id	sid	tid	token	lemma	pos
bitcs-7654	1	1	vol	vol	NOUN
bitcs-7654	1	2	.	.	PROPN
bitcs-7654	1	3	6	6	NUM
bitcs-7654	1	4	,	,	PUNCT
bitcs-7654	1	5	no.1	no.1	NUM
bitcs-7654	1	6	,	,	PUNCT
bitcs-7654	1	7	january	january	NOUN
bitcs-7654	1	8	2025	2025	NUM
bitcs-7654	2	1	|	|	ADV
bitcs-7654	2	2	46	46	NUM
bitcs-7654	2	3	p	p	NOUN
bitcs-7654	2	4	-	-	PUNCT
bitcs-7654	2	5	issn	issn	NOUN
bitcs-7654	2	6	:	:	PUNCT
bitcs-7654	2	7	2715	2715	NUM
bitcs-7654	2	8	-	-	SYM
bitcs-7654	2	9	2448	2448	NUM
bitcs-7654	2	10	|	|	NOUN
bitcs-7654	2	11	e	e	NOUN
bitcs-7654	2	12	-	-	NOUN
bitcs-7654	2	13	issn	issn	NOUN
bitcs-7654	2	14	:	:	PUNCT
bitcs-7654	2	15	2715	2715	NUM
bitcs-7654	2	16	-	-	SYM
bitcs-7654	2	17	7199	7199	NUM
bitcs-7654	2	18	vol.6	vol.6	PROPN
bitcs-7654	2	19	no.1	no.1	PROPN
bitcs-7654	2	20	,	,	PUNCT
bitcs-7654	2	21	january	january	PROPN
bitcs-7654	2	22	2025	2025	NUM
bitcs-7654	2	23	buana	buana	PROPN
bitcs-7654	2	24	information	information	PROPN
bitcs-7654	2	25	technology	technology	NOUN
bitcs-7654	2	26	and	and	CCONJ
bitcs-7654	2	27	computer	computer	NOUN
bitcs-7654	2	28	sciences	science	NOUN
bitcs-7654	2	29	(	(	PUNCT
bitcs-7654	2	30	bit	bit	NOUN
bitcs-7654	2	31	and	and	CCONJ
bitcs-7654	2	32	cs	cs	NOUN
bitcs-7654	2	33	)	)	PUNCT
bitcs-7654	2	34	a	a	DET
bitcs-7654	2	35	novel	novel	ADJ
bitcs-7654	2	36	multi	multi	ADJ
bitcs-7654	2	37	-	-	ADJ
bitcs-7654	2	38	level	level	ADJ
bitcs-7654	2	39	perceptron	perceptron	NOUN
bitcs-7654	2	40	for	for	ADP
bitcs-7654	2	41	accurate	accurate	ADJ
bitcs-7654	2	42	heart	heart	NOUN
bitcs-7654	2	43	stroke	stroke	NOUN
bitcs-7654	2	44	diagnosis	diagnosis	NOUN
bitcs-7654	2	45	muhammad	muhammad	PROPN
bitcs-7654	2	46	khubaib1	khubaib1	PROPN
bitcs-7654	2	47	,	,	PUNCT
bitcs-7654	2	48	muhammad	muhammad	PROPN
bitcs-7654	2	49	zaman2	zaman2	PROPN
bitcs-7654	2	50	*	*	PROPN
bitcs-7654	2	51	,	,	PUNCT
bitcs-7654	2	52	tanzila	tanzila	PROPN
bitcs-7654	2	53	kahkashan3	kahkashan3	PROPN
bitcs-7654	2	54	,	,	PUNCT
bitcs-7654	2	55	anam	anam	PROPN
bitcs-7654	2	56	zahoor4	zahoor4	PROPN
bitcs-7654	2	57	,	,	PUNCT
bitcs-7654	2	58	narges	narge	NOUN
bitcs-7654	2	59	shahbaz5	shahbaz5	PROPN
bitcs-7654	2	60	,	,	PUNCT
bitcs-7654	2	61	shahzad	shahzad	PROPN
bitcs-7654	2	62	shoukat6	shoukat6	PROPN
bitcs-7654	2	63	,	,	PUNCT
bitcs-7654	2	64	fahma	fahma	PROPN
bitcs-7654	2	65	nisar7	nisar7	PROPN
bitcs-7654	2	66	1,2,4	1,2,4	NUM
bitcs-7654	2	67	faculty	faculty	NOUN
bitcs-7654	2	68	of	of	ADP
bitcs-7654	2	69	computer	computer	NOUN
bitcs-7654	2	70	science	science	NOUN
bitcs-7654	2	71	,	,	PUNCT
bitcs-7654	2	72	university	university	NOUN
bitcs-7654	2	73	of	of	ADP
bitcs-7654	2	74	lahore	lahore	NOUN
bitcs-7654	2	75	,	,	PUNCT
bitcs-7654	2	76	10	10	NUM
bitcs-7654	2	77	km	km	NOUN
bitcs-7654	2	78	lahoresargodha	lahoresargodha	PROPN
bitcs-7654	2	79	rd	rd	PROPN
bitcs-7654	2	80	,	,	PUNCT
bitcs-7654	2	81	sargodha	sargodha	PROPN
bitcs-7654	2	82	,	,	PUNCT
bitcs-7654	2	83	pakistan	pakistan	PROPN
bitcs-7654	2	84	.	.	PUNCT
bitcs-7654	3	1	3	3	NUM
bitcs-7654	3	2	faculty	faculty	NOUN
bitcs-7654	3	3	of	of	ADP
bitcs-7654	3	4	computing	computing	NOUN
bitcs-7654	3	5	,	,	PUNCT
bitcs-7654	3	6	universiti	universiti	PROPN
bitcs-7654	3	7	teknologi	teknologi	PROPN
bitcs-7654	3	8	malaysia	malaysia	PROPN
bitcs-7654	3	9	,	,	PUNCT
bitcs-7654	3	10	johor	johor	PROPN
bitcs-7654	3	11	bahru	bahru	PROPN
bitcs-7654	3	12	81310	81310	NUM
bitcs-7654	3	13	,	,	PUNCT
bitcs-7654	3	14	malaysia	malaysia	PROPN
bitcs-7654	3	15	.	.	PROPN
bitcs-7654	3	16	5	5	NUM
bitcs-7654	3	17	department	department	NOUN
bitcs-7654	3	18	of	of	ADP
bitcs-7654	3	19	education	education	NOUN
bitcs-7654	3	20	,	,	PUNCT
bitcs-7654	3	21	university	university	NOUN
bitcs-7654	3	22	of	of	ADP
bitcs-7654	3	23	education	education	NOUN
bitcs-7654	3	24	,	,	PUNCT
bitcs-7654	3	25	lahore	lahore	NOUN
bitcs-7654	3	26	,	,	PUNCT
bitcs-7654	3	27	pakistan	pakistan	PROPN
bitcs-7654	3	28	.	.	PUNCT
bitcs-7654	4	1	6,7	6,7	NUM
bitcs-7654	4	2	department	department	NOUN
bitcs-7654	4	3	of	of	ADP
bitcs-7654	4	4	computer	computer	NOUN
bitcs-7654	4	5	science	science	NOUN
bitcs-7654	4	6	,	,	PUNCT
bitcs-7654	4	7	comsats	comsats	PROPN
bitcs-7654	4	8	university	university	PROPN
bitcs-7654	4	9	islamabad	islamabad	PROPN
bitcs-7654	4	10	,	,	PUNCT
bitcs-7654	4	11	islamabad	islamabad	PROPN
bitcs-7654	4	12	,	,	PUNCT
bitcs-7654	4	13	pakistan	pakistan	PROPN
bitcs-7654	4	14	.	.	PUNCT
bitcs-7654	5	1	e	e	X
bitcs-7654	5	2	-	-	NOUN
bitcs-7654	5	3	mail	mail	NOUN
bitcs-7654	5	4	:	:	PUNCT
bitcs-7654	5	5	mkhubaib141@gmail.com	mkhubaib141@gmail.com	X
bitcs-7654	5	6	,	,	PUNCT
bitcs-7654	5	7	muhammad.zaman@cs.uol.edu.pk	muhammad.zaman@cs.uol.edu.pk	NOUN
bitcs-7654	5	8	*	*	NOUN
bitcs-7654	5	9	,	,	PUNCT
bitcs-7654	5	10	tanzila.kehkashan@cs.uol.edu.pk	tanzila.kehkashan@cs.uol.edu.pk	ADV
bitcs-7654	5	11	,	,	PUNCT
bitcs-7654	5	12	tanzila@graduate.utm.my	tanzila@graduate.utm.my	NOUN
bitcs-7654	5	13	,	,	PUNCT
bitcs-7654	5	14	malikanam06@gmail.com	malikanam06@gmail.com	PROPN
bitcs-7654	5	15	,	,	PUNCT
bitcs-7654	5	16	nargesshahbaz20137@gmail.com	nargesshahbaz20137@gmail.com	NOUN
bitcs-7654	5	17	,	,	PUNCT
bitcs-7654	5	18	karishmaaslam078@gmail.com	karishmaaslam078@gmail.com	PROPN
bitcs-7654	5	19	,	,	PUNCT
bitcs-7654	5	20	fahmanisar001@gmail.com	fahmanisar001@gmail.com	X
bitcs-7654	5	21	received	receive	VERB
bitcs-7654	5	22	:	:	PUNCT
bitcs-7654	5	23	2024	2024	NUM
bitcs-7654	5	24	-	-	SYM
bitcs-7654	5	25	06	06	NUM
bitcs-7654	5	26	-	-	SYM
bitcs-7654	5	27	23	23	NUM
bitcs-7654	5	28	|	|	ADV
bitcs-7654	5	29	revised	revise	VERB
bitcs-7654	5	30	:	:	PUNCT
bitcs-7654	5	31	2024	2024	NUM
bitcs-7654	5	32	-	-	SYM
bitcs-7654	5	33	12	12	NUM
bitcs-7654	5	34	-	-	SYM
bitcs-7654	5	35	10	10	NUM
bitcs-7654	5	36	|	|	ADV
bitcs-7654	5	37	accepted	accept	VERB
bitcs-7654	5	38	:	:	PUNCT
bitcs-7654	5	39	2025	2025	NUM
bitcs-7654	5	40	-	-	SYM
bitcs-7654	5	41	01	01	NUM
bitcs-7654	5	42	-	-	PUNCT
bitcs-7654	5	43	30	30	NUM
bitcs-7654	5	44	abstract	abstract	ADJ
bitcs-7654	5	45	heart	heart	NOUN
bitcs-7654	5	46	is	be	AUX
bitcs-7654	5	47	a	a	DET
bitcs-7654	5	48	very	very	ADV
bitcs-7654	5	49	important	important	ADJ
bitcs-7654	5	50	part	part	NOUN
bitcs-7654	5	51	of	of	ADP
bitcs-7654	5	52	human	human	ADJ
bitcs-7654	5	53	body	body	NOUN
bitcs-7654	5	54	,	,	PUNCT
bitcs-7654	5	55	it	it	PRON
bitcs-7654	5	56	supply	supply	VERB
bitcs-7654	5	57	blood	blood	NOUN
bitcs-7654	5	58	to	to	ADP
bitcs-7654	5	59	body	body	NOUN
bitcs-7654	5	60	.	.	PUNCT
bitcs-7654	6	1	if	if	SCONJ
bitcs-7654	6	2	the	the	DET
bitcs-7654	6	3	heart	heart	NOUN
bitcs-7654	6	4	fail	fail	VERB
bitcs-7654	6	5	down	down	ADP
bitcs-7654	6	6	the	the	DET
bitcs-7654	6	7	person	person	NOUN
bitcs-7654	6	8	can	can	AUX
bitcs-7654	6	9	not	not	PART
bitcs-7654	6	10	survive	survive	VERB
bitcs-7654	6	11	.	.	PUNCT
bitcs-7654	7	1	this	this	PRON
bitcs-7654	7	2	is	be	AUX
bitcs-7654	7	3	very	very	ADV
bitcs-7654	7	4	important	important	ADJ
bitcs-7654	7	5	to	to	PART
bitcs-7654	7	6	diagnose	diagnose	VERB
bitcs-7654	7	7	the	the	DET
bitcs-7654	7	8	heart	heart	NOUN
bitcs-7654	7	9	disease	disease	NOUN
bitcs-7654	7	10	timely	timely	ADV
bitcs-7654	7	11	to	to	PART
bitcs-7654	7	12	start	start	VERB
bitcs-7654	7	13	proper	proper	ADJ
bitcs-7654	7	14	treatment	treatment	NOUN
bitcs-7654	7	15	.	.	PUNCT
bitcs-7654	8	1	to	to	PART
bitcs-7654	8	2	dingoes	dingoe	VERB
bitcs-7654	8	3	this	this	DET
bitcs-7654	8	4	disease	disease	NOUN
bitcs-7654	8	5	manually	manually	ADV
bitcs-7654	8	6	takes	take	VERB
bitcs-7654	8	7	time	time	NOUN
bitcs-7654	8	8	a	a	DET
bitcs-7654	8	9	lot	lot	NOUN
bitcs-7654	8	10	and	and	CCONJ
bitcs-7654	8	11	budget	budget	NOUN
bitcs-7654	8	12	of	of	ADP
bitcs-7654	8	13	the	the	DET
bitcs-7654	8	14	patient	patient	NOUN
bitcs-7654	8	15	.	.	PUNCT
bitcs-7654	9	1	traditionally	traditionally	ADV
bitcs-7654	9	2	the	the	DET
bitcs-7654	9	3	patient	patient	NOUN
bitcs-7654	9	4	have	have	VERB
bitcs-7654	9	5	to	to	PART
bitcs-7654	9	6	go	go	VERB
bitcs-7654	9	7	through	through	ADP
bitcs-7654	9	8	form	form	NOUN
bitcs-7654	9	9	different	different	ADJ
bitcs-7654	9	10	test	test	NOUN
bitcs-7654	9	11	then	then	ADV
bitcs-7654	9	12	he	he	PRON
bitcs-7654	9	13	have	have	VERB
bitcs-7654	9	14	to	to	PART
bitcs-7654	9	15	give	give	VERB
bitcs-7654	9	16	medical	medical	ADJ
bitcs-7654	9	17	history	history	NOUN
bitcs-7654	9	18	to	to	ADP
bitcs-7654	9	19	the	the	DET
bitcs-7654	9	20	doctor	doctor	NOUN
bitcs-7654	9	21	then	then	ADV
bitcs-7654	9	22	the	the	DET
bitcs-7654	9	23	doctor	doctor	NOUN
bitcs-7654	9	24	make	make	VERB
bitcs-7654	9	25	decision	decision	NOUN
bitcs-7654	9	26	about	about	ADP
bitcs-7654	9	27	their	their	PRON
bitcs-7654	9	28	disease	disease	NOUN
bitcs-7654	9	29	and	and	CCONJ
bitcs-7654	9	30	then	then	ADV
bitcs-7654	9	31	the	the	DET
bitcs-7654	9	32	treatment	treatment	NOUN
bitcs-7654	9	33	start	start	VERB
bitcs-7654	9	34	.	.	PUNCT
bitcs-7654	10	1	in	in	ADP
bitcs-7654	10	2	the	the	DET
bitcs-7654	10	3	developing	develop	VERB
bitcs-7654	10	4	countries	country	NOUN
bitcs-7654	10	5	especially	especially	ADV
bitcs-7654	10	6	like	like	ADP
bitcs-7654	10	7	pakistan	pakistan	PROPN
bitcs-7654	10	8	the	the	DET
bitcs-7654	10	9	income	income	NOUN
bitcs-7654	10	10	of	of	ADP
bitcs-7654	10	11	the	the	DET
bitcs-7654	10	12	people	people	NOUN
bitcs-7654	10	13	are	be	AUX
bitcs-7654	10	14	too	too	ADV
bitcs-7654	10	15	much	much	ADV
bitcs-7654	10	16	low	low	ADJ
bitcs-7654	10	17	and	and	CCONJ
bitcs-7654	10	18	they	they	PRON
bitcs-7654	10	19	can	can	AUX
bitcs-7654	10	20	not	not	PART
bitcs-7654	10	21	offered	offer	VERB
bitcs-7654	10	22	different	different	ADJ
bitcs-7654	10	23	type	type	NOUN
bitcs-7654	10	24	of	of	ADP
bitcs-7654	10	25	expensive	expensive	ADJ
bitcs-7654	10	26	tests	test	NOUN
bitcs-7654	10	27	like	like	ADP
bitcs-7654	10	28	ecg	ecg	PROPN
bitcs-7654	10	29	etc	etc	X
bitcs-7654	10	30	.	.	X
bitcs-7654	11	1	in	in	ADP
bitcs-7654	11	2	this	this	DET
bitcs-7654	11	3	way	way	NOUN
bitcs-7654	11	4	the	the	DET
bitcs-7654	11	5	disease	disease	NOUN
bitcs-7654	11	6	can	can	AUX
bitcs-7654	11	7	not	not	PART
bitcs-7654	11	8	detect	detect	VERB
bitcs-7654	11	9	timely	timely	ADV
bitcs-7654	11	10	and	and	CCONJ
bitcs-7654	11	11	can	can	AUX
bitcs-7654	11	12	not	not	PART
bitcs-7654	11	13	treated	treat	VERB
bitcs-7654	11	14	properly	properly	ADV
bitcs-7654	11	15	.	.	PUNCT
bitcs-7654	12	1	the	the	DET
bitcs-7654	12	2	heart	heart	NOUN
bitcs-7654	12	3	stroke	stroke	NOUN
bitcs-7654	12	4	can	can	AUX
bitcs-7654	12	5	be	be	AUX
bitcs-7654	12	6	predicted	predict	VERB
bitcs-7654	12	7	by	by	ADP
bitcs-7654	12	8	analyzing	analyze	VERB
bitcs-7654	12	9	different	different	ADJ
bitcs-7654	12	10	attributes	attribute	NOUN
bitcs-7654	12	11	like	like	ADP
bitcs-7654	12	12	blood	blood	NOUN
bitcs-7654	12	13	pressure	pressure	NOUN
bitcs-7654	12	14	,	,	PUNCT
bitcs-7654	12	15	cholesterol	cholesterol	NOUN
bitcs-7654	12	16	age	age	NOUN
bitcs-7654	12	17	etc	etc	X
bitcs-7654	12	18	.	.	X
bitcs-7654	12	19	,	,	PUNCT
bitcs-7654	12	20	this	this	PRON
bitcs-7654	12	21	is	be	AUX
bitcs-7654	12	22	a	a	DET
bitcs-7654	12	23	best	good	ADJ
bitcs-7654	12	24	and	and	CCONJ
bitcs-7654	12	25	easy	easy	ADJ
bitcs-7654	12	26	way	way	NOUN
bitcs-7654	12	27	to	to	PART
bitcs-7654	12	28	predict	predict	VERB
bitcs-7654	12	29	heat	heat	NOUN
bitcs-7654	12	30	stroke	stroke	NOUN
bitcs-7654	12	31	timely	timely	ADV
bitcs-7654	12	32	.	.	PUNCT
bitcs-7654	13	1	different	different	ADJ
bitcs-7654	13	2	types	type	NOUN
bitcs-7654	13	3	of	of	ADP
bitcs-7654	13	4	machine	machine	NOUN
bitcs-7654	13	5	learning	learning	NOUN
bitcs-7654	13	6	and	and	CCONJ
bitcs-7654	13	7	deep	deep	ADJ
bitcs-7654	13	8	learning	learning	NOUN
bitcs-7654	13	9	algorithms	algorithm	NOUN
bitcs-7654	13	10	are	be	AUX
bitcs-7654	13	11	used	use	VERB
bitcs-7654	13	12	for	for	ADP
bitcs-7654	13	13	heart	heart	NOUN
bitcs-7654	13	14	stroke	stroke	NOUN
bitcs-7654	13	15	predictions	prediction	NOUN
bitcs-7654	13	16	.	.	PUNCT
bitcs-7654	14	1	in	in	ADP
bitcs-7654	14	2	this	this	DET
bitcs-7654	14	3	paper	paper	NOUN
bitcs-7654	14	4	we	we	PRON
bitcs-7654	14	5	purposed	purpose	VERB
bitcs-7654	14	6	novel	novel	ADJ
bitcs-7654	14	7	multilayer	multilayer	NOUN
bitcs-7654	14	8	-	-	PUNCT
bitcs-7654	14	9	perceptron	perceptron	PROPN
bitcs-7654	14	10	(	(	PUNCT
bitcs-7654	14	11	mlp	mlp	PROPN
bitcs-7654	14	12	)	)	PUNCT
bitcs-7654	14	13	that	that	PRON
bitcs-7654	14	14	are	be	AUX
bitcs-7654	14	15	efficient	efficient	ADJ
bitcs-7654	14	16	in	in	ADP
bitcs-7654	14	17	classification	classification	NOUN
bitcs-7654	14	18	and	and	CCONJ
bitcs-7654	14	19	in	in	ADP
bitcs-7654	14	20	heart	heart	NOUN
bitcs-7654	14	21	stoke	stoke	NOUN
bitcs-7654	14	22	prediction	prediction	NOUN
bitcs-7654	14	23	that	that	DET
bitcs-7654	14	24	model	model	NOUN
bitcs-7654	14	25	achieve	achieve	VERB
bitcs-7654	14	26	high	high	ADJ
bitcs-7654	14	27	accuracy	accuracy	NOUN
bitcs-7654	14	28	of	of	ADP
bitcs-7654	14	29	99	99	NUM
bitcs-7654	14	30	%	%	NOUN
bitcs-7654	14	31	keywords	keyword	NOUN
bitcs-7654	14	32	:	:	PUNCT
bitcs-7654	14	33	heart	heart	NOUN
bitcs-7654	14	34	disease	disease	NOUN
bitcs-7654	14	35	detection	detection	NOUN
bitcs-7654	14	36	,	,	PUNCT
bitcs-7654	14	37	cardiovascular	cardiovascular	ADJ
bitcs-7654	14	38	disease	disease	NOUN
bitcs-7654	14	39	,	,	PUNCT
bitcs-7654	14	40	classification	classification	NOUN
bitcs-7654	14	41	algorithms	algorithm	NOUN
bitcs-7654	14	42	,	,	PUNCT
bitcs-7654	14	43	medical	medical	ADJ
bitcs-7654	14	44	imaging	imaging	NOUN
bitcs-7654	14	45	i.	i.	PROPN
bitcs-7654	14	46	introduction	introduction	NOUN
bitcs-7654	14	47	heart	heart	NOUN
bitcs-7654	14	48	disease	disease	NOUN
bitcs-7654	14	49	is	be	AUX
bitcs-7654	14	50	fatal	fatal	ADJ
bitcs-7654	14	51	diseases	disease	NOUN
bitcs-7654	14	52	across	across	ADP
bitcs-7654	14	53	the	the	DET
bitcs-7654	14	54	world	world	NOUN
bitcs-7654	14	55	that	that	PRON
bitcs-7654	14	56	cause	cause	VERB
bitcs-7654	14	57	a	a	DET
bitcs-7654	14	58	large	large	ADJ
bitcs-7654	14	59	number	number	NOUN
bitcs-7654	14	60	of	of	ADP
bitcs-7654	14	61	deaths	death	NOUN
bitcs-7654	15	1	[	[	X
bitcs-7654	15	2	1	1	NUM
bitcs-7654	15	3	]	]	PUNCT
bitcs-7654	15	4	.	.	PUNCT
bitcs-7654	16	1	this	this	PRON
bitcs-7654	16	2	is	be	AUX
bitcs-7654	16	3	medical	medical	ADJ
bitcs-7654	16	4	condition	condition	NOUN
bitcs-7654	16	5	when	when	SCONJ
bitcs-7654	16	6	heart	heart	NOUN
bitcs-7654	16	7	stop	stop	VERB
bitcs-7654	16	8	working	work	VERB
bitcs-7654	16	9	properly	properly	ADV
bitcs-7654	16	10	and	and	CCONJ
bitcs-7654	16	11	can	can	AUX
bitcs-7654	16	12	not	not	PART
bitcs-7654	16	13	pump	pump	VERB
bitcs-7654	16	14	the	the	DET
bitcs-7654	16	15	proper	proper	ADJ
bitcs-7654	16	16	amount	amount	NOUN
bitcs-7654	16	17	of	of	ADP
bitcs-7654	16	18	blood	blood	NOUN
bitcs-7654	16	19	to	to	ADP
bitcs-7654	16	20	the	the	DET
bitcs-7654	16	21	body	body	NOUN
bitcs-7654	16	22	parts	part	NOUN
bitcs-7654	16	23	[	[	X
bitcs-7654	16	24	2	2	NUM
bitcs-7654	16	25	]	]	PUNCT
bitcs-7654	16	26	.	.	PUNCT
bitcs-7654	17	1	the	the	DET
bitcs-7654	17	2	primary	primary	ADJ
bitcs-7654	17	3	symptoms	symptom	NOUN
bitcs-7654	17	4	of	of	ADP
bitcs-7654	17	5	this	this	DET
bitcs-7654	17	6	disease	disease	NOUN
bitcs-7654	17	7	is	be	AUX
bitcs-7654	17	8	chest	chest	NOUN
bitcs-7654	17	9	pain	pain	NOUN
bitcs-7654	17	10	,	,	PUNCT
bitcs-7654	17	11	irregular	irregular	ADJ
bitcs-7654	17	12	heartbeat	heartbeat	NOUN
bitcs-7654	17	13	,	,	PUNCT
bitcs-7654	17	14	swollen	swollen	ADJ
bitcs-7654	17	15	feet	foot	NOUN
bitcs-7654	18	1	[	[	X
bitcs-7654	18	2	3	3	NUM
bitcs-7654	18	3	]	]	PUNCT
bitcs-7654	18	4	.	.	PUNCT
bitcs-7654	19	1	the	the	DET
bitcs-7654	19	2	current	current	ADJ
bitcs-7654	19	3	techniques	technique	NOUN
bitcs-7654	19	4	are	be	AUX
bitcs-7654	19	5	not	not	PART
bitcs-7654	19	6	much	much	ADV
bitcs-7654	19	7	efficient	efficient	ADJ
bitcs-7654	19	8	to	to	PART
bitcs-7654	19	9	detect	detect	VERB
bitcs-7654	19	10	heart	heart	NOUN
bitcs-7654	19	11	disease	disease	NOUN
bitcs-7654	19	12	early	early	ADV
bitcs-7654	19	13	so	so	SCONJ
bitcs-7654	19	14	researcher	researcher	NOUN
bitcs-7654	19	15	try	try	VERB
bitcs-7654	19	16	to	to	PART
bitcs-7654	19	17	find	find	VERB
bitcs-7654	19	18	new	new	ADJ
bitcs-7654	19	19	technologies	technology	NOUN
bitcs-7654	19	20	to	to	PART
bitcs-7654	19	21	overcome	overcome	VERB
bitcs-7654	19	22	these	these	DET
bitcs-7654	19	23	issues	issue	NOUN
bitcs-7654	19	24	and	and	CCONJ
bitcs-7654	19	25	want	want	VERB
bitcs-7654	19	26	to	to	PART
bitcs-7654	19	27	detect	detect	VERB
bitcs-7654	19	28	disease	disease	NOUN
bitcs-7654	19	29	more	more	ADV
bitcs-7654	19	30	accurately	accurately	ADV
bitcs-7654	19	31	and	and	CCONJ
bitcs-7654	19	32	timely	timely	ADJ
bitcs-7654	20	1	[	[	X
bitcs-7654	20	2	4	4	NUM
bitcs-7654	20	3	]	]	PUNCT
bitcs-7654	20	4	.	.	PUNCT
bitcs-7654	21	1	this	this	PRON
bitcs-7654	21	2	is	be	AUX
bitcs-7654	21	3	a	a	DET
bitcs-7654	21	4	big	big	ADJ
bitcs-7654	21	5	issue	issue	NOUN
bitcs-7654	21	6	of	of	ADP
bitcs-7654	21	7	diagnosing	diagnose	VERB
bitcs-7654	21	8	the	the	DET
bitcs-7654	21	9	disease	disease	NOUN
bitcs-7654	21	10	timely	timely	ADV
bitcs-7654	21	11	while	while	SCONJ
bitcs-7654	21	12	using	use	VERB
bitcs-7654	21	13	current	current	ADJ
bitcs-7654	21	14	techniques	technique	NOUN
bitcs-7654	21	15	when	when	SCONJ
bitcs-7654	21	16	the	the	DET
bitcs-7654	21	17	medical	medical	ADJ
bitcs-7654	21	18	expert	expert	NOUN
bitcs-7654	21	19	not	not	PART
bitcs-7654	21	20	available	available	ADJ
bitcs-7654	21	21	at	at	ADP
bitcs-7654	21	22	that	that	DET
bitcs-7654	21	23	time	time	NOUN
bitcs-7654	21	24	[	[	X
bitcs-7654	21	25	5	5	NUM
bitcs-7654	21	26	]	]	PUNCT
bitcs-7654	21	27	.	.	PUNCT
bitcs-7654	22	1	if	if	SCONJ
bitcs-7654	22	2	the	the	DET
bitcs-7654	22	3	disease	disease	NOUN
bitcs-7654	22	4	can	can	AUX
bitcs-7654	22	5	detect	detect	VERB
bitcs-7654	22	6	timely	timely	ADV
bitcs-7654	22	7	this	this	PRON
bitcs-7654	22	8	is	be	AUX
bitcs-7654	22	9	a	a	DET
bitcs-7654	22	10	big	big	ADJ
bitcs-7654	22	11	chance	chance	NOUN
bitcs-7654	22	12	to	to	PART
bitcs-7654	22	13	treated	treated	VERB
bitcs-7654	22	14	this	this	PRON
bitcs-7654	22	15	and	and	CCONJ
bitcs-7654	22	16	can	can	AUX
bitcs-7654	22	17	save	save	VERB
bitcs-7654	22	18	the	the	DET
bitcs-7654	22	19	life	life	NOUN
bitcs-7654	22	20	of	of	ADP
bitcs-7654	22	21	patient	patient	NOUN
bitcs-7654	22	22	[	[	X
bitcs-7654	22	23	6	6	NUM
bitcs-7654	22	24	]	]	PUNCT
bitcs-7654	22	25	.	.	PUNCT
bitcs-7654	23	1	there	there	PRON
bitcs-7654	23	2	are	be	VERB
bitcs-7654	23	3	millions	million	NOUN
bitcs-7654	23	4	of	of	ADP
bitcs-7654	23	5	people	people	NOUN
bitcs-7654	23	6	that	that	PRON
bitcs-7654	23	7	are	be	AUX
bitcs-7654	23	8	cause	cause	NOUN
bitcs-7654	23	9	of	of	ADP
bitcs-7654	23	10	heart	heart	NOUN
bitcs-7654	23	11	disease	disease	NOUN
bitcs-7654	23	12	are	be	AUX
bitcs-7654	23	13	diagnosed	diagnose	VERB
bitcs-7654	23	14	yearly	yearly	ADV
bitcs-7654	24	1	[	[	X
bitcs-7654	24	2	3	3	NUM
bitcs-7654	24	3	]	]	PUNCT
bitcs-7654	24	4	.	.	PUNCT
bitcs-7654	25	1	there	there	PRON
bitcs-7654	25	2	is	be	VERB
bitcs-7654	25	3	also	also	ADV
bitcs-7654	25	4	a	a	DET
bitcs-7654	25	5	big	big	ADJ
bitcs-7654	25	6	strength	strength	NOUN
bitcs-7654	25	7	of	of	ADP
bitcs-7654	25	8	people	people	NOUN
bitcs-7654	25	9	that	that	PRON
bitcs-7654	25	10	are	be	AUX
bitcs-7654	25	11	stroked	stroke	VERB
bitcs-7654	25	12	by	by	ADP
bitcs-7654	25	13	this	this	DET
bitcs-7654	25	14	fatal	fatal	ADJ
bitcs-7654	25	15	disease	disease	NOUN
bitcs-7654	25	16	in	in	ADP
bitcs-7654	25	17	united	united	PROPN
bitcs-7654	25	18	states	states	PROPN
bitcs-7654	25	19	[	[	X
bitcs-7654	25	20	1	1	NUM
bitcs-7654	25	21	]	]	PUNCT
bitcs-7654	25	22	.	.	PUNCT
bitcs-7654	26	1	the	the	DET
bitcs-7654	26	2	tradition	tradition	NOUN
bitcs-7654	26	3	diagnosis	diagnosis	NOUN
bitcs-7654	26	4	of	of	ADP
bitcs-7654	26	5	heart	heart	NOUN
bitcs-7654	26	6	disease	disease	NOUN
bitcs-7654	26	7	includes	include	VERB
bitcs-7654	26	8	collecting	collect	VERB
bitcs-7654	26	9	the	the	DET
bitcs-7654	26	10	medical	medical	ADJ
bitcs-7654	26	11	history	history	NOUN
bitcs-7654	26	12	of	of	ADP
bitcs-7654	26	13	patient	patient	NOUN
bitcs-7654	26	14	,	,	PUNCT
bitcs-7654	26	15	report	report	NOUN
bitcs-7654	26	16	of	of	ADP
bitcs-7654	26	17	physical	physical	ADJ
bitcs-7654	26	18	health	health	NOUN
bitcs-7654	26	19	and	and	CCONJ
bitcs-7654	26	20	then	then	ADV
bitcs-7654	26	21	all	all	DET
bitcs-7654	26	22	these	these	PRON
bitcs-7654	26	23	are	be	AUX
bitcs-7654	26	24	analyzed	analyze	VERB
bitcs-7654	26	25	by	by	ADP
bitcs-7654	26	26	the	the	DET
bitcs-7654	26	27	medial	medial	ADJ
bitcs-7654	26	28	specialist	specialist	NOUN
bitcs-7654	26	29	,	,	PUNCT
bitcs-7654	26	30	but	but	CCONJ
bitcs-7654	26	31	this	this	PRON
bitcs-7654	26	32	is	be	AUX
bitcs-7654	26	33	too	too	ADV
bitcs-7654	26	34	much	much	ADV
bitcs-7654	26	35	expensive	expensive	ADJ
bitcs-7654	26	36	and	and	CCONJ
bitcs-7654	26	37	time	time	NOUN
bitcs-7654	26	38	taking	take	VERB
bitcs-7654	26	39	process	process	NOUN
bitcs-7654	26	40	[	[	X
bitcs-7654	26	41	1	1	NUM
bitcs-7654	26	42	]	]	PUNCT
bitcs-7654	26	43	.	.	PUNCT
bitcs-7654	27	1	the	the	DET
bitcs-7654	27	2	patient	patient	NOUN
bitcs-7654	27	3	has	have	VERB
bitcs-7654	27	4	to	to	PART
bitcs-7654	27	5	go	go	VERB
bitcs-7654	27	6	laboratories	laboratory	NOUN
bitcs-7654	27	7	to	to	ADP
bitcs-7654	27	8	conducting	conduct	VERB
bitcs-7654	27	9	many	many	ADJ
bitcs-7654	27	10	tests	test	NOUN
bitcs-7654	27	11	to	to	ADP
bitcs-7654	27	12	finding	find	VERB
bitcs-7654	27	13	physical	physical	ADJ
bitcs-7654	27	14	reports	report	NOUN
bitcs-7654	27	15	,	,	PUNCT
bitcs-7654	27	16	this	this	PRON
bitcs-7654	27	17	is	be	AUX
bitcs-7654	27	18	also	also	ADV
bitcs-7654	27	19	a	a	DET
bitcs-7654	27	20	vol	vol	NOUN
bitcs-7654	27	21	.	.	PROPN
bitcs-7654	27	22	6	6	NUM
bitcs-7654	27	23	,	,	PUNCT
bitcs-7654	27	24	no.1	no.1	NUM
bitcs-7654	27	25	,	,	PUNCT
bitcs-7654	27	26	january	january	NOUN
bitcs-7654	27	27	2025	2025	NUM
bitcs-7654	27	28	|	|	ADV
bitcs-7654	27	29	47	47	NUM
bitcs-7654	27	30	type	type	NOUN
bitcs-7654	27	31	of	of	ADP
bitcs-7654	27	32	burden	burden	NOUN
bitcs-7654	27	33	in	in	ADP
bitcs-7654	27	34	form	form	NOUN
bitcs-7654	27	35	of	of	ADP
bitcs-7654	27	36	money	money	NOUN
bitcs-7654	27	37	to	to	ADP
bitcs-7654	27	38	the	the	DET
bitcs-7654	27	39	patient	patient	NOUN
bitcs-7654	27	40	[	[	X
bitcs-7654	27	41	7	7	NUM
bitcs-7654	27	42	]	]	PUNCT
bitcs-7654	27	43	.	.	PUNCT
bitcs-7654	28	1	the	the	DET
bitcs-7654	28	2	heart	heart	NOUN
bitcs-7654	28	3	disease	disease	NOUN
bitcs-7654	28	4	identification	identification	NOUN
bitcs-7654	28	5	is	be	AUX
bitcs-7654	28	6	complex	complex	ADJ
bitcs-7654	28	7	task	task	NOUN
bitcs-7654	28	8	due	due	ADP
bitcs-7654	28	9	to	to	ADP
bitcs-7654	28	10	tests	test	NOUN
bitcs-7654	28	11	and	and	CCONJ
bitcs-7654	28	12	other	other	ADJ
bitcs-7654	28	13	details	detail	NOUN
bitcs-7654	28	14	[	[	X
bitcs-7654	28	15	8	8	NUM
bitcs-7654	28	16	]	]	PUNCT
bitcs-7654	28	17	.	.	PUNCT
bitcs-7654	29	1	in	in	ADP
bitcs-7654	29	2	developing	develop	VERB
bitcs-7654	29	3	countries	country	NOUN
bitcs-7654	29	4	this	this	PRON
bitcs-7654	29	5	is	be	AUX
bitcs-7654	29	6	also	also	ADV
bitcs-7654	29	7	a	a	DET
bitcs-7654	29	8	big	big	ADJ
bitcs-7654	29	9	issue	issue	NOUN
bitcs-7654	29	10	for	for	SCONJ
bitcs-7654	29	11	patients	patient	NOUN
bitcs-7654	29	12	to	to	PART
bitcs-7654	29	13	get	get	VERB
bitcs-7654	29	14	affordable	affordable	ADJ
bitcs-7654	29	15	diagnoses	diagnosis	NOUN
bitcs-7654	29	16	due	due	ADP
bitcs-7654	29	17	to	to	ADP
bitcs-7654	29	18	low	low	ADJ
bitcs-7654	29	19	income	income	NOUN
bitcs-7654	29	20	and	and	CCONJ
bitcs-7654	29	21	other	other	ADJ
bitcs-7654	29	22	financial	financial	ADJ
bitcs-7654	29	23	issues	issue	NOUN
bitcs-7654	29	24	,	,	PUNCT
bitcs-7654	29	25	the	the	DET
bitcs-7654	29	26	health	health	NOUN
bitcs-7654	29	27	care	care	NOUN
bitcs-7654	29	28	equipment	equipment	NOUN
bitcs-7654	29	29	’s	’s	PART
bitcs-7654	29	30	and	and	CCONJ
bitcs-7654	29	31	other	other	ADJ
bitcs-7654	29	32	health	health	NOUN
bitcs-7654	29	33	facilities	facility	NOUN
bitcs-7654	29	34	are	be	AUX
bitcs-7654	29	35	also	also	ADV
bitcs-7654	29	36	limited	limit	VERB
bitcs-7654	29	37	in	in	ADP
bitcs-7654	29	38	these	these	DET
bitcs-7654	29	39	countries	country	NOUN
bitcs-7654	29	40	[	[	X
bitcs-7654	29	41	9	9	NUM
bitcs-7654	29	42	]	]	PUNCT
bitcs-7654	29	43	.	.	PUNCT
bitcs-7654	30	1	there	there	PRON
bitcs-7654	30	2	are	be	VERB
bitcs-7654	30	3	four	four	NUM
bitcs-7654	30	4	major	major	ADJ
bitcs-7654	30	5	methods	method	NOUN
bitcs-7654	30	6	that	that	PRON
bitcs-7654	30	7	are	be	AUX
bitcs-7654	30	8	used	use	VERB
bitcs-7654	30	9	now	now	ADV
bitcs-7654	30	10	a	a	DET
