id	sid	tid	token	lemma	pos
aiti-13825	1	1	microsoft	microsoft	PROPN
aiti-13825	1	2	word	word	NOUN
aiti-13825	1	3	5	5	NUM
aiti-13825	1	4	-	-	PUNCT
aiti-13825	1	5	v10n1(2025)-aiti#13825(58	v10n1(2025)-aiti#13825(58	NUM
aiti-13825	1	6	-	-	PUNCT
aiti-13825	1	7	71).docx	71).docx	NUM
aiti-13825	1	8	advances	advance	NOUN
aiti-13825	1	9	in	in	ADP
aiti-13825	1	10	technology	technology	NOUN
aiti-13825	1	11	innovation	innovation	NOUN
aiti-13825	1	12	,	,	PUNCT
aiti-13825	1	13	vol	vol	NOUN
aiti-13825	1	14	.	.	PROPN
aiti-13825	1	15	10	10	NUM
aiti-13825	1	16	,	,	PUNCT
aiti-13825	1	17	no	no	INTJ
aiti-13825	1	18	.	.	NOUN
aiti-13825	1	19	1	1	NUM
aiti-13825	1	20	,	,	PUNCT
aiti-13825	1	21	2025	2025	NUM
aiti-13825	1	22	,	,	PUNCT
aiti-13825	1	23	pp	pp	ADJ
aiti-13825	1	24	.	.	PUNCT
aiti-13825	2	1	58	58	NUM
aiti-13825	2	2	-	-	SYM
aiti-13825	2	3	71	71	NUM
aiti-13825	2	4	english	english	ADJ
aiti-13825	2	5	language	language	NOUN
aiti-13825	2	6	proofreader	proofreader	NOUN
aiti-13825	2	7	:	:	PUNCT
aiti-13825	2	8	chih	chih	PROPN
aiti-13825	2	9	-	-	PUNCT
aiti-13825	2	10	wen	wen	PROPN
aiti-13825	2	11	teng	teng	PROPN
aiti-13825	2	12	recursive	recursive	ADJ
aiti-13825	2	13	feature	feature	NOUN
aiti-13825	2	14	elimination	elimination	NOUN
aiti-13825	2	15	and	and	CCONJ
aiti-13825	2	16	optimized	optimize	VERB
aiti-13825	2	17	hybrid	hybrid	NOUN
aiti-13825	2	18	ensemble	ensemble	ADJ
aiti-13825	2	19	approach	approach	NOUN
aiti-13825	2	20	for	for	ADP
aiti-13825	2	21	early	early	ADJ
aiti-13825	2	22	heart	heart	NOUN
aiti-13825	2	23	disease	disease	NOUN
aiti-13825	2	24	prediction	prediction	NOUN
aiti-13825	2	25	jitendra	jitendra	PROPN
aiti-13825	2	26	p	p	PROPN
aiti-13825	2	27	chaudhari1	chaudhari1	PROPN
aiti-13825	2	28	,	,	PUNCT
aiti-13825	2	29	kishan	kishan	PROPN
aiti-13825	2	30	p	p	PROPN
aiti-13825	2	31	patel2	patel2	PROPN
aiti-13825	2	32	,	,	PUNCT
aiti-13825	2	33	*	*	PUNCT
aiti-13825	2	34	,	,	PUNCT
aiti-13825	2	35	hiren	hiren	PROPN
aiti-13825	2	36	k	k	PROPN
aiti-13825	2	37	mewada3	mewada3	PROPN
aiti-13825	2	38	,	,	PUNCT
aiti-13825	2	39	hardikkumar	hardikkumar	PROPN
aiti-13825	2	40	sudhirbhai	sudhirbhai	PROPN
aiti-13825	2	41	jayswal4	jayswal4	PROPN
aiti-13825	2	42	,	,	PUNCT
aiti-13825	2	43	yogesh	yogesh	PROPN
aiti-13825	2	44	p	p	PROPN
aiti-13825	2	45	kosta5	kosta5	PROPN
aiti-13825	2	46	,	,	PUNCT
aiti-13825	2	47	kanchan	kanchan	PROPN
aiti-13825	2	48	s	s	PART
aiti-13825	2	49	bhagat6	bhagat6	PROPN
aiti-13825	2	50	,	,	PUNCT
aiti-13825	2	51	shubhangi	shubhangi	VERB
aiti-13825	2	52	d	d	X
aiti-13825	2	53	kirange7	kirange7	PROPN
aiti-13825	2	54	1charusat	1charusat	NUM
aiti-13825	2	55	space	space	NOUN
aiti-13825	2	56	research	research	NOUN
aiti-13825	2	57	and	and	CCONJ
aiti-13825	2	58	technology	technology	NOUN
aiti-13825	2	59	center	center	NOUN
aiti-13825	2	60	;	;	PUNCT
aiti-13825	2	61	department	department	NOUN
aiti-13825	2	62	of	of	ADP
aiti-13825	2	63	electronics	electronic	NOUN
aiti-13825	2	64	and	and	CCONJ
aiti-13825	2	65	communication	communication	NOUN
aiti-13825	2	66	engineering	engineering	NOUN
aiti-13825	2	67	;	;	PUNCT
aiti-13825	2	68	chandubhai	chandubhai	PROPN
aiti-13825	2	69	s	s	PROPN
aiti-13825	2	70	patel	patel	PROPN
aiti-13825	2	71	institute	institute	PROPN
aiti-13825	2	72	of	of	ADP
aiti-13825	2	73	technology	technology	PROPN
aiti-13825	2	74	;	;	PUNCT
aiti-13825	2	75	charotar	charotar	PROPN
aiti-13825	2	76	university	university	PROPN
aiti-13825	2	77	of	of	ADP
aiti-13825	2	78	science	science	NOUN
aiti-13825	2	79	and	and	CCONJ
aiti-13825	2	80	technology	technology	NOUN
aiti-13825	2	81	,	,	PUNCT
aiti-13825	2	82	changa	changa	PROPN
aiti-13825	2	83	,	,	PUNCT
aiti-13825	2	84	gujarat	gujarat	PROPN
aiti-13825	2	85	,	,	PUNCT
aiti-13825	2	86	india	india	PROPN
aiti-13825	2	87	2department	2department	NUM
aiti-13825	2	88	of	of	ADP
aiti-13825	2	89	electrical	electrical	ADJ
aiti-13825	2	90	engineering	engineering	NOUN
aiti-13825	2	91	;	;	PUNCT
aiti-13825	2	92	chandubhai	chandubhai	PROPN
aiti-13825	2	93	s	s	PROPN
aiti-13825	2	94	patel	patel	PROPN
aiti-13825	2	95	institute	institute	PROPN
aiti-13825	2	96	of	of	ADP
aiti-13825	2	97	technology	technology	PROPN
aiti-13825	2	98	,	,	PUNCT
aiti-13825	2	99	charotar	charotar	PROPN
aiti-13825	2	100	university	university	PROPN
aiti-13825	2	101	of	of	ADP
aiti-13825	2	102	science	science	NOUN
aiti-13825	2	103	and	and	CCONJ
aiti-13825	2	104	technology	technology	NOUN
aiti-13825	2	105	,	,	PUNCT
aiti-13825	2	106	changa	changa	PROPN
aiti-13825	2	107	,	,	PUNCT
aiti-13825	2	108	gujarat	gujarat	PROPN
aiti-13825	2	109	,	,	PUNCT
aiti-13825	2	110	india	india	PROPN
aiti-13825	2	111	3electrical	3electrical	PROPN
aiti-13825	2	112	engineering	engineering	PROPN
aiti-13825	2	113	department	department	NOUN
aiti-13825	2	114	,	,	PUNCT
aiti-13825	2	115	prince	prince	PROPN
aiti-13825	2	116	mohammad	mohammad	PROPN
aiti-13825	2	117	bin	bin	PROPN
aiti-13825	2	118	fahd	fahd	PROPN
aiti-13825	2	119	university	university	PROPN
aiti-13825	2	120	,	,	PUNCT
aiti-13825	2	121	al	al	PROPN
aiti-13825	2	122	khobar	khobar	PROPN
aiti-13825	2	123	,	,	PUNCT
aiti-13825	2	124	kingdom	kingdom	NOUN
aiti-13825	2	125	of	of	ADP
aiti-13825	2	126	saudi	saudi	PROPN
aiti-13825	2	127	arabia	arabia	PROPN
aiti-13825	2	128	4department	4department	NUM
aiti-13825	2	129	of	of	ADP
aiti-13825	2	130	information	information	NOUN
aiti-13825	2	131	technology	technology	NOUN
aiti-13825	2	132	,	,	PUNCT
aiti-13825	2	133	devang	devang	PROPN
aiti-13825	2	134	patel	patel	PROPN
aiti-13825	2	135	institute	institute	PROPN
aiti-13825	2	136	of	of	ADP
aiti-13825	2	137	advance	advance	PROPN
aiti-13825	2	138	technology	technology	NOUN
aiti-13825	2	139	and	and	CCONJ
aiti-13825	2	140	research	research	NOUN
aiti-13825	2	141	,	,	PUNCT
aiti-13825	2	142	gujarat	gujarat	PROPN
aiti-13825	2	143	,	,	PUNCT
aiti-13825	2	144	india	india	PROPN
aiti-13825	2	145	5provost	5provost	NUM
aiti-13825	2	146	,	,	PUNCT
aiti-13825	2	147	uka	uka	PROPN
aiti-13825	2	148	tarsadia	tarsadia	PROPN
aiti-13825	2	149	university	university	PROPN
aiti-13825	2	150	,	,	PUNCT
aiti-13825	2	151	gujarat	gujarat	PROPN
aiti-13825	2	152	,	,	PUNCT
aiti-13825	2	153	india	india	PROPN
aiti-13825	2	154	6dept	6dept	NUM
aiti-13825	2	155	of	of	ADP
aiti-13825	2	156	computer	computer	NOUN
aiti-13825	2	157	engineering	engineering	NOUN
aiti-13825	2	158	,	,	PUNCT
aiti-13825	2	159	j.	j.	PROPN
aiti-13825	2	160	t.	t.	PROPN
aiti-13825	2	161	mahajan	mahajan	PROPN
aiti-13825	2	162	college	college	PROPN
aiti-13825	2	163	of	of	ADP
aiti-13825	2	164	engineering	engineering	PROPN
aiti-13825	2	165	,	,	PUNCT
aiti-13825	2	166	jalgaon	jalgaon	PROPN
aiti-13825	2	167	,	,	PUNCT
aiti-13825	2	168	maharashtra	maharashtra	PROPN
aiti-13825	2	169	,	,	PUNCT
aiti-13825	2	170	india	india	PROPN
aiti-13825	2	171	7department	7department	NUM
aiti-13825	2	172	of	of	ADP
aiti-13825	2	173	information	information	NOUN
aiti-13825	2	174	technology	technology	NOUN
aiti-13825	2	175	,	,	PUNCT
aiti-13825	2	176	government	government	NOUN
aiti-13825	2	177	polytechnic	polytechnic	NOUN
aiti-13825	2	178	,	,	PUNCT
aiti-13825	2	179	jalgaon	jalgaon	PROPN
aiti-13825	2	180	,	,	PUNCT
aiti-13825	2	181	maharashtra	maharashtra	PROPN
aiti-13825	2	182	,	,	PUNCT
aiti-13825	2	183	india	india	PROPN
aiti-13825	2	184	received	receive	VERB
aiti-13825	2	185	07	07	NUM
aiti-13825	2	186	june	june	PROPN
aiti-13825	2	187	2024	2024	NUM
aiti-13825	2	188	;	;	PUNCT
aiti-13825	2	189	received	receive	VERB
aiti-13825	2	190	in	in	ADP
aiti-13825	2	191	revised	revise	VERB
aiti-13825	2	192	form	form	NOUN
aiti-13825	2	193	17	17	NUM
aiti-13825	2	194	october	october	PROPN
aiti-13825	2	195	2024	2024	NUM
aiti-13825	2	196	;	;	PUNCT
aiti-13825	2	197	accepted	accept	VERB
aiti-13825	2	198	28	28	NUM
aiti-13825	2	199	october	october	PROPN
aiti-13825	2	200	2024	2024	NUM
aiti-13825	2	201	doi	doi	NOUN
aiti-13825	2	202	:	:	PUNCT
aiti-13825	2	203	https://doi.org/10.46604/aiti.2024.13825	https://doi.org/10.46604/aiti.2024.13825	PROPN
aiti-13825	2	204	abstract	abstract	ADJ
aiti-13825	2	205	early	early	ADJ
aiti-13825	2	206	machine	machine	NOUN
aiti-13825	2	207	learning	learning	NOUN
aiti-13825	2	208	prediction	prediction	NOUN
aiti-13825	2	209	improves	improve	VERB
aiti-13825	2	210	patient	patient	ADJ
aiti-13825	2	211	health	health	NOUN
aiti-13825	2	212	and	and	CCONJ
aiti-13825	2	213	prevents	prevent	VERB
aiti-13825	2	214	heart	heart	NOUN
aiti-13825	2	215	disease	disease	NOUN
aiti-13825	2	216	,	,	PUNCT
aiti-13825	2	217	one	one	NUM
aiti-13825	2	218	of	of	ADP
aiti-13825	2	219	the	the	DET
aiti-13825	2	220	leading	lead	VERB
aiti-13825	2	221	causes	cause	NOUN
aiti-13825	2	222	of	of	ADP
aiti-13825	2	223	morbidity	morbidity	NOUN
aiti-13825	2	224	worldwide	worldwide	ADV
aiti-13825	2	225	.	.	PUNCT
aiti-13825	3	1	however	however	ADV
aiti-13825	3	2	,	,	PUNCT
aiti-13825	3	3	challenges	challenge	NOUN
aiti-13825	3	4	such	such	ADJ
aiti-13825	3	5	as	as	ADP
aiti-13825	3	6	noise	noise	NOUN
aiti-13825	3	7	and	and	CCONJ
aiti-13825	3	8	incomplete	incomplete	ADJ
aiti-13825	3	9	data	datum	NOUN
aiti-13825	3	10	often	often	ADV
aiti-13825	3	11	obscure	obscure	VERB
aiti-13825	3	12	patterns	pattern	NOUN
aiti-13825	3	13	critical	critical	ADJ
aiti-13825	3	14	for	for	ADP
aiti-13825	3	15	accurate	accurate	ADJ
aiti-13825	3	16	predictions	prediction	NOUN
aiti-13825	3	17	,	,	PUNCT
aiti-13825	3	18	and	and	CCONJ
aiti-13825	3	19	single	single	ADJ
aiti-13825	3	20	-	-	PUNCT
aiti-13825	3	21	classifier	classifier	NOUN
aiti-13825	3	22	models	model	NOUN
aiti-13825	3	23	may	may	AUX
aiti-13825	3	24	fail	fail	VERB
aiti-13825	3	25	to	to	PART
aiti-13825	3	26	capture	capture	VERB
aiti-13825	3	27	data	datum	NOUN
aiti-13825	3	28	complexity	complexity	NOUN
aiti-13825	3	29	.	.	PUNCT
aiti-13825	4	1	this	this	DET
aiti-13825	4	2	study	study	NOUN
aiti-13825	4	3	aims	aim	VERB
aiti-13825	4	4	to	to	PART
aiti-13825	4	5	develop	develop	VERB
aiti-13825	4	6	a	a	DET
aiti-13825	4	7	robust	robust	ADJ
aiti-13825	4	8	ensemble	ensemble	ADJ
aiti-13825	4	9	model	model	NOUN
aiti-13825	4	10	leveraging	leverage	VERB
aiti-13825	4	11	advanced	advanced	ADJ
aiti-13825	4	12	feature	feature	NOUN
aiti-13825	4	13	selection	selection	NOUN
aiti-13825	4	14	techniques	technique	NOUN
aiti-13825	4	15	to	to	PART
aiti-13825	4	16	enhance	enhance	VERB
aiti-13825	4	17	prediction	prediction	NOUN
aiti-13825	4	18	accuracy	accuracy	NOUN
aiti-13825	4	19	.	.	PUNCT
aiti-13825	5	1	various	various	ADJ
aiti-13825	5	2	machine	machine	NOUN
aiti-13825	5	3	-	-	PUNCT
aiti-13825	5	4	learning	learn	VERB
aiti-13825	5	5	algorithms	algorithm	NOUN
aiti-13825	5	6	are	be	AUX
aiti-13825	5	7	examined	examine	VERB
aiti-13825	5	8	.	.	PUNCT
aiti-13825	6	1	recursive	recursive	ADJ
aiti-13825	6	2	feature	feature	NOUN
aiti-13825	6	3	elimination	elimination	NOUN
aiti-13825	6	4	is	be	AUX
aiti-13825	6	5	applied	apply	VERB
aiti-13825	6	6	to	to	PART
aiti-13825	6	7	remove	remove	VERB
aiti-13825	6	8	irrelevant	irrelevant	ADJ
aiti-13825	6	9	features	feature	NOUN
aiti-13825	6	10	,	,	PUNCT
aiti-13825	6	11	improving	improve	VERB
aiti-13825	6	12	model	model	NOUN
aiti-13825	6	13	performance	performance	NOUN
aiti-13825	6	14	.	.	PUNCT
aiti-13825	7	1	the	the	DET
aiti-13825	7	2	hybrid	hybrid	ADJ
aiti-13825	7	3	ensemble	ensemble	ADJ
aiti-13825	7	4	method	method	NOUN
aiti-13825	7	5	achieves	achieve	VERB
aiti-13825	7	6	93.15	93.15	NUM
aiti-13825	7	7	%	%	NOUN
aiti-13825	7	8	accuracy	accuracy	NOUN
aiti-13825	7	9	,	,	PUNCT
aiti-13825	7	10	93.15	93.15	NUM
aiti-13825	7	11	%	%	NOUN
aiti-13825	7	12	precision	precision	NOUN
aiti-13825	7	13	,	,	PUNCT
aiti-13825	7	14	and	and	CCONJ
aiti-13825	7	15	92.97	92.97	NUM
aiti-13825	7	16	%	%	NOUN
aiti-13825	7	17	recall	recall	NOUN
aiti-13825	7	18	,	,	PUNCT
aiti-13825	7	19	outperforming	outperform	VERB
aiti-13825	7	20	principal	principal	ADJ
aiti-13825	7	21	component	component	NOUN
aiti-13825	7	22	analysis	analysis	NOUN
aiti-13825	7	23	and	and	CCONJ
aiti-13825	7	24	symmetrical	symmetrical	ADJ
aiti-13825	7	25	uncertainty	uncertainty	NOUN
aiti-13825	7	26	methods	method	NOUN
aiti-13825	7	27	.	.	PUNCT
aiti-13825	8	1	this	this	DET
aiti-13825	8	2	research	research	NOUN
aiti-13825	8	3	sets	set	VERB
aiti-13825	8	4	a	a	DET
aiti-13825	8	5	benchmark	benchmark	NOUN
aiti-13825	8	6	for	for	ADP
aiti-13825	8	7	future	future	ADJ
aiti-13825	8	8	studies	study	NOUN
aiti-13825	8	9	by	by	ADP
aiti-13825	8	10	leveraging	leverage	VERB
aiti-13825	8	11	hyperparameter	hyperparameter	NOUN
aiti-13825	8	12	tuning	tuning	NOUN
aiti-13825	8	13	and	and	CCONJ
aiti-13825	8	14	advanced	advanced	ADJ
aiti-13825	8	15	feature	feature	NOUN
aiti-13825	8	16	selection	selection	NOUN
aiti-13825	8	17	to	to	PART
aiti-13825	8	18	optimize	optimize	VERB
aiti-13825	8	19	feature	feature	NOUN
aiti-13825	8	20	reduction	reduction	NOUN
aiti-13825	8	21	and	and	CCONJ
aiti-13825	8	22	machine	machine	NOUN
aiti-13825	8	23	learning	learning	NOUN
aiti-13825	8	24	models	model	NOUN
aiti-13825	8	25	.	.	PUNCT
aiti-13825	9	1	keywords	keyword	NOUN
aiti-13825	9	2	:	:	PUNCT
aiti-13825	9	3	ensemble	ensemble	ADJ
aiti-13825	9	4	machine	machine	NOUN
aiti-13825	9	5	learning	learning	NOUN
aiti-13825	9	6	,	,	PUNCT
aiti-13825	9	7	heart	heart	NOUN
aiti-13825	9	8	disease	disease	NOUN
aiti-13825	9	9	,	,	PUNCT
aiti-13825	9	10	hyperparameter	hyperparameter	NOUN
aiti-13825	9	11	tuning	tuning	NOUN
aiti-13825	9	12	,	,	PUNCT
aiti-13825	9	13	recursive	recursive	ADJ
aiti-13825	9	14	feature	feature	NOUN
aiti-13825	9	15	elimination	elimination	NOUN
aiti-13825	9	16	1	1	NUM
aiti-13825	9	17	.	.	PUNCT
aiti-13825	10	1	introduction	introduction	NOUN
aiti-13825	10	2	the	the	PRON
aiti-13825	10	3	who	who	PRON
aiti-13825	10	4	identifies	identify	VERB
aiti-13825	10	5	heart	heart	NOUN
aiti-13825	10	6	disease	disease	NOUN
aiti-13825	10	7	as	as	ADP
aiti-13825	10	8	the	the	DET
aiti-13825	10	9	leading	lead	VERB
aiti-13825	10	10	cause	cause	NOUN
aiti-13825	10	11	of	of	ADP
aiti-13825	10	12	death	death	NOUN
aiti-13825	10	13	,	,	PUNCT
aiti-13825	10	14	affecting	affect	VERB
aiti-13825	10	15	17.9	17.9	NUM
aiti-13825	10	16	million	million	NUM
aiti-13825	10	17	people	people	NOUN
aiti-13825	10	18	annually	annually	ADV
aiti-13825	11	1	[	[	X
aiti-13825	11	2	1	1	NUM
aiti-13825	11	3	]	]	PUNCT
aiti-13825	11	4	.	.	PUNCT
aiti-13825	12	1	hypertension	hypertension	NOUN
aiti-13825	12	2	,	,	PUNCT
aiti-13825	12	3	high	high	ADJ
aiti-13825	12	4	cholesterol	cholesterol	NOUN
aiti-13825	12	5	,	,	PUNCT
aiti-13825	12	6	overweight	overweight	NOUN
aiti-13825	12	7	,	,	PUNCT
aiti-13825	12	8	obesity	obesity	NOUN
aiti-13825	12	9	,	,	PUNCT
aiti-13825	12	10	and	and	CCONJ
aiti-13825	12	11	hyperglycemia	hyperglycemia	NOUN
aiti-13825	12	12	are	be	AUX
aiti-13825	12	13	key	key	ADJ
aiti-13825	12	14	risk	risk	NOUN
aiti-13825	12	15	factors	factor	NOUN
aiti-13825	12	16	for	for	ADP
aiti-13825	12	17	heart	heart	NOUN
aiti-13825	12	18	disease	disease	NOUN
aiti-13825	12	19	.	.	PUNCT
aiti-13825	13	1	sleep	sleep	NOUN
aiti-13825	13	2	issues	issue	NOUN
aiti-13825	13	3	,	,	PUNCT
aiti-13825	13	4	leg	leg	NOUN
aiti-13825	13	5	swelling	swelling	NOUN
aiti-13825	13	6	,	,	PUNCT
aiti-13825	13	7	chronic	chronic	ADJ
aiti-13825	13	8	cough	cough	NOUN
aiti-13825	13	9	,	,	PUNCT
aiti-13825	13	10	and	and	CCONJ
aiti-13825	13	11	increased	increase	VERB
aiti-13825	13	12	heart	heart	NOUN
aiti-13825	13	13	rate	rate	NOUN
aiti-13825	13	14	are	be	AUX
aiti-13825	13	15	also	also	ADV
aiti-13825	13	16	factors	factor	NOUN
aiti-13825	13	17	,	,	PUNCT
aiti-13825	13	18	according	accord	VERB
aiti-13825	13	19	to	to	ADP
aiti-13825	13	20	the	the	DET
aiti-13825	13	21	american	american	ADJ
aiti-13825	13	22	heart	heart	PROPN
aiti-13825	13	23	association	association	PROPN
aiti-13825	13	24	[	[	X
aiti-13825	13	25	2	2	NUM
aiti-13825	13	26	]	]	PUNCT
aiti-13825	13	27	.	.	PUNCT
aiti-13825	14	1	the	the	DET
aiti-13825	14	2	overlap	overlap	NOUN
aiti-13825	14	3	of	of	ADP
aiti-13825	14	4	symptoms	symptom	NOUN
aiti-13825	14	5	with	with	ADP
aiti-13825	14	6	other	other	ADJ
aiti-13825	14	7	illnesses	illness	NOUN
aiti-13825	14	8	makes	make	VERB
aiti-13825	14	9	early	early	ADJ
aiti-13825	14	10	diagnosis	diagnosis	NOUN
aiti-13825	14	11	difficult	difficult	ADJ
aiti-13825	14	12	for	for	ADP
aiti-13825	14	13	doctors	doctor	NOUN
aiti-13825	14	14	.	.	PUNCT
aiti-13825	15	1	modern	modern	ADJ
aiti-13825	15	2	healthcare	healthcare	PROPN
aiti-13825	15	3	has	have	AUX
aiti-13825	15	4	shifted	shift	VERB
aiti-13825	15	5	toward	toward	ADP
aiti-13825	15	6	integrating	integrate	VERB
aiti-13825	15	7	iot	iot	NOUN
aiti-13825	15	8	and	and	CCONJ
aiti-13825	15	9	ai	ai	VERB
aiti-13825	15	10	devices	device	NOUN
aiti-13825	15	11	to	to	PART
aiti-13825	15	12	adapt	adapt	VERB
aiti-13825	15	13	to	to	ADP
aiti-13825	15	14	changing	change	VERB
aiti-13825	15	15	medical	medical	ADJ
aiti-13825	15	16	diagnostics	diagnostic	NOUN
aiti-13825	15	17	.	.	PUNCT
aiti-13825	16	1	this	this	DET
aiti-13825	16	2	trend	trend	NOUN
aiti-13825	16	3	improves	improve	VERB
aiti-13825	16	4	practitioners	practitioner	NOUN
aiti-13825	16	5	’	'	PUNCT
aiti-13825	16	6	heart	heart	NOUN
aiti-13825	16	7	disease	disease	NOUN
aiti-13825	16	8	diagnosis	diagnosis	NOUN
aiti-13825	16	9	decisions	decision	NOUN
aiti-13825	16	10	[	[	X
aiti-13825	16	11	3	3	NUM
aiti-13825	16	12	]	]	PUNCT
aiti-13825	16	13	.	.	PUNCT
aiti-13825	17	1	healthcare	healthcare	NOUN
aiti-13825	17	2	professionals	professional	NOUN
aiti-13825	17	3	prefer	prefer	VERB
aiti-13825	17	4	iot	iot	NOUN
aiti-13825	17	5	and	and	CCONJ
aiti-13825	17	6	ai	ai	VERB
aiti-13825	17	7	technologies	technology	NOUN
aiti-13825	17	8	for	for	ADP
aiti-13825	17	9	more	more	ADV
aiti-13825	17	10	accurate	accurate	ADJ
aiti-13825	17	11	and	and	CCONJ
aiti-13825	17	12	timely	timely	ADJ
aiti-13825	17	13	diagnoses	diagnosis	NOUN
aiti-13825	17	14	.	.	PUNCT
aiti-13825	18	1	healthcare	healthcare	PROPN
aiti-13825	18	2	relies	rely	VERB
aiti-13825	18	3	on	on	ADP
aiti-13825	18	4	machine	machine	NOUN
aiti-13825	18	5	learning	learning	NOUN
aiti-13825	18	6	(	(	PUNCT
aiti-13825	18	7	ml	ml	NOUN
aiti-13825	18	8	)	)	PUNCT
aiti-13825	18	9	to	to	PART
aiti-13825	18	10	make	make	VERB
aiti-13825	18	11	accurate	accurate	ADJ
aiti-13825	18	12	predictions	prediction	NOUN
aiti-13825	18	13	from	from	ADP
aiti-13825	18	14	large	large	ADJ
aiti-13825	18	15	datasets	dataset	NOUN
aiti-13825	18	16	.	.	PUNCT
aiti-13825	19	1	it	it	PRON
aiti-13825	19	2	helps	help	VERB
aiti-13825	19	3	simplify	simplify	VERB
aiti-13825	19	4	geometric	geometric	ADJ
aiti-13825	19	5	analyses	analysis	NOUN
aiti-13825	19	6	of	of	ADP
aiti-13825	19	7	extensive	extensive	ADJ
aiti-13825	19	8	medical	medical	ADJ
aiti-13825	19	9	records	record	NOUN
aiti-13825	19	10	[	[	X
aiti-13825	19	11	4	4	NUM
aiti-13825	19	12	-	-	SYM
aiti-13825	19	13	6	6	NUM
aiti-13825	19	14	]	]	PUNCT
aiti-13825	19	15	.	.	PUNCT
aiti-13825	20	1	integrating	integrate	VERB
aiti-13825	20	2	iot	iot	PROPN
aiti-13825	20	3	and	and	CCONJ
aiti-13825	20	4	ai	ai	PROPN
aiti-13825	20	5	technologies	technology	NOUN
aiti-13825	20	6	enables	enable	VERB
aiti-13825	20	7	early	early	ADJ
aiti-13825	20	8	heart	heart	NOUN
aiti-13825	20	9	disease	disease	NOUN
aiti-13825	20	10	detection	detection	NOUN
aiti-13825	20	11	,	,	PUNCT
aiti-13825	20	12	meeting	meet	VERB
aiti-13825	20	13	the	the	DET
aiti-13825	20	14	need	need	NOUN
aiti-13825	20	15	for	for	ADP
aiti-13825	20	16	accurate	accurate	ADJ
aiti-13825	20	17	diagnoses	diagnosis	NOUN
aiti-13825	20	18	in	in	ADP
aiti-13825	20	19	healthcare	healthcare	PROPN
aiti-13825	20	20	.	.	PUNCT
aiti-13825	21	1	this	this	DET
aiti-13825	21	2	research	research	NOUN
aiti-13825	21	3	focuses	focus	VERB
aiti-13825	21	4	on	on	ADP
aiti-13825	21	5	optimizing	optimize	VERB
aiti-13825	21	6	ml	ml	NOUN
aiti-13825	21	7	through	through	ADP
aiti-13825	21	8	feature	feature	NOUN
aiti-13825	21	9	extraction	extraction	NOUN
aiti-13825	21	10	and	and	CCONJ
aiti-13825	21	11	parameter	parameter	NOUN
aiti-13825	21	12	*	*	PUNCT
aiti-13825	21	13	corresponding	correspond	VERB
aiti-13825	21	14	author	author	NOUN
aiti-13825	21	15	.	.	PUNCT
aiti-13825	22	1	e	e	X
aiti-13825	22	2	-	-	NOUN
aiti-13825	22	3	mail	mail	NOUN
aiti-13825	22	4	address	address	NOUN
aiti-13825	22	5	:	:	PUNCT
aiti-13825	22	6	kishanpatel.ee@charusat.ac.in	kishanpatel.ee@charusat.ac.in	ADV
aiti-13825	22	7	advances	advance	NOUN
aiti-13825	22	8	in	in	ADP
aiti-13825	22	9	technology	technology	NOUN
aiti-13825	22	10	innovation	innovation	NOUN
aiti-13825	22	11	,	,	PUNCT
aiti-13825	22	12	vol	vol	NOUN
aiti-13825	22	13	.	.	PROPN
aiti-13825	23	1	10	10	NUM
aiti-13825	23	2	,	,	PUNCT
aiti-13825	23	3	no	no	INTJ
aiti-13825	23	4	.	.	NOUN
aiti-13825	23	5	1	1	NUM
aiti-13825	23	6	,	,	PUNCT
aiti-13825	23	7	2025	2025	NUM
aiti-13825	23	8	,	,	PUNCT
aiti-13825	23	9	pp	pp	ADJ
aiti-13825	23	10	.	.	PUNCT
aiti-13825	24	1	58	58	NUM
aiti-13825	24	2	-	-	SYM
aiti-13825	24	3	71	71	NUM
aiti-13825	24	4	59	59	NUM
aiti-13825	24	5	tuning	tuning	NOUN
aiti-13825	24	6	.	.	PUNCT
aiti-13825	25	1	grid	grid	NOUN
aiti-13825	25	2	search	search	NOUN
aiti-13825	25	3	identifies	identify	VERB
aiti-13825	25	4	optimal	optimal	ADJ
aiti-13825	25	5	ml	ml	NOUN
aiti-13825	25	6	features	feature	NOUN
aiti-13825	25	7	and	and	CCONJ
aiti-13825	25	8	hyperparameters	hyperparameter	NOUN
aiti-13825	25	9	to	to	PART
aiti-13825	25	10	enhance	enhance	VERB
aiti-13825	25	11	prediction	prediction	NOUN
aiti-13825	25	12	accuracy	accuracy	NOUN
aiti-13825	25	13	.	.	PUNCT
aiti-13825	26	1	an	an	DET
aiti-13825	26	2	ensemble	ensemble	ADJ
aiti-13825	26	3	technique	technique	NOUN
aiti-13825	26	4	further	far	ADV
aiti-13825	26	5	improves	improve	VERB
aiti-13825	26	6	performance	performance	NOUN
aiti-13825	26	7	by	by	ADP
aiti-13825	26	8	addressing	address	VERB
aiti-13825	26	9	model	model	NOUN
aiti-13825	26	10	biases	bias	NOUN
aiti-13825	26	11	.	.	PUNCT
aiti-13825	27	1	various	various	ADJ
aiti-13825	27	2	supervised	supervised	ADJ
aiti-13825	27	3	ml	ml	NOUN
aiti-13825	27	4	classifiers	classifier	NOUN
aiti-13825	27	5	are	be	AUX
aiti-13825	27	6	employed	employ	VERB
aiti-13825	27	7	for	for	ADP
aiti-13825	27	8	predicting	predict	VERB
aiti-13825	27	9	cardiac	cardiac	ADJ
aiti-13825	27	10	disease	disease	NOUN
aiti-13825	27	11	,	,	PUNCT
aiti-13825	27	12	utilizing	utilize	VERB
aiti-13825	27	13	datasets	dataset	NOUN
aiti-13825	27	14	from	from	ADP
aiti-13825	27	15	university	university	NOUN
aiti-13825	27	16	hospital	hospital	NOUN
aiti-13825	27	17	zurich	zurich	PROPN
aiti-13825	28	1	[	[	X
aiti-13825	28	2	7	7	NUM
aiti-13825	28	3	]	]	PUNCT
aiti-13825	28	4	,	,	PUNCT
aiti-13825	28	5	va	va	PROPN
aiti-13825	28	6	medical	medical	ADJ
aiti-13825	28	7	centre	centre	NOUN
aiti-13825	28	8	(	(	PUNCT
aiti-13825	28	9	long	long	ADJ
aiti-13825	28	10	beach	beach	PROPN
aiti-13825	28	11	,	,	PUNCT
aiti-13825	28	12	california	california	PROPN
aiti-13825	28	13	)	)	PUNCT
aiti-13825	28	14	,	,	PUNCT
aiti-13825	28	15	hungarian	hungarian	PROPN
aiti-13825	28	16	institute	institute	PROPN
aiti-13825	28	17	of	of	ADP
aiti-13825	28	18	cardiology	cardiology	NOUN
aiti-13825	28	19	(	(	PUNCT
aiti-13825	28	20	budapest	budapest	PROPN
aiti-13825	28	21	)	)	PUNCT
aiti-13825	28	22	,	,	PUNCT
aiti-13825	28	23	and	and	CCONJ
aiti-13825	28	24	cleveland	cleveland	PROPN
aiti-13825	28	25	clinical	clinical	PROPN
aiti-13825	28	26	foundation	foundation	PROPN
aiti-13825	28	27	.	.	PUNCT
aiti-13825	29	1	the	the	DET
aiti-13825	29	2	data	datum	NOUN
aiti-13825	29	3	from	from	ADP
aiti-13825	29	4	the	the	DET
aiti-13825	29	5	uci	uci	PROPN
aiti-13825	29	6	machine	machine	NOUN
aiti-13825	29	7	repository	repository	PROPN
aiti-13825	29	8	undergoes	undergo	VERB
aiti-13825	29	9	pre	pre	ADJ
aiti-13825	29	10	-	-	ADJ
aiti-13825	29	11	processing	processing	NOUN
aiti-13825	29	12	,	,	PUNCT
aiti-13825	29	13	including	include	VERB
aiti-13825	29	14	removing	remove	VERB
aiti-13825	29	15	missing	missing	ADJ
aiti-13825	29	16	values	value	NOUN
aiti-13825	29	17	and	and	CCONJ
aiti-13825	29	18	standard	standard	ADJ
aiti-13825	29	19	scaling	scaling	NOUN
aiti-13825	29	20	.	.	PUNCT
aiti-13825	30	1	recursive	recursive	ADJ
aiti-13825	30	2	feature	feature	NOUN
aiti-13825	30	3	elimination	elimination	NOUN
aiti-13825	30	4	(	(	PUNCT
aiti-13825	30	5	rfe	rfe	PROPN
aiti-13825	30	6	)	)	PUNCT
aiti-13825	30	7	is	be	AUX
aiti-13825	30	8	applied	apply	VERB
aiti-13825	30	9	to	to	PART
aiti-13825	30	10	select	select	VERB
aiti-13825	30	11	the	the	DET
aiti-13825	30	12	six	six	NUM
aiti-13825	30	13	most	most	ADV
aiti-13825	30	14	crucial	crucial	ADJ
aiti-13825	30	15	features	feature	NOUN
aiti-13825	30	16	,	,	PUNCT
aiti-13825	30	17	and	and	CCONJ
aiti-13825	30	18	diverse	diverse	ADJ
aiti-13825	30	19	mls	mls	NOUN
aiti-13825	30	20	are	be	AUX
aiti-13825	30	21	trained	train	VERB
aiti-13825	30	22	for	for	ADP
aiti-13825	30	23	classification	classification	NOUN
aiti-13825	30	24	.	.	PUNCT
aiti-13825	31	1	the	the	DET
aiti-13825	31	2	study	study	NOUN
aiti-13825	31	3	progresses	progress	VERB
aiti-13825	31	4	through	through	ADP
aiti-13825	31	5	three	three	NUM
aiti-13825	31	6	stages	stage	NOUN
aiti-13825	31	7	:	:	PUNCT
aiti-13825	31	8	traditional	traditional	ADJ
aiti-13825	31	9	heart	heart	NOUN
aiti-13825	31	10	disease	disease	NOUN
aiti-13825	31	11	prediction	prediction	NOUN
aiti-13825	31	12	,	,	PUNCT
aiti-13825	31	13	feature	feature	NOUN
aiti-13825	31	14	elimination	elimination	NOUN
aiti-13825	31	15	using	use	VERB
aiti-13825	31	16	rfe	rfe	NOUN
aiti-13825	31	17	,	,	PUNCT
aiti-13825	31	18	and	and	CCONJ
aiti-13825	31	19	hyperparameter	hyperparameter	NOUN
aiti-13825	31	20	tuning	tune	VERB
aiti-13825	31	21	via	via	ADP
aiti-13825	31	22	grid	grid	NOUN
aiti-13825	31	23	search	search	NOUN
aiti-13825	31	24	.	.	PUNCT
aiti-13825	32	1	key	key	ADJ
aiti-13825	32	2	contributions	contribution	NOUN
aiti-13825	32	3	include	include	VERB
aiti-13825	32	4	:	:	PUNCT
aiti-13825	32	5	(	(	PUNCT
aiti-13825	32	6	1	1	X
aiti-13825	32	7	)	)	PUNCT
aiti-13825	32	8	developing	develop	VERB
aiti-13825	32	9	an	an	DET
aiti-13825	32	10	ensemble	ensemble	ADJ
aiti-13825	32	11	model	model	NOUN
aiti-13825	32	12	using	use	VERB
aiti-13825	32	13	popular	popular	ADJ
aiti-13825	32	14	ml	ml	NOUN
aiti-13825	32	15	algorithms	algorithm	NOUN
aiti-13825	32	16	.	.	PUNCT
aiti-13825	33	1	(	(	PUNCT
aiti-13825	33	2	2	2	X
aiti-13825	33	3	)	)	PUNCT
aiti-13825	33	4	using	use	VERB
aiti-13825	33	5	rfe	rfe	NOUN
aiti-13825	33	6	to	to	PART
aiti-13825	33	7	identify	identify	VERB
aiti-13825	33	8	the	the	DET
aiti-13825	33	9	six	six	NUM
aiti-13825	33	10	most	most	ADV
aiti-13825	33	11	relevant	relevant	ADJ
aiti-13825	33	12	features	feature	NOUN
aiti-13825	33	13	,	,	PUNCT
aiti-13825	33	14	improves	improve	VERB
aiti-13825	33	15	the	the	DET
aiti-13825	33	16	model	model	NOUN
aiti-13825	33	17	’s	’s	PART
aiti-13825	33	18	performance	performance	NOUN
aiti-13825	33	19	.	.	PUNCT
aiti-13825	34	1	(	(	PUNCT
aiti-13825	34	2	3	3	X
aiti-13825	34	3	)	)	PUNCT
aiti-13825	34	4	optimizing	optimize	VERB
aiti-13825	34	5	hyperparameters	hyperparameter	NOUN
aiti-13825	34	6	to	to	PART
aiti-13825	34	7	balance	balance	NOUN
aiti-13825	34	8	model	model	NOUN
aiti-13825	34	9	complexity	complexity	NOUN
aiti-13825	34	10	and	and	CCONJ
aiti-13825	34	11	avoid	avoid	VERB
aiti-13825	34	12	overfitting	overfitte	VERB
aiti-13825	34	13	.	.	PUNCT
aiti-13825	35	1	(	(	PUNCT
aiti-13825	35	2	4	4	X
aiti-13825	35	3	)	)	PUNCT
aiti-13825	35	4	evaluating	evaluate	VERB
aiti-13825	35	5	model	model	NOUN
aiti-13825	35	6	performance	performance	NOUN
aiti-13825	35	7	based	base	VERB
aiti-13825	35	8	on	on	ADP
aiti-13825	35	9	recall	recall	NOUN
aiti-13825	35	10	,	,	PUNCT
aiti-13825	35	11	precision	precision	NOUN
aiti-13825	35	12	,	,	PUNCT
aiti-13825	35	13	accuracy	accuracy	NOUN
aiti-13825	35	14	,	,	PUNCT
aiti-13825	35	15	and	and	CCONJ
aiti-13825	35	16	f	f	X
aiti-13825	35	17	-	-	PUNCT
aiti-13825	35	18	measure	measure	NOUN
aiti-13825	35	19	.	.	PUNCT
aiti-13825	36	1	2	2	X
aiti-13825	36	2	.	.	X
aiti-13825	36	3	related	relate	VERB
aiti-13825	36	4	work	work	NOUN
aiti-13825	36	5	ml	ml	NOUN
aiti-13825	36	6	for	for	ADP
aiti-13825	36	7	heart	heart	NOUN
aiti-13825	36	8	disease	disease	NOUN
aiti-13825	36	9	prediction	prediction	NOUN
aiti-13825	36	10	has	have	AUX
aiti-13825	36	11	been	be	AUX
aiti-13825	36	12	extensively	extensively	ADV
aiti-13825	36	13	researched	research	VERB
aiti-13825	36	14	to	to	PART
aiti-13825	36	15	identify	identify	VERB
aiti-13825	36	16	early	early	ADJ
aiti-13825	36	17	indicators	indicator	NOUN
aiti-13825	36	18	.	.	PUNCT
aiti-13825	37	1	this	this	DET
aiti-13825	37	2	effort	effort	NOUN
aiti-13825	37	3	is	be	AUX
aiti-13825	37	4	crucial	crucial	ADJ
aiti-13825	37	5	as	as	SCONJ
aiti-13825	37	6	many	many	ADJ
aiti-13825	37	7	heart	heart	NOUN
aiti-13825	37	8	disease	disease	NOUN
aiti-13825	37	9	risk	risk	NOUN
aiti-13825	37	10	factors	factor	NOUN
aiti-13825	37	11	overlap	overlap	VERB
aiti-13825	37	12	with	with	ADP
aiti-13825	37	13	diabetes	diabetes	NOUN
aiti-13825	37	14	,	,	PUNCT
aiti-13825	37	15	highlighting	highlight	VERB
aiti-13825	37	16	the	the	DET
aiti-13825	37	17	importance	importance	NOUN
aiti-13825	37	18	of	of	ADP
aiti-13825	37	19	early	early	ADJ
aiti-13825	37	20	and	and	CCONJ
aiti-13825	37	21	accurate	accurate	ADJ
aiti-13825	37	22	detection	detection	NOUN
aiti-13825	37	23	in	in	ADP
aiti-13825	37	24	saving	save	VERB
aiti-13825	37	25	lives	life	NOUN
aiti-13825	37	26	.	.	PUNCT
aiti-13825	38	1	shah	shah	PROPN
aiti-13825	38	2	et	et	PROPN
aiti-13825	38	3	al	al	PROPN
aiti-13825	38	4	.	.	PUNCT
aiti-13825	39	1	[	[	X
aiti-13825	39	2	8	8	NUM
aiti-13825	39	3	]	]	PUNCT
aiti-13825	39	4	tested	test	VERB
aiti-13825	39	5	ml	ml	ADP
aiti-13825	39	6	algorithms	algorithm	NOUN
aiti-13825	39	7	like	like	ADP
aiti-13825	39	8	random	random	ADJ
aiti-13825	39	9	forest	forest	NOUN
aiti-13825	39	10	(	(	PUNCT
aiti-13825	39	11	rf	rf	NOUN
aiti-13825	39	12	)	)	PUNCT
aiti-13825	39	13	,	,	PUNCT
aiti-13825	39	14	k	k	X
aiti-13825	39	15	-	-	PUNCT
aiti-13825	39	16	nearest	near	ADJ
aiti-13825	39	17	neighbors	neighbor	NOUN
aiti-13825	39	18	(	(	PUNCT
aiti-13825	39	19	knn	knn	PROPN
aiti-13825	39	20	)	)	PUNCT
aiti-13825	39	21	,	,	PUNCT
aiti-13825	39	22	decision	decision	NOUN
aiti-13825	39	23	tree	tree	NOUN
aiti-13825	39	24	(	(	PUNCT
aiti-13825	39	25	dt	dt	NOUN
aiti-13825	39	26	)	)	PUNCT
aiti-13825	39	27	,	,	PUNCT
aiti-13825	39	28	and	and	CCONJ
aiti-13825	39	29	naïve	naïve	ADJ
aiti-13825	39	30	bayes	bayes	NOUN
aiti-13825	39	31	(	(	PUNCT
aiti-13825	39	32	nb	nb	PROPN
aiti-13825	39	33	)	)	PUNCT
aiti-13825	39	34	.	.	PUNCT
aiti-13825	40	1	their	their	PRON
aiti-13825	40	2	study	study	NOUN
aiti-13825	40	3	used	use	VERB
aiti-13825	40	4	303	303	NUM
aiti-13825	40	5	instances	instance	NOUN
aiti-13825	40	6	and	and	CCONJ
aiti-13825	40	7	76	76	NUM
aiti-13825	40	8	attributes	attribute	NOUN
aiti-13825	40	9	from	from	ADP
aiti-13825	40	10	the	the	DET
aiti-13825	40	11	uci	uci	PROPN
aiti-13825	40	12	machine	machine	NOUN
aiti-13825	40	13	repository	repository	NOUN
aiti-13825	40	14	,	,	PUNCT
aiti-13825	40	15	but	but	CCONJ
aiti-13825	40	16	only	only	ADV
aiti-13825	40	17	14	14	NUM
aiti-13825	40	18	were	be	AUX
aiti-13825	40	19	used	use	VERB
aiti-13825	40	20	for	for	ADP
aiti-13825	40	21	their	their	PRON
aiti-13825	40	22	models	model	NOUN
aiti-13825	40	23	.	.	PUNCT
aiti-13825	41	1	their	their	PRON
aiti-13825	41	2	knn	knn	PROPN
aiti-13825	41	3	achieved	achieve	VERB
aiti-13825	41	4	90	90	NUM
aiti-13825	41	5	%	%	NOUN
aiti-13825	41	6	training	training	NOUN
aiti-13825	41	7	accuracy	accuracy	NOUN
aiti-13825	41	8	,	,	PUNCT
aiti-13825	41	9	but	but	CCONJ
aiti-13825	41	10	testing	testing	NOUN
aiti-13825	41	11	accuracy	accuracy	NOUN
aiti-13825	41	12	was	be	AUX
aiti-13825	41	13	only	only	ADV
aiti-13825	41	14	78.95	78.95	NUM
aiti-13825	41	15	%	%	NOUN
aiti-13825	41	16	,	,	PUNCT
aiti-13825	41	17	suggesting	suggest	VERB
aiti-13825	41	18	overfitting	overfitte	VERB
aiti-13825	41	19	.	.	PUNCT
aiti-13825	42	1	the	the	DET
aiti-13825	42	2	heart	heart	NOUN
aiti-13825	42	3	disease	disease	NOUN
aiti-13825	42	4	prediction	prediction	NOUN
aiti-13825	42	5	system	system	NOUN
aiti-13825	42	6	combines	combine	VERB
aiti-13825	42	7	all	all	DET
aiti-13825	42	8	classification	classification	NOUN
aiti-13825	42	9	methods	method	NOUN
aiti-13825	42	10	into	into	ADP
aiti-13825	42	11	one	one	NUM
aiti-13825	42	12	algorithm	algorithm	NOUN
aiti-13825	42	13	[	[	X
aiti-13825	42	14	9	9	NUM
aiti-13825	42	15	]	]	PUNCT
aiti-13825	42	16	.	.	PUNCT
aiti-13825	43	1	the	the	DET
aiti-13825	43	2	results	result	NOUN
aiti-13825	43	3	indicate	indicate	VERB
aiti-13825	43	4	that	that	SCONJ
aiti-13825	43	5	the	the	DET
aiti-13825	43	6	combined	combined	ADJ
aiti-13825	43	7	model	model	NOUN
aiti-13825	43	8	outperforms	outperform	VERB
aiti-13825	43	9	individual	individual	ADJ
aiti-13825	43	10	methods	method	NOUN
aiti-13825	43	11	.	.	PUNCT
aiti-13825	44	1	the	the	DET
aiti-13825	44	2	lack	lack	NOUN
aiti-13825	44	3	of	of	ADP
aiti-13825	44	4	detailed	detailed	ADJ
aiti-13825	44	5	performance	performance	NOUN
aiti-13825	44	6	analysis	analysis	NOUN
aiti-13825	44	7	makes	make	VERB
aiti-13825	44	8	it	it	PRON
aiti-13825	44	9	difficult	difficult	ADJ
aiti-13825	44	10	to	to	PART
aiti-13825	44	11	assess	assess	VERB
aiti-13825	44	12	the	the	DET
aiti-13825	44	13	actual	actual	ADJ
aiti-13825	44	14	effectiveness	effectiveness	NOUN
aiti-13825	44	15	of	of	ADP
aiti-13825	44	16	this	this	DET
aiti-13825	44	17	hybrid	hybrid	ADJ
aiti-13825	44	18	approach	approach	NOUN
aiti-13825	44	19	.	.	PUNCT
aiti-13825	45	1	ramotra	ramotra	ADJ
aiti-13825	45	2	and	and	CCONJ
aiti-13825	45	3	mansotra	mansotra	ADJ
aiti-13825	46	1	[	[	X
aiti-13825	46	2	10	10	NUM
aiti-13825	46	3	]	]	PUNCT
aiti-13825	46	4	presented	present	VERB
aiti-13825	46	5	an	an	DET
aiti-13825	46	6	integrated	integrate	VERB
aiti-13825	46	7	system	system	NOUN
aiti-13825	46	8	utilizing	utilize	VERB
aiti-13825	46	9	a	a	DET
aiti-13825	46	10	graph	graph	NOUN
aiti-13825	46	11	-	-	PUNCT
aiti-13825	46	12	based	base	VERB
aiti-13825	46	13	technique	technique	NOUN
aiti-13825	46	14	and	and	CCONJ
aiti-13825	46	15	weighted	weight	VERB
aiti-13825	46	16	association	association	NOUN
aiti-13825	46	17	rule	rule	NOUN
aiti-13825	46	18	mining	mining	NOUN
aiti-13825	46	19	applied	apply	VERB
aiti-13825	46	20	to	to	ADP
aiti-13825	46	21	the	the	DET
aiti-13825	46	22	andhra	andhra	PROPN
aiti-13825	46	23	pradesh	pradesh	PROPN
aiti-13825	46	24	population	population	PROPN
aiti-13825	46	25	.	.	PUNCT
aiti-13825	47	1	unfortunately	unfortunately	ADV
aiti-13825	47	2	,	,	PUNCT
aiti-13825	47	3	the	the	DET
aiti-13825	47	4	study	study	NOUN
aiti-13825	47	5	does	do	AUX
aiti-13825	47	6	not	not	PART
aiti-13825	47	7	specify	specify	VERB
aiti-13825	47	8	prediction	prediction	NOUN
aiti-13825	47	9	accuracy	accuracy	NOUN
aiti-13825	47	10	levels	level	NOUN
aiti-13825	47	11	.	.	PUNCT
aiti-13825	48	1	singh	singh	PROPN
aiti-13825	48	2	and	and	CCONJ
aiti-13825	48	3	shrivastava	shrivastava	PROPN
aiti-13825	49	1	[	[	X
aiti-13825	49	2	11	11	NUM
aiti-13825	49	3	]	]	PUNCT
aiti-13825	49	4	conducted	conduct	VERB
aiti-13825	49	5	a	a	DET
aiti-13825	49	6	comprehensive	comprehensive	ADJ
aiti-13825	49	7	analysis	analysis	NOUN
