJ
aiti-13972	169	12	exploration	exploration	NOUN
aiti-13972	169	13	and	and	CCONJ
aiti-13972	169	14	local	local	ADJ
aiti-13972	169	15	exploitation	exploitation	NOUN
aiti-13972	169	16	.	.	PUNCT
aiti-13972	170	1	aco	aco	PROPN
aiti-13972	170	2	explores	explore	VERB
aiti-13972	170	3	diverse	diverse	ADJ
aiti-13972	170	4	solutions	solution	NOUN
aiti-13972	170	5	through	through	ADP
aiti-13972	170	6	probabilistic	probabilistic	ADJ
aiti-13972	170	7	decisions	decision	NOUN
aiti-13972	170	8	and	and	CCONJ
aiti-13972	170	9	pheromone	pheromone	NOUN
aiti-13972	170	10	updates	update	NOUN
aiti-13972	170	11	,	,	PUNCT
aiti-13972	170	12	while	while	SCONJ
aiti-13972	170	13	hc	hc	NOUN
aiti-13972	170	14	refines	refine	VERB
aiti-13972	170	15	these	these	DET
aiti-13972	170	16	solutions	solution	NOUN
aiti-13972	170	17	by	by	ADP
aiti-13972	170	18	local	local	ADJ
aiti-13972	170	19	optimization	optimization	NOUN
aiti-13972	170	20	.	.	PUNCT
aiti-13972	171	1	this	this	DET
aiti-13972	171	2	hybrid	hybrid	ADJ
aiti-13972	171	3	approach	approach	NOUN
aiti-13972	171	4	leverages	leverage	VERB
aiti-13972	171	5	the	the	DET
aiti-13972	171	6	exploration	exploration	NOUN
aiti-13972	171	7	strength	strength	NOUN
aiti-13972	171	8	of	of	ADP
aiti-13972	171	9	aco	aco	PROPN
aiti-13972	171	10	and	and	CCONJ
aiti-13972	171	11	the	the	DET
aiti-13972	171	12	fine	fine	ADV
aiti-13972	171	13	-	-	PUNCT
aiti-13972	171	14	tuning	tune	VERB
aiti-13972	171	15	capability	capability	NOUN
aiti-13972	171	16	of	of	ADP
aiti-13972	171	17	the	the	DET
aiti-13972	171	18	hc	hc	PROPN
aiti-13972	171	19	,	,	PUNCT
aiti-13972	171	20	yielding	yield	VERB
aiti-13972	171	21	higher	high	ADJ
aiti-13972	171	22	-	-	PUNCT
aiti-13972	171	23	quality	quality	NOUN
aiti-13972	171	24	solutions	solution	NOUN
aiti-13972	171	25	and	and	CCONJ
aiti-13972	171	26	reduced	reduce	VERB
aiti-13972	171	27	risk	risk	NOUN
aiti-13972	171	28	of	of	ADP
aiti-13972	171	29	premature	premature	ADJ
aiti-13972	171	30	convergence	convergence	NOUN
aiti-13972	171	31	a.	a.	NOUN
aiti-13972	171	32	construction	construction	NOUN
aiti-13972	171	33	of	of	ADP
aiti-13972	171	34	feasible	feasible	ADJ
aiti-13972	171	35	solutions	solution	NOUN
aiti-13972	171	36	in	in	ADP
aiti-13972	171	37	acohc	acohc	NOUN
aiti-13972	171	38	,	,	PUNCT
aiti-13972	171	39	each	each	DET
aiti-13972	171	40	ant	ant	NOUN
aiti-13972	171	41	begins	begin	VERB
aiti-13972	171	42	constructing	construct	VERB
aiti-13972	171	43	a	a	DET
aiti-13972	171	44	solution	solution	NOUN
aiti-13972	171	45	by	by	ADP
aiti-13972	171	46	randomly	randomly	ADV
aiti-13972	171	47	choosing	choose	VERB
aiti-13972	171	48	an	an	DET
aiti-13972	171	49	initial	initial	ADJ
aiti-13972	171	50	feature	feature	NOUN
aiti-13972	171	51	.	.	PUNCT
aiti-13972	172	1	subsequently	subsequently	ADV
aiti-13972	172	2	,	,	PUNCT
aiti-13972	172	3	it	it	PRON
aiti-13972	172	4	selects	select	VERB
aiti-13972	172	5	the	the	DET
aiti-13972	172	6	subsequent	subsequent	ADJ
aiti-13972	172	7	feature	feature	NOUN
aiti-13972	172	8	from	from	ADP
aiti-13972	172	9	the	the	DET
aiti-13972	172	10	pool	pool	NOUN
aiti-13972	172	11	of	of	ADP
aiti-13972	172	12	unchosen	unchosen	ADJ
aiti-13972	172	13	features	feature	NOUN
aiti-13972	172	14	based	base	VERB
aiti-13972	172	15	on	on	ADP
aiti-13972	172	16	a	a	DET
aiti-13972	172	17	specified	specify	VERB
aiti-13972	172	18	probability	probability	NOUN
aiti-13972	172	19	.	.	PUNCT
aiti-13972	173	1	the	the	DET
aiti-13972	173	2	probability	probability	NOUN
aiti-13972	173	3	that	that	SCONJ
aiti-13972	173	4	an	an	DET
aiti-13972	173	5	ant_k	ant_k	NOUN
aiti-13972	173	6	,	,	PUNCT
aiti-13972	173	7	currently	currently	ADV
aiti-13972	173	8	at	at	ADP
aiti-13972	173	9	feature	feature	NOUN
aiti-13972	173	10	i	i	PRON
aiti-13972	173	11	will	will	AUX
aiti-13972	173	12	move	move	VERB
aiti-13972	173	13	to	to	PART
aiti-13972	173	14	feature	feature	VERB
aiti-13972	173	15	j	j	PROPN
aiti-13972	173	16	at	at	ADP
aiti-13972	173	17	time	time	NOUN
aiti-13972	173	18	t	t	PROPN
aiti-13972	173	19	is	be	AUX
aiti-13972	173	20	:	:	PUNCT
aiti-13972	173	21	advances	advance	NOUN
aiti-13972	173	22	in	in	ADP
aiti-13972	173	23	technology	technology	NOUN
aiti-13972	173	24	innovation	innovation	NOUN
aiti-13972	173	25	,	,	PUNCT
aiti-13972	173	26	vol	vol	NOUN
aiti-13972	173	27	.	.	PROPN
aiti-13972	174	1	9	9	NUM
aiti-13972	174	2	,	,	PUNCT
aiti-13972	174	3	no	no	INTJ
aiti-13972	174	4	.	.	NOUN
aiti-13972	174	5	4	4	NUM
aiti-13972	174	6	,	,	PUNCT
aiti-13972	174	7	2024	2024	NUM
aiti-13972	174	8	,	,	PUNCT
aiti-13972	174	9	pp	pp	ADV
aiti-13972	174	10	.	.	PUNCT
aiti-13972	175	1	319	319	NUM
aiti-13972	175	2	-	-	SYM
aiti-13972	175	3	331	331	NUM
aiti-13972	175	4	325	325	NUM
aiti-13972	175	5	(	(	PUNCT
aiti-13972	175	6	(	(	PUNCT
aiti-13972	175	7	)	)	PUNCT
aiti-13972	175	8	)	)	PUNCT
aiti-13972	176	1	(	(	PUNCT
aiti-13972	176	2	(	(	PUNCT
aiti-13972	176	3	)	)	PUNCT
aiti-13972	176	4	)	)	PUNCT
aiti-13972	176	5	(	(	PUNCT
aiti-13972	176	6	)	)	PUNCT
aiti-13972	176	7	,	,	PUNCT
aiti-13972	176	8	(	(	PUNCT
aiti-13972	176	9	(	(	PUNCT
aiti-13972	176	10	)	)	PUNCT
aiti-13972	176	11	)	)	PUNCT
aiti-13972	177	1	(	(	PUNCT
aiti-13972	177	2	(	(	PUNCT
aiti-13972	177	3	)	)	PUNCT
aiti-13972	177	4	)	)	PUNCT
aiti-13972	177	5	α	α	X
aiti-13972	177	6	β	β	X
aiti-13972	177	7	α	α	X
aiti-13972	177	8	β	β	X
aiti-13972	177	9	τ	τ	PROPN
aiti-13972	177	10	η	η	PROPN
aiti-13972	177	11	τ	τ	PROPN
aiti-13972	177	12	η	η	PROPN
aiti-13972	177	13	∈	∈	PROPN
aiti-13972	177	14	=	=	SYM
aiti-13972	177	15	∈	∈	PROPN
aiti-13972	177	16			X
aiti-13972	178	1	k	k	PROPN
aiti-13972	178	2	jn	jn	PROPN
aiti-13972	179	1	k	k	PROPN
aiti-13972	179	2	ki	ki	PROPN
aiti-13972	180	1	i	i	PRON
aiti-13972	180	2	i	i	INTJ
aiti-13972	181	1	j	j	PROPN
aiti-13972	181	2	j	j	PROPN
aiti-13972	181	3	jj	jj	PROPN
aiti-13972	181	4	t	t	PROPN
aiti-13972	181	5	t	t	PROPN
aiti-13972	181	6	p	p	PROPN
aiti-13972	181	7	t	t	PROPN
aiti-13972	181	8	j	j	PROPN
aiti-13972	181	9	n	n	ADP
aiti-13972	181	10	t	t	PROPN
aiti-13972	181	11	t	t	PROPN
aiti-13972	181	12	(	(	PUNCT
aiti-13972	181	13	2	2	NUM
aiti-13972	181	14	)	)	PUNCT
aiti-13972	181	15	where	where	SCONJ
aiti-13972	181	16	the	the	DET
aiti-13972	181	17	characteristics	characteristic	NOUN
aiti-13972	181	18	that	that	PRON
aiti-13972	181	19	ant_k	ant_k	NOUN
aiti-13972	181	20	has	have	AUX
aiti-13972	181	21	not	not	PART
aiti-13972	181	22	selected	select	VERB
aiti-13972	181	23	yet	yet	ADV
aiti-13972	181	24	but	but	CCONJ
aiti-13972	181	25	has	have	VERB
aiti-13972	181	26	the	the	DET
aiti-13972	181	27	option	option	NOUN
aiti-13972	181	28	to	to	PART
aiti-13972	181	29	select	select	VERB
aiti-13972	181	30	from	from	ADP
aiti-13972	181	31	�	�	PROPN
aiti-13972	181	32	�	�	PROPN
aiti-13972	181	33	�	�	PROPN
aiti-13972	181	34	,	,	PUNCT
aiti-13972	181	35	which	which	PRON
aiti-13972	181	36	is	be	AUX
aiti-13972	181	37	the	the	DET
aiti-13972	181	38	viable	viable	ADJ
aiti-13972	181	39	neighborhood	neighborhood	NOUN
aiti-13972	181	40	for	for	ADP
aiti-13972	181	41	ant_k	ant_k	NOUN
aiti-13972	181	42	.	.	PUNCT
aiti-13972	182	1	it	it	PRON
aiti-13972	182	2	functions	function	VERB
aiti-13972	182	3	as	as	ADP
aiti-13972	182	4	the	the	DET
aiti-13972	182	5	memory	memory	NOUN
aiti-13972	182	6	of	of	ADP
aiti-13972	182	7	an	an	DET
aiti-13972	182	8	ant	ant	NOUN
aiti-13972	182	9	.	.	PUNCT
aiti-13972	183	1	at	at	ADP
aiti-13972	183	2	time	time	NOUN
aiti-13972	183	3	t	t	PROPN
aiti-13972	183	4	,	,	PUNCT
aiti-13972	183	5	the	the	DET
aiti-13972	183	6	heuristic	heuristic	ADJ
aiti-13972	183	7	information	information	NOUN
aiti-13972	183	8	of	of	ADP
aiti-13972	183	9	feature	feature	NOUN
aiti-13972	183	10	i	i	PRON
aiti-13972	183	11	is	be	AUX
aiti-13972	183	12	represented	represent	VERB
aiti-13972	183	13	by	by	ADP
aiti-13972	183	14	η	η	PROPN
aiti-13972	183	15	�	�	PROPN
aiti-13972	183	16	(t	(t	NOUN
aiti-13972	183	17	)	)	PUNCT
aiti-13972	183	18	.	.	PUNCT
aiti-13972	184	1	the	the	DET
aiti-13972	184	2	feature	feature	NOUN
aiti-13972	184	3	-	-	PUNCT
aiti-13972	184	4	related	relate	VERB
aiti-13972	184	5	pheromone	pheromone	NOUN
aiti-13972	184	6	value	value	NOUN
aiti-13972	184	7	at	at	ADP
aiti-13972	184	8	time	time	NOUN
aiti-13972	184	9	t	t	PROPN
aiti-13972	184	10	is	be	AUX
aiti-13972	184	11	shown	show	VERB
aiti-13972	184	12	by	by	ADP
aiti-13972	184	13	τ	τ	PROPN
aiti-13972	184	14	�	�	PROPN
aiti-13972	184	15	(t	(t	NOUN
aiti-13972	184	16	)	)	PUNCT
aiti-13972	184	17	.	.	PUNCT
aiti-13972	185	1	the	the	DET
aiti-13972	185	2	coefficients	coefficient	NOUN
aiti-13972	185	3	α	α	PROPN
aiti-13972	185	4	and	and	CCONJ
aiti-13972	185	5	β	β	PROPN
aiti-13972	185	6	represent	represent	VERB
aiti-13972	185	7	the	the	DET
aiti-13972	185	8	effect	effect	NOUN
aiti-13972	185	9	of	of	ADP
aiti-13972	185	10	pheromone	pheromone	NOUN
aiti-13972	185	11	τ	τ	PROPN
aiti-13972	185	12	and	and	CCONJ
aiti-13972	185	13	heuristic	heuristic	ADJ
aiti-13972	185	14	information	information	NOUN
aiti-13972	185	15	η	η	PROPN
aiti-13972	185	16	,	,	PUNCT
aiti-13972	185	17	respectively	respectively	ADV
aiti-13972	185	18	.	.	PUNCT
aiti-13972	186	1	the	the	DET
aiti-13972	186	2	parameters	parameter	NOUN
aiti-13972	186	3	α	α	PROPN
aiti-13972	186	4	and	and	CCONJ
aiti-13972	186	5	β	β	X
aiti-13972	186	6	are	be	AUX
aiti-13972	186	7	adjusted	adjust	VERB
aiti-13972	186	8	to	to	ADP
aiti-13972	186	9	real	real	ADJ
aiti-13972	186	10	positive	positive	ADJ
aiti-13972	186	11	values	value	NOUN
aiti-13972	186	12	following	follow	VERB
aiti-13972	186	13	the	the	DET
aiti-13972	186	14	parameter	parameter	NOUN
aiti-13972	186	15	setting	set	VERB
aiti-13972	186	16	guidelines	guideline	NOUN
aiti-13972	186	17	.	.	PUNCT
aiti-13972	187	1	b.	b.	PROPN
aiti-13972	187	2	pheromone	pheromone	NOUN
aiti-13972	187	3	updating	update	VERB
aiti-13972	187	4	the	the	DET
aiti-13972	187	5	pheromone	pheromone	NOUN
aiti-13972	187	6	update	update	NOUN
aiti-13972	187	7	equations	equation	NOUN
aiti-13972	187	8	,	,	PUNCT
aiti-13972	187	9	which	which	PRON
aiti-13972	187	10	specify	specify	VERB
aiti-13972	187	11	how	how	SCONJ
aiti-13972	187	12	to	to	PART
aiti-13972	187	13	adjust	adjust	VERB
aiti-13972	187	14	the	the	DET
aiti-13972	187	15	pheromone	pheromone	NOUN
aiti-13972	187	16	levels	level	NOUN
aiti-13972	187	17	,	,	PUNCT
aiti-13972	187	18	are	be	AUX
aiti-13972	187	19	used	use	VERB
aiti-13972	187	20	by	by	ADP
aiti-13972	187	21	all	all	DET
aiti-13972	187	22	ants	ant	NOUN
aiti-13972	187	23	to	to	PART
aiti-13972	187	24	increase	increase	VERB
aiti-13972	187	25	the	the	DET
aiti-13972	187	26	pheromone	pheromone	NOUN
aiti-13972	187	27	values	value	NOUN
aiti-13972	187	28	and	and	CCONJ
aiti-13972	187	29	update	update	VERB
aiti-13972	187	30	�	�	PROPN
aiti-13972	187	31	(	(	PUNCT
aiti-13972	187	32	�	�	PROPN
aiti-13972	187	33	)	)	PUNCT
aiti-13972	187	34	.	.	PUNCT
aiti-13972	188	1	these	these	DET
aiti-13972	188	2	equations	equation	NOUN
aiti-13972	188	3	are	be	AUX
aiti-13972	188	4	determined	determine	VERB
aiti-13972	188	5	by	by	ADP
aiti-13972	188	6	:	:	PUNCT
aiti-13972	188	7	(	(	PUNCT
aiti-13972	188	8	)	)	PUNCT
aiti-13972	188	9	(	(	PUNCT
aiti-13972	188	10	1	1	NUM
aiti-13972	188	11	)	)	PUNCT
aiti-13972	188	12	(	(	PUNCT
aiti-13972	188	13	)	)	PUNCT
aiti-13972	188	14	1	1	NUM
aiti-13972	188	15	(	(	PUNCT
aiti-13972	188	16	)	)	PUNCT
aiti-13972	188	17	τ	τ	PROPN
aiti-13972	188	18	ρ	ρ	PROPN
aiti-13972	188	19	τ+	τ+	PUNCT
aiti-13972	188	20	=	=	PUNCT
aiti-13972	188	21	×	×	NOUN
aiti-13972	188	22	−	−	PROPN
aiti-13972	189	1	+	+	CCONJ
aiti-13972	189	2	∆i	∆i	PROPN
aiti-13972	189	3	it	it	PRON
aiti-13972	189	4	t	t	X
aiti-13972	189	5	t	t	PROPN
aiti-13972	189	6	(	(	PUNCT
aiti-13972	189	7	3	3	NUM
aiti-13972	189	8	)	)	PUNCT
aiti-13972	189	9	,	,	PUNCT
aiti-13972	189	10	(	(	PUNCT
aiti-13972	189	11	)	)	PUNCT
aiti-13972	189	12	0	0	NUM
aiti-13972	189	13	,	,	PUNCT
aiti-13972	189	14	τ	τ	X
aiti-13972	189	15			ADV
aiti-13972	189	16	∆	∆	X
aiti-13972	189	17	=	=	PUNCT
aiti-13972	190	1			NUM
aiti-13972	190	2			INTJ
aiti-13972	191	1	i	i	PRON
aiti-13972	191	2	q	q	NOUN
aiti-13972	191	3	if	if	SCONJ
aiti-13972	191	4	the	the	DET
aiti-13972	191	5	ant	ant	NOUN
aiti-13972	191	6	selects	select	VERB
aiti-13972	191	7	the	the	DET
aiti-13972	191	8	feature	feature	NOUN
aiti-13972	191	9	t	t	NOUN
aiti-13972	191	10	otherwise	otherwise	ADV
aiti-13972	191	11	(	(	PUNCT
aiti-13972	191	12	4	4	X
aiti-13972	191	13	)	)	PUNCT
aiti-13972	191	14	where	where	SCONJ
aiti-13972	191	15	,	,	PUNCT
aiti-13972	191	16	δτ	δτ	PROPN
aiti-13972	191	17	�	�	PROPN
aiti-13972	191	18	�	�	PROPN
aiti-13972	191	19	is	be	AUX
aiti-13972	191	20	the	the	DET
aiti-13972	191	21	pheromone	pheromone	NOUN
aiti-13972	191	22	left	leave	VERB
aiti-13972	191	23	behind	behind	ADV
aiti-13972	191	24	by	by	ADP
aiti-13972	191	25	an	an	DET
aiti-13972	191	26	ant	ant	NOUN
aiti-13972	191	27	k	k	PROPN
aiti-13972	191	28	and	and	CCONJ
aiti-13972	191	29	found	find	VERB
aiti-13972	191	30	as	as	ADP
aiti-13972	191	31	an	an	DET
aiti-13972	191	32	efficient	efficient	ADJ
aiti-13972	191	33	solution	solution	NOUN
aiti-13972	191	34	for	for	ADP
aiti-13972	191	35	the	the	DET
aiti-13972	191	36	present	present	ADJ
aiti-13972	191	37	iteration	iteration	NOUN
aiti-13972	191	38	,	,	PUNCT
aiti-13972	191	39	τ	τ	PROPN
aiti-13972	191	40	�	�	NOUN
aiti-13972	191	41	(t	(t	NOUN
aiti-13972	191	42	)	)	PUNCT
aiti-13972	191	43	is	be	AUX
aiti-13972	191	44	the	the	DET
aiti-13972	191	45	amount	amount	NOUN
aiti-13972	191	46	of	of	ADP
aiti-13972	191	47	pheromone	pheromone	NOUN
aiti-13972	191	48	on	on	ADP
aiti-13972	191	49	the	the	DET
aiti-13972	191	50	path	path	NOUN
aiti-13972	191	51	i	i	PRON
aiti-13972	191	52	at	at	ADP
aiti-13972	191	53	time	time	NOUN
aiti-13972	191	54	t	t	PROPN
aiti-13972	191	55	,	,	PUNCT
aiti-13972	191	56	and	and	CCONJ
aiti-13972	191	57	ρ	ρ	NOUN
aiti-13972	191	58	represents	represent	VERB
aiti-13972	191	59	the	the	DET
aiti-13972	191	60	features	feature	NOUN
aiti-13972	191	61	pheromone	pheromone	NOUN
aiti-13972	191	62	evaporation	evaporation	NOUN
aiti-13972	191	63	rate	rate	NOUN
aiti-13972	191	64	(	(	PUNCT
aiti-13972	191	65	0	0	NUM
aiti-13972	191	66	<	<	X
aiti-13972	191	67	ρ	ρ	X
aiti-13972	191	68	<	<	X
aiti-13972	191	69	1	1	NUM
aiti-13972	191	70	)	)	PUNCT
aiti-13972	191	71	.	.	PUNCT
aiti-13972	192	1	given	give	VERB
aiti-13972	192	2	the	the	DET
aiti-13972	192	3	phenomenon	phenomenon	NOUN
aiti-13972	192	4	that	that	PRON
aiti-13972	192	5	ants	ant	NOUN
aiti-13972	192	6	tend	tend	VERB
aiti-13972	192	7	to	to	PART
aiti-13972	192	8	communicate	communicate	VERB
aiti-13972	192	9	with	with	ADP
aiti-13972	192	10	one	one	NOUN
aiti-13972	192	11	another	another	DET
aiti-13972	192	12	using	use	VERB
aiti-13972	192	13	the	the	DET
aiti-13972	192	14	pheromone	pheromone	NOUN
aiti-13972	192	15	value	value	NOUN
aiti-13972	192	16	in	in	ADP
aiti-13972	192	17	the	the	DET
aiti-13972	192	18	aco	aco	PROPN
aiti-13972	192	19	algorithm	algorithm	PROPN
aiti-13972	192	20	,	,	PUNCT
aiti-13972	192	21	each	each	DET
aiti-13972	192	22	ant	ant	NOUN
aiti-13972	192	23	utilized	utilize	VERB
aiti-13972	192	24	the	the	DET
aiti-13972	192	25	obtained	obtain	VERB
aiti-13972	192	26	information	information	NOUN
aiti-13972	192	27	to	to	PART
aiti-13972	192	28	propose	propose	VERB
aiti-13972	192	29	better	well	ADJ
aiti-13972	192	30	solutions	solution	NOUN
aiti-13972	192	31	,	,	PUNCT
aiti-13972	192	32	thereby	thereby	ADV
aiti-13972	192	33	increasing	increase	VERB
aiti-13972	192	34	the	the	DET
aiti-13972	192	35	efficiency	efficiency	NOUN
aiti-13972	192	36	of	of	ADP
aiti-13972	192	37	the	the	DET
aiti-13972	192	38	solutions	solution	NOUN
aiti-13972	192	39	found	find	VERB
aiti-13972	192	40	after	after	ADP
aiti-13972	192	41	several	several	ADJ
aiti-13972	192	42	iterations	iteration	NOUN
aiti-13972	192	43	.	.	PUNCT
aiti-13972	193	1	in	in	ADP
aiti-13972	193	2	eq	eq	ADP
aiti-13972	193	3	.	.	PUNCT
aiti-13972	194	1	(	(	PUNCT
aiti-13972	194	2	3	3	NUM
aiti-13972	194	3	)	)	PUNCT
aiti-13972	194	4	,	,	PUNCT
aiti-13972	194	5	the	the	DET
aiti-13972	194	6	left	left	ADJ
aiti-13972	194	7	term	term	NOUN
aiti-13972	194	8	indicates	indicate	VERB
aiti-13972	194	9	the	the	DET
aiti-13972	194	10	evaporation	evaporation	NOUN
aiti-13972	194	11	of	of	ADP
aiti-13972	194	12	pheromone	pheromone	NOUN
aiti-13972	194	13	across	across	ADP
aiti-13972	194	14	all	all	DET
aiti-13972	194	15	edges	edge	NOUN
aiti-13972	194	16	,	,	PUNCT
aiti-13972	194	17	while	while	SCONJ
aiti-13972	194	18	the	the	DET
aiti-13972	194	19	right	right	ADJ
aiti-13972	194	20	term	term	NOUN
aiti-13972	194	21	represents	represent	VERB
aiti-13972	194	22	the	the	DET
aiti-13972	194	23	increase	increase	NOUN
aiti-13972	194	24	in	in	ADP
aiti-13972	194	25	pheromone	pheromone	NOUN
aiti-13972	194	26	intensity	intensity	NOUN
aiti-13972	194	27	due	due	ADP
aiti-13972	194	28	to	to	ADP
aiti-13972	194	29	deposition	deposition	NOUN
aiti-13972	194	30	.	.	PUNCT
aiti-13972	195	1	the	the	DET
aiti-13972	195	2	time	time	NOUN
aiti-13972	195	3	complexity	complexity	NOUN
aiti-13972	195	4	of	of	ADP
aiti-13972	195	5	aco	aco	PROPN
aiti-13972	195	6	is	be	AUX
aiti-13972	195	7	given	give	VERB
aiti-13972	195	8	by	by	ADP
aiti-13972	195	9	:	:	PUNCT
aiti-13972	195	10	aco	aco	PROPN
aiti-13972	195	11	(	(	PUNCT
aiti-13972	195	12	(	(	PUNCT
aiti-13972	195	13	)	)	PUNCT
aiti-13972	195	14	)	)	PUNCT
aiti-13972	195	15	×	×	NOUN
aiti-13972	195	16	×o	×o	PROPN
aiti-13972	195	17	a	a	PRON
aiti-13972	195	18	i	i	NOUN
aiti-13972	195	19	o	o	X
aiti-13972	195	20	e	e	X
aiti-13972	195	21	(	(	PUNCT
aiti-13972	195	22	5	5	NUM
aiti-13972	195	23	)	)	PUNCT
aiti-13972	195	24	where	where	SCONJ
aiti-13972	195	25	a	a	PRON
aiti-13972	195	26	is	be	AUX
aiti-13972	195	27	the	the	DET
aiti-13972	195	28	number	number	NOUN
aiti-13972	195	29	of	of	ADP
aiti-13972	195	30	ants	ant	NOUN
aiti-13972	195	31	,	,	PUNCT
aiti-13972	195	32	iaco	iaco	PROPN
aiti-13972	195	33	is	be	AUX
aiti-13972	195	34	the	the	DET
aiti-13972	195	35	number	number	NOUN
aiti-13972	195	36	of	of	ADP
aiti-13972	195	37	iterations	iteration	NOUN
aiti-13972	195	38	of	of	ADP
aiti-13972	195	39	aco	aco	PROPN
aiti-13972	195	40	,	,	PUNCT
aiti-13972	195	41	and	and	CCONJ
aiti-13972	195	42	o(e	o(e	NUM
aiti-13972	195	43	)	)	PUNCT
aiti-13972	195	44	is	be	AUX
aiti-13972	195	45	the	the	DET
aiti-13972	195	46	complexity	complexity	NOUN
