id	sid	tid	token	lemma	pos
cuesj-1198	1	1	tx_1	tx_1	PROPN
cuesj-1198	1	2	~	~	X
cuesj-1198	1	3	abs	ab	NOUN
cuesj-1198	1	4	:	:	PUNCT
cuesj-1198	1	5	at	at	ADP
cuesj-1198	1	6	/	/	SYM
cuesj-1198	1	7	add	add	VERB
cuesj-1198	1	8	:	:	PUNCT
cuesj-1198	1	9	tx_2	tx_2	PROPN
cuesj-1198	1	10	~	~	NOUN
cuesj-1198	1	11	abs	ab	NOUN
cuesj-1198	1	12	:	:	PUNCT
cuesj-1198	1	13	at	at	ADP
cuesj-1198	1	14	76	76	NUM
cuesj-1198	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	1	16	cuesj	cuesj	ADJ
cuesj-1198	1	17	2024	2024	NUM
cuesj-1198	1	18	,	,	PUNCT
cuesj-1198	1	19	8	8	NUM
cuesj-1198	1	20	(	(	PUNCT
cuesj-1198	1	21	2	2	NUM
cuesj-1198	1	22	):	):	PUNCT
cuesj-1198	1	23	76	76	NUM
cuesj-1198	1	24	-	-	SYM
cuesj-1198	1	25	83	83	NUM
cuesj-1198	1	26	research	research	NOUN
cuesj-1198	1	27	article	article	NOUN
cuesj-1198	1	28	optimizing	optimize	VERB
cuesj-1198	1	29	health	health	NOUN
cuesj-1198	1	30	pattern	pattern	NOUN
cuesj-1198	1	31	recognition	recognition	NOUN
cuesj-1198	1	32	particle	particle	NOUN
cuesj-1198	1	33	swarm	swarm	NOUN
cuesj-1198	1	34	optimization	optimization	NOUN
cuesj-1198	1	35	approach	approach	NOUN
cuesj-1198	1	36	for	for	ADP
cuesj-1198	1	37	enhanced	enhanced	ADJ
cuesj-1198	1	38	neural	neural	ADJ
cuesj-1198	1	39	network	network	NOUN
cuesj-1198	1	40	performance	performance	NOUN
cuesj-1198	1	41	mohammad	mohammad	PROPN
cuesj-1198	1	42	a.	a.	PROPN
cuesj-1198	1	43	assaad1	assaad1	PROPN
cuesj-1198	1	44	,	,	PUNCT
cuesj-1198	1	45	ghazi	ghazi	PROPN
cuesj-1198	1	46	h.	h.	PROPN
cuesj-1198	1	47	shakah2	shakah2	PROPN
cuesj-1198	2	1	1department	1department	NUM
cuesj-1198	2	2	of	of	ADP
cuesj-1198	2	3	informatics	informatic	NOUN
cuesj-1198	2	4	and	and	CCONJ
cuesj-1198	2	5	software	software	NOUN
cuesj-1198	2	6	engineering	engineering	NOUN
cuesj-1198	2	7	,	,	PUNCT
cuesj-1198	2	8	faculty	faculty	NOUN
cuesj-1198	2	9	of	of	ADP
cuesj-1198	2	10	engineering	engineering	NOUN
cuesj-1198	2	11	,	,	PUNCT
cuesj-1198	2	12	cihan	cihan	VERB
cuesj-1198	2	13	university	university	NOUN
cuesj-1198	2	14	-	-	PUNCT
cuesj-1198	2	15	erbil	erbil	PROPN
cuesj-1198	2	16	,	,	PUNCT
cuesj-1198	2	17	kurdistan	kurdistan	PROPN
cuesj-1198	2	18	region	region	NOUN
cuesj-1198	2	19	,	,	PUNCT
cuesj-1198	2	20	iraq	iraq	PROPN
cuesj-1198	2	21	,	,	PUNCT
cuesj-1198	2	22	2department	2department	NUM
cuesj-1198	2	23	of	of	ADP
cuesj-1198	2	24	software	software	NOUN
cuesj-1198	2	25	engineering	engineering	NOUN
cuesj-1198	2	26	,	,	PUNCT
cuesj-1198	2	27	ajloun	ajloun	ADJ
