id	sid	tid	token	lemma	pos
fuelectenerg-13528	1	1	13528	13528	NUM
fuelectenerg-13528	1	2	facta	facta	PROPN
fuelectenerg-13528	1	3	universitatis	universitatis	PROPN
fuelectenerg-13528	1	4	series	series	NOUN
fuelectenerg-13528	1	5	:	:	PUNCT
fuelectenerg-13528	1	6	electronics	electronic	NOUN
fuelectenerg-13528	1	7	and	and	CCONJ
fuelectenerg-13528	1	8	energetics	energetics	NOUN
fuelectenerg-13528	1	9	vol	vol	NOUN
fuelectenerg-13528	1	10	.	.	PROPN
fuelectenerg-13528	1	11	39	39	NUM
fuelectenerg-13528	1	12	,	,	PUNCT
fuelectenerg-13528	1	13	no	no	DET
fuelectenerg-13528	1	14	1	1	NUM
fuelectenerg-13528	1	15	,	,	PUNCT
fuelectenerg-13528	1	16	march	march	PROPN
fuelectenerg-13528	1	17	2026	2026	NUM
fuelectenerg-13528	1	18	,	,	PUNCT
fuelectenerg-13528	1	19	pp	pp	ADV
fuelectenerg-13528	1	20	.	.	PUNCT
fuelectenerg-13528	2	1	55	55	NUM
fuelectenerg-13528	2	2	76	76	NUM
fuelectenerg-13528	2	3	https://doi.org/10.2298/fuee2601055l	https://doi.org/10.2298/fuee2601055l	NOUN
fuelectenerg-13528	2	4	©	©	PROPN
fuelectenerg-13528	2	5	2026	2026	NUM
fuelectenerg-13528	2	6	by	by	ADP
fuelectenerg-13528	2	7	university	university	PROPN
fuelectenerg-13528	2	8	of	of	ADP
fuelectenerg-13528	2	9	niš	niš	PROPN
fuelectenerg-13528	2	10	,	,	PUNCT
fuelectenerg-13528	2	11	serbia	serbia	PROPN
fuelectenerg-13528	2	12	|	|	ADV
fuelectenerg-13528	2	13	creative	creative	ADJ
fuelectenerg-13528	2	14	commons	common	NOUN
fuelectenerg-13528	2	15	license	license	NOUN
fuelectenerg-13528	2	16	:	:	PUNCT
fuelectenerg-13528	2	17	cc	cc	VERB
fuelectenerg-13528	2	18	by	by	ADP
fuelectenerg-13528	2	19	-	-	PUNCT
fuelectenerg-13528	2	20	nc	nc	VERB
fuelectenerg-13528	2	21	-	-	PUNCT
fuelectenerg-13528	2	22	nd	nd	ADV
fuelectenerg-13528	2	23	original	original	ADJ
fuelectenerg-13528	2	24	scientific	scientific	ADJ
fuelectenerg-13528	2	25	paper	paper	NOUN
fuelectenerg-13528	2	26	optimizing	optimize	VERB
fuelectenerg-13528	2	27	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	2	28	disease	disease	NOUN
fuelectenerg-13528	2	29	diagnosis	diagnosis	NOUN
fuelectenerg-13528	2	30	:	:	PUNCT
fuelectenerg-13528	2	31	a	a	DET
fuelectenerg-13528	2	32	meta	meta	ADJ
fuelectenerg-13528	2	33	-	-	PUNCT
fuelectenerg-13528	2	34	heuristic	heuristic	ADJ
fuelectenerg-13528	2	35	and	and	CCONJ
fuelectenerg-13528	2	36	fuzzy	fuzzy	ADJ
fuelectenerg-13528	2	37	logic	logic	NOUN
fuelectenerg-13528	2	38	-	-	PUNCT
fuelectenerg-13528	2	39	based	base	VERB
fuelectenerg-13528	2	40	approach	approach	NOUN
fuelectenerg-13528	2	41	geeti	geeti	PROPN
fuelectenerg-13528	2	42	gayatri	gayatri	PROPN
fuelectenerg-13528	2	43	lenka1	lenka1	PROPN
fuelectenerg-13528	2	44	,	,	PUNCT
fuelectenerg-13528	2	45	pranati	pranati	PROPN
fuelectenerg-13528	2	46	mishra1	mishra1	PROPN
fuelectenerg-13528	2	47	,	,	PUNCT
fuelectenerg-13528	2	48	jyotirmayee	jyotirmayee	PROPN
fuelectenerg-13528	2	49	routray1	routray1	PROPN
fuelectenerg-13528	2	50	,	,	PUNCT
fuelectenerg-13528	2	51	meenakshi	meenakshi	PROPN
fuelectenerg-13528	2	52	kandpal1	kandpal1	PROPN
fuelectenerg-13528	2	53	,	,	PUNCT
fuelectenerg-13528	2	54	ranjan	ranjan	PROPN
fuelectenerg-13528	2	55	kumar	kumar	PROPN
fuelectenerg-13528	2	56	dash1	dash1	PROPN
fuelectenerg-13528	2	57	,	,	PUNCT
fuelectenerg-13528	2	58	debadutta	debadutta	ADJ
fuelectenerg-13528	2	59	mishra2	mishra2	NOUN
fuelectenerg-13528	2	60	1school	1school	NUM
fuelectenerg-13528	2	61	of	of	ADP
fuelectenerg-13528	2	62	computer	computer	NOUN
fuelectenerg-13528	2	63	sciences	sciences	PROPN
fuelectenerg-13528	2	64	,	,	PUNCT
fuelectenerg-13528	2	65	odisha	odisha	PROPN
fuelectenerg-13528	2	66	university	university	PROPN
fuelectenerg-13528	2	67	of	of	ADP
fuelectenerg-13528	2	68	technology	technology	NOUN
fuelectenerg-13528	2	69	and	and	CCONJ
fuelectenerg-13528	2	70	research	research	NOUN
fuelectenerg-13528	2	71	,	,	PUNCT
fuelectenerg-13528	2	72	bhubaneswar	bhubaneswar	NOUN
fuelectenerg-13528	2	73	,	,	PUNCT
fuelectenerg-13528	2	74	odisha	odisha	PROPN
fuelectenerg-13528	2	75	,	,	PUNCT
fuelectenerg-13528	2	76	india	india	PROPN
fuelectenerg-13528	2	77	2department	2department	PROPN
fuelectenerg-13528	2	78	of	of	ADP
fuelectenerg-13528	2	79	production	production	NOUN
fuelectenerg-13528	2	80	engineering	engineering	NOUN
fuelectenerg-13528	2	81	,	,	PUNCT
fuelectenerg-13528	2	82	veer	veer	PROPN
fuelectenerg-13528	2	83	surendra	surendra	PROPN
fuelectenerg-13528	2	84	sai	sai	PROPN
fuelectenerg-13528	2	85	university	university	PROPN
fuelectenerg-13528	2	86	of	of	ADP
fuelectenerg-13528	2	87	technology	technology	NOUN
fuelectenerg-13528	2	88	,	,	PUNCT
fuelectenerg-13528	2	89	burla	burla	PROPN
fuelectenerg-13528	2	90	,	,	PUNCT
fuelectenerg-13528	2	91	odisha	odisha	PROPN
fuelectenerg-13528	2	92	,	,	PUNCT
fuelectenerg-13528	2	93	india	india	PROPN
fuelectenerg-13528	2	94	orcid	orcid	PROPN
fuelectenerg-13528	2	95	ids	ids	PROPN
fuelectenerg-13528	2	96	:	:	PUNCT
fuelectenerg-13528	2	97	geeti	geeti	PROPN
fuelectenerg-13528	2	98	gayatri	gayatri	PROPN
fuelectenerg-13528	2	99	lenka	lenka	PROPN
fuelectenerg-13528	2	100	https://orcid.org/0009-0005-5516-316x	https://orcid.org/0009-0005-5516-316x	PROPN
fuelectenerg-13528	2	101	pranati	pranati	PROPN
fuelectenerg-13528	2	102	mishra	mishra	PROPN
fuelectenerg-13528	2	103	https://orcid.org/0000-0001-7698-1149	https://orcid.org/0000-0001-7698-1149	PROPN
fuelectenerg-13528	2	104	jyotirmayee	jyotirmayee	PROPN
fuelectenerg-13528	2	105	routray	routray	VERB
fuelectenerg-13528	2	106	https://orcid.org/0000-0003-2747-3919	https://orcid.org/0000-0003-2747-3919	PROPN
fuelectenerg-13528	2	107	meenakshi	meenakshi	PROPN
fuelectenerg-13528	2	108	kandpal	kandpal	PROPN
fuelectenerg-13528	2	109	https://orcid.org/0000-0002-8974-0229	https://orcid.org/0000-0002-8974-0229	PROPN
fuelectenerg-13528	2	110	ranjan	ranjan	PROPN
fuelectenerg-13528	2	111	kumar	kumar	PROPN
fuelectenerg-13528	2	112	dash	dash	NOUN
fuelectenerg-13528	2	113	https://orcid.org/0000-0003-3482-465x	https://orcid.org/0000-0003-3482-465x	PROPN
fuelectenerg-13528	2	114	debadutta	debadutta	PROPN
fuelectenerg-13528	2	115	mishra	mishra	PROPN
fuelectenerg-13528	2	116	https://orcid.org/0000-0002-7215-504x	https://orcid.org/0000-0002-7215-504x	PROPN
fuelectenerg-13528	2	117	abstract	abstract	NOUN
fuelectenerg-13528	2	118	.	.	PUNCT
fuelectenerg-13528	3	1	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	3	2	disease	disease	NOUN
fuelectenerg-13528	3	3	(	(	PUNCT
fuelectenerg-13528	3	4	cvd	cvd	PROPN
fuelectenerg-13528	3	5	)	)	PUNCT
fuelectenerg-13528	3	6	is	be	AUX
fuelectenerg-13528	3	7	one	one	NUM
fuelectenerg-13528	3	8	of	of	ADP
fuelectenerg-13528	3	9	the	the	DET
fuelectenerg-13528	3	10	most	most	ADV
fuelectenerg-13528	3	11	common	common	ADJ
fuelectenerg-13528	3	12	and	and	CCONJ
fuelectenerg-13528	3	13	major	major	ADJ
fuelectenerg-13528	3	14	global	global	ADJ
fuelectenerg-13528	3	15	health	health	NOUN
fuelectenerg-13528	3	16	challenges	challenge	NOUN
fuelectenerg-13528	3	17	,	,	PUNCT
fuelectenerg-13528	3	18	which	which	PRON
fuelectenerg-13528	3	19	requires	require	VERB
fuelectenerg-13528	3	20	improved	improved	ADJ
fuelectenerg-13528	3	21	methods	method	NOUN
fuelectenerg-13528	3	22	for	for	ADP
fuelectenerg-13528	3	23	early	early	ADJ
fuelectenerg-13528	3	24	and	and	CCONJ
fuelectenerg-13528	3	25	precise	precise	ADJ
fuelectenerg-13528	3	26	detection	detection	NOUN
fuelectenerg-13528	3	27	and	and	CCONJ
fuelectenerg-13528	3	28	intervention	intervention	NOUN
fuelectenerg-13528	3	29	.	.	PUNCT
fuelectenerg-13528	4	1	so	so	ADV
fuelectenerg-13528	4	2	,	,	PUNCT
fuelectenerg-13528	4	3	to	to	PART
fuelectenerg-13528	4	4	recognize	recognize	VERB
fuelectenerg-13528	4	5	these	these	DET
fuelectenerg-13528	4	6	heart	heart	NOUN
fuelectenerg-13528	4	7	problems	problem	NOUN
fuelectenerg-13528	4	8	and	and	CCONJ
fuelectenerg-13528	4	9	avoid	avoid	VERB
fuelectenerg-13528	4	10	sudden	sudden	ADJ
fuelectenerg-13528	4	11	cardiac	cardiac	ADJ
fuelectenerg-13528	4	12	arrest	arrest	NOUN
fuelectenerg-13528	4	13	,	,	PUNCT
fuelectenerg-13528	4	14	it	it	PRON
fuelectenerg-13528	4	15	is	be	AUX
fuelectenerg-13528	4	16	essential	essential	ADJ
fuelectenerg-13528	4	17	to	to	PART
fuelectenerg-13528	4	18	detect	detect	VERB
fuelectenerg-13528	4	19	abnormal	abnormal	ADJ
fuelectenerg-13528	4	20	heart	heart	NOUN
fuelectenerg-13528	4	21	conditions	condition	NOUN
fuelectenerg-13528	4	22	early	early	ADV
fuelectenerg-13528	4	23	.	.	PUNCT
fuelectenerg-13528	5	1	machine	machine	NOUN
fuelectenerg-13528	5	2	learning	learning	NOUN
fuelectenerg-13528	5	3	(	(	PUNCT
fuelectenerg-13528	5	4	ml	ml	NOUN
fuelectenerg-13528	5	5	)	)	PUNCT
fuelectenerg-13528	5	6	based	base	VERB
fuelectenerg-13528	5	7	medical	medical	ADJ
fuelectenerg-13528	5	8	treatments	treatment	NOUN
fuelectenerg-13528	5	9	are	be	AUX
fuelectenerg-13528	5	10	being	be	AUX
fuelectenerg-13528	5	11	implemented	implement	VERB
fuelectenerg-13528	5	12	that	that	PRON
fuelectenerg-13528	5	13	are	be	AUX
fuelectenerg-13528	5	14	very	very	ADV
fuelectenerg-13528	5	15	helpful	helpful	ADJ
fuelectenerg-13528	5	16	in	in	ADP
fuelectenerg-13528	5	17	quickly	quickly	ADV
fuelectenerg-13528	5	18	and	and	CCONJ
fuelectenerg-13528	5	19	effectively	effectively	ADV
fuelectenerg-13528	5	20	diagnosing	diagnose	VERB
fuelectenerg-13528	5	21	cvd	cvd	PROPN
fuelectenerg-13528	5	22	problems	problem	NOUN
fuelectenerg-13528	5	23	.	.	PUNCT
fuelectenerg-13528	6	1	one	one	NUM
fuelectenerg-13528	6	2	method	method	NOUN
fuelectenerg-13528	6	3	that	that	PRON
fuelectenerg-13528	6	4	can	can	AUX
fuelectenerg-13528	6	5	offer	offer	VERB
fuelectenerg-13528	6	6	practical	practical	ADJ
fuelectenerg-13528	6	7	answers	answer	NOUN
fuelectenerg-13528	6	8	to	to	ADP
fuelectenerg-13528	6	9	these	these	DET
fuelectenerg-13528	6	10	kinds	kind	NOUN
fuelectenerg-13528	6	11	of	of	ADP
fuelectenerg-13528	6	12	problems	problem	NOUN
fuelectenerg-13528	6	13	is	be	AUX
fuelectenerg-13528	6	14	a	a	DET
fuelectenerg-13528	6	15	meta	meta	ADJ
fuelectenerg-13528	6	16	-	-	PUNCT
fuelectenerg-13528	6	17	heuristic	heuristic	ADJ
fuelectenerg-13528	6	18	approach	approach	NOUN
fuelectenerg-13528	6	19	.	.	PUNCT
fuelectenerg-13528	7	1	owing	owe	VERB
fuelectenerg-13528	7	2	to	to	ADP
fuelectenerg-13528	7	3	its	its	PRON
fuelectenerg-13528	7	4	effectiveness	effectiveness	NOUN
fuelectenerg-13528	7	5	,	,	PUNCT
fuelectenerg-13528	7	6	metaheuristic	metaheuristic	ADJ
fuelectenerg-13528	7	7	approaches	approach	NOUN
fuelectenerg-13528	7	8	are	be	AUX
fuelectenerg-13528	7	9	presently	presently	ADV
fuelectenerg-13528	7	10	used	use	VERB
fuelectenerg-13528	7	11	with	with	ADP
fuelectenerg-13528	7	12	medical	medical	ADJ
fuelectenerg-13528	7	13	data	datum	NOUN
fuelectenerg-13528	7	14	to	to	PART
fuelectenerg-13528	7	15	diagnose	diagnose	VERB
fuelectenerg-13528	7	16	conditions	condition	NOUN
fuelectenerg-13528	7	17	more	more	ADV
fuelectenerg-13528	7	18	practically	practically	ADV
fuelectenerg-13528	7	19	and	and	CCONJ
fuelectenerg-13528	7	20	successfully	successfully	ADV
fuelectenerg-13528	7	21	than	than	ADP
fuelectenerg-13528	7	22	the	the	DET
fuelectenerg-13528	7	23	traditional	traditional	ADJ
fuelectenerg-13528	7	24	ml	ml	NOUN
fuelectenerg-13528	7	25	methods	method	NOUN
fuelectenerg-13528	7	26	.	.	PUNCT
fuelectenerg-13528	8	1	in	in	ADP
fuelectenerg-13528	8	2	this	this	DET
fuelectenerg-13528	8	3	study	study	NOUN
fuelectenerg-13528	8	4	,	,	PUNCT
fuelectenerg-13528	8	5	we	we	PRON
fuelectenerg-13528	8	6	used	use	VERB
fuelectenerg-13528	8	7	three	three	NUM
fuelectenerg-13528	8	8	different	different	ADJ
fuelectenerg-13528	8	9	meta	meta	ADJ
fuelectenerg-13528	8	10	-	-	PUNCT
fuelectenerg-13528	8	11	heuristic	heuristic	ADJ
fuelectenerg-13528	8	12	algorithms	algorithm	NOUN
fuelectenerg-13528	8	13	which	which	PRON
fuelectenerg-13528	8	14	are	be	AUX
fuelectenerg-13528	8	15	genetic	genetic	ADJ
fuelectenerg-13528	8	16	algorithm	algorithm	NOUN
fuelectenerg-13528	8	17	(	(	PUNCT
fuelectenerg-13528	8	18	ga	ga	PROPN
fuelectenerg-13528	8	19	)	)	PUNCT
fuelectenerg-13528	8	20	,	,	PUNCT
fuelectenerg-13528	8	21	cuckoo	cuckoo	NOUN
fuelectenerg-13528	8	22	search	search	NOUN
fuelectenerg-13528	8	23	algorithm	algorithm	NOUN
fuelectenerg-13528	8	24	(	(	PUNCT
fuelectenerg-13528	8	25	csa	csa	PROPN
fuelectenerg-13528	8	26	)	)	PUNCT
fuelectenerg-13528	8	27	and	and	CCONJ
fuelectenerg-13528	8	28	particle	particle	NOUN
fuelectenerg-13528	8	29	swarm	swarm	NOUN
fuelectenerg-13528	8	30	optimization	optimization	NOUN
fuelectenerg-13528	8	31	(	(	PUNCT
fuelectenerg-13528	8	32	pso	pso	NOUN
fuelectenerg-13528	8	33	)	)	PUNCT
fuelectenerg-13528	8	34	for	for	ADP
fuelectenerg-13528	8	35	diagnosis	diagnosis	NOUN
fuelectenerg-13528	8	36	of	of	ADP
fuelectenerg-13528	8	37	the	the	DET
fuelectenerg-13528	8	38	cvd	cvd	PROPN
fuelectenerg-13528	8	39	diseases	disease	NOUN
fuelectenerg-13528	8	40	using	use	VERB
fuelectenerg-13528	8	41	two	two	NUM
fuelectenerg-13528	8	42	different	different	ADJ
fuelectenerg-13528	8	43	datasets	dataset	NOUN
fuelectenerg-13528	8	44	–	–	PUNCT
fuelectenerg-13528	8	45	cvd	cvd	PROPN
fuelectenerg-13528	8	46	and	and	CCONJ
fuelectenerg-13528	8	47	framingham	framingham	PROPN
fuelectenerg-13528	8	48	.	.	PUNCT
fuelectenerg-13528	9	1	finally	finally	ADV
fuelectenerg-13528	9	2	,	,	PUNCT
fuelectenerg-13528	9	3	various	various	ADJ
fuelectenerg-13528	9	4	ml	ml	NOUN
fuelectenerg-13528	9	5	classifiers	classifier	NOUN
fuelectenerg-13528	9	6	were	be	AUX
fuelectenerg-13528	9	7	applied	apply	VERB
fuelectenerg-13528	9	8	on	on	ADP
fuelectenerg-13528	9	9	the	the	DET
fuelectenerg-13528	9	10	best	well	ADV
fuelectenerg-13528	9	11	selected	select	VERB
fuelectenerg-13528	9	12	features	feature	NOUN
fuelectenerg-13528	9	13	for	for	ADP
fuelectenerg-13528	9	14	both	both	CCONJ
fuelectenerg-13528	9	15	the	the	DET
fuelectenerg-13528	9	16	datasets	dataset	NOUN
fuelectenerg-13528	9	17	,	,	PUNCT
fuelectenerg-13528	9	18	obtained	obtain	VERB
fuelectenerg-13528	9	19	from	from	ADP
fuelectenerg-13528	9	20	the	the	DET
fuelectenerg-13528	9	21	meta	meta	ADJ
fuelectenerg-13528	9	22	-	-	PUNCT
fuelectenerg-13528	9	23	heuristic	heuristic	ADJ
fuelectenerg-13528	9	24	algorithms	algorithm	NOUN
fuelectenerg-13528	9	25	for	for	ADP
fuelectenerg-13528	9	26	finding	find	VERB
fuelectenerg-13528	9	27	efficiency	efficiency	NOUN
fuelectenerg-13528	9	28	and	and	CCONJ
fuelectenerg-13528	9	29	comparing	compare	VERB
fuelectenerg-13528	9	30	the	the	DET
fuelectenerg-13528	9	31	results	result	NOUN
fuelectenerg-13528	9	32	.	.	PUNCT
fuelectenerg-13528	10	1	the	the	DET
fuelectenerg-13528	10	2	results	result	NOUN
fuelectenerg-13528	10	3	demonstrate	demonstrate	VERB
fuelectenerg-13528	10	4	that	that	SCONJ
fuelectenerg-13528	10	5	framingham	framingham	PROPN
fuelectenerg-13528	10	6	dataset	dataset	PROPN
fuelectenerg-13528	10	7	gives	give	VERB
fuelectenerg-13528	10	8	best	good	ADJ
fuelectenerg-13528	10	9	accuracy	accuracy	NOUN
fuelectenerg-13528	10	10	of	of	ADP
fuelectenerg-13528	10	11	98.47	98.47	NUM
fuelectenerg-13528	10	12	%	%	NOUN
fuelectenerg-13528	10	13	by	by	ADP
fuelectenerg-13528	10	14	using	use	VERB
fuelectenerg-13528	10	15	csa	csa	PROPN
fuelectenerg-13528	10	16	algorithm	algorithm	NOUN
fuelectenerg-13528	10	17	for	for	ADP
fuelectenerg-13528	10	18	feature	feature	NOUN
fuelectenerg-13528	10	19	selection	selection	NOUN
fuelectenerg-13528	10	20	and	and	CCONJ
fuelectenerg-13528	10	21	random	random	ADJ
fuelectenerg-13528	10	22	forest	forest	NOUN
fuelectenerg-13528	10	23	as	as	ADP
fuelectenerg-13528	10	24	classifier	classifier	NOUN
fuelectenerg-13528	10	25	whereas	whereas	SCONJ
fuelectenerg-13528	10	26	for	for	SCONJ
fuelectenerg-13528	10	27	the	the	DET
fuelectenerg-13528	10	28	cvd	cvd	PROPN
fuelectenerg-13528	10	29	dataset	dataset	PROPN
fuelectenerg-13528	10	30	gives	give	VERB
fuelectenerg-13528	10	31	best	good	ADJ
fuelectenerg-13528	10	32	accuracy	accuracy	NOUN
fuelectenerg-13528	10	33	of	of	ADP
fuelectenerg-13528	10	34	94.12	94.12	NUM
fuelectenerg-13528	10	35	%	%	NOUN
fuelectenerg-13528	10	36	by	by	ADP
fuelectenerg-13528	10	37	using	use	VERB
fuelectenerg-13528	10	38	pso	pso	NOUN
fuelectenerg-13528	10	39	algorithm	algorithm	NOUN
fuelectenerg-13528	10	40	and	and	CCONJ
fuelectenerg-13528	10	41	random	random	ADJ
fuelectenerg-13528	10	42	forest	forest	NOUN
fuelectenerg-13528	10	43	as	as	ADP
fuelectenerg-13528	10	44	classifier	classifier	NOUN
fuelectenerg-13528	10	45	.	.	PUNCT
fuelectenerg-13528	11	1	then	then	ADV
fuelectenerg-13528	11	2	,	,	PUNCT
fuelectenerg-13528	11	3	the	the	DET
fuelectenerg-13528	11	4	best	well	ADV
fuelectenerg-13528	11	5	performing	perform	VERB
fuelectenerg-13528	11	6	model	model	NOUN
fuelectenerg-13528	11	7	is	be	AUX
fuelectenerg-13528	11	8	passed	pass	VERB
fuelectenerg-13528	11	9	through	through	ADP
fuelectenerg-13528	11	10	some	some	DET
fuelectenerg-13528	11	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	11	12	logic	logic	NOUN
fuelectenerg-13528	11	13	rules	rule	NOUN
fuelectenerg-13528	11	14	to	to	PART
fuelectenerg-13528	11	15	improve	improve	VERB
fuelectenerg-13528	11	16	the	the	DET
fuelectenerg-13528	11	17	model	model	NOUN
fuelectenerg-13528	11	18	accuracy	accuracy	NOUN
fuelectenerg-13528	11	19	and	and	CCONJ
fuelectenerg-13528	11	20	gives	give	VERB
fuelectenerg-13528	11	21	better	well	ADJ
fuelectenerg-13528	11	22	prediction	prediction	NOUN
fuelectenerg-13528	11	23	for	for	ADP
fuelectenerg-13528	11	24	cvd	cvd	PROPN
fuelectenerg-13528	11	25	prediction	prediction	PROPN
fuelectenerg-13528	11	26	.	.	PUNCT
fuelectenerg-13528	12	1	key	key	ADJ
fuelectenerg-13528	12	2	words	word	NOUN
fuelectenerg-13528	12	3	:	:	PUNCT
fuelectenerg-13528	12	4	cvd	cvd	PROPN
fuelectenerg-13528	12	5	,	,	PUNCT
fuelectenerg-13528	12	6	meta	meta	ADJ
fuelectenerg-13528	12	7	-	-	PUNCT
fuelectenerg-13528	12	8	heuristic	heuristic	ADJ
fuelectenerg-13528	12	9	algorithm	algorithm	NOUN
fuelectenerg-13528	12	10	,	,	PUNCT
fuelectenerg-13528	12	11	optimization	optimization	NOUN
fuelectenerg-13528	12	12	,	,	PUNCT
fuelectenerg-13528	12	13	feature	feature	NOUN
fuelectenerg-13528	12	14	selection	selection	NOUN
fuelectenerg-13528	12	15	,	,	PUNCT
fuelectenerg-13528	12	16	classifiers	classifier	NOUN
fuelectenerg-13528	12	17	,	,	PUNCT
fuelectenerg-13528	12	18	fuzzy	fuzzy	ADJ
fuelectenerg-13528	12	19	logic	logic	NOUN
fuelectenerg-13528	12	20	received	receive	VERB
fuelectenerg-13528	12	21	march	march	PROPN
fuelectenerg-13528	12	22	06	06	NUM
fuelectenerg-13528	12	23	,	,	PUNCT
fuelectenerg-13528	12	24	2025	2025	NUM
fuelectenerg-13528	12	25	;	;	PUNCT
fuelectenerg-13528	12	26	revised	revise	VERB
fuelectenerg-13528	12	27	april	april	PROPN
fuelectenerg-13528	12	28	27	27	NUM
fuelectenerg-13528	12	29	,	,	PUNCT
fuelectenerg-13528	12	30	2025	2025	NUM
fuelectenerg-13528	12	31	and	and	CCONJ
fuelectenerg-13528	12	32	may	may	PROPN
fuelectenerg-13528	12	33	14	14	NUM
fuelectenerg-13528	12	34	,	,	PUNCT
fuelectenerg-13528	12	35	2025	2025	NUM
fuelectenerg-13528	12	36	;	;	PUNCT
fuelectenerg-13528	12	37	accepted	accept	VERB
fuelectenerg-13528	12	38	may	may	PROPN
fuelectenerg-13528	12	39	15	15	NUM
fuelectenerg-13528	12	40	,	,	PUNCT
fuelectenerg-13528	12	41	2025	2025	NUM
fuelectenerg-13528	12	42	corresponding	correspond	VERB
fuelectenerg-13528	12	43	author	author	NOUN
fuelectenerg-13528	12	44	:	:	PUNCT
fuelectenerg-13528	12	45	pranati	pranati	PROPN
fuelectenerg-13528	12	46	mishra	mishra	PROPN
fuelectenerg-13528	12	47	school	school	PROPN
fuelectenerg-13528	12	48	of	of	ADP
fuelectenerg-13528	12	49	computer	computer	NOUN
fuelectenerg-13528	12	50	sciences	sciences	PROPN
fuelectenerg-13528	12	51	,	,	PUNCT
fuelectenerg-13528	12	52	odisha	odisha	PROPN
fuelectenerg-13528	12	53	university	university	PROPN
fuelectenerg-13528	12	54	of	of	ADP
fuelectenerg-13528	12	55	technology	technology	NOUN
fuelectenerg-13528	12	56	and	and	CCONJ
fuelectenerg-13528	12	57	research	research	NOUN
fuelectenerg-13528	12	58	,	,	PUNCT
fuelectenerg-13528	12	59	bhubaneswar	bhubaneswar	NOUN
fuelectenerg-13528	12	60	,	,	PUNCT
fuelectenerg-13528	12	61	odisha	odisha	PROPN
fuelectenerg-13528	12	62	,	,	PUNCT
fuelectenerg-13528	12	63	india	india	PROPN
fuelectenerg-13528	12	64	e	e	PROPN
fuelectenerg-13528	12	65	-	-	NOUN
fuelectenerg-13528	12	66	mail	mail	NOUN
fuelectenerg-13528	12	67	:	:	PUNCT
fuelectenerg-13528	12	68	pranatimishracse@outr.ac.in	pranatimishracse@outr.ac.in	VERB
fuelectenerg-13528	12	69	https://orcid.org/xxxx-xxxx-xxxx-xxxx	https://orcid.org/xxxx-xxxx-xxxx-xxxx	PROPN
fuelectenerg-13528	12	70	56	56	NUM
fuelectenerg-13528	12	71	g.	g.	PROPN
fuelectenerg-13528	12	72	gayatri	gayatri	PROPN
fuelectenerg-13528	12	73	lenka	lenka	PROPN
fuelectenerg-13528	12	74	,	,	PUNCT
fuelectenerg-13528	12	75	p.	p.	PROPN
fuelectenerg-13528	12	76	mishra	mishra	PROPN
fuelectenerg-13528	12	77	,	,	PUNCT
fuelectenerg-13528	12	78	j.	j.	PROPN
fuelectenerg-13528	12	79	routray	routray	PROPN
fuelectenerg-13528	12	80	,	,	PUNCT
fuelectenerg-13528	12	81	m.	m.	NOUN
fuelectenerg-13528	12	82	kandpal	kandpal	PROPN
fuelectenerg-13528	12	83	,	,	PUNCT
fuelectenerg-13528	12	84	r.	r.	PROPN
fuelectenerg-13528	12	85	kumar	kumar	PROPN
fuelectenerg-13528	12	86	dash	dash	PROPN
fuelectenerg-13528	12	87	,	,	PUNCT
fuelectenerg-13528	12	88	d.	d.	PROPN
fuelectenerg-13528	12	89	mishra	mishra	PROPN
fuelectenerg-13528	12	90	1	1	PROPN
fuelectenerg-13528	12	91	.	.	PUNCT
fuelectenerg-13528	13	1	introduction	introduction	NOUN
fuelectenerg-13528	13	2	heart	heart	NOUN
fuelectenerg-13528	13	3	disease	disease	NOUN
fuelectenerg-13528	13	4	has	have	AUX
fuelectenerg-13528	13	5	received	receive	VERB
fuelectenerg-13528	13	6	a	a	DET
fuelectenerg-13528	13	7	lot	lot	NOUN
fuelectenerg-13528	13	8	of	of	ADP
fuelectenerg-13528	13	9	interest	interest	NOUN
fuelectenerg-13528	13	10	in	in	ADP
fuelectenerg-13528	13	11	medical	medical	ADJ
fuelectenerg-13528	13	12	research	research	NOUN
fuelectenerg-13528	13	13	because	because	SCONJ
fuelectenerg-13528	13	14	it	it	PRON
fuelectenerg-13528	13	15	is	be	AUX
fuelectenerg-13528	13	16	one	one	NUM
fuelectenerg-13528	13	17	of	of	ADP
fuelectenerg-13528	13	18	the	the	DET
fuelectenerg-13528	13	19	fatal	fatal	ADJ
fuelectenerg-13528	13	20	conditions	condition	NOUN
fuelectenerg-13528	13	21	that	that	PRON
fuelectenerg-13528	13	22	people	people	NOUN
fuelectenerg-13528	13	23	around	around	ADP
fuelectenerg-13528	13	24	the	the	DET
fuelectenerg-13528	13	25	world	world	NOUN
fuelectenerg-13528	13	26	have	have	AUX
fuelectenerg-13528	13	27	had	have	VERB
fuelectenerg-13528	13	28	to	to	PART
fuelectenerg-13528	13	29	deal	deal	VERB
fuelectenerg-13528	13	30	with	with	ADP
fuelectenerg-13528	13	31	over	over	ADP
fuelectenerg-13528	13	32	time	time	NOUN
fuelectenerg-13528	13	33	.	.	PUNCT
fuelectenerg-13528	14	1	it	it	PRON
fuelectenerg-13528	14	2	is	be	AUX
fuelectenerg-13528	14	3	one	one	NUM
fuelectenerg-13528	14	4	of	of	ADP
fuelectenerg-13528	14	5	the	the	DET
fuelectenerg-13528	14	6	obvious	obvious	ADJ
fuelectenerg-13528	14	7	illnesses	illness	NOUN
fuelectenerg-13528	14	8	that	that	PRON
fuelectenerg-13528	14	9	affects	affect	VERB
fuelectenerg-13528	14	10	a	a	DET
fuelectenerg-13528	14	11	lot	lot	NOUN
fuelectenerg-13528	14	12	of	of	ADP
fuelectenerg-13528	14	13	individuals	individual	NOUN
fuelectenerg-13528	14	14	in	in	ADP
fuelectenerg-13528	14	15	their	their	PRON
fuelectenerg-13528	14	16	mid	mid	ADJ
fuelectenerg-13528	14	17	or	or	CCONJ
fuelectenerg-13528	14	18	elderly	elderly	ADJ
fuelectenerg-13528	14	19	years	year	NOUN
fuelectenerg-13528	14	20	,	,	PUNCT
fuelectenerg-13528	14	21	and	and	CCONJ
fuelectenerg-13528	14	22	in	in	ADP
fuelectenerg-13528	14	23	some	some	DET
fuelectenerg-13528	14	24	situations	situation	NOUN
fuelectenerg-13528	14	25	,	,	PUNCT
fuelectenerg-13528	14	26	it	it	PRON
fuelectenerg-13528	14	27	finally	finally	ADV
fuelectenerg-13528	14	28	leads	lead	VERB
fuelectenerg-13528	14	29	to	to	ADP
fuelectenerg-13528	14	30	fatal	fatal	ADJ
fuelectenerg-13528	14	31	complications	complication	NOUN
fuelectenerg-13528	14	32	.	.	PUNCT
fuelectenerg-13528	15	1	heart	heart	NOUN
fuelectenerg-13528	15	2	illness	illness	NOUN
fuelectenerg-13528	15	3	is	be	AUX
fuelectenerg-13528	15	4	more	more	ADV
fuelectenerg-13528	15	5	common	common	ADJ
fuelectenerg-13528	15	6	in	in	ADP
fuelectenerg-13528	15	7	men	man	NOUN
fuelectenerg-13528	15	8	than	than	ADP
fuelectenerg-13528	15	9	in	in	ADP
fuelectenerg-13528	15	10	women	woman	NOUN
fuelectenerg-13528	15	11	.	.	PUNCT
fuelectenerg-13528	16	1	globally	globally	ADV
fuelectenerg-13528	16	2	,	,	PUNCT
fuelectenerg-13528	16	3	cvd	cvd	PROPN
fuelectenerg-13528	16	4	is	be	AUX
fuelectenerg-13528	16	5	the	the	DET
fuelectenerg-13528	16	6	primary	primary	ADJ
fuelectenerg-13528	16	7	reason	reason	NOUN
fuelectenerg-13528	16	8	for	for	ADP
fuelectenerg-13528	16	9	demise	demise	NOUN
fuelectenerg-13528	16	10	[	[	X
fuelectenerg-13528	16	11	1	1	NUM
fuelectenerg-13528	16	12	]	]	PUNCT
fuelectenerg-13528	16	13	.	.	PUNCT
fuelectenerg-13528	17	1	the	the	DET
fuelectenerg-13528	17	2	two	two	NUM
fuelectenerg-13528	17	3	forms	form	NOUN
fuelectenerg-13528	17	4	of	of	ADP
fuelectenerg-13528	17	5	heart	heart	NOUN
fuelectenerg-13528	17	6	disease	disease	NOUN
fuelectenerg-13528	17	7	that	that	PRON
fuelectenerg-13528	17	8	are	be	AUX
fuelectenerg-13528	17	9	most	most	ADV
fuelectenerg-13528	17	10	common	common	ADJ
fuelectenerg-13528	17	11	are	be	AUX
fuelectenerg-13528	17	12	coronary	coronary	ADJ
fuelectenerg-13528	17	13	heart	heart	NOUN
fuelectenerg-13528	17	14	disease	disease	NOUN
fuelectenerg-13528	17	15	and	and	CCONJ
fuelectenerg-13528	17	16	cvd	cvd	PROPN
fuelectenerg-13528	17	17	,	,	PUNCT
fuelectenerg-13528	17	18	which	which	PRON
fuelectenerg-13528	17	19	are	be	AUX
fuelectenerg-13528	17	20	developed	develop	VERB
fuelectenerg-13528	17	21	when	when	SCONJ
fuelectenerg-13528	17	22	plaque	plaque	ADJ
fuelectenerg-13528	17	23	accumulation	accumulation	NOUN
fuelectenerg-13528	17	24	impairs	impair	VERB
fuelectenerg-13528	17	25	blood	blood	NOUN
fuelectenerg-13528	17	26	flow	flow	NOUN
fuelectenerg-13528	17	27	inside	inside	ADP
fuelectenerg-13528	17	28	the	the	DET
fuelectenerg-13528	17	29	arteries	artery	NOUN
fuelectenerg-13528	17	30	that	that	PRON
fuelectenerg-13528	17	31	supply	supply	VERB
fuelectenerg-13528	17	32	the	the	DET
fuelectenerg-13528	17	33	heart	heart	NOUN
fuelectenerg-13528	17	34	with	with	ADP
fuelectenerg-13528	17	35	blood	blood	NOUN
fuelectenerg-13528	17	36	.	.	PUNCT
fuelectenerg-13528	18	1	according	accord	VERB
fuelectenerg-13528	18	2	to	to	ADP
fuelectenerg-13528	18	3	a	a	DET
fuelectenerg-13528	18	4	2019	2019	NUM
fuelectenerg-13528	18	5	report	report	NOUN
fuelectenerg-13528	18	6	by	by	ADP
fuelectenerg-13528	18	7	the	the	DET
fuelectenerg-13528	18	8	world	world	PROPN
fuelectenerg-13528	18	9	health	health	PROPN
fuelectenerg-13528	18	10	organization	organization	NOUN
fuelectenerg-13528	18	11	(	(	PUNCT
fuelectenerg-13528	18	12	who	who	PRON
fuelectenerg-13528	18	13	)	)	PUNCT
fuelectenerg-13528	18	14	,	,	PUNCT
fuelectenerg-13528	18	15	around	around	ADV
fuelectenerg-13528	18	16	1.8	1.8	NUM
fuelectenerg-13528	18	17	crore	crore	NOUN
fuelectenerg-13528	18	18	of	of	ADP
fuelectenerg-13528	18	19	the	the	DET
fuelectenerg-13528	18	20	fatalities	fatality	NOUN
fuelectenerg-13528	18	21	worldwide	worldwide	ADV
fuelectenerg-13528	18	22	are	be	AUX
fuelectenerg-13528	18	23	due	due	ADJ
fuelectenerg-13528	18	24	to	to	ADP
fuelectenerg-13528	18	25	illnesses	illness	NOUN
fuelectenerg-13528	18	26	related	relate	VERB
fuelectenerg-13528	18	27	to	to	ADP
fuelectenerg-13528	18	28	cvd	cvd	PROPN
fuelectenerg-13528	18	29	[	[	X
fuelectenerg-13528	18	30	2	2	NUM
fuelectenerg-13528	18	31	]	]	PUNCT
fuelectenerg-13528	18	32	,	,	PUNCT
fuelectenerg-13528	18	33	making	make	VERB
fuelectenerg-13528	18	34	them	they	PRON
fuelectenerg-13528	18	35	the	the	DET
fuelectenerg-13528	18	36	primary	primary	ADJ
fuelectenerg-13528	18	37	cause	cause	NOUN
fuelectenerg-13528	18	38	of	of	ADP
fuelectenerg-13528	18	39	mortality	mortality	NOUN
fuelectenerg-13528	18	40	.	.	PUNCT
fuelectenerg-13528	19	1	heart	heart	NOUN
fuelectenerg-13528	19	2	disease	disease	NOUN
fuelectenerg-13528	19	3	is	be	AUX
fuelectenerg-13528	19	4	primarily	primarily	ADV
fuelectenerg-13528	19	5	caused	cause	VERB
fuelectenerg-13528	19	6	by	by	ADP
fuelectenerg-13528	19	7	several	several	ADJ
fuelectenerg-13528	19	8	factors	factor	NOUN
fuelectenerg-13528	19	9	,	,	PUNCT
fuelectenerg-13528	19	10	including	include	VERB
fuelectenerg-13528	19	11	elevated	elevated	ADJ
fuelectenerg-13528	19	12	blood	blood	NOUN
fuelectenerg-13528	19	13	pressure	pressure	NOUN
fuelectenerg-13528	19	14	,	,	PUNCT
fuelectenerg-13528	19	15	high	high	ADJ
fuelectenerg-13528	19	16	levels	level	NOUN
fuelectenerg-13528	19	17	of	of	ADP
fuelectenerg-13528	19	18	cholesterol	cholesterol	NOUN
fuelectenerg-13528	19	19	,	,	PUNCT
fuelectenerg-13528	19	20	excessive	excessive	ADJ
fuelectenerg-13528	19	21	triglycerides	triglyceride	NOUN
fuelectenerg-13528	19	22	,	,	PUNCT
fuelectenerg-13528	19	23	and	and	CCONJ
fuelectenerg-13528	19	24	obesity	obesity	NOUN
fuelectenerg-13528	19	25	.	.	PUNCT
fuelectenerg-13528	20	1	given	give	VERB
fuelectenerg-13528	20	2	the	the	DET
fuelectenerg-13528	20	3	rising	rise	VERB
fuelectenerg-13528	20	4	statistics	statistic	NOUN
fuelectenerg-13528	20	5	,	,	PUNCT
fuelectenerg-13528	20	6	it	it	PRON
fuelectenerg-13528	20	7	is	be	AUX
fuelectenerg-13528	20	8	imperative	imperative	ADJ
fuelectenerg-13528	20	9	that	that	SCONJ
fuelectenerg-13528	20	10	this	this	DET
fuelectenerg-13528	20	11	serious	serious	ADJ
fuelectenerg-13528	20	12	sickness	sickness	NOUN
fuelectenerg-13528	20	13	be	be	AUX
fuelectenerg-13528	20	14	detected	detect	VERB
fuelectenerg-13528	20	15	and	and	CCONJ
fuelectenerg-13528	20	16	treated	treat	VERB
fuelectenerg-13528	20	17	promptly	promptly	ADV
fuelectenerg-13528	20	18	to	to	PART
fuelectenerg-13528	20	19	prevent	prevent	VERB
fuelectenerg-13528	20	20	disease	disease	NOUN
fuelectenerg-13528	20	21	and	and	CCONJ
fuelectenerg-13528	20	22	make	make	VERB
fuelectenerg-13528	20	23	efficient	efficient	ADJ
fuelectenerg-13528	20	24	use	use	NOUN
fuelectenerg-13528	20	25	of	of	ADP
fuelectenerg-13528	20	26	medical	medical	ADJ
fuelectenerg-13528	20	27	resources	resource	NOUN
fuelectenerg-13528	20	28	.	.	PUNCT
fuelectenerg-13528	21	1	early	early	ADJ
fuelectenerg-13528	21	2	disease	disease	NOUN
fuelectenerg-13528	21	3	detection	detection	NOUN
fuelectenerg-13528	21	4	can	can	AUX
fuelectenerg-13528	21	5	be	be	AUX
fuelectenerg-13528	21	6	aided	aid	VERB
fuelectenerg-13528	21	7	by	by	ADP
fuelectenerg-13528	21	8	a	a	DET
fuelectenerg-13528	21	9	routine	routine	ADJ
fuelectenerg-13528	21	10	clinical	clinical	ADJ
fuelectenerg-13528	21	11	examination	examination	NOUN
fuelectenerg-13528	21	12	.	.	PUNCT
fuelectenerg-13528	22	1	if	if	SCONJ
fuelectenerg-13528	22	2	detected	detect	VERB
fuelectenerg-13528	22	3	early	early	ADV
fuelectenerg-13528	22	4	enough	enough	ADV
fuelectenerg-13528	22	5	,	,	PUNCT
fuelectenerg-13528	22	6	coronary	coronary	ADJ
fuelectenerg-13528	22	7	disease	disease	NOUN
fuelectenerg-13528	22	8	could	could	AUX
fuelectenerg-13528	22	9	be	be	AUX
fuelectenerg-13528	22	10	adequately	adequately	ADV
fuelectenerg-13528	22	11	managed	manage	VERB
fuelectenerg-13528	22	12	or	or	CCONJ
fuelectenerg-13528	22	13	cured	cure	VERB
fuelectenerg-13528	22	14	,	,	PUNCT
fuelectenerg-13528	22	15	and	and	CCONJ
fuelectenerg-13528	22	16	the	the	DET
fuelectenerg-13528	22	17	disease	disease	NOUN
fuelectenerg-13528	22	18	can	can	AUX
fuelectenerg-13528	22	19	be	be	AUX
fuelectenerg-13528	22	20	essentially	essentially	ADV
fuelectenerg-13528	22	21	treated	treat	VERB
fuelectenerg-13528	22	22	with	with	ADP
fuelectenerg-13528	22	23	the	the	DET
fuelectenerg-13528	22	24	right	right	ADJ
fuelectenerg-13528	22	25	diet	diet	NOUN
fuelectenerg-13528	22	26	,	,	PUNCT
fuelectenerg-13528	22	27	medications	medication	NOUN
fuelectenerg-13528	22	28	,	,	PUNCT
fuelectenerg-13528	22	29	and	and	CCONJ
fuelectenerg-13528	22	30	activities	activity	NOUN
fuelectenerg-13528	22	31	[	[	X
fuelectenerg-13528	22	32	3	3	NUM
fuelectenerg-13528	22	33	]	]	PUNCT
fuelectenerg-13528	22	34	.	.	PUNCT
fuelectenerg-13528	23	1	machine	machine	NOUN
fuelectenerg-13528	23	2	learning	learning	NOUN
fuelectenerg-13528	23	3	prediction	prediction	NOUN
fuelectenerg-13528	23	4	representation	representation	NOUN
fuelectenerg-13528	23	5	offers	offer	VERB
fuelectenerg-13528	23	6	an	an	DET
fuelectenerg-13528	23	7	improved	improved	ADJ
fuelectenerg-13528	23	8	resolution	resolution	NOUN
fuelectenerg-13528	23	9	for	for	ADP
fuelectenerg-13528	23	10	health	health	NOUN
fuelectenerg-13528	23	11	diagnosis	diagnosis	NOUN
fuelectenerg-13528	23	12	of	of	ADP
fuelectenerg-13528	23	13	patients	patient	NOUN
fuelectenerg-13528	23	14	in	in	ADP
fuelectenerg-13528	23	15	the	the	DET
fuelectenerg-13528	23	16	medical	medical	ADJ
fuelectenerg-13528	23	17	field	field	NOUN
fuelectenerg-13528	23	18	.	.	PUNCT
fuelectenerg-13528	24	1	a	a	DET
fuelectenerg-13528	24	2	forecast	forecast	NOUN
fuelectenerg-13528	24	3	that	that	PRON
fuelectenerg-13528	24	4	uses	use	VERB
fuelectenerg-13528	24	5	machine	machine	NOUN
fuelectenerg-13528	24	6	learning	learning	NOUN
fuelectenerg-13528	24	7	approaches	approach	NOUN
fuelectenerg-13528	24	8	has	have	VERB
fuelectenerg-13528	24	9	a	a	DET
fuelectenerg-13528	24	10	high	high	ADJ
fuelectenerg-13528	24	11	degree	degree	NOUN
fuelectenerg-13528	24	12	of	of	ADP
fuelectenerg-13528	24	13	certainty	certainty	NOUN
fuelectenerg-13528	24	14	and	and	CCONJ
fuelectenerg-13528	24	15	reliability	reliability	NOUN
fuelectenerg-13528	24	16	in	in	ADP
fuelectenerg-13528	24	17	detecting	detect	VERB
fuelectenerg-13528	24	18	cvd	cvd	PROPN
fuelectenerg-13528	24	19	.	.	PUNCT
fuelectenerg-13528	25	1	effective	effective	ADJ
fuelectenerg-13528	25	2	identification	identification	NOUN
fuelectenerg-13528	25	3	of	of	ADP
fuelectenerg-13528	25	4	the	the	DET
fuelectenerg-13528	25	5	disease	disease	NOUN
fuelectenerg-13528	25	6	aids	aid	VERB
fuelectenerg-13528	25	7	in	in	ADP
fuelectenerg-13528	25	8	early	early	ADJ
fuelectenerg-13528	25	9	diagnosis	diagnosis	NOUN
fuelectenerg-13528	25	10	,	,	PUNCT
fuelectenerg-13528	25	11	thereby	thereby	ADV
fuelectenerg-13528	25	12	reducing	reduce	VERB
fuelectenerg-13528	25	13	the	the	DET
fuelectenerg-13528	25	14	mortality	mortality	NOUN
fuelectenerg-13528	25	15	rate	rate	NOUN
fuelectenerg-13528	25	16	.	.	PUNCT
fuelectenerg-13528	26	1	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	26	2	diseases	disease	NOUN
fuelectenerg-13528	26	3	,	,	PUNCT
fuelectenerg-13528	26	4	driven	drive	VERB
fuelectenerg-13528	26	5	by	by	ADP
fuelectenerg-13528	26	6	factors	factor	NOUN
fuelectenerg-13528	26	7	like	like	ADP
fuelectenerg-13528	26	8	high	high	ADJ
fuelectenerg-13528	26	9	blood	blood	NOUN
fuelectenerg-13528	26	10	pressure	pressure	NOUN
fuelectenerg-13528	26	11	,	,	PUNCT
fuelectenerg-13528	26	12	genetic	genetic	ADJ
fuelectenerg-13528	26	13	factor	factor	NOUN
fuelectenerg-13528	26	14	,	,	PUNCT
fuelectenerg-13528	26	15	tension	tension	NOUN
fuelectenerg-13528	26	16	,	,	PUNCT
fuelectenerg-13528	26	17	age	age	NOUN
fuelectenerg-13528	26	18	,	,	PUNCT
fuelectenerg-13528	26	19	sex	sex	NOUN
fuelectenerg-13528	26	20	,	,	PUNCT
fuelectenerg-13528	26	21	fat	fat	ADJ
fuelectenerg-13528	26	22	levels	level	NOUN
fuelectenerg-13528	26	23	,	,	PUNCT
fuelectenerg-13528	26	24	bmi	bmi	NOUN
fuelectenerg-13528	26	25	,	,	PUNCT
fuelectenerg-13528	26	26	and	and	CCONJ
fuelectenerg-13528	26	27	unhealthy	unhealthy	ADJ
fuelectenerg-13528	26	28	routines	routine	NOUN
fuelectenerg-13528	26	29	,	,	PUNCT
fuelectenerg-13528	26	30	are	be	AUX
fuelectenerg-13528	26	31	now	now	ADV
fuelectenerg-13528	26	32	common	common	ADJ
fuelectenerg-13528	26	33	and	and	CCONJ
fuelectenerg-13528	26	34	overburdening	overburden	VERB
fuelectenerg-13528	26	35	healthcare	healthcare	NOUN
fuelectenerg-13528	26	36	systems	system	NOUN
fuelectenerg-13528	26	37	,	,	PUNCT
fuelectenerg-13528	26	38	prompting	prompt	VERB
fuelectenerg-13528	26	39	researchers	researcher	NOUN
fuelectenerg-13528	26	40	to	to	PART
fuelectenerg-13528	26	41	propose	propose	VERB
fuelectenerg-13528	26	42	early	early	ADJ
fuelectenerg-13528	26	43	diagnosis	diagnosis	NOUN
fuelectenerg-13528	26	44	approaches	approach	NOUN
fuelectenerg-13528	26	45	[	[	X
fuelectenerg-13528	26	46	4	4	NUM
fuelectenerg-13528	26	47	]	]	PUNCT
fuelectenerg-13528	26	48	.	.	PUNCT
fuelectenerg-13528	27	1	it	it	PRON
fuelectenerg-13528	27	2	is	be	AUX
fuelectenerg-13528	27	3	crucial	crucial	ADJ
fuelectenerg-13528	27	4	that	that	SCONJ
fuelectenerg-13528	27	5	this	this	DET
fuelectenerg-13528	27	6	condition	condition	NOUN
fuelectenerg-13528	27	7	should	should	AUX
fuelectenerg-13528	27	8	be	be	AUX
fuelectenerg-13528	27	9	diagnosed	diagnose	VERB
fuelectenerg-13528	27	10	quickly	quickly	ADV
fuelectenerg-13528	27	11	and	and	CCONJ
fuelectenerg-13528	27	12	properly	properly	ADV
fuelectenerg-13528	27	13	to	to	PART
fuelectenerg-13528	27	14	protect	protect	VERB
fuelectenerg-13528	27	15	patients	patient	NOUN
fuelectenerg-13528	27	16	'	'	PART
fuelectenerg-13528	27	17	health	health	NOUN
fuelectenerg-13528	27	18	and	and	CCONJ
fuelectenerg-13528	27	19	extend	extend	VERB
fuelectenerg-13528	27	20	their	their	PRON
fuelectenerg-13528	27	21	lives	life	NOUN
fuelectenerg-13528	27	22	.	.	PUNCT
fuelectenerg-13528	28	1	because	because	SCONJ
fuelectenerg-13528	28	2	of	of	ADP
fuelectenerg-13528	28	3	their	their	PRON
fuelectenerg-13528	28	4	capacity	capacity	NOUN
fuelectenerg-13528	28	5	to	to	PART
fuelectenerg-13528	28	6	manage	manage	VERB
fuelectenerg-13528	28	7	big	big	ADJ
fuelectenerg-13528	28	8	and	and	CCONJ
fuelectenerg-13528	28	9	complicated	complicated	ADJ
fuelectenerg-13528	28	10	datasets	dataset	NOUN
fuelectenerg-13528	28	11	,	,	PUNCT
fuelectenerg-13528	28	12	which	which	PRON
fuelectenerg-13528	28	13	are	be	AUX
fuelectenerg-13528	28	14	typical	typical	ADJ
fuelectenerg-13528	28	15	in	in	ADP
fuelectenerg-13528	28	16	medical	medical	ADJ
fuelectenerg-13528	28	17	diagnostics	diagnostic	NOUN
fuelectenerg-13528	28	18	,	,	PUNCT
fuelectenerg-13528	28	19	meta	meta	ADJ
fuelectenerg-13528	28	20	-	-	PUNCT
fuelectenerg-13528	28	21	heuristic	heuristic	ADJ
fuelectenerg-13528	28	22	techniques	technique	NOUN
fuelectenerg-13528	28	23	[	[	X
fuelectenerg-13528	28	24	5	5	X
fuelectenerg-13528	28	25	]	]	PUNCT
fuelectenerg-13528	28	26	have	have	AUX
fuelectenerg-13528	28	27	drawn	draw	VERB
fuelectenerg-13528	28	28	a	a	DET
fuelectenerg-13528	28	29	lot	lot	NOUN
fuelectenerg-13528	28	30	of	of	ADP
fuelectenerg-13528	28	31	interest	interest	NOUN
fuelectenerg-13528	28	32	in	in	ADP
fuelectenerg-13528	28	33	the	the	DET
fuelectenerg-13528	28	34	prediction	prediction	NOUN
fuelectenerg-13528	28	35	of	of	ADP
fuelectenerg-13528	28	36	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	28	37	diseases	disease	NOUN
fuelectenerg-13528	28	38	(	(	PUNCT
fuelectenerg-13528	28	39	cvd	cvd	NOUN
fuelectenerg-13528	28	40	)	)	PUNCT
fuelectenerg-13528	28	41	.	.	PUNCT
fuelectenerg-13528	29	1	in	in	ADP
fuelectenerg-13528	29	2	cvd	cvd	PROPN
fuelectenerg-13528	29	3	prediction	prediction	PROPN
fuelectenerg-13528	29	4	,	,	PUNCT
fuelectenerg-13528	29	5	meta	meta	ADJ
fuelectenerg-13528	29	6	-	-	PUNCT
fuelectenerg-13528	29	7	heuristic	heuristic	ADJ
fuelectenerg-13528	29	8	techniques	technique	NOUN
fuelectenerg-13528	30	1	[	[	X
fuelectenerg-13528	30	2	6	6	NUM
fuelectenerg-13528	30	3	]	]	PUNCT
fuelectenerg-13528	30	4	are	be	AUX
fuelectenerg-13528	30	5	essential	essential	ADJ
fuelectenerg-13528	30	6	for	for	ADP
fuelectenerg-13528	30	7	improving	improve	VERB
fuelectenerg-13528	30	8	the	the	DET
fuelectenerg-13528	30	9	performance	performance	NOUN
fuelectenerg-13528	30	10	of	of	ADP
fuelectenerg-13528	30	11	ml	ml	NOUN
fuelectenerg-13528	30	12	systems	system	NOUN
fuelectenerg-13528	30	13	by	by	ADP
fuelectenerg-13528	30	14	refining	refining	NOUN
fuelectenerg-13528	30	15	parameters	parameter	NOUN
fuelectenerg-13528	30	16	,	,	PUNCT
fuelectenerg-13528	30	17	selecting	select	VERB
fuelectenerg-13528	30	18	the	the	DET
fuelectenerg-13528	30	19	most	most	ADV
fuelectenerg-13528	30	20	relevant	relevant	ADJ
fuelectenerg-13528	30	21	features	feature	NOUN
fuelectenerg-13528	30	22	,	,	PUNCT
fuelectenerg-13528	30	23	and	and	CCONJ
fuelectenerg-13528	30	24	addressing	address	VERB
fuelectenerg-13528	30	25	challenges	challenge	NOUN
fuelectenerg-13528	30	26	like	like	ADP
fuelectenerg-13528	30	27	overfitting	overfitte	VERB
fuelectenerg-13528	30	28	.	.	PUNCT
fuelectenerg-13528	31	1	their	their	PRON
fuelectenerg-13528	31	2	adaptability	adaptability	NOUN
fuelectenerg-13528	31	3	and	and	CCONJ
fuelectenerg-13528	31	4	capability	capability	NOUN
fuelectenerg-13528	31	5	to	to	PART
fuelectenerg-13528	31	6	manage	manage	VERB
fuelectenerg-13528	31	7	uncertainty	uncertainty	NOUN
fuelectenerg-13528	31	8	make	make	VERB
fuelectenerg-13528	31	9	them	they	PRON
fuelectenerg-13528	31	10	a	a	DET
fuelectenerg-13528	31	11	promising	promising	ADJ
fuelectenerg-13528	31	12	solution	solution	NOUN
fuelectenerg-13528	31	13	for	for	ADP
fuelectenerg-13528	31	14	improving	improve	VERB
fuelectenerg-13528	31	15	accuracy	accuracy	NOUN
fuelectenerg-13528	31	16	and	and	CCONJ
fuelectenerg-13528	31	17	reliability	reliability	NOUN
fuelectenerg-13528	31	18	in	in	ADP
fuelectenerg-13528	31	19	real	real	ADJ
fuelectenerg-13528	31	20	-	-	PUNCT
fuelectenerg-13528	31	21	world	world	NOUN
fuelectenerg-13528	31	22	healthcare	healthcare	NOUN
fuelectenerg-13528	31	23	applications	application	NOUN
fuelectenerg-13528	31	24	.	.	PUNCT
fuelectenerg-13528	32	1	a	a	DET
fuelectenerg-13528	32	2	fuzzy	fuzzy	ADJ
fuelectenerg-13528	32	3	set	set	NOUN
fuelectenerg-13528	32	4	ensures	ensure	VERB
fuelectenerg-13528	32	5	a	a	DET
fuelectenerg-13528	32	6	smooth	smooth	ADJ
fuelectenerg-13528	32	7	transition	transition	NOUN
fuelectenerg-13528	32	8	between	between	ADP
fuelectenerg-13528	32	9	member	member	NOUN
fuelectenerg-13528	32	10	and	and	CCONJ
fuelectenerg-13528	32	11	non	non	ADJ
fuelectenerg-13528	32	12	-	-	ADJ
fuelectenerg-13528	32	13	member	member	NOUN
fuelectenerg-13528	32	14	functions	function	NOUN
fuelectenerg-13528	32	15	by	by	ADP
fuelectenerg-13528	32	16	allowing	allow	VERB
fuelectenerg-13528	32	17	an	an	DET
fuelectenerg-13528	32	18	element	element	NOUN
fuelectenerg-13528	32	19	from	from	ADP
fuelectenerg-13528	32	20	the	the	DET
fuelectenerg-13528	32	21	supplied	supply	VERB
fuelectenerg-13528	32	22	set	set	NOUN
fuelectenerg-13528	32	23	.	.	PUNCT
fuelectenerg-13528	33	1	the	the	DET
fuelectenerg-13528	33	2	fuzzy	fuzzy	ADJ
fuelectenerg-13528	33	3	set	set	NOUN
fuelectenerg-13528	33	4	offers	offer	VERB
fuelectenerg-13528	33	5	an	an	DET
fuelectenerg-13528	33	6	excellent	excellent	ADJ
fuelectenerg-13528	33	7	model	model	NOUN
fuelectenerg-13528	33	8	for	for	ADP
fuelectenerg-13528	33	9	the	the	DET
fuelectenerg-13528	33	10	medical	medical	ADJ
fuelectenerg-13528	33	11	diagnosis	diagnosis	NOUN
fuelectenerg-13528	33	12	system	system	NOUN
fuelectenerg-13528	33	13	because	because	SCONJ
fuelectenerg-13528	33	14	of	of	ADP
fuelectenerg-13528	33	15	this	this	PRON
fuelectenerg-13528	33	16	and	and	CCONJ
fuelectenerg-13528	33	17	the	the	DET
fuelectenerg-13528	33	18	ambiguity	ambiguity	NOUN
fuelectenerg-13528	33	19	in	in	ADP
fuelectenerg-13528	33	20	the	the	DET
fuelectenerg-13528	33	21	data	datum	NOUN
fuelectenerg-13528	33	22	.	.	PUNCT
fuelectenerg-13528	34	1	in	in	ADP
fuelectenerg-13528	34	2	a	a	DET
fuelectenerg-13528	34	3	medical	medical	ADJ
fuelectenerg-13528	34	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	34	5	system	system	NOUN
fuelectenerg-13528	34	6	,	,	PUNCT
fuelectenerg-13528	34	7	fuzzy	fuzzy	ADJ
fuelectenerg-13528	34	8	logic	logic	NOUN
fuelectenerg-13528	34	9	[	[	X
fuelectenerg-13528	34	10	7	7	X
fuelectenerg-13528	34	11	]	]	PUNCT
fuelectenerg-13528	34	12	is	be	AUX
fuelectenerg-13528	34	13	a	a	DET
fuelectenerg-13528	34	14	crucial	crucial	ADJ
fuelectenerg-13528	34	15	methodology	methodology	NOUN
fuelectenerg-13528	34	16	in	in	ADP
fuelectenerg-13528	34	17	diagnosing	diagnose	VERB
fuelectenerg-13528	34	18	disease	disease	NOUN
fuelectenerg-13528	34	19	because	because	SCONJ
fuelectenerg-13528	34	20	of	of	ADP
fuelectenerg-13528	34	21	its	its	PRON
fuelectenerg-13528	34	22	basic	basic	ADJ
fuelectenerg-13528	34	23	and	and	CCONJ
fuelectenerg-13528	34	24	easy	easy	ADJ
fuelectenerg-13528	34	25	-	-	PUNCT
fuelectenerg-13528	34	26	to	to	PART
fuelectenerg-13528	34	27	-	-	PUNCT
fuelectenerg-13528	34	28	understand	understand	VERB
fuelectenerg-13528	34	29	structure	structure	NOUN
fuelectenerg-13528	34	30	.	.	PUNCT
fuelectenerg-13528	35	1	building	build	VERB
fuelectenerg-13528	35	2	an	an	DET
fuelectenerg-13528	35	3	optimal	optimal	ADJ
fuelectenerg-13528	35	4	initial	initial	ADJ
fuelectenerg-13528	35	5	-	-	PUNCT
fuelectenerg-13528	35	6	stage	stage	NOUN
fuelectenerg-13528	35	7	cvd	cvd	NOUN
fuelectenerg-13528	35	8	detection	detection	NOUN
fuelectenerg-13528	35	9	framework	framework	NOUN
fuelectenerg-13528	35	10	based	base	VERB
fuelectenerg-13528	35	11	on	on	ADP
fuelectenerg-13528	35	12	the	the	DET
fuelectenerg-13528	35	13	most	most	ADV
fuelectenerg-13528	35	14	ideal	ideal	ADJ
fuelectenerg-13528	35	15	features	feature	NOUN
fuelectenerg-13528	35	16	is	be	AUX
fuelectenerg-13528	35	17	the	the	DET
fuelectenerg-13528	35	18	main	main	ADJ
fuelectenerg-13528	35	19	objective	objective	NOUN
fuelectenerg-13528	35	20	of	of	ADP
fuelectenerg-13528	35	21	this	this	DET
fuelectenerg-13528	35	22	research	research	NOUN
fuelectenerg-13528	35	23	.	.	PUNCT
fuelectenerg-13528	36	1	for	for	ADP
fuelectenerg-13528	36	2	this	this	DET
fuelectenerg-13528	36	3	paper	paper	NOUN
fuelectenerg-13528	36	4	cvd	cvd	PROPN
fuelectenerg-13528	36	5	and	and	CCONJ
fuelectenerg-13528	36	6	framingham	framingham	PROPN
fuelectenerg-13528	36	7	datasets	dataset	NOUN
fuelectenerg-13528	36	8	were	be	AUX
fuelectenerg-13528	36	9	used	use	VERB
fuelectenerg-13528	36	10	for	for	ADP
fuelectenerg-13528	36	11	cvd	cvd	PROPN
fuelectenerg-13528	36	12	prediction	prediction	NOUN
fuelectenerg-13528	36	13	and	and	CCONJ
fuelectenerg-13528	36	14	comparison	comparison	NOUN
