id	sid	tid	token	lemma	pos
cana-3966	1	1	communications	communication	NOUN
cana-3966	1	2	on	on	ADP
cana-3966	1	3	applied	apply	VERB
cana-3966	1	4	nonlinear	nonlinear	ADJ
cana-3966	1	5	analysis	analysis	NOUN
cana-3966	1	6	issn	issn	NOUN
cana-3966	1	7	:	:	PUNCT
cana-3966	1	8	1074	1074	NUM
cana-3966	1	9	-	-	PUNCT
cana-3966	1	10	133x	133x	NUM
cana-3966	1	11	vol	vol	NOUN
cana-3966	1	12	32	32	NUM
cana-3966	1	13	no	no	NOUN
cana-3966	1	14	.	.	PUNCT
cana-3966	2	1	9s	9s	NUM
cana-3966	2	2	(	(	PUNCT
cana-3966	2	3	2025	2025	NUM
cana-3966	2	4	)	)	PUNCT
cana-3966	2	5	589	589	NUM
cana-3966	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	3	2	ensemble	ensemble	ADJ
cana-3966	3	3	learning	learning	NOUN
cana-3966	3	4	based	base	VERB
cana-3966	3	5	cardiovascular	cardiovascular	ADJ
cana-3966	3	6	disease	disease	NOUN
cana-3966	3	7	prediction	prediction	NOUN
cana-3966	3	8	combining	combine	VERB
cana-3966	3	9	with	with	ADP
cana-3966	3	10	predictive	predictive	ADJ
cana-3966	3	11	analytics	analytic	NOUN
cana-3966	3	12	&	&	CCONJ
cana-3966	3	13	risk	risk	NOUN
cana-3966	3	14	stratification	stratification	PROPN
cana-3966	3	15	s.	s.	PROPN
cana-3966	3	16	ramchandra	ramchandra	PROPN
cana-3966	3	17	reddy	reddy	PROPN
cana-3966	3	18	1	1	NUM
cana-3966	3	19	,	,	PUNCT
cana-3966	3	20	*	*	PUNCT
cana-3966	3	21	,	,	PUNCT
cana-3966	3	22	g.	g.	PROPN
cana-3966	3	23	vishnu	vishnu	PROPN
cana-3966	3	24	murthy	murthy	ADJ
cana-3966	3	25	2	2	NUM
cana-3966	3	26	1	1	NUM
cana-3966	3	27	research	research	NOUN
cana-3966	3	28	scholar	scholar	NOUN
cana-3966	3	29	,	,	PUNCT
cana-3966	3	30	department	department	NOUN
cana-3966	3	31	of	of	ADP
cana-3966	3	32	computer	computer	NOUN
cana-3966	3	33	science	science	NOUN
cana-3966	3	34	and	and	CCONJ
cana-3966	3	35	engineering	engineering	NOUN
cana-3966	3	36	,	,	PUNCT
cana-3966	3	37	anurag	anurag	PROPN
cana-3966	3	38	university	university	PROPN
cana-3966	3	39	,	,	PUNCT
cana-3966	3	40	hyderabad	hyderabad	PROPN
cana-3966	3	41	,	,	PUNCT
cana-3966	3	42	tealangana	tealangana	PROPN
cana-3966	3	43	,	,	PUNCT
cana-3966	3	44	india	india	PROPN
cana-3966	3	45	,	,	PUNCT
cana-3966	3	46	500088	500088	NUM
cana-3966	3	47	.	.	PUNCT
cana-3966	4	1	2	2	NUM
cana-3966	4	2	professor	professor	NOUN
cana-3966	4	3	,	,	PUNCT
cana-3966	4	4	department	department	NOUN
cana-3966	4	5	of	of	ADP
cana-3966	4	6	computer	computer	NOUN
cana-3966	4	7	science	science	NOUN
cana-3966	4	8	and	and	CCONJ
cana-3966	4	9	engineering	engineering	NOUN
cana-3966	4	10	,	,	PUNCT
cana-3966	4	11	anurag	anurag	PROPN
cana-3966	4	12	university	university	PROPN
cana-3966	4	13	,	,	PUNCT
cana-3966	4	14	hyderabad	hyderabad	PROPN
cana-3966	4	15	,	,	PUNCT
cana-3966	4	16	tealangana	tealangana	PROPN
cana-3966	4	17	,	,	PUNCT
cana-3966	4	18	india	india	PROPN
cana-3966	4	19	,	,	PUNCT
cana-3966	4	20	500088	500088	NUM
cana-3966	4	21	.	.	PUNCT
cana-3966	5	1	author	author	NOUN
cana-3966	5	2	emails	email	NOUN
cana-3966	5	3	:	:	PUNCT
cana-3966	5	4	rcreddy79@gmail.com1	rcreddy79@gmail.com1	NUM
cana-3966	5	5	,	,	PUNCT
cana-3966	5	6	deancse@anurag.edu.in2	deancse@anurag.edu.in2	VERB
cana-3966	5	7	article	article	NOUN
cana-3966	5	8	history	history	NOUN
cana-3966	5	9	:	:	PUNCT
cana-3966	5	10	received	receive	VERB
cana-3966	5	11	:	:	PUNCT
cana-3966	5	12	15	15	NUM
cana-3966	5	13	-	-	SYM
cana-3966	5	14	11	11	NUM
cana-3966	5	15	-	-	PUNCT
cana-3966	5	16	2024	2024	NUM
cana-3966	5	17	revised	revise	VERB
cana-3966	5	18	:	:	PUNCT
cana-3966	5	19	26	26	NUM
cana-3966	5	20	-	-	SYM
cana-3966	5	21	12	12	NUM
cana-3966	5	22	-	-	PUNCT
cana-3966	5	23	2024	2024	NUM
cana-3966	5	24	accepted	accept	VERB
cana-3966	5	25	:	:	PUNCT
cana-3966	5	26	10	10	NUM
cana-3966	5	27	-	-	SYM
cana-3966	5	28	01	01	NUM
cana-3966	5	29	-	-	PUNCT
cana-3966	5	30	2025	2025	NUM
cana-3966	5	31	abstract	abstract	NOUN
cana-3966	5	32	:	:	PUNCT
cana-3966	5	33	heart	heart	NOUN
cana-3966	5	34	failure	failure	NOUN
cana-3966	5	35	continues	continue	VERB
cana-3966	5	36	to	to	PART
cana-3966	5	37	be	be	AUX
cana-3966	5	38	a	a	DET
cana-3966	5	39	significant	significant	ADJ
cana-3966	5	40	contributor	contributor	NOUN
cana-3966	5	41	to	to	ADP
cana-3966	5	42	illness	illness	NOUN
cana-3966	5	43	and	and	CCONJ
cana-3966	5	44	death	death	NOUN
cana-3966	5	45	on	on	ADP
cana-3966	5	46	a	a	DET
cana-3966	5	47	global	global	ADJ
cana-3966	5	48	scale	scale	NOUN
cana-3966	5	49	,	,	PUNCT
cana-3966	5	50	highlighting	highlight	VERB
cana-3966	5	51	the	the	DET
cana-3966	5	52	need	need	NOUN
cana-3966	5	53	for	for	ADP
cana-3966	5	54	effective	effective	ADJ
cana-3966	5	55	strategies	strategy	NOUN
cana-3966	5	56	in	in	ADP
cana-3966	5	57	early	early	ADJ
cana-3966	5	58	detection	detection	NOUN
cana-3966	5	59	and	and	CCONJ
cana-3966	5	60	risk	risk	NOUN
cana-3966	5	61	stratification	stratification	NOUN
cana-3966	5	62	.	.	PUNCT
cana-3966	6	1	therefore	therefore	ADV
cana-3966	6	2	,	,	PUNCT
cana-3966	6	3	the	the	DET
cana-3966	6	4	study	study	NOUN
cana-3966	6	5	presents	present	VERB
cana-3966	6	6	an	an	DET
cana-3966	6	7	efficient	efficient	ADJ
cana-3966	6	8	approach	approach	NOUN
cana-3966	6	9	to	to	ADP
cana-3966	6	10	heart	heart	NOUN
cana-3966	6	11	failure	failure	NOUN
cana-3966	6	12	prediction	prediction	NOUN
cana-3966	6	13	by	by	ADP
cana-3966	6	14	integrating	integrate	VERB
cana-3966	6	15	predictive	predictive	ADJ
cana-3966	6	16	analytics	analytic	NOUN
cana-3966	6	17	with	with	ADP
cana-3966	6	18	advanced	advanced	ADJ
cana-3966	6	19	risk	risk	NOUN
cana-3966	6	20	stratification	stratification	NOUN
cana-3966	6	21	techniques	technique	NOUN
cana-3966	6	22	.	.	PUNCT
cana-3966	7	1	this	this	DET
cana-3966	7	2	study	study	NOUN
cana-3966	7	3	develops	develop	VERB
cana-3966	7	4	and	and	CCONJ
cana-3966	7	5	evaluates	evaluate	VERB
cana-3966	7	6	a	a	DET
cana-3966	7	7	novel	novel	ADJ
cana-3966	7	8	ensemble	ensemble	ADJ
cana-3966	7	9	learning	learning	NOUN
cana-3966	7	10	-	-	PUNCT
cana-3966	7	11	based	base	VERB
cana-3966	7	12	predictive	predictive	ADJ
cana-3966	7	13	model	model	NOUN
cana-3966	7	14	that	that	PRON
cana-3966	7	15	combines	combine	VERB
cana-3966	7	16	machine	machine	NOUN
cana-3966	7	17	learning	learn	VERB
cana-3966	7	18	algorithms	algorithm	NOUN
cana-3966	7	19	with	with	ADP
cana-3966	7	20	clinical	clinical	ADJ
cana-3966	7	21	and	and	CCONJ
cana-3966	7	22	demographic	demographic	ADJ
cana-3966	7	23	data	datum	NOUN
cana-3966	7	24	to	to	PART
cana-3966	7	25	enhance	enhance	VERB
cana-3966	7	26	early	early	ADJ
cana-3966	7	27	diagnosis	diagnosis	NOUN
cana-3966	7	28	and	and	CCONJ
cana-3966	7	29	risk	risk	NOUN
cana-3966	7	30	assessment	assessment	NOUN
cana-3966	7	31	.	.	PUNCT
cana-3966	8	1	the	the	DET
cana-3966	8	2	proposed	propose	VERB
cana-3966	8	3	model	model	NOUN
cana-3966	8	4	leverages	leverage	VERB
cana-3966	8	5	multiple	multiple	ADJ
cana-3966	8	6	data	datum	NOUN
cana-3966	8	7	sources	source	NOUN
cana-3966	8	8	,	,	PUNCT
cana-3966	8	9	such	such	ADJ
cana-3966	8	10	as	as	ADP
cana-3966	8	11	electronic	electronic	ADJ
cana-3966	8	12	health	health	NOUN
cana-3966	8	13	records	record	NOUN
cana-3966	8	14	and	and	CCONJ
cana-3966	8	15	patient	patient	NOUN
cana-3966	8	16	history	history	NOUN
cana-3966	8	17	,	,	PUNCT
cana-3966	8	18	to	to	PART
cana-3966	8	19	identify	identify	VERB
cana-3966	8	20	critical	critical	ADJ
cana-3966	8	21	predictors	predictor	NOUN
cana-3966	8	22	and	and	CCONJ
cana-3966	8	23	generate	generate	VERB
cana-3966	8	24	actionable	actionable	ADJ
cana-3966	8	25	insights	insight	NOUN
cana-3966	8	26	.	.	PUNCT
cana-3966	9	1	this	this	DET
cana-3966	9	2	study	study	NOUN
cana-3966	9	3	demonstrates	demonstrate	VERB
cana-3966	9	4	significant	significant	ADJ
cana-3966	9	5	improvements	improvement	NOUN
cana-3966	9	6	in	in	ADP
cana-3966	9	7	prediction	prediction	NOUN
cana-3966	9	8	accuracy	accuracy	NOUN
cana-3966	9	9	compared	compare	VERB
cana-3966	9	10	to	to	ADP
cana-3966	9	11	gbc	gbc	PROPN
cana-3966	9	12	,	,	PUNCT
cana-3966	9	13	rf	rf	NOUN
cana-3966	9	14	,	,	PUNCT
cana-3966	9	15	lr	lr	INTJ
cana-3966	9	16	,	,	PUNCT
cana-3966	9	17	dtc	dtc	PROPN
cana-3966	9	18	,	,	PUNCT
cana-3966	9	19	and	and	CCONJ
cana-3966	9	20	mlp	mlp	PROPN
cana-3966	9	21	4	4	NUM
cana-3966	9	22	%	%	NOUN
cana-3966	9	23	,	,	PUNCT
cana-3966	9	24	4	4	NUM
cana-3966	9	25	%	%	NOUN
cana-3966	9	26	,	,	PUNCT
cana-3966	9	27	6	6	NUM
cana-3966	9	28	%	%	NOUN
cana-3966	9	29	,	,	PUNCT
cana-3966	9	30	5	5	NUM
cana-3966	9	31	%	%	NOUN
cana-3966	9	32	,	,	PUNCT
cana-3966	9	33	and	and	CCONJ
cana-3966	9	34	4	4	NUM
cana-3966	9	35	%	%	NOUN
cana-3966	9	36	,	,	PUNCT
cana-3966	9	37	respectively	respectively	ADV
cana-3966	9	38	,	,	PUNCT
cana-3966	9	39	with	with	ADP
cana-3966	9	40	enhanced	enhanced	ADJ
cana-3966	9	41	capability	capability	NOUN
cana-3966	9	42	to	to	PART
cana-3966	9	43	identify	identify	VERB
cana-3966	9	44	high	high	ADJ
cana-3966	9	45	-	-	PUNCT
cana-3966	9	46	risk	risk	NOUN
cana-3966	9	47	individuals	individual	NOUN
cana-3966	9	48	before	before	ADP
cana-3966	9	49	the	the	DET
cana-3966	9	50	onset	onset	NOUN
cana-3966	9	51	of	of	ADP
cana-3966	9	52	severe	severe	ADJ
cana-3966	9	53	symptoms	symptom	NOUN
cana-3966	9	54	.	.	PUNCT
cana-3966	10	1	by	by	ADP
cana-3966	10	2	integrating	integrate	VERB
cana-3966	10	3	these	these	DET
cana-3966	10	4	predictive	predictive	ADJ
cana-3966	10	5	and	and	CCONJ
cana-3966	10	6	stratification	stratification	NOUN
cana-3966	10	7	techniques	technique	NOUN
cana-3966	10	8	,	,	PUNCT
cana-3966	10	9	the	the	DET
cana-3966	10	10	study	study	NOUN
cana-3966	10	11	offers	offer	VERB
cana-3966	10	12	a	a	DET
cana-3966	10	13	robust	robust	ADJ
cana-3966	10	14	framework	framework	NOUN
cana-3966	10	15	for	for	ADP
cana-3966	10	16	early	early	ADJ
cana-3966	10	17	intervention	intervention	NOUN
cana-3966	10	18	and	and	CCONJ
cana-3966	10	19	personalized	personalized	ADJ
cana-3966	10	20	treatment	treatment	NOUN
cana-3966	10	21	,	,	PUNCT
cana-3966	10	22	ultimately	ultimately	ADV
cana-3966	10	23	contributing	contribute	VERB
cana-3966	10	24	to	to	ADP
cana-3966	10	25	better	well	ADJ
cana-3966	10	26	management	management	NOUN
cana-3966	10	27	of	of	ADP
cana-3966	10	28	heart	heart	NOUN
cana-3966	10	29	failure	failure	NOUN
cana-3966	10	30	and	and	CCONJ
cana-3966	10	31	improved	improve	VERB
cana-3966	10	32	patient	patient	ADJ
cana-3966	10	33	outcomes	outcome	NOUN
cana-3966	10	34	.	.	PUNCT
cana-3966	11	1	these	these	DET
cana-3966	11	2	findings	finding	NOUN
cana-3966	11	3	show	show	VERB
cana-3966	11	4	the	the	DET
cana-3966	11	5	potential	potential	NOUN
cana-3966	11	6	of	of	ADP
cana-3966	11	7	combining	combine	VERB
cana-3966	11	8	advanced	advanced	ADJ
cana-3966	11	9	analytics	analytic	NOUN
cana-3966	11	10	with	with	ADP
cana-3966	11	11	clinical	clinical	ADJ
cana-3966	11	12	expertise	expertise	NOUN
cana-3966	11	13	to	to	PART
cana-3966	11	14	advance	advance	VERB
cana-3966	11	15	heart	heart	NOUN
cana-3966	11	16	failure	failure	NOUN
cana-3966	11	17	prediction	prediction	NOUN
cana-3966	11	18	and	and	CCONJ
cana-3966	11	19	management	management	NOUN
cana-3966	11	20	.	.	PUNCT
cana-3966	12	1	keywords	keyword	NOUN
cana-3966	12	2	:	:	PUNCT
cana-3966	12	3	cardiovascular	cardiovascular	ADJ
cana-3966	12	4	disease	disease	NOUN
cana-3966	12	5	,	,	PUNCT
cana-3966	12	6	electronic	electronic	ADJ
cana-3966	12	7	health	health	NOUN
cana-3966	12	8	record(ehr	record(ehr	NOUN
cana-3966	12	9	)	)	PUNCT
cana-3966	12	10	,	,	PUNCT
cana-3966	12	11	ensemble	ensemble	ADJ
cana-3966	12	12	,	,	PUNCT
cana-3966	12	13	heart	heart	NOUN
cana-3966	12	14	failure	failure	NOUN
cana-3966	12	15	,	,	PUNCT
cana-3966	12	16	machine	machine	NOUN
cana-3966	12	17	learning	learning	NOUN
cana-3966	12	18	,	,	PUNCT
cana-3966	12	19	random	random	ADJ
cana-3966	12	20	forest	forest	NOUN
cana-3966	12	21	.	.	PUNCT
cana-3966	13	1	1	1	X
cana-3966	13	2	.	.	X
cana-3966	13	3	introduction	introduction	NOUN
cana-3966	13	4	heart	heart	NOUN
cana-3966	13	5	failure	failure	NOUN
cana-3966	13	6	(	(	PUNCT
cana-3966	13	7	hf	hf	NOUN
cana-3966	13	8	)	)	PUNCT
cana-3966	13	9	is	be	AUX
cana-3966	13	10	a	a	DET
cana-3966	13	11	complex	complex	ADJ
cana-3966	13	12	and	and	CCONJ
cana-3966	13	13	critical	critical	ADJ
cana-3966	13	14	public	public	ADJ
cana-3966	13	15	health	health	NOUN
cana-3966	13	16	issue	issue	NOUN
cana-3966	13	17	characterized	characterize	VERB
cana-3966	13	18	by	by	ADP
cana-3966	13	19	the	the	DET
cana-3966	13	20	heart	heart	NOUN
cana-3966	13	21	's	's	PART
cana-3966	13	22	inability	inability	NOUN
cana-3966	13	23	to	to	PART
cana-3966	13	24	pump	pump	VERB
cana-3966	13	25	blood	blood	NOUN
cana-3966	13	26	efficiently	efficiently	ADV
cana-3966	13	27	,	,	PUNCT
cana-3966	13	28	leading	lead	VERB
cana-3966	13	29	to	to	ADP
cana-3966	13	30	significant	significant	ADJ
cana-3966	13	31	morbidity	morbidity	NOUN
cana-3966	13	32	,	,	PUNCT
cana-3966	13	33	mortality	mortality	NOUN
cana-3966	13	34	,	,	PUNCT
cana-3966	13	35	and	and	CCONJ
cana-3966	13	36	a	a	DET
cana-3966	13	37	heavy	heavy	ADJ
cana-3966	13	38	burden	burden	NOUN
cana-3966	13	39	on	on	ADP
cana-3966	13	40	healthcare	healthcare	NOUN
cana-3966	13	41	systems	system	NOUN
cana-3966	13	42	worldwide	worldwide	ADV
cana-3966	13	43	[	[	X
cana-3966	13	44	1	1	NUM
cana-3966	13	45	]	]	PUNCT
cana-3966	13	46	.	.	PUNCT
cana-3966	14	1	hf	hf	PROPN
cana-3966	14	2	affects	affect	VERB
cana-3966	14	3	millions	million	NOUN
cana-3966	14	4	of	of	ADP
cana-3966	14	5	individuals	individual	NOUN
cana-3966	14	6	,	,	PUNCT
cana-3966	14	7	and	and	CCONJ
cana-3966	14	8	its	its	PRON
cana-3966	14	9	prevalence	prevalence	NOUN
cana-3966	14	10	continues	continue	VERB
cana-3966	14	11	to	to	PART
cana-3966	14	12	rise	rise	VERB
cana-3966	14	13	due	due	ADJ
cana-3966	14	14	to	to	ADP
cana-3966	14	15	factors	factor	NOUN
cana-3966	14	16	such	such	ADJ
cana-3966	14	17	as	as	ADP
cana-3966	14	18	aging	age	VERB
cana-3966	14	19	populations	population	NOUN
cana-3966	14	20	,	,	PUNCT
cana-3966	14	21	lifestyle	lifestyle	NOUN
cana-3966	14	22	changes	change	NOUN
cana-3966	14	23	,	,	PUNCT
cana-3966	14	24	and	and	CCONJ
cana-3966	14	25	increasing	increase	VERB
cana-3966	14	26	rates	rate	NOUN
cana-3966	14	27	of	of	ADP
cana-3966	14	28	cardiovascular	cardiovascular	ADJ
cana-3966	14	29	diseases	disease	NOUN
cana-3966	14	30	.	.	PUNCT
cana-3966	15	1	this	this	DET
cana-3966	15	2	growing	grow	VERB
cana-3966	15	3	global	global	ADJ
cana-3966	15	4	health	health	NOUN
cana-3966	15	5	concern	concern	NOUN
cana-3966	15	6	underscores	underscore	VERB
cana-3966	15	7	the	the	DET
cana-3966	15	8	need	need	NOUN
cana-3966	15	9	for	for	ADP
cana-3966	15	10	innovative	innovative	ADJ
cana-3966	15	11	approaches	approach	NOUN
cana-3966	15	12	to	to	ADP
cana-3966	15	13	early	early	ADJ
cana-3966	15	14	detection	detection	NOUN
cana-3966	15	15	,	,	PUNCT
cana-3966	15	16	accurate	accurate	ADJ
cana-3966	15	17	diagnosis	diagnosis	NOUN
cana-3966	15	18	,	,	PUNCT
cana-3966	15	19	and	and	CCONJ
cana-3966	15	20	effective	effective	ADJ
cana-3966	15	21	management	management	NOUN
cana-3966	15	22	of	of	ADP
cana-3966	15	23	hf	hf	NOUN
cana-3966	15	24	.	.	PUNCT
cana-3966	16	1	traditional	traditional	ADJ
cana-3966	16	2	diagnostic	diagnostic	ADJ
cana-3966	16	3	methods	method	NOUN
cana-3966	16	4	,	,	PUNCT
cana-3966	16	5	which	which	PRON
cana-3966	16	6	often	often	ADV
cana-3966	16	7	identify	identify	VERB
cana-3966	16	8	hf	hf	ADV
cana-3966	16	9	at	at	ADP
cana-3966	16	10	its	its	PRON
cana-3966	16	11	later	later	ADJ
cana-3966	16	12	stages	stage	NOUN
cana-3966	16	13	when	when	SCONJ
cana-3966	16	14	symptoms	symptom	NOUN
cana-3966	16	15	are	be	AUX
cana-3966	16	16	more	more	ADV
cana-3966	16	17	severe	severe	ADJ
cana-3966	16	18	,	,	PUNCT
cana-3966	16	19	limit	limit	VERB
cana-3966	16	20	the	the	DET
cana-3966	16	21	potential	potential	NOUN
cana-3966	16	22	for	for	ADP
cana-3966	16	23	early	early	ADJ
cana-3966	16	24	treatment	treatment	NOUN
cana-3966	16	25	and	and	CCONJ
cana-3966	16	26	intervention	intervention	NOUN
cana-3966	16	27	,	,	PUNCT
cana-3966	16	28	resulting	result	VERB
cana-3966	16	29	in	in	ADP
cana-3966	16	30	poorer	poor	ADJ
cana-3966	16	31	patient	patient	ADJ
cana-3966	16	32	outcomes	outcome	NOUN
cana-3966	16	33	and	and	CCONJ
cana-3966	16	34	higher	high	ADJ
cana-3966	16	35	healthcare	healthcare	NOUN
cana-3966	16	36	costs	cost	NOUN
cana-3966	16	37	[	[	X
cana-3966	16	38	2	2	NUM
cana-3966	16	39	]	]	PUNCT
cana-3966	16	40	,	,	PUNCT
cana-3966	16	41	[	[	X
cana-3966	16	42	3	3	NUM
cana-3966	16	43	]	]	PUNCT
cana-3966	16	44	.	.	PUNCT
cana-3966	17	1	recent	recent	ADJ
cana-3966	17	2	advancements	advancement	NOUN
cana-3966	17	3	in	in	ADP
cana-3966	17	4	predictive	predictive	ADJ
cana-3966	17	5	analytics	analytic	NOUN
cana-3966	17	6	and	and	CCONJ
cana-3966	17	7	machine	machine	NOUN
cana-3966	17	8	learning	learning	NOUN
cana-3966	17	9	present	present	ADJ
cana-3966	17	10	promising	promise	VERB
cana-3966	17	11	opportunities	opportunity	NOUN
cana-3966	17	12	to	to	PART
cana-3966	17	13	address	address	VERB
cana-3966	17	14	these	these	DET
cana-3966	17	15	challenges	challenge	NOUN
cana-3966	17	16	by	by	ADP
cana-3966	17	17	enhancing	enhance	VERB
cana-3966	17	18	the	the	DET
cana-3966	17	19	accuracy	accuracy	NOUN
cana-3966	17	20	and	and	CCONJ
cana-3966	17	21	timeliness	timeliness	NOUN
cana-3966	17	22	of	of	ADP
cana-3966	17	23	hf	hf	NOUN
cana-3966	17	24	prediction	prediction	NOUN
cana-3966	17	25	[	[	X
cana-3966	17	26	4	4	NUM
cana-3966	17	27	]	]	PUNCT
cana-3966	17	28	,	,	PUNCT
cana-3966	17	29	[	[	X
cana-3966	17	30	5	5	NUM
cana-3966	17	31	]	]	PUNCT
cana-3966	17	32	.	.	PUNCT
cana-3966	18	1	predictive	predictive	ADJ
cana-3966	18	2	models	model	NOUN
cana-3966	18	3	that	that	PRON
cana-3966	18	4	leverage	leverage	VERB
cana-3966	18	5	diverse	diverse	ADJ
cana-3966	18	6	data	datum	NOUN
cana-3966	18	7	sources	source	NOUN
cana-3966	18	8	,	,	PUNCT
cana-3966	18	9	including	include	VERB
cana-3966	18	10	electronic	electronic	ADJ
cana-3966	18	11	health	health	NOUN
cana-3966	18	12	records	record	NOUN
cana-3966	18	13	(	(	PUNCT
cana-3966	18	14	ehrs	ehrs	INTJ
cana-3966	18	15	)	)	PUNCT
cana-3966	18	16	,	,	PUNCT
cana-3966	18	17	patient	patient	ADJ
cana-3966	18	18	mailto	mailto	NOUN
cana-3966	18	19	:	:	PUNCT
cana-3966	18	20	rcreddy79@gmail.com1	rcreddy79@gmail.com1	PROPN
cana-3966	18	21	mailto:deancse@anurag.edu.in	mailto:deancse@anurag.edu.in	NOUN
cana-3966	18	22	communications	communication	NOUN
cana-3966	18	23	on	on	ADP
cana-3966	18	24	applied	apply	VERB
cana-3966	18	25	nonlinear	nonlinear	ADJ
cana-3966	18	26	analysis	analysis	NOUN
cana-3966	18	27	issn	issn	NOUN
cana-3966	18	28	:	:	PUNCT
cana-3966	18	29	1074	1074	NUM
cana-3966	18	30	-	-	PUNCT
cana-3966	18	31	133x	133x	NUM
cana-3966	18	32	vol	vol	NOUN
cana-3966	18	33	32	32	NUM
cana-3966	18	34	no	no	NOUN
cana-3966	18	35	.	.	PUNCT
cana-3966	19	1	9s	9s	NUM
cana-3966	19	2	(	(	PUNCT
cana-3966	19	3	2025	2025	NUM
cana-3966	19	4	)	)	PUNCT
cana-3966	19	5	590	590	NUM
cana-3966	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	19	7	demographics	demographic	NOUN
cana-3966	19	8	,	,	PUNCT
cana-3966	19	9	clinical	clinical	ADJ
cana-3966	19	10	history	history	NOUN
cana-3966	19	11	,	,	PUNCT
cana-3966	19	12	and	and	CCONJ
cana-3966	19	13	lifestyle	lifestyle	PROPN
cana-3966	19	14	data	datum	NOUN
cana-3966	19	15	,	,	PUNCT
cana-3966	19	16	offer	offer	VERB
cana-3966	19	17	a	a	DET
cana-3966	19	18	more	more	ADV
cana-3966	19	19	comprehensive	comprehensive	ADJ
cana-3966	19	20	assessment	assessment	NOUN
cana-3966	19	21	of	of	ADP
cana-3966	19	22	a	a	DET
cana-3966	19	23	patient	patient	NOUN
cana-3966	19	24	’s	’s	PART
cana-3966	19	25	risk	risk	NOUN
cana-3966	19	26	profile	profile	NOUN
cana-3966	19	27	.	.	PUNCT
cana-3966	20	1	these	these	DET
cana-3966	20	2	models	model	NOUN
cana-3966	20	3	are	be	AUX
cana-3966	20	4	capable	capable	ADJ
cana-3966	20	5	of	of	ADP
cana-3966	20	6	identifying	identify	VERB
cana-3966	20	7	patterns	pattern	NOUN
cana-3966	20	8	,	,	PUNCT
cana-3966	20	9	correlations	correlation	NOUN
cana-3966	20	10	,	,	PUNCT
cana-3966	20	11	and	and	CCONJ
cana-3966	20	12	risk	risk	NOUN
cana-3966	20	13	factors	factor	NOUN
cana-3966	20	14	that	that	SCONJ
cana-3966	20	15	traditional	traditional	ADJ
cana-3966	20	16	diagnostic	diagnostic	ADJ
cana-3966	20	17	methods	method	NOUN
cana-3966	20	18	may	may	AUX
cana-3966	20	19	overlook	overlook	VERB
cana-3966	20	20	.	.	PUNCT
cana-3966	21	1	by	by	ADP
cana-3966	21	2	employing	employ	VERB
cana-3966	21	3	machine	machine	NOUN
cana-3966	21	4	learning	learning	NOUN
cana-3966	21	5	algorithms	algorithm	NOUN
cana-3966	21	6	,	,	PUNCT
cana-3966	21	7	it	it	PRON
cana-3966	21	8	becomes	become	VERB
cana-3966	21	9	possible	possible	ADJ
cana-3966	21	10	to	to	PART
cana-3966	21	11	predict	predict	VERB
cana-3966	21	12	hf	hf	NOUN
cana-3966	21	13	at	at	ADP
cana-3966	21	14	an	an	DET
cana-3966	21	15	earlier	early	ADJ
cana-3966	21	16	stage	stage	NOUN
cana-3966	21	17	,	,	PUNCT
cana-3966	21	18	thus	thus	ADV
cana-3966	21	19	enabling	enable	VERB
cana-3966	21	20	clinicians	clinician	NOUN
cana-3966	21	21	to	to	PART
cana-3966	21	22	implement	implement	VERB
cana-3966	21	23	preventive	preventive	ADJ
cana-3966	21	24	measures	measure	NOUN
cana-3966	21	25	and	and	CCONJ
cana-3966	21	26	more	more	ADJ
cana-3966	21	27	personalized	personalized	ADJ
cana-3966	21	28	treatment	treatment	NOUN
cana-3966	21	29	plans	plan	NOUN
cana-3966	21	30	.	.	PUNCT
cana-3966	22	1	early	early	ADJ
cana-3966	22	2	detection	detection	NOUN
cana-3966	22	3	through	through	ADP
cana-3966	22	4	predictive	predictive	ADJ
cana-3966	22	5	analytics	analytic	NOUN
cana-3966	22	6	can	can	AUX
cana-3966	22	7	potentially	potentially	ADV
cana-3966	22	8	reduce	reduce	VERB
cana-3966	22	9	the	the	DET
cana-3966	22	10	progression	progression	NOUN
cana-3966	22	11	of	of	ADP
cana-3966	22	12	hf	hf	NOUN
cana-3966	22	13	and	and	CCONJ
cana-3966	22	14	improve	improve	VERB
cana-3966	22	15	the	the	DET
cana-3966	22	16	quality	quality	NOUN
cana-3966	22	17	of	of	ADP
cana-3966	22	18	life	life	NOUN
cana-3966	22	19	for	for	ADP
cana-3966	22	20	patients	patient	NOUN
cana-3966	22	21	.	.	PUNCT
cana-3966	23	1	a	a	DET
cana-3966	23	2	key	key	ADJ
cana-3966	23	3	component	component	NOUN
cana-3966	23	4	of	of	ADP
cana-3966	23	5	effective	effective	ADJ
cana-3966	23	6	hf	hf	NOUN
cana-3966	23	7	management	management	NOUN
cana-3966	23	8	is	be	AUX
cana-3966	23	9	risk	risk	NOUN
cana-3966	23	10	stratification	stratification	NOUN
cana-3966	23	11	,	,	PUNCT
cana-3966	23	12	which	which	PRON
cana-3966	23	13	involves	involve	VERB
cana-3966	23	14	categorizing	categorize	VERB
cana-3966	23	15	patients	patient	NOUN
cana-3966	23	16	based	base	VERB
cana-3966	23	17	on	on	ADP
cana-3966	23	18	their	their	PRON
cana-3966	23	19	likelihood	likelihood	NOUN
cana-3966	23	20	of	of	ADP
cana-3966	23	21	developing	develop	VERB
cana-3966	23	22	hf	hf	NOUN
cana-3966	23	23	or	or	CCONJ
cana-3966	23	24	experiencing	experience	VERB
cana-3966	23	25	adverse	adverse	ADJ
cana-3966	23	26	outcomes	outcome	NOUN
cana-3966	23	27	.	.	PUNCT
cana-3966	24	1	accurate	accurate	ADJ
cana-3966	24	2	risk	risk	NOUN
cana-3966	24	3	stratification	stratification	NOUN
cana-3966	24	4	is	be	AUX
cana-3966	24	5	essential	essential	ADJ
cana-3966	24	6	for	for	SCONJ
cana-3966	24	7	healthcare	healthcare	NOUN
cana-3966	24	8	providers	provider	NOUN
cana-3966	24	9	to	to	PART
cana-3966	24	10	prioritize	prioritize	VERB
cana-3966	24	11	clinical	clinical	ADJ
cana-3966	24	12	interventions	intervention	NOUN
cana-3966	24	13	,	,	PUNCT
cana-3966	24	14	allocate	allocate	VERB
cana-3966	24	15	resources	resource	NOUN
cana-3966	24	16	efficiently	efficiently	ADV
cana-3966	24	17	,	,	PUNCT
cana-3966	24	18	and	and	CCONJ
cana-3966	24	19	tailor	tailor	NOUN
cana-3966	24	20	treatment	treatment	NOUN
cana-3966	24	21	plans	plan	NOUN
cana-3966	24	22	to	to	PART
cana-3966	24	23	individual	individual	ADJ
cana-3966	24	24	patient	patient	NOUN
cana-3966	24	25	needs	need	NOUN
cana-3966	24	26	[	[	X
cana-3966	24	27	6	6	NUM
cana-3966	24	28	]	]	PUNCT
cana-3966	24	29	.	.	PUNCT
cana-3966	25	1	current	current	ADJ
cana-3966	25	2	risk	risk	NOUN
cana-3966	25	3	stratification	stratification	NOUN
cana-3966	25	4	techniques	technique	NOUN
cana-3966	25	5	often	often	ADV
cana-3966	25	6	lack	lack	VERB
cana-3966	25	7	the	the	DET
cana-3966	25	8	precision	precision	NOUN
cana-3966	25	9	required	require	VERB
cana-3966	25	10	for	for	ADP
cana-3966	25	11	personalized	personalized	ADJ
cana-3966	25	12	care	care	NOUN
cana-3966	25	13	and	and	CCONJ
cana-3966	25	14	may	may	AUX