aiti-13825	49	8	of	of	ADP
aiti-13825	49	9	different	different	ADJ
aiti-13825	49	10	heart	heart	NOUN
aiti-13825	49	11	disease	disease	NOUN
aiti-13825	49	12	prediction	prediction	NOUN
aiti-13825	49	13	techniques	technique	NOUN
aiti-13825	49	14	,	,	PUNCT
aiti-13825	49	15	emphasizing	emphasize	VERB
aiti-13825	49	16	the	the	DET
aiti-13825	49	17	efficiency	efficiency	NOUN
aiti-13825	49	18	of	of	ADP
aiti-13825	49	19	ml	ml	NOUN
aiti-13825	49	20	in	in	ADP
aiti-13825	49	21	prediction	prediction	NOUN
aiti-13825	49	22	analysis	analysis	NOUN
aiti-13825	49	23	.	.	PUNCT
aiti-13825	50	1	the	the	DET
aiti-13825	50	2	absence	absence	NOUN
aiti-13825	50	3	of	of	ADP
aiti-13825	50	4	comparisons	comparison	NOUN
aiti-13825	50	5	using	use	VERB
aiti-13825	50	6	appropriate	appropriate	ADJ
aiti-13825	50	7	datasets	dataset	NOUN
aiti-13825	50	8	limits	limit	VERB
aiti-13825	50	9	the	the	DET
aiti-13825	50	10	generalizability	generalizability	NOUN
aiti-13825	50	11	of	of	ADP
aiti-13825	50	12	their	their	PRON
aiti-13825	50	13	findings	finding	NOUN
aiti-13825	50	14	.	.	PUNCT
aiti-13825	51	1	ali	ali	PROPN
aiti-13825	51	2	et	et	PROPN
aiti-13825	51	3	al	al	PROPN
aiti-13825	51	4	.	.	PUNCT
aiti-13825	52	1	[	[	X
aiti-13825	52	2	12	12	NUM
aiti-13825	52	3	]	]	PUNCT
aiti-13825	52	4	used	use	VERB
aiti-13825	52	5	kaggle	kaggle	NOUN
aiti-13825	52	6	datasets	dataset	NOUN
aiti-13825	52	7	to	to	PART
aiti-13825	52	8	test	test	VERB
aiti-13825	52	9	various	various	ADJ
aiti-13825	52	10	ml	ml	NOUN
aiti-13825	52	11	algorithms	algorithm	NOUN
aiti-13825	52	12	,	,	PUNCT
aiti-13825	52	13	with	with	ADP
aiti-13825	52	14	multi	multi	ADJ
aiti-13825	52	15	-	-	ADJ
aiti-13825	52	16	layer	layer	ADJ
aiti-13825	52	17	perceptron	perceptron	NOUN
aiti-13825	52	18	(	(	PUNCT
aiti-13825	52	19	mlp	mlp	PROPN
aiti-13825	52	20	)	)	PUNCT
aiti-13825	52	21	and	and	CCONJ
aiti-13825	52	22	knn	knn	PROPN
aiti-13825	52	23	achieving	achieve	VERB
aiti-13825	52	24	the	the	DET
aiti-13825	52	25	highest	high	ADJ
aiti-13825	52	26	accuracy	accuracy	NOUN
aiti-13825	52	27	of	of	ADP
aiti-13825	52	28	91	91	NUM
aiti-13825	52	29	%	%	NOUN
aiti-13825	52	30	and	and	CCONJ
aiti-13825	52	31	100	100	NUM
aiti-13825	52	32	%	%	NOUN
aiti-13825	52	33	.	.	PUNCT
aiti-13825	53	1	nonetheless	nonetheless	ADV
aiti-13825	53	2	,	,	PUNCT
aiti-13825	53	3	further	further	ADJ
aiti-13825	53	4	analysis	analysis	NOUN
aiti-13825	53	5	is	be	AUX
aiti-13825	53	6	required	require	VERB
aiti-13825	53	7	to	to	PART
aiti-13825	53	8	justify	justify	VERB
aiti-13825	53	9	the	the	DET
aiti-13825	53	10	success	success	NOUN
aiti-13825	53	11	of	of	ADP
aiti-13825	53	12	knn	knn	PROPN
aiti-13825	53	13	over	over	ADP
aiti-13825	53	14	mlp	mlp	PROPN
aiti-13825	54	1	.	.	PUNCT
aiti-13825	54	2	salhi	salhi	PROPN
aiti-13825	54	3	et	et	PROPN
aiti-13825	54	4	al	al	PROPN
aiti-13825	54	5	.	.	PUNCT
aiti-13825	55	1	[	[	X
aiti-13825	55	2	13	13	NUM
aiti-13825	55	3	]	]	PUNCT
aiti-13825	55	4	focused	focus	VERB
aiti-13825	55	5	on	on	ADP
aiti-13825	55	6	data	datum	NOUN
aiti-13825	55	7	analysis	analysis	NOUN
aiti-13825	55	8	of	of	ADP
aiti-13825	55	9	heart	heart	NOUN
aiti-13825	55	10	disease	disease	NOUN
aiti-13825	55	11	,	,	PUNCT
aiti-13825	55	12	employing	employ	VERB
aiti-13825	55	13	correlation	correlation	NOUN
aiti-13825	55	14	matrix	matrix	NOUN
aiti-13825	55	15	-	-	PUNCT
aiti-13825	55	16	based	base	VERB
aiti-13825	55	17	feature	feature	NOUN
aiti-13825	55	18	selection	selection	NOUN
aiti-13825	55	19	and	and	CCONJ
aiti-13825	55	20	achieving	achieve	VERB
aiti-13825	55	21	93	93	NUM
aiti-13825	55	22	%	%	NOUN
aiti-13825	55	23	accuracy	accuracy	NOUN
aiti-13825	55	24	with	with	ADP
aiti-13825	55	25	neural	neural	ADJ
aiti-13825	55	26	networks	network	NOUN
aiti-13825	55	27	(	(	PUNCT
aiti-13825	55	28	nn	nn	NOUN
aiti-13825	55	29	)	)	PUNCT
aiti-13825	55	30	.	.	PUNCT
aiti-13825	56	1	the	the	DET
aiti-13825	56	2	authors	author	NOUN
aiti-13825	56	3	did	do	AUX
aiti-13825	56	4	not	not	PART
aiti-13825	56	5	emphasize	emphasize	VERB
aiti-13825	56	6	the	the	DET
aiti-13825	56	7	importance	importance	NOUN
aiti-13825	56	8	of	of	ADP
aiti-13825	56	9	features	feature	NOUN
aiti-13825	56	10	in	in	ADP
aiti-13825	56	11	their	their	PRON
aiti-13825	56	12	approach	approach	NOUN
aiti-13825	56	13	.	.	PUNCT
aiti-13825	57	1	the	the	DET
aiti-13825	57	2	multi	multi	ADJ
aiti-13825	57	3	-	-	ADJ
aiti-13825	57	4	layer	layer	ADJ
aiti-13825	57	5	pi	pi	PROPN
aiti-13825	57	6	-	-	PUNCT
aiti-13825	57	7	sigma	sigma	PROPN
aiti-13825	57	8	neuron	neuron	PROPN
aiti-13825	57	9	model	model	PROPN
aiti-13825	57	10	(	(	PUNCT
aiti-13825	57	11	mlpsnm	mlpsnm	PROPN
aiti-13825	57	12	)	)	PUNCT
aiti-13825	58	1	[	[	X
aiti-13825	58	2	14	14	NUM
aiti-13825	58	3	]	]	PUNCT
aiti-13825	58	4	used	use	VERB
aiti-13825	58	5	principal	principal	ADJ
aiti-13825	58	6	component	component	NOUN
aiti-13825	58	7	analysis	analysis	NOUN
aiti-13825	58	8	(	(	PUNCT
aiti-13825	58	9	pca	pca	NOUN
aiti-13825	58	10	)	)	PUNCT
aiti-13825	58	11	,	,	PUNCT
aiti-13825	58	12	linear	linear	VERB
aiti-13825	58	13	discriminant	discriminant	ADJ
aiti-13825	58	14	analysis	analysis	NOUN
aiti-13825	58	15	(	(	PUNCT
aiti-13825	58	16	lda	lda	PROPN
aiti-13825	58	17	)	)	PUNCT
aiti-13825	58	18	,	,	PUNCT
aiti-13825	58	19	and	and	CCONJ
aiti-13825	58	20	normalization	normalization	NOUN
aiti-13825	58	21	for	for	ADP
aiti-13825	58	22	feature	feature	NOUN
aiti-13825	58	23	reduction	reduction	NOUN
aiti-13825	58	24	and	and	CCONJ
aiti-13825	58	25	a	a	DET
aiti-13825	58	26	standard	standard	ADJ
aiti-13825	58	27	backpropagation	backpropagation	NOUN
aiti-13825	58	28	(	(	PUNCT
aiti-13825	58	29	bp	bp	PROPN
aiti-13825	58	30	)	)	PUNCT
aiti-13825	58	31	algorithm	algorithm	NOUN
aiti-13825	58	32	for	for	ADP
aiti-13825	58	33	classification	classification	NOUN
aiti-13825	58	34	.	.	PUNCT
aiti-13825	59	1	pca	pca	PROPN
aiti-13825	59	2	is	be	AUX
aiti-13825	59	3	versatile	versatile	ADJ
aiti-13825	59	4	but	but	CCONJ
aiti-13825	59	5	can	can	AUX
aiti-13825	59	6	not	not	PART
aiti-13825	59	7	capture	capture	VERB
aiti-13825	59	8	meaningful	meaningful	ADJ
aiti-13825	59	9	attributes	attribute	NOUN
aiti-13825	59	10	in	in	ADP
aiti-13825	59	11	non	non	ADJ
aiti-13825	59	12	-	-	ADJ
aiti-13825	59	13	linear	linear	ADJ
aiti-13825	59	14	complex	complex	ADJ
aiti-13825	59	15	data	datum	NOUN
aiti-13825	59	16	.	.	PUNCT
aiti-13825	60	1	muhammad	muhammad	PROPN
aiti-13825	60	2	et	et	PROPN
aiti-13825	60	3	al	al	PROPN
aiti-13825	60	4	.	.	PUNCT
aiti-13825	61	1	[	[	X
aiti-13825	61	2	15	15	NUM
aiti-13825	61	3	]	]	PUNCT
aiti-13825	61	4	optimized	optimize	VERB
aiti-13825	61	5	feature	feature	NOUN
aiti-13825	61	6	spaces	space	NOUN
aiti-13825	61	7	using	use	VERB
aiti-13825	61	8	algorithms	algorithm	NOUN
aiti-13825	61	9	like	like	ADP
aiti-13825	61	10	fast	fast	ADJ
aiti-13825	61	11	correlation	correlation	NOUN
aiti-13825	61	12	-	-	PUNCT
aiti-13825	61	13	based	base	VERB
aiti-13825	61	14	filter	filter	NOUN
aiti-13825	61	15	solution	solution	NOUN
aiti-13825	61	16	(	(	PUNCT
aiti-13825	61	17	fcbf	fcbf	X
aiti-13825	61	18	)	)	PUNCT
aiti-13825	61	19	,	,	PUNCT
aiti-13825	61	20	minimal	minimal	ADJ
aiti-13825	61	21	redundancy	redundancy	NOUN
aiti-13825	61	22	maximal	maximal	ADJ
aiti-13825	61	23	relevance	relevance	NOUN
aiti-13825	61	24	(	(	PUNCT
aiti-13825	61	25	mrmr	mrmr	X
aiti-13825	61	26	)	)	PUNCT
aiti-13825	61	27	,	,	PUNCT
aiti-13825	61	28	relief	relief	NOUN
aiti-13825	61	29	,	,	PUNCT
aiti-13825	61	30	and	and	CCONJ
aiti-13825	61	31	least	least	ADJ
aiti-13825	61	32	absolute	absolute	ADJ
aiti-13825	61	33	shrinkage	shrinkage	NOUN
aiti-13825	61	34	and	and	CCONJ
aiti-13825	61	35	selection	selection	NOUN
aiti-13825	61	36	operator	operator	NOUN
aiti-13825	61	37	(	(	PUNCT
aiti-13825	61	38	lasso	lasso	PROPN
aiti-13825	61	39	)	)	PUNCT
aiti-13825	61	40	,	,	PUNCT
aiti-13825	61	41	achieving	achieve	VERB
aiti-13825	61	42	an	an	DET
aiti-13825	61	43	accuracy	accuracy	NOUN
aiti-13825	61	44	of	of	ADP
aiti-13825	61	45	94.41	94.41	NUM
aiti-13825	61	46	%	%	NOUN
aiti-13825	61	47	.	.	PUNCT
aiti-13825	62	1	however	however	ADV
aiti-13825	62	2	,	,	PUNCT
aiti-13825	62	3	further	further	ADJ
aiti-13825	62	4	exploration	exploration	NOUN
aiti-13825	62	5	of	of	ADP
aiti-13825	62	6	the	the	DET
aiti-13825	62	7	selection	selection	NOUN
aiti-13825	62	8	of	of	ADP
aiti-13825	62	9	optimization	optimization	NOUN
aiti-13825	62	10	techniques	technique	NOUN
aiti-13825	62	11	and	and	CCONJ
aiti-13825	62	12	a	a	DET
aiti-13825	62	13	comparative	comparative	ADJ
aiti-13825	62	14	analysis	analysis	NOUN
aiti-13825	62	15	is	be	AUX
aiti-13825	62	16	required	require	VERB
aiti-13825	62	17	.	.	PUNCT
aiti-13825	63	1	singh	singh	PROPN
aiti-13825	63	2	and	and	CCONJ
aiti-13825	63	3	kumar	kumar	PROPN
aiti-13825	63	4	[	[	X
aiti-13825	63	5	16	16	NUM
aiti-13825	63	6	]	]	PUNCT
aiti-13825	63	7	identified	identify	VERB
aiti-13825	63	8	knn	knn	PROPN
aiti-13825	63	9	as	as	ADP
aiti-13825	63	10	the	the	DET
aiti-13825	63	11	best	good	ADJ
aiti-13825	63	12	predictor	predictor	NOUN
aiti-13825	63	13	among	among	ADP
aiti-13825	63	14	support	support	NOUN
aiti-13825	63	15	vector	vector	NOUN
aiti-13825	63	16	machine	machine	NOUN
aiti-13825	63	17	(	(	PUNCT
aiti-13825	63	18	svm	svm	PROPN
aiti-13825	63	19	)	)	PUNCT
aiti-13825	63	20	,	,	PUNCT
aiti-13825	63	21	knn	knn	PROPN
aiti-13825	63	22	,	,	PUNCT
aiti-13825	63	23	linear	linear	ADJ
aiti-13825	63	24	regression	regression	NOUN
aiti-13825	63	25	,	,	PUNCT
aiti-13825	63	26	and	and	CCONJ
aiti-13825	63	27	dt	dt	X
aiti-13825	63	28	with	with	ADP
aiti-13825	63	29	87	87	NUM
aiti-13825	63	30	%	%	NOUN
aiti-13825	63	31	accuracy	accuracy	NOUN
aiti-13825	63	32	.	.	PUNCT
aiti-13825	64	1	a	a	DET
aiti-13825	64	2	summary	summary	NOUN
aiti-13825	64	3	of	of	ADP
aiti-13825	64	4	diverse	diverse	ADJ
aiti-13825	64	5	qualities	quality	NOUN
aiti-13825	64	6	among	among	ADP
aiti-13825	64	7	ml	ml	ADP
aiti-13825	64	8	algorithms	algorithm	NOUN
aiti-13825	64	9	for	for	ADP
aiti-13825	64	10	cardiovascular	cardiovascular	ADJ
aiti-13825	64	11	disease	disease	NOUN
aiti-13825	64	12	prediction	prediction	NOUN
aiti-13825	64	13	is	be	AUX
aiti-13825	64	14	presented	present	VERB
aiti-13825	64	15	in	in	ADP
aiti-13825	64	16	krittanawong	krittanawong	PROPN
aiti-13825	64	17	et	et	PROPN
aiti-13825	64	18	al	al	PROPN
aiti-13825	64	19	.	.	PUNCT
aiti-13825	65	1	[	[	X
aiti-13825	65	2	17	17	NUM
aiti-13825	65	3	]	]	PUNCT
aiti-13825	65	4	,	,	PUNCT
aiti-13825	65	5	highlighting	highlight	VERB
aiti-13825	65	6	the	the	DET
aiti-13825	65	7	promising	promising	ADJ
aiti-13825	65	8	abilities	ability	NOUN
aiti-13825	65	9	of	of	ADP
aiti-13825	65	10	svm	svm	NOUN
aiti-13825	65	11	and	and	CCONJ
aiti-13825	65	12	boosting	boost	VERB
aiti-13825	65	13	algorithms	algorithm	NOUN
aiti-13825	65	14	.	.	PUNCT
aiti-13825	66	1	the	the	DET
aiti-13825	66	2	authors	author	NOUN
aiti-13825	66	3	commented	comment	VERB
aiti-13825	66	4	that	that	SCONJ
aiti-13825	66	5	an	an	DET
aiti-13825	66	6	appropriate	appropriate	ADJ
aiti-13825	66	7	approach	approach	NOUN
aiti-13825	66	8	to	to	ADP
aiti-13825	66	9	selecting	select	VERB
aiti-13825	66	10	an	an	DET
aiti-13825	66	11	ml	ml	NOUN
aiti-13825	66	12	model	model	NOUN
aiti-13825	66	13	is	be	AUX
aiti-13825	66	14	required	require	VERB
aiti-13825	66	15	to	to	PART
aiti-13825	66	16	interpret	interpret	VERB
aiti-13825	66	17	the	the	DET
aiti-13825	66	18	study	study	NOUN
aiti-13825	66	19	in	in	ADP
aiti-13825	66	20	the	the	DET
aiti-13825	66	21	context	context	NOUN
aiti-13825	66	22	of	of	ADP
aiti-13825	66	23	clinical	clinical	ADJ
aiti-13825	66	24	practices	practice	NOUN
aiti-13825	66	25	.	.	PUNCT
aiti-13825	67	1	advances	advance	NOUN
aiti-13825	67	2	in	in	ADP
aiti-13825	67	3	technology	technology	NOUN
aiti-13825	67	4	innovation	innovation	NOUN
aiti-13825	67	5	,	,	PUNCT
aiti-13825	67	6	vol	vol	NOUN
aiti-13825	67	7	.	.	PROPN
aiti-13825	68	1	10	10	NUM
aiti-13825	68	2	,	,	PUNCT
aiti-13825	68	3	no	no	INTJ
aiti-13825	68	4	.	.	NOUN
aiti-13825	68	5	1	1	NUM
aiti-13825	68	6	,	,	PUNCT
aiti-13825	68	7	2025	2025	NUM
aiti-13825	68	8	,	,	PUNCT
aiti-13825	68	9	pp	pp	ADJ
aiti-13825	68	10	.	.	PUNCT
aiti-13825	69	1	58	58	NUM
aiti-13825	69	2	-	-	SYM
aiti-13825	69	3	71	71	NUM
aiti-13825	69	4	60	60	NUM
aiti-13825	69	5	yadav	yadav	PROPN
aiti-13825	69	6	et	et	PROPN
aiti-13825	69	7	al	al	PROPN
aiti-13825	69	8	.	.	PUNCT
aiti-13825	70	1	[	[	X
aiti-13825	70	2	18	18	NUM
aiti-13825	70	3	]	]	PUNCT
aiti-13825	70	4	used	use	VERB
aiti-13825	70	5	logistic	logistic	ADJ
aiti-13825	70	6	regression	regression	NOUN
aiti-13825	70	7	(	(	PUNCT
aiti-13825	70	8	lr	lr	NOUN
aiti-13825	70	9	)	)	PUNCT
aiti-13825	70	10	,	,	PUNCT
aiti-13825	70	11	knn	knn	PROPN
aiti-13825	70	12	,	,	PUNCT
aiti-13825	70	13	and	and	CCONJ
aiti-13825	70	14	nb	nb	INTJ
aiti-13825	70	15	,	,	PUNCT
aiti-13825	70	16	finding	find	VERB
aiti-13825	70	17	that	that	SCONJ
aiti-13825	70	18	fuzzy	fuzzy	ADJ
aiti-13825	70	19	knn	knn	PROPN
aiti-13825	70	20	produced	produce	VERB
aiti-13825	70	21	better	well	ADJ
aiti-13825	70	22	results	result	NOUN
aiti-13825	70	23	.	.	PUNCT
aiti-13825	71	1	akella	akella	NOUN
aiti-13825	71	2	and	and	CCONJ
aiti-13825	71	3	akella	akella	NOUN
aiti-13825	71	4	[	[	X
aiti-13825	71	5	19	19	NUM
aiti-13825	71	6	]	]	PUNCT
aiti-13825	71	7	employed	employ	VERB
aiti-13825	71	8	six	six	NUM
aiti-13825	71	9	ml	ml	NOUN
aiti-13825	71	10	algorithms	algorithm	NOUN
aiti-13825	71	11	,	,	PUNCT
aiti-13825	71	12	achieving	achieve	VERB
aiti-13825	71	13	an	an	DET
aiti-13825	71	14	accuracy	accuracy	NOUN
aiti-13825	71	15	of	of	ADP
aiti-13825	71	16	93	93	NUM
aiti-13825	71	17	%	%	NOUN
aiti-13825	71	18	using	use	VERB
aiti-13825	71	19	an	an	DET
aiti-13825	71	20	artificial	artificial	ADJ
aiti-13825	71	21	neuron	neuron	NOUN
aiti-13825	71	22	network	network	NOUN
aiti-13825	71	23	(	(	PUNCT
aiti-13825	71	24	ann	ann	PROPN
aiti-13825	71	25	)	)	PUNCT
aiti-13825	71	26	for	for	ADP
aiti-13825	71	27	coronary	coronary	ADJ
aiti-13825	71	28	artery	artery	NOUN
aiti-13825	71	29	disease	disease	NOUN
aiti-13825	71	30	detection	detection	NOUN
aiti-13825	71	31	.	.	PUNCT
aiti-13825	72	1	they	they	PRON
aiti-13825	72	2	employed	employ	VERB
aiti-13825	72	3	14	14	NUM
aiti-13825	72	4	features	feature	NOUN
aiti-13825	72	5	without	without	ADP
aiti-13825	72	6	empirical	empirical	ADJ
aiti-13825	72	7	study	study	NOUN
aiti-13825	72	8	on	on	ADP
aiti-13825	72	9	feature	feature	NOUN
aiti-13825	72	10	selections	selection	NOUN
aiti-13825	72	11	.	.	PUNCT
aiti-13825	73	1	garcía	garcía	ADJ
aiti-13825	73	2	-	-	PUNCT
aiti-13825	73	3	ordás	ordás	PROPN
aiti-13825	73	4	et	et	PROPN
aiti-13825	73	5	al	al	PROPN
aiti-13825	73	6	.	.	PUNCT
aiti-13825	74	1	[	[	X
aiti-13825	74	2	20	20	NUM
aiti-13825	74	3	]	]	PUNCT
aiti-13825	74	4	explored	explore	VERB
aiti-13825	74	5	heart	heart	NOUN
aiti-13825	74	6	disease	disease	NOUN
aiti-13825	74	7	prediction	prediction	NOUN
aiti-13825	74	8	using	use	VERB
aiti-13825	74	9	deep	deep	ADJ
aiti-13825	74	10	learning	learning	NOUN
aiti-13825	74	11	algorithms	algorithm	NOUN
aiti-13825	74	12	,	,	PUNCT
aiti-13825	74	13	and	and	CCONJ
aiti-13825	74	14	accuracy	accuracy	NOUN
aiti-13825	74	15	is	be	AUX
aiti-13825	74	16	limited	limit	VERB
aiti-13825	74	17	to	to	ADP
aiti-13825	74	18	78.3	78.3	NUM
aiti-13825	74	19	%	%	NOUN
aiti-13825	74	20	with	with	ADP
aiti-13825	74	21	nnn	nnn	PROPN
aiti-13825	74	22	after	after	ADP
aiti-13825	74	23	hyperparameter	hyperparameter	NOUN
aiti-13825	74	24	tuning	tuning	NOUN
aiti-13825	74	25	and	and	CCONJ
aiti-13825	74	26	feature	feature	NOUN
aiti-13825	74	27	selection	selection	NOUN
aiti-13825	74	28	.	.	PUNCT
aiti-13825	75	1	the	the	DET
aiti-13825	75	2	authors	author	NOUN
aiti-13825	75	3	performed	perform	VERB
aiti-13825	75	4	arrhythmia	arrhythmia	NOUN
aiti-13825	75	5	classification	classification	NOUN
aiti-13825	75	6	with	with	ADP
aiti-13825	75	7	heart	heart	NOUN
aiti-13825	75	8	rate	rate	NOUN
aiti-13825	75	9	variability	variability	NOUN
aiti-13825	75	10	(	(	PUNCT
aiti-13825	75	11	hrv	hrv	NOUN
aiti-13825	75	12	)	)	PUNCT
aiti-13825	75	13	in	in	ADP
aiti-13825	75	14	yaghouby	yaghouby	PROPN
aiti-13825	75	15	et	et	PROPN
aiti-13825	75	16	al	al	PROPN
aiti-13825	75	17	.	.	PUNCT
aiti-13825	76	1	[	[	X
aiti-13825	76	2	21	21	NUM
aiti-13825	76	3	]	]	PUNCT
aiti-13825	76	4	using	use	VERB
aiti-13825	76	5	a	a	DET
aiti-13825	76	6	small	small	ADJ
aiti-13825	76	7	subset	subset	NOUN
aiti-13825	76	8	of	of	ADP
aiti-13825	76	9	the	the	DET
aiti-13825	76	10	mit	mit	VERB
aiti-13825	76	11	-	-	PUNCT
aiti-13825	76	12	bih	bih	NOUN
aiti-13825	76	13	dataset	dataset	NOUN
aiti-13825	76	14	.	.	PUNCT
aiti-13825	77	1	they	they	PRON
aiti-13825	77	2	minimized	minimize	VERB
aiti-13825	77	3	the	the	DET
aiti-13825	77	4	features	feature	NOUN
aiti-13825	77	5	using	use	VERB
aiti-13825	77	6	discriminant	discriminant	ADJ
aiti-13825	77	7	analysis	analysis	NOUN
aiti-13825	77	8	techniques	technique	NOUN
aiti-13825	77	9	,	,	PUNCT
aiti-13825	77	10	and	and	CCONJ
aiti-13825	77	11	mlp	mlp	NOUN
aiti-13825	77	12	was	be	AUX
aiti-13825	77	13	used	use	VERB
aiti-13825	77	14	to	to	PART
aiti-13825	77	15	classify	classify	VERB
aiti-13825	77	16	the	the	DET
aiti-13825	77	17	four	four	NUM
aiti-13825	77	18	classes	class	NOUN
aiti-13825	77	19	.	.	PUNCT
aiti-13825	78	1	further	further	ADJ
aiti-13825	78	2	validation	validation	NOUN
aiti-13825	78	3	on	on	ADP
aiti-13825	78	4	a	a	DET
aiti-13825	78	5	large	large	ADJ
aiti-13825	78	6	dataset	dataset	NOUN
aiti-13825	78	7	is	be	AUX
aiti-13825	78	8	required	require	VERB
aiti-13825	78	9	.	.	PUNCT
aiti-13825	79	1	asl	asl	NOUN
aiti-13825	79	2	et	et	PROPN
aiti-13825	79	3	al	al	PROPN
aiti-13825	79	4	.	.	PUNCT
aiti-13825	80	1	[	[	X
aiti-13825	80	2	22	22	NUM
aiti-13825	80	3	]	]	PUNCT
aiti-13825	80	4	found	find	VERB
aiti-13825	80	5	that	that	SCONJ
aiti-13825	80	6	feature	feature	NOUN
aiti-13825	80	7	selection	selection	NOUN
aiti-13825	80	8	reduced	reduce	VERB
aiti-13825	80	9	features	feature	NOUN
aiti-13825	80	10	to	to	ADP
aiti-13825	80	11	5	5	NUM
aiti-13825	80	12	,	,	PUNCT
aiti-13825	80	13	with	with	ADP
aiti-13825	80	14	svm	svm	PROPN
aiti-13825	80	15	achieving	achieve	VERB
aiti-13825	80	16	the	the	DET
aiti-13825	80	17	highest	high	ADJ
aiti-13825	80	18	arrhythmia	arrhythmia	NOUN
aiti-13825	80	19	classification	classification	NOUN
aiti-13825	80	20	accuracy	accuracy	NOUN
aiti-13825	80	21	.	.	PUNCT
aiti-13825	81	1	by	by	ADP
aiti-13825	81	2	focusing	focus	VERB
aiti-13825	81	3	on	on	ADP
aiti-13825	81	4	critical	critical	ADJ
aiti-13825	81	5	elements	element	NOUN
aiti-13825	81	6	,	,	PUNCT
aiti-13825	81	7	feature	feature	NOUN
aiti-13825	81	8	selection	selection	NOUN
aiti-13825	81	9	enhances	enhance	NOUN
aiti-13825	81	10	accuracy	accuracy	NOUN
aiti-13825	81	11	.	.	PUNCT
aiti-13825	82	1	this	this	DET
aiti-13825	82	2	study	study	NOUN
aiti-13825	82	3	introduces	introduce	VERB
aiti-13825	82	4	a	a	DET
aiti-13825	82	5	new	new	ADJ
aiti-13825	82	6	feature	feature	NOUN
aiti-13825	82	7	selection	selection	NOUN
aiti-13825	82	8	method	method	NOUN
aiti-13825	82	9	and	and	CCONJ
aiti-13825	82	10	ml	ml	AUX
aiti-13825	82	11	optimization	optimization	NOUN
aiti-13825	82	12	to	to	PART
aiti-13825	82	13	improve	improve	VERB
aiti-13825	82	14	classification	classification	NOUN
aiti-13825	82	15	.	.	PUNCT
aiti-13825	83	1	nagavelli	nagavelli	PROPN
aiti-13825	83	2	et	et	PROPN
aiti-13825	83	3	al	al	PROPN
aiti-13825	83	4	.	.	PUNCT
aiti-13825	84	1	[	[	X
aiti-13825	84	2	23	23	NUM
aiti-13825	84	3	]	]	AUX
aiti-13825	84	4	used	use	VERB
aiti-13825	84	5	weighted	weight	VERB
aiti-13825	84	6	nb	nb	PROPN
aiti-13825	84	7	,	,	PUNCT
aiti-13825	84	8	svm	svm	PROPN
aiti-13825	84	9	,	,	PUNCT
aiti-13825	84	10	and	and	CCONJ
aiti-13825	84	11	extreme	extreme	ADJ
aiti-13825	84	12	gradient	gradient	NOUN
aiti-13825	84	13	boosting	boost	VERB
aiti-13825	84	14	(	(	PUNCT
aiti-13825	84	15	xgboost	xgboost	ADV
aiti-13825	84	16	)	)	PUNCT
aiti-13825	84	17	with	with	ADP
aiti-13825	84	18	synthetic	synthetic	ADJ
aiti-13825	84	19	minority	minority	NOUN
aiti-13825	84	20	oversampling	oversample	VERB
aiti-13825	84	21	technique	technique	NOUN
aiti-13825	84	22	-	-	PUNCT
aiti-13825	84	23	edited	edit	VERB
aiti-13825	84	24	nearest	near	ADJ
aiti-13825	84	25	neighbor	neighbor	NOUN
aiti-13825	84	26	(	(	PUNCT
aiti-13825	84	27	smote	smote	NOUN
aiti-13825	84	28	-	-	PUNCT
aiti-13825	84	29	enn	enn	NOUN
aiti-13825	84	30	)	)	PUNCT
aiti-13825	84	31	for	for	ADP
aiti-13825	84	32	ischemic	ischemic	ADJ
aiti-13825	84	33	heart	heart	NOUN
aiti-13825	84	34	disease	disease	NOUN
aiti-13825	84	35	localization	localization	NOUN
aiti-13825	84	36	and	and	CCONJ
aiti-13825	84	37	an	an	DET
aiti-13825	84	38	improved	improved	ADJ
aiti-13825	84	39	svm	svm	NOUN
aiti-13825	84	40	for	for	ADP
aiti-13825	84	41	heart	heart	NOUN
aiti-13825	84	42	failure	failure	NOUN
aiti-13825	84	43	detection	detection	NOUN
aiti-13825	84	44	.	.	PUNCT
aiti-13825	85	1	they	they	PRON
aiti-13825	85	2	observed	observe	VERB
aiti-13825	85	3	xgboost	xgboost	ADV
aiti-13825	85	4	as	as	ADP
aiti-13825	85	5	the	the	DET
aiti-13825	85	6	most	most	ADV
aiti-13825	85	7	effective	effective	ADJ
aiti-13825	85	8	algorithm	algorithm	NOUN
aiti-13825	85	9	.	.	PUNCT
aiti-13825	86	1	the	the	DET
aiti-13825	86	2	study	study	NOUN
aiti-13825	86	3	concludes	conclude	VERB
aiti-13825	86	4	by	by	ADP
aiti-13825	86	5	suggesting	suggest	VERB
aiti-13825	86	6	feature	feature	NOUN
aiti-13825	86	7	enhancements	enhancement	NOUN
aiti-13825	86	8	,	,	PUNCT
aiti-13825	86	9	including	include	VERB
aiti-13825	86	10	dataset	dataset	NOUN
aiti-13825	86	11	updates	update	NOUN
aiti-13825	86	12	and	and	CCONJ
aiti-13825	86	13	integration	integration	NOUN
aiti-13825	86	14	with	with	ADP
aiti-13825	86	15	hospital	hospital	NOUN
aiti-13825	86	16	databases	database	NOUN
aiti-13825	86	17	.	.	PUNCT
aiti-13825	87	1	cardiovascular	cardiovascular	ADJ
aiti-13825	87	2	disease	disease	NOUN
aiti-13825	87	3	causes	cause	VERB
aiti-13825	87	4	32	32	NUM
aiti-13825	87	5	%	%	NOUN
aiti-13825	87	6	of	of	ADP
aiti-13825	87	7	global	global	ADJ
aiti-13825	87	8	deaths	death	NOUN
aiti-13825	87	9	,	,	PUNCT
aiti-13825	87	10	according	accord	VERB
aiti-13825	87	11	to	to	ADP
aiti-13825	87	12	biswas	biswas	PROPN
aiti-13825	87	13	et	et	PROPN
aiti-13825	87	14	al	al	PROPN
aiti-13825	87	15	.	.	PUNCT
aiti-13825	88	1	[	[	X
aiti-13825	88	2	24	24	NUM
aiti-13825	88	3	]	]	PUNCT
aiti-13825	88	4	.	.	PUNCT
aiti-13825	89	1	they	they	PRON
aiti-13825	89	2	aimed	aim	VERB
aiti-13825	89	3	for	for	ADP
aiti-13825	89	4	early	early	ADJ
aiti-13825	89	5	-	-	PUNCT
aiti-13825	89	6	stage	stage	NOUN
aiti-13825	89	7	identification	identification	NOUN
aiti-13825	89	8	using	use	VERB
aiti-13825	89	9	ml	ml	NOUN
aiti-13825	89	10	.	.	PUNCT
aiti-13825	90	1	chi	chi	NOUN
aiti-13825	90	2	-	-	PUNCT
aiti-13825	90	3	square	square	PROPN
aiti-13825	90	4	,	,	PUNCT
aiti-13825	90	5	anova	anova	PROPN
aiti-13825	90	6	,	,	PUNCT
aiti-13825	90	7	and	and	CCONJ
aiti-13825	90	8	mutual	mutual	ADJ
aiti-13825	90	9	information	information	NOUN
aiti-13825	90	10	(	(	PUNCT
aiti-13825	90	11	sf1	sf1	PROPN
aiti-13825	90	12	,	,	PUNCT
aiti-13825	90	13	sf2	sf2	PROPN
aiti-13825	90	14	,	,	PUNCT
aiti-13825	90	15	and	and	CCONJ
aiti-13825	90	16	sf3	sf3	PROPN
aiti-13825	90	17	)	)	PUNCT
aiti-13825	90	18	are	be	AUX
aiti-13825	90	19	used	use	VERB
aiti-13825	90	20	to	to	PART
aiti-13825	90	21	evaluate	evaluate	VERB
aiti-13825	90	22	six	six	NUM
aiti-13825	90	23	ml	ml	NOUN
aiti-13825	90	24	models	model	NOUN
aiti-13825	90	25	.	.	PUNCT
aiti-13825	91	1	rf	rf	PRON
aiti-13825	91	2	is	be	AUX
aiti-13825	91	3	the	the	DET
aiti-13825	91	4	most	most	ADV
aiti-13825	91	5	promising	promising	ADJ
aiti-13825	91	6	,	,	PUNCT
aiti-13825	91	7	with	with	ADP
aiti-13825	91	8	94.51	94.51	NUM
aiti-13825	91	9	%	%	NOUN
aiti-13825	91	10	accuracy	accuracy	NOUN
aiti-13825	91	11	,	,	PUNCT
aiti-13825	91	12	94.87	94.87	NUM
aiti-13825	91	13	%	%	NOUN
aiti-13825	91	14	sensitivity	sensitivity	NOUN
aiti-13825	91	15	,	,	PUNCT
aiti-13825	91	16	94.23	94.23	NUM
aiti-13825	91	17	%	%	NOUN
aiti-13825	91	18	specificity	specificity	NOUN
aiti-13825	91	19	,	,	PUNCT
aiti-13825	91	20	and	and	CCONJ
aiti-13825	91	21	0.31	0.31	NUM
aiti-13825	91	22	log	log	NOUN
aiti-13825	91	23	loss	loss	NOUN
aiti-13825	91	24	for	for	ADP
aiti-13825	91	25	sf3	sf3	PROPN
aiti-13825	91	26	feature	feature	NOUN
aiti-13825	91	27	subsets	subset	NOUN
aiti-13825	91	28	.	.	PUNCT
aiti-13825	92	1	the	the	DET
aiti-13825	92	2	model	model	NOUN
aiti-13825	92	3	’s	’s	PART
aiti-13825	92	4	performance	performance	NOUN
aiti-13825	92	5	and	and	CCONJ
aiti-13825	92	6	selected	select	VERB
aiti-13825	92	7	features	feature	NOUN
aiti-13825	92	8	suggest	suggest	VERB
aiti-13825	92	9	it	it	PRON
aiti-13825	92	10	could	could	AUX
aiti-13825	92	11	be	be	AUX
aiti-13825	92	12	used	use	VERB
aiti-13825	92	13	clinically	clinically	ADV
aiti-13825	92	14	to	to	PART
aiti-13825	92	15	predict	predict	VERB
aiti-13825	92	16	early	early	ADJ
aiti-13825	92	17	heart	heart	NOUN
aiti-13825	92	18	disease	disease	NOUN
aiti-13825	92	19	at	at	ADP
aiti-13825	92	20	a	a	DET
aiti-13825	92	21	low	low	ADJ
aiti-13825	92	22	cost	cost	NOUN
aiti-13825	92	23	and	and	CCONJ
aiti-13825	92	24	in	in	ADP
aiti-13825	92	25	a	a	DET
aiti-13825	92	26	short	short	ADJ
aiti-13825	92	27	time	time	NOUN
aiti-13825	92	28	.	.	PUNCT
aiti-13825	93	1	however	however	ADV
aiti-13825	93	2	,	,	PUNCT
aiti-13825	93	3	the	the	DET
aiti-13825	93	4	heart	heart	NOUN
aiti-13825	93	5	disease	disease	NOUN
aiti-13825	93	6	dataset	dataset	VERB
aiti-13825	93	7	was	be	AUX
aiti-13825	93	8	insufficient	insufficient	ADJ
aiti-13825	93	9	for	for	ADP
aiti-13825	93	10	developing	develop	VERB
aiti-13825	93	11	a	a	DET
aiti-13825	93	12	more	more	ADV
aiti-13825	93	13	accurate	accurate	ADJ
aiti-13825	93	14	predictive	predictive	ADJ
aiti-13825	93	15	model	model	NOUN
aiti-13825	93	16	.	.	PUNCT
aiti-13825	94	1	ahmad	ahmad	PROPN
aiti-13825	94	2	and	and	CCONJ
aiti-13825	94	3	polat	polat	NOUN
aiti-13825	94	4	[	[	X
aiti-13825	94	5	25	25	NUM
aiti-13825	94	6	]	]	PUNCT
aiti-13825	94	7	emphasized	emphasize	VERB
aiti-13825	94	8	early	early	ADJ
aiti-13825	94	9	detection	detection	NOUN
aiti-13825	94	10	’s	’s	PART
aiti-13825	94	11	importance	importance	NOUN
aiti-13825	94	12	in	in	ADP
aiti-13825	94	13	fighting	fight	VERB
aiti-13825	94	14	heart	heart	NOUN
aiti-13825	94	15	disease	disease	NOUN
aiti-13825	94	16	.	.	PUNCT
aiti-13825	95	1	their	their	PRON
aiti-13825	95	2	research	research	NOUN
aiti-13825	95	3	developed	develop	VERB
aiti-13825	95	4	an	an	DET
aiti-13825	95	5	ml	ml	NOUN
aiti-13825	95	6	model	model	NOUN
aiti-13825	95	7	using	use	VERB
aiti-13825	95	8	cleveland	cleveland	PROPN
aiti-13825	95	9	heart	heart	NOUN
aiti-13825	95	10	disease	disease	NOUN
aiti-13825	95	11	data	datum	NOUN
aiti-13825	95	12	.	.	PUNCT
aiti-13825	96	1	the	the	DET
aiti-13825	96	2	jellyfish	jellyfish	ADJ
aiti-13825	96	3	optimization	optimization	NOUN
aiti-13825	96	4	algorithm	algorithm	NOUN
aiti-13825	96	5	reduced	reduce	VERB
aiti-13825	96	6	the	the	DET
aiti-13825	96	7	dataset	dataset	NOUN
aiti-13825	96	8	’s	’s	PART
aiti-13825	96	9	dimensionality	dimensionality	NOUN
aiti-13825	96	10	,	,	PUNCT
aiti-13825	96	11	minimizing	minimize	VERB
aiti-13825	96	12	overfitting	overfitting	NOUN
aiti-13825	96	13	.	.	PUNCT
aiti-13825	97	1	the	the	DET
aiti-13825	97	2	svm	svm	PROPN
aiti-13825	97	3	classifier	classifier	NOUN
aiti-13825	97	4	with	with	ADP
aiti-13825	97	5	the	the	DET
aiti-13825	97	6	jellyfish	jellyfish	ADJ
aiti-13825	97	7	algorithm	algorithm	NOUN
aiti-13825	97	8	achieved	achieve	VERB
aiti-13825	97	9	top	top	ADJ
aiti-13825	97	10	performance	performance	NOUN
aiti-13825	97	11	,	,	PUNCT
aiti-13825	97	12	with	with	ADP
aiti-13825	97	13	98.56	98.56	NUM
aiti-13825	97	14	%	%	NOUN
aiti-13825	97	15	sensitivity	sensitivity	NOUN
aiti-13825	97	16	,	,	PUNCT
aiti-13825	97	17	98.37	98.37	NUM
aiti-13825	97	18	%	%	NOUN
aiti-13825	97	19	specificity	specificity	NOUN
aiti-13825	97	20	,	,	PUNCT
aiti-13825	97	21	98.47	98.47	NUM
aiti-13825	97	22	%	%	NOUN
aiti-13825	97	23	accuracy	accuracy	NOUN
aiti-13825	97	24	,	,	PUNCT
aiti-13825	97	25	and	and	CCONJ
aiti-13825	97	26	94.48	94.48	NUM
aiti-13825	97	27	%	%	NOUN
aiti-13825	97	28	area	area	NOUN
aiti-13825	97	29	under	under	ADP
aiti-13825	97	30	the	the	DET
aiti-13825	97	31	curve	curve	NOUN
aiti-13825	97	32	.	.	PUNCT
aiti-13825	98	1	however	however	ADV
aiti-13825	98	2	,	,	PUNCT
aiti-13825	98	3	they	they	PRON
aiti-13825	98	4	must	must	AUX
aiti-13825	98	5	be	be	AUX
aiti-13825	98	6	implemented	implement	VERB
aiti-13825	98	7	into	into	ADP
aiti-13825	98	8	clinical	clinical	ADJ
aiti-13825	98	9	practice	practice	NOUN
aiti-13825	98	10	to	to	PART
aiti-13825	98	11	improve	improve	VERB
aiti-13825	98	12	patient	patient	ADJ
aiti-13825	98	13	diagnosis	diagnosis	NOUN
aiti-13825	98	14	.	.	PUNCT
aiti-13825	99	1	the	the	DET
aiti-13825	99	2	research	research	NOUN
aiti-13825	99	3	addresses	address	VERB
aiti-13825	99	4	the	the	DET
aiti-13825	99	5	pressing	press	VERB
aiti-13825	99	6	issue	issue	NOUN
aiti-13825	99	7	of	of	ADP
aiti-13825	99	8	heart	heart	NOUN
aiti-13825	99	9	disease	disease	NOUN
aiti-13825	99	10	,	,	PUNCT
aiti-13825	99	11	which	which	PRON
aiti-13825	99	12	affects	affect	VERB
aiti-13825	99	13	ten	ten	NUM
aiti-13825	99	14	billion	billion	NUM
aiti-13825	99	15	people	people	NOUN
aiti-13825	99	16	annually	annually	ADV
aiti-13825	99	17	,	,	PUNCT
aiti-13825	99	18	as	as	SCONJ
aiti-13825	99	19	carried	carry	VERB
aiti-13825	99	20	out	out	ADP
aiti-13825	99	21	by	by	ADP
aiti-13825	99	22	saikumar	saikumar	PROPN
aiti-13825	99	23	et	et	PROPN
aiti-13825	99	24	al	al	PROPN
aiti-13825	99	25	.	.	PUNCT
aiti-13825	100	1	[	[	X
aiti-13825	100	2	26	26	NUM
aiti-13825	100	3	]	]	PUNCT
aiti-13825	100	4	.	.	PUNCT
aiti-13825	101	1	iot	iot	PROPN
aiti-13825	101	2	sensor	sensor	NOUN
aiti-13825	101	3	data	datum	NOUN
aiti-13825	101	4	and	and	CCONJ
aiti-13825	101	5	deep	deep	ADJ
aiti-13825	101	6	learning	learning	NOUN
aiti-13825	101	7	created	create	VERB
aiti-13825	101	8	an	an	DET
aiti-13825	101	9	intelligent	intelligent	ADJ
aiti-13825	101	10	heart	heart	NOUN
aiti-13825	101	11	diagnosis	diagnosis	NOUN
aiti-13825	101	12	app	app	NOUN
aiti-13825	101	13	.	.	PUNCT
aiti-13825	102	1	the	the	DET
aiti-13825	102	2	dg	dg	PROPN
aiti-13825	102	3	convonet	convonet	NOUN
aiti-13825	102	4	model	model	NOUN
aiti-13825	102	5	,	,	PUNCT
aiti-13825	102	6	trained	train	VERB
aiti-13825	102	7	on	on	ADP
aiti-13825	102	8	uc	uc	PROPN
aiti-13825	102	9	irvine	irvine	PROPN
aiti-13825	102	10	data	data	PROPN
aiti-13825	102	11	and	and	CCONJ
aiti-13825	102	12	tested	test	VERB
aiti-13825	102	13	with	with	ADP
aiti-13825	102	14	cleveland	cleveland	PROPN
aiti-13825	102	15	clinical	clinical	PROPN
aiti-13825	102	16	foundation	foundation	PROPN
aiti-13825	102	17	real	real	ADJ
aiti-13825	102	18	-	-	PUNCT
aiti-13825	102	19	time	time	NOUN
aiti-13825	102	20	instances	instance	NOUN
aiti-13825	102	21	,	,	PUNCT
aiti-13825	102	22	has	have	VERB
aiti-13825	102	23	96	96	NUM
aiti-13825	102	24	%	%	NOUN
aiti-13825	102	25	accuracy	accuracy	NOUN
aiti-13825	102	26	.	.	PUNCT
aiti-13825	103	1	the	the	DET
aiti-13825	103	2	study	study	NOUN
aiti-13825	103	3	used	use	VERB
aiti-13825	103	4	k	k	NOUN
aiti-13825	103	5	-	-	PUNCT
aiti-13825	103	6	means	means	NOUN
aiti-13825	103	7	for	for	ADP
aiti-13825	103	8	noise	noise	NOUN
aiti-13825	103	9	reduction	reduction	NOUN
aiti-13825	103	10	and	and	CCONJ
aiti-13825	103	11	linear	linear	ADJ
aiti-13825	103	12	quadratic	quadratic	ADJ
aiti-13825	103	13	discriminant	discriminant	ADJ
aiti-13825	103	14	analysis	analysis	NOUN
aiti-13825	103	15	for	for	ADP
aiti-13825	103	16	feature	feature	NOUN
aiti-13825	103	17	extraction	extraction	NOUN
aiti-13825	103	18	achieving	achieve	VERB
aiti-13825	103	19	80	80	NUM
aiti-13825	103	20	%	%	NOUN
aiti-13825	103	21	sensitivity	sensitivity	NOUN
aiti-13825	103	22	,	,	PUNCT
aiti-13825	103	23	73	73	NUM
aiti-13825	103	24	%	%	NOUN
aiti-13825	103	25	specificity	specificity	NOUN
aiti-13825	103	26	,	,	PUNCT
aiti-13825	103	27	90	90	NUM
aiti-13825	103	28	%	%	NOUN
aiti-13825	103	29	precision	precision	NOUN
aiti-13825	103	30	,	,	PUNCT
aiti-13825	103	31	79	79	NUM
aiti-13825	103	32	%	%	NOUN
aiti-13825	103	33	f1	f1	NOUN
aiti-13825	103	34	-	-	PUNCT
aiti-13825	103	35	score	score	NOUN
aiti-13825	103	36	,	,	PUNCT
aiti-13825	103	37	and	and	CCONJ
aiti-13825	103	38	a	a	DET
aiti-13825	103	39	75	75	NUM
aiti-13825	103	40	%	%	NOUN
aiti-13825	103	41	receiver	receiver	NOUN
aiti-13825	103	42	operating	operate	VERB
aiti-13825	103	43	characteristic	characteristic	NOUN
aiti-13825	103	44	(	(	PUNCT
aiti-13825	103	45	roc	roc	PROPN
aiti-13825	103	46	)	)	PUNCT
aiti-13825	103	47	curve	curve	NOUN
aiti-13825	103	48	area	area	NOUN
aiti-13825	103	49	.	.	PUNCT
aiti-13825	104	1	however	however	ADV
aiti-13825	104	2	,	,	PUNCT
aiti-13825	104	3	features	feature	NOUN
aiti-13825	104	4	were	be	AUX
aiti-13825	104	5	chosen	choose	VERB
aiti-13825	104	6	randomly	randomly	ADV
aiti-13825	104	7	,	,	PUNCT
aiti-13825	104	8	and	and	CCONJ
aiti-13825	104	9	the	the	DET
aiti-13825	104	10	paper	paper	NOUN
aiti-13825	104	11	does	do	AUX
aiti-13825	104	12	not	not	PART
aiti-13825	104	13	evaluate	evaluate	VERB
aiti-13825	104	14	their	their	PRON
aiti-13825	104	15	impact	impact	NOUN
aiti-13825	104	16	.	.	PUNCT
aiti-13825	105	1	table	table	NOUN
aiti-13825	105	2	1	1	NUM
aiti-13825	105	3	compares	compare	VERB
aiti-13825	105	4	these	these	DET
aiti-13825	105	5	articles	article	NOUN
aiti-13825	105	6	,	,	PUNCT
aiti-13825	105	7	listing	list	VERB
aiti-13825	105	8	strengths	strength	NOUN
aiti-13825	105	9	and	and	CCONJ
aiti-13825	105	10	weaknesses	weakness	NOUN
aiti-13825	105	11	.	.	PUNCT
aiti-13825	106	1	table	table	NOUN
aiti-13825	106	2	1	1	NUM
aiti-13825	106	3	overview	overview	NOUN
aiti-13825	106	4	of	of	ADP
aiti-13825	106	5	studied	study	VERB
aiti-13825	106	6	articles	article	NOUN
aiti-13825	106	7	ref	ref	NOUN
aiti-13825	106	8	.	.	PUNCT
aiti-13825	107	1	models	model	NOUN
aiti-13825	107	2	remarks	remark	VERB
aiti-13825	107	3	shah	shah	PROPN
aiti-13825	107	4	et	et	PROPN
aiti-13825	107	5	al	al	PROPN
aiti-13825	107	6	.	.	PUNCT
aiti-13825	108	1	[	[	X
aiti-13825	108	2	8	8	NUM
aiti-13825	108	3	]	]	X
aiti-13825	108	4	nb	nb	NOUN
aiti-13825	108	5	,	,	PUNCT
aiti-13825	108	6	dt	dt	PROPN
aiti-13825	108	7	,	,	PUNCT
aiti-13825	108	8	knn	knn	PROPN
aiti-13825	108	9	,	,	PUNCT
aiti-13825	108	10	and	and	CCONJ
aiti-13825	108	11	rf	rf	PRON
aiti-13825	108	12	were	be	AUX
aiti-13825	108	13	tested	test	VERB
aiti-13825	108	14	on	on	ADP
aiti-13825	108	15	the	the	DET
aiti-13825	108	16	uci	uci	PROPN
aiti-13825	108	17	machine	machine	NOUN
aiti-13825	108	18	repository	repository	NOUN
aiti-13825	108	19	.	.	PUNCT
aiti-13825	109	1	(	(	PUNCT
aiti-13825	109	2	1	1	X
aiti-13825	109	3	)	)	PUNCT
aiti-13825	109	4	hyperparameters	hyperparameter	NOUN
aiti-13825	109	5	and	and	CCONJ
aiti-13825	109	6	features	feature	NOUN
aiti-13825	109	7	are	be	AUX
aiti-13825	109	8	not	not	PART
aiti-13825	109	9	optimized	optimize	VERB
aiti-13825	109	10	.	.	PUNCT
aiti-13825	110	1	(	(	PUNCT
aiti-13825	110	2	2	2	X
aiti-13825	110	3	)	)	PUNCT
aiti-13825	110	4	low	low	ADJ
aiti-13825	110	5	testing	testing	NOUN
aiti-13825	110	6	set	set	VERB
