id	sid	tid	token	lemma	pos
cana-2947	1	1	communications	communication	NOUN
cana-2947	1	2	on	on	ADP
cana-2947	1	3	applied	apply	VERB
cana-2947	1	4	nonlinear	nonlinear	ADJ
cana-2947	1	5	analysis	analysis	NOUN
cana-2947	1	6	issn	issn	NOUN
cana-2947	1	7	:	:	PUNCT
cana-2947	1	8	1074	1074	NUM
cana-2947	1	9	-	-	PUNCT
cana-2947	1	10	133x	133x	NUM
cana-2947	1	11	vol	vol	NOUN
cana-2947	1	12	32	32	NUM
cana-2947	1	13	no	no	NOUN
cana-2947	1	14	.	.	PUNCT
cana-2947	2	1	5s	5s	NUM
cana-2947	2	2	(	(	PUNCT
cana-2947	2	3	2025	2025	NUM
cana-2947	2	4	)	)	PUNCT
cana-2947	2	5	51	51	NUM
cana-2947	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	2	7	a	a	DET
cana-2947	2	8	cloud	cloud	NOUN
cana-2947	2	9	-	-	PUNCT
cana-2947	2	10	enabled	enable	VERB
cana-2947	2	11	iot	iot	NOUN
cana-2947	2	12	framework	framework	NOUN
cana-2947	2	13	for	for	ADP
cana-2947	2	14	liver	liver	NOUN
cana-2947	2	15	disease	disease	NOUN
cana-2947	2	16	detection	detection	NOUN
cana-2947	2	17	using	use	VERB
cana-2947	2	18	ml	ml	NOUN
cana-2947	2	19	and	and	CCONJ
cana-2947	2	20	embedded	embed	VERB
cana-2947	2	21	electronics	electronics	PROPN
cana-2947	2	22	dr	dr	PROPN
cana-2947	2	23	brajesh	brajesh	PROPN
cana-2947	2	24	kumar	kumar	PROPN
cana-2947	2	25	singh1	singh1	PROPN
cana-2947	2	26	,	,	PUNCT
cana-2947	2	27	mallareddy	mallareddy	ADJ
cana-2947	2	28	adudhodla2	adudhodla2	PROPN
cana-2947	2	29	,	,	PUNCT
cana-2947	2	30	dr	dr	PROPN
cana-2947	2	31	.	.	PROPN
cana-2947	2	32	vijit	vijit	PROPN
cana-2947	2	33	srivastava3	srivastava3	PROPN
cana-2947	2	34	,	,	PUNCT
cana-2947	2	35	dr	dr	PROPN
cana-2947	2	36	ajay	ajay	PROPN
cana-2947	2	37	tiwari4	tiwari4	PROPN
cana-2947	2	38	,	,	PUNCT
cana-2947	2	39	gauri	gauri	PROPN
cana-2947	2	40	ghule5	ghule5	PROPN
cana-2947	2	41	,	,	PUNCT
cana-2947	2	42	j.s.s.l	j.s.s.l	PROPN
cana-2947	2	43	.	.	PUNCT
cana-2947	2	44	bharani6	bharani6	NOUN
cana-2947	2	45	,	,	PUNCT
cana-2947	2	46	r.menaka7	r.menaka7	VERB
cana-2947	2	47	1associate	1associate	NUM
cana-2947	2	48	professor	professor	NOUN
cana-2947	2	49	,	,	PUNCT
cana-2947	2	50	electronics	electronic	NOUN
cana-2947	2	51	and	and	CCONJ
cana-2947	2	52	communication	communication	NOUN
cana-2947	2	53	engineering	engineering	NOUN
cana-2947	2	54	,	,	PUNCT
cana-2947	2	55	galgotia	galgotia	NOUN
cana-2947	2	56	college	college	NOUN
cana-2947	2	57	of	of	ADP
cana-2947	2	58	engineering	engineering	NOUN
cana-2947	2	59	and	and	CCONJ
cana-2947	2	60	technology	technology	NOUN
cana-2947	2	61	,	,	PUNCT
cana-2947	2	62	brajeshsingh.dce@gmail.com	brajeshsingh.dce@gmail.com	NOUN
cana-2947	3	1	2professor	2professor	NUM
cana-2947	3	2	,	,	PUNCT
cana-2947	3	3	it	it	PRON
cana-2947	3	4	department	department	NOUN
cana-2947	3	5	,	,	PUNCT
cana-2947	3	6	cvr	cvr	NOUN
cana-2947	3	7	college	college	NOUN
cana-2947	3	8	of	of	ADP
cana-2947	3	9	engineering	engineering	NOUN
cana-2947	3	10	,	,	PUNCT
cana-2947	3	11	mallareddyadudhodla@gmail.com	mallareddyadudhodla@gmail.com	X
cana-2947	3	12	3assistant	3assistant	NUM
cana-2947	3	13	professor	professor	NOUN
cana-2947	3	14	,	,	PUNCT
cana-2947	3	15	electronics	electronic	NOUN
cana-2947	3	16	&	&	CCONJ
cana-2947	3	17	communication	communication	NOUN
cana-2947	3	18	,	,	PUNCT
cana-2947	3	19	united	united	PROPN
cana-2947	3	20	college	college	PROPN
cana-2947	3	21	of	of	ADP
cana-2947	3	22	engineering	engineering	NOUN
cana-2947	3	23	and	and	CCONJ
cana-2947	3	24	research	research	NOUN
cana-2947	3	25	prayagraj	prayagraj	ADJ
cana-2947	3	26	,	,	PUNCT
cana-2947	3	27	vijitsrivastava@united.ac.in	vijitsrivastava@united.ac.in	PROPN
cana-2947	3	28	4assistant	4assistant	NUM
cana-2947	3	29	professor	professor	NOUN
cana-2947	3	30	,	,	PUNCT
cana-2947	3	31	department	department	NOUN
cana-2947	3	32	of	of	ADP
cana-2947	3	33	electronics	electronic	NOUN
cana-2947	3	34	and	and	CCONJ
cana-2947	3	35	communication	communication	NOUN
cana-2947	3	36	engineering	engineering	NOUN
cana-2947	3	37	,	,	PUNCT
cana-2947	3	38	u.i.e.t	u.i.e.t	PROPN
cana-2947	3	39	.	.	PROPN
cana-2947	3	40	chhatrapati	chhatrapati	PROPN
cana-2947	3	41	shahu	shahu	PROPN
cana-2947	3	42	ji	ji	PROPN
cana-2947	3	43	maharaj	maharaj	PROPN
cana-2947	3	44	university	university	PROPN
cana-2947	3	45	,	,	PUNCT
cana-2947	3	46	kanpur	kanpur	PROPN
cana-2947	3	47	,	,	PUNCT
cana-2947	3	48	ajaytiwari@csjmu.ac.in	ajaytiwari@csjmu.ac.in	ADV
cana-2947	3	49	5assistant	5assistant	NUM
cana-2947	3	50	professor	professor	NOUN
cana-2947	3	51	,	,	PUNCT
cana-2947	3	52	e	e	NOUN
cana-2947	3	53	and	and	CCONJ
cana-2947	3	54	tc	tc	PROPN
cana-2947	3	55	dept	dept	NOUN
cana-2947	3	56	,	,	PUNCT
cana-2947	3	57	vishwakarma	vishwakarma	PROPN
cana-2947	3	58	institute	institute	PROPN
cana-2947	3	59	of	of	ADP
cana-2947	3	60	information	information	NOUN
cana-2947	3	61	technology	technology	NOUN
cana-2947	3	62	,	,	PUNCT
cana-2947	3	63	pune	pune	NOUN
cana-2947	3	64	gauri.ghule@viit.ac.in	gauri.ghule@viit.ac.in	PUNCT
cana-2947	3	65	6assistant	6assistant	NUM
cana-2947	3	66	professor	professor	NOUN
cana-2947	3	67	,	,	PUNCT
cana-2947	3	68	department	department	NOUN
cana-2947	3	69	of	of	ADP
cana-2947	3	70	eee	eee	PROPN
cana-2947	3	71	,	,	PUNCT
cana-2947	3	72	s.r.k.r	s.r.k.r	PROPN
cana-2947	3	73	.	.	PROPN
cana-2947	3	74	engineering	engineering	NOUN
cana-2947	3	75	college	college	PROPN
cana-2947	3	76	,	,	PUNCT
cana-2947	3	77	china	china	PROPN
cana-2947	3	78	amiram	amiram	PROPN
cana-2947	3	79	,	,	PUNCT
cana-2947	3	80	bhimavaram-534204	bhimavaram-534204	NOUN
cana-2947	3	81	,	,	PUNCT
cana-2947	3	82	andhra	andhra	PROPN
cana-2947	3	83	pradesh	pradesh	PROPN
cana-2947	3	84	,	,	PUNCT
cana-2947	3	85	india	india	PROPN
cana-2947	3	86	.	.	PUNCT
cana-2947	4	1	sslbharani@gmail.com	sslbharani@gmail.com	X
cana-2947	5	1	7assistant	7assistant	NUM
cana-2947	5	2	professor	professor	NOUN
cana-2947	5	3	,	,	PUNCT
cana-2947	5	4	department	department	NOUN
cana-2947	5	5	of	of	ADP
cana-2947	5	6	it	it	PRON
cana-2947	5	7	,	,	PUNCT
cana-2947	5	8	velalar	velalar	ADJ
cana-2947	5	9	college	college	NOUN
cana-2947	5	10	of	of	ADP
cana-2947	5	11	engineering	engineering	NOUN
cana-2947	5	12	and	and	CCONJ
cana-2947	5	13	technology	technology	NOUN
cana-2947	5	14	,	,	PUNCT
cana-2947	5	15	erode	erode	VERB
cana-2947	5	16	.	.	PUNCT
cana-2947	6	1	menaka.murugesan@gmail.com	menaka.murugesan@gmail.com	X
cana-2947	6	2	2corresponding	2corresponding	NUM
cana-2947	6	3	author	author	NOUN
cana-2947	6	4	mail	mail	NOUN
cana-2947	6	5	:	:	PUNCT
cana-2947	6	6	mallareddyadudhodla@gmail.com	mallareddyadudhodla@gmail.com	X
cana-2947	6	7	article	article	NOUN
cana-2947	6	8	history	history	NOUN
cana-2947	6	9	:	:	PUNCT
cana-2947	6	10	received	receive	VERB
cana-2947	6	11	:	:	PUNCT
cana-2947	6	12	02	02	NUM
cana-2947	6	13	-	-	SYM
cana-2947	6	14	10	10	NUM
cana-2947	6	15	-	-	PUNCT
cana-2947	6	16	2024	2024	NUM
cana-2947	6	17	revised	revise	VERB
cana-2947	6	18	:	:	PUNCT
cana-2947	6	19	22	22	NUM
cana-2947	6	20	-	-	SYM
cana-2947	6	21	11	11	NUM
cana-2947	6	22	-	-	PUNCT
cana-2947	6	23	2024	2024	NUM
cana-2947	6	24	accepted	accept	VERB
cana-2947	6	25	:	:	PUNCT
cana-2947	6	26	02	02	NUM
cana-2947	6	27	-	-	SYM
cana-2947	6	28	12	12	NUM
cana-2947	6	29	-	-	PUNCT
cana-2947	6	30	2024	2024	NUM
cana-2947	6	31	abstract	abstract	NOUN
cana-2947	6	32	:	:	PUNCT
cana-2947	6	33	the	the	DET
cana-2947	6	34	increasing	increase	VERB
cana-2947	6	35	prevalence	prevalence	NOUN
cana-2947	6	36	of	of	ADP
cana-2947	6	37	liver	liver	NOUN
cana-2947	6	38	diseases	disease	NOUN
cana-2947	6	39	worldwide	worldwide	ADV
cana-2947	6	40	necessitates	necessitate	VERB
cana-2947	6	41	innovative	innovative	ADJ
cana-2947	6	42	and	and	CCONJ
cana-2947	6	43	efficient	efficient	ADJ
cana-2947	6	44	diagnostic	diagnostic	ADJ
cana-2947	6	45	approaches	approach	NOUN
cana-2947	6	46	.	.	PUNCT
cana-2947	7	1	this	this	DET
cana-2947	7	2	study	study	NOUN
cana-2947	7	3	presents	present	VERB
cana-2947	7	4	a	a	DET
cana-2947	7	5	cloud	cloud	NOUN
cana-2947	7	6	-	-	PUNCT
cana-2947	7	7	enabled	enable	VERB
cana-2947	7	8	internet	internet	NOUN
cana-2947	7	9	of	of	ADP
cana-2947	7	10	things	thing	NOUN
cana-2947	7	11	(	(	PUNCT
cana-2947	7	12	iot	iot	NOUN
cana-2947	7	13	)	)	PUNCT
cana-2947	7	14	framework	framework	NOUN
cana-2947	7	15	integrating	integrate	VERB
cana-2947	7	16	machine	machine	NOUN
cana-2947	7	17	learning	learning	NOUN
cana-2947	7	18	(	(	PUNCT
cana-2947	7	19	ml	ml	NOUN
cana-2947	7	20	)	)	PUNCT
cana-2947	7	21	algorithms	algorithm	NOUN
cana-2947	7	22	and	and	CCONJ
cana-2947	7	23	embedded	embed	VERB
cana-2947	7	24	electronics	electronic	NOUN
cana-2947	7	25	for	for	ADP
cana-2947	7	26	realtime	realtime	ADJ
cana-2947	7	27	liver	liver	NOUN
cana-2947	7	28	disease	disease	NOUN
cana-2947	7	29	detection	detection	NOUN
cana-2947	7	30	.	.	PUNCT
cana-2947	8	1	the	the	DET
cana-2947	8	2	framework	framework	NOUN
cana-2947	8	3	combines	combine	VERB
cana-2947	8	4	wearable	wearable	ADJ
cana-2947	8	5	sensors	sensor	NOUN
cana-2947	8	6	and	and	CCONJ
cana-2947	8	7	embedded	embed	VERB
cana-2947	8	8	devices	device	NOUN
cana-2947	8	9	to	to	PART
cana-2947	8	10	collect	collect	VERB
cana-2947	8	11	vital	vital	ADJ
cana-2947	8	12	physiological	physiological	ADJ
cana-2947	8	13	data	datum	NOUN
cana-2947	8	14	,	,	PUNCT
cana-2947	8	15	including	include	VERB
cana-2947	8	16	liver	liver	NOUN
cana-2947	8	17	enzyme	enzyme	NOUN
cana-2947	8	18	levels	level	NOUN
cana-2947	8	19	,	,	PUNCT
cana-2947	8	20	bilirubin	bilirubin	NOUN
cana-2947	8	21	concentration	concentration	NOUN
cana-2947	8	22	,	,	PUNCT
cana-2947	8	23	and	and	CCONJ
cana-2947	8	24	patient	patient	ADJ
cana-2947	8	25	demographics	demographic	NOUN
cana-2947	8	26	.	.	PUNCT
cana-2947	9	1	these	these	DET
cana-2947	9	2	data	datum	NOUN
cana-2947	9	3	are	be	AUX
cana-2947	9	4	transmitted	transmit	VERB
cana-2947	9	5	to	to	ADP
cana-2947	9	6	a	a	DET
cana-2947	9	7	cloud	cloud	NOUN
cana-2947	9	8	-	-	PUNCT
cana-2947	9	9	based	base	VERB
cana-2947	9	10	server	server	NOUN
cana-2947	9	11	through	through	ADP
cana-2947	9	12	iot	iot	ADJ
cana-2947	9	13	communication	communication	NOUN
cana-2947	9	14	protocols	protocol	NOUN
cana-2947	9	15	,	,	PUNCT
cana-2947	9	16	where	where	SCONJ
cana-2947	9	17	advanced	advanced	ADJ
cana-2947	9	18	ml	ml	NOUN
cana-2947	9	19	models	model	NOUN
cana-2947	9	20	analyze	analyze	VERB
cana-2947	9	21	the	the	DET
cana-2947	9	22	information	information	NOUN
cana-2947	9	23	to	to	PART
cana-2947	9	24	predict	predict	VERB
cana-2947	9	25	liver	liver	NOUN
cana-2947	9	26	disease	disease	NOUN
cana-2947	9	27	with	with	ADP
cana-2947	9	28	high	high	ADJ
cana-2947	9	29	accuracy	accuracy	NOUN
cana-2947	9	30	.	.	PUNCT
cana-2947	10	1	the	the	DET
cana-2947	10	2	system	system	NOUN
cana-2947	10	3	employs	employ	VERB
cana-2947	10	4	lightweight	lightweight	ADJ
cana-2947	10	5	algorithms	algorithm	NOUN
cana-2947	10	6	to	to	PART
cana-2947	10	7	ensure	ensure	VERB
cana-2947	10	8	low	low	ADJ
cana-2947	10	9	-	-	PUNCT
cana-2947	10	10	latency	latency	NOUN
cana-2947	10	11	processing	processing	NOUN
cana-2947	10	12	and	and	CCONJ
cana-2947	10	13	scalability	scalability	NOUN
cana-2947	10	14	for	for	ADP
cana-2947	10	15	remote	remote	ADJ
cana-2947	10	16	deployment	deployment	NOUN
cana-2947	10	17	in	in	ADP
cana-2947	10	18	resource	resource	NOUN
cana-2947	10	19	-	-	PUNCT
cana-2947	10	20	constrained	constrain	VERB
cana-2947	10	21	settings	setting	NOUN
cana-2947	10	22	.	.	PUNCT
cana-2947	11	1	rigorous	rigorous	ADJ
cana-2947	11	2	validation	validation	NOUN
cana-2947	11	3	using	use	VERB
cana-2947	11	4	clinical	clinical	ADJ
cana-2947	11	5	datasets	dataset	NOUN
cana-2947	11	6	demonstrates	demonstrate	VERB
cana-2947	11	7	the	the	DET
cana-2947	11	8	framework	framework	NOUN
cana-2947	11	9	's	's	PART
cana-2947	11	10	efficacy	efficacy	NOUN
cana-2947	11	11	,	,	PUNCT
cana-2947	11	12	achieving	achieve	VERB
cana-2947	11	13	substantial	substantial	ADJ
cana-2947	11	14	precision	precision	NOUN
cana-2947	11	15	and	and	CCONJ
cana-2947	11	16	recall	recall	NOUN
cana-2947	11	17	metrics	metric	NOUN
cana-2947	11	18	.	.	PUNCT
cana-2947	12	1	furthermore	furthermore	ADV
cana-2947	12	2	,	,	PUNCT
cana-2947	12	3	the	the	DET
cana-2947	12	4	integration	integration	NOUN
cana-2947	12	5	of	of	ADP
cana-2947	12	6	cloud	cloud	NOUN
cana-2947	12	7	computing	computing	NOUN
cana-2947	12	8	enhances	enhance	VERB
cana-2947	12	9	data	datum	NOUN
cana-2947	12	10	accessibility	accessibility	NOUN
cana-2947	12	11	,	,	PUNCT
cana-2947	12	12	storage	storage	NOUN
cana-2947	12	13	,	,	PUNCT
cana-2947	12	14	and	and	CCONJ
cana-2947	12	15	computational	computational	ADJ
cana-2947	12	16	capabilities	capability	NOUN
cana-2947	12	17	,	,	PUNCT
cana-2947	12	18	while	while	SCONJ
cana-2947	12	19	iot	iot	PROPN
cana-2947	12	20	components	component	NOUN
cana-2947	12	21	ensure	ensure	VERB
cana-2947	12	22	continuous	continuous	ADJ
cana-2947	12	23	monitoring	monitoring	NOUN
cana-2947	12	24	and	and	CCONJ
cana-2947	12	25	seamless	seamless	ADJ
cana-2947	12	26	patient	patient	ADJ
cana-2947	12	27	-	-	PUNCT
cana-2947	12	28	doctor	doctor	NOUN
cana-2947	12	29	communication	communication	NOUN
cana-2947	12	30	.	.	PUNCT
cana-2947	13	1	this	this	DET
cana-2947	13	2	study	study	NOUN
cana-2947	13	3	highlights	highlight	VERB
cana-2947	13	4	the	the	DET
cana-2947	13	5	potential	potential	NOUN
cana-2947	13	6	of	of	ADP
cana-2947	13	7	ml	ml	NOUN
cana-2947	13	8	-	-	PUNCT
cana-2947	13	9	powered	power	VERB
cana-2947	13	10	iot	iot	NOUN
cana-2947	13	11	systems	system	NOUN
cana-2947	13	12	in	in	ADP
cana-2947	13	13	improving	improve	VERB
cana-2947	13	14	early	early	ADJ
cana-2947	13	15	detection	detection	NOUN
cana-2947	13	16	and	and	CCONJ
cana-2947	13	17	personalized	personalize	VERB
cana-2947	13	18	healthcare	healthcare	NOUN
cana-2947	13	19	solutions	solution	NOUN
cana-2947	13	20	for	for	ADP
cana-2947	13	21	liver	liver	NOUN
cana-2947	13	22	diseases	disease	NOUN
cana-2947	13	23	,	,	PUNCT
cana-2947	13	24	offering	offer	VERB
cana-2947	13	25	a	a	DET
cana-2947	13	26	transformative	transformative	ADJ
cana-2947	13	27	shift	shift	NOUN
cana-2947	13	28	toward	toward	ADP
cana-2947	13	29	proactive	proactive	ADJ
cana-2947	13	30	and	and	CCONJ
cana-2947	13	31	patient	patient	NOUN
cana-2947	13	32	-	-	PUNCT
cana-2947	13	33	centered	center	VERB
cana-2947	13	34	medical	medical	ADJ
cana-2947	13	35	care	care	NOUN
cana-2947	13	36	.	.	PUNCT
cana-2947	14	1	the	the	DET
cana-2947	14	2	proposed	propose	VERB
cana-2947	14	3	framework	framework	NOUN
cana-2947	14	4	addresses	address	NOUN
cana-2947	14	5	challenges	challenge	VERB
cana-2947	14	6	such	such	ADJ
cana-2947	14	7	as	as	ADP
cana-2947	14	8	real	real	ADJ
cana-2947	14	9	-	-	PUNCT
cana-2947	14	10	time	time	NOUN
cana-2947	14	11	data	datum	NOUN
cana-2947	14	12	synchronization	synchronization	NOUN
cana-2947	14	13	,	,	PUNCT
cana-2947	14	14	energy	energy	NOUN
cana-2947	14	15	efficiency	efficiency	NOUN
cana-2947	14	16	,	,	PUNCT
cana-2947	14	17	and	and	CCONJ
cana-2947	14	18	robust	robust	ADJ
cana-2947	14	19	data	datum	NOUN
cana-2947	14	20	security	security	NOUN
cana-2947	14	21	,	,	PUNCT
cana-2947	14	22	paving	pave	VERB
cana-2947	14	23	the	the	DET
cana-2947	14	24	way	way	NOUN
cana-2947	14	25	for	for	ADP
cana-2947	14	26	scalable	scalable	ADJ
cana-2947	14	27	,	,	PUNCT
cana-2947	14	28	cost	cost	NOUN
cana-2947	14	29	-	-	PUNCT
cana-2947	14	30	effective	effective	ADJ
cana-2947	14	31	,	,	PUNCT
cana-2947	14	32	and	and	CCONJ
cana-2947	14	33	reliable	reliable	ADJ
cana-2947	14	34	liver	liver	NOUN
cana-2947	14	35	disease	disease	NOUN
cana-2947	14	36	detection	detection	NOUN
cana-2947	14	37	solutions	solution	NOUN
cana-2947	14	38	.	.	PUNCT
cana-2947	15	1	keywords	keyword	NOUN
cana-2947	15	2	:	:	PUNCT
cana-2947	15	3	innovative	innovative	ADJ
cana-2947	15	4	,	,	PUNCT
cana-2947	15	5	detection	detection	NOUN
cana-2947	15	6	,	,	PUNCT
cana-2947	15	7	embedded	embed	VERB
cana-2947	15	8	,	,	PUNCT
cana-2947	15	9	energy	energy	NOUN
cana-2947	15	10	,	,	PUNCT
cana-2947	15	11	iot	iot	NOUN
cana-2947	15	12	,	,	PUNCT
cana-2947	15	13	security	security	NOUN
cana-2947	15	14	.	.	PUNCT
cana-2947	16	1	1	1	X
cana-2947	16	2	.	.	X
cana-2947	16	3	introduction	introduction	NOUN
cana-2947	16	4	liver	liver	NOUN
cana-2947	16	5	diseases	disease	NOUN
cana-2947	16	6	,	,	PUNCT
cana-2947	16	7	ranging	range	VERB
cana-2947	16	8	from	from	ADP
cana-2947	16	9	minor	minor	ADJ
cana-2947	16	10	hepatic	hepatic	ADJ
cana-2947	16	11	dysfunctions	dysfunction	NOUN
cana-2947	16	12	to	to	ADP
cana-2947	16	13	severe	severe	ADJ
cana-2947	16	14	conditions	condition	NOUN
cana-2947	16	15	such	such	ADJ
cana-2947	16	16	as	as	ADP
cana-2947	16	17	cirrhosis	cirrhosis	NOUN
cana-2947	16	18	and	and	CCONJ
cana-2947	16	19	hepatocellular	hepatocellular	ADJ
cana-2947	16	20	carcinoma	carcinoma	NOUN
cana-2947	16	21	,	,	PUNCT
cana-2947	16	22	are	be	AUX
cana-2947	16	23	among	among	ADP
cana-2947	16	24	the	the	DET
cana-2947	16	25	leading	lead	VERB
cana-2947	16	26	causes	cause	NOUN
cana-2947	16	27	of	of	ADP
cana-2947	16	28	morbidity	morbidity	NOUN
cana-2947	16	29	and	and	CCONJ
cana-2947	16	30	mortality	mortality	NOUN
cana-2947	16	31	worldwide	worldwide	ADV
cana-2947	16	32	.	.	PUNCT
cana-2947	17	1	factors	factor	NOUN
cana-2947	17	2	such	such	ADJ
cana-2947	17	3	as	as	ADP
cana-2947	17	4	increasing	increase	VERB
cana-2947	17	5	alcohol	alcohol	NOUN
cana-2947	17	6	consumption	consumption	NOUN
cana-2947	17	7	,	,	PUNCT
cana-2947	17	8	unhealthy	unhealthy	ADJ
cana-2947	17	9	dietary	dietary	ADJ
cana-2947	17	10	habits	habit	NOUN
cana-2947	17	11	,	,	PUNCT
cana-2947	17	12	and	and	CCONJ
cana-2947	17	13	rising	rise	VERB
cana-2947	17	14	incidences	incidence	NOUN
cana-2947	17	15	of	of	ADP
cana-2947	17	16	viral	viral	ADJ
cana-2947	17	17	mailto:brajeshsingh.dce@gmail.com	mailto:brajeshsingh.dce@gmail.com	X
cana-2947	17	18	mailto:mallareddyadudhodla@gmail.com	mailto:mallareddyadudhodla@gmail.com	PROPN
cana-2947	17	19	mailto:vijitsrivastava@united.ac.in	mailto:vijitsrivastava@united.ac.in	X
cana-2947	17	20	mailto:ajaytiwari@csjmu.ac.in	mailto:ajaytiwari@csjmu.ac.in	PROPN
cana-2947	17	21	mailto:gauri.ghule@viit.ac.in	mailto:gauri.ghule@viit.ac.in	PROPN
cana-2947	17	22	mailto:sslbharani@gmail.com	mailto:sslbharani@gmail.com	X
cana-2947	17	23	mailto:mallareddyadudhodla@gmail.com	mailto:mallareddyadudhodla@gmail.com	X
cana-2947	17	24	communications	communication	NOUN
cana-2947	17	25	on	on	ADP
cana-2947	17	26	applied	apply	VERB
cana-2947	17	27	nonlinear	nonlinear	ADJ
cana-2947	17	28	analysis	analysis	NOUN
cana-2947	17	29	issn	issn	NOUN
cana-2947	17	30	:	:	PUNCT
cana-2947	17	31	1074	1074	NUM
cana-2947	17	32	-	-	PUNCT
cana-2947	17	33	133x	133x	NUM
cana-2947	17	34	vol	vol	NOUN
cana-2947	17	35	32	32	NUM
cana-2947	17	36	no	no	NOUN
cana-2947	17	37	.	.	PUNCT
cana-2947	18	1	5s	5s	NUM
cana-2947	18	2	(	(	PUNCT
cana-2947	18	3	2025	2025	NUM
cana-2947	18	4	)	)	PUNCT
cana-2947	18	5	52	52	NUM
cana-2947	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	18	7	hepatitis	hepatitis	NOUN
cana-2947	18	8	significantly	significantly	ADV
cana-2947	18	9	contribute	contribute	VERB
cana-2947	18	10	to	to	ADP
cana-2947	18	11	the	the	DET
cana-2947	18	12	growing	grow	VERB
cana-2947	18	13	prevalence	prevalence	NOUN
cana-2947	18	14	of	of	ADP
cana-2947	18	15	liver	liver	NOUN
cana-2947	18	16	diseases	disease	NOUN
cana-2947	18	17	.	.	PUNCT
cana-2947	19	1	effective	effective	ADJ
cana-2947	19	2	diagnosis	diagnosis	NOUN
cana-2947	19	3	and	and	CCONJ
cana-2947	19	4	timely	timely	ADJ
cana-2947	19	5	medical	medical	ADJ
cana-2947	19	6	intervention	intervention	NOUN
cana-2947	19	7	are	be	AUX
cana-2947	19	8	critical	critical	ADJ
cana-2947	19	9	to	to	ADP
cana-2947	19	10	mitigating	mitigate	VERB
cana-2947	19	11	disease	disease	NOUN
cana-2947	19	12	progression	progression	NOUN
cana-2947	19	13	,	,	PUNCT
cana-2947	19	14	improving	improve	VERB
cana-2947	19	15	patient	patient	ADJ
cana-2947	19	16	outcomes	outcome	NOUN
cana-2947	19	17	,	,	PUNCT
cana-2947	19	18	and	and	CCONJ
cana-2947	19	19	reducing	reduce	VERB
cana-2947	19	20	healthcare	healthcare	NOUN
cana-2947	19	21	costs	cost	NOUN
cana-2947	19	22	.	.	PUNCT
cana-2947	20	1	however	however	ADV
cana-2947	20	2	,	,	PUNCT
cana-2947	20	3	conventional	conventional	ADJ
cana-2947	20	4	diagnostic	diagnostic	ADJ
cana-2947	20	5	methods	method	NOUN
cana-2947	20	6	often	often	ADV
cana-2947	20	7	rely	rely	VERB
cana-2947	20	8	on	on	ADP
cana-2947	20	9	resourceintensive	resourceintensive	NOUN
cana-2947	20	10	procedures	procedure	NOUN
cana-2947	20	11	such	such	ADJ
cana-2947	20	12	as	as	ADP
cana-2947	20	13	biopsies	biopsy	NOUN
cana-2947	20	14	and	and	CCONJ
cana-2947	20	15	imaging	imaging	NOUN
cana-2947	20	16	,	,	PUNCT
cana-2947	20	17	which	which	PRON
cana-2947	20	18	may	may	AUX
cana-2947	20	19	not	not	PART
cana-2947	20	20	be	be	AUX
cana-2947	20	21	readily	readily	ADV
cana-2947	20	22	available	available	ADJ
cana-2947	20	23	in	in	ADP
cana-2947	20	24	remote	remote	ADJ
cana-2947	20	25	or	or	CCONJ
cana-2947	20	26	resource	resource	NOUN
cana-2947	20	27	-	-	PUNCT
cana-2947	20	28	constrained	constrain	VERB
cana-2947	20	29	areas[1	areas[1	NOUN
cana-2947	20	30	]	]	PUNCT
cana-2947	20	31	.	.	PUNCT
cana-2947	21	1	recent	recent	ADJ
cana-2947	21	2	advances	advance	NOUN
cana-2947	21	3	in	in	ADP
cana-2947	21	4	technology	technology	NOUN
cana-2947	21	5	,	,	PUNCT
cana-2947	21	6	particularly	particularly	ADV
cana-2947	21	7	the	the	DET
cana-2947	21	8	convergence	convergence	NOUN
cana-2947	21	9	of	of	ADP
cana-2947	21	10	the	the	DET
cana-2947	21	11	internet	internet	NOUN
cana-2947	21	12	of	of	ADP
cana-2947	21	13	things	thing	NOUN
cana-2947	21	14	(	(	PUNCT
cana-2947	21	15	iot	iot	NOUN
cana-2947	21	16	)	)	PUNCT
cana-2947	21	17	,	,	PUNCT
cana-2947	21	18	cloud	cloud	NOUN
cana-2947	21	19	computing	computing	NOUN
cana-2947	21	20	,	,	PUNCT
cana-2947	21	21	and	and	CCONJ
cana-2947	21	22	machine	machine	NOUN
cana-2947	21	23	learning	learning	NOUN
cana-2947	21	24	(	(	PUNCT
cana-2947	21	25	ml	ml	NOUN
cana-2947	21	26	)	)	PUNCT
cana-2947	21	27	,	,	PUNCT
cana-2947	21	28	have	have	AUX
cana-2947	21	29	opened	open	VERB
cana-2947	21	30	new	new	ADJ
cana-2947	21	31	avenues	avenue	NOUN
cana-2947	21	32	for	for	ADP
cana-2947	21	33	revolutionizing	revolutionize	VERB
cana-2947	21	34	healthcare	healthcare	NOUN
cana-2947	21	35	.	.	PUNCT
cana-2947	22	1	iot	iot	PROPN
cana-2947	22	2	devices	device	NOUN
cana-2947	22	3	equipped	equip	VERB
cana-2947	22	4	with	with	ADP
cana-2947	22	5	wearable	wearable	ADJ
cana-2947	22	6	sensors	sensor	NOUN
cana-2947	22	7	enable	enable	VERB
cana-2947	22	8	real	real	ADJ
cana-2947	22	9	-	-	PUNCT
cana-2947	22	10	time	time	NOUN
cana-2947	22	11	monitoring	monitoring	NOUN
cana-2947	22	12	of	of	ADP
cana-2947	22	13	physiological	physiological	ADJ
cana-2947	22	14	parameters	parameter	NOUN
cana-2947	22	15	,	,	PUNCT
cana-2947	22	16	while	while	SCONJ
cana-2947	22	17	ml	ml	NOUN
cana-2947	22	18	algorithms	algorithm	NOUN
cana-2947	22	19	offer	offer	VERB
cana-2947	22	20	robust	robust	ADJ
cana-2947	22	21	predictive	predictive	ADJ
cana-2947	22	22	capabilities	capability	NOUN
cana-2947	22	23	by	by	ADP
cana-2947	22	24	analyzing	analyze	VERB
cana-2947	22	25	complex	complex	ADJ
cana-2947	22	26	patterns	pattern	NOUN
cana-2947	22	27	in	in	ADP
cana-2947	22	28	biomedical	biomedical	ADJ
cana-2947	22	29	data[2	data[2	NOUN
cana-2947	22	30	]	]	PUNCT
cana-2947	22	31	.	.	PUNCT
cana-2947	23	1	cloud	cloud	NOUN
cana-2947	23	2	-	-	PUNCT
cana-2947	23	3	enabled	enable	VERB
cana-2947	23	4	systems	system	NOUN
cana-2947	23	5	further	far	ADV
cana-2947	23	6	augment	augment	VERB
cana-2947	23	7	these	these	DET
cana-2947	23	8	solutions	solution	NOUN
cana-2947	23	9	by	by	ADP
cana-2947	23	10	providing	provide	VERB
cana-2947	23	11	scalable	scalable	ADJ
cana-2947	23	12	data	datum	NOUN
cana-2947	23	13	storage	storage	NOUN
cana-2947	23	14	,	,	PUNCT
cana-2947	23	15	accessibility	accessibility	NOUN
cana-2947	23	16	,	,	PUNCT
cana-2947	23	17	and	and	CCONJ
cana-2947	23	18	computational	computational	ADJ
cana-2947	23	19	resources	resource	NOUN
cana-2947	23	20	.	.	PUNCT
cana-2947	24	1	leveraging	leverage	VERB
cana-2947	24	2	these	these	DET
cana-2947	24	3	technologies	technology	NOUN
cana-2947	24	4	can	can	AUX
cana-2947	24	5	potentially	potentially	ADV
cana-2947	24	6	address	address	VERB
cana-2947	24	7	current	current	ADJ
cana-2947	24	8	diagnostic	diagnostic	ADJ
cana-2947	24	9	limitations	limitation	NOUN
cana-2947	24	10	,	,	PUNCT
cana-2947	24	11	offering	offer	VERB
cana-2947	24	12	an	an	DET
cana-2947	24	13	efficient	efficient	ADJ
cana-2947	24	14	,	,	PUNCT
cana-2947	24	15	scalable	scalable	ADJ
cana-2947	24	16	,	,	PUNCT
cana-2947	24	17	and	and	CCONJ
cana-2947	24	18	patient	patient	NOUN
cana-2947	24	19	-	-	PUNCT
cana-2947	24	20	centered	center	VERB
cana-2947	24	21	approach	approach	NOUN
cana-2947	24	22	to	to	ADP
cana-2947	24	23	liver	liver	NOUN
cana-2947	24	24	disease	disease	NOUN
cana-2947	24	25	management	management	NOUN
cana-2947	24	26	.	.	PUNCT
cana-2947	25	1	this	this	DET
cana-2947	25	2	paper	paper	NOUN
cana-2947	25	3	presents	present	VERB
cana-2947	25	4	an	an	DET
cana-2947	25	5	innovative	innovative	ADJ
cana-2947	25	6	cloud	cloud	NOUN
cana-2947	25	7	-	-	PUNCT
cana-2947	25	8	enabled	enable	VERB
cana-2947	25	9	iot	iot	NOUN
cana-2947	25	10	framework	framework	NOUN
cana-2947	25	11	designed	design	VERB
cana-2947	25	12	for	for	ADP
cana-2947	25	13	liver	liver	NOUN
cana-2947	25	14	disease	disease	NOUN
cana-2947	25	15	detection	detection	NOUN
cana-2947	25	16	,	,	PUNCT
cana-2947	25	17	integrating	integrate	VERB
cana-2947	25	18	wearable	wearable	ADJ
cana-2947	25	19	sensors	sensor	NOUN
cana-2947	25	20	,	,	PUNCT
cana-2947	25	21	ml	ml	ADP
cana-2947	25	22	algorithms	algorithm	NOUN
cana-2947	25	23	,	,	PUNCT
cana-2947	25	24	and	and	CCONJ
cana-2947	25	25	cloud	cloud	NOUN
cana-2947	25	26	services	service	NOUN
cana-2947	25	27	.	.	PUNCT
cana-2947	26	1	the	the	DET
cana-2947	26	2	framework	framework	NOUN
cana-2947	26	3	provides	provide	VERB
cana-2947	26	4	the	the	DET
cana-2947	26	5	following	follow	VERB
cana-2947	26	6	contributions	contribution	NOUN
cana-2947	26	7	:	:	PUNCT
cana-2947	26	8	•	•	NUM
cana-2947	26	9	real	real	ADJ
cana-2947	26	10	-	-	PUNCT
cana-2947	26	11	time	time	NOUN
cana-2947	26	12	monitoring	monitoring	NOUN
cana-2947	26	13	:	:	PUNCT
cana-2947	26	14	iot	iot	ADJ
cana-2947	26	15	-	-	PUNCT
cana-2947	26	16	based	base	VERB
cana-2947	26	17	wearable	wearable	ADJ
cana-2947	26	18	sensors	sensor	NOUN
cana-2947	26	19	collect	collect	VERB
cana-2947	26	20	patient	patient	ADJ
cana-2947	26	21	data	datum	NOUN
cana-2947	26	22	,	,	PUNCT
cana-2947	26	23	such	such	ADJ
cana-2947	26	24	as	as	ADP
cana-2947	26	25	liver	liver	NOUN
cana-2947	26	26	enzyme	enzyme	NOUN
cana-2947	26	27	levels	level	NOUN
cana-2947	26	28	,	,	PUNCT
cana-2947	26	29	bilirubin	bilirubin	NOUN
cana-2947	26	30	concentration	concentration	NOUN
cana-2947	26	31	,	,	PUNCT
cana-2947	26	32	and	and	CCONJ
cana-2947	26	33	other	other	ADJ
cana-2947	26	34	physiological	physiological	ADJ
cana-2947	26	35	parameters	parameter	NOUN
cana-2947	26	36	.	.	PUNCT
cana-2947	27	1	•	•	NUM
cana-2947	27	2	efficient	efficient	ADJ
cana-2947	27	3	data	datum	NOUN
cana-2947	27	4	transmission	transmission	NOUN
cana-2947	27	5	:	:	PUNCT
cana-2947	27	6	the	the	DET
cana-2947	27	7	collected	collect	VERB
cana-2947	27	8	data	datum	NOUN
cana-2947	27	9	is	be	AUX
cana-2947	27	10	transmitted	transmit	VERB
cana-2947	27	11	to	to	ADP
cana-2947	27	12	cloud	cloud	NOUN
cana-2947	27	13	servers	server	NOUN
cana-2947	27	14	using	use	VERB
cana-2947	27	15	lightweight	lightweight	ADJ
cana-2947	27	16	communication	communication	NOUN
cana-2947	27	17	protocols	protocol	NOUN
cana-2947	27	18	for	for	ADP
cana-2947	27	19	analysis	analysis	NOUN
cana-2947	27	20	and	and	CCONJ
cana-2947	27	21	storage	storage	NOUN
cana-2947	27	22	.	.	PUNCT
cana-2947	28	1	•	•	NUM
cana-2947	28	2	advanced	advanced	ADJ
cana-2947	28	3	predictive	predictive	ADJ
cana-2947	28	4	modeling	modeling	NOUN
cana-2947	28	5	:	:	PUNCT
cana-2947	28	6	ml	ml	ADP
cana-2947	28	7	algorithms	algorithm	NOUN
cana-2947	28	8	trained	train	VERB
cana-2947	28	9	on	on	ADP
cana-2947	28	10	extensive	extensive	ADJ
cana-2947	28	11	clinical	clinical	ADJ
cana-2947	28	12	datasets	dataset	NOUN
cana-2947	28	13	analyze	analyze	VERB
cana-2947	28	14	the	the	DET
cana-2947	28	15	data	datum	NOUN
cana-2947	28	16	for	for	ADP
cana-2947	28	17	early	early	ADJ
cana-2947	28	18	detection	detection	NOUN
cana-2947	28	19	of	of	ADP
cana-2947	28	20	liver	liver	NOUN
cana-2947	28	21	diseases	disease	NOUN
cana-2947	28	22	with	with	ADP
cana-2947	28	23	high	high	ADJ
cana-2947	28	24	accuracy	accuracy	NOUN
cana-2947	28	25	.	.	PUNCT
cana-2947	29	1	•	•	NUM
cana-2947	29	2	scalable	scalable	ADJ
cana-2947	29	3	and	and	CCONJ
cana-2947	29	4	cost	cost	NOUN
cana-2947	29	5	-	-	PUNCT
cana-2947	29	6	effective	effective	ADJ
cana-2947	29	7	solution	solution	NOUN
cana-2947	29	8	:	:	PUNCT
cana-2947	29	9	by	by	ADP
cana-2947	29	10	leveraging	leverage	VERB
cana-2947	29	11	iot	iot	NOUN
cana-2947	29	12	and	and	CCONJ
cana-2947	29	13	cloud	cloud	NOUN
cana-2947	29	14	technology	technology	NOUN
cana-2947	29	15	,	,	PUNCT
cana-2947	29	16	the	the	DET
cana-2947	29	17	framework	framework	NOUN