fuelectenerg-13528	36	15	.	.	PUNCT
fuelectenerg-13528	37	1	then	then	ADV
fuelectenerg-13528	37	2	for	for	ADP
fuelectenerg-13528	37	3	pre	pre	ADJ
fuelectenerg-13528	37	4	-	-	ADJ
fuelectenerg-13528	37	5	processing	processing	ADJ
fuelectenerg-13528	37	6	,	,	PUNCT
fuelectenerg-13528	37	7	both	both	DET
fuelectenerg-13528	37	8	datasets	dataset	NOUN
fuelectenerg-13528	37	9	use	use	VERB
fuelectenerg-13528	37	10	various	various	ADJ
fuelectenerg-13528	37	11	techniques	technique	NOUN
fuelectenerg-13528	37	12	such	such	ADJ
fuelectenerg-13528	37	13	as	as	ADP
fuelectenerg-13528	37	14	normalization	normalization	NOUN
fuelectenerg-13528	37	15	,	,	PUNCT
fuelectenerg-13528	37	16	standardization	standardization	NOUN
fuelectenerg-13528	37	17	and	and	CCONJ
fuelectenerg-13528	37	18	one	one	NUM
fuelectenerg-13528	37	19	-	-	PUNCT
fuelectenerg-13528	37	20	hot	hot	ADJ
fuelectenerg-13528	37	21	encoding	encoding	NOUN
fuelectenerg-13528	37	22	to	to	PART
fuelectenerg-13528	37	23	remove	remove	VERB
fuelectenerg-13528	37	24	noisy	noisy	ADJ
fuelectenerg-13528	37	25	and	and	CCONJ
fuelectenerg-13528	37	26	unwanted	unwanted	ADJ
fuelectenerg-13528	37	27	data	datum	NOUN
fuelectenerg-13528	37	28	,	,	PUNCT
fuelectenerg-13528	37	29	outliers	outlier	NOUN
fuelectenerg-13528	37	30	and	and	CCONJ
fuelectenerg-13528	37	31	prepare	prepare	VERB
fuelectenerg-13528	37	32	a	a	DET
fuelectenerg-13528	37	33	pre	pre	ADJ
fuelectenerg-13528	37	34	-	-	ADJ
fuelectenerg-13528	37	35	processed	processed	ADJ
fuelectenerg-13528	37	36	dataset	dataset	NOUN
fuelectenerg-13528	37	37	for	for	ADP
fuelectenerg-13528	37	38	further	further	ADJ
fuelectenerg-13528	37	39	processing	processing	NOUN
fuelectenerg-13528	37	40	.	.	PUNCT
fuelectenerg-13528	38	1	the	the	DET
fuelectenerg-13528	38	2	contribution	contribution	NOUN
fuelectenerg-13528	38	3	of	of	ADP
fuelectenerg-13528	38	4	this	this	DET
fuelectenerg-13528	38	5	paper	paper	NOUN
fuelectenerg-13528	38	6	is	be	AUX
fuelectenerg-13528	38	7	1	1	NUM
fuelectenerg-13528	38	8	.	.	PUNCT
fuelectenerg-13528	39	1	the	the	DET
fuelectenerg-13528	39	2	meta	meta	ADJ
fuelectenerg-13528	39	3	-	-	PUNCT
fuelectenerg-13528	39	4	heuristic	heuristic	ADJ
fuelectenerg-13528	39	5	algorithms	algorithm	NOUN
fuelectenerg-13528	39	6	like	like	ADP
fuelectenerg-13528	39	7	csa	csa	PROPN
fuelectenerg-13528	39	8	,	,	PUNCT
fuelectenerg-13528	39	9	ga	ga	PROPN
fuelectenerg-13528	39	10	and	and	CCONJ
fuelectenerg-13528	39	11	pso	pso	NOUN
fuelectenerg-13528	39	12	are	be	AUX
fuelectenerg-13528	39	13	applied	apply	VERB
fuelectenerg-13528	39	14	to	to	ADP
fuelectenerg-13528	39	15	the	the	DET
fuelectenerg-13528	39	16	preprocessed	preprocesse	VERB
fuelectenerg-13528	39	17	dataset	dataset	NOUN
fuelectenerg-13528	39	18	for	for	ADP
fuelectenerg-13528	39	19	best	good	ADJ
fuelectenerg-13528	39	20	feature	feature	NOUN
fuelectenerg-13528	39	21	selection	selection	NOUN
fuelectenerg-13528	39	22	.	.	PUNCT
fuelectenerg-13528	40	1	then	then	ADV
fuelectenerg-13528	40	2	,	,	PUNCT
fuelectenerg-13528	40	3	this	this	DET
fuelectenerg-13528	40	4	selected	select	VERB
fuelectenerg-13528	40	5	set	set	NOUN
fuelectenerg-13528	40	6	of	of	ADP
fuelectenerg-13528	40	7	features	feature	NOUN
fuelectenerg-13528	40	8	for	for	ADP
fuelectenerg-13528	40	9	each	each	DET
fuelectenerg-13528	40	10	meta	meta	ADJ
fuelectenerg-13528	40	11	-	-	PUNCT
fuelectenerg-13528	40	12	heuristic	heuristic	ADJ
fuelectenerg-13528	40	13	approach	approach	NOUN
fuelectenerg-13528	40	14	is	be	AUX
fuelectenerg-13528	40	15	only	only	ADV
fuelectenerg-13528	40	16	considered	consider	VERB
fuelectenerg-13528	40	17	for	for	ADP
fuelectenerg-13528	40	18	the	the	DET
fuelectenerg-13528	40	19	prediction	prediction	NOUN
fuelectenerg-13528	40	20	of	of	ADP
fuelectenerg-13528	40	21	cvd	cvd	PROPN
fuelectenerg-13528	40	22	detection	detection	NOUN
fuelectenerg-13528	40	23	using	use	VERB
fuelectenerg-13528	40	24	various	various	ADJ
fuelectenerg-13528	40	25	ml	ml	NOUN
fuelectenerg-13528	40	26	classifiers	classifier	NOUN
fuelectenerg-13528	40	27	.	.	PUNCT
fuelectenerg-13528	41	1	optimizing	optimize	VERB
fuelectenerg-13528	41	2	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	41	3	disease	disease	NOUN
fuelectenerg-13528	41	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	41	5	:	:	PUNCT
fuelectenerg-13528	41	6	a	a	DET
fuelectenerg-13528	41	7	meta	meta	ADJ
fuelectenerg-13528	41	8	-	-	PUNCT
fuelectenerg-13528	41	9	heuristic	heuristic	ADJ
fuelectenerg-13528	41	10	and	and	CCONJ
fuelectenerg-13528	41	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	41	12	logic	logic	NOUN
fuelectenerg-13528	41	13	-	-	PUNCT
fuelectenerg-13528	41	14	based	base	VERB
fuelectenerg-13528	41	15	approach	approach	NOUN
fuelectenerg-13528	41	16	57	57	NUM
fuelectenerg-13528	41	17	2	2	NUM
fuelectenerg-13528	41	18	.	.	PUNCT
fuelectenerg-13528	42	1	for	for	ADP
fuelectenerg-13528	42	2	each	each	DET
fuelectenerg-13528	42	3	classifier	classifier	NOUN
fuelectenerg-13528	42	4	,	,	PUNCT
fuelectenerg-13528	42	5	several	several	ADJ
fuelectenerg-13528	42	6	evaluation	evaluation	NOUN
fuelectenerg-13528	42	7	metrics	metric	NOUN
fuelectenerg-13528	42	8	like	like	ADP
fuelectenerg-13528	42	9	accuracy	accuracy	NOUN
fuelectenerg-13528	42	10	,	,	PUNCT
fuelectenerg-13528	42	11	precision	precision	NOUN
fuelectenerg-13528	42	12	,	,	PUNCT
fuelectenerg-13528	42	13	recall	recall	NOUN
fuelectenerg-13528	42	14	and	and	CCONJ
fuelectenerg-13528	42	15	f1	f1	NOUN
fuelectenerg-13528	42	16	-	-	PUNCT
fuelectenerg-13528	42	17	score	score	NOUN
fuelectenerg-13528	42	18	are	be	AUX
fuelectenerg-13528	42	19	calculated	calculate	VERB
fuelectenerg-13528	42	20	and	and	CCONJ
fuelectenerg-13528	42	21	compared	compare	VERB
fuelectenerg-13528	42	22	for	for	ADP
fuelectenerg-13528	42	23	better	well	ADJ
fuelectenerg-13528	42	24	analysis	analysis	NOUN
fuelectenerg-13528	42	25	and	and	CCONJ
fuelectenerg-13528	42	26	finding	find	VERB
fuelectenerg-13528	42	27	the	the	DET
fuelectenerg-13528	42	28	best	good	ADJ
fuelectenerg-13528	42	29	performing	perform	VERB
fuelectenerg-13528	42	30	meta	meta	ADJ
fuelectenerg-13528	42	31	-	-	PUNCT
fuelectenerg-13528	42	32	heuristic	heuristic	ADJ
fuelectenerg-13528	42	33	approach	approach	NOUN
fuelectenerg-13528	42	34	and	and	CCONJ
fuelectenerg-13528	42	35	classifier	classifier	NOUN
fuelectenerg-13528	42	36	for	for	ADP
fuelectenerg-13528	42	37	the	the	DET
fuelectenerg-13528	42	38	two	two	NUM
fuelectenerg-13528	42	39	datasets	dataset	NOUN
fuelectenerg-13528	42	40	.	.	PUNCT
fuelectenerg-13528	43	1	3	3	X
fuelectenerg-13528	43	2	.	.	X
fuelectenerg-13528	43	3	the	the	DET
fuelectenerg-13528	43	4	best	well	ADV
fuelectenerg-13528	43	5	performing	perform	VERB
fuelectenerg-13528	43	6	model	model	NOUN
fuelectenerg-13528	43	7	applies	apply	VERB
fuelectenerg-13528	43	8	50	50	NUM
fuelectenerg-13528	43	9	fuzzy	fuzzy	ADJ
fuelectenerg-13528	43	10	logic	logic	NOUN
fuelectenerg-13528	43	11	rules	rule	NOUN
fuelectenerg-13528	43	12	to	to	PART
fuelectenerg-13528	43	13	improve	improve	VERB
fuelectenerg-13528	43	14	the	the	DET
fuelectenerg-13528	43	15	model	model	NOUN
fuelectenerg-13528	43	16	accuracy	accuracy	NOUN
fuelectenerg-13528	43	17	and	and	CCONJ
fuelectenerg-13528	43	18	gives	give	VERB
fuelectenerg-13528	43	19	better	well	ADJ
fuelectenerg-13528	43	20	predictions	prediction	NOUN
fuelectenerg-13528	43	21	for	for	ADP
fuelectenerg-13528	43	22	cvd	cvd	PROPN
fuelectenerg-13528	43	23	prediction	prediction	NOUN
fuelectenerg-13528	43	24	.	.	PUNCT
fuelectenerg-13528	44	1	the	the	DET
fuelectenerg-13528	44	2	paper	paper	NOUN
fuelectenerg-13528	44	3	provides	provide	VERB
fuelectenerg-13528	44	4	a	a	DET
fuelectenerg-13528	44	5	novel	novel	ADJ
fuelectenerg-13528	44	6	contribution	contribution	NOUN
fuelectenerg-13528	44	7	by	by	ADP
fuelectenerg-13528	44	8	leveraging	leverage	VERB
fuelectenerg-13528	44	9	three	three	NUM
fuelectenerg-13528	44	10	powerful	powerful	ADJ
fuelectenerg-13528	44	11	meta	meta	ADJ
fuelectenerg-13528	44	12	-	-	PUNCT
fuelectenerg-13528	44	13	heuristic	heuristic	ADJ
fuelectenerg-13528	44	14	algorithms	algorithms	PROPN
fuelectenerg-13528	44	15	ga	ga	PROPN
fuelectenerg-13528	44	16	,	,	PUNCT
fuelectenerg-13528	44	17	csa	csa	PROPN
fuelectenerg-13528	44	18	,	,	PUNCT
fuelectenerg-13528	44	19	and	and	CCONJ
fuelectenerg-13528	44	20	pso	pso	NOUN
fuelectenerg-13528	44	21	—	—	PUNCT
fuelectenerg-13528	44	22	for	for	ADP
fuelectenerg-13528	44	23	optimal	optimal	ADJ
fuelectenerg-13528	44	24	feature	feature	NOUN
fuelectenerg-13528	44	25	selection	selection	NOUN
fuelectenerg-13528	44	26	from	from	ADP
fuelectenerg-13528	44	27	two	two	NUM
fuelectenerg-13528	44	28	diverse	diverse	ADJ
fuelectenerg-13528	44	29	datasets	dataset	NOUN
fuelectenerg-13528	44	30	:	:	PUNCT
fuelectenerg-13528	44	31	cvd	cvd	PROPN
fuelectenerg-13528	44	32	and	and	CCONJ
fuelectenerg-13528	44	33	framingham	framingham	PROPN
fuelectenerg-13528	44	34	.	.	PUNCT
fuelectenerg-13528	45	1	this	this	DET
fuelectenerg-13528	45	2	strategic	strategic	ADJ
fuelectenerg-13528	45	3	feature	feature	NOUN
fuelectenerg-13528	45	4	selection	selection	NOUN
fuelectenerg-13528	45	5	is	be	AUX
fuelectenerg-13528	45	6	followed	follow	VERB
fuelectenerg-13528	45	7	by	by	ADP
fuelectenerg-13528	45	8	the	the	DET
fuelectenerg-13528	45	9	application	application	NOUN
fuelectenerg-13528	45	10	of	of	ADP
fuelectenerg-13528	45	11	various	various	ADJ
fuelectenerg-13528	45	12	machine	machine	NOUN
fuelectenerg-13528	45	13	learning	learn	VERB
fuelectenerg-13528	45	14	classifiers	classifier	NOUN
fuelectenerg-13528	45	15	,	,	PUNCT
fuelectenerg-13528	45	16	where	where	SCONJ
fuelectenerg-13528	45	17	their	their	PRON
fuelectenerg-13528	45	18	performance	performance	NOUN
fuelectenerg-13528	45	19	is	be	AUX
fuelectenerg-13528	45	20	evaluated	evaluate	VERB
fuelectenerg-13528	45	21	using	use	VERB
fuelectenerg-13528	45	22	multiple	multiple	ADJ
fuelectenerg-13528	45	23	metrics	metric	NOUN
fuelectenerg-13528	45	24	to	to	PART
fuelectenerg-13528	45	25	identify	identify	VERB
fuelectenerg-13528	45	26	the	the	DET
fuelectenerg-13528	45	27	most	most	ADV
fuelectenerg-13528	45	28	effective	effective	ADJ
fuelectenerg-13528	45	29	algorithm	algorithm	NOUN
fuelectenerg-13528	45	30	-	-	PUNCT
fuelectenerg-13528	45	31	classifier	classifier	NOUN
fuelectenerg-13528	45	32	combination	combination	NOUN
fuelectenerg-13528	45	33	.	.	PUNCT
fuelectenerg-13528	46	1	the	the	DET
fuelectenerg-13528	46	2	study	study	NOUN
fuelectenerg-13528	46	3	further	far	ADV
fuelectenerg-13528	46	4	introduces	introduce	VERB
fuelectenerg-13528	46	5	an	an	DET
fuelectenerg-13528	46	6	additional	additional	ADJ
fuelectenerg-13528	46	7	layer	layer	NOUN
fuelectenerg-13528	46	8	of	of	ADP
fuelectenerg-13528	46	9	accuracy	accuracy	NOUN
fuelectenerg-13528	46	10	improvement	improvement	NOUN
fuelectenerg-13528	46	11	by	by	ADP
fuelectenerg-13528	46	12	incorporating	incorporate	VERB
fuelectenerg-13528	46	13	fuzzy	fuzzy	ADJ
fuelectenerg-13528	46	14	logic	logic	NOUN
fuelectenerg-13528	46	15	rules	rule	NOUN
fuelectenerg-13528	46	16	into	into	ADP
fuelectenerg-13528	46	17	the	the	DET
fuelectenerg-13528	46	18	best	well	ADV
fuelectenerg-13528	46	19	-	-	PUNCT
fuelectenerg-13528	46	20	performing	perform	VERB
fuelectenerg-13528	46	21	models	model	NOUN
fuelectenerg-13528	46	22	,	,	PUNCT
fuelectenerg-13528	46	23	showcasing	showcase	VERB
fuelectenerg-13528	46	24	a	a	DET
fuelectenerg-13528	46	25	hybrid	hybrid	ADJ
fuelectenerg-13528	46	26	and	and	CCONJ
fuelectenerg-13528	46	27	intelligent	intelligent	ADJ
fuelectenerg-13528	46	28	framework	framework	NOUN
fuelectenerg-13528	46	29	for	for	ADP
fuelectenerg-13528	46	30	cvd	cvd	PROPN
fuelectenerg-13528	46	31	prediction	prediction	NOUN
fuelectenerg-13528	46	32	.	.	PUNCT
fuelectenerg-13528	47	1	the	the	DET
fuelectenerg-13528	47	2	comprehensive	comprehensive	ADJ
fuelectenerg-13528	47	3	comparison	comparison	NOUN
fuelectenerg-13528	47	4	between	between	ADP
fuelectenerg-13528	47	5	datasets	dataset	NOUN
fuelectenerg-13528	47	6	,	,	PUNCT
fuelectenerg-13528	47	7	algorithms	algorithm	NOUN
fuelectenerg-13528	47	8	,	,	PUNCT
fuelectenerg-13528	47	9	and	and	CCONJ
fuelectenerg-13528	47	10	classifiers	classifier	NOUN
fuelectenerg-13528	47	11	,	,	PUNCT
fuelectenerg-13528	47	12	combined	combine	VERB
fuelectenerg-13528	47	13	with	with	ADP
fuelectenerg-13528	47	14	the	the	DET
fuelectenerg-13528	47	15	novel	novel	ADJ
fuelectenerg-13528	47	16	integration	integration	NOUN
fuelectenerg-13528	47	17	of	of	ADP
fuelectenerg-13528	47	18	fuzzy	fuzzy	ADJ
fuelectenerg-13528	47	19	logic	logic	NOUN
fuelectenerg-13528	47	20	,	,	PUNCT
fuelectenerg-13528	47	21	offers	offer	VERB
fuelectenerg-13528	47	22	a	a	DET
fuelectenerg-13528	47	23	valuable	valuable	ADJ
fuelectenerg-13528	47	24	insight	insight	NOUN
fuelectenerg-13528	47	25	into	into	ADP
fuelectenerg-13528	47	26	developing	develop	VERB
fuelectenerg-13528	47	27	more	more	ADV
fuelectenerg-13528	47	28	precise	precise	ADJ
fuelectenerg-13528	47	29	and	and	CCONJ
fuelectenerg-13528	47	30	interpretable	interpretable	ADJ
fuelectenerg-13528	47	31	models	model	NOUN
fuelectenerg-13528	47	32	for	for	ADP
fuelectenerg-13528	47	33	early	early	ADJ
fuelectenerg-13528	47	34	cvd	cvd	PROPN
fuelectenerg-13528	47	35	diagnosis	diagnosis	NOUN
fuelectenerg-13528	47	36	—	—	PUNCT
fuelectenerg-13528	47	37	an	an	DET
fuelectenerg-13528	47	38	advancement	advancement	NOUN
fuelectenerg-13528	47	39	that	that	PRON
fuelectenerg-13528	47	40	holds	hold	VERB
fuelectenerg-13528	47	41	significant	significant	ADJ
fuelectenerg-13528	47	42	potential	potential	NOUN
fuelectenerg-13528	47	43	for	for	ADP
fuelectenerg-13528	47	44	real	real	ADJ
fuelectenerg-13528	47	45	-	-	PUNCT
fuelectenerg-13528	47	46	world	world	NOUN
fuelectenerg-13528	47	47	healthcare	healthcare	NOUN
fuelectenerg-13528	47	48	applications	application	NOUN
fuelectenerg-13528	47	49	.	.	PUNCT
fuelectenerg-13528	48	1	the	the	DET
fuelectenerg-13528	48	2	introduction	introduction	NOUN
fuelectenerg-13528	48	3	comes	come	VERB
fuelectenerg-13528	48	4	first	first	ADV
fuelectenerg-13528	48	5	in	in	ADP
fuelectenerg-13528	48	6	the	the	DET
fuelectenerg-13528	48	7	paper	paper	NOUN
fuelectenerg-13528	48	8	's	's	PART
fuelectenerg-13528	48	9	setup	setup	NOUN
fuelectenerg-13528	48	10	,	,	PUNCT
fuelectenerg-13528	48	11	and	and	CCONJ
fuelectenerg-13528	48	12	in	in	ADP
fuelectenerg-13528	48	13	section	section	NOUN
fuelectenerg-13528	48	14	2	2	NUM
fuelectenerg-13528	48	15	,	,	PUNCT
fuelectenerg-13528	48	16	there	there	PRON
fuelectenerg-13528	48	17	is	be	VERB
fuelectenerg-13528	48	18	a	a	DET
fuelectenerg-13528	48	19	literature	literature	NOUN
fuelectenerg-13528	48	20	survey	survey	NOUN
fuelectenerg-13528	48	21	.	.	PUNCT
fuelectenerg-13528	49	1	section	section	NOUN
fuelectenerg-13528	49	2	3	3	NUM
fuelectenerg-13528	49	3	gives	give	VERB
fuelectenerg-13528	49	4	the	the	DET
fuelectenerg-13528	49	5	details	detail	NOUN
fuelectenerg-13528	49	6	about	about	ADP
fuelectenerg-13528	49	7	the	the	DET
fuelectenerg-13528	49	8	dataset	dataset	NOUN
fuelectenerg-13528	49	9	used	use	VERB
fuelectenerg-13528	49	10	and	and	CCONJ
fuelectenerg-13528	49	11	the	the	DET
fuelectenerg-13528	49	12	proposed	propose	VERB
fuelectenerg-13528	49	13	methodology	methodology	NOUN
fuelectenerg-13528	49	14	,	,	PUNCT
fuelectenerg-13528	49	15	along	along	ADP
fuelectenerg-13528	49	16	with	with	ADP
fuelectenerg-13528	49	17	the	the	DET
fuelectenerg-13528	49	18	various	various	ADJ
fuelectenerg-13528	49	19	pre	pre	ADJ
fuelectenerg-13528	49	20	-	-	ADJ
fuelectenerg-13528	49	21	processing	processing	ADJ
fuelectenerg-13528	49	22	techniques	technique	NOUN
fuelectenerg-13528	49	23	.	.	PUNCT
fuelectenerg-13528	50	1	then	then	ADV
fuelectenerg-13528	50	2	,	,	PUNCT
fuelectenerg-13528	50	3	section	section	NOUN
fuelectenerg-13528	50	4	4	4	NUM
fuelectenerg-13528	50	5	contains	contain	VERB
fuelectenerg-13528	50	6	the	the	DET
fuelectenerg-13528	50	7	description	description	NOUN
fuelectenerg-13528	50	8	of	of	ADP
fuelectenerg-13528	50	9	the	the	DET
fuelectenerg-13528	50	10	meta	meta	ADJ
fuelectenerg-13528	50	11	-	-	PUNCT
fuelectenerg-13528	50	12	heuristic	heuristic	ADJ
fuelectenerg-13528	50	13	approaches	approach	NOUN
fuelectenerg-13528	50	14	used	use	VERB
fuelectenerg-13528	50	15	,	,	PUNCT
fuelectenerg-13528	50	16	section	section	NOUN
fuelectenerg-13528	50	17	5	5	NUM
fuelectenerg-13528	50	18	describes	describe	VERB
fuelectenerg-13528	50	19	fuzzy	fuzzy	ADJ
fuelectenerg-13528	50	20	logic	logic	NOUN
fuelectenerg-13528	50	21	rules	rule	NOUN
fuelectenerg-13528	50	22	,	,	PUNCT
fuelectenerg-13528	50	23	and	and	CCONJ
fuelectenerg-13528	50	24	the	the	DET
fuelectenerg-13528	50	25	results	result	NOUN
fuelectenerg-13528	50	26	and	and	CCONJ
fuelectenerg-13528	50	27	discussion	discussion	NOUN
fuelectenerg-13528	50	28	of	of	ADP
fuelectenerg-13528	50	29	the	the	DET
fuelectenerg-13528	50	30	various	various	ADJ
fuelectenerg-13528	50	31	classifiers	classifier	NOUN
fuelectenerg-13528	50	32	used	use	VERB
fuelectenerg-13528	50	33	for	for	ADP
fuelectenerg-13528	50	34	cvd	cvd	PROPN
fuelectenerg-13528	50	35	prediction	prediction	NOUN
fuelectenerg-13528	50	36	and	and	CCONJ
fuelectenerg-13528	50	37	their	their	PRON
fuelectenerg-13528	50	38	performance	performance	NOUN
fuelectenerg-13528	50	39	metrics	metric	NOUN
fuelectenerg-13528	50	40	are	be	AUX
fuelectenerg-13528	50	41	given	give	VERB
fuelectenerg-13528	50	42	in	in	ADP
fuelectenerg-13528	50	43	section	section	NOUN
fuelectenerg-13528	50	44	6	6	NUM
fuelectenerg-13528	50	45	.	.	PUNCT
fuelectenerg-13528	51	1	finally	finally	ADV
fuelectenerg-13528	51	2	,	,	PUNCT
fuelectenerg-13528	51	3	section	section	NOUN
fuelectenerg-13528	51	4	7	7	NUM
fuelectenerg-13528	51	5	is	be	AUX
fuelectenerg-13528	51	6	the	the	DET
fuelectenerg-13528	51	7	final	final	ADJ
fuelectenerg-13528	51	8	section	section	NOUN
fuelectenerg-13528	51	9	with	with	ADP
fuelectenerg-13528	51	10	findings	finding	NOUN
fuelectenerg-13528	51	11	and	and	CCONJ
fuelectenerg-13528	51	12	future	future	ADJ
fuelectenerg-13528	51	13	work	work	NOUN
fuelectenerg-13528	51	14	.	.	PUNCT
fuelectenerg-13528	52	1	2	2	X
fuelectenerg-13528	52	2	.	.	X
fuelectenerg-13528	52	3	related	relate	VERB
fuelectenerg-13528	52	4	work	work	NOUN
fuelectenerg-13528	52	5	nandakumar	nandakumar	PROPN
fuelectenerg-13528	52	6	and	and	CCONJ
fuelectenerg-13528	52	7	narayan	narayan	NOUN
fuelectenerg-13528	52	8	in	in	ADP
fuelectenerg-13528	52	9	2022	2022	NUM
fuelectenerg-13528	53	1	[	[	X
fuelectenerg-13528	53	2	8	8	NUM
fuelectenerg-13528	53	3	]	]	PUNCT
fuelectenerg-13528	53	4	highlighted	highlight	VERB
fuelectenerg-13528	53	5	the	the	DET
fuelectenerg-13528	53	6	importance	importance	NOUN
fuelectenerg-13528	53	7	of	of	ADP
fuelectenerg-13528	53	8	accurate	accurate	ADJ
fuelectenerg-13528	53	9	cardiac	cardiac	ADJ
fuelectenerg-13528	53	10	disease	disease	NOUN
fuelectenerg-13528	53	11	prediction	prediction	NOUN
fuelectenerg-13528	53	12	,	,	PUNCT
fuelectenerg-13528	53	13	leveraging	leverage	VERB
fuelectenerg-13528	53	14	advanced	advanced	ADJ
fuelectenerg-13528	53	15	methods	method	NOUN
fuelectenerg-13528	53	16	such	such	ADJ
fuelectenerg-13528	53	17	as	as	ADP
fuelectenerg-13528	53	18	hamming	ham	VERB
fuelectenerg-13528	53	19	distance	distance	NOUN
fuelectenerg-13528	53	20	-	-	PUNCT
fuelectenerg-13528	53	21	based	base	VERB
fuelectenerg-13528	53	22	feature	feature	NOUN
fuelectenerg-13528	53	23	selection	selection	NOUN
fuelectenerg-13528	53	24	and	and	CCONJ
fuelectenerg-13528	53	25	deep	deep	ADJ
fuelectenerg-13528	53	26	belief	belief	NOUN
fuelectenerg-13528	53	27	networks	network	NOUN
fuelectenerg-13528	53	28	(	(	PUNCT
fuelectenerg-13528	53	29	dbn	dbn	PROPN
fuelectenerg-13528	53	30	)	)	PUNCT
fuelectenerg-13528	53	31	enhanced	enhance	VERB
fuelectenerg-13528	53	32	by	by	ADP
fuelectenerg-13528	53	33	bio	bio	NOUN
fuelectenerg-13528	53	34	-	-	PUNCT
fuelectenerg-13528	53	35	inspired	inspire	VERB
fuelectenerg-13528	53	36	algorithms	algorithm	NOUN
fuelectenerg-13528	53	37	like	like	ADP
fuelectenerg-13528	53	38	the	the	DET
fuelectenerg-13528	53	39	cuckoo	cuckoo	NOUN
fuelectenerg-13528	53	40	search	search	NOUN
fuelectenerg-13528	53	41	.	.	PUNCT
fuelectenerg-13528	54	1	these	these	DET
fuelectenerg-13528	54	2	approaches	approach	NOUN
fuelectenerg-13528	54	3	demonstrated	demonstrate	VERB
fuelectenerg-13528	54	4	higher	high	ADJ
fuelectenerg-13528	54	5	accuracy	accuracy	NOUN
fuelectenerg-13528	54	6	across	across	ADP
fuelectenerg-13528	54	7	various	various	ADJ
fuelectenerg-13528	54	8	datasets	dataset	NOUN
fuelectenerg-13528	54	9	,	,	PUNCT
fuelectenerg-13528	54	10	with	with	ADP
fuelectenerg-13528	54	11	future	future	ADJ
fuelectenerg-13528	54	12	efforts	effort	NOUN
fuelectenerg-13528	54	13	directed	direct	VERB
fuelectenerg-13528	54	14	toward	toward	ADP
fuelectenerg-13528	54	15	utilizing	utilize	VERB
fuelectenerg-13528	54	16	larger	large	ADJ
fuelectenerg-13528	54	17	datasets	dataset	NOUN
fuelectenerg-13528	54	18	and	and	CCONJ
fuelectenerg-13528	54	19	ecg	ecg	PROPN
fuelectenerg-13528	54	20	data	datum	NOUN
fuelectenerg-13528	54	21	for	for	ADP
fuelectenerg-13528	54	22	greater	great	ADJ
fuelectenerg-13528	54	23	precision	precision	NOUN
fuelectenerg-13528	54	24	.	.	PUNCT
fuelectenerg-13528	55	1	pathan	pathan	PROPN
fuelectenerg-13528	55	2	et	et	PROPN
fuelectenerg-13528	55	3	al	al	PROPN
fuelectenerg-13528	55	4	.	.	PROPN
fuelectenerg-13528	56	1	in	in	ADP
fuelectenerg-13528	56	2	2022	2022	NUM
fuelectenerg-13528	56	3	[	[	X
fuelectenerg-13528	56	4	9	9	NUM
fuelectenerg-13528	56	5	]	]	PUNCT
fuelectenerg-13528	56	6	emphasized	emphasize	VERB
fuelectenerg-13528	56	7	the	the	DET
fuelectenerg-13528	56	8	importance	importance	NOUN
fuelectenerg-13528	56	9	of	of	ADP
fuelectenerg-13528	56	10	the	the	DET
fuelectenerg-13528	56	11	anova	anova	PROPN
fuelectenerg-13528	56	12	-	-	PROPN
fuelectenerg-13528	56	13	f	f	PROPN
fuelectenerg-13528	56	14	test	test	NOUN
fuelectenerg-13528	56	15	for	for	ADP
fuelectenerg-13528	56	16	identifying	identify	VERB
fuelectenerg-13528	56	17	key	key	ADJ
fuelectenerg-13528	56	18	risk	risk	NOUN
fuelectenerg-13528	56	19	factors	factor	NOUN
fuelectenerg-13528	56	20	,	,	PUNCT
fuelectenerg-13528	56	21	improving	improve	VERB
fuelectenerg-13528	56	22	accuracy	accuracy	NOUN
fuelectenerg-13528	56	23	from	from	ADP
fuelectenerg-13528	56	24	0.73	0.73	NUM
fuelectenerg-13528	56	25	to	to	ADP
fuelectenerg-13528	56	26	0.75	0.75	NUM
fuelectenerg-13528	56	27	for	for	ADP
fuelectenerg-13528	56	28	cvd	cvd	PROPN
fuelectenerg-13528	56	29	and	and	CCONJ
fuelectenerg-13528	56	30	0.66	0.66	NUM
fuelectenerg-13528	56	31	to	to	ADP
fuelectenerg-13528	56	32	0.71	0.71	NUM
fuelectenerg-13528	56	33	for	for	ADP
fuelectenerg-13528	56	34	framingham	framingham	PROPN
fuelectenerg-13528	56	35	datasets	datasets	PROPN
fuelectenerg-13528	56	36	.	.	PUNCT
fuelectenerg-13528	57	1	optimized	optimize	VERB
fuelectenerg-13528	57	2	feature	feature	NOUN
fuelectenerg-13528	57	3	selection	selection	NOUN
fuelectenerg-13528	57	4	enhances	enhance	VERB
fuelectenerg-13528	57	5	model	model	NOUN
fuelectenerg-13528	57	6	performance	performance	NOUN
fuelectenerg-13528	57	7	and	and	CCONJ
fuelectenerg-13528	57	8	reduces	reduce	VERB
fuelectenerg-13528	57	9	computational	computational	ADJ
fuelectenerg-13528	57	10	complexity	complexity	NOUN
fuelectenerg-13528	57	11	in	in	ADP
fuelectenerg-13528	57	12	heart	heart	NOUN
fuelectenerg-13528	57	13	disease	disease	NOUN
fuelectenerg-13528	57	14	prediction	prediction	NOUN
fuelectenerg-13528	57	15	.	.	PUNCT
fuelectenerg-13528	58	1	doppala	doppala	PROPN
fuelectenerg-13528	58	2	et	et	PROPN
fuelectenerg-13528	58	3	al	al	PROPN
fuelectenerg-13528	58	4	.	.	PROPN
fuelectenerg-13528	59	1	in	in	ADP
fuelectenerg-13528	59	2	2023	2023	NUM
fuelectenerg-13528	59	3	[	[	X
fuelectenerg-13528	59	4	10	10	NUM
fuelectenerg-13528	59	5	]	]	PUNCT
fuelectenerg-13528	59	6	suggested	suggest	VERB
fuelectenerg-13528	59	7	a	a	DET
fuelectenerg-13528	59	8	ga	ga	PROPN
fuelectenerg-13528	59	9	-	-	PUNCT
fuelectenerg-13528	59	10	rbf	rbf	PROPN
fuelectenerg-13528	59	11	hybrid	hybrid	ADJ
fuelectenerg-13528	59	12	model	model	NOUN
fuelectenerg-13528	59	13	for	for	ADP
fuelectenerg-13528	59	14	heart	heart	NOUN
fuelectenerg-13528	59	15	disease	disease	NOUN
fuelectenerg-13528	59	16	prediction	prediction	NOUN
fuelectenerg-13528	59	17	,	,	PUNCT
fuelectenerg-13528	59	18	achieving	achieve	VERB
fuelectenerg-13528	59	19	improved	improved	ADJ
fuelectenerg-13528	59	20	accuracy	accuracy	NOUN
fuelectenerg-13528	59	21	from	from	ADP
fuelectenerg-13528	59	22	85.4	85.4	NUM
fuelectenerg-13528	59	23	%	%	NOUN
fuelectenerg-13528	59	24	to	to	ADP
fuelectenerg-13528	59	25	94.2	94.2	NUM
fuelectenerg-13528	59	26	%	%	NOUN
fuelectenerg-13528	59	27	by	by	ADP
fuelectenerg-13528	59	28	reducing	reduce	VERB
fuelectenerg-13528	59	29	features	feature	NOUN
fuelectenerg-13528	59	30	.	.	PUNCT
fuelectenerg-13528	60	1	in	in	ADP
fuelectenerg-13528	60	2	2023	2023	NUM
fuelectenerg-13528	60	3	ansyari	ansyari	X
fuelectenerg-13528	60	4	et	et	PROPN
fuelectenerg-13528	60	5	al	al	PROPN
fuelectenerg-13528	60	6	.	.	PUNCT
fuelectenerg-13528	61	1	[	[	X
fuelectenerg-13528	61	2	11	11	NUM
fuelectenerg-13528	61	3	]	]	PUNCT
fuelectenerg-13528	61	4	utilized	utilize	VERB
fuelectenerg-13528	61	5	the	the	DET
fuelectenerg-13528	61	6	uci	uci	PROPN
fuelectenerg-13528	61	7	dataset	dataset	PROPN
fuelectenerg-13528	61	8	,	,	PUNCT
fuelectenerg-13528	61	9	applying	apply	VERB
fuelectenerg-13528	61	10	xgboost	xgboost	ADV
fuelectenerg-13528	62	1	and	and	CCONJ
fuelectenerg-13528	62	2	rf	rf	NOUN
fuelectenerg-13528	62	3	classifiers	classifier	NOUN
fuelectenerg-13528	62	4	with	with	ADP
fuelectenerg-13528	62	5	pso	pso	NOUN
fuelectenerg-13528	62	6	for	for	ADP
fuelectenerg-13528	62	7	feature	feature	NOUN
fuelectenerg-13528	62	8	selection	selection	NOUN
fuelectenerg-13528	62	9	.	.	PUNCT
fuelectenerg-13528	63	1	pso	pso	NOUN
fuelectenerg-13528	63	2	improved	improve	VERB
fuelectenerg-13528	63	3	auc	auc	NOUN
fuelectenerg-13528	63	4	to	to	ADP
fuelectenerg-13528	63	5	0.913	0.913	NUM
fuelectenerg-13528	63	6	for	for	ADP
fuelectenerg-13528	63	7	xgboost	xgboost	PRON
fuelectenerg-13528	63	8	and	and	CCONJ
fuelectenerg-13528	63	9	0.918	0.918	NUM
fuelectenerg-13528	63	10	for	for	ADP
fuelectenerg-13528	63	11	rf	rf	SYM
fuelectenerg-13528	63	12	,	,	PUNCT
fuelectenerg-13528	63	13	compared	compare	VERB
fuelectenerg-13528	63	14	to	to	AUX
fuelectenerg-13528	63	15	baseline	baseline	VERB
fuelectenerg-13528	63	16	values	value	NOUN
fuelectenerg-13528	63	17	of	of	ADP
fuelectenerg-13528	63	18	0.877	0.877	NUM
fuelectenerg-13528	63	19	and	and	CCONJ
fuelectenerg-13528	63	20	0.874	0.874	NUM
fuelectenerg-13528	63	21	.	.	PUNCT
fuelectenerg-13528	64	1	in	in	ADP
fuelectenerg-13528	64	2	2021	2021	NUM
fuelectenerg-13528	64	3	,	,	PUNCT
fuelectenerg-13528	64	4	saha	saha	PROPN
fuelectenerg-13528	64	5	et	et	PROPN
fuelectenerg-13528	64	6	al	al	PROPN
fuelectenerg-13528	64	7	.	.	PUNCT
fuelectenerg-13528	65	1	[	[	X
fuelectenerg-13528	65	2	12	12	NUM
fuelectenerg-13528	65	3	]	]	PUNCT
fuelectenerg-13528	65	4	used	use	VERB
fuelectenerg-13528	65	5	data	datum	NOUN
fuelectenerg-13528	65	6	mining	mining	NOUN
fuelectenerg-13528	65	7	and	and	CCONJ
fuelectenerg-13528	65	8	ml	ml	ADP
fuelectenerg-13528	65	9	techniques	technique	NOUN
fuelectenerg-13528	65	10	like	like	ADP
fuelectenerg-13528	65	11	nb	nb	INTJ
fuelectenerg-13528	65	12	,	,	PUNCT
fuelectenerg-13528	65	13	rf	rf	PROPN
fuelectenerg-13528	65	14	,	,	PUNCT
fuelectenerg-13528	65	15	knn	knn	PROPN
fuelectenerg-13528	65	16	and	and	CCONJ
fuelectenerg-13528	65	17	dt	dt	X
fuelectenerg-13528	65	18	to	to	PART
fuelectenerg-13528	65	19	analyze	analyze	VERB
fuelectenerg-13528	65	20	medical	medical	ADJ
fuelectenerg-13528	65	21	datasets	dataset	NOUN
fuelectenerg-13528	65	22	for	for	ADP
fuelectenerg-13528	65	23	heart	heart	NOUN
fuelectenerg-13528	65	24	disease	disease	NOUN
fuelectenerg-13528	65	25	prediction	prediction	NOUN
fuelectenerg-13528	65	26	.	.	PUNCT
fuelectenerg-13528	66	1	these	these	DET
fuelectenerg-13528	66	2	methods	method	NOUN
fuelectenerg-13528	66	3	aim	aim	VERB
fuelectenerg-13528	66	4	to	to	PART
fuelectenerg-13528	66	5	improve	improve	VERB
fuelectenerg-13528	66	6	early	early	ADJ
fuelectenerg-13528	66	7	diagnosis	diagnosis	NOUN
fuelectenerg-13528	66	8	and	and	CCONJ
fuelectenerg-13528	66	9	management	management	NOUN
fuelectenerg-13528	66	10	by	by	ADP
fuelectenerg-13528	66	11	identifying	identify	VERB
fuelectenerg-13528	66	12	key	key	ADJ
fuelectenerg-13528	66	13	risk	risk	NOUN
fuelectenerg-13528	66	14	factors	factor	NOUN
fuelectenerg-13528	66	15	.	.	PUNCT
fuelectenerg-13528	67	1	kaur	kaur	PROPN
fuelectenerg-13528	67	2	et	et	PROPN
fuelectenerg-13528	67	3	al	al	PROPN
fuelectenerg-13528	67	4	.	.	PUNCT
fuelectenerg-13528	68	1	[	[	X
fuelectenerg-13528	68	2	13	13	NUM
fuelectenerg-13528	68	3	]	]	PUNCT
fuelectenerg-13528	68	4	reviewed	review	VERB
fuelectenerg-13528	68	5	ten	ten	NUM
fuelectenerg-13528	68	6	metaheuristic	metaheuristic	ADJ
fuelectenerg-13528	68	7	techniques	technique	NOUN
fuelectenerg-13528	68	8	,	,	PUNCT
fuelectenerg-13528	68	9	like	like	ADP
fuelectenerg-13528	68	10	spider	spider	NOUN
fuelectenerg-13528	68	11	monkey	monkey	NOUN
fuelectenerg-13528	68	12	optimization	optimization	NOUN
fuelectenerg-13528	68	13	and	and	CCONJ
fuelectenerg-13528	68	14	cuckoo	cuckoo	NOUN
fuelectenerg-13528	68	15	search	search	NOUN
fuelectenerg-13528	68	16	,	,	PUNCT
fuelectenerg-13528	68	17	for	for	ADP
fuelectenerg-13528	68	18	disease	disease	NOUN
fuelectenerg-13528	68	19	prediction	prediction	NOUN
fuelectenerg-13528	68	20	,	,	PUNCT
fuelectenerg-13528	68	21	emphasizing	emphasize	VERB
fuelectenerg-13528	68	22	their	their	PRON
fuelectenerg-13528	68	23	role	role	NOUN
fuelectenerg-13528	68	24	in	in	ADP
fuelectenerg-13528	68	25	optimizing	optimize	VERB
fuelectenerg-13528	68	26	feature	feature	NOUN
fuelectenerg-13528	68	27	selection	selection	NOUN
fuelectenerg-13528	68	28	and	and	CCONJ
fuelectenerg-13528	68	29	accuracy	accuracy	NOUN
fuelectenerg-13528	68	30	.	.	PUNCT
fuelectenerg-13528	69	1	while	while	SCONJ
fuelectenerg-13528	69	2	promising	promising	ADJ
fuelectenerg-13528	69	3	and	and	CCONJ
fuelectenerg-13528	69	4	computationally	computationally	ADV
fuelectenerg-13528	69	5	efficient	efficient	ADJ
fuelectenerg-13528	69	6	,	,	PUNCT
fuelectenerg-13528	69	7	these	these	DET
fuelectenerg-13528	69	8	methods	method	NOUN
fuelectenerg-13528	69	9	require	require	VERB
fuelectenerg-13528	69	10	large	large	ADJ
fuelectenerg-13528	69	11	datasets	dataset	NOUN
fuelectenerg-13528	69	12	and	and	CCONJ
fuelectenerg-13528	69	13	careful	careful	ADJ
fuelectenerg-13528	69	14	implementation	implementation	NOUN
fuelectenerg-13528	69	15	to	to	PART
fuelectenerg-13528	69	16	minimize	minimize	VERB
fuelectenerg-13528	69	17	errors	error	NOUN
fuelectenerg-13528	69	18	.	.	PUNCT
fuelectenerg-13528	70	1	kanagarathinam	kanagarathinam	PROPN
fuelectenerg-13528	70	2	et	et	PROPN
fuelectenerg-13528	70	3	al	al	PROPN
fuelectenerg-13528	70	4	.	.	PROPN
fuelectenerg-13528	70	5	developed	develop	VERB
fuelectenerg-13528	70	6	the	the	DET
fuelectenerg-13528	70	7	"	"	PUNCT
fuelectenerg-13528	70	8	sathvi	sathvi	NOUN
fuelectenerg-13528	70	9	"	"	PUNCT
fuelectenerg-13528	70	10	dataset	dataset	VERB
fuelectenerg-13528	70	11	by	by	ADP
fuelectenerg-13528	70	12	integrating	integrate	VERB
fuelectenerg-13528	70	13	four	four	NUM
fuelectenerg-13528	70	14	existing	exist	VERB
fuelectenerg-13528	70	15	cvd	cvd	NOUN
fuelectenerg-13528	70	16	datasets	dataset	NOUN
fuelectenerg-13528	70	17	,	,	PUNCT
fuelectenerg-13528	70	18	creating	create	VERB
fuelectenerg-13528	70	19	a	a	DET
fuelectenerg-13528	70	20	clean	clean	ADJ
fuelectenerg-13528	70	21	dataset	dataset	NOUN
fuelectenerg-13528	70	22	with	with	ADP
fuelectenerg-13528	70	23	531	531	NUM
fuelectenerg-13528	70	24	instances	instance	NOUN
fuelectenerg-13528	70	25	and	and	CCONJ
fuelectenerg-13528	70	26	no	no	DET
fuelectenerg-13528	70	27	missing	miss	VERB
fuelectenerg-13528	70	28	values	value	NOUN
fuelectenerg-13528	70	29	.	.	PUNCT
fuelectenerg-13528	71	1	using	use	VERB
fuelectenerg-13528	71	2	six	six	NUM
fuelectenerg-13528	71	3	ml	ml	NUM
fuelectenerg-13528	71	4	58	58	NUM
fuelectenerg-13528	71	5	g.	g.	PROPN
fuelectenerg-13528	71	6	gayatri	gayatri	PROPN
fuelectenerg-13528	71	7	lenka	lenka	PROPN
fuelectenerg-13528	71	8	,	,	PUNCT
fuelectenerg-13528	71	9	p.	p.	PROPN
fuelectenerg-13528	71	10	mishra	mishra	PROPN
fuelectenerg-13528	71	11	,	,	PUNCT
fuelectenerg-13528	71	12	j.	j.	PROPN
fuelectenerg-13528	71	13	routray	routray	PROPN
fuelectenerg-13528	71	14	,	,	PUNCT
fuelectenerg-13528	71	15	m.	m.	NOUN
fuelectenerg-13528	71	16	kandpal	kandpal	PROPN
fuelectenerg-13528	71	17	,	,	PUNCT
fuelectenerg-13528	71	18	r.	r.	PROPN
fuelectenerg-13528	71	19	kumar	kumar	PROPN
fuelectenerg-13528	71	20	dash	dash	PROPN
fuelectenerg-13528	71	21	,	,	PUNCT
fuelectenerg-13528	71	22	d.	d.	PROPN
fuelectenerg-13528	71	23	mishra	mishra	PROPN
fuelectenerg-13528	71	24	classifiers	classifiers	PROPN
fuelectenerg-13528	71	25	,	,	PUNCT
fuelectenerg-13528	71	26	the	the	DET
fuelectenerg-13528	71	27	catboost	catboost	PROPN
fuelectenerg-13528	71	28	model	model	NOUN
fuelectenerg-13528	71	29	demonstrated	demonstrate	VERB
fuelectenerg-13528	71	30	superior	superior	ADJ
fuelectenerg-13528	71	31	performance	performance	NOUN
fuelectenerg-13528	71	32	with	with	ADP
fuelectenerg-13528	71	33	an	an	DET
fuelectenerg-13528	71	34	average	average	ADJ
fuelectenerg-13528	71	35	accuracy	accuracy	NOUN
fuelectenerg-13528	71	36	of	of	ADP
fuelectenerg-13528	71	37	94.34	94.34	NUM
fuelectenerg-13528	71	38	%	%	NOUN
fuelectenerg-13528	71	39	through	through	ADP
fuelectenerg-13528	71	40	10	10	NUM
fuelectenerg-13528	71	41	-	-	ADJ
fuelectenerg-13528	71	42	fold	fold	ADJ
fuelectenerg-13528	71	43	cross	cross	NOUN
fuelectenerg-13528	71	44	-	-	NOUN
fuelectenerg-13528	71	45	validation	validation	ADJ
fuelectenerg-13528	71	46	[	[	X
fuelectenerg-13528	71	47	14	14	NUM
fuelectenerg-13528	71	48	]	]	PUNCT
fuelectenerg-13528	71	49	.	.	PUNCT
fuelectenerg-13528	72	1	in	in	ADP
fuelectenerg-13528	72	2	their	their	PRON
fuelectenerg-13528	72	3	2023	2023	NUM
fuelectenerg-13528	72	4	study	study	NOUN
fuelectenerg-13528	72	5	,	,	PUNCT
fuelectenerg-13528	72	6	baghdadi	baghdadi	PROPN
fuelectenerg-13528	72	7	et	et	PROPN
fuelectenerg-13528	72	8	al	al	PROPN
fuelectenerg-13528	72	9	.	.	PUNCT
fuelectenerg-13528	73	1	[	[	X
fuelectenerg-13528	73	2	15	15	NUM
fuelectenerg-13528	73	3	]	]	PUNCT
fuelectenerg-13528	73	4	explored	explore	VERB
fuelectenerg-13528	73	5	the	the	DET
fuelectenerg-13528	73	6	use	use	NOUN
fuelectenerg-13528	73	7	of	of	ADP
fuelectenerg-13528	73	8	diverse	diverse	ADJ
fuelectenerg-13528	73	9	information	information	NOUN
fuelectenerg-13528	73	10	sources	source	NOUN
fuelectenerg-13528	73	11	,	,	PUNCT
fuelectenerg-13528	73	12	such	such	ADJ
fuelectenerg-13528	73	13	as	as	ADP
fuelectenerg-13528	73	14	images	image	NOUN
fuelectenerg-13528	73	15	and	and	CCONJ
fuelectenerg-13528	73	16	electronic	electronic	ADJ
fuelectenerg-13528	73	17	medical	medical	ADJ
fuelectenerg-13528	73	18	records	record	NOUN
fuelectenerg-13528	73	19	,	,	PUNCT
fuelectenerg-13528	73	20	to	to	PART
fuelectenerg-13528	73	21	enhance	enhance	VERB
fuelectenerg-13528	73	22	the	the	DET
fuelectenerg-13528	73	23	quick	quick	ADJ
fuelectenerg-13528	73	24	identification	identification	NOUN
fuelectenerg-13528	73	25	and	and	CCONJ
fuelectenerg-13528	73	26	diagnosis	diagnosis	NOUN
fuelectenerg-13528	73	27	of	of	ADP
fuelectenerg-13528	73	28	cvd	cvd	PROPN
fuelectenerg-13528	73	29	through	through	ADP
fuelectenerg-13528	73	30	advanced	advanced	ADJ
fuelectenerg-13528	73	31	ml	ml	NOUN
fuelectenerg-13528	73	32	techniques	technique	NOUN
fuelectenerg-13528	73	33	,	,	PUNCT
fuelectenerg-13528	73	34	including	include	VERB
fuelectenerg-13528	73	35	svm	svm	NOUN
fuelectenerg-13528	73	36	and	and	CCONJ
fuelectenerg-13528	73	37	dl	dl	PROPN
fuelectenerg-13528	73	38	.	.	PUNCT
fuelectenerg-13528	74	1	the	the	DET
fuelectenerg-13528	74	2	catboost	catboost	PROPN
fuelectenerg-13528	74	3	model	model	NOUN
fuelectenerg-13528	74	4	they	they	PRON
fuelectenerg-13528	74	5	developed	develop	VERB
fuelectenerg-13528	74	6	achieved	achieve	VERB
fuelectenerg-13528	74	7	an	an	DET
fuelectenerg-13528	74	8	f1score	f1score	NOUN
fuelectenerg-13528	74	9	of	of	ADP
fuelectenerg-13528	74	10	approximately	approximately	ADV
fuelectenerg-13528	74	11	92.3	92.3	NUM
fuelectenerg-13528	74	12	%	%	NOUN
fuelectenerg-13528	74	13	and	and	CCONJ
fuelectenerg-13528	74	14	an	an	DET
fuelectenerg-13528	74	15	accuracy	accuracy	NOUN
fuelectenerg-13528	74	16	of	of	ADP
fuelectenerg-13528	74	17	around	around	ADP
fuelectenerg-13528	74	18	90.94	90.94	NUM
fuelectenerg-13528	74	19	%	%	NOUN
fuelectenerg-13528	74	20	.	.	PUNCT
fuelectenerg-13528	75	1	in	in	ADP
fuelectenerg-13528	75	2	2021	2021	NUM
fuelectenerg-13528	75	3	,	,	PUNCT
fuelectenerg-13528	75	4	hana	hana	PROPN
fuelectenerg-13528	75	5	h.	h.	PROPN
fuelectenerg-13528	75	6	alalawi	alalawi	PROPN
fuelectenerg-13528	75	7	[	[	X
fuelectenerg-13528	75	8	16	16	NUM
fuelectenerg-13528	75	9	]	]	PUNCT
fuelectenerg-13528	75	10	presented	present	VERB
fuelectenerg-13528	75	11	a	a	DET
fuelectenerg-13528	75	12	model	model	NOUN
fuelectenerg-13528	75	13	utilizing	utilize	VERB
fuelectenerg-13528	75	14	two	two	NUM
fuelectenerg-13528	75	15	datasets	dataset	NOUN
fuelectenerg-13528	75	16	.	.	PUNCT
fuelectenerg-13528	76	1	for	for	SCONJ
fuelectenerg-13528	76	2	the	the	DET
fuelectenerg-13528	76	3	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	76	4	disease	disease	NOUN
fuelectenerg-13528	76	5	dataset	dataset	VERB
fuelectenerg-13528	76	6	,	,	PUNCT
fuelectenerg-13528	76	7	the	the	DET
fuelectenerg-13528	76	8	gradient	gradient	NOUN
fuelectenerg-13528	76	9	boosting	boost	VERB
fuelectenerg-13528	76	10	classifier	classifier	NOUN
fuelectenerg-13528	76	11	achieved	achieve	VERB
fuelectenerg-13528	76	12	an	an	DET
fuelectenerg-13528	76	13	accuracy	accuracy	NOUN
fuelectenerg-13528	76	14	of	of	ADP
fuelectenerg-13528	76	15	73	73	NUM
fuelectenerg-13528	76	16	%	%	NOUN
fuelectenerg-13528	76	17	,	,	PUNCT
fuelectenerg-13528	76	18	while	while	SCONJ
fuelectenerg-13528	76	19	the	the	DET
fuelectenerg-13528	76	20	rf	rf	NOUN
fuelectenerg-13528	76	21	reached	reach	VERB
fuelectenerg-13528	76	22	an	an	DET
fuelectenerg-13528	76	23	accuracy	accuracy	NOUN
fuelectenerg-13528	76	24	of	of	ADP
fuelectenerg-13528	76	25	94	94	NUM
fuelectenerg-13528	76	26	%	%	NOUN
fuelectenerg-13528	76	27	.	.	PUNCT
fuelectenerg-13528	77	1	rubini	rubini	PROPN
fuelectenerg-13528	77	2	et	et	PROPN
fuelectenerg-13528	77	3	al	al	PROPN
fuelectenerg-13528	77	4	.	.	PROPN
fuelectenerg-13528	78	1	in	in	ADP
fuelectenerg-13528	78	2	2021	2021	NUM
fuelectenerg-13528	78	3	[	[	X
fuelectenerg-13528	78	4	17	17	NUM
fuelectenerg-13528	78	5	]	]	PUNCT
fuelectenerg-13528	78	6	examined	examine	VERB
fuelectenerg-13528	78	7	the	the	DET
fuelectenerg-13528	78	8	relationship	relationship	NOUN
fuelectenerg-13528	78	9	between	between	ADP
fuelectenerg-13528	78	10	diabetes	diabetes	NOUN
fuelectenerg-13528	78	11	and	and	CCONJ
fuelectenerg-13528	78	12	heart	heart	NOUN
fuelectenerg-13528	78	13	disease	disease	NOUN
fuelectenerg-13528	78	14	using	use	VERB
fuelectenerg-13528	78	15	the	the	DET
fuelectenerg-13528	78	16	rf	rf	ADJ
fuelectenerg-13528	78	17	algorithm	algorithm	NOUN
fuelectenerg-13528	78	18	,	,	PUNCT
fuelectenerg-13528	78	19	achieving	achieve	VERB
fuelectenerg-13528	78	20	an	an	DET
fuelectenerg-13528	78	21	accuracy	accuracy	NOUN
fuelectenerg-13528	78	22	of	of	ADP
fuelectenerg-13528	78	23	84.81	84.81	NUM
fuelectenerg-13528	78	24	%	%	NOUN
fuelectenerg-13528	78	25	.	.	PUNCT
fuelectenerg-13528	79	1	they	they	PRON
fuelectenerg-13528	79	2	proposed	propose	VERB
fuelectenerg-13528	79	3	that	that	SCONJ
fuelectenerg-13528	79	4	developing	develop	VERB
fuelectenerg-13528	79	5	new	new	ADJ
fuelectenerg-13528	79	6	algorithms	algorithm	NOUN
fuelectenerg-13528	79	7	could	could	AUX
fuelectenerg-13528	79	8	enhance	enhance	VERB
fuelectenerg-13528	79	9	prediction	prediction	NOUN
fuelectenerg-13528	79	10	accuracy	accuracy	NOUN
fuelectenerg-13528	79	11	even	even	ADV
fuelectenerg-13528	79	12	further	far	ADV
fuelectenerg-13528	79	13	.	.	PUNCT
fuelectenerg-13528	80	1	arroyo	arroyo	PROPN
fuelectenerg-13528	80	2	et	et	PROPN
fuelectenerg-13528	80	3	al	al	PROPN
fuelectenerg-13528	80	4	.	.	PUNCT
fuelectenerg-13528	81	1	[	[	X
fuelectenerg-13528	81	2	18	18	NUM
fuelectenerg-13528	81	3	]	]	PUNCT
fuelectenerg-13528	81	4	utilized	utilize	VERB
fuelectenerg-13528	81	5	a	a	DET
fuelectenerg-13528	81	6	cvd	cvd	NOUN
fuelectenerg-13528	81	7	dataset	dataset	VERB
fuelectenerg-13528	81	8	with	with	ADP
fuelectenerg-13528	81	9	70,000	70,000	NUM
fuelectenerg-13528	81	10	instances	instance	NOUN
fuelectenerg-13528	81	11	and	and	CCONJ
fuelectenerg-13528	81	12	12	12	NUM
fuelectenerg-13528	81	13	variables	variable	NOUN
fuelectenerg-13528	81	14	,	,	PUNCT
fuelectenerg-13528	81	15	optimizing	optimize	VERB
fuelectenerg-13528	81	16	ann	ann	PROPN
fuelectenerg-13528	81	17	with	with	ADP
fuelectenerg-13528	81	18	ga	ga	PROPN
fuelectenerg-13528	81	19	to	to	PART
fuelectenerg-13528	81	20	improve	improve	VERB
fuelectenerg-13528	81	21	the	the	DET
fuelectenerg-13528	81	22	identification	identification	NOUN
fuelectenerg-13528	81	23	of	of	ADP
fuelectenerg-13528	81	24	cvd	cvd	PROPN
fuelectenerg-13528	81	25	.	.	PUNCT
fuelectenerg-13528	82	1	the	the	DET
fuelectenerg-13528	82	2	hybrid	hybrid	PROPN
fuelectenerg-13528	82	3	ga	ga	PROPN
fuelectenerg-13528	82	4	-	-	PUNCT
fuelectenerg-13528	82	5	ann	ann	PROPN
fuelectenerg-13528	82	6	model	model	NOUN
fuelectenerg-13528	82	7	outperformed	outperform	VERB
fuelectenerg-13528	82	8	standalone	standalone	PROPN
fuelectenerg-13528	82	9	ann	ann	PROPN
fuelectenerg-13528	82	10	and	and	CCONJ
fuelectenerg-13528	82	11	other	other	ADJ
fuelectenerg-13528	82	12	ml	ml	NOUN
fuelectenerg-13528	82	13	algorithms	algorithm	NOUN
fuelectenerg-13528	82	14	,	,	PUNCT
fuelectenerg-13528	82	15	achieving	achieve	VERB
fuelectenerg-13528	82	16	the	the	DET
fuelectenerg-13528	82	17	highest	high	ADJ
fuelectenerg-13528	82	18	accuracy	accuracy	NOUN
fuelectenerg-13528	82	19	of	of	ADP
fuelectenerg-13528	82	20	73.43	73.43	NUM
fuelectenerg-13528	82	21	%	%	NOUN
fuelectenerg-13528	82	22	.	.	PUNCT
fuelectenerg-13528	83	1	vivekanandan	vivekanandan	PROPN
fuelectenerg-13528	83	2	et	et	PROPN
fuelectenerg-13528	83	3	al	al	PROPN
fuelectenerg-13528	83	4	.	.	PROPN
fuelectenerg-13528	83	5	introduced	introduce	VERB
fuelectenerg-13528	83	6	a	a	DET
fuelectenerg-13528	83	7	hybrid	hybrid	ADJ
fuelectenerg-13528	83	8	model	model	NOUN
fuelectenerg-13528	83	9	that	that	PRON
fuelectenerg-13528	83	10	integrates	integrate	VERB
fuelectenerg-13528	83	11	modified	modify	VERB
fuelectenerg-13528	83	12	differential	differential	NOUN
fuelectenerg-13528	83	13	evolution	evolution	NOUN
fuelectenerg-13528	83	14	(	(	PUNCT
fuelectenerg-13528	83	15	de	de	NOUN
fuelectenerg-13528	83	16	)	)	PUNCT
fuelectenerg-13528	83	17	for	for	ADP
fuelectenerg-13528	83	18	feature	feature	NOUN
fuelectenerg-13528	83	19	selection	selection	NOUN
fuelectenerg-13528	83	20	,	,	PUNCT
fuelectenerg-13528	83	21	fuzzy	fuzzy	ADJ
fuelectenerg-13528	83	22	ahp	ahp	NOUN
fuelectenerg-13528	83	23	,	,	PUNCT
fuelectenerg-13528	83	24	and	and	CCONJ
fuelectenerg-13528	83	25	a	a	DET
fuelectenerg-13528	83	26	feed	feed	NOUN
fuelectenerg-13528	83	27	-	-	PUNCT
fuelectenerg-13528	83	28	forward	forward	NOUN
fuelectenerg-13528	83	29	neural	neural	ADJ
fuelectenerg-13528	83	30	network	network	NOUN
fuelectenerg-13528	83	31	to	to	PART
fuelectenerg-13528	83	32	predict	predict	VERB
fuelectenerg-13528	83	33	heart	heart	NOUN
fuelectenerg-13528	83	34	disease	disease	NOUN
fuelectenerg-13528	83	35	[	[	X
fuelectenerg-13528	83	36	19	19	NUM
fuelectenerg-13528	83	37	]	]	PUNCT
fuelectenerg-13528	83	38	.	.	PUNCT
fuelectenerg-13528	84	1	with	with	ADP
fuelectenerg-13528	84	2	an	an	DET
fuelectenerg-13528	84	3	accuracy	accuracy	NOUN
fuelectenerg-13528	84	4	of	of	ADP
fuelectenerg-13528	84	5	83	83	NUM
fuelectenerg-13528	84	6	%	%	NOUN
fuelectenerg-13528	84	7	,	,	PUNCT
fuelectenerg-13528	84	8	the	the	DET
fuelectenerg-13528	84	9	model	model	NOUN
fuelectenerg-13528	84	10	surpasses	surpass	VERB
fuelectenerg-13528	84	11	existing	exist	VERB
fuelectenerg-13528	84	12	models	model	NOUN
fuelectenerg-13528	84	13	in	in	ADP
fuelectenerg-13528	84	14	both	both	DET
fuelectenerg-13528	84	15	prediction	prediction	NOUN
fuelectenerg-13528	84	16	accuracy	accuracy	NOUN
fuelectenerg-13528	84	17	and	and	CCONJ
fuelectenerg-13528	84	18	processing	processing	NOUN
fuelectenerg-13528	84	19	speed	speed	NOUN
fuelectenerg-13528	84	20	.	.	PUNCT
fuelectenerg-13528	85	1	t.	t.	PROPN
fuelectenerg-13528	85	2	kasbe	kasbe	PROPN
fuelectenerg-13528	85	3	and	and	CCONJ
fuelectenerg-13528	85	4	r.	r.	PROPN
fuelectenerg-13528	85	5	s.	s.	PROPN
fuelectenerg-13528	85	6	pippal	pippal	PROPN
fuelectenerg-13528	86	1	[	[	X
fuelectenerg-13528	86	2	20	20	NUM
fuelectenerg-13528	86	3	]	]	PUNCT
fuelectenerg-13528	86	4	proposed	propose	VERB
fuelectenerg-13528	86	5	a	a	DET
fuelectenerg-13528	86	6	method	method	NOUN
fuelectenerg-13528	86	7	of	of	ADP
fuelectenerg-13528	86	8	handling	handling	NOUN
fuelectenerg-13528	86	9	of	of	ADP
fuelectenerg-13528	86	10	patient	patient	ADJ
fuelectenerg-13528	86	11	data	datum	NOUN
fuelectenerg-13528	86	12	is	be	AUX
fuelectenerg-13528	86	13	unresolved	unresolved	ADJ
fuelectenerg-13528	86	14	designed	design	VERB
fuelectenerg-13528	86	15	for	for	ADP
fuelectenerg-13528	86	16	diagnosing	diagnose	VERB
fuelectenerg-13528	86	17	cvd	cvd	PROPN
fuelectenerg-13528	86	18	.	.	PUNCT
fuelectenerg-13528	87	1	the	the	DET
fuelectenerg-13528	87	2	process	process	NOUN
fuelectenerg-13528	87	3	involves	involve	VERB
fuelectenerg-13528	87	4	fuzzification	fuzzification	NOUN
fuelectenerg-13528	87	5	,	,	PUNCT
fuelectenerg-13528	87	6	rule	rule	NOUN
fuelectenerg-13528	87	7	base	base	NOUN
fuelectenerg-13528	87	8	,	,	PUNCT
fuelectenerg-13528	87	9	and	and	CCONJ
fuelectenerg-13528	87	10	de	de	NOUN
fuelectenerg-13528	87	11	-	-	NOUN
