id	sid	tid	token	lemma	pos
cana-2261	1	1	communications	communication	NOUN
cana-2261	1	2	on	on	ADP
cana-2261	1	3	applied	apply	VERB
cana-2261	1	4	nonlinear	nonlinear	ADJ
cana-2261	1	5	analysis	analysis	NOUN
cana-2261	1	6	issn	issn	NOUN
cana-2261	1	7	:	:	PUNCT
cana-2261	1	8	1074	1074	NUM
cana-2261	1	9	-	-	PUNCT
cana-2261	1	10	133x	133x	NUM
cana-2261	1	11	vol	vol	NOUN
cana-2261	1	12	32	32	NUM
cana-2261	1	13	no	no	NOUN
cana-2261	1	14	.	.	PUNCT
cana-2261	2	1	2s	2s	NUM
cana-2261	2	2	(	(	PUNCT
cana-2261	2	3	2025	2025	NUM
cana-2261	2	4	)	)	PUNCT
cana-2261	2	5	157	157	NUM
cana-2261	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	2	7	e	e	X
cana-2261	2	8	-	-	ADJ
cana-2261	2	9	healthcare	healthcare	ADJ
cana-2261	2	10	system	system	NOUN
cana-2261	2	11	for	for	ADP
cana-2261	2	12	stroke	stroke	NOUN
cana-2261	2	13	management	management	NOUN
cana-2261	2	14	using	use	VERB
cana-2261	2	15	iot	iot	NOUN
cana-2261	2	16	and	and	CCONJ
cana-2261	2	17	machine	machine	NOUN
cana-2261	2	18	learning	learn	VERB
cana-2261	2	19	chandni	chandni	PROPN
cana-2261	2	20	sawlani1	sawlani1	PROPN
cana-2261	2	21	,	,	PUNCT
cana-2261	2	22	pooja	pooja	PROPN
cana-2261	2	23	sharma2	sharma2	NOUN
cana-2261	2	24	1assistant	1assistant	NUM
cana-2261	2	25	professor	professor	NOUN
cana-2261	2	26	,	,	PUNCT
cana-2261	2	27	department	department	NOUN
cana-2261	2	28	of	of	ADP
cana-2261	2	29	cs	cs	PROPN
cana-2261	2	30	&	&	CCONJ
cana-2261	2	31	it	it	PRON
cana-2261	2	32	,	,	PUNCT
cana-2261	2	33	kalinga	kalinga	PROPN
cana-2261	2	34	university	university	PROPN
cana-2261	2	35	,	,	PUNCT
cana-2261	2	36	raipur	raipur	PROPN
cana-2261	2	37	,	,	PUNCT
cana-2261	2	38	india	india	PROPN
cana-2261	2	39	.	.	PUNCT
cana-2261	3	1	2research	2research	NUM
cana-2261	3	2	scholar	scholar	NOUN
cana-2261	3	3	,	,	PUNCT
cana-2261	3	4	department	department	NOUN
cana-2261	3	5	of	of	ADP
cana-2261	3	6	cs	cs	PROPN
cana-2261	3	7	&	&	CCONJ
cana-2261	3	8	it	it	PRON
cana-2261	3	9	,	,	PUNCT
cana-2261	3	10	kalinga	kalinga	PROPN
cana-2261	3	11	university	university	PROPN
cana-2261	3	12	,	,	PUNCT
cana-2261	3	13	raipur	raipur	PROPN
cana-2261	3	14	,	,	PUNCT
cana-2261	3	15	india	india	PROPN
cana-2261	3	16	.	.	PUNCT
cana-2261	4	1	article	article	PROPN
cana-2261	4	2	history	history	NOUN
cana-2261	4	3	:	:	PUNCT
cana-2261	4	4	received	receive	VERB
cana-2261	4	5	:	:	PUNCT
cana-2261	4	6	10	10	NUM
cana-2261	4	7	-	-	SYM
cana-2261	4	8	09	09	NUM
cana-2261	4	9	-	-	PUNCT
cana-2261	4	10	2024	2024	NUM
cana-2261	4	11	revised	revise	VERB
cana-2261	4	12	:	:	PUNCT
cana-2261	4	13	17	17	NUM
cana-2261	4	14	-	-	SYM
cana-2261	4	15	10	10	NUM
cana-2261	4	16	-	-	PUNCT
cana-2261	4	17	2024	2024	NUM
cana-2261	4	18	accepted	accept	VERB
cana-2261	4	19	:	:	PUNCT
cana-2261	4	20	28	28	NUM
cana-2261	4	21	-	-	SYM
cana-2261	4	22	10	10	NUM
cana-2261	4	23	-	-	PUNCT
cana-2261	4	24	2024	2024	NUM
cana-2261	4	25	abstract	abstract	NOUN
cana-2261	4	26	:	:	PUNCT
cana-2261	4	27	machine	machine	NOUN
cana-2261	4	28	learning	learning	NOUN
cana-2261	4	29	is	be	AUX
cana-2261	4	30	one	one	NUM
cana-2261	4	31	of	of	ADP
cana-2261	4	32	the	the	DET
cana-2261	4	33	hottest	hot	ADJ
cana-2261	4	34	topics	topic	NOUN
cana-2261	4	35	in	in	ADP
cana-2261	4	36	e	e	NOUN
cana-2261	4	37	-	-	NOUN
cana-2261	4	38	healthcare	healthcare	NOUN
cana-2261	4	39	and	and	CCONJ
cana-2261	4	40	has	have	VERB
cana-2261	4	41	a	a	DET
cana-2261	4	42	big	big	ADJ
cana-2261	4	43	social	social	ADJ
cana-2261	4	44	impact	impact	NOUN
cana-2261	4	45	.	.	PUNCT
cana-2261	5	1	it	it	PRON
cana-2261	5	2	is	be	AUX
cana-2261	5	3	challenging	challenge	VERB
cana-2261	5	4	to	to	PART
cana-2261	5	5	build	build	VERB
cana-2261	5	6	and	and	CCONJ
cana-2261	5	7	develop	develop	VERB
cana-2261	5	8	an	an	DET
cana-2261	5	9	efficient	efficient	ADJ
cana-2261	5	10	and	and	CCONJ
cana-2261	5	11	successful	successful	ADJ
cana-2261	5	12	e	e	ADJ
cana-2261	5	13	-	-	ADJ
cana-2261	5	14	healthcare	healthcare	ADJ
cana-2261	5	15	system	system	NOUN
cana-2261	5	16	without	without	ADP
cana-2261	5	17	machine	machine	NOUN
cana-2261	5	18	learning	learning	NOUN
cana-2261	5	19	.	.	PUNCT
cana-2261	6	1	machine	machine	NOUN
cana-2261	6	2	learning	learning	PROPN
cana-2261	6	3	's	's	PART
cana-2261	6	4	primary	primary	ADJ
cana-2261	6	5	function	function	NOUN
cana-2261	6	6	is	be	AUX
cana-2261	6	7	to	to	PART
cana-2261	6	8	analyse	analyse	VERB
cana-2261	6	9	healthcare	healthcare	PROPN
cana-2261	6	10	data	data	PROPN
cana-2261	6	11	,	,	PUNCT
cana-2261	6	12	which	which	PRON
cana-2261	6	13	is	be	AUX
cana-2261	6	14	gathered	gather	VERB
cana-2261	6	15	from	from	ADP
cana-2261	6	16	various	various	ADJ
cana-2261	6	17	sources	source	NOUN
cana-2261	6	18	and	and	CCONJ
cana-2261	6	19	can	can	AUX
cana-2261	6	20	be	be	AUX
cana-2261	6	21	both	both	CCONJ
cana-2261	6	22	homogeneous	homogeneous	ADJ
cana-2261	6	23	and	and	CCONJ
cana-2261	6	24	heterogeneous	heterogeneous	ADJ
cana-2261	6	25	.	.	PUNCT
cana-2261	7	1	therefore	therefore	ADV
cana-2261	7	2	,	,	PUNCT
cana-2261	7	3	creating	create	VERB
cana-2261	7	4	an	an	DET
cana-2261	7	5	effective	effective	ADJ
cana-2261	7	6	machine	machine	NOUN
cana-2261	7	7	learning	learn	VERB
cana-2261	7	8	algorithm	algorithm	NOUN
cana-2261	7	9	that	that	PRON
cana-2261	7	10	functions	function	VERB
cana-2261	7	11	with	with	ADP
cana-2261	7	12	both	both	CCONJ
cana-2261	7	13	homogeneous	homogeneous	ADJ
cana-2261	7	14	and	and	CCONJ
cana-2261	7	15	heterogeneous	heterogeneous	ADJ
cana-2261	7	16	data	datum	NOUN
cana-2261	7	17	is	be	AUX
cana-2261	7	18	a	a	DET
cana-2261	7	19	difficult	difficult	ADJ
cana-2261	7	20	task	task	NOUN
cana-2261	7	21	.	.	PUNCT
cana-2261	8	1	on	on	ADP
cana-2261	8	2	the	the	DET
cana-2261	8	3	other	other	ADJ
cana-2261	8	4	hand	hand	NOUN
cana-2261	8	5	,	,	PUNCT
cana-2261	8	6	it	it	PRON
cana-2261	8	7	is	be	AUX
cana-2261	8	8	noted	note	VERB
cana-2261	8	9	that	that	SCONJ
cana-2261	8	10	a	a	DET
cana-2261	8	11	sizable	sizable	ADJ
cana-2261	8	12	number	number	NOUN
cana-2261	8	13	of	of	ADP
cana-2261	8	14	health	health	NOUN
cana-2261	8	15	-	-	PUNCT
cana-2261	8	16	related	relate	VERB
cana-2261	8	17	products	product	NOUN
cana-2261	8	18	,	,	PUNCT
cana-2261	8	19	such	such	ADJ
cana-2261	8	20	as	as	ADP
cana-2261	8	21	fitness	fitness	NOUN
cana-2261	8	22	bands	band	NOUN
cana-2261	8	23	,	,	PUNCT
cana-2261	8	24	smart	smart	ADJ
cana-2261	8	25	watches	watch	NOUN
cana-2261	8	26	,	,	PUNCT
cana-2261	8	27	and	and	CCONJ
cana-2261	8	28	sensors	sensor	NOUN
cana-2261	8	29	,	,	PUNCT
cana-2261	8	30	are	be	AUX
cana-2261	8	31	being	be	AUX
cana-2261	8	32	developed	develop	VERB
cana-2261	8	33	,	,	PUNCT
cana-2261	8	34	and	and	CCONJ
cana-2261	8	35	the	the	DET
cana-2261	8	36	majority	majority	NOUN
cana-2261	8	37	of	of	ADP
cana-2261	8	38	people	people	NOUN
cana-2261	8	39	use	use	VERB
cana-2261	8	40	these	these	DET
cana-2261	8	41	items	item	NOUN
cana-2261	8	42	to	to	PART
cana-2261	8	43	track	track	VERB
cana-2261	8	44	their	their	PRON
cana-2261	8	45	own	own	ADJ
cana-2261	8	46	health	health	NOUN
cana-2261	8	47	.	.	PUNCT
cana-2261	9	1	each	each	DET
cana-2261	9	2	person	person	NOUN
cana-2261	9	3	's	's	PART
cana-2261	9	4	health	health	NOUN
cana-2261	9	5	data	datum	NOUN
cana-2261	9	6	is	be	AUX
cana-2261	9	7	also	also	ADV
cana-2261	9	8	gathered	gather	VERB
cana-2261	9	9	by	by	ADP
cana-2261	9	10	these	these	DET
cana-2261	9	11	devices	device	NOUN
cana-2261	9	12	,	,	PUNCT
cana-2261	9	13	and	and	CCONJ
cana-2261	9	14	a	a	DET
cana-2261	9	15	machine	machine	NOUN
cana-2261	9	16	learning	learn	VERB
cana-2261	9	17	algorithm	algorithm	NOUN
cana-2261	9	18	is	be	AUX
cana-2261	9	19	integrated	integrate	VERB
cana-2261	9	20	into	into	ADP
cana-2261	9	21	the	the	DET
cana-2261	9	22	data	datum	NOUN
cana-2261	9	23	to	to	PART
cana-2261	9	24	identify	identify	VERB
cana-2261	9	25	any	any	DET
cana-2261	9	26	strange	strange	ADJ
cana-2261	9	27	patterns	pattern	NOUN
cana-2261	9	28	or	or	CCONJ
cana-2261	9	29	behaviours	behaviour	NOUN
cana-2261	9	30	.	.	PUNCT
cana-2261	10	1	these	these	DET
cana-2261	10	2	gadgets	gadget	NOUN
cana-2261	10	3	capture	capture	VERB
cana-2261	10	4	any	any	DET
cana-2261	10	5	aberrant	aberrant	ADJ
cana-2261	10	6	behaviour	behaviour	NOUN
cana-2261	10	7	or	or	CCONJ
cana-2261	10	8	pattern	pattern	NOUN
cana-2261	10	9	,	,	PUNCT
cana-2261	10	10	and	and	CCONJ
cana-2261	10	11	an	an	DET
cana-2261	10	12	alarm	alarm	NOUN
cana-2261	10	13	message	message	NOUN
cana-2261	10	14	is	be	AUX
cana-2261	10	15	sent	send	VERB
cana-2261	10	16	to	to	ADP
cana-2261	10	17	the	the	DET
cana-2261	10	18	individual	individual	NOUN
cana-2261	10	19	.	.	PUNCT
cana-2261	11	1	thus	thus	ADV
cana-2261	11	2	,	,	PUNCT
cana-2261	11	3	machine	machine	NOUN
cana-2261	11	4	learning	learning	NOUN
cana-2261	11	5	(	(	PUNCT
cana-2261	11	6	ml	ml	NOUN
cana-2261	11	7	)	)	PUNCT
cana-2261	11	8	presents	present	VERB
cana-2261	11	9	a	a	DET
cana-2261	11	10	promising	promising	ADJ
cana-2261	11	11	technique	technique	NOUN
cana-2261	11	12	for	for	ADP
cana-2261	11	13	cutting	cut	VERB
cana-2261	11	14	healthcare	healthcare	NOUN
cana-2261	11	15	device	device	NOUN
cana-2261	11	16	costs	cost	NOUN
cana-2261	11	17	and	and	CCONJ
cana-2261	11	18	describing	describe	VERB
cana-2261	11	19	doctor	doctor	NOUN
cana-2261	11	20	-	-	PUNCT
cana-2261	11	21	patient	patient	NOUN
cana-2261	11	22	relationships	relationship	NOUN
cana-2261	11	23	at	at	ADP
cana-2261	11	24	a	a	DET
cana-2261	11	25	higher	high	ADJ
cana-2261	11	26	level	level	NOUN
cana-2261	11	27	.	.	PUNCT
cana-2261	12	1	keywords	keyword	NOUN
cana-2261	12	2	:	:	PUNCT
cana-2261	13	1	e	e	X
cana-2261	13	2	-	-	NOUN
cana-2261	13	3	healthcare	healthcare	NOUN
cana-2261	13	4	,	,	PUNCT
cana-2261	13	5	sensor	sensor	NOUN
cana-2261	13	6	,	,	PUNCT
cana-2261	13	7	machine	machine	NOUN
cana-2261	13	8	learning	learning	NOUN
cana-2261	13	9	.	.	PUNCT
cana-2261	14	1	1	1	X
cana-2261	14	2	.	.	X
cana-2261	14	3	introduction	introduction	NOUN
cana-2261	14	4	nowadays	nowadays	ADV
cana-2261	14	5	,	,	PUNCT
cana-2261	14	6	because	because	SCONJ
cana-2261	14	7	of	of	ADP
cana-2261	14	8	technological	technological	ADJ
cana-2261	14	9	improvements	improvement	NOUN
cana-2261	14	10	,	,	PUNCT
cana-2261	14	11	a	a	DET
cana-2261	14	12	lot	lot	NOUN
cana-2261	14	13	of	of	ADP
cana-2261	14	14	data	datum	NOUN
cana-2261	14	15	is	be	AUX
cana-2261	14	16	collected	collect	VERB
cana-2261	14	17	,	,	PUNCT
cana-2261	14	18	particularly	particularly	ADV
cana-2261	14	19	in	in	ADP
cana-2261	14	20	the	the	DET
cana-2261	14	21	biomedical	biomedical	ADJ
cana-2261	14	22	and	and	CCONJ
cana-2261	14	23	healthcare	healthcare	NOUN
cana-2261	14	24	domains	domain	NOUN
cana-2261	14	25	.	.	PUNCT
cana-2261	15	1	this	this	DET
cana-2261	15	2	data	datum	NOUN
cana-2261	15	3	can	can	AUX
cana-2261	15	4	be	be	AUX
cana-2261	15	5	summed	sum	VERB
cana-2261	15	6	up	up	ADP
cana-2261	15	7	as	as	ADP
cana-2261	15	8	text	text	NOUN
cana-2261	15	9	,	,	PUNCT
cana-2261	15	10	audio	audio	NOUN
cana-2261	15	11	,	,	PUNCT
cana-2261	15	12	images	image	NOUN
cana-2261	15	13	,	,	PUNCT
cana-2261	15	14	and	and	CCONJ
cana-2261	15	15	so	so	ADV
cana-2261	15	16	on	on	ADV
cana-2261	15	17	.	.	PUNCT
cana-2261	16	1	moreover	moreover	ADV
cana-2261	16	2	,	,	PUNCT
cana-2261	16	3	it	it	PRON
cana-2261	16	4	is	be	AUX
cana-2261	16	5	noted	note	VERB
cana-2261	16	6	that	that	SCONJ
cana-2261	16	7	the	the	DET
cana-2261	16	8	data	data	NOUN
cana-2261	16	9	is	be	AUX
cana-2261	16	10	inherently	inherently	ADV
cana-2261	16	11	unstructured	unstructure	VERB
cana-2261	17	1	[	[	X
cana-2261	17	2	1	1	NUM
cana-2261	17	3	]	]	X
cana-2261	17	4	[	[	X
cana-2261	17	5	2	2	NUM
cana-2261	17	6	]	]	PUNCT
cana-2261	17	7	.	.	PUNCT
cana-2261	18	1	therefore	therefore	ADV
cana-2261	18	2	,	,	PUNCT
cana-2261	18	3	it	it	PRON
cana-2261	18	4	is	be	AUX
cana-2261	18	5	a	a	DET
cana-2261	18	6	difficult	difficult	ADJ
cana-2261	18	7	task	task	NOUN
cana-2261	18	8	to	to	ADP
cana-2261	18	9	separate	separate	ADJ
cana-2261	18	10	pertinent	pertinent	ADJ
cana-2261	18	11	and	and	CCONJ
cana-2261	18	12	useful	useful	ADJ
cana-2261	18	13	information	information	NOUN
cana-2261	18	14	from	from	ADP
cana-2261	18	15	the	the	DET
cana-2261	18	16	massive	massive	ADJ
cana-2261	18	17	amount	amount	NOUN
cana-2261	18	18	of	of	ADP
cana-2261	18	19	data	datum	NOUN
cana-2261	18	20	that	that	PRON
cana-2261	18	21	has	have	AUX
cana-2261	18	22	been	be	AUX
cana-2261	18	23	obtained	obtain	VERB
cana-2261	18	24	[	[	PUNCT
cana-2261	18	25	4	4	NUM
cana-2261	18	26	]	]	PUNCT
cana-2261	18	27	.	.	PUNCT
cana-2261	19	1	it	it	PRON
cana-2261	19	2	is	be	AUX
cana-2261	19	3	also	also	ADV
cana-2261	19	4	observed	observe	VERB
cana-2261	19	5	that	that	SCONJ
cana-2261	19	6	early	early	ADJ
cana-2261	19	7	disease	disease	NOUN
cana-2261	19	8	diagnosis	diagnosis	NOUN
cana-2261	19	9	considerably	considerably	ADV
cana-2261	19	10	lowers	lower	VERB
cana-2261	19	11	the	the	DET
cana-2261	19	12	risk	risk	NOUN
cana-2261	19	13	to	to	ADP
cana-2261	19	14	human	human	ADJ
cana-2261	19	15	life	life	NOUN
cana-2261	19	16	.	.	PUNCT
cana-2261	20	1	regretfully	regretfully	ADV
cana-2261	20	2	,	,	PUNCT
cana-2261	20	3	it	it	PRON
cana-2261	20	4	is	be	AUX
cana-2261	20	5	unable	unable	ADJ
cana-2261	20	6	to	to	PART
cana-2261	20	7	effectively	effectively	ADV
cana-2261	20	8	harvest	harvest	VERB
cana-2261	20	9	pertinent	pertinent	ADJ
cana-2261	20	10	data	datum	NOUN
cana-2261	20	11	for	for	ADP
cana-2261	20	12	wise	wise	ADJ
cana-2261	20	13	decisions	decision	NOUN
cana-2261	20	14	[	[	X
cana-2261	20	15	6].on	6].on	NOUN
cana-2261	20	16	the	the	DET
cana-2261	20	17	other	other	ADJ
cana-2261	20	18	hand	hand	NOUN
cana-2261	20	19	,	,	PUNCT
cana-2261	20	20	data	datum	NOUN
cana-2261	20	21	mining	mining	NOUN
cana-2261	20	22	is	be	AUX
cana-2261	20	23	a	a	DET
cana-2261	20	24	rapidly	rapidly	ADV
cana-2261	20	25	developing	develop	VERB
cana-2261	20	26	field	field	NOUN
cana-2261	20	27	that	that	PRON
cana-2261	20	28	takes	take	VERB
cana-2261	20	29	large	large	ADJ
cana-2261	20	30	amounts	amount	NOUN
cana-2261	20	31	of	of	ADP
cana-2261	20	32	unexplored	unexplored	ADJ
cana-2261	20	33	data	datum	NOUN
cana-2261	20	34	and	and	CCONJ
cana-2261	20	35	uses	use	VERB
cana-2261	20	36	it	it	PRON
cana-2261	20	37	to	to	PART
cana-2261	20	38	extract	extract	VERB
cana-2261	20	39	information	information	NOUN
cana-2261	20	40	or	or	CCONJ
cana-2261	20	41	meaningful	meaningful	ADJ
cana-2261	20	42	patterns	pattern	NOUN
cana-2261	20	43	[	[	X
cana-2261	20	44	8	8	NUM
cana-2261	20	45	]	]	PUNCT
cana-2261	20	46	.	.	PUNCT
cana-2261	21	1	depending	depend	VERB
cana-2261	21	2	on	on	ADP
cana-2261	21	3	the	the	DET
cana-2261	21	4	type	type	NOUN
cana-2261	21	5	of	of	ADP
cana-2261	21	6	data	datum	NOUN
cana-2261	21	7	,	,	PUNCT
cana-2261	21	8	the	the	DET
cana-2261	21	9	information	information	NOUN
cana-2261	21	10	that	that	PRON
cana-2261	21	11	has	have	AUX
cana-2261	21	12	been	be	AUX
cana-2261	21	13	mined	mine	VERB
cana-2261	21	14	can	can	AUX
cana-2261	21	15	be	be	AUX
cana-2261	21	16	used	use	VERB
cana-2261	21	17	to	to	PART
cana-2261	21	18	make	make	VERB
cana-2261	21	19	various	various	ADJ
cana-2261	21	20	administrative	administrative	ADJ
cana-2261	21	21	decisions	decision	NOUN
cana-2261	21	22	.	.	PUNCT
cana-2261	22	1	data	data	PROPN
cana-2261	22	2	mining	mining	NOUN
cana-2261	22	3	's	's	PART
cana-2261	22	4	branch	branch	NOUN
cana-2261	22	5	of	of	ADP
cana-2261	22	6	machine	machine	NOUN
cana-2261	22	7	learning	learn	VERB
cana-2261	22	8	studies	study	NOUN
cana-2261	22	9	several	several	ADJ
cana-2261	22	10	forms	form	NOUN
cana-2261	22	11	of	of	ADP
cana-2261	22	12	learning	learn	VERB
cana-2261	22	13	techniques	technique	NOUN
cana-2261	22	14	,	,	PUNCT
cana-2261	22	15	including	include	VERB
cana-2261	22	16	supervised	supervised	ADJ
cana-2261	22	17	,	,	PUNCT
cana-2261	22	18	semisupervised	semisupervise	VERB
cana-2261	22	19	,	,	PUNCT
cana-2261	22	20	and	and	CCONJ
cana-2261	22	21	unsupervised	unsupervised	ADJ
cana-2261	22	22	learning	learning	NOUN
cana-2261	22	23	[	[	X
cana-2261	22	24	22	22	NUM
cana-2261	22	25	]	]	PUNCT
cana-2261	22	26	.	.	PUNCT
cana-2261	23	1	numerous	numerous	ADJ
cana-2261	23	2	researchers	researcher	NOUN
cana-2261	23	3	investigate	investigate	VERB
cana-2261	23	4	machine	machine	NOUN
cana-2261	23	5	learning	learning	NOUN
cana-2261	23	6	's	's	PART
cana-2261	23	7	potential	potential	NOUN
cana-2261	23	8	for	for	ADP
cana-2261	23	9	accurate	accurate	ADJ
cana-2261	23	10	disease	disease	NOUN
cana-2261	23	11	prediction	prediction	NOUN
cana-2261	23	12	in	in	ADP
cana-2261	23	13	order	order	NOUN
cana-2261	23	14	to	to	PART
cana-2261	23	15	substantiate	substantiate	VERB
cana-2261	23	16	this	this	DET
cana-2261	23	17	claim	claim	NOUN
cana-2261	23	18	.	.	PUNCT
cana-2261	24	1	however	however	ADV
cana-2261	24	2	,	,	PUNCT
cana-2261	24	3	prompt	prompt	ADJ
cana-2261	24	4	and	and	CCONJ
cana-2261	24	5	precise	precise	ADJ
cana-2261	24	6	disease	disease	NOUN
cana-2261	24	7	diagnosis	diagnosis	NOUN
cana-2261	24	8	is	be	AUX
cana-2261	24	9	the	the	DET
cana-2261	24	10	most	most	ADV
cana-2261	24	11	pressing	pressing	ADJ
cana-2261	24	12	necessity	necessity	NOUN
cana-2261	24	13	for	for	ADP
cana-2261	24	14	healthcare	healthcare	NOUN
cana-2261	24	15	.	.	PUNCT
cana-2261	25	1	thus	thus	ADV
cana-2261	25	2	,	,	PUNCT
cana-2261	25	3	regression	regression	VERB
cana-2261	25	4	analysis	analysis	NOUN
cana-2261	25	5	of	of	ADP
cana-2261	25	6	healthcare	healthcare	NOUN
cana-2261	25	7	data	datum	NOUN
cana-2261	25	8	concerning	concern	VERB
cana-2261	25	9	illness	illness	NOUN
cana-2261	25	10	phases	phase	NOUN
cana-2261	25	11	,	,	PUNCT
cana-2261	25	12	decision	decision	NOUN
cana-2261	25	13	-	-	PUNCT
cana-2261	25	14	making	making	NOUN
cana-2261	25	15	,	,	PUNCT
cana-2261	25	16	prediction	prediction	NOUN
cana-2261	25	17	,	,	PUNCT
cana-2261	25	18	and	and	CCONJ
cana-2261	25	19	upkeep	upkeep	NOUN
cana-2261	25	20	of	of	ADP
cana-2261	25	21	electronic	electronic	ADJ
cana-2261	25	22	health	health	NOUN
cana-2261	25	23	records	record	NOUN
cana-2261	25	24	is	be	AUX
cana-2261	25	25	the	the	DET
cana-2261	25	26	duty	duty	NOUN
cana-2261	25	27	of	of	ADP
cana-2261	25	28	machine	machine	NOUN
cana-2261	25	29	learning	learn	VERB
cana-2261	25	30	algorithms	algorithm	NOUN
cana-2261	25	31	[	[	X
cana-2261	25	32	3	3	NUM
cana-2261	25	33	]	]	PUNCT
cana-2261	25	34	.	.	PUNCT
cana-2261	26	1	additionally	additionally	ADV
cana-2261	26	2	,	,	PUNCT
cana-2261	26	3	it	it	PRON
cana-2261	26	4	is	be	AUX
cana-2261	26	5	anticipated	anticipate	VERB