aiti-13825	110	7	accuracy	accuracy	NOUN
aiti-13825	110	8	,	,	PUNCT
aiti-13825	110	9	i.e.	i.e.	X
aiti-13825	110	10	,	,	PUNCT
aiti-13825	110	11	78.95	78.95	NUM
aiti-13825	110	12	%	%	NOUN
aiti-13825	110	13	.	.	PUNCT
aiti-13825	111	1	tarawneh	tarawneh	PROPN
aiti-13825	111	2	and	and	CCONJ
aiti-13825	111	3	embarak	embarak	VERB
aiti-13825	111	4	[	[	X
aiti-13825	111	5	9	9	X
aiti-13825	111	6	]	]	PUNCT
aiti-13825	111	7	a	a	DET
aiti-13825	111	8	hybrid	hybrid	ADJ
aiti-13825	111	9	approach	approach	NOUN
aiti-13825	111	10	of	of	ADP
aiti-13825	111	11	nb	nb	PROPN
aiti-13825	111	12	,	,	PUNCT
aiti-13825	111	13	knn	knn	PROPN
aiti-13825	111	14	,	,	PUNCT
aiti-13825	111	15	genetic	genetic	ADJ
aiti-13825	111	16	algorithm	algorithm	NOUN
aiti-13825	111	17	(	(	PUNCT
aiti-13825	111	18	ga	ga	PROPN
aiti-13825	111	19	)	)	PUNCT
aiti-13825	111	20	,	,	PUNCT
aiti-13825	111	21	svm	svm	PROPN
aiti-13825	111	22	,	,	PUNCT
aiti-13825	111	23	and	and	CCONJ
aiti-13825	111	24	nn	nn	PROPN
aiti-13825	111	25	was	be	AUX
aiti-13825	111	26	used	use	VERB
aiti-13825	111	27	for	for	ADP
aiti-13825	111	28	classification	classification	NOUN
aiti-13825	111	29	.	.	PUNCT
aiti-13825	112	1	(	(	PUNCT
aiti-13825	112	2	1	1	X
aiti-13825	112	3	)	)	PUNCT
aiti-13825	112	4	nb	nb	NOUN
aiti-13825	112	5	and	and	CCONJ
aiti-13825	112	6	svm	svm	VERB
aiti-13825	112	7	outperform	outperform	ADJ
aiti-13825	112	8	others	other	NOUN
aiti-13825	112	9	,	,	PUNCT
aiti-13825	112	10	so	so	ADV
aiti-13825	112	11	hybridizing	hybridize	VERB
aiti-13825	112	12	other	other	ADJ
aiti-13825	112	13	models	model	NOUN
aiti-13825	112	14	is	be	AUX
aiti-13825	112	15	inappropriate	inappropriate	ADJ
aiti-13825	112	16	.	.	PUNCT
aiti-13825	113	1	(	(	PUNCT
aiti-13825	113	2	2	2	X
aiti-13825	113	3	)	)	PUNCT
aiti-13825	113	4	max	max	PROPN
aiti-13825	113	5	accuracy	accuracy	NOUN
aiti-13825	113	6	is	be	AUX
aiti-13825	113	7	89.2	89.2	NUM
aiti-13825	113	8	%	%	NOUN
aiti-13825	113	9	.	.	PUNCT
aiti-13825	114	1	ramotra	ramotra	ADJ
aiti-13825	114	2	and	and	CCONJ
aiti-13825	114	3	mansotra	mansotra	ADJ
aiti-13825	115	1	[	[	X
aiti-13825	115	2	10	10	NUM
aiti-13825	115	3	]	]	X
aiti-13825	115	4	k	k	ADJ
aiti-13825	115	5	-	-	PUNCT
aiti-13825	115	6	means	mean	VERB
aiti-13825	115	7	clustering	clustering	NOUN
aiti-13825	115	8	,	,	PUNCT
aiti-13825	115	9	pca	pca	PROPN
aiti-13825	115	10	,	,	PUNCT
aiti-13825	115	11	and	and	CCONJ
aiti-13825	115	12	lr	lr	X
aiti-13825	115	13	to	to	PART
aiti-13825	115	14	recognize	recognize	VERB
aiti-13825	115	15	heart	heart	NOUN
aiti-13825	115	16	disease	disease	NOUN
aiti-13825	115	17	.	.	PUNCT
aiti-13825	116	1	(	(	PUNCT
aiti-13825	116	2	1	1	X
aiti-13825	116	3	)	)	PUNCT
aiti-13825	116	4	they	they	PRON
aiti-13825	116	5	separated	separate	VERB
aiti-13825	116	6	the	the	DET
aiti-13825	116	7	datasets	dataset	NOUN
aiti-13825	116	8	into	into	ADP
aiti-13825	116	9	healthy	healthy	ADJ
aiti-13825	116	10	and	and	CCONJ
aiti-13825	116	11	abnormal	abnormal	ADJ
aiti-13825	116	12	using	use	VERB
aiti-13825	116	13	clustering	clustering	NOUN
aiti-13825	116	14	.	.	PUNCT
aiti-13825	117	1	(	(	PUNCT
aiti-13825	117	2	2	2	X
aiti-13825	117	3	)	)	PUNCT
aiti-13825	117	4	pca	pca	NOUN
aiti-13825	117	5	-	-	PUNCT
aiti-13825	117	6	based	base	VERB
aiti-13825	117	7	feature	feature	NOUN
aiti-13825	117	8	reduction	reduction	NOUN
aiti-13825	117	9	regardless	regardless	ADV
aiti-13825	117	10	of	of	ADP
aiti-13825	117	11	significance	significance	NOUN
aiti-13825	117	12	.	.	PUNCT
aiti-13825	118	1	ali	ali	PROPN
aiti-13825	118	2	et	et	PROPN
aiti-13825	118	3	al	al	PROPN
aiti-13825	118	4	.	.	PUNCT
aiti-13825	119	1	[	[	X
aiti-13825	119	2	12	12	NUM
aiti-13825	119	3	]	]	X
aiti-13825	119	4	mlp	mlp	PROPN
aiti-13825	119	5	,	,	PUNCT
aiti-13825	119	6	knn	knn	PROPN
aiti-13825	119	7	,	,	PUNCT
aiti-13825	119	8	rf	rf	PROPN
aiti-13825	119	9	,	,	PUNCT
aiti-13825	119	10	dt	dt	X
aiti-13825	119	11	,	,	PUNCT
aiti-13825	119	12	lr	lr	NOUN
aiti-13825	119	13	,	,	PUNCT
aiti-13825	119	14	and	and	CCONJ
aiti-13825	119	15	adaboostm1	adaboostm1	PROPN
aiti-13825	119	16	(	(	PUNCT
aiti-13825	119	17	ab	ab	PROPN
aiti-13825	119	18	m1	m1	PROPN
aiti-13825	119	19	)	)	PUNCT
aiti-13825	119	20	were	be	AUX
aiti-13825	119	21	applied	apply	VERB
aiti-13825	119	22	to	to	PART
aiti-13825	119	23	kaggle	kaggle	VERB
aiti-13825	119	24	datasets	dataset	NOUN
aiti-13825	119	25	.	.	PUNCT
aiti-13825	120	1	10fold	10fold	NUM
aiti-13825	120	2	cross	cross	NOUN
aiti-13825	120	3	-	-	ADJ
aiti-13825	120	4	validation	validation	NOUN
aiti-13825	120	5	was	be	AUX
aiti-13825	120	6	used	use	VERB
aiti-13825	120	7	in	in	ADP
aiti-13825	120	8	training	training	NOUN
aiti-13825	120	9	.	.	PUNCT
aiti-13825	121	1	the	the	DET
aiti-13825	121	2	most	most	ADV
aiti-13825	121	3	predictive	predictive	ADJ
aiti-13825	121	4	features	feature	NOUN
aiti-13825	121	5	were	be	AUX
aiti-13825	121	6	ranked	rank	VERB
aiti-13825	121	7	by	by	ADP
aiti-13825	121	8	importance	importance	NOUN
aiti-13825	121	9	scores	score	NOUN
aiti-13825	121	10	.	.	PUNCT
aiti-13825	122	1	mlp	mlp	NOUN
aiti-13825	122	2	and	and	CCONJ
aiti-13825	122	3	knn	knn	PROPN
aiti-13825	122	4	failed	fail	VERB
aiti-13825	122	5	to	to	PART
aiti-13825	122	6	generate	generate	VERB
aiti-13825	122	7	scores	score	NOUN
aiti-13825	122	8	,	,	PUNCT
aiti-13825	122	9	and	and	CCONJ
aiti-13825	122	10	without	without	ADP
aiti-13825	122	11	feature	feature	NOUN
aiti-13825	122	12	ranking	ranking	NOUN
aiti-13825	122	13	,	,	PUNCT
aiti-13825	122	14	they	they	PRON
aiti-13825	122	15	obtained	obtain	VERB
aiti-13825	122	16	91	91	NUM
aiti-13825	122	17	%	%	NOUN
aiti-13825	122	18	and	and	CCONJ
aiti-13825	122	19	100	100	NUM
aiti-13825	122	20	%	%	NOUN
aiti-13825	122	21	accuracy	accuracy	NOUN
aiti-13825	122	22	,	,	PUNCT
aiti-13825	122	23	respectively	respectively	ADV
aiti-13825	122	24	.	.	PUNCT
aiti-13825	123	1	advances	advance	NOUN
aiti-13825	123	2	in	in	ADP
aiti-13825	123	3	technology	technology	NOUN
aiti-13825	123	4	innovation	innovation	NOUN
aiti-13825	123	5	,	,	PUNCT
aiti-13825	123	6	vol	vol	NOUN
aiti-13825	123	7	.	.	PROPN
aiti-13825	124	1	10	10	NUM
aiti-13825	124	2	,	,	PUNCT
aiti-13825	124	3	no	no	INTJ
aiti-13825	124	4	.	.	NOUN
aiti-13825	124	5	1	1	NUM
aiti-13825	124	6	,	,	PUNCT
aiti-13825	124	7	2025	2025	NUM
aiti-13825	124	8	,	,	PUNCT
aiti-13825	124	9	pp	pp	ADJ
aiti-13825	124	10	.	.	PUNCT
aiti-13825	125	1	58	58	NUM
aiti-13825	125	2	-	-	SYM
aiti-13825	125	3	71	71	NUM
aiti-13825	125	4	61	61	NUM
aiti-13825	125	5	table	table	NOUN
aiti-13825	125	6	1	1	NUM
aiti-13825	125	7	overview	overview	NOUN
aiti-13825	125	8	of	of	ADP
aiti-13825	125	9	studied	study	VERB
aiti-13825	125	10	articles	article	NOUN
aiti-13825	125	11	(	(	PUNCT
aiti-13825	125	12	continued	continued	ADJ
aiti-13825	125	13	)	)	PUNCT
aiti-13825	125	14	ref	ref	NOUN
aiti-13825	125	15	.	.	PUNCT
aiti-13825	126	1	models	model	NOUN
aiti-13825	126	2	remarks	remark	NOUN
aiti-13825	126	3	salhi	salhi	VERB
aiti-13825	126	4	et	et	PROPN
aiti-13825	126	5	al	al	PROPN
aiti-13825	126	6	.	.	PUNCT
aiti-13825	127	1	[	[	X
aiti-13825	127	2	13	13	NUM
aiti-13825	127	3	]	]	SYM
aiti-13825	127	4	three	three	NUM
aiti-13825	127	5	ml	ml	NOUN
aiti-13825	127	6	algorithms	algorithm	NOUN
aiti-13825	127	7	,	,	PUNCT
aiti-13825	127	8	knn	knn	PROPN
aiti-13825	127	9	,	,	PUNCT
aiti-13825	127	10	svm	svm	PROPN
aiti-13825	127	11	,	,	PUNCT
aiti-13825	127	12	and	and	CCONJ
aiti-13825	127	13	nn	nn	NOUN
aiti-13825	127	14	,	,	PUNCT
aiti-13825	127	15	are	be	AUX
aiti-13825	127	16	used	use	VERB
aiti-13825	127	17	on	on	ADP
aiti-13825	127	18	datasets	dataset	NOUN
aiti-13825	127	19	of	of	ADP
aiti-13825	127	20	different	different	ADJ
aiti-13825	127	21	sizes	size	NOUN
aiti-13825	127	22	(	(	PUNCT
aiti-13825	127	23	i.e.	i.e.	X
aiti-13825	127	24	,	,	PUNCT
aiti-13825	127	25	600	600	NUM
aiti-13825	127	26	,	,	PUNCT
aiti-13825	127	27	800	800	NUM
aiti-13825	127	28	,	,	PUNCT
aiti-13825	127	29	1,000	1,000	NUM
aiti-13825	127	30	,	,	PUNCT
aiti-13825	127	31	and	and	CCONJ
aiti-13825	127	32	1,200	1,200	NUM
aiti-13825	127	33	)	)	PUNCT
aiti-13825	127	34	.	.	PUNCT
aiti-13825	128	1	a	a	DET
aiti-13825	128	2	structured	structured	ADJ
aiti-13825	128	3	dataset	dataset	NOUN
aiti-13825	128	4	of	of	ADP
aiti-13825	128	5	algerian	algerian	ADJ
aiti-13825	128	6	hospitals	hospital	NOUN
aiti-13825	128	7	is	be	AUX
aiti-13825	128	8	used	use	VERB
aiti-13825	128	9	.	.	PUNCT
aiti-13825	129	1	(	(	PUNCT
aiti-13825	129	2	1	1	X
aiti-13825	129	3	)	)	PUNCT
aiti-13825	129	4	for	for	ADP
aiti-13825	129	5	1,200	1,200	NUM
aiti-13825	129	6	data	datum	NOUN
aiti-13825	129	7	records	record	NOUN
aiti-13825	129	8	,	,	PUNCT
aiti-13825	129	9	the	the	DET
aiti-13825	129	10	maximum	maximum	ADJ
aiti-13825	129	11	accuracy	accuracy	NOUN
aiti-13825	129	12	for	for	ADP
aiti-13825	129	13	nn	nn	PROPN
aiti-13825	129	14	was	be	AUX
aiti-13825	129	15	93	93	NUM
aiti-13825	129	16	%	%	NOUN
aiti-13825	129	17	,	,	PUNCT
aiti-13825	129	18	svm	svm	PROPN
aiti-13825	129	19	was	be	AUX
aiti-13825	129	20	90	90	NUM
aiti-13825	129	21	%	%	NOUN
aiti-13825	129	22	,	,	PUNCT
aiti-13825	129	23	and	and	CCONJ
aiti-13825	129	24	knn	knn	PROPN
aiti-13825	129	25	was	be	AUX
aiti-13825	129	26	85.5	85.5	NUM
aiti-13825	129	27	%	%	NOUN
aiti-13825	129	28	.	.	PUNCT
aiti-13825	130	1	(	(	PUNCT
aiti-13825	130	2	2	2	X
aiti-13825	130	3	)	)	PUNCT
aiti-13825	130	4	no	no	DET
aiti-13825	130	5	evaluation	evaluation	NOUN
aiti-13825	130	6	was	be	AUX
aiti-13825	130	7	presented	present	VERB
aiti-13825	130	8	for	for	ADP
aiti-13825	130	9	training	training	NOUN
aiti-13825	130	10	and	and	CCONJ
aiti-13825	130	11	testing	testing	NOUN
aiti-13825	130	12	sets	set	NOUN
aiti-13825	130	13	.	.	PUNCT
aiti-13825	131	1	(	(	PUNCT
aiti-13825	131	2	3	3	X
aiti-13825	131	3	)	)	PUNCT
aiti-13825	131	4	precision	precision	NOUN
aiti-13825	131	5	and	and	CCONJ
aiti-13825	131	6	f1	f1	NOUN
aiti-13825	131	7	-	-	PUNCT
aiti-13825	131	8	scores	score	NOUN
aiti-13825	131	9	are	be	AUX
aiti-13825	131	10	not	not	PART
aiti-13825	131	11	analyzed	analyze	VERB
aiti-13825	131	12	.	.	PUNCT
aiti-13825	132	1	burse	burse	PROPN
aiti-13825	132	2	et	et	PROPN
aiti-13825	132	3	al	al	PROPN
aiti-13825	132	4	.	.	PUNCT
aiti-13825	133	1	[	[	X
aiti-13825	133	2	14	14	NUM
aiti-13825	133	3	]	]	X
aiti-13825	133	4	mlpsnm	mlpsnm	PROPN
aiti-13825	133	5	is	be	AUX
aiti-13825	133	6	proposed	propose	VERB
aiti-13825	133	7	for	for	ADP
aiti-13825	133	8	the	the	DET
aiti-13825	133	9	uci	uci	PROPN
aiti-13825	133	10	ml	ml	AUX
aiti-13825	133	11	repository	repository	VERB
aiti-13825	133	12	with	with	ADP
aiti-13825	133	13	10	10	NUM
aiti-13825	133	14	-	-	ADJ
aiti-13825	133	15	fold	fold	ADJ
aiti-13825	133	16	cross	cross	NOUN
aiti-13825	133	17	-	-	NOUN
aiti-13825	133	18	validation	validation	NOUN
aiti-13825	133	19	.	.	PUNCT
aiti-13825	134	1	a	a	DET
aiti-13825	134	2	three	three	NUM
aiti-13825	134	3	-	-	PUNCT
aiti-13825	134	4	layer	layer	NOUN
aiti-13825	134	5	network	network	NOUN
aiti-13825	134	6	is	be	AUX
aiti-13825	134	7	used	use	VERB
aiti-13825	134	8	and	and	CCONJ
aiti-13825	134	9	,	,	PUNCT
aiti-13825	134	10	hence	hence	ADV
aiti-13825	134	11	,	,	PUNCT
aiti-13825	134	12	less	less	ADV
aiti-13825	134	13	complex	complex	ADJ
aiti-13825	134	14	.	.	PUNCT
aiti-13825	135	1	muhammad	muhammad	PROPN
aiti-13825	135	2	et	et	PROPN
aiti-13825	135	3	al	al	PROPN
aiti-13825	135	4	.	.	PUNCT
aiti-13825	136	1	[	[	X
aiti-13825	136	2	15	15	NUM
aiti-13825	136	3	]	]	X
aiti-13825	136	4	knn	knn	PROPN
aiti-13825	136	5	,	,	PUNCT
aiti-13825	136	6	rf	rf	PROPN
aiti-13825	136	7	,	,	PUNCT
aiti-13825	136	8	dt	dt	X
aiti-13825	136	9	,	,	PUNCT
aiti-13825	136	10	lr	lr	NOUN
aiti-13825	136	11	,	,	PUNCT
aiti-13825	136	12	and	and	CCONJ
aiti-13825	136	13	ann	ann	PROPN
aiti-13825	136	14	were	be	AUX
aiti-13825	136	15	presented	present	VERB
aiti-13825	136	16	.	.	PUNCT
aiti-13825	137	1	the	the	DET
aiti-13825	137	2	four	four	NUM
aiti-13825	137	3	distant	distant	ADJ
aiti-13825	137	4	feature	feature	NOUN
aiti-13825	137	5	techniques	technique	NOUN
aiti-13825	137	6	,	,	PUNCT
aiti-13825	137	7	lasso	lasso	NOUN
aiti-13825	137	8	,	,	PUNCT
aiti-13825	137	9	fcbf	fcbf	NOUN
aiti-13825	137	10	,	,	PUNCT
aiti-13825	137	11	relief	relief	NOUN
aiti-13825	137	12	,	,	PUNCT
aiti-13825	137	13	and	and	CCONJ
aiti-13825	137	14	mrmr	mrmr	PROPN
aiti-13825	137	15	,	,	PUNCT
aiti-13825	137	16	were	be	AUX
aiti-13825	137	17	tested	test	VERB
aiti-13825	137	18	.	.	PUNCT
aiti-13825	138	1	(	(	PUNCT
aiti-13825	138	2	1	1	X
aiti-13825	138	3	)	)	PUNCT
aiti-13825	138	4	the	the	DET
aiti-13825	138	5	success	success	NOUN
aiti-13825	138	6	rate	rate	NOUN
aiti-13825	138	7	is	be	AUX
aiti-13825	138	8	85	85	NUM
aiti-13825	138	9	%	%	NOUN
aiti-13825	138	10	for	for	ADP
aiti-13825	138	11	ann	ann	PROPN
aiti-13825	138	12	and	and	CCONJ
aiti-13825	138	13	85.55	85.55	NUM
aiti-13825	138	14	%	%	NOUN
aiti-13825	138	15	for	for	ADP
aiti-13825	138	16	knn	knn	PROPN
aiti-13825	138	17	.	.	PUNCT
aiti-13825	139	1	(	(	PUNCT
aiti-13825	139	2	2	2	X
aiti-13825	139	3	)	)	PUNCT
aiti-13825	139	4	relief	relief	NOUN
aiti-13825	139	5	features	feature	NOUN
aiti-13825	139	6	were	be	AUX
aiti-13825	139	7	found	find	VERB
aiti-13825	139	8	to	to	PART
aiti-13825	139	9	be	be	AUX
aiti-13825	139	10	better	well	ADJ
aiti-13825	139	11	in	in	ADP
aiti-13825	139	12	comparison	comparison	NOUN
aiti-13825	139	13	to	to	ADP
aiti-13825	139	14	other	other	ADJ
aiti-13825	139	15	techniques	technique	NOUN
aiti-13825	139	16	.	.	PUNCT
aiti-13825	140	1	jabbar	jabbar	PROPN
aiti-13825	140	2	et	et	PROPN
aiti-13825	140	3	al	al	PROPN
aiti-13825	140	4	.	.	PUNCT
aiti-13825	141	1	[	[	X
aiti-13825	141	2	27	27	NUM
aiti-13825	141	3	]	]	PUNCT
aiti-13825	141	4	weighted	weight	VERB
aiti-13825	141	5	association	association	NOUN
aiti-13825	141	6	rule	rule	NOUN
aiti-13825	141	7	mining	mining	NOUN
aiti-13825	141	8	and	and	CCONJ
aiti-13825	141	9	a	a	DET
aiti-13825	141	10	graphbased	graphbased	ADJ
aiti-13825	141	11	methodology	methodology	NOUN
aiti-13825	141	12	were	be	AUX
aiti-13825	141	13	used	use	VERB
aiti-13825	141	14	.	.	PUNCT
aiti-13825	142	1	a	a	DET
aiti-13825	142	2	subjective	subjective	ADJ
aiti-13825	142	3	rule	rule	NOUN
aiti-13825	142	4	-	-	PUNCT
aiti-13825	142	5	based	base	VERB
aiti-13825	142	6	association	association	NOUN
aiti-13825	142	7	using	use	VERB
aiti-13825	142	8	age	age	NOUN
aiti-13825	142	9	,	,	PUNCT
aiti-13825	142	10	gender	gender	NOUN
aiti-13825	142	11	,	,	PUNCT
aiti-13825	142	12	and	and	CCONJ
aiti-13825	142	13	bp	bp	PROPN
aiti-13825	142	14	.	.	PUNCT
aiti-13825	142	15	prediction	prediction	NOUN
aiti-13825	142	16	accuracy	accuracy	NOUN
aiti-13825	142	17	is	be	AUX
aiti-13825	142	18	not	not	PART
aiti-13825	142	19	presented	present	VERB
aiti-13825	142	20	.	.	PUNCT
aiti-13825	143	1	proposed	propose	VERB
aiti-13825	143	2	approach	approach	NOUN
aiti-13825	143	3	an	an	DET
aiti-13825	143	4	ensemble	ensemble	ADJ
aiti-13825	143	5	approach	approach	NOUN
aiti-13825	143	6	of	of	ADP
aiti-13825	143	7	eight	eight	NUM
aiti-13825	143	8	ml	ml	NOUN
aiti-13825	143	9	is	be	AUX
aiti-13825	143	10	validated	validate	VERB
aiti-13825	143	11	using	use	VERB
aiti-13825	143	12	a	a	DET
aiti-13825	143	13	heart	heart	NOUN
aiti-13825	143	14	disease	disease	NOUN
aiti-13825	143	15	prediction	prediction	NOUN
aiti-13825	143	16	dataset	dataset	VERB
aiti-13825	143	17	from	from	ADP
aiti-13825	143	18	the	the	DET
aiti-13825	143	19	uci	uci	PROPN
aiti-13825	143	20	machine	machine	NOUN
aiti-13825	143	21	repository	repository	NOUN
aiti-13825	143	22	.	.	PUNCT
aiti-13825	144	1	rfe	rfe	PROPN
aiti-13825	144	2	employs	employ	VERB
aiti-13825	144	3	a	a	DET
aiti-13825	144	4	feature	feature	NOUN
aiti-13825	144	5	reduction	reduction	NOUN
aiti-13825	144	6	technique	technique	NOUN
aiti-13825	144	7	.	.	PUNCT
aiti-13825	145	1	the	the	DET
aiti-13825	145	2	model	model	NOUN
aiti-13825	145	3	succeeded	succeed	VERB
aiti-13825	145	4	with	with	ADP
aiti-13825	145	5	93.15	93.15	NUM
aiti-13825	145	6	%	%	NOUN
aiti-13825	145	7	accuracy	accuracy	NOUN
aiti-13825	145	8	,	,	PUNCT
aiti-13825	145	9	with	with	ADP
aiti-13825	145	10	six	six	NUM
aiti-13825	145	11	features	feature	NOUN
aiti-13825	145	12	out	out	ADP
aiti-13825	145	13	of	of	ADP
aiti-13825	145	14	14	14	NUM
aiti-13825	145	15	.	.	PUNCT
aiti-13825	146	1	this	this	DET
aiti-13825	146	2	study	study	NOUN
aiti-13825	146	3	identified	identify	VERB
aiti-13825	146	4	several	several	ADJ
aiti-13825	146	5	limitations	limitation	NOUN
aiti-13825	146	6	.	.	PUNCT
aiti-13825	147	1	first	first	ADV
aiti-13825	147	2	,	,	PUNCT
aiti-13825	147	3	the	the	DET
aiti-13825	147	4	models	model	NOUN
aiti-13825	147	5	were	be	AUX
aiti-13825	147	6	trained	train	VERB
aiti-13825	147	7	on	on	ADP
aiti-13825	147	8	small	small	ADJ
aiti-13825	147	9	,	,	PUNCT
aiti-13825	147	10	specific	specific	ADJ
aiti-13825	147	11	datasets	dataset	NOUN
aiti-13825	147	12	,	,	PUNCT
aiti-13825	147	13	limiting	limit	VERB
aiti-13825	147	14	their	their	PRON
aiti-13825	147	15	broader	broad	ADJ
aiti-13825	147	16	applicability	applicability	NOUN
aiti-13825	147	17	across	across	ADP
aiti-13825	147	18	diverse	diverse	ADJ
aiti-13825	147	19	populations	population	NOUN
aiti-13825	147	20	.	.	PUNCT
aiti-13825	148	1	second	second	ADJ
aiti-13825	148	2	,	,	PUNCT
aiti-13825	148	3	while	while	SCONJ
aiti-13825	148	4	effective	effective	ADJ
aiti-13825	148	5	,	,	PUNCT
aiti-13825	148	6	the	the	DET
aiti-13825	148	7	hybrid	hybrid	ADJ
aiti-13825	148	8	ensemble	ensemble	ADJ
aiti-13825	148	9	approach	approach	NOUN
aiti-13825	148	10	is	be	AUX
aiti-13825	148	11	complex	complex	ADJ
aiti-13825	148	12	and	and	CCONJ
aiti-13825	148	13	resourceintensive	resourceintensive	NOUN
aiti-13825	148	14	,	,	PUNCT
aiti-13825	148	15	making	make	VERB
aiti-13825	148	16	it	it	PRON
aiti-13825	148	17	unsuitable	unsuitable	ADJ
aiti-13825	148	18	for	for	ADP
aiti-13825	148	19	real	real	ADJ
aiti-13825	148	20	-	-	PUNCT
aiti-13825	148	21	time	time	NOUN
aiti-13825	148	22	or	or	CCONJ
aiti-13825	148	23	resource	resource	NOUN
aiti-13825	148	24	-	-	PUNCT
aiti-13825	148	25	limited	limit	VERB
aiti-13825	148	26	settings	setting	NOUN
aiti-13825	148	27	.	.	PUNCT
aiti-13825	149	1	third	third	ADV
aiti-13825	149	2	,	,	PUNCT
aiti-13825	149	3	the	the	DET
aiti-13825	149	4	model	model	NOUN
aiti-13825	149	5	’s	’s	PART
aiti-13825	149	6	performance	performance	NOUN
aiti-13825	149	7	heavily	heavily	ADV
aiti-13825	149	8	relies	rely	VERB
aiti-13825	149	9	on	on	ADP
aiti-13825	149	10	feature	feature	NOUN
aiti-13825	149	11	selection	selection	NOUN
aiti-13825	149	12	,	,	PUNCT
aiti-13825	149	13	which	which	PRON
aiti-13825	149	14	may	may	AUX
aiti-13825	149	15	not	not	PART
aiti-13825	149	16	always	always	ADV
aiti-13825	149	17	identify	identify	VERB
aiti-13825	149	18	the	the	DET
aiti-13825	149	19	most	most	ADV
aiti-13825	149	20	relevant	relevant	ADJ
aiti-13825	149	21	features	feature	NOUN
aiti-13825	149	22	.	.	PUNCT
aiti-13825	150	1	lastly	lastly	ADV
aiti-13825	150	2	,	,	PUNCT
aiti-13825	150	3	the	the	DET
aiti-13825	150	4	high	high	ADJ
aiti-13825	150	5	accuracy	accuracy	NOUN
aiti-13825	150	6	raises	raise	VERB
aiti-13825	150	7	concerns	concern	NOUN
aiti-13825	150	8	about	about	ADP
aiti-13825	150	9	overfitting	overfitte	VERB
aiti-13825	150	10	due	due	ADP
aiti-13825	150	11	to	to	ADP
aiti-13825	150	12	the	the	DET
aiti-13825	150	13	small	small	ADJ
aiti-13825	150	14	dataset	dataset	NOUN
aiti-13825	150	15	and	and	CCONJ
aiti-13825	150	16	extensive	extensive	ADJ
aiti-13825	150	17	tuning	tuning	NOUN
aiti-13825	150	18	.	.	PUNCT
aiti-13825	151	1	future	future	ADJ
aiti-13825	151	2	work	work	NOUN
aiti-13825	151	3	should	should	AUX
aiti-13825	151	4	focus	focus	VERB
aiti-13825	151	5	on	on	ADP
aiti-13825	151	6	larger	large	ADJ
aiti-13825	151	7	datasets	dataset	NOUN
aiti-13825	151	8	,	,	PUNCT
aiti-13825	151	9	simplifying	simplify	VERB
aiti-13825	151	10	models	model	NOUN
aiti-13825	151	11	,	,	PUNCT
aiti-13825	151	12	and	and	CCONJ
aiti-13825	151	13	improving	improve	VERB
aiti-13825	151	14	feature	feature	NOUN
aiti-13825	151	15	selection	selection	NOUN
aiti-13825	151	16	methods	method	NOUN
aiti-13825	151	17	.	.	PUNCT
aiti-13825	152	1	3	3	X
aiti-13825	152	2	.	.	X
aiti-13825	152	3	dataset	dataset	VERB
aiti-13825	152	4	description	description	NOUN
aiti-13825	152	5	medical	medical	ADJ
aiti-13825	152	6	data	datum	NOUN
aiti-13825	152	7	collection	collection	NOUN
aiti-13825	152	8	is	be	AUX
aiti-13825	152	9	challenging	challenge	VERB
aiti-13825	152	10	due	due	ADJ
aiti-13825	152	11	to	to	ADP
aiti-13825	152	12	privacy	privacy	NOUN
aiti-13825	152	13	and	and	CCONJ
aiti-13825	152	14	security	security	NOUN
aiti-13825	152	15	concerns	concern	NOUN
aiti-13825	152	16	.	.	PUNCT
aiti-13825	153	1	common	common	ADJ
aiti-13825	153	2	heart	heart	NOUN
aiti-13825	153	3	disease	disease	NOUN
aiti-13825	153	4	prediction	prediction	NOUN
aiti-13825	153	5	benchmarks	benchmark	NOUN
aiti-13825	153	6	include	include	VERB
aiti-13825	153	7	publicly	publicly	ADV
aiti-13825	153	8	available	available	ADJ
aiti-13825	153	9	datasets	dataset	NOUN
aiti-13825	153	10	like	like	ADP
aiti-13825	153	11	the	the	DET
aiti-13825	153	12	uci	uci	PROPN
aiti-13825	153	13	repository	repository	NOUN
aiti-13825	153	14	.	.	PUNCT
aiti-13825	154	1	this	this	DET
aiti-13825	154	2	study	study	NOUN
aiti-13825	154	3	uses	use	VERB
aiti-13825	154	4	the	the	DET
aiti-13825	154	5	uci	uci	PROPN
aiti-13825	154	6	heart	heart	NOUN
aiti-13825	154	7	disease	disease	NOUN
aiti-13825	154	8	dataset	dataset	VERB
aiti-13825	155	1	[	[	PUNCT
aiti-13825	155	2	7	7	NUM
aiti-13825	155	3	]	]	PUNCT
aiti-13825	155	4	,	,	PUNCT
aiti-13825	155	5	which	which	PRON
aiti-13825	155	6	has	have	VERB
aiti-13825	155	7	304	304	NUM
aiti-13825	155	8	records	record	NOUN
aiti-13825	155	9	and	and	CCONJ
aiti-13825	155	10	14	14	NUM
aiti-13825	155	11	features	feature	NOUN
aiti-13825	155	12	and	and	CCONJ
aiti-13825	155	13	was	be	AUX
aiti-13825	155	14	reduced	reduce	VERB
aiti-13825	155	15	to	to	ADP
aiti-13825	155	16	297	297	NUM
aiti-13825	155	17	records	record	NOUN
aiti-13825	155	18	after	after	ADP
aiti-13825	155	19	removing	remove	VERB
aiti-13825	155	20	missing	missing	ADJ
aiti-13825	155	21	values	value	NOUN
aiti-13825	155	22	.	.	PUNCT
aiti-13825	156	1	the	the	DET
aiti-13825	156	2	dataset	dataset	NOUN
aiti-13825	156	3	aims	aim	VERB
aiti-13825	156	4	to	to	PART
aiti-13825	156	5	classify	classify	VERB
aiti-13825	156	6	heart	heart	NOUN
aiti-13825	156	7	disease	disease	NOUN
aiti-13825	156	8	as	as	ADP
aiti-13825	156	9	positive	positive	ADJ
aiti-13825	156	10	or	or	CCONJ
aiti-13825	156	11	negative	negative	ADJ
aiti-13825	156	12	,	,	PUNCT
aiti-13825	156	13	posing	pose	VERB
aiti-13825	156	14	a	a	DET
aiti-13825	156	15	binary	binary	ADJ
aiti-13825	156	16	classification	classification	NOUN
aiti-13825	156	17	challenge	challenge	NOUN
aiti-13825	156	18	.	.	PUNCT
aiti-13825	157	1	the	the	DET
aiti-13825	157	2	following	follow	VERB
aiti-13825	157	3	sections	section	NOUN
aiti-13825	157	4	focus	focus	VERB
aiti-13825	157	5	on	on	ADP
aiti-13825	157	6	developing	develop	VERB
aiti-13825	157	7	and	and	CCONJ
aiti-13825	157	8	optimizing	optimize	VERB
aiti-13825	157	9	ml	ml	NOUN
aiti-13825	157	10	models	model	NOUN
aiti-13825	157	11	for	for	ADP
aiti-13825	157	12	accurate	accurate	ADJ
aiti-13825	157	13	heart	heart	NOUN
aiti-13825	157	14	disease	disease	NOUN
aiti-13825	157	15	prediction	prediction	NOUN
aiti-13825	157	16	.	.	PUNCT
aiti-13825	158	1	table	table	NOUN
aiti-13825	158	2	2	2	NUM
aiti-13825	158	3	describes	describe	VERB
aiti-13825	158	4	the	the	DET
aiti-13825	158	5	14	14	NUM
aiti-13825	158	6	attributes	attribute	NOUN
aiti-13825	158	7	.	.	PUNCT
aiti-13825	159	1	3.1	3.1	NUM
aiti-13825	159	2	.	.	PUNCT
aiti-13825	160	1	data	datum	NOUN
aiti-13825	160	2	pre	pre	ADJ
aiti-13825	160	3	-	-	ADJ
aiti-13825	160	4	processing	processing	ADJ
aiti-13825	160	5	accurate	accurate	ADJ
aiti-13825	160	6	data	datum	NOUN
aiti-13825	160	7	pre	pre	ADJ
aiti-13825	160	8	-	-	ADJ
aiti-13825	160	9	processing	processing	NOUN
aiti-13825	160	10	is	be	AUX
aiti-13825	160	11	essential	essential	ADJ
aiti-13825	160	12	,	,	PUNCT
aiti-13825	160	13	as	as	SCONJ
aiti-13825	160	14	unprocessed	unprocesse	VERB
aiti-13825	160	15	data	datum	NOUN
aiti-13825	160	16	can	can	AUX
aiti-13825	160	17	weaken	weaken	VERB
aiti-13825	160	18	ml	ml	NOUN
aiti-13825	160	19	models	model	NOUN
aiti-13825	160	20	.	.	PUNCT
aiti-13825	161	1	in	in	ADP
aiti-13825	161	2	this	this	DET
aiti-13825	161	3	study	study	NOUN
aiti-13825	161	4	,	,	PUNCT
aiti-13825	161	5	missing	miss	VERB
aiti-13825	161	6	records	record	NOUN
aiti-13825	161	7	were	be	AUX
aiti-13825	161	8	removed	remove	VERB
aiti-13825	161	9	,	,	PUNCT
aiti-13825	161	10	and	and	CCONJ
aiti-13825	161	11	features	feature	NOUN
aiti-13825	161	12	were	be	AUX
aiti-13825	161	13	standardized	standardize	VERB
aiti-13825	161	14	for	for	ADP
aiti-13825	161	15	comparability	comparability	NOUN
aiti-13825	161	16	and	and	CCONJ
aiti-13825	161	17	improved	improved	ADJ
aiti-13825	161	18	performance	performance	NOUN
aiti-13825	161	19	.	.	PUNCT
aiti-13825	162	1	a	a	DET
aiti-13825	162	2	detailed	detailed	ADJ
aiti-13825	162	3	dataset	dataset	NOUN
aiti-13825	162	4	analysis	analysis	NOUN
aiti-13825	162	5	is	be	AUX
aiti-13825	162	6	conducted	conduct	VERB
aiti-13825	162	7	,	,	PUNCT
aiti-13825	162	8	with	with	ADP
aiti-13825	162	9	the	the	DET
aiti-13825	162	10	features	feature	NOUN
aiti-13825	162	11	described	describe	VERB
aiti-13825	162	12	in	in	ADP
aiti-13825	162	13	table	table	NOUN
aiti-13825	162	14	2	2	NUM
aiti-13825	162	15	.	.	PUNCT
aiti-13825	162	16	standardization	standardization	NOUN
aiti-13825	162	17	eliminates	eliminate	VERB
aiti-13825	162	18	the	the	DET
aiti-13825	162	19	mean	mean	ADJ
aiti-13825	162	20	and	and	CCONJ
aiti-13825	162	21	scaled	scale	VERB
aiti-13825	162	22	-	-	PUNCT
aiti-13825	162	23	to	to	ADP
aiti-13825	162	24	-	-	PUNCT
aiti-13825	162	25	unit	unit	NOUN
aiti-13825	162	26	variance	variance	NOUN
aiti-13825	162	27	and	and	CCONJ
aiti-13825	162	28	aligns	align	VERB
aiti-13825	162	29	features	feature	NOUN
aiti-13825	162	30	with	with	ADP
aiti-13825	162	31	a	a	DET
aiti-13825	162	32	standard	standard	ADJ
aiti-13825	162	33	normal	normal	ADJ
aiti-13825	162	34	distribution	distribution	NOUN
aiti-13825	162	35	,	,	PUNCT
aiti-13825	162	36	enhancing	enhance	VERB
aiti-13825	162	37	the	the	DET
aiti-13825	162	38	performance	performance	NOUN
aiti-13825	162	39	of	of	ADP
aiti-13825	162	40	many	many	ADJ
aiti-13825	162	41	ml	ml	NOUN
aiti-13825	162	42	algorithms	algorithm	NOUN
aiti-13825	162	43	.	.	PUNCT
aiti-13825	163	1	this	this	DET
aiti-13825	163	2	refined	refined	ADJ
aiti-13825	163	3	dataset	dataset	NOUN
aiti-13825	163	4	will	will	AUX
aiti-13825	163	5	be	be	AUX
aiti-13825	163	6	used	use	VERB
aiti-13825	163	7	to	to	PART
aiti-13825	163	8	develop	develop	VERB
aiti-13825	163	9	and	and	CCONJ
aiti-13825	163	10	optimize	optimize	VERB
aiti-13825	163	11	heart	heart	NOUN
aiti-13825	163	12	disease	disease	NOUN
aiti-13825	163	13	prediction	prediction	NOUN
aiti-13825	163	14	models	model	NOUN
aiti-13825	163	15	.	.	PUNCT
aiti-13825	164	1	table	table	NOUN
aiti-13825	164	2	2	2	NUM
aiti-13825	164	3	feature	feature	NOUN
aiti-13825	164	4	description	description	NOUN
aiti-13825	164	5	#	#	NOUN
aiti-13825	164	6	feature	feature	NOUN
aiti-13825	164	7	feature	feature	NOUN
aiti-13825	164	8	description	description	NOUN
aiti-13825	164	9	non	non	ADJ
aiti-13825	164	10	-	-	ADJ
aiti-13825	164	11	null	null	ADJ
aiti-13825	164	12	count	count	NOUN
aiti-13825	164	13	data	datum	NOUN
aiti-13825	164	14	type	type	NOUN
aiti-13825	164	15	0	0	NUM
aiti-13825	164	16	age	age	NOUN
aiti-13825	164	17	age	age	NOUN
aiti-13825	164	18	of	of	ADP
aiti-13825	164	19	the	the	DET
aiti-13825	164	20	patient	patient	NOUN
aiti-13825	164	21	.	.	PUNCT
aiti-13825	165	1	304	304	NUM
aiti-13825	165	2	int64	int64	PROPN
aiti-13825	165	3	1	1	NUM
aiti-13825	165	4	sex	sex	NOUN
aiti-13825	165	5	gender	gender	NOUN
aiti-13825	165	6	of	of	ADP
aiti-13825	165	7	the	the	DET
aiti-13825	165	8	patient	patient	NOUN
aiti-13825	165	9	.	.	PUNCT
aiti-13825	166	1	304	304	NUM
aiti-13825	166	2	int64	int64	PROPN
aiti-13825	166	3	2	2	NUM
aiti-13825	166	4	cp	cp	NOUN
aiti-13825	166	5	categorizes	categorize	VERB
aiti-13825	166	6	chest	chest	NOUN
aiti-13825	166	7	pain	pain	NOUN
aiti-13825	166	8	into	into	ADP
aiti-13825	166	9	four	four	NUM
aiti-13825	166	10	types	type	NOUN
aiti-13825	166	11	:	:	PUNCT
aiti-13825	166	12	1	1	NUM
aiti-13825	166	13	for	for	ADP
aiti-13825	166	14	typical	typical	ADJ
aiti-13825	166	15	angina	angina	NOUN
aiti-13825	166	16	,	,	PUNCT
aiti-13825	166	17	2	2	NUM
aiti-13825	166	18	for	for	ADP
aiti-13825	166	19	atypical	atypical	ADJ
aiti-13825	166	20	angina	angina	NOUN
aiti-13825	166	21	,	,	PUNCT
aiti-13825	166	22	3	3	NUM
aiti-13825	166	23	for	for	ADP
aiti-13825	166	24	non	non	ADJ
aiti-13825	166	25	-	-	ADJ
aiti-13825	166	26	anginal	anginal	ADJ
aiti-13825	166	27	pain	pain	NOUN
aiti-13825	166	28	,	,	PUNCT
aiti-13825	166	29	and	and	CCONJ
aiti-13825	166	30	4	4	NUM
aiti-13825	166	31	for	for	ADP
aiti-13825	166	32	asymptomatic	asymptomatic	NOUN
aiti-13825	166	33	.	.	PUNCT
aiti-13825	167	1	304	304	NUM
aiti-13825	167	2	int64	int64	PROPN
aiti-13825	167	3	3	3	NUM
aiti-13825	167	4	trestbps	trestbps	NOUN
aiti-13825	167	5	denotes	denote	VERB
aiti-13825	167	6	blood	blood	NOUN
aiti-13825	167	7	pressure	pressure	NOUN
aiti-13825	167	8	at	at	ADP
aiti-13825	167	9	rest	rest	NOUN
aiti-13825	167	10	(	(	PUNCT
aiti-13825	167	11	mm	mm	PROPN
aiti-13825	167	12	hg	hg	NOUN
aiti-13825	167	13	)	)	PUNCT
aiti-13825	167	14	at	at	ADP
aiti-13825	167	15	hospital	hospital	NOUN
aiti-13825	167	16	admission	admission	NOUN
aiti-13825	167	17	.	.	PUNCT
aiti-13825	168	1	304	304	NUM
aiti-13825	168	2	int64	int64	PROPN
aiti-13825	168	3	advances	advance	VERB
aiti-13825	168	4	in	in	ADP
aiti-13825	168	5	technology	technology	NOUN
aiti-13825	168	6	innovation	innovation	NOUN
aiti-13825	168	7	,	,	PUNCT
aiti-13825	168	8	vol	vol	NOUN
aiti-13825	168	9	.	.	PROPN
aiti-13825	169	1	10	10	NUM
aiti-13825	169	2	,	,	PUNCT
aiti-13825	169	3	no	no	INTJ
aiti-13825	169	4	.	.	NOUN
aiti-13825	169	5	1	1	NUM
aiti-13825	169	6	,	,	PUNCT
aiti-13825	169	7	2025	2025	NUM
aiti-13825	169	8	,	,	PUNCT
aiti-13825	169	9	pp	pp	ADJ
aiti-13825	169	10	.	.	PUNCT
aiti-13825	170	1	58	58	NUM
aiti-13825	170	2	-	-	SYM
aiti-13825	170	3	71	71	NUM
aiti-13825	170	4	62	62	NUM
aiti-13825	170	5	table	table	NOUN
aiti-13825	170	6	2	2	NUM
aiti-13825	170	7	feature	feature	NOUN
aiti-13825	170	8	description	description	NOUN
aiti-13825	170	9	(	(	PUNCT
aiti-13825	170	10	continued	continued	ADJ
aiti-13825	170	11	)	)	PUNCT
aiti-13825	170	12	#	#	NOUN
aiti-13825	170	13	feature	feature	NOUN
aiti-13825	170	14	feature	feature	NOUN
aiti-13825	170	15	description	description	NOUN
aiti-13825	170	16	non	non	ADJ
aiti-13825	170	17	-	-	ADJ
aiti-13825	170	18	null	null	ADJ
aiti-13825	170	19	count	count	NOUN
aiti-13825	170	20	data	datum	NOUN
aiti-13825	170	21	type	type	NOUN
aiti-13825	170	22	4	4	NUM
aiti-13825	170	23	chol	chol	NOUN
aiti-13825	170	24	defines	define	VERB
aiti-13825	170	25	the	the	DET
aiti-13825	170	26	serum	serum	NOUN
aiti-13825	170	27	cholesterol	cholesterol	NOUN
aiti-13825	170	28	level	level	NOUN
aiti-13825	170	29	in	in	ADP
aiti-13825	170	30	mg	mg	PROPN
aiti-13825	170	31	/	/	SYM
aiti-13825	170	32	dl	dl	PROPN
aiti-13825	170	33	.	.	PROPN
aiti-13825	170	34	304	304	NUM
aiti-13825	170	35	int64	int64	PROPN
aiti-13825	170	36	5	5	NUM
aiti-13825	170	37	fbs	fbs	PROPN
aiti-13825	170	38	indicates	indicate	VERB
aiti-13825	170	39	fasting	fast	VERB
aiti-13825	170	40	blood	blood	NOUN
aiti-13825	170	41	sugar	sugar	NOUN
aiti-13825	170	42	level	level	NOUN
aiti-13825	170	43	,	,	PUNCT
aiti-13825	170	44	with	with	ADP
aiti-13825	170	45	1	1	NUM
aiti-13825	170	46	for	for	ADP
aiti-13825	170	47	true	true	ADJ
aiti-13825	170	48	and	and	CCONJ
aiti-13825	170	49	0	0	NUM
aiti-13825	170	50	for	for	ADP
aiti-13825	170	51	false	false	ADJ
aiti-13825	170	52	(	(	PUNCT
aiti-13825	170	53	if	if	SCONJ
aiti-13825	170	54	greater	great	ADJ
aiti-13825	170	55	than	than	ADP
aiti-13825	170	56	120	120	NUM
aiti-13825	170	57	mg	mg	PROPN
aiti-13825	170	58	/	/	SYM
aiti-13825	170	59	dl	dl	PROPN
aiti-13825	170	60	)	)	PUNCT
aiti-13825	170	61	.	.	PUNCT
aiti-13825	171	1	304	304	NUM
aiti-13825	171	2	int64	int64	PROPN
aiti-13825	171	3	6	6	NUM
aiti-13825	171	4	restecg	restecg	PROPN
aiti-13825	171	5	describes	describe	VERB
aiti-13825	171	6	restecg	restecg	PROPN
aiti-13825	171	7	,	,	PUNCT
aiti-13825	171	8	with	with	ADP
aiti-13825	171	9	0	0	NUM
aiti-13825	171	10	for	for	ADP
aiti-13825	171	11	normal	normal	ADJ
aiti-13825	171	12	,	,	PUNCT
aiti-13825	171	13	1	1	NUM
aiti-13825	171	14	for	for	ADP
aiti-13825	171	15	abnormal	abnormal	ADJ
aiti-13825	171	16	st	st	PROPN
aiti-13825	171	17	-	-	PUNCT
aiti-13825	171	18	t	t	PROPN
aiti-13825	171	19	wave	wave	NOUN
aiti-13825	171	20	,	,	PUNCT
aiti-13825	171	21	and	and	CCONJ
aiti-13825	171	22	2	2	NUM
aiti-13825	171	23	for	for	ADP
aiti-13825	171	24	left	left	ADJ
aiti-13825	171	25	ventricular	ventricular	ADJ
aiti-13825	171	26	hypertrophy	hypertrophy	NOUN
aiti-13825	171	27	meeting	meeting	NOUN
aiti-13825	171	28	estes	este	VERB
aiti-13825	171	29	criteria	criterion	NOUN
aiti-13825	171	30	.	.	PUNCT
aiti-13825	172	1	304	304	NUM
aiti-13825	172	2	int64	int64	PROPN
aiti-13825	172	3	7	7	NUM
aiti-13825	172	4	thalach	thalach	NOUN
aiti-13825	172	5	represents	represent	VERB
aiti-13825	172	6	the	the	DET
aiti-13825	172	7	highest	high	ADJ
aiti-13825	172	8	heart	heart	NOUN
aiti-13825	172	9	rate	rate	NOUN
aiti-13825	172	10	possible	possible	ADJ
aiti-13825	172	11	in	in	ADP
aiti-13825	172	12	beats	beat	NOUN
aiti-13825	172	13	per	per	ADP
aiti-13825	172	14	minute	minute	NOUN
aiti-13825	172	15	(	(	PUNCT
aiti-13825	172	16	bpm	bpm	NOUN
aiti-13825	172	17	)	)	PUNCT
aiti-13825	172	18	.	.	PUNCT
aiti-13825	173	1	304	304	NUM
aiti-13825	173	2	int64	int64	PROPN
aiti-13825	173	3	8	8	PROPN
aiti-13825	173	4	exang	exang	PROPN
aiti-13825	173	5	indicates	indicate	VERB
aiti-13825	173	6	exercise	exercise	NOUN
aiti-13825	173	7	-	-	PUNCT
aiti-13825	173	8	induced	induce	VERB
aiti-13825	173	9	angina	angina	NOUN
aiti-13825	173	10	(	(	PUNCT
aiti-13825	173	11	exang	exang	PROPN
aiti-13825	173	12	)	)	PUNCT
aiti-13825	173	13	,	,	PUNCT
aiti-13825	173	14	with	with	ADP
aiti-13825	173	15	1	1	NUM
aiti-13825	173	16	for	for	ADP
aiti-13825	173	17	present	present	ADJ
aiti-13825	173	18	and	and	CCONJ
aiti-13825	173	19	0	0	NUM
aiti-13825	173	20	for	for	ADP
aiti-13825	173	21	absent	absent	ADJ
aiti-13825	173	22	.	.	PUNCT
aiti-13825	174	1	304	304	NUM
aiti-13825	174	2	int64	int64	PROPN
aiti-13825	174	3	9	9	NUM
aiti-13825	174	4	oldpeak	oldpeak	NOUN
aiti-13825	174	5	explains	explain	VERB
aiti-13825	174	6	the	the	DET
aiti-13825	174	7	st	st	PROPN
aiti-13825	174	8	depression	depression	NOUN
aiti-13825	174	9	brought	bring	VERB
aiti-13825	174	10	on	on	ADP
aiti-13825	174	11	by	by	ADP
aiti-13825	174	12	exercise	exercise	NOUN
aiti-13825	174	13	in	in	ADP
aiti-13825	174	14	comparison	comparison	NOUN
aiti-13825	174	15	to	to	PART
aiti-13825	174	16	rest	rest	VERB
aiti-13825	174	17	304	304	NUM
aiti-13825	174	18	float64	float64	PROPN
aiti-13825	174	19	10	10	NUM
aiti-13825	174	20	slope	slope	NOUN