fuelectenerg-13528	87	12	fuzzification	fuzzification	NOUN
fuelectenerg-13528	87	13	,	,	PUNCT
fuelectenerg-13528	87	14	implemented	implement	VERB
fuelectenerg-13528	87	15	using	use	VERB
fuelectenerg-13528	87	16	matlab	matlab	PROPN
fuelectenerg-13528	87	17	.	.	PUNCT
fuelectenerg-13528	88	1	testing	testing	NOUN
fuelectenerg-13528	88	2	shows	show	VERB
fuelectenerg-13528	88	3	the	the	DET
fuelectenerg-13528	88	4	system	system	NOUN
fuelectenerg-13528	88	5	achieves	achieve	VERB
fuelectenerg-13528	88	6	93.33	93.33	NUM
fuelectenerg-13528	88	7	%	%	NOUN
fuelectenerg-13528	88	8	accuracy	accuracy	NOUN
fuelectenerg-13528	88	9	,	,	PUNCT
fuelectenerg-13528	88	10	making	make	VERB
fuelectenerg-13528	88	11	it	it	PRON
fuelectenerg-13528	88	12	a	a	DET
fuelectenerg-13528	88	13	useful	useful	ADJ
fuelectenerg-13528	88	14	instrument	instrument	NOUN
fuelectenerg-13528	88	15	for	for	ADP
fuelectenerg-13528	88	16	medical	medical	ADJ
fuelectenerg-13528	88	17	practitioners	practitioner	NOUN
fuelectenerg-13528	88	18	in	in	ADP
fuelectenerg-13528	88	19	diagnosing	diagnose	VERB
fuelectenerg-13528	88	20	cvd	cvd	PROPN
fuelectenerg-13528	88	21	.	.	PUNCT
fuelectenerg-13528	89	1	this	this	PRON
fuelectenerg-13528	89	2	inspires	inspire	VERB
fuelectenerg-13528	89	3	our	our	PRON
fuelectenerg-13528	89	4	study	study	NOUN
fuelectenerg-13528	89	5	to	to	PART
fuelectenerg-13528	89	6	introduce	introduce	VERB
fuelectenerg-13528	89	7	a	a	DET
fuelectenerg-13528	89	8	novel	novel	ADJ
fuelectenerg-13528	89	9	approach	approach	NOUN
fuelectenerg-13528	89	10	that	that	PRON
fuelectenerg-13528	89	11	builds	build	VERB
fuelectenerg-13528	89	12	upon	upon	SCONJ
fuelectenerg-13528	89	13	the	the	DET
fuelectenerg-13528	89	14	rapid	rapid	ADJ
fuelectenerg-13528	89	15	advancements	advancement	NOUN
fuelectenerg-13528	89	16	in	in	ADP
fuelectenerg-13528	89	17	ml	ml	NOUN
fuelectenerg-13528	89	18	and	and	CCONJ
fuelectenerg-13528	89	19	feature	feature	NOUN
fuelectenerg-13528	89	20	selection	selection	NOUN
fuelectenerg-13528	89	21	methods	method	NOUN
fuelectenerg-13528	89	22	for	for	ADP
fuelectenerg-13528	89	23	cvd	cvd	PROPN
fuelectenerg-13528	89	24	prediction	prediction	NOUN
fuelectenerg-13528	89	25	.	.	PUNCT
fuelectenerg-13528	90	1	by	by	ADP
fuelectenerg-13528	90	2	utilizing	utilize	VERB
fuelectenerg-13528	90	3	ml	ml	NOUN
fuelectenerg-13528	90	4	models	model	NOUN
fuelectenerg-13528	90	5	,	,	PUNCT
fuelectenerg-13528	90	6	bio	bio	ADJ
fuelectenerg-13528	90	7	-	-	PUNCT
fuelectenerg-13528	90	8	inspired	inspire	VERB
fuelectenerg-13528	90	9	algorithms	algorithm	NOUN
fuelectenerg-13528	90	10	,	,	PUNCT
fuelectenerg-13528	90	11	and	and	CCONJ
fuelectenerg-13528	90	12	refined	refined	ADJ
fuelectenerg-13528	90	13	datasets	dataset	NOUN
fuelectenerg-13528	90	14	,	,	PUNCT
fuelectenerg-13528	90	15	significant	significant	ADJ
fuelectenerg-13528	90	16	progress	progress	NOUN
fuelectenerg-13528	90	17	in	in	ADP
fuelectenerg-13528	90	18	accuracy	accuracy	NOUN
fuelectenerg-13528	90	19	has	have	AUX
fuelectenerg-13528	90	20	been	be	AUX
fuelectenerg-13528	90	21	achieved	achieve	VERB
fuelectenerg-13528	90	22	,	,	PUNCT
fuelectenerg-13528	90	23	providing	provide	VERB
fuelectenerg-13528	90	24	key	key	ADJ
fuelectenerg-13528	90	25	insights	insight	NOUN
fuelectenerg-13528	90	26	for	for	ADP
fuelectenerg-13528	90	27	creating	create	VERB
fuelectenerg-13528	90	28	more	more	ADV
fuelectenerg-13528	90	29	accurate	accurate	ADJ
fuelectenerg-13528	90	30	,	,	PUNCT
fuelectenerg-13528	90	31	efficient	efficient	ADJ
fuelectenerg-13528	90	32	,	,	PUNCT
fuelectenerg-13528	90	33	and	and	CCONJ
fuelectenerg-13528	90	34	scalable	scalable	ADJ
fuelectenerg-13528	90	35	diagnostic	diagnostic	ADJ
fuelectenerg-13528	90	36	systems	system	NOUN
fuelectenerg-13528	90	37	.	.	PUNCT
fuelectenerg-13528	91	1	3	3	X
fuelectenerg-13528	91	2	.	.	X
fuelectenerg-13528	91	3	implementation	implementation	NOUN
fuelectenerg-13528	91	4	details	detail	NOUN
fuelectenerg-13528	91	5	3.1	3.1	NUM
fuelectenerg-13528	91	6	.	.	PUNCT
fuelectenerg-13528	92	1	dataset	dataset	ADJ
fuelectenerg-13528	92	2	description	description	NOUN
fuelectenerg-13528	92	3	for	for	ADP
fuelectenerg-13528	92	4	our	our	PRON
fuelectenerg-13528	92	5	work	work	NOUN
fuelectenerg-13528	93	1	,	,	PUNCT
fuelectenerg-13528	93	2	we	we	PRON
fuelectenerg-13528	93	3	used	use	VERB
fuelectenerg-13528	93	4	two	two	NUM
fuelectenerg-13528	93	5	datasets	dataset	NOUN
fuelectenerg-13528	93	6	:	:	PUNCT
fuelectenerg-13528	93	7	cvd	cvd	PROPN
fuelectenerg-13528	93	8	and	and	CCONJ
fuelectenerg-13528	93	9	the	the	DET
fuelectenerg-13528	93	10	framingham	framingham	PROPN
fuelectenerg-13528	93	11	dataset	dataset	PROPN
fuelectenerg-13528	93	12	.	.	PUNCT
fuelectenerg-13528	94	1	the	the	DET
fuelectenerg-13528	94	2	cvd	cvd	PROPN
fuelectenerg-13528	94	3	dataset	dataset	VERB
fuelectenerg-13528	94	4	comprises	comprise	VERB
fuelectenerg-13528	94	5	12	12	NUM
fuelectenerg-13528	94	6	columns	column	NOUN
fuelectenerg-13528	94	7	(	(	PUNCT
fuelectenerg-13528	94	8	11	11	NUM
fuelectenerg-13528	94	9	attributes	attribute	NOUN
fuelectenerg-13528	94	10	and	and	CCONJ
fuelectenerg-13528	94	11	one	one	NUM
fuelectenerg-13528	94	12	target	target	NOUN
fuelectenerg-13528	94	13	variable	variable	NOUN
fuelectenerg-13528	94	14	)	)	PUNCT
fuelectenerg-13528	94	15	and	and	CCONJ
fuelectenerg-13528	94	16	1,189	1,189	NUM
fuelectenerg-13528	94	17	entries	entry	NOUN
fuelectenerg-13528	94	18	,	,	PUNCT
fuelectenerg-13528	94	19	curated	curate	VERB
fuelectenerg-13528	94	20	by	by	ADP
fuelectenerg-13528	94	21	integrating	integrate	VERB
fuelectenerg-13528	94	22	five	five	NUM
fuelectenerg-13528	94	23	cvd	cvd	PROPN
fuelectenerg-13528	94	24	datasets	dataset	NOUN
fuelectenerg-13528	94	25	(	(	PUNCT
fuelectenerg-13528	94	26	statlog	statlog	ADJ
fuelectenerg-13528	94	27	,	,	PUNCT
fuelectenerg-13528	94	28	long	long	ADJ
fuelectenerg-13528	94	29	beach	beach	NOUN
fuelectenerg-13528	94	30	,	,	PUNCT
fuelectenerg-13528	94	31	va	va	NOUN
fuelectenerg-13528	94	32	;	;	PUNCT
fuelectenerg-13528	94	33	hungarian	hungarian	PROPN
fuelectenerg-13528	94	34	;	;	PUNCT
fuelectenerg-13528	94	35	cleveland	cleveland	PROPN
fuelectenerg-13528	94	36	;	;	PUNCT
fuelectenerg-13528	94	37	and	and	CCONJ
fuelectenerg-13528	94	38	switzerland	switzerland	PROPN
fuelectenerg-13528	94	39	)	)	PUNCT
fuelectenerg-13528	94	40	.	.	PUNCT
fuelectenerg-13528	95	1	it	it	PRON
fuelectenerg-13528	95	2	aims	aim	VERB
fuelectenerg-13528	95	3	to	to	PART
fuelectenerg-13528	95	4	enhance	enhance	VERB
fuelectenerg-13528	95	5	ml	ml	ADP
fuelectenerg-13528	95	6	algorithms	algorithm	NOUN
fuelectenerg-13528	95	7	for	for	ADP
fuelectenerg-13528	95	8	computer	computer	NOUN
fuelectenerg-13528	95	9	-	-	PUNCT
fuelectenerg-13528	95	10	aided	aid	VERB
fuelectenerg-13528	95	11	diagnosis	diagnosis	NOUN
fuelectenerg-13528	95	12	(	(	PUNCT
fuelectenerg-13528	95	13	cad	cad	NOUN
fuelectenerg-13528	95	14	)	)	PUNCT
fuelectenerg-13528	95	15	by	by	ADP
fuelectenerg-13528	95	16	supporting	support	VERB
fuelectenerg-13528	95	17	clinical	clinical	ADJ
fuelectenerg-13528	95	18	diagnosis	diagnosis	NOUN
fuelectenerg-13528	95	19	and	and	CCONJ
fuelectenerg-13528	95	20	early	early	ADJ
fuelectenerg-13528	95	21	treatment	treatment	NOUN
fuelectenerg-13528	95	22	.	.	PUNCT
fuelectenerg-13528	96	1	table	table	NOUN
fuelectenerg-13528	96	2	1	1	NUM
fuelectenerg-13528	96	3	and	and	CCONJ
fuelectenerg-13528	96	4	fig	fig	NOUN
fuelectenerg-13528	96	5	.	.	PUNCT
fuelectenerg-13528	97	1	1	1	NUM
fuelectenerg-13528	97	2	below	below	ADV
fuelectenerg-13528	97	3	gives	give	VERB
fuelectenerg-13528	97	4	the	the	DET
fuelectenerg-13528	97	5	complete	complete	ADJ
fuelectenerg-13528	97	6	description	description	NOUN
fuelectenerg-13528	97	7	of	of	ADP
fuelectenerg-13528	97	8	the	the	DET
fuelectenerg-13528	97	9	cvd	cvd	PROPN
fuelectenerg-13528	97	10	.	.	PUNCT
fuelectenerg-13528	98	1	the	the	DET
fuelectenerg-13528	98	2	cleveland	cleveland	PROPN
fuelectenerg-13528	98	3	dataset	dataset	PROPN
fuelectenerg-13528	98	4	contains	contain	VERB
fuelectenerg-13528	98	5	303	303	NUM
fuelectenerg-13528	98	6	rows	row	NOUN
fuelectenerg-13528	98	7	and	and	CCONJ
fuelectenerg-13528	98	8	12	12	NUM
fuelectenerg-13528	98	9	columns	column	NOUN
fuelectenerg-13528	98	10	.	.	PUNCT
fuelectenerg-13528	99	1	the	the	DET
fuelectenerg-13528	99	2	hungarian	hungarian	ADJ
fuelectenerg-13528	99	3	dataset	dataset	NOUN
fuelectenerg-13528	99	4	contains	contain	VERB
fuelectenerg-13528	99	5	294	294	NUM
fuelectenerg-13528	99	6	rows	row	NOUN
fuelectenerg-13528	99	7	and	and	CCONJ
fuelectenerg-13528	99	8	12	12	NUM
fuelectenerg-13528	99	9	columns	column	NOUN
fuelectenerg-13528	99	10	.	.	PUNCT
fuelectenerg-13528	100	1	the	the	DET
fuelectenerg-13528	100	2	hungarian	hungarian	ADJ
fuelectenerg-13528	100	3	dataset	dataset	NOUN
fuelectenerg-13528	100	4	contains	contain	VERB
fuelectenerg-13528	100	5	294	294	NUM
fuelectenerg-13528	100	6	rows	row	NOUN
fuelectenerg-13528	100	7	and	and	CCONJ
fuelectenerg-13528	100	8	12	12	NUM
fuelectenerg-13528	100	9	columns	column	NOUN
fuelectenerg-13528	100	10	.	.	PUNCT
fuelectenerg-13528	101	1	the	the	DET
fuelectenerg-13528	101	2	switzerland	switzerland	PROPN
fuelectenerg-13528	101	3	dataset	dataset	PROPN
fuelectenerg-13528	101	4	contains	contain	VERB
fuelectenerg-13528	101	5	123	123	NUM
fuelectenerg-13528	101	6	rows	row	NOUN
fuelectenerg-13528	101	7	and	and	CCONJ
fuelectenerg-13528	101	8	12	12	NUM
fuelectenerg-13528	101	9	columns	column	NOUN
fuelectenerg-13528	101	10	.	.	PUNCT
fuelectenerg-13528	102	1	the	the	DET
fuelectenerg-13528	102	2	long	long	ADJ
fuelectenerg-13528	102	3	beach	beach	NOUN
fuelectenerg-13528	102	4	dataset	dataset	NOUN
fuelectenerg-13528	102	5	contains	contain	VERB
fuelectenerg-13528	102	6	200	200	NUM
fuelectenerg-13528	102	7	rows	row	NOUN
fuelectenerg-13528	102	8	and	and	CCONJ
fuelectenerg-13528	102	9	12	12	NUM
fuelectenerg-13528	102	10	columns	column	NOUN
fuelectenerg-13528	102	11	.	.	PUNCT
fuelectenerg-13528	103	1	the	the	DET
fuelectenerg-13528	103	2	statlog	statlog	PROPN
fuelectenerg-13528	103	3	dataset	dataset	NOUN
fuelectenerg-13528	103	4	contains	contain	VERB
fuelectenerg-13528	103	5	270	270	NUM
fuelectenerg-13528	103	6	rows	row	NOUN
fuelectenerg-13528	103	7	and	and	CCONJ
fuelectenerg-13528	103	8	12	12	NUM
fuelectenerg-13528	103	9	columns	column	NOUN
fuelectenerg-13528	103	10	.	.	PUNCT
fuelectenerg-13528	104	1	all	all	DET
fuelectenerg-13528	104	2	the	the	DET
fuelectenerg-13528	104	3	five	five	NUM
fuelectenerg-13528	104	4	datasets	dataset	NOUN
fuelectenerg-13528	104	5	are	be	AUX
fuelectenerg-13528	104	6	integrated	integrate	VERB
fuelectenerg-13528	104	7	and	and	CCONJ
fuelectenerg-13528	104	8	downloaded	download	VERB
fuelectenerg-13528	104	9	from	from	ADP
fuelectenerg-13528	104	10	ieee	ieee	NOUN
fuelectenerg-13528	104	11	data	datum	NOUN
fuelectenerg-13528	104	12	port	port	NOUN
fuelectenerg-13528	104	13	.	.	PUNCT
fuelectenerg-13528	105	1	optimizing	optimize	VERB
fuelectenerg-13528	105	2	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	105	3	disease	disease	NOUN
fuelectenerg-13528	105	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	105	5	:	:	PUNCT
fuelectenerg-13528	105	6	a	a	DET
fuelectenerg-13528	105	7	meta	meta	ADJ
fuelectenerg-13528	105	8	-	-	PUNCT
fuelectenerg-13528	105	9	heuristic	heuristic	ADJ
fuelectenerg-13528	105	10	and	and	CCONJ
fuelectenerg-13528	105	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	105	12	logic	logic	NOUN
fuelectenerg-13528	105	13	-	-	PUNCT
fuelectenerg-13528	105	14	based	base	VERB
fuelectenerg-13528	105	15	approach	approach	NOUN
fuelectenerg-13528	105	16	59	59	NUM
fuelectenerg-13528	105	17	table	table	NOUN
fuelectenerg-13528	105	18	1	1	NUM
fuelectenerg-13528	105	19	description	description	NOUN
fuelectenerg-13528	105	20	of	of	ADP
fuelectenerg-13528	105	21	the	the	DET
fuelectenerg-13528	105	22	cvd	cvd	PROPN
fuelectenerg-13528	105	23	dataset	dataset	PROPN
fuelectenerg-13528	105	24	attribute	attribute	NOUN
fuelectenerg-13528	105	25	description	description	NOUN
fuelectenerg-13528	105	26	data	data	NOUN
fuelectenerg-13528	105	27	type	type	NOUN
fuelectenerg-13528	105	28	age	age	NOUN
fuelectenerg-13528	105	29	patients	patient	NOUN
fuelectenerg-13528	105	30	’	'	PUNCT
fuelectenerg-13528	105	31	years	year	NOUN
fuelectenerg-13528	105	32	of	of	ADP
fuelectenerg-13528	105	33	age	age	NOUN
fuelectenerg-13528	105	34	numeric	numeric	ADJ
fuelectenerg-13528	105	35	gender	gender	NOUN
fuelectenerg-13528	105	36	gender	gender	NOUN
fuelectenerg-13528	105	37	of	of	ADP
fuelectenerg-13528	105	38	patient	patient	NOUN
fuelectenerg-13528	105	39	,	,	PUNCT
fuelectenerg-13528	105	40	1	1	NUM
fuelectenerg-13528	105	41	=	=	SYM
fuelectenerg-13528	105	42	male	male	NOUN
fuelectenerg-13528	105	43	,	,	PUNCT
fuelectenerg-13528	105	44	0=	0=	NUM
fuelectenerg-13528	105	45	female	female	NOUN
fuelectenerg-13528	105	46	;	;	PUNCT
fuelectenerg-13528	105	47	binary	binary	ADJ
fuelectenerg-13528	105	48	cp	cp	NUM
fuelectenerg-13528	105	49	types	type	NOUN
fuelectenerg-13528	105	50	of	of	ADP
fuelectenerg-13528	105	51	chest	chest	NOUN
fuelectenerg-13528	105	52	pain	pain	NOUN
fuelectenerg-13528	105	53	nominal	nominal	ADJ
fuelectenerg-13528	105	54	trestbp	trestbp	NOUN
fuelectenerg-13528	105	55	patient	patient	NOUN
fuelectenerg-13528	105	56	's	's	PART
fuelectenerg-13528	105	57	blood	blood	NOUN
fuelectenerg-13528	105	58	pressure	pressure	NOUN
fuelectenerg-13528	105	59	(	(	PUNCT
fuelectenerg-13528	105	60	measured	measure	VERB
fuelectenerg-13528	105	61	in	in	ADP
fuelectenerg-13528	105	62	mmhg	mmhg	PROPN
fuelectenerg-13528	105	63	)	)	PUNCT
fuelectenerg-13528	105	64	numeric	numeric	ADP
fuelectenerg-13528	105	65	chol	chol	NOUN
fuelectenerg-13528	105	66	fasting	fast	VERB
fuelectenerg-13528	105	67	blood	blood	NOUN
fuelectenerg-13528	105	68	glucose	glucose	NOUN
fuelectenerg-13528	105	69	level	level	NOUN
fuelectenerg-13528	105	70	of	of	ADP
fuelectenerg-13528	105	71	the	the	DET
fuelectenerg-13528	105	72	patient	patient	NOUN
fuelectenerg-13528	105	73	(	(	PUNCT
fuelectenerg-13528	105	74	measured	measure	VERB
fuelectenerg-13528	105	75	in	in	ADP
fuelectenerg-13528	105	76	mg	mg	PROPN
fuelectenerg-13528	105	77	/	/	SYM
fuelectenerg-13528	105	78	dl	dl	PROPN
fuelectenerg-13528	105	79	)	)	PUNCT
fuelectenerg-13528	105	80	numeric	numeric	ADP
fuelectenerg-13528	105	81	fbs	fbs	PROPN
fuelectenerg-13528	105	82	fasting	fast	VERB
fuelectenerg-13528	105	83	blood	blood	NOUN
fuelectenerg-13528	105	84	sugar	sugar	NOUN
fuelectenerg-13528	105	85	(	(	PUNCT
fuelectenerg-13528	105	86	fbs	fbs	PROPN
fuelectenerg-13528	105	87	)	)	PUNCT
fuelectenerg-13528	105	88	>	>	X
fuelectenerg-13528	106	1	120	120	NUM
fuelectenerg-13528	106	2	mg	mg	PROPN
fuelectenerg-13528	106	3	/	/	SYM
fuelectenerg-13528	106	4	dl	dl	PROPN
fuelectenerg-13528	106	5	(	(	PUNCT
fuelectenerg-13528	106	6	1	1	NUM
fuelectenerg-13528	106	7	=	=	SYM
fuelectenerg-13528	106	8	yes	yes	INTJ
fuelectenerg-13528	106	9	,	,	PUNCT
fuelectenerg-13528	106	10	0	0	NUM
fuelectenerg-13528	107	1	=	=	SYM
fuelectenerg-13528	107	2	no	no	NOUN
fuelectenerg-13528	107	3	)	)	PUNCT
fuelectenerg-13528	107	4	binary	binary	NOUN
fuelectenerg-13528	107	5	restecg	restecg	PROPN
fuelectenerg-13528	107	6	resting	rest	VERB
fuelectenerg-13528	107	7	electrocardiogram	electrocardiogram	PROPN
fuelectenerg-13528	107	8	(	(	PUNCT
fuelectenerg-13528	107	9	ecg	ecg	PROPN
fuelectenerg-13528	107	10	)	)	PUNCT
fuelectenerg-13528	107	11	nominal	nominal	ADJ
fuelectenerg-13528	107	12	thalach	thalach	NOUN
fuelectenerg-13528	107	13	maximum	maximum	ADJ
fuelectenerg-13528	107	14	heart	heart	NOUN
fuelectenerg-13528	107	15	rate	rate	NOUN
fuelectenerg-13528	107	16	(	(	PUNCT
fuelectenerg-13528	107	17	beats	beat	NOUN
fuelectenerg-13528	107	18	per	per	ADP
fuelectenerg-13528	107	19	minute	minute	NOUN
fuelectenerg-13528	107	20	)	)	PUNCT
fuelectenerg-13528	107	21	numeric	numeric	ADP
fuelectenerg-13528	107	22	exang	exang	PROPN
fuelectenerg-13528	107	23	1	1	NUM
fuelectenerg-13528	107	24	=	=	SYM
fuelectenerg-13528	107	25	present	present	ADJ
fuelectenerg-13528	107	26	;	;	PUNCT
fuelectenerg-13528	107	27	0	0	NUM
fuelectenerg-13528	107	28	=	=	SYM
fuelectenerg-13528	107	29	absence	absence	NOUN
fuelectenerg-13528	107	30	of	of	ADP
fuelectenerg-13528	107	31	exercise	exercise	NOUN
fuelectenerg-13528	107	32	-	-	PUNCT
fuelectenerg-13528	107	33	induced	induce	VERB
fuelectenerg-13528	107	34	angina	angina	NOUN
fuelectenerg-13528	107	35	binary	binary	PROPN
fuelectenerg-13528	107	36	oldpeak	oldpeak	NOUN
fuelectenerg-13528	107	37	exercise	exercise	NOUN
fuelectenerg-13528	107	38	-	-	PUNCT
fuelectenerg-13528	107	39	induced	induce	VERB
fuelectenerg-13528	107	40	st	st	NOUN
fuelectenerg-13528	107	41	depression	depression	NOUN
fuelectenerg-13528	107	42	in	in	ADP
fuelectenerg-13528	107	43	comparison	comparison	NOUN
fuelectenerg-13528	107	44	to	to	ADP
fuelectenerg-13528	107	45	resting	rest	VERB
fuelectenerg-13528	107	46	levels	level	NOUN
fuelectenerg-13528	107	47	numeric	numeric	ADP
fuelectenerg-13528	107	48	slope	slope	NOUN
fuelectenerg-13528	107	49	the	the	DET
fuelectenerg-13528	107	50	slope	slope	NOUN
fuelectenerg-13528	107	51	of	of	ADP
fuelectenerg-13528	107	52	peak	peak	NOUN
fuelectenerg-13528	107	53	exercise	exercise	NOUN
fuelectenerg-13528	107	54	nominal	nominal	ADJ
fuelectenerg-13528	107	55	target	target	NOUN
fuelectenerg-13528	107	56	1	1	NUM
fuelectenerg-13528	107	57	=	=	NOUN
fuelectenerg-13528	107	58	heart	heart	NOUN
fuelectenerg-13528	107	59	disease	disease	NOUN
fuelectenerg-13528	107	60	,	,	PUNCT
fuelectenerg-13528	107	61	0	0	NUM
fuelectenerg-13528	107	62	=	=	SYM
fuelectenerg-13528	107	63	normal	normal	ADJ
fuelectenerg-13528	107	64	binary	binary	NOUN
fuelectenerg-13528	107	65	the	the	DET
fuelectenerg-13528	107	66	second	second	ADJ
fuelectenerg-13528	107	67	dataset	dataset	NOUN
fuelectenerg-13528	107	68	which	which	PRON
fuelectenerg-13528	107	69	we	we	PRON
fuelectenerg-13528	107	70	have	have	AUX
fuelectenerg-13528	107	71	used	use	VERB
fuelectenerg-13528	107	72	for	for	ADP
fuelectenerg-13528	107	73	our	our	PRON
fuelectenerg-13528	107	74	dataset	dataset	NOUN
fuelectenerg-13528	107	75	is	be	AUX
fuelectenerg-13528	107	76	the	the	DET
fuelectenerg-13528	107	77	framingham	framingham	PROPN
fuelectenerg-13528	107	78	dataset	dataset	PROPN
fuelectenerg-13528	107	79	.	.	PUNCT
fuelectenerg-13528	108	1	it	it	PRON
fuelectenerg-13528	108	2	has	have	VERB
fuelectenerg-13528	108	3	16	16	NUM
fuelectenerg-13528	108	4	columns	column	NOUN
fuelectenerg-13528	108	5	(	(	PUNCT
fuelectenerg-13528	108	6	15	15	NUM
fuelectenerg-13528	108	7	attributes	attribute	NOUN
fuelectenerg-13528	108	8	and	and	CCONJ
fuelectenerg-13528	108	9	one	one	NUM
fuelectenerg-13528	108	10	target	target	NOUN
fuelectenerg-13528	108	11	variable	variable	NOUN
fuelectenerg-13528	108	12	)	)	PUNCT
fuelectenerg-13528	108	13	and	and	CCONJ
fuelectenerg-13528	108	14	a	a	DET
fuelectenerg-13528	108	15	total	total	NOUN
fuelectenerg-13528	108	16	of	of	ADP
fuelectenerg-13528	108	17	4240	4240	NUM
fuelectenerg-13528	108	18	occurrences	occurrence	NOUN
fuelectenerg-13528	108	19	.	.	PUNCT
fuelectenerg-13528	109	1	the	the	DET
fuelectenerg-13528	109	2	framingham	framingham	PROPN
fuelectenerg-13528	109	3	dataset	dataset	PROPN
fuelectenerg-13528	109	4	,	,	PUNCT
fuelectenerg-13528	109	5	which	which	PRON
fuelectenerg-13528	109	6	is	be	AUX
fuelectenerg-13528	109	7	available	available	ADJ
fuelectenerg-13528	109	8	on	on	ADP
fuelectenerg-13528	109	9	the	the	DET
fuelectenerg-13528	109	10	kaggle	kaggle	ADJ
fuelectenerg-13528	109	11	repository	repository	NOUN
fuelectenerg-13528	109	12	,	,	PUNCT
fuelectenerg-13528	109	13	was	be	AUX
fuelectenerg-13528	109	14	formed	form	VERB
fuelectenerg-13528	109	15	as	as	ADP
fuelectenerg-13528	109	16	part	part	NOUN
fuelectenerg-13528	109	17	of	of	ADP
fuelectenerg-13528	109	18	a	a	DET
fuelectenerg-13528	109	19	cvd	cvd	PROPN
fuelectenerg-13528	109	20	study	study	NOUN
fuelectenerg-13528	109	21	consisting	consist	VERB
fuelectenerg-13528	109	22	of	of	ADP
fuelectenerg-13528	109	23	the	the	DET
fuelectenerg-13528	109	24	people	people	NOUN
fuelectenerg-13528	109	25	of	of	ADP
fuelectenerg-13528	109	26	framingham	framingham	PROPN
fuelectenerg-13528	109	27	,	,	PUNCT
fuelectenerg-13528	109	28	massachusetts	massachusetts	PROPN
fuelectenerg-13528	109	29	.	.	PROPN
fuelectenerg-13528	109	30	table	table	NOUN
fuelectenerg-13528	109	31	2	2	NUM
fuelectenerg-13528	109	32	below	below	ADV
fuelectenerg-13528	109	33	shows	show	VERB
fuelectenerg-13528	109	34	the	the	DET
fuelectenerg-13528	109	35	complete	complete	ADJ
fuelectenerg-13528	109	36	description	description	NOUN
fuelectenerg-13528	109	37	of	of	ADP
fuelectenerg-13528	109	38	the	the	DET
fuelectenerg-13528	109	39	framingham	framingham	PROPN
fuelectenerg-13528	109	40	dataset	dataset	PROPN
fuelectenerg-13528	109	41	.	.	PUNCT
fuelectenerg-13528	110	1	table	table	NOUN
fuelectenerg-13528	110	2	2	2	NUM
fuelectenerg-13528	110	3	description	description	NOUN
fuelectenerg-13528	110	4	of	of	ADP
fuelectenerg-13528	110	5	the	the	DET
fuelectenerg-13528	110	6	framingham	framingham	PROPN
fuelectenerg-13528	110	7	dataset	dataset	PROPN
fuelectenerg-13528	110	8	fig	fig	PROPN
fuelectenerg-13528	110	9	.	.	PUNCT
fuelectenerg-13528	111	1	1	1	NUM
fuelectenerg-13528	111	2	distribution	distribution	NOUN
fuelectenerg-13528	111	3	of	of	ADP
fuelectenerg-13528	111	4	cvd	cvd	PROPN
fuelectenerg-13528	111	5	dataset	dataset	PROPN
fuelectenerg-13528	111	6	attribute	attribute	NOUN
fuelectenerg-13528	111	7	description	description	NOUN
fuelectenerg-13528	111	8	data	data	NOUN
fuelectenerg-13528	111	9	type	type	NOUN
fuelectenerg-13528	111	10	age	age	NOUN
fuelectenerg-13528	111	11	patient	patient	NOUN
fuelectenerg-13528	111	12	’s	’s	PART
fuelectenerg-13528	111	13	age	age	NOUN
fuelectenerg-13528	111	14	numeric	numeric	ADJ
fuelectenerg-13528	111	15	gender	gender	NOUN
fuelectenerg-13528	111	16	gender	gender	NOUN
fuelectenerg-13528	111	17	of	of	ADP
fuelectenerg-13528	111	18	patient	patient	NOUN
fuelectenerg-13528	111	19	,	,	PUNCT
fuelectenerg-13528	111	20	1	1	NUM
fuelectenerg-13528	111	21	=	=	SYM
fuelectenerg-13528	111	22	male	male	NOUN
fuelectenerg-13528	111	23	,	,	PUNCT
fuelectenerg-13528	111	24	0=	0=	NUM
fuelectenerg-13528	111	25	female	female	NOUN
fuelectenerg-13528	111	26	;	;	PUNCT
fuelectenerg-13528	111	27	binary	binary	ADJ
fuelectenerg-13528	111	28	education	education	NOUN
fuelectenerg-13528	111	29	types	type	NOUN
fuelectenerg-13528	111	30	of	of	ADP
fuelectenerg-13528	111	31	education	education	NOUN
fuelectenerg-13528	111	32	level	level	NOUN
fuelectenerg-13528	111	33	nominal	nominal	NOUN
fuelectenerg-13528	111	34	currentsmoker	currentsmoker	NOUN
fuelectenerg-13528	111	35	smoking	smoking	NOUN
fuelectenerg-13528	111	36	status	status	NOUN
fuelectenerg-13528	111	37	binary	binary	PROPN
fuelectenerg-13528	111	38	cigsperday	cigsperday	PROPN
fuelectenerg-13528	111	39	cigarettes	cigarette	NOUN
fuelectenerg-13528	111	40	smoked	smoke	VERB
fuelectenerg-13528	111	41	per	per	ADP
fuelectenerg-13528	111	42	day	day	NOUN
fuelectenerg-13528	111	43	numeric	numeric	ADJ
fuelectenerg-13528	111	44	bpmeds	bpmed	NOUN
fuelectenerg-13528	111	45	bp	bp	PROPN
fuelectenerg-13528	111	46	medication	medication	NOUN
fuelectenerg-13528	111	47	use	use	VERB
fuelectenerg-13528	111	48	binary	binary	ADJ
fuelectenerg-13528	111	49	prevalentstroke	prevalentstroke	NOUN
fuelectenerg-13528	111	50	history	history	NOUN
fuelectenerg-13528	111	51	of	of	ADP
fuelectenerg-13528	111	52	stroke	stroke	PROPN
fuelectenerg-13528	111	53	binary	binary	PROPN
fuelectenerg-13528	111	54	prevalenthyp	prevalenthyp	PROPN
fuelectenerg-13528	111	55	hypertension	hypertension	NOUN
fuelectenerg-13528	111	56	binary	binary	NOUN
fuelectenerg-13528	111	57	diabetes	diabetes	NOUN
fuelectenerg-13528	111	58	diabetes	diabete	VERB
fuelectenerg-13528	111	59	diagnosis	diagnosis	VERB
fuelectenerg-13528	111	60	binary	binary	NOUN
fuelectenerg-13528	111	61	totchol	totchol	NOUN
fuelectenerg-13528	111	62	total	total	ADJ
fuelectenerg-13528	111	63	cholesterol	cholesterol	NOUN
fuelectenerg-13528	111	64	level	level	NOUN
fuelectenerg-13528	111	65	(	(	PUNCT
fuelectenerg-13528	111	66	mg	mg	PROPN
fuelectenerg-13528	111	67	/	/	SYM
fuelectenerg-13528	111	68	dl	dl	NOUN
fuelectenerg-13528	111	69	)	)	PUNCT
fuelectenerg-13528	111	70	numeric	numeric	PROPN
fuelectenerg-13528	111	71	sysbp	sysbp	NOUN
fuelectenerg-13528	111	72	systolic	systolic	ADJ
fuelectenerg-13528	111	73	blood	blood	NOUN
fuelectenerg-13528	111	74	pressure	pressure	NOUN
fuelectenerg-13528	111	75	(	(	PUNCT
fuelectenerg-13528	111	76	mmhg	mmhg	NOUN
fuelectenerg-13528	111	77	)	)	PUNCT
fuelectenerg-13528	111	78	numeric	numeric	PROPN
fuelectenerg-13528	111	79	diabp	diabp	PROPN
fuelectenerg-13528	111	80	diastolic	diastolic	NOUN
fuelectenerg-13528	111	81	blood	blood	NOUN
fuelectenerg-13528	111	82	pressure	pressure	NOUN
fuelectenerg-13528	111	83	(	(	PUNCT
fuelectenerg-13528	111	84	mmhg	mmhg	NOUN
fuelectenerg-13528	111	85	)	)	PUNCT
fuelectenerg-13528	111	86	numeric	numeric	ADP
fuelectenerg-13528	111	87	bmi	bmi	PROPN
fuelectenerg-13528	111	88	body	body	PROPN
fuelectenerg-13528	111	89	mass	mass	PROPN
fuelectenerg-13528	111	90	index	index	NOUN
fuelectenerg-13528	111	91	(	(	PUNCT
fuelectenerg-13528	111	92	weight	weight	NOUN
fuelectenerg-13528	111	93	in	in	ADP
fuelectenerg-13528	111	94	kg	kg	PROPN
fuelectenerg-13528	111	95	/	/	SYM
fuelectenerg-13528	111	96	height	height	NOUN
fuelectenerg-13528	111	97	in	in	ADP
fuelectenerg-13528	111	98	m²	m²	PROPN
fuelectenerg-13528	111	99	)	)	PUNCT
fuelectenerg-13528	111	100	numeric	numeric	ADP
fuelectenerg-13528	111	101	heartrate	heartrate	NOUN
fuelectenerg-13528	111	102	heart	heart	NOUN
fuelectenerg-13528	111	103	rate	rate	NOUN
fuelectenerg-13528	111	104	numeric	numeric	ADJ
fuelectenerg-13528	111	105	glucose	glucose	NOUN
fuelectenerg-13528	111	106	glucose	glucose	NOUN
fuelectenerg-13528	111	107	level	level	NOUN
fuelectenerg-13528	111	108	(	(	PUNCT
fuelectenerg-13528	111	109	mg	mg	PROPN
fuelectenerg-13528	111	110	/	/	SYM
fuelectenerg-13528	111	111	dl	dl	NOUN
fuelectenerg-13528	111	112	)	)	PUNCT
fuelectenerg-13528	111	113	numeric	numeric	ADJ
fuelectenerg-13528	111	114	tenyearchd	tenyearchd	NOUN
fuelectenerg-13528	111	115	target	target	NOUN
fuelectenerg-13528	111	116	variable	variable	NOUN
fuelectenerg-13528	111	117	1	1	NUM
fuelectenerg-13528	111	118	=	=	NUM
fuelectenerg-13528	111	119	developed	develop	VERB
fuelectenerg-13528	111	120	coronary	coronary	ADJ
fuelectenerg-13528	111	121	heart	heart	NOUN
fuelectenerg-13528	111	122	disease	disease	NOUN
fuelectenerg-13528	111	123	within	within	ADP
fuelectenerg-13528	111	124	10	10	NUM
fuelectenerg-13528	111	125	years	year	NOUN
fuelectenerg-13528	111	126	,	,	PUNCT
fuelectenerg-13528	111	127	0	0	PUNCT
fuelectenerg-13528	112	1	=	=	SYM
fuelectenerg-13528	112	2	no	no	DET
fuelectenerg-13528	112	3	binary	binary	NOUN
fuelectenerg-13528	112	4	60	60	NUM
fuelectenerg-13528	112	5	g.	g.	PROPN
fuelectenerg-13528	112	6	gayatri	gayatri	PROPN
fuelectenerg-13528	112	7	lenka	lenka	PROPN
fuelectenerg-13528	112	8	,	,	PUNCT
fuelectenerg-13528	112	9	p.	p.	PROPN
fuelectenerg-13528	112	10	mishra	mishra	PROPN
fuelectenerg-13528	112	11	,	,	PUNCT
fuelectenerg-13528	112	12	j.	j.	PROPN
fuelectenerg-13528	112	13	routray	routray	PROPN
fuelectenerg-13528	112	14	,	,	PUNCT
fuelectenerg-13528	112	15	m.	m.	NOUN
fuelectenerg-13528	112	16	kandpal	kandpal	PROPN
fuelectenerg-13528	112	17	,	,	PUNCT
fuelectenerg-13528	112	18	r.	r.	PROPN
fuelectenerg-13528	112	19	kumar	kumar	PROPN
fuelectenerg-13528	112	20	dash	dash	PROPN
fuelectenerg-13528	112	21	,	,	PUNCT
fuelectenerg-13528	112	22	d.	d.	PROPN
fuelectenerg-13528	112	23	mishra	mishra	PROPN
fuelectenerg-13528	112	24	3.2	3.2	PROPN
fuelectenerg-13528	112	25	.	.	PUNCT
fuelectenerg-13528	113	1	proposed	propose	VERB
fuelectenerg-13528	113	2	methodology	methodology	NOUN
fuelectenerg-13528	113	3	fig	fig	NOUN
fuelectenerg-13528	113	4	.	.	PUNCT
fuelectenerg-13528	114	1	2	2	NUM
fuelectenerg-13528	114	2	proposed	propose	VERB
fuelectenerg-13528	114	3	model	model	NOUN
fuelectenerg-13528	114	4	as	as	SCONJ
fuelectenerg-13528	114	5	shown	show	VERB
fuelectenerg-13528	114	6	in	in	ADP
fuelectenerg-13528	114	7	fig	fig	NOUN
fuelectenerg-13528	114	8	.	.	PUNCT
fuelectenerg-13528	115	1	2	2	NUM
fuelectenerg-13528	115	2	above	above	ADV
fuelectenerg-13528	115	3	,	,	PUNCT
fuelectenerg-13528	115	4	there	there	PRON
fuelectenerg-13528	115	5	are	be	VERB
fuelectenerg-13528	115	6	two	two	NUM
fuelectenerg-13528	115	7	distinct	distinct	ADJ
fuelectenerg-13528	115	8	datasets	dataset	NOUN
fuelectenerg-13528	115	9	used	use	VERB
fuelectenerg-13528	115	10	.	.	PUNCT
fuelectenerg-13528	116	1	one	one	NUM
fuelectenerg-13528	116	2	dataset	dataset	NOUN
fuelectenerg-13528	116	3	is	be	AUX
fuelectenerg-13528	116	4	collected	collect	VERB
fuelectenerg-13528	116	5	from	from	ADP
fuelectenerg-13528	116	6	“	"	PUNCT
fuelectenerg-13528	116	7	ieee	ieee	NOUN
fuelectenerg-13528	116	8	data	datum	NOUN
fuelectenerg-13528	116	9	port	port	NOUN
fuelectenerg-13528	116	10	”	"	PUNCT
fuelectenerg-13528	116	11	i.e.	i.e.	X
fuelectenerg-13528	116	12	;	;	PUNCT
fuelectenerg-13528	116	13	cvd	cvd	PROPN
fuelectenerg-13528	116	14	dataset	dataset	PROPN
fuelectenerg-13528	116	15	,	,	PUNCT
fuelectenerg-13528	116	16	which	which	PRON
fuelectenerg-13528	116	17	has	have	VERB
fuelectenerg-13528	116	18	a	a	DET
fuelectenerg-13528	116	19	total	total	NOUN
fuelectenerg-13528	116	20	of	of	ADP
fuelectenerg-13528	116	21	1190	1190	NUM
fuelectenerg-13528	116	22	occurrences	occurrence	NOUN
fuelectenerg-13528	116	23	.	.	PUNCT
fuelectenerg-13528	117	1	another	another	DET
fuelectenerg-13528	117	2	dataset	dataset	NOUN
fuelectenerg-13528	117	3	is	be	AUX
fuelectenerg-13528	117	4	framingham	framingham	PROPN
fuelectenerg-13528	117	5	,	,	PUNCT
fuelectenerg-13528	117	6	which	which	PRON
fuelectenerg-13528	117	7	is	be	AUX
fuelectenerg-13528	117	8	collected	collect	VERB
fuelectenerg-13528	117	9	from	from	ADP
fuelectenerg-13528	117	10	the	the	DET
fuelectenerg-13528	117	11	kaggle	kaggle	ADJ
fuelectenerg-13528	117	12	repository	repository	NOUN
fuelectenerg-13528	117	13	,	,	PUNCT
fuelectenerg-13528	117	14	having	have	VERB
fuelectenerg-13528	117	15	a	a	DET
fuelectenerg-13528	117	16	total	total	NOUN
fuelectenerg-13528	117	17	of	of	ADP
fuelectenerg-13528	117	18	4520	4520	NUM
fuelectenerg-13528	117	19	occurrences	occurrence	NOUN
fuelectenerg-13528	117	20	.	.	PUNCT
fuelectenerg-13528	118	1	after	after	ADP
fuelectenerg-13528	118	2	collecting	collect	VERB
fuelectenerg-13528	118	3	the	the	DET
fuelectenerg-13528	118	4	data	datum	NOUN
fuelectenerg-13528	118	5	,	,	PUNCT
fuelectenerg-13528	118	6	data	datum	NOUN
fuelectenerg-13528	118	7	pre	pre	ADJ
fuelectenerg-13528	118	8	-	-	ADJ
fuelectenerg-13528	118	9	processing	processing	NOUN
fuelectenerg-13528	118	10	was	be	AUX
fuelectenerg-13528	118	11	done	do	VERB
fuelectenerg-13528	118	12	.	.	PUNCT
fuelectenerg-13528	119	1	there	there	PRON
fuelectenerg-13528	119	2	are	be	VERB
fuelectenerg-13528	119	3	various	various	ADJ
fuelectenerg-13528	119	4	methods	method	NOUN
fuelectenerg-13528	119	5	used	use	VERB
fuelectenerg-13528	119	6	in	in	ADP
fuelectenerg-13528	119	7	data	datum	NOUN
fuelectenerg-13528	119	8	pre	pre	ADJ
fuelectenerg-13528	119	9	-	-	ADJ
fuelectenerg-13528	119	10	processing	processing	ADJ
fuelectenerg-13528	119	11	,	,	PUNCT
fuelectenerg-13528	119	12	i.e.	i.e.	X
fuelectenerg-13528	119	13	normalization	normalization	NOUN
fuelectenerg-13528	119	14	,	,	PUNCT
fuelectenerg-13528	119	15	standardization	standardization	NOUN
fuelectenerg-13528	119	16	,	,	PUNCT
fuelectenerg-13528	119	17	one	one	NUM
fuelectenerg-13528	119	18	hot	hot	ADJ
fuelectenerg-13528	119	19	encoding	encoding	NOUN
fuelectenerg-13528	119	20	,	,	PUNCT
fuelectenerg-13528	119	21	z	z	NOUN
fuelectenerg-13528	119	22	-	-	PUNCT
fuelectenerg-13528	119	23	score	score	NOUN
fuelectenerg-13528	119	24	normalization	normalization	NOUN
fuelectenerg-13528	119	25	and	and	CCONJ
fuelectenerg-13528	119	26	smote	smote	ADJ
fuelectenerg-13528	119	27	(	(	PUNCT
fuelectenerg-13528	119	28	synthetic	synthetic	ADJ
fuelectenerg-13528	119	29	minority	minority	NOUN
fuelectenerg-13528	119	30	oversampling	oversample	VERB
fuelectenerg-13528	119	31	technique	technique	NOUN
fuelectenerg-13528	119	32	)	)	PUNCT
fuelectenerg-13528	119	33	.	.	PUNCT
fuelectenerg-13528	120	1	then	then	ADV
fuelectenerg-13528	120	2	,	,	PUNCT
fuelectenerg-13528	120	3	a	a	DET
fuelectenerg-13528	120	4	meta	meta	ADJ
fuelectenerg-13528	120	5	-	-	PUNCT
fuelectenerg-13528	120	6	heuristic	heuristic	ADJ
fuelectenerg-13528	120	7	algorithm	algorithm	NOUN
fuelectenerg-13528	120	8	is	be	AUX
fuelectenerg-13528	120	9	used	use	VERB
fuelectenerg-13528	120	10	for	for	ADP
fuelectenerg-13528	120	11	feature	feature	NOUN
fuelectenerg-13528	120	12	selection	selection	NOUN
fuelectenerg-13528	120	13	,	,	PUNCT
fuelectenerg-13528	120	14	which	which	PRON
fuelectenerg-13528	120	15	is	be	AUX
fuelectenerg-13528	120	16	applied	apply	VERB
fuelectenerg-13528	120	17	on	on	ADP
fuelectenerg-13528	120	18	each	each	DET
fuelectenerg-13528	120	19	dataset	dataset	NOUN
fuelectenerg-13528	120	20	.	.	PUNCT
fuelectenerg-13528	121	1	there	there	PRON
fuelectenerg-13528	121	2	are	be	VERB
fuelectenerg-13528	121	3	three	three	NUM
fuelectenerg-13528	121	4	different	different	ADJ
fuelectenerg-13528	121	5	meta	meta	ADJ
fuelectenerg-13528	121	6	-	-	PUNCT
fuelectenerg-13528	121	7	heuristic	heuristic	ADJ
fuelectenerg-13528	121	8	algorithms	algorithm	NOUN
fuelectenerg-13528	121	9	used	use	VERB
fuelectenerg-13528	121	10	in	in	ADP
fuelectenerg-13528	121	11	this	this	DET
fuelectenerg-13528	121	12	model	model	NOUN
fuelectenerg-13528	121	13	,	,	PUNCT
fuelectenerg-13528	121	14	i.e.	i.e.	X
fuelectenerg-13528	121	15	csa	csa	PROPN
fuelectenerg-13528	121	16	,	,	PUNCT
fuelectenerg-13528	121	17	ga	ga	PROPN
fuelectenerg-13528	121	18	and	and	CCONJ
fuelectenerg-13528	121	19	pso	pso	NOUN
fuelectenerg-13528	121	20	.	.	PUNCT
fuelectenerg-13528	122	1	after	after	ADP
fuelectenerg-13528	122	2	that	that	PRON
fuelectenerg-13528	122	3	,	,	PUNCT
fuelectenerg-13528	122	4	the	the	DET
fuelectenerg-13528	122	5	datasets	dataset	NOUN
fuelectenerg-13528	122	6	are	be	AUX
fuelectenerg-13528	122	7	divided	divide	VERB
fuelectenerg-13528	122	8	into	into	ADP
fuelectenerg-13528	122	9	two	two	NUM
fuelectenerg-13528	122	10	partstraining	partstraine	VERB
fuelectenerg-13528	122	11	data	datum	NOUN
fuelectenerg-13528	122	12	and	and	CCONJ
fuelectenerg-13528	122	13	testing	testing	NOUN
fuelectenerg-13528	122	14	data	datum	NOUN
fuelectenerg-13528	122	15	.	.	PUNCT
fuelectenerg-13528	123	1	the	the	DET
fuelectenerg-13528	123	2	training	training	NOUN
fuelectenerg-13528	123	3	data	datum	NOUN
fuelectenerg-13528	123	4	is	be	AUX
fuelectenerg-13528	123	5	used	use	VERB
fuelectenerg-13528	123	6	to	to	PART
fuelectenerg-13528	123	7	train	train	VERB
fuelectenerg-13528	123	8	different	different	ADJ
fuelectenerg-13528	123	9	classifiers	classifier	NOUN
fuelectenerg-13528	123	10	.	.	PUNCT
fuelectenerg-13528	124	1	the	the	DET
fuelectenerg-13528	124	2	classifiers	classifier	NOUN
fuelectenerg-13528	124	3	like	like	VERB
fuelectenerg-13528	124	4	rf	rf	NOUN
fuelectenerg-13528	124	5	,	,	PUNCT
fuelectenerg-13528	124	6	dt	dt	NOUN
fuelectenerg-13528	124	7	,	,	PUNCT
fuelectenerg-13528	124	8	svm	svm	PROPN
fuelectenerg-13528	124	9	,	,	PUNCT
fuelectenerg-13528	124	10	knn	knn	PROPN
fuelectenerg-13528	124	11	and	and	CCONJ
fuelectenerg-13528	124	12	nb	nb	PROPN
fuelectenerg-13528	124	13	are	be	AUX
fuelectenerg-13528	124	14	used	use	VERB
fuelectenerg-13528	124	15	in	in	ADP
fuelectenerg-13528	124	16	this	this	DET
fuelectenerg-13528	124	17	model	model	NOUN
fuelectenerg-13528	124	18	.	.	PUNCT
fuelectenerg-13528	125	1	after	after	ADP
fuelectenerg-13528	125	2	training	train	VERB
fuelectenerg-13528	125	3	the	the	DET
fuelectenerg-13528	125	4	model	model	NOUN
fuelectenerg-13528	125	5	with	with	ADP
fuelectenerg-13528	125	6	classifiers	classifier	NOUN
fuelectenerg-13528	125	7	,	,	PUNCT
fuelectenerg-13528	125	8	the	the	DET
fuelectenerg-13528	125	9	testing	testing	NOUN
fuelectenerg-13528	125	10	data	datum	NOUN
fuelectenerg-13528	125	11	is	be	AUX
fuelectenerg-13528	125	12	used	use	VERB
fuelectenerg-13528	125	13	to	to	PART
fuelectenerg-13528	125	14	test	test	VERB
fuelectenerg-13528	125	15	the	the	DET
fuelectenerg-13528	125	16	model	model	NOUN
fuelectenerg-13528	125	17	and	and	CCONJ
fuelectenerg-13528	125	18	find	find	VERB
fuelectenerg-13528	125	19	the	the	DET
fuelectenerg-13528	125	20	performance	performance	NOUN
fuelectenerg-13528	125	21	evaluation	evaluation	NOUN
fuelectenerg-13528	125	22	metrics	metric	NOUN
fuelectenerg-13528	125	23	like	like	ADP
fuelectenerg-13528	125	24	accuracy	accuracy	NOUN
fuelectenerg-13528	125	25	,	,	PUNCT
fuelectenerg-13528	125	26	precision	precision	NOUN
fuelectenerg-13528	125	27	,	,	PUNCT
fuelectenerg-13528	125	28	recall	recall	NOUN
fuelectenerg-13528	125	29	and	and	CCONJ
fuelectenerg-13528	125	30	f1	f1	NOUN
fuelectenerg-13528	125	31	-	-	PUNCT
fuelectenerg-13528	125	32	score	score	NOUN
fuelectenerg-13528	125	33	.	.	PUNCT
fuelectenerg-13528	126	1	then	then	ADV
fuelectenerg-13528	126	2	,	,	PUNCT
fuelectenerg-13528	126	3	the	the	DET
fuelectenerg-13528	126	4	model	model	NOUN
fuelectenerg-13528	126	5	that	that	PRON
fuelectenerg-13528	126	6	achieves	achieve	VERB
fuelectenerg-13528	126	7	the	the	DET
fuelectenerg-13528	126	8	highest	high	ADJ
fuelectenerg-13528	126	9	accuracy	accuracy	NOUN
fuelectenerg-13528	126	10	is	be	AUX
fuelectenerg-13528	126	11	selected	select	VERB
fuelectenerg-13528	126	12	as	as	ADP
fuelectenerg-13528	126	13	the	the	DET
fuelectenerg-13528	126	14	best	good	ADJ
fuelectenerg-13528	126	15	model	model	NOUN
fuelectenerg-13528	126	16	for	for	ADP
fuelectenerg-13528	126	17	the	the	DET
fuelectenerg-13528	126	18	cvd	cvd	PROPN
fuelectenerg-13528	126	19	prediction	prediction	NOUN
fuelectenerg-13528	126	20	and	and	CCONJ
fuelectenerg-13528	126	21	is	be	AUX
fuelectenerg-13528	126	22	passed	pass	VERB
fuelectenerg-13528	126	23	through	through	ADP
fuelectenerg-13528	126	24	fuzzy	fuzzy	ADJ
fuelectenerg-13528	126	25	logic	logic	NOUN
fuelectenerg-13528	126	26	rules	rule	NOUN
fuelectenerg-13528	126	27	for	for	ADP
fuelectenerg-13528	126	28	achieving	achieve	VERB
fuelectenerg-13528	126	29	much	much	ADV
fuelectenerg-13528	126	30	better	well	ADJ
fuelectenerg-13528	126	31	accuracy	accuracy	NOUN
fuelectenerg-13528	126	32	in	in	ADP
fuelectenerg-13528	126	33	predicting	predict	VERB
fuelectenerg-13528	126	34	healthy	healthy	ADJ
fuelectenerg-13528	126	35	and	and	CCONJ
fuelectenerg-13528	126	36	diseased	diseased	ADJ
fuelectenerg-13528	126	37	patients	patient	NOUN
fuelectenerg-13528	126	38	.	.	PUNCT
fuelectenerg-13528	127	1	3.3	3.3	NUM
fuelectenerg-13528	127	2	.	.	PUNCT
fuelectenerg-13528	128	1	data	datum	NOUN
fuelectenerg-13528	128	2	preprocessing	preprocesse	VERB
fuelectenerg-13528	128	3	the	the	DET
fuelectenerg-13528	128	4	dataset	dataset	NOUN
fuelectenerg-13528	128	5	is	be	AUX
fuelectenerg-13528	128	6	an	an	DET
fuelectenerg-13528	128	7	essential	essential	ADJ
fuelectenerg-13528	128	8	initial	initial	ADJ
fuelectenerg-13528	128	9	phase	phase	NOUN
fuelectenerg-13528	128	10	to	to	PART
fuelectenerg-13528	128	11	make	make	VERB
fuelectenerg-13528	128	12	sure	sure	ADJ
fuelectenerg-13528	128	13	that	that	SCONJ
fuelectenerg-13528	128	14	the	the	DET
fuelectenerg-13528	128	15	data	data	NOUN
fuelectenerg-13528	128	16	is	be	AUX
fuelectenerg-13528	128	17	clean	clean	ADJ
fuelectenerg-13528	128	18	,	,	PUNCT
fuelectenerg-13528	128	19	regular	regular	ADJ
fuelectenerg-13528	128	20	and	and	CCONJ
fuelectenerg-13528	128	21	prepared	prepare	VERB
fuelectenerg-13528	128	22	for	for	ADP
fuelectenerg-13528	128	23	evaluation	evaluation	NOUN
fuelectenerg-13528	128	24	on	on	ADP
fuelectenerg-13528	128	25	ml	ml	NOUN
fuelectenerg-13528	128	26	models	model	NOUN
fuelectenerg-13528	128	27	.	.	PUNCT
fuelectenerg-13528	129	1	this	this	DET
fuelectenerg-13528	129	2	process	process	NOUN
fuelectenerg-13528	129	3	ensures	ensure	VERB
fuelectenerg-13528	129	4	structured	structured	ADJ
fuelectenerg-13528	129	5	data	datum	NOUN
fuelectenerg-13528	129	6	,	,	PUNCT
fuelectenerg-13528	129	7	enhances	enhance	VERB
fuelectenerg-13528	129	8	model	model	NOUN
fuelectenerg-13528	129	9	performance	performance	NOUN
fuelectenerg-13528	129	10	and	and	CCONJ
fuelectenerg-13528	129	11	enables	enable	VERB
fuelectenerg-13528	129	12	reliable	reliable	ADJ
fuelectenerg-13528	129	13	,	,	PUNCT
fuelectenerg-13528	129	14	accurate	accurate	ADJ
fuelectenerg-13528	129	15	results	result	NOUN
fuelectenerg-13528	129	16	.	.	PUNCT
fuelectenerg-13528	130	1	optimizing	optimize	VERB
fuelectenerg-13528	130	2	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	130	3	disease	disease	NOUN
fuelectenerg-13528	130	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	130	5	:	:	PUNCT
fuelectenerg-13528	130	6	a	a	DET
fuelectenerg-13528	130	7	meta	meta	ADJ
fuelectenerg-13528	130	8	-	-	PUNCT
fuelectenerg-13528	130	9	heuristic	heuristic	ADJ
fuelectenerg-13528	130	10	and	and	CCONJ
fuelectenerg-13528	130	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	130	12	logic	logic	NOUN
fuelectenerg-13528	130	13	-	-	PUNCT
fuelectenerg-13528	130	14	based	base	VERB
fuelectenerg-13528	130	15	approach	approach	NOUN
fuelectenerg-13528	130	16	61	61	NUM
fuelectenerg-13528	130	17	the	the	DET
fuelectenerg-13528	130	18	datasets	dataset	NOUN
fuelectenerg-13528	130	19	for	for	ADP
fuelectenerg-13528	130	20	cvd	cvd	PROPN
fuelectenerg-13528	130	21	prediction	prediction	NOUN
fuelectenerg-13528	130	22	are	be	AUX
fuelectenerg-13528	130	23	subjected	subject	VERB
fuelectenerg-13528	130	24	to	to	ADP
fuelectenerg-13528	130	25	pre	pre	VERB
fuelectenerg-13528	130	26	-	-	ADJ
fuelectenerg-13528	130	27	processing	process	VERB
fuelectenerg-13528	130	28	and	and	CCONJ
fuelectenerg-13528	130	29	we	we	PRON
fuelectenerg-13528	130	30	used	use	VERB
fuelectenerg-13528	130	31	different	different	ADJ
fuelectenerg-13528	130	32	techniques	technique	NOUN
fuelectenerg-13528	130	33	like	like	ADP
fuelectenerg-13528	130	34	normalization	normalization	NOUN
fuelectenerg-13528	130	35	,	,	PUNCT
fuelectenerg-13528	130	36	standardization	standardization	NOUN
fuelectenerg-13528	130	37	,	,	PUNCT
fuelectenerg-13528	130	38	one	one	NUM
fuelectenerg-13528	130	39	-	-	PUNCT
fuelectenerg-13528	130	40	hot	hot	ADJ
fuelectenerg-13528	130	41	encoding	encoding	NOUN
fuelectenerg-13528	130	42	and	and	CCONJ
fuelectenerg-13528	130	43	outlier	outlier	NOUN
fuelectenerg-13528	130	44	filtering	filtering	NOUN
fuelectenerg-13528	130	45	.	.	PUNCT
fuelectenerg-13528	131	1	normalization	normalization	NOUN
fuelectenerg-13528	131	2	rescales	rescales	PROPN
fuelectenerg-13528	131	3	numerical	numerical	PROPN
fuelectenerg-13528	131	4	data	datum	NOUN
fuelectenerg-13528	131	5	to	to	ADP
fuelectenerg-13528	131	6	a	a	DET
fuelectenerg-13528	131	7	fixed	fixed	ADJ
fuelectenerg-13528	131	8	range	range	NOUN
fuelectenerg-13528	131	9	,	,	PUNCT
fuelectenerg-13528	131	10	typically	typically	ADV
fuelectenerg-13528	131	11	between	between	ADP
fuelectenerg-13528	131	12	0	0	NUM
fuelectenerg-13528	131	13	and	and	CCONJ
fuelectenerg-13528	131	14	1	1	NUM
fuelectenerg-13528	131	15	,	,	PUNCT
fuelectenerg-13528	131	16	by	by	ADP
fuelectenerg-13528	131	17	using	use	VERB
fuelectenerg-13528	131	18	minmax	minmax	PROPN
fuelectenerg-13528	131	19	scaling	scaling	NOUN
fuelectenerg-13528	131	20	as	as	SCONJ
fuelectenerg-13528	131	21	shown	show	VERB
fuelectenerg-13528	131	22	in	in	ADP
fuelectenerg-13528	131	23	equation	equation	NOUN
fuelectenerg-13528	131	24	(	(	PUNCT
fuelectenerg-13528	131	25	1	1	NUM
fuelectenerg-13528	131	26	)	)	PUNCT
fuelectenerg-13528	131	27	,	,	PUNCT
fuelectenerg-13528	131	28	which	which	PRON
fuelectenerg-13528	131	29	makes	make	VERB
fuelectenerg-13528	131	30	the	the	DET
fuelectenerg-13528	131	31	data	datum	NOUN
fuelectenerg-13528	131	32	easier	easy	ADJ
fuelectenerg-13528	131	33	to	to	PART
fuelectenerg-13528	131	34	compare	compare	VERB
fuelectenerg-13528	131	35	and	and	CCONJ
fuelectenerg-13528	131	36	suitable	suitable	ADJ
fuelectenerg-13528	131	37	for	for	ADP
fuelectenerg-13528	131	38	models	model	NOUN
fuelectenerg-13528	131	39	sensitive	sensitive	ADJ
fuelectenerg-13528	131	40	to	to	ADP
fuelectenerg-13528	131	41	varying	vary	VERB
fuelectenerg-13528	131	42	scales	scale	NOUN
fuelectenerg-13528	131	43	.	.	PUNCT
fuelectenerg-13528	132	1	standardization	standardization	NOUN
fuelectenerg-13528	132	2	transforms	transform	VERB
fuelectenerg-13528	132	3	data	datum	NOUN
fuelectenerg-13528	132	4	to	to	ADP
fuelectenerg-13528	132	5	a	a	DET
fuelectenerg-13528	132	6	mean	mean	NOUN
fuelectenerg-13528	132	7	of	of	ADP
fuelectenerg-13528	132	8	0	0	NUM
fuelectenerg-13528	132	9	and	and	CCONJ
fuelectenerg-13528	132	10	a	a	DET
fuelectenerg-13528	132	11	standard	standard	ADJ
fuelectenerg-13528	132	12	deviation	deviation	NOUN
fuelectenerg-13528	132	13	of	of	ADP
fuelectenerg-13528	132	14	1	1	NUM
fuelectenerg-13528	132	15	by	by	ADP
fuelectenerg-13528	132	16	using	use	VERB
fuelectenerg-13528	132	17	z	z	NOUN
fuelectenerg-13528	132	18	-	-	PUNCT
fuelectenerg-13528	132	19	score	score	NOUN
fuelectenerg-13528	132	20	scaling	scaling	NOUN
fuelectenerg-13528	132	21	as	as	SCONJ
fuelectenerg-13528	132	22	given	give	VERB
fuelectenerg-13528	132	23	in	in	ADP
fuelectenerg-13528	132	24	equation	equation	NOUN
fuelectenerg-13528	132	25	(	(	PUNCT
fuelectenerg-13528	132	26	2	2	NUM
fuelectenerg-13528	132	27	)	)	PUNCT
fuelectenerg-13528	132	28	.	.	PUNCT
fuelectenerg-13528	133	1	one	one	NUM
fuelectenerg-13528	133	2	-	-	PUNCT
fuelectenerg-13528	133	3	hot	hot	ADJ
fuelectenerg-13528	133	4	encoding	encoding	NOUN
fuelectenerg-13528	133	5	converts	convert	NOUN
fuelectenerg-13528	133	6	categorical	categorical	ADJ
fuelectenerg-13528	133	7	values	value	NOUN
fuelectenerg-13528	133	8	into	into	ADP
fuelectenerg-13528	133	9	binary	binary	ADJ
fuelectenerg-13528	133	10	columns	column	NOUN
fuelectenerg-13528	133	11	(	(	PUNCT