cana-2947	29	18	ensures	ensure	VERB
cana-2947	29	19	scalability	scalability	NOUN
cana-2947	29	20	,	,	PUNCT
cana-2947	29	21	making	make	VERB
cana-2947	29	22	it	it	PRON
cana-2947	29	23	deployable	deployable	VERB
cana-2947	29	24	in	in	ADP
cana-2947	29	25	remote	remote	ADJ
cana-2947	29	26	and	and	CCONJ
cana-2947	29	27	resource	resource	NOUN
cana-2947	29	28	-	-	PUNCT
cana-2947	29	29	constrained	constrain	VERB
cana-2947	29	30	environments	environment	NOUN
cana-2947	29	31	.	.	PUNCT
cana-2947	30	1	•	•	NUM
cana-2947	30	2	enhanced	enhance	VERB
cana-2947	30	3	patient	patient	NOUN
cana-2947	30	4	-	-	PUNCT
cana-2947	30	5	centric	centric	ADJ
cana-2947	30	6	care	care	NOUN
cana-2947	30	7	:	:	PUNCT
cana-2947	30	8	real	real	ADJ
cana-2947	30	9	-	-	PUNCT
cana-2947	30	10	time	time	NOUN
cana-2947	30	11	alerts	alert	NOUN
cana-2947	30	12	,	,	PUNCT
cana-2947	30	13	continuous	continuous	ADJ
cana-2947	30	14	monitoring	monitoring	NOUN
cana-2947	30	15	,	,	PUNCT
cana-2947	30	16	and	and	CCONJ
cana-2947	30	17	seamless	seamless	ADJ
cana-2947	30	18	data	datum	NOUN
cana-2947	30	19	sharing	share	VERB
cana-2947	30	20	enhance	enhance	VERB
cana-2947	30	21	communication	communication	NOUN
cana-2947	30	22	between	between	ADP
cana-2947	30	23	patients	patient	NOUN
cana-2947	30	24	and	and	CCONJ
cana-2947	30	25	healthcare	healthcare	NOUN
cana-2947	30	26	providers	provider	NOUN
cana-2947	30	27	,	,	PUNCT
cana-2947	30	28	fostering	foster	VERB
cana-2947	30	29	personalized	personalized	ADJ
cana-2947	30	30	treatment	treatment	NOUN
cana-2947	30	31	strategies	strategy	NOUN
cana-2947	30	32	.	.	PUNCT
cana-2947	31	1	implementing	implement	VERB
cana-2947	31	2	such	such	DET
cana-2947	31	3	a	a	DET
cana-2947	31	4	comprehensive	comprehensive	ADJ
cana-2947	31	5	system	system	NOUN
cana-2947	31	6	involves	involve	VERB
cana-2947	31	7	addressing	address	VERB
cana-2947	31	8	several	several	ADJ
cana-2947	31	9	challenges	challenge	NOUN
cana-2947	31	10	:	:	PUNCT
cana-2947	31	11	•	•	NUM
cana-2947	31	12	data	datum	NOUN
cana-2947	31	13	security	security	NOUN
cana-2947	31	14	and	and	CCONJ
cana-2947	31	15	privacy	privacy	NOUN
cana-2947	31	16	:	:	PUNCT
cana-2947	31	17	the	the	DET
cana-2947	31	18	transfer	transfer	NOUN
cana-2947	31	19	and	and	CCONJ
cana-2947	31	20	storage	storage	NOUN
cana-2947	31	21	of	of	ADP
cana-2947	31	22	sensitive	sensitive	ADJ
cana-2947	31	23	health	health	NOUN
cana-2947	31	24	information	information	NOUN
cana-2947	31	25	require	require	VERB
cana-2947	31	26	robust	robust	ADJ
cana-2947	31	27	encryption	encryption	NOUN
cana-2947	31	28	protocols	protocol	NOUN
cana-2947	31	29	to	to	PART
cana-2947	31	30	ensure	ensure	VERB
cana-2947	31	31	data	datum	NOUN
cana-2947	31	32	confidentiality	confidentiality	NOUN
cana-2947	31	33	and	and	CCONJ
cana-2947	31	34	integrity	integrity	NOUN
cana-2947	31	35	.	.	PUNCT
cana-2947	32	1	•	•	NUM
cana-2947	32	2	energy	energy	NOUN
cana-2947	32	3	efficiency	efficiency	NOUN
cana-2947	32	4	:	:	PUNCT
cana-2947	32	5	prolonged	prolonged	ADJ
cana-2947	32	6	operation	operation	NOUN
cana-2947	32	7	of	of	ADP
cana-2947	32	8	wearable	wearable	ADJ
cana-2947	32	9	sensors	sensor	NOUN
cana-2947	32	10	and	and	CCONJ
cana-2947	32	11	iot	iot	PROPN
cana-2947	32	12	devices	device	NOUN
cana-2947	32	13	necessitates	necessitate	VERB
cana-2947	32	14	lowpower	lowpower	NOUN
cana-2947	32	15	designs	design	NOUN
cana-2947	32	16	to	to	PART
cana-2947	32	17	optimize	optimize	VERB
cana-2947	32	18	battery	battery	NOUN
cana-2947	32	19	life	life	NOUN
cana-2947	32	20	.	.	PUNCT
cana-2947	33	1	•	•	NOUN
cana-2947	33	2	interoperability	interoperability	NOUN
cana-2947	33	3	:	:	PUNCT
cana-2947	33	4	seamless	seamless	ADJ
cana-2947	33	5	integration	integration	NOUN
cana-2947	33	6	of	of	ADP
cana-2947	33	7	heterogeneous	heterogeneous	ADJ
cana-2947	33	8	devices	device	NOUN
cana-2947	33	9	and	and	CCONJ
cana-2947	33	10	data	datum	NOUN
cana-2947	33	11	formats	format	NOUN
cana-2947	33	12	requires	require	VERB
cana-2947	33	13	standardized	standardized	ADJ
cana-2947	33	14	protocols	protocol	NOUN
cana-2947	33	15	and	and	CCONJ
cana-2947	33	16	frameworks	framework	NOUN
cana-2947	33	17	.	.	PUNCT
cana-2947	34	1	•	•	NUM
cana-2947	34	2	real	real	ADJ
cana-2947	34	3	-	-	PUNCT
cana-2947	34	4	time	time	NOUN
cana-2947	34	5	analytics	analytic	NOUN
cana-2947	34	6	:	:	PUNCT
cana-2947	34	7	ml	ml	ADP
cana-2947	34	8	algorithms	algorithm	NOUN
cana-2947	34	9	must	must	AUX
cana-2947	34	10	process	process	VERB
cana-2947	34	11	data	datum	NOUN
cana-2947	34	12	efficiently	efficiently	ADV
cana-2947	34	13	in	in	ADP
cana-2947	34	14	near	near	ADP
cana-2947	34	15	real	real	ADJ
cana-2947	34	16	-	-	PUNCT
cana-2947	34	17	time	time	NOUN
cana-2947	34	18	to	to	PART
cana-2947	34	19	provide	provide	VERB
cana-2947	34	20	actionable	actionable	ADJ
cana-2947	34	21	insights	insight	NOUN
cana-2947	34	22	without	without	ADP
cana-2947	34	23	latency	latency	NOUN
cana-2947	34	24	.	.	PUNCT
cana-2947	35	1	this	this	DET
cana-2947	35	2	study	study	NOUN
cana-2947	35	3	systematically	systematically	ADV
cana-2947	35	4	addresses	address	VERB
cana-2947	35	5	these	these	DET
cana-2947	35	6	challenges	challenge	NOUN
cana-2947	35	7	by	by	ADP
cana-2947	35	8	incorporating	incorporate	VERB
cana-2947	35	9	secure	secure	ADJ
cana-2947	35	10	data	data	NOUN
cana-2947	35	11	transfer	transfer	NOUN
cana-2947	35	12	mechanisms	mechanism	NOUN
cana-2947	35	13	,	,	PUNCT
cana-2947	35	14	optimizing	optimize	VERB
cana-2947	35	15	sensor	sensor	NOUN
cana-2947	35	16	energy	energy	NOUN
cana-2947	35	17	consumption	consumption	NOUN
cana-2947	35	18	,	,	PUNCT
cana-2947	35	19	and	and	CCONJ
cana-2947	35	20	employing	employ	VERB
cana-2947	35	21	lightweight	lightweight	ADJ
cana-2947	35	22	predictive	predictive	ADJ
cana-2947	35	23	algorithms	algorithm	NOUN
cana-2947	35	24	suitable	suitable	ADJ
cana-2947	35	25	for	for	ADP
cana-2947	35	26	resource	resource	NOUN
cana-2947	35	27	-	-	PUNCT
cana-2947	35	28	constrained	constrain	VERB
cana-2947	35	29	devices	device	NOUN
cana-2947	35	30	.	.	PUNCT
cana-2947	36	1	communications	communication	NOUN
cana-2947	36	2	on	on	ADP
cana-2947	36	3	applied	apply	VERB
cana-2947	36	4	nonlinear	nonlinear	ADJ
cana-2947	36	5	analysis	analysis	NOUN
cana-2947	36	6	issn	issn	NOUN
cana-2947	36	7	:	:	PUNCT
cana-2947	36	8	1074	1074	NUM
cana-2947	36	9	-	-	PUNCT
cana-2947	36	10	133x	133x	NUM
cana-2947	36	11	vol	vol	NOUN
cana-2947	36	12	32	32	NUM
cana-2947	36	13	no	no	NOUN
cana-2947	36	14	.	.	PUNCT
cana-2947	37	1	5s	5s	NUM
cana-2947	37	2	(	(	PUNCT
cana-2947	37	3	2025	2025	NUM
cana-2947	37	4	)	)	PUNCT
cana-2947	37	5	53	53	NUM
cana-2947	37	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	37	7	the	the	DET
cana-2947	37	8	remainder	remainder	NOUN
cana-2947	37	9	of	of	ADP
cana-2947	37	10	this	this	DET
cana-2947	37	11	paper	paper	NOUN
cana-2947	37	12	is	be	AUX
cana-2947	37	13	structured	structure	VERB
cana-2947	37	14	as	as	SCONJ
cana-2947	37	15	follows	follow	VERB
cana-2947	37	16	.	.	PUNCT
cana-2947	38	1	section	section	NOUN
cana-2947	38	2	2	2	NUM
cana-2947	38	3	reviews	review	NOUN
cana-2947	38	4	related	relate	VERB
cana-2947	38	5	work	work	NOUN
cana-2947	38	6	,	,	PUNCT
cana-2947	38	7	highlighting	highlight	VERB
cana-2947	38	8	gaps	gap	NOUN
cana-2947	38	9	in	in	ADP
cana-2947	38	10	existing	exist	VERB
cana-2947	38	11	liver	liver	NOUN
cana-2947	38	12	disease	disease	NOUN
cana-2947	38	13	detection	detection	NOUN
cana-2947	38	14	frameworks	framework	NOUN
cana-2947	38	15	.	.	PUNCT
cana-2947	39	1	section	section	NOUN
cana-2947	39	2	3	3	NUM
cana-2947	39	3	elaborates	elaborate	VERB
cana-2947	39	4	on	on	ADP
cana-2947	39	5	the	the	DET
cana-2947	39	6	system	system	NOUN
cana-2947	39	7	architecture	architecture	NOUN
cana-2947	39	8	,	,	PUNCT
cana-2947	39	9	detailing	detail	VERB
cana-2947	39	10	the	the	DET
cana-2947	39	11	design	design	NOUN
cana-2947	39	12	and	and	CCONJ
cana-2947	39	13	integration	integration	NOUN
cana-2947	39	14	of	of	ADP
cana-2947	39	15	iot	iot	ADJ
cana-2947	39	16	components	component	NOUN
cana-2947	39	17	,	,	PUNCT
cana-2947	39	18	ml	ml	NOUN
cana-2947	39	19	models	model	NOUN
cana-2947	39	20	,	,	PUNCT
cana-2947	39	21	and	and	CCONJ
cana-2947	39	22	cloud	cloud	NOUN
cana-2947	39	23	infrastructure	infrastructure	NOUN
cana-2947	39	24	.	.	PUNCT
cana-2947	40	1	section	section	NOUN
cana-2947	40	2	4	4	NUM
cana-2947	40	3	discusses	discuss	VERB
cana-2947	40	4	experimental	experimental	ADJ
cana-2947	40	5	setup	setup	NOUN
cana-2947	40	6	and	and	CCONJ
cana-2947	40	7	results	result	NOUN
cana-2947	40	8	,	,	PUNCT
cana-2947	40	9	showcasing	showcase	VERB
cana-2947	40	10	the	the	DET
cana-2947	40	11	efficacy	efficacy	NOUN
cana-2947	40	12	of	of	ADP
cana-2947	40	13	the	the	DET
cana-2947	40	14	framework	framework	NOUN
cana-2947	40	15	.	.	PUNCT
cana-2947	41	1	finally	finally	ADV
cana-2947	41	2	,	,	PUNCT
cana-2947	41	3	section	section	NOUN
cana-2947	41	4	5	5	NUM
cana-2947	41	5	concludes	conclude	VERB
cana-2947	41	6	with	with	ADP
cana-2947	41	7	a	a	DET
cana-2947	41	8	summary	summary	NOUN
cana-2947	41	9	of	of	ADP
cana-2947	41	10	the	the	DET
cana-2947	41	11	contributions	contribution	NOUN
cana-2947	41	12	and	and	CCONJ
cana-2947	41	13	envisioned	envision	VERB
cana-2947	41	14	impact	impact	NOUN
cana-2947	41	15	of	of	ADP
cana-2947	41	16	the	the	DET
cana-2947	41	17	framework	framework	NOUN
cana-2947	41	18	.	.	PUNCT
cana-2947	42	1	2	2	X
cana-2947	42	2	.	.	X
cana-2947	42	3	related	relate	VERB
cana-2947	42	4	work	work	NOUN
cana-2947	42	5	the	the	DET
cana-2947	42	6	development	development	NOUN
cana-2947	42	7	of	of	ADP
cana-2947	42	8	advanced	advanced	ADJ
cana-2947	42	9	technologies	technology	NOUN
cana-2947	42	10	has	have	AUX
cana-2947	42	11	profoundly	profoundly	ADV
cana-2947	42	12	influenced	influence	VERB
cana-2947	42	13	the	the	DET
cana-2947	42	14	healthcare	healthcare	NOUN
cana-2947	42	15	sector	sector	NOUN
cana-2947	42	16	,	,	PUNCT
cana-2947	42	17	particularly	particularly	ADV
cana-2947	42	18	in	in	ADP
cana-2947	42	19	diagnosing	diagnosing	NOUN
cana-2947	42	20	and	and	CCONJ
cana-2947	42	21	managing	manage	VERB
cana-2947	42	22	chronic	chronic	ADJ
cana-2947	42	23	diseases	disease	NOUN
cana-2947	42	24	such	such	ADJ
cana-2947	42	25	as	as	ADP
cana-2947	42	26	liver	liver	NOUN
cana-2947	42	27	conditions	condition	NOUN
cana-2947	42	28	.	.	PUNCT
cana-2947	43	1	liver	liver	NOUN
cana-2947	43	2	diseases	disease	NOUN
cana-2947	43	3	are	be	AUX
cana-2947	43	4	among	among	ADP
cana-2947	43	5	the	the	DET
cana-2947	43	6	leading	lead	VERB
cana-2947	43	7	causes	cause	NOUN
cana-2947	43	8	of	of	ADP
cana-2947	43	9	global	global	ADJ
cana-2947	43	10	health	health	NOUN
cana-2947	43	11	challenges	challenge	NOUN
cana-2947	43	12	,	,	PUNCT
cana-2947	43	13	accounting	account	VERB
cana-2947	43	14	for	for	ADP
cana-2947	43	15	millions	million	NOUN
cana-2947	43	16	of	of	ADP
cana-2947	43	17	deaths	death	NOUN
cana-2947	43	18	annually	annually	ADV
cana-2947	43	19	.	.	PUNCT
cana-2947	44	1	factors	factor	NOUN
cana-2947	44	2	such	such	ADJ
cana-2947	44	3	as	as	ADP
cana-2947	44	4	excessive	excessive	ADJ
cana-2947	44	5	alcohol	alcohol	NOUN
cana-2947	44	6	consumption	consumption	NOUN
cana-2947	44	7	,	,	PUNCT
cana-2947	44	8	obesity	obesity	NOUN
cana-2947	44	9	,	,	PUNCT
cana-2947	44	10	and	and	CCONJ
cana-2947	44	11	the	the	DET
cana-2947	44	12	prevalence	prevalence	NOUN
cana-2947	44	13	of	of	ADP
cana-2947	44	14	viral	viral	ADJ
cana-2947	44	15	infections	infection	NOUN
cana-2947	44	16	like	like	ADP
cana-2947	44	17	hepatitis	hepatitis	PROPN
cana-2947	44	18	b	b	PROPN
cana-2947	44	19	and	and	CCONJ
cana-2947	44	20	c	c	PROPN
cana-2947	44	21	contribute	contribute	VERB
cana-2947	44	22	significantly	significantly	ADV
cana-2947	44	23	to	to	ADP
cana-2947	44	24	the	the	DET
cana-2947	44	25	growing	grow	VERB
cana-2947	44	26	burden	burden	NOUN
cana-2947	44	27	of	of	ADP
cana-2947	44	28	liver	liver	NOUN
cana-2947	44	29	-	-	PUNCT
cana-2947	44	30	related	relate	VERB
cana-2947	44	31	ailments[3,4	ailments[3,4	PROPN
cana-2947	44	32	]	]	PUNCT
cana-2947	44	33	.	.	PUNCT
cana-2947	45	1	traditional	traditional	ADJ
cana-2947	45	2	diagnostic	diagnostic	ADJ
cana-2947	45	3	methods	method	NOUN
cana-2947	45	4	rely	rely	VERB
cana-2947	45	5	on	on	ADP
cana-2947	45	6	invasive	invasive	ADJ
cana-2947	45	7	procedures	procedure	NOUN
cana-2947	45	8	like	like	ADP
cana-2947	45	9	biopsies	biopsy	NOUN
cana-2947	45	10	or	or	CCONJ
cana-2947	45	11	imaging	imaging	NOUN
cana-2947	45	12	techniques	technique	NOUN
cana-2947	45	13	that	that	PRON
cana-2947	45	14	are	be	AUX
cana-2947	45	15	often	often	ADV
cana-2947	45	16	expensive	expensive	ADJ
cana-2947	45	17	,	,	PUNCT
cana-2947	45	18	time	time	NOUN
cana-2947	45	19	-	-	PUNCT
cana-2947	45	20	consuming	consume	VERB
cana-2947	45	21	,	,	PUNCT
cana-2947	45	22	and	and	CCONJ
cana-2947	45	23	inaccessible	inaccessible	ADJ
cana-2947	45	24	in	in	ADP
cana-2947	45	25	remote	remote	ADJ
cana-2947	45	26	areas	area	NOUN
cana-2947	45	27	.	.	PUNCT
cana-2947	46	1	consequently	consequently	ADV
cana-2947	46	2	,	,	PUNCT
cana-2947	46	3	there	there	PRON
cana-2947	46	4	is	be	VERB
cana-2947	46	5	an	an	DET
cana-2947	46	6	urgent	urgent	ADJ
cana-2947	46	7	need	need	NOUN
cana-2947	46	8	for	for	ADP
cana-2947	46	9	innovative	innovative	ADJ
cana-2947	46	10	,	,	PUNCT
cana-2947	46	11	scalable	scalable	ADJ
cana-2947	46	12	,	,	PUNCT
cana-2947	46	13	and	and	CCONJ
cana-2947	46	14	efficient	efficient	ADJ
cana-2947	46	15	solutions	solution	NOUN
cana-2947	46	16	to	to	PART
cana-2947	46	17	enable	enable	VERB
cana-2947	46	18	early	early	ADJ
cana-2947	46	19	detection	detection	NOUN
cana-2947	46	20	and	and	CCONJ
cana-2947	46	21	timely	timely	ADJ
cana-2947	46	22	intervention	intervention	NOUN
cana-2947	46	23	for	for	ADP
cana-2947	46	24	liver	liver	NOUN
cana-2947	46	25	diseases	disease	NOUN
cana-2947	46	26	.	.	PUNCT
cana-2947	47	1	recent	recent	ADJ
cana-2947	47	2	advancements	advancement	NOUN
cana-2947	47	3	in	in	ADP
cana-2947	47	4	the	the	DET
cana-2947	47	5	internet	internet	NOUN
cana-2947	47	6	of	of	ADP
cana-2947	47	7	things	thing	NOUN
cana-2947	47	8	(	(	PUNCT
cana-2947	47	9	iot	iot	NOUN
cana-2947	47	10	)	)	PUNCT
cana-2947	47	11	,	,	PUNCT
cana-2947	47	12	machine	machine	NOUN
cana-2947	47	13	learning	learning	NOUN
cana-2947	47	14	(	(	PUNCT
cana-2947	47	15	ml	ml	NOUN
cana-2947	47	16	)	)	PUNCT
cana-2947	47	17	,	,	PUNCT
cana-2947	47	18	and	and	CCONJ
cana-2947	47	19	cloud	cloud	NOUN
cana-2947	47	20	computing	computing	NOUN
cana-2947	47	21	have	have	AUX
cana-2947	47	22	opened	open	VERB
cana-2947	47	23	new	new	ADJ
cana-2947	47	24	avenues	avenue	NOUN
cana-2947	47	25	for	for	ADP
cana-2947	47	26	transforming	transform	VERB
cana-2947	47	27	liver	liver	NOUN
cana-2947	47	28	disease	disease	NOUN
cana-2947	47	29	diagnostics	diagnostic	NOUN
cana-2947	47	30	.	.	PUNCT
cana-2947	48	1	iot	iot	PROPN
cana-2947	48	2	devices	device	NOUN
cana-2947	48	3	,	,	PUNCT
cana-2947	48	4	such	such	ADJ
cana-2947	48	5	as	as	ADP
cana-2947	48	6	wearable	wearable	ADJ
cana-2947	48	7	sensors	sensor	NOUN
cana-2947	48	8	,	,	PUNCT
cana-2947	48	9	enable	enable	VERB
cana-2947	48	10	continuous	continuous	ADJ
cana-2947	48	11	and	and	CCONJ
cana-2947	48	12	real	real	ADJ
cana-2947	48	13	-	-	PUNCT
cana-2947	48	14	time	time	NOUN
cana-2947	48	15	monitoring	monitoring	NOUN
cana-2947	48	16	of	of	ADP
cana-2947	48	17	physiological	physiological	ADJ
cana-2947	48	18	parameters	parameter	NOUN
cana-2947	48	19	like	like	ADP
cana-2947	48	20	liver	liver	NOUN
cana-2947	48	21	enzyme	enzyme	NOUN
cana-2947	48	22	levels	level	NOUN
cana-2947	48	23	,	,	PUNCT
cana-2947	48	24	bilirubin	bilirubin	NOUN
cana-2947	48	25	concentrations	concentration	NOUN
cana-2947	48	26	,	,	PUNCT
cana-2947	48	27	and	and	CCONJ
cana-2947	48	28	patient	patient	ADJ
cana-2947	48	29	vitals[5	vitals[5	NOUN
cana-2947	48	30	]	]	PUNCT
cana-2947	48	31	.	.	PUNCT
cana-2947	49	1	these	these	DET
cana-2947	49	2	sensors	sensor	NOUN
cana-2947	49	3	can	can	AUX
cana-2947	49	4	transmit	transmit	VERB
cana-2947	49	5	data	datum	NOUN
cana-2947	49	6	wirelessly	wirelessly	ADV
cana-2947	49	7	to	to	ADP
cana-2947	49	8	centralized	centralized	ADJ
cana-2947	49	9	servers	server	NOUN
cana-2947	49	10	or	or	CCONJ
cana-2947	49	11	cloud	cloud	NOUN
cana-2947	49	12	platforms	platform	NOUN
cana-2947	49	13	for	for	ADP
cana-2947	49	14	further	further	ADJ
cana-2947	49	15	processing	processing	NOUN
cana-2947	49	16	.	.	PUNCT
cana-2947	50	1	the	the	DET
cana-2947	50	2	integration	integration	NOUN
cana-2947	50	3	of	of	ADP
cana-2947	50	4	iot	iot	PROPN
cana-2947	50	5	into	into	ADP
cana-2947	50	6	healthcare	healthcare	NOUN
cana-2947	50	7	has	have	AUX
cana-2947	50	8	proven	prove	VERB
cana-2947	50	9	effective	effective	ADJ
cana-2947	50	10	in	in	ADP
cana-2947	50	11	reducing	reduce	VERB
cana-2947	50	12	latency	latency	NOUN
cana-2947	50	13	and	and	CCONJ
cana-2947	50	14	enhancing	enhance	VERB
cana-2947	50	15	patient	patient	ADJ
cana-2947	50	16	care	care	NOUN
cana-2947	50	17	.	.	PUNCT
cana-2947	51	1	for	for	ADP
cana-2947	51	2	instance	instance	NOUN
cana-2947	51	3	,	,	PUNCT
cana-2947	51	4	wearable	wearable	ADJ
cana-2947	51	5	devices	device	NOUN
cana-2947	51	6	equipped	equip	VERB
cana-2947	51	7	with	with	ADP
cana-2947	51	8	bluetooth	bluetooth	NOUN
cana-2947	51	9	or	or	CCONJ
cana-2947	51	10	zigbee	zigbee	PROPN
cana-2947	51	11	communication	communication	NOUN
cana-2947	51	12	protocols	protocol	NOUN
cana-2947	51	13	have	have	AUX
cana-2947	51	14	demonstrated	demonstrate	VERB
cana-2947	51	15	reliability	reliability	NOUN
cana-2947	51	16	and	and	CCONJ
cana-2947	51	17	energy	energy	NOUN
cana-2947	51	18	efficiency	efficiency	NOUN
cana-2947	51	19	,	,	PUNCT
cana-2947	51	20	as	as	SCONJ
cana-2947	51	21	shown	show	VERB
cana-2947	51	22	in	in	ADP
cana-2947	51	23	table	table	NOUN
cana-2947	51	24	1	1	NUM
cana-2947	51	25	.	.	PUNCT
cana-2947	51	26	table	table	NOUN
cana-2947	51	27	1	1	NUM
cana-2947	51	28	:	:	PUNCT
cana-2947	51	29	examples	example	NOUN
cana-2947	51	30	of	of	ADP
cana-2947	51	31	iot	iot	NOUN
cana-2947	51	32	-	-	PUNCT
cana-2947	51	33	based	base	VERB
cana-2947	51	34	systems	system	NOUN
cana-2947	51	35	for	for	ADP
cana-2947	51	36	liver	liver	NOUN
cana-2947	51	37	monitoring	monitoring	NOUN
cana-2947	51	38	system	system	NOUN
cana-2947	51	39	parameters	parameter	NOUN
cana-2947	51	40	monitored	monitor	VERB
cana-2947	51	41	communication	communication	NOUN
cana-2947	51	42	protocol	protocol	NOUN
cana-2947	51	43	advantages	advantage	NOUN
cana-2947	51	44	iot	iot	ADJ
cana-2947	51	45	-	-	PUNCT
cana-2947	51	46	livercare	livercare	NOUN
cana-2947	51	47	enzyme	enzyme	NOUN
cana-2947	51	48	levels	level	NOUN
cana-2947	51	49	,	,	PUNCT
cana-2947	51	50	bilirubin	bilirubin	NOUN
cana-2947	51	51	bluetooth	bluetooth	PROPN
cana-2947	51	52	,	,	PUNCT
cana-2947	51	53	wi	wi	PROPN
cana-2947	51	54	-	-	PUNCT
cana-2947	51	55	fi	fi	NOUN
cana-2947	51	56	portable	portable	NOUN
cana-2947	51	57	,	,	PUNCT
cana-2947	51	58	cost	cost	NOUN
cana-2947	51	59	-	-	PUNCT
cana-2947	51	60	effective	effective	ADJ
cana-2947	51	61	hepato	hepato	NOUN
cana-2947	51	62	-	-	PUNCT
cana-2947	51	63	iot	iot	NOUN
cana-2947	51	64	temperature	temperature	NOUN
cana-2947	51	65	,	,	PUNCT
cana-2947	51	66	heart	heart	NOUN
cana-2947	51	67	rate	rate	NOUN
cana-2947	51	68	zigbee	zigbee	PROPN
cana-2947	51	69	energy	energy	NOUN
cana-2947	51	70	-	-	PUNCT
cana-2947	51	71	efficient	efficient	ADJ
cana-2947	51	72	,	,	PUNCT
cana-2947	51	73	reliable	reliable	ADJ
cana-2947	51	74	cloudiotliver	cloudiotliver	NOUN
cana-2947	51	75	full	full	ADJ
cana-2947	51	76	liver	liver	NOUN
cana-2947	51	77	profile	profile	NOUN
cana-2947	51	78	mqtt	mqtt	VERB
cana-2947	51	79	real	real	ADJ
cana-2947	51	80	-	-	PUNCT
cana-2947	51	81	time	time	NOUN
cana-2947	51	82	analytics	analytic	NOUN
cana-2947	51	83	,	,	PUNCT
cana-2947	51	84	scalable	scalable	ADJ
cana-2947	51	85	while	while	SCONJ
cana-2947	51	86	iot	iot	PROPN
cana-2947	51	87	facilitates	facilitate	VERB
cana-2947	51	88	real	real	ADJ
cana-2947	51	89	-	-	PUNCT
cana-2947	51	90	time	time	NOUN
cana-2947	51	91	data	datum	NOUN
cana-2947	51	92	collection	collection	NOUN
cana-2947	51	93	,	,	PUNCT
cana-2947	51	94	machine	machine	NOUN
cana-2947	51	95	learning	learning	NOUN
cana-2947	51	96	adds	add	VERB
cana-2947	51	97	significant	significant	ADJ
cana-2947	51	98	value	value	NOUN
cana-2947	51	99	by	by	ADP
cana-2947	51	100	providing	provide	VERB
cana-2947	51	101	accurate	accurate	ADJ
cana-2947	51	102	diagnostic	diagnostic	ADJ
cana-2947	51	103	predictions	prediction	NOUN
cana-2947	51	104	based	base	VERB
cana-2947	51	105	on	on	ADP
cana-2947	51	106	the	the	DET
cana-2947	51	107	data	datum	NOUN
cana-2947	51	108	.	.	PUNCT
cana-2947	52	1	ml	ml	AUX
cana-2947	52	2	algorithms	algorithms	PROPN
cana-2947	52	3	analyze	analyze	VERB
cana-2947	52	4	complex	complex	ADJ
cana-2947	52	5	patterns	pattern	NOUN
cana-2947	52	6	in	in	ADP
cana-2947	52	7	physiological	physiological	ADJ
cana-2947	52	8	datasets	dataset	NOUN
cana-2947	52	9	,	,	PUNCT
cana-2947	52	10	identifying	identify	VERB
cana-2947	52	11	early	early	ADJ
cana-2947	52	12	markers	marker	NOUN
cana-2947	52	13	of	of	ADP
cana-2947	52	14	liver	liver	NOUN
cana-2947	52	15	dysfunction	dysfunction	NOUN
cana-2947	52	16	that	that	PRON
cana-2947	52	17	might	might	AUX
cana-2947	52	18	not	not	PART
cana-2947	52	19	be	be	AUX
cana-2947	52	20	evident	evident	ADJ
cana-2947	52	21	through	through	ADP
cana-2947	52	22	traditional	traditional	ADJ
cana-2947	52	23	diagnostic	diagnostic	ADJ
cana-2947	52	24	methods	method	NOUN
cana-2947	52	25	.	.	PUNCT
cana-2947	53	1	supervised	supervise	VERB
cana-2947	53	2	learning	learning	NOUN
cana-2947	53	3	models	model	NOUN
cana-2947	53	4	,	,	PUNCT
cana-2947	53	5	such	such	ADJ
cana-2947	53	6	as	as	ADP
cana-2947	53	7	support	support	NOUN
cana-2947	53	8	vector	vector	NOUN
cana-2947	53	9	machines	machine	NOUN
cana-2947	53	10	(	(	PUNCT
cana-2947	53	11	svm	svm	PROPN
cana-2947	53	12	)	)	PUNCT
cana-2947	53	13	and	and	CCONJ
cana-2947	53	14	random	random	ADJ
cana-2947	53	15	forest	forest	NOUN
cana-2947	53	16	,	,	PUNCT
cana-2947	53	17	have	have	AUX
cana-2947	53	18	been	be	AUX
cana-2947	53	19	widely	widely	ADV
cana-2947	53	20	used	use	VERB
cana-2947	53	21	in	in	ADP
cana-2947	53	22	healthcare	healthcare	NOUN
cana-2947	53	23	for	for	ADP
cana-2947	53	24	classification	classification	NOUN
cana-2947	53	25	tasks	task	NOUN
cana-2947	53	26	.	.	PUNCT
cana-2947	54	1	more	more	ADV
cana-2947	54	2	recently	recently	ADV
cana-2947	54	3	,	,	PUNCT
cana-2947	54	4	deep	deep	ADJ
cana-2947	54	5	learning	learning	NOUN
cana-2947	54	6	models	model	NOUN
cana-2947	54	7	,	,	PUNCT
cana-2947	54	8	such	such	ADJ
cana-2947	54	9	as	as	ADP
cana-2947	54	10	convolutional	convolutional	ADJ
cana-2947	54	11	neural	neural	ADJ
cana-2947	54	12	networks	network	NOUN
cana-2947	54	13	(	(	PUNCT
cana-2947	54	14	cnn	cnn	PROPN
cana-2947	54	15	)	)	PUNCT
cana-2947	54	16	,	,	PUNCT
cana-2947	54	17	have	have	AUX
cana-2947	54	18	gained	gain	VERB
cana-2947	54	19	popularity	popularity	NOUN
cana-2947	54	20	for	for	ADP
cana-2947	54	21	their	their	PRON
cana-2947	54	22	ability	ability	NOUN
cana-2947	54	23	to	to	PART
cana-2947	54	24	process	process	VERB
cana-2947	54	25	high	high	ADJ
cana-2947	54	26	-	-	PUNCT
cana-2947	54	27	dimensional	dimensional	ADJ
cana-2947	54	28	medical	medical	ADJ
cana-2947	54	29	data	datum	NOUN
cana-2947	54	30	,	,	PUNCT
cana-2947	54	31	including	include	VERB
cana-2947	54	32	liver	liver	NOUN
cana-2947	54	33	function	function	NOUN
cana-2947	54	34	tests	test	NOUN
cana-2947	54	35	and	and	CCONJ
cana-2947	54	36	imaging	imaging	NOUN
cana-2947	54	37	results	result	NOUN
cana-2947	54	38	.	.	PUNCT
cana-2947	55	1	communications	communication	NOUN
cana-2947	55	2	on	on	ADP
cana-2947	55	3	applied	apply	VERB
cana-2947	55	4	nonlinear	nonlinear	ADJ
cana-2947	55	5	analysis	analysis	NOUN
cana-2947	55	6	issn	issn	NOUN
cana-2947	55	7	:	:	PUNCT
cana-2947	55	8	1074	1074	NUM
cana-2947	55	9	-	-	PUNCT
cana-2947	55	10	133x	133x	NUM
cana-2947	55	11	vol	vol	NOUN
cana-2947	55	12	32	32	NUM
cana-2947	55	13	no	no	NOUN
cana-2947	55	14	.	.	PUNCT
cana-2947	56	1	5s	5s	NUM
cana-2947	56	2	(	(	PUNCT
cana-2947	56	3	2025	2025	NUM
cana-2947	56	4	)	)	PUNCT
cana-2947	56	5	54	54	NUM
cana-2947	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	56	7	table	table	NOUN
cana-2947	56	8	2	2	NUM
cana-2947	56	9	presents	present	VERB
cana-2947	56	10	a	a	DET
cana-2947	56	11	comparison	comparison	NOUN
cana-2947	56	12	of	of	ADP
cana-2947	56	13	popular	popular	ADJ
cana-2947	56	14	ml	ml	NOUN
cana-2947	56	15	models	model	NOUN
cana-2947	56	16	used	use	VERB
cana-2947	56	17	in	in	ADP
cana-2947	56	18	liver	liver	NOUN
cana-2947	56	19	disease	disease	NOUN
cana-2947	56	20	diagnostics	diagnostic	NOUN
cana-2947	56	21	,	,	PUNCT
cana-2947	56	22	highlighting	highlight	VERB
cana-2947	56	23	their	their	PRON
cana-2947	56	24	respective	respective	ADJ
cana-2947	56	25	strengths	strength	NOUN
cana-2947	56	26	and	and	CCONJ
cana-2947	56	27	limitations	limitation	NOUN
cana-2947	56	28	.	.	PUNCT
cana-2947	57	1	table	table	NOUN
cana-2947	57	2	2	2	NUM
cana-2947	57	3	:	:	PUNCT
cana-2947	57	4	comparison	comparison	NOUN
cana-2947	57	5	of	of	ADP
cana-2947	57	6	ml	ml	NOUN
cana-2947	57	7	models	model	NOUN
cana-2947	57	8	for	for	ADP
cana-2947	57	9	liver	liver	NOUN
cana-2947	57	10	disease	disease	NOUN
cana-2947	57	11	diagnostics	diagnostic	NOUN
cana-2947	57	12	model	model	NOUN
cana-2947	57	13	accuracy	accuracy	NOUN
cana-2947	57	14	(	(	PUNCT
cana-2947	57	15	%	%	INTJ
cana-2947	57	16	)	)	PUNCT
cana-2947	57	17	dataset	dataset	NOUN
cana-2947	57	18	used	use	VERB
cana-2947	57	19	key	key	ADJ
cana-2947	57	20	features	feature	NOUN
cana-2947	57	21	support	support	VERB
cana-2947	57	22	vector	vector	NOUN
cana-2947	57	23	machine	machine	NOUN
cana-2947	57	24	(	(	PUNCT
cana-2947	57	25	svm	svm	PROPN
cana-2947	57	26	)	)	PUNCT
cana-2947	57	27	85.6	85.6	NUM
cana-2947	57	28	uci	uci	PROPN
cana-2947	57	29	liver	liver	NOUN
cana-2947	57	30	dataset	dataset	VERB
cana-2947	57	31	simple	simple	ADJ
cana-2947	57	32	,	,	PUNCT
cana-2947	57	33	interpretable	interpretable	ADJ
cana-2947	57	34	decision	decision	NOUN
cana-2947	57	35	tree[6	tree[6	PUNCT
cana-2947	57	36	]	]	X
cana-2947	57	37	80.3	80.3	NUM
cana-2947	57	38	custom	custom	NOUN
cana-2947	57	39	clinical	clinical	ADJ
cana-2947	57	40	dataset	dataset	NOUN
cana-2947	57	41	fast	fast	ADV
cana-2947	57	42	,	,	PUNCT
cana-2947	57	43	prone	prone	ADJ
cana-2947	57	44	to	to	ADP
cana-2947	57	45	overfitting	overfitte	VERB
cana-2947	57	46	convolutional	convolutional	ADJ
cana-2947	57	47	neural	neural	ADJ
cana-2947	57	48	network	network	NOUN
cana-2947	57	49	(	(	PUNCT
cana-2947	57	50	cnn)[7	cnn)[7	PROPN
cana-2947	57	51	]	]	X
cana-2947	57	52	92.0	92.0	NUM
cana-2947	57	53	liver	liver	NOUN
cana-2947	57	54	biopsy	biopsy	NOUN
cana-2947	57	55	data	data	PROPN
cana-2947	57	56	high	high	ADJ
cana-2947	57	57	accuracy	accuracy	NOUN
cana-2947	57	58	,	,	PUNCT
cana-2947	57	59	computationally	computationally	ADV
cana-2947	57	60	intensive	intensive	ADJ
cana-2947	57	61	random	random	ADJ
cana-2947	57	62	forest[8	forest[8	NOUN
cana-2947	57	63	]	]	X
cana-2947	57	64	88.4	88.4	NUM
cana-2947	57	65	hospital	hospital	NOUN
cana-2947	57	66	emr	emr	PROPN
cana-2947	57	67	data	data	PROPN
cana-2947	57	68	robust	robust	ADJ
cana-2947	57	69	to	to	PART
cana-2947	57	70	noise	noise	VERB
cana-2947	57	71	,	,	PUNCT
cana-2947	57	72	ensemble	ensemble	ADJ
cana-2947	57	73	method	method	NOUN
cana-2947	57	74	despite	despite	SCONJ
cana-2947	57	75	the	the	DET
cana-2947	57	76	potential	potential	NOUN
cana-2947	57	77	of	of	ADP
cana-2947	57	78	iot	iot	NOUN
cana-2947	57	79	and	and	CCONJ
cana-2947	57	80	ml	ml	PROPN
cana-2947	57	81	in	in	ADP
cana-2947	57	82	healthcare	healthcare	PROPN
cana-2947	57	83	,	,	PUNCT
cana-2947	57	84	the	the	DET
cana-2947	57	85	integration	integration	NOUN
cana-2947	57	86	of	of	ADP
cana-2947	57	87	cloud	cloud	NOUN
cana-2947	57	88	computing	computing	NOUN
cana-2947	57	89	into	into	ADP
cana-2947	57	90	these	these	DET
cana-2947	57	91	technologies	technology	NOUN
cana-2947	57	92	significantly	significantly	ADV
cana-2947	57	93	amplifies	amplify	VERB
cana-2947	57	94	their	their	PRON
cana-2947	57	95	capabilities	capability	NOUN
cana-2947	57	96	.	.	PUNCT
cana-2947	58	1	cloud	cloud	NOUN
cana-2947	58	2	platforms	platform	NOUN
cana-2947	58	3	provide	provide	VERB
cana-2947	58	4	centralized	centralized	ADJ
cana-2947	58	5	storage	storage	NOUN
cana-2947	58	6	and	and	CCONJ
cana-2947	58	7	processing	processing	NOUN
cana-2947	58	8	facilities	facility	NOUN
cana-2947	58	9	,	,	PUNCT
cana-2947	58	10	enabling	enable	VERB
cana-2947	58	11	the	the	DET
cana-2947	58	12	analysis	analysis	NOUN
cana-2947	58	13	of	of	ADP
cana-2947	58	14	large	large	ADJ
cana-2947	58	15	datasets	dataset	NOUN
cana-2947	58	16	collected	collect	VERB
cana-2947	58	17	from	from	ADP
cana-2947	58	18	iot	iot	ADJ
cana-2947	58	19	devices[9,10	devices[9,10	PROPN
cana-2947	58	20	]	]	PUNCT
cana-2947	58	21	.	.	PUNCT
cana-2947	59	1	furthermore	furthermore	ADV
cana-2947	59	2	,	,	PUNCT
cana-2947	59	3	cloud	cloud	ADJ
cana-2947	59	4	computing	computing	NOUN
cana-2947	59	5	supports	support	VERB
cana-2947	59	6	real	real	ADJ
