id	sid	tid	token	lemma	pos
cana-2482	1	1	communications	communication	NOUN
cana-2482	1	2	on	on	ADP
cana-2482	1	3	applied	apply	VERB
cana-2482	1	4	nonlinear	nonlinear	ADJ
cana-2482	1	5	analysis	analysis	NOUN
cana-2482	1	6	issn	issn	NOUN
cana-2482	1	7	:	:	PUNCT
cana-2482	1	8	1074	1074	NUM
cana-2482	1	9	-	-	PUNCT
cana-2482	1	10	133x	133x	NUM
cana-2482	1	11	vol	vol	NOUN
cana-2482	1	12	32	32	NUM
cana-2482	1	13	no	no	NOUN
cana-2482	1	14	.	.	NOUN
cana-2482	1	15	3	3	NUM
cana-2482	1	16	(	(	PUNCT
cana-2482	1	17	2025	2025	NUM
cana-2482	1	18	)	)	PUNCT
cana-2482	2	1	677	677	NUM
cana-2482	2	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	2	3	detection	detection	NOUN
cana-2482	2	4	of	of	ADP
cana-2482	2	5	renovascular	renovascular	ADJ
cana-2482	2	6	hypertension	hypertension	NOUN
cana-2482	2	7	using	use	VERB
cana-2482	2	8	hybrid	hybrid	ADJ
cana-2482	2	9	deep	deep	ADJ
cana-2482	2	10	learning	learning	NOUN
cana-2482	2	11	technique	technique	NOUN
cana-2482	2	12	arthi	arthi	PROPN
cana-2482	2	13	k	k	PROPN
cana-2482	2	14	#	#	SYM
cana-2482	2	15	1	1	NUM
cana-2482	2	16	,	,	PUNCT
cana-2482	2	17	dr	dr	PROPN
cana-2482	2	18	.	.	PROPN
cana-2482	2	19	venkatakrishnan	venkatakrishnan	PROPN
cana-2482	2	20	s	s	PART
cana-2482	2	21	*	*	NOUN
cana-2482	2	22	2	2	NUM
cana-2482	2	23	#	#	SYM
cana-2482	2	24	1	1	NUM
cana-2482	2	25	research	research	NOUN
cana-2482	2	26	scholar	scholar	NOUN
cana-2482	2	27	,	,	PUNCT
cana-2482	2	28	department	department	NOUN
cana-2482	2	29	of	of	ADP
cana-2482	2	30	computer	computer	PROPN
cana-2482	2	31	&	&	CCONJ
cana-2482	2	32	information	information	PROPN
cana-2482	2	33	science	science	PROPN
cana-2482	2	34	,	,	PUNCT
cana-2482	2	35	annamalai	annamalai	PROPN
cana-2482	2	36	university	university	PROPN
cana-2482	2	37	,	,	PUNCT
cana-2482	2	38	chidambaram	chidambaram	PROPN
cana-2482	2	39	,	,	PUNCT
cana-2482	2	40	tamilnadu	tamilnadu	NOUN
cana-2482	2	41	,	,	PUNCT
cana-2482	2	42	india	india	PROPN
cana-2482	2	43	*	*	PUNCT
cana-2482	2	44	2assistant	2assistant	PROPN
cana-2482	2	45	professor	professor	NOUN
cana-2482	2	46	,	,	PUNCT
cana-2482	2	47	department	department	NOUN
cana-2482	2	48	of	of	ADP
cana-2482	2	49	mechanical	mechanical	ADJ
cana-2482	2	50	engineering	engineering	PROPN
cana-2482	2	51	,	,	PUNCT
cana-2482	2	52	annamalai	annamalai	PROPN
cana-2482	2	53	university	university	PROPN
cana-2482	2	54	,	,	PUNCT
cana-2482	2	55	chidambaram	chidambaram	PROPN
cana-2482	2	56	,	,	PUNCT
cana-2482	2	57	tamilnadu	tamilnadu	PROPN
cana-2482	2	58	,	,	PUNCT
cana-2482	2	59	india	india	PROPN
cana-2482	2	60	1	1	NUM
cana-2482	2	61	targetsanity6@gmail.com	targetsanity6@gmail.com	X
cana-2482	2	62	,	,	PUNCT
cana-2482	2	63	2	2	NUM
cana-2482	2	64	csn.venkat@gmail.com	csn.venkat@gmail.com	NOUN
cana-2482	2	65	article	article	NOUN
cana-2482	2	66	history	history	NOUN
cana-2482	2	67	:	:	PUNCT
cana-2482	2	68	received	receive	VERB
cana-2482	2	69	:	:	PUNCT
cana-2482	2	70	10	10	NUM
cana-2482	2	71	-	-	SYM
cana-2482	2	72	08	08	NUM
cana-2482	2	73	-	-	PUNCT
cana-2482	2	74	2024	2024	NUM
cana-2482	2	75	revised	revise	VERB
cana-2482	2	76	:	:	PUNCT
cana-2482	2	77	30	30	NUM
cana-2482	2	78	-	-	SYM
cana-2482	2	79	09	09	NUM
cana-2482	2	80	-	-	PUNCT
cana-2482	2	81	2024	2024	NUM
cana-2482	2	82	accepted	accept	VERB
cana-2482	2	83	:	:	PUNCT
cana-2482	2	84	11	11	NUM
cana-2482	2	85	-	-	SYM
cana-2482	2	86	10	10	NUM
cana-2482	2	87	-	-	PUNCT
cana-2482	2	88	2024	2024	NUM
cana-2482	2	89	abstract	abstract	NOUN
cana-2482	2	90	:	:	PUNCT
cana-2482	2	91	renovascular	renovascular	ADJ
cana-2482	2	92	hypertension	hypertension	NOUN
cana-2482	2	93	is	be	AUX
cana-2482	2	94	a	a	DET
cana-2482	2	95	type	type	NOUN
cana-2482	2	96	of	of	ADP
cana-2482	2	97	secondary	secondary	ADJ
cana-2482	2	98	hypertension	hypertension	NOUN
cana-2482	2	99	that	that	PRON
cana-2482	2	100	is	be	AUX
cana-2482	2	101	difficult	difficult	ADJ
cana-2482	2	102	to	to	PART
cana-2482	2	103	diagnose	diagnose	VERB
cana-2482	2	104	and	and	CCONJ
cana-2482	2	105	monitor	monitor	VERB
cana-2482	2	106	due	due	ADP
cana-2482	2	107	to	to	ADP
cana-2482	2	108	its	its	PRON
cana-2482	2	109	complexity	complexity	NOUN
cana-2482	2	110	and	and	CCONJ
cana-2482	2	111	dependence	dependence	NOUN
cana-2482	2	112	on	on	ADP
cana-2482	2	113	many	many	ADJ
cana-2482	2	114	weak	weak	ADJ
cana-2482	2	115	bodies	body	NOUN
cana-2482	2	116	,	,	PUNCT
cana-2482	2	117	resulting	result	VERB
cana-2482	2	118	from	from	ADP
cana-2482	2	119	the	the	DET
cana-2482	2	120	narrowing	narrowing	NOUN
cana-2482	2	121	of	of	ADP
cana-2482	2	122	the	the	DET
cana-2482	2	123	arteries	artery	NOUN
cana-2482	2	124	feeding	feed	VERB
cana-2482	2	125	the	the	DET
cana-2482	2	126	kidney	kidney	NOUN
cana-2482	2	127	.	.	PUNCT
cana-2482	3	1	this	this	DET
cana-2482	3	2	study	study	NOUN
cana-2482	3	3	presents	present	VERB
cana-2482	3	4	a	a	DET
cana-2482	3	5	novel	novel	ADJ
cana-2482	3	6	hybrid	hybrid	ADJ
cana-2482	3	7	deep	deep	ADJ
cana-2482	3	8	learning	learning	NOUN
cana-2482	3	9	model	model	NOUN
cana-2482	3	10	that	that	PRON
cana-2482	3	11	combines	combine	VERB
cana-2482	3	12	convolutional	convolutional	ADJ
cana-2482	3	13	neural	neural	ADJ
cana-2482	3	14	network	network	NOUN
cana-2482	3	15	(	(	PUNCT
cana-2482	3	16	cnn	cnn	PROPN
cana-2482	3	17	)	)	PUNCT
cana-2482	3	18	and	and	CCONJ
cana-2482	3	19	short	short	ADJ
cana-2482	3	20	-	-	PUNCT
cana-2482	3	21	term	term	NOUN
cana-2482	3	22	temporal	temporal	ADJ
cana-2482	3	23	(	(	PUNCT
cana-2482	3	24	lstm	lstm	NOUN
cana-2482	3	25	)	)	PUNCT
cana-2482	3	26	network	network	NOUN
cana-2482	3	27	to	to	PART
cana-2482	3	28	predict	predict	VERB
cana-2482	3	29	renovascular	renovascular	ADJ
cana-2482	3	30	blood	blood	NOUN
cana-2482	3	31	pressure	pressure	NOUN
cana-2482	3	32	based	base	VERB
cana-2482	3	33	on	on	ADP
cana-2482	3	34	data	datum	NOUN
cana-2482	3	35	.	.	PUNCT
cana-2482	4	1	the	the	DET
cana-2482	4	2	proposed	propose	VERB
cana-2482	4	3	model	model	NOUN
cana-2482	4	4	uses	use	VERB
cana-2482	4	5	the	the	DET
cana-2482	4	6	spatial	spatial	ADJ
cana-2482	4	7	feature	feature	NOUN
cana-2482	4	8	extraction	extraction	NOUN
cana-2482	4	9	capabilities	capability	NOUN
cana-2482	4	10	of	of	ADP
cana-2482	4	11	cnns	cnn	NOUN
cana-2482	4	12	to	to	PART
cana-2482	4	13	identify	identify	VERB
cana-2482	4	14	significant	significant	ADJ
cana-2482	4	15	patterns	pattern	NOUN
cana-2482	4	16	in	in	ADP
cana-2482	4	17	various	various	ADJ
cana-2482	4	18	health	health	NOUN
cana-2482	4	19	data	datum	NOUN
cana-2482	4	20	such	such	ADJ
cana-2482	4	21	as	as	ADP
cana-2482	4	22	heart	heart	NOUN
cana-2482	4	23	rate	rate	NOUN
cana-2482	4	24	,	,	PUNCT
cana-2482	4	25	blood	blood	NOUN
cana-2482	4	26	pressure	pressure	NOUN
cana-2482	4	27	,	,	PUNCT
cana-2482	4	28	and	and	CCONJ
cana-2482	4	29	blood	blood	NOUN
cana-2482	4	30	oxygen	oxygen	NOUN
cana-2482	4	31	,	,	PUNCT
cana-2482	4	32	while	while	SCONJ
cana-2482	4	33	the	the	DET
cana-2482	4	34	lstm	lstm	PROPN
cana-2482	4	35	network	network	NOUN
cana-2482	4	36	manages	manage	VERB
cana-2482	4	37	physical	physical	ADJ
cana-2482	4	38	time	time	NOUN
cana-2482	4	39	to	to	PART
cana-2482	4	40	monitor	monitor	VERB
cana-2482	4	41	specific	specific	ADJ
cana-2482	4	42	patients	patient	NOUN
cana-2482	4	43	in	in	ADP
cana-2482	4	44	real	real	ADJ
cana-2482	4	45	time	time	NOUN
cana-2482	4	46	.	.	PUNCT
cana-2482	5	1	iot	iot	PROPN
cana-2482	5	2	devices	device	NOUN
cana-2482	5	3	continuously	continuously	ADV
cana-2482	5	4	collect	collect	VERB
cana-2482	5	5	medical	medical	ADJ
cana-2482	5	6	data	datum	NOUN
cana-2482	5	7	and	and	CCONJ
cana-2482	5	8	instantly	instantly	ADV
cana-2482	5	9	transmit	transmit	VERB
cana-2482	5	10	it	it	PRON
cana-2482	5	11	to	to	ADP
cana-2482	5	12	the	the	DET
cana-2482	5	13	model	model	NOUN
cana-2482	5	14	,	,	PUNCT
cana-2482	5	15	helping	help	VERB
cana-2482	5	16	to	to	PART
cana-2482	5	17	predict	predict	VERB
cana-2482	5	18	renovascular	renovascular	ADJ
cana-2482	5	19	hypertension	hypertension	NOUN
cana-2482	5	20	early	early	ADV
cana-2482	5	21	and	and	CCONJ
cana-2482	5	22	accurately	accurately	ADV
cana-2482	5	23	.	.	PUNCT
cana-2482	6	1	experimental	experimental	ADJ
cana-2482	6	2	results	result	NOUN
cana-2482	6	3	demonstrate	demonstrate	VERB
cana-2482	6	4	the	the	DET
cana-2482	6	5	effectiveness	effectiveness	NOUN
cana-2482	6	6	of	of	ADP
cana-2482	6	7	the	the	DET
cana-2482	6	8	model	model	NOUN
cana-2482	6	9	with	with	ADP
cana-2482	6	10	over	over	ADP
cana-2482	6	11	90	90	NUM
cana-2482	6	12	%	%	NOUN
cana-2482	6	13	accuracy	accuracy	NOUN
cana-2482	6	14	in	in	ADP
cana-2482	6	15	predicting	predict	VERB
cana-2482	6	16	the	the	DET
cana-2482	6	17	onset	onset	NOUN
cana-2482	6	18	of	of	ADP
cana-2482	6	19	hypertension	hypertension	NOUN
cana-2482	6	20	compared	compare	VERB
cana-2482	6	21	to	to	ADP
cana-2482	6	22	deep	deep	ADJ
cana-2482	6	23	learning	learning	NOUN
cana-2482	6	24	models	model	NOUN
cana-2482	6	25	.	.	PUNCT
cana-2482	7	1	furthermore	furthermore	ADV
cana-2482	7	2	,	,	PUNCT
cana-2482	7	3	this	this	DET
cana-2482	7	4	hybrid	hybrid	ADJ
cana-2482	7	5	cnnlstm	cnnlstm	NOUN
cana-2482	7	6	approach	approach	NOUN
cana-2482	7	7	performs	perform	VERB
cana-2482	7	8	well	well	ADV
cana-2482	7	9	in	in	ADP
cana-2482	7	10	handling	handle	VERB
cana-2482	7	11	noisy	noisy	ADJ
cana-2482	7	12	and	and	CCONJ
cana-2482	7	13	incomplete	incomplete	ADJ
cana-2482	7	14	data	datum	NOUN
cana-2482	7	15	that	that	PRON
cana-2482	7	16	are	be	AUX
cana-2482	7	17	common	common	ADJ
cana-2482	7	18	in	in	ADP
cana-2482	7	19	the	the	DET
cana-2482	7	20	iot	iot	PROPN
cana-2482	7	21	environment	environment	NOUN
cana-2482	7	22	.	.	PUNCT
cana-2482	8	1	this	this	DET
cana-2482	8	2	study	study	NOUN
cana-2482	8	3	demonstrates	demonstrate	VERB
cana-2482	8	4	the	the	DET
cana-2482	8	5	potential	potential	NOUN
cana-2482	8	6	of	of	ADP
cana-2482	8	7	a	a	DET
cana-2482	8	8	hybrid	hybrid	ADJ
cana-2482	8	9	deep	deep	ADJ
cana-2482	8	10	learning	learning	NOUN
cana-2482	8	11	model	model	NOUN
cana-2482	8	12	to	to	PART
cana-2482	8	13	improve	improve	VERB
cana-2482	8	14	the	the	DET
cana-2482	8	15	content	content	NOUN
cana-2482	8	16	of	of	ADP
cana-2482	8	17	care	care	NOUN
cana-2482	8	18	,	,	PUNCT
cana-2482	8	19	personalize	personalize	VERB
cana-2482	8	20	treatment	treatment	NOUN
cana-2482	8	21	,	,	PUNCT
cana-2482	8	22	and	and	CCONJ
cana-2482	8	23	provide	provide	VERB
cana-2482	8	24	large	large	ADJ
cana-2482	8	25	-	-	PUNCT
cana-2482	8	26	scale	scale	NOUN
cana-2482	8	27	,	,	PUNCT
cana-2482	8	28	cost	cost	NOUN
cana-2482	8	29	-	-	PUNCT
cana-2482	8	30	effective	effective	ADJ
cana-2482	8	31	solutions	solution	NOUN
cana-2482	8	32	for	for	ADP
cana-2482	8	33	early	early	ADJ
cana-2482	8	34	intervention	intervention	NOUN
cana-2482	8	35	in	in	ADP
cana-2482	8	36	the	the	DET
cana-2482	8	37	management	management	NOUN
cana-2482	8	38	of	of	ADP
cana-2482	8	39	renovascular	renovascular	ADJ
cana-2482	8	40	hypertension	hypertension	NOUN
cana-2482	8	41	.	.	PUNCT
cana-2482	9	1	keywords	keyword	NOUN
cana-2482	9	2	:	:	PUNCT
cana-2482	9	3	electrocardiogram	electrocardiogram	NOUN
cana-2482	9	4	(	(	PUNCT
cana-2482	9	5	ecg	ecg	PROPN
cana-2482	9	6	)	)	PUNCT
cana-2482	9	7	,	,	PUNCT
cana-2482	9	8	renovascular	renovascular	ADJ
cana-2482	9	9	hypertension	hypertension	NOUN
cana-2482	9	10	(	(	PUNCT
cana-2482	9	11	rvh	rvh	NOUN
cana-2482	9	12	)	)	PUNCT
cana-2482	9	13	,	,	PUNCT
cana-2482	9	14	esp8266	esp8266	ADJ
cana-2482	9	15	,	,	PUNCT
cana-2482	9	16	renovascular	renovascular	ADJ
cana-2482	9	17	,	,	PUNCT
cana-2482	9	18	long	long	ADJ
cana-2482	9	19	short	short	ADJ
cana-2482	9	20	-	-	PUNCT
cana-2482	9	21	term	term	NOUN
cana-2482	9	22	memory	memory	NOUN
cana-2482	9	23	(	(	PUNCT
cana-2482	9	24	lstm	lstm	NOUN
cana-2482	9	25	)	)	PUNCT
cana-2482	9	26	.	.	PUNCT
cana-2482	10	1	i.	i.	PROPN
cana-2482	10	2	introduction	introduction	NOUN
cana-2482	10	3	hypertension	hypertension	NOUN
cana-2482	10	4	,	,	PUNCT
cana-2482	10	5	commonly	commonly	ADV
cana-2482	10	6	known	know	VERB
cana-2482	10	7	as	as	ADP
cana-2482	10	8	high	high	ADJ
cana-2482	10	9	blood	blood	NOUN
cana-2482	10	10	pressure	pressure	NOUN
cana-2482	10	11	,	,	PUNCT
cana-2482	10	12	is	be	AUX
cana-2482	10	13	a	a	DET
cana-2482	10	14	major	major	ADJ
cana-2482	10	15	health	health	NOUN
cana-2482	10	16	problem	problem	NOUN
cana-2482	10	17	affecting	affect	VERB
cana-2482	10	18	millions	million	NOUN
cana-2482	10	19	of	of	ADP
cana-2482	10	20	people	people	NOUN
cana-2482	10	21	worldwide	worldwide	ADV
cana-2482	10	22	,	,	PUNCT
cana-2482	10	23	with	with	ADP
cana-2482	10	24	a	a	DET
cana-2482	10	25	significant	significant	ADJ
cana-2482	10	26	impact	impact	NOUN
cana-2482	10	27	on	on	ADP
cana-2482	10	28	cardiovascular	cardiovascular	ADJ
cana-2482	10	29	and	and	CCONJ
cana-2482	10	30	mortality	mortality	NOUN
cana-2482	10	31	.	.	PUNCT
cana-2482	11	1	among	among	ADP
cana-2482	11	2	its	its	PRON
cana-2482	11	3	many	many	ADJ
cana-2482	11	4	types	type	NOUN
cana-2482	11	5	,	,	PUNCT
cana-2482	11	6	renovascular	renovascular	ADJ
cana-2482	11	7	hypertension	hypertension	NOUN
cana-2482	11	8	is	be	AUX
cana-2482	11	9	a	a	DET
cana-2482	11	10	particular	particular	ADJ
cana-2482	11	11	and	and	CCONJ
cana-2482	11	12	serious	serious	ADJ