fuelectenerg-13528	133	12	0s	0s	NUM
fuelectenerg-13528	133	13	and	and	CCONJ
fuelectenerg-13528	133	14	1s	1s	NUM
fuelectenerg-13528	133	15	)	)	PUNCT
fuelectenerg-13528	133	16	to	to	PART
fuelectenerg-13528	133	17	make	make	VERB
fuelectenerg-13528	133	18	them	they	PRON
fuelectenerg-13528	133	19	suitable	suitable	ADJ
fuelectenerg-13528	133	20	for	for	ADP
fuelectenerg-13528	133	21	ml	ml	NOUN
fuelectenerg-13528	133	22	models	model	NOUN
fuelectenerg-13528	133	23	.	.	PUNCT
fuelectenerg-13528	134	1	outliers	outlier	NOUN
fuelectenerg-13528	134	2	are	be	AUX
fuelectenerg-13528	134	3	extreme	extreme	ADJ
fuelectenerg-13528	134	4	values	value	NOUN
fuelectenerg-13528	134	5	that	that	PRON
fuelectenerg-13528	134	6	can	can	AUX
fuelectenerg-13528	134	7	distort	distort	VERB
fuelectenerg-13528	134	8	analysis	analysis	NOUN
fuelectenerg-13528	134	9	and	and	CCONJ
fuelectenerg-13528	134	10	ml	ml	NOUN
fuelectenerg-13528	134	11	models	model	NOUN
fuelectenerg-13528	134	12	.	.	PUNCT
fuelectenerg-13528	135	1	the	the	DET
fuelectenerg-13528	135	2	zscore	zscore	NOUN
fuelectenerg-13528	135	3	method	method	NOUN
fuelectenerg-13528	135	4	is	be	AUX
fuelectenerg-13528	135	5	used	use	VERB
fuelectenerg-13528	135	6	here	here	ADV
fuelectenerg-13528	135	7	to	to	PART
fuelectenerg-13528	135	8	detect	detect	VERB
fuelectenerg-13528	135	9	and	and	CCONJ
fuelectenerg-13528	135	10	remove	remove	VERB
fuelectenerg-13528	135	11	such	such	ADJ
fuelectenerg-13528	135	12	values	value	NOUN
fuelectenerg-13528	135	13	by	by	ADP
fuelectenerg-13528	135	14	using	use	VERB
fuelectenerg-13528	135	15	a	a	DET
fuelectenerg-13528	135	16	threshold	threshold	NOUN
fuelectenerg-13528	135	17	value	value	NOUN
fuelectenerg-13528	135	18	of	of	ADP
fuelectenerg-13528	135	19	3	3	NUM
fuelectenerg-13528	135	20	and	and	CCONJ
fuelectenerg-13528	135	21	values	value	NOUN
fuelectenerg-13528	135	22	with	with	ADP
fuelectenerg-13528	135	23	a	a	DET
fuelectenerg-13528	135	24	z	z	NOUN
fuelectenerg-13528	135	25	-	-	PUNCT
fuelectenerg-13528	135	26	score	score	NOUN
fuelectenerg-13528	135	27	>	>	X
fuelectenerg-13528	135	28	3	3	NUM
fuelectenerg-13528	135	29	are	be	AUX
fuelectenerg-13528	135	30	considered	consider	VERB
fuelectenerg-13528	135	31	outliers	outlier	NOUN
fuelectenerg-13528	135	32	.	.	PUNCT
fuelectenerg-13528	136	1	in	in	ADP
fuelectenerg-13528	136	2	this	this	DET
fuelectenerg-13528	136	3	study	study	NOUN
fuelectenerg-13528	136	4	,	,	PUNCT
fuelectenerg-13528	136	5	the	the	DET
fuelectenerg-13528	136	6	z	z	NOUN
fuelectenerg-13528	136	7	-	-	PUNCT
fuelectenerg-13528	136	8	score	score	NOUN
fuelectenerg-13528	136	9	method	method	NOUN
fuelectenerg-13528	136	10	is	be	AUX
fuelectenerg-13528	136	11	used	use	VERB
fuelectenerg-13528	136	12	during	during	ADP
fuelectenerg-13528	136	13	the	the	DET
fuelectenerg-13528	136	14	data	datum	NOUN
fuelectenerg-13528	136	15	pre	pre	ADJ
fuelectenerg-13528	136	16	-	-	ADJ
fuelectenerg-13528	136	17	processing	processing	ADJ
fuelectenerg-13528	136	18	phase	phase	NOUN
fuelectenerg-13528	136	19	to	to	PART
fuelectenerg-13528	136	20	clean	clean	VERB
fuelectenerg-13528	136	21	the	the	DET
fuelectenerg-13528	136	22	dataset	dataset	NOUN
fuelectenerg-13528	136	23	by	by	ADP
fuelectenerg-13528	136	24	removing	remove	VERB
fuelectenerg-13528	136	25	outliers	outlier	NOUN
fuelectenerg-13528	136	26	,	,	PUNCT
fuelectenerg-13528	136	27	which	which	PRON
fuelectenerg-13528	136	28	are	be	AUX
fuelectenerg-13528	136	29	extreme	extreme	ADJ
fuelectenerg-13528	136	30	values	value	NOUN
fuelectenerg-13528	136	31	that	that	PRON
fuelectenerg-13528	136	32	could	could	AUX
fuelectenerg-13528	136	33	negatively	negatively	ADV
fuelectenerg-13528	136	34	impact	impact	VERB
fuelectenerg-13528	136	35	the	the	DET
fuelectenerg-13528	136	36	training	training	NOUN
fuelectenerg-13528	136	37	of	of	ADP
fuelectenerg-13528	136	38	machine	machine	NOUN
fuelectenerg-13528	136	39	learning	learning	NOUN
fuelectenerg-13528	136	40	models	model	NOUN
fuelectenerg-13528	136	41	.	.	PUNCT
fuelectenerg-13528	137	1	for	for	ADP
fuelectenerg-13528	137	2	each	each	DET
fuelectenerg-13528	137	3	feature	feature	NOUN
fuelectenerg-13528	137	4	in	in	ADP
fuelectenerg-13528	137	5	the	the	DET
fuelectenerg-13528	137	6	dataset	dataset	NOUN
fuelectenerg-13528	137	7	,	,	PUNCT
fuelectenerg-13528	137	8	the	the	DET
fuelectenerg-13528	137	9	z	z	NOUN
fuelectenerg-13528	137	10	-	-	PUNCT
fuelectenerg-13528	137	11	score	score	NOUN
fuelectenerg-13528	137	12	is	be	AUX
fuelectenerg-13528	137	13	calculated	calculate	VERB
fuelectenerg-13528	137	14	for	for	ADP
fuelectenerg-13528	137	15	each	each	DET
fuelectenerg-13528	137	16	data	data	NOUN
fuelectenerg-13528	137	17	point	point	NOUN
fuelectenerg-13528	137	18	.	.	PUNCT
fuelectenerg-13528	138	1	a	a	DET
fuelectenerg-13528	138	2	threshold	threshold	NOUN
fuelectenerg-13528	138	3	of	of	ADP
fuelectenerg-13528	138	4	3	3	NUM
fuelectenerg-13528	138	5	is	be	AUX
fuelectenerg-13528	138	6	applied	apply	VERB
fuelectenerg-13528	138	7	,	,	PUNCT
fuelectenerg-13528	138	8	meaning	mean	VERB
fuelectenerg-13528	138	9	that	that	SCONJ
fuelectenerg-13528	138	10	any	any	DET
fuelectenerg-13528	138	11	data	data	NOUN
fuelectenerg-13528	138	12	point	point	NOUN
fuelectenerg-13528	138	13	with	with	ADP
fuelectenerg-13528	138	14	a	a	DET
fuelectenerg-13528	138	15	z	z	NOUN
fuelectenerg-13528	138	16	-	-	PUNCT
fuelectenerg-13528	138	17	score	score	NOUN
fuelectenerg-13528	138	18	greater	great	ADJ
fuelectenerg-13528	138	19	than	than	ADP
fuelectenerg-13528	138	20	+3	+3	PROPN
fuelectenerg-13528	138	21	and	and	CCONJ
fuelectenerg-13528	138	22	less	less	ADJ
fuelectenerg-13528	138	23	than	than	ADP
fuelectenerg-13528	138	24	-3	-3	PUNCT
fuelectenerg-13528	138	25	is	be	AUX
fuelectenerg-13528	138	26	considered	consider	VERB
fuelectenerg-13528	138	27	an	an	DET
fuelectenerg-13528	138	28	outlier	outlier	NOUN
fuelectenerg-13528	138	29	.	.	PUNCT
fuelectenerg-13528	139	1	these	these	DET
fuelectenerg-13528	139	2	values	value	NOUN
fuelectenerg-13528	139	3	are	be	AUX
fuelectenerg-13528	139	4	removed	remove	VERB
fuelectenerg-13528	139	5	from	from	ADP
fuelectenerg-13528	139	6	the	the	DET
fuelectenerg-13528	139	7	dataset	dataset	NOUN
fuelectenerg-13528	139	8	to	to	PART
fuelectenerg-13528	139	9	ensure	ensure	VERB
fuelectenerg-13528	139	10	that	that	SCONJ
fuelectenerg-13528	139	11	the	the	DET
fuelectenerg-13528	139	12	remaining	remain	VERB
fuelectenerg-13528	139	13	data	data	NOUN
fuelectenerg-13528	139	14	is	be	AUX
fuelectenerg-13528	139	15	more	more	ADV
fuelectenerg-13528	139	16	representative	representative	NOUN
fuelectenerg-13528	139	17	of	of	ADP
fuelectenerg-13528	139	18	the	the	DET
fuelectenerg-13528	139	19	typical	typical	ADJ
fuelectenerg-13528	139	20	pattern	pattern	NOUN
fuelectenerg-13528	139	21	,	,	PUNCT
fuelectenerg-13528	139	22	improving	improve	VERB
fuelectenerg-13528	139	23	model	model	NOUN
fuelectenerg-13528	139	24	performance	performance	NOUN
fuelectenerg-13528	139	25	and	and	CCONJ
fuelectenerg-13528	139	26	generalization	generalization	NOUN
fuelectenerg-13528	139	27	.	.	PUNCT
fuelectenerg-13528	140	1	min	min	PROPN
fuelectenerg-13528	140	2	min	min	PROPN
fuelectenerg-13528	140	3	max	max	PROPN
fuelectenerg-13528	140	4	scalling	scalle	VERB
fuelectenerg-13528	140	5	max	max	PROPN
fuelectenerg-13528	140	6	min	min	PROPN
fuelectenerg-13528	140	7	x	x	PUNCT
fuelectenerg-13528	140	8	x	x	PUNCT
fuelectenerg-13528	140	9	x	x	PUNCT
fuelectenerg-13528	140	10	x	x	PUNCT
fuelectenerg-13528	140	11	x	x	SYM
fuelectenerg-13528	140	12	−	−	NOUN
fuelectenerg-13528	140	13	−	−	NUM
fuelectenerg-13528	140	14	−	−	PROPN
fuelectenerg-13528	140	15	=	=	SYM
fuelectenerg-13528	141	1	−	−	PROPN
fuelectenerg-13528	141	2	(	(	PUNCT
fuelectenerg-13528	141	3	1	1	NUM
fuelectenerg-13528	141	4	)	)	PUNCT
fuelectenerg-13528	141	5	std	std	NOUN
fuelectenerg-13528	141	6	x	x	SYM
fuelectenerg-13528	141	7	x	x	X
fuelectenerg-13528	141	8	or	or	CCONJ
fuelectenerg-13528	141	9	z	z	NOUN
fuelectenerg-13528	141	10	score	score	NOUN
fuelectenerg-13528	141	11			NOUN
fuelectenerg-13528	141	12			NOUN
fuelectenerg-13528	141	13	−	−	NOUN
fuelectenerg-13528	141	14	−	−	PROPN
fuelectenerg-13528	142	1	=	=	SYM
fuelectenerg-13528	142	2	(	(	PUNCT
fuelectenerg-13528	142	3	2	2	NUM
fuelectenerg-13528	142	4	)	)	PUNCT
fuelectenerg-13528	142	5	where	where	SCONJ
fuelectenerg-13528	142	6	µ	µ	NOUN
fuelectenerg-13528	142	7	is	be	AUX
fuelectenerg-13528	142	8	the	the	DET
fuelectenerg-13528	142	9	mean	mean	NOUN
fuelectenerg-13528	142	10	and	and	CCONJ
fuelectenerg-13528	142	11	σ	σ	PROPN
fuelectenerg-13528	142	12	is	be	AUX
fuelectenerg-13528	142	13	the	the	DET
fuelectenerg-13528	142	14	standard	standard	ADJ
fuelectenerg-13528	142	15	deviation	deviation	NOUN
fuelectenerg-13528	142	16	.	.	PUNCT
fuelectenerg-13528	143	1	fig	fig	NOUN
fuelectenerg-13528	143	2	.	.	PUNCT
fuelectenerg-13528	144	1	3	3	NUM
fuelectenerg-13528	144	2	(	(	PUNCT
fuelectenerg-13528	144	3	a	a	NOUN
fuelectenerg-13528	144	4	)	)	PUNCT
fuelectenerg-13528	144	5	feature	feature	NOUN
fuelectenerg-13528	144	6	correlation	correlation	NOUN
fuelectenerg-13528	144	7	heatmap	heatmap	NOUN
fuelectenerg-13528	144	8	with	with	ADP
fuelectenerg-13528	144	9	heart	heart	NOUN
fuelectenerg-13528	144	10	disease	disease	NOUN
fuelectenerg-13528	144	11	in	in	ADP
fuelectenerg-13528	144	12	cvd	cvd	PROPN
fuelectenerg-13528	144	13	dataset	dataset	VERB
fuelectenerg-13528	144	14	62	62	NUM
fuelectenerg-13528	144	15	g.	g.	PROPN
fuelectenerg-13528	144	16	gayatri	gayatri	PROPN
fuelectenerg-13528	144	17	lenka	lenka	PROPN
fuelectenerg-13528	144	18	,	,	PUNCT
fuelectenerg-13528	144	19	p.	p.	PROPN
fuelectenerg-13528	144	20	mishra	mishra	PROPN
fuelectenerg-13528	144	21	,	,	PUNCT
fuelectenerg-13528	144	22	j.	j.	PROPN
fuelectenerg-13528	144	23	routray	routray	PROPN
fuelectenerg-13528	144	24	,	,	PUNCT
fuelectenerg-13528	144	25	m.	m.	NOUN
fuelectenerg-13528	144	26	kandpal	kandpal	PROPN
fuelectenerg-13528	144	27	,	,	PUNCT
fuelectenerg-13528	144	28	r.	r.	PROPN
fuelectenerg-13528	144	29	kumar	kumar	PROPN
fuelectenerg-13528	144	30	dash	dash	PROPN
fuelectenerg-13528	144	31	,	,	PUNCT
fuelectenerg-13528	144	32	d.	d.	PROPN
fuelectenerg-13528	144	33	mishra	mishra	PROPN
fuelectenerg-13528	144	34	fig	fig	PROPN
fuelectenerg-13528	144	35	.	.	PUNCT
fuelectenerg-13528	145	1	3	3	NUM
fuelectenerg-13528	145	2	(	(	PUNCT
fuelectenerg-13528	145	3	b	b	NOUN
fuelectenerg-13528	145	4	)	)	PUNCT
fuelectenerg-13528	145	5	feature	feature	NOUN
fuelectenerg-13528	145	6	correlation	correlation	NOUN
fuelectenerg-13528	145	7	heatmap	heatmap	NOUN
fuelectenerg-13528	145	8	with	with	ADP
fuelectenerg-13528	145	9	heart	heart	NOUN
fuelectenerg-13528	145	10	disease	disease	NOUN
fuelectenerg-13528	145	11	in	in	ADP
fuelectenerg-13528	145	12	framingham	framingham	PROPN
fuelectenerg-13528	145	13	dataset	dataset	PROPN
fuelectenerg-13528	145	14	smote	smote	NOUN
fuelectenerg-13528	145	15	(	(	PUNCT
fuelectenerg-13528	145	16	synthetic	synthetic	ADJ
fuelectenerg-13528	145	17	minority	minority	NOUN
fuelectenerg-13528	145	18	oversampling	oversample	VERB
fuelectenerg-13528	145	19	technique	technique	NOUN
fuelectenerg-13528	145	20	)	)	PUNCT
fuelectenerg-13528	145	21	is	be	AUX
fuelectenerg-13528	145	22	a	a	DET
fuelectenerg-13528	145	23	method	method	NOUN
fuelectenerg-13528	145	24	for	for	ADP
fuelectenerg-13528	145	25	oversampling	oversample	VERB
fuelectenerg-13528	145	26	that	that	SCONJ
fuelectenerg-13528	145	27	addresses	address	NOUN
fuelectenerg-13528	145	28	class	class	NOUN
fuelectenerg-13528	145	29	imbalance	imbalance	NOUN
fuelectenerg-13528	145	30	in	in	ADP
fuelectenerg-13528	145	31	a	a	DET
fuelectenerg-13528	145	32	dataset	dataset	NOUN
fuelectenerg-13528	145	33	.	.	PUNCT
fuelectenerg-13528	146	1	it	it	PRON
fuelectenerg-13528	146	2	works	work	VERB
fuelectenerg-13528	146	3	by	by	ADP
fuelectenerg-13528	146	4	identifying	identify	VERB
fuelectenerg-13528	146	5	minority	minority	NOUN
fuelectenerg-13528	146	6	class	class	NOUN
fuelectenerg-13528	146	7	examples	example	NOUN
fuelectenerg-13528	146	8	that	that	PRON
fuelectenerg-13528	146	9	are	be	AUX
fuelectenerg-13528	146	10	near	near	ADP
fuelectenerg-13528	146	11	each	each	DET
fuelectenerg-13528	146	12	other	other	ADJ
fuelectenerg-13528	146	13	in	in	ADP
fuelectenerg-13528	146	14	the	the	DET
fuelectenerg-13528	146	15	feature	feature	NOUN
fuelectenerg-13528	146	16	space	space	NOUN
fuelectenerg-13528	146	17	.	.	PUNCT
fuelectenerg-13528	147	1	exploratory	exploratory	ADJ
fuelectenerg-13528	147	2	data	datum	NOUN
fuelectenerg-13528	147	3	analysis	analysis	NOUN
fuelectenerg-13528	147	4	(	(	PUNCT
fuelectenerg-13528	147	5	eda	eda	X
fuelectenerg-13528	147	6	)	)	PUNCT
fuelectenerg-13528	147	7	involves	involve	VERB
fuelectenerg-13528	147	8	evaluating	evaluate	VERB
fuelectenerg-13528	147	9	and	and	CCONJ
fuelectenerg-13528	147	10	visualizing	visualize	VERB
fuelectenerg-13528	147	11	datasets	dataset	NOUN
fuelectenerg-13528	147	12	to	to	PART
fuelectenerg-13528	147	13	uncover	uncover	VERB
fuelectenerg-13528	147	14	patterns	pattern	NOUN
fuelectenerg-13528	147	15	,	,	PUNCT
fuelectenerg-13528	147	16	relationships	relationship	NOUN
fuelectenerg-13528	147	17	,	,	PUNCT
fuelectenerg-13528	147	18	anomalies	anomaly	NOUN
fuelectenerg-13528	147	19	,	,	PUNCT
fuelectenerg-13528	147	20	and	and	CCONJ
fuelectenerg-13528	147	21	missing	miss	VERB
fuelectenerg-13528	147	22	values	value	NOUN
fuelectenerg-13528	147	23	.	.	PUNCT
fuelectenerg-13528	148	1	the	the	DET
fuelectenerg-13528	148	2	processed	process	VERB
fuelectenerg-13528	148	3	numerical	numerical	ADJ
fuelectenerg-13528	148	4	(	(	PUNCT
fuelectenerg-13528	148	5	normalized	normalize	VERB
fuelectenerg-13528	148	6	)	)	PUNCT
fuelectenerg-13528	148	7	and	and	CCONJ
fuelectenerg-13528	148	8	one	one	NUM
fuelectenerg-13528	148	9	-	-	PUNCT
fuelectenerg-13528	148	10	hot	hot	ADJ
fuelectenerg-13528	148	11	encoded	encode	VERB
fuelectenerg-13528	148	12	categorical	categorical	ADJ
fuelectenerg-13528	148	13	data	datum	NOUN
fuelectenerg-13528	148	14	are	be	AUX
fuelectenerg-13528	148	15	combined	combine	VERB
fuelectenerg-13528	148	16	to	to	PART
fuelectenerg-13528	148	17	create	create	VERB
fuelectenerg-13528	148	18	a	a	DET
fuelectenerg-13528	148	19	clean	clean	ADJ
fuelectenerg-13528	148	20	dataset	dataset	NOUN
fuelectenerg-13528	148	21	for	for	ADP
fuelectenerg-13528	148	22	ml	ml	NOUN
fuelectenerg-13528	148	23	models	model	NOUN
fuelectenerg-13528	148	24	.	.	PUNCT
fuelectenerg-13528	149	1	fig	fig	NOUN
fuelectenerg-13528	149	2	.	.	PUNCT
fuelectenerg-13528	150	1	3	3	NUM
fuelectenerg-13528	150	2	(	(	PUNCT
fuelectenerg-13528	150	3	a	a	NOUN
fuelectenerg-13528	150	4	)	)	PUNCT
fuelectenerg-13528	150	5	and	and	CCONJ
fuelectenerg-13528	150	6	3	3	NUM
fuelectenerg-13528	150	7	(	(	PUNCT
fuelectenerg-13528	150	8	b	b	NOUN
fuelectenerg-13528	150	9	)	)	PUNCT
fuelectenerg-13528	150	10	represent	represent	VERB
fuelectenerg-13528	150	11	the	the	DET
fuelectenerg-13528	150	12	positive	positive	ADJ
fuelectenerg-13528	150	13	correlated	correlate	VERB
fuelectenerg-13528	150	14	heatmap	heatmap	NOUN
fuelectenerg-13528	150	15	for	for	ADP
fuelectenerg-13528	150	16	cvd	cvd	PROPN
fuelectenerg-13528	150	17	and	and	CCONJ
fuelectenerg-13528	150	18	framingham	framingham	PROPN
fuelectenerg-13528	150	19	dataset	dataset	VERB
fuelectenerg-13528	150	20	respectively	respectively	ADV
fuelectenerg-13528	150	21	.	.	PUNCT
fuelectenerg-13528	151	1	3.4	3.4	NUM
fuelectenerg-13528	151	2	.	.	PUNCT
fuelectenerg-13528	152	1	feature	feature	NOUN
fuelectenerg-13528	152	2	selection	selection	NOUN
fuelectenerg-13528	152	3	finding	find	VERB
fuelectenerg-13528	152	4	a	a	DET
fuelectenerg-13528	152	5	subset	subset	NOUN
fuelectenerg-13528	152	6	of	of	ADP
fuelectenerg-13528	152	7	the	the	DET
fuelectenerg-13528	152	8	attributes	attribute	NOUN
fuelectenerg-13528	152	9	that	that	PRON
fuelectenerg-13528	152	10	are	be	AUX
fuelectenerg-13528	152	11	most	most	ADV
fuelectenerg-13528	152	12	significant	significant	ADJ
fuelectenerg-13528	152	13	from	from	ADP
fuelectenerg-13528	152	14	a	a	DET
fuelectenerg-13528	152	15	bigger	big	ADJ
fuelectenerg-13528	152	16	set	set	NOUN
fuelectenerg-13528	152	17	that	that	PRON
fuelectenerg-13528	152	18	has	have	VERB
fuelectenerg-13528	152	19	the	the	DET
fuelectenerg-13528	152	20	biggest	big	ADJ
fuelectenerg-13528	152	21	influence	influence	NOUN
fuelectenerg-13528	152	22	on	on	ADP
fuelectenerg-13528	152	23	the	the	DET
fuelectenerg-13528	152	24	result	result	NOUN
fuelectenerg-13528	152	25	is	be	AUX
fuelectenerg-13528	152	26	known	know	VERB
fuelectenerg-13528	152	27	as	as	ADP
fuelectenerg-13528	152	28	feature	feature	NOUN
fuelectenerg-13528	152	29	selection	selection	NOUN
fuelectenerg-13528	152	30	.	.	PUNCT
fuelectenerg-13528	153	1	selection	selection	NOUN
fuelectenerg-13528	153	2	of	of	ADP
fuelectenerg-13528	153	3	features	feature	NOUN
fuelectenerg-13528	153	4	using	use	VERB
fuelectenerg-13528	153	5	meta	meta	ADJ
fuelectenerg-13528	153	6	-	-	PUNCT
fuelectenerg-13528	153	7	heuristic	heuristic	ADJ
fuelectenerg-13528	153	8	algorithms	algorithms	NOUN
fuelectenerg-13528	153	9	is	be	AUX
fuelectenerg-13528	153	10	an	an	DET
fuelectenerg-13528	153	11	advanced	advanced	ADJ
fuelectenerg-13528	153	12	technique	technique	NOUN
fuelectenerg-13528	153	13	to	to	PART
fuelectenerg-13528	153	14	identify	identify	VERB
fuelectenerg-13528	153	15	the	the	DET
fuelectenerg-13528	153	16	dataset	dataset	NOUN
fuelectenerg-13528	153	17	’s	’s	PART
fuelectenerg-13528	153	18	most	most	ADV
fuelectenerg-13528	153	19	pertinent	pertinent	ADJ
fuelectenerg-13528	153	20	attributes	attribute	NOUN
fuelectenerg-13528	153	21	for	for	ADP
fuelectenerg-13528	153	22	improved	improved	ADJ
fuelectenerg-13528	153	23	model	model	NOUN
fuelectenerg-13528	153	24	performance	performance	NOUN
fuelectenerg-13528	153	25	[	[	X
fuelectenerg-13528	153	26	21	21	NUM
fuelectenerg-13528	153	27	]	]	PUNCT
fuelectenerg-13528	153	28	.	.	PUNCT
fuelectenerg-13528	154	1	these	these	DET
fuelectenerg-13528	154	2	methods	method	NOUN
fuelectenerg-13528	154	3	explore	explore	VERB
fuelectenerg-13528	154	4	and	and	CCONJ
fuelectenerg-13528	154	5	evaluate	evaluate	VERB
fuelectenerg-13528	154	6	combinations	combination	NOUN
fuelectenerg-13528	154	7	of	of	ADP
fuelectenerg-13528	154	8	features	feature	NOUN
fuelectenerg-13528	154	9	to	to	PART
fuelectenerg-13528	154	10	reduce	reduce	VERB
fuelectenerg-13528	154	11	redundancy	redundancy	NOUN
fuelectenerg-13528	154	12	,	,	PUNCT
fuelectenerg-13528	154	13	improve	improve	VERB
fuelectenerg-13528	154	14	accuracy	accuracy	NOUN
fuelectenerg-13528	154	15	,	,	PUNCT
fuelectenerg-13528	154	16	and	and	CCONJ
fuelectenerg-13528	154	17	prevent	prevent	VERB
fuelectenerg-13528	154	18	overfitting	overfitting	NOUN
fuelectenerg-13528	154	19	in	in	ADP
fuelectenerg-13528	154	20	machine	machine	NOUN
fuelectenerg-13528	154	21	learning	learning	NOUN
fuelectenerg-13528	154	22	models	model	NOUN
fuelectenerg-13528	154	23	.	.	PUNCT
fuelectenerg-13528	155	1	unlike	unlike	ADP
fuelectenerg-13528	155	2	traditional	traditional	ADJ
fuelectenerg-13528	155	3	techniques	technique	NOUN
fuelectenerg-13528	155	4	,	,	PUNCT
fuelectenerg-13528	155	5	meta	meta	X
fuelectenerg-13528	155	6	-	-	PUNCT
fuelectenerg-13528	155	7	heuristics	heuristic	NOUN
fuelectenerg-13528	155	8	can	can	AUX
fuelectenerg-13528	155	9	handle	handle	VERB
fuelectenerg-13528	155	10	datasets	dataset	NOUN
fuelectenerg-13528	155	11	with	with	ADP
fuelectenerg-13528	155	12	high	high	ADJ
fuelectenerg-13528	155	13	dimensions	dimension	NOUN
fuelectenerg-13528	155	14	and	and	CCONJ
fuelectenerg-13528	155	15	complicated	complicated	ADJ
fuelectenerg-13528	155	16	interactions	interaction	NOUN
fuelectenerg-13528	155	17	among	among	ADP
fuelectenerg-13528	155	18	attributes	attribute	NOUN
fuelectenerg-13528	155	19	,	,	PUNCT
fuelectenerg-13528	155	20	making	make	VERB
fuelectenerg-13528	155	21	them	they	PRON
fuelectenerg-13528	155	22	powerful	powerful	ADJ
fuelectenerg-13528	155	23	for	for	ADP
fuelectenerg-13528	155	24	feature	feature	NOUN
fuelectenerg-13528	155	25	selection	selection	NOUN
fuelectenerg-13528	155	26	in	in	ADP
fuelectenerg-13528	155	27	real	real	ADJ
fuelectenerg-13528	155	28	-	-	PUNCT
fuelectenerg-13528	155	29	world	world	NOUN
fuelectenerg-13528	155	30	problems	problem	NOUN
fuelectenerg-13528	155	31	where	where	SCONJ
fuelectenerg-13528	155	32	exhaustive	exhaustive	ADJ
fuelectenerg-13528	155	33	search	search	NOUN
fuelectenerg-13528	155	34	is	be	AUX
fuelectenerg-13528	155	35	computationally	computationally	ADV
fuelectenerg-13528	155	36	impractical	impractical	ADJ
fuelectenerg-13528	155	37	.	.	PUNCT
fuelectenerg-13528	156	1	in	in	ADP
fuelectenerg-13528	156	2	this	this	DET
fuelectenerg-13528	156	3	work	work	NOUN
fuelectenerg-13528	156	4	,	,	PUNCT
fuelectenerg-13528	156	5	we	we	PRON
fuelectenerg-13528	156	6	have	have	AUX
fuelectenerg-13528	156	7	used	use	VERB
fuelectenerg-13528	156	8	meta	meta	ADJ
fuelectenerg-13528	156	9	-	-	PUNCT
fuelectenerg-13528	156	10	heuristic	heuristic	ADJ
fuelectenerg-13528	156	11	algorithms	algorithm	NOUN
fuelectenerg-13528	157	1	[	[	X
fuelectenerg-13528	157	2	22	22	NUM
fuelectenerg-13528	157	3	]	]	PUNCT
fuelectenerg-13528	157	4	like	like	ADP
fuelectenerg-13528	157	5	csa	csa	PROPN
fuelectenerg-13528	157	6	,	,	PUNCT
fuelectenerg-13528	157	7	ga	ga	PROPN
fuelectenerg-13528	157	8	and	and	CCONJ
fuelectenerg-13528	157	9	pso	pso	NOUN
fuelectenerg-13528	157	10	for	for	ADP
fuelectenerg-13528	157	11	the	the	DET
fuelectenerg-13528	157	12	best	good	ADJ
fuelectenerg-13528	157	13	feature	feature	NOUN
fuelectenerg-13528	157	14	selection	selection	NOUN
fuelectenerg-13528	157	15	(	(	PUNCT
fuelectenerg-13528	157	16	the	the	DET
fuelectenerg-13528	157	17	features	feature	NOUN
fuelectenerg-13528	157	18	which	which	PRON
fuelectenerg-13528	157	19	are	be	AUX
fuelectenerg-13528	157	20	required	require	VERB
fuelectenerg-13528	157	21	to	to	PART
fuelectenerg-13528	157	22	give	give	VERB
fuelectenerg-13528	157	23	best	good	ADJ
fuelectenerg-13528	157	24	prediction	prediction	NOUN
fuelectenerg-13528	157	25	for	for	ADP
fuelectenerg-13528	157	26	the	the	DET
fuelectenerg-13528	157	27	cvd	cvd	NOUN
fuelectenerg-13528	157	28	)	)	PUNCT
fuelectenerg-13528	157	29	from	from	ADP
fuelectenerg-13528	157	30	the	the	DET
fuelectenerg-13528	157	31	available	available	ADJ
fuelectenerg-13528	157	32	set	set	NOUN
fuelectenerg-13528	157	33	of	of	ADP
fuelectenerg-13528	157	34	features	feature	NOUN
fuelectenerg-13528	157	35	from	from	ADP
fuelectenerg-13528	157	36	the	the	DET
fuelectenerg-13528	157	37	dataset	dataset	NOUN
fuelectenerg-13528	157	38	and	and	CCONJ
fuelectenerg-13528	157	39	by	by	ADP
fuelectenerg-13528	157	40	using	use	VERB
fuelectenerg-13528	157	41	the	the	DET
fuelectenerg-13528	157	42	best	good	ADJ
fuelectenerg-13528	157	43	selected	select	VERB
fuelectenerg-13528	157	44	features	feature	NOUN
fuelectenerg-13528	157	45	only	only	ADV
fuelectenerg-13528	157	46	,	,	PUNCT
fuelectenerg-13528	157	47	different	different	ADJ
fuelectenerg-13528	157	48	ml	ml	NOUN
fuelectenerg-13528	157	49	classifiers	classifier	NOUN
fuelectenerg-13528	157	50	were	be	AUX
fuelectenerg-13528	157	51	used	use	VERB
fuelectenerg-13528	157	52	for	for	ADP
fuelectenerg-13528	157	53	cvd	cvd	PROPN
fuelectenerg-13528	157	54	prediction	prediction	NOUN
fuelectenerg-13528	157	55	and	and	CCONJ
fuelectenerg-13528	157	56	the	the	DET
fuelectenerg-13528	157	57	results	result	NOUN
fuelectenerg-13528	157	58	are	be	AUX
fuelectenerg-13528	157	59	compared	compare	VERB
fuelectenerg-13528	157	60	.	.	PUNCT
fuelectenerg-13528	158	1	the	the	DET
fuelectenerg-13528	158	2	detailed	detailed	ADJ
fuelectenerg-13528	158	3	explanation	explanation	NOUN
fuelectenerg-13528	158	4	and	and	CCONJ
fuelectenerg-13528	158	5	working	working	NOUN
fuelectenerg-13528	158	6	of	of	ADP
fuelectenerg-13528	158	7	all	all	DET
fuelectenerg-13528	158	8	the	the	DET
fuelectenerg-13528	158	9	meta	meta	ADJ
fuelectenerg-13528	158	10	-	-	PUNCT
fuelectenerg-13528	158	11	heuristic	heuristic	ADJ
fuelectenerg-13528	158	12	algorithms	algorithm	NOUN
fuelectenerg-13528	158	13	used	use	VERB
fuelectenerg-13528	158	14	are	be	AUX
fuelectenerg-13528	158	15	given	give	VERB
fuelectenerg-13528	158	16	in	in	ADP
fuelectenerg-13528	158	17	section	section	NOUN
fuelectenerg-13528	158	18	4	4	NUM
fuelectenerg-13528	158	19	.	.	PUNCT
fuelectenerg-13528	158	20	optimizing	optimize	VERB
fuelectenerg-13528	158	21	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	158	22	disease	disease	NOUN
fuelectenerg-13528	158	23	diagnosis	diagnosis	NOUN
fuelectenerg-13528	158	24	:	:	PUNCT
fuelectenerg-13528	158	25	a	a	DET
fuelectenerg-13528	158	26	meta	meta	ADJ
fuelectenerg-13528	158	27	-	-	PUNCT
fuelectenerg-13528	158	28	heuristic	heuristic	ADJ
fuelectenerg-13528	158	29	and	and	CCONJ
fuelectenerg-13528	158	30	fuzzy	fuzzy	ADJ
fuelectenerg-13528	158	31	logic	logic	NOUN
fuelectenerg-13528	158	32	-	-	PUNCT
fuelectenerg-13528	158	33	based	base	VERB
fuelectenerg-13528	158	34	approach	approach	NOUN
fuelectenerg-13528	158	35	63	63	NUM
fuelectenerg-13528	158	36	3.5	3.5	NUM
fuelectenerg-13528	158	37	.	.	PUNCT
fuelectenerg-13528	159	1	dataset	dataset	ADJ
fuelectenerg-13528	159	2	splitting	splitting	NOUN
fuelectenerg-13528	159	3	it	it	PRON
fuelectenerg-13528	159	4	is	be	AUX
fuelectenerg-13528	159	5	possible	possible	ADJ
fuelectenerg-13528	159	6	to	to	PART
fuelectenerg-13528	159	7	divide	divide	VERB
fuelectenerg-13528	159	8	the	the	DET
fuelectenerg-13528	159	9	completely	completely	ADV
fuelectenerg-13528	159	10	known	know	VERB
fuelectenerg-13528	159	11	dataset	dataset	NOUN
fuelectenerg-13528	159	12	into	into	ADP
fuelectenerg-13528	159	13	training	training	NOUN
fuelectenerg-13528	159	14	and	and	CCONJ
fuelectenerg-13528	159	15	test	test	NOUN
fuelectenerg-13528	159	16	sets	set	NOUN
fuelectenerg-13528	159	17	.	.	PUNCT
fuelectenerg-13528	160	1	the	the	DET
fuelectenerg-13528	160	2	"	"	PUNCT
fuelectenerg-13528	160	3	cvd	cvd	PROPN
fuelectenerg-13528	160	4	"	"	PUNCT
fuelectenerg-13528	160	5	dataset	dataset	NOUN
fuelectenerg-13528	160	6	's	's	PART
fuelectenerg-13528	160	7	training	training	NOUN
fuelectenerg-13528	160	8	and	and	CCONJ
fuelectenerg-13528	160	9	testing	testing	NOUN
fuelectenerg-13528	160	10	datasets	dataset	NOUN
fuelectenerg-13528	160	11	are	be	AUX
fuelectenerg-13528	160	12	divided	divide	VERB
fuelectenerg-13528	160	13	in	in	ADP
fuelectenerg-13528	160	14	a	a	DET
fuelectenerg-13528	160	15	70:30	70:30	NUM
fuelectenerg-13528	160	16	ratio	ratio	NOUN
fuelectenerg-13528	160	17	,	,	PUNCT
fuelectenerg-13528	160	18	with	with	ADP
fuelectenerg-13528	160	19	833	833	NUM
fuelectenerg-13528	160	20	and	and	CCONJ
fuelectenerg-13528	160	21	357	357	NUM
fuelectenerg-13528	160	22	instances	instance	NOUN
fuelectenerg-13528	160	23	respectively	respectively	ADV
fuelectenerg-13528	160	24	.	.	PUNCT
fuelectenerg-13528	161	1	the	the	DET
fuelectenerg-13528	161	2	target	target	NOUN
fuelectenerg-13528	161	3	'	'	PUNCT
fuelectenerg-13528	161	4	0	0	NUM
fuelectenerg-13528	161	5	'	'	PUNCT
fuelectenerg-13528	161	6	has	have	VERB
fuelectenerg-13528	161	7	561	561	NUM
fuelectenerg-13528	161	8	instances	instance	NOUN
fuelectenerg-13528	161	9	out	out	ADP
fuelectenerg-13528	161	10	of	of	ADP
fuelectenerg-13528	161	11	1190	1190	NUM
fuelectenerg-13528	161	12	,	,	PUNCT
fuelectenerg-13528	161	13	and	and	CCONJ
fuelectenerg-13528	161	14	the	the	DET
fuelectenerg-13528	161	15	target	target	NOUN
fuelectenerg-13528	161	16	'	'	PUNCT
fuelectenerg-13528	161	17	1	1	NUM
fuelectenerg-13528	161	18	'	'	PUNCT
fuelectenerg-13528	161	19	has	have	VERB
fuelectenerg-13528	161	20	628	628	NUM
fuelectenerg-13528	161	21	instances	instance	NOUN
fuelectenerg-13528	161	22	.	.	PUNCT
fuelectenerg-13528	162	1	all	all	DET
fuelectenerg-13528	162	2	five	five	NUM
fuelectenerg-13528	162	3	classifiers	classifier	NOUN
fuelectenerg-13528	162	4	were	be	AUX
fuelectenerg-13528	162	5	evaluated	evaluate	VERB
fuelectenerg-13528	162	6	using	use	VERB
fuelectenerg-13528	162	7	this	this	DET
fuelectenerg-13528	162	8	70:30	70:30	NUM
fuelectenerg-13528	162	9	dataset	dataset	NOUN
fuelectenerg-13528	162	10	.	.	PUNCT
fuelectenerg-13528	163	1	similarly	similarly	ADV
fuelectenerg-13528	163	2	,	,	PUNCT
fuelectenerg-13528	163	3	the	the	DET
fuelectenerg-13528	163	4	framingham	framingham	PROPN
fuelectenerg-13528	163	5	dataset	dataset	PROPN
fuelectenerg-13528	163	6	is	be	AUX
fuelectenerg-13528	163	7	also	also	ADV
fuelectenerg-13528	163	8	divided	divide	VERB
fuelectenerg-13528	163	9	into	into	ADP
fuelectenerg-13528	163	10	the	the	DET
fuelectenerg-13528	163	11	same	same	ADJ
fuelectenerg-13528	163	12	ratio	ratio	NOUN
fuelectenerg-13528	163	13	with	with	ADP
fuelectenerg-13528	163	14	2968	2968	NUM
fuelectenerg-13528	163	15	instances	instance	NOUN
fuelectenerg-13528	163	16	taken	take	VERB
fuelectenerg-13528	163	17	for	for	ADP
fuelectenerg-13528	163	18	training	training	NOUN
fuelectenerg-13528	163	19	and	and	CCONJ
fuelectenerg-13528	163	20	the	the	DET
fuelectenerg-13528	163	21	rest	rest	NOUN
fuelectenerg-13528	163	22	of	of	ADP
fuelectenerg-13528	163	23	the	the	DET
fuelectenerg-13528	163	24	instances	instance	NOUN
fuelectenerg-13528	163	25	are	be	AUX
fuelectenerg-13528	163	26	taken	take	VERB
fuelectenerg-13528	163	27	for	for	ADP
fuelectenerg-13528	163	28	testing	test	VERB
fuelectenerg-13528	163	29	purposes	purpose	NOUN
fuelectenerg-13528	163	30	for	for	ADP
fuelectenerg-13528	163	31	predicting	predict	VERB
fuelectenerg-13528	163	32	the	the	DET
fuelectenerg-13528	163	33	target	target	NOUN
fuelectenerg-13528	163	34	variable	variable	NOUN
fuelectenerg-13528	163	35	.	.	PUNCT
fuelectenerg-13528	164	1	3.6	3.6	NUM
fuelectenerg-13528	164	2	.	.	PUNCT
fuelectenerg-13528	164	3	machine	machine	NOUN
fuelectenerg-13528	164	4	learning	learn	VERB
fuelectenerg-13528	164	5	classifiers	classifier	NOUN
fuelectenerg-13528	164	6	several	several	ADJ
fuelectenerg-13528	164	7	ml	ml	NOUN
fuelectenerg-13528	164	8	classifiers	classifier	NOUN
fuelectenerg-13528	164	9	are	be	AUX
fuelectenerg-13528	164	10	used	use	VERB
fuelectenerg-13528	164	11	for	for	ADP
fuelectenerg-13528	164	12	making	make	VERB
fuelectenerg-13528	164	13	predictions	prediction	NOUN
fuelectenerg-13528	164	14	,	,	PUNCT
fuelectenerg-13528	164	15	including	include	VERB
fuelectenerg-13528	164	16	dt	dt	PROPN
fuelectenerg-13528	164	17	,	,	PUNCT
fuelectenerg-13528	164	18	rf	rf	PROPN
fuelectenerg-13528	164	19	,	,	PUNCT
fuelectenerg-13528	164	20	knn	knn	PROPN
fuelectenerg-13528	164	21	,	,	PUNCT
fuelectenerg-13528	164	22	svm	svm	PROPN
fuelectenerg-13528	164	23	and	and	CCONJ
fuelectenerg-13528	164	24	nb	nb	INTJ
fuelectenerg-13528	164	25	.	.	PUNCT
fuelectenerg-13528	164	26	decision	decision	NOUN
fuelectenerg-13528	164	27	tree	tree	NOUN
fuelectenerg-13528	164	28	-it	-it	NOUN
fuelectenerg-13528	164	29	is	be	AUX
fuelectenerg-13528	164	30	a	a	DET
fuelectenerg-13528	164	31	supervised	supervised	ADJ
fuelectenerg-13528	164	32	learning	learning	NOUN
fuelectenerg-13528	164	33	method	method	NOUN
fuelectenerg-13528	164	34	to	to	PART
fuelectenerg-13528	164	35	structure	structure	VERB
fuelectenerg-13528	164	36	like	like	ADP
fuelectenerg-13528	164	37	a	a	DET
fuelectenerg-13528	164	38	tree	tree	NOUN
fuelectenerg-13528	164	39	,	,	PUNCT
fuelectenerg-13528	164	40	with	with	ADP
fuelectenerg-13528	164	41	internal	internal	ADJ
fuelectenerg-13528	164	42	decision	decision	NOUN
fuelectenerg-13528	164	43	nodes	node	NOUN
fuelectenerg-13528	164	44	standing	stand	VERB
fuelectenerg-13528	164	45	in	in	ADP
fuelectenerg-13528	164	46	for	for	ADP
fuelectenerg-13528	164	47	features	feature	NOUN
fuelectenerg-13528	164	48	and	and	CCONJ
fuelectenerg-13528	164	49	leaf	leaf	NOUN
fuelectenerg-13528	164	50	nodes	node	NOUN
fuelectenerg-13528	164	51	for	for	ADP
fuelectenerg-13528	164	52	results	result	NOUN
fuelectenerg-13528	164	53	.	.	PUNCT
fuelectenerg-13528	165	1	decision	decision	NOUN
fuelectenerg-13528	165	2	nodes	node	NOUN
fuelectenerg-13528	165	3	make	make	VERB
fuelectenerg-13528	165	4	choices	choice	NOUN
fuelectenerg-13528	165	5	that	that	PRON
fuelectenerg-13528	165	6	lead	lead	VERB
fuelectenerg-13528	165	7	to	to	ADP
fuelectenerg-13528	165	8	branches	branch	NOUN
fuelectenerg-13528	165	9	,	,	PUNCT
fuelectenerg-13528	165	10	whereas	whereas	SCONJ
fuelectenerg-13528	165	11	leaf	leaf	NOUN
fuelectenerg-13528	165	12	nodes	node	NOUN
fuelectenerg-13528	165	13	deliver	deliver	VERB
fuelectenerg-13528	165	14	final	final	ADJ
fuelectenerg-13528	165	15	outputs	output	NOUN
fuelectenerg-13528	165	16	without	without	ADP
fuelectenerg-13528	165	17	any	any	DET
fuelectenerg-13528	165	18	additional	additional	ADJ
fuelectenerg-13528	165	19	branches	branch	NOUN
fuelectenerg-13528	165	20	.	.	PUNCT
fuelectenerg-13528	166	1	random	random	ADJ
fuelectenerg-13528	166	2	forest	forest	NOUN
fuelectenerg-13528	166	3	a	a	DET
fuelectenerg-13528	166	4	tree	tree	NOUN
fuelectenerg-13528	166	5	-	-	PUNCT
fuelectenerg-13528	166	6	based	base	VERB
fuelectenerg-13528	166	7	technique	technique	NOUN
fuelectenerg-13528	166	8	called	call	VERB
fuelectenerg-13528	166	9	rf	rf	NOUN
fuelectenerg-13528	166	10	uses	use	VERB
fuelectenerg-13528	166	11	several	several	ADJ
fuelectenerg-13528	166	12	decision	decision	NOUN
fuelectenerg-13528	166	13	trees	tree	NOUN
fuelectenerg-13528	166	14	to	to	PART
fuelectenerg-13528	166	15	provide	provide	VERB
fuelectenerg-13528	166	16	predictions	prediction	NOUN
fuelectenerg-13528	166	17	.	.	PUNCT
fuelectenerg-13528	167	1	the	the	DET
fuelectenerg-13528	167	2	model	model	NOUN
fuelectenerg-13528	167	3	chooses	choose	VERB
fuelectenerg-13528	167	4	the	the	DET
fuelectenerg-13528	167	5	most	most	ADV
fuelectenerg-13528	167	6	popular	popular	ADJ
fuelectenerg-13528	167	7	class	class	NOUN
fuelectenerg-13528	167	8	as	as	ADP
fuelectenerg-13528	167	9	its	its	PRON
fuelectenerg-13528	167	10	final	final	ADJ
fuelectenerg-13528	167	11	forecast	forecast	NOUN
fuelectenerg-13528	167	12	after	after	SCONJ
fuelectenerg-13528	167	13	each	each	DET
fuelectenerg-13528	167	14	tree	tree	NOUN
fuelectenerg-13528	167	15	casts	cast	VERB
fuelectenerg-13528	167	16	a	a	DET
fuelectenerg-13528	167	17	vote	vote	NOUN
fuelectenerg-13528	167	18	on	on	ADP
fuelectenerg-13528	167	19	a	a	DET
fuelectenerg-13528	167	20	class	class	NOUN
fuelectenerg-13528	167	21	.	.	PUNCT
fuelectenerg-13528	168	1	k	k	X
fuelectenerg-13528	168	2	-	-	PUNCT
fuelectenerg-13528	168	3	nearest	near	ADJ
fuelectenerg-13528	168	4	neighbor	neighbor	NOUN
fuelectenerg-13528	168	5	the	the	DET
fuelectenerg-13528	168	6	knn	knn	PROPN
fuelectenerg-13528	168	7	classifier	classifier	PROPN
fuelectenerg-13528	168	8	is	be	AUX
fuelectenerg-13528	168	9	a	a	DET
fuelectenerg-13528	168	10	supervised	supervised	ADJ
fuelectenerg-13528	168	11	ml	ml	NOUN
fuelectenerg-13528	168	12	methodology	methodology	NOUN
fuelectenerg-13528	168	13	used	use	VERB
fuelectenerg-13528	168	14	for	for	ADP
fuelectenerg-13528	168	15	categorizing	categorize	VERB
fuelectenerg-13528	168	16	and	and	CCONJ
fuelectenerg-13528	168	17	regression	regression	NOUN
fuelectenerg-13528	168	18	,	,	PUNCT
fuelectenerg-13528	168	19	which	which	PRON
fuelectenerg-13528	168	20	categorizes	categorize	VERB
fuelectenerg-13528	168	21	data	data	NOUN
fuelectenerg-13528	168	22	points	point	NOUN
fuelectenerg-13528	168	23	according	accord	VERB
fuelectenerg-13528	168	24	to	to	ADP
fuelectenerg-13528	168	25	the	the	DET
fuelectenerg-13528	168	26	classes	class	NOUN
fuelectenerg-13528	168	27	of	of	ADP
fuelectenerg-13528	168	28	their	their	PRON
fuelectenerg-13528	168	29	nearest	near	ADJ
fuelectenerg-13528	168	30	neighbor	neighbor	NOUN
fuelectenerg-13528	168	31	.	.	PUNCT
fuelectenerg-13528	169	1	known	know	VERB
fuelectenerg-13528	169	2	as	as	ADP
fuelectenerg-13528	169	3	a	a	DET
fuelectenerg-13528	169	4	lazy	lazy	ADJ
fuelectenerg-13528	169	5	learner	learner	NOUN
fuelectenerg-13528	169	6	,	,	PUNCT
fuelectenerg-13528	169	7	knn	knn	PROPN
fuelectenerg-13528	169	8	does	do	AUX
fuelectenerg-13528	169	9	not	not	PART
fuelectenerg-13528	169	10	train	train	VERB
fuelectenerg-13528	169	11	a	a	DET
fuelectenerg-13528	169	12	model	model	NOUN
fuelectenerg-13528	169	13	but	but	CCONJ
fuelectenerg-13528	169	14	instead	instead	ADV
fuelectenerg-13528	169	15	stores	store	VERB
fuelectenerg-13528	169	16	data	datum	NOUN
fuelectenerg-13528	169	17	and	and	CCONJ
fuelectenerg-13528	169	18	only	only	ADV
fuelectenerg-13528	169	19	calculates	calculate	VERB
fuelectenerg-13528	169	20	distances	distance	NOUN
fuelectenerg-13528	169	21	when	when	SCONJ
fuelectenerg-13528	169	22	queried	query	VERB
fuelectenerg-13528	169	23	,	,	PUNCT
fuelectenerg-13528	169	24	making	make	VERB
fuelectenerg-13528	169	25	it	it	PRON
fuelectenerg-13528	169	26	suitable	suitable	ADJ
fuelectenerg-13528	169	27	for	for	ADP
fuelectenerg-13528	169	28	data	data	NOUN
fuelectenerg-13528	169	29	mining	mining	NOUN
fuelectenerg-13528	169	30	.	.	PUNCT
fuelectenerg-13528	170	1	support	support	NOUN
fuelectenerg-13528	170	2	vector	vector	NOUN
fuelectenerg-13528	170	3	machine	machine	NOUN
fuelectenerg-13528	170	4	–	–	PUNCT
fuelectenerg-13528	170	5	svm	svm	PROPN
fuelectenerg-13528	170	6	works	work	VERB
fuelectenerg-13528	170	7	by	by	ADP
fuelectenerg-13528	170	8	finding	find	VERB
fuelectenerg-13528	170	9	the	the	DET
fuelectenerg-13528	170	10	best	good	ADJ
fuelectenerg-13528	170	11	hyper	hyper	ADJ
fuelectenerg-13528	170	12	plane	plane	NOUN
fuelectenerg-13528	170	13	to	to	PART
fuelectenerg-13528	170	14	divide	divide	VERB
fuelectenerg-13528	170	15	data	datum	NOUN
fuelectenerg-13528	170	16	points	point	NOUN
fuelectenerg-13528	170	17	into	into	ADP
fuelectenerg-13528	170	18	discrete	discrete	ADJ
fuelectenerg-13528	170	19	groups	group	NOUN
fuelectenerg-13528	170	20	while	while	SCONJ
fuelectenerg-13528	170	21	optimizing	optimize	VERB
fuelectenerg-13528	170	22	the	the	DET
fuelectenerg-13528	170	23	margin	margin	NOUN
fuelectenerg-13528	170	24	between	between	ADP
fuelectenerg-13528	170	25	them	they	PRON
fuelectenerg-13528	170	26	.	.	PUNCT
fuelectenerg-13528	171	1	naïve	naïve	PROPN
fuelectenerg-13528	171	2	bayesbased	bayesbase	VERB
fuelectenerg-13528	171	3	on	on	ADP
fuelectenerg-13528	171	4	bayes	bayes	PROPN
fuelectenerg-13528	171	5	'	'	PART
fuelectenerg-13528	171	6	theorem	theorem	PROPN
fuelectenerg-13528	171	7	,	,	PUNCT
fuelectenerg-13528	171	8	nb	nb	PRON
fuelectenerg-13528	171	9	frequently	frequently	ADV
fuelectenerg-13528	171	10	used	use	VERB
fuelectenerg-13528	171	11	for	for	ADP
fuelectenerg-13528	171	12	classification	classification	NOUN
fuelectenerg-13528	171	13	tasks	task	NOUN
fuelectenerg-13528	171	14	.	.	PUNCT
fuelectenerg-13528	172	1	it	it	PRON
fuelectenerg-13528	172	2	is	be	AUX
fuelectenerg-13528	172	3	simple	simple	ADJ
fuelectenerg-13528	172	4	to	to	PART
fuelectenerg-13528	172	5	build	build	VERB
fuelectenerg-13528	172	6	and	and	CCONJ
fuelectenerg-13528	172	7	computationally	computationally	ADV
fuelectenerg-13528	172	8	effective	effective	ADJ
fuelectenerg-13528	172	9	because	because	SCONJ
fuelectenerg-13528	172	10	it	it	PRON
fuelectenerg-13528	172	11	works	work	VERB
fuelectenerg-13528	172	12	under	under	ADP
fuelectenerg-13528	172	13	the	the	DET
fuelectenerg-13528	172	14	premise	premise	NOUN
fuelectenerg-13528	172	15	that	that	SCONJ
fuelectenerg-13528	172	16	characteristics	characteristic	NOUN
fuelectenerg-13528	172	17	are	be	AUX
fuelectenerg-13528	172	18	independent	independent	ADJ
fuelectenerg-13528	172	19	of	of	ADP
fuelectenerg-13528	172	20	conditions	condition	NOUN
fuelectenerg-13528	172	21	provided	provide	VERB
fuelectenerg-13528	172	22	the	the	DET
fuelectenerg-13528	172	23	category	category	NOUN
fuelectenerg-13528	172	24	name	name	NOUN
fuelectenerg-13528	172	25	.	.	PUNCT
fuelectenerg-13528	173	1	3.7	3.7	NUM
fuelectenerg-13528	173	2	.	.	PUNCT
fuelectenerg-13528	173	3	performance	performance	NOUN
fuelectenerg-13528	173	4	evaluation	evaluation	NOUN
fuelectenerg-13528	173	5	model	model	NOUN
fuelectenerg-13528	173	6	performance	performance	NOUN
fuelectenerg-13528	173	7	is	be	AUX
fuelectenerg-13528	173	8	determined	determine	VERB
fuelectenerg-13528	173	9	by	by	ADP
fuelectenerg-13528	173	10	using	use	VERB
fuelectenerg-13528	173	11	various	various	ADJ
fuelectenerg-13528	173	12	performance	performance	NOUN
fuelectenerg-13528	173	13	metrics	metric	NOUN
fuelectenerg-13528	173	14	,	,	PUNCT
fuelectenerg-13528	173	15	including	include	VERB
fuelectenerg-13528	173	16	accuracy	accuracy	NOUN
fuelectenerg-13528	173	17	,	,	PUNCT
fuelectenerg-13528	173	18	precision	precision	NOUN
fuelectenerg-13528	173	19	,	,	PUNCT
fuelectenerg-13528	173	20	f1	f1	NOUN
fuelectenerg-13528	173	21	-	-	PUNCT
fuelectenerg-13528	173	22	score	score	NOUN
fuelectenerg-13528	173	23	,	,	PUNCT
fuelectenerg-13528	173	24	and	and	CCONJ
fuelectenerg-13528	173	25	recall	recall	NOUN
fuelectenerg-13528	173	26	(	(	PUNCT
fuelectenerg-13528	173	27	sensitivity	sensitivity	NOUN
fuelectenerg-13528	173	28	)	)	PUNCT
fuelectenerg-13528	173	29	.	.	PUNCT
fuelectenerg-13528	174	1	the	the	DET
fuelectenerg-13528	174	2	confusion	confusion	NOUN
fuelectenerg-13528	174	3	matrix	matrix	NOUN
fuelectenerg-13528	174	4	helps	helps	AUX
fuelectenerg-13528	174	5	identify	identify	VERB
fuelectenerg-13528	174	6	the	the	DET
fuelectenerg-13528	174	7	performance	performance	NOUN
fuelectenerg-13528	174	8	of	of	ADP
fuelectenerg-13528	174	9	each	each	DET
fuelectenerg-13528	174	10	model	model	NOUN
fuelectenerg-13528	174	11	by	by	ADP
fuelectenerg-13528	174	12	focusing	focus	VERB
fuelectenerg-13528	174	13	on	on	ADP
fuelectenerg-13528	174	14	four	four	NUM
fuelectenerg-13528	174	15	essential	essential	ADJ
fuelectenerg-13528	174	16	components	component	NOUN
fuelectenerg-13528	174	17	:	:	PUNCT
fuelectenerg-13528	174	18	true	true	ADJ
fuelectenerg-13528	174	19	positive	positive	ADJ
fuelectenerg-13528	174	20	(	(	PUNCT
fuelectenerg-13528	174	21	tp	tp	NOUN
fuelectenerg-13528	174	22	)	)	PUNCT
fuelectenerg-13528	174	23	,	,	PUNCT
fuelectenerg-13528	174	24	false	false	ADJ
fuelectenerg-13528	174	25	negative	negative	ADJ
fuelectenerg-13528	174	26	(	(	PUNCT
fuelectenerg-13528	174	27	fn	fn	NOUN
fuelectenerg-13528	174	28	)	)	PUNCT
fuelectenerg-13528	174	29	,	,	PUNCT
fuelectenerg-13528	174	30	true	true	ADJ
fuelectenerg-13528	174	31	negative	negative	ADJ
fuelectenerg-13528	174	32	(	(	PUNCT
fuelectenerg-13528	174	33	tn	tn	NOUN
fuelectenerg-13528	174	34	)	)	PUNCT
fuelectenerg-13528	174	35	,	,	PUNCT
fuelectenerg-13528	174	36	and	and	CCONJ
fuelectenerg-13528	174	37	false	false	ADJ
fuelectenerg-13528	174	38	positive	positive	ADJ
fuelectenerg-13528	174	39	(	(	PUNCT
fuelectenerg-13528	174	40	fp	fp	NOUN
fuelectenerg-13528	174	41	)	)	PUNCT
fuelectenerg-13528	174	42	.	.	PUNCT
fuelectenerg-13528	175	1	accuracy	accuracy	NOUN
fuelectenerg-13528	175	2	:	:	PUNCT
fuelectenerg-13528	175	3	the	the	DET
fuelectenerg-13528	175	4	percentage	percentage	NOUN
fuelectenerg-13528	175	5	of	of	ADP
fuelectenerg-13528	175	6	patients	patient	NOUN
fuelectenerg-13528	175	7	who	who	PRON
fuelectenerg-13528	175	8	get	get	VERB
fuelectenerg-13528	175	9	an	an	DET
fuelectenerg-13528	175	10	accurate	accurate	ADJ
fuelectenerg-13528	175	11	diagnosis	diagnosis	NOUN
fuelectenerg-13528	175	12	of	of	ADP
fuelectenerg-13528	175	13	heart	heart	NOUN
fuelectenerg-13528	175	14	disease	disease	NOUN
fuelectenerg-13528	175	15	is	be	AUX
fuelectenerg-13528	175	16	known	know	VERB
fuelectenerg-13528	175	17	as	as	ADP
fuelectenerg-13528	175	18	accuracy	accuracy	NOUN
fuelectenerg-13528	175	19	.	.	PUNCT
fuelectenerg-13528	176	1	it	it	PRON
fuelectenerg-13528	176	2	is	be	AUX
fuelectenerg-13528	176	3	computed	compute	VERB
fuelectenerg-13528	176	4	as	as	SCONJ
fuelectenerg-13528	176	5	follows	follow	VERB
fuelectenerg-13528	176	6	:	:	PUNCT
fuelectenerg-13528	176	7	tp	tp	PART
fuelectenerg-13528	176	8	tn	tn	PROPN
fuelectenerg-13528	176	9	accuracy	accuracy	NOUN
fuelectenerg-13528	176	10	tp	tp	ADP
fuelectenerg-13528	176	11	tn	tn	PROPN
fuelectenerg-13528	176	12	fp	fp	PROPN
fuelectenerg-13528	176	13	fn	fn	NOUN
fuelectenerg-13528	177	1	+	+	NOUN
fuelectenerg-13528	177	2	=	=	PUNCT
fuelectenerg-13528	178	1	+	+	PUNCT
fuelectenerg-13528	178	2	+	+	PUNCT
fuelectenerg-13528	178	3	+	+	CCONJ
fuelectenerg-13528	178	4	(	(	PUNCT
fuelectenerg-13528	178	5	3	3	NUM
fuelectenerg-13528	178	6	)	)	PUNCT
fuelectenerg-13528	178	7	precision	precision	NOUN
fuelectenerg-13528	178	8	:	:	PUNCT
fuelectenerg-13528	178	9	the	the	DET
fuelectenerg-13528	178	10	percentage	percentage	NOUN
fuelectenerg-13528	178	11	of	of	ADP
fuelectenerg-13528	178	12	individuals	individual	NOUN
fuelectenerg-13528	178	13	having	have	VERB
fuelectenerg-13528	178	14	heart	heart	NOUN
fuelectenerg-13528	178	15	disease	disease	NOUN
fuelectenerg-13528	178	16	who	who	PRON
fuelectenerg-13528	178	17	are	be	AUX
fuelectenerg-13528	178	18	predicted	predict	VERB
fuelectenerg-13528	178	19	to	to	PART
fuelectenerg-13528	178	20	have	have	VERB
fuelectenerg-13528	178	21	it	it	PRON
fuelectenerg-13528	178	22	is	be	AUX
fuelectenerg-13528	178	23	known	know	VERB
fuelectenerg-13528	178	24	as	as	ADP
fuelectenerg-13528	178	25	precision	precision	NOUN
fuelectenerg-13528	178	26	.	.	PUNCT
fuelectenerg-13528	179	1	it	it	PRON
fuelectenerg-13528	179	2	's	be	AUX
fuelectenerg-13528	179	3	determined	determine	VERB
fuelectenerg-13528	179	4	:	:	PUNCT
fuelectenerg-13528	179	5	tp	tp	PART
fuelectenerg-13528	179	6	precision	precision	VERB
fuelectenerg-13528	179	7	tp	tp	ADP
fuelectenerg-13528	179	8	fp	fp	PROPN
fuelectenerg-13528	179	9	=	=	PUNCT
fuelectenerg-13528	180	1	+	+	CCONJ
fuelectenerg-13528	180	2	(	(	PUNCT
fuelectenerg-13528	180	3	4	4	NUM
fuelectenerg-13528	180	4	)	)	PUNCT
fuelectenerg-13528	180	5	64	64	NUM
fuelectenerg-13528	180	6	g.	g.	PROPN
fuelectenerg-13528	180	7	gayatri	gayatri	PROPN
fuelectenerg-13528	180	8	lenka	lenka	PROPN
fuelectenerg-13528	180	9	,	,	PUNCT
fuelectenerg-13528	180	10	p.	p.	PROPN
fuelectenerg-13528	180	11	mishra	mishra	PROPN
fuelectenerg-13528	180	12	,	,	PUNCT
fuelectenerg-13528	180	13	j.	j.	PROPN
fuelectenerg-13528	180	14	routray	routray	PROPN
fuelectenerg-13528	180	15	,	,	PUNCT
fuelectenerg-13528	180	16	m.	m.	NOUN