cana-2261	26	6	that	that	SCONJ
cana-2261	26	7	machine	machine	NOUN
cana-2261	26	8	learning	learn	VERB
cana-2261	26	9	algorithms	algorithm	NOUN
cana-2261	26	10	will	will	AUX
cana-2261	26	11	be	be	AUX
cana-2261	26	12	able	able	ADJ
cana-2261	26	13	to	to	PART
cana-2261	26	14	process	process	VERB
cana-2261	26	15	both	both	CCONJ
cana-2261	26	16	organised	organised	ADJ
cana-2261	26	17	and	and	CCONJ
cana-2261	26	18	unstructured	unstructured	ADJ
cana-2261	26	19	data	datum	NOUN
cana-2261	26	20	and	and	CCONJ
cana-2261	26	21	produce	produce	VERB
cana-2261	26	22	diagnostic	diagnostic	ADJ
cana-2261	26	23	results	result	NOUN
cana-2261	26	24	that	that	PRON
cana-2261	26	25	are	be	AUX
cana-2261	26	26	more	more	ADV
cana-2261	26	27	precise	precise	ADJ
cana-2261	27	1	[	[	X
cana-2261	27	2	10	10	NUM
cana-2261	27	3	]	]	X
cana-2261	28	1	[	[	X
cana-2261	28	2	17	17	NUM
cana-2261	28	3	]	]	PUNCT
cana-2261	28	4	.	.	PUNCT
cana-2261	29	1	additionally	additionally	ADV
cana-2261	29	2	,	,	PUNCT
cana-2261	29	3	it	it	PRON
cana-2261	29	4	is	be	AUX
cana-2261	29	5	noted	note	VERB
cana-2261	29	6	that	that	SCONJ
cana-2261	29	7	ontologycommunications	ontologycommunication	NOUN
cana-2261	29	8	on	on	ADP
cana-2261	29	9	applied	apply	VERB
cana-2261	29	10	nonlinear	nonlinear	ADJ
cana-2261	29	11	analysis	analysis	NOUN
cana-2261	29	12	issn	issn	NOUN
cana-2261	29	13	:	:	PUNCT
cana-2261	29	14	1074	1074	NUM
cana-2261	29	15	-	-	PUNCT
cana-2261	29	16	133x	133x	NUM
cana-2261	29	17	vol	vol	NOUN
cana-2261	29	18	32	32	NUM
cana-2261	29	19	no	no	NOUN
cana-2261	29	20	.	.	PUNCT
cana-2261	30	1	2s	2s	NUM
cana-2261	30	2	(	(	PUNCT
cana-2261	30	3	2025	2025	NUM
cana-2261	30	4	)	)	PUNCT
cana-2261	30	5	158	158	NUM
cana-2261	30	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	30	7	based	base	VERB
cana-2261	30	8	and	and	CCONJ
cana-2261	30	9	multi	multi	ADJ
cana-2261	30	10	-	-	ADJ
cana-2261	30	11	agent	agent	ADJ
cana-2261	30	12	approaches	approach	NOUN
cana-2261	30	13	have	have	AUX
cana-2261	30	14	been	be	AUX
cana-2261	30	15	created	create	VERB
cana-2261	30	16	for	for	ADP
cana-2261	30	17	efficient	efficient	ADJ
cana-2261	30	18	analysis	analysis	NOUN
cana-2261	30	19	of	of	ADP
cana-2261	30	20	healthcare	healthcare	PROPN
cana-2261	30	21	data	datum	NOUN
cana-2261	30	22	.	.	PUNCT
cana-2261	31	1	multiple	multiple	ADJ
cana-2261	31	2	agents	agent	NOUN
cana-2261	31	3	analyse	analyse	VERB
cana-2261	31	4	the	the	DET
cana-2261	31	5	data	datum	NOUN
cana-2261	31	6	in	in	ADP
cana-2261	31	7	a	a	DET
cana-2261	31	8	multi	multi	ADJ
cana-2261	31	9	-	-	ADJ
cana-2261	31	10	agent	agent	ADJ
cana-2261	31	11	system	system	NOUN
cana-2261	31	12	to	to	PART
cana-2261	31	13	extract	extract	VERB
cana-2261	31	14	pertinent	pertinent	ADJ
cana-2261	31	15	information	information	NOUN
cana-2261	31	16	and	and	CCONJ
cana-2261	31	17	patterns	pattern	NOUN
cana-2261	31	18	[	[	X
cana-2261	31	19	12	12	NUM
cana-2261	31	20	]	]	PUNCT
cana-2261	31	21	.	.	PUNCT
cana-2261	32	1	on	on	ADP
cana-2261	32	2	the	the	DET
cana-2261	32	3	other	other	ADJ
cana-2261	32	4	hand	hand	NOUN
cana-2261	32	5	,	,	PUNCT
cana-2261	32	6	ontology	ontology	NOUN
cana-2261	32	7	-	-	PUNCT
cana-2261	32	8	based	base	VERB
cana-2261	32	9	systems	system	NOUN
cana-2261	32	10	are	be	AUX
cana-2261	32	11	made	make	VERB
cana-2261	32	12	to	to	PART
cana-2261	32	13	extract	extract	VERB
cana-2261	32	14	useful	useful	ADJ
cana-2261	32	15	rules	rule	NOUN
cana-2261	32	16	from	from	ADP
cana-2261	32	17	data	datum	NOUN
cana-2261	32	18	using	use	VERB
cana-2261	32	19	ontology	ontology	NOUN
cana-2261	33	1	[	[	X
cana-2261	33	2	5	5	NUM
cana-2261	33	3	]	]	X
cana-2261	33	4	[	[	X
cana-2261	33	5	16	16	NUM
cana-2261	33	6	]	]	PUNCT
cana-2261	33	7	.	.	PUNCT
cana-2261	34	1	the	the	DET
cana-2261	34	2	purpose	purpose	NOUN
cana-2261	34	3	of	of	ADP
cana-2261	34	4	the	the	DET
cana-2261	34	5	created	create	VERB
cana-2261	34	6	remote	remote	ADJ
cana-2261	34	7	monitoring	monitoring	NOUN
cana-2261	34	8	systems	system	NOUN
cana-2261	34	9	is	be	AUX
cana-2261	34	10	to	to	PART
cana-2261	34	11	offer	offer	VERB
cana-2261	34	12	health	health	NOUN
cana-2261	34	13	facilities	facility	NOUN
cana-2261	34	14	to	to	ADP
cana-2261	34	15	users	user	NOUN
cana-2261	34	16	who	who	PRON
cana-2261	34	17	live	live	VERB
cana-2261	34	18	far	far	ADV
cana-2261	34	19	away.[18	away.[18	ADJ
cana-2261	34	20	]	]	PUNCT
cana-2261	35	1	[	[	X
cana-2261	35	2	23	23	NUM
cana-2261	35	3	]	]	PUNCT
cana-2261	35	4	.	.	PUNCT
cana-2261	36	1	2	2	X
cana-2261	36	2	.	.	X
cana-2261	36	3	research	research	NOUN
cana-2261	36	4	objectives	objective	NOUN
cana-2261	36	5	researchers	researcher	NOUN
cana-2261	36	6	are	be	AUX
cana-2261	36	7	currently	currently	ADV
cana-2261	36	8	interested	interested	ADJ
cana-2261	36	9	in	in	ADP
cana-2261	36	10	the	the	DET
cana-2261	36	11	healthcare	healthcare	NOUN
cana-2261	36	12	profession	profession	NOUN
cana-2261	36	13	because	because	SCONJ
cana-2261	36	14	of	of	ADP
cana-2261	36	15	the	the	DET
cana-2261	36	16	rapidly	rapidly	ADV
cana-2261	36	17	expanding	expand	VERB
cana-2261	36	18	healthcare	healthcare	NOUN
cana-2261	36	19	data	datum	NOUN
cana-2261	36	20	,	,	PUNCT
cana-2261	36	21	the	the	DET
cana-2261	36	22	most	most	ADV
cana-2261	36	23	up	up	ADP
cana-2261	36	24	-	-	PUNCT
cana-2261	36	25	to	to	ADP
cana-2261	36	26	-	-	PUNCT
cana-2261	36	27	date	date	NOUN
cana-2261	36	28	medical	medical	ADJ
cana-2261	36	29	imaging	imaging	NOUN
cana-2261	36	30	and	and	CCONJ
cana-2261	36	31	diagnostic	diagnostic	ADJ
cana-2261	36	32	equipment	equipment	NOUN
cana-2261	36	33	,	,	PUNCT
cana-2261	36	34	the	the	DET
cana-2261	36	35	state	state	NOUN
cana-2261	36	36	-	-	PUNCT
cana-2261	36	37	of	of	ADP
cana-2261	36	38	-	-	PUNCT
cana-2261	36	39	the	the	DET
cana-2261	36	40	-	-	PUNCT
cana-2261	36	41	art	art	NOUN
cana-2261	36	42	medical	medical	ADJ
cana-2261	36	43	facilities	facility	NOUN
cana-2261	36	44	,	,	PUNCT
cana-2261	36	45	etc	etc	X
cana-2261	36	46	.	.	X
cana-2261	36	47	automated	automate	VERB
cana-2261	36	48	diagnostic	diagnostic	ADJ
cana-2261	36	49	and	and	CCONJ
cana-2261	36	50	imaging	imaging	NOUN
cana-2261	36	51	equipment	equipment	NOUN
cana-2261	36	52	generate	generate	VERB
cana-2261	36	53	vast	vast	ADJ
cana-2261	36	54	amounts	amount	NOUN
cana-2261	36	55	of	of	ADP
cana-2261	36	56	medical	medical	ADJ
cana-2261	36	57	data	datum	NOUN
cana-2261	36	58	in	in	ADP
cana-2261	36	59	the	the	DET
cana-2261	36	60	medical	medical	ADJ
cana-2261	36	61	industry	industry	NOUN
cana-2261	36	62	,	,	PUNCT
cana-2261	36	63	which	which	PRON
cana-2261	36	64	can	can	AUX
cana-2261	36	65	be	be	AUX
cana-2261	36	66	challenging	challenge	VERB
cana-2261	36	67	to	to	PART
cana-2261	36	68	manage	manage	VERB
cana-2261	36	69	.	.	PUNCT
cana-2261	37	1	conversely	conversely	ADV
cana-2261	37	2	,	,	PUNCT
cana-2261	37	3	a	a	DET
cana-2261	37	4	variety	variety	NOUN
cana-2261	37	5	of	of	ADP
cana-2261	37	6	machine	machine	NOUN
cana-2261	37	7	learning	learning	NOUN
cana-2261	37	8	approaches	approach	NOUN
cana-2261	37	9	are	be	AUX
cana-2261	37	10	used	use	VERB
cana-2261	37	11	to	to	PART
cana-2261	37	12	process	process	VERB
cana-2261	37	13	medical	medical	ADJ
cana-2261	37	14	data	datum	NOUN
cana-2261	37	15	and	and	CCONJ
cana-2261	37	16	arrive	arrive	VERB
cana-2261	37	17	at	at	ADP
cana-2261	37	18	accurate	accurate	ADJ
cana-2261	37	19	disease	disease	NOUN
cana-2261	37	20	diagnoses	diagnosis	NOUN
cana-2261	37	21	.	.	PUNCT
cana-2261	38	1	but	but	CCONJ
cana-2261	38	2	it	it	PRON
cana-2261	38	3	turns	turn	VERB
cana-2261	38	4	out	out	ADP
cana-2261	38	5	that	that	SCONJ
cana-2261	38	6	one	one	NUM
cana-2261	38	7	of	of	ADP
cana-2261	38	8	the	the	DET
cana-2261	38	9	main	main	ADJ
cana-2261	38	10	issues	issue	NOUN
cana-2261	38	11	with	with	ADP
cana-2261	38	12	making	make	VERB
cana-2261	38	13	the	the	DET
cana-2261	38	14	right	right	ADJ
cana-2261	38	15	diagnosis	diagnosis	NOUN
cana-2261	38	16	is	be	AUX
cana-2261	38	17	accuracy	accuracy	NOUN
cana-2261	38	18	.	.	PUNCT
cana-2261	39	1	in	in	ADP
cana-2261	39	2	order	order	NOUN
cana-2261	39	3	to	to	PART
cana-2261	39	4	tackle	tackle	VERB
cana-2261	39	5	the	the	DET
cana-2261	39	6	previously	previously	ADV
cana-2261	39	7	mentioned	mention	VERB
cana-2261	39	8	issue	issue	NOUN
cana-2261	39	9	of	of	ADP
cana-2261	39	10	disease	disease	NOUN
cana-2261	39	11	diagnosis	diagnosis	NOUN
cana-2261	39	12	,	,	PUNCT
cana-2261	39	13	this	this	DET
cana-2261	39	14	study	study	NOUN
cana-2261	39	15	investigates	investigate	VERB
cana-2261	39	16	deep	deep	ADJ
cana-2261	39	17	neural	neural	ADJ
cana-2261	39	18	networks	network	NOUN
cana-2261	39	19	'	'	PART
cana-2261	39	20	capacity	capacity	NOUN
cana-2261	39	21	to	to	PART
cana-2261	39	22	manage	manage	VERB
cana-2261	39	23	unbalanced	unbalanced	ADJ
cana-2261	39	24	medical	medical	ADJ
cana-2261	39	25	data	datum	NOUN
cana-2261	39	26	.	.	PUNCT
cana-2261	40	1	additionally	additionally	ADV
cana-2261	40	2	,	,	PUNCT
cana-2261	40	3	the	the	DET
cana-2261	40	4	dl	dl	PROPN
cana-2261	40	5	approach	approach	NOUN
cana-2261	40	6	is	be	AUX
cana-2261	40	7	used	use	VERB
cana-2261	40	8	to	to	PART
cana-2261	40	9	identify	identify	VERB
cana-2261	40	10	the	the	DET
cana-2261	40	11	pertinent	pertinent	ADJ
cana-2261	40	12	aspects	aspect	NOUN
cana-2261	40	13	for	for	ADP
cana-2261	40	14	disease	disease	NOUN
cana-2261	40	15	diagnosis	diagnosis	NOUN
cana-2261	40	16	.	.	PUNCT
cana-2261	41	1	the	the	DET
cana-2261	41	2	contributions	contribution	NOUN
cana-2261	41	3	of	of	ADP
cana-2261	41	4	this	this	DET
cana-2261	41	5	chapter	chapter	NOUN
cana-2261	41	6	are	be	AUX
cana-2261	41	7	given	give	VERB
cana-2261	41	8	as	as	ADP
cana-2261	41	9	•	•	NOUN
cana-2261	41	10	creating	create	VERB
cana-2261	41	11	a	a	DET
cana-2261	41	12	deep	deep	ADJ
cana-2261	41	13	learning	learning	NOUN
cana-2261	41	14	model	model	NOUN
cana-2261	41	15	that	that	PRON
cana-2261	41	16	is	be	AUX
cana-2261	41	17	optimised	optimise	VERB
cana-2261	41	18	for	for	ADP
cana-2261	41	19	precise	precise	ADJ
cana-2261	41	20	stroke	stroke	NOUN
cana-2261	41	21	illness	illness	PROPN
cana-2261	41	22	prediction	prediction	NOUN
cana-2261	41	23	.	.	PUNCT
cana-2261	42	1	•	•	NOUN
cana-2261	42	2	using	use	VERB
cana-2261	42	3	a	a	DET
cana-2261	42	4	genetic	genetic	ADJ
cana-2261	42	5	algorithm	algorithm	NOUN
cana-2261	42	6	,	,	PUNCT
cana-2261	42	7	the	the	DET
cana-2261	42	8	pertinent	pertinent	ADJ
cana-2261	42	9	features	feature	VERB
cana-2261	42	10	for	for	ADP
cana-2261	42	11	stroke	stroke	NOUN
cana-2261	42	12	prediction	prediction	NOUN
cana-2261	42	13	are	be	AUX
cana-2261	42	14	identified	identify	VERB
cana-2261	42	15	.	.	PUNCT
cana-2261	43	1	•	•	NUM
cana-2261	43	2	the	the	DET
cana-2261	43	3	stroke	stroke	NOUN
cana-2261	43	4	dataset	dataset	VERB
cana-2261	43	5	is	be	AUX
cana-2261	43	6	used	use	VERB
cana-2261	43	7	to	to	PART
cana-2261	43	8	assess	assess	VERB
cana-2261	43	9	the	the	DET
cana-2261	43	10	effectiveness	effectiveness	NOUN
cana-2261	43	11	of	of	ADP
cana-2261	43	12	the	the	DET
cana-2261	43	13	deep	deep	ADJ
cana-2261	43	14	learning	learning	NOUN
cana-2261	43	15	method	method	NOUN
cana-2261	43	16	optimised	optimise	VERB
cana-2261	43	17	using	use	VERB
cana-2261	43	18	genetic	genetic	ADJ
cana-2261	43	19	algorithms	algorithm	NOUN
cana-2261	43	20	.	.	PUNCT
cana-2261	44	1	the	the	DET
cana-2261	44	2	organization	organization	NOUN
cana-2261	44	3	of	of	ADP
cana-2261	44	4	the	the	DET
cana-2261	44	5	remaining	remain	VERB
cana-2261	44	6	sections	section	NOUN
cana-2261	44	7	is	be	AUX
cana-2261	44	8	as	as	SCONJ
cana-2261	44	9	follows	follow	VERB
cana-2261	44	10	:	:	PUNCT
cana-2261	44	11	section	section	NOUN
cana-2261	44	12	2	2	NUM
cana-2261	44	13	presents	present	VERB
cana-2261	44	14	a	a	DET
cana-2261	44	15	challenge	challenge	NOUN
cana-2261	44	16	associated	associate	VERB
cana-2261	44	17	with	with	ADP
cana-2261	44	18	security	security	NOUN
cana-2261	44	19	in	in	ADP
cana-2261	44	20	the	the	DET
cana-2261	44	21	e	e	PROPN
cana-2261	44	22	-	-	PROPN
cana-2261	44	23	healthcare	healthcare	ADJ
cana-2261	44	24	system	system	NOUN
cana-2261	44	25	,	,	PUNCT
cana-2261	44	26	research	research	NOUN
cana-2261	44	27	motivation	motivation	NOUN
cana-2261	44	28	,	,	PUNCT
cana-2261	44	29	goals	goal	NOUN
cana-2261	44	30	,	,	PUNCT
cana-2261	44	31	and	and	CCONJ
cana-2261	44	32	contributions	contribution	NOUN
cana-2261	44	33	,	,	PUNCT
cana-2261	44	34	and	and	CCONJ
cana-2261	44	35	a	a	DET
cana-2261	44	36	detailed	detailed	ADJ
cana-2261	44	37	explanation	explanation	NOUN
cana-2261	44	38	of	of	ADP
cana-2261	44	39	the	the	DET
cana-2261	44	40	research	research	NOUN
cana-2261	44	41	activity	activity	NOUN
cana-2261	44	42	;	;	PUNCT
cana-2261	44	43	in	in	ADP
cana-2261	44	44	section	section	NOUN
cana-2261	44	45	3	3	NUM
cana-2261	44	46	identifies	identify	VERB
cana-2261	44	47	performance	performance	NOUN
cana-2261	44	48	evaluation	evaluation	NOUN
cana-2261	44	49	of	of	ADP
cana-2261	44	50	the	the	DET
cana-2261	44	51	proposed	propose	VERB
cana-2261	44	52	system	system	NOUN
cana-2261	44	53	.	.	PUNCT
cana-2261	45	1	;	;	PUNCT
cana-2261	45	2	section	section	NOUN
cana-2261	45	3	4	4	NUM
cana-2261	45	4	presents	present	VERB
cana-2261	45	5	the	the	DET
cana-2261	45	6	findings	finding	NOUN
cana-2261	45	7	and	and	CCONJ
cana-2261	45	8	discussion	discussion	NOUN
cana-2261	45	9	of	of	ADP
cana-2261	45	10	the	the	DET
cana-2261	45	11	proposed	propose	VERB
cana-2261	45	12	model	model	NOUN
cana-2261	45	13	,	,	PUNCT
cana-2261	45	14	and	and	CCONJ
cana-2261	45	15	section	section	NOUN
cana-2261	45	16	5	5	NUM
cana-2261	45	17	concludes	conclude	VERB
cana-2261	45	18	with	with	ADP
cana-2261	45	19	a	a	DET
cana-2261	45	20	summary	summary	NOUN
cana-2261	45	21	of	of	ADP
cana-2261	45	22	the	the	DET
cana-2261	45	23	contributions	contribution	NOUN
cana-2261	45	24	to	to	ADP
cana-2261	45	25	the	the	DET
cana-2261	45	26	research	research	NOUN
cana-2261	45	27	and	and	CCONJ
cana-2261	45	28	future	future	ADJ
cana-2261	45	29	extensions	extension	NOUN
cana-2261	45	30	.	.	PUNCT
cana-2261	46	1	3	3	X
cana-2261	46	2	.	.	X
cana-2261	46	3	system	system	NOUN
cana-2261	46	4	design	design	NOUN
cana-2261	46	5	disease	disease	NOUN
cana-2261	46	6	overview	overview	NOUN
cana-2261	46	7	it	it	PRON
cana-2261	46	8	has	have	AUX
cana-2261	46	9	been	be	AUX
cana-2261	46	10	noted	note	VERB
cana-2261	46	11	that	that	SCONJ
cana-2261	46	12	over	over	ADP
cana-2261	46	13	85	85	NUM
cana-2261	46	14	%	%	NOUN
cana-2261	46	15	of	of	ADP
cana-2261	46	16	strokes	stroke	NOUN
cana-2261	46	17	are	be	AUX
cana-2261	46	18	classified	classify	VERB
cana-2261	46	19	as	as	ADP
cana-2261	46	20	ischaemic	ischaemic	ADJ
cana-2261	46	21	strokes	stroke	NOUN
cana-2261	46	22	,	,	PUNCT
cana-2261	46	23	which	which	PRON
cana-2261	46	24	are	be	AUX
cana-2261	46	25	a	a	DET
cana-2261	46	26	common	common	ADJ
cana-2261	46	27	type	type	NOUN
cana-2261	46	28	of	of	ADP
cana-2261	46	29	stroke	stroke	NOUN
cana-2261	46	30	.	.	PUNCT
cana-2261	47	1	it	it	PRON
cana-2261	47	2	is	be	AUX
cana-2261	47	3	caused	cause	VERB
cana-2261	47	4	by	by	ADP
cana-2261	47	5	a	a	DET
cana-2261	47	6	clot	clot	NOUN
cana-2261	47	7	or	or	CCONJ
cana-2261	47	8	other	other	ADJ
cana-2261	47	9	obstruction	obstruction	NOUN
cana-2261	47	10	in	in	ADP
cana-2261	47	11	a	a	DET
cana-2261	47	12	brain	brain	NOUN
cana-2261	47	13	blood	blood	NOUN
cana-2261	47	14	artery	artery	NOUN
cana-2261	47	15	.	.	PUNCT
cana-2261	48	1	thrombotic	thrombotic	ADJ
cana-2261	48	2	stroke	stroke	NOUN
cana-2261	48	3	and	and	CCONJ
cana-2261	48	4	embolic	embolic	ADJ
cana-2261	48	5	stroke	stroke	NOUN
cana-2261	48	6	are	be	AUX
cana-2261	48	7	two	two	NUM
cana-2261	48	8	more	more	ADJ
cana-2261	48	9	subtypes	subtype	NOUN
cana-2261	48	10	of	of	ADP
cana-2261	48	11	ischaemic	ischaemic	ADJ
cana-2261	48	12	stroke	stroke	NOUN
cana-2261	48	13	.	.	PUNCT
cana-2261	49	1	any	any	DET
cana-2261	49	2	area	area	NOUN
cana-2261	49	3	of	of	ADP
cana-2261	49	4	the	the	DET
cana-2261	49	5	body	body	NOUN
cana-2261	49	6	can	can	AUX
cana-2261	49	7	develop	develop	VERB
cana-2261	49	8	a	a	DET
cana-2261	49	9	clot	clot	NOUN
cana-2261	49	10	,	,	PUNCT
cana-2261	49	11	which	which	PRON
cana-2261	49	12	is	be	AUX
cana-2261	49	13	what	what	PRON
cana-2261	49	14	defines	define	VERB
cana-2261	49	15	an	an	DET
cana-2261	49	16	embolic	embolic	ADJ
cana-2261	49	17	stroke	stroke	NOUN
cana-2261	49	18	and	and	CCONJ
cana-2261	49	19	prevents	prevent	VERB
cana-2261	49	20	blood	blood	NOUN
cana-2261	49	21	from	from	ADP
cana-2261	49	22	flowing	flow	VERB
cana-2261	49	23	to	to	ADP
cana-2261	49	24	the	the	DET
cana-2261	49	25	brain	brain	NOUN
cana-2261	49	26	.	.	PUNCT
cana-2261	50	1	on	on	ADP
cana-2261	50	2	the	the	DET
cana-2261	50	3	other	other	ADJ
cana-2261	50	4	hand	hand	NOUN
cana-2261	50	5	,	,	PUNCT
cana-2261	50	6	a	a	DET
cana-2261	50	7	thrombotic	thrombotic	ADJ
cana-2261	50	8	stroke	stroke	NOUN
cana-2261	50	9	is	be	AUX
cana-2261	50	10	characterised	characterise	VERB
cana-2261	50	11	by	by	ADP
cana-2261	50	12	a	a	DET
cana-2261	50	13	clot	clot	NOUN
cana-2261	50	14	that	that	PRON
cana-2261	50	15	restricts	restrict	VERB
cana-2261	50	16	blood	blood	NOUN
cana-2261	50	17	flow	flow	NOUN
cana-2261	50	18	in	in	ADP
cana-2261	50	19	an	an	DET
cana-2261	50	20	artery	artery	NOUN
cana-2261	50	21	.	.	PUNCT
cana-2261	51	1	it	it	PRON
cana-2261	51	2	also	also	ADV
cana-2261	51	3	has	have	VERB
cana-2261	51	4	an	an	DET
cana-2261	51	5	impact	impact	NOUN
cana-2261	51	6	on	on	ADP
cana-2261	51	7	the	the	DET
cana-2261	51	8	brain	brain	NOUN
cana-2261	51	9	's	's	PART
cana-2261	51	10	regular	regular	ADJ
cana-2261	51	11	blood	blood	NOUN
cana-2261	51	12	supply	supply	NOUN
cana-2261	51	13	.	.	PUNCT
cana-2261	52	1	haemorrhagic	haemorrhagic	ADJ
cana-2261	52	2	stroke	stroke	NOUN
cana-2261	52	3	is	be	AUX
cana-2261	52	4	caused	cause	VERB
cana-2261	52	5	by	by	ADP
cana-2261	52	6	weak	weak	ADJ
cana-2261	52	7	blood	blood	NOUN
cana-2261	52	8	vessels	vessel	NOUN
cana-2261	52	9	.	.	PUNCT
cana-2261	53	1	this	this	DET
cana-2261	53	2	kind	kind	NOUN
cana-2261	53	3	of	of	ADP
cana-2261	53	4	stroke	stroke	NOUN
cana-2261	53	5	,	,	PUNCT
cana-2261	53	6	which	which	PRON
cana-2261	53	7	occurs	occur	VERB
cana-2261	53	8	in	in	ADP
cana-2261	53	9	10	10	NUM
cana-2261	53	10	-	-	SYM
cana-2261	53	11	15	15	NUM
cana-2261	53	12	%	%	NOUN
cana-2261	53	13	of	of	ADP
cana-2261	53	14	cases	case	NOUN
cana-2261	53	15	,	,	PUNCT
cana-2261	53	16	can	can	AUX
cana-2261	53	17	be	be	AUX
cana-2261	53	18	caused	cause	VERB