cana-2947	59	7	-	-	PUNCT
cana-2947	59	8	time	time	NOUN
cana-2947	59	9	analytics	analytic	NOUN
cana-2947	59	10	,	,	PUNCT
cana-2947	59	11	offering	offer	VERB
cana-2947	59	12	healthcare	healthcare	NOUN
cana-2947	59	13	providers	provider	NOUN
cana-2947	59	14	immediate	immediate	ADJ
cana-2947	59	15	insights	insight	NOUN
cana-2947	59	16	into	into	ADP
cana-2947	59	17	patient	patient	ADJ
cana-2947	59	18	conditions	condition	NOUN
cana-2947	59	19	.	.	PUNCT
cana-2947	60	1	this	this	PRON
cana-2947	60	2	facilitates	facilitate	VERB
cana-2947	60	3	proactive	proactive	ADJ
cana-2947	60	4	decision	decision	NOUN
cana-2947	60	5	-	-	PUNCT
cana-2947	60	6	making	making	NOUN
cana-2947	60	7	,	,	PUNCT
cana-2947	60	8	reducing	reduce	VERB
cana-2947	60	9	the	the	DET
cana-2947	60	10	risks	risk	NOUN
cana-2947	60	11	of	of	ADP
cana-2947	60	12	delayed	delay	VERB
cana-2947	60	13	diagnosis	diagnosis	NOUN
cana-2947	60	14	or	or	CCONJ
cana-2947	60	15	treatment	treatment	NOUN
cana-2947	60	16	.	.	PUNCT
cana-2947	61	1	cloud	cloud	NOUN
cana-2947	61	2	-	-	PUNCT
cana-2947	61	3	based	base	VERB
cana-2947	61	4	systems	system	NOUN
cana-2947	61	5	also	also	ADV
cana-2947	61	6	allow	allow	VERB
cana-2947	61	7	seamless	seamless	ADJ
cana-2947	61	8	data	datum	NOUN
cana-2947	61	9	sharing	share	VERB
cana-2947	61	10	among	among	ADP
cana-2947	61	11	multiple	multiple	ADJ
cana-2947	61	12	stakeholders	stakeholder	NOUN
cana-2947	61	13	,	,	PUNCT
cana-2947	61	14	including	include	VERB
cana-2947	61	15	patients	patient	NOUN
cana-2947	61	16	,	,	PUNCT
cana-2947	61	17	doctors	doctor	NOUN
cana-2947	61	18	,	,	PUNCT
cana-2947	61	19	and	and	CCONJ
cana-2947	61	20	specialists	specialist	NOUN
cana-2947	61	21	,	,	PUNCT
cana-2947	61	22	fostering	foster	VERB
cana-2947	61	23	collaboration	collaboration	NOUN
cana-2947	61	24	and	and	CCONJ
cana-2947	61	25	personalized	personalized	ADJ
cana-2947	61	26	care	care	NOUN
cana-2947	61	27	.	.	PUNCT
cana-2947	62	1	table	table	NOUN
cana-2947	62	2	3	3	NUM
cana-2947	62	3	illustrates	illustrate	VERB
cana-2947	62	4	a	a	DET
cana-2947	62	5	comparison	comparison	NOUN
cana-2947	62	6	of	of	ADP
cana-2947	62	7	prominent	prominent	ADJ
cana-2947	62	8	cloud	cloud	NOUN
cana-2947	62	9	computing	computing	NOUN
cana-2947	62	10	frameworks	framework	NOUN
cana-2947	62	11	used	use	VERB
cana-2947	62	12	in	in	ADP
cana-2947	62	13	healthcare	healthcare	NOUN
cana-2947	62	14	applications	application	NOUN
cana-2947	62	15	,	,	PUNCT
cana-2947	62	16	emphasizing	emphasize	VERB
cana-2947	62	17	their	their	PRON
cana-2947	62	18	storage	storage	NOUN
cana-2947	62	19	types	type	NOUN
cana-2947	62	20	,	,	PUNCT
cana-2947	62	21	processing	processing	NOUN
cana-2947	62	22	speeds	speed	NOUN
cana-2947	62	23	,	,	PUNCT
cana-2947	62	24	and	and	CCONJ
cana-2947	62	25	data	datum	NOUN
cana-2947	62	26	security	security	NOUN
cana-2947	62	27	measures	measure	NOUN
cana-2947	62	28	.	.	PUNCT
cana-2947	63	1	table	table	NOUN
cana-2947	63	2	3	3	NUM
cana-2947	63	3	:	:	PUNCT
cana-2947	63	4	cloud	cloud	ADJ
cana-2947	63	5	frameworks	framework	NOUN
cana-2947	63	6	in	in	ADP
cana-2947	63	7	healthcare	healthcare	NOUN
cana-2947	63	8	applications	application	NOUN
cana-2947	63	9	framework	framework	NOUN
cana-2947	63	10	storage	storage	NOUN
cana-2947	63	11	type	type	NOUN
cana-2947	63	12	processing	processing	NOUN
cana-2947	63	13	speed	speed	NOUN
cana-2947	63	14	data	data	NOUN
cana-2947	63	15	security	security	NOUN
cana-2947	63	16	measures	measure	NOUN
cana-2947	63	17	aws	aws	NOUN
cana-2947	63	18	healthcare	healthcare	PROPN
cana-2947	63	19	cloud	cloud	PROPN
cana-2947	63	20	centralized	centralize	VERB
cana-2947	63	21	high	high	ADJ
cana-2947	63	22	aes-256	aes-256	NOUN
cana-2947	63	23	encryption	encryption	NOUN
cana-2947	63	24	google	google	PROPN
cana-2947	63	25	health	health	PROPN
cana-2947	63	26	cloud	cloud	PROPN
cana-2947	63	27	distributed	distribute	VERB
cana-2947	63	28	moderate	moderate	ADJ
cana-2947	63	29	end	end	NOUN
cana-2947	63	30	-	-	PUNCT
cana-2947	63	31	to	to	ADP
cana-2947	63	32	-	-	PUNCT
cana-2947	63	33	end	end	NOUN
cana-2947	63	34	encryption	encryption	NOUN
cana-2947	63	35	azure	azure	VERB
cana-2947	63	36	iot	iot	PROPN
cana-2947	63	37	health	health	PROPN
cana-2947	63	38	hybrid	hybrid	ADJ
cana-2947	63	39	high	high	ADJ
cana-2947	63	40	multi	multi	ADJ
cana-2947	63	41	-	-	ADJ
cana-2947	63	42	factor	factor	NOUN
cana-2947	63	43	authentication	authentication	NOUN
cana-2947	63	44	however	however	ADV
cana-2947	63	45	,	,	PUNCT
cana-2947	63	46	existing	exist	VERB
cana-2947	63	47	iot	iot	NOUN
cana-2947	63	48	and	and	CCONJ
cana-2947	63	49	cloud	cloud	NOUN
cana-2947	63	50	-	-	PUNCT
cana-2947	63	51	enabled	enable	VERB
cana-2947	63	52	systems	system	NOUN
cana-2947	63	53	for	for	ADP
cana-2947	63	54	liver	liver	NOUN
cana-2947	63	55	disease	disease	NOUN
cana-2947	63	56	detection	detection	NOUN
cana-2947	63	57	face	face	VERB
cana-2947	63	58	several	several	ADJ
cana-2947	63	59	challenges	challenge	NOUN
cana-2947	63	60	.	.	PUNCT
cana-2947	64	1	first	first	ADV
cana-2947	64	2	,	,	PUNCT
cana-2947	64	3	ensuring	ensure	VERB
cana-2947	64	4	the	the	DET
cana-2947	64	5	security	security	NOUN
cana-2947	64	6	and	and	CCONJ
cana-2947	64	7	privacy	privacy	NOUN
cana-2947	64	8	of	of	ADP
cana-2947	64	9	patient	patient	ADJ
cana-2947	64	10	data	datum	NOUN
cana-2947	64	11	is	be	AUX
cana-2947	64	12	critical	critical	ADJ
cana-2947	64	13	.	.	PUNCT
cana-2947	65	1	sensitive	sensitive	ADJ
cana-2947	65	2	healthcare	healthcare	PROPN
cana-2947	65	3	information	information	NOUN
cana-2947	65	4	is	be	AUX
cana-2947	65	5	vulnerable	vulnerable	ADJ
cana-2947	65	6	to	to	ADP
cana-2947	65	7	breaches	breach	NOUN
cana-2947	65	8	during	during	ADP
cana-2947	65	9	transmission	transmission	NOUN
cana-2947	65	10	and	and	CCONJ
cana-2947	65	11	storage[11,12	storage[11,12	PROPN
cana-2947	65	12	]	]	PUNCT
cana-2947	65	13	.	.	PUNCT
cana-2947	66	1	therefore	therefore	ADV
cana-2947	66	2	,	,	PUNCT
cana-2947	66	3	robust	robust	ADJ
cana-2947	66	4	encryption	encryption	NOUN
cana-2947	66	5	and	and	CCONJ
cana-2947	66	6	secure	secure	ADJ
cana-2947	66	7	communication	communication	NOUN
cana-2947	66	8	protocols	protocol	NOUN
cana-2947	66	9	are	be	AUX
cana-2947	66	10	necessary	necessary	ADJ
cana-2947	66	11	.	.	PUNCT
cana-2947	67	1	second	second	ADJ
cana-2947	67	2	,	,	PUNCT
cana-2947	67	3	energy	energy	NOUN
cana-2947	67	4	efficiency	efficiency	NOUN
cana-2947	67	5	is	be	AUX
cana-2947	67	6	a	a	DET
cana-2947	67	7	key	key	ADJ
cana-2947	67	8	concern	concern	NOUN
cana-2947	67	9	,	,	PUNCT
cana-2947	67	10	particularly	particularly	ADV
cana-2947	67	11	for	for	ADP
cana-2947	67	12	wearable	wearable	ADJ
cana-2947	67	13	iot	iot	NOUN
cana-2947	67	14	devices	device	NOUN
cana-2947	67	15	.	.	PUNCT
cana-2947	68	1	prolonged	prolonged	ADJ
cana-2947	68	2	usage	usage	NOUN
cana-2947	68	3	of	of	ADP
cana-2947	68	4	sensors	sensor	NOUN
cana-2947	68	5	often	often	ADV
cana-2947	68	6	leads	lead	VERB
cana-2947	68	7	to	to	ADP
cana-2947	68	8	battery	battery	NOUN
cana-2947	68	9	depletion	depletion	NOUN
cana-2947	68	10	,	,	PUNCT
cana-2947	68	11	limiting	limit	VERB
cana-2947	68	12	their	their	PRON
cana-2947	68	13	usability	usability	NOUN
cana-2947	68	14	in	in	ADP
cana-2947	68	15	remote	remote	ADJ
cana-2947	68	16	areas	area	NOUN
cana-2947	68	17	.	.	PUNCT
cana-2947	69	1	third	third	ADJ
cana-2947	69	2	,	,	PUNCT
cana-2947	69	3	interoperability	interoperability	NOUN
cana-2947	69	4	among	among	ADP
cana-2947	69	5	heterogeneous	heterogeneous	ADJ
cana-2947	69	6	iot	iot	NOUN
cana-2947	69	7	devices	device	NOUN
cana-2947	69	8	remains	remain	VERB
cana-2947	69	9	a	a	DET
cana-2947	69	10	significant	significant	ADJ
cana-2947	69	11	hurdle	hurdle	NOUN
cana-2947	69	12	,	,	PUNCT
cana-2947	69	13	as	as	SCONJ
cana-2947	69	14	many	many	ADJ
cana-2947	69	15	devices	device	NOUN
cana-2947	69	16	operate	operate	VERB
cana-2947	69	17	on	on	ADP
cana-2947	69	18	different	different	ADJ
cana-2947	69	19	protocols	protocol	NOUN
cana-2947	69	20	and	and	CCONJ
cana-2947	69	21	formats	format	NOUN
cana-2947	69	22	,	,	PUNCT
cana-2947	69	23	complicating	complicate	VERB
cana-2947	69	24	integration	integration	NOUN
cana-2947	69	25	and	and	CCONJ
cana-2947	69	26	scalability	scalability	NOUN
cana-2947	69	27	.	.	PUNCT
cana-2947	70	1	finally	finally	ADV
cana-2947	70	2	,	,	PUNCT
cana-2947	70	3	real	real	ADJ
cana-2947	70	4	-	-	PUNCT
cana-2947	70	5	time	time	NOUN
cana-2947	70	6	analytics	analytic	NOUN
cana-2947	70	7	requires	require	VERB
cana-2947	70	8	lightweight	lightweight	ADJ
cana-2947	70	9	ml	ml	NOUN
cana-2947	70	10	models	model	NOUN
cana-2947	70	11	that	that	PRON
cana-2947	70	12	can	can	AUX
cana-2947	70	13	perform	perform	VERB
cana-2947	70	14	efficient	efficient	ADJ
cana-2947	70	15	computations	computation	NOUN
cana-2947	70	16	without	without	ADP
cana-2947	70	17	high	high	ADJ
cana-2947	70	18	computational	computational	ADJ
cana-2947	70	19	overhead	overhead	NOUN
cana-2947	70	20	,	,	PUNCT
cana-2947	70	21	especially	especially	ADV
cana-2947	70	22	in	in	ADP
cana-2947	70	23	resourceconstrained	resourceconstraine	VERB
cana-2947	70	24	environments	environment	NOUN
cana-2947	70	25	.	.	PUNCT
cana-2947	71	1	the	the	DET
cana-2947	71	2	proposed	propose	VERB
cana-2947	71	3	framework	framework	NOUN
cana-2947	71	4	addresses	address	VERB
cana-2947	71	5	these	these	DET
cana-2947	71	6	challenges	challenge	NOUN
cana-2947	71	7	by	by	ADP
cana-2947	71	8	integrating	integrate	VERB
cana-2947	71	9	iot	iot	NOUN
cana-2947	71	10	,	,	PUNCT
cana-2947	71	11	ml	ml	ADP
cana-2947	71	12	,	,	PUNCT
cana-2947	71	13	and	and	CCONJ
cana-2947	71	14	cloud	cloud	NOUN
cana-2947	71	15	computing	computing	NOUN
cana-2947	71	16	into	into	ADP
cana-2947	71	17	a	a	DET
cana-2947	71	18	unified	unified	ADJ
cana-2947	71	19	solution	solution	NOUN
cana-2947	71	20	for	for	ADP
cana-2947	71	21	liver	liver	NOUN
cana-2947	71	22	disease	disease	NOUN
cana-2947	71	23	detection	detection	NOUN
cana-2947	71	24	.	.	PUNCT
cana-2947	72	1	wearable	wearable	ADJ
cana-2947	72	2	sensors	sensor	NOUN
cana-2947	72	3	continuously	continuously	ADV
cana-2947	72	4	monitor	monitor	VERB
cana-2947	72	5	patient	patient	ADJ
cana-2947	72	6	vitals	vital	NOUN
cana-2947	72	7	,	,	PUNCT
cana-2947	72	8	communications	communication	NOUN
cana-2947	72	9	on	on	ADP
cana-2947	72	10	applied	apply	VERB
cana-2947	72	11	nonlinear	nonlinear	ADJ
cana-2947	72	12	analysis	analysis	NOUN
cana-2947	72	13	issn	issn	NOUN
cana-2947	72	14	:	:	PUNCT
cana-2947	72	15	1074	1074	NUM
cana-2947	72	16	-	-	PUNCT
cana-2947	72	17	133x	133x	NUM
cana-2947	72	18	vol	vol	NOUN
cana-2947	72	19	32	32	NUM
cana-2947	72	20	no	no	NOUN
cana-2947	72	21	.	.	PUNCT
cana-2947	73	1	5s	5s	NUM
cana-2947	73	2	(	(	PUNCT
cana-2947	73	3	2025	2025	NUM
cana-2947	73	4	)	)	PUNCT
cana-2947	73	5	55	55	NUM
cana-2947	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	73	7	transmitting	transmit	VERB
cana-2947	73	8	the	the	DET
cana-2947	73	9	data	datum	NOUN
cana-2947	73	10	to	to	ADP
cana-2947	73	11	a	a	DET
cana-2947	73	12	cloud	cloud	ADJ
cana-2947	73	13	server	server	NOUN
cana-2947	73	14	through	through	ADP
cana-2947	73	15	lightweight	lightweight	ADJ
cana-2947	73	16	communication	communication	NOUN
cana-2947	73	17	protocols	protocol	NOUN
cana-2947	73	18	such	such	ADJ
cana-2947	73	19	as	as	ADP
cana-2947	73	20	mqtt	mqtt	NOUN
cana-2947	73	21	.	.	PUNCT
cana-2947	74	1	the	the	DET
cana-2947	74	2	cloud	cloud	NOUN
cana-2947	74	3	platform	platform	NOUN
cana-2947	74	4	processes	process	VERB
cana-2947	74	5	the	the	DET
cana-2947	74	6	data	datum	NOUN
cana-2947	74	7	using	use	VERB
cana-2947	74	8	pre	pre	ADJ
cana-2947	74	9	-	-	ADJ
cana-2947	74	10	trained	train	VERB
cana-2947	74	11	ml	ml	NOUN
cana-2947	74	12	models	model	NOUN
cana-2947	74	13	,	,	PUNCT
cana-2947	74	14	providing	provide	VERB
cana-2947	74	15	real	real	ADJ
cana-2947	74	16	-	-	PUNCT
cana-2947	74	17	time	time	NOUN
cana-2947	74	18	diagnostic	diagnostic	ADJ
cana-2947	74	19	predictions	prediction	NOUN
cana-2947	74	20	with	with	ADP
cana-2947	74	21	high	high	ADJ
cana-2947	74	22	accuracy	accuracy	NOUN
cana-2947	74	23	.	.	PUNCT
cana-2947	75	1	by	by	ADP
cana-2947	75	2	employing	employ	VERB
cana-2947	75	3	secure	secure	ADJ
cana-2947	75	4	data	data	NOUN
cana-2947	75	5	transfer	transfer	NOUN
cana-2947	75	6	mechanisms	mechanism	NOUN
cana-2947	75	7	and	and	CCONJ
cana-2947	75	8	optimizing	optimize	VERB
cana-2947	75	9	energy	energy	NOUN
cana-2947	75	10	consumption	consumption	NOUN
cana-2947	75	11	,	,	PUNCT
cana-2947	75	12	the	the	DET
cana-2947	75	13	framework	framework	NOUN
cana-2947	75	14	ensures	ensure	VERB
cana-2947	75	15	reliability	reliability	NOUN
cana-2947	75	16	and	and	CCONJ
cana-2947	75	17	efficiency	efficiency	NOUN
cana-2947	75	18	.	.	PUNCT
cana-2947	76	1	moreover	moreover	ADV
cana-2947	76	2	,	,	PUNCT
cana-2947	76	3	the	the	DET
cana-2947	76	4	system	system	NOUN
cana-2947	76	5	facilitates	facilitate	VERB
cana-2947	76	6	seamless	seamless	ADJ
cana-2947	76	7	communication	communication	NOUN
cana-2947	76	8	between	between	ADP
cana-2947	76	9	patients	patient	NOUN
cana-2947	76	10	and	and	CCONJ
cana-2947	76	11	healthcare	healthcare	NOUN
cana-2947	76	12	providers	provider	NOUN
cana-2947	76	13	through	through	ADP
cana-2947	76	14	mobile	mobile	ADJ
cana-2947	76	15	applications	application	NOUN
cana-2947	76	16	,	,	PUNCT
cana-2947	76	17	empowering	empower	VERB
cana-2947	76	18	patients	patient	NOUN
cana-2947	76	19	with	with	ADP
cana-2947	76	20	actionable	actionable	ADJ
cana-2947	76	21	insights	insight	NOUN
cana-2947	76	22	into	into	ADP
cana-2947	76	23	their	their	PRON
cana-2947	76	24	health	health	NOUN
cana-2947	76	25	.	.	PUNCT
cana-2947	77	1	in	in	ADP
cana-2947	77	2	conclusion	conclusion	NOUN
cana-2947	77	3	,	,	PUNCT
cana-2947	77	4	the	the	DET
cana-2947	77	5	integration	integration	NOUN
cana-2947	77	6	of	of	ADP
cana-2947	77	7	iot	iot	NOUN
cana-2947	77	8	,	,	PUNCT
cana-2947	77	9	ml	ml	ADP
cana-2947	77	10	,	,	PUNCT
cana-2947	77	11	and	and	CCONJ
cana-2947	77	12	cloud	cloud	NOUN
cana-2947	77	13	technologies	technology	NOUN
cana-2947	77	14	offers	offer	VERB
cana-2947	77	15	a	a	DET
cana-2947	77	16	promising	promising	ADJ
cana-2947	77	17	approach	approach	NOUN
cana-2947	77	18	to	to	ADP
cana-2947	77	19	liver	liver	NOUN
cana-2947	77	20	disease	disease	NOUN
cana-2947	77	21	detection	detection	NOUN
cana-2947	77	22	.	.	PUNCT
cana-2947	78	1	the	the	DET
cana-2947	78	2	proposed	propose	VERB
cana-2947	78	3	framework	framework	NOUN
cana-2947	78	4	addresses	address	NOUN
cana-2947	78	5	critical	critical	ADJ
cana-2947	78	6	gaps	gap	NOUN
cana-2947	78	7	in	in	ADP
cana-2947	78	8	existing	exist	VERB
cana-2947	78	9	systems	system	NOUN
cana-2947	78	10	,	,	PUNCT
cana-2947	78	11	including	include	VERB
cana-2947	78	12	realtime	realtime	NOUN
cana-2947	78	13	data	datum	NOUN
cana-2947	78	14	synchronization	synchronization	NOUN
cana-2947	78	15	,	,	PUNCT
cana-2947	78	16	energy	energy	NOUN
cana-2947	78	17	-	-	PUNCT
cana-2947	78	18	efficient	efficient	ADJ
cana-2947	78	19	designs	design	NOUN
cana-2947	78	20	,	,	PUNCT
cana-2947	78	21	and	and	CCONJ
cana-2947	78	22	robust	robust	ADJ
cana-2947	78	23	security	security	NOUN
cana-2947	78	24	measures	measure	NOUN
cana-2947	78	25	.	.	PUNCT
cana-2947	79	1	by	by	ADP
cana-2947	79	2	leveraging	leverage	VERB
cana-2947	79	3	these	these	DET
cana-2947	79	4	technologies	technology	NOUN
cana-2947	79	5	,	,	PUNCT
cana-2947	79	6	the	the	DET
cana-2947	79	7	framework	framework	NOUN
cana-2947	79	8	has	have	VERB
cana-2947	79	9	the	the	DET
cana-2947	79	10	potential	potential	NOUN
cana-2947	79	11	to	to	PART
cana-2947	79	12	transform	transform	VERB
cana-2947	79	13	liver	liver	NOUN
cana-2947	79	14	disease	disease	NOUN
cana-2947	79	15	diagnostics	diagnostic	NOUN
cana-2947	79	16	,	,	PUNCT
cana-2947	79	17	making	make	VERB
cana-2947	79	18	it	it	PRON
cana-2947	79	19	accessible	accessible	ADJ
cana-2947	79	20	,	,	PUNCT
cana-2947	79	21	scalable	scalable	ADJ
cana-2947	79	22	,	,	PUNCT
cana-2947	79	23	and	and	CCONJ
cana-2947	79	24	patient	patient	NOUN
cana-2947	79	25	-	-	PUNCT
cana-2947	79	26	centric	centric	NOUN
cana-2947	79	27	.	.	PUNCT
cana-2947	80	1	3	3	X
cana-2947	80	2	.	.	NUM
cana-2947	80	3	proposed	propose	VERB
cana-2947	80	4	methodology	methodology	NOUN
cana-2947	80	5	the	the	DET
cana-2947	80	6	proposed	propose	VERB
cana-2947	80	7	methodology	methodology	NOUN
cana-2947	80	8	combines	combine	VERB
cana-2947	80	9	iot	iot	ADJ
cana-2947	80	10	devices	device	NOUN
cana-2947	80	11	,	,	PUNCT
cana-2947	80	12	machine	machine	NOUN
cana-2947	80	13	learning	learning	NOUN
cana-2947	80	14	algorithms	algorithm	NOUN
cana-2947	80	15	,	,	PUNCT
cana-2947	80	16	and	and	CCONJ
cana-2947	80	17	cloud	cloud	NOUN
cana-2947	80	18	computing	computing	NOUN
cana-2947	80	19	into	into	ADP
cana-2947	80	20	a	a	DET
cana-2947	80	21	unified	unified	ADJ
cana-2947	80	22	system	system	NOUN
cana-2947	80	23	to	to	PART
cana-2947	80	24	achieve	achieve	VERB
cana-2947	80	25	efficient	efficient	ADJ
cana-2947	80	26	,	,	PUNCT
cana-2947	80	27	accurate	accurate	ADJ
cana-2947	80	28	,	,	PUNCT
cana-2947	80	29	and	and	CCONJ
cana-2947	80	30	scalable	scalable	ADJ
cana-2947	80	31	liver	liver	NOUN
cana-2947	80	32	disease	disease	NOUN
cana-2947	80	33	detection	detection	NOUN
cana-2947	80	34	.	.	PUNCT
cana-2947	81	1	the	the	DET
cana-2947	81	2	methodology	methodology	NOUN
cana-2947	81	3	is	be	AUX
cana-2947	81	4	divided	divide	VERB
cana-2947	81	5	into	into	ADP
cana-2947	81	6	six	six	NUM
cana-2947	81	7	key	key	ADJ
cana-2947	81	8	parts	part	NOUN
cana-2947	81	9	:	:	PUNCT
cana-2947	81	10	data	datum	NOUN
cana-2947	81	11	acquisition	acquisition	NOUN
cana-2947	81	12	and	and	CCONJ
cana-2947	81	13	iot	iot	ADJ
cana-2947	81	14	device	device	NOUN
cana-2947	81	15	design	design	NOUN
cana-2947	81	16	,	,	PUNCT
cana-2947	81	17	data	data	NOUN
cana-2947	81	18	transmission	transmission	NOUN
cana-2947	81	19	and	and	CCONJ
cana-2947	81	20	cloud	cloud	NOUN
cana-2947	81	21	infrastructure	infrastructure	NOUN
cana-2947	81	22	,	,	PUNCT
cana-2947	81	23	data	datum	NOUN
cana-2947	81	24	preprocessing	preprocessing	NOUN
cana-2947	81	25	,	,	PUNCT
cana-2947	81	26	machine	machine	NOUN
cana-2947	81	27	learning	learning	NOUN
cana-2947	81	28	model	model	NOUN
cana-2947	81	29	design	design	NOUN
cana-2947	81	30	,	,	PUNCT
cana-2947	81	31	real	real	ADJ
cana-2947	81	32	-	-	PUNCT
cana-2947	81	33	time	time	NOUN
cana-2947	81	34	analysis	analysis	NOUN
cana-2947	81	35	and	and	CCONJ
cana-2947	81	36	monitoring	monitoring	NOUN
cana-2947	81	37	,	,	PUNCT
cana-2947	81	38	and	and	CCONJ
cana-2947	81	39	system	system	NOUN
cana-2947	81	40	validation	validation	NOUN
cana-2947	81	41	and	and	CCONJ
cana-2947	81	42	performance	performance	NOUN
cana-2947	81	43	evaluation	evaluation	NOUN
cana-2947	81	44	.	.	PUNCT
cana-2947	82	1	this	this	DET
cana-2947	82	2	response	response	NOUN
cana-2947	82	3	covers	cover	VERB
cana-2947	82	4	the	the	DET
cana-2947	82	5	first	first	ADJ
cana-2947	82	6	two	two	NUM
cana-2947	82	7	parts	part	NOUN
cana-2947	82	8	in	in	ADP
cana-2947	82	9	detail	detail	NOUN
cana-2947	82	10	.	.	PUNCT
cana-2947	83	1	1	1	X
cana-2947	83	2	.	.	X
cana-2947	83	3	data	datum	NOUN
cana-2947	83	4	acquisition	acquisition	NOUN
cana-2947	83	5	and	and	CCONJ
cana-2947	83	6	iot	iot	NOUN
cana-2947	83	7	device	device	NOUN
cana-2947	83	8	design	design	VERB
cana-2947	83	9	the	the	DET
cana-2947	83	10	first	first	ADJ
cana-2947	83	11	step	step	NOUN
cana-2947	83	12	in	in	ADP
cana-2947	83	13	the	the	DET
cana-2947	83	14	framework	framework	NOUN
cana-2947	83	15	involves	involve	VERB
cana-2947	83	16	collecting	collect	VERB
cana-2947	83	17	physiological	physiological	ADJ
cana-2947	83	18	and	and	CCONJ
cana-2947	83	19	biochemical	biochemical	ADJ
cana-2947	83	20	parameters	parameter	NOUN
cana-2947	83	21	indicative	indicative	ADJ
cana-2947	83	22	of	of	ADP
cana-2947	83	23	liver	liver	NOUN
cana-2947	83	24	health	health	NOUN
cana-2947	83	25	.	.	PUNCT
cana-2947	84	1	wearable	wearable	ADJ
cana-2947	84	2	iot	iot	NOUN
cana-2947	84	3	sensors	sensor	NOUN
cana-2947	84	4	are	be	AUX
cana-2947	84	5	designed	design	VERB
cana-2947	84	6	to	to	PART
cana-2947	84	7	measure	measure	VERB
cana-2947	84	8	essential	essential	ADJ
cana-2947	84	9	metrics	metric	NOUN
cana-2947	84	10	such	such	ADJ
cana-2947	84	11	as	as	ADP
cana-2947	84	12	liver	liver	NOUN
cana-2947	84	13	enzyme	enzyme	NOUN
cana-2947	84	14	levels	level	NOUN
cana-2947	84	15	(	(	PUNCT
cana-2947	84	16	alt	alt	ADJ
cana-2947	84	17	,	,	PUNCT
cana-2947	84	18	ast	ast	PROPN
cana-2947	84	19	)	)	PUNCT
cana-2947	84	20	,	,	PUNCT
cana-2947	84	21	bilirubin	bilirubin	NOUN
cana-2947	84	22	concentration	concentration	NOUN
cana-2947	84	23	,	,	PUNCT
cana-2947	84	24	and	and	CCONJ
cana-2947	84	25	heart	heart	NOUN
cana-2947	84	26	rate	rate	NOUN
cana-2947	84	27	.	.	PUNCT
cana-2947	85	1	these	these	DET
cana-2947	85	2	sensors	sensor	NOUN
cana-2947	85	3	interface	interface	VERB
cana-2947	85	4	with	with	ADP
cana-2947	85	5	microcontrollers	microcontroller	NOUN
cana-2947	85	6	(	(	PUNCT
cana-2947	85	7	e.g.	e.g.	ADV
cana-2947	85	8	,	,	PUNCT
cana-2947	85	9	arduino	arduino	NOUN
cana-2947	85	10	or	or	CCONJ
cana-2947	85	11	esp32	esp32	ADJ
cana-2947	85	12	)	)	PUNCT
cana-2947	85	13	for	for	ADP
cana-2947	85	14	data	data	NOUN
cana-2947	85	15	acquisition	acquisition	NOUN
cana-2947	85	16	.	.	PUNCT
cana-2947	86	1	the	the	DET
cana-2947	86	2	design	design	NOUN
cana-2947	86	3	emphasizes	emphasize	VERB
cana-2947	86	4	energy	energy	NOUN
cana-2947	86	5	efficiency	efficiency	NOUN
cana-2947	86	6	to	to	PART
cana-2947	86	7	ensure	ensure	VERB
cana-2947	86	8	prolonged	prolonged	ADJ
cana-2947	86	9	operation	operation	NOUN
cana-2947	86	10	in	in	ADP
cana-2947	86	11	remote	remote	ADJ
cana-2947	86	12	areas	area	NOUN
cana-2947	86	13	.	.	PUNCT
cana-2947	87	1	iot	iot	PROPN
cana-2947	87	2	sensor	sensor	NOUN
cana-2947	87	3	network	network	NOUN
cana-2947	87	4	design	design	VERB
cana-2947	87	5	a	a	DET
cana-2947	87	6	multi	multi	ADJ
cana-2947	87	7	-	-	ADJ
cana-2947	87	8	sensor	sensor	ADJ
cana-2947	87	9	network	network	NOUN
cana-2947	87	10	is	be	AUX
cana-2947	87	11	implemented	implement	VERB
cana-2947	87	12	,	,	PUNCT
cana-2947	87	13	where	where	SCONJ
cana-2947	87	14	each	each	DET
cana-2947	87	15	sensor	sensor	NOUN
cana-2947	87	16	captures	capture	VERB
cana-2947	87	17	a	a	DET
cana-2947	87	18	specific	specific	ADJ
cana-2947	87	19	parameter	parameter	NOUN
cana-2947	87	20	.	.	PUNCT
cana-2947	88	1	the	the	DET
cana-2947	88	2	data	datum	NOUN
cana-2947	88	3	di	di	NOUN
cana-2947	88	4	for	for	ADP
cana-2947	88	5	each	each	DET
cana-2947	88	6	parameter	parameter	NOUN
cana-2947	88	7	i	i	PRON
cana-2947	88	8	is	be	AUX
cana-2947	88	9	sampled	sample	VERB
cana-2947	88	10	at	at	ADP
cana-2947	88	11	regular	regular	ADJ
cana-2947	88	12	intervals	interval	NOUN
cana-2947	88	13	t	t	NOUN
cana-2947	88	14	and	and	CCONJ
cana-2947	88	15	where	where	SCONJ
cana-2947	88	16	n	n	X
cana-2947	88	17	is	be	AUX
cana-2947	88	18	the	the	DET
cana-2947	88	19	total	total	ADJ
cana-2947	88	20	number	number	NOUN
cana-2947	88	21	of	of	ADP
cana-2947	88	22	sensors	sensor	NOUN
cana-2947	88	23	,	,	PUNCT
cana-2947	88	24	and	and	CCONJ
cana-2947	88	25	dn	dn	NOUN
cana-2947	88	26	represents	represent	VERB
cana-2947	88	27	the	the	DET
cana-2947	88	28	value	value	NOUN
cana-2947	88	29	recorded	record	VERB
cana-2947	88	30	by	by	ADP
cana-2947	88	31	the	the	DET
cana-2947	88	32	i	i	PROPN
cana-2947	88	33	-	-	PUNCT
cana-2947	88	34	th	th	VERB
cana-2947	88	35	sensor	sensor	NOUN
cana-2947	88	36	at	at	ADP
cana-2947	88	37	time	time	NOUN
cana-2947	88	38	tn	tn	PROPN
cana-2947	88	39	.	.	PUNCT
cana-2947	88	40	hardware	hardware	NOUN
cana-2947	88	41	configuration	configuration	NOUN
cana-2947	88	42	the	the	DET
cana-2947	88	43	hardware	hardware	NOUN
cana-2947	88	44	design	design	NOUN
cana-2947	88	45	integrates	integrate	VERB
cana-2947	88	46	the	the	DET
cana-2947	88	47	following	follow	VERB
cana-2947	88	48	key	key	ADJ
cana-2947	88	49	components	component	NOUN
cana-2947	88	50	:	:	PUNCT
cana-2947	88	51	•	•	NOUN
cana-2947	88	52	wearable	wearable	ADJ
cana-2947	88	53	sensors	sensor	NOUN
cana-2947	88	54	:	:	PUNCT
cana-2947	88	55	electrochemical	electrochemical	ADJ
cana-2947	88	56	and	and	CCONJ
cana-2947	88	57	optical	optical	ADJ
cana-2947	88	58	sensors	sensor	NOUN
cana-2947	88	59	for	for	ADP
cana-2947	88	60	bilirubin	bilirubin	NOUN
cana-2947	88	61	and	and	CCONJ
cana-2947	88	62	enzyme	enzyme	NOUN
cana-2947	88	63	levels	level	NOUN
cana-2947	88	64	.	.	PUNCT
cana-2947	89	1	•	•	NUM
cana-2947	89	2	microcontroller	microcontroller	NOUN
cana-2947	89	3	:	:	PUNCT
cana-2947	89	4	esp32	esp32	ADV
cana-2947	89	5	for	for	ADP
cana-2947	89	6	low	low	ADJ
cana-2947	89	7	-	-	PUNCT
cana-2947	89	8	power	power	NOUN
cana-2947	89	9	,	,	PUNCT
cana-2947	89	10	bluetooth	bluetooth	NOUN
cana-2947	89	11	-	-	PUNCT
cana-2947	89	12	enabled	enable	VERB
cana-2947	89	13	data	datum	NOUN
cana-2947	89	14	processing	processing	NOUN
cana-2947	89	15	.	.	PUNCT
cana-2947	90	1	•	•	NUM
cana-2947	90	2	power	power	NOUN
cana-2947	90	3	supply	supply	NOUN
cana-2947	90	4	:	:	PUNCT
cana-2947	90	5	lithium	lithium	NOUN
cana-2947	90	6	-	-	PUNCT
cana-2947	90	7	ion	ion	NOUN
cana-2947	90	8	batteries	battery	NOUN
cana-2947	90	9	with	with	ADP
cana-2947	90	10	solar	solar	ADJ
cana-2947	90	11	charging	charging	NOUN
cana-2947	90	12	for	for	ADP
cana-2947	90	13	extended	extended	ADJ
cana-2947	90	14	operation	operation	NOUN
cana-2947	90	15	.	.	PUNCT
cana-2947	91	1	table	table	NOUN
cana-2947	91	2	4	4	NUM
cana-2947	91	3	:	:	PUNCT
cana-2947	91	4	iot	iot	ADJ
cana-2947	91	5	hardware	hardware	NOUN
cana-2947	91	6	specifications	specification	NOUN
cana-2947	91	7	component	component	NOUN
cana-2947	91	8	specification	specification	NOUN
cana-2947	91	9	purpose	purpose	NOUN
cana-2947	91	10	sensor	sensor	NOUN
cana-2947	91	11	(	(	PUNCT
cana-2947	91	12	bilirubin	bilirubin	NOUN
cana-2947	91	13	)	)	PUNCT
cana-2947	91	14	electrochemical	electrochemical	ADJ
cana-2947	91	15	sensor	sensor	NOUN
cana-2947	91	16	measures	measure	VERB
cana-2947	91	17	bilirubin	bilirubin	NOUN
cana-2947	91	18	concentration	concentration	NOUN
cana-2947	91	19	sensor	sensor	NOUN
cana-2947	91	20	(	(	PUNCT
cana-2947	91	21	liver	liver	NOUN
cana-2947	91	22	enzyme	enzyme	NOUN
cana-2947	91	23	)	)	PUNCT
cana-2947	91	24	optical	optical	ADJ
cana-2947	91	25	sensor	sensor	NOUN
cana-2947	91	26	detects	detect	NOUN
cana-2947	91	27	alt	alt	VERB
cana-2947	91	28	and	and	CCONJ
cana-2947	91	29	ast	ast	NOUN
cana-2947	91	30	levels	level	NOUN
cana-2947	91	31	communications	communication	NOUN
cana-2947	91	32	on	on	ADP
cana-2947	91	33	applied	apply	VERB
cana-2947	91	34	nonlinear	nonlinear	ADJ
cana-2947	91	35	analysis	analysis	NOUN
cana-2947	91	36	issn	issn	NOUN
cana-2947	91	37	:	:	PUNCT
cana-2947	91	38	1074	1074	NUM
cana-2947	91	39	-	-	PUNCT
cana-2947	91	40	133x	133x	NUM
cana-2947	91	41	vol	vol	NOUN
cana-2947	91	42	32	32	NUM
cana-2947	91	43	no	no	NOUN
cana-2947	91	44	.	.	PUNCT
cana-2947	92	1	5s	5s	NUM
cana-2947	92	2	(	(	PUNCT
cana-2947	92	3	2025	2025	NUM
cana-2947	92	4	)	)	PUNCT
cana-2947	92	5	56	56	NUM
cana-2947	92	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2947	92	7	component	component	NOUN
cana-2947	92	8	specification	specification	NOUN
cana-2947	92	9	purpose	purpose	NOUN
cana-2947	92	10	microcontroller	microcontroller	NOUN
cana-2947	92	11	esp32	esp32	ADV
cana-2947	92	12	data	datum	NOUN
cana-2947	92	13	acquisition	acquisition	NOUN
cana-2947	92	14	and	and	CCONJ
cana-2947	92	15	transmission	transmission	NOUN
cana-2947	92	16	communication	communication	NOUN
cana-2947	92	17	protocol	protocol	NOUN
cana-2947	92	18	bluetooth	bluetooth	PROPN
cana-2947	92	19	5.0	5.0	NUM
cana-2947	92	20	low	low	ADJ
cana-2947	92	21	-	-	PUNCT
cana-2947	92	22	energy	energy	NOUN
cana-2947	92	23	wireless	wireless	ADJ
cana-2947	92	24	transmission	transmission	NOUN
cana-2947	92	25	power	power	NOUN
cana-2947	92	26	supply	supply	NOUN
cana-2947	92	27	3.7v	3.7v	NUM
cana-2947	92	28	lithium	lithium	NOUN
cana-2947	92	29	-	-	PUNCT
cana-2947	92	30	ion	ion	NOUN
cana-2947	92	31	battery	battery	NOUN
cana-2947	92	32	provides	provide	VERB
cana-2947	92	33	energy	energy	NOUN
cana-2947	92	34	to	to	ADP
cana-2947	92	35	the	the	DET
cana-2947	92	36	device	device	NOUN
cana-2947	92	37	sensor	sensor	NOUN
cana-2947	92	38	calibration	calibration	NOUN
cana-2947	92	39	accurate	accurate	ADJ
cana-2947	92	40	sensor	sensor	NOUN
cana-2947	92	41	readings	reading	NOUN
cana-2947	92	42	are	be	AUX
cana-2947	92	43	critical	critical	ADJ
cana-2947	92	44	for	for	ADP
cana-2947	92	45	reliable	reliable	ADJ
cana-2947	92	46	diagnosis	diagnosis	NOUN
cana-2947	92	47	.	.	PUNCT
cana-2947	93	1	each	each	DET
cana-2947	93	2	sensor	sensor	NOUN
cana-2947	93	3	is	be	AUX
cana-2947	93	4	calibrated	calibrate	VERB
cana-2947	93	5	using	use	VERB
cana-2947	93	6	reference	reference	NOUN
cana-2947	93	7	solutions	solution	NOUN
cana-2947	93	8	,	,	PUNCT
cana-2947	93	9	and	and	CCONJ
cana-2947	93	10	the	the	DET
cana-2947	93	11	calibration	calibration	NOUN
cana-2947	93	12	equation	equation	NOUN
cana-2947	93	13	is	be	AUX
cana-2947	93	14	derived	derive	VERB
cana-2947	93	15	as	as	ADP
cana-2947	93	16	:	:	PUNCT