fuelectenerg-13528	180	17	kandpal	kandpal	PROPN
fuelectenerg-13528	180	18	,	,	PUNCT
fuelectenerg-13528	180	19	r.	r.	PROPN
fuelectenerg-13528	180	20	kumar	kumar	PROPN
fuelectenerg-13528	180	21	dash	dash	PROPN
fuelectenerg-13528	180	22	,	,	PUNCT
fuelectenerg-13528	180	23	d.	d.	PROPN
fuelectenerg-13528	180	24	mishra	mishra	PROPN
fuelectenerg-13528	180	25	re	re	PROPN
fuelectenerg-13528	180	26	-	-	VERB
fuelectenerg-13528	180	27	call	call	VERB
fuelectenerg-13528	180	28	:	:	PUNCT
fuelectenerg-13528	180	29	it	it	PRON
fuelectenerg-13528	180	30	is	be	AUX
fuelectenerg-13528	180	31	the	the	DET
fuelectenerg-13528	180	32	measure	measure	NOUN
fuelectenerg-13528	180	33	indicating	indicate	VERB
fuelectenerg-13528	180	34	the	the	DET
fuelectenerg-13528	180	35	ratio	ratio	NOUN
fuelectenerg-13528	180	36	of	of	ADP
fuelectenerg-13528	180	37	patients	patient	NOUN
fuelectenerg-13528	180	38	predicted	predict	VERB
fuelectenerg-13528	180	39	to	to	PART
fuelectenerg-13528	180	40	have	have	VERB
fuelectenerg-13528	180	41	heart	heart	NOUN
fuelectenerg-13528	180	42	disease	disease	NOUN
fuelectenerg-13528	180	43	to	to	ADP
fuelectenerg-13528	180	44	those	those	PRON
fuelectenerg-13528	180	45	who	who	PRON
fuelectenerg-13528	180	46	have	have	VERB
fuelectenerg-13528	180	47	it	it	PRON
fuelectenerg-13528	180	48	and	and	CCONJ
fuelectenerg-13528	180	49	is	be	AUX
fuelectenerg-13528	180	50	expressed	express	VERB
fuelectenerg-13528	180	51	as	as	ADP
fuelectenerg-13528	180	52	:	:	PUNCT
fuelectenerg-13528	180	53	tp	tp	PART
fuelectenerg-13528	180	54	recall	recall	VERB
fuelectenerg-13528	180	55	tp	tp	ADP
fuelectenerg-13528	180	56	fn	fn	NOUN
fuelectenerg-13528	180	57	=	=	PUNCT
fuelectenerg-13528	181	1	+	+	CCONJ
fuelectenerg-13528	181	2	(	(	PUNCT
fuelectenerg-13528	181	3	5	5	NUM
fuelectenerg-13528	181	4	)	)	PUNCT
fuelectenerg-13528	181	5	f1	f1	NOUN
fuelectenerg-13528	181	6	-	-	PUNCT
fuelectenerg-13528	181	7	score	score	NOUN
fuelectenerg-13528	181	8	:	:	PUNCT
fuelectenerg-13528	181	9	it	it	PRON
fuelectenerg-13528	181	10	determines	determine	VERB
fuelectenerg-13528	181	11	the	the	DET
fuelectenerg-13528	181	12	test	test	NOUN
fuelectenerg-13528	181	13	's	's	PART
fuelectenerg-13528	181	14	accuracy	accuracy	NOUN
fuelectenerg-13528	181	15	.	.	PUNCT
fuelectenerg-13528	182	1	it	it	PRON
fuelectenerg-13528	182	2	is	be	AUX
fuelectenerg-13528	182	3	computed	compute	VERB
fuelectenerg-13528	182	4	as	as	SCONJ
fuelectenerg-13528	182	5	follows	follow	VERB
fuelectenerg-13528	182	6	:	:	PUNCT
fuelectenerg-13528	182	7	2	2	NUM
fuelectenerg-13528	182	8	1	1	NUM
fuelectenerg-13528	182	9	precision	precision	NOUN
fuelectenerg-13528	182	10	recall	recall	NOUN
fuelectenerg-13528	182	11	f	f	PROPN
fuelectenerg-13528	182	12	score	score	NOUN
fuelectenerg-13528	182	13	precision	precision	NOUN
fuelectenerg-13528	182	14	recall	recall	VERB
fuelectenerg-13528	182	15			VERB
fuelectenerg-13528	182	16			PROPN
fuelectenerg-13528	182	17	−	−	NOUN
fuelectenerg-13528	183	1	=	=	SYM
fuelectenerg-13528	184	1	+	+	CCONJ
fuelectenerg-13528	185	1	(	(	PUNCT
fuelectenerg-13528	185	2	6	6	NUM
fuelectenerg-13528	185	3	)	)	PUNCT
fuelectenerg-13528	185	4	3.8	3.8	NUM
fuelectenerg-13528	185	5	.	.	PUNCT
fuelectenerg-13528	186	1	fuzzy	fuzzy	ADJ
fuelectenerg-13528	186	2	logic	logic	NOUN
fuelectenerg-13528	186	3	fuzzy	fuzzy	ADJ
fuelectenerg-13528	186	4	logic	logic	NOUN
fuelectenerg-13528	186	5	is	be	AUX
fuelectenerg-13528	186	6	designed	design	VERB
fuelectenerg-13528	186	7	to	to	PART
fuelectenerg-13528	186	8	handle	handle	VERB
fuelectenerg-13528	186	9	reasoning	reasoning	NOUN
fuelectenerg-13528	186	10	that	that	PRON
fuelectenerg-13528	186	11	involves	involve	VERB
fuelectenerg-13528	186	12	uncertainty	uncertainty	NOUN
fuelectenerg-13528	186	13	and	and	CCONJ
fuelectenerg-13528	186	14	imprecision	imprecision	NOUN
fuelectenerg-13528	186	15	,	,	PUNCT
fuelectenerg-13528	186	16	mimicking	mimic	VERB
fuelectenerg-13528	186	17	human	human	ADJ
fuelectenerg-13528	186	18	decision	decision	NOUN
fuelectenerg-13528	186	19	-	-	PUNCT
fuelectenerg-13528	186	20	making	make	VERB
fuelectenerg-13528	186	21	processes	process	NOUN
fuelectenerg-13528	186	22	.	.	PUNCT
fuelectenerg-13528	187	1	unlike	unlike	ADP
fuelectenerg-13528	187	2	traditional	traditional	ADJ
fuelectenerg-13528	187	3	binary	binary	ADJ
fuelectenerg-13528	187	4	logic	logic	NOUN
fuelectenerg-13528	187	5	,	,	PUNCT
fuelectenerg-13528	187	6	which	which	PRON
fuelectenerg-13528	187	7	operates	operate	VERB
fuelectenerg-13528	187	8	with	with	ADP
fuelectenerg-13528	187	9	strict	strict	ADJ
fuelectenerg-13528	187	10	binary	binary	ADJ
fuelectenerg-13528	187	11	values	value	NOUN
fuelectenerg-13528	187	12	,	,	PUNCT
fuelectenerg-13528	187	13	fuzzy	fuzzy	ADJ
fuelectenerg-13528	187	14	logic	logic	NOUN
fuelectenerg-13528	187	15	employs	employ	VERB
fuelectenerg-13528	187	16	degrees	degree	NOUN
fuelectenerg-13528	187	17	of	of	ADP
fuelectenerg-13528	187	18	truth	truth	NOUN
fuelectenerg-13528	187	19	,	,	PUNCT
fuelectenerg-13528	187	20	allowing	allow	VERB
fuelectenerg-13528	187	21	for	for	ADP
fuelectenerg-13528	187	22	more	more	ADV
fuelectenerg-13528	187	23	nuanced	nuanced	ADJ
fuelectenerg-13528	187	24	and	and	CCONJ
fuelectenerg-13528	187	25	flexible	flexible	ADJ
fuelectenerg-13528	187	26	modeling	modeling	NOUN
fuelectenerg-13528	187	27	of	of	ADP
fuelectenerg-13528	187	28	complex	complex	ADJ
fuelectenerg-13528	187	29	systems	system	NOUN
fuelectenerg-13528	187	30	.	.	PUNCT
fuelectenerg-13528	188	1	by	by	ADP
fuelectenerg-13528	188	2	incorporating	incorporate	VERB
fuelectenerg-13528	188	3	linguistic	linguistic	ADJ
fuelectenerg-13528	188	4	variables	variable	NOUN
fuelectenerg-13528	188	5	and	and	CCONJ
fuelectenerg-13528	188	6	membership	membership	NOUN
fuelectenerg-13528	188	7	functions	function	NOUN
fuelectenerg-13528	188	8	,	,	PUNCT
fuelectenerg-13528	188	9	it	it	PRON
fuelectenerg-13528	188	10	is	be	AUX
fuelectenerg-13528	188	11	particularly	particularly	ADV
fuelectenerg-13528	188	12	well	well	ADV
fuelectenerg-13528	188	13	-	-	PUNCT
fuelectenerg-13528	188	14	suited	suit	VERB
fuelectenerg-13528	188	15	for	for	ADP
fuelectenerg-13528	188	16	applications	application	NOUN
fuelectenerg-13528	188	17	requiring	require	VERB
fuelectenerg-13528	188	18	approximate	approximate	ADJ
fuelectenerg-13528	188	19	reasoning	reasoning	NOUN
fuelectenerg-13528	188	20	,	,	PUNCT
fuelectenerg-13528	188	21	such	such	ADJ
fuelectenerg-13528	188	22	as	as	ADP
fuelectenerg-13528	188	23	control	control	NOUN
fuelectenerg-13528	188	24	systems	system	NOUN
fuelectenerg-13528	188	25	,	,	PUNCT
fuelectenerg-13528	188	26	data	datum	NOUN
fuelectenerg-13528	188	27	classification	classification	NOUN
fuelectenerg-13528	188	28	,	,	PUNCT
fuelectenerg-13528	188	29	and	and	CCONJ
fuelectenerg-13528	188	30	decision	decision	NOUN
fuelectenerg-13528	188	31	-	-	PUNCT
fuelectenerg-13528	188	32	making	making	NOUN
fuelectenerg-13528	188	33	under	under	ADP
fuelectenerg-13528	188	34	ambiguity	ambiguity	NOUN
fuelectenerg-13528	188	35	.	.	PUNCT
fuelectenerg-13528	189	1	its	its	PRON
fuelectenerg-13528	189	2	adaptability	adaptability	NOUN
fuelectenerg-13528	189	3	makes	make	VERB
fuelectenerg-13528	189	4	it	it	PRON
fuelectenerg-13528	189	5	a	a	DET
fuelectenerg-13528	189	6	valuable	valuable	ADJ
fuelectenerg-13528	189	7	tool	tool	NOUN
fuelectenerg-13528	189	8	for	for	ADP
fuelectenerg-13528	189	9	addressing	address	VERB
fuelectenerg-13528	189	10	real	real	ADJ
fuelectenerg-13528	189	11	-	-	PUNCT
fuelectenerg-13528	189	12	world	world	NOUN
fuelectenerg-13528	189	13	problems	problem	NOUN
fuelectenerg-13528	189	14	where	where	SCONJ
fuelectenerg-13528	189	15	exact	exact	ADJ
fuelectenerg-13528	189	16	values	value	NOUN
fuelectenerg-13528	189	17	are	be	AUX
fuelectenerg-13528	189	18	difficult	difficult	ADJ
fuelectenerg-13528	189	19	to	to	PART
fuelectenerg-13528	189	20	ascertain	ascertain	VERB
fuelectenerg-13528	189	21	.	.	PUNCT
fuelectenerg-13528	190	1	fig	fig	NOUN
fuelectenerg-13528	190	2	.	.	PUNCT
fuelectenerg-13528	191	1	4(a	4(a	NUM
fuelectenerg-13528	191	2	-	-	PUNCT
fuelectenerg-13528	191	3	e	e	NOUN
fuelectenerg-13528	191	4	)	)	PUNCT
fuelectenerg-13528	191	5	represents	represent	VERB
fuelectenerg-13528	191	6	membership	membership	NOUN
fuelectenerg-13528	191	7	functions	function	NOUN
fuelectenerg-13528	191	8	of	of	ADP
fuelectenerg-13528	191	9	different	different	ADJ
fuelectenerg-13528	191	10	attributes	attribute	NOUN
fuelectenerg-13528	191	11	of	of	ADP
fuelectenerg-13528	191	12	framingham	framingham	PROPN
fuelectenerg-13528	191	13	dataset	dataset	PROPN
fuelectenerg-13528	191	14	.	.	PUNCT
fuelectenerg-13528	192	1	table	table	NOUN
fuelectenerg-13528	192	2	3	3	NUM
fuelectenerg-13528	192	3	below	below	ADV
fuelectenerg-13528	192	4	represents	represent	VERB
fuelectenerg-13528	192	5	some	some	PRON
fuelectenerg-13528	192	6	of	of	ADP
fuelectenerg-13528	192	7	the	the	DET
fuelectenerg-13528	192	8	fuzzy	fuzzy	ADJ
fuelectenerg-13528	192	9	logic	logic	NOUN
fuelectenerg-13528	192	10	rules	rule	NOUN
fuelectenerg-13528	192	11	which	which	PRON
fuelectenerg-13528	192	12	we	we	PRON
fuelectenerg-13528	192	13	have	have	AUX
fuelectenerg-13528	192	14	applied	apply	VERB
fuelectenerg-13528	192	15	to	to	ADP
fuelectenerg-13528	192	16	our	our	PRON
fuelectenerg-13528	192	17	best	good	ADJ
fuelectenerg-13528	192	18	performing	perform	VERB
fuelectenerg-13528	192	19	model	model	NOUN
fuelectenerg-13528	192	20	.	.	PUNCT
fuelectenerg-13528	193	1	fig	fig	NOUN
fuelectenerg-13528	193	2	.	.	PUNCT
fuelectenerg-13528	194	1	4(a	4(a	NUM
fuelectenerg-13528	194	2	)	)	PUNCT
fuelectenerg-13528	194	3	membership	membership	NOUN
fuelectenerg-13528	194	4	function	function	NOUN
fuelectenerg-13528	194	5	of	of	ADP
fuelectenerg-13528	194	6	age	age	NOUN
fuelectenerg-13528	194	7	fig	fig	NOUN
fuelectenerg-13528	194	8	.	.	PUNCT
fuelectenerg-13528	195	1	4(b	4(b	NUM
fuelectenerg-13528	195	2	)	)	PUNCT
fuelectenerg-13528	195	3	membership	membership	NOUN
fuelectenerg-13528	195	4	function	function	NOUN
fuelectenerg-13528	195	5	of	of	ADP
fuelectenerg-13528	195	6	gender	gender	NOUN
fuelectenerg-13528	195	7	optimizing	optimize	VERB
fuelectenerg-13528	195	8	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	195	9	disease	disease	NOUN
fuelectenerg-13528	195	10	diagnosis	diagnosis	NOUN
fuelectenerg-13528	195	11	:	:	PUNCT
fuelectenerg-13528	195	12	a	a	DET
fuelectenerg-13528	195	13	meta	meta	ADJ
fuelectenerg-13528	195	14	-	-	PUNCT
fuelectenerg-13528	195	15	heuristic	heuristic	ADJ
fuelectenerg-13528	195	16	and	and	CCONJ
fuelectenerg-13528	195	17	fuzzy	fuzzy	ADJ
fuelectenerg-13528	195	18	logic	logic	NOUN
fuelectenerg-13528	195	19	-	-	PUNCT
fuelectenerg-13528	195	20	based	base	VERB
fuelectenerg-13528	195	21	approach	approach	NOUN
fuelectenerg-13528	195	22	65	65	NUM
fuelectenerg-13528	195	23	fig	fig	NOUN
fuelectenerg-13528	195	24	.	.	PUNCT
fuelectenerg-13528	196	1	4(c	4(c	X
fuelectenerg-13528	196	2	)	)	PUNCT
fuelectenerg-13528	196	3	membership	membership	NOUN
fuelectenerg-13528	196	4	function	function	NOUN
fuelectenerg-13528	196	5	of	of	ADP
fuelectenerg-13528	196	6	cigperday	cigperday	PROPN
fuelectenerg-13528	196	7	fig	fig	PROPN
fuelectenerg-13528	196	8	.	.	PUNCT
fuelectenerg-13528	197	1	4(d	4(d	NUM
fuelectenerg-13528	197	2	)	)	PUNCT
fuelectenerg-13528	197	3	membership	membership	NOUN
fuelectenerg-13528	197	4	function	function	NOUN
fuelectenerg-13528	197	5	of	of	ADP
fuelectenerg-13528	197	6	glucose	glucose	NOUN
fuelectenerg-13528	197	7	fig	fig	NOUN
fuelectenerg-13528	197	8	.	.	PUNCT
fuelectenerg-13528	198	1	4(e	4(e	NUM
fuelectenerg-13528	198	2	)	)	PUNCT
fuelectenerg-13528	198	3	membership	membership	NOUN
fuelectenerg-13528	198	4	function	function	NOUN
fuelectenerg-13528	198	5	of	of	ADP
fuelectenerg-13528	198	6	risk	risk	NOUN
fuelectenerg-13528	198	7	4	4	NUM
fuelectenerg-13528	198	8	.	.	PUNCT
fuelectenerg-13528	199	1	meta	meta	ADJ
fuelectenerg-13528	199	2	-	-	PUNCT
fuelectenerg-13528	199	3	heuristics	heuristic	NOUN
fuelectenerg-13528	199	4	algorithms	algorithm	NOUN
fuelectenerg-13528	199	5	meta	meta	ADJ
fuelectenerg-13528	199	6	-	-	PUNCT
fuelectenerg-13528	199	7	heuristic	heuristic	ADJ
fuelectenerg-13528	199	8	algorithms	algorithm	NOUN
fuelectenerg-13528	199	9	are	be	AUX
fuelectenerg-13528	199	10	high	high	ADJ
fuelectenerg-13528	199	11	-	-	PUNCT
fuelectenerg-13528	199	12	level	level	NOUN
fuelectenerg-13528	199	13	optimization	optimization	NOUN
fuelectenerg-13528	199	14	techniques	technique	NOUN
fuelectenerg-13528	199	15	designed	design	VERB
fuelectenerg-13528	199	16	to	to	PART
fuelectenerg-13528	199	17	solve	solve	VERB
fuelectenerg-13528	199	18	complex	complex	ADJ
fuelectenerg-13528	199	19	problems	problem	NOUN
fuelectenerg-13528	199	20	where	where	SCONJ
fuelectenerg-13528	199	21	traditional	traditional	ADJ
fuelectenerg-13528	199	22	approaches	approach	NOUN
fuelectenerg-13528	199	23	like	like	ADP
fuelectenerg-13528	199	24	brute	brute	NOUN
fuelectenerg-13528	199	25	-	-	PUNCT
fuelectenerg-13528	199	26	force	force	NOUN
fuelectenerg-13528	199	27	or	or	CCONJ
fuelectenerg-13528	199	28	exhaustive	exhaustive	ADJ
fuelectenerg-13528	199	29	search	search	NOUN
fuelectenerg-13528	199	30	are	be	AUX
fuelectenerg-13528	199	31	inefficient	inefficient	ADJ
fuelectenerg-13528	199	32	[	[	X
fuelectenerg-13528	199	33	23	23	NUM
fuelectenerg-13528	199	34	]	]	PUNCT
fuelectenerg-13528	199	35	.	.	PUNCT
fuelectenerg-13528	200	1	these	these	DET
fuelectenerg-13528	200	2	algorithms	algorithm	NOUN
fuelectenerg-13528	200	3	draw	draw	VERB
fuelectenerg-13528	200	4	inspiration	inspiration	NOUN
fuelectenerg-13528	200	5	from	from	ADP
fuelectenerg-13528	200	6	processes	process	NOUN
fuelectenerg-13528	200	7	and	and	CCONJ
fuelectenerg-13528	200	8	events	event	NOUN
fuelectenerg-13528	200	9	seen	see	VERB
fuelectenerg-13528	200	10	in	in	ADP
fuelectenerg-13528	200	11	nature	nature	NOUN
fuelectenerg-13528	200	12	,	,	PUNCT
fuelectenerg-13528	200	13	taking	take	VERB
fuelectenerg-13528	200	14	cues	cue	NOUN
fuelectenerg-13528	200	15	from	from	ADP
fuelectenerg-13528	200	16	how	how	SCONJ
fuelectenerg-13528	200	17	nature	nature	NOUN
fuelectenerg-13528	200	18	finds	find	VERB
fuelectenerg-13528	200	19	efficient	efficient	ADJ
fuelectenerg-13528	200	20	and	and	CCONJ
fuelectenerg-13528	200	21	effective	effective	ADJ
fuelectenerg-13528	200	22	solutions	solution	NOUN
fuelectenerg-13528	200	23	.	.	PUNCT
fuelectenerg-13528	201	1	in	in	ADP
fuelectenerg-13528	201	2	summary	summary	NOUN
fuelectenerg-13528	201	3	,	,	PUNCT
fuelectenerg-13528	201	4	meta	meta	ADJ
fuelectenerg-13528	201	5	-	-	PUNCT
fuelectenerg-13528	201	6	heuristic	heuristic	ADJ
fuelectenerg-13528	201	7	algorithms	algorithm	NOUN
fuelectenerg-13528	201	8	mimic	mimic	VERB
fuelectenerg-13528	201	9	natural	natural	ADJ
fuelectenerg-13528	201	10	processes	process	NOUN
fuelectenerg-13528	201	11	to	to	PART
fuelectenerg-13528	201	12	optimize	optimize	VERB
fuelectenerg-13528	201	13	complex	complex	ADJ
fuelectenerg-13528	201	14	problems	problem	NOUN
fuelectenerg-13528	201	15	efficiently	efficiently	ADV
fuelectenerg-13528	201	16	.	.	PUNCT
fuelectenerg-13528	202	1	an	an	DET
fuelectenerg-13528	202	2	optimization	optimization	NOUN
fuelectenerg-13528	202	3	algorithm	algorithm	NOUN
fuelectenerg-13528	202	4	is	be	AUX
fuelectenerg-13528	202	5	a	a	DET
fuelectenerg-13528	202	6	procedure	procedure	NOUN
fuelectenerg-13528	202	7	used	use	VERB
fuelectenerg-13528	202	8	to	to	PART
fuelectenerg-13528	202	9	analyze	analyze	VERB
fuelectenerg-13528	202	10	different	different	ADJ
fuelectenerg-13528	202	11	solutions	solution	NOUN
fuelectenerg-13528	202	12	to	to	PART
fuelectenerg-13528	202	13	find	find	VERB
fuelectenerg-13528	202	14	the	the	DET
fuelectenerg-13528	202	15	best	good	ADJ
fuelectenerg-13528	202	16	or	or	CCONJ
fuelectenerg-13528	202	17	most	most	ADV
fuelectenerg-13528	202	18	practical	practical	ADJ
fuelectenerg-13528	202	19	one	one	NUM
fuelectenerg-13528	202	20	.	.	PUNCT
fuelectenerg-13528	203	1	the	the	DET
fuelectenerg-13528	203	2	search	search	NOUN
fuelectenerg-13528	203	3	and	and	CCONJ
fuelectenerg-13528	203	4	optimization	optimization	NOUN
fuelectenerg-13528	203	5	techniques	technique	NOUN
fuelectenerg-13528	203	6	offered	offer	VERB
fuelectenerg-13528	203	7	by	by	ADP
fuelectenerg-13528	203	8	several	several	ADJ
fuelectenerg-13528	203	9	iterations	iteration	NOUN
fuelectenerg-13528	203	10	of	of	ADP
fuelectenerg-13528	203	11	nature	nature	NOUN
fuelectenerg-13528	203	12	-	-	PUNCT
fuelectenerg-13528	203	13	inspired	inspire	VERB
fuelectenerg-13528	203	14	algorithms	algorithm	NOUN
fuelectenerg-13528	203	15	significantly	significantly	ADV
fuelectenerg-13528	203	16	influence	influence	VERB
fuelectenerg-13528	203	17	the	the	DET
fuelectenerg-13528	203	18	diagnostic	diagnostic	ADJ
fuelectenerg-13528	203	19	procedure	procedure	NOUN
fuelectenerg-13528	203	20	66	66	NUM
fuelectenerg-13528	203	21	g.	g.	PROPN
fuelectenerg-13528	203	22	gayatri	gayatri	PROPN
fuelectenerg-13528	203	23	lenka	lenka	PROPN
fuelectenerg-13528	203	24	,	,	PUNCT
fuelectenerg-13528	203	25	p.	p.	PROPN
fuelectenerg-13528	203	26	mishra	mishra	PROPN
fuelectenerg-13528	203	27	,	,	PUNCT
fuelectenerg-13528	203	28	j.	j.	PROPN
fuelectenerg-13528	203	29	routray	routray	PROPN
fuelectenerg-13528	203	30	,	,	PUNCT
fuelectenerg-13528	203	31	m.	m.	NOUN
fuelectenerg-13528	203	32	kandpal	kandpal	PROPN
fuelectenerg-13528	203	33	,	,	PUNCT
fuelectenerg-13528	203	34	r.	r.	PROPN
fuelectenerg-13528	203	35	kumar	kumar	PROPN
fuelectenerg-13528	203	36	dash	dash	PROPN
fuelectenerg-13528	203	37	,	,	PUNCT
fuelectenerg-13528	203	38	d.	d.	PROPN
fuelectenerg-13528	203	39	mishra	mishra	PROPN
fuelectenerg-13528	203	40	and	and	CCONJ
fuelectenerg-13528	203	41	results	result	VERB
fuelectenerg-13528	203	42	.	.	PUNCT
fuelectenerg-13528	204	1	this	this	PRON
fuelectenerg-13528	204	2	has	have	VERB
fuelectenerg-13528	204	3	an	an	DET
fuelectenerg-13528	204	4	impact	impact	NOUN
fuelectenerg-13528	204	5	on	on	ADP
fuelectenerg-13528	204	6	the	the	DET
fuelectenerg-13528	204	7	algorithm	algorithm	NOUN
fuelectenerg-13528	204	8	's	's	PART
fuelectenerg-13528	204	9	capacity	capacity	NOUN
fuelectenerg-13528	204	10	to	to	PART
fuelectenerg-13528	204	11	navigate	navigate	VERB
fuelectenerg-13528	204	12	across	across	ADP
fuelectenerg-13528	204	13	complex	complex	ADJ
fuelectenerg-13528	204	14	search	search	NOUN
fuelectenerg-13528	204	15	spaces	space	NOUN
fuelectenerg-13528	204	16	and	and	CCONJ
fuelectenerg-13528	204	17	its	its	PRON
fuelectenerg-13528	204	18	convergence	convergence	NOUN
fuelectenerg-13528	204	19	time	time	NOUN
fuelectenerg-13528	204	20	to	to	ADP
fuelectenerg-13528	204	21	the	the	DET
fuelectenerg-13528	204	22	optimal	optimal	ADJ
fuelectenerg-13528	204	23	answer	answer	NOUN
fuelectenerg-13528	204	24	.	.	PUNCT
fuelectenerg-13528	205	1	now	now	ADV
fuelectenerg-13528	205	2	,	,	PUNCT
fuelectenerg-13528	205	3	we	we	PRON
fuelectenerg-13528	205	4	will	will	AUX
fuelectenerg-13528	205	5	look	look	VERB
fuelectenerg-13528	205	6	at	at	ADP
fuelectenerg-13528	205	7	some	some	PRON
fuelectenerg-13528	205	8	of	of	ADP
fuelectenerg-13528	205	9	the	the	DET
fuelectenerg-13528	205	10	meta	meta	ADJ
fuelectenerg-13528	205	11	-	-	PUNCT
fuelectenerg-13528	205	12	heuristic	heuristic	ADJ
fuelectenerg-13528	205	13	based	base	VERB
fuelectenerg-13528	205	14	optimization	optimization	NOUN
fuelectenerg-13528	205	15	algorithms	algorithm	NOUN
fuelectenerg-13528	205	16	used	use	VERB
fuelectenerg-13528	205	17	in	in	ADP
fuelectenerg-13528	205	18	our	our	PRON
fuelectenerg-13528	205	19	study	study	NOUN
fuelectenerg-13528	205	20	for	for	ADP
fuelectenerg-13528	205	21	feature	feature	NOUN
fuelectenerg-13528	205	22	selection	selection	NOUN
fuelectenerg-13528	205	23	.	.	PUNCT
fuelectenerg-13528	206	1	table	table	NOUN
fuelectenerg-13528	206	2	3	3	NUM
fuelectenerg-13528	206	3	below	below	ADV
fuelectenerg-13528	206	4	shows	show	VERB
fuelectenerg-13528	206	5	the	the	DET
fuelectenerg-13528	206	6	feature	feature	NOUN
fuelectenerg-13528	206	7	selected	select	VERB
fuelectenerg-13528	206	8	by	by	ADP
fuelectenerg-13528	206	9	the	the	DET
fuelectenerg-13528	206	10	three	three	NUM
fuelectenerg-13528	206	11	meta	meta	ADJ
fuelectenerg-13528	206	12	-	-	PUNCT
fuelectenerg-13528	206	13	heuristic	heuristic	ADJ
fuelectenerg-13528	206	14	algorithms	algorithms	NOUN
fuelectenerg-13528	206	15	for	for	ADP
fuelectenerg-13528	206	16	both	both	CCONJ
fuelectenerg-13528	206	17	the	the	DET
fuelectenerg-13528	206	18	datasets	dataset	NOUN
fuelectenerg-13528	206	19	.	.	PUNCT
fuelectenerg-13528	207	1	4.1	4.1	NUM
fuelectenerg-13528	207	2	.	.	PUNCT
fuelectenerg-13528	207	3	cuckoo	cuckoo	NOUN
fuelectenerg-13528	207	4	search	search	NOUN
fuelectenerg-13528	207	5	algorithm	algorithm	NOUN
fuelectenerg-13528	207	6	(	(	PUNCT
fuelectenerg-13528	207	7	csa	csa	PROPN
fuelectenerg-13528	207	8	)	)	PUNCT
fuelectenerg-13528	207	9	one	one	NUM
fuelectenerg-13528	207	10	significant	significant	ADJ
fuelectenerg-13528	207	11	population	population	NOUN
fuelectenerg-13528	207	12	-	-	PUNCT
fuelectenerg-13528	207	13	based	base	VERB
fuelectenerg-13528	207	14	optimization	optimization	NOUN
fuelectenerg-13528	207	15	technique	technique	NOUN
fuelectenerg-13528	207	16	is	be	AUX
fuelectenerg-13528	207	17	cuckoo	cuckoo	NOUN
fuelectenerg-13528	207	18	search	search	NOUN
fuelectenerg-13528	207	19	.	.	PUNCT
fuelectenerg-13528	208	1	smearing	smear	VERB
fuelectenerg-13528	208	2	their	their	PRON
fuelectenerg-13528	208	3	eggs	egg	NOUN
fuelectenerg-13528	208	4	in	in	ADP
fuelectenerg-13528	208	5	the	the	DET
fuelectenerg-13528	208	6	shelters	shelter	NOUN
fuelectenerg-13528	208	7	of	of	ADP
fuelectenerg-13528	208	8	various	various	ADJ
fuelectenerg-13528	208	9	feeding	feeding	NOUN
fuelectenerg-13528	208	10	birds	bird	NOUN
fuelectenerg-13528	208	11	is	be	AUX
fuelectenerg-13528	208	12	the	the	DET
fuelectenerg-13528	208	13	basic	basic	ADJ
fuelectenerg-13528	208	14	idea	idea	NOUN
fuelectenerg-13528	208	15	behind	behind	ADP
fuelectenerg-13528	208	16	it	it	PRON
fuelectenerg-13528	208	17	.	.	PUNCT
fuelectenerg-13528	209	1	inspired	inspire	VERB
fuelectenerg-13528	209	2	by	by	ADP
fuelectenerg-13528	209	3	breeding	breed	VERB
fuelectenerg-13528	209	4	behavior	behavior	NOUN
fuelectenerg-13528	209	5	,	,	PUNCT
fuelectenerg-13528	209	6	cuckoo	cuckoo	NOUN
fuelectenerg-13528	209	7	search	search	NOUN
fuelectenerg-13528	209	8	is	be	AUX
fuelectenerg-13528	209	9	used	use	VERB
fuelectenerg-13528	209	10	to	to	PART
fuelectenerg-13528	209	11	solve	solve	VERB
fuelectenerg-13528	209	12	several	several	ADJ
fuelectenerg-13528	209	13	optimization	optimization	NOUN
fuelectenerg-13528	209	14	problems	problem	NOUN
fuelectenerg-13528	209	15	.	.	PUNCT
fuelectenerg-13528	210	1	the	the	DET
fuelectenerg-13528	210	2	algorithm	algorithm	NOUN
fuelectenerg-13528	210	3	relies	rely	VERB
fuelectenerg-13528	210	4	on	on	ADP
fuelectenerg-13528	210	5	two	two	NUM
fuelectenerg-13528	210	6	main	main	ADJ
fuelectenerg-13528	210	7	concepts	concept	NOUN
fuelectenerg-13528	210	8	:	:	PUNCT
fuelectenerg-13528	210	9	levy	levy	NOUN
fuelectenerg-13528	210	10	flight	flight	NOUN
fuelectenerg-13528	210	11	:	:	PUNCT
fuelectenerg-13528	210	12	a	a	DET
fuelectenerg-13528	210	13	random	random	ADJ
fuelectenerg-13528	210	14	walk	walk	NOUN
fuelectenerg-13528	210	15	,	,	PUNCT
fuelectenerg-13528	210	16	used	use	VERB
fuelectenerg-13528	210	17	to	to	PART
fuelectenerg-13528	210	18	search	search	VERB
fuelectenerg-13528	210	19	for	for	ADP
fuelectenerg-13528	210	20	optimal	optimal	ADJ
fuelectenerg-13528	210	21	solutions	solution	NOUN
fuelectenerg-13528	210	22	,	,	PUNCT
fuelectenerg-13528	210	23	which	which	PRON
fuelectenerg-13528	210	24	is	be	AUX
fuelectenerg-13528	210	25	inspired	inspire	VERB
fuelectenerg-13528	210	26	by	by	ADP
fuelectenerg-13528	210	27	the	the	DET
fuelectenerg-13528	210	28	movement	movement	NOUN
fuelectenerg-13528	210	29	patterns	pattern	NOUN
fuelectenerg-13528	210	30	of	of	ADP
fuelectenerg-13528	210	31	the	the	DET
fuelectenerg-13528	210	32	cuckoo	cuckoo	NOUN
fuelectenerg-13528	210	33	.	.	PUNCT
fuelectenerg-13528	211	1	u	u	NOUN
fuelectenerg-13528	211	2	and	and	CCONJ
fuelectenerg-13528	211	3	v	v	NOUN
fuelectenerg-13528	211	4	are	be	AUX
fuelectenerg-13528	211	5	random	random	ADJ
fuelectenerg-13528	211	6	variables	variable	NOUN
fuelectenerg-13528	211	7	drawn	draw	VERB
fuelectenerg-13528	211	8	from	from	ADP
fuelectenerg-13528	211	9	normal	normal	ADJ
fuelectenerg-13528	211	10	distributions	distribution	NOUN
fuelectenerg-13528	211	11	,	,	PUNCT
fuelectenerg-13528	211	12	and	and	CCONJ
fuelectenerg-13528	211	13	their	their	PRON
fuelectenerg-13528	211	14	ratio	ratio	NOUN
fuelectenerg-13528	211	15	defines	define	VERB
fuelectenerg-13528	211	16	the	the	DET
fuelectenerg-13528	211	17	step	step	NOUN
fuelectenerg-13528	211	18	size	size	NOUN
fuelectenerg-13528	211	19	and	and	CCONJ
fuelectenerg-13528	211	20	value	value	NOUN
fuelectenerg-13528	211	21	of	of	ADP
fuelectenerg-13528	211	22	1.5	1.5	NUM
fuelectenerg-13528	211	23	is	be	AUX
fuelectenerg-13528	211	24	set	set	VERB
fuelectenerg-13528	211	25	to	to	AUX
fuelectenerg-13528	211	26	beta	beta	VERB
fuelectenerg-13528	211	27	.	.	PUNCT
fuelectenerg-13528	211	28	1	1	NUM
fuelectenerg-13528	211	29	beta	beta	NOUN
fuelectenerg-13528	211	30	u	u	NOUN
fuelectenerg-13528	211	31	step	step	NOUN
fuelectenerg-13528	211	32	v	v	ADP
fuelectenerg-13528	211	33	=	=	SYM
fuelectenerg-13528	211	34	(	(	PUNCT
fuelectenerg-13528	211	35	7	7	X
fuelectenerg-13528	211	36	)	)	PUNCT
fuelectenerg-13528	211	37	nest	nest	NOUN
fuelectenerg-13528	211	38	evolution	evolution	NOUN
fuelectenerg-13528	211	39	:	:	PUNCT
fuelectenerg-13528	211	40	the	the	DET
fuelectenerg-13528	211	41	algorithm	algorithm	NOUN
fuelectenerg-13528	211	42	uses	use	VERB
fuelectenerg-13528	211	43	a	a	DET
fuelectenerg-13528	211	44	population	population	NOUN
fuelectenerg-13528	211	45	of	of	ADP
fuelectenerg-13528	211	46	solutions	solution	NOUN
fuelectenerg-13528	211	47	,	,	PUNCT
fuelectenerg-13528	211	48	or	or	CCONJ
fuelectenerg-13528	211	49	"	"	PUNCT
fuelectenerg-13528	211	50	nests	nest	NOUN
fuelectenerg-13528	211	51	,	,	PUNCT
fuelectenerg-13528	211	52	"	"	PUNCT
fuelectenerg-13528	211	53	and	and	CCONJ
fuelectenerg-13528	211	54	iteratively	iteratively	ADV
fuelectenerg-13528	211	55	improves	improve	VERB
fuelectenerg-13528	211	56	them	they	PRON
fuelectenerg-13528	211	57	by	by	ADP
fuelectenerg-13528	211	58	searching	search	VERB
fuelectenerg-13528	211	59	for	for	ADP
fuelectenerg-13528	211	60	better	well	ADJ
fuelectenerg-13528	211	61	solutions	solution	NOUN
fuelectenerg-13528	211	62	and	and	CCONJ
fuelectenerg-13528	211	63	replacing	replace	VERB
fuelectenerg-13528	211	64	the	the	DET
fuelectenerg-13528	211	65	worst	bad	ADJ
fuelectenerg-13528	211	66	ones	one	NOUN
fuelectenerg-13528	211	67	.	.	PUNCT
fuelectenerg-13528	212	1	in	in	ADP
fuelectenerg-13528	212	2	this	this	DET
fuelectenerg-13528	212	3	work	work	NOUN
fuelectenerg-13528	212	4	,	,	PUNCT
fuelectenerg-13528	212	5	csa	csa	PROPN
fuelectenerg-13528	212	6	is	be	AUX
fuelectenerg-13528	212	7	applied	apply	VERB
fuelectenerg-13528	212	8	for	for	ADP
fuelectenerg-13528	212	9	feature	feature	NOUN
fuelectenerg-13528	212	10	selection	selection	NOUN
fuelectenerg-13528	212	11	,	,	PUNCT
fuelectenerg-13528	212	12	where	where	SCONJ
fuelectenerg-13528	212	13	each	each	DET
fuelectenerg-13528	212	14	solution	solution	NOUN
fuelectenerg-13528	212	15	(	(	PUNCT
fuelectenerg-13528	212	16	or	or	CCONJ
fuelectenerg-13528	212	17	"	"	PUNCT
fuelectenerg-13528	212	18	nest	nest	NOUN
fuelectenerg-13528	212	19	"	"	PUNCT
fuelectenerg-13528	212	20	)	)	PUNCT
fuelectenerg-13528	212	21	indicates	indicate	VERB
fuelectenerg-13528	212	22	a	a	DET
fuelectenerg-13528	212	23	portion	portion	NOUN
fuelectenerg-13528	212	24	of	of	ADP
fuelectenerg-13528	212	25	the	the	DET
fuelectenerg-13528	212	26	features	feature	NOUN
fuelectenerg-13528	212	27	that	that	PRON
fuelectenerg-13528	212	28	have	have	AUX
fuelectenerg-13528	212	29	been	be	AUX
fuelectenerg-13528	212	30	chosen	choose	VERB
fuelectenerg-13528	212	31	.	.	PUNCT
fuelectenerg-13528	213	1	the	the	DET
fuelectenerg-13528	213	2	algorithm	algorithm	NOUN
fuelectenerg-13528	213	3	explores	explore	VERB
fuelectenerg-13528	213	4	the	the	DET
fuelectenerg-13528	213	5	search	search	NOUN
fuelectenerg-13528	213	6	space	space	NOUN
fuelectenerg-13528	213	7	using	use	VERB
fuelectenerg-13528	213	8	levy	levy	NOUN
fuelectenerg-13528	213	9	flight	flight	NOUN
fuelectenerg-13528	213	10	,	,	PUNCT
fuelectenerg-13528	213	11	which	which	PRON
fuelectenerg-13528	213	12	allows	allow	VERB
fuelectenerg-13528	213	13	it	it	PRON
fuelectenerg-13528	213	14	to	to	PART
fuelectenerg-13528	213	15	make	make	VERB
fuelectenerg-13528	213	16	large	large	ADJ
fuelectenerg-13528	213	17	and	and	CCONJ
fuelectenerg-13528	213	18	small	small	ADJ
fuelectenerg-13528	213	19	random	random	ADJ
fuelectenerg-13528	213	20	jumps	jump	NOUN
fuelectenerg-13528	213	21	,	,	PUNCT
fuelectenerg-13528	213	22	improving	improve	VERB
fuelectenerg-13528	213	23	the	the	DET
fuelectenerg-13528	213	24	exploration	exploration	NOUN
fuelectenerg-13528	213	25	of	of	ADP
fuelectenerg-13528	213	26	potential	potential	ADJ
fuelectenerg-13528	213	27	feature	feature	NOUN
fuelectenerg-13528	213	28	subsets	subset	NOUN
fuelectenerg-13528	213	29	.	.	PUNCT
fuelectenerg-13528	214	1	the	the	DET
fuelectenerg-13528	214	2	approach	approach	NOUN
fuelectenerg-13528	214	3	balances	balance	VERB
fuelectenerg-13528	214	4	exploration	exploration	NOUN
fuelectenerg-13528	214	5	of	of	ADP
fuelectenerg-13528	214	6	new	new	ADJ
fuelectenerg-13528	214	7	solutions	solution	NOUN
fuelectenerg-13528	214	8	with	with	ADP
fuelectenerg-13528	214	9	exploitation	exploitation	NOUN
fuelectenerg-13528	214	10	of	of	ADP
fuelectenerg-13528	214	11	good	good	ADJ
fuelectenerg-13528	214	12	solutions	solution	NOUN
fuelectenerg-13528	214	13	,	,	PUNCT
fuelectenerg-13528	214	14	enabling	enable	VERB
fuelectenerg-13528	214	15	effective	effective	ADJ
fuelectenerg-13528	214	16	feature	feature	NOUN
fuelectenerg-13528	214	17	selection	selection	NOUN
fuelectenerg-13528	214	18	for	for	ADP
fuelectenerg-13528	214	19	classification	classification	NOUN
fuelectenerg-13528	214	20	tasks	task	NOUN
fuelectenerg-13528	214	21	.	.	PUNCT
fuelectenerg-13528	215	1	fitness	fitness	NOUN
fuelectenerg-13528	215	2	function	function	NOUN
fuelectenerg-13528	215	3	:	:	PUNCT
fuelectenerg-13528	215	4	the	the	DET
fuelectenerg-13528	215	5	feature	feature	NOUN
fuelectenerg-13528	215	6	selection	selection	NOUN
fuelectenerg-13528	215	7	is	be	AUX
fuelectenerg-13528	215	8	done	do	VERB
fuelectenerg-13528	215	9	by	by	ADP
fuelectenerg-13528	215	10	converting	convert	VERB
fuelectenerg-13528	215	11	the	the	DET
fuelectenerg-13528	215	12	solution	solution	NOUN
fuelectenerg-13528	215	13	vector	vector	NOUN
fuelectenerg-13528	215	14	into	into	ADP
fuelectenerg-13528	215	15	a	a	DET
fuelectenerg-13528	215	16	binary	binary	ADJ
fuelectenerg-13528	215	17	decision	decision	NOUN
fuelectenerg-13528	215	18	if	if	SCONJ
fuelectenerg-13528	215	19	the	the	DET
fuelectenerg-13528	215	20	numerical	numerical	ADJ
fuelectenerg-13528	215	21	value	value	NOUN
fuelectenerg-13528	215	22	of	of	ADP
fuelectenerg-13528	215	23	an	an	DET
fuelectenerg-13528	215	24	element	element	NOUN
fuelectenerg-13528	215	25	is	be	AUX
fuelectenerg-13528	215	26	larger	large	ADJ
fuelectenerg-13528	215	27	than	than	ADP
fuelectenerg-13528	215	28	0.5	0.5	NUM
fuelectenerg-13528	215	29	,	,	PUNCT
fuelectenerg-13528	215	30	the	the	DET
fuelectenerg-13528	215	31	corresponding	corresponding	ADJ
fuelectenerg-13528	215	32	feature	feature	NOUN
fuelectenerg-13528	215	33	is	be	AUX
fuelectenerg-13528	215	34	selected	select	VERB
fuelectenerg-13528	215	35	.	.	PUNCT
fuelectenerg-13528	216	1	if	if	SCONJ
fuelectenerg-13528	216	2	no	no	DET
fuelectenerg-13528	216	3	features	feature	NOUN
fuelectenerg-13528	216	4	are	be	AUX
fuelectenerg-13528	216	5	selected	select	VERB
fuelectenerg-13528	216	6	,	,	PUNCT
fuelectenerg-13528	216	7	assign	assign	VERB
fuelectenerg-13528	216	8	a	a	DET
fuelectenerg-13528	216	9	high	high	ADJ
fuelectenerg-13528	216	10	penalty	penalty	NOUN
fuelectenerg-13528	216	11	(	(	PUNCT
fuelectenerg-13528	216	12	1e6	1e6	NUM
fuelectenerg-13528	216	13	)	)	PUNCT
fuelectenerg-13528	216	14	to	to	PART
fuelectenerg-13528	216	15	discourage	discourage	VERB
fuelectenerg-13528	216	16	this	this	DET
fuelectenerg-13528	216	17	solution	solution	NOUN
fuelectenerg-13528	216	18	.	.	PUNCT
fuelectenerg-13528	217	1	since	since	SCONJ
fuelectenerg-13528	217	2	the	the	DET
fuelectenerg-13528	217	3	goal	goal	NOUN
fuelectenerg-13528	217	4	is	be	AUX
fuelectenerg-13528	217	5	to	to	PART
fuelectenerg-13528	217	6	maximize	maximize	VERB
fuelectenerg-13528	217	7	accuracy	accuracy	NOUN
fuelectenerg-13528	217	8	,	,	PUNCT
fuelectenerg-13528	217	9	the	the	DET
fuelectenerg-13528	217	10	fitness	fitness	NOUN
fuelectenerg-13528	217	11	function	function	NOUN
fuelectenerg-13528	217	12	returns	return	VERB
fuelectenerg-13528	217	13	the	the	DET
fuelectenerg-13528	217	14	negative	negative	ADJ
fuelectenerg-13528	217	15	accuracy	accuracy	NOUN
fuelectenerg-13528	217	16	to	to	PART
fuelectenerg-13528	217	17	fit	fit	VERB
fuelectenerg-13528	217	18	the	the	DET
fuelectenerg-13528	217	19	minimization	minimization	NOUN
fuelectenerg-13528	217	20	framework	framework	NOUN
fuelectenerg-13528	217	21	of	of	ADP
fuelectenerg-13528	217	22	the	the	DET
fuelectenerg-13528	217	23	algorithm	algorithm	NOUN
fuelectenerg-13528	217	24	.	.	PUNCT
fuelectenerg-13528	218	1	algorithm	algorithm	NOUN
fuelectenerg-13528	218	2	1	1	NUM
fuelectenerg-13528	218	3	cuckoo	cuckoo	NOUN
fuelectenerg-13528	218	4	search	search	NOUN
fuelectenerg-13528	218	5	algorithm	algorithm	NOUN
fuelectenerg-13528	218	6	1	1	NUM
fuelectenerg-13528	218	7	.	.	PUNCT
fuelectenerg-13528	218	8	start	start	VERB
fuelectenerg-13528	218	9	the	the	DET
fuelectenerg-13528	218	10	process	process	NOUN
fuelectenerg-13528	218	11	2	2	NUM
fuelectenerg-13528	218	12	.	.	PUNCT
fuelectenerg-13528	218	13	initialize	initialize	VERB
fuelectenerg-13528	218	14	the	the	DET
fuelectenerg-13528	218	15	parameters	parameter	NOUN
fuelectenerg-13528	218	16	:	:	PUNCT
fuelectenerg-13528	218	17	num_nests	num_nest	NOUN
fuelectenerg-13528	218	18	,	,	PUNCT
fuelectenerg-13528	218	19	dim	dim	NOUN
fuelectenerg-13528	218	20	,	,	PUNCT
fuelectenerg-13528	218	21	pa	pa	PROPN
fuelectenerg-13528	218	22	,	,	PUNCT
fuelectenerg-13528	218	23	max_iter	max_iter	NOUN
fuelectenerg-13528	218	24	,	,	PUNCT
fuelectenerg-13528	218	25	lower_bounds	lower_bounds	PROPN
fuelectenerg-13528	218	26	,	,	PUNCT
fuelectenerg-13528	218	27	upper_bounds	upper_bound	VERB
fuelectenerg-13528	218	28	3	3	NUM
fuelectenerg-13528	218	29	.	.	PUNCT
fuelectenerg-13528	218	30	initialize	initialize	VERB
fuelectenerg-13528	218	31	nests	nest	NOUN
fuelectenerg-13528	218	32	with	with	ADP
fuelectenerg-13528	218	33	random	random	ADJ
fuelectenerg-13528	218	34	solutions	solution	NOUN
fuelectenerg-13528	218	35	within	within	ADP
fuelectenerg-13528	218	36	bounds	bound	NOUN
fuelectenerg-13528	218	37	4	4	NUM
fuelectenerg-13528	218	38	.	.	PUNCT
fuelectenerg-13528	218	39	evaluate	evaluate	VERB
fuelectenerg-13528	218	40	fitness	fitness	NOUN
fuelectenerg-13528	218	41	of	of	ADP
fuelectenerg-13528	218	42	all	all	DET
fuelectenerg-13528	218	43	nests	nest	NOUN
fuelectenerg-13528	218	44	using	use	VERB
fuelectenerg-13528	218	45	the	the	DET
fuelectenerg-13528	218	46	objective	objective	ADJ
fuelectenerg-13528	218	47	function	function	NOUN
fuelectenerg-13528	218	48	5	5	NUM
fuelectenerg-13528	218	49	.	.	PUNCT
fuelectenerg-13528	219	1	for	for	ADP
fuelectenerg-13528	219	2	t	t	PROPN
fuelectenerg-13528	219	3	in	in	ADP
fuelectenerg-13528	219	4	range	range	NOUN
fuelectenerg-13528	219	5	(	(	PUNCT
fuelectenerg-13528	219	6	max_iter	max_iter	NOUN
fuelectenerg-13528	219	7	):	):	PUNCT
fuelectenerg-13528	219	8	6	6	NUM
fuelectenerg-13528	219	9	.	.	X
fuelectenerg-13528	220	1	for	for	ADP
fuelectenerg-13528	220	2	each	each	DET
fuelectenerg-13528	220	3	nest	nest	NOUN
fuelectenerg-13528	220	4	:	:	PUNCT
fuelectenerg-13528	220	5	6.1	6.1	NUM
fuelectenerg-13528	220	6	.	.	PUNCT
fuelectenerg-13528	220	7	generate	generate	VERB
fuelectenerg-13528	220	8	a	a	DET
fuelectenerg-13528	220	9	new	new	ADJ
fuelectenerg-13528	220	10	solution	solution	NOUN
fuelectenerg-13528	220	11	using	use	VERB
fuelectenerg-13528	220	12	levy	levy	NOUN
fuelectenerg-13528	220	13	flight	flight	NOUN
fuelectenerg-13528	220	14	6.2	6.2	NUM
fuelectenerg-13528	220	15	.	.	PUNCT
fuelectenerg-13528	221	1	clip	clip	VERB
fuelectenerg-13528	221	2	the	the	DET
fuelectenerg-13528	221	3	solution	solution	NOUN
fuelectenerg-13528	221	4	to	to	PART
fuelectenerg-13528	221	5	stay	stay	VERB
fuelectenerg-13528	221	6	within	within	ADP
fuelectenerg-13528	221	7	bounds	bound	NOUN
fuelectenerg-13528	221	8	6.3	6.3	NUM
fuelectenerg-13528	221	9	.	.	PUNCT
fuelectenerg-13528	222	1	evaluate	evaluate	VERB
fuelectenerg-13528	222	2	the	the	DET
fuelectenerg-13528	222	3	objective	objective	ADJ
fuelectenerg-13528	222	4	function	function	NOUN
fuelectenerg-13528	222	5	for	for	ADP
fuelectenerg-13528	222	6	the	the	DET
fuelectenerg-13528	222	7	new	new	ADJ
fuelectenerg-13528	222	8	solution	solution	NOUN
fuelectenerg-13528	222	9	6.4	6.4	NUM
fuelectenerg-13528	222	10	.	.	PUNCT
fuelectenerg-13528	223	1	if	if	SCONJ
fuelectenerg-13528	223	2	the	the	DET
fuelectenerg-13528	223	3	new	new	ADJ
fuelectenerg-13528	223	4	approach	approach	NOUN
fuelectenerg-13528	223	5	is	be	AUX
fuelectenerg-13528	223	6	more	more	ADV
fuelectenerg-13528	223	7	fit	fit	ADJ
fuelectenerg-13528	223	8	:	:	PUNCT
fuelectenerg-13528	223	9	7	7	X
fuelectenerg-13528	223	10	.	.	X
fuelectenerg-13528	223	11	replace	replace	VERB
fuelectenerg-13528	223	12	the	the	DET
fuelectenerg-13528	223	13	current	current	ADJ
fuelectenerg-13528	223	14	nest	nest	NOUN
fuelectenerg-13528	223	15	with	with	ADP
fuelectenerg-13528	223	16	the	the	DET
fuelectenerg-13528	223	17	novel	novel	ADJ
fuelectenerg-13528	223	18	approach	approach	NOUN
fuelectenerg-13528	223	19	8	8	NUM
fuelectenerg-13528	223	20	.	.	PUNCT
fuelectenerg-13528	223	21	replace	replace	VERB
fuelectenerg-13528	223	22	worst	bad	ADJ
fuelectenerg-13528	223	23	nests	nest	NOUN
fuelectenerg-13528	223	24	with	with	ADP
fuelectenerg-13528	223	25	random	random	ADJ
fuelectenerg-13528	223	26	solutions	solution	NOUN
fuelectenerg-13528	223	27	within	within	ADP
fuelectenerg-13528	223	28	bounds	bound	NOUN
fuelectenerg-13528	223	29	9	9	NUM
fuelectenerg-13528	223	30	.	.	PUNCT
fuelectenerg-13528	223	31	return	return	VERB
fuelectenerg-13528	223	32	the	the	DET
fuelectenerg-13528	223	33	nest	nest	NOUN
fuelectenerg-13528	223	34	with	with	ADP
fuelectenerg-13528	223	35	the	the	DET
fuelectenerg-13528	223	36	highest	high	ADJ
fuelectenerg-13528	223	37	fitness	fitness	NOUN
fuelectenerg-13528	223	38	as	as	ADP
fuelectenerg-13528	223	39	the	the	DET
fuelectenerg-13528	223	40	optimum	optimum	ADJ
fuelectenerg-13528	223	41	solution	solution	NOUN
fuelectenerg-13528	223	42	10	10	NUM
fuelectenerg-13528	223	43	.	.	PUNCT
fuelectenerg-13528	224	1	end	end	NOUN
fuelectenerg-13528	224	2	of	of	ADP
fuelectenerg-13528	224	3	process	process	NOUN
fuelectenerg-13528	224	4	optimizing	optimize	VERB
fuelectenerg-13528	224	5	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	224	6	disease	disease	NOUN
fuelectenerg-13528	224	7	diagnosis	diagnosis	NOUN
fuelectenerg-13528	224	8	:	:	PUNCT
fuelectenerg-13528	224	9	a	a	DET
fuelectenerg-13528	224	10	meta	meta	ADJ
fuelectenerg-13528	224	11	-	-	PUNCT
fuelectenerg-13528	224	12	heuristic	heuristic	ADJ
fuelectenerg-13528	224	13	and	and	CCONJ
fuelectenerg-13528	224	14	fuzzy	fuzzy	ADJ
fuelectenerg-13528	224	15	logic	logic	NOUN
fuelectenerg-13528	224	16	-	-	PUNCT
fuelectenerg-13528	224	17	based	base	VERB
fuelectenerg-13528	224	18	approach	approach	NOUN
fuelectenerg-13528	224	19	67	67	NUM
fuelectenerg-13528	224	20	4.2	4.2	NUM
fuelectenerg-13528	224	21	.	.	PUNCT
fuelectenerg-13528	225	1	genetic	genetic	ADJ
fuelectenerg-13528	225	2	algorithm	algorithm	NOUN
fuelectenerg-13528	225	3	(	(	PUNCT
fuelectenerg-13528	225	4	ga	ga	PROPN
fuelectenerg-13528	225	5	)	)	PUNCT
fuelectenerg-13528	225	6	ga	ga	PROPN
fuelectenerg-13528	225	7	is	be	AUX
fuelectenerg-13528	225	8	a	a	DET
fuelectenerg-13528	225	9	technique	technique	NOUN
fuelectenerg-13528	225	10	for	for	ADP
fuelectenerg-13528	225	11	optimization	optimization	NOUN
fuelectenerg-13528	225	12	inspired	inspire	VERB
fuelectenerg-13528	225	13	by	by	ADP
fuelectenerg-13528	225	14	environment	environment	NOUN
fuelectenerg-13528	225	15	that	that	PRON
fuelectenerg-13528	225	16	replicates	replicate	VERB
fuelectenerg-13528	225	17	the	the	DET
fuelectenerg-13528	225	18	evolutionary	evolutionary	ADJ
fuelectenerg-13528	225	19	ecology	ecology	NOUN
fuelectenerg-13528	225	20	and	and	CCONJ
fuelectenerg-13528	225	21	biological	biological	ADJ
fuelectenerg-13528	225	22	selection	selection	NOUN
fuelectenerg-13528	225	23	processes	process	NOUN
fuelectenerg-13528	225	24	.	.	PUNCT
fuelectenerg-13528	226	1	darwin	darwin	PROPN
fuelectenerg-13528	226	2	's	's	PART
fuelectenerg-13528	226	3	theory	theory	NOUN
fuelectenerg-13528	226	4	of	of	ADP
fuelectenerg-13528	226	5	"	"	PUNCT
fuelectenerg-13528	226	6	survival	survival	NOUN
fuelectenerg-13528	226	7	of	of	ADP
fuelectenerg-13528	226	8	the	the	DET
fuelectenerg-13528	226	9	fittest	fit	ADJ
fuelectenerg-13528	226	10	,	,	PUNCT
fuelectenerg-13528	226	11	"	"	PUNCT
fuelectenerg-13528	226	12	according	accord	VERB
fuelectenerg-13528	226	13	to	to	ADP
fuelectenerg-13528	226	14	which	which	PRON
fuelectenerg-13528	226	15	the	the	DET
fuelectenerg-13528	226	16	strongest	strong	ADJ
fuelectenerg-13528	226	17	individuals	individual	NOUN
fuelectenerg-13528	226	18	have	have	AUX
fuelectenerg-13528	226	19	a	a	DET
fuelectenerg-13528	226	20	higher	high	ADJ
fuelectenerg-13528	226	21	chance	chance	NOUN
fuelectenerg-13528	226	22	of	of	ADP
fuelectenerg-13528	226	23	surviving	survive	VERB
fuelectenerg-13528	226	24	and	and	CCONJ
fuelectenerg-13528	226	25	procreating	procreate	VERB
fuelectenerg-13528	226	26	,	,	PUNCT
fuelectenerg-13528	226	27	so	so	ADV
fuelectenerg-13528	226	28	transferring	transfer	VERB
fuelectenerg-13528	226	29	on	on	ADP
fuelectenerg-13528	226	30	their	their	PRON
fuelectenerg-13528	226	31	characteristics	characteristic	NOUN
fuelectenerg-13528	226	32	to	to	ADP
fuelectenerg-13528	226	33	the	the	DET
fuelectenerg-13528	226	34	following	follow	VERB
fuelectenerg-13528	226	35	generation	generation	NOUN
fuelectenerg-13528	226	36	,	,	PUNCT
fuelectenerg-13528	226	37	is	be	AUX
fuelectenerg-13528	226	38	the	the	DET
fuelectenerg-13528	226	39	foundation	foundation	NOUN
fuelectenerg-13528	226	40	of	of	ADP
fuelectenerg-13528	226	41	this	this	DET
fuelectenerg-13528	226	42	theory	theory	NOUN
fuelectenerg-13528	226	43	.	.	PUNCT
fuelectenerg-13528	227	1	in	in	ADP
fuelectenerg-13528	227	2	ga	ga	PROPN
fuelectenerg-13528	227	3	,	,	PUNCT
fuelectenerg-13528	227	4	chromosomes	chromosome	NOUN
fuelectenerg-13528	227	5	(	(	PUNCT
fuelectenerg-13528	227	6	or	or	CCONJ
fuelectenerg-13528	227	7	people	people	NOUN
fuelectenerg-13528	227	8	)	)	PUNCT
fuelectenerg-13528	227	9	are	be	AUX
fuelectenerg-13528	227	10	used	use	VERB
fuelectenerg-13528	227	11	to	to	PART
fuelectenerg-13528	227	12	represent	represent	VERB
fuelectenerg-13528	227	13	possible	possible	ADJ
fuelectenerg-13528	227	14	solutions	solution	NOUN
fuelectenerg-13528	227	15	to	to	ADP
fuelectenerg-13528	227	16	an	an	DET
fuelectenerg-13528	227	17	optimizing	optimize	VERB
fuelectenerg-13528	227	18	issue	issue	NOUN
fuelectenerg-13528	227	19	,	,	PUNCT
fuelectenerg-13528	227	20	which	which	PRON
fuelectenerg-13528	227	21	are	be	AUX
fuelectenerg-13528	227	22	typically	typically	ADV
fuelectenerg-13528	227	23	encoded	encode	VERB
fuelectenerg-13528	227	24	as	as	ADP
fuelectenerg-13528	227	25	binary	binary	ADJ
fuelectenerg-13528	227	26	strings	string	NOUN
fuelectenerg-13528	227	27	or	or	CCONJ
fuelectenerg-13528	227	28	real	real	ADV
fuelectenerg-13528	227	29	-	-	PUNCT
fuelectenerg-13528	227	30	valued	value	VERB
fuelectenerg-13528	227	31	vectors	vector	NOUN
fuelectenerg-13528	227	32	.	.	PUNCT
fuelectenerg-13528	228	1	the	the	DET
fuelectenerg-13528	228	2	technique	technique	NOUN
fuelectenerg-13528	228	3	starts	start	VERB
fuelectenerg-13528	228	4	with	with	ADP
fuelectenerg-13528	228	5	a	a	DET
fuelectenerg-13528	228	6	sample	sample	NOUN
fuelectenerg-13528	228	7	of	of	ADP
fuelectenerg-13528	228	8	arbitrarily	arbitrarily	ADV
fuelectenerg-13528	228	9	produced	produce	VERB
fuelectenerg-13528	228	10	solutions	solution	NOUN
fuelectenerg-13528	228	11	and	and	CCONJ
fuelectenerg-13528	228	12	uses	use	VERB
fuelectenerg-13528	228	13	crossover	crossover	NOUN
fuelectenerg-13528	228	14	,	,	PUNCT
fuelectenerg-13528	228	15	mutation	mutation	NOUN
fuelectenerg-13528	228	16	,	,	PUNCT
fuelectenerg-13528	228	17	and	and	CCONJ
fuelectenerg-13528	228	18	selection	selection	NOUN
fuelectenerg-13528	228	19	operations	operation	NOUN
fuelectenerg-13528	228	20	to	to	PART
fuelectenerg-13528	228	21	iteratively	iteratively	ADV
fuelectenerg-13528	228	22	improve	improve	VERB
fuelectenerg-13528	228	23	them	they	PRON
fuelectenerg-13528	228	24	.	.	PUNCT
fuelectenerg-13528	229	1	selection	selection	NOUN
fuelectenerg-13528	229	2	:	:	PUNCT
fuelectenerg-13528	229	3	the	the	DET
fuelectenerg-13528	229	4	best	well	ADV
fuelectenerg-13528	229	5	-	-	PUNCT
fuelectenerg-13528	229	6	performing	perform	VERB
fuelectenerg-13528	229	7	individuals	individual	NOUN
fuelectenerg-13528	229	8	(	(	PUNCT
fuelectenerg-13528	229	9	based	base	VERB
fuelectenerg-13528	229	10	on	on	ADP
fuelectenerg-13528	229	11	a	a	DET
fuelectenerg-13528	229	12	fitness	fitness	NOUN
fuelectenerg-13528	229	13	function	function	NOUN
fuelectenerg-13528	229	14	)	)	PUNCT
fuelectenerg-13528	229	15	are	be	AUX
fuelectenerg-13528	229	16	selected	select	VERB
fuelectenerg-13528	229	17	to	to	PART
fuelectenerg-13528	229	18	create	create	VERB
fuelectenerg-13528	229	19	offspring	offspring	NOUN