cana-3966	25	15	not	not	PART
cana-3966	25	16	fully	fully	ADV
cana-3966	25	17	utilize	utilize	VERB
cana-3966	25	18	the	the	DET
cana-3966	25	19	vast	vast	ADJ
cana-3966	25	20	amount	amount	NOUN
cana-3966	25	21	of	of	ADP
cana-3966	25	22	available	available	ADJ
cana-3966	25	23	healthcare	healthcare	PROPN
cana-3966	25	24	data	data	PROPN
cana-3966	25	25	.	.	PUNCT
cana-3966	26	1	as	as	ADP
cana-3966	26	2	a	a	DET
cana-3966	26	3	result	result	NOUN
cana-3966	26	4	,	,	PUNCT
cana-3966	26	5	there	there	PRON
cana-3966	26	6	is	be	VERB
cana-3966	26	7	a	a	DET
cana-3966	26	8	need	need	NOUN
cana-3966	26	9	for	for	ADP
cana-3966	26	10	more	more	ADV
cana-3966	26	11	sophisticated	sophisticated	ADJ
cana-3966	26	12	models	model	NOUN
cana-3966	26	13	that	that	PRON
cana-3966	26	14	integrate	integrate	VERB
cana-3966	26	15	advanced	advanced	ADJ
cana-3966	26	16	analytics	analytic	NOUN
cana-3966	26	17	with	with	ADP
cana-3966	26	18	robust	robust	ADJ
cana-3966	26	19	risk	risk	NOUN
cana-3966	26	20	stratification	stratification	NOUN
cana-3966	26	21	methods	method	NOUN
cana-3966	26	22	.	.	PUNCT
cana-3966	27	1	the	the	DET
cana-3966	27	2	objective	objective	NOUN
cana-3966	27	3	of	of	ADP
cana-3966	27	4	this	this	DET
cana-3966	27	5	research	research	NOUN
cana-3966	27	6	is	be	AUX
cana-3966	27	7	to	to	PART
cana-3966	27	8	develop	develop	VERB
cana-3966	27	9	and	and	CCONJ
cana-3966	27	10	evaluate	evaluate	VERB
cana-3966	27	11	an	an	DET
cana-3966	27	12	integrated	integrated	ADJ
cana-3966	27	13	approach	approach	NOUN
cana-3966	27	14	that	that	PRON
cana-3966	27	15	combines	combine	VERB
cana-3966	27	16	predictive	predictive	ADJ
cana-3966	27	17	analytics	analytic	NOUN
cana-3966	27	18	with	with	ADP
cana-3966	27	19	ensemble	ensemble	ADJ
cana-3966	27	20	learning	learning	NOUN
cana-3966	27	21	techniques	technique	NOUN
cana-3966	27	22	to	to	PART
cana-3966	27	23	enhance	enhance	VERB
cana-3966	27	24	hf	hf	ADP
cana-3966	27	25	prediction	prediction	NOUN
cana-3966	27	26	and	and	CCONJ
cana-3966	27	27	risk	risk	NOUN
cana-3966	27	28	stratification	stratification	NOUN
cana-3966	27	29	.	.	PUNCT
cana-3966	28	1	ensemble	ensemble	ADJ
cana-3966	28	2	learning	learning	NOUN
cana-3966	28	3	,	,	PUNCT
cana-3966	28	4	which	which	PRON
cana-3966	28	5	aggregates	aggregate	VERB
cana-3966	28	6	the	the	DET
cana-3966	28	7	predictive	predictive	ADJ
cana-3966	28	8	capabilities	capability	NOUN
cana-3966	28	9	of	of	ADP
cana-3966	28	10	multiple	multiple	ADJ
cana-3966	28	11	machine	machine	NOUN
cana-3966	28	12	learning	learning	NOUN
cana-3966	28	13	models	model	NOUN
cana-3966	28	14	,	,	PUNCT
cana-3966	28	15	has	have	AUX
cana-3966	28	16	been	be	AUX
cana-3966	28	17	shown	show	VERB
cana-3966	28	18	to	to	PART
cana-3966	28	19	improve	improve	VERB
cana-3966	28	20	accuracy	accuracy	NOUN
cana-3966	28	21	and	and	CCONJ
cana-3966	28	22	robustness	robustness	NOUN
cana-3966	28	23	in	in	ADP
cana-3966	28	24	various	various	ADJ
cana-3966	28	25	predictive	predictive	ADJ
cana-3966	28	26	tasks	task	NOUN
cana-3966	28	27	.	.	PUNCT
cana-3966	29	1	by	by	ADP
cana-3966	29	2	leveraging	leverage	VERB
cana-3966	29	3	ensemble	ensemble	ADJ
cana-3966	29	4	methods	method	NOUN
cana-3966	29	5	,	,	PUNCT
cana-3966	29	6	this	this	DET
cana-3966	29	7	study	study	NOUN
cana-3966	29	8	aims	aim	VERB
cana-3966	29	9	to	to	PART
cana-3966	29	10	create	create	VERB
cana-3966	29	11	a	a	DET
cana-3966	29	12	predictive	predictive	ADJ
cana-3966	29	13	model	model	NOUN
cana-3966	29	14	that	that	SCONJ
cana-3966	29	15	not	not	PART
cana-3966	29	16	only	only	ADV
cana-3966	29	17	outperforms	outperform	VERB
cana-3966	29	18	traditional	traditional	ADJ
cana-3966	29	19	diagnostic	diagnostic	ADJ
cana-3966	29	20	approaches	approach	NOUN
cana-3966	29	21	but	but	CCONJ
cana-3966	29	22	also	also	ADV
cana-3966	29	23	delivers	deliver	VERB
cana-3966	29	24	more	more	ADV
cana-3966	29	25	reliable	reliable	ADJ
cana-3966	29	26	and	and	CCONJ
cana-3966	29	27	actionable	actionable	ADJ
cana-3966	29	28	insights	insight	NOUN
cana-3966	29	29	into	into	ADP
cana-3966	29	30	patient	patient	ADJ
cana-3966	29	31	risk	risk	NOUN
cana-3966	29	32	.	.	PUNCT
cana-3966	30	1	the	the	DET
cana-3966	30	2	proposed	propose	VERB
cana-3966	30	3	model	model	NOUN
cana-3966	30	4	will	will	AUX
cana-3966	30	5	utilize	utilize	VERB
cana-3966	30	6	a	a	DET
cana-3966	30	7	broad	broad	ADJ
cana-3966	30	8	array	array	NOUN
cana-3966	30	9	of	of	ADP
cana-3966	30	10	clinical	clinical	ADJ
cana-3966	30	11	and	and	CCONJ
cana-3966	30	12	demographic	demographic	ADJ
cana-3966	30	13	data	datum	NOUN
cana-3966	30	14	to	to	PART
cana-3966	30	15	build	build	VERB
cana-3966	30	16	a	a	DET
cana-3966	30	17	holistic	holistic	ADJ
cana-3966	30	18	framework	framework	NOUN
cana-3966	30	19	for	for	ADP
cana-3966	30	20	hf	hf	PROPN
cana-3966	30	21	prediction	prediction	NOUN
cana-3966	30	22	,	,	PUNCT
cana-3966	30	23	enabling	enable	VERB
cana-3966	30	24	earlier	early	ADJ
cana-3966	30	25	identification	identification	NOUN
cana-3966	30	26	of	of	ADP
cana-3966	30	27	high	high	ADJ
cana-3966	30	28	-	-	PUNCT
cana-3966	30	29	risk	risk	NOUN
cana-3966	30	30	individuals	individual	NOUN
cana-3966	30	31	and	and	CCONJ
cana-3966	30	32	supporting	support	VERB
cana-3966	30	33	personalized	personalized	ADJ
cana-3966	30	34	treatment	treatment	NOUN
cana-3966	30	35	strategies	strategy	NOUN
cana-3966	30	36	.	.	PUNCT
cana-3966	31	1	this	this	DET
cana-3966	31	2	research	research	NOUN
cana-3966	31	3	also	also	ADV
cana-3966	31	4	seeks	seek	VERB
cana-3966	31	5	to	to	PART
cana-3966	31	6	bridge	bridge	VERB
cana-3966	31	7	the	the	DET
cana-3966	31	8	gap	gap	NOUN
cana-3966	31	9	between	between	ADP
cana-3966	31	10	advancements	advancement	NOUN
cana-3966	31	11	in	in	ADP
cana-3966	31	12	machine	machine	NOUN
cana-3966	31	13	learning	learning	NOUN
cana-3966	31	14	and	and	CCONJ
cana-3966	31	15	their	their	PRON
cana-3966	31	16	practical	practical	ADJ
cana-3966	31	17	application	application	NOUN
cana-3966	31	18	in	in	ADP
cana-3966	31	19	real	real	ADJ
cana-3966	31	20	-	-	PUNCT
cana-3966	31	21	world	world	NOUN
cana-3966	31	22	clinical	clinical	ADJ
cana-3966	31	23	settings	setting	NOUN
cana-3966	31	24	.	.	PUNCT
cana-3966	32	1	despite	despite	SCONJ
cana-3966	32	2	the	the	DET
cana-3966	32	3	potential	potential	NOUN
cana-3966	32	4	of	of	ADP
cana-3966	32	5	predictive	predictive	ADJ
cana-3966	32	6	analytics	analytic	NOUN
cana-3966	32	7	,	,	PUNCT
cana-3966	32	8	its	its	PRON
cana-3966	32	9	integration	integration	NOUN
cana-3966	32	10	into	into	ADP
cana-3966	32	11	routine	routine	ADJ
cana-3966	32	12	clinical	clinical	ADJ
cana-3966	32	13	practice	practice	NOUN
cana-3966	32	14	for	for	ADP
cana-3966	32	15	hf	hf	PROPN
cana-3966	32	16	prediction	prediction	NOUN
cana-3966	32	17	remains	remain	VERB
cana-3966	32	18	limited	limited	ADJ
cana-3966	32	19	.	.	PUNCT
cana-3966	33	1	many	many	ADJ
cana-3966	33	2	predictive	predictive	ADJ
cana-3966	33	3	models	model	NOUN
cana-3966	33	4	are	be	AUX
cana-3966	33	5	developed	develop	VERB
cana-3966	33	6	in	in	ADP
cana-3966	33	7	research	research	NOUN
cana-3966	33	8	settings	setting	NOUN
cana-3966	33	9	but	but	CCONJ
cana-3966	33	10	are	be	AUX
cana-3966	33	11	not	not	PART
cana-3966	33	12	widely	widely	ADV
cana-3966	33	13	adopted	adopt	VERB
cana-3966	33	14	due	due	ADP
cana-3966	33	15	to	to	ADP
cana-3966	33	16	challenges	challenge	NOUN
cana-3966	33	17	related	relate	VERB
cana-3966	33	18	to	to	ADP
cana-3966	33	19	implementation	implementation	NOUN
cana-3966	33	20	,	,	PUNCT
cana-3966	33	21	validation	validation	NOUN
cana-3966	33	22	,	,	PUNCT
cana-3966	33	23	and	and	CCONJ
cana-3966	33	24	clinician	clinician	NOUN
cana-3966	33	25	usability	usability	NOUN
cana-3966	33	26	.	.	PUNCT
cana-3966	34	1	therefore	therefore	ADV
cana-3966	34	2	,	,	PUNCT
cana-3966	34	3	this	this	DET
cana-3966	34	4	study	study	NOUN
cana-3966	34	5	focuses	focus	VERB
cana-3966	34	6	not	not	PART
cana-3966	34	7	only	only	ADV
cana-3966	34	8	on	on	ADP
cana-3966	34	9	the	the	DET
cana-3966	34	10	development	development	NOUN
cana-3966	34	11	of	of	ADP
cana-3966	34	12	a	a	DET
cana-3966	34	13	predictive	predictive	ADJ
cana-3966	34	14	model	model	NOUN
cana-3966	34	15	but	but	CCONJ
cana-3966	34	16	also	also	ADV
cana-3966	34	17	on	on	ADP
cana-3966	34	18	ensuring	ensure	VERB
cana-3966	34	19	its	its	PRON
cana-3966	34	20	practical	practical	ADJ
cana-3966	34	21	applicability	applicability	NOUN
cana-3966	34	22	and	and	CCONJ
cana-3966	34	23	scalability	scalability	NOUN
cana-3966	34	24	in	in	ADP
cana-3966	34	25	healthcare	healthcare	NOUN
cana-3966	34	26	environments	environment	NOUN
cana-3966	34	27	.	.	PUNCT
cana-3966	35	1	by	by	ADP
cana-3966	35	2	integrating	integrate	VERB
cana-3966	35	3	predictive	predictive	ADJ
cana-3966	35	4	analytics	analytic	NOUN
cana-3966	35	5	with	with	ADP
cana-3966	35	6	advanced	advanced	ADJ
cana-3966	35	7	risk	risk	NOUN
cana-3966	35	8	stratification	stratification	NOUN
cana-3966	35	9	techniques	technique	NOUN
cana-3966	35	10	,	,	PUNCT
cana-3966	35	11	this	this	DET
cana-3966	35	12	study	study	NOUN
cana-3966	35	13	aims	aim	VERB
cana-3966	35	14	to	to	PART
cana-3966	35	15	contribute	contribute	VERB
cana-3966	35	16	to	to	ADP
cana-3966	35	17	more	more	ADV
cana-3966	35	18	effective	effective	ADJ
cana-3966	35	19	and	and	CCONJ
cana-3966	35	20	personalized	personalize	VERB
cana-3966	35	21	hf	hf	PROPN
cana-3966	35	22	management	management	NOUN
cana-3966	35	23	.	.	PUNCT
cana-3966	36	1	the	the	DET
cana-3966	36	2	proposed	propose	VERB
cana-3966	36	3	model	model	NOUN
cana-3966	36	4	will	will	AUX
cana-3966	36	5	support	support	VERB
cana-3966	36	6	earlier	early	ADJ
cana-3966	36	7	intervention	intervention	NOUN
cana-3966	36	8	,	,	PUNCT
cana-3966	36	9	allowing	allow	VERB
cana-3966	36	10	healthcare	healthcare	NOUN
cana-3966	36	11	providers	provider	NOUN
cana-3966	36	12	to	to	PART
cana-3966	36	13	implement	implement	VERB
cana-3966	36	14	preventive	preventive	ADJ
cana-3966	36	15	measures	measure	NOUN
cana-3966	36	16	before	before	ADP
cana-3966	36	17	the	the	DET
cana-3966	36	18	onset	onset	NOUN
cana-3966	36	19	of	of	ADP
cana-3966	36	20	severe	severe	ADJ
cana-3966	36	21	symptoms	symptom	NOUN
cana-3966	36	22	,	,	PUNCT
cana-3966	36	23	ultimately	ultimately	ADV
cana-3966	36	24	improving	improve	VERB
cana-3966	36	25	patient	patient	ADJ
cana-3966	36	26	outcomes	outcome	NOUN
cana-3966	36	27	and	and	CCONJ
cana-3966	36	28	optimizing	optimize	VERB
cana-3966	36	29	resource	resource	NOUN
cana-3966	36	30	allocation	allocation	NOUN
cana-3966	36	31	within	within	ADP
cana-3966	36	32	healthcare	healthcare	NOUN
cana-3966	36	33	systems	system	NOUN
cana-3966	36	34	.	.	PUNCT
cana-3966	37	1	this	this	DET
cana-3966	37	2	research	research	NOUN
cana-3966	37	3	has	have	VERB
cana-3966	37	4	the	the	DET
cana-3966	37	5	potential	potential	NOUN
cana-3966	37	6	to	to	PART
cana-3966	37	7	significantly	significantly	ADV
cana-3966	37	8	advance	advance	VERB
cana-3966	37	9	the	the	DET
cana-3966	37	10	field	field	NOUN
cana-3966	37	11	of	of	ADP
cana-3966	37	12	hf	hf	NOUN
cana-3966	37	13	prediction	prediction	NOUN
cana-3966	37	14	by	by	ADP
cana-3966	37	15	providing	provide	VERB
cana-3966	37	16	a	a	DET
cana-3966	37	17	comprehensive	comprehensive	ADJ
cana-3966	37	18	,	,	PUNCT
cana-3966	37	19	data	data	NOUN
cana-3966	37	20	-	-	PUNCT
cana-3966	37	21	driven	drive	VERB
cana-3966	37	22	framework	framework	NOUN
cana-3966	37	23	that	that	PRON
cana-3966	37	24	enhances	enhance	VERB
cana-3966	37	25	predictive	predictive	ADJ
cana-3966	37	26	accuracy	accuracy	NOUN
cana-3966	37	27	,	,	PUNCT
cana-3966	37	28	facilitates	facilitate	VERB
cana-3966	37	29	early	early	ADJ
cana-3966	37	30	diagnosis	diagnosis	NOUN
cana-3966	37	31	,	,	PUNCT
cana-3966	37	32	and	and	CCONJ
cana-3966	37	33	enables	enable	VERB
cana-3966	37	34	personalized	personalized	ADJ
cana-3966	37	35	care	care	NOUN
cana-3966	37	36	.	.	PUNCT
cana-3966	38	1	2	2	X
cana-3966	38	2	.	.	X
cana-3966	38	3	method	method	PROPN
cana-3966	38	4	research	research	NOUN
cana-3966	38	5	in	in	ADP
cana-3966	38	6	hf	hf	PROPN
cana-3966	38	7	prediction	prediction	NOUN
cana-3966	38	8	has	have	AUX
cana-3966	38	9	evolved	evolve	VERB
cana-3966	38	10	significantly	significantly	ADV
cana-3966	38	11	,	,	PUNCT
cana-3966	38	12	leveraging	leverage	VERB
cana-3966	38	13	various	various	ADJ
cana-3966	38	14	methodologies	methodology	NOUN
cana-3966	38	15	and	and	CCONJ
cana-3966	38	16	technologies	technology	NOUN
cana-3966	38	17	to	to	PART
cana-3966	38	18	enhance	enhance	VERB
cana-3966	38	19	early	early	ADJ
cana-3966	38	20	detection	detection	NOUN
cana-3966	38	21	and	and	CCONJ
cana-3966	38	22	management	management	NOUN
cana-3966	38	23	.	.	PUNCT
cana-3966	39	1	this	this	DET
cana-3966	39	2	section	section	NOUN
cana-3966	39	3	reviews	review	VERB
cana-3966	39	4	key	key	ADJ
cana-3966	39	5	studies	study	NOUN
cana-3966	39	6	and	and	CCONJ
cana-3966	39	7	methodologies	methodology	NOUN
cana-3966	39	8	related	relate	VERB
cana-3966	39	9	to	to	ADP
cana-3966	39	10	predictive	predictive	ADJ
cana-3966	39	11	analytics	analytic	NOUN
cana-3966	39	12	and	and	CCONJ
cana-3966	39	13	risk	risk	NOUN
cana-3966	39	14	stratification	stratification	NOUN
cana-3966	39	15	in	in	ADP
cana-3966	39	16	hf	hf	PROPN
cana-3966	39	17	.	.	PUNCT
cana-3966	40	1	communications	communication	NOUN
cana-3966	40	2	on	on	ADP
cana-3966	40	3	applied	apply	VERB
cana-3966	40	4	nonlinear	nonlinear	ADJ
cana-3966	40	5	analysis	analysis	NOUN
cana-3966	40	6	issn	issn	NOUN
cana-3966	40	7	:	:	PUNCT
cana-3966	40	8	1074	1074	NUM
cana-3966	40	9	-	-	PUNCT
cana-3966	40	10	133x	133x	NUM
cana-3966	40	11	vol	vol	NOUN
cana-3966	40	12	32	32	NUM
cana-3966	40	13	no	no	NOUN
cana-3966	40	14	.	.	PUNCT
cana-3966	41	1	9s	9s	NUM
cana-3966	41	2	(	(	PUNCT
cana-3966	41	3	2025	2025	NUM
cana-3966	41	4	)	)	PUNCT
cana-3966	41	5	591	591	NUM
cana-3966	41	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	41	7	2.1	2.1	NUM
cana-3966	41	8	.	.	PUNCT
cana-3966	42	1	traditional	traditional	ADJ
cana-3966	42	2	predictive	predictive	ADJ
cana-3966	42	3	models	model	NOUN
cana-3966	42	4	early	early	ADV
cana-3966	42	5	hf	hf	ADP
cana-3966	42	6	prediction	prediction	NOUN
cana-3966	42	7	methods	method	NOUN
cana-3966	42	8	primarily	primarily	ADV
cana-3966	42	9	relied	rely	VERB
cana-3966	42	10	on	on	ADP
cana-3966	42	11	statistical	statistical	ADJ
cana-3966	42	12	models	model	NOUN
cana-3966	42	13	and	and	CCONJ
cana-3966	42	14	risk	risk	NOUN
cana-3966	42	15	scoring	scoring	NOUN
cana-3966	42	16	systems	system	NOUN
cana-3966	42	17	[	[	X
cana-3966	42	18	7	7	NUM
cana-3966	42	19	]	]	PUNCT
cana-3966	42	20	,	,	PUNCT
cana-3966	42	21	[	[	X
cana-3966	42	22	8	8	NUM
cana-3966	42	23	]	]	PUNCT
cana-3966	42	24	.	.	PUNCT
cana-3966	43	1	widely	widely	ADV
cana-3966	43	2	used	use	VERB
cana-3966	43	3	models	model	NOUN
cana-3966	43	4	,	,	PUNCT
cana-3966	43	5	such	such	ADJ
cana-3966	43	6	as	as	ADP
cana-3966	43	7	the	the	DET
cana-3966	43	8	framingham	framingham	PROPN
cana-3966	43	9	risk	risk	NOUN
cana-3966	43	10	score	score	NOUN
cana-3966	44	1	[	[	X
cana-3966	44	2	9	9	NUM
cana-3966	44	3	]	]	PUNCT
cana-3966	44	4	and	and	CCONJ
cana-3966	44	5	the	the	DET
cana-3966	44	6	chicago	chicago	PROPN
cana-3966	44	7	heart	heart	PROPN
cana-3966	44	8	association	association	PROPN
cana-3966	44	9	(	(	PUNCT
cana-3966	44	10	cha	cha	NOUN
cana-3966	44	11	)	)	PUNCT
cana-3966	44	12	risk	risk	NOUN
cana-3966	44	13	score	score	NOUN
cana-3966	45	1	[	[	X
cana-3966	45	2	10	10	NUM
cana-3966	45	3	]	]	PUNCT
cana-3966	45	4	,	,	PUNCT
cana-3966	45	5	estimate	estimate	VERB
cana-3966	45	6	hf	hf	ADJ
cana-3966	45	7	likelihood	likelihood	NOUN
cana-3966	45	8	based	base	VERB
cana-3966	45	9	on	on	ADP
cana-3966	45	10	traditional	traditional	ADJ
cana-3966	45	11	risk	risk	NOUN
cana-3966	45	12	factors	factor	NOUN
cana-3966	45	13	like	like	ADP
cana-3966	45	14	age	age	NOUN
cana-3966	45	15	,	,	PUNCT
cana-3966	45	16	hypertension	hypertension	NOUN
cana-3966	45	17	,	,	PUNCT
cana-3966	45	18	and	and	CCONJ
cana-3966	45	19	diabetes	diabetes	NOUN
cana-3966	45	20	.	.	PUNCT
cana-3966	46	1	however	however	ADV
cana-3966	46	2	,	,	PUNCT
cana-3966	46	3	these	these	DET
cana-3966	46	4	models	model	NOUN
cana-3966	46	5	often	often	ADV
cana-3966	46	6	lack	lack	VERB
cana-3966	46	7	the	the	DET
cana-3966	46	8	precision	precision	NOUN
cana-3966	46	9	needed	need	VERB
cana-3966	46	10	for	for	ADP
cana-3966	46	11	early	early	ADJ
cana-3966	46	12	detection	detection	NOUN
cana-3966	46	13	and	and	CCONJ
cana-3966	46	14	personalized	personalized	ADJ
cana-3966	46	15	risk	risk	NOUN
cana-3966	46	16	assessment	assessment	NOUN
cana-3966	46	17	.	.	PUNCT
cana-3966	47	1	2.2	2.2	NUM
cana-3966	47	2	.	.	PUNCT
cana-3966	47	3	machine	machine	NOUN
cana-3966	47	4	learning	learning	NOUN
cana-3966	47	5	(	(	PUNCT
cana-3966	47	6	ml	ml	NOUN
cana-3966	47	7	)	)	PUNCT
cana-3966	47	8	in	in	ADP
cana-3966	47	9	hf	hf	PROPN
cana-3966	47	10	prediction	prediction	NOUN
cana-3966	47	11	recent	recent	ADJ
cana-3966	47	12	advancements	advancement	NOUN
cana-3966	47	13	in	in	ADP
cana-3966	47	14	ml	ml	NOUN
cana-3966	47	15	have	have	AUX
cana-3966	47	16	improved	improve	VERB
cana-3966	47	17	hf	hf	PROPN
cana-3966	47	18	prediction	prediction	NOUN
cana-3966	47	19	accuracy	accuracy	NOUN
cana-3966	47	20	.	.	PUNCT
cana-3966	48	1	various	various	ADJ
cana-3966	48	2	models	model	NOUN
cana-3966	48	3	,	,	PUNCT
cana-3966	48	4	such	such	ADJ
cana-3966	48	5	as	as	ADP
cana-3966	48	6	decision	decision	NOUN
cana-3966	48	7	trees	tree	NOUN
cana-3966	48	8	(	(	PUNCT
cana-3966	48	9	dts	dts	NOUN
cana-3966	48	10	)	)	PUNCT
cana-3966	48	11	,	,	PUNCT
cana-3966	48	12	support	support	VERB
cana-3966	48	13	vector	vector	NOUN
cana-3966	48	14	machines	machine	NOUN
cana-3966	48	15	(	(	PUNCT
cana-3966	48	16	svms	svms	NOUN
cana-3966	48	17	)	)	PUNCT
cana-3966	48	18	,	,	PUNCT
cana-3966	48	19	and	and	CCONJ
cana-3966	48	20	xgboost	xgboost	PROPN
cana-3966	48	21	classifiers	classifier	NOUN
cana-3966	48	22	(	(	PUNCT
cana-3966	48	23	xgbc	xgbc	PROPN
cana-3966	48	24	)	)	PUNCT
cana-3966	48	25	,	,	PUNCT
cana-3966	48	26	analyse	analyse	VERB
cana-3966	48	27	large	large	ADJ
cana-3966	48	28	datasets	dataset	NOUN
cana-3966	48	29	to	to	PART
cana-3966	48	30	identify	identify	VERB
cana-3966	48	31	complex	complex	ADJ
cana-3966	48	32	patterns	pattern	NOUN
cana-3966	48	33	associated	associate	VERB
cana-3966	48	34	with	with	ADP
cana-3966	48	35	hf	hf	PROPN
cana-3966	48	36	[	[	X
cana-3966	48	37	11	11	NUM
cana-3966	48	38	]	]	PUNCT
cana-3966	48	39	,	,	PUNCT
cana-3966	49	1	[	[	X
cana-3966	49	2	12	12	NUM
cana-3966	49	3	]	]	PUNCT
cana-3966	49	4	.	.	PUNCT
cana-3966	50	1	for	for	ADP
cana-3966	50	2	example	example	NOUN
cana-3966	50	3	,	,	PUNCT
cana-3966	50	4	ganie	ganie	PROPN
cana-3966	50	5	et	et	PROPN
cana-3966	50	6	al	al	PROPN
cana-3966	50	7	.	.	PUNCT
cana-3966	51	1	[	[	X
cana-3966	51	2	13	13	NUM
cana-3966	51	3	]	]	PUNCT
cana-3966	51	4	showed	show	VERB
cana-3966	51	5	that	that	SCONJ
cana-3966	51	6	ensemble	ensemble	ADJ
cana-3966	51	7	methods	method	NOUN
cana-3966	51	8	and	and	CCONJ
cana-3966	51	9	gradient	gradient	NOUN
cana-3966	51	10	boosting	boost	VERB
cana-3966	51	11	significantly	significantly	ADV
cana-3966	51	12	enhance	enhance	VERB
cana-3966	51	13	prediction	prediction	NOUN
cana-3966	51	14	performance	performance	NOUN
cana-3966	51	15	over	over	ADP
cana-3966	51	16	traditional	traditional	ADJ
cana-3966	51	17	models	model	NOUN
cana-3966	51	18	.	.	PUNCT
cana-3966	52	1	2.3	2.3	NUM
cana-3966	52	2	.	.	PUNCT
cana-3966	53	1	deep	deep	ADJ
cana-3966	53	2	learning	learning	NOUN
cana-3966	53	3	(	(	PUNCT
cana-3966	53	4	dl	dl	NOUN
cana-3966	53	5	)	)	PUNCT
cana-3966	53	6	in	in	ADP
cana-3966	53	7	hf	hf	PROPN
cana-3966	53	8	prediction	prediction	NOUN
cana-3966	53	9	dl	dl	PROPN
cana-3966	53	10	models	model	NOUN
cana-3966	53	11	,	,	PUNCT
cana-3966	53	12	including	include	VERB
cana-3966	53	13	convolutional	convolutional	ADJ
cana-3966	53	14	neural	neural	ADJ
cana-3966	53	15	networks	network	NOUN
cana-3966	53	16	(	(	PUNCT
cana-3966	53	17	cnns	cnns	PROPN
cana-3966	53	18	)	)	PUNCT
cana-3966	53	19	and	and	CCONJ
cana-3966	53	20	recurrent	recurrent	ADJ
cana-3966	53	21	neural	neural	ADJ
cana-3966	53	22	networks	network	NOUN
cana-3966	53	23	(	(	PUNCT
cana-3966	53	24	rnns	rnns	PROPN
cana-3966	53	25	)	)	PUNCT
cana-3966	53	26	,	,	PUNCT
cana-3966	53	27	have	have	AUX
cana-3966	53	28	advanced	advance	VERB
cana-3966	53	29	hf	hf	PROPN
cana-3966	53	30	prediction	prediction	NOUN
cana-3966	53	31	further	far	ADV
cana-3966	53	32	[	[	X
cana-3966	53	33	14	14	NUM
cana-3966	53	34	]	]	PUNCT
cana-3966	53	35	,	,	PUNCT
cana-3966	53	36	[	[	X
cana-3966	53	37	15	15	NUM
cana-3966	53	38	]	]	PUNCT
cana-3966	53	39	,	,	PUNCT
cana-3966	53	40	[	[	X
cana-3966	53	41	16	16	NUM
cana-3966	53	42	]	]	PUNCT
cana-3966	53	43	.	.	PUNCT
cana-3966	54	1	guo	guo	PROPN
cana-3966	54	2	et	et	PROPN
cana-3966	54	3	al	al	PROPN
cana-3966	54	4	.	.	PUNCT
cana-3966	55	1	[	[	X
cana-3966	55	2	17	17	NUM
cana-3966	55	3	]	]	PUNCT
cana-3966	55	4	demonstrated	demonstrate	VERB
cana-3966	55	5	that	that	SCONJ
cana-3966	55	6	deep	deep	ADJ
cana-3966	55	7	neural	neural	ADJ
cana-3966	55	8	networks	network	NOUN
cana-3966	55	9	analysing	analyse	VERB
cana-3966	55	10	electronic	electronic	ADJ
cana-3966	55	11	health	health	NOUN
cana-3966	55	12	records	record	NOUN
cana-3966	55	13	(	(	PUNCT
cana-3966	55	14	ehrs	ehrs	INTJ
cana-3966	55	15	)	)	PUNCT
cana-3966	55	16	improve	improve	VERB
cana-3966	55	17	hf	hf	ADP
cana-3966	55	18	onset	onset	NOUN
cana-3966	55	19	prediction	prediction	NOUN
cana-3966	55	20	accuracy	accuracy	NOUN
cana-3966	55	21	by	by	ADP
cana-3966	55	22	capturing	capture	VERB
cana-3966	55	23	complex	complex	ADJ
cana-3966	55	24	relationships	relationship	NOUN
cana-3966	55	25	within	within	ADP
cana-3966	55	26	extensive	extensive	ADJ
cana-3966	55	27	datasets	dataset	NOUN
cana-3966	55	28	.	.	PUNCT
cana-3966	56	1	2.4	2.4	NUM
cana-3966	56	2	.	.	PUNCT
cana-3966	56	3	risk	risk	NOUN
cana-3966	56	4	stratification	stratification	NOUN
cana-3966	56	5	and	and	CCONJ
cana-3966	56	6	personalization	personalization	NOUN
cana-3966	56	7	risk	risk	NOUN
cana-3966	56	8	stratification	stratification	NOUN
cana-3966	56	9	models	model	NOUN
cana-3966	56	10	aim	aim	VERB
cana-3966	56	11	to	to	PART
cana-3966	56	12	categorize	categorize	VERB
cana-3966	56	13	patients	patient	NOUN
cana-3966	56	14	based	base	VERB
cana-3966	56	15	on	on	ADP
cana-3966	56	16	their	their	PRON
cana-3966	56	17	likelihood	likelihood	NOUN
cana-3966	56	18	of	of	ADP
cana-3966	56	19	risk	risk	NOUN
cana-3966	56	20	.	.	PUNCT
cana-3966	57	1	these	these	DET
cana-3966	57	2	models	model	NOUN
cana-3966	57	3	categorize	categorize	VERB
cana-3966	57	4	patients	patient	NOUN
cana-3966	57	5	based	base	VERB
cana-3966	57	6	on	on	ADP
cana-3966	57	7	hf	hf	PROPN
cana-3966	57	8	risk	risk	NOUN
cana-3966	57	9	to	to	PART
cana-3966	57	10	enable	enable	VERB
cana-3966	57	11	targeted	targeted	ADJ
cana-3966	57	12	interventions	intervention	NOUN
cana-3966	57	13	.	.	PUNCT
cana-3966	58	1	sophisticated	sophisticated	ADJ
cana-3966	58	2	algorithms	algorithm	NOUN
cana-3966	58	3	,	,	PUNCT
cana-3966	58	4	such	such	ADJ
cana-3966	58	5	as	as	ADP
cana-3966	58	6	clustering	cluster	VERB
cana-3966	58	7	and	and	CCONJ
cana-3966	58	8	bayesian	bayesian	NOUN
cana-3966	58	9	networks	network	NOUN
cana-3966	58	10	[	[	X
cana-3966	58	11	18	18	NUM
cana-3966	58	12	]	]	PUNCT
cana-3966	58	13	,	,	PUNCT
cana-3966	58	14	have	have	AUX
cana-3966	58	15	refined	refine	VERB
cana-3966	58	16	this	this	DET
cana-3966	58	17	process	process	NOUN
cana-3966	58	18	.	.	PUNCT
cana-3966	59	1	strianese	strianese	PROPN
cana-3966	59	2	et	et	PROPN
cana-3966	59	3	al	al	PROPN
cana-3966	59	4	.	.	PUNCT
cana-3966	60	1	[	[	X
cana-3966	60	2	19	19	NUM
cana-3966	60	3	]	]	PUNCT
cana-3966	60	4	showed	show	VERB
cana-3966	60	5	that	that	SCONJ
cana-3966	60	6	integrating	integrate	VERB
cana-3966	60	7	clinical	clinical	ADJ
cana-3966	60	8	data	datum	NOUN
cana-3966	60	9	with	with	ADP
cana-3966	60	10	genetic	genetic	ADJ
cana-3966	60	11	information	information	NOUN
cana-3966	60	12	enhances	enhance	VERB
cana-3966	60	13	risk	risk	NOUN
cana-3966	60	14	stratification	stratification	NOUN
cana-3966	60	15	and	and	CCONJ
cana-3966	60	16	personalized	personalized	ADJ
cana-3966	60	17	treatment	treatment	NOUN
cana-3966	60	18	.	.	PUNCT
cana-3966	61	1	2.5	2.5	NUM
cana-3966	61	2	.	.	PUNCT
cana-3966	62	1	integration	integration	NOUN
cana-3966	62	2	of	of	ADP