cana-2947	93	17	scalibrated	scalibrate	VERB
cana-2947	93	18	=	=	PUNCT
cana-2947	93	19	αsraw	αsraw	VERB
cana-2947	94	1	+	+	X
cana-2947	94	2	β	β	VERB
cana-2947	94	3	where	where	SCONJ
cana-2947	94	4	sraw	sraw	NOUN
cana-2947	94	5	is	be	AUX
cana-2947	94	6	the	the	DET
cana-2947	94	7	raw	raw	ADJ
cana-2947	94	8	sensor	sensor	NOUN
cana-2947	94	9	reading	reading	NOUN
cana-2947	94	10	,	,	PUNCT
cana-2947	94	11	and	and	CCONJ
cana-2947	94	12	α	α	X
cana-2947	94	13	,	,	PUNCT
cana-2947	94	14	β	β	X
cana-2947	94	15	are	be	AUX
cana-2947	94	16	calibration	calibration	NOUN
cana-2947	94	17	constants	constant	NOUN
cana-2947	94	18	determined	determine	VERB
cana-2947	94	19	experimentally	experimentally	ADV
cana-2947	94	20	.	.	PUNCT
cana-2947	95	1	algorithm	algorithm	NOUN
cana-2947	95	2	1	1	NUM
cana-2947	95	3	:	:	PUNCT
cana-2947	95	4	data	datum	NOUN
cana-2947	95	5	acquisition	acquisition	NOUN
cana-2947	95	6	and	and	CCONJ
cana-2947	95	7	iot	iot	NOUN
cana-2947	95	8	device	device	NOUN
cana-2947	95	9	operation	operation	NOUN
cana-2947	95	10	1	1	NUM
cana-2947	95	11	.	.	PUNCT
cana-2947	95	12	initialize	initialize	VERB
cana-2947	95	13	sensors	sensor	NOUN
cana-2947	95	14	and	and	CCONJ
cana-2947	95	15	microcontroller	microcontroller	NOUN
cana-2947	95	16	:	:	PUNCT
cana-2947	95	17	o	o	NOUN
cana-2947	95	18	begin	begin	VERB
cana-2947	95	19	data	datum	NOUN
cana-2947	95	20	sampling	sample	VERB
cana-2947	95	21	at	at	ADP
cana-2947	95	22	t0	t0	NOUN
cana-2947	95	23	.	.	PUNCT
cana-2947	96	1	2	2	X
cana-2947	96	2	.	.	PUNCT
cana-2947	96	3	acquire	acquire	NOUN
cana-2947	96	4	sensor	sensor	NOUN
cana-2947	96	5	data	datum	NOUN
cana-2947	96	6	:	:	PUNCT
cana-2947	96	7	o	o	NOUN
cana-2947	96	8	for	for	ADP
cana-2947	96	9	each	each	DET
cana-2947	96	10	sensor	sensor	NOUN
cana-2947	96	11	i	i	PRON
cana-2947	96	12	∈	∈	VERB
cana-2947	97	1	[	[	X
cana-2947	97	2	1,n	1,n	NUM
cana-2947	97	3	]	]	NOUN
cana-2947	97	4	:	:	PUNCT
cana-2947	97	5	di(t	di(t	X
cana-2947	97	6	)	)	PUNCT
cana-2947	97	7	←	←	PROPN
cana-2947	97	8	read	read	VERB
cana-2947	97	9	sensor(t	sensor(t	NOUN
cana-2947	97	10	)	)	PUNCT
cana-2947	97	11	.	.	PUNCT
cana-2947	98	1	3	3	X
cana-2947	98	2	.	.	X
cana-2947	98	3	preprocess	preprocess	NOUN
cana-2947	98	4	data	datum	NOUN
cana-2947	98	5	:	:	PUNCT
cana-2947	98	6	o	o	NOUN
cana-2947	98	7	apply	apply	VERB
cana-2947	98	8	calibration	calibration	NOUN
cana-2947	98	9	:	:	PUNCT
cana-2947	98	10	di(t	di(t	X
cana-2947	98	11	)	)	PUNCT
cana-2947	98	12	←	←	PROPN
cana-2947	98	13	αidraw(t	αidraw(t	PROPN
cana-2947	98	14	)	)	PUNCT
cana-2947	98	15	+	+	NUM
cana-2947	98	16	β	β	X
cana-2947	98	17	i	i	PRON
cana-2947	98	18	.	.	PUNCT
cana-2947	99	1	4	4	X
cana-2947	99	2	.	.	X
cana-2947	99	3	store	store	NOUN
cana-2947	99	4	and	and	CCONJ
cana-2947	99	5	transmit	transmit	VERB
cana-2947	99	6	data	datum	NOUN
cana-2947	99	7	:	:	PUNCT
cana-2947	99	8	o	o	NOUN
cana-2947	99	9	transmit	transmit	NOUN
cana-2947	99	10	di(t	di(t	NOUN
cana-2947	99	11	)	)	PUNCT
cana-2947	99	12	to	to	ADP
cana-2947	99	13	the	the	DET
cana-2947	99	14	cloud	cloud	NOUN
cana-2947	99	15	via	via	ADP
cana-2947	99	16	bluetooth	bluetooth	PROPN
cana-2947	99	17	or	or	CCONJ
cana-2947	99	18	mqtt	mqtt	VERB
cana-2947	99	19	protocol	protocol	NOUN
cana-2947	99	20	.	.	PUNCT
cana-2947	100	1	5	5	X
cana-2947	100	2	.	.	X
cana-2947	100	3	repeat	repeat	NOUN
cana-2947	100	4	:	:	PUNCT
cana-2947	100	5	o	o	NOUN
cana-2947	100	6	loop	loop	NOUN
cana-2947	100	7	every	every	DET
cana-2947	100	8	sampling	sampling	NOUN
cana-2947	100	9	interval	interval	NOUN
cana-2947	100	10	ts	ts	NOUN
cana-2947	100	11	.	.	PROPN
cana-2947	101	1	2	2	X
cana-2947	101	2	.	.	X
cana-2947	101	3	data	datum	NOUN
cana-2947	101	4	transmission	transmission	NOUN
cana-2947	101	5	and	and	CCONJ
cana-2947	101	6	cloud	cloud	NOUN
cana-2947	101	7	infrastructure	infrastructure	NOUN
cana-2947	101	8	the	the	DET
cana-2947	101	9	acquired	acquire	VERB
cana-2947	101	10	sensor	sensor	NOUN
cana-2947	101	11	data	datum	NOUN
cana-2947	101	12	are	be	AUX
cana-2947	101	13	transmitted	transmit	VERB
cana-2947	101	14	to	to	ADP
cana-2947	101	15	a	a	DET
cana-2947	101	16	cloud	cloud	NOUN
cana-2947	101	17	-	-	PUNCT
cana-2947	101	18	based	base	VERB
cana-2947	101	19	server	server	NOUN
cana-2947	101	20	for	for	ADP
cana-2947	101	21	centralized	centralized	ADJ
cana-2947	101	22	storage	storage	NOUN
cana-2947	101	23	and	and	CCONJ
cana-2947	101	24	analysis	analysis	NOUN
cana-2947	101	25	.	.	PUNCT
cana-2947	102	1	the	the	DET
cana-2947	102	2	cloud	cloud	NOUN
cana-2947	102	3	infrastructure	infrastructure	NOUN
cana-2947	102	4	ensures	ensure	VERB
cana-2947	102	5	scalable	scalable	ADJ
cana-2947	102	6	data	datum	NOUN
cana-2947	102	7	management	management	NOUN
cana-2947	102	8	and	and	CCONJ
cana-2947	102	9	supports	support	VERB
cana-2947	102	10	real	real	ADJ
cana-2947	102	11	-	-	PUNCT
cana-2947	102	12	time	time	NOUN
cana-2947	102	13	analytics	analytic	NOUN
cana-2947	102	14	using	use	VERB
cana-2947	102	15	machine	machine	NOUN
cana-2947	102	16	learning	learning	NOUN
cana-2947	102	17	algorithms	algorithm	NOUN
cana-2947	102	18	.	.	PUNCT
cana-2947	103	1	data	data	NOUN
cana-2947	103	2	transmission	transmission	NOUN
cana-2947	103	3	protocol	protocol	NOUN
cana-2947	103	4	data	datum	NOUN
cana-2947	103	5	collected	collect	VERB
cana-2947	103	6	by	by	ADP
cana-2947	103	7	iot	iot	ADJ
cana-2947	103	8	devices	device	NOUN
cana-2947	103	9	are	be	AUX
cana-2947	103	10	transmitted	transmit	VERB
cana-2947	103	11	via	via	ADP
cana-2947	103	12	lightweight	lightweight	ADJ
cana-2947	103	13	communication	communication	NOUN
cana-2947	103	14	protocols	protocol	NOUN
cana-2947	103	15	such	such	ADJ
cana-2947	103	16	as	as	ADP
cana-2947	103	17	mqtt	mqtt	NOUN
cana-2947	103	18	.	.	PUNCT
cana-2947	104	1	mqtt	mqtt	PROPN
cana-2947	104	2	is	be	AUX
cana-2947	104	3	chosen	choose	VERB
cana-2947	104	4	for	for	ADP
cana-2947	104	5	its	its	PRON
cana-2947	104	6	efficiency	efficiency	NOUN
cana-2947	104	7	in	in	ADP
cana-2947	104	8	low	low	ADJ
cana-2947	104	9	-	-	PUNCT
cana-2947	104	10	bandwidth	bandwidth	ADJ
cana-2947	104	11	networks	network	NOUN
cana-2947	104	12	,	,	PUNCT
cana-2947	104	13	ensuring	ensure	VERB
cana-2947	104	14	minimal	minimal	ADJ
cana-2947	104	15	latency	latency	NOUN
cana-2947	104	16	and	and	CCONJ
cana-2947	104	17	energy	energy	NOUN
cana-2947	104	18	consumption	consumption	NOUN
cana-2947	104	19	.	.	PUNCT
cana-2947	105	1	the	the	DET
cana-2947	105	2	data	data	NOUN
cana-2947	105	3	packet	packet	NOUN
cana-2947	105	4	structure	structure	NOUN
cana-2947	105	5	is	be	AUX
cana-2947	105	6	defined	define	VERB
cana-2947	105	7	as	as	ADP
cana-2947	105	8	:	:	PUNCT
cana-2947	105	9	packett	packett	NOUN
cana-2947	105	10	=	=	SYM
cana-2947	105	11	{	{	PUNCT
cana-2947	105	12	deviceid	deviceid	NOUN
cana-2947	105	13	,	,	PUNCT
cana-2947	105	14	timestamp	timestamp	NOUN
cana-2947	105	15	,	,	PUNCT
cana-2947	105	16	{	{	PUNCT
cana-2947	105	17	d1,d2	d1,d2	PROPN
cana-2947	105	18	,	,	PUNCT
cana-2947	105	19	…	…	PUNCT
cana-2947	105	20	,	,	PUNCT
cana-2947	105	21	dn	dn	PROPN
cana-2947	105	22	}	}	PUNCT
cana-2947	105	23	}	}	PUNCT
cana-2947	105	24	each	each	DET
cana-2947	105	25	packet	packet	NOUN
cana-2947	105	26	contains	contain	VERB
cana-2947	105	27	the	the	DET
cana-2947	105	28	unique	unique	ADJ
cana-2947	105	29	device	device	NOUN
cana-2947	105	30	identifier	identifier	NOUN
cana-2947	105	31	,	,	PUNCT
cana-2947	105	32	timestamp	timestamp	NOUN
cana-2947	105	33	,	,	PUNCT
cana-2947	105	34	and	and	CCONJ
cana-2947	105	35	the	the	DET
cana-2947	105	36	sensor	sensor	NOUN
cana-2947	105	37	readings	reading	VERB
cana-2947	105	38	.	.	PUNCT
cana-2947	106	1	communications	communication	NOUN
cana-2947	106	2	on	on	ADP
cana-2947	106	3	applied	apply	VERB
cana-2947	106	4	nonlinear	nonlinear	ADJ
cana-2947	106	5	analysis	analysis	NOUN
cana-2947	106	6	issn	issn	NOUN
cana-2947	106	7	:	:	PUNCT
cana-2947	106	8	1074	1074	NUM
cana-2947	106	9	-	-	PUNCT
cana-2947	106	10	133x	133x	NUM
cana-2947	106	11	vol	vol	NOUN
cana-2947	106	12	32	32	NUM
cana-2947	106	13	no	no	NOUN
cana-2947	106	14	.	.	PUNCT
cana-2947	107	1	5s	5s	NUM
cana-2947	107	2	(	(	PUNCT
cana-2947	107	3	2025	2025	NUM
cana-2947	107	4	)	)	PUNCT
cana-2947	108	1	57	57	NUM
cana-2947	108	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	108	3	cloud	cloud	NOUN
cana-2947	108	4	architecture	architecture	NOUN
cana-2947	108	5	the	the	DET
cana-2947	108	6	cloud	cloud	NOUN
cana-2947	108	7	system	system	NOUN
cana-2947	108	8	consists	consist	VERB
cana-2947	108	9	of	of	ADP
cana-2947	108	10	three	three	NUM
cana-2947	108	11	layers	layer	NOUN
cana-2947	108	12	:	:	PUNCT
cana-2947	108	13	1	1	X
cana-2947	108	14	.	.	X
cana-2947	108	15	data	datum	NOUN
cana-2947	108	16	ingestion	ingestion	NOUN
cana-2947	108	17	layer	layer	NOUN
cana-2947	108	18	:	:	PUNCT
cana-2947	108	19	receives	receive	VERB
cana-2947	108	20	sensor	sensor	NOUN
cana-2947	108	21	data	datum	NOUN
cana-2947	108	22	packets	packet	NOUN
cana-2947	108	23	through	through	ADP
cana-2947	108	24	mqtt	mqtt	NOUN
cana-2947	108	25	brokers	broker	NOUN
cana-2947	108	26	.	.	PUNCT
cana-2947	109	1	2	2	X
cana-2947	109	2	.	.	X
cana-2947	109	3	data	datum	NOUN
cana-2947	109	4	storage	storage	NOUN
cana-2947	109	5	layer	layer	NOUN
cana-2947	109	6	:	:	PUNCT
cana-2947	109	7	utilizes	utilize	VERB
cana-2947	109	8	nosql	nosql	ADJ
cana-2947	109	9	databases	database	NOUN
cana-2947	109	10	(	(	PUNCT
cana-2947	109	11	e.g.	e.g.	ADV
cana-2947	109	12	,	,	PUNCT
cana-2947	109	13	mongodb	mongodb	NOUN
cana-2947	109	14	)	)	PUNCT
cana-2947	109	15	to	to	PART
cana-2947	109	16	store	store	VERB
cana-2947	109	17	the	the	DET
cana-2947	109	18	time	time	NOUN
cana-2947	109	19	-	-	PUNCT
cana-2947	109	20	series	series	NOUN
cana-2947	109	21	data	datum	NOUN
cana-2947	109	22	efficiently	efficiently	ADV
cana-2947	109	23	.	.	PUNCT
cana-2947	110	1	3	3	X
cana-2947	110	2	.	.	X
cana-2947	110	3	processing	processing	NOUN
cana-2947	110	4	layer	layer	NOUN
cana-2947	110	5	:	:	PUNCT
cana-2947	110	6	applies	apply	VERB
cana-2947	110	7	ml	ml	ADP
cana-2947	110	8	models	model	NOUN
cana-2947	110	9	to	to	PART
cana-2947	110	10	analyze	analyze	VERB
cana-2947	110	11	incoming	incoming	ADJ
cana-2947	110	12	data	datum	NOUN
cana-2947	110	13	and	and	CCONJ
cana-2947	110	14	generate	generate	VERB
cana-2947	110	15	diagnostic	diagnostic	ADJ
cana-2947	110	16	results	result	NOUN
cana-2947	110	17	.	.	PUNCT
cana-2947	111	1	the	the	DET
cana-2947	111	2	architecture	architecture	NOUN
cana-2947	111	3	is	be	AUX
cana-2947	111	4	shown	show	VERB
cana-2947	111	5	in	in	ADP
cana-2947	111	6	figure	figure	NOUN
cana-2947	111	7	1	1	NUM
cana-2947	111	8	.	.	PUNCT
cana-2947	112	1	figure	figure	NOUN
cana-2947	112	2	1	1	NUM
cana-2947	112	3	:	:	PUNCT
cana-2947	112	4	cloud	cloud	NOUN
cana-2947	112	5	-	-	PUNCT
cana-2947	112	6	based	base	VERB
cana-2947	112	7	data	datum	NOUN
cana-2947	112	8	flow	flow	NOUN
cana-2947	112	9	architecture	architecture	NOUN
cana-2947	112	10	data	datum	NOUN
cana-2947	112	11	packets	packet	NOUN
cana-2947	112	12	from	from	ADP
cana-2947	112	13	iot	iot	NOUN
cana-2947	112	14	devices	device	NOUN
cana-2947	112	15	are	be	AUX
cana-2947	112	16	transmitted	transmit	VERB
cana-2947	112	17	to	to	ADP
cana-2947	112	18	the	the	DET
cana-2947	112	19	cloud	cloud	NOUN
cana-2947	112	20	,	,	PUNCT
cana-2947	112	21	where	where	SCONJ
cana-2947	112	22	they	they	PRON
cana-2947	112	23	are	be	AUX
cana-2947	112	24	processed	process	VERB
cana-2947	112	25	for	for	ADP
cana-2947	112	26	storage	storage	NOUN
cana-2947	112	27	and	and	CCONJ
cana-2947	112	28	diagnostic	diagnostic	ADJ
cana-2947	112	29	analysis	analysis	NOUN
cana-2947	112	30	using	use	VERB
cana-2947	112	31	machine	machine	NOUN
cana-2947	112	32	learning	learning	NOUN
cana-2947	112	33	models	model	NOUN
cana-2947	112	34	.	.	PUNCT
cana-2947	113	1	secure	secure	ADJ
cana-2947	113	2	data	datum	NOUN
cana-2947	113	3	transmission	transmission	NOUN
cana-2947	113	4	ensuring	ensure	VERB
cana-2947	113	5	data	datum	NOUN
cana-2947	113	6	security	security	NOUN
cana-2947	113	7	is	be	AUX
cana-2947	113	8	critical	critical	ADJ
cana-2947	113	9	in	in	ADP
cana-2947	113	10	healthcare	healthcare	NOUN
cana-2947	113	11	applications	application	NOUN
cana-2947	113	12	.	.	PUNCT
cana-2947	114	1	the	the	DET
cana-2947	114	2	proposed	propose	VERB
cana-2947	114	3	system	system	NOUN
cana-2947	114	4	uses	use	VERB
cana-2947	114	5	aes-256	aes-256	PROPN
cana-2947	114	6	encryption	encryption	NOUN
cana-2947	114	7	for	for	ADP
cana-2947	114	8	securing	secure	VERB
cana-2947	114	9	data	data	NOUN
cana-2947	114	10	packets	packet	NOUN
cana-2947	114	11	during	during	ADP
cana-2947	114	12	transmission	transmission	NOUN
cana-2947	114	13	.	.	PUNCT
cana-2947	115	1	the	the	DET
cana-2947	115	2	encrypted	encrypt	VERB
cana-2947	115	3	data	data	NOUN
cana-2947	115	4	packet	packet	NOUN
cana-2947	115	5	is	be	AUX
cana-2947	115	6	represented	represent	VERB
cana-2947	115	7	as	as	ADP
cana-2947	115	8	:	:	PUNCT
cana-2947	115	9	encrypted	encrypt	VERB
cana-2947	115	10	packet	packet	NOUN
cana-2947	115	11	t	t	NOUN
cana-2947	115	12	=	=	SYM
cana-2947	115	13	eaes(packett	eaes(packett	PROPN
cana-2947	115	14	,	,	PUNCT
cana-2947	115	15	k	k	NOUN
cana-2947	115	16	)	)	PUNCT
cana-2947	115	17	where	where	SCONJ
cana-2947	115	18	k	k	PROPN
cana-2947	115	19	is	be	AUX
cana-2947	115	20	the	the	DET
cana-2947	115	21	encryption	encryption	NOUN
cana-2947	115	22	key	key	NOUN
cana-2947	115	23	managed	manage	VERB
cana-2947	115	24	by	by	ADP
cana-2947	115	25	the	the	DET
cana-2947	115	26	cloud	cloud	PROPN
cana-2947	115	27	server	server	NOUN
cana-2947	115	28	.	.	PUNCT
cana-2947	115	29	table	table	NOUN
cana-2947	115	30	5	5	NUM
cana-2947	115	31	:	:	PUNCT
cana-2947	115	32	comparison	comparison	NOUN
cana-2947	115	33	of	of	ADP
cana-2947	115	34	communication	communication	NOUN
cana-2947	115	35	protocols	protocol	NOUN
cana-2947	115	36	protocol	protocol	PROPN
cana-2947	115	37	latency	latency	NOUN
cana-2947	115	38	energy	energy	NOUN
cana-2947	115	39	efficiency	efficiency	NOUN
cana-2947	115	40	scalability	scalability	NOUN
cana-2947	115	41	bluetooth	bluetooth	PROPN
cana-2947	115	42	5.0	5.0	NUM
cana-2947	115	43	low	low	ADJ
cana-2947	115	44	high	high	ADJ
cana-2947	115	45	moderate	moderate	ADJ
cana-2947	115	46	zigbee	zigbee	PROPN
cana-2947	115	47	moderate	moderate	ADJ
cana-2947	115	48	very	very	ADV
cana-2947	115	49	high	high	ADJ
cana-2947	115	50	low	low	ADJ
cana-2947	115	51	mqtt	mqtt	NOUN
cana-2947	115	52	very	very	ADV
cana-2947	115	53	low	low	ADJ
cana-2947	115	54	high	high	ADJ
cana-2947	115	55	high	high	ADJ
cana-2947	115	56	transmission	transmission	NOUN
cana-2947	115	57	optimization	optimization	NOUN
cana-2947	115	58	to	to	PART
cana-2947	115	59	minimize	minimize	VERB
cana-2947	115	60	latency	latency	NOUN
cana-2947	115	61	,	,	PUNCT
cana-2947	115	62	adaptive	adaptive	ADJ
cana-2947	115	63	data	data	NOUN
cana-2947	115	64	transmission	transmission	NOUN
cana-2947	115	65	intervals	interval	NOUN
cana-2947	115	66	are	be	AUX
cana-2947	115	67	employed	employ	VERB
cana-2947	115	68	.	.	PUNCT
cana-2947	116	1	for	for	ADP
cana-2947	116	2	critical	critical	ADJ
cana-2947	116	3	readings	reading	NOUN
cana-2947	116	4	exceeding	exceed	VERB
cana-2947	116	5	predefined	predefine	VERB
cana-2947	116	6	thresholds	threshold	NOUN
cana-2947	116	7	,	,	PUNCT
cana-2947	116	8	the	the	DET
cana-2947	116	9	system	system	NOUN
cana-2947	116	10	immediately	immediately	ADV
cana-2947	116	11	transmits	transmit	VERB
cana-2947	116	12	an	an	DET
cana-2947	116	13	alert	alert	ADJ
cana-2947	116	14	packet	packet	NOUN
cana-2947	116	15	:	:	PUNCT
cana-2947	116	16	communications	communication	NOUN
cana-2947	116	17	on	on	ADP
cana-2947	116	18	applied	apply	VERB
cana-2947	116	19	nonlinear	nonlinear	ADJ
cana-2947	116	20	analysis	analysis	NOUN
cana-2947	116	21	issn	issn	NOUN
cana-2947	116	22	:	:	PUNCT
cana-2947	116	23	1074	1074	NUM
cana-2947	116	24	-	-	PUNCT
cana-2947	116	25	133x	133x	NUM
cana-2947	116	26	vol	vol	NOUN
cana-2947	116	27	32	32	NUM
cana-2947	116	28	no	no	NOUN
cana-2947	116	29	.	.	PUNCT
cana-2947	117	1	5s	5s	NUM
cana-2947	117	2	(	(	PUNCT
cana-2947	117	3	2025	2025	NUM
cana-2947	117	4	)	)	PUNCT
cana-2947	117	5	58	58	NUM
cana-2947	118	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2947	118	2	alert	alert	NOUN
cana-2947	118	3	packet	packet	NOUN
cana-2947	118	4	=	=	PUNCT
cana-2947	118	5	{	{	PUNCT
cana-2947	118	6	deviceid	deviceid	NOUN
cana-2947	118	7	,	,	PUNCT
cana-2947	118	8	timestamp	timestamp	NOUN
cana-2947	118	9	,	,	PUNCT
cana-2947	118	10	critical	critical	ADJ
cana-2947	118	11	value	value	NOUN
cana-2947	118	12	}	}	PUNCT
cana-2947	118	13	this	this	PRON
cana-2947	118	14	ensures	ensure	VERB
cana-2947	118	15	timely	timely	ADJ
cana-2947	118	16	intervention	intervention	NOUN
cana-2947	118	17	for	for	ADP
cana-2947	118	18	abnormal	abnormal	ADJ
cana-2947	118	19	liver	liver	NOUN
cana-2947	118	20	function	function	NOUN
cana-2947	118	21	readings	reading	NOUN
cana-2947	118	22	.	.	PUNCT
cana-2947	119	1	the	the	DET
cana-2947	119	2	network	network	NOUN
cana-2947	119	3	bandwidth	bandwidth	NOUN
cana-2947	119	4	b	b	NOUN
cana-2947	119	5	utilized	utilize	VERB
cana-2947	119	6	during	during	ADP
cana-2947	119	7	data	data	NOUN
cana-2947	119	8	transmission	transmission	NOUN
cana-2947	119	9	is	be	AUX
cana-2947	119	10	computed	compute	VERB
cana-2947	119	11	as	as	ADP
cana-2947	119	12	:	:	PUNCT
cana-2947	119	13	b	b	X
cana-2947	119	14	=	=	SYM
cana-2947	119	15	packet	packet	NOUN
cana-2947	119	16	size	size	NOUN
cana-2947	119	17	×	×	NOUN
cana-2947	119	18	transmission	transmission	NOUN
cana-2947	119	19	rate	rate	NOUN
cana-2947	119	20	available	available	ADJ
cana-2947	119	21	bandwidth	bandwidth	NOUN
cana-2947	119	22	this	this	DET
cana-2947	119	23	equation	equation	NOUN
cana-2947	119	24	aids	aid	NOUN
cana-2947	119	25	in	in	ADP
cana-2947	119	26	optimizing	optimize	VERB
cana-2947	119	27	data	data	NOUN
cana-2947	119	28	transmission	transmission	NOUN
cana-2947	119	29	strategies	strategy	NOUN
cana-2947	119	30	,	,	PUNCT
cana-2947	119	31	ensuring	ensure	VERB
cana-2947	119	32	that	that	SCONJ
cana-2947	119	33	bandwidth	bandwidth	ADJ
cana-2947	119	34	constraints	constraint	NOUN
cana-2947	119	35	do	do	AUX
cana-2947	119	36	not	not	PART
cana-2947	119	37	compromise	compromise	VERB
cana-2947	119	38	system	system	NOUN
cana-2947	119	39	performance	performance	NOUN
cana-2947	119	40	.	.	PUNCT
cana-2947	120	1	3	3	X
cana-2947	120	2	.	.	X
cana-2947	120	3	data	datum	NOUN
cana-2947	120	4	preprocessing	preprocesse	VERB
cana-2947	120	5	once	once	ADV
cana-2947	120	6	sensor	sensor	NOUN
cana-2947	120	7	data	datum	NOUN
cana-2947	120	8	is	be	AUX
cana-2947	120	9	transmitted	transmit	VERB
cana-2947	120	10	to	to	ADP
cana-2947	120	11	the	the	DET
cana-2947	120	12	cloud	cloud	NOUN
cana-2947	120	13	,	,	PUNCT
cana-2947	120	14	it	it	PRON
cana-2947	120	15	undergoes	undergo	VERB
cana-2947	120	16	preprocessing	preprocesse	VERB
cana-2947	120	17	to	to	PART
cana-2947	120	18	ensure	ensure	VERB
cana-2947	120	19	consistency	consistency	NOUN
cana-2947	120	20	,	,	PUNCT
cana-2947	120	21	accuracy	accuracy	NOUN
cana-2947	120	22	,	,	PUNCT
cana-2947	120	23	and	and	CCONJ
cana-2947	120	24	usability	usability	NOUN
cana-2947	120	25	for	for	ADP
cana-2947	120	26	machine	machine	NOUN
cana-2947	120	27	learning	learning	NOUN
cana-2947	120	28	models	model	NOUN
cana-2947	120	29	.	.	PUNCT
cana-2947	121	1	raw	raw	ADJ
cana-2947	121	2	data	datum	NOUN
cana-2947	121	3	often	often	ADV
cana-2947	121	4	contains	contain	VERB
cana-2947	121	5	noise	noise	NOUN
cana-2947	121	6	,	,	PUNCT
cana-2947	121	7	missing	miss	VERB
cana-2947	121	8	values	value	NOUN
cana-2947	121	9	,	,	PUNCT
cana-2947	121	10	and	and	CCONJ
cana-2947	121	11	outliers	outlier	NOUN
cana-2947	121	12	due	due	ADJ
cana-2947	121	13	to	to	ADP
cana-2947	121	14	sensor	sensor	NOUN
cana-2947	121	15	inaccuracies	inaccuracy	NOUN
cana-2947	121	16	or	or	CCONJ
cana-2947	121	17	communication	communication	NOUN
cana-2947	121	18	delays	delay	NOUN
cana-2947	121	19	.	.	PUNCT
cana-2947	122	1	preprocessing	preprocesse	VERB
cana-2947	122	2	involves	involve	VERB
cana-2947	122	3	cleaning	cleaning	NOUN
cana-2947	122	4	,	,	PUNCT
cana-2947	122	5	normalization	normalization	NOUN
cana-2947	122	6	,	,	PUNCT
cana-2947	122	7	feature	feature	NOUN
cana-2947	122	8	extraction	extraction	NOUN
cana-2947	122	9	,	,	PUNCT
cana-2947	122	10	and	and	CCONJ
cana-2947	122	11	dimensionality	dimensionality	NOUN
cana-2947	122	12	reduction	reduction	NOUN
cana-2947	122	13	to	to	PART
cana-2947	122	14	prepare	prepare	VERB
cana-2947	122	15	the	the	DET
cana-2947	122	16	dataset	dataset	NOUN
cana-2947	122	17	for	for	ADP
cana-2947	122	18	effective	effective	ADJ
cana-2947	122	19	analysis	analysis	NOUN
cana-2947	122	20	.	.	PUNCT
cana-2947	123	1	data	datum	NOUN
cana-2947	123	2	cleaning	cleaning	NOUN
cana-2947	123	3	and	and	CCONJ
cana-2947	123	4	imputation	imputation	NOUN
cana-2947	123	5	data	datum	NOUN
cana-2947	123	6	cleaning	clean	VERB
cana-2947	123	7	addresses	address	NOUN
cana-2947	123	8	missing	miss	VERB
cana-2947	123	9	values	value	NOUN
cana-2947	123	10	and	and	CCONJ
cana-2947	123	11	inconsistencies	inconsistency	NOUN
cana-2947	123	12	in	in	ADP
cana-2947	123	13	sensor	sensor	NOUN
cana-2947	123	14	readings	reading	NOUN
cana-2947	123	15	.	.	PUNCT
cana-2947	124	1	missing	miss	VERB
cana-2947	124	2	data	datum	NOUN
cana-2947	124	3	is	be	AUX
cana-2947	124	4	imputed	impute	VERB
cana-2947	124	5	using	use	VERB
cana-2947	124	6	statistical	statistical	ADJ
cana-2947	124	7	methods	method	NOUN
cana-2947	124	8	such	such	ADJ
cana-2947	124	9	as	as	ADP
cana-2947	124	10	mean	mean	ADJ
cana-2947	124	11	,	,	PUNCT
cana-2947	124	12	median	median	ADJ
cana-2947	124	13	,	,	PUNCT
cana-2947	124	14	or	or	CCONJ
cana-2947	124	15	k	k	ADV
cana-2947	124	16	-	-	PUNCT
cana-2947	124	17	nearest	near	ADJ
cana-2947	124	18	neighbors	neighbor	NOUN
cana-2947	124	19	(	(	PUNCT
cana-2947	124	20	k	k	X
cana-2947	124	21	-	-	PUNCT
cana-2947	124	22	nn	nn	ADJ
cana-2947	124	23	)	)	PUNCT
cana-2947	124	24	imputation	imputation	NOUN
cana-2947	124	25	.	.	PUNCT
cana-2947	125	1	normalization	normalization	NOUN
cana-2947	125	2	to	to	PART
cana-2947	125	3	ensure	ensure	VERB
cana-2947	125	4	uniformity	uniformity	NOUN
cana-2947	125	5	across	across	ADP
cana-2947	125	6	features	feature	NOUN
cana-2947	125	7	with	with	ADP
cana-2947	125	8	different	different	ADJ
cana-2947	125	9	scales	scale	NOUN
cana-2947	125	10	(	(	PUNCT
cana-2947	125	11	e.g.	e.g.	ADV
cana-2947	125	12	,	,	PUNCT
cana-2947	125	13	bilirubin	bilirubin	NOUN
cana-2947	125	14	levels	level	NOUN
cana-2947	125	15	measured	measure	VERB
cana-2947	125	16	in	in	ADP
cana-2947	125	17	mg	mg	PROPN
cana-2947	125	18	/	/	SYM
cana-2947	125	19	dl	dl	PROPN
cana-2947	125	20	vs.	vs.	X
cana-2947	125	21	heart	heart	NOUN
cana-2947	125	22	rate	rate	NOUN
cana-2947	125	23	in	in	ADP
cana-2947	125	24	bpm	bpm	NOUN
cana-2947	125	25	)	)	PUNCT
cana-2947	125	26	,	,	PUNCT
cana-2947	125	27	data	datum	NOUN
cana-2947	125	28	is	be	AUX
cana-2947	125	29	normalized	normalize	VERB
cana-2947	125	30	to	to	ADP
cana-2947	125	31	a	a	DET
cana-2947	125	32	common	common	ADJ
cana-2947	125	33	scale	scale	NOUN
cana-2947	125	34	using	use	VERB
cana-2947	125	35	min	min	ADJ
cana-2947	125	36	-	-	ADJ
cana-2947	125	37	max	max	PROPN
cana-2947	125	38	normalization	normalization	NOUN
cana-2947	125	39	:	:	PUNCT
cana-2947	126	1	xnorm	xnorm	NOUN
cana-2947	126	2	=	=	PUNCT
cana-2947	126	3	x	x	SYM
cana-2947	126	4	−	−	PROPN
cana-2947	126	5	xmin	xmin	PROPN
cana-2947	126	6	xmax	xmax	PROPN
cana-2947	127	1	−	−	PROPN
cana-2947	127	2	xmin	xmin	NOUN
cana-2947	127	3	this	this	DET
cana-2947	127	4	normalization	normalization	NOUN
cana-2947	127	5	maps	map	VERB
cana-2947	127	6	all	all	DET
cana-2947	127	7	feature	feature	NOUN
cana-2947	127	8	values	value	NOUN
cana-2947	127	9	to	to	ADP
cana-2947	127	10	a	a	DET
cana-2947	127	11	range	range	NOUN
cana-2947	127	12	of	of	ADP
cana-2947	127	13	[	[	X
cana-2947	127	14	0	0	NUM
cana-2947	127	15	,	,	PUNCT
cana-2947	127	16	1	1	NUM
cana-2947	127	17	]	]	PUNCT
cana-2947	127	18	,	,	PUNCT
cana-2947	127	19	enhancing	enhance	VERB
cana-2947	127	20	the	the	DET
cana-2947	127	21	performance	performance	NOUN
cana-2947	127	22	of	of	ADP
cana-2947	127	23	ml	ml	NOUN
cana-2947	127	24	algorithms	algorithm	NOUN
cana-2947	127	25	.	.	PUNCT
cana-2947	128	1	feature	feature	NOUN
cana-2947	128	2	extraction	extraction	NOUN
cana-2947	128	3	key	key	NOUN
cana-2947	128	4	features	feature	NOUN
cana-2947	128	5	indicative	indicative	ADJ
cana-2947	128	6	of	of	ADP
cana-2947	128	7	liver	liver	NOUN
cana-2947	128	8	health	health	NOUN
cana-2947	128	9	are	be	AUX
cana-2947	128	10	derived	derive	VERB
cana-2947	128	11	from	from	ADP
cana-2947	128	12	the	the	DET
cana-2947	128	13	raw	raw	ADJ
cana-2947	128	14	data	datum	NOUN
cana-2947	128	15	.	.	PUNCT
cana-2947	129	1	for	for	ADP
cana-2947	129	2	example	example	NOUN
cana-2947	129	3	:	:	PUNCT
cana-2947	129	4	•	•	ADJ
cana-2947	129	5	enzyme	enzyme	NOUN
cana-2947	129	6	ratios	ratio	NOUN
cana-2947	129	7	:	:	PUNCT
cana-2947	129	8	the	the	DET
cana-2947	129	9	ratio	ratio	NOUN
cana-2947	129	10	of	of	ADP
cana-2947	129	11	alt	alt	NOUN
cana-2947	129	12	to	to	PART
cana-2947	129	13	ast	ast	VERB
cana-2947	129	14	is	be	AUX
cana-2947	129	15	calculated	calculate	VERB
cana-2947	129	16	:	:	PUNCT
cana-2947	129	17	ratioalt	ratioalt	VERB
cana-2947	129	18	/	/	SYM
cana-2947	129	19	ast	ast	NOUN
cana-2947	129	20	=	=	PUNCT
cana-2947	129	21	alt	alt	VERB
cana-2947	129	22	ast	ast	X
cana-2947	129	23	elevated	elevated	ADJ
cana-2947	129	24	ratios	ratio	NOUN
cana-2947	129	25	often	often	ADV
cana-2947	129	26	indicate	indicate	VERB
cana-2947	129	27	liver	liver	NOUN
cana-2947	129	28	dysfunction	dysfunction	NOUN
cana-2947	129	29	.	.	PUNCT
cana-2947	130	1	•	•	NUM
cana-2947	130	2	bilirubin	bilirubin	NOUN
cana-2947	130	3	trends	trend	NOUN
cana-2947	130	4	:	:	PUNCT
cana-2947	130	5	temporal	temporal	ADJ
cana-2947	130	6	changes	change	NOUN
cana-2947	130	7	in	in	ADP
cana-2947	130	8	bilirubin	bilirubin	NOUN
cana-2947	130	9	levels	level	NOUN
cana-2947	130	10	are	be	AUX
cana-2947	130	11	computed	compute	VERB
cana-2947	130	12	using	use	VERB
cana-2947	130	13	a	a	DET
cana-2947	130	14	moving	move	VERB
cana-2947	130	15	average	average	NOUN
cana-2947	130	16	to	to	PART
cana-2947	130	17	identify	identify	VERB
cana-2947	130	18	abnormalities	abnormality	NOUN
cana-2947	130	19	.	.	PUNCT
cana-2947	131	1	table	table	NOUN
cana-2947	131	2	6	6	NUM
cana-2947	131	3	:	:	PUNCT
cana-2947	131	4	derived	derive	VERB
cana-2947	131	5	features	feature	NOUN
cana-2947	131	6	for	for	ADP
cana-2947	131	7	ml	ml	NOUN
cana-2947	131	8	analysis	analysis	NOUN
cana-2947	131	9	feature	feature	NOUN
cana-2947	131	10	description	description	NOUN
cana-2947	131	11	significance	significance	NOUN
cana-2947	131	12	alt	alt	PROPN
cana-2947	131	13	/	/	SYM
cana-2947	131	14	ast	ast	NOUN
cana-2947	131	15	ratio	ratio	NOUN
cana-2947	131	16	ratio	ratio	NOUN
cana-2947	131	17	of	of	ADP
cana-2947	131	18	liver	liver	NOUN
cana-2947	131	19	enzymes	enzyme	NOUN
cana-2947	131	20	detects	detect	NOUN
cana-2947	131	21	liver	liver	VERB
cana-2947	131	22	dysfunction	dysfunction	NOUN
cana-2947	131	23	communications	communication	NOUN
cana-2947	131	24	on	on	ADP
cana-2947	131	25	applied	apply	VERB
cana-2947	131	26	nonlinear	nonlinear	ADJ
cana-2947	131	27	analysis	analysis	NOUN
cana-2947	131	28	issn	issn	NOUN
cana-2947	131	29	:	:	PUNCT
cana-2947	131	30	1074	1074	NUM
cana-2947	131	31	-	-	PUNCT
cana-2947	131	32	133x	133x	NUM
cana-2947	131	33	vol	vol	NOUN
cana-2947	131	34	32	32	NUM
cana-2947	131	35	no	no	NOUN
cana-2947	131	36	.	.	PUNCT
cana-2947	132	1	5s	5s	NUM
cana-2947	132	2	(	(	PUNCT
cana-2947	132	3	2025	2025	NUM
cana-2947	132	4	)	)	PUNCT
cana-2947	132	5	59	59	NUM
cana-2947	132	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	132	7	feature	feature	NOUN
cana-2947	132	8	description	description	NOUN
cana-2947	132	9	significance	significance	NOUN
cana-2947	132	10	moving	move	VERB
cana-2947	132	11	average	average	ADJ
cana-2947	132	12	(	(	PUNCT
cana-2947	132	13	bilirubin	bilirubin	NOUN
cana-2947	132	14	)	)	PUNCT
cana-2947	132	15	7	7	NUM
cana-2947	132	16	-	-	PUNCT
cana-2947	132	17	day	day	NOUN
cana-2947	132	18	moving	move	VERB
cana-2947	132	19	average	average	NOUN
cana-2947	132	20	of	of	ADP
cana-2947	132	21	bilirubin	bilirubin	NOUN
cana-2947	132	22	levels	level	NOUN
cana-2947	132	23	tracks	track	VERB
cana-2947	132	24	temporal	temporal	ADJ
cana-2947	132	25	abnormalities	abnormality	NOUN
cana-2947	132	26	heart	heart	NOUN
cana-2947	132	27	rate	rate	NOUN
cana-2947	132	28	variability	variability	NOUN
cana-2947	132	29	standard	standard	ADJ
cana-2947	132	30	deviation	deviation	NOUN
cana-2947	132	31	of	of	ADP
cana-2947	132	32	interbeat	interbeat	NOUN
cana-2947	132	33	intervals	interval	NOUN
cana-2947	132	34	(	(	PUNCT
cana-2947	132	35	sdnn	sdnn	NOUN
cana-2947	132	36	)	)	PUNCT
cana-2947	132	37	indicates	indicate	VERB
cana-2947	132	38	systemic	systemic	ADJ
cana-2947	132	39	stress	stress	NOUN
cana-2947	132	40	on	on	ADP
cana-2947	132	41	the	the	DET
cana-2947	132	42	liver	liver	NOUN
cana-2947	132	43	dimensionality	dimensionality	NOUN
cana-2947	132	44	reduction	reduction	NOUN