cana-2261	53	19	by	by	ADP
cana-2261	53	20	blood	blood	NOUN
cana-2261	53	21	vessel	vessel	NOUN
cana-2261	53	22	rupture	rupture	NOUN
cana-2261	53	23	,	,	PUNCT
cana-2261	53	24	but	but	CCONJ
cana-2261	53	25	it	it	PRON
cana-2261	53	26	poses	pose	VERB
cana-2261	53	27	a	a	DET
cana-2261	53	28	greater	great	ADJ
cana-2261	53	29	hazard	hazard	NOUN
cana-2261	53	30	to	to	ADP
cana-2261	53	31	human	human	ADJ
cana-2261	53	32	life	life	NOUN
cana-2261	53	33	than	than	ADP
cana-2261	53	34	ischaemic	ischaemic	ADJ
cana-2261	53	35	stroke	stroke	NOUN
cana-2261	54	1	[	[	X
cana-2261	54	2	7	7	NUM
cana-2261	54	3	]	]	PUNCT
cana-2261	54	4	.	.	PUNCT
cana-2261	55	1	subarachnoid	subarachnoid	VERB
cana-2261	55	2	haemorrhage	haemorrhage	NOUN
cana-2261	55	3	and	and	CCONJ
cana-2261	55	4	intracerebral	intracerebral	ADJ
cana-2261	55	5	bleeding	bleeding	NOUN
cana-2261	55	6	are	be	AUX
cana-2261	55	7	the	the	DET
cana-2261	55	8	two	two	NUM
cana-2261	55	9	subclasses	subclass	NOUN
cana-2261	55	10	of	of	ADP
cana-2261	55	11	hemorrhagic	hemorrhagic	NOUN
cana-2261	55	12	stroke	stroke	NOUN
cana-2261	55	13	.	.	PUNCT
cana-2261	56	1	mini	mini	NOUN
cana-2261	56	2	-	-	NOUN
cana-2261	56	3	stroke	stroke	NOUN
cana-2261	56	4	is	be	AUX
cana-2261	56	5	another	another	DET
cana-2261	56	6	term	term	NOUN
cana-2261	56	7	for	for	ADP
cana-2261	56	8	transient	transient	ADJ
cana-2261	56	9	ischaemic	ischaemic	ADJ
cana-2261	56	10	stroke	stroke	NOUN
cana-2261	56	11	.	.	PUNCT
cana-2261	57	1	this	this	DET
cana-2261	57	2	stroke	stroke	NOUN
cana-2261	57	3	is	be	AUX
cana-2261	57	4	caused	cause	VERB
cana-2261	57	5	by	by	ADP
cana-2261	57	6	a	a	DET
cana-2261	57	7	transient	transient	ADJ
cana-2261	57	8	obstruction	obstruction	NOUN
cana-2261	57	9	and	and	CCONJ
cana-2261	57	10	clot	clot	NOUN
cana-2261	57	11	.	.	PUNCT
cana-2261	58	1	consequently	consequently	ADV
cana-2261	58	2	,	,	PUNCT
cana-2261	58	3	there	there	PRON
cana-2261	58	4	may	may	AUX
cana-2261	58	5	be	be	AUX
cana-2261	58	6	transient	transient	ADJ
cana-2261	58	7	damage	damage	NOUN
cana-2261	58	8	to	to	ADP
cana-2261	58	9	brain	brain	NOUN
cana-2261	58	10	tissue	tissue	NOUN
cana-2261	58	11	[	[	X
cana-2261	58	12	19	19	NUM
cana-2261	58	13	]	]	PUNCT
cana-2261	58	14	.	.	PUNCT
cana-2261	59	1	it	it	PRON
cana-2261	59	2	might	might	AUX
cana-2261	59	3	also	also	ADV
cana-2261	59	4	be	be	AUX
cana-2261	59	5	interpreted	interpret	VERB
cana-2261	59	6	as	as	ADP
cana-2261	59	7	a	a	DET
cana-2261	59	8	warning	warning	NOUN
cana-2261	59	9	sign	sign	NOUN
cana-2261	59	10	for	for	ADP
cana-2261	59	11	future	future	ADJ
cana-2261	59	12	strokes	stroke	NOUN
cana-2261	59	13	.	.	PUNCT
cana-2261	60	1	in	in	ADP
cana-2261	60	2	summary	summary	NOUN
cana-2261	60	3	,	,	PUNCT
cana-2261	60	4	stroke	stroke	NOUN
cana-2261	60	5	is	be	AUX
cana-2261	60	6	one	one	NUM
cana-2261	60	7	of	of	ADP
cana-2261	60	8	the	the	DET
cana-2261	60	9	worst	bad	ADJ
cana-2261	60	10	illnesses	illness	NOUN
cana-2261	60	11	.	.	PUNCT
cana-2261	61	1	furthermore	furthermore	ADV
cana-2261	61	2	,	,	PUNCT
cana-2261	61	3	since	since	SCONJ
cana-2261	61	4	most	most	ADJ
cana-2261	61	5	doctors	doctor	NOUN
cana-2261	61	6	treat	treat	VERB
cana-2261	61	7	stroke	stroke	NOUN
cana-2261	61	8	patients	patient	NOUN
cana-2261	61	9	using	use	VERB
cana-2261	61	10	conventional	conventional	ADJ
cana-2261	61	11	methods	method	NOUN
cana-2261	61	12	,	,	PUNCT
cana-2261	61	13	diagnosing	diagnose	VERB
cana-2261	61	14	and	and	CCONJ
cana-2261	61	15	treating	treat	VERB
cana-2261	61	16	stroke	stroke	NOUN
cana-2261	61	17	is	be	AUX
cana-2261	61	18	a	a	DET
cana-2261	61	19	difficult	difficult	ADJ
cana-2261	61	20	undertaking	undertaking	NOUN
cana-2261	61	21	.	.	PUNCT
cana-2261	62	1	communications	communication	NOUN
cana-2261	62	2	on	on	ADP
cana-2261	62	3	applied	apply	VERB
cana-2261	62	4	nonlinear	nonlinear	ADJ
cana-2261	62	5	analysis	analysis	NOUN
cana-2261	62	6	issn	issn	NOUN
cana-2261	62	7	:	:	PUNCT
cana-2261	62	8	1074	1074	NUM
cana-2261	62	9	-	-	PUNCT
cana-2261	62	10	133x	133x	NUM
cana-2261	62	11	vol	vol	NOUN
cana-2261	62	12	32	32	NUM
cana-2261	62	13	no	no	NOUN
cana-2261	62	14	.	.	PUNCT
cana-2261	63	1	2s	2s	NUM
cana-2261	63	2	(	(	PUNCT
cana-2261	63	3	2025	2025	NUM
cana-2261	63	4	)	)	PUNCT
cana-2261	63	5	159	159	NUM
cana-2261	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	63	7	the	the	DET
cana-2261	63	8	lack	lack	NOUN
cana-2261	63	9	of	of	ADP
cana-2261	63	10	up	up	ADP
cana-2261	63	11	-	-	PUNCT
cana-2261	63	12	to	to	ADP
cana-2261	63	13	-	-	PUNCT
cana-2261	63	14	date	date	NOUN
cana-2261	63	15	diagnostic	diagnostic	ADJ
cana-2261	63	16	and	and	CCONJ
cana-2261	63	17	monitoring	monitor	VERB
cana-2261	63	18	techniques	technique	NOUN
cana-2261	63	19	that	that	PRON
cana-2261	63	20	can	can	AUX
cana-2261	63	21	more	more	ADV
cana-2261	63	22	accurately	accurately	ADV
cana-2261	63	23	anticipate	anticipate	VERB
cana-2261	63	24	stroke	stroke	NOUN
cana-2261	63	25	patients	patient	NOUN
cana-2261	63	26	makes	make	VERB
cana-2261	63	27	it	it	PRON
cana-2261	63	28	difficult	difficult	ADJ
cana-2261	63	29	to	to	PART
cana-2261	63	30	estimate	estimate	VERB
cana-2261	63	31	the	the	DET
cana-2261	63	32	risk	risk	NOUN
cana-2261	63	33	of	of	ADP
cana-2261	63	34	stroke	stroke	NOUN
cana-2261	63	35	as	as	ADV
cana-2261	63	36	well	well	ADV
cana-2261	63	37	.	.	PUNCT
cana-2261	64	1	furthermore	furthermore	ADV
cana-2261	64	2	,	,	PUNCT
cana-2261	64	3	the	the	DET
cana-2261	64	4	initial	initial	ADJ
cana-2261	64	5	treatment	treatment	NOUN
cana-2261	64	6	for	for	ADP
cana-2261	64	7	stroke	stroke	NOUN
cana-2261	64	8	patients	patient	NOUN
cana-2261	64	9	is	be	AUX
cana-2261	64	10	suggested	suggest	VERB
cana-2261	64	11	,	,	PUNCT
cana-2261	64	12	and	and	CCONJ
cana-2261	64	13	the	the	DET
cana-2261	64	14	present	present	ADJ
cana-2261	64	15	state	state	NOUN
cana-2261	64	16	of	of	ADP
cana-2261	64	17	the	the	DET
cana-2261	64	18	patient	patient	NOUN
cana-2261	64	19	is	be	AUX
cana-2261	64	20	ascertained	ascertain	VERB
cana-2261	64	21	based	base	VERB
cana-2261	64	22	on	on	ADP
cana-2261	64	23	their	their	PRON
cana-2261	64	24	current	current	ADJ
cana-2261	64	25	behaviour	behaviour	NOUN
cana-2261	64	26	.	.	PUNCT
cana-2261	65	1	the	the	DET
cana-2261	65	2	likelihood	likelihood	NOUN
cana-2261	65	3	that	that	SCONJ
cana-2261	65	4	stroke	stroke	NOUN
cana-2261	65	5	victims	victim	NOUN
cana-2261	65	6	will	will	AUX
cana-2261	65	7	recover	recover	VERB
cana-2261	65	8	can	can	AUX
cana-2261	65	9	also	also	ADV
cana-2261	65	10	be	be	AUX
cana-2261	65	11	improved	improve	VERB
cana-2261	65	12	by	by	ADP
cana-2261	65	13	the	the	DET
cana-2261	65	14	availability	availability	NOUN
cana-2261	65	15	of	of	ADP
cana-2261	65	16	such	such	ADJ
cana-2261	65	17	technologies	technology	NOUN
cana-2261	65	18	.	.	PUNCT
cana-2261	66	1	however	however	ADV
cana-2261	66	2	,	,	PUNCT
cana-2261	66	3	using	use	VERB
cana-2261	66	4	a	a	DET
cana-2261	66	5	tool	tool	NOUN
cana-2261	66	6	with	with	ADP
cana-2261	66	7	a	a	DET
cana-2261	66	8	high	high	ADJ
cana-2261	66	9	accuracy	accuracy	NOUN
cana-2261	66	10	rate	rate	NOUN
cana-2261	66	11	is	be	AUX
cana-2261	66	12	a	a	DET
cana-2261	66	13	difficult	difficult	ADJ
cana-2261	66	14	undertaking	undertaking	NOUN
cana-2261	66	15	,	,	PUNCT
cana-2261	66	16	even	even	ADV
cana-2261	66	17	though	though	SCONJ
cana-2261	66	18	it	it	PRON
cana-2261	66	19	can	can	AUX
cana-2261	66	20	help	help	VERB
cana-2261	66	21	stroke	stroke	NOUN
cana-2261	66	22	victims	victim	NOUN
cana-2261	66	23	receive	receive	VERB
cana-2261	66	24	therapy	therapy	NOUN
cana-2261	66	25	.	.	PUNCT
cana-2261	67	1	proposed	propose	VERB
cana-2261	67	2	framework	framework	NOUN
cana-2261	67	3	the	the	DET
cana-2261	67	4	fundamental	fundamental	ADJ
cana-2261	67	5	wavelet	wavelet	NOUN
cana-2261	67	6	can	can	AUX
cana-2261	67	7	be	be	AUX
cana-2261	67	8	represented	represent	VERB
cana-2261	67	9	as	as	ADP
cana-2261	67	10	ψ	ψ	PROPN
cana-2261	67	11	(	(	PUNCT
cana-2261	67	12	t	t	PROPN
cana-2261	67	13	)	)	PUNCT
cana-2261	67	14	,	,	PUNCT
cana-2261	67	15	a	a	DET
cana-2261	67	16	temporal	temporal	ADJ
cana-2261	67	17	characteristic	characteristic	NOUN
cana-2261	67	18	that	that	PRON
cana-2261	67	19	can	can	AUX
cana-2261	67	20	be	be	AUX
cana-2261	67	21	further	far	ADV
cana-2261	67	22	scaled	scale	VERB
cana-2261	67	23	to	to	ADP
cana-2261	67	24	various	various	ADJ
cana-2261	67	25	translations	translation	NOUN
cana-2261	67	26	.	.	PUNCT
cana-2261	68	1	it	it	PRON
cana-2261	68	2	is	be	AUX
cana-2261	68	3	possible	possible	ADJ
cana-2261	68	4	to	to	PART
cana-2261	68	5	scale	scale	VERB
cana-2261	68	6	the	the	DET
cana-2261	68	7	two	two	NUM
cana-2261	68	8	-	-	PUNCT
cana-2261	68	9	dimensional	dimensional	ADJ
cana-2261	68	10	triadic	triadic	ADJ
cana-2261	68	11	wavelet	wavelet	NOUN
cana-2261	68	12	into	into	ADP
cana-2261	68	13	four	four	NUM
cana-2261	68	14	pairs	pair	NOUN
cana-2261	68	15	of	of	ADP
cana-2261	68	16	mother	mother	NOUN
cana-2261	68	17	wavelets	wavelet	NOUN
cana-2261	68	18	using	use	VERB
cana-2261	68	19	the	the	DET
cana-2261	68	20	bwt	bwt	PROPN
cana-2261	68	21	method	method	NOUN
cana-2261	68	22	.	.	PUNCT
cana-2261	69	1	by	by	ADP
cana-2261	69	2	comparing	compare	VERB
cana-2261	69	3	the	the	DET
cana-2261	69	4	intensity	intensity	NOUN
cana-2261	69	5	and	and	CCONJ
cana-2261	69	6	textural	textural	ADJ
cana-2261	69	7	features	feature	NOUN
cana-2261	69	8	from	from	ADP
cana-2261	69	9	the	the	DET
cana-2261	69	10	spatial	spatial	ADJ
cana-2261	69	11	grey	grey	ADJ
cana-2261	69	12	level	level	NOUN
cana-2261	69	13	dependence	dependence	NOUN
cana-2261	69	14	matrix	matrix	NOUN
cana-2261	69	15	,	,	PUNCT
cana-2261	69	16	features	feature	NOUN
cana-2261	69	17	are	be	AUX
cana-2261	69	18	extracted	extract	VERB
cana-2261	69	19	based	base	VERB
cana-2261	69	20	on	on	ADP
cana-2261	69	21	the	the	DET
cana-2261	69	22	search	search	NOUN
cana-2261	69	23	for	for	ADP
cana-2261	69	24	the	the	DET
cana-2261	69	25	corresponding	correspond	VERB
cana-2261	69	26	cells	cell	NOUN
cana-2261	69	27	or	or	CCONJ
cana-2261	69	28	tissues	tissue	NOUN
cana-2261	69	29	that	that	PRON
cana-2261	69	30	are	be	AUX
cana-2261	69	31	affected	affect	VERB
cana-2261	69	32	by	by	ADP
cana-2261	69	33	ischaemic	ischaemic	ADJ
cana-2261	69	34	stroke	stroke	NOUN
cana-2261	69	35	cells	cell	NOUN
cana-2261	69	36	.	.	PUNCT
cana-2261	70	1	k	k	X
cana-2261	70	2	-	-	PUNCT
cana-2261	70	3	means	mean	VERB
cana-2261	70	4	clustering	clustering	NOUN
cana-2261	70	5	is	be	AUX
cana-2261	70	6	used	use	VERB
cana-2261	70	7	to	to	PART
cana-2261	70	8	put	put	VERB
cana-2261	70	9	comparable	comparable	ADJ
cana-2261	70	10	pixels	pixel	NOUN
cana-2261	70	11	or	or	CCONJ
cana-2261	70	12	voxels	voxel	NOUN
cana-2261	70	13	together	together	ADV
cana-2261	70	14	based	base	VERB
cana-2261	70	15	on	on	ADP
cana-2261	70	16	their	their	PRON
cana-2261	70	17	feature	feature	NOUN
cana-2261	70	18	values	value	NOUN
cana-2261	70	19	once	once	SCONJ
cana-2261	70	20	the	the	DET
cana-2261	70	21	features	feature	NOUN
cana-2261	70	22	have	have	AUX
cana-2261	70	23	been	be	AUX
cana-2261	70	24	extracted	extract	VERB
cana-2261	70	25	.	.	PUNCT
cana-2261	71	1	using	use	VERB
cana-2261	71	2	an	an	DET
cana-2261	71	3	iterative	iterative	NOUN
cana-2261	71	4	process	process	NOUN
cana-2261	71	5	,	,	PUNCT
cana-2261	71	6	k	k	X
cana-2261	71	7	-	-	PUNCT
cana-2261	71	8	means	mean	VERB
cana-2261	71	9	clustering	clustering	NOUN
cana-2261	71	10	allocates	allocate	NOUN
cana-2261	71	11	each	each	DET
cana-2261	71	12	pixel	pixel	NOUN
cana-2261	71	13	or	or	CCONJ
cana-2261	71	14	voxel	voxel	PROPN
cana-2261	71	15	to	to	ADP
cana-2261	71	16	the	the	DET
cana-2261	71	17	cluster	cluster	NOUN
cana-2261	71	18	whose	whose	DET
cana-2261	71	19	centroid	centroid	NOUN
cana-2261	71	20	is	be	AUX
cana-2261	71	21	closest	close	ADJ
cana-2261	71	22	to	to	ADP
cana-2261	71	23	it	it	PRON
cana-2261	71	24	and	and	CCONJ
cana-2261	71	25	represents	represent	VERB
cana-2261	71	26	the	the	DET
cana-2261	71	27	average	average	NOUN
cana-2261	71	28	of	of	ADP
cana-2261	71	29	the	the	DET
cana-2261	71	30	cluster	cluster	NOUN
cana-2261	71	31	's	's	PART
cana-2261	71	32	feature	feature	NOUN
cana-2261	71	33	values	value	NOUN
cana-2261	71	34	.	.	PUNCT
cana-2261	72	1	the	the	DET
cana-2261	72	2	aforementioned	aforementioned	ADJ
cana-2261	72	3	method	method	NOUN
cana-2261	72	4	searches	search	NOUN
cana-2261	72	5	for	for	ADP
cana-2261	72	6	characteristics	characteristic	NOUN
cana-2261	72	7	that	that	PRON
cana-2261	72	8	adhere	adhere	VERB
cana-2261	72	9	to	to	ADP
cana-2261	72	10	the	the	DET
cana-2261	72	11	standard	standard	ADJ
cana-2261	72	12	metrics	metric	NOUN
cana-2261	72	13	seen	see	VERB
cana-2261	72	14	on	on	ADP
cana-2261	72	15	medical	medical	ADJ
cana-2261	72	16	photographs	photograph	NOUN
cana-2261	72	17	.	.	PUNCT
cana-2261	73	1	eight	eight	NUM
cana-2261	73	2	criteria	criterion	NOUN
cana-2261	73	3	—	—	PUNCT
cana-2261	73	4	described	describe	VERB
cana-2261	73	5	in	in	ADP
cana-2261	73	6	detail	detail	NOUN
cana-2261	73	7	in	in	ADP
cana-2261	73	8	the	the	DET
cana-2261	73	9	preceding	precede	VERB
cana-2261	73	10	chapter	chapter	NOUN
cana-2261	73	11	—	—	PUNCT
cana-2261	73	12	are	be	AUX
cana-2261	73	13	used	use	VERB
cana-2261	73	14	to	to	PART
cana-2261	73	15	extract	extract	VERB
cana-2261	73	16	the	the	DET
cana-2261	73	17	characteristics	characteristic	NOUN
cana-2261	73	18	.	.	PUNCT
cana-2261	74	1	to	to	PART
cana-2261	74	2	improve	improve	VERB
cana-2261	74	3	feature	feature	NOUN
cana-2261	74	4	extraction	extraction	NOUN
cana-2261	74	5	,	,	PUNCT
cana-2261	74	6	the	the	DET
cana-2261	74	7	suggested	suggest	VERB
cana-2261	74	8	model	model	NOUN
cana-2261	74	9	also	also	ADV
cana-2261	74	10	adds	add	VERB
cana-2261	74	11	colour	colour	NOUN
cana-2261	74	12	properties	property	NOUN
cana-2261	74	13	.	.	PUNCT
cana-2261	75	1	the	the	DET
cana-2261	75	2	functions	function	NOUN
cana-2261	75	3	mean	mean	VERB
cana-2261	75	4	,	,	PUNCT
cana-2261	75	5	variance	variance	NOUN
cana-2261	75	6	,	,	PUNCT
cana-2261	75	7	skewness	skewness	NOUN
cana-2261	75	8	,	,	PUNCT
cana-2261	75	9	kurtosis	kurtosis	NOUN
cana-2261	75	10	,	,	PUNCT
cana-2261	75	11	and	and	CCONJ
cana-2261	75	12	entropy	entropy	NOUN
cana-2261	75	13	are	be	AUX
cana-2261	75	14	commonly	commonly	ADV
cana-2261	75	15	used	use	VERB
cana-2261	75	16	to	to	PART
cana-2261	75	17	describe	describe	VERB
cana-2261	75	18	the	the	DET
cana-2261	75	19	functions	function	NOUN
cana-2261	75	20	needed	need	VERB
cana-2261	75	21	to	to	PART
cana-2261	75	22	extract	extract	VERB
cana-2261	75	23	the	the	DET
cana-2261	75	24	color	color	NOUN
cana-2261	75	25	-	-	PUNCT
cana-2261	75	26	based	base	VERB
cana-2261	75	27	properties	property	NOUN
cana-2261	76	1	[	[	X
cana-2261	76	2	9	9	NUM
cana-2261	76	3	]	]	PUNCT
cana-2261	76	4	.	.	PUNCT
cana-2261	77	1	four	four	NUM
cana-2261	77	2	hidden	hide	VERB
cana-2261	77	3	neurone	neurone	NOUN
cana-2261	77	4	layers	layer	NOUN
cana-2261	77	5	and	and	CCONJ
cana-2261	77	6	one	one	NUM
cana-2261	77	7	output	output	NOUN
cana-2261	77	8	layer	layer	NOUN
cana-2261	77	9	are	be	AUX
cana-2261	77	10	included	include	VERB
cana-2261	77	11	in	in	ADP
cana-2261	77	12	the	the	DET
cana-2261	77	13	deep	deep	ADJ
cana-2261	77	14	learning	learning	NOUN
cana-2261	77	15	architecture	architecture	NOUN
cana-2261	77	16	to	to	PART
cana-2261	77	17	validate	validate	VERB
cana-2261	77	18	all	all	PRON
cana-2261	77	19	of	of	ADP
cana-2261	77	20	the	the	DET
cana-2261	77	21	network	network	NOUN
cana-2261	77	22	's	's	PART
cana-2261	77	23	operations	operation	NOUN
cana-2261	77	24	.	.	PUNCT
cana-2261	78	1	highlighting	highlight	VERB
cana-2261	78	2	the	the	DET
cana-2261	78	3	features	feature	NOUN
cana-2261	78	4	necessary	necessary	ADJ
cana-2261	78	5	for	for	SCONJ
cana-2261	78	6	segmentation	segmentation	NOUN
cana-2261	78	7	and	and	CCONJ
cana-2261	78	8	classification	classification	NOUN
cana-2261	78	9	procedures	procedure	NOUN
cana-2261	78	10	comes	come	VERB
cana-2261	78	11	next	next	ADV
cana-2261	78	12	,	,	PUNCT
cana-2261	78	13	following	follow	VERB
cana-2261	78	14	feature	feature	NOUN
cana-2261	78	15	selection	selection	NOUN
cana-2261	78	16	based	base	VERB
cana-2261	78	17	on	on	ADP
cana-2261	78	18	spatial	spatial	ADJ
cana-2261	78	19	properties	property	NOUN
cana-2261	78	20	and	and	CCONJ
cana-2261	78	21	colour	colour	NOUN
cana-2261	78	22	components	component	NOUN
cana-2261	78	23	.	.	PUNCT
cana-2261	79	1	since	since	SCONJ
cana-2261	79	2	the	the	DET
cana-2261	79	3	characteristics	characteristic	NOUN
cana-2261	79	4	chosen	choose	VERB
cana-2261	79	5	might	might	AUX
cana-2261	79	6	not	not	PART
cana-2261	79	7	directly	directly	ADV
cana-2261	79	8	improve	improve	VERB
cana-2261	79	9	the	the	DET
cana-2261	79	10	classification	classification	NOUN
cana-2261	79	11	,	,	PUNCT
cana-2261	79	12	the	the	DET
cana-2261	79	13	suggested	suggest	VERB
cana-2261	79	14	model	model	NOUN
cana-2261	79	15	has	have	AUX
cana-2261	79	16	used	use	VERB
cana-2261	79	17	a	a	DET
cana-2261	79	18	genetic	genetic	ADJ
cana-2261	79	19	algorithm	algorithm	NOUN
cana-2261	79	20	for	for	ADP
cana-2261	79	21	feature	feature	NOUN
cana-2261	79	22	selection	selection	NOUN
cana-2261	79	23	.	.	PUNCT
cana-2261	80	1	reducing	reduce	VERB
cana-2261	80	2	the	the	DET
cana-2261	80	3	list	list	NOUN
cana-2261	80	4	of	of	ADP
cana-2261	80	5	chosen	choose	VERB
cana-2261	80	6	features	feature	NOUN
cana-2261	80	7	to	to	ADP
cana-2261	80	8	a	a	DET
cana-2261	80	9	primary	primary	ADJ
cana-2261	80	10	list	list	NOUN
cana-2261	80	11	is	be	AUX
cana-2261	80	12	necessary	necessary	ADJ
cana-2261	80	13	to	to	PART
cana-2261	80	14	increase	increase	VERB
cana-2261	80	15	the	the	DET
cana-2261	80	16	classification	classification	NOUN
cana-2261	80	17	accuracy	accuracy	NOUN
cana-2261	80	18	.	.	PUNCT
cana-2261	81	1	the	the	DET
cana-2261	81	2	new	new	ADJ
cana-2261	81	3	method	method	NOUN
cana-2261	81	4	,	,	PUNCT
cana-2261	81	5	which	which	PRON
cana-2261	81	6	uses	use	VERB
cana-2261	81	7	a	a	DET
cana-2261	81	8	genetic	genetic	ADJ
cana-2261	81	9	algorithm	algorithm	NOUN
cana-2261	81	10	to	to	PART
cana-2261	81	11	optimise	optimise	VERB
cana-2261	81	12	the	the	DET
cana-2261	81	13	list	list	NOUN
cana-2261	81	14	of	of	ADP
cana-2261	81	15	features	feature	NOUN
cana-2261	81	16	,	,	PUNCT
cana-2261	81	17	has	have	AUX
cana-2261	81	18	been	be	AUX
cana-2261	81	19	found	find	VERB
cana-2261	81	20	to	to	PART
cana-2261	81	21	be	be	AUX
cana-2261	81	22	superior	superior	ADJ