aiti-13972	195	47	of	of	ADP
aiti-13972	195	48	evaluating	evaluate	VERB
aiti-13972	195	49	the	the	DET
aiti-13972	195	50	objective	objective	ADJ
aiti-13972	195	51	function	function	NOUN
aiti-13972	195	52	for	for	ADP
aiti-13972	195	53	a	a	DET
aiti-13972	195	54	subset	subset	NOUN
aiti-13972	195	55	of	of	ADP
aiti-13972	195	56	features	feature	NOUN
aiti-13972	195	57	.	.	PUNCT
aiti-13972	196	1	after	after	SCONJ
aiti-13972	196	2	aco	aco	PROPN
aiti-13972	196	3	selects	select	VERB
aiti-13972	196	4	a	a	DET
aiti-13972	196	5	subset	subset	NOUN
aiti-13972	196	6	of	of	ADP
aiti-13972	196	7	features	feature	NOUN
aiti-13972	196	8	,	,	PUNCT
aiti-13972	196	9	hc	hc	PROPN
aiti-13972	196	10	is	be	AUX
aiti-13972	196	11	applied	apply	VERB
aiti-13972	196	12	to	to	PART
aiti-13972	196	13	further	far	ADV
aiti-13972	196	14	refine	refine	VERB
aiti-13972	196	15	this	this	DET
aiti-13972	196	16	subset	subset	NOUN
aiti-13972	196	17	.	.	PUNCT
aiti-13972	197	1	assuming	assume	VERB
aiti-13972	197	2	the	the	DET
aiti-13972	197	3	number	number	NOUN
aiti-13972	197	4	of	of	ADP
aiti-13972	197	5	iterations	iteration	NOUN
aiti-13972	197	6	for	for	ADP
aiti-13972	197	7	hc	hc	PROPN
aiti-13972	197	8	is	be	AUX
aiti-13972	197	9	ihc	ihc	PROPN
aiti-13972	197	10	,	,	PUNCT
aiti-13972	197	11	the	the	DET
aiti-13972	197	12	time	time	NOUN
aiti-13972	197	13	complexity	complexity	NOUN
aiti-13972	197	14	of	of	ADP
aiti-13972	197	15	hc	hc	PROPN
aiti-13972	197	16	is	be	AUX
aiti-13972	197	17	presented	present	VERB
aiti-13972	197	18	as	as	ADP
aiti-13972	197	19	:	:	PUNCT
aiti-13972	197	20	hc	hc	PROPN
aiti-13972	197	21	hc	hc	X
aiti-13972	197	22	(	(	PUNCT
aiti-13972	197	23	(	(	PUNCT
aiti-13972	197	24	)	)	PUNCT
aiti-13972	197	25	)	)	PUNCT
aiti-13972	197	26	×o	×o	NOUN
aiti-13972	198	1	i	i	PRON
aiti-13972	198	2	o	o	NOUN
aiti-13972	198	3	e	e	X
aiti-13972	198	4	(	(	PUNCT
aiti-13972	198	5	6	6	NUM
aiti-13972	198	6	)	)	PUNCT
aiti-13972	198	7	where	where	SCONJ
aiti-13972	198	8	ihc	ihc	PROPN
aiti-13972	198	9	is	be	AUX
aiti-13972	198	10	the	the	DET
aiti-13972	198	11	number	number	NOUN
aiti-13972	198	12	of	of	ADP
aiti-13972	198	13	iterations	iteration	NOUN
aiti-13972	198	14	of	of	ADP
aiti-13972	198	15	hc	hc	PROPN
aiti-13972	198	16	,	,	PUNCT
aiti-13972	198	17	and	and	CCONJ
aiti-13972	198	18	o(ehc	o(ehc	NOUN
aiti-13972	198	19	)	)	PUNCT
aiti-13972	198	20	is	be	AUX
aiti-13972	198	21	the	the	DET
aiti-13972	198	22	complexity	complexity	NOUN
aiti-13972	198	23	of	of	ADP
aiti-13972	198	24	evaluating	evaluate	VERB
aiti-13972	198	25	the	the	DET
aiti-13972	198	26	objective	objective	ADJ
aiti-13972	198	27	function	function	NOUN
aiti-13972	198	28	for	for	ADP
aiti-13972	198	29	the	the	DET
aiti-13972	198	30	feature	feature	NOUN
aiti-13972	198	31	subset	subset	NOUN
aiti-13972	198	32	selected	select	VERB
aiti-13972	198	33	by	by	ADP
aiti-13972	198	34	aco	aco	PROPN
aiti-13972	198	35	.	.	PUNCT
aiti-13972	199	1	the	the	DET
aiti-13972	199	2	combined	combine	VERB
aiti-13972	199	3	time	time	NOUN
aiti-13972	199	4	complexity	complexity	NOUN
aiti-13972	199	5	of	of	ADP
aiti-13972	199	6	the	the	DET
aiti-13972	199	7	hybrid	hybrid	NOUN
aiti-13972	199	8	approach	approach	NOUN
aiti-13972	199	9	,	,	PUNCT
aiti-13972	199	10	where	where	SCONJ
aiti-13972	199	11	aco	aco	PROPN
aiti-13972	199	12	is	be	AUX
aiti-13972	199	13	followed	follow	VERB
aiti-13972	199	14	by	by	ADP
aiti-13972	199	15	hc	hc	NOUN
aiti-13972	199	16	,	,	PUNCT
aiti-13972	199	17	is	be	AUX
aiti-13972	199	18	the	the	DET
aiti-13972	199	19	sum	sum	NOUN
aiti-13972	199	20	of	of	ADP
aiti-13972	199	21	the	the	DET
aiti-13972	199	22	time	time	NOUN
aiti-13972	199	23	complexities	complexity	NOUN
aiti-13972	199	24	of	of	ADP
aiti-13972	199	25	the	the	DET
aiti-13972	199	26	two	two	NUM
aiti-13972	199	27	phases	phase	NOUN
aiti-13972	199	28	:	:	PUNCT
aiti-13972	199	29	aco	aco	PROPN
aiti-13972	199	30	hc	hc	PROPN
aiti-13972	199	31	hc	hc	PROPN
aiti-13972	199	32	(	(	PUNCT
aiti-13972	199	33	(	(	PUNCT
aiti-13972	199	34	)	)	PUNCT
aiti-13972	199	35	(	(	PUNCT
aiti-13972	199	36	(	(	PUNCT
aiti-13972	199	37	)	)	PUNCT
aiti-13972	199	38	)	)	PUNCT
aiti-13972	199	39	×	×	NOUN
aiti-13972	199	40	×	×	NOUN
aiti-13972	199	41	+	+	CCONJ
aiti-13972	199	42	×o	×o	ADP
aiti-13972	199	43	a	a	PRON
aiti-13972	199	44	i	i	NOUN
aiti-13972	199	45	o	o	X
aiti-13972	200	1	e	e	X
aiti-13972	200	2	o	o	X
aiti-13972	201	1	i	i	PRON
aiti-13972	201	2	o	o	X
aiti-13972	201	3	e	e	X
aiti-13972	201	4	(	(	PUNCT
aiti-13972	201	5	7	7	X
aiti-13972	201	6	)	)	PUNCT
aiti-13972	201	7	the	the	DET
aiti-13972	201	8	summary	summary	NOUN
aiti-13972	201	9	of	of	ADP
aiti-13972	201	10	the	the	DET
aiti-13972	201	11	acohc	acohc	PROPN
aiti-13972	201	12	algorithm	algorithm	NOUN
aiti-13972	201	13	is	be	AUX
aiti-13972	201	14	mentioned	mention	VERB
aiti-13972	201	15	as	as	SCONJ
aiti-13972	201	16	follows	follow	VERB
aiti-13972	201	17	:	:	PUNCT
aiti-13972	202	1	input	input	NOUN
aiti-13972	202	2	:	:	PUNCT
aiti-13972	202	3	initial	initial	ADJ
aiti-13972	202	4	features	feature	NOUN
aiti-13972	202	5	of	of	ADP
aiti-13972	202	6	the	the	DET
aiti-13972	202	7	dataset	dataset	ADJ
aiti-13972	202	8	output	output	NOUN
aiti-13972	202	9	:	:	PUNCT
aiti-13972	202	10	optimized	optimize	VERB
aiti-13972	202	11	feature	feature	NOUN
aiti-13972	202	12	set	set	VERB
aiti-13972	202	13	initialization	initialization	NOUN
aiti-13972	202	14	:	:	PUNCT
aiti-13972	203	1	[	[	X
aiti-13972	203	2	number	number	NOUN
aiti-13972	203	3	of	of	ADP
aiti-13972	203	4	generations	generation	NOUN
aiti-13972	203	5	,	,	PUNCT
aiti-13972	203	6	number	number	NOUN
aiti-13972	203	7	of	of	ADP
aiti-13972	203	8	ants	ant	NOUN
aiti-13972	203	9	,	,	PUNCT
aiti-13972	203	10	pheromone	pheromone	NOUN
aiti-13972	203	11	value	value	NOUN
aiti-13972	203	12	(	(	PUNCT
aiti-13972	203	13	r	r	NOUN
aiti-13972	203	14	)	)	PUNCT
aiti-13972	203	15	,	,	PUNCT
aiti-13972	203	16	maximum	maximum	ADJ
aiti-13972	203	17	features	feature	NOUN
aiti-13972	203	18	,	,	PUNCT
aiti-13972	203	19	heuristic	heuristic	ADJ
aiti-13972	203	20	value	value	NOUN
aiti-13972	203	21	(	(	PUNCT
aiti-13972	203	22	q	q	NOUN
aiti-13972	203	23	)	)	PUNCT
aiti-13972	203	24	,	,	PUNCT
aiti-13972	203	25	pheromone	pheromone	NOUN
aiti-13972	203	26	evaporation	evaporation	NOUN
aiti-13972	203	27	rate	rate	NOUN
aiti-13972	203	28	(	(	PUNCT
aiti-13972	203	29	�	�	PROPN
aiti-13972	203	30	)	)	PUNCT
aiti-13972	203	31	,	,	PUNCT
aiti-13972	203	32	�	�	PROPN
aiti-13972	203	33	,	,	PUNCT
aiti-13972	203	34	�	�	PROPN
aiti-13972	203	35	]	]	PUNCT
aiti-13972	203	36	1	1	NUM
aiti-13972	203	37	repeat	repeat	NOUN
aiti-13972	203	38	for	for	ADP
aiti-13972	203	39	each	each	DET
aiti-13972	203	40	iteration	iteration	NOUN
aiti-13972	203	41	326	326	NUM
aiti-13972	203	42	advances	advance	NOUN
aiti-13972	203	43	in	in	ADP
aiti-13972	203	44	technology	technology	NOUN
aiti-13972	203	45	innovation	innovation	NOUN
aiti-13972	203	46	,	,	PUNCT
aiti-13972	203	47	vol	vol	NOUN
aiti-13972	203	48	.	.	PROPN
aiti-13972	203	49	9	9	NUM
aiti-13972	203	50	,	,	PUNCT
aiti-13972	203	51	no	no	INTJ
aiti-13972	203	52	.	.	NOUN
aiti-13972	203	53	4	4	NUM
aiti-13972	203	54	,	,	PUNCT
aiti-13972	203	55	2024	2024	NUM
aiti-13972	203	56	,	,	PUNCT
aiti-13972	203	57	pp	pp	ADV
aiti-13972	203	58	.	.	PUNCT
aiti-13972	204	1	319	319	NUM
aiti-13972	204	2	-	-	SYM
aiti-13972	204	3	331	331	NUM
aiti-13972	204	4	2	2	NUM
aiti-13972	204	5	for	for	ADP
aiti-13972	204	6	each	each	DET
aiti-13972	204	7	ant	ant	ADJ
aiti-13972	204	8	3	3	NUM
aiti-13972	204	9	select	select	ADJ
aiti-13972	204	10	distinct	distinct	ADJ
aiti-13972	204	11	features	feature	NOUN
aiti-13972	204	12	randomly	randomly	ADV
aiti-13972	204	13	4	4	NUM
aiti-13972	204	14	calculate	calculate	NOUN
aiti-13972	204	15	probabilities	probability	NOUN
aiti-13972	204	16	for	for	ADP
aiti-13972	204	17	selecting	select	VERB
aiti-13972	204	18	features	feature	NOUN
aiti-13972	204	19	based	base	VERB
aiti-13972	204	20	on	on	ADP
aiti-13972	204	21	pheromone	pheromone	NOUN
aiti-13972	204	22	levels	level	NOUN
aiti-13972	204	23	5	5	NUM
aiti-13972	204	24	the	the	DET
aiti-13972	204	25	selected	select	VERB
aiti-13972	204	26	features	feature	NOUN
aiti-13972	204	27	are	be	AUX
aiti-13972	204	28	appended	append	VERB
aiti-13972	204	29	to	to	ADP
aiti-13972	204	30	the	the	DET
aiti-13972	204	31	ant_solutions	ant_solution	NOUN
aiti-13972	204	32	list	list	VERB
aiti-13972	204	33	6	6	NUM
aiti-13972	204	34	end	end	NOUN
aiti-13972	204	35	for	for	SCONJ
aiti-13972	204	36	7	7	NUM
aiti-13972	204	37	evaluate	evaluate	VERB
aiti-13972	204	38	the	the	DET
aiti-13972	204	39	performance	performance	NOUN
aiti-13972	204	40	(	(	PUNCT
aiti-13972	204	41	accuracy	accuracy	NOUN
aiti-13972	204	42	)	)	PUNCT
aiti-13972	204	43	of	of	ADP
aiti-13972	204	44	each	each	DET
aiti-13972	204	45	solution	solution	NOUN
aiti-13972	204	46	8	8	NUM
aiti-13972	204	47	find	find	VERB
aiti-13972	204	48	the	the	DET
aiti-13972	204	49	index	index	NOUN
aiti-13972	204	50	of	of	ADP
aiti-13972	204	51	the	the	DET
aiti-13972	204	52	ant	ant	ADJ
aiti-13972	204	53	solution	solution	NOUN
aiti-13972	204	54	with	with	ADP
aiti-13972	204	55	the	the	DET
aiti-13972	204	56	highest	high	ADJ
aiti-13972	204	57	accuracy	accuracy	NOUN
aiti-13972	204	58	using	use	VERB
aiti-13972	204	59	np.argmax	np.argmax	NUM
aiti-13972	204	60	9	9	NUM
aiti-13972	204	61	if	if	SCONJ
aiti-13972	204	62	the	the	DET
aiti-13972	204	63	accuracy	accuracy	NOUN
aiti-13972	204	64	of	of	ADP
aiti-13972	204	65	this	this	DET
aiti-13972	204	66	best	good	ADJ
aiti-13972	204	67	ant	ant	ADJ
aiti-13972	204	68	solution	solution	NOUN
aiti-13972	204	69	>	>	PUNCT
aiti-13972	204	70	the	the	DET
aiti-13972	204	71	best	good	ADJ
aiti-13972	204	72	accuracy	accuracy	NOUN
aiti-13972	204	73	10	10	NUM
aiti-13972	204	74	best_accuracy	best_accuracy	NOUN
aiti-13972	204	75	=	=	NOUN
aiti-13972	204	76	ant_accuracies[best_ant_index	ant_accuracies[best_ant_index	NOUN
aiti-13972	204	77	]	]	PUNCT
aiti-13972	204	78	11	11	NUM
aiti-13972	204	79	best_solution	best_solution	NOUN
aiti-13972	204	80	=	=	SYM
aiti-13972	204	81	ant_solutions[best_ant_index	ant_solutions[best_ant_index	NOUN
aiti-13972	204	82	]	]	PUNCT
aiti-13972	204	83	12	12	NUM
aiti-13972	204	84	end	end	NOUN
aiti-13972	204	85	if	if	SCONJ
aiti-13972	204	86	(	(	PUNCT
aiti-13972	204	87	after	after	ADP
aiti-13972	204	88	evaluating	evaluate	VERB
aiti-13972	204	89	all	all	DET
aiti-13972	204	90	ant	ant	ADJ
aiti-13972	204	91	solutions	solution	NOUN
aiti-13972	204	92	and	and	CCONJ
aiti-13972	204	93	selecting	select	VERB
aiti-13972	204	94	the	the	DET
aiti-13972	204	95	best	good	ADJ
aiti-13972	204	96	one	one	NUM
aiti-13972	204	97	)	)	PUNCT
aiti-13972	204	98	13	13	NUM
aiti-13972	204	99	updates	update	VERB
aiti-13972	204	100	the	the	DET
aiti-13972	204	101	pheromone	pheromone	NOUN
aiti-13972	204	102	14	14	NUM
aiti-13972	204	103	return	return	NOUN
aiti-13972	204	104	best_solution	best_solution	NOUN
aiti-13972	204	105	that	that	PRON
aiti-13972	204	106	represents	represent	VERB
aiti-13972	204	107	the	the	DET
aiti-13972	204	108	highest	high	ADJ
aiti-13972	204	109	accuracy	accuracy	NOUN
aiti-13972	204	110	feature	feature	NOUN
aiti-13972	204	111	subset	subset	VERB
aiti-13972	204	112	15	15	NUM
aiti-13972	204	113	end	end	NOUN
aiti-13972	204	114	for	for	ADP
aiti-13972	204	115	initially	initially	ADV
aiti-13972	204	116	,	,	PUNCT
aiti-13972	204	117	the	the	DET
aiti-13972	204	118	feature	feature	NOUN
aiti-13972	204	119	set	set	NOUN
aiti-13972	204	120	is	be	AUX
aiti-13972	204	121	optimized	optimize	VERB
aiti-13972	204	122	using	use	VERB
aiti-13972	204	123	the	the	DET
aiti-13972	204	124	aco	aco	PROPN
aiti-13972	204	125	algorithm	algorithm	NOUN
aiti-13972	204	126	.	.	PUNCT
aiti-13972	205	1	to	to	PART
aiti-13972	205	2	further	far	ADV
aiti-13972	205	3	reduce	reduce	VERB
aiti-13972	205	4	the	the	DET
aiti-13972	205	5	number	number	NOUN
aiti-13972	205	6	of	of	ADP
aiti-13972	205	7	features	feature	NOUN
aiti-13972	205	8	,	,	PUNCT
aiti-13972	205	9	the	the	DET
aiti-13972	205	10	optimized	optimize	VERB
aiti-13972	205	11	set	set	NOUN
aiti-13972	205	12	of	of	ADP
aiti-13972	205	13	features	feature	NOUN
aiti-13972	205	14	will	will	AUX
aiti-13972	205	15	be	be	AUX
aiti-13972	205	16	input	input	VERB
aiti-13972	205	17	into	into	ADP
aiti-13972	205	18	the	the	DET
aiti-13972	205	19	hc	hc	PROPN
aiti-13972	205	20	algorithm	algorithm	NOUN
aiti-13972	205	21	.	.	PUNCT
aiti-13972	206	1	the	the	DET
aiti-13972	206	2	pseudocode	pseudocode	NOUN
aiti-13972	206	3	of	of	ADP
aiti-13972	206	4	the	the	DET
aiti-13972	206	5	hc	hc	PROPN
aiti-13972	206	6	algorithm	algorithm	NOUN
aiti-13972	206	7	is	be	AUX
aiti-13972	206	8	given	give	VERB
aiti-13972	206	9	below	below	ADP
aiti-13972	206	10	:	:	PUNCT
aiti-13972	206	11	input	input	NOUN
aiti-13972	206	12	:	:	PUNCT
aiti-13972	206	13	initial	initial	ADJ
aiti-13972	206	14	set	set	NOUN
aiti-13972	206	15	of	of	ADP
aiti-13972	206	16	features	feature	NOUN
aiti-13972	206	17	obtained	obtain	VERB
aiti-13972	206	18	in	in	ADP
aiti-13972	206	19	aco	aco	PROPN
aiti-13972	206	20	output	output	NOUN
aiti-13972	206	21	:	:	PUNCT
aiti-13972	206	22	final	final	ADJ
aiti-13972	206	23	optimized	optimize	VERB
aiti-13972	206	24	feature	feature	NOUN
aiti-13972	206	25	set	set	VERB
aiti-13972	206	26	1	1	NUM
aiti-13972	206	27	current	current	ADJ
aiti-13972	206	28	solution	solution	NOUN
aiti-13972	206	29	=	=	SYM
aiti-13972	206	30	initial	initial	ADJ
aiti-13972	206	31	solution	solution	NOUN
aiti-13972	206	32	2	2	NUM
aiti-13972	206	33	repeat	repeat	NOUN
aiti-13972	206	34	3	3	NUM
aiti-13972	206	35	for	for	ADP
aiti-13972	206	36	all	all	DET
aiti-13972	206	37	neighbors	neighbor	NOUN
aiti-13972	206	38	of	of	ADP
aiti-13972	206	39	the	the	DET
aiti-13972	206	40	current	current	ADJ
aiti-13972	206	41	solution	solution	NOUN
aiti-13972	206	42	do	do	VERB
aiti-13972	206	43	4	4	NUM
aiti-13972	206	44	obtain	obtain	VERB
aiti-13972	206	45	a	a	DET
aiti-13972	206	46	random	random	ADJ
aiti-13972	206	47	neighbor	neighbor	NOUN
aiti-13972	206	48	5	5	NUM
aiti-13972	206	49	if	if	SCONJ
aiti-13972	206	50	accuracy	accuracy	NOUN
aiti-13972	206	51	>	>	X
aiti-13972	206	52	best	good	ADJ
aiti-13972	206	53	accuracy	accuracy	NOUN
aiti-13972	206	54	then	then	ADV
aiti-13972	206	55	6	6	NUM
aiti-13972	206	56	best	good	ADJ
aiti-13972	206	57	accuracy	accuracy	NOUN
aiti-13972	206	58	=	=	SYM
aiti-13972	206	59	neighbor	neighbor	NOUN
aiti-13972	206	60	solution	solution	NOUN
aiti-13972	206	61	7	7	NUM
aiti-13972	206	62	best	good	ADJ
aiti-13972	206	63	solution	solution	NOUN
aiti-13972	206	64	=	=	NOUN
aiti-13972	206	65	index	index	NOUN
aiti-13972	206	66	of	of	ADP
aiti-13972	206	67	the	the	DET
aiti-13972	206	68	neighbor	neighbor	NOUN
aiti-13972	206	69	solution	solution	NOUN
aiti-13972	206	70	8	8	NUM
aiti-13972	206	71	end	end	NOUN
aiti-13972	206	72	if	if	SCONJ
aiti-13972	206	73	9	9	NUM
aiti-13972	206	74	end	end	NOUN
aiti-13972	206	75	for	for	ADP
aiti-13972	206	76	10	10	NUM
aiti-13972	206	77	until	until	ADP
aiti-13972	206	78	the	the	DET
aiti-13972	206	79	end	end	NOUN
aiti-13972	206	80	of	of	ADP
aiti-13972	206	81	the	the	DET
aiti-13972	206	82	iterations	iteration	NOUN
aiti-13972	206	83	the	the	DET
aiti-13972	206	84	rationale	rationale	NOUN
aiti-13972	206	85	for	for	ADP
aiti-13972	206	86	choosing	choose	VERB
aiti-13972	206	87	aco	aco	PROPN
aiti-13972	206	88	and	and	CCONJ
aiti-13972	206	89	hc	hc	PRON
aiti-13972	206	90	specifically	specifically	ADV
aiti-13972	206	91	for	for	ADP
aiti-13972	206	92	feature	feature	NOUN
aiti-13972	206	93	selection	selection	NOUN
aiti-13972	206	94	in	in	ADP
aiti-13972	206	95	cardiovascular	cardiovascular	ADJ
aiti-13972	206	96	risk	risk	NOUN
aiti-13972	206	97	assessment	assessment	NOUN
aiti-13972	206	98	lies	lie	VERB
aiti-13972	206	99	in	in	ADP
aiti-13972	206	100	their	their	PRON
aiti-13972	206	101	complementary	complementary	ADJ
aiti-13972	206	102	strengths	strength	NOUN
aiti-13972	206	103	.	.	PUNCT
aiti-13972	207	1	aco	aco	PROPN
aiti-13972	207	2	renders	render	VERB
aiti-13972	207	3	a	a	DET
aiti-13972	207	4	robust	robust	ADJ
aiti-13972	207	5	global	global	ADJ
aiti-13972	207	6	search	search	NOUN
aiti-13972	207	7	capability	capability	NOUN
aiti-13972	207	8	,	,	PUNCT
aiti-13972	207	9	efficiently	efficiently	ADV
aiti-13972	207	10	handling	handle	VERB
aiti-13972	207	11	high	high	ADJ
aiti-13972	207	12	-	-	PUNCT
aiti-13972	207	13	dimensional	dimensional	ADJ
aiti-13972	207	14	data	datum	NOUN
aiti-13972	207	15	and	and	CCONJ
aiti-13972	207	16	avoiding	avoid	VERB
aiti-13972	207	17	local	local	ADJ
aiti-13972	207	18	optimum	optimum	NOUN
aiti-13972	207	19	,	,	PUNCT
aiti-13972	207	20	while	while	SCONJ
aiti-13972	207	21	hc	hc	PROPN
aiti-13972	207	22	offers	offer	VERB
aiti-13972	207	23	effective	effective	ADJ
aiti-13972	207	24	local	local	ADJ
aiti-13972	207	25	optimization	optimization	NOUN
aiti-13972	207	26	,	,	PUNCT
aiti-13972	207	27	refining	refine	VERB
aiti-13972	207	28	the	the	DET
aiti-13972	207	29	feature	feature	NOUN
aiti-13972	207	30	sets	set	NOUN
aiti-13972	207	31	identified	identify	VERB
aiti-13972	207	32	by	by	ADP
aiti-13972	207	33	aco	aco	PROPN
aiti-13972	207	34	.	.	PUNCT
aiti-13972	208	1	this	this	DET
aiti-13972	208	2	combination	combination	NOUN
aiti-13972	208	3	ensures	ensure	VERB
aiti-13972	208	4	the	the	DET
aiti-13972	208	5	selection	selection	NOUN
aiti-13972	208	6	of	of	ADP
aiti-13972	208	7	high	high	ADJ
aiti-13972	208	8	-	-	PUNCT
aiti-13972	208	9	quality	quality	NOUN
aiti-13972	208	10	feature	feature	NOUN
aiti-13972	208	11	subsets	subset	NOUN
aiti-13972	208	12	,	,	PUNCT
aiti-13972	208	13	facilitating	facilitate	VERB
aiti-13972	208	14	more	more	ADV
aiti-13972	208	15	accurate	accurate	ADJ
aiti-13972	208	16	and	and	CCONJ
aiti-13972	208	17	reliable	reliable	ADJ
aiti-13972	208	18	predictive	predictive	ADJ
aiti-13972	208	19	models	model	NOUN
aiti-13972	208	20	for	for	ADP
aiti-13972	208	21	cardiovascular	cardiovascular	ADJ
aiti-13972	208	22	risk	risk	NOUN
aiti-13972	208	23	assessment	assessment	NOUN
aiti-13972	208	24	.	.	PUNCT
aiti-13972	209	1	this	this	DET
aiti-13972	209	2	study	study	NOUN
aiti-13972	209	3	operates	operate	VERB
aiti-13972	209	4	under	under	ADP
aiti-13972	209	5	the	the	DET
aiti-13972	209	6	following	following	ADJ