cana-2482	11	13	type	type	NOUN
cana-2482	11	14	that	that	PRON
cana-2482	11	15	results	result	VERB
cana-2482	11	16	from	from	ADP
cana-2482	11	17	the	the	DET
cana-2482	11	18	narrowing	narrowing	NOUN
cana-2482	11	19	of	of	ADP
cana-2482	11	20	the	the	DET
cana-2482	11	21	renal	renal	ADJ
cana-2482	11	22	arteries	artery	NOUN
cana-2482	11	23	,	,	PUNCT
cana-2482	11	24	reducing	reduce	VERB
cana-2482	11	25	blood	blood	NOUN
cana-2482	11	26	flow	flow	NOUN
cana-2482	11	27	to	to	ADP
cana-2482	11	28	the	the	DET
cana-2482	11	29	kidneys	kidney	NOUN
cana-2482	11	30	and	and	CCONJ
cana-2482	11	31	subsequently	subsequently	ADV
cana-2482	11	32	increasing	increase	VERB
cana-2482	11	33	blood	blood	NOUN
cana-2482	11	34	pressure	pressure	NOUN
cana-2482	11	35	.	.	PUNCT
cana-2482	12	1	due	due	ADP
cana-2482	12	2	to	to	ADP
cana-2482	12	3	the	the	DET
cana-2482	12	4	underlying	underlie	VERB
cana-2482	12	5	mechanisms	mechanism	NOUN
cana-2482	12	6	and	and	CCONJ
cana-2482	12	7	different	different	ADJ
cana-2482	12	8	symptoms	symptom	NOUN
cana-2482	12	9	,	,	PUNCT
cana-2482	12	10	renovascular	renovascular	ADJ
cana-2482	12	11	hypertension	hypertension	NOUN
cana-2482	12	12	is	be	AUX
cana-2482	12	13	often	often	ADV
cana-2482	12	14	difficult	difficult	ADJ
cana-2482	12	15	to	to	PART
cana-2482	12	16	diagnose	diagnose	VERB
cana-2482	12	17	and	and	CCONJ
cana-2482	12	18	treat	treat	VERB
cana-2482	12	19	,	,	PUNCT
cana-2482	12	20	requiring	require	VERB
cana-2482	12	21	early	early	ADJ
cana-2482	12	22	and	and	CCONJ
cana-2482	12	23	precise	precise	ADJ
cana-2482	12	24	diagnostic	diagnostic	ADJ
cana-2482	12	25	procedures	procedure	NOUN
cana-2482	12	26	to	to	PART
cana-2482	12	27	reduce	reduce	VERB
cana-2482	12	28	associated	associated	ADJ
cana-2482	12	29	risks	risk	NOUN
cana-2482	12	30	and	and	CCONJ
cana-2482	12	31	improve	improve	VERB
cana-2482	12	32	patient	patient	ADJ
cana-2482	12	33	outcomes	outcome	NOUN
cana-2482	12	34	.	.	PUNCT
cana-2482	13	1	mailto:1	mailto:1	PRON
cana-2482	13	2	communications	communication	NOUN
cana-2482	13	3	on	on	ADP
cana-2482	13	4	applied	apply	VERB
cana-2482	13	5	nonlinear	nonlinear	ADJ
cana-2482	13	6	analysis	analysis	NOUN
cana-2482	13	7	issn	issn	NOUN
cana-2482	13	8	:	:	PUNCT
cana-2482	13	9	1074	1074	NUM
cana-2482	13	10	-	-	PUNCT
cana-2482	13	11	133x	133x	NUM
cana-2482	13	12	vol	vol	NOUN
cana-2482	13	13	32	32	NUM
cana-2482	13	14	no	no	NOUN
cana-2482	13	15	.	.	NOUN
cana-2482	13	16	3	3	NUM
cana-2482	13	17	(	(	PUNCT
cana-2482	13	18	2025	2025	NUM
cana-2482	13	19	)	)	PUNCT
cana-2482	13	20	678	678	NUM
cana-2482	13	21	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	13	22	advances	advance	VERB
cana-2482	13	23	in	in	ADP
cana-2482	13	24	renovascular	renovascular	ADJ
cana-2482	13	25	hypertension	hypertension	NOUN
cana-2482	13	26	in	in	ADP
cana-2482	13	27	recent	recent	ADJ
cana-2482	13	28	years	year	NOUN
cana-2482	13	29	the	the	DET
cana-2482	13	30	internet	internet	NOUN
cana-2482	13	31	of	of	ADP
cana-2482	13	32	things	thing	NOUN
cana-2482	13	33	(	(	PUNCT
cana-2482	13	34	iot	iot	NOUN
cana-2482	13	35	)	)	PUNCT
cana-2482	13	36	and	and	CCONJ
cana-2482	13	37	smart	smart	ADJ
cana-2482	13	38	devices	device	NOUN
cana-2482	13	39	have	have	AUX
cana-2482	13	40	opened	open	VERB
cana-2482	13	41	up	up	ADP
cana-2482	13	42	new	new	ADJ
cana-2482	13	43	possibilities	possibility	NOUN
cana-2482	13	44	for	for	ADP
cana-2482	13	45	real	real	ADJ
cana-2482	13	46	-	-	PUNCT
cana-2482	13	47	time	time	NOUN
cana-2482	13	48	healthcare	healthcare	NOUN
cana-2482	13	49	,	,	PUNCT
cana-2482	13	50	enabling	enable	VERB
cana-2482	13	51	non	non	ADJ
cana-2482	13	52	-	-	ADJ
cana-2482	13	53	invasive	invasive	ADJ
cana-2482	13	54	,	,	PUNCT
cana-2482	13	55	comprehensive	comprehensive	ADJ
cana-2482	13	56	monitoring	monitoring	NOUN
cana-2482	13	57	of	of	ADP
cana-2482	13	58	vital	vital	ADJ
cana-2482	13	59	body	body	NOUN
cana-2482	13	60	parameters	parameter	NOUN
cana-2482	13	61	such	such	ADJ
cana-2482	13	62	as	as	ADP
cana-2482	13	63	blood	blood	NOUN
cana-2482	13	64	pressure	pressure	NOUN
cana-2482	13	65	,	,	PUNCT
cana-2482	13	66	heart	heart	NOUN
cana-2482	13	67	rate	rate	NOUN
cana-2482	13	68	,	,	PUNCT
cana-2482	13	69	and	and	CCONJ
cana-2482	13	70	blood	blood	NOUN
cana-2482	13	71	oxygen	oxygen	NOUN
cana-2482	13	72	saturation	saturation	NOUN
cana-2482	13	73	.	.	PUNCT
cana-2482	14	1	these	these	DET
cana-2482	14	2	iot	iot	PROPN
cana-2482	14	3	devices	device	NOUN
cana-2482	14	4	generate	generate	VERB
cana-2482	14	5	rich	rich	ADJ
cana-2482	14	6	health	health	NOUN
cana-2482	14	7	data	datum	NOUN
cana-2482	14	8	that	that	PRON
cana-2482	14	9	,	,	PUNCT
cana-2482	14	10	when	when	SCONJ
cana-2482	14	11	processed	process	VERB
cana-2482	14	12	correctly	correctly	ADV
cana-2482	14	13	,	,	PUNCT
cana-2482	14	14	can	can	AUX
cana-2482	14	15	provide	provide	VERB
cana-2482	14	16	information	information	NOUN
cana-2482	14	17	to	to	ADP
cana-2482	14	18	the	the	DET
cana-2482	14	19	cardiac	cardiac	ADJ
cana-2482	14	20	patient	patient	NOUN
cana-2482	14	21	.	.	PUNCT
cana-2482	15	1	combining	combine	VERB
cana-2482	15	2	this	this	DET
cana-2482	15	3	information	information	NOUN
cana-2482	15	4	with	with	ADP
cana-2482	15	5	deep	deep	ADJ
cana-2482	15	6	learning	learning	NOUN
cana-2482	15	7	algorithms	algorithm	NOUN
cana-2482	15	8	provides	provide	VERB
cana-2482	15	9	an	an	DET
cana-2482	15	10	effective	effective	ADJ
cana-2482	15	11	solution	solution	NOUN
cana-2482	15	12	to	to	PART
cana-2482	15	13	predict	predict	VERB
cana-2482	15	14	the	the	DET
cana-2482	15	15	onset	onset	NOUN
cana-2482	15	16	and	and	CCONJ
cana-2482	15	17	progression	progression	NOUN
cana-2482	15	18	of	of	ADP
cana-2482	15	19	renovascular	renovascular	ADJ
cana-2482	15	20	hypertension	hypertension	NOUN
cana-2482	15	21	.	.	PUNCT
cana-2482	16	1	convolutional	convolutional	ADJ
cana-2482	16	2	neural	neural	ADJ
cana-2482	16	3	network	network	NOUN
cana-2482	16	4	to	to	PART
cana-2482	16	5	predict	predict	VERB
cana-2482	16	6	blood	blood	NOUN
cana-2482	16	7	pressure	pressure	NOUN
cana-2482	16	8	(	(	PUNCT
cana-2482	16	9	cnn	cnn	PROPN
cana-2482	16	10	)	)	PUNCT
cana-2482	16	11	or	or	CCONJ
cana-2482	16	12	recurrent	recurrent	ADJ
cana-2482	16	13	neural	neural	ADJ
cana-2482	16	14	network	network	NOUN
cana-2482	16	15	(	(	PUNCT
cana-2482	16	16	rnn	rnn	PROPN
cana-2482	16	17	)	)	PUNCT
cana-2482	16	18	.	.	PUNCT
cana-2482	17	1	however	however	ADV
cana-2482	17	2	,	,	PUNCT
cana-2482	17	3	all	all	PRON
cana-2482	17	4	of	of	ADP
cana-2482	17	5	these	these	DET
cana-2482	17	6	models	model	NOUN
cana-2482	17	7	face	face	VERB
cana-2482	17	8	limitations	limitation	NOUN
cana-2482	17	9	in	in	ADP
cana-2482	17	10	analyzing	analyze	VERB
cana-2482	17	11	various	various	ADJ
cana-2482	17	12	iot	iot	PROPN
cana-2482	17	13	data	datum	NOUN
cana-2482	17	14	,	,	PUNCT
cana-2482	17	15	which	which	PRON
cana-2482	17	16	usually	usually	ADV
cana-2482	17	17	includes	include	VERB
cana-2482	17	18	location	location	NOUN
cana-2482	17	19	and	and	CCONJ
cana-2482	17	20	physical	physical	ADJ
cana-2482	17	21	data	datum	NOUN
cana-2482	17	22	.	.	PUNCT
cana-2482	18	1	to	to	PART
cana-2482	18	2	address	address	VERB
cana-2482	18	3	this	this	DET
cana-2482	18	4	gap	gap	NOUN
cana-2482	18	5	,	,	PUNCT
cana-2482	18	6	a	a	DET
cana-2482	18	7	hybrid	hybrid	ADJ
cana-2482	18	8	model	model	NOUN
cana-2482	18	9	combining	combine	VERB
cana-2482	18	10	cnn	cnn	PROPN
cana-2482	18	11	and	and	CCONJ
cana-2482	18	12	long	long	ADJ
cana-2482	18	13	-	-	PUNCT
cana-2482	18	14	term	term	NOUN
cana-2482	18	15	transcription	transcription	NOUN
cana-2482	18	16	(	(	PUNCT
cana-2482	18	17	lstm	lstm	NOUN
cana-2482	18	18	)	)	PUNCT
cana-2482	18	19	networks	network	NOUN
cana-2482	18	20	is	be	AUX
cana-2482	18	21	proposed	propose	VERB
cana-2482	18	22	.	.	PUNCT
cana-2482	19	1	cnns	cnns	PROPN
cana-2482	19	2	are	be	AUX
cana-2482	19	3	very	very	ADV
cana-2482	19	4	good	good	ADJ
cana-2482	19	5	at	at	ADP
cana-2482	19	6	extracting	extract	VERB
cana-2482	19	7	spatial	spatial	ADJ
cana-2482	19	8	patterns	pattern	NOUN
cana-2482	19	9	in	in	ADP
cana-2482	19	10	data	datum	NOUN
cana-2482	19	11	,	,	PUNCT
cana-2482	19	12	making	make	VERB
cana-2482	19	13	them	they	PRON
cana-2482	19	14	ideal	ideal	ADJ
cana-2482	19	15	for	for	ADP
cana-2482	19	16	extracting	extract	VERB
cana-2482	19	17	features	feature	NOUN
cana-2482	19	18	from	from	ADP
cana-2482	19	19	multi	multi	ADJ
cana-2482	19	20	-	-	ADJ
cana-2482	19	21	sensor	sensor	ADJ
cana-2482	19	22	iot	iot	NOUN
cana-2482	19	23	inputs	input	NOUN
cana-2482	19	24	,	,	PUNCT
cana-2482	19	25	while	while	SCONJ
cana-2482	19	26	lstms	lstms	ADJ
cana-2482	19	27	are	be	AUX
cana-2482	19	28	good	good	ADJ
cana-2482	19	29	at	at	ADP
cana-2482	19	30	handling	handle	VERB
cana-2482	19	31	temporal	temporal	ADJ
cana-2482	19	32	patterns	pattern	NOUN
cana-2482	19	33	and	and	CCONJ
cana-2482	19	34	keeping	keep	VERB
cana-2482	19	35	up	up	ADP
cana-2482	19	36	with	with	ADP
cana-2482	19	37	trends	trend	NOUN
cana-2482	19	38	and	and	CCONJ
cana-2482	19	39	changes	change	NOUN
cana-2482	19	40	over	over	ADP
cana-2482	19	41	time	time	NOUN
cana-2482	19	42	.	.	PUNCT
cana-2482	20	1	this	this	DET
cana-2482	20	2	combination	combination	NOUN
cana-2482	20	3	allows	allow	VERB
cana-2482	20	4	the	the	DET
cana-2482	20	5	hybrid	hybrid	NOUN
cana-2482	20	6	model	model	NOUN
cana-2482	20	7	to	to	PART
cana-2482	20	8	utilize	utilize	VERB
cana-2482	20	9	the	the	DET
cana-2482	20	10	length	length	NOUN
cana-2482	20	11	of	of	ADP
cana-2482	20	12	the	the	DET
cana-2482	20	13	body	body	NOUN
cana-2482	20	14	and	and	CCONJ
cana-2482	20	15	torso	torso	NOUN
cana-2482	20	16	,	,	PUNCT
cana-2482	20	17	thereby	thereby	ADV
cana-2482	20	18	improving	improve	VERB
cana-2482	20	19	the	the	DET
cana-2482	20	20	accuracy	accuracy	NOUN
cana-2482	20	21	and	and	CCONJ
cana-2482	20	22	reliability	reliability	NOUN
cana-2482	20	23	in	in	ADP
cana-2482	20	24	predicting	predict	VERB
cana-2482	20	25	renovascular	renovascular	ADJ
cana-2482	20	26	hypertension	hypertension	NOUN
cana-2482	20	27	.	.	PUNCT
cana-2482	21	1	fig	fig	NOUN
cana-2482	21	2	.	.	PUNCT
cana-2482	22	1	1	1	NUM
cana-2482	22	2	cnn	cnn	PROPN
cana-2482	22	3	architecture	architecture	PROPN
cana-2482	22	4	ii	ii	PROPN
cana-2482	22	5	.	.	PUNCT
cana-2482	22	6	methodology	methodology	PROPN
cana-2482	22	7	the	the	DET
cana-2482	22	8	block	block	NOUN
cana-2482	22	9	diagram	diagram	NOUN
cana-2482	22	10	for	for	ADP
cana-2482	22	11	the	the	DET
cana-2482	22	12	early	early	ADJ
cana-2482	22	13	prediction	prediction	NOUN
cana-2482	22	14	of	of	ADP
cana-2482	22	15	renovascular	renovascular	ADJ
cana-2482	22	16	hypertension	hypertension	NOUN
cana-2482	22	17	using	use	VERB
cana-2482	22	18	medical	medical	ADJ
cana-2482	22	19	data	datum	NOUN
cana-2482	22	20	from	from	ADP
cana-2482	22	21	ecg	ecg	PROPN
cana-2482	22	22	monitors	monitor	NOUN
cana-2482	22	23	and	and	CCONJ
cana-2482	22	24	rnns	rnn	NOUN
cana-2482	22	25	with	with	ADP
cana-2482	22	26	time	time	NOUN
cana-2482	22	27	-	-	PUNCT
cana-2482	22	28	series	series	NOUN
cana-2482	22	29	lstm	lstm	PROPN
cana-2482	22	30	,	,	PUNCT
cana-2482	22	31	the	the	DET
cana-2482	22	32	flow	flow	NOUN
cana-2482	22	33	can	can	AUX
cana-2482	22	34	be	be	AUX
cana-2482	22	35	described	describe	VERB
cana-2482	22	36	as	as	ADP
cana-2482	22	37	follows	follow	VERB
cana-2482	22	38	:	:	PUNCT
cana-2482	22	39	communications	communication	NOUN
cana-2482	22	40	on	on	ADP
cana-2482	22	41	applied	apply	VERB
cana-2482	22	42	nonlinear	nonlinear	ADJ
cana-2482	22	43	analysis	analysis	NOUN
cana-2482	22	44	issn	issn	NOUN
cana-2482	22	45	:	:	PUNCT
cana-2482	22	46	1074	1074	NUM
cana-2482	22	47	-	-	PUNCT
cana-2482	22	48	133x	133x	NUM
cana-2482	22	49	vol	vol	NOUN
cana-2482	22	50	32	32	NUM
cana-2482	22	51	no	no	NOUN
cana-2482	22	52	.	.	NOUN
cana-2482	22	53	3	3	NUM
cana-2482	22	54	(	(	PUNCT
cana-2482	22	55	2025	2025	NUM
cana-2482	22	56	)	)	PUNCT
cana-2482	22	57	679	679	NUM
cana-2482	22	58	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	22	59	a.	a.	NOUN
cana-2482	22	60	algorithm	algorithm	NOUN
cana-2482	22	61	the	the	DET
cana-2482	22	62	methodology	methodology	NOUN
cana-2482	22	63	used	use	VERB
cana-2482	22	64	for	for	ADP
cana-2482	22	65	predicting	predict	VERB
cana-2482	22	66	renovascular	renovascular	ADJ
cana-2482	22	67	hypertension	hypertension	NOUN
cana-2482	22	68	using	use	VERB
cana-2482	22	69	cnns	cnns	PROPN
cana-2482	22	70	is	be	AUX
cana-2482	22	71	as	as	SCONJ
cana-2482	22	72	shown	show	VERB
cana-2482	22	73	in	in	ADP
cana-2482	22	74	fig	fig	NOUN
cana-2482	22	75	.	.	PUNCT
cana-2482	23	1	2	2	NUM
cana-2482	23	2	communications	communication	NOUN
cana-2482	23	3	on	on	ADP
cana-2482	23	4	applied	apply	VERB
cana-2482	23	5	nonlinear	nonlinear	ADJ
cana-2482	23	6	analysis	analysis	NOUN
cana-2482	23	7	issn	issn	NOUN
cana-2482	23	8	:	:	PUNCT
cana-2482	23	9	1074	1074	NUM
cana-2482	23	10	-	-	PUNCT
cana-2482	23	11	133x	133x	NUM
cana-2482	23	12	vol	vol	NOUN
cana-2482	23	13	32	32	NUM
cana-2482	23	14	no	no	NOUN
cana-2482	23	15	.	.	NOUN
cana-2482	23	16	3	3	NUM
cana-2482	23	17	(	(	PUNCT
cana-2482	23	18	2025	2025	NUM
cana-2482	23	19	)	)	PUNCT
cana-2482	23	20	680	680	NUM