bitcs-7654	30	11	days	day	NOUN
bitcs-7654	30	12	for	for	ADP
bitcs-7654	30	13	heart	heart	NOUN
bitcs-7654	30	14	disease	disease	NOUN
bitcs-7654	30	15	diagnosis	diagnosis	NOUN
bitcs-7654	30	16	which	which	PRON
bitcs-7654	30	17	include	include	VERB
bitcs-7654	30	18	ecg	ecg	PROPN
bitcs-7654	30	19	,	,	PUNCT
bitcs-7654	30	20	test	test	NOUN
bitcs-7654	30	21	of	of	ADP
bitcs-7654	30	22	exercise	exercise	NOUN
bitcs-7654	30	23	stress	stress	NOUN
bitcs-7654	30	24	,	,	PUNCT
bitcs-7654	30	25	x	x	NOUN
bitcs-7654	30	26	rays	ray	NOUN
bitcs-7654	30	27	and	and	CCONJ
bitcs-7654	30	28	coronary	coronary	ADJ
bitcs-7654	30	29	angiograms	angiogram	NOUN
bitcs-7654	30	30	[	[	X
bitcs-7654	30	31	10	10	NUM
bitcs-7654	30	32	]	]	PUNCT
bitcs-7654	30	33	.	.	PUNCT
bitcs-7654	31	1	by	by	ADP
bitcs-7654	31	2	analyzing	analyze	VERB
bitcs-7654	31	3	different	different	ADJ
bitcs-7654	31	4	attributes	attribute	NOUN
bitcs-7654	31	5	now	now	ADV
bitcs-7654	31	6	it	it	PRON
bitcs-7654	31	7	is	be	AUX
bitcs-7654	31	8	possible	possible	ADJ
bitcs-7654	31	9	to	to	PART
bitcs-7654	31	10	predict	predict	VERB
bitcs-7654	31	11	the	the	DET
bitcs-7654	31	12	heart	heart	NOUN
bitcs-7654	31	13	store	store	VERB
bitcs-7654	31	14	timely	timely	ADV
bitcs-7654	31	15	these	these	DET
bitcs-7654	31	16	attributes	attribute	NOUN
bitcs-7654	31	17	include	include	VERB
bitcs-7654	31	18	blood	blood	NOUN
bitcs-7654	31	19	pressure	pressure	NOUN
bitcs-7654	31	20	,	,	PUNCT
bitcs-7654	31	21	cholesterol	cholesterol	NOUN
bitcs-7654	31	22	level	level	NOUN
bitcs-7654	31	23	,	,	PUNCT
bitcs-7654	31	24	age	age	NOUN
bitcs-7654	31	25	,	,	PUNCT
bitcs-7654	31	26	gender	gender	NOUN
bitcs-7654	31	27	,	,	PUNCT
bitcs-7654	31	28	smoking	smoking	NOUN
bitcs-7654	31	29	routine	routine	NOUN
bitcs-7654	31	30	etc	etc	X
bitcs-7654	31	31	.	.	PUNCT
bitcs-7654	32	1	the	the	DET
bitcs-7654	32	2	traditional	traditional	ADJ
bitcs-7654	32	3	method	method	NOUN
bitcs-7654	32	4	for	for	ADP
bitcs-7654	32	5	attribute	attribute	NOUN
bitcs-7654	32	6	analysis	analysis	NOUN
bitcs-7654	32	7	of	of	ADP
bitcs-7654	32	8	a	a	DET
bitcs-7654	32	9	patient	patient	NOUN
bitcs-7654	32	10	is	be	AUX
bitcs-7654	32	11	time	time	NOUN
bitcs-7654	32	12	consuming	consume	VERB
bitcs-7654	32	13	and	and	CCONJ
bitcs-7654	32	14	difficult	difficult	ADJ
bitcs-7654	32	15	.	.	PUNCT
bitcs-7654	33	1	now	now	ADV
bitcs-7654	33	2	a	a	DET
bitcs-7654	33	3	day	day	NOUN
bitcs-7654	33	4	’s	’s	PART
bitcs-7654	33	5	artificial	artificial	ADJ
bitcs-7654	33	6	intelligence	intelligence	NOUN
bitcs-7654	33	7	play	play	VERB
bitcs-7654	33	8	an	an	DET
bitcs-7654	33	9	important	important	ADJ
bitcs-7654	33	10	role	role	NOUN
bitcs-7654	33	11	in	in	ADP
bitcs-7654	33	12	health	health	NOUN
bitcs-7654	33	13	different	different	ADJ
bitcs-7654	33	14	machine	machine	NOUN
bitcs-7654	33	15	learning	learning	NOUN
bitcs-7654	33	16	and	and	CCONJ
bitcs-7654	33	17	deep	deep	ADJ
bitcs-7654	33	18	learning	learning	NOUN
bitcs-7654	33	19	algorithms	algorithm	NOUN
bitcs-7654	33	20	and	and	CCONJ
bitcs-7654	33	21	technologies	technology	NOUN
bitcs-7654	33	22	are	be	AUX
bitcs-7654	33	23	now	now	ADV
bitcs-7654	33	24	being	be	AUX
bitcs-7654	33	25	used	use	VERB
bitcs-7654	33	26	to	to	PART
bitcs-7654	33	27	overcome	overcome	VERB
bitcs-7654	33	28	the	the	DET
bitcs-7654	33	29	issues	issue	NOUN
bitcs-7654	33	30	of	of	ADP
bitcs-7654	33	31	previous	previous	ADJ
bitcs-7654	33	32	manual	manual	ADJ
bitcs-7654	33	33	methods	method	NOUN
bitcs-7654	33	34	.	.	PUNCT
bitcs-7654	34	1	in	in	ADP
bitcs-7654	34	2	heart	heart	NOUN
bitcs-7654	34	3	stroke	stroke	NOUN
bitcs-7654	34	4	prediction	prediction	NOUN
bitcs-7654	34	5	it	it	PRON
bitcs-7654	34	6	play	play	VERB
bitcs-7654	34	7	an	an	DET
bitcs-7654	34	8	important	important	ADJ
bitcs-7654	34	9	role	role	NOUN
bitcs-7654	34	10	.	.	PUNCT
bitcs-7654	35	1	by	by	ADP
bitcs-7654	35	2	using	use	VERB
bitcs-7654	35	3	different	different	ADJ
bitcs-7654	35	4	machine	machine	NOUN
bitcs-7654	35	5	learning	learn	VERB
bitcs-7654	35	6	algorithms	algorithm	NOUN
bitcs-7654	35	7	now	now	ADV
bitcs-7654	35	8	researcher	researcher	NOUN
bitcs-7654	35	9	make	make	VERB
bitcs-7654	35	10	heart	heart	NOUN
bitcs-7654	35	11	disease	disease	NOUN
bitcs-7654	35	12	prediction	prediction	NOUN
bitcs-7654	35	13	models	model	NOUN
bitcs-7654	35	14	that	that	PRON
bitcs-7654	35	15	are	be	AUX
bitcs-7654	35	16	cheaper	cheap	ADJ
bitcs-7654	35	17	and	and	CCONJ
bitcs-7654	35	18	more	more	ADV
bitcs-7654	35	19	flexible	flexible	ADJ
bitcs-7654	35	20	instead	instead	ADV
bitcs-7654	35	21	of	of	ADP
bitcs-7654	35	22	previous	previous	ADJ
bitcs-7654	35	23	techniques	technique	NOUN
bitcs-7654	35	24	[	[	X
bitcs-7654	35	25	11	11	NUM
bitcs-7654	35	26	]	]	PUNCT
bitcs-7654	35	27	,	,	PUNCT
bitcs-7654	35	28	[	[	X
bitcs-7654	35	29	12	12	NUM
bitcs-7654	35	30	]	]	PUNCT
bitcs-7654	35	31	,	,	PUNCT
bitcs-7654	35	32	[	[	X
bitcs-7654	35	33	13	13	NUM
bitcs-7654	35	34	]	]	PUNCT
bitcs-7654	35	35	.	.	PUNCT
bitcs-7654	36	1	in	in	ADP
bitcs-7654	36	2	this	this	DET
bitcs-7654	36	3	prospectus	prospectus	NOUN
bitcs-7654	36	4	several	several	ADJ
bitcs-7654	36	5	machine	machine	NOUN
bitcs-7654	36	6	learning	learning	NOUN
bitcs-7654	36	7	approaches	approach	NOUN
bitcs-7654	36	8	using	use	VERB
bitcs-7654	36	9	heart	heart	NOUN
bitcs-7654	36	10	disease	disease	NOUN
bitcs-7654	36	11	data	datum	NOUN
bitcs-7654	36	12	sets	set	NOUN
bitcs-7654	36	13	for	for	ADP
bitcs-7654	36	14	training	training	NOUN
bitcs-7654	36	15	and	and	CCONJ
bitcs-7654	36	16	testing	test	VERB
bitcs-7654	36	17	the	the	DET
bitcs-7654	36	18	particular	particular	ADJ
bitcs-7654	36	19	model	model	NOUN
bitcs-7654	37	1	[	[	X
bitcs-7654	37	2	14	14	NUM
bitcs-7654	37	3	]	]	PUNCT
bitcs-7654	37	4	,	,	PUNCT
bitcs-7654	37	5	[	[	X
bitcs-7654	37	6	15	15	NUM
bitcs-7654	37	7	]	]	NUM
bitcs-7654	37	8	,	,	PUNCT
bitcs-7654	37	9	,	,	PUNCT
bitcs-7654	37	10	decision	decision	NOUN
bitcs-7654	37	11	tree	tree	NOUN
bitcs-7654	37	12	(	(	PUNCT
bitcs-7654	37	13	al	al	PROPN
bitcs-7654	37	14	-	-	PUNCT
bitcs-7654	37	15	qazzaz	qazzaz	PROPN
bitcs-7654	37	16	,	,	PUNCT
bitcs-7654	37	17	mohammed	mohammed	PROPN
bitcs-7654	37	18	et	et	PROPN
bitcs-7654	37	19	al	al	PROPN
bitcs-7654	37	20	.	.	PROPN
bitcs-7654	37	21	2023	2023	NUM
bitcs-7654	37	22	)	)	PUNCT
bitcs-7654	37	23	,	,	PUNCT
bitcs-7654	37	24	support	support	NOUN
bitcs-7654	37	25	vector	vector	NOUN
bitcs-7654	37	26	machine	machine	NOUN
bitcs-7654	37	27	are	be	AUX
bitcs-7654	37	28	introduced	introduce	VERB
bitcs-7654	37	29	by	by	ADP
bitcs-7654	37	30	the	the	DET
bitcs-7654	37	31	researchers	researcher	NOUN
bitcs-7654	37	32	(	(	PUNCT
bitcs-7654	37	33	javeed	javeed	NOUN
bitcs-7654	37	34	,	,	PUNCT
bitcs-7654	37	35	rizvi	rizvi	PROPN
bitcs-7654	37	36	et	et	PROPN
bitcs-7654	37	37	al	al	PROPN
bitcs-7654	37	38	.	.	PROPN
bitcs-7654	38	1	2020)to	2020)to	NUM
bitcs-7654	38	2	predict	predict	VERB
bitcs-7654	38	3	heart	heart	NOUN
bitcs-7654	38	4	disease	disease	NOUN
bitcs-7654	38	5	.	.	PUNCT
bitcs-7654	39	1	now	now	ADV
bitcs-7654	39	2	by	by	ADP
bitcs-7654	39	3	using	use	VERB
bitcs-7654	39	4	these	these	DET
bitcs-7654	39	5	models	model	NOUN
bitcs-7654	39	6	this	this	PRON
bitcs-7654	39	7	become	become	VERB
bitcs-7654	39	8	very	very	ADV
bitcs-7654	39	9	easy	easy	ADJ
bitcs-7654	39	10	to	to	PART
bitcs-7654	39	11	predict	predict	VERB
bitcs-7654	39	12	heart	heart	NOUN
bitcs-7654	39	13	disease	disease	NOUN
bitcs-7654	39	14	timely	timely	ADV
bitcs-7654	39	15	.	.	PUNCT
bitcs-7654	40	1	recent	recent	ADJ
bitcs-7654	40	2	technology	technology	NOUN
bitcs-7654	40	3	off	off	ADP
bitcs-7654	40	4	deep	deep	ADJ
bitcs-7654	40	5	learning	learning	NOUN
bitcs-7654	40	6	enhances	enhance	VERB
bitcs-7654	40	7	this	this	DET
bitcs-7654	40	8	field	field	NOUN
bitcs-7654	40	9	and	and	CCONJ
bitcs-7654	40	10	increase	increase	VERB
bitcs-7654	40	11	the	the	DET
bitcs-7654	40	12	accuracy	accuracy	NOUN
bitcs-7654	40	13	[	[	X
bitcs-7654	40	14	15	15	NUM
bitcs-7654	40	15	]	]	PUNCT
bitcs-7654	40	16	.	.	PUNCT
bitcs-7654	41	1	ii	ii	PROPN
bitcs-7654	41	2	.	.	PUNCT
bitcs-7654	42	1	methods	method	NOUN
bitcs-7654	42	2	researchers	researcher	NOUN
bitcs-7654	42	3	present	present	VERB
bitcs-7654	42	4	eight	eight	NUM
bitcs-7654	42	5	different	different	ADJ
bitcs-7654	42	6	type	type	NOUN
bitcs-7654	42	7	of	of	ADP
bitcs-7654	42	8	machine	machine	NOUN
bitcs-7654	42	9	learning	learning	NOUN
bitcs-7654	42	10	models	model	NOUN
bitcs-7654	42	11	to	to	PART
bitcs-7654	42	12	predict	predict	VERB
bitcs-7654	42	13	the	the	DET
bitcs-7654	42	14	heart	heart	NOUN
bitcs-7654	42	15	disease	disease	NOUN
bitcs-7654	42	16	.	.	PUNCT
bitcs-7654	43	1	the	the	DET
bitcs-7654	43	2	models	model	NOUN
bitcs-7654	43	3	that	that	PRON
bitcs-7654	43	4	they	they	PRON
bitcs-7654	43	5	use	use	VERB
bitcs-7654	43	6	for	for	ADP
bitcs-7654	43	7	classification	classification	NOUN
bitcs-7654	43	8	are	be	AUX
bitcs-7654	43	9	decision	decision	NOUN
bitcs-7654	43	10	tree	tree	NOUN
bitcs-7654	43	11	,	,	PUNCT
bitcs-7654	43	12	svm	svm	PROPN
bitcs-7654	43	13	,	,	PUNCT
bitcs-7654	43	14	xg	xg	PROPN
bitcs-7654	43	15	boost	boost	PROPN
bitcs-7654	43	16	algorithm	algorithm	NOUN
bitcs-7654	43	17	,	,	PUNCT
bitcs-7654	43	18	multinomial	multinomial	ADJ
bitcs-7654	43	19	naive	naive	ADJ
bitcs-7654	43	20	bayes	bayes	NOUN
bitcs-7654	43	21	algorithm	algorithm	NOUN
bitcs-7654	43	22	,	,	PUNCT
bitcs-7654	43	23	extra	extra	ADJ
bitcs-7654	43	24	tree	tree	NOUN
bitcs-7654	43	25	algorithm	algorithm	NOUN
bitcs-7654	43	26	,	,	PUNCT
bitcs-7654	43	27	logistic	logistic	ADJ
bitcs-7654	43	28	regression	regression	NOUN
bitcs-7654	43	29	,	,	PUNCT
bitcs-7654	43	30	adaboost	adaboost	ADJ
bitcs-7654	43	31	and	and	CCONJ
bitcs-7654	43	32	linear	linear	ADJ
bitcs-7654	43	33	discriminant	discriminant	ADJ
bitcs-7654	43	34	analysis	analysis	NOUN
bitcs-7654	43	35	algorithm	algorithm	NOUN
bitcs-7654	43	36	.	.	PUNCT
bitcs-7654	44	1	there	there	PRON
bitcs-7654	44	2	method	method	NOUN
bitcs-7654	44	3	involves	involve	VERB
bitcs-7654	44	4	five	five	NUM
bitcs-7654	44	5	steps	step	NOUN
bitcs-7654	44	6	,	,	PUNCT
bitcs-7654	44	7	in	in	ADP
bitcs-7654	44	8	step	step	NOUN
bitcs-7654	44	9	one	one	NUM
bitcs-7654	44	10	they	they	PRON
bitcs-7654	44	11	get	get	VERB
bitcs-7654	44	12	data	data	NOUN
bitcs-7654	44	13	sets	set	NOUN
bitcs-7654	44	14	form	form	VERB
bitcs-7654	44	15	different	different	ADJ
bitcs-7654	44	16	online	online	ADJ
bitcs-7654	44	17	data	datum	NOUN
bitcs-7654	44	18	set	set	VERB
bitcs-7654	44	19	collections	collection	NOUN
bitcs-7654	44	20	,	,	PUNCT
bitcs-7654	44	21	and	and	CCONJ
bitcs-7654	44	22	secondly	secondly	ADV
bitcs-7654	44	23	,	,	PUNCT
bitcs-7654	44	24	they	they	PRON
bitcs-7654	44	25	process	process	VERB
bitcs-7654	44	26	the	the	DET
bitcs-7654	44	27	data	datum	NOUN
bitcs-7654	44	28	by	by	ADP
bitcs-7654	44	29	refining	refining	NOUN
bitcs-7654	44	30	and	and	CCONJ
bitcs-7654	44	31	standardization	standardization	NOUN
bitcs-7654	44	32	,	,	PUNCT
bitcs-7654	44	33	the	the	DET
bitcs-7654	44	34	third	third	ADJ
bitcs-7654	44	35	step	step	NOUN
bitcs-7654	44	36	was	be	AUX
bitcs-7654	44	37	hyper	hyper	ADJ
bitcs-7654	44	38	parameter	parameter	NOUN
bitcs-7654	44	39	tuning	tune	VERB
bitcs-7654	44	40	to	to	PART
bitcs-7654	44	41	get	get	VERB
bitcs-7654	44	42	height	height	NOUN
bitcs-7654	44	43	accuracy	accuracy	NOUN
bitcs-7654	44	44	by	by	ADP
bitcs-7654	44	45	achieving	achieve	VERB
bitcs-7654	44	46	hyper	hyper	ADJ
bitcs-7654	44	47	parameters	parameter	NOUN
bitcs-7654	44	48	best	good	ADJ
bitcs-7654	44	49	value	value	NOUN
bitcs-7654	44	50	.	.	PUNCT
bitcs-7654	45	1	in	in	ADP
bitcs-7654	45	2	step	step	NOUN
bitcs-7654	45	3	four	four	NUM
bitcs-7654	45	4	they	they	PRON
bitcs-7654	45	5	apply	apply	VERB
bitcs-7654	45	6	ml	ml	ADP
bitcs-7654	45	7	algorithm	algorithm	NOUN
bitcs-7654	45	8	to	to	PART
bitcs-7654	45	9	classify	classify	VERB
bitcs-7654	45	10	.	.	PUNCT
bitcs-7654	46	1	in	in	ADP
bitcs-7654	46	2	this	this	DET
bitcs-7654	46	3	study	study	NOUN
bitcs-7654	46	4	the	the	DET
bitcs-7654	46	5	results	result	NOUN
bitcs-7654	46	6	shows	show	VERB
bitcs-7654	46	7	that	that	SCONJ
bitcs-7654	46	8	the	the	DET
bitcs-7654	46	9	accuracy	accuracy	NOUN
bitcs-7654	46	10	is	be	AUX
bitcs-7654	46	11	increased	increase	VERB
bitcs-7654	46	12	by	by	ADP
bitcs-7654	46	13	using	use	VERB
bitcs-7654	46	14	standardization	standardization	NOUN
bitcs-7654	46	15	of	of	ADP
bitcs-7654	46	16	data	datum	NOUN
bitcs-7654	46	17	set	set	VERB
bitcs-7654	46	18	,	,	PUNCT
bitcs-7654	46	19	in	in	ADP
bitcs-7654	46	20	this	this	DET
bitcs-7654	46	21	study	study	NOUN
bitcs-7654	46	22	the	the	DET
bitcs-7654	46	23	accuracy	accuracy	NOUN
bitcs-7654	46	24	of	of	ADP
bitcs-7654	46	25	different	different	ADJ
bitcs-7654	46	26	classifier	classifier	NOUN
bitcs-7654	46	27	is	be	AUX
bitcs-7654	46	28	improved	improve	VERB
bitcs-7654	46	29	up	up	ADP
bitcs-7654	46	30	to	to	PART
bitcs-7654	46	31	8.7	8.7	NUM
bitcs-7654	46	32	percent	percent	NOUN
bitcs-7654	46	33	by	by	ADP
bitcs-7654	46	34	standardization	standardization	NOUN
bitcs-7654	46	35	the	the	DET
bitcs-7654	46	36	data	data	NOUN
bitcs-7654	46	37	sets	set	VERB
bitcs-7654	46	38	.	.	PUNCT
bitcs-7654	47	1	the	the	DET
bitcs-7654	47	2	overall	overall	ADJ
bitcs-7654	47	3	results	result	NOUN
bitcs-7654	47	4	support	support	VERB
bitcs-7654	47	5	vector	vector	NOUN
bitcs-7654	47	6	machine	machine	NOUN
bitcs-7654	47	7	classifier	classifier	NOUN
bitcs-7654	47	8	results	result	NOUN
bitcs-7654	47	9	was	be	AUX
bitcs-7654	47	10	best	good	ADJ
bitcs-7654	47	11	form	form	NOUN
bitcs-7654	47	12	all	all	DET
bitcs-7654	47	13	other	other	ADJ
bitcs-7654	47	14	classifier	classifier	NOUN
bitcs-7654	47	15	and	and	CCONJ
bitcs-7654	47	16	it	it	PRON
bitcs-7654	47	17	attain	attain	VERB
bitcs-7654	47	18	accuracy	accuracy	NOUN
bitcs-7654	47	19	of	of	ADP
bitcs-7654	47	20	96.72	96.72	NUM
bitcs-7654	47	21	%	%	NOUN
bitcs-7654	48	1	[	[	X
bitcs-7654	48	2	16	16	NUM
bitcs-7654	48	3	]	]	PUNCT
bitcs-7654	48	4	.	.	PUNCT
bitcs-7654	49	1	the	the	DET
bitcs-7654	49	2	authors	author	NOUN
bitcs-7654	49	3	use	use	VERB
bitcs-7654	49	4	different	different	ADJ
bitcs-7654	49	5	ml	ml	NOUN
bitcs-7654	49	6	algorithm	algorithm	NOUN
bitcs-7654	49	7	to	to	PART
bitcs-7654	49	8	predict	predict	VERB
bitcs-7654	49	9	heart	heart	NOUN
bitcs-7654	49	10	disease	disease	NOUN
bitcs-7654	49	11	the	the	DET
bitcs-7654	49	12	algorithms	algorithm	NOUN
bitcs-7654	49	13	include	include	VERB
bitcs-7654	49	14	support	support	NOUN
bitcs-7654	49	15	vector	vector	NOUN
bitcs-7654	49	16	machine	machine	NOUN
bitcs-7654	49	17	,	,	PUNCT
bitcs-7654	49	18	lr	lr	NOUN
bitcs-7654	49	19	,	,	PUNCT
bitcs-7654	49	20	gbc	gbc	PROPN
bitcs-7654	49	21	and	and	CCONJ
bitcs-7654	49	22	knn	knn	PROPN
bitcs-7654	49	23	.	.	PUNCT
bitcs-7654	50	1	the	the	DET
bitcs-7654	50	2	use	use	NOUN
bitcs-7654	50	3	grid	grid	NOUN
bitcs-7654	50	4	search	search	NOUN
bitcs-7654	50	5	cv	cv	PROPN
bitcs-7654	50	6	with	with	ADP
bitcs-7654	50	7	these	these	DET
bitcs-7654	50	8	algorithms	algorithm	NOUN
bitcs-7654	50	9	.	.	PUNCT
bitcs-7654	51	1	they	they	PRON
bitcs-7654	51	2	use	use	VERB
bitcs-7654	51	3	datasets	dataset	NOUN
bitcs-7654	51	4	form	form	VERB
bitcs-7654	51	5	different	different	ADJ
bitcs-7654	51	6	source	source	NOUN
bitcs-7654	51	7	include	include	VERB
bitcs-7654	51	8	beach	beach	PROPN
bitcs-7654	51	9	v	v	PROPN
bitcs-7654	51	10	uci	uci	PROPN
bitcs-7654	51	11	kaggle	kaggle	PROPN
bitcs-7654	51	12	etc	etc	X
bitcs-7654	51	13	.	.	PUNCT
bitcs-7654	52	1	the	the	DET
bitcs-7654	52	2	results	result	NOUN
bitcs-7654	52	3	of	of	ADP
bitcs-7654	52	4	the	the	DET
bitcs-7654	52	5	study	study	NOUN
bitcs-7654	52	6	shows	show	VERB
bitcs-7654	52	7	that	that	SCONJ
bitcs-7654	52	8	the	the	DET
bitcs-7654	52	9	extreme	extreme	ADJ
bitcs-7654	52	10	gradient	gradient	NOUN
bitcs-7654	52	11	boosting	boost	VERB
bitcs-7654	52	12	algorithm	algorithm	NOUN
bitcs-7654	52	13	along	along	ADP
bitcs-7654	52	14	with	with	ADP
bitcs-7654	52	15	grid	grid	NOUN
bitcs-7654	52	16	search	search	NOUN
bitcs-7654	52	17	cv	cv	PROPN
bitcs-7654	52	18	provide	provide	VERB
bitcs-7654	52	19	a	a	DET
bitcs-7654	52	20	best	good	ADJ
bitcs-7654	52	21	accuracy	accuracy	NOUN
bitcs-7654	52	22	for	for	ADP
bitcs-7654	52	23	both	both	DET
bitcs-7654	52	24	testing	testing	NOUN
bitcs-7654	52	25	and	and	CCONJ
bitcs-7654	52	26	training	training	NOUN
bitcs-7654	52	27	.	.	PUNCT
bitcs-7654	53	1	the	the	DET
bitcs-7654	53	2	testing	testing	NOUN
bitcs-7654	53	3	and	and	CCONJ
bitcs-7654	53	4	training	training	NOUN
bitcs-7654	53	5	results	result	NOUN
bitcs-7654	53	6	was	be	AUX
bitcs-7654	53	7	very	very	ADV
bitcs-7654	53	8	good	good	ADJ
bitcs-7654	53	9	100	100	NUM
bitcs-7654	53	10	%	%	NOUN
bitcs-7654	53	11	and	and	CCONJ
bitcs-7654	53	12	99	99	NUM
bitcs-7654	53	13	%	%	NOUN
bitcs-7654	53	14	.	.	PUNCT
bitcs-7654	54	1	the	the	DET
bitcs-7654	54	2	study	study	NOUN
bitcs-7654	54	3	also	also	ADV
bitcs-7654	54	4	highlights	highlight	VERB
bitcs-7654	54	5	that	that	SCONJ
bitcs-7654	54	6	using	use	VERB
bitcs-7654	54	7	of	of	ADP
bitcs-7654	54	8	optimal	optimal	ADJ
bitcs-7654	54	9	hyper	hyper	ADJ
bitcs-7654	54	10	parameter	parameter	NOUN
bitcs-7654	54	11	can	can	AUX
bitcs-7654	54	12	enhance	enhance	VERB
bitcs-7654	54	13	the	the	DET
bitcs-7654	54	14	performance	performance	NOUN
bitcs-7654	54	15	of	of	ADP
bitcs-7654	54	16	the	the	DET
bitcs-7654	54	17	algorithms	algorithm	NOUN
bitcs-7654	54	18	[	[	X
bitcs-7654	54	19	17	17	NUM
bitcs-7654	54	20	]	]	PUNCT
bitcs-7654	54	21	.	.	PUNCT
bitcs-7654	55	1	this	this	DET
bitcs-7654	55	2	paper	paper	NOUN
bitcs-7654	55	3	present	present	VERB
bitcs-7654	55	4	different	different	ADJ
bitcs-7654	55	5	type	type	NOUN
bitcs-7654	55	6	of	of	ADP
bitcs-7654	55	7	machine	machine	NOUN
bitcs-7654	55	8	learning	learn	VERB
bitcs-7654	55	9	algorithms	algorithm	NOUN
bitcs-7654	55	10	with	with	ADP
bitcs-7654	55	11	feature	feature	NOUN
bitcs-7654	55	12	selection	selection	NOUN
bitcs-7654	55	13	algorithm	algorithm	NOUN
bitcs-7654	55	14	to	to	PART
bitcs-7654	55	15	predict	predict	VERB
bitcs-7654	55	16	the	the	DET
bitcs-7654	55	17	heart	heart	NOUN
bitcs-7654	55	18	disease	disease	NOUN
bitcs-7654	55	19	.	.	PUNCT
bitcs-7654	56	1	the	the	DET
bitcs-7654	56	2	algorithms	algorithm	NOUN
bitcs-7654	56	3	that	that	PRON
bitcs-7654	56	4	are	be	AUX
bitcs-7654	56	5	used	use	VERB
bitcs-7654	56	6	are	be	AUX
bitcs-7654	56	7	knn	knn	PROPN
bitcs-7654	56	8	,	,	PUNCT
bitcs-7654	56	9	support	support	VERB
bitcs-7654	56	10	vector	vector	NOUN
bitcs-7654	56	11	machine	machine	NOUN
bitcs-7654	56	12	,	,	PUNCT
bitcs-7654	56	13	ld	ld	PROPN
bitcs-7654	56	14	,	,	PUNCT
bitcs-7654	56	15	gbc	gbc	PROPN
bitcs-7654	56	16	rf	rf	NUM
bitcs-7654	56	17	and	and	CCONJ
bitcs-7654	56	18	dt	dt	PROPN
bitcs-7654	56	19	,	,	PUNCT
bitcs-7654	56	20	the	the	DET
bitcs-7654	56	21	algorithm	algorithm	NOUN
bitcs-7654	56	22	that	that	PRON
bitcs-7654	56	23	are	be	AUX
bitcs-7654	56	24	used	use	VERB
bitcs-7654	56	25	for	for	ADP
bitcs-7654	56	26	feature	feature	NOUN
bitcs-7654	56	27	selection	selection	NOUN
bitcs-7654	56	28	is	be	AUX
bitcs-7654	56	29	sequential	sequential	ADJ
bitcs-7654	56	30	feature	feature	NOUN
bitcs-7654	56	31	selection	selection	NOUN
bitcs-7654	56	32	.	.	PUNCT
bitcs-7654	57	1	the	the	DET
bitcs-7654	57	2	results	result	NOUN
bitcs-7654	57	3	of	of	ADP
bitcs-7654	57	4	the	the	DET
bitcs-7654	57	5	study	study	NOUN
bitcs-7654	57	6	shows	show	VERB
bitcs-7654	57	7	that	that	SCONJ
bitcs-7654	57	8	the	the	DET
bitcs-7654	57	9	random	random	ADJ
bitcs-7654	57	10	forest	forest	NOUN
bitcs-7654	57	11	and	and	CCONJ
bitcs-7654	57	12	decision	decision	NOUN
bitcs-7654	57	13	tree	tree	NOUN
bitcs-7654	57	14	provide	provide	VERB
bitcs-7654	57	15	more	more	ADV
bitcs-7654	57	16	accurate	accurate	ADJ
bitcs-7654	57	17	results	result	NOUN
bitcs-7654	57	18	then	then	ADV
bitcs-7654	57	19	others	other	VERB
bitcs-7654	57	20	the	the	DET
bitcs-7654	57	21	results	result	NOUN
bitcs-7654	57	22	were	be	AUX
bitcs-7654	57	23	respectively	respectively	ADV
bitcs-7654	57	24	100	100	NUM
bitcs-7654	57	25	%	%	NOUN
bitcs-7654	57	26	and	and	CCONJ
bitcs-7654	57	27	99	99	NUM
bitcs-7654	57	28	%	%	NOUN
bitcs-7654	57	29	.	.	PUNCT
bitcs-7654	58	1	the	the	DET
bitcs-7654	58	2	study	study	NOUN
bitcs-7654	58	3	also	also	ADV
bitcs-7654	58	4	illustrates	illustrate	VERB
bitcs-7654	58	5	that	that	SCONJ
bitcs-7654	58	6	by	by	ADP
bitcs-7654	58	7	using	use	VERB
bitcs-7654	58	8	feature	feature	NOUN
bitcs-7654	58	9	selection	selection	NOUN
bitcs-7654	58	10	technique	technique	NOUN
bitcs-7654	58	11	the	the	DET
bitcs-7654	58	12	accuracy	accuracy	NOUN
bitcs-7654	58	13	of	of	ADP
bitcs-7654	58	14	algorithms	algorithm	NOUN
bitcs-7654	58	15	can	can	AUX
bitcs-7654	58	16	be	be	AUX
bitcs-7654	58	17	enhance	enhance	VERB
bitcs-7654	58	18	[	[	X
bitcs-7654	58	19	18	18	NUM
bitcs-7654	58	20	]	]	PUNCT
bitcs-7654	58	21	.	.	PUNCT
bitcs-7654	59	1	in	in	ADP
bitcs-7654	59	2	this	this	DET
bitcs-7654	59	3	research	research	NOUN
bitcs-7654	59	4	paper	paper	NOUN
bitcs-7654	59	5	the	the	DET
bitcs-7654	59	6	researcher	researcher	NOUN
bitcs-7654	59	7	combines	combine	VERB
bitcs-7654	59	8	two	two	NUM
bitcs-7654	59	9	different	different	ADJ
bitcs-7654	59	10	types	type	NOUN
bitcs-7654	59	11	of	of	ADP
bitcs-7654	59	12	algorithms	algorithm	NOUN
bitcs-7654	59	13	to	to	PART
bitcs-7654	59	14	propose	propose	VERB
bitcs-7654	59	15	a	a	DET
bitcs-7654	59	16	model	model	NOUN
bitcs-7654	59	17	for	for	ADP
bitcs-7654	59	18	prediction	prediction	NOUN
bitcs-7654	59	19	of	of	ADP
bitcs-7654	59	20	heart	heart	NOUN
bitcs-7654	59	21	disease	disease	NOUN
bitcs-7654	59	22	,	,	PUNCT
bitcs-7654	59	23	the	the	DET
bitcs-7654	59	24	algorithms	algorithm	NOUN
bitcs-7654	59	25	that	that	PRON
bitcs-7654	59	26	they	they	PRON
bitcs-7654	59	27	combine	combine	VERB
bitcs-7654	59	28	is	be	AUX
bitcs-7654	59	29	random	random	ADJ
bitcs-7654	59	30	-	-	PUNCT
bitcs-7654	59	31	forest	forest	NOUN
bitcs-7654	59	32	&	&	CCONJ
bitcs-7654	59	33	svm	svm	PROPN
bitcs-7654	59	34	.	.	PUNCT
bitcs-7654	60	1	the	the	DET
bitcs-7654	60	2	main	main	ADJ
bitcs-7654	60	3	objective	objective	NOUN
bitcs-7654	60	4	to	to	PART
bitcs-7654	60	5	combine	combine	VERB
bitcs-7654	60	6	these	these	DET
bitcs-7654	60	7	algorithms	algorithm	NOUN
bitcs-7654	60	8	was	be	AUX
bitcs-7654	60	9	to	to	PART
bitcs-7654	60	10	eliminate	eliminate	VERB
bitcs-7654	60	11	the	the	DET
bitcs-7654	60	12	iterative	iterative	ADJ
bitcs-7654	60	13	feature	feature	NOUN
bitcs-7654	60	14	for	for	ADP
bitcs-7654	60	15	selecting	select	VERB
bitcs-7654	60	16	the	the	DET
bitcs-7654	60	17	features	feature	NOUN
bitcs-7654	60	18	for	for	ADP
bitcs-7654	60	19	the	the	DET
bitcs-7654	60	20	disease	disease	NOUN
bitcs-7654	60	21	.	.	PUNCT
bitcs-7654	61	1	this	this	PRON
bitcs-7654	61	2	was	be	AUX
bitcs-7654	61	3	done	do	VERB
bitcs-7654	61	4	to	to	PART
bitcs-7654	61	5	increase	increase	VERB
bitcs-7654	61	6	the	the	DET
bitcs-7654	61	7	accuracy	accuracy	NOUN
bitcs-7654	61	8	of	of	ADP
bitcs-7654	61	9	svm	svm	ADJ
bitcs-7654	61	10	algorithm	algorithm	NOUN
bitcs-7654	61	11	for	for	ADP
bitcs-7654	61	12	diseases	disease	NOUN
bitcs-7654	61	13	prediction	prediction	NOUN
bitcs-7654	61	14	.	.	PUNCT
bitcs-7654	62	1	the	the	DET
bitcs-7654	62	2	vol	vol	NOUN
bitcs-7654	62	3	.	.	PROPN
bitcs-7654	62	4	6	6	NUM
bitcs-7654	62	5	,	,	PUNCT
bitcs-7654	62	6	no.1	no.1	NUM
bitcs-7654	62	7	,	,	PUNCT
bitcs-7654	62	8	january	january	PROPN
bitcs-7654	62	9	2025	2025	NUM
bitcs-7654	62	10	|	|	ADV
bitcs-7654	62	11	48	48	NUM
bitcs-7654	62	12	results	result	NOUN
bitcs-7654	62	13	of	of	ADP
bitcs-7654	62	14	this	this	DET
bitcs-7654	62	15	research	research	NOUN
bitcs-7654	62	16	show	show	VERB
bitcs-7654	62	17	that	that	SCONJ
bitcs-7654	62	18	the	the	DET
bitcs-7654	62	19	hybrid	hybrid	NOUN
bitcs-7654	62	20	model	model	NOUN
bitcs-7654	62	21	that	that	PRON
bitcs-7654	62	22	they	they	PRON
bitcs-7654	62	23	purpose	purpose	VERB
bitcs-7654	62	24	gave	give	VERB
bitcs-7654	62	25	more	more	ADJ
bitcs-7654	62	26	accuracy	accuracy	NOUN
bitcs-7654	62	27	than	than	ADP
bitcs-7654	62	28	the	the	DET
bitcs-7654	62	29	accuracy	accuracy	NOUN
bitcs-7654	62	30	of	of	ADP
bitcs-7654	62	31	individual	individual	ADJ
bitcs-7654	62	32	algorithm	algorithm	NOUN
bitcs-7654	62	33	support	support	NOUN
bitcs-7654	62	34	vector	vector	NOUN
bitcs-7654	62	35	machine	machine	NOUN
bitcs-7654	62	36	and	and	CCONJ
bitcs-7654	62	37	random	random	ADJ
bitcs-7654	62	38	forest	forest	NOUN
bitcs-7654	63	1	[	[	X
bitcs-7654	63	2	19	19	NUM
bitcs-7654	63	3	]	]	PUNCT
bitcs-7654	63	4	.	.	PUNCT
bitcs-7654	64	1	in	in	ADP
bitcs-7654	64	2	this	this	DET
bitcs-7654	64	3	research	research	NOUN
bitcs-7654	64	4	the	the	DET