aiti-13972	209	7	assumptions	assumption	NOUN
aiti-13972	209	8	:	:	PUNCT
aiti-13972	209	9	(	(	PUNCT
aiti-13972	209	10	1	1	X
aiti-13972	209	11	)	)	PUNCT
aiti-13972	209	12	the	the	DET
aiti-13972	209	13	dataset	dataset	NOUN
aiti-13972	209	14	is	be	AUX
aiti-13972	209	15	of	of	ADP
aiti-13972	209	16	high	high	ADJ
aiti-13972	209	17	quality	quality	NOUN
aiti-13972	209	18	and	and	CCONJ
aiti-13972	209	19	representative	representative	NOUN
aiti-13972	209	20	,	,	PUNCT
aiti-13972	209	21	containing	contain	VERB
aiti-13972	209	22	relevant	relevant	ADJ
aiti-13972	209	23	features	feature	NOUN
aiti-13972	209	24	for	for	ADP
aiti-13972	209	25	heart	heart	NOUN
aiti-13972	209	26	disease	disease	NOUN
aiti-13972	209	27	prediction	prediction	NOUN
aiti-13972	209	28	.	.	PUNCT
aiti-13972	210	1	(	(	PUNCT
aiti-13972	210	2	2	2	X
aiti-13972	210	3	)	)	PUNCT
aiti-13972	210	4	parameter	parameter	NOUN
aiti-13972	210	5	settings	setting	NOUN
aiti-13972	210	6	for	for	ADP
aiti-13972	210	7	both	both	DET
aiti-13972	210	8	aco	aco	PROPN
aiti-13972	210	9	and	and	CCONJ
aiti-13972	210	10	hc	hc	PROPN
aiti-13972	210	11	are	be	AUX
aiti-13972	210	12	optimal	optimal	ADJ
aiti-13972	210	13	or	or	CCONJ
aiti-13972	210	14	near	near	ADV
aiti-13972	210	15	-	-	PUNCT
aiti-13972	210	16	optimal	optimal	ADJ
aiti-13972	210	17	,	,	PUNCT
aiti-13972	210	18	enhancing	enhance	VERB
aiti-13972	210	19	the	the	DET
aiti-13972	210	20	feature	feature	NOUN
aiti-13972	210	21	selection	selection	NOUN
aiti-13972	210	22	process	process	NOUN
aiti-13972	210	23	.	.	PUNCT
aiti-13972	211	1	4	4	X
aiti-13972	211	2	.	.	NOUN
aiti-13972	211	3	results	result	NOUN
aiti-13972	211	4	and	and	CCONJ
aiti-13972	211	5	discussion	discussion	NOUN
aiti-13972	211	6	in	in	ADP
aiti-13972	211	7	the	the	DET
aiti-13972	211	8	experiment	experiment	NOUN
aiti-13972	211	9	,	,	PUNCT
aiti-13972	211	10	the	the	DET
aiti-13972	211	11	parameters	parameter	NOUN
aiti-13972	211	12	are	be	AUX
aiti-13972	211	13	set	set	VERB
aiti-13972	211	14	empirically	empirically	ADV
aiti-13972	211	15	as	as	ADP
aiti-13972	211	16	pheromone	pheromone	NOUN
aiti-13972	211	17	constant	constant	ADJ
aiti-13972	211	18	(	(	PUNCT
aiti-13972	211	19	updating	updating	NOUN
aiti-13972	211	20	)	)	PUNCT
aiti-13972	211	21	α	α	NOUN
aiti-13972	212	1	=	=	SYM
aiti-13972	212	2	1	1	NUM
aiti-13972	212	3	,	,	PUNCT
aiti-13972	212	4	heuristic	heuristic	ADJ
aiti-13972	212	5	information	information	NOUN
aiti-13972	212	6	ß	ß	NOUN
aiti-13972	212	7	=	=	SYM
aiti-13972	212	8	1	1	NUM
aiti-13972	212	9	,	,	PUNCT
aiti-13972	212	10	number	number	NOUN
aiti-13972	212	11	of	of	ADP
aiti-13972	212	12	ants	ant	NOUN
aiti-13972	212	13	=	=	SYM
aiti-13972	212	14	10	10	NUM
aiti-13972	212	15	,	,	PUNCT
aiti-13972	212	16	number	number	NOUN
aiti-13972	212	17	of	of	ADP
aiti-13972	212	18	iterations	iteration	NOUN
aiti-13972	212	19	=	=	SYM
aiti-13972	212	20	50	50	NUM
aiti-13972	212	21	,	,	PUNCT
aiti-13972	212	22	pheromone	pheromone	NOUN
aiti-13972	212	23	decay	decay	NOUN
aiti-13972	212	24	(	(	PUNCT
aiti-13972	212	25	trail	trail	NOUN
aiti-13972	212	26	evaporates	evaporate	VERB
aiti-13972	212	27	)	)	PUNCT
aiti-13972	212	28	�	�	PROPN
aiti-13972	212	29	=	=	NUM
aiti-13972	212	30	0.5	0.5	NUM
aiti-13972	212	31	.	.	PUNCT
aiti-13972	213	1	the	the	DET
aiti-13972	213	2	effectiveness	effectiveness	NOUN
aiti-13972	213	3	of	of	ADP
aiti-13972	213	4	the	the	DET
aiti-13972	213	5	proposed	propose	VERB
aiti-13972	213	6	approach	approach	NOUN
aiti-13972	213	7	for	for	ADP
aiti-13972	213	8	classification	classification	NOUN
aiti-13972	213	9	is	be	AUX
aiti-13972	213	10	assessed	assess	VERB
aiti-13972	213	11	using	use	VERB
aiti-13972	213	12	logistic	logistic	ADJ
aiti-13972	213	13	regression	regression	NOUN
aiti-13972	213	14	(	(	PUNCT
aiti-13972	213	15	lr	lr	NOUN
aiti-13972	213	16	)	)	PUNCT
aiti-13972	213	17	,	,	PUNCT
aiti-13972	213	18	decision	decision	NOUN
aiti-13972	213	19	tree	tree	NOUN
aiti-13972	213	20	(	(	PUNCT
aiti-13972	213	21	dt	dt	PROPN
aiti-13972	213	22	)	)	PUNCT
aiti-13972	213	23	,	,	PUNCT
aiti-13972	213	24	random	random	ADJ
aiti-13972	213	25	forest	forest	NOUN
aiti-13972	213	26	(	(	PUNCT
aiti-13972	213	27	rf	rf	NOUN
aiti-13972	213	28	)	)	PUNCT
aiti-13972	213	29	,	,	PUNCT
aiti-13972	213	30	and	and	CCONJ
aiti-13972	213	31	svm	svm	ADJ
aiti-13972	213	32	classifiers	classifier	NOUN
aiti-13972	213	33	.	.	PUNCT
aiti-13972	214	1	the	the	DET
aiti-13972	214	2	experimental	experimental	ADJ
aiti-13972	214	3	configuration	configuration	NOUN
aiti-13972	214	4	entails	entail	VERB
aiti-13972	214	5	implementing	implement	VERB
aiti-13972	214	6	the	the	DET
aiti-13972	214	7	proposed	propose	VERB
aiti-13972	214	8	method	method	NOUN
aiti-13972	214	9	using	use	VERB
aiti-13972	214	10	python	python	NOUN
aiti-13972	214	11	3.0	3.0	NUM
aiti-13972	214	12	programming	programming	NOUN
aiti-13972	214	13	language	language	NOUN
aiti-13972	214	14	.	.	PUNCT
aiti-13972	215	1	the	the	DET
aiti-13972	215	2	interactive	interactive	ADJ
aiti-13972	215	3	coding	code	VERB
aiti-13972	215	4	environment	environment	NOUN
aiti-13972	215	5	is	be	AUX
aiti-13972	215	6	provided	provide	VERB
aiti-13972	215	7	by	by	ADP
aiti-13972	215	8	google	google	PROPN
aiti-13972	215	9	colab	colab	PROPN
aiti-13972	215	10	to	to	PART
aiti-13972	215	11	perform	perform	VERB
aiti-13972	215	12	experiments	experiment	NOUN
aiti-13972	215	13	in	in	ADP
aiti-13972	215	14	python	python	PROPN
aiti-13972	215	15	.	.	PUNCT
aiti-13972	216	1	lr	lr	PROPN
aiti-13972	216	2	employed	employ	VERB
aiti-13972	216	3	the	the	DET
aiti-13972	216	4	‘	'	PUNCT
aiti-13972	216	5	lbfgs	lbfgs	ADJ
aiti-13972	216	6	’	'	PUNCT
aiti-13972	216	7	solver	solver	VERB
aiti-13972	216	8	with	with	ADP
aiti-13972	216	9	l2	l2	NOUN
aiti-13972	216	10	regularization	regularization	NOUN
aiti-13972	216	11	and	and	CCONJ
aiti-13972	216	12	a	a	DET
aiti-13972	216	13	high	high	ADJ
aiti-13972	216	14	number	number	NOUN
aiti-13972	216	15	of	of	ADP
aiti-13972	216	16	iterations	iteration	NOUN
aiti-13972	216	17	(	(	PUNCT
aiti-13972	216	18	max_iter	max_iter	NOUN
aiti-13972	216	19	=	=	SYM
aiti-13972	216	20	1000	1000	NUM
aiti-13972	216	21	)	)	PUNCT
aiti-13972	216	22	.	.	PUNCT
aiti-13972	217	1	rf	rf	PRON
aiti-13972	217	2	utilized	utilize	VERB
aiti-13972	217	3	100	100	NUM
aiti-13972	217	4	estimators	estimator	NOUN
aiti-13972	217	5	and	and	CCONJ
aiti-13972	217	6	the	the	DET
aiti-13972	217	7	‘	'	PUNCT
aiti-13972	217	8	gini	gini	NOUN
aiti-13972	217	9	’	'	PUNCT
aiti-13972	217	10	criterion	criterion	NOUN
aiti-13972	217	11	for	for	ADP
aiti-13972	217	12	node	node	ADJ
aiti-13972	217	13	impurity	impurity	NOUN
aiti-13972	217	14	calculation	calculation	NOUN
aiti-13972	217	15	.	.	PUNCT
aiti-13972	218	1	dt	dt	PROPN
aiti-13972	218	2	utilized	utilize	VERB
aiti-13972	218	3	the	the	DET
aiti-13972	218	4	‘	'	PUNCT
aiti-13972	218	5	gini	gini	NOUN
aiti-13972	218	6	’	'	PUNCT
aiti-13972	218	7	criterion	criterion	NOUN
aiti-13972	218	8	for	for	ADP
aiti-13972	218	9	splitting	splitting	NOUN
aiti-13972	218	10	,	,	PUNCT
aiti-13972	218	11	without	without	ADP
aiti-13972	218	12	any	any	DET
aiti-13972	218	13	depth	depth	NOUN
aiti-13972	218	14	restriction	restriction	NOUN
aiti-13972	218	15	.	.	PUNCT
aiti-13972	219	1	svm	svm	PROPN
aiti-13972	219	2	employed	employ	VERB
aiti-13972	219	3	the	the	DET
aiti-13972	219	4	default	default	NOUN
aiti-13972	219	5	‘	'	PUNCT
aiti-13972	219	6	rbf	rbf	PROPN
aiti-13972	219	7	’	'	PUNCT
aiti-13972	219	8	kernel	kernel	PROPN
aiti-13972	219	9	for	for	ADP
aiti-13972	219	10	non	non	ADJ
aiti-13972	219	11	-	-	ADJ
aiti-13972	219	12	linear	linear	ADJ
aiti-13972	219	13	separation	separation	NOUN
aiti-13972	219	14	and	and	CCONJ
aiti-13972	219	15	regularization	regularization	NOUN
aiti-13972	219	16	parameters	parameter	NOUN
aiti-13972	219	17	.	.	PUNCT
aiti-13972	220	1	feature	feature	NOUN
aiti-13972	220	2	subsets	subset	NOUN
aiti-13972	220	3	obtained	obtain	VERB
aiti-13972	220	4	through	through	ADP
aiti-13972	220	5	the	the	DET
aiti-13972	220	6	hybrid	hybrid	ADJ
aiti-13972	220	7	acohc	acohc	NOUN
aiti-13972	220	8	are	be	AUX
aiti-13972	220	9	assessed	assess	VERB
aiti-13972	220	10	with	with	ADP
aiti-13972	220	11	lr	lr	NOUN
aiti-13972	220	12	,	,	PUNCT
aiti-13972	220	13	dt	dt	X
aiti-13972	220	14	,	,	PUNCT
aiti-13972	220	15	rf	rf	ADJ
aiti-13972	220	16	,	,	PUNCT
aiti-13972	220	17	and	and	CCONJ
aiti-13972	220	18	svm	svm	ADJ
aiti-13972	220	19	classifiers	classifier	NOUN
aiti-13972	220	20	,	,	PUNCT
aiti-13972	220	21	and	and	CCONJ
aiti-13972	220	22	the	the	DET
aiti-13972	220	23	final	final	ADJ
aiti-13972	220	24	feature	feature	NOUN
aiti-13972	220	25	subset	subset	NOUN
aiti-13972	220	26	is	be	AUX
aiti-13972	220	27	selected	select	VERB
aiti-13972	220	28	based	base	VERB
aiti-13972	220	29	on	on	ADP
aiti-13972	220	30	the	the	DET
aiti-13972	220	31	acohc	acohc	PROPN
aiti-13972	220	32	method	method	NOUN
aiti-13972	220	33	.	.	PUNCT
aiti-13972	221	1	the	the	DET
aiti-13972	221	2	performance	performance	NOUN
aiti-13972	221	3	is	be	AUX
aiti-13972	221	4	evaluated	evaluate	VERB
aiti-13972	221	5	based	base	VERB
aiti-13972	221	6	on	on	ADP
aiti-13972	221	7	metrics	metric	NOUN
aiti-13972	221	8	including	include	VERB
aiti-13972	221	9	accuracy	accuracy	NOUN
aiti-13972	221	10	,	,	PUNCT
aiti-13972	221	11	precision	precision	NOUN
aiti-13972	221	12	,	,	PUNCT
aiti-13972	221	13	recall	recall	NOUN
aiti-13972	221	14	,	,	PUNCT
aiti-13972	221	15	f	f	X
aiti-13972	221	16	-	-	PUNCT
aiti-13972	221	17	score	score	NOUN
aiti-13972	221	18	,	,	PUNCT
aiti-13972	221	19	and	and	CCONJ
aiti-13972	221	20	specificity	specificity	NOUN
aiti-13972	221	21	.	.	PUNCT
aiti-13972	222	1	advances	advance	NOUN
aiti-13972	222	2	in	in	ADP
aiti-13972	222	3	technology	technology	NOUN
aiti-13972	222	4	innovation	innovation	NOUN
aiti-13972	222	5	,	,	PUNCT
aiti-13972	222	6	vol	vol	NOUN
aiti-13972	222	7	.	.	PROPN
aiti-13972	223	1	9	9	NUM
aiti-13972	223	2	,	,	PUNCT
aiti-13972	223	3	no	no	INTJ
aiti-13972	223	4	.	.	NOUN
aiti-13972	223	5	4	4	NUM
aiti-13972	223	6	,	,	PUNCT
aiti-13972	223	7	2024	2024	NUM
aiti-13972	223	8	,	,	PUNCT
aiti-13972	223	9	pp	pp	ADV
aiti-13972	223	10	.	.	PUNCT
aiti-13972	224	1	319	319	NUM
aiti-13972	224	2	-	-	SYM
aiti-13972	224	3	331	331	NUM
aiti-13972	224	4	327	327	NUM
aiti-13972	224	5	the	the	DET
aiti-13972	224	6	feature	feature	NOUN
aiti-13972	224	7	selection	selection	NOUN
aiti-13972	224	8	method	method	NOUN
aiti-13972	224	9	proposed	propose	VERB
aiti-13972	224	10	is	be	AUX
aiti-13972	224	11	evaluated	evaluate	VERB
aiti-13972	224	12	against	against	ADP
aiti-13972	224	13	nine	nine	NUM
aiti-13972	224	14	alternative	alternative	ADJ
aiti-13972	224	15	feature	feature	NOUN
aiti-13972	224	16	selection	selection	NOUN
aiti-13972	224	17	techniques	technique	NOUN
aiti-13972	224	18	for	for	ADP
aiti-13972	224	19	comparison	comparison	NOUN
aiti-13972	224	20	.	.	PUNCT
aiti-13972	225	1	the	the	DET
aiti-13972	225	2	reduced	reduce	VERB
aiti-13972	225	3	feature	feature	NOUN
aiti-13972	225	4	subsets	subset	NOUN
aiti-13972	225	5	,	,	PUNCT
aiti-13972	225	6	which	which	PRON
aiti-13972	225	7	are	be	AUX
aiti-13972	225	8	produced	produce	VERB
aiti-13972	225	9	by	by	ADP
aiti-13972	225	10	the	the	DET
aiti-13972	225	11	various	various	ADJ
aiti-13972	225	12	feature	feature	NOUN
aiti-13972	225	13	selection	selection	NOUN
aiti-13972	225	14	techniques	technique	NOUN
aiti-13972	225	15	,	,	PUNCT
aiti-13972	225	16	are	be	AUX
aiti-13972	225	17	displayed	display	VERB
aiti-13972	225	18	in	in	ADP
aiti-13972	225	19	table	table	NOUN
aiti-13972	225	20	2	2	NUM
aiti-13972	225	21	.	.	PUNCT
aiti-13972	226	1	in	in	ADP
aiti-13972	226	2	the	the	DET
aiti-13972	226	3	table	table	NOUN
aiti-13972	226	4	,	,	PUNCT
aiti-13972	226	5	every	every	DET
aiti-13972	226	6	existing	exist	VERB
aiti-13972	226	7	feature	feature	NOUN
aiti-13972	226	8	selection	selection	NOUN
aiti-13972	226	9	method	method	NOUN
aiti-13972	226	10	is	be	AUX
aiti-13972	226	11	tested	test	VERB
aiti-13972	226	12	with	with	ADP
aiti-13972	226	13	different	different	ADJ
aiti-13972	226	14	sizes	size	NOUN
aiti-13972	226	15	of	of	ADP
aiti-13972	226	16	feature	feature	NOUN
aiti-13972	226	17	subsets	subset	NOUN
aiti-13972	226	18	,	,	PUNCT
aiti-13972	226	19	such	such	ADJ
aiti-13972	226	20	as	as	ADP
aiti-13972	226	21	5	5	NUM
aiti-13972	226	22	,	,	PUNCT
aiti-13972	226	23	6	6	NUM
aiti-13972	226	24	,	,	PUNCT
aiti-13972	226	25	and	and	CCONJ
aiti-13972	226	26	7	7	NUM
aiti-13972	226	27	features	feature	NOUN
aiti-13972	226	28	.	.	PUNCT
aiti-13972	227	1	each	each	DET
aiti-13972	227	2	feature	feature	NOUN
aiti-13972	227	3	is	be	AUX
aiti-13972	227	4	represented	represent	VERB
aiti-13972	227	5	by	by	ADP
aiti-13972	227	6	a	a	DET
aiti-13972	227	7	value	value	NOUN
aiti-13972	227	8	of	of	ADP
aiti-13972	227	9	either	either	PRON
aiti-13972	227	10	1	1	NUM
aiti-13972	227	11	or	or	CCONJ
aiti-13972	227	12	0	0	NUM
aiti-13972	227	13	.	.	PUNCT
aiti-13972	228	1	according	accord	VERB
aiti-13972	228	2	to	to	ADP
aiti-13972	228	3	the	the	DET
aiti-13972	228	4	attribute	attribute	NOUN
aiti-13972	228	5	sequence	sequence	NOUN
aiti-13972	228	6	below	below	ADV
aiti-13972	228	7	,	,	PUNCT
aiti-13972	228	8	if	if	SCONJ
aiti-13972	228	9	a	a	DET
aiti-13972	228	10	selected	select	VERB
aiti-13972	228	11	feature	feature	NOUN
aiti-13972	228	12	is	be	AUX
aiti-13972	228	13	included	include	VERB
aiti-13972	228	14	in	in	ADP
aiti-13972	228	15	the	the	DET
aiti-13972	228	16	feature	feature	NOUN
aiti-13972	228	17	subset	subset	NOUN
aiti-13972	228	18	,	,	PUNCT
aiti-13972	228	19	it	it	PRON
aiti-13972	228	20	will	will	AUX
aiti-13972	228	21	be	be	AUX
aiti-13972	228	22	represented	represent	VERB
aiti-13972	228	23	by	by	ADP
aiti-13972	228	24	1	1	NUM
aiti-13972	228	25	;	;	PUNCT
aiti-13972	228	26	otherwise	otherwise	ADV
aiti-13972	228	27	,	,	PUNCT
aiti-13972	228	28	if	if	SCONJ
aiti-13972	228	29	the	the	DET
aiti-13972	228	30	selected	select	VERB
aiti-13972	228	31	feature	feature	NOUN
aiti-13972	228	32	is	be	AUX
aiti-13972	228	33	excluded	exclude	VERB
aiti-13972	228	34	from	from	ADP
aiti-13972	228	35	the	the	DET
aiti-13972	228	36	subset	subset	NOUN
aiti-13972	228	37	,	,	PUNCT
aiti-13972	228	38	it	it	PRON
aiti-13972	228	39	will	will	AUX
aiti-13972	228	40	be	be	AUX
aiti-13972	228	41	represented	represent	VERB
aiti-13972	228	42	by	by	ADP
aiti-13972	228	43	0	0	NUM
aiti-13972	228	44	.	.	PUNCT
aiti-13972	229	1	after	after	SCONJ
aiti-13972	229	2	feature	feature	NOUN
aiti-13972	229	3	optimization	optimization	NOUN
aiti-13972	229	4	using	use	VERB
aiti-13972	229	5	the	the	DET
aiti-13972	229	6	proposed	propose	VERB
aiti-13972	229	7	acohc	acohc	NOUN
aiti-13972	229	8	method	method	NOUN
aiti-13972	229	9	the	the	DET
aiti-13972	229	10	selected	select	VERB
aiti-13972	229	11	features	feature	NOUN
aiti-13972	229	12	are	be	AUX
aiti-13972	229	13	:	:	PUNCT
aiti-13972	229	14	‘	'	PUNCT
aiti-13972	229	15	cp	cp	X
aiti-13972	229	16	’	'	PUNCT
aiti-13972	229	17	,	,	PUNCT
aiti-13972	229	18	‘	'	PUNCT
aiti-13972	229	19	trestbps	trestbps	NOUN
aiti-13972	229	20	’	'	PUNCT
aiti-13972	229	21	,	,	PUNCT
aiti-13972	229	22	‘	'	PUNCT
aiti-13972	229	23	thalach	thalach	NOUN
aiti-13972	229	24	’	'	PUNCT
aiti-13972	229	25	,	,	PUNCT
aiti-13972	229	26	‘	'	PUNCT
aiti-13972	229	27	ca	ca	NOUN
aiti-13972	229	28	’	'	PUNCT
aiti-13972	229	29	,	,	PUNCT
aiti-13972	229	30	and	and	CCONJ
aiti-13972	229	31	‘	'	PUNCT
aiti-13972	229	32	thal	thal	NOUN
aiti-13972	229	33	’	'	PUNCT
aiti-13972	229	34	.	.	PUNCT
aiti-13972	230	1	table	table	NOUN
aiti-13972	230	2	2	2	NUM
aiti-13972	230	3	feature	feature	NOUN
aiti-13972	230	4	subsets	subset	NOUN
aiti-13972	230	5	using	use	VERB
aiti-13972	230	6	feature	feature	NOUN
aiti-13972	230	7	optimization	optimization	NOUN
aiti-13972	230	8	method	method	NOUN
aiti-13972	230	9	feature	feature	NOUN
aiti-13972	230	10	selection	selection	NOUN
aiti-13972	230	11	method	method	NOUN
aiti-13972	230	12	age	age	NOUN
aiti-13972	230	13	sex	sex	NOUN
aiti-13972	230	14	cp	cp	NUM
aiti-13972	230	15	trest	trest	NOUN
aiti-13972	230	16	-	-	PUNCT
aiti-13972	230	17	bps	bps	NOUN
aiti-13972	230	18	chol	chol	NOUN
aiti-13972	230	19	fbs	fbs	PROPN
aiti-13972	230	20	rest	rest	PROPN
aiti-13972	230	21	ecg	ecg	PROPN
aiti-13972	230	22	thal	thal	PROPN
aiti-13972	230	23	-	-	PUNCT
aiti-13972	230	24	ach	ach	PROPN
aiti-13972	230	25	exang	exang	PROPN
aiti-13972	230	26	old	old	ADJ
aiti-13972	230	27	-	-	PUNCT
aiti-13972	230	28	peak	peak	NOUN
aiti-13972	230	29	slope	slope	NOUN
aiti-13972	230	30	ca	can	AUX
aiti-13972	230	31	thal	thal	VERB
aiti-13972	230	32	size	size	NOUN
aiti-13972	230	33	of	of	ADP
aiti-13972	230	34	feature	feature	NOUN
aiti-13972	230	35	subset	subset	VERB
aiti-13972	231	1	cs	cs	PROPN
aiti-13972	231	2	0	0	NUM
aiti-13972	231	3	0	0	NUM
aiti-13972	231	4	1	1	NUM
aiti-13972	231	5	0	0	NUM
aiti-13972	231	6	0	0	NUM
aiti-13972	231	7	0	0	NUM
aiti-13972	231	8	0	0	NUM
aiti-13972	231	9	1	1	NUM
aiti-13972	231	10	1	1	NUM
aiti-13972	231	11	1	1	NUM
aiti-13972	231	12	0	0	NUM
aiti-13972	231	13	1	1	NUM
aiti-13972	231	14	0	0	NUM
aiti-13972	231	15	5	5	NUM
aiti-13972	231	16	1	1	NUM
aiti-13972	231	17	0	0	NUM
aiti-13972	231	18	1	1	NUM
aiti-13972	231	19	0	0	NUM
aiti-13972	231	20	1	1	NUM
aiti-13972	231	21	0	0	NUM
aiti-13972	231	22	0	0	NUM
aiti-13972	231	23	0	0	NUM
aiti-13972	231	24	1	1	NUM
aiti-13972	231	25	1	1	NUM
aiti-13972	231	26	0	0	NUM
aiti-13972	231	27	1	1	NUM
aiti-13972	231	28	0	0	NUM
aiti-13972	231	29	6	6	NUM
aiti-13972	231	30	1	1	NUM
aiti-13972	231	31	0	0	NUM
aiti-13972	231	32	1	1	NUM
aiti-13972	231	33	0	0	NUM
aiti-13972	231	34	1	1	NUM
aiti-13972	231	35	0	0	NUM
aiti-13972	231	36	0	0	NUM
aiti-13972	231	37	1	1	NUM
aiti-13972	231	38	1	1	NUM
aiti-13972	231	39	1	1	NUM
aiti-13972	231	40	0	0	NUM
aiti-13972	231	41	1	1	NUM
aiti-13972	231	42	0	0	NUM
aiti-13972	231	43	7	7	NUM
aiti-13972	231	44	anova	anova	X
aiti-13972	231	45	0	0	NUM
aiti-13972	231	46	0	0	NUM
aiti-13972	231	47	1	1	NUM
aiti-13972	231	48	0	0	NUM
aiti-13972	231	49	0	0	NUM
aiti-13972	231	50	0	0	NUM
aiti-13972	231	51	0	0	NUM
aiti-13972	231	52	1	1	NUM
aiti-13972	231	53	1	1	NUM
aiti-13972	231	54	1	1	NUM
aiti-13972	231	55	0	0	NUM
aiti-13972	231	56	1	1	NUM
aiti-13972	231	57	0	0	NUM
aiti-13972	231	58	5	5	NUM
aiti-13972	231	59	0	0	NUM
aiti-13972	231	60	0	0	NUM
aiti-13972	231	61	1	1	NUM