cana-2482	23	21	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2482	23	22	2.1	2.1	NUM
cana-2482	23	23	generalized	generalized	ADJ
cana-2482	23	24	view	view	NOUN
cana-2482	23	25	fig	fig	NOUN
cana-2482	23	26	.	.	PUNCT
cana-2482	24	1	2	2	NUM
cana-2482	24	2	system	system	NOUN
cana-2482	24	3	block	block	NOUN
cana-2482	24	4	diagram	diagram	NOUN
cana-2482	24	5	2.2	2.2	NUM
cana-2482	24	6	data	datum	NOUN
cana-2482	24	7	acquisition	acquisition	NOUN
cana-2482	24	8	:	:	PUNCT
cana-2482	24	9	use	use	VERB
cana-2482	24	10	the	the	DET
cana-2482	24	11	ad8232	ad8232	PROPN
cana-2482	24	12	sensor	sensor	NOUN
cana-2482	24	13	and	and	CCONJ
cana-2482	24	14	nodemcu	nodemcu	NOUN
cana-2482	24	15	to	to	PART
cana-2482	24	16	acquire	acquire	VERB
cana-2482	24	17	real	real	ADJ
cana-2482	24	18	-	-	PUNCT
cana-2482	24	19	time	time	NOUN
cana-2482	24	20	ecg	ecg	PROPN
cana-2482	24	21	data	datum	NOUN
cana-2482	24	22	and	and	CCONJ
cana-2482	24	23	direct	direct	VERB
cana-2482	24	24	it	it	PRON
cana-2482	24	25	to	to	ADP
cana-2482	24	26	a	a	DET
cana-2482	24	27	server	server	NOUN
cana-2482	24	28	for	for	ADP
cana-2482	24	29	handling	handle	VERB
cana-2482	24	30	2.3	2.3	NUM
cana-2482	24	31	preprocessing	preprocessing	NOUN
cana-2482	24	32	:	:	PUNCT
cana-2482	24	33	(	(	PUNCT
cana-2482	24	34	i	i	NOUN
cana-2482	24	35	)	)	PUNCT
cana-2482	24	36	noise	noise	NOUN
cana-2482	24	37	filtering	filtering	NOUN
cana-2482	24	38	:	:	PUNCT
cana-2482	24	39	ecg	ecg	PROPN
cana-2482	24	40	signals	signal	NOUN
cana-2482	24	41	are	be	AUX
cana-2482	24	42	sensitive	sensitive	ADJ
cana-2482	24	43	to	to	PART
cana-2482	24	44	noise	noise	VERB
cana-2482	24	45	from	from	ADP
cana-2482	24	46	muscle	muscle	NOUN
cana-2482	24	47	contractions	contraction	NOUN
cana-2482	24	48	,	,	PUNCT
cana-2482	24	49	movement	movement	NOUN
cana-2482	24	50	artifacts	artifact	NOUN
cana-2482	24	51	,	,	PUNCT
cana-2482	24	52	and	and	CCONJ
cana-2482	24	53	baseline	baseline	VERB
cana-2482	24	54	drift	drift	NOUN
cana-2482	24	55	.	.	PUNCT
cana-2482	25	1	a	a	DET
cana-2482	25	2	moving	move	VERB
cana-2482	25	3	average	average	ADJ
cana-2482	25	4	filter	filter	NOUN
cana-2482	25	5	is	be	AUX
cana-2482	25	6	simple	simple	ADJ
cana-2482	25	7	to	to	PART
cana-2482	25	8	implement	implement	VERB
cana-2482	25	9	and	and	CCONJ
cana-2482	25	10	helps	helps	AUX
cana-2482	25	11	reduce	reduce	VERB
cana-2482	25	12	high	high	ADJ
cana-2482	25	13	-	-	PUNCT
cana-2482	25	14	frequency	frequency	NOUN
cana-2482	25	15	noise	noise	NOUN
cana-2482	25	16	.	.	PUNCT
cana-2482	26	1	(	(	PUNCT
cana-2482	26	2	ii	ii	NOUN
cana-2482	26	3	)	)	PUNCT
cana-2482	26	4	r	r	NOUN
cana-2482	26	5	-	-	PUNCT
cana-2482	26	6	peak	peak	NOUN
cana-2482	26	7	detection	detection	NOUN
cana-2482	26	8	:	:	PUNCT
cana-2482	26	9	r	r	X
cana-2482	26	10	-	-	PUNCT
cana-2482	26	11	peaks	peak	NOUN
cana-2482	26	12	in	in	ADP
cana-2482	26	13	the	the	DET
cana-2482	26	14	ecg	ecg	PROPN
cana-2482	26	15	signal	signal	NOUN
cana-2482	26	16	is	be	AUX
cana-2482	26	17	crucial	crucial	ADJ
cana-2482	26	18	for	for	ADP
cana-2482	26	19	extracting	extract	VERB
cana-2482	26	20	features	feature	NOUN
cana-2482	26	21	like	like	ADP
cana-2482	26	22	heart	heart	NOUN
cana-2482	26	23	rate	rate	NOUN
cana-2482	26	24	or	or	CCONJ
cana-2482	26	25	heart	heart	NOUN
cana-2482	26	26	rate	rate	NOUN
cana-2482	26	27	variability	variability	NOUN
cana-2482	26	28	(	(	PUNCT
cana-2482	26	29	hrv	hrv	NOUN
cana-2482	26	30	)	)	PUNCT
cana-2482	26	31	.	.	PUNCT
cana-2482	27	1	a	a	DET
cana-2482	27	2	peak	peak	NOUN
cana-2482	27	3	detection	detection	NOUN
cana-2482	27	4	algorithm	algorithm	NOUN
cana-2482	27	5	that	that	PRON
cana-2482	27	6	detects	detect	NOUN
cana-2482	27	7	peaks	peak	NOUN
cana-2482	27	8	by	by	ADP
cana-2482	27	9	comparing	compare	VERB
cana-2482	27	10	each	each	DET
cana-2482	27	11	sample	sample	NOUN
cana-2482	27	12	to	to	ADP
cana-2482	27	13	its	its	PRON
cana-2482	27	14	neighbors	neighbor	NOUN
cana-2482	27	15	.	.	PUNCT
cana-2482	28	1	2.4	2.4	NUM
cana-2482	28	2	http	http	ADJ
cana-2482	28	3	/	/	SYM
cana-2482	28	4	https	https	NOUN
cana-2482	28	5	:	:	PUNCT
cana-2482	28	6	for	for	ADP
cana-2482	28	7	secure	secure	ADJ
cana-2482	28	8	data	datum	NOUN
cana-2482	28	9	transmission	transmission	NOUN
cana-2482	28	10	between	between	ADP
cana-2482	28	11	the	the	DET
cana-2482	28	12	esp8266	esp8266	NOUN
cana-2482	28	13	and	and	CCONJ
cana-2482	28	14	the	the	DET
cana-2482	28	15	sql	sql	NOUN
cana-2482	28	16	server	server	NOUN
cana-2482	28	17	or	or	CCONJ
cana-2482	28	18	cloud	cloud	NOUN
cana-2482	28	19	services	service	NOUN
cana-2482	28	20	.	.	PUNCT
cana-2482	29	1	2.5	2.5	NUM
cana-2482	29	2	sql	sql	PROPN
cana-2482	29	3	server	server	NOUN
cana-2482	29	4	:	:	PUNCT
cana-2482	29	5	the	the	DET
cana-2482	29	6	data	datum	NOUN
cana-2482	29	7	is	be	AUX
cana-2482	29	8	deposited	deposit	VERB
cana-2482	29	9	in	in	ADP
cana-2482	29	10	a	a	DET
cana-2482	29	11	sql	sql	NOUN
cana-2482	29	12	server	server	NOUN
cana-2482	29	13	database	database	NOUN
cana-2482	29	14	intended	intend	VERB
cana-2482	29	15	to	to	PART
cana-2482	29	16	hold	hold	VERB
cana-2482	29	17	time	time	NOUN
cana-2482	29	18	-	-	PUNCT
cana-2482	29	19	series	series	NOUN
cana-2482	29	20	records	record	NOUN
cana-2482	29	21	,	,	PUNCT
cana-2482	29	22	confirming	confirm	VERB
cana-2482	29	23	the	the	DET
cana-2482	29	24	efficient	efficient	ADJ
cana-2482	29	25	management	management	NOUN
cana-2482	29	26	of	of	ADP
cana-2482	29	27	large	large	ADJ
cana-2482	29	28	volumes	volume	NOUN
cana-2482	29	29	of	of	ADP
cana-2482	29	30	patient	patient	ADJ
cana-2482	29	31	records	record	NOUN
cana-2482	29	32	.	.	PUNCT
cana-2482	30	1	the	the	DET
cana-2482	30	2	method	method	NOUN
cana-2482	30	3	uses	use	VERB
cana-2482	30	4	extract	extract	NOUN
cana-2482	30	5	,	,	PUNCT
cana-2482	30	6	transform	transform	NOUN
cana-2482	30	7	,	,	PUNCT
cana-2482	30	8	load	load	NOUN
cana-2482	30	9	(	(	PUNCT
cana-2482	30	10	etl	etl	NOUN
cana-2482	30	11	)	)	PUNCT
cana-2482	30	12	pipelines	pipeline	NOUN
cana-2482	30	13	for	for	ADP
cana-2482	30	14	data	datum	NOUN
cana-2482	30	15	preprocessing	preprocessing	NOUN
cana-2482	30	16	,	,	PUNCT
cana-2482	30	17	including	include	VERB
cana-2482	30	18	validation	validation	NOUN
cana-2482	30	19	,	,	PUNCT
cana-2482	30	20	cleaning	cleaning	NOUN
cana-2482	30	21	,	,	PUNCT
cana-2482	30	22	and	and	CCONJ
cana-2482	30	23	change	change	VERB
cana-2482	30	24	into	into	ADP
cana-2482	30	25	structured	structured	ADJ
cana-2482	30	26	formats	format	NOUN
cana-2482	30	27	suitable	suitable	ADJ
cana-2482	30	28	for	for	ADP
cana-2482	30	29	analysis	analysis	NOUN
cana-2482	30	30	.	.	PUNCT
cana-2482	31	1	2.6	2.6	NUM
cana-2482	31	2	long	long	ADJ
cana-2482	31	3	short	short	ADJ
cana-2482	31	4	-	-	PUNCT
cana-2482	31	5	term	term	NOUN
cana-2482	31	6	memory(lstm	memory(lstm	NOUN
cana-2482	31	7	):	):	PUNCT
cana-2482	31	8	estimation	estimation	NOUN
cana-2482	31	9	algorithm	algorithm	NOUN
cana-2482	31	10	first	first	ADJ
cana-2482	31	11	imports	import	NOUN
cana-2482	31	12	function	function	VERB
cana-2482	31	13	libraries	library	NOUN
cana-2482	31	14	.	.	PUNCT
cana-2482	32	1	then	then	ADV
cana-2482	32	2	import	import	VERB
cana-2482	32	3	the	the	DET
cana-2482	32	4	equipped	equip	VERB
cana-2482	32	5	file	file	NOUN
cana-2482	32	6	as	as	ADP
cana-2482	32	7	a	a	DET
cana-2482	32	8	csv	csv	NOUN
cana-2482	32	9	file	file	NOUN
cana-2482	32	10	.	.	PUNCT
cana-2482	33	1	the	the	DET
cana-2482	33	2	dataset	dataset	NOUN
cana-2482	33	3	is	be	AUX
cana-2482	33	4	divided	divide	VERB
cana-2482	33	5	into	into	ADP
cana-2482	33	6	two	two	NUM
cana-2482	33	7	parts	part	NOUN
cana-2482	33	8	:	:	PUNCT
cana-2482	33	9	one	one	NUM
cana-2482	33	10	is	be	AUX
cana-2482	33	11	the	the	DET
cana-2482	33	12	training	training	NOUN
cana-2482	33	13	set	set	NOUN
cana-2482	33	14	,	,	PUNCT
cana-2482	33	15	and	and	CCONJ
cana-2482	33	16	the	the	DET
cana-2482	33	17	other	other	ADJ
cana-2482	33	18	is	be	AUX
cana-2482	33	19	the	the	DET
cana-2482	33	20	test	test	NOUN
cana-2482	33	21	set	set	NOUN
cana-2482	33	22	.	.	PUNCT
cana-2482	34	1	by	by	ADP
cana-2482	34	2	adapting	adapt	VERB
cana-2482	34	3	the	the	DET
cana-2482	34	4	lstm	lstm	PROPN
cana-2482	34	5	model	model	NOUN
cana-2482	34	6	,	,	PUNCT
cana-2482	34	7	blood	blood	NOUN
cana-2482	34	8	pressure	pressure	NOUN
cana-2482	34	9	and	and	CCONJ
cana-2482	34	10	its	its	PRON
cana-2482	34	11	results	result	NOUN
cana-2482	34	12	can	can	AUX
cana-2482	34	13	be	be	AUX
cana-2482	34	14	estimated	estimate	VERB
cana-2482	34	15	.	.	PUNCT
cana-2482	35	1	data	datum	NOUN
cana-2482	35	2	preprocessing	preprocessing	NOUN
cana-2482	35	3	(	(	PUNCT
cana-2482	35	4	feature	feature	NOUN
cana-2482	35	5	extraction	extraction	NOUN
cana-2482	35	6	)	)	PUNCT
cana-2482	35	7	input	input	NOUN
cana-2482	35	8	layer	layer	NOUN
cana-2482	35	9	data	datum	NOUN
cana-2482	35	10	transmission	transmission	NOUN
cana-2482	35	11	(	(	PUNCT
cana-2482	35	12	http	http	NOUN
cana-2482	35	13	with	with	ADP
cana-2482	35	14	sql	sql	PROPN
cana-2482	35	15	server	server	NOUN
cana-2482	35	16	)	)	PUNCT
cana-2482	35	17	cnn	cnn	PROPN
cana-2482	35	18	model	model	NOUN
cana-2482	35	19	training	training	NOUN
cana-2482	35	20	(	(	PUNCT
cana-2482	35	21	lstm	lstm	NOUN
cana-2482	35	22	)	)	PUNCT
cana-2482	35	23	prediction	prediction	NOUN
cana-2482	35	24	normal	normal	ADJ
cana-2482	35	25	rvh	rvh	NOUN
cana-2482	35	26	affected	affect	VERB
cana-2482	35	27	communications	communication	NOUN
cana-2482	35	28	on	on	ADP
cana-2482	35	29	applied	apply	VERB
cana-2482	35	30	nonlinear	nonlinear	ADJ
cana-2482	35	31	analysis	analysis	NOUN
cana-2482	35	32	issn	issn	NOUN
cana-2482	35	33	:	:	PUNCT
cana-2482	35	34	1074	1074	NUM
cana-2482	35	35	-	-	PUNCT
cana-2482	35	36	133x	133x	NUM
cana-2482	35	37	vol	vol	NOUN
cana-2482	35	38	32	32	NUM
cana-2482	35	39	no	no	NOUN
cana-2482	35	40	.	.	NOUN
cana-2482	35	41	3	3	NUM
cana-2482	35	42	(	(	PUNCT
cana-2482	35	43	2025	2025	NUM
cana-2482	35	44	)	)	PUNCT
cana-2482	36	1	681	681	NUM
cana-2482	36	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2482	36	3	2.7	2.7	NUM
cana-2482	36	4	prediction	prediction	NOUN
cana-2482	36	5	:	:	PUNCT
cana-2482	36	6	a	a	DET
cana-2482	36	7	classification	classification	NOUN
cana-2482	36	8	or	or	CCONJ
cana-2482	36	9	probability	probability	NOUN
cana-2482	36	10	score	score	NOUN
cana-2482	36	11	indicating	indicate	VERB
cana-2482	36	12	whether	whether	SCONJ
cana-2482	36	13	the	the	DET
cana-2482	36	14	patient	patient	NOUN
cana-2482	36	15	is	be	AUX
cana-2482	36	16	at	at	ADP
cana-2482	36	17	risk	risk	NOUN
cana-2482	36	18	for	for	ADP
cana-2482	36	19	renovascular	renovascular	ADJ
cana-2482	36	20	hypertension	hypertension	NOUN
cana-2482	36	21	.	.	PUNCT
cana-2482	37	1	b.	b.	PROPN
cana-2482	37	2	references	reference	NOUN
cana-2482	37	3	data	data	VERB
cana-2482	37	4	analysis	analysis	NOUN
cana-2482	37	5	the	the	DET
cana-2482	37	6	emergence	emergence	NOUN
cana-2482	37	7	of	of	ADP
cana-2482	37	8	iot	iot	NOUN
cana-2482	37	9	technology	technology	NOUN
cana-2482	37	10	and	and	CCONJ
cana-2482	37	11	advances	advance	NOUN
cana-2482	37	12	in	in	ADP
cana-2482	37	13	deep	deep	ADJ
cana-2482	37	14	learning	learning	NOUN
cana-2482	37	15	have	have	AUX
cana-2482	37	16	impacted	impact	VERB
cana-2482	37	17	medical	medical	ADJ
cana-2482	37	18	applications	application	NOUN
cana-2482	37	19	,	,	PUNCT
cana-2482	37	20	especially	especially	ADV
cana-2482	37	21	in	in	ADP
cana-2482	37	22	the	the	DET
cana-2482	37	23	prediction	prediction	NOUN
cana-2482	37	24	model	model	NOUN
cana-2482	37	25	of	of	ADP
cana-2482	37	26	chronic	chronic	ADJ
cana-2482	37	27	diseases	disease	NOUN
cana-2482	37	28	such	such	ADJ
cana-2482	37	29	as	as	ADP
cana-2482	37	30	hypertension	hypertension	NOUN
cana-2482	37	31	.	.	PUNCT
cana-2482	38	1	this	this	DET
cana-2482	38	2	research	research	NOUN
cana-2482	38	3	paper	paper	NOUN
cana-2482	38	4	reviews	review	NOUN
cana-2482	38	5	previous	previous	ADJ
cana-2482	38	6	research	research	NOUN
cana-2482	38	7	in	in	ADP
cana-2482	38	8	three	three	NUM
cana-2482	38	9	key	key	ADJ
cana-2482	38	10	areas	area	NOUN
cana-2482	38	11	:	:	PUNCT
cana-2482	38	12	iot	iot	PROPN
cana-2482	38	13	in	in	ADP
cana-2482	38	14	healthcare	healthcare	PROPN
cana-2482	38	15	,	,	PUNCT
cana-2482	38	16	cnn	cnn	PROPN
cana-2482	38	17	and	and	CCONJ
cana-2482	38	18	lstm	lstm	PROPN
cana-2482	38	19	architectures	architecture	NOUN
cana-2482	38	20	for	for	ADP
cana-2482	38	21	health	health	NOUN
cana-2482	38	22	prediction	prediction	NOUN
cana-2482	38	23	,	,	PUNCT
cana-2482	38	24	and	and	CCONJ
cana-2482	38	25	the	the	DET
cana-2482	38	26	integration	integration	NOUN
cana-2482	38	27	of	of	ADP
cana-2482	38	28	cnn	cnn	PROPN
cana-2482	38	29	-	-	PUNCT
cana-2482	38	30	lstm	lstm	PROPN
cana-2482	38	31	models	model	NOUN
cana-2482	38	32	in	in	ADP
cana-2482	38	33	health	health	NOUN
cana-2482	38	34	prediction	prediction	NOUN
cana-2482	38	35	including	include	VERB
cana-2482	38	36	hypertension	hypertension	NOUN
cana-2482	38	37	.	.	PUNCT
cana-2482	39	1	1	1	X
cana-2482	39	2	.	.	X
cana-2482	39	3	internet	internet	NOUN
cana-2482	39	4	of	of	ADP
cana-2482	39	5	things	thing	NOUN
cana-2482	39	6	in	in	ADP
cana-2482	39	7	healthcare	healthcare	NOUN
cana-2482	39	8	iot	iot	VERB