cana-3966	62	3	predictive	predictive	ADJ
cana-3966	62	4	analytics	analytic	NOUN
cana-3966	62	5	and	and	CCONJ
cana-3966	62	6	clinical	clinical	ADJ
cana-3966	62	7	practice	practice	NOUN
cana-3966	62	8	despite	despite	SCONJ
cana-3966	62	9	advancements	advancement	NOUN
cana-3966	62	10	,	,	PUNCT
cana-3966	62	11	there	there	PRON
cana-3966	62	12	is	be	VERB
cana-3966	62	13	a	a	DET
cana-3966	62	14	gap	gap	NOUN
cana-3966	62	15	in	in	ADP
cana-3966	62	16	integrating	integrate	VERB
cana-3966	62	17	predictive	predictive	ADJ
cana-3966	62	18	models	model	NOUN
cana-3966	62	19	into	into	ADP
cana-3966	62	20	clinical	clinical	ADJ
cana-3966	62	21	despite	despite	SCONJ
cana-3966	62	22	advancements	advancement	NOUN
cana-3966	62	23	,	,	PUNCT
cana-3966	62	24	integrating	integrate	VERB
cana-3966	62	25	predictive	predictive	ADJ
cana-3966	62	26	models	model	NOUN
cana-3966	62	27	into	into	ADP
cana-3966	62	28	clinical	clinical	ADJ
cana-3966	62	29	practice	practice	NOUN
cana-3966	62	30	remains	remain	VERB
cana-3966	62	31	challenging	challenge	VERB
cana-3966	62	32	.	.	PUNCT
cana-3966	63	1	azizi	azizi	PROPN
cana-3966	63	2	et	et	PROPN
cana-3966	63	3	al	al	PROPN
cana-3966	63	4	.	.	PUNCT
cana-3966	64	1	[	[	X
cana-3966	64	2	20	20	NUM
cana-3966	64	3	]	]	PUNCT
cana-3966	64	4	noted	note	VERB
cana-3966	64	5	difficulties	difficulty	NOUN
cana-3966	64	6	in	in	ADP
cana-3966	64	7	translating	translate	VERB
cana-3966	64	8	predictive	predictive	ADJ
cana-3966	64	9	analytics	analytic	NOUN
cana-3966	64	10	into	into	ADP
cana-3966	64	11	actionable	actionable	ADJ
cana-3966	64	12	clinical	clinical	ADJ
cana-3966	64	13	tools	tool	NOUN
cana-3966	64	14	,	,	PUNCT
cana-3966	64	15	highlighting	highlight	VERB
cana-3966	64	16	the	the	DET
cana-3966	64	17	need	need	NOUN
cana-3966	64	18	for	for	ADP
cana-3966	64	19	models	model	NOUN
cana-3966	64	20	that	that	PRON
cana-3966	64	21	are	be	AUX
cana-3966	64	22	both	both	ADV
cana-3966	64	23	accurate	accurate	ADJ
cana-3966	64	24	and	and	CCONJ
cana-3966	64	25	practical	practical	ADJ
cana-3966	64	26	for	for	ADP
cana-3966	64	27	real	real	ADJ
cana-3966	64	28	-	-	PUNCT
cana-3966	64	29	world	world	NOUN
cana-3966	64	30	use	use	NOUN
cana-3966	64	31	.	.	PUNCT
cana-3966	65	1	2.6	2.6	NUM
cana-3966	65	2	.	.	PUNCT
cana-3966	66	1	comprehensive	comprehensive	ADJ
cana-3966	66	2	approaches	approach	NOUN
cana-3966	66	3	and	and	CCONJ
cana-3966	66	4	novel	novel	ADJ
cana-3966	66	5	frameworks	framework	NOUN
cana-3966	66	6	recent	recent	ADJ
cana-3966	66	7	studies	study	NOUN
cana-3966	66	8	advocate	advocate	VERB
cana-3966	66	9	for	for	ADP
cana-3966	66	10	frameworks	framework	NOUN
cana-3966	66	11	that	that	PRON
cana-3966	66	12	combine	combine	VERB
cana-3966	66	13	predictive	predictive	ADJ
cana-3966	66	14	analytics	analytic	NOUN
cana-3966	66	15	with	with	ADP
cana-3966	66	16	risk	risk	NOUN
cana-3966	66	17	stratification	stratification	NOUN
cana-3966	66	18	for	for	ADP
cana-3966	66	19	comprehensive	comprehensive	ADJ
cana-3966	66	20	hf	hf	PROPN
cana-3966	66	21	management	management	NOUN
cana-3966	66	22	[	[	X
cana-3966	66	23	21	21	NUM
cana-3966	66	24	]	]	PUNCT
cana-3966	66	25	,	,	PUNCT
cana-3966	66	26	[	[	X
cana-3966	66	27	22	22	NUM
cana-3966	66	28	]	]	PUNCT
cana-3966	66	29	.	.	PUNCT
cana-3966	67	1	adewole	adewole	NOUN
cana-3966	67	2	et	et	PROPN
cana-3966	67	3	al	al	PROPN
cana-3966	67	4	.	.	PUNCT
cana-3966	68	1	[	[	X
cana-3966	68	2	23	23	NUM
cana-3966	68	3	]	]	PUNCT
cana-3966	68	4	proposed	propose	VERB
cana-3966	68	5	a	a	DET
cana-3966	68	6	model	model	NOUN
cana-3966	68	7	that	that	PRON
cana-3966	68	8	integrates	integrate	VERB
cana-3966	68	9	predictive	predictive	ADJ
cana-3966	68	10	analytics	analytic	NOUN
cana-3966	68	11	with	with	ADP
cana-3966	68	12	real	real	ADJ
cana-3966	68	13	-	-	PUNCT
cana-3966	68	14	time	time	NOUN
cana-3966	68	15	monitoring	monitoring	NOUN
cana-3966	68	16	to	to	PART
cana-3966	68	17	enhance	enhance	VERB
cana-3966	68	18	early	early	ADJ
cana-3966	68	19	detection	detection	NOUN
cana-3966	68	20	and	and	CCONJ
cana-3966	68	21	personalized	personalized	ADJ
cana-3966	68	22	risk	risk	NOUN
cana-3966	68	23	assessment	assessment	NOUN
cana-3966	68	24	.	.	PUNCT
cana-3966	69	1	this	this	DET
cana-3966	69	2	research	research	NOUN
cana-3966	69	3	advances	advance	VERB
cana-3966	69	4	these	these	DET
cana-3966	69	5	methods	method	NOUN
cana-3966	69	6	by	by	ADP
cana-3966	69	7	introducing	introduce	VERB
cana-3966	69	8	a	a	DET
cana-3966	69	9	novel	novel	ADJ
cana-3966	69	10	approach	approach	NOUN
cana-3966	69	11	that	that	PRON
cana-3966	69	12	merges	merge	VERB
cana-3966	69	13	advanced	advanced	ADJ
cana-3966	69	14	machine	machine	NOUN
cana-3966	69	15	learning	learn	VERB
cana-3966	69	16	with	with	ADP
cana-3966	69	17	risk	risk	NOUN
cana-3966	69	18	stratification	stratification	NOUN
cana-3966	69	19	to	to	PART
cana-3966	69	20	boost	boost	VERB
cana-3966	69	21	hf	hf	NOUN
cana-3966	69	22	prediction	prediction	NOUN
cana-3966	69	23	accuracy	accuracy	NOUN
cana-3966	69	24	and	and	CCONJ
cana-3966	69	25	clinical	clinical	ADJ
cana-3966	69	26	relevance	relevance	NOUN
cana-3966	69	27	.	.	PUNCT
cana-3966	70	1	3	3	X
cana-3966	70	2	.	.	X
cana-3966	70	3	materials	material	NOUN
cana-3966	70	4	and	and	CCONJ
cana-3966	70	5	methods	method	NOUN
cana-3966	70	6	3.1	3.1	NUM
cana-3966	70	7	.	.	PUNCT
cana-3966	70	8	model	model	NOUN
cana-3966	70	9	architecture	architecture	NOUN
cana-3966	70	10	the	the	DET
cana-3966	70	11	proposed	propose	VERB
cana-3966	70	12	model	model	NOUN
cana-3966	70	13	architecture	architecture	NOUN
cana-3966	70	14	integrates	integrate	VERB
cana-3966	70	15	predictive	predictive	ADJ
cana-3966	70	16	analytics	analytic	NOUN
cana-3966	70	17	with	with	ADP
cana-3966	70	18	risk	risk	NOUN
cana-3966	70	19	stratification	stratification	NOUN
cana-3966	70	20	to	to	PART
cana-3966	70	21	enhance	enhance	VERB
cana-3966	70	22	hf	hf	ADP
cana-3966	70	23	prediction	prediction	NOUN
cana-3966	70	24	described	describe	VERB
cana-3966	70	25	in	in	ADP
cana-3966	70	26	figure	figure	NOUN
cana-3966	70	27	1	1	NUM
cana-3966	70	28	.	.	PUNCT
cana-3966	71	1	this	this	DET
cana-3966	71	2	architecture	architecture	NOUN
cana-3966	71	3	consists	consist	VERB
cana-3966	71	4	of	of	ADP
cana-3966	71	5	the	the	DET
cana-3966	71	6	following	follow	VERB
cana-3966	71	7	key	key	ADJ
cana-3966	71	8	components	component	NOUN
cana-3966	71	9	:	:	PUNCT
cana-3966	71	10	communications	communication	NOUN
cana-3966	71	11	on	on	ADP
cana-3966	71	12	applied	apply	VERB
cana-3966	71	13	nonlinear	nonlinear	ADJ
cana-3966	71	14	analysis	analysis	NOUN
cana-3966	71	15	issn	issn	NOUN
cana-3966	71	16	:	:	PUNCT
cana-3966	71	17	1074	1074	NUM
cana-3966	71	18	-	-	PUNCT
cana-3966	71	19	133x	133x	NUM
cana-3966	71	20	vol	vol	NOUN
cana-3966	71	21	32	32	NUM
cana-3966	71	22	no	no	NOUN
cana-3966	71	23	.	.	PUNCT
cana-3966	72	1	9s	9s	NUM
cana-3966	72	2	(	(	PUNCT
cana-3966	72	3	2025	2025	NUM
cana-3966	72	4	)	)	PUNCT
cana-3966	72	5	592	592	NUM
cana-3966	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	72	7	3.1.1	3.1.1	NUM
cana-3966	72	8	.	.	PUNCT
cana-3966	73	1	data	datum	NOUN
cana-3966	73	2	input	input	NOUN
cana-3966	73	3	layer	layer	NOUN
cana-3966	73	4	the	the	DET
cana-3966	73	5	model	model	NOUN
cana-3966	73	6	begins	begin	VERB
cana-3966	73	7	with	with	ADP
cana-3966	73	8	an	an	DET
cana-3966	73	9	input	input	NOUN
cana-3966	73	10	layer	layer	NOUN
cana-3966	73	11	that	that	PRON
cana-3966	73	12	accepts	accept	VERB
cana-3966	73	13	diverse	diverse	ADJ
cana-3966	73	14	data	datum	NOUN
cana-3966	73	15	sources	source	NOUN
cana-3966	73	16	,	,	PUNCT
cana-3966	73	17	including	include	VERB
cana-3966	73	18	ehrs	ehrs	PROPN
cana-3966	73	19	,	,	PUNCT
cana-3966	73	20	clinical	clinical	ADJ
cana-3966	73	21	metrics	metric	NOUN
cana-3966	73	22	,	,	PUNCT
cana-3966	73	23	and	and	CCONJ
cana-3966	73	24	patient	patient	ADJ
cana-3966	73	25	demographics	demographic	NOUN
cana-3966	73	26	.	.	PUNCT
cana-3966	74	1	let	let	VERB
cana-3966	74	2	x	x	PRON
cana-3966	74	3	represent	represent	VERB
cana-3966	74	4	the	the	DET
cana-3966	74	5	input	input	NOUN
cana-3966	74	6	feature	feature	NOUN
cana-3966	74	7	matrix	matrix	NOUN
cana-3966	74	8	with	with	ADP
cana-3966	74	9	n	n	ADP
cana-3966	74	10	samples	sample	NOUN
cana-3966	74	11	,	,	PUNCT
cana-3966	74	12	where	where	SCONJ
cana-3966	74	13	each	each	DET
cana-3966	74	14	sample	sample	NOUN
cana-3966	74	15	xi	xi	INTJ
cana-3966	74	16	rm	rm	PROPN
cana-3966	74	17	includes	include	VERB
cana-3966	74	18	features	feature	NOUN
cana-3966	74	19	such	such	ADJ
cana-3966	74	20	as	as	ADP
cana-3966	74	21	age	age	NOUN
cana-3966	74	22	,	,	PUNCT
cana-3966	74	23	blood	blood	NOUN
cana-3966	74	24	pressure	pressure	NOUN
cana-3966	74	25	,	,	PUNCT
cana-3966	74	26	and	and	CCONJ
cana-3966	74	27	lab	lab	NOUN
cana-3966	74	28	results	result	NOUN
cana-3966	74	29	.	.	PUNCT
cana-3966	75	1	figure	figure	VERB
cana-3966	75	2	1	1	NUM
cana-3966	75	3	.	.	PUNCT
cana-3966	75	4	model	model	NOUN
cana-3966	75	5	architecture	architecture	NOUN
cana-3966	75	6	of	of	ADP
cana-3966	75	7	the	the	DET
cana-3966	75	8	proposed	propose	VERB
cana-3966	75	9	model	model	NOUN
cana-3966	75	10	3.1.2	3.1.2	PROPN
cana-3966	75	11	.	.	PUNCT
cana-3966	76	1	feature	feature	NOUN
cana-3966	76	2	embedding	embed	VERB
cana-3966	76	3	to	to	PART
cana-3966	76	4	handle	handle	VERB
cana-3966	76	5	the	the	DET
cana-3966	76	6	heterogeneous	heterogeneous	ADJ
cana-3966	76	7	nature	nature	NOUN
cana-3966	76	8	of	of	ADP
cana-3966	76	9	the	the	DET
cana-3966	76	10	input	input	NOUN
cana-3966	76	11	features	feature	NOUN
cana-3966	76	12	,	,	PUNCT
cana-3966	76	13	an	an	DET
cana-3966	76	14	embedding	embed	VERB
cana-3966	76	15	layer	layer	NOUN
cana-3966	76	16	transforms	transform	VERB
cana-3966	76	17	categorical	categorical	ADJ
cana-3966	76	18	features	feature	NOUN
cana-3966	76	19	into	into	ADP
cana-3966	76	20	continuous	continuous	ADJ
cana-3966	76	21	vectors	vector	NOUN
cana-3966	76	22	.	.	PUNCT
cana-3966	77	1	this	this	DET
cana-3966	77	2	process	process	NOUN
cana-3966	77	3	captures	capture	VERB
cana-3966	77	4	the	the	DET
cana-3966	77	5	underlying	underlie	VERB
cana-3966	77	6	relationships	relationship	NOUN
cana-3966	77	7	and	and	CCONJ
cana-3966	77	8	interactions	interaction	NOUN
cana-3966	77	9	between	between	ADP
cana-3966	77	10	different	different	ADJ
cana-3966	77	11	features	feature	NOUN
cana-3966	77	12	.	.	PUNCT
cana-3966	78	1	for	for	ADP
cana-3966	78	2	a	a	DET
cana-3966	78	3	categorical	categorical	ADJ
cana-3966	78	4	feature	feature	NOUN
cana-3966	78	5	xi	xi	ADP
cana-3966	78	6	c	c	NOUN
cana-3966	78	7	,	,	PUNCT
cana-3966	78	8	the	the	DET
cana-3966	78	9	embedding	embed	VERB
cana-3966	78	10	function	function	NOUN
cana-3966	78	11			NOUN
cana-3966	78	12	maps	map	VERB
cana-3966	78	13	it	it	PRON
cana-3966	78	14	to	to	ADP
cana-3966	78	15	a	a	DET
cana-3966	78	16	continuous	continuous	ADJ
cana-3966	78	17	vector	vector	NOUN
cana-3966	78	18	.	.	PUNCT
cana-3966	79	1	ei	ei	X
cana-3966	79	2	c	c	NOUN
cana-3966	79	3	=	=	SYM
cana-3966	79	4			NOUN
cana-3966	79	5	(	(	PUNCT
cana-3966	79	6	xi	xi	X
cana-3966	79	7	c	c	PROPN
cana-3966	79	8	)	)	PUNCT
cana-3966	79	9	(	(	PUNCT
cana-3966	79	10	1	1	X
cana-3966	79	11	)	)	PUNCT
cana-3966	79	12	where	where	SCONJ
cana-3966	79	13	,	,	PUNCT
cana-3966	79	14	ei	ei	PROPN
cana-3966	79	15	c	c	NOUN
cana-3966	79	16			PROPN
cana-3966	79	17			PROPN
cana-3966	79	18	rd	rd	NOUN
cana-3966	79	19	is	be	AUX
cana-3966	79	20	the	the	DET
cana-3966	79	21	embedding	embed	VERB
cana-3966	79	22	vector	vector	NOUN
cana-3966	79	23	.	.	PUNCT
cana-3966	80	1	3.1.3	3.1.3	NUM
cana-3966	80	2	.	.	PUNCT
cana-3966	80	3	feature	feature	NOUN
cana-3966	80	4	integration	integration	NOUN
cana-3966	80	5	the	the	DET
cana-3966	80	6	embedded	embed	VERB
cana-3966	80	7	features	feature	NOUN
cana-3966	80	8	are	be	AUX
cana-3966	80	9	concatenated	concatenate	VERB
cana-3966	80	10	with	with	ADP
cana-3966	80	11	continuous	continuous	ADJ
cana-3966	80	12	features	feature	NOUN
cana-3966	80	13	to	to	PART
cana-3966	80	14	form	form	VERB
cana-3966	80	15	a	a	DET
cana-3966	80	16	unified	unified	ADJ
cana-3966	80	17	feature	feature	NOUN
cana-3966	80	18	vector	vector	NOUN
cana-3966	80	19	hi	hi	INTJ
cana-3966	80	20	hi	hi	INTJ
cana-3966	80	21	=	=	NOUN
cana-3966	80	22	concat	concat	NOUN
cana-3966	80	23	(	(	PUNCT
cana-3966	80	24	xi	xi	X
cana-3966	80	25	c	c	PROPN
cana-3966	80	26	,	,	PUNCT
cana-3966	80	27	xi	xi	PROPN
cana-3966	80	28	c	c	X
cana-3966	80	29	,	,	PUNCT
cana-3966	80	30	ei	ei	NOUN
cana-3966	80	31	c	c	X
cana-3966	80	32	)	)	PUNCT
cana-3966	80	33	(	(	PUNCT
cana-3966	80	34	2	2	X
cana-3966	80	35	)	)	PUNCT
cana-3966	80	36	3.1.4	3.1.4	NUM
cana-3966	80	37	.	.	PUNCT
cana-3966	81	1	ensemble	ensemble	ADJ
cana-3966	81	2	network	network	NOUN
cana-3966	81	3	the	the	DET
cana-3966	81	4	integrated	integrate	VERB
cana-3966	81	5	feature	feature	NOUN
cana-3966	81	6	vector	vector	NOUN
cana-3966	81	7	hi	hi	INTJ
cana-3966	81	8	is	be	AUX
cana-3966	81	9	passed	pass	VERB
cana-3966	81	10	through	through	ADP
cana-3966	81	11	a	a	DET
cana-3966	81	12	series	series	NOUN
cana-3966	81	13	of	of	ADP
cana-3966	81	14	layers	layer	NOUN
cana-3966	81	15	within	within	ADP
cana-3966	81	16	the	the	DET
cana-3966	81	17	ensemble	ensemble	ADJ
cana-3966	81	18	network	network	NOUN
cana-3966	81	19	,	,	PUNCT
cana-3966	81	20	enabling	enable	VERB
cana-3966	81	21	the	the	DET
cana-3966	81	22	proposed	propose	VERB
cana-3966	81	23	model	model	NOUN
cana-3966	81	24	to	to	PART
cana-3966	81	25	learn	learn	VERB
cana-3966	81	26	complex	complex	ADJ
cana-3966	81	27	patterns	pattern	NOUN
cana-3966	81	28	and	and	CCONJ
cana-3966	81	29	interactions	interaction	NOUN
cana-3966	81	30	.	.	PUNCT
cana-3966	82	1	the	the	DET
cana-3966	82	2	architecture	architecture	NOUN
cana-3966	82	3	consists	consist	VERB
cana-3966	82	4	of	of	ADP
cana-3966	82	5	:	:	PUNCT
cana-3966	82	6	hi	hi	INTJ
cana-3966	82	7	→	→	SYM
cana-3966	82	8	layer1	layer1	X
cana-3966	82	9	→	→	SYM
cana-3966	82	10	layer2	layer2	PROPN
cana-3966	82	11	→	→	NOUN
cana-3966	82	12	…	…	PROPN
cana-3966	82	13	.→	.→	PRON
cana-3966	82	14	layern	layern	NOUN
cana-3966	82	15	(	(	PUNCT
cana-3966	82	16	3	3	NUM
cana-3966	82	17	)	)	PUNCT
cana-3966	82	18	communications	communication	NOUN
cana-3966	82	19	on	on	ADP
cana-3966	82	20	applied	apply	VERB
cana-3966	82	21	nonlinear	nonlinear	ADJ
cana-3966	82	22	analysis	analysis	NOUN
cana-3966	82	23	issn	issn	NOUN
cana-3966	82	24	:	:	PUNCT
cana-3966	82	25	1074	1074	NUM
cana-3966	82	26	-	-	PUNCT
cana-3966	82	27	133x	133x	NUM
cana-3966	82	28	vol	vol	NOUN
cana-3966	82	29	32	32	NUM
cana-3966	82	30	no	no	NOUN
cana-3966	82	31	.	.	PUNCT
cana-3966	83	1	9s	9s	NUM
cana-3966	83	2	(	(	PUNCT
cana-3966	83	3	2025	2025	NUM
cana-3966	83	4	)	)	PUNCT
cana-3966	83	5	593	593	NUM
cana-3966	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	83	7	3.1.5	3.1.5	X
cana-3966	83	8	.	.	PUNCT
cana-3966	84	1	output	output	NOUN
cana-3966	84	2	layer	layer	NOUN
cana-3966	84	3	the	the	DET
cana-3966	84	4	final	final	ADJ
cana-3966	84	5	layer	layer	NOUN
cana-3966	84	6	is	be	AUX
cana-3966	84	7	a	a	DET
cana-3966	84	8	logistic	logistic	ADJ
cana-3966	84	9	regression	regression	NOUN
cana-3966	84	10	layer	layer	NOUN
cana-3966	84	11	that	that	PRON
cana-3966	84	12	outputs	output	VERB
cana-3966	84	13	the	the	DET
cana-3966	84	14	probability	probability	NOUN
cana-3966	84	15	p(yi	p(yi	ADV
cana-3966	84	16	=	=	SYM
cana-3966	84	17	1|	1|	NUM
cana-3966	84	18	xi	xi	NOUN
cana-3966	84	19	)	)	PUNCT
cana-3966	84	20	of	of	ADP
cana-3966	84	21	hf	hf	NOUN
cana-3966	84	22	for	for	ADP
cana-3966	84	23	each	each	DET
cana-3966	84	24	patient	patient	NOUN
cana-3966	84	25	.	.	PUNCT
cana-3966	85	1	the	the	DET
cana-3966	85	2	output	output	NOUN
cana-3966	85	3	is	be	AUX
cana-3966	85	4	computed	compute	VERB
cana-3966	85	5	using	use	VERB
cana-3966	85	6	a	a	DET
cana-3966	85	7	sigmoid	sigmoid	NOUN
cana-3966	85	8	activation	activation	NOUN
cana-3966	85	9	function	function	NOUN
cana-3966	85	10	:	:	PUNCT
cana-3966	85	11	�	�	PROPN
cana-3966	85	12	̂	̂	NOUN
cana-3966	85	13	�	�	PROPN
cana-3966	85	14	𝒾	𝒾	NOUN
cana-3966	85	15	=	=	PUNCT
cana-3966	85	16	𝜎(𝑤𝑜𝒉𝒾	𝜎(𝑤𝑜𝒉𝒾	NOUN
cana-3966	85	17	(	(	PUNCT
cana-3966	85	18	2	2	NUM
cana-3966	85	19	)	)	PUNCT
cana-3966	86	1	+	+	CCONJ
cana-3966	86	2	𝑏𝑜	𝑏𝑜	X
cana-3966	86	3	)	)	PUNCT
cana-3966	86	4	(	(	PUNCT
cana-3966	86	5	4	4	X
cana-3966	86	6	)	)	PUNCT
cana-3966	86	7	where	where	SCONJ
cana-3966	86	8	,	,	PUNCT
cana-3966	86	9			PROPN
cana-3966	86	10	is	be	AUX
cana-3966	86	11	the	the	DET
cana-3966	86	12	sigmoid	sigmoid	NOUN
cana-3966	86	13	function	function	NOUN
cana-3966	86	14	,	,	PUNCT
cana-3966	86	15	wo	will	AUX
cana-3966	86	16	is	be	AUX
cana-3966	86	17	the	the	DET
cana-3966	86	18	weight	weight	NOUN
cana-3966	86	19	matrix	matrix	NOUN
cana-3966	86	20	,	,	PUNCT
cana-3966	86	21	and	and	CCONJ
cana-3966	86	22	bo	bo	PROPN
cana-3966	86	23	is	be	AUX
cana-3966	86	24	the	the	DET
cana-3966	86	25	bias	bias	NOUN
cana-3966	86	26	term	term	NOUN
cana-3966	86	27	.	.	PUNCT
cana-3966	87	1	3.1.6	3.1.6	X
cana-3966	87	2	.	.	PUNCT
cana-3966	87	3	risk	risk	NOUN
cana-3966	87	4	stratification	stratification	NOUN
cana-3966	87	5	based	base	VERB
cana-3966	87	6	on	on	ADP
cana-3966	87	7	the	the	DET
cana-3966	87	8	predicted	predict	VERB
cana-3966	87	9	probabilities	probability	NOUN
cana-3966	87	10	�	�	NOUN
cana-3966	87	11	̂	̂	VERB
cana-3966	87	12	�	�	NOUN
cana-3966	87	13	𝑖	𝑖	NUM
cana-3966	87	14	,	,	PUNCT
cana-3966	87	15	patients	patient	NOUN
cana-3966	87	16	are	be	AUX
cana-3966	87	17	classified	classify	VERB
cana-3966	87	18	into	into	ADP
cana-3966	87	19	different	different	ADJ
cana-3966	87	20	risk	risk	NOUN
cana-3966	87	21	categories	category	NOUN
cana-3966	87	22	.	.	PUNCT
cana-3966	88	1	the	the	DET
cana-3966	88	2	risk	risk	NOUN
cana-3966	88	3	stratification	stratification	NOUN
cana-3966	88	4	is	be	AUX
cana-3966	88	5	performed	perform	VERB
cana-3966	88	6	using	use	VERB
cana-3966	88	7	thresholds	threshold	NOUN
cana-3966	88	8	τk	τk	ADP
cana-3966	88	9	defining	define	VERB
cana-3966	88	10	categories	category	NOUN
cana-3966	88	11	ck	ck	INTJ
cana-3966	88	12	as	as	ADP
cana-3966	88	13	:	:	PUNCT
cana-3966	88	14	𝐶𝑘	𝐶𝑘	PROPN
cana-3966	88	15	=	=	PUNCT
cana-3966	88	16	{	{	PUNCT
cana-3966	88	17	𝒙𝒾	𝒙𝒾	X
cana-3966	88	18	|	|	ADV
cana-3966	88	19	𝜏𝑘−1	𝜏𝑘−1	PROPN
cana-3966	88	20	<	<	X
cana-3966	88	21	�	�	PROPN
cana-3966	88	22	̂	̂	SYM
cana-3966	88	23	�	�	NOUN
cana-3966	88	24	𝒾	𝒾	NOUN
cana-3966	88	25	≤	≤	NOUN
cana-3966	88	26	𝜏𝑘	𝜏𝑘	ADP
cana-3966	88	27	}	}	PUNCT
cana-3966	88	28	(	(	PUNCT
cana-3966	88	29	5	5	NUM
cana-3966	88	30	)	)	PUNCT
cana-3966	88	31	3.2	3.2	NUM
cana-3966	88	32	.	.	PUNCT
cana-3966	89	1	problem	problem	NOUN
cana-3966	89	2	formulation	formulation	NOUN
cana-3966	89	3	hf	hf	ADP
cana-3966	89	4	prediction	prediction	NOUN
cana-3966	89	5	involves	involve	VERB
cana-3966	89	6	estimating	estimate	VERB
cana-3966	89	7	the	the	DET
cana-3966	89	8	probability	probability	NOUN
cana-3966	89	9	that	that	SCONJ
cana-3966	89	10	a	a	DET
cana-3966	89	11	patient	patient	NOUN
cana-3966	89	12	will	will	AUX
cana-3966	89	13	develop	develop	VERB
cana-3966	89	14	hf	hf	ADP
cana-3966	89	15	based	base	VERB
cana-3966	89	16	on	on	ADP
cana-3966	89	17	a	a	DET
cana-3966	89	18	range	range	NOUN
cana-3966	89	19	of	of	ADP
cana-3966	89	20	clinical	clinical	ADJ
cana-3966	89	21	and	and	CCONJ
cana-3966	89	22	demographic	demographic	ADJ
cana-3966	89	23	variables	variable	NOUN
cana-3966	89	24	.	.	PUNCT
cana-3966	90	1	the	the	DET
cana-3966	90	2	problem	problem	NOUN
cana-3966	90	3	can	can	AUX
cana-3966	90	4	be	be	AUX
cana-3966	90	5	formulated	formulate	VERB
cana-3966	90	6	as	as	ADP
cana-3966	90	7	a	a	DET
cana-3966	90	8	classification	classification	NOUN
cana-3966	90	9	task	task	NOUN
cana-3966	90	10	where	where	SCONJ
cana-3966	90	11	the	the	DET
cana-3966	90	12	goal	goal	NOUN
cana-3966	90	13	is	be	AUX
cana-3966	90	14	to	to	PART
cana-3966	90	15	predict	predict	VERB
cana-3966	90	16			NOUN
cana-3966	90	17	binary	binary	PROPN
cana-3966	90	18	outcome	outcome	NOUN
cana-3966	90	19	,	,	PUNCT
cana-3966	90	20	y	y	PROPN
cana-3966	90	21	,	,	PUNCT
cana-3966	90	22	indicating	indicate	VERB
cana-3966	90	23	the	the	DET
cana-3966	90	24	presence	presence	NOUN
cana-3966	90	25	or	or	CCONJ
cana-3966	90	26	absence	absence	NOUN
cana-3966	90	27	of	of	ADP
cana-3966	90	28	hf	hf	NOUN
cana-3966	90	29	.	.	PUNCT
cana-3966	91	1	let	let	VERB
cana-3966	91	2	x	x	PRON
cana-3966	91	3	represent	represent	VERB
cana-3966	91	4	the	the	DET
cana-3966	91	5	feature	feature	NOUN
cana-3966	91	6	matrix	matrix	NOUN
cana-3966	91	7	consisting	consist	VERB
cana-3966	91	8	of	of	ADP
cana-3966	91	9	n	n	DET
cana-3966	91	10	patients	patient	NOUN
cana-3966	91	11	,	,	PUNCT
cana-3966	91	12	where	where	SCONJ
cana-3966	91	13	each	each	DET
cana-3966	91	14	patient	patient	NOUN
cana-3966	91	15	i	i	PRON
cana-3966	91	16	is	be	AUX
cana-3966	91	17	described	describe	VERB
cana-3966	91	18	by	by	ADP
cana-3966	91	19	a	a	DET
cana-3966	91	20	vector	vector	NOUN
cana-3966	91	21	of	of	ADP
cana-3966	91	22	features	feature	NOUN
cana-3966	91	23	xi	xi	PUNCT
cana-3966	92	1	rm	rm	PROPN
cana-3966	92	2	.	.	PUNCT
cana-3966	93	1	the	the	DET
cana-3966	93	2	goal	goal	NOUN
cana-3966	93	3	is	be	AUX
cana-3966	93	4	to	to	PART
cana-3966	93	5	model	model	VERB
cana-3966	93	6	the	the	DET
cana-3966	93	7	probability	probability	NOUN
cana-3966	93	8	p(yi	p(yi	ADV
cana-3966	93	9	=	=	SYM
cana-3966	93	10	1|	1|	NUM
cana-3966	93	11	xi	xi	NOUN
cana-3966	93	12	)	)	PUNCT
cana-3966	93	13	where	where	SCONJ
cana-3966	93	14	yi	yi	PROPN
cana-3966	93	15	is	be	AUX
cana-3966	93	16	a	a	DET
cana-3966	93	17	binary	binary	ADJ
cana-3966	93	18	indicator	indicator	NOUN
cana-3966	93	19	of	of	ADP
cana-3966	93	20	hf	hf	NOUN
cana-3966	93	21	for	for	ADP
cana-3966	93	22	patient	patient	ADJ
cana-3966	93	23	i.	i.	NOUN
cana-3966	93	24	to	to	PART
cana-3966	93	25	achieve	achieve	VERB
cana-3966	93	26	this	this	PRON
cana-3966	93	27	,	,	PUNCT
cana-3966	93	28	we	we	PRON
cana-3966	93	29	define	define	VERB
cana-3966	93	30	a	a	DET
cana-3966	93	31	predictive	predictive	ADJ
cana-3966	93	32	model	model	NOUN
cana-3966	93	33	f(xi;θ	f(xi;θ	PROPN
cana-3966	93	34	)	)	PUNCT
cana-3966	93	35	that	that	PRON
cana-3966	93	36	outputs	output	VERB
cana-3966	93	37	the	the	DET
cana-3966	93	38	probability	probability	NOUN
cana-3966	93	39	of	of	ADP
cana-3966	93	40	hf	hf	NOUN
cana-3966	93	41	given	give	VERB
cana-3966	93	42	the	the	DET
cana-3966	93	43	features	feature	NOUN
cana-3966	93	44	xi	xi	X
cana-3966	93	45	and	and	CCONJ
cana-3966	93	46	parameters	parameter	NOUN
cana-3966	93	47	θ	θ	PROPN
cana-3966	93	48	:	:	PUNCT
cana-3966	93	49	𝑃(𝑦𝒾	𝑃(𝑦𝒾	VERB
cana-3966	93	50	=	=	PUNCT
cana-3966	93	51	1|𝑥𝑖	1|𝑥𝑖	NUM
cana-3966	93	52	)	)	PUNCT
cana-3966	93	53	=	=	SYM
cana-3966	93	54	𝑓(𝑥𝒾	𝑓(𝑥𝒾	X
cana-3966	93	55	;	;	PUNCT
cana-3966	93	56	𝜃	𝜃	X
cana-3966	93	57	)	)	PUNCT
cana-3966	93	58	(	(	PUNCT
cana-3966	93	59	6	6	NUM
cana-3966	93	60	)	)	PUNCT
cana-3966	93	61	where	where	SCONJ
cana-3966	93	62	f(xi;θ	f(xi;θ	NOUN
cana-3966	93	63	)	)	PUNCT
cana-3966	93	64	is	be	AUX
cana-3966	93	65	typically	typically	ADV
cana-3966	93	66	a	a	DET
cana-3966	93	67	logistic	logistic	ADJ
cana-3966	93	68	regression	regression	NOUN
cana-3966	93	69	function	function	NOUN
cana-3966	93	70	,	,	PUNCT
cana-3966	93	71	neural	neural	ADJ
cana-3966	93	72	network	network	NOUN
cana-3966	93	73	,	,	PUNCT
cana-3966	93	74	or	or	CCONJ
cana-3966	93	75	any	any	DET
cana-3966	93	76	other	other	ADJ
cana-3966	93	77	classification	classification	NOUN
cana-3966	93	78	model	model	NOUN
cana-3966	93	79	.	.	PUNCT
cana-3966	94	1	the	the	DET
cana-3966	94	2	model	model	NOUN
cana-3966	94	3	is	be	AUX
cana-3966	94	4	trained	train	VERB
cana-3966	94	5	to	to	PART
cana-3966	94	6	minimize	minimize	VERB
cana-3966	94	7	the	the	DET
cana-3966	94	8	loss	loss	NOUN
cana-3966	94	9	function	function	NOUN
cana-3966	94	10	,	,	PUNCT
cana-3966	94	11	which	which	PRON
cana-3966	94	12	is	be	AUX
cana-3966	94	13	often	often	ADV
cana-3966	94	14	the	the	DET
cana-3966	94	15	binary	binary	PROPN
cana-3966	94	16	cross	cross	ADJ
cana-3966	94	17	-	-	ADJ
cana-3966	94	18	entropy	entropy	ADJ
cana-3966	94	19	loss	loss	NOUN
cana-3966	94	20	for	for	ADP
cana-3966	94	21	classification	classification	NOUN
cana-3966	94	22	problems	problem	NOUN
cana-3966	94	23	:	:	PUNCT
cana-3966	94	24	𝐿(𝜃	𝐿(𝜃	X
cana-3966	94	25	)	)	PUNCT
cana-3966	94	26	=	=	SYM
cana-3966	95	1	−	−	PROPN
cana-3966	95	2	1	1	NUM
cana-3966	95	3	𝑛	𝑛	PROPN