aiti-13825	174	21	emphasizes	emphasize	VERB
aiti-13825	174	22	the	the	DET
aiti-13825	174	23	steepest	steep	ADJ
aiti-13825	174	24	portion	portion	NOUN
aiti-13825	174	25	of	of	ADP
aiti-13825	174	26	the	the	DET
aiti-13825	174	27	exercise	exercise	NOUN
aiti-13825	174	28	st	st	PROPN
aiti-13825	174	29	segment	segment	PROPN
aiti-13825	174	30	,	,	PUNCT
aiti-13825	174	31	with	with	ADP
aiti-13825	174	32	1	1	NUM
aiti-13825	174	33	for	for	ADP
aiti-13825	174	34	upslope	upslope	NOUN
aiti-13825	174	35	,	,	PUNCT
aiti-13825	174	36	2	2	NUM
aiti-13825	174	37	for	for	ADP
aiti-13825	174	38	flat	flat	ADJ
aiti-13825	174	39	,	,	PUNCT
aiti-13825	174	40	and	and	CCONJ
aiti-13825	174	41	3	3	NUM
aiti-13825	174	42	for	for	ADP
aiti-13825	174	43	downslope	downslope	NOUN
aiti-13825	174	44	.	.	PUNCT
aiti-13825	175	1	304	304	NUM
aiti-13825	175	2	int64	int64	PROPN
aiti-13825	175	3	11	11	NUM
aiti-13825	175	4	ca	can	AUX
aiti-13825	175	5	describes	describe	VERB
aiti-13825	175	6	the	the	DET
aiti-13825	175	7	count	count	NOUN
aiti-13825	175	8	of	of	ADP
aiti-13825	175	9	major	major	ADJ
aiti-13825	175	10	vessels	vessel	NOUN
aiti-13825	175	11	(	(	PUNCT
aiti-13825	175	12	0–3	0–3	NOUN
aiti-13825	175	13	)	)	PUNCT
aiti-13825	175	14	in	in	ADP
aiti-13825	175	15	fluorescence	fluorescence	NOUN
aiti-13825	175	16	.	.	PUNCT
aiti-13825	176	1	304	304	NUM
aiti-13825	176	2	int64	int64	PROPN
aiti-13825	176	3	12	12	NUM
aiti-13825	176	4	thal	thal	NOUN
aiti-13825	176	5	represents	represent	VERB
aiti-13825	176	6	the	the	DET
aiti-13825	176	7	thalassemia	thalassemia	NOUN
aiti-13825	176	8	category	category	NOUN
aiti-13825	176	9	,	,	PUNCT
aiti-13825	176	10	with	with	ADP
aiti-13825	176	11	3	3	NUM
aiti-13825	176	12	for	for	ADP
aiti-13825	176	13	normal	normal	ADJ
aiti-13825	176	14	,	,	PUNCT
aiti-13825	176	15	6	6	NUM
aiti-13825	176	16	for	for	ADP
aiti-13825	176	17	a	a	DET
aiti-13825	176	18	fixed	fix	VERB
aiti-13825	176	19	defect	defect	NOUN
aiti-13825	176	20	,	,	PUNCT
aiti-13825	176	21	and	and	CCONJ
aiti-13825	176	22	7	7	NUM
aiti-13825	176	23	for	for	ADP
aiti-13825	176	24	a	a	DET
aiti-13825	176	25	reversible	reversible	ADJ
aiti-13825	176	26	defect	defect	NOUN
aiti-13825	176	27	.	.	PUNCT
aiti-13825	177	1	304	304	NUM
aiti-13825	177	2	int64	int64	PROPN
aiti-13825	177	3	13	13	NUM
aiti-13825	177	4	target	target	NOUN
aiti-13825	177	5	classification	classification	NOUN
aiti-13825	177	6	,	,	PUNCT
aiti-13825	177	7	i.e.	i.e.	X
aiti-13825	177	8	,	,	PUNCT
aiti-13825	177	9	0	0	NUM
aiti-13825	177	10	for	for	ADP
aiti-13825	177	11	no	no	DET
aiti-13825	177	12	presence	presence	NOUN
aiti-13825	177	13	of	of	ADP
aiti-13825	177	14	heart	heart	NOUN
aiti-13825	177	15	disease	disease	NOUN
aiti-13825	177	16	and	and	CCONJ
aiti-13825	177	17	1	1	NUM
aiti-13825	177	18	for	for	ADP
aiti-13825	177	19	presence	presence	NOUN
aiti-13825	177	20	.	.	PUNCT
aiti-13825	178	1	304	304	NUM
aiti-13825	178	2	int64	int64	PROPN
aiti-13825	178	3	3.2	3.2	NUM
aiti-13825	178	4	.	.	PUNCT
aiti-13825	179	1	exploratory	exploratory	ADJ
aiti-13825	179	2	data	datum	NOUN
aiti-13825	179	3	analysis	analysis	NOUN
aiti-13825	179	4	fig	fig	NOUN
aiti-13825	179	5	.	.	PUNCT
aiti-13825	180	1	1	1	NUM
aiti-13825	180	2	age	age	NOUN
aiti-13825	180	3	distribution	distribution	NOUN
aiti-13825	180	4	of	of	ADP
aiti-13825	180	5	patients	patient	NOUN
aiti-13825	180	6	fig	fig	NOUN
aiti-13825	180	7	.	.	PUNCT
aiti-13825	181	1	2	2	NUM
aiti-13825	181	2	sex	sex	NOUN
aiti-13825	181	3	vs	vs	ADP
aiti-13825	181	4	number	number	NOUN
aiti-13825	181	5	of	of	ADP
aiti-13825	181	6	records	record	NOUN
aiti-13825	181	7	fig	fig	NOUN
aiti-13825	181	8	.	.	PUNCT
aiti-13825	182	1	3	3	NUM
aiti-13825	182	2	exploratory	exploratory	ADJ
aiti-13825	182	3	data	datum	NOUN
aiti-13825	182	4	analysis	analysis	NOUN
aiti-13825	182	5	of	of	ADP
aiti-13825	182	6	chest	chest	NOUN
aiti-13825	182	7	pain	pain	NOUN
aiti-13825	182	8	type	type	NOUN
aiti-13825	182	9	advances	advance	NOUN
aiti-13825	182	10	in	in	ADP
aiti-13825	182	11	technology	technology	NOUN
aiti-13825	182	12	innovation	innovation	NOUN
aiti-13825	182	13	,	,	PUNCT
aiti-13825	182	14	vol	vol	NOUN
aiti-13825	182	15	.	.	PROPN
aiti-13825	182	16	10	10	NUM
aiti-13825	182	17	,	,	PUNCT
aiti-13825	182	18	no	no	INTJ
aiti-13825	182	19	.	.	NOUN
aiti-13825	182	20	1	1	NUM
aiti-13825	182	21	,	,	PUNCT
aiti-13825	182	22	2025	2025	NUM
aiti-13825	182	23	,	,	PUNCT
aiti-13825	182	24	pp	pp	ADJ
aiti-13825	182	25	.	.	PUNCT
aiti-13825	183	1	58	58	NUM
aiti-13825	183	2	-	-	SYM
aiti-13825	183	3	71	71	NUM
aiti-13825	183	4	63	63	NUM
aiti-13825	183	5	to	to	PART
aiti-13825	183	6	better	well	ADV
aiti-13825	183	7	understand	understand	VERB
aiti-13825	183	8	the	the	DET
aiti-13825	183	9	dataset	dataset	NOUN
aiti-13825	183	10	,	,	PUNCT
aiti-13825	183	11	exploratory	exploratory	ADJ
aiti-13825	183	12	data	datum	NOUN
aiti-13825	183	13	analysis	analysis	NOUN
aiti-13825	183	14	is	be	AUX
aiti-13825	183	15	conducted	conduct	VERB
aiti-13825	183	16	,	,	PUNCT
aiti-13825	183	17	categorizing	categorize	VERB
aiti-13825	183	18	features	feature	NOUN
aiti-13825	183	19	into	into	ADP
aiti-13825	183	20	quantitative	quantitative	ADJ
aiti-13825	183	21	and	and	CCONJ
aiti-13825	183	22	categorical	categorical	ADJ
aiti-13825	183	23	groups	group	NOUN
aiti-13825	183	24	.	.	PUNCT
aiti-13825	184	1	quantitative	quantitative	ADJ
aiti-13825	184	2	features	feature	NOUN
aiti-13825	184	3	take	take	VERB
aiti-13825	184	4	numerical	numerical	ADJ
aiti-13825	184	5	values	value	NOUN
aiti-13825	184	6	,	,	PUNCT
aiti-13825	184	7	representing	represent	VERB
aiti-13825	184	8	various	various	ADJ
aiti-13825	184	9	measurements	measurement	NOUN
aiti-13825	184	10	.	.	PUNCT
aiti-13825	185	1	in	in	ADP
aiti-13825	185	2	the	the	DET
aiti-13825	185	3	heart	heart	NOUN
aiti-13825	185	4	disease	disease	NOUN
aiti-13825	185	5	dataset	dataset	NOUN
aiti-13825	185	6	,	,	PUNCT
aiti-13825	185	7	features	feature	VERB
aiti-13825	185	8	such	such	ADJ
aiti-13825	185	9	as	as	ADP
aiti-13825	185	10	age	age	NOUN
aiti-13825	185	11	,	,	PUNCT
aiti-13825	185	12	cholesterol	cholesterol	NOUN
aiti-13825	185	13	,	,	PUNCT
aiti-13825	185	14	thalach	thalach	ADV
aiti-13825	185	15	,	,	PUNCT
aiti-13825	185	16	and	and	CCONJ
aiti-13825	185	17	st	st	PROPN
aiti-13825	185	18	depression	depression	NOUN
aiti-13825	185	19	induced	induce	VERB
aiti-13825	185	20	by	by	ADP
aiti-13825	185	21	exercise	exercise	NOUN
aiti-13825	185	22	(	(	PUNCT
aiti-13825	185	23	oldpeak	oldpeak	NOUN
aiti-13825	185	24	)	)	PUNCT
aiti-13825	185	25	were	be	AUX
aiti-13825	185	26	identified	identify	VERB
aiti-13825	185	27	as	as	ADP
aiti-13825	185	28	quantitative	quantitative	ADJ
aiti-13825	185	29	.	.	PUNCT
aiti-13825	186	1	categorical	categorical	ADJ
aiti-13825	186	2	features	feature	NOUN
aiti-13825	186	3	are	be	AUX
aiti-13825	186	4	label	label	NOUN
aiti-13825	186	5	values	value	NOUN
aiti-13825	186	6	that	that	PRON
aiti-13825	186	7	categorize	categorize	VERB
aiti-13825	186	8	individuals	individual	NOUN
aiti-13825	186	9	into	into	ADP
aiti-13825	186	10	groups	group	NOUN
aiti-13825	186	11	.	.	PUNCT
aiti-13825	187	1	examples	example	NOUN
aiti-13825	187	2	from	from	ADP
aiti-13825	187	3	the	the	DET
aiti-13825	187	4	dataset	dataset	NOUN
aiti-13825	187	5	used	use	VERB
aiti-13825	187	6	here	here	ADV
aiti-13825	187	7	include	include	VERB
aiti-13825	187	8	thalassemia	thalassemia	NOUN
aiti-13825	187	9	(	(	PUNCT
aiti-13825	187	10	thal	thal	NOUN
aiti-13825	187	11	)	)	PUNCT
aiti-13825	187	12	,	,	PUNCT
aiti-13825	187	13	gender	gender	NOUN
aiti-13825	187	14	,	,	PUNCT
aiti-13825	187	15	fbs	fbs	PROPN
aiti-13825	187	16	,	,	PUNCT
aiti-13825	187	17	cp	cp	PROPN
aiti-13825	187	18	,	,	PUNCT
aiti-13825	187	19	exang	exang	PROPN
aiti-13825	187	20	,	,	PUNCT
aiti-13825	187	21	slope	slope	NOUN
aiti-13825	187	22	,	,	PUNCT
aiti-13825	187	23	ca	ca	NOUN
aiti-13825	187	24	,	,	PUNCT
aiti-13825	187	25	and	and	CCONJ
aiti-13825	187	26	restecg	restecg	PROPN
aiti-13825	187	27	.	.	PUNCT
aiti-13825	188	1	these	these	DET
aiti-13825	188	2	categorical	categorical	ADJ
aiti-13825	188	3	features	feature	NOUN
aiti-13825	188	4	serve	serve	VERB
aiti-13825	188	5	as	as	ADP
aiti-13825	188	6	target	target	NOUN
aiti-13825	188	7	characteristics	characteristic	NOUN
aiti-13825	188	8	for	for	ADP
aiti-13825	188	9	analysis	analysis	NOUN
aiti-13825	188	10	.	.	PUNCT
aiti-13825	189	1	during	during	ADP
aiti-13825	189	2	feature	feature	NOUN
aiti-13825	189	3	analysis	analysis	NOUN
aiti-13825	189	4	,	,	PUNCT
aiti-13825	189	5	key	key	ADJ
aiti-13825	189	6	features	feature	NOUN
aiti-13825	189	7	for	for	ADP
aiti-13825	189	8	heart	heart	NOUN
aiti-13825	189	9	disease	disease	NOUN
aiti-13825	189	10	prediction	prediction	NOUN
aiti-13825	189	11	were	be	AUX
aiti-13825	189	12	identified	identify	VERB
aiti-13825	189	13	.	.	PUNCT
aiti-13825	190	1	fig	fig	NOUN
aiti-13825	190	2	.	.	PUNCT
aiti-13825	191	1	1	1	NUM
aiti-13825	191	2	shows	show	VERB
aiti-13825	191	3	the	the	DET
aiti-13825	191	4	age	age	NOUN
aiti-13825	191	5	distribution	distribution	NOUN
aiti-13825	191	6	of	of	ADP
aiti-13825	191	7	heart	heart	NOUN
aiti-13825	191	8	disease	disease	NOUN
aiti-13825	191	9	patients	patient	NOUN
aiti-13825	191	10	and	and	CCONJ
aiti-13825	191	11	healthy	healthy	ADJ
aiti-13825	191	12	individuals	individual	NOUN
aiti-13825	191	13	.	.	PUNCT
aiti-13825	192	1	fig	fig	NOUN
aiti-13825	192	2	.	.	PUNCT
aiti-13825	193	1	2	2	NUM
aiti-13825	193	2	depicts	depict	VERB
aiti-13825	193	3	gender	gender	NOUN
aiti-13825	193	4	distribution	distribution	NOUN
aiti-13825	193	5	,	,	PUNCT
aiti-13825	193	6	while	while	SCONJ
aiti-13825	193	7	fig	fig	NOUN
aiti-13825	193	8	.	.	PUNCT
aiti-13825	193	9	3	3	NUM
aiti-13825	193	10	shows	show	VERB
aiti-13825	193	11	chest	chest	NOUN
aiti-13825	193	12	pain	pain	NOUN
aiti-13825	193	13	type	type	NOUN
aiti-13825	193	14	distribution	distribution	NOUN
aiti-13825	193	15	.	.	PUNCT
aiti-13825	194	1	correlation	correlation	NOUN
aiti-13825	194	2	matrices	matrix	NOUN
aiti-13825	194	3	and	and	CCONJ
aiti-13825	194	4	heatmaps	heatmap	NOUN
aiti-13825	194	5	offer	offer	VERB
aiti-13825	194	6	insights	insight	NOUN
aiti-13825	194	7	into	into	ADP
aiti-13825	194	8	variable	variable	ADJ
aiti-13825	194	9	relationships	relationship	NOUN
aiti-13825	194	10	.	.	PUNCT
aiti-13825	195	1	fig	fig	NOUN
aiti-13825	195	2	.	.	PUNCT
aiti-13825	196	1	4	4	NUM
aiti-13825	196	2	highlights	highlight	NOUN
aiti-13825	196	3	the	the	DET
aiti-13825	196	4	correlation	correlation	NOUN
aiti-13825	196	5	between	between	ADP
aiti-13825	196	6	attributes	attribute	NOUN
aiti-13825	196	7	in	in	ADP
aiti-13825	196	8	the	the	DET
aiti-13825	196	9	heart	heart	NOUN
aiti-13825	196	10	disease	disease	NOUN
aiti-13825	196	11	dataset	dataset	VERB
aiti-13825	196	12	.	.	PUNCT
aiti-13825	197	1	fig	fig	NOUN
aiti-13825	197	2	.	.	PUNCT
aiti-13825	198	1	4	4	NUM
aiti-13825	198	2	correlation	correlation	NOUN
aiti-13825	198	3	between	between	ADP
aiti-13825	198	4	different	different	ADJ
aiti-13825	198	5	attributes	attribute	NOUN
aiti-13825	198	6	4	4	NUM
aiti-13825	198	7	.	.	PUNCT
aiti-13825	198	8	methodology	methodology	NOUN
aiti-13825	198	9	this	this	DET
aiti-13825	198	10	study	study	NOUN
aiti-13825	198	11	uses	use	VERB
aiti-13825	198	12	hyperparameter	hyperparameter	NOUN
aiti-13825	198	13	tuning	tuning	NOUN
aiti-13825	198	14	and	and	CCONJ
aiti-13825	198	15	feature	feature	NOUN
aiti-13825	198	16	selection	selection	NOUN
aiti-13825	198	17	to	to	PART
aiti-13825	198	18	create	create	VERB
aiti-13825	198	19	a	a	DET
aiti-13825	198	20	supervised	supervised	ADJ
aiti-13825	198	21	ml	ml	NOUN
aiti-13825	198	22	algorithm	algorithm	NOUN
aiti-13825	198	23	for	for	ADP
aiti-13825	198	24	heart	heart	NOUN
aiti-13825	198	25	disease	disease	NOUN
aiti-13825	198	26	detection	detection	NOUN
aiti-13825	198	27	.	.	PUNCT
aiti-13825	199	1	to	to	PART
aiti-13825	199	2	ensure	ensure	VERB
aiti-13825	199	3	reliable	reliable	ADJ
aiti-13825	199	4	evaluation	evaluation	NOUN
aiti-13825	199	5	,	,	PUNCT
aiti-13825	199	6	70	70	NUM
aiti-13825	199	7	%	%	NOUN
aiti-13825	199	8	of	of	ADP
aiti-13825	199	9	the	the	DET
aiti-13825	199	10	dataset	dataset	NOUN
aiti-13825	199	11	was	be	AUX
aiti-13825	199	12	used	use	VERB
aiti-13825	199	13	for	for	ADP
aiti-13825	199	14	training	training	NOUN
aiti-13825	199	15	and	and	CCONJ
aiti-13825	199	16	30	30	NUM
aiti-13825	199	17	%	%	NOUN
aiti-13825	199	18	for	for	ADP
aiti-13825	199	19	testing	testing	NOUN
aiti-13825	199	20	and	and	CCONJ
aiti-13825	199	21	assessment	assessment	NOUN
aiti-13825	199	22	.	.	PUNCT
aiti-13825	200	1	before	before	ADP
aiti-13825	200	2	model	model	NOUN
aiti-13825	200	3	development	development	PROPN
aiti-13825	200	4	,	,	PUNCT
aiti-13825	200	5	the	the	DET
aiti-13825	200	6	following	follow	VERB
aiti-13825	200	7	preprocessing	preprocesse	VERB
aiti-13825	200	8	steps	step	NOUN
aiti-13825	200	9	were	be	AUX
aiti-13825	200	10	applied	apply	VERB
aiti-13825	200	11	to	to	ADP
aiti-13825	200	12	the	the	DET
aiti-13825	200	13	dataset	dataset	NOUN
aiti-13825	200	14	using	use	VERB
aiti-13825	200	15	a	a	DET
aiti-13825	200	16	standard	standard	ADJ
aiti-13825	200	17	scaler	scaler	NOUN
aiti-13825	200	18	to	to	PART
aiti-13825	200	19	ensure	ensure	VERB
aiti-13825	200	20	consistency	consistency	NOUN
aiti-13825	200	21	in	in	ADP
aiti-13825	200	22	feature	feature	NOUN
aiti-13825	200	23	scales	scale	NOUN
aiti-13825	200	24	.	.	PUNCT
aiti-13825	201	1	the	the	DET
aiti-13825	201	2	experiments	experiment	NOUN
aiti-13825	201	3	are	be	AUX
aiti-13825	201	4	carried	carry	VERB
aiti-13825	201	5	out	out	ADP
aiti-13825	201	6	on	on	ADP
aiti-13825	201	7	a	a	DET
aiti-13825	201	8	pc	pc	NOUN
aiti-13825	201	9	with	with	ADP
aiti-13825	201	10	an	an	DET
aiti-13825	201	11	11th	11th	ADJ
aiti-13825	201	12	-	-	PUNCT
aiti-13825	201	13	generation	generation	NOUN
aiti-13825	201	14	intel(r	intel(r	NOUN
aiti-13825	201	15	)	)	PUNCT
aiti-13825	201	16	core(tm	core(tm	NOUN
aiti-13825	201	17	)	)	PUNCT
aiti-13825	201	18	i5	i5	NOUN
aiti-13825	201	19	-	-	PUNCT
aiti-13825	201	20	1135g7	1135g7	PROPN
aiti-13825	201	21	@	@	NUM
aiti-13825	201	22	2.40	2.40	NUM
aiti-13825	201	23	ghz	ghz	NOUN
aiti-13825	201	24	and	and	CCONJ
aiti-13825	201	25	16	16	NUM
aiti-13825	201	26	gb	gb	NOUN
aiti-13825	201	27	ram	ram	NOUN
aiti-13825	201	28	.	.	PUNCT
aiti-13825	202	1	(	(	PUNCT
aiti-13825	202	2	1	1	X
aiti-13825	202	3	)	)	PUNCT
aiti-13825	202	4	model	model	NOUN
aiti-13825	202	5	development	development	NOUN
aiti-13825	202	6	and	and	CCONJ
aiti-13825	202	7	training	training	NOUN
aiti-13825	202	8	:	:	PUNCT
aiti-13825	202	9	a	a	DET
aiti-13825	202	10	diverse	diverse	ADJ
aiti-13825	202	11	set	set	NOUN
aiti-13825	202	12	of	of	ADP
aiti-13825	202	13	ml	ml	ADP
aiti-13825	202	14	algorithms	algorithm	NOUN
aiti-13825	202	15	was	be	AUX
aiti-13825	202	16	applied	apply	VERB
aiti-13825	202	17	to	to	ADP
aiti-13825	202	18	the	the	DET
aiti-13825	202	19	training	training	NOUN
aiti-13825	202	20	dataset	dataset	NOUN
aiti-13825	202	21	.	.	PUNCT
aiti-13825	203	1	hyperparameter	hyperparameter	NOUN
aiti-13825	203	2	tuning	tuning	NOUN
aiti-13825	203	3	was	be	AUX
aiti-13825	203	4	performed	perform	VERB
aiti-13825	203	5	to	to	PART
aiti-13825	203	6	optimize	optimize	VERB
aiti-13825	203	7	model	model	NOUN
aiti-13825	203	8	architecture	architecture	NOUN
aiti-13825	203	9	and	and	CCONJ
aiti-13825	203	10	improve	improve	VERB
aiti-13825	203	11	predictive	predictive	ADJ
aiti-13825	203	12	performance	performance	NOUN
aiti-13825	203	13	.	.	PUNCT
aiti-13825	204	1	an	an	DET
aiti-13825	204	2	ensemble	ensemble	ADJ
aiti-13825	204	3	approach	approach	NOUN
aiti-13825	204	4	combined	combine	VERB
aiti-13825	204	5	multiple	multiple	ADJ
aiti-13825	204	6	models	model	NOUN
aiti-13825	204	7	to	to	PART
aiti-13825	204	8	enhance	enhance	VERB
aiti-13825	204	9	the	the	DET
aiti-13825	204	10	system	system	NOUN
aiti-13825	204	11	’s	’s	PART
aiti-13825	204	12	accuracy	accuracy	NOUN
aiti-13825	204	13	in	in	ADP
aiti-13825	204	14	predicting	predict	VERB
aiti-13825	204	15	heart	heart	NOUN
aiti-13825	204	16	disease	disease	NOUN
aiti-13825	204	17	.	.	PUNCT
aiti-13825	205	1	(	(	PUNCT
aiti-13825	205	2	2	2	X
aiti-13825	205	3	)	)	PUNCT
aiti-13825	205	4	hybrid	hybrid	ADJ
aiti-13825	205	5	ensemble	ensemble	ADJ
aiti-13825	205	6	classification	classification	NOUN
aiti-13825	205	7	:	:	PUNCT
aiti-13825	205	8	a	a	DET
aiti-13825	205	9	hybrid	hybrid	ADJ
aiti-13825	205	10	ensemble	ensemble	ADJ
aiti-13825	205	11	classification	classification	NOUN
aiti-13825	205	12	approach	approach	NOUN
aiti-13825	205	13	integrated	integrate	VERB
aiti-13825	205	14	eight	eight	NUM
aiti-13825	205	15	ml	ml	NOUN
aiti-13825	205	16	algorithms	algorithm	NOUN
aiti-13825	205	17	,	,	PUNCT
aiti-13825	205	18	leveraging	leverage	VERB
aiti-13825	205	19	their	their	PRON
aiti-13825	205	20	unique	unique	ADJ
aiti-13825	205	21	strengths	strength	NOUN
aiti-13825	205	22	to	to	PART
aiti-13825	205	23	create	create	VERB
aiti-13825	205	24	a	a	DET
aiti-13825	205	25	more	more	ADV
aiti-13825	205	26	robust	robust	ADJ
aiti-13825	205	27	heart	heart	NOUN
aiti-13825	205	28	disease	disease	NOUN
aiti-13825	205	29	prediction	prediction	NOUN
aiti-13825	205	30	model	model	NOUN
aiti-13825	205	31	.	.	PUNCT
aiti-13825	206	1	(	(	PUNCT
aiti-13825	206	2	3	3	X
aiti-13825	206	3	)	)	PUNCT
aiti-13825	206	4	hyperparameter	hyperparameter	NOUN
aiti-13825	206	5	tuning	tuning	NOUN
aiti-13825	206	6	:	:	PUNCT
aiti-13825	206	7	hyperparameters	hyperparameter	NOUN
aiti-13825	206	8	were	be	AUX
aiti-13825	206	9	fine	fine	ADV
aiti-13825	206	10	-	-	PUNCT
aiti-13825	206	11	tuned	tune	VERB
aiti-13825	206	12	using	use	VERB
aiti-13825	206	13	techniques	technique	NOUN
aiti-13825	206	14	like	like	ADP
aiti-13825	206	15	grid	grid	NOUN
aiti-13825	206	16	search	search	NOUN
aiti-13825	206	17	to	to	PART
aiti-13825	206	18	optimize	optimize	VERB
aiti-13825	206	19	model	model	NOUN
aiti-13825	206	20	performance	performance	NOUN
aiti-13825	206	21	for	for	ADP
aiti-13825	206	22	heart	heart	NOUN
aiti-13825	206	23	disease	disease	NOUN
aiti-13825	206	24	prediction	prediction	NOUN
aiti-13825	206	25	.	.	PUNCT
aiti-13825	207	1	(	(	PUNCT
aiti-13825	207	2	4	4	X
aiti-13825	207	3	)	)	PUNCT
aiti-13825	207	4	classification	classification	NOUN
aiti-13825	207	5	and	and	CCONJ
aiti-13825	207	6	evaluation	evaluation	NOUN
aiti-13825	207	7	:	:	PUNCT
aiti-13825	207	8	the	the	DET
aiti-13825	207	9	final	final	ADJ
aiti-13825	207	10	models	model	NOUN
aiti-13825	207	11	were	be	AUX
aiti-13825	207	12	evaluated	evaluate	VERB
aiti-13825	207	13	on	on	ADP
aiti-13825	207	14	the	the	DET
aiti-13825	207	15	test	test	NOUN
aiti-13825	207	16	dataset	dataset	NOUN
aiti-13825	207	17	,	,	PUNCT
aiti-13825	207	18	assessing	assess	VERB
aiti-13825	207	19	their	their	PRON
aiti-13825	207	20	generalization	generalization	NOUN
aiti-13825	207	21	ability	ability	NOUN
aiti-13825	207	22	to	to	ADP
aiti-13825	207	23	new	new	ADJ
aiti-13825	207	24	data	datum	NOUN
aiti-13825	207	25	.	.	PUNCT
aiti-13825	208	1	performance	performance	NOUN
aiti-13825	208	2	metrics	metric	NOUN
aiti-13825	208	3	such	such	ADJ
aiti-13825	208	4	as	as	ADP
aiti-13825	208	5	precision	precision	NOUN
aiti-13825	208	6	,	,	PUNCT
aiti-13825	208	7	recall	recall	NOUN
aiti-13825	208	8	,	,	PUNCT
aiti-13825	208	9	accuracy	accuracy	NOUN
aiti-13825	208	10	,	,	PUNCT
aiti-13825	208	11	and	and	CCONJ
aiti-13825	208	12	f	f	X
aiti-13825	208	13	-	-	PUNCT
aiti-13825	208	14	measure	measure	NOUN
aiti-13825	208	15	were	be	AUX
aiti-13825	208	16	used	use	VERB
aiti-13825	208	17	for	for	ADP
aiti-13825	208	18	performance	performance	NOUN
aiti-13825	208	19	evaluation	evaluation	NOUN
aiti-13825	208	20	.	.	PUNCT
aiti-13825	209	1	(	(	PUNCT
aiti-13825	209	2	5	5	X
aiti-13825	209	3	)	)	PUNCT
aiti-13825	209	4	heart	heart	NOUN
aiti-13825	209	5	disease	disease	NOUN
aiti-13825	209	6	identification	identification	NOUN
aiti-13825	209	7	strategy	strategy	NOUN
aiti-13825	209	8	:	:	PUNCT
aiti-13825	209	9	the	the	DET
aiti-13825	209	10	strategy	strategy	NOUN
aiti-13825	209	11	,	,	PUNCT
aiti-13825	209	12	visualized	visualize	VERB
aiti-13825	209	13	in	in	ADP
aiti-13825	209	14	fig	fig	NOUN
aiti-13825	209	15	.	.	PUNCT
aiti-13825	210	1	5	5	NUM
aiti-13825	210	2	,	,	PUNCT
aiti-13825	210	3	involves	involve	VERB
aiti-13825	210	4	data	datum	NOUN
aiti-13825	210	5	preprocessing	preprocessing	NOUN
aiti-13825	210	6	,	,	PUNCT
aiti-13825	210	7	training	train	VERB
aiti-13825	210	8	multiple	multiple	ADJ
aiti-13825	210	9	ml	ml	NOUN
aiti-13825	210	10	models	model	NOUN
aiti-13825	210	11	with	with	ADP
aiti-13825	210	12	hyperparameter	hyperparameter	NOUN
aiti-13825	210	13	tuning	tuning	NOUN
aiti-13825	210	14	,	,	PUNCT
aiti-13825	210	15	and	and	CCONJ
aiti-13825	210	16	evaluating	evaluate	VERB
aiti-13825	210	17	their	their	PRON
aiti-13825	210	18	performance	performance	NOUN
aiti-13825	210	19	on	on	ADP
aiti-13825	210	20	a	a	DET
aiti-13825	210	21	test	test	NOUN
aiti-13825	210	22	dataset	dataset	NOUN
aiti-13825	210	23	.	.	PUNCT
aiti-13825	211	1	it	it	PRON
aiti-13825	211	2	combines	combine	VERB
aiti-13825	211	3	traditional	traditional	ADJ
aiti-13825	211	4	algorithms	algorithm	NOUN
aiti-13825	211	5	with	with	ADP
aiti-13825	211	6	the	the	DET
aiti-13825	211	7	hybrid	hybrid	ADJ
aiti-13825	211	8	ensemble	ensemble	ADJ
aiti-13825	211	9	model	model	NOUN
aiti-13825	211	10	for	for	ADP
aiti-13825	211	11	reliable	reliable	ADJ
aiti-13825	211	12	heart	heart	NOUN
aiti-13825	211	13	disease	disease	NOUN
aiti-13825	211	14	prediction	prediction	NOUN
aiti-13825	211	15	.	.	PUNCT
aiti-13825	212	1	advances	advance	NOUN
aiti-13825	212	2	in	in	ADP
aiti-13825	212	3	technology	technology	NOUN
aiti-13825	212	4	innovation	innovation	NOUN
aiti-13825	212	5	,	,	PUNCT
aiti-13825	212	6	vol	vol	NOUN
aiti-13825	212	7	.	.	PROPN
aiti-13825	213	1	10	10	NUM
aiti-13825	213	2	,	,	PUNCT
aiti-13825	213	3	no	no	INTJ
aiti-13825	213	4	.	.	NOUN
aiti-13825	213	5	1	1	NUM
aiti-13825	213	6	,	,	PUNCT
aiti-13825	213	7	2025	2025	NUM
aiti-13825	213	8	,	,	PUNCT
aiti-13825	213	9	pp	pp	ADJ
aiti-13825	213	10	.	.	PUNCT
aiti-13825	214	1	58	58	NUM
aiti-13825	214	2	-	-	SYM
aiti-13825	214	3	71	71	NUM
aiti-13825	214	4	64	64	NUM
aiti-13825	214	5	fig	fig	NOUN
aiti-13825	214	6	.	.	PUNCT
aiti-13825	215	1	5	5	NUM
aiti-13825	215	2	methodology	methodology	NOUN
aiti-13825	215	3	for	for	ADP
aiti-13825	215	4	heart	heart	NOUN
aiti-13825	215	5	disease	disease	NOUN
aiti-13825	215	6	prediction	prediction	NOUN
aiti-13825	215	7	system	system	NOUN
aiti-13825	215	8	4.1	4.1	NUM
aiti-13825	215	9	.	.	PUNCT
aiti-13825	216	1	feature	feature	NOUN
aiti-13825	216	2	selection	selection	NOUN
aiti-13825	216	3	using	use	VERB
aiti-13825	216	4	recursive	recursive	ADJ
aiti-13825	216	5	feature	feature	NOUN
aiti-13825	216	6	elimination	elimination	NOUN
aiti-13825	216	7	(	(	PUNCT
aiti-13825	216	8	rfe	rfe	PROPN
aiti-13825	216	9	)	)	PUNCT
aiti-13825	216	10	the	the	DET
aiti-13825	216	11	ml	ml	NOUN
aiti-13825	216	12	’s	’s	PART
aiti-13825	216	13	ability	ability	NOUN
aiti-13825	216	14	to	to	PART
aiti-13825	216	15	identify	identify	VERB
aiti-13825	216	16	influential	influential	ADJ
aiti-13825	216	17	parameters	parameter	NOUN
aiti-13825	216	18	is	be	AUX
aiti-13825	216	19	vital	vital	ADJ
aiti-13825	216	20	.	.	PUNCT
aiti-13825	217	1	feature	feature	NOUN
aiti-13825	217	2	selection	selection	NOUN
aiti-13825	217	3	enhances	enhance	VERB
aiti-13825	217	4	algorithm	algorithm	NOUN
aiti-13825	217	5	performance	performance	NOUN
aiti-13825	217	6	,	,	PUNCT
aiti-13825	217	7	reducing	reduce	VERB
aiti-13825	217	8	execution	execution	NOUN
aiti-13825	217	9	time	time	NOUN
aiti-13825	217	10	,	,	PUNCT
aiti-13825	217	11	improving	improve	VERB
aiti-13825	217	12	accuracy	accuracy	NOUN
aiti-13825	217	13	,	,	PUNCT
aiti-13825	217	14	and	and	CCONJ
aiti-13825	217	15	mitigating	mitigate	VERB
aiti-13825	217	16	overfitting	overfitting	NOUN
aiti-13825	217	17	.	.	PUNCT
aiti-13825	218	1	this	this	DET
aiti-13825	218	2	study	study	NOUN
aiti-13825	218	3	used	use	VERB
aiti-13825	218	4	rfe	rfe	PROPN
aiti-13825	218	5	to	to	PART
aiti-13825	218	6	select	select	VERB
aiti-13825	218	7	features	feature	NOUN
aiti-13825	218	8	from	from	ADP
aiti-13825	218	9	the	the	DET
aiti-13825	218	10	heart	heart	NOUN
aiti-13825	218	11	disease	disease	NOUN
aiti-13825	218	12	dataset	dataset	VERB
aiti-13825	218	13	.	.	PUNCT
aiti-13825	219	1	rfe	rfe	PROPN
aiti-13825	219	2	iteratively	iteratively	ADV
aiti-13825	219	3	removes	remove	VERB
aiti-13825	219	4	attributes	attribute	NOUN
aiti-13825	219	5	while	while	SCONJ
aiti-13825	219	6	evaluating	evaluate	VERB
aiti-13825	219	7	accuracy	accuracy	NOUN
aiti-13825	219	8	to	to	PART
aiti-13825	219	9	determine	determine	VERB
aiti-13825	219	10	the	the	DET
aiti-13825	219	11	most	most	ADV
aiti-13825	219	12	essential	essential	ADJ
aiti-13825	219	13	features	feature	NOUN
aiti-13825	219	14	for	for	ADP
aiti-13825	219	15	prediction	prediction	NOUN
aiti-13825	219	16	.	.	PUNCT
aiti-13825	220	1	it	it	PRON
aiti-13825	220	2	also	also	ADV
aiti-13825	220	3	uses	use	VERB
aiti-13825	220	4	cross	cross	NOUN
aiti-13825	220	5	-	-	NOUN
aiti-13825	220	6	validation	validation	ADJ
aiti-13825	220	7	to	to	PART
aiti-13825	220	8	identify	identify	VERB
aiti-13825	220	9	the	the	DET
aiti-13825	220	10	optimal	optimal	ADJ
aiti-13825	220	11	number	number	NOUN
aiti-13825	220	12	of	of	ADP
aiti-13825	220	13	features	feature	NOUN
aiti-13825	220	14	.	.	PUNCT
aiti-13825	221	1	table	table	NOUN
aiti-13825	221	2	3	3	NUM
aiti-13825	221	3	lists	list	VERB
aiti-13825	221	4	the	the	DET
aiti-13825	221	5	six	six	NUM
aiti-13825	221	6	most	most	ADV
aiti-13825	221	7	relevant	relevant	ADJ
aiti-13825	221	8	features	feature	NOUN
aiti-13825	221	9	selected	select	VERB
aiti-13825	221	10	by	by	ADP
aiti-13825	221	11	rfe	rfe	PROPN
aiti-13825	221	12	for	for	ADP
aiti-13825	221	13	heart	heart	NOUN
aiti-13825	221	14	disease	disease	NOUN
aiti-13825	221	15	prediction	prediction	NOUN
aiti-13825	221	16	.	.	PUNCT
aiti-13825	222	1	streamlining	streamline	VERB
aiti-13825	222	2	the	the	DET
aiti-13825	222	3	feature	feature	NOUN
aiti-13825	222	4	set	set	NOUN
aiti-13825	222	5	improves	improve	VERB
aiti-13825	222	6	model	model	NOUN
aiti-13825	222	7	efficiency	efficiency	NOUN
aiti-13825	222	8	and	and	CCONJ
aiti-13825	222	9	interpretability	interpretability	NOUN
aiti-13825	222	10	while	while	SCONJ
aiti-13825	222	11	maintaining	maintain	VERB
aiti-13825	222	12	or	or	CCONJ
aiti-13825	222	13	enhancing	enhance	VERB
aiti-13825	222	14	accuracy	accuracy	NOUN
aiti-13825	222	15	.	.	PUNCT
aiti-13825	223	1	the	the	DET
aiti-13825	223	2	following	follow	VERB
aiti-13825	223	3	sections	section	NOUN
aiti-13825	223	4	discuss	discuss	VERB
aiti-13825	223	5	how	how	SCONJ
aiti-13825	223	6	these	these	PRON
aiti-13825	223	7	features	feature	VERB
aiti-13825	223	8	impact	impact	NOUN
aiti-13825	223	9	model	model	NOUN
aiti-13825	223	10	performance	performance	NOUN
aiti-13825	223	11	and	and	CCONJ
aiti-13825	223	12	prediction	prediction	NOUN
aiti-13825	223	13	accuracy	accuracy	NOUN
aiti-13825	223	14	.	.	PUNCT
aiti-13825	224	1	table	table	NOUN
aiti-13825	224	2	3	3	NUM
aiti-13825	224	3	features	feature	VERB
aiti-13825	224	4	selection	selection	NOUN
aiti-13825	224	5	using	use	VERB
aiti-13825	224	6	rfe	rfe	NOUN
aiti-13825	224	7	feature	feature	NOUN
aiti-13825	224	8	feature	feature	NOUN
aiti-13825	224	9	ranking	rank	VERB
aiti-13825	224	10	using	use	VERB
aiti-13825	224	11	rfe	rfe	NOUN
aiti-13825	224	12	support	support	NOUN
aiti-13825	224	13	age	age	NOUN
aiti-13825	224	14	7	7	NUM
aiti-13825	224	15	false	false	ADJ
aiti-13825	224	16	sex	sex	NOUN
aiti-13825	224	17	1	1	NUM
aiti-13825	224	18	true	true	ADJ
aiti-13825	224	19	cp	cp	INTJ
aiti-13825	224	20	1	1	NUM
aiti-13825	224	21	true	true	ADJ
aiti-13825	224	22	trestbps	trestbps	NOUN
aiti-13825	224	23	6	6	NUM
aiti-13825	224	24	false	false	ADJ
aiti-13825	224	25	chol	chol	NOUN
aiti-13825	224	26	8	8	NUM
aiti-13825	224	27	false	false	ADJ
aiti-13825	224	28	fbs	fbs	NOUN
aiti-13825	224	29	4	4	NUM
aiti-13825	224	30	false	false	ADJ
aiti-13825	224	31	restecg	restecg	NOUN
aiti-13825	224	32	3	3	NUM
aiti-13825	224	33	false	false	ADJ
aiti-13825	224	34	thalch	thalch	NOUN
aiti-13825	224	35	5	5	NUM
aiti-13825	224	36	false	false	ADJ
aiti-13825	224	37	exang	exang	NOUN
aiti-13825	224	38	1	1	NUM
aiti-13825	224	39	true	true	ADJ
aiti-13825	224	40	oldpeak	oldpeak	NOUN
aiti-13825	224	41	2	2	NUM
aiti-13825	224	42	false	false	ADJ
aiti-13825	224	43	slope	slope	NOUN
aiti-13825	224	44	1	1	NUM
aiti-13825	224	45	true	true	ADJ
aiti-13825	224	46	ca	ca	NOUN
aiti-13825	224	47	1	1	NUM
aiti-13825	224	48	true	true	ADJ
aiti-13825	224	49	thal	thal	NOUN
aiti-13825	224	50	1	1	NUM
aiti-13825	224	51	true	true	ADJ
aiti-13825	224	52	4.2	4.2	NUM
aiti-13825	224	53	.	.	PUNCT
aiti-13825	225	1	ml	ml	ADP
aiti-13825	225	2	algorithms	algorithm	NOUN
aiti-13825	225	3	as	as	SCONJ
aiti-13825	225	4	listed	list	VERB
aiti-13825	225	5	below	below	ADV
aiti-13825	225	6	,	,	PUNCT
aiti-13825	225	7	this	this	DET
aiti-13825	225	8	research	research	NOUN
aiti-13825	225	9	adopted	adopt	VERB
aiti-13825	225	10	eight	eight	NUM
aiti-13825	225	11	ml	ml	NOUN
aiti-13825	225	12	models	model	NOUN
aiti-13825	225	13	for	for	ADP
aiti-13825	225	14	analysis	analysis	NOUN
aiti-13825	225	15	and	and	CCONJ
aiti-13825	225	16	finally	finally	ADV
aiti-13825	225	17	proposed	propose	VERB
aiti-13825	225	18	an	an	DET
aiti-13825	225	19	ensemble	ensemble	ADJ
aiti-13825	225	20	model	model	NOUN
aiti-13825	225	21	.	.	PUNCT
aiti-13825	226	1	(	(	PUNCT
aiti-13825	226	2	1	1	X
aiti-13825	226	3	)	)	PUNCT
aiti-13825	226	4	lr	lr	NOUN
aiti-13825	226	5	is	be	AUX
aiti-13825	226	6	a	a	DET
aiti-13825	226	7	supervised	supervised	ADJ
aiti-13825	226	8	classifier	classifier	NOUN
aiti-13825	226	9	where	where	SCONJ
aiti-13825	226	10	a	a	DET
aiti-13825	226	11	regression	regression	NOUN
aiti-13825	226	12	model	model	NOUN
aiti-13825	226	13	can	can	AUX
aiti-13825	226	14	be	be	AUX
aiti-13825	226	15	used	use	VERB
aiti-13825	226	16	as	as	ADP
aiti-13825	226	17	a	a	DET
aiti-13825	226	18	classifier	classifier	NOUN
aiti-13825	226	19	using	use	VERB
aiti-13825	226	20	a	a	DET
aiti-13825	226	21	decision	decision	NOUN
aiti-13825	226	22	threshold	threshold	NOUN
aiti-13825	226	23	.	.	PUNCT
aiti-13825	227	1	it	it	PRON
aiti-13825	227	2	employs	employ	VERB
aiti-13825	227	3	the	the	DET
aiti-13825	227	4	sigmoid	sigmoid	NOUN
aiti-13825	227	5	function	function	NOUN
aiti-13825	227	6	to	to	PART
aiti-13825	227	7	model	model	VERB
aiti-13825	227	8	the	the	DET
aiti-13825	227	9	data	datum	NOUN
aiti-13825	227	10	,	,	PUNCT
aiti-13825	227	11	and	and	CCONJ
aiti-13825	227	12	the	the	DET
aiti-13825	227	13	appropriate	appropriate	ADJ
aiti-13825	227	14	threshold	threshold	NOUN
aiti-13825	227	15	selection	selection	NOUN
aiti-13825	227	16	can	can	AUX
aiti-13825	227	17	lead	lead	VERB
aiti-13825	227	18	to	to	ADP
aiti-13825	227	19	high	high	ADJ
aiti-13825	227	20	precision	precision	NOUN
aiti-13825	227	21	and	and	CCONJ
aiti-13825	227	22	recall	recall	NOUN
aiti-13825	227	23	.	.	PUNCT
aiti-13825	228	1	the	the	DET
aiti-13825	228	2	advances	advance	NOUN
aiti-13825	228	3	in	in	ADP
aiti-13825	228	4	technology	technology	NOUN
aiti-13825	228	5	innovation	innovation	NOUN
aiti-13825	228	6	,	,	PUNCT
aiti-13825	228	7	vol	vol	NOUN
aiti-13825	228	8	.	.	PROPN
aiti-13825	228	9	10	10	NUM
aiti-13825	228	10	,	,	PUNCT
aiti-13825	228	11	no	no	INTJ
aiti-13825	228	12	.	.	NOUN
aiti-13825	228	13	1	1	NUM
aiti-13825	228	14	,	,	PUNCT
aiti-13825	228	15	2025	2025	NUM
aiti-13825	228	16	,	,	PUNCT
aiti-13825	228	17	pp	pp	ADJ
aiti-13825	228	18	.	.	PUNCT
aiti-13825	229	1	58	58	NUM
aiti-13825	229	2	-	-	SYM
aiti-13825	229	3	71	71	NUM
aiti-13825	229	4	65	65	NUM
aiti-13825	229	5	sigmoid	sigmoid	NOUN
aiti-13825	229	6	function	function	NOUN
aiti-13825	229	7	is	be	AUX
aiti-13825	229	8	a	a	DET
aiti-13825	229	9	monotonic	monotonic	ADJ
aiti-13825	229	10	continuous	continuous	ADJ
aiti-13825	229	11	function	function	NOUN
aiti-13825	229	12	that	that	PRON
aiti-13825	229	13	ranges	range	VERB
aiti-13825	229	14	between	between	ADP
aiti-13825	229	15	0	0	NUM
aiti-13825	229	16	and	and	CCONJ
aiti-13825	229	17	1	1	NUM
aiti-13825	229	18	.	.	PUNCT
aiti-13825	229	19	mathematically	mathematically	ADV
aiti-13825	229	20	,	,	PUNCT
aiti-13825	229	21	this	this	DET
aiti-13825	229	22	classification	classification	NOUN
aiti-13825	229	23	can	can	AUX
aiti-13825	229	24	be	be	AUX
aiti-13825	229	25	expressed	express	VERB
aiti-13825	229	26	as	as	ADP
aiti-13825	229	27	(	(	PUNCT
aiti-13825	229	28	)	)	PUNCT
aiti-13825	229	29	1	1	NUM
aiti-13825	229	30	(	(	PUNCT
aiti-13825	229	31	)	)	PUNCT
aiti-13825	229	32	1	1	NUM
aiti-13825	229	33	exp	exp	NOUN
aiti-13825	229	34	(	(	PUNCT
aiti-13825	229	35	1	1	NUM
aiti-13825	229	36	,	,	PUNCT
aiti-13825	229	37	)	)	PUNCT
aiti-13825	229	38	β	β	X
aiti-13825	230	1	=	=	PUNCT
aiti-13825	231	1	+	+	CCONJ
aiti-13825	231	2	−	−	PROPN
aiti-13825	231	3	q	q	X
aiti-13825	232	1	q	q	X
aiti-13825	232	2	p	p	X
aiti-13825	232	3	y	y	PROPN
aiti-13825	232	4	x	x	X
aiti-13825	232	5	(	(	PUNCT
aiti-13825	232	6	1	1	NUM
aiti-13825	232	7	)	)	PUNCT
aiti-13825	232	8	where	where	SCONJ
aiti-13825	232	9	�	�	PROPN
aiti-13825	232	10	�	�	PROPN
aiti-13825	232	11	�	�	PROPN
aiti-13825	232	12	�	�	PROPN
aiti-13825	232	13	�	�	PROPN
aiti-13825	232	14	gives	give	VERB
aiti-13825	232	15	the	the	DET
aiti-13825	232	16	probability	probability	NOUN
aiti-13825	232	17	of	of	ADP
aiti-13825	232	18	�	�	PROPN
aiti-13825	232	19	�	�	PROPN
aiti-13825	232	20	to	to	PART
aiti-13825	232	21	be	be	AUX
aiti-13825	232	22	1	1	NUM
aiti-13825	232	23	,	,	PUNCT
aiti-13825	232	24	�	�	PROPN
aiti-13825	232	25	�	�	PROPN
aiti-13825	232	26	is	be	AUX
aiti-13825	232	27	the	the	DET
aiti-13825	232	28	input	input	NOUN
aiti-13825	232	29	vector	vector	NOUN
aiti-13825	232	30	to	to	PART
aiti-13825	232	31	be	be	AUX
aiti-13825	232	32	classified	classify	VERB
aiti-13825	232	33	,	,	PUNCT
aiti-13825	232	34	and	and	CCONJ
aiti-13825	232	35	�	�	PROPN
aiti-13825	232	36	is	be	AUX
aiti-13825	232	37	the	the	DET
aiti-13825	232	38	vector	vector	NOUN
aiti-13825	232	39	parameter	parameter	NOUN
aiti-13825	232	40	.	.	PUNCT
aiti-13825	233	1	now	now	ADV
aiti-13825	233	2	,	,	PUNCT
aiti-13825	233	3	the	the	DET
aiti-13825	233	4	classification	classification	NOUN
aiti-13825	233	5	problem	problem	NOUN
aiti-13825	233	6	is	be	AUX
aiti-13825	233	7	equivalent	equivalent	ADJ
aiti-13825	233	8	to	to	ADP
aiti-13825	233	9	finding	find	VERB
aiti-13825	233	10	vector	vector	NOUN
aiti-13825	233	11	parameters	parameter	NOUN
aiti-13825	233	12	.	.	PUNCT
aiti-13825	234	1	(	(	PUNCT
aiti-13825	234	2	2	2	X
aiti-13825	234	3	)	)	PUNCT
aiti-13825	234	4	knn	knn	PROPN
aiti-13825	234	5	is	be	AUX
aiti-13825	234	6	one	one	NUM
aiti-13825	234	7	of	of	ADP
aiti-13825	234	8	the	the	DET
aiti-13825	234	9	simplest	simple	ADJ
aiti-13825	234	10	algorithms	algorithms	NOUN
aiti-13825	234	11	that	that	PRON
aiti-13825	234	12	stores	store	VERB
aiti-13825	234	13	all	all	DET
aiti-13825	234	14	the	the	DET
aiti-13825	234	15	classes	class	NOUN
aiti-13825	234	16	and	and	CCONJ
aiti-13825	234	17	classifies	classify	VERB
aiti-13825	234	18	the	the	DET
aiti-13825	234	19	new	new	ADJ