aiti-13972	231	62	0	0	NUM
aiti-13972	231	63	0	0	NUM
aiti-13972	231	64	0	0	NUM
aiti-13972	231	65	0	0	NUM
aiti-13972	231	66	1	1	NUM
aiti-13972	231	67	1	1	NUM
aiti-13972	231	68	1	1	NUM
aiti-13972	231	69	1	1	NUM
aiti-13972	231	70	1	1	NUM
aiti-13972	231	71	0	0	NUM
aiti-13972	231	72	6	6	NUM
aiti-13972	231	73	0	0	NUM
aiti-13972	231	74	0	0	NUM
aiti-13972	231	75	1	1	NUM
aiti-13972	231	76	0	0	NUM
aiti-13972	231	77	0	0	NUM
aiti-13972	231	78	0	0	NUM
aiti-13972	231	79	0	0	NUM
aiti-13972	231	80	1	1	NUM
aiti-13972	231	81	1	1	NUM
aiti-13972	231	82	1	1	NUM
aiti-13972	231	83	1	1	NUM
aiti-13972	231	84	1	1	NUM
aiti-13972	231	85	1	1	NUM
aiti-13972	231	86	7	7	NUM
aiti-13972	231	87	fsa	fsa	PROPN
aiti-13972	231	88	0	0	NUM
aiti-13972	231	89	1	1	NUM
aiti-13972	231	90	0	0	NUM
aiti-13972	231	91	0	0	NUM
aiti-13972	231	92	0	0	NUM
aiti-13972	231	93	1	1	NUM
aiti-13972	231	94	0	0	NUM
aiti-13972	231	95	0	0	NUM
aiti-13972	231	96	1	1	NUM
aiti-13972	231	97	0	0	NUM
aiti-13972	231	98	0	0	NUM
aiti-13972	231	99	1	1	NUM
aiti-13972	231	100	1	1	NUM
aiti-13972	231	101	5	5	NUM
aiti-13972	231	102	0	0	NUM
aiti-13972	231	103	1	1	NUM
aiti-13972	231	104	0	0	NUM
aiti-13972	231	105	1	1	NUM
aiti-13972	231	106	0	0	NUM
aiti-13972	231	107	1	1	NUM
aiti-13972	231	108	0	0	NUM
aiti-13972	231	109	0	0	NUM
aiti-13972	231	110	1	1	NUM
aiti-13972	231	111	0	0	NUM
aiti-13972	231	112	0	0	NUM
aiti-13972	231	113	1	1	NUM
aiti-13972	231	114	1	1	NUM
aiti-13972	231	115	6	6	NUM
aiti-13972	231	116	1	1	NUM
aiti-13972	231	117	1	1	NUM
aiti-13972	231	118	0	0	NUM
aiti-13972	231	119	1	1	NUM
aiti-13972	231	120	0	0	NUM
aiti-13972	231	121	1	1	NUM
aiti-13972	231	122	0	0	NUM
aiti-13972	231	123	0	0	NUM
aiti-13972	231	124	1	1	NUM
aiti-13972	231	125	0	0	NUM
aiti-13972	231	126	0	0	NUM
aiti-13972	231	127	1	1	NUM
aiti-13972	231	128	1	1	NUM
aiti-13972	231	129	7	7	NUM
aiti-13972	231	130	bea	bea	NOUN
aiti-13972	231	131	0	0	NUM
aiti-13972	231	132	1	1	NUM
aiti-13972	231	133	0	0	NUM
aiti-13972	231	134	1	1	NUM
aiti-13972	231	135	0	0	NUM
aiti-13972	231	136	0	0	NUM
aiti-13972	231	137	0	0	NUM
aiti-13972	231	138	0	0	NUM
aiti-13972	231	139	1	1	NUM
aiti-13972	231	140	0	0	NUM
aiti-13972	231	141	1	1	NUM
aiti-13972	231	142	1	1	NUM
aiti-13972	231	143	0	0	NUM
aiti-13972	231	144	5	5	NUM
aiti-13972	231	145	1	1	NUM
aiti-13972	231	146	2	2	NUM
aiti-13972	231	147	0	0	NUM
aiti-13972	231	148	1	1	NUM
aiti-13972	231	149	0	0	NUM
aiti-13972	231	150	0	0	NUM
aiti-13972	231	151	0	0	NUM
aiti-13972	231	152	0	0	NUM
aiti-13972	231	153	1	1	NUM
aiti-13972	231	154	0	0	NUM
aiti-13972	231	155	1	1	NUM
aiti-13972	231	156	1	1	NUM
aiti-13972	231	157	0	0	NUM
aiti-13972	231	158	6	6	NUM
aiti-13972	231	159	1	1	NUM
aiti-13972	231	160	1	1	NUM
aiti-13972	231	161	0	0	NUM
aiti-13972	231	162	0	0	NUM
aiti-13972	231	163	1	1	NUM
aiti-13972	231	164	1	1	NUM
aiti-13972	231	165	0	0	NUM
aiti-13972	231	166	0	0	NUM
aiti-13972	231	167	1	1	NUM
aiti-13972	231	168	0	0	NUM
aiti-13972	231	169	1	1	NUM
aiti-13972	231	170	1	1	NUM
aiti-13972	231	171	0	0	NUM
aiti-13972	231	172	7	7	NUM
aiti-13972	231	173	mi	mi	NOUN
aiti-13972	231	174	0	0	NUM
aiti-13972	231	175	1	1	NUM
aiti-13972	231	176	0	0	NUM
aiti-13972	231	177	0	0	NUM
aiti-13972	231	178	0	0	NUM
aiti-13972	231	179	0	0	NUM
aiti-13972	231	180	0	0	NUM
aiti-13972	231	181	1	1	NUM
aiti-13972	231	182	0	0	NUM
aiti-13972	231	183	1	1	NUM
aiti-13972	231	184	0	0	NUM
aiti-13972	231	185	1	1	NUM
aiti-13972	231	186	1	1	NUM
aiti-13972	231	187	5	5	NUM
aiti-13972	231	188	0	0	NUM
aiti-13972	231	189	0	0	NUM
aiti-13972	231	190	0	0	NUM
aiti-13972	231	191	0	0	NUM
aiti-13972	231	192	0	0	NUM
aiti-13972	231	193	0	0	NUM
aiti-13972	231	194	0	0	NUM
aiti-13972	231	195	1	1	NUM
aiti-13972	231	196	1	1	NUM
aiti-13972	231	197	1	1	NUM
aiti-13972	231	198	1	1	NUM
aiti-13972	231	199	1	1	NUM
aiti-13972	231	200	1	1	NUM
aiti-13972	231	201	6	6	NUM
aiti-13972	231	202	0	0	NUM
aiti-13972	231	203	0	0	NUM
aiti-13972	231	204	1	1	NUM
aiti-13972	231	205	0	0	NUM
aiti-13972	231	206	0	0	NUM
aiti-13972	231	207	0	0	NUM
aiti-13972	231	208	0	0	NUM
aiti-13972	231	209	1	1	NUM
aiti-13972	231	210	1	1	NUM
aiti-13972	231	211	1	1	NUM
aiti-13972	231	212	1	1	NUM
aiti-13972	231	213	1	1	NUM
aiti-13972	231	214	1	1	NUM
aiti-13972	231	215	7	7	NUM
aiti-13972	231	216	l2	l2	NOUN
aiti-13972	231	217	0	0	NUM
aiti-13972	231	218	1	1	NUM
aiti-13972	231	219	1	1	NUM
aiti-13972	231	220	0	0	NUM
aiti-13972	231	221	0	0	NUM
aiti-13972	231	222	0	0	NUM
aiti-13972	231	223	1	1	NUM
aiti-13972	231	224	0	0	NUM
aiti-13972	231	225	1	1	NUM
aiti-13972	231	226	0	0	NUM
aiti-13972	231	227	0	0	NUM
aiti-13972	231	228	1	1	NUM
aiti-13972	231	229	0	0	NUM
aiti-13972	231	230	5	5	NUM
aiti-13972	231	231	0	0	NUM
aiti-13972	231	232	1	1	NUM
aiti-13972	231	233	1	1	NUM
aiti-13972	231	234	0	0	NUM
aiti-13972	231	235	0	0	NUM
aiti-13972	231	236	0	0	NUM
aiti-13972	231	237	0	0	NUM
aiti-13972	231	238	0	0	NUM
aiti-13972	231	239	1	1	NUM
aiti-13972	231	240	0	0	NUM
aiti-13972	231	241	1	1	NUM
aiti-13972	231	242	1	1	NUM
aiti-13972	231	243	1	1	NUM
aiti-13972	231	244	6	6	NUM
aiti-13972	231	245	0	0	NUM
aiti-13972	231	246	1	1	NUM
aiti-13972	231	247	1	1	NUM
aiti-13972	231	248	0	0	NUM
aiti-13972	231	249	0	0	NUM
aiti-13972	231	250	0	0	NUM
aiti-13972	231	251	0	0	NUM
aiti-13972	231	252	0	0	NUM
aiti-13972	231	253	1	1	NUM
aiti-13972	231	254	1	1	NUM
aiti-13972	231	255	1	1	NUM
aiti-13972	231	256	1	1	NUM
aiti-13972	231	257	1	1	NUM
aiti-13972	231	258	7	7	NUM
aiti-13972	231	259	pso	pso	NOUN
aiti-13972	231	260	0	0	NUM
aiti-13972	231	261	0	0	NUM
aiti-13972	231	262	1	1	NUM
aiti-13972	231	263	1	1	NUM
aiti-13972	231	264	1	1	NUM
aiti-13972	231	265	0	0	NUM
aiti-13972	231	266	1	1	NUM
aiti-13972	231	267	1	1	NUM
aiti-13972	231	268	0	0	NUM
aiti-13972	231	269	0	0	NUM
aiti-13972	231	270	0	0	NUM
aiti-13972	231	271	0	0	NUM
aiti-13972	231	272	0	0	NUM
aiti-13972	231	273	5	5	NUM
aiti-13972	231	274	0	0	NUM
aiti-13972	231	275	1	1	NUM
aiti-13972	231	276	1	1	NUM
aiti-13972	231	277	1	1	NUM
aiti-13972	231	278	1	1	NUM
aiti-13972	231	279	0	0	NUM
aiti-13972	231	280	1	1	NUM
aiti-13972	231	281	1	1	NUM
aiti-13972	231	282	0	0	NUM
aiti-13972	231	283	0	0	NUM
aiti-13972	231	284	0	0	NUM
aiti-13972	231	285	0	0	NUM
aiti-13972	231	286	0	0	NUM
aiti-13972	231	287	6	6	NUM
aiti-13972	231	288	0	0	NUM
aiti-13972	231	289	1	1	NUM
aiti-13972	231	290	1	1	NUM
aiti-13972	231	291	1	1	NUM
aiti-13972	231	292	0	0	NUM
aiti-13972	231	293	0	0	NUM
aiti-13972	231	294	1	1	NUM
aiti-13972	231	295	1	1	NUM
aiti-13972	231	296	1	1	NUM
aiti-13972	231	297	0	0	NUM
aiti-13972	231	298	0	0	NUM
aiti-13972	231	299	0	0	NUM
aiti-13972	231	300	1	1	NUM
aiti-13972	231	301	7	7	NUM
aiti-13972	231	302	aco	aco	NOUN
aiti-13972	231	303	0	0	NUM
aiti-13972	231	304	0	0	NUM
aiti-13972	231	305	1	1	NUM
aiti-13972	231	306	0	0	NUM
aiti-13972	231	307	0	0	NUM
aiti-13972	231	308	1	1	NUM
aiti-13972	231	309	0	0	NUM
aiti-13972	231	310	0	0	NUM
aiti-13972	231	311	0	0	NUM
aiti-13972	231	312	0	0	NUM
aiti-13972	231	313	1	1	NUM
aiti-13972	231	314	1	1	NUM
aiti-13972	231	315	1	1	NUM
aiti-13972	231	316	5	5	NUM
aiti-13972	231	317	1	1	NUM
aiti-13972	231	318	0	0	NUM
aiti-13972	231	319	1	1	NUM
aiti-13972	231	320	1	1	NUM
aiti-13972	231	321	0	0	NUM
aiti-13972	231	322	0	0	NUM
aiti-13972	231	323	0	0	NUM
aiti-13972	231	324	0	0	NUM
aiti-13972	231	325	1	1	NUM
aiti-13972	231	326	1	1	NUM
aiti-13972	231	327	0	0	NUM
aiti-13972	231	328	1	1	NUM
aiti-13972	231	329	0	0	NUM
aiti-13972	231	330	6	6	NUM
aiti-13972	231	331	0	0	NUM
aiti-13972	231	332	0	0	NUM
aiti-13972	231	333	1	1	NUM
aiti-13972	231	334	1	1	NUM
aiti-13972	231	335	1	1	NUM
aiti-13972	231	336	0	0	NUM
aiti-13972	231	337	0	0	NUM
aiti-13972	231	338	1	1	NUM
aiti-13972	231	339	0	0	NUM
aiti-13972	231	340	1	1	NUM
aiti-13972	231	341	1	1	NUM
aiti-13972	231	342	0	0	NUM
aiti-13972	231	343	1	1	NUM
aiti-13972	231	344	7	7	NUM
aiti-13972	231	345	hc	hc	NOUN
aiti-13972	231	346	0	0	NUM
aiti-13972	231	347	0	0	NUM
aiti-13972	231	348	1	1	NUM
aiti-13972	231	349	1	1	NUM
aiti-13972	231	350	0	0	NUM
aiti-13972	231	351	0	0	NUM
aiti-13972	231	352	0	0	NUM
aiti-13972	231	353	1	1	NUM
aiti-13972	231	354	0	0	NUM
aiti-13972	231	355	0	0	NUM
aiti-13972	231	356	0	0	NUM
aiti-13972	231	357	1	1	NUM
aiti-13972	231	358	1	1	NUM
aiti-13972	231	359	5	5	NUM
aiti-13972	231	360	0	0	NUM
aiti-13972	231	361	1	1	NUM
aiti-13972	231	362	1	1	NUM
aiti-13972	231	363	1	1	NUM
aiti-13972	231	364	0	0	NUM
aiti-13972	231	365	0	0	NUM
aiti-13972	231	366	0	0	NUM
aiti-13972	231	367	1	1	NUM
aiti-13972	231	368	0	0	NUM
aiti-13972	231	369	1	1	NUM
aiti-13972	231	370	0	0	NUM
aiti-13972	231	371	1	1	NUM
aiti-13972	231	372	0	0	NUM
aiti-13972	231	373	6	6	NUM
aiti-13972	231	374	0	0	NUM
aiti-13972	231	375	1	1	NUM
aiti-13972	231	376	1	1	NUM
aiti-13972	231	377	1	1	NUM
aiti-13972	231	378	1	1	NUM
aiti-13972	231	379	1	1	NUM
aiti-13972	231	380	0	0	NUM
aiti-13972	231	381	1	1	NUM
aiti-13972	231	382	0	0	NUM
aiti-13972	231	383	0	0	NUM
aiti-13972	231	384	0	0	NUM
aiti-13972	231	385	1	1	NUM
aiti-13972	231	386	0	0	NUM
aiti-13972	231	387	7	7	NUM
aiti-13972	231	388	acohc	acohc	NOUN
aiti-13972	231	389	0	0	NUM
aiti-13972	231	390	0	0	NUM
aiti-13972	231	391	1	1	NUM
aiti-13972	231	392	1	1	NUM
aiti-13972	231	393	0	0	NUM
aiti-13972	231	394	0	0	NUM
aiti-13972	231	395	0	0	NUM
aiti-13972	231	396	1	1	NUM
aiti-13972	231	397	0	0	NUM
aiti-13972	231	398	0	0	NUM
aiti-13972	231	399	0	0	NUM
aiti-13972	231	400	1	1	NUM
aiti-13972	231	401	1	1	NUM
aiti-13972	231	402	5	5	NUM
aiti-13972	231	403	the	the	DET
aiti-13972	231	404	classification	classification	NOUN
aiti-13972	231	405	accuracies	accuracy	NOUN
aiti-13972	231	406	obtained	obtain	VERB
aiti-13972	231	407	using	use	VERB
aiti-13972	231	408	feature	feature	NOUN
aiti-13972	231	409	sets	set	NOUN
aiti-13972	231	410	optimized	optimize	VERB
aiti-13972	231	411	by	by	ADP
aiti-13972	231	412	different	different	ADJ
aiti-13972	231	413	feature	feature	NOUN
aiti-13972	231	414	selection	selection	NOUN
aiti-13972	231	415	techniques	technique	NOUN
aiti-13972	231	416	are	be	AUX
aiti-13972	231	417	shown	show	VERB
aiti-13972	231	418	in	in	ADP
aiti-13972	231	419	table	table	NOUN
aiti-13972	231	420	3	3	NUM
aiti-13972	231	421	.	.	PUNCT
aiti-13972	232	1	the	the	DET
aiti-13972	232	2	analysis	analysis	NOUN
aiti-13972	232	3	demonstrates	demonstrate	VERB
aiti-13972	232	4	that	that	SCONJ
aiti-13972	232	5	models	model	NOUN
aiti-13972	232	6	built	build	VERB
aiti-13972	232	7	from	from	ADP
aiti-13972	232	8	optimized	optimize	VERB
aiti-13972	232	9	feature	feature	NOUN
aiti-13972	232	10	subsets	subset	NOUN
aiti-13972	232	11	consistently	consistently	ADV
aiti-13972	232	12	outperform	outperform	VERB
aiti-13972	232	13	those	those	PRON
aiti-13972	232	14	built	build	VERB
aiti-13972	232	15	from	from	ADP
aiti-13972	232	16	the	the	DET
aiti-13972	232	17	original	original	ADJ
aiti-13972	232	18	feature	feature	NOUN
aiti-13972	232	19	set	set	NOUN
aiti-13972	232	20	.	.	PUNCT
aiti-13972	233	1	initially	initially	ADV
aiti-13972	233	2	,	,	PUNCT
aiti-13972	233	3	training	train	VERB
aiti-13972	233	4	the	the	DET
aiti-13972	233	5	original	original	ADJ
aiti-13972	233	6	feature	feature	NOUN
aiti-13972	233	7	set	set	VERB
aiti-13972	233	8	with	with	ADP
aiti-13972	233	9	lr	lr	NOUN
aiti-13972	233	10	,	,	PUNCT
aiti-13972	233	11	dt	dt	X
aiti-13972	233	12	,	,	PUNCT
aiti-13972	233	13	rf	rf	ADJ
aiti-13972	233	14	,	,	PUNCT
aiti-13972	233	15	and	and	CCONJ
aiti-13972	233	16	svm	svm	ADJ
aiti-13972	233	17	yields	yield	NOUN
aiti-13972	233	18	a	a	DET
aiti-13972	233	19	maximum	maximum	ADJ
aiti-13972	233	20	accuracy	accuracy	NOUN
aiti-13972	233	21	of	of	ADP
aiti-13972	233	22	54.0	54.0	NUM
aiti-13972	233	23	%	%	NOUN
aiti-13972	233	24	,	,	PUNCT
aiti-13972	233	25	precision	precision	NOUN
aiti-13972	233	26	of	of	ADP
aiti-13972	233	27	55.7	55.7	NUM
aiti-13972	233	28	%	%	NOUN
aiti-13972	233	29	,	,	PUNCT
aiti-13972	233	30	sensitivity	sensitivity	NOUN
aiti-13972	233	31	of	of	ADP
aiti-13972	233	32	50.8	50.8	NUM
aiti-13972	233	33	%	%	NOUN
aiti-13972	233	34	,	,	PUNCT
aiti-13972	233	35	and	and	CCONJ
aiti-13972	233	36	f	f	X
aiti-13972	233	37	-	-	PUNCT
aiti-13972	233	38	measure	measure	NOUN
aiti-13972	233	39	of	of	ADP
aiti-13972	233	40	50.8	50.8	NUM
aiti-13972	233	41	%	%	NOUN
aiti-13972	233	42	.	.	PUNCT
aiti-13972	234	1	however	however	ADV
aiti-13972	234	2	,	,	PUNCT
aiti-13972	234	3	after	after	ADP
aiti-13972	234	4	applying	apply	VERB
aiti-13972	234	5	feature	feature	NOUN
aiti-13972	234	6	selection	selection	NOUN
aiti-13972	234	7	techniques	technique	NOUN
aiti-13972	234	8	,	,	PUNCT
aiti-13972	234	9	a	a	DET
aiti-13972	234	10	significant	significant	ADJ
aiti-13972	234	11	improvement	improvement	NOUN
aiti-13972	234	12	in	in	ADP
aiti-13972	234	13	classifier	classifier	ADJ
aiti-13972	234	14	accuracy	accuracy	NOUN
aiti-13972	234	15	is	be	AUX
aiti-13972	234	16	observed	observe	VERB
aiti-13972	234	17	across	across	ADP
aiti-13972	234	18	all	all	DET
aiti-13972	234	19	models	model	NOUN
aiti-13972	234	20	.	.	PUNCT
aiti-13972	235	1	table	table	NOUN
aiti-13972	235	2	3	3	NUM
aiti-13972	235	3	classification	classification	NOUN
aiti-13972	235	4	accuracies	accuracy	NOUN
aiti-13972	235	5	of	of	ADP
aiti-13972	235	6	reduced	reduce	VERB
aiti-13972	235	7	feature	feature	NOUN
aiti-13972	235	8	subsets	subset	NOUN
aiti-13972	235	9	feature	feature	NOUN
aiti-13972	235	10	selection	selection	NOUN
aiti-13972	235	11	method	method	NOUN
aiti-13972	235	12	no	no	INTJ
aiti-13972	235	13	.	.	PUNCT
aiti-13972	236	1	of	of	ADP
aiti-13972	236	2	features	feature	NOUN
aiti-13972	236	3	accuracy	accuracy	NOUN
aiti-13972	236	4	lr	lr	X
aiti-13972	236	5	dt	dt	NOUN
aiti-13972	236	6	rf	rf	NOUN
aiti-13972	236	7	svm	svm	PROPN
aiti-13972	236	8	--13	--13	PROPN
aiti-13972	236	9	0.540	0.540	NUM
aiti-13972	236	10	0.557	0.557	NUM
aiti-13972	236	11	0.508	0.508	NUM
aiti-13972	236	12	0.508	0.508	NUM
aiti-13972	236	13	cs	cs	PROPN
aiti-13972	236	14	5	5	NUM
aiti-13972	236	15	0.885	0.885	NUM
aiti-13972	236	16	0.770	0.770	NUM
aiti-13972	236	17	0.803	0.803	NUM
aiti-13972	236	18	0.688	0.688	NUM
aiti-13972	236	19	6	6	NUM
aiti-13972	236	20	0.885	0.885	NUM
aiti-13972	236	21	0.770	0.770	NUM
aiti-13972	236	22	0.770	0.770	NUM
aiti-13972	236	23	0.819	0.819	NUM
aiti-13972	236	24	7	7	NUM
aiti-13972	236	25	0.885	0.885	NUM
aiti-13972	236	26	0.737	0.737	NUM
aiti-13972	236	27	0.852	0.852	NUM
aiti-13972	236	28	0.803	0.803	NUM
aiti-13972	236	29	328	328	NUM
aiti-13972	236	30	advances	advance	NOUN
aiti-13972	236	31	in	in	ADP
aiti-13972	236	32	technology	technology	NOUN
aiti-13972	236	33	innovation	innovation	NOUN
aiti-13972	236	34	,	,	PUNCT
aiti-13972	236	35	vol	vol	NOUN
aiti-13972	236	36	.	.	PROPN
aiti-13972	237	1	9	9	NUM
aiti-13972	237	2	,	,	PUNCT
aiti-13972	237	3	no	no	INTJ
aiti-13972	237	4	.	.	NOUN
aiti-13972	237	5	4	4	NUM
aiti-13972	237	6	,	,	PUNCT
aiti-13972	237	7	2024	2024	NUM
aiti-13972	237	8	,	,	PUNCT
aiti-13972	237	9	pp	pp	ADV
aiti-13972	237	10	.	.	PUNCT
aiti-13972	238	1	319	319	NUM
aiti-13972	238	2	-	-	SYM
aiti-13972	238	3	331	331	NUM
aiti-13972	238	4	table	table	NOUN
aiti-13972	238	5	3	3	NUM
aiti-13972	238	6	classification	classification	NOUN
aiti-13972	238	7	accuracies	accuracy	NOUN
aiti-13972	238	8	of	of	ADP
aiti-13972	238	9	reduced	reduce	VERB
aiti-13972	238	10	feature	feature	NOUN
aiti-13972	238	11	subsets	subset	NOUN
aiti-13972	238	12	(	(	PUNCT
aiti-13972	238	13	continued	continued	ADJ
aiti-13972	238	14	)	)	PUNCT
aiti-13972	238	15	feature	feature	NOUN
aiti-13972	238	16	selection	selection	NOUN
aiti-13972	238	17	method	method	NOUN
aiti-13972	238	18	no	no	INTJ
aiti-13972	238	19	.	.	PUNCT
aiti-13972	238	20	of	of	ADP
aiti-13972	238	21	features	feature	NOUN
aiti-13972	238	22	accuracy	accuracy	NOUN
aiti-13972	239	1	lr	lr	X
aiti-13972	239	2	dt	dt	NOUN
aiti-13972	239	3	rf	rf	PROPN
aiti-13972	239	4	svm	svm	PROPN
aiti-13972	239	5	anova	anova	PROPN
aiti-13972	239	6	5	5	NUM
aiti-13972	239	7	0.885	0.885	NUM
aiti-13972	239	8	0.786	0.786	NUM
aiti-13972	239	9	0.819	0.819	NUM
aiti-13972	239	10	0.688	0.688	NUM
aiti-13972	239	11	6	6	NUM
aiti-13972	239	12	0.868	0.868	NUM
aiti-13972	239	13	0.803	0.803	NUM
aiti-13972	239	14	0.803	0.803	NUM
aiti-13972	239	15	0.688	0.688	NUM
aiti-13972	239	16	7	7	NUM
aiti-13972	239	17	0.885	0.885	NUM
aiti-13972	239	18	0.836	0.836	NUM
aiti-13972	239	19	0.836	0.836	NUM
aiti-13972	239	20	0.852	0.852	NUM
aiti-13972	239	21	fsa	fsa	NOUN
aiti-13972	239	22	5	5	NUM
aiti-13972	239	23	0.836	0.836	NUM
aiti-13972	239	24	0.786	0.786	NUM
aiti-13972	239	25	0.843	0.843	NUM
aiti-13972	239	26	0.852	0.852	NUM
aiti-13972	239	27	6	6	NUM
aiti-13972	239	28	0.836	0.836	NUM
aiti-13972	239	29	0.836	0.836	NUM
aiti-13972	239	30	0.836	0.836	NUM
aiti-13972	239	31	0.819	0.819	NUM
aiti-13972	239	32	7	7	NUM
aiti-13972	239	33	0.819	0.819	NUM
aiti-13972	239	34	0.704	0.704	NUM
aiti-13972	239	35	0.770	0.770	NUM
aiti-13972	239	36	0.786	0.786	NUM
aiti-13972	239	37	bea	bea	NOUN
aiti-13972	239	38	5	5	NUM
aiti-13972	239	39	0.803	0.803	NUM
aiti-13972	239	40	0.836	0.836	NUM
aiti-13972	239	41	0.803	0.803	NUM
aiti-13972	239	42	0.737	0.737	NUM
aiti-13972	239	43	6	6	NUM
aiti-13972	239	44	0.819	0.819	NUM
aiti-13972	239	45	0.803	0.803	NUM
aiti-13972	239	46	0.786	0.786	NUM
aiti-13972	239	47	0.819	0.819	NUM
aiti-13972	239	48	7	7	NUM
aiti-13972	239	49	0.818	0.818	NUM
aiti-13972	239	50	0.789	0.789	NUM
aiti-13972	239	51	0.871	0.871	NUM
aiti-13972	239	52	0.814	0.814	NUM
aiti-13972	239	53	mi	mi	PROPN
aiti-13972	239	54	5	5	NUM
aiti-13972	239	55	0.819	0.819	NUM
aiti-13972	239	56	0.639	0.639	NUM
aiti-13972	239	57	0.754	0.754	NUM
aiti-13972	239	58	0.819	0.819	NUM
aiti-13972	239	59	6	6	NUM
aiti-13972	239	60	0.819	0.819	NUM
aiti-13972	239	61	0.704	0.704	NUM
aiti-13972	239	62	0.704	0.704	NUM
aiti-13972	239	63	0.836	0.836	NUM
aiti-13972	239	64	7	7	NUM
aiti-13972	239	65	0.819	0.819	NUM
aiti-13972	239	66	0.688	0.688	NUM
aiti-13972	239	67	0.770	0.770	NUM
aiti-13972	239	68	0.803	0.803	NUM
aiti-13972	239	69	l2	l2	NOUN
aiti-13972	239	70	5	5	NUM
aiti-13972	239	71	0.721	0.721	NUM
aiti-13972	239	72	0.819	0.819	NUM
aiti-13972	239	73	0.836	0.836	NUM
aiti-13972	239	74	0.737	0.737	NUM
aiti-13972	239	75	6	6	NUM
aiti-13972	239	76	0.721	0.721	NUM
aiti-13972	239	77	0.789	0.789	NUM
aiti-13972	239	78	0.836	0.836	NUM
aiti-13972	239	79	0.836	0.836	NUM
aiti-13972	239	80	7	7	NUM