cana-3966	95	4	∑	∑	PROPN
cana-3966	95	5	[	[	X
cana-3966	95	6	𝑦𝒾𝑙𝑜𝑔(𝑓(𝑥𝒾	𝑦𝒾𝑙𝑜𝑔(𝑓(𝑥𝒾	X
cana-3966	95	7	;	;	PUNCT
cana-3966	95	8	𝜃	𝜃	X
cana-3966	95	9	)	)	PUNCT
cana-3966	95	10	)	)	PUNCT
cana-3966	96	1	+	+	CCONJ
cana-3966	96	2	(	(	PUNCT
cana-3966	96	3	1	1	NUM
cana-3966	96	4	−	−	NUM
cana-3966	96	5	𝑦𝒾	𝑦𝒾	NOUN
cana-3966	96	6	)	)	PUNCT
cana-3966	96	7	𝑙𝑜𝑔	𝑙𝑜𝑔	NOUN
cana-3966	96	8	(	(	PUNCT
cana-3966	96	9	1	1	NUM
cana-3966	96	10	−	−	PROPN
cana-3966	96	11	𝑓(𝑥𝒾	𝑓(𝑥𝒾	NOUN
cana-3966	96	12	;	;	PUNCT
cana-3966	96	13	𝜃))]𝑛	𝜃))]𝑛	X
cana-3966	96	14	𝒾=1	𝒾=1	X
cana-3966	96	15	(	(	PUNCT
cana-3966	96	16	7	7	NUM
cana-3966	96	17	)	)	PUNCT
cana-3966	96	18	in	in	ADP
cana-3966	96	19	addition	addition	NOUN
cana-3966	96	20	to	to	ADP
cana-3966	96	21	prediction	prediction	NOUN
cana-3966	96	22	,	,	PUNCT
cana-3966	96	23	risk	risk	NOUN
cana-3966	96	24	stratification	stratification	NOUN
cana-3966	96	25	is	be	AUX
cana-3966	96	26	employed	employ	VERB
cana-3966	96	27	to	to	PART
cana-3966	96	28	classify	classify	VERB
cana-3966	96	29	patients	patient	NOUN
cana-3966	96	30	into	into	ADP
cana-3966	96	31	different	different	ADJ
cana-3966	96	32	risk	risk	NOUN
cana-3966	96	33	categories	category	NOUN
cana-3966	96	34	based	base	VERB
cana-3966	96	35	on	on	ADP
cana-3966	96	36	their	their	PRON
cana-3966	96	37	predicted	predict	VERB
cana-3966	96	38	probabilities	probability	NOUN
cana-3966	96	39	.	.	PUNCT
cana-3966	97	1	let	let	VERB
cana-3966	97	2	�	�	PRON
cana-3966	97	3	̂	̂	VERB
cana-3966	97	4	�	�	NOUN
cana-3966	97	5	𝒾	𝒾	NOUN
cana-3966	97	6	denote	denote	VERB
cana-3966	97	7	the	the	DET
cana-3966	97	8	predicted	predict	VERB
cana-3966	97	9	probability	probability	NOUN
cana-3966	97	10	for	for	ADP
cana-3966	97	11	patient	patient	ADJ
cana-3966	97	12	i.	i.	NOUN
cana-3966	97	13	patients	patient	NOUN
cana-3966	97	14	are	be	AUX
cana-3966	97	15	classified	classify	VERB
cana-3966	97	16	into	into	ADP
cana-3966	97	17	risk	risk	NOUN
cana-3966	97	18	categories	category	NOUN
cana-3966	98	1	ck	ck	INTJ
cana-3966	98	2	(	(	PUNCT
cana-3966	98	3	e.g.	e.g.	ADV
cana-3966	98	4	,	,	PUNCT
cana-3966	98	5	low	low	ADJ
cana-3966	98	6	,	,	PUNCT
cana-3966	98	7	medium	medium	ADJ
cana-3966	98	8	,	,	PUNCT
cana-3966	98	9	high	high	ADJ
cana-3966	98	10	risk	risk	NOUN
cana-3966	98	11	)	)	PUNCT
cana-3966	98	12	based	base	VERB
cana-3966	98	13	on	on	ADP
cana-3966	98	14	thresholds	threshold	NOUN
cana-3966	98	15	τk	τk	ADP
cana-3966	98	16	:	:	PUNCT
cana-3966	98	17	ck	ck	PROPN
cana-3966	99	1	=	=	PRON
cana-3966	99	2	{	{	PUNCT
cana-3966	99	3	xi	xi	ADP
cana-3966	99	4	|τk−1	|τk−1	NUM
cana-3966	99	5	<	<	X
cana-3966	99	6	pˆi	pˆi	PROPN
cana-3966	99	7	≤τk	≤τk	PROPN
cana-3966	99	8	}	}	PUNCT
cana-3966	99	9	(	(	PUNCT
cana-3966	99	10	8)	8)	NUM
cana-3966	99	11	the	the	DET
cana-3966	99	12	goal	goal	NOUN
cana-3966	99	13	is	be	AUX
cana-3966	99	14	to	to	PART
cana-3966	99	15	optimize	optimize	VERB
cana-3966	99	16	the	the	DET
cana-3966	99	17	model	model	NOUN
cana-3966	99	18	parameters	parameter	NOUN
cana-3966	99	19	θ	θ	PROPN
cana-3966	99	20	such	such	ADJ
cana-3966	99	21	that	that	SCONJ
cana-3966	99	22	the	the	DET
cana-3966	99	23	predictive	predictive	ADJ
cana-3966	99	24	accuracy	accuracy	NOUN
cana-3966	99	25	is	be	AUX
cana-3966	99	26	maximized	maximize	VERB
cana-3966	99	27	and	and	CCONJ
cana-3966	99	28	risk	risk	NOUN
cana-3966	99	29	stratification	stratification	NOUN
cana-3966	99	30	aligns	align	VERB
cana-3966	99	31	with	with	ADP
cana-3966	99	32	clinical	clinical	ADJ
cana-3966	99	33	outcomes	outcome	NOUN
cana-3966	99	34	.	.	PUNCT
cana-3966	100	1	this	this	DET
cana-3966	100	2	formulation	formulation	NOUN
cana-3966	100	3	addresses	address	VERB
cana-3966	100	4	the	the	DET
cana-3966	100	5	need	need	NOUN
cana-3966	100	6	for	for	ADP
cana-3966	100	7	accurate	accurate	ADJ
cana-3966	100	8	prediction	prediction	NOUN
cana-3966	100	9	and	and	CCONJ
cana-3966	100	10	effective	effective	ADJ
cana-3966	100	11	risk	risk	NOUN
cana-3966	100	12	stratification	stratification	NOUN
cana-3966	100	13	in	in	ADP
cana-3966	100	14	hf	hf	PROPN
cana-3966	100	15	management	management	NOUN
cana-3966	100	16	.	.	PUNCT
cana-3966	101	1	3.3	3.3	NUM
cana-3966	101	2	.	.	PUNCT
cana-3966	102	1	dataset	dataset	NOUN
cana-3966	102	2	we	we	PRON
cana-3966	102	3	used	use	VERB
cana-3966	102	4	the	the	DET
cana-3966	102	5	heart	heart	NOUN
cana-3966	102	6	failure	failure	NOUN
cana-3966	102	7	clinical	clinical	ADJ
cana-3966	102	8	records	record	NOUN
cana-3966	102	9	dataset	dataset	VERB
cana-3966	102	10	from	from	ADP
cana-3966	102	11	kaggle	kaggle	PROPN
cana-3966	102	12	[	[	X
cana-3966	102	13	24	24	NUM
cana-3966	102	14	]	]	PUNCT
cana-3966	102	15	,	,	PUNCT
cana-3966	102	16	which	which	PRON
cana-3966	102	17	includes	include	VERB
cana-3966	102	18	comprehensive	comprehensive	ADJ
cana-3966	102	19	patient	patient	ADJ
cana-3966	102	20	demographics	demographic	NOUN
cana-3966	102	21	,	,	PUNCT
cana-3966	102	22	clinical	clinical	ADJ
cana-3966	102	23	measurements	measurement	NOUN
cana-3966	102	24	,	,	PUNCT
cana-3966	102	25	and	and	CCONJ
cana-3966	102	26	health	health	NOUN
cana-3966	102	27	conditions	condition	NOUN
cana-3966	102	28	.	.	PUNCT
cana-3966	103	1	this	this	DET
cana-3966	103	2	dataset	dataset	NOUN
cana-3966	103	3	supports	support	VERB
cana-3966	103	4	predictive	predictive	ADJ
cana-3966	103	5	modelling	modelling	NOUN
cana-3966	103	6	,	,	PUNCT
cana-3966	103	7	risk	risk	NOUN
cana-3966	103	8	assessment	assessment	NOUN
cana-3966	103	9	,	,	PUNCT
cana-3966	103	10	and	and	CCONJ
cana-3966	103	11	clinical	clinical	ADJ
cana-3966	103	12	research	research	NOUN
cana-3966	103	13	.	.	PUNCT
cana-3966	104	1	key	key	ADJ
cana-3966	104	2	attributes	attribute	NOUN
cana-3966	104	3	of	of	ADP
cana-3966	104	4	the	the	DET
cana-3966	104	5	dataset	dataset	NOUN
cana-3966	104	6	typically	typically	ADV
cana-3966	104	7	include	include	VERB
cana-3966	104	8	:	:	PUNCT
cana-3966	104	9	1	1	X
cana-3966	104	10	.	.	X
cana-3966	104	11	age	age	NOUN
cana-3966	104	12	:	:	PUNCT
cana-3966	104	13	(	(	PUNCT
cana-3966	104	14	a	a	X
cana-3966	104	15	)	)	PUNCT
cana-3966	104	16	description	description	NOUN
cana-3966	104	17	:	:	PUNCT
cana-3966	104	18	age	age	NOUN
cana-3966	104	19	of	of	ADP
cana-3966	104	20	the	the	DET
cana-3966	104	21	patient	patient	NOUN
cana-3966	104	22	in	in	ADP
cana-3966	104	23	years	year	NOUN
cana-3966	104	24	.	.	PUNCT
cana-3966	105	1	communications	communication	NOUN
cana-3966	105	2	on	on	ADP
cana-3966	105	3	applied	apply	VERB
cana-3966	105	4	nonlinear	nonlinear	ADJ
cana-3966	105	5	analysis	analysis	NOUN
cana-3966	105	6	issn	issn	NOUN
cana-3966	105	7	:	:	PUNCT
cana-3966	105	8	1074	1074	NUM
cana-3966	105	9	-	-	PUNCT
cana-3966	105	10	133x	133x	NUM
cana-3966	105	11	vol	vol	NOUN
cana-3966	105	12	32	32	NUM
cana-3966	105	13	no	no	NOUN
cana-3966	105	14	.	.	PUNCT
cana-3966	106	1	9s	9s	NUM
cana-3966	106	2	(	(	PUNCT
cana-3966	106	3	2025	2025	NUM
cana-3966	106	4	)	)	PUNCT
cana-3966	106	5	594	594	NUM
cana-3966	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	106	7	(	(	PUNCT
cana-3966	106	8	b	b	NOUN
cana-3966	106	9	)	)	PUNCT
cana-3966	106	10	type	type	NOUN
cana-3966	106	11	:	:	PUNCT
cana-3966	106	12	integer	integer	NOUN
cana-3966	106	13	.	.	PUNCT
cana-3966	107	1	2	2	X
cana-3966	107	2	.	.	X
cana-3966	107	3	blood	blood	NOUN
cana-3966	107	4	pressure	pressure	NOUN
cana-3966	107	5	:	:	PUNCT
cana-3966	107	6	(	(	PUNCT
cana-3966	107	7	a	a	X
cana-3966	107	8	)	)	PUNCT
cana-3966	107	9	description	description	NOUN
cana-3966	107	10	:	:	PUNCT
cana-3966	107	11	systolic	systolic	ADJ
cana-3966	107	12	and	and	CCONJ
cana-3966	107	13	diastolic	diastolic	ADJ
cana-3966	107	14	blood	blood	NOUN
cana-3966	107	15	pressure	pressure	NOUN
cana-3966	107	16	measurements	measurement	NOUN
cana-3966	107	17	.	.	PUNCT
cana-3966	108	1	(	(	PUNCT
cana-3966	108	2	b	b	X
cana-3966	108	3	)	)	PUNCT
cana-3966	108	4	type	type	NOUN
cana-3966	108	5	:	:	PUNCT
cana-3966	108	6	numerical	numerical	ADJ
cana-3966	108	7	(	(	PUNCT
cana-3966	108	8	e.g.	e.g.	ADV
cana-3966	108	9	,	,	PUNCT
cana-3966	108	10	systolic	systolic	ADJ
cana-3966	108	11	in	in	ADP
cana-3966	108	12	mmhg	mmhg	PROPN
cana-3966	108	13	)	)	PUNCT
cana-3966	108	14	.	.	PUNCT
cana-3966	109	1	3	3	X
cana-3966	109	2	.	.	X
cana-3966	109	3	chronic	chronic	ADJ
cana-3966	109	4	kidney	kidney	NOUN
cana-3966	109	5	disease	disease	NOUN
cana-3966	109	6	:	:	PUNCT
cana-3966	109	7	(	(	PUNCT
cana-3966	109	8	a	a	X
cana-3966	109	9	)	)	PUNCT
cana-3966	109	10	description	description	NOUN
cana-3966	109	11	:	:	PUNCT
cana-3966	109	12	indicator	indicator	NOUN
cana-3966	109	13	of	of	ADP
cana-3966	109	14	chronic	chronic	ADJ
cana-3966	109	15	kidney	kidney	NOUN
cana-3966	109	16	disease	disease	NOUN
cana-3966	109	17	presence	presence	NOUN
cana-3966	109	18	.	.	PUNCT
cana-3966	110	1	(	(	PUNCT
cana-3966	110	2	b	b	X
cana-3966	110	3	)	)	PUNCT
cana-3966	110	4	type	type	NOUN
cana-3966	110	5	:	:	PUNCT
cana-3966	110	6	binary	binary	NOUN
cana-3966	110	7	(	(	PUNCT
cana-3966	110	8	e.g.	e.g.	ADJ
cana-3966	110	9	,	,	PUNCT
cana-3966	110	10	0	0	NUM
cana-3966	110	11	for	for	ADP
cana-3966	110	12	no	no	NOUN
cana-3966	110	13	,	,	PUNCT
cana-3966	110	14	1	1	NUM
cana-3966	110	15	for	for	ADP
cana-3966	110	16	yes	yes	NOUN
cana-3966	110	17	)	)	PUNCT
cana-3966	110	18	.	.	PUNCT
cana-3966	111	1	4	4	X
cana-3966	111	2	.	.	X
cana-3966	111	3	diabetes	diabetes	NOUN
cana-3966	111	4	:	:	PUNCT
cana-3966	111	5	(	(	PUNCT
cana-3966	111	6	a	a	X
cana-3966	111	7	)	)	PUNCT
cana-3966	111	8	description	description	NOUN
cana-3966	111	9	:	:	PUNCT
cana-3966	111	10	indicator	indicator	NOUN
cana-3966	111	11	of	of	ADP
cana-3966	111	12	diabetes	diabetes	NOUN
cana-3966	111	13	presence	presence	NOUN
cana-3966	111	14	.	.	PUNCT
cana-3966	112	1	(	(	PUNCT
cana-3966	112	2	b	b	X
cana-3966	112	3	)	)	PUNCT
cana-3966	112	4	type	type	NOUN
cana-3966	112	5	:	:	PUNCT
cana-3966	112	6	binary	binary	NOUN
cana-3966	112	7	(	(	PUNCT
cana-3966	112	8	e.g.	e.g.	ADJ
cana-3966	112	9	,	,	PUNCT
cana-3966	112	10	0	0	NUM
cana-3966	112	11	for	for	ADP
cana-3966	112	12	no	no	NOUN
cana-3966	112	13	,	,	PUNCT
cana-3966	112	14	1	1	NUM
cana-3966	112	15	for	for	ADP
cana-3966	112	16	yes	yes	NOUN
cana-3966	112	17	)	)	PUNCT
cana-3966	112	18	.	.	PUNCT
cana-3966	113	1	5	5	X
cana-3966	113	2	.	.	X
cana-3966	113	3	ejection	ejection	NOUN
cana-3966	113	4	fraction	fraction	NOUN
cana-3966	113	5	:	:	PUNCT
cana-3966	113	6	(	(	PUNCT
cana-3966	113	7	a	a	X
cana-3966	113	8	)	)	PUNCT
cana-3966	113	9	description	description	NOUN
cana-3966	113	10	:	:	PUNCT
cana-3966	113	11	percentage	percentage	NOUN
cana-3966	113	12	of	of	ADP
cana-3966	113	13	blood	blood	NOUN
cana-3966	113	14	pumped	pump	VERB
cana-3966	113	15	out	out	ADP
cana-3966	113	16	of	of	ADP
cana-3966	113	17	the	the	DET
cana-3966	113	18	heart	heart	NOUN
cana-3966	113	19	with	with	ADP
cana-3966	113	20	each	each	DET
cana-3966	113	21	beat	beat	NOUN
cana-3966	113	22	.	.	PUNCT
cana-3966	114	1	(	(	PUNCT
cana-3966	114	2	b	b	X
cana-3966	114	3	)	)	PUNCT
cana-3966	114	4	type	type	NOUN
cana-3966	114	5	:	:	PUNCT
cana-3966	114	6	numerical	numerical	ADJ
cana-3966	114	7	(	(	PUNCT
cana-3966	114	8	e.g.	e.g.	ADJ
cana-3966	114	9	,	,	PUNCT
cana-3966	114	10	percentage	percentage	NOUN
cana-3966	114	11	)	)	PUNCT
cana-3966	114	12	.	.	PUNCT
cana-3966	115	1	6	6	X
cana-3966	115	2	.	.	X
cana-3966	115	3	platelets	platelet	NOUN
cana-3966	115	4	:	:	PUNCT
cana-3966	115	5	(	(	PUNCT
cana-3966	115	6	a	a	X
cana-3966	115	7	)	)	PUNCT
cana-3966	115	8	description	description	NOUN
cana-3966	115	9	:	:	PUNCT
cana-3966	115	10	platelet	platelet	NOUN
cana-3966	115	11	count	count	NOUN
cana-3966	115	12	in	in	ADP
cana-3966	115	13	blood	blood	NOUN
cana-3966	115	14	(	(	PUNCT
cana-3966	115	15	e.g.	e.g.	ADV
cana-3966	115	16	,	,	PUNCT
cana-3966	115	17	per	per	ADP
cana-3966	115	18	microliter	microliter	NOUN
cana-3966	115	19	)	)	PUNCT
cana-3966	115	20	.	.	PUNCT
cana-3966	116	1	(	(	PUNCT
cana-3966	116	2	b	b	X
cana-3966	116	3	)	)	PUNCT
cana-3966	116	4	type	type	NOUN
cana-3966	116	5	:	:	PUNCT
cana-3966	116	6	numerical	numerical	ADJ
cana-3966	116	7	.	.	PUNCT
cana-3966	117	1	7	7	X
cana-3966	117	2	.	.	X
cana-3966	117	3	sex	sex	NOUN
cana-3966	117	4	:	:	PUNCT
cana-3966	117	5	(	(	PUNCT
cana-3966	117	6	a	a	X
cana-3966	117	7	)	)	PUNCT
cana-3966	117	8	description	description	NOUN
cana-3966	117	9	:	:	PUNCT
cana-3966	117	10	gender	gender	NOUN
cana-3966	117	11	of	of	ADP
cana-3966	117	12	the	the	DET
cana-3966	117	13	patient	patient	NOUN
cana-3966	117	14	.	.	PUNCT
cana-3966	118	1	(	(	PUNCT
cana-3966	118	2	b	b	X
cana-3966	118	3	)	)	PUNCT
cana-3966	118	4	type	type	NOUN
cana-3966	118	5	:	:	PUNCT
cana-3966	118	6	categorical	categorical	ADJ
cana-3966	118	7	(	(	PUNCT
cana-3966	118	8	e.g.	e.g.	ADV
cana-3966	118	9	,	,	PUNCT
cana-3966	118	10	“	"	PUNCT
cana-3966	118	11	male	male	NOUN
cana-3966	118	12	”	"	PUNCT
cana-3966	118	13	,	,	PUNCT
cana-3966	118	14	“	"	PUNCT
cana-3966	118	15	female	female	NOUN
cana-3966	118	16	”	"	PUNCT
cana-3966	118	17	)	)	PUNCT
cana-3966	118	18	.	.	PUNCT
cana-3966	119	1	8	8	X
cana-3966	119	2	.	.	X
cana-3966	119	3	smoking	smoking	NOUN
cana-3966	119	4	status	status	NOUN
cana-3966	119	5	:	:	PUNCT
cana-3966	119	6	(	(	PUNCT
cana-3966	119	7	a	a	X
cana-3966	119	8	)	)	PUNCT
cana-3966	119	9	description	description	NOUN
cana-3966	119	10	:	:	PUNCT
cana-3966	119	11	indicator	indicator	NOUN
cana-3966	119	12	of	of	ADP
cana-3966	119	13	smoking	smoking	NOUN
cana-3966	119	14	habits	habit	NOUN
cana-3966	119	15	.	.	PUNCT
cana-3966	120	1	(	(	PUNCT
cana-3966	120	2	b	b	X
cana-3966	120	3	)	)	PUNCT
cana-3966	120	4	type	type	NOUN
cana-3966	120	5	:	:	PUNCT
cana-3966	120	6	binary	binary	NOUN
cana-3966	120	7	(	(	PUNCT
cana-3966	120	8	e.g.	e.g.	ADJ
cana-3966	120	9	,	,	PUNCT
cana-3966	120	10	0	0	NUM
cana-3966	120	11	for	for	ADP
cana-3966	120	12	non	non	ADJ
cana-3966	120	13	-	-	ADJ
cana-3966	120	14	smoker	smoker	ADJ
cana-3966	120	15	,	,	PUNCT
cana-3966	120	16	1	1	NUM
cana-3966	120	17	for	for	ADP
cana-3966	120	18	smoker	smoker	NOUN
cana-3966	120	19	)	)	PUNCT
cana-3966	120	20	.	.	PUNCT
cana-3966	121	1	9	9	X
cana-3966	121	2	.	.	X
cana-3966	121	3	hf	hf	ADJ
cana-3966	121	4	event	event	NOUN
cana-3966	121	5	:	:	PUNCT
cana-3966	121	6	(	(	PUNCT
cana-3966	121	7	a	a	X
cana-3966	121	8	)	)	PUNCT
cana-3966	121	9	description	description	NOUN
cana-3966	121	10	:	:	PUNCT
cana-3966	121	11	the	the	DET
cana-3966	121	12	target	target	NOUN
cana-3966	121	13	variable	variable	NOUN
cana-3966	121	14	indicating	indicate	VERB
cana-3966	121	15	the	the	DET
cana-3966	121	16	occurrence	occurrence	NOUN
cana-3966	121	17	of	of	ADP
cana-3966	121	18	a	a	DET
cana-3966	121	19	hf	hf	ADJ
cana-3966	121	20	event	event	NOUN
cana-3966	121	21	.	.	PUNCT
cana-3966	122	1	(	(	PUNCT
cana-3966	122	2	b	b	X
cana-3966	122	3	)	)	PUNCT
cana-3966	122	4	type	type	NOUN
cana-3966	122	5	:	:	PUNCT
cana-3966	122	6	binary	binary	NOUN
cana-3966	122	7	(	(	PUNCT
cana-3966	122	8	e.g.	e.g.	ADJ
cana-3966	122	9	,	,	PUNCT
cana-3966	122	10	0	0	NUM
cana-3966	122	11	for	for	ADP
cana-3966	122	12	no	no	DET
cana-3966	122	13	event	event	NOUN
cana-3966	122	14	,	,	PUNCT
cana-3966	122	15	1	1	NUM
cana-3966	122	16	for	for	ADP
cana-3966	122	17	hf	hf	NOUN
cana-3966	122	18	)	)	PUNCT
cana-3966	122	19	.	.	PUNCT
cana-3966	123	1	3.4	3.4	NUM
cana-3966	123	2	.	.	PUNCT
cana-3966	123	3	proposed	propose	VERB
cana-3966	123	4	methodology	methodology	NOUN
cana-3966	123	5	the	the	DET
cana-3966	123	6	proposed	propose	VERB
cana-3966	123	7	methodology	methodology	NOUN
cana-3966	123	8	for	for	ADP
cana-3966	123	9	hf	hf	NOUN
cana-3966	123	10	prediction	prediction	NOUN
cana-3966	123	11	integrates	integrate	VERB
cana-3966	123	12	predictive	predictive	ADJ
cana-3966	123	13	analytics	analytic	NOUN
cana-3966	123	14	with	with	ADP
cana-3966	123	15	risk	risk	NOUN
cana-3966	123	16	stratification	stratification	NOUN
cana-3966	123	17	to	to	PART
cana-3966	123	18	provide	provide	VERB
cana-3966	123	19	a	a	DET
cana-3966	123	20	comprehensive	comprehensive	ADJ
cana-3966	123	21	approach	approach	NOUN
cana-3966	123	22	to	to	ADP
cana-3966	123	23	identifying	identify	VERB
cana-3966	123	24	and	and	CCONJ
cana-3966	123	25	managing	manage	VERB
cana-3966	123	26	hf	hf	ADP
cana-3966	123	27	risk	risk	NOUN
cana-3966	123	28	.	.	PUNCT
cana-3966	124	1	the	the	DET
cana-3966	124	2	methodology	methodology	NOUN
cana-3966	124	3	is	be	AUX
cana-3966	124	4	structured	structure	VERB
cana-3966	124	5	into	into	ADP
cana-3966	124	6	several	several	ADJ
cana-3966	124	7	key	key	ADJ
cana-3966	124	8	phases	phase	NOUN
cana-3966	124	9	:	:	PUNCT
cana-3966	124	10	data	datum	NOUN
cana-3966	124	11	pre	pre	ADJ
cana-3966	124	12	-	-	ADJ
cana-3966	124	13	processing	processing	ADJ
cana-3966	124	14	,	,	PUNCT
cana-3966	124	15	feature	feature	NOUN
cana-3966	124	16	engineering	engineering	NOUN
cana-3966	124	17	,	,	PUNCT
cana-3966	124	18	model	model	NOUN
cana-3966	124	19	development	development	NOUN
cana-3966	124	20	,	,	PUNCT
cana-3966	124	21	and	and	CCONJ
cana-3966	124	22	risk	risk	NOUN
cana-3966	124	23	stratification	stratification	NOUN
cana-3966	124	24	[	[	X
cana-3966	124	25	25	25	NUM
cana-3966	124	26	]	]	PUNCT
cana-3966	124	27	.	.	PUNCT
cana-3966	125	1	3.4.1	3.4.1	X
cana-3966	125	2	.	.	X
cana-3966	125	3	data	datum	NOUN
cana-3966	125	4	pre	pre	ADJ
cana-3966	125	5	-	-	ADJ
cana-3966	125	6	processing	processing	ADJ
cana-3966	125	7	data	datum	NOUN
cana-3966	125	8	preparation	preparation	NOUN
cana-3966	125	9	is	be	AUX
cana-3966	125	10	crucial	crucial	ADJ
cana-3966	125	11	for	for	ADP
cana-3966	125	12	ensuring	ensure	VERB
cana-3966	125	13	dataset	dataset	VERB
cana-3966	125	14	quality	quality	NOUN
cana-3966	125	15	and	and	CCONJ
cana-3966	125	16	includes	include	VERB
cana-3966	125	17	the	the	DET
cana-3966	125	18	following	follow	VERB
cana-3966	125	19	steps	step	NOUN
cana-3966	125	20	:	:	PUNCT
cana-3966	125	21	•	•	NUM
cana-3966	125	22	data	datum	NOUN
cana-3966	125	23	cleaning	cleaning	NOUN
cana-3966	125	24	:	:	PUNCT
cana-3966	125	25	managing	manage	VERB
cana-3966	125	26	missing	miss	VERB
cana-3966	125	27	values	value	NOUN
cana-3966	125	28	,	,	PUNCT
cana-3966	125	29	removing	remove	VERB
cana-3966	125	30	duplicates	duplicate	NOUN
cana-3966	125	31	,	,	PUNCT
cana-3966	125	32	and	and	CCONJ
cana-3966	125	33	correcting	correct	VERB
cana-3966	125	34	inconsistencies	inconsistency	NOUN
cana-3966	125	35	,	,	PUNCT
cana-3966	125	36	with	with	ADP
cana-3966	125	37	imputation	imputation	NOUN
cana-3966	125	38	done	do	VERB
cana-3966	125	39	using	use	VERB
cana-3966	125	40	statistical	statistical	ADJ
cana-3966	125	41	methods	method	NOUN
cana-3966	125	42	like	like	INTJ
cana-3966	125	43	mean	mean	NOUN
cana-3966	125	44	or	or	CCONJ
cana-3966	125	45	median	median	ADJ
cana-3966	125	46	.	.	PUNCT
cana-3966	126	1	•	•	NUM
cana-3966	126	2	normalization	normalization	NOUN
cana-3966	126	3	:	:	PUNCT
cana-3966	126	4	scaling	scale	VERB
cana-3966	126	5	numerical	numerical	ADJ
cana-3966	126	6	features	feature	NOUN
cana-3966	126	7	using	use	VERB
cana-3966	126	8	min	min	NOUN
cana-3966	126	9	-	-	ADJ
cana-3966	126	10	max	max	ADJ
cana-3966	126	11	scaling	scaling	NOUN
cana-3966	126	12	to	to	PART
cana-3966	126	13	enhance	enhance	VERB
cana-3966	126	14	model	model	NOUN
cana-3966	126	15	performance	performance	NOUN
cana-3966	126	16	.	.	PUNCT
cana-3966	127	1	•	•	NUM
cana-3966	127	2	categorical	categorical	ADJ
cana-3966	127	3	encoding	encoding	NOUN
cana-3966	127	4	:	:	PUNCT
cana-3966	127	5	converting	convert	VERB
cana-3966	127	6	categorical	categorical	ADJ
cana-3966	127	7	variables	variable	NOUN
cana-3966	127	8	into	into	ADP
cana-3966	127	9	numerical	numerical	ADJ
cana-3966	127	10	format	format	NOUN
cana-3966	127	11	using	use	VERB
cana-3966	127	12	label	label	NOUN
cana-3966	127	13	encoding	encoding	NOUN
cana-3966	127	14	.	.	PUNCT
cana-3966	128	1	3.4.2	3.4.2	X
cana-3966	128	2	.	.	PUNCT
cana-3966	128	3	feature	feature	NOUN
cana-3966	128	4	engineering	engineering	NOUN
cana-3966	128	5	feature	feature	NOUN
cana-3966	128	6	engineering	engineering	NOUN
cana-3966	128	7	involves	involve	VERB
cana-3966	128	8	creating	create	VERB
cana-3966	128	9	and	and	CCONJ
cana-3966	128	10	selecting	select	VERB
cana-3966	128	11	relevant	relevant	ADJ
cana-3966	128	12	features	feature	NOUN
cana-3966	128	13	to	to	PART
cana-3966	128	14	enhance	enhance	VERB
cana-3966	128	15	model	model	NOUN
cana-3966	128	16	performance	performance	NOUN
cana-3966	128	17	:	:	PUNCT
cana-3966	128	18	•	•	NUM
cana-3966	128	19	feature	feature	NOUN
cana-3966	128	20	selection	selection	NOUN
cana-3966	128	21	:	:	PUNCT
cana-3966	128	22	identifying	identify	VERB
cana-3966	128	23	the	the	DET
cana-3966	128	24	most	most	ADV
cana-3966	128	25	significant	significant	ADJ
cana-3966	128	26	features	feature	NOUN
cana-3966	128	27	using	use	VERB
cana-3966	128	28	correlation	correlation	NOUN
cana-3966	128	29	analysis	analysis	NOUN
cana-3966	128	30	.	.	PUNCT
cana-3966	129	1	communications	communication	NOUN
cana-3966	129	2	on	on	ADP
cana-3966	129	3	applied	apply	VERB
cana-3966	129	4	nonlinear	nonlinear	ADJ
cana-3966	129	5	analysis	analysis	NOUN
cana-3966	129	6	issn	issn	NOUN
cana-3966	129	7	:	:	PUNCT
cana-3966	129	8	1074	1074	NUM
cana-3966	129	9	-	-	PUNCT
cana-3966	129	10	133x	133x	NUM
cana-3966	129	11	vol	vol	NOUN
cana-3966	129	12	32	32	NUM
cana-3966	129	13	no	no	NOUN
cana-3966	129	14	.	.	PUNCT
cana-3966	130	1	9s	9s	NUM
cana-3966	130	2	(	(	PUNCT
cana-3966	130	3	2025	2025	NUM
cana-3966	130	4	)	)	PUNCT
cana-3966	130	5	595	595	NUM
cana-3966	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	130	7	•	•	NUM
cana-3966	130	8	feature	feature	NOUN
cana-3966	130	9	creation	creation	NOUN
cana-3966	130	10	:	:	PUNCT
cana-3966	130	11	generating	generate	VERB
cana-3966	130	12	new	new	ADJ
cana-3966	130	13	features	feature	NOUN
cana-3966	130	14	that	that	PRON
cana-3966	130	15	may	may	AUX
cana-3966	130	16	provide	provide	VERB
cana-3966	130	17	additional	additional	ADJ
cana-3966	130	18	insights	insight	NOUN
cana-3966	130	19	.	.	PUNCT
cana-3966	131	1	for	for	ADP
cana-3966	131	2	instance	instance	NOUN
cana-3966	131	3	,	,	PUNCT
cana-3966	131	4	creating	create	VERB
cana-3966	131	5	interaction	interaction	NOUN
cana-3966	131	6	terms	term	NOUN
cana-3966	131	7	between	between	ADP
cana-3966	131	8	different	different	ADJ
cana-3966	131	9	clinical	clinical	ADJ
cana-3966	131	10	measurements	measurement	NOUN
cana-3966	131	11	.	.	PUNCT
cana-3966	132	1	3.4.3	3.4.3	X
cana-3966	132	2	.	.	PUNCT
cana-3966	132	3	model	model	PROPN
cana-3966	132	4	development	development	PROPN
cana-3966	132	5	the	the	DET
cana-3966	132	6	model	model	NOUN
cana-3966	132	7	development	development	NOUN
cana-3966	132	8	phase	phase	NOUN
cana-3966	132	9	involves	involve	VERB
cana-3966	132	10	training	training	NOUN
cana-3966	132	11	and	and	CCONJ
cana-3966	132	12	evaluating	evaluate	VERB
cana-3966	132	13	predictive	predictive	ADJ
cana-3966	132	14	models	model	NOUN
cana-3966	132	15	:	:	PUNCT
cana-3966	132	16	•	•	NUM
cana-3966	132	17	model	model	NOUN
cana-3966	132	18	selection	selection	NOUN
cana-3966	132	19	:	:	PUNCT
cana-3966	132	20	various	various	ADJ
cana-3966	132	21	ml	ml	NOUN
cana-3966	132	22	and	and	CCONJ
cana-3966	132	23	dl	dl	PROPN
cana-3966	132	24	models	model	NOUN
cana-3966	132	25	,	,	PUNCT
cana-3966	132	26	including	include	VERB
cana-3966	132	27	dtc	dtc	PROPN
cana-3966	132	28	,	,	PUNCT
cana-3966	132	29	rfs	rfs	PROPN
cana-3966	132	30	,	,	PUNCT
cana-3966	132	31	gbms	gbms	NOUN
cana-3966	132	32	,	,	PUNCT
cana-3966	132	33	lr	lr	PROPN
cana-3966	132	34	,	,	PUNCT
cana-3966	132	35	xgbc	xgbc	PROPN
cana-3966	132	36	,	,	PUNCT
cana-3966	132	37	svrc	svrc	PROPN
cana-3966	132	38	,	,	PUNCT
cana-3966	132	39	and	and	CCONJ
cana-3966	132	40	nns	nn	NOUN
cana-3966	132	41	,	,	PUNCT
cana-3966	132	42	are	be	AUX
cana-3966	132	43	evaluated	evaluate	VERB
cana-3966	132	44	to	to	PART
cana-3966	132	45	build	build	VERB
cana-3966	132	46	the	the	DET
cana-3966	132	47	ensemble	ensemble	ADJ
cana-3966	132	48	network	network	NOUN
cana-3966	132	49	.	.	PUNCT
cana-3966	133	1	the	the	DET
cana-3966	133	2	ensemble	ensemble	ADJ
cana-3966	133	3	model	model	NOUN
cana-3966	133	4	's	's	PART
cana-3966	133	5	performance	performance	NOUN
cana-3966	133	6	is	be	AUX
cana-3966	133	7	assessed	assess	VERB
cana-3966	133	8	using	use	VERB
cana-3966	133	9	accuracy	accuracy	NOUN
cana-3966	133	10	,	,	PUNCT
cana-3966	133	11	precision	precision	NOUN
cana-3966	133	12	,	,	PUNCT
cana-3966	133	13	recall	recall	NOUN
cana-3966	133	14	,	,	PUNCT