cana-2261	81	23	to	to	ADP
cana-2261	81	24	heuristic	heuristic	ADJ
cana-2261	81	25	,	,	PUNCT
cana-2261	81	26	depth	depth	NOUN
cana-2261	81	27	first	first	ADV
cana-2261	81	28	,	,	PUNCT
cana-2261	81	29	breadth	breadth	NOUN
cana-2261	81	30	first	first	ADV
cana-2261	81	31	,	,	PUNCT
cana-2261	81	32	and	and	CCONJ
cana-2261	81	33	linear	linear	NOUN
cana-2261	81	34	programming	programming	NOUN
cana-2261	81	35	techniques	technique	NOUN
cana-2261	81	36	.	.	PUNCT
cana-2261	82	1	asymmetrical	asymmetrical	ADJ
cana-2261	82	2	characteristics	characteristic	NOUN
cana-2261	82	3	,	,	PUNCT
cana-2261	82	4	boundaries	boundary	NOUN
cana-2261	82	5	,	,	PUNCT
cana-2261	82	6	colours	colour	NOUN
cana-2261	82	7	,	,	PUNCT
cana-2261	82	8	diameters	diameter	NOUN
cana-2261	82	9	,	,	PUNCT
cana-2261	82	10	contrast	contrast	NOUN
cana-2261	82	11	,	,	PUNCT
cana-2261	82	12	correlation	correlation	NOUN
cana-2261	82	13	,	,	PUNCT
cana-2261	82	14	energy	energy	NOUN
cana-2261	82	15	,	,	PUNCT
cana-2261	82	16	homogeneous	homogeneous	ADJ
cana-2261	82	17	intensities	intensity	NOUN
cana-2261	82	18	,	,	PUNCT
cana-2261	82	19	mean	mean	INTJ
cana-2261	82	20	,	,	PUNCT
cana-2261	82	21	variance	variance	NOUN
cana-2261	82	22	,	,	PUNCT
cana-2261	82	23	standard	standard	ADJ
cana-2261	82	24	deviation	deviation	NOUN
cana-2261	82	25	,	,	PUNCT
cana-2261	82	26	skewness	skewness	NOUN
cana-2261	82	27	,	,	PUNCT
cana-2261	82	28	kurtosis	kurtosis	NOUN
cana-2261	82	29	,	,	PUNCT
cana-2261	82	30	and	and	CCONJ
cana-2261	82	31	entropy	entropy	NOUN
cana-2261	82	32	attributes	attribute	NOUN
cana-2261	82	33	are	be	AUX
cana-2261	82	34	among	among	ADP
cana-2261	82	35	the	the	DET
cana-2261	82	36	general	general	ADJ
cana-2261	82	37	aspects	aspect	NOUN
cana-2261	82	38	.	.	PUNCT
cana-2261	83	1	the	the	DET
cana-2261	83	2	genetic	genetic	ADJ
cana-2261	83	3	algorithm	algorithm	NOUN
cana-2261	83	4	optimises	optimise	VERB
cana-2261	83	5	the	the	DET
cana-2261	83	6	final	final	ADJ
cana-2261	83	7	list	list	NOUN
cana-2261	83	8	of	of	ADP
cana-2261	83	9	features	feature	NOUN
cana-2261	83	10	needed	need	VERB
cana-2261	83	11	for	for	ADP
cana-2261	83	12	accurate	accurate	ADJ
cana-2261	83	13	classification	classification	NOUN
cana-2261	83	14	results	result	NOUN
cana-2261	83	15	out	out	ADP
cana-2261	83	16	of	of	ADP
cana-2261	83	17	all	all	DET
cana-2261	83	18	the	the	DET
cana-2261	83	19	features	feature	NOUN
cana-2261	83	20	.	.	PUNCT
cana-2261	84	1	[	[	X
cana-2261	84	2	20	20	NUM
cana-2261	84	3	]	]	PUNCT
cana-2261	84	4	.	.	PUNCT
cana-2261	85	1	communications	communication	NOUN
cana-2261	85	2	on	on	ADP
cana-2261	85	3	applied	apply	VERB
cana-2261	85	4	nonlinear	nonlinear	ADJ
cana-2261	85	5	analysis	analysis	NOUN
cana-2261	85	6	issn	issn	NOUN
cana-2261	85	7	:	:	PUNCT
cana-2261	85	8	1074	1074	NUM
cana-2261	85	9	-	-	PUNCT
cana-2261	85	10	133x	133x	NUM
cana-2261	85	11	vol	vol	NOUN
cana-2261	85	12	32	32	NUM
cana-2261	85	13	no	no	NOUN
cana-2261	85	14	.	.	PUNCT
cana-2261	86	1	2s	2s	NUM
cana-2261	86	2	(	(	PUNCT
cana-2261	86	3	2025	2025	NUM
cana-2261	86	4	)	)	PUNCT
cana-2261	86	5	160	160	NUM
cana-2261	86	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	86	7	figure	figure	NOUN
cana-2261	86	8	1	1	NUM
cana-2261	86	9	:	:	PUNCT
cana-2261	86	10	proposed	propose	VERB
cana-2261	86	11	framework	framework	NOUN
cana-2261	86	12	genetic	genetic	ADJ
cana-2261	86	13	algorithm	algorithm	NOUN
cana-2261	86	14	classification	classification	NOUN
cana-2261	86	15	is	be	AUX
cana-2261	86	16	a	a	DET
cana-2261	86	17	machine	machine	NOUN
cana-2261	86	18	learning	learn	VERB
cana-2261	86	19	strategy	strategy	NOUN
cana-2261	86	20	that	that	PRON
cana-2261	86	21	optimises	optimise	VERB
cana-2261	86	22	feature	feature	NOUN
cana-2261	86	23	selection	selection	NOUN
cana-2261	86	24	,	,	PUNCT
cana-2261	86	25	feature	feature	NOUN
cana-2261	86	26	extraction	extraction	NOUN
cana-2261	86	27	,	,	PUNCT
cana-2261	86	28	or	or	CCONJ
cana-2261	86	29	model	model	NOUN
cana-2261	86	30	parameter	parameter	NOUN
cana-2261	86	31	tuning	tune	VERB
cana-2261	86	32	for	for	ADP
cana-2261	86	33	classification	classification	NOUN
cana-2261	86	34	tasks	task	NOUN
cana-2261	86	35	by	by	ADP
cana-2261	86	36	utilising	utilise	VERB
cana-2261	86	37	evolutionary	evolutionary	ADJ
cana-2261	86	38	computation	computation	NOUN
cana-2261	86	39	approaches	approach	NOUN
cana-2261	86	40	,	,	PUNCT
cana-2261	86	41	namely	namely	ADV
cana-2261	86	42	genetic	genetic	ADJ
cana-2261	86	43	algorithms	algorithm	NOUN
cana-2261	86	44	.	.	PUNCT
cana-2261	87	1	numerous	numerous	ADJ
cana-2261	87	2	classification	classification	NOUN
cana-2261	87	3	tasks	task	NOUN
cana-2261	87	4	,	,	PUNCT
cana-2261	87	5	including	include	VERB
cana-2261	87	6	word	word	NOUN
cana-2261	87	7	classification	classification	NOUN
cana-2261	87	8	,	,	PUNCT
cana-2261	87	9	image	image	NOUN
cana-2261	87	10	classification	classification	NOUN
cana-2261	87	11	,	,	PUNCT
cana-2261	87	12	and	and	CCONJ
cana-2261	87	13	other	other	ADJ
cana-2261	87	14	pattern	pattern	NOUN
cana-2261	87	15	recognition	recognition	NOUN
cana-2261	87	16	issues	issue	NOUN
cana-2261	87	17	,	,	PUNCT
cana-2261	87	18	can	can	AUX
cana-2261	87	19	be	be	AUX
cana-2261	87	20	classified	classify	VERB
cana-2261	87	21	using	use	VERB
cana-2261	87	22	evolutionary	evolutionary	ADJ
cana-2261	87	23	algorithms	algorithm	NOUN
cana-2261	87	24	.	.	PUNCT
cana-2261	88	1	it	it	PRON
cana-2261	88	2	provides	provide	VERB
cana-2261	88	3	an	an	DET
cana-2261	88	4	adaptable	adaptable	ADJ
cana-2261	88	5	and	and	CCONJ
cana-2261	88	6	flexible	flexible	ADJ
cana-2261	88	7	method	method	NOUN
cana-2261	88	8	for	for	ADP
cana-2261	88	9	enhancing	enhance	VERB
cana-2261	88	10	the	the	DET
cana-2261	88	11	process	process	NOUN
cana-2261	88	12	of	of	ADP
cana-2261	88	13	feature	feature	NOUN
cana-2261	88	14	selection	selection	NOUN
cana-2261	88	15	or	or	CCONJ
cana-2261	88	16	model	model	NOUN
cana-2261	88	17	parameter	parameter	NOUN
cana-2261	88	18	tweaking	tweaking	NOUN
cana-2261	88	19	,	,	PUNCT
cana-2261	88	20	and	and	CCONJ
cana-2261	88	21	it	it	PRON
cana-2261	88	22	can	can	AUX
cana-2261	88	23	be	be	AUX
cana-2261	88	24	especially	especially	ADV
cana-2261	88	25	helpful	helpful	ADJ
cana-2261	88	26	in	in	ADP
cana-2261	88	27	scenarios	scenario	NOUN
cana-2261	88	28	when	when	SCONJ
cana-2261	88	29	the	the	DET
cana-2261	88	30	search	search	NOUN
cana-2261	88	31	space	space	NOUN
cana-2261	88	32	is	be	AUX
cana-2261	88	33	vast	vast	ADJ
cana-2261	88	34	,	,	PUNCT
cana-2261	88	35	intricate	intricate	ADJ
cana-2261	88	36	,	,	PUNCT
cana-2261	88	37	or	or	CCONJ
cana-2261	88	38	poorly	poorly	ADV
cana-2261	88	39	understood.numerous	understood.numerous	ADJ
cana-2261	88	40	genetic	genetic	ADJ
cana-2261	88	41	algorithms	algorithm	NOUN
cana-2261	88	42	have	have	AUX
cana-2261	88	43	been	be	AUX
cana-2261	88	44	implemented	implement	VERB
cana-2261	88	45	to	to	PART
cana-2261	88	46	enhance	enhance	VERB
cana-2261	88	47	the	the	DET
cana-2261	88	48	segmentation	segmentation	NOUN
cana-2261	88	49	and	and	CCONJ
cana-2261	88	50	classification	classification	NOUN
cana-2261	88	51	procedure	procedure	NOUN
cana-2261	88	52	,	,	PUNCT
cana-2261	88	53	hence	hence	ADV
cana-2261	88	54	decreasing	decrease	VERB
cana-2261	88	55	the	the	DET
cana-2261	88	56	quantity	quantity	NOUN
cana-2261	88	57	of	of	ADP
cana-2261	88	58	features	feature	NOUN
cana-2261	88	59	needed	need	VERB
cana-2261	88	60	to	to	PART
cana-2261	88	61	identify	identify	VERB
cana-2261	88	62	the	the	DET
cana-2261	88	63	appropriate	appropriate	ADJ
cana-2261	88	64	class	class	NOUN
cana-2261	88	65	or	or	CCONJ
cana-2261	88	66	segment	segment	NOUN
cana-2261	88	67	of	of	ADP
cana-2261	88	68	ischaemic	ischaemic	ADJ
cana-2261	88	69	stroke	stroke	NOUN
cana-2261	88	70	.	.	PUNCT
cana-2261	89	1	the	the	DET
cana-2261	89	2	quality	quality	NOUN
cana-2261	89	3	results	result	VERB
cana-2261	89	4	that	that	SCONJ
cana-2261	89	5	the	the	DET
cana-2261	89	6	genetic	genetic	ADJ
cana-2261	89	7	algorithms	algorithms	NOUN
cana-2261	89	8	guarantee	guarantee	NOUN
cana-2261	89	9	are	be	AUX
cana-2261	89	10	the	the	DET
cana-2261	89	11	only	only	ADJ
cana-2261	89	12	factors	factor	NOUN
cana-2261	89	13	that	that	PRON
cana-2261	89	14	affect	affect	VERB
cana-2261	89	15	the	the	DET
cana-2261	89	16	classifiers	classifier	NOUN
cana-2261	89	17	'	'	PART
cana-2261	89	18	performance	performance	NOUN
cana-2261	89	19	.	.	PUNCT
cana-2261	90	1	a	a	DET
cana-2261	90	2	genetic	genetic	ADJ
cana-2261	90	3	algorithm	algorithm	NOUN
cana-2261	90	4	goes	go	VERB
cana-2261	90	5	through	through	ADP
cana-2261	90	6	several	several	ADJ
cana-2261	90	7	stages	stage	NOUN
cana-2261	90	8	,	,	PUNCT
cana-2261	90	9	such	such	ADJ
cana-2261	90	10	as	as	ADP
cana-2261	90	11	determining	determine	VERB
cana-2261	90	12	the	the	DET
cana-2261	90	13	requirements	requirement	NOUN
cana-2261	90	14	for	for	ADP
cana-2261	90	15	iterations	iteration	NOUN
cana-2261	90	16	,	,	PUNCT
cana-2261	90	17	choosing	choose	VERB
cana-2261	90	18	the	the	DET
cana-2261	90	19	operators	operator	NOUN
cana-2261	90	20	and	and	CCONJ
cana-2261	90	21	functions	function	NOUN
cana-2261	90	22	,	,	PUNCT
cana-2261	90	23	encoding	encode	VERB
cana-2261	90	24	the	the	DET
cana-2261	90	25	chromosomes	chromosome	NOUN
cana-2261	90	26	,	,	PUNCT
cana-2261	90	27	assessing	assess	VERB
cana-2261	90	28	the	the	DET
cana-2261	90	29	fitness	fitness	NOUN
cana-2261	90	30	levels	level	NOUN
cana-2261	90	31	of	of	ADP
cana-2261	90	32	each	each	DET
cana-2261	90	33	function	function	NOUN
cana-2261	90	34	,	,	PUNCT
cana-2261	90	35	and	and	CCONJ
cana-2261	90	36	many	many	ADJ
cana-2261	90	37	other	other	ADJ
cana-2261	90	38	crucial	crucial	ADJ
cana-2261	90	39	parts	part	NOUN
cana-2261	90	40	that	that	PRON
cana-2261	90	41	support	support	VERB
cana-2261	90	42	the	the	DET
cana-2261	90	43	classification	classification	NOUN
cana-2261	90	44	process	process	NOUN
cana-2261	90	45	.	.	PUNCT
cana-2261	91	1	the	the	DET
cana-2261	91	2	structure	structure	NOUN
cana-2261	91	3	of	of	ADP
cana-2261	91	4	chromosomes	chromosome	NOUN
cana-2261	91	5	is	be	AUX
cana-2261	91	6	represented	represent	VERB
cana-2261	91	7	by	by	ADP
cana-2261	91	8	the	the	DET
cana-2261	91	9	bit	bit	NOUN
cana-2261	91	10	string	string	NOUN
cana-2261	91	11	when	when	SCONJ
cana-2261	91	12	the	the	DET
cana-2261	91	13	genetic	genetic	ADJ
cana-2261	91	14	algorithm	algorithm	NOUN
cana-2261	91	15	is	be	AUX
cana-2261	91	16	applied	apply	VERB
cana-2261	91	17	in	in	ADP
cana-2261	91	18	a	a	DET
cana-2261	91	19	binary	binary	NOUN
cana-2261	91	20	search.applying	search.applye	VERB
cana-2261	91	21	the	the	DET
cana-2261	91	22	fitness	fitness	NOUN
cana-2261	91	23	function	function	NOUN
cana-2261	91	24	to	to	ADP
cana-2261	91	25	the	the	DET
cana-2261	91	26	entire	entire	ADJ
cana-2261	91	27	population	population	NOUN
cana-2261	91	28	and	and	CCONJ
cana-2261	91	29	determining	determine	VERB
cana-2261	91	30	if	if	SCONJ
cana-2261	91	31	the	the	DET
cana-2261	91	32	bit	bit	NOUN
cana-2261	91	33	strings	string	NOUN
cana-2261	91	34	are	be	AUX
cana-2261	91	35	suitable	suitable	ADJ
cana-2261	91	36	for	for	ADP
cana-2261	91	37	controlling	control	VERB
cana-2261	91	38	the	the	DET
cana-2261	91	39	main	main	ADJ
cana-2261	91	40	population	population	NOUN
cana-2261	91	41	are	be	AUX
cana-2261	91	42	the	the	DET
cana-2261	91	43	main	main	ADJ
cana-2261	91	44	tasks	task	NOUN
cana-2261	92	1	[	[	X
cana-2261	92	2	11	11	NUM
cana-2261	92	3	]	]	PUNCT
cana-2261	92	4	.	.	PUNCT
cana-2261	93	1	a	a	DET
cana-2261	93	2	chromosome	chromosome	NOUN
cana-2261	93	3	is	be	AUX
cana-2261	93	4	regarded	regard	VERB
cana-2261	93	5	as	as	ADP
cana-2261	93	6	a	a	DET
cana-2261	93	7	primary	primary	ADJ
cana-2261	93	8	characteristic	characteristic	NOUN
cana-2261	93	9	that	that	PRON
cana-2261	93	10	is	be	AUX
cana-2261	93	11	necessary	necessary	ADJ
cana-2261	93	12	for	for	ADP
cana-2261	93	13	classification	classification	NOUN
cana-2261	93	14	when	when	SCONJ
cana-2261	93	15	the	the	DET
cana-2261	93	16	bit	bit	NOUN
cana-2261	93	17	string	string	NOUN
cana-2261	93	18	displays	display	VERB
cana-2261	93	19	the	the	DET
cana-2261	93	20	value	value	NOUN
cana-2261	93	21	1	1	NUM
cana-2261	93	22	.	.	PUNCT
cana-2261	94	1	the	the	DET
cana-2261	94	2	location	location	NOUN
cana-2261	94	3	and	and	CCONJ
cana-2261	94	4	characteristics	characteristic	NOUN
cana-2261	94	5	of	of	ADP
cana-2261	94	6	the	the	DET
cana-2261	94	7	ischaemic	ischaemic	ADJ
cana-2261	94	8	stroke	stroke	NOUN
cana-2261	94	9	cells	cell	NOUN
cana-2261	94	10	on	on	ADP
cana-2261	94	11	the	the	DET
cana-2261	94	12	input	input	NOUN
cana-2261	94	13	medical	medical	ADJ
cana-2261	94	14	image	image	NOUN
cana-2261	94	15	define	define	VERB
cana-2261	94	16	the	the	DET
cana-2261	94	17	feature	feature	NOUN
cana-2261	94	18	.	.	PUNCT
cana-2261	95	1	the	the	DET
cana-2261	95	2	bit	bit	NOUN
cana-2261	95	3	string	string	NOUN
cana-2261	95	4	's	's	PART
cana-2261	95	5	chromosomal	chromosomal	ADJ
cana-2261	95	6	values	value	NOUN
cana-2261	95	7	are	be	AUX
cana-2261	95	8	used	use	VERB
cana-2261	95	9	to	to	PART
cana-2261	95	10	rank	rank	VERB
cana-2261	95	11	the	the	DET
cana-2261	95	12	attributes	attribute	NOUN
cana-2261	95	13	,	,	PUNCT
cana-2261	95	14	which	which	PRON
cana-2261	95	15	determines	determine	VERB
cana-2261	95	16	the	the	DET
cana-2261	95	17	classification	classification	NOUN
cana-2261	95	18	quality	quality	NOUN
cana-2261	95	19	.	.	PUNCT
cana-2261	96	1	the	the	DET
cana-2261	96	2	chromosomes	chromosome	NOUN
cana-2261	96	3	with	with	ADP
cana-2261	96	4	the	the	DET
cana-2261	96	5	greatest	great	ADJ
cana-2261	96	6	values	value	NOUN
cana-2261	96	7	following	follow	VERB
cana-2261	96	8	the	the	DET
cana-2261	96	9	fitness	fitness	NOUN
cana-2261	96	10	functions	function	NOUN
cana-2261	96	11	are	be	AUX
cana-2261	96	12	regarded	regard	VERB
cana-2261	96	13	by	by	ADP
cana-2261	96	14	genetic	genetic	ADJ
cana-2261	96	15	algorithms	algorithm	NOUN
cana-2261	96	16	as	as	ADP
cana-2261	96	17	the	the	DET
cana-2261	96	18	finest	fine	ADJ
cana-2261	96	19	features	feature	NOUN
cana-2261	96	20	for	for	ADP
cana-2261	96	21	guaranteeing	guarantee	VERB
cana-2261	96	22	an	an	DET
cana-2261	96	23	appropriate	appropriate	ADJ
cana-2261	96	24	classification	classification	NOUN
cana-2261	96	25	[	[	X
cana-2261	96	26	21	21	NUM
cana-2261	96	27	]	]	PUNCT
cana-2261	96	28	.	.	PUNCT
cana-2261	97	1	to	to	PART
cana-2261	97	2	create	create	VERB
cana-2261	97	3	the	the	DET
cana-2261	97	4	appropriate	appropriate	ADJ
cana-2261	97	5	chromosomes	chromosome	NOUN
cana-2261	97	6	for	for	ADP
cana-2261	97	7	efficient	efficient	ADJ
cana-2261	97	8	processing	processing	NOUN
cana-2261	97	9	,	,	PUNCT
cana-2261	97	10	the	the	DET
cana-2261	97	11	remaining	remain	VERB
cana-2261	97	12	population	population	NOUN
cana-2261	97	13	will	will	AUX
cana-2261	97	14	communications	communication	NOUN
cana-2261	97	15	on	on	ADP
cana-2261	97	16	applied	apply	VERB
cana-2261	97	17	nonlinear	nonlinear	ADJ
cana-2261	97	18	analysis	analysis	NOUN
cana-2261	97	19	issn	issn	NOUN
cana-2261	97	20	:	:	PUNCT
cana-2261	97	21	1074	1074	NUM
cana-2261	97	22	-	-	PUNCT
cana-2261	97	23	133x	133x	NUM
cana-2261	97	24	vol	vol	NOUN
cana-2261	97	25	32	32	NUM
cana-2261	97	26	no	no	NOUN
cana-2261	97	27	.	.	PUNCT
cana-2261	98	1	2s	2s	NUM
cana-2261	98	2	(	(	PUNCT
cana-2261	98	3	2025	2025	NUM
cana-2261	98	4	)	)	PUNCT
cana-2261	98	5	161	161	NUM
cana-2261	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	98	7	be	be	AUX
cana-2261	98	8	iteratively	iteratively	ADV
cana-2261	98	9	processed	process	VERB
cana-2261	98	10	using	use	VERB
cana-2261	98	11	the	the	DET
cana-2261	98	12	same	same	ADJ
cana-2261	98	13	fitness	fitness	NOUN
cana-2261	98	14	functions	function	NOUN
cana-2261	98	15	that	that	PRON
cana-2261	98	16	are	be	AUX
cana-2261	98	17	subjected	subject	VERB
cana-2261	98	18	to	to	PART
cana-2261	98	19	crossover	crossover	VERB
cana-2261	98	20	and	and	CCONJ
cana-2261	98	21	mutation	mutation	NOUN
cana-2261	98	22	functions	function	NOUN
cana-2261	98	23	.	.	PUNCT
cana-2261	99	1	the	the	DET
cana-2261	99	2	ideas	idea	NOUN
cana-2261	99	3	underlying	underlie	VERB
cana-2261	99	4	a	a	DET
cana-2261	99	5	genetic	genetic	ADJ
cana-2261	99	6	algorithm	algorithm	NOUN
cana-2261	99	7	's	's	PART
cana-2261	99	8	operation	operation	NOUN
cana-2261	99	9	,	,	PUNCT
cana-2261	99	10	the	the	DET
cana-2261	99	11	actions	action	NOUN
cana-2261	99	12	needed	need	VERB
cana-2261	99	13	in	in	ADP
cana-2261	99	14	creating	create	VERB
cana-2261	99	15	the	the	DET
cana-2261	99	16	population	population	NOUN
cana-2261	99	17	,	,	PUNCT
cana-2261	99	18	fitness	fitness	NOUN
cana-2261	99	19	functions	function	NOUN
cana-2261	99	20	,	,	PUNCT
cana-2261	99	21	and	and	CCONJ
cana-2261	99	22	the	the	DET
cana-2261	99	23	procedures	procedure	NOUN
cana-2261	99	24	established	establish	VERB
cana-2261	99	25	to	to	PART
cana-2261	99	26	handle	handle	VERB
cana-2261	99	27	the	the	DET
cana-2261	99	28	optimisations	optimisation	NOUN
cana-2261	99	29	necessary	necessary	ADJ
cana-2261	99	30	to	to	PART
cana-2261	99	31	create	create	VERB
cana-2261	99	32	the	the	DET
cana-2261	99	33	fitness	fitness	NOUN
cana-2261	99	34	functions	function	NOUN
cana-2261	99	35	.	.	PUNCT
cana-2261	100	1	4	4	X
cana-2261	100	2	.	.	X
cana-2261	100	3	experimental	experimental	ADJ
cana-2261	100	4	results	result	NOUN
cana-2261	100	5	and	and	CCONJ
cana-2261	100	6	discussion	discussion	NOUN
cana-2261	100	7	the	the	DET
cana-2261	100	8	suggested	suggest	VERB
cana-2261	100	9	deep	deep	ADJ
cana-2261	100	10	learning	learning	NOUN
cana-2261	100	11	model	model	NOUN
cana-2261	100	12	's	's	PART
cana-2261	100	13	experimental	experimental	ADJ
cana-2261	100	14	findings	finding	NOUN
cana-2261	100	15	are	be	AUX
cana-2261	100	16	shown	show	VERB
cana-2261	100	17	in	in	ADP
cana-2261	100	18	this	this	DET
cana-2261	100	19	section	section	NOUN
cana-2261	100	20	.	.	PUNCT
cana-2261	101	1	the	the	DET
cana-2261	101	2	suggested	suggest	VERB
cana-2261	101	3	model	model	NOUN
cana-2261	101	4	's	's	PART
cana-2261	101	5	simulation	simulation	NOUN
cana-2261	101	6	is	be	AUX
cana-2261	101	7	also	also	ADV
cana-2261	101	8	contrasted	contrast	VERB
cana-2261	101	9	with	with	ADP
cana-2261	101	10	well	well	ADV
cana-2261	101	11	-	-	PUNCT
cana-2261	101	12	known	know	VERB
cana-2261	101	13	current	current	ADJ
cana-2261	101	14	methods	method	NOUN
cana-2261	101	15	and	and	CCONJ
cana-2261	101	16	models	model	NOUN
cana-2261	101	17	.	.	PUNCT