aiti-13972	239	81	0.721	0.721	NUM
aiti-13972	239	82	0.704	0.704	NUM
aiti-13972	239	83	0.737	0.737	NUM
aiti-13972	239	84	0.786	0.786	NUM
aiti-13972	239	85	pso	pso	NOUN
aiti-13972	239	86	5	5	NUM
aiti-13972	239	87	0.819	0.819	NUM
aiti-13972	239	88	0.688	0.688	NUM
aiti-13972	239	89	0.770	0.770	NUM
aiti-13972	239	90	0.786	0.786	NUM
aiti-13972	239	91	6	6	NUM
aiti-13972	239	92	0.819	0.819	NUM
aiti-13972	239	93	0.704	0.704	NUM
aiti-13972	239	94	0.770	0.770	NUM
aiti-13972	239	95	0.786	0.786	NUM
aiti-13972	239	96	7	7	NUM
aiti-13972	239	97	0.868	0.868	NUM
aiti-13972	239	98	0.786	0.786	NUM
aiti-13972	239	99	0.852	0.852	NUM
aiti-13972	239	100	0.885	0.885	NUM
aiti-13972	239	101	aco	aco	PROPN
aiti-13972	239	102	5	5	NUM
aiti-13972	239	103	0.803	0.803	NUM
aiti-13972	239	104	0.819	0.819	NUM
aiti-13972	239	105	0.868	0.868	NUM
aiti-13972	239	106	0.803	0.803	NUM
aiti-13972	239	107	6	6	NUM
aiti-13972	239	108	0.868	0.868	NUM
aiti-13972	239	109	0.704	0.704	NUM
aiti-13972	239	110	0.868	0.868	NUM
aiti-13972	239	111	0.885	0.885	NUM
aiti-13972	239	112	7	7	NUM
aiti-13972	239	113	0.901	0.901	NUM
aiti-13972	239	114	0.819	0.819	NUM
aiti-13972	239	115	0.852	0.852	NUM
aiti-13972	239	116	0.868	0.868	NUM
aiti-13972	239	117	hc	hc	NOUN
aiti-13972	239	118	5	5	NUM
aiti-13972	239	119	0.868	0.868	NUM
aiti-13972	239	120	0.836	0.836	NUM
aiti-13972	239	121	0.836	0.836	NUM
aiti-13972	239	122	0.803	0.803	NUM
aiti-13972	239	123	6	6	NUM
aiti-13972	239	124	0.836	0.836	NUM
aiti-13972	239	125	0.786	0.786	NUM
aiti-13972	239	126	0.852	0.852	NUM
aiti-13972	239	127	0.803	0.803	NUM
aiti-13972	239	128	7	7	NUM
aiti-13972	239	129	0.819	0.819	NUM
aiti-13972	239	130	0.803	0.803	NUM
aiti-13972	239	131	0.819	0.819	NUM
aiti-13972	239	132	0.836	0.836	NUM
aiti-13972	239	133	table	table	NOUN
aiti-13972	239	134	4	4	NUM
aiti-13972	239	135	evinces	evince	VERB
aiti-13972	239	136	the	the	DET
aiti-13972	239	137	performance	performance	NOUN
aiti-13972	239	138	of	of	ADP
aiti-13972	239	139	the	the	DET
aiti-13972	239	140	proposed	propose	VERB
aiti-13972	239	141	approach	approach	NOUN
aiti-13972	239	142	,	,	PUNCT
aiti-13972	239	143	compared	compare	VERB
aiti-13972	239	144	to	to	ADP
aiti-13972	239	145	other	other	ADJ
aiti-13972	239	146	currently	currently	ADV
aiti-13972	239	147	used	use	VERB
aiti-13972	239	148	feature	feature	NOUN
aiti-13972	239	149	selection	selection	NOUN
aiti-13972	239	150	strategies	strategy	NOUN
aiti-13972	239	151	for	for	ADP
aiti-13972	239	152	lr	lr	NOUN
aiti-13972	239	153	,	,	PUNCT
aiti-13972	239	154	dt	dt	X
aiti-13972	239	155	,	,	PUNCT
aiti-13972	239	156	rf	rf	ADJ
aiti-13972	239	157	,	,	PUNCT
aiti-13972	239	158	and	and	CCONJ
aiti-13972	239	159	svm	svm	ADJ
aiti-13972	239	160	classifiers	classifier	NOUN
aiti-13972	239	161	on	on	ADP
aiti-13972	239	162	the	the	DET
aiti-13972	239	163	cleveland	cleveland	PROPN
aiti-13972	239	164	dataset	dataset	VERB
aiti-13972	239	165	irrespective	irrespective	ADV
aiti-13972	239	166	of	of	ADP
aiti-13972	239	167	the	the	DET
aiti-13972	239	168	number	number	NOUN
aiti-13972	239	169	of	of	ADP
aiti-13972	239	170	features	feature	NOUN
aiti-13972	239	171	.	.	PUNCT
aiti-13972	240	1	the	the	DET
aiti-13972	240	2	proposed	propose	VERB
aiti-13972	240	3	acohc	acohc	PROPN
aiti-13972	240	4	method	method	NOUN
aiti-13972	240	5	exhibits	exhibit	VERB
aiti-13972	240	6	a	a	DET
aiti-13972	240	7	significant	significant	ADJ
aiti-13972	240	8	improvement	improvement	NOUN
aiti-13972	240	9	in	in	ADP
aiti-13972	240	10	the	the	DET
aiti-13972	240	11	performance	performance	NOUN
aiti-13972	240	12	of	of	ADP
aiti-13972	240	13	classifiers	classifier	NOUN
aiti-13972	240	14	,	,	PUNCT
aiti-13972	240	15	in	in	ADP
aiti-13972	240	16	contrast	contrast	NOUN
aiti-13972	240	17	to	to	ADP
aiti-13972	240	18	alternative	alternative	ADJ
aiti-13972	240	19	methods	method	NOUN
aiti-13972	240	20	of	of	ADP
aiti-13972	240	21	feature	feature	NOUN
aiti-13972	240	22	selection	selection	NOUN
aiti-13972	240	23	.	.	PUNCT
aiti-13972	241	1	table	table	NOUN
aiti-13972	241	2	4	4	NUM
aiti-13972	241	3	performance	performance	NOUN
aiti-13972	241	4	of	of	ADP
aiti-13972	241	5	various	various	ADJ
aiti-13972	241	6	feature	feature	NOUN
aiti-13972	241	7	selection	selection	NOUN
aiti-13972	241	8	algorithms	algorithm	NOUN
aiti-13972	241	9	feature	feature	NOUN
aiti-13972	241	10	selection	selection	NOUN
aiti-13972	241	11	method	method	NOUN
aiti-13972	241	12	accuracy	accuracy	NOUN
aiti-13972	242	1	lr	lr	X
aiti-13972	242	2	dt	dt	NOUN
aiti-13972	242	3	rf	rf	PROPN
aiti-13972	242	4	svm	svm	VERB
aiti-13972	242	5	cs	cs	PROPN
aiti-13972	242	6	0.885	0.885	NUM
aiti-13972	242	7	0.770	0.770	NUM
aiti-13972	242	8	0.852	0.852	NUM
aiti-13972	242	9	0.819	0.819	NUM
aiti-13972	242	10	anova	anova	X
aiti-13972	242	11	0.885	0.885	NUM
aiti-13972	242	12	0.836	0.836	NUM
aiti-13972	242	13	0.836	0.836	NUM
aiti-13972	242	14	0.852	0.852	NUM
aiti-13972	242	15	fsa	fsa	NOUN
aiti-13972	242	16	0.836	0.836	NUM
aiti-13972	242	17	0.836	0.836	NUM
aiti-13972	242	18	0.843	0.843	NUM
aiti-13972	242	19	0.852	0.852	NUM
aiti-13972	242	20	bea	bea	NOUN
aiti-13972	242	21	0.818	0.818	NUM
aiti-13972	242	22	0.836	0.836	NUM
aiti-13972	242	23	0.871	0.871	NUM
aiti-13972	242	24	0.819	0.819	NUM
aiti-13972	242	25	mi	mi	PROPN
aiti-13972	242	26	0.819	0.819	NUM
aiti-13972	242	27	0.704	0.704	NUM
aiti-13972	242	28	0.770	0.770	NUM
aiti-13972	242	29	0.836	0.836	NUM
aiti-13972	242	30	l2	l2	NOUN
aiti-13972	242	31	0.721	0.721	NUM
aiti-13972	242	32	0.819	0.819	NUM
aiti-13972	242	33	0.836	0.836	NUM
aiti-13972	242	34	0.836	0.836	NUM
aiti-13972	242	35	pso	pso	NOUN
aiti-13972	242	36	0.868	0.868	NUM
aiti-13972	242	37	0.786	0.786	NUM
aiti-13972	242	38	0.852	0.852	NUM
aiti-13972	242	39	0.885	0.885	NUM
aiti-13972	242	40	aco	aco	NOUN
aiti-13972	242	41	0.901	0.901	NUM
aiti-13972	242	42	0.819	0.819	NUM
aiti-13972	242	43	0.868	0.868	NUM
aiti-13972	242	44	0.885	0.885	NUM
aiti-13972	242	45	hc	hc	NOUN
aiti-13972	242	46	0.868	0.868	NUM
aiti-13972	242	47	0.836	0.836	NUM
aiti-13972	242	48	0.852	0.852	NUM
aiti-13972	242	49	0.836	0.836	NUM
aiti-13972	242	50	acohc	acohc	NOUN
aiti-13972	242	51	0.902	0.902	NUM
aiti-13972	242	52	0.869	0.869	NUM
aiti-13972	242	53	0.836	0.836	NUM
aiti-13972	242	54	0.951	0.951	NUM
aiti-13972	242	55	the	the	DET
aiti-13972	242	56	performance	performance	NOUN
aiti-13972	242	57	indicators	indicator	NOUN
aiti-13972	242	58	for	for	ADP
aiti-13972	242	59	the	the	DET
aiti-13972	242	60	manifold	manifold	ADJ
aiti-13972	242	61	classifiers	classifier	NOUN
aiti-13972	242	62	,	,	PUNCT
aiti-13972	242	63	which	which	PRON
aiti-13972	242	64	are	be	AUX
aiti-13972	242	65	assessed	assess	VERB
aiti-13972	242	66	using	use	VERB
aiti-13972	242	67	the	the	DET
aiti-13972	242	68	proposed	propose	VERB
aiti-13972	242	69	approach	approach	NOUN
aiti-13972	242	70	,	,	PUNCT
aiti-13972	242	71	are	be	AUX
aiti-13972	242	72	displayed	display	VERB
aiti-13972	242	73	in	in	ADP
aiti-13972	242	74	table	table	NOUN
aiti-13972	242	75	5	5	NUM
aiti-13972	242	76	.	.	PUNCT
aiti-13972	243	1	the	the	DET
aiti-13972	243	2	table	table	NOUN
aiti-13972	243	3	provides	provide	VERB
aiti-13972	243	4	a	a	DET
aiti-13972	243	5	detailed	detailed	ADJ
aiti-13972	243	6	comparison	comparison	NOUN
aiti-13972	243	7	of	of	ADP
aiti-13972	243	8	metrics	metric	NOUN
aiti-13972	243	9	such	such	ADJ
aiti-13972	243	10	as	as	ADP
aiti-13972	243	11	accuracy	accuracy	NOUN
aiti-13972	243	12	,	,	PUNCT
aiti-13972	243	13	precision	precision	NOUN
aiti-13972	243	14	,	,	PUNCT
aiti-13972	243	15	recall	recall	NOUN
aiti-13972	243	16	,	,	PUNCT
aiti-13972	243	17	f1	f1	NOUN
aiti-13972	243	18	-	-	PUNCT
aiti-13972	243	19	score	score	NOUN
aiti-13972	243	20	,	,	PUNCT
aiti-13972	243	21	specificity	specificity	NOUN
aiti-13972	243	22	,	,	PUNCT
aiti-13972	243	23	and	and	CCONJ
aiti-13972	243	24	area	area	NOUN
aiti-13972	243	25	under	under	ADP
aiti-13972	243	26	the	the	DET
aiti-13972	243	27	receiver	receiver	NOUN
aiti-13972	243	28	operating	operate	VERB
aiti-13972	243	29	characteristic	characteristic	NOUN
aiti-13972	243	30	(	(	PUNCT
aiti-13972	243	31	auroc	auroc	NOUN
aiti-13972	243	32	)	)	PUNCT
aiti-13972	243	33	highlighting	highlight	VERB
aiti-13972	243	34	the	the	DET
aiti-13972	243	35	effectiveness	effectiveness	NOUN
aiti-13972	243	36	of	of	ADP
aiti-13972	243	37	each	each	DET
aiti-13972	243	38	classifier	classifier	NOUN
aiti-13972	243	39	.	.	PUNCT
aiti-13972	244	1	this	this	DET
aiti-13972	244	2	comparison	comparison	NOUN
aiti-13972	244	3	aids	aid	VERB
aiti-13972	244	4	in	in	ADP
aiti-13972	244	5	selecting	select	VERB
aiti-13972	244	6	the	the	DET
aiti-13972	244	7	most	most	ADV
aiti-13972	244	8	suitable	suitable	ADJ
aiti-13972	244	9	classifier	classifier	NOUN
aiti-13972	244	10	for	for	ADP
aiti-13972	244	11	accurate	accurate	ADJ
aiti-13972	244	12	prediction	prediction	NOUN
aiti-13972	244	13	.	.	PUNCT
aiti-13972	245	1	table	table	NOUN
aiti-13972	245	2	5	5	NUM
aiti-13972	245	3	performance	performance	NOUN
aiti-13972	245	4	summary	summary	NOUN
aiti-13972	245	5	of	of	ADP
aiti-13972	245	6	acohc	acohc	PROPN
aiti-13972	245	7	classifiers	classifier	NOUN
aiti-13972	245	8	lr	lr	X
aiti-13972	245	9	dt	dt	NOUN
aiti-13972	245	10	rf	rf	PROPN
aiti-13972	245	11	svm	svm	ADJ
aiti-13972	245	12	accuracy	accuracy	NOUN
aiti-13972	245	13	0.902	0.902	NUM
aiti-13972	245	14	0.869	0.869	NUM
aiti-13972	245	15	0.836	0.836	NUM
aiti-13972	245	16	0.951	0.951	NUM
aiti-13972	245	17	precision	precision	NOUN
aiti-13972	245	18	0.897	0.897	NUM
aiti-13972	245	19	0.862	0.862	NUM
aiti-13972	245	20	0.862	0.862	NUM
aiti-13972	245	21	0.931	0.931	NUM
aiti-13972	245	22	advances	advance	NOUN
aiti-13972	245	23	in	in	ADP
aiti-13972	245	24	technology	technology	NOUN
aiti-13972	245	25	innovation	innovation	NOUN
aiti-13972	245	26	,	,	PUNCT
aiti-13972	245	27	vol	vol	NOUN
aiti-13972	245	28	.	.	PROPN
aiti-13972	245	29	9	9	NUM
aiti-13972	245	30	,	,	PUNCT
aiti-13972	245	31	no	no	INTJ
aiti-13972	245	32	.	.	NOUN
aiti-13972	245	33	4	4	NUM
aiti-13972	245	34	,	,	PUNCT
aiti-13972	245	35	2024	2024	NUM
aiti-13972	245	36	,	,	PUNCT
aiti-13972	245	37	pp	pp	ADV
aiti-13972	245	38	.	.	PUNCT
aiti-13972	246	1	319	319	NUM
aiti-13972	246	2	-	-	SYM
aiti-13972	246	3	331	331	NUM
aiti-13972	246	4	329	329	NUM
aiti-13972	246	5	table	table	NOUN
aiti-13972	246	6	5	5	NUM
aiti-13972	246	7	performance	performance	NOUN
aiti-13972	246	8	summary	summary	NOUN
aiti-13972	246	9	of	of	ADP
aiti-13972	246	10	acohc	acohc	PROPN
aiti-13972	246	11	(	(	PUNCT
aiti-13972	246	12	continued	continued	ADJ
aiti-13972	246	13	)	)	PUNCT
aiti-13972	246	14	classifiers	classifier	NOUN
aiti-13972	246	15	lr	lr	INTJ
aiti-13972	246	16	dt	dt	NOUN
aiti-13972	246	17	rf	rf	PROPN
aiti-13972	246	18	svm	svm	PROPN
aiti-13972	246	19	recall	recall	VERB
aiti-13972	246	20	0.897	0.897	NUM
aiti-13972	246	21	0.862	0.862	NUM
aiti-13972	246	22	0.806	0.806	NUM
aiti-13972	246	23	0.964	0.964	NUM
aiti-13972	246	24	f1	f1	NOUN
aiti-13972	246	25	-	-	PUNCT
aiti-13972	246	26	score	score	NOUN
aiti-13972	246	27	0.897	0.897	NUM
aiti-13972	246	28	0.862	0.862	NUM
aiti-13972	246	29	0.833	0.833	NUM
aiti-13972	246	30	0.947	0.947	NUM
aiti-13972	246	31	specificity	specificity	NOUN
aiti-13972	246	32	0.906	0.906	NUM
aiti-13972	246	33	0.875	0.875	NUM
aiti-13972	246	34	0.867	0.867	NUM
aiti-13972	246	35	0.939	0.939	NUM
aiti-13972	246	36	auroc	auroc	NOUN
aiti-13972	246	37	0.913	0.913	NUM
aiti-13972	246	38	0.837	0.837	NUM
aiti-13972	246	39	0.923	0.923	NUM
aiti-13972	246	40	0.957	0.957	NUM
aiti-13972	246	41	fig	fig	NOUN
aiti-13972	246	42	.	.	PUNCT
aiti-13972	247	1	3	3	NUM
aiti-13972	247	2	presents	present	VERB
aiti-13972	247	3	the	the	DET
aiti-13972	247	4	accuracies	accuracy	NOUN
aiti-13972	247	5	of	of	ADP
aiti-13972	247	6	heart	heart	NOUN
aiti-13972	247	7	disease	disease	NOUN
aiti-13972	247	8	prediction	prediction	NOUN
aiti-13972	247	9	using	use	VERB
aiti-13972	247	10	multifarious	multifarious	ADJ
aiti-13972	247	11	feature	feature	NOUN
aiti-13972	247	12	optimization	optimization	NOUN
aiti-13972	247	13	techniques	technique	NOUN
aiti-13972	247	14	to	to	PART
aiti-13972	247	15	identify	identify	VERB
aiti-13972	247	16	the	the	DET
aiti-13972	247	17	optimal	optimal	ADJ
aiti-13972	247	18	feature	feature	NOUN
aiti-13972	247	19	set	set	VERB
aiti-13972	247	20	.	.	PUNCT
aiti-13972	248	1	the	the	DET
aiti-13972	248	2	results	result	NOUN
aiti-13972	248	3	highlight	highlight	VERB
aiti-13972	248	4	differences	difference	NOUN
aiti-13972	248	5	in	in	ADP
aiti-13972	248	6	performance	performance	NOUN
aiti-13972	248	7	across	across	ADP
aiti-13972	248	8	methods	method	NOUN
aiti-13972	248	9	,	,	PUNCT
aiti-13972	248	10	showing	show	VERB
aiti-13972	248	11	the	the	DET
aiti-13972	248	12	impact	impact	NOUN
aiti-13972	248	13	of	of	ADP
aiti-13972	248	14	feature	feature	NOUN
aiti-13972	248	15	selection	selection	NOUN
aiti-13972	248	16	on	on	ADP
aiti-13972	248	17	model	model	NOUN
aiti-13972	248	18	accuracy	accuracy	NOUN
aiti-13972	248	19	.	.	PUNCT
aiti-13972	249	1	this	this	DET
aiti-13972	249	2	comparison	comparison	NOUN
aiti-13972	249	3	aids	aid	VERB
aiti-13972	249	4	in	in	ADP
aiti-13972	249	5	pinpointing	pinpoint	VERB
aiti-13972	249	6	the	the	DET
aiti-13972	249	7	most	most	ADV
aiti-13972	249	8	effective	effective	ADJ
aiti-13972	249	9	technique	technique	NOUN
aiti-13972	249	10	for	for	ADP
aiti-13972	249	11	enhancing	enhance	VERB
aiti-13972	249	12	predictive	predictive	ADJ
aiti-13972	249	13	outcomes	outcome	NOUN
aiti-13972	249	14	in	in	ADP
aiti-13972	249	15	heart	heart	NOUN
aiti-13972	249	16	disease	disease	NOUN
aiti-13972	249	17	diagnosis	diagnosis	NOUN
aiti-13972	249	18	.	.	PUNCT
aiti-13972	250	1	fig	fig	NOUN
aiti-13972	250	2	.	.	PUNCT
aiti-13972	251	1	3	3	NUM
aiti-13972	251	2	comparison	comparison	NOUN
aiti-13972	251	3	of	of	ADP
aiti-13972	251	4	feature	feature	NOUN
aiti-13972	251	5	selection	selection	NOUN
aiti-13972	251	6	methods	method	NOUN
aiti-13972	251	7	figs	fig	NOUN
aiti-13972	251	8	.	.	PUNCT
aiti-13972	252	1	4	4	NUM
aiti-13972	252	2	-	-	SYM
aiti-13972	252	3	7	7	NUM
aiti-13972	252	4	presents	present	VERB
aiti-13972	252	5	the	the	DET
aiti-13972	252	6	auroc	auroc	NOUN
aiti-13972	252	7	curve	curve	NOUN
aiti-13972	252	8	scores	score	NOUN
aiti-13972	252	9	for	for	ADP
aiti-13972	252	10	the	the	DET
aiti-13972	252	11	classifiers	classifier	NOUN
aiti-13972	252	12	evaluated	evaluate	VERB
aiti-13972	252	13	on	on	ADP
aiti-13972	252	14	the	the	DET
aiti-13972	252	15	cleveland	cleveland	PROPN
aiti-13972	252	16	dataset	dataset	PROPN
aiti-13972	252	17	.	.	PUNCT
aiti-13972	253	1	given	give	VERB
aiti-13972	253	2	the	the	DET
aiti-13972	253	3	provision	provision	NOUN
aiti-13972	253	4	of	of	ADP
aiti-13972	253	5	a	a	DET
aiti-13972	253	6	single	single	ADJ
aiti-13972	253	7	scalar	scalar	ADJ
aiti-13972	253	8	value	value	NOUN
aiti-13972	253	9	for	for	ADP
aiti-13972	253	10	evaluating	evaluate	VERB
aiti-13972	253	11	the	the	DET
aiti-13972	253	12	performance	performance	NOUN
aiti-13972	253	13	of	of	ADP
aiti-13972	253	14	the	the	DET
aiti-13972	253	15	classification	classification	NOUN
aiti-13972	253	16	model	model	NOUN
aiti-13972	253	17	across	across	ADP
aiti-13972	253	18	all	all	DET
aiti-13972	253	19	threshold	threshold	NOUN
aiti-13972	253	20	levels	level	NOUN
aiti-13972	253	21	,	,	PUNCT
aiti-13972	253	22	auroc	auroc	NOUN
aiti-13972	253	23	is	be	AUX
aiti-13972	253	24	perceived	perceive	VERB
aiti-13972	253	25	to	to	PART
aiti-13972	253	26	be	be	AUX
aiti-13972	253	27	advantageous	advantageous	ADJ
aiti-13972	253	28	.	.	PUNCT
aiti-13972	254	1	the	the	DET
aiti-13972	254	2	scores	score	NOUN
aiti-13972	254	3	indicate	indicate	VERB
aiti-13972	254	4	the	the	DET
aiti-13972	254	5	ability	ability	NOUN
aiti-13972	254	6	of	of	ADP
aiti-13972	254	7	the	the	DET
aiti-13972	254	8	model	model	NOUN
aiti-13972	254	9	to	to	PART
aiti-13972	254	10	dichotomize	dichotomize	VERB
aiti-13972	254	11	the	the	DET
aiti-13972	254	12	patients	patient	NOUN
aiti-13972	254	13	according	accord	VERB
aiti-13972	254	14	to	to	ADP
aiti-13972	254	15	the	the	DET
aiti-13972	254	16	suffering	suffering	NOUN
aiti-13972	254	17	of	of	ADP
aiti-13972	254	18	a	a	DET
aiti-13972	254	19	certain	certain	ADJ
aiti-13972	254	20	disease	disease	NOUN
aiti-13972	254	21	.	.	PUNCT
aiti-13972	255	1	the	the	DET
aiti-13972	255	2	auroc	auroc	NOUN
aiti-13972	255	3	scores	score	NOUN
aiti-13972	255	4	demonstrate	demonstrate	VERB
aiti-13972	255	5	that	that	SCONJ
aiti-13972	255	6	the	the	DET
aiti-13972	255	7	svm	svm	PROPN
aiti-13972	255	8	has	have	AUX
aiti-13972	255	9	gained	gain	VERB
aiti-13972	255	10	the	the	DET
aiti-13972	255	11	highest	high	ADJ
aiti-13972	255	12	performance	performance	NOUN
aiti-13972	255	13	,	,	PUNCT
aiti-13972	255	14	closely	closely	ADV
aiti-13972	255	15	followed	follow	VERB
aiti-13972	255	16	by	by	ADP
aiti-13972	255	17	rf	rf	NOUN
aiti-13972	255	18	,	,	PUNCT
aiti-13972	255	19	lr	lr	NOUN
aiti-13972	255	20	,	,	PUNCT
aiti-13972	255	21	and	and	CCONJ
aiti-13972	255	22	dt	dt	PROPN
aiti-13972	255	23	classifiers	classifier	NOUN
aiti-13972	255	24	.	.	PUNCT
aiti-13972	256	1	all	all	DET
aiti-13972	256	2	classifiers	classifier	NOUN
aiti-13972	256	3	exhibit	exhibit	VERB
aiti-13972	256	4	auroc	auroc	NOUN
aiti-13972	256	5	scores	score	NOUN
aiti-13972	256	6	above	above	ADP
aiti-13972	256	7	0.80	0.80	NUM
aiti-13972	256	8	,	,	PUNCT
aiti-13972	256	9	indicating	indicate	VERB
aiti-13972	256	10	robust	robust	ADJ
aiti-13972	256	11	performance	performance	NOUN
aiti-13972	256	12	.	.	PUNCT
aiti-13972	257	1	fig	fig	NOUN
aiti-13972	257	2	.	.	PUNCT
aiti-13972	258	1	4	4	NUM
aiti-13972	258	2	auroc	auroc	NOUN
aiti-13972	258	3	analysis	analysis	NOUN
aiti-13972	258	4	for	for	ADP
aiti-13972	258	5	svm	svm	ADJ
aiti-13972	258	6	fig	fig	NOUN
aiti-13972	258	7	.	.	PUNCT
aiti-13972	259	1	5	5	NUM
aiti-13972	259	2	auroc	auroc	NOUN
aiti-13972	259	3	analysis	analysis	NOUN
aiti-13972	259	4	for	for	ADP
aiti-13972	259	5	rf	rf	PRON
aiti-13972	259	6	330	330	NUM
aiti-13972	259	7	advances	advance	NOUN
aiti-13972	259	8	in	in	ADP
aiti-13972	259	9	technology	technology	NOUN
aiti-13972	259	10	innovation	innovation	NOUN
aiti-13972	259	11	,	,	PUNCT
aiti-13972	259	12	vol	vol	NOUN
aiti-13972	259	13	.	.	PROPN
aiti-13972	259	14	9	9	NUM
aiti-13972	259	15	,	,	PUNCT