cana-3966	133	15	and	and	CCONJ
cana-3966	133	16	auc	auc	NOUN
cana-3966	133	17	-	-	PUNCT
cana-3966	133	18	roc	roc	NOUN
cana-3966	133	19	,	,	PUNCT
cana-3966	133	20	as	as	SCONJ
cana-3966	133	21	shown	show	VERB
cana-3966	133	22	in	in	ADP
cana-3966	133	23	table	table	NOUN
cana-3966	133	24	.	.	PUNCT
cana-3966	134	1	table	table	NOUN
cana-3966	134	2	1	1	NUM
cana-3966	134	3	.	.	PUNCT
cana-3966	135	1	formation	formation	NOUN
cana-3966	135	2	of	of	ADP
cana-3966	135	3	ensemble	ensemble	ADJ
cana-3966	135	4	network	network	NOUN
cana-3966	135	5	ensemble	ensemble	ADJ
cana-3966	135	6	models	model	NOUN
cana-3966	135	7	accuracy	accuracy	NOUN
cana-3966	135	8	precision	precision	NOUN
cana-3966	135	9	recall	recall	NOUN
cana-3966	135	10	dtc+rfs	dtc+rfs	PROPN
cana-3966	135	11	0.80	0.80	NUM
cana-3966	135	12	0.80	0.80	NUM
cana-3966	135	13	0.80	0.80	NUM
cana-3966	135	14	dtc+xgbc+	dtc+xgbc+	NOUN
cana-3966	135	15	svrc	svrc	NOUN
cana-3966	135	16	0.85	0.85	NUM
cana-3966	135	17	0.85	0.85	NUM
cana-3966	135	18	0.85	0.85	NUM
cana-3966	135	19	ml+dl	ml+dl	NOUN
cana-3966	135	20	ensemble	ensemble	ADJ
cana-3966	135	21	0.88	0.88	NUM
cana-3966	135	22	0.88	0.88	NUM
cana-3966	135	23	0.88	0.88	NUM
cana-3966	135	24	rfs+gbms+lr	rfs+gbms+lr	NOUN
cana-3966	135	25	0.70	0.70	NUM
cana-3966	135	26	0.70	0.70	NUM
cana-3966	135	27	0.70	0.70	NUM
cana-3966	135	28	nns+gbms+lr	nns+gbms+lr	NOUN
cana-3966	135	29	0.89	0.89	NUM
cana-3966	135	30	0.89	0.89	NUM
cana-3966	135	31	0.89	0.89	NUM
cana-3966	135	32	nns+gbms+	nns+gbms+	NOUN
cana-3966	135	33	svrc	svrc	PROPN
cana-3966	135	34	0.86	0.86	NUM
cana-3966	135	35	0.86	0.86	NUM
cana-3966	135	36	0.86	0.86	NUM
cana-3966	135	37	dtc+lr+svrc	dtc+lr+svrc	NOUN
cana-3966	135	38	(	(	PUNCT
cana-3966	135	39	proposed	propose	VERB
cana-3966	135	40	)	)	PUNCT
cana-3966	135	41	0.91	0.91	NUM
cana-3966	135	42	0.91	0.91	NUM
cana-3966	135	43	0.94	0.94	NUM
cana-3966	135	44	from	from	ADP
cana-3966	135	45	table	table	NOUN
cana-3966	135	46	1	1	NUM
cana-3966	135	47	,	,	PUNCT
cana-3966	135	48	the	the	DET
cana-3966	135	49	dtc+lr+svrc	dtc+lr+svrc	PROPN
cana-3966	135	50	ensemble	ensemble	ADJ
cana-3966	135	51	outperforms	outperform	VERB
cana-3966	135	52	other	other	ADJ
cana-3966	135	53	models	model	NOUN
cana-3966	135	54	,	,	PUNCT
cana-3966	135	55	achieving	achieve	VERB
cana-3966	135	56	an	an	DET
cana-3966	135	57	accuracy	accuracy	NOUN
cana-3966	135	58	,	,	PUNCT
cana-3966	135	59	precision	precision	NOUN
cana-3966	135	60	,	,	PUNCT
cana-3966	135	61	recall	recall	NOUN
cana-3966	135	62	,	,	PUNCT
cana-3966	135	63	of	of	ADP
cana-3966	135	64	0.91	0.91	NUM
cana-3966	135	65	,	,	PUNCT
cana-3966	135	66	0.91	0.91	NUM
cana-3966	135	67	and	and	CCONJ
cana-3966	135	68	0.94	0.94	NUM
cana-3966	135	69	respectively	respectively	ADV
cana-3966	135	70	.	.	PUNCT
cana-3966	136	1	this	this	DET
cana-3966	136	2	model	model	NOUN
cana-3966	136	3	proves	prove	VERB
cana-3966	136	4	most	most	ADV
cana-3966	136	5	effective	effective	ADJ
cana-3966	136	6	at	at	ADP
cana-3966	136	7	learning	learn	VERB
cana-3966	136	8	complex	complex	ADJ
cana-3966	136	9	patterns	pattern	NOUN
cana-3966	136	10	,	,	PUNCT
cana-3966	136	11	making	make	VERB
cana-3966	136	12	it	it	PRON
cana-3966	136	13	the	the	DET
cana-3966	136	14	chosen	choose	VERB
cana-3966	136	15	ensemble	ensemble	ADJ
cana-3966	136	16	for	for	ADP
cana-3966	136	17	our	our	PRON
cana-3966	136	18	network	network	NOUN
cana-3966	136	19	.	.	PUNCT
cana-3966	137	1	•	•	NUM
cana-3966	137	2	hyper	hyper	ADJ
cana-3966	137	3	-	-	ADJ
cana-3966	137	4	parameter	parameter	ADJ
cana-3966	137	5	tuning	tuning	NOUN
cana-3966	137	6	:	:	PUNCT
cana-3966	137	7	optimizing	optimize	VERB
cana-3966	137	8	model	model	NOUN
cana-3966	137	9	parameters	parameter	NOUN
cana-3966	137	10	are	be	AUX
cana-3966	137	11	used	use	VERB
cana-3966	137	12	to	to	PART
cana-3966	137	13	enhance	enhance	VERB
cana-3966	137	14	model	model	NOUN
cana-3966	137	15	performance	performance	NOUN
cana-3966	137	16	described	describe	VERB
cana-3966	137	17	in	in	ADP
cana-3966	137	18	table	table	NOUN
cana-3966	137	19	2	2	NUM
cana-3966	137	20	.	.	PUNCT
cana-3966	137	21	table	table	NOUN
cana-3966	137	22	2	2	NUM
cana-3966	137	23	.	.	PUNCT
cana-3966	137	24	hyper	hyper	ADJ
cana-3966	137	25	-	-	ADJ
cana-3966	137	26	parameter	parameter	NOUN
cana-3966	137	27	tuning	tuning	NOUN
cana-3966	137	28	for	for	ADP
cana-3966	137	29	ensemble	ensemble	ADJ
cana-3966	137	30	models	model	NOUN
cana-3966	137	31	ensemble	ensemble	ADJ
cana-3966	137	32	model	model	NOUN
cana-3966	137	33	model	model	PROPN
cana-3966	137	34	components	components	PROPN
cana-3966	137	35	hyper	hyper	ADJ
cana-3966	137	36	-	-	ADJ
cana-3966	137	37	parameters	parameter	NOUN
cana-3966	137	38	values	value	NOUN
cana-3966	138	1	dtc+rfs	dtc+rfs	PROPN
cana-3966	138	2	decision	decision	NOUN
cana-3966	138	3	tree	tree	NOUN
cana-3966	138	4	classifier	classifier	NOUN
cana-3966	138	5	(	(	PUNCT
cana-3966	138	6	dtc	dtc	PROPN
cana-3966	138	7	)	)	PUNCT
cana-3966	138	8	random	random	ADJ
cana-3966	138	9	forests	forest	NOUN
cana-3966	138	10	(	(	PUNCT
cana-3966	138	11	rfs	rfs	PROPN
cana-3966	138	12	)	)	PUNCT
cana-3966	138	13	criterion	criterion	NOUN
cana-3966	138	14	max	max	PROPN
cana-3966	138	15	depth	depth	NOUN
cana-3966	138	16	n	n	NOUN
cana-3966	138	17	estimators	estimator	NOUN
cana-3966	138	18	max	max	PROPN
cana-3966	138	19	features	features	PROPN
cana-3966	138	20	gini	gini	PROPN
cana-3966	138	21	,	,	PUNCT
cana-3966	138	22	entropy	entropy	NOUN
cana-3966	138	23	3	3	NUM
cana-3966	138	24	,	,	PUNCT
cana-3966	138	25	5	5	NUM
cana-3966	138	26	,	,	PUNCT
cana-3966	138	27	10	10	NUM
cana-3966	138	28	100	100	NUM
cana-3966	138	29	,	,	PUNCT
cana-3966	138	30	200	200	NUM
cana-3966	138	31	auto	auto	NOUN
cana-3966	138	32	,	,	PUNCT
cana-3966	138	33	log2	log2	PROPN
cana-3966	138	34	dtc+xgbc+svrc	dtc+xgbc+svrc	PROPN
cana-3966	138	35	xgboost	xgboost	ADV
cana-3966	138	36	classifier	classifier	PROPN
cana-3966	138	37	(	(	PUNCT
cana-3966	138	38	xgbc	xgbc	PROPN
cana-3966	138	39	)	)	PUNCT
cana-3966	138	40	support	support	NOUN
cana-3966	138	41	vector	vector	NOUN
cana-3966	138	42	classifier	classifier	NOUN
cana-3966	138	43	(	(	PUNCT
cana-3966	138	44	svrc	svrc	PROPN
cana-3966	138	45	)	)	PUNCT
cana-3966	138	46	learning	learn	VERB
cana-3966	138	47	rate	rate	NOUN
cana-3966	138	48	max	max	PROPN
cana-3966	138	49	depth	depth	NOUN
cana-3966	138	50	kernel	kernel	NOUN
cana-3966	138	51	c	c	NOUN
cana-3966	138	52	0.01	0.01	NUM
cana-3966	138	53	,	,	PUNCT
cana-3966	138	54	0.1	0.1	NUM
cana-3966	138	55	3	3	NUM
cana-3966	138	56	,	,	PUNCT
cana-3966	138	57	5	5	NUM
cana-3966	138	58	,	,	PUNCT
cana-3966	138	59	7	7	NUM
cana-3966	138	60	linear	linear	NOUN
cana-3966	138	61	,	,	PUNCT
cana-3966	138	62	rbf	rbf	PROPN
cana-3966	138	63	0.1	0.1	NUM
cana-3966	138	64	,	,	PUNCT
cana-3966	138	65	1	1	NUM
cana-3966	138	66	,	,	PUNCT
cana-3966	138	67	10	10	NUM
cana-3966	138	68	rfs+gbms+lr	rfs+gbms+lr	NOUN
cana-3966	138	69	gradient	gradient	NOUN
cana-3966	138	70	boosting	boost	VERB
cana-3966	138	71	machines	machine	NOUN
cana-3966	138	72	(	(	PUNCT
cana-3966	138	73	gbms	gbms	NOUN
cana-3966	138	74	)	)	PUNCT
cana-3966	138	75	logistic	logistic	ADJ
cana-3966	138	76	regression	regression	NOUN
cana-3966	138	77	(	(	PUNCT
cana-3966	138	78	lr	lr	NOUN
cana-3966	138	79	)	)	PUNCT
cana-3966	138	80	learning	learn	VERB
cana-3966	138	81	rate	rate	NOUN
cana-3966	138	82	n	n	PRON
cana-3966	138	83	estimators	estimator	NOUN
cana-3966	138	84	penalty	penalty	NOUN
cana-3966	138	85	c	c	NOUN
cana-3966	138	86	0.01	0.01	NUM
cana-3966	138	87	,	,	PUNCT
cana-3966	138	88	0.1	0.1	NUM
cana-3966	138	89	100	100	NUM
cana-3966	138	90	,	,	PUNCT
cana-3966	138	91	200	200	NUM
cana-3966	138	92	l2	l2	NOUN
cana-3966	138	93	0.1	0.1	NUM
cana-3966	138	94	,	,	PUNCT
cana-3966	138	95	1	1	NUM
cana-3966	138	96	,	,	PUNCT
cana-3966	138	97	10	10	NUM
cana-3966	138	98	communications	communication	NOUN
cana-3966	138	99	on	on	ADP
cana-3966	138	100	applied	apply	VERB
cana-3966	138	101	nonlinear	nonlinear	ADJ
cana-3966	138	102	analysis	analysis	NOUN
cana-3966	138	103	issn	issn	NOUN
cana-3966	138	104	:	:	PUNCT
cana-3966	138	105	1074	1074	NUM
cana-3966	138	106	-	-	PUNCT
cana-3966	138	107	133x	133x	NUM
cana-3966	138	108	vol	vol	NOUN
cana-3966	138	109	32	32	NUM
cana-3966	138	110	no	no	NOUN
cana-3966	138	111	.	.	PUNCT
cana-3966	139	1	9s	9s	NUM
cana-3966	139	2	(	(	PUNCT
cana-3966	139	3	2025	2025	NUM
cana-3966	139	4	)	)	PUNCT
cana-3966	139	5	596	596	NUM
cana-3966	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	139	7	nns+gbms+lr	nns+gbms+lr	NOUN
cana-3966	139	8	neural	neural	ADJ
cana-3966	139	9	networks	network	NOUN
cana-3966	139	10	(	(	PUNCT
cana-3966	139	11	nns	nn	NOUN
cana-3966	139	12	)	)	PUNCT
cana-3966	139	13	gradient	gradient	NOUN
cana-3966	139	14	boosting	boost	VERB
cana-3966	139	15	machines	machine	NOUN
cana-3966	139	16	(	(	PUNCT
cana-3966	139	17	gbms	gbms	NOUN
cana-3966	139	18	)	)	PUNCT
cana-3966	139	19	hidden	hide	VERB
cana-3966	139	20	layers	layer	NOUN
cana-3966	139	21	activation	activation	NOUN
cana-3966	139	22	learning	learn	VERB
cana-3966	139	23	rate	rate	NOUN
cana-3966	139	24	n	n	PRON
cana-3966	139	25	estimators	estimator	NOUN
cana-3966	139	26	1	1	NUM
cana-3966	139	27	,	,	PUNCT
cana-3966	139	28	2	2	NUM
cana-3966	139	29	,	,	PUNCT
cana-3966	139	30	3	3	NUM
cana-3966	139	31	relu	relu	NOUN
cana-3966	139	32	,	,	PUNCT
cana-3966	139	33	sigmoid	sigmoid	NOUN
cana-3966	139	34	0.01	0.01	NUM
cana-3966	139	35	,	,	PUNCT
cana-3966	139	36	0.1	0.1	NUM
cana-3966	139	37	100	100	NUM
cana-3966	139	38	,	,	PUNCT
cana-3966	139	39	200	200	NUM
cana-3966	139	40	nns+gbms+svrc	nns+gbms+svrc	NOUN
cana-3966	139	41	neural	neural	ADJ
cana-3966	139	42	networks	network	NOUN
cana-3966	139	43	(	(	PUNCT
cana-3966	139	44	nns	nn	NOUN
cana-3966	139	45	)	)	PUNCT
cana-3966	139	46	support	support	NOUN
cana-3966	139	47	vector	vector	NOUN
cana-3966	139	48	classifier	classifier	NOUN
cana-3966	139	49	(	(	PUNCT
cana-3966	139	50	svrc	svrc	PROPN
cana-3966	139	51	)	)	PUNCT
cana-3966	139	52	hidden	hide	VERB
cana-3966	139	53	layers	layer	NOUN
cana-3966	139	54	activation	activation	NOUN
cana-3966	139	55	kernel	kernel	NOUN
cana-3966	139	56	c	c	PROPN
cana-3966	139	57	1	1	NUM
cana-3966	139	58	,	,	PUNCT
cana-3966	139	59	2	2	NUM
cana-3966	139	60	,	,	PUNCT
cana-3966	139	61	3	3	NUM
cana-3966	139	62	relu	relu	NOUN
cana-3966	139	63	,	,	PUNCT
cana-3966	139	64	sigmoid	sigmoid	NOUN
cana-3966	139	65	linear	linear	PROPN
cana-3966	139	66	,	,	PUNCT
cana-3966	139	67	rbf	rbf	PROPN
cana-3966	139	68	0.1	0.1	NUM
cana-3966	139	69	,	,	PUNCT
cana-3966	139	70	1	1	NUM
cana-3966	139	71	,	,	PUNCT
cana-3966	139	72	10	10	NUM
cana-3966	139	73	dtc+lr+svrc	dtc+lr+svrc	PRON
cana-3966	139	74	decision	decision	NOUN
cana-3966	139	75	tree	tree	NOUN
cana-3966	139	76	classifier	classifier	NOUN
cana-3966	139	77	(	(	PUNCT
cana-3966	139	78	dtc	dtc	PROPN
cana-3966	139	79	)	)	PUNCT
cana-3966	139	80	logistic	logistic	ADJ
cana-3966	139	81	regression	regression	NOUN
cana-3966	139	82	(	(	PUNCT
cana-3966	139	83	lr	lr	NOUN
cana-3966	139	84	)	)	PUNCT
cana-3966	139	85	support	support	NOUN
cana-3966	139	86	vector	vector	NOUN
cana-3966	139	87	classifier	classifier	NOUN
cana-3966	139	88	(	(	PUNCT
cana-3966	139	89	svrc	svrc	PROPN
cana-3966	139	90	)	)	PUNCT
cana-3966	139	91	criterion	criterion	NOUN
cana-3966	139	92	max	max	PROPN
cana-3966	139	93	depth	depth	NOUN
cana-3966	139	94	penalty	penalty	NOUN
cana-3966	139	95	c	c	PROPN
cana-3966	139	96	kernel	kernel	PROPN
cana-3966	139	97	c	c	PROPN
cana-3966	139	98	gini	gini	PROPN
cana-3966	139	99	,	,	PUNCT
cana-3966	139	100	entropy	entropy	VERB
cana-3966	139	101	3,5,10	3,5,10	DET
cana-3966	139	102	l2	l2	NOUN
cana-3966	139	103	0.1,1,10	0.1,1,10	NOUN
cana-3966	139	104	linear	linear	NOUN
cana-3966	139	105	,	,	PUNCT
cana-3966	139	106	rbf	rbf	PROPN
cana-3966	139	107	0.1,1,10	0.1,1,10	PROPN
cana-3966	139	108	•	•	NUM
cana-3966	139	109	cross	cross	NOUN
cana-3966	139	110	-	-	NOUN
cana-3966	139	111	validation	validation	NOUN
cana-3966	139	112	:	:	PUNCT
cana-3966	139	113	implementing	implement	VERB
cana-3966	139	114	5	5	NUM
cana-3966	139	115	-	-	ADJ
cana-3966	139	116	fold	fold	ADJ
cana-3966	139	117	cross	cross	NOUN
cana-3966	139	118	-	-	NOUN
cana-3966	139	119	validation	validation	NOUN
cana-3966	139	120	to	to	PART
cana-3966	139	121	ensure	ensure	VERB
cana-3966	139	122	the	the	DET
cana-3966	139	123	model	model	NOUN
cana-3966	139	124	generalizes	generalize	VERB
cana-3966	139	125	well	well	ADV
cana-3966	139	126	to	to	ADP
cana-3966	139	127	unseen	unseen	ADJ
cana-3966	139	128	data	datum	NOUN
cana-3966	139	129	and	and	CCONJ
cana-3966	139	130	to	to	PART
cana-3966	139	131	avoid	avoid	VERB
cana-3966	139	132	overfitting	overfitte	VERB
cana-3966	139	133	.	.	PUNCT
cana-3966	140	1	3.4.4	3.4.4	X
cana-3966	140	2	.	.	PUNCT
cana-3966	140	3	risk	risk	NOUN
cana-3966	140	4	stratification	stratification	NOUN
cana-3966	140	5	risk	risk	NOUN
cana-3966	140	6	stratification	stratification	NOUN
cana-3966	140	7	categorizes	categorize	VERB
cana-3966	140	8	patients	patient	NOUN
cana-3966	140	9	into	into	ADP
cana-3966	140	10	different	different	ADJ
cana-3966	140	11	risk	risk	NOUN
cana-3966	140	12	levels	level	NOUN
cana-3966	140	13	based	base	VERB
cana-3966	140	14	on	on	ADP
cana-3966	140	15	predicted	predict	VERB
cana-3966	140	16	probabilities	probability	NOUN
cana-3966	140	17	:	:	PUNCT
cana-3966	140	18	•	•	NUM
cana-3966	140	19	probability	probability	NOUN
cana-3966	140	20	estimation	estimation	NOUN
cana-3966	140	21	:	:	PUNCT
cana-3966	140	22	the	the	DET
cana-3966	140	23	final	final	ADJ
cana-3966	140	24	model	model	NOUN
cana-3966	140	25	predicts	predict	VERB
cana-3966	140	26	the	the	DET
cana-3966	140	27	probability	probability	NOUN
cana-3966	140	28	of	of	ADP
cana-3966	140	29	hf	hf	NOUN
cana-3966	140	30	for	for	ADP
cana-3966	140	31	each	each	DET
cana-3966	140	32	patient	patient	NOUN
cana-3966	140	33	.	.	PUNCT
cana-3966	141	1	•	•	NUM
cana-3966	141	2	threshold	threshold	NOUN
cana-3966	141	3	selection	selection	NOUN
cana-3966	141	4	:	:	PUNCT
cana-3966	141	5	defining	define	VERB
cana-3966	141	6	risk	risk	NOUN
cana-3966	141	7	thresholds	threshold	NOUN
cana-3966	141	8	to	to	PART
cana-3966	141	9	classify	classify	VERB
cana-3966	141	10	patients	patient	NOUN
cana-3966	141	11	into	into	ADP
cana-3966	141	12	categories	category	NOUN
cana-3966	141	13	such	such	ADJ
cana-3966	141	14	as	as	ADP
cana-3966	141	15	low	low	ADJ
cana-3966	141	16	,	,	PUNCT
cana-3966	141	17	medium	medium	ADJ
cana-3966	141	18	,	,	PUNCT
cana-3966	141	19	and	and	CCONJ
cana-3966	141	20	high	high	ADJ
cana-3966	141	21	risk	risk	NOUN
cana-3966	141	22	.	.	PUNCT
cana-3966	142	1	this	this	PRON
cana-3966	142	2	is	be	AUX
cana-3966	142	3	done	do	VERB
cana-3966	142	4	based	base	VERB
cana-3966	142	5	on	on	ADP
cana-3966	142	6	clinical	clinical	ADJ
cana-3966	142	7	guidelines	guideline	NOUN
cana-3966	142	8	and	and	CCONJ
cana-3966	142	9	performance	performance	NOUN
cana-3966	142	10	metrics	metric	NOUN
cana-3966	142	11	.	.	PUNCT
cana-3966	143	1	•	•	NUM
cana-3966	143	2	risk	risk	NOUN
cana-3966	143	3	categorization	categorization	NOUN
cana-3966	143	4	:	:	PUNCT
cana-3966	143	5	assigning	assign	VERB
cana-3966	143	6	patients	patient	NOUN
cana-3966	143	7	to	to	PART
cana-3966	143	8	risk	risk	VERB
cana-3966	143	9	categories	category	NOUN
cana-3966	143	10	based	base	VERB
cana-3966	143	11	on	on	ADP
cana-3966	143	12	the	the	DET
cana-3966	143	13	predicted	predict	VERB
cana-3966	143	14	probabilities	probability	NOUN
cana-3966	143	15	and	and	CCONJ
cana-3966	143	16	thresholds	threshold	NOUN
cana-3966	143	17	.	.	PUNCT
cana-3966	144	1	3.4.5	3.4.5	X
cana-3966	144	2	.	.	PUNCT
cana-3966	144	3	evaluation	evaluation	NOUN
cana-3966	144	4	and	and	CCONJ
cana-3966	144	5	validation	validation	NOUN
cana-3966	144	6	the	the	DET
cana-3966	144	7	proposed	propose	VERB
cana-3966	144	8	methodology	methodology	NOUN
cana-3966	144	9	includes	include	VERB
cana-3966	144	10	rigorous	rigorous	ADJ
cana-3966	144	11	evaluation	evaluation	NOUN
cana-3966	144	12	and	and	CCONJ
cana-3966	144	13	validation	validation	NOUN
cana-3966	144	14	to	to	PART
cana-3966	144	15	ensure	ensure	VERB
cana-3966	144	16	reliability	reliability	NOUN
cana-3966	144	17	:	:	PUNCT
cana-3966	144	18	•	•	NUM
cana-3966	144	19	model	model	NOUN
cana-3966	144	20	evaluation	evaluation	NOUN
cana-3966	144	21	:	:	PUNCT
cana-3966	144	22	assessing	assess	VERB
cana-3966	144	23	model	model	NOUN
cana-3966	144	24	performance	performance	NOUN
cana-3966	144	25	using	use	VERB
cana-3966	144	26	evaluation	evaluation	NOUN
cana-3966	144	27	metrics	metric	NOUN
cana-3966	144	28	such	such	ADJ
cana-3966	144	29	as	as	ADP
cana-3966	144	30	accuracy	accuracy	NOUN
cana-3966	144	31	,	,	PUNCT
cana-3966	144	32	precision	precision	NOUN
cana-3966	144	33	,	,	PUNCT
cana-3966	144	34	recall	recall	NOUN
cana-3966	144	35	,	,	PUNCT
cana-3966	144	36	f1	f1	NOUN
cana-3966	144	37	-	-	PUNCT
cana-3966	144	38	score	score	NOUN
cana-3966	144	39	,	,	PUNCT
cana-3966	144	40	and	and	CCONJ
cana-3966	144	41	auc	auc	NOUN
cana-3966	144	42	-	-	PUNCT
cana-3966	144	43	roc	roc	NOUN
cana-3966	144	44	.	.	PROPN
cana-3966	144	45	•	•	PROPN
cana-3966	144	46	performance	performance	NOUN
cana-3966	144	47	comparison	comparison	NOUN
cana-3966	144	48	:	:	PUNCT
cana-3966	144	49	comparing	compare	VERB
cana-3966	144	50	the	the	DET
cana-3966	144	51	proposed	propose	VERB
cana-3966	144	52	model	model	NOUN
cana-3966	144	53	’s	’s	PART
cana-3966	144	54	performance	performance	NOUN
cana-3966	144	55	with	with	ADP
cana-3966	144	56	existing	exist	VERB
cana-3966	144	57	models	model	NOUN
cana-3966	144	58	to	to	PART
cana-3966	144	59	demonstrate	demonstrate	VERB
cana-3966	144	60	improvements	improvement	NOUN
cana-3966	144	61	.	.	PUNCT
cana-3966	145	1	•	•	NUM
cana-3966	145	2	sensitivity	sensitivity	NOUN
cana-3966	145	3	analysis	analysis	NOUN
cana-3966	145	4	:	:	PUNCT
cana-3966	145	5	analysing	analyse	VERB
cana-3966	145	6	how	how	SCONJ
cana-3966	145	7	changes	change	NOUN
cana-3966	145	8	in	in	ADP
cana-3966	145	9	input	input	NOUN
cana-3966	145	10	features	feature	NOUN
cana-3966	145	11	affect	affect	VERB
cana-3966	145	12	predictions	prediction	NOUN
cana-3966	145	13	to	to	PART
cana-3966	145	14	ensure	ensure	VERB
cana-3966	145	15	model	model	NOUN
cana-3966	145	16	robustness	robustness	NOUN
cana-3966	145	17	.	.	PUNCT
cana-3966	146	1	3.4.6	3.4.6	X
cana-3966	146	2	.	.	PUNCT
cana-3966	147	1	implementation	implementation	NOUN
cana-3966	147	2	and	and	CCONJ
cana-3966	147	3	deployment	deployment	NOUN
cana-3966	147	4	the	the	DET
cana-3966	147	5	final	final	ADJ
cana-3966	147	6	model	model	NOUN
cana-3966	147	7	is	be	AUX
cana-3966	147	8	embedded	embed	VERB
cana-3966	147	9	in	in	ADP
cana-3966	147	10	a	a	DET
cana-3966	147	11	clinical	clinical	ADJ
cana-3966	147	12	decision	decision	NOUN
cana-3966	147	13	support	support	NOUN
cana-3966	147	14	system	system	NOUN
cana-3966	147	15	,	,	PUNCT
cana-3966	147	16	integrated	integrate	VERB
cana-3966	147	17	with	with	ADP
cana-3966	147	18	ehrs	ehrs	PROPN
cana-3966	147	19	for	for	ADP
cana-3966	147	20	real	real	ADJ
cana-3966	147	21	-	-	PUNCT
cana-3966	147	22	time	time	NOUN
cana-3966	147	23	risk	risk	NOUN
cana-3966	147	24	assessment	assessment	NOUN
cana-3966	147	25	.	.	PUNCT
cana-3966	148	1	it	it	PRON
cana-3966	148	2	features	feature	VERB
cana-3966	148	3	a	a	DET
cana-3966	148	4	user	user	NOUN
cana-3966	148	5	-	-	PUNCT
cana-3966	148	6	friendly	friendly	ADJ
cana-3966	148	7	interface	interface	NOUN
cana-3966	148	8	for	for	ADP
cana-3966	148	9	data	datum	NOUN
cana-3966	148	10	input	input	NOUN
cana-3966	148	11	and	and	CCONJ
cana-3966	148	12	risk	risk	NOUN
cana-3966	148	13	evaluation	evaluation	NOUN
cana-3966	148	14	,	,	PUNCT
cana-3966	148	15	and	and	CCONJ
cana-3966	148	16	is	be	AUX
cana-3966	148	17	continuously	continuously	ADV
cana-3966	148	18	updated	update	VERB
cana-3966	148	19	to	to	PART
cana-3966	148	20	ensure	ensure	VERB
cana-3966	148	21	accuracy	accuracy	NOUN
cana-3966	148	22	.	.	PUNCT
cana-3966	149	1	this	this	DET
cana-3966	149	2	approach	approach	NOUN
cana-3966	149	3	enhances	enhance	VERB
cana-3966	149	4	hf	hf	ADP
cana-3966	149	5	prediction	prediction	NOUN
cana-3966	149	6	and	and	CCONJ
cana-3966	149	7	management	management	NOUN
cana-3966	149	8	through	through	ADP
cana-3966	149	9	advanced	advanced	ADJ
cana-3966	149	10	analytics	analytic	NOUN
cana-3966	149	11	and	and	CCONJ
cana-3966	149	12	risk	risk	NOUN
cana-3966	149	13	stratification	stratification	NOUN
cana-3966	149	14	.	.	PUNCT
cana-3966	150	1	communications	communication	NOUN
cana-3966	150	2	on	on	ADP
cana-3966	150	3	applied	apply	VERB
cana-3966	150	4	nonlinear	nonlinear	ADJ
cana-3966	150	5	analysis	analysis	NOUN
cana-3966	150	6	issn	issn	NOUN
cana-3966	150	7	:	:	PUNCT
cana-3966	150	8	1074	1074	NUM
cana-3966	150	9	-	-	PUNCT
cana-3966	150	10	133x	133x	NUM
cana-3966	150	11	vol	vol	NOUN
cana-3966	150	12	32	32	NUM
cana-3966	150	13	no	no	NOUN
cana-3966	150	14	.	.	PUNCT
cana-3966	151	1	9s	9s	NUM
cana-3966	151	2	(	(	PUNCT
cana-3966	151	3	2025	2025	NUM
cana-3966	151	4	)	)	PUNCT
cana-3966	151	5	597	597	NUM
cana-3966	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	151	7	4	4	NUM
cana-3966	151	8	.	.	NOUN
cana-3966	151	9	results	result	NOUN
cana-3966	151	10	and	and	CCONJ
cana-3966	151	11	discussion	discussion	NOUN
cana-3966	151	12	to	to	PART
cana-3966	151	13	evaluate	evaluate	VERB
cana-3966	151	14	the	the	DET
cana-3966	151	15	performance	performance	NOUN
cana-3966	151	16	of	of	ADP
cana-3966	151	17	the	the	DET
cana-3966	151	18	proposed	propose	VERB
cana-3966	151	19	model	model	NOUN
cana-3966	151	20	,	,	PUNCT
cana-3966	151	21	this	this	DET
cana-3966	151	22	study	study	NOUN
cana-3966	151	23	compares	compare	VERB
cana-3966	151	24	its	its	PRON
cana-3966	151	25	performance	performance	NOUN
cana-3966	151	26	with	with	ADP
cana-3966	151	27	various	various	ADJ
cana-3966	151	28	other	other	ADJ
cana-3966	151	29	ml	ml	NOUN
cana-3966	151	30	and	and	CCONJ
cana-3966	151	31	dl	dl	PROPN
cana-3966	151	32	models	model	NOUN
cana-3966	151	33	.	.	PUNCT
cana-3966	152	1	these	these	DET
cana-3966	152	2	models	model	NOUN
cana-3966	152	3	include	include	VERB
cana-3966	152	4	,	,	PUNCT
cana-3966	152	5	gradient	gradient	ADJ
cana-3966	152	6	boosting	boost	VERB
cana-3966	152	7	classifier	classifier	NOUN
cana-3966	152	8	(	(	PUNCT
cana-3966	152	9	gbc	gbc	PROPN
cana-3966	152	10	)	)	PUNCT
cana-3966	153	1	[	[	X
cana-3966	153	2	23	23	NUM
cana-3966	153	3	]	]	X
cana-3966	153	4	,	,	PUNCT
cana-3966	153	5	random	random	ADJ
cana-3966	153	6	forest	forest	NOUN
cana-3966	153	7	(	(	PUNCT
cana-3966	153	8	rf	rf	NOUN
cana-3966	153	9	)	)	PUNCT
cana-3966	154	1	[	[	X
cana-3966	154	2	24	24	NUM
cana-3966	154	3	]	]	PUNCT
cana-3966	154	4	,	,	PUNCT
cana-3966	154	5	hybrid	hybrid	ADJ
cana-3966	154	6	bagging	bagging	NOUN
cana-3966	154	7	&	&	CCONJ
cana-3966	154	8	boosting	boost	VERB
cana-3966	154	9	classifier	classifier	NOUN
cana-3966	154	10	(	(	PUNCT
cana-3966	154	11	hbbc	hbbc	PROPN
cana-3966	154	12	)	)	PUNCT
cana-3966	155	1	[	[	X
cana-3966	155	2	25	25	NUM
cana-3966	155	3	]	]	PUNCT
cana-3966	155	4	,	,	PUNCT
cana-3966	155	5	decision	decision	NOUN
cana-3966	155	6	tree	tree	NOUN
cana-3966	155	7	classifier	classifier	NOUN
cana-3966	155	8	(	(	PUNCT
cana-3966	155	9	dtc	dtc	PROPN
cana-3966	155	10	)	)	PUNCT
cana-3966	156	1	[	[	X
cana-3966	156	2	26	26	NUM
cana-3966	156	3	]	]	PUNCT
cana-3966	156	4	,	,	PUNCT
cana-3966	156	5	and	and	CCONJ
cana-3966	156	6	support	support	VERB
cana-3966	156	7	vector	vector	NOUN
cana-3966	156	8	machines(svms	machines(svms	NOUN
cana-3966	156	9	)	)	PUNCT
cana-3966	157	1	[	[	X
cana-3966	157	2	27	27	NUM
cana-3966	157	3	]	]	PUNCT
cana-3966	157	4	.	.	PUNCT
cana-3966	158	1	4.1	4.1	NUM
cana-3966	158	2	.	.	PUNCT
cana-3966	158	3	model	model	NOUN
cana-3966	158	4	evaluation	evaluation	NOUN
cana-3966	158	5	the	the	DET
cana-3966	158	6	evaluation	evaluation	NOUN
cana-3966	158	7	of	of	ADP
cana-3966	158	8	the	the	DET
cana-3966	158	9	proposed	propose	VERB
cana-3966	158	10	model	model	NOUN
cana-3966	158	11	is	be	AUX
cana-3966	158	12	conducted	conduct	VERB
cana-3966	158	13	using	use	VERB
cana-3966	158	14	the	the	DET
cana-3966	158	15	metrics	metric	NOUN
cana-3966	158	16	of	of	ADP
cana-3966	158	17	accuracy	accuracy	NOUN
cana-3966	158	18	,	,	PUNCT
cana-3966	158	19	precision	precision	NOUN
cana-3966	158	20	,	,	PUNCT
cana-3966	158	21	recall	recall	NOUN
cana-3966	158	22	,	,	PUNCT