aiti-13825	234	20	ones	one	NOUN
aiti-13825	234	21	based	base	VERB
aiti-13825	234	22	on	on	ADP
aiti-13825	234	23	the	the	DET
aiti-13825	234	24	nearest	near	ADJ
aiti-13825	234	25	neighbors	neighbor	NOUN
aiti-13825	234	26	calculating	calculate	VERB
aiti-13825	234	27	distance	distance	NOUN
aiti-13825	234	28	function	function	NOUN
aiti-13825	234	29	.	.	PUNCT
aiti-13825	235	1	it	it	PRON
aiti-13825	235	2	assumes	assume	VERB
aiti-13825	235	3	that	that	SCONJ
aiti-13825	235	4	similar	similar	ADJ
aiti-13825	235	5	entities	entity	NOUN
aiti-13825	235	6	reside	reside	VERB
aiti-13825	235	7	close	close	ADV
aiti-13825	235	8	to	to	ADP
aiti-13825	235	9	one	one	NUM
aiti-13825	235	10	another	another	DET
aiti-13825	235	11	in	in	ADP
aiti-13825	235	12	identical	identical	ADJ
aiti-13825	235	13	classes	class	NOUN
aiti-13825	235	14	.	.	PUNCT
aiti-13825	236	1	the	the	DET
aiti-13825	236	2	letter	letter	NOUN
aiti-13825	236	3	“	"	PUNCT
aiti-13825	236	4	k	k	X
aiti-13825	236	5	”	"	PUNCT
aiti-13825	236	6	represents	represent	VERB
aiti-13825	236	7	the	the	DET
aiti-13825	236	8	closest	close	ADJ
aiti-13825	236	9	neighbors	neighbor	NOUN
aiti-13825	236	10	used	use	VERB
aiti-13825	236	11	to	to	PART
aiti-13825	236	12	categorize	categorize	VERB
aiti-13825	236	13	an	an	DET
aiti-13825	236	14	instance	instance	NOUN
aiti-13825	236	15	.	.	PUNCT
aiti-13825	237	1	in	in	ADP
aiti-13825	237	2	this	this	DET
aiti-13825	237	3	algorithm	algorithm	NOUN
aiti-13825	237	4	,	,	PUNCT
aiti-13825	237	5	two	two	NUM
aiti-13825	237	6	quantities	quantity	NOUN
aiti-13825	237	7	are	be	AUX
aiti-13825	237	8	necessary	necessary	ADJ
aiti-13825	237	9	,	,	PUNCT
aiti-13825	237	10	i.e.	i.e.	X
aiti-13825	237	11	,	,	PUNCT
aiti-13825	237	12	the	the	DET
aiti-13825	237	13	distance	distance	NOUN
aiti-13825	237	14	between	between	ADP
aiti-13825	237	15	two	two	NUM
aiti-13825	237	16	entities	entity	NOUN
aiti-13825	237	17	and	and	CCONJ
aiti-13825	237	18	the	the	DET
aiti-13825	237	19	neighbors	neighbor	NOUN
aiti-13825	237	20	’	’	PART
aiti-13825	237	21	quantity	quantity	NOUN
aiti-13825	237	22	(	(	PUNCT
aiti-13825	237	23	k	k	NOUN
aiti-13825	237	24	)	)	PUNCT
aiti-13825	237	25	.	.	PUNCT
aiti-13825	238	1	typically	typically	ADV
aiti-13825	238	2	,	,	PUNCT
aiti-13825	238	3	the	the	DET
aiti-13825	238	4	euclidean	euclidean	ADJ
aiti-13825	238	5	distance	distance	NOUN
aiti-13825	238	6	given	give	VERB
aiti-13825	238	7	in	in	ADP
aiti-13825	238	8	the	the	DET
aiti-13825	238	9	following	follow	VERB
aiti-13825	238	10	equation	equation	NOUN
aiti-13825	238	11	is	be	AUX
aiti-13825	238	12	used	use	VERB
aiti-13825	238	13	.	.	PUNCT
aiti-13825	239	1	(	(	PUNCT
aiti-13825	239	2	)	)	PUNCT
aiti-13825	239	3	2	2	NUM
aiti-13825	239	4	0	0	NUM
aiti-13825	239	5	(	(	PUNCT
aiti-13825	239	6	,	,	PUNCT
aiti-13825	239	7	)	)	PUNCT
aiti-13825	239	8	=	=	PUNCT
aiti-13825	239	9	=	=	PUNCT
aiti-13825	239	10	−	−	NOUN
aiti-13825	240	1	n	n	NOUN
aiti-13825	240	2	k	k	NOUN
aiti-13825	241	1	k	k	PUNCT
aiti-13825	241	2	x	x	PUNCT
aiti-13825	241	3	d	d	NOUN
aiti-13825	241	4	x	x	X
aiti-13825	241	5	y	y	NOUN
aiti-13825	241	6	x	x	SYM
aiti-13825	241	7	y	y	PROPN
aiti-13825	241	8	(	(	PUNCT
aiti-13825	241	9	2	2	NUM
aiti-13825	241	10	)	)	PUNCT
aiti-13825	241	11	as	as	SCONJ
aiti-13825	241	12	shown	show	VERB
aiti-13825	241	13	in	in	ADP
aiti-13825	241	14	fig	fig	NOUN
aiti-13825	241	15	.	.	PUNCT
aiti-13825	242	1	6	6	NUM
aiti-13825	242	2	,	,	PUNCT
aiti-13825	242	3	knn	knn	PROPN
aiti-13825	242	4	calculates	calculate	VERB
aiti-13825	242	5	an	an	DET
aiti-13825	242	6	entity	entity	NOUN
aiti-13825	242	7	’s	’s	PART
aiti-13825	242	8	distance	distance	NOUN
aiti-13825	242	9	from	from	ADP
aiti-13825	242	10	neighboring	neighboring	NOUN
aiti-13825	242	11	points	point	NOUN
aiti-13825	242	12	and	and	CCONJ
aiti-13825	242	13	classifies	classify	VERB
aiti-13825	242	14	it	it	PRON
aiti-13825	242	15	based	base	VERB
aiti-13825	242	16	on	on	ADP
aiti-13825	242	17	the	the	DET
aiti-13825	242	18	nearest	near	ADJ
aiti-13825	242	19	neighbors	neighbor	NOUN
aiti-13825	242	20	.	.	PUNCT
aiti-13825	243	1	clean	clean	ADJ
aiti-13825	243	2	,	,	PUNCT
aiti-13825	243	3	normalized	normalize	VERB
aiti-13825	243	4	data	datum	NOUN
aiti-13825	243	5	is	be	AUX
aiti-13825	243	6	essential	essential	ADJ
aiti-13825	243	7	for	for	SCONJ
aiti-13825	243	8	knn	knn	PROPN
aiti-13825	243	9	to	to	PART
aiti-13825	243	10	prevent	prevent	VERB
aiti-13825	243	11	bias	bias	NOUN
aiti-13825	243	12	from	from	ADP
aiti-13825	243	13	outliers	outlier	NOUN
aiti-13825	243	14	and	and	CCONJ
aiti-13825	243	15	high	high	ADJ
aiti-13825	243	16	-	-	PUNCT
aiti-13825	243	17	value	value	NOUN
aiti-13825	243	18	entities	entity	NOUN
aiti-13825	243	19	.	.	PUNCT
aiti-13825	244	1	during	during	ADP
aiti-13825	244	2	training	training	NOUN
aiti-13825	244	3	,	,	PUNCT
aiti-13825	244	4	knn	knn	PROPN
aiti-13825	244	5	stores	store	VERB
aiti-13825	244	6	the	the	DET
aiti-13825	244	7	data	datum	NOUN
aiti-13825	244	8	,	,	PUNCT
aiti-13825	244	9	and	and	CCONJ
aiti-13825	244	10	in	in	ADP
aiti-13825	244	11	testing	testing	NOUN
aiti-13825	244	12	,	,	PUNCT
aiti-13825	244	13	it	it	PRON
aiti-13825	244	14	compares	compare	VERB
aiti-13825	244	15	the	the	DET
aiti-13825	244	16	test	test	NOUN
aiti-13825	244	17	instance	instance	NOUN
aiti-13825	244	18	to	to	ADP
aiti-13825	244	19	the	the	DET
aiti-13825	244	20	stored	store	VERB
aiti-13825	244	21	data	datum	NOUN
aiti-13825	244	22	,	,	PUNCT
aiti-13825	244	23	identifying	identify	VERB
aiti-13825	244	24	the	the	DET
aiti-13825	244	25	nearest	near	ADJ
aiti-13825	244	26	neighbors	neighbor	NOUN
aiti-13825	244	27	to	to	PART
aiti-13825	244	28	predict	predict	VERB
aiti-13825	244	29	the	the	DET
aiti-13825	244	30	majority	majority	NOUN
aiti-13825	244	31	label	label	NOUN
aiti-13825	244	32	.	.	PUNCT
aiti-13825	245	1	the	the	DET
aiti-13825	245	2	choice	choice	NOUN
aiti-13825	245	3	of	of	ADP
aiti-13825	245	4	‘	'	PUNCT
aiti-13825	245	5	k	k	NOUN
aiti-13825	245	6	’	'	PUNCT
aiti-13825	245	7	and	and	CCONJ
aiti-13825	245	8	the	the	DET
aiti-13825	245	9	distance	distance	NOUN
aiti-13825	245	10	metric	metric	ADJ
aiti-13825	245	11	significantly	significantly	ADV
aiti-13825	245	12	impacts	impact	VERB
aiti-13825	245	13	the	the	DET
aiti-13825	245	14	performance	performance	NOUN
aiti-13825	245	15	of	of	ADP
aiti-13825	245	16	the	the	DET
aiti-13825	245	17	knn	knn	PROPN
aiti-13825	245	18	method	method	PROPN
aiti-13825	245	19	.	.	PUNCT
aiti-13825	246	1	fig	fig	NOUN
aiti-13825	246	2	.	.	PUNCT
aiti-13825	247	1	6	6	NUM
aiti-13825	247	2	classifier	classifier	PROPN
aiti-13825	247	3	example	example	NOUN
aiti-13825	247	4	with	with	ADP
aiti-13825	247	5	k	k	PROPN
aiti-13825	247	6	=	=	SYM
aiti-13825	247	7	4	4	NUM
aiti-13825	247	8	and	and	CCONJ
aiti-13825	247	9	7	7	NUM
aiti-13825	247	10	neighbors	neighbor	NOUN
aiti-13825	247	11	(	(	PUNCT
aiti-13825	247	12	3	3	X
aiti-13825	247	13	)	)	PUNCT
aiti-13825	247	14	dt	dt	PUNCT
aiti-13825	247	15	is	be	AUX
aiti-13825	247	16	a	a	DET
aiti-13825	247	17	tree	tree	NOUN
aiti-13825	247	18	-	-	PUNCT
aiti-13825	247	19	structured	structure	VERB
aiti-13825	247	20	supervised	supervised	ADJ
aiti-13825	247	21	learning	learning	NOUN
aiti-13825	247	22	model	model	NOUN
aiti-13825	247	23	for	for	ADP
aiti-13825	247	24	classification	classification	NOUN
aiti-13825	247	25	and	and	CCONJ
aiti-13825	247	26	regression	regression	NOUN
aiti-13825	247	27	tasks	task	NOUN
aiti-13825	247	28	.	.	PUNCT
aiti-13825	248	1	internal	internal	ADJ
aiti-13825	248	2	nodes	node	NOUN
aiti-13825	248	3	represent	represent	VERB
aiti-13825	248	4	the	the	DET
aiti-13825	248	5	dataset	dataset	NOUN
aiti-13825	248	6	’s	’s	PART
aiti-13825	248	7	features	feature	NOUN
aiti-13825	248	8	,	,	PUNCT
aiti-13825	248	9	branches	branch	NOUN
aiti-13825	248	10	represent	represent	VERB
aiti-13825	248	11	decision	decision	NOUN
aiti-13825	248	12	paths	path	NOUN
aiti-13825	248	13	,	,	PUNCT
aiti-13825	248	14	and	and	CCONJ
aiti-13825	248	15	leaf	leaf	NOUN
aiti-13825	248	16	nodes	node	NOUN
aiti-13825	248	17	provide	provide	VERB
aiti-13825	248	18	the	the	DET
aiti-13825	248	19	outcomes	outcome	NOUN
aiti-13825	248	20	.	.	PUNCT
aiti-13825	249	1	decision	decision	NOUN
aiti-13825	249	2	nodes	node	NOUN
aiti-13825	249	3	have	have	VERB
aiti-13825	249	4	multiple	multiple	ADJ
aiti-13825	249	5	branches	branch	NOUN
aiti-13825	249	6	(	(	PUNCT
aiti-13825	249	7	as	as	SCONJ
aiti-13825	249	8	shown	show	VERB
aiti-13825	249	9	in	in	ADP
aiti-13825	249	10	fig	fig	NOUN
aiti-13825	249	11	.	.	PUNCT
aiti-13825	250	1	7	7	NUM
aiti-13825	250	2	)	)	PUNCT
aiti-13825	250	3	,	,	PUNCT
aiti-13825	250	4	while	while	SCONJ
aiti-13825	250	5	leaf	leaf	NOUN
aiti-13825	250	6	nodes	node	NOUN
aiti-13825	250	7	indicate	indicate	VERB
aiti-13825	250	8	the	the	DET
aiti-13825	250	9	final	final	ADJ
aiti-13825	250	10	decisions	decision	NOUN
aiti-13825	250	11	without	without	ADP
aiti-13825	250	12	further	far	ADV
aiti-13825	250	13	branching	branch	VERB
aiti-13825	250	14	.	.	PUNCT
aiti-13825	251	1	each	each	DET
aiti-13825	251	2	decision	decision	NOUN
aiti-13825	251	3	or	or	CCONJ
aiti-13825	251	4	test	test	NOUN
aiti-13825	251	5	is	be	AUX
aiti-13825	251	6	based	base	VERB
aiti-13825	251	7	on	on	ADP
aiti-13825	251	8	the	the	DET
aiti-13825	251	9	characteristics	characteristic	NOUN
aiti-13825	251	10	of	of	ADP
aiti-13825	251	11	the	the	DET
aiti-13825	251	12	dataset	dataset	NOUN
aiti-13825	251	13	.	.	PUNCT
aiti-13825	252	1	fig	fig	NOUN
aiti-13825	252	2	.	.	PUNCT
aiti-13825	253	1	7	7	NUM
aiti-13825	253	2	decision	decision	NOUN
aiti-13825	253	3	tree	tree	NOUN
aiti-13825	253	4	structure	structure	NOUN
aiti-13825	253	5	advances	advance	NOUN
aiti-13825	253	6	in	in	ADP
aiti-13825	253	7	technology	technology	NOUN
aiti-13825	253	8	innovation	innovation	NOUN
aiti-13825	253	9	,	,	PUNCT
aiti-13825	253	10	vol	vol	NOUN
aiti-13825	253	11	.	.	PROPN
aiti-13825	254	1	10	10	NUM
aiti-13825	254	2	,	,	PUNCT
aiti-13825	254	3	no	no	INTJ
aiti-13825	254	4	.	.	NOUN
aiti-13825	254	5	1	1	NUM
aiti-13825	254	6	,	,	PUNCT
aiti-13825	254	7	2025	2025	NUM
aiti-13825	254	8	,	,	PUNCT
aiti-13825	254	9	pp	pp	ADJ
aiti-13825	254	10	.	.	PUNCT
aiti-13825	255	1	58	58	NUM
aiti-13825	255	2	-	-	SYM
aiti-13825	255	3	71	71	NUM
aiti-13825	255	4	66	66	NUM
aiti-13825	255	5	(	(	PUNCT
aiti-13825	255	6	4	4	NUM
aiti-13825	255	7	)	)	PUNCT
aiti-13825	255	8	rf	rf	NOUN
aiti-13825	255	9	builds	build	VERB
aiti-13825	255	10	multiple	multiple	ADJ
aiti-13825	255	11	numbers	number	NOUN
aiti-13825	255	12	of	of	ADP
aiti-13825	255	13	the	the	DET
aiti-13825	255	14	individual	individual	ADJ
aiti-13825	255	15	dt	dt	NOUN
aiti-13825	255	16	in	in	ADP
aiti-13825	255	17	the	the	DET
aiti-13825	255	18	training	training	NOUN
aiti-13825	255	19	stage	stage	NOUN
aiti-13825	255	20	.	.	PUNCT
aiti-13825	256	1	each	each	DET
aiti-13825	256	2	tree	tree	NOUN
aiti-13825	256	3	predicts	predict	VERB
aiti-13825	256	4	the	the	DET
aiti-13825	256	5	results	result	NOUN
aiti-13825	256	6	,	,	PUNCT
aiti-13825	256	7	and	and	CCONJ
aiti-13825	256	8	the	the	DET
aiti-13825	256	9	class	class	NOUN
aiti-13825	256	10	with	with	ADP
aiti-13825	256	11	the	the	DET
aiti-13825	256	12	most	most	ADV
aiti-13825	256	13	predictable	predictable	ADJ
aiti-13825	256	14	results	result	NOUN
aiti-13825	256	15	is	be	AUX
aiti-13825	256	16	considered	consider	VERB
aiti-13825	256	17	the	the	DET
aiti-13825	256	18	model	model	NOUN
aiti-13825	256	19	output	output	NOUN
aiti-13825	256	20	.	.	PUNCT
aiti-13825	257	1	fig	fig	NOUN
aiti-13825	257	2	.	.	PUNCT
aiti-13825	258	1	8	8	NUM
aiti-13825	258	2	shows	show	VERB
aiti-13825	258	3	the	the	DET
aiti-13825	258	4	structure	structure	NOUN
aiti-13825	258	5	of	of	ADP
aiti-13825	258	6	rf	rf	NOUN
aiti-13825	258	7	using	use	VERB
aiti-13825	258	8	trees	tree	NOUN
aiti-13825	258	9	.	.	PUNCT
aiti-13825	259	1	fig	fig	NOUN
aiti-13825	259	2	.	.	PUNCT
aiti-13825	260	1	8	8	NUM
aiti-13825	260	2	random	random	ADJ
aiti-13825	260	3	forest	forest	NOUN
aiti-13825	260	4	using	use	VERB
aiti-13825	260	5	multiple	multiple	ADJ
aiti-13825	260	6	trees	tree	NOUN
aiti-13825	260	7	fig	fig	NOUN
aiti-13825	260	8	.	.	PUNCT
aiti-13825	261	1	9	9	NUM
aiti-13825	261	2	hyperplane	hyperplane	NOUN
aiti-13825	261	3	-	-	PUNCT
aiti-13825	261	4	based	base	VERB
aiti-13825	261	5	classification	classification	NOUN
aiti-13825	261	6	in	in	ADP
aiti-13825	261	7	svm	svm	PROPN
aiti-13825	261	8	fig	fig	NOUN
aiti-13825	261	9	.	.	PUNCT
aiti-13825	262	1	10	10	NUM
aiti-13825	262	2	mlp	mlp	NOUN
aiti-13825	262	3	layer	layer	NOUN
aiti-13825	262	4	representation	representation	NOUN
aiti-13825	262	5	(	(	PUNCT
aiti-13825	262	6	5	5	X
aiti-13825	262	7	)	)	PUNCT
aiti-13825	262	8	the	the	DET
aiti-13825	262	9	svm	svm	PROPN
aiti-13825	262	10	classifier	classifier	NOUN
aiti-13825	262	11	employs	employ	VERB
aiti-13825	262	12	a	a	DET
aiti-13825	262	13	hyperplane	hyperplane	NOUN
aiti-13825	262	14	for	for	ADP
aiti-13825	262	15	data	datum	NOUN
aiti-13825	262	16	classification	classification	NOUN
aiti-13825	262	17	.	.	PUNCT
aiti-13825	263	1	it	it	PRON
aiti-13825	263	2	looks	look	VERB
aiti-13825	263	3	for	for	ADP
aiti-13825	263	4	the	the	DET
aiti-13825	263	5	best	good	ADJ
aiti-13825	263	6	hyperplane	hyperplane	NOUN
aiti-13825	263	7	in	in	ADP
aiti-13825	263	8	the	the	DET
aiti-13825	263	9	area	area	NOUN
aiti-13825	263	10	with	with	ADP
aiti-13825	263	11	the	the	DET
aiti-13825	263	12	most	most	ADV
aiti-13825	263	13	significant	significant	ADJ
aiti-13825	263	14	distance	distance	NOUN
aiti-13825	263	15	from	from	ADP
aiti-13825	263	16	the	the	DET
aiti-13825	263	17	data	data	NOUN
aiti-13825	263	18	points	point	NOUN
aiti-13825	263	19	.	.	PUNCT
aiti-13825	264	1	fig	fig	NOUN
aiti-13825	264	2	.	.	PUNCT
aiti-13825	265	1	9	9	NUM
aiti-13825	265	2	illustrates	illustrate	VERB
aiti-13825	265	3	the	the	DET
aiti-13825	265	4	model	model	NOUN
aiti-13825	265	5	’s	’s	PART
aiti-13825	265	6	attempt	attempt	NOUN
aiti-13825	265	7	to	to	PART
aiti-13825	265	8	fit	fit	VERB
aiti-13825	265	9	the	the	DET
aiti-13825	265	10	hyperplane	hyperplane	NOUN
aiti-13825	265	11	with	with	ADP
aiti-13825	265	12	the	the	DET
aiti-13825	265	13	most	most	ADV
aiti-13825	265	14	significant	significant	ADJ
aiti-13825	265	15	possible	possible	ADJ
aiti-13825	265	16	margin	margin	NOUN
aiti-13825	265	17	.	.	PUNCT
aiti-13825	266	1	the	the	DET
aiti-13825	266	2	classification	classification	NOUN
aiti-13825	266	3	accuracy	accuracy	NOUN
aiti-13825	266	4	may	may	AUX
aiti-13825	266	5	be	be	AUX
aiti-13825	266	6	impacted	impact	VERB
aiti-13825	266	7	by	by	ADP
aiti-13825	266	8	data	datum	NOUN
aiti-13825	266	9	points	point	NOUN
aiti-13825	266	10	located	locate	VERB
aiti-13825	266	11	closer	close	ADV
aiti-13825	266	12	to	to	ADP
aiti-13825	266	13	the	the	DET
aiti-13825	266	14	plane	plane	NOUN
aiti-13825	266	15	.	.	PUNCT
aiti-13825	267	1	(	(	PUNCT
aiti-13825	267	2	6	6	X
aiti-13825	267	3	)	)	PUNCT
aiti-13825	267	4	nb	nb	NOUN
aiti-13825	267	5	is	be	AUX
aiti-13825	267	6	a	a	DET
aiti-13825	267	7	probabilistic	probabilistic	ADJ
aiti-13825	267	8	approach	approach	NOUN
aiti-13825	267	9	based	base	VERB
aiti-13825	267	10	on	on	ADP
aiti-13825	267	11	bayes	bayes	PROPN
aiti-13825	267	12	’	'	PUNCT
aiti-13825	267	13	theorem	theorem	VERB
aiti-13825	267	14	,	,	PUNCT
aiti-13825	267	15	assuming	assume	VERB
aiti-13825	267	16	all	all	DET
aiti-13825	267	17	features	feature	NOUN
aiti-13825	267	18	are	be	AUX
aiti-13825	267	19	independent	independent	ADJ
aiti-13825	267	20	.	.	PUNCT
aiti-13825	268	1	it	it	PRON
aiti-13825	268	2	combines	combine	VERB
aiti-13825	268	3	prior	prior	ADJ
aiti-13825	268	4	knowledge	knowledge	NOUN
aiti-13825	268	5	about	about	ADP
aiti-13825	268	6	classes	class	NOUN
aiti-13825	268	7	with	with	ADP
aiti-13825	268	8	new	new	ADJ
aiti-13825	268	9	evidence	evidence	NOUN
aiti-13825	268	10	using	use	VERB
aiti-13825	268	11	training	training	NOUN
aiti-13825	268	12	data	datum	NOUN
aiti-13825	268	13	.	.	PUNCT
aiti-13825	269	1	first	first	ADV
aiti-13825	269	2	,	,	PUNCT
aiti-13825	269	3	it	it	PRON
aiti-13825	269	4	calculates	calculate	VERB
aiti-13825	269	5	a	a	DET
aiti-13825	269	6	probability	probability	NOUN
aiti-13825	269	7	table	table	NOUN
aiti-13825	269	8	for	for	ADP
aiti-13825	269	9	each	each	DET
aiti-13825	269	10	data	datum	NOUN
aiti-13825	269	11	point	point	NOUN
aiti-13825	269	12	and	and	CCONJ
aiti-13825	269	13	then	then	ADV
aiti-13825	269	14	determines	determine	VERB
aiti-13825	269	15	the	the	DET
aiti-13825	269	16	posterior	posterior	ADJ
aiti-13825	269	17	probability	probability	NOUN
aiti-13825	269	18	for	for	ADP
aiti-13825	269	19	each	each	DET
aiti-13825	269	20	class	class	NOUN
aiti-13825	269	21	.	.	PUNCT
aiti-13825	270	1	the	the	DET
aiti-13825	270	2	predicted	predict	VERB
aiti-13825	270	3	class	class	NOUN
aiti-13825	270	4	is	be	AUX
aiti-13825	270	5	the	the	DET
aiti-13825	270	6	one	one	NUM
aiti-13825	270	7	with	with	ADP
aiti-13825	270	8	the	the	DET
aiti-13825	270	9	highest	high	ADJ
aiti-13825	270	10	posterior	posterior	ADJ
aiti-13825	270	11	probability	probability	NOUN
aiti-13825	270	12	.	.	PUNCT
aiti-13825	271	1	in	in	ADP
aiti-13825	271	2	this	this	DET
aiti-13825	271	3	study	study	NOUN
aiti-13825	271	4	,	,	PUNCT
aiti-13825	271	5	an	an	DET
aiti-13825	271	6	ensemble	ensemble	ADJ
aiti-13825	271	7	approach	approach	NOUN
aiti-13825	271	8	incorporates	incorporate	VERB
aiti-13825	271	9	both	both	CCONJ
aiti-13825	271	10	the	the	DET
aiti-13825	271	11	traditional	traditional	ADJ
aiti-13825	271	12	gaussian	gaussian	ADJ
aiti-13825	271	13	nb	nb	NOUN
aiti-13825	271	14	method	method	NOUN
aiti-13825	271	15	and	and	CCONJ
aiti-13825	271	16	its	its	PRON
aiti-13825	271	17	optimized	optimize	VERB
aiti-13825	271	18	variant	variant	NOUN
aiti-13825	271	19	.	.	PUNCT
aiti-13825	272	1	(	(	PUNCT
aiti-13825	272	2	7	7	X
aiti-13825	272	3	)	)	PUNCT
aiti-13825	272	4	xgboost	xgboost	NOUN
aiti-13825	272	5	uses	use	VERB
aiti-13825	272	6	an	an	DET
aiti-13825	272	7	ensemble	ensemble	NOUN
aiti-13825	272	8	of	of	ADP
aiti-13825	272	9	k	k	PROPN
aiti-13825	272	10	classification	classification	NOUN
aiti-13825	272	11	and	and	CCONJ
aiti-13825	272	12	regression	regression	NOUN
aiti-13825	272	13	trees	tree	NOUN
aiti-13825	272	14	,	,	PUNCT
aiti-13825	272	15	enhancing	enhance	VERB
aiti-13825	272	16	learning	learning	NOUN
aiti-13825	272	17	by	by	ADP
aiti-13825	272	18	combining	combine	VERB
aiti-13825	272	19	the	the	DET
aiti-13825	272	20	judgments	judgment	NOUN
aiti-13825	272	21	of	of	ADP
aiti-13825	272	22	weak	weak	ADJ
aiti-13825	272	23	classifiers	classifier	NOUN
aiti-13825	272	24	.	.	PUNCT
aiti-13825	273	1	it	it	PRON
aiti-13825	273	2	reduces	reduce	VERB
aiti-13825	273	3	the	the	DET
aiti-13825	273	4	computational	computational	ADJ
aiti-13825	273	5	cost	cost	NOUN
aiti-13825	273	6	and	and	CCONJ
aiti-13825	273	7	time	time	NOUN
aiti-13825	273	8	of	of	ADP
aiti-13825	273	9	gradient	gradient	ADJ
aiti-13825	273	10	boosting	boosting	NOUN
aiti-13825	273	11	,	,	PUNCT
aiti-13825	273	12	making	make	VERB
aiti-13825	273	13	it	it	PRON
aiti-13825	273	14	a	a	DET
aiti-13825	273	15	powerful	powerful	ADJ
aiti-13825	273	16	tool	tool	NOUN
aiti-13825	273	17	for	for	ADP
aiti-13825	273	18	achieving	achieve	VERB
aiti-13825	273	19	state	state	NOUN
aiti-13825	273	20	-	-	PUNCT
aiti-13825	273	21	of	of	ADP
aiti-13825	273	22	-	-	PUNCT
aiti-13825	273	23	the	the	DET
aiti-13825	273	24	-	-	PUNCT
aiti-13825	273	25	art	art	NOUN
aiti-13825	273	26	results	result	NOUN
aiti-13825	273	27	in	in	ADP
aiti-13825	273	28	various	various	ADJ
aiti-13825	273	29	fields	field	NOUN
aiti-13825	273	30	.	.	PUNCT
aiti-13825	274	1	(	(	PUNCT
aiti-13825	274	2	8)	8)	NUM
aiti-13825	274	3	unlike	unlike	ADP
aiti-13825	274	4	xgboost	xgboost	ADV
aiti-13825	274	5	,	,	PUNCT
aiti-13825	274	6	mlp	mlp	PROPN
aiti-13825	274	7	is	be	AUX
aiti-13825	274	8	a	a	DET
aiti-13825	274	9	feed	feed	NOUN
aiti-13825	274	10	-	-	PUNCT
aiti-13825	274	11	forward	forward	NOUN
aiti-13825	274	12	nn	nn	NOUN
aiti-13825	274	13	with	with	ADP
aiti-13825	274	14	input	input	NOUN
aiti-13825	274	15	,	,	PUNCT
aiti-13825	274	16	hidden	hide	VERB
aiti-13825	274	17	,	,	PUNCT
aiti-13825	274	18	and	and	CCONJ
aiti-13825	274	19	output	output	NOUN
aiti-13825	274	20	layers	layer	NOUN
aiti-13825	274	21	.	.	PUNCT
aiti-13825	275	1	neurons	neuron	NOUN
aiti-13825	275	2	are	be	AUX
aiti-13825	275	3	trained	train	VERB
aiti-13825	275	4	using	use	VERB
aiti-13825	275	5	bp	bp	PROPN
aiti-13825	275	6	,	,	PUNCT
aiti-13825	275	7	allowing	allow	VERB
aiti-13825	275	8	mlps	mlp	NOUN
aiti-13825	275	9	to	to	PART
aiti-13825	275	10	solve	solve	VERB
aiti-13825	275	11	non	non	ADJ
aiti-13825	275	12	-	-	ADJ
aiti-13825	275	13	linearly	linearly	ADV
aiti-13825	275	14	separable	separable	ADJ
aiti-13825	275	15	problems	problem	NOUN
aiti-13825	275	16	by	by	ADP
aiti-13825	275	17	modeling	model	VERB
aiti-13825	275	18	continuous	continuous	ADJ
aiti-13825	275	19	functions	function	NOUN
aiti-13825	275	20	.	.	PUNCT
aiti-13825	276	1	this	this	DET
aiti-13825	276	2	study	study	NOUN
aiti-13825	276	3	randomized	randomize	VERB
aiti-13825	276	4	input	input	NOUN
aiti-13825	276	5	vectors	vector	NOUN
aiti-13825	276	6	during	during	ADP
aiti-13825	276	7	training	training	NOUN
aiti-13825	276	8	to	to	PART
aiti-13825	276	9	achieve	achieve	VERB
aiti-13825	276	10	global	global	ADJ
aiti-13825	276	11	learning	learning	NOUN
aiti-13825	276	12	.	.	PUNCT
aiti-13825	277	1	fig	fig	NOUN
aiti-13825	277	2	.	.	PUNCT
aiti-13825	278	1	10	10	NUM
aiti-13825	278	2	illustrates	illustrate	VERB
aiti-13825	278	3	the	the	DET
aiti-13825	278	4	mlp	mlp	NOUN
aiti-13825	278	5	layer	layer	NOUN
aiti-13825	278	6	structure	structure	NOUN
aiti-13825	278	7	.	.	PUNCT
aiti-13825	279	1	advances	advance	NOUN
aiti-13825	279	2	in	in	ADP
aiti-13825	279	3	technology	technology	NOUN
aiti-13825	279	4	innovation	innovation	NOUN
aiti-13825	279	5	,	,	PUNCT
aiti-13825	279	6	vol	vol	NOUN
aiti-13825	279	7	.	.	PROPN
aiti-13825	280	1	10	10	NUM
aiti-13825	280	2	,	,	PUNCT
aiti-13825	280	3	no	no	INTJ
aiti-13825	280	4	.	.	NOUN
aiti-13825	280	5	1	1	NUM
aiti-13825	280	6	,	,	PUNCT
aiti-13825	280	7	2025	2025	NUM
aiti-13825	280	8	,	,	PUNCT
aiti-13825	280	9	pp	pp	ADJ
aiti-13825	280	10	.	.	PUNCT
aiti-13825	281	1	58	58	NUM
aiti-13825	281	2	-	-	SYM
aiti-13825	281	3	71	71	NUM
aiti-13825	281	4	67	67	NUM
aiti-13825	281	5	4.3	4.3	NUM
aiti-13825	281	6	.	.	PUNCT
aiti-13825	282	1	optimization	optimization	NOUN
aiti-13825	282	2	of	of	ADP
aiti-13825	282	3	hyperparameter	hyperparameter	NOUN
aiti-13825	282	4	using	use	VERB
aiti-13825	282	5	a	a	DET
aiti-13825	282	6	grid	grid	NOUN
aiti-13825	282	7	search	search	NOUN
aiti-13825	282	8	cross	cross	NOUN
aiti-13825	282	9	-	-	ADJ
aiti-13825	282	10	validation	validation	ADJ
aiti-13825	282	11	and	and	CCONJ
aiti-13825	282	12	grid	grid	NOUN
aiti-13825	282	13	search	search	NOUN
aiti-13825	282	14	were	be	AUX
aiti-13825	282	15	used	use	VERB
aiti-13825	282	16	to	to	PART
aiti-13825	282	17	optimize	optimize	VERB
aiti-13825	282	18	classification	classification	NOUN
aiti-13825	282	19	parameters	parameter	NOUN
aiti-13825	282	20	during	during	ADP
aiti-13825	282	21	hyperparameter	hyperparameter	NOUN
aiti-13825	282	22	tuning	tuning	NOUN
aiti-13825	282	23	.	.	PUNCT
aiti-13825	283	1	grid	grid	NOUN
aiti-13825	283	2	search	search	NOUN
aiti-13825	283	3	systematically	systematically	ADV
aiti-13825	283	4	divides	divide	VERB
aiti-13825	283	5	the	the	DET
aiti-13825	283	6	hyperparameter	hyperparameter	NOUN
aiti-13825	283	7	domain	domain	NOUN
aiti-13825	283	8	into	into	ADP
aiti-13825	283	9	a	a	DET
aiti-13825	283	10	grid	grid	NOUN
aiti-13825	283	11	,	,	PUNCT
aiti-13825	283	12	generating	generating	NOUN
aiti-13825	283	13	models	model	NOUN
aiti-13825	283	14	for	for	ADP
aiti-13825	283	15	each	each	DET
aiti-13825	283	16	parameter	parameter	NOUN
aiti-13825	283	17	combination	combination	NOUN
aiti-13825	283	18	and	and	CCONJ
aiti-13825	283	19	using	use	VERB
aiti-13825	283	20	cross	cross	NOUN
aiti-13825	283	21	-	-	NOUN
aiti-13825	283	22	validation	validation	NOUN
aiti-13825	283	23	to	to	PART
aiti-13825	283	24	evaluate	evaluate	VERB
aiti-13825	283	25	performance	performance	NOUN
aiti-13825	283	26	.	.	PUNCT
aiti-13825	284	1	this	this	DET
aiti-13825	284	2	method	method	NOUN
aiti-13825	284	3	thoroughly	thoroughly	ADV
aiti-13825	284	4	explores	explore	VERB
aiti-13825	284	5	a	a	DET
aiti-13825	284	6	selected	select	VERB
aiti-13825	284	7	portion	portion	NOUN
aiti-13825	284	8	of	of	ADP
aiti-13825	284	9	the	the	DET
aiti-13825	284	10	algorithm	algorithm	NOUN
aiti-13825	284	11	’s	’s	PART
aiti-13825	284	12	hyperparameter	hyperparameter	NOUN
aiti-13825	284	13	space	space	NOUN
aiti-13825	284	14	,	,	PUNCT
aiti-13825	284	15	providing	provide	VERB
aiti-13825	284	16	consistent	consistent	ADJ
aiti-13825	284	17	parameter	parameter	NOUN
aiti-13825	284	18	values	value	NOUN
aiti-13825	284	19	for	for	ADP
aiti-13825	284	20	dataset	dataset	ADJ
aiti-13825	284	21	analysis	analysis	NOUN
aiti-13825	284	22	.	.	PUNCT
aiti-13825	285	1	grid	grid	NOUN
aiti-13825	285	2	search	search	NOUN
aiti-13825	285	3	systematically	systematically	ADV
aiti-13825	285	4	generates	generate	VERB
aiti-13825	285	5	each	each	DET
aiti-13825	285	6	candidate	candidate	NOUN
aiti-13825	285	7	’s	’s	PART
aiti-13825	285	8	parameter	parameter	NOUN
aiti-13825	285	9	setting	setting	NOUN
aiti-13825	285	10	based	base	VERB
aiti-13825	285	11	on	on	ADP
aiti-13825	285	12	the	the	DET
aiti-13825	285	13	parameters	parameter	NOUN
aiti-13825	285	14	to	to	PART
aiti-13825	285	15	be	be	AUX
aiti-13825	285	16	optimized	optimize	VERB
aiti-13825	285	17	.	.	PUNCT
aiti-13825	286	1	for	for	ADP
aiti-13825	286	2	instance	instance	NOUN
aiti-13825	286	3	,	,	PUNCT
aiti-13825	286	4	setting	set	VERB
aiti-13825	286	5	a	a	DET
aiti-13825	286	6	sigma	sigma	ADJ
aiti-13825	286	7	range	range	NOUN
aiti-13825	286	8	in	in	ADP
aiti-13825	286	9	svm	svm	PROPN
aiti-13825	286	10	to	to	ADP
aiti-13825	286	11	5	5	NUM
aiti-13825	286	12	will	will	AUX
aiti-13825	286	13	only	only	ADV
aiti-13825	286	14	allow	allow	VERB
aiti-13825	286	15	five	five	NUM
aiti-13825	286	16	possible	possible	ADJ
aiti-13825	286	17	values	value	NOUN
aiti-13825	286	18	.	.	PUNCT
aiti-13825	287	1	therefore	therefore	ADV
aiti-13825	287	2	,	,	PUNCT
aiti-13825	287	3	the	the	DET
aiti-13825	287	4	grid	grid	NOUN
aiti-13825	287	5	search	search	NOUN
aiti-13825	287	6	approach	approach	NOUN
aiti-13825	287	7	provides	provide	VERB
aiti-13825	287	8	5	5	NUM
aiti-13825	287	9	×	×	NOUN
aiti-13825	287	10	5	5	NUM
aiti-13825	287	11	=	=	SYM
aiti-13825	287	12	25	25	NUM
aiti-13825	287	13	permutations	permutation	NOUN
aiti-13825	287	14	of	of	ADP
aiti-13825	287	15	parameter	parameter	NOUN
aiti-13825	287	16	settings	setting	NOUN
aiti-13825	287	17	for	for	ADP
aiti-13825	287	18	a	a	DET
aiti-13825	287	19	random	random	ADJ
aiti-13825	287	20	classifier	classifier	NOUN
aiti-13825	287	21	with	with	ADP
aiti-13825	287	22	two	two	NUM
aiti-13825	287	23	parameters	parameter	NOUN
aiti-13825	287	24	and	and	CCONJ
aiti-13825	287	25	a	a	DET
aiti-13825	287	26	sigma	sigma	NOUN
aiti-13825	287	27	with	with	ADP
aiti-13825	287	28	five	five	NUM
aiti-13825	287	29	possible	possible	ADJ
aiti-13825	287	30	values	value	NOUN
aiti-13825	287	31	.	.	PUNCT
aiti-13825	288	1	then	then	ADV
aiti-13825	288	2	,	,	PUNCT
aiti-13825	288	3	it	it	PRON
aiti-13825	288	4	evaluates	evaluate	VERB
aiti-13825	288	5	the	the	DET
aiti-13825	288	6	parameter	parameter	NOUN
aiti-13825	288	7	setting	setting	NOUN
aiti-13825	288	8	of	of	ADP
aiti-13825	288	9	each	each	DET
aiti-13825	288	10	candidate	candidate	NOUN
aiti-13825	288	11	.	.	PUNCT
aiti-13825	289	1	find	find	VERB
aiti-13825	289	2	the	the	DET
aiti-13825	289	3	optimal	optimal	ADJ
aiti-13825	289	4	parameters	parameter	NOUN
aiti-13825	289	5	among	among	ADP
aiti-13825	289	6	all	all	PRON
aiti-13825	289	7	.	.	PUNCT
aiti-13825	290	1	a	a	DET
aiti-13825	290	2	grid	grid	NOUN
aiti-13825	290	3	search	search	NOUN
aiti-13825	290	4	with	with	ADP
aiti-13825	290	5	10	10	NUM
aiti-13825	290	6	-	-	ADJ
aiti-13825	290	7	fold	fold	ADJ
aiti-13825	290	8	cross	cross	NOUN
aiti-13825	290	9	-	-	ADJ
aiti-13825	290	10	validation	validation	NOUN
aiti-13825	290	11	was	be	AUX
aiti-13825	290	12	conducted	conduct	VERB
aiti-13825	290	13	to	to	PART
aiti-13825	290	14	find	find	VERB
aiti-13825	290	15	optimal	optimal	ADJ
aiti-13825	290	16	hyperparameters	hyperparameter	NOUN
aiti-13825	290	17	for	for	SCONJ
aiti-13825	290	18	the	the	DET
aiti-13825	290	19	heart	heart	NOUN
aiti-13825	290	20	disease	disease	NOUN
aiti-13825	290	21	dataset	dataset	VERB
aiti-13825	290	22	.	.	PUNCT
aiti-13825	291	1	the	the	DET
aiti-13825	291	2	best	good	ADJ
aiti-13825	291	3	hyperparameters	hyperparameter	NOUN
aiti-13825	291	4	obtained	obtain	VERB
aiti-13825	291	5	are	be	AUX
aiti-13825	291	6	shown	show	VERB
aiti-13825	291	7	in	in	ADP
aiti-13825	291	8	table	table	NOUN
aiti-13825	291	9	4	4	NUM
aiti-13825	291	10	.	.	PUNCT
aiti-13825	291	11	models	model	NOUN
aiti-13825	291	12	were	be	AUX
aiti-13825	291	13	generated	generate	VERB
aiti-13825	291	14	using	use	VERB
aiti-13825	291	15	feature	feature	NOUN
aiti-13825	291	16	selection	selection	NOUN
aiti-13825	291	17	and	and	CCONJ
aiti-13825	291	18	hyperparameter	hyperparameter	NOUN
aiti-13825	291	19	tuning	tune	VERB
aiti-13825	291	20	before	before	ADP
aiti-13825	291	21	evaluating	evaluate	VERB
aiti-13825	291	22	performance	performance	NOUN
aiti-13825	291	23	on	on	ADP
aiti-13825	291	24	the	the	DET
aiti-13825	291	25	test	test	NOUN
aiti-13825	291	26	set	set	VERB
aiti-13825	291	27	.	.	PUNCT
aiti-13825	292	1	table	table	NOUN
aiti-13825	292	2	4	4	NUM
aiti-13825	292	3	hyperparameters	hyperparameter	NOUN
aiti-13825	292	4	tunning	tun	VERB
aiti-13825	292	5	and	and	CCONJ
aiti-13825	292	6	its	its	PRON
aiti-13825	292	7	optimum	optimum	ADJ
aiti-13825	292	8	value	value	NOUN
aiti-13825	292	9	classifier	classifier	NOUN
aiti-13825	292	10	initial	initial	ADJ
aiti-13825	292	11	hyperparameters	hyperparameter	NOUN
aiti-13825	292	12	optimum	optimum	ADJ
aiti-13825	292	13	value	value	NOUN
aiti-13825	292	14	of	of	ADP
aiti-13825	292	15	hyperparameters	hyperparameter	NOUN
aiti-13825	292	16	lr	lr	INTJ
aiti-13825	292	17	‘	'	PUNCT
aiti-13825	292	18	c	c	NOUN
aiti-13825	292	19	’	'	PUNCT
aiti-13825	292	20	:	:	PUNCT
aiti-13825	293	1	[	[	X
aiti-13825	293	2	1	1	NUM
aiti-13825	293	3	,	,	PUNCT
aiti-13825	293	4	5	5	NUM
aiti-13825	293	5	,	,	PUNCT
aiti-13825	293	6	10	10	NUM
aiti-13825	293	7	,	,	PUNCT
aiti-13825	293	8	15	15	NUM
aiti-13825	293	9	,	,	PUNCT
aiti-13825	293	10	20	20	NUM
aiti-13825	293	11	,	,	PUNCT
aiti-13825	293	12	25	25	NUM
aiti-13825	293	13	]	]	PUNCT
aiti-13825	293	14	‘	'	PUNCT
aiti-13825	293	15	c	c	NOUN
aiti-13825	293	16	’	'	PUNCT
aiti-13825	293	17	=	=	SYM
aiti-13825	293	18	1	1	NUM
aiti-13825	293	19	dt	dt	NOUN
aiti-13825	293	20	‘	'	PUNCT
aiti-13825	293	21	criterion	criterion	NOUN
aiti-13825	293	22	’	'	PUNCT
aiti-13825	293	23	:	:	PUNCT
aiti-13825	294	1	[	[	X
aiti-13825	294	2	‘	'	PUNCT
aiti-13825	294	3	gini	gini	NOUN
aiti-13825	294	4	’	'	PUNCT
aiti-13825	294	5	,	,	PUNCT
aiti-13825	294	6	‘	'	PUNCT
aiti-13825	294	7	entropy	entropy	NOUN
aiti-13825	294	8	’	'	PUNCT
aiti-13825	294	9	]	]	PUNCT
aiti-13825	294	10	‘	'	PUNCT
aiti-13825	294	11	criterion	criterion	NOUN
aiti-13825	294	12	’	'	PUNCT
aiti-13825	294	13	=	=	SYM
aiti-13825	294	14	‘	'	PUNCT
aiti-13825	294	15	gini	gini	NOUN
aiti-13825	294	16	’	'	PUNCT
aiti-13825	294	17	svm	svm	NOUN
aiti-13825	294	18	‘	'	PUNCT
aiti-13825	294	19	c	c	NOUN
aiti-13825	294	20	’	'	PUNCT
aiti-13825	294	21	:	:	PUNCT
aiti-13825	295	1	[	[	X
aiti-13825	295	2	0.01	0.01	NUM
aiti-13825	295	3	,	,	PUNCT
aiti-13825	295	4	0.1	0.1	NUM
aiti-13825	295	5	,	,	PUNCT
aiti-13825	295	6	0.25	0.25	NUM
aiti-13825	295	7	,	,	PUNCT
aiti-13825	295	8	0.5	0.5	NUM
aiti-13825	295	9	,	,	PUNCT
aiti-13825	295	10	0.75	0.75	NUM
aiti-13825	295	11	,	,	PUNCT
aiti-13825	295	12	1	1	NUM
aiti-13825	295	13	,	,	PUNCT
aiti-13825	295	14	10	10	NUM
aiti-13825	295	15	,	,	PUNCT
aiti-13825	295	16	100	100	NUM
aiti-13825	295	17	]	]	PUNCT
aiti-13825	295	18	‘	'	PUNCT
aiti-13825	295	19	gamma	gamma	NOUN
aiti-13825	295	20	’	'	PUNCT
aiti-13825	295	21	:	:	PUNCT
aiti-13825	296	1	[	[	X
aiti-13825	296	2	1	1	NUM
aiti-13825	296	3	,	,	PUNCT
aiti-13825	296	4	0.75	0.75	NUM
aiti-13825	296	5	,	,	PUNCT
aiti-13825	296	6	0.5	0.5	NUM
aiti-13825	296	7	,	,	PUNCT
aiti-13825	296	8	0.25	0.25	NUM
aiti-13825	296	9	,	,	PUNCT
aiti-13825	296	10	0.1	0.1	NUM
aiti-13825	296	11	,	,	PUNCT
aiti-13825	296	12	0.01	0.01	NUM
aiti-13825	296	13	,	,	PUNCT
aiti-13825	296	14	0.001	0.001	NUM
aiti-13825	296	15	]	]	PUNCT
aiti-13825	296	16	‘	'	PUNCT
aiti-13825	296	17	kernel	kernel	NOUN
aiti-13825	296	18	’	'	PUNCT
aiti-13825	296	19	:	:	PUNCT
aiti-13825	297	1	[	[	X
aiti-13825	297	2	‘	'	PUNCT
aiti-13825	297	3	rbf	rbf	PROPN
aiti-13825	297	4	”	"	PUNCT
aiti-13825	297	5	,	,	PUNCT
aiti-13825	297	6	‘	'	PUNCT
aiti-13825	297	7	poly	poly	ADJ
aiti-13825	297	8	’	'	PUNCT
aiti-13825	297	9	,	,	PUNCT
aiti-13825	297	10	‘	'	PUNCT
aiti-13825	297	11	linear	linear	ADJ
aiti-13825	297	12	’	'	PUNCT
aiti-13825	297	13	]	]	PUNCT
aiti-13825	297	14	‘	'	PUNCT
aiti-13825	297	15	c	c	X
aiti-13825	297	16	’	'	PUNCT
aiti-13825	297	17	=	=	SYM
aiti-13825	297	18	0.1	0.1	NUM
aiti-13825	297	19	‘	'	PUNCT
aiti-13825	297	20	gamma	gamma	NOUN
aiti-13825	297	21	’	'	PUNCT
aiti-13825	297	22	=	=	SYM
aiti-13825	297	23	1	1	NUM
aiti-13825	297	24	‘	'	PUNCT
aiti-13825	297	25	kernel	kernel	NOUN
aiti-13825	297	26	’	'	PUNCT
aiti-13825	297	27	=	=	SYM
aiti-13825	297	28	‘	'	PUNCT
aiti-13825	297	29	linear	linear	ADJ
aiti-13825	297	30	’	'	PUNCT
aiti-13825	297	31	knn	knn	NOUN
aiti-13825	297	32	‘	'	PUNCT
aiti-13825	297	33	n_neighbors	n_neighbor	NOUN
aiti-13825	297	34	’	'	PUNCT
aiti-13825	297	35	:	:	PUNCT
aiti-13825	297	36	list(range(1	list(range(1	X
aiti-13825	297	37	,	,	PUNCT
aiti-13825	297	38	56	56	NUM
aiti-13825	297	39	)	)	PUNCT
aiti-13825	297	40	)	)	PUNCT
aiti-13825	297	41	‘	'	PUNCT
aiti-13825	297	42	leaf_size	leaf_size	VERB
aiti-13825	297	43	’	'	PUNCT
aiti-13825	297	44	:	:	PUNCT
aiti-13825	297	45	list(range(1	list(range(1	X
aiti-13825	297	46	,	,	PUNCT
aiti-13825	297	47	50	50	NUM
aiti-13825	297	48	)	)	PUNCT
aiti-13825	297	49	)	)	PUNCT
aiti-13825	297	50	‘	'	PUNCT
aiti-13825	297	51	n_neighbors	n_neighbor	NOUN
aiti-13825	297	52	’	'	PUNCT
aiti-13825	297	53	=	=	SYM
aiti-13825	297	54	12	12	NUM
aiti-13825	297	55	‘	'	PUNCT
aiti-13825	297	56	leaf_size	leaf_size	VERB
aiti-13825	297	57	’	'	PUNCT
aiti-13825	297	58	=	=	SYM
aiti-13825	297	59	1	1	NUM
aiti-13825	297	60	nb	nb	NOUN
aiti-13825	297	61	smoothing	smoothing	NOUN
aiti-13825	297	62	:	:	PUNCT
aiti-13825	297	63	default	default	NOUN
aiti-13825	297	64	1e-9	1e-9	NOUN
aiti-13825	297	65	smoothing	smoothing	NOUN
aiti-13825	297	66	=	=	SYM
aiti-13825	297	67	1e-9	1e-9	PROPN
aiti-13825	297	68	rf	rf	NOUN
aiti-13825	297	69	‘	'	PUNCT
aiti-13825	297	70	n_estimators	n_estimator	NOUN
aiti-13825	297	71	’	'	PUNCT
aiti-13825	297	72	:	:	PUNCT
aiti-13825	298	1	[	[	X
aiti-13825	298	2	1	1	NUM
aiti-13825	298	3	,	,	PUNCT
aiti-13825	298	4	5	5	NUM
aiti-13825	298	5	,	,	PUNCT
aiti-13825	298	6	10	10	NUM
aiti-13825	298	7	,	,	PUNCT
aiti-13825	298	8	15	15	NUM
aiti-13825	298	9	,	,	PUNCT