cuesj-1198	2	28	national	national	PROPN
cuesj-1198	2	29	university	university	PROPN
cuesj-1198	2	30	,	,	PUNCT
cuesj-1198	2	31	jordan	jordan	PROPN
cuesj-1198	2	32	abstract	abstract	PROPN
cuesj-1198	2	33	health	health	NOUN
cuesj-1198	2	34	pattern	pattern	NOUN
cuesj-1198	2	35	recognition	recognition	NOUN
cuesj-1198	2	36	is	be	AUX
cuesj-1198	2	37	vital	vital	ADJ
cuesj-1198	2	38	for	for	ADP
cuesj-1198	2	39	advancing	advance	VERB
cuesj-1198	2	40	personalized	personalized	ADJ
cuesj-1198	2	41	health	health	NOUN
cuesj-1198	2	42	-	-	PUNCT
cuesj-1198	2	43	care	care	NOUN
cuesj-1198	2	44	interventions	intervention	NOUN
cuesj-1198	2	45	.	.	PUNCT
cuesj-1198	3	1	this	this	DET
cuesj-1198	3	2	research	research	NOUN
cuesj-1198	3	3	introduces	introduce	VERB
cuesj-1198	3	4	a	a	DET
cuesj-1198	3	5	synergistic	synergistic	ADJ
cuesj-1198	3	6	approach	approach	NOUN
cuesj-1198	3	7	,	,	PUNCT
cuesj-1198	3	8	combining	combine	VERB
cuesj-1198	3	9	fuzzy	fuzzy	ADJ
cuesj-1198	3	10	c	c	NOUN
cuesj-1198	3	11	-	-	PUNCT
cuesj-1198	3	12	means	means	NOUN
cuesj-1198	3	13	(	(	PUNCT
cuesj-1198	3	14	fcm	fcm	PROPN
cuesj-1198	3	15	)	)	PUNCT
cuesj-1198	3	16	clustering	cluster	VERB
cuesj-1198	3	17	with	with	ADP
cuesj-1198	3	18	particle	particle	NOUN
cuesj-1198	3	19	swarm	swarm	NOUN
cuesj-1198	3	20	optimization	optimization	NOUN
cuesj-1198	3	21	(	(	PUNCT
cuesj-1198	3	22	pso	pso	NOUN
cuesj-1198	3	23	)	)	PUNCT
cuesj-1198	3	24	,	,	PUNCT
cuesj-1198	3	25	to	to	PART
cuesj-1198	3	26	optimize	optimize	VERB
cuesj-1198	3	27	the	the	DET
cuesj-1198	3	28	hyperparameters	hyperparameter	NOUN
cuesj-1198	3	29	of	of	ADP
cuesj-1198	3	30	an	an	DET
cuesj-1198	3	31	artificial	artificial	ADJ
cuesj-1198	3	32	neural	neural	ADJ
cuesj-1198	3	33	network	network	NOUN
cuesj-1198	3	34	(	(	PUNCT
cuesj-1198	3	35	ann	ann	PROPN
cuesj-1198	3	36	)	)	PUNCT
cuesj-1198	3	37	and	and	CCONJ
cuesj-1198	3	38	enhance	enhance	VERB
cuesj-1198	3	39	health	health	NOUN
cuesj-1198	3	40	pattern	pattern	NOUN
cuesj-1198	3	41	recognition	recognition	NOUN
cuesj-1198	3	42	.	.	PUNCT
cuesj-1198	4	1	leveraging	leverage	VERB
cuesj-1198	4	2	key	key	ADJ
cuesj-1198	4	3	features	feature	NOUN
cuesj-1198	4	4	such	such	ADJ
cuesj-1198	4	5	as	as	ADP
cuesj-1198	4	6	“	"	PUNCT
cuesj-1198	4	7	smoker	smoker	ADJ
cuesj-1198	4	8	,	,	PUNCT
cuesj-1198	4	9	”	"	PUNCT
cuesj-1198	4	10	“	"	PUNCT
cuesj-1198	4	11	bmi	bmi	NOUN
cuesj-1198	4	12	,	,	PUNCT
cuesj-1198	4	13	”	"	PUNCT
cuesj-1198	4	14	and	and	CCONJ
cuesj-1198	4	15	“	"	PUNCT