cana-3966	158	23	f1	f1	NOUN
cana-3966	158	24	-	-	PUNCT
cana-3966	158	25	score	score	NOUN
cana-3966	158	26	,	,	PUNCT
cana-3966	158	27	and	and	CCONJ
cana-3966	158	28	auc	auc	NOUN
cana-3966	158	29	-	-	PUNCT
cana-3966	158	30	roc	roc	NOUN
cana-3966	158	31	as	as	SCONJ
cana-3966	158	32	follows	follow	VERB
cana-3966	158	33	:	:	PUNCT
cana-3966	159	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-3966	159	2	=	=	X
cana-3966	159	3	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
cana-3966	159	4	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
cana-3966	159	5	(	(	PUNCT
cana-3966	159	6	9	9	X
cana-3966	159	7	)	)	PUNCT
cana-3966	159	8	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-3966	159	9	=	=	SYM
cana-3966	159	10	𝑇𝑃	𝑇𝑃	PROPN
cana-3966	159	11	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
cana-3966	159	12	(	(	PUNCT
cana-3966	159	13	10	10	NUM
cana-3966	159	14	)	)	PUNCT
cana-3966	159	15	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3966	159	16	=	=	SYM
cana-3966	159	17	𝑇𝑃	𝑇𝑃	NOUN
cana-3966	159	18	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-3966	159	19	(	(	PUNCT
cana-3966	159	20	11	11	NUM
cana-3966	159	21	)	)	PUNCT
cana-3966	159	22	𝐹1	𝐹1	NOUN
cana-3966	159	23	−	−	PROPN
cana-3966	159	24	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-3966	159	25	=	=	NOUN
cana-3966	159	26	2	2	NUM
cana-3966	159	27	∙	∙	PROPN
cana-3966	159	28	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛.𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛.𝑅𝑒𝑐𝑎𝑙𝑙	NOUN
cana-3966	159	29	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	NOUN
cana-3966	159	30	(	(	PUNCT
cana-3966	159	31	12	12	NUM
cana-3966	159	32	)	)	PUNCT
cana-3966	159	33	𝐴𝑈𝐶	𝐴𝑈𝐶	NOUN
cana-3966	159	34	−	−	NOUN
cana-3966	160	1	𝑅𝑂𝐶	𝑅𝑂𝐶	PROPN
cana-3966	160	2	=	=	SYM
cana-3966	160	3	∫	∫	PROPN
cana-3966	160	4	𝑇𝑃𝑅	𝑇𝑃𝑅	PROPN
cana-3966	160	5	𝑑(𝐹𝑃𝑅	𝑑(𝐹𝑃𝑅	PROPN
cana-3966	160	6	)	)	PUNCT
cana-3966	160	7	1	1	NUM
cana-3966	160	8	0	0	NUM
cana-3966	160	9	(	(	PUNCT
cana-3966	160	10	13	13	NUM
cana-3966	160	11	)	)	PUNCT
cana-3966	160	12	𝐹𝑃𝑅	𝐹𝑃𝑅	PROPN
cana-3966	160	13	=	=	SYM
cana-3966	160	14	𝐹𝑃	𝐹𝑃	PROPN
cana-3966	160	15	𝐹𝑃+𝑇𝑁	𝐹𝑃+𝑇𝑁	X
cana-3966	160	16	(	(	PUNCT
cana-3966	160	17	14	14	NUM
cana-3966	160	18	)	)	PUNCT
cana-3966	160	19	where	where	SCONJ
cana-3966	160	20	,	,	PUNCT
cana-3966	160	21	tp	tp	PROPN
cana-3966	160	22	,	,	PUNCT
cana-3966	160	23	tn	tn	PROPN
cana-3966	160	24	,	,	PUNCT
cana-3966	160	25	fp	fp	X
cana-3966	160	26	,	,	PUNCT
cana-3966	160	27	fn	fn	PROPN
cana-3966	160	28	,	,	PUNCT
cana-3966	160	29	tpr	tpr	PROPN
cana-3966	160	30	,	,	PUNCT
cana-3966	160	31	fpr	fpr	NOUN
cana-3966	160	32	represent	represent	VERB
cana-3966	160	33	true	true	ADJ
cana-3966	160	34	positives	positive	NOUN
cana-3966	160	35	,	,	PUNCT
cana-3966	160	36	true	true	ADJ
cana-3966	160	37	negatives	negative	NOUN
cana-3966	160	38	,	,	PUNCT
cana-3966	160	39	false	false	ADJ
cana-3966	160	40	positives	positive	NOUN
cana-3966	160	41	,	,	PUNCT
cana-3966	160	42	false	false	ADJ
cana-3966	160	43	negatives	negative	NOUN
cana-3966	160	44	,	,	PUNCT
cana-3966	160	45	true	true	ADJ
cana-3966	160	46	positive	positive	ADJ
cana-3966	160	47	rate	rate	NOUN
cana-3966	160	48	(	(	PUNCT
cana-3966	160	49	recall	recall	NOUN
cana-3966	160	50	)	)	PUNCT
cana-3966	160	51	,	,	PUNCT
cana-3966	160	52	false	false	ADJ
cana-3966	160	53	positive	positive	ADJ
cana-3966	160	54	rate	rate	NOUN
cana-3966	160	55	,	,	PUNCT
cana-3966	160	56	respectively	respectively	ADV
cana-3966	160	57	.	.	PUNCT
cana-3966	161	1	4.2	4.2	NUM
cana-3966	161	2	.	.	PUNCT
cana-3966	162	1	analysis	analysis	NOUN
cana-3966	162	2	of	of	ADP
cana-3966	162	3	heart	heart	NOUN
cana-3966	162	4	failure	failure	NOUN
cana-3966	162	5	figure	figure	NOUN
cana-3966	162	6	2	2	NUM
cana-3966	162	7	compares	compare	VERB
cana-3966	162	8	the	the	DET
cana-3966	162	9	mean	mean	ADJ
cana-3966	162	10	values	value	NOUN
cana-3966	162	11	of	of	ADP
cana-3966	162	12	various	various	ADJ
cana-3966	162	13	features	feature	NOUN
cana-3966	162	14	between	between	ADP
cana-3966	162	15	two	two	NUM
cana-3966	162	16	groups	group	NOUN
cana-3966	162	17	:	:	PUNCT
cana-3966	162	18	those	those	PRON
cana-3966	162	19	who	who	PRON
cana-3966	162	20	experienced	experience	VERB
cana-3966	162	21	a	a	DET
cana-3966	162	22	death	death	NOUN
cana-3966	162	23	event	event	NOUN
cana-3966	162	24	and	and	CCONJ
cana-3966	162	25	those	those	PRON
cana-3966	162	26	who	who	PRON
cana-3966	162	27	did	do	VERB
cana-3966	162	28	not	not	PART
cana-3966	162	29	.	.	PUNCT
cana-3966	163	1	the	the	DET
cana-3966	163	2	heatmap	heatmap	NOUN
cana-3966	163	3	make	make	VERB
cana-3966	163	4	it	it	PRON
cana-3966	163	5	easy	easy	ADJ
cana-3966	163	6	to	to	PART
cana-3966	163	7	visually	visually	ADV
cana-3966	163	8	compare	compare	VERB
cana-3966	163	9	the	the	DET
cana-3966	163	10	average	average	ADJ
cana-3966	163	11	values	value	NOUN
cana-3966	163	12	of	of	ADP
cana-3966	163	13	features	feature	NOUN
cana-3966	163	14	between	between	ADP
cana-3966	163	15	the	the	DET
cana-3966	163	16	two	two	NUM
cana-3966	163	17	groups	group	NOUN
cana-3966	163	18	,	,	PUNCT
cana-3966	163	19	using	use	VERB
cana-3966	163	20	a	a	DET
cana-3966	163	21	color	color	NOUN
cana-3966	163	22	gradient	gradient	NOUN
cana-3966	163	23	where	where	SCONJ
cana-3966	163	24	one	one	NUM
cana-3966	163	25	color	color	NOUN
cana-3966	163	26	represents	represent	VERB
cana-3966	163	27	higher	high	ADJ
cana-3966	163	28	values	value	NOUN
cana-3966	163	29	and	and	CCONJ
cana-3966	163	30	another	another	PRON
cana-3966	163	31	represents	represent	VERB
cana-3966	163	32	lower	low	ADJ
cana-3966	163	33	values	value	NOUN
cana-3966	163	34	.	.	PUNCT
cana-3966	164	1	figure	figure	NOUN
cana-3966	164	2	2	2	NUM
cana-3966	164	3	.	.	PUNCT
cana-3966	164	4	death	death	NOUN
cana-3966	164	5	occurrence	occurrence	NOUN
cana-3966	164	6	due	due	ADP
cana-3966	164	7	to	to	ADP
cana-3966	164	8	heart	heart	NOUN
cana-3966	164	9	failure	failure	NOUN
cana-3966	164	10	figure	figure	NOUN
cana-3966	164	11	3	3	NUM
cana-3966	164	12	.	.	PUNCT
cana-3966	165	1	and	and	CCONJ
cana-3966	165	2	figure	figure	VERB
cana-3966	165	3	4	4	NUM
cana-3966	165	4	.	.	PUNCT
cana-3966	166	1	depict	depict	VERB
cana-3966	166	2	the	the	DET
cana-3966	166	3	distribution	distribution	NOUN
cana-3966	166	4	of	of	ADP
cana-3966	166	5	different	different	ADJ
cana-3966	166	6	categorical	categorical	ADJ
cana-3966	166	7	and	and	CCONJ
cana-3966	166	8	numerical	numerical	ADJ
cana-3966	166	9	features	feature	NOUN
cana-3966	166	10	of	of	ADP
cana-3966	166	11	the	the	DET
cana-3966	166	12	used	use	VERB
cana-3966	166	13	dataset	dataset	NOUN
cana-3966	166	14	.	.	PUNCT
cana-3966	167	1	communications	communication	NOUN
cana-3966	167	2	on	on	ADP
cana-3966	167	3	applied	apply	VERB
cana-3966	167	4	nonlinear	nonlinear	ADJ
cana-3966	167	5	analysis	analysis	NOUN
cana-3966	167	6	issn	issn	NOUN
cana-3966	167	7	:	:	PUNCT
cana-3966	167	8	1074	1074	NUM
cana-3966	167	9	-	-	PUNCT
cana-3966	167	10	133x	133x	NUM
cana-3966	167	11	vol	vol	NOUN
cana-3966	167	12	32	32	NUM
cana-3966	167	13	no	no	NOUN
cana-3966	167	14	.	.	PUNCT
cana-3966	168	1	9s	9s	NUM
cana-3966	168	2	(	(	PUNCT
cana-3966	168	3	2025	2025	NUM
cana-3966	168	4	)	)	PUNCT
cana-3966	168	5	598	598	NUM
cana-3966	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	168	7	figure	figure	NOUN
cana-3966	168	8	3	3	NUM
cana-3966	168	9	.	.	PUNCT
cana-3966	169	1	distribution	distribution	NOUN
cana-3966	169	2	of	of	ADP
cana-3966	169	3	different	different	ADJ
cana-3966	169	4	categorical	categorical	ADJ
cana-3966	169	5	features	feature	NOUN
cana-3966	169	6	figure	figure	VERB
cana-3966	169	7	4	4	NUM
cana-3966	169	8	.	.	PUNCT
cana-3966	170	1	distribution	distribution	NOUN
cana-3966	170	2	of	of	ADP
cana-3966	170	3	different	different	ADJ
cana-3966	170	4	numerical	numerical	PROPN
cana-3966	170	5	features	feature	NOUN
cana-3966	170	6	figure	figure	VERB
cana-3966	170	7	5	5	NUM
cana-3966	170	8	depicts	depict	NOUN
cana-3966	170	9	with	with	ADP
cana-3966	170	10	two	two	NUM
cana-3966	170	11	subplots	subplot	NOUN
cana-3966	170	12	:	:	PUNCT
cana-3966	170	13	a	a	DET
cana-3966	170	14	pie	pie	NOUN
cana-3966	170	15	chart	chart	NOUN
cana-3966	170	16	and	and	CCONJ
cana-3966	170	17	a	a	DET
cana-3966	170	18	count	count	NOUN
cana-3966	170	19	plot	plot	NOUN
cana-3966	170	20	.	.	PUNCT
cana-3966	171	1	the	the	DET
cana-3966	171	2	pie	pie	NOUN
cana-3966	171	3	chart	chart	NOUN
cana-3966	171	4	shows	show	VERB
cana-3966	171	5	the	the	DET
cana-3966	171	6	percentage	percentage	NOUN
cana-3966	171	7	distribution	distribution	NOUN
cana-3966	171	8	of	of	ADP
cana-3966	171	9	death	death	NOUN
cana-3966	171	10	events	event	NOUN
cana-3966	171	11	and	and	CCONJ
cana-3966	171	12	non	non	ADJ
cana-3966	171	13	-	-	ADJ
cana-3966	171	14	death	death	ADJ
cana-3966	171	15	events	event	NOUN
cana-3966	171	16	,	,	PUNCT
cana-3966	171	17	while	while	SCONJ
cana-3966	171	18	the	the	DET
cana-3966	171	19	count	count	NOUN
cana-3966	171	20	plot	plot	NOUN
cana-3966	171	21	displays	display	VERB
cana-3966	171	22	the	the	DET
cana-3966	171	23	counts	count	NOUN
cana-3966	171	24	of	of	ADP
cana-3966	171	25	each	each	DET
cana-3966	171	26	category	category	NOUN
cana-3966	171	27	with	with	ADP
cana-3966	171	28	customized	customize	VERB
cana-3966	171	29	bar	bar	NOUN
cana-3966	171	30	widths	width	NOUN
cana-3966	171	31	and	and	CCONJ
cana-3966	171	32	labels	label	NOUN
cana-3966	171	33	.	.	PUNCT
cana-3966	172	1	figure	figure	NOUN
cana-3966	172	2	5	5	NUM
cana-3966	172	3	.	.	PUNCT
cana-3966	172	4	pie	pie	NOUN
cana-3966	172	5	chart	chart	NOUN
cana-3966	172	6	and	and	CCONJ
cana-3966	172	7	count	count	VERB
cana-3966	172	8	plot	plot	NOUN
cana-3966	172	9	of	of	ADP
cana-3966	172	10	heart	heart	NOUN
cana-3966	172	11	failure	failure	NOUN
cana-3966	172	12	figure	figure	NOUN
cana-3966	172	13	6	6	NUM
cana-3966	172	14	displays	display	VERB
cana-3966	172	15	a	a	DET
cana-3966	172	16	heatmap	heatmap	NOUN
cana-3966	172	17	that	that	PRON
cana-3966	172	18	illustrates	illustrate	VERB
cana-3966	172	19	the	the	DET
cana-3966	172	20	correlations	correlation	NOUN
cana-3966	172	21	between	between	ADP
cana-3966	172	22	numerical	numerical	ADJ
cana-3966	172	23	features	feature	NOUN
cana-3966	172	24	in	in	ADP
cana-3966	172	25	the	the	DET
cana-3966	172	26	dataset	dataset	NOUN
cana-3966	172	27	,	,	PUNCT
cana-3966	172	28	highlighting	highlight	VERB
cana-3966	172	29	both	both	CCONJ
cana-3966	172	30	the	the	DET
cana-3966	172	31	strength	strength	NOUN
cana-3966	172	32	and	and	CCONJ
cana-3966	172	33	direction	direction	NOUN
cana-3966	172	34	of	of	ADP
cana-3966	172	35	these	these	DET
cana-3966	172	36	correlations	correlation	NOUN
cana-3966	172	37	.	.	PUNCT
cana-3966	173	1	the	the	DET
cana-3966	173	2	heatmap	heatmap	NOUN
cana-3966	173	3	includes	include	VERB
cana-3966	173	4	annotated	annotate	VERB
cana-3966	173	5	correlation	correlation	NOUN
cana-3966	173	6	coefficients	coefficient	NOUN
cana-3966	173	7	to	to	PART
cana-3966	173	8	offer	offer	VERB
cana-3966	173	9	precise	precise	ADJ
cana-3966	173	10	values	value	NOUN
cana-3966	173	11	for	for	ADP
cana-3966	173	12	each	each	DET
cana-3966	173	13	correlation	correlation	NOUN
cana-3966	173	14	.	.	PUNCT
cana-3966	174	1	figure	figure	NOUN
cana-3966	174	2	6	6	NUM
cana-3966	174	3	.	.	PUNCT
cana-3966	174	4	heatmap	heatmap	NOUN
cana-3966	174	5	of	of	ADP
cana-3966	174	6	the	the	DET
cana-3966	174	7	used	use	VERB
cana-3966	174	8	dataset	dataset	NOUN
cana-3966	174	9	of	of	ADP
cana-3966	174	10	heart	heart	NOUN
cana-3966	174	11	failure	failure	NOUN
cana-3966	174	12	figure	figure	NOUN
cana-3966	174	13	7	7	NUM
cana-3966	174	14	showcases	showcase	VERB
cana-3966	174	15	the	the	DET
cana-3966	174	16	results	result	NOUN
cana-3966	174	17	of	of	ADP
cana-3966	174	18	the	the	DET
cana-3966	174	19	chi	chi	NOUN
cana-3966	174	20	-	-	PUNCT
cana-3966	174	21	squared	square	VERB
cana-3966	174	22	and	and	CCONJ
cana-3966	174	23	anova	anova	PROPN
cana-3966	174	24	tests	test	NOUN
cana-3966	174	25	,	,	PUNCT
cana-3966	174	26	respectively	respectively	ADV
cana-3966	174	27	.	.	PUNCT
cana-3966	175	1	communications	communication	NOUN
cana-3966	175	2	on	on	ADP
cana-3966	175	3	applied	apply	VERB
cana-3966	175	4	nonlinear	nonlinear	ADJ
cana-3966	175	5	analysis	analysis	NOUN
cana-3966	175	6	issn	issn	NOUN
cana-3966	175	7	:	:	PUNCT
cana-3966	175	8	1074	1074	NUM
cana-3966	175	9	-	-	PUNCT
cana-3966	175	10	133x	133x	NUM
cana-3966	175	11	vol	vol	NOUN
cana-3966	175	12	32	32	NUM
cana-3966	175	13	no	no	NOUN
cana-3966	175	14	.	.	PUNCT
cana-3966	176	1	9s	9s	NUM
cana-3966	176	2	(	(	PUNCT
cana-3966	176	3	2025	2025	NUM
cana-3966	176	4	)	)	PUNCT
cana-3966	176	5	599	599	NUM
cana-3966	177	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	177	2	figure	figure	NOUN
cana-3966	177	3	7	7	NUM
cana-3966	177	4	(	(	PUNCT
cana-3966	177	5	a	a	NOUN
cana-3966	177	6	)	)	PUNCT
cana-3966	177	7	.	.	PUNCT
cana-3966	178	1	chi	chi	PROPN
cana-3966	178	2	squared	square	VERB
cana-3966	178	3	test	test	NOUN
cana-3966	178	4	(	(	PUNCT
cana-3966	178	5	b	b	NOUN
cana-3966	178	6	)	)	PUNCT
cana-3966	178	7	.	.	PUNCT
cana-3966	179	1	anova	anova	PROPN
cana-3966	179	2	score	score	PROPN
cana-3966	179	3	test	test	NOUN
cana-3966	179	4	4.3	4.3	NUM
cana-3966	179	5	.	.	PUNCT
cana-3966	180	1	hf	hf	PROPN
cana-3966	180	2	prediction	prediction	NOUN
cana-3966	180	3	using	use	VERB
cana-3966	180	4	proposed	propose	VERB
cana-3966	180	5	model	model	NOUN
cana-3966	180	6	hf	hf	NOUN
cana-3966	180	7	prediction	prediction	NOUN
cana-3966	180	8	with	with	ADP
cana-3966	180	9	ensembling	ensemble	VERB
cana-3966	180	10	integrates	integrate	NOUN
cana-3966	180	11	multiple	multiple	ADJ
cana-3966	180	12	ml	ml	NOUN
cana-3966	180	13	models	model	NOUN
cana-3966	180	14	to	to	PART
cana-3966	180	15	boost	boost	VERB
cana-3966	180	16	accuracy	accuracy	NOUN
cana-3966	180	17	and	and	CCONJ
cana-3966	180	18	robustness	robustness	NOUN
cana-3966	180	19	.	.	PUNCT
cana-3966	181	1	after	after	ADP
cana-3966	181	2	preparing	prepare	VERB
cana-3966	181	3	the	the	DET
cana-3966	181	4	data	datum	NOUN
cana-3966	181	5	and	and	CCONJ
cana-3966	181	6	selecting	select	VERB
cana-3966	181	7	features	feature	NOUN
cana-3966	181	8	,	,	PUNCT
cana-3966	181	9	models	model	NOUN
cana-3966	181	10	such	such	ADJ
cana-3966	181	11	as	as	ADP
cana-3966	181	12	logistic	logistic	ADJ
cana-3966	181	13	regression	regression	NOUN
cana-3966	181	14	,	,	PUNCT
cana-3966	181	15	svc	svc	PROPN
cana-3966	181	16	,	,	PUNCT
cana-3966	181	17	and	and	CCONJ
cana-3966	181	18	decision	decision	NOUN
cana-3966	181	19	tree	tree	NOUN
cana-3966	181	20	are	be	AUX
cana-3966	181	21	combined	combine	VERB
cana-3966	181	22	using	use	VERB
cana-3966	181	23	a	a	DET
cana-3966	181	24	voting	voting	NOUN
cana-3966	181	25	classifier	classifier	NOUN
cana-3966	181	26	.	.	PUNCT
cana-3966	182	1	the	the	DET
cana-3966	182	2	ensemble	ensemble	ADJ
cana-3966	182	3	is	be	AUX
cana-3966	182	4	trained	train	VERB
cana-3966	182	5	and	and	CCONJ
cana-3966	182	6	tested	test	VERB
cana-3966	182	7	,	,	PUNCT
cana-3966	182	8	with	with	ADP
cana-3966	182	9	performance	performance	NOUN
cana-3966	182	10	assessed	assess	VERB
cana-3966	182	11	through	through	ADP
cana-3966	182	12	metrics	metric	NOUN
cana-3966	182	13	like	like	ADP
cana-3966	182	14	accuracy	accuracy	NOUN
cana-3966	182	15	and	and	CCONJ
cana-3966	182	16	classification	classification	NOUN
cana-3966	182	17	reports	report	NOUN
cana-3966	182	18	,	,	PUNCT
cana-3966	182	19	enhancing	enhance	VERB
cana-3966	182	20	prediction	prediction	NOUN
cana-3966	182	21	reliability	reliability	NOUN
cana-3966	182	22	.	.	PUNCT
cana-3966	183	1	figure	figure	NOUN
cana-3966	183	2	8(a	8(a	NUM
cana-3966	183	3	)	)	PUNCT
cana-3966	183	4	depicts	depict	VERB
cana-3966	183	5	the	the	DET
cana-3966	183	6	confusion	confusion	NOUN
cana-3966	183	7	matrix	matrix	NOUN
cana-3966	183	8	of	of	ADP
cana-3966	183	9	the	the	DET
cana-3966	183	10	proposed	propose	VERB
cana-3966	183	11	model	model	NOUN
cana-3966	183	12	.	.	PUNCT
cana-3966	184	1	(	(	PUNCT
cana-3966	184	2	a	a	X
cana-3966	184	3	)	)	PUNCT
cana-3966	184	4	(	(	PUNCT
cana-3966	184	5	b	b	X
cana-3966	184	6	)	)	PUNCT
cana-3966	184	7	figure	figure	NOUN
cana-3966	184	8	8	8	NUM
cana-3966	184	9	(	(	PUNCT
cana-3966	184	10	a	a	NOUN
cana-3966	184	11	)	)	PUNCT
cana-3966	184	12	.	.	PUNCT
cana-3966	185	1	confusion	confusion	NOUN
cana-3966	185	2	matrix	matrix	NOUN
cana-3966	185	3	of	of	ADP
cana-3966	185	4	proposed	propose	VERB
cana-3966	185	5	model	model	NOUN
cana-3966	185	6	(	(	PUNCT
cana-3966	185	7	b	b	NOUN
cana-3966	185	8	)	)	PUNCT
cana-3966	185	9	.	.	PUNCT
cana-3966	186	1	roc	roc	PROPN
cana-3966	186	2	curve	curve	NOUN
cana-3966	186	3	of	of	ADP
cana-3966	186	4	proposed	propose	VERB
cana-3966	186	5	model	model	NOUN
cana-3966	186	6	figure	figure	NOUN
cana-3966	186	7	8(b	8(b	NUM
cana-3966	186	8	)	)	PUNCT
cana-3966	186	9	,	,	PUNCT
cana-3966	186	10	9(a	9(a	NUM
cana-3966	186	11	)	)	PUNCT
cana-3966	186	12	,	,	PUNCT
cana-3966	186	13	and	and	CCONJ
cana-3966	186	14	9(b	9(b	NUM
cana-3966	186	15	)	)	PUNCT
cana-3966	186	16	illustrate	illustrate	VERB
cana-3966	186	17	the	the	DET
cana-3966	186	18	roc	roc	PROPN
cana-3966	186	19	curve	curve	NOUN
cana-3966	186	20	,	,	PUNCT
cana-3966	186	21	precision	precision	NOUN
cana-3966	186	22	-	-	PUNCT
cana-3966	186	23	recall	recall	NOUN
cana-3966	186	24	curve	curve	NOUN
cana-3966	186	25	,	,	PUNCT
cana-3966	186	26	and	and	CCONJ
cana-3966	186	27	the	the	DET
cana-3966	186	28	learning	learning	NOUN
cana-3966	186	29	curves	curve	NOUN
cana-3966	186	30	of	of	ADP
cana-3966	186	31	the	the	DET
cana-3966	186	32	proposed	propose	VERB
cana-3966	186	33	model	model	NOUN
cana-3966	186	34	.	.	PUNCT
cana-3966	187	1	communications	communication	NOUN
cana-3966	187	2	on	on	ADP
cana-3966	187	3	applied	apply	VERB
cana-3966	187	4	nonlinear	nonlinear	ADJ
cana-3966	187	5	analysis	analysis	NOUN
cana-3966	187	6	issn	issn	NOUN
cana-3966	187	7	:	:	PUNCT
cana-3966	187	8	1074	1074	NUM
cana-3966	187	9	-	-	PUNCT
cana-3966	187	10	133x	133x	NUM
cana-3966	187	11	vol	vol	NOUN
cana-3966	187	12	32	32	NUM
cana-3966	187	13	no	no	NOUN
cana-3966	187	14	.	.	PUNCT
cana-3966	188	1	9s	9s	NUM
cana-3966	188	2	(	(	PUNCT
cana-3966	188	3	2025	2025	NUM
cana-3966	188	4	)	)	PUNCT
cana-3966	188	5	600	600	NUM
cana-3966	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	188	7	(	(	PUNCT
cana-3966	188	8	a	a	NOUN
cana-3966	188	9	)	)	PUNCT
cana-3966	188	10	(	(	PUNCT
cana-3966	188	11	b	b	X
cana-3966	188	12	)	)	PUNCT
cana-3966	188	13	figure	figure	NOUN
cana-3966	188	14	9	9	NUM
cana-3966	188	15	(	(	PUNCT
cana-3966	188	16	a	a	NOUN
cana-3966	188	17	)	)	PUNCT
cana-3966	188	18	.	.	PUNCT
cana-3966	189	1	precision	precision	NOUN
cana-3966	189	2	-	-	PUNCT
cana-3966	189	3	recall	recall	NOUN
cana-3966	189	4	curve	curve	NOUN
cana-3966	189	5	of	of	ADP
cana-3966	189	6	proposed	propose	VERB
cana-3966	189	7	model	model	NOUN
cana-3966	189	8	(	(	PUNCT
cana-3966	189	9	b	b	NOUN
cana-3966	189	10	)	)	PUNCT
cana-3966	189	11	.	.	PUNCT
cana-3966	190	1	learning	learn	VERB
cana-3966	190	2	curves	curve	NOUN
cana-3966	190	3	of	of	ADP
cana-3966	190	4	model	model	NOUN
cana-3966	190	5	4.4	4.4	NUM
cana-3966	190	6	.	.	PUNCT
cana-3966	191	1	loss	loss	NOUN
cana-3966	191	2	of	of	ADP
cana-3966	191	3	the	the	DET
cana-3966	191	4	proposed	propose	VERB
cana-3966	191	5	model	model	NOUN
cana-3966	191	6	figure	figure	NOUN
cana-3966	191	7	10	10	NUM
cana-3966	191	8	depicts	depict	VERB
cana-3966	191	9	the	the	DET
cana-3966	191	10	loss	loss	NOUN
cana-3966	191	11	of	of	ADP
cana-3966	191	12	the	the	DET
cana-3966	191	13	proposed	propose	VERB
cana-3966	191	14	model	model	NOUN
cana-3966	191	15	.	.	PUNCT
cana-3966	192	1	figure	figure	NOUN
cana-3966	192	2	10	10	NUM
cana-3966	192	3	.	.	PUNCT
cana-3966	193	1	loss	loss	NOUN
cana-3966	193	2	of	of	ADP
cana-3966	193	3	the	the	DET
cana-3966	193	4	proposed	propose	VERB
cana-3966	193	5	model	model	NOUN
cana-3966	193	6	4.5	4.5	NUM
cana-3966	193	7	.	.	PUNCT
cana-3966	194	1	comparison	comparison	NOUN
cana-3966	194	2	results	result	VERB
cana-3966	194	3	table	table	NOUN
cana-3966	194	4	3	3	NUM
cana-3966	194	5	shows	show	VERB
cana-3966	194	6	a	a	DET
cana-3966	194	7	comparison	comparison	NOUN
cana-3966	194	8	of	of	ADP
cana-3966	194	9	prediction	prediction	NOUN
cana-3966	194	10	performance	performance	NOUN
cana-3966	194	11	among	among	ADP
cana-3966	194	12	all	all	DET
cana-3966	194	13	the	the	DET
cana-3966	194	14	compared	compare	VERB
cana-3966	194	15	state	state	NOUN
cana-3966	194	16	-	-	PUNCT
cana-3966	194	17	of	of	ADP
cana-3966	194	18	-	-	PUNCT
cana-3966	194	19	the	the	DET
cana-3966	194	20	-	-	PUNCT
cana-3966	194	21	art	art	NOUN
cana-3966	194	22	models	model	NOUN
cana-3966	194	23	based	base	VERB
cana-3966	194	24	on	on	ADP
cana-3966	194	25	accuracy	accuracy	NOUN
cana-3966	194	26	,	,	PUNCT
cana-3966	194	27	precision	precision	NOUN
cana-3966	194	28	,	,	PUNCT
cana-3966	194	29	recall	recall	NOUN
cana-3966	194	30	and	and	CCONJ
cana-3966	194	31	f1	f1	NOUN
cana-3966	194	32	-	-	PUNCT
cana-3966	194	33	score	score	NOUN
cana-3966	194	34	.	.	PUNCT
cana-3966	195	1	table	table	NOUN
cana-3966	195	2	3	3	NUM
cana-3966	195	3	presents	present	VERB
cana-3966	195	4	a	a	DET
cana-3966	195	5	comparative	comparative	ADJ
cana-3966	195	6	analysis	analysis	NOUN
cana-3966	195	7	of	of	ADP
cana-3966	195	8	various	various	ADJ
cana-3966	195	9	state	state	NOUN
cana-3966	195	10	-	-	PUNCT
cana-3966	195	11	of	of	ADP
cana-3966	195	12	-	-	PUNCT
cana-3966	195	13	the	the	DET
cana-3966	195	14	-	-	PUNCT
cana-3966	195	15	art	art	NOUN
cana-3966	195	16	models	model	NOUN
cana-3966	195	17	,	,	PUNCT
cana-3966	195	18	highlighting	highlight	VERB
cana-3966	195	19	the	the	DET
cana-3966	195	20	superior	superior	ADJ
cana-3966	195	21	performance	performance	NOUN
cana-3966	195	22	of	of	ADP
cana-3966	195	23	the	the	DET
cana-3966	195	24	proposed	propose	VERB
cana-3966	195	25	model	model	NOUN
cana-3966	195	26	.	.	PUNCT
cana-3966	196	1	it	it	PRON
cana-3966	196	2	achieves	achieve	VERB
cana-3966	196	3	the	the	DET
cana-3966	196	4	highest	high	ADJ
cana-3966	196	5	scores	score	NOUN
cana-3966	196	6	across	across	ADP
cana-3966	196	7	all	all	DET
cana-3966	196	8	metrics	metric	NOUN
cana-3966	196	9	:	:	PUNCT
cana-3966	196	10	accuracy	accuracy	NOUN
cana-3966	196	11	(	(	PUNCT
cana-3966	196	12	0.91	0.91	NUM
cana-3966	196	13	)	)	PUNCT
cana-3966	196	14	,	,	PUNCT
cana-3966	196	15	precision	precision	NOUN
cana-3966	196	16	(	(	PUNCT
cana-3966	196	17	0.91	0.91	NUM
cana-3966	196	18	)	)	PUNCT
cana-3966	196	19	,	,	PUNCT
cana-3966	196	20	recall	recall	NOUN
cana-3966	196	21	(	(	PUNCT
cana-3966	196	22	0.94	0.94	NUM
cana-3966	196	23	)	)	PUNCT
cana-3966	196	24	and	and	CCONJ
cana-3966	196	25	f1	f1	NOUN
cana-3966	196	26	-	-	PUNCT
cana-3966	196	27	score	score	NOUN
cana-3966	196	28	(	(	PUNCT
cana-3966	196	29	0.92	0.92	NUM
cana-3966	196	30	)	)	PUNCT
cana-3966	196	31	.	.	PUNCT
cana-3966	197	1	table	table	NOUN
cana-3966	198	1	3	3	NUM
cana-3966	198	2	.	.	PUNCT
cana-3966	198	3	comparison	comparison	NOUN
cana-3966	198	4	of	of	ADP
cana-3966	198	5	prediction	prediction	NOUN
cana-3966	198	6	performance	performance	NOUN
cana-3966	198	7	among	among	ADP
cana-3966	198	8	state	state	NOUN
cana-3966	198	9	-	-	PUNCT
cana-3966	198	10	of	of	ADP
cana-3966	198	11	-	-	PUNCT
cana-3966	198	12	the	the	DET
cana-3966	198	13	-	-	PUNCT
cana-3966	198	14	art	art	NOUN
cana-3966	198	15	models	model	NOUN
cana-3966	198	16	model	model	NOUN
cana-3966	198	17	precision	precision	PROPN
cana-3966	198	18	recall	recall	NOUN
cana-3966	198	19	f1	f1	NOUN
cana-3966	198	20	-	-	PUNCT
cana-3966	198	21	score	score	NOUN
cana-3966	198	22	accuracy(%	accuracy(%	NOUN
cana-3966	198	23	)	)	PUNCT
cana-3966	198	24	lr	lr	X
cana-3966	199	1	[	[	X
cana-3966	199	2	26	26	NUM
cana-3966	199	3	]	]	PUNCT
cana-3966	199	4	0.857	0.857	NUM
cana-3966	199	5	0.853	0.853	NUM
cana-3966	199	6	0.854	0.854	NUM
cana-3966	199	7	85.3	85.3	NUM
cana-3966	199	8	knn	knn	PROPN
cana-3966	200	1	[	[	X
cana-3966	200	2	26	26	NUM
cana-3966	200	3	]	]	PUNCT
cana-3966	200	4	0.904	0.904	NUM
cana-3966	200	5	0.902	0.902	NUM
cana-3966	200	6	0.902	0.902	NUM
cana-3966	200	7	90.2	90.2	NUM
cana-3966	200	8	gbc	gbc	NOUN
cana-3966	200	9	[	[	X
cana-3966	200	10	26	26	NUM
cana-3966	200	11	]	]	PUNCT
cana-3966	200	12	0.875	0.875	NUM
cana-3966	200	13	0.875	0.875	NUM
cana-3966	200	14	0.875	0.875	NUM
cana-3966	200	15	87.5	87.5	NUM
cana-3966	200	16	rf	rf	NOUN