aiti-13825	298	10	20	20	NUM
aiti-13825	298	11	,	,	PUNCT
aiti-13825	298	12	25	25	NUM
aiti-13825	298	13	,	,	PUNCT
aiti-13825	298	14	30	30	NUM
aiti-13825	298	15	]	]	PUNCT
aiti-13825	298	16	,	,	PUNCT
aiti-13825	298	17	‘	'	PUNCT
aiti-13825	298	18	max_depth	max_depth	NOUN
aiti-13825	298	19	’	'	PUNCT
aiti-13825	298	20	:	:	PUNCT
aiti-13825	299	1	[	[	X
aiti-13825	299	2	3	3	NUM
aiti-13825	299	3	,	,	PUNCT
aiti-13825	299	4	4	4	NUM
aiti-13825	299	5	,	,	PUNCT
aiti-13825	299	6	5	5	NUM
aiti-13825	299	7	]	]	PUNCT
aiti-13825	299	8	,	,	PUNCT
aiti-13825	299	9	‘	'	PUNCT
aiti-13825	299	10	max_leaf_nodes	max_leaf_node	NOUN
aiti-13825	299	11	’	'	PUNCT
aiti-13825	299	12	:	:	PUNCT
aiti-13825	300	1	[	[	X
aiti-13825	300	2	10	10	NUM
aiti-13825	300	3	,	,	PUNCT
aiti-13825	300	4	15	15	NUM
aiti-13825	300	5	,	,	PUNCT
aiti-13825	300	6	20	20	NUM
aiti-13825	300	7	]	]	PUNCT
aiti-13825	300	8	,	,	PUNCT
aiti-13825	300	9	‘	'	PUNCT
aiti-13825	300	10	min_samples_leaf	min_samples_leaf	ADJ
aiti-13825	300	11	’	'	PUNCT
aiti-13825	300	12	:	:	PUNCT
aiti-13825	301	1	[	[	X
aiti-13825	301	2	10	10	NUM
aiti-13825	301	3	,	,	PUNCT
aiti-13825	301	4	15	15	NUM
aiti-13825	301	5	,	,	PUNCT
aiti-13825	301	6	20	20	NUM
aiti-13825	301	7	,	,	PUNCT
aiti-13825	301	8	25	25	NUM
aiti-13825	301	9	]	]	PUNCT
aiti-13825	301	10	‘	'	PUNCT
aiti-13825	301	11	n_estimators	n_estimator	NOUN
aiti-13825	301	12	’	'	PUNCT
aiti-13825	301	13	:	:	PUNCT
aiti-13825	302	1	[	[	X
aiti-13825	302	2	25	25	NUM
aiti-13825	302	3	]	]	PUNCT
aiti-13825	302	4	‘	'	PUNCT
aiti-13825	302	5	max_depth	max_depth	NOUN
aiti-13825	302	6	’	'	PUNCT
aiti-13825	302	7	:	:	PUNCT
aiti-13825	303	1	[	[	X
aiti-13825	303	2	4	4	NUM
aiti-13825	303	3	]	]	PUNCT
aiti-13825	303	4	‘	'	PUNCT
aiti-13825	303	5	max_leaf_nodes	max_leaf_node	NOUN
aiti-13825	303	6	’	'	PUNCT
aiti-13825	303	7	:	:	PUNCT
aiti-13825	304	1	[	[	X
aiti-13825	304	2	20	20	NUM
aiti-13825	304	3	]	]	PUNCT
aiti-13825	304	4	‘	'	PUNCT
aiti-13825	304	5	min_samples_leaf	min_samples_leaf	ADJ
aiti-13825	304	6	’	'	PUNCT
aiti-13825	304	7	:	:	PUNCT
aiti-13825	305	1	[	[	X
aiti-13825	305	2	20	20	NUM
aiti-13825	305	3	]	]	PUNCT
aiti-13825	305	4	xgboost	xgboost	X
aiti-13825	305	5	‘	'	PUNCT
aiti-13825	305	6	learning_rate	learning_rate	NUM
aiti-13825	305	7	’	'	PUNCT
aiti-13825	305	8	:	:	PUNCT
aiti-13825	306	1	[	[	X
aiti-13825	306	2	0.05	0.05	NUM
aiti-13825	306	3	,	,	PUNCT
aiti-13825	306	4	0.10	0.10	NUM
aiti-13825	306	5	,	,	PUNCT
aiti-13825	306	6	0.15	0.15	NUM
aiti-13825	306	7	,	,	PUNCT
aiti-13825	306	8	0.20	0.20	NUM
aiti-13825	306	9	]	]	PUNCT
aiti-13825	306	10	‘	'	PUNCT
aiti-13825	306	11	max_depth	max_depth	NOUN
aiti-13825	306	12	’	'	PUNCT
aiti-13825	306	13	:	:	PUNCT
aiti-13825	307	1	[	[	X
aiti-13825	307	2	3	3	NUM
aiti-13825	307	3	,	,	PUNCT
aiti-13825	307	4	4	4	NUM
aiti-13825	307	5	,	,	PUNCT
aiti-13825	307	6	5	5	NUM
aiti-13825	307	7	]	]	PUNCT
aiti-13825	307	8	‘	'	PUNCT
aiti-13825	307	9	gamma	gamma	NOUN
aiti-13825	307	10	’	'	PUNCT
aiti-13825	307	11	:	:	PUNCT
aiti-13825	308	1	[	[	X
aiti-13825	308	2	0.0	0.0	NUM
aiti-13825	308	3	,	,	PUNCT
aiti-13825	308	4	0.1	0.1	NUM
aiti-13825	308	5	,	,	PUNCT
aiti-13825	308	6	0.2	0.2	NUM
aiti-13825	308	7	,	,	PUNCT
aiti-13825	308	8	0.3	0.3	NUM
aiti-13825	308	9	]	]	PUNCT
aiti-13825	308	10	‘	'	PUNCT
aiti-13825	308	11	learning_rate	learning_rate	NOUN
aiti-13825	308	12	’	'	PUNCT
aiti-13825	308	13	:	:	PUNCT
aiti-13825	309	1	[	[	X
aiti-13825	309	2	0.10	0.10	NUM
aiti-13825	309	3	]	]	PUNCT
aiti-13825	309	4	‘	'	PUNCT
aiti-13825	309	5	max_depth	max_depth	NOUN
aiti-13825	309	6	’	'	PUNCT
aiti-13825	309	7	:	:	PUNCT
aiti-13825	310	1	[	[	X
aiti-13825	310	2	5	5	NUM
aiti-13825	310	3	]	]	PUNCT
aiti-13825	310	4	‘	'	PUNCT
aiti-13825	310	5	gamma	gamma	NOUN
aiti-13825	310	6	’	'	PUNCT
aiti-13825	310	7	:	:	PUNCT
aiti-13825	310	8	[	[	PUNCT
aiti-13825	310	9	0.3	0.3	NUM
aiti-13825	310	10	]	]	PUNCT
aiti-13825	310	11	mlp	mlp	NOUN
aiti-13825	310	12	‘	'	PUNCT
aiti-13825	310	13	c	c	NOUN
aiti-13825	310	14	’	'	PUNCT
aiti-13825	310	15	:	:	PUNCT
aiti-13825	311	1	[	[	X
aiti-13825	311	2	0.01	0.01	NUM
aiti-13825	311	3	,	,	PUNCT
aiti-13825	311	4	0.1	0.1	NUM
aiti-13825	311	5	,	,	PUNCT
aiti-13825	311	6	0.25	0.25	NUM
aiti-13825	311	7	,	,	PUNCT
aiti-13825	311	8	0.5	0.5	NUM
aiti-13825	311	9	,	,	PUNCT
aiti-13825	311	10	0.75	0.75	NUM
aiti-13825	311	11	,	,	PUNCT
aiti-13825	311	12	1	1	NUM
aiti-13825	311	13	,	,	PUNCT
aiti-13825	311	14	10	10	NUM
aiti-13825	311	15	,	,	PUNCT
aiti-13825	311	16	100	100	NUM
aiti-13825	311	17	]	]	PUNCT
aiti-13825	311	18	‘	'	PUNCT
aiti-13825	311	19	gamma	gamma	NOUN
aiti-13825	311	20	’	'	PUNCT
aiti-13825	311	21	:	:	PUNCT
aiti-13825	312	1	[	[	X
aiti-13825	312	2	1	1	NUM
aiti-13825	312	3	,	,	PUNCT
aiti-13825	312	4	0.75	0.75	NUM
aiti-13825	312	5	,	,	PUNCT
aiti-13825	312	6	0.5	0.5	NUM
aiti-13825	312	7	,	,	PUNCT
aiti-13825	312	8	0.25	0.25	NUM
aiti-13825	312	9	,	,	PUNCT
aiti-13825	312	10	0.1	0.1	NUM
aiti-13825	312	11	,	,	PUNCT
aiti-13825	312	12	0.01	0.01	NUM
aiti-13825	312	13	,	,	PUNCT
aiti-13825	312	14	0.001	0.001	NUM
aiti-13825	312	15	]	]	PUNCT
aiti-13825	312	16	‘	'	PUNCT
aiti-13825	312	17	kernel	kernel	NOUN
aiti-13825	312	18	’	'	PUNCT
aiti-13825	312	19	:	:	PUNCT
aiti-13825	313	1	[	[	X
aiti-13825	313	2	‘	'	PUNCT
aiti-13825	313	3	rbf	rbf	PROPN
aiti-13825	313	4	’	'	PUNCT
aiti-13825	313	5	,	,	PUNCT
aiti-13825	313	6	‘	'	PUNCT
aiti-13825	313	7	poly	poly	ADJ
aiti-13825	313	8	’	'	PUNCT
aiti-13825	313	9	,	,	PUNCT
aiti-13825	313	10	‘	'	PUNCT
aiti-13825	313	11	linear	linear	ADJ
aiti-13825	313	12	’	'	PUNCT
aiti-13825	313	13	]	]	PUNCT
aiti-13825	313	14	‘	'	PUNCT
aiti-13825	313	15	c	c	NOUN
aiti-13825	313	16	’	'	PUNCT
aiti-13825	313	17	=	=	NOUN
aiti-13825	314	1	[	[	X
aiti-13825	314	2	0.1	0.1	NUM
aiti-13825	314	3	]	]	PUNCT
aiti-13825	314	4	‘	'	PUNCT
aiti-13825	314	5	gamma	gamma	NOUN
aiti-13825	314	6	’	'	PUNCT
aiti-13825	314	7	:	:	PUNCT
aiti-13825	315	1	[	[	X
aiti-13825	315	2	0.1	0.1	NUM
aiti-13825	315	3	]	]	PUNCT
aiti-13825	315	4	‘	'	PUNCT
aiti-13825	315	5	kernel	kernel	NOUN
aiti-13825	315	6	’	'	PUNCT
aiti-13825	315	7	:	:	PUNCT
aiti-13825	316	1	[	[	X
aiti-13825	316	2	‘	'	PUNCT
aiti-13825	316	3	linear	linear	ADJ
aiti-13825	316	4	’	'	PUNCT
aiti-13825	316	5	]	]	PUNCT
aiti-13825	316	6	4.4	4.4	NUM
aiti-13825	316	7	.	.	PUNCT
aiti-13825	316	8	experimental	experimental	ADJ
aiti-13825	316	9	evaluation	evaluation	NOUN
aiti-13825	316	10	and	and	CCONJ
aiti-13825	316	11	performance	performance	NOUN
aiti-13825	316	12	analysis	analysis	NOUN
aiti-13825	316	13	the	the	DET
aiti-13825	316	14	performance	performance	NOUN
aiti-13825	316	15	of	of	ADP
aiti-13825	316	16	the	the	DET
aiti-13825	316	17	suggested	suggest	VERB
aiti-13825	316	18	system	system	NOUN
aiti-13825	316	19	was	be	AUX
aiti-13825	316	20	assessed	assess	VERB
aiti-13825	316	21	using	use	VERB
aiti-13825	316	22	30	30	NUM
aiti-13825	316	23	%	%	NOUN
aiti-13825	316	24	of	of	ADP
aiti-13825	316	25	the	the	DET
aiti-13825	316	26	data	datum	NOUN
aiti-13825	316	27	for	for	ADP
aiti-13825	316	28	testing	testing	NOUN
aiti-13825	316	29	and	and	CCONJ
aiti-13825	316	30	70	70	NUM
aiti-13825	316	31	%	%	NOUN
aiti-13825	316	32	for	for	ADP
aiti-13825	316	33	training	training	NOUN
aiti-13825	316	34	.	.	PUNCT
aiti-13825	317	1	the	the	DET
aiti-13825	317	2	recall	recall	NOUN
aiti-13825	317	3	,	,	PUNCT
aiti-13825	317	4	precision	precision	NOUN
aiti-13825	317	5	,	,	PUNCT
aiti-13825	317	6	accuracy	accuracy	NOUN
aiti-13825	317	7	,	,	PUNCT
aiti-13825	317	8	and	and	CCONJ
aiti-13825	317	9	f1	f1	NOUN
aiti-13825	317	10	-	-	PUNCT
aiti-13825	317	11	score	score	NOUN
aiti-13825	317	12	of	of	ADP
aiti-13825	317	13	the	the	DET
aiti-13825	317	14	performance	performance	NOUN
aiti-13825	317	15	are	be	AUX
aiti-13825	317	16	evaluated	evaluate	VERB
aiti-13825	317	17	using	use	VERB
aiti-13825	317	18	the	the	DET
aiti-13825	317	19	confusion	confusion	NOUN
aiti-13825	317	20	matrix	matrix	NOUN
aiti-13825	317	21	.	.	PUNCT
aiti-13825	318	1	accuracy	accuracy	NOUN
aiti-13825	318	2	defines	define	VERB
aiti-13825	318	3	the	the	DET
aiti-13825	318	4	ratio	ratio	NOUN
aiti-13825	318	5	of	of	ADP
aiti-13825	318	6	correctly	correctly	ADV
aiti-13825	318	7	identified	identify	VERB
aiti-13825	318	8	labels	label	NOUN
aiti-13825	318	9	to	to	ADP
aiti-13825	318	10	the	the	DET
aiti-13825	318	11	total	total	ADJ
aiti-13825	318	12	number	number	NOUN
aiti-13825	318	13	of	of	ADP
aiti-13825	318	14	records	record	NOUN
aiti-13825	318	15	.	.	PUNCT
aiti-13825	319	1	precision	precision	NOUN
aiti-13825	319	2	is	be	AUX
aiti-13825	319	3	computed	compute	VERB
aiti-13825	319	4	by	by	ADP
aiti-13825	319	5	taking	take	VERB
aiti-13825	319	6	the	the	DET
aiti-13825	319	7	ratio	ratio	NOUN
aiti-13825	319	8	of	of	ADP
aiti-13825	319	9	correctly	correctly	ADV
aiti-13825	319	10	identified	identify	VERB
aiti-13825	319	11	heart	heart	NOUN
aiti-13825	319	12	disease	disease	NOUN
aiti-13825	319	13	labels	label	VERB
aiti-13825	319	14	to	to	ADP
aiti-13825	319	15	the	the	DET
aiti-13825	319	16	total	total	ADJ
aiti-13825	319	17	predicted	predict	VERB
aiti-13825	319	18	heart	heart	NOUN
aiti-13825	319	19	disease	disease	NOUN
aiti-13825	319	20	labels	label	VERB
aiti-13825	319	21	.	.	PUNCT
aiti-13825	320	1	the	the	DET
aiti-13825	320	2	recall	recall	NOUN
aiti-13825	320	3	is	be	AUX
aiti-13825	320	4	computed	compute	VERB
aiti-13825	320	5	by	by	ADP
aiti-13825	320	6	the	the	DET
aiti-13825	320	7	ratio	ratio	NOUN
aiti-13825	320	8	of	of	ADP
aiti-13825	320	9	truly	truly	ADV
aiti-13825	320	10	identified	identify	VERB
aiti-13825	320	11	heart	heart	NOUN
aiti-13825	320	12	disease	disease	NOUN
aiti-13825	320	13	labels	label	VERB
aiti-13825	320	14	to	to	ADP
aiti-13825	320	15	all	all	DET
aiti-13825	320	16	labels	label	NOUN
aiti-13825	320	17	in	in	ADP
aiti-13825	320	18	the	the	DET
aiti-13825	320	19	dataset	dataset	NOUN
aiti-13825	320	20	with	with	ADP
aiti-13825	320	21	heart	heart	NOUN
aiti-13825	320	22	disease	disease	NOUN
aiti-13825	320	23	.	.	PUNCT
aiti-13825	321	1	the	the	DET
aiti-13825	321	2	f1	f1	ADJ
aiti-13825	321	3	-	-	PUNCT
aiti-13825	321	4	score	score	NOUN
aiti-13825	321	5	defines	define	VERB
aiti-13825	321	6	the	the	DET
aiti-13825	321	7	weighted	weighted	ADJ
aiti-13825	321	8	average	average	NOUN
aiti-13825	321	9	of	of	ADP
aiti-13825	321	10	precision	precision	NOUN
aiti-13825	321	11	and	and	CCONJ
aiti-13825	321	12	recall	recall	NOUN
aiti-13825	321	13	.	.	PUNCT
aiti-13825	322	1	accuracy	accuracy	NOUN
aiti-13825	322	2	,	,	PUNCT
aiti-13825	322	3	precision	precision	NOUN
aiti-13825	322	4	,	,	PUNCT
aiti-13825	322	5	recall	recall	NOUN
aiti-13825	322	6	,	,	PUNCT
aiti-13825	322	7	and	and	CCONJ
aiti-13825	322	8	f	f	X
aiti-13825	322	9	-	-	PUNCT
aiti-13825	322	10	measure	measure	NOUN
aiti-13825	322	11	are	be	AUX
aiti-13825	322	12	defined	define	VERB
aiti-13825	322	13	mathematically	mathematically	ADV
aiti-13825	322	14	as	as	SCONJ
aiti-13825	322	15	follows	follow	VERB
aiti-13825	322	16	:	:	PUNCT
aiti-13825	323	1	tp	tp	PART
aiti-13825	323	2	tn	tn	PROPN
aiti-13825	323	3	accuracy	accuracy	NOUN
aiti-13825	323	4	tp	tp	ADP
aiti-13825	323	5	tn	tn	PROPN
aiti-13825	323	6	fp	fp	PROPN
aiti-13825	323	7	fn	fn	NOUN
aiti-13825	324	1	+	+	NOUN
aiti-13825	324	2	=	=	PUNCT
aiti-13825	325	1	+	+	PUNCT
aiti-13825	325	2	+	+	PUNCT
aiti-13825	325	3	+	+	CCONJ
aiti-13825	325	4	(	(	PUNCT
aiti-13825	325	5	3	3	X
aiti-13825	325	6	)	)	PUNCT
aiti-13825	325	7	tp	tp	AUX
aiti-13825	325	8	precision	precision	NOUN
aiti-13825	325	9	tp	tp	ADP
aiti-13825	325	10	fp	fp	PROPN
aiti-13825	325	11	=	=	PUNCT
aiti-13825	326	1	+	+	CCONJ
aiti-13825	326	2	(	(	PUNCT
aiti-13825	326	3	4	4	X
aiti-13825	326	4	)	)	PUNCT
aiti-13825	326	5	tp	tp	PART
aiti-13825	326	6	recall	recall	VERB
aiti-13825	326	7	tp	tp	ADP
aiti-13825	326	8	fn	fn	NOUN
aiti-13825	326	9	=	=	PUNCT
aiti-13825	327	1	+	+	CCONJ
aiti-13825	327	2	(	(	PUNCT
aiti-13825	327	3	5	5	NUM
aiti-13825	327	4	)	)	PUNCT
aiti-13825	327	5	precision	precision	NOUN
aiti-13825	327	6	recall	recall	NOUN
aiti-13825	327	7	f1	f1	NOUN
aiti-13825	327	8	-	-	PUNCT
aiti-13825	327	9	score	score	NOUN
aiti-13825	327	10	2	2	NUM
aiti-13825	327	11	precision	precision	NOUN
aiti-13825	327	12	recall	recall	NOUN
aiti-13825	327	13	×	×	NOUN
aiti-13825	327	14	=	=	SYM
aiti-13825	327	15	×	×	NOUN
aiti-13825	327	16	+	+	CCONJ
aiti-13825	327	17	(	(	PUNCT
aiti-13825	327	18	6	6	X
aiti-13825	327	19	)	)	PUNCT
aiti-13825	327	20	advances	advance	NOUN
aiti-13825	327	21	in	in	ADP
aiti-13825	327	22	technology	technology	NOUN
aiti-13825	327	23	innovation	innovation	NOUN
aiti-13825	327	24	,	,	PUNCT
aiti-13825	327	25	vol	vol	NOUN
aiti-13825	327	26	.	.	PROPN
aiti-13825	328	1	10	10	NUM
aiti-13825	328	2	,	,	PUNCT
aiti-13825	328	3	no	no	INTJ
aiti-13825	328	4	.	.	NOUN
aiti-13825	328	5	1	1	NUM
aiti-13825	328	6	,	,	PUNCT
aiti-13825	328	7	2025	2025	NUM
aiti-13825	328	8	,	,	PUNCT
aiti-13825	328	9	pp	pp	ADJ
aiti-13825	328	10	.	.	PUNCT
aiti-13825	329	1	58	58	NUM
aiti-13825	329	2	-	-	SYM
aiti-13825	329	3	71	71	NUM
aiti-13825	329	4	68	68	NUM
aiti-13825	329	5	true	true	ADJ
aiti-13825	329	6	positive	positive	ADJ
aiti-13825	329	7	(	(	PUNCT
aiti-13825	329	8	tp	tp	NOUN
aiti-13825	329	9	)	)	PUNCT
aiti-13825	329	10	represents	represent	VERB
aiti-13825	329	11	the	the	DET
aiti-13825	329	12	number	number	NOUN
aiti-13825	329	13	of	of	ADP
aiti-13825	329	14	instances	instance	NOUN
aiti-13825	329	15	correctly	correctly	ADV
aiti-13825	329	16	predicted	predict	VERB
aiti-13825	329	17	as	as	ADP
aiti-13825	329	18	positive	positive	ADJ
aiti-13825	329	19	(	(	PUNCT
aiti-13825	329	20	heart	heart	NOUN
aiti-13825	329	21	disease	disease	NOUN
aiti-13825	329	22	)	)	PUNCT
aiti-13825	329	23	.	.	PUNCT
aiti-13825	330	1	false	false	ADJ
aiti-13825	330	2	positive	positive	ADJ
aiti-13825	330	3	(	(	PUNCT
aiti-13825	330	4	fp	fp	NOUN
aiti-13825	330	5	)	)	PUNCT
aiti-13825	330	6	refers	refer	VERB
aiti-13825	330	7	to	to	ADP
aiti-13825	330	8	the	the	DET
aiti-13825	330	9	number	number	NOUN
aiti-13825	330	10	of	of	ADP
aiti-13825	330	11	instances	instance	NOUN
aiti-13825	330	12	incorrectly	incorrectly	ADV
aiti-13825	330	13	predicted	predict	VERB
aiti-13825	330	14	as	as	ADP
aiti-13825	330	15	positive	positive	ADJ
aiti-13825	330	16	(	(	PUNCT
aiti-13825	330	17	heart	heart	NOUN
aiti-13825	330	18	disease	disease	NOUN
aiti-13825	330	19	)	)	PUNCT
aiti-13825	330	20	when	when	SCONJ
aiti-13825	330	21	they	they	PRON
aiti-13825	330	22	were	be	AUX
aiti-13825	330	23	negative	negative	ADJ
aiti-13825	330	24	.	.	PUNCT
aiti-13825	331	1	true	true	ADJ
aiti-13825	331	2	negative	negative	ADJ
aiti-13825	331	3	(	(	PUNCT
aiti-13825	331	4	tn	tn	NOUN
aiti-13825	331	5	)	)	PUNCT
aiti-13825	331	6	is	be	AUX
aiti-13825	331	7	the	the	DET
aiti-13825	331	8	number	number	NOUN
aiti-13825	331	9	of	of	ADP
aiti-13825	331	10	instances	instance	NOUN
aiti-13825	331	11	correctly	correctly	ADV
aiti-13825	331	12	predicted	predict	VERB
aiti-13825	331	13	as	as	ADP
aiti-13825	331	14	negative	negative	ADJ
aiti-13825	331	15	(	(	PUNCT
aiti-13825	331	16	no	no	DET
aiti-13825	331	17	heart	heart	NOUN
aiti-13825	331	18	disease	disease	NOUN
aiti-13825	331	19	)	)	PUNCT
aiti-13825	331	20	,	,	PUNCT
aiti-13825	331	21	and	and	CCONJ
aiti-13825	331	22	false	false	ADJ
aiti-13825	331	23	negative	negative	ADJ
aiti-13825	331	24	(	(	PUNCT
aiti-13825	331	25	fn	fn	NOUN
aiti-13825	331	26	)	)	PUNCT
aiti-13825	331	27	refers	refer	VERB
aiti-13825	331	28	to	to	ADP
aiti-13825	331	29	the	the	DET
aiti-13825	331	30	number	number	NOUN
aiti-13825	331	31	of	of	ADP
aiti-13825	331	32	instances	instance	NOUN
aiti-13825	331	33	incorrectly	incorrectly	ADV
aiti-13825	331	34	predicted	predict	VERB
aiti-13825	331	35	as	as	ADP
aiti-13825	331	36	negative	negative	ADJ
aiti-13825	331	37	(	(	PUNCT
aiti-13825	331	38	no	no	DET
aiti-13825	331	39	heart	heart	NOUN
aiti-13825	331	40	disease	disease	NOUN
aiti-13825	331	41	)	)	PUNCT
aiti-13825	331	42	when	when	SCONJ
aiti-13825	331	43	they	they	PRON
aiti-13825	331	44	were	be	AUX
aiti-13825	331	45	positive	positive	ADJ
aiti-13825	331	46	.	.	PUNCT
aiti-13825	332	1	table	table	NOUN
aiti-13825	332	2	5	5	NUM
aiti-13825	332	3	precision	precision	NOUN
aiti-13825	332	4	score	score	NOUN
aiti-13825	332	5	ml	ml	ADP
aiti-13825	332	6	algorithms	algorithms	PROPN
aiti-13825	332	7	precision	precision	VERB
aiti-13825	332	8	ht	ht	PROPN
aiti-13825	332	9	without	without	ADP
aiti-13825	332	10	feature	feature	NOUN
aiti-13825	332	11	selection	selection	NOUN
aiti-13825	332	12	ht	ht	PROPN
aiti-13825	332	13	with	with	ADP
aiti-13825	332	14	feature	feature	NOUN
aiti-13825	332	15	selection	selection	NOUN
aiti-13825	332	16	normal	normal	ADJ
aiti-13825	332	17	without	without	ADP
aiti-13825	332	18	feature	feature	NOUN
aiti-13825	332	19	selection	selection	NOUN
aiti-13825	332	20	normal	normal	ADJ
aiti-13825	332	21	with	with	ADP
aiti-13825	332	22	feature	feature	NOUN
aiti-13825	332	23	selection	selection	NOUN
aiti-13825	332	24	lr	lr	X
aiti-13825	332	25	0.792731	0.792731	NUM
aiti-13825	332	26	0.821367	0.821367	NUM
aiti-13825	332	27	0.792731	0.792731	NUM
aiti-13825	332	28	0.821367	0.821367	NUM
aiti-13825	332	29	dt	dt	NOUN
aiti-13825	332	30	0.803762	0.803762	NUM
aiti-13825	332	31	0.793696	0.793696	NUM
aiti-13825	332	32	0.803762	0.803762	NUM
aiti-13825	332	33	0.793696	0.793696	NUM
aiti-13825	332	34	svm	svm	VERB
aiti-13825	332	35	0.871708	0.871708	NUM
aiti-13825	332	36	0.902577	0.902577	NUM
aiti-13825	332	37	0.851565	0.851565	NUM
aiti-13825	332	38	0.891429	0.891429	NUM
aiti-13825	332	39	knn	knn	NOUN
aiti-13825	332	40	0.883295	0.883295	NUM
aiti-13825	332	41	0.903718	0.903718	NUM
aiti-13825	332	42	0.862873	0.862873	NUM
aiti-13825	332	43	0.89472	0.89472	NUM
aiti-13825	332	44	nb	nb	NOUN
aiti-13825	332	45	0.865055	0.865055	NUM
aiti-13825	332	46	0.885839	0.885839	NUM
aiti-13825	332	47	0.865055	0.865055	NUM
aiti-13825	332	48	0.885839	0.885839	NUM
aiti-13825	332	49	rf	rf	NUM
aiti-13825	332	50	0.804549	0.804549	NUM
aiti-13825	332	51	0.872304	0.872304	NUM
aiti-13825	332	52	0.83811	0.83811	NUM
aiti-13825	332	53	0.861491	0.861491	NUM
aiti-13825	332	54	xgboost	xgboost	NOUN
aiti-13825	333	1	0.821914	0.821914	NUM
aiti-13825	333	2	0.813455	0.813455	NUM
aiti-13825	333	3	0.802085	0.802085	NUM
aiti-13825	333	4	0.842376	0.842376	NUM
aiti-13825	333	5	mlp	mlp	NOUN
aiti-13825	333	6	0.836731	0.836731	NUM
aiti-13825	333	7	0.862032	0.862032	NUM
aiti-13825	333	8	0.872178	0.872178	NUM
aiti-13825	333	9	0.921562	0.921562	NUM
aiti-13825	333	10	hybrid	hybrid	NOUN
aiti-13825	333	11	ensemble	ensemble	ADJ
aiti-13825	333	12	0.891429	0.891429	NUM
aiti-13825	333	13	0.93414	0.93414	NUM
aiti-13825	333	14	0.862973	0.862973	NUM
aiti-13825	333	15	0.911993	0.911993	NUM
aiti-13825	333	16	table	table	NOUN
aiti-13825	333	17	6	6	NUM
aiti-13825	333	18	recall	recall	NOUN
aiti-13825	333	19	score	score	NOUN
aiti-13825	333	20	ml	ml	ADP
aiti-13825	333	21	algorithms	algorithm	NOUN
aiti-13825	333	22	recall	recall	VERB
aiti-13825	333	23	ht	ht	PROPN
aiti-13825	333	24	without	without	ADP
aiti-13825	333	25	feature	feature	NOUN
aiti-13825	333	26	selection	selection	NOUN
aiti-13825	333	27	ht	ht	PROPN
aiti-13825	333	28	with	with	ADP
aiti-13825	333	29	feature	feature	NOUN
aiti-13825	333	30	selection	selection	NOUN
aiti-13825	333	31	normal	normal	ADJ
aiti-13825	333	32	without	without	ADP
aiti-13825	333	33	feature	feature	NOUN
aiti-13825	333	34	selection	selection	NOUN
aiti-13825	333	35	normal	normal	ADJ
aiti-13825	333	36	with	with	ADP
aiti-13825	333	37	feature	feature	NOUN
aiti-13825	333	38	selection	selection	NOUN
aiti-13825	333	39	lr	lr	VERB
aiti-13825	333	40	0.792079	0.792079	NUM
aiti-13825	333	41	0.821782	0.821782	NUM
aiti-13825	333	42	0.792079	0.792079	NUM
aiti-13825	333	43	0.821782	0.821782	NUM
aiti-13825	334	1	dt	dt	NOUN
aiti-13825	335	1	0.78297	0.78297	NUM
aiti-13825	335	2	0.792871	0.792871	NUM
aiti-13825	335	3	0.782987	0.782987	NUM
aiti-13825	335	4	0.792871	0.792871	NUM
aiti-13825	335	5	svm	svm	VERB
aiti-13825	335	6	0.872178	0.872178	NUM
aiti-13825	335	7	0.901881	0.901881	NUM
aiti-13825	335	8	0.852376	0.852376	NUM
aiti-13825	335	9	0.89198	0.89198	NUM
aiti-13825	335	10	knn	knn	NOUN
aiti-13825	335	11	0.88198	0.88198	NUM
aiti-13825	335	12	0.901782	0.901782	NUM
aiti-13825	335	13	0.862178	0.862178	NUM
aiti-13825	335	14	0.891881	0.891881	NUM
aiti-13825	335	15	nb	nb	NOUN
aiti-13825	335	16	0.862178	0.862178	NUM
aiti-13825	335	17	0.88198	0.88198	NUM
aiti-13825	335	18	0.862178	0.862178	NUM
aiti-13825	335	19	0.88198	0.88198	NUM
aiti-13825	335	20	rf	rf	VERB
aiti-13825	335	21	0.802772	0.802772	NUM
aiti-13825	335	22	0.872079	0.872079	NUM
aiti-13825	335	23	0.832475	0.832475	NUM
aiti-13825	335	24	0.862178	0.862178	NUM
aiti-13825	335	25	xgboost	xgboost	NOUN
aiti-13825	335	26	0.812673	0.812673	NUM
aiti-13825	335	27	0.812673	0.812673	NUM
aiti-13825	335	28	0.792871	0.792871	NUM
aiti-13825	335	29	0.842376	0.842376	NUM
aiti-13825	335	30	mlp	mlp	NOUN
aiti-13825	335	31	0.832574	0.832574	NUM
aiti-13825	335	32	0.862277	0.862277	NUM
aiti-13825	336	1	0.872178	0.872178	NUM
aiti-13825	336	2	0.921683	0.921683	NUM
aiti-13825	336	3	hybrid	hybrid	ADJ
aiti-13825	336	4	ensemble	ensemble	ADJ
aiti-13825	336	5	0.89198	0.89198	NUM
aiti-13825	336	6	0.931584	0.931584	NUM
aiti-13825	336	7	0.862277	0.862277	NUM
aiti-13825	336	8	0.911782	0.911782	NUM
aiti-13825	336	9	table	table	NOUN
aiti-13825	336	10	7	7	NUM
aiti-13825	336	11	f1	f1	NOUN
aiti-13825	336	12	-	-	PUNCT
aiti-13825	336	13	score	score	NOUN
aiti-13825	336	14	ml	ml	ADP
aiti-13825	336	15	algorithms	algorithm	NOUN
aiti-13825	336	16	f1	f1	NOUN
aiti-13825	336	17	-	-	PUNCT
aiti-13825	336	18	score	score	NOUN
aiti-13825	336	19	ht	ht	PROPN
aiti-13825	336	20	without	without	ADP
aiti-13825	336	21	feature	feature	NOUN
aiti-13825	336	22	selection	selection	NOUN
aiti-13825	336	23	ht	ht	PROPN
aiti-13825	336	24	with	with	ADP
aiti-13825	336	25	feature	feature	NOUN
aiti-13825	336	26	selection	selection	NOUN
aiti-13825	336	27	normal	normal	ADJ
aiti-13825	336	28	without	without	ADP
aiti-13825	336	29	feature	feature	NOUN
aiti-13825	336	30	selection	selection	NOUN
aiti-13825	336	31	normal	normal	ADJ
aiti-13825	336	32	with	with	ADP
aiti-13825	336	33	feature	feature	NOUN
aiti-13825	336	34	selection	selection	NOUN
aiti-13825	336	35	lr	lr	VERB
aiti-13825	336	36	0.79237	0.79237	NUM
aiti-13825	336	37	0.821246	0.821246	NUM
aiti-13825	337	1	0.792327	0.792327	NUM
aiti-13825	337	2	0.821246	0.821246	NUM
aiti-13825	337	3	dt	dt	ADP
aiti-13825	338	1	0.78332	0.78332	NUM
aiti-13825	338	2	0.793214	0.793214	NUM
aiti-13825	338	3	0.78332	0.78332	NUM
aiti-13825	338	4	0.793214	0.793214	NUM
aiti-13825	338	5	svm	svm	NOUN
aiti-13825	338	6	0.870684	0.870684	NUM
aiti-13825	338	7	0.900167	0.900167	NUM
aiti-13825	338	8	0.850746	0.850746	NUM
aiti-13825	338	9	0.891385	0.891385	NUM
aiti-13825	338	10	knn	knn	NOUN
aiti-13825	338	11	0.879686	0.879686	NUM
aiti-13825	338	12	0.89717	0.89717	NUM
aiti-13825	338	13	0.859655	0.859655	NUM
aiti-13825	338	14	0.889194	0.889194	NUM
aiti-13825	339	1	nb	nb	INTJ
aiti-13825	339	2	0.858429	0.858429	NUM
aiti-13825	339	3	0.878572	0.878572	NUM
aiti-13825	339	4	0.858429	0.858429	NUM
aiti-13825	339	5	0.878572	0.878572	NUM
aiti-13825	339	6	rf	rf	NOUN
aiti-13825	339	7	0.803377	0.803377	NUM
aiti-13825	339	8	0.870185	0.870185	NUM
aiti-13825	339	9	0.833452	0.833452	NUM
aiti-13825	339	10	0.861523	0.861523	NUM
aiti-13825	339	11	xgboost	xgboost	NOUN
aiti-13825	339	12	0.813778	0.813778	NUM
aiti-13825	339	13	0.812992	0.812992	NUM
aiti-13825	340	1	0.794058	0.794058	NUM
aiti-13825	340	2	0.842376	0.842376	NUM
aiti-13825	340	3	mlp	mlp	NOUN
aiti-13825	340	4	0.83349	0.83349	NUM
aiti-13825	340	5	0.860202	0.860202	NUM
aiti-13825	340	6	0.872178	0.872178	NUM
aiti-13825	340	7	0.920871	0.920871	NUM
aiti-13825	340	8	hybrid	hybrid	NOUN
aiti-13825	340	9	ensemble	ensemble	ADJ
aiti-13825	340	10	0.891385	0.891385	NUM
aiti-13825	340	11	0.929749	0.929749	NUM
aiti-13825	340	12	0.862549	0.862549	NUM
aiti-13825	340	13	0.91056	0.91056	NUM
aiti-13825	340	14	table	table	NOUN
aiti-13825	340	15	8	8	NUM
aiti-13825	340	16	accuracy	accuracy	NOUN
aiti-13825	340	17	analysis	analysis	NOUN
aiti-13825	340	18	of	of	ADP
aiti-13825	340	19	various	various	ADJ
aiti-13825	340	20	ml	ml	NOUN
aiti-13825	340	21	algorithms	algorithms	PROPN
aiti-13825	340	22	accuracy	accuracy	NOUN
aiti-13825	340	23	ht	ht	PROPN
aiti-13825	340	24	without	without	ADP
aiti-13825	340	25	feature	feature	NOUN
aiti-13825	340	26	selection	selection	NOUN
aiti-13825	340	27	ht	ht	PROPN
aiti-13825	340	28	with	with	ADP
aiti-13825	340	29	feature	feature	NOUN
aiti-13825	340	30	selection	selection	NOUN
aiti-13825	340	31	normal	normal	ADJ
aiti-13825	340	32	without	without	ADP
aiti-13825	340	33	feature	feature	NOUN
aiti-13825	340	34	selection	selection	NOUN
aiti-13825	340	35	normal	normal	ADJ
aiti-13825	340	36	with	with	ADP
aiti-13825	340	37	feature	feature	NOUN
aiti-13825	340	38	selection	selection	NOUN
aiti-13825	340	39	lr	lr	VERB
aiti-13825	340	40	0.792079	0.792079	NUM
aiti-13825	340	41	0.821782	0.821782	NUM
aiti-13825	340	42	0.792079	0.792079	NUM
aiti-13825	340	43	0.821782	0.821782	NUM
aiti-13825	341	1	dt	dt	NOUN
aiti-13825	341	2	0.78297	0.78297	NUM
aiti-13825	342	1	0.792871	0.792871	NUM
aiti-13825	342	2	0.78297	0.78297	NUM
aiti-13825	342	3	0.792871	0.792871	NUM
aiti-13825	342	4	svm	svm	VERB
aiti-13825	342	5	0.872178	0.872178	NUM
aiti-13825	342	6	0.901881	0.901881	NUM
aiti-13825	342	7	0.852376	0.852376	NUM
aiti-13825	342	8	0.89198	0.89198	NUM
aiti-13825	342	9	knn	knn	NOUN
aiti-13825	342	10	0.88198	0.88198	NUM
aiti-13825	342	11	0.901782	0.901782	NUM
aiti-13825	342	12	0.862178	0.862178	NUM
aiti-13825	342	13	0.891881	0.891881	NUM
aiti-13825	342	14	nb	nb	NOUN
aiti-13825	342	15	0.862178	0.862178	NUM
aiti-13825	342	16	0.88198	0.88198	NUM
aiti-13825	342	17	0.862178	0.862178	NUM
aiti-13825	342	18	0.88198	0.88198	NUM
aiti-13825	342	19	rf	rf	VERB
aiti-13825	342	20	0.802772	0.802772	NUM
aiti-13825	342	21	0.872079	0.872079	NUM
aiti-13825	342	22	0.832475	0.832475	NUM
aiti-13825	342	23	0.862178	0.862178	NUM
aiti-13825	342	24	xgboost	xgboost	NOUN
aiti-13825	342	25	0.812673	0.812673	NUM
aiti-13825	342	26	0.812673	0.812673	NUM
aiti-13825	342	27	0.792871	0.792871	NUM
aiti-13825	343	1	0.842376	0.842376	NUM
aiti-13825	343	2	mlp	mlp	NOUN
aiti-13825	343	3	0.822574	0.822574	NUM
aiti-13825	343	4	0.852277	0.852277	NUM
aiti-13825	343	5	0.862178	0.862178	NUM
aiti-13825	343	6	0.911683	0.911683	NUM
aiti-13825	343	7	hybrid	hybrid	NOUN
aiti-13825	343	8	ensemble	ensemble	ADJ
aiti-13825	343	9	0.89198	0.89198	NUM
aiti-13825	343	10	0.931584	0.931584	NUM
aiti-13825	343	11	0.862277	0.862277	NUM
aiti-13825	343	12	0.911782	0.911782	NUM
aiti-13825	343	13	advances	advance	NOUN
aiti-13825	343	14	in	in	ADP
aiti-13825	343	15	technology	technology	NOUN
aiti-13825	343	16	innovation	innovation	NOUN
aiti-13825	343	17	,	,	PUNCT
aiti-13825	343	18	vol	vol	NOUN
aiti-13825	343	19	.	.	PROPN
aiti-13825	344	1	10	10	NUM
aiti-13825	344	2	,	,	PUNCT
aiti-13825	344	3	no	no	INTJ
aiti-13825	344	4	.	.	NOUN
aiti-13825	344	5	1	1	NUM
aiti-13825	344	6	,	,	PUNCT
aiti-13825	344	7	2025	2025	NUM
aiti-13825	344	8	,	,	PUNCT
aiti-13825	344	9	pp	pp	ADJ
aiti-13825	344	10	.	.	PUNCT
aiti-13825	345	1	58	58	NUM
aiti-13825	345	2	-	-	SYM
aiti-13825	345	3	71	71	NUM
aiti-13825	345	4	69	69	NUM
aiti-13825	345	5	the	the	DET
aiti-13825	345	6	literature	literature	NOUN
aiti-13825	345	7	review	review	NOUN
aiti-13825	346	1	[	[	X
aiti-13825	346	2	8	8	NUM
aiti-13825	346	3	-	-	SYM
aiti-13825	346	4	9	9	NUM
aiti-13825	346	5	,	,	PUNCT
aiti-13825	346	6	13	13	NUM
aiti-13825	346	7	,	,	PUNCT
aiti-13825	346	8	15	15	NUM
aiti-13825	346	9	]	]	PUNCT
aiti-13825	346	10	indicates	indicate	VERB
aiti-13825	346	11	that	that	SCONJ
aiti-13825	346	12	various	various	ADJ
aiti-13825	346	13	ml	ml	NOUN
aiti-13825	346	14	models	model	NOUN
aiti-13825	346	15	,	,	PUNCT
aiti-13825	346	16	including	include	VERB
aiti-13825	346	17	knn	knn	PROPN
aiti-13825	346	18	,	,	PUNCT
aiti-13825	346	19	svm	svm	PROPN
aiti-13825	346	20	,	,	PUNCT
aiti-13825	346	21	dt	dt	PROPN
aiti-13825	346	22	,	,	PUNCT
aiti-13825	346	23	nb	nb	PROPN
aiti-13825	346	24	,	,	PUNCT
aiti-13825	346	25	adaboost	adaboost	ADV
aiti-13825	346	26	,	,	PUNCT
aiti-13825	346	27	and	and	CCONJ
aiti-13825	346	28	gradient	gradient	ADJ
aiti-13825	346	29	boost	boost	NOUN
aiti-13825	346	30	,	,	PUNCT
aiti-13825	346	31	have	have	AUX
aiti-13825	346	32	been	be	AUX
aiti-13825	346	33	tested	test	VERB
aiti-13825	346	34	.	.	PUNCT
aiti-13825	347	1	these	these	DET
aiti-13825	347	2	algorithms	algorithm	NOUN
aiti-13825	347	3	use	use	VERB
aiti-13825	347	4	different	different	ADJ
aiti-13825	347	5	feature	feature	NOUN
aiti-13825	347	6	elimination	elimination	NOUN
aiti-13825	347	7	and	and	CCONJ
aiti-13825	347	8	selection	selection	NOUN
aiti-13825	347	9	methods	method	NOUN
aiti-13825	347	10	.	.	PUNCT
aiti-13825	348	1	in	in	ADP
aiti-13825	348	2	salhi	salhi	NOUN
aiti-13825	348	3	et	et	PROPN
aiti-13825	348	4	al	al	PROPN
aiti-13825	348	5	.	.	PUNCT
aiti-13825	349	1	[	[	X
aiti-13825	349	2	13	13	NUM
aiti-13825	349	3	]	]	PUNCT
aiti-13825	349	4	,	,	PUNCT
aiti-13825	349	5	the	the	DET
aiti-13825	349	6	authors	author	NOUN
aiti-13825	349	7	ranked	rank	VERB
aiti-13825	349	8	features	feature	NOUN
aiti-13825	349	9	using	use	VERB
aiti-13825	349	10	the	the	DET
aiti-13825	349	11	pearson	pearson	NOUN
aiti-13825	349	12	correlation	correlation	NOUN
aiti-13825	349	13	method	method	NOUN
aiti-13825	349	14	.	.	PUNCT
aiti-13825	350	1	however	however	ADV
aiti-13825	350	2	,	,	PUNCT
aiti-13825	350	3	out	out	ADP
aiti-13825	350	4	of	of	ADP
aiti-13825	350	5	14	14	NUM
aiti-13825	350	6	,	,	PUNCT
aiti-13825	350	7	they	they	PRON
aiti-13825	350	8	eliminated	eliminate	VERB
aiti-13825	350	9	only	only	ADV
aiti-13825	350	10	one	one	NUM
aiti-13825	350	11	feature	feature	NOUN
aiti-13825	350	12	in	in	ADP
aiti-13825	350	13	the	the	DET
aiti-13825	350	14	experiment	experiment	NOUN
aiti-13825	350	15	.	.	PUNCT
aiti-13825	351	1	the	the	DET
aiti-13825	351	2	major	major	ADJ
aiti-13825	351	3	weakness	weakness	NOUN
aiti-13825	351	4	of	of	ADP
aiti-13825	351	5	the	the	DET
aiti-13825	351	6	pearson	pearson	NOUN
aiti-13825	351	7	correlation	correlation	NOUN
aiti-13825	351	8	is	be	AUX
aiti-13825	351	9	that	that	SCONJ
aiti-13825	351	10	it	it	PRON
aiti-13825	351	11	considers	consider	VERB
aiti-13825	351	12	all	all	DET
aiti-13825	351	13	features	feature	NOUN
aiti-13825	351	14	independent	independent	ADJ
aiti-13825	351	15	and	and	CCONJ
aiti-13825	351	16	,	,	PUNCT
aiti-13825	351	17	therefore	therefore	ADV
aiti-13825	351	18	,	,	PUNCT
aiti-13825	351	19	fails	fail	VERB
aiti-13825	351	20	to	to	PART
aiti-13825	351	21	eliminate	eliminate	VERB
aiti-13825	351	22	redundant	redundant	ADJ
aiti-13825	351	23	features	feature	NOUN
aiti-13825	351	24	.	.	PUNCT
aiti-13825	352	1	muhammad	muhammad	PROPN
aiti-13825	352	2	et	et	PROPN
aiti-13825	352	3	al	al	PROPN
aiti-13825	352	4	.	.	PUNCT
aiti-13825	353	1	[	[	X
aiti-13825	353	2	15	15	NUM
aiti-13825	353	3	]	]	PUNCT
aiti-13825	353	4	used	use	VERB
aiti-13825	353	5	a	a	DET
aiti-13825	353	6	fast	fast	ADJ
aiti-13825	353	7	correlation	correlation	NOUN
aiti-13825	353	8	filter	filter	NOUN
aiti-13825	353	9	(	(	PUNCT
aiti-13825	353	10	fcf	fcf	NOUN
aiti-13825	353	11	)	)	PUNCT
aiti-13825	353	12	to	to	PART
aiti-13825	353	13	choose	choose	VERB
aiti-13825	353	14	the	the	DET
aiti-13825	353	15	top	top	ADJ
aiti-13825	353	16	features	feature	NOUN
aiti-13825	353	17	from	from	ADP
aiti-13825	353	18	the	the	DET
aiti-13825	353	19	list	list	NOUN
aiti-13825	353	20	of	of	ADP
aiti-13825	353	21	14	14	NUM
aiti-13825	353	22	.	.	PUNCT
aiti-13825	354	1	fcf	fcf	PROPN
aiti-13825	354	2	calculates	calculate	VERB
aiti-13825	354	3	symmetrical	symmetrical	ADJ
aiti-13825	354	4	uncertainty	uncertainty	NOUN
aiti-13825	354	5	to	to	PART
aiti-13825	354	6	find	find	VERB
aiti-13825	354	7	the	the	DET
aiti-13825	354	8	high	high	ADJ
aiti-13825	354	9	correlation	correlation	NOUN
aiti-13825	354	10	,	,	PUNCT
aiti-13825	354	11	and	and	CCONJ
aiti-13825	354	12	six	six	NUM
aiti-13825	354	13	features	feature	NOUN
aiti-13825	354	14	were	be	AUX
aiti-13825	354	15	selected	select	VERB
aiti-13825	354	16	based	base	VERB
aiti-13825	354	17	on	on	ADP
aiti-13825	354	18	the	the	DET
aiti-13825	354	19	ranking	ranking	NOUN
aiti-13825	354	20	results	result	NOUN
aiti-13825	354	21	.	.	PUNCT
aiti-13825	355	1	among	among	ADP
aiti-13825	355	2	all	all	DET
aiti-13825	355	3	ml	ml	NOUN
aiti-13825	355	4	models	model	NOUN
aiti-13825	355	5	,	,	PUNCT
aiti-13825	355	6	rf	rf	PRON
aiti-13825	355	7	succeeded	succeed	VERB
aiti-13825	355	8	with	with	ADP
aiti-13825	355	9	88.48	88.48	NUM
aiti-13825	355	10	%	%	NOUN
aiti-13825	355	11	accuracy	accuracy	NOUN
aiti-13825	355	12	.	.	PUNCT
aiti-13825	356	1	however	however	ADV
aiti-13825	356	2	,	,	PUNCT
aiti-13825	356	3	their	their	PRON
aiti-13825	356	4	recall	recall	NOUN
aiti-13825	356	5	rate	rate	NOUN
aiti-13825	356	6	is	be	AUX
aiti-13825	356	7	limited	limit	VERB
aiti-13825	356	8	to	to	ADP
aiti-13825	356	9	85.57	85.57	NUM
aiti-13825	356	10	%	%	NOUN
aiti-13825	356	11	.	.	PUNCT
aiti-13825	357	1	alfadli	alfadli	INTJ
aiti-13825	357	2	and	and	CCONJ
aiti-13825	357	3	almagrabi	almagrabi	NOUN
aiti-13825	357	4	[	[	X
aiti-13825	357	5	28	28	NUM
aiti-13825	357	6	]	]	PUNCT
aiti-13825	357	7	used	use	VERB
aiti-13825	357	8	chi	chi	NOUN
aiti-13825	357	9	-	-	PUNCT
aiti-13825	357	10	squared	square	VERB
aiti-13825	357	11	distance	distance	NOUN
aiti-13825	357	12	for	for	ADP
aiti-13825	357	13	feature	feature	NOUN
aiti-13825	357	14	ranking	rank	VERB
aiti-13825	357	15	and	and	CCONJ
aiti-13825	357	16	selected	select	VERB
aiti-13825	357	17	seven	seven	NUM
aiti-13825	357	18	highly	highly	ADV
aiti-13825	357	19	ranked	rank	VERB
aiti-13825	357	20	features	feature	NOUN
aiti-13825	357	21	.	.	PUNCT
aiti-13825	358	1	they	they	PRON
aiti-13825	358	2	trained	train	VERB
aiti-13825	358	3	multiple	multiple	ADJ
aiti-13825	358	4	ml	ml	NOUN
aiti-13825	358	5	models	model	NOUN
aiti-13825	358	6	using	use	VERB
aiti-13825	358	7	different	different	ADJ
aiti-13825	358	8	hyperparameter	hyperparameter	NOUN
aiti-13825	358	9	configurations	configuration	NOUN
aiti-13825	358	10	.	.	PUNCT
aiti-13825	359	1	their	their	PRON
aiti-13825	359	2	accuracy	accuracy	NOUN
aiti-13825	359	3	is	be	AUX
aiti-13825	359	4	limited	limit	VERB
aiti-13825	359	5	to	to	ADP
aiti-13825	359	6	83.15	83.15	NUM
aiti-13825	359	7	%	%	NOUN
aiti-13825	359	8	.	.	PUNCT
aiti-13825	360	1	sarra	sarra	PROPN
aiti-13825	360	2	et	et	PROPN
aiti-13825	360	3	al	al	PROPN
aiti-13825	360	4	.	.	PUNCT
aiti-13825	361	1	[	[	X
aiti-13825	361	2	29	29	NUM
aiti-13825	361	3	]	]	PUNCT
aiti-13825	361	4	tested	test	VERB
aiti-13825	361	5	different	different	ADJ
aiti-13825	361	6	ml	ml	NOUN
aiti-13825	361	7	models	model	NOUN
aiti-13825	361	8	.	.	PUNCT
aiti-13825	362	1	they	they	PRON
aiti-13825	362	2	also	also	ADV
aiti-13825	362	3	used	use	VERB
aiti-13825	362	4	chi	chi	NOUN
aiti-13825	362	5	-	-	PUNCT
aiti-13825	362	6	squared	square	VERB
aiti-13825	362	7	distance	distance	NOUN
aiti-13825	362	8	to	to	PART
aiti-13825	362	9	find	find	VERB
aiti-13825	362	10	the	the	DET
aiti-13825	362	11	important	important	ADJ