fuelectenerg-13528	229	20	for	for	ADP
fuelectenerg-13528	229	21	the	the	DET
fuelectenerg-13528	229	22	following	follow	VERB
fuelectenerg-13528	229	23	generation	generation	NOUN
fuelectenerg-13528	229	24	.	.	PUNCT
fuelectenerg-13528	230	1	this	this	PRON
fuelectenerg-13528	230	2	guarantees	guarantee	VERB
fuelectenerg-13528	230	3	that	that	SCONJ
fuelectenerg-13528	230	4	superior	superior	ADJ
fuelectenerg-13528	230	5	solutions	solution	NOUN
fuelectenerg-13528	230	6	are	be	AUX
fuelectenerg-13528	230	7	more	more	ADV
fuelectenerg-13528	230	8	likely	likely	ADJ
fuelectenerg-13528	230	9	to	to	PART
fuelectenerg-13528	230	10	spread	spread	VERB
fuelectenerg-13528	230	11	their	their	PRON
fuelectenerg-13528	230	12	characteristics	characteristic	NOUN
fuelectenerg-13528	230	13	.	.	PUNCT
fuelectenerg-13528	231	1	crossover	crossover	NOUN
fuelectenerg-13528	231	2	(	(	PUNCT
fuelectenerg-13528	231	3	recombination	recombination	NOUN
fuelectenerg-13528	231	4	):	):	PUNCT
fuelectenerg-13528	231	5	to	to	PART
fuelectenerg-13528	231	6	create	create	VERB
fuelectenerg-13528	231	7	children	child	NOUN
fuelectenerg-13528	231	8	that	that	PRON
fuelectenerg-13528	231	9	combine	combine	VERB
fuelectenerg-13528	231	10	the	the	DET
fuelectenerg-13528	231	11	strengths	strength	NOUN
fuelectenerg-13528	231	12	of	of	ADP
fuelectenerg-13528	231	13	both	both	DET
fuelectenerg-13528	231	14	parents	parent	NOUN
fuelectenerg-13528	231	15	,	,	PUNCT
fuelectenerg-13528	231	16	pairs	pair	NOUN
fuelectenerg-13528	231	17	of	of	ADP
fuelectenerg-13528	231	18	parent	parent	NOUN
fuelectenerg-13528	231	19	solutions	solution	NOUN
fuelectenerg-13528	231	20	trade	trade	NOUN
fuelectenerg-13528	231	21	chromosomes	chromosome	NOUN
fuelectenerg-13528	231	22	.	.	PUNCT
fuelectenerg-13528	232	1	mutation	mutation	NOUN
fuelectenerg-13528	232	2	:	:	PUNCT
fuelectenerg-13528	232	3	small	small	ADJ
fuelectenerg-13528	232	4	random	random	ADJ
fuelectenerg-13528	232	5	changes	change	NOUN
fuelectenerg-13528	232	6	are	be	AUX
fuelectenerg-13528	232	7	introduced	introduce	VERB
fuelectenerg-13528	232	8	in	in	ADP
fuelectenerg-13528	232	9	the	the	DET
fuelectenerg-13528	232	10	offspring	offspring	NOUN
fuelectenerg-13528	232	11	’s	’s	PART
fuelectenerg-13528	232	12	chromosomes	chromosome	NOUN
fuelectenerg-13528	232	13	to	to	PART
fuelectenerg-13528	232	14	maintain	maintain	VERB
fuelectenerg-13528	232	15	diversity	diversity	NOUN
fuelectenerg-13528	232	16	and	and	CCONJ
fuelectenerg-13528	232	17	stay	stay	VERB
fuelectenerg-13528	232	18	clear	clear	ADJ
fuelectenerg-13528	232	19	of	of	ADP
fuelectenerg-13528	232	20	local	local	ADJ
fuelectenerg-13528	232	21	optima	optima	NOUN
fuelectenerg-13528	232	22	traps	trap	NOUN
fuelectenerg-13528	232	23	.	.	PUNCT
fuelectenerg-13528	233	1	fitness	fitness	NOUN
fuelectenerg-13528	233	2	function	function	NOUN
fuelectenerg-13528	233	3	:	:	PUNCT
fuelectenerg-13528	233	4	it	it	PRON
fuelectenerg-13528	233	5	calculates	calculate	VERB
fuelectenerg-13528	233	6	the	the	DET
fuelectenerg-13528	233	7	negative	negative	ADJ
fuelectenerg-13528	233	8	accuracy	accuracy	NOUN
fuelectenerg-13528	233	9	on	on	ADP
fuelectenerg-13528	233	10	the	the	DET
fuelectenerg-13528	233	11	test	test	NOUN
fuelectenerg-13528	233	12	set	set	NOUN
fuelectenerg-13528	233	13	.	.	PUNCT
fuelectenerg-13528	234	1	the	the	DET
fuelectenerg-13528	234	2	negative	negative	ADJ
fuelectenerg-13528	234	3	sign	sign	NOUN
fuelectenerg-13528	234	4	is	be	AUX
fuelectenerg-13528	234	5	used	use	VERB
fuelectenerg-13528	234	6	because	because	SCONJ
fuelectenerg-13528	234	7	ga	ga	PROPN
fuelectenerg-13528	234	8	minimizes	minimize	VERB
fuelectenerg-13528	234	9	the	the	DET
fuelectenerg-13528	234	10	objective	objective	ADJ
fuelectenerg-13528	234	11	function	function	NOUN
fuelectenerg-13528	234	12	,	,	PUNCT
fuelectenerg-13528	234	13	but	but	CCONJ
fuelectenerg-13528	234	14	accuracy	accuracy	NOUN
fuelectenerg-13528	234	15	is	be	AUX
fuelectenerg-13528	234	16	maximization	maximization	NOUN
fuelectenerg-13528	234	17	metric	metric	NOUN
fuelectenerg-13528	234	18	.	.	PUNCT
fuelectenerg-13528	235	1	a	a	DET
fuelectenerg-13528	235	2	large	large	ADJ
fuelectenerg-13528	235	3	penalty	penalty	NOUN
fuelectenerg-13528	235	4	(	(	PUNCT
fuelectenerg-13528	235	5	1e6	1e6	NUM
fuelectenerg-13528	235	6	)	)	PUNCT
fuelectenerg-13528	235	7	is	be	AUX
fuelectenerg-13528	235	8	imposed	impose	VERB
fuelectenerg-13528	235	9	if	if	SCONJ
fuelectenerg-13528	235	10	no	no	DET
fuelectenerg-13528	235	11	features	feature	NOUN
fuelectenerg-13528	235	12	are	be	AUX
fuelectenerg-13528	235	13	selected	select	VERB
fuelectenerg-13528	235	14	,	,	PUNCT
fuelectenerg-13528	235	15	discouraging	discourage	VERB
fuelectenerg-13528	235	16	invalid	invalid	ADJ
fuelectenerg-13528	235	17	solutions	solution	NOUN
fuelectenerg-13528	235	18	.	.	PUNCT
fuelectenerg-13528	236	1	the	the	DET
fuelectenerg-13528	236	2	fitness	fitness	NOUN
fuelectenerg-13528	236	3	function	function	NOUN
fuelectenerg-13528	236	4	for	for	ADP
fuelectenerg-13528	236	5	ga	ga	PROPN
fuelectenerg-13528	236	6	is	be	AUX
fuelectenerg-13528	236	7	given	give	VERB
fuelectenerg-13528	236	8	as	as	ADP
fuelectenerg-13528	236	9	:	:	PUNCT
fuelectenerg-13528	236	10	fitness	fitness	NOUN
fuelectenerg-13528	236	11	(	(	PUNCT
fuelectenerg-13528	236	12	solution	solution	NOUN
fuelectenerg-13528	236	13	)	)	PUNCT
fuelectenerg-13528	236	14	=	=	SYM
fuelectenerg-13528	236	15	accuracy	accuracy	NOUN
fuelectenerg-13528	236	16	,	,	PUNCT
fuelectenerg-13528	236	17	if	if	SCONJ
fuelectenerg-13528	236	18	any	any	DET
fuelectenerg-13528	236	19	features	feature	NOUN
fuelectenerg-13528	236	20	are	be	AUX
fuelectenerg-13528	236	21	selected	select	VERB
fuelectenerg-13528	236	22	106	106	NUM
fuelectenerg-13528	236	23	,	,	PUNCT
fuelectenerg-13528	236	24	if	if	SCONJ
fuelectenerg-13528	236	25	no	no	DET
fuelectenerg-13528	236	26	features	feature	NOUN
fuelectenerg-13528	236	27	are	be	AUX
fuelectenerg-13528	236	28	selected	select	VERB
fuelectenerg-13528	236	29	algorithm	algorithm	NOUN
fuelectenerg-13528	236	30	2	2	NUM
fuelectenerg-13528	236	31	genetic	genetic	ADJ
fuelectenerg-13528	236	32	algorithm	algorithm	NOUN
fuelectenerg-13528	236	33	1	1	NUM
fuelectenerg-13528	236	34	.	.	PUNCT
fuelectenerg-13528	237	1	start	start	VERB
fuelectenerg-13528	237	2	the	the	DET
fuelectenerg-13528	237	3	process	process	NOUN
fuelectenerg-13528	237	4	2	2	NUM
fuelectenerg-13528	237	5	.	.	PUNCT
fuelectenerg-13528	237	6	initialize	initialize	VERB
fuelectenerg-13528	237	7	the	the	DET
fuelectenerg-13528	237	8	population	population	NOUN
fuelectenerg-13528	237	9	size	size	NOUN
fuelectenerg-13528	237	10	and	and	CCONJ
fuelectenerg-13528	237	11	set	set	VERB
fuelectenerg-13528	237	12	algorithm	algorithm	NOUN
fuelectenerg-13528	237	13	parameters	parameter	NOUN
fuelectenerg-13528	237	14	like	like	ADP
fuelectenerg-13528	237	15	mutation	mutation	NOUN
fuelectenerg-13528	237	16	,	,	PUNCT
fuelectenerg-13528	237	17	crossover	crossover	NOUN
fuelectenerg-13528	237	18	,	,	PUNCT
fuelectenerg-13528	237	19	etc	etc	X
fuelectenerg-13528	237	20	3	3	NUM
fuelectenerg-13528	237	21	.	.	PUNCT
fuelectenerg-13528	237	22	evaluate	evaluate	VERB
fuelectenerg-13528	237	23	initial	initial	ADJ
fuelectenerg-13528	237	24	population	population	NOUN
fuelectenerg-13528	237	25	:	:	PUNCT
fuelectenerg-13528	237	26	3.1	3.1	NUM
fuelectenerg-13528	237	27	.	.	PUNCT
fuelectenerg-13528	238	1	for	for	ADP
fuelectenerg-13528	238	2	each	each	DET
fuelectenerg-13528	238	3	solution	solution	NOUN
fuelectenerg-13528	238	4	in	in	ADP
fuelectenerg-13528	238	5	the	the	DET
fuelectenerg-13528	238	6	population	population	NOUN
fuelectenerg-13528	238	7	:	:	PUNCT
fuelectenerg-13528	238	8	3.1.1	3.1.1	X
fuelectenerg-13528	238	9	.	.	PUNCT
fuelectenerg-13528	239	1	identify	identify	VERB
fuelectenerg-13528	239	2	selected	select	VERB
fuelectenerg-13528	239	3	features	feature	NOUN
fuelectenerg-13528	239	4	based	base	VERB
fuelectenerg-13528	239	5	on	on	ADP
fuelectenerg-13528	239	6	binary	binary	ADJ
fuelectenerg-13528	239	7	representation	representation	NOUN
fuelectenerg-13528	239	8	3.1.2	3.1.2	PROPN
fuelectenerg-13528	239	9	.	.	PUNCT
fuelectenerg-13528	240	1	train	train	VERB
fuelectenerg-13528	240	2	a	a	DET
fuelectenerg-13528	240	3	classifier	classifier	NOUN
fuelectenerg-13528	240	4	on	on	ADP
fuelectenerg-13528	240	5	selected	select	VERB
fuelectenerg-13528	240	6	features	feature	NOUN
fuelectenerg-13528	240	7	3.1.3	3.1.3	NUM
fuelectenerg-13528	240	8	.	.	PUNCT
fuelectenerg-13528	240	9	compute	compute	VERB
fuelectenerg-13528	240	10	the	the	DET
fuelectenerg-13528	240	11	negative	negative	ADJ
fuelectenerg-13528	240	12	accuracy	accuracy	NOUN
fuelectenerg-13528	240	13	as	as	ADP
fuelectenerg-13528	240	14	the	the	DET
fuelectenerg-13528	240	15	fitness	fitness	NOUN
fuelectenerg-13528	240	16	value	value	NOUN
fuelectenerg-13528	240	17	4	4	NUM
fuelectenerg-13528	240	18	.	.	PUNCT
fuelectenerg-13528	240	19	perform	perform	VERB
fuelectenerg-13528	240	20	iterative	iterative	ADJ
fuelectenerg-13528	240	21	optimization	optimization	NOUN
fuelectenerg-13528	240	22	:	:	PUNCT
fuelectenerg-13528	240	23	5	5	X
fuelectenerg-13528	240	24	.	.	NOUN
fuelectenerg-13528	240	25	while	while	SCONJ
fuelectenerg-13528	240	26	stopping	stop	VERB
fuelectenerg-13528	240	27	criteria	criterion	NOUN
fuelectenerg-13528	240	28	(	(	PUNCT
fuelectenerg-13528	240	29	max	max	PROPN
fuelectenerg-13528	240	30	iterations	iteration	NOUN
fuelectenerg-13528	240	31	or	or	CCONJ
fuelectenerg-13528	240	32	no	no	DET
fuelectenerg-13528	240	33	improvement	improvement	NOUN
fuelectenerg-13528	240	34	)	)	PUNCT
fuelectenerg-13528	240	35	is	be	AUX
fuelectenerg-13528	240	36	not	not	PART
fuelectenerg-13528	240	37	met	meet	VERB
fuelectenerg-13528	240	38	:	:	PUNCT
fuelectenerg-13528	241	1	5.1	5.1	NUM
fuelectenerg-13528	241	2	.	.	PUNCT
fuelectenerg-13528	242	1	selection	selection	NOUN
fuelectenerg-13528	242	2	:	:	PUNCT
fuelectenerg-13528	242	3	select	select	VERB
fuelectenerg-13528	242	4	a	a	DET
fuelectenerg-13528	242	5	subset	subset	NOUN
fuelectenerg-13528	242	6	of	of	ADP
fuelectenerg-13528	242	7	the	the	DET
fuelectenerg-13528	242	8	population	population	NOUN
fuelectenerg-13528	242	9	as	as	ADP
fuelectenerg-13528	242	10	parents	parent	NOUN
fuelectenerg-13528	242	11	based	base	VERB
fuelectenerg-13528	242	12	on	on	ADP
fuelectenerg-13528	242	13	fitness	fitness	NOUN
fuelectenerg-13528	242	14	values	value	NOUN
fuelectenerg-13528	242	15	5.2	5.2	NUM
fuelectenerg-13528	242	16	.	.	PUNCT
fuelectenerg-13528	243	1	crossover	crossover	NOUN
fuelectenerg-13528	243	2	:	:	PUNCT
fuelectenerg-13528	243	3	perform	perform	VERB
fuelectenerg-13528	243	4	uniform	uniform	ADJ
fuelectenerg-13528	243	5	crossover	crossover	NOUN
fuelectenerg-13528	243	6	on	on	ADP
fuelectenerg-13528	243	7	selected	select	VERB
fuelectenerg-13528	243	8	parents	parent	NOUN
fuelectenerg-13528	243	9	to	to	PART
fuelectenerg-13528	243	10	create	create	VERB
fuelectenerg-13528	243	11	offspring	offspre	VERB
fuelectenerg-13528	243	12	5.3	5.3	NUM
fuelectenerg-13528	243	13	.	.	PUNCT
fuelectenerg-13528	244	1	mutation	mutation	NOUN
fuelectenerg-13528	244	2	:	:	PUNCT
fuelectenerg-13528	244	3	randomly	randomly	ADV
fuelectenerg-13528	244	4	mutate	mutate	ADJ
fuelectenerg-13528	244	5	bits	bit	NOUN
fuelectenerg-13528	244	6	in	in	ADP
fuelectenerg-13528	244	7	the	the	DET
fuelectenerg-13528	244	8	offspring	offspring	NOUN
fuelectenerg-13528	244	9	with	with	ADP
fuelectenerg-13528	244	10	a	a	DET
fuelectenerg-13528	244	11	given	give	VERB
fuelectenerg-13528	244	12	mutation	mutation	NOUN
fuelectenerg-13528	244	13	probability	probability	NOUN
fuelectenerg-13528	244	14	5.4	5.4	NUM
fuelectenerg-13528	244	15	.	.	PUNCT
fuelectenerg-13528	244	16	evaluation	evaluation	NOUN
fuelectenerg-13528	244	17	:	:	PUNCT
fuelectenerg-13528	244	18	calculate	calculate	VERB
fuelectenerg-13528	244	19	fitness	fitness	NOUN
fuelectenerg-13528	244	20	of	of	ADP
fuelectenerg-13528	244	21	the	the	DET
fuelectenerg-13528	244	22	offspring	offspring	NOUN
fuelectenerg-13528	244	23	using	use	VERB
fuelectenerg-13528	244	24	the	the	DET
fuelectenerg-13528	244	25	same	same	ADJ
fuelectenerg-13528	244	26	step	step	NOUN
fuelectenerg-13528	244	27	as	as	ADP
fuelectenerg-13528	244	28	in	in	ADP
fuelectenerg-13528	244	29	step	step	NOUN
fuelectenerg-13528	244	30	3	3	NUM
fuelectenerg-13528	244	31	5.5	5.5	NUM
fuelectenerg-13528	244	32	.	.	PUNCT
fuelectenerg-13528	245	1	replacement	replacement	NOUN
fuelectenerg-13528	245	2	:	:	PUNCT
fuelectenerg-13528	245	3	replace	replace	VERB
fuelectenerg-13528	245	4	the	the	DET
fuelectenerg-13528	245	5	least	least	ADJ
fuelectenerg-13528	245	6	-	-	PUNCT
fuelectenerg-13528	245	7	fit	fit	NOUN
fuelectenerg-13528	245	8	individuals	individual	NOUN
fuelectenerg-13528	245	9	in	in	ADP
fuelectenerg-13528	245	10	the	the	DET
fuelectenerg-13528	245	11	population	population	NOUN
fuelectenerg-13528	245	12	with	with	ADP
fuelectenerg-13528	245	13	the	the	DET
fuelectenerg-13528	245	14	offspring	offspring	NOUN
fuelectenerg-13528	245	15	6	6	NUM
fuelectenerg-13528	245	16	.	.	PUNCT
fuelectenerg-13528	245	17	return	return	VERB
fuelectenerg-13528	245	18	the	the	DET
fuelectenerg-13528	245	19	best	good	ADJ
fuelectenerg-13528	245	20	solution	solution	NOUN
fuelectenerg-13528	245	21	(	(	PUNCT
fuelectenerg-13528	245	22	feature	feature	NOUN
fuelectenerg-13528	245	23	subset	subset	NOUN
fuelectenerg-13528	245	24	)	)	PUNCT
fuelectenerg-13528	245	25	found	find	VERB
fuelectenerg-13528	245	26	during	during	ADP
fuelectenerg-13528	245	27	optimization	optimization	NOUN
fuelectenerg-13528	245	28	7	7	NUM
fuelectenerg-13528	245	29	.	.	PUNCT
fuelectenerg-13528	245	30	end	end	VERB
fuelectenerg-13528	245	31	the	the	DET
fuelectenerg-13528	245	32	process	process	NOUN
fuelectenerg-13528	245	33	4.3	4.3	NUM
fuelectenerg-13528	245	34	.	.	PUNCT
fuelectenerg-13528	245	35	particle	particle	NOUN
fuelectenerg-13528	245	36	swarm	swarm	NOUN
fuelectenerg-13528	245	37	optimization	optimization	NOUN
fuelectenerg-13528	245	38	(	(	PUNCT
fuelectenerg-13528	245	39	pso	pso	NOUN
fuelectenerg-13528	245	40	)	)	PUNCT
fuelectenerg-13528	245	41	pso	pso	NOUN
fuelectenerg-13528	245	42	is	be	AUX
fuelectenerg-13528	245	43	an	an	DET
fuelectenerg-13528	245	44	optimizing	optimize	VERB
fuelectenerg-13528	245	45	technique	technique	NOUN
fuelectenerg-13528	245	46	inspired	inspire	VERB
fuelectenerg-13528	245	47	by	by	ADP
fuelectenerg-13528	245	48	nature	nature	NOUN
fuelectenerg-13528	245	49	based	base	VERB
fuelectenerg-13528	245	50	on	on	ADP
fuelectenerg-13528	245	51	the	the	DET
fuelectenerg-13528	245	52	collective	collective	ADJ
fuelectenerg-13528	245	53	nature	nature	NOUN
fuelectenerg-13528	245	54	of	of	ADP
fuelectenerg-13528	245	55	groups	group	NOUN
fuelectenerg-13528	245	56	observed	observe	VERB
fuelectenerg-13528	245	57	in	in	ADP
fuelectenerg-13528	245	58	nature	nature	NOUN
fuelectenerg-13528	245	59	,	,	PUNCT
fuelectenerg-13528	245	60	such	such	ADJ
fuelectenerg-13528	245	61	as	as	ADP
fuelectenerg-13528	245	62	flocks	flock	NOUN
fuelectenerg-13528	245	63	of	of	ADP
fuelectenerg-13528	245	64	birds	bird	NOUN
fuelectenerg-13528	245	65	or	or	CCONJ
fuelectenerg-13528	245	66	schools	school	NOUN
fuelectenerg-13528	245	67	of	of	ADP
fuelectenerg-13528	245	68	fish	fish	NOUN
fuelectenerg-13528	245	69	.	.	PUNCT
fuelectenerg-13528	246	1	based	base	VERB
fuelectenerg-13528	246	2	on	on	ADP
fuelectenerg-13528	246	3	the	the	DET
fuelectenerg-13528	246	4	population	population	NOUN
fuelectenerg-13528	246	5	stochastic	stochastic	ADJ
fuelectenerg-13528	246	6	optimizing	optimizing	NOUN
fuelectenerg-13528	246	7	method	method	NOUN
fuelectenerg-13528	246	8	it	it	PRON
fuelectenerg-13528	246	9	finds	find	VERB
fuelectenerg-13528	246	10	the	the	DET
fuelectenerg-13528	246	11	best	good	ADJ
fuelectenerg-13528	246	12	answer	answer	NOUN
fuelectenerg-13528	246	13	by	by	ADP
fuelectenerg-13528	246	14	mimicking	mimic	VERB
fuelectenerg-13528	246	15	the	the	DET
fuelectenerg-13528	246	16	motion	motion	NOUN
fuelectenerg-13528	246	17	and	and	CCONJ
fuelectenerg-13528	246	18	collaboration	collaboration	NOUN
fuelectenerg-13528	246	19	of	of	ADP
fuelectenerg-13528	246	20	particles	particle	NOUN
fuelectenerg-13528	246	21	(	(	PUNCT
fuelectenerg-13528	246	22	potential	potential	ADJ
fuelectenerg-13528	246	23	solutions	solution	NOUN
fuelectenerg-13528	246	24	)	)	PUNCT
fuelectenerg-13528	246	25	in	in	ADP
fuelectenerg-13528	246	26	a	a	DET
fuelectenerg-13528	246	27	multidimensional	multidimensional	ADJ
fuelectenerg-13528	246	28	searching	searching	NOUN
fuelectenerg-13528	246	29	area	area	NOUN
fuelectenerg-13528	246	30	.	.	PUNCT
fuelectenerg-13528	247	1	it	it	PRON
fuelectenerg-13528	247	2	68	68	NUM
fuelectenerg-13528	247	3	g.	g.	PROPN
fuelectenerg-13528	247	4	gayatri	gayatri	PROPN
fuelectenerg-13528	247	5	lenka	lenka	PROPN
fuelectenerg-13528	247	6	,	,	PUNCT
fuelectenerg-13528	247	7	p.	p.	PROPN
fuelectenerg-13528	247	8	mishra	mishra	PROPN
fuelectenerg-13528	247	9	,	,	PUNCT
fuelectenerg-13528	247	10	j.	j.	PROPN
fuelectenerg-13528	247	11	routray	routray	PROPN
fuelectenerg-13528	247	12	,	,	PUNCT
fuelectenerg-13528	247	13	m.	m.	NOUN
fuelectenerg-13528	247	14	kandpal	kandpal	PROPN
fuelectenerg-13528	247	15	,	,	PUNCT
fuelectenerg-13528	247	16	r.	r.	PROPN
fuelectenerg-13528	247	17	kumar	kumar	PROPN
fuelectenerg-13528	247	18	dash	dash	PROPN
fuelectenerg-13528	247	19	,	,	PUNCT
fuelectenerg-13528	247	20	d.	d.	PROPN
fuelectenerg-13528	247	21	mishra	mishra	PROPN
fuelectenerg-13528	247	22	iteratively	iteratively	ADV
fuelectenerg-13528	247	23	updates	update	VERB
fuelectenerg-13528	247	24	the	the	DET
fuelectenerg-13528	247	25	position	position	NOUN
fuelectenerg-13528	247	26	and	and	CCONJ
fuelectenerg-13528	247	27	velocity	velocity	NOUN
fuelectenerg-13528	247	28	of	of	ADP
fuelectenerg-13528	247	29	particles	particle	NOUN
fuelectenerg-13528	247	30	,	,	PUNCT
fuelectenerg-13528	247	31	adjusting	adjust	VERB
fuelectenerg-13528	247	32	the	the	DET
fuelectenerg-13528	247	33	feature	feature	NOUN
fuelectenerg-13528	247	34	subset	subset	NOUN
fuelectenerg-13528	247	35	based	base	VERB
fuelectenerg-13528	247	36	on	on	ADP
fuelectenerg-13528	247	37	their	their	PRON
fuelectenerg-13528	247	38	personal	personal	ADJ
fuelectenerg-13528	247	39	most	most	ADV
fuelectenerg-13528	247	40	well	well	ADV
fuelectenerg-13528	247	41	-	-	PUNCT
fuelectenerg-13528	247	42	known	know	VERB
fuelectenerg-13528	247	43	solution	solution	NOUN
fuelectenerg-13528	247	44	and	and	CCONJ
fuelectenerg-13528	247	45	the	the	DET
fuelectenerg-13528	247	46	most	most	ADV
fuelectenerg-13528	247	47	well	well	ADV
fuelectenerg-13528	247	48	-	-	PUNCT
fuelectenerg-13528	247	49	known	know	VERB
fuelectenerg-13528	247	50	solution	solution	NOUN
fuelectenerg-13528	247	51	in	in	ADP
fuelectenerg-13528	247	52	the	the	DET
fuelectenerg-13528	247	53	swarm	swarm	NOUN
fuelectenerg-13528	247	54	.	.	PUNCT
fuelectenerg-13528	248	1	fitness	fitness	NOUN
fuelectenerg-13528	248	2	function	function	NOUN
fuelectenerg-13528	248	3	:	:	PUNCT
fuelectenerg-13528	248	4	it	it	PRON
fuelectenerg-13528	248	5	quantifies	quantify	VERB
fuelectenerg-13528	248	6	how	how	SCONJ
fuelectenerg-13528	248	7	good	good	ADJ
fuelectenerg-13528	248	8	a	a	DET
fuelectenerg-13528	248	9	subset	subset	NOUN
fuelectenerg-13528	248	10	of	of	ADP
fuelectenerg-13528	248	11	features	feature	NOUN
fuelectenerg-13528	248	12	is	be	AUX
fuelectenerg-13528	248	13	for	for	ADP
fuelectenerg-13528	248	14	building	build	VERB
fuelectenerg-13528	248	15	a	a	DET
fuelectenerg-13528	248	16	predictive	predictive	ADJ
fuelectenerg-13528	248	17	model	model	NOUN
fuelectenerg-13528	248	18	.	.	PUNCT
fuelectenerg-13528	249	1	it	it	PRON
fuelectenerg-13528	249	2	ensures	ensure	VERB
fuelectenerg-13528	249	3	that	that	SCONJ
fuelectenerg-13528	249	4	the	the	DET
fuelectenerg-13528	249	5	pso	pso	NOUN
fuelectenerg-13528	249	6	algorithm	algorithm	NOUN
fuelectenerg-13528	249	7	maximizes	maximize	VERB
fuelectenerg-13528	249	8	the	the	DET
fuelectenerg-13528	249	9	model	model	NOUN
fuelectenerg-13528	249	10	's	's	PART
fuelectenerg-13528	249	11	classification	classification	NOUN
fuelectenerg-13528	249	12	accuracy	accuracy	NOUN
fuelectenerg-13528	249	13	by	by	ADP
fuelectenerg-13528	249	14	selecting	select	VERB
fuelectenerg-13528	249	15	relevant	relevant	ADJ
fuelectenerg-13528	249	16	features	feature	NOUN
fuelectenerg-13528	249	17	and	and	CCONJ
fuelectenerg-13528	249	18	penalizes	penalize	NOUN
fuelectenerg-13528	249	19	solutions	solution	NOUN
fuelectenerg-13528	249	20	that	that	PRON
fuelectenerg-13528	249	21	select	select	VERB
fuelectenerg-13528	249	22	no	no	DET
fuelectenerg-13528	249	23	features	feature	NOUN
fuelectenerg-13528	249	24	,	,	PUNCT
fuelectenerg-13528	249	25	encouraging	encourage	VERB
fuelectenerg-13528	249	26	meaningful	meaningful	ADJ
fuelectenerg-13528	249	27	feature	feature	NOUN
fuelectenerg-13528	249	28	subsets	subset	NOUN
fuelectenerg-13528	249	29	.	.	PUNCT
fuelectenerg-13528	250	1	the	the	DET
fuelectenerg-13528	250	2	fitness	fitness	NOUN
fuelectenerg-13528	250	3	function	function	NOUN
fuelectenerg-13528	250	4	is	be	AUX
fuelectenerg-13528	250	5	set	set	VERB
fuelectenerg-13528	250	6	to	to	PART
fuelectenerg-13528	250	7	be	be	AUX
fuelectenerg-13528	250	8	negative	negative	ADJ
fuelectenerg-13528	250	9	of	of	ADP
fuelectenerg-13528	250	10	accuracy	accuracy	NOUN
fuelectenerg-13528	250	11	other	other	ADJ
fuelectenerg-13528	250	12	than	than	ADP
fuelectenerg-13528	250	13	any	any	DET
fuelectenerg-13528	250	14	values	value	NOUN
fuelectenerg-13528	250	15	of	of	ADP
fuelectenerg-13528	250	16	the	the	DET
fuelectenerg-13528	250	17	condition	condition	NOUN
fuelectenerg-13528	250	18	given	give	VERB
fuelectenerg-13528	250	19	below	below	ADV
fuelectenerg-13528	250	20	.	.	PUNCT
fuelectenerg-13528	251	1	it	it	PRON
fuelectenerg-13528	251	2	is	be	AUX
fuelectenerg-13528	251	3	mathematically	mathematically	ADV
fuelectenerg-13528	251	4	represented	represent	VERB
fuelectenerg-13528	251	5	as	as	ADP
fuelectenerg-13528	251	6	:	:	PUNCT
fuelectenerg-13528	251	7	1	1	NUM
fuelectenerg-13528	251	8	(	(	PUNCT
fuelectenerg-13528	251	9	)	)	PUNCT
fuelectenerg-13528	251	10	f	f	PROPN
fuelectenerg-13528	251	11	(	(	PUNCT
fuelectenerg-13528	251	12	0.5	0.5	NUM
fuelectenerg-13528	251	13	)	)	PUNCT
fuelectenerg-13528	251	14	0i	0i	NOUN
fuelectenerg-13528	252	1	n	n	PROPN
fuelectenerg-13528	252	2	ii	ii	NOUN
fuelectenerg-13528	253	1	f	f	X
fuelectenerg-13528	253	2	x	x	X
fuelectenerg-13528	253	3	c	c	NOUN
fuelectenerg-13528	253	4	x	x	X
fuelectenerg-13528	253	5	=	=	SYM
fuelectenerg-13528	254	1	=	=	SYM
fuelectenerg-13528	254	2			PROPN
fuelectenerg-13528	254	3	=	=	AUX
fuelectenerg-13528	254	4			X
fuelectenerg-13528	254	5	(	(	PUNCT
fuelectenerg-13528	254	6	8)	8)	NUM
fuelectenerg-13528	254	7	algorithm	algorithm	NOUN
fuelectenerg-13528	254	8	3	3	NUM
fuelectenerg-13528	254	9	particle	particle	NOUN
fuelectenerg-13528	254	10	swarm	swarm	NOUN
fuelectenerg-13528	254	11	optimization	optimization	NOUN
fuelectenerg-13528	254	12	algorithm	algorithm	NOUN
fuelectenerg-13528	254	13	1	1	NUM
fuelectenerg-13528	254	14	.	.	PUNCT
fuelectenerg-13528	254	15	start	start	VERB
fuelectenerg-13528	254	16	the	the	DET
fuelectenerg-13528	254	17	process	process	NOUN
fuelectenerg-13528	254	18	2	2	NUM
fuelectenerg-13528	254	19	.	.	PUNCT
fuelectenerg-13528	254	20	initialize	initialize	VERB
fuelectenerg-13528	254	21	the	the	DET
fuelectenerg-13528	254	22	swarm	swarm	NOUN
fuelectenerg-13528	254	23	randomly	randomly	ADV
fuelectenerg-13528	254	24	set	set	VERB
fuelectenerg-13528	254	25	positions	position	NOUN
fuelectenerg-13528	254	26	and	and	CCONJ
fuelectenerg-13528	254	27	velocities	velocity	NOUN
fuelectenerg-13528	254	28	of	of	ADP
fuelectenerg-13528	254	29	all	all	DET
fuelectenerg-13528	254	30	particles	particle	NOUN
fuelectenerg-13528	254	31	3	3	NUM
fuelectenerg-13528	254	32	.	.	PUNCT
fuelectenerg-13528	254	33	evaluate	evaluate	VERB
fuelectenerg-13528	254	34	the	the	DET
fuelectenerg-13528	254	35	fitness	fitness	NOUN
fuelectenerg-13528	254	36	using	use	VERB
fuelectenerg-13528	254	37	objective	objective	ADJ
fuelectenerg-13528	254	38	function	function	NOUN
fuelectenerg-13528	254	39	4	4	NUM
fuelectenerg-13528	254	40	.	.	PUNCT
fuelectenerg-13528	254	41	update	update	VERB
fuelectenerg-13528	254	42	personal	personal	ADJ
fuelectenerg-13528	254	43	best	good	ADJ
fuelectenerg-13528	254	44	(	(	PUNCT
fuelectenerg-13528	254	45	pbest	pb	ADJ
fuelectenerg-13528	254	46	):	):	PUNCT
fuelectenerg-13528	254	47	4.1	4.1	NUM
fuelectenerg-13528	254	48	.	.	PUNCT
fuelectenerg-13528	255	1	compare	compare	VERB
fuelectenerg-13528	255	2	the	the	DET
fuelectenerg-13528	255	3	current	current	ADJ
fuelectenerg-13528	255	4	position	position	NOUN
fuelectenerg-13528	255	5	of	of	ADP
fuelectenerg-13528	255	6	each	each	DET
fuelectenerg-13528	255	7	particle	particle	NOUN
fuelectenerg-13528	255	8	with	with	ADP
fuelectenerg-13528	255	9	its	its	PRON
fuelectenerg-13528	255	10	optimal	optimal	ADJ
fuelectenerg-13528	255	11	position	position	NOUN
fuelectenerg-13528	255	12	4.2	4.2	NUM
fuelectenerg-13528	255	13	.	.	PUNCT
fuelectenerg-13528	256	1	update	update	VERB
fuelectenerg-13528	256	2	the	the	DET
fuelectenerg-13528	256	3	personal	personal	ADJ
fuelectenerg-13528	256	4	record	record	NOUN
fuelectenerg-13528	256	5	if	if	SCONJ
fuelectenerg-13528	256	6	the	the	DET
fuelectenerg-13528	256	7	current	current	ADJ
fuelectenerg-13528	256	8	position	position	NOUN
fuelectenerg-13528	256	9	is	be	AUX
fuelectenerg-13528	256	10	superior	superior	ADJ
fuelectenerg-13528	256	11	5	5	NUM
fuelectenerg-13528	256	12	.	.	PUNCT
fuelectenerg-13528	256	13	update	update	VERB
fuelectenerg-13528	256	14	global	global	ADJ
fuelectenerg-13528	256	15	best	good	ADJ
fuelectenerg-13528	256	16	(	(	PUNCT
fuelectenerg-13528	256	17	gbest	gb	ADJ
fuelectenerg-13528	256	18	):	):	PUNCT
fuelectenerg-13528	256	19	5.1	5.1	NUM
fuelectenerg-13528	256	20	.	.	PUNCT
fuelectenerg-13528	257	1	find	find	VERB
fuelectenerg-13528	257	2	the	the	DET
fuelectenerg-13528	257	3	best	good	ADJ
fuelectenerg-13528	257	4	position	position	NOUN
fuelectenerg-13528	257	5	among	among	ADP
fuelectenerg-13528	257	6	all	all	DET
fuelectenerg-13528	257	7	particles	particle	NOUN
fuelectenerg-13528	257	8	6	6	NUM
fuelectenerg-13528	257	9	.	.	PUNCT
fuelectenerg-13528	258	1	update	update	NOUN
fuelectenerg-13528	258	2	velocity	velocity	NOUN
fuelectenerg-13528	258	3	:	:	PUNCT
fuelectenerg-13528	258	4	6.1	6.1	NUM
fuelectenerg-13528	258	5	.	.	PUNCT
fuelectenerg-13528	258	6	calculate	calculate	VERB
fuelectenerg-13528	258	7	each	each	DET
fuelectenerg-13528	258	8	particle	particle	NOUN
fuelectenerg-13528	258	9	’s	’s	PART
fuelectenerg-13528	258	10	new	new	ADJ
fuelectenerg-13528	258	11	velocity	velocity	NOUN
fuelectenerg-13528	258	12	based	base	VERB
fuelectenerg-13528	258	13	on	on	ADP
fuelectenerg-13528	258	14	inertia	inertia	NOUN
fuelectenerg-13528	258	15	,	,	PUNCT
fuelectenerg-13528	258	16	pbest	pb	ADJ
fuelectenerg-13528	258	17	and	and	CCONJ
fuelectenerg-13528	258	18	gbest	gb	ADJ
fuelectenerg-13528	258	19	7	7	NUM
fuelectenerg-13528	258	20	.	.	PUNCT
fuelectenerg-13528	258	21	update	update	NOUN
fuelectenerg-13528	258	22	position	position	NOUN
fuelectenerg-13528	258	23	by	by	ADP
fuelectenerg-13528	258	24	using	use	VERB
fuelectenerg-13528	258	25	its	its	PRON
fuelectenerg-13528	258	26	updated	update	VERB
fuelectenerg-13528	258	27	velocity	velocity	NOUN
fuelectenerg-13528	258	28	8	8	NUM
fuelectenerg-13528	258	29	.	.	PUNCT
fuelectenerg-13528	259	1	check	check	VERB
fuelectenerg-13528	259	2	stopping	stop	VERB
fuelectenerg-13528	259	3	criteria	criterion	NOUN
fuelectenerg-13528	259	4	stop	stop	VERB
fuelectenerg-13528	259	5	if	if	SCONJ
fuelectenerg-13528	259	6	max	max	PROPN
fuelectenerg-13528	259	7	iteration	iteration	NOUN
fuelectenerg-13528	259	8	is	be	AUX
fuelectenerg-13528	259	9	reached	reach	VERB
fuelectenerg-13528	259	10	or	or	CCONJ
fuelectenerg-13528	259	11	go	go	VERB
fuelectenerg-13528	259	12	back	back	ADV
fuelectenerg-13528	259	13	to	to	PART
fuelectenerg-13528	259	14	step	step	VERB
fuelectenerg-13528	259	15	3	3	NUM
fuelectenerg-13528	259	16	9	9	NUM
fuelectenerg-13528	259	17	.	.	PUNCT
fuelectenerg-13528	260	1	output	output	VERB
fuelectenerg-13528	260	2	the	the	DET
fuelectenerg-13528	260	3	global	global	ADJ
fuelectenerg-13528	260	4	best	good	ADJ
fuelectenerg-13528	260	5	solution	solution	NOUN
fuelectenerg-13528	260	6	10	10	NUM
fuelectenerg-13528	260	7	.	.	PUNCT
fuelectenerg-13528	261	1	end	end	VERB
fuelectenerg-13528	261	2	the	the	DET
fuelectenerg-13528	261	3	process	process	NOUN
fuelectenerg-13528	261	4	table	table	NOUN
fuelectenerg-13528	261	5	3	3	NUM
fuelectenerg-13528	261	6	feature	feature	NOUN
fuelectenerg-13528	261	7	selected	select	VERB
fuelectenerg-13528	261	8	by	by	ADP
fuelectenerg-13528	261	9	meta	meta	PRON
fuelectenerg-13528	261	10	heuristic	heuristic	ADJ
fuelectenerg-13528	261	11	algorithm	algorithm	NOUN
fuelectenerg-13528	261	12	for	for	ADP
fuelectenerg-13528	261	13	both	both	CCONJ
fuelectenerg-13528	261	14	the	the	DET
fuelectenerg-13528	261	15	datasets	dataset	NOUN
fuelectenerg-13528	261	16	dataset	dataset	VERB
fuelectenerg-13528	261	17	meta	meta	ADJ
fuelectenerg-13528	261	18	heuristic	heuristic	ADJ
fuelectenerg-13528	261	19	algorithm	algorithm	NOUN
fuelectenerg-13528	261	20	feature	feature	NOUN
fuelectenerg-13528	261	21	selected	select	VERB
fuelectenerg-13528	261	22	cvd	cvd	PROPN
fuelectenerg-13528	261	23	csa	csa	PROPN
fuelectenerg-13528	261	24	trestbp	trestbp	PROPN
fuelectenerg-13528	261	25	,	,	PUNCT
fuelectenerg-13528	261	26	chol	chol	NOUN
fuelectenerg-13528	261	27	,	,	PUNCT
fuelectenerg-13528	261	28	oldpeak	oldpeak	NOUN
fuelectenerg-13528	261	29	,	,	PUNCT
fuelectenerg-13528	261	30	cp	cp	PROPN
fuelectenerg-13528	261	31	,	,	PUNCT
fuelectenerg-13528	261	32	slope	slope	NOUN
fuelectenerg-13528	261	33	ga	ga	PROPN
fuelectenerg-13528	261	34	thalach	thalach	NOUN
fuelectenerg-13528	261	35	,	,	PUNCT
fuelectenerg-13528	261	36	chol	chol	PROPN
fuelectenerg-13528	261	37	,	,	PUNCT
fuelectenerg-13528	261	38	oldpeak	oldpeak	NOUN
fuelectenerg-13528	261	39	,	,	PUNCT
fuelectenerg-13528	261	40	cp	cp	PROPN
fuelectenerg-13528	261	41	,	,	PUNCT
fuelectenerg-13528	261	42	restecg	restecg	NOUN
fuelectenerg-13528	261	43	,	,	PUNCT
fuelectenerg-13528	261	44	slope	slope	NOUN
fuelectenerg-13528	261	45	pso	pso	NOUN
fuelectenerg-13528	261	46	trestbp	trestbp	NOUN
fuelectenerg-13528	261	47	,	,	PUNCT
fuelectenerg-13528	261	48	chol	chol	NOUN
fuelectenerg-13528	261	49	,	,	PUNCT
fuelectenerg-13528	261	50	oldpeak	oldpeak	NOUN
fuelectenerg-13528	261	51	,	,	PUNCT
fuelectenerg-13528	261	52	cp	cp	NOUN
fuelectenerg-13528	261	53	,	,	PUNCT
fuelectenerg-13528	261	54	slope	slope	NOUN
fuelectenerg-13528	261	55	,	,	PUNCT
fuelectenerg-13528	261	56	restecg	restecg	PROPN
fuelectenerg-13528	261	57	framingham	framingham	PROPN
fuelectenerg-13528	261	58	csa	csa	PROPN
fuelectenerg-13528	261	59	gender	gender	PROPN
fuelectenerg-13528	261	60	,	,	PUNCT
fuelectenerg-13528	261	61	age	age	NOUN
fuelectenerg-13528	261	62	,	,	PUNCT
fuelectenerg-13528	261	63	education	education	NOUN
fuelectenerg-13528	261	64	,	,	PUNCT
fuelectenerg-13528	261	65	cigsperday	cigsperday	NOUN
fuelectenerg-13528	261	66	,	,	PUNCT
fuelectenerg-13528	261	67	bpmeds	bpmed	NOUN
fuelectenerg-13528	261	68	,	,	PUNCT
fuelectenerg-13528	261	69	prevalentstroke	prevalentstroke	NOUN
fuelectenerg-13528	261	70	,	,	PUNCT
fuelectenerg-13528	261	71	prevalenthyp	prevalenthyp	NOUN
fuelectenerg-13528	261	72	,	,	PUNCT
fuelectenerg-13528	261	73	glucose	glucose	NOUN
fuelectenerg-13528	261	74	ga	ga	NOUN
fuelectenerg-13528	261	75	gender	gender	NOUN
fuelectenerg-13528	261	76	,	,	PUNCT
fuelectenerg-13528	261	77	age	age	NOUN
fuelectenerg-13528	261	78	,	,	PUNCT
fuelectenerg-13528	261	79	education	education	NOUN
fuelectenerg-13528	261	80	,	,	PUNCT
fuelectenerg-13528	261	81	currentsmoker	currentsmoker	NOUN
fuelectenerg-13528	261	82	,	,	PUNCT
fuelectenerg-13528	261	83	cigsperday	cigsperday	NOUN
fuelectenerg-13528	261	84	,	,	PUNCT
fuelectenerg-13528	261	85	bpmeds	bpmed	NOUN
fuelectenerg-13528	261	86	,	,	PUNCT
fuelectenerg-13528	261	87	prevalentstroke	prevalentstroke	NOUN
fuelectenerg-13528	261	88	,	,	PUNCT
fuelectenerg-13528	261	89	prevalenthyp	prevalenthyp	NOUN
fuelectenerg-13528	261	90	,	,	PUNCT
fuelectenerg-13528	261	91	diabetes	diabetes	NOUN
fuelectenerg-13528	261	92	,	,	PUNCT
fuelectenerg-13528	261	93	bmi	bmi	PROPN
fuelectenerg-13528	261	94	pso	pso	NOUN
fuelectenerg-13528	261	95	gender	gender	NOUN
fuelectenerg-13528	261	96	,	,	PUNCT
fuelectenerg-13528	261	97	age	age	NOUN
fuelectenerg-13528	261	98	,	,	PUNCT
fuelectenerg-13528	261	99	education	education	NOUN
fuelectenerg-13528	261	100	,	,	PUNCT
fuelectenerg-13528	261	101	bpmeds	bpmed	NOUN
fuelectenerg-13528	261	102	,	,	PUNCT
fuelectenerg-13528	261	103	prevalentstroke	prevalentstroke	NOUN
fuelectenerg-13528	261	104	,	,	PUNCT
fuelectenerg-13528	261	105	prevalenthyp	prevalenthyp	NOUN
fuelectenerg-13528	261	106	,	,	PUNCT
fuelectenerg-13528	261	107	diabetes	diabetes	NOUN
fuelectenerg-13528	261	108	,	,	PUNCT
fuelectenerg-13528	261	109	totchol	totchol	NOUN
fuelectenerg-13528	261	110	,	,	PUNCT
fuelectenerg-13528	261	111	diabp	diabp	NOUN
fuelectenerg-13528	261	112	,	,	PUNCT
fuelectenerg-13528	261	113	bmi	bmi	PROPN
fuelectenerg-13528	261	114	,	,	PUNCT
fuelectenerg-13528	261	115	heartrate	heartrate	VERB
fuelectenerg-13528	261	116	5	5	NUM
fuelectenerg-13528	261	117	.	.	PUNCT
fuelectenerg-13528	261	118	fuzzy	fuzzy	ADJ
fuelectenerg-13528	261	119	logic	logic	NOUN
fuelectenerg-13528	261	120	rules	rule	VERB
fuelectenerg-13528	261	121	the	the	DET
fuelectenerg-13528	261	122	figure	figure	NOUN
fuelectenerg-13528	261	123	shown	show	VERB
fuelectenerg-13528	261	124	in	in	ADP
fuelectenerg-13528	261	125	fig	fig	NOUN
fuelectenerg-13528	261	126	.	.	PUNCT
fuelectenerg-13528	262	1	5	5	NUM
fuelectenerg-13528	262	2	represents	represent	VERB
fuelectenerg-13528	262	3	a	a	DET
fuelectenerg-13528	262	4	fuzzy	fuzzy	ADJ
fuelectenerg-13528	262	5	logic	logic	NOUN
fuelectenerg-13528	262	6	system	system	NOUN
fuelectenerg-13528	262	7	for	for	ADP
fuelectenerg-13528	262	8	risk	risk	NOUN
fuelectenerg-13528	262	9	prediction	prediction	NOUN
fuelectenerg-13528	262	10	.	.	PUNCT
fuelectenerg-13528	263	1	it	it	PRON
fuelectenerg-13528	263	2	processes	process	VERB
fuelectenerg-13528	263	3	inputs	input	NOUN
fuelectenerg-13528	263	4	such	such	ADJ
fuelectenerg-13528	263	5	as	as	ADP
fuelectenerg-13528	263	6	gender	gender	NOUN
fuelectenerg-13528	263	7	,	,	PUNCT
fuelectenerg-13528	263	8	age	age	NOUN
fuelectenerg-13528	263	9	,	,	PUNCT
fuelectenerg-13528	263	10	education	education	NOUN
fuelectenerg-13528	263	11	,	,	PUNCT
fuelectenerg-13528	263	12	cigarettes	cigarette	NOUN
fuelectenerg-13528	263	13	per	per	ADP
fuelectenerg-13528	263	14	day	day	NOUN
fuelectenerg-13528	263	15	,	,	PUNCT
fuelectenerg-13528	263	16	history	history	NOUN
fuelectenerg-13528	263	17	of	of	ADP
fuelectenerg-13528	263	18	stroke	stroke	NOUN
fuelectenerg-13528	263	19	,	,	PUNCT
fuelectenerg-13528	263	20	hypertension	hypertension	NOUN
fuelectenerg-13528	263	21	and	and	CCONJ
fuelectenerg-13528	263	22	blood	blood	NOUN
fuelectenerg-13528	263	23	pressure	pressure	NOUN
fuelectenerg-13528	263	24	medications	medication	NOUN
fuelectenerg-13528	263	25	through	through	ADP
fuelectenerg-13528	263	26	a	a	DET
fuelectenerg-13528	263	27	fuzzifier	fuzzifier	NOUN
fuelectenerg-13528	263	28	,	,	PUNCT
fuelectenerg-13528	263	29	which	which	PRON
fuelectenerg-13528	263	30	converts	convert	VERB
fuelectenerg-13528	263	31	these	these	DET
fuelectenerg-13528	263	32	crisp	crisp	ADJ
fuelectenerg-13528	263	33	inputs	input	NOUN
fuelectenerg-13528	263	34	into	into	ADP
fuelectenerg-13528	263	35	fuzzy	fuzzy	ADJ
fuelectenerg-13528	263	36	values	value	NOUN
fuelectenerg-13528	263	37	.	.	PUNCT
fuelectenerg-13528	264	1	these	these	DET
fuelectenerg-13528	264	2	fuzzy	fuzzy	ADJ
fuelectenerg-13528	264	3	values	value	NOUN
fuelectenerg-13528	264	4	are	be	AUX
fuelectenerg-13528	264	5	then	then	ADV
fuelectenerg-13528	264	6	evaluated	evaluate	VERB
fuelectenerg-13528	264	7	using	use	VERB
fuelectenerg-13528	264	8	some	some	DET
fuelectenerg-13528	264	9	inference	inference	NOUN
fuelectenerg-13528	264	10	rules	rule	NOUN
fuelectenerg-13528	264	11	as	as	SCONJ
fuelectenerg-13528	264	12	shown	show	VERB
fuelectenerg-13528	264	13	below	below	ADP
fuelectenerg-13528	264	14	in	in	ADP
fuelectenerg-13528	264	15	table	table	NOUN
fuelectenerg-13528	264	16	4	4	NUM
fuelectenerg-13528	264	17	to	to	PART
fuelectenerg-13528	264	18	generate	generate	VERB
fuelectenerg-13528	264	19	fuzzy	fuzzy	ADJ
fuelectenerg-13528	264	20	outputs	output	NOUN
fuelectenerg-13528	264	21	based	base	VERB
fuelectenerg-13528	264	22	on	on	ADP
fuelectenerg-13528	264	23	predefined	predefine	VERB
fuelectenerg-13528	264	24	rules	rule	NOUN
fuelectenerg-13528	264	25	.	.	PUNCT
fuelectenerg-13528	265	1	the	the	DET
fuelectenerg-13528	265	2	de	de	PROPN
fuelectenerg-13528	265	3	-	-	NOUN
fuelectenerg-13528	265	4	fuzzifier	fuzzifier	NOUN
fuelectenerg-13528	265	5	translates	translate	VERB
fuelectenerg-13528	265	6	these	these	DET
fuelectenerg-13528	265	7	fuzzy	fuzzy	ADJ
fuelectenerg-13528	265	8	outputs	output	NOUN
fuelectenerg-13528	265	9	back	back	ADV
fuelectenerg-13528	265	10	into	into	ADP
fuelectenerg-13528	265	11	a	a	DET
fuelectenerg-13528	265	12	crisp	crisp	ADJ
fuelectenerg-13528	265	13	value	value	NOUN
fuelectenerg-13528	265	14	,	,	PUNCT
fuelectenerg-13528	265	15	which	which	PRON
fuelectenerg-13528	265	16	optimizing	optimize	VERB
fuelectenerg-13528	265	17	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	265	18	disease	disease	NOUN
fuelectenerg-13528	265	19	diagnosis	diagnosis	NOUN
fuelectenerg-13528	265	20	:	:	PUNCT
fuelectenerg-13528	265	21	a	a	DET
fuelectenerg-13528	265	22	meta	meta	ADJ
fuelectenerg-13528	265	23	-	-	PUNCT
fuelectenerg-13528	265	24	heuristic	heuristic	ADJ
fuelectenerg-13528	265	25	and	and	CCONJ
fuelectenerg-13528	265	26	fuzzy	fuzzy	ADJ
fuelectenerg-13528	265	27	logic	logic	NOUN
fuelectenerg-13528	265	28	-	-	PUNCT
fuelectenerg-13528	265	29	based	base	VERB
fuelectenerg-13528	265	30	approach	approach	NOUN
fuelectenerg-13528	265	31	69	69	NUM
fuelectenerg-13528	265	32	represents	represent	VERB
fuelectenerg-13528	265	33	the	the	DET
fuelectenerg-13528	265	34	predicted	predict	VERB
fuelectenerg-13528	265	35	risk	risk	NOUN
fuelectenerg-13528	265	36	level	level	NOUN
fuelectenerg-13528	265	37	.	.	PUNCT
fuelectenerg-13528	266	1	the	the	DET
fuelectenerg-13528	266	2	system	system	NOUN
fuelectenerg-13528	266	3	combines	combine	VERB
fuelectenerg-13528	266	4	linguistic	linguistic	ADJ
fuelectenerg-13528	266	5	reasoning	reasoning	NOUN
fuelectenerg-13528	266	6	and	and	CCONJ
fuelectenerg-13528	266	7	quantitative	quantitative	ADJ
fuelectenerg-13528	266	8	data	datum	NOUN
fuelectenerg-13528	266	9	to	to	PART
fuelectenerg-13528	266	10	deliver	deliver	VERB
fuelectenerg-13528	266	11	a	a	DET
fuelectenerg-13528	266	12	risk	risk	NOUN
fuelectenerg-13528	266	13	prediction	prediction	NOUN
fuelectenerg-13528	266	14	outcome	outcome	NOUN
fuelectenerg-13528	266	15	.	.	PUNCT
fuelectenerg-13528	267	1	de	de	ADJ
fuelectenerg-13528	267	2	-	-	NOUN
fuelectenerg-13528	267	3	fuzzification	fuzzification	NOUN
fuelectenerg-13528	267	4	process	process	NOUN
fuelectenerg-13528	267	5	transforms	transform	VERB
fuelectenerg-13528	267	6	abstract	abstract	ADJ
fuelectenerg-13528	267	7	,	,	PUNCT
fuelectenerg-13528	267	8	rule	rule	NOUN
fuelectenerg-13528	267	9	-	-	PUNCT
fuelectenerg-13528	267	10	based	base	VERB
fuelectenerg-13528	267	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	267	12	results	result	NOUN
fuelectenerg-13528	267	13	into	into	ADP
fuelectenerg-13528	267	14	a	a	DET
fuelectenerg-13528	267	15	clear	clear	ADJ
fuelectenerg-13528	267	16	and	and	CCONJ
fuelectenerg-13528	267	17	usable	usable	ADJ
fuelectenerg-13528	267	18	prediction	prediction	NOUN
fuelectenerg-13528	267	19	value	value	NOUN
fuelectenerg-13528	267	20	.	.	PUNCT
fuelectenerg-13528	268	1	it	it	PRON
fuelectenerg-13528	268	2	plays	play	VERB
fuelectenerg-13528	268	3	a	a	DET
fuelectenerg-13528	268	4	vital	vital	ADJ
fuelectenerg-13528	268	5	role	role	NOUN
fuelectenerg-13528	268	6	in	in	ADP
fuelectenerg-13528	268	7	making	make	VERB
fuelectenerg-13528	268	8	the	the	DET
fuelectenerg-13528	268	9	fuzzy	fuzzy	ADJ
fuelectenerg-13528	268	10	logic	logic	NOUN
fuelectenerg-13528	268	11	system	system	NOUN
fuelectenerg-13528	268	12	practical	practical	ADJ
fuelectenerg-13528	268	13	and	and	CCONJ
fuelectenerg-13528	268	14	meaningful	meaningful	ADJ
fuelectenerg-13528	268	15	for	for	ADP
fuelectenerg-13528	268	16	cvd	cvd	PROPN
fuelectenerg-13528	268	17	risk	risk	NOUN
fuelectenerg-13528	268	18	prediction	prediction	NOUN
fuelectenerg-13528	268	19	,	,	PUNCT
fuelectenerg-13528	268	20	bridging	bridge	VERB
fuelectenerg-13528	268	21	the	the	DET
fuelectenerg-13528	268	22	gap	gap	NOUN
fuelectenerg-13528	268	23	between	between	ADP
fuelectenerg-13528	268	24	human	human	NOUN
fuelectenerg-13528	268	25	-	-	PUNCT
fuelectenerg-13528	268	26	like	like	ADJ
fuelectenerg-13528	268	27	reasoning	reasoning	NOUN
fuelectenerg-13528	268	28	and	and	CCONJ
fuelectenerg-13528	268	29	machine	machine	NOUN
fuelectenerg-13528	268	30	-	-	PUNCT
fuelectenerg-13528	268	31	based	base	VERB
fuelectenerg-13528	268	32	precision	precision	NOUN
fuelectenerg-13528	268	33	.	.	PUNCT
fuelectenerg-13528	269	1	fig	fig	NOUN
fuelectenerg-13528	269	2	.	.	PUNCT
fuelectenerg-13528	270	1	5	5	NUM
fuelectenerg-13528	270	2	fuzzy	fuzzy	ADJ
fuelectenerg-13528	270	3	inference	inference	NOUN
fuelectenerg-13528	270	4	system	system	NOUN
fuelectenerg-13528	270	5	table	table	NOUN
fuelectenerg-13528	270	6	4	4	NUM
fuelectenerg-13528	270	7	fuzzy	fuzzy	ADJ
fuelectenerg-13528	270	8	logic	logic	NOUN
fuelectenerg-13528	270	9	rules	rule	NOUN
fuelectenerg-13528	270	10	rule	rule	VERB
fuelectenerg-13528	270	11	no	no	PRON
fuelectenerg-13528	270	12	.	.	PUNCT
fuelectenerg-13528	271	1	gender	gender	NOUN
fuelectenerg-13528	271	2	age	age	NOUN
fuelectenerg-13528	271	3	education	education	PROPN
fuelectenerg-13528	271	4	cigsperday	cigsperday	PROPN
fuelectenerg-13528	271	5	bpmed	bpme	VERB
fuelectenerg-13528	271	6	prevalstroke	prevalstroke	ADJ
fuelectenerg-13528	271	7	prevalent	prevalent	PROPN
fuelectenerg-13528	271	8	hyp	hyp	PROPN
fuelectenerg-13528	271	9	glucose	glucose	NOUN
fuelectenerg-13528	271	10	risk	risk	NOUN
fuelectenerg-13528	271	11	1	1	NUM
fuelectenerg-13528	271	12	young	young	ADJ
fuelectenerg-13528	271	13	high	high	ADJ
fuelectenerg-13528	271	14	none	none	NOUN
fuelectenerg-13528	272	1	no	no	INTJ
fuelectenerg-13528	272	2	no	no	INTJ
fuelectenerg-13528	272	3	no	no	DET
fuelectenerg-13528	272	4	normal	normal	ADJ
fuelectenerg-13528	272	5	healthy	healthy	ADJ
fuelectenerg-13528	272	6	2	2	NUM
fuelectenerg-13528	272	7	female	female	NOUN
fuelectenerg-13528	272	8	very	very	ADV
fuelectenerg-13528	272	9	high	high	ADJ
fuelectenerg-13528	273	1	none	none	NOUN
fuelectenerg-13528	273	2	no	no	INTJ
fuelectenerg-13528	274	1	no	no	PRON
fuelectenerg-13528	274	2	low	low	ADV
fuelectenerg-13528	274	3	healthy	healthy	ADJ
fuelectenerg-13528	274	4	3	3	NUM
fuelectenerg-13528	274	5	young	young	ADJ
fuelectenerg-13528	274	6	medium	medium	ADJ
fuelectenerg-13528	274	7	few	few	ADJ
fuelectenerg-13528	274	8	no	no	INTJ
fuelectenerg-13528	274	9	no	no	PRON
fuelectenerg-13528	274	10	normal	normal	ADJ
fuelectenerg-13528	274	11	low	low	ADJ
fuelectenerg-13528	274	12	4	4	NUM
fuelectenerg-13528	274	13	female	female	ADJ
fuelectenerg-13528	274	14	young	young	ADJ
fuelectenerg-13528	274	15	medium	medium	NOUN
fuelectenerg-13528	275	1	no	no	INTJ
fuelectenerg-13528	275	2	no	no	DET
fuelectenerg-13528	275	3	normal	normal	ADJ
fuelectenerg-13528	275	4	low	low	ADJ
fuelectenerg-13528	275	5	5	5	NUM
fuelectenerg-13528	275	6	middle	middle	ADJ
fuelectenerg-13528	275	7	medium	medium	NOUN
fuelectenerg-13528	275	8	few	few	ADJ
fuelectenerg-13528	275	9	no	no	DET
fuelectenerg-13528	275	10	high	high	ADJ
fuelectenerg-13528	275	11	moderate	moderate	ADJ
fuelectenerg-13528	275	12	6	6	NUM
fuelectenerg-13528	275	13	male	male	NOUN
fuelectenerg-13528	275	14	middle	middle	ADJ
fuelectenerg-13528	275	15	many	many	ADJ
fuelectenerg-13528	275	16	no	no	PRON
fuelectenerg-13528	275	17	normal	normal	ADJ
fuelectenerg-13528	275	18	moderate	moderate	ADJ
fuelectenerg-13528	275	19	7	7	NUM
fuelectenerg-13528	275	20	old	old	ADJ
fuelectenerg-13528	275	21	low	low	ADJ
fuelectenerg-13528	275	22	many	many	ADJ
fuelectenerg-13528	276	1	yes	yes	INTJ
fuelectenerg-13528	277	1	very	very	ADV
fuelectenerg-13528	277	2	high	high	ADJ
fuelectenerg-13528	277	3	high	high	ADJ
fuelectenerg-13528	277	4	8	8	NUM
fuelectenerg-13528	277	5	male	male	NOUN
fuelectenerg-13528	277	6	very	very	ADV
fuelectenerg-13528	277	7	old	old	ADJ
fuelectenerg-13528	277	8	low	low	ADJ
fuelectenerg-13528	278	1	yes	yes	INTJ
fuelectenerg-13528	278	2	very	very	ADV
fuelectenerg-13528	278	3	high	high	ADJ
fuelectenerg-13528	278	4	high	high	ADJ
fuelectenerg-13528	278	5	9	9	NUM
fuelectenerg-13528	278	6	male	male	NOUN
fuelectenerg-13528	278	7	old	old	ADJ
fuelectenerg-13528	278	8	many	many	ADJ
fuelectenerg-13528	279	1	yes	yes	INTJ
fuelectenerg-13528	279	2	yes	yes	INTJ
fuelectenerg-13528	279	3	very	very	ADV
fuelectenerg-13528	279	4	high	high	ADJ
fuelectenerg-13528	279	5	10	10	NUM
fuelectenerg-13528	279	6	very	very	ADV
fuelectenerg-13528	279	7	old	old	ADJ
fuelectenerg-13528	279	8	low	low	ADJ
fuelectenerg-13528	280	1	yes	yes	INTJ
fuelectenerg-13528	280	2	yes	yes	INTJ
fuelectenerg-13528	280	3	very	very	ADV
fuelectenerg-13528	280	4	high	high	ADJ
fuelectenerg-13528	280	5	very	very	ADV
fuelectenerg-13528	280	6	high	high	ADJ
fuelectenerg-13528	280	7	6	6	NUM
fuelectenerg-13528	280	8	.	.	PUNCT
fuelectenerg-13528	280	9	results	result	NOUN
fuelectenerg-13528	280	10	and	and	CCONJ
fuelectenerg-13528	280	11	discussions	discussion	NOUN
fuelectenerg-13528	280	12	the	the	DET
fuelectenerg-13528	280	13	results	result	NOUN
fuelectenerg-13528	280	14	of	of	ADP
fuelectenerg-13528	280	15	various	various	ADJ
fuelectenerg-13528	280	16	performance	performance	NOUN