cana-3966	201	1	[	[	X
cana-3966	201	2	27	27	NUM
cana-3966	201	3	]	]	SYM
cana-3966	201	4	0.852	0.852	NUM
cana-3966	201	5	0.906	0.906	NUM
cana-3966	201	6	0.878	0.878	NUM
cana-3966	201	7	86.9	86.9	NUM
cana-3966	201	8	dtc	dtc	NOUN
cana-3966	201	9	[	[	X
cana-3966	201	10	28	28	NUM
cana-3966	201	11	]	]	PUNCT
cana-3966	201	12	0.895	0.895	NUM
cana-3966	201	13	0.816	0.816	NUM
cana-3966	201	14	0.854	0.854	NUM
cana-3966	201	15	86.37	86.37	NUM
cana-3966	201	16	mlp	mlp	NOUN
cana-3966	202	1	[	[	X
cana-3966	202	2	28	28	NUM
cana-3966	202	3	]	]	PUNCT
cana-3966	202	4	0.887	0.887	NUM
cana-3966	202	5	0.848	0.848	NUM
cana-3966	202	6	0.900	0.900	NUM
cana-3966	202	7	87.28	87.28	NUM
cana-3966	202	8	xgb	xgb	NOUN
cana-3966	203	1	[	[	X
cana-3966	203	2	29	29	NUM
cana-3966	203	3	]	]	PUNCT
cana-3966	203	4	0.882	0.882	NUM
cana-3966	203	5	0.882	0.882	NUM
cana-3966	203	6	0.882	0.882	NUM
cana-3966	203	7	88.19	88.19	NUM
cana-3966	203	8	dtc+lr+svrc	dtc+lr+svrc	PROPN
cana-3966	203	9	(	(	PUNCT
cana-3966	203	10	proposed	propose	VERB
cana-3966	203	11	)	)	PUNCT
cana-3966	203	12	0.910	0.910	NUM
cana-3966	203	13	0.944	0.944	NUM
cana-3966	203	14	0.924	0.924	NUM
cana-3966	203	15	91.11	91.11	NUM
cana-3966	203	16	communications	communication	NOUN
cana-3966	203	17	on	on	ADP
cana-3966	203	18	applied	apply	VERB
cana-3966	203	19	nonlinear	nonlinear	ADJ
cana-3966	203	20	analysis	analysis	NOUN
cana-3966	203	21	issn	issn	NOUN
cana-3966	203	22	:	:	PUNCT
cana-3966	203	23	1074	1074	NUM
cana-3966	203	24	-	-	PUNCT
cana-3966	203	25	133x	133x	NUM
cana-3966	203	26	vol	vol	NOUN
cana-3966	203	27	32	32	NUM
cana-3966	204	1	no	no	NOUN
cana-3966	204	2	.	.	PUNCT
cana-3966	205	1	9s	9s	NUM
cana-3966	205	2	(	(	PUNCT
cana-3966	205	3	2025	2025	NUM
cana-3966	205	4	)	)	PUNCT
cana-3966	205	5	601	601	NUM
cana-3966	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3966	205	7	the	the	DET
cana-3966	205	8	logistic	logistic	ADJ
cana-3966	205	9	regression	regression	NOUN
cana-3966	205	10	(	(	PUNCT
cana-3966	205	11	lr	lr	NOUN
cana-3966	205	12	)	)	PUNCT
cana-3966	205	13	performs	perform	VERB
cana-3966	205	14	the	the	DET
cana-3966	205	15	weakest	weak	ADJ
cana-3966	205	16	in	in	ADP
cana-3966	205	17	accuracy	accuracy	NOUN
cana-3966	205	18	.	.	PUNCT
cana-3966	206	1	overall	overall	ADV
cana-3966	206	2	,	,	PUNCT
cana-3966	206	3	the	the	DET
cana-3966	206	4	model	model	NOUN
cana-3966	206	5	demonstrates	demonstrate	VERB
cana-3966	206	6	greater	great	ADJ
cana-3966	206	7	robustness	robustness	NOUN
cana-3966	206	8	and	and	CCONJ
cana-3966	206	9	reliability	reliability	NOUN
cana-3966	206	10	for	for	ADP
cana-3966	206	11	predicting	predict	VERB
cana-3966	206	12	outcomes	outcome	NOUN
cana-3966	206	13	,	,	PUNCT
cana-3966	206	14	showing	show	VERB
cana-3966	206	15	superior	superior	ADJ
cana-3966	206	16	performance	performance	NOUN
cana-3966	206	17	in	in	ADP
cana-3966	206	18	capturing	capture	VERB
cana-3966	206	19	and	and	CCONJ
cana-3966	206	20	predicting	predict	VERB
cana-3966	206	21	complex	complex	ADJ
cana-3966	206	22	patterns	pattern	NOUN
cana-3966	206	23	compared	compare	VERB
cana-3966	206	24	to	to	ADP
cana-3966	206	25	other	other	ADJ
cana-3966	206	26	state	state	NOUN
cana-3966	206	27	-	-	PUNCT
cana-3966	206	28	of	of	ADP
cana-3966	206	29	-	-	PUNCT
cana-3966	206	30	the	the	DET
cana-3966	206	31	-	-	PUNCT
cana-3966	206	32	art	art	NOUN
cana-3966	206	33	models	model	NOUN
cana-3966	206	34	.	.	PUNCT
cana-3966	207	1	5	5	X
cana-3966	207	2	.	.	X
cana-3966	207	3	conclusion	conclusion	NOUN
cana-3966	207	4	the	the	DET
cana-3966	207	5	proposed	propose	VERB
cana-3966	207	6	model	model	NOUN
cana-3966	207	7	represents	represent	VERB
cana-3966	207	8	a	a	DET
cana-3966	207	9	major	major	ADJ
cana-3966	207	10	step	step	NOUN
cana-3966	207	11	forward	forward	ADV
cana-3966	207	12	in	in	ADP
cana-3966	207	13	heart	heart	NOUN
cana-3966	207	14	failure	failure	NOUN
cana-3966	207	15	(	(	PUNCT
cana-3966	207	16	hf	hf	NOUN
cana-3966	207	17	)	)	PUNCT
cana-3966	207	18	prediction	prediction	NOUN
cana-3966	207	19	,	,	PUNCT
cana-3966	207	20	utilizing	utilize	VERB
cana-3966	207	21	ensemble	ensemble	ADJ
cana-3966	207	22	learning	learning	NOUN
cana-3966	207	23	to	to	PART
cana-3966	207	24	combine	combine	VERB
cana-3966	207	25	multiple	multiple	ADJ
cana-3966	207	26	machine	machine	NOUN
cana-3966	207	27	learning	learning	NOUN
cana-3966	207	28	algorithms	algorithm	NOUN
cana-3966	207	29	,	,	PUNCT
cana-3966	207	30	thereby	thereby	ADV
cana-3966	207	31	improving	improve	VERB
cana-3966	207	32	both	both	DET
cana-3966	207	33	accuracy	accuracy	NOUN
cana-3966	207	34	and	and	CCONJ
cana-3966	207	35	robustness	robustness	NOUN
cana-3966	207	36	.	.	PUNCT
cana-3966	208	1	its	its	PRON
cana-3966	208	2	exceptional	exceptional	ADJ
cana-3966	208	3	performance	performance	NOUN
cana-3966	208	4	across	across	ADP
cana-3966	208	5	key	key	ADJ
cana-3966	208	6	metrics	metric	NOUN
cana-3966	208	7	accuracy	accuracy	NOUN
cana-3966	208	8	,	,	PUNCT
cana-3966	208	9	precision	precision	NOUN
cana-3966	208	10	,	,	PUNCT
cana-3966	208	11	recall	recall	NOUN
cana-3966	208	12	and	and	CCONJ
cana-3966	208	13	f1score	f1score	NOUN
cana-3966	208	14	sets	set	VERB
cana-3966	208	15	a	a	DET
cana-3966	208	16	new	new	ADJ
cana-3966	208	17	standard	standard	NOUN
cana-3966	208	18	in	in	ADP
cana-3966	208	19	predictive	predictive	ADJ
cana-3966	208	20	analytics	analytic	NOUN
cana-3966	208	21	and	and	CCONJ
cana-3966	208	22	risk	risk	NOUN
cana-3966	208	23	stratification	stratification	NOUN
cana-3966	208	24	for	for	ADP
cana-3966	208	25	cardiovascular	cardiovascular	ADJ
cana-3966	208	26	health	health	NOUN
cana-3966	208	27	.	.	PUNCT
cana-3966	209	1	the	the	DET
cana-3966	209	2	successful	successful	ADJ
cana-3966	209	3	implementation	implementation	NOUN
cana-3966	209	4	of	of	ADP
cana-3966	209	5	the	the	DET
cana-3966	209	6	proposed	propose	VERB
cana-3966	209	7	model	model	NOUN
cana-3966	209	8	highlights	highlight	VERB
cana-3966	209	9	the	the	DET
cana-3966	209	10	power	power	NOUN
cana-3966	209	11	of	of	ADP
cana-3966	209	12	ensemble	ensemble	ADJ
cana-3966	209	13	learning	learning	NOUN
cana-3966	209	14	in	in	ADP
cana-3966	209	15	medical	medical	ADJ
cana-3966	209	16	data	datum	NOUN
cana-3966	209	17	analysis	analysis	NOUN
cana-3966	209	18	,	,	PUNCT
cana-3966	209	19	offering	offer	VERB
cana-3966	209	20	a	a	DET
cana-3966	209	21	reliable	reliable	ADJ
cana-3966	209	22	tool	tool	NOUN
cana-3966	209	23	for	for	ADP
cana-3966	209	24	early	early	ADJ
cana-3966	209	25	detection	detection	NOUN
cana-3966	209	26	and	and	CCONJ
cana-3966	209	27	intervention	intervention	NOUN
cana-3966	209	28	,	,	PUNCT
cana-3966	209	29	which	which	PRON
cana-3966	209	30	can	can	AUX
cana-3966	209	31	lead	lead	VERB
cana-3966	209	32	to	to	ADP
cana-3966	209	33	better	well	ADV
cana-3966	209	34	patient	patient	ADJ
cana-3966	209	35	outcomes	outcome	NOUN
cana-3966	209	36	and	and	CCONJ
cana-3966	209	37	more	more	ADV
cana-3966	209	38	effective	effective	ADJ
cana-3966	209	39	heart	heart	NOUN
cana-3966	209	40	disease	disease	NOUN
cana-3966	209	41	management	management	NOUN
cana-3966	209	42	.	.	PUNCT
cana-3966	210	1	future	future	ADJ
cana-3966	210	2	advancements	advancement	NOUN
cana-3966	210	3	could	could	AUX
cana-3966	210	4	further	far	ADV
cana-3966	210	5	enhance	enhance	VERB
cana-3966	210	6	the	the	DET
cana-3966	210	7	model	model	NOUN
cana-3966	210	8	’s	’s	PART
cana-3966	210	9	capabilities	capability	NOUN
cana-3966	210	10	.	.	PUNCT
cana-3966	211	1	exploring	explore	VERB
cana-3966	211	2	more	more	ADV
cana-3966	211	3	sophisticated	sophisticated	ADJ
cana-3966	211	4	ensemble	ensemble	ADJ
cana-3966	211	5	techniques	technique	NOUN
cana-3966	211	6	,	,	PUNCT
cana-3966	211	7	such	such	ADJ
cana-3966	211	8	as	as	ADP
cana-3966	211	9	stacking	stacking	NOUN
cana-3966	211	10	and	and	CCONJ
cana-3966	211	11	blending	blending	NOUN
cana-3966	211	12	,	,	PUNCT
cana-3966	211	13	may	may	AUX
cana-3966	211	14	increase	increase	VERB
cana-3966	211	15	its	its	PRON
cana-3966	211	16	predictive	predictive	ADJ
cana-3966	211	17	power	power	NOUN
cana-3966	211	18	.	.	PUNCT
cana-3966	212	1	additionally	additionally	ADV
cana-3966	212	2	,	,	PUNCT
cana-3966	212	3	improving	improve	VERB
cana-3966	212	4	the	the	DET
cana-3966	212	5	model	model	NOUN
cana-3966	212	6	’s	’s	PART
cana-3966	212	7	interpretability	interpretability	NOUN
cana-3966	212	8	and	and	CCONJ
cana-3966	212	9	explainability	explainability	NOUN
cana-3966	212	10	will	will	AUX
cana-3966	212	11	help	help	VERB
cana-3966	212	12	healthcare	healthcare	NOUN
cana-3966	212	13	professionals	professional	NOUN
cana-3966	212	14	understand	understand	VERB
cana-3966	212	15	and	and	CCONJ
cana-3966	212	16	trust	trust	VERB
cana-3966	212	17	its	its	PRON
cana-3966	212	18	predictions	prediction	NOUN
cana-3966	212	19	,	,	PUNCT
cana-3966	212	20	promoting	promote	VERB
cana-3966	212	21	broader	broad	ADJ
cana-3966	212	22	clinical	clinical	ADJ
cana-3966	212	23	adoption	adoption	NOUN
cana-3966	212	24	.	.	PUNCT
cana-3966	213	1	testing	test	VERB
cana-3966	213	2	the	the	DET
cana-3966	213	3	model	model	NOUN
cana-3966	213	4	's	's	PART
cana-3966	213	5	scalability	scalability	NOUN
cana-3966	213	6	and	and	CCONJ
cana-3966	213	7	generalizability	generalizability	NOUN
cana-3966	213	8	across	across	ADP
cana-3966	213	9	diverse	diverse	ADJ
cana-3966	213	10	populations	population	NOUN
cana-3966	213	11	and	and	CCONJ
cana-3966	213	12	healthcare	healthcare	NOUN
cana-3966	213	13	systems	system	NOUN
cana-3966	213	14	is	be	AUX
cana-3966	213	15	also	also	ADV
cana-3966	213	16	crucial	crucial	ADJ
cana-3966	213	17	to	to	PART
cana-3966	213	18	ensure	ensure	VERB
cana-3966	213	19	its	its	PRON
cana-3966	213	20	applicability	applicability	NOUN
cana-3966	213	21	in	in	ADP
cana-3966	213	22	various	various	ADJ
cana-3966	213	23	settings	setting	NOUN
cana-3966	213	24	.	.	PUNCT
cana-3966	214	1	moreover	moreover	ADV
cana-3966	214	2	,	,	PUNCT
cana-3966	214	3	deploying	deploy	VERB
cana-3966	214	4	the	the	DET
cana-3966	214	5	proposed	propose	VERB
cana-3966	214	6	model	model	NOUN
cana-3966	214	7	in	in	ADP
cana-3966	214	8	real	real	ADJ
cana-3966	214	9	-	-	PUNCT
cana-3966	214	10	world	world	NOUN
cana-3966	214	11	clinical	clinical	ADJ
cana-3966	214	12	environments	environment	NOUN
cana-3966	214	13	and	and	CCONJ
cana-3966	214	14	integrating	integrate	VERB
cana-3966	214	15	it	it	PRON
cana-3966	214	16	with	with	ADP
cana-3966	214	17	electronic	electronic	ADJ
cana-3966	214	18	health	health	NOUN
cana-3966	214	19	record	record	NOUN
cana-3966	214	20	(	(	PUNCT
cana-3966	214	21	ehr	ehr	NOUN
cana-3966	214	22	)	)	PUNCT
cana-3966	214	23	systems	system	NOUN
cana-3966	214	24	could	could	AUX
cana-3966	214	25	automate	automate	VERB
cana-3966	214	26	heart	heart	NOUN
cana-3966	214	27	failure	failure	NOUN
cana-3966	214	28	risk	risk	NOUN
cana-3966	214	29	stratification	stratification	NOUN
cana-3966	214	30	,	,	PUNCT
cana-3966	214	31	streamlining	streamline	VERB
cana-3966	214	32	patient	patient	NOUN
cana-3966	214	33	care	care	NOUN
cana-3966	214	34	and	and	CCONJ
cana-3966	214	35	optimizing	optimize	VERB
cana-3966	214	36	healthcare	healthcare	NOUN
cana-3966	214	37	resources	resource	NOUN
cana-3966	214	38	.	.	PUNCT
cana-3966	215	1	references	reference	NOUN
cana-3966	215	2	[	[	X
cana-3966	215	3	1	1	NUM
cana-3966	215	4	]	]	PUNCT
cana-3966	215	5	f.	f.	PROPN
cana-3966	215	6	n.	n.	PROPN
cana-3966	215	7	mukoso	mukoso	PROPN
cana-3966	215	8	,	,	PUNCT
cana-3966	215	9	s.	s.	PROPN
cana-3966	215	10	o.	o.	PROPN
cana-3966	215	11	wembonyama	wembonyama	PROPN
cana-3966	215	12	,	,	PUNCT
cana-3966	215	13	a.	a.	NOUN
cana-3966	215	14	n.	n.	PROPN
cana-3966	215	15	gakuru	gakuru	PROPN
cana-3966	215	16	,	,	PUNCT
cana-3966	215	17	j.	j.	PROPN
cana-3966	215	18	l.	l.	PROPN
cana-3966	215	19	katembo	katembo	PROPN
cana-3966	215	20	,	,	PUNCT
cana-3966	215	21	a.	a.	PROPN
cana-3966	215	22	j.	j.	PROPN
cana-3966	215	23	s´everin	s´everin	PROPN
cana-3966	215	24	,	,	PUNCT
cana-3966	215	25	a.	a.	PROPN
cana-3966	215	26	n.	n.	PROPN
cana-3966	215	27	nkodila	nkodila	PROPN
cana-3966	215	28	,	,	PUNCT
cana-3966	215	29	c.	c.	PROPN
cana-3966	215	30	k.	k.	PROPN
cana-3966	215	31	mbala	mbala	PROPN
cana-3966	215	32	,	,	PUNCT
cana-3966	215	33	a.	a.	PROPN
cana-3966	215	34	k.	k.	PROPN
cana-3966	215	35	pwo	pwo	PROPN
cana-3966	215	36	,	,	PUNCT
cana-3966	215	37	and	and	CCONJ
cana-3966	215	38	z.	z.	PROPN
cana-3966	215	39	k.	k.	PROPN
cana-3966	215	40	tsongo	tsongo	PROPN
cana-3966	215	41	,	,	PUNCT
cana-3966	215	42	“	"	PUNCT
cana-3966	215	43	heart	heart	NOUN
cana-3966	215	44	failure	failure	NOUN
cana-3966	215	45	:	:	PUNCT
cana-3966	215	46	news	news	NOUN
cana-3966	215	47	on	on	ADP
cana-3966	215	48	pathophysiology	pathophysiology	NOUN
cana-3966	215	49	and	and	CCONJ
cana-3966	215	50	innovative	innovative	ADJ
cana-3966	215	51	treatments	treatment	NOUN
cana-3966	215	52	to	to	PART
cana-3966	215	53	prevent	prevent	VERB
cana-3966	215	54	it	it	PRON
cana-3966	215	55	in	in	ADP
cana-3966	215	56	diabetic	diabetic	ADJ
cana-3966	215	57	patients	patient	NOUN
cana-3966	215	58	.	.	PUNCT
cana-3966	216	1	a	a	DET
cana-3966	216	2	study	study	NOUN
cana-3966	216	3	based	base	VERB
cana-3966	216	4	on	on	ADP
cana-3966	216	5	literature	literature	NOUN
cana-3966	216	6	,	,	PUNCT
cana-3966	216	7	”	"	PUNCT
cana-3966	216	8	kivu	kivu	PROPN
cana-3966	216	9	medical	medical	PROPN
cana-3966	216	10	journal	journal	PROPN
cana-3966	216	11	,	,	PUNCT
cana-3966	216	12	vol	vol	NOUN
cana-3966	216	13	.	.	PROPN
cana-3966	216	14	1	1	NUM
cana-3966	216	15	,	,	PUNCT
cana-3966	216	16	no	no	INTJ
cana-3966	216	17	.	.	NOUN
cana-3966	216	18	2	2	NUM
cana-3966	216	19	,	,	PUNCT
cana-3966	216	20	2023	2023	NUM
cana-3966	216	21	,	,	PUNCT
cana-3966	216	22	doi	doi	NOUN
cana-3966	216	23	:	:	PUNCT
cana-3966	216	24	http://www.kivumedicaljournal.com/index.php/kmj/article/view/11	http://www.kivumedicaljournal.com/index.php/kmj/article/view/11	NOUN
cana-3966	216	25	.	.	PUNCT
cana-3966	217	1	[	[	X
cana-3966	217	2	2	2	X
cana-3966	217	3	]	]	PUNCT
cana-3966	217	4	v.	v.	CCONJ
cana-3966	217	5	castiglione	castiglione	NOUN
cana-3966	217	6	,	,	PUNCT
cana-3966	217	7	a.	a.	PROPN
cana-3966	217	8	aimo	aimo	PROPN
cana-3966	217	9	,	,	PUNCT
cana-3966	217	10	g.	g.	PROPN
cana-3966	217	11	vergaro	vergaro	PROPN
cana-3966	217	12	,	,	PUNCT
cana-3966	217	13	l.	l.	PROPN
cana-3966	217	14	saccaro	saccaro	PROPN
cana-3966	217	15	,	,	PUNCT
cana-3966	217	16	c.	c.	PROPN
cana-3966	217	17	passino	passino	PROPN
cana-3966	217	18	,	,	PUNCT
cana-3966	217	19	and	and	CCONJ
cana-3966	217	20	m.	m.	NOUN
cana-3966	217	21	emdin	emdin	PROPN
cana-3966	217	22	,	,	PUNCT
cana-3966	217	23	“	"	PUNCT
cana-3966	217	24	biomarkers	biomarker	NOUN
cana-3966	217	25	for	for	ADP
cana-3966	217	26	the	the	DET
cana-3966	217	27	diagnosis	diagnosis	NOUN
cana-3966	217	28	and	and	CCONJ
cana-3966	217	29	management	management	NOUN
cana-3966	217	30	of	of	ADP
cana-3966	217	31	heart	heart	NOUN
cana-3966	217	32	failure	failure	NOUN
cana-3966	217	33	,	,	PUNCT
cana-3966	217	34	”	"	PUNCT
cana-3966	217	35	heart	heart	NOUN
cana-3966	217	36	fail	fail	ADJ
cana-3966	217	37	.	.	PUNCT
cana-3966	218	1	rev	rev	PROPN
cana-3966	218	2	.	.	PROPN
cana-3966	218	3	,	,	PUNCT
cana-3966	218	4	pp	pp	PROPN
cana-3966	218	5	.	.	PUNCT
cana-3966	219	1	1–19	1–19	NOUN
cana-3966	219	2	,	,	PUNCT
cana-3966	219	3	2022	2022	NUM
cana-3966	219	4	,	,	PUNCT
cana-3966	219	5	doi	doi	NOUN
cana-3966	219	6	:	:	PUNCT
cana-3966	219	7	https://doi.org/10.1007/s10741-021-10105-w	https://doi.org/10.1007/s10741-021-10105-w	NOUN
cana-3966	219	8	.	.	PUNCT
cana-3966	220	1	[	[	X
cana-3966	220	2	3	3	X
cana-3966	220	3	]	]	X
cana-3966	220	4	e.	e.	PROPN
cana-3966	220	5	m.	m.	PROPN
cana-3966	220	6	boorsma	boorsma	PROPN
cana-3966	220	7	,	,	PUNCT
cana-3966	220	8	j.	j.	PROPN
cana-3966	220	9	m.	m.	PROPN
cana-3966	220	10	ter	ter	PROPN
cana-3966	220	11	maaten	maaten	VERB
cana-3966	220	12	,	,	PUNCT
cana-3966	220	13	k.	k.	PROPN
cana-3966	220	14	damman	damman	PROPN
cana-3966	220	15	,	,	PUNCT
cana-3966	220	16	w.	w.	PROPN
cana-3966	220	17	dinh	dinh	PROPN
cana-3966	220	18	,	,	PUNCT
cana-3966	220	19	f.	f.	PROPN
cana-3966	220	20	gustafsson	gustafsson	PROPN
cana-3966	220	21	,	,	PUNCT
cana-3966	220	22	s.	s.	PROPN
cana-3966	220	23	goldsmith	goldsmith	PROPN
cana-3966	220	24	,	,	PUNCT
cana-3966	220	25	d.	d.	PROPN
cana-3966	220	26	burkhoff	burkhoff	PROPN
cana-3966	220	27	,	,	PUNCT
cana-3966	220	28	f.	f.	PROPN
cana-3966	220	29	zannad	zannad	PROPN
cana-3966	220	30	,	,	PUNCT
cana-3966	220	31	j.	j.	PROPN
cana-3966	220	32	e.	e.	PROPN
cana-3966	220	33	udelson	udelson	PROPN
cana-3966	220	34	,	,	PUNCT
cana-3966	220	35	and	and	CCONJ
cana-3966	220	36	a.	a.	NOUN
cana-3966	220	37	a.	a.	NOUN
cana-3966	220	38	voors	voor	NOUN
cana-3966	220	39	,	,	PUNCT
cana-3966	220	40	“	"	PUNCT
cana-3966	220	41	congestion	congestion	NOUN
cana-3966	220	42	in	in	ADP
cana-3966	220	43	heart	heart	NOUN
cana-3966	220	44	failure	failure	NOUN
cana-3966	220	45	:	:	PUNCT
cana-3966	220	46	a	a	DET
cana-3966	220	47	contemporary	contemporary	ADJ
cana-3966	220	48	look	look	NOUN
cana-3966	220	49	at	at	ADP
cana-3966	220	50	physiology	physiology	NOUN
cana-3966	220	51	,	,	PUNCT
cana-3966	220	52	diagnosis	diagnosis	NOUN
cana-3966	220	53	and	and	CCONJ
cana-3966	220	54	treatment	treatment	NOUN
cana-3966	220	55	,	,	PUNCT
cana-3966	220	56	”	"	PUNCT
cana-3966	220	57	nat	nat	PROPN
cana-3966	220	58	.	.	PUNCT
cana-3966	221	1	rev	rev	PROPN
cana-3966	221	2	.	.	PROPN
cana-3966	221	3	cardiol	cardiol	PROPN
cana-3966	221	4	.	.	PUNCT
cana-3966	222	1	,	,	PUNCT
cana-3966	222	2	vol	vol	NOUN
cana-3966	222	3	.	.	PROPN
cana-3966	223	1	17	17	NUM
cana-3966	223	2	,	,	PUNCT
cana-3966	223	3	no	no	INTJ
cana-3966	223	4	.	.	NOUN
cana-3966	223	5	10	10	NUM
cana-3966	223	6	,	,	PUNCT
cana-3966	223	7	pp	pp	ADJ
cana-3966	223	8	.	.	PUNCT
cana-3966	224	1	641–655	641–655	NUM
cana-3966	224	2	,	,	PUNCT
cana-3966	224	3	2020	2020	NUM
cana-3966	224	4	,	,	PUNCT
cana-3966	224	5	doi	doi	NOUN
cana-3966	224	6	:	:	PUNCT
cana-3966	224	7	https://doi.org/10.1038/s41569-020-0379-7	https://doi.org/10.1038/s41569-020-0379-7	NUM
cana-3966	224	8	.	.	PUNCT
cana-3966	225	1	[	[	X
cana-3966	225	2	4	4	NUM
cana-3966	225	3	]	]	PUNCT
cana-3966	225	4	c.	c.	PROPN
cana-3966	225	5	r.	r.	PROPN
cana-3966	225	6	olsen	olsen	PROPN
cana-3966	225	7	,	,	PUNCT
cana-3966	225	8	r.	r.	PROPN
cana-3966	225	9	j.	j.	PROPN
cana-3966	225	10	mentz	mentz	PROPN
cana-3966	225	11	,	,	PUNCT
cana-3966	225	12	k.	k.	PROPN
cana-3966	225	13	j.	j.	PROPN
cana-3966	225	14	anstrom	anstrom	PROPN
cana-3966	225	15	,	,	PUNCT
cana-3966	225	16	d.	d.	PROPN
cana-3966	225	17	page	page	NOUN
cana-3966	225	18	,	,	PUNCT
cana-3966	225	19	and	and	CCONJ
cana-3966	225	20	p.	p.	NOUN
cana-3966	225	21	a.	a.	NOUN
cana-3966	225	22	patel	patel	PROPN
cana-3966	225	23	,	,	PUNCT
cana-3966	225	24	“	"	PUNCT
cana-3966	225	25	clinical	clinical	ADJ
cana-3966	225	26	applications	application	NOUN
cana-3966	225	27	of	of	ADP
cana-3966	225	28	machine	machine	NOUN
cana-3966	225	29	learning	learning	NOUN
cana-3966	225	30	in	in	ADP
cana-3966	225	31	the	the	DET
cana-3966	225	32	diagnosis	diagnosis	NOUN
cana-3966	225	33	,	,	PUNCT
cana-3966	225	34	classification	classification	NOUN
cana-3966	225	35	,	,	PUNCT
cana-3966	225	36	and	and	CCONJ
cana-3966	225	37	prediction	prediction	NOUN
cana-3966	225	38	of	of	ADP
cana-3966	225	39	heart	heart	NOUN
cana-3966	225	40	failure	failure	NOUN
cana-3966	225	41	,	,	PUNCT
cana-3966	225	42	”	"	PUNCT
cana-3966	225	43	am	be	AUX
cana-3966	225	44	.	.	PUNCT
cana-3966	226	1	heart	heart	PROPN
cana-3966	226	2	j.	j.	PROPN
cana-3966	226	3	,	,	PUNCT
cana-3966	226	4	vol	vol	NOUN
cana-3966	226	5	.	.	PROPN
cana-3966	226	6	229	229	NUM
cana-3966	226	7	,	,	PUNCT
cana-3966	226	8	pp	pp	ADJ
cana-3966	226	9	.	.	PUNCT
cana-3966	227	1	1–17	1–17	NOUN
cana-3966	227	2	,	,	PUNCT
cana-3966	227	3	2020	2020	NUM
cana-3966	227	4	,	,	PUNCT
cana-3966	227	5	doi	doi	NOUN
cana-3966	227	6	:	:	PUNCT
cana-3966	227	7	https://doi.org/10.1016/j.ahj.2020.07.009	https://doi.org/10.1016/j.ahj.2020.07.009	X
cana-3966	227	8	.	.	PUNCT
cana-3966	228	1	[	[	X
cana-3966	228	2	5	5	X
cana-3966	228	3	]	]	PUNCT
cana-3966	228	4	d.	d.	PROPN
cana-3966	228	5	chicco	chicco	PROPN
cana-3966	228	6	and	and	CCONJ
cana-3966	228	7	g.	g.	PROPN
cana-3966	228	8	jurman	jurman	PROPN
cana-3966	228	9	,	,	PUNCT
cana-3966	228	10	“	"	PUNCT
cana-3966	228	11	machine	machine	NOUN
cana-3966	228	12	learning	learning	NOUN
cana-3966	228	13	can	can	AUX
cana-3966	228	14	predict	predict	VERB
cana-3966	228	15	survival	survival	NOUN
cana-3966	228	16	of	of	ADP
cana-3966	228	17	patients	patient	NOUN
cana-3966	228	18	with	with	ADP
cana-3966	228	19	heart	heart	NOUN
cana-3966	228	20	failure	failure	NOUN
cana-3966	228	21	from	from	ADP
cana-3966	228	22	serum	serum	NOUN
cana-3966	228	23	creatinine	creatinine	NOUN
cana-3966	228	24	and	and	CCONJ
cana-3966	228	25	ejection	ejection	NOUN
cana-3966	228	26	fraction	fraction	NOUN
cana-3966	228	27	alone	alone	ADV
cana-3966	228	28	,	,	PUNCT
cana-3966	228	29	”	"	PUNCT
cana-3966	228	30	bmc	bmc	PROPN
cana-3966	228	31	med	med	PROPN
cana-3966	228	32	.	.	PUNCT
cana-3966	229	1	inform	inform	NOUN
cana-3966	229	2	.	.	PUNCT
cana-3966	230	1	decis	decis	PROPN
cana-3966	230	2	.	.	PROPN
cana-3966	230	3	,	,	PUNCT
cana-3966	230	4	vol	vol	NOUN
cana-3966	230	5	.	.	PROPN
cana-3966	230	6	20	20	NUM
cana-3966	230	7	,	,	PUNCT
cana-3966	230	8	pp	pp	PROPN
cana-3966	230	9	.	.	PUNCT
cana-3966	231	1	1–16	1–16	NOUN
cana-3966	231	2	,	,	PUNCT
cana-3966	231	3	2020	2020	NUM
cana-3966	231	4	,	,	PUNCT
cana-3966	231	5	doi	doi	NOUN
cana-3966	231	6	:	:	PUNCT
cana-3966	231	7	https://doi.org/10.1186/s12911020-1023-5	https://doi.org/10.1186/s12911020-1023-5	PROPN
cana-3966	231	8	.	.	PUNCT
cana-3966	232	1	[	[	X
cana-3966	232	2	6	6	NUM
cana-3966	232	3	]	]	PUNCT
cana-3966	232	4	r.	r.	PROPN
cana-3966	232	5	patel	patel	PROPN
cana-3966	232	6	,	,	PUNCT
cana-3966	232	7	t.	t.	PROPN
cana-3966	232	8	peesay	peesay	PROPN
cana-3966	232	9	,	,	PUNCT
cana-3966	232	10	v.	v.	PROPN
cana-3966	232	11	krishnan	krishnan	PROPN
cana-3966	232	12	,	,	PUNCT
cana-3966	232	13	j.	j.	PROPN
cana-3966	232	14	wilcox	wilcox	PROPN
cana-3966	232	15	,	,	PUNCT
cana-3966	232	16	l.	l.	PROPN
cana-3966	232	17	wilsbacher	wilsbacher	ADV
cana-3966	232	18	,	,	PUNCT
cana-3966	232	19	and	and	CCONJ
cana-3966	232	20	s.	s.	PROPN
cana-3966	232	21	s.	s.	PROPN
cana-3966	232	22	khan	khan	PROPN
cana-3966	232	23	,	,	PUNCT
cana-3966	232	24	“	"	PUNCT
cana-3966	232	25	prioritizing	prioritize	VERB
cana-3966	232	26	the	the	DET
cana-3966	232	27	primary	primary	ADJ
cana-3966	232	28	prevention	prevention	NOUN
cana-3966	232	29	of	of	ADP
cana-3966	232	30	heart	heart	NOUN
cana-3966	232	31	failure	failure	NOUN
cana-3966	232	32	:	:	PUNCT
cana-3966	232	33	measuring	measure	VERB
cana-3966	232	34	,	,	PUNCT
cana-3966	232	35	modifying	modify	VERB
cana-3966	232	36	and	and	CCONJ
cana-3966	232	37	monitoring	monitor	VERB
cana-3966	232	38	risk	risk	NOUN
cana-3966	232	39	,	,	PUNCT
cana-3966	232	40	”	"	PUNCT
cana-3966	232	41	prog	prog	PROPN
cana-3966	232	42	cardiovasc	cardiovasc	PROPN
cana-3966	232	43	dis	dis	PROPN
cana-3966	232	44	,	,	PUNCT
cana-3966	232	45	2024	2024	NUM
cana-3966	232	46	,	,	PUNCT
cana-3966	232	47	doi	doi	NOUN
cana-3966	232	48	:	:	PUNCT
cana-3966	232	49	https://doi.org/10.1016/j.pcad.2024.01.001	https://doi.org/10.1016/j.pcad.2024.01.001	NOUN
cana-3966	232	50	.	.	PUNCT
cana-3966	233	1	[	[	X
cana-3966	233	2	7	7	X
cana-3966	233	3	]	]	PUNCT
cana-3966	233	4	s.	s.	PROPN
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cana-3966	233	6	,	,	PUNCT
cana-3966	233	7	p.	p.	PROPN
cana-3966	233	8	c.	c.	PROPN
cana-3966	233	9	austin	austin	PROPN
cana-3966	233	10	,	,	PUNCT
cana-3966	233	11	h.	h.	PROPN
cana-3966	233	12	j.	j.	PROPN
cana-3966	233	13	ross	ross	PROPN
cana-3966	233	14	,	,	PUNCT
cana-3966	233	15	h.	h.	PROPN
cana-3966	233	16	abdel	abdel	PROPN
cana-3966	233	17	-	-	PUNCT
cana-3966	233	18	qadir	qadir	PROPN
cana-3966	233	19	,	,	PUNCT
cana-3966	233	20	c.	c.	PROPN
cana-3966	233	21	freitas	freitas	PROPN
cana-3966	233	22	,	,	PUNCT
cana-3966	233	23	g.	g.	PROPN
cana-3966	233	24	tomlinson	tomlinson	PROPN
cana-3966	233	25	,	,	PUNCT
cana-3966	233	26	d.	d.	PROPN
cana-3966	233	27	chicco	chicco	PROPN
cana-3966	233	28	,	,	PUNCT
cana-3966	233	29	m.	m.	NOUN
cana-3966	233	30	mahendiran	mahendiran	NOUN
cana-3966	233	31	,	,	PUNCT
cana-3966	233	32	p.	p.	PROPN
cana-3966	233	33	r.	r.	PROPN