aiti-13825	362	12	features	feature	NOUN
aiti-13825	362	13	from	from	ADP
aiti-13825	362	14	the	the	DET
aiti-13825	362	15	14	14	NUM
aiti-13825	362	16	features	feature	NOUN
aiti-13825	362	17	.	.	PUNCT
aiti-13825	363	1	their	their	PRON
aiti-13825	363	2	study	study	NOUN
aiti-13825	363	3	showed	show	VERB
aiti-13825	363	4	that	that	SCONJ
aiti-13825	363	5	svm	svm	PROPN
aiti-13825	363	6	was	be	AUX
aiti-13825	363	7	the	the	DET
aiti-13825	363	8	most	most	ADV
aiti-13825	363	9	accurate	accurate	ADJ
aiti-13825	363	10	among	among	ADP
aiti-13825	363	11	knn	knn	PROPN
aiti-13825	363	12	and	and	CCONJ
aiti-13825	363	13	ann	ann	PROPN
aiti-13825	363	14	,	,	PUNCT
aiti-13825	363	15	with	with	ADP
aiti-13825	363	16	89.47	89.47	NUM
aiti-13825	363	17	%	%	NOUN
aiti-13825	363	18	accuracy	accuracy	NOUN
aiti-13825	363	19	using	use	VERB
aiti-13825	363	20	six	six	NUM
aiti-13825	363	21	feature	feature	NOUN
aiti-13825	363	22	sets	set	NOUN
aiti-13825	363	23	.	.	PUNCT
aiti-13825	364	1	thus	thus	ADV
aiti-13825	364	2	,	,	PUNCT
aiti-13825	364	3	chisquare	chisquare	PROPN
aiti-13825	364	4	(	(	PUNCT
aiti-13825	364	5	x2	x2	ADJ
aiti-13825	364	6	-	-	PUNCT
aiti-13825	364	7	distance	distance	NOUN
aiti-13825	364	8	)	)	PUNCT
aiti-13825	364	9	performed	perform	VERB
aiti-13825	364	10	well	well	ADV
aiti-13825	364	11	in	in	ADP
aiti-13825	364	12	ranking	rank	VERB
aiti-13825	364	13	the	the	DET
aiti-13825	364	14	features	feature	NOUN
aiti-13825	364	15	,	,	PUNCT
aiti-13825	364	16	but	but	CCONJ
aiti-13825	364	17	its	its	PRON
aiti-13825	364	18	weakness	weakness	NOUN
aiti-13825	364	19	is	be	AUX
aiti-13825	364	20	that	that	SCONJ
aiti-13825	364	21	it	it	PRON
aiti-13825	364	22	works	work	VERB
aiti-13825	364	23	well	well	ADV
aiti-13825	364	24	for	for	ADP
aiti-13825	364	25	small	small	ADJ
aiti-13825	364	26	-	-	PUNCT
aiti-13825	364	27	size	size	NOUN
aiti-13825	364	28	feature	feature	NOUN
aiti-13825	364	29	sets	set	NOUN
aiti-13825	364	30	.	.	PUNCT
aiti-13825	365	1	reduced	reduce	VERB
aiti-13825	365	2	processing	processing	NOUN
aiti-13825	365	3	load	load	NOUN
aiti-13825	365	4	and	and	CCONJ
aiti-13825	365	5	improved	improved	ADJ
aiti-13825	365	6	system	system	NOUN
aiti-13825	365	7	performance	performance	NOUN
aiti-13825	365	8	were	be	AUX
aiti-13825	365	9	achieved	achieve	VERB
aiti-13825	365	10	by	by	ADP
aiti-13825	365	11	removing	remove	VERB
aiti-13825	365	12	superfluous	superfluous	ADJ
aiti-13825	365	13	and	and	CCONJ
aiti-13825	365	14	redundant	redundant	ADJ
aiti-13825	365	15	characteristics	characteristic	NOUN
aiti-13825	365	16	and	and	CCONJ
aiti-13825	365	17	selecting	select	VERB
aiti-13825	365	18	the	the	DET
aiti-13825	365	19	essential	essential	ADJ
aiti-13825	365	20	ones	one	NOUN
aiti-13825	365	21	[	[	X
aiti-13825	365	22	30	30	NUM
aiti-13825	365	23	]	]	PUNCT
aiti-13825	365	24	.	.	PUNCT
aiti-13825	366	1	further	far	ADV
aiti-13825	366	2	improving	improve	VERB
aiti-13825	366	3	system	system	NOUN
aiti-13825	366	4	performance	performance	NOUN
aiti-13825	366	5	,	,	PUNCT
aiti-13825	366	6	a	a	DET
aiti-13825	366	7	unique	unique	ADJ
aiti-13825	366	8	feature	feature	NOUN
aiti-13825	366	9	weight	weight	NOUN
aiti-13825	366	10	for	for	ADP
aiti-13825	366	11	each	each	DET
aiti-13825	366	12	class	class	NOUN
aiti-13825	366	13	was	be	AUX
aiti-13825	366	14	computed	compute	VERB
aiti-13825	366	15	using	use	VERB
aiti-13825	366	16	the	the	DET
aiti-13825	366	17	conditional	conditional	ADJ
aiti-13825	366	18	probability	probability	NOUN
aiti-13825	366	19	technique	technique	NOUN
aiti-13825	366	20	.	.	PUNCT
aiti-13825	367	1	the	the	DET
aiti-13825	367	2	prediction	prediction	NOUN
aiti-13825	367	3	of	of	ADP
aiti-13825	367	4	heart	heart	NOUN
aiti-13825	367	5	disease	disease	NOUN
aiti-13825	367	6	was	be	AUX
aiti-13825	367	7	also	also	ADV
aiti-13825	367	8	trained	train	VERB
aiti-13825	367	9	into	into	ADP
aiti-13825	367	10	a	a	DET
aiti-13825	367	11	deep	deep	ADJ
aiti-13825	367	12	-	-	PUNCT
aiti-13825	367	13	learning	learn	VERB
aiti-13825	367	14	ensemble	ensemble	ADJ
aiti-13825	367	15	model	model	NOUN
aiti-13825	367	16	.	.	PUNCT
aiti-13825	368	1	the	the	DET
aiti-13825	368	2	authors	author	NOUN
aiti-13825	368	3	reduced	reduce	VERB
aiti-13825	368	4	the	the	DET
aiti-13825	368	5	feature	feature	NOUN
aiti-13825	368	6	sets	set	NOUN
aiti-13825	368	7	to	to	ADP
aiti-13825	368	8	14	14	NUM
aiti-13825	368	9	out	out	ADP
aiti-13825	368	10	of	of	ADP
aiti-13825	368	11	23	23	NUM
aiti-13825	368	12	and	and	CCONJ
aiti-13825	368	13	received	receive	VERB
aiti-13825	368	14	83.5	83.5	NUM
aiti-13825	368	15	%	%	NOUN
aiti-13825	368	16	accuracy	accuracy	NOUN
aiti-13825	368	17	.	.	PUNCT
aiti-13825	369	1	therefore	therefore	ADV
aiti-13825	369	2	,	,	PUNCT
aiti-13825	369	3	the	the	DET
aiti-13825	369	4	rfe	rfe	NOUN
aiti-13825	369	5	method	method	NOUN
aiti-13825	369	6	is	be	AUX
aiti-13825	369	7	used	use	VERB
aiti-13825	369	8	in	in	ADP
aiti-13825	369	9	the	the	DET
aiti-13825	369	10	proposed	propose	VERB
aiti-13825	369	11	model	model	NOUN
aiti-13825	369	12	.	.	PUNCT
aiti-13825	370	1	six	six	NUM
aiti-13825	370	2	relevant	relevant	ADJ
aiti-13825	370	3	features	feature	NOUN
aiti-13825	370	4	were	be	AUX
aiti-13825	370	5	obtained	obtain	VERB
aiti-13825	370	6	and	and	CCONJ
aiti-13825	370	7	used	use	VERB
aiti-13825	370	8	to	to	PART
aiti-13825	370	9	train	train	VERB
aiti-13825	370	10	various	various	ADJ
aiti-13825	370	11	ml	ml	NOUN
aiti-13825	370	12	models	model	NOUN
aiti-13825	370	13	.	.	PUNCT
aiti-13825	371	1	to	to	PART
aiti-13825	371	2	improve	improve	VERB
aiti-13825	371	3	the	the	DET
aiti-13825	371	4	performance	performance	NOUN
aiti-13825	371	5	,	,	PUNCT
aiti-13825	371	6	the	the	DET
aiti-13825	371	7	hyperparameters	hyperparameter	NOUN
aiti-13825	371	8	of	of	ADP
aiti-13825	371	9	all	all	DET
aiti-13825	371	10	models	model	NOUN
aiti-13825	371	11	are	be	AUX
aiti-13825	371	12	optimized	optimize	VERB
aiti-13825	371	13	using	use	VERB
aiti-13825	371	14	the	the	DET
aiti-13825	371	15	greedy	greedy	ADJ
aiti-13825	371	16	search	search	NOUN
aiti-13825	371	17	algorithm	algorithm	NOUN
aiti-13825	371	18	.	.	PUNCT
aiti-13825	372	1	another	another	PRON
aiti-13825	372	2	can	can	AUX
aiti-13825	372	3	handle	handle	VERB
aiti-13825	372	4	the	the	DET
aiti-13825	372	5	weakness	weakness	NOUN
aiti-13825	372	6	of	of	ADP
aiti-13825	372	7	one	one	NUM
aiti-13825	372	8	model	model	NOUN
aiti-13825	372	9	,	,	PUNCT
aiti-13825	372	10	and	and	CCONJ
aiti-13825	372	11	therefore	therefore	ADV
aiti-13825	372	12	,	,	PUNCT
aiti-13825	372	13	their	their	PRON
aiti-13825	372	14	ensemble	ensemble	ADJ
aiti-13825	372	15	approach	approach	NOUN
aiti-13825	372	16	succeeded	succeed	VERB
aiti-13825	372	17	in	in	ADP
aiti-13825	372	18	performing	perform	VERB
aiti-13825	372	19	better	well	ADV
aiti-13825	372	20	than	than	ADP
aiti-13825	372	21	other	other	ADJ
aiti-13825	372	22	models	model	NOUN
aiti-13825	372	23	.	.	PUNCT
aiti-13825	373	1	table	table	NOUN
aiti-13825	373	2	9	9	NUM
aiti-13825	373	3	shows	show	VERB
aiti-13825	373	4	the	the	DET
aiti-13825	373	5	comparative	comparative	ADJ
aiti-13825	373	6	studies	study	NOUN
aiti-13825	373	7	of	of	ADP
aiti-13825	373	8	different	different	ADJ
aiti-13825	373	9	models	model	NOUN
aiti-13825	373	10	and	and	CCONJ
aiti-13825	373	11	proposed	propose	VERB
aiti-13825	373	12	methods	method	NOUN
aiti-13825	373	13	.	.	PUNCT
aiti-13825	374	1	table	table	NOUN
aiti-13825	374	2	9	9	NUM
aiti-13825	374	3	comparison	comparison	NOUN
aiti-13825	374	4	of	of	ADP
aiti-13825	374	5	models	model	NOUN
aiti-13825	374	6	utilizing	utilize	VERB
aiti-13825	374	7	feature	feature	NOUN
aiti-13825	374	8	reduction	reduction	NOUN
aiti-13825	374	9	method	method	NOUN
aiti-13825	374	10	and	and	CCONJ
aiti-13825	374	11	ml	ml	NOUN
aiti-13825	374	12	models	model	NOUN
aiti-13825	374	13	ref	ref	VERB
aiti-13825	374	14	.	.	PUNCT
aiti-13825	375	1	year	year	NOUN
aiti-13825	375	2	model	model	NOUN
aiti-13825	375	3	feature	feature	NOUN
aiti-13825	375	4	selection	selection	NOUN
aiti-13825	375	5	method	method	NOUN
aiti-13825	375	6	reduced	reduce	VERB
aiti-13825	375	7	features	feature	VERB
aiti-13825	375	8	number	number	NOUN
aiti-13825	375	9	accuracy	accuracy	NOUN
aiti-13825	375	10	precision	precision	NOUN
aiti-13825	375	11	recall	recall	VERB
aiti-13825	375	12	tarawneh	tarawneh	PROPN
aiti-13825	375	13	and	and	CCONJ
aiti-13825	375	14	embarak	embarak	VERB
aiti-13825	376	1	[	[	X
aiti-13825	376	2	9	9	NUM
aiti-13825	376	3	]	]	SYM
aiti-13825	376	4	2019	2019	NUM
aiti-13825	376	5	svm	svm	PROPN
aiti-13825	376	6	,	,	PUNCT
aiti-13825	376	7	knn	knn	PROPN
aiti-13825	376	8	,	,	PUNCT
aiti-13825	376	9	ann	ann	PROPN
aiti-13825	376	10	,	,	PUNCT
aiti-13825	376	11	nb	nb	PROPN
aiti-13825	376	12	,	,	PUNCT
aiti-13825	376	13	dt	dt	X
aiti-13825	376	14	symmetrical	symmetrical	ADJ
aiti-13825	376	15	uncertainty	uncertainty	NOUN
aiti-13825	376	16	and	and	CCONJ
aiti-13825	376	17	one	one	NUM
aiti-13825	376	18	r	r	NOUN
aiti-13825	376	19	selection	selection	NOUN
aiti-13825	376	20	12	12	NUM
aiti-13825	376	21	83.75	83.75	NUM
aiti-13825	376	22	81.15	81.15	NUM
aiti-13825	376	23	82.35	82.35	NUM
aiti-13825	376	24	burse	burse	NOUN
aiti-13825	376	25	et	et	PROPN
aiti-13825	376	26	al	al	PROPN
aiti-13825	376	27	.	.	PUNCT
aiti-13825	377	1	[	[	X
aiti-13825	377	2	14	14	NUM
aiti-13825	377	3	]	]	SYM
aiti-13825	377	4	2019	2019	NUM
aiti-13825	377	5	mlpsn	mlpsn	NOUN
aiti-13825	377	6	14	14	NUM
aiti-13825	377	7	90.44	90.44	NUM
aiti-13825	377	8	svm	svm	PROPN
aiti-13825	377	9	pca	pca	PROPN
aiti-13825	377	10	4	4	NUM
aiti-13825	377	11	88.32	88.32	NUM
aiti-13825	377	12	shah	shah	NOUN
aiti-13825	377	13	et	et	PROPN
aiti-13825	377	14	al	al	PROPN
aiti-13825	377	15	.	.	PUNCT
aiti-13825	378	1	[	[	X
aiti-13825	378	2	8	8	NUM
aiti-13825	378	3	]	]	SYM
aiti-13825	378	4	2020	2020	NUM
aiti-13825	378	5	knn	knn	PROPN
aiti-13825	378	6	,	,	PUNCT
aiti-13825	378	7	nb	nb	PROPN
aiti-13825	378	8	,	,	PUNCT
aiti-13825	378	9	dt	dt	PROPN
aiti-13825	378	10	14	14	NUM
aiti-13825	378	11	90.78	90.78	NUM
aiti-13825	378	12	muhammad	muhammad	PROPN
aiti-13825	378	13	et	et	PROPN
aiti-13825	378	14	al	al	PROPN
aiti-13825	378	15	.	.	PUNCT
aiti-13825	379	1	[	[	X
aiti-13825	379	2	15	15	NUM
aiti-13825	379	3	]	]	SYM
aiti-13825	379	4	2020	2020	NUM
aiti-13825	379	5	dt	dt	PROPN
aiti-13825	379	6	,	,	PUNCT
aiti-13825	379	7	knn	knn	PROPN
aiti-13825	379	8	,	,	PUNCT
aiti-13825	379	9	etc	etc	X
aiti-13825	379	10	,	,	PUNCT
aiti-13825	379	11	ann	ann	PROPN
aiti-13825	379	12	,	,	PUNCT
aiti-13825	379	13	lr	lr	PROPN
aiti-13825	379	14	,	,	PUNCT
aiti-13825	379	15	rf	rf	NOUN
aiti-13825	379	16	,	,	PUNCT
aiti-13825	379	17	nb	nb	PROPN
aiti-13825	379	18	,	,	PUNCT
aiti-13825	379	19	svm	svm	PROPN
aiti-13825	379	20	,	,	PUNCT
aiti-13825	379	21	gb	gb	PRON
aiti-13825	379	22	,	,	PUNCT
aiti-13825	379	23	ab	ab	PROPN
aiti-13825	379	24	correlation	correlation	NOUN
aiti-13825	379	25	-	-	PUNCT
aiti-13825	379	26	based	base	VERB
aiti-13825	379	27	filter	filter	NOUN
aiti-13825	379	28	6	6	NUM
aiti-13825	379	29	88.48	88.48	NUM
aiti-13825	379	30	90.87	90.87	NUM
aiti-13825	379	31	85.57	85.57	NUM
aiti-13825	379	32	ali	ali	X
aiti-13825	379	33	et	et	PROPN
aiti-13825	379	34	al	al	PROPN
aiti-13825	379	35	.	.	PUNCT
aiti-13825	380	1	[	[	X
aiti-13825	380	2	30	30	NUM
aiti-13825	380	3	]	]	SYM
aiti-13825	380	4	2020	2020	NUM
aiti-13825	380	5	ensemble	ensemble	ADJ
aiti-13825	380	6	deep	deep	ADJ
aiti-13825	380	7	learning	learn	VERB
aiti-13825	380	8	information	information	NOUN
aiti-13825	380	9	gain	gain	VERB
aiti-13825	380	10	14	14	NUM
aiti-13825	380	11	83.5	83.5	NUM
aiti-13825	380	12	84.5	84.5	NUM
aiti-13825	380	13	82.5	82.5	NUM
aiti-13825	380	14	salhi	salhi	NOUN
aiti-13825	380	15	et	et	PROPN
aiti-13825	380	16	al	al	PROPN
aiti-13825	380	17	.	.	PUNCT
aiti-13825	381	1	[	[	X
aiti-13825	381	2	13	13	NUM
aiti-13825	381	3	]	]	SYM
aiti-13825	381	4	2021	2021	NUM
aiti-13825	381	5	knn	knn	PROPN
aiti-13825	381	6	,	,	PUNCT
aiti-13825	381	7	svm	svm	PROPN
aiti-13825	381	8	,	,	PUNCT
aiti-13825	381	9	ann	ann	PROPN
aiti-13825	381	10	pearson	pearson	PROPN
aiti-13825	381	11	correlation	correlation	NOUN
aiti-13825	381	12	method	method	NOUN
aiti-13825	381	13	13	13	NUM
aiti-13825	381	14	93	93	NUM
aiti-13825	381	15	92	92	NUM
aiti-13825	381	16	94	94	NUM
aiti-13825	381	17	sarra	sarra	VERB
aiti-13825	381	18	et	et	PROPN
aiti-13825	381	19	al	al	PROPN
aiti-13825	381	20	.	.	PUNCT
aiti-13825	382	1	[	[	X
aiti-13825	382	2	29	29	NUM
aiti-13825	382	3	]	]	SYM
aiti-13825	382	4	2022	2022	NUM
aiti-13825	382	5	svm	svm	NOUN
aiti-13825	382	6	x2	x2	PROPN
aiti-13825	382	7	feature	feature	NOUN
aiti-13825	382	8	selection	selection	NOUN
aiti-13825	382	9	6	6	NUM
aiti-13825	382	10	89.47	89.47	NUM
aiti-13825	382	11	89.40	89.40	NUM
aiti-13825	382	12	89.40	89.40	NUM
aiti-13825	382	13	alfadli	alfadli	NOUN
aiti-13825	382	14	and	and	CCONJ
aiti-13825	382	15	almagrabi	almagrabi	NOUN
aiti-13825	382	16	[	[	X
aiti-13825	382	17	28	28	NUM
aiti-13825	382	18	]	]	PUNCT
aiti-13825	382	19	2023	2023	NUM
aiti-13825	382	20	ensemble	ensemble	ADJ
aiti-13825	382	21	approach	approach	NOUN
aiti-13825	382	22	x2	x2	NOUN
aiti-13825	382	23	feature	feature	NOUN
aiti-13825	382	24	selection	selection	NOUN
aiti-13825	382	25	7	7	NUM
aiti-13825	382	26	83.15	83.15	NUM
aiti-13825	382	27	83.97	83.97	NUM
aiti-13825	382	28	86.00	86.00	NUM
aiti-13825	382	29	proposed	propose	VERB
aiti-13825	382	30	2024	2024	NUM
aiti-13825	382	31	ensemble	ensemble	ADJ
aiti-13825	382	32	approach	approach	NOUN
aiti-13825	382	33	recursive	recursive	ADJ
aiti-13825	382	34	elimination	elimination	NOUN
aiti-13825	382	35	6	6	NUM
aiti-13825	382	36	93.15	93.15	NUM
aiti-13825	382	37	93.15	93.15	NUM
aiti-13825	382	38	92.97	92.97	NUM
aiti-13825	382	39	5	5	NUM
aiti-13825	382	40	.	.	PUNCT
aiti-13825	383	1	conclusions	conclusion	NOUN
aiti-13825	383	2	and	and	CCONJ
aiti-13825	383	3	future	future	ADJ
aiti-13825	383	4	work	work	NOUN
aiti-13825	383	5	this	this	DET
aiti-13825	383	6	study	study	NOUN
aiti-13825	383	7	significantly	significantly	ADV
aiti-13825	383	8	advances	advance	VERB
aiti-13825	383	9	heart	heart	NOUN
aiti-13825	383	10	disease	disease	NOUN
aiti-13825	383	11	prediction	prediction	NOUN
aiti-13825	383	12	by	by	ADP
aiti-13825	383	13	implementing	implement	VERB
aiti-13825	383	14	a	a	DET
aiti-13825	383	15	robust	robust	ADJ
aiti-13825	383	16	hybrid	hybrid	ADJ
aiti-13825	383	17	ensemble	ensemble	ADJ
aiti-13825	383	18	method	method	NOUN
aiti-13825	383	19	.	.	PUNCT
aiti-13825	384	1	the	the	DET
aiti-13825	384	2	implementation	implementation	NOUN
aiti-13825	384	3	of	of	ADP
aiti-13825	384	4	hyperparameter	hyperparameter	NOUN
aiti-13825	384	5	tuning	tuning	NOUN
aiti-13825	384	6	and	and	CCONJ
aiti-13825	384	7	feature	feature	NOUN
aiti-13825	384	8	selection	selection	NOUN
aiti-13825	384	9	significantly	significantly	ADV
aiti-13825	384	10	enhanced	enhance	VERB
aiti-13825	384	11	prediction	prediction	NOUN
aiti-13825	384	12	accuracy	accuracy	NOUN
aiti-13825	384	13	.	.	PUNCT
aiti-13825	385	1	several	several	ADJ
aiti-13825	385	2	ml	ml	NOUN
aiti-13825	385	3	techniques	technique	NOUN
aiti-13825	385	4	were	be	AUX
aiti-13825	385	5	evaluated	evaluate	VERB
aiti-13825	385	6	,	,	PUNCT
aiti-13825	385	7	including	include	VERB
aiti-13825	385	8	nb	nb	PROPN
aiti-13825	385	9	,	,	PUNCT
aiti-13825	385	10	xgboost	xgboost	PROPN
aiti-13825	385	11	,	,	PUNCT
aiti-13825	385	12	knn	knn	PROPN
aiti-13825	385	13	,	,	PUNCT
aiti-13825	385	14	rf	rf	PROPN
aiti-13825	385	15	,	,	PUNCT
aiti-13825	385	16	dt	dt	X
aiti-13825	385	17	,	,	PUNCT
aiti-13825	385	18	lr	lr	PROPN
aiti-13825	385	19	,	,	PUNCT
aiti-13825	385	20	svm	svm	ADJ
aiti-13825	385	21	,	,	PUNCT
aiti-13825	385	22	and	and	CCONJ
aiti-13825	385	23	mlp	mlp	NOUN
aiti-13825	385	24	.	.	PUNCT
aiti-13825	386	1	despite	despite	SCONJ
aiti-13825	386	2	reducing	reduce	VERB
aiti-13825	386	3	features	feature	NOUN
aiti-13825	386	4	to	to	ADP
aiti-13825	386	5	six	six	NUM
aiti-13825	386	6	using	use	VERB
aiti-13825	386	7	rfe	rfe	NOUN
aiti-13825	386	8	,	,	PUNCT
aiti-13825	386	9	the	the	DET
aiti-13825	386	10	hybrid	hybrid	NOUN
aiti-13825	386	11	model	model	NOUN
aiti-13825	386	12	achieved	achieve	VERB
aiti-13825	386	13	strong	strong	ADJ
aiti-13825	386	14	results	result	NOUN
aiti-13825	386	15	:	:	PUNCT
aiti-13825	386	16	93.15	93.15	NUM
aiti-13825	386	17	%	%	NOUN
aiti-13825	386	18	accuracy	accuracy	NOUN
aiti-13825	386	19	,	,	PUNCT
aiti-13825	386	20	93.15	93.15	NUM
aiti-13825	386	21	%	%	NOUN
aiti-13825	386	22	precision	precision	NOUN
aiti-13825	386	23	,	,	PUNCT
aiti-13825	386	24	and	and	CCONJ
aiti-13825	386	25	92.97	92.97	NUM
aiti-13825	386	26	%	%	NOUN
aiti-13825	386	27	recall	recall	NOUN
aiti-13825	386	28	.	.	PUNCT
aiti-13825	387	1	dt	dt	PUNCT
aiti-13825	387	2	using	use	VERB
aiti-13825	387	3	rfe	rfe	NOUN
aiti-13825	387	4	advances	advance	NOUN
aiti-13825	387	5	in	in	ADP
aiti-13825	387	6	technology	technology	NOUN
aiti-13825	387	7	innovation	innovation	NOUN
aiti-13825	387	8	,	,	PUNCT
aiti-13825	387	9	vol	vol	NOUN
aiti-13825	387	10	.	.	PROPN
aiti-13825	387	11	10	10	NUM
aiti-13825	387	12	,	,	PUNCT
aiti-13825	387	13	no	no	INTJ
aiti-13825	387	14	.	.	NOUN
aiti-13825	387	15	1	1	NUM
aiti-13825	387	16	,	,	PUNCT
aiti-13825	387	17	2025	2025	NUM
aiti-13825	387	18	,	,	PUNCT
aiti-13825	387	19	pp	pp	ADJ
aiti-13825	387	20	.	.	PUNCT
aiti-13825	388	1	58	58	NUM
aiti-13825	388	2	-	-	SYM
aiti-13825	388	3	71	71	NUM
aiti-13825	388	4	70	70	NUM
aiti-13825	388	5	had	have	VERB
aiti-13825	388	6	a	a	DET
aiti-13825	388	7	minimum	minimum	ADJ
aiti-13825	388	8	accuracy	accuracy	NOUN
aiti-13825	388	9	of	of	ADP
aiti-13825	388	10	79.15	79.15	NUM
aiti-13825	388	11	%	%	NOUN
aiti-13825	388	12	,	,	PUNCT
aiti-13825	388	13	with	with	ADP
aiti-13825	388	14	the	the	DET
aiti-13825	388	15	ensemble	ensemble	ADJ
aiti-13825	388	16	approach	approach	NOUN
aiti-13825	388	17	offering	offer	VERB
aiti-13825	388	18	a	a	DET
aiti-13825	388	19	17.52	17.52	NUM
aiti-13825	388	20	%	%	NOUN
aiti-13825	388	21	improvement	improvement	NOUN
aiti-13825	388	22	.	.	PUNCT
aiti-13825	389	1	this	this	DET
aiti-13825	389	2	success	success	NOUN
aiti-13825	389	3	stems	stem	VERB
aiti-13825	389	4	from	from	ADP
aiti-13825	389	5	hyperparameter	hyperparameter	NOUN
aiti-13825	389	6	tuning	tuning	NOUN
aiti-13825	389	7	and	and	CCONJ
aiti-13825	389	8	feature	feature	NOUN
aiti-13825	389	9	selection	selection	NOUN
aiti-13825	389	10	optimizing	optimizing	NOUN
aiti-13825	389	11	model	model	NOUN
aiti-13825	389	12	performance	performance	NOUN
aiti-13825	389	13	,	,	PUNCT
aiti-13825	389	14	demonstrating	demonstrate	VERB
aiti-13825	389	15	that	that	SCONJ
aiti-13825	389	16	focusing	focus	VERB
aiti-13825	389	17	on	on	ADP
aiti-13825	389	18	key	key	ADJ
aiti-13825	389	19	features	feature	NOUN
aiti-13825	389	20	enhances	enhance	VERB
aiti-13825	389	21	early	early	ADJ
aiti-13825	389	22	heart	heart	NOUN
aiti-13825	389	23	disease	disease	NOUN
aiti-13825	389	24	detection	detection	NOUN
aiti-13825	389	25	and	and	CCONJ
aiti-13825	389	26	management	management	NOUN
aiti-13825	389	27	.	.	PUNCT
aiti-13825	390	1	future	future	ADJ
aiti-13825	390	2	efforts	effort	NOUN
aiti-13825	390	3	will	will	AUX
aiti-13825	390	4	explore	explore	VERB
aiti-13825	390	5	alternative	alternative	ADJ
aiti-13825	390	6	optimization	optimization	NOUN
aiti-13825	390	7	methods	method	NOUN
aiti-13825	390	8	for	for	ADP
aiti-13825	390	9	feature	feature	NOUN
aiti-13825	390	10	selection	selection	NOUN
aiti-13825	390	11	and	and	CCONJ
aiti-13825	390	12	hyperparameter	hyperparameter	NOUN
aiti-13825	390	13	tuning	tuning	NOUN
aiti-13825	390	14	.	.	PUNCT
aiti-13825	391	1	integrating	integrate	VERB
aiti-13825	391	2	cnns	cnns	PROPN
aiti-13825	391	3	,	,	PUNCT
aiti-13825	391	4	rnns	rnn	NOUN
aiti-13825	391	5	,	,	PUNCT
aiti-13825	391	6	wearable	wearable	ADJ
aiti-13825	391	7	device	device	NOUN
aiti-13825	391	8	data	datum	NOUN
aiti-13825	391	9	,	,	PUNCT
aiti-13825	391	10	iot	iot	NOUN
aiti-13825	391	11	for	for	ADP
aiti-13825	391	12	real	real	ADJ
aiti-13825	391	13	-	-	PUNCT
aiti-13825	391	14	time	time	NOUN
aiti-13825	391	15	predictions	prediction	NOUN
aiti-13825	391	16	,	,	PUNCT
aiti-13825	391	17	ga	ga	PROPN
aiti-13825	391	18	,	,	PUNCT
aiti-13825	391	19	and	and	CCONJ
aiti-13825	391	20	more	more	ADV
aiti-13825	391	21	diverse	diverse	ADJ
aiti-13825	391	22	populations	population	NOUN
aiti-13825	391	23	will	will	AUX
aiti-13825	391	24	improve	improve	VERB
aiti-13825	391	25	accuracy	accuracy	NOUN
aiti-13825	391	26	.	.	PUNCT
aiti-13825	392	1	a	a	DET
aiti-13825	392	2	user	user	NOUN
aiti-13825	392	3	-	-	PUNCT
aiti-13825	392	4	friendly	friendly	ADJ
aiti-13825	392	5	app	app	NOUN
aiti-13825	392	6	for	for	ADP
aiti-13825	392	7	heart	heart	NOUN
aiti-13825	392	8	health	health	NOUN
aiti-13825	392	9	monitoring	monitoring	NOUN
aiti-13825	392	10	and	and	CCONJ
aiti-13825	392	11	real	real	ADJ
aiti-13825	392	12	-	-	PUNCT
aiti-13825	392	13	time	time	NOUN
aiti-13825	392	14	risk	risk	NOUN
aiti-13825	392	15	assessment	assessment	NOUN
aiti-13825	392	16	is	be	AUX
aiti-13825	392	17	also	also	ADV
aiti-13825	392	18	planned	plan	VERB
aiti-13825	392	19	.	.	PUNCT
aiti-13825	393	1	these	these	DET
aiti-13825	393	2	extensions	extension	NOUN
aiti-13825	393	3	enhance	enhance	VERB
aiti-13825	393	4	the	the	DET
aiti-13825	393	5	model	model	NOUN
aiti-13825	393	6	’s	’s	PART
aiti-13825	393	7	practicality	practicality	NOUN
aiti-13825	393	8	and	and	CCONJ
aiti-13825	393	9	impact	impact	NOUN
aiti-13825	393	10	on	on	ADP
aiti-13825	393	11	cardiovascular	cardiovascular	ADJ
aiti-13825	393	12	health	health	NOUN
aiti-13825	393	13	management	management	NOUN
aiti-13825	393	14	.	.	PUNCT
aiti-13825	394	1	conflicts	conflict	NOUN
aiti-13825	394	2	of	of	ADP
aiti-13825	394	3	interest	interest	NOUN
aiti-13825	394	4	the	the	DET
aiti-13825	394	5	authors	author	NOUN
aiti-13825	394	6	declare	declare	VERB
aiti-13825	394	7	no	no	DET
aiti-13825	394	8	conflict	conflict	NOUN
aiti-13825	394	9	of	of	ADP
aiti-13825	394	10	interest	interest	NOUN
aiti-13825	394	11	.	.	PUNCT
aiti-13825	395	1	statement	statement	NOUN
aiti-13825	395	2	of	of	ADP
aiti-13825	395	3	ethical	ethical	ADJ
aiti-13825	395	4	approval	approval	NOUN
aiti-13825	395	5	(	(	PUNCT
aiti-13825	395	6	a	a	X
aiti-13825	395	7	)	)	PUNCT
aiti-13825	395	8	statement	statement	NOUN
aiti-13825	395	9	of	of	ADP
aiti-13825	395	10	human	human	ADJ
aiti-13825	395	11	rights	right	NOUN
aiti-13825	395	12	for	for	ADP
aiti-13825	395	13	this	this	DET
aiti-13825	395	14	type	type	NOUN
aiti-13825	395	15	of	of	ADP
aiti-13825	395	16	study	study	NOUN
aiti-13825	395	17	,	,	PUNCT
aiti-13825	395	18	statement	statement	NOUN
aiti-13825	395	19	of	of	ADP
aiti-13825	395	20	human	human	ADJ
aiti-13825	395	21	rights	right	NOUN
aiti-13825	395	22	is	be	AUX
aiti-13825	395	23	not	not	PART
aiti-13825	395	24	required	require	VERB
aiti-13825	395	25	.	.	PUNCT
aiti-13825	396	1	(	(	PUNCT
aiti-13825	396	2	b	b	X
aiti-13825	396	3	)	)	PUNCT
aiti-13825	396	4	statement	statement	NOUN
aiti-13825	396	5	on	on	ADP
aiti-13825	396	6	the	the	DET
aiti-13825	396	7	welfare	welfare	NOUN
aiti-13825	396	8	of	of	ADP
aiti-13825	396	9	animals	animal	NOUN
aiti-13825	396	10	for	for	ADP
aiti-13825	396	11	this	this	DET
aiti-13825	396	12	type	type	NOUN
aiti-13825	396	13	of	of	ADP
aiti-13825	396	14	study	study	NOUN
aiti-13825	396	15	,	,	PUNCT
aiti-13825	396	16	statement	statement	NOUN
aiti-13825	396	17	on	on	ADP
aiti-13825	396	18	the	the	DET
aiti-13825	396	19	welfare	welfare	NOUN
aiti-13825	396	20	of	of	ADP
aiti-13825	396	21	animals	animal	NOUN
aiti-13825	396	22	is	be	AUX
aiti-13825	396	23	not	not	PART
aiti-13825	396	24	required	require	VERB
aiti-13825	396	25	.	.	PUNCT
aiti-13825	397	1	statement	statement	NOUN
aiti-13825	397	2	of	of	ADP
aiti-13825	397	3	informed	informed	ADJ
aiti-13825	397	4	consent	consent	NOUN
aiti-13825	397	5	for	for	ADP
aiti-13825	397	6	this	this	DET
aiti-13825	397	7	type	type	NOUN
aiti-13825	397	8	of	of	ADP
aiti-13825	397	9	study	study	NOUN
aiti-13825	397	10	,	,	PUNCT
aiti-13825	397	11	informed	inform	VERB
aiti-13825	397	12	consent	consent	NOUN
aiti-13825	397	13	is	be	AUX
aiti-13825	397	14	not	not	PART
aiti-13825	397	15	required	require	VERB
aiti-13825	397	16	.	.	PUNCT
aiti-13825	398	1	references	reference	NOUN
aiti-13825	398	2	[	[	X
aiti-13825	398	3	1	1	X
aiti-13825	398	4	]	]	PUNCT
aiti-13825	398	5	who	who	PRON
aiti-13825	398	6	,	,	PUNCT
aiti-13825	398	7	cardiovascular	cardiovascular	ADJ
aiti-13825	398	8	diseases	disease	NOUN
aiti-13825	398	9	,	,	PUNCT
aiti-13825	398	10	https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1	https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1	NOUN
aiti-13825	398	11	,	,	PUNCT
aiti-13825	398	12	accessed	access	VERB
aiti-13825	398	13	on	on	ADP
aiti-13825	398	14	2021	2021	NUM
aiti-13825	398	15	.	.	PUNCT
aiti-13825	399	1	[	[	X
aiti-13825	399	2	2	2	NUM
aiti-13825	399	3	]	]	PUNCT
aiti-13825	399	4	american	american	ADJ
aiti-13825	399	5	heart	heart	PROPN
aiti-13825	399	6	association	association	PROPN
aiti-13825	399	7	,	,	PUNCT
aiti-13825	399	8	classes	class	NOUN
aiti-13825	399	9	of	of	ADP
aiti-13825	399	10	heart	heart	NOUN
aiti-13825	399	11	failure	failure	NOUN
aiti-13825	399	12	,	,	PUNCT
aiti-13825	399	13	https://www.heart.org/en/health-topics/heart-failure/what-isheart-failure/classes-of-heart-failure	https://www.heart.org/en/health-topics/heart-failure/what-isheart-failure/classes-of-heart-failure	NOUN
aiti-13825	399	14	,	,	PUNCT
aiti-13825	399	15	accessed	access	VERB
aiti-13825	399	16	on	on	ADP
aiti-13825	399	17	2021	2021	NUM
aiti-13825	399	18	.	.	PUNCT
aiti-13825	400	1	[	[	X
aiti-13825	400	2	3	3	NUM
aiti-13825	400	3	]	]	X
aiti-13825	400	4	american	american	ADJ
aiti-13825	400	5	heart	heart	PROPN
aiti-13825	400	6	association	association	PROPN
aiti-13825	400	7	,	,	PUNCT
aiti-13825	400	8	heart	heart	NOUN
aiti-13825	400	9	failure	failure	NOUN
aiti-13825	400	10	,	,	PUNCT
aiti-13825	400	11	https://www.heart.org/en/health-topics/heart-failure	https://www.heart.org/en/health-topics/heart-failure	NOUN
aiti-13825	400	12	,	,	PUNCT
aiti-13825	400	13	accessed	access	VERB
aiti-13825	400	14	on	on	ADP
aiti-13825	400	15	2021	2021	NUM
aiti-13825	400	16	.	.	PUNCT
aiti-13825	401	1	[	[	X
aiti-13825	401	2	4	4	X
aiti-13825	401	3	]	]	X
aiti-13825	401	4	s.	s.	PROPN
aiti-13825	401	5	shalev	shalev	PROPN
aiti-13825	401	6	-	-	PUNCT
aiti-13825	401	7	shwartz	shwartz	PROPN
aiti-13825	401	8	and	and	CCONJ
aiti-13825	401	9	s	s	PROPN
aiti-13825	401	10	ben	ben	PROPN
aiti-13825	401	11	-	-	PUNCT
aiti-13825	401	12	david	david	PROPN
aiti-13825	401	13	,	,	PUNCT
aiti-13825	401	14	understanding	understand	VERB
aiti-13825	401	15	machine	machine	NOUN
aiti-13825	401	16	learning	learning	NOUN
aiti-13825	401	17	:	:	PUNCT
aiti-13825	401	18	from	from	ADP
aiti-13825	401	19	theory	theory	NOUN
aiti-13825	401	20	to	to	ADP
aiti-13825	401	21	algorithms	algorithm	NOUN
aiti-13825	401	22	,	,	PUNCT
aiti-13825	401	23	new	new	PROPN
aiti-13825	401	24	york	york	PROPN
aiti-13825	401	25	:	:	PUNCT
aiti-13825	401	26	cambridge	cambridge	PROPN
aiti-13825	401	27	university	university	PROPN
aiti-13825	401	28	press	press	NOUN
aiti-13825	401	29	,	,	PUNCT
aiti-13825	401	30	2014	2014	NUM
aiti-13825	401	31	.	.	PUNCT
aiti-13825	402	1	[	[	X
aiti-13825	402	2	5	5	X
aiti-13825	402	3	]	]	PUNCT
aiti-13825	402	4	t.	t.	PROPN
aiti-13825	402	5	hastie	hastie	PROPN
aiti-13825	402	6	,	,	PUNCT
aiti-13825	402	7	r.	r.	PROPN
aiti-13825	402	8	tibshirani	tibshirani	PROPN
aiti-13825	402	9	,	,	PUNCT
aiti-13825	402	10	and	and	CCONJ
aiti-13825	402	11	j.	j.	PROPN
aiti-13825	402	12	h.	h.	PROPN
aiti-13825	402	13	friedman	friedman	PROPN
aiti-13825	402	14	,	,	PUNCT
aiti-13825	402	15	the	the	DET
aiti-13825	402	16	elements	element	NOUN
aiti-13825	402	17	of	of	ADP
aiti-13825	402	18	statistical	statistical	ADJ
aiti-13825	402	19	learning	learning	NOUN
aiti-13825	402	20	:	:	PUNCT
aiti-13825	402	21	data	datum	NOUN
aiti-13825	402	22	mining	mining	NOUN
aiti-13825	402	23	,	,	PUNCT
aiti-13825	402	24	inference	inference	NOUN
aiti-13825	402	25	,	,	PUNCT
aiti-13825	402	26	and	and	CCONJ
aiti-13825	402	27	prediction	prediction	NOUN
aiti-13825	402	28	,	,	PUNCT
aiti-13825	402	29	2nd	2nd	ADJ
aiti-13825	402	30	ed	ed	NOUN
aiti-13825	402	31	.	.	PROPN
aiti-13825	402	32	,	,	PUNCT
aiti-13825	402	33	new	new	PROPN
aiti-13825	402	34	york	york	PROPN
aiti-13825	402	35	:	:	PUNCT
aiti-13825	402	36	springer	springer	NOUN
aiti-13825	402	37	,	,	PUNCT
aiti-13825	402	38	2009	2009	NUM
aiti-13825	402	39	.	.	PUNCT
aiti-13825	403	1	[	[	X
aiti-13825	403	2	6	6	NUM
aiti-13825	403	3	]	]	PUNCT
aiti-13825	403	4	s.	s.	PROPN
aiti-13825	403	5	marsland	marsland	PROPN
aiti-13825	403	6	,	,	PUNCT
aiti-13825	403	7	machine	machine	NOUN
aiti-13825	403	8	learning	learning	NOUN
aiti-13825	403	9	:	:	PUNCT
aiti-13825	403	10	an	an	DET
aiti-13825	403	11	algorithmic	algorithmic	ADJ
aiti-13825	403	12	perspective	perspective	NOUN
aiti-13825	403	13	,	,	PUNCT
aiti-13825	403	14	2nd	2nd	ADJ
aiti-13825	403	15	ed	ed	NOUN
aiti-13825	403	16	.	.	PROPN
aiti-13825	403	17	,	,	PUNCT
aiti-13825	403	18	boca	boca	PROPN
aiti-13825	403	19	raton	raton	PROPN
aiti-13825	403	20	,	,	PUNCT
aiti-13825	403	21	fl	fl	PROPN
aiti-13825	403	22	:	:	PUNCT
aiti-13825	403	23	crc	crc	NOUN
aiti-13825	403	24	press	press	NOUN
aiti-13825	403	25	,	,	PUNCT
aiti-13825	403	26	2015	2015	NUM
aiti-13825	403	27	.	.	PUNCT
aiti-13825	404	1	[	[	X
aiti-13825	404	2	7	7	NUM
aiti-13825	404	3	]	]	X
aiti-13825	404	4	uci	uci	PROPN
aiti-13825	404	5	,	,	PUNCT
aiti-13825	404	6	heart	heart	NOUN
aiti-13825	404	7	disease	disease	NOUN
aiti-13825	404	8	,	,	PUNCT
aiti-13825	404	9	https://archive.ics.uci.edu/dataset/45/heart+disease	https://archive.ics.uci.edu/dataset/45/heart+disease	ADV
aiti-13825	404	10	,	,	PUNCT
aiti-13825	404	11	accessed	access	VERB
aiti-13825	404	12	on	on	ADP
aiti-13825	404	13	2021	2021	NUM
aiti-13825	404	14	[	[	X
aiti-13825	404	15	8	8	NUM
aiti-13825	404	16	]	]	X
aiti-13825	404	17	d.	d.	PROPN
aiti-13825	404	18	shah	shah	PROPN
aiti-13825	404	19	,	,	PUNCT
aiti-13825	404	20	s.	s.	PROPN
aiti-13825	404	21	patel	patel	PROPN
aiti-13825	404	22	,	,	PUNCT
aiti-13825	404	23	and	and	CCONJ
aiti-13825	404	24	s.	s.	PROPN
aiti-13825	404	25	k.	k.	PROPN
aiti-13825	404	26	bharti	bharti	PROPN
aiti-13825	404	27	,	,	PUNCT
aiti-13825	404	28	“	"	PUNCT
aiti-13825	404	29	heart	heart	NOUN
aiti-13825	404	30	disease	disease	NOUN
aiti-13825	404	31	prediction	prediction	NOUN
aiti-13825	404	32	using	use	VERB
aiti-13825	404	33	machine	machine	NOUN
aiti-13825	404	34	learning	learning	NOUN
aiti-13825	404	35	techniques	technique	NOUN
aiti-13825	404	36	,	,	PUNCT
aiti-13825	404	37	”	"	PUNCT
aiti-13825	404	38	sn	sn	PROPN
aiti-13825	404	39	computer	computer	NOUN
aiti-13825	404	40	science	science	NOUN
aiti-13825	404	41	,	,	PUNCT
aiti-13825	404	42	vol	vol	NOUN
aiti-13825	404	43	.	.	PROPN
aiti-13825	404	44	1	1	NUM
aiti-13825	404	45	,	,	PUNCT
aiti-13825	404	46	no	no	INTJ
aiti-13825	404	47	.	.	NOUN
aiti-13825	404	48	6	6	NUM
aiti-13825	404	49	,	,	PUNCT
aiti-13825	404	50	article	article	NOUN
aiti-13825	404	51	no	no	NOUN
aiti-13825	404	52	.	.	PROPN
aiti-13825	404	53	345	345	NUM
aiti-13825	404	54	,	,	PUNCT
aiti-13825	404	55	2020	2020	NUM
aiti-13825	404	56	.	.	PUNCT
aiti-13825	405	1	[	[	X
aiti-13825	405	2	9	9	NUM
aiti-13825	405	3	]	]	PUNCT
aiti-13825	405	4	m.	m.	NOUN
aiti-13825	405	5	tarawneh	tarawneh	PROPN
aiti-13825	405	6	and	and	CCONJ
aiti-13825	405	7	o.	o.	PROPN
aiti-13825	405	8	embarak	embarak	PROPN
aiti-13825	405	9	,	,	PUNCT
aiti-13825	405	10	“	"	PUNCT
aiti-13825	405	11	hybrid	hybrid	ADJ
aiti-13825	405	12	approach	approach	NOUN
aiti-13825	405	13	for	for	ADP
aiti-13825	405	14	heart	heart	NOUN
aiti-13825	405	15	disease	disease	NOUN
aiti-13825	405	16	prediction	prediction	NOUN
aiti-13825	405	17	using	use	VERB
aiti-13825	405	18	data	datum	NOUN
aiti-13825	405	19	mining	mining	NOUN
aiti-13825	405	20	techniques	technique	NOUN
aiti-13825	405	21	,	,	PUNCT
aiti-13825	405	22	”	"	PUNCT
aiti-13825	405	23	advances	advance	NOUN
aiti-13825	405	24	in	in	ADP
aiti-13825	405	25	internet	internet	NOUN
aiti-13825	405	26	,	,	PUNCT
aiti-13825	405	27	data	datum	NOUN
aiti-13825	405	28	and	and	CCONJ
aiti-13825	405	29	web	web	NOUN
aiti-13825	405	30	technologies	technology	NOUN
aiti-13825	405	31	:	:	PUNCT
aiti-13825	405	32	the	the	DET
aiti-13825	405	33	7th	7th	ADJ
aiti-13825	405	34	international	international	ADJ
aiti-13825	405	35	conference	conference	NOUN
aiti-13825	405	36	on	on	ADP
aiti-13825	405	37	emerging	emerge	VERB
aiti-13825	405	38	internet	internet	NOUN
aiti-13825	405	39	,	,	PUNCT
aiti-13825	405	40	data	datum	NOUN
aiti-13825	405	41	and	and	CCONJ
aiti-13825	405	42	web	web	NOUN
aiti-13825	405	43	technologies	technology	NOUN
aiti-13825	405	44	,	,	PUNCT
aiti-13825	405	45	pp	pp	ADP
aiti-13825	405	46	.	.	PUNCT
aiti-13825	406	1	447	447	NUM
aiti-13825	406	2	-	-	SYM
aiti-13825	406	3	454	454	NUM
aiti-13825	406	4	,	,	PUNCT
aiti-13825	406	5	2019	2019	NUM
aiti-13825	406	6	.	.	PUNCT
aiti-13825	407	1	[	[	X
aiti-13825	407	2	10	10	NUM
aiti-13825	407	3	]	]	PUNCT
aiti-13825	407	4	a.	a.	NOUN
aiti-13825	407	5	k.	k.	PROPN
aiti-13825	407	6	ramotra	ramotra	PROPN
aiti-13825	407	7	and	and	CCONJ
aiti-13825	407	8	v.	v.	ADP
aiti-13825	407	9	mansotra	mansotra	NOUN
aiti-13825	407	10	,	,	PUNCT
aiti-13825	407	11	“	"	PUNCT
aiti-13825	407	12	a	a	DET
aiti-13825	407	13	hybrid	hybrid	ADJ
aiti-13825	407	14	cluster	cluster	NOUN
aiti-13825	407	15	and	and	CCONJ
aiti-13825	407	16	pca	pca	NOUN
aiti-13825	407	17	-	-	PUNCT
aiti-13825	407	18	based	base	VERB
aiti-13825	407	19	framework	framework	NOUN
aiti-13825	407	20	for	for	ADP
aiti-13825	407	21	heart	heart	NOUN
aiti-13825	407	22	disease	disease	NOUN
aiti-13825	407	23	prediction	prediction	NOUN
aiti-13825	407	24	using	use	VERB
aiti-13825	407	25	logistic	logistic	ADJ
aiti-13825	407	26	regression	regression	NOUN
aiti-13825	407	27	,	,	PUNCT
aiti-13825	407	28	”	"	PUNCT
aiti-13825	407	29	rising	rise	VERB
aiti-13825	407	30	threats	threat	NOUN
aiti-13825	407	31	in	in	ADP
aiti-13825	407	32	expert	expert	NOUN
aiti-13825	407	33	applications	application	NOUN
aiti-13825	407	34	and	and	CCONJ
aiti-13825	407	35	solutions	solution	NOUN
aiti-13825	407	36	:	:	PUNCT
aiti-13825	407	37	proceedings	proceeding	NOUN
aiti-13825	407	38	of	of	ADP
aiti-13825	407	39	ficr	ficr	NOUN
aiti-13825	407	40	-	-	PUNCT
aiti-13825	407	41	teas	tea	NOUN
aiti-13825	407	42	2020	2020	NUM
aiti-13825	407	43	,	,	PUNCT
aiti-13825	407	44	pp	pp	ADV
aiti-13825	407	45	.	.	PUNCT
aiti-13825	407	46	111117	111117	NUM
aiti-13825	407	47	,	,	PUNCT
aiti-13825	407	48	2021	2021	NUM
aiti-13825	407	49	.	.	PUNCT
aiti-13825	408	1	[	[	X
aiti-13825	408	2	11	11	NUM
aiti-13825	408	3	]	]	PUNCT
aiti-13825	408	4	s.	s.	PROPN
aiti-13825	408	5	singh	singh	PROPN
aiti-13825	408	6	and	and	CCONJ
aiti-13825	408	7	v.	v.	ADP
aiti-13825	408	8	shrivastava	shrivastava	PROPN
aiti-13825	408	9	,	,	PUNCT
aiti-13825	408	10	“	"	PUNCT
aiti-13825	408	11	the	the	DET
aiti-13825	408	12	analysis	analysis	NOUN
aiti-13825	408	13	of	of	ADP
aiti-13825	408	14	machine	machine	NOUN
aiti-13825	408	15	learning	learn	VERB
aiti-13825	408	16	techniques	technique	NOUN
aiti-13825	408	17	for	for	ADP