fuelectenerg-13528	280	17	evaluation	evaluation	NOUN
fuelectenerg-13528	280	18	metrics	metric	NOUN
fuelectenerg-13528	280	19	for	for	ADP
fuelectenerg-13528	280	20	different	different	ADJ
fuelectenerg-13528	280	21	classifiers	classifier	NOUN
fuelectenerg-13528	280	22	for	for	ADP
fuelectenerg-13528	280	23	both	both	CCONJ
fuelectenerg-13528	280	24	the	the	DET
fuelectenerg-13528	280	25	datasets	dataset	NOUN
fuelectenerg-13528	280	26	are	be	AUX
fuelectenerg-13528	280	27	shown	show	VERB
fuelectenerg-13528	280	28	above	above	ADP
fuelectenerg-13528	280	29	.	.	PUNCT
fuelectenerg-13528	281	1	table	table	NOUN
fuelectenerg-13528	281	2	5	5	NUM
fuelectenerg-13528	281	3	and	and	CCONJ
fuelectenerg-13528	281	4	fig	fig	NOUN
fuelectenerg-13528	281	5	.	.	PUNCT
fuelectenerg-13528	282	1	6	6	NUM
fuelectenerg-13528	282	2	represent	represent	VERB
fuelectenerg-13528	282	3	the	the	DET
fuelectenerg-13528	282	4	evaluation	evaluation	NOUN
fuelectenerg-13528	282	5	of	of	ADP
fuelectenerg-13528	282	6	various	various	ADJ
fuelectenerg-13528	282	7	metrices	metrice	NOUN
fuelectenerg-13528	282	8	using	use	VERB
fuelectenerg-13528	282	9	cvd	cvd	PROPN
fuelectenerg-13528	282	10	dataset	dataset	VERB
fuelectenerg-13528	282	11	and	and	CCONJ
fuelectenerg-13528	282	12	similarly	similarly	ADV
fuelectenerg-13528	282	13	table	table	VERB
fuelectenerg-13528	282	14	6	6	NUM
fuelectenerg-13528	282	15	and	and	CCONJ
fuelectenerg-13528	282	16	fig	fig	NOUN
fuelectenerg-13528	282	17	.	.	PUNCT
fuelectenerg-13528	283	1	7	7	NUM
fuelectenerg-13528	283	2	represent	represent	VERB
fuelectenerg-13528	283	3	the	the	DET
fuelectenerg-13528	283	4	evaluation	evaluation	NOUN
fuelectenerg-13528	283	5	of	of	ADP
fuelectenerg-13528	283	6	various	various	ADJ
fuelectenerg-13528	283	7	evaluated	evaluate	VERB
fuelectenerg-13528	283	8	metrices	metrice	NOUN
fuelectenerg-13528	283	9	using	use	VERB
fuelectenerg-13528	283	10	framingham	framingham	PROPN
fuelectenerg-13528	283	11	dataset	dataset	PROPN
fuelectenerg-13528	283	12	.	.	PUNCT
fuelectenerg-13528	284	1	as	as	SCONJ
fuelectenerg-13528	284	2	shown	show	VERB
fuelectenerg-13528	284	3	in	in	ADP
fuelectenerg-13528	284	4	fig.6	fig.6	PROPN
fuelectenerg-13528	284	5	for	for	ADP
fuelectenerg-13528	284	6	the	the	DET
fuelectenerg-13528	284	7	cvd	cvd	PROPN
fuelectenerg-13528	284	8	dataset	dataset	VERB
fuelectenerg-13528	284	9	the	the	DET
fuelectenerg-13528	284	10	pso	pso	NOUN
fuelectenerg-13528	284	11	algorithm	algorithm	NOUN
fuelectenerg-13528	284	12	by	by	ADP
fuelectenerg-13528	284	13	using	use	VERB
fuelectenerg-13528	284	14	the	the	DET
fuelectenerg-13528	284	15	rf	rf	NOUN
fuelectenerg-13528	284	16	classifier	classifier	NOUN
fuelectenerg-13528	284	17	achieves	achieve	VERB
fuelectenerg-13528	284	18	the	the	DET
fuelectenerg-13528	284	19	highest	high	ADJ
fuelectenerg-13528	284	20	accuracy	accuracy	NOUN
fuelectenerg-13528	284	21	of	of	ADP
fuelectenerg-13528	284	22	94.12	94.12	NUM
fuelectenerg-13528	284	23	%	%	NOUN
fuelectenerg-13528	284	24	and	and	CCONJ
fuelectenerg-13528	284	25	similarly	similarly	ADV
fuelectenerg-13528	284	26	in	in	ADP
fuelectenerg-13528	284	27	fig.7	fig.7	ADJ
fuelectenerg-13528	284	28	for	for	SCONJ
fuelectenerg-13528	284	29	the	the	DET
fuelectenerg-13528	284	30	framingham	framingham	PROPN
fuelectenerg-13528	284	31	dataset	dataset	VERB
fuelectenerg-13528	284	32	the	the	DET
fuelectenerg-13528	284	33	csa	csa	PROPN
fuelectenerg-13528	284	34	algorithm	algorithm	NOUN
fuelectenerg-13528	284	35	by	by	ADP
fuelectenerg-13528	284	36	using	use	VERB
fuelectenerg-13528	284	37	the	the	DET
fuelectenerg-13528	284	38	rf	rf	NOUN
fuelectenerg-13528	284	39	classifier	classifier	NOUN
fuelectenerg-13528	284	40	achieves	achieve	VERB
fuelectenerg-13528	284	41	the	the	DET
fuelectenerg-13528	284	42	highest	high	ADJ
fuelectenerg-13528	284	43	accuracy	accuracy	NOUN
fuelectenerg-13528	284	44	of	of	ADP
fuelectenerg-13528	284	45	98.47	98.47	NUM
fuelectenerg-13528	284	46	%	%	NOUN
fuelectenerg-13528	284	47	.	.	PUNCT
fuelectenerg-13528	285	1	70	70	NUM
fuelectenerg-13528	285	2	g.	g.	PROPN
fuelectenerg-13528	285	3	gayatri	gayatri	PROPN
fuelectenerg-13528	285	4	lenka	lenka	PROPN
fuelectenerg-13528	285	5	,	,	PUNCT
fuelectenerg-13528	285	6	p.	p.	PROPN
fuelectenerg-13528	285	7	mishra	mishra	PROPN
fuelectenerg-13528	285	8	,	,	PUNCT
fuelectenerg-13528	285	9	j.	j.	PROPN
fuelectenerg-13528	285	10	routray	routray	PROPN
fuelectenerg-13528	285	11	,	,	PUNCT
fuelectenerg-13528	285	12	m.	m.	NOUN
fuelectenerg-13528	285	13	kandpal	kandpal	PROPN
fuelectenerg-13528	285	14	,	,	PUNCT
fuelectenerg-13528	285	15	r.	r.	PROPN
fuelectenerg-13528	285	16	kumar	kumar	PROPN
fuelectenerg-13528	285	17	dash	dash	PROPN
fuelectenerg-13528	285	18	,	,	PUNCT
fuelectenerg-13528	285	19	d.	d.	PROPN
fuelectenerg-13528	285	20	mishra	mishra	PROPN
fuelectenerg-13528	285	21	table	table	PROPN
fuelectenerg-13528	285	22	5	5	NUM
fuelectenerg-13528	285	23	performance	performance	NOUN
fuelectenerg-13528	285	24	metrics	metric	NOUN
fuelectenerg-13528	285	25	of	of	ADP
fuelectenerg-13528	285	26	different	different	ADJ
fuelectenerg-13528	285	27	classifiers	classifier	NOUN
fuelectenerg-13528	285	28	using	use	VERB
fuelectenerg-13528	285	29	cvd	cvd	PROPN
fuelectenerg-13528	285	30	dataset	dataset	VERB
fuelectenerg-13528	285	31	meta	meta	PROPN
fuelectenerg-13528	285	32	heuristic	heuristic	ADJ
fuelectenerg-13528	285	33	algorithm	algorithm	NOUN
fuelectenerg-13528	285	34	ml	ml	ADP
fuelectenerg-13528	285	35	classifiers	classifier	NOUN
fuelectenerg-13528	285	36	accuracy	accuracy	PROPN
fuelectenerg-13528	285	37	precision	precision	NOUN
fuelectenerg-13528	285	38	recall	recall	VERB
fuelectenerg-13528	285	39	f1	f1	NOUN
fuelectenerg-13528	285	40	-	-	PUNCT
fuelectenerg-13528	285	41	score	score	NOUN
fuelectenerg-13528	285	42	csa	csa	PROPN
fuelectenerg-13528	285	43	rf	rf	VERB
fuelectenerg-13528	285	44	93.28	93.28	NUM
fuelectenerg-13528	285	45	93.66	93.66	NUM
fuelectenerg-13528	285	46	94.58	94.58	NUM
fuelectenerg-13528	285	47	94.12	94.12	NUM
fuelectenerg-13528	285	48	dt	dt	NOUN
fuelectenerg-13528	285	49	91.88	91.88	NUM
fuelectenerg-13528	285	50	93.94	93.94	NUM
fuelectenerg-13528	285	51	91.63	91.63	NUM
fuelectenerg-13528	285	52	92.77	92.77	NUM
fuelectenerg-13528	285	53	knn	knn	NOUN
fuelectenerg-13528	285	54	88.80	88.80	NUM
fuelectenerg-13528	285	55	90.55	90.55	NUM
fuelectenerg-13528	285	56	89.66	89.66	NUM
fuelectenerg-13528	285	57	90.10	90.10	NUM
fuelectenerg-13528	285	58	svm	svm	PROPN
fuelectenerg-13528	285	59	83.75	83.75	NUM
fuelectenerg-13528	285	60	88.77	88.77	NUM
fuelectenerg-13528	285	61	81.77	81.77	NUM
fuelectenerg-13528	285	62	85.13	85.13	NUM
fuelectenerg-13528	285	63	naïve	naïve	ADJ
fuelectenerg-13528	285	64	bayes	baye	NOUN
fuelectenerg-13528	285	65	87.67	87.67	NUM
fuelectenerg-13528	285	66	89.34	89.34	NUM
fuelectenerg-13528	285	67	86.70	86.70	NUM
fuelectenerg-13528	285	68	88.00	88.00	NUM
fuelectenerg-13528	285	69	ga	ga	NOUN
fuelectenerg-13528	285	70	rf	rf	VERB
fuelectenerg-13528	285	71	92.44	92.44	NUM
fuelectenerg-13528	285	72	93.80	93.80	NUM
fuelectenerg-13528	285	73	92.37	92.37	NUM
fuelectenerg-13528	285	74	93.08	93.08	NUM
fuelectenerg-13528	285	75	dt	dt	NOUN
fuelectenerg-13528	285	76	88.24	88.24	NUM
fuelectenerg-13528	285	77	92.56	92.56	NUM
fuelectenerg-13528	285	78	85.50	85.50	NUM
fuelectenerg-13528	285	79	88.89	88.89	NUM
fuelectenerg-13528	285	80	knn	knn	PROPN
fuelectenerg-13528	285	81	85.71	85.71	NUM
fuelectenerg-13528	285	82	88.19	88.19	NUM
fuelectenerg-13528	285	83	85.50	85.50	NUM
fuelectenerg-13528	285	84	86.82	86.82	NUM
fuelectenerg-13528	285	85	svm	svm	PROPN
fuelectenerg-13528	285	86	84.03	84.03	NUM
fuelectenerg-13528	285	87	86.61	86.61	NUM
fuelectenerg-13528	285	88	83.97	83.97	NUM
fuelectenerg-13528	285	89	85.27	85.27	NUM
fuelectenerg-13528	285	90	naïve	naïve	ADJ
fuelectenerg-13528	285	91	bayes	baye	NOUN
fuelectenerg-13528	285	92	82.35	82.35	NUM
fuelectenerg-13528	285	93	86.78	86.78	NUM
fuelectenerg-13528	285	94	80.15	80.15	NUM
fuelectenerg-13528	285	95	83.33	83.33	NUM
fuelectenerg-13528	285	96	pso	pso	NOUN
fuelectenerg-13528	285	97	rf	rf	ADP
fuelectenerg-13528	285	98	94.12	94.12	NUM
fuelectenerg-13528	285	99	94.66	94.66	NUM
fuelectenerg-13528	285	100	94.66	94.66	NUM
fuelectenerg-13528	285	101	94.50	94.50	NUM
fuelectenerg-13528	285	102	dt	dt	NOUN
fuelectenerg-13528	285	103	89.08	89.08	NUM
fuelectenerg-13528	285	104	90.70	90.70	NUM
fuelectenerg-13528	285	105	89.31	89.31	NUM
fuelectenerg-13528	285	106	90.00	90.00	NUM
fuelectenerg-13528	285	107	knn	knn	NOUN
fuelectenerg-13528	285	108	87.82	87.82	NUM
fuelectenerg-13528	285	109	89.84	89.84	NUM
fuelectenerg-13528	285	110	87.89	87.89	NUM
fuelectenerg-13528	285	111	88.80	88.80	NUM
fuelectenerg-13528	285	112	svm	svm	NOUN
fuelectenerg-13528	285	113	86.13	86.13	NUM
fuelectenerg-13528	285	114	87.69	87.69	NUM
fuelectenerg-13528	285	115	87.02	87.02	NUM
fuelectenerg-13528	285	116	87.36	87.36	NUM
fuelectenerg-13528	285	117	naïve	naïve	ADJ
fuelectenerg-13528	285	118	bayes	baye	NOUN
fuelectenerg-13528	285	119	84.87	84.87	NUM
fuelectenerg-13528	285	120	85.71	85.71	NUM
fuelectenerg-13528	285	121	87.02	87.02	NUM
fuelectenerg-13528	285	122	86.36	86.36	NUM
fuelectenerg-13528	285	123	the	the	DET
fuelectenerg-13528	285	124	best	good	ADJ
fuelectenerg-13528	285	125	results	result	NOUN
fuelectenerg-13528	285	126	are	be	AUX
fuelectenerg-13528	285	127	in	in	ADP
fuelectenerg-13528	285	128	bold	bold	ADJ
fuelectenerg-13528	285	129	fig	fig	NOUN
fuelectenerg-13528	285	130	.	.	PUNCT
fuelectenerg-13528	286	1	6	6	NUM
fuelectenerg-13528	286	2	accuracy	accuracy	NOUN
fuelectenerg-13528	286	3	graph	graph	NOUN
fuelectenerg-13528	286	4	of	of	ADP
fuelectenerg-13528	286	5	different	different	ADJ
fuelectenerg-13528	286	6	classifiers	classifier	NOUN
fuelectenerg-13528	286	7	using	use	VERB
fuelectenerg-13528	286	8	cvd	cvd	PROPN
fuelectenerg-13528	286	9	dataset	dataset	NOUN
fuelectenerg-13528	286	10	table	table	NOUN
fuelectenerg-13528	286	11	6	6	NUM
fuelectenerg-13528	286	12	performance	performance	NOUN
fuelectenerg-13528	286	13	metrics	metric	NOUN
fuelectenerg-13528	286	14	of	of	ADP
fuelectenerg-13528	286	15	different	different	ADJ
fuelectenerg-13528	286	16	classifiers	classifier	NOUN
fuelectenerg-13528	286	17	using	use	VERB
fuelectenerg-13528	286	18	framingham	framingham	PROPN
fuelectenerg-13528	286	19	dataset	dataset	VERB
fuelectenerg-13528	286	20	meta	meta	PROPN
fuelectenerg-13528	286	21	heuristic	heuristic	ADJ
fuelectenerg-13528	286	22	algorithm	algorithm	NOUN
fuelectenerg-13528	286	23	ml	ml	ADP
fuelectenerg-13528	286	24	classifiers	classifier	NOUN
fuelectenerg-13528	286	25	accuracy	accuracy	PROPN
fuelectenerg-13528	286	26	precision	precision	NOUN
fuelectenerg-13528	286	27	recall	recall	VERB
fuelectenerg-13528	286	28	f1	f1	NOUN
fuelectenerg-13528	286	29	-	-	PUNCT
fuelectenerg-13528	286	30	score	score	NOUN
fuelectenerg-13528	286	31	csa	csa	PROPN
fuelectenerg-13528	286	32	rf	rf	ADP
fuelectenerg-13528	286	33	98.47	98.47	NUM
fuelectenerg-13528	286	34	98.57	98.57	NUM
fuelectenerg-13528	286	35	98.29	98.29	NUM
fuelectenerg-13528	286	36	98.42	98.42	NUM
fuelectenerg-13528	286	37	dt	dt	NOUN
fuelectenerg-13528	286	38	91.84	91.84	NUM
fuelectenerg-13528	286	39	86.21	86.21	NUM
fuelectenerg-13528	286	40	98.24	98.24	NUM
fuelectenerg-13528	286	41	92.27	92.27	NUM
fuelectenerg-13528	286	42	knn	knn	PROPN
fuelectenerg-13528	286	43	79.56	79.56	NUM
fuelectenerg-13528	286	44	73.32	73.32	NUM
fuelectenerg-13528	286	45	91.68	91.68	NUM
fuelectenerg-13528	286	46	81.48	81.48	NUM
fuelectenerg-13528	286	47	svm	svm	NOUN
fuelectenerg-13528	286	48	69.18	69.18	NUM
fuelectenerg-13528	286	49	66.78	66.78	NUM
fuelectenerg-13528	286	50	73.91	73.91	NUM
fuelectenerg-13528	286	51	70.17	70.17	NUM
fuelectenerg-13528	286	52	naïve	naïve	ADJ
fuelectenerg-13528	286	53	bayes	bayes	NOUN
fuelectenerg-13528	286	54	67.66	67.66	NUM
fuelectenerg-13528	286	55	66.57	66.57	NUM
fuelectenerg-13528	286	56	68.34	68.34	NUM
fuelectenerg-13528	286	57	67.44	67.44	NUM
fuelectenerg-13528	286	58	ga	ga	PROPN
fuelectenerg-13528	286	59	rf	rf	VERB
fuelectenerg-13528	286	60	90.65	90.65	NUM
fuelectenerg-13528	286	61	88.34	88.34	NUM
fuelectenerg-13528	286	62	90.48	90.48	NUM
fuelectenerg-13528	286	63	90.98	90.98	NUM
fuelectenerg-13528	286	64	dt	dt	ADP
fuelectenerg-13528	286	65	81.94	81.94	NUM
fuelectenerg-13528	286	66	78.40	78.40	NUM
fuelectenerg-13528	286	67	84.24	84.24	NUM
fuelectenerg-13528	286	68	81.63	81.63	NUM
fuelectenerg-13528	286	69	knn	knn	PROPN
fuelectenerg-13528	286	70	80.41	80.41	NUM
fuelectenerg-13528	286	71	72.78	72.78	NUM
fuelectenerg-13528	286	72	95.37	95.37	NUM
fuelectenerg-13528	286	73	82.60	82.60	NUM
fuelectenerg-13528	286	74	svm	svm	NOUN
fuelectenerg-13528	286	75	67.71	67.71	NUM
fuelectenerg-13528	286	76	64.59	64.59	NUM
fuelectenerg-13528	286	77	71.23	71.23	NUM
fuelectenerg-13528	286	78	67.39	67.39	NUM
fuelectenerg-13528	286	79	naïve	naïve	ADJ
fuelectenerg-13528	286	80	bayes	baye	NOUN
fuelectenerg-13528	286	81	61.80	61.80	NUM
fuelectenerg-13528	286	82	67.54	67.54	NUM
fuelectenerg-13528	286	83	38.43	38.43	NUM
fuelectenerg-13528	286	84	49.15	49.15	NUM
fuelectenerg-13528	286	85	pso	pso	NOUN
fuelectenerg-13528	286	86	rf	rf	VERB
fuelectenerg-13528	286	87	89.66	89.66	NUM
fuelectenerg-13528	286	88	89.28	89.28	NUM
fuelectenerg-13528	286	89	89.86	89.86	NUM
fuelectenerg-13528	286	90	89.66	89.66	NUM
fuelectenerg-13528	286	91	dt	dt	NOUN
fuelectenerg-13528	286	92	79.81	79.81	NUM
fuelectenerg-13528	286	93	77.20	77.20	NUM
fuelectenerg-13528	286	94	80.48	80.48	NUM
fuelectenerg-13528	286	95	79.54	79.54	NUM
fuelectenerg-13528	287	1	knn	knn	PROPN
fuelectenerg-13528	287	2	83.53	83.53	NUM
fuelectenerg-13528	287	3	75.50	75.50	NUM
fuelectenerg-13528	287	4	96.30	96.30	NUM
fuelectenerg-13528	287	5	85.21	85.21	NUM
fuelectenerg-13528	287	6	svm	svm	NOUN
fuelectenerg-13528	287	7	67.13	67.13	NUM
fuelectenerg-13528	287	8	65.31	65.31	NUM
fuelectenerg-13528	287	9	71.24	71.24	NUM
fuelectenerg-13528	287	10	68.96	68.96	NUM
fuelectenerg-13528	287	11	naïve	naïve	ADJ
fuelectenerg-13528	287	12	bayes	baye	NOUN
fuelectenerg-13528	287	13	61.38	61.38	NUM
fuelectenerg-13528	287	14	63.20	63.20	NUM
fuelectenerg-13528	287	15	47.84	47.84	NUM
fuelectenerg-13528	287	16	54.48	54.48	NUM
fuelectenerg-13528	287	17	the	the	DET
fuelectenerg-13528	287	18	best	good	ADJ
fuelectenerg-13528	287	19	results	result	NOUN
fuelectenerg-13528	287	20	are	be	AUX
fuelectenerg-13528	287	21	in	in	ADP
fuelectenerg-13528	287	22	bold	bold	ADJ
fuelectenerg-13528	287	23	optimizing	optimize	VERB
fuelectenerg-13528	287	24	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	287	25	disease	disease	NOUN
fuelectenerg-13528	287	26	diagnosis	diagnosis	NOUN
fuelectenerg-13528	287	27	:	:	PUNCT
fuelectenerg-13528	287	28	a	a	DET
fuelectenerg-13528	287	29	meta	meta	ADJ
fuelectenerg-13528	287	30	-	-	PUNCT
fuelectenerg-13528	287	31	heuristic	heuristic	ADJ
fuelectenerg-13528	287	32	and	and	CCONJ
fuelectenerg-13528	287	33	fuzzy	fuzzy	ADJ
fuelectenerg-13528	287	34	logic	logic	NOUN
fuelectenerg-13528	287	35	-	-	PUNCT
fuelectenerg-13528	287	36	based	base	VERB
fuelectenerg-13528	287	37	approach	approach	NOUN
fuelectenerg-13528	287	38	71	71	NUM
fuelectenerg-13528	287	39	fig	fig	NOUN
fuelectenerg-13528	287	40	.	.	PUNCT
fuelectenerg-13528	288	1	7	7	NUM
fuelectenerg-13528	288	2	accuracy	accuracy	NOUN
fuelectenerg-13528	288	3	graph	graph	NOUN
fuelectenerg-13528	288	4	of	of	ADP
fuelectenerg-13528	288	5	different	different	ADJ
fuelectenerg-13528	288	6	classifiers	classifier	NOUN
fuelectenerg-13528	288	7	using	use	VERB
fuelectenerg-13528	288	8	framingham	framingham	PROPN
fuelectenerg-13528	288	9	dataset	dataset	PROPN
fuelectenerg-13528	288	10	fig	fig	PROPN
fuelectenerg-13528	288	11	.	.	PUNCT
fuelectenerg-13528	288	12	8	8	NUM
fuelectenerg-13528	288	13	(	(	PUNCT
fuelectenerg-13528	288	14	a	a	DET
fuelectenerg-13528	288	15	)	)	PUNCT
fuelectenerg-13528	288	16	fig	fig	NOUN
fuelectenerg-13528	288	17	.	.	PUNCT
fuelectenerg-13528	288	18	8	8	NUM
fuelectenerg-13528	288	19	(	(	PUNCT
fuelectenerg-13528	288	20	b	b	NOUN
fuelectenerg-13528	288	21	)	)	PUNCT
fuelectenerg-13528	288	22	fig	fig	NOUN
fuelectenerg-13528	288	23	.	.	PUNCT
fuelectenerg-13528	288	24	8	8	NUM
fuelectenerg-13528	288	25	(	(	PUNCT
fuelectenerg-13528	288	26	c	c	NOUN
fuelectenerg-13528	288	27	)	)	PUNCT
fuelectenerg-13528	288	28	fig	fig	NOUN
fuelectenerg-13528	288	29	.	.	PUNCT
fuelectenerg-13528	288	30	8	8	NUM
fuelectenerg-13528	288	31	(	(	PUNCT
fuelectenerg-13528	288	32	a	a	NOUN
fuelectenerg-13528	288	33	)	)	PUNCT
fuelectenerg-13528	288	34	represents	represent	VERB
fuelectenerg-13528	288	35	a	a	DET
fuelectenerg-13528	288	36	confusion	confusion	NOUN
fuelectenerg-13528	288	37	matrix	matrix	NOUN
fuelectenerg-13528	288	38	for	for	ADP
fuelectenerg-13528	288	39	rf	rf	NOUN
fuelectenerg-13528	288	40	classifier	classifier	NOUN
fuelectenerg-13528	288	41	using	use	VERB
fuelectenerg-13528	288	42	csa	csa	PROPN
fuelectenerg-13528	288	43	technique	technique	NOUN
fuelectenerg-13528	288	44	for	for	SCONJ
fuelectenerg-13528	288	45	cvd	cvd	PROPN
fuelectenerg-13528	288	46	dataset	dataset	PROPN
fuelectenerg-13528	288	47	.	.	PUNCT
fuelectenerg-13528	289	1	fig	fig	NOUN
fuelectenerg-13528	289	2	.	.	PUNCT
fuelectenerg-13528	290	1	8	8	NUM
fuelectenerg-13528	290	2	(	(	PUNCT
fuelectenerg-13528	290	3	b	b	NOUN
fuelectenerg-13528	290	4	)	)	PUNCT
fuelectenerg-13528	290	5	represents	represent	VERB
fuelectenerg-13528	290	6	a	a	DET
fuelectenerg-13528	290	7	matrix	matrix	NOUN
fuelectenerg-13528	290	8	for	for	ADP
fuelectenerg-13528	290	9	rf	rf	NOUN
fuelectenerg-13528	290	10	classifiers	classifier	NOUN
fuelectenerg-13528	290	11	using	use	VERB
fuelectenerg-13528	290	12	ga	ga	NOUN
fuelectenerg-13528	290	13	technique	technique	NOUN
fuelectenerg-13528	290	14	for	for	SCONJ
fuelectenerg-13528	290	15	cvd	cvd	PROPN
fuelectenerg-13528	290	16	dataset	dataset	PROPN
fuelectenerg-13528	290	17	.	.	PUNCT
fuelectenerg-13528	291	1	fig	fig	NOUN
fuelectenerg-13528	291	2	.	.	PUNCT
fuelectenerg-13528	292	1	8	8	NUM
fuelectenerg-13528	292	2	(	(	PUNCT
fuelectenerg-13528	292	3	c	c	NOUN
fuelectenerg-13528	292	4	)	)	PUNCT
fuelectenerg-13528	292	5	represents	represent	VERB
fuelectenerg-13528	292	6	the	the	DET
fuelectenerg-13528	292	7	matrix	matrix	NOUN
fuelectenerg-13528	292	8	for	for	ADP
fuelectenerg-13528	292	9	rf	rf	NOUN
fuelectenerg-13528	292	10	classifier	classifier	NOUN
fuelectenerg-13528	292	11	using	use	VERB
fuelectenerg-13528	292	12	pso	pso	NOUN
fuelectenerg-13528	292	13	technique	technique	NOUN
fuelectenerg-13528	292	14	for	for	SCONJ
fuelectenerg-13528	292	15	cvd	cvd	PROPN
fuelectenerg-13528	292	16	dataset	dataset	VERB
fuelectenerg-13528	292	17	.	.	PUNCT
fuelectenerg-13528	293	1	©	©	PROPN
fuelectenerg-13528	293	2	2026	2026	NUM
fuelectenerg-13528	293	3	by	by	ADP
fuelectenerg-13528	293	4	university	university	PROPN
fuelectenerg-13528	293	5	of	of	ADP
fuelectenerg-13528	293	6	niš	niš	PROPN
fuelectenerg-13528	293	7	,	,	PUNCT
fuelectenerg-13528	293	8	serbia	serbia	PROPN
fuelectenerg-13528	293	9	|	|	ADV
fuelectenerg-13528	293	10	creative	creative	ADJ
fuelectenerg-13528	293	11	commons	common	NOUN
fuelectenerg-13528	293	12	license	license	NOUN
fuelectenerg-13528	293	13	:	:	PUNCT
fuelectenerg-13528	293	14	cc	cc	VERB
fuelectenerg-13528	293	15	by	by	ADP
fuelectenerg-13528	293	16	-	-	PUNCT
fuelectenerg-13528	293	17	nc	nc	PROPN
fuelectenerg-13528	293	18	-	-	PUNCT
fuelectenerg-13528	293	19	nd	nd	NOUN
fuelectenerg-13528	293	20	fig	fig	NOUN
fuelectenerg-13528	293	21	.	.	PUNCT
fuelectenerg-13528	294	1	9	9	NUM
fuelectenerg-13528	294	2	(	(	PUNCT
fuelectenerg-13528	294	3	a	a	PRON
fuelectenerg-13528	294	4	)	)	PUNCT
fuelectenerg-13528	294	5	fig	fig	NOUN
fuelectenerg-13528	294	6	.	.	PUNCT
fuelectenerg-13528	295	1	9	9	NUM
fuelectenerg-13528	295	2	(	(	PUNCT
fuelectenerg-13528	295	3	b	b	NOUN
fuelectenerg-13528	295	4	)	)	PUNCT
fuelectenerg-13528	295	5	fig	fig	NOUN
fuelectenerg-13528	295	6	.	.	PUNCT
fuelectenerg-13528	296	1	9	9	NUM
fuelectenerg-13528	296	2	(	(	PUNCT
fuelectenerg-13528	296	3	c	c	NOUN
fuelectenerg-13528	296	4	)	)	PUNCT
fuelectenerg-13528	296	5	fig	fig	NOUN
fuelectenerg-13528	296	6	.	.	PUNCT
fuelectenerg-13528	297	1	9	9	NUM
fuelectenerg-13528	297	2	(	(	PUNCT
fuelectenerg-13528	297	3	a	a	NOUN
fuelectenerg-13528	297	4	)	)	PUNCT
fuelectenerg-13528	297	5	represents	represent	VERB
fuelectenerg-13528	297	6	the	the	DET
fuelectenerg-13528	297	7	matrix	matrix	NOUN
fuelectenerg-13528	297	8	for	for	ADP
fuelectenerg-13528	297	9	rf	rf	NOUN
fuelectenerg-13528	297	10	classifier	classifier	NOUN
fuelectenerg-13528	297	11	using	use	VERB
fuelectenerg-13528	297	12	csa	csa	PROPN
fuelectenerg-13528	297	13	technique	technique	NOUN
fuelectenerg-13528	297	14	for	for	ADP
fuelectenerg-13528	297	15	framingham	framingham	PROPN
fuelectenerg-13528	297	16	dataset	dataset	PROPN
fuelectenerg-13528	297	17	.	.	PUNCT
fuelectenerg-13528	298	1	fig	fig	NOUN
fuelectenerg-13528	298	2	.	.	PUNCT
fuelectenerg-13528	299	1	9	9	NUM
fuelectenerg-13528	299	2	(	(	PUNCT
fuelectenerg-13528	299	3	b	b	NOUN
fuelectenerg-13528	299	4	)	)	PUNCT
fuelectenerg-13528	299	5	represents	represent	VERB
fuelectenerg-13528	299	6	the	the	DET
fuelectenerg-13528	299	7	matrix	matrix	NOUN
fuelectenerg-13528	299	8	for	for	ADP
fuelectenerg-13528	299	9	rf	rf	NOUN
fuelectenerg-13528	299	10	classifier	classifier	NOUN
fuelectenerg-13528	299	11	using	use	VERB
fuelectenerg-13528	299	12	ga	ga	NOUN
fuelectenerg-13528	299	13	technique	technique	NOUN
fuelectenerg-13528	299	14	for	for	ADP
fuelectenerg-13528	299	15	framingham	framingham	PROPN
fuelectenerg-13528	299	16	dataset	dataset	PROPN
fuelectenerg-13528	299	17	.	.	PUNCT
fuelectenerg-13528	300	1	fig	fig	NOUN
fuelectenerg-13528	300	2	.	.	PUNCT
fuelectenerg-13528	301	1	9	9	NUM
fuelectenerg-13528	301	2	(	(	PUNCT
fuelectenerg-13528	301	3	c	c	NOUN
fuelectenerg-13528	301	4	)	)	PUNCT
fuelectenerg-13528	301	5	represents	represent	VERB
fuelectenerg-13528	301	6	the	the	DET
fuelectenerg-13528	301	7	matrix	matrix	NOUN
fuelectenerg-13528	301	8	for	for	ADP
fuelectenerg-13528	301	9	rf	rf	NOUN
fuelectenerg-13528	301	10	classifier	classifier	NOUN
fuelectenerg-13528	301	11	using	use	VERB
fuelectenerg-13528	301	12	pso	pso	NOUN
fuelectenerg-13528	301	13	technique	technique	NOUN
fuelectenerg-13528	301	14	for	for	ADP
fuelectenerg-13528	301	15	framingham	framingham	PROPN
fuelectenerg-13528	301	16	dataset	dataset	PROPN
fuelectenerg-13528	301	17	.	.	PUNCT
fuelectenerg-13528	302	1	fig	fig	NOUN
fuelectenerg-13528	302	2	.	.	PUNCT
fuelectenerg-13528	303	1	10	10	NUM
fuelectenerg-13528	303	2	(	(	PUNCT
fuelectenerg-13528	303	3	a	a	X
fuelectenerg-13528	303	4	)	)	PUNCT
fuelectenerg-13528	303	5	shows	show	VERB
fuelectenerg-13528	303	6	how	how	SCONJ
fuelectenerg-13528	303	7	training	training	NOUN
fuelectenerg-13528	303	8	accuracy	accuracy	NOUN
fuelectenerg-13528	303	9	and	and	CCONJ
fuelectenerg-13528	303	10	loss	loss	NOUN
fuelectenerg-13528	303	11	evolve	evolve	VERB
fuelectenerg-13528	303	12	over	over	ADP
fuelectenerg-13528	303	13	50	50	NUM
fuelectenerg-13528	303	14	iterations	iteration	NOUN
fuelectenerg-13528	303	15	using	use	VERB
fuelectenerg-13528	303	16	particle	particle	NOUN
fuelectenerg-13528	303	17	swarm	swarm	NOUN
fuelectenerg-13528	303	18	optimization	optimization	NOUN
fuelectenerg-13528	303	19	(	(	PUNCT
fuelectenerg-13528	303	20	pso	pso	NOUN
fuelectenerg-13528	303	21	)	)	PUNCT
fuelectenerg-13528	303	22	.	.	PUNCT
fuelectenerg-13528	304	1	accuracy	accuracy	NOUN
fuelectenerg-13528	304	2	(	(	PUNCT
fuelectenerg-13528	304	3	green	green	ADJ
fuelectenerg-13528	304	4	line	line	NOUN
fuelectenerg-13528	304	5	)	)	PUNCT
fuelectenerg-13528	304	6	steadily	steadily	ADV
fuelectenerg-13528	304	7	increases	increase	VERB
fuelectenerg-13528	304	8	,	,	PUNCT
fuelectenerg-13528	304	9	while	while	SCONJ
fuelectenerg-13528	304	10	loss	loss	NOUN
fuelectenerg-13528	304	11	(	(	PUNCT
fuelectenerg-13528	304	12	red	red	ADJ
fuelectenerg-13528	304	13	line	line	NOUN
fuelectenerg-13528	304	14	)	)	PUNCT
fuelectenerg-13528	304	15	consistently	consistently	ADV
fuelectenerg-13528	304	16	decreases	decrease	VERB
fuelectenerg-13528	304	17	,	,	PUNCT
fuelectenerg-13528	304	18	indicating	indicate	VERB
fuelectenerg-13528	304	19	that	that	SCONJ
fuelectenerg-13528	304	20	the	the	DET
fuelectenerg-13528	304	21	model	model	NOUN
fuelectenerg-13528	304	22	is	be	AUX
fuelectenerg-13528	304	23	learning	learn	VERB
fuelectenerg-13528	304	24	and	and	CCONJ
fuelectenerg-13528	304	25	improving	improve	VERB
fuelectenerg-13528	304	26	its	its	PRON
fuelectenerg-13528	304	27	performance	performance	NOUN
fuelectenerg-13528	304	28	over	over	ADP
fuelectenerg-13528	304	29	time	time	NOUN
fuelectenerg-13528	304	30	.	.	PUNCT
fuelectenerg-13528	305	1	optimizing	optimize	VERB
fuelectenerg-13528	305	2	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	305	3	disease	disease	NOUN
fuelectenerg-13528	305	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	305	5	:	:	PUNCT
fuelectenerg-13528	305	6	a	a	DET
fuelectenerg-13528	305	7	meta	meta	ADJ
fuelectenerg-13528	305	8	-	-	PUNCT
fuelectenerg-13528	305	9	heuristic	heuristic	ADJ
fuelectenerg-13528	305	10	and	and	CCONJ
fuelectenerg-13528	305	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	305	12	logic	logic	NOUN
fuelectenerg-13528	305	13	-	-	PUNCT
fuelectenerg-13528	305	14	based	base	VERB
fuelectenerg-13528	305	15	approach	approach	NOUN
fuelectenerg-13528	305	16	73	73	NUM
fuelectenerg-13528	305	17	fig	fig	NOUN
fuelectenerg-13528	305	18	.	.	PUNCT
fuelectenerg-13528	306	1	10	10	NUM
fuelectenerg-13528	306	2	(	(	PUNCT
fuelectenerg-13528	306	3	a	a	NOUN
fuelectenerg-13528	306	4	)	)	PUNCT
fuelectenerg-13528	306	5	training	training	NOUN
fuelectenerg-13528	306	6	accuracy	accuracy	NOUN
fuelectenerg-13528	306	7	and	and	CCONJ
fuelectenerg-13528	306	8	loss	loss	NOUN
fuelectenerg-13528	306	9	for	for	ADP
fuelectenerg-13528	306	10	pso	pso	NOUN
fuelectenerg-13528	306	11	on	on	ADP
fuelectenerg-13528	306	12	cvd	cvd	PROPN
fuelectenerg-13528	306	13	fig	fig	PROPN
fuelectenerg-13528	306	14	.	.	PUNCT
fuelectenerg-13528	307	1	10	10	NUM
fuelectenerg-13528	307	2	(	(	PUNCT
fuelectenerg-13528	307	3	b	b	NOUN
fuelectenerg-13528	307	4	)	)	PUNCT
fuelectenerg-13528	307	5	shows	show	VERB
fuelectenerg-13528	307	6	how	how	SCONJ
fuelectenerg-13528	307	7	training	training	NOUN
fuelectenerg-13528	307	8	accuracy	accuracy	NOUN
fuelectenerg-13528	307	9	and	and	CCONJ
fuelectenerg-13528	307	10	loss	loss	NOUN
fuelectenerg-13528	307	11	evolve	evolve	VERB
fuelectenerg-13528	307	12	over	over	ADP
fuelectenerg-13528	307	13	50	50	NUM
fuelectenerg-13528	307	14	iterations	iteration	NOUN
fuelectenerg-13528	307	15	using	use	VERB
fuelectenerg-13528	307	16	cuckoo	cuckoo	NOUN
fuelectenerg-13528	307	17	search	search	NOUN
fuelectenerg-13528	307	18	algorithm	algorithm	NOUN
fuelectenerg-13528	307	19	(	(	PUNCT
fuelectenerg-13528	307	20	csa	csa	PROPN
fuelectenerg-13528	307	21	)	)	PUNCT
fuelectenerg-13528	307	22	.	.	PUNCT
fuelectenerg-13528	308	1	accuracy	accuracy	NOUN
fuelectenerg-13528	308	2	(	(	PUNCT
fuelectenerg-13528	308	3	green	green	ADJ
fuelectenerg-13528	308	4	line	line	NOUN
fuelectenerg-13528	308	5	)	)	PUNCT
fuelectenerg-13528	308	6	steadily	steadily	ADV
fuelectenerg-13528	308	7	increases	increase	VERB
fuelectenerg-13528	308	8	,	,	PUNCT
fuelectenerg-13528	308	9	while	while	SCONJ
fuelectenerg-13528	308	10	loss	loss	NOUN
fuelectenerg-13528	308	11	(	(	PUNCT
fuelectenerg-13528	308	12	red	red	ADJ
fuelectenerg-13528	308	13	line	line	NOUN
fuelectenerg-13528	308	14	)	)	PUNCT
fuelectenerg-13528	308	15	consistently	consistently	ADV
fuelectenerg-13528	308	16	decreases	decrease	VERB
fuelectenerg-13528	308	17	,	,	PUNCT
fuelectenerg-13528	308	18	indicating	indicate	VERB
fuelectenerg-13528	308	19	that	that	SCONJ
fuelectenerg-13528	308	20	the	the	DET
fuelectenerg-13528	308	21	model	model	NOUN
fuelectenerg-13528	308	22	is	be	AUX
fuelectenerg-13528	308	23	learning	learn	VERB
fuelectenerg-13528	308	24	and	and	CCONJ
fuelectenerg-13528	308	25	improving	improve	VERB
fuelectenerg-13528	308	26	its	its	PRON
fuelectenerg-13528	308	27	performance	performance	NOUN
fuelectenerg-13528	308	28	over	over	ADP
fuelectenerg-13528	308	29	time	time	NOUN
fuelectenerg-13528	308	30	.	.	PUNCT
fuelectenerg-13528	309	1	fig	fig	NOUN
fuelectenerg-13528	309	2	.	.	PUNCT
fuelectenerg-13528	310	1	10	10	NUM
fuelectenerg-13528	310	2	(	(	PUNCT
fuelectenerg-13528	310	3	b	b	NOUN
fuelectenerg-13528	310	4	)	)	PUNCT
fuelectenerg-13528	310	5	training	training	NOUN
fuelectenerg-13528	310	6	accuracy	accuracy	NOUN
fuelectenerg-13528	310	7	and	and	CCONJ
fuelectenerg-13528	310	8	loss	loss	NOUN
fuelectenerg-13528	310	9	for	for	ADP
fuelectenerg-13528	310	10	csa	csa	PROPN
fuelectenerg-13528	310	11	on	on	ADP
fuelectenerg-13528	310	12	framingham	framingham	PROPN
fuelectenerg-13528	310	13	fig	fig	PROPN
fuelectenerg-13528	310	14	.	.	PUNCT
fuelectenerg-13528	311	1	11	11	NUM
fuelectenerg-13528	311	2	(	(	PUNCT
fuelectenerg-13528	311	3	a	a	X
fuelectenerg-13528	311	4	)	)	PUNCT
fuelectenerg-13528	311	5	represents	represent	VERB
fuelectenerg-13528	311	6	roc	roc	PROPN
fuelectenerg-13528	311	7	curve	curve	NOUN
fuelectenerg-13528	311	8	which	which	PRON
fuelectenerg-13528	311	9	compares	compare	VERB
fuelectenerg-13528	311	10	five	five	NUM
fuelectenerg-13528	311	11	classifiers	classifier	NOUN
fuelectenerg-13528	311	12	for	for	ADP
fuelectenerg-13528	311	13	cvd	cvd	PROPN
fuelectenerg-13528	311	14	dataset	dataset	PROPN
fuelectenerg-13528	311	15	.	.	PUNCT
fuelectenerg-13528	312	1	the	the	DET
fuelectenerg-13528	312	2	random	random	ADJ
fuelectenerg-13528	312	3	forest	forest	NOUN
fuelectenerg-13528	312	4	model	model	NOUN
fuelectenerg-13528	312	5	(	(	PUNCT
fuelectenerg-13528	312	6	auc	auc	NOUN
fuelectenerg-13528	312	7	=	=	SYM
fuelectenerg-13528	312	8	0.98	0.98	NUM
fuelectenerg-13528	312	9	)	)	PUNCT
fuelectenerg-13528	312	10	outperforms	outperform	VERB
fuelectenerg-13528	312	11	the	the	DET
fuelectenerg-13528	312	12	others	other	NOUN
fuelectenerg-13528	312	13	,	,	PUNCT
fuelectenerg-13528	312	14	while	while	SCONJ
fuelectenerg-13528	312	15	decision	decision	NOUN
fuelectenerg-13528	312	16	tree	tree	NOUN
fuelectenerg-13528	312	17	,	,	PUNCT
fuelectenerg-13528	312	18	knn	knn	PROPN
fuelectenerg-13528	312	19	,	,	PUNCT
fuelectenerg-13528	312	20	svm	svm	PROPN
fuelectenerg-13528	312	21	,	,	PUNCT
fuelectenerg-13528	312	22	and	and	CCONJ
fuelectenerg-13528	312	23	naive	naive	ADJ
fuelectenerg-13528	312	24	bayes	baye	NOUN
fuelectenerg-13528	312	25	have	have	VERB
fuelectenerg-13528	312	26	similar	similar	ADJ
fuelectenerg-13528	312	27	but	but	CCONJ
fuelectenerg-13528	312	28	slightly	slightly	ADV
fuelectenerg-13528	312	29	lower	low	ADJ
fuelectenerg-13528	312	30	auc	auc	NOUN
fuelectenerg-13528	312	31	values	value	NOUN
fuelectenerg-13528	312	32	(	(	PUNCT
fuelectenerg-13528	312	33	~0.93–0.94	~0.93–0.94	NOUN
fuelectenerg-13528	312	34	)	)	PUNCT
fuelectenerg-13528	312	35	,	,	PUNCT
fuelectenerg-13528	312	36	indicating	indicate	VERB
fuelectenerg-13528	312	37	strong	strong	ADJ
fuelectenerg-13528	312	38	but	but	CCONJ
fuelectenerg-13528	312	39	slightly	slightly	ADV
fuelectenerg-13528	312	40	less	less	ADV
fuelectenerg-13528	312	41	accurate	accurate	ADJ
fuelectenerg-13528	312	42	performance	performance	NOUN
fuelectenerg-13528	312	43	.	.	PUNCT
fuelectenerg-13528	313	1	74	74	NUM
fuelectenerg-13528	313	2	g.	g.	PROPN
fuelectenerg-13528	313	3	gayatri	gayatri	PROPN
fuelectenerg-13528	313	4	lenka	lenka	PROPN
fuelectenerg-13528	313	5	,	,	PUNCT
fuelectenerg-13528	313	6	p.	p.	PROPN
fuelectenerg-13528	313	7	mishra	mishra	PROPN
fuelectenerg-13528	313	8	,	,	PUNCT
fuelectenerg-13528	313	9	j.	j.	PROPN
fuelectenerg-13528	313	10	routray	routray	PROPN
fuelectenerg-13528	313	11	,	,	PUNCT
fuelectenerg-13528	313	12	m.	m.	NOUN
fuelectenerg-13528	313	13	kandpal	kandpal	PROPN
fuelectenerg-13528	313	14	,	,	PUNCT
fuelectenerg-13528	313	15	r.	r.	PROPN
fuelectenerg-13528	313	16	kumar	kumar	PROPN
fuelectenerg-13528	313	17	dash	dash	PROPN
fuelectenerg-13528	313	18	,	,	PUNCT
fuelectenerg-13528	313	19	d.	d.	PROPN
fuelectenerg-13528	313	20	mishra	mishra	PROPN
fuelectenerg-13528	313	21	fig	fig	PROPN
fuelectenerg-13528	313	22	.	.	PUNCT
fuelectenerg-13528	314	1	11	11	NUM
fuelectenerg-13528	314	2	(	(	PUNCT
fuelectenerg-13528	314	3	a	a	NOUN
fuelectenerg-13528	314	4	)	)	PUNCT
fuelectenerg-13528	314	5	roc	roc	NOUN
fuelectenerg-13528	314	6	curve	curve	NOUN
fuelectenerg-13528	314	7	for	for	ADP
fuelectenerg-13528	314	8	all	all	DET
fuelectenerg-13528	314	9	classifiers	classifier	NOUN
fuelectenerg-13528	314	10	using	use	VERB
fuelectenerg-13528	314	11	pso	pso	NOUN
fuelectenerg-13528	314	12	for	for	ADP
fuelectenerg-13528	314	13	cvd	cvd	PROPN
fuelectenerg-13528	314	14	fig	fig	PROPN
fuelectenerg-13528	314	15	11	11	NUM
fuelectenerg-13528	314	16	(	(	PUNCT
fuelectenerg-13528	314	17	b	b	NOUN
fuelectenerg-13528	314	18	)	)	PUNCT
fuelectenerg-13528	314	19	represents	represent	VERB
fuelectenerg-13528	314	20	roc	roc	PROPN
fuelectenerg-13528	314	21	curve	curve	NOUN
fuelectenerg-13528	314	22	which	which	PRON
fuelectenerg-13528	314	23	compares	compare	VERB
fuelectenerg-13528	314	24	several	several	ADJ
fuelectenerg-13528	314	25	classifiers	classifier	NOUN
fuelectenerg-13528	314	26	for	for	ADP
fuelectenerg-13528	314	27	framingham	framingham	PROPN
fuelectenerg-13528	314	28	dataset	dataset	PROPN
fuelectenerg-13528	314	29	,	,	PUNCT
fuelectenerg-13528	314	30	showing	show	VERB
fuelectenerg-13528	314	31	that	that	DET
fuelectenerg-13528	314	32	random	random	ADJ
fuelectenerg-13528	314	33	forest	forest	NOUN
fuelectenerg-13528	314	34	(	(	PUNCT
fuelectenerg-13528	314	35	auc	auc	NOUN
fuelectenerg-13528	314	36	=	=	NOUN
fuelectenerg-13528	314	37	0.99	0.99	NUM
fuelectenerg-13528	314	38	)	)	PUNCT
fuelectenerg-13528	314	39	performs	perform	VERB
fuelectenerg-13528	314	40	the	the	DET
fuelectenerg-13528	314	41	best	good	ADJ
fuelectenerg-13528	314	42	,	,	PUNCT
fuelectenerg-13528	314	43	followed	follow	VERB
fuelectenerg-13528	314	44	by	by	ADP
fuelectenerg-13528	314	45	decision	decision	NOUN
fuelectenerg-13528	314	46	tree	tree	NOUN
fuelectenerg-13528	314	47	(	(	PUNCT
fuelectenerg-13528	314	48	auc	auc	NOUN
fuelectenerg-13528	314	49	=	=	NOUN
fuelectenerg-13528	314	50	0.90	0.90	NUM
fuelectenerg-13528	314	51	)	)	PUNCT
fuelectenerg-13528	314	52	and	and	CCONJ
fuelectenerg-13528	314	53	knn	knn	PROPN
fuelectenerg-13528	314	54	(	(	PUNCT
fuelectenerg-13528	314	55	auc	auc	X
fuelectenerg-13528	314	56	=	=	SYM
fuelectenerg-13528	314	57	0.85	0.85	NUM
fuelectenerg-13528	314	58	)	)	PUNCT
fuelectenerg-13528	314	59	.	.	PUNCT
fuelectenerg-13528	315	1	svm	svm	PROPN
fuelectenerg-13528	315	2	and	and	CCONJ
fuelectenerg-13528	315	3	naive	naive	ADJ
fuelectenerg-13528	315	4	bayes	baye	NOUN
fuelectenerg-13528	315	5	perform	perform	VERB
fuelectenerg-13528	315	6	comparatively	comparatively	ADV
fuelectenerg-13528	315	7	worse	bad	ADJ
fuelectenerg-13528	315	8	with	with	ADP
fuelectenerg-13528	315	9	lower	low	ADJ
fuelectenerg-13528	315	10	auc	auc	NOUN
fuelectenerg-13528	315	11	values	value	NOUN
fuelectenerg-13528	315	12	(	(	PUNCT
fuelectenerg-13528	315	13	around	around	ADP
fuelectenerg-13528	315	14	0.72	0.72	NUM
fuelectenerg-13528	315	15	)	)	PUNCT
fuelectenerg-13528	315	16	,	,	PUNCT
fuelectenerg-13528	315	17	indicating	indicate	VERB
fuelectenerg-13528	315	18	less	less	ADV
fuelectenerg-13528	315	19	effective	effective	ADJ
fuelectenerg-13528	315	20	classification	classification	NOUN
fuelectenerg-13528	315	21	.	.	PUNCT
fuelectenerg-13528	316	1	fig	fig	NOUN
fuelectenerg-13528	316	2	.	.	PUNCT
fuelectenerg-13528	317	1	11	11	NUM
fuelectenerg-13528	317	2	(	(	PUNCT
fuelectenerg-13528	317	3	b	b	NOUN
fuelectenerg-13528	317	4	)	)	PUNCT
fuelectenerg-13528	317	5	roc	roc	NOUN
fuelectenerg-13528	317	6	curve	curve	NOUN
fuelectenerg-13528	317	7	for	for	ADP
fuelectenerg-13528	317	8	all	all	DET
fuelectenerg-13528	317	9	classifiers	classifier	NOUN
fuelectenerg-13528	317	10	using	use	VERB
fuelectenerg-13528	317	11	csa	csa	PROPN
fuelectenerg-13528	317	12	for	for	ADP
fuelectenerg-13528	317	13	framingham	framingham	PROPN
fuelectenerg-13528	317	14	table	table	NOUN
fuelectenerg-13528	317	15	7	7	NUM
fuelectenerg-13528	317	16	represents	represent	VERB
fuelectenerg-13528	317	17	the	the	DET
fuelectenerg-13528	317	18	predicted	predict	VERB
fuelectenerg-13528	317	19	output	output	NOUN
fuelectenerg-13528	317	20	after	after	ADP
fuelectenerg-13528	317	21	applying	apply	VERB
fuelectenerg-13528	317	22	the	the	DET
fuelectenerg-13528	317	23	fuzzy	fuzzy	ADJ
fuelectenerg-13528	317	24	inference	inference	NOUN
fuelectenerg-13528	317	25	rules	rule	NOUN
fuelectenerg-13528	317	26	and	and	CCONJ
fuelectenerg-13528	317	27	table	table	NOUN
fuelectenerg-13528	317	28	8	8	NUM
fuelectenerg-13528	317	29	represents	represent	VERB
fuelectenerg-13528	317	30	the	the	DET
fuelectenerg-13528	317	31	comparison	comparison	NOUN
fuelectenerg-13528	317	32	of	of	ADP
fuelectenerg-13528	317	33	our	our	PRON
fuelectenerg-13528	317	34	work	work	NOUN
fuelectenerg-13528	317	35	with	with	ADP
fuelectenerg-13528	317	36	various	various	ADJ
fuelectenerg-13528	317	37	papers	paper	NOUN
fuelectenerg-13528	317	38	and	and	CCONJ
fuelectenerg-13528	317	39	shows	show	VERB
fuelectenerg-13528	317	40	that	that	SCONJ
fuelectenerg-13528	317	41	our	our	PRON
fuelectenerg-13528	317	42	work	work	NOUN
fuelectenerg-13528	317	43	performs	perform	VERB
fuelectenerg-13528	317	44	better	well	ADV
fuelectenerg-13528	317	45	and	and	CCONJ
fuelectenerg-13528	317	46	outperforms	outperform	VERB
fuelectenerg-13528	317	47	the	the	DET
fuelectenerg-13528	317	48	previous	previous	ADJ
fuelectenerg-13528	317	49	models	model	NOUN
fuelectenerg-13528	317	50	.	.	PUNCT
fuelectenerg-13528	318	1	optimizing	optimize	VERB
fuelectenerg-13528	318	2	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	318	3	disease	disease	NOUN
fuelectenerg-13528	318	4	diagnosis	diagnosis	NOUN
fuelectenerg-13528	318	5	:	:	PUNCT
fuelectenerg-13528	318	6	a	a	DET
fuelectenerg-13528	318	7	meta	meta	ADJ
fuelectenerg-13528	318	8	-	-	PUNCT
fuelectenerg-13528	318	9	heuristic	heuristic	ADJ
fuelectenerg-13528	318	10	and	and	CCONJ
fuelectenerg-13528	318	11	fuzzy	fuzzy	ADJ
fuelectenerg-13528	318	12	logic	logic	NOUN
fuelectenerg-13528	318	13	-	-	PUNCT
fuelectenerg-13528	318	14	based	base	VERB
fuelectenerg-13528	318	15	approach	approach	NOUN
fuelectenerg-13528	318	16	75	75	NUM
fuelectenerg-13528	318	17	table	table	NOUN
fuelectenerg-13528	318	18	7	7	NUM
fuelectenerg-13528	318	19	predicted	predict	VERB
fuelectenerg-13528	318	20	output	output	NOUN
fuelectenerg-13528	318	21	after	after	ADP
fuelectenerg-13528	318	22	applying	apply	VERB
fuelectenerg-13528	318	23	fuzzy	fuzzy	ADJ
fuelectenerg-13528	318	24	if	if	SCONJ
fuelectenerg-13528	318	25	-	-	PUNCT
fuelectenerg-13528	318	26	then	then	ADV
fuelectenerg-13528	318	27	rules	rule	VERB
fuelectenerg-13528	318	28	features	feature	NOUN
fuelectenerg-13528	318	29	predicted	predict	VERB
fuelectenerg-13528	318	30	output	output	NOUN
fuelectenerg-13528	318	31	gender	gender	NOUN
fuelectenerg-13528	318	32	age	age	NOUN
fuelectenerg-13528	318	33	education	education	NOUN
fuelectenerg-13528	318	34	cigs	cig	NOUN
fuelectenerg-13528	318	35	per	per	ADP
fuelectenerg-13528	318	36	day	day	NOUN
fuelectenerg-13528	318	37	bpmeds	bpmed	VERB
fuelectenerg-13528	318	38	prevalent	prevalent	ADJ
fuelectenerg-13528	318	39	stroke	stroke	NOUN
fuelectenerg-13528	318	40	prevalent	prevalent	ADJ
fuelectenerg-13528	318	41	hyp	hyp	PROPN
fuelectenerg-13528	318	42	glucose	glucose	NOUN
fuelectenerg-13528	318	43	1	1	NUM
fuelectenerg-13528	318	44	39	39	NUM
fuelectenerg-13528	318	45	4	4	NUM
fuelectenerg-13528	318	46	0	0	NUM
fuelectenerg-13528	318	47	0	0	NUM
fuelectenerg-13528	318	48	0	0	NUM
fuelectenerg-13528	318	49	0	0	NUM
fuelectenerg-13528	318	50	77	77	NUM
fuelectenerg-13528	318	51	healthy	healthy	ADJ
fuelectenerg-13528	318	52	0	0	NUM
fuelectenerg-13528	318	53	46	46	NUM
fuelectenerg-13528	318	54	2	2	NUM
fuelectenerg-13528	318	55	0	0	NUM
fuelectenerg-13528	318	56	0	0	NUM
fuelectenerg-13528	318	57	0	0	NUM
fuelectenerg-13528	318	58	0	0	NUM
fuelectenerg-13528	319	1	76	76	NUM
fuelectenerg-13528	319	2	healthy	healthy	ADJ
fuelectenerg-13528	319	3	1	1	NUM
fuelectenerg-13528	319	4	70	70	NUM
fuelectenerg-13528	319	5	1	1	NUM
fuelectenerg-13528	319	6	30	30	NUM
fuelectenerg-13528	319	7	1	1	NUM
fuelectenerg-13528	319	8	1	1	NUM
fuelectenerg-13528	319	9	1	1	NUM
fuelectenerg-13528	319	10	250	250	NUM
fuelectenerg-13528	319	11	disease	disease	NOUN
fuelectenerg-13528	319	12	0	0	NUM
fuelectenerg-13528	319	13	61	61	NUM
fuelectenerg-13528	319	14	3	3	NUM
fuelectenerg-13528	319	15	30	30	NUM
fuelectenerg-13528	319	16	0	0	NUM
fuelectenerg-13528	319	17	0	0	NUM
fuelectenerg-13528	319	18	1	1	NUM
fuelectenerg-13528	319	19	103	103	NUM
fuelectenerg-13528	319	20	healthy	healthy	ADJ
fuelectenerg-13528	319	21	0	0	NUM
fuelectenerg-13528	319	22	38	38	NUM
fuelectenerg-13528	319	23	2	2	NUM
fuelectenerg-13528	319	24	20	20	NUM
fuelectenerg-13528	319	25	0	0	NUM
fuelectenerg-13528	319	26	0	0	NUM
fuelectenerg-13528	319	27	1	1	NUM
fuelectenerg-13528	319	28	70	70	NUM
fuelectenerg-13528	319	29	disease	disease	NOUN
fuelectenerg-13528	319	30	table	table	NOUN
fuelectenerg-13528	319	31	8	8	NUM
fuelectenerg-13528	319	32	comparison	comparison	NOUN
fuelectenerg-13528	319	33	of	of	ADP
fuelectenerg-13528	319	34	different	different	ADJ
fuelectenerg-13528	319	35	techniques	technique	NOUN
fuelectenerg-13528	319	36	based	base	VERB
fuelectenerg-13528	319	37	on	on	ADP
fuelectenerg-13528	319	38	accuracy	accuracy	NOUN
fuelectenerg-13528	319	39	author	author	NOUN
fuelectenerg-13528	319	40	classifiers	classifier	NOUN
fuelectenerg-13528	319	41	accuracy	accuracy	NOUN
fuelectenerg-13528	319	42	(	(	PUNCT
fuelectenerg-13528	319	43	%	%	INTJ
fuelectenerg-13528	319	44	)	)	PUNCT
fuelectenerg-13528	319	45	tiwari	tiwari	NOUN
fuelectenerg-13528	319	46	et	et	PROPN
fuelectenerg-13528	319	47	al	al	PROPN
fuelectenerg-13528	319	48	.	.	PUNCT
fuelectenerg-13528	320	1	[	[	X
fuelectenerg-13528	320	2	3	3	NUM
fuelectenerg-13528	320	3	]	]	PART
fuelectenerg-13528	320	4	rf+et+xgb+gb	rf+et+xgb+gb	NOUN
fuelectenerg-13528	320	5	92.34	92.34	NUM
fuelectenerg-13528	320	6	ghosh	ghosh	NOUN
fuelectenerg-13528	320	7	et	et	PROPN
fuelectenerg-13528	320	8	al	al	PROPN
fuelectenerg-13528	320	9	.	.	PUNCT
fuelectenerg-13528	321	1	[	[	X
fuelectenerg-13528	321	2	4	4	NUM
fuelectenerg-13528	321	3	]	]	X
fuelectenerg-13528	321	4	random	random	ADJ
fuelectenerg-13528	321	5	forest	forest	NOUN
fuelectenerg-13528	321	6	92.00	92.00	NUM
fuelectenerg-13528	321	7	khan	khan	PROPN
fuelectenerg-13528	321	8	et	et	PROPN
fuelectenerg-13528	321	9	al	al	PROPN
fuelectenerg-13528	321	10	.	.	PUNCT
fuelectenerg-13528	322	1	[	[	X
fuelectenerg-13528	322	2	5	5	NUM
fuelectenerg-13528	322	3	]	]	X
fuelectenerg-13528	322	4	random	random	ADJ
fuelectenerg-13528	322	5	forest	forest	NOUN
fuelectenerg-13528	322	6	85.01	85.01	NUM
fuelectenerg-13528	322	7	nandakumar	nandakumar	PROPN
fuelectenerg-13528	322	8	et	et	PROPN
fuelectenerg-13528	322	9	al	al	PROPN
fuelectenerg-13528	322	10	.	.	PUNCT
fuelectenerg-13528	323	1	[	[	X
fuelectenerg-13528	323	2	8	8	NUM
fuelectenerg-13528	323	3	]	]	X
fuelectenerg-13528	323	4	dbn+csa	dbn+csa	VERB
fuelectenerg-13528	323	5	91.27	91.27	NUM
fuelectenerg-13528	323	6	doppala	doppala	NOUN
fuelectenerg-13528	323	7	et	et	PROPN
fuelectenerg-13528	323	8	al	al	PROPN
fuelectenerg-13528	323	9	.	.	PUNCT
fuelectenerg-13528	324	1	[	[	X
fuelectenerg-13528	324	2	10	10	NUM
fuelectenerg-13528	324	3	]	]	X
fuelectenerg-13528	324	4	ga+rbf	ga+rbf	PROPN
fuelectenerg-13528	324	5	94.20	94.20	NUM
fuelectenerg-13528	324	6	proposed	propose	VERB
fuelectenerg-13528	324	7	model	model	NOUN
fuelectenerg-13528	324	8	csa+rf	csa+rf	NOUN
fuelectenerg-13528	324	9	98.47	98.47	NUM
fuelectenerg-13528	324	10	7	7	NUM
fuelectenerg-13528	324	11	.	.	PUNCT
fuelectenerg-13528	324	12	conclusion	conclusion	NOUN
fuelectenerg-13528	324	13	and	and	CCONJ
fuelectenerg-13528	324	14	future	future	ADJ
fuelectenerg-13528	324	15	work	work	NOUN
fuelectenerg-13528	324	16	cvd	cvd	PROPN
fuelectenerg-13528	324	17	is	be	AUX
fuelectenerg-13528	324	18	the	the	DET
fuelectenerg-13528	324	19	most	most	ADV
fuelectenerg-13528	324	20	fatal	fatal	ADJ
fuelectenerg-13528	324	21	condition	condition	NOUN
fuelectenerg-13528	324	22	that	that	PRON
fuelectenerg-13528	324	23	is	be	AUX
fuelectenerg-13528	324	24	rapidly	rapidly	ADV
fuelectenerg-13528	324	25	expanding	expand	VERB
fuelectenerg-13528	324	26	and	and	CCONJ
fuelectenerg-13528	324	27	is	be	AUX
fuelectenerg-13528	324	28	currently	currently	ADV
fuelectenerg-13528	324	29	one	one	NUM
fuelectenerg-13528	324	30	of	of	ADP
fuelectenerg-13528	324	31	the	the	DET
fuelectenerg-13528	324	32	main	main	ADJ
fuelectenerg-13528	324	33	causes	cause	NOUN
fuelectenerg-13528	324	34	of	of	ADP
fuelectenerg-13528	324	35	death	death	NOUN
fuelectenerg-13528	324	36	globally	globally	ADV
fuelectenerg-13528	324	37	.	.	PUNCT
fuelectenerg-13528	325	1	if	if	SCONJ
fuelectenerg-13528	325	2	appropriate	appropriate	ADJ
fuelectenerg-13528	325	3	treatment	treatment	NOUN
fuelectenerg-13528	325	4	measures	measure	NOUN
fuelectenerg-13528	325	5	are	be	AUX
fuelectenerg-13528	325	6	implemented	implement	VERB
fuelectenerg-13528	325	7	in	in	ADP
fuelectenerg-13528	325	8	the	the	DET
fuelectenerg-13528	325	9	early	early	ADJ
fuelectenerg-13528	325	10	phases	phase	NOUN
fuelectenerg-13528	325	11	of	of	ADP
fuelectenerg-13528	325	12	the	the	DET
fuelectenerg-13528	325	13	disease	disease	NOUN
fuelectenerg-13528	325	14	,	,	PUNCT
fuelectenerg-13528	325	15	the	the	DET
fuelectenerg-13528	325	16	damage	damage	NOUN
fuelectenerg-13528	325	17	it	it	PRON
fuelectenerg-13528	325	18	causes	cause	VERB
fuelectenerg-13528	325	19	can	can	AUX
fuelectenerg-13528	325	20	be	be	AUX
fuelectenerg-13528	325	21	greatly	greatly	ADV
fuelectenerg-13528	325	22	decreased	decrease	VERB
fuelectenerg-13528	325	23	.	.	PUNCT
fuelectenerg-13528	326	1	the	the	DET