cana-2482	39	9	-	-	PUNCT
cana-2482	39	10	enabled	enable	VERB
cana-2482	39	11	devices	device	NOUN
cana-2482	39	12	are	be	AUX
cana-2482	39	13	revolutionizing	revolutionize	VERB
cana-2482	39	14	healthcare	healthcare	NOUN
cana-2482	39	15	by	by	ADP
cana-2482	39	16	enabling	enable	VERB
cana-2482	39	17	real	real	ADJ
cana-2482	39	18	-	-	PUNCT
cana-2482	39	19	time	time	NOUN
cana-2482	39	20	and	and	CCONJ
cana-2482	39	21	continuous	continuous	ADJ
cana-2482	39	22	monitoring	monitoring	NOUN
cana-2482	39	23	of	of	ADP
cana-2482	39	24	physical	physical	ADJ
cana-2482	39	25	data	datum	NOUN
cana-2482	39	26	,	,	PUNCT
cana-2482	39	27	which	which	PRON
cana-2482	39	28	is	be	AUX
cana-2482	39	29	important	important	ADJ
cana-2482	39	30	for	for	ADP
cana-2482	39	31	chronic	chronic	ADJ
cana-2482	39	32	pain	pain	NOUN
cana-2482	39	33	management	management	NOUN
cana-2482	39	34	.	.	PUNCT
cana-2482	40	1	many	many	ADJ
cana-2482	40	2	studies	study	NOUN
cana-2482	40	3	have	have	AUX
cana-2482	40	4	demonstrated	demonstrate	VERB
cana-2482	40	5	the	the	DET
cana-2482	40	6	benefits	benefit	NOUN
cana-2482	40	7	of	of	ADP
cana-2482	40	8	iot	iot	NOUN
cana-2482	40	9	in	in	ADP
cana-2482	40	10	monitoring	monitor	VERB
cana-2482	40	11	vital	vital	ADJ
cana-2482	40	12	signs	sign	NOUN
cana-2482	40	13	,	,	PUNCT
cana-2482	40	14	improving	improve	VERB
cana-2482	40	15	early	early	ADJ
cana-2482	40	16	diagnosis	diagnosis	NOUN
cana-2482	40	17	,	,	PUNCT
cana-2482	40	18	and	and	CCONJ
cana-2482	40	19	reducing	reduce	VERB
cana-2482	40	20	hospitalizations	hospitalization	NOUN
cana-2482	40	21	.	.	PUNCT
cana-2482	41	1	for	for	ADP
cana-2482	41	2	example	example	NOUN
cana-2482	41	3	,	,	PUNCT
cana-2482	41	4	li	li	PROPN
cana-2482	41	5	et	et	PROPN
cana-2482	41	6	al	al	PROPN
cana-2482	41	7	.	.	PUNCT
cana-2482	42	1	(	(	PUNCT
cana-2482	42	2	2018)[6	2018)[6	PROPN
cana-2482	42	3	]	]	PUNCT
cana-2482	42	4	showed	show	VERB
cana-2482	42	5	how	how	SCONJ
cana-2482	42	6	wearable	wearable	ADJ
cana-2482	42	7	iot	iot	NOUN
cana-2482	42	8	devices	device	NOUN
cana-2482	42	9	can	can	AUX
cana-2482	42	10	capture	capture	VERB
cana-2482	42	11	blood	blood	NOUN
cana-2482	42	12	pressure	pressure	NOUN
cana-2482	42	13	,	,	PUNCT
cana-2482	42	14	heart	heart	NOUN
cana-2482	42	15	rate	rate	NOUN
cana-2482	42	16	,	,	PUNCT
cana-2482	42	17	and	and	CCONJ
cana-2482	42	18	activity	activity	NOUN
cana-2482	42	19	level	level	NOUN
cana-2482	42	20	data	datum	NOUN
cana-2482	42	21	to	to	PART
cana-2482	42	22	monitor	monitor	VERB
cana-2482	42	23	cardiovascular	cardiovascular	ADJ
cana-2482	42	24	health	health	NOUN
cana-2482	42	25	.	.	PUNCT
cana-2482	43	1	similarly	similarly	ADV
cana-2482	43	2	,	,	PUNCT
cana-2482	43	3	shahid	shahid	PROPN
cana-2482	43	4	et	et	PROPN
cana-2482	43	5	al	al	PROPN
cana-2482	43	6	.	.	PUNCT
cana-2482	44	1	(	(	PUNCT
cana-2482	44	2	2019)[8	2019)[8	PROPN
cana-2482	44	3	]	]	PUNCT
cana-2482	44	4	showed	show	VERB
cana-2482	44	5	that	that	SCONJ
cana-2482	44	6	iot	iot	NOUN
cana-2482	44	7	-	-	PUNCT
cana-2482	44	8	based	base	VERB
cana-2482	44	9	monitoring	monitoring	NOUN
cana-2482	44	10	systems	system	NOUN
cana-2482	44	11	can	can	AUX
cana-2482	44	12	help	help	VERB
cana-2482	44	13	detect	detect	VERB
cana-2482	44	14	abnormal	abnormal	ADJ
cana-2482	44	15	blood	blood	NOUN
cana-2482	44	16	pressure	pressure	NOUN
cana-2482	44	17	,	,	PUNCT
cana-2482	44	18	encourage	encourage	VERB
cana-2482	44	19	timely	timely	ADJ
cana-2482	44	20	intervention	intervention	NOUN
cana-2482	44	21	,	,	PUNCT
cana-2482	44	22	and	and	CCONJ
cana-2482	44	23	reduce	reduce	VERB
cana-2482	44	24	the	the	DET
cana-2482	44	25	risk	risk	NOUN
cana-2482	44	26	of	of	ADP
cana-2482	44	27	hypertension	hypertension	NOUN
cana-2482	44	28	.	.	PUNCT
cana-2482	45	1	having	have	VERB
cana-2482	45	2	monitoring	monitoring	NOUN
cana-2482	45	3	indicators	indicator	NOUN
cana-2482	45	4	allows	allow	VERB
cana-2482	45	5	doctors	doctor	NOUN
cana-2482	45	6	to	to	PART
cana-2482	45	7	get	get	VERB
cana-2482	45	8	information	information	NOUN
cana-2482	45	9	about	about	ADP
cana-2482	45	10	the	the	DET
cana-2482	45	11	patients	patient	NOUN
cana-2482	45	12	heart	heart	NOUN
cana-2482	45	13	condition	condition	NOUN
cana-2482	45	14	,	,	PUNCT
cana-2482	45	15	which	which	PRON
cana-2482	45	16	is	be	AUX
cana-2482	45	17	important	important	ADJ
cana-2482	45	18	for	for	ADP
cana-2482	45	19	early	early	ADJ
cana-2482	45	20	detection	detection	NOUN
cana-2482	45	21	of	of	ADP
cana-2482	45	22	this	this	DET
cana-2482	45	23	condition	condition	NOUN
cana-2482	45	24	.	.	PUNCT
cana-2482	46	1	however	however	ADV
cana-2482	46	2	,	,	PUNCT
cana-2482	46	3	iot	iot	PROPN
cana-2482	46	4	data	datum	NOUN
cana-2482	46	5	is	be	AUX
cana-2482	46	6	often	often	ADV
cana-2482	46	7	noisy	noisy	ADJ
cana-2482	46	8	,	,	PUNCT
cana-2482	46	9	incomplete	incomplete	ADJ
cana-2482	46	10	,	,	PUNCT
cana-2482	46	11	and	and	CCONJ
cana-2482	46	12	inconsistent	inconsistent	ADJ
cana-2482	46	13	,	,	PUNCT
cana-2482	46	14	and	and	CCONJ
cana-2482	46	15	requires	require	VERB
cana-2482	46	16	robust	robust	ADJ
cana-2482	46	17	processing	processing	NOUN
cana-2482	46	18	techniques	technique	NOUN
cana-2482	46	19	to	to	PART
cana-2482	46	20	be	be	AUX
cana-2482	46	21	accurate	accurate	ADJ
cana-2482	46	22	.	.	PUNCT
cana-2482	47	1	cnn	cnn	PROPN
cana-2482	47	2	and	and	CCONJ
cana-2482	47	3	lstm	lstm	PROPN
cana-2482	47	4	architectures	architecture	NOUN
cana-2482	47	5	in	in	ADP
cana-2482	47	6	health	health	NOUN
cana-2482	47	7	prediction	prediction	NOUN
cana-2482	47	8	deep	deep	ADJ
cana-2482	47	9	learning	learning	NOUN
cana-2482	47	10	,	,	PUNCT
cana-2482	47	11	especially	especially	ADV
cana-2482	47	12	convolutional	convolutional	ADJ
cana-2482	47	13	neural	neural	ADJ
cana-2482	47	14	networks	network	NOUN
cana-2482	47	15	(	(	PUNCT
cana-2482	47	16	cnn	cnn	PROPN
cana-2482	47	17	)	)	PUNCT
cana-2482	47	18	and	and	CCONJ
cana-2482	47	19	long	long	ADJ
cana-2482	47	20	-	-	PUNCT
cana-2482	47	21	term	term	NOUN
cana-2482	47	22	memory	memory	NOUN
cana-2482	47	23	(	(	PUNCT
cana-2482	47	24	lstm	lstm	NOUN
cana-2482	47	25	)	)	PUNCT
cana-2482	47	26	networks	network	NOUN
cana-2482	47	27	,	,	PUNCT
cana-2482	47	28	are	be	AUX
cana-2482	47	29	very	very	ADV
cana-2482	47	30	useful	useful	ADJ
cana-2482	47	31	in	in	ADP
cana-2482	47	32	health	health	NOUN
cana-2482	47	33	prediction	prediction	NOUN
cana-2482	47	34	as	as	SCONJ
cana-2482	47	35	they	they	PRON
cana-2482	47	36	can	can	AUX
cana-2482	47	37	analyze	analyze	VERB
cana-2482	47	38	difficult	difficult	ADJ
cana-2482	47	39	information	information	NOUN
cana-2482	47	40	.	.	PUNCT
cana-2482	47	41	.	.	PUNCT
cana-2482	48	1	good	good	ADJ
cana-2482	48	2	agreement	agreement	NOUN
cana-2482	48	3	and	and	CCONJ
cana-2482	48	4	high	high	ADJ
cana-2482	48	5	data	datum	NOUN
cana-2482	48	6	.	.	PUNCT
cana-2482	49	1	for	for	ADP
cana-2482	49	2	example	example	NOUN
cana-2482	49	3	,	,	PUNCT
cana-2482	49	4	ma	ma	PROPN
cana-2482	49	5	et	et	PROPN
cana-2482	49	6	al	al	PROPN
cana-2482	49	7	.	.	PUNCT
cana-2482	50	1	(	(	PUNCT
cana-2482	50	2	2019)[7	2019)[7	PROPN
cana-2482	50	3	]	]	X
cana-2482	50	4	used	use	VERB
cana-2482	50	5	cnn	cnn	PROPN
cana-2482	50	6	to	to	PART
cana-2482	50	7	analyze	analyze	VERB
cana-2482	50	8	electrocardiogram	electrocardiogram	NOUN
cana-2482	50	9	signals	signal	NOUN
cana-2482	50	10	for	for	ADP
cana-2482	50	11	the	the	DET
cana-2482	50	12	purpose	purpose	NOUN
cana-2482	50	13	of	of	ADP
cana-2482	50	14	diagnosing	diagnose	VERB
cana-2482	50	15	heart	heart	NOUN
cana-2482	50	16	disease	disease	NOUN
cana-2482	50	17	and	and	CCONJ
cana-2482	50	18	showed	show	VERB
cana-2482	50	19	high	high	ADJ
cana-2482	50	20	accuracy	accuracy	NOUN
cana-2482	50	21	in	in	ADP
cana-2482	50	22	identifying	identify	VERB
cana-2482	50	23	certain	certain	ADJ
cana-2482	50	24	patterns	pattern	NOUN
cana-2482	50	25	indicating	indicate	VERB
cana-2482	50	26	heart	heart	NOUN
cana-2482	50	27	problems	problem	NOUN
cana-2482	50	28	.	.	PUNCT
cana-2482	51	1	cnns	cnns	PROPN
cana-2482	51	2	are	be	AUX
cana-2482	51	3	good	good	ADJ
cana-2482	51	4	at	at	ADP
cana-2482	51	5	identifying	identify	VERB
cana-2482	51	6	such	such	ADJ
cana-2482	51	7	features	feature	NOUN
cana-2482	51	8	in	in	ADP
cana-2482	51	9	data	datum	NOUN
cana-2482	51	10	,	,	PUNCT
cana-2482	51	11	making	make	VERB
cana-2482	51	12	them	they	PRON
cana-2482	51	13	suitable	suitable	ADJ
cana-2482	51	14	for	for	ADP
cana-2482	51	15	pre	pre	ADJ
cana-2482	51	16	-	-	NOUN
cana-2482	51	17	extraction	extraction	NOUN
cana-2482	51	18	of	of	ADP
cana-2482	51	19	various	various	ADJ
cana-2482	51	20	medical	medical	ADJ
cana-2482	51	21	iot	iot	PROPN
cana-2482	51	22	data	datum	NOUN
cana-2482	51	23	,	,	PUNCT
cana-2482	51	24	as	as	SCONJ
cana-2482	51	25	shown	show	VERB
cana-2482	51	26	by	by	ADP
cana-2482	51	27	gupta	gupta	PROPN
cana-2482	51	28	et	et	PROPN
cana-2482	51	29	al	al	PROPN
cana-2482	51	30	.	.	PUNCT
cana-2482	52	1	(	(	PUNCT
cana-2482	52	2	2020)[4	2020)[4	NUM
cana-2482	52	3	]	]	PUNCT
cana-2482	52	4	in	in	ADP
cana-2482	52	5	their	their	PRON
cana-2482	52	6	study	study	NOUN
cana-2482	52	7	on	on	ADP
cana-2482	52	8	clothing	clothing	NOUN
cana-2482	52	9	profiling	profiling	NOUN
cana-2482	52	10	for	for	ADP
cana-2482	52	11	cardiovascular	cardiovascular	ADJ
cana-2482	52	12	risk	risk	NOUN
cana-2482	52	13	assessment	assessment	NOUN
cana-2482	52	14	.	.	PUNCT
cana-2482	53	1	medical	medical	ADJ
cana-2482	53	2	data	datum	NOUN
cana-2482	53	3	(	(	PUNCT
cana-2482	53	4	such	such	ADJ
cana-2482	53	5	as	as	ADP
cana-2482	53	6	physiological	physiological	ADJ
cana-2482	53	7	readings	reading	NOUN
cana-2482	53	8	)	)	PUNCT
cana-2482	53	9	are	be	AUX
cana-2482	53	10	particularly	particularly	ADV
cana-2482	53	11	time	time	NOUN
cana-2482	53	12	-	-	PUNCT
cana-2482	53	13	consuming	consume	VERB
cana-2482	53	14	.	.	PUNCT
cana-2482	54	1	giri	giri	PROPN
cana-2482	54	2	et	et	PROPN
cana-2482	54	3	al	al	PROPN
cana-2482	54	4	.	.	PUNCT
cana-2482	55	1	(	(	PUNCT
cana-2482	55	2	2021)[3	2021)[3	NOUN
cana-2482	55	3	]	]	PUNCT
cana-2482	55	4	demonstrated	demonstrate	VERB
cana-2482	55	5	the	the	DET
cana-2482	55	6	effectiveness	effectiveness	NOUN
cana-2482	55	7	of	of	ADP
cana-2482	55	8	lstm	lstm	NOUN
cana-2482	55	9	in	in	ADP
cana-2482	55	10	capturing	capture	VERB
cana-2482	55	11	the	the	DET
cana-2482	55	12	temporal	temporal	ADJ
cana-2482	55	13	patterns	pattern	NOUN
cana-2482	55	14	of	of	ADP
cana-2482	55	15	heart	heart	NOUN
cana-2482	55	16	rate	rate	NOUN
cana-2482	55	17	and	and	CCONJ
cana-2482	55	18	blood	blood	NOUN
cana-2482	55	19	pressure	pressure	NOUN
cana-2482	55	20	data	datum	NOUN
cana-2482	55	21	,	,	PUNCT
cana-2482	55	22	enabling	enable	VERB
cana-2482	55	23	accurate	accurate	ADJ
cana-2482	55	24	prediction	prediction	NOUN
cana-2482	55	25	of	of	ADP
cana-2482	55	26	cardiac	cardiac	ADJ
cana-2482	55	27	events	event	NOUN
cana-2482	55	28	.	.	PUNCT
cana-2482	56	1	similarly	similarly	ADV
cana-2482	56	2	,	,	PUNCT
cana-2482	56	3	bashir	bashir	PROPN
cana-2482	56	4	et	et	PROPN
cana-2482	56	5	al	al	PROPN
cana-2482	56	6	.	.	PROPN
cana-2482	57	1	(	(	PUNCT
cana-2482	57	2	2020)[2	2020)[2	X
cana-2482	57	3	]	]	PUNCT
cana-2482	57	4	found	find	VERB
cana-2482	57	5	that	that	SCONJ
cana-2482	57	6	lstm	lstm	PROPN
cana-2482	57	7	outperformed	outperform	VERB
cana-2482	57	8	traditional	traditional	ADJ
cana-2482	57	9	rnn	rnn	NOUN
cana-2482	57	10	in	in	ADP
cana-2482	57	11	predicting	predict	VERB
cana-2482	57	12	the	the	DET
cana-2482	57	13	status	status	NOUN
cana-2482	57	14	of	of	ADP
cana-2482	57	15	disease	disease	NOUN
cana-2482	57	16	data	datum	NOUN
cana-2482	57	17	,	,	PUNCT
cana-2482	57	18	which	which	PRON
cana-2482	57	19	usually	usually	ADV
cana-2482	57	20	has	have	VERB
cana-2482	57	21	dynamic	dynamic	ADJ
cana-2482	57	22	time	time	NOUN
cana-2482	57	23	,	,	PUNCT
cana-2482	57	24	making	make	VERB
cana-2482	57	25	lstm	lstm	NOUN
cana-2482	57	26	the	the	DET
cana-2482	57	27	first	first	ADJ
cana-2482	57	28	choice	choice	NOUN
cana-2482	57	29	for	for	ADP
cana-2482	57	30	health	health	NOUN
cana-2482	57	31	monitoring	monitoring	NOUN
cana-2482	57	32	tasks	task	NOUN
cana-2482	57	33	.	.	PUNCT
cana-2482	58	1	cnns	cnns	PROPN
cana-2482	58	2	can	can	AUX
cana-2482	58	3	capture	capture	VERB
cana-2482	58	4	spatial	spatial	ADJ
cana-2482	58	5	features	feature	NOUN
cana-2482	58	6	well	well	ADV
cana-2482	58	7	,	,	PUNCT
cana-2482	58	8	but	but	CCONJ
cana-2482	58	9	they	they	PRON
cana-2482	58	10	can	can	AUX
cana-2482	58	11	not	not	PART
cana-2482	58	12	store	store	VERB
cana-2482	58	13	real	real	ADJ
cana-2482	58	14	-	-	PUNCT
cana-2482	58	15	time	time	NOUN
cana-2482	58	16	memory	memory	NOUN
cana-2482	58	17	,	,	PUNCT
cana-2482	58	18	which	which	PRON
cana-2482	58	19	limits	limit	VERB
cana-2482	58	20	their	their	PRON
cana-2482	58	21	ability	ability	NOUN
cana-2482	58	22	to	to	PART
cana-2482	58	23	predict	predict	VERB
cana-2482	58	24	applications	application	NOUN
cana-2482	58	25	involving	involve	VERB
cana-2482	58	26	physical	physical	ADJ
cana-2482	58	27	trends	trend	NOUN
cana-2482	58	28	.	.	PUNCT
cana-2482	59	1	in	in	ADP
cana-2482	59	2	contrast	contrast	NOUN
cana-2482	59	3	,	,	PUNCT
cana-2482	59	4	although	although	SCONJ
cana-2482	59	5	lstms	lstms	ADJ