bitcs-7654	64	5	researcher	researcher	NOUN
bitcs-7654	64	6	uses	use	VERB
bitcs-7654	64	7	different	different	ADJ
bitcs-7654	64	8	machine	machine	NOUN
bitcs-7654	64	9	learning	learn	VERB
bitcs-7654	64	10	techniques	technique	NOUN
bitcs-7654	64	11	to	to	PART
bitcs-7654	64	12	predict	predict	VERB
bitcs-7654	64	13	heart	heart	NOUN
bitcs-7654	64	14	disease	disease	NOUN
bitcs-7654	64	15	,	,	PUNCT
bitcs-7654	64	16	they	they	PRON
bitcs-7654	64	17	use	use	VERB
bitcs-7654	64	18	k	k	ADJ
bitcs-7654	64	19	-	-	PUNCT
bitcs-7654	64	20	nearest	near	ADJ
bitcs-7654	64	21	neighbor	neighbor	NOUN
bitcs-7654	64	22	,	,	PUNCT
bitcs-7654	64	23	rf	rf	ADJ
bitcs-7654	64	24	,	,	PUNCT
bitcs-7654	64	25	svm	svm	ADJ
bitcs-7654	64	26	and	and	CCONJ
bitcs-7654	64	27	multi	multi	ADJ
bitcs-7654	64	28	-	-	ADJ
bitcs-7654	64	29	layer	layer	ADJ
bitcs-7654	64	30	perceptron	perceptron	NOUN
bitcs-7654	64	31	to	to	PART
bitcs-7654	64	32	attain	attain	VERB
bitcs-7654	64	33	their	their	PRON
bitcs-7654	64	34	objective	objective	NOUN
bitcs-7654	64	35	of	of	ADP
bitcs-7654	64	36	predicting	predict	VERB
bitcs-7654	64	37	heart	heart	NOUN
bitcs-7654	64	38	disease	disease	NOUN
bitcs-7654	64	39	.	.	PUNCT
bitcs-7654	65	1	the	the	DET
bitcs-7654	65	2	use	use	VERB
bitcs-7654	65	3	different	different	ADJ
bitcs-7654	65	4	type	type	NOUN
bitcs-7654	65	5	of	of	ADP
bitcs-7654	65	6	techniques	technique	NOUN
bitcs-7654	65	7	such	such	ADJ
bitcs-7654	65	8	as	as	ADP
bitcs-7654	65	9	evaluators	evaluator	NOUN
bitcs-7654	65	10	of	of	ADP
bitcs-7654	65	11	attribute	attribute	NOUN
bitcs-7654	65	12	,	,	PUNCT
bitcs-7654	65	13	feature	feature	NOUN
bitcs-7654	65	14	elimination	elimination	NOUN
bitcs-7654	65	15	and	and	CCONJ
bitcs-7654	65	16	outlier	outlier	NOUN
bitcs-7654	65	17	removal	removal	NOUN
bitcs-7654	65	18	to	to	PART
bitcs-7654	65	19	increase	increase	VERB
bitcs-7654	65	20	the	the	DET
bitcs-7654	65	21	overall	overall	ADJ
bitcs-7654	65	22	performance	performance	NOUN
bitcs-7654	65	23	of	of	ADP
bitcs-7654	65	24	these	these	DET
bitcs-7654	65	25	algorithms	algorithm	NOUN
bitcs-7654	65	26	.	.	PUNCT
bitcs-7654	66	1	they	they	PRON
bitcs-7654	66	2	use	use	VERB
bitcs-7654	66	3	data	datum	NOUN
bitcs-7654	66	4	sets	set	NOUN
bitcs-7654	66	5	for	for	ADP
bitcs-7654	66	6	this	this	DET
bitcs-7654	66	7	purpose	purpose	NOUN
bitcs-7654	66	8	from	from	ADP
bitcs-7654	66	9	different	different	ADJ
bitcs-7654	66	10	sources	source	NOUN
bitcs-7654	66	11	like	like	ADP
bitcs-7654	66	12	cleveland	cleveland	PROPN
bitcs-7654	66	13	,	,	PUNCT
bitcs-7654	66	14	long	long	ADJ
bitcs-7654	66	15	beach	beach	PROPN
bitcs-7654	66	16	v	v	PROPN
bitcs-7654	66	17	and	and	CCONJ
bitcs-7654	66	18	uci	uci	PROPN
bitcs-7654	66	19	kaggle	kaggle	PROPN
bitcs-7654	66	20	for	for	ADP
bitcs-7654	66	21	their	their	PRON
bitcs-7654	66	22	model	model	NOUN
bitcs-7654	66	23	.	.	PUNCT
bitcs-7654	67	1	the	the	DET
bitcs-7654	67	2	result	result	NOUN
bitcs-7654	67	3	of	of	ADP
bitcs-7654	67	4	the	the	DET
bitcs-7654	67	5	heart	heart	NOUN
bitcs-7654	67	6	disease	disease	NOUN
bitcs-7654	67	7	prediction	prediction	NOUN
bitcs-7654	67	8	of	of	ADP
bitcs-7654	67	9	this	this	DET
bitcs-7654	67	10	model	model	NOUN
bitcs-7654	67	11	was	be	AUX
bitcs-7654	67	12	82.47	82.47	NUM
bitcs-7654	67	13	to	to	PART
bitcs-7654	67	14	100	100	NUM
bitcs-7654	67	15	percent	percent	NOUN
bitcs-7654	67	16	[	[	X
bitcs-7654	67	17	20	20	NUM
bitcs-7654	67	18	]	]	PUNCT
bitcs-7654	67	19	.	.	PUNCT
bitcs-7654	68	1	the	the	DET
bitcs-7654	68	2	author	author	NOUN
bitcs-7654	68	3	presents	present	VERB
bitcs-7654	68	4	a	a	DET
bitcs-7654	68	5	new	new	ADJ
bitcs-7654	68	6	hybrid	hybrid	ADJ
bitcs-7654	68	7	approach	approach	NOUN
bitcs-7654	68	8	to	to	PART
bitcs-7654	68	9	predict	predict	VERB
bitcs-7654	68	10	heart	heart	NOUN
bitcs-7654	68	11	disease	disease	NOUN
bitcs-7654	68	12	timely	timely	ADV
bitcs-7654	68	13	.	.	PUNCT
bitcs-7654	69	1	they	they	PRON
bitcs-7654	69	2	combine	combine	VERB
bitcs-7654	69	3	random	random	ADJ
bitcs-7654	69	4	forest	forest	NOUN
bitcs-7654	69	5	and	and	CCONJ
bitcs-7654	69	6	support	support	VERB
bitcs-7654	69	7	vector	vector	NOUN
bitcs-7654	69	8	machine	machine	NOUN
bitcs-7654	69	9	for	for	ADP
bitcs-7654	69	10	this	this	DET
bitcs-7654	69	11	purpose	purpose	NOUN
bitcs-7654	69	12	.	.	PUNCT
bitcs-7654	70	1	they	they	PRON
bitcs-7654	70	2	apply	apply	VERB
bitcs-7654	70	3	different	different	ADJ
bitcs-7654	70	4	techniques	technique	NOUN
bitcs-7654	70	5	to	to	PART
bitcs-7654	70	6	risk	risk	VERB
bitcs-7654	70	7	factors	factor	NOUN
bitcs-7654	70	8	.	.	PUNCT
bitcs-7654	71	1	the	the	DET
bitcs-7654	71	2	researcher	researcher	NOUN
bitcs-7654	71	3	developer	developer	NOUN
bitcs-7654	71	4	there	there	ADV
bitcs-7654	71	5	model	model	NOUN
bitcs-7654	71	6	by	by	ADP
bitcs-7654	71	7	using	use	VERB
bitcs-7654	71	8	jupyter	jupyter	ADJ
bitcs-7654	71	9	notebook	notebook	NOUN
bitcs-7654	71	10	online.the	online.the	DET
bitcs-7654	71	11	overall	overall	ADJ
bitcs-7654	71	12	accuracy	accuracy	NOUN
bitcs-7654	71	13	of	of	ADP
bitcs-7654	71	14	this	this	DET
bitcs-7654	71	15	model	model	NOUN
bitcs-7654	71	16	show	show	VERB
bitcs-7654	71	17	that	that	SCONJ
bitcs-7654	71	18	the	the	DET
bitcs-7654	71	19	random	random	ADJ
bitcs-7654	71	20	forest	forest	NOUN
bitcs-7654	71	21	classifier	classifier	NOUN
bitcs-7654	71	22	gave	give	VERB
bitcs-7654	71	23	more	more	ADV
bitcs-7654	71	24	accurate	accurate	ADJ
bitcs-7654	71	25	result	result	NOUN
bitcs-7654	71	26	then	then	ADV
bitcs-7654	71	27	other	other	ADJ
bitcs-7654	71	28	algorithms	algorithm	NOUN
bitcs-7654	71	29	[	[	X
bitcs-7654	71	30	21	21	NUM
bitcs-7654	71	31	]	]	PUNCT
bitcs-7654	71	32	.	.	PUNCT
bitcs-7654	72	1	this	this	DET
bitcs-7654	72	2	research	research	NOUN
bitcs-7654	72	3	article	article	NOUN
bitcs-7654	72	4	purpose	purpose	NOUN
bitcs-7654	72	5	sca_knn	sca_knn	PROPN
bitcs-7654	72	6	(	(	PUNCT
bitcs-7654	72	7	sine	sine	ADJ
bitcs-7654	72	8	cosine	cosine	NOUN
bitcs-7654	72	9	weighted	weight	VERB
bitcs-7654	72	10	k	k	PROPN
bitcs-7654	72	11	-	-	PUNCT
bitcs-7654	72	12	nearest	near	ADJ
bitcs-7654	72	13	neighbour	neighbour	NOUN
bitcs-7654	72	14	)	)	PUNCT
bitcs-7654	72	15	ml	ml	ADP
bitcs-7654	72	16	algorithm	algorithm	NOUN
bitcs-7654	72	17	to	to	PART
bitcs-7654	72	18	detect	detect	VERB
bitcs-7654	72	19	the	the	DET
bitcs-7654	72	20	heart	heart	NOUN
bitcs-7654	72	21	disease	disease	NOUN
bitcs-7654	72	22	in	in	ADP
bitcs-7654	72	23	the	the	DET
bitcs-7654	72	24	patients	patient	NOUN
bitcs-7654	72	25	.	.	PUNCT
bitcs-7654	73	1	the	the	DET
bitcs-7654	73	2	model	model	NOUN
bitcs-7654	73	3	learns	learn	VERB
bitcs-7654	73	4	from	from	ADP
bitcs-7654	73	5	the	the	DET
bitcs-7654	73	6	data	datum	NOUN
bitcs-7654	73	7	that	that	PRON
bitcs-7654	73	8	are	be	AUX
bitcs-7654	73	9	stored	store	VERB
bitcs-7654	73	10	in	in	ADP
bitcs-7654	73	11	the	the	DET
bitcs-7654	73	12	block	block	NOUN
bitcs-7654	73	13	-	-	PUNCT
bitcs-7654	73	14	chain	chain	NOUN
bitcs-7654	73	15	.	.	PUNCT
bitcs-7654	74	1	they	they	PRON
bitcs-7654	74	2	use	use	VERB
bitcs-7654	74	3	block	block	NOUN
bitcs-7654	74	4	-	-	PUNCT
bitcs-7654	74	5	chain	chain	NOUN
bitcs-7654	74	6	to	to	PART
bitcs-7654	74	7	ensure	ensure	VERB
bitcs-7654	74	8	the	the	DET
bitcs-7654	74	9	integrity	integrity	NOUN
bitcs-7654	74	10	of	of	ADP
bitcs-7654	74	11	the	the	DET
bitcs-7654	74	12	data	datum	NOUN
bitcs-7654	74	13	of	of	ADP
bitcs-7654	74	14	the	the	DET
bitcs-7654	74	15	patients	patient	NOUN
bitcs-7654	74	16	.	.	PUNCT
bitcs-7654	75	1	the	the	DET
bitcs-7654	75	2	results	result	NOUN
bitcs-7654	75	3	of	of	ADP
bitcs-7654	75	4	the	the	DET
bitcs-7654	75	5	study	study	NOUN
bitcs-7654	75	6	shows	show	VERB
bitcs-7654	75	7	that	that	SCONJ
bitcs-7654	75	8	this	this	DET
bitcs-7654	75	9	purposed	purposed	ADJ
bitcs-7654	75	10	model	model	NOUN
bitcs-7654	75	11	gave	give	VERB
bitcs-7654	75	12	more	more	ADJ
bitcs-7654	75	13	accuracy	accuracy	NOUN
bitcs-7654	75	14	than	than	ADP
bitcs-7654	75	15	the	the	DET
bitcs-7654	75	16	w	w	PROPN
bitcs-7654	75	17	k	k	PROPN
bitcs-7654	75	18	-	-	PUNCT
bitcs-7654	75	19	nn	nn	PROPN
bitcs-7654	75	20	&	&	CCONJ
bitcs-7654	75	21	knn	knn	PROPN
bitcs-7654	75	22	.	.	PUNCT
bitcs-7654	76	1	the	the	DET
bitcs-7654	76	2	researcher	researcher	NOUN
bitcs-7654	76	3	also	also	ADV
bitcs-7654	76	4	compares	compare	VERB
bitcs-7654	76	5	this	this	DET
bitcs-7654	76	6	algorithm	algorithm	NOUN
bitcs-7654	76	7	with	with	ADP
bitcs-7654	76	8	other	other	ADJ
bitcs-7654	76	9	algorithm	algorithm	NOUN
bitcs-7654	76	10	in	in	ADP
bitcs-7654	76	11	many	many	ADJ
bitcs-7654	76	12	ways	way	NOUN
bitcs-7654	76	13	like	like	ADP
bitcs-7654	76	14	precision	precision	NOUN
bitcs-7654	76	15	,	,	PUNCT
bitcs-7654	76	16	mean	mean	ADJ
bitcs-7654	76	17	square	square	NOUN
bitcs-7654	76	18	error	error	NOUN
bitcs-7654	76	19	.	.	PUNCT
bitcs-7654	77	1	f1	f1	NOUN
bitcs-7654	77	2	score	score	NOUN
bitcs-7654	77	3	etc	etc	X
bitcs-7654	77	4	.	.	X
bitcs-7654	78	1	this	this	DET
bitcs-7654	78	2	purposed	purposed	ADJ
bitcs-7654	78	3	algorithm	algorithm	NOUN
bitcs-7654	78	4	and	and	CCONJ
bitcs-7654	78	5	the	the	DET
bitcs-7654	78	6	storage	storage	NOUN
bitcs-7654	78	7	system	system	NOUN
bitcs-7654	78	8	that	that	PRON
bitcs-7654	78	9	they	they	PRON
bitcs-7654	78	10	describe	describe	VERB
bitcs-7654	78	11	in	in	ADP
bitcs-7654	78	12	their	their	PRON
bitcs-7654	78	13	research	research	NOUN
bitcs-7654	78	14	have	have	VERB
bitcs-7654	78	15	a	a	DET
bitcs-7654	78	16	good	good	ADJ
bitcs-7654	78	17	effect	effect	NOUN
bitcs-7654	78	18	on	on	ADP
bitcs-7654	78	19	increasing	increase	VERB
bitcs-7654	78	20	the	the	DET
bitcs-7654	78	21	accuracy	accuracy	NOUN
bitcs-7654	78	22	of	of	ADP
bitcs-7654	78	23	heart	heart	NOUN
bitcs-7654	78	24	disease	disease	NOUN
bitcs-7654	78	25	[	[	X
bitcs-7654	78	26	22	22	NUM
bitcs-7654	78	27	]	]	PUNCT
bitcs-7654	78	28	.	.	PUNCT
bitcs-7654	79	1	this	this	DET
bitcs-7654	79	2	study	study	NOUN
bitcs-7654	79	3	,	,	PUNCT
bitcs-7654	79	4	the	the	DET
bitcs-7654	79	5	authors	author	NOUN
bitcs-7654	79	6	investigated	investigate	VERB
bitcs-7654	79	7	five	five	NUM
bitcs-7654	79	8	distinct	distinct	ADJ
bitcs-7654	79	9	methods	method	NOUN
bitcs-7654	79	10	(	(	PUNCT
bitcs-7654	79	11	mmc	mmc	X
bitcs-7654	79	12	,	,	PUNCT
bitcs-7654	79	13	random	random	ADJ
bitcs-7654	79	14	,	,	PUNCT
bitcs-7654	79	15	adaptive	adaptive	ADJ
bitcs-7654	79	16	,	,	PUNCT
bitcs-7654	79	17	quire	quire	NOUN
bitcs-7654	79	18	,	,	PUNCT
bitcs-7654	79	19	and	and	CCONJ
bitcs-7654	79	20	audi	audi	PROPN
bitcs-7654	79	21	)	)	PUNCT
bitcs-7654	79	22	for	for	ADP
bitcs-7654	79	23	deciding	decide	VERB
bitcs-7654	79	24	which	which	DET
bitcs-7654	79	25	data	datum	NOUN
bitcs-7654	79	26	to	to	PART
bitcs-7654	79	27	include	include	VERB
bitcs-7654	79	28	in	in	ADP
bitcs-7654	79	29	a	a	DET
bitcs-7654	79	30	multi	multi	ADJ
bitcs-7654	79	31	-	-	ADJ
bitcs-7654	79	32	label	label	ADJ
bitcs-7654	79	33	active	active	ADJ
bitcs-7654	79	34	learning	learning	NOUN
bitcs-7654	79	35	scenario	scenario	NOUN
bitcs-7654	79	36	.	.	PUNCT
bitcs-7654	80	1	by	by	ADP
bitcs-7654	80	2	selecting	select	VERB
bitcs-7654	80	3	the	the	DET
bitcs-7654	80	4	most	most	ADV
bitcs-7654	80	5	crucial	crucial	ADJ
bitcs-7654	80	6	data	datum	NOUN
bitcs-7654	80	7	points	point	NOUN
bitcs-7654	80	8	to	to	PART
bitcs-7654	80	9	query	query	NOUN
bitcs-7654	80	10	for	for	ADP
bitcs-7654	80	11	their	their	PRON
bitcs-7654	80	12	labels	label	NOUN
bitcs-7654	80	13	,	,	PUNCT
bitcs-7654	80	14	the	the	DET
bitcs-7654	80	15	goal	goal	NOUN
bitcs-7654	80	16	was	be	AUX
bitcs-7654	80	17	to	to	PART
bitcs-7654	80	18	lower	lower	VERB
bitcs-7654	80	19	the	the	DET
bitcs-7654	80	20	expenses	expense	NOUN
bitcs-7654	80	21	of	of	ADP
bitcs-7654	80	22	labeling	labeling	NOUN
bitcs-7654	80	23	.	.	PUNCT
bitcs-7654	81	1	to	to	PART
bitcs-7654	81	2	create	create	VERB
bitcs-7654	81	3	predictive	predictive	ADJ
bitcs-7654	81	4	models	model	NOUN
bitcs-7654	81	5	for	for	ADP
bitcs-7654	81	6	a	a	DET
bitcs-7654	81	7	dataset	dataset	NOUN
bitcs-7654	81	8	of	of	ADP
bitcs-7654	81	9	heart	heart	NOUN
bitcs-7654	81	10	disease	disease	NOUN
bitcs-7654	81	11	,	,	PUNCT
bitcs-7654	81	12	these	these	DET
bitcs-7654	81	13	selection	selection	NOUN
bitcs-7654	81	14	techniques	technique	NOUN
bitcs-7654	81	15	were	be	AUX
bitcs-7654	81	16	paired	pair	VERB
bitcs-7654	81	17	with	with	ADP
bitcs-7654	81	18	a	a	DET
bitcs-7654	81	19	label	label	NOUN
bitcs-7654	81	20	ranking	rank	VERB
bitcs-7654	81	21	classifier	classifier	NOUN
bitcs-7654	81	22	,	,	PUNCT
bitcs-7654	81	23	and	and	CCONJ
bitcs-7654	81	24	the	the	DET
bitcs-7654	81	25	classifier	classifier	NOUN
bitcs-7654	81	26	's	's	PART
bitcs-7654	81	27	hyperparameters	hyperparameter	NOUN
bitcs-7654	81	28	were	be	AUX
bitcs-7654	81	29	also	also	ADV
bitcs-7654	81	30	tuned	tune	VERB
bitcs-7654	81	31	by	by	ADP
bitcs-7654	81	32	using	use	VERB
bitcs-7654	81	33	a	a	DET
bitcs-7654	81	34	grid	grid	NOUN
bitcs-7654	81	35	search	search	NOUN
bitcs-7654	81	36	.	.	PUNCT
bitcs-7654	82	1	overall	overall	ADV
bitcs-7654	82	2	,	,	PUNCT
bitcs-7654	82	3	the	the	DET
bitcs-7654	82	4	study	study	NOUN
bitcs-7654	82	5	's	's	PART
bitcs-7654	82	6	findings	finding	NOUN
bitcs-7654	82	7	point	point	NOUN
bitcs-7654	82	8	to	to	ADP
bitcs-7654	82	9	the	the	DET
bitcs-7654	82	10	effectiveness	effectiveness	NOUN
bitcs-7654	82	11	of	of	ADP
bitcs-7654	82	12	the	the	DET
bitcs-7654	82	13	selection	selection	NOUN
bitcs-7654	82	14	approach	approach	NOUN
bitcs-7654	82	15	in	in	ADP
bitcs-7654	82	16	enhancing	enhance	VERB
bitcs-7654	82	17	the	the	DET
bitcs-7654	82	18	learning	learning	NOUN
bitcs-7654	82	19	model	model	NOUN
bitcs-7654	82	20	's	's	PART
bitcs-7654	82	21	accuracy	accuracy	NOUN
bitcs-7654	82	22	beyond	beyond	ADP
bitcs-7654	82	23	the	the	DET
bitcs-7654	82	24	data	datum	NOUN
bitcs-7654	82	25	at	at	ADP
bitcs-7654	82	26	hand	hand	NOUN
bitcs-7654	82	27	when	when	SCONJ
bitcs-7654	82	28	combined	combine	VERB
bitcs-7654	82	29	with	with	ADP
bitcs-7654	82	30	the	the	DET
bitcs-7654	82	31	label	label	NOUN
bitcs-7654	82	32	ranking	ranking	NOUN
bitcs-7654	82	33	model	model	NOUN
bitcs-7654	82	34	.	.	PUNCT
bitcs-7654	83	1	however	however	ADV
bitcs-7654	83	2	,	,	PUNCT
bitcs-7654	83	3	when	when	SCONJ
bitcs-7654	83	4	comparing	compare	VERB
bitcs-7654	83	5	the	the	DET
bitcs-7654	83	6	models	model	NOUN
bitcs-7654	83	7	using	use	VERB
bitcs-7654	83	8	the	the	DET
bitcs-7654	83	9	f	f	NOUN
bitcs-7654	83	10	-	-	PUNCT
bitcs-7654	83	11	score	score	NOUN
bitcs-7654	83	12	,	,	PUNCT
bitcs-7654	83	13	the	the	DET
bitcs-7654	83	14	performance	performance	NOUN
bitcs-7654	83	15	of	of	ADP
bitcs-7654	83	16	the	the	DET
bitcs-7654	83	17	selection	selection	NOUN
bitcs-7654	83	18	process	process	NOUN
bitcs-7654	83	19	was	be	AUX
bitcs-7654	83	20	very	very	ADV
bitcs-7654	83	21	impressive	impressive	ADJ
bitcs-7654	83	22	when	when	SCONJ
bitcs-7654	83	23	utilizing	utilize	VERB
bitcs-7654	83	24	the	the	DET
bitcs-7654	83	25	optimum	optimum	ADJ
bitcs-7654	83	26	settings	setting	NOUN
bitcs-7654	83	27	[	[	X
bitcs-7654	83	28	23	23	NUM
bitcs-7654	83	29	]	]	PUNCT
bitcs-7654	83	30	.	.	PUNCT
bitcs-7654	84	1	table	table	NOUN
bitcs-7654	84	2	1	1	NUM
bitcs-7654	84	3	.	.	PUNCT
bitcs-7654	84	4	literature	literature	NOUN
bitcs-7654	84	5	review	review	PROPN
bitcs-7654	84	6	reference	reference	NOUN
bitcs-7654	84	7	model	model	NOUN
bitcs-7654	84	8	name	name	NOUN
bitcs-7654	84	9	overall	overall	ADJ
bitcs-7654	84	10	accuracy	accuracy	NOUN
bitcs-7654	84	11	remarks	remark	NOUN
bitcs-7654	84	12	(	(	PUNCT
bitcs-7654	84	13	absar	absar	PROPN
bitcs-7654	84	14	,	,	PUNCT
bitcs-7654	84	15	das	das	PROPN
bitcs-7654	84	16	et	et	PROPN
bitcs-7654	84	17	al	al	PROPN
bitcs-7654	84	18	.	.	PROPN
bitcs-7654	84	19	2022	2022	NUM
bitcs-7654	84	20	)	)	PUNCT
bitcs-7654	85	1	[	[	X
bitcs-7654	85	2	24	24	NUM
bitcs-7654	85	3	]	]	X
bitcs-7654	85	4	random	random	ADJ
bitcs-7654	85	5	forest	forest	NOUN
bitcs-7654	85	6	,	,	PUNCT
bitcs-7654	85	7	adaboost	adaboost	ADV
bitcs-7654	85	8	,	,	PUNCT
bitcs-7654	85	9	knn	knn	PROPN
bitcs-7654	85	10	,	,	PUNCT
bitcs-7654	85	11	decision	decision	NOUN
bitcs-7654	85	12	tree	tree	NOUN
bitcs-7654	85	13	rf	rf	NOUN
bitcs-7654	85	14	:	:	PUNCT
bitcs-7654	85	15	99	99	NUM
bitcs-7654	85	16	%	%	NOUN
bitcs-7654	85	17	,	,	PUNCT
bitcs-7654	85	18	dt	dt	X
bitcs-7654	85	19	:	:	PUNCT
bitcs-7654	85	20	96	96	NUM
bitcs-7654	85	21	%	%	NOUN
bitcs-7654	85	22	,	,	PUNCT
bitcs-7654	85	23	ab	ab	PROPN
bitcs-7654	85	24	:	:	PUNCT
bitcs-7654	85	25	100	100	NUM
bitcs-7654	85	26	%	%	NOUN
bitcs-7654	85	27	,	,	PUNCT
bitcs-7654	85	28	knn	knn	PROPN
bitcs-7654	85	29	:	:	PUNCT
bitcs-7654	85	30	100	100	NUM
bitcs-7654	85	31	%	%	NOUN
bitcs-7654	85	32	rf	rf	NOUN
bitcs-7654	85	33	and	and	CCONJ
bitcs-7654	85	34	dt	dt	AUX
bitcs-7654	85	35	have	have	VERB
bitcs-7654	85	36	high	high	ADJ
bitcs-7654	85	37	accuracy	accuracy	NOUN
bitcs-7654	85	38	,	,	PUNCT
bitcs-7654	85	39	ab	ab	PROPN
bitcs-7654	85	40	and	and	CCONJ
bitcs-7654	85	41	knn	knn	PROPN
bitcs-7654	85	42	achieve	achieve	VERB
bitcs-7654	85	43	perfect	perfect	ADJ
bitcs-7654	85	44	accuracy	accuracy	NOUN
bitcs-7654	85	45	,	,	PUNCT
bitcs-7654	85	46	utilized	utilize	VERB
bitcs-7654	85	47	streamlit	streamlit	NOUN
bitcs-7654	85	48	for	for	ADP
bitcs-7654	85	49	computeraided	computeraide	VERB
bitcs-7654	85	50	prediction	prediction	NOUN
bitcs-7654	85	51	system	system	NOUN
bitcs-7654	85	52	(	(	PUNCT
bitcs-7654	85	53	yilmaz	yilmaz	NOUN
bitcs-7654	85	54	and	and	CCONJ
bitcs-7654	85	55	yağin	yağin	PROPN
bitcs-7654	85	56	2022	2022	NUM
bitcs-7654	85	57	)	)	PUNCT
bitcs-7654	86	1	[	[	X
bitcs-7654	86	2	25	25	NUM
bitcs-7654	86	3	]	]	X
bitcs-7654	86	4	random	random	ADJ
bitcs-7654	86	5	forest	forest	NOUN
bitcs-7654	86	6	,	,	PUNCT
bitcs-7654	86	7	support	support	NOUN
bitcs-7654	86	8	vector	vector	NOUN
bitcs-7654	86	9	machine	machine	NOUN
bitcs-7654	86	10	,	,	PUNCT
bitcs-7654	86	11	logistic	logistic	ADJ
bitcs-7654	86	12	regression	regression	NOUN
bitcs-7654	86	13	rf	rf	NOUN
bitcs-7654	86	14	:	:	PUNCT
bitcs-7654	86	15	higher	high	ADJ
bitcs-7654	86	16	accuracy	accuracy	NOUN
bitcs-7654	86	17	utilized	utilize	VERB
bitcs-7654	86	18	10	10	NUM
bitcs-7654	86	19	-	-	ADJ
bitcs-7654	86	20	fold	fold	ADJ
bitcs-7654	86	21	repeated	repeat	VERB
bitcs-7654	86	22	cross	cross	NOUN
bitcs-7654	86	23	validation	validation	NOUN
bitcs-7654	86	24	,	,	PUNCT
bitcs-7654	86	25	rf	rf	NOUN
bitcs-7654	86	26	model	model	NOUN
bitcs-7654	86	27	had	have	VERB
bitcs-7654	86	28	higher	high	ADJ
bitcs-7654	86	29	accuracy	accuracy	NOUN
bitcs-7654	86	30	and	and	CCONJ
bitcs-7654	86	31	sensitivity	sensitivity	NOUN
bitcs-7654	86	32	(	(	PUNCT
bitcs-7654	86	33	qu	qu	PROPN
bitcs-7654	86	34	,	,	PUNCT
bitcs-7654	86	35	deng	deng	PROPN
bitcs-7654	86	36	et	et	PROPN
bitcs-7654	86	37	al	al	PROPN
bitcs-7654	86	38	.	.	PROPN
bitcs-7654	86	39	2022	2022	NUM
bitcs-7654	86	40	)	)	PUNCT
bitcs-7654	86	41	explainable	explainable	ADJ
bitcs-7654	86	42	boosting	boost	VERB
bitcs-7654	86	43	machine	machine	NOUN
bitcs-7654	86	44	(	(	PUNCT
bitcs-7654	86	45	ebm	ebm	NOUN
bitcs-7654	86	46	)	)	PUNCT
bitcs-7654	86	47	76	76	NUM
bitcs-7654	86	48	%	%	NOUN
bitcs-7654	86	49	auc	auc	NOUN
bitcs-7654	86	50	birth	birth	NOUN
bitcs-7654	86	51	cohort	cohort	NOUN
bitcs-7654	86	52	investigation	investigation	NOUN
bitcs-7654	86	53	to	to	PART
bitcs-7654	86	54	predict	predict	VERB
bitcs-7654	86	55	congenital	congenital	ADJ
bitcs-7654	86	56	heart	heart	NOUN
bitcs-7654	86	57	defects	defect	NOUN
bitcs-7654	86	58	(	(	PUNCT
bitcs-7654	86	59	chds	chds	NOUN
bitcs-7654	86	60	)	)	PUNCT
bitcs-7654	86	61	,	,	PUNCT
bitcs-7654	86	62	utilized	utilize	VERB
bitcs-7654	86	63	ultrasound	ultrasound	NOUN
bitcs-7654	86	64	screening	screening	NOUN
bitcs-7654	86	65	and	and	CCONJ
bitcs-7654	86	66	ebm	ebm	PROPN
bitcs-7654	86	67	model	model	NOUN
bitcs-7654	86	68	(	(	PUNCT
bitcs-7654	86	69	özbilgin	özbilgin	NOUN
bitcs-7654	86	70	,	,	PUNCT
bitcs-7654	86	71	kurnaz	kurnaz	PROPN
bitcs-7654	86	72	et	et	PROPN
bitcs-7654	86	73	al	al	PROPN
bitcs-7654	86	74	.	.	PROPN
bitcs-7654	86	75	2023	2023	NUM
bitcs-7654	86	76	)	)	PUNCT
bitcs-7654	87	1	[	[	X
bitcs-7654	87	2	26	26	NUM
bitcs-7654	87	3	]	]	PUNCT
bitcs-7654	87	4	support	support	NOUN
bitcs-7654	87	5	vector	vector	NOUN
bitcs-7654	87	6	machine	machine	NOUN
bitcs-7654	87	7	(	(	PUNCT
bitcs-7654	87	8	svm	svm	PROPN
bitcs-7654	87	9	)	)	PUNCT
bitcs-7654	87	10	93	93	NUM
bitcs-7654	87	11	%	%	NOUN
bitcs-7654	87	12	accuracy	accuracy	NOUN
bitcs-7654	87	13	utilized	utilize	VERB
bitcs-7654	87	14	iris	iris	NOUN
bitcs-7654	87	15	analysis	analysis	NOUN
bitcs-7654	87	16	and	and	CCONJ
bitcs-7654	87	17	image	image	NOUN
bitcs-7654	87	18	processing	processing	NOUN
bitcs-7654	87	19	for	for	ADP
bitcs-7654	87	20	non	non	ADJ
bitcs-7654	87	21	-	-	ADJ
bitcs-7654	87	22	invasive	invasive	ADJ
bitcs-7654	87	23	cad	cad	NOUN
bitcs-7654	87	24	diagnosis	diagnosis	NOUN
bitcs-7654	87	25	,	,	PUNCT
bitcs-7654	87	26	demonstrated	demonstrate	VERB
bitcs-7654	87	27	potential	potential	NOUN
bitcs-7654	87	28	for	for	ADP
bitcs-7654	87	29	early	early	ADJ
bitcs-7654	87	30	cad	cad	PROPN
bitcs-7654	87	31	detection	detection	NOUN
bitcs-7654	87	32	vol	vol	NOUN
bitcs-7654	87	33	.	.	PROPN
bitcs-7654	87	34	6	6	NUM
bitcs-7654	87	35	,	,	PUNCT
bitcs-7654	87	36	no.1	no.1	NUM
bitcs-7654	87	37	,	,	PUNCT
bitcs-7654	87	38	january	january	PROPN
bitcs-7654	87	39	2025	2025	NUM
bitcs-7654	87	40	|	|	ADV
bitcs-7654	87	41	49	49	NUM
bitcs-7654	87	42	(	(	PUNCT
bitcs-7654	87	43	bhatt	bhatt	PROPN
bitcs-7654	87	44	,	,	PUNCT
bitcs-7654	87	45	patel	patel	PROPN
bitcs-7654	87	46	et	et	PROPN
bitcs-7654	87	47	al	al	PROPN
bitcs-7654	87	48	.	.	PROPN
bitcs-7654	87	49	2023	2023	NUM
bitcs-7654	87	50	)	)	PUNCT
bitcs-7654	88	1	[	[	X
bitcs-7654	88	2	27	27	NUM
bitcs-7654	88	3	]	]	X
bitcs-7654	88	4	multilayer	multilayer	PROPN
bitcs-7654	88	5	perceptron	perceptron	PROPN
bitcs-7654	88	6	,	,	PUNCT
bitcs-7654	88	7	k	k	ADJ
bitcs-7654	88	8	-	-	ADJ
bitcs-7654	88	9	node	node	ADJ
bitcs-7654	88	10	clustering	cluster	VERB
bitcs-7654	88	11	mlp	mlp	NOUN
bitcs-7654	88	12	:	:	PUNCT
bitcs-7654	88	13	87	87	NUM
bitcs-7654	88	14	%	%	NOUN
bitcs-7654	88	15	utilized	utilize	VERB
bitcs-7654	88	16	gridsearchcv	gridsearchcv	NOUN
bitcs-7654	88	17	for	for	ADP
bitcs-7654	88	18	model	model	NOUN
bitcs-7654	88	19	optimization	optimization	NOUN
bitcs-7654	88	20	,	,	PUNCT
bitcs-7654	88	21	achieved	achieve	VERB
bitcs-7654	88	22	high	high	ADJ
bitcs-7654	88	23	accuracy	accuracy	NOUN
bitcs-7654	88	24	with	with	ADP
bitcs-7654	88	25	mlp	mlp	PROPN
bitcs-7654	88	26	,	,	PUNCT
bitcs-7654	88	27	introduced	introduce	VERB
bitcs-7654	88	28	knode	knode	NOUN
bitcs-7654	88	29	clustering	cluster	VERB
bitcs-7654	88	30	for	for	ADP
bitcs-7654	88	31	improved	improved	ADJ
bitcs-7654	88	32	accuracy	accuracy	NOUN
bitcs-7654	88	33	(	(	PUNCT
bitcs-7654	88	34	nandy	nandy	PROPN
bitcs-7654	88	35	,	,	PUNCT
bitcs-7654	88	36	adhikari	adhikari	PROPN
bitcs-7654	88	37	et	et	PROPN
bitcs-7654	88	38	al	al	PROPN
bitcs-7654	88	39	.	.	PROPN
bitcs-7654	88	40	2023	2023	NUM
bitcs-7654	88	41	)	)	PUNCT
bitcs-7654	89	1	[	[	X
bitcs-7654	89	2	28	28	NUM
bitcs-7654	89	3	]	]	X
bitcs-7654	89	4	swarm	swarm	NOUN
bitcs-7654	89	5	-	-	PUNCT
bitcs-7654	89	6	ann	ann	PROPN
bitcs-7654	89	7	strategy	strategy	NOUN
bitcs-7654	89	8	95.78	95.78	NUM
bitcs-7654	89	9	%	%	NOUN
bitcs-7654	89	10	proposed	propose	VERB
bitcs-7654	89	11	swarm	swarm	NOUN
bitcs-7654	89	12	-	-	PUNCT
bitcs-7654	89	13	ann	ann	PROPN
bitcs-7654	89	14	strategy	strategy	NOUN
bitcs-7654	89	15	for	for	ADP
bitcs-7654	89	16	smart	smart	ADJ
bitcs-7654	89	17	healthcare	healthcare	NOUN
bitcs-7654	89	18	framework	framework	NOUN
bitcs-7654	89	19	,	,	PUNCT
bitcs-7654	89	20	achieved	achieve	VERB
bitcs-7654	89	21	high	high	ADJ
bitcs-7654	89	22	accuracy	accuracy	NOUN
bitcs-7654	89	23	and	and	CCONJ
bitcs-7654	89	24	outperformed	outperform	VERB
bitcs-7654	89	25	conventional	conventional	ADJ
bitcs-7654	89	26	methods	method	NOUN
bitcs-7654	89	27	(	(	PUNCT
bitcs-7654	89	28	manimurugan	manimurugan	NOUN
bitcs-7654	89	29	,	,	PUNCT
bitcs-7654	89	30	almutairi	almutairi	NOUN
bitcs-7654	89	31	et	et	PROPN
bitcs-7654	89	32	al	al	PROPN
bitcs-7654	89	33	.	.	PROPN
bitcs-7654	89	34	2022	2022	NUM
bitcs-7654	89	35	)	)	PUNCT
bitcs-7654	90	1	[	[	X
bitcs-7654	90	2	29	29	NUM
bitcs-7654	90	3	]	]	X
bitcs-7654	90	4	hybrid	hybrid	ADJ
bitcs-7654	90	5	linear	linear	NOUN
bitcs-7654	90	6	discriminant	discriminant	ADJ
bitcs-7654	90	7	analysis	analysis	NOUN
bitcs-7654	90	8	,	,	PUNCT
bitcs-7654	90	9	faster	fast	ADV
bitcs-7654	90	10	rcnn	rcnn	PROPN
bitcs-7654	90	11	hlda	hlda	PROPN
bitcs-7654	90	12	-	-	PUNCT
bitcs-7654	90	13	malo	malo	PROPN
bitcs-7654	90	14	:	:	PUNCT