cuesj-1198	4	16	genhlth	genhlth	NOUN
cuesj-1198	4	17	,	,	PUNCT
cuesj-1198	4	18	”	"	PUNCT
cuesj-1198	4	19	fcm	fcm	PROPN
cuesj-1198	4	20	reveals	reveal	VERB
cuesj-1198	4	21	distinctive	distinctive	ADJ
cuesj-1198	4	22	health	health	NOUN
cuesj-1198	4	23	clusters	cluster	NOUN
cuesj-1198	4	24	,	,	PUNCT
cuesj-1198	4	25	providing	provide	VERB
cuesj-1198	4	26	nuanced	nuanced	ADJ
cuesj-1198	4	27	insights	insight	NOUN
cuesj-1198	4	28	into	into	ADP
cuesj-1198	4	29	diverse	diverse	ADJ
cuesj-1198	4	30	health	health	NOUN
cuesj-1198	4	31	profiles	profile	NOUN
cuesj-1198	4	32	within	within	ADP
cuesj-1198	4	33	the	the	DET
cuesj-1198	4	34	dataset	dataset	NOUN
cuesj-1198	4	35	.	.	PUNCT
cuesj-1198	5	1	subsequently	subsequently	ADV
cuesj-1198	5	2	,	,	PUNCT
cuesj-1198	5	3	the	the	DET
cuesj-1198	5	4	pso	pso	NOUN
cuesj-1198	5	5	algorithm	algorithm	NOUN
cuesj-1198	5	6	systematically	systematically	ADV
cuesj-1198	5	7	optimizes	optimize	VERB
cuesj-1198	5	8	critical	critical	ADJ
cuesj-1198	5	9	ann	ann	PROPN
cuesj-1198	5	10	hyperparameters	hyperparameter	NOUN
cuesj-1198	5	11	,	,	PUNCT
cuesj-1198	5	12	significantly	significantly	ADV
cuesj-1198	5	13	decreasing	decrease	VERB
cuesj-1198	5	14	the	the	DET
cuesj-1198	5	15	training	training	NOUN
cuesj-1198	5	16	loss	loss	NOUN
cuesj-1198	5	17	to	to	ADP
cuesj-1198	5	18	0.004	0.004	NUM
cuesj-1198	5	19	.	.	PUNCT
cuesj-1198	6	1	this	this	DET
cuesj-1198	6	2	reduction	reduction	NOUN
cuesj-1198	6	3	underscores	underscore	VERB
cuesj-1198	6	4	the	the	DET
cuesj-1198	6	5	effectiveness	effectiveness	NOUN
cuesj-1198	6	6	of	of	ADP
cuesj-1198	6	7	the	the	DET
cuesj-1198	6	8	optimization	optimization	NOUN
cuesj-1198	6	9	process	process	NOUN
cuesj-1198	6	10	,	,	PUNCT
cuesj-1198	6	11	indicating	indicate	VERB
cuesj-1198	6	12	improved	improved	ADJ
cuesj-1198	6	13	learning	learning	NOUN
cuesj-1198	6	14	and	and	CCONJ
cuesj-1198	6	15	predictive	predictive	ADJ
cuesj-1198	6	16	capabilities	capability	NOUN
cuesj-1198	6	17	of	of	ADP
cuesj-1198	6	18	the	the	DET
cuesj-1198	6	19	ann	ann	PROPN
cuesj-1198	6	20	.	.	PUNCT
cuesj-1198	7	1	the	the	DET
cuesj-1198	7	2	proposed	propose	VERB
cuesj-1198	7	3	methodology	methodology	NOUN
cuesj-1198	7	4	not	not	PART
cuesj-1198	7	5	only	only	ADV
cuesj-1198	7	6	refines	refine	VERB
cuesj-1198	7	7	health	health	NOUN
cuesj-1198	7	8	pattern	pattern	NOUN
cuesj-1198	7	9	recognition	recognition	NOUN
cuesj-1198	7	10	but	but	CCONJ
cuesj-1198	7	11	also	also	ADV
cuesj-1198	7	12	holds	hold	VERB