cana-2482	59	6	perform	perform	VERB
cana-2482	59	7	well	well	ADV
cana-2482	59	8	in	in	ADP
cana-2482	59	9	temporal	temporal	ADJ
cana-2482	59	10	analysis	analysis	NOUN
cana-2482	59	11	,	,	PUNCT
cana-2482	59	12	their	their	PRON
cana-2482	59	13	ability	ability	NOUN
cana-2482	59	14	to	to	PART
cana-2482	59	15	extract	extract	VERB
cana-2482	59	16	spatial	spatial	ADJ
cana-2482	59	17	patterns	pattern	NOUN
cana-2482	59	18	is	be	AUX
cana-2482	59	19	limited	limited	ADJ
cana-2482	59	20	.	.	PUNCT
cana-2482	60	1	this	this	DET
cana-2482	60	2	combination	combination	NOUN
cana-2482	60	3	has	have	AUX
cana-2482	60	4	led	lead	VERB
cana-2482	60	5	to	to	ADP
cana-2482	60	6	increased	increase	VERB
cana-2482	60	7	interest	interest	NOUN
cana-2482	60	8	in	in	ADP
cana-2482	60	9	hybrid	hybrid	ADJ
cana-2482	60	10	cnn	cnn	PROPN
cana-2482	60	11	-	-	PUNCT
cana-2482	60	12	lstm	lstm	ADJ
cana-2482	60	13	models	model	NOUN
cana-2482	60	14	.	.	PUNCT
cana-2482	61	1	hybrid	hybrid	ADJ
cana-2482	61	2	cnn	cnn	PROPN
cana-2482	61	3	-	-	PUNCT
cana-2482	61	4	lstm	lstm	ADJ
cana-2482	61	5	models	model	NOUN
cana-2482	61	6	for	for	ADP
cana-2482	61	7	health	health	NOUN
cana-2482	61	8	prediction	prediction	NOUN
cana-2482	61	9	hybrid	hybrid	ADJ
cana-2482	61	10	cnn	cnn	PROPN
cana-2482	61	11	-	-	PUNCT
cana-2482	61	12	lstm	lstm	ADJ
cana-2482	61	13	models	model	NOUN
cana-2482	61	14	have	have	AUX
cana-2482	61	15	recently	recently	ADV
cana-2482	61	16	attracted	attract	VERB
cana-2482	61	17	attention	attention	NOUN
cana-2482	61	18	because	because	SCONJ
cana-2482	61	19	they	they	PRON
cana-2482	61	20	combine	combine	VERB
cana-2482	61	21	the	the	DET
cana-2482	61	22	advantages	advantage	NOUN
cana-2482	61	23	of	of	ADP
cana-2482	61	24	cnn	cnn	PROPN
cana-2482	61	25	and	and	CCONJ
cana-2482	61	26	lstm	lstm	NOUN
cana-2482	61	27	architectures	architecture	NOUN
cana-2482	61	28	and	and	CCONJ
cana-2482	61	29	can	can	AUX
cana-2482	61	30	leverage	leverage	VERB
cana-2482	61	31	body	body	NOUN
cana-2482	61	32	and	and	CCONJ
cana-2482	61	33	body	body	NOUN
cana-2482	61	34	features	feature	VERB
cana-2482	61	35	through	through	ADP
cana-2482	61	36	health	health	NOUN
cana-2482	61	37	information	information	NOUN
cana-2482	61	38	.	.	PUNCT
cana-2482	62	1	studies	study	NOUN
cana-2482	62	2	show	show	VERB
cana-2482	62	3	that	that	SCONJ
cana-2482	62	4	hybrid	hybrid	NOUN
cana-2482	62	5	models	model	NOUN
cana-2482	62	6	generally	generally	ADV
cana-2482	62	7	outperform	outperform	VERB
cana-2482	62	8	single	single	ADJ
cana-2482	62	9	-	-	PUNCT
cana-2482	62	10	model	model	NOUN
cana-2482	62	11	architectures	architecture	NOUN
cana-2482	62	12	in	in	ADP
cana-2482	62	13	terms	term	NOUN
cana-2482	62	14	of	of	ADP
cana-2482	62	15	prediction	prediction	NOUN
cana-2482	62	16	accuracy	accuracy	NOUN
cana-2482	62	17	and	and	CCONJ
cana-2482	62	18	reliability	reliability	NOUN
cana-2482	62	19	.	.	PUNCT
cana-2482	63	1	(	(	PUNCT
cana-2482	63	2	2020)[2	2020)[2	X
cana-2482	63	3	]	]	PUNCT
cana-2482	63	4	proposed	propose	VERB
cana-2482	63	5	a	a	DET
cana-2482	63	6	cnn	cnn	PROPN
cana-2482	63	7	-	-	PUNCT
cana-2482	63	8	lstm	lstm	ADJ
cana-2482	63	9	model	model	NOUN
cana-2482	63	10	for	for	ADP
cana-2482	63	11	arrhythmia	arrhythmia	NOUN
cana-2482	63	12	detection	detection	NOUN
cana-2482	63	13	using	use	VERB
cana-2482	63	14	wearable	wearable	ADJ
cana-2482	63	15	data	datum	NOUN
cana-2482	63	16	,	,	PUNCT
cana-2482	63	17	in	in	ADP
cana-2482	63	18	which	which	PRON
cana-2482	63	19	the	the	DET
cana-2482	63	20	cnn	cnn	NOUN
cana-2482	63	21	layer	layer	NOUN
cana-2482	63	22	removes	remove	VERB
cana-2482	63	23	features	feature	NOUN
cana-2482	63	24	of	of	ADP
cana-2482	63	25	ecg	ecg	PROPN
cana-2482	63	26	signals	signal	NOUN
cana-2482	63	27	and	and	CCONJ
cana-2482	63	28	the	the	DET
cana-2482	63	29	lstm	lstm	NOUN
cana-2482	63	30	layer	layer	NOUN
cana-2482	63	31	identifies	identify	VERB
cana-2482	63	32	physical	physical	ADJ
cana-2482	63	33	patterns	pattern	NOUN
cana-2482	63	34	.	.	PUNCT
cana-2482	64	1	their	their	PRON
cana-2482	64	2	study	study	NOUN
cana-2482	64	3	showed	show	VERB
cana-2482	64	4	that	that	SCONJ
cana-2482	64	5	the	the	DET
cana-2482	64	6	combined	combined	ADJ
cana-2482	64	7	method	method	NOUN
cana-2482	64	8	increases	increase	VERB
cana-2482	64	9	the	the	DET
cana-2482	64	10	accuracy	accuracy	NOUN
cana-2482	64	11	of	of	ADP
cana-2482	64	12	arrhythmia	arrhythmia	NOUN
cana-2482	64	13	detection	detection	NOUN
cana-2482	64	14	compared	compare	VERB
cana-2482	64	15	to	to	ADP
cana-2482	64	16	cnn	cnn	PROPN
cana-2482	64	17	or	or	CCONJ
cana-2482	64	18	lstm	lstm	ADJ
cana-2482	64	19	representative	representative	NOUN
cana-2482	64	20	models	model	NOUN
cana-2482	64	21	.	.	PUNCT
cana-2482	65	1	in	in	ADP
cana-2482	65	2	a	a	DET
cana-2482	65	3	similar	similar	ADJ
cana-2482	65	4	study	study	NOUN
cana-2482	65	5	,	,	PUNCT
cana-2482	65	6	khan	khan	PROPN
cana-2482	65	7	et	et	PROPN
cana-2482	65	8	tel:2018	tel:2018	VERB
cana-2482	65	9	tel:2019	tel:2019	NUM
cana-2482	65	10	tel:2019	tel:2019	ADJ
cana-2482	65	11	tel:2020	tel:2020	NOUN
cana-2482	65	12	tel:2021	tel:2021	NOUN
cana-2482	65	13	tel:2020	tel:2020	NOUN
cana-2482	65	14	tel:2020	tel:2020	NOUN
cana-2482	65	15	communications	communication	NOUN
cana-2482	65	16	on	on	ADP
cana-2482	65	17	applied	apply	VERB
cana-2482	65	18	nonlinear	nonlinear	ADJ
cana-2482	65	19	analysis	analysis	NOUN
cana-2482	65	20	issn	issn	NOUN
cana-2482	65	21	:	:	PUNCT
cana-2482	65	22	1074	1074	NUM
cana-2482	65	23	-	-	PUNCT
cana-2482	65	24	133x	133x	NUM
cana-2482	65	25	vol	vol	NOUN
cana-2482	65	26	32	32	NUM
cana-2482	65	27	no	no	NOUN
cana-2482	65	28	.	.	NOUN
cana-2482	65	29	3	3	NUM
cana-2482	65	30	(	(	PUNCT
cana-2482	65	31	2025	2025	NUM
cana-2482	65	32	)	)	PUNCT
cana-2482	65	33	682	682	NUM
cana-2482	65	34	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	65	35	al	al	PROPN
cana-2482	65	36	.	.	PUNCT
cana-2482	66	1	(	(	PUNCT
cana-2482	66	2	2021)[5	2021)[5	PROPN
cana-2482	66	3	]	]	PUNCT
cana-2482	66	4	used	use	VERB
cana-2482	66	5	a	a	DET
cana-2482	66	6	cnn	cnn	PROPN
cana-2482	66	7	-	-	PUNCT
cana-2482	66	8	lstm	lstm	PROPN
cana-2482	66	9	model	model	NOUN
cana-2482	66	10	to	to	PART
cana-2482	66	11	predict	predict	VERB
cana-2482	66	12	type	type	NOUN
cana-2482	66	13	2	2	NUM
cana-2482	66	14	diabetes	diabetes	NOUN
cana-2482	66	15	symptoms	symptom	NOUN
cana-2482	66	16	using	use	VERB
cana-2482	66	17	continuous	continuous	ADJ
cana-2482	66	18	glucose	glucose	NOUN
cana-2482	66	19	monitoring	monitoring	NOUN
cana-2482	66	20	data	datum	NOUN
cana-2482	66	21	,	,	PUNCT
cana-2482	66	22	demonstrating	demonstrate	VERB
cana-2482	66	23	the	the	DET
cana-2482	66	24	effectiveness	effectiveness	NOUN
cana-2482	66	25	of	of	ADP
cana-2482	66	26	the	the	DET
cana-2482	66	27	hybrid	hybrid	ADJ
cana-2482	66	28	model	model	NOUN
cana-2482	66	29	in	in	ADP
cana-2482	66	30	addressing	address	VERB
cana-2482	66	31	changes	change	NOUN
cana-2482	66	32	in	in	ADP
cana-2482	66	33	short	short	ADJ
cana-2482	66	34	and	and	CCONJ
cana-2482	66	35	long	long	ADJ
cana-2482	66	36	-	-	PUNCT
cana-2482	66	37	term	term	NOUN
cana-2482	66	38	patterns	pattern	NOUN
cana-2482	66	39	of	of	ADP
cana-2482	66	40	blood	blood	NOUN
cana-2482	66	41	glucose	glucose	NOUN
cana-2482	66	42	.	.	PUNCT
cana-2482	67	1	some	some	DET
cana-2482	67	2	studies	study	NOUN
cana-2482	67	3	have	have	AUX
cana-2482	67	4	focused	focus	VERB
cana-2482	67	5	specifically	specifically	ADV
cana-2482	67	6	on	on	ADP
cana-2482	67	7	renovascular	renovascular	ADJ
cana-2482	67	8	hypertension	hypertension	NOUN
cana-2482	67	9	,	,	PUNCT
cana-2482	67	10	but	but	CCONJ
cana-2482	67	11	research	research	NOUN
cana-2482	67	12	on	on	ADP
cana-2482	67	13	hybrid	hybrid	ADJ
cana-2482	67	14	models	model	NOUN
cana-2482	67	15	for	for	ADP
cana-2482	67	16	predicting	predict	VERB
cana-2482	67	17	hypertension	hypertension	NOUN
cana-2482	67	18	in	in	ADP
cana-2482	67	19	general	general	ADJ
cana-2482	67	20	is	be	AUX
cana-2482	67	21	promising	promise	VERB
cana-2482	67	22	.	.	PUNCT
cana-2482	68	1	for	for	ADP
cana-2482	68	2	example	example	NOUN
cana-2482	68	3	,	,	PUNCT
cana-2482	68	4	zhang	zhang	PROPN
cana-2482	68	5	et	et	PROPN
cana-2482	68	6	al	al	PROPN
cana-2482	68	7	.	.	PROPN
cana-2482	69	1	(	(	PUNCT
cana-2482	69	2	2022)[9	2022)[9	PROPN
cana-2482	69	3	]	]	PUNCT
cana-2482	69	4	developed	develop	VERB
cana-2482	69	5	a	a	DET
cana-2482	69	6	cnn	cnn	PROPN
cana-2482	69	7	-	-	PUNCT
cana-2482	69	8	lstm	lstm	ADJ
cana-2482	69	9	model	model	NOUN
cana-2482	69	10	that	that	PRON
cana-2482	69	11	can	can	AUX
cana-2482	69	12	analyze	analyze	VERB
cana-2482	69	13	continuous	continuous	ADJ
cana-2482	69	14	blood	blood	NOUN
cana-2482	69	15	pressure	pressure	NOUN
cana-2482	69	16	and	and	CCONJ
cana-2482	69	17	heart	heart	NOUN
cana-2482	69	18	rate	rate	NOUN
cana-2482	69	19	data	datum	NOUN
cana-2482	69	20	from	from	ADP
cana-2482	69	21	iot	iot	NOUN
cana-2482	69	22	devices	device	NOUN
cana-2482	69	23	and	and	CCONJ
cana-2482	69	24	obtain	obtain	VERB
cana-2482	69	25	improved	improved	ADJ
cana-2482	69	26	prediction	prediction	NOUN
cana-2482	69	27	.	.	PUNCT
cana-2482	70	1	the	the	DET
cana-2482	70	2	results	result	NOUN
cana-2482	70	3	showed	show	VERB
cana-2482	70	4	that	that	SCONJ
cana-2482	70	5	the	the	DET
cana-2482	70	6	hybrid	hybrid	NOUN
cana-2482	70	7	model	model	NOUN
cana-2482	70	8	can	can	AUX
cana-2482	70	9	detect	detect	VERB
cana-2482	70	10	the	the	DET
cana-2482	70	11	onset	onset	NOUN
cana-2482	70	12	of	of	ADP
cana-2482	70	13	hypertension	hypertension	NOUN
cana-2482	70	14	earlier	early	ADV
cana-2482	70	15	than	than	ADP
cana-2482	70	16	the	the	DET
cana-2482	70	17	traditional	traditional	ADJ
cana-2482	70	18	method	method	NOUN
cana-2482	70	19	.	.	PUNCT
cana-2482	71	1	similarly	similarly	ADV
cana-2482	71	2	,	,	PUNCT
cana-2482	71	3	ahmed	ahmed	PROPN
cana-2482	71	4	et	et	PROPN
cana-2482	71	5	al	al	PROPN
cana-2482	71	6	.	.	PUNCT
cana-2482	72	1	(	(	PUNCT
cana-2482	72	2	2023)[1	2023)[1	PROPN
cana-2482	72	3	]	]	PUNCT
cana-2482	72	4	combined	combine	VERB
cana-2482	72	5	the	the	DET
cana-2482	72	6	cnn	cnn	PROPN
cana-2482	72	7	-	-	PUNCT
cana-2482	72	8	lstm	lstm	PROPN
cana-2482	72	9	model	model	NOUN
cana-2482	72	10	with	with	ADP
cana-2482	72	11	iot	iot	PROPN
cana-2482	72	12	data	datum	NOUN
cana-2482	72	13	to	to	PART
cana-2482	72	14	predict	predict	VERB
cana-2482	72	15	cardiovascular	cardiovascular	ADJ
cana-2482	72	16	risk	risk	NOUN
cana-2482	72	17	,	,	PUNCT
cana-2482	72	18	and	and	CCONJ
cana-2482	72	19	the	the	DET
cana-2482	72	20	results	result	NOUN
cana-2482	72	21	showed	show	VERB
cana-2482	72	22	that	that	SCONJ
cana-2482	72	23	the	the	DET
cana-2482	72	24	combination	combination	NOUN
cana-2482	72	25	of	of	ADP
cana-2482	72	26	cnn	cnn	PROPN
cana-2482	72	27	feature	feature	NOUN
cana-2482	72	28	extraction	extraction	NOUN
cana-2482	72	29	and	and	CCONJ
cana-2482	72	30	lstm	lstm	NOUN
cana-2482	72	31	sequence	sequence	NOUN
cana-2482	72	32	modeling	modeling	NOUN
cana-2482	72	33	can	can	AUX
cana-2482	72	34	provide	provide	VERB
cana-2482	72	35	more	more	ADJ
cana-2482	72	36	information	information	NOUN
cana-2482	72	37	about	about	ADP
cana-2482	72	38	the	the	DET
cana-2482	72	39	patient	patient	NOUN
cana-2482	72	40	's	's	PART
cana-2482	72	41	health	health	NOUN
cana-2482	72	42	.	.	PUNCT
cana-2482	73	1	&	&	CCONJ
cana-2482	73	2	gt	gt	PROPN
cana-2482	73	3	;	;	PUNCT
cana-2482	73	4	these	these	DET
cana-2482	73	5	studies	study	NOUN
cana-2482	73	6	demonstrate	demonstrate	VERB
cana-2482	73	7	the	the	DET
cana-2482	73	8	ability	ability	NOUN
cana-2482	73	9	of	of	ADP
cana-2482	73	10	the	the	DET
cana-2482	73	11	cnn	cnn	PROPN
cana-2482	73	12	-	-	PUNCT
cana-2482	73	13	lstm	lstm	ADJ
cana-2482	73	14	hybrid	hybrid	NOUN
cana-2482	73	15	model	model	NOUN
cana-2482	73	16	to	to	PART
cana-2482	73	17	accurately	accurately	ADV
cana-2482	73	18	predict	predict	VERB
cana-2482	73	19	diseases	disease	NOUN
cana-2482	73	20	with	with	ADP
cana-2482	73	21	location	location	NOUN
cana-2482	73	22	and	and	CCONJ
cana-2482	73	23	body	body	NOUN
cana-2482	73	24	,	,	PUNCT
cana-2482	73	25	such	such	ADJ
cana-2482	73	26	as	as	ADP
cana-2482	73	27	renovascular	renovascular	ADJ
cana-2482	73	28	hypertension	hypertension	NOUN
cana-2482	73	29	.	.	PUNCT
cana-2482	74	1	by	by	ADP
cana-2482	74	2	applying	apply	VERB
cana-2482	74	3	this	this	DET
cana-2482	74	4	combination	combination	NOUN
cana-2482	74	5	to	to	ADP
cana-2482	74	6	iot	iot	PROPN
cana-2482	74	7	sensor	sensor	NOUN
cana-2482	74	8	data	datum	NOUN
cana-2482	74	9	,	,	PUNCT
cana-2482	74	10	researchers	researcher	NOUN
cana-2482	74	11	can	can	AUX
cana-2482	74	12	improve	improve	VERB
cana-2482	74	13	the	the	DET
cana-2482	74	14	accuracy	accuracy	NOUN
cana-2482	74	15	of	of	ADP
cana-2482	74	16	predictions	prediction	NOUN
cana-2482	74	17	and	and	CCONJ
cana-2482	74	18	provide	provide	VERB
cana-2482	74	19	timely	timely	ADJ
cana-2482	74	20	intervention	intervention	NOUN
cana-2482	74	21	to	to	ADP
cana-2482	74	22	at	at	ADP
cana-2482	74	23	-	-	PUNCT
cana-2482	74	24	risk	risk	NOUN
cana-2482	74	25	patients	patient	NOUN
cana-2482	74	26	.	.	PUNCT
cana-2482	75	1	iii	iii	X
cana-2482	75	2	.	.	PROPN
cana-2482	75	3	results	result	NOUN