bitcs-7654	90	15	96.85	96.85	NUM
bitcs-7654	90	16	%	%	NOUN
bitcs-7654	90	17	,	,	PUNCT
bitcs-7654	90	18	seresnext-101	seresnext-101	NOUN
bitcs-7654	90	19	:	:	PUNCT
bitcs-7654	90	20	98.06	98.06	NUM
bitcs-7654	90	21	%	%	NOUN
bitcs-7654	90	22	achieved	achieve	VERB
bitcs-7654	90	23	high	high	ADJ
bitcs-7654	90	24	accuracy	accuracy	NOUN
bitcs-7654	90	25	for	for	ADP
bitcs-7654	90	26	sensor	sensor	NOUN
bitcs-7654	90	27	and	and	CCONJ
bitcs-7654	90	28	echocardiogram	echocardiogram	NOUN
bitcs-7654	90	29	classification	classification	NOUN
bitcs-7654	90	30	,	,	PUNCT
bitcs-7654	90	31	outperformed	outperform	VERB
bitcs-7654	90	32	other	other	ADJ
bitcs-7654	90	33	models	model	NOUN
bitcs-7654	90	34	in	in	ADP
bitcs-7654	90	35	accuracy	accuracy	NOUN
bitcs-7654	90	36	(	(	PUNCT
bitcs-7654	90	37	malnajjar	malnajjar	ADJ
bitcs-7654	90	38	and	and	CCONJ
bitcs-7654	90	39	abu	abu	PROPN
bitcs-7654	90	40	-	-	PUNCT
bitcs-7654	90	41	naser	naser	PROPN
bitcs-7654	90	42	2022	2022	NUM
bitcs-7654	90	43	)	)	PUNCT
bitcs-7654	91	1	[	[	X
bitcs-7654	91	2	30	30	NUM
bitcs-7654	91	3	]	]	X
bitcs-7654	91	4	deep	deep	ADJ
bitcs-7654	91	5	learning	learning	NOUN
bitcs-7654	91	6	model	model	NOUN
bitcs-7654	91	7	100	100	NUM
bitcs-7654	91	8	%	%	NOUN
bitcs-7654	91	9	developed	develop	VERB
bitcs-7654	91	10	model	model	NOUN
bitcs-7654	91	11	to	to	PART
bitcs-7654	91	12	identify	identify	VERB
bitcs-7654	91	13	heart	heart	NOUN
bitcs-7654	91	14	disease	disease	NOUN
bitcs-7654	91	15	symptoms	symptom	NOUN
bitcs-7654	91	16	,	,	PUNCT
bitcs-7654	91	17	utilized	utilize	VERB
bitcs-7654	91	18	melfrequency	melfrequency	NOUN
bitcs-7654	91	19	cepstrum	cepstrum	NOUN
bitcs-7654	91	20	coefficient	coefficient	NOUN
bitcs-7654	91	21	(	(	PUNCT
bitcs-7654	91	22	mfcc	mfcc	NOUN
bitcs-7654	91	23	)	)	PUNCT
bitcs-7654	91	24	for	for	ADP
bitcs-7654	91	25	feature	feature	NOUN
bitcs-7654	91	26	extraction	extraction	NOUN
bitcs-7654	91	27	a.	a.	NOUN
bitcs-7654	91	28	datasets	dataset	NOUN
bitcs-7654	91	29	our	our	PRON
bitcs-7654	91	30	data	datum	NOUN
bitcs-7654	91	31	originates	originate	NOUN
bitcs-7654	91	32	from	from	ADP
bitcs-7654	91	33	a	a	DET
bitcs-7654	91	34	1988	1988	NUM
bitcs-7654	91	35	merger	merger	NOUN
bitcs-7654	91	36	of	of	ADP
bitcs-7654	91	37	four	four	NUM
bitcs-7654	91	38	distinct	distinct	ADJ
bitcs-7654	91	39	datasets	dataset	NOUN
bitcs-7654	91	40	:	:	PUNCT
bitcs-7654	91	41	the	the	DET
bitcs-7654	91	42	long	long	ADJ
bitcs-7654	91	43	beach	beach	NOUN
bitcs-7654	91	44	v	v	ADP
bitcs-7654	91	45	dataset	dataset	NOUN
bitcs-7654	91	46	,	,	PUNCT
bitcs-7654	91	47	the	the	DET
bitcs-7654	91	48	cleveland	cleveland	PROPN
bitcs-7654	91	49	dataset	dataset	PROPN
bitcs-7654	91	50	,	,	PUNCT
bitcs-7654	91	51	the	the	DET
bitcs-7654	91	52	hungarian	hungarian	ADJ
bitcs-7654	91	53	dataset	dataset	NOUN
bitcs-7654	91	54	,	,	PUNCT
bitcs-7654	91	55	and	and	CCONJ
bitcs-7654	91	56	the	the	DET
bitcs-7654	91	57	swiss	swiss	ADJ
bitcs-7654	91	58	dataset	dataset	NOUN
bitcs-7654	91	59	.	.	PUNCT
bitcs-7654	92	1	this	this	DET
bitcs-7654	92	2	dataset	dataset	NOUN
bitcs-7654	92	3	comprises	comprise	VERB
bitcs-7654	92	4	various	various	ADJ
bitcs-7654	92	5	characteristics	characteristic	NOUN
bitcs-7654	92	6	,	,	PUNCT
bitcs-7654	92	7	with	with	ADP
bitcs-7654	92	8	the	the	DET
bitcs-7654	92	9	"	"	PUNCT
bitcs-7654	92	10	target	target	NOUN
bitcs-7654	92	11	"	"	PUNCT
bitcs-7654	92	12	property	property	NOUN
bitcs-7654	92	13	indicating	indicate	VERB
bitcs-7654	92	14	cardiac	cardiac	ADJ
bitcs-7654	92	15	disease	disease	NOUN
bitcs-7654	92	16	presence—0	presence—0	NOUN
bitcs-7654	92	17	for	for	ADP
bitcs-7654	92	18	no	no	DET
bitcs-7654	92	19	illness	illness	NOUN
bitcs-7654	92	20	and	and	CCONJ
bitcs-7654	92	21	1	1	NUM
bitcs-7654	92	22	for	for	ADP
bitcs-7654	92	23	disease	disease	NOUN
bitcs-7654	92	24	.	.	PUNCT
bitcs-7654	93	1	the	the	DET
bitcs-7654	93	2	dataset	dataset	NOUN
bitcs-7654	93	3	includes	include	VERB
bitcs-7654	93	4	vital	vital	ADJ
bitcs-7654	93	5	information	information	NOUN
bitcs-7654	93	6	such	such	ADJ
bitcs-7654	93	7	as	as	ADP
bitcs-7654	93	8	age	age	NOUN
bitcs-7654	93	9	,	,	PUNCT
bitcs-7654	93	10	gender	gender	NOUN
bitcs-7654	93	11	,	,	PUNCT
bitcs-7654	93	12	chest	chest	NOUN
bitcs-7654	93	13	pain	pain	NOUN
bitcs-7654	93	14	type	type	NOUN
bitcs-7654	93	15	(	(	PUNCT
bitcs-7654	93	16	categorized	categorize	VERB
bitcs-7654	93	17	into	into	ADP
bitcs-7654	93	18	four	four	NUM
bitcs-7654	93	19	values	value	NOUN
bitcs-7654	93	20	)	)	PUNCT
bitcs-7654	93	21	,	,	PUNCT
bitcs-7654	93	22	resting	rest	VERB
bitcs-7654	93	23	blood	blood	NOUN
bitcs-7654	93	24	pressure	pressure	NOUN
bitcs-7654	93	25	,	,	PUNCT
bitcs-7654	93	26	serum	serum	NOUN
bitcs-7654	93	27	cholesterol	cholesterol	NOUN
bitcs-7654	93	28	level	level	NOUN
bitcs-7654	93	29	(	(	PUNCT
bitcs-7654	93	30	mg	mg	PROPN
bitcs-7654	93	31	/	/	SYM
bitcs-7654	93	32	dl	dl	PROPN
bitcs-7654	93	33	)	)	PUNCT
bitcs-7654	93	34	,	,	PUNCT
bitcs-7654	93	35	fasting	fast	VERB
bitcs-7654	93	36	blood	blood	NOUN
bitcs-7654	93	37	sugar	sugar	NOUN
bitcs-7654	93	38	status	status	NOUN
bitcs-7654	93	39	(	(	PUNCT
bitcs-7654	93	40	binary	binary	NOUN
bitcs-7654	93	41	for	for	ADP
bitcs-7654	93	42	levels	level	NOUN
bitcs-7654	93	43	above	above	ADP
bitcs-7654	93	44	120	120	NUM
bitcs-7654	93	45	mg	mg	PROPN
bitcs-7654	93	46	/	/	SYM
bitcs-7654	93	47	dl	dl	PROPN
bitcs-7654	93	48	)	)	PUNCT
bitcs-7654	93	49	,	,	PUNCT
bitcs-7654	93	50	and	and	CCONJ
bitcs-7654	93	51	resting	rest	VERB
bitcs-7654	93	52	electrocardiographic	electrocardiographic	ADJ
bitcs-7654	93	53	results	result	NOUN
bitcs-7654	93	54	(	(	PUNCT
bitcs-7654	93	55	0	0	NUM
bitcs-7654	93	56	,	,	PUNCT
bitcs-7654	93	57	1	1	NUM
bitcs-7654	93	58	,	,	PUNCT
bitcs-7654	93	59	2	2	NUM
bitcs-7654	93	60	)	)	PUNCT
bitcs-7654	93	61	.	.	PUNCT
bitcs-7654	94	1	additional	additional	ADJ
bitcs-7654	94	2	attributes	attribute	NOUN
bitcs-7654	94	3	include	include	VERB
bitcs-7654	94	4	the	the	DET
bitcs-7654	94	5	maximum	maximum	ADJ
bitcs-7654	94	6	heart	heart	NOUN
bitcs-7654	94	7	rate	rate	NOUN
bitcs-7654	94	8	achieved	achieve	VERB
bitcs-7654	94	9	during	during	ADP
bitcs-7654	94	10	observation	observation	NOUN
bitcs-7654	94	11	,	,	PUNCT
bitcs-7654	94	12	signs	sign	NOUN
bitcs-7654	94	13	of	of	ADP
bitcs-7654	94	14	exercise	exercise	NOUN
bitcs-7654	94	15	-	-	PUNCT
bitcs-7654	94	16	induced	induce	VERB
bitcs-7654	94	17	angina	angina	NOUN
bitcs-7654	94	18	,	,	PUNCT
bitcs-7654	94	19	the	the	DET
bitcs-7654	94	20	slope	slope	NOUN
bitcs-7654	94	21	of	of	ADP
bitcs-7654	94	22	the	the	DET
bitcs-7654	94	23	peak	peak	NOUN
bitcs-7654	94	24	exercise	exercise	NOUN
bitcs-7654	94	25	st	st	PROPN
bitcs-7654	94	26	segment	segment	PROPN
bitcs-7654	94	27	,	,	PUNCT
bitcs-7654	94	28	the	the	DET
bitcs-7654	94	29	number	number	NOUN
bitcs-7654	94	30	of	of	ADP
bitcs-7654	94	31	major	major	ADJ
bitcs-7654	94	32	vessels	vessel	NOUN
bitcs-7654	94	33	colored	color	VERB
bitcs-7654	94	34	by	by	ADP
bitcs-7654	94	35	fluoroscopy	fluoroscopy	NOUN
bitcs-7654	94	36	(	(	PUNCT
bitcs-7654	94	37	0	0	NUM
bitcs-7654	94	38	to	to	ADP
bitcs-7654	94	39	3	3	NUM
bitcs-7654	94	40	)	)	PUNCT
bitcs-7654	94	41	,	,	PUNCT
bitcs-7654	94	42	and	and	CCONJ
bitcs-7654	94	43	thalassemia	thalassemia	NOUN
bitcs-7654	94	44	status	status	NOUN
bitcs-7654	94	45	(	(	PUNCT
bitcs-7654	94	46	normal	normal	ADJ
bitcs-7654	94	47	,	,	PUNCT
bitcs-7654	94	48	fixed	fix	VERB
bitcs-7654	94	49	defect	defect	NOUN
bitcs-7654	94	50	,	,	PUNCT
bitcs-7654	94	51	reversible	reversible	ADJ
bitcs-7654	94	52	defect	defect	NOUN
bitcs-7654	94	53	)	)	PUNCT
bitcs-7654	94	54	.	.	PUNCT
bitcs-7654	95	1	figure	figure	NOUN
bitcs-7654	95	2	1	1	NUM
bitcs-7654	95	3	.	.	PUNCT
bitcs-7654	95	4	correlational	correlational	ADJ
bitcs-7654	95	5	heatmap	heatmap	NOUN
bitcs-7654	95	6	for	for	ADP
bitcs-7654	95	7	heart	heart	NOUN
bitcs-7654	95	8	stroke	stroke	NOUN
bitcs-7654	95	9	dataset	dataset	PROPN
bitcs-7654	95	10	vol	vol	NOUN
bitcs-7654	95	11	.	.	PROPN
bitcs-7654	96	1	6	6	NUM
bitcs-7654	96	2	,	,	PUNCT
bitcs-7654	96	3	no.1	no.1	NUM
bitcs-7654	96	4	,	,	PUNCT
bitcs-7654	96	5	january	january	NOUN
bitcs-7654	96	6	2025	2025	NUM
bitcs-7654	97	1	|	|	ADV
bitcs-7654	97	2	50	50	NUM
bitcs-7654	97	3	b.	b.	NOUN
bitcs-7654	97	4	preparing	prepare	VERB
bitcs-7654	97	5	data	datum	NOUN
bitcs-7654	97	6	we	we	PRON
bitcs-7654	97	7	first	first	ADV
bitcs-7654	97	8	eliminate	eliminate	VERB
bitcs-7654	97	9	the	the	DET
bitcs-7654	97	10	missing	miss	VERB
bitcs-7654	97	11	values	value	NOUN
bitcs-7654	97	12	to	to	PART
bitcs-7654	97	13	prepare	prepare	VERB
bitcs-7654	97	14	quality	quality	NOUN
bitcs-7654	97	15	and	and	CCONJ
bitcs-7654	97	16	reliable	reliable	ADJ
bitcs-7654	97	17	data	datum	NOUN
bitcs-7654	97	18	.	.	PUNCT
bitcs-7654	98	1	we	we	PRON
bitcs-7654	98	2	removed	remove	VERB
bitcs-7654	98	3	six	six	NUM
bitcs-7654	98	4	items	item	NOUN
bitcs-7654	98	5	in	in	ADP
bitcs-7654	98	6	the	the	DET
bitcs-7654	98	7	cleveland	cleveland	PROPN
bitcs-7654	98	8	dataset	dataset	VERB
bitcs-7654	98	9	due	due	ADP
bitcs-7654	98	10	to	to	ADP
bitcs-7654	98	11	missing	miss	VERB
bitcs-7654	98	12	data	datum	NOUN
bitcs-7654	98	13	.	.	PUNCT
bitcs-7654	99	1	so	so	ADV
bitcs-7654	99	2	the	the	DET
bitcs-7654	99	3	record	record	NOUN
bitcs-7654	99	4	reduces	reduce	VERB
bitcs-7654	99	5	from	from	ADP
bitcs-7654	99	6	331	331	NUM
bitcs-7654	99	7	to	to	ADP
bitcs-7654	99	8	297	297	NUM
bitcs-7654	99	9	records	record	NOUN
bitcs-7654	99	10	.	.	PUNCT
bitcs-7654	100	1	in	in	ADP
bitcs-7654	100	2	the	the	DET
bitcs-7654	100	3	following	follow	VERB
bitcs-7654	100	4	iterations	iteration	NOUN
bitcs-7654	100	5	,	,	PUNCT
bitcs-7654	100	6	we	we	PRON
bitcs-7654	100	7	focused	focus	VERB
bitcs-7654	100	8	on	on	ADP
bitcs-7654	100	9	shrinking	shrink	VERB
bitcs-7654	100	10	the	the	DET
bitcs-7654	100	11	multiclass	multiclass	ADJ
bitcs-7654	100	12	values	value	NOUN
bitcs-7654	100	13	of	of	ADP
bitcs-7654	100	14	the	the	DET
bitcs-7654	100	15	predicted	predict	VERB
bitcs-7654	100	16	attribute	attribute	NOUN
bitcs-7654	100	17	,	,	PUNCT
bitcs-7654	100	18	the	the	DET
bitcs-7654	100	19	presence	presence	NOUN
bitcs-7654	100	20	of	of	ADP
bitcs-7654	100	21	heart	heart	NOUN
bitcs-7654	100	22	disease	disease	NOUN
bitcs-7654	100	23	,	,	PUNCT
bitcs-7654	100	24	into	into	ADP
bitcs-7654	100	25	binary	binary	ADJ
bitcs-7654	100	26	values	value	NOUN
bitcs-7654	100	27	.	.	PUNCT
bitcs-7654	101	1	for	for	ADP
bitcs-7654	101	2	this	this	DET
bitcs-7654	101	3	transformation	transformation	NOUN
bitcs-7654	101	4	,	,	PUNCT
bitcs-7654	101	5	we	we	PRON
bitcs-7654	101	6	took	take	VERB
bitcs-7654	101	7	a	a	DET
bitcs-7654	101	8	value	value	NOUN
bitcs-7654	101	9	of	of	ADP
bitcs-7654	101	10	0	0	NUM
bitcs-7654	101	11	to	to	PART
bitcs-7654	101	12	indicate	indicate	VERB
bitcs-7654	101	13	the	the	DET
bitcs-7654	101	14	absence	absence	NOUN
bitcs-7654	101	15	of	of	ADP
bitcs-7654	101	16	hd	hd	NOUN
bitcs-7654	101	17	and	and	CCONJ
bitcs-7654	101	18	1	1	NUM
bitcs-7654	101	19	to	to	PART
bitcs-7654	101	20	indicate	indicate	VERB
bitcs-7654	101	21	the	the	DET
bitcs-7654	101	22	presence	presence	NOUN
bitcs-7654	101	23	of	of	ADP
bitcs-7654	101	24	hd	hd	NOUN
bitcs-7654	101	25	.	.	PUNCT
bitcs-7654	102	1	we	we	PRON
bitcs-7654	102	2	then	then	ADV
bitcs-7654	102	3	standardized	standardize	VERB
bitcs-7654	102	4	the	the	DET
bitcs-7654	102	5	data	datum	NOUN
bitcs-7654	102	6	by	by	ADP
bitcs-7654	102	7	converting	convert	VERB
bitcs-7654	102	8	all	all	DET
bitcs-7654	102	9	diagnostic	diagnostic	ADJ
bitcs-7654	102	10	values	value	NOUN
bitcs-7654	102	11	from	from	ADP
bitcs-7654	102	12	2	2	NUM
bitcs-7654	102	13	to	to	ADP
bitcs-7654	102	14	4	4	NUM
bitcs-7654	102	15	into	into	ADP
bitcs-7654	102	16	1	1	NUM
bitcs-7654	102	17	,	,	PUNCT
bitcs-7654	102	18	thus	thus	ADV
bitcs-7654	102	19	increasing	increase	VERB
bitcs-7654	102	20	the	the	DET
bitcs-7654	102	21	number	number	NOUN
bitcs-7654	102	22	of	of	ADP
bitcs-7654	102	23	our	our	PRON
bitcs-7654	102	24	dataset	dataset	NOUN
bitcs-7654	102	25	.	.	PUNCT
bitcs-7654	103	1	in	in	ADP
bitcs-7654	103	2	this	this	DET
bitcs-7654	103	3	way	way	NOUN
bitcs-7654	103	4	,	,	PUNCT
bitcs-7654	103	5	the	the	DET
bitcs-7654	103	6	dataset	dataset	NOUN
bitcs-7654	103	7	had	have	VERB
bitcs-7654	103	8	the	the	DET
bitcs-7654	103	9	quantity	quantity	NOUN
bitcs-7654	103	10	of	of	ADP
bitcs-7654	103	11	diagnostic	diagnostic	ADJ
bitcs-7654	103	12	values	value	NOUN
bitcs-7654	103	13	set	set	VERB
bitcs-7654	103	14	to	to	ADP
bitcs-7654	103	15	0	0	NUM
bitcs-7654	103	16	or	or	CCONJ
bitcs-7654	103	17	1	1	NUM
bitcs-7654	103	18	,	,	PUNCT
bitcs-7654	103	19	where	where	SCONJ
bitcs-7654	103	20	0	0	NUM
bitcs-7654	103	21	meant	mean	VERB
bitcs-7654	103	22	a	a	DET
bitcs-7654	103	23	lack	lack	NOUN
bitcs-7654	103	24	of	of	ADP
bitcs-7654	103	25	hd	hd	NOUN
bitcs-7654	103	26	and	and	CCONJ
bitcs-7654	103	27	1	1	NUM
bitcs-7654	103	28	meant	mean	VERB
bitcs-7654	103	29	existence	existence	NOUN
bitcs-7654	103	30	.	.	PUNCT
bitcs-7654	104	1	the	the	DET
bitcs-7654	104	2	two	two	NUM
bitcs-7654	104	3	main	main	ADJ
bitcs-7654	104	4	parts	part	NOUN
bitcs-7654	104	5	of	of	ADP
bitcs-7654	104	6	the	the	DET
bitcs-7654	104	7	data	datum	NOUN
bitcs-7654	104	8	set	set	VERB
bitcs-7654	104	9	are	be	AUX
bitcs-7654	104	10	characteristics	characteristic	NOUN
bitcs-7654	104	11	and	and	CCONJ
bitcs-7654	104	12	the	the	DET
bitcs-7654	104	13	target	target	NOUN
bitcs-7654	104	14	variable	variable	NOUN
bitcs-7654	104	15	for	for	ADP
bitcs-7654	104	16	developing	develop	VERB
bitcs-7654	104	17	our	our	PRON
bitcs-7654	104	18	predictive	predictive	ADJ
bitcs-7654	104	19	model	model	NOUN
bitcs-7654	104	20	for	for	ADP
bitcs-7654	104	21	heart	heart	NOUN
bitcs-7654	104	22	diseases	disease	NOUN
bitcs-7654	104	23	.	.	PUNCT
bitcs-7654	105	1	standard	standard	ADJ
bitcs-7654	105	2	independent	independent	ADJ
bitcs-7654	105	3	variables	variable	NOUN
bitcs-7654	105	4	that	that	PRON
bitcs-7654	105	5	can	can	AUX
bitcs-7654	105	6	be	be	AUX
bitcs-7654	105	7	featured	feature	VERB
bitcs-7654	105	8	include	include	VERB
bitcs-7654	105	9	age	age	NOUN
bitcs-7654	105	10	,	,	PUNCT
bitcs-7654	105	11	gender	gender	NOUN
bitcs-7654	105	12	,	,	PUNCT
bitcs-7654	105	13	type	type	NOUN
bitcs-7654	105	14	of	of	ADP
bitcs-7654	105	15	chest	chest	NOUN
bitcs-7654	105	16	pain	pain	NOUN
bitcs-7654	105	17	experienced	experience	VERB
bitcs-7654	105	18	,	,	PUNCT
bitcs-7654	105	19	and	and	CCONJ
bitcs-7654	105	20	other	other	ADJ
bitcs-7654	105	21	physiology	physiology	NOUN
bitcs-7654	105	22	-	-	PUNCT
bitcs-7654	105	23	related	relate	VERB
bitcs-7654	105	24	parameters	parameter	NOUN
bitcs-7654	105	25	.	.	PUNCT
bitcs-7654	106	1	these	these	DET
bitcs-7654	106	2	attributes	attribute	NOUN
bitcs-7654	106	3	are	be	AUX
bitcs-7654	106	4	given	give	VERB
bitcs-7654	106	5	as	as	ADP
bitcs-7654	106	6	input	input	NOUN
bitcs-7654	106	7	to	to	ADP
bitcs-7654	106	8	our	our	PRON
bitcs-7654	106	9	model	model	NOUN
bitcs-7654	106	10	so	so	SCONJ
bitcs-7654	106	11	that	that	SCONJ
bitcs-7654	106	12	it	it	PRON
bitcs-7654	106	13	can	can	AUX
bitcs-7654	106	14	learn	learn	VERB
bitcs-7654	106	15	and	and	CCONJ
bitcs-7654	106	16	give	give	VERB
bitcs-7654	106	17	predictions	prediction	NOUN
bitcs-7654	106	18	.	.	PUNCT
bitcs-7654	107	1	but	but	CCONJ
bitcs-7654	107	2	the	the	DET
bitcs-7654	107	3	dependent	dependent	ADJ
bitcs-7654	107	4	variable	variable	NOUN
bitcs-7654	107	5	,	,	PUNCT
bitcs-7654	107	6	or	or	CCONJ
bitcs-7654	107	7	target	target	NOUN
bitcs-7654	107	8	variable	variable	NOUN
bitcs-7654	107	9	,	,	PUNCT
bitcs-7654	107	10	will	will	AUX
bitcs-7654	107	11	be	be	AUX
bitcs-7654	107	12	the	the	DET
bitcs-7654	107	13	output	output	NOUN
bitcs-7654	107	14	for	for	ADP
bitcs-7654	107	15	which	which	PRON
bitcs-7654	107	16	we	we	PRON
bitcs-7654	107	17	are	be	AUX
bitcs-7654	107	18	trying	try	VERB
bitcs-7654	107	19	to	to	PART
bitcs-7654	107	20	make	make	VERB
bitcs-7654	107	21	the	the	DET
bitcs-7654	107	22	prediction	prediction	NOUN
bitcs-7654	107	23	:	:	PUNCT
bitcs-7654	107	24	whether	whether	SCONJ
bitcs-7654	107	25	a	a	DET
bitcs-7654	107	26	patient	patient	NOUN
bitcs-7654	107	27	has	have	VERB
bitcs-7654	107	28	heart	heart	NOUN
bitcs-7654	107	29	disease	disease	NOUN
bitcs-7654	107	30	.	.	PUNCT
bitcs-7654	108	1	decoupling	decouple	VERB
bitcs-7654	108	2	features	feature	NOUN
bitcs-7654	108	3	from	from	ADP
bitcs-7654	108	4	the	the	DET
bitcs-7654	108	5	target	target	NOUN
bitcs-7654	108	6	variables	variable	NOUN
bitcs-7654	108	7	is	be	AUX
bitcs-7654	108	8	another	another	DET
bitcs-7654	108	9	essential	essential	ADJ
bitcs-7654	108	10	part	part	NOUN
bitcs-7654	108	11	of	of	ADP
bitcs-7654	108	12	preparing	prepare	VERB
bitcs-7654	108	13	the	the	DET
bitcs-7654	108	14	dataset	dataset	NOUN
bitcs-7654	108	15	for	for	ADP
bitcs-7654	108	16	training	training	NOUN
bitcs-7654	108	17	and	and	CCONJ
bitcs-7654	108	18	evaluation	evaluation	NOUN
bitcs-7654	108	19	with	with	ADP
bitcs-7654	108	20	models	model	NOUN
bitcs-7654	108	21	.	.	PUNCT
bitcs-7654	109	1	this	this	PRON
bitcs-7654	109	2	would	would	AUX
bitcs-7654	109	3	otherwise	otherwise	ADV
bitcs-7654	109	4	be	be	AUX
bitcs-7654	109	5	an	an	DET
bitcs-7654	109	6	oversight	oversight	NOUN
bitcs-7654	109	7	.	.	PUNCT
bitcs-7654	110	1	it	it	PRON
bitcs-7654	110	2	enables	enable	VERB
bitcs-7654	110	3	us	we	PRON
bitcs-7654	110	4	to	to	PART
bitcs-7654	110	5	feed	feed	VERB
bitcs-7654	110	6	the	the	DET
bitcs-7654	110	7	correct	correct	ADJ
bitcs-7654	110	8	data	datum	NOUN
bitcs-7654	110	9	into	into	ADP
bitcs-7654	110	10	our	our	PRON
bitcs-7654	110	11	model	model	NOUN
bitcs-7654	110	12	so	so	SCONJ
bitcs-7654	110	13	that	that	SCONJ
bitcs-7654	110	14	we	we	PRON
bitcs-7654	110	15	can	can	AUX
bitcs-7654	110	16	test	test	VERB
bitcs-7654	110	17	the	the	DET
bitcs-7654	110	18	predictions	prediction	NOUN
bitcs-7654	110	19	with	with	ADP
bitcs-7654	110	20	accuracy	accuracy	NOUN
bitcs-7654	110	21	.	.	PUNCT
bitcs-7654	111	1	after	after	ADP
bitcs-7654	111	2	normalization	normalization	NOUN
bitcs-7654	111	3	and	and	CCONJ
bitcs-7654	111	4	pre	pre	ADJ
bitcs-7654	111	5	-	-	ADJ
bitcs-7654	111	6	processing	processing	NOUN
bitcs-7654	111	7	,	,	PUNCT
bitcs-7654	111	8	the	the	DET
bitcs-7654	111	9	data	datum	NOUN
bitcs-7654	111	10	set	set	VERB
bitcs-7654	111	11	must	must	AUX
bitcs-7654	111	12	be	be	AUX
bitcs-7654	111	13	divided	divide	VERB
bitcs-7654	111	14	into	into	ADP
bitcs-7654	111	15	training	training	NOUN
bitcs-7654	111	16	and	and	CCONJ
bitcs-7654	111	17	testing	testing	NOUN
bitcs-7654	111	18	sets	set	NOUN
bitcs-7654	111	19	.	.	PUNCT
bitcs-7654	112	1	the	the	DET
bitcs-7654	112	2	80:20	80:20	NUM
bitcs-7654	112	3	popular	popular	ADJ
bitcs-7654	112	4	approach	approach	NOUN
bitcs-7654	112	5	splits	split	VERB
bitcs-7654	112	6	the	the	DET
bitcs-7654	112	7	heart	heart	NOUN
bitcs-7654	112	8	disease	disease	NOUN
bitcs-7654	112	9	data	datum	NOUN
bitcs-7654	112	10	set	set	VERB
bitcs-7654	112	11	.	.	PUNCT
bitcs-7654	113	1	eighty	eighty	NUM
bitcs-7654	113	2	percent	percent	NOUN
bitcs-7654	113	3	of	of	ADP
bitcs-7654	113	4	the	the	DET
bitcs-7654	113	5	data	datum	NOUN
bitcs-7654	113	6	is	be	AUX
bitcs-7654	113	7	used	use	VERB
bitcs-7654	113	8	to	to	PART
bitcs-7654	113	9	train	train	VERB
bitcs-7654	113	10	the	the	DET
bitcs-7654	113	11	model	model	NOUN
bitcs-7654	113	12	,	,	PUNCT
bitcs-7654	113	13	and	and	CCONJ
bitcs-7654	113	14	twenty	twenty	NUM
bitcs-7654	113	15	percent	percent	NOUN
bitcs-7654	113	16	to	to	PART
bitcs-7654	113	17	test	test	VERB
bitcs-7654	113	18	the	the	DET
bitcs-7654	113	19	model	model	NOUN
bitcs-7654	113	20	.	.	PUNCT
bitcs-7654	114	1	by	by	ADP
bitcs-7654	114	2	using	use	VERB
bitcs-7654	114	3	the	the	DET
bitcs-7654	114	4	training	training	NOUN
bitcs-7654	114	5	set	set	NOUN
bitcs-7654	114	6	,	,	PUNCT
bitcs-7654	114	7	data	datum	NOUN
bitcs-7654	114	8	is	be	AUX
bitcs-7654	114	9	given	give	VERB
bitcs-7654	114	10	to	to	ADP
bitcs-7654	114	11	our	our	PRON
bitcs-7654	114	12	model	model	NOUN
bitcs-7654	114	13	for	for	ADP
bitcs-7654	114	14	learning	learn	VERB
bitcs-7654	114	15	from	from	ADP
bitcs-7654	114	16	it	it	PRON
bitcs-7654	114	17	and	and	CCONJ
bitcs-7654	114	18	the	the	DET
bitcs-7654	114	19	testing	testing	NOUN
bitcs-7654	114	20	data	datum	NOUN
bitcs-7654	114	21	set	set	VERB
bitcs-7654	114	22	is	be	AUX
bitcs-7654	114	23	applied	apply	VERB
bitcs-7654	114	24	to	to	PART
bitcs-7654	114	25	test	test	VERB
bitcs-7654	114	26	the	the	DET
bitcs-7654	114	27	model	model	NOUN
bitcs-7654	114	28	for	for	ADP
bitcs-7654	114	29	good	good	ADJ
bitcs-7654	114	30	performance	performance	NOUN
bitcs-7654	114	31	.	.	PUNCT
bitcs-7654	115	1	c.	c.	PROPN
bitcs-7654	115	2	multilayer	multilayer	PROPN
bitcs-7654	115	3	perceptron	perceptron	PROPN
bitcs-7654	115	4	(	(	PUNCT
bitcs-7654	115	5	mlp	mlp	PROPN
bitcs-7654	115	6	)	)	PUNCT
bitcs-7654	115	7	multilayer	multilayer	PROPN
bitcs-7654	115	8	perceptron	perceptron	PROPN
bitcs-7654	115	9	is	be	AUX
bitcs-7654	115	10	a	a	DET
bitcs-7654	115	11	primary	primary	ADJ
bitcs-7654	115	12	type	type	NOUN
bitcs-7654	115	13	of	of	ADP
bitcs-7654	115	14	artificial	artificial	ADJ
bitcs-7654	115	15	neural	neural	ADJ
bitcs-7654	115	16	network	network	NOUN
bitcs-7654	115	17	,	,	PUNCT
bitcs-7654	115	18	including	include	VERB
bitcs-7654	115	19	layers	layer	NOUN
bitcs-7654	115	20	of	of	ADP
bitcs-7654	115	21	interacting	interact	VERB
bitcs-7654	115	22	nodes	node	NOUN
bitcs-7654	115	23	or	or	CCONJ
bitcs-7654	115	24	neurons	neuron	NOUN
bitcs-7654	115	25	.	.	PUNCT
bitcs-7654	116	1	it	it	PRON
bitcs-7654	116	2	consists	consist	VERB
bitcs-7654	116	3	of	of	ADP
bitcs-7654	116	4	one	one	NUM
bitcs-7654	116	5	input	input	NOUN
bitcs-7654	116	6	layer	layer	NOUN
bitcs-7654	116	7	,	,	PUNCT
bitcs-7654	116	8	one	one	NUM
bitcs-7654	116	9	or	or	CCONJ
bitcs-7654	116	10	various	various	ADJ
bitcs-7654	116	11	hidden	hidden	ADJ
bitcs-7654	116	12	layers	layer	NOUN
bitcs-7654	116	13	,	,	PUNCT
bitcs-7654	116	14	and	and	CCONJ
bitcs-7654	116	15	one	one	NUM
bitcs-7654	116	16	output	output	NOUN
bitcs-7654	116	17	layer	layer	NOUN
bitcs-7654	116	18	.	.	PUNCT
bitcs-7654	117	1	there	there	PRON
bitcs-7654	117	2	are	be	VERB
bitcs-7654	117	3	built	build	VERB
bitcs-7654	117	4	-	-	PUNCT
bitcs-7654	117	5	in	in	ADP
bitcs-7654	117	6	capabilities	capability	NOUN
bitcs-7654	117	7	to	to	PART
bitcs-7654	117	8	learn	learn	VERB
bitcs-7654	117	9	complex	complex	ADJ
bitcs-7654	117	10	patterns	pattern	NOUN
bitcs-7654	117	11	in	in	ADP
bitcs-7654	117	12	the	the	DET
bitcs-7654	117	13	data	datum	NOUN
bitcs-7654	117	14	and	and	CCONJ
bitcs-7654	117	15	relationships	relationship	NOUN
bitcs-7654	117	16	among	among	ADP
bitcs-7654	117	17	them	they	PRON
bitcs-7654	117	18	.	.	PUNCT
bitcs-7654	118	1	in	in	ADP
bitcs-7654	118	2	an	an	DET
bitcs-7654	118	3	mlp	mlp	NOUN
bitcs-7654	118	4	,	,	PUNCT
bitcs-7654	118	5	each	each	DET
bitcs-7654	118	6	neuron	neuron	NOUN
bitcs-7654	118	7	receives	receive	VERB
bitcs-7654	118	8	input	input	NOUN
bitcs-7654	118	9	,	,	PUNCT
bitcs-7654	118	10	performs	perform	VERB
bitcs-7654	118	11	a	a	DET
bitcs-7654	118	12	linear	linear	ADJ
bitcs-7654	118	13	combination	combination	NOUN
bitcs-7654	118	14	,	,	PUNCT
bitcs-7654	118	15	applies	apply	VERB
bitcs-7654	118	16	a	a	DET
bitcs-7654	118	17	non	non	ADJ
bitcs-7654	118	18	-	-	ADJ
bitcs-7654	118	19	linear	linear	ADJ
bitcs-7654	118	20	activation	activation	NOUN
bitcs-7654	118	21	function	function	NOUN
bitcs-7654	118	22	,	,	PUNCT
bitcs-7654	118	23	and	and	CCONJ
bitcs-7654	118	24	then	then	ADV
bitcs-7654	118	25	passes	pass	VERB
bitcs-7654	118	26	the	the	DET
bitcs-7654	118	27	results	result	NOUN
bitcs-7654	118	28	to	to	ADP
bitcs-7654	118	29	the	the	DET
bitcs-7654	118	30	next	next	ADJ
bitcs-7654	118	31	layer	layer	NOUN
bitcs-7654	118	32	.	.	PUNCT
bitcs-7654	119	1	mlps	mlp	NOUN
bitcs-7654	119	2	have	have	AUX
bitcs-7654	119	3	been	be	AUX
bitcs-7654	119	4	used	use	VERB
bitcs-7654	119	5	in	in	ADP
bitcs-7654	119	6	nearly	nearly	ADV
bitcs-7654	119	7	all	all	PRON
bitcs-7654	119	8	fields	field	NOUN
bitcs-7654	119	9	of	of	ADP
bitcs-7654	119	10	classification	classification	NOUN
bitcs-7654	119	11	and	and	CCONJ
bitcs-7654	119	12	regression	regression	NOUN
bitcs-7654	119	13	as	as	ADV
bitcs-7654	119	14	well	well	ADV
bitcs-7654	119	15	as	as	ADP
bitcs-7654	119	16	pattern	pattern	NOUN
bitcs-7654	119	17	recognition	recognition	NOUN
bitcs-7654	119	18	problems	problem	NOUN
bitcs-7654	119	19	since	since	SCONJ
bitcs-7654	119	20	they	they	PRON
bitcs-7654	119	21	can	can	AUX
bitcs-7654	119	22	theoretically	theoretically	ADV
bitcs-7654	119	23	approximate	approximate	VERB
bitcs-7654	119	24	any	any	DET