cuesj-1198	7	13	promise	promise	NOUN
cuesj-1198	7	14	for	for	ADP
cuesj-1198	7	15	personalized	personalized	ADJ
cuesj-1198	7	16	health	health	NOUN
cuesj-1198	7	17	-	-	PUNCT
cuesj-1198	7	18	care	care	NOUN
cuesj-1198	7	19	analytics	analytic	NOUN
cuesj-1198	7	20	.	.	PUNCT
cuesj-1198	8	1	the	the	DET
cuesj-1198	8	2	identified	identify	VERB
cuesj-1198	8	3	clusters	cluster	NOUN
cuesj-1198	8	4	offer	offer	VERB
cuesj-1198	8	5	actionable	actionable	ADJ
cuesj-1198	8	6	insights	insight	NOUN
cuesj-1198	8	7	for	for	ADP
cuesj-1198	8	8	tailored	tailor	VERB
cuesj-1198	8	9	interventions	intervention	NOUN
cuesj-1198	8	10	,	,	PUNCT
cuesj-1198	8	11	addressing	address	VERB
cuesj-1198	8	12	specific	specific	ADJ
cuesj-1198	8	13	health	health	NOUN
cuesj-1198	8	14	profiles	profile	NOUN
cuesj-1198	8	15	within	within	ADP
cuesj-1198	8	16	the	the	DET
cuesj-1198	8	17	population	population	NOUN
cuesj-1198	8	18	.	.	PUNCT
cuesj-1198	9	1	this	this	DET
cuesj-1198	9	2	research	research	NOUN
cuesj-1198	9	3	contributes	contribute	VERB
cuesj-1198	9	4	to	to	ADP
cuesj-1198	9	5	the	the	DET
cuesj-1198	9	6	evolving	evolve	VERB
cuesj-1198	9	7	landscape	landscape	NOUN
cuesj-1198	9	8	of	of	ADP
cuesj-1198	9	9	health	health	NOUN
cuesj-1198	9	10	-	-	PUNCT
cuesj-1198	9	11	care	care	NOUN
cuesj-1198	9	12	analytics	analytic	NOUN
cuesj-1198	9	13	by	by	ADP
cuesj-1198	9	14	integrating	integrate	VERB
cuesj-1198	9	15	advanced	advanced	ADJ
cuesj-1198	9	16	clustering	clustering	NOUN
cuesj-1198	9	17	and	and	CCONJ
cuesj-1198	9	18	optimization	optimization	NOUN
cuesj-1198	9	19	techniques	technique	NOUN
cuesj-1198	9	20	,	,	PUNCT
cuesj-1198	9	21	paving	pave	VERB
cuesj-1198	9	22	the	the	DET
cuesj-1198	9	23	way	way	NOUN
cuesj-1198	9	24	for	for	ADP
cuesj-1198	9	25	more	more	ADV
cuesj-1198	9	26	effective	effective	ADJ
cuesj-1198	9	27	and	and	CCONJ
cuesj-1198	9	28	individualized	individualized	ADJ
cuesj-1198	9	29	health	health	NOUN
cuesj-1198	9	30	-	-	PUNCT
cuesj-1198	9	31	care	care	NOUN
cuesj-1198	9	32	strategies	strategy	NOUN
cuesj-1198	9	33	.	.	PUNCT
cuesj-1198	10	1	keywords	keyword	NOUN
cuesj-1198	10	2	:	:	PUNCT
cuesj-1198	10	3	health	health	NOUN
cuesj-1198	10	4	pattern	pattern	NOUN
cuesj-1198	10	5	recognition	recognition	NOUN
cuesj-1198	10	6	,	,	PUNCT
cuesj-1198	10	7	fuzzy	fuzzy	ADJ
cuesj-1198	10	8	c	c	NOUN
cuesj-1198	10	9	-	-	PUNCT
cuesj-1198	10	10	means	mean	NOUN
cuesj-1198	10	11	,	,	PUNCT
cuesj-1198	10	12	particle	particle	NOUN
cuesj-1198	10	13	swarm	swarm	NOUN