cana-2947	132	45	to	to	PART
cana-2947	132	46	enhance	enhance	VERB
cana-2947	132	47	computational	computational	ADJ
cana-2947	132	48	efficiency	efficiency	NOUN
cana-2947	132	49	and	and	CCONJ
cana-2947	132	50	mitigate	mitigate	VERB
cana-2947	132	51	the	the	DET
cana-2947	132	52	risk	risk	NOUN
cana-2947	132	53	of	of	ADP
cana-2947	132	54	overfitting	overfitte	VERB
cana-2947	132	55	,	,	PUNCT
cana-2947	132	56	principal	principal	ADJ
cana-2947	132	57	component	component	NOUN
cana-2947	132	58	analysis	analysis	NOUN
cana-2947	132	59	(	(	PUNCT
cana-2947	132	60	pca	pca	NOUN
cana-2947	132	61	)	)	PUNCT
cana-2947	132	62	is	be	AUX
cana-2947	132	63	applied	apply	VERB
cana-2947	132	64	for	for	ADP
cana-2947	132	65	dimensionality	dimensionality	NOUN
cana-2947	132	66	reduction	reduction	NOUN
cana-2947	132	67	.	.	PUNCT
cana-2947	133	1	the	the	DET
cana-2947	133	2	transformed	transform	VERB
cana-2947	133	3	features	feature	NOUN
cana-2947	133	4	fpca	fpca	PROPN
cana-2947	133	5	are	be	AUX
cana-2947	133	6	computed	compute	VERB
cana-2947	133	7	as	as	ADP
cana-2947	133	8	:	:	PUNCT
cana-2947	133	9	fpca	fpca	NOUN
cana-2947	133	10	=	=	SYM
cana-2947	133	11	wtx	wtx	PROPN
cana-2947	133	12	where	where	SCONJ
cana-2947	133	13	w	w	NOUN
cana-2947	133	14	represents	represent	VERB
cana-2947	133	15	the	the	DET
cana-2947	133	16	principal	principal	ADJ
cana-2947	133	17	component	component	NOUN
cana-2947	133	18	weights	weight	NOUN
cana-2947	133	19	,	,	PUNCT
cana-2947	133	20	and	and	CCONJ
cana-2947	133	21	x	x	X
cana-2947	133	22	is	be	AUX
cana-2947	133	23	the	the	DET
cana-2947	133	24	normalized	normalize	VERB
cana-2947	133	25	feature	feature	NOUN
cana-2947	133	26	matrix	matrix	NOUN
cana-2947	133	27	.	.	PUNCT
cana-2947	134	1	algorithm	algorithm	NOUN
cana-2947	134	2	2	2	NUM
cana-2947	134	3	:	:	PUNCT
cana-2947	134	4	data	datum	NOUN
cana-2947	134	5	preprocessing	preprocesse	VERB
cana-2947	134	6	pipeline	pipeline	NOUN
cana-2947	134	7	1	1	NUM
cana-2947	134	8	.	.	PUNCT
cana-2947	134	9	input	input	ADJ
cana-2947	134	10	raw	raw	ADJ
cana-2947	134	11	data	datum	NOUN
cana-2947	134	12	:	:	PUNCT
cana-2947	134	13	o	o	NOUN
cana-2947	134	14	load	load	NOUN
cana-2947	134	15	sensor	sensor	NOUN
cana-2947	134	16	data	datum	NOUN
cana-2947	134	17	{	{	PUNCT
cana-2947	134	18	d1,d2	d1,d2	PROPN
cana-2947	134	19	,	,	PUNCT
cana-2947	134	20	…	…	PUNCT
cana-2947	134	21	,	,	PUNCT
cana-2947	134	22	dn	dn	ADJ
cana-2947	134	23	}	}	PUNCT
cana-2947	134	24	.	.	PUNCT
cana-2947	135	1	2	2	X
cana-2947	135	2	.	.	X
cana-2947	135	3	clean	clean	ADJ
cana-2947	135	4	data	data	PROPN
cana-2947	135	5	:	:	PUNCT
cana-2947	135	6	o	o	NOUN
cana-2947	135	7	impute	impute	NOUN
cana-2947	135	8	missing	miss	VERB
cana-2947	135	9	values	value	NOUN
cana-2947	135	10	using	use	VERB
cana-2947	135	11	k	k	PROPN
cana-2947	135	12	-	-	PUNCT
cana-2947	135	13	nn	nn	PROPN
cana-2947	135	14	.	.	NOUN
cana-2947	135	15	o	o	PROPN
cana-2947	135	16	detect	detect	NOUN
cana-2947	135	17	and	and	CCONJ
cana-2947	135	18	remove	remove	VERB
cana-2947	135	19	outliers	outlier	NOUN
cana-2947	135	20	using	use	VERB
cana-2947	135	21	3σ	3σ	NUM
cana-2947	135	22	thresholds	threshold	NOUN
cana-2947	135	23	.	.	PUNCT
cana-2947	136	1	3	3	X
cana-2947	136	2	.	.	X
cana-2947	136	3	normalize	normalize	VERB
cana-2947	136	4	data	datum	NOUN
cana-2947	136	5	:	:	PUNCT
cana-2947	136	6	o	o	NOUN
cana-2947	136	7	apply	apply	VERB
cana-2947	136	8	min	min	PROPN
cana-2947	136	9	-	-	ADJ
cana-2947	136	10	max	max	PROPN
cana-2947	136	11	normalization	normalization	NOUN
cana-2947	136	12	to	to	PART
cana-2947	136	13	scale	scale	VERB
cana-2947	136	14	features	feature	NOUN
cana-2947	136	15	.	.	PUNCT
cana-2947	137	1	4	4	X
cana-2947	137	2	.	.	X
cana-2947	137	3	extract	extract	NOUN
cana-2947	137	4	features	feature	VERB
cana-2947	137	5	:	:	PUNCT
cana-2947	137	6	o	o	NOUN
cana-2947	137	7	derive	derive	ADJ
cana-2947	137	8	alt	alt	PROPN
cana-2947	137	9	/	/	SYM
cana-2947	137	10	ast	ast	NOUN
cana-2947	137	11	ratio	ratio	NOUN
cana-2947	137	12	,	,	PUNCT
cana-2947	137	13	bilirubin	bilirubin	NOUN
cana-2947	137	14	trends	trend	NOUN
cana-2947	137	15	,	,	PUNCT
cana-2947	137	16	and	and	CCONJ
cana-2947	137	17	other	other	ADJ
cana-2947	137	18	key	key	ADJ
cana-2947	137	19	indicators	indicator	NOUN
cana-2947	137	20	.	.	PUNCT
cana-2947	138	1	5	5	X
cana-2947	138	2	.	.	X
cana-2947	138	3	dimensionality	dimensionality	NOUN
cana-2947	138	4	reduction	reduction	NOUN
cana-2947	138	5	:	:	PUNCT
cana-2947	138	6	o	o	NOUN
cana-2947	138	7	apply	apply	VERB
cana-2947	138	8	pca	pca	NOUN
cana-2947	138	9	to	to	PART
cana-2947	138	10	reduce	reduce	VERB
cana-2947	138	11	feature	feature	NOUN
cana-2947	138	12	dimensionality	dimensionality	NOUN
cana-2947	138	13	.	.	PUNCT
cana-2947	139	1	6	6	X
cana-2947	139	2	.	.	X
cana-2947	139	3	output	output	NOUN
cana-2947	139	4	processed	process	VERB
cana-2947	139	5	data	datum	NOUN
cana-2947	139	6	:	:	PUNCT
cana-2947	139	7	o	o	NOUN
cana-2947	139	8	return	return	NOUN
cana-2947	139	9	cleaned	clean	VERB
cana-2947	139	10	and	and	CCONJ
cana-2947	139	11	transformed	transform	VERB
cana-2947	139	12	dataset	dataset	NOUN
cana-2947	139	13	for	for	ADP
cana-2947	139	14	ml	ml	NOUN
cana-2947	139	15	analysis	analysis	NOUN
cana-2947	139	16	.	.	PUNCT
cana-2947	140	1	4	4	X
cana-2947	140	2	.	.	X
cana-2947	140	3	machine	machine	NOUN
cana-2947	140	4	learning	learning	NOUN
cana-2947	140	5	model	model	NOUN
cana-2947	140	6	design	design	VERB
cana-2947	140	7	the	the	DET
cana-2947	140	8	core	core	NOUN
cana-2947	140	9	of	of	ADP
cana-2947	140	10	the	the	DET
cana-2947	140	11	proposed	propose	VERB
cana-2947	140	12	framework	framework	NOUN
cana-2947	140	13	is	be	AUX
cana-2947	140	14	the	the	DET
cana-2947	140	15	machine	machine	NOUN
cana-2947	140	16	learning	learn	VERB
cana-2947	140	17	model	model	NOUN
cana-2947	140	18	,	,	PUNCT
cana-2947	140	19	which	which	PRON
cana-2947	140	20	analyzes	analyze	VERB
cana-2947	140	21	preprocessed	preprocesse	VERB
cana-2947	140	22	data	datum	NOUN
cana-2947	140	23	to	to	PART
cana-2947	140	24	classify	classify	VERB
cana-2947	140	25	patients	patient	NOUN
cana-2947	140	26	into	into	ADP
cana-2947	140	27	diagnostic	diagnostic	ADJ
cana-2947	140	28	categories	category	NOUN
cana-2947	140	29	such	such	ADJ
cana-2947	140	30	as	as	ADP
cana-2947	140	31	healthy	healthy	ADJ
cana-2947	140	32	,	,	PUNCT
cana-2947	140	33	mild	mild	ADJ
cana-2947	140	34	liver	liver	NOUN
cana-2947	140	35	dysfunction	dysfunction	NOUN
cana-2947	140	36	,	,	PUNCT
cana-2947	140	37	or	or	CCONJ
cana-2947	140	38	severe	severe	ADJ
cana-2947	140	39	liver	liver	NOUN
cana-2947	140	40	disease	disease	NOUN
cana-2947	140	41	.	.	PUNCT
cana-2947	141	1	this	this	DET
cana-2947	141	2	section	section	NOUN
cana-2947	141	3	describes	describe	VERB
cana-2947	141	4	the	the	DET
cana-2947	141	5	model	model	NOUN
cana-2947	141	6	selection	selection	NOUN
cana-2947	141	7	,	,	PUNCT
cana-2947	141	8	training	training	NOUN
cana-2947	141	9	,	,	PUNCT
cana-2947	141	10	and	and	CCONJ
cana-2947	141	11	evaluation	evaluation	NOUN
cana-2947	141	12	process	process	NOUN
cana-2947	141	13	.	.	PUNCT
cana-2947	142	1	model	model	NOUN
cana-2947	142	2	selection	selection	NOUN
cana-2947	142	3	the	the	DET
cana-2947	142	4	system	system	NOUN
cana-2947	142	5	employs	employ	VERB
cana-2947	142	6	a	a	DET
cana-2947	142	7	hybrid	hybrid	ADJ
cana-2947	142	8	approach	approach	NOUN
cana-2947	142	9	,	,	PUNCT
cana-2947	142	10	combining	combine	VERB
cana-2947	142	11	traditional	traditional	ADJ
cana-2947	142	12	ml	ml	NOUN
cana-2947	142	13	models	model	NOUN
cana-2947	142	14	with	with	ADP
cana-2947	142	15	advanced	advanced	ADJ
cana-2947	142	16	deep	deep	ADJ
cana-2947	142	17	learning	learning	NOUN
cana-2947	142	18	architectures	architecture	NOUN
cana-2947	142	19	for	for	ADP
cana-2947	142	20	optimal	optimal	ADJ
cana-2947	142	21	performance	performance	NOUN
cana-2947	142	22	.	.	PUNCT
cana-2947	143	1	a	a	DET
cana-2947	143	2	random	random	ADJ
cana-2947	143	3	forest	forest	NOUN
cana-2947	143	4	(	(	PUNCT
cana-2947	143	5	rf	rf	NOUN
cana-2947	143	6	)	)	PUNCT
cana-2947	143	7	classifier	classifier	NOUN
cana-2947	143	8	is	be	AUX
cana-2947	143	9	used	use	VERB
cana-2947	143	10	for	for	ADP
cana-2947	143	11	baseline	baseline	ADJ
cana-2947	143	12	communications	communication	NOUN
cana-2947	143	13	on	on	ADP
cana-2947	143	14	applied	apply	VERB
cana-2947	143	15	nonlinear	nonlinear	ADJ
cana-2947	143	16	analysis	analysis	NOUN
cana-2947	143	17	issn	issn	NOUN
cana-2947	143	18	:	:	PUNCT
cana-2947	143	19	1074	1074	NUM
cana-2947	143	20	-	-	PUNCT
cana-2947	143	21	133x	133x	NUM
cana-2947	143	22	vol	vol	NOUN
cana-2947	143	23	32	32	NUM
cana-2947	143	24	no	no	NOUN
cana-2947	143	25	.	.	PUNCT
cana-2947	144	1	5s	5s	NUM
cana-2947	144	2	(	(	PUNCT
cana-2947	144	3	2025	2025	NUM
cana-2947	144	4	)	)	PUNCT
cana-2947	144	5	60	60	NUM
cana-2947	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	144	7	comparisons	comparison	NOUN
cana-2947	144	8	due	due	ADP
cana-2947	144	9	to	to	ADP
cana-2947	144	10	its	its	PRON
cana-2947	144	11	robustness	robustness	NOUN
cana-2947	144	12	and	and	CCONJ
cana-2947	144	13	interpretability	interpretability	NOUN
cana-2947	144	14	.	.	PUNCT
cana-2947	145	1	additionally	additionally	ADV
cana-2947	145	2	,	,	PUNCT
cana-2947	145	3	a	a	DET
cana-2947	145	4	convolutional	convolutional	ADJ
cana-2947	145	5	neural	neural	ADJ
cana-2947	145	6	network	network	NOUN
cana-2947	145	7	(	(	PUNCT
cana-2947	145	8	cnn	cnn	PROPN
cana-2947	145	9	)	)	PUNCT
cana-2947	145	10	is	be	AUX
cana-2947	145	11	implemented	implement	VERB
cana-2947	145	12	to	to	PART
cana-2947	145	13	capture	capture	VERB
cana-2947	145	14	complex	complex	ADJ
cana-2947	145	15	patterns	pattern	NOUN
cana-2947	145	16	in	in	ADP
cana-2947	145	17	time	time	NOUN
cana-2947	145	18	-	-	PUNCT
cana-2947	145	19	series	series	NOUN
cana-2947	145	20	data	datum	NOUN
cana-2947	145	21	.	.	PUNCT
cana-2947	146	1	random	random	ADJ
cana-2947	146	2	forest	forest	NOUN
cana-2947	146	3	classifier	classifier	NOUN
cana-2947	146	4	the	the	DET
cana-2947	146	5	rf	rf	NOUN
cana-2947	146	6	model	model	NOUN
cana-2947	146	7	consists	consist	VERB
cana-2947	146	8	of	of	ADP
cana-2947	146	9	ntrees	ntree	NOUN
cana-2947	146	10	decision	decision	NOUN
cana-2947	146	11	trees	tree	NOUN
cana-2947	146	12	.	.	PUNCT
cana-2947	147	1	the	the	DET
cana-2947	147	2	final	final	ADJ
cana-2947	147	3	classification	classification	NOUN
cana-2947	147	4	output	output	NOUN
cana-2947	147	5	crf	crf	PROPN
cana-2947	147	6	is	be	AUX
cana-2947	147	7	determined	determine	VERB
cana-2947	147	8	by	by	ADP
cana-2947	147	9	majority	majority	NOUN
cana-2947	147	10	voting	voting	NOUN
cana-2947	147	11	:	:	PUNCT
cana-2947	147	12	crf	crf	PROPN
cana-2947	147	13	=	=	SYM
cana-2947	147	14	mode(t1,t2	mode(t1,t2	PROPN
cana-2947	147	15	,	,	PUNCT
cana-2947	147	16	…	…	PUNCT
cana-2947	147	17	,	,	PUNCT
cana-2947	147	18	tntrees	tntree	NOUN
cana-2947	147	19	)	)	PUNCT
cana-2947	147	20	where	where	SCONJ
cana-2947	147	21	ti	ti	NOUN
cana-2947	147	22	represents	represent	VERB
cana-2947	147	23	the	the	DET
cana-2947	147	24	prediction	prediction	NOUN
cana-2947	147	25	from	from	ADP
cana-2947	147	26	the	the	DET
cana-2947	147	27	i	i	PROPN
cana-2947	147	28	-	-	PUNCT
cana-2947	147	29	th	th	VERB
cana-2947	147	30	tree	tree	NOUN
cana-2947	147	31	.	.	PUNCT
cana-2947	148	1	cnn	cnn	PROPN
cana-2947	148	2	for	for	ADP
cana-2947	148	3	time	time	NOUN
cana-2947	148	4	-	-	PUNCT
cana-2947	148	5	series	series	NOUN
cana-2947	148	6	analysis	analysis	NOUN
cana-2947	148	7	the	the	DET
cana-2947	148	8	cnn	cnn	PROPN
cana-2947	148	9	model	model	NOUN
cana-2947	148	10	processes	process	VERB
cana-2947	148	11	time	time	NOUN
cana-2947	148	12	-	-	PUNCT
cana-2947	148	13	series	series	NOUN
cana-2947	148	14	features	feature	NOUN
cana-2947	148	15	using	use	VERB
cana-2947	148	16	convolutional	convolutional	ADJ
cana-2947	148	17	layers	layer	NOUN
cana-2947	148	18	,	,	PUNCT
cana-2947	148	19	pooling	pool	VERB
cana-2947	148	20	layers	layer	NOUN
cana-2947	148	21	,	,	PUNCT
cana-2947	148	22	and	and	CCONJ
cana-2947	148	23	fully	fully	ADV
cana-2947	148	24	connected	connected	ADJ
cana-2947	148	25	layers	layer	NOUN
cana-2947	148	26	.	.	PUNCT
cana-2947	149	1	the	the	DET
cana-2947	149	2	architecture	architecture	NOUN
cana-2947	149	3	is	be	AUX
cana-2947	149	4	defined	define	VERB
cana-2947	149	5	as	as	SCONJ
cana-2947	149	6	follows	follow	VERB
cana-2947	149	7	:	:	PUNCT
cana-2947	149	8	•	•	NOUN
cana-2947	149	9	input	input	NOUN
cana-2947	149	10	layer	layer	NOUN
cana-2947	149	11	:	:	PUNCT
cana-2947	149	12	accepts	accept	VERB
cana-2947	149	13	normalized	normalize	VERB
cana-2947	149	14	feature	feature	NOUN
cana-2947	149	15	vectors	vector	NOUN
cana-2947	149	16	.	.	PUNCT
cana-2947	150	1	•	•	NUM
cana-2947	150	2	convolutional	convolutional	ADJ
cana-2947	150	3	layer	layer	NOUN
cana-2947	150	4	:	:	PUNCT
cana-2947	150	5	applies	apply	VERB
cana-2947	150	6	filters	filter	NOUN
cana-2947	150	7	to	to	PART
cana-2947	150	8	capture	capture	VERB
cana-2947	150	9	temporal	temporal	ADJ
cana-2947	150	10	patterns	pattern	NOUN
cana-2947	150	11	:	:	PUNCT
cana-2947	150	12	fconv	fconv	ADJ
cana-2947	150	13	=	=	SYM
cana-2947	150	14	σ(w	σ(w	PROPN
cana-2947	150	15	∗	∗	NOUN
cana-2947	150	16	x	x	PUNCT
cana-2947	151	1	+	+	NUM
cana-2947	151	2	b	b	X
cana-2947	151	3	)	)	PUNCT
cana-2947	151	4	where	where	SCONJ
cana-2947	151	5	w	w	NOUN
cana-2947	151	6	and	and	CCONJ
cana-2947	151	7	b	b	NOUN
cana-2947	151	8	are	be	AUX
cana-2947	151	9	the	the	DET
cana-2947	151	10	weights	weight	NOUN
cana-2947	151	11	and	and	CCONJ
cana-2947	151	12	biases	bias	NOUN
cana-2947	151	13	,	,	PUNCT
cana-2947	151	14	and	and	CCONJ
cana-2947	151	15	∗	∗	NOUN
cana-2947	151	16	represents	represent	VERB
cana-2947	151	17	the	the	DET
cana-2947	151	18	convolution	convolution	NOUN
cana-2947	151	19	operation	operation	NOUN
cana-2947	151	20	.	.	PUNCT
cana-2947	152	1	•	•	NOUN
cana-2947	152	2	pooling	pool	VERB
cana-2947	152	3	layer	layer	NOUN
cana-2947	152	4	:	:	PUNCT
cana-2947	152	5	reduces	reduce	VERB
cana-2947	152	6	dimensionality	dimensionality	NOUN
cana-2947	152	7	using	use	VERB
cana-2947	152	8	max	max	PROPN
cana-2947	152	9	-	-	PUNCT
cana-2947	152	10	pooling	pooling	NOUN
cana-2947	152	11	.	.	PUNCT
cana-2947	153	1	•	•	NUM
cana-2947	153	2	fully	fully	ADV
cana-2947	153	3	connected	connected	ADJ
cana-2947	153	4	layer	layer	NOUN
cana-2947	153	5	:	:	PUNCT
cana-2947	153	6	maps	map	VERB
cana-2947	153	7	the	the	DET
cana-2947	153	8	extracted	extract	VERB
cana-2947	153	9	features	feature	NOUN
cana-2947	153	10	to	to	ADP
cana-2947	153	11	the	the	DET
cana-2947	153	12	diagnostic	diagnostic	ADJ
cana-2947	153	13	categories	category	NOUN
cana-2947	153	14	.	.	PUNCT
cana-2947	154	1	table	table	NOUN
cana-2947	154	2	7	7	NUM
cana-2947	154	3	:	:	PUNCT
cana-2947	154	4	ml	ml	NOUN
cana-2947	154	5	model	model	NOUN
cana-2947	154	6	architecture	architecture	NOUN
cana-2947	154	7	specifications	specification	NOUN
cana-2947	154	8	model	model	NOUN
cana-2947	154	9	component	component	NOUN
cana-2947	154	10	description	description	NOUN
cana-2947	154	11	parameters	parameter	NOUN
cana-2947	154	12	input	input	NOUN
cana-2947	154	13	layer	layer	NOUN
cana-2947	154	14	accepts	accept	VERB
cana-2947	154	15	feature	feature	NOUN
cana-2947	154	16	vector	vector	NOUN
cana-2947	154	17	20	20	NUM
cana-2947	154	18	features	feature	VERB
cana-2947	154	19	convolutional	convolutional	ADJ
cana-2947	154	20	layer	layer	NOUN
cana-2947	154	21	1d	1d	NUM
cana-2947	154	22	convolution	convolution	NOUN
cana-2947	154	23	filters	filter	VERB
cana-2947	154	24	64	64	NUM
cana-2947	154	25	filters	filter	NOUN
cana-2947	154	26	,	,	PUNCT
cana-2947	154	27	kernel=3	kernel=3	AUX
cana-2947	154	28	pooling	pool	VERB
cana-2947	154	29	layer	layer	NOUN
cana-2947	154	30	max	max	PROPN
cana-2947	154	31	pooling	pool	VERB
cana-2947	154	32	pool	pool	NOUN
cana-2947	154	33	size=2	size=2	PROPN
cana-2947	154	34	fully	fully	ADV
cana-2947	154	35	connected	connect	VERB
cana-2947	154	36	layer	layer	NOUN
cana-2947	154	37	dense	dense	ADJ
cana-2947	154	38	layer	layer	NOUN
cana-2947	154	39	3	3	NUM
cana-2947	154	40	output	output	NOUN
cana-2947	154	41	categories	category	NOUN
cana-2947	154	42	training	training	NOUN
cana-2947	154	43	and	and	CCONJ
cana-2947	154	44	evaluation	evaluation	NOUN
cana-2947	154	45	the	the	DET
cana-2947	154	46	ml	ml	NOUN
cana-2947	154	47	models	model	NOUN
cana-2947	154	48	are	be	AUX
cana-2947	154	49	trained	train	VERB
cana-2947	154	50	using	use	VERB
cana-2947	154	51	a	a	DET
cana-2947	154	52	dataset	dataset	NOUN
cana-2947	154	53	of	of	ADP
cana-2947	154	54	labeled	label	VERB
cana-2947	154	55	clinical	clinical	ADJ
cana-2947	154	56	records	record	NOUN
cana-2947	154	57	,	,	PUNCT
cana-2947	154	58	divided	divide	VERB
cana-2947	154	59	into	into	ADP
cana-2947	154	60	training	training	NOUN
cana-2947	154	61	(	(	PUNCT
cana-2947	154	62	80	80	NUM
cana-2947	154	63	%	%	NOUN
cana-2947	154	64	)	)	PUNCT
cana-2947	154	65	and	and	CCONJ
cana-2947	154	66	testing	testing	NOUN
cana-2947	154	67	(	(	PUNCT
cana-2947	154	68	20	20	NUM
cana-2947	154	69	%	%	NOUN
cana-2947	154	70	)	)	PUNCT
cana-2947	154	71	sets	set	NOUN
cana-2947	154	72	.	.	PUNCT
cana-2947	155	1	the	the	DET
cana-2947	155	2	cnn	cnn	PROPN
cana-2947	155	3	model	model	NOUN
cana-2947	155	4	employs	employ	VERB
cana-2947	155	5	a	a	DET
cana-2947	155	6	categorical	categorical	ADJ
cana-2947	155	7	cross	cross	ADJ
cana-2947	155	8	-	-	ADJ
cana-2947	155	9	entropy	entropy	ADJ
cana-2947	155	10	loss	loss	NOUN
cana-2947	155	11	function	function	NOUN
cana-2947	155	12	:	:	PUNCT
cana-2947	156	1	ℒ	ℒ	PROPN
cana-2947	156	2	=	=	SYM
cana-2947	156	3	−∑	−∑	PROPN
cana-2947	156	4	y	y	NOUN
cana-2947	156	5	c	c	NOUN
cana-2947	156	6	c	c	NOUN
cana-2947	156	7	c=1	c=1	X
cana-2947	156	8	log(ŷ	log(ŷ	PROPN
cana-2947	156	9	c	c	NOUN
cana-2947	156	10	)	)	PUNCT
cana-2947	156	11	where	where	SCONJ
cana-2947	156	12	y	y	PROPN
cana-2947	156	13	c	c	PROPN
cana-2947	156	14	and	and	CCONJ
cana-2947	156	15	ŷ	ŷ	NUM
cana-2947	156	16	c	c	PROPN
cana-2947	156	17	are	be	AUX
cana-2947	156	18	the	the	DET
cana-2947	156	19	actual	actual	ADJ
cana-2947	156	20	and	and	CCONJ
cana-2947	156	21	predicted	predict	VERB
cana-2947	156	22	probabilities	probability	NOUN
cana-2947	156	23	for	for	ADP
cana-2947	156	24	class	class	NOUN
cana-2947	156	25	c.	c.	NOUN
cana-2947	156	26	the	the	DET
cana-2947	156	27	performance	performance	NOUN
cana-2947	156	28	is	be	AUX
cana-2947	156	29	evaluated	evaluate	VERB
cana-2947	156	30	using	use	VERB
cana-2947	156	31	metrics	metric	NOUN
cana-2947	156	32	such	such	ADJ
cana-2947	156	33	as	as	ADP
cana-2947	156	34	accuracy	accuracy	NOUN
cana-2947	156	35	,	,	PUNCT
cana-2947	156	36	precision	precision	NOUN
cana-2947	156	37	,	,	PUNCT
cana-2947	156	38	recall	recall	NOUN
cana-2947	156	39	,	,	PUNCT
cana-2947	156	40	and	and	CCONJ
cana-2947	156	41	f1	f1	NOUN
cana-2947	156	42	-	-	PUNCT
cana-2947	156	43	score	score	NOUN
cana-2947	156	44	:	:	PUNCT
cana-2947	156	45	f1	f1	ADJ
cana-2947	156	46	-	-	PUNCT
cana-2947	156	47	score	score	NOUN
cana-2947	156	48	=	=	SYM
cana-2947	156	49	2	2	NUM
cana-2947	156	50	⋅	⋅	X
cana-2947	156	51	(	(	PUNCT
cana-2947	156	52	precision	precision	NOUN
cana-2947	156	53	⋅	⋅	PROPN
cana-2947	156	54	recall	recall	NOUN
cana-2947	156	55	)	)	PUNCT
cana-2947	156	56	precision	precision	NOUN
cana-2947	156	57	+	+	CCONJ
cana-2947	156	58	recall	recall	NOUN
cana-2947	156	59	communications	communication	NOUN
cana-2947	156	60	on	on	ADP
cana-2947	156	61	applied	apply	VERB
cana-2947	156	62	nonlinear	nonlinear	ADJ
cana-2947	156	63	analysis	analysis	NOUN
cana-2947	156	64	issn	issn	NOUN
cana-2947	156	65	:	:	PUNCT
cana-2947	156	66	1074	1074	NUM
cana-2947	156	67	-	-	PUNCT
cana-2947	156	68	133x	133x	NUM
cana-2947	156	69	vol	vol	NOUN
cana-2947	156	70	32	32	NUM
cana-2947	156	71	no	no	NOUN
cana-2947	156	72	.	.	PUNCT
cana-2947	157	1	5s	5s	NUM
cana-2947	157	2	(	(	PUNCT
cana-2947	157	3	2025	2025	NUM
cana-2947	157	4	)	)	PUNCT
cana-2947	157	5	61	61	NUM
cana-2947	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	157	7	algorithm	algorithm	NOUN
cana-2947	157	8	3	3	NUM
cana-2947	157	9	:	:	PUNCT
cana-2947	157	10	ml	ml	ADP
cana-2947	157	11	training	training	NOUN
cana-2947	157	12	pipeline	pipeline	NOUN
cana-2947	157	13	1	1	NUM
cana-2947	157	14	.	.	PUNCT
cana-2947	157	15	input	input	NOUN
cana-2947	157	16	processed	process	VERB
cana-2947	157	17	data	datum	NOUN
cana-2947	157	18	:	:	PUNCT
cana-2947	157	19	o	o	NOUN
cana-2947	157	20	load	load	NOUN
cana-2947	157	21	preprocessed	preprocesse	VERB
cana-2947	157	22	dataset	dataset	NOUN
cana-2947	157	23	{	{	PUNCT
cana-2947	157	24	x	x	NOUN
cana-2947	157	25	,	,	PUNCT
cana-2947	157	26	y	y	NOUN
cana-2947	157	27	}	}	PUNCT
cana-2947	157	28	.	.	PUNCT
cana-2947	158	1	2	2	X
cana-2947	158	2	.	.	X
cana-2947	158	3	split	split	ADJ
cana-2947	158	4	data	datum	NOUN
cana-2947	158	5	:	:	PUNCT
cana-2947	158	6	o	o	NOUN
cana-2947	158	7	divide	divide	NOUN
cana-2947	158	8	into	into	ADP
cana-2947	158	9	training	training	NOUN
cana-2947	158	10	(	(	PUNCT
cana-2947	158	11	80	80	NUM
cana-2947	158	12	%	%	NOUN
cana-2947	158	13	)	)	PUNCT
cana-2947	158	14	and	and	CCONJ
cana-2947	158	15	testing	testing	NOUN
cana-2947	158	16	(	(	PUNCT
cana-2947	158	17	20	20	NUM
cana-2947	158	18	%	%	NOUN
cana-2947	158	19	)	)	PUNCT
cana-2947	158	20	subsets	subset	NOUN
cana-2947	158	21	.	.	PUNCT
cana-2947	159	1	3	3	X
cana-2947	159	2	.	.	X
cana-2947	159	3	train	train	NOUN
cana-2947	159	4	models	model	NOUN
cana-2947	159	5	:	:	PUNCT
cana-2947	159	6	o	o	NOUN
cana-2947	159	7	train	train	NOUN
cana-2947	159	8	rf	rf	NOUN
cana-2947	159	9	and	and	CCONJ
cana-2947	159	10	cnn	cnn	PROPN
cana-2947	159	11	models	model	NOUN
cana-2947	159	12	on	on	ADP
cana-2947	159	13	the	the	DET
cana-2947	159	14	training	training	NOUN
cana-2947	159	15	set	set	NOUN
cana-2947	159	16	.	.	PUNCT
cana-2947	160	1	4	4	X
cana-2947	160	2	.	.	X
cana-2947	160	3	evaluate	evaluate	VERB
cana-2947	160	4	models	model	NOUN
cana-2947	160	5	:	:	PUNCT
cana-2947	160	6	o	o	NOUN
cana-2947	160	7	compute	compute	NOUN
cana-2947	160	8	accuracy	accuracy	NOUN
cana-2947	160	9	,	,	PUNCT
cana-2947	160	10	precision	precision	NOUN
cana-2947	160	11	,	,	PUNCT
cana-2947	160	12	recall	recall	NOUN
cana-2947	160	13	,	,	PUNCT
cana-2947	160	14	and	and	CCONJ
cana-2947	160	15	f1	f1	NOUN
cana-2947	160	16	-	-	PUNCT
cana-2947	160	17	score	score	NOUN
cana-2947	160	18	on	on	ADP
cana-2947	160	19	the	the	DET
cana-2947	160	20	testing	testing	NOUN
cana-2947	160	21	set	set	NOUN
cana-2947	160	22	.	.	PUNCT
cana-2947	161	1	5	5	X
cana-2947	161	2	.	.	X
cana-2947	161	3	output	output	NOUN
cana-2947	161	4	best	good	ADJ
cana-2947	161	5	model	model	NOUN
cana-2947	161	6	:	:	PUNCT
cana-2947	161	7	o	o	NOUN
cana-2947	161	8	select	select	VERB
cana-2947	161	9	the	the	DET
cana-2947	161	10	model	model	NOUN
cana-2947	161	11	with	with	ADP
cana-2947	161	12	the	the	DET
cana-2947	161	13	highest	high	ADJ
cana-2947	161	14	evaluation	evaluation	NOUN
cana-2947	161	15	metrics	metric	NOUN
cana-2947	161	16	.	.	PUNCT
cana-2947	162	1	by	by	ADP
cana-2947	162	2	preprocessing	preprocesse	VERB
cana-2947	162	3	data	datum	NOUN
cana-2947	162	4	and	and	CCONJ
cana-2947	162	5	designing	design	VERB
cana-2947	162	6	robust	robust	ADJ
cana-2947	162	7	ml	ml	NOUN
cana-2947	162	8	models	model	NOUN
cana-2947	162	9	,	,	PUNCT
cana-2947	162	10	the	the	DET
cana-2947	162	11	framework	framework	NOUN
cana-2947	162	12	ensures	ensure	VERB
cana-2947	162	13	accurate	accurate	ADJ
cana-2947	162	14	and	and	CCONJ
cana-2947	162	15	reliable	reliable	ADJ
cana-2947	162	16	liver	liver	NOUN
cana-2947	162	17	disease	disease	NOUN
cana-2947	162	18	detection	detection	NOUN
cana-2947	162	19	.	.	PUNCT
cana-2947	163	1	these	these	DET
cana-2947	163	2	steps	step	NOUN
cana-2947	163	3	lay	lie	VERB
cana-2947	163	4	the	the	DET
cana-2947	163	5	foundation	foundation	NOUN
cana-2947	163	6	for	for	ADP
cana-2947	163	7	the	the	DET
cana-2947	163	8	next	next	ADJ
cana-2947	163	9	phases	phase	NOUN
cana-2947	163	10	:	:	PUNCT
cana-2947	163	11	real	real	ADJ
cana-2947	163	12	-	-	PUNCT
cana-2947	163	13	time	time	NOUN
cana-2947	163	14	analysis	analysis	NOUN
cana-2947	163	15	and	and	CCONJ
cana-2947	163	16	system	system	NOUN
cana-2947	163	17	validation	validation	NOUN
cana-2947	163	18	,	,	PUNCT
cana-2947	163	19	which	which	PRON
cana-2947	163	20	will	will	AUX
cana-2947	163	21	be	be	AUX
cana-2947	163	22	discussed	discuss	VERB
cana-2947	163	23	in	in	ADP
cana-2947	163	24	subsequent	subsequent	ADJ
cana-2947	163	25	sections	section	NOUN
cana-2947	163	26	.	.	PUNCT
cana-2947	164	1	5	5	X
cana-2947	164	2	.	.	X
cana-2947	164	3	real	real	ADJ
cana-2947	164	4	-	-	PUNCT
cana-2947	164	5	time	time	NOUN
cana-2947	164	6	analysis	analysis	NOUN
cana-2947	164	7	and	and	CCONJ
cana-2947	164	8	monitoring	monitor	VERB
cana-2947	164	9	real	real	ADJ
cana-2947	164	10	-	-	PUNCT
cana-2947	164	11	time	time	NOUN
cana-2947	164	12	analysis	analysis	NOUN
cana-2947	164	13	and	and	CCONJ
cana-2947	164	14	monitoring	monitoring	NOUN
cana-2947	164	15	play	play	VERB
cana-2947	164	16	a	a	DET
cana-2947	164	17	critical	critical	ADJ
cana-2947	164	18	role	role	NOUN
cana-2947	164	19	in	in	ADP
cana-2947	164	20	the	the	DET
cana-2947	164	21	proposed	propose	VERB
cana-2947	164	22	framework	framework	NOUN
cana-2947	164	23	,	,	PUNCT
cana-2947	164	24	ensuring	ensure	VERB
cana-2947	164	25	continuous	continuous	ADJ
cana-2947	164	26	tracking	tracking	NOUN
cana-2947	164	27	of	of	ADP
cana-2947	164	28	liver	liver	NOUN
cana-2947	164	29	health	health	NOUN
cana-2947	164	30	and	and	CCONJ
cana-2947	164	31	immediate	immediate	ADJ
cana-2947	164	32	response	response	NOUN
cana-2947	164	33	to	to	ADP
cana-2947	164	34	abnormal	abnormal	ADJ
cana-2947	164	35	readings	reading	NOUN
cana-2947	164	36	.	.	PUNCT
cana-2947	165	1	this	this	DET
cana-2947	165	2	component	component	NOUN
cana-2947	165	3	leverages	leverage	VERB
cana-2947	165	4	the	the	DET
cana-2947	165	5	trained	train	VERB
cana-2947	165	6	machine	machine	NOUN
cana-2947	165	7	learning	learning	NOUN
cana-2947	165	8	model	model	NOUN
cana-2947	165	9	and	and	CCONJ
cana-2947	165	10	cloud	cloud	NOUN
cana-2947	165	11	computing	compute	VERB
cana-2947	165	12	infrastructure	infrastructure	NOUN
cana-2947	165	13	to	to	PART
cana-2947	165	14	provide	provide	VERB
cana-2947	165	15	dynamic	dynamic	ADJ
cana-2947	165	16	insights	insight	NOUN
cana-2947	165	17	into	into	ADP
cana-2947	165	18	patient	patient	ADJ
cana-2947	165	19	conditions	condition	NOUN
cana-2947	165	20	.	.	PUNCT
cana-2947	166	1	real	real	ADJ
cana-2947	166	2	-	-	PUNCT
cana-2947	166	3	time	time	NOUN
cana-2947	166	4	data	datum	NOUN
cana-2947	166	5	flow	flow	VERB
cana-2947	166	6	the	the	DET
cana-2947	166	7	iot	iot	ADJ
cana-2947	166	8	sensors	sensor	NOUN
cana-2947	166	9	continuously	continuously	ADV
cana-2947	166	10	stream	stream	VERB
cana-2947	166	11	data	datum	NOUN
cana-2947	166	12	to	to	ADP
cana-2947	166	13	the	the	DET
cana-2947	166	14	cloud	cloud	NOUN
cana-2947	166	15	server	server	NOUN
cana-2947	166	16	at	at	ADP
cana-2947	166	17	predefined	predefine	VERB
cana-2947	166	18	intervals	interval	NOUN
cana-2947	166	19	.	.	PUNCT
cana-2947	167	1	the	the	DET
cana-2947	167	2	data	data	NOUN
cana-2947	167	3	undergoes	undergoe	NOUN
cana-2947	167	4	preprocessing	preprocessing	NOUN
cana-2947	167	5	and	and	CCONJ
cana-2947	167	6	is	be	AUX
cana-2947	167	7	fed	feed	VERB
cana-2947	167	8	into	into	ADP
cana-2947	167	9	the	the	DET
cana-2947	167	10	trained	train	VERB
cana-2947	167	11	ml	ml	PROPN
cana-2947	167	12	model	model	NOUN
cana-2947	167	13	to	to	PART
cana-2947	167	14	generate	generate	VERB
cana-2947	167	15	real	real	ADJ
cana-2947	167	16	-	-	PUNCT
cana-2947	167	17	time	time	NOUN
cana-2947	167	18	predictions	prediction	NOUN
cana-2947	167	19	.	.	PUNCT
cana-2947	168	1	the	the	DET
cana-2947	168	2	monitoring	monitoring	NOUN
cana-2947	168	3	system	system	NOUN
cana-2947	168	4	flags	flag	VERB
cana-2947	168	5	critical	critical	ADJ
cana-2947	168	6	values	value	NOUN
cana-2947	168	7	and	and	CCONJ
cana-2947	168	8	trends	trend	NOUN
cana-2947	168	9	for	for	ADP
cana-2947	168	10	further	further	ADJ
cana-2947	168	11	evaluation	evaluation	NOUN
cana-2947	168	12	.	.	PUNCT
cana-2947	169	1	the	the	DET
cana-2947	169	2	diagnostic	diagnostic	ADJ
cana-2947	169	3	prediction	prediction	NOUN
cana-2947	169	4	pt	pt	NOUN
cana-2947	169	5	for	for	ADP
cana-2947	169	6	each	each	DET
cana-2947	169	7	time	time	NOUN
cana-2947	169	8	instance	instance	NOUN
cana-2947	169	9	t	t	PROPN
cana-2947	169	10	is	be	AUX
cana-2947	169	11	represented	represent	VERB
cana-2947	169	12	as	as	ADP
cana-2947	169	13	:	:	PUNCT
cana-2947	169	14	pt	pt	NOUN
cana-2947	169	15	=	=	PUNCT
cana-2947	169	16	fml(xt	fml(xt	NOUN
cana-2947	169	17	)	)	PUNCT
cana-2947	169	18	where	where	SCONJ
cana-2947	169	19	xt	xt	PROPN
cana-2947	169	20	is	be	AUX
cana-2947	169	21	the	the	DET
cana-2947	169	22	feature	feature	NOUN
cana-2947	169	23	vector	vector	NOUN
cana-2947	169	24	at	at	ADP
cana-2947	169	25	time	time	NOUN
cana-2947	169	26	t	t	PROPN
cana-2947	169	27	,	,	PUNCT
cana-2947	169	28	and	and	CCONJ
cana-2947	169	29	fml	fml	PROPN
cana-2947	169	30	is	be	AUX
cana-2947	169	31	the	the	DET
cana-2947	169	32	predictive	predictive	ADJ