bitcs-7654	119	25	function	function	NOUN
bitcs-7654	119	26	that	that	PRON
bitcs-7654	119	27	contains	contain	VERB
bitcs-7654	119	28	discontinuities	discontinuity	NOUN
bitcs-7654	119	29	with	with	ADP
bitcs-7654	119	30	appropriate	appropriate	ADJ
bitcs-7654	119	31	data	datum	NOUN
bitcs-7654	119	32	and	and	CCONJ
bitcs-7654	119	33	computational	computational	ADJ
bitcs-7654	119	34	resourcing	resourcing	NOUN
bitcs-7654	119	35	.	.	PUNCT
bitcs-7654	120	1	in	in	ADP
bitcs-7654	120	2	the	the	DET
bitcs-7654	120	3	context	context	NOUN
bitcs-7654	120	4	of	of	ADP
bitcs-7654	120	5	our	our	PRON
bitcs-7654	120	6	heart	heart	NOUN
bitcs-7654	120	7	disease	disease	NOUN
bitcs-7654	120	8	prediction	prediction	NOUN
bitcs-7654	120	9	,	,	PUNCT
bitcs-7654	120	10	mlps	mlp	NOUN
bitcs-7654	120	11	can	can	AUX
bitcs-7654	120	12	learn	learn	VERB
bitcs-7654	120	13	from	from	ADP
bitcs-7654	120	14	these	these	DET
bitcs-7654	120	15	features	feature	NOUN
bitcs-7654	120	16	to	to	PART
bitcs-7654	120	17	classify	classify	VERB
bitcs-7654	120	18	patterns	pattern	NOUN
bitcs-7654	120	19	in	in	ADP
bitcs-7654	120	20	the	the	DET
bitcs-7654	120	21	data	datum	NOUN
bitcs-7654	120	22	as	as	ADP
bitcs-7654	120	23	a	a	DET
bitcs-7654	120	24	sign	sign	NOUN
bitcs-7654	120	25	of	of	ADP
bitcs-7654	120	26	the	the	DET
bitcs-7654	120	27	presence	presence	NOUN
bitcs-7654	120	28	or	or	CCONJ
bitcs-7654	120	29	absence	absence	NOUN
bitcs-7654	120	30	of	of	ADP
bitcs-7654	120	31	heart	heart	NOUN
bitcs-7654	120	32	disease	disease	NOUN
bitcs-7654	120	33	.	.	PUNCT
bitcs-7654	121	1	d.	d.	PROPN
bitcs-7654	121	2	evaluation	evaluation	NOUN
bitcs-7654	121	3	measures	measure	VERB
bitcs-7654	121	4	various	various	ADJ
bitcs-7654	121	5	emulation	emulation	NOUN
bitcs-7654	121	6	measures	measure	NOUN
bitcs-7654	121	7	were	be	AUX
bitcs-7654	121	8	used	use	VERB
bitcs-7654	121	9	to	to	PART
bitcs-7654	121	10	determine	determine	VERB
bitcs-7654	121	11	how	how	SCONJ
bitcs-7654	121	12	much	much	ADJ
bitcs-7654	121	13	the	the	DET
bitcs-7654	121	14	model	model	NOUN
bitcs-7654	121	15	could	could	AUX
bitcs-7654	121	16	predict	predict	VERB
bitcs-7654	121	17	heart	heart	NOUN
bitcs-7654	121	18	diseases	disease	NOUN
bitcs-7654	121	19	.	.	PUNCT
bitcs-7654	122	1	these	these	PRON
bitcs-7654	122	2	are	be	AUX
bitcs-7654	122	3	accuracy	accuracy	NOUN
bitcs-7654	122	4	,	,	PUNCT
bitcs-7654	122	5	precision	precision	NOUN
bitcs-7654	122	6	,	,	PUNCT
bitcs-7654	122	7	recall	recall	NOUN
bitcs-7654	122	8	,	,	PUNCT
bitcs-7654	122	9	and	and	CCONJ
bitcs-7654	122	10	f1	f1	NOUN
bitcs-7654	122	11	-	-	PUNCT
bitcs-7654	122	12	score	score	NOUN
bitcs-7654	122	13	.	.	PUNCT
bitcs-7654	123	1	accuracy	accuracy	NOUN
bitcs-7654	123	2	:	:	PUNCT
bitcs-7654	123	3	percentage	percentage	NOUN
bitcs-7654	123	4	of	of	ADP
bitcs-7654	123	5	cases	case	NOUN
bitcs-7654	123	6	that	that	PRON
bitcs-7654	123	7	were	be	AUX
bitcs-7654	123	8	classified	classify	VERB
bitcs-7654	123	9	correctly	correctly	ADV
bitcs-7654	123	10	relative	relative	ADJ
bitcs-7654	123	11	to	to	ADP
bitcs-7654	123	12	the	the	DET
bitcs-7654	123	13	total	total	ADJ
bitcs-7654	123	14	number	number	NOUN
bitcs-7654	123	15	of	of	ADP
bitcs-7654	123	16	cases	case	NOUN
bitcs-7654	123	17	.	.	PUNCT
bitcs-7654	124	1	a	a	DET
bitcs-7654	124	2	model	model	NOUN
bitcs-7654	124	3	is	be	AUX
bitcs-7654	124	4	considered	consider	VERB
bitcs-7654	124	5	dependable	dependable	ADJ
bitcs-7654	124	6	in	in	ADP
bitcs-7654	124	7	predicting	predict	VERB
bitcs-7654	124	8	cardiac	cardiac	ADJ
bitcs-7654	124	9	problems	problem	NOUN
bitcs-7654	124	10	,	,	PUNCT
bitcs-7654	124	11	and	and	CCONJ
bitcs-7654	124	12	the	the	DET
bitcs-7654	124	13	more	more	ADV
bitcs-7654	124	14	accurate	accurate	ADJ
bitcs-7654	124	15	it	it	PRON
bitcs-7654	124	16	is	be	AUX
bitcs-7654	124	17	.	.	PUNCT
bitcs-7654	125	1	𝐴𝑐𝑐	𝐴𝑐𝑐	NOUN
bitcs-7654	125	2	=	=	SYM
bitcs-7654	125	3	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	125	4	+	+	CCONJ
bitcs-7654	125	5	𝑇𝑁	𝑇𝑁	PROPN
bitcs-7654	125	6	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	125	7	+	+	CCONJ
bitcs-7654	125	8	𝑇𝑁	𝑇𝑁	PROPN
bitcs-7654	125	9	+	+	NUM
bitcs-7654	125	10	𝐹𝑃	𝐹𝑃	NOUN
bitcs-7654	126	1	+	+	CCONJ
bitcs-7654	126	2	𝐹𝑁	𝐹𝑁	PROPN
bitcs-7654	126	3	(	(	PUNCT
bitcs-7654	126	4	1	1	NUM
bitcs-7654	126	5	)	)	PUNCT
bitcs-7654	126	6	precision	precision	NOUN
bitcs-7654	126	7	:	:	PUNCT
bitcs-7654	126	8	the	the	DET
bitcs-7654	126	9	accuracy	accuracy	NOUN
bitcs-7654	126	10	of	of	ADP
bitcs-7654	126	11	the	the	DET
bitcs-7654	126	12	model	model	NOUN
bitcs-7654	126	13	is	be	AUX
bitcs-7654	126	14	measured	measure	VERB
bitcs-7654	126	15	in	in	ADP
bitcs-7654	126	16	terms	term	NOUN
bitcs-7654	126	17	of	of	ADP
bitcs-7654	126	18	how	how	SCONJ
bitcs-7654	126	19	many	many	ADJ
bitcs-7654	126	20	positive	positive	ADJ
bitcs-7654	126	21	instances	instance	NOUN
bitcs-7654	126	22	have	have	AUX
bitcs-7654	126	23	been	be	AUX
bitcs-7654	126	24	correctly	correctly	ADV
bitcs-7654	126	25	predicted	predict	VERB
bitcs-7654	126	26	by	by	ADP
bitcs-7654	126	27	the	the	DET
bitcs-7654	126	28	total	total	ADJ
bitcs-7654	126	29	amount	amount	NOUN
bitcs-7654	126	30	of	of	ADP
bitcs-7654	126	31	positive	positive	ADJ
bitcs-7654	126	32	cases	case	NOUN
bitcs-7654	126	33	.	.	PUNCT
bitcs-7654	127	1	the	the	DET
bitcs-7654	127	2	exact	exact	ADJ
bitcs-7654	127	3	identification	identification	NOUN
bitcs-7654	127	4	of	of	ADP
bitcs-7654	127	5	people	people	NOUN
bitcs-7654	127	6	with	with	ADP
bitcs-7654	127	7	heart	heart	NOUN
bitcs-7654	127	8	disease	disease	NOUN
bitcs-7654	127	9	helps	help	VERB
bitcs-7654	127	10	avoid	avoid	VERB
bitcs-7654	127	11	many	many	ADJ
bitcs-7654	127	12	false	false	ADJ
bitcs-7654	127	13	positives	positive	NOUN
bitcs-7654	127	14	.	.	PUNCT
bitcs-7654	128	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
bitcs-7654	128	2	=	=	SYM
bitcs-7654	128	3	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	128	4	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	128	5	+	+	CCONJ
bitcs-7654	128	6	𝐹𝑃	𝐹𝑃	PROPN
bitcs-7654	128	7	(	(	PUNCT
bitcs-7654	128	8	2	2	NUM
bitcs-7654	128	9	)	)	PUNCT
bitcs-7654	128	10	recall	recall	NOUN
bitcs-7654	128	11	:	:	PUNCT
bitcs-7654	128	12	sensitivity	sensitivity	NOUN
bitcs-7654	128	13	,	,	PUNCT
bitcs-7654	128	14	also	also	ADV
bitcs-7654	128	15	called	call	VERB
bitcs-7654	128	16	recall	recall	NOUN
bitcs-7654	128	17	,	,	PUNCT
bitcs-7654	128	18	measures	measure	VERB
bitcs-7654	128	19	the	the	DET
bitcs-7654	128	20	ratio	ratio	NOUN
bitcs-7654	128	21	of	of	ADP
bitcs-7654	128	22	true	true	ADJ
bitcs-7654	128	23	positives	positive	NOUN
bitcs-7654	128	24	that	that	PRON
bitcs-7654	128	25	are	be	AUX
bitcs-7654	128	26	successfully	successfully	ADV
bitcs-7654	128	27	anticipated	anticipate	VERB
bitcs-7654	128	28	to	to	ADP
bitcs-7654	128	29	actual	actual	ADJ
bitcs-7654	128	30	positives	positive	NOUN
bitcs-7654	128	31	.	.	PUNCT
bitcs-7654	129	1	it	it	PRON
bitcs-7654	129	2	shows	show	VERB
bitcs-7654	129	3	the	the	DET
bitcs-7654	129	4	model	model	NOUN
bitcs-7654	129	5	's	's	PART
bitcs-7654	129	6	consistency	consistency	NOUN
bitcs-7654	129	7	in	in	ADP
bitcs-7654	129	8	the	the	DET
bitcs-7654	129	9	wrong	wrong	ADJ
bitcs-7654	129	10	detection	detection	NOUN
bitcs-7654	129	11	of	of	ADP
bitcs-7654	129	12	heart	heart	NOUN
bitcs-7654	129	13	problems	problem	NOUN
bitcs-7654	129	14	.	.	PUNCT
bitcs-7654	130	1	vol	vol	NOUN
bitcs-7654	130	2	.	.	PROPN
bitcs-7654	131	1	6	6	NUM
bitcs-7654	131	2	,	,	PUNCT
bitcs-7654	131	3	no.1	no.1	NUM
bitcs-7654	131	4	,	,	PUNCT
bitcs-7654	131	5	january	january	NOUN
bitcs-7654	131	6	2025	2025	NUM
bitcs-7654	132	1	|	|	ADV
bitcs-7654	132	2	51	51	NUM
bitcs-7654	132	3	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
bitcs-7654	132	4	=	=	SYM
bitcs-7654	132	5	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	132	6	𝑇𝑃	𝑇𝑃	PROPN
bitcs-7654	132	7	+	+	CCONJ
bitcs-7654	132	8	𝐹𝑁	𝐹𝑁	PROPN
bitcs-7654	132	9	(	(	PUNCT
bitcs-7654	132	10	3	3	NUM
bitcs-7654	132	11	)	)	PUNCT
bitcs-7654	132	12	f1	f1	NOUN
bitcs-7654	132	13	-	-	PUNCT
bitcs-7654	132	14	score	score	NOUN
bitcs-7654	132	15	:	:	PUNCT
bitcs-7654	132	16	it	it	PRON
bitcs-7654	132	17	is	be	AUX
bitcs-7654	132	18	a	a	DET
bitcs-7654	132	19	metric	metric	NOUN
bitcs-7654	132	20	of	of	ADP
bitcs-7654	132	21	evaluation	evaluation	NOUN
bitcs-7654	132	22	for	for	ADP
bitcs-7654	132	23	a	a	DET
bitcs-7654	132	24	model	model	NOUN
bitcs-7654	132	25	,	,	PUNCT
bitcs-7654	132	26	although	although	SCONJ
bitcs-7654	132	27	its	its	PRON
bitcs-7654	132	28	computation	computation	NOUN
bitcs-7654	132	29	involves	involve	VERB
bitcs-7654	132	30	recall	recall	NOUN
bitcs-7654	132	31	and	and	CCONJ
bitcs-7654	132	32	accuracy	accuracy	NOUN
bitcs-7654	132	33	.	.	PUNCT
bitcs-7654	133	1	given	give	VERB
bitcs-7654	133	2	that	that	SCONJ
bitcs-7654	133	3	both	both	DET
bitcs-7654	133	4	kinds	kind	NOUN
bitcs-7654	133	5	of	of	ADP
bitcs-7654	133	6	wrong	wrong	ADJ
bitcs-7654	133	7	outcomes	outcome	NOUN
bitcs-7654	133	8	,	,	PUNCT
bitcs-7654	133	9	positive	positive	ADJ
bitcs-7654	133	10	and	and	CCONJ
bitcs-7654	133	11	negative	negative	ADJ
bitcs-7654	133	12	,	,	PUNCT
bitcs-7654	133	13	are	be	AUX
bitcs-7654	133	14	taken	take	VERB
bitcs-7654	133	15	into	into	ADP
bitcs-7654	133	16	account	account	NOUN
bitcs-7654	133	17	,	,	PUNCT
bitcs-7654	133	18	this	this	PRON
bitcs-7654	133	19	would	would	AUX
bitcs-7654	133	20	be	be	AUX
bitcs-7654	133	21	a	a	DET
bitcs-7654	133	22	good	good	ADJ
bitcs-7654	133	23	test	test	NOUN
bitcs-7654	133	24	case	case	NOUN
bitcs-7654	133	25	for	for	ADP
bitcs-7654	133	26	models	model	NOUN
bitcs-7654	133	27	on	on	ADP
bitcs-7654	133	28	imbalanced	imbalanced	ADJ
bitcs-7654	133	29	datasets	dataset	NOUN
bitcs-7654	133	30	.	.	PUNCT
bitcs-7654	134	1	𝐹1	𝐹1	PROPN
bitcs-7654	134	2	−	−	PROPN
bitcs-7654	134	3	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
bitcs-7654	134	4	=	=	SYM
bitcs-7654	134	5	2	2	NUM
bitcs-7654	134	6	×	×	NOUN
bitcs-7654	134	7	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
bitcs-7654	134	8	×	×	NOUN
bitcs-7654	134	9	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
bitcs-7654	134	10	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
bitcs-7654	134	11	+	+	CCONJ
bitcs-7654	134	12	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
bitcs-7654	134	13	(	(	PUNCT
bitcs-7654	134	14	4	4	NUM
bitcs-7654	134	15	)	)	PUNCT
bitcs-7654	134	16	iii	iii	PROPN
bitcs-7654	134	17	.	.	NOUN
bitcs-7654	134	18	results	result	NOUN
bitcs-7654	134	19	and	and	CCONJ
bitcs-7654	134	20	discussions	discussion	NOUN
bitcs-7654	134	21	the	the	DET
bitcs-7654	134	22	way	way	NOUN
bitcs-7654	134	23	toward	toward	ADP
bitcs-7654	134	24	an	an	DET
bitcs-7654	134	25	adequate	adequate	ADJ
bitcs-7654	134	26	heart	heart	NOUN
bitcs-7654	134	27	disease	disease	NOUN
bitcs-7654	134	28	prediction	prediction	NOUN
bitcs-7654	134	29	has	have	AUX
bitcs-7654	134	30	been	be	AUX
bitcs-7654	134	31	marred	mar	VERB
bitcs-7654	134	32	with	with	ADP
bitcs-7654	134	33	searching	search	VERB
bitcs-7654	134	34	for	for	ADP
bitcs-7654	134	35	such	such	ADJ
bitcs-7654	134	36	patterns	pattern	NOUN
bitcs-7654	134	37	and	and	CCONJ
bitcs-7654	134	38	rigorous	rigorous	ADJ
bitcs-7654	134	39	evaluation	evaluation	NOUN
bitcs-7654	134	40	of	of	ADP
bitcs-7654	134	41	diverse	diverse	ADJ
bitcs-7654	134	42	methodologies	methodology	NOUN
bitcs-7654	134	43	.	.	PUNCT
bitcs-7654	135	1	in	in	ADP
bitcs-7654	135	2	this	this	DET
bitcs-7654	135	3	work	work	NOUN
bitcs-7654	135	4	,	,	PUNCT
bitcs-7654	135	5	we	we	PRON
bitcs-7654	135	6	tried	try	VERB
bitcs-7654	135	7	to	to	PART
bitcs-7654	135	8	take	take	VERB
bitcs-7654	135	9	out	out	ADP
bitcs-7654	135	10	the	the	DET
bitcs-7654	135	11	mystery	mystery	NOUN
bitcs-7654	135	12	of	of	ADP
bitcs-7654	135	13	the	the	DET
bitcs-7654	135	14	role	role	NOUN
bitcs-7654	135	15	of	of	ADP
bitcs-7654	135	16	machine	machine	NOUN
bitcs-7654	135	17	-	-	PUNCT
bitcs-7654	135	18	learning	learn	VERB
bitcs-7654	135	19	methods	method	NOUN
bitcs-7654	135	20	in	in	ADP
bitcs-7654	135	21	the	the	DET
bitcs-7654	135	22	detection	detection	NOUN
bitcs-7654	135	23	of	of	ADP
bitcs-7654	135	24	subtle	subtle	ADJ
bitcs-7654	135	25	patterns	pattern	NOUN
bitcs-7654	135	26	that	that	PRON
bitcs-7654	135	27	lead	lead	VERB
bitcs-7654	135	28	to	to	ADP
bitcs-7654	135	29	the	the	DET
bitcs-7654	135	30	presence	presence	NOUN
bitcs-7654	135	31	of	of	ADP
bitcs-7654	135	32	heart	heart	NOUN
bitcs-7654	135	33	diseases	disease	NOUN
bitcs-7654	135	34	while	while	SCONJ
bitcs-7654	135	35	focusing	focus	VERB
bitcs-7654	135	36	on	on	ADP
bitcs-7654	135	37	the	the	DET
bitcs-7654	135	38	factors	factor	NOUN
bitcs-7654	135	39	responsible	responsible	ADJ
bitcs-7654	135	40	for	for	ADP
bitcs-7654	135	41	predictive	predictive	ADJ
bitcs-7654	135	42	accuracy	accuracy	NOUN
bitcs-7654	135	43	and	and	CCONJ
bitcs-7654	135	44	reliability	reliability	NOUN
bitcs-7654	135	45	.	.	PUNCT
bitcs-7654	136	1	table	table	NOUN
bitcs-7654	136	2	2	2	NUM
bitcs-7654	136	3	.	.	X
bitcs-7654	136	4	contribution	contribution	NOUN
bitcs-7654	136	5	results	result	NOUN
bitcs-7654	136	6	for	for	ADP
bitcs-7654	136	7	thew	thew	NOUN
bitcs-7654	136	8	heart	heart	NOUN
bitcs-7654	136	9	stroke	stroke	NOUN
bitcs-7654	136	10	prediction	prediction	NOUN
bitcs-7654	136	11	with	with	ADP
bitcs-7654	136	12	mlp	mlp	PROPN
bitcs-7654	136	13	0	0	NUM
bitcs-7654	136	14	1	1	NUM
bitcs-7654	136	15	macro	macro	NOUN
bitcs-7654	136	16	avrg	avrg	PROPN
bitcs-7654	136	17	weighted	weight	VERB
bitcs-7654	136	18	avg	avg	PROPN
bitcs-7654	136	19	precision	precision	PROPN
bitcs-7654	136	20	0.97	0.97	NUM
bitcs-7654	136	21	1.0	1.0	NUM
bitcs-7654	136	22	0.99	0.99	NUM
bitcs-7654	136	23	0.99	0.99	NUM
bitcs-7654	136	24	recall	recall	VERB
bitcs-7654	136	25	1.0	1.0	NUM
bitcs-7654	136	26	0.97	0.97	NUM
bitcs-7654	136	27	0.99	0.99	NUM
bitcs-7654	136	28	0.99	0.99	NUM
bitcs-7654	136	29	f1	f1	NOUN
bitcs-7654	136	30	score	score	NOUN
bitcs-7654	136	31	0.99	0.99	NUM
bitcs-7654	136	32	0.99	0.99	NUM
bitcs-7654	136	33	0.99	0.99	NUM
bitcs-7654	136	34	0.99	0.99	NUM
bitcs-7654	136	35	accuracy	accuracy	NOUN
bitcs-7654	136	36	0.99	0.99	NUM
bitcs-7654	136	37	0.99	0.99	NUM
bitcs-7654	136	38	0.99	0.99	NUM
bitcs-7654	136	39	0.99	0.99	NUM
bitcs-7654	136	40	a.	a.	NOUN
bitcs-7654	136	41	discussion	discussion	NOUN
bitcs-7654	136	42	we	we	PRON
bitcs-7654	136	43	point	point	VERB
bitcs-7654	136	44	out	out	ADP
bitcs-7654	136	45	key	key	ADJ
bitcs-7654	136	46	insights	insight	NOUN
bitcs-7654	136	47	gained	gain	VERB
bitcs-7654	136	48	through	through	ADP
bitcs-7654	136	49	our	our	PRON
bitcs-7654	136	50	investigation	investigation	NOUN
bitcs-7654	136	51	and	and	CCONJ
bitcs-7654	136	52	what	what	PRON
bitcs-7654	136	53	these	these	PRON
bitcs-7654	136	54	mean	mean	VERB
bitcs-7654	136	55	for	for	ADP
bitcs-7654	136	56	future	future	ADJ
bitcs-7654	136	57	research	research	NOUN
bitcs-7654	136	58	and	and	CCONJ
bitcs-7654	136	59	clinical	clinical	ADJ
bitcs-7654	136	60	practice	practice	NOUN
bitcs-7654	136	61	.	.	PUNCT
bitcs-7654	137	1	one	one	NUM
bitcs-7654	137	2	of	of	ADP
bitcs-7654	137	3	the	the	DET
bitcs-7654	137	4	best	good	ADJ
bitcs-7654	137	5	performers	performer	NOUN
bitcs-7654	137	6	in	in	ADP
bitcs-7654	137	7	classification	classification	NOUN
bitcs-7654	137	8	is	be	AUX
bitcs-7654	137	9	a	a	DET
bitcs-7654	137	10	multilayer	multilayer	ADJ
bitcs-7654	137	11	perceptron	perceptron	NOUN
bitcs-7654	137	12	(	(	PUNCT
bitcs-7654	137	13	mlp	mlp	PROPN
bitcs-7654	137	14	)	)	PUNCT
bitcs-7654	137	15	model	model	NOUN
bitcs-7654	137	16	,	,	PUNCT
bitcs-7654	137	17	which	which	PRON
bitcs-7654	137	18	achieved	achieve	VERB
bitcs-7654	137	19	an	an	DET
bitcs-7654	137	20	accuracy	accuracy	NOUN
bitcs-7654	137	21	rate	rate	NOUN
bitcs-7654	137	22	of	of	ADP
bitcs-7654	137	23	99	99	NUM
bitcs-7654	137	24	%	%	NOUN
bitcs-7654	137	25	.	.	PUNCT
bitcs-7654	138	1	the	the	DET
bitcs-7654	138	2	suggested	suggested	ADJ
bitcs-7654	138	3	model	model	NOUN
bitcs-7654	138	4	is	be	AUX
bitcs-7654	138	5	strong	strong	ADJ
bitcs-7654	138	6	and	and	CCONJ
bitcs-7654	138	7	dependable	dependable	ADJ
bitcs-7654	138	8	,	,	PUNCT
bitcs-7654	138	9	as	as	SCONJ
bitcs-7654	138	10	shown	show	VERB
bitcs-7654	138	11	by	by	ADP
bitcs-7654	138	12	the	the	DET
bitcs-7654	138	13	assessment	assessment	NOUN
bitcs-7654	138	14	metrics	metric	NOUN
bitcs-7654	138	15	for	for	ADP
bitcs-7654	138	16	the	the	DET
bitcs-7654	138	17	models	model	NOUN
bitcs-7654	138	18	used	use	VERB
bitcs-7654	138	19	to	to	PART
bitcs-7654	138	20	diagnose	diagnose	VERB
bitcs-7654	138	21	heart	heart	NOUN
bitcs-7654	138	22	disease	disease	NOUN
bitcs-7654	138	23	,	,	PUNCT
bitcs-7654	138	24	which	which	PRON
bitcs-7654	138	25	consistently	consistently	ADV
bitcs-7654	138	26	show	show	VERB
bitcs-7654	138	27	great	great	ADJ
bitcs-7654	138	28	performance	performance	NOUN
bitcs-7654	138	29	across	across	ADP
bitcs-7654	138	30	all	all	DET
bitcs-7654	138	31	measurements	measurement	NOUN
bitcs-7654	138	32	.	.	PUNCT
bitcs-7654	139	1	the	the	DET
bitcs-7654	139	2	model	model	NOUN
bitcs-7654	139	3	was	be	AUX
bitcs-7654	139	4	able	able	ADJ
bitcs-7654	139	5	to	to	PART
bitcs-7654	139	6	get	get	VERB
bitcs-7654	139	7	accuracy	accuracy	NOUN
bitcs-7654	139	8	values	value	NOUN
bitcs-7654	139	9	between	between	ADP
bitcs-7654	139	10	0.97	0.97	NUM
bitcs-7654	139	11	and	and	CCONJ
bitcs-7654	139	12	1.0	1.0	NUM
bitcs-7654	139	13	across	across	ADP
bitcs-7654	139	14	several	several	ADJ
bitcs-7654	139	15	test	test	NOUN
bitcs-7654	139	16	sets	set	NOUN
bitcs-7654	139	17	,	,	PUNCT
bitcs-7654	139	18	to	to	PART
bitcs-7654	139	19	begin	begin	VERB
bitcs-7654	139	20	with	with	ADP
bitcs-7654	139	21	.	.	PUNCT
bitcs-7654	140	1	nearly	nearly	ADV
bitcs-7654	140	2	all	all	PRON
bitcs-7654	140	3	occurrences	occurrence	NOUN
bitcs-7654	140	4	that	that	PRON
bitcs-7654	140	5	were	be	AUX
bitcs-7654	140	6	categorised	categorise	VERB
bitcs-7654	140	7	as	as	ADP
bitcs-7654	140	8	positive	positive	ADJ
bitcs-7654	140	9	were	be	AUX
bitcs-7654	140	10	true	true	ADJ
bitcs-7654	140	11	,	,	PUNCT
bitcs-7654	140	12	according	accord	VERB
bitcs-7654	140	13	to	to	ADP
bitcs-7654	140	14	precision	precision	NOUN
bitcs-7654	140	15	,	,	PUNCT
bitcs-7654	140	16	which	which	PRON
bitcs-7654	140	17	assesses	assess	VERB
bitcs-7654	140	18	the	the	DET
bitcs-7654	140	19	accuracy	accuracy	NOUN
bitcs-7654	140	20	of	of	ADP
bitcs-7654	140	21	the	the	DET
bitcs-7654	140	22	model	model	NOUN
bitcs-7654	140	23	's	's	PART
bitcs-7654	140	24	positive	positive	ADJ
bitcs-7654	140	25	predictions	prediction	NOUN
bitcs-7654	140	26	.	.	PUNCT
bitcs-7654	141	1	important	important	ADJ
bitcs-7654	141	2	in	in	ADP
bitcs-7654	141	3	medical	medical	ADJ
bitcs-7654	141	4	diagnostics	diagnostic	NOUN
bitcs-7654	141	5	for	for	ADP
bitcs-7654	141	6	avoiding	avoid	VERB
bitcs-7654	141	7	needless	needless	ADJ
bitcs-7654	141	8	treatments	treatment	NOUN
bitcs-7654	141	9	or	or	CCONJ
bitcs-7654	141	10	further	further	ADJ
bitcs-7654	141	11	invasive	invasive	ADJ
bitcs-7654	141	12	procedures	procedure	NOUN
bitcs-7654	141	13	,	,	PUNCT
bitcs-7654	141	14	this	this	DET
bitcs-7654	141	15	high	high	ADJ
bitcs-7654	141	16	accuracy	accuracy	NOUN
bitcs-7654	141	17	implies	imply	VERB
bitcs-7654	141	18	that	that	SCONJ
bitcs-7654	141	19	the	the	DET
bitcs-7654	141	20	model	model	NOUN
bitcs-7654	141	21	is	be	AUX
bitcs-7654	141	22	very	very	ADV
bitcs-7654	141	23	good	good	ADJ
bitcs-7654	141	24	at	at	ADP
bitcs-7654	141	25	reducing	reduce	VERB
bitcs-7654	141	26	false	false	ADJ
bitcs-7654	141	27	positives	positive	NOUN
bitcs-7654	141	28	.	.	PUNCT
bitcs-7654	142	1	figure	figure	NOUN
bitcs-7654	142	2	2	2	NUM
bitcs-7654	142	3	.	.	PUNCT
bitcs-7654	143	1	a	a	X
bitcs-7654	143	2	)	)	PUNCT
bitcs-7654	143	3	training	training	NOUN
bitcs-7654	143	4	loss	loss	NOUN
bitcs-7654	143	5	and	and	CCONJ
bitcs-7654	143	6	validation	validation	NOUN
bitcs-7654	143	7	loss	loss	NOUN
bitcs-7654	143	8	is	be	AUX
bitcs-7654	143	9	plotted	plot	VERB
bitcs-7654	143	10	over	over	ADP
bitcs-7654	143	11	graph	graph	NOUN
bitcs-7654	143	12	b	b	NOUN
bitcs-7654	143	13	)	)	PUNCT
bitcs-7654	143	14	training	training	NOUN
bitcs-7654	143	15	accuracy	accuracy	NOUN
bitcs-7654	143	16	is	be	AUX
bitcs-7654	143	17	plotted	plot	VERB
bitcs-7654	143	18	against	against	ADP
bitcs-7654	143	19	validation	validation	NOUN
bitcs-7654	143	20	accuracy	accuracy	NOUN
bitcs-7654	143	21	vol	vol	NOUN
bitcs-7654	143	22	.	.	PROPN
bitcs-7654	143	23	6	6	NUM
bitcs-7654	143	24	,	,	PUNCT
bitcs-7654	143	25	no.1	no.1	NUM
bitcs-7654	143	26	,	,	PUNCT
bitcs-7654	143	27	january	january	NOUN
bitcs-7654	143	28	2025	2025	NUM
bitcs-7654	144	1	|	|	ADV
bitcs-7654	144	2	52	52	NUM
bitcs-7654	144	3	the	the	DET
bitcs-7654	144	4	model	model	NOUN
bitcs-7654	144	5	's	's	PART
bitcs-7654	144	6	recall	recall	NOUN
bitcs-7654	144	7	values	value	NOUN
bitcs-7654	144	8	were	be	AUX
bitcs-7654	144	9	1.0	1.0	NUM
bitcs-7654	144	10	and	and	CCONJ
bitcs-7654	144	11	0.97	0.97	NUM
bitcs-7654	144	12	.	.	PUNCT
bitcs-7654	145	1	according	accord	VERB
bitcs-7654	145	2	to	to	ADP
bitcs-7654	145	3	recall	recall	NOUN
bitcs-7654	145	4	,	,	PUNCT
bitcs-7654	145	5	which	which	PRON
bitcs-7654	145	6	is	be	AUX
bitcs-7654	145	7	a	a	DET
bitcs-7654	145	8	measure	measure	NOUN
bitcs-7654	145	9	of	of	ADP
bitcs-7654	145	10	the	the	DET
bitcs-7654	145	11	model	model	NOUN
bitcs-7654	145	12	's	's	PART
bitcs-7654	145	13	accuracy	accuracy	NOUN
bitcs-7654	145	14	in	in	ADP
bitcs-7654	145	15	identifying	identify	VERB
bitcs-7654	145	16	real	real	ADJ
bitcs-7654	145	17	positive	positive	ADJ
bitcs-7654	145	18	occurrences	occurrence	NOUN
bitcs-7654	145	19	,	,	PUNCT
bitcs-7654	145	20	the	the	DET
bitcs-7654	145	21	model	model	NOUN
bitcs-7654	145	22	does	do	VERB
bitcs-7654	145	23	a	a	DET
bitcs-7654	145	24	great	great	ADJ
bitcs-7654	145	25	job	job	NOUN
bitcs-7654	145	26	of	of	ADP
bitcs-7654	145	27	catching	catch	VERB
bitcs-7654	145	28	almost	almost	ADV
bitcs-7654	145	29	all	all	PRON
bitcs-7654	145	30	genuine	genuine	ADJ
bitcs-7654	145	31	cases	case	NOUN
bitcs-7654	145	32	of	of	ADP
bitcs-7654	145	33	heart	heart	NOUN
bitcs-7654	145	34	disease	disease	NOUN
bitcs-7654	145	35	.	.	PUNCT
bitcs-7654	146	1	to	to	PART
bitcs-7654	146	2	guarantee	guarantee	VERB
bitcs-7654	146	3	that	that	SCONJ
bitcs-7654	146	4	no	no	DET
bitcs-7654	146	5	occurrence	occurrence	NOUN
bitcs-7654	146	6	of	of	ADP
bitcs-7654	146	7	the	the	DET
bitcs-7654	146	8	illness	illness	NOUN
bitcs-7654	146	9	goes	go	VERB
bitcs-7654	146	10	unnoticed	unnoticed	ADJ
bitcs-7654	146	11	,	,	PUNCT
bitcs-7654	146	12	and	and	CCONJ
bitcs-7654	146	13	that	that	DET
bitcs-7654	146	14	treatment	treatment	NOUN
bitcs-7654	146	15	can	can	AUX
bitcs-7654	146	16	begin	begin	VERB
bitcs-7654	146	17	promptly	promptly	ADV
bitcs-7654	146	18	,	,	PUNCT
bitcs-7654	146	19	high	high	ADJ
bitcs-7654	146	20	recall	recall	NOUN
bitcs-7654	146	21	is	be	AUX
bitcs-7654	146	22	especially	especially	ADV
bitcs-7654	146	23	critical	critical	ADJ
bitcs-7654	146	24	in	in	ADP
bitcs-7654	146	25	medical	medical	ADJ
bitcs-7654	146	26	settings	setting	NOUN
bitcs-7654	146	27	.	.	PUNCT
bitcs-7654	147	1	the	the	DET
bitcs-7654	147	2	f1	f1	PROPN
bitcs-7654	147	3	score	score	NOUN
bitcs-7654	147	4	,	,	PUNCT
bitcs-7654	147	5	which	which	PRON
bitcs-7654	147	6	is	be	AUX
bitcs-7654	147	7	a	a	DET
bitcs-7654	147	8	harmonic	harmonic	ADJ
bitcs-7654	147	9	mean	mean	NOUN
bitcs-7654	147	10	of	of	ADP
bitcs-7654	147	11	recall	recall	NOUN
bitcs-7654	147	12	and	and	CCONJ
bitcs-7654	147	13	accuracy	accuracy	NOUN
bitcs-7654	147	14	,	,	PUNCT
bitcs-7654	147	15	remained	remain	VERB
bitcs-7654	147	16	constant	constant	ADJ
bitcs-7654	147	17	at	at	ADP
bitcs-7654	147	18	0.99	0.99	NUM
bitcs-7654	147	19	.	.	PUNCT
bitcs-7654	148	1	the	the	DET
bitcs-7654	148	2	model	model	NOUN
bitcs-7654	148	3	's	's	PART
bitcs-7654	148	4	ability	ability	NOUN
bitcs-7654	148	5	to	to	PART
bitcs-7654	148	6	accurately	accurately	ADV
bitcs-7654	148	7	detect	detect	VERB
bitcs-7654	148	8	instances	instance	NOUN
bitcs-7654	148	9	of	of	ADP
bitcs-7654	148	10	heart	heart	NOUN
bitcs-7654	148	11	disease	disease	NOUN
bitcs-7654	148	12	while	while	SCONJ
bitcs-7654	148	13	also	also	ADV
bitcs-7654	148	14	minimising	minimise	VERB
bitcs-7654	148	15	false	false	ADJ
bitcs-7654	148	16	positives	positive	NOUN
bitcs-7654	148	17	is	be	AUX
bitcs-7654	148	18	confirmed	confirm	VERB
bitcs-7654	148	19	by	by	ADP
bitcs-7654	148	20	this	this	DET
bitcs-7654	148	21	score	score	NOUN
bitcs-7654	148	22	,	,	PUNCT
bitcs-7654	148	23	which	which	PRON
bitcs-7654	148	24	strikes	strike	VERB
bitcs-7654	148	25	a	a	DET
bitcs-7654	148	26	balance	balance	NOUN