cuesj-1198	10	14	optimization	optimization	NOUN
cuesj-1198	10	15	,	,	PUNCT
cuesj-1198	10	16	hyperparameter	hyperparameter	NOUN
cuesj-1198	10	17	optimization	optimization	NOUN
cuesj-1198	10	18	,	,	PUNCT
cuesj-1198	10	19	health	health	NOUN
cuesj-1198	10	20	clusters	cluster	NOUN
cuesj-1198	10	21	,	,	PUNCT
cuesj-1198	10	22	optimization	optimization	NOUN
cuesj-1198	10	23	algorithms	algorithm	NOUN
cuesj-1198	10	24	introduction	introduction	NOUN
cuesj-1198	10	25	health	health	NOUN
cuesj-1198	10	26	-	-	PUNCT
cuesj-1198	10	27	care	care	NOUN
cuesj-1198	10	28	analytics	analytic	NOUN
cuesj-1198	10	29	,	,	PUNCT
cuesj-1198	10	30	driven	drive	VERB
cuesj-1198	10	31	by	by	ADP
cuesj-1198	10	32	advanced	advanced	ADJ
cuesj-1198	10	33	data	data	NOUN
cuesj-1198	10	34	-	-	PUNCT
cuesj-1198	10	35	driven	drive	VERB
cuesj-1198	10	36	methodologies	methodology	NOUN
cuesj-1198	10	37	,	,	PUNCT
cuesj-1198	10	38	is	be	AUX
cuesj-1198	10	39	a	a	DET
cuesj-1198	10	40	key	key	NOUN
cuesj-1198	10	41	to	to	ADP
cuesj-1198	10	42	transforming	transform	VERB
cuesj-1198	10	43	patient	patient	ADJ
cuesj-1198	10	44	care	care	NOUN
cuesj-1198	10	45	and	and	CCONJ
cuesj-1198	10	46	outcomes	outcome	NOUN
cuesj-1198	10	47	.	.	PUNCT
cuesj-1198	11	1	to	to	PART
cuesj-1198	11	2	enhance	enhance	VERB
cuesj-1198	11	3	our	our	PRON
cuesj-1198	11	4	understanding	understanding	NOUN
cuesj-1198	11	5	of	of	ADP
cuesj-1198	11	6	complex	complex	ADJ
cuesj-1198	11	7	health	health	NOUN
cuesj-1198	11	8	patterns	pattern	NOUN
cuesj-1198	11	9	,	,	PUNCT
cuesj-1198	11	10	this	this	DET
cuesj-1198	11	11	research	research	NOUN
cuesj-1198	11	12	endeavors	endeavor	VERB
cuesj-1198	11	13	to	to	PART
cuesj-1198	11	14	amalgamate	amalgamate	VERB
cuesj-1198	11	15	fuzzy	fuzzy	ADJ
cuesj-1198	11	16	c	c	NOUN
cuesj-1198	11	17	-	-	PUNCT
cuesj-1198	11	18	means	means	NOUN
cuesj-1198	11	19	(	(	PUNCT
cuesj-1198	11	20	fcm	fcm	PROPN
cuesj-1198	11	21	)	)	PUNCT
cuesj-1198	11	22	clustering	clustering	NOUN
cuesj-1198	11	23	and	and	CCONJ
cuesj-1198	11	24	particle	particle	NOUN
cuesj-1198	11	25	swarm	swarm	NOUN
cuesj-1198	11	26	optimization	optimization	NOUN
cuesj-1198	11	27	(	(	PUNCT
cuesj-1198	11	28	pso	pso	NOUN
cuesj-1198	11	29	)	)	PUNCT
cuesj-1198	11	30	techniques	technique	NOUN
cuesj-1198	11	31	to	to	PART
cuesj-1198	11	32	optimize	optimize	VERB
cuesj-1198	11	33	the	the	DET
cuesj-1198	11	34	hyperparameters	hyperparameter	NOUN
cuesj-1198	11	35	of	of	ADP
cuesj-1198	11	36	an	an	DET
cuesj-1198	11	37	artificial	artificial	ADJ