cana-2482	75	4	and	and	CCONJ
cana-2482	75	5	discussion	discussion	NOUN
cana-2482	75	6	confusion	confusion	NOUN
cana-2482	75	7	matrix	matrix	NOUN
cana-2482	75	8	:	:	PUNCT
cana-2482	75	9	after	after	ADP
cana-2482	75	10	running	run	VERB
cana-2482	75	11	the	the	DET
cana-2482	75	12	predictions	prediction	NOUN
cana-2482	75	13	,	,	PUNCT
cana-2482	75	14	evaluation	evaluation	NOUN
cana-2482	75	15	metrics	metric	NOUN
cana-2482	75	16	like	like	ADP
cana-2482	75	17	accuracy	accuracy	NOUN
cana-2482	75	18	,	,	PUNCT
cana-2482	75	19	precision	precision	NOUN
cana-2482	75	20	,	,	PUNCT
cana-2482	75	21	recall	recall	NOUN
cana-2482	75	22	,	,	PUNCT
cana-2482	75	23	and	and	CCONJ
cana-2482	75	24	f1	f1	NOUN
cana-2482	75	25	-	-	PUNCT
cana-2482	75	26	score	score	NOUN
cana-2482	75	27	are	be	AUX
cana-2482	75	28	calculated	calculate	VERB
cana-2482	75	29	for	for	ADP
cana-2482	75	30	the	the	DET
cana-2482	75	31	overall	overall	ADJ
cana-2482	75	32	150	150	NUM
cana-2482	75	33	cases	case	NOUN
cana-2482	75	34	.	.	PUNCT
cana-2482	76	1	here	here	ADV
cana-2482	76	2	’s	’	VERB
cana-2482	76	3	an	an	DET
cana-2482	76	4	example	example	NOUN
cana-2482	76	5	of	of	ADP
cana-2482	76	6	these	these	DET
cana-2482	76	7	metrics	metric	NOUN
cana-2482	76	8	:	:	PUNCT
cana-2482	76	9	accuracy	accuracy	NOUN
cana-2482	76	10	:	:	PUNCT
cana-2482	76	11	the	the	DET
cana-2482	76	12	percentage	percentage	NOUN
cana-2482	76	13	of	of	ADP
cana-2482	76	14	correctly	correctly	ADV
cana-2482	76	15	predicted	predict	VERB
cana-2482	76	16	cases	case	NOUN
cana-2482	76	17	.	.	PUNCT
cana-2482	77	1	precision	precision	NOUN
cana-2482	77	2	:	:	PUNCT
cana-2482	77	3	the	the	DET
cana-2482	77	4	percentage	percentage	NOUN
cana-2482	77	5	of	of	ADP
cana-2482	77	6	correctly	correctly	ADV
cana-2482	77	7	predicted	predict	VERB
cana-2482	77	8	renovascular	renovascular	ADJ
cana-2482	77	9	hypertension	hypertension	NOUN
cana-2482	77	10	cases	case	NOUN
cana-2482	77	11	out	out	ADP
cana-2482	77	12	of	of	ADP
cana-2482	77	13	all	all	PRON
cana-2482	77	14	predicted	predict	VERB
cana-2482	77	15	positive	positive	ADJ
cana-2482	77	16	cases	case	NOUN
cana-2482	77	17	.	.	PUNCT
cana-2482	78	1	recall	recall	NOUN
cana-2482	78	2	:	:	PUNCT
cana-2482	78	3	the	the	DET
cana-2482	78	4	percentage	percentage	NOUN
cana-2482	78	5	of	of	ADP
cana-2482	78	6	correctly	correctly	ADV
cana-2482	78	7	predicted	predict	VERB
cana-2482	78	8	renovascular	renovascular	ADJ
cana-2482	78	9	hypertension	hypertension	NOUN
cana-2482	78	10	cases	case	NOUN
cana-2482	78	11	out	out	ADP
cana-2482	78	12	of	of	ADP
cana-2482	78	13	all	all	DET
cana-2482	78	14	actual	actual	ADJ
cana-2482	78	15	positive	positive	ADJ
cana-2482	78	16	cases	case	NOUN
cana-2482	78	17	.	.	PUNCT
cana-2482	79	1	f1	f1	NOUN
cana-2482	79	2	-	-	PUNCT
cana-2482	79	3	score	score	NOUN
cana-2482	79	4	:	:	PUNCT
cana-2482	79	5	the	the	DET
cana-2482	79	6	harmonic	harmonic	ADJ
cana-2482	79	7	mean	mean	NOUN
cana-2482	79	8	of	of	ADP
cana-2482	79	9	precision	precision	NOUN
cana-2482	79	10	and	and	CCONJ
cana-2482	79	11	recall	recall	NOUN
cana-2482	79	12	.	.	PUNCT
cana-2482	80	1	results	result	NOUN
cana-2482	80	2	:	:	PUNCT
cana-2482	80	3	true	true	ADJ
cana-2482	80	4	positives	positive	NOUN
cana-2482	80	5	(	(	PUNCT
cana-2482	80	6	tp	tp	NOUN
cana-2482	80	7	):	):	PUNCT
cana-2482	80	8	28	28	NUM
cana-2482	80	9	(	(	PUNCT
cana-2482	80	10	correctly	correctly	ADV
cana-2482	80	11	predicted	predict	VERB
cana-2482	80	12	renovascular	renovascular	ADJ
cana-2482	80	13	hypertension	hypertension	NOUN
cana-2482	80	14	)	)	PUNCT
cana-2482	80	15	false	false	ADJ
cana-2482	80	16	positives	positive	NOUN
cana-2482	80	17	(	(	PUNCT
cana-2482	80	18	fp	fp	X
cana-2482	80	19	):	):	PUNCT
cana-2482	80	20	2	2	NUM
cana-2482	80	21	(	(	PUNCT
cana-2482	80	22	incorrectly	incorrectly	ADV
cana-2482	80	23	predicted	predict	VERB
cana-2482	80	24	renovascular	renovascular	ADJ
cana-2482	80	25	hypertension	hypertension	NOUN
cana-2482	80	26	as	as	ADP
cana-2482	80	27	normal	normal	ADJ
cana-2482	80	28	)	)	PUNCT
cana-2482	80	29	true	true	ADJ
cana-2482	80	30	negatives	negative	NOUN
cana-2482	80	31	(	(	PUNCT
cana-2482	80	32	tn	tn	NOUN
cana-2482	80	33	):	):	PUNCT
cana-2482	80	34	118	118	NUM
cana-2482	80	35	(	(	PUNCT
cana-2482	80	36	correctly	correctly	ADV
cana-2482	80	37	predicted	predict	VERB
cana-2482	80	38	normal	normal	ADJ
cana-2482	80	39	)	)	PUNCT
cana-2482	80	40	false	false	ADJ
cana-2482	80	41	negatives	negative	NOUN
cana-2482	80	42	(	(	PUNCT
cana-2482	80	43	fn	fn	NOUN
cana-2482	80	44	):	):	PUNCT
cana-2482	80	45	2	2	NUM
cana-2482	80	46	(	(	PUNCT
cana-2482	80	47	incorrectly	incorrectly	ADV
cana-2482	80	48	predicted	predict	VERB
cana-2482	80	49	normal	normal	ADJ
cana-2482	80	50	as	as	ADP
cana-2482	80	51	renovascular	renovascular	ADJ
cana-2482	80	52	hypertension	hypertension	NOUN
cana-2482	80	53	)	)	PUNCT
cana-2482	80	54	using	use	VERB
cana-2482	80	55	these	these	DET
cana-2482	80	56	values	value	NOUN
cana-2482	80	57	,	,	PUNCT
cana-2482	80	58	the	the	DET
cana-2482	80	59	metrics	metric	NOUN
cana-2482	80	60	would	would	AUX
cana-2482	80	61	be	be	AUX
cana-2482	80	62	:	:	PUNCT
cana-2482	80	63	accuracy	accuracy	NOUN
cana-2482	80	64	=	=	SYM
cana-2482	80	65	(	(	PUNCT
cana-2482	80	66	tp	tp	X
cana-2482	80	67	+	+	CCONJ
cana-2482	80	68	tn	tn	NOUN
cana-2482	80	69	)	)	PUNCT
cana-2482	80	70	/	/	SYM
cana-2482	80	71	total	total	NOUN
cana-2482	81	1	=	=	SYM
cana-2482	81	2	(	(	PUNCT
cana-2482	81	3	28	28	NUM
cana-2482	81	4	+	+	CCONJ
cana-2482	81	5	118	118	NUM
cana-2482	81	6	)	)	PUNCT
cana-2482	81	7	/	/	SYM
cana-2482	81	8	150	150	NUM
cana-2482	81	9	=	=	SYM
cana-2482	81	10	92	92	NUM
cana-2482	81	11	%	%	NOUN
cana-2482	81	12	precision	precision	NOUN
cana-2482	81	13	=	=	PUNCT
cana-2482	81	14	tp	tp	NOUN
cana-2482	81	15	/	/	PUNCT
cana-2482	81	16	(	(	PUNCT
cana-2482	81	17	tp	tp	ADP
cana-2482	81	18	+	+	CCONJ
cana-2482	81	19	fp	fp	X
cana-2482	81	20	)	)	PUNCT
cana-2482	81	21	=	=	SYM
cana-2482	81	22	28	28	NUM
cana-2482	81	23	/	/	SYM
cana-2482	81	24	(	(	PUNCT
cana-2482	81	25	28	28	NUM
cana-2482	81	26	+	+	CCONJ
cana-2482	81	27	2	2	X
cana-2482	81	28	)	)	PUNCT
cana-2482	81	29	=	=	SYM
cana-2482	81	30	93.3	93.3	NUM
cana-2482	81	31	%	%	NOUN
cana-2482	81	32	recall	recall	NOUN
cana-2482	81	33	=	=	NOUN
cana-2482	81	34	tp	tp	NOUN
cana-2482	81	35	/	/	PUNCT
cana-2482	81	36	(	(	PUNCT
cana-2482	81	37	tp	tp	PART
cana-2482	81	38	+	+	CCONJ
cana-2482	81	39	fn	fn	NOUN
cana-2482	81	40	)	)	PUNCT
cana-2482	81	41	=	=	SYM
cana-2482	82	1	28	28	NUM
cana-2482	82	2	/	/	SYM
cana-2482	82	3	(	(	PUNCT
cana-2482	82	4	28	28	NUM
cana-2482	82	5	+	+	CCONJ
cana-2482	82	6	2	2	X
cana-2482	82	7	)	)	PUNCT
cana-2482	82	8	=	=	SYM
cana-2482	82	9	93.3	93.3	NUM
cana-2482	82	10	%	%	NOUN
cana-2482	82	11	f1	f1	NOUN
cana-2482	82	12	-	-	PUNCT
cana-2482	82	13	score	score	NOUN
cana-2482	82	14	=	=	SYM
cana-2482	82	15	2	2	NUM
cana-2482	82	16	*	*	PUNCT
cana-2482	82	17	(	(	PUNCT
cana-2482	82	18	precision	precision	NOUN
cana-2482	82	19	*	*	PUNCT
cana-2482	82	20	recall	recall	PROPN
cana-2482	82	21	)	)	PUNCT
cana-2482	82	22	/	/	PUNCT
cana-2482	82	23	(	(	PUNCT
cana-2482	82	24	precision	precision	NOUN
cana-2482	82	25	+	+	CCONJ
cana-2482	82	26	recall	recall	NOUN
cana-2482	82	27	)	)	PUNCT
cana-2482	82	28	=	=	SYM
cana-2482	83	1	2	2	NUM
cana-2482	83	2	*	*	SYM
cana-2482	83	3	(	(	PUNCT
cana-2482	83	4	93.3	93.3	NUM
cana-2482	83	5	*	*	NOUN
cana-2482	83	6	93.3	93.3	NUM
cana-2482	83	7	)	)	PUNCT
cana-2482	83	8	/	/	PUNCT
cana-2482	84	1	(	(	PUNCT
cana-2482	84	2	93.3	93.3	NUM
cana-2482	84	3	+	+	NOUN
cana-2482	84	4	93.3	93.3	NUM
cana-2482	84	5	)	)	PUNCT
cana-2482	84	6	=	=	NOUN
cana-2482	85	1	93.3	93.3	NUM
cana-2482	85	2	%	%	NOUN
cana-2482	85	3	using	use	VERB
cana-2482	85	4	these	these	DET
cana-2482	85	5	values	value	NOUN
cana-2482	85	6	,	,	PUNCT
cana-2482	85	7	the	the	DET
cana-2482	85	8	metrics	metric	NOUN
cana-2482	85	9	could	could	AUX
cana-2482	85	10	be	be	AUX
cana-2482	85	11	:	:	PUNCT
cana-2482	85	12	tel:2021	tel:2021	NOUN
cana-2482	85	13	tel:2022	tel:2022	NOUN
cana-2482	85	14	tel:2023	tel:2023	NOUN
cana-2482	86	1	tel:150	tel:150	INTJ
cana-2482	87	1	tel:118	tel:118	INTJ
cana-2482	88	1	tel:118	tel:118	X
cana-2482	88	2	tel:150	tel:150	ADP
cana-2482	88	3	tel:93.3	tel:93.3	PROPN
cana-2482	88	4	tel:93.3	tel:93.3	ADJ
cana-2482	88	5	tel:93.3	tel:93.3	ADJ
cana-2482	88	6	tel:93.3	tel:93.3	ADJ
cana-2482	88	7	tel:93.3	tel:93.3	X
cana-2482	88	8	tel:93.3	tel:93.3	ADJ
cana-2482	88	9	tel:93.3	tel:93.3	ADJ
cana-2482	88	10	communications	communication	NOUN
cana-2482	88	11	on	on	ADP
cana-2482	88	12	applied	apply	VERB
cana-2482	88	13	nonlinear	nonlinear	ADJ
cana-2482	88	14	analysis	analysis	NOUN
cana-2482	88	15	issn	issn	NOUN
cana-2482	88	16	:	:	PUNCT
cana-2482	88	17	1074	1074	NUM
cana-2482	88	18	-	-	PUNCT
cana-2482	88	19	133x	133x	NUM
cana-2482	88	20	vol	vol	NOUN
cana-2482	88	21	32	32	NUM
cana-2482	88	22	no	no	NOUN
cana-2482	88	23	.	.	NOUN
cana-2482	88	24	3	3	NUM
cana-2482	88	25	(	(	PUNCT
cana-2482	88	26	2025	2025	NUM
cana-2482	88	27	)	)	PUNCT
cana-2482	88	28	683	683	NUM
cana-2482	88	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	88	30	accuracy	accuracy	NOUN
cana-2482	88	31	:	:	PUNCT
cana-2482	88	32	the	the	DET
cana-2482	88	33	overall	overall	ADJ
cana-2482	88	34	percentage	percentage	NOUN
cana-2482	88	35	of	of	ADP
cana-2482	88	36	correctly	correctly	ADV
cana-2482	88	37	predicted	predict	VERB
cana-2482	88	38	cases	case	NOUN
cana-2482	88	39	(	(	PUNCT
cana-2482	88	40	across	across	ADP
cana-2482	88	41	all	all	DET
cana-2482	88	42	classes	class	NOUN
cana-2482	88	43	)	)	PUNCT
cana-2482	88	44	.	.	PUNCT
cana-2482	89	1	fig	fig	NOUN
cana-2482	89	2	3	3	NUM
cana-2482	89	3	roc	roc	PROPN
cana-2482	89	4	curve	curve	PROPN
cana-2482	89	5	fig	fig	NOUN
cana-2482	89	6	4	4	NUM
cana-2482	89	7	correlation	correlation	NOUN
cana-2482	89	8	among	among	ADP
cana-2482	89	9	variables	variable	NOUN
cana-2482	89	10	fig	fig	NOUN
cana-2482	89	11	5	5	NUM
cana-2482	89	12	training	training	NOUN
cana-2482	89	13	and	and	CCONJ
cana-2482	89	14	testing	testing	NOUN
cana-2482	89	15	results	result	NOUN
cana-2482	89	16	model	model	NOUN
cana-2482	89	17	time	time	NOUN
cana-2482	89	18	(	(	PUNCT
cana-2482	89	19	seconds	second	NOUN
cana-2482	89	20	)	)	PUNCT
cana-2482	89	21	svm	svm	VERB
cana-2482	89	22	16.36	16.36	NUM
cana-2482	89	23	rnn	rnn	VERB
cana-2482	89	24	12.58	12.58	NUM
cana-2482	89	25	hybrid	hybrid	NOUN
cana-2482	89	26	model	model	NOUN
cana-2482	89	27	10.67	10.67	NUM
cana-2482	89	28	table	table	NOUN
cana-2482	89	29	1	1	NUM
cana-2482	89	30	time	time	NOUN
cana-2482	89	31	consumed	consume	VERB
cana-2482	89	32	by	by	ADP
cana-2482	89	33	the	the	DET
cana-2482	89	34	models	model	NOUN
cana-2482	89	35	algorithm	algorithm	NOUN
cana-2482	89	36	accuracy	accuracy	NOUN
cana-2482	89	37	specificity	specificity	NOUN
cana-2482	89	38	sensitivity	sensitivity	NOUN
cana-2482	89	39	svm	svm	VERB
cana-2482	89	40	80	80	NUM
cana-2482	89	41	%	%	NOUN
cana-2482	89	42	87.50	87.50	NUM
cana-2482	89	43	%	%	NOUN
cana-2482	89	44	83.30	83.30	NUM
cana-2482	89	45	%	%	NOUN
cana-2482	89	46	rnn	rnn	NOUN
cana-2482	89	47	88	88	NUM
cana-2482	89	48	%	%	NOUN
cana-2482	89	49	87	87	NUM
cana-2482	89	50	%	%	NOUN
cana-2482	89	51	89	89	NUM
cana-2482	89	52	%	%	NOUN
cana-2482	89	53	hybrid	hybrid	NOUN
cana-2482	89	54	model	model	NOUN
cana-2482	89	55	92	92	NUM
cana-2482	89	56	%	%	NOUN
cana-2482	89	57	93.3	93.3	NUM
cana-2482	89	58	%	%	NOUN
cana-2482	89	59	93.3	93.3	NUM
cana-2482	89	60	%	%	NOUN
cana-2482	89	61	table	table	NOUN
cana-2482	89	62	2	2	NUM
cana-2482	89	63	confusion	confusion	NOUN
cana-2482	89	64	matrix	matrix	NOUN
cana-2482	89	65	outcomes	outcome	VERB
cana-2482	89	66	communications	communication	NOUN
cana-2482	89	67	on	on	ADP
cana-2482	89	68	applied	apply	VERB
cana-2482	89	69	nonlinear	nonlinear	ADJ
cana-2482	89	70	analysis	analysis	NOUN
cana-2482	89	71	issn	issn	NOUN
cana-2482	89	72	:	:	PUNCT
cana-2482	89	73	1074	1074	NUM
cana-2482	89	74	-	-	PUNCT
cana-2482	89	75	133x	133x	NUM
cana-2482	89	76	vol	vol	NOUN
cana-2482	89	77	32	32	NUM
cana-2482	89	78	no	no	NOUN
cana-2482	89	79	.	.	NOUN
cana-2482	89	80	3	3	NUM
cana-2482	89	81	(	(	PUNCT
cana-2482	89	82	2025	2025	NUM
cana-2482	89	83	)	)	PUNCT
cana-2482	89	84	684	684	NUM
cana-2482	89	85	https://internationalpubls.com	https://internationalpubls.com	X
cana-2482	89	86	iv	iv	NOUN
cana-2482	89	87	.	.	PUNCT
cana-2482	90	1	conclusion	conclusion	VERB
cana-2482	90	2	the	the	DET
cana-2482	90	3	prediction	prediction	NOUN
cana-2482	90	4	of	of	ADP
cana-2482	90	5	renovascular	renovascular	ADJ
cana-2482	90	6	hypertension	hypertension	NOUN
cana-2482	90	7	using	use	VERB
cana-2482	90	8	iot	iot	NOUN
cana-2482	90	9	and	and	CCONJ
cana-2482	90	10	a	a	DET
cana-2482	90	11	convolutional	convolutional	ADJ
cana-2482	90	12	neural	neural	ADJ
cana-2482	90	13	network	network	NOUN
cana-2482	90	14	(	(	PUNCT
cana-2482	90	15	cnn	cnn	PROPN
cana-2482	90	16	)	)	PUNCT
cana-2482	90	17	combined	combine	VERB
cana-2482	90	18	with	with	ADP
cana-2482	90	19	long	long	ADJ
cana-2482	90	20	short	short	ADJ
cana-2482	90	21	-	-	PUNCT
cana-2482	90	22	term	term	NOUN
cana-2482	90	23	memory	memory	NOUN
cana-2482	90	24	(	(	PUNCT