bitcs-7654	148	27	between	between	ADP
bitcs-7654	148	28	recall	recall	NOUN
bitcs-7654	148	29	and	and	CCONJ
bitcs-7654	148	30	precision	precision	NOUN
bitcs-7654	148	31	.	.	PUNCT
bitcs-7654	149	1	the	the	DET
bitcs-7654	149	2	model	model	NOUN
bitcs-7654	149	3	's	's	PART
bitcs-7654	149	4	balanced	balanced	ADJ
bitcs-7654	149	5	performance	performance	NOUN
bitcs-7654	149	6	and	and	CCONJ
bitcs-7654	149	7	its	its	PRON
bitcs-7654	149	8	efficacy	efficacy	NOUN
bitcs-7654	149	9	in	in	ADP
bitcs-7654	149	10	sustaining	sustain	VERB
bitcs-7654	149	11	accuracy	accuracy	NOUN
bitcs-7654	149	12	under	under	ADP
bitcs-7654	149	13	varied	varied	ADJ
bitcs-7654	149	14	situations	situation	NOUN
bitcs-7654	149	15	are	be	AUX
bitcs-7654	149	16	further	far	ADV
bitcs-7654	149	17	shown	show	VERB
bitcs-7654	149	18	by	by	ADP
bitcs-7654	149	19	the	the	DET
bitcs-7654	149	20	constancy	constancy	NOUN
bitcs-7654	149	21	of	of	ADP
bitcs-7654	149	22	the	the	DET
bitcs-7654	149	23	f1	f1	NOUN
bitcs-7654	149	24	score	score	NOUN
bitcs-7654	149	25	across	across	ADP
bitcs-7654	149	26	several	several	ADJ
bitcs-7654	149	27	test	test	NOUN
bitcs-7654	149	28	sets	set	NOUN
bitcs-7654	149	29	.	.	PUNCT
bitcs-7654	150	1	the	the	DET
bitcs-7654	150	2	model	model	NOUN
bitcs-7654	150	3	's	's	PART
bitcs-7654	150	4	accuracy	accuracy	NOUN
bitcs-7654	150	5	was	be	AUX
bitcs-7654	150	6	0.99	0.99	NUM
bitcs-7654	150	7	across	across	ADP
bitcs-7654	150	8	the	the	DET
bitcs-7654	150	9	board	board	NOUN
bitcs-7654	150	10	,	,	PUNCT
bitcs-7654	150	11	which	which	PRON
bitcs-7654	150	12	means	mean	VERB
bitcs-7654	150	13	that	that	SCONJ
bitcs-7654	150	14	almost	almost	ADV
bitcs-7654	150	15	all	all	DET
bitcs-7654	150	16	the	the	DET
bitcs-7654	150	17	predictions	prediction	NOUN
bitcs-7654	150	18	,	,	PUNCT
bitcs-7654	150	19	positive	positive	ADJ
bitcs-7654	150	20	and	and	CCONJ
bitcs-7654	150	21	negative	negative	ADJ
bitcs-7654	150	22	,	,	PUNCT
bitcs-7654	150	23	were	be	AUX
bitcs-7654	150	24	spot	spot	NOUN
bitcs-7654	150	25	on	on	ADP
bitcs-7654	150	26	.	.	PUNCT
bitcs-7654	151	1	a	a	DET
bitcs-7654	151	2	high	high	ADJ
bitcs-7654	151	3	level	level	NOUN
bitcs-7654	151	4	of	of	ADP
bitcs-7654	151	5	accuracy	accuracy	NOUN
bitcs-7654	151	6	verifies	verifie	NOUN
bitcs-7654	151	7	that	that	PRON
bitcs-7654	151	8	the	the	DET
bitcs-7654	151	9	model	model	NOUN
bitcs-7654	151	10	is	be	AUX
bitcs-7654	151	11	suitable	suitable	ADJ
bitcs-7654	151	12	for	for	ADP
bitcs-7654	151	13	practical	practical	ADJ
bitcs-7654	151	14	use	use	NOUN
bitcs-7654	151	15	in	in	ADP
bitcs-7654	151	16	clinical	clinical	ADJ
bitcs-7654	151	17	settings	setting	NOUN
bitcs-7654	151	18	by	by	ADP
bitcs-7654	151	19	demonstrating	demonstrate	VERB
bitcs-7654	151	20	its	its	PRON
bitcs-7654	151	21	overall	overall	ADJ
bitcs-7654	151	22	dependability	dependability	NOUN
bitcs-7654	151	23	in	in	ADP
bitcs-7654	151	24	producing	produce	VERB
bitcs-7654	151	25	accurate	accurate	ADJ
bitcs-7654	151	26	predictions	prediction	NOUN
bitcs-7654	151	27	.	.	PUNCT
bitcs-7654	152	1	the	the	DET
bitcs-7654	152	2	model	model	NOUN
bitcs-7654	152	3	's	's	PART
bitcs-7654	152	4	generalizability	generalizability	NOUN
bitcs-7654	152	5	and	and	CCONJ
bitcs-7654	152	6	robustness	robustness	NOUN
bitcs-7654	152	7	are	be	AUX
bitcs-7654	152	8	shown	show	VERB
bitcs-7654	152	9	by	by	ADP
bitcs-7654	152	10	its	its	PRON
bitcs-7654	152	11	equal	equal	ADJ
bitcs-7654	152	12	correctness	correctness	NOUN
bitcs-7654	152	13	across	across	ADP
bitcs-7654	152	14	assessments	assessment	NOUN
bitcs-7654	152	15	.	.	PUNCT
bitcs-7654	153	1	these	these	DET
bitcs-7654	153	2	features	feature	NOUN
bitcs-7654	153	3	are	be	AUX
bitcs-7654	153	4	necessary	necessary	ADJ
bitcs-7654	153	5	for	for	ADP
bitcs-7654	153	6	a	a	DET
bitcs-7654	153	7	diagnostic	diagnostic	ADJ
bitcs-7654	153	8	tool	tool	NOUN
bitcs-7654	153	9	that	that	PRON
bitcs-7654	153	10	is	be	AUX
bitcs-7654	153	11	meant	mean	VERB
bitcs-7654	153	12	to	to	PART
bitcs-7654	153	13	be	be	AUX
bitcs-7654	153	14	used	use	VERB
bitcs-7654	153	15	in	in	ADP
bitcs-7654	153	16	numerous	numerous	ADJ
bitcs-7654	153	17	real	real	ADJ
bitcs-7654	153	18	-	-	PUNCT
bitcs-7654	153	19	world	world	NOUN
bitcs-7654	153	20	circumstances	circumstance	NOUN
bitcs-7654	153	21	.	.	PUNCT
bitcs-7654	154	1	the	the	DET
bitcs-7654	154	2	findings	finding	NOUN
bitcs-7654	154	3	show	show	VERB
bitcs-7654	154	4	that	that	SCONJ
bitcs-7654	154	5	the	the	DET
bitcs-7654	154	6	suggested	suggested	ADJ
bitcs-7654	154	7	model	model	NOUN
bitcs-7654	154	8	for	for	ADP
bitcs-7654	154	9	diagnosing	diagnose	VERB
bitcs-7654	154	10	heart	heart	NOUN
bitcs-7654	154	11	disease	disease	NOUN
bitcs-7654	154	12	is	be	AUX
bitcs-7654	154	13	quite	quite	ADV
bitcs-7654	154	14	effective	effective	ADJ
bitcs-7654	154	15	in	in	ADP
bitcs-7654	154	16	terms	term	NOUN
bitcs-7654	154	17	of	of	ADP
bitcs-7654	154	18	accuracy	accuracy	NOUN
bitcs-7654	154	19	,	,	PUNCT
bitcs-7654	154	20	precision	precision	NOUN
bitcs-7654	154	21	,	,	PUNCT
bitcs-7654	154	22	recall	recall	NOUN
bitcs-7654	154	23	,	,	PUNCT
bitcs-7654	154	24	and	and	CCONJ
bitcs-7654	154	25	f1	f1	PROPN
bitcs-7654	154	26	score	score	NOUN
bitcs-7654	154	27	.	.	PUNCT
bitcs-7654	155	1	this	this	DET
bitcs-7654	155	2	impressive	impressive	ADJ
bitcs-7654	155	3	performance	performance	NOUN
bitcs-7654	155	4	indicates	indicate	VERB
bitcs-7654	155	5	that	that	SCONJ
bitcs-7654	155	6	the	the	DET
bitcs-7654	155	7	model	model	NOUN
bitcs-7654	155	8	is	be	AUX
bitcs-7654	155	9	not	not	PART
bitcs-7654	155	10	only	only	ADV
bitcs-7654	155	11	good	good	ADJ
bitcs-7654	155	12	at	at	ADP
bitcs-7654	155	13	detecting	detect	VERB
bitcs-7654	155	14	instances	instance	NOUN
bitcs-7654	155	15	of	of	ADP
bitcs-7654	155	16	heart	heart	NOUN
bitcs-7654	155	17	disease	disease	NOUN
bitcs-7654	155	18	,	,	PUNCT
bitcs-7654	155	19	but	but	CCONJ
bitcs-7654	155	20	also	also	ADV
bitcs-7654	155	21	trustworthy	trustworthy	ADJ
bitcs-7654	155	22	in	in	ADP
bitcs-7654	155	23	preventing	prevent	VERB
bitcs-7654	155	24	false	false	ADJ
bitcs-7654	155	25	positives	positive	NOUN
bitcs-7654	155	26	,	,	PUNCT
bitcs-7654	155	27	guaranteeing	guarantee	VERB
bitcs-7654	155	28	thorough	thorough	ADJ
bitcs-7654	155	29	and	and	CCONJ
bitcs-7654	155	30	precise	precise	ADJ
bitcs-7654	155	31	diagnoses	diagnosis	NOUN
bitcs-7654	155	32	.	.	PUNCT
bitcs-7654	156	1	since	since	SCONJ
bitcs-7654	156	2	this	this	PRON
bitcs-7654	156	3	is	be	AUX
bitcs-7654	156	4	the	the	DET
bitcs-7654	156	5	case	case	NOUN
bitcs-7654	156	6	,	,	PUNCT
bitcs-7654	156	7	the	the	DET
bitcs-7654	156	8	model	model	NOUN
bitcs-7654	156	9	may	may	AUX
bitcs-7654	156	10	be	be	AUX
bitcs-7654	156	11	relied	rely	VERB
bitcs-7654	156	12	upon	upon	SCONJ
bitcs-7654	156	13	by	by	ADP
bitcs-7654	156	14	medical	medical	ADJ
bitcs-7654	156	15	practitioners	practitioner	NOUN
bitcs-7654	156	16	to	to	PART
bitcs-7654	156	17	reliably	reliably	ADV
bitcs-7654	156	18	diagnose	diagnose	VERB
bitcs-7654	156	19	cardiac	cardiac	ADJ
bitcs-7654	156	20	illness	illness	NOUN
bitcs-7654	156	21	.	.	PUNCT
bitcs-7654	157	1	that	that	DET
bitcs-7654	157	2	very	very	ADV
bitcs-7654	157	3	high	high	ADJ
bitcs-7654	157	4	sensitivity	sensitivity	NOUN
bitcs-7654	157	5	level	level	NOUN
bitcs-7654	157	6	shows	show	VERB
bitcs-7654	157	7	the	the	DET
bitcs-7654	157	8	strength	strength	NOUN
bitcs-7654	157	9	of	of	ADP
bitcs-7654	157	10	mlp	mlp	NOUN
bitcs-7654	157	11	in	in	ADP
bitcs-7654	157	12	correctly	correctly	ADV
bitcs-7654	157	13	defining	define	VERB
bitcs-7654	157	14	cases	case	NOUN
bitcs-7654	157	15	of	of	ADP
bitcs-7654	157	16	heart	heart	NOUN
bitcs-7654	157	17	disease	disease	NOUN
bitcs-7654	157	18	.	.	PUNCT
bitcs-7654	158	1	furthermore	furthermore	ADV
bitcs-7654	158	2	,	,	PUNCT
bitcs-7654	158	3	mlp	mlp	PROPN
bitcs-7654	158	4	has	have	AUX
bitcs-7654	158	5	represented	represent	VERB
bitcs-7654	158	6	good	good	ADJ
bitcs-7654	158	7	accuracy	accuracy	NOUN
bitcs-7654	158	8	,	,	PUNCT
bitcs-7654	158	9	precision	precision	NOUN
bitcs-7654	158	10	,	,	PUNCT
bitcs-7654	158	11	recall	recall	NOUN
bitcs-7654	158	12	,	,	PUNCT
bitcs-7654	158	13	and	and	CCONJ
bitcs-7654	158	14	f1	f1	ADJ
bitcs-7654	158	15	-	-	PUNCT
bitcs-7654	158	16	score	score	NOUN
bitcs-7654	158	17	metrics	metric	NOUN
bitcs-7654	158	18	with	with	ADP
bitcs-7654	158	19	the	the	DET
bitcs-7654	158	20	precision	precision	NOUN
bitcs-7654	158	21	of	of	ADP
bitcs-7654	158	22	classifying	classify	VERB
bitcs-7654	158	23	an	an	DET
bitcs-7654	158	24	individual	individual	NOUN
bitcs-7654	158	25	with	with	ADP
bitcs-7654	158	26	or	or	CCONJ
bitcs-7654	158	27	without	without	ADP
bitcs-7654	158	28	heart	heart	NOUN
bitcs-7654	158	29	disease	disease	NOUN
bitcs-7654	158	30	,	,	PUNCT
bitcs-7654	158	31	which	which	PRON
bitcs-7654	158	32	would	would	AUX
bitcs-7654	158	33	be	be	AUX
bitcs-7654	158	34	remarkable	remarkable	ADJ
bitcs-7654	158	35	.	.	PUNCT
bitcs-7654	159	1	figure	figure	NOUN
bitcs-7654	159	2	3	3	NUM
bitcs-7654	159	3	.	.	PUNCT
bitcs-7654	159	4	confusion	confusion	NOUN
bitcs-7654	159	5	matrix	matrix	NOUN
bitcs-7654	159	6	for	for	ADP
bitcs-7654	159	7	all	all	DET
bitcs-7654	159	8	the	the	DET
bitcs-7654	159	9	measures	measure	NOUN
bitcs-7654	159	10	,	,	PUNCT
bitcs-7654	159	11	these	these	DET
bitcs-7654	159	12	models	model	NOUN
bitcs-7654	159	13	showed	show	VERB
bitcs-7654	159	14	strong	strong	ADJ
bitcs-7654	159	15	performance	performance	NOUN
bitcs-7654	159	16	,	,	PUNCT
bitcs-7654	159	17	which	which	PRON
bitcs-7654	159	18	strengthens	strengthen	VERB
bitcs-7654	159	19	the	the	DET
bitcs-7654	159	20	effectiveness	effectiveness	NOUN
bitcs-7654	159	21	of	of	ADP
bitcs-7654	159	22	collaborative	collaborative	ADJ
bitcs-7654	159	23	intelligence	intelligence	NOUN
bitcs-7654	159	24	in	in	ADP
bitcs-7654	159	25	raising	raise	VERB
bitcs-7654	159	26	predictive	predictive	ADJ
bitcs-7654	159	27	accuracy	accuracy	NOUN
bitcs-7654	159	28	and	and	CCONJ
bitcs-7654	159	29	reliability	reliability	NOUN
bitcs-7654	159	30	.	.	PUNCT
bitcs-7654	160	1	b.	b.	PROPN
bitcs-7654	160	2	comparative	comparative	ADJ
bitcs-7654	160	3	analysis	analysis	NOUN
bitcs-7654	160	4	recent	recent	ADJ
bitcs-7654	160	5	developments	development	NOUN
bitcs-7654	160	6	in	in	ADP
bitcs-7654	160	7	machine	machine	NOUN
bitcs-7654	160	8	learning	learning	NOUN
bitcs-7654	160	9	and	and	CCONJ
bitcs-7654	160	10	deep	deep	ADJ
bitcs-7654	160	11	learning	learning	NOUN
bitcs-7654	160	12	are	be	AUX
bitcs-7654	160	13	shown	show	VERB
bitcs-7654	160	14	by	by	ADP
bitcs-7654	160	15	the	the	DET
bitcs-7654	160	16	significant	significant	ADJ
bitcs-7654	160	17	discrepancies	discrepancy	NOUN
bitcs-7654	160	18	in	in	ADP
bitcs-7654	160	19	accuracy	accuracy	NOUN
bitcs-7654	160	20	found	find	VERB
bitcs-7654	160	21	when	when	SCONJ
bitcs-7654	160	22	comparing	compare	VERB
bitcs-7654	160	23	different	different	ADJ
bitcs-7654	160	24	models	model	NOUN
bitcs-7654	160	25	for	for	ADP
bitcs-7654	160	26	the	the	DET
bitcs-7654	160	27	detection	detection	NOUN
bitcs-7654	160	28	of	of	ADP
bitcs-7654	160	29	heart	heart	NOUN
bitcs-7654	160	30	disease	disease	NOUN
bitcs-7654	160	31	.	.	PUNCT
bitcs-7654	161	1	in	in	ADP
bitcs-7654	161	2	vol	vol	NOUN
bitcs-7654	161	3	.	.	PROPN
bitcs-7654	161	4	6	6	NUM
bitcs-7654	161	5	,	,	PUNCT
bitcs-7654	161	6	no.1	no.1	NUM
bitcs-7654	161	7	,	,	PUNCT
bitcs-7654	161	8	january	january	NOUN
bitcs-7654	161	9	2025	2025	NUM
bitcs-7654	161	10	|	|	ADV
bitcs-7654	161	11	53	53	NUM
bitcs-7654	161	12	their	their	PRON
bitcs-7654	161	13	study	study	NOUN
bitcs-7654	161	14	[	[	X
bitcs-7654	161	15	38	38	NUM
bitcs-7654	161	16	]	]	PUNCT
bitcs-7654	161	17	,	,	PUNCT
bitcs-7654	161	18	found	find	VERB
bitcs-7654	161	19	that	that	SCONJ
bitcs-7654	161	20	traditional	traditional	ADJ
bitcs-7654	161	21	models	model	NOUN
bitcs-7654	161	22	like	like	ADP
bitcs-7654	161	23	logistic	logistic	ADJ
bitcs-7654	161	24	regression	regression	NOUN
bitcs-7654	161	25	(	(	PUNCT
bitcs-7654	161	26	lr	lr	NOUN
bitcs-7654	161	27	)	)	PUNCT
bitcs-7654	161	28	,	,	PUNCT
bitcs-7654	161	29	k	k	X
bitcs-7654	161	30	-	-	PUNCT
bitcs-7654	161	31	nearest	near	ADJ
bitcs-7654	161	32	neighbours	neighbour	NOUN
bitcs-7654	161	33	(	(	PUNCT
bitcs-7654	161	34	knn	knn	PROPN
bitcs-7654	161	35	)	)	PUNCT
bitcs-7654	161	36	,	,	PUNCT
bitcs-7654	161	37	support	support	NOUN
bitcs-7654	161	38	vector	vector	NOUN
bitcs-7654	161	39	machine	machine	NOUN
bitcs-7654	161	40	(	(	PUNCT
bitcs-7654	161	41	svm	svm	PROPN
bitcs-7654	161	42	)	)	PUNCT
bitcs-7654	161	43	,	,	PUNCT
bitcs-7654	161	44	random	random	ADJ
bitcs-7654	161	45	forest	forest	NOUN
bitcs-7654	161	46	(	(	PUNCT
bitcs-7654	161	47	rf	rf	NOUN
bitcs-7654	161	48	)	)	PUNCT
bitcs-7654	161	49	,	,	PUNCT
bitcs-7654	161	50	decision	decision	NOUN
bitcs-7654	161	51	tree	tree	NOUN
bitcs-7654	161	52	(	(	PUNCT
bitcs-7654	161	53	dt	dt	NOUN
bitcs-7654	161	54	)	)	PUNCT
bitcs-7654	161	55	,	,	PUNCT
bitcs-7654	161	56	and	and	CCONJ
bitcs-7654	161	57	a	a	DET
bitcs-7654	161	58	general	general	ADJ
bitcs-7654	161	59	deep	deep	ADJ
bitcs-7654	161	60	learning	learning	NOUN
bitcs-7654	161	61	(	(	PUNCT
bitcs-7654	161	62	dl	dl	NOUN
bitcs-7654	161	63	)	)	PUNCT
bitcs-7654	161	64	approach	approach	NOUN
bitcs-7654	161	65	had	have	VERB
bitcs-7654	161	66	accuracies	accuracy	NOUN
bitcs-7654	161	67	ranging	range	VERB
bitcs-7654	161	68	from	from	ADP
bitcs-7654	161	69	83.3	83.3	NUM
bitcs-7654	161	70	%	%	NOUN
bitcs-7654	161	71	to	to	ADP
bitcs-7654	161	72	94.2	94.2	NUM
bitcs-7654	161	73	%	%	NOUN
bitcs-7654	161	74	.	.	PUNCT
bitcs-7654	162	1	the	the	DET
bitcs-7654	162	2	deep	deep	ADJ
bitcs-7654	162	3	learning	learning	NOUN
bitcs-7654	162	4	model	model	NOUN
bitcs-7654	162	5	is	be	AUX
bitcs-7654	162	6	the	the	DET
bitcs-7654	162	7	most	most	ADV
bitcs-7654	162	8	impressive	impressive	ADJ
bitcs-7654	162	9	of	of	ADP
bitcs-7654	162	10	the	the	DET
bitcs-7654	162	11	bunch	bunch	NOUN
bitcs-7654	162	12	,	,	PUNCT
bitcs-7654	162	13	with	with	ADP
bitcs-7654	162	14	an	an	DET
bitcs-7654	162	15	accuracy	accuracy	NOUN
bitcs-7654	162	16	rate	rate	NOUN
bitcs-7654	162	17	of	of	ADP
bitcs-7654	162	18	94.2	94.2	NUM
bitcs-7654	162	19	%	%	NOUN
bitcs-7654	162	20	.	.	PUNCT
bitcs-7654	163	1	on	on	ADP
bitcs-7654	163	2	the	the	DET
bitcs-7654	163	3	other	other	ADJ
bitcs-7654	163	4	hand	hand	NOUN
bitcs-7654	163	5	,	,	PUNCT
bitcs-7654	163	6	ensemble	ensemble	ADJ
bitcs-7654	163	7	approaches	approach	NOUN
bitcs-7654	163	8	show	show	VERB
bitcs-7654	163	9	that	that	SCONJ
bitcs-7654	163	10	they	they	PRON
bitcs-7654	163	11	are	be	AUX
bitcs-7654	163	12	more	more	ADV
bitcs-7654	163	13	effective	effective	ADJ
bitcs-7654	163	14	.	.	PUNCT
bitcs-7654	164	1	as	as	ADP
bitcs-7654	164	2	to	to	ADP
bitcs-7654	164	3	the	the	DET
bitcs-7654	164	4	findings	finding	NOUN
bitcs-7654	164	5	of	of	ADP
bitcs-7654	164	6	atallah	atallah	PROPN
bitcs-7654	164	7	and	and	CCONJ
bitcs-7654	164	8	al	al	PROPN
bitcs-7654	164	9	-	-	PUNCT
bitcs-7654	164	10	mousa	mousa	PROPN
bitcs-7654	164	11	[	[	X
bitcs-7654	164	12	31	31	NUM
bitcs-7654	164	13	]	]	PUNCT
bitcs-7654	164	14	,	,	PUNCT
bitcs-7654	164	15	the	the	DET
bitcs-7654	164	16	hard	hard	ADJ
bitcs-7654	164	17	voting	voting	NOUN
bitcs-7654	164	18	ensemble	ensemble	ADJ
bitcs-7654	164	19	model	model	NOUN
bitcs-7654	164	20	—	—	PUNCT
bitcs-7654	164	21	which	which	PRON
bitcs-7654	164	22	integrates	integrate	VERB
bitcs-7654	164	23	many	many	ADJ
bitcs-7654	164	24	classifiers	classifier	NOUN
bitcs-7654	164	25	—	—	PUNCT
bitcs-7654	164	26	attained	attain	VERB
bitcs-7654	164	27	a	a	DET
bitcs-7654	164	28	precision	precision	NOUN
bitcs-7654	164	29	of	of	ADP
bitcs-7654	164	30	90.00	90.00	NUM
bitcs-7654	164	31	%	%	NOUN
bitcs-7654	164	32	.	.	PUNCT
bitcs-7654	165	1	better	well	ADJ
bitcs-7654	165	2	forecasts	forecast	NOUN
bitcs-7654	165	3	are	be	AUX
bitcs-7654	165	4	produced	produce	VERB
bitcs-7654	165	5	by	by	ADP
bitcs-7654	165	6	this	this	DET
bitcs-7654	165	7	strategy	strategy	NOUN
bitcs-7654	165	8	since	since	SCONJ
bitcs-7654	165	9	it	it	PRON
bitcs-7654	165	10	takes	take	VERB
bitcs-7654	165	11	advantage	advantage	NOUN
bitcs-7654	165	12	of	of	ADP
bitcs-7654	165	13	combining	combine	VERB
bitcs-7654	165	14	the	the	DET
bitcs-7654	165	15	capabilities	capability	NOUN
bitcs-7654	165	16	of	of	ADP
bitcs-7654	165	17	many	many	ADJ
bitcs-7654	165	18	models	model	NOUN
bitcs-7654	165	19	.	.	PUNCT
bitcs-7654	166	1	while	while	SCONJ
bitcs-7654	166	2	the	the	DET
bitcs-7654	166	3	ensemble	ensemble	ADJ
bitcs-7654	166	4	methods	method	NOUN
bitcs-7654	166	5	outperform	outperform	VERB
bitcs-7654	166	6	the	the	DET
bitcs-7654	166	7	individual	individual	ADJ
bitcs-7654	166	8	classical	classical	ADJ
bitcs-7654	166	9	models	model	NOUN
bitcs-7654	166	10	,	,	PUNCT
bitcs-7654	166	11	the	the	DET
bitcs-7654	166	12	naive	naive	ADJ
bitcs-7654	166	13	bayes	bayes	NOUN
bitcs-7654	166	14	(	(	PUNCT
bitcs-7654	166	15	nb	nb	NOUN
bitcs-7654	166	16	)	)	PUNCT
bitcs-7654	166	17	classifier	classifier	NOUN
bitcs-7654	166	18	(	(	PUNCT
bitcs-7654	166	19	84.51	84.51	NUM
bitcs-7654	166	20	percent	percent	NOUN
bitcs-7654	166	21	accuracy	accuracy	NOUN
bitcs-7654	166	22	)	)	PUNCT
bitcs-7654	166	23	and	and	CCONJ
bitcs-7654	166	24	the	the	DET
bitcs-7654	166	25	knn	knn	PROPN
bitcs-7654	166	26	classifier	classifier	NOUN
bitcs-7654	166	27	(	(	PUNCT
bitcs-7654	166	28	85	85	NUM
bitcs-7654	166	29	percent	percent	NOUN
bitcs-7654	166	30	accuracy	accuracy	NOUN
bitcs-7654	166	31	)	)	PUNCT
bitcs-7654	166	32	also	also	ADV
bitcs-7654	166	33	perform	perform	VERB
bitcs-7654	166	34	comparably	comparably	ADV
bitcs-7654	166	35	,	,	PUNCT
bitcs-7654	166	36	according	accord	VERB
bitcs-7654	166	37	to	to	ADP
bitcs-7654	166	38	[	[	X
bitcs-7654	166	39	32	32	NUM
bitcs-7654	166	40	]	]	PUNCT
bitcs-7654	166	41	and	and	CCONJ
bitcs-7654	166	42	[	[	X
bitcs-7654	166	43	33	33	NUM
bitcs-7654	166	44	]	]	PUNCT
bitcs-7654	166	45	,	,	PUNCT
bitcs-7654	166	46	respectively	respectively	ADV
bitcs-7654	166	47	.	.	PUNCT
bitcs-7654	167	1	the	the	DET
bitcs-7654	167	2	accuracy	accuracy	NOUN
bitcs-7654	167	3	of	of	ADP
bitcs-7654	167	4	88.70	88.70	NUM
bitcs-7654	167	5	%	%	NOUN
bitcs-7654	167	6	achieved	achieve	VERB
bitcs-7654	167	7	by	by	ADP
bitcs-7654	167	8	[	[	X
bitcs-7654	167	9	34	34	NUM
bitcs-7654	167	10	]	]	PUNCT
bitcs-7654	167	11	when	when	SCONJ
bitcs-7654	167	12	decision	decision	NOUN
bitcs-7654	167	13	tree	tree	NOUN
bitcs-7654	167	14	and	and	CCONJ
bitcs-7654	167	15	random	random	ADJ
bitcs-7654	167	16	forest	forest	NOUN
bitcs-7654	167	17	models	model	NOUN
bitcs-7654	167	18	were	be	AUX
bitcs-7654	167	19	combined	combine	VERB
bitcs-7654	167	20	shows	show	VERB
bitcs-7654	167	21	the	the	DET
bitcs-7654	167	22	effectiveness	effectiveness	NOUN
bitcs-7654	167	23	of	of	ADP
bitcs-7654	167	24	ensemble	ensemble	ADJ
bitcs-7654	167	25	approaches	approach	NOUN
bitcs-7654	167	26	in	in	ADP
bitcs-7654	167	27	improving	improve	VERB
bitcs-7654	167	28	prediction	prediction	NOUN
bitcs-7654	167	29	accuracy	accuracy	NOUN
bitcs-7654	167	30	.	.	PUNCT
bitcs-7654	168	1	additionally	additionally	ADV
bitcs-7654	168	2	,	,	PUNCT
bitcs-7654	168	3	anns	ann	NOUN
bitcs-7654	168	4	have	have	AUX
bitcs-7654	168	5	been	be	AUX
bitcs-7654	168	6	investigated	investigate	VERB
bitcs-7654	168	7	;	;	PUNCT
bitcs-7654	168	8	however	however	ADV
bitcs-7654	168	9	,	,	PUNCT
bitcs-7654	168	10	[	[	X
bitcs-7654	168	11	35	35	NUM
bitcs-7654	168	12	]	]	PUNCT
bitcs-7654	168	13	reported	report	VERB
bitcs-7654	168	14	an	an	DET
bitcs-7654	168	15	accuracy	accuracy	NOUN
bitcs-7654	168	16	of	of	ADP
bitcs-7654	168	17	82.49	82.49	NUM
bitcs-7654	168	18	%	%	NOUN
bitcs-7654	168	19	using	use	VERB
bitcs-7654	168	20	anns	ann	NOUN
bitcs-7654	168	21	,	,	PUNCT
bitcs-7654	168	22	suggesting	suggest	VERB
bitcs-7654	168	23	that	that	SCONJ
bitcs-7654	168	24	neural	neural	ADJ
bitcs-7654	168	25	network	network	NOUN
bitcs-7654	168	26	topologies	topology	NOUN
bitcs-7654	168	27	for	for	ADP
bitcs-7654	168	28	the	the	DET
bitcs-7654	168	29	detection	detection	NOUN
bitcs-7654	168	30	of	of	ADP
bitcs-7654	168	31	cardiac	cardiac	ADJ
bitcs-7654	168	32	disease	disease	NOUN
bitcs-7654	168	33	need	need	VERB
bitcs-7654	168	34	additional	additional	ADJ
bitcs-7654	168	35	optimisation	optimisation	NOUN
bitcs-7654	168	36	[	[	X
bitcs-7654	168	37	36	36	NUM
bitcs-7654	168	38	]	]	PUNCT
bitcs-7654	168	39	.	.	PUNCT
bitcs-7654	169	1	demonstrated	demonstrate	VERB
bitcs-7654	169	2	an	an	DET
bitcs-7654	169	3	accuracy	accuracy	NOUN
bitcs-7654	169	4	of	of	ADP
bitcs-7654	169	5	88.70	88.70	NUM
bitcs-7654	169	6	%	%	NOUN
bitcs-7654	169	7	using	use	VERB
bitcs-7654	169	8	a	a	DET
bitcs-7654	169	9	linear	linear	ADJ
bitcs-7654	169	10	model	model	NOUN
bitcs-7654	169	11	and	and	CCONJ
bitcs-7654	169	12	random	random	ADJ
bitcs-7654	169	13	forest	forest	NOUN
bitcs-7654	169	14	,	,	PUNCT
bitcs-7654	169	15	demonstrating	demonstrate	VERB
bitcs-7654	169	16	the	the	DET
bitcs-7654	169	17	efficacy	efficacy	NOUN
bitcs-7654	169	18	of	of	ADP
bitcs-7654	169	19	hybrid	hybrid	ADJ
bitcs-7654	169	20	techniques	technique	NOUN
bitcs-7654	169	21	.	.	PUNCT
bitcs-7654	170	1	according	accord	VERB
bitcs-7654	170	2	to	to	ADP
bitcs-7654	170	3	what	what	PRON
bitcs-7654	170	4	[	[	X
bitcs-7654	170	5	37	37	NUM
bitcs-7654	170	6	]	]	PUNCT
bitcs-7654	170	7	stated	state	VERB
bitcs-7654	170	8	,	,	PUNCT
bitcs-7654	170	9	one	one	NUM
bitcs-7654	170	10	remarkable	remarkable	ADJ
bitcs-7654	170	11	model	model	NOUN
bitcs-7654	170	12	,	,	PUNCT
bitcs-7654	170	13	lofs	lofs	NOUN
bitcs-7654	170	14	-	-	PUNCT
bitcs-7654	170	15	ann	ann	PROPN
bitcs-7654	170	16	(	(	PUNCT
bitcs-7654	170	17	local	local	ADJ
bitcs-7654	170	18	outlier	outlier	NOUN
bitcs-7654	170	19	factor	factor	NOUN
bitcs-7654	170	20	-	-	PUNCT
bitcs-7654	170	21	support	support	NOUN
bitcs-7654	170	22	artificial	artificial	ADJ
bitcs-7654	170	23	neural	neural	ADJ
bitcs-7654	170	24	network	network	NOUN
bitcs-7654	170	25	)	)	PUNCT
bitcs-7654	170	26	,	,	PUNCT
bitcs-7654	170	27	managed	manage	VERB
bitcs-7654	170	28	to	to	PART
bitcs-7654	170	29	reach	reach	VERB
bitcs-7654	170	30	an	an	DET
bitcs-7654	170	31	accuracy	accuracy	NOUN
bitcs-7654	170	32	level	level	NOUN
bitcs-7654	170	33	of	of	ADP
bitcs-7654	170	34	90.5	90.5	NUM
bitcs-7654	170	35	%	%	NOUN
bitcs-7654	170	36	.	.	PUNCT
bitcs-7654	171	1	this	this	DET
bitcs-7654	171	2	methodology	methodology	NOUN
bitcs-7654	171	3	improves	improve	VERB
bitcs-7654	171	4	neural	neural	ADJ
bitcs-7654	171	5	networks	network	NOUN
bitcs-7654	171	6	'	'	PART
bitcs-7654	171	7	forecasting	forecasting	NOUN
bitcs-7654	171	8	abilities	ability	NOUN
bitcs-7654	171	9	by	by	ADP
bitcs-7654	171	10	using	use	VERB
bitcs-7654	171	11	anomaly	anomaly	NOUN
bitcs-7654	171	12	detection	detection	NOUN
bitcs-7654	171	13	.	.	PUNCT
bitcs-7654	172	1	the	the	DET
bitcs-7654	172	2	suggested	suggest	VERB
bitcs-7654	172	3	model	model	NOUN
bitcs-7654	172	4	in	in	ADP
bitcs-7654	172	5	this	this	DET
bitcs-7654	172	6	research	research	NOUN
bitcs-7654	172	7	achieves	achieve	VERB
bitcs-7654	172	8	a	a	DET
bitcs-7654	172	9	remarkable	remarkable	ADJ
bitcs-7654	172	10	99	99	NUM
bitcs-7654	172	11	%	%	NOUN
bitcs-7654	172	12	accuracy	accuracy	NOUN
bitcs-7654	172	13	,	,	PUNCT
bitcs-7654	172	14	far	far	ADV
bitcs-7654	172	15	surpassing	surpass	VERB
bitcs-7654	172	16	all	all	DET
bitcs-7654	172	17	the	the	DET
bitcs-7654	172	18	preceding	precede	VERB
bitcs-7654	172	19	models	model	NOUN
bitcs-7654	172	20	.	.	PUNCT
bitcs-7654	173	1	significant	significant	ADJ
bitcs-7654	173	2	advancements	advancement	NOUN
bitcs-7654	173	3	in	in	ADP
bitcs-7654	173	4	model	model	NOUN
bitcs-7654	173	5	design	design	NOUN
bitcs-7654	173	6	and	and	CCONJ
bitcs-7654	173	7	training	training	NOUN
bitcs-7654	173	8	approaches	approach	NOUN
bitcs-7654	173	9	,	,	PUNCT
bitcs-7654	173	10	maybe	maybe	ADV
bitcs-7654	173	11	using	use	VERB
bitcs-7654	173	12	state	state	NOUN
bitcs-7654	173	13	-	-	PUNCT
bitcs-7654	173	14	of	of	ADP
bitcs-7654	173	15	-	-	PUNCT
bitcs-7654	173	16	the	the	DET
bitcs-7654	173	17	-	-	PUNCT
bitcs-7654	173	18	art	art	NOUN
bitcs-7654	173	19	techniques	technique	NOUN
bitcs-7654	173	20	like	like	ADP
bitcs-7654	173	21	convmixer	convmixer	NOUN
bitcs-7654	173	22	for	for	ADP
bitcs-7654	173	23	effective	effective	ADJ
bitcs-7654	173	24	feature	feature	NOUN
bitcs-7654	173	25	extraction	extraction	NOUN
bitcs-7654	173	26	and	and	CCONJ
bitcs-7654	173	27	classification	classification	NOUN
bitcs-7654	173	28	,	,	PUNCT
bitcs-7654	173	29	are	be	AUX
bitcs-7654	173	30	indicated	indicate	VERB
bitcs-7654	173	31	by	by	ADP
bitcs-7654	173	32	this	this	PRON
bitcs-7654	173	33	.	.	PUNCT
bitcs-7654	174	1	all	all	DET
bitcs-7654	174	2	things	thing	NOUN