cuesj-1198	11	38	neural	neural	ADJ
cuesj-1198	11	39	network	network	NOUN
cuesj-1198	11	40	(	(	PUNCT
cuesj-1198	11	41	ann	ann	PROPN
cuesj-1198	11	42	)	)	PUNCT
cuesj-1198	11	43	.	.	PUNCT
cuesj-1198	12	1	the	the	DET
cuesj-1198	12	2	overarching	overarching	ADJ
cuesj-1198	12	3	goal	goal	NOUN
cuesj-1198	12	4	is	be	AUX
cuesj-1198	12	5	to	to	PART
cuesj-1198	12	6	achieve	achieve	VERB
cuesj-1198	12	7	a	a	DET
cuesj-1198	12	8	more	more	ADV
cuesj-1198	12	9	precise	precise	ADJ
cuesj-1198	12	10	and	and	CCONJ
cuesj-1198	12	11	individualized	individualized	ADJ
cuesj-1198	12	12	recognition	recognition	NOUN
cuesj-1198	12	13	of	of	ADP
cuesj-1198	12	14	health	health	NOUN
cuesj-1198	12	15	profiles	profile	NOUN
cuesj-1198	12	16	within	within	ADP
cuesj-1198	12	17	a	a	DET
cuesj-1198	12	18	diverse	diverse	NOUN
cuesj-1198	12	19	dataset.[1	dataset.[1	NOUN
cuesj-1198	12	20	]	]	PUNCT
cuesj-1198	12	21	the	the	DET
cuesj-1198	12	22	burgeoning	burgeon	VERB
cuesj-1198	12	23	field	field	NOUN
cuesj-1198	12	24	of	of	ADP
cuesj-1198	12	25	health	health	NOUN
cuesj-1198	12	26	pattern	pattern	NOUN
cuesj-1198	12	27	recognition	recognition	NOUN
cuesj-1198	12	28	is	be	AUX
cuesj-1198	12	29	critical	critical	ADJ
cuesj-1198	12	30	for	for	ADP
cuesj-1198	12	31	discerning	discern	VERB
cuesj-1198	12	32	intricate	intricate	ADJ
cuesj-1198	12	33	relationships	relationship	NOUN
cuesj-1198	12	34	between	between	ADP
cuesj-1198	12	35	lifestyle	lifestyle	NOUN
cuesj-1198	12	36	,	,	PUNCT
cuesj-1198	12	37	demographic	demographic	ADJ
cuesj-1198	12	38	,	,	PUNCT
cuesj-1198	12	39	and	and	CCONJ
cuesj-1198	12	40	health	health	NOUN
cuesj-1198	12	41	-	-	PUNCT
cuesj-1198	12	42	related	relate	VERB
cuesj-1198	12	43	factors	factor	NOUN
cuesj-1198	12	44	.	.	PUNCT
cuesj-1198	13	1	identifying	identify	VERB
cuesj-1198	13	2	distinct	distinct	ADJ
cuesj-1198	13	3	clusters	cluster	NOUN
cuesj-1198	13	4	within	within	ADP
cuesj-1198	13	5	populations	population	NOUN
cuesj-1198	13	6	can	can	AUX
cuesj-1198	13	7	unearth	unearth	VERB
cuesj-1198	13	8	nuanced	nuanced	ADJ
cuesj-1198	13	9	insights	insight	NOUN
cuesj-1198	13	10	into	into	ADP
cuesj-1198	13	11	health	health	NOUN
cuesj-1198	13	12	behaviors	behavior	NOUN
cuesj-1198	13	13	,	,	PUNCT
cuesj-1198	13	14	aiding	aid	VERB
cuesj-1198	13	15	in	in	ADP
cuesj-1198	13	16	developing	develop	VERB
cuesj-1198	13	17	targeted	target	VERB
cuesj-1198	13	18	and	and	CCONJ
cuesj-1198	13	19	personalized	personalized	ADJ
cuesj-1198	13	20	health	health	NOUN