cana-2261	102	1	the	the	DET
cana-2261	102	2	suggested	suggest	VERB
cana-2261	102	3	model	model	NOUN
cana-2261	102	4	's	's	PART
cana-2261	102	5	effectiveness	effectiveness	NOUN
cana-2261	102	6	is	be	AUX
cana-2261	102	7	assessed	assess	VERB
cana-2261	102	8	through	through	ADP
cana-2261	102	9	the	the	DET
cana-2261	102	10	application	application	NOUN
cana-2261	102	11	of	of	ADP
cana-2261	102	12	three	three	NUM
cana-2261	102	13	established	establish	VERB
cana-2261	102	14	performance	performance	NOUN
cana-2261	102	15	metrics	metric	NOUN
cana-2261	102	16	.	.	PUNCT
cana-2261	103	1	these	these	DET
cana-2261	103	2	three	three	NUM
cana-2261	103	3	performance	performance	NOUN
cana-2261	103	4	metrics	metric	NOUN
cana-2261	103	5	are	be	AUX
cana-2261	103	6	recall	recall	NOUN
cana-2261	103	7	,	,	PUNCT
cana-2261	103	8	accuracy	accuracy	NOUN
cana-2261	103	9	,	,	PUNCT
cana-2261	103	10	and	and	CCONJ
cana-2261	103	11	precision	precision	NOUN
cana-2261	103	12	.	.	PUNCT
cana-2261	104	1	the	the	DET
cana-2261	104	2	suggested	suggest	VERB
cana-2261	104	3	dl	dl	PROPN
cana-2261	104	4	model	model	NOUN
cana-2261	104	5	is	be	AUX
cana-2261	104	6	implemented	implement	VERB
cana-2261	104	7	using	use	VERB
cana-2261	104	8	the	the	DET
cana-2261	104	9	matlab	matlab	PROPN
cana-2261	104	10	2020a	2020a	NOUN
cana-2261	104	11	environment	environment	NOUN
cana-2261	104	12	,	,	PUNCT
cana-2261	104	13	and	and	CCONJ
cana-2261	104	14	average	average	ADJ
cana-2261	104	15	results	result	NOUN
cana-2261	104	16	from	from	ADP
cana-2261	104	17	thirty	thirty	NUM
cana-2261	104	18	independent	independent	ADJ
cana-2261	104	19	runs	run	NOUN
cana-2261	104	20	are	be	AUX
cana-2261	104	21	shown	show	VERB
cana-2261	104	22	.	.	PUNCT
cana-2261	105	1	the	the	DET
cana-2261	105	2	stroke	stroke	NOUN
cana-2261	105	3	disease	disease	NOUN
cana-2261	105	4	dataset	dataset	VERB
cana-2261	105	5	is	be	AUX
cana-2261	105	6	used	use	VERB
cana-2261	105	7	to	to	PART
cana-2261	105	8	assess	assess	VERB
cana-2261	105	9	the	the	DET
cana-2261	105	10	suggested	suggested	ADJ
cana-2261	105	11	model	model	NOUN
cana-2261	105	12	's	's	PART
cana-2261	105	13	effectiveness	effectiveness	NOUN
cana-2261	105	14	.	.	PUNCT
cana-2261	106	1	43400	43400	NUM
cana-2261	106	2	data	datum	NOUN
cana-2261	106	3	objects	object	NOUN
cana-2261	106	4	with	with	ADP
cana-2261	106	5	binary	binary	ADJ
cana-2261	106	6	classes	class	NOUN
cana-2261	106	7	(	(	PUNCT
cana-2261	106	8	stroke	stroke	NOUN
cana-2261	106	9	and	and	CCONJ
cana-2261	106	10	healthy	healthy	ADJ
cana-2261	106	11	,	,	PUNCT
cana-2261	106	12	i.e.	i.e.	X
cana-2261	106	13	no	no	DET
cana-2261	106	14	stroke	stroke	NOUN
cana-2261	106	15	)	)	PUNCT
cana-2261	106	16	are	be	AUX
cana-2261	106	17	included	include	VERB
cana-2261	106	18	in	in	ADP
cana-2261	106	19	the	the	DET
cana-2261	106	20	stroke	stroke	NOUN
cana-2261	106	21	disease	disease	NOUN
cana-2261	106	22	dataset	dataset	VERB
cana-2261	106	23	.	.	PUNCT
cana-2261	107	1	a	a	DET
cana-2261	107	2	total	total	NOUN
cana-2261	107	3	of	of	ADP
cana-2261	107	4	42617	42617	NUM
cana-2261	107	5	data	datum	NOUN
cana-2261	107	6	objects	object	NOUN
cana-2261	107	7	are	be	AUX
cana-2261	107	8	classified	classify	VERB
cana-2261	107	9	as	as	ADP
cana-2261	107	10	healthy	healthy	ADJ
cana-2261	107	11	,	,	PUNCT
cana-2261	107	12	or	or	CCONJ
cana-2261	107	13	stroke	stroke	NOUN
cana-2261	107	14	-	-	PUNCT
cana-2261	107	15	free	free	ADJ
cana-2261	107	16	.	.	PUNCT
cana-2261	108	1	the	the	DET
cana-2261	108	2	remaining	remain	VERB
cana-2261	108	3	data	data	NOUN
cana-2261	108	4	items	item	NOUN
cana-2261	108	5	are	be	AUX
cana-2261	108	6	members	member	NOUN
cana-2261	108	7	of	of	ADP
cana-2261	108	8	the	the	DET
cana-2261	108	9	stroke	stroke	NOUN
cana-2261	108	10	class	class	NOUN
cana-2261	108	11	.	.	PUNCT
cana-2261	109	1	in	in	ADP
cana-2261	109	2	addition	addition	NOUN
cana-2261	109	3	,	,	PUNCT
cana-2261	109	4	there	there	PRON
cana-2261	109	5	are	be	VERB
cana-2261	109	6	a	a	DET
cana-2261	109	7	lot	lot	NOUN
cana-2261	109	8	of	of	ADP
cana-2261	109	9	missing	miss	VERB
cana-2261	109	10	values	value	NOUN
cana-2261	109	11	in	in	ADP
cana-2261	109	12	the	the	DET
cana-2261	109	13	stroke	stroke	NOUN
cana-2261	109	14	dataset	dataset	VERB
cana-2261	109	15	.	.	PUNCT
cana-2261	110	1	there	there	PRON
cana-2261	110	2	are	be	VERB
cana-2261	110	3	many	many	ADJ
cana-2261	110	4	missing	missing	ADJ
cana-2261	110	5	values	value	NOUN
cana-2261	110	6	in	in	ADP
cana-2261	110	7	the	the	DET
cana-2261	110	8	dataset	dataset	NOUN
cana-2261	110	9	,	,	PUNCT
cana-2261	110	10	and	and	CCONJ
cana-2261	110	11	the	the	DET
cana-2261	110	12	mean	mean	ADJ
cana-2261	110	13	value	value	NOUN
cana-2261	110	14	of	of	ADP
cana-2261	110	15	each	each	DET
cana-2261	110	16	feature	feature	NOUN
cana-2261	110	17	is	be	AUX
cana-2261	110	18	used	use	VERB
cana-2261	110	19	to	to	PART
cana-2261	110	20	swap	swap	VERB
cana-2261	110	21	these	these	DET
cana-2261	110	22	missing	miss	VERB
cana-2261	110	23	values	value	NOUN
cana-2261	110	24	.	.	PUNCT
cana-2261	111	1	ultimately	ultimately	ADV
cana-2261	111	2	,	,	PUNCT
cana-2261	111	3	the	the	DET
cana-2261	111	4	stroke	stroke	NOUN
cana-2261	111	5	-	-	PUNCT
cana-2261	111	6	affected	affect	VERB
cana-2261	111	7	patients	patient	NOUN
cana-2261	111	8	are	be	AUX
cana-2261	111	9	predicted	predict	VERB
cana-2261	111	10	using	use	VERB
cana-2261	111	11	the	the	DET
cana-2261	111	12	dl	dl	PROPN
cana-2261	111	13	model	model	NOUN
cana-2261	111	14	.	.	PUNCT
cana-2261	112	1	figure	figure	VERB
cana-2261	112	2	2	2	NUM
cana-2261	112	3	:	:	PUNCT
cana-2261	112	4	simulation	simulation	NOUN
cana-2261	112	5	results	result	NOUN
cana-2261	112	6	of	of	ADP
cana-2261	112	7	dl	dl	PROPN
cana-2261	112	8	model	model	NOUN
cana-2261	112	9	the	the	DET
cana-2261	112	10	experimental	experimental	ADJ
cana-2261	112	11	findings	finding	NOUN
cana-2261	112	12	of	of	ADP
cana-2261	112	13	the	the	DET
cana-2261	112	14	suggested	suggest	VERB
cana-2261	112	15	bwt	bwt	PROPN
cana-2261	112	16	-	-	PUNCT
cana-2261	112	17	ga	ga	PROPN
cana-2261	112	18	optimised	optimise	VERB
cana-2261	112	19	dnn	dnn	PROPN
cana-2261	112	20	model	model	NOUN
cana-2261	112	21	and	and	CCONJ
cana-2261	112	22	dnn	dnn	PROPN
cana-2261	112	23	procedures	procedure	NOUN
cana-2261	112	24	employing	employ	VERB
cana-2261	112	25	the	the	DET
cana-2261	112	26	50	50	NUM
cana-2261	112	27	-	-	SYM
cana-2261	112	28	50	50	NUM
cana-2261	112	29	%	%	NOUN
cana-2261	112	30	training	training	NOUN
cana-2261	112	31	-	-	PUNCT
cana-2261	112	32	testing	testing	NOUN
cana-2261	112	33	and	and	CCONJ
cana-2261	112	34	10	10	NUM
cana-2261	112	35	-	-	PUNCT
cana-2261	112	36	cross	cross	NOUN
cana-2261	112	37	fold	fold	ADJ
cana-2261	112	38	methods	method	NOUN
cana-2261	112	39	are	be	AUX
cana-2261	112	40	graphically	graphically	ADV
cana-2261	112	41	shown	show	VERB
cana-2261	112	42	in	in	ADP
cana-2261	112	43	figures	figure	NOUN
cana-2261	112	44	2	2	NUM
cana-2261	112	45	-	-	SYM
cana-2261	112	46	4	4	NUM
cana-2261	112	47	.	.	PUNCT
cana-2261	113	1	plotting	plot	VERB
cana-2261	113	2	of	of	ADP
cana-2261	113	3	these	these	DET
cana-2261	113	4	outcomes	outcome	NOUN
cana-2261	113	5	is	be	AUX
cana-2261	113	6	done	do	VERB
cana-2261	113	7	using	use	VERB
cana-2261	113	8	the	the	DET
cana-2261	113	9	recall	recall	NOUN
cana-2261	113	10	,	,	PUNCT
cana-2261	113	11	accuracy	accuracy	NOUN
cana-2261	113	12	,	,	PUNCT
cana-2261	113	13	and	and	CCONJ
cana-2261	113	14	precision	precision	NOUN
cana-2261	113	15	factors	factor	NOUN
cana-2261	113	16	.	.	PUNCT
cana-2261	114	1	the	the	DET
cana-2261	114	2	simulation	simulation	NOUN
cana-2261	114	3	results	result	VERB
cana-2261	114	4	for	for	ADP
cana-2261	114	5	the	the	DET
cana-2261	114	6	dnn	dnn	PROPN
cana-2261	114	7	and	and	CCONJ
cana-2261	114	8	bwt	bwt	PROPN
cana-2261	114	9	-	-	PUNCT
cana-2261	114	10	ga	ga	PROPN
cana-2261	114	11	optimised	optimise	VERB
cana-2261	114	12	dnn	dnn	PROPN
cana-2261	114	13	models	model	NOUN
cana-2261	114	14	using	use	VERB
cana-2261	114	15	the	the	DET
cana-2261	114	16	10	10	NUM
cana-2261	114	17	-	-	PUNCT
cana-2261	114	18	cross	cross	NOUN
cana-2261	114	19	fold	fold	ADJ
cana-2261	114	20	method	method	NOUN
cana-2261	114	21	are	be	AUX
cana-2261	114	22	shown	show	VERB
cana-2261	114	23	in	in	ADP
cana-2261	114	24	figure	figure	NOUN
cana-2261	114	25	3.3	3.3	NUM
cana-2261	114	26	.	.	PUNCT
cana-2261	115	1	it	it	PRON
cana-2261	115	2	is	be	AUX
cana-2261	115	3	observed	observe	VERB
cana-2261	115	4	that	that	SCONJ
cana-2261	115	5	compared	compare	VERB
cana-2261	115	6	to	to	ADP
cana-2261	115	7	dnn	dnn	PROPN
cana-2261	115	8	models	model	NOUN
cana-2261	115	9	,	,	PUNCT
cana-2261	115	10	the	the	DET
cana-2261	115	11	bwt	bwt	PROPN
cana-2261	115	12	-	-	PUNCT
cana-2261	115	13	ga	ga	PROPN
cana-2261	115	14	optimised	optimise	VERB
cana-2261	115	15	dnn	dnn	PROPN
cana-2261	115	16	model	model	NOUN
cana-2261	115	17	archives	archive	VERB
cana-2261	115	18	greater	great	ADJ
cana-2261	115	19	accuracy	accuracy	NOUN
cana-2261	115	20	,	,	PUNCT
cana-2261	115	21	precision	precision	NOUN
cana-2261	115	22	,	,	PUNCT
cana-2261	115	23	and	and	CCONJ
cana-2261	115	24	recall	recall	NOUN
cana-2261	115	25	rates	rate	NOUN
cana-2261	115	26	.	.	PUNCT
cana-2261	116	1	thus	thus	ADV
cana-2261	116	2	,	,	PUNCT
cana-2261	116	3	it	it	PRON
cana-2261	116	4	is	be	AUX
cana-2261	116	5	also	also	ADV
cana-2261	116	6	claimed	claim	VERB
cana-2261	116	7	that	that	SCONJ
cana-2261	116	8	the	the	DET
cana-2261	116	9	feature	feature	NOUN
cana-2261	116	10	weight	weight	NOUN
cana-2261	116	11	technique	technique	NOUN
cana-2261	116	12	greatly	greatly	ADV
cana-2261	116	13	raises	raise	VERB
cana-2261	116	14	the	the	DET
cana-2261	116	15	dnn	dnn	PROPN
cana-2261	116	16	technique	technique	NOUN
cana-2261	116	17	's	's	PART
cana-2261	116	18	prediction	prediction	NOUN
cana-2261	116	19	rate	rate	NOUN
cana-2261	116	20	.	.	PUNCT
cana-2261	117	1	the	the	DET
cana-2261	117	2	simulation	simulation	NOUN
cana-2261	117	3	results	result	NOUN
cana-2261	117	4	of	of	ADP
cana-2261	117	5	the	the	DET
cana-2261	117	6	50%-50	50%-50	NUM
cana-2261	117	7	%	%	NOUN
cana-2261	117	8	training	training	NOUN
cana-2261	117	9	-	-	PUNCT
cana-2261	117	10	testing	testing	NOUN
cana-2261	117	11	approach	approach	NOUN
cana-2261	117	12	for	for	ADP
cana-2261	117	13	dnn	dnn	PROPN
cana-2261	117	14	and	and	CCONJ
cana-2261	117	15	bwt	bwt	PROPN
cana-2261	117	16	-	-	PUNCT
cana-2261	117	17	ga	ga	PROPN
cana-2261	117	18	optimised	optimise	VERB
cana-2261	117	19	dnn	dnn	PROPN
cana-2261	117	20	models	model	NOUN
cana-2261	117	21	are	be	AUX
cana-2261	117	22	shown	show	VERB
cana-2261	117	23	in	in	ADP
cana-2261	117	24	figure	figure	NOUN
cana-2261	117	25	3	3	NUM
cana-2261	117	26	.	.	PUNCT
cana-2261	118	1	it	it	PRON
cana-2261	118	2	is	be	AUX
cana-2261	118	3	said	say	VERB
cana-2261	118	4	once	once	ADV
cana-2261	118	5	more	more	ADJ
cana-2261	118	6	that	that	SCONJ
cana-2261	118	7	the	the	DET
cana-2261	118	8	bwt	bwt	PROPN
cana-2261	118	9	-	-	PUNCT
cana-2261	118	10	ga	ga	PROPN
cana-2261	118	11	optimised	optimise	VERB
cana-2261	118	12	dnn	dnn	PROPN
cana-2261	118	13	model	model	NOUN
cana-2261	118	14	outperforms	outperform	VERB
cana-2261	118	15	the	the	DET
cana-2261	118	16	dnn	dnn	PROPN
cana-2261	118	17	model	model	NOUN
cana-2261	118	18	in	in	ADP
cana-2261	118	19	terms	term	NOUN
cana-2261	118	20	of	of	ADP
cana-2261	118	21	performance	performance	NOUN
cana-2261	118	22	.	.	PUNCT
cana-2261	119	1	based	base	VERB
cana-2261	119	2	on	on	ADP
cana-2261	119	3	the	the	DET
cana-2261	119	4	examination	examination	NOUN
cana-2261	119	5	of	of	ADP
cana-2261	119	6	figures	figure	NOUN
cana-2261	119	7	3–4	3–4	NUM
cana-2261	119	8	,	,	PUNCT
cana-2261	119	9	it	it	PRON
cana-2261	119	10	can	can	AUX
cana-2261	119	11	be	be	AUX
cana-2261	119	12	concluded	conclude	VERB
cana-2261	119	13	that	that	SCONJ
cana-2261	119	14	the	the	DET
cana-2261	119	15	abc	abc	PROPN
cana-2261	119	16	-	-	PUNCT
cana-2261	119	17	fs	fs	PROPN
cana-2261	119	18	optimised	optimise	VERB
cana-2261	119	19	dnn	dnn	PROPN
cana-2261	119	20	model	model	NOUN
cana-2261	119	21	outperforms	outperform	VERB
cana-2261	119	22	the	the	DET
cana-2261	119	23	dnn	dnn	PROPN
cana-2261	119	24	model	model	NOUN
cana-2261	119	25	when	when	SCONJ
cana-2261	119	26	both	both	DET
cana-2261	119	27	training	training	NOUN
cana-2261	119	28	approaches	approach	NOUN
cana-2261	119	29	are	be	AUX
cana-2261	119	30	used	use	VERB
cana-2261	119	31	(	(	PUNCT
cana-2261	119	32	10	10	NUM
cana-2261	119	33	–	–	PUNCT
cana-2261	119	34	cross	cross	VERB
cana-2261	119	35	fold	fold	ADJ
cana-2261	119	36	method	method	NOUN
cana-2261	119	37	and	and	CCONJ
cana-2261	119	38	50–50	50–50	NUM
cana-2261	119	39	training	training	NOUN
cana-2261	119	40	testing	testing	NOUN
cana-2261	119	41	)	)	PUNCT
cana-2261	119	42	.	.	PUNCT
cana-2261	120	1	the	the	DET
cana-2261	120	2	simulation	simulation	NOUN
cana-2261	120	3	results	result	VERB
cana-2261	120	4	for	for	ADP
cana-2261	120	5	the	the	DET
cana-2261	120	6	bwt	bwt	PROPN
cana-2261	120	7	-	-	PUNCT
cana-2261	120	8	ga	ga	PROPN
cana-2261	120	9	communications	communication	NOUN
cana-2261	120	10	on	on	ADP
cana-2261	120	11	applied	apply	VERB
cana-2261	120	12	nonlinear	nonlinear	ADJ
cana-2261	120	13	analysis	analysis	NOUN
cana-2261	120	14	issn	issn	NOUN
cana-2261	120	15	:	:	PUNCT
cana-2261	120	16	1074	1074	NUM
cana-2261	120	17	-	-	PUNCT
cana-2261	120	18	133x	133x	NUM
cana-2261	120	19	vol	vol	NOUN
cana-2261	120	20	32	32	NUM
cana-2261	120	21	no	no	NOUN
cana-2261	120	22	.	.	PUNCT
cana-2261	121	1	2s	2s	NUM
cana-2261	121	2	(	(	PUNCT
cana-2261	121	3	2025	2025	NUM
cana-2261	121	4	)	)	PUNCT
cana-2261	121	5	162	162	NUM
cana-2261	121	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2261	121	7	optimised	optimise	VERB
cana-2261	121	8	dnn	dnn	PROPN
cana-2261	121	9	model	model	NOUN
cana-2261	121	10	employing	employ	VERB
cana-2261	121	11	accuracy	accuracy	NOUN
cana-2261	121	12	,	,	PUNCT
cana-2261	121	13	precision	precision	NOUN
cana-2261	121	14	,	,	PUNCT
cana-2261	121	15	and	and	CCONJ
cana-2261	121	16	recall	recall	NOUN
cana-2261	121	17	measures	measure	NOUN
cana-2261	121	18	are	be	AUX
cana-2261	121	19	shown	show	VERB
cana-2261	121	20	in	in	ADP
cana-2261	121	21	figure	figure	NOUN
cana-2261	121	22	4	4	NUM
cana-2261	121	23	for	for	ADP
cana-2261	121	24	the	the	DET
cana-2261	121	25	10	10	NUM
cana-2261	121	26	-	-	PUNCT
cana-2261	121	27	cross	cross	NOUN
cana-2261	121	28	fold	fold	ADJ
cana-2261	121	29	method	method	NOUN
cana-2261	121	30	and	and	CCONJ
cana-2261	121	31	the	the	DET
cana-2261	121	32	50–50	50–50	NUM
cana-2261	121	33	%	%	NOUN
cana-2261	121	34	training	training	NOUN
cana-2261	121	35	-	-	PUNCT
cana-2261	121	36	testing	testing	NOUN
cana-2261	121	37	methods	method	NOUN
cana-2261	121	38	.	.	PUNCT
cana-2261	122	1	it	it	PRON
cana-2261	122	2	is	be	AUX
cana-2261	122	3	observed	observe	VERB
cana-2261	122	4	that	that	SCONJ
cana-2261	122	5	the	the	DET
cana-2261	122	6	10	10	NUM
cana-2261	122	7	-	-	PUNCT
cana-2261	122	8	cross	cross	NOUN
cana-2261	122	9	fold	fold	ADJ
cana-2261	122	10	approach	approach	NOUN
cana-2261	122	11	outperforms	outperform	VERB
cana-2261	122	12	the	the	DET
cana-2261	122	13	50	50	NUM
cana-2261	122	14	-	-	SYM
cana-2261	122	15	50	50	NUM
cana-2261	122	16	%	%	NOUN
cana-2261	122	17	training	training	NOUN
cana-2261	122	18	-	-	PUNCT
cana-2261	122	19	testing	testing	NOUN
cana-2261	122	20	approaches	approach	NOUN
cana-2261	122	21	in	in	ADP
cana-2261	122	22	terms	term	NOUN
cana-2261	122	23	of	of	ADP
cana-2261	122	24	results	result	NOUN
cana-2261	122	25	.	.	PUNCT
cana-2261	123	1	as	as	ADP
cana-2261	123	2	a	a	DET
cana-2261	123	3	result	result	NOUN
cana-2261	123	4	,	,	PUNCT
cana-2261	123	5	it	it	PRON
cana-2261	123	6	is	be	AUX
cana-2261	123	7	said	say	VERB
cana-2261	123	8	that	that	SCONJ
cana-2261	123	9	the	the	DET
cana-2261	123	10	10	10	NUM
cana-2261	123	11	-	-	PUNCT
cana-2261	123	12	cross	cross	NOUN
cana-2261	123	13	fold	fold	ADJ
cana-2261	123	14	method	method	NOUN
cana-2261	123	15	is	be	AUX
cana-2261	123	16	an	an	DET
cana-2261	123	17	important	important	ADJ
cana-2261	123	18	technique	technique	NOUN
cana-2261	123	19	for	for	ADP
cana-2261	123	20	modelling	model	VERB
cana-2261	123	21	categorisation	categorisation	NOUN
cana-2261	123	22	and	and	CCONJ
cana-2261	123	23	prediction	prediction	NOUN
cana-2261	123	24	.	.	PUNCT
cana-2261	124	1	figure	figure	NOUN
cana-2261	124	2	3	3	NUM
cana-2261	124	3	:	:	PUNCT
cana-2261	124	4	simulation	simulation	NOUN
cana-2261	124	5	results	result	NOUN
cana-2261	124	6	of	of	ADP
cana-2261	124	7	50	50	NUM
cana-2261	124	8	-	-	SYM
cana-2261	124	9	50	50	NUM
cana-2261	124	10	%	%	NOUN
cana-2261	124	11	training	training	NOUN
cana-2261	124	12	testing	testing	NOUN
cana-2261	124	13	figure	figure	NOUN
cana-2261	124	14	4	4	NUM
cana-2261	124	15	:	:	PUNCT
cana-2261	124	16	comparison	comparison	NOUN
cana-2261	124	17	of	of	ADP
cana-2261	124	18	simulation	simulation	NOUN
cana-2261	124	19	results	result	NOUN
cana-2261	124	20	of	of	ADP
cana-2261	124	21	10	10	NUM
cana-2261	124	22	-	-	PUNCT
cana-2261	124	23	cross	cross	NOUN
cana-2261	124	24	fold	fold	NOUN
cana-2261	124	25	and	and	CCONJ
cana-2261	124	26	50	50	NUM
cana-2261	124	27	-	-	SYM
cana-2261	124	28	50	50	NUM
cana-2261	124	29	%	%	NOUN
cana-2261	124	30	training	training	NOUN
cana-2261	124	31	testing	testing	NOUN
cana-2261	124	32	additionally	additionally	ADV
cana-2261	124	33	,	,	PUNCT
cana-2261	124	34	a	a	DET
cana-2261	124	35	comparison	comparison	NOUN
cana-2261	124	36	is	be	AUX
cana-2261	124	37	made	make	VERB
cana-2261	124	38	between	between	ADP
cana-2261	124	39	the	the	DET
cana-2261	124	40	experimental	experimental	ADJ
cana-2261	124	41	outcomes	outcome	NOUN
cana-2261	124	42	of	of	ADP
cana-2261	124	43	the	the	DET
cana-2261	124	44	suggested	suggest	VERB
cana-2261	124	45	bwt	bwt	PROPN
cana-2261	124	46	-	-	PUNCT
cana-2261	124	47	ga	ga	PROPN
cana-2261	124	48	optimised	optimise	VERB
cana-2261	124	49	dnn	dnn	PROPN
cana-2261	124	50	model	model	NOUN
cana-2261	124	51	and	and	CCONJ
cana-2261	124	52	a	a	DET
cana-2261	124	53	number	number	NOUN
cana-2261	124	54	of	of	ADP
cana-2261	124	55	machine	machine	NOUN
cana-2261	124	56	learning	learning	NOUN
cana-2261	124	57	approaches	approach	VERB
cana-2261	124	58	already	already	ADV
cana-2261	124	59	in	in	ADP
cana-2261	124	60	use	use	NOUN
cana-2261	124	61	.	.	PUNCT
cana-2261	125	1	figure	figure	NOUN
cana-2261	125	2	5	5	NUM