bitcs-7654	174	3	considered	consider	VERB
bitcs-7654	174	4	,	,	PUNCT
bitcs-7654	174	5	the	the	DET
bitcs-7654	174	6	comparison	comparison	NOUN
bitcs-7654	174	7	study	study	NOUN
bitcs-7654	174	8	shows	show	VERB
bitcs-7654	174	9	how	how	SCONJ
bitcs-7654	174	10	heart	heart	NOUN
bitcs-7654	174	11	disease	disease	NOUN
bitcs-7654	174	12	diagnostic	diagnostic	ADJ
bitcs-7654	174	13	models	model	NOUN
bitcs-7654	174	14	have	have	AUX
bitcs-7654	174	15	progressed	progress	VERB
bitcs-7654	174	16	,	,	PUNCT
bitcs-7654	174	17	and	and	CCONJ
bitcs-7654	174	18	the	the	DET
bitcs-7654	174	19	suggested	suggest	VERB
bitcs-7654	174	20	model	model	NOUN
bitcs-7654	174	21	is	be	AUX
bitcs-7654	174	22	the	the	DET
bitcs-7654	174	23	most	most	ADV
bitcs-7654	174	24	accurate	accurate	ADJ
bitcs-7654	174	25	one	one	NOUN
bitcs-7654	174	26	yet	yet	ADV
bitcs-7654	174	27	for	for	ADP
bitcs-7654	174	28	this	this	DET
bitcs-7654	174	29	vital	vital	ADJ
bitcs-7654	174	30	medical	medical	ADJ
bitcs-7654	174	31	application	application	NOUN
bitcs-7654	174	32	.	.	PUNCT
bitcs-7654	175	1	table	table	NOUN
bitcs-7654	175	2	3	3	NUM
bitcs-7654	175	3	.	.	PUNCT
bitcs-7654	175	4	comparison	comparison	NOUN
bitcs-7654	175	5	of	of	ADP
bitcs-7654	175	6	contributing	contribute	VERB
bitcs-7654	175	7	results	result	NOUN
bitcs-7654	175	8	with	with	ADP
bitcs-7654	175	9	previous	previous	ADJ
bitcs-7654	175	10	studies	study	NOUN
bitcs-7654	175	11	model	model	NOUN
bitcs-7654	175	12	accuracy	accuracy	NOUN
bitcs-7654	175	13	reference	reference	PROPN
bitcs-7654	175	14	lr	lr	PROPN
bitcs-7654	175	15	,	,	PUNCT
bitcs-7654	175	16	knn	knn	PROPN
bitcs-7654	175	17	,	,	PUNCT
bitcs-7654	175	18	svm	svm	PROPN
bitcs-7654	175	19	,	,	PUNCT
bitcs-7654	175	20	rf	rf	ADJ
bitcs-7654	175	21	,	,	PUNCT
bitcs-7654	175	22	dt	dt	PROPN
bitcs-7654	175	23	,	,	PUNCT
bitcs-7654	175	24	dl	dl	PROPN
bitcs-7654	175	25	83.3	83.3	NUM
bitcs-7654	175	26	%	%	NOUN
bitcs-7654	175	27	,	,	PUNCT
bitcs-7654	175	28	84.8	84.8	NUM
bitcs-7654	175	29	%	%	NOUN
bitcs-7654	175	30	,	,	PUNCT
bitcs-7654	175	31	83.2	83.2	NUM
bitcs-7654	175	32	%	%	NOUN
bitcs-7654	175	33	,	,	PUNCT
bitcs-7654	175	34	80.3	80.3	NUM
bitcs-7654	175	35	%	%	NOUN
bitcs-7654	175	36	,	,	PUNCT
bitcs-7654	175	37	82.3	82.3	NUM
bitcs-7654	175	38	%	%	NOUN
bitcs-7654	175	39	,	,	PUNCT
bitcs-7654	175	40	94.2	94.2	NUM
bitcs-7654	175	41	%	%	NOUN
bitcs-7654	175	42	(	(	PUNCT
bitcs-7654	175	43	bharti	bharti	PROPN
bitcs-7654	175	44	,	,	PUNCT
bitcs-7654	175	45	khamparia	khamparia	PROPN
bitcs-7654	175	46	et	et	PROPN
bitcs-7654	175	47	al	al	PROPN
bitcs-7654	175	48	.	.	PROPN
bitcs-7654	175	49	2021	2021	NUM
bitcs-7654	175	50	)	)	PUNCT
bitcs-7654	175	51	hard	hard	ADJ
bitcs-7654	175	52	voting	voting	NOUN
bitcs-7654	175	53	ensemble	ensemble	ADJ
bitcs-7654	175	54	90.00	90.00	NUM
bitcs-7654	175	55	%	%	NOUN
bitcs-7654	175	56	(	(	PUNCT
bitcs-7654	175	57	atallah	atallah	PROPN
bitcs-7654	175	58	and	and	CCONJ
bitcs-7654	175	59	al	al	PROPN
bitcs-7654	175	60	-	-	PUNCT
bitcs-7654	175	61	mousa	mousa	PROPN
bitcs-7654	175	62	2019	2019	NUM
bitcs-7654	175	63	)	)	PUNCT
bitcs-7654	176	1	[	[	X
bitcs-7654	176	2	31	31	NUM
bitcs-7654	176	3	]	]	PUNCT
bitcs-7654	176	4	nb	nb	NOUN
bitcs-7654	176	5	84.51	84.51	NUM
bitcs-7654	176	6	%	%	NOUN
bitcs-7654	176	7	(	(	PUNCT
bitcs-7654	176	8	tougui	tougui	NOUN
bitcs-7654	176	9	,	,	PUNCT
bitcs-7654	176	10	jilbab	jilbab	PROPN
bitcs-7654	176	11	et	et	PROPN
bitcs-7654	176	12	al	al	PROPN
bitcs-7654	176	13	.	.	PROPN
bitcs-7654	176	14	2020	2020	NUM
bitcs-7654	176	15	)	)	PUNCT
bitcs-7654	177	1	[	[	X
bitcs-7654	177	2	32	32	NUM
bitcs-7654	177	3	]	]	PUNCT
bitcs-7654	177	4	knn	knn	PROPN
bitcs-7654	177	5	85.00	85.00	NUM
bitcs-7654	177	6	%	%	NOUN
bitcs-7654	177	7	(	(	PUNCT
bitcs-7654	177	8	pawlovsky	pawlovsky	ADJ
bitcs-7654	177	9	2018	2018	NUM
bitcs-7654	177	10	)	)	PUNCT
bitcs-7654	178	1	[	[	X
bitcs-7654	178	2	33	33	NUM
bitcs-7654	178	3	]	]	PUNCT
bitcs-7654	178	4	rf+dt	rf+dt	NOUN
bitcs-7654	178	5	88.70	88.70	NUM
bitcs-7654	178	6	%	%	NOUN
bitcs-7654	178	7	(	(	PUNCT
bitcs-7654	178	8	kavitha	kavitha	PROPN
bitcs-7654	178	9	,	,	PUNCT
bitcs-7654	178	10	gnaneswar	gnaneswar	NOUN
bitcs-7654	178	11	et	et	PROPN
bitcs-7654	178	12	al	al	PROPN
bitcs-7654	178	13	.	.	PROPN
bitcs-7654	178	14	2021	2021	NUM
bitcs-7654	178	15	)	)	PUNCT
bitcs-7654	179	1	[	[	X
bitcs-7654	179	2	34	34	NUM
bitcs-7654	179	3	]	]	X
bitcs-7654	179	4	ann	ann	PROPN
bitcs-7654	179	5	82.49	82.49	NUM
bitcs-7654	179	6	%	%	NOUN
bitcs-7654	179	7	(	(	PUNCT
bitcs-7654	179	8	almazroi	almazroi	NOUN
bitcs-7654	179	9	,	,	PUNCT
bitcs-7654	179	10	aldhahri	aldhahri	PROPN
bitcs-7654	179	11	et	et	PROPN
bitcs-7654	179	12	al	al	PROPN
bitcs-7654	179	13	.	.	PROPN
bitcs-7654	179	14	2023	2023	NUM
bitcs-7654	179	15	)	)	PUNCT
bitcs-7654	180	1	[	[	X
bitcs-7654	180	2	35	35	NUM
bitcs-7654	180	3	]	]	PUNCT
bitcs-7654	180	4	rf	rf	VERB
bitcs-7654	180	5	with	with	ADP
bitcs-7654	180	6	a	a	DET
bitcs-7654	180	7	linear	linear	ADJ
bitcs-7654	180	8	model	model	NOUN
bitcs-7654	180	9	88.70	88.70	NUM
bitcs-7654	180	10	%	%	NOUN
bitcs-7654	180	11	(	(	PUNCT
bitcs-7654	180	12	mohan	mohan	PROPN
bitcs-7654	180	13	,	,	PUNCT
bitcs-7654	180	14	thirumalai	thirumalai	PROPN
bitcs-7654	180	15	et	et	PROPN
bitcs-7654	180	16	al	al	PROPN
bitcs-7654	180	17	.	.	PROPN
bitcs-7654	180	18	2019	2019	NUM
bitcs-7654	180	19	)	)	PUNCT
bitcs-7654	181	1	[	[	X
bitcs-7654	181	2	36	36	NUM
bitcs-7654	181	3	]	]	X
bitcs-7654	181	4	lofs	lofs	NOUN
bitcs-7654	181	5	-	-	PUNCT
bitcs-7654	181	6	ann	ann	PROPN
bitcs-7654	181	7	90.5	90.5	NUM
bitcs-7654	181	8	%	%	NOUN
bitcs-7654	181	9	(	(	PUNCT
bitcs-7654	181	10	goyal	goyal	NOUN
bitcs-7654	181	11	2022	2022	NUM
bitcs-7654	181	12	)	)	PUNCT
bitcs-7654	182	1	[	[	X
bitcs-7654	182	2	37	37	NUM
bitcs-7654	182	3	]	]	PUNCT
bitcs-7654	182	4	proposed	propose	VERB
bitcs-7654	182	5	models	model	NOUN
bitcs-7654	182	6	99	99	NUM
bitcs-7654	182	7	%	%	NOUN
bitcs-7654	182	8	purposed	purpose	VERB
bitcs-7654	182	9	model	model	NOUN
bitcs-7654	182	10	iv	iv	NUM
bitcs-7654	182	11	.	.	PUNCT
bitcs-7654	182	12	conclusion	conclusion	NOUN
bitcs-7654	182	13	in	in	ADP
bitcs-7654	182	14	summary	summary	NOUN
bitcs-7654	182	15	,	,	PUNCT
bitcs-7654	182	16	our	our	PRON
bitcs-7654	182	17	research	research	NOUN
bitcs-7654	182	18	represents	represent	VERB
bitcs-7654	182	19	one	one	NUM
bitcs-7654	182	20	giant	giant	ADJ
bitcs-7654	182	21	stride	stride	NOUN
bitcs-7654	182	22	toward	toward	ADP
bitcs-7654	182	23	realizing	realize	VERB
bitcs-7654	182	24	the	the	DET
bitcs-7654	182	25	transformational	transformational	ADJ
bitcs-7654	182	26	potential	potential	NOUN
bitcs-7654	182	27	of	of	ADP
bitcs-7654	182	28	machine	machine	NOUN
bitcs-7654	182	29	learning	learning	NOUN
bitcs-7654	182	30	in	in	ADP
bitcs-7654	182	31	predicting	predict	VERB
bitcs-7654	182	32	heart	heart	NOUN
bitcs-7654	182	33	diseases	disease	NOUN
bitcs-7654	182	34	.	.	PUNCT
bitcs-7654	183	1	we	we	PRON
bitcs-7654	183	2	have	have	AUX
bitcs-7654	183	3	demonstrated	demonstrate	VERB
bitcs-7654	183	4	the	the	DET
bitcs-7654	183	5	efficacy	efficacy	NOUN
bitcs-7654	183	6	of	of	ADP
bitcs-7654	183	7	machine	machine	NOUN
bitcs-7654	183	8	learning	learning	NOUN
bitcs-7654	183	9	models	model	NOUN
bitcs-7654	183	10	for	for	ADP
bitcs-7654	183	11	augmenting	augment	VERB
bitcs-7654	183	12	traditional	traditional	ADJ
bitcs-7654	183	13	approaches	approach	NOUN
bitcs-7654	183	14	in	in	ADP
bitcs-7654	183	15	heart	heart	NOUN
bitcs-7654	183	16	disease	disease	NOUN
bitcs-7654	183	17	diagnosis	diagnosis	NOUN
bitcs-7654	183	18	and	and	CCONJ
bitcs-7654	183	19	risk	risk	NOUN
bitcs-7654	183	20	assessment	assessment	NOUN
bitcs-7654	183	21	through	through	ADP
bitcs-7654	183	22	careful	careful	ADJ
bitcs-7654	183	23	experimentation	experimentation	NOUN
bitcs-7654	183	24	,	,	PUNCT
bitcs-7654	183	25	rigorous	rigorous	ADJ
bitcs-7654	183	26	evaluation	evaluation	NOUN
bitcs-7654	183	27	,	,	PUNCT
bitcs-7654	183	28	and	and	CCONJ
bitcs-7654	183	29	nuanced	nuanced	ADJ
bitcs-7654	183	30	interpretation	interpretation	NOUN
bitcs-7654	183	31	.	.	PUNCT
bitcs-7654	184	1	we	we	PRON
bitcs-7654	184	2	unravelled	unravel	VERB
bitcs-7654	184	3	some	some	DET
bitcs-7654	184	4	novel	novel	ADJ
bitcs-7654	184	5	insights	insight	NOUN
bitcs-7654	184	6	into	into	ADP
bitcs-7654	184	7	the	the	DET
bitcs-7654	184	8	complex	complex	ADJ
bitcs-7654	184	9	interplay	interplay	NOUN
bitcs-7654	184	10	of	of	ADP
bitcs-7654	184	11	factors	factor	NOUN
bitcs-7654	184	12	contributing	contribute	VERB
bitcs-7654	184	13	to	to	ADP
bitcs-7654	184	14	heart	heart	NOUN
bitcs-7654	184	15	disease	disease	NOUN
bitcs-7654	184	16	manifestation	manifestation	NOUN
bitcs-7654	184	17	and	and	CCONJ
bitcs-7654	184	18	progression	progression	NOUN
bitcs-7654	184	19	by	by	ADP
bitcs-7654	184	20	applying	apply	VERB
bitcs-7654	184	21	state	state	NOUN
bitcs-7654	184	22	-	-	PUNCT
bitcs-7654	184	23	of	of	ADP
bitcs-7654	184	24	-	-	PUNCT
bitcs-7654	184	25	the	the	DET
bitcs-7654	184	26	-	-	PUNCT
bitcs-7654	184	27	art	art	NOUN
bitcs-7654	184	28	methodologies	methodology	NOUN
bitcs-7654	184	29	and	and	CCONJ
bitcs-7654	184	30	a	a	DET
bitcs-7654	184	31	multidisciplinary	multidisciplinary	ADJ
bitcs-7654	184	32	approach	approach	NOUN
bitcs-7654	184	33	.	.	PUNCT
bitcs-7654	185	1	our	our	PRON
bitcs-7654	185	2	results	result	NOUN
bitcs-7654	185	3	are	be	AUX
bitcs-7654	185	4	,	,	PUNCT
bitcs-7654	185	5	therefore	therefore	ADV
bitcs-7654	185	6	,	,	PUNCT
bitcs-7654	185	7	more	more	ADJ
bitcs-7654	185	8	than	than	ADP
bitcs-7654	185	9	a	a	DET
bitcs-7654	185	10	technical	technical	ADJ
bitcs-7654	185	11	tour	tour	NOUN
bitcs-7654	185	12	de	de	X
bitcs-7654	185	13	force	force	NOUN
bitcs-7654	185	14	;	;	PUNCT
bitcs-7654	185	15	they	they	PRON
bitcs-7654	185	16	also	also	ADV
bitcs-7654	185	17	demonstrate	demonstrate	VERB
bitcs-7654	185	18	the	the	DET
bitcs-7654	185	19	transformational	transformational	ADJ
bitcs-7654	185	20	impact	impact	NOUN
bitcs-7654	185	21	machine	machine	NOUN
bitcs-7654	185	22	learning	learning	NOUN
bitcs-7654	185	23	in	in	ADP
bitcs-7654	185	24	healthcare	healthcare	NOUN
bitcs-7654	185	25	can	can	AUX
bitcs-7654	185	26	enable	enable	VERB
bitcs-7654	185	27	for	for	ADP
bitcs-7654	185	28	proactive	proactive	ADJ
bitcs-7654	185	29	and	and	CCONJ
bitcs-7654	185	30	personalized	personalized	ADJ
bitcs-7654	185	31	healthcare	healthcare	NOUN
bitcs-7654	185	32	interventions	intervention	NOUN
bitcs-7654	185	33	.	.	PUNCT
bitcs-7654	186	1	as	as	ADP
bitcs-7654	186	2	such	such	ADJ
bitcs-7654	186	3	,	,	PUNCT
bitcs-7654	186	4	the	the	DET
bitcs-7654	186	5	promise	promise	NOUN
bitcs-7654	186	6	of	of	ADP
bitcs-7654	186	7	further	far	ADV
bitcs-7654	186	8	increasing	increase	VERB
bitcs-7654	186	9	predictive	predictive	ADJ
bitcs-7654	186	10	accuracy	accuracy	NOUN
bitcs-7654	186	11	,	,	PUNCT
bitcs-7654	186	12	reliability	reliability	NOUN
bitcs-7654	186	13	,	,	PUNCT
bitcs-7654	186	14	and	and	CCONJ
bitcs-7654	186	15	interpretability	interpretability	NOUN
bitcs-7654	186	16	with	with	ADP
bitcs-7654	186	17	vol	vol	NOUN
bitcs-7654	186	18	.	.	PROPN
bitcs-7654	186	19	6	6	NUM
bitcs-7654	186	20	,	,	PUNCT
bitcs-7654	186	21	no.1	no.1	NUM
bitcs-7654	186	22	,	,	PUNCT
bitcs-7654	186	23	january	january	NOUN
bitcs-7654	186	24	2025	2025	NUM
bitcs-7654	186	25	|	|	ADV
bitcs-7654	186	26	54	54	NUM
bitcs-7654	186	27	continued	continue	VERB
bitcs-7654	186	28	exploration	exploration	NOUN
bitcs-7654	186	29	and	and	CCONJ
bitcs-7654	186	30	innovation	innovation	NOUN
bitcs-7654	186	31	in	in	ADP
bitcs-7654	186	32	machine	machine	NOUN
bitcs-7654	186	33	learning	learn	VERB
bitcs-7654	186	34	techniques	technique	NOUN
bitcs-7654	186	35	lies	lie	VERB
bitcs-7654	186	36	in	in	ADP
bitcs-7654	186	37	these	these	DET
bitcs-7654	186	38	critical	critical	ADJ
bitcs-7654	186	39	dimensions	dimension	NOUN
bitcs-7654	186	40	:	:	PUNCT
bitcs-7654	186	41	ultimately	ultimately	ADV
bitcs-7654	186	42	advancing	advance	VERB
bitcs-7654	186	43	improved	improved	ADJ
bitcs-7654	186	44	patient	patient	ADJ
bitcs-7654	186	45	outcomes	outcome	NOUN
bitcs-7654	186	46	and	and	CCONJ
bitcs-7654	186	47	better	well	ADJ
bitcs-7654	186	48	clinical	clinical	ADJ
bitcs-7654	186	49	decision	decision	NOUN
bitcs-7654	186	50	-	-	PUNCT
bitcs-7654	186	51	making	making	NOUN
bitcs-7654	186	52	.	.	PUNCT
bitcs-7654	187	1	references	reference	NOUN
bitcs-7654	187	2	[	[	X
bitcs-7654	187	3	1	1	X
bitcs-7654	187	4	]	]	PUNCT
bitcs-7654	187	5	heidenreich	heidenreich	X
bitcs-7654	187	6	,	,	PUNCT
bitcs-7654	187	7	p.	p.	NOUN
bitcs-7654	187	8	a.	a.	NOUN
bitcs-7654	187	9	,	,	PUNCT
bitcs-7654	187	10	et	et	PROPN
bitcs-7654	187	11	al	al	PROPN
bitcs-7654	187	12	.	.	PUNCT
bitcs-7654	188	1	(	(	PUNCT
bitcs-7654	188	2	2011	2011	NUM
bitcs-7654	188	3	)	)	PUNCT
bitcs-7654	188	4	.	.	PUNCT
bitcs-7654	189	1	"	"	PUNCT
bitcs-7654	189	2	forecasting	forecast	VERB
bitcs-7654	189	3	the	the	DET
bitcs-7654	189	4	future	future	NOUN
bitcs-7654	189	5	of	of	ADP
bitcs-7654	189	6	cardiovascular	cardiovascular	ADJ
bitcs-7654	189	7	disease	disease	NOUN
bitcs-7654	189	8	in	in	ADP
bitcs-7654	189	9	the	the	DET
bitcs-7654	189	10	united	united	PROPN
bitcs-7654	189	11	states	states	PROPN
bitcs-7654	189	12	:	:	PUNCT
bitcs-7654	189	13	a	a	DET
bitcs-7654	189	14	policy	policy	NOUN
bitcs-7654	189	15	statement	statement	NOUN
bitcs-7654	189	16	from	from	ADP
bitcs-7654	189	17	the	the	DET
bitcs-7654	189	18	american	american	PROPN
bitcs-7654	189	19	heart	heart	PROPN
bitcs-7654	189	20	association	association	PROPN
bitcs-7654	189	21	.	.	PUNCT
bitcs-7654	189	22	"	"	PUNCT
bitcs-7654	190	1	circulation	circulation	NOUN
bitcs-7654	190	2	123(8	123(8	NUM
bitcs-7654	190	3	):	):	PUNCT
bitcs-7654	190	4	933	933	NUM
bitcs-7654	190	5	-	-	SYM
bitcs-7654	190	6	944	944	NUM
bitcs-7654	190	7	.	.	PUNCT
bitcs-7654	191	1	[	[	X
bitcs-7654	191	2	2	2	NUM
bitcs-7654	191	3	]	]	X
bitcs-7654	191	4	conrad	conrad	PROPN
bitcs-7654	191	5	,	,	PUNCT
bitcs-7654	191	6	n.	n.	PROPN
bitcs-7654	191	7	,	,	PUNCT
bitcs-7654	191	8	et	et	PROPN
bitcs-7654	191	9	al	al	PROPN
bitcs-7654	191	10	.	.	PUNCT
bitcs-7654	191	11	(	(	PUNCT
bitcs-7654	191	12	2018	2018	NUM
bitcs-7654	191	13	)	)	PUNCT
bitcs-7654	191	14	.	.	PUNCT
bitcs-7654	192	1	"	"	PUNCT
bitcs-7654	192	2	temporal	temporal	ADJ
bitcs-7654	192	3	trends	trend	NOUN
bitcs-7654	192	4	and	and	CCONJ
bitcs-7654	192	5	patterns	pattern	NOUN
bitcs-7654	192	6	in	in	ADP
bitcs-7654	192	7	heart	heart	NOUN
bitcs-7654	192	8	failure	failure	NOUN
bitcs-7654	192	9	incidence	incidence	NOUN
bitcs-7654	192	10	:	:	PUNCT
bitcs-7654	192	11	a	a	DET
bitcs-7654	192	12	populationbased	populationbase	VERB
bitcs-7654	192	13	study	study	NOUN
bitcs-7654	192	14	of	of	ADP
bitcs-7654	192	15	4	4	NUM
bitcs-7654	192	16	million	million	NUM
bitcs-7654	192	17	individuals	individual	NOUN
bitcs-7654	192	18	.	.	PUNCT
bitcs-7654	192	19	"	"	PUNCT
bitcs-7654	193	1	the	the	DET
bitcs-7654	193	2	lancet	lancet	PROPN
bitcs-7654	193	3	391(10120	391(10120	NUM
bitcs-7654	193	4	):	):	PUNCT
bitcs-7654	193	5	572	572	NUM
bitcs-7654	193	6	-	-	SYM
bitcs-7654	193	7	580	580	NUM
bitcs-7654	193	8	.	.	PUNCT
bitcs-7654	194	1	[	[	X
bitcs-7654	194	2	3	3	NUM
bitcs-7654	194	3	]	]	X
bitcs-7654	194	4	lópez	lópez	NOUN
bitcs-7654	194	5	-	-	PUNCT
bitcs-7654	194	6	sendón	sendón	NOUN
bitcs-7654	194	7	,	,	PUNCT
bitcs-7654	194	8	j.	j.	PROPN
bitcs-7654	194	9	(	(	PUNCT
bitcs-7654	194	10	2011	2011	NUM
bitcs-7654	194	11	)	)	PUNCT
bitcs-7654	194	12	.	.	PUNCT
bitcs-7654	195	1	"	"	PUNCT
bitcs-7654	195	2	the	the	DET
bitcs-7654	195	3	heart	heart	NOUN
bitcs-7654	195	4	failure	failure	NOUN
bitcs-7654	195	5	epidemic	epidemic	NOUN
bitcs-7654	195	6	.	.	PUNCT
bitcs-7654	195	7	"	"	PUNCT
bitcs-7654	196	1	medicographia	medicographia	PROPN
bitcs-7654	196	2	33(4	33(4	NUM
bitcs-7654	196	3	):	):	PUNCT
bitcs-7654	196	4	363	363	NUM
bitcs-7654	196	5	-	-	SYM
bitcs-7654	196	6	369	369	NUM
bitcs-7654	196	7	.	.	PUNCT
bitcs-7654	197	1	[	[	X
bitcs-7654	197	2	4	4	NUM
bitcs-7654	197	3	]	]	X
bitcs-7654	197	4	allen	allen	PROPN
bitcs-7654	197	5	,	,	PUNCT
bitcs-7654	197	6	l.	l.	PROPN
bitcs-7654	197	7	a.	a.	PROPN
bitcs-7654	197	8	,	,	PUNCT
bitcs-7654	197	9	et	et	PROPN
bitcs-7654	197	10	al	al	PROPN
bitcs-7654	197	11	.	.	PUNCT
bitcs-7654	197	12	(	(	PUNCT
bitcs-7654	197	13	2012	2012	NUM
bitcs-7654	197	14	)	)	PUNCT
bitcs-7654	197	15	.	.	PUNCT
bitcs-7654	198	1	"	"	PUNCT
bitcs-7654	198	2	decision	decision	NOUN
bitcs-7654	198	3	making	making	NOUN
bitcs-7654	198	4	in	in	ADP
bitcs-7654	198	5	advanced	advanced	ADJ
bitcs-7654	198	6	heart	heart	NOUN
bitcs-7654	198	7	failure	failure	NOUN
bitcs-7654	198	8	:	:	PUNCT
bitcs-7654	198	9	a	a	DET
bitcs-7654	198	10	scientific	scientific	ADJ
bitcs-7654	198	11	statement	statement	NOUN
bitcs-7654	198	12	from	from	ADP
bitcs-7654	198	13	the	the	DET
bitcs-7654	198	14	american	american	PROPN
bitcs-7654	198	15	heart	heart	PROPN
bitcs-7654	198	16	association	association	PROPN
bitcs-7654	198	17	.	.	PUNCT
bitcs-7654	198	18	"	"	PUNCT
bitcs-7654	199	1	circulation	circulation	NOUN
bitcs-7654	199	2	125(15	125(15	NUM
bitcs-7654	199	3	):	):	PUNCT
bitcs-7654	199	4	1928	1928	NUM
bitcs-7654	199	5	-	-	SYM
bitcs-7654	199	6	1952	1952	NUM
bitcs-7654	199	7	.	.	PUNCT
bitcs-7654	200	1	[	[	X
bitcs-7654	200	2	5	5	NUM
bitcs-7654	200	3	]	]	PUNCT
bitcs-7654	200	4	ghwanmeh	ghwanmeh	NOUN
bitcs-7654	200	5	,	,	PUNCT
bitcs-7654	200	6	s.	s.	PROPN
bitcs-7654	200	7	,	,	PUNCT
bitcs-7654	200	8	et	et	PROPN
bitcs-7654	200	9	al	al	PROPN
bitcs-7654	200	10	.	.	PROPN
bitcs-7654	201	1	(	(	PUNCT
bitcs-7654	201	2	2013	2013	NUM
bitcs-7654	201	3	)	)	PUNCT
bitcs-7654	201	4	.	.	PUNCT
bitcs-7654	202	1	innovative	innovative	ADJ
bitcs-7654	202	2	artificial	artificial	ADJ
bitcs-7654	202	3	neural	neural	ADJ
bitcs-7654	202	4	networks	network	NOUN
bitcs-7654	202	5	-	-	PUNCT
bitcs-7654	202	6	based	base	VERB
bitcs-7654	202	7	decision	decision	NOUN
bitcs-7654	202	8	support	support	NOUN
bitcs-7654	202	9	system	system	NOUN
bitcs-7654	202	10	for	for	ADP
bitcs-7654	202	11	heart	heart	NOUN
bitcs-7654	202	12	diseases	disease	NOUN
bitcs-7654	202	13	diagnosis	diagnosis	NOUN
bitcs-7654	202	14	.	.	PUNCT
bitcs-7654	203	1	[	[	X
bitcs-7654	203	2	6	6	NUM
bitcs-7654	203	3	]	]	X
bitcs-7654	203	4	al	al	PROPN
bitcs-7654	203	5	-	-	PUNCT
bitcs-7654	203	6	shayea	shayea	PROPN
bitcs-7654	203	7	,	,	PUNCT
bitcs-7654	203	8	q.	q.	PROPN
bitcs-7654	203	9	k.	k.	PROPN
bitcs-7654	203	10	(	(	PUNCT
bitcs-7654	203	11	2011	2011	NUM
bitcs-7654	203	12	)	)	PUNCT
bitcs-7654	203	13	.	.	PUNCT
bitcs-7654	204	1	"	"	PUNCT
bitcs-7654	204	2	artificial	artificial	ADJ
bitcs-7654	204	3	neural	neural	ADJ
bitcs-7654	204	4	networks	network	NOUN
bitcs-7654	204	5	in	in	ADP
bitcs-7654	204	6	medical	medical	ADJ
bitcs-7654	204	7	diagnosis	diagnosis	NOUN
bitcs-7654	204	8	.	.	PUNCT
bitcs-7654	204	9	"	"	PUNCT
bitcs-7654	205	1	international	international	ADJ
bitcs-7654	205	2	journal	journal	NOUN
bitcs-7654	205	3	of	of	ADP
bitcs-7654	205	4	computer	computer	NOUN
bitcs-7654	205	5	science	science	NOUN
bitcs-7654	205	6	issues	issue	NOUN
bitcs-7654	205	7	8(2	8(2	NUM
bitcs-7654	205	8	):	):	PUNCT
bitcs-7654	205	9	150	150	NUM
bitcs-7654	205	10	-	-	SYM
bitcs-7654	205	11	154	154	NUM
bitcs-7654	205	12	[	[	X
bitcs-7654	205	13	7	7	NUM
bitcs-7654	205	14	]	]	X
bitcs-7654	205	15	gavhane	gavhane	NOUN
bitcs-7654	205	16	,	,	PUNCT
bitcs-7654	205	17	a.	a.	PROPN
bitcs-7654	205	18	,	,	PUNCT
bitcs-7654	205	19	et	et	PROPN
bitcs-7654	205	20	al	al	PROPN
bitcs-7654	205	21	.	.	PUNCT
bitcs-7654	206	1	(	(	PUNCT
bitcs-7654	206	2	2018	2018	NUM
bitcs-7654	206	3	)	)	PUNCT
bitcs-7654	206	4	.	.	PUNCT
bitcs-7654	207	1	prediction	prediction	NOUN
bitcs-7654	207	2	of	of	ADP
bitcs-7654	207	3	heart	heart	NOUN
bitcs-7654	207	4	disease	disease	NOUN
bitcs-7654	207	5	using	use	VERB
bitcs-7654	207	6	machine	machine	NOUN
bitcs-7654	207	7	learning	learning	NOUN
bitcs-7654	207	8	.	.	PUNCT
bitcs-7654	208	1	2018	2018	NUM
bitcs-7654	208	2	second	second	ADJ
bitcs-7654	208	3	international	international	ADJ
bitcs-7654	208	4	conference	conference	NOUN
bitcs-7654	208	5	on	on	ADP
bitcs-7654	208	6	electronics	electronic	NOUN
bitcs-7654	208	7	,	,	PUNCT
bitcs-7654	208	8	communication	communication	NOUN
bitcs-7654	208	9	and	and	CCONJ
bitcs-7654	208	10	aerospace	aerospace	NOUN
bitcs-7654	208	11	technology	technology	NOUN
bitcs-7654	208	12	(	(	PUNCT
bitcs-7654	208	13	iceca	iceca	NOUN
bitcs-7654	208	14	)	)	PUNCT
bitcs-7654	208	15	,	,	PUNCT
bitcs-7654	208	16	ieee	ieee	NOUN
bitcs-7654	208	17	.	.	PUNCT
bitcs-7654	209	1	[	[	X
bitcs-7654	209	2	8	8	NUM
bitcs-7654	209	3	]	]	X
bitcs-7654	209	4	chen	chen	PROPN
bitcs-7654	209	5	,	,	PUNCT
bitcs-7654	209	6	k.	k.	PROPN
bitcs-7654	209	7	,	,	PUNCT
bitcs-7654	209	8	et	et	PROPN
bitcs-7654	209	9	al	al	PROPN
bitcs-7654	209	10	.	.	PUNCT
bitcs-7654	209	11	(	(	PUNCT
bitcs-7654	209	12	2018	2018	NUM
bitcs-7654	209	13	)	)	PUNCT
bitcs-7654	209	14	.	.	PUNCT
bitcs-7654	210	1	heart	heart	NOUN
bitcs-7654	210	2	murmurs	murmur	VERB
bitcs-7654	210	3	clustering	cluster	VERB
bitcs-7654	210	4	using	use	VERB
bitcs-7654	210	5	machine	machine	NOUN
bitcs-7654	210	6	learning	learning	NOUN
bitcs-7654	210	7	.	.	PUNCT
bitcs-7654	211	1	2018	2018	NUM
bitcs-7654	211	2	14th	14th	NOUN
bitcs-7654	211	3	ieee	ieee	NOUN
bitcs-7654	211	4	international	international	ADJ
bitcs-7654	211	5	conference	conference	NOUN
bitcs-7654	211	6	on	on	ADP
bitcs-7654	211	7	signal	signal	ADJ
bitcs-7654	211	8	processing	processing	NOUN
bitcs-7654	211	9	(	(	PUNCT
bitcs-7654	211	10	icsp	icsp	ADJ
bitcs-7654	211	11	)	)	PUNCT
bitcs-7654	211	12	,	,	PUNCT
bitcs-7654	211	13	ieee	ieee	NOUN
bitcs-7654	211	14	.	.	PUNCT
bitcs-7654	212	1	[	[	X
bitcs-7654	212	2	9	9	NUM
bitcs-7654	212	3	]	]	X
bitcs-7654	212	4	islam	islam	PROPN
bitcs-7654	212	5	,	,	PUNCT
bitcs-7654	212	6	a.	a.	NOUN
bitcs-7654	212	7	m.	m.	NOUN
bitcs-7654	212	8	and	and	CCONJ
bitcs-7654	212	9	a.	a.	NOUN
bitcs-7654	212	10	majumder	majumder	NOUN
bitcs-7654	212	11	(	(	PUNCT
bitcs-7654	212	12	2013	2013	NUM
bitcs-7654	212	13	)	)	PUNCT
bitcs-7654	212	14	.	.	PUNCT
bitcs-7654	213	1	"	"	PUNCT
bitcs-7654	213	2	coronary	coronary	ADJ
bitcs-7654	213	3	artery	artery	NOUN
bitcs-7654	213	4	disease	disease	NOUN
bitcs-7654	213	5	in	in	ADP
bitcs-7654	213	6	bangladesh	bangladesh	PROPN
bitcs-7654	213	7	:	:	PUNCT
bitcs-7654	213	8	a	a	DET
bitcs-7654	213	9	review	review	NOUN
bitcs-7654	213	10	.	.	PUNCT
bitcs-7654	213	11	"	"	PUNCT
bitcs-7654	214	1	indian	indian	ADJ
bitcs-7654	214	2	heart	heart	PROPN
bitcs-7654	214	3	journal	journal	PROPN
bitcs-7654	214	4	65(4	65(4	PROPN
bitcs-7654	214	5	):	):	PUNCT
bitcs-7654	214	6	424	424	NUM
bitcs-7654	214	7	-	-	SYM
bitcs-7654	214	8	435	435	NUM
bitcs-7654	214	9	.	.	PUNCT
bitcs-7654	215	1	[	[	X
bitcs-7654	215	2	10	10	NUM
bitcs-7654	215	3	]	]	X
bitcs-7654	215	4	melnyk	melnyk	ADV
bitcs-7654	215	5	,	,	PUNCT
bitcs-7654	215	6	j.	j.	PROPN
bitcs-7654	215	7	,	,	PUNCT
bitcs-7654	215	8	et	et	PROPN
bitcs-7654	215	9	al	al	PROPN
bitcs-7654	215	10	.	.	PUNCT
bitcs-7654	216	1	(	(	PUNCT
bitcs-7654	216	2	2015	2015	NUM
bitcs-7654	216	3	)	)	PUNCT
bitcs-7654	216	4	.	.	PUNCT
bitcs-7654	217	1	"	"	PUNCT
bitcs-7654	217	2	awareness	awareness	NOUN
bitcs-7654	217	3	and	and	CCONJ
bitcs-7654	217	4	knowledge	knowledge	NOUN
bitcs-7654	217	5	of	of	ADP
bitcs-7654	217	6	cardiovascular	cardiovascular	ADJ
bitcs-7654	217	7	risk	risk	NOUN
bitcs-7654	217	8	through	through	ADP
bitcs-7654	217	9	blood	blood	NOUN
bitcs-7654	217	10	pressure	pressure	NOUN
bitcs-7654	217	11	and	and	CCONJ
bitcs-7654	217	12	cholesterol	cholesterol	NOUN
bitcs-7654	217	13	testing	testing	NOUN
bitcs-7654	217	14	in	in	ADP
bitcs-7654	217	15	college	college	NOUN
bitcs-7654	217	16	freshmen	freshman	NOUN
bitcs-7654	217	17	.	.	PUNCT
bitcs-7654	217	18	"	"	PUNCT
bitcs-7654	218	1	american	american	ADJ
bitcs-7654	218	2	journal	journal	PROPN
bitcs-7654	218	3	of	of	ADP
bitcs-7654	218	4	health	health	PROPN
bitcs-7654	218	5	education	education	PROPN
bitcs-7654	218	6	46(3	46(3	NOUN
bitcs-7654	218	7	):	):	PUNCT
bitcs-7654	218	8	138	138	NUM
bitcs-7654	218	9	-	-	SYM
bitcs-7654	218	10	143	143	NUM
bitcs-7654	218	11	.	.	PUNCT
bitcs-7654	219	1	[	[	X
bitcs-7654	219	2	11	11	NUM
bitcs-7654	219	3	]	]	SYM
bitcs-7654	219	4	nahar	nahar	PROPN
bitcs-7654	219	5	,	,	PUNCT
bitcs-7654	219	6	j.	j.	PROPN
bitcs-7654	219	7	,	,	PUNCT
bitcs-7654	219	8	et	et	PROPN
bitcs-7654	219	9	al	al	PROPN
bitcs-7654	219	10	.	.	PROPN
bitcs-7654	219	11	(	(	PUNCT
bitcs-7654	219	12	2013	2013	NUM
bitcs-7654	219	13	)	)	PUNCT
bitcs-7654	219	14	.	.	PUNCT
bitcs-7654	219	15	"	"	PUNCT
bitcs-7654	219	16	computational	computational	ADJ
bitcs-7654	219	17	intelligence	intelligence	NOUN