cuesj-1198	13	21	-	-	PUNCT
cuesj-1198	13	22	care	care	NOUN
cuesj-1198	13	23	strategies	strategy	NOUN
cuesj-1198	13	24	.	.	PUNCT
cuesj-1198	14	1	features	feature	VERB
cuesj-1198	14	2	such	such	ADJ
cuesj-1198	14	3	as	as	ADP
cuesj-1198	14	4	“	"	PUNCT
cuesj-1198	14	5	smoker	smoker	ADJ
cuesj-1198	14	6	,	,	PUNCT
cuesj-1198	14	7	”	"	PUNCT
cuesj-1198	14	8	“	"	PUNCT
cuesj-1198	14	9	body	body	NOUN
cuesj-1198	14	10	mass	mass	NOUN
cuesj-1198	14	11	index	index	NOUN
cuesj-1198	14	12	(	(	PUNCT
cuesj-1198	14	13	bmi	bmi	PROPN
cuesj-1198	14	14	)	)	PUNCT
cuesj-1198	14	15	,	,	PUNCT
cuesj-1198	14	16	”	"	PUNCT
cuesj-1198	14	17	and	and	CCONJ
cuesj-1198	14	18	“	"	PUNCT
cuesj-1198	14	19	genhlth	genhlth	NOUN
cuesj-1198	14	20	”	"	PUNCT
cuesj-1198	14	21	provide	provide	VERB
cuesj-1198	14	22	multifaceted	multifaceted	ADJ
cuesj-1198	14	23	dimensions	dimension	NOUN
cuesj-1198	14	24	for	for	ADP
cuesj-1198	14	25	analysis	analysis	NOUN
cuesj-1198	14	26	,	,	PUNCT
cuesj-1198	14	27	offering	offer	VERB
cuesj-1198	14	28	a	a	DET
cuesj-1198	14	29	comprehensive	comprehensive	ADJ
cuesj-1198	14	30	view	view	NOUN
cuesj-1198	14	31	of	of	ADP
cuesj-1198	14	32	an	an	DET
cuesj-1198	14	33	individual	individual	NOUN
cuesj-1198	14	34	’s	’s	PART
cuesj-1198	14	35	health	health	NOUN
cuesj-1198	14	36	status.[2	status.[2	ADV
cuesj-1198	14	37	]	]	PUNCT
cuesj-1198	14	38	the	the	DET
cuesj-1198	14	39	initial	initial	ADJ
cuesj-1198	14	40	phase	phase	NOUN
cuesj-1198	14	41	of	of	ADP
cuesj-1198	14	42	this	this	DET
cuesj-1198	14	43	study	study	NOUN
cuesj-1198	14	44	leverages	leverage	NOUN
cuesj-1198	14	45	fcm	fcm	AUX
cuesj-1198	14	46	clustering	cluster	VERB
cuesj-1198	14	47	to	to	PART
cuesj-1198	14	48	categorize	categorize	VERB
cuesj-1198	14	49	individuals	individual	NOUN
cuesj-1198	14	50	into	into	ADP
cuesj-1198	14	51	health	health	NOUN
cuesj-1198	14	52	clusters	cluster	NOUN
cuesj-1198	14	53	based	base	VERB
cuesj-1198	14	54	on	on	ADP
cuesj-1198	14	55	shared	shared	ADJ
cuesj-1198	14	56	characteristics	characteristic	NOUN
cuesj-1198	14	57	.	.	PUNCT
cuesj-1198	15	1	this	this	DET
cuesj-1198	15	2	technique	technique	NOUN
cuesj-1198	15	3	excels	excel	VERB
cuesj-1198	15	4	in	in	ADP
cuesj-1198	15	5	capturing	capture	VERB
cuesj-1198	15	6	the	the	DET
cuesj-1198	15	7	inherent	inherent	ADJ
cuesj-1198	15	8	fuzziness	fuzziness	NOUN
cuesj-1198	15	9	and	and	CCONJ
cuesj-1198	15	10	overlaps	overlap	NOUN
cuesj-1198	15	11	present	present	ADJ
cuesj-1198	15	12	in	in	ADP