cana-2482	90	25	lstm	lstm	NOUN
cana-2482	90	26	)	)	PUNCT
cana-2482	90	27	networks	network	NOUN
cana-2482	90	28	demonstrates	demonstrate	VERB
cana-2482	90	29	a	a	DET
cana-2482	90	30	significant	significant	ADJ
cana-2482	90	31	advancement	advancement	NOUN
cana-2482	90	32	in	in	ADP
cana-2482	90	33	healthcare	healthcare	NOUN
cana-2482	90	34	monitoring	monitoring	NOUN
cana-2482	90	35	and	and	CCONJ
cana-2482	90	36	diagnosis	diagnosis	NOUN
cana-2482	90	37	.	.	PUNCT
cana-2482	91	1	by	by	ADP
cana-2482	91	2	leveraging	leverage	VERB
cana-2482	91	3	iot	iot	NOUN
cana-2482	91	4	devices	device	NOUN
cana-2482	91	5	,	,	PUNCT
cana-2482	91	6	real	real	ADJ
cana-2482	91	7	-	-	PUNCT
cana-2482	91	8	time	time	NOUN
cana-2482	91	9	patient	patient	ADJ
cana-2482	91	10	data	datum	NOUN
cana-2482	91	11	such	such	ADJ
cana-2482	91	12	as	as	ADP
cana-2482	91	13	blood	blood	NOUN
cana-2482	91	14	pressure	pressure	NOUN
cana-2482	91	15	,	,	PUNCT
cana-2482	91	16	heart	heart	NOUN
cana-2482	91	17	rate	rate	NOUN
cana-2482	91	18	,	,	PUNCT
cana-2482	91	19	and	and	CCONJ
cana-2482	91	20	other	other	ADJ
cana-2482	91	21	physiological	physiological	ADJ
cana-2482	91	22	parameters	parameter	NOUN
cana-2482	91	23	can	can	AUX
cana-2482	91	24	be	be	AUX
cana-2482	91	25	continuously	continuously	ADV
cana-2482	91	26	monitored	monitor	VERB
cana-2482	91	27	,	,	PUNCT
cana-2482	91	28	providing	provide	VERB
cana-2482	91	29	a	a	DET
cana-2482	91	30	comprehensive	comprehensive	ADJ
cana-2482	91	31	and	and	CCONJ
cana-2482	91	32	dynamic	dynamic	ADJ
cana-2482	91	33	understanding	understanding	NOUN
cana-2482	91	34	of	of	ADP
cana-2482	91	35	a	a	DET
cana-2482	91	36	patient	patient	NOUN
cana-2482	91	37	's	's	PART
cana-2482	91	38	health	health	NOUN
cana-2482	91	39	status	status	NOUN
cana-2482	91	40	.	.	PUNCT
cana-2482	92	1	the	the	DET
cana-2482	92	2	integration	integration	NOUN
cana-2482	92	3	of	of	ADP
cana-2482	92	4	cnns	cnns	PROPN
cana-2482	92	5	allows	allow	VERB
cana-2482	92	6	for	for	ADP
cana-2482	92	7	the	the	DET
cana-2482	92	8	extraction	extraction	NOUN
cana-2482	92	9	of	of	ADP
cana-2482	92	10	spatial	spatial	ADJ
cana-2482	92	11	features	feature	NOUN
cana-2482	92	12	from	from	ADP
cana-2482	92	13	this	this	DET
cana-2482	92	14	data	data	NOUN
cana-2482	92	15	,	,	PUNCT
cana-2482	92	16	while	while	SCONJ
cana-2482	92	17	lstm	lstm	ADJ
cana-2482	92	18	networks	network	NOUN
cana-2482	92	19	capture	capture	VERB
cana-2482	92	20	temporal	temporal	ADJ
cana-2482	92	21	patterns	pattern	NOUN
cana-2482	92	22	,	,	PUNCT
cana-2482	92	23	enhancing	enhance	VERB
cana-2482	92	24	the	the	DET
cana-2482	92	25	prediction	prediction	NOUN
cana-2482	92	26	accuracy	accuracy	NOUN
cana-2482	92	27	of	of	ADP
cana-2482	92	28	renovascular	renovascular	ADJ
cana-2482	92	29	hypertension	hypertension	NOUN
cana-2482	92	30	,	,	PUNCT
cana-2482	92	31	which	which	PRON
cana-2482	92	32	often	often	ADV
cana-2482	92	33	develops	develop	VERB
cana-2482	92	34	over	over	ADP
cana-2482	92	35	time	time	NOUN
cana-2482	92	36	.	.	PUNCT
cana-2482	93	1	the	the	DET
cana-2482	93	2	proposed	propose	VERB
cana-2482	93	3	hybrid	hybrid	NOUN
cana-2482	93	4	model	model	NOUN
cana-2482	93	5	gives	give	VERB
cana-2482	93	6	92	92	NUM
cana-2482	93	7	%	%	NOUN
cana-2482	93	8	of	of	ADP
cana-2482	93	9	accuracy	accuracy	NOUN
cana-2482	93	10	,	,	PUNCT
cana-2482	93	11	93.3	93.3	NUM
cana-2482	93	12	%	%	NOUN
cana-2482	93	13	of	of	ADP
cana-2482	93	14	precision	precision	NOUN
cana-2482	93	15	recall	recall	NOUN
cana-2482	93	16	and	and	CCONJ
cana-2482	93	17	f1	f1	PROPN
cana-2482	93	18	score	score	NOUN
cana-2482	93	19	.	.	PUNCT
cana-2482	94	1	acknowledgement	acknowledgement	NOUN
cana-2482	94	2	we	we	PRON
cana-2482	94	3	wish	wish	VERB
cana-2482	94	4	to	to	PART
cana-2482	94	5	acknowledge	acknowledge	VERB
cana-2482	94	6	with	with	ADP
cana-2482	94	7	astounded	astounded	ADJ
cana-2482	94	8	thankfulness	thankfulness	NOUN
cana-2482	94	9	,	,	PUNCT
cana-2482	94	10	the	the	DET
cana-2482	94	11	massive	massive	ADJ
cana-2482	94	12	support	support	NOUN
cana-2482	94	13	and	and	CCONJ
cana-2482	94	14	direction	direction	NOUN
cana-2482	94	15	rendered	render	VERB
cana-2482	94	16	to	to	ADP
cana-2482	94	17	us	we	PRON
cana-2482	94	18	by	by	ADP
cana-2482	94	19	dr	dr	PROPN
cana-2482	94	20	.	.	PROPN
cana-2482	94	21	p.dhanalakshmi	p.dhanalakshmi	PROPN
cana-2482	94	22	,	,	PUNCT
cana-2482	94	23	prof	prof	PROPN
cana-2482	94	24	.	.	PROPN
cana-2482	94	25	,	,	PUNCT
cana-2482	94	26	dept	dept	PROPN
cana-2482	94	27	.	.	PROPN
cana-2482	95	1	of	of	ADP
cana-2482	95	2	cse	cse	PROPN
cana-2482	95	3	,	,	PUNCT
cana-2482	95	4	annamalai	annamalai	PROPN
cana-2482	95	5	university	university	PROPN
cana-2482	95	6	,	,	PUNCT
cana-2482	95	7	tn	tn	PROPN
cana-2482	95	8	,	,	PUNCT
cana-2482	95	9	india	india	PROPN
cana-2482	95	10	.	.	PUNCT
cana-2482	96	1	references	reference	NOUN
cana-2482	96	2	[	[	X
cana-2482	96	3	1	1	NUM
cana-2482	96	4	]	]	PUNCT
cana-2482	96	5	ahmed	ahmed	PROPN
cana-2482	96	6	,	,	PUNCT
cana-2482	96	7	s.	s.	PROPN
cana-2482	96	8	,	,	PUNCT
cana-2482	96	9	khan	khan	PROPN
cana-2482	96	10	,	,	PUNCT
cana-2482	96	11	m.	m.	NOUN
cana-2482	96	12	z.	z.	PROPN
cana-2482	96	13	,	,	PUNCT
cana-2482	96	14	&	&	CCONJ
cana-2482	96	15	ali	ali	PROPN
cana-2482	96	16	,	,	PUNCT
cana-2482	96	17	m.	m.	NOUN
cana-2482	96	18	(	(	PUNCT
cana-2482	96	19	2023	2023	NUM
cana-2482	96	20	)	)	PUNCT
cana-2482	96	21	.	.	PUNCT
cana-2482	97	1	prediction	prediction	NOUN
cana-2482	97	2	of	of	ADP
cana-2482	97	3	cardiovascular	cardiovascular	ADJ
cana-2482	97	4	risk	risk	NOUN
cana-2482	97	5	using	use	VERB
cana-2482	97	6	cnn	cnn	PROPN
cana-2482	97	7	-	-	PUNCT
cana-2482	97	8	lstm	lstm	PROPN
cana-2482	97	9	models	model	NOUN
cana-2482	97	10	integrated	integrate	VERB
cana-2482	97	11	with	with	ADP
cana-2482	97	12	iot	iot	PROPN
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cana-2482	97	14	.	.	PUNCT
cana-2482	98	1	journal	journal	PROPN
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cana-2482	98	3	health	health	NOUN
cana-2482	98	4	monitoring	monitoring	NOUN
cana-2482	98	5	,	,	PUNCT
cana-2482	98	6	15(3	15(3	NUM
cana-2482	98	7	)	)	PUNCT
cana-2482	98	8	,	,	PUNCT
cana-2482	98	9	45	45	NUM
cana-2482	98	10	-	-	SYM
cana-2482	98	11	59	59	NUM
cana-2482	98	12	.	.	PUNCT
cana-2482	99	1	[	[	X
cana-2482	99	2	2	2	NUM
cana-2482	99	3	]	]	X
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cana-2482	99	5	,	,	PUNCT
cana-2482	99	6	m.	m.	NOUN
cana-2482	99	7	a.	a.	PROPN
cana-2482	99	8	,	,	PUNCT
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cana-2482	99	10	s.	s.	PROPN
cana-2482	99	11	,	,	PUNCT
cana-2482	99	12	&	&	CCONJ
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cana-2482	99	14	,	,	PUNCT
cana-2482	99	15	m.	m.	NOUN
cana-2482	99	16	(	(	PUNCT
cana-2482	99	17	2020	2020	NUM
cana-2482	99	18	)	)	PUNCT
cana-2482	99	19	.	.	PUNCT
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cana-2482	100	2	-	-	PUNCT
cana-2482	100	3	based	base	VERB
cana-2482	100	4	prediction	prediction	NOUN
cana-2482	100	5	of	of	ADP
cana-2482	100	6	disease	disease	NOUN
cana-2482	100	7	progression	progression	NOUN
cana-2482	100	8	from	from	ADP
cana-2482	100	9	time	time	NOUN
cana-2482	100	10	-	-	PUNCT
cana-2482	100	11	series	series	NOUN
cana-2482	100	12	health	health	NOUN
cana-2482	100	13	data	data	PROPN
cana-2482	100	14	.	.	PUNCT
cana-2482	101	1	journal	journal	PROPN
cana-2482	101	2	of	of	ADP
cana-2482	101	3	artificial	artificial	ADJ
cana-2482	101	4	intelligence	intelligence	NOUN
cana-2482	101	5	in	in	ADP
cana-2482	101	6	medicine	medicine	NOUN
cana-2482	101	7	,	,	PUNCT
cana-2482	101	8	32(1	32(1	NUM
cana-2482	101	9	)	)	PUNCT
cana-2482	101	10	,	,	PUNCT
cana-2482	101	11	75	75	NUM
cana-2482	101	12	-	-	SYM
cana-2482	101	13	90	90	NUM
cana-2482	101	14	.	.	PUNCT
cana-2482	102	1	[	[	X
cana-2482	102	2	3	3	NUM
cana-2482	102	3	]	]	X
cana-2482	102	4	giri	giri	PROPN
cana-2482	102	5	,	,	PUNCT
cana-2482	102	6	a.	a.	PROPN
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cana-2482	102	8	,	,	PUNCT
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cana-2482	102	10	,	,	PUNCT
cana-2482	102	11	s.	s.	PROPN
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cana-2482	102	13	&	&	CCONJ
cana-2482	102	14	rajput	rajput	PROPN
cana-2482	102	15	,	,	PUNCT
cana-2482	102	16	r.	r.	PROPN
cana-2482	102	17	(	(	PUNCT
cana-2482	102	18	2021	2021	NUM
cana-2482	102	19	)	)	PUNCT
cana-2482	102	20	.	.	PUNCT
cana-2482	103	1	heart	heart	NOUN
cana-2482	103	2	rate	rate	NOUN
cana-2482	103	3	and	and	CCONJ
cana-2482	103	4	blood	blood	NOUN
cana-2482	103	5	pressure	pressure	NOUN
cana-2482	103	6	prediction	prediction	NOUN
cana-2482	103	7	using	use	VERB
cana-2482	103	8	lstm	lstm	ADJ
cana-2482	103	9	networks	network	NOUN
cana-2482	103	10	for	for	ADP
cana-2482	103	11	cardiac	cardiac	ADJ
cana-2482	103	12	event	event	NOUN
cana-2482	103	13	detection	detection	NOUN
cana-2482	103	14	.	.	PUNCT
cana-2482	104	1	health	health	NOUN
cana-2482	104	2	data	data	PROPN
cana-2482	104	3	science	science	NOUN
cana-2482	104	4	,	,	PUNCT
cana-2482	104	5	10(2	10(2	NUM
cana-2482	104	6	)	)	PUNCT
cana-2482	104	7	,	,	PUNCT
cana-2482	104	8	123	123	NUM
cana-2482	104	9	-	-	SYM
cana-2482	104	10	136	136	NUM
cana-2482	104	11	.	.	PUNCT
cana-2482	105	1	[	[	X
cana-2482	105	2	4	4	NUM
cana-2482	105	3	]	]	X
cana-2482	105	4	gupta	gupta	PROPN
cana-2482	105	5	,	,	PUNCT
cana-2482	105	6	a.	a.	NOUN
cana-2482	105	7	,	,	PUNCT
cana-2482	105	8	sharma	sharma	PROPN
cana-2482	105	9	,	,	PUNCT
cana-2482	105	10	r.	r.	PROPN
cana-2482	105	11	,	,	PUNCT
cana-2482	105	12	&	&	CCONJ
cana-2482	105	13	rao	rao	PROPN
cana-2482	105	14	,	,	PUNCT
cana-2482	105	15	s.	s.	PROPN
cana-2482	105	16	(	(	PUNCT
cana-2482	105	17	2020	2020	NUM
cana-2482	105	18	)	)	PUNCT
cana-2482	105	19	.	.	PUNCT
cana-2482	106	1	clothing	clothing	NOUN
cana-2482	106	2	profiling	profiling	NOUN
cana-2482	106	3	and	and	CCONJ
cana-2482	106	4	cardiovascular	cardiovascular	ADJ
cana-2482	106	5	risk	risk	NOUN
cana-2482	106	6	assessment	assessment	NOUN
cana-2482	106	7	using	use	VERB
cana-2482	106	8	cnn	cnn	PROPN
cana-2482	106	9	-	-	PUNCT
cana-2482	106	10	based	base	VERB
cana-2482	106	11	models	model	NOUN
cana-2482	106	12	.	.	PUNCT
cana-2482	107	1	international	international	ADJ
cana-2482	107	2	journal	journal	PROPN
cana-2482	107	3	of	of	ADP
cana-2482	107	4	health	health	PROPN
cana-2482	107	5	technology	technology	NOUN
cana-2482	107	6	,	,	PUNCT
cana-2482	107	7	14(4	14(4	NUM
cana-2482	107	8	)	)	PUNCT
cana-2482	107	9	,	,	PUNCT
cana-2482	107	10	232	232	NUM
cana-2482	107	11	-	-	SYM
cana-2482	107	12	244	244	NUM
cana-2482	107	13	.	.	PUNCT
cana-2482	108	1	[	[	X
cana-2482	108	2	5	5	NUM
cana-2482	108	3	]	]	X
cana-2482	108	4	khan	khan	PROPN
cana-2482	108	5	,	,	PUNCT
cana-2482	108	6	a.	a.	NOUN
cana-2482	108	7	a.	a.	PROPN
cana-2482	108	8	,	,	PUNCT
cana-2482	108	9	zubair	zubair	PROPN
cana-2482	108	10	,	,	PUNCT
cana-2482	108	11	m.	m.	NOUN
cana-2482	108	12	,	,	PUNCT
cana-2482	108	13	&	&	CCONJ
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cana-2482	108	15	,	,	PUNCT
cana-2482	108	16	i.	i.	NOUN
cana-2482	108	17	(	(	PUNCT
cana-2482	108	18	2021	2021	NUM
cana-2482	108	19	)	)	PUNCT
cana-2482	108	20	.	.	PUNCT
cana-2482	109	1	cnn	cnn	PROPN
cana-2482	109	2	-	-	PUNCT
cana-2482	109	3	lstm	lstm	ADJ
cana-2482	109	4	hybrid	hybrid	NOUN
cana-2482	109	5	model	model	NOUN
cana-2482	109	6	for	for	ADP
cana-2482	109	7	type	type	NOUN
cana-2482	109	8	2	2	NUM
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cana-2482	109	10	prediction	prediction	NOUN
cana-2482	109	11	using	use	VERB
cana-2482	109	12	continuous	continuous	ADJ
cana-2482	109	13	glucose	glucose	NOUN
cana-2482	109	14	monitoring	monitor	VERB
cana-2482	109	15	data	datum	NOUN
cana-2482	109	16	.	.	PUNCT
cana-2482	110	1	journal	journal	PROPN
cana-2482	110	2	of	of	ADP
cana-2482	110	3	medical	medical	ADJ
cana-2482	110	4	informatics	informatic	NOUN
cana-2482	110	5	,	,	PUNCT
cana-2482	110	6	28(5	28(5	NUM
cana-2482	110	7	)	)	PUNCT
cana-2482	110	8	,	,	PUNCT
cana-2482	110	9	498	498	NUM
cana-2482	110	10	-	-	SYM
cana-2482	110	11	510	510	NUM
cana-2482	110	12	.	.	PUNCT
cana-2482	111	1	[	[	X
cana-2482	111	2	6	6	NUM
cana-2482	111	3	]	]	SYM
cana-2482	111	4	li	li	PROPN
cana-2482	111	5	,	,	PUNCT
cana-2482	111	6	y.	y.	PROPN
cana-2482	111	7	,	,	PUNCT
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cana-2482	111	9	,	,	PUNCT
cana-2482	111	10	h.	h.	PROPN
cana-2482	111	11	,	,	PUNCT
cana-2482	111	12	&	&	CCONJ
cana-2482	111	13	zhao	zhao	PROPN
cana-2482	111	14	,	,	PUNCT
cana-2482	111	15	q.	q.	PROPN
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cana-2482	111	18	)	)	PUNCT
cana-2482	111	19	.	.	PUNCT
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cana-2482	112	4	cardiovascular	cardiovascular	ADJ
cana-2482	112	5	health	health	NOUN
cana-2482	112	6	monitoring	monitoring	NOUN
cana-2482	112	7	using	use	VERB
cana-2482	112	8	wearable	wearable	ADJ
cana-2482	112	9	devices	device	NOUN
cana-2482	112	10	.	.	PUNCT
cana-2482	113	1	journal	journal	PROPN
cana-2482	113	2	of	of	ADP
cana-2482	113	3	internet	internet	NOUN
cana-2482	113	4	of	of	ADP
cana-2482	113	5	things	thing	NOUN
cana-2482	113	6	in	in	ADP
cana-2482	113	7	medicine	medicine	NOUN