aiti-13972	259	16	no	no	INTJ
aiti-13972	259	17	.	.	NOUN
aiti-13972	259	18	4	4	NUM
aiti-13972	259	19	,	,	PUNCT
aiti-13972	259	20	2024	2024	NUM
aiti-13972	259	21	,	,	PUNCT
aiti-13972	259	22	pp	pp	ADV
aiti-13972	259	23	.	.	PUNCT
aiti-13972	260	1	319	319	NUM
aiti-13972	260	2	-	-	SYM
aiti-13972	260	3	331	331	NUM
aiti-13972	260	4	fig	fig	NOUN
aiti-13972	260	5	.	.	PUNCT
aiti-13972	261	1	6	6	NUM
aiti-13972	261	2	auroc	auroc	NOUN
aiti-13972	261	3	analysis	analysis	NOUN
aiti-13972	261	4	for	for	ADP
aiti-13972	261	5	lr	lr	NOUN
aiti-13972	261	6	fig	fig	NOUN
aiti-13972	261	7	.	.	PUNCT
aiti-13972	262	1	7	7	NUM
aiti-13972	262	2	auroc	auroc	NOUN
aiti-13972	262	3	analysis	analysis	NOUN
aiti-13972	262	4	for	for	ADP
aiti-13972	262	5	dt	dt	PROPN
aiti-13972	262	6	5	5	NUM
aiti-13972	262	7	.	.	PUNCT
aiti-13972	262	8	conclusions	conclusion	NOUN
aiti-13972	262	9	this	this	DET
aiti-13972	262	10	paper	paper	NOUN
aiti-13972	262	11	aims	aim	VERB
aiti-13972	262	12	to	to	PART
aiti-13972	262	13	investigate	investigate	VERB
aiti-13972	262	14	the	the	DET
aiti-13972	262	15	rationale	rationale	NOUN
aiti-13972	262	16	for	for	ADP
aiti-13972	262	17	the	the	DET
aiti-13972	262	18	prediction	prediction	NOUN
aiti-13972	262	19	accuracy	accuracy	NOUN
aiti-13972	262	20	of	of	ADP
aiti-13972	262	21	heart	heart	NOUN
aiti-13972	262	22	disease	disease	NOUN
aiti-13972	262	23	affected	affect	VERB
aiti-13972	262	24	by	by	ADP
aiti-13972	262	25	the	the	DET
aiti-13972	262	26	feature	feature	NOUN
aiti-13972	262	27	selection	selection	NOUN
aiti-13972	262	28	techniques	technique	NOUN
aiti-13972	262	29	.	.	PUNCT
aiti-13972	263	1	technically	technically	ADV
aiti-13972	263	2	,	,	PUNCT
aiti-13972	263	3	this	this	DET
aiti-13972	263	4	study	study	NOUN
aiti-13972	263	5	is	be	AUX
aiti-13972	263	6	conducted	conduct	VERB
aiti-13972	263	7	against	against	ADP
aiti-13972	263	8	a	a	DET
aiti-13972	263	9	collection	collection	NOUN
aiti-13972	263	10	of	of	ADP
aiti-13972	263	11	different	different	ADJ
aiti-13972	263	12	features	feature	NOUN
aiti-13972	263	13	that	that	PRON
aiti-13972	263	14	were	be	AUX
aiti-13972	263	15	extracted	extract	VERB
aiti-13972	263	16	from	from	ADP
aiti-13972	263	17	widely	widely	ADV
aiti-13972	263	18	used	use	VERB
aiti-13972	263	19	cleveland	cleveland	PROPN
aiti-13972	263	20	heart	heart	NOUN
aiti-13972	263	21	disease	disease	NOUN
aiti-13972	263	22	datasets	dataset	NOUN
aiti-13972	263	23	that	that	PRON
aiti-13972	263	24	are	be	AUX
aiti-13972	263	25	available	available	ADJ
aiti-13972	263	26	at	at	ADP
aiti-13972	263	27	the	the	DET
aiti-13972	263	28	uci	uci	PROPN
aiti-13972	263	29	using	use	VERB
aiti-13972	263	30	a	a	DET
aiti-13972	263	31	range	range	NOUN
aiti-13972	263	32	of	of	ADP
aiti-13972	263	33	feature	feature	NOUN
aiti-13972	263	34	selection	selection	NOUN
aiti-13972	263	35	approaches	approach	NOUN
aiti-13972	263	36	.	.	PUNCT
aiti-13972	264	1	experiments	experiment	NOUN
aiti-13972	264	2	have	have	AUX
aiti-13972	264	3	been	be	AUX
aiti-13972	264	4	conducted	conduct	VERB
aiti-13972	264	5	both	both	PRON
aiti-13972	264	6	including	include	VERB
aiti-13972	264	7	and	and	CCONJ
aiti-13972	264	8	excluding	exclude	VERB
aiti-13972	264	9	feature	feature	NOUN
aiti-13972	264	10	selection	selection	NOUN
aiti-13972	264	11	to	to	PART
aiti-13972	264	12	determine	determine	VERB
aiti-13972	264	13	the	the	DET
aiti-13972	264	14	influence	influence	NOUN
aiti-13972	264	15	of	of	ADP
aiti-13972	264	16	feature	feature	NOUN
aiti-13972	264	17	selection	selection	NOUN
aiti-13972	264	18	.	.	PUNCT
aiti-13972	265	1	chi	chi	ADJ
aiti-13972	265	2	-	-	PUNCT
aiti-13972	265	3	square	square	PROPN
aiti-13972	265	4	,	,	PUNCT
aiti-13972	265	5	anova	anova	PROPN
aiti-13972	265	6	,	,	PUNCT
aiti-13972	265	7	fsa	fsa	PROPN
aiti-13972	265	8	,	,	PUNCT
aiti-13972	265	9	bea	bea	PROPN
aiti-13972	265	10	,	,	PUNCT
aiti-13972	265	11	mi	mi	PROPN
aiti-13972	265	12	,	,	PUNCT
aiti-13972	265	13	l2	l2	NOUN
aiti-13972	265	14	,	,	PUNCT
aiti-13972	265	15	pso	pso	NOUN
aiti-13972	265	16	,	,	PUNCT
aiti-13972	265	17	aco	aco	PROPN
aiti-13972	265	18	,	,	PUNCT
aiti-13972	265	19	and	and	CCONJ
aiti-13972	265	20	hc	hc	PROPN
aiti-13972	265	21	are	be	AUX
aiti-13972	265	22	utilized	utilize	VERB
aiti-13972	265	23	as	as	ADP
aiti-13972	265	24	algorithms	algorithm	NOUN
aiti-13972	265	25	for	for	ADP
aiti-13972	265	26	feature	feature	NOUN
aiti-13972	265	27	selection	selection	NOUN
aiti-13972	265	28	.	.	PUNCT
aiti-13972	266	1	four	four	NUM
aiti-13972	266	2	techniques	technique	NOUN
aiti-13972	266	3	for	for	ADP
aiti-13972	266	4	classification	classification	NOUN
aiti-13972	266	5	are	be	AUX
aiti-13972	266	6	analyzed	analyze	VERB
aiti-13972	266	7	:	:	PUNCT
aiti-13972	266	8	svm	svm	PROPN
aiti-13972	266	9	,	,	PUNCT
aiti-13972	266	10	rf	rf	ADJ
aiti-13972	266	11	,	,	PUNCT
aiti-13972	266	12	dt	dt	X
aiti-13972	266	13	,	,	PUNCT
aiti-13972	266	14	and	and	CCONJ
aiti-13972	266	15	lr	lr	NOUN
aiti-13972	266	16	.	.	PUNCT
aiti-13972	267	1	the	the	DET
aiti-13972	267	2	best	good	ADJ
aiti-13972	267	3	result	result	NOUN
aiti-13972	267	4	,	,	PUNCT
aiti-13972	267	5	using	use	VERB
aiti-13972	267	6	the	the	DET
aiti-13972	267	7	dt	dt	NOUN
aiti-13972	267	8	classifier	classifier	NOUN
aiti-13972	267	9	,	,	PUNCT
aiti-13972	267	10	yields	yield	VERB
aiti-13972	267	11	55.7	55.7	NUM
aiti-13972	267	12	%	%	NOUN
aiti-13972	267	13	model	model	NOUN
aiti-13972	267	14	accuracy	accuracy	NOUN
aiti-13972	267	15	without	without	ADP
aiti-13972	267	16	feature	feature	NOUN
aiti-13972	267	17	selection	selection	NOUN
aiti-13972	267	18	.	.	PUNCT
aiti-13972	268	1	subsequently	subsequently	ADV
aiti-13972	268	2	,	,	PUNCT
aiti-13972	268	3	feature	feature	NOUN
aiti-13972	268	4	selection	selection	NOUN
aiti-13972	268	5	is	be	AUX
aiti-13972	268	6	used	use	VERB
aiti-13972	268	7	to	to	PART
aiti-13972	268	8	experiment	experiment	VERB
aiti-13972	268	9	.	.	PUNCT
aiti-13972	269	1	the	the	DET
aiti-13972	269	2	highest	high	ADJ
aiti-13972	269	3	accuracy	accuracy	NOUN
aiti-13972	269	4	value	value	NOUN
aiti-13972	269	5	without	without	ADP
aiti-13972	269	6	feature	feature	NOUN
aiti-13972	269	7	selection	selection	NOUN
aiti-13972	269	8	is	be	AUX
aiti-13972	269	9	55.7	55.7	NUM
aiti-13972	269	10	%	%	NOUN
aiti-13972	269	11	;	;	PUNCT
aiti-13972	269	12	with	with	ADP
aiti-13972	269	13	the	the	DET
aiti-13972	269	14	use	use	NOUN
aiti-13972	269	15	of	of	ADP
aiti-13972	269	16	acohc	acohc	NOUN
aiti-13972	269	17	and	and	CCONJ
aiti-13972	269	18	svm	svm	ADJ
aiti-13972	269	19	classifier	classifier	NOUN
aiti-13972	269	20	,	,	PUNCT
aiti-13972	269	21	this	this	DET
aiti-13972	269	22	value	value	NOUN
aiti-13972	269	23	is	be	AUX
aiti-13972	269	24	raised	raise	VERB
aiti-13972	269	25	to	to	ADP
aiti-13972	269	26	95.1	95.1	NUM
aiti-13972	269	27	%	%	NOUN
aiti-13972	269	28	.	.	PUNCT
aiti-13972	270	1	the	the	DET
aiti-13972	270	2	findings	finding	NOUN
aiti-13972	270	3	from	from	ADP
aiti-13972	270	4	the	the	DET
aiti-13972	270	5	experiment	experiment	NOUN
aiti-13972	270	6	suggest	suggest	VERB
aiti-13972	270	7	that	that	SCONJ
aiti-13972	270	8	feature	feature	NOUN
aiti-13972	270	9	selection	selection	NOUN
aiti-13972	270	10	algorithms	algorithm	NOUN
aiti-13972	270	11	could	could	AUX
aiti-13972	270	12	identify	identify	VERB
aiti-13972	270	13	the	the	DET
aiti-13972	270	14	disease	disease	NOUN
aiti-13972	270	15	accurately	accurately	ADV
aiti-13972	270	16	with	with	ADP
aiti-13972	270	17	less	less	ADJ
aiti-13972	270	18	number	number	NOUN
aiti-13972	270	19	of	of	ADP
aiti-13972	270	20	features	feature	NOUN
aiti-13972	270	21	.	.	PUNCT
aiti-13972	271	1	the	the	DET
aiti-13972	271	2	additional	additional	ADJ
aiti-13972	271	3	key	key	ADJ
aiti-13972	271	4	points	point	NOUN
aiti-13972	271	5	are	be	AUX
aiti-13972	271	6	:	:	PUNCT
aiti-13972	271	7	(	(	PUNCT
aiti-13972	271	8	1	1	X
aiti-13972	271	9	)	)	PUNCT
aiti-13972	271	10	the	the	DET
aiti-13972	271	11	model	model	NOUN
aiti-13972	271	12	achieves	achieve	VERB
aiti-13972	271	13	accuracies	accuracy	NOUN
aiti-13972	271	14	of	of	ADP
aiti-13972	271	15	90.1	90.1	NUM
aiti-13972	271	16	%	%	NOUN
aiti-13972	271	17	,	,	PUNCT
aiti-13972	271	18	88.5	88.5	NUM
aiti-13972	271	19	%	%	NOUN
aiti-13972	271	20	,	,	PUNCT
aiti-13972	271	21	and	and	CCONJ
aiti-13972	271	22	83.6	83.6	NUM
aiti-13972	271	23	%	%	NOUN
aiti-13972	271	24	,	,	PUNCT
aiti-13972	271	25	for	for	ADP
aiti-13972	271	26	the	the	DET
aiti-13972	271	27	lr	lr	PROPN
aiti-13972	271	28	,	,	PUNCT
aiti-13972	271	29	dt	dt	X
aiti-13972	271	30	,	,	PUNCT
aiti-13972	271	31	and	and	CCONJ
aiti-13972	271	32	rf	rf	NOUN
aiti-13972	271	33	classifiers	classifier	NOUN
aiti-13972	271	34	respectively	respectively	ADV
aiti-13972	271	35	.	.	PUNCT
aiti-13972	272	1	(	(	PUNCT
aiti-13972	272	2	2	2	X
aiti-13972	272	3	)	)	PUNCT
aiti-13972	272	4	the	the	DET
aiti-13972	272	5	acohc	acohc	PROPN
aiti-13972	272	6	technique	technique	NOUN
aiti-13972	272	7	attained	attain	VERB
aiti-13972	272	8	a	a	DET
aiti-13972	272	9	precision	precision	NOUN
aiti-13972	272	10	of	of	ADP
aiti-13972	272	11	93.1	93.1	NUM
aiti-13972	272	12	%	%	NOUN
aiti-13972	272	13	,	,	PUNCT
aiti-13972	272	14	specificity	specificity	NOUN
aiti-13972	272	15	of	of	ADP
aiti-13972	272	16	93.9	93.9	NUM
aiti-13972	272	17	%	%	NOUN
aiti-13972	272	18	,	,	PUNCT
aiti-13972	272	19	f	f	X
aiti-13972	272	20	-	-	PUNCT
aiti-13972	272	21	score	score	NOUN
aiti-13972	272	22	of	of	ADP
aiti-13972	272	23	94.7	94.7	NUM
aiti-13972	272	24	%	%	NOUN
aiti-13972	272	25	,	,	PUNCT
aiti-13972	272	26	and	and	CCONJ
aiti-13972	272	27	auroc	auroc	NOUN
aiti-13972	272	28	score	score	NOUN
aiti-13972	272	29	of	of	ADP
aiti-13972	272	30	95.7	95.7	NUM
aiti-13972	272	31	%	%	NOUN
aiti-13972	272	32	using	use	VERB
aiti-13972	272	33	an	an	DET
aiti-13972	272	34	svm	svm	ADJ
aiti-13972	272	35	classifier	classifier	NOUN
aiti-13972	272	36	.	.	PUNCT
aiti-13972	273	1	a	a	DET
aiti-13972	273	2	hybrid	hybrid	ADJ
aiti-13972	273	3	approach	approach	NOUN
aiti-13972	273	4	combines	combine	VERB
aiti-13972	273	5	several	several	ADJ
aiti-13972	273	6	feature	feature	NOUN
aiti-13972	273	7	selection	selection	NOUN
aiti-13972	273	8	strategies	strategy	NOUN
aiti-13972	273	9	,	,	PUNCT
aiti-13972	273	10	ultimately	ultimately	ADV
aiti-13972	273	11	enabling	enable	VERB
aiti-13972	273	12	the	the	DET
aiti-13972	273	13	extraction	extraction	NOUN
aiti-13972	273	14	of	of	ADP
aiti-13972	273	15	the	the	DET
aiti-13972	273	16	best	good	ADJ
aiti-13972	273	17	feature	feature	NOUN
aiti-13972	273	18	subsets	subset	NOUN
aiti-13972	273	19	for	for	ADP
aiti-13972	273	20	model	model	NOUN
aiti-13972	273	21	building	building	NOUN
aiti-13972	273	22	.	.	PUNCT
aiti-13972	274	1	future	future	ADJ
aiti-13972	274	2	work	work	NOUN
aiti-13972	274	3	can	can	AUX
aiti-13972	274	4	focus	focus	VERB
aiti-13972	274	5	on	on	ADP
aiti-13972	274	6	using	use	VERB
aiti-13972	274	7	real	real	ADJ
aiti-13972	274	8	-	-	PUNCT
aiti-13972	274	9	time	time	NOUN
aiti-13972	274	10	medical	medical	ADJ
aiti-13972	274	11	records	record	NOUN
aiti-13972	274	12	from	from	ADP
aiti-13972	274	13	different	different	ADJ
aiti-13972	274	14	regions	region	NOUN
aiti-13972	274	15	that	that	PRON
aiti-13972	274	16	may	may	AUX
aiti-13972	274	17	help	help	VERB
aiti-13972	274	18	to	to	PART
aiti-13972	274	19	improve	improve	VERB
aiti-13972	274	20	the	the	DET
aiti-13972	274	21	accuracy	accuracy	NOUN
aiti-13972	274	22	of	of	ADP
aiti-13972	274	23	heart	heart	NOUN
aiti-13972	274	24	disease	disease	NOUN
aiti-13972	274	25	prediction	prediction	NOUN
aiti-13972	274	26	algorithms	algorithm	NOUN
aiti-13972	274	27	.	.	PUNCT
aiti-13972	275	1	a	a	DET
aiti-13972	275	2	limitation	limitation	NOUN
aiti-13972	275	3	of	of	ADP
aiti-13972	275	4	this	this	DET
aiti-13972	275	5	work	work	NOUN
aiti-13972	275	6	is	be	AUX
aiti-13972	275	7	that	that	SCONJ
aiti-13972	275	8	if	if	SCONJ
aiti-13972	275	9	the	the	DET
aiti-13972	275	10	data	data	NOUN
aiti-13972	275	11	is	be	AUX
aiti-13972	275	12	not	not	PART
aiti-13972	275	13	acquired	acquire	VERB
aiti-13972	275	14	properly	properly	ADV
aiti-13972	275	15	or	or	CCONJ
aiti-13972	275	16	contains	contain	VERB
aiti-13972	275	17	a	a	DET
aiti-13972	275	18	high	high	ADJ
aiti-13972	275	19	number	number	NOUN
aiti-13972	275	20	of	of	ADP
aiti-13972	275	21	missing	miss	VERB
aiti-13972	275	22	values	value	NOUN
aiti-13972	275	23	,	,	PUNCT
aiti-13972	275	24	it	it	PRON
aiti-13972	275	25	may	may	AUX
aiti-13972	275	26	impact	impact	VERB
aiti-13972	275	27	the	the	DET
aiti-13972	275	28	quality	quality	NOUN
aiti-13972	275	29	of	of	ADP
aiti-13972	275	30	the	the	DET
aiti-13972	275	31	features	feature	NOUN
aiti-13972	275	32	and	and	CCONJ
aiti-13972	275	33	,	,	PUNCT
aiti-13972	275	34	consequently	consequently	ADV
aiti-13972	275	35	,	,	PUNCT
aiti-13972	275	36	the	the	DET
aiti-13972	275	37	performance	performance	NOUN
aiti-13972	275	38	of	of	ADP
aiti-13972	275	39	the	the	DET
aiti-13972	275	40	system	system	NOUN
aiti-13972	275	41	.	.	PUNCT
aiti-13972	276	1	conflicts	conflict	NOUN
aiti-13972	276	2	of	of	ADP
aiti-13972	276	3	interest	interest	NOUN
aiti-13972	276	4	the	the	DET
aiti-13972	276	5	authors	author	NOUN
aiti-13972	276	6	declare	declare	VERB
aiti-13972	276	7	no	no	DET
aiti-13972	276	8	conflict	conflict	NOUN
aiti-13972	276	9	of	of	ADP
aiti-13972	276	10	interest	interest	NOUN
aiti-13972	276	11	.	.	PUNCT
aiti-13972	277	1	references	reference	NOUN
aiti-13972	277	2	[	[	X
aiti-13972	277	3	1	1	X
aiti-13972	277	4	]	]	PUNCT
aiti-13972	277	5	v.	v.	PROPN
aiti-13972	277	6	p.	p.	PROPN
aiti-13972	277	7	kavitha	kavitha	PROPN
aiti-13972	277	8	,	,	PUNCT
aiti-13972	277	9	v.	v.	PROPN
aiti-13972	277	10	janarthanan	janarthanan	PROPN
aiti-13972	277	11	,	,	PUNCT
aiti-13972	277	12	t.	t.	PROPN
aiti-13972	277	13	annamalai	annamalai	PROPN
aiti-13972	277	14	,	,	PUNCT
aiti-13972	277	15	and	and	CCONJ
aiti-13972	277	16	m.	m.	NOUN
aiti-13972	277	17	arumugam	arumugam	NOUN
aiti-13972	277	18	,	,	PUNCT
aiti-13972	277	19	“	"	PUNCT
aiti-13972	277	20	enhancing	enhance	VERB
aiti-13972	277	21	healthcare	healthcare	NOUN
aiti-13972	277	22	in	in	ADP
aiti-13972	277	23	the	the	DET
aiti-13972	277	24	digital	digital	ADJ
aiti-13972	277	25	era	era	NOUN
aiti-13972	277	26	:	:	PUNCT
aiti-13972	277	27	a	a	DET
aiti-13972	277	28	secure	secure	ADJ
aiti-13972	277	29	e	e	NOUN
aiti-13972	277	30	-	-	ADJ
aiti-13972	277	31	health	health	NOUN
aiti-13972	277	32	system	system	NOUN
aiti-13972	277	33	for	for	ADP
aiti-13972	277	34	heart	heart	NOUN
aiti-13972	277	35	disease	disease	NOUN
aiti-13972	277	36	prediction	prediction	NOUN
aiti-13972	277	37	and	and	CCONJ
aiti-13972	277	38	cloud	cloud	NOUN
aiti-13972	277	39	security	security	NOUN
aiti-13972	277	40	,	,	PUNCT
aiti-13972	277	41	”	"	PUNCT
aiti-13972	277	42	expert	expert	NOUN
aiti-13972	277	43	systems	system	NOUN
aiti-13972	277	44	with	with	ADP
aiti-13972	277	45	applications	application	NOUN
aiti-13972	277	46	,	,	PUNCT
aiti-13972	277	47	vol	vol	NOUN
aiti-13972	277	48	.	.	PUNCT
aiti-13972	277	49	255	255	NUM
aiti-13972	277	50	,	,	PUNCT
aiti-13972	277	51	part	part	NOUN
aiti-13972	277	52	a	a	X
aiti-13972	277	53	,	,	PUNCT
aiti-13972	277	54	article	article	NOUN
aiti-13972	277	55	no	no	NOUN
aiti-13972	277	56	.	.	PROPN
aiti-13972	277	57	124479	124479	NUM
aiti-13972	277	58	,	,	PUNCT
aiti-13972	277	59	december	december	PROPN
aiti-13972	277	60	2024	2024	NUM
aiti-13972	277	61	.	.	PUNCT
aiti-13972	278	1	[	[	X
aiti-13972	278	2	2	2	NUM
aiti-13972	278	3	]	]	PUNCT
aiti-13972	278	4	o.	o.	PROPN
aiti-13972	278	5	gaidai	gaidai	PROPN
aiti-13972	278	6	,	,	PUNCT
aiti-13972	278	7	y.	y.	PROPN
aiti-13972	278	8	cao	cao	PROPN
aiti-13972	278	9	,	,	PUNCT
aiti-13972	278	10	and	and	CCONJ
aiti-13972	278	11	s.	s.	PROPN
aiti-13972	278	12	loginov	loginov	PROPN
aiti-13972	278	13	,	,	PUNCT
aiti-13972	278	14	“	"	PUNCT
aiti-13972	278	15	global	global	ADJ
aiti-13972	278	16	cardiovascular	cardiovascular	ADJ
aiti-13972	278	17	diseases	disease	NOUN
aiti-13972	278	18	death	death	NOUN
aiti-13972	278	19	rate	rate	NOUN
aiti-13972	278	20	prediction	prediction	NOUN
aiti-13972	278	21	,	,	PUNCT
aiti-13972	278	22	”	"	PUNCT
aiti-13972	278	23	current	current	ADJ
aiti-13972	278	24	problems	problem	NOUN
aiti-13972	278	25	in	in	ADP
aiti-13972	278	26	cardiology	cardiology	NOUN
aiti-13972	278	27	,	,	PUNCT
aiti-13972	278	28	vol	vol	NOUN
aiti-13972	278	29	.	.	PROPN
aiti-13972	278	30	48	48	NUM
aiti-13972	278	31	,	,	PUNCT
aiti-13972	278	32	no	no	INTJ
aiti-13972	278	33	.	.	NOUN
aiti-13972	278	34	5	5	NUM
aiti-13972	278	35	,	,	PUNCT
aiti-13972	278	36	article	article	NOUN
aiti-13972	278	37	no	no	NOUN
aiti-13972	278	38	.	.	PROPN
aiti-13972	278	39	101622	101622	NUM
aiti-13972	278	40	,	,	PUNCT
aiti-13972	278	41	may	may	AUX
aiti-13972	278	42	2023	2023	NUM
aiti-13972	278	43	.	.	PUNCT
aiti-13972	279	1	advances	advance	NOUN
aiti-13972	279	2	in	in	ADP
aiti-13972	279	3	technology	technology	NOUN
aiti-13972	279	4	innovation	innovation	NOUN
aiti-13972	279	5	,	,	PUNCT
aiti-13972	279	6	vol	vol	NOUN
aiti-13972	279	7	.	.	PROPN
aiti-13972	279	8	9	9	NUM
aiti-13972	279	9	,	,	PUNCT
aiti-13972	279	10	no	no	INTJ
aiti-13972	279	11	.	.	NOUN
aiti-13972	279	12	4	4	NUM
aiti-13972	279	13	,	,	PUNCT
aiti-13972	279	14	2024	2024	NUM
aiti-13972	279	15	,	,	PUNCT
aiti-13972	279	16	pp	pp	ADV
aiti-13972	279	17	.	.	PUNCT
aiti-13972	280	1	319	319	NUM
aiti-13972	280	2	-	-	SYM
aiti-13972	280	3	331	331	NUM
aiti-13972	280	4	331	331	NUM
aiti-13972	281	1	[	[	X
aiti-13972	281	2	3	3	NUM
aiti-13972	281	3	]	]	PUNCT
aiti-13972	281	4	r.	r.	PROPN
aiti-13972	281	5	bharti	bharti	PROPN
aiti-13972	281	6	,	,	PUNCT
aiti-13972	281	7	a.	a.	PROPN
aiti-13972	281	8	khamparia	khamparia	PROPN
aiti-13972	281	9	,	,	PUNCT
aiti-13972	281	10	m.	m.	NOUN
aiti-13972	281	11	shabaz	shabaz	PROPN
aiti-13972	281	12	,	,	PUNCT
aiti-13972	281	13	g.	g.	PROPN
aiti-13972	281	14	dhiman	dhiman	PROPN
aiti-13972	281	15	,	,	PUNCT
aiti-13972	281	16	s.	s.	PROPN
aiti-13972	281	17	pande	pande	PROPN
aiti-13972	281	18	,	,	PUNCT
aiti-13972	281	19	and	and	CCONJ
aiti-13972	281	20	p.	p.	PROPN
aiti-13972	281	21	singh	singh	PROPN
aiti-13972	281	22	,	,	PUNCT
aiti-13972	281	23	“	"	PUNCT
aiti-13972	281	24	prediction	prediction	NOUN
aiti-13972	281	25	of	of	ADP
aiti-13972	281	26	heart	heart	NOUN
aiti-13972	281	27	disease	disease	NOUN