cana-2261	125	3	:	:	PUNCT
cana-2261	125	4	simulation	simulation	NOUN
cana-2261	125	5	results	result	NOUN
cana-2261	125	6	of	of	ADP
cana-2261	125	7	abc	abc	PROPN
cana-2261	125	8	-	-	PUNCT
cana-2261	125	9	fs	fs	PROPN
cana-2261	125	10	optimized	optimize	VERB
cana-2261	125	11	dnn	dnn	PROPN
cana-2261	125	12	model	model	NOUN
cana-2261	125	13	and	and	CCONJ
cana-2261	125	14	other	other	ADJ
cana-2261	125	15	machine	machine	NOUN
cana-2261	125	16	learning	learn	VERB
cana-2261	125	17	techniques	technique	NOUN
cana-2261	125	18	using	use	VERB
cana-2261	125	19	accuracy	accuracy	NOUN
cana-2261	125	20	,	,	PUNCT
cana-2261	125	21	precision	precision	NOUN
cana-2261	125	22	and	and	CCONJ
cana-2261	125	23	recall	recall	NOUN
cana-2261	125	24	parameters	parameter	NOUN
cana-2261	125	25	using	use	VERB
cana-2261	125	26	10	10	NUM
cana-2261	125	27	-	-	PUNCT
cana-2261	125	28	cross	cross	NOUN
cana-2261	125	29	fold	fold	ADJ
cana-2261	125	30	figures	figure	NOUN
cana-2261	125	31	5	5	NUM
cana-2261	125	32	and	and	CCONJ
cana-2261	125	33	6	6	NUM
cana-2261	125	34	use	use	NOUN
cana-2261	125	35	accuracy	accuracy	NOUN
cana-2261	125	36	,	,	PUNCT
cana-2261	125	37	precision	precision	NOUN
cana-2261	125	38	,	,	PUNCT
cana-2261	125	39	and	and	CCONJ
cana-2261	125	40	recall	recall	VERB
cana-2261	125	41	characteristics	characteristic	NOUN
cana-2261	125	42	to	to	PART
cana-2261	125	43	compare	compare	VERB
cana-2261	125	44	the	the	DET
cana-2261	125	45	performance	performance	NOUN
cana-2261	125	46	of	of	ADP
cana-2261	125	47	various	various	ADJ
cana-2261	125	48	machine	machine	NOUN
cana-2261	125	49	learning	learn	VERB
cana-2261	125	50	techniques	technique	NOUN
cana-2261	125	51	with	with	ADP
cana-2261	125	52	the	the	DET
cana-2261	125	53	proposed	propose	VERB
cana-2261	125	54	bwt	bwt	PROPN
cana-2261	125	55	-	-	PUNCT
cana-2261	125	56	ga	ga	PROPN
cana-2261	125	57	optimised	optimise	VERB
cana-2261	125	58	dnn	dnn	PROPN
cana-2261	125	59	model	model	NOUN
cana-2261	125	60	.	.	PUNCT
cana-2261	126	1	the	the	DET
cana-2261	126	2	simulation	simulation	NOUN
cana-2261	126	3	results	result	NOUN
cana-2261	126	4	of	of	ADP
cana-2261	126	5	the	the	DET
cana-2261	126	6	suggested	suggest	VERB
cana-2261	126	7	bwt	bwt	PROPN
cana-2261	126	8	-	-	PUNCT
cana-2261	126	9	ga	ga	PROPN
cana-2261	126	10	optimised	optimise	VERB
cana-2261	126	11	dnn	dnn	PROPN
cana-2261	126	12	model	model	NOUN
cana-2261	126	13	and	and	CCONJ
cana-2261	126	14	further	further	ADJ
cana-2261	126	15	methods	method	NOUN
cana-2261	126	16	using	use	VERB
cana-2261	126	17	the	the	DET
cana-2261	126	18	10	10	NUM
cana-2261	126	19	-	-	PUNCT
cana-2261	126	20	cross	cross	NOUN
cana-2261	126	21	fold	fold	ADJ
cana-2261	126	22	method	method	NOUN
cana-2261	126	23	are	be	AUX
cana-2261	126	24	shown	show	VERB
cana-2261	126	25	in	in	ADP
cana-2261	126	26	figure	figure	NOUN
cana-2261	126	27	5	5	NUM
cana-2261	126	28	.	.	PUNCT
cana-2261	127	1	it	it	PRON
cana-2261	127	2	is	be	AUX
cana-2261	127	3	claimed	claim	VERB
cana-2261	127	4	that	that	SCONJ
cana-2261	127	5	the	the	DET
cana-2261	127	6	suggested	suggest	VERB
cana-2261	127	7	model	model	NOUN
cana-2261	127	8	performs	perform	VERB
cana-2261	127	9	better	well	ADV
cana-2261	127	10	in	in	ADP
cana-2261	127	11	terms	term	NOUN
cana-2261	127	12	of	of	ADP
cana-2261	127	13	accuracy	accuracy	NOUN
cana-2261	127	14	,	,	PUNCT
cana-2261	127	15	precision	precision	NOUN
cana-2261	127	16	,	,	PUNCT
cana-2261	127	17	and	and	CCONJ
cana-2261	127	18	recall	recall	NOUN
cana-2261	127	19	rates	rate	NOUN
cana-2261	127	20	than	than	ADP
cana-2261	127	21	alternative	alternative	ADJ
cana-2261	127	22	methods	method	NOUN
cana-2261	127	23	.	.	PUNCT
cana-2261	128	1	the	the	DET
cana-2261	128	2	simulation	simulation	NOUN
cana-2261	128	3	results	result	NOUN
cana-2261	128	4	of	of	ADP
cana-2261	128	5	the	the	DET
cana-2261	128	6	proposed	propose	VERB
cana-2261	128	7	bwt	bwt	PROPN
cana-2261	128	8	-	-	PUNCT
cana-2261	128	9	ga	ga	PROPN
cana-2261	128	10	optimised	optimise	VERB
cana-2261	128	11	dnn	dnn	PROPN
cana-2261	128	12	model	model	NOUN
cana-2261	128	13	and	and	CCONJ
cana-2261	128	14	other	other	ADJ
cana-2261	128	15	methods	method	NOUN
cana-2261	128	16	utilising	utilise	VERB
cana-2261	128	17	the	the	DET
cana-2261	128	18	50%-50	50%-50	NUM
cana-2261	128	19	%	%	NOUN
cana-2261	128	20	training	training	NOUN
cana-2261	128	21	-	-	PUNCT
cana-2261	128	22	testing	testing	NOUN
cana-2261	128	23	strategy	strategy	NOUN
cana-2261	128	24	are	be	AUX
cana-2261	128	25	shown	show	VERB
cana-2261	128	26	in	in	ADP
cana-2261	128	27	figure	figure	NOUN
cana-2261	128	28	6	6	NUM
cana-2261	128	29	.	.	PUNCT
cana-2261	129	1	communications	communication	NOUN
cana-2261	129	2	on	on	ADP
cana-2261	129	3	applied	apply	VERB
cana-2261	129	4	nonlinear	nonlinear	ADJ
cana-2261	129	5	analysis	analysis	NOUN
cana-2261	129	6	issn	issn	NOUN
cana-2261	129	7	:	:	PUNCT
cana-2261	129	8	1074	1074	NUM
cana-2261	129	9	-	-	PUNCT
cana-2261	129	10	133x	133x	NUM
cana-2261	129	11	vol	vol	NOUN
cana-2261	129	12	32	32	NUM
cana-2261	129	13	no	no	NOUN
cana-2261	129	14	.	.	PUNCT
cana-2261	130	1	2s	2s	NUM
cana-2261	130	2	(	(	PUNCT
cana-2261	130	3	2025	2025	NUM
cana-2261	130	4	)	)	PUNCT
cana-2261	130	5	163	163	NUM
cana-2261	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	130	7	figure	figure	NOUN
cana-2261	130	8	6	6	NUM
cana-2261	130	9	:	:	PUNCT
cana-2261	130	10	simulation	simulation	NOUN
cana-2261	130	11	results	result	NOUN
cana-2261	130	12	of	of	ADP
cana-2261	130	13	bwt	bwt	PROPN
cana-2261	130	14	-	-	PUNCT
cana-2261	130	15	ga	ga	PROPN
cana-2261	130	16	optimized	optimize	VERB
cana-2261	130	17	dnn	dnn	PROPN
cana-2261	130	18	model	model	NOUN
cana-2261	130	19	and	and	CCONJ
cana-2261	130	20	other	other	ADJ
cana-2261	130	21	machine	machine	NOUN
cana-2261	130	22	learning	learn	VERB
cana-2261	130	23	techniques	technique	NOUN
cana-2261	130	24	using	use	VERB
cana-2261	130	25	accuracy	accuracy	NOUN
cana-2261	130	26	,	,	PUNCT
cana-2261	130	27	precision	precision	NOUN
cana-2261	130	28	and	and	CCONJ
cana-2261	130	29	recall	recall	NOUN
cana-2261	130	30	parameters	parameter	NOUN
cana-2261	130	31	using	use	VERB
cana-2261	130	32	50	50	NUM
cana-2261	130	33	-	-	SYM
cana-2261	130	34	50	50	NUM
cana-2261	130	35	%	%	NOUN
cana-2261	130	36	training	training	NOUN
cana-2261	130	37	-	-	PUNCT
cana-2261	130	38	testing	testing	NOUN
cana-2261	130	39	it	it	PRON
cana-2261	130	40	has	have	AUX
cana-2261	130	41	been	be	AUX
cana-2261	130	42	noted	note	VERB
cana-2261	130	43	that	that	SCONJ
cana-2261	130	44	the	the	DET
cana-2261	130	45	suggested	suggest	VERB
cana-2261	130	46	model	model	NOUN
cana-2261	130	47	outperforms	outperform	VERB
cana-2261	130	48	other	other	ADJ
cana-2261	130	49	methods	method	NOUN
cana-2261	130	50	currently	currently	ADV
cana-2261	130	51	in	in	ADP
cana-2261	130	52	use	use	NOUN
cana-2261	130	53	in	in	ADP
cana-2261	130	54	terms	term	NOUN
cana-2261	130	55	of	of	ADP
cana-2261	130	56	accuracy	accuracy	NOUN
cana-2261	130	57	,	,	PUNCT
cana-2261	130	58	precision	precision	NOUN
cana-2261	130	59	,	,	PUNCT
cana-2261	130	60	and	and	CCONJ
cana-2261	130	61	recall	recall	NOUN
cana-2261	130	62	rates	rate	NOUN
cana-2261	130	63	.	.	PUNCT
cana-2261	131	1	as	as	ADP
cana-2261	131	2	a	a	DET
cana-2261	131	3	result	result	NOUN
cana-2261	131	4	,	,	PUNCT
cana-2261	131	5	it	it	PRON
cana-2261	131	6	is	be	AUX
cana-2261	131	7	claimed	claim	VERB
cana-2261	131	8	that	that	SCONJ
cana-2261	131	9	the	the	DET
cana-2261	131	10	suggested	suggest	VERB
cana-2261	131	11	model	model	NOUN
cana-2261	131	12	is	be	AUX
cana-2261	131	13	one	one	NUM
cana-2261	131	14	of	of	ADP
cana-2261	131	15	the	the	DET
cana-2261	131	16	most	most	ADV
cana-2261	131	17	accurate	accurate	ADJ
cana-2261	131	18	and	and	CCONJ
cana-2261	131	19	efficient	efficient	ADJ
cana-2261	131	20	models	model	NOUN
cana-2261	131	21	for	for	ADP
cana-2261	131	22	processing	process	VERB
cana-2261	131	23	unbalanced	unbalanced	ADJ
cana-2261	131	24	data	datum	NOUN
cana-2261	131	25	and	and	CCONJ
cana-2261	131	26	predicting	predict	VERB
cana-2261	131	27	stroke	stroke	NOUN
cana-2261	131	28	patients	patient	NOUN
cana-2261	131	29	.	.	PUNCT
cana-2261	132	1	additionally	additionally	ADV
cana-2261	132	2	,	,	PUNCT
cana-2261	132	3	it	it	PRON
cana-2261	132	4	is	be	AUX
cana-2261	132	5	asserted	assert	VERB
cana-2261	132	6	that	that	SCONJ
cana-2261	132	7	the	the	DET
cana-2261	132	8	feature	feature	NOUN
cana-2261	132	9	weighting	weight	VERB
cana-2261	132	10	technique	technique	NOUN
cana-2261	132	11	increases	increase	VERB
cana-2261	132	12	the	the	DET
cana-2261	132	13	accuracy	accuracy	NOUN
cana-2261	132	14	of	of	ADP
cana-2261	132	15	predictions	prediction	NOUN
cana-2261	132	16	.	.	PUNCT
cana-2261	133	1	5	5	X
cana-2261	133	2	.	.	X
cana-2261	133	3	conclusions	conclusion	NOUN
cana-2261	133	4	the	the	DET
cana-2261	133	5	capacity	capacity	NOUN
cana-2261	133	6	of	of	ADP
cana-2261	133	7	a	a	DET
cana-2261	133	8	bwt	bwt	PROPN
cana-2261	133	9	-	-	PUNCT
cana-2261	133	10	ga	ga	PROPN
cana-2261	133	11	optimised	optimise	VERB
cana-2261	133	12	dnn	dnn	PROPN
cana-2261	133	13	model	model	NOUN
cana-2261	133	14	to	to	PART
cana-2261	133	15	handle	handle	VERB
cana-2261	133	16	the	the	DET
cana-2261	133	17	imbalance	imbalance	NOUN
cana-2261	133	18	stroke	stroke	NOUN
cana-2261	133	19	illness	illness	NOUN
cana-2261	133	20	dataset	dataset	NOUN
cana-2261	133	21	is	be	AUX
cana-2261	133	22	examined	examine	VERB
cana-2261	133	23	in	in	ADP
cana-2261	133	24	the	the	DET
cana-2261	133	25	present	present	ADJ
cana-2261	133	26	section	section	NOUN
cana-2261	133	27	.	.	PUNCT
cana-2261	134	1	this	this	DET
cana-2261	134	2	chapter	chapter	NOUN
cana-2261	134	3	's	's	PART
cana-2261	134	4	goal	goal	NOUN
cana-2261	134	5	is	be	AUX
cana-2261	134	6	to	to	PART
cana-2261	134	7	more	more	ADV
cana-2261	134	8	precisely	precisely	ADV
cana-2261	134	9	identify	identify	VERB
cana-2261	134	10	the	the	DET
cana-2261	134	11	stroke	stroke	NOUN
cana-2261	134	12	victims	victim	NOUN
cana-2261	134	13	.	.	PUNCT
cana-2261	135	1	in	in	ADP
cana-2261	135	2	order	order	NOUN
cana-2261	135	3	to	to	PART
cana-2261	135	4	do	do	AUX
cana-2261	135	5	this	this	PRON
cana-2261	135	6	,	,	PUNCT
cana-2261	135	7	the	the	DET
cana-2261	135	8	key	key	ADJ
cana-2261	135	9	features	feature	NOUN
cana-2261	135	10	of	of	ADP
cana-2261	135	11	stroke	stroke	NOUN
cana-2261	135	12	disease	disease	NOUN
cana-2261	135	13	are	be	AUX
cana-2261	135	14	identified	identify	VERB
cana-2261	135	15	using	use	VERB
cana-2261	135	16	a	a	DET
cana-2261	135	17	feature	feature	NOUN
cana-2261	135	18	weighting	weighting	NOUN
cana-2261	135	19	technique	technique	NOUN
cana-2261	135	20	called	call	VERB
cana-2261	135	21	bwt	bwt	PROPN
cana-2261	135	22	-	-	PROPN
cana-2261	135	23	ga	ga	PROPN
cana-2261	135	24	.	.	PUNCT
cana-2261	136	1	a	a	DET
cana-2261	136	2	dnn	dnn	PROPN
cana-2261	136	3	technique	technique	NOUN
cana-2261	136	4	is	be	AUX
cana-2261	136	5	then	then	ADV
cana-2261	136	6	applied	apply	VERB
cana-2261	136	7	for	for	ADP
cana-2261	136	8	the	the	DET
cana-2261	136	9	prediction	prediction	NOUN
cana-2261	136	10	job	job	NOUN
cana-2261	136	11	,	,	PUNCT
cana-2261	136	12	resulting	result	VERB
cana-2261	136	13	in	in	ADP
cana-2261	136	14	a	a	DET
cana-2261	136	15	bwt	bwt	PROPN
cana-2261	136	16	-	-	PUNCT
cana-2261	136	17	ga	ga	PROPN
cana-2261	136	18	optimised	optimise	VERB
cana-2261	136	19	dnn	dnn	PROPN
cana-2261	136	20	model	model	NOUN
cana-2261	136	21	.	.	PUNCT
cana-2261	137	1	the	the	DET
cana-2261	137	2	proposed	propose	VERB
cana-2261	137	3	model	model	NOUN
cana-2261	137	4	's	's	PART
cana-2261	137	5	effectiveness	effectiveness	NOUN
cana-2261	137	6	is	be	AUX
cana-2261	137	7	evaluated	evaluate	VERB
cana-2261	137	8	on	on	ADP
cana-2261	137	9	43600	43600	NUM
cana-2261	137	10	patient	patient	NOUN
cana-2261	137	11	records	record	NOUN
cana-2261	137	12	.	.	PUNCT
cana-2261	138	1	it	it	PRON
cana-2261	138	2	is	be	AUX
cana-2261	138	3	discovered	discover	VERB
cana-2261	138	4	that	that	SCONJ
cana-2261	138	5	stroke	stroke	NOUN
cana-2261	138	6	dataset	dataset	VERB
cana-2261	138	7	also	also	ADV
cana-2261	138	8	having	have	VERB
cana-2261	138	9	missing	miss	VERB
cana-2261	138	10	value	value	NOUN
cana-2261	138	11	problem	problem	NOUN
cana-2261	138	12	and	and	CCONJ
cana-2261	138	13	this	this	DET
cana-2261	138	14	problem	problem	NOUN
cana-2261	138	15	is	be	AUX
cana-2261	138	16	repaired	repair	VERB
cana-2261	138	17	utilising	utilise	VERB
cana-2261	138	18	mean	mean	ADJ
cana-2261	138	19	value	value	NOUN
cana-2261	138	20	of	of	ADP
cana-2261	138	21	each	each	DET
cana-2261	138	22	feature	feature	NOUN
cana-2261	138	23	of	of	ADP
cana-2261	138	24	stroke	stroke	NOUN
cana-2261	138	25	dataset	dataset	VERB
cana-2261	138	26	.	.	PUNCT
cana-2261	139	1	the	the	DET
cana-2261	139	2	efficacy	efficacy	NOUN
cana-2261	139	3	of	of	ADP
cana-2261	139	4	suggested	suggest	VERB
cana-2261	139	5	model	model	NOUN
cana-2261	139	6	is	be	AUX
cana-2261	139	7	tested	test	VERB
cana-2261	139	8	by	by	ADP
cana-2261	139	9	accuracy	accuracy	NOUN
cana-2261	139	10	,	,	PUNCT
cana-2261	139	11	precision	precision	NOUN
cana-2261	139	12	and	and	CCONJ
cana-2261	139	13	recall	recall	NOUN
cana-2261	139	14	measurements	measurement	NOUN
cana-2261	139	15	.	.	PUNCT
cana-2261	140	1	additionally	additionally	ADV
cana-2261	140	2	,	,	PUNCT
cana-2261	140	3	two	two	NUM
cana-2261	140	4	training	training	NOUN
cana-2261	140	5	techniques	technique	NOUN
cana-2261	140	6	to	to	PART
cana-2261	140	7	train	train	VERB
cana-2261	140	8	the	the	DET
cana-2261	140	9	prediction	prediction	NOUN
cana-2261	140	10	model	model	NOUN
cana-2261	140	11	,	,	PUNCT
cana-2261	140	12	50%-50	50%-50	NUM
cana-2261	140	13	%	%	NOUN
cana-2261	140	14	training	training	NOUN
cana-2261	140	15	-	-	PUNCT
cana-2261	140	16	testing	testing	NOUN
cana-2261	140	17	and	and	CCONJ
cana-2261	140	18	10	10	NUM
cana-2261	140	19	-	-	ADJ
cana-2261	140	20	fold	fold	ADJ
cana-2261	140	21	cross	cross	ADJ
cana-2261	140	22	-	-	ADJ
cana-2261	140	23	folding	folding	ADJ
cana-2261	140	24	are	be	AUX
cana-2261	140	25	also	also	ADV
cana-2261	140	26	taken	take	VERB
cana-2261	140	27	into	into	ADP
cana-2261	140	28	consideration	consideration	NOUN
cana-2261	140	29	.	.	PUNCT
cana-2261	141	1	the	the	DET
cana-2261	141	2	suggested	suggest	VERB
cana-2261	141	3	model	model	NOUN
cana-2261	141	4	's	's	PART
cana-2261	141	5	simulation	simulation	NOUN
cana-2261	141	6	results	result	NOUN
cana-2261	141	7	are	be	AUX
cana-2261	141	8	compared	compare	VERB
cana-2261	141	9	to	to	ADP
cana-2261	141	10	a	a	DET
cana-2261	141	11	number	number	NOUN
cana-2261	141	12	of	of	ADP
cana-2261	141	13	well	well	ADV
cana-2261	141	14	-	-	PUNCT
cana-2261	141	15	liked	like	VERB
cana-2261	141	16	,	,	PUNCT
cana-2261	141	17	currently	currently	ADV
cana-2261	141	18	available	available	ADJ
cana-2261	141	19	machine	machine	NOUN
cana-2261	141	20	learning	learning	NOUN
cana-2261	141	21	models	model	NOUN
cana-2261	141	22	and	and	CCONJ
cana-2261	141	23	methodologies	methodology	NOUN
cana-2261	141	24	.	.	PUNCT
cana-2261	142	1	according	accord	VERB
cana-2261	142	2	to	to	ADP
cana-2261	142	3	reports	report	NOUN
cana-2261	142	4	,	,	PUNCT
cana-2261	142	5	the	the	DET
cana-2261	142	6	suggested	suggest	VERB
cana-2261	142	7	bwt	bwt	PROPN
cana-2261	142	8	-	-	PUNCT
cana-2261	142	9	ga	ga	PROPN
cana-2261	142	10	optimised	optimise	VERB
cana-2261	142	11	dnn	dnn	PROPN
cana-2261	142	12	model	model	NOUN
cana-2261	142	13	performs	perform	VERB
cana-2261	142	14	better	well	ADJ
cana-2261	142	15	than	than	ADP
cana-2261	142	16	other	other	ADJ
cana-2261	142	17	methods	method	NOUN
cana-2261	142	18	already	already	ADV
cana-2261	142	19	in	in	ADP
cana-2261	142	20	use	use	NOUN
cana-2261	142	21	.	.	PUNCT
cana-2261	143	1	in	in	ADP
cana-2261	143	2	summary	summary	NOUN
cana-2261	143	3	,	,	PUNCT
cana-2261	143	4	the	the	DET
cana-2261	143	5	suggested	suggest	VERB
cana-2261	143	6	bwt	bwt	PROPN
cana-2261	143	7	-	-	PUNCT
cana-2261	143	8	ga	ga	PROPN
cana-2261	143	9	optimised	optimise	VERB
cana-2261	143	10	dnn	dnn	PROPN
cana-2261	143	11	provides	provide	VERB
cana-2261	143	12	a	a	DET
cana-2261	143	13	practical	practical	ADJ
cana-2261	143	14	and	and	CCONJ
cana-2261	143	15	efficient	efficient	ADJ
cana-2261	143	16	way	way	NOUN
cana-2261	143	17	to	to	PART
cana-2261	143	18	deal	deal	VERB
cana-2261	143	19	with	with	ADP
cana-2261	143	20	imbalanced	imbalanced	ADJ
cana-2261	143	21	stroke	stroke	NOUN
cana-2261	143	22	data	datum	NOUN
cana-2261	143	23	.	.	PUNCT
cana-2261	144	1	references	reference	NOUN
cana-2261	144	2	[	[	X
cana-2261	144	3	1	1	NUM
cana-2261	144	4	]	]	X
cana-2261	144	5	khatun	khatun	PROPN
cana-2261	144	6	,	,	PUNCT
cana-2261	144	7	mirza	mirza	PROPN
cana-2261	144	8	akhi	akhi	PROPN
cana-2261	144	9	,	,	PUNCT
cana-2261	144	10	sanober	sanober	PROPN
cana-2261	144	11	farheen	farheen	PROPN
cana-2261	144	12	memon	memon	PROPN
cana-2261	144	13	,	,	PUNCT
cana-2261	144	14	ciarán	ciarán	NOUN
cana-2261	144	15	eising	eise	VERB
cana-2261	144	16	,	,	PUNCT
cana-2261	144	17	and	and	CCONJ
cana-2261	144	18	lubna	lubna	PROPN
cana-2261	144	19	luxmi	luxmi	PROPN
cana-2261	144	20	dhirani	dhirani	PROPN
cana-2261	144	21	.	.	PUNCT
cana-2261	145	1	"	"	PUNCT
cana-2261	145	2	machine	machine	NOUN
cana-2261	145	3	learning	learning	NOUN
cana-2261	145	4	for	for	ADP
cana-2261	145	5	healthcare	healthcare	NOUN
cana-2261	145	6	-	-	PUNCT
cana-2261	145	7	iot	iot	PROPN
cana-2261	145	8	security	security	NOUN
cana-2261	145	9	:	:	PUNCT
cana-2261	145	10	a	a	DET
cana-2261	145	11	review	review	NOUN
cana-2261	145	12	and	and	CCONJ
cana-2261	145	13	risk	risk	NOUN
cana-2261	145	14	mitigation	mitigation	NOUN
cana-2261	145	15	.	.	PUNCT
cana-2261	145	16	"	"	PUNCT
cana-2261	145	17	ieee	ieee	NOUN
cana-2261	145	18	access	access	NOUN
cana-2261	145	19	(	(	PUNCT
cana-2261	145	20	2023	2023	NUM
cana-2261	145	21	)	)	PUNCT
cana-2261	145	22	.	.	PUNCT
cana-2261	146	1	[	[	X
cana-2261	146	2	2	2	NUM
cana-2261	146	3	]	]	PUNCT
cana-2261	146	4	veera	veera	NOUN
cana-2261	146	5	boopathy	boopathy	PROPN
cana-2261	146	6	,	,	PUNCT
cana-2261	146	7	e.	e.	PROPN
cana-2261	146	8	,	,	PUNCT
cana-2261	146	9	peer	peer	NOUN
cana-2261	146	10	mohamed	mohamed	PROPN
cana-2261	146	11	appa	appa	PROPN
cana-2261	146	12	,	,	PUNCT
cana-2261	146	13	m.a.y	m.a.y	NOUN
cana-2261	146	14	.	.	PUNCT
cana-2261	146	15	,	,	PUNCT
cana-2261	146	16	pragadeswaran	pragadeswaran	PROPN
cana-2261	146	17	,	,	PUNCT
cana-2261	146	18	s.	s.	PROPN
cana-2261	146	19	,	,	PUNCT