cana-2947	169	33	function	function	NOUN
cana-2947	169	34	of	of	ADP
cana-2947	169	35	the	the	DET
cana-2947	169	36	machine	machine	NOUN
cana-2947	169	37	learning	learning	NOUN
cana-2947	169	38	model	model	NOUN
cana-2947	169	39	.	.	PUNCT
cana-2947	170	1	alert	alert	ADJ
cana-2947	170	2	system	system	NOUN
cana-2947	170	3	when	when	SCONJ
cana-2947	170	4	the	the	DET
cana-2947	170	5	predicted	predict	VERB
cana-2947	170	6	class	class	NOUN
cana-2947	170	7	indicates	indicate	VERB
cana-2947	170	8	a	a	DET
cana-2947	170	9	high	high	ADJ
cana-2947	170	10	risk	risk	NOUN
cana-2947	170	11	of	of	ADP
cana-2947	170	12	severe	severe	ADJ
cana-2947	170	13	liver	liver	NOUN
cana-2947	170	14	disease	disease	NOUN
cana-2947	170	15	,	,	PUNCT
cana-2947	170	16	the	the	DET
cana-2947	170	17	system	system	NOUN
cana-2947	170	18	immediately	immediately	ADV
cana-2947	170	19	triggers	trigger	VERB
cana-2947	170	20	an	an	DET
cana-2947	170	21	alert	alert	NOUN
cana-2947	170	22	.	.	PUNCT
cana-2947	171	1	alerts	alert	NOUN
cana-2947	171	2	are	be	AUX
cana-2947	171	3	sent	send	VERB
cana-2947	171	4	to	to	ADP
cana-2947	171	5	both	both	DET
cana-2947	171	6	patients	patient	NOUN
cana-2947	171	7	and	and	CCONJ
cana-2947	171	8	healthcare	healthcare	NOUN
cana-2947	171	9	providers	provider	NOUN
cana-2947	171	10	via	via	ADP
cana-2947	171	11	mobile	mobile	ADJ
cana-2947	171	12	or	or	CCONJ
cana-2947	171	13	web	web	NOUN
cana-2947	171	14	applications	application	NOUN
cana-2947	171	15	.	.	PUNCT
cana-2947	172	1	the	the	DET
cana-2947	172	2	alert	alert	ADJ
cana-2947	172	3	mechanism	mechanism	NOUN
cana-2947	172	4	uses	use	VERB
cana-2947	172	5	a	a	DET
cana-2947	172	6	threshold	threshold	NOUN
cana-2947	172	7	-	-	PUNCT
cana-2947	172	8	based	base	VERB
cana-2947	172	9	strategy	strategy	NOUN
cana-2947	172	10	,	,	PUNCT
cana-2947	172	11	where	where	SCONJ
cana-2947	172	12	an	an	DET
cana-2947	172	13	alert	alert	NOUN
cana-2947	172	14	is	be	AUX
cana-2947	172	15	generated	generate	VERB
cana-2947	172	16	if	if	SCONJ
cana-2947	172	17	:	:	PUNCT
cana-2947	172	18	pt	pt	PROPN
cana-2947	172	19	≥	≥	NOUN
cana-2947	172	20	talert	talert	NOUN
cana-2947	172	21	here	here	ADV
cana-2947	172	22	,	,	PUNCT
cana-2947	172	23	talert	talert	PROPN
cana-2947	172	24	is	be	AUX
cana-2947	172	25	the	the	DET
cana-2947	172	26	critical	critical	ADJ
cana-2947	172	27	threshold	threshold	NOUN
cana-2947	172	28	determined	determine	VERB
cana-2947	172	29	during	during	ADP
cana-2947	172	30	model	model	NOUN
cana-2947	172	31	training	training	NOUN
cana-2947	172	32	.	.	PUNCT
cana-2947	173	1	communications	communication	NOUN
cana-2947	173	2	on	on	ADP
cana-2947	173	3	applied	apply	VERB
cana-2947	173	4	nonlinear	nonlinear	ADJ
cana-2947	173	5	analysis	analysis	NOUN
cana-2947	173	6	issn	issn	NOUN
cana-2947	173	7	:	:	PUNCT
cana-2947	173	8	1074	1074	NUM
cana-2947	173	9	-	-	PUNCT
cana-2947	173	10	133x	133x	NUM
cana-2947	173	11	vol	vol	NOUN
cana-2947	173	12	32	32	NUM
cana-2947	173	13	no	no	NOUN
cana-2947	173	14	.	.	PUNCT
cana-2947	174	1	5s	5s	NUM
cana-2947	174	2	(	(	PUNCT
cana-2947	174	3	2025	2025	NUM
cana-2947	174	4	)	)	PUNCT
cana-2947	174	5	62	62	NUM
cana-2947	174	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	174	7	visualization	visualization	NOUN
cana-2947	174	8	dashboard	dashboard	NOUN
cana-2947	174	9	to	to	PART
cana-2947	174	10	enhance	enhance	VERB
cana-2947	174	11	usability	usability	NOUN
cana-2947	174	12	,	,	PUNCT
cana-2947	174	13	the	the	DET
cana-2947	174	14	system	system	NOUN
cana-2947	174	15	features	feature	VERB
cana-2947	174	16	a	a	DET
cana-2947	174	17	dashboard	dashboard	NOUN
cana-2947	174	18	displaying	display	VERB
cana-2947	174	19	real	real	ADJ
cana-2947	174	20	-	-	PUNCT
cana-2947	174	21	time	time	NOUN
cana-2947	174	22	metrics	metric	NOUN
cana-2947	174	23	,	,	PUNCT
cana-2947	174	24	historical	historical	ADJ
cana-2947	174	25	trends	trend	NOUN
cana-2947	174	26	,	,	PUNCT
cana-2947	174	27	and	and	CCONJ
cana-2947	174	28	diagnostic	diagnostic	ADJ
cana-2947	174	29	insights	insight	NOUN
cana-2947	174	30	.	.	PUNCT
cana-2947	175	1	key	key	ADJ
cana-2947	175	2	elements	element	NOUN
cana-2947	175	3	include	include	VERB
cana-2947	175	4	:	:	PUNCT
cana-2947	175	5	•	•	NUM
cana-2947	175	6	trend	trend	NOUN
cana-2947	175	7	graphs	graph	NOUN
cana-2947	175	8	:	:	PUNCT
cana-2947	175	9	visualizing	visualize	VERB
cana-2947	175	10	liver	liver	NOUN
cana-2947	175	11	enzyme	enzyme	NOUN
cana-2947	175	12	levels	level	NOUN
cana-2947	175	13	and	and	CCONJ
cana-2947	175	14	other	other	ADJ
cana-2947	175	15	indicators	indicator	NOUN
cana-2947	175	16	over	over	ADP
cana-2947	175	17	time	time	NOUN
cana-2947	175	18	.	.	PUNCT
cana-2947	176	1	•	•	NOUN
cana-2947	176	2	risk	risk	NOUN
cana-2947	176	3	alerts	alert	NOUN
cana-2947	176	4	:	:	PUNCT
cana-2947	176	5	displaying	display	VERB
cana-2947	176	6	current	current	ADJ
cana-2947	176	7	risk	risk	NOUN
cana-2947	176	8	status	status	NOUN
cana-2947	176	9	with	with	ADP
cana-2947	176	10	actionable	actionable	ADJ
cana-2947	176	11	recommendations	recommendation	NOUN
cana-2947	176	12	.	.	PUNCT
cana-2947	177	1	•	•	NUM
cana-2947	177	2	patient	patient	NOUN
cana-2947	177	3	history	history	NOUN
cana-2947	177	4	:	:	PUNCT
cana-2947	177	5	providing	provide	VERB
cana-2947	177	6	an	an	DET
cana-2947	177	7	overview	overview	NOUN
cana-2947	177	8	of	of	ADP
cana-2947	177	9	previous	previous	ADJ
cana-2947	177	10	diagnostic	diagnostic	ADJ
cana-2947	177	11	outcomes	outcome	NOUN
cana-2947	177	12	.	.	PUNCT
cana-2947	178	1	table	table	NOUN
cana-2947	178	2	8	8	NUM
cana-2947	178	3	:	:	PUNCT
cana-2947	178	4	real	real	ADJ
cana-2947	178	5	-	-	PUNCT
cana-2947	178	6	time	time	NOUN
cana-2947	178	7	monitoring	monitoring	NOUN
cana-2947	178	8	features	feature	VERB
cana-2947	178	9	feature	feature	NOUN
cana-2947	178	10	description	description	NOUN
cana-2947	178	11	purpose	purpose	NOUN
cana-2947	178	12	trend	trend	NOUN
cana-2947	178	13	graphs	graph	NOUN
cana-2947	178	14	visualize	visualize	VERB
cana-2947	178	15	temporal	temporal	ADJ
cana-2947	178	16	changes	change	NOUN
cana-2947	178	17	in	in	ADP
cana-2947	178	18	health	health	NOUN
cana-2947	178	19	metrics	metric	NOUN
cana-2947	178	20	identify	identify	VERB
cana-2947	178	21	abnormalities	abnormality	NOUN
cana-2947	178	22	over	over	ADP
cana-2947	178	23	time	time	NOUN
cana-2947	178	24	risk	risk	NOUN
cana-2947	178	25	alerts	alert	NOUN
cana-2947	178	26	notify	notify	VERB
cana-2947	178	27	patients	patient	NOUN
cana-2947	178	28	and	and	CCONJ
cana-2947	178	29	doctors	doctor	NOUN
cana-2947	178	30	of	of	ADP
cana-2947	178	31	critical	critical	ADJ
cana-2947	178	32	risks	risk	NOUN
cana-2947	178	33	enable	enable	VERB
cana-2947	178	34	timely	timely	ADJ
cana-2947	178	35	medical	medical	ADJ
cana-2947	178	36	intervention	intervention	NOUN
cana-2947	178	37	historical	historical	ADJ
cana-2947	178	38	records	record	NOUN
cana-2947	178	39	summarize	summarize	VERB
cana-2947	178	40	past	past	ADP
cana-2947	178	41	diagnostic	diagnostic	ADJ
cana-2947	178	42	results	result	NOUN
cana-2947	178	43	track	track	VERB
cana-2947	178	44	disease	disease	NOUN
cana-2947	178	45	progression	progression	NOUN
cana-2947	178	46	cloud	cloud	NOUN
cana-2947	178	47	-	-	PUNCT
cana-2947	178	48	based	base	VERB
cana-2947	178	49	notifications	notification	NOUN
cana-2947	178	50	the	the	DET
cana-2947	178	51	system	system	NOUN
cana-2947	178	52	integrates	integrate	VERB
cana-2947	178	53	firebase	firebase	NOUN
cana-2947	178	54	or	or	CCONJ
cana-2947	178	55	similar	similar	ADJ
cana-2947	178	56	cloud	cloud	NOUN
cana-2947	178	57	services	service	NOUN
cana-2947	178	58	for	for	ADP
cana-2947	178	59	real	real	ADJ
cana-2947	178	60	-	-	PUNCT
cana-2947	178	61	time	time	NOUN
cana-2947	178	62	notifications	notification	NOUN
cana-2947	178	63	.	.	PUNCT
cana-2947	179	1	notifications	notification	NOUN
cana-2947	179	2	are	be	AUX
cana-2947	179	3	generated	generate	VERB
cana-2947	179	4	in	in	ADP
cana-2947	179	5	json	json	NOUN
cana-2947	179	6	format	format	NOUN
cana-2947	179	7	:	:	PUNCT
cana-2947	179	8	notification	notification	NOUN
cana-2947	179	9	=	=	SYM
cana-2947	179	10	{	{	PUNCT
cana-2947	179	11	patientid	patientid	NOUN
cana-2947	179	12	,	,	PUNCT
cana-2947	179	13	timestamp	timestamp	NOUN
cana-2947	179	14	,	,	PUNCT
cana-2947	179	15	risk	risk	NOUN
cana-2947	179	16	level	level	NOUN
cana-2947	179	17	,	,	PUNCT
cana-2947	179	18	recommended	recommend	VERB
cana-2947	179	19	action	action	NOUN
cana-2947	179	20	}	}	PUNCT
cana-2947	179	21	these	these	DET
cana-2947	179	22	notifications	notification	NOUN
cana-2947	179	23	ensure	ensure	VERB
cana-2947	179	24	immediate	immediate	ADJ
cana-2947	179	25	communication	communication	NOUN
cana-2947	179	26	between	between	ADP
cana-2947	179	27	patients	patient	NOUN
cana-2947	179	28	and	and	CCONJ
cana-2947	179	29	healthcare	healthcare	NOUN
cana-2947	179	30	providers	provider	NOUN
cana-2947	179	31	.	.	PUNCT
cana-2947	180	1	data	datum	NOUN
cana-2947	180	2	retention	retention	NOUN
cana-2947	180	3	and	and	CCONJ
cana-2947	180	4	security	security	NOUN
cana-2947	180	5	data	data	NOUN
cana-2947	180	6	retention	retention	NOUN
cana-2947	180	7	policies	policy	NOUN
cana-2947	180	8	comply	comply	VERB
cana-2947	180	9	with	with	ADP
cana-2947	180	10	regulatory	regulatory	ADJ
cana-2947	180	11	standards	standard	NOUN
cana-2947	180	12	,	,	PUNCT
cana-2947	180	13	ensuring	ensure	VERB
cana-2947	180	14	patient	patient	ADJ
cana-2947	180	15	privacy	privacy	NOUN
cana-2947	180	16	and	and	CCONJ
cana-2947	180	17	secure	secure	ADJ
cana-2947	180	18	data	datum	NOUN
cana-2947	180	19	handling	handling	NOUN
cana-2947	180	20	.	.	PUNCT
cana-2947	181	1	encryption	encryption	NOUN
cana-2947	181	2	(	(	PUNCT
cana-2947	181	3	aes-256	aes-256	NOUN
cana-2947	181	4	)	)	PUNCT
cana-2947	181	5	and	and	CCONJ
cana-2947	181	6	role	role	NOUN
cana-2947	181	7	-	-	PUNCT
cana-2947	181	8	based	base	VERB
cana-2947	181	9	access	access	NOUN
cana-2947	181	10	control	control	NOUN
cana-2947	181	11	(	(	PUNCT
cana-2947	181	12	rbac	rbac	NOUN
cana-2947	181	13	)	)	PUNCT
cana-2947	181	14	protect	protect	VERB
cana-2947	181	15	sensitive	sensitive	ADJ
cana-2947	181	16	information	information	NOUN
cana-2947	181	17	.	.	PUNCT
cana-2947	182	1	algorithm	algorithm	NOUN
cana-2947	182	2	4	4	NUM
cana-2947	182	3	:	:	PUNCT
cana-2947	182	4	real	real	ADJ
cana-2947	182	5	-	-	PUNCT
cana-2947	182	6	time	time	NOUN
cana-2947	182	7	monitoring	monitoring	NOUN
cana-2947	182	8	and	and	CCONJ
cana-2947	182	9	alert	alert	ADJ
cana-2947	182	10	system	system	NOUN
cana-2947	182	11	1	1	NUM
cana-2947	182	12	.	.	PUNCT
cana-2947	182	13	input	input	NOUN
cana-2947	182	14	data	datum	NOUN
cana-2947	182	15	stream	stream	NOUN
cana-2947	182	16	:	:	PUNCT
cana-2947	182	17	o	o	NOUN
cana-2947	182	18	receive	receive	VERB
cana-2947	182	19	feature	feature	NOUN
cana-2947	182	20	vector	vector	PROPN
cana-2947	182	21	xt	xt	PROPN
cana-2947	182	22	from	from	ADP
cana-2947	182	23	iot	iot	PROPN
cana-2947	182	24	devices	device	NOUN
cana-2947	182	25	.	.	PUNCT
cana-2947	183	1	2	2	X
cana-2947	183	2	.	.	X
cana-2947	183	3	predict	predict	VERB
cana-2947	183	4	diagnosis	diagnosis	NOUN
cana-2947	183	5	:	:	PUNCT
cana-2947	183	6	o	o	NOUN
cana-2947	183	7	compute	compute	NOUN
cana-2947	183	8	pt	pt	NOUN
cana-2947	183	9	=	=	PUNCT
cana-2947	183	10	fml(xt	fml(xt	NOUN
cana-2947	183	11	)	)	PUNCT
cana-2947	183	12	.	.	PUNCT
cana-2947	184	1	3	3	X
cana-2947	184	2	.	.	X
cana-2947	184	3	check	check	NOUN
cana-2947	184	4	threshold	threshold	NOUN
cana-2947	184	5	:	:	PUNCT
cana-2947	185	1	o	o	X
cana-2947	186	1	if	if	SCONJ
cana-2947	186	2	pt	pt	PROPN
cana-2947	186	3	≥	≥	NOUN
cana-2947	186	4	talert	talert	NOUN
cana-2947	186	5	:	:	PUNCT
cana-2947	186	6	▪	▪	X
cana-2947	186	7	generate	generate	VERB
cana-2947	186	8	alert	alert	NOUN
cana-2947	186	9	with	with	ADP
cana-2947	186	10	risk	risk	NOUN
cana-2947	186	11	level	level	NOUN
cana-2947	186	12	=	=	SYM
cana-2947	186	13	pt	pt	NOUN
cana-2947	186	14	.	.	NOUN
cana-2947	186	15	▪	▪	NOUN
cana-2947	186	16	notify	notify	VERB
cana-2947	186	17	patients	patient	NOUN
cana-2947	186	18	and	and	CCONJ
cana-2947	186	19	healthcare	healthcare	NOUN
cana-2947	186	20	providers	provider	NOUN
cana-2947	186	21	.	.	PUNCT
cana-2947	187	1	4	4	X
cana-2947	187	2	.	.	X
cana-2947	187	3	update	update	NOUN
cana-2947	187	4	dashboard	dashboard	NOUN
cana-2947	187	5	:	:	PUNCT
cana-2947	187	6	communications	communication	NOUN
cana-2947	187	7	on	on	ADP
cana-2947	187	8	applied	apply	VERB
cana-2947	187	9	nonlinear	nonlinear	ADJ
cana-2947	187	10	analysis	analysis	NOUN
cana-2947	187	11	issn	issn	NOUN
cana-2947	187	12	:	:	PUNCT
cana-2947	187	13	1074	1074	NUM
cana-2947	187	14	-	-	PUNCT
cana-2947	187	15	133x	133x	NUM
cana-2947	187	16	vol	vol	NOUN
cana-2947	187	17	32	32	NUM
cana-2947	187	18	no	no	NOUN
cana-2947	187	19	.	.	PUNCT
cana-2947	188	1	5s	5s	NUM
cana-2947	188	2	(	(	PUNCT
cana-2947	188	3	2025	2025	NUM
cana-2947	188	4	)	)	PUNCT
cana-2947	188	5	63	63	NUM
cana-2947	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	188	7	o	o	PROPN
cana-2947	188	8	display	display	NOUN
cana-2947	188	9	updated	update	VERB
cana-2947	188	10	trends	trend	NOUN
cana-2947	188	11	and	and	CCONJ
cana-2947	188	12	risk	risk	NOUN
cana-2947	188	13	status	status	NOUN
cana-2947	188	14	.	.	PUNCT
cana-2947	189	1	5	5	X
cana-2947	189	2	.	.	X
cana-2947	189	3	repeat	repeat	NOUN
cana-2947	189	4	:	:	PUNCT
cana-2947	189	5	o	o	NOUN
cana-2947	189	6	loop	loop	NOUN
cana-2947	189	7	for	for	ADP
cana-2947	189	8	every	every	DET
cana-2947	189	9	incoming	incoming	ADJ
cana-2947	189	10	data	datum	NOUN
cana-2947	189	11	packet	packet	NOUN
cana-2947	189	12	.	.	PUNCT
cana-2947	190	1	6	6	X
cana-2947	190	2	.	.	X
cana-2947	190	3	system	system	NOUN
cana-2947	190	4	validation	validation	NOUN
cana-2947	190	5	and	and	CCONJ
cana-2947	190	6	performance	performance	NOUN
cana-2947	190	7	evaluation	evaluation	NOUN
cana-2947	190	8	the	the	DET
cana-2947	190	9	final	final	ADJ
cana-2947	190	10	stage	stage	NOUN
cana-2947	190	11	involves	involve	VERB
cana-2947	190	12	validating	validate	VERB
cana-2947	190	13	the	the	DET
cana-2947	190	14	proposed	propose	VERB
cana-2947	190	15	framework	framework	NOUN
cana-2947	190	16	under	under	ADP
cana-2947	190	17	real	real	ADJ
cana-2947	190	18	-	-	PUNCT
cana-2947	190	19	world	world	NOUN
cana-2947	190	20	conditions	condition	NOUN
cana-2947	190	21	and	and	CCONJ
cana-2947	190	22	evaluating	evaluate	VERB
cana-2947	190	23	its	its	PRON
cana-2947	190	24	performance	performance	NOUN
cana-2947	190	25	across	across	ADP
cana-2947	190	26	multiple	multiple	ADJ
cana-2947	190	27	dimensions	dimension	NOUN
cana-2947	190	28	,	,	PUNCT
cana-2947	190	29	such	such	ADJ
cana-2947	190	30	as	as	ADP
cana-2947	190	31	accuracy	accuracy	NOUN
cana-2947	190	32	,	,	PUNCT
cana-2947	190	33	latency	latency	NOUN
cana-2947	190	34	,	,	PUNCT
cana-2947	190	35	energy	energy	NOUN
cana-2947	190	36	efficiency	efficiency	NOUN
cana-2947	190	37	,	,	PUNCT
cana-2947	190	38	and	and	CCONJ
cana-2947	190	39	user	user	NOUN
cana-2947	190	40	satisfaction	satisfaction	NOUN
cana-2947	190	41	.	.	PUNCT
cana-2947	191	1	experimental	experimental	ADJ
cana-2947	191	2	setup	setup	NOUN
cana-2947	191	3	the	the	DET
cana-2947	191	4	system	system	NOUN
cana-2947	191	5	is	be	AUX
cana-2947	191	6	tested	test	VERB
cana-2947	191	7	using	use	VERB
cana-2947	191	8	a	a	DET
cana-2947	191	9	dataset	dataset	NOUN
cana-2947	191	10	of	of	ADP
cana-2947	191	11	real	real	ADJ
cana-2947	191	12	-	-	PUNCT
cana-2947	191	13	world	world	NOUN
cana-2947	191	14	patient	patient	NOUN
cana-2947	191	15	records	record	NOUN
cana-2947	191	16	,	,	PUNCT
cana-2947	191	17	as	as	ADV
cana-2947	191	18	well	well	ADV
cana-2947	191	19	as	as	ADP
cana-2947	191	20	synthetic	synthetic	ADJ
cana-2947	191	21	data	datum	NOUN
cana-2947	191	22	generated	generate	VERB
cana-2947	191	23	to	to	PART
cana-2947	191	24	simulate	simulate	VERB
cana-2947	191	25	diverse	diverse	ADJ
cana-2947	191	26	scenarios	scenario	NOUN
cana-2947	191	27	.	.	PUNCT
cana-2947	192	1	iot	iot	PROPN
cana-2947	192	2	devices	device	NOUN
cana-2947	192	3	are	be	AUX
cana-2947	192	4	deployed	deploy	VERB
cana-2947	192	5	in	in	ADP
cana-2947	192	6	a	a	DET
cana-2947	192	7	controlled	control	VERB
cana-2947	192	8	environment	environment	NOUN
cana-2947	192	9	,	,	PUNCT
cana-2947	192	10	and	and	CCONJ
cana-2947	192	11	their	their	PRON
cana-2947	192	12	performance	performance	NOUN
cana-2947	192	13	is	be	AUX
cana-2947	192	14	monitored	monitor	VERB
cana-2947	192	15	for	for	ADP
cana-2947	192	16	reliability	reliability	NOUN
cana-2947	192	17	and	and	CCONJ
cana-2947	192	18	robustness	robustness	NOUN
cana-2947	192	19	.	.	PUNCT
cana-2947	193	1	metrics	metric	NOUN
cana-2947	193	2	for	for	ADP
cana-2947	193	3	evaluation	evaluation	NOUN
cana-2947	193	4	the	the	DET
cana-2947	193	5	framework	framework	NOUN
cana-2947	193	6	is	be	AUX
cana-2947	193	7	evaluated	evaluate	VERB
cana-2947	193	8	using	use	VERB
cana-2947	193	9	the	the	DET
cana-2947	193	10	following	follow	VERB
cana-2947	193	11	metrics	metric	NOUN
cana-2947	193	12	:	:	PUNCT
cana-2947	194	1	1	1	X
cana-2947	194	2	.	.	X
cana-2947	194	3	accuracy	accuracy	NOUN
cana-2947	194	4	:	:	PUNCT
cana-2947	194	5	measures	measure	VERB
cana-2947	194	6	the	the	DET
cana-2947	194	7	percentage	percentage	NOUN
cana-2947	194	8	of	of	ADP
cana-2947	194	9	correct	correct	ADJ
cana-2947	194	10	predictions	prediction	NOUN
cana-2947	194	11	:	:	PUNCT
cana-2947	194	12	accuracy	accuracy	NOUN
cana-2947	194	13	=	=	PRON
cana-2947	194	14	tp	tp	X
cana-2947	194	15	+	+	CCONJ
cana-2947	194	16	tn	tn	NOUN
cana-2947	194	17	tp	tp	NOUN
cana-2947	194	18	+	+	CCONJ
cana-2947	194	19	fp	fp	PROPN
cana-2947	194	20	+	+	NUM
cana-2947	194	21	tn	tn	PROPN
cana-2947	195	1	+	+	CCONJ
cana-2947	195	2	fn	fn	PROPN
cana-2947	195	3	2	2	NUM
cana-2947	195	4	.	.	PUNCT
cana-2947	195	5	latency	latency	NOUN
cana-2947	195	6	:	:	PUNCT
cana-2947	195	7	assesses	assess	VERB
cana-2947	195	8	the	the	DET
cana-2947	195	9	time	time	NOUN
cana-2947	195	10	taken	take	VERB
cana-2947	195	11	to	to	PART
cana-2947	195	12	process	process	VERB
cana-2947	195	13	and	and	CCONJ
cana-2947	195	14	analyze	analyze	VERB
cana-2947	195	15	each	each	DET
cana-2947	195	16	data	datum	NOUN
cana-2947	195	17	packet	packet	NOUN
cana-2947	195	18	.	.	PUNCT
cana-2947	196	1	3	3	X
cana-2947	196	2	.	.	X
cana-2947	196	3	energy	energy	NOUN
cana-2947	196	4	efficiency	efficiency	NOUN
cana-2947	196	5	:	:	PUNCT
cana-2947	196	6	evaluates	evaluate	VERB
cana-2947	196	7	the	the	DET
cana-2947	196	8	power	power	NOUN
cana-2947	196	9	consumption	consumption	NOUN
cana-2947	196	10	of	of	ADP
cana-2947	196	11	iot	iot	ADJ
cana-2947	196	12	devices	device	NOUN
cana-2947	196	13	.	.	PUNCT
cana-2947	197	1	4	4	X
cana-2947	197	2	.	.	X
cana-2947	197	3	user	user	NOUN
cana-2947	197	4	satisfaction	satisfaction	NOUN
cana-2947	197	5	:	:	PUNCT
cana-2947	197	6	measures	measure	NOUN
cana-2947	197	7	ease	ease	NOUN
cana-2947	197	8	of	of	ADP
cana-2947	197	9	use	use	NOUN
cana-2947	197	10	and	and	CCONJ
cana-2947	197	11	overall	overall	ADJ
cana-2947	197	12	experience	experience	NOUN
cana-2947	197	13	using	use	VERB
cana-2947	197	14	surveys	survey	NOUN
cana-2947	197	15	.	.	PUNCT
cana-2947	198	1	table	table	NOUN
cana-2947	198	2	9	9	NUM
cana-2947	198	3	:	:	PUNCT
cana-2947	198	4	performance	performance	NOUN
cana-2947	198	5	metrics	metric	NOUN
cana-2947	198	6	for	for	ADP
cana-2947	198	7	evaluation	evaluation	NOUN
cana-2947	198	8	metric	metric	ADJ
cana-2947	198	9	formula	formula	NOUN
cana-2947	198	10	/	/	SYM
cana-2947	198	11	measurement	measurement	NOUN
cana-2947	198	12	purpose	purpose	NOUN
cana-2947	198	13	accuracy	accuracy	NOUN
cana-2947	198	14	tp	tp	ADP
cana-2947	198	15	+	+	CCONJ
cana-2947	198	16	tn	tn	NOUN
cana-2947	198	17	total	total	NOUN
cana-2947	198	18	samples	sample	NOUN
cana-2947	198	19	validate	validate	VERB
cana-2947	198	20	prediction	prediction	NOUN
cana-2947	198	21	reliability	reliability	NOUN
cana-2947	198	22	latency	latency	NOUN
cana-2947	198	23	time	time	NOUN
cana-2947	198	24	(	(	PUNCT
cana-2947	198	25	ms	ms	NOUN
cana-2947	198	26	)	)	PUNCT
cana-2947	198	27	per	per	ADP
cana-2947	198	28	data	data	NOUN
cana-2947	198	29	packet	packet	NOUN
cana-2947	198	30	ensure	ensure	VERB
cana-2947	198	31	real	real	ADJ
cana-2947	198	32	-	-	PUNCT
cana-2947	198	33	time	time	NOUN
cana-2947	198	34	responsiveness	responsiveness	NOUN
cana-2947	198	35	energy	energy	NOUN
cana-2947	198	36	efficiency	efficiency	NOUN
cana-2947	198	37	power	power	NOUN
cana-2947	198	38	usage	usage	NOUN
cana-2947	198	39	(	(	PUNCT
cana-2947	198	40	mah	mah	ADJ
cana-2947	198	41	/	/	SYM
cana-2947	198	42	day	day	NOUN
cana-2947	198	43	)	)	PUNCT
cana-2947	198	44	optimize	optimize	NOUN
cana-2947	198	45	iot	iot	ADJ
cana-2947	198	46	device	device	NOUN
cana-2947	198	47	performance	performance	NOUN
cana-2947	198	48	user	user	NOUN
cana-2947	198	49	satisfaction	satisfaction	NOUN
cana-2947	198	50	survey	survey	NOUN
cana-2947	198	51	scores	score	NOUN
cana-2947	198	52	(	(	PUNCT
cana-2947	198	53	1–5	1–5	X
cana-2947	198	54	)	)	PUNCT
cana-2947	198	55	assess	assess	NOUN
cana-2947	198	56	usability	usability	NOUN
cana-2947	198	57	and	and	CCONJ
cana-2947	198	58	user	user	NOUN
cana-2947	198	59	experience	experience	NOUN
cana-2947	198	60	validation	validation	NOUN
cana-2947	198	61	results	result	NOUN
cana-2947	198	62	preliminary	preliminary	ADJ
cana-2947	198	63	results	result	NOUN
cana-2947	198	64	indicate	indicate	VERB
cana-2947	198	65	that	that	SCONJ
cana-2947	198	66	the	the	DET
cana-2947	198	67	system	system	NOUN
cana-2947	198	68	achieves	achieve	VERB
cana-2947	198	69	an	an	DET
cana-2947	198	70	accuracy	accuracy	NOUN
cana-2947	198	71	of	of	ADP
cana-2947	198	72	over	over	ADP
cana-2947	198	73	90	90	NUM
cana-2947	198	74	%	%	NOUN
cana-2947	198	75	in	in	ADP
cana-2947	198	76	predicting	predict	VERB
cana-2947	198	77	liver	liver	NOUN
cana-2947	198	78	diseases	disease	NOUN
cana-2947	198	79	,	,	PUNCT
cana-2947	198	80	with	with	ADP
cana-2947	198	81	an	an	DET
cana-2947	198	82	average	average	ADJ
cana-2947	198	83	latency	latency	NOUN
cana-2947	198	84	of	of	ADP
cana-2947	198	85	less	less	ADJ
cana-2947	198	86	than	than	ADP
cana-2947	198	87	200	200	NUM
cana-2947	198	88	milliseconds	millisecond	NOUN
cana-2947	198	89	per	per	ADP
cana-2947	198	90	prediction	prediction	NOUN
cana-2947	198	91	.	.	PUNCT
cana-2947	199	1	iot	iot	PROPN
cana-2947	199	2	devices	device	NOUN
cana-2947	199	3	demonstrate	demonstrate	VERB
cana-2947	199	4	a	a	DET
cana-2947	199	5	battery	battery	NOUN
cana-2947	199	6	life	life	NOUN
cana-2947	199	7	of	of	ADP
cana-2947	199	8	approximately	approximately	ADV
cana-2947	199	9	48	48	NUM
cana-2947	199	10	hours	hour	NOUN
cana-2947	199	11	under	under	ADP
cana-2947	199	12	continuous	continuous	ADJ
cana-2947	199	13	operation	operation	NOUN
cana-2947	199	14	,	,	PUNCT
cana-2947	199	15	meeting	meet	VERB
cana-2947	199	16	the	the	DET
cana-2947	199	17	requirements	requirement	NOUN
cana-2947	199	18	for	for	ADP
cana-2947	199	19	practical	practical	ADJ
cana-2947	199	20	deployment	deployment	NOUN
cana-2947	199	21	.	.	PUNCT
cana-2947	200	1	communications	communication	NOUN
cana-2947	200	2	on	on	ADP
cana-2947	200	3	applied	apply	VERB
cana-2947	200	4	nonlinear	nonlinear	ADJ
cana-2947	200	5	analysis	analysis	NOUN
cana-2947	200	6	issn	issn	NOUN
cana-2947	200	7	:	:	PUNCT
cana-2947	200	8	1074	1074	NUM
cana-2947	200	9	-	-	PUNCT
cana-2947	200	10	133x	133x	NUM
cana-2947	200	11	vol	vol	NOUN
cana-2947	200	12	32	32	NUM
cana-2947	200	13	no	no	NOUN
cana-2947	200	14	.	.	PUNCT
cana-2947	201	1	5s	5s	NUM
cana-2947	201	2	(	(	PUNCT
cana-2947	201	3	2025	2025	NUM
cana-2947	201	4	)	)	PUNCT
cana-2947	201	5	64	64	NUM
cana-2947	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	201	7	scalability	scalability	NOUN
cana-2947	201	8	testing	testing	NOUN
cana-2947	201	9	to	to	PART
cana-2947	201	10	test	test	NOUN
cana-2947	201	11	scalability	scalability	NOUN
cana-2947	201	12	,	,	PUNCT
cana-2947	201	13	the	the	DET
cana-2947	201	14	system	system	NOUN
cana-2947	201	15	is	be	AUX
cana-2947	201	16	evaluated	evaluate	VERB
cana-2947	201	17	under	under	ADP
cana-2947	201	18	different	different	ADJ
cana-2947	201	19	workloads	workload	NOUN
cana-2947	201	20	,	,	PUNCT
cana-2947	201	21	ranging	range	VERB
cana-2947	201	22	from	from	ADP
cana-2947	201	23	a	a	DET
cana-2947	201	24	single	single	ADJ
cana-2947	201	25	device	device	NOUN
cana-2947	201	26	to	to	ADP
cana-2947	201	27	100	100	NUM
cana-2947	201	28	simultaneous	simultaneous	ADJ
cana-2947	201	29	devices	device	NOUN
cana-2947	201	30	.	.	PUNCT
cana-2947	202	1	the	the	DET
cana-2947	202	2	results	result	NOUN
cana-2947	202	3	show	show	VERB
cana-2947	202	4	that	that	SCONJ
cana-2947	202	5	the	the	DET
cana-2947	202	6	cloud	cloud	NOUN
cana-2947	202	7	infrastructure	infrastructure	NOUN
cana-2947	202	8	can	can	AUX
cana-2947	202	9	handle	handle	VERB
cana-2947	202	10	large	large	ADJ
cana-2947	202	11	-	-	PUNCT
cana-2947	202	12	scale	scale	NOUN
cana-2947	202	13	deployments	deployment	NOUN
cana-2947	202	14	without	without	ADP
cana-2947	202	15	significant	significant	ADJ
cana-2947	202	16	performance	performance	NOUN
cana-2947	202	17	degradation	degradation	NOUN
cana-2947	202	18	.	.	PUNCT
cana-2947	203	1	deployment	deployment	NOUN
cana-2947	203	2	and	and	CCONJ
cana-2947	203	3	feedback	feedback	VERB
cana-2947	203	4	the	the	DET
cana-2947	203	5	system	system	NOUN
cana-2947	203	6	is	be	AUX
cana-2947	203	7	deployed	deploy	VERB
cana-2947	203	8	in	in	ADP
cana-2947	203	9	a	a	DET
cana-2947	203	10	pilot	pilot	NOUN
cana-2947	203	11	study	study	NOUN
cana-2947	203	12	involving	involve	VERB
cana-2947	203	13	50	50	NUM
cana-2947	203	14	patients	patient	NOUN
cana-2947	203	15	diagnosed	diagnose	VERB
cana-2947	203	16	with	with	ADP
cana-2947	203	17	various	various	ADJ
cana-2947	203	18	liver	liver	NOUN
cana-2947	203	19	conditions	condition	NOUN
cana-2947	203	20	.	.	PUNCT
cana-2947	204	1	feedback	feedback	NOUN
cana-2947	204	2	from	from	ADP
cana-2947	204	3	patients	patient	NOUN
cana-2947	204	4	and	and	CCONJ
cana-2947	204	5	healthcare	healthcare	NOUN
cana-2947	204	6	providers	provider	NOUN
cana-2947	204	7	is	be	AUX
cana-2947	204	8	collected	collect	VERB
cana-2947	204	9	to	to	PART
cana-2947	204	10	refine	refine	VERB
cana-2947	204	11	the	the	DET
cana-2947	204	12	framework	framework	NOUN
cana-2947	204	13	further	far	ADV
cana-2947	204	14	.	.	PUNCT
cana-2947	205	1	algorithm	algorithm	NOUN
cana-2947	205	2	5	5	NUM
cana-2947	205	3	:	:	PUNCT
cana-2947	205	4	system	system	NOUN
cana-2947	205	5	validation	validation	NOUN
cana-2947	205	6	pipeline	pipeline	NOUN
cana-2947	205	7	1	1	NUM
cana-2947	205	8	.	.	PUNCT
cana-2947	205	9	setup	setup	NOUN
cana-2947	205	10	environment	environment	NOUN
cana-2947	205	11	:	:	PUNCT
cana-2947	205	12	o	o	NOUN
cana-2947	205	13	deploy	deploy	VERB
cana-2947	205	14	iot	iot	NOUN
cana-2947	205	15	devices	device	NOUN
cana-2947	205	16	and	and	CCONJ
cana-2947	205	17	cloud	cloud	NOUN
cana-2947	205	18	infrastructure	infrastructure	NOUN
cana-2947	205	19	.	.	PUNCT
cana-2947	206	1	2	2	X
cana-2947	206	2	.	.	X
cana-2947	206	3	test	test	NOUN
cana-2947	206	4	iot	iot	PROPN
cana-2947	206	5	devices	device	NOUN
cana-2947	206	6	:	:	PUNCT
cana-2947	206	7	o	o	NOUN
cana-2947	206	8	monitor	monitor	NOUN
cana-2947	206	9	sensor	sensor	NOUN
cana-2947	206	10	reliability	reliability	NOUN
cana-2947	206	11	and	and	CCONJ
cana-2947	206	12	energy	energy	NOUN
cana-2947	206	13	efficiency	efficiency	NOUN
cana-2947	206	14	.	.	PUNCT
cana-2947	207	1	3	3	X
cana-2947	207	2	.	.	X
cana-2947	207	3	evaluate	evaluate	VERB
cana-2947	207	4	ml	ml	NOUN
cana-2947	207	5	models	model	NOUN
cana-2947	207	6	:	:	PUNCT
cana-2947	207	7	o	o	NOUN
cana-2947	207	8	compute	compute	NOUN
cana-2947	207	9	metrics	metric	NOUN
cana-2947	207	10	such	such	ADJ
cana-2947	207	11	as	as	ADP
cana-2947	207	12	accuracy	accuracy	NOUN
cana-2947	207	13	,	,	PUNCT
cana-2947	207	14	precision	precision	NOUN
cana-2947	207	15	,	,	PUNCT
cana-2947	207	16	and	and	CCONJ
cana-2947	207	17	latency	latency	NOUN
cana-2947	207	18	.	.	PUNCT
cana-2947	208	1	4	4	X
cana-2947	208	2	.	.	X
cana-2947	208	3	conduct	conduct	NOUN
cana-2947	208	4	user	user	NOUN
cana-2947	208	5	study	study	NOUN
cana-2947	208	6	:	:	PUNCT
cana-2947	208	7	o	o	NOUN
cana-2947	208	8	gather	gather	NOUN
cana-2947	208	9	user	user	NOUN
cana-2947	208	10	feedback	feedback	NOUN
cana-2947	208	11	through	through	ADP
cana-2947	208	12	surveys	survey	NOUN
cana-2947	208	13	and	and	CCONJ
cana-2947	208	14	interviews	interview	NOUN
cana-2947	208	15	.	.	PUNCT
cana-2947	209	1	5	5	X
cana-2947	209	2	.	.	X
cana-2947	209	3	analyze	analyze	NOUN
cana-2947	209	4	results	result	VERB
cana-2947	209	5	:	:	PUNCT
cana-2947	209	6	o	o	NOUN
cana-2947	209	7	compare	compare	NOUN
cana-2947	209	8	system	system	NOUN
cana-2947	209	9	performance	performance	NOUN
cana-2947	209	10	with	with	ADP
cana-2947	209	11	benchmarks	benchmark	NOUN
cana-2947	209	12	.	.	PUNCT
cana-2947	210	1	the	the	DET
cana-2947	210	2	real	real	ADJ
cana-2947	210	3	-	-	PUNCT
cana-2947	210	4	time	time	NOUN
cana-2947	210	5	analysis	analysis	NOUN
cana-2947	210	6	and	and	CCONJ
cana-2947	210	7	monitoring	monitoring	NOUN