fuelectenerg-13528	326	2	study	study	NOUN
fuelectenerg-13528	326	3	of	of	ADP
fuelectenerg-13528	326	4	metaheuristic	metaheuristic	ADJ
fuelectenerg-13528	326	5	algorithms	algorithm	NOUN
fuelectenerg-13528	326	6	presents	present	VERB
fuelectenerg-13528	326	7	a	a	DET
fuelectenerg-13528	326	8	fantastic	fantastic	ADJ
fuelectenerg-13528	326	9	chance	chance	NOUN
fuelectenerg-13528	326	10	for	for	SCONJ
fuelectenerg-13528	326	11	models	model	NOUN
fuelectenerg-13528	326	12	to	to	PART
fuelectenerg-13528	326	13	identify	identify	VERB
fuelectenerg-13528	326	14	illnesses	illness	NOUN
fuelectenerg-13528	326	15	,	,	PUNCT
fuelectenerg-13528	326	16	benefiting	benefit	VERB
fuelectenerg-13528	326	17	patients	patient	NOUN
fuelectenerg-13528	326	18	.	.	PUNCT
fuelectenerg-13528	327	1	in	in	ADP
fuelectenerg-13528	327	2	our	our	PRON
fuelectenerg-13528	327	3	work	work	NOUN
fuelectenerg-13528	327	4	,	,	PUNCT
fuelectenerg-13528	327	5	several	several	ADJ
fuelectenerg-13528	327	6	meta	meta	ADJ
fuelectenerg-13528	327	7	-	-	PUNCT
fuelectenerg-13528	327	8	heuristic	heuristic	ADJ
fuelectenerg-13528	327	9	techniques	technique	NOUN
fuelectenerg-13528	327	10	are	be	AUX
fuelectenerg-13528	327	11	employed	employ	VERB
fuelectenerg-13528	327	12	to	to	PART
fuelectenerg-13528	327	13	find	find	VERB
fuelectenerg-13528	327	14	out	out	ADP
fuelectenerg-13528	327	15	and	and	CCONJ
fuelectenerg-13528	327	16	categorize	categorize	VERB
fuelectenerg-13528	327	17	a	a	DET
fuelectenerg-13528	327	18	range	range	NOUN
fuelectenerg-13528	327	19	of	of	ADP
fuelectenerg-13528	327	20	health	health	NOUN
fuelectenerg-13528	327	21	-	-	PUNCT
fuelectenerg-13528	327	22	related	relate	VERB
fuelectenerg-13528	327	23	conditions	condition	NOUN
fuelectenerg-13528	327	24	according	accord	VERB
fuelectenerg-13528	327	25	to	to	ADP
fuelectenerg-13528	327	26	their	their	PRON
fuelectenerg-13528	327	27	optimal	optimal	ADJ
fuelectenerg-13528	327	28	outcomes	outcome	NOUN
fuelectenerg-13528	327	29	,	,	PUNCT
fuelectenerg-13528	327	30	for	for	ADP
fuelectenerg-13528	327	31	feature	feature	NOUN
fuelectenerg-13528	327	32	selection	selection	NOUN
fuelectenerg-13528	327	33	.	.	PUNCT
fuelectenerg-13528	328	1	meta	meta	ADJ
fuelectenerg-13528	328	2	-	-	PUNCT
fuelectenerg-13528	328	3	heuristic	heuristic	ADJ
fuelectenerg-13528	328	4	algorithms	algorithm	NOUN
fuelectenerg-13528	328	5	are	be	AUX
fuelectenerg-13528	328	6	computationally	computationally	ADV
fuelectenerg-13528	328	7	efficient	efficient	ADJ
fuelectenerg-13528	328	8	compared	compare	VERB
fuelectenerg-13528	328	9	to	to	ADP
fuelectenerg-13528	328	10	other	other	ADJ
fuelectenerg-13528	328	11	approaches	approach	NOUN
fuelectenerg-13528	328	12	,	,	PUNCT
fuelectenerg-13528	328	13	making	make	VERB
fuelectenerg-13528	328	14	them	they	PRON
fuelectenerg-13528	328	15	suitable	suitable	ADJ
fuelectenerg-13528	328	16	for	for	ADP
fuelectenerg-13528	328	17	critical	critical	ADJ
fuelectenerg-13528	328	18	medical	medical	ADJ
fuelectenerg-13528	328	19	applications	application	NOUN
fuelectenerg-13528	328	20	.	.	PUNCT
fuelectenerg-13528	329	1	these	these	DET
fuelectenerg-13528	329	2	methods	method	NOUN
fuelectenerg-13528	329	3	generally	generally	ADV
fuelectenerg-13528	329	4	offer	offer	VERB
fuelectenerg-13528	329	5	approximations	approximation	NOUN
fuelectenerg-13528	329	6	,	,	PUNCT
fuelectenerg-13528	329	7	direct	direct	VERB
fuelectenerg-13528	329	8	the	the	DET
fuelectenerg-13528	329	9	searching	searching	NOUN
fuelectenerg-13528	329	10	method	method	NOUN
fuelectenerg-13528	329	11	,	,	PUNCT
fuelectenerg-13528	329	12	explore	explore	VERB
fuelectenerg-13528	329	13	the	the	DET
fuelectenerg-13528	329	14	searching	search	VERB
fuelectenerg-13528	329	15	area	area	NOUN
fuelectenerg-13528	329	16	effectively	effectively	ADV
fuelectenerg-13528	329	17	to	to	PART
fuelectenerg-13528	329	18	identify	identify	VERB
fuelectenerg-13528	329	19	optimal	optimal	ADJ
fuelectenerg-13528	329	20	solutions	solution	NOUN
fuelectenerg-13528	329	21	,	,	PUNCT
fuelectenerg-13528	329	22	and	and	CCONJ
fuelectenerg-13528	329	23	are	be	AUX
fuelectenerg-13528	329	24	versatile	versatile	ADJ
fuelectenerg-13528	329	25	across	across	ADP
fuelectenerg-13528	329	26	different	different	ADJ
fuelectenerg-13528	329	27	problem	problem	NOUN
fuelectenerg-13528	329	28	domains	domain	NOUN
fuelectenerg-13528	329	29	.	.	PUNCT
fuelectenerg-13528	330	1	here	here	ADV
fuelectenerg-13528	330	2	,	,	PUNCT
fuelectenerg-13528	330	3	two	two	NUM
fuelectenerg-13528	330	4	different	different	ADJ
fuelectenerg-13528	330	5	datasets	dataset	NOUN
fuelectenerg-13528	330	6	are	be	AUX
fuelectenerg-13528	330	7	used	use	VERB
fuelectenerg-13528	330	8	,	,	PUNCT
fuelectenerg-13528	330	9	cvd	cvd	PROPN
fuelectenerg-13528	330	10	and	and	CCONJ
fuelectenerg-13528	330	11	framingham	framingham	PROPN
fuelectenerg-13528	330	12	,	,	PUNCT
fuelectenerg-13528	330	13	and	and	CCONJ
fuelectenerg-13528	330	14	by	by	ADP
fuelectenerg-13528	330	15	using	use	VERB
fuelectenerg-13528	330	16	various	various	ADJ
fuelectenerg-13528	330	17	meta	meta	ADJ
fuelectenerg-13528	330	18	-	-	PUNCT
fuelectenerg-13528	330	19	heuristic	heuristic	ADJ
fuelectenerg-13528	330	20	algorithms	algorithm	NOUN
fuelectenerg-13528	330	21	for	for	ADP
fuelectenerg-13528	330	22	feature	feature	NOUN
fuelectenerg-13528	330	23	selection	selection	NOUN
fuelectenerg-13528	330	24	various	various	ADJ
fuelectenerg-13528	330	25	classifiers	classifier	NOUN
fuelectenerg-13528	330	26	are	be	AUX
fuelectenerg-13528	330	27	implemented	implement	VERB
fuelectenerg-13528	330	28	to	to	PART
fuelectenerg-13528	330	29	determine	determine	VERB
fuelectenerg-13528	330	30	the	the	DET
fuelectenerg-13528	330	31	model	model	NOUN
fuelectenerg-13528	330	32	’s	’s	PART
fuelectenerg-13528	330	33	optimal	optimal	ADJ
fuelectenerg-13528	330	34	performance	performance	NOUN
fuelectenerg-13528	330	35	.	.	PUNCT
fuelectenerg-13528	331	1	among	among	ADP
fuelectenerg-13528	331	2	all	all	DET
fuelectenerg-13528	331	3	the	the	DET
fuelectenerg-13528	331	4	classifiers	classifier	NOUN
fuelectenerg-13528	331	5	random	random	ADJ
fuelectenerg-13528	331	6	forest	forest	NOUN
fuelectenerg-13528	331	7	gives	give	VERB
fuelectenerg-13528	331	8	the	the	DET
fuelectenerg-13528	331	9	highest	high	ADJ
fuelectenerg-13528	331	10	accuracy	accuracy	NOUN
fuelectenerg-13528	331	11	of	of	ADP
fuelectenerg-13528	331	12	94.12	94.12	NUM
fuelectenerg-13528	331	13	%	%	NOUN
fuelectenerg-13528	331	14	for	for	ADP
fuelectenerg-13528	331	15	cvd	cvd	PROPN
fuelectenerg-13528	331	16	for	for	ADP
fuelectenerg-13528	331	17	pso	pso	NOUN
fuelectenerg-13528	331	18	,	,	PUNCT
fuelectenerg-13528	331	19	98.47	98.47	NUM
fuelectenerg-13528	331	20	%	%	NOUN
fuelectenerg-13528	331	21	for	for	ADP
fuelectenerg-13528	331	22	framingham	framingham	PROPN
fuelectenerg-13528	331	23	dataset	dataset	PROPN
fuelectenerg-13528	331	24	for	for	ADP
fuelectenerg-13528	331	25	csa	csa	PROPN
fuelectenerg-13528	331	26	and	and	CCONJ
fuelectenerg-13528	331	27	outperforms	outperform	VERB
fuelectenerg-13528	331	28	other	other	ADJ
fuelectenerg-13528	331	29	ml	ml	NOUN
fuelectenerg-13528	331	30	classifiers	classifier	NOUN
fuelectenerg-13528	331	31	for	for	ADP
fuelectenerg-13528	331	32	both	both	CCONJ
fuelectenerg-13528	331	33	the	the	DET
fuelectenerg-13528	331	34	datasets	dataset	NOUN
fuelectenerg-13528	331	35	.	.	PUNCT
fuelectenerg-13528	332	1	we	we	PRON
fuelectenerg-13528	332	2	have	have	AUX
fuelectenerg-13528	332	3	also	also	ADV
fuelectenerg-13528	332	4	applied	apply	VERB
fuelectenerg-13528	332	5	fuzzy	fuzzy	ADJ
fuelectenerg-13528	332	6	logic	logic	NOUN
fuelectenerg-13528	332	7	rules	rule	NOUN
fuelectenerg-13528	332	8	on	on	ADP
fuelectenerg-13528	332	9	our	our	PRON
fuelectenerg-13528	332	10	best	good	ADJ
fuelectenerg-13528	332	11	performing	performing	NOUN
fuelectenerg-13528	332	12	model	model	NOUN
fuelectenerg-13528	332	13	for	for	ADP
fuelectenerg-13528	332	14	better	well	ADJ
fuelectenerg-13528	332	15	prediction	prediction	NOUN
fuelectenerg-13528	332	16	of	of	ADP
fuelectenerg-13528	332	17	cvd	cvd	PROPN
fuelectenerg-13528	332	18	.	.	PUNCT
fuelectenerg-13528	333	1	for	for	ADP
fuelectenerg-13528	333	2	our	our	PRON
fuelectenerg-13528	333	3	future	future	ADJ
fuelectenerg-13528	333	4	work	work	NOUN
fuelectenerg-13528	333	5	,	,	PUNCT
fuelectenerg-13528	333	6	we	we	PRON
fuelectenerg-13528	333	7	would	would	AUX
fuelectenerg-13528	333	8	like	like	VERB
fuelectenerg-13528	333	9	to	to	PART
fuelectenerg-13528	333	10	implement	implement	VERB
fuelectenerg-13528	333	11	deep	deep	ADJ
fuelectenerg-13528	333	12	learning	learning	NOUN
fuelectenerg-13528	333	13	classifiers	classifier	NOUN
fuelectenerg-13528	333	14	for	for	ADP
fuelectenerg-13528	333	15	performance	performance	NOUN
fuelectenerg-13528	333	16	evaluation	evaluation	NOUN
fuelectenerg-13528	333	17	of	of	ADP
fuelectenerg-13528	333	18	cvd	cvd	PROPN
fuelectenerg-13528	333	19	prediction	prediction	NOUN
fuelectenerg-13528	333	20	.	.	PUNCT
fuelectenerg-13528	334	1	we	we	PRON
fuelectenerg-13528	334	2	would	would	AUX
fuelectenerg-13528	334	3	also	also	ADV
fuelectenerg-13528	334	4	like	like	VERB
fuelectenerg-13528	334	5	to	to	PART
fuelectenerg-13528	334	6	use	use	VERB
fuelectenerg-13528	334	7	an	an	DET
fuelectenerg-13528	334	8	ensemble	ensemble	ADJ
fuelectenerg-13528	334	9	model	model	NOUN
fuelectenerg-13528	334	10	for	for	ADP
fuelectenerg-13528	334	11	feature	feature	NOUN
fuelectenerg-13528	334	12	selection	selection	NOUN
fuelectenerg-13528	334	13	and	and	CCONJ
fuelectenerg-13528	334	14	compare	compare	VERB
fuelectenerg-13528	334	15	it	it	PRON
fuelectenerg-13528	334	16	with	with	ADP
fuelectenerg-13528	334	17	our	our	PRON
fuelectenerg-13528	334	18	results	result	NOUN
fuelectenerg-13528	334	19	.	.	PUNCT
fuelectenerg-13528	335	1	the	the	DET
fuelectenerg-13528	335	2	limitations	limitation	NOUN
fuelectenerg-13528	335	3	of	of	ADP
fuelectenerg-13528	335	4	the	the	DET
fuelectenerg-13528	335	5	paper	paper	NOUN
fuelectenerg-13528	335	6	are	be	AUX
fuelectenerg-13528	335	7	no	no	DET
fuelectenerg-13528	335	8	deep	deep	ADJ
fuelectenerg-13528	335	9	learning	learning	NOUN
fuelectenerg-13528	335	10	models	model	NOUN
fuelectenerg-13528	335	11	are	be	AUX
fuelectenerg-13528	335	12	used	use	VERB
fuelectenerg-13528	335	13	,	,	PUNCT
fuelectenerg-13528	335	14	lack	lack	NOUN
fuelectenerg-13528	335	15	of	of	ADP
fuelectenerg-13528	335	16	real	real	ADJ
fuelectenerg-13528	335	17	time	time	NOUN
fuelectenerg-13528	335	18	dataset	dataset	NOUN
fuelectenerg-13528	335	19	,	,	PUNCT
fuelectenerg-13528	335	20	fixed	fix	VERB
fuelectenerg-13528	335	21	fuzzy	fuzzy	ADJ
fuelectenerg-13528	335	22	rule	rule	NOUN
fuelectenerg-13528	335	23	set	set	VERB
fuelectenerg-13528	335	24	and	and	CCONJ
fuelectenerg-13528	335	25	computational	computational	ADJ
fuelectenerg-13528	335	26	cost	cost	NOUN
fuelectenerg-13528	335	27	of	of	ADP
fuelectenerg-13528	335	28	meta	meta	ADJ
fuelectenerg-13528	335	29	heuristic	heuristic	ADJ
fuelectenerg-13528	335	30	approaches	approach	NOUN
fuelectenerg-13528	335	31	.	.	PUNCT
fuelectenerg-13528	336	1	76	76	NUM
fuelectenerg-13528	336	2	g.	g.	PROPN
fuelectenerg-13528	336	3	gayatri	gayatri	PROPN
fuelectenerg-13528	336	4	lenka	lenka	PROPN
fuelectenerg-13528	336	5	,	,	PUNCT
fuelectenerg-13528	336	6	p.	p.	PROPN
fuelectenerg-13528	336	7	mishra	mishra	PROPN
fuelectenerg-13528	336	8	,	,	PUNCT
fuelectenerg-13528	336	9	j.	j.	PROPN
fuelectenerg-13528	336	10	routray	routray	PROPN
fuelectenerg-13528	336	11	,	,	PUNCT
fuelectenerg-13528	336	12	m.	m.	NOUN
fuelectenerg-13528	336	13	kandpal	kandpal	PROPN
fuelectenerg-13528	336	14	,	,	PUNCT
fuelectenerg-13528	336	15	r.	r.	PROPN
fuelectenerg-13528	336	16	kumar	kumar	PROPN
fuelectenerg-13528	336	17	dash	dash	PROPN
fuelectenerg-13528	336	18	,	,	PUNCT
fuelectenerg-13528	336	19	d.	d.	PROPN
fuelectenerg-13528	336	20	mishra	mishra	PROPN
fuelectenerg-13528	336	21	references	reference	VERB
fuelectenerg-13528	336	22	[	[	X
fuelectenerg-13528	336	23	1	1	NUM
fuelectenerg-13528	336	24	]	]	X
fuelectenerg-13528	336	25	h.	h.	PROPN
fuelectenerg-13528	337	1	v.	v.	PROPN
fuelectenerg-13528	337	2	bhagat	bhagat	PROPN
fuelectenerg-13528	337	3	and	and	CCONJ
fuelectenerg-13528	337	4	m.	m.	PROPN
fuelectenerg-13528	337	5	singh	singh	PROPN
fuelectenerg-13528	337	6	,	,	PUNCT
fuelectenerg-13528	337	7	"	"	PUNCT
fuelectenerg-13528	337	8	a	a	DET
fuelectenerg-13528	337	9	machine	machine	NOUN
fuelectenerg-13528	337	10	learning	learn	VERB
fuelectenerg-13528	337	11	model	model	NOUN
fuelectenerg-13528	337	12	for	for	ADP
fuelectenerg-13528	337	13	the	the	DET
fuelectenerg-13528	337	14	early	early	ADJ
fuelectenerg-13528	337	15	prediction	prediction	NOUN
fuelectenerg-13528	337	16	of	of	ADP
fuelectenerg-13528	337	17	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	337	18	disease	disease	NOUN
fuelectenerg-13528	337	19	in	in	ADP
fuelectenerg-13528	337	20	patients	patient	NOUN
fuelectenerg-13528	337	21	"	"	PUNCT
fuelectenerg-13528	337	22	,	,	PUNCT
fuelectenerg-13528	337	23	in	in	ADP
fuelectenerg-13528	337	24	proceedings	proceeding	NOUN
fuelectenerg-13528	337	25	of	of	ADP
fuelectenerg-13528	337	26	the	the	DET
fuelectenerg-13528	337	27	2023	2023	NUM
fuelectenerg-13528	337	28	second	second	ADJ
fuelectenerg-13528	337	29	international	international	ADJ
fuelectenerg-13528	337	30	conference	conference	NOUN
fuelectenerg-13528	337	31	on	on	ADP
fuelectenerg-13528	337	32	advances	advance	NOUN
fuelectenerg-13528	337	33	in	in	ADP
fuelectenerg-13528	337	34	computational	computational	ADJ
fuelectenerg-13528	337	35	intelligence	intelligence	NOUN
fuelectenerg-13528	337	36	and	and	CCONJ
fuelectenerg-13528	337	37	communication	communication	NOUN
fuelectenerg-13528	337	38	(	(	PUNCT
fuelectenerg-13528	337	39	icacic	icacic	PROPN
fuelectenerg-13528	337	40	)	)	PUNCT
fuelectenerg-13528	337	41	,	,	PUNCT
fuelectenerg-13528	337	42	2023	2023	NUM
fuelectenerg-13528	337	43	,	,	PUNCT
fuelectenerg-13528	337	44	pp	pp	ADJ
fuelectenerg-13528	337	45	.	.	PUNCT
fuelectenerg-13528	338	1	1–5	1–5	X
fuelectenerg-13528	338	2	.	.	PUNCT
fuelectenerg-13528	339	1	[	[	X
fuelectenerg-13528	339	2	2	2	NUM
fuelectenerg-13528	339	3	]	]	X
fuelectenerg-13528	339	4	g.	g.	PROPN
fuelectenerg-13528	339	5	s.	s.	PROPN
fuelectenerg-13528	339	6	raksha	raksha	PROPN
fuelectenerg-13528	339	7	,	,	PUNCT
fuelectenerg-13528	339	8	r.	r.	PROPN
fuelectenerg-13528	339	9	hegde	hegde	PROPN
fuelectenerg-13528	339	10	,	,	PUNCT
fuelectenerg-13528	339	11	m.	m.	NOUN
fuelectenerg-13528	339	12	n.	n.	PROPN
fuelectenerg-13528	339	13	shivani	shivani	PROPN
fuelectenerg-13528	339	14	,	,	PUNCT
fuelectenerg-13528	339	15	p.	p.	PROPN
fuelectenerg-13528	339	16	s.	s.	PROPN
fuelectenerg-13528	339	17	shrinidhi	shrinidhi	PROPN
fuelectenerg-13528	339	18	,	,	PUNCT
fuelectenerg-13528	339	19	m.	m.	NOUN
fuelectenerg-13528	339	20	t.	t.	PROPN
fuelectenerg-13528	339	21	monnappa	monnappa	PROPN
fuelectenerg-13528	339	22	and	and	CCONJ
fuelectenerg-13528	339	23	s.	s.	PROPN
fuelectenerg-13528	339	24	m.	m.	PROPN
fuelectenerg-13528	339	25	soumyasri	soumyasri	PROPN
fuelectenerg-13528	339	26	,	,	PUNCT
fuelectenerg-13528	339	27	"	"	PUNCT
fuelectenerg-13528	339	28	a	a	DET
fuelectenerg-13528	339	29	novel	novel	ADJ
fuelectenerg-13528	339	30	technique	technique	NOUN
fuelectenerg-13528	339	31	for	for	ADP
fuelectenerg-13528	339	32	prediction	prediction	NOUN
fuelectenerg-13528	339	33	of	of	ADP
fuelectenerg-13528	339	34	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	339	35	disease	disease	NOUN
fuelectenerg-13528	339	36	"	"	PUNCT
fuelectenerg-13528	339	37	,	,	PUNCT
fuelectenerg-13528	339	38	in	in	ADP
fuelectenerg-13528	339	39	proceedings	proceeding	NOUN
fuelectenerg-13528	339	40	of	of	ADP
fuelectenerg-13528	339	41	the	the	DET
fuelectenerg-13528	339	42	2022	2022	NUM
fuelectenerg-13528	339	43	ieee	ieee	NOUN
fuelectenerg-13528	339	44	international	international	ADJ
fuelectenerg-13528	339	45	conference	conference	NOUN
fuelectenerg-13528	339	46	on	on	ADP
fuelectenerg-13528	339	47	data	datum	NOUN
fuelectenerg-13528	339	48	science	science	NOUN
fuelectenerg-13528	339	49	and	and	CCONJ
fuelectenerg-13528	339	50	information	information	NOUN
fuelectenerg-13528	339	51	system	system	NOUN
fuelectenerg-13528	339	52	(	(	PUNCT
fuelectenerg-13528	339	53	icdsis	icdsis	NOUN
fuelectenerg-13528	339	54	)	)	PUNCT
fuelectenerg-13528	339	55	,	,	PUNCT
fuelectenerg-13528	339	56	2022	2022	NUM
fuelectenerg-13528	339	57	,	,	PUNCT
fuelectenerg-13528	339	58	pp	pp	ADJ
fuelectenerg-13528	339	59	.	.	PUNCT
fuelectenerg-13528	340	1	1–5	1–5	X
fuelectenerg-13528	340	2	.	.	PUNCT
fuelectenerg-13528	341	1	[	[	X
fuelectenerg-13528	341	2	3	3	NUM
fuelectenerg-13528	341	3	]	]	X
fuelectenerg-13528	341	4	a.	a.	NOUN
fuelectenerg-13528	341	5	tiwari	tiwari	PROPN
fuelectenerg-13528	341	6	,	,	PUNCT
fuelectenerg-13528	341	7	a.	a.	NOUN
fuelectenerg-13528	341	8	chugh	chugh	NOUN
fuelectenerg-13528	341	9	and	and	CCONJ
fuelectenerg-13528	341	10	a.	a.	NOUN
fuelectenerg-13528	341	11	sharma	sharma	PROPN
fuelectenerg-13528	341	12	,	,	PUNCT
fuelectenerg-13528	341	13	"	"	PUNCT
fuelectenerg-13528	341	14	a	a	DET
fuelectenerg-13528	341	15	ensemble	ensemble	ADJ
fuelectenerg-13528	341	16	framework	framework	NOUN
fuelectenerg-13528	341	17	for	for	ADP
fuelectenerg-13528	341	18	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	341	19	disease	disease	NOUN
fuelectenerg-13528	341	20	prediction	prediction	NOUN
fuelectenerg-13528	341	21	"	"	PUNCT
fuelectenerg-13528	341	22	,	,	PUNCT
fuelectenerg-13528	341	23	comput	comput	NOUN
fuelectenerg-13528	341	24	.	.	PUNCT
fuelectenerg-13528	342	1	biol	biol	PROPN
fuelectenerg-13528	342	2	.	.	PUNCT
fuelectenerg-13528	343	1	med	med	PROPN
fuelectenerg-13528	343	2	.	.	PROPN
fuelectenerg-13528	343	3	,	,	PUNCT
fuelectenerg-13528	343	4	vol	vol	NOUN
fuelectenerg-13528	343	5	.	.	PROPN
fuelectenerg-13528	344	1	146	146	NUM
fuelectenerg-13528	344	2	,	,	PUNCT
fuelectenerg-13528	344	3	p.	p.	NOUN
fuelectenerg-13528	344	4	105624	105624	NUM
fuelectenerg-13528	344	5	,	,	PUNCT
fuelectenerg-13528	344	6	2022	2022	NUM
fuelectenerg-13528	344	7	.	.	PUNCT
fuelectenerg-13528	345	1	[	[	X
fuelectenerg-13528	345	2	4	4	X
fuelectenerg-13528	345	3	]	]	PUNCT
fuelectenerg-13528	345	4	s.	s.	PROPN
fuelectenerg-13528	345	5	ghosh	ghosh	PROPN
fuelectenerg-13528	345	6	and	and	CCONJ
fuelectenerg-13528	345	7	m.	m.	PROPN
fuelectenerg-13528	345	8	a.	a.	PROPN
fuelectenerg-13528	345	9	islam	islam	PROPN
fuelectenerg-13528	345	10	,	,	PUNCT
fuelectenerg-13528	345	11	"	"	PUNCT
fuelectenerg-13528	345	12	performance	performance	NOUN
fuelectenerg-13528	345	13	evaluation	evaluation	NOUN
fuelectenerg-13528	345	14	and	and	CCONJ
fuelectenerg-13528	345	15	comparison	comparison	NOUN
fuelectenerg-13528	345	16	of	of	ADP
fuelectenerg-13528	345	17	heart	heart	NOUN
fuelectenerg-13528	345	18	disease	disease	NOUN
fuelectenerg-13528	345	19	prediction	prediction	NOUN
fuelectenerg-13528	345	20	using	use	VERB
fuelectenerg-13528	345	21	machine	machine	NOUN
fuelectenerg-13528	345	22	learning	learning	NOUN
fuelectenerg-13528	345	23	methods	method	NOUN
fuelectenerg-13528	345	24	with	with	ADP
fuelectenerg-13528	345	25	elastic	elastic	ADJ
fuelectenerg-13528	345	26	net	net	ADJ
fuelectenerg-13528	345	27	feature	feature	NOUN
fuelectenerg-13528	345	28	selection	selection	NOUN
fuelectenerg-13528	345	29	"	"	PUNCT
fuelectenerg-13528	345	30	,	,	PUNCT
fuelectenerg-13528	345	31	am	be	AUX
fuelectenerg-13528	345	32	.	.	PUNCT
fuelectenerg-13528	346	1	j.	j.	PROPN
fuelectenerg-13528	346	2	appl	appl	PROPN
fuelectenerg-13528	346	3	.	.	PROPN
fuelectenerg-13528	346	4	math	math	PROPN
fuelectenerg-13528	346	5	.	.	PUNCT
fuelectenerg-13528	347	1	stat	stat	PROPN
fuelectenerg-13528	347	2	.	.	PUNCT
fuelectenerg-13528	347	3	,	,	PUNCT
fuelectenerg-13528	347	4	vol	vol	NOUN
fuelectenerg-13528	347	5	.	.	PROPN
fuelectenerg-13528	348	1	11	11	NUM
fuelectenerg-13528	348	2	,	,	PUNCT
fuelectenerg-13528	348	3	no	no	INTJ
fuelectenerg-13528	348	4	.	.	NOUN
fuelectenerg-13528	348	5	2	2	NUM
fuelectenerg-13528	348	6	,	,	PUNCT
fuelectenerg-13528	348	7	pp	pp	ADJ
fuelectenerg-13528	348	8	.	.	PUNCT
fuelectenerg-13528	349	1	35	35	NUM
fuelectenerg-13528	349	2	–	–	SYM
fuelectenerg-13528	349	3	49	49	NUM
fuelectenerg-13528	349	4	,	,	PUNCT
fuelectenerg-13528	349	5	2023	2023	NUM
fuelectenerg-13528	349	6	.	.	PUNCT
fuelectenerg-13528	350	1	[	[	X
fuelectenerg-13528	350	2	5	5	NUM
fuelectenerg-13528	350	3	]	]	PUNCT
fuelectenerg-13528	350	4	a.	a.	NOUN
fuelectenerg-13528	350	5	khan	khan	PROPN
fuelectenerg-13528	350	6	,	,	PUNCT
fuelectenerg-13528	350	7	m.	m.	PROPN
fuelectenerg-13528	350	8	qureshi	qureshi	PROPN
fuelectenerg-13528	350	9	,	,	PUNCT
fuelectenerg-13528	350	10	m.	m.	NOUN
fuelectenerg-13528	350	11	daniyal	daniyal	PROPN
fuelectenerg-13528	350	12	and	and	CCONJ
fuelectenerg-13528	350	13	k.	k.	PROPN
fuelectenerg-13528	350	14	tawiah	tawiah	PROPN
fuelectenerg-13528	350	15	,	,	PUNCT
fuelectenerg-13528	350	16	"	"	PUNCT
fuelectenerg-13528	350	17	a	a	DET
fuelectenerg-13528	350	18	novel	novel	ADJ
fuelectenerg-13528	350	19	study	study	NOUN
fuelectenerg-13528	350	20	on	on	ADP
fuelectenerg-13528	350	21	machine	machine	NOUN
fuelectenerg-13528	350	22	learning	learn	VERB
fuelectenerg-13528	350	23	algorithm	algorithm	NOUN
fuelectenerg-13528	350	24	-	-	PUNCT
fuelectenerg-13528	350	25	based	base	VERB
fuelectenerg-13528	350	26	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	350	27	disease	disease	NOUN
fuelectenerg-13528	350	28	prediction	prediction	NOUN
fuelectenerg-13528	350	29	"	"	PUNCT
fuelectenerg-13528	350	30	,	,	PUNCT
fuelectenerg-13528	350	31	health	health	NOUN
fuelectenerg-13528	350	32	soc	soc	NOUN
fuelectenerg-13528	350	33	.	.	PUNCT
fuelectenerg-13528	351	1	care	care	NOUN
fuelectenerg-13528	351	2	community	community	NOUN
fuelectenerg-13528	351	3	,	,	PUNCT
fuelectenerg-13528	351	4	vol	vol	NOUN
fuelectenerg-13528	351	5	.	.	PUNCT
fuelectenerg-13528	351	6	2023	2023	NUM
fuelectenerg-13528	351	7	,	,	PUNCT
fuelectenerg-13528	351	8	p.	p.	NOUN
fuelectenerg-13528	351	9	1406060	1406060	NUM
fuelectenerg-13528	351	10	,	,	PUNCT
fuelectenerg-13528	351	11	2023	2023	NUM
fuelectenerg-13528	351	12	.	.	PUNCT
fuelectenerg-13528	352	1	[	[	X
fuelectenerg-13528	352	2	6	6	NUM
fuelectenerg-13528	352	3	]	]	X
fuelectenerg-13528	352	4	n.	n.	NOUN
fuelectenerg-13528	352	5	m.	m.	NOUN
fuelectenerg-13528	352	6	lutimath	lutimath	PROPN
fuelectenerg-13528	352	7	,	,	PUNCT
fuelectenerg-13528	352	8	h.	h.	PROPN
fuelectenerg-13528	352	9	v.	v.	PROPN
fuelectenerg-13528	352	10	ramachandra	ramachandra	PROPN
fuelectenerg-13528	352	11	,	,	PUNCT
fuelectenerg-13528	352	12	s.	s.	PROPN
fuelectenerg-13528	352	13	raghav	raghav	PROPN
fuelectenerg-13528	352	14	and	and	CCONJ
fuelectenerg-13528	352	15	n.	n.	PROPN
fuelectenerg-13528	352	16	sharma	sharma	PROPN
fuelectenerg-13528	352	17	,	,	PUNCT
fuelectenerg-13528	352	18	"	"	PUNCT
fuelectenerg-13528	352	19	prediction	prediction	NOUN
fuelectenerg-13528	352	20	of	of	ADP
fuelectenerg-13528	352	21	heart	heart	NOUN
fuelectenerg-13528	352	22	disease	disease	NOUN
fuelectenerg-13528	352	23	using	use	VERB
fuelectenerg-13528	352	24	genetic	genetic	ADJ
fuelectenerg-13528	352	25	algorithm	algorithm	NOUN
fuelectenerg-13528	352	26	"	"	PUNCT
fuelectenerg-13528	352	27	,	,	PUNCT
fuelectenerg-13528	352	28	in	in	ADP
fuelectenerg-13528	352	29	proceeding	proceeding	NOUN
fuelectenerg-13528	352	30	of	of	ADP
fuelectenerg-13528	352	31	the	the	DET
fuelectenerg-13528	352	32	2nd	2nd	ADJ
fuelectenerg-13528	352	33	doctoral	doctoral	ADJ
fuelectenerg-13528	352	34	symp	symp	NOUN
fuelectenerg-13528	352	35	.	.	PUNCT
fuelectenerg-13528	353	1	comput	comput	NOUN
fuelectenerg-13528	353	2	.	.	PUNCT
fuelectenerg-13528	354	1	intell	intell	PROPN
fuelectenerg-13528	354	2	.	.	PUNCT
fuelectenerg-13528	355	1	(	(	PUNCT
fuelectenerg-13528	355	2	dosci	dosci	PROPN
fuelectenerg-13528	355	3	)	)	PUNCT
fuelectenerg-13528	355	4	,	,	PUNCT
fuelectenerg-13528	355	5	springer	springer	NOUN
fuelectenerg-13528	355	6	singapore	singapore	PROPN
fuelectenerg-13528	355	7	,	,	PUNCT
fuelectenerg-13528	355	8	2022	2022	NUM
fuelectenerg-13528	355	9	,	,	PUNCT
fuelectenerg-13528	355	10	pp	pp	ADJ
fuelectenerg-13528	355	11	.	.	PUNCT
fuelectenerg-13528	356	1	49–58	49–58	NUM
fuelectenerg-13528	356	2	.	.	PUNCT
fuelectenerg-13528	357	1	[	[	X
fuelectenerg-13528	357	2	7	7	X
fuelectenerg-13528	357	3	]	]	PUNCT
fuelectenerg-13528	357	4	t.	t.	PROPN
fuelectenerg-13528	357	5	k.	k.	PROPN
fuelectenerg-13528	357	6	tanmay	tanmay	PROPN
fuelectenerg-13528	357	7	,	,	PUNCT
fuelectenerg-13528	357	8	"	"	PUNCT
fuelectenerg-13528	357	9	frbf	frbf	VERB
fuelectenerg-13528	357	10	:	:	PUNCT
fuelectenerg-13528	357	11	a	a	DET
fuelectenerg-13528	357	12	fuzzy	fuzzy	ADJ
fuelectenerg-13528	357	13	rule	rule	NOUN
fuelectenerg-13528	357	14	-	-	PUNCT
fuelectenerg-13528	357	15	based	base	VERB
fuelectenerg-13528	357	16	framework	framework	NOUN
fuelectenerg-13528	357	17	for	for	ADP
fuelectenerg-13528	357	18	heart	heart	NOUN
fuelectenerg-13528	357	19	disease	disease	NOUN
fuelectenerg-13528	357	20	diagnosis	diagnosis	NOUN
fuelectenerg-13528	357	21	"	"	PUNCT
fuelectenerg-13528	357	22	,	,	PUNCT
fuelectenerg-13528	357	23	”	"	PUNCT
fuelectenerg-13528	357	24	inteligencia	inteligencia	PROPN
fuelectenerg-13528	357	25	artificial	artificial	ADJ
fuelectenerg-13528	357	26	,	,	PUNCT
fuelectenerg-13528	357	27	vol	vol	NOUN
fuelectenerg-13528	357	28	.	.	PROPN
fuelectenerg-13528	357	29	25	25	NUM
fuelectenerg-13528	357	30	,	,	PUNCT
fuelectenerg-13528	357	31	no	no	INTJ
fuelectenerg-13528	357	32	.	.	NOUN
fuelectenerg-13528	357	33	69	69	NUM
fuelectenerg-13528	357	34	,	,	PUNCT
fuelectenerg-13528	357	35	pp	pp	ADJ
fuelectenerg-13528	357	36	.	.	PUNCT
fuelectenerg-13528	358	1	122–138	122–138	NUM
fuelectenerg-13528	358	2	,	,	PUNCT
fuelectenerg-13528	358	3	2022	2022	NUM
fuelectenerg-13528	358	4	.	.	PUNCT
fuelectenerg-13528	359	1	[	[	X
fuelectenerg-13528	359	2	8	8	NUM
fuelectenerg-13528	359	3	]	]	X
fuelectenerg-13528	359	4	p.	p.	NOUN
fuelectenerg-13528	359	5	nandakumar	nandakumar	PROPN
fuelectenerg-13528	359	6	and	and	CCONJ
fuelectenerg-13528	359	7	s.	s.	PROPN
fuelectenerg-13528	359	8	narayan	narayan	PROPN
fuelectenerg-13528	359	9	,	,	PUNCT
fuelectenerg-13528	359	10	"	"	PUNCT
fuelectenerg-13528	359	11	cardiac	cardiac	ADJ
fuelectenerg-13528	359	12	disease	disease	NOUN
fuelectenerg-13528	359	13	detection	detection	NOUN
fuelectenerg-13528	359	14	using	use	VERB
fuelectenerg-13528	359	15	cuckoo	cuckoo	NOUN
fuelectenerg-13528	359	16	search	search	NOUN
fuelectenerg-13528	359	17	enabled	enable	VERB
fuelectenerg-13528	359	18	deep	deep	ADJ
fuelectenerg-13528	359	19	belief	belief	NOUN
fuelectenerg-13528	359	20	network	network	NOUN
fuelectenerg-13528	359	21	"	"	PUNCT
fuelectenerg-13528	359	22	,	,	PUNCT
fuelectenerg-13528	359	23	intell	intell	PROPN
fuelectenerg-13528	359	24	.	.	PUNCT
fuelectenerg-13528	360	1	syst	syst	PROPN
fuelectenerg-13528	360	2	.	.	PUNCT
fuelectenerg-13528	361	1	appl	appl	PROPN
fuelectenerg-13528	361	2	.	.	PROPN
fuelectenerg-13528	361	3	,	,	PUNCT
fuelectenerg-13528	361	4	vol	vol	NOUN
fuelectenerg-13528	361	5	.	.	PROPN
fuelectenerg-13528	361	6	16	16	NUM
fuelectenerg-13528	361	7	,	,	PUNCT
fuelectenerg-13528	361	8	p.	p.	NOUN
fuelectenerg-13528	361	9	200131	200131	NUM
fuelectenerg-13528	361	10	,	,	PUNCT
fuelectenerg-13528	361	11	2022	2022	NUM
fuelectenerg-13528	361	12	.	.	PUNCT
fuelectenerg-13528	362	1	[	[	X
fuelectenerg-13528	362	2	9	9	NUM
fuelectenerg-13528	362	3	]	]	PUNCT
fuelectenerg-13528	362	4	m.	m.	NOUN
fuelectenerg-13528	362	5	s.	s.	PROPN
fuelectenerg-13528	362	6	pathan	pathan	PROPN
fuelectenerg-13528	362	7	,	,	PUNCT
fuelectenerg-13528	362	8	a.	a.	NOUN
fuelectenerg-13528	362	9	nag	nag	NOUN
fuelectenerg-13528	362	10	,	,	PUNCT
fuelectenerg-13528	362	11	m.	m.	NOUN
fuelectenerg-13528	362	12	m.	m.	NOUN
fuelectenerg-13528	362	13	pathan	pathan	PROPN
fuelectenerg-13528	362	14	and	and	CCONJ
fuelectenerg-13528	362	15	s.	s.	PROPN
fuelectenerg-13528	362	16	dev	dev	PROPN
fuelectenerg-13528	362	17	,	,	PUNCT
fuelectenerg-13528	362	18	"	"	PUNCT
fuelectenerg-13528	362	19	analyzing	analyze	VERB
fuelectenerg-13528	362	20	the	the	DET
fuelectenerg-13528	362	21	impact	impact	NOUN
fuelectenerg-13528	362	22	of	of	ADP
fuelectenerg-13528	362	23	feature	feature	NOUN
fuelectenerg-13528	362	24	selection	selection	NOUN
fuelectenerg-13528	362	25	on	on	ADP
fuelectenerg-13528	362	26	the	the	DET
fuelectenerg-13528	362	27	accuracy	accuracy	NOUN
fuelectenerg-13528	362	28	of	of	ADP
fuelectenerg-13528	362	29	heart	heart	NOUN
fuelectenerg-13528	362	30	disease	disease	NOUN
fuelectenerg-13528	362	31	prediction	prediction	NOUN
fuelectenerg-13528	362	32	"	"	PUNCT
fuelectenerg-13528	362	33	,	,	PUNCT
fuelectenerg-13528	362	34	healthcare	healthcare	PROPN
fuelectenerg-13528	362	35	anal	anal	PROPN
fuelectenerg-13528	362	36	.	.	PUNCT
fuelectenerg-13528	362	37	,	,	PUNCT
fuelectenerg-13528	362	38	vol	vol	NOUN
fuelectenerg-13528	362	39	.	.	PROPN
fuelectenerg-13528	362	40	2	2	NUM
fuelectenerg-13528	362	41	,	,	PUNCT
fuelectenerg-13528	362	42	p.	p.	NOUN
fuelectenerg-13528	362	43	100060	100060	NUM
fuelectenerg-13528	362	44	,	,	PUNCT
fuelectenerg-13528	362	45	2022	2022	NUM
fuelectenerg-13528	362	46	.	.	PUNCT
fuelectenerg-13528	363	1	[	[	X
fuelectenerg-13528	363	2	10	10	NUM
fuelectenerg-13528	363	3	]	]	PUNCT
fuelectenerg-13528	363	4	b.	b.	PROPN
fuelectenerg-13528	363	5	p.	p.	NOUN
fuelectenerg-13528	363	6	doppala	doppala	PROPN
fuelectenerg-13528	363	7	,	,	PUNCT
fuelectenerg-13528	363	8	d.	d.	PROPN
fuelectenerg-13528	363	9	bhattacharyya	bhattacharyya	PROPN
fuelectenerg-13528	363	10	,	,	PUNCT
fuelectenerg-13528	363	11	m.	m.	NOUN
fuelectenerg-13528	363	12	chakkravarthy	chakkravarthy	ADJ
fuelectenerg-13528	363	13	and	and	CCONJ
fuelectenerg-13528	363	14	t.	t.	PROPN
fuelectenerg-13528	363	15	h.	h.	PROPN
fuelectenerg-13528	363	16	kim	kim	PROPN
fuelectenerg-13528	363	17	,	,	PUNCT
fuelectenerg-13528	363	18	"	"	PUNCT
fuelectenerg-13528	363	19	a	a	DET
fuelectenerg-13528	363	20	hybrid	hybrid	ADJ
fuelectenerg-13528	363	21	machine	machine	NOUN
fuelectenerg-13528	363	22	learning	learn	VERB
fuelectenerg-13528	363	23	approach	approach	NOUN
fuelectenerg-13528	363	24	to	to	PART
fuelectenerg-13528	363	25	identify	identify	VERB
fuelectenerg-13528	363	26	coronary	coronary	ADJ
fuelectenerg-13528	363	27	diseases	disease	NOUN
fuelectenerg-13528	363	28	using	use	VERB
fuelectenerg-13528	363	29	feature	feature	NOUN
fuelectenerg-13528	363	30	selection	selection	NOUN
fuelectenerg-13528	363	31	mechanism	mechanism	NOUN
fuelectenerg-13528	363	32	on	on	ADP
fuelectenerg-13528	363	33	heart	heart	NOUN
fuelectenerg-13528	363	34	disease	disease	NOUN
fuelectenerg-13528	363	35	dataset	dataset	NOUN
fuelectenerg-13528	363	36	"	"	PUNCT
fuelectenerg-13528	363	37	,	,	PUNCT
fuelectenerg-13528	363	38	distrib	distrib	NOUN
fuelectenerg-13528	363	39	.	.	PUNCT
fuelectenerg-13528	364	1	parallel	parallel	ADJ
fuelectenerg-13528	364	2	databases	database	NOUN
fuelectenerg-13528	364	3	,	,	PUNCT
fuelectenerg-13528	364	4	vol	vol	NOUN
fuelectenerg-13528	364	5	.	.	PROPN
fuelectenerg-13528	364	6	41	41	NUM
fuelectenerg-13528	364	7	,	,	PUNCT
fuelectenerg-13528	364	8	pp	pp	ADJ
fuelectenerg-13528	364	9	.	.	PUNCT
fuelectenerg-13528	365	1	1–20	1–20	NUM
fuelectenerg-13528	365	2	,	,	PUNCT
fuelectenerg-13528	365	3	2023	2023	NUM
fuelectenerg-13528	365	4	.	.	PUNCT
fuelectenerg-13528	366	1	[	[	X
fuelectenerg-13528	366	2	11	11	NUM
fuelectenerg-13528	366	3	]	]	PUNCT
fuelectenerg-13528	366	4	m.	m.	PROPN
fuelectenerg-13528	366	5	r.	r.	PROPN
fuelectenerg-13528	366	6	ansyari	ansyari	PROPN
fuelectenerg-13528	366	7	,	,	PUNCT
fuelectenerg-13528	366	8	m.	m.	NOUN
fuelectenerg-13528	366	9	i.	i.	PROPN
fuelectenerg-13528	366	10	mazdadi	mazdadi	PROPN
fuelectenerg-13528	366	11	,	,	PUNCT
fuelectenerg-13528	366	12	f.	f.	PROPN
fuelectenerg-13528	366	13	indriani	indriani	PROPN
fuelectenerg-13528	366	14	,	,	PUNCT
fuelectenerg-13528	366	15	d.	d.	PROPN
fuelectenerg-13528	366	16	kartini	kartini	PROPN
fuelectenerg-13528	366	17	and	and	CCONJ
fuelectenerg-13528	366	18	t.	t.	PROPN
fuelectenerg-13528	366	19	h.	h.	PROPN
fuelectenerg-13528	366	20	saragih	saragih	PROPN
fuelectenerg-13528	366	21	,	,	PUNCT
fuelectenerg-13528	366	22	"	"	PUNCT
fuelectenerg-13528	366	23	implementation	implementation	NOUN
fuelectenerg-13528	366	24	of	of	ADP
fuelectenerg-13528	366	25	random	random	ADJ
fuelectenerg-13528	366	26	forest	forest	NOUN
fuelectenerg-13528	366	27	and	and	CCONJ
fuelectenerg-13528	366	28	extreme	extreme	ADJ
fuelectenerg-13528	366	29	gradient	gradient	NOUN
fuelectenerg-13528	366	30	boosting	boost	VERB
fuelectenerg-13528	366	31	in	in	ADP
fuelectenerg-13528	366	32	the	the	DET
fuelectenerg-13528	366	33	classification	classification	NOUN
fuelectenerg-13528	366	34	of	of	ADP
fuelectenerg-13528	366	35	heart	heart	NOUN
fuelectenerg-13528	366	36	disease	disease	NOUN
fuelectenerg-13528	366	37	using	use	VERB
fuelectenerg-13528	366	38	particle	particle	NOUN
fuelectenerg-13528	366	39	swarm	swarm	NOUN
fuelectenerg-13528	366	40	optimization	optimization	NOUN
fuelectenerg-13528	366	41	feature	feature	NOUN
fuelectenerg-13528	366	42	selection	selection	NOUN
fuelectenerg-13528	366	43	"	"	PUNCT
fuelectenerg-13528	366	44	,	,	PUNCT
fuelectenerg-13528	366	45	j.	j.	PROPN
fuelectenerg-13528	366	46	electron	electron	PROPN
fuelectenerg-13528	366	47	.	.	PUNCT
fuelectenerg-13528	366	48	electromed	electromed	PROPN
fuelectenerg-13528	366	49	.	.	PUNCT
fuelectenerg-13528	367	1	eng	eng	PROPN
fuelectenerg-13528	367	2	.	.	PROPN
fuelectenerg-13528	367	3	med	med	PROPN
fuelectenerg-13528	367	4	.	.	PUNCT
fuelectenerg-13528	368	1	inform	inform	NOUN
fuelectenerg-13528	368	2	.	.	PUNCT
fuelectenerg-13528	368	3	,	,	PUNCT
fuelectenerg-13528	368	4	vol	vol	NOUN
fuelectenerg-13528	368	5	.	.	PROPN
fuelectenerg-13528	368	6	5	5	NUM
fuelectenerg-13528	368	7	,	,	PUNCT
fuelectenerg-13528	368	8	no	no	INTJ
fuelectenerg-13528	368	9	.	.	NOUN
fuelectenerg-13528	368	10	4	4	NUM
fuelectenerg-13528	368	11	,	,	PUNCT
fuelectenerg-13528	368	12	pp	pp	ADJ
fuelectenerg-13528	368	13	.	.	PUNCT
fuelectenerg-13528	369	1	250–260	250–260	NUM
fuelectenerg-13528	369	2	,	,	PUNCT
fuelectenerg-13528	369	3	2023	2023	NUM
fuelectenerg-13528	369	4	.	.	PUNCT
fuelectenerg-13528	370	1	[	[	X
fuelectenerg-13528	370	2	12	12	NUM
fuelectenerg-13528	370	3	]	]	X
fuelectenerg-13528	370	4	d.	d.	PROPN
fuelectenerg-13528	370	5	shah	shah	PROPN
fuelectenerg-13528	370	6	,	,	PUNCT
fuelectenerg-13528	370	7	s.	s.	PROPN
fuelectenerg-13528	370	8	patel	patel	PROPN
fuelectenerg-13528	370	9	and	and	CCONJ
fuelectenerg-13528	370	10	s.	s.	PROPN
fuelectenerg-13528	370	11	k.	k.	PROPN
fuelectenerg-13528	370	12	bharti	bharti	PROPN
fuelectenerg-13528	370	13	,	,	PUNCT
fuelectenerg-13528	370	14	"	"	PUNCT
fuelectenerg-13528	370	15	heart	heart	NOUN
fuelectenerg-13528	370	16	disease	disease	NOUN
fuelectenerg-13528	370	17	prediction	prediction	NOUN
fuelectenerg-13528	370	18	using	use	VERB
fuelectenerg-13528	370	19	machine	machine	NOUN
fuelectenerg-13528	370	20	learning	learn	VERB
fuelectenerg-13528	370	21	techniques	technique	NOUN
fuelectenerg-13528	370	22	"	"	PUNCT
fuelectenerg-13528	370	23	,	,	PUNCT
fuelectenerg-13528	370	24	sn	sn	INTJ
fuelectenerg-13528	370	25	comput	comput	NOUN
fuelectenerg-13528	370	26	.	.	PUNCT
fuelectenerg-13528	371	1	sci	sci	PROPN
fuelectenerg-13528	371	2	.	.	PROPN
fuelectenerg-13528	371	3	,	,	PUNCT
fuelectenerg-13528	371	4	vol	vol	NOUN
fuelectenerg-13528	371	5	.	.	PROPN
fuelectenerg-13528	371	6	1	1	NUM
fuelectenerg-13528	371	7	,	,	PUNCT
fuelectenerg-13528	371	8	no	no	INTJ
fuelectenerg-13528	371	9	.	.	NOUN
fuelectenerg-13528	371	10	6	6	NUM
fuelectenerg-13528	371	11	,	,	PUNCT
fuelectenerg-13528	371	12	p.	p.	NOUN
fuelectenerg-13528	371	13	345	345	NUM
fuelectenerg-13528	371	14	,	,	PUNCT
fuelectenerg-13528	371	15	2020	2020	NUM
fuelectenerg-13528	371	16	.	.	PUNCT
fuelectenerg-13528	372	1	[	[	X
fuelectenerg-13528	372	2	13	13	NUM
fuelectenerg-13528	372	3	]	]	PUNCT
fuelectenerg-13528	372	4	s.	s.	PROPN
fuelectenerg-13528	372	5	kaur	kaur	PROPN
fuelectenerg-13528	372	6	,	,	PUNCT
fuelectenerg-13528	372	7	y.	y.	PROPN
fuelectenerg-13528	372	8	kumar	kumar	PROPN
fuelectenerg-13528	372	9	,	,	PUNCT
fuelectenerg-13528	372	10	a.	a.	PROPN
fuelectenerg-13528	372	11	koul	koul	PROPN
fuelectenerg-13528	372	12	and	and	CCONJ
fuelectenerg-13528	372	13	s.	s.	PROPN
fuelectenerg-13528	372	14	k.	k.	PROPN
fuelectenerg-13528	372	15	kamboj	kamboj	PROPN
fuelectenerg-13528	372	16	,	,	PUNCT
fuelectenerg-13528	372	17	"	"	PUNCT
fuelectenerg-13528	372	18	a	a	DET
fuelectenerg-13528	372	19	systematic	systematic	ADJ
fuelectenerg-13528	372	20	review	review	NOUN
fuelectenerg-13528	372	21	on	on	ADP
fuelectenerg-13528	372	22	metaheuristic	metaheuristic	ADJ
fuelectenerg-13528	372	23	optimization	optimization	NOUN
fuelectenerg-13528	372	24	techniques	technique	NOUN
fuelectenerg-13528	372	25	for	for	ADP
fuelectenerg-13528	372	26	feature	feature	NOUN
fuelectenerg-13528	372	27	selections	selection	NOUN
fuelectenerg-13528	372	28	in	in	ADP
fuelectenerg-13528	372	29	disease	disease	NOUN
fuelectenerg-13528	372	30	diagnosis	diagnosis	NOUN
fuelectenerg-13528	372	31	:	:	PUNCT
fuelectenerg-13528	372	32	open	open	ADJ
fuelectenerg-13528	372	33	issues	issue	NOUN
fuelectenerg-13528	372	34	and	and	CCONJ
fuelectenerg-13528	372	35	challenges	challenge	NOUN
fuelectenerg-13528	372	36	"	"	PUNCT
fuelectenerg-13528	372	37	,	,	PUNCT
fuelectenerg-13528	372	38	arch	arch	NOUN
fuelectenerg-13528	372	39	.	.	PUNCT
fuelectenerg-13528	373	1	comput	comput	NOUN
fuelectenerg-13528	373	2	.	.	PUNCT
fuelectenerg-13528	374	1	methods	method	NOUN
fuelectenerg-13528	374	2	eng	eng	PROPN
fuelectenerg-13528	374	3	.	.	PROPN
fuelectenerg-13528	374	4	,	,	PUNCT
fuelectenerg-13528	374	5	vol	vol	NOUN
fuelectenerg-13528	374	6	.	.	PROPN
fuelectenerg-13528	374	7	30	30	NUM
fuelectenerg-13528	374	8	,	,	PUNCT
fuelectenerg-13528	374	9	no	no	INTJ
fuelectenerg-13528	374	10	.	.	NOUN
fuelectenerg-13528	374	11	3	3	NUM
fuelectenerg-13528	374	12	,	,	PUNCT
fuelectenerg-13528	374	13	pp	pp	ADJ
fuelectenerg-13528	374	14	.	.	PUNCT
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fuelectenerg-13528	375	2	,	,	PUNCT
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fuelectenerg-13528	375	4	.	.	PUNCT
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fuelectenerg-13528	376	2	14	14	NUM
fuelectenerg-13528	376	3	]	]	PUNCT
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fuelectenerg-13528	376	28	"	"	PUNCT
fuelectenerg-13528	376	29	,	,	PUNCT
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fuelectenerg-13528	377	10	,	,	PUNCT
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fuelectenerg-13528	378	7	,	,	PUNCT
fuelectenerg-13528	378	8	s.	s.	PROPN
fuelectenerg-13528	378	9	m.	m.	PROPN
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fuelectenerg-13528	378	12	,	,	PUNCT
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fuelectenerg-13528	378	30	for	for	ADP
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fuelectenerg-13528	378	33	early	early	ADJ
fuelectenerg-13528	378	34	detection	detection	NOUN
fuelectenerg-13528	378	35	and	and	CCONJ
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fuelectenerg-13528	378	37	"	"	PUNCT
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fuelectenerg-13528	381	1	res	res	PROPN
fuelectenerg-13528	381	2	.	.	PROPN
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fuelectenerg-13528	383	2	,	,	PUNCT
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fuelectenerg-13528	383	4	.	.	NOUN
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fuelectenerg-13528	383	6	,	,	PUNCT
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fuelectenerg-13528	383	8	.	.	PUNCT
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fuelectenerg-13528	385	28	a	a	DET
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fuelectenerg-13528	402	1	(	(	PUNCT
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fuelectenerg-13528	404	5	v.	v.	ADP
fuelectenerg-13528	404	6	mahalakshmi	mahalakshmi	PROPN
fuelectenerg-13528	404	7	and	and	CCONJ
fuelectenerg-13528	404	8	r.	r.	PROPN
fuelectenerg-13528	404	9	k.	k.	PROPN
fuelectenerg-13528	404	10	rout	rout	PROPN
fuelectenerg-13528	404	11	,	,	PUNCT
fuelectenerg-13528	404	12	"	"	PUNCT
fuelectenerg-13528	404	13	an	an	DET
fuelectenerg-13528	404	14	intelligence	intelligence	NOUN
fuelectenerg-13528	404	15	method	method	NOUN
fuelectenerg-13528	404	16	for	for	ADP
fuelectenerg-13528	404	17	heart	heart	NOUN
fuelectenerg-13528	404	18	disease	disease	NOUN
fuelectenerg-13528	404	19	prediction	prediction	NOUN
fuelectenerg-13528	404	20	using	use	VERB
fuelectenerg-13528	404	21	integrated	integrated	ADJ
fuelectenerg-13528	404	22	filter	filter	NOUN
fuelectenerg-13528	404	23	-	-	PUNCT
fuelectenerg-13528	404	24	evolutionary	evolutionary	ADJ
fuelectenerg-13528	404	25	search	search	NOUN
fuelectenerg-13528	404	26	based	base	VERB
fuelectenerg-13528	404	27	feature	feature	NOUN
fuelectenerg-13528	404	28	selection	selection	NOUN
fuelectenerg-13528	404	29	and	and	CCONJ
fuelectenerg-13528	404	30	optimized	optimize	VERB
fuelectenerg-13528	404	31	ensemble	ensemble	ADJ
fuelectenerg-13528	404	32	classifier	classifier	NOUN
fuelectenerg-13528	404	33	"	"	PUNCT
fuelectenerg-13528	404	34	,	,	PUNCT
fuelectenerg-13528	404	35	multimed	multime	VERB
fuelectenerg-13528	404	36	.	.	PUNCT
fuelectenerg-13528	405	1	tools	tool	NOUN
fuelectenerg-13528	405	2	appl	appl	PROPN
fuelectenerg-13528	405	3	.	.	PUNCT
fuelectenerg-13528	405	4	,	,	PUNCT
fuelectenerg-13528	405	5	vol	vol	NOUN
fuelectenerg-13528	405	6	.	.	PROPN
fuelectenerg-13528	405	7	83	83	NUM
fuelectenerg-13528	405	8	,	,	PUNCT
fuelectenerg-13528	405	9	no	no	INTJ
fuelectenerg-13528	405	10	.	.	NOUN
fuelectenerg-13528	405	11	13	13	NUM
fuelectenerg-13528	405	12	,	,	PUNCT
fuelectenerg-13528	405	13	pp	pp	ADJ
fuelectenerg-13528	405	14	.	.	PUNCT
fuelectenerg-13528	406	1	39841–39865	39841–39865	NUM
fuelectenerg-13528	406	2	,	,	PUNCT
fuelectenerg-13528	406	3	2024	2024	NUM
fuelectenerg-13528	406	4	.	.	PUNCT
fuelectenerg-13528	407	1	[	[	X
fuelectenerg-13528	407	2	22	22	NUM
fuelectenerg-13528	407	3	]	]	X
fuelectenerg-13528	407	4	j.	j.	PROPN
fuelectenerg-13528	407	5	priyadarshini	priyadarshini	PROPN
fuelectenerg-13528	407	6	,	,	PUNCT
fuelectenerg-13528	407	7	m.	m.	PROPN
fuelectenerg-13528	407	8	premalatha	premalatha	PROPN
fuelectenerg-13528	407	9	,	,	PUNCT
fuelectenerg-13528	407	10	r.	r.	PROPN
fuelectenerg-13528	407	11	čep	čep	PROPN
fuelectenerg-13528	407	12	,	,	PUNCT
fuelectenerg-13528	407	13	m.	m.	NOUN
fuelectenerg-13528	407	14	jayasudha	jayasudha	PROPN
fuelectenerg-13528	407	15	and	and	CCONJ
fuelectenerg-13528	407	16	k.	k.	PROPN
fuelectenerg-13528	407	17	kalita	kalita	PROPN
fuelectenerg-13528	407	18	,	,	PUNCT
fuelectenerg-13528	407	19	"	"	PUNCT
fuelectenerg-13528	407	20	analyzing	analyze	VERB
fuelectenerg-13528	407	21	physics	physics	NOUN
fuelectenerg-13528	407	22	-	-	PUNCT
fuelectenerg-13528	407	23	inspired	inspire	VERB
fuelectenerg-13528	407	24	metaheuristic	metaheuristic	ADJ
fuelectenerg-13528	407	25	algorithms	algorithm	NOUN
fuelectenerg-13528	407	26	in	in	ADP
fuelectenerg-13528	407	27	feature	feature	NOUN
fuelectenerg-13528	407	28	selection	selection	NOUN
fuelectenerg-13528	407	29	with	with	ADP
fuelectenerg-13528	407	30	k	k	ADJ
fuelectenerg-13528	407	31	-	-	PUNCT
fuelectenerg-13528	407	32	nearest	near	ADJ
fuelectenerg-13528	407	33	-	-	PUNCT
fuelectenerg-13528	407	34	neighbor	neighbor	NOUN
fuelectenerg-13528	407	35	"	"	PUNCT
fuelectenerg-13528	407	36	,	,	PUNCT
fuelectenerg-13528	407	37	appl	appl	PROPN
fuelectenerg-13528	407	38	.	.	PUNCT
fuelectenerg-13528	408	1	sci	sci	PROPN
fuelectenerg-13528	408	2	.	.	PROPN
fuelectenerg-13528	408	3	,	,	PUNCT
fuelectenerg-13528	408	4	vol	vol	NOUN
fuelectenerg-13528	408	5	.	.	PROPN
fuelectenerg-13528	408	6	13	13	NUM
fuelectenerg-13528	408	7	,	,	PUNCT
fuelectenerg-13528	408	8	no	no	INTJ
fuelectenerg-13528	408	9	.	.	NOUN
fuelectenerg-13528	408	10	2	2	NUM
fuelectenerg-13528	408	11	,	,	PUNCT
fuelectenerg-13528	408	12	p.	p.	NOUN
fuelectenerg-13528	408	13	906	906	NUM
fuelectenerg-13528	408	14	,	,	PUNCT
fuelectenerg-13528	408	15	2023	2023	NUM
fuelectenerg-13528	408	16	.	.	PUNCT
fuelectenerg-13528	409	1	[	[	X
fuelectenerg-13528	409	2	23	23	NUM
fuelectenerg-13528	409	3	]	]	PUNCT
fuelectenerg-13528	409	4	s.	s.	PROPN
fuelectenerg-13528	409	5	k.	k.	PROPN
fuelectenerg-13528	409	6	sharma	sharma	PROPN
fuelectenerg-13528	409	7	,	,	PUNCT
fuelectenerg-13528	409	8	l.	l.	PROPN
fuelectenerg-13528	409	9	goel	goel	PROPN
fuelectenerg-13528	409	10	and	and	CCONJ
fuelectenerg-13528	409	11	n.	n.	PROPN
fuelectenerg-13528	409	12	mittal	mittal	PROPN
fuelectenerg-13528	409	13	,	,	PUNCT
fuelectenerg-13528	409	14	"	"	PUNCT
fuelectenerg-13528	409	15	nature	nature	NOUN
fuelectenerg-13528	409	16	-	-	PUNCT
fuelectenerg-13528	409	17	inspired	inspire	VERB
fuelectenerg-13528	409	18	optimization	optimization	NOUN
fuelectenerg-13528	409	19	techniques	technique	NOUN
fuelectenerg-13528	409	20	for	for	ADP
fuelectenerg-13528	409	21	cardiovascular	cardiovascular	ADJ
fuelectenerg-13528	409	22	disease	disease	NOUN
fuelectenerg-13528	409	23	detection	detection	NOUN
fuelectenerg-13528	409	24	:	:	PUNCT
fuelectenerg-13528	409	25	a	a	DET
fuelectenerg-13528	409	26	comprehensive	comprehensive	ADJ
fuelectenerg-13528	409	27	survey	survey	NOUN
fuelectenerg-13528	409	28	"	"	PUNCT
fuelectenerg-13528	409	29	,	,	PUNCT
fuelectenerg-13528	409	30	neural	neural	ADJ
fuelectenerg-13528	409	31	comput	comput	NOUN
fuelectenerg-13528	409	32	.	.	PUNCT
fuelectenerg-13528	410	1	appl	appl	PROPN
fuelectenerg-13528	410	2	.	.	PROPN
fuelectenerg-13528	410	3	,	,	PUNCT
fuelectenerg-13528	410	4	vol	vol	NOUN
fuelectenerg-13528	410	5	.	.	PROPN
fuelectenerg-13528	411	1	37	37	NUM
fuelectenerg-13528	411	2	,	,	PUNCT
fuelectenerg-13528	411	3	pp	pp	ADJ
fuelectenerg-13528	411	4	.	.	PUNCT
fuelectenerg-13528	412	1	1839–1874	1839–1874	NUM
fuelectenerg-13528	412	2	,	,	PUNCT
fuelectenerg-13528	412	3	2024	2024	NUM
fuelectenerg-13528	412	4	.	.	PUNCT