aiti-13825	408	18	heart	heart	NOUN
aiti-13825	408	19	disease	disease	NOUN
aiti-13825	408	20	prediction	prediction	NOUN
aiti-13825	408	21	,	,	PUNCT
aiti-13825	408	22	”	"	PUNCT
aiti-13825	408	23	proceedings	proceeding	NOUN
aiti-13825	408	24	of	of	ADP
aiti-13825	408	25	international	international	ADJ
aiti-13825	408	26	conference	conference	NOUN
aiti-13825	408	27	on	on	ADP
aiti-13825	408	28	communication	communication	NOUN
aiti-13825	408	29	and	and	CCONJ
aiti-13825	408	30	computational	computational	ADJ
aiti-13825	408	31	technologies	technology	NOUN
aiti-13825	408	32	:	:	PUNCT
aiti-13825	408	33	iccct-2019	iccct-2019	ADJ
aiti-13825	408	34	,	,	PUNCT
aiti-13825	408	35	pp	pp	ADJ
aiti-13825	408	36	.	.	PUNCT
aiti-13825	408	37	137143	137143	NUM
aiti-13825	408	38	,	,	PUNCT
aiti-13825	408	39	2020	2020	NUM
aiti-13825	408	40	.	.	PUNCT
aiti-13825	409	1	[	[	X
aiti-13825	409	2	12	12	NUM
aiti-13825	409	3	]	]	PUNCT
aiti-13825	409	4	m.	m.	NOUN
aiti-13825	409	5	m.	m.	PROPN
aiti-13825	409	6	ali	ali	PROPN
aiti-13825	409	7	,	,	PUNCT
aiti-13825	409	8	b.	b.	PROPN
aiti-13825	409	9	k.	k.	PROPN
aiti-13825	409	10	paul	paul	PROPN
aiti-13825	409	11	,	,	PUNCT
aiti-13825	409	12	k.	k.	PROPN
aiti-13825	409	13	ahmed	ahmed	PROPN
aiti-13825	409	14	,	,	PUNCT
aiti-13825	409	15	f.	f.	PROPN
aiti-13825	409	16	m.	m.	PROPN
aiti-13825	409	17	bui	bui	PROPN
aiti-13825	409	18	,	,	PUNCT
aiti-13825	409	19	j.	j.	PROPN
aiti-13825	409	20	m.	m.	PROPN
aiti-13825	409	21	quinn	quinn	PROPN
aiti-13825	409	22	,	,	PUNCT
aiti-13825	409	23	and	and	CCONJ
aiti-13825	409	24	m.	m.	NOUN
aiti-13825	409	25	a.	a.	PROPN
aiti-13825	409	26	moni	moni	PROPN
aiti-13825	409	27	,	,	PUNCT
aiti-13825	409	28	“	"	PUNCT
aiti-13825	409	29	heart	heart	NOUN
aiti-13825	409	30	disease	disease	NOUN
aiti-13825	409	31	prediction	prediction	NOUN
aiti-13825	409	32	using	use	VERB
aiti-13825	409	33	supervised	supervised	ADJ
aiti-13825	409	34	machine	machine	NOUN
aiti-13825	409	35	learning	learning	NOUN
aiti-13825	409	36	algorithms	algorithm	NOUN
aiti-13825	409	37	:	:	PUNCT
aiti-13825	409	38	performance	performance	NOUN
aiti-13825	409	39	analysis	analysis	NOUN
aiti-13825	409	40	and	and	CCONJ
aiti-13825	409	41	comparison	comparison	NOUN
aiti-13825	409	42	,	,	PUNCT
aiti-13825	409	43	”	"	PUNCT
aiti-13825	409	44	computers	computer	NOUN
aiti-13825	409	45	in	in	ADP
aiti-13825	409	46	biology	biology	NOUN
aiti-13825	409	47	and	and	CCONJ
aiti-13825	409	48	medicine	medicine	NOUN
aiti-13825	409	49	,	,	PUNCT
aiti-13825	409	50	vol	vol	NOUN
aiti-13825	409	51	.	.	PROPN
aiti-13825	409	52	136	136	NUM
aiti-13825	409	53	,	,	PUNCT
aiti-13825	409	54	article	article	NOUN
aiti-13825	409	55	no	no	NOUN
aiti-13825	409	56	.	.	PROPN
aiti-13825	409	57	104672	104672	NUM
aiti-13825	409	58	,	,	PUNCT
aiti-13825	409	59	2021	2021	NUM
aiti-13825	409	60	.	.	PUNCT
aiti-13825	410	1	advances	advance	NOUN
aiti-13825	410	2	in	in	ADP
aiti-13825	410	3	technology	technology	NOUN
aiti-13825	410	4	innovation	innovation	NOUN
aiti-13825	410	5	,	,	PUNCT
aiti-13825	410	6	vol	vol	NOUN
aiti-13825	410	7	.	.	PROPN
aiti-13825	411	1	10	10	NUM
aiti-13825	411	2	,	,	PUNCT
aiti-13825	411	3	no	no	INTJ
aiti-13825	411	4	.	.	NOUN
aiti-13825	411	5	1	1	NUM
aiti-13825	411	6	,	,	PUNCT
aiti-13825	411	7	2025	2025	NUM
aiti-13825	411	8	,	,	PUNCT
aiti-13825	411	9	pp	pp	ADJ
aiti-13825	411	10	.	.	PUNCT
aiti-13825	412	1	58	58	NUM
aiti-13825	412	2	-	-	SYM
aiti-13825	412	3	71	71	NUM
aiti-13825	412	4	71	71	NUM
aiti-13825	413	1	[	[	SYM
aiti-13825	413	2	13	13	NUM
aiti-13825	413	3	]	]	X
aiti-13825	413	4	d.	d.	PROPN
aiti-13825	413	5	e.	e.	PROPN
aiti-13825	413	6	salhi	salhi	PROPN
aiti-13825	413	7	,	,	PUNCT
aiti-13825	413	8	a.	a.	NOUN
aiti-13825	413	9	tari	tari	PROPN
aiti-13825	413	10	,	,	PUNCT
aiti-13825	413	11	and	and	CCONJ
aiti-13825	413	12	m.	m.	NOUN
aiti-13825	413	13	t.	t.	NOUN
aiti-13825	413	14	kechadi	kechadi	NOUN
aiti-13825	413	15	,	,	PUNCT
aiti-13825	413	16	“	"	PUNCT
aiti-13825	413	17	using	use	VERB
aiti-13825	413	18	machine	machine	NOUN
aiti-13825	413	19	learning	learning	NOUN
aiti-13825	413	20	for	for	ADP
aiti-13825	413	21	heart	heart	NOUN
aiti-13825	413	22	disease	disease	NOUN
aiti-13825	413	23	prediction	prediction	NOUN
aiti-13825	413	24	,	,	PUNCT
aiti-13825	413	25	”	"	PUNCT
aiti-13825	413	26	advances	advance	NOUN
aiti-13825	413	27	in	in	ADP
aiti-13825	413	28	computing	computing	NOUN
aiti-13825	413	29	systems	system	NOUN
aiti-13825	413	30	and	and	CCONJ
aiti-13825	413	31	applications	application	NOUN
aiti-13825	413	32	:	:	PUNCT
aiti-13825	413	33	proceedings	proceeding	NOUN
aiti-13825	413	34	of	of	ADP
aiti-13825	413	35	the	the	DET
aiti-13825	413	36	4th	4th	ADJ
aiti-13825	413	37	conference	conference	NOUN
aiti-13825	413	38	on	on	ADP
aiti-13825	413	39	computing	computing	NOUN
aiti-13825	413	40	systems	system	NOUN
aiti-13825	413	41	and	and	CCONJ
aiti-13825	413	42	applications	application	NOUN
aiti-13825	413	43	,	,	PUNCT
aiti-13825	413	44	pp	pp	ADJ
aiti-13825	413	45	.	.	PUNCT
aiti-13825	414	1	70	70	NUM
aiti-13825	414	2	-	-	SYM
aiti-13825	414	3	81	81	NUM
aiti-13825	414	4	,	,	PUNCT
aiti-13825	414	5	2021	2021	NUM
aiti-13825	414	6	.	.	PUNCT
aiti-13825	415	1	[	[	X
aiti-13825	415	2	14	14	NUM
aiti-13825	415	3	]	]	PUNCT
aiti-13825	415	4	k.	k.	NOUN
aiti-13825	415	5	burse	burse	PROPN
aiti-13825	415	6	,	,	PUNCT
aiti-13825	415	7	v.	v.	ADP
aiti-13825	415	8	p.	p.	PROPN
aiti-13825	415	9	s.	s.	PROPN
aiti-13825	415	10	kirar	kirar	PROPN
aiti-13825	415	11	,	,	PUNCT
aiti-13825	415	12	a.	a.	NOUN
aiti-13825	415	13	burse	burse	NOUN
aiti-13825	415	14	,	,	PUNCT
aiti-13825	415	15	and	and	CCONJ
aiti-13825	415	16	r.	r.	PROPN
aiti-13825	415	17	burse	burse	PROPN
aiti-13825	415	18	,	,	PUNCT
aiti-13825	415	19	“	"	PUNCT
aiti-13825	415	20	various	various	ADJ
aiti-13825	415	21	preprocessing	preprocessing	NOUN
aiti-13825	415	22	methods	method	NOUN
aiti-13825	415	23	for	for	ADP
aiti-13825	415	24	neural	neural	ADJ
aiti-13825	415	25	network	network	NOUN
aiti-13825	415	26	based	base	VERB
aiti-13825	415	27	heart	heart	NOUN
aiti-13825	415	28	disease	disease	NOUN
aiti-13825	415	29	prediction	prediction	NOUN
aiti-13825	415	30	,	,	PUNCT
aiti-13825	415	31	”	"	PUNCT
aiti-13825	415	32	smart	smart	ADJ
aiti-13825	415	33	innovations	innovation	NOUN
aiti-13825	415	34	in	in	ADP
aiti-13825	415	35	communication	communication	NOUN
aiti-13825	415	36	and	and	CCONJ
aiti-13825	415	37	computational	computational	ADJ
aiti-13825	415	38	sciences	science	NOUN
aiti-13825	415	39	:	:	PUNCT
aiti-13825	415	40	proceedings	proceeding	NOUN
aiti-13825	415	41	of	of	ADP
aiti-13825	415	42	icsiccs-2018	icsiccs-2018	NOUN
aiti-13825	415	43	,	,	PUNCT
aiti-13825	415	44	pp	pp	ADJ
aiti-13825	415	45	.	.	PUNCT
aiti-13825	416	1	55	55	NUM
aiti-13825	416	2	-	-	SYM
aiti-13825	416	3	65	65	NUM
aiti-13825	416	4	,	,	PUNCT
aiti-13825	416	5	2019	2019	NUM
aiti-13825	416	6	.	.	PUNCT
aiti-13825	417	1	[	[	X
aiti-13825	417	2	15	15	NUM
aiti-13825	417	3	]	]	X
aiti-13825	417	4	y.	y.	PROPN
aiti-13825	417	5	muhammad	muhammad	PROPN
aiti-13825	417	6	,	,	PUNCT
aiti-13825	417	7	m.	m.	NOUN
aiti-13825	417	8	tahir	tahir	PROPN
aiti-13825	417	9	,	,	PUNCT
aiti-13825	417	10	m.	m.	NOUN
aiti-13825	417	11	hayat	hayat	PROPN
aiti-13825	417	12	,	,	PUNCT
aiti-13825	417	13	and	and	CCONJ
aiti-13825	417	14	k.	k.	PROPN
aiti-13825	417	15	t.	t.	PROPN
aiti-13825	417	16	chong	chong	PROPN
aiti-13825	417	17	,	,	PUNCT
aiti-13825	417	18	“	"	PUNCT
aiti-13825	417	19	early	early	ADJ
aiti-13825	417	20	and	and	CCONJ
aiti-13825	417	21	accurate	accurate	ADJ
aiti-13825	417	22	detection	detection	NOUN
aiti-13825	417	23	and	and	CCONJ
aiti-13825	417	24	diagnosis	diagnosis	NOUN
aiti-13825	417	25	of	of	ADP
aiti-13825	417	26	heart	heart	NOUN
aiti-13825	417	27	disease	disease	NOUN
aiti-13825	417	28	using	use	VERB
aiti-13825	417	29	intelligent	intelligent	ADJ
aiti-13825	417	30	computational	computational	ADJ
aiti-13825	417	31	model	model	NOUN
aiti-13825	417	32	,	,	PUNCT
aiti-13825	417	33	”	"	PUNCT
aiti-13825	417	34	scientific	scientific	ADJ
aiti-13825	417	35	reports	report	NOUN
aiti-13825	417	36	,	,	PUNCT
aiti-13825	417	37	vol	vol	NOUN
aiti-13825	417	38	.	.	PROPN
aiti-13825	417	39	10	10	NUM
aiti-13825	417	40	,	,	PUNCT
aiti-13825	417	41	article	article	NOUN
aiti-13825	417	42	no	no	NOUN
aiti-13825	417	43	.	.	PROPN
aiti-13825	417	44	19747	19747	NUM
aiti-13825	417	45	,	,	PUNCT
aiti-13825	417	46	2020	2020	NUM
aiti-13825	417	47	.	.	PUNCT
aiti-13825	418	1	[	[	X
aiti-13825	418	2	16	16	NUM
aiti-13825	418	3	]	]	X
aiti-13825	418	4	a.	a.	NOUN
aiti-13825	418	5	singh	singh	PROPN
aiti-13825	418	6	and	and	CCONJ
aiti-13825	418	7	r.	r.	PROPN
aiti-13825	418	8	kumar	kumar	PROPN
aiti-13825	418	9	,	,	PUNCT
aiti-13825	418	10	“	"	PUNCT
aiti-13825	418	11	heart	heart	NOUN
aiti-13825	418	12	disease	disease	NOUN
aiti-13825	418	13	prediction	prediction	NOUN
aiti-13825	418	14	using	use	VERB
aiti-13825	418	15	machine	machine	NOUN
aiti-13825	418	16	learning	learning	NOUN
aiti-13825	418	17	algorithms	algorithm	NOUN
aiti-13825	418	18	,	,	PUNCT
aiti-13825	418	19	”	"	PUNCT
aiti-13825	418	20	international	international	ADJ
aiti-13825	418	21	conference	conference	NOUN
aiti-13825	418	22	on	on	ADP
aiti-13825	418	23	electrical	electrical	ADJ
aiti-13825	418	24	and	and	CCONJ
aiti-13825	418	25	electronics	electronic	NOUN
aiti-13825	418	26	engineering	engineering	NOUN
aiti-13825	418	27	,	,	PUNCT
aiti-13825	418	28	pp	pp	ADJ
aiti-13825	418	29	.	.	PUNCT
aiti-13825	419	1	452	452	NUM
aiti-13825	419	2	-	-	SYM
aiti-13825	419	3	457	457	NUM
aiti-13825	419	4	,	,	PUNCT
aiti-13825	419	5	2020	2020	NUM
aiti-13825	419	6	.	.	PUNCT
aiti-13825	420	1	[	[	X
aiti-13825	420	2	17	17	NUM
aiti-13825	420	3	]	]	X
aiti-13825	420	4	c.	c.	PROPN
aiti-13825	420	5	krittanawong	krittanawong	PROPN
aiti-13825	420	6	,	,	PUNCT
aiti-13825	420	7	h.	h.	PROPN
aiti-13825	420	8	u.	u.	PROPN
aiti-13825	420	9	h.	h.	PROPN
aiti-13825	420	10	virk	virk	PROPN
aiti-13825	420	11	,	,	PUNCT
aiti-13825	420	12	s.	s.	PROPN
aiti-13825	420	13	bangalore	bangalore	PROPN
aiti-13825	420	14	,	,	PUNCT
aiti-13825	420	15	z.	z.	PROPN
aiti-13825	420	16	wang	wang	PROPN
aiti-13825	420	17	,	,	PUNCT
aiti-13825	420	18	k.w	k.w	PROPN
aiti-13825	420	19	.	.	PROPN
aiti-13825	420	20	johnson	johnson	PROPN
aiti-13825	420	21	,	,	PUNCT
aiti-13825	420	22	r.	r.	PROPN
aiti-13825	420	23	pinotti	pinotti	PROPN
aiti-13825	420	24	,	,	PUNCT
aiti-13825	420	25	et	et	PROPN
aiti-13825	420	26	al	al	PROPN
aiti-13825	420	27	.	.	PROPN
aiti-13825	420	28	,	,	PUNCT
aiti-13825	420	29	“	"	PUNCT
aiti-13825	420	30	machine	machine	NOUN
aiti-13825	420	31	learning	learning	NOUN
aiti-13825	420	32	prediction	prediction	NOUN
aiti-13825	420	33	in	in	ADP
aiti-13825	420	34	cardiovascular	cardiovascular	ADJ
aiti-13825	420	35	diseases	disease	NOUN
aiti-13825	420	36	:	:	PUNCT
aiti-13825	420	37	a	a	DET
aiti-13825	420	38	meta	meta	ADJ
aiti-13825	420	39	-	-	PUNCT
aiti-13825	420	40	analysis	analysis	NOUN
aiti-13825	420	41	,	,	PUNCT
aiti-13825	420	42	”	"	PUNCT
aiti-13825	420	43	scientific	scientific	ADJ
aiti-13825	420	44	reports	report	NOUN
aiti-13825	420	45	,	,	PUNCT
aiti-13825	420	46	vol	vol	NOUN
aiti-13825	420	47	.	.	PROPN
aiti-13825	420	48	10	10	NUM
aiti-13825	420	49	,	,	PUNCT
aiti-13825	420	50	article	article	NOUN
aiti-13825	420	51	no	no	NOUN
aiti-13825	420	52	.	.	PROPN
aiti-13825	420	53	16057	16057	NUM
aiti-13825	420	54	,	,	PUNCT
aiti-13825	420	55	2020	2020	NUM
aiti-13825	420	56	.	.	PUNCT
aiti-13825	421	1	[	[	X
aiti-13825	421	2	18	18	NUM
aiti-13825	421	3	]	]	PUNCT
aiti-13825	421	4	s.	s.	PROPN
aiti-13825	421	5	s.	s.	PROPN
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aiti-13825	421	7	,	,	PUNCT
aiti-13825	421	8	s.	s.	PROPN
aiti-13825	421	9	m.	m.	PROPN
aiti-13825	421	10	jadhav	jadhav	PROPN
aiti-13825	421	11	,	,	PUNCT
aiti-13825	421	12	s.	s.	PROPN
aiti-13825	421	13	nagrale	nagrale	PROPN
aiti-13825	421	14	,	,	PUNCT
aiti-13825	421	15	and	and	CCONJ
aiti-13825	421	16	n.	n.	PROPN
aiti-13825	421	17	patil	patil	PROPN
aiti-13825	421	18	,	,	PUNCT
aiti-13825	421	19	“	"	PUNCT
aiti-13825	421	20	application	application	NOUN
aiti-13825	421	21	of	of	ADP
aiti-13825	421	22	machine	machine	NOUN
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aiti-13825	421	24	for	for	ADP
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aiti-13825	421	26	detection	detection	NOUN
aiti-13825	421	27	of	of	ADP
aiti-13825	421	28	heart	heart	NOUN
aiti-13825	421	29	disease	disease	NOUN
aiti-13825	421	30	,	,	PUNCT
aiti-13825	421	31	”	"	PUNCT
aiti-13825	421	32	2nd	2nd	ADJ
aiti-13825	421	33	international	international	ADJ
aiti-13825	421	34	conference	conference	NOUN
aiti-13825	421	35	on	on	ADP
aiti-13825	421	36	innovative	innovative	ADJ
aiti-13825	421	37	mechanisms	mechanism	NOUN
aiti-13825	421	38	for	for	ADP
aiti-13825	421	39	industry	industry	NOUN
aiti-13825	421	40	applications	application	NOUN
aiti-13825	421	41	,	,	PUNCT
aiti-13825	421	42	pp	pp	ADJ
aiti-13825	421	43	.	.	PUNCT
aiti-13825	422	1	165	165	NUM
aiti-13825	422	2	-	-	SYM
aiti-13825	422	3	172	172	NUM
aiti-13825	422	4	,	,	PUNCT
aiti-13825	422	5	2020	2020	NUM
aiti-13825	422	6	.	.	PUNCT
aiti-13825	423	1	[	[	X
aiti-13825	423	2	19	19	NUM
aiti-13825	423	3	]	]	PUNCT
aiti-13825	423	4	a.	a.	NOUN
aiti-13825	423	5	akella	akella	NOUN
aiti-13825	423	6	and	and	CCONJ
aiti-13825	423	7	s.	s.	PROPN
aiti-13825	423	8	akella	akella	PROPN
aiti-13825	423	9	,	,	PUNCT
aiti-13825	423	10	“	"	PUNCT
aiti-13825	423	11	machine	machine	NOUN
aiti-13825	423	12	learning	learn	VERB
aiti-13825	423	13	algorithms	algorithm	NOUN
aiti-13825	423	14	for	for	ADP
aiti-13825	423	15	predicting	predict	VERB
aiti-13825	423	16	coronary	coronary	ADJ
aiti-13825	423	17	artery	artery	NOUN
aiti-13825	423	18	disease	disease	NOUN
aiti-13825	423	19	:	:	PUNCT
aiti-13825	423	20	efforts	effort	NOUN
aiti-13825	423	21	toward	toward	ADP
aiti-13825	423	22	an	an	DET
aiti-13825	423	23	open	open	ADJ
aiti-13825	423	24	source	source	NOUN
aiti-13825	423	25	solution	solution	NOUN
aiti-13825	423	26	,	,	PUNCT
aiti-13825	423	27	”	"	PUNCT
aiti-13825	423	28	future	future	ADJ
aiti-13825	423	29	science	science	NOUN
aiti-13825	423	30	oa	oa	INTJ
aiti-13825	423	31	,	,	PUNCT
aiti-13825	423	32	vol	vol	NOUN
aiti-13825	423	33	.	.	PROPN
aiti-13825	423	34	7	7	NUM
aiti-13825	423	35	,	,	PUNCT
aiti-13825	423	36	no	no	INTJ
aiti-13825	423	37	.	.	NOUN
aiti-13825	423	38	6	6	NUM
aiti-13825	423	39	,	,	PUNCT
aiti-13825	423	40	article	article	NOUN
aiti-13825	423	41	no	no	NOUN
aiti-13825	423	42	.	.	PUNCT
aiti-13825	424	1	fso698	fso698	ADJ
aiti-13825	424	2	,	,	PUNCT
aiti-13825	424	3	2021	2021	NUM
aiti-13825	424	4	.	.	PUNCT
aiti-13825	425	1	[	[	X
aiti-13825	425	2	20	20	NUM
aiti-13825	425	3	]	]	PUNCT
aiti-13825	425	4	m.	m.	NOUN
aiti-13825	425	5	t.	t.	NOUN
aiti-13825	425	6	garcía	garcía	NOUN
aiti-13825	425	7	-	-	PUNCT
aiti-13825	425	8	ordás	ordá	NOUN
aiti-13825	425	9	,	,	PUNCT
aiti-13825	425	10	m.	m.	NOUN
aiti-13825	425	11	bayón	bayón	PROPN
aiti-13825	425	12	-	-	PUNCT
aiti-13825	425	13	gutiérrez	gutiérrez	PROPN
aiti-13825	425	14	,	,	PUNCT
aiti-13825	425	15	c.	c.	PROPN
aiti-13825	425	16	benavides	benavides	PROPN
aiti-13825	425	17	,	,	PUNCT
aiti-13825	425	18	j.	j.	PROPN
aiti-13825	425	19	aveleira	aveleira	PROPN
aiti-13825	425	20	-	-	PUNCT
aiti-13825	425	21	mata	mata	PROPN
aiti-13825	425	22	,	,	PUNCT
aiti-13825	425	23	and	and	CCONJ
aiti-13825	425	24	j.	j.	PROPN
aiti-13825	425	25	a.	a.	PROPN
aiti-13825	425	26	benítez	benítez	PROPN
aiti-13825	425	27	-	-	PUNCT
aiti-13825	425	28	andrades	andrade	NOUN
aiti-13825	425	29	,	,	PUNCT
aiti-13825	425	30	“	"	PUNCT
aiti-13825	425	31	heart	heart	NOUN
aiti-13825	425	32	disease	disease	NOUN
aiti-13825	425	33	risk	risk	NOUN
aiti-13825	425	34	prediction	prediction	NOUN
aiti-13825	425	35	using	use	VERB
aiti-13825	425	36	deep	deep	ADJ
aiti-13825	425	37	learning	learning	NOUN
aiti-13825	425	38	techniques	technique	NOUN
aiti-13825	425	39	with	with	ADP
aiti-13825	425	40	feature	feature	NOUN
aiti-13825	425	41	augmentation	augmentation	NOUN
aiti-13825	425	42	,	,	PUNCT
aiti-13825	425	43	”	"	PUNCT
aiti-13825	425	44	multimedia	multimedia	NOUN
aiti-13825	425	45	tools	tool	NOUN
aiti-13825	425	46	and	and	CCONJ
aiti-13825	425	47	applications	application	NOUN
aiti-13825	425	48	,	,	PUNCT
aiti-13825	425	49	vol	vol	NOUN
aiti-13825	425	50	.	.	PROPN
aiti-13825	425	51	82	82	NUM
aiti-13825	425	52	,	,	PUNCT
aiti-13825	425	53	no	no	INTJ
aiti-13825	425	54	.	.	NOUN
aiti-13825	425	55	20	20	NUM
aiti-13825	425	56	,	,	PUNCT
aiti-13825	425	57	pp	pp	ADJ
aiti-13825	425	58	.	.	PUNCT
aiti-13825	426	1	31759	31759	NUM
aiti-13825	426	2	-	-	SYM
aiti-13825	426	3	31773	31773	NUM
aiti-13825	426	4	,	,	PUNCT
aiti-13825	426	5	2023	2023	NUM
aiti-13825	426	6	.	.	PUNCT
aiti-13825	427	1	[	[	X
aiti-13825	427	2	21	21	NUM
aiti-13825	427	3	]	]	X
aiti-13825	427	4	f.	f.	PROPN
aiti-13825	427	5	yaghouby	yaghouby	PROPN
aiti-13825	427	6	,	,	PUNCT
aiti-13825	427	7	a.	a.	NOUN
aiti-13825	427	8	ayatollahi	ayatollahi	PROPN
aiti-13825	427	9	,	,	PUNCT
aiti-13825	427	10	and	and	CCONJ
aiti-13825	427	11	r.	r.	PROPN
aiti-13825	427	12	soleimani	soleimani	PROPN
aiti-13825	427	13	,	,	PUNCT
aiti-13825	427	14	“	"	PUNCT
aiti-13825	427	15	classification	classification	NOUN
aiti-13825	427	16	of	of	ADP
aiti-13825	427	17	cardiac	cardiac	ADJ
aiti-13825	427	18	abnormalities	abnormality	NOUN
aiti-13825	427	19	using	use	VERB
aiti-13825	427	20	reduced	reduced	ADJ
aiti-13825	427	21	features	feature	NOUN
aiti-13825	427	22	of	of	ADP
aiti-13825	427	23	heart	heart	NOUN
aiti-13825	427	24	rate	rate	NOUN
aiti-13825	427	25	variability	variability	NOUN
aiti-13825	427	26	signal	signal	NOUN
aiti-13825	427	27	,	,	PUNCT
aiti-13825	427	28	”	"	PUNCT
aiti-13825	427	29	world	world	NOUN
aiti-13825	427	30	applied	apply	VERB
aiti-13825	427	31	sciences	science	NOUN
aiti-13825	427	32	journal	journal	NOUN
aiti-13825	427	33	,	,	PUNCT
aiti-13825	427	34	vol	vol	NOUN
aiti-13825	427	35	.	.	PROPN
aiti-13825	427	36	6	6	NUM
aiti-13825	427	37	,	,	PUNCT
aiti-13825	427	38	no	no	INTJ
aiti-13825	427	39	.	.	NOUN
aiti-13825	427	40	11	11	NUM
aiti-13825	427	41	,	,	PUNCT
aiti-13825	427	42	pp	pp	ADJ
aiti-13825	427	43	.	.	PUNCT
aiti-13825	427	44	1547	1547	NUM
aiti-13825	427	45	-	-	SYM
aiti-13825	427	46	1554	1554	NUM
aiti-13825	427	47	,	,	PUNCT
aiti-13825	427	48	2009	2009	NUM
aiti-13825	427	49	.	.	PUNCT
aiti-13825	428	1	[	[	X
aiti-13825	428	2	22	22	NUM
aiti-13825	428	3	]	]	X
aiti-13825	428	4	b.	b.	PROPN
aiti-13825	428	5	m.	m.	PROPN
aiti-13825	428	6	asl	asl	PROPN
aiti-13825	428	7	,	,	PUNCT
aiti-13825	428	8	s.	s.	PROPN
aiti-13825	428	9	k.	k.	PROPN
aiti-13825	428	10	setarehdan	setarehdan	PROPN
aiti-13825	428	11	,	,	PUNCT
aiti-13825	428	12	and	and	CCONJ
aiti-13825	428	13	m.	m.	NOUN
aiti-13825	428	14	mohebbi	mohebbi	PROPN
aiti-13825	428	15	,	,	PUNCT
aiti-13825	428	16	“	"	PUNCT
aiti-13825	428	17	support	support	NOUN
aiti-13825	428	18	vector	vector	NOUN
aiti-13825	428	19	machine	machine	NOUN
aiti-13825	428	20	-	-	PUNCT
aiti-13825	428	21	based	base	VERB
aiti-13825	428	22	arrhythmia	arrhythmia	NOUN
aiti-13825	428	23	classification	classification	NOUN
aiti-13825	428	24	using	use	VERB
aiti-13825	428	25	reduced	reduce	VERB
aiti-13825	428	26	features	feature	NOUN
aiti-13825	428	27	of	of	ADP
aiti-13825	428	28	heart	heart	NOUN
aiti-13825	428	29	rate	rate	NOUN
aiti-13825	428	30	variability	variability	NOUN
aiti-13825	428	31	signal	signal	NOUN
aiti-13825	428	32	,	,	PUNCT
aiti-13825	428	33	”	"	PUNCT
aiti-13825	428	34	artificial	artificial	ADJ
aiti-13825	428	35	intelligence	intelligence	NOUN
aiti-13825	428	36	in	in	ADP
aiti-13825	428	37	medicine	medicine	NOUN
aiti-13825	428	38	,	,	PUNCT
aiti-13825	428	39	vol	vol	NOUN
aiti-13825	428	40	.	.	PROPN
aiti-13825	428	41	44	44	NUM
aiti-13825	428	42	,	,	PUNCT
aiti-13825	428	43	no	no	INTJ
aiti-13825	428	44	.	.	NOUN
aiti-13825	428	45	1	1	NUM
aiti-13825	428	46	,	,	PUNCT
aiti-13825	428	47	pp	pp	ADJ
aiti-13825	428	48	.	.	PUNCT
aiti-13825	429	1	51	51	NUM
aiti-13825	429	2	-	-	SYM
aiti-13825	429	3	64	64	NUM
aiti-13825	429	4	,	,	PUNCT
aiti-13825	429	5	2008	2008	NUM
aiti-13825	429	6	.	.	PUNCT
aiti-13825	430	1	[	[	X
aiti-13825	430	2	23	23	NUM
aiti-13825	430	3	]	]	X
aiti-13825	430	4	u.	u.	PROPN
aiti-13825	430	5	nagavelli	nagavelli	PROPN
aiti-13825	430	6	,	,	PUNCT
aiti-13825	430	7	d.	d.	PROPN
aiti-13825	430	8	samanta	samanta	PROPN
aiti-13825	430	9	,	,	PUNCT
aiti-13825	430	10	and	and	CCONJ
aiti-13825	430	11	p.	p.	NOUN
aiti-13825	430	12	chakraborty	chakraborty	PROPN
aiti-13825	430	13	,	,	PUNCT
aiti-13825	430	14	“	"	PUNCT
aiti-13825	430	15	machine	machine	NOUN
aiti-13825	430	16	learning	learn	VERB
aiti-13825	430	17	technology	technology	NOUN
aiti-13825	430	18	-	-	PUNCT
aiti-13825	430	19	based	base	VERB
aiti-13825	430	20	heart	heart	NOUN
aiti-13825	430	21	disease	disease	NOUN
aiti-13825	430	22	detection	detection	NOUN
aiti-13825	430	23	models	model	NOUN
aiti-13825	430	24	,	,	PUNCT
aiti-13825	430	25	”	"	PUNCT
aiti-13825	430	26	journal	journal	NOUN
aiti-13825	430	27	of	of	ADP
aiti-13825	430	28	healthcare	healthcare	PROPN
aiti-13825	430	29	engineering	engineering	PROPN
aiti-13825	430	30	,	,	PUNCT
aiti-13825	430	31	vol	vol	NOUN
aiti-13825	430	32	.	.	NOUN
aiti-13825	430	33	2022	2022	NUM
aiti-13825	430	34	,	,	PUNCT
aiti-13825	430	35	article	article	NOUN
aiti-13825	430	36	no	no	NOUN
aiti-13825	430	37	.	.	PROPN
aiti-13825	430	38	7351061	7351061	NUM
aiti-13825	430	39	,	,	PUNCT
aiti-13825	430	40	2022	2022	NUM
aiti-13825	430	41	.	.	PUNCT
aiti-13825	431	1	[	[	X
aiti-13825	431	2	24	24	NUM
aiti-13825	431	3	]	]	X
aiti-13825	431	4	n.	n.	PROPN
aiti-13825	431	5	biswas	biswas	PROPN
aiti-13825	431	6	,	,	PUNCT
aiti-13825	431	7	m.	m.	PROPN
aiti-13825	431	8	m.	m.	PROPN
aiti-13825	431	9	ali	ali	PROPN
aiti-13825	431	10	,	,	PUNCT
aiti-13825	431	11	m.a	m.a	PROPN
aiti-13825	431	12	.	.	PROPN
aiti-13825	431	13	rahaman	rahaman	PROPN
aiti-13825	431	14	,	,	PUNCT
aiti-13825	431	15	m.	m.	PROPN
aiti-13825	431	16	islam	islam	PROPN
aiti-13825	431	17	,	,	PUNCT
aiti-13825	431	18	m.	m.	PROPN
aiti-13825	431	19	r.	r.	PROPN
aiti-13825	431	20	mia	mia	PROPN
aiti-13825	431	21	,	,	PUNCT
aiti-13825	431	22	s.	s.	PROPN
aiti-13825	431	23	azam	azam	PROPN
aiti-13825	431	24	,	,	PUNCT
aiti-13825	431	25	et	et	PROPN
aiti-13825	431	26	al	al	PROPN
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aiti-13825	431	28	,	,	PUNCT
aiti-13825	431	29	“	"	PUNCT
aiti-13825	431	30	machine	machine	NOUN
aiti-13825	431	31	learning	learning	NOUN
aiti-13825	431	32	-	-	PUNCT
aiti-13825	431	33	based	base	VERB
aiti-13825	431	34	model	model	NOUN
aiti-13825	431	35	to	to	PART
aiti-13825	431	36	predict	predict	VERB
aiti-13825	431	37	heart	heart	NOUN
aiti-13825	431	38	disease	disease	NOUN
aiti-13825	431	39	in	in	ADP
aiti-13825	431	40	early	early	ADJ
aiti-13825	431	41	stage	stage	NOUN
aiti-13825	431	42	employing	employ	VERB
aiti-13825	431	43	different	different	ADJ
aiti-13825	431	44	feature	feature	NOUN
aiti-13825	431	45	selection	selection	NOUN
aiti-13825	431	46	techniques	technique	NOUN
aiti-13825	431	47	,	,	PUNCT
aiti-13825	431	48	”	"	PUNCT
aiti-13825	431	49	biomed	biome	VERB
aiti-13825	431	50	research	research	NOUN
aiti-13825	431	51	international	international	ADJ
aiti-13825	431	52	,	,	PUNCT
aiti-13825	431	53	vol	vol	NOUN
aiti-13825	431	54	.	.	PROPN
aiti-13825	431	55	2023	2023	NUM
aiti-13825	431	56	,	,	PUNCT
aiti-13825	431	57	article	article	NOUN
aiti-13825	431	58	no	no	NOUN
aiti-13825	431	59	.	.	PUNCT
aiti-13825	431	60	6864343	6864343	NUM
aiti-13825	431	61	,	,	PUNCT
aiti-13825	431	62	2023	2023	NUM
aiti-13825	431	63	.	.	PUNCT
aiti-13825	432	1	[	[	X
aiti-13825	432	2	25	25	NUM
aiti-13825	432	3	]	]	PUNCT
aiti-13825	432	4	a.	a.	NOUN
aiti-13825	432	5	a.	a.	PROPN
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aiti-13825	432	7	and	and	CCONJ
aiti-13825	432	8	h.	h.	PROPN
aiti-13825	432	9	polat	polat	PROPN
aiti-13825	432	10	,	,	PUNCT
aiti-13825	432	11	“	"	PUNCT
aiti-13825	432	12	prediction	prediction	NOUN
aiti-13825	432	13	of	of	ADP
aiti-13825	432	14	heart	heart	NOUN
aiti-13825	432	15	disease	disease	NOUN
aiti-13825	432	16	based	base	VERB
aiti-13825	432	17	on	on	ADP
aiti-13825	432	18	machine	machine	NOUN
aiti-13825	432	19	learning	learning	NOUN
aiti-13825	432	20	using	use	VERB
aiti-13825	432	21	jellyfish	jellyfish	NOUN
aiti-13825	432	22	optimization	optimization	NOUN
aiti-13825	432	23	algorithm	algorithm	NOUN
aiti-13825	432	24	,	,	PUNCT
aiti-13825	432	25	”	"	PUNCT
aiti-13825	432	26	diagnostics	diagnostic	NOUN
aiti-13825	432	27	,	,	PUNCT
aiti-13825	432	28	vol	vol	NOUN
aiti-13825	432	29	.	.	PROPN
aiti-13825	432	30	13	13	NUM
aiti-13825	432	31	,	,	PUNCT
aiti-13825	432	32	no	no	INTJ
aiti-13825	432	33	.	.	NOUN
aiti-13825	432	34	14	14	NUM
aiti-13825	432	35	,	,	PUNCT
aiti-13825	432	36	article	article	NOUN
aiti-13825	432	37	no	no	NOUN
aiti-13825	432	38	.	.	PROPN
aiti-13825	432	39	2392	2392	NUM
aiti-13825	432	40	,	,	PUNCT
aiti-13825	432	41	2023	2023	NUM
aiti-13825	432	42	.	.	PUNCT
aiti-13825	433	1	[	[	X
aiti-13825	433	2	26	26	NUM
aiti-13825	433	3	]	]	PUNCT
aiti-13825	433	4	k.	k.	PROPN
aiti-13825	433	5	saikumar	saikumar	PROPN
aiti-13825	433	6	,	,	PUNCT
aiti-13825	433	7	v.	v.	PROPN
aiti-13825	433	8	rajesh	rajesh	PROPN
aiti-13825	433	9	,	,	PUNCT
aiti-13825	433	10	g.	g.	PROPN
aiti-13825	433	11	srivastava	srivastava	PROPN
aiti-13825	433	12	,	,	PUNCT
aiti-13825	433	13	and	and	CCONJ
aiti-13825	433	14	j.	j.	PROPN
aiti-13825	433	15	c.	c.	PROPN
aiti-13825	433	16	w.	w.	PROPN
aiti-13825	433	17	lin	lin	PROPN
aiti-13825	433	18	,	,	PUNCT
aiti-13825	433	19	“	"	PUNCT
aiti-13825	433	20	heart	heart	NOUN
aiti-13825	433	21	disease	disease	NOUN
aiti-13825	433	22	detection	detection	NOUN
aiti-13825	433	23	based	base	VERB
aiti-13825	433	24	on	on	ADP
aiti-13825	433	25	internet	internet	NOUN
aiti-13825	433	26	of	of	ADP
aiti-13825	433	27	things	thing	NOUN
aiti-13825	433	28	data	datum	NOUN
aiti-13825	433	29	using	use	VERB
aiti-13825	433	30	linear	linear	ADJ
aiti-13825	433	31	quadratic	quadratic	ADJ
aiti-13825	433	32	discriminant	discriminant	ADJ
aiti-13825	433	33	analysis	analysis	NOUN
aiti-13825	433	34	and	and	CCONJ
aiti-13825	433	35	a	a	DET
aiti-13825	433	36	deep	deep	ADJ
aiti-13825	433	37	graph	graph	NOUN
aiti-13825	433	38	convolutional	convolutional	ADJ
aiti-13825	433	39	neural	neural	ADJ
aiti-13825	433	40	network	network	NOUN
aiti-13825	433	41	,	,	PUNCT
aiti-13825	433	42	”	"	PUNCT
aiti-13825	433	43	frontiers	frontier	NOUN
aiti-13825	433	44	in	in	ADP
aiti-13825	433	45	computational	computational	ADJ
aiti-13825	433	46	neuroscience	neuroscience	NOUN
aiti-13825	433	47	,	,	PUNCT
aiti-13825	433	48	vol	vol	NOUN
aiti-13825	433	49	.	.	PROPN
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aiti-13825	433	51	,	,	PUNCT
aiti-13825	433	52	article	article	NOUN
aiti-13825	433	53	no	no	NOUN
aiti-13825	433	54	.	.	PROPN
aiti-13825	433	55	964686	964686	NUM
aiti-13825	433	56	,	,	PUNCT
aiti-13825	433	57	2022	2022	NUM
aiti-13825	433	58	.	.	PUNCT
aiti-13825	434	1	[	[	X
aiti-13825	434	2	27	27	NUM
aiti-13825	434	3	]	]	PUNCT
aiti-13825	434	4	m.	m.	NOUN
aiti-13825	434	5	a.	a.	PROPN
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aiti-13825	434	12	and	and	CCONJ
aiti-13825	434	13	p.	p.	PROPN
aiti-13825	434	14	chandra	chandra	PROPN
aiti-13825	434	15	,	,	PUNCT
aiti-13825	434	16	“	"	PUNCT
aiti-13825	434	17	graph	graph	NOUN
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aiti-13825	434	19	approach	approach	NOUN
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aiti-13825	434	21	heart	heart	NOUN
aiti-13825	434	22	disease	disease	NOUN
aiti-13825	434	23	prediction	prediction	NOUN
aiti-13825	434	24	,	,	PUNCT
aiti-13825	434	25	”	"	PUNCT
aiti-13825	434	26	proceedings	proceeding	NOUN
aiti-13825	434	27	of	of	ADP
aiti-13825	434	28	the	the	DET
aiti-13825	434	29	third	third	ADJ
aiti-13825	434	30	international	international	ADJ
aiti-13825	434	31	conference	conference	NOUN
aiti-13825	434	32	on	on	ADP
aiti-13825	434	33	trends	trend	NOUN
aiti-13825	434	34	in	in	ADP
aiti-13825	434	35	information	information	NOUN
aiti-13825	434	36	,	,	PUNCT
aiti-13825	434	37	telecommunication	telecommunication	NOUN
aiti-13825	434	38	and	and	CCONJ
aiti-13825	434	39	computing	computing	NOUN
aiti-13825	434	40	,	,	PUNCT
aiti-13825	434	41	pp	pp	ADJ
aiti-13825	434	42	.	.	PUNCT
aiti-13825	435	1	465	465	NUM
aiti-13825	435	2	-	-	SYM
aiti-13825	435	3	474	474	NUM
aiti-13825	435	4	,	,	PUNCT
aiti-13825	435	5	2013	2013	NUM
aiti-13825	435	6	.	.	PUNCT
aiti-13825	436	1	[	[	X
aiti-13825	436	2	28	28	NUM
aiti-13825	436	3	]	]	PUNCT
aiti-13825	436	4	k.	k.	PROPN
aiti-13825	436	5	m.	m.	PROPN
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aiti-13825	436	7	and	and	CCONJ
aiti-13825	436	8	a.	a.	NOUN
aiti-13825	436	9	o.	o.	PROPN
aiti-13825	436	10	almagrabi	almagrabi	NOUN
aiti-13825	436	11	,	,	PUNCT
aiti-13825	436	12	“	"	PUNCT
aiti-13825	436	13	feature	feature	NOUN
aiti-13825	436	14	-	-	PUNCT
aiti-13825	436	15	limited	limit	VERB
aiti-13825	436	16	prediction	prediction	NOUN
aiti-13825	436	17	on	on	ADP
aiti-13825	436	18	the	the	DET
aiti-13825	436	19	uci	uci	PROPN
aiti-13825	436	20	heart	heart	NOUN
aiti-13825	436	21	disease	disease	NOUN
aiti-13825	436	22	dataset	dataset	VERB
aiti-13825	436	23	,	,	PUNCT
aiti-13825	436	24	”	"	PUNCT
aiti-13825	436	25	computers	computer	NOUN
aiti-13825	436	26	,	,	PUNCT
aiti-13825	436	27	materials	material	NOUN
aiti-13825	436	28	&	&	CCONJ
aiti-13825	436	29	continua	continua	PROPN
aiti-13825	436	30	,	,	PUNCT
aiti-13825	436	31	vol	vol	NOUN
aiti-13825	436	32	.	.	PROPN
aiti-13825	437	1	74	74	NUM
aiti-13825	437	2	,	,	PUNCT
aiti-13825	437	3	no	no	INTJ
aiti-13825	437	4	.	.	NOUN
aiti-13825	437	5	3	3	NUM
aiti-13825	437	6	,	,	PUNCT
aiti-13825	437	7	pp	pp	ADJ
aiti-13825	437	8	.	.	PUNCT
aiti-13825	438	1	5871	5871	NUM
aiti-13825	438	2	-	-	SYM
aiti-13825	438	3	5883	5883	NUM
aiti-13825	438	4	,	,	PUNCT
aiti-13825	438	5	2023	2023	NUM
aiti-13825	438	6	.	.	PUNCT
aiti-13825	439	1	[	[	X
aiti-13825	439	2	29	29	NUM
aiti-13825	439	3	]	]	X
aiti-13825	439	4	r.	r.	PROPN
aiti-13825	439	5	r.	r.	PROPN
aiti-13825	439	6	sarra	sarra	PROPN
aiti-13825	439	7	,	,	PUNCT
aiti-13825	439	8	a.	a.	PROPN
aiti-13825	439	9	m.	m.	PROPN
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aiti-13825	439	11	,	,	PUNCT
aiti-13825	439	12	m.	m.	NOUN
aiti-13825	439	13	a.	a.	PROPN
aiti-13825	439	14	mohammed	mohammed	PROPN
aiti-13825	439	15	,	,	PUNCT
aiti-13825	439	16	and	and	CCONJ
aiti-13825	439	17	k.	k.	PROPN
aiti-13825	439	18	h.	h.	PROPN
aiti-13825	439	19	abdulkareem	abdulkareem	PROPN
aiti-13825	439	20	,	,	PUNCT
aiti-13825	439	21	“	"	PUNCT
aiti-13825	439	22	enhanced	enhanced	ADJ
aiti-13825	439	23	heart	heart	NOUN
aiti-13825	439	24	disease	disease	NOUN
aiti-13825	439	25	prediction	prediction	NOUN
aiti-13825	439	26	based	base	VERB
aiti-13825	439	27	on	on	ADP
aiti-13825	439	28	machine	machine	NOUN
aiti-13825	439	29	learning	learning	NOUN
aiti-13825	439	30	and	and	CCONJ
aiti-13825	439	31	χ2	χ2	PROPN
aiti-13825	439	32	statistical	statistical	ADJ
aiti-13825	439	33	optimal	optimal	ADJ
aiti-13825	439	34	feature	feature	NOUN
aiti-13825	439	35	selection	selection	NOUN
aiti-13825	439	36	model	model	NOUN
aiti-13825	439	37	,	,	PUNCT
aiti-13825	439	38	”	"	PUNCT
aiti-13825	439	39	designs	design	NOUN
aiti-13825	439	40	,	,	PUNCT
aiti-13825	439	41	vol	vol	NOUN
aiti-13825	439	42	.	.	PROPN
aiti-13825	440	1	6	6	NUM
aiti-13825	440	2	,	,	PUNCT
aiti-13825	440	3	no	no	INTJ
aiti-13825	440	4	.	.	NOUN
aiti-13825	440	5	5	5	NUM
aiti-13825	440	6	,	,	PUNCT
aiti-13825	440	7	article	article	NOUN
aiti-13825	440	8	no	no	NOUN
aiti-13825	440	9	.	.	PROPN
aiti-13825	440	10	87	87	NUM
aiti-13825	440	11	,	,	PUNCT
aiti-13825	440	12	2022	2022	NUM
aiti-13825	440	13	.	.	PUNCT
aiti-13825	441	1	[	[	X
aiti-13825	441	2	30	30	NUM
aiti-13825	441	3	]	]	X
aiti-13825	441	4	f.	f.	PROPN
aiti-13825	441	5	ali	ali	PROPN
aiti-13825	441	6	,	,	PUNCT
aiti-13825	441	7	s.	s.	PROPN
aiti-13825	441	8	el	el	PROPN
aiti-13825	441	9	-	-	PROPN
aiti-13825	441	10	sappagh	sappagh	PROPN
aiti-13825	441	11	,	,	PUNCT
aiti-13825	441	12	s.	s.	PROPN
aiti-13825	441	13	r.	r.	PROPN
aiti-13825	441	14	islam	islam	PROPN
aiti-13825	441	15	,	,	PUNCT
aiti-13825	441	16	d.	d.	PROPN
aiti-13825	441	17	kwak	kwak	PROPN
aiti-13825	441	18	,	,	PUNCT
aiti-13825	441	19	a.	a.	PROPN
aiti-13825	441	20	ali	ali	PROPN
aiti-13825	441	21	,	,	PUNCT
aiti-13825	441	22	m.	m.	NOUN
aiti-13825	441	23	imran	imran	PROPN
aiti-13825	441	24	,	,	PUNCT
aiti-13825	441	25	et	et	PROPN
aiti-13825	441	26	al	al	PROPN
aiti-13825	441	27	.	.	PROPN
aiti-13825	441	28	,	,	PUNCT
aiti-13825	441	29	“	"	PUNCT
aiti-13825	441	30	a	a	DET
aiti-13825	441	31	smart	smart	ADJ
aiti-13825	441	32	healthcare	healthcare	NOUN
aiti-13825	441	33	monitoring	monitoring	NOUN
aiti-13825	441	34	system	system	NOUN
aiti-13825	441	35	for	for	ADP
aiti-13825	441	36	heart	heart	NOUN
aiti-13825	441	37	disease	disease	NOUN
aiti-13825	441	38	prediction	prediction	NOUN
aiti-13825	441	39	based	base	VERB
aiti-13825	441	40	on	on	ADP
aiti-13825	441	41	ensemble	ensemble	ADJ
aiti-13825	441	42	deep	deep	ADJ
aiti-13825	441	43	learning	learning	NOUN
aiti-13825	441	44	and	and	CCONJ
aiti-13825	441	45	feature	feature	NOUN
aiti-13825	441	46	fusion	fusion	NOUN
aiti-13825	441	47	,	,	PUNCT
aiti-13825	441	48	”	"	PUNCT
aiti-13825	441	49	information	information	NOUN
aiti-13825	441	50	fusion	fusion	NOUN
aiti-13825	441	51	,	,	PUNCT
aiti-13825	441	52	vol	vol	NOUN
aiti-13825	441	53	.	.	PROPN
aiti-13825	441	54	63	63	NUM
aiti-13825	441	55	,	,	PUNCT
aiti-13825	441	56	pp	pp	ADJ
aiti-13825	441	57	.	.	PUNCT
aiti-13825	442	1	208	208	NUM
aiti-13825	442	2	-	-	SYM
aiti-13825	442	3	222	222	NUM
aiti-13825	442	4	,	,	PUNCT
aiti-13825	442	5	2020	2020	NUM
aiti-13825	442	6	.	.	PUNCT
aiti-13825	443	1	copyright	copyright	NOUN
aiti-13825	443	2	©	©	PROPN
aiti-13825	443	3	by	by	ADP
aiti-13825	443	4	the	the	DET
aiti-13825	443	5	authors	author	NOUN
aiti-13825	443	6	.	.	PUNCT
aiti-13825	444	1	licensee	licensee	PROPN
aiti-13825	444	2	taeti	taeti	PROPN
aiti-13825	444	3	,	,	PUNCT
aiti-13825	444	4	taiwan	taiwan	PROPN
aiti-13825	444	5	.	.	PUNCT
aiti-13825	445	1	this	this	DET
aiti-13825	445	2	article	article	NOUN
aiti-13825	445	3	is	be	AUX
aiti-13825	445	4	an	an	DET
aiti-13825	445	5	open	open	ADJ
aiti-13825	445	6	-	-	PUNCT
aiti-13825	445	7	access	access	NOUN
aiti-13825	445	8	article	article	NOUN
aiti-13825	445	9	distributed	distribute	VERB
aiti-13825	445	10	under	under	ADP
aiti-13825	445	11	the	the	DET
aiti-13825	445	12	terms	term	NOUN
aiti-13825	445	13	and	and	CCONJ
aiti-13825	445	14	conditions	condition	NOUN
aiti-13825	445	15	of	of	ADP
aiti-13825	445	16	the	the	DET
aiti-13825	445	17	creative	creative	ADJ
aiti-13825	445	18	commons	common	NOUN
aiti-13825	445	19	attribution	attribution	NOUN
aiti-13825	445	20	(	(	PUNCT
aiti-13825	445	21	cc	cc	NOUN
aiti-13825	445	22	by	by	ADP
aiti-13825	445	23	-	-	PUNCT
aiti-13825	445	24	nc	nc	NOUN
aiti-13825	445	25	)	)	PUNCT
aiti-13825	445	26	license	license	NOUN
aiti-13825	445	27	(	(	PUNCT
aiti-13825	445	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-13825	445	29	)	)	PUNCT
aiti-13825	445	30	.	.	PUNCT