cana-2947	210	8	component	component	NOUN
cana-2947	210	9	ensures	ensure	VERB
cana-2947	210	10	continuous	continuous	ADJ
cana-2947	210	11	tracking	tracking	NOUN
cana-2947	210	12	and	and	CCONJ
cana-2947	210	13	immediate	immediate	ADJ
cana-2947	210	14	risk	risk	NOUN
cana-2947	210	15	notification	notification	NOUN
cana-2947	210	16	,	,	PUNCT
cana-2947	210	17	while	while	SCONJ
cana-2947	210	18	the	the	DET
cana-2947	210	19	system	system	NOUN
cana-2947	210	20	validation	validation	NOUN
cana-2947	210	21	phase	phase	NOUN
cana-2947	210	22	establishes	establish	VERB
cana-2947	210	23	the	the	DET
cana-2947	210	24	framework	framework	NOUN
cana-2947	210	25	's	's	PART
cana-2947	210	26	reliability	reliability	NOUN
cana-2947	210	27	,	,	PUNCT
cana-2947	210	28	scalability	scalability	NOUN
cana-2947	210	29	,	,	PUNCT
cana-2947	210	30	and	and	CCONJ
cana-2947	210	31	user	user	NOUN
cana-2947	210	32	satisfaction	satisfaction	NOUN
cana-2947	210	33	.	.	PUNCT
cana-2947	211	1	together	together	ADV
cana-2947	211	2	,	,	PUNCT
cana-2947	211	3	these	these	DET
cana-2947	211	4	components	component	NOUN
cana-2947	211	5	complete	complete	VERB
cana-2947	211	6	the	the	DET
cana-2947	211	7	methodology	methodology	NOUN
cana-2947	211	8	,	,	PUNCT
cana-2947	211	9	making	make	VERB
cana-2947	211	10	it	it	PRON
cana-2947	211	11	robust	robust	ADJ
cana-2947	211	12	,	,	PUNCT
cana-2947	211	13	efficient	efficient	ADJ
cana-2947	211	14	,	,	PUNCT
cana-2947	211	15	and	and	CCONJ
cana-2947	211	16	ready	ready	ADJ
cana-2947	211	17	for	for	ADP
cana-2947	211	18	deployment	deployment	NOUN
cana-2947	211	19	in	in	ADP
cana-2947	211	20	real	real	ADJ
cana-2947	211	21	-	-	PUNCT
cana-2947	211	22	world	world	NOUN
cana-2947	211	23	healthcare	healthcare	NOUN
cana-2947	211	24	settings	setting	NOUN
cana-2947	211	25	.	.	PUNCT
cana-2947	212	1	4	4	X
cana-2947	212	2	.	.	NOUN
cana-2947	212	3	results	result	VERB
cana-2947	212	4	the	the	DET
cana-2947	212	5	proposed	propose	VERB
cana-2947	212	6	framework	framework	NOUN
cana-2947	212	7	,	,	PUNCT
cana-2947	212	8	combining	combine	VERB
cana-2947	212	9	iot	iot	NOUN
cana-2947	212	10	,	,	PUNCT
cana-2947	212	11	ml	ml	ADP
cana-2947	212	12	,	,	PUNCT
cana-2947	212	13	and	and	CCONJ
cana-2947	212	14	cloud	cloud	NOUN
cana-2947	212	15	technologies	technology	NOUN
cana-2947	212	16	for	for	ADP
cana-2947	212	17	liver	liver	NOUN
cana-2947	212	18	disease	disease	NOUN
cana-2947	212	19	detection	detection	NOUN
cana-2947	212	20	,	,	PUNCT
cana-2947	212	21	was	be	AUX
cana-2947	212	22	evaluated	evaluate	VERB
cana-2947	212	23	for	for	ADP
cana-2947	212	24	its	its	PRON
cana-2947	212	25	performance	performance	NOUN
cana-2947	212	26	,	,	PUNCT
cana-2947	212	27	scalability	scalability	NOUN
cana-2947	212	28	,	,	PUNCT
cana-2947	212	29	and	and	CCONJ
cana-2947	212	30	reliability	reliability	NOUN
cana-2947	212	31	.	.	PUNCT
cana-2947	213	1	this	this	DET
cana-2947	213	2	section	section	NOUN
cana-2947	213	3	presents	present	VERB
cana-2947	213	4	the	the	DET
cana-2947	213	5	findings	finding	NOUN
cana-2947	213	6	,	,	PUNCT
cana-2947	213	7	detailing	detail	VERB
cana-2947	213	8	key	key	ADJ
cana-2947	213	9	metrics	metric	NOUN
cana-2947	213	10	,	,	PUNCT
cana-2947	213	11	comparative	comparative	ADJ
cana-2947	213	12	analyses	analysis	NOUN
cana-2947	213	13	,	,	PUNCT
cana-2947	213	14	and	and	CCONJ
cana-2947	213	15	insights	insight	NOUN
cana-2947	213	16	derived	derive	VERB
cana-2947	213	17	from	from	ADP
cana-2947	213	18	experimental	experimental	ADJ
cana-2947	213	19	setups	setup	NOUN
cana-2947	213	20	and	and	CCONJ
cana-2947	213	21	validation	validation	NOUN
cana-2947	213	22	studies	study	NOUN
cana-2947	213	23	.	.	PUNCT
cana-2947	214	1	performance	performance	NOUN
cana-2947	214	2	evaluation	evaluation	NOUN
cana-2947	214	3	the	the	DET
cana-2947	214	4	framework	framework	NOUN
cana-2947	214	5	achieved	achieve	VERB
cana-2947	214	6	high	high	ADJ
cana-2947	214	7	accuracy	accuracy	NOUN
cana-2947	214	8	in	in	ADP
cana-2947	214	9	predicting	predict	VERB
cana-2947	214	10	liver	liver	NOUN
cana-2947	214	11	diseases	disease	NOUN
cana-2947	214	12	,	,	PUNCT
cana-2947	214	13	as	as	SCONJ
cana-2947	214	14	demonstrated	demonstrate	VERB
cana-2947	214	15	by	by	ADP
cana-2947	214	16	rigorous	rigorous	ADJ
cana-2947	214	17	validation	validation	NOUN
cana-2947	214	18	on	on	ADP
cana-2947	214	19	clinical	clinical	ADJ
cana-2947	214	20	datasets	dataset	NOUN
cana-2947	214	21	.	.	PUNCT
cana-2947	215	1	key	key	ADJ
cana-2947	215	2	metrics	metric	NOUN
cana-2947	215	3	such	such	ADJ
cana-2947	215	4	as	as	ADP
cana-2947	215	5	precision	precision	NOUN
cana-2947	215	6	,	,	PUNCT
cana-2947	215	7	recall	recall	NOUN
cana-2947	215	8	,	,	PUNCT
cana-2947	215	9	f1	f1	NOUN
cana-2947	215	10	-	-	PUNCT
cana-2947	215	11	score	score	NOUN
cana-2947	215	12	,	,	PUNCT
cana-2947	215	13	and	and	CCONJ
cana-2947	215	14	latency	latency	NOUN
cana-2947	215	15	were	be	AUX
cana-2947	215	16	calculated	calculate	VERB
cana-2947	215	17	to	to	PART
cana-2947	215	18	assess	assess	VERB
cana-2947	215	19	the	the	DET
cana-2947	215	20	diagnostic	diagnostic	ADJ
cana-2947	215	21	model	model	NOUN
cana-2947	215	22	.	.	PUNCT
cana-2947	216	1	key	key	ADJ
cana-2947	216	2	metrics	metric	NOUN
cana-2947	216	3	:	:	PUNCT
cana-2947	216	4	•	•	NUM
cana-2947	216	5	accuracy	accuracy	NOUN
cana-2947	216	6	:	:	PUNCT
cana-2947	216	7	over	over	ADP
cana-2947	216	8	90	90	NUM
cana-2947	216	9	%	%	NOUN
cana-2947	216	10	on	on	ADP
cana-2947	216	11	real	real	ADJ
cana-2947	216	12	-	-	PUNCT
cana-2947	216	13	world	world	NOUN
cana-2947	216	14	clinical	clinical	ADJ
cana-2947	216	15	datasets	dataset	NOUN
cana-2947	216	16	.	.	PUNCT
cana-2947	217	1	communications	communication	NOUN
cana-2947	217	2	on	on	ADP
cana-2947	217	3	applied	apply	VERB
cana-2947	217	4	nonlinear	nonlinear	ADJ
cana-2947	217	5	analysis	analysis	NOUN
cana-2947	217	6	issn	issn	NOUN
cana-2947	217	7	:	:	PUNCT
cana-2947	217	8	1074	1074	NUM
cana-2947	217	9	-	-	PUNCT
cana-2947	217	10	133x	133x	NUM
cana-2947	217	11	vol	vol	NOUN
cana-2947	217	12	32	32	NUM
cana-2947	217	13	no	no	NOUN
cana-2947	217	14	.	.	PUNCT
cana-2947	218	1	5s	5s	NUM
cana-2947	218	2	(	(	PUNCT
cana-2947	218	3	2025	2025	NUM
cana-2947	218	4	)	)	PUNCT
cana-2947	218	5	65	65	NUM
cana-2947	218	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2947	218	7	•	•	NUM
cana-2947	218	8	precision	precision	NOUN
cana-2947	218	9	and	and	CCONJ
cana-2947	218	10	recall	recall	NOUN
cana-2947	218	11	:	:	PUNCT
cana-2947	218	12	high	high	ADJ
cana-2947	218	13	precision	precision	NOUN
cana-2947	218	14	(	(	PUNCT
cana-2947	218	15	>	>	SYM
cana-2947	218	16	88	88	NUM
cana-2947	218	17	%	%	NOUN
cana-2947	218	18	)	)	PUNCT
cana-2947	218	19	and	and	CCONJ
cana-2947	218	20	recall	recall	INTJ
cana-2947	218	21	(	(	PUNCT
cana-2947	218	22	>	>	SYM
cana-2947	218	23	87	87	NUM
cana-2947	218	24	%	%	NOUN
cana-2947	218	25	)	)	PUNCT
cana-2947	218	26	ensured	ensure	VERB
cana-2947	218	27	minimal	minimal	ADJ
cana-2947	218	28	false	false	ADJ
cana-2947	218	29	positives	positive	NOUN
cana-2947	218	30	and	and	CCONJ
cana-2947	218	31	negatives	negative	NOUN
cana-2947	218	32	.	.	PUNCT
cana-2947	219	1	•	•	NUM
cana-2947	219	2	latency	latency	NOUN
cana-2947	219	3	:	:	PUNCT
cana-2947	219	4	real	real	ADJ
cana-2947	219	5	-	-	PUNCT
cana-2947	219	6	time	time	NOUN
cana-2947	219	7	predictions	prediction	NOUN
cana-2947	219	8	were	be	AUX
cana-2947	219	9	achieved	achieve	VERB
cana-2947	219	10	with	with	ADP
cana-2947	219	11	an	an	DET
cana-2947	219	12	average	average	ADJ
cana-2947	219	13	latency	latency	NOUN
cana-2947	219	14	of	of	ADP
cana-2947	219	15	<	<	X
cana-2947	219	16	200	200	NUM
cana-2947	219	17	milliseconds	millisecond	NOUN
cana-2947	219	18	per	per	ADP
cana-2947	219	19	data	data	NOUN
cana-2947	219	20	packet	packet	NOUN
cana-2947	219	21	.	.	PUNCT
cana-2947	220	1	table	table	NOUN
cana-2947	220	2	10	10	NUM
cana-2947	220	3	:	:	PUNCT
cana-2947	220	4	framework	framework	NOUN
cana-2947	220	5	performance	performance	NOUN
cana-2947	220	6	metrics	metric	NOUN
cana-2947	220	7	metric	metric	ADJ
cana-2947	220	8	value	value	NOUN
cana-2947	220	9	significance	significance	NOUN
cana-2947	220	10	accuracy	accuracy	NOUN
cana-2947	220	11	(	(	PUNCT
cana-2947	220	12	%	%	INTJ
cana-2947	220	13	)	)	PUNCT
cana-2947	220	14	90.2	90.2	NUM
cana-2947	220	15	ensures	ensure	VERB
cana-2947	220	16	reliable	reliable	ADJ
cana-2947	220	17	detection	detection	NOUN
cana-2947	220	18	of	of	ADP
cana-2947	220	19	liver	liver	NOUN
cana-2947	220	20	diseases	disease	NOUN
cana-2947	220	21	precision	precision	NOUN
cana-2947	220	22	(	(	PUNCT
cana-2947	220	23	%	%	INTJ
cana-2947	220	24	)	)	PUNCT
cana-2947	220	25	88.4	88.4	NUM
cana-2947	220	26	reduces	reduce	VERB
cana-2947	220	27	false	false	ADJ
cana-2947	220	28	alarms	alarm	NOUN
cana-2947	220	29	recall	recall	VERB
cana-2947	220	30	(	(	PUNCT
cana-2947	220	31	%	%	NOUN
cana-2947	220	32	)	)	PUNCT
cana-2947	220	33	87.1	87.1	NUM
cana-2947	220	34	ensures	ensure	VERB
cana-2947	220	35	minimal	minimal	ADJ
cana-2947	220	36	missed	miss	VERB
cana-2947	220	37	cases	case	NOUN
cana-2947	220	38	of	of	ADP
cana-2947	220	39	liver	liver	NOUN
cana-2947	220	40	disease	disease	NOUN
cana-2947	220	41	f1	f1	NOUN
cana-2947	220	42	-	-	PUNCT
cana-2947	220	43	score	score	NOUN
cana-2947	220	44	87.7	87.7	NUM
cana-2947	220	45	balances	balance	NOUN
cana-2947	220	46	precision	precision	NOUN
cana-2947	220	47	and	and	CCONJ
cana-2947	220	48	recall	recall	NOUN
cana-2947	220	49	latency	latency	PROPN
cana-2947	220	50	(	(	PUNCT
cana-2947	220	51	ms	ms	PROPN
cana-2947	220	52	)	)	PUNCT
cana-2947	220	53	185	185	NUM
cana-2947	220	54	supports	support	VERB
cana-2947	220	55	real	real	ADJ
cana-2947	220	56	-	-	PUNCT
cana-2947	220	57	time	time	NOUN
cana-2947	220	58	monitoring	monitoring	NOUN
cana-2947	220	59	and	and	CCONJ
cana-2947	220	60	alerts	alert	VERB
cana-2947	220	61	comparison	comparison	NOUN
cana-2947	220	62	with	with	ADP
cana-2947	220	63	existing	exist	VERB
cana-2947	220	64	frameworks	framework	NOUN
cana-2947	220	65	the	the	DET
cana-2947	220	66	proposed	propose	VERB
cana-2947	220	67	system	system	NOUN
cana-2947	220	68	was	be	AUX
cana-2947	220	69	benchmarked	benchmarke	VERB
cana-2947	220	70	against	against	ADP
cana-2947	220	71	traditional	traditional	ADJ
cana-2947	220	72	and	and	CCONJ
cana-2947	220	73	other	other	ADJ
cana-2947	220	74	iot	iot	NOUN
cana-2947	220	75	-	-	PUNCT
cana-2947	220	76	based	base	VERB
cana-2947	220	77	liver	liver	NOUN
cana-2947	220	78	diagnostic	diagnostic	ADJ
cana-2947	220	79	solutions	solution	NOUN
cana-2947	220	80	.	.	PUNCT
cana-2947	221	1	results	result	NOUN
cana-2947	221	2	indicate	indicate	VERB
cana-2947	221	3	significant	significant	ADJ
cana-2947	221	4	improvements	improvement	NOUN
cana-2947	221	5	in	in	ADP
cana-2947	221	6	efficiency	efficiency	NOUN
cana-2947	221	7	,	,	PUNCT
cana-2947	221	8	accuracy	accuracy	NOUN
cana-2947	221	9	,	,	PUNCT
cana-2947	221	10	and	and	CCONJ
cana-2947	221	11	scalability	scalability	NOUN
cana-2947	221	12	.	.	PUNCT
cana-2947	222	1	table	table	NOUN
cana-2947	222	2	11	11	NUM
cana-2947	222	3	:	:	PUNCT
cana-2947	222	4	comparison	comparison	NOUN
cana-2947	222	5	with	with	ADP
cana-2947	222	6	existing	exist	VERB
cana-2947	222	7	systems	system	NOUN
cana-2947	222	8	framework	framework	NOUN
cana-2947	222	9	accuracy	accuracy	NOUN
cana-2947	222	10	(	(	PUNCT
cana-2947	222	11	%	%	INTJ
cana-2947	222	12	)	)	PUNCT
cana-2947	222	13	latency	latency	NOUN
cana-2947	222	14	(	(	PUNCT
cana-2947	222	15	ms	ms	PROPN
cana-2947	222	16	)	)	PUNCT
cana-2947	222	17	energy	energy	NOUN
cana-2947	222	18	efficiency	efficiency	NOUN
cana-2947	222	19	scalability	scalability	NOUN
cana-2947	222	20	traditional	traditional	ADJ
cana-2947	222	21	methods	method	NOUN
cana-2947	222	22	75.5	75.5	NUM
cana-2947	222	23	>	>	SYM
cana-2947	222	24	1000	1000	NUM
cana-2947	222	25	low	low	ADJ
cana-2947	222	26	low	low	ADJ
cana-2947	222	27	iot	iot	NOUN
cana-2947	222	28	-	-	PUNCT
cana-2947	222	29	livercare	livercare	NOUN
cana-2947	222	30	85.6	85.6	NUM
cana-2947	222	31	250	250	NUM
cana-2947	222	32	medium	medium	ADJ
cana-2947	222	33	medium	medium	ADJ
cana-2947	222	34	proposed	propose	VERB
cana-2947	222	35	framework	framework	NOUN
cana-2947	222	36	90.2	90.2	NUM
cana-2947	222	37	185	185	NUM
cana-2947	222	38	high	high	ADJ
cana-2947	222	39	high	high	ADJ
cana-2947	222	40	energy	energy	NOUN
cana-2947	222	41	efficiency	efficiency	NOUN
cana-2947	222	42	analysis	analysis	NOUN
cana-2947	222	43	battery	battery	NOUN
cana-2947	222	44	efficiency	efficiency	NOUN
cana-2947	222	45	of	of	ADP
cana-2947	222	46	iot	iot	PROPN
cana-2947	222	47	devices	device	NOUN
cana-2947	222	48	was	be	AUX
cana-2947	222	49	a	a	DET
cana-2947	222	50	critical	critical	ADJ
cana-2947	222	51	focus	focus	NOUN
cana-2947	222	52	.	.	PUNCT
cana-2947	223	1	prolonged	prolonged	ADJ
cana-2947	223	2	operation	operation	NOUN
cana-2947	223	3	of	of	ADP
cana-2947	223	4	sensors	sensor	NOUN
cana-2947	223	5	and	and	CCONJ
cana-2947	223	6	microcontrollers	microcontroller	NOUN
cana-2947	223	7	was	be	AUX
cana-2947	223	8	ensured	ensure	VERB
cana-2947	223	9	by	by	ADP
cana-2947	223	10	optimizing	optimize	VERB
cana-2947	223	11	power	power	NOUN
cana-2947	223	12	consumption	consumption	NOUN
cana-2947	223	13	.	.	PUNCT
cana-2947	224	1	table	table	NOUN
cana-2947	224	2	12	12	NUM
cana-2947	224	3	:	:	PUNCT
cana-2947	224	4	battery	battery	NOUN
cana-2947	224	5	performance	performance	NOUN
cana-2947	224	6	component	component	NOUN
cana-2947	224	7	power	power	NOUN
cana-2947	224	8	usage	usage	NOUN
cana-2947	224	9	(	(	PUNCT
cana-2947	224	10	mah	mah	ADJ
cana-2947	224	11	/	/	SYM
cana-2947	224	12	day	day	NOUN
cana-2947	224	13	)	)	PUNCT
cana-2947	224	14	operational	operational	ADJ
cana-2947	224	15	hours	hour	NOUN
cana-2947	224	16	charging	charge	VERB
cana-2947	224	17	interval	interval	NOUN
cana-2947	224	18	wearable	wearable	ADJ
cana-2947	224	19	sensors	sensor	NOUN
cana-2947	224	20	120	120	NUM
cana-2947	224	21	48	48	NUM
cana-2947	224	22	every	every	DET
cana-2947	224	23	2	2	NUM
cana-2947	224	24	days	day	NOUN
cana-2947	224	25	microcontroller	microcontroller	NOUN
cana-2947	224	26	200	200	NUM
cana-2947	224	27	48	48	NUM
cana-2947	224	28	every	every	DET
cana-2947	224	29	2	2	NUM
cana-2947	224	30	days	day	NOUN
cana-2947	224	31	graphical	graphical	ADJ
cana-2947	224	32	representation	representation	NOUN
cana-2947	224	33	of	of	ADP
cana-2947	224	34	power	power	NOUN
cana-2947	224	35	usage	usage	NOUN
cana-2947	224	36	trends	trend	NOUN
cana-2947	224	37	is	be	AUX
cana-2947	224	38	shown	show	VERB
cana-2947	224	39	in	in	ADP
cana-2947	224	40	figure	figure	NOUN
cana-2947	224	41	2	2	NUM
cana-2947	224	42	.	.	PUNCT
cana-2947	224	43	real	real	ADJ
cana-2947	224	44	-	-	PUNCT
cana-2947	224	45	time	time	NOUN
cana-2947	224	46	monitoring	monitor	VERB
cana-2947	224	47	continuous	continuous	ADJ
cana-2947	224	48	monitoring	monitoring	NOUN
cana-2947	224	49	enabled	enable	VERB
cana-2947	224	50	by	by	ADP
cana-2947	224	51	iot	iot	ADJ
cana-2947	224	52	sensors	sensor	NOUN
cana-2947	224	53	and	and	CCONJ
cana-2947	224	54	cloud	cloud	NOUN
cana-2947	224	55	analytics	analytic	NOUN
cana-2947	224	56	provided	provide	VERB
cana-2947	224	57	dynamic	dynamic	ADJ
cana-2947	224	58	insights	insight	NOUN
cana-2947	224	59	into	into	ADP
cana-2947	224	60	patient	patient	ADJ
cana-2947	224	61	vitals	vital	NOUN
cana-2947	224	62	.	.	PUNCT
cana-2947	225	1	critical	critical	ADJ
cana-2947	225	2	thresholds	threshold	NOUN
cana-2947	225	3	were	be	AUX
cana-2947	225	4	flagged	flag	VERB
cana-2947	225	5	for	for	ADP
cana-2947	225	6	immediate	immediate	ADJ
cana-2947	225	7	medical	medical	ADJ
cana-2947	225	8	intervention	intervention	NOUN
cana-2947	225	9	.	.	PUNCT
cana-2947	226	1	communications	communication	NOUN
cana-2947	226	2	on	on	ADP
cana-2947	226	3	applied	apply	VERB
cana-2947	226	4	nonlinear	nonlinear	ADJ
cana-2947	226	5	analysis	analysis	NOUN
cana-2947	226	6	issn	issn	NOUN
cana-2947	226	7	:	:	PUNCT
cana-2947	226	8	1074	1074	NUM
cana-2947	226	9	-	-	PUNCT
cana-2947	226	10	133x	133x	NUM
cana-2947	226	11	vol	vol	NOUN
cana-2947	226	12	32	32	NUM
cana-2947	226	13	no	no	NOUN
cana-2947	226	14	.	.	PUNCT
cana-2947	227	1	5s	5s	NUM
cana-2947	227	2	(	(	PUNCT
cana-2947	227	3	2025	2025	NUM
cana-2947	227	4	)	)	PUNCT
cana-2947	227	5	66	66	NUM
cana-2947	228	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	228	2	figure	figure	NOUN
cana-2947	228	3	2	2	NUM
cana-2947	228	4	:	:	PUNCT
cana-2947	228	5	power	power	NOUN
cana-2947	228	6	usage	usage	NOUN
cana-2947	228	7	trends	trend	NOUN
cana-2947	228	8	of	of	ADP
cana-2947	228	9	iot	iot	PROPN
cana-2947	228	10	devices	device	NOUN
cana-2947	228	11	figure	figure	VERB
cana-2947	228	12	3	3	NUM
cana-2947	228	13	:	:	PUNCT
cana-2947	228	14	real	real	ADJ
cana-2947	228	15	-	-	PUNCT
cana-2947	228	16	time	time	NOUN
cana-2947	228	17	risk	risk	NOUN
cana-2947	228	18	alerts	alert	NOUN
cana-2947	228	19	over	over	ADP
cana-2947	228	20	time	time	NOUN
cana-2947	228	21	data	datum	NOUN
cana-2947	228	22	security	security	NOUN
cana-2947	228	23	and	and	CCONJ
cana-2947	228	24	privacy	privacy	NOUN
cana-2947	228	25	ensuring	ensure	VERB
cana-2947	228	26	robust	robust	ADJ
cana-2947	228	27	security	security	NOUN
cana-2947	228	28	for	for	ADP
cana-2947	228	29	sensitive	sensitive	ADJ
cana-2947	228	30	patient	patient	ADJ
cana-2947	228	31	data	datum	NOUN
cana-2947	228	32	was	be	AUX
cana-2947	228	33	achieved	achieve	VERB
cana-2947	228	34	using	use	VERB
cana-2947	228	35	aes-256	aes-256	PROPN
cana-2947	228	36	encryption	encryption	NOUN
cana-2947	228	37	and	and	CCONJ
cana-2947	228	38	rolebased	rolebase	VERB
cana-2947	228	39	access	access	NOUN
cana-2947	228	40	controls	control	NOUN
cana-2947	228	41	.	.	PUNCT
cana-2947	229	1	no	no	DET
cana-2947	229	2	data	data	NOUN
cana-2947	229	3	breaches	breach	NOUN
cana-2947	229	4	were	be	AUX
cana-2947	229	5	reported	report	VERB
cana-2947	229	6	during	during	ADP
cana-2947	229	7	testing	test	VERB
cana-2947	229	8	phases	phase	NOUN
cana-2947	229	9	.	.	PUNCT
cana-2947	230	1	table	table	NOUN
cana-2947	230	2	13	13	NUM
cana-2947	230	3	:	:	PUNCT
cana-2947	230	4	data	datum	NOUN
cana-2947	230	5	security	security	NOUN
cana-2947	230	6	mechanisms	mechanism	NOUN
cana-2947	230	7	security	security	NOUN
cana-2947	230	8	feature	feature	NOUN
cana-2947	230	9	implementation	implementation	NOUN
cana-2947	230	10	level	level	NOUN
cana-2947	230	11	impact	impact	NOUN
cana-2947	230	12	aes-256	aes-256	PROPN
cana-2947	230	13	encryption	encryption	NOUN
cana-2947	230	14	packet	packet	NOUN
cana-2947	230	15	transmission	transmission	NOUN
cana-2947	230	16	ensures	ensure	VERB
cana-2947	230	17	confidentiality	confidentiality	NOUN
cana-2947	230	18	role	role	NOUN
cana-2947	230	19	-	-	PUNCT
cana-2947	230	20	based	base	VERB
cana-2947	230	21	access	access	NOUN
cana-2947	230	22	cloud	cloud	NOUN
cana-2947	230	23	and	and	CCONJ
cana-2947	230	24	app	app	NOUN
cana-2947	230	25	prevents	prevent	VERB
cana-2947	230	26	unauthorized	unauthorized	ADJ
cana-2947	230	27	access	access	NOUN
cana-2947	230	28	user	user	NOUN
cana-2947	230	29	feedback	feedback	NOUN
cana-2947	230	30	and	and	CCONJ
cana-2947	230	31	usability	usability	NOUN
cana-2947	230	32	a	a	DET
cana-2947	230	33	pilot	pilot	NOUN
cana-2947	230	34	study	study	NOUN
cana-2947	230	35	with	with	ADP
cana-2947	230	36	50	50	NUM
cana-2947	230	37	patients	patient	NOUN
cana-2947	230	38	provided	provide	VERB
cana-2947	230	39	valuable	valuable	ADJ
cana-2947	230	40	feedback	feedback	NOUN
cana-2947	230	41	.	.	PUNCT
cana-2947	231	1	most	most	ADJ
cana-2947	231	2	participants	participant	NOUN
cana-2947	231	3	found	find	VERB
cana-2947	231	4	the	the	DET
cana-2947	231	5	system	system	NOUN
cana-2947	231	6	userfriendly	userfriendly	ADV
cana-2947	231	7	and	and	CCONJ
cana-2947	231	8	reliable	reliable	ADJ
cana-2947	231	9	.	.	PUNCT
cana-2947	232	1	usability	usability	NOUN
cana-2947	232	2	metrics	metric	NOUN
cana-2947	232	3	were	be	AUX
cana-2947	232	4	assessed	assess	VERB
cana-2947	232	5	through	through	ADP
cana-2947	232	6	surveys	survey	NOUN
cana-2947	232	7	.	.	PUNCT
cana-2947	233	1	table	table	NOUN
cana-2947	233	2	14	14	NUM
cana-2947	233	3	:	:	PUNCT
cana-2947	233	4	usability	usability	NOUN
cana-2947	233	5	scores	score	NOUN
cana-2947	233	6	from	from	ADP
cana-2947	233	7	user	user	NOUN
cana-2947	233	8	feedback	feedback	NOUN
cana-2947	233	9	feature	feature	NOUN
cana-2947	233	10	average	average	ADJ
cana-2947	233	11	score	score	NOUN
cana-2947	233	12	(	(	PUNCT
cana-2947	233	13	1	1	NUM
cana-2947	233	14	-	-	SYM
cana-2947	233	15	5	5	NUM
cana-2947	233	16	)	)	PUNCT
cana-2947	233	17	description	description	NOUN
cana-2947	233	18	ease	ease	NOUN
cana-2947	233	19	of	of	ADP
cana-2947	233	20	use	use	NOUN
cana-2947	233	21	4.5	4.5	NUM
cana-2947	233	22	intuitive	intuitive	ADJ
cana-2947	233	23	design	design	NOUN
cana-2947	233	24	reliability	reliability	NOUN
cana-2947	233	25	4.7	4.7	NUM
cana-2947	233	26	accurate	accurate	ADJ
cana-2947	233	27	predictions	prediction	NOUN
cana-2947	233	28	alert	alert	NOUN
cana-2947	233	29	effectiveness	effectiveness	NOUN
cana-2947	233	30	4.6	4.6	NUM
cana-2947	233	31	timely	timely	ADJ
cana-2947	233	32	notifications	notification	NOUN
cana-2947	233	33	figure	figure	VERB
cana-2947	233	34	4	4	NUM
cana-2947	233	35	:	:	PUNCT
cana-2947	233	36	user	user	NOUN
cana-2947	233	37	feedback	feedback	NOUN
cana-2947	233	38	scores	score	NOUN
cana-2947	233	39	across	across	ADP
cana-2947	233	40	metrics	metric	NOUN
cana-2947	233	41	communications	communication	NOUN
cana-2947	233	42	on	on	ADP
cana-2947	233	43	applied	apply	VERB
cana-2947	233	44	nonlinear	nonlinear	ADJ
cana-2947	233	45	analysis	analysis	NOUN
cana-2947	233	46	issn	issn	NOUN
cana-2947	233	47	:	:	PUNCT
cana-2947	233	48	1074	1074	NUM
cana-2947	233	49	-	-	PUNCT
cana-2947	233	50	133x	133x	NUM
cana-2947	233	51	vol	vol	NOUN
cana-2947	233	52	32	32	NUM
cana-2947	233	53	no	no	NOUN
cana-2947	233	54	.	.	PUNCT
cana-2947	234	1	5s	5s	NUM
cana-2947	234	2	(	(	PUNCT
cana-2947	234	3	2025	2025	NUM
cana-2947	234	4	)	)	PUNCT
cana-2947	234	5	67	67	NUM
cana-2947	234	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	234	7	scalability	scalability	NOUN
cana-2947	234	8	testing	test	VERB
cana-2947	234	9	the	the	DET
cana-2947	234	10	framework	framework	NOUN
cana-2947	234	11	was	be	AUX
cana-2947	234	12	tested	test	VERB
cana-2947	234	13	under	under	ADP
cana-2947	234	14	various	various	ADJ
cana-2947	234	15	workloads	workload	NOUN
cana-2947	234	16	,	,	PUNCT
cana-2947	234	17	showing	show	VERB
cana-2947	234	18	minimal	minimal	ADJ
cana-2947	234	19	latency	latency	NOUN
cana-2947	234	20	increase	increase	NOUN
cana-2947	234	21	with	with	ADP
cana-2947	234	22	an	an	DET
cana-2947	234	23	increasing	increase	VERB
cana-2947	234	24	number	number	NOUN
cana-2947	234	25	of	of	ADP
cana-2947	234	26	devices	device	NOUN
cana-2947	234	27	.	.	PUNCT
cana-2947	235	1	this	this	PRON
cana-2947	235	2	ensures	ensure	VERB
cana-2947	235	3	suitability	suitability	NOUN
cana-2947	235	4	for	for	ADP
cana-2947	235	5	large	large	ADJ
cana-2947	235	6	-	-	PUNCT
cana-2947	235	7	scale	scale	NOUN
cana-2947	235	8	deployments	deployment	NOUN
cana-2947	235	9	.	.	PUNCT
cana-2947	236	1	table	table	NOUN
cana-2947	236	2	15	15	NUM
cana-2947	236	3	:	:	PUNCT
cana-2947	236	4	scalability	scalability	NOUN
cana-2947	236	5	results	result	VERB
cana-2947	236	6	number	number	NOUN
cana-2947	236	7	of	of	ADP
cana-2947	236	8	devices	device	NOUN
cana-2947	236	9	average	average	ADJ
cana-2947	236	10	latency	latency	NOUN
cana-2947	236	11	(	(	PUNCT
cana-2947	236	12	ms	ms	PROPN
cana-2947	236	13	)	)	PUNCT
cana-2947	236	14	cloud	cloud	NOUN
cana-2947	236	15	load	load	NOUN
cana-2947	236	16	(	(	PUNCT
cana-2947	236	17	%	%	NOUN
cana-2947	236	18	)	)	PUNCT
cana-2947	236	19	10	10	NUM
cana-2947	236	20	185	185	NUM
cana-2947	236	21	25	25	NUM
cana-2947	236	22	50	50	NUM
cana-2947	236	23	190	190	NUM
cana-2947	236	24	40	40	NUM
cana-2947	236	25	100	100	NUM
cana-2947	236	26	195	195	NUM
cana-2947	236	27	60	60	NUM
cana-2947	236	28	figure	figure	NOUN
cana-2947	236	29	5	5	NUM
cana-2947	236	30	:	:	PUNCT
cana-2947	236	31	cloud	cloud	NOUN
cana-2947	236	32	load	load	NOUN
cana-2947	236	33	vs.	vs.	ADP
cana-2947	236	34	device	device	NOUN
cana-2947	236	35	count	count	VERB
cana-2947	236	36	the	the	DET
cana-2947	236	37	proposed	propose	VERB
cana-2947	236	38	framework	framework	NOUN
cana-2947	236	39	outperformed	outperform	VERB
cana-2947	236	40	existing	exist	VERB
cana-2947	236	41	systems	system	NOUN
cana-2947	236	42	in	in	ADP
cana-2947	236	43	accuracy	accuracy	NOUN
cana-2947	236	44	,	,	PUNCT
cana-2947	236	45	scalability	scalability	NOUN
cana-2947	236	46	,	,	PUNCT
cana-2947	236	47	and	and	CCONJ
cana-2947	236	48	usability	usability	NOUN
cana-2947	236	49	.	.	PUNCT
cana-2947	237	1	its	its	PRON
cana-2947	237	2	cloud	cloud	NOUN
cana-2947	237	3	-	-	PUNCT
cana-2947	237	4	enabled	enable	VERB
cana-2947	237	5	iot	iot	NOUN
cana-2947	237	6	and	and	CCONJ
cana-2947	237	7	ml	ml	ADP
cana-2947	237	8	integration	integration	NOUN
cana-2947	237	9	offers	offer	VERB
cana-2947	237	10	transformative	transformative	ADJ
cana-2947	237	11	potential	potential	NOUN
cana-2947	237	12	for	for	ADP
cana-2947	237	13	proactive	proactive	ADJ
cana-2947	237	14	healthcare	healthcare	NOUN
cana-2947	237	15	delivery	delivery	NOUN
cana-2947	237	16	.	.	PUNCT
cana-2947	238	1	5	5	X
cana-2947	238	2	.	.	X
cana-2947	238	3	conclusion	conclusion	NOUN
cana-2947	238	4	this	this	DET
cana-2947	238	5	study	study	NOUN
cana-2947	238	6	introduces	introduce	VERB
cana-2947	238	7	a	a	DET
cana-2947	238	8	robust	robust	ADJ
cana-2947	238	9	cloud	cloud	NOUN
cana-2947	238	10	-	-	PUNCT
cana-2947	238	11	enabled	enable	VERB
cana-2947	238	12	iot	iot	NOUN
cana-2947	238	13	framework	framework	NOUN
cana-2947	238	14	for	for	ADP
cana-2947	238	15	liver	liver	NOUN
cana-2947	238	16	disease	disease	NOUN
cana-2947	238	17	detection	detection	NOUN
cana-2947	238	18	,	,	PUNCT
cana-2947	238	19	integrating	integrate	VERB
cana-2947	238	20	machine	machine	NOUN
cana-2947	238	21	learning	learning	NOUN
cana-2947	238	22	and	and	CCONJ
cana-2947	238	23	embedded	embed	VERB
cana-2947	238	24	electronics	electronic	NOUN
cana-2947	238	25	to	to	PART
cana-2947	238	26	provide	provide	VERB
cana-2947	238	27	an	an	DET
cana-2947	238	28	efficient	efficient	ADJ
cana-2947	238	29	,	,	PUNCT
cana-2947	238	30	scalable	scalable	ADJ
cana-2947	238	31	,	,	PUNCT
cana-2947	238	32	and	and	CCONJ
cana-2947	238	33	patient	patient	NOUN
cana-2947	238	34	-	-	PUNCT
cana-2947	238	35	centered	center	VERB
cana-2947	238	36	diagnostic	diagnostic	ADJ
cana-2947	238	37	system	system	NOUN
cana-2947	238	38	.	.	PUNCT
cana-2947	239	1	by	by	ADP
cana-2947	239	2	leveraging	leverage	VERB
cana-2947	239	3	wearable	wearable	ADJ
cana-2947	239	4	iot	iot	NOUN
cana-2947	239	5	sensors	sensor	NOUN
cana-2947	239	6	,	,	PUNCT
cana-2947	239	7	the	the	DET
cana-2947	239	8	framework	framework	NOUN
cana-2947	239	9	enables	enable	VERB
cana-2947	239	10	real	real	ADJ
cana-2947	239	11	-	-	PUNCT
cana-2947	239	12	time	time	NOUN
cana-2947	239	13	monitoring	monitoring	NOUN
cana-2947	239	14	of	of	ADP
cana-2947	239	15	critical	critical	ADJ
cana-2947	239	16	physiological	physiological	ADJ
cana-2947	239	17	parameters	parameter	NOUN
cana-2947	239	18	,	,	PUNCT
cana-2947	239	19	ensuring	ensure	VERB
cana-2947	239	20	early	early	ADJ
cana-2947	239	21	detection	detection	NOUN
cana-2947	239	22	and	and	CCONJ
cana-2947	239	23	timely	timely	ADJ
cana-2947	239	24	medical	medical	ADJ
cana-2947	239	25	intervention	intervention	NOUN
cana-2947	239	26	.	.	PUNCT
cana-2947	240	1	the	the	DET
cana-2947	240	2	adoption	adoption	NOUN
cana-2947	240	3	of	of	ADP
cana-2947	240	4	lightweight	lightweight	ADJ
cana-2947	240	5	communication	communication	NOUN
cana-2947	240	6	protocols	protocol	NOUN
cana-2947	240	7	and	and	CCONJ
cana-2947	240	8	advanced	advanced	ADJ
cana-2947	240	9	ml	ml	PROPN
cana-2947	240	10	algorithms	algorithm	NOUN
cana-2947	240	11	ensures	ensure	VERB
cana-2947	240	12	low	low	ADJ
cana-2947	240	13	-	-	PUNCT
cana-2947	240	14	latency	latency	NOUN
cana-2947	240	15	processing	processing	NOUN
cana-2947	240	16	,	,	PUNCT
cana-2947	240	17	scalability	scalability	NOUN
cana-2947	240	18	,	,	PUNCT
cana-2947	240	19	and	and	CCONJ
cana-2947	240	20	reliability	reliability	NOUN
cana-2947	240	21	in	in	ADP
cana-2947	240	22	resource	resource	NOUN
cana-2947	240	23	-	-	PUNCT
cana-2947	240	24	constrained	constrain	VERB
cana-2947	240	25	settings	setting	NOUN
cana-2947	240	26	.	.	PUNCT
cana-2947	241	1	the	the	DET
cana-2947	241	2	experimental	experimental	ADJ
cana-2947	241	3	results	result	NOUN
cana-2947	241	4	highlight	highlight	VERB
cana-2947	241	5	the	the	DET
cana-2947	241	6	system	system	NOUN
cana-2947	241	7	's	's	PART
cana-2947	241	8	capability	capability	NOUN
cana-2947	241	9	to	to	PART
cana-2947	241	10	achieve	achieve	VERB
cana-2947	241	11	high	high	ADJ
cana-2947	241	12	diagnostic	diagnostic	ADJ
cana-2947	241	13	accuracy	accuracy	NOUN
cana-2947	241	14	(	(	PUNCT
cana-2947	241	15	>	>	SYM
cana-2947	241	16	90	90	NUM
cana-2947	241	17	%	%	NOUN
cana-2947	241	18	)	)	PUNCT
cana-2947	241	19	,	,	PUNCT
cana-2947	241	20	minimal	minimal	ADJ
cana-2947	241	21	latency	latency	NOUN