aiti-13972	281	28	using	use	VERB
aiti-13972	281	29	a	a	DET
aiti-13972	281	30	combination	combination	NOUN
aiti-13972	281	31	of	of	ADP
aiti-13972	281	32	machine	machine	NOUN
aiti-13972	281	33	learning	learning	NOUN
aiti-13972	281	34	and	and	CCONJ
aiti-13972	281	35	deep	deep	ADJ
aiti-13972	281	36	learning	learning	NOUN
aiti-13972	281	37	,	,	PUNCT
aiti-13972	281	38	”	"	PUNCT
aiti-13972	281	39	computational	computational	ADJ
aiti-13972	281	40	intelligence	intelligence	NOUN
aiti-13972	281	41	and	and	CCONJ
aiti-13972	281	42	neuroscience	neuroscience	NOUN
aiti-13972	281	43	,	,	PUNCT
aiti-13972	281	44	vol	vol	NOUN
aiti-13972	281	45	.	.	NOUN
aiti-13972	281	46	2021	2021	NUM
aiti-13972	281	47	,	,	PUNCT
aiti-13972	281	48	article	article	NOUN
aiti-13972	281	49	no	no	NOUN
aiti-13972	281	50	.	.	PROPN
aiti-13972	281	51	8387680	8387680	NUM
aiti-13972	281	52	,	,	PUNCT
aiti-13972	281	53	2021	2021	NUM
aiti-13972	281	54	.	.	PUNCT
aiti-13972	282	1	[	[	X
aiti-13972	282	2	4	4	NUM
aiti-13972	282	3	]	]	PUNCT
aiti-13972	282	4	a.	a.	NOUN
aiti-13972	282	5	hutke	hutke	PROPN
aiti-13972	282	6	and	and	CCONJ
aiti-13972	282	7	j.	j.	PROPN
aiti-13972	282	8	deshmukh	deshmukh	PROPN
aiti-13972	282	9	,	,	PUNCT
aiti-13972	282	10	“	"	PUNCT
aiti-13972	282	11	a	a	DET
aiti-13972	282	12	systematic	systematic	ADJ
aiti-13972	282	13	review	review	NOUN
aiti-13972	282	14	of	of	ADP
aiti-13972	282	15	machine	machine	NOUN
aiti-13972	282	16	learning	learn	VERB
aiti-13972	282	17	approaches	approach	NOUN
aiti-13972	282	18	and	and	CCONJ
aiti-13972	282	19	missing	miss	VERB
aiti-13972	282	20	data	data	NOUN
aiti-13972	282	21	imputation	imputation	NOUN
aiti-13972	282	22	techniques	technique	NOUN
aiti-13972	282	23	for	for	ADP
aiti-13972	282	24	predicting	predict	VERB
aiti-13972	282	25	heart	heart	NOUN
aiti-13972	282	26	disease	disease	NOUN
aiti-13972	282	27	,	,	PUNCT
aiti-13972	282	28	”	"	PUNCT
aiti-13972	282	29	international	international	ADJ
aiti-13972	282	30	conference	conference	NOUN
aiti-13972	282	31	on	on	ADP
aiti-13972	282	32	advanced	advanced	ADJ
aiti-13972	282	33	computing	computing	NOUN
aiti-13972	282	34	technologies	technology	NOUN
aiti-13972	282	35	and	and	CCONJ
aiti-13972	282	36	applications	application	NOUN
aiti-13972	282	37	,	,	PUNCT
aiti-13972	282	38	pp	pp	ADJ
aiti-13972	282	39	.	.	PUNCT
aiti-13972	283	1	1	1	NUM
aiti-13972	283	2	-	-	SYM
aiti-13972	283	3	5	5	NUM
aiti-13972	283	4	,	,	PUNCT
aiti-13972	283	5	october	october	PROPN
aiti-13972	283	6	2023	2023	NUM
aiti-13972	283	7	.	.	PUNCT
aiti-13972	284	1	[	[	X
aiti-13972	284	2	5	5	X
aiti-13972	284	3	]	]	X
aiti-13972	284	4	h.	h.	PROPN
aiti-13972	284	5	rao	rao	PROPN
aiti-13972	284	6	,	,	PUNCT
aiti-13972	284	7	x.	x.	PROPN
aiti-13972	284	8	shi	shi	PROPN
aiti-13972	284	9	,	,	PUNCT
aiti-13972	284	10	a.	a.	PROPN
aiti-13972	284	11	k.	k.	PROPN
aiti-13972	284	12	rodrigue	rodrigue	PROPN
aiti-13972	284	13	,	,	PUNCT
aiti-13972	284	14	j.	j.	PROPN
aiti-13972	284	15	feng	feng	PROPN
aiti-13972	284	16	,	,	PUNCT
aiti-13972	284	17	y.	y.	PROPN
aiti-13972	284	18	xia	xia	PROPN
aiti-13972	284	19	,	,	PUNCT
aiti-13972	284	20	m.	m.	NOUN
aiti-13972	284	21	elhoseny	elhoseny	PROPN
aiti-13972	284	22	,	,	PUNCT
aiti-13972	284	23	et	et	PROPN
aiti-13972	284	24	al	al	PROPN
aiti-13972	284	25	.	.	PROPN
aiti-13972	284	26	,	,	PUNCT
aiti-13972	284	27	“	"	PUNCT
aiti-13972	284	28	feature	feature	NOUN
aiti-13972	284	29	selection	selection	NOUN
aiti-13972	284	30	based	base	VERB
aiti-13972	284	31	on	on	ADP
aiti-13972	284	32	artificial	artificial	ADJ
aiti-13972	284	33	bee	bee	NOUN
aiti-13972	284	34	colony	colony	NOUN
aiti-13972	284	35	and	and	CCONJ
aiti-13972	284	36	gradient	gradient	ADJ
aiti-13972	284	37	boosting	boost	VERB
aiti-13972	284	38	decision	decision	NOUN
aiti-13972	284	39	tree	tree	NOUN
aiti-13972	284	40	,	,	PUNCT
aiti-13972	284	41	”	"	PUNCT
aiti-13972	284	42	applied	apply	VERB
aiti-13972	284	43	soft	soft	ADJ
aiti-13972	284	44	computing	computing	NOUN
aiti-13972	284	45	,	,	PUNCT
aiti-13972	284	46	vol	vol	NOUN
aiti-13972	284	47	.	.	PROPN
aiti-13972	285	1	74	74	NUM
aiti-13972	285	2	,	,	PUNCT
aiti-13972	285	3	pp	pp	ADJ
aiti-13972	285	4	.	.	PUNCT
aiti-13972	286	1	634	634	NUM
aiti-13972	286	2	-	-	SYM
aiti-13972	286	3	642	642	NUM
aiti-13972	286	4	,	,	PUNCT
aiti-13972	286	5	january	january	PROPN
aiti-13972	286	6	2019	2019	NUM
aiti-13972	286	7	.	.	PUNCT
aiti-13972	287	1	[	[	X
aiti-13972	287	2	6	6	NUM
aiti-13972	287	3	]	]	PUNCT
aiti-13972	287	4	a.	a.	NOUN
aiti-13972	287	5	bhattacharya	bhattacharya	PROPN
aiti-13972	287	6	,	,	PUNCT
aiti-13972	287	7	r.	r.	PROPN
aiti-13972	287	8	t.	t.	PROPN
aiti-13972	287	9	goswami	goswami	PROPN
aiti-13972	287	10	,	,	PUNCT
aiti-13972	287	11	k.	k.	PROPN
aiti-13972	287	12	mukherjee	mukherjee	PROPN
aiti-13972	287	13	,	,	PUNCT
aiti-13972	287	14	and	and	CCONJ
aiti-13972	287	15	n.	n.	PROPN
aiti-13972	287	16	g.	g.	PROPN
aiti-13972	287	17	nguyen	nguyen	PROPN
aiti-13972	287	18	,	,	PUNCT
aiti-13972	287	19	“	"	PUNCT
aiti-13972	287	20	an	an	DET
aiti-13972	287	21	ensemble	ensemble	ADJ
aiti-13972	287	22	voted	vote	VERB
aiti-13972	287	23	feature	feature	NOUN
aiti-13972	287	24	selection	selection	NOUN
aiti-13972	287	25	technique	technique	NOUN
aiti-13972	287	26	for	for	ADP
aiti-13972	287	27	predictive	predictive	ADJ
aiti-13972	287	28	modeling	modeling	NOUN
aiti-13972	287	29	of	of	ADP
aiti-13972	287	30	malwares	malware	NOUN
aiti-13972	287	31	of	of	ADP
aiti-13972	287	32	android	android	PROPN
aiti-13972	287	33	,	,	PUNCT
aiti-13972	287	34	”	"	PUNCT
aiti-13972	287	35	international	international	ADJ
aiti-13972	287	36	journal	journal	NOUN
aiti-13972	287	37	of	of	ADP
aiti-13972	287	38	information	information	NOUN
aiti-13972	287	39	system	system	NOUN
aiti-13972	287	40	modeling	modeling	NOUN
aiti-13972	287	41	and	and	CCONJ
aiti-13972	287	42	design	design	NOUN
aiti-13972	287	43	,	,	PUNCT
aiti-13972	287	44	vol	vol	NOUN
aiti-13972	287	45	.	.	PROPN
aiti-13972	287	46	10	10	NUM
aiti-13972	287	47	,	,	PUNCT
aiti-13972	287	48	no	no	INTJ
aiti-13972	287	49	.	.	NOUN
aiti-13972	287	50	2	2	NUM
aiti-13972	287	51	,	,	PUNCT
aiti-13972	287	52	pp	pp	ADJ
aiti-13972	287	53	.	.	PUNCT
aiti-13972	288	1	46	46	NUM
aiti-13972	288	2	-	-	SYM
aiti-13972	288	3	69	69	NUM
aiti-13972	288	4	,	,	PUNCT
aiti-13972	288	5	2019	2019	NUM
aiti-13972	288	6	.	.	PUNCT
aiti-13972	289	1	[	[	X
aiti-13972	289	2	7	7	X
aiti-13972	289	3	]	]	X
aiti-13972	289	4	m.	m.	NOUN
aiti-13972	289	5	ahsan	ahsan	PROPN
aiti-13972	289	6	and	and	CCONJ
aiti-13972	289	7	z.	z.	PROPN
aiti-13972	289	8	siddique	siddique	PROPN
aiti-13972	289	9	,	,	PUNCT
aiti-13972	289	10	“	"	PUNCT
aiti-13972	289	11	machine	machine	NOUN
aiti-13972	289	12	learning	learning	NOUN
aiti-13972	289	13	-	-	PUNCT
aiti-13972	289	14	based	base	VERB
aiti-13972	289	15	heart	heart	NOUN
aiti-13972	289	16	disease	disease	NOUN
aiti-13972	289	17	diagnosis	diagnosis	NOUN
aiti-13972	289	18	:	:	PUNCT
aiti-13972	289	19	a	a	DET
aiti-13972	289	20	systematic	systematic	ADJ
aiti-13972	289	21	literature	literature	NOUN
aiti-13972	289	22	review	review	NOUN
aiti-13972	289	23	,	,	PUNCT
aiti-13972	289	24	”	"	PUNCT
aiti-13972	289	25	artificial	artificial	ADJ
aiti-13972	289	26	intelligence	intelligence	NOUN
aiti-13972	289	27	in	in	ADP
aiti-13972	289	28	medicine	medicine	NOUN
aiti-13972	289	29	,	,	PUNCT
aiti-13972	289	30	vol	vol	NOUN
aiti-13972	289	31	.	.	PROPN
aiti-13972	289	32	128	128	NUM
aiti-13972	289	33	,	,	PUNCT
aiti-13972	289	34	article	article	NOUN
aiti-13972	289	35	no	no	NOUN
aiti-13972	289	36	.	.	PROPN
aiti-13972	289	37	102289	102289	NUM
aiti-13972	289	38	,	,	PUNCT
aiti-13972	289	39	june	june	PROPN
aiti-13972	289	40	2022	2022	NUM
aiti-13972	289	41	.	.	PUNCT
aiti-13972	290	1	[	[	X
aiti-13972	290	2	8	8	NUM
aiti-13972	290	3	]	]	PUNCT
aiti-13972	290	4	a.	a.	NOUN
aiti-13972	290	5	k.	k.	PROPN
aiti-13972	290	6	gárate	gárate	PROPN
aiti-13972	290	7	-	-	PUNCT
aiti-13972	290	8	escamila	escamila	PROPN
aiti-13972	290	9	,	,	PUNCT
aiti-13972	290	10	a.	a.	PROPN
aiti-13972	290	11	h.	h.	PROPN
aiti-13972	290	12	el	el	PROPN
aiti-13972	290	13	hassani	hassani	PROPN
aiti-13972	290	14	,	,	PUNCT
aiti-13972	290	15	and	and	CCONJ
aiti-13972	290	16	e.	e.	PROPN
aiti-13972	290	17	andrès	andrès	PROPN
aiti-13972	290	18	,	,	PUNCT
aiti-13972	290	19	“	"	PUNCT
aiti-13972	290	20	classification	classification	NOUN
aiti-13972	290	21	models	model	NOUN
aiti-13972	290	22	for	for	ADP
aiti-13972	290	23	heart	heart	NOUN
aiti-13972	290	24	disease	disease	NOUN
aiti-13972	290	25	prediction	prediction	NOUN
aiti-13972	290	26	using	use	VERB
aiti-13972	290	27	feature	feature	NOUN
aiti-13972	290	28	selection	selection	NOUN
aiti-13972	290	29	and	and	CCONJ
aiti-13972	290	30	pca	pca	NOUN
aiti-13972	290	31	,	,	PUNCT
aiti-13972	290	32	”	"	PUNCT
aiti-13972	290	33	informatics	informatic	NOUN
aiti-13972	290	34	in	in	ADP
aiti-13972	290	35	medicine	medicine	NOUN
aiti-13972	290	36	unlocked	unlock	VERB
aiti-13972	290	37	,	,	PUNCT
aiti-13972	290	38	vol	vol	NOUN
aiti-13972	290	39	.	.	PROPN
aiti-13972	290	40	19	19	NUM
aiti-13972	290	41	,	,	PUNCT
aiti-13972	290	42	article	article	NOUN
aiti-13972	290	43	no	no	NOUN
aiti-13972	290	44	.	.	PROPN
aiti-13972	290	45	100330	100330	NUM
aiti-13972	290	46	,	,	PUNCT
aiti-13972	290	47	2020	2020	NUM
aiti-13972	291	1	[	[	X
aiti-13972	291	2	9	9	NUM
aiti-13972	291	3	]	]	X
aiti-13972	291	4	u.	u.	PROPN
aiti-13972	291	5	moorthy	moorthy	PROPN
aiti-13972	291	6	and	and	CCONJ
aiti-13972	291	7	u.	u.	PROPN
aiti-13972	291	8	d.	d.	PROPN
aiti-13972	291	9	gandhi	gandhi	PROPN
aiti-13972	291	10	,	,	PUNCT
aiti-13972	291	11	“	"	PUNCT
aiti-13972	291	12	a	a	DET
aiti-13972	291	13	novel	novel	ADJ
aiti-13972	291	14	optimal	optimal	ADJ
aiti-13972	291	15	feature	feature	NOUN
aiti-13972	291	16	selection	selection	NOUN
aiti-13972	291	17	technique	technique	NOUN
aiti-13972	291	18	for	for	ADP
aiti-13972	291	19	medical	medical	ADJ
aiti-13972	291	20	data	datum	NOUN
aiti-13972	291	21	classification	classification	NOUN
aiti-13972	291	22	using	use	VERB
aiti-13972	291	23	anova	anova	PROPN
aiti-13972	291	24	based	base	VERB
aiti-13972	291	25	whale	whale	NOUN
aiti-13972	291	26	optimization	optimization	NOUN
aiti-13972	291	27	,	,	PUNCT
aiti-13972	291	28	”	"	PUNCT
aiti-13972	291	29	journal	journal	NOUN
aiti-13972	291	30	of	of	ADP
aiti-13972	291	31	ambient	ambient	ADJ
aiti-13972	291	32	intelligence	intelligence	NOUN
aiti-13972	291	33	and	and	CCONJ
aiti-13972	291	34	humanized	humanize	VERB
aiti-13972	291	35	computing	computing	NOUN
aiti-13972	291	36	,	,	PUNCT
aiti-13972	291	37	vol	vol	NOUN
aiti-13972	291	38	.	.	PROPN
aiti-13972	291	39	12	12	NUM
aiti-13972	291	40	,	,	PUNCT
aiti-13972	291	41	no	no	INTJ
aiti-13972	291	42	.	.	NOUN
aiti-13972	291	43	3	3	NUM
aiti-13972	291	44	,	,	PUNCT
aiti-13972	291	45	pp	pp	ADJ
aiti-13972	291	46	.	.	PUNCT
aiti-13972	292	1	3527	3527	NUM
aiti-13972	292	2	-	-	SYM
aiti-13972	292	3	3538	3538	NUM
aiti-13972	292	4	,	,	PUNCT
aiti-13972	292	5	march	march	NOUN
aiti-13972	292	6	2021	2021	NUM
aiti-13972	292	7	.	.	PUNCT
aiti-13972	293	1	[	[	X
aiti-13972	293	2	10	10	NUM
aiti-13972	293	3	]	]	X
aiti-13972	293	4	r.	r.	PROPN
aiti-13972	293	5	aggrawal	aggrawal	PROPN
aiti-13972	293	6	and	and	CCONJ
aiti-13972	293	7	s.	s.	PROPN
aiti-13972	293	8	pal	pal	PROPN
aiti-13972	293	9	,	,	PUNCT
aiti-13972	293	10	“	"	PUNCT
aiti-13972	293	11	sequential	sequential	ADJ
aiti-13972	293	12	feature	feature	NOUN
aiti-13972	293	13	selection	selection	NOUN
aiti-13972	293	14	and	and	CCONJ
aiti-13972	293	15	machine	machine	NOUN
aiti-13972	293	16	learning	learning	NOUN
aiti-13972	293	17	algorithm	algorithm	NOUN
aiti-13972	293	18	-	-	PUNCT
aiti-13972	293	19	based	base	VERB
aiti-13972	293	20	patient	patient	NOUN
aiti-13972	293	21	’s	’s	PART
aiti-13972	293	22	death	death	NOUN
aiti-13972	293	23	events	event	NOUN
aiti-13972	293	24	prediction	prediction	NOUN
aiti-13972	293	25	and	and	CCONJ
aiti-13972	293	26	diagnosis	diagnosis	NOUN
aiti-13972	293	27	in	in	ADP
aiti-13972	293	28	heart	heart	NOUN
aiti-13972	293	29	disease	disease	NOUN
aiti-13972	293	30	,	,	PUNCT
aiti-13972	293	31	”	"	PUNCT
aiti-13972	293	32	sn	sn	PROPN
aiti-13972	293	33	computer	computer	NOUN
aiti-13972	293	34	science	science	NOUN
aiti-13972	293	35	,	,	PUNCT
aiti-13972	293	36	vol	vol	NOUN
aiti-13972	293	37	.	.	PROPN
aiti-13972	293	38	1	1	NUM
aiti-13972	293	39	,	,	PUNCT
aiti-13972	293	40	no	no	INTJ
aiti-13972	293	41	.	.	NOUN
aiti-13972	293	42	6	6	NUM
aiti-13972	293	43	,	,	PUNCT
aiti-13972	293	44	article	article	NOUN
aiti-13972	293	45	no	no	NOUN
aiti-13972	293	46	.	.	PROPN
aiti-13972	293	47	344	344	NUM
aiti-13972	293	48	,	,	PUNCT
aiti-13972	293	49	november	november	PROPN
aiti-13972	293	50	2020	2020	NUM
aiti-13972	293	51	.	.	PUNCT
aiti-13972	294	1	[	[	X
aiti-13972	294	2	11	11	NUM
aiti-13972	294	3	]	]	PUNCT
aiti-13972	294	4	m.	m.	NOUN
aiti-13972	294	5	a.	a.	PROPN
aiti-13972	294	6	sulaiman	sulaiman	PROPN
aiti-13972	294	7	and	and	CCONJ
aiti-13972	294	8	j.	j.	PROPN
aiti-13972	294	9	labadin	labadin	PROPN
aiti-13972	294	10	,	,	PUNCT
aiti-13972	294	11	“	"	PUNCT
aiti-13972	294	12	feature	feature	NOUN
aiti-13972	294	13	selection	selection	NOUN
aiti-13972	294	14	based	base	VERB
aiti-13972	294	15	on	on	ADP
aiti-13972	294	16	mutual	mutual	ADJ
aiti-13972	294	17	information	information	NOUN
aiti-13972	294	18	,	,	PUNCT
aiti-13972	294	19	”	"	PUNCT
aiti-13972	294	20	9th	9th	ADJ
aiti-13972	294	21	international	international	ADJ
aiti-13972	294	22	conference	conference	NOUN
aiti-13972	294	23	on	on	ADP
aiti-13972	294	24	it	it	PRON
aiti-13972	294	25	in	in	ADP
aiti-13972	294	26	asia	asia	PROPN
aiti-13972	294	27	,	,	PUNCT
aiti-13972	294	28	pp	pp	ADJ
aiti-13972	294	29	.	.	PUNCT
aiti-13972	295	1	1	1	NUM
aiti-13972	295	2	-	-	SYM
aiti-13972	295	3	6	6	NUM
aiti-13972	295	4	,	,	PUNCT
aiti-13972	295	5	august	august	PROPN
aiti-13972	295	6	2015	2015	NUM
aiti-13972	295	7	.	.	PUNCT
aiti-13972	296	1	[	[	X
aiti-13972	296	2	12	12	NUM
aiti-13972	296	3	]	]	X
aiti-13972	296	4	s.	s.	PROPN
aiti-13972	296	5	kaushik	kaushik	PROPN
aiti-13972	296	6	,	,	PUNCT
aiti-13972	296	7	a.	a.	PROPN
aiti-13972	296	8	choudhury	choudhury	PROPN
aiti-13972	296	9	,	,	PUNCT
aiti-13972	296	10	a.	a.	PROPN
aiti-13972	296	11	k.	k.	PROPN
aiti-13972	296	12	jatav	jatav	PROPN
aiti-13972	296	13	,	,	PUNCT
aiti-13972	296	14	n.	n.	PROPN
aiti-13972	296	15	dasgupta	dasgupta	PROPN
aiti-13972	296	16	,	,	PUNCT
aiti-13972	296	17	s.	s.	PROPN
aiti-13972	296	18	natarajan	natarajan	PROPN
aiti-13972	296	19	,	,	PUNCT
aiti-13972	296	20	l.	l.	PROPN
aiti-13972	296	21	a.	a.	PROPN
aiti-13972	296	22	pickett	pickett	PROPN
aiti-13972	296	23	,	,	PUNCT
aiti-13972	296	24	et	et	PROPN
aiti-13972	296	25	.	.	PUNCT
aiti-13972	297	1	al	al	PROPN
aiti-13972	297	2	.	.	PROPN
aiti-13972	297	3	,	,	PUNCT
aiti-13972	297	4	“	"	PUNCT
aiti-13972	297	5	comparative	comparative	ADJ
aiti-13972	297	6	analysis	analysis	NOUN
aiti-13972	297	7	of	of	ADP
aiti-13972	297	8	features	feature	NOUN
aiti-13972	297	9	selection	selection	NOUN
aiti-13972	297	10	techniques	technique	NOUN
aiti-13972	297	11	for	for	ADP
aiti-13972	297	12	classification	classification	NOUN
aiti-13972	297	13	in	in	ADP
aiti-13972	297	14	healthcare	healthcare	NOUN
aiti-13972	297	15	,	,	PUNCT
aiti-13972	297	16	”	"	PUNCT
aiti-13972	297	17	lecture	lecture	NOUN
aiti-13972	297	18	notes	note	NOUN
aiti-13972	297	19	in	in	ADP
aiti-13972	297	20	computer	computer	NOUN
aiti-13972	297	21	science	science	NOUN
aiti-13972	297	22	,	,	PUNCT
aiti-13972	297	23	in	in	ADP
aiti-13972	297	24	press	press	NOUN
aiti-13972	297	25	.	.	PUNCT
aiti-13972	298	1	[	[	X
aiti-13972	298	2	13	13	NUM
aiti-13972	298	3	]	]	PUNCT
aiti-13972	298	4	s.	s.	PROPN
aiti-13972	298	5	tabakhi	tabakhi	PROPN
aiti-13972	298	6	,	,	PUNCT
aiti-13972	298	7	p.	p.	PROPN
aiti-13972	298	8	moradi	moradi	NOUN
aiti-13972	298	9	,	,	PUNCT
aiti-13972	298	10	and	and	CCONJ
aiti-13972	298	11	f.	f.	PROPN
aiti-13972	298	12	akhlaghian	akhlaghian	PROPN
aiti-13972	298	13	,	,	PUNCT
aiti-13972	298	14	“	"	PUNCT
aiti-13972	298	15	an	an	DET
aiti-13972	298	16	unsupervised	unsupervised	ADJ
aiti-13972	298	17	feature	feature	NOUN
aiti-13972	298	18	selection	selection	NOUN
aiti-13972	298	19	algorithm	algorithm	NOUN
aiti-13972	298	20	based	base	VERB
aiti-13972	298	21	on	on	ADP
aiti-13972	298	22	ant	ant	ADJ
aiti-13972	298	23	colony	colony	NOUN
aiti-13972	298	24	optimization	optimization	NOUN
aiti-13972	298	25	,	,	PUNCT
aiti-13972	298	26	”	"	PUNCT
aiti-13972	298	27	engineering	engineering	NOUN
aiti-13972	298	28	applications	application	NOUN
aiti-13972	298	29	of	of	ADP
aiti-13972	298	30	artificial	artificial	ADJ
aiti-13972	298	31	intelligence	intelligence	NOUN
aiti-13972	298	32	,	,	PUNCT
aiti-13972	298	33	vol	vol	NOUN
aiti-13972	298	34	.	.	PROPN
aiti-13972	298	35	32	32	NUM
aiti-13972	298	36	,	,	PUNCT
aiti-13972	298	37	pp	pp	ADJ
aiti-13972	298	38	.	.	PUNCT
aiti-13972	299	1	112	112	NUM
aiti-13972	299	2	-	-	SYM
aiti-13972	299	3	123	123	NUM
aiti-13972	299	4	,	,	PUNCT
aiti-13972	299	5	june	june	PROPN
aiti-13972	299	6	2014	2014	NUM
aiti-13972	299	7	.	.	PUNCT
aiti-13972	300	1	[	[	X
aiti-13972	300	2	14	14	NUM
aiti-13972	300	3	]	]	PUNCT
aiti-13972	300	4	purushottam	purushottam	NOUN
aiti-13972	300	5	,	,	PUNCT
aiti-13972	300	6	k.	k.	PROPN
aiti-13972	300	7	saxena	saxena	PROPN
aiti-13972	300	8	,	,	PUNCT
aiti-13972	300	9	and	and	CCONJ
aiti-13972	300	10	r.	r.	PROPN
aiti-13972	300	11	sharma	sharma	PROPN
aiti-13972	300	12	,	,	PUNCT
aiti-13972	300	13	“	"	PUNCT
aiti-13972	300	14	efficient	efficient	ADJ
aiti-13972	300	15	heart	heart	NOUN
aiti-13972	300	16	disease	disease	NOUN
aiti-13972	300	17	prediction	prediction	NOUN
aiti-13972	300	18	system	system	NOUN
aiti-13972	300	19	,	,	PUNCT
aiti-13972	300	20	”	"	PUNCT
aiti-13972	300	21	procedia	procedia	NOUN
aiti-13972	300	22	computer	computer	NOUN
aiti-13972	300	23	science	science	NOUN
aiti-13972	300	24	,	,	PUNCT
aiti-13972	300	25	vol	vol	NOUN
aiti-13972	300	26	.	.	PROPN
aiti-13972	300	27	85	85	NUM
aiti-13972	300	28	,	,	PUNCT
aiti-13972	300	29	pp	pp	ADJ
aiti-13972	300	30	.	.	PUNCT
aiti-13972	301	1	962	962	NUM
aiti-13972	301	2	-	-	SYM
aiti-13972	301	3	969	969	NUM
aiti-13972	301	4	,	,	PUNCT
aiti-13972	301	5	2016	2016	NUM
aiti-13972	301	6	.	.	PUNCT
aiti-13972	302	1	[	[	X
aiti-13972	302	2	15	15	NUM