cana-2261	146	20	karthick	karthick	PROPN
cana-2261	146	21	raja	raja	PROPN
cana-2261	146	22	,	,	PUNCT
cana-2261	146	23	d.	d.	PROPN
cana-2261	146	24	,	,	PUNCT
cana-2261	146	25	gowtham	gowtham	PROPN
cana-2261	146	26	,	,	PUNCT
cana-2261	146	27	m.	m.	NOUN
cana-2261	146	28	,	,	PUNCT
cana-2261	146	29	kishore	kishore	PROPN
cana-2261	146	30	,	,	PUNCT
cana-2261	146	31	r.	r.	PROPN
cana-2261	146	32	,	,	PUNCT
cana-2261	146	33	vimalraj	vimalraj	VERB
cana-2261	146	34	,	,	PUNCT
cana-2261	146	35	p.	p.	NOUN
cana-2261	146	36	,	,	PUNCT
cana-2261	146	37	&	&	CCONJ
cana-2261	146	38	vissnuvardhan	vissnuvardhan	PROPN
cana-2261	146	39	,	,	PUNCT
cana-2261	146	40	k.	k.	PROPN
cana-2261	146	41	(	(	PUNCT
cana-2261	146	42	2024	2024	NUM
cana-2261	146	43	)	)	PUNCT
cana-2261	146	44	.	.	PUNCT
cana-2261	147	1	a	a	DET
cana-2261	147	2	data	datum	NOUN
cana-2261	147	3	driven	drive	VERB
cana-2261	147	4	approach	approach	NOUN
cana-2261	147	5	through	through	ADP
cana-2261	147	6	iomt	iomt	PROPN
cana-2261	147	7	based	base	VERB
cana-2261	147	8	patient	patient	ADJ
cana-2261	147	9	healthcare	healthcare	NOUN
cana-2261	147	10	monitoring	monitoring	NOUN
cana-2261	147	11	system	system	NOUN
cana-2261	147	12	.	.	PUNCT
cana-2261	148	1	archives	archive	NOUN
cana-2261	148	2	for	for	ADP
cana-2261	148	3	technical	technical	ADJ
cana-2261	148	4	sciences	science	NOUN
cana-2261	148	5	,	,	PUNCT
cana-2261	148	6	2(31	2(31	NUM
cana-2261	148	7	)	)	PUNCT
cana-2261	148	8	,	,	PUNCT
cana-2261	148	9	9	9	NUM
cana-2261	148	10	-	-	SYM
cana-2261	148	11	15	15	NUM
cana-2261	148	12	.	.	PUNCT
cana-2261	149	1	[	[	X
cana-2261	149	2	3	3	NUM
cana-2261	149	3	]	]	X
cana-2261	149	4	sharma	sharma	PROPN
cana-2261	149	5	,	,	PUNCT
cana-2261	149	6	yojana	yojana	PROPN
cana-2261	149	7	,	,	PUNCT
cana-2261	149	8	shashwati	shashwati	PROPN
cana-2261	149	9	ray	ray	PROPN
cana-2261	149	10	,	,	PUNCT
cana-2261	149	11	and	and	CCONJ
cana-2261	149	12	om	om	PROPN
cana-2261	149	13	prakash	prakash	PROPN
cana-2261	149	14	yadav	yadav	PROPN
cana-2261	149	15	.	.	PUNCT
cana-2261	150	1	"	"	PUNCT
cana-2261	150	2	applications	application	NOUN
cana-2261	150	3	of	of	ADP
cana-2261	150	4	machine	machine	NOUN
cana-2261	150	5	learning	learn	VERB
cana-2261	150	6	algorithms	algorithm	NOUN
cana-2261	150	7	in	in	ADP
cana-2261	150	8	fetal	fetal	ADJ
cana-2261	150	9	ecg	ecg	PROPN
cana-2261	150	10	enhancement	enhancement	NOUN
cana-2261	150	11	for	for	ADP
cana-2261	150	12	e	e	NOUN
cana-2261	150	13	-	-	NOUN
cana-2261	150	14	healthcare	healthcare	NOUN
cana-2261	150	15	.	.	PUNCT
cana-2261	150	16	"	"	PUNCT
cana-2261	151	1	in	in	ADP
cana-2261	151	2	intelligent	intelligent	ADJ
cana-2261	151	3	interactive	interactive	ADJ
cana-2261	151	4	multimedia	multimedia	NOUN
cana-2261	151	5	systems	system	NOUN
cana-2261	151	6	for	for	ADP
cana-2261	151	7	e	e	NOUN
cana-2261	151	8	-	-	NOUN
cana-2261	151	9	healthcare	healthcare	NOUN
cana-2261	151	10	applications	application	NOUN
cana-2261	151	11	,	,	PUNCT
cana-2261	151	12	pp	pp	ADP
cana-2261	151	13	.	.	PUNCT
cana-2261	151	14	199	199	NUM
cana-2261	151	15	-	-	SYM
cana-2261	151	16	222	222	NUM
cana-2261	151	17	.	.	PUNCT
cana-2261	151	18	apple	apple	NOUN
cana-2261	151	19	academic	academic	ADJ
cana-2261	151	20	press	press	NOUN
cana-2261	151	21	,	,	PUNCT
cana-2261	151	22	2022	2022	NUM
cana-2261	151	23	.	.	PUNCT
cana-2261	152	1	communications	communication	NOUN
cana-2261	152	2	on	on	ADP
cana-2261	152	3	applied	apply	VERB
cana-2261	152	4	nonlinear	nonlinear	ADJ
cana-2261	152	5	analysis	analysis	NOUN
cana-2261	152	6	issn	issn	NOUN
cana-2261	152	7	:	:	PUNCT
cana-2261	152	8	1074	1074	NUM
cana-2261	152	9	-	-	PUNCT
cana-2261	152	10	133x	133x	NUM
cana-2261	152	11	vol	vol	NOUN
cana-2261	152	12	32	32	NUM
cana-2261	152	13	no	no	NOUN
cana-2261	152	14	.	.	PUNCT
cana-2261	153	1	2s	2s	NUM
cana-2261	153	2	(	(	PUNCT
cana-2261	153	3	2025	2025	NUM
cana-2261	153	4	)	)	PUNCT
cana-2261	153	5	164	164	NUM
cana-2261	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2261	154	1	[	[	X
cana-2261	154	2	4	4	X
cana-2261	154	3	]	]	PUNCT
cana-2261	154	4	s.	s.	PROPN
cana-2261	154	5	neelima	neelima	PROPN
cana-2261	154	6	,	,	PUNCT
cana-2261	154	7	manoj	manoj	PROPN
cana-2261	154	8	govindaraj	govindaraj	NOUN
cana-2261	154	9	,	,	PUNCT
cana-2261	154	10	dr.k	dr.k	ADV
cana-2261	154	11	.	.	PUNCT
cana-2261	155	1	subramani	subramani	PROPN
cana-2261	155	2	,	,	PUNCT
cana-2261	155	3	ahmed	ahmed	PROPN
cana-2261	155	4	alkhayyat	alkhayyat	PROPN
cana-2261	155	5	,	,	PUNCT
cana-2261	155	6	&	&	CCONJ
cana-2261	155	7	dr	dr	PROPN
cana-2261	155	8	.	.	PROPN
cana-2261	155	9	chippy	chippy	PROPN
cana-2261	155	10	mohan	mohan	PROPN
cana-2261	155	11	.	.	PUNCT
cana-2261	156	1	(	(	PUNCT
cana-2261	156	2	2024	2024	NUM
cana-2261	156	3	)	)	PUNCT
cana-2261	156	4	.	.	PUNCT
cana-2261	157	1	factors	factor	NOUN
cana-2261	157	2	influencing	influence	VERB
cana-2261	157	3	data	datum	NOUN
cana-2261	157	4	utilization	utilization	NOUN
cana-2261	157	5	and	and	CCONJ
cana-2261	157	6	performance	performance	NOUN
cana-2261	157	7	of	of	ADP
cana-2261	157	8	health	health	NOUN
cana-2261	157	9	management	management	NOUN
cana-2261	157	10	information	information	NOUN
cana-2261	157	11	systems	system	NOUN
cana-2261	157	12	:	:	PUNCT
cana-2261	157	13	a	a	DET
cana-2261	157	14	case	case	NOUN
cana-2261	157	15	study	study	NOUN
cana-2261	157	16	.	.	PUNCT
cana-2261	158	1	indian	indian	PROPN
cana-2261	158	2	journal	journal	PROPN
cana-2261	158	3	of	of	ADP
cana-2261	158	4	information	information	NOUN
cana-2261	158	5	sources	source	NOUN
cana-2261	158	6	and	and	CCONJ
cana-2261	158	7	services	service	NOUN
cana-2261	158	8	,	,	PUNCT
cana-2261	158	9	14(2	14(2	NUM
cana-2261	158	10	)	)	PUNCT
cana-2261	158	11	,	,	PUNCT
cana-2261	158	12	146–152	146–152	NUM
cana-2261	158	13	.	.	PUNCT
cana-2261	159	1	https://doi.org/10.51983/ijiss-2024.14.2.21	https://doi.org/10.51983/ijiss-2024.14.2.21	NOUN
cana-2261	159	2	[	[	X
cana-2261	159	3	5	5	NUM
cana-2261	159	4	]	]	X
cana-2261	159	5	karthikeyan	karthikeyan	PROPN
cana-2261	159	6	,	,	PUNCT
cana-2261	159	7	b.	b.	PROPN
cana-2261	159	8	,	,	PUNCT
cana-2261	159	9	k.	k.	PROPN
cana-2261	159	10	nithya	nithya	PROPN
cana-2261	159	11	,	,	PUNCT
cana-2261	159	12	ahmed	ahmed	PROPN
cana-2261	159	13	alkhayyat	alkhayyat	PROPN
cana-2261	159	14	,	,	PUNCT
cana-2261	159	15	and	and	CCONJ
cana-2261	159	16	yousif	yousif	PROPN
cana-2261	159	17	kerrar	kerrar	PROPN
cana-2261	159	18	yousif	yousif	PROPN
cana-2261	159	19	.	.	PUNCT
cana-2261	160	1	"	"	PUNCT
cana-2261	160	2	artificial	artificial	ADJ
cana-2261	160	3	intelligence	intelligence	NOUN
cana-2261	160	4	enabled	enable	VERB
cana-2261	160	5	decision	decision	NOUN
cana-2261	160	6	support	support	NOUN
cana-2261	160	7	system	system	NOUN
cana-2261	160	8	on	on	ADP
cana-2261	160	9	e	e	NOUN
cana-2261	160	10	-	-	PROPN
cana-2261	160	11	healthcare	healthcare	NOUN
cana-2261	160	12	environment	environment	NOUN
cana-2261	160	13	.	.	PUNCT
cana-2261	160	14	"	"	PUNCT
cana-2261	161	1	intelligent	intelligent	ADJ
cana-2261	161	2	automation	automation	NOUN
cana-2261	161	3	&	&	CCONJ
cana-2261	161	4	soft	soft	ADJ
cana-2261	161	5	computing	computing	NOUN
cana-2261	161	6	36	36	NUM
cana-2261	161	7	,	,	PUNCT
cana-2261	161	8	no	no	INTJ
cana-2261	161	9	.	.	NOUN
cana-2261	161	10	2	2	NUM
cana-2261	161	11	(	(	PUNCT
cana-2261	161	12	2023	2023	NUM
cana-2261	161	13	)	)	PUNCT
cana-2261	161	14	.	.	PUNCT
cana-2261	162	1	[	[	X
cana-2261	162	2	6	6	NUM
cana-2261	162	3	]	]	PUNCT
cana-2261	162	4	dr.r	dr.r	NOUN
cana-2261	162	5	.	.	PUNCT
cana-2261	162	6	mohandas	mohandas	PROPN
cana-2261	162	7	,	,	PUNCT
cana-2261	162	8	dr.s	dr.s	PROPN
cana-2261	162	9	.	.	PUNCT
cana-2261	163	1	veena	veena	PROPN
cana-2261	163	2	,	,	PUNCT
cana-2261	163	3	g.	g.	PROPN
cana-2261	163	4	kirubasri	kirubasri	PROPN
cana-2261	163	5	,	,	PUNCT
cana-2261	163	6	i.	i.	PROPN
cana-2261	163	7	thusnavis	thusnavis	PROPN
cana-2261	163	8	bella	bella	PROPN
cana-2261	163	9	mary	mary	PROPN
cana-2261	163	10	,	,	PUNCT
cana-2261	163	11	&	&	CCONJ
cana-2261	163	12	dr.r	dr.r	NOUN
cana-2261	163	13	.	.	PUNCT
cana-2261	164	1	udayakumar	udayakumar	PROPN
cana-2261	164	2	.	.	PUNCT
cana-2261	165	1	(	(	PUNCT
cana-2261	165	2	2024	2024	NUM
cana-2261	165	3	)	)	PUNCT
cana-2261	165	4	.	.	PUNCT
cana-2261	166	1	federated	federate	VERB
cana-2261	166	2	learning	learning	NOUN
cana-2261	166	3	with	with	ADP
cana-2261	166	4	homomorphic	homomorphic	ADJ
cana-2261	166	5	encryption	encryption	NOUN
cana-2261	166	6	for	for	ADP
cana-2261	166	7	ensuring	ensure	VERB
cana-2261	166	8	privacy	privacy	NOUN
cana-2261	166	9	in	in	ADP
cana-2261	166	10	medical	medical	ADJ
cana-2261	166	11	data	datum	NOUN
cana-2261	166	12	.	.	PUNCT
cana-2261	167	1	indian	indian	PROPN
cana-2261	167	2	journal	journal	PROPN
cana-2261	167	3	of	of	ADP
cana-2261	167	4	information	information	NOUN
cana-2261	167	5	sources	source	NOUN
cana-2261	167	6	and	and	CCONJ
cana-2261	167	7	services	service	NOUN
cana-2261	167	8	,	,	PUNCT
cana-2261	167	9	14(2	14(2	NUM
cana-2261	167	10	)	)	PUNCT
cana-2261	167	11	,	,	PUNCT
cana-2261	167	12	17–23	17–23	NUM
cana-2261	167	13	.	.	PUNCT
cana-2261	168	1	https://doi.org/10.51983/ijiss-2024.14.2.03	https://doi.org/10.51983/ijiss-2024.14.2.03	PROPN
cana-2261	168	2	[	[	X
cana-2261	168	3	7	7	NUM
cana-2261	168	4	]	]	X
cana-2261	168	5	alnumay	alnumay	PROPN
cana-2261	168	6	,	,	PUNCT
cana-2261	168	7	waleed	waleed	PROPN
cana-2261	168	8	s.	s.	PROPN
cana-2261	169	1	"	"	PUNCT
cana-2261	169	2	the	the	DET
cana-2261	169	3	past	past	ADJ
cana-2261	169	4	and	and	CCONJ
cana-2261	169	5	future	future	ADJ
cana-2261	169	6	trends	trend	NOUN
cana-2261	169	7	in	in	ADP
cana-2261	169	8	iot	iot	PROPN
cana-2261	169	9	research	research	NOUN
cana-2261	169	10	.	.	PUNCT
cana-2261	169	11	"	"	PUNCT
cana-2261	170	1	national	national	ADJ
cana-2261	170	2	journal	journal	NOUN
cana-2261	170	3	of	of	ADP
cana-2261	170	4	antennas	antenna	NOUN
cana-2261	170	5	and	and	CCONJ
cana-2261	170	6	propagation	propagation	NOUN
cana-2261	170	7	6.1	6.1	NUM
cana-2261	170	8	(	(	PUNCT
cana-2261	170	9	2024	2024	NUM
cana-2261	170	10	):	):	PUNCT
cana-2261	170	11	13	13	NUM
cana-2261	170	12	-	-	SYM
cana-2261	170	13	22	22	NUM
cana-2261	170	14	.	.	PUNCT
cana-2261	171	1	[	[	X
cana-2261	171	2	8	8	NUM
cana-2261	171	3	]	]	X
cana-2261	171	4	madhavi	madhavi	PROPN
cana-2261	171	5	,	,	PUNCT
cana-2261	171	6	m.	m.	NOUN
cana-2261	171	7	,	,	PUNCT
cana-2261	171	8	sasirooba	sasirooba	PROPN
cana-2261	171	9	,	,	PUNCT
cana-2261	171	10	t.	t.	PROPN
cana-2261	171	11	,	,	PUNCT
cana-2261	171	12	&	&	CCONJ
cana-2261	171	13	kumar	kumar	PROPN
cana-2261	171	14	,	,	PUNCT
cana-2261	171	15	g.	g.	PROPN
cana-2261	171	16	k.	k.	PROPN
cana-2261	171	17	(	(	PUNCT
cana-2261	171	18	2023	2023	NUM
cana-2261	171	19	)	)	PUNCT
cana-2261	171	20	.	.	PUNCT
cana-2261	172	1	hiding	hide	VERB
cana-2261	172	2	sensitive	sensitive	ADJ
cana-2261	172	3	medical	medical	ADJ
cana-2261	172	4	data	datum	NOUN
cana-2261	172	5	using	use	VERB
cana-2261	172	6	simple	simple	ADJ
cana-2261	172	7	and	and	CCONJ
cana-2261	172	8	pre	pre	ADJ
cana-2261	172	9	-	-	ADJ
cana-2261	172	10	large	large	ADJ
cana-2261	172	11	rain	rain	NOUN
cana-2261	172	12	optimization	optimization	NOUN
cana-2261	172	13	algorithm	algorithm	NOUN
cana-2261	172	14	through	through	ADP
cana-2261	172	15	data	datum	NOUN
cana-2261	172	16	removal	removal	NOUN
cana-2261	172	17	for	for	ADP
cana-2261	172	18	e	e	NOUN
cana-2261	172	19	-	-	NOUN
cana-2261	172	20	health	health	NOUN
cana-2261	172	21	system	system	NOUN
cana-2261	172	22	.	.	PUNCT
cana-2261	173	1	journal	journal	PROPN
cana-2261	173	2	of	of	ADP
cana-2261	173	3	internet	internet	NOUN
cana-2261	173	4	services	service	NOUN
cana-2261	173	5	and	and	CCONJ
cana-2261	173	6	information	information	NOUN
cana-2261	173	7	security	security	NOUN
cana-2261	173	8	,	,	PUNCT
cana-2261	173	9	13(2	13(2	PROPN
cana-2261	173	10	)	)	PUNCT
cana-2261	173	11	,	,	PUNCT
cana-2261	173	12	177	177	NUM
cana-2261	173	13	-	-	SYM
cana-2261	173	14	192	192	NUM
cana-2261	173	15	[	[	X
cana-2261	173	16	9	9	NUM
cana-2261	173	17	]	]	SYM
cana-2261	173	18	sworna	sworna	NOUN
cana-2261	173	19	,	,	PUNCT
cana-2261	173	20	nabila	nabila	PROPN
cana-2261	173	21	sabrin	sabrin	PROPN
cana-2261	173	22	,	,	PUNCT
cana-2261	173	23	akm	akm	PROPN
cana-2261	173	24	muzahidul	muzahidul	PROPN
cana-2261	173	25	islam	islam	PROPN
cana-2261	173	26	,	,	PUNCT
cana-2261	173	27	swakkhar	swakkhar	NOUN
cana-2261	173	28	shatabda	shatabda	NOUN
cana-2261	173	29	,	,	PUNCT
cana-2261	173	30	and	and	CCONJ
cana-2261	173	31	salekul	salekul	PROPN
cana-2261	173	32	islam	islam	PROPN
cana-2261	173	33	.	.	PUNCT
cana-2261	174	1	"	"	PUNCT
cana-2261	174	2	towards	towards	ADP
cana-2261	174	3	development	development	NOUN
cana-2261	174	4	of	of	ADP
cana-2261	174	5	iot	iot	PROPN
cana-2261	174	6	-	-	PUNCT
cana-2261	174	7	ml	ml	ADV
cana-2261	174	8	driven	drive	VERB
cana-2261	174	9	healthcare	healthcare	NOUN
cana-2261	174	10	systems	system	NOUN
cana-2261	174	11	:	:	PUNCT
cana-2261	174	12	a	a	DET
cana-2261	174	13	survey	survey	NOUN
cana-2261	174	14	.	.	PUNCT
cana-2261	174	15	"	"	PUNCT
cana-2261	175	1	journal	journal	NOUN
cana-2261	175	2	of	of	ADP
cana-2261	175	3	network	network	NOUN
cana-2261	175	4	and	and	CCONJ
cana-2261	175	5	computer	computer	NOUN
cana-2261	175	6	applications	application	NOUN
cana-2261	175	7	196	196	NUM
cana-2261	175	8	(	(	PUNCT
cana-2261	175	9	2021	2021	NUM
cana-2261	175	10	):	):	PUNCT
cana-2261	175	11	103244	103244	NUM
cana-2261	175	12	.	.	PUNCT
cana-2261	176	1	[	[	X
cana-2261	176	2	10	10	NUM
cana-2261	176	3	]	]	X
cana-2261	176	4	kodric	kodric	PROPN
cana-2261	176	5	,	,	PUNCT
cana-2261	176	6	z.	z.	PROPN
cana-2261	176	7	,	,	PUNCT
cana-2261	176	8	vrhovec	vrhovec	PROPN
cana-2261	176	9	,	,	PUNCT
cana-2261	176	10	s.	s.	PROPN
cana-2261	176	11	,	,	PUNCT
cana-2261	176	12	&	&	CCONJ
cana-2261	176	13	jelovcan	jelovcan	PROPN
cana-2261	176	14	,	,	PUNCT
cana-2261	176	15	l.	l.	PROPN
cana-2261	176	16	(	(	PUNCT
cana-2261	176	17	2021	2021	NUM
cana-2261	176	18	)	)	PUNCT
cana-2261	176	19	.	.	PUNCT
cana-2261	177	1	securing	secure	VERB
cana-2261	177	2	edge	edge	NOUN
cana-2261	177	3	-	-	PUNCT
cana-2261	177	4	enabled	enable	VERB
cana-2261	177	5	smart	smart	ADJ
cana-2261	177	6	healthcare	healthcare	NOUN
cana-2261	177	7	systems	system	NOUN
cana-2261	177	8	with	with	ADP
cana-2261	177	9	blockchain	blockchain	PROPN
cana-2261	177	10	:	:	PUNCT
cana-2261	177	11	a	a	DET
cana-2261	177	12	systematic	systematic	ADJ
cana-2261	177	13	literature	literature	PROPN
cana-2261	177	14	review	review	PROPN
cana-2261	177	15	.	.	PUNCT
cana-2261	178	1	journal	journal	PROPN
cana-2261	178	2	of	of	ADP
cana-2261	178	3	internet	internet	NOUN
cana-2261	178	4	services	service	NOUN
cana-2261	178	5	and	and	CCONJ
cana-2261	178	6	information	information	NOUN
cana-2261	178	7	security	security	NOUN
cana-2261	178	8	,	,	PUNCT
cana-2261	178	9	11(4	11(4	NUM
cana-2261	178	10	)	)	PUNCT
cana-2261	178	11	,	,	PUNCT
cana-2261	178	12	19	19	NUM
cana-2261	178	13	-	-	SYM
cana-2261	178	14	32	32	NUM
cana-2261	178	15	.	.	PUNCT
cana-2261	179	1	[	[	X
cana-2261	179	2	11	11	NUM
cana-2261	179	3	]	]	X
cana-2261	179	4	janani	janani	PROPN
cana-2261	179	5	,	,	PUNCT
cana-2261	179	6	s.	s.	PROPN
cana-2261	179	7	,	,	PUNCT
cana-2261	179	8	r.	r.	PROPN
cana-2261	179	9	dilip	dilip	PROPN
cana-2261	179	10	,	,	PUNCT
cana-2261	179	11	suryansh	suryansh	PROPN
cana-2261	179	12	bhaskar	bhaskar	PROPN
cana-2261	179	13	talukdar	talukdar	NOUN
cana-2261	179	14	,	,	PUNCT
cana-2261	179	15	veera	veera	NOUN
cana-2261	179	16	bhaskar	bhaskar	NOUN
cana-2261	179	17	talukdar	talukdar	NOUN
cana-2261	179	18	,	,	PUNCT
cana-2261	179	19	krishna	krishna	PROPN
cana-2261	179	20	nand	nand	PROPN
cana-2261	179	21	mishra	mishra	PROPN
cana-2261	179	22	,	,	PUNCT
cana-2261	179	23	and	and	CCONJ
cana-2261	179	24	dharmesh	dharmesh	ADJ
cana-2261	179	25	dhabliya	dhabliya	NOUN
cana-2261	179	26	.	.	PUNCT
cana-2261	180	1	"	"	PUNCT
cana-2261	180	2	iot	iot	ADJ
cana-2261	180	3	and	and	CCONJ
cana-2261	180	4	machine	machine	NOUN
cana-2261	180	5	learning	learning	NOUN
cana-2261	180	6	in	in	ADP
cana-2261	180	7	smart	smart	ADJ
cana-2261	180	8	city	city	NOUN
cana-2261	180	9	healthcare	healthcare	NOUN
cana-2261	180	10	systems	system	NOUN
cana-2261	180	11	.	.	PUNCT
cana-2261	180	12	"	"	PUNCT
cana-2261	181	1	in	in	ADP
cana-2261	181	2	handbook	handbook	NOUN
cana-2261	181	3	of	of	ADP
cana-2261	181	4	research	research	NOUN
cana-2261	181	5	on	on	ADP
cana-2261	181	6	datadriven	datadriven	ADJ
cana-2261	181	7	mathematical	mathematical	ADJ
cana-2261	181	8	modeling	modeling	NOUN
cana-2261	181	9	in	in	ADP
cana-2261	181	10	smart	smart	ADJ
cana-2261	181	11	cities	city	NOUN
cana-2261	181	12	,	,	PUNCT
cana-2261	181	13	pp	pp	ADJ
cana-2261	181	14	.	.	PUNCT
cana-2261	182	1	262	262	NUM
cana-2261	182	2	-	-	SYM
cana-2261	182	3	279	279	NUM
cana-2261	182	4	.	.	PUNCT
cana-2261	183	1	igi	igi	PROPN
cana-2261	183	2	global	global	PROPN
cana-2261	183	3	,	,	PUNCT
cana-2261	183	4	2023	2023	NUM
cana-2261	183	5	.	.	PUNCT
cana-2261	184	1	[	[	X
cana-2261	184	2	12	12	NUM
cana-2261	184	3	]	]	X
cana-2261	184	4	sofiene	sofiene	NOUN
cana-2261	184	5	,	,	PUNCT
cana-2261	184	6	m.	m.	NOUN
cana-2261	184	7	,	,	PUNCT
cana-2261	184	8	souhaila	souhaila	NOUN
cana-2261	184	9	,	,	PUNCT
cana-2261	184	10	b.	b.	PROPN
cana-2261	184	11	,	,	PUNCT
cana-2261	184	12	&	&	CCONJ
cana-2261	184	13	souhir	souhir	PROPN
cana-2261	184	14	,	,	PUNCT
cana-2261	184	15	c.	c.	PROPN
cana-2261	184	16	(	(	PUNCT
cana-2261	184	17	2024	2024	NUM
cana-2261	184	18	)	)	PUNCT
cana-2261	184	19	.	.	PUNCT
cana-2261	185	1	machine	machine	NOUN
cana-2261	185	2	learning	learn	VERB
cana-2261	185	3	for	for	ADP
cana-2261	185	4	early	early	ADJ
cana-2261	185	5	diabetes	diabetes	NOUN
cana-2261	185	6	detection	detection	NOUN
cana-2261	185	7	and	and	CCONJ
cana-2261	185	8	diagnosis	diagnosis	NOUN
cana-2261	185	9	.	.	PUNCT
cana-2261	186	1	journal	journal	NOUN
cana-2261	186	2	of	of	ADP
cana-2261	186	3	wireless	wireless	ADJ
cana-2261	186	4	mobile	mobile	ADJ
cana-2261	186	5	networks	network	NOUN
cana-2261	186	6	,	,	PUNCT
cana-2261	186	7	ubiquitous	ubiquitous	ADJ
cana-2261	186	8	computing	computing	NOUN
cana-2261	186	9	,	,	PUNCT
cana-2261	186	10	and	and	CCONJ
cana-2261	186	11	dependable	dependable	ADJ
cana-2261	186	12	applications	application	NOUN
cana-2261	186	13	(	(	PUNCT
cana-2261	186	14	jowua	jowua	PROPN
cana-2261	186	15	)	)	PUNCT
cana-2261	186	16	,	,	PUNCT