cana-2482	113	8	,	,	PUNCT
cana-2482	113	9	7(1	7(1	NUM
cana-2482	113	10	)	)	PUNCT
cana-2482	113	11	,	,	PUNCT
cana-2482	113	12	56	56	NUM
cana-2482	113	13	-	-	SYM
cana-2482	113	14	67	67	NUM
cana-2482	113	15	.	.	PUNCT
cana-2482	114	1	[	[	X
cana-2482	114	2	7	7	X
cana-2482	114	3	]	]	SYM
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cana-2482	114	9	,	,	PUNCT
cana-2482	114	10	q.	q.	PROPN
cana-2482	114	11	,	,	PUNCT
cana-2482	114	12	&	&	CCONJ
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cana-2482	114	14	,	,	PUNCT
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cana-2482	114	16	(	(	PUNCT
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cana-2482	114	18	)	)	PUNCT
cana-2482	114	19	.	.	PUNCT
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cana-2482	115	6	disease	disease	NOUN
cana-2482	115	7	prediction	prediction	NOUN
cana-2482	115	8	using	use	VERB
cana-2482	115	9	convolutional	convolutional	ADJ
cana-2482	115	10	neural	neural	ADJ
cana-2482	115	11	networks	network	NOUN
cana-2482	115	12	.	.	PUNCT
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cana-2482	116	2	journal	journal	PROPN
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cana-2482	116	4	biomedical	biomedical	ADJ
cana-2482	116	5	engineering	engineering	NOUN
cana-2482	116	6	,	,	PUNCT
cana-2482	116	7	21(3	21(3	NUM
cana-2482	116	8	)	)	PUNCT
cana-2482	116	9	,	,	PUNCT
cana-2482	116	10	34	34	NUM
cana-2482	116	11	-	-	SYM
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cana-2482	116	13	.	.	PUNCT
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cana-2482	117	3	]	]	X
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cana-2482	117	19	.	.	PUNCT
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cana-2482	118	2	-	-	PUNCT
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cana-2482	118	4	monitoring	monitoring	NOUN
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cana-2482	118	7	abnormal	abnormal	ADJ
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cana-2482	118	9	pressure	pressure	NOUN
cana-2482	118	10	detection	detection	NOUN
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cana-2482	118	14	.	.	PUNCT
cana-2482	119	1	journal	journal	PROPN
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cana-2482	119	5	,	,	PUNCT
cana-2482	119	6	13(2	13(2	PROPN
cana-2482	119	7	)	)	PUNCT
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cana-2482	119	10	-	-	SYM
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cana-2482	120	18	)	)	PUNCT
cana-2482	120	19	.	.	PUNCT
cana-2482	121	1	a	a	DET
cana-2482	121	2	hybrid	hybrid	ADJ
cana-2482	121	3	cnn	cnn	PROPN
cana-2482	121	4	-	-	PUNCT
cana-2482	121	5	lstm	lstm	PROPN
cana-2482	121	6	model	model	NOUN
cana-2482	121	7	for	for	ADP
cana-2482	121	8	the	the	DET
cana-2482	121	9	prediction	prediction	NOUN
cana-2482	121	10	of	of	ADP
cana-2482	121	11	renovascular	renovascular	ADJ
cana-2482	121	12	hypertension	hypertension	NOUN
cana-2482	121	13	using	use	VERB
cana-2482	121	14	continuous	continuous	ADJ
cana-2482	121	15	iot	iot	ADJ
cana-2482	121	16	device	device	NOUN
cana-2482	121	17	data	datum	NOUN
cana-2482	121	18	.	.	PUNCT
cana-2482	122	1	journal	journal	PROPN
cana-2482	122	2	of	of	ADP
cana-2482	122	3	health	health	NOUN
cana-2482	122	4	and	and	CCONJ
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cana-2482	122	6	,	,	PUNCT
cana-2482	122	7	19(4	19(4	PROPN
cana-2482	122	8	)	)	PUNCT
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cana-2482	122	11	-	-	SYM
cana-2482	122	12	210	210	NUM
cana-2482	122	13	.	.	PUNCT
cana-2482	123	1	[	[	X
cana-2482	123	2	10	10	NUM
cana-2482	123	3	]	]	X
cana-2482	123	4	j.	j.	PROPN
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cana-2482	123	12	“	"	PUNCT
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cana-2482	123	14	natriuresis	natriuresis	NOUN
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cana-2482	123	16	the	the	DET
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cana-2482	123	18	control	control	NOUN
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cana-2482	123	22	pressure	pressure	NOUN
cana-2482	123	23	,	,	PUNCT
cana-2482	123	24	”	"	PUNCT
cana-2482	123	25	the	the	DET
cana-2482	123	26	journal	journal	NOUN
cana-2482	123	27	of	of	ADP
cana-2482	123	28	physiology	physiology	NOUN
cana-2482	123	29	,	,	PUNCT
cana-2482	123	30	vol	vol	NOUN
cana-2482	123	31	.	.	PUNCT
cana-2482	124	1	592	592	NUM
cana-2482	124	2	,	,	PUNCT
cana-2482	124	3	no	no	INTJ
cana-2482	124	4	.	.	NOUN
cana-2482	124	5	18	18	NUM
cana-2482	124	6	,	,	PUNCT
cana-2482	124	7	pp	pp	ADJ
cana-2482	124	8	.	.	PUNCT
cana-2482	125	1	3955–3967	3955–3967	NUM
cana-2482	125	2	,	,	PUNCT
cana-2482	125	3	2014	2014	NUM
cana-2482	125	4	.	.	PUNCT
cana-2482	126	1	[	[	X
cana-2482	126	2	11	11	NUM
cana-2482	126	3	]	]	PUNCT
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cana-2482	126	8	m.	m.	NOUN
cana-2482	126	9	t.	t.	PROPN
cana-2482	126	10	cahill	cahill	PROPN
cana-2482	126	11	,	,	PUNCT
cana-2482	126	12	and	and	CCONJ
cana-2482	126	13	j.	j.	PROPN
cana-2482	126	14	s.	s.	PROPN
cana-2482	126	15	wong	wong	PROPN
cana-2482	126	16	,	,	PUNCT
cana-2482	126	17	“	"	PUNCT
cana-2482	126	18	systemic	systemic	ADJ
cana-2482	126	19	considerations	consideration	NOUN
cana-2482	126	20	in	in	ADP
cana-2482	126	21	the	the	DET
cana-2482	126	22	management	management	NOUN
cana-2482	126	23	of	of	ADP
cana-2482	126	24	diabetic	diabetic	ADJ
cana-2482	126	25	retinopathy	retinopathy	NOUN
cana-2482	126	26	,	,	PUNCT
cana-2482	126	27	”	"	PUNCT
cana-2482	126	28	american	american	ADJ
cana-2482	126	29	journal	journal	PROPN
cana-2482	126	30	of	of	ADP
cana-2482	126	31	ophthalmology	ophthalmology	NOUN
cana-2482	126	32	,	,	PUNCT
cana-2482	126	33	vol	vol	NOUN
cana-2482	126	34	.	.	PROPN
cana-2482	126	35	132	132	NUM
cana-2482	126	36	,	,	PUNCT
cana-2482	126	37	no	no	INTJ
cana-2482	126	38	.	.	NOUN
cana-2482	126	39	5	5	NUM
cana-2482	126	40	,	,	PUNCT
cana-2482	126	41	pp	pp	ADJ
cana-2482	126	42	.	.	PUNCT
cana-2482	127	1	760–776	760–776	NUM
cana-2482	127	2	,	,	PUNCT
cana-2482	127	3	2001	2001	NUM
cana-2482	127	4	.	.	PUNCT
cana-2482	128	1	[	[	X
cana-2482	128	2	12	12	NUM
cana-2482	128	3	]	]	X
cana-2482	128	4	g.	g.	PROPN
cana-2482	128	5	f.	f.	PROPN
cana-2482	128	6	silva	silva	PROPN
cana-2482	128	7	,	,	PUNCT
cana-2482	128	8	t.	t.	PROPN
cana-2482	128	9	p.	p.	PROPN
cana-2482	128	10	fagundes	fagundes	PROPN
cana-2482	128	11	,	,	PUNCT
cana-2482	128	12	b.	b.	PROPN
cana-2482	128	13	c.	c.	PROPN
cana-2482	128	14	teixeira	teixeira	PROPN
cana-2482	128	15	,	,	PUNCT
cana-2482	128	16	and	and	CCONJ
cana-2482	128	17	a.	a.	PROPN
cana-2482	128	18	d.	d.	PROPN
cana-2482	128	19	chiavegatto	chiavegatto	PROPN
cana-2482	128	20	filho	filho	PROPN
cana-2482	128	21	,	,	PUNCT
cana-2482	128	22	“	"	PUNCT
cana-2482	128	23	machine	machine	NOUN
cana-2482	128	24	learning	learning	NOUN
cana-2482	128	25	for	for	ADP
cana-2482	128	26	hypertension	hypertension	NOUN
cana-2482	128	27	prediction	prediction	NOUN
cana-2482	128	28	:	:	PUNCT
cana-2482	128	29	a	a	DET
cana-2482	128	30	systematic	systematic	ADJ
cana-2482	128	31	review	review	NOUN
cana-2482	128	32	,	,	PUNCT
cana-2482	128	33	”	"	PUNCT
cana-2482	128	34	current	current	ADJ
cana-2482	128	35	hypertension	hypertension	NOUN
cana-2482	128	36	reports	report	NOUN
cana-2482	128	37	,	,	PUNCT
cana-2482	128	38	vol	vol	NOUN
cana-2482	128	39	.	.	PROPN
cana-2482	129	1	24	24	NUM
cana-2482	129	2	,	,	PUNCT
cana-2482	129	3	no	no	INTJ
cana-2482	129	4	.	.	NOUN
cana-2482	129	5	11	11	NUM
cana-2482	129	6	,	,	PUNCT
cana-2482	129	7	pp	pp	ADJ
cana-2482	129	8	.	.	PUNCT
cana-2482	130	1	523–533	523–533	NUM
cana-2482	130	2	,	,	PUNCT
cana-2482	130	3	2022	2022	NUM
cana-2482	130	4	.	.	PUNCT
cana-2482	131	1	[	[	X
cana-2482	131	2	13	13	NUM
cana-2482	131	3	]	]	X
cana-2482	131	4	d.	d.	PROPN
cana-2482	131	5	lafreniere	lafreniere	ADV
cana-2482	131	6	,	,	PUNCT
cana-2482	131	7	f.	f.	PROPN
cana-2482	131	8	zulkernine	zulkernine	PROPN
cana-2482	131	9	,	,	PUNCT
cana-2482	131	10	d.	d.	PROPN
cana-2482	131	11	barber	barber	PROPN
cana-2482	131	12	,	,	PUNCT
cana-2482	131	13	and	and	CCONJ
cana-2482	131	14	k.	k.	PROPN
cana-2482	131	15	martin	martin	PROPN
cana-2482	131	16	,	,	PUNCT
cana-2482	131	17	“	"	PUNCT
cana-2482	131	18	using	use	VERB
cana-2482	131	19	machine	machine	NOUN
cana-2482	131	20	learning	learn	VERB
cana-2482	131	21	to	to	PART
cana-2482	131	22	predict	predict	VERB
cana-2482	131	23	hypertension	hypertension	NOUN
cana-2482	131	24	from	from	ADP
cana-2482	131	25	a	a	DET
cana-2482	131	26	clinical	clinical	ADJ
cana-2482	131	27	dataset	dataset	NOUN
cana-2482	131	28	,	,	PUNCT
cana-2482	131	29	”	"	PUNCT
cana-2482	131	30	in	in	ADP
cana-2482	131	31	2016	2016	NUM
cana-2482	131	32	ieee	ieee	NOUN
cana-2482	131	33	symposium	symposium	NOUN
cana-2482	131	34	series	series	NOUN
cana-2482	131	35	on	on	ADP
cana-2482	131	36	computational	computational	ADJ
cana-2482	131	37	intelligence	intelligence	NOUN
cana-2482	131	38	(	(	PUNCT
cana-2482	131	39	ssci	ssci	PROPN
cana-2482	131	40	)	)	PUNCT
cana-2482	131	41	,	,	PUNCT
cana-2482	131	42	pp	pp	PROPN
cana-2482	131	43	.	.	PUNCT
cana-2482	132	1	1–7	1–7	NUM
cana-2482	132	2	,	,	PUNCT
cana-2482	132	3	ieee	ieee	NOUN
cana-2482	132	4	,	,	PUNCT
cana-2482	132	5	2016	2016	NUM
cana-2482	132	6	.	.	PUNCT
cana-2482	133	1	[	[	X
cana-2482	133	2	14	14	NUM
cana-2482	133	3	]	]	X
cana-2482	133	4	s.	s.	PROPN
cana-2482	133	5	ali	ali	PROPN
cana-2482	133	6	,	,	PUNCT
cana-2482	133	7	a.	a.	PROPN
cana-2482	133	8	hashmi	hashmi	PROPN
cana-2482	133	9	,	,	PUNCT
cana-2482	133	10	a.	a.	PROPN
cana-2482	133	11	hamza	hamza	PROPN
cana-2482	133	12	,	,	PUNCT
cana-2482	133	13	u.	u.	PROPN
cana-2482	133	14	hayat	hayat	PROPN
cana-2482	133	15	,	,	PUNCT
cana-2482	133	16	and	and	CCONJ
cana-2482	133	17	h.	h.	PROPN
cana-2482	133	18	younis	younis	PROPN
cana-2482	133	19	,	,	PUNCT
cana-2482	133	20	“	"	PUNCT
cana-2482	133	21	dynamic	dynamic	ADJ
cana-2482	133	22	and	and	CCONJ
cana-2482	133	23	static	static	ADJ
cana-2482	133	24	handwriting	handwriting	NOUN
cana-2482	133	25	assessment	assessment	NOUN
cana-2482	133	26	in	in	ADP
cana-2482	133	27	parkinson	parkinson	NOUN
cana-2482	133	28	’s	’s	PART
cana-2482	133	29	disease	disease	NOUN
cana-2482	133	30	:	:	PUNCT
cana-2482	133	31	a	a	DET
cana-2482	133	32	synergistic	synergistic	ADJ
cana-2482	133	33	approach	approach	NOUN
cana-2482	133	34	with	with	ADP
cana-2482	133	35	c	c	NOUN
cana-2482	133	36	-	-	PUNCT
cana-2482	133	37	bi	bi	NOUN
cana-2482	133	38	-	-	NOUN
cana-2482	133	39	gru	gru	NOUN
cana-2482	133	40	and	and	CCONJ
cana-2482	133	41	vgg19	vgg19	PROPN
cana-2482	133	42	,	,	PUNCT
cana-2482	133	43	”	"	PUNCT
cana-2482	133	44	journal	journal	NOUN
cana-2482	133	45	of	of	ADP
cana-2482	133	46	computing	computing	NOUN
cana-2482	133	47	theories	theory	NOUN
cana-2482	133	48	and	and	CCONJ
cana-2482	133	49	applications	application	NOUN
cana-2482	133	50	,	,	PUNCT
cana-2482	133	51	vol	vol	NOUN
cana-2482	133	52	.	.	PROPN
cana-2482	133	53	1	1	NUM
cana-2482	133	54	,	,	PUNCT
cana-2482	133	55	no	no	INTJ
cana-2482	133	56	.	.	NOUN
cana-2482	133	57	2	2	NUM
cana-2482	133	58	,	,	PUNCT
cana-2482	133	59	pp	pp	ADJ
cana-2482	133	60	.	.	PUNCT
cana-2482	134	1	151–162	151–162	NUM
cana-2482	134	2	,	,	PUNCT
cana-2482	134	3	2023	2023	NUM
cana-2482	134	4	.	.	PUNCT
cana-2482	135	1	[	[	X
cana-2482	135	2	15	15	NUM
cana-2482	135	3	]	]	X
cana-2482	135	4	j.	j.	PROPN
cana-2482	135	5	r.	r.	PROPN
cana-2482	135	6	sutton	sutton	PROPN
cana-2482	135	7	,	,	PUNCT
cana-2482	135	8	r.	r.	PROPN
cana-2482	135	9	mahajan	mahajan	PROPN
cana-2482	135	10	,	,	PUNCT
cana-2482	135	11	o.	o.	PROPN
cana-2482	135	12	akbilgic	akbilgic	PROPN
cana-2482	135	13	,	,	PUNCT
cana-2482	135	14	and	and	CCONJ
cana-2482	135	15	r.	r.	PROPN
cana-2482	135	16	kamaleswaran	kamaleswaran	PROPN
cana-2482	135	17	,	,	PUNCT
cana-2482	135	18	“	"	PUNCT
cana-2482	135	19	physonline	physonline	NOUN
cana-2482	135	20	:	:	PUNCT
cana-2482	135	21	an	an	DET
cana-2482	135	22	open	open	ADJ
cana-2482	135	23	source	source	NOUN
cana-2482	135	24	machine	machine	NOUN
cana-2482	135	25	learning	learn	VERB
cana-2482	135	26	pipeline	pipeline	NOUN
cana-2482	135	27	for	for	ADP
cana-2482	135	28	real	real	ADJ
cana-2482	135	29	-	-	PUNCT
cana-2482	135	30	time	time	NOUN
cana-2482	135	31	analysis	analysis	NOUN
cana-2482	135	32	of	of	ADP
cana-2482	135	33	streaming	stream	VERB
cana-2482	135	34	physiological	physiological	ADJ
cana-2482	135	35	waveform	waveform	NOUN
cana-2482	135	36	,	,	PUNCT
cana-2482	135	37	”	"	PUNCT
cana-2482	135	38	ieee	ieee	NOUN
cana-2482	135	39	journal	journal	NOUN
cana-2482	135	40	of	of	ADP
cana-2482	135	41	biomedical	biomedical	ADJ
cana-2482	135	42	and	and	CCONJ
cana-2482	135	43	health	health	NOUN
cana-2482	135	44	informatics	informatic	NOUN
cana-2482	135	45	,	,	PUNCT
cana-2482	135	46	vol	vol	NOUN
cana-2482	135	47	.	.	PROPN
cana-2482	135	48	23	23	NUM
cana-2482	135	49	,	,	PUNCT
cana-2482	135	50	no	no	INTJ
cana-2482	135	51	.	.	NOUN
cana-2482	135	52	1	1	NUM
cana-2482	135	53	,	,	PUNCT
cana-2482	135	54	pp	pp	ADJ
cana-2482	135	55	.	.	PUNCT
cana-2482	136	1	59–65	59–65	NUM
cana-2482	136	2	,	,	PUNCT
cana-2482	136	3	2018	2018	NUM
cana-2482	136	4	.	.	PUNCT