cana-3966	233	34	lawler	lawler	PROPN
cana-3966	233	35	,	,	PUNCT
cana-3966	233	36	f.	f.	PROPN
cana-3966	233	37	billia	billia	PROPN
cana-3966	233	38	et	et	PROPN
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cana-3966	233	40	.	.	PROPN
cana-3966	233	41	,	,	PUNCT
cana-3966	233	42	“	"	PUNCT
cana-3966	233	43	machine	machine	NOUN
cana-3966	233	44	learning	learning	NOUN
cana-3966	233	45	vs.	vs.	ADP
cana-3966	233	46	conventional	conventional	ADJ
cana-3966	233	47	statistical	statistical	ADJ
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cana-3966	233	49	for	for	ADP
cana-3966	233	50	predicting	predict	VERB
cana-3966	233	51	heart	heart	NOUN
cana-3966	233	52	failure	failure	NOUN
cana-3966	233	53	readmission	readmission	NOUN
cana-3966	233	54	and	and	CCONJ
cana-3966	233	55	mortality	mortality	NOUN
cana-3966	233	56	,	,	PUNCT
cana-3966	233	57	”	"	PUNCT
cana-3966	233	58	esc	esc	NOUN
cana-3966	233	59	heart	heart	NOUN
cana-3966	233	60	fail	fail	VERB
cana-3966	233	61	.	.	PUNCT
cana-3966	234	1	,	,	PUNCT
cana-3966	234	2	vol	vol	NOUN
cana-3966	234	3	.	.	PROPN
cana-3966	234	4	8	8	NUM
cana-3966	234	5	,	,	PUNCT
cana-3966	234	6	no	no	INTJ
cana-3966	234	7	.	.	NOUN
cana-3966	234	8	1	1	NUM
cana-3966	234	9	,	,	PUNCT
cana-3966	234	10	pp	pp	ADJ
cana-3966	234	11	.	.	PUNCT
cana-3966	235	1	106–115	106–115	NUM
cana-3966	235	2	,	,	PUNCT
cana-3966	235	3	2021	2021	NUM
cana-3966	235	4	,	,	PUNCT
cana-3966	235	5	doi	doi	NOUN
cana-3966	235	6	:	:	PUNCT
cana-3966	235	7	https://doi.org/10.1002/ehf2.13073	https://doi.org/10.1002/ehf2.13073	NOUN
cana-3966	235	8	.	.	PUNCT
cana-3966	236	1	[	[	X
cana-3966	236	2	8	8	NUM
cana-3966	236	3	]	]	X
cana-3966	236	4	o.	o.	PROPN
cana-3966	236	5	miro	miro	PROPN
cana-3966	236	6	,	,	PUNCT
cana-3966	236	7	x.	x.	PROPN
cana-3966	236	8	rossello	rossello	PROPN
cana-3966	236	9	,	,	PUNCT
cana-3966	236	10	e.	e.	PROPN
cana-3966	236	11	platz	platz	PROPN
cana-3966	236	12	,	,	PUNCT
cana-3966	236	13	j.	j.	PROPN
cana-3966	236	14	masip	masip	PROPN
cana-3966	236	15	,	,	PUNCT
cana-3966	236	16	d.	d.	PROPN
cana-3966	236	17	m.	m.	PROPN
cana-3966	236	18	gualandro	gualandro	PROPN
cana-3966	236	19	,	,	PUNCT
cana-3966	236	20	w.	w.	PROPN
cana-3966	236	21	f.	f.	PROPN
cana-3966	236	22	peacock	peacock	PROPN
cana-3966	236	23	,	,	PUNCT
cana-3966	236	24	s.	s.	PROPN
cana-3966	236	25	price	price	PROPN
cana-3966	236	26	,	,	PUNCT
cana-3966	236	27	l.	l.	PROPN
cana-3966	236	28	cullen	cullen	PROPN
cana-3966	236	29	,	,	PUNCT
cana-3966	236	30	s.	s.	PROPN
cana-3966	236	31	disomma	disomma	PROPN
cana-3966	236	32	,	,	PUNCT
cana-3966	236	33	m.	m.	NOUN
cana-3966	236	34	t.	t.	PROPN
cana-3966	236	35	de	de	PROPN
cana-3966	236	36	oliveira	oliveira	PROPN
cana-3966	236	37	jr	jr	PROPN
cana-3966	236	38	et	et	PROPN
cana-3966	236	39	al	al	PROPN
cana-3966	236	40	.	.	PROPN
cana-3966	236	41	,	,	PUNCT
cana-3966	236	42	“	"	PUNCT
cana-3966	236	43	risk	risk	NOUN
cana-3966	236	44	stratification	stratification	NOUN
cana-3966	236	45	scores	score	NOUN
cana-3966	236	46	for	for	ADP
cana-3966	236	47	patients	patient	NOUN
cana-3966	236	48	with	with	ADP
cana-3966	236	49	acute	acute	ADJ
cana-3966	236	50	heart	heart	NOUN
cana-3966	236	51	failure	failure	NOUN
cana-3966	236	52	in	in	ADP
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cana-3966	236	55	department	department	NOUN
cana-3966	236	56	:	:	PUNCT
cana-3966	236	57	a	a	DET
cana-3966	236	58	systematic	systematic	ADJ
cana-3966	236	59	review	review	NOUN
cana-3966	236	60	,	,	PUNCT
cana-3966	236	61	”	"	PUNCT
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cana-3966	236	63	.	.	PUNCT
cana-3966	237	1	heart	heart	NOUN
cana-3966	237	2	j.	j.	PROPN
cana-3966	237	3	acute	acute	PROPN
cana-3966	237	4	cardiovasc	cardiovasc	PROPN
cana-3966	237	5	.	.	PUNCT
cana-3966	238	1	care	care	PROPN
cana-3966	238	2	,	,	PUNCT
cana-3966	238	3	vol	vol	NOUN
cana-3966	238	4	.	.	PROPN
cana-3966	238	5	9	9	NUM
cana-3966	238	6	,	,	PUNCT
cana-3966	238	7	no	no	INTJ
cana-3966	238	8	.	.	NOUN
cana-3966	238	9	5	5	NUM
cana-3966	238	10	,	,	PUNCT
cana-3966	238	11	pp	pp	ADJ
cana-3966	238	12	.	.	PUNCT
cana-3966	239	1	375–398	375–398	NUM
cana-3966	239	2	,	,	PUNCT
cana-3966	239	3	2020	2020	NUM
cana-3966	239	4	,	,	PUNCT
cana-3966	239	5	doi	doi	NOUN
cana-3966	239	6	:	:	PUNCT
cana-3966	239	7	https://doi.org/10.1177/2048872620930889	https://doi.org/10.1177/2048872620930889	PROPN
cana-3966	239	8	.	.	PUNCT
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cana-3966	240	2	https://doi.org/10.1007/s10741-021-10105-w	https://doi.org/10.1007/s10741-021-10105-w	PROPN
cana-3966	240	3	https://doi.org/10.1038/s41569-020-0379-7	https://doi.org/10.1038/s41569-020-0379-7	NUM
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cana-3966	240	5	https://doi.org/10.1186/s12911-020-1023-5	https://doi.org/10.1186/s12911-020-1023-5	NUM
cana-3966	240	6	https://doi.org/10.1186/s12911-020-1023-5	https://doi.org/10.1186/s12911-020-1023-5	NUM
cana-3966	240	7	https://doi.org/10.1016/j.pcad.2024.01.001	https://doi.org/10.1016/j.pcad.2024.01.001	PROPN
cana-3966	240	8	https://doi.org/10.1002/ehf2.13073	https://doi.org/10.1002/ehf2.13073	NOUN
cana-3966	241	1	https://doi.org/10.1177/2048872620930889	https://doi.org/10.1177/2048872620930889	NOUN
cana-3966	241	2	communications	communication	NOUN
cana-3966	241	3	on	on	ADP
cana-3966	241	4	applied	apply	VERB
cana-3966	241	5	nonlinear	nonlinear	ADJ
cana-3966	241	6	analysis	analysis	NOUN
cana-3966	241	7	issn	issn	NOUN
cana-3966	241	8	:	:	PUNCT
cana-3966	241	9	1074	1074	NUM
cana-3966	241	10	-	-	PUNCT
cana-3966	241	11	133x	133x	NUM
cana-3966	241	12	vol	vol	NOUN
cana-3966	241	13	32	32	NUM
cana-3966	241	14	no	no	NOUN
cana-3966	241	15	.	.	PUNCT
cana-3966	242	1	9s	9s	NUM
cana-3966	242	2	(	(	PUNCT
cana-3966	242	3	2025	2025	NUM
cana-3966	242	4	)	)	PUNCT
cana-3966	242	5	602	602	NUM
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cana-3966	243	1	[	[	X
cana-3966	243	2	9	9	NUM
cana-3966	243	3	]	]	PUNCT
cana-3966	243	4	d.	d.	PROPN
cana-3966	243	5	t.	t.	PROPN
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cana-3966	243	10	,	,	PUNCT
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cana-3966	243	12	sud	sud	PROPN
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cana-3966	243	20	m.	m.	PROPN
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cana-3966	243	22	,	,	PUNCT
cana-3966	243	23	p.	p.	PROPN
cana-3966	243	24	c.	c.	PROPN
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cana-3966	243	26	,	,	PUNCT
cana-3966	243	27	d.	d.	PROPN
cana-3966	243	28	s.	s.	PROPN
cana-3966	243	29	lee	lee	PROPN
cana-3966	243	30	,	,	PUNCT
cana-3966	243	31	i.	i.	PROPN
cana-3966	243	32	roifman	roifman	PROPN
cana-3966	243	33	,	,	PUNCT
cana-3966	243	34	g.	g.	PROPN
cana-3966	243	35	thanassoulis	thanassoulis	PROPN
cana-3966	243	36	et	et	PROPN
cana-3966	243	37	al	al	PROPN
cana-3966	243	38	.	.	PROPN
cana-3966	243	39	,	,	PUNCT
cana-3966	243	40	“	"	PUNCT
cana-3966	243	41	calibration	calibration	NOUN
cana-3966	243	42	and	and	CCONJ
cana-3966	243	43	discrimination	discrimination	NOUN
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cana-3966	243	45	the	the	DET
cana-3966	243	46	framingham	framingham	PROPN
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cana-3966	243	48	score	score	NOUN
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cana-3966	243	51	pooled	pooled	ADJ
cana-3966	243	52	cohort	cohort	NOUN
cana-3966	243	53	equations	equation	NOUN
cana-3966	243	54	,	,	PUNCT
cana-3966	243	55	”	"	PUNCT
cana-3966	243	56	cmaj	cmaj	PROPN
cana-3966	243	57	,	,	PUNCT
cana-3966	243	58	vol	vol	NOUN
cana-3966	243	59	.	.	PROPN
cana-3966	243	60	192	192	NUM
cana-3966	243	61	,	,	PUNCT
cana-3966	243	62	no	no	INTJ
cana-3966	243	63	.	.	NOUN
cana-3966	243	64	17	17	NUM
cana-3966	243	65	,	,	PUNCT
cana-3966	243	66	pp	pp	ADV
cana-3966	243	67	.	.	PUNCT
cana-3966	244	1	e442	e442	PROPN
cana-3966	244	2	–	–	PUNCT
cana-3966	244	3	e449	e449	PROPN
cana-3966	244	4	,	,	PUNCT
cana-3966	244	5	2020	2020	NUM
cana-3966	244	6	,	,	PUNCT
cana-3966	244	7	doi	doi	NOUN
cana-3966	244	8	:	:	PUNCT
cana-3966	244	9	https://doi.org/10.1503/cmaj.190848	https://doi.org/10.1503/cmaj.190848	X
cana-3966	244	10	.	.	PUNCT
cana-3966	245	1	[	[	X
cana-3966	245	2	10	10	NUM
cana-3966	245	3	]	]	PUNCT
cana-3966	245	4	m.	m.	NOUN
cana-3966	245	5	shuvy	shuvy	PROPN
cana-3966	245	6	,	,	PUNCT
cana-3966	245	7	d.	d.	PROPN
cana-3966	245	8	r.	r.	PROPN
cana-3966	245	9	zwas	zwas	PROPN
cana-3966	245	10	,	,	PUNCT
cana-3966	245	11	a.	a.	PROPN
cana-3966	245	12	keren	keren	PROPN
cana-3966	245	13	,	,	PUNCT
cana-3966	245	14	and	and	CCONJ
cana-3966	245	15	i.	i.	PROPN
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cana-3966	245	17	,	,	PUNCT
cana-3966	245	18	“	"	PUNCT
cana-3966	245	19	value	value	NOUN
cana-3966	245	20	of	of	ADP
cana-3966	245	21	the	the	DET
cana-3966	245	22	cha2ds2	cha2ds2	ADJ
cana-3966	245	23	-	-	PUNCT
cana-3966	245	24	vascscore	vascscore	NOUN
cana-3966	245	25	for	for	ADP
cana-3966	245	26	predicting	predict	VERB
cana-3966	245	27	outcome	outcome	NOUN
cana-3966	245	28	in	in	ADP
cana-3966	245	29	patients	patient	NOUN
cana-3966	245	30	with	with	ADP
cana-3966	245	31	heart	heart	NOUN
cana-3966	245	32	failure	failure	NOUN
cana-3966	245	33	,	,	PUNCT
cana-3966	245	34	”	"	PUNCT
cana-3966	245	35	esc	esc	NOUN
cana-3966	245	36	heart	heart	NOUN
cana-3966	245	37	fail	fail	VERB
cana-3966	245	38	.	.	PUNCT
cana-3966	246	1	,	,	PUNCT
cana-3966	246	2	vol	vol	NOUN
cana-3966	246	3	.	.	PROPN
cana-3966	247	1	7	7	NUM
cana-3966	247	2	,	,	PUNCT
cana-3966	247	3	no	no	INTJ
cana-3966	247	4	.	.	NOUN
cana-3966	247	5	5	5	NUM
cana-3966	247	6	,	,	PUNCT
cana-3966	247	7	pp	pp	ADJ
cana-3966	247	8	.	.	PUNCT
cana-3966	248	1	2553–2560	2553–2560	NUM
cana-3966	248	2	,	,	PUNCT
cana-3966	248	3	2020	2020	NUM
cana-3966	248	4	,	,	PUNCT
cana-3966	248	5	doi	doi	NOUN
cana-3966	248	6	:	:	PUNCT
cana-3966	248	7	https://doi.org/10.1002/ehf2.12831	https://doi.org/10.1002/ehf2.12831	PROPN
cana-3966	248	8	.	.	PUNCT
cana-3966	249	1	[	[	X
cana-3966	249	2	11	11	NUM
cana-3966	249	3	]	]	X
cana-3966	249	4	m.s	m.s	PROPN
cana-3966	249	5	.	.	PROPN
cana-3966	249	6	singh	singh	PROPN
cana-3966	249	7	,	,	PUNCT
cana-3966	249	8	k.	k.	PROPN
cana-3966	249	9	thongam	thongam	PROPN
cana-3966	249	10	,	,	PUNCT
cana-3966	249	11	p.	p.	PROPN
cana-3966	249	12	choudhary	choudhary	PROPN
cana-3966	249	13	,	,	PUNCT
cana-3966	249	14	p.k	p.k	PROPN
cana-3966	249	15	.	.	PUNCT
cana-3966	249	16	bhagat	bhagat	PROPN
cana-3966	249	17	,	,	PUNCT
cana-3966	249	18	“	"	PUNCT
cana-3966	249	19	an	an	DET
cana-3966	249	20	integrated	integrate	VERB
cana-3966	249	21	machine	machine	NOUN
cana-3966	249	22	learning	learn	VERB
cana-3966	249	23	approach	approach	NOUN
cana-3966	249	24	for	for	ADP
cana-3966	249	25	congestive	congestive	ADJ
cana-3966	249	26	heart	heart	NOUN
cana-3966	249	27	failure	failure	NOUN
cana-3966	249	28	prediction	prediction	NOUN
cana-3966	249	29	”	"	PUNCT
cana-3966	249	30	,	,	PUNCT
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cana-3966	249	36	,	,	PUNCT
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cana-3966	249	38	:	:	PUNCT
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cana-3966	250	14	:	:	PUNCT
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cana-3966	252	21	approach	approach	NOUN
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cana-3966	252	29	.	.	PUNCT
cana-3966	252	30	”	"	PUNCT
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cana-3966	253	2	.	.	PUNCT
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cana-3966	254	2	.	.	PUNCT
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cana-3966	255	2	.	.	PUNCT
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cana-3966	257	6	,	,	PUNCT
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cana-3966	257	8	.	.	PUNCT
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cana-3966	258	2	,	,	PUNCT
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cana-3966	258	4	,	,	PUNCT
cana-3966	258	5	doi	doi	NOUN
cana-3966	258	6	:	:	PUNCT
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cana-3966	258	8	.	.	PUNCT
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cana-3966	259	12	and	and	CCONJ
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cana-3966	259	16	for	for	ADP
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cana-3966	259	23	in	in	ADP
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cana-3966	259	25	recordings	recording	NOUN
cana-3966	259	26	,	,	PUNCT
cana-3966	259	27	”	"	PUNCT
cana-3966	259	28	comput	comput	NOUN
cana-3966	259	29	.	.	PUNCT
cana-3966	260	1	methods	method	NOUN
cana-3966	260	2	programs	program	NOUN
cana-3966	260	3	biomed	biome	VERB
cana-3966	260	4	.	.	PUNCT
cana-3966	261	1	,	,	PUNCT
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cana-3966	261	5	,	,	PUNCT
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cana-3966	261	7	105940	105940	NUM
cana-3966	261	8	,	,	PUNCT
cana-3966	261	9	2021	2021	NUM
cana-3966	261	10	,	,	PUNCT
cana-3966	261	11	doi	doi	NOUN
cana-3966	261	12	:	:	PUNCT
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cana-3966	261	14	.	.	PUNCT
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cana-3966	262	8	k.	k.	PROPN
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cana-3966	262	12	and	and	CCONJ
cana-3966	262	13	r.	r.	PROPN
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cana-3966	262	19	of	of	ADP
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cana-3966	262	22	prediction	prediction	NOUN
cana-3966	262	23	using	use	VERB
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cana-3966	262	25	learning	learning	NOUN
cana-3966	262	26	and	and	CCONJ
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cana-3966	262	28	neural	neural	ADJ
cana-3966	262	29	networks	network	NOUN
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cana-3966	262	34	,	,	PUNCT
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cana-3966	263	1	j.	j.	PROPN
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cana-3966	265	2	.	.	PUNCT
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cana-3966	265	5	,	,	PUNCT
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cana-3966	265	9	,	,	PUNCT
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cana-3966	265	11	.	.	NOUN
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cana-3966	265	18	:	:	PUNCT
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cana-3966	265	20	_	_	ADP
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cana-3966	265	30	-	-	PUNCT
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cana-3966	265	36	-	-	PUNCT
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cana-3966	265	38	-	-	PUNCT
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cana-3966	265	42	-	-	PUNCT
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cana-3966	265	46	-	-	PUNCT
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cana-3966	265	48	-	-	PUNCT
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cana-3966	265	50	-	-	PUNCT
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cana-3966	272	19	,	,	PUNCT
cana-3966	272	20	and	and	CCONJ
cana-3966	272	21	n.	n.	PROPN
cana-3966	272	22	fenton	fenton	PROPN
cana-3966	272	23	,	,	PUNCT
cana-3966	272	24	“	"	PUNCT
cana-3966	272	25	a	a	DET
cana-3966	272	26	comprehensive	comprehensive	ADJ
cana-3966	272	27	scoping	scoping	NOUN
cana-3966	272	28	review	review	NOUN
cana-3966	272	29	of	of	ADP
cana-3966	272	30	bayesian	bayesian	NOUN
cana-3966	272	31	networks	network	NOUN
cana-3966	272	32	in	in	ADP
cana-3966	272	33	healthcare	healthcare	PROPN
cana-3966	272	34	:	:	PUNCT
cana-3966	272	35	past	past	ADJ
cana-3966	272	36	,	,	PUNCT
cana-3966	272	37	present	present	ADJ
cana-3966	272	38	and	and	CCONJ
cana-3966	272	39	future	future	ADJ
cana-3966	272	40	,	,	PUNCT
cana-3966	272	41	”	"	PUNCT
cana-3966	272	42	j.	j.	PROPN
cana-3966	272	43	med	med	PROPN
cana-3966	272	44	.	.	PUNCT
cana-3966	273	1	artif	artif	PROPN
cana-3966	273	2	.	.	PUNCT
cana-3966	274	1	intell	intell	PROPN
cana-3966	274	2	.	.	PUNCT
cana-3966	274	3	,	,	PUNCT
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cana-3966	274	5	.	.	PROPN
cana-3966	274	6	117	117	NUM
cana-3966	274	7	,	,	PUNCT
cana-3966	274	8	p.	p.	NOUN
cana-3966	274	9	102108	102108	NUM
cana-3966	274	10	,	,	PUNCT
cana-3966	274	11	2021	2021	NUM
cana-3966	274	12	,	,	PUNCT
cana-3966	274	13	doi	doi	NOUN
cana-3966	274	14	:	:	PUNCT
cana-3966	274	15	https://doi.org/10.1016/j.artmed.2021.102108	https://doi.org/10.1016/j.artmed.2021.102108	NOUN
cana-3966	274	16	.	.	PUNCT
cana-3966	275	1	[	[	X
cana-3966	275	2	19	19	NUM
cana-3966	275	3	]	]	X
cana-3966	275	4	o.	o.	PROPN
cana-3966	275	5	strianese	strianese	PROPN
cana-3966	275	6	,	,	PUNCT
cana-3966	275	7	f.	f.	PROPN
cana-3966	275	8	rizzo	rizzo	PROPN
cana-3966	275	9	,	,	PUNCT
cana-3966	275	10	m.	m.	NOUN
cana-3966	275	11	ciccarelli	ciccarelli	PROPN
cana-3966	275	12	,	,	PUNCT
cana-3966	275	13	g.	g.	PROPN
cana-3966	275	14	galasso	galasso	NOUN
cana-3966	275	15	,	,	PUNCT
cana-3966	275	16	y.	y.	PROPN
cana-3966	275	17	d’agostino	d’agostino	PROPN
cana-3966	275	18	,	,	PUNCT
cana-3966	275	19	a.	a.	NOUN
cana-3966	275	20	salvati	salvati	PROPN
cana-3966	275	21	,	,	PUNCT
cana-3966	275	22	c.	c.	PROPN
cana-3966	275	23	del	del	PROPN
cana-3966	275	24	giudice	giudice	PROPN
cana-3966	275	25	,	,	PUNCT
cana-3966	275	26	p.	p.	NOUN
cana-3966	275	27	tesorio	tesorio	NOUN
cana-3966	275	28	,	,	PUNCT
cana-3966	275	29	and	and	CCONJ
cana-3966	275	30	m.	m.	PROPN
cana-3966	275	31	r.	r.	PROPN
cana-3966	275	32	rusciano	rusciano	PROPN
cana-3966	275	33	,	,	PUNCT
cana-3966	275	34	“	"	PUNCT
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cana-3966	275	36	and	and	CCONJ
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cana-3966	275	38	medicine	medicine	NOUN
cana-3966	275	39	:	:	PUNCT
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cana-3966	275	43	improves	improve	VERB
cana-3966	275	44	the	the	DET
cana-3966	275	45	management	management	NOUN
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cana-3966	275	47	cardiovascular	cardiovascular	ADJ
cana-3966	275	48	and	and	CCONJ
cana-3966	275	49	neurodegenerative	neurodegenerative	ADJ
cana-3966	275	50	disease	disease	NOUN
cana-3966	275	51	,	,	PUNCT
cana-3966	275	52	”	"	PUNCT
cana-3966	275	53	genes	gene	NOUN
cana-3966	275	54	,	,	PUNCT
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cana-3966	275	56	.	.	PROPN
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cana-3966	275	58	,	,	PUNCT
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cana-3966	275	60	.	.	NOUN
cana-3966	275	61	7	7	NUM
cana-3966	275	62	,	,	PUNCT
cana-3966	275	63	p.	p.	NOUN
cana-3966	275	64	747	747	NUM
cana-3966	275	65	,	,	PUNCT
cana-3966	275	66	2020	2020	NUM
cana-3966	275	67	,	,	PUNCT
cana-3966	275	68	doi	doi	NOUN
cana-3966	275	69	:	:	PUNCT
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cana-3966	275	71	.	.	PUNCT
cana-3966	276	1	[	[	X
cana-3966	276	2	20	20	NUM
cana-3966	276	3	]	]	PUNCT
cana-3966	276	4	z.	z.	PROPN
cana-3966	276	5	azizi	azizi	PROPN
cana-3966	276	6	,	,	PUNCT
cana-3966	276	7	j.	j.	PROPN
cana-3966	276	8	r.	r.	PROPN
cana-3966	276	9	golbus	golbus	PROPN
cana-3966	276	10	,	,	PUNCT
cana-3966	276	11	e.	e.	PROPN
cana-3966	276	12	m.	m.	PROPN
cana-3966	276	13	spaulding	spaulding	PROPN
cana-3966	276	14	,	,	PUNCT
cana-3966	277	1	p.	p.	PROPN
cana-3966	277	2	h.	h.	PROPN
cana-3966	277	3	hwang	hwang	PROPN
cana-3966	277	4	,	,	PUNCT
cana-3966	277	5	a.	a.	PROPN
cana-3966	277	6	l.	l.	PROPN
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cana-3966	277	8	,	,	PUNCT
cana-3966	277	9	k.	k.	PROPN
cana-3966	277	10	lacar	lacar	PROPN
cana-3966	277	11	,	,	PUNCT
cana-3966	277	12	m.	m.	PROPN
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cana-3966	277	15	,	,	PUNCT
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cana-3966	277	17	a.	a.	PROPN
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cana-3966	277	19	,	,	PUNCT
cana-3966	277	20	n.	n.	PROPN
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cana-3966	277	22	,	,	PUNCT
cana-3966	277	23	l.	l.	PROPN
cana-3966	277	24	c.	c.	PROPN
cana-3966	277	25	brant	brant	PROPN
cana-3966	277	26	et	et	PROPN
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cana-3966	277	28	.	.	PROPN
cana-3966	277	29	,	,	PUNCT
cana-3966	277	30	“	"	PUNCT
cana-3966	277	31	challenge	challenge	NOUN
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cana-3966	277	36	in	in	ADP
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cana-3966	277	39	:	:	PUNCT
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cana-3966	277	49	,	,	PUNCT
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cana-3966	277	51	j.	j.	PROPN
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cana-3966	277	53	.	.	PUNCT
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cana-3966	278	3	.	.	PUNCT
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cana-3966	278	8	,	,	PUNCT
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cana-3966	278	12	,	,	PUNCT
cana-3966	278	13	p.	p.	NOUN
cana-3966	278	14	e030952	e030952	PROPN
cana-3966	278	15	,	,	PUNCT
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cana-3966	278	17	,	,	PUNCT
cana-3966	278	18	doi	doi	NOUN
cana-3966	278	19	:	:	PUNCT
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cana-3966	278	21	.	.	PUNCT
cana-3966	279	1	[	[	X
cana-3966	279	2	21	21	NUM
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cana-3966	279	8	“	"	PUNCT
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cana-3966	279	13	:	:	PUNCT
cana-3966	279	14	a	a	DET
cana-3966	279	15	contemporary	contemporary	ADJ
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cana-3966	279	17	,	,	PUNCT
cana-3966	279	18	”	"	PUNCT
cana-3966	279	19	circ	circ	NOUN
cana-3966	279	20	.	.	PUNCT
cana-3966	280	1	res	re	NOUN
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cana-3966	280	7	,	,	PUNCT
cana-3966	280	8	no	no	INTJ
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cana-3966	280	11	,	,	PUNCT
cana-3966	280	12	pp	pp	ADJ
cana-3966	280	13	.	.	PUNCT
cana-3966	281	1	1421	1421	NUM
cana-3966	281	2	–	–	PUNCT
cana-3966	281	3	1434	1434	NUM
cana-3966	281	4	,	,	PUNCT
cana-3966	281	5	2021	2021	NUM
cana-3966	281	6	,	,	PUNCT
cana-3966	281	7	doi	doi	NOUN
cana-3966	281	8	:	:	PUNCT
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cana-3966	281	10	.	.	PUNCT
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cana-3966	282	32	“	"	PUNCT
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cana-3966	282	50	,	,	PUNCT
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cana-3966	283	7	,	,	PUNCT
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cana-3966	283	9	.	.	PUNCT
cana-3966	284	1	23–34	23–34	NUM
cana-3966	284	2	,	,	PUNCT
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cana-3966	284	4	,	,	PUNCT
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cana-3966	284	7	https://doi.org/10.1007/s10741-020-10007-3	https://doi.org/10.1007/s10741-020-10007-3	NUM
cana-3966	284	8	.	.	PUNCT
cana-3966	285	1	[	[	X
cana-3966	285	2	23	23	NUM
cana-3966	285	3	]	]	PUNCT
cana-3966	285	4	k.	k.	PROPN
cana-3966	285	5	s.	s.	PROPN
cana-3966	285	6	adewole	adewole	PROPN
cana-3966	285	7	,	,	PUNCT
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cana-3966	285	9	g.	g.	PROPN
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cana-3966	285	42	“	"	PUNCT
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cana-3966	285	61	”	"	PUNCT
cana-3966	285	62	in	in	ADP
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cana-3966	285	65	systems	system	NOUN
cana-3966	285	66	in	in	ADP
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cana-3966	285	69	care	care	NOUN
cana-3966	285	70	.	.	PUNCT
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cana-3966	286	2	,	,	PUNCT
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cana-3966	286	4	,	,	PUNCT
cana-3966	286	5	pp	pp	ADV
cana-3966	286	6	.	.	PUNCT
cana-3966	287	1	105–145	105–145	NUM
cana-3966	287	2	,	,	PUNCT
cana-3966	287	3	doi	doi	NOUN
cana-3966	287	4	:	:	PUNCT
cana-3966	287	5	https://doi.org/10.1016/b978-0-12-821187-8.00005-8	https://doi.org/10.1016/b978-0-12-821187-8.00005-8	ADJ
cana-3966	287	6	.	.	PUNCT
cana-3966	288	1	[	[	X
cana-3966	288	2	24	24	NUM
cana-3966	288	3	]	]	PUNCT
cana-3966	288	4	retrieved	retrieve	VERB
cana-3966	288	5	from	from	ADP
cana-3966	288	6	:	:	PUNCT
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