cana-2947	241	22	(	(	PUNCT
cana-2947	241	23	<	<	X
cana-2947	241	24	200	200	NUM
cana-2947	241	25	milliseconds	millisecond	NOUN
cana-2947	241	26	)	)	PUNCT
cana-2947	241	27	,	,	PUNCT
cana-2947	241	28	and	and	CCONJ
cana-2947	241	29	significant	significant	ADJ
cana-2947	241	30	energy	energy	NOUN
cana-2947	241	31	efficiency	efficiency	NOUN
cana-2947	241	32	,	,	PUNCT
cana-2947	241	33	making	make	VERB
cana-2947	241	34	it	it	PRON
cana-2947	241	35	suitable	suitable	ADJ
cana-2947	241	36	for	for	ADP
cana-2947	241	37	continuous	continuous	ADJ
cana-2947	241	38	deployment	deployment	NOUN
cana-2947	241	39	.	.	PUNCT
cana-2947	242	1	comparative	comparative	ADJ
cana-2947	242	2	analyses	analysis	NOUN
cana-2947	242	3	demonstrated	demonstrate	VERB
cana-2947	242	4	that	that	SCONJ
cana-2947	242	5	the	the	DET
cana-2947	242	6	proposed	propose	VERB
cana-2947	242	7	framework	framework	NOUN
cana-2947	242	8	outperforms	outperform	VERB
cana-2947	242	9	existing	exist	VERB
cana-2947	242	10	solutions	solution	NOUN
cana-2947	242	11	in	in	ADP
cana-2947	242	12	accuracy	accuracy	NOUN
cana-2947	242	13	,	,	PUNCT
cana-2947	242	14	usability	usability	NOUN
cana-2947	242	15	,	,	PUNCT
cana-2947	242	16	and	and	CCONJ
cana-2947	242	17	scalability	scalability	NOUN
cana-2947	242	18	,	,	PUNCT
cana-2947	242	19	offering	offer	VERB
cana-2947	242	20	a	a	DET
cana-2947	242	21	transformative	transformative	ADJ
cana-2947	242	22	approach	approach	NOUN
cana-2947	242	23	to	to	ADP
cana-2947	242	24	liver	liver	NOUN
cana-2947	242	25	disease	disease	NOUN
cana-2947	242	26	management	management	NOUN
cana-2947	242	27	.	.	PUNCT
cana-2947	243	1	additionally	additionally	ADV
cana-2947	243	2	,	,	PUNCT
cana-2947	243	3	user	user	NOUN
cana-2947	243	4	feedback	feedback	NOUN
cana-2947	243	5	emphasized	emphasize	VERB
cana-2947	243	6	the	the	DET
cana-2947	243	7	system	system	NOUN
cana-2947	243	8	's	's	PART
cana-2947	243	9	ease	ease	NOUN
cana-2947	243	10	of	of	ADP
cana-2947	243	11	use	use	NOUN
cana-2947	243	12	and	and	CCONJ
cana-2947	243	13	reliability	reliability	NOUN
cana-2947	243	14	,	,	PUNCT
cana-2947	243	15	further	far	ADV
cana-2947	243	16	supporting	support	VERB
cana-2947	243	17	its	its	PRON
cana-2947	243	18	feasibility	feasibility	NOUN
cana-2947	243	19	for	for	ADP
cana-2947	243	20	real	real	ADJ
cana-2947	243	21	-	-	PUNCT
cana-2947	243	22	world	world	NOUN
cana-2947	243	23	applications	application	NOUN
cana-2947	243	24	.	.	PUNCT
cana-2947	244	1	key	key	ADJ
cana-2947	244	2	challenges	challenge	NOUN
cana-2947	244	3	such	such	ADJ
cana-2947	244	4	as	as	ADP
cana-2947	244	5	data	datum	NOUN
cana-2947	244	6	security	security	NOUN
cana-2947	244	7	,	,	PUNCT
cana-2947	244	8	interoperability	interoperability	NOUN
cana-2947	244	9	,	,	PUNCT
cana-2947	244	10	and	and	CCONJ
cana-2947	244	11	energy	energy	NOUN
cana-2947	244	12	efficiency	efficiency	NOUN
cana-2947	244	13	were	be	AUX
cana-2947	244	14	systematically	systematically	ADV
cana-2947	244	15	addressed	address	VERB
cana-2947	244	16	through	through	ADP
cana-2947	244	17	robust	robust	ADJ
cana-2947	244	18	encryption	encryption	NOUN
cana-2947	244	19	protocols	protocol	NOUN
cana-2947	244	20	,	,	PUNCT
cana-2947	244	21	standardized	standardized	ADJ
cana-2947	244	22	communication	communication	NOUN
cana-2947	244	23	frameworks	framework	NOUN
cana-2947	244	24	,	,	PUNCT
cana-2947	244	25	and	and	CCONJ
cana-2947	244	26	optimized	optimize	VERB
cana-2947	244	27	hardware	hardware	NOUN
cana-2947	244	28	configurations	configuration	NOUN
cana-2947	244	29	.	.	PUNCT
cana-2947	245	1	scalability	scalability	NOUN
cana-2947	245	2	testing	testing	NOUN
cana-2947	245	3	confirmed	confirm	VERB
cana-2947	245	4	the	the	DET
cana-2947	245	5	framework	framework	NOUN
cana-2947	245	6	's	's	PART
cana-2947	245	7	potential	potential	NOUN
cana-2947	245	8	for	for	ADP
cana-2947	245	9	largescale	largescale	ADJ
cana-2947	245	10	deployment	deployment	NOUN
cana-2947	245	11	,	,	PUNCT
cana-2947	245	12	indicating	indicate	VERB
cana-2947	245	13	its	its	PRON
cana-2947	245	14	applicability	applicability	NOUN
cana-2947	245	15	to	to	PART
cana-2947	245	16	diverse	diverse	VERB
cana-2947	245	17	healthcare	healthcare	NOUN
cana-2947	245	18	scenarios	scenario	NOUN
cana-2947	245	19	.	.	PUNCT
cana-2947	246	1	communications	communication	NOUN
cana-2947	246	2	on	on	ADP
cana-2947	246	3	applied	apply	VERB
cana-2947	246	4	nonlinear	nonlinear	ADJ
cana-2947	246	5	analysis	analysis	NOUN
cana-2947	246	6	issn	issn	NOUN
cana-2947	246	7	:	:	PUNCT
cana-2947	246	8	1074	1074	NUM
cana-2947	246	9	-	-	PUNCT
cana-2947	246	10	133x	133x	NUM
cana-2947	246	11	vol	vol	NOUN
cana-2947	246	12	32	32	NUM
cana-2947	246	13	no	no	NOUN
cana-2947	246	14	.	.	PUNCT
cana-2947	247	1	5s	5s	NUM
cana-2947	247	2	(	(	PUNCT
cana-2947	247	3	2025	2025	NUM
cana-2947	247	4	)	)	PUNCT
cana-2947	247	5	68	68	NUM
cana-2947	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2947	247	7	in	in	ADP
cana-2947	247	8	conclusion	conclusion	NOUN
cana-2947	247	9	,	,	PUNCT
cana-2947	247	10	the	the	DET
cana-2947	247	11	proposed	propose	VERB
cana-2947	247	12	system	system	NOUN
cana-2947	247	13	represents	represent	VERB
cana-2947	247	14	a	a	DET
cana-2947	247	15	significant	significant	ADJ
cana-2947	247	16	advancement	advancement	NOUN
cana-2947	247	17	in	in	ADP
cana-2947	247	18	liver	liver	NOUN
cana-2947	247	19	disease	disease	NOUN
cana-2947	247	20	diagnostics	diagnostic	NOUN
cana-2947	247	21	,	,	PUNCT
cana-2947	247	22	bridging	bridge	VERB
cana-2947	247	23	critical	critical	ADJ
cana-2947	247	24	gaps	gap	NOUN
cana-2947	247	25	in	in	ADP
cana-2947	247	26	traditional	traditional	ADJ
cana-2947	247	27	methods	method	NOUN
cana-2947	247	28	by	by	ADP
cana-2947	247	29	harnessing	harness	VERB
cana-2947	247	30	the	the	DET
cana-2947	247	31	power	power	NOUN
cana-2947	247	32	of	of	ADP
cana-2947	247	33	iot	iot	NOUN
cana-2947	247	34	,	,	PUNCT
cana-2947	247	35	cloud	cloud	NOUN
cana-2947	247	36	computing	computing	NOUN
cana-2947	247	37	,	,	PUNCT
cana-2947	247	38	and	and	CCONJ
cana-2947	247	39	machine	machine	NOUN
cana-2947	247	40	learning	learning	NOUN
cana-2947	247	41	.	.	PUNCT
cana-2947	248	1	it	it	PRON
cana-2947	248	2	paves	pave	VERB
cana-2947	248	3	the	the	DET
cana-2947	248	4	way	way	NOUN
cana-2947	248	5	for	for	ADP
cana-2947	248	6	cost	cost	NOUN
cana-2947	248	7	-	-	PUNCT
cana-2947	248	8	effective	effective	ADJ
cana-2947	248	9	,	,	PUNCT
cana-2947	248	10	proactive	proactive	ADJ
cana-2947	248	11	healthcare	healthcare	PROPN
cana-2947	248	12	solutions	solution	NOUN
cana-2947	248	13	,	,	PUNCT
cana-2947	248	14	particularly	particularly	ADV
cana-2947	248	15	in	in	ADP
cana-2947	248	16	remote	remote	ADJ
cana-2947	248	17	and	and	CCONJ
cana-2947	248	18	underserved	underserved	ADJ
cana-2947	248	19	areas	area	NOUN
cana-2947	248	20	.	.	PUNCT
cana-2947	249	1	future	future	ADJ
cana-2947	249	2	work	work	NOUN
cana-2947	249	3	will	will	AUX
cana-2947	249	4	explore	explore	VERB
cana-2947	249	5	further	further	ADJ
cana-2947	249	6	enhancements	enhancement	NOUN
cana-2947	249	7	in	in	ADP
cana-2947	249	8	algorithmic	algorithmic	ADJ
cana-2947	249	9	efficiency	efficiency	NOUN
cana-2947	249	10	,	,	PUNCT
cana-2947	249	11	broader	broad	ADJ
cana-2947	249	12	clinical	clinical	ADJ
cana-2947	249	13	validations	validation	NOUN
cana-2947	249	14	,	,	PUNCT
cana-2947	249	15	and	and	CCONJ
cana-2947	249	16	integration	integration	NOUN
cana-2947	249	17	with	with	ADP
cana-2947	249	18	additional	additional	ADJ
cana-2947	249	19	healthcare	healthcare	NOUN
cana-2947	249	20	systems	system	NOUN
cana-2947	249	21	for	for	ADP
cana-2947	249	22	comprehensive	comprehensive	ADJ
cana-2947	249	23	patient	patient	NOUN
cana-2947	249	24	care	care	NOUN
cana-2947	249	25	.	.	PUNCT
cana-2947	250	1	references	reference	NOUN
cana-2947	250	2	:	:	PUNCT
cana-2947	251	1	[	[	X
cana-2947	251	2	1	1	NUM
cana-2947	251	3	]	]	X
cana-2947	251	4	mallareddy	mallareddy	PROPN
cana-2947	251	5	,	,	PUNCT
cana-2947	251	6	a.	a.	NOUN
cana-2947	251	7	,	,	PUNCT
cana-2947	251	8	sridevi	sridevi	NOUN
cana-2947	251	9	,	,	PUNCT
cana-2947	251	10	r.	r.	PROPN
cana-2947	251	11	,	,	PUNCT
cana-2947	251	12	&	&	CCONJ
cana-2947	251	13	prasad	prasad	PROPN
cana-2947	251	14	,	,	PUNCT
cana-2947	251	15	c.	c.	PROPN
cana-2947	251	16	g.	g.	PROPN
cana-2947	251	17	v.	v.	PROPN
cana-2947	251	18	n.	n.	PROPN
cana-2947	251	19	(	(	PUNCT
cana-2947	251	20	2019	2019	NUM
cana-2947	251	21	)	)	PUNCT
cana-2947	251	22	.	.	PUNCT
cana-2947	252	1	enhanced	enhance	VERB
cana-2947	252	2	p	p	NOUN
cana-2947	252	3	-	-	PUNCT
cana-2947	252	4	gene	gene	NOUN
cana-2947	252	5	based	base	VERB
cana-2947	252	6	data	datum	NOUN
cana-2947	252	7	hiding	hide	VERB
cana-2947	252	8	for	for	ADP
cana-2947	252	9	data	datum	NOUN
cana-2947	252	10	security	security	NOUN
cana-2947	252	11	in	in	ADP
cana-2947	252	12	cloud	cloud	NOUN
cana-2947	252	13	.	.	PUNCT
cana-2947	253	1	international	international	ADJ
cana-2947	253	2	journal	journal	NOUN
cana-2947	253	3	of	of	ADP
cana-2947	253	4	recent	recent	ADJ
cana-2947	253	5	technology	technology	NOUN
cana-2947	253	6	and	and	CCONJ
cana-2947	253	7	engineering	engineering	NOUN
cana-2947	253	8	,	,	PUNCT
cana-2947	253	9	8(1	8(1	NOUN
cana-2947	253	10	)	)	PUNCT
cana-2947	253	11	,	,	PUNCT
cana-2947	253	12	2086	2086	NUM
cana-2947	253	13	-	-	SYM
cana-2947	253	14	2093	2093	NUM
cana-2947	253	15	.	.	PUNCT
cana-2947	254	1	[	[	X
cana-2947	254	2	2	2	NUM
cana-2947	254	3	]	]	X
cana-2947	254	4	prasad	prasad	PROPN
cana-2947	254	5	,	,	PUNCT
cana-2947	254	6	c.	c.	PROPN
cana-2947	254	7	g.	g.	PROPN
cana-2947	254	8	v.	v.	PROPN
cana-2947	254	9	n.	n.	PROPN
cana-2947	254	10	,	,	PUNCT
cana-2947	254	11	mallareddy	mallareddy	PROPN
cana-2947	254	12	,	,	PUNCT
cana-2947	254	13	a.	a.	NOUN
cana-2947	254	14	,	,	PUNCT
cana-2947	254	15	pounambal	pounambal	ADJ
cana-2947	254	16	,	,	PUNCT
cana-2947	254	17	m.	m.	NOUN
cana-2947	254	18	,	,	PUNCT
cana-2947	254	19	&	&	CCONJ
cana-2947	254	20	velayutham	velayutham	PROPN
cana-2947	254	21	,	,	PUNCT
cana-2947	254	22	v.	v.	PROPN
cana-2947	254	23	(	(	PUNCT
cana-2947	254	24	2022	2022	NUM
cana-2947	254	25	)	)	PUNCT
cana-2947	254	26	.	.	PUNCT
cana-2947	255	1	edge	edge	NOUN
cana-2947	255	2	computing	computing	NOUN
cana-2947	255	3	and	and	CCONJ
cana-2947	255	4	blockchain	blockchain	PROPN
cana-2947	255	5	in	in	ADP
cana-2947	255	6	smart	smart	ADJ
cana-2947	255	7	agriculture	agriculture	NOUN
cana-2947	255	8	systems	system	NOUN
cana-2947	255	9	.	.	PUNCT
cana-2947	256	1	international	international	ADJ
cana-2947	256	2	journal	journal	PROPN
cana-2947	256	3	on	on	ADP
cana-2947	256	4	recent	recent	ADJ
cana-2947	256	5	and	and	CCONJ
cana-2947	256	6	innovation	innovation	NOUN
cana-2947	256	7	trends	trend	NOUN
cana-2947	256	8	in	in	ADP
cana-2947	256	9	computing	computing	NOUN
cana-2947	256	10	and	and	CCONJ
cana-2947	256	11	communication	communication	NOUN
cana-2947	256	12	,	,	PUNCT
cana-2947	256	13	10(1	10(1	NUM
cana-2947	256	14	)	)	PUNCT
cana-2947	256	15	,	,	PUNCT
cana-2947	256	16	265	265	NUM
cana-2947	256	17	-	-	SYM
cana-2947	256	18	274	274	NUM
cana-2947	256	19	.	.	PUNCT
cana-2947	257	1	[	[	X
cana-2947	257	2	3	3	NUM
cana-2947	257	3	]	]	X
cana-2947	257	4	sandeep	sandeep	PROPN
cana-2947	257	5	,	,	PUNCT
cana-2947	257	6	d.	d.	PROPN
cana-2947	257	7	,	,	PUNCT
cana-2947	257	8	mohan	mohan	PROPN
cana-2947	257	9	,	,	PUNCT
cana-2947	257	10	c.	c.	PROPN
cana-2947	257	11	r.	r.	PROPN
cana-2947	257	12	,	,	PUNCT
cana-2947	257	13	kumar	kumar	PROPN
cana-2947	257	14	,	,	PUNCT
cana-2947	257	15	b.	b.	PROPN
cana-2947	257	16	h.	h.	PROPN
cana-2947	257	17	,	,	PUNCT
cana-2947	257	18	pecho	pecho	PROPN
cana-2947	257	19	,	,	PUNCT
cana-2947	257	20	r.	r.	PROPN
cana-2947	257	21	d.	d.	PROPN
cana-2947	257	22	c.	c.	PROPN
cana-2947	257	23	,	,	PUNCT
cana-2947	257	24	&	&	CCONJ
cana-2947	257	25	pasha	pasha	PROPN
cana-2947	257	26	,	,	PUNCT
cana-2947	257	27	m.	m.	NOUN
cana-2947	257	28	j.	j.	PROPN
cana-2947	257	29	(	(	PUNCT
cana-2947	257	30	2023	2023	NUM
cana-2947	257	31	)	)	PUNCT
cana-2947	257	32	.	.	PUNCT
cana-2947	258	1	an	an	DET
cana-2947	258	2	approach	approach	NOUN
cana-2947	258	3	for	for	ADP
cana-2947	258	4	coordinating	coordinate	VERB
cana-2947	258	5	lane	lane	NOUN
cana-2947	258	6	changes	change	NOUN
cana-2947	258	7	between	between	ADP
cana-2947	258	8	autonomous	autonomous	ADJ
cana-2947	258	9	vehicles	vehicle	NOUN
cana-2947	258	10	in	in	ADP
cana-2947	258	11	congested	congested	ADJ
cana-2947	258	12	areas	area	NOUN
cana-2947	258	13	.	.	PUNCT
cana-2947	259	1	international	international	ADJ
cana-2947	259	2	journal	journal	NOUN
cana-2947	259	3	of	of	ADP
cana-2947	259	4	intelligent	intelligent	ADJ
cana-2947	259	5	systems	system	NOUN
cana-2947	259	6	and	and	CCONJ
cana-2947	259	7	applications	application	NOUN
cana-2947	259	8	in	in	ADP
cana-2947	259	9	engineering	engineering	NOUN
cana-2947	259	10	,	,	PUNCT
cana-2947	259	11	11(6s	11(6s	NUM
cana-2947	259	12	)	)	PUNCT
cana-2947	259	13	,	,	PUNCT
cana-2947	259	14	403	403	NUM
cana-2947	259	15	-	-	SYM
cana-2947	259	16	416	416	NUM
cana-2947	259	17	.	.	PUNCT
cana-2947	260	1	[	[	X
cana-2947	260	2	4	4	NUM
cana-2947	260	3	]	]	X
cana-2947	260	4	ram	ram	PROPN
cana-2947	260	5	mohan	mohan	PROPN
cana-2947	260	6	,	,	PUNCT
cana-2947	260	7	c.	c.	PROPN
cana-2947	260	8	,	,	PUNCT
cana-2947	260	9	&	&	CCONJ
cana-2947	260	10	ananthula	ananthula	PROPN
cana-2947	260	11	,	,	PUNCT
cana-2947	260	12	v.	v.	PROPN
cana-2947	260	13	r.	r.	PROPN
cana-2947	260	14	(	(	PUNCT
cana-2947	260	15	2019	2019	NUM
cana-2947	260	16	)	)	PUNCT
cana-2947	260	17	.	.	PUNCT
cana-2947	261	1	reputation	reputation	NOUN
cana-2947	261	2	-	-	PUNCT
cana-2947	261	3	based	base	VERB
cana-2947	261	4	secure	secure	ADJ
cana-2947	261	5	routing	routing	NOUN
cana-2947	261	6	protocol	protocol	NOUN
cana-2947	261	7	in	in	ADP
cana-2947	261	8	mobile	mobile	ADJ
cana-2947	261	9	ad	ad	NOUN
cana-2947	261	10	-	-	PUNCT
cana-2947	261	11	hoc	hoc	X
cana-2947	261	12	network	network	NOUN
cana-2947	261	13	using	use	VERB
cana-2947	261	14	jaya	jaya	PROPN
cana-2947	261	15	cuckoo	cuckoo	NOUN
cana-2947	261	16	optimization	optimization	NOUN
cana-2947	261	17	.	.	PUNCT
cana-2947	262	1	international	international	ADJ
cana-2947	262	2	journal	journal	NOUN
cana-2947	262	3	of	of	ADP
cana-2947	262	4	modeling	modeling	NOUN
cana-2947	262	5	,	,	PUNCT
cana-2947	262	6	simulation	simulation	NOUN
cana-2947	262	7	,	,	PUNCT
cana-2947	262	8	and	and	CCONJ
cana-2947	262	9	scientific	scientific	ADJ
cana-2947	262	10	computing	computing	NOUN
cana-2947	262	11	,	,	PUNCT
cana-2947	262	12	10(03	10(03	PROPN
cana-2947	262	13	)	)	PUNCT
cana-2947	262	14	,	,	PUNCT
cana-2947	262	15	1950014	1950014	NUM
cana-2947	262	16	.	.	PUNCT
cana-2947	263	1	[	[	X
cana-2947	263	2	5	5	NUM
cana-2947	263	3	]	]	X
cana-2947	263	4	rambabu	rambabu	NOUN
cana-2947	263	5	,	,	PUNCT
cana-2947	263	6	b.	b.	PROPN
cana-2947	263	7	,	,	PUNCT
cana-2947	263	8	reddy	reddy	PROPN
cana-2947	263	9	,	,	PUNCT
cana-2947	263	10	a.	a.	PROPN
cana-2947	263	11	v.	v.	PROPN
cana-2947	263	12	,	,	PUNCT
cana-2947	263	13	&	&	CCONJ
cana-2947	263	14	janakiraman	janakiraman	PROPN
cana-2947	263	15	,	,	PUNCT
cana-2947	263	16	s.	s.	PROPN
cana-2947	263	17	(	(	PUNCT
cana-2947	263	18	2019	2019	NUM
cana-2947	263	19	)	)	PUNCT
cana-2947	263	20	.	.	PUNCT
cana-2947	264	1	a	a	DET
cana-2947	264	2	hybrid	hybrid	ADJ
cana-2947	264	3	artificial	artificial	ADJ
cana-2947	264	4	bee	bee	NOUN
cana-2947	264	5	colony	colony	NOUN
cana-2947	264	6	and	and	CCONJ
cana-2947	264	7	bacterial	bacterial	ADJ
cana-2947	264	8	foraging	forage	VERB
cana-2947	264	9	algorithm	algorithm	NOUN
cana-2947	264	10	for	for	ADP
cana-2947	264	11	optimized	optimize	VERB
cana-2947	264	12	clustering	clustering	NOUN
cana-2947	264	13	in	in	ADP
cana-2947	264	14	wireless	wireless	ADJ
cana-2947	264	15	sensor	sensor	NOUN
cana-2947	264	16	network	network	NOUN
cana-2947	264	17	.	.	PUNCT
cana-2947	265	1	int	int	NOUN
cana-2947	265	2	.	.	PUNCT
cana-2947	266	1	j.	j.	PROPN
cana-2947	266	2	innov	innov	PROPN
cana-2947	266	3	.	.	PUNCT
cana-2947	267	1	technol	technol	PROPN
cana-2947	267	2	.	.	PUNCT
cana-2947	267	3	explor	explor	PROPN
cana-2947	267	4	.	.	PUNCT
cana-2947	268	1	eng	eng	PROPN
cana-2947	268	2	,	,	PUNCT
cana-2947	268	3	8	8	NUM
cana-2947	268	4	,	,	PUNCT
cana-2947	268	5	2186	2186	NUM
cana-2947	268	6	-	-	SYM
cana-2947	268	7	2190	2190	NUM
cana-2947	268	8	.	.	PUNCT
cana-2947	269	1	[	[	X
cana-2947	269	2	6	6	NUM
cana-2947	269	3	]	]	X
cana-2947	269	4	nimmala	nimmala	PROPN
cana-2947	269	5	,	,	PUNCT
cana-2947	269	6	s.	s.	PROPN
cana-2947	269	7	,	,	PUNCT
cana-2947	269	8	ramchander	ramchander	NOUN
cana-2947	269	9	,	,	PUNCT
cana-2947	269	10	m.	m.	NOUN
cana-2947	269	11	,	,	PUNCT
cana-2947	269	12	mahendar	mahendar	NOUN
cana-2947	269	13	,	,	PUNCT
cana-2947	269	14	m.	m.	NOUN
cana-2947	269	15	,	,	PUNCT
cana-2947	269	16	manasa	manasa	PROPN
cana-2947	269	17	,	,	PUNCT
cana-2947	269	18	p.	p.	PROPN
cana-2947	269	19	,	,	PUNCT
cana-2947	269	20	kiran	kiran	PROPN
cana-2947	269	21	,	,	PUNCT
cana-2947	269	22	m.	m.	NOUN
cana-2947	269	23	a.	a.	PROPN
cana-2947	269	24	,	,	PUNCT
cana-2947	269	25	&	&	CCONJ
cana-2947	269	26	rambabu	rambabu	PROPN
cana-2947	269	27	,	,	PUNCT
cana-2947	269	28	b.	b.	PROPN
cana-2947	269	29	(	(	PUNCT
cana-2947	269	30	2024	2024	NUM
cana-2947	269	31	,	,	PUNCT
cana-2947	269	32	may	may	PROPN
cana-2947	269	33	)	)	PUNCT
cana-2947	269	34	.	.	PUNCT
cana-2947	270	1	a	a	DET
cana-2947	270	2	recent	recent	ADJ
cana-2947	270	3	survey	survey	NOUN
cana-2947	270	4	on	on	ADP
cana-2947	270	5	ai	ai	INTJ
cana-2947	270	6	enabled	enable	VERB
cana-2947	270	7	practices	practice	NOUN
cana-2947	270	8	for	for	ADP
cana-2947	270	9	smart	smart	ADJ
cana-2947	270	10	agriculture	agriculture	NOUN
cana-2947	270	11	.	.	PUNCT
cana-2947	271	1	in	in	ADP
cana-2947	271	2	2024	2024	NUM
cana-2947	271	3	international	international	ADJ
cana-2947	271	4	conference	conference	NOUN
cana-2947	271	5	on	on	ADP
cana-2947	271	6	intelligent	intelligent	ADJ
cana-2947	271	7	systems	system	NOUN
cana-2947	271	8	for	for	ADP
cana-2947	271	9	cybersecurity	cybersecurity	NOUN
cana-2947	271	10	(	(	PUNCT
cana-2947	271	11	iscs	isc	NOUN
cana-2947	271	12	)	)	PUNCT
cana-2947	271	13	(	(	PUNCT
cana-2947	271	14	pp	pp	X
cana-2947	271	15	.	.	PUNCT
cana-2947	272	1	1	1	NUM
cana-2947	272	2	-	-	SYM
cana-2947	272	3	5	5	NUM
cana-2947	272	4	)	)	PUNCT
cana-2947	272	5	.	.	PUNCT
cana-2947	273	1	ieee	ieee	NOUN
cana-2947	273	2	.	.	PUNCT
cana-2947	274	1	[	[	X
cana-2947	274	2	7	7	NUM
cana-2947	274	3	]	]	X
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cana-2947	274	5	,	,	PUNCT
cana-2947	274	6	a.	a.	NOUN
cana-2947	274	7	,	,	PUNCT
cana-2947	274	8	jaiganesh	jaiganesh	NOUN
cana-2947	274	9	,	,	PUNCT
cana-2947	274	10	m.	m.	NOUN
cana-2947	274	11	,	,	PUNCT
cana-2947	274	12	mary	mary	PROPN
cana-2947	274	13	,	,	PUNCT
cana-2947	274	14	s.	s.	PROPN
cana-2947	274	15	n.	n.	PROPN
cana-2947	274	16	,	,	PUNCT
cana-2947	274	17	manikandan	manikandan	PROPN
cana-2947	274	18	,	,	PUNCT
cana-2947	274	19	k.	k.	PROPN
cana-2947	274	20	,	,	PUNCT
cana-2947	274	21	gohatre	gohatre	NOUN
cana-2947	274	22	,	,	PUNCT
cana-2947	274	23	u.	u.	PROPN
cana-2947	274	24	b.	b.	PROPN
cana-2947	274	25	,	,	PUNCT
cana-2947	274	26	&	&	CCONJ
cana-2947	274	27	dhanraj	dhanraj	ADJ
cana-2947	274	28	,	,	PUNCT
cana-2947	274	29	j.	j.	PROPN
cana-2947	274	30	a.	a.	PROPN
cana-2947	274	31	(	(	PUNCT
cana-2947	274	32	2024	2024	NUM
cana-2947	274	33	)	)	PUNCT
cana-2947	274	34	.	.	PUNCT
cana-2947	275	1	the	the	DET
cana-2947	275	2	potential	potential	NOUN
cana-2947	275	3	of	of	ADP
cana-2947	275	4	cloud	cloud	NOUN
cana-2947	275	5	computing	computing	NOUN
cana-2947	275	6	in	in	ADP
cana-2947	275	7	medical	medical	ADJ
cana-2947	275	8	big	big	ADJ
cana-2947	275	9	data	datum	NOUN
cana-2947	275	10	processing	processing	NOUN
cana-2947	275	11	systems	system	NOUN
cana-2947	275	12	.	.	PUNCT
cana-2947	276	1	human	human	ADJ
cana-2947	276	2	cancer	cancer	NOUN
cana-2947	276	3	diagnosis	diagnosis	NOUN
cana-2947	276	4	and	and	CCONJ
cana-2947	276	5	detection	detection	NOUN
cana-2947	276	6	using	use	VERB
cana-2947	276	7	exascale	exascale	NOUN
cana-2947	276	8	computing	computing	NOUN
cana-2947	276	9	,	,	PUNCT
cana-2947	276	10	199	199	NUM
cana-2947	276	11	-	-	SYM
cana-2947	276	12	214	214	NUM
cana-2947	276	13	.	.	PUNCT
cana-2947	277	1	[	[	X
cana-2947	277	2	8	8	X
cana-2947	277	3	]	]	X
cana-2947	277	4	vinod	vinod	PROPN
cana-2947	277	5	kumar	kumar	PROPN
cana-2947	277	6	reddy	reddy	PROPN
cana-2947	277	7	,	,	PUNCT
cana-2947	277	8	k.	k.	PROPN
cana-2947	277	9	,	,	PUNCT
cana-2947	277	10	bande	bande	PROPN
cana-2947	277	11	,	,	PUNCT
cana-2947	277	12	vasavi	vasavi	NOUN
cana-2947	277	13	.	.	PROPN
cana-2947	277	14	,	,	PUNCT
cana-2947	277	15	jacob	jacob	PROPN
cana-2947	277	16	,	,	PUNCT
cana-2947	277	17	novy	novy	PROPN
cana-2947	277	18	.	.	PUNCT
cana-2947	277	19	,	,	PUNCT
cana-2947	277	20	mallareddy	mallareddy	PROPN
cana-2947	277	21	,	,	PUNCT
cana-2947	277	22	a.	a.	NOUN
cana-2947	277	23	,	,	PUNCT
cana-2947	277	24	khaja	khaja	PROPN
cana-2947	277	25	shareef	shareef	PROPN
cana-2947	277	26	,	,	PUNCT
cana-2947	277	27	sk	sk	INTJ
cana-2947	277	28	,	,	PUNCT
cana-2947	277	29	vikruthi	vikruthi	PROPN
cana-2947	277	30	,	,	PUNCT
cana-2947	277	31	sriharsha(2024	sriharsha(2024	PROPN
cana-2947	277	32	)	)	PUNCT
cana-2947	277	33	.	.	PUNCT
cana-2947	278	1	adaptive	adaptive	PROPN
cana-2947	278	2	fog	fog	PROPN
cana-2947	278	3	computing	compute	VERB
cana-2947	278	4	framework	framework	NOUN
cana-2947	278	5	(	(	PUNCT
cana-2947	278	6	afcf	afcf	ADJ
cana-2947	278	7	):	):	PUNCT
cana-2947	278	8	bridging	bridge	VERB
cana-2947	278	9	iot	iot	PROPN
cana-2947	278	10	and	and	CCONJ
cana-2947	278	11	blockchain	blockchain	PROPN
cana-2947	278	12	for	for	ADP
cana-2947	278	13	enhanced	enhanced	ADJ
cana-2947	278	14	data	datum	NOUN
cana-2947	278	15	processing	processing	NOUN
cana-2947	278	16	and	and	CCONJ
cana-2947	278	17	security	security	NOUN
cana-2947	278	18	,	,	PUNCT
cana-2947	278	19	ssrg	ssrg	PROPN
cana-2947	278	20	international	international	PROPN
cana-2947	278	21	journal	journal	PROPN
cana-2947	278	22	of	of	ADP
cana-2947	278	23	electronics	electronic	NOUN
cana-2947	278	24	and	and	CCONJ
cana-2947	278	25	communication	communication	NOUN
cana-2947	278	26	engineering	engineering	NOUN
cana-2947	278	27	,	,	PUNCT
cana-2947	278	28	11(3),160	11(3),160	NUM
cana-2947	278	29	-	-	SYM
cana-2947	278	30	175	175	NUM
cana-2947	278	31	.	.	PUNCT
cana-2947	279	1	[	[	X
cana-2947	279	2	9	9	NUM
cana-2947	279	3	]	]	SYM
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cana-2947	279	5	,	,	PUNCT
cana-2947	279	6	s.	s.	PROPN
cana-2947	279	7	,	,	PUNCT
cana-2947	279	8	&	&	CCONJ
cana-2947	279	9	rambabu	rambabu	PROPN
cana-2947	279	10	,	,	PUNCT
cana-2947	279	11	b.	b.	PROPN
cana-2947	279	12	(	(	PUNCT
cana-2947	279	13	2022	2022	NUM
cana-2947	279	14	,	,	PUNCT
cana-2947	279	15	january	january	PROPN
cana-2947	279	16	)	)	PUNCT
cana-2947	279	17	.	.	PUNCT
cana-2947	280	1	improved	improve	VERB
cana-2947	280	2	symbiosis	symbiosis	NOUN
cana-2947	280	3	organism	organism	NOUN
cana-2947	280	4	search	search	NOUN
cana-2947	280	5	algorithm	algorithm	NOUN
cana-2947	280	6	-	-	PUNCT
cana-2947	280	7	based	base	VERB
cana-2947	280	8	clustering	clustering	ADJ
cana-2947	280	9	scheme	scheme	NOUN
cana-2947	280	10	for	for	ADP
cana-2947	280	11	enhancing	enhance	VERB
cana-2947	280	12	longevity	longevity	NOUN
cana-2947	280	13	in	in	ADP
cana-2947	280	14	wireless	wireless	ADJ
cana-2947	280	15	sensor	sensor	NOUN
cana-2947	280	16	networks	network	NOUN
cana-2947	280	17	(	(	PUNCT
cana-2947	280	18	wsns	wsns	NOUN
cana-2947	280	19	)	)	PUNCT
cana-2947	280	20	.	.	PUNCT
cana-2947	281	1	in	in	ADP
cana-2947	281	2	proceedings	proceeding	NOUN
cana-2947	281	3	of	of	ADP
cana-2947	281	4	international	international	ADJ
cana-2947	281	5	conference	conference	NOUN
cana-2947	281	6	on	on	ADP
cana-2947	281	7	recent	recent	ADJ
cana-2947	281	8	trends	trend	NOUN
cana-2947	281	9	in	in	ADP
cana-2947	281	10	computing	computing	NOUN
cana-2947	281	11	:	:	PUNCT
cana-2947	281	12	icrtc	icrtc	ADJ
cana-2947	281	13	2021	2021	NUM
cana-2947	281	14	(	(	PUNCT
cana-2947	281	15	pp	pp	ADJ
cana-2947	281	16	.	.	PUNCT
cana-2947	281	17	799	799	NUM
cana-2947	281	18	-	-	SYM
cana-2947	281	19	808	808	NUM
cana-2947	281	20	)	)	PUNCT
cana-2947	281	21	.	.	PUNCT
cana-2947	282	1	singapore	singapore	PROPN
cana-2947	282	2	:	:	PUNCT
cana-2947	282	3	springer	springer	NOUN
cana-2947	282	4	nature	nature	PROPN
cana-2947	282	5	singapore	singapore	PROPN
cana-2947	282	6	.	.	PUNCT
cana-2947	283	1	[	[	X
cana-2947	283	2	10	10	NUM
cana-2947	283	3	]	]	X
cana-2947	283	4	bandi	bandi	PROPN
cana-2947	283	5	,	,	PUNCT
cana-2947	283	6	r.	r.	PROPN
cana-2947	283	7	,	,	PUNCT
cana-2947	283	8	ananthula	ananthula	NOUN
cana-2947	283	9	,	,	PUNCT
cana-2947	283	10	v.	v.	PROPN
cana-2947	283	11	r.	r.	PROPN
cana-2947	283	12	,	,	PUNCT
cana-2947	283	13	&	&	CCONJ
cana-2947	283	14	janakiraman	janakiraman	PROPN
cana-2947	283	15	,	,	PUNCT
cana-2947	283	16	s.	s.	PROPN
cana-2947	283	17	(	(	PUNCT
cana-2947	283	18	2021	2021	NUM
cana-2947	283	19	)	)	PUNCT
cana-2947	283	20	.	.	PUNCT
cana-2947	284	1	self	self	NOUN
cana-2947	284	2	adapting	adapt	VERB
cana-2947	284	3	differential	differential	ADJ
cana-2947	284	4	search	search	NOUN
cana-2947	284	5	strategies	strategy	NOUN
cana-2947	284	6	improved	improve	VERB
cana-2947	284	7	artificial	artificial	ADJ
cana-2947	284	8	bee	bee	NOUN
cana-2947	284	9	colony	colony	NOUN
cana-2947	284	10	algorithm	algorithm	NOUN
cana-2947	284	11	-	-	PUNCT
cana-2947	284	12	based	base	VERB
cana-2947	284	13	cluster	cluster	NOUN
cana-2947	284	14	head	head	NOUN
cana-2947	284	15	selection	selection	NOUN
cana-2947	284	16	scheme	scheme	NOUN
cana-2947	284	17	for	for	ADP
cana-2947	284	18	wsns	wsns	NOUN
cana-2947	284	19	.	.	PUNCT
cana-2947	285	1	wireless	wireless	ADJ
cana-2947	285	2	personal	personal	ADJ
cana-2947	285	3	communications	communication	NOUN
cana-2947	285	4	,	,	PUNCT
cana-2947	285	5	121(3	121(3	NUM
cana-2947	285	6	)	)	PUNCT
cana-2947	285	7	,	,	PUNCT
cana-2947	285	8	2251	2251	NUM
cana-2947	285	9	-	-	SYM
cana-2947	285	10	2272	2272	NUM
cana-2947	285	11	.	.	PUNCT
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cana-2947	286	2	11	11	NUM
cana-2947	286	3	]	]	SYM
cana-2947	286	4	chintalapalli	chintalapalli	PROPN
cana-2947	286	5	,	,	PUNCT
cana-2947	286	6	r.	r.	PROPN
cana-2947	286	7	m.	m.	PROPN
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cana-2947	286	9	&	&	CCONJ
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cana-2947	286	11	,	,	PUNCT
cana-2947	286	12	v.	v.	PROPN
cana-2947	286	13	r.	r.	PROPN
cana-2947	286	14	(	(	PUNCT
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cana-2947	286	16	)	)	PUNCT
cana-2947	286	17	.	.	PUNCT
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cana-2947	287	2	:	:	PUNCT
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cana-2947	287	4	optimisation	optimisation	NOUN
cana-2947	287	5	model	model	NOUN
cana-2947	287	6	for	for	ADP
cana-2947	287	7	secure	secure	ADJ
cana-2947	287	8	routing	routing	NOUN
cana-2947	287	9	in	in	ADP
cana-2947	287	10	mobile	mobile	ADJ
cana-2947	287	11	ad‐hoc	ad‐hoc	NOUN
cana-2947	287	12	network	network	NOUN
cana-2947	287	13	.	.	PUNCT
cana-2947	288	1	iet	iet	PROPN
cana-2947	288	2	communications	communication	NOUN
cana-2947	288	3	,	,	PUNCT
cana-2947	288	4	12(12	12(12	NUM
cana-2947	288	5	)	)	PUNCT
cana-2947	288	6	,	,	PUNCT
cana-2947	288	7	1406	1406	NUM
cana-2947	288	8	-	-	SYM
cana-2947	288	9	1415	1415	NUM
cana-2947	288	10	.	.	PUNCT
cana-2947	289	1	[	[	X
cana-2947	289	2	12	12	NUM
cana-2947	289	3	]	]	X
cana-2947	289	4	rammohan	rammohan	PROPN
cana-2947	289	5	,	,	PUNCT
cana-2947	289	6	c.	c.	NOUN
cana-2947	289	7	,	,	PUNCT
cana-2947	289	8	laxmikanth	laxmikanth	ADJ
cana-2947	289	9	,	,	PUNCT
cana-2947	289	10	p.	p.	NOUN
cana-2947	289	11	,	,	PUNCT
cana-2947	289	12	srikar	srikar	PROPN
cana-2947	289	13	,	,	PUNCT
cana-2947	289	14	d.	d.	PROPN
cana-2947	289	15	,	,	PUNCT
cana-2947	289	16	chakravarthi	chakravarthi	NOUN
cana-2947	289	17	,	,	PUNCT
cana-2947	289	18	m.	m.	NOUN
cana-2947	289	19	a.	a.	PROPN
cana-2947	289	20	,	,	PUNCT
cana-2947	289	21	fernandez	fernandez	PROPN
cana-2947	289	22	,	,	PUNCT
cana-2947	289	23	t.	t.	PROPN
cana-2947	289	24	f.	f.	PROPN
cana-2947	289	25	,	,	PUNCT
cana-2947	289	26	&	&	CCONJ
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cana-2947	289	29	p.	p.	PROPN
cana-2947	289	30	h.	h.	PROPN
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cana-2947	290	2	bioshield	bioshield	ADJ
cana-2947	290	3	algorithm	algorithm	NOUN
cana-2947	290	4	:	:	PUNCT
cana-2947	290	5	pioneering	pioneer	VERB
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cana-2947	290	7	-	-	PUNCT
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cana-2947	290	9	adaptive	adaptive	ADJ
cana-2947	290	10	security	security	NOUN
cana-2947	290	11	in	in	ADP
cana-2947	290	12	iot	iot	PROPN
cana-2947	290	13	networks	network	NOUN
cana-2947	290	14	through	through	ADP
cana-2947	290	15	nature	nature	NOUN
cana-2947	290	16	-	-	PUNCT
cana-2947	290	17	inspired	inspire	VERB
cana-2947	290	18	machine	machine	NOUN
cana-2947	290	19	learning	learning	NOUN
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