aiti-13972	302	3	]	]	X
aiti-13972	302	4	m.	m.	NOUN
aiti-13972	302	5	a.	a.	PROPN
aiti-13972	302	6	jabbar	jabbar	PROPN
aiti-13972	302	7	,	,	PUNCT
aiti-13972	302	8	b.	b.	PROPN
aiti-13972	302	9	l.	l.	PROPN
aiti-13972	302	10	deekshatulu	deekshatulu	PROPN
aiti-13972	302	11	,	,	PUNCT
aiti-13972	302	12	and	and	CCONJ
aiti-13972	302	13	p.	p.	PROPN
aiti-13972	302	14	chandra	chandra	PROPN
aiti-13972	302	15	,	,	PUNCT
aiti-13972	302	16	“	"	PUNCT
aiti-13972	302	17	prediction	prediction	NOUN
aiti-13972	302	18	of	of	ADP
aiti-13972	302	19	heart	heart	NOUN
aiti-13972	302	20	disease	disease	NOUN
aiti-13972	302	21	using	use	VERB
aiti-13972	302	22	random	random	ADJ
aiti-13972	302	23	forest	forest	NOUN
aiti-13972	302	24	and	and	CCONJ
aiti-13972	302	25	feature	feature	NOUN
aiti-13972	302	26	subset	subset	NOUN
aiti-13972	302	27	selection	selection	NOUN
aiti-13972	302	28	,	,	PUNCT
aiti-13972	302	29	”	"	PUNCT
aiti-13972	302	30	proceedings	proceeding	NOUN
aiti-13972	302	31	of	of	ADP
aiti-13972	302	32	the	the	DET
aiti-13972	302	33	6th	6th	ADJ
aiti-13972	302	34	international	international	ADJ
aiti-13972	302	35	conference	conference	NOUN
aiti-13972	302	36	on	on	ADP
aiti-13972	302	37	innovations	innovation	NOUN
aiti-13972	302	38	in	in	ADP
aiti-13972	302	39	bio	bio	ADJ
aiti-13972	302	40	-	-	PUNCT
aiti-13972	302	41	inspired	inspire	VERB
aiti-13972	302	42	computing	computing	NOUN
aiti-13972	302	43	and	and	CCONJ
aiti-13972	302	44	applications	application	NOUN
aiti-13972	302	45	,	,	PUNCT
aiti-13972	302	46	pp	pp	ADJ
aiti-13972	302	47	.	.	PUNCT
aiti-13972	303	1	187	187	NUM
aiti-13972	303	2	-	-	SYM
aiti-13972	303	3	196	196	NUM
aiti-13972	303	4	,	,	PUNCT
aiti-13972	303	5	december	december	PROPN
aiti-13972	303	6	2015	2015	NUM
aiti-13972	303	7	.	.	PUNCT
aiti-13972	304	1	[	[	X
aiti-13972	304	2	16	16	NUM
aiti-13972	304	3	]	]	X
aiti-13972	304	4	w.	w.	PROPN
aiti-13972	304	5	wiharto	wiharto	PROPN
aiti-13972	304	6	,	,	PUNCT
aiti-13972	304	7	h.	h.	PROPN
aiti-13972	304	8	kusnanto	kusnanto	PROPN
aiti-13972	304	9	,	,	PUNCT
aiti-13972	304	10	and	and	CCONJ
aiti-13972	304	11	h.	h.	PROPN
aiti-13972	304	12	herianto	herianto	PROPN
aiti-13972	304	13	,	,	PUNCT
aiti-13972	304	14	“	"	PUNCT
aiti-13972	304	15	interpretation	interpretation	NOUN
aiti-13972	304	16	of	of	ADP
aiti-13972	304	17	clinical	clinical	ADJ
aiti-13972	304	18	data	datum	NOUN
aiti-13972	304	19	based	base	VERB
aiti-13972	304	20	on	on	ADP
aiti-13972	304	21	c4.5	c4.5	PROPN
aiti-13972	304	22	algorithm	algorithm	NOUN
aiti-13972	304	23	for	for	ADP
aiti-13972	304	24	the	the	DET
aiti-13972	304	25	diagnosis	diagnosis	NOUN
aiti-13972	304	26	of	of	ADP
aiti-13972	304	27	coronary	coronary	ADJ
aiti-13972	304	28	heart	heart	NOUN
aiti-13972	304	29	disease	disease	NOUN
aiti-13972	304	30	,	,	PUNCT
aiti-13972	304	31	”	"	PUNCT
aiti-13972	304	32	healthcare	healthcare	PROPN
aiti-13972	304	33	informatics	informatics	PROPN
aiti-13972	304	34	research	research	PROPN
aiti-13972	304	35	,	,	PUNCT
aiti-13972	304	36	vol	vol	NOUN
aiti-13972	304	37	.	.	PROPN
aiti-13972	304	38	22	22	NUM
aiti-13972	304	39	,	,	PUNCT
aiti-13972	304	40	no	no	INTJ
aiti-13972	304	41	.	.	NOUN
aiti-13972	304	42	3	3	NUM
aiti-13972	304	43	,	,	PUNCT
aiti-13972	304	44	pp	pp	ADJ
aiti-13972	304	45	.	.	PUNCT
aiti-13972	305	1	186	186	NUM
aiti-13972	305	2	-	-	SYM
aiti-13972	305	3	195	195	NUM
aiti-13972	305	4	,	,	PUNCT
aiti-13972	305	5	2016	2016	NUM
aiti-13972	305	6	.	.	PUNCT
aiti-13972	306	1	[	[	X
aiti-13972	306	2	17	17	NUM
aiti-13972	306	3	]	]	PUNCT
aiti-13972	306	4	a.	a.	NOUN
aiti-13972	306	5	u.	u.	PROPN
aiti-13972	306	6	haq	haq	PROPN
aiti-13972	306	7	,	,	PUNCT
aiti-13972	306	8	j.	j.	PROPN
aiti-13972	306	9	p.	p.	PROPN
aiti-13972	306	10	li	li	PROPN
aiti-13972	306	11	,	,	PUNCT
aiti-13972	306	12	m.	m.	PROPN
aiti-13972	306	13	h.	h.	PROPN
aiti-13972	306	14	memon	memon	PROPN
aiti-13972	306	15	,	,	PUNCT
aiti-13972	306	16	s.	s.	PROPN
aiti-13972	306	17	nazir	nazir	PROPN
aiti-13972	306	18	,	,	PUNCT
aiti-13972	306	19	and	and	CCONJ
aiti-13972	306	20	r.	r.	PROPN
aiti-13972	306	21	sun	sun	PROPN
aiti-13972	306	22	,	,	PUNCT
aiti-13972	306	23	“	"	PUNCT
aiti-13972	306	24	a	a	DET
aiti-13972	306	25	hybrid	hybrid	ADJ
aiti-13972	306	26	intelligent	intelligent	ADJ
aiti-13972	306	27	system	system	NOUN
aiti-13972	306	28	framework	framework	NOUN
aiti-13972	306	29	for	for	ADP
aiti-13972	306	30	the	the	DET
aiti-13972	306	31	prediction	prediction	NOUN
aiti-13972	306	32	of	of	ADP
aiti-13972	306	33	heart	heart	NOUN
aiti-13972	306	34	disease	disease	NOUN
aiti-13972	306	35	using	use	VERB
aiti-13972	306	36	machine	machine	NOUN
aiti-13972	306	37	learning	learning	NOUN
aiti-13972	306	38	algorithms	algorithm	NOUN
aiti-13972	306	39	,	,	PUNCT
aiti-13972	306	40	”	"	PUNCT
aiti-13972	306	41	mobile	mobile	ADJ
aiti-13972	306	42	information	information	NOUN
aiti-13972	306	43	systems	system	NOUN
aiti-13972	306	44	,	,	PUNCT
aiti-13972	306	45	vol	vol	NOUN
aiti-13972	306	46	.	.	NOUN
aiti-13972	306	47	2018	2018	NUM
aiti-13972	306	48	,	,	PUNCT
aiti-13972	306	49	article	article	NOUN
aiti-13972	306	50	no	no	NOUN
aiti-13972	306	51	.	.	PROPN
aiti-13972	306	52	3860146	3860146	NUM
aiti-13972	306	53	,	,	PUNCT
aiti-13972	306	54	2018	2018	NUM
aiti-13972	306	55	.	.	PUNCT
aiti-13972	307	1	[	[	X
aiti-13972	307	2	18	18	NUM
aiti-13972	307	3	]	]	X
aiti-13972	307	4	y.	y.	PROPN
aiti-13972	307	5	khourdifi	khourdifi	PROPN
aiti-13972	307	6	and	and	CCONJ
aiti-13972	307	7	m.	m.	PROPN
aiti-13972	307	8	bahaj	bahaj	PROPN
aiti-13972	307	9	,	,	PUNCT
aiti-13972	307	10	“	"	PUNCT
aiti-13972	307	11	heart	heart	NOUN
aiti-13972	307	12	disease	disease	NOUN
aiti-13972	307	13	prediction	prediction	NOUN
aiti-13972	307	14	and	and	CCONJ
aiti-13972	307	15	classification	classification	NOUN
aiti-13972	307	16	using	use	VERB
aiti-13972	307	17	machine	machine	NOUN
aiti-13972	307	18	learning	learn	VERB
aiti-13972	307	19	algorithms	algorithm	NOUN
aiti-13972	307	20	optimized	optimize	VERB
aiti-13972	307	21	by	by	ADP
aiti-13972	307	22	particle	particle	NOUN
aiti-13972	307	23	swarm	swarm	NOUN
aiti-13972	307	24	optimization	optimization	NOUN
aiti-13972	307	25	and	and	CCONJ
aiti-13972	307	26	ant	ant	ADJ
aiti-13972	307	27	colony	colony	NOUN
aiti-13972	307	28	optimization	optimization	NOUN
aiti-13972	307	29	,	,	PUNCT
aiti-13972	307	30	”	"	PUNCT
aiti-13972	307	31	international	international	ADJ
aiti-13972	307	32	journal	journal	NOUN
aiti-13972	307	33	of	of	ADP
aiti-13972	307	34	intelligent	intelligent	ADJ
aiti-13972	307	35	engineering	engineering	NOUN
aiti-13972	307	36	and	and	CCONJ
aiti-13972	307	37	systems	system	NOUN
aiti-13972	307	38	,	,	PUNCT
aiti-13972	307	39	vol	vol	NOUN
aiti-13972	307	40	.	.	PROPN
aiti-13972	307	41	12	12	NUM
aiti-13972	307	42	,	,	PUNCT
aiti-13972	307	43	no	no	INTJ
aiti-13972	307	44	.	.	NOUN
aiti-13972	307	45	1	1	NUM
aiti-13972	307	46	,	,	PUNCT
aiti-13972	307	47	pp	pp	ADJ
aiti-13972	307	48	.	.	PUNCT
aiti-13972	308	1	242	242	NUM
aiti-13972	308	2	-	-	SYM
aiti-13972	308	3	252	252	NUM
aiti-13972	308	4	,	,	PUNCT
aiti-13972	308	5	2019	2019	NUM
aiti-13972	308	6	.	.	PUNCT
aiti-13972	309	1	[	[	X
aiti-13972	309	2	19	19	NUM
aiti-13972	309	3	]	]	PUNCT
aiti-13972	309	4	a.	a.	NOUN
aiti-13972	309	5	jain	jain	PROPN
aiti-13972	309	6	,	,	PUNCT
aiti-13972	309	7	s.	s.	PROPN
aiti-13972	309	8	tiwari	tiwari	PROPN
aiti-13972	309	9	,	,	PUNCT
aiti-13972	309	10	and	and	CCONJ
aiti-13972	309	11	v.	v.	ADP
aiti-13972	309	12	sapra	sapra	PROPN
aiti-13972	309	13	,	,	PUNCT
aiti-13972	309	14	“	"	PUNCT
aiti-13972	309	15	two	two	NUM
aiti-13972	309	16	-	-	PUNCT
aiti-13972	309	17	phase	phase	NOUN
aiti-13972	309	18	heart	heart	NOUN
aiti-13972	309	19	disease	disease	NOUN
aiti-13972	309	20	diagnosis	diagnosis	NOUN
aiti-13972	309	21	system	system	NOUN
aiti-13972	309	22	using	use	VERB
aiti-13972	309	23	deep	deep	ADJ
aiti-13972	309	24	learning	learning	NOUN
aiti-13972	309	25	,	,	PUNCT
aiti-13972	309	26	”	"	PUNCT
aiti-13972	309	27	international	international	ADJ
aiti-13972	309	28	journal	journal	NOUN
aiti-13972	309	29	of	of	ADP
aiti-13972	309	30	control	control	NOUN
aiti-13972	309	31	and	and	CCONJ
aiti-13972	309	32	automation	automation	NOUN
aiti-13972	309	33	,	,	PUNCT
aiti-13972	309	34	vol	vol	NOUN
aiti-13972	309	35	.	.	PROPN
aiti-13972	309	36	12	12	NUM
aiti-13972	309	37	,	,	PUNCT
aiti-13972	309	38	no	no	INTJ
aiti-13972	309	39	.	.	NOUN
aiti-13972	309	40	5	5	NUM
aiti-13972	309	41	,	,	PUNCT
aiti-13972	309	42	pp	pp	ADJ
aiti-13972	309	43	.	.	PUNCT
aiti-13972	310	1	558	558	NUM
aiti-13972	310	2	-	-	SYM
aiti-13972	310	3	573	573	NUM
aiti-13972	310	4	,	,	PUNCT
aiti-13972	310	5	2019	2019	NUM
aiti-13972	310	6	.	.	PUNCT
aiti-13972	311	1	[	[	X
aiti-13972	311	2	20	20	NUM
aiti-13972	311	3	]	]	PUNCT
aiti-13972	311	4	l.	l.	PROPN
aiti-13972	311	5	ali	ali	PROPN
aiti-13972	311	6	,	,	PUNCT
aiti-13972	311	7	a.	a.	PROPN
aiti-13972	311	8	rahman	rahman	PROPN
aiti-13972	311	9	,	,	PUNCT
aiti-13972	311	10	a.	a.	PROPN
aiti-13972	311	11	khan	khan	PROPN
aiti-13972	311	12	,	,	PUNCT
aiti-13972	311	13	m.	m.	NOUN
aiti-13972	311	14	zhou	zhou	PROPN
aiti-13972	311	15	,	,	PUNCT
aiti-13972	311	16	a.	a.	NOUN
aiti-13972	311	17	javeed	javeed	NOUN
aiti-13972	311	18	,	,	PUNCT
aiti-13972	311	19	and	and	CCONJ
aiti-13972	311	20	j.	j.	PROPN
aiti-13972	311	21	a.	a.	PROPN
aiti-13972	311	22	khan	khan	PROPN
aiti-13972	311	23	,	,	PUNCT
aiti-13972	311	24	“	"	PUNCT
aiti-13972	311	25	an	an	DET
aiti-13972	311	26	automated	automate	VERB
aiti-13972	311	27	diagnostic	diagnostic	ADJ
aiti-13972	311	28	system	system	NOUN
aiti-13972	311	29	for	for	ADP
aiti-13972	311	30	heart	heart	NOUN
aiti-13972	311	31	disease	disease	NOUN
aiti-13972	311	32	prediction	prediction	NOUN
aiti-13972	311	33	based	base	VERB
aiti-13972	311	34	on	on	ADP
aiti-13972	311	35	χ2	χ2	PROPN
aiti-13972	311	36	statistical	statistical	ADJ
aiti-13972	311	37	model	model	NOUN
aiti-13972	311	38	and	and	CCONJ
aiti-13972	311	39	optimally	optimally	ADV
aiti-13972	311	40	configured	configure	VERB
aiti-13972	311	41	deep	deep	ADJ
aiti-13972	311	42	neural	neural	ADJ
aiti-13972	311	43	network	network	NOUN
aiti-13972	311	44	,	,	PUNCT
aiti-13972	311	45	”	"	PUNCT
aiti-13972	311	46	ieee	ieee	NOUN
aiti-13972	311	47	access	access	NOUN
aiti-13972	311	48	,	,	PUNCT
aiti-13972	311	49	vol	vol	NOUN
aiti-13972	311	50	.	.	PROPN
aiti-13972	311	51	7	7	NUM
aiti-13972	311	52	,	,	PUNCT
aiti-13972	311	53	pp	pp	ADJ
aiti-13972	311	54	.	.	PUNCT
aiti-13972	311	55	34938	34938	NUM
aiti-13972	311	56	-	-	SYM
aiti-13972	311	57	34945	34945	NUM
aiti-13972	311	58	,	,	PUNCT
aiti-13972	311	59	2019	2019	NUM
aiti-13972	311	60	.	.	PUNCT
aiti-13972	312	1	[	[	X
aiti-13972	312	2	21	21	NUM
aiti-13972	312	3	]	]	X
aiti-13972	312	4	m.	m.	NOUN
aiti-13972	312	5	abdar	abdar	NOUN
aiti-13972	312	6	,	,	PUNCT
aiti-13972	312	7	w.	w.	PROPN
aiti-13972	312	8	książek	książek	PROPN
aiti-13972	312	9	,	,	PUNCT
aiti-13972	312	10	u.	u.	PROPN
aiti-13972	312	11	r.	r.	PROPN
aiti-13972	312	12	acharya	acharya	PROPN
aiti-13972	312	13	,	,	PUNCT
aiti-13972	312	14	r.	r.	PROPN
aiti-13972	312	15	s.	s.	PROPN
aiti-13972	312	16	tan	tan	PROPN
aiti-13972	312	17	,	,	PUNCT
aiti-13972	312	18	v.	v.	ADP
aiti-13972	312	19	makarenkov	makarenkov	PROPN
aiti-13972	312	20	,	,	PUNCT
aiti-13972	312	21	and	and	CCONJ
aiti-13972	312	22	p.	p.	PROPN
aiti-13972	312	23	pławiak	pławiak	PROPN
aiti-13972	312	24	,	,	PUNCT
aiti-13972	312	25	“	"	PUNCT
aiti-13972	312	26	a	a	DET
aiti-13972	312	27	new	new	ADJ
aiti-13972	312	28	machine	machine	NOUN
aiti-13972	312	29	learning	learning	NOUN
aiti-13972	312	30	technique	technique	NOUN
aiti-13972	312	31	for	for	ADP
aiti-13972	312	32	an	an	DET
aiti-13972	312	33	accurate	accurate	ADJ
aiti-13972	312	34	diagnosis	diagnosis	NOUN
aiti-13972	312	35	of	of	ADP
aiti-13972	312	36	coronary	coronary	ADJ
aiti-13972	312	37	artery	artery	NOUN
aiti-13972	312	38	disease	disease	NOUN
aiti-13972	312	39	,	,	PUNCT
aiti-13972	312	40	”	"	PUNCT
aiti-13972	312	41	computer	computer	NOUN
aiti-13972	312	42	methods	method	NOUN
aiti-13972	312	43	and	and	CCONJ
aiti-13972	312	44	programs	program	NOUN
aiti-13972	312	45	in	in	ADP
aiti-13972	312	46	biomedicine	biomedicine	NOUN
aiti-13972	312	47	,	,	PUNCT
aiti-13972	312	48	vol	vol	NOUN
aiti-13972	312	49	.	.	PROPN
aiti-13972	312	50	179	179	NUM
aiti-13972	312	51	,	,	PUNCT
aiti-13972	312	52	article	article	NOUN
aiti-13972	312	53	no	no	NOUN
aiti-13972	312	54	.	.	PROPN
aiti-13972	312	55	104992	104992	NUM
aiti-13972	312	56	,	,	PUNCT
aiti-13972	312	57	october	october	PROPN
aiti-13972	312	58	2019	2019	NUM
aiti-13972	312	59	.	.	PUNCT
aiti-13972	313	1	[	[	X
aiti-13972	313	2	22	22	NUM
aiti-13972	313	3	]	]	PUNCT
aiti-13972	313	4	m.	m.	PROPN
aiti-13972	313	5	s.	s.	PROPN
aiti-13972	313	6	amin	amin	PROPN
aiti-13972	313	7	,	,	PUNCT
aiti-13972	313	8	y.	y.	PROPN
aiti-13972	313	9	k.	k.	PROPN
aiti-13972	313	10	chiam	chiam	PROPN
aiti-13972	313	11	,	,	PUNCT
aiti-13972	313	12	and	and	CCONJ
aiti-13972	313	13	k.	k.	PROPN
aiti-13972	313	14	d.	d.	PROPN
aiti-13972	313	15	varathan	varathan	ADV
aiti-13972	313	16	,	,	PUNCT
aiti-13972	313	17	“	"	PUNCT
aiti-13972	313	18	identification	identification	NOUN
aiti-13972	313	19	of	of	ADP
aiti-13972	313	20	significant	significant	ADJ
aiti-13972	313	21	features	feature	NOUN
aiti-13972	313	22	and	and	CCONJ
aiti-13972	313	23	data	datum	NOUN
aiti-13972	313	24	mining	mining	NOUN
aiti-13972	313	25	techniques	technique	NOUN
aiti-13972	313	26	in	in	ADP
aiti-13972	313	27	predicting	predict	VERB
aiti-13972	313	28	heart	heart	NOUN
aiti-13972	313	29	disease	disease	NOUN
aiti-13972	313	30	,	,	PUNCT
aiti-13972	313	31	”	"	PUNCT
aiti-13972	313	32	telematics	telematic	NOUN
aiti-13972	313	33	and	and	CCONJ
aiti-13972	313	34	informatics	informatic	NOUN
aiti-13972	313	35	,	,	PUNCT
aiti-13972	313	36	vol	vol	NOUN
aiti-13972	313	37	.	.	PROPN
aiti-13972	313	38	36	36	NUM
aiti-13972	313	39	,	,	PUNCT
aiti-13972	313	40	pp	pp	ADJ
aiti-13972	313	41	.	.	PUNCT
aiti-13972	314	1	82	82	NUM
aiti-13972	314	2	-	-	SYM
aiti-13972	314	3	93	93	NUM
aiti-13972	314	4	,	,	PUNCT
aiti-13972	314	5	march	march	PROPN
aiti-13972	314	6	2019	2019	NUM
aiti-13972	314	7	.	.	PUNCT
aiti-13972	315	1	[	[	X
aiti-13972	315	2	23	23	NUM
aiti-13972	315	3	]	]	PUNCT
aiti-13972	315	4	p.	p.	PROPN
aiti-13972	315	5	theerthagiri	theerthagiri	PROPN
aiti-13972	315	6	and	and	CCONJ
aiti-13972	315	7	j.	j.	PROPN
aiti-13972	315	8	vidya	vidya	PROPN
aiti-13972	315	9	,	,	PUNCT
aiti-13972	315	10	“	"	PUNCT
aiti-13972	315	11	cardiovascular	cardiovascular	ADJ
aiti-13972	315	12	disease	disease	NOUN
aiti-13972	315	13	prediction	prediction	NOUN
aiti-13972	315	14	using	use	VERB
aiti-13972	315	15	recursive	recursive	ADJ
aiti-13972	315	16	feature	feature	NOUN
aiti-13972	315	17	elimination	elimination	NOUN
aiti-13972	315	18	and	and	CCONJ
aiti-13972	315	19	gradient	gradient	NOUN
aiti-13972	315	20	boosting	boost	VERB
aiti-13972	315	21	classification	classification	NOUN
aiti-13972	315	22	techniques	technique	NOUN
aiti-13972	315	23	,	,	PUNCT
aiti-13972	315	24	”	"	PUNCT
aiti-13972	315	25	expert	expert	NOUN
aiti-13972	315	26	systems	system	NOUN
aiti-13972	315	27	,	,	PUNCT
aiti-13972	315	28	vol	vol	NOUN
aiti-13972	315	29	.	.	PROPN
aiti-13972	315	30	39	39	NUM
aiti-13972	315	31	,	,	PUNCT
aiti-13972	315	32	no	no	INTJ
aiti-13972	315	33	.	.	NOUN
aiti-13972	315	34	9	9	NUM
aiti-13972	315	35	,	,	PUNCT
aiti-13972	315	36	article	article	NOUN
aiti-13972	315	37	no	no	NOUN
aiti-13972	315	38	.	.	PUNCT
aiti-13972	316	1	e13064	e13064	NOUN
aiti-13972	316	2	,	,	PUNCT
aiti-13972	316	3	november	november	PROPN
aiti-13972	316	4	2022	2022	NUM
aiti-13972	316	5	.	.	PUNCT
aiti-13972	317	1	[	[	X
aiti-13972	317	2	24	24	NUM
aiti-13972	317	3	]	]	X
aiti-13972	317	4	d.	d.	PROPN
aiti-13972	317	5	tian	tian	PROPN
aiti-13972	317	6	and	and	CCONJ
aiti-13972	317	7	z.	z.	PROPN
aiti-13972	317	8	shi	shi	PROPN
aiti-13972	317	9	,	,	PUNCT
aiti-13972	317	10	“	"	PUNCT
aiti-13972	317	11	mpso	mpso	ADJ
aiti-13972	317	12	:	:	PUNCT
aiti-13972	317	13	modified	modify	VERB
aiti-13972	317	14	particle	particle	NOUN
aiti-13972	317	15	swarm	swarm	NOUN
aiti-13972	317	16	optimization	optimization	NOUN
aiti-13972	317	17	and	and	CCONJ
aiti-13972	317	18	its	its	PRON
aiti-13972	317	19	applications	application	NOUN
aiti-13972	317	20	,	,	PUNCT
aiti-13972	317	21	”	"	PUNCT
aiti-13972	317	22	swarm	swarm	NOUN
aiti-13972	317	23	and	and	CCONJ
aiti-13972	317	24	evolutionary	evolutionary	ADJ
aiti-13972	317	25	computation	computation	NOUN
aiti-13972	317	26	,	,	PUNCT
aiti-13972	317	27	vol	vol	NOUN
aiti-13972	317	28	.	.	PROPN
aiti-13972	317	29	41	41	NUM
aiti-13972	317	30	,	,	PUNCT
aiti-13972	317	31	pp	pp	ADJ
aiti-13972	317	32	.	.	PUNCT
aiti-13972	317	33	49	49	NUM
aiti-13972	317	34	-	-	SYM
aiti-13972	317	35	68	68	NUM
aiti-13972	317	36	,	,	PUNCT
aiti-13972	317	37	august	august	PROPN
aiti-13972	317	38	2018	2018	NUM
aiti-13972	317	39	.	.	PUNCT
aiti-13972	318	1	copyright	copyright	NOUN
aiti-13972	318	2	©	©	PROPN
aiti-13972	318	3	by	by	ADP
aiti-13972	318	4	the	the	DET
aiti-13972	318	5	authors	author	NOUN
aiti-13972	318	6	.	.	PUNCT
aiti-13972	319	1	licensee	licensee	PROPN
aiti-13972	319	2	taeti	taeti	PROPN
aiti-13972	319	3	,	,	PUNCT
aiti-13972	319	4	taiwan	taiwan	PROPN
aiti-13972	319	5	.	.	PUNCT
aiti-13972	320	1	this	this	DET
aiti-13972	320	2	article	article	NOUN
aiti-13972	320	3	is	be	AUX
aiti-13972	320	4	an	an	DET
aiti-13972	320	5	open	open	ADJ
aiti-13972	320	6	-	-	PUNCT
aiti-13972	320	7	access	access	NOUN
aiti-13972	320	8	article	article	NOUN
aiti-13972	320	9	distributed	distribute	VERB
aiti-13972	320	10	under	under	ADP
aiti-13972	320	11	the	the	DET
aiti-13972	320	12	terms	term	NOUN
aiti-13972	320	13	and	and	CCONJ
aiti-13972	320	14	conditions	condition	NOUN
aiti-13972	320	15	of	of	ADP
aiti-13972	320	16	the	the	DET
aiti-13972	320	17	creative	creative	ADJ
aiti-13972	320	18	commons	common	NOUN
aiti-13972	320	19	attribution	attribution	NOUN
aiti-13972	320	20	(	(	PUNCT
aiti-13972	320	21	cc	cc	NOUN
aiti-13972	320	22	by	by	ADP
aiti-13972	320	23	-	-	PUNCT
aiti-13972	320	24	nc	nc	NOUN
aiti-13972	320	25	)	)	PUNCT
aiti-13972	320	26	license	license	NOUN
aiti-13972	320	27	(	(	PUNCT
aiti-13972	320	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-13972	320	29	)	)	PUNCT
aiti-13972	320	30	.	.	PUNCT