bitcs-7654	219	18	for	for	ADP
bitcs-7654	219	19	heart	heart	NOUN
bitcs-7654	219	20	disease	disease	NOUN
bitcs-7654	219	21	diagnosis	diagnosis	NOUN
bitcs-7654	219	22	:	:	PUNCT
bitcs-7654	219	23	a	a	DET
bitcs-7654	219	24	medical	medical	ADJ
bitcs-7654	219	25	knowledge	knowledge	NOUN
bitcs-7654	219	26	driven	drive	VERB
bitcs-7654	219	27	approach	approach	NOUN
bitcs-7654	219	28	.	.	PUNCT
bitcs-7654	219	29	"	"	PUNCT
bitcs-7654	220	1	expert	expert	ADJ
bitcs-7654	220	2	systems	system	NOUN
bitcs-7654	220	3	with	with	ADP
bitcs-7654	220	4	applications	application	NOUN
bitcs-7654	220	5	40(1	40(1	NOUN
bitcs-7654	220	6	):	):	PUNCT
bitcs-7654	220	7	96	96	NUM
bitcs-7654	220	8	-	-	SYM
bitcs-7654	220	9	104	104	NUM
bitcs-7654	220	10	.	.	PUNCT
bitcs-7654	221	1	[	[	X
bitcs-7654	221	2	12	12	NUM
bitcs-7654	221	3	]	]	X
bitcs-7654	221	4	sree	sree	PROPN
bitcs-7654	221	5	,	,	PUNCT
bitcs-7654	221	6	s.	s.	PROPN
bitcs-7654	221	7	v.	v.	PROPN
bitcs-7654	221	8	,	,	PUNCT
bitcs-7654	221	9	et	et	PROPN
bitcs-7654	221	10	al	al	PROPN
bitcs-7654	221	11	.	.	PUNCT
bitcs-7654	221	12	(	(	PUNCT
bitcs-7654	221	13	2012	2012	NUM
bitcs-7654	221	14	)	)	PUNCT
bitcs-7654	221	15	.	.	PUNCT
bitcs-7654	222	1	"	"	PUNCT
bitcs-7654	222	2	cardiac	cardiac	ADJ
bitcs-7654	222	3	arrhythmia	arrhythmia	NOUN
bitcs-7654	222	4	diagnosis	diagnosis	NOUN
bitcs-7654	222	5	by	by	ADP
bitcs-7654	222	6	hrv	hrv	NOUN
bitcs-7654	222	7	signal	signal	NOUN
bitcs-7654	222	8	processing	processing	NOUN
bitcs-7654	222	9	using	use	VERB
bitcs-7654	222	10	principal	principal	ADJ
bitcs-7654	222	11	component	component	NOUN
bitcs-7654	222	12	analysis	analysis	NOUN
bitcs-7654	222	13	.	.	PUNCT
bitcs-7654	222	14	"	"	PUNCT
bitcs-7654	223	1	journal	journal	NOUN
bitcs-7654	223	2	of	of	ADP
bitcs-7654	223	3	mechanics	mechanic	NOUN
bitcs-7654	223	4	in	in	ADP
bitcs-7654	223	5	medicine	medicine	NOUN
bitcs-7654	223	6	and	and	CCONJ
bitcs-7654	223	7	biology	biology	NOUN
bitcs-7654	223	8	12(05	12(05	PROPN
bitcs-7654	223	9	):	):	PUNCT
bitcs-7654	223	10	1240032	1240032	NUM
bitcs-7654	223	11	.	.	PUNCT
bitcs-7654	224	1	[	[	X
bitcs-7654	224	2	13	13	NUM
bitcs-7654	224	3	]	]	X
bitcs-7654	224	4	liu	liu	PROPN
bitcs-7654	224	5	,	,	PUNCT
bitcs-7654	224	6	n.	n.	PROPN
bitcs-7654	224	7	,	,	PUNCT
bitcs-7654	224	8	et	et	PROPN
bitcs-7654	224	9	al	al	PROPN
bitcs-7654	224	10	.	.	PUNCT
bitcs-7654	224	11	(	(	PUNCT
bitcs-7654	224	12	2012	2012	NUM
bitcs-7654	224	13	)	)	PUNCT
bitcs-7654	224	14	.	.	PUNCT
bitcs-7654	225	1	"	"	PUNCT
bitcs-7654	225	2	an	an	DET
bitcs-7654	225	3	intelligent	intelligent	ADJ
bitcs-7654	225	4	scoring	scoring	NOUN
bitcs-7654	225	5	system	system	NOUN
bitcs-7654	225	6	and	and	CCONJ
bitcs-7654	225	7	its	its	PRON
bitcs-7654	225	8	application	application	NOUN
bitcs-7654	225	9	to	to	ADP
bitcs-7654	225	10	cardiac	cardiac	ADJ
bitcs-7654	225	11	arrest	arrest	NOUN
bitcs-7654	225	12	prediction	prediction	NOUN
bitcs-7654	225	13	.	.	PUNCT
bitcs-7654	225	14	"	"	PUNCT
bitcs-7654	226	1	ieee	ieee	NOUN
bitcs-7654	226	2	transactions	transaction	NOUN
bitcs-7654	226	3	on	on	ADP
bitcs-7654	226	4	information	information	NOUN
bitcs-7654	226	5	technology	technology	NOUN
bitcs-7654	226	6	in	in	ADP
bitcs-7654	226	7	biomedicine	biomedicine	NOUN
bitcs-7654	226	8	16(6	16(6	NUM
bitcs-7654	226	9	):	):	PUNCT
bitcs-7654	226	10	1324	1324	NUM
bitcs-7654	226	11	-	-	SYM
bitcs-7654	226	12	1331	1331	NUM
bitcs-7654	226	13	.	.	PUNCT
bitcs-7654	227	1	[	[	X
bitcs-7654	227	2	14	14	NUM
bitcs-7654	227	3	]	]	SYM
bitcs-7654	227	4	exarchos	exarchos	PROPN
bitcs-7654	227	5	,	,	PUNCT
bitcs-7654	227	6	k.	k.	PROPN
bitcs-7654	228	1	p.	p.	PROPN
bitcs-7654	228	2	,	,	PUNCT
bitcs-7654	228	3	et	et	PROPN
bitcs-7654	228	4	al	al	PROPN
bitcs-7654	228	5	.	.	PUNCT
bitcs-7654	228	6	(	(	PUNCT
bitcs-7654	228	7	2014	2014	NUM
bitcs-7654	228	8	)	)	PUNCT
bitcs-7654	228	9	.	.	PUNCT
bitcs-7654	229	1	"	"	PUNCT
bitcs-7654	229	2	a	a	DET
bitcs-7654	229	3	multiscale	multiscale	ADJ
bitcs-7654	229	4	approach	approach	NOUN
bitcs-7654	229	5	for	for	ADP
bitcs-7654	229	6	modeling	model	VERB
bitcs-7654	229	7	atherosclerosis	atherosclerosis	NOUN
bitcs-7654	229	8	progression	progression	NOUN
bitcs-7654	229	9	.	.	PUNCT
bitcs-7654	229	10	"	"	PUNCT
bitcs-7654	229	11	ieee	ieee	PROPN
bitcs-7654	229	12	journal	journal	PROPN
bitcs-7654	229	13	of	of	ADP
bitcs-7654	229	14	biomedical	biomedical	ADJ
bitcs-7654	229	15	and	and	CCONJ
bitcs-7654	229	16	health	health	NOUN
bitcs-7654	229	17	informatics	informatic	NOUN
bitcs-7654	229	18	19(2	19(2	NUM
bitcs-7654	229	19	):	):	PUNCT
bitcs-7654	229	20	709	709	NUM
bitcs-7654	229	21	-	-	SYM
bitcs-7654	229	22	719	719	NUM
bitcs-7654	229	23	.	.	PUNCT
bitcs-7654	230	1	[	[	X
bitcs-7654	230	2	15	15	NUM
bitcs-7654	230	3	]	]	X
bitcs-7654	230	4	wiharto	wiharto	NOUN
bitcs-7654	230	5	,	,	PUNCT
bitcs-7654	230	6	w.	w.	PROPN
bitcs-7654	230	7	,	,	PUNCT
bitcs-7654	230	8	et	et	PROPN
bitcs-7654	230	9	al	al	PROPN
bitcs-7654	230	10	.	.	PUNCT
bitcs-7654	231	1	(	(	PUNCT
bitcs-7654	231	2	2016	2016	NUM
bitcs-7654	231	3	)	)	PUNCT
bitcs-7654	231	4	.	.	PUNCT
bitcs-7654	232	1	"	"	PUNCT
bitcs-7654	232	2	intelligence	intelligence	NOUN
bitcs-7654	232	3	system	system	NOUN
bitcs-7654	232	4	for	for	ADP
bitcs-7654	232	5	diagnosis	diagnosis	NOUN
bitcs-7654	232	6	level	level	NOUN
bitcs-7654	232	7	of	of	ADP
bitcs-7654	232	8	coronary	coronary	ADJ
bitcs-7654	232	9	heart	heart	NOUN
bitcs-7654	232	10	disease	disease	NOUN
bitcs-7654	232	11	with	with	ADP
bitcs-7654	232	12	k	k	ADJ
bitcs-7654	232	13	-	-	ADJ
bitcs-7654	232	14	star	star	NOUN
bitcs-7654	232	15	algorithm	algorithm	NOUN
bitcs-7654	232	16	.	.	PUNCT
bitcs-7654	232	17	"	"	PUNCT
bitcs-7654	233	1	healthcare	healthcare	PROPN
bitcs-7654	233	2	informatics	informatics	PROPN
bitcs-7654	233	3	research	research	VERB
bitcs-7654	233	4	22(1	22(1	NUM
bitcs-7654	233	5	):	):	PUNCT
bitcs-7654	233	6	30	30	NUM
bitcs-7654	233	7	.	.	PUNCT
bitcs-7654	234	1	[	[	X
bitcs-7654	234	2	16	16	NUM
bitcs-7654	234	3	]	]	X
bitcs-7654	234	4	saboor	saboor	NOUN
bitcs-7654	234	5	,	,	PUNCT
bitcs-7654	234	6	a.	a.	NOUN
bitcs-7654	234	7	,	,	PUNCT
bitcs-7654	234	8	et	et	PROPN
bitcs-7654	234	9	al	al	PROPN
bitcs-7654	234	10	.	.	PROPN
bitcs-7654	234	11	(	(	PUNCT
bitcs-7654	234	12	2022	2022	NUM
bitcs-7654	234	13	)	)	PUNCT
bitcs-7654	234	14	.	.	PUNCT
bitcs-7654	235	1	"	"	PUNCT
bitcs-7654	235	2	a	a	DET
bitcs-7654	235	3	method	method	NOUN
bitcs-7654	235	4	for	for	ADP
bitcs-7654	235	5	improving	improve	VERB
bitcs-7654	235	6	prediction	prediction	NOUN
bitcs-7654	235	7	of	of	ADP
bitcs-7654	235	8	human	human	ADJ
bitcs-7654	235	9	heart	heart	NOUN
bitcs-7654	235	10	disease	disease	NOUN
bitcs-7654	235	11	using	use	VERB
bitcs-7654	235	12	machine	machine	NOUN
bitcs-7654	235	13	learning	learning	NOUN
bitcs-7654	235	14	algorithms	algorithm	NOUN
bitcs-7654	235	15	.	.	PUNCT
bitcs-7654	235	16	"	"	PUNCT
bitcs-7654	236	1	mobile	mobile	ADJ
bitcs-7654	236	2	information	information	NOUN
bitcs-7654	236	3	systems	system	NOUN
bitcs-7654	236	4	2022(1	2022(1	NUM
bitcs-7654	236	5	):	):	PUNCT
bitcs-7654	236	6	1410169	1410169	NUM
bitcs-7654	236	7	.	.	PUNCT
bitcs-7654	237	1	[	[	X
bitcs-7654	237	2	17	17	NUM
bitcs-7654	237	3	]	]	X
bitcs-7654	237	4	ahmad	ahmad	PROPN
bitcs-7654	237	5	,	,	PUNCT
bitcs-7654	237	6	g.	g.	PROPN
bitcs-7654	237	7	n.	n.	PROPN
bitcs-7654	237	8	,	,	PUNCT
bitcs-7654	237	9	et	et	PROPN
bitcs-7654	237	10	al	al	PROPN
bitcs-7654	237	11	.	.	PROPN
bitcs-7654	238	1	(	(	PUNCT
bitcs-7654	238	2	2022	2022	NUM
bitcs-7654	238	3	)	)	PUNCT
bitcs-7654	238	4	.	.	PUNCT
bitcs-7654	239	1	"	"	PUNCT
bitcs-7654	239	2	efficient	efficient	ADJ
bitcs-7654	239	3	medical	medical	ADJ
bitcs-7654	239	4	diagnosis	diagnosis	NOUN
bitcs-7654	239	5	of	of	ADP
bitcs-7654	239	6	human	human	ADJ
bitcs-7654	239	7	heart	heart	NOUN
bitcs-7654	239	8	diseases	disease	NOUN
bitcs-7654	239	9	using	use	VERB
bitcs-7654	239	10	machine	machine	NOUN
bitcs-7654	239	11	learning	learn	VERB
bitcs-7654	239	12	techniques	technique	NOUN
bitcs-7654	239	13	with	with	ADP
bitcs-7654	239	14	and	and	CCONJ
bitcs-7654	239	15	without	without	ADP
bitcs-7654	239	16	gridsearchcv	gridsearchcv	NOUN
bitcs-7654	239	17	.	.	PUNCT
bitcs-7654	239	18	"	"	PUNCT
bitcs-7654	240	1	ieee	ieee	NOUN
bitcs-7654	240	2	access	access	NOUN
bitcs-7654	240	3	10	10	NUM
bitcs-7654	240	4	:	:	PUNCT
bitcs-7654	240	5	80151	80151	NUM
bitcs-7654	240	6	-	-	SYM
bitcs-7654	240	7	80173	80173	NUM
bitcs-7654	240	8	.	.	PUNCT
bitcs-7654	241	1	[	[	X
bitcs-7654	241	2	18	18	NUM
bitcs-7654	241	3	]	]	X
bitcs-7654	241	4	ahmad	ahmad	PROPN
bitcs-7654	241	5	,	,	PUNCT
bitcs-7654	241	6	g.	g.	PROPN
bitcs-7654	241	7	n.	n.	PROPN
bitcs-7654	241	8	,	,	PUNCT
bitcs-7654	241	9	et	et	PROPN
bitcs-7654	241	10	al	al	PROPN
bitcs-7654	241	11	.	.	PROPN
bitcs-7654	241	12	(	(	PUNCT
bitcs-7654	241	13	2022	2022	NUM
bitcs-7654	241	14	)	)	PUNCT
bitcs-7654	241	15	.	.	PUNCT
bitcs-7654	241	16	"	"	PUNCT
bitcs-7654	241	17	comparative	comparative	ADJ
bitcs-7654	241	18	study	study	NOUN
bitcs-7654	241	19	of	of	ADP
bitcs-7654	241	20	optimum	optimum	ADJ
bitcs-7654	241	21	medical	medical	ADJ
bitcs-7654	241	22	diagnosis	diagnosis	NOUN
bitcs-7654	241	23	of	of	ADP
bitcs-7654	241	24	human	human	ADJ
bitcs-7654	241	25	heart	heart	NOUN
bitcs-7654	241	26	disease	disease	NOUN
bitcs-7654	241	27	using	use	VERB
bitcs-7654	241	28	machine	machine	NOUN
bitcs-7654	241	29	learning	learning	NOUN
bitcs-7654	241	30	technique	technique	NOUN
bitcs-7654	241	31	with	with	ADP
bitcs-7654	241	32	and	and	CCONJ
bitcs-7654	241	33	without	without	ADP
bitcs-7654	241	34	sequential	sequential	ADJ
bitcs-7654	241	35	feature	feature	NOUN
bitcs-7654	241	36	selection	selection	NOUN
bitcs-7654	241	37	.	.	PUNCT
bitcs-7654	241	38	"	"	PUNCT
bitcs-7654	242	1	ieee	ieee	NOUN
bitcs-7654	242	2	access	access	NOUN
bitcs-7654	242	3	10	10	NUM
bitcs-7654	242	4	:	:	PUNCT
bitcs-7654	242	5	23808	23808	NUM
bitcs-7654	242	6	-	-	SYM
bitcs-7654	242	7	23828	23828	NUM
bitcs-7654	242	8	.	.	PUNCT
bitcs-7654	243	1	[	[	X
bitcs-7654	243	2	19	19	NUM
bitcs-7654	243	3	]	]	X
bitcs-7654	243	4	suresh	suresh	NOUN
bitcs-7654	243	5	,	,	PUNCT
bitcs-7654	243	6	t.	t.	PROPN
bitcs-7654	243	7	,	,	PUNCT
bitcs-7654	243	8	et	et	PROPN
bitcs-7654	243	9	al	al	PROPN
bitcs-7654	243	10	.	.	PROPN
bitcs-7654	243	11	(	(	PUNCT
bitcs-7654	243	12	2022	2022	NUM
bitcs-7654	243	13	)	)	PUNCT
bitcs-7654	243	14	.	.	PUNCT
bitcs-7654	244	1	"	"	PUNCT
bitcs-7654	244	2	a	a	DET
bitcs-7654	244	3	hybrid	hybrid	ADJ
bitcs-7654	244	4	approach	approach	NOUN
bitcs-7654	244	5	to	to	ADP
bitcs-7654	244	6	medical	medical	ADJ
bitcs-7654	244	7	decision	decision	NOUN
bitcs-7654	244	8	-	-	PUNCT
bitcs-7654	244	9	making	making	NOUN
bitcs-7654	244	10	:	:	PUNCT
bitcs-7654	244	11	diagnosis	diagnosis	NOUN
bitcs-7654	244	12	of	of	ADP
bitcs-7654	244	13	heart	heart	NOUN
bitcs-7654	244	14	disease	disease	NOUN
bitcs-7654	244	15	with	with	ADP
bitcs-7654	244	16	machine	machine	NOUN
bitcs-7654	244	17	-	-	PUNCT
bitcs-7654	244	18	learning	learn	VERB
bitcs-7654	244	19	model	model	NOUN
bitcs-7654	244	20	.	.	PUNCT
bitcs-7654	244	21	"	"	PUNCT
bitcs-7654	245	1	international	international	ADJ
bitcs-7654	245	2	journal	journal	NOUN
bitcs-7654	245	3	of	of	ADP
bitcs-7654	245	4	electrical	electrical	ADJ
bitcs-7654	245	5	and	and	CCONJ
bitcs-7654	245	6	computer	computer	NOUN
bitcs-7654	245	7	engineering	engineering	NOUN
bitcs-7654	245	8	(	(	PUNCT
bitcs-7654	245	9	ijece	ijece	PROPN
bitcs-7654	245	10	)	)	PUNCT
bitcs-7654	245	11	12(2	12(2	NUM
bitcs-7654	245	12	):	):	PUNCT
bitcs-7654	245	13	1831	1831	NUM
bitcs-7654	245	14	-	-	SYM
bitcs-7654	245	15	1838	1838	NUM
bitcs-7654	245	16	.	.	PUNCT
bitcs-7654	246	1	[	[	X
bitcs-7654	246	2	20	20	NUM
bitcs-7654	246	3	]	]	X
bitcs-7654	246	4	pal	pal	NOUN
bitcs-7654	246	5	,	,	PUNCT
bitcs-7654	246	6	m.	m.	NOUN
bitcs-7654	246	7	,	,	PUNCT
bitcs-7654	246	8	et	et	PROPN
bitcs-7654	246	9	al	al	PROPN
bitcs-7654	246	10	.	.	PROPN
bitcs-7654	246	11	(	(	PUNCT
bitcs-7654	246	12	2022	2022	NUM
bitcs-7654	246	13	)	)	PUNCT
bitcs-7654	246	14	.	.	PUNCT
bitcs-7654	247	1	"	"	PUNCT
bitcs-7654	247	2	risk	risk	NOUN
bitcs-7654	247	3	prediction	prediction	NOUN
bitcs-7654	247	4	of	of	ADP
bitcs-7654	247	5	cardiovascular	cardiovascular	ADJ
bitcs-7654	247	6	disease	disease	NOUN
bitcs-7654	247	7	using	use	VERB
bitcs-7654	247	8	machine	machine	NOUN
bitcs-7654	247	9	learning	learn	VERB
bitcs-7654	247	10	classifiers	classifier	NOUN
bitcs-7654	247	11	.	.	PUNCT
bitcs-7654	247	12	"	"	PUNCT
bitcs-7654	248	1	open	open	ADJ
bitcs-7654	248	2	medicine	medicine	NOUN
bitcs-7654	248	3	17(1	17(1	NUM
bitcs-7654	248	4	):	):	PUNCT
bitcs-7654	248	5	1100	1100	NUM
bitcs-7654	248	6	-	-	SYM
bitcs-7654	248	7	1113	1113	NUM
bitcs-7654	248	8	.	.	PUNCT
bitcs-7654	249	1	vol	vol	NOUN
bitcs-7654	249	2	.	.	PROPN
bitcs-7654	249	3	6	6	NUM
bitcs-7654	249	4	,	,	PUNCT
bitcs-7654	249	5	no.1	no.1	NUM
bitcs-7654	249	6	,	,	PUNCT
bitcs-7654	249	7	january	january	NOUN
bitcs-7654	249	8	2025	2025	NUM
bitcs-7654	250	1	|	|	ADV
bitcs-7654	250	2	55	55	NUM
bitcs-7654	250	3	[	[	X
bitcs-7654	250	4	21	21	NUM
bitcs-7654	250	5	]	]	X
bitcs-7654	250	6	ansarullah	ansarullah	PROPN
bitcs-7654	250	7	,	,	PUNCT
bitcs-7654	250	8	s.	s.	PROPN
bitcs-7654	250	9	i.	i.	PROPN
bitcs-7654	250	10	,	,	PUNCT
bitcs-7654	250	11	et	et	PROPN
bitcs-7654	250	12	al	al	PROPN
bitcs-7654	250	13	.	.	PROPN
bitcs-7654	250	14	(	(	PUNCT
bitcs-7654	250	15	2022	2022	NUM
bitcs-7654	250	16	)	)	PUNCT
bitcs-7654	250	17	.	.	PUNCT
bitcs-7654	251	1	"	"	PUNCT
bitcs-7654	251	2	significance	significance	NOUN
bitcs-7654	251	3	of	of	ADP
bitcs-7654	251	4	visible	visible	ADJ
bitcs-7654	251	5	non‐invasive	non‐invasive	ADJ
bitcs-7654	251	6	risk	risk	NOUN
bitcs-7654	251	7	attributes	attribute	VERB
bitcs-7654	251	8	for	for	ADP
bitcs-7654	251	9	the	the	DET
bitcs-7654	251	10	initial	initial	ADJ
bitcs-7654	251	11	prediction	prediction	NOUN
bitcs-7654	251	12	of	of	ADP
bitcs-7654	251	13	heart	heart	NOUN
bitcs-7654	251	14	disease	disease	NOUN
bitcs-7654	251	15	using	use	VERB
bitcs-7654	251	16	different	different	ADJ
bitcs-7654	251	17	machine	machine	NOUN
bitcs-7654	251	18	learning	learn	VERB
bitcs-7654	251	19	techniques	technique	NOUN
bitcs-7654	251	20	.	.	PUNCT
bitcs-7654	251	21	"	"	PUNCT
bitcs-7654	252	1	computational	computational	ADJ
bitcs-7654	252	2	intelligence	intelligence	NOUN
bitcs-7654	252	3	and	and	CCONJ
bitcs-7654	252	4	neuroscience	neuroscience	NOUN
bitcs-7654	252	5	2022(1	2022(1	NUM
bitcs-7654	252	6	):	):	PUNCT
bitcs-7654	252	7	9580896	9580896	NUM
bitcs-7654	252	8	.	.	PUNCT
bitcs-7654	253	1	[	[	X
bitcs-7654	253	2	22	22	NUM
bitcs-7654	253	3	]	]	PUNCT
bitcs-7654	253	4	hasanova	hasanova	PROPN
bitcs-7654	253	5	,	,	PUNCT
bitcs-7654	253	6	h.	h.	PROPN
bitcs-7654	253	7	,	,	PUNCT
bitcs-7654	253	8	et	et	PROPN
bitcs-7654	253	9	al	al	PROPN
bitcs-7654	253	10	.	.	PROPN
bitcs-7654	253	11	(	(	PUNCT
bitcs-7654	253	12	2022	2022	NUM
bitcs-7654	253	13	)	)	PUNCT
bitcs-7654	253	14	.	.	PUNCT
bitcs-7654	254	1	"	"	PUNCT
bitcs-7654	254	2	a	a	DET
bitcs-7654	254	3	novel	novel	NOUN
bitcs-7654	254	4	blockchain	blockchain	NOUN
bitcs-7654	254	5	-	-	PUNCT
bitcs-7654	254	6	enabled	enable	VERB
bitcs-7654	254	7	heart	heart	NOUN
bitcs-7654	254	8	disease	disease	NOUN
bitcs-7654	254	9	prediction	prediction	NOUN
bitcs-7654	254	10	mechanism	mechanism	NOUN
bitcs-7654	254	11	using	use	VERB
bitcs-7654	254	12	machine	machine	NOUN
bitcs-7654	254	13	learning	learning	NOUN
bitcs-7654	254	14	.	.	PUNCT
bitcs-7654	254	15	"	"	PUNCT
bitcs-7654	255	1	computers	computer	NOUN
bitcs-7654	255	2	and	and	CCONJ
bitcs-7654	255	3	electrical	electrical	ADJ
bitcs-7654	255	4	engineering	engineering	NOUN
bitcs-7654	255	5	101	101	NUM
bitcs-7654	255	6	:	:	PUNCT
bitcs-7654	255	7	108086	108086	NUM
bitcs-7654	255	8	.	.	PUNCT
bitcs-7654	256	1	[	[	X
bitcs-7654	256	2	23	23	NUM
bitcs-7654	256	3	]	]	X
bitcs-7654	256	4	el	el	NOUN
bitcs-7654	256	5	-	-	PUNCT
bitcs-7654	256	6	hasnony	hasnony	NOUN
bitcs-7654	256	7	,	,	PUNCT
bitcs-7654	256	8	i.	i.	NOUN
bitcs-7654	256	9	m.	m.	PROPN
bitcs-7654	256	10	,	,	PUNCT
bitcs-7654	256	11	et	et	PROPN
bitcs-7654	256	12	al	al	PROPN
bitcs-7654	256	13	.	.	PROPN
bitcs-7654	256	14	(	(	PUNCT
bitcs-7654	256	15	2022	2022	NUM
bitcs-7654	256	16	)	)	PUNCT
bitcs-7654	256	17	.	.	PUNCT
bitcs-7654	257	1	"	"	PUNCT
bitcs-7654	257	2	multi	multi	ADJ
bitcs-7654	257	3	-	-	ADJ
bitcs-7654	257	4	label	label	ADJ
bitcs-7654	257	5	active	active	ADJ
bitcs-7654	257	6	learning	learning	NOUN
bitcs-7654	257	7	-	-	PUNCT
bitcs-7654	257	8	based	base	VERB
bitcs-7654	257	9	machine	machine	NOUN
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bitcs-7654	257	11	model	model	NOUN
bitcs-7654	257	12	for	for	ADP
bitcs-7654	257	13	heart	heart	NOUN
bitcs-7654	257	14	disease	disease	NOUN
bitcs-7654	257	15	prediction	prediction	NOUN
bitcs-7654	257	16	.	.	PUNCT
bitcs-7654	257	17	"	"	PUNCT
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bitcs-7654	258	3	):	):	PUNCT
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bitcs-7654	259	3	]	]	PUNCT
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bitcs-7654	259	9	al	al	PROPN
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bitcs-7654	260	1	(	(	PUNCT
bitcs-7654	260	2	2022	2022	NUM
bitcs-7654	260	3	)	)	PUNCT
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bitcs-7654	261	6	learning	learning	NOUN
bitcs-7654	261	7	-	-	PUNCT
bitcs-7654	261	8	supported	support	VERB
bitcs-7654	261	9	smart	smart	ADJ
bitcs-7654	261	10	system	system	NOUN
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bitcs-7654	261	12	heart	heart	NOUN
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bitcs-7654	263	3	]	]	X
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bitcs-7654	263	11	(	(	PUNCT
bitcs-7654	263	12	2022	2022	NUM
bitcs-7654	263	13	)	)	PUNCT
bitcs-7654	263	14	.	.	PUNCT
bitcs-7654	264	1	"	"	PUNCT
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bitcs-7654	264	14	"	"	PUNCT
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bitcs-7654	265	4	):	):	PUNCT
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bitcs-7654	265	8	.	.	PUNCT
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bitcs-7654	266	3	]	]	X
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bitcs-7654	266	11	(	(	PUNCT
bitcs-7654	266	12	2023	2023	NUM
bitcs-7654	266	13	)	)	PUNCT
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bitcs-7654	267	8	machine	machine	NOUN
bitcs-7654	267	9	learning	learn	VERB
bitcs-7654	267	10	techniques	technique	NOUN
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bitcs-7654	267	14	.	.	PUNCT
bitcs-7654	267	15	"	"	PUNCT
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bitcs-7654	268	3	):	):	PUNCT
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bitcs-7654	268	5	.	.	PUNCT
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bitcs-7654	269	3	]	]	X
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bitcs-7654	269	13	2023	2023	NUM
bitcs-7654	269	14	)	)	PUNCT
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bitcs-7654	270	11	"	"	PUNCT
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bitcs-7654	271	3	):	):	PUNCT
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bitcs-7654	271	5	.	.	PUNCT
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bitcs-7654	272	11	(	(	PUNCT
bitcs-7654	272	12	2023	2023	NUM
bitcs-7654	272	13	)	)	PUNCT
bitcs-7654	272	14	.	.	PUNCT
bitcs-7654	273	1	"	"	PUNCT
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bitcs-7654	273	13	neural	neural	ADJ
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bitcs-7654	273	22	):	):	PUNCT
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bitcs-7654	273	24	-	-	SYM
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bitcs-7654	274	3	]	]	PUNCT
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bitcs-7654	274	5	,	,	PUNCT
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bitcs-7654	274	11	(	(	PUNCT
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bitcs-7654	275	1	"	"	PUNCT
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bitcs-7654	275	3	-	-	PUNCT
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bitcs-7654	275	6	model	model	NOUN
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bitcs-7654	275	10	of	of	ADP
bitcs-7654	275	11	heart	heart	NOUN
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bitcs-7654	275	14	iomt	iomt	ADJ
bitcs-7654	275	15	and	and	CCONJ
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bitcs-7654	275	17	intelligence	intelligence	NOUN
bitcs-7654	275	18	.	.	PUNCT
bitcs-7654	275	19	"	"	PUNCT
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bitcs-7654	276	2	22(2	22(2	NUM
bitcs-7654	276	3	):	):	PUNCT
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bitcs-7654	277	5	,	,	PUNCT
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bitcs-7654	277	7	k.	k.	PROPN
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bitcs-7654	277	9	s.	s.	PROPN
bitcs-7654	277	10	s.	s.	PROPN
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bitcs-7654	278	1	"	"	PUNCT
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bitcs-7654	278	3	sounds	sound	VERB
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bitcs-7654	278	6	classification	classification	NOUN
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bitcs-7654	278	9	diseases	disease	NOUN
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bitcs-7654	279	3	]	]	SYM
bitcs-7654	279	4	atallah	atallah	PROPN
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bitcs-7654	279	10	-	-	PUNCT
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bitcs-7654	279	12	(	(	PUNCT
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bitcs-7654	279	14	)	)	PUNCT
bitcs-7654	279	15	.	.	PUNCT
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bitcs-7654	280	2	disease	disease	NOUN
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bitcs-7654	281	2	2nd	2nd	ADJ
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bitcs-7654	281	4	conference	conference	NOUN
bitcs-7654	281	5	on	on	ADP
bitcs-7654	281	6	new	new	ADJ
bitcs-7654	281	7	trends	trend	NOUN
bitcs-7654	281	8	in	in	ADP
bitcs-7654	281	9	computing	compute	VERB
bitcs-7654	281	10	sciences	science	NOUN
bitcs-7654	281	11	(	(	PUNCT
bitcs-7654	281	12	ictcs	ictcs	PROPN
bitcs-7654	281	13	)	)	PUNCT
bitcs-7654	281	14	,	,	PUNCT
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bitcs-7654	282	1	[	[	X
bitcs-7654	282	2	32	32	NUM
bitcs-7654	282	3	]	]	PUNCT
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bitcs-7654	282	5	,	,	PUNCT
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bitcs-7654	282	11	(	(	PUNCT
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bitcs-7654	282	13	)	)	PUNCT
bitcs-7654	282	14	.	.	PUNCT
bitcs-7654	283	1	"	"	PUNCT
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bitcs-7654	283	14	"	"	PUNCT
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bitcs-7654	284	4	10(5	10(5	NOUN
bitcs-7654	284	5	):	):	PUNCT
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bitcs-7654	284	7	-	-	SYM
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bitcs-7654	284	9	.	.	PUNCT
bitcs-7654	285	1	[	[	X
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bitcs-7654	285	3	]	]	SYM
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bitcs-7654	285	8	(	(	PUNCT
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bitcs-7654	285	10	)	)	PUNCT
bitcs-7654	285	11	.	.	PUNCT
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bitcs-7654	286	14	.	.	PUNCT
bitcs-7654	287	1	2018	2018	NUM
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bitcs-7654	287	11	(	(	PUNCT
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bitcs-7654	287	13	)	)	PUNCT
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bitcs-7654	288	11	(	(	PUNCT
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bitcs-7654	289	9	.	.	PUNCT
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bitcs-7654	290	9	(	(	PUNCT
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bitcs-7654	292	1	(	(	PUNCT
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bitcs-7654	293	1	"	"	PUNCT
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bitcs-7654	295	14	.	.	PUNCT
bitcs-7654	296	1	"	"	PUNCT
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bitcs-7654	297	4	:	:	SYM
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bitcs-7654	298	10	.	.	PUNCT
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bitcs-7654	300	10	,	,	PUNCT
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bitcs-7654	301	7	,	,	PUNCT
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bitcs-7654	303	6	):	):	PUNCT
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