cuesj-1198	15	13	health	health	NOUN
cuesj-1198	15	14	-	-	PUNCT
cuesj-1198	15	15	related	relate	VERB
cuesj-1198	15	16	data	datum	NOUN
cuesj-1198	15	17	,	,	PUNCT
cuesj-1198	15	18	allowing	allow	VERB
cuesj-1198	15	19	for	for	ADP
cuesj-1198	15	20	a	a	DET
cuesj-1198	15	21	more	more	ADV
cuesj-1198	15	22	realistic	realistic	ADJ
cuesj-1198	15	23	representation	representation	NOUN
cuesj-1198	15	24	of	of	ADP
cuesj-1198	15	25	diverse	diverse	ADJ
cuesj-1198	15	26	health	health	NOUN
cuesj-1198	15	27	profiles	profile	NOUN
cuesj-1198	15	28	.	.	PUNCT
cuesj-1198	16	1	the	the	DET
cuesj-1198	16	2	clusters	cluster	NOUN
cuesj-1198	16	3	identified	identify	VERB
cuesj-1198	16	4	by	by	ADP
cuesj-1198	16	5	fcm	fcm	PROPN
cuesj-1198	16	6	lay	lie	VERB
cuesj-1198	16	7	the	the	DET
cuesj-1198	16	8	foundation	foundation	NOUN
cuesj-1198	16	9	for	for	ADP
cuesj-1198	16	10	subsequent	subsequent	ADJ
cuesj-1198	16	11	optimization	optimization	NOUN
cuesj-1198	16	12	through	through	ADP
cuesj-1198	16	13	pso	pso	NOUN
cuesj-1198	16	14	,	,	PUNCT
cuesj-1198	16	15	which	which	PRON
cuesj-1198	16	16	systematically	systematically	ADV
cuesj-1198	16	17	refines	refine	VERB
cuesj-1198	16	18	the	the	DET
cuesj-1198	16	19	hyperparameters	hyperparameter	NOUN
cuesj-1198	16	20	of	of	ADP
cuesj-1198	16	21	an	an	DET
cuesj-1198	16	22	ann	ann	PROPN
cuesj-1198	16	23	.	.	PUNCT
cuesj-1198	17	1	the	the	DET
cuesj-1198	17	2	significance	significance	NOUN
cuesj-1198	17	3	of	of	ADP
cuesj-1198	17	4	hyperparameter	hyperparameter	NOUN
cuesj-1198	17	5	optimization	optimization	NOUN
cuesj-1198	17	6	in	in	ADP
cuesj-1198	17	7	neural	neural	ADJ
cuesj-1198	17	8	networks	network	NOUN
cuesj-1198	17	9	can	can	AUX
cuesj-1198	17	10	not	not	PART
cuesj-1198	17	11	be	be	AUX
cuesj-1198	17	12	overstated	overstate	VERB
cuesj-1198	17	13	.	.	PUNCT
cuesj-1198	18	1	the	the	DET
cuesj-1198	18	2	choice	choice	NOUN
cuesj-1198	18	3	of	of	ADP
cuesj-1198	18	4	parameters	parameter	NOUN
cuesj-1198	18	5	such	such	ADJ
cuesj-1198	18	6	as	as	ADP
cuesj-1198	18	7	the	the	DET
cuesj-1198	18	8	number	number	NOUN
cuesj-1198	18	9	of	of	ADP
cuesj-1198	18	10	neurons	neuron	NOUN
cuesj-1198	18	11	in	in	ADP
cuesj-1198	18	12	hidden	hidden	ADJ
cuesj-1198	18	13	layers	layer	NOUN
cuesj-1198	18	14	and	and	CCONJ
cuesj-1198	18	15	activation	activation	NOUN
cuesj-1198	18	16	functions	function	NOUN
cuesj-1198	18	17	directly	directly	ADV
cuesj-1198	18	18	influences	influence	VERB
cuesj-1198	18	19	the	the	DET
cuesj-1198	18	20	model	model	NOUN
cuesj