cana-2261	186	17	15(1	15(1	NUM
cana-2261	186	18	)	)	PUNCT
cana-2261	186	19	,	,	PUNCT
cana-2261	186	20	216230	216230	NUM
cana-2261	186	21	.	.	PUNCT
cana-2261	187	1	[	[	X
cana-2261	187	2	13	13	NUM
cana-2261	187	3	]	]	PUNCT
cana-2261	187	4	pattnayak	pattnayak	NOUN
cana-2261	187	5	,	,	PUNCT
cana-2261	187	6	parthasarathi	parthasarathi	PROPN
cana-2261	187	7	,	,	PUNCT
cana-2261	187	8	sanghamitra	sanghamitra	PROPN
cana-2261	187	9	patnaik	patnaik	NOUN
cana-2261	187	10	,	,	PUNCT
cana-2261	187	11	arpeeta	arpeeta	PROPN
cana-2261	187	12	mohanty	mohanty	PROPN
cana-2261	187	13	,	,	PUNCT
cana-2261	187	14	and	and	CCONJ
cana-2261	187	15	tulip	tulip	VERB
cana-2261	187	16	das	das	PROPN
cana-2261	187	17	.	.	PUNCT
cana-2261	188	1	"	"	PUNCT
cana-2261	188	2	application	application	NOUN
cana-2261	188	3	of	of	ADP
cana-2261	188	4	e	e	NOUN
cana-2261	188	5	-	-	NOUN
cana-2261	188	6	healthcare	healthcare	NOUN
cana-2261	188	7	based	base	VERB
cana-2261	188	8	on	on	ADP
cana-2261	188	9	machine	machine	NOUN
cana-2261	188	10	learning	learning	NOUN
cana-2261	188	11	in	in	ADP
cana-2261	188	12	an	an	DET
cana-2261	188	13	internet	internet	NOUN
cana-2261	188	14	of	of	ADP
cana-2261	188	15	things	thing	NOUN
cana-2261	188	16	ecosystem	ecosystem	NOUN
cana-2261	188	17	.	.	PUNCT
cana-2261	188	18	"	"	PUNCT
cana-2261	189	1	in	in	ADP
cana-2261	189	2	2023	2023	NUM
cana-2261	189	3	3rd	3rd	ADJ
cana-2261	189	4	international	international	ADJ
cana-2261	189	5	conference	conference	NOUN
cana-2261	189	6	on	on	ADP
cana-2261	189	7	innovative	innovative	ADJ
cana-2261	189	8	sustainable	sustainable	ADJ
cana-2261	189	9	computational	computational	ADJ
cana-2261	189	10	technologies	technology	NOUN
cana-2261	189	11	(	(	PUNCT
cana-2261	189	12	cisct	cisct	PROPN
cana-2261	189	13	)	)	PUNCT
cana-2261	189	14	,	,	PUNCT
cana-2261	189	15	pp	pp	PROPN
cana-2261	189	16	.	.	PUNCT
cana-2261	189	17	1	1	NUM
cana-2261	189	18	-	-	SYM
cana-2261	189	19	5	5	NUM
cana-2261	189	20	.	.	PUNCT
cana-2261	189	21	ieee	ieee	NOUN
cana-2261	189	22	,	,	PUNCT
cana-2261	189	23	2023	2023	NUM
cana-2261	189	24	.	.	PUNCT
cana-2261	190	1	[	[	X
cana-2261	190	2	14	14	NUM
cana-2261	190	3	]	]	X
cana-2261	190	4	chaturvedi	chaturvedi	PROPN
cana-2261	190	5	,	,	PUNCT
cana-2261	190	6	shivi	shivi	PROPN
cana-2261	190	7	.	.	PUNCT
cana-2261	191	1	"	"	PUNCT
cana-2261	191	2	clinical	clinical	ADJ
cana-2261	191	3	prediction	prediction	NOUN
cana-2261	191	4	on	on	ADP
cana-2261	191	5	ml	ml	NOUN
cana-2261	191	6	based	base	VERB
cana-2261	191	7	internet	internet	NOUN
cana-2261	191	8	of	of	ADP
cana-2261	191	9	things	thing	NOUN
cana-2261	191	10	for	for	ADP
cana-2261	191	11	e	e	NOUN
cana-2261	191	12	-	-	NOUN
cana-2261	191	13	health	health	NOUN
cana-2261	191	14	care	care	NOUN
cana-2261	191	15	system	system	NOUN
cana-2261	191	16	.	.	PUNCT
cana-2261	191	17	"	"	PUNCT
cana-2261	192	1	international	international	ADJ
cana-2261	192	2	journal	journal	NOUN
cana-2261	192	3	of	of	ADP
cana-2261	192	4	data	datum	NOUN
cana-2261	192	5	informatics	informatic	NOUN
cana-2261	192	6	and	and	CCONJ
cana-2261	192	7	intelligent	intelligent	ADJ
cana-2261	192	8	computing	computing	NOUN
cana-2261	192	9	2	2	NUM
cana-2261	192	10	,	,	PUNCT
cana-2261	192	11	no	no	INTJ
cana-2261	192	12	.	.	NOUN
cana-2261	192	13	3	3	NUM
cana-2261	192	14	(	(	PUNCT
cana-2261	192	15	2023	2023	NUM
cana-2261	192	16	):	):	PUNCT
cana-2261	192	17	29	29	NUM
cana-2261	192	18	-	-	SYM
cana-2261	192	19	37	37	NUM
cana-2261	192	20	.	.	PUNCT
cana-2261	193	1	[	[	X
cana-2261	193	2	15	15	NUM
cana-2261	193	3	]	]	X
cana-2261	193	4	tenepalli	tenepalli	PROPN
cana-2261	193	5	,	,	PUNCT
cana-2261	193	6	deepika	deepika	PROPN
cana-2261	193	7	,	,	PUNCT
cana-2261	193	8	and	and	CCONJ
cana-2261	193	9	navamani	navamani	ADJ
cana-2261	193	10	tm	tm	PROPN
cana-2261	193	11	.	.	PUNCT
cana-2261	194	1	"	"	PUNCT
cana-2261	194	2	a	a	DET
cana-2261	194	3	systematic	systematic	ADJ
cana-2261	194	4	review	review	NOUN
cana-2261	194	5	on	on	ADP
cana-2261	194	6	iot	iot	NOUN
cana-2261	194	7	and	and	CCONJ
cana-2261	194	8	machine	machine	NOUN
cana-2261	194	9	learning	learn	VERB
cana-2261	194	10	algorithms	algorithm	NOUN
cana-2261	194	11	in	in	ADP
cana-2261	194	12	ehealthcare	ehealthcare	NOUN
cana-2261	194	13	.	.	PUNCT
cana-2261	194	14	"	"	PUNCT
cana-2261	195	1	international	international	ADJ
cana-2261	195	2	journal	journal	NOUN
cana-2261	195	3	of	of	ADP
cana-2261	195	4	computing	computing	NOUN
cana-2261	195	5	and	and	CCONJ
cana-2261	195	6	digital	digital	ADJ
cana-2261	195	7	systems	system	NOUN
cana-2261	195	8	16	16	NUM
cana-2261	195	9	,	,	PUNCT
cana-2261	195	10	no	no	INTJ
cana-2261	195	11	.	.	NOUN
cana-2261	195	12	1	1	NUM
cana-2261	195	13	(	(	PUNCT
cana-2261	195	14	2024	2024	NUM
cana-2261	195	15	):	):	PUNCT
cana-2261	195	16	279	279	NUM
cana-2261	195	17	-	-	SYM
cana-2261	195	18	294	294	NUM
cana-2261	195	19	.	.	PUNCT
cana-2261	196	1	[	[	X
cana-2261	196	2	16	16	NUM
cana-2261	196	3	]	]	X
cana-2261	196	4	lomotey	lomotey	PROPN
cana-2261	196	5	,	,	PUNCT
cana-2261	196	6	r.k	r.k	PROPN
cana-2261	196	7	.	.	PROPN
cana-2261	196	8	,	,	PUNCT
cana-2261	196	9	&	&	CCONJ
cana-2261	196	10	deters	deter	NOUN
cana-2261	196	11	,	,	PUNCT
cana-2261	196	12	r.	r.	PROPN
cana-2261	196	13	(	(	PUNCT
cana-2261	196	14	2013	2013	NUM
cana-2261	196	15	)	)	PUNCT
cana-2261	196	16	.	.	PUNCT
cana-2261	197	1	facilitating	facilitate	VERB
cana-2261	197	2	multi	multi	ADJ
cana-2261	197	3	-	-	ADJ
cana-2261	197	4	device	device	ADJ
cana-2261	197	5	usage	usage	NOUN
cana-2261	197	6	in	in	ADP
cana-2261	197	7	mhealth	mhealth	NOUN
cana-2261	197	8	.	.	PUNCT
cana-2261	198	1	journal	journal	PROPN
cana-2261	198	2	of	of	ADP
cana-2261	198	3	wireless	wireless	ADJ
cana-2261	198	4	mobile	mobile	ADJ
cana-2261	198	5	networks	network	NOUN
cana-2261	198	6	,	,	PUNCT
cana-2261	198	7	ubiquitous	ubiquitous	ADJ
cana-2261	198	8	computing	computing	NOUN
cana-2261	198	9	,	,	PUNCT
cana-2261	198	10	and	and	CCONJ
cana-2261	198	11	dependable	dependable	ADJ
cana-2261	198	12	applications	application	NOUN
cana-2261	198	13	,	,	PUNCT
cana-2261	198	14	4(2	4(2	NUM
cana-2261	198	15	)	)	PUNCT
cana-2261	198	16	,	,	PUNCT
cana-2261	198	17	77	77	NUM
cana-2261	198	18	-	-	SYM
cana-2261	198	19	96	96	NUM
cana-2261	199	1	[	[	X
cana-2261	199	2	17	17	NUM
cana-2261	199	3	]	]	X
cana-2261	199	4	kumar	kumar	PROPN
cana-2261	199	5	,	,	PUNCT
cana-2261	199	6	tm	tm	NOUN
cana-2261	199	7	sathish	sathish	NOUN
cana-2261	199	8	.	.	PUNCT
cana-2261	200	1	"	"	PUNCT
cana-2261	200	2	low	low	ADJ
cana-2261	200	3	-	-	PUNCT
cana-2261	200	4	power	power	NOUN
cana-2261	200	5	design	design	NOUN
cana-2261	200	6	techniques	technique	NOUN
cana-2261	200	7	for	for	ADP
cana-2261	200	8	internet	internet	NOUN
cana-2261	200	9	of	of	ADP
cana-2261	200	10	things	thing	NOUN
cana-2261	200	11	(	(	PUNCT
cana-2261	200	12	iot	iot	NOUN
cana-2261	200	13	)	)	PUNCT
cana-2261	200	14	devices	device	NOUN
cana-2261	200	15	:	:	PUNCT
cana-2261	200	16	current	current	ADJ
cana-2261	200	17	trends	trend	NOUN
cana-2261	200	18	and	and	CCONJ
cana-2261	200	19	future	future	ADJ
cana-2261	200	20	directions	direction	NOUN
cana-2261	200	21	.	.	PUNCT
cana-2261	200	22	"	"	PUNCT
cana-2261	201	1	progress	progress	NOUN
cana-2261	201	2	in	in	ADP
cana-2261	201	3	electronics	electronic	NOUN
cana-2261	201	4	and	and	CCONJ
cana-2261	201	5	communication	communication	NOUN
cana-2261	201	6	engineering	engineering	NOUN
cana-2261	201	7	1.1	1.1	NUM
cana-2261	201	8	(	(	PUNCT
cana-2261	201	9	2024	2024	NUM
cana-2261	201	10	):	):	PUNCT
cana-2261	201	11	19	19	NUM
cana-2261	201	12	-	-	SYM
cana-2261	201	13	25	25	NUM
cana-2261	201	14	.	.	PUNCT
cana-2261	202	1	[	[	X
cana-2261	202	2	18	18	NUM
cana-2261	202	3	]	]	PUNCT
cana-2261	202	4	mohamed	mohamed	PROPN
cana-2261	202	5	,	,	PUNCT
cana-2261	202	6	k.n.r	k.n.r	PROPN
cana-2261	202	7	.	.	PROPN
cana-2261	202	8	,	,	PUNCT
cana-2261	202	9	nijaguna	nijaguna	PROPN
cana-2261	202	10	,	,	PUNCT
cana-2261	202	11	g.s	g.s	PROPN
cana-2261	202	12	.	.	PROPN
cana-2261	202	13	,	,	PUNCT
cana-2261	202	14	pushpa	pushpa	PROPN
cana-2261	202	15	,	,	PUNCT
cana-2261	202	16	dayanand	dayanand	PROPN
cana-2261	202	17	,	,	PUNCT
cana-2261	202	18	l.n	l.n	PROPN
cana-2261	202	19	.	.	PROPN
cana-2261	202	20	,	,	PUNCT
cana-2261	202	21	naga	naga	PROPN
cana-2261	202	22	,	,	PUNCT
cana-2261	202	23	r.m	r.m	PROPN
cana-2261	202	24	.	.	PROPN
cana-2261	202	25	,	,	PUNCT
cana-2261	202	26	&	&	CCONJ
cana-2261	202	27	zameer	zameer	PROPN
cana-2261	202	28	,	,	PUNCT
cana-2261	202	29	aa	aa	INTJ
cana-2261	202	30	.	.	PUNCT
cana-2261	202	31	(	(	PUNCT
cana-2261	202	32	2024	2024	NUM
cana-2261	202	33	)	)	PUNCT
cana-2261	202	34	.	.	PUNCT
cana-2261	203	1	a	a	DET
cana-2261	203	2	comprehensive	comprehensive	ADJ
cana-2261	203	3	approach	approach	NOUN
cana-2261	203	4	to	to	ADP
cana-2261	203	5	a	a	DET
cana-2261	203	6	hybrid	hybrid	ADJ
cana-2261	203	7	blockchain	blockchain	NOUN
cana-2261	203	8	framework	framework	NOUN
cana-2261	203	9	for	for	ADP
cana-2261	203	10	multimedia	multimedia	NOUN
cana-2261	203	11	data	datum	NOUN
cana-2261	203	12	processing	processing	NOUN
cana-2261	203	13	and	and	CCONJ
cana-2261	203	14	analysis	analysis	NOUN
cana-2261	203	15	in	in	ADP
cana-2261	203	16	iothealthcare	iothealthcare	NOUN
cana-2261	203	17	.	.	PUNCT
cana-2261	204	1	journal	journal	NOUN
cana-2261	204	2	of	of	ADP
cana-2261	204	3	wireless	wireless	ADJ
cana-2261	204	4	mobile	mobile	ADJ
cana-2261	204	5	networks	network	NOUN
cana-2261	204	6	,	,	PUNCT
cana-2261	204	7	ubiquitous	ubiquitous	ADJ
cana-2261	204	8	computing	computing	NOUN
cana-2261	204	9	,	,	PUNCT
cana-2261	204	10	and	and	CCONJ
cana-2261	204	11	dependable	dependable	ADJ
cana-2261	204	12	applications	application	NOUN
cana-2261	204	13	(	(	PUNCT
cana-2261	204	14	jowua	jowua	ADJ
cana-2261	204	15	)	)	PUNCT
cana-2261	204	16	,	,	PUNCT
cana-2261	204	17	15(2	15(2	NUM
cana-2261	204	18	)	)	PUNCT
cana-2261	204	19	,	,	PUNCT
cana-2261	204	20	94	94	NUM
cana-2261	204	21	-	-	SYM
cana-2261	204	22	108	108	NUM
cana-2261	204	23	.	.	PUNCT
cana-2261	205	1	https://doi.org/10.58346/jowua.2024.i2.007	https://doi.org/10.58346/jowua.2024.i2.007	ADJ
cana-2261	205	2	[	[	X
cana-2261	205	3	19	19	NUM
cana-2261	205	4	]	]	PUNCT
cana-2261	205	5	adewole	adewole	NOUN
cana-2261	205	6	,	,	PUNCT
cana-2261	205	7	kayode	kayode	PROPN
cana-2261	205	8	s.	s.	PROPN
cana-2261	205	9	,	,	PUNCT
cana-2261	205	10	abimbola	abimbola	PROPN
cana-2261	205	11	g.	g.	PROPN
cana-2261	205	12	akintola	akintola	PROPN
cana-2261	205	13	,	,	PUNCT
cana-2261	205	14	rasheed	rasheed	VERB
cana-2261	205	15	gbenga	gbenga	PROPN
cana-2261	205	16	jimoh	jimoh	NOUN
cana-2261	205	17	,	,	PUNCT
cana-2261	205	18	modinat	modinat	PROPN
cana-2261	205	19	a.	a.	NOUN
cana-2261	205	20	mabayoje	mabayoje	NOUN
cana-2261	205	21	,	,	PUNCT
cana-2261	205	22	muhammed	muhammed	PROPN
cana-2261	205	23	k.	k.	PROPN
cana-2261	205	24	jimoh	jimoh	PROPN
cana-2261	205	25	,	,	PUNCT
cana-2261	205	26	fatima	fatima	PROPN
cana-2261	205	27	e.	e.	PROPN
cana-2261	205	28	usman	usman	PROPN
cana-2261	205	29	-	-	PUNCT
cana-2261	205	30	hamza	hamza	PROPN
cana-2261	205	31	,	,	PUNCT
cana-2261	205	32	abdullateef	abdullateef	PROPN
cana-2261	205	33	o.	o.	PROPN
cana-2261	205	34	balogun	balogun	VERB
cana-2261	205	35	,	,	PUNCT
cana-2261	205	36	arun	arun	PROPN
cana-2261	205	37	kumar	kumar	PROPN
cana-2261	205	38	sangaiah	sangaiah	PROPN
cana-2261	205	39	,	,	PUNCT
cana-2261	205	40	and	and	CCONJ
cana-2261	205	41	ahmed	ahmed	PROPN
cana-2261	205	42	o.	o.	PROPN
cana-2261	205	43	ameen	ameen	PROPN
cana-2261	205	44	.	.	PUNCT
cana-2261	206	1	"	"	PUNCT
cana-2261	206	2	cloud	cloud	NOUN
cana-2261	206	3	-	-	PUNCT
cana-2261	206	4	based	base	VERB
cana-2261	206	5	iomt	iomt	ADJ
cana-2261	206	6	framework	framework	NOUN
cana-2261	206	7	for	for	ADP
cana-2261	206	8	cardiovascular	cardiovascular	ADJ
cana-2261	206	9	disease	disease	NOUN
cana-2261	206	10	prediction	prediction	NOUN
cana-2261	206	11	and	and	CCONJ
cana-2261	206	12	diagnosis	diagnosis	NOUN
cana-2261	206	13	in	in	ADP
cana-2261	206	14	personalized	personalized	ADJ
cana-2261	206	15	e	e	NOUN
cana-2261	206	16	-	-	NOUN
cana-2261	206	17	health	health	ADJ
cana-2261	206	18	care	care	NOUN
cana-2261	206	19	.	.	PUNCT
cana-2261	206	20	"	"	PUNCT
cana-2261	207	1	[	[	X
cana-2261	207	2	20	20	NUM
cana-2261	207	3	]	]	PUNCT
cana-2261	207	4	roper	roper	NOUN
cana-2261	207	5	,	,	PUNCT
cana-2261	207	6	shefer	shefer	VERB
cana-2261	207	7	,	,	PUNCT
cana-2261	207	8	and	and	CCONJ
cana-2261	207	9	plessner	plessner	NOUN
cana-2261	207	10	bar	bar	NOUN
cana-2261	207	11	.	.	PUNCT
cana-2261	208	1	"	"	PUNCT
cana-2261	208	2	secure	secure	ADJ
cana-2261	208	3	computing	compute	VERB
cana-2261	208	4	protocols	protocol	NOUN
cana-2261	208	5	without	without	ADP
cana-2261	208	6	revealing	reveal	VERB
cana-2261	208	7	the	the	DET
cana-2261	208	8	inputs	input	NOUN
cana-2261	208	9	to	to	ADP
cana-2261	208	10	each	each	PRON
cana-2261	208	11	of	of	ADP
cana-2261	208	12	the	the	DET
cana-2261	208	13	various	various	ADJ
cana-2261	208	14	participants	participant	NOUN
cana-2261	208	15	.	.	PUNCT
cana-2261	208	16	"	"	PUNCT
cana-2261	209	1	international	international	ADJ
cana-2261	209	2	journal	journal	NOUN
cana-2261	209	3	of	of	ADP
cana-2261	209	4	communication	communication	NOUN
cana-2261	209	5	and	and	CCONJ
cana-2261	209	6	computer	computer	NOUN
cana-2261	209	7	technologies	technology	NOUN
cana-2261	209	8	12.2	12.2	NUM
cana-2261	209	9	(	(	PUNCT
cana-2261	209	10	2024	2024	NUM
cana-2261	209	11	):	):	PUNCT
cana-2261	209	12	31	31	NUM
cana-2261	209	13	-	-	SYM
cana-2261	209	14	39	39	NUM
cana-2261	209	15	.	.	PUNCT
cana-2261	210	1	[	[	X
cana-2261	210	2	21	21	NUM
cana-2261	210	3	]	]	PUNCT
cana-2261	210	4	sinha	sinha	NOUN
cana-2261	210	5	,	,	PUNCT
cana-2261	210	6	ambarish	ambarish	PROPN
cana-2261	210	7	kumar	kumar	PROPN
cana-2261	210	8	,	,	PUNCT
cana-2261	210	9	and	and	CCONJ
cana-2261	210	10	gaurav	gaurav	PROPN
cana-2261	210	11	kumar	kumar	PROPN
cana-2261	210	12	.	.	PUNCT
cana-2261	211	1	"	"	PUNCT
cana-2261	211	2	artificial	artificial	ADJ
cana-2261	211	3	intelligence	intelligence	NOUN
cana-2261	211	4	in	in	ADP
cana-2261	211	5	healthcare	healthcare	NOUN
cana-2261	211	6	and	and	CCONJ
cana-2261	211	7	its	its	PRON
cana-2261	211	8	application	application	NOUN
cana-2261	211	9	in	in	ADP
cana-2261	211	10	brain	brain	NOUN
cana-2261	211	11	stroke	stroke	NOUN
cana-2261	211	12	diagnosis	diagnosis	NOUN
cana-2261	211	13	.	.	PUNCT
cana-2261	211	14	"	"	PUNCT
cana-2261	212	1	in	in	ADP
cana-2261	212	2	bioinformatics	bioinformatics	NOUN
cana-2261	212	3	tools	tool	NOUN
cana-2261	212	4	and	and	CCONJ
cana-2261	212	5	big	big	ADJ
cana-2261	212	6	data	datum	NOUN
cana-2261	212	7	analytics	analytic	NOUN
cana-2261	212	8	for	for	ADP
cana-2261	212	9	patient	patient	ADJ
cana-2261	212	10	care	care	NOUN
cana-2261	212	11	,	,	PUNCT
cana-2261	212	12	pp	pp	PROPN
cana-2261	212	13	.	.	PUNCT
cana-2261	212	14	91	91	NUM
cana-2261	212	15	-	-	SYM
cana-2261	212	16	104	104	NUM
cana-2261	212	17	.	.	PUNCT
cana-2261	213	1	chapman	chapman	NOUN
cana-2261	213	2	and	and	CCONJ
cana-2261	213	3	hall	hall	PROPN
cana-2261	213	4	/	/	SYM
cana-2261	213	5	crc	crc	NOUN
cana-2261	213	6	,	,	PUNCT
cana-2261	213	7	2022	2022	NUM
cana-2261	213	8	.	.	PUNCT
cana-2261	214	1	[	[	X
cana-2261	214	2	22	22	NUM
cana-2261	214	3	]	]	X
cana-2261	214	4	rimada	rimada	PROPN
cana-2261	214	5	,	,	PUNCT
cana-2261	214	6	y.	y.	PROPN
cana-2261	214	7	,	,	PUNCT
cana-2261	214	8	and	and	CCONJ
cana-2261	214	9	k.	k.	PROPN
cana-2261	214	10	l.	l.	PROPN
cana-2261	214	11	mrinh	mrinh	PROPN
cana-2261	214	12	.	.	PUNCT
cana-2261	215	1	"	"	PUNCT
cana-2261	215	2	unveiling	unveil	VERB
cana-2261	215	3	the	the	DET
cana-2261	215	4	printed	print	VERB
cana-2261	215	5	monopole	monopole	NOUN
cana-2261	215	6	antenna	antenna	NOUN
cana-2261	215	7	:	:	PUNCT
cana-2261	215	8	versatile	versatile	ADJ
cana-2261	215	9	solutions	solution	NOUN
cana-2261	215	10	for	for	ADP
cana-2261	215	11	modern	modern	ADJ
cana-2261	215	12	wireless	wireless	ADJ
cana-2261	215	13	communication	communication	NOUN
cana-2261	215	14	.	.	PUNCT
cana-2261	215	15	"	"	PUNCT
cana-2261	216	1	national	national	ADJ
cana-2261	216	2	journal	journal	NOUN
cana-2261	216	3	of	of	ADP
cana-2261	216	4	antennas	antenna	NOUN
cana-2261	216	5	and	and	CCONJ
cana-2261	216	6	propagation	propagation	NOUN
cana-2261	216	7	6.1	6.1	NUM
cana-2261	216	8	(	(	PUNCT
cana-2261	216	9	2024	2024	NUM
cana-2261	216	10	):	):	PUNCT
cana-2261	216	11	1	1	NUM
cana-2261	216	12	-	-	SYM
cana-2261	216	13	5	5	NUM
cana-2261	216	14	.	.	PUNCT
cana-2261	217	1	[	[	X
cana-2261	217	2	23	23	NUM
cana-2261	217	3	]	]	X
cana-2261	217	4	kumar	kumar	PROPN
cana-2261	217	5	,	,	PUNCT
cana-2261	217	6	shailesh	shailesh	PROPN
cana-2261	217	7	,	,	PUNCT
cana-2261	217	8	rohini	rohini	PROPN
cana-2261	217	9	srivastava	srivastava	PROPN
cana-2261	217	10	,	,	PUNCT
cana-2261	217	11	shashwat	shashwat	PROPN
cana-2261	217	12	pathak	pathak	PROPN
cana-2261	217	13	,	,	PUNCT
cana-2261	217	14	and	and	CCONJ
cana-2261	217	15	basant	basant	PROPN
cana-2261	217	16	kumar	kumar	PROPN
cana-2261	217	17	.	.	PUNCT
cana-2261	218	1	"	"	PUNCT
cana-2261	218	2	cloud	cloud	NOUN
cana-2261	218	3	-	-	PUNCT
cana-2261	218	4	based	base	VERB
cana-2261	218	5	computer	computer	NOUN
cana-2261	218	6	-	-	PUNCT
cana-2261	218	7	assisted	assist	VERB
cana-2261	218	8	diagnostic	diagnostic	ADJ
cana-2261	218	9	solutions	solution	NOUN
cana-2261	218	10	for	for	ADP
cana-2261	218	11	e	e	NOUN
cana-2261	218	12	-	-	NOUN
cana-2261	218	13	health	health	NOUN
cana-2261	218	14	.	.	PUNCT
cana-2261	218	15	"	"	PUNCT
cana-2261	219	1	in	in	ADP
cana-2261	219	2	intelligent	intelligent	ADJ
cana-2261	219	3	data	datum	NOUN
cana-2261	219	4	security	security	NOUN
cana-2261	219	5	solutions	solution	NOUN
cana-2261	219	6	for	for	ADP
cana-2261	219	7	e	e	NOUN
cana-2261	219	8	-	-	NOUN
cana-2261	219	9	health	health	NOUN
cana-2261	219	10	applications	application	NOUN
cana-2261	219	11	,	,	PUNCT
cana-2261	219	12	pp	pp	ADJ
cana-2261	219	13	.	.	PUNCT
cana-2261	219	14	219	219	NUM
cana-2261	219	15	-	-	SYM
cana-2261	219	16	235	235	NUM
cana-2261	219	17	.	.	PUNCT
cana-2261	219	18	academic	academic	ADJ
cana-2261	219	19	press	press	NOUN
cana-2261	219	20	,	,	PUNCT
cana-2261	219	21	2020	2020	NUM
cana-2261	219	22	.	.	PUNCT
cana-2261	220	1	https://doi.org/10.51983/ijiss-2024.14.2.21	https://doi.org/10.51983/ijiss-2024.14.2.21	ADJ
cana-2261	220	2	https://doi.org/10.51983/ijiss-2024.14.2.03	https://doi.org/10.51983/ijiss-2024.14.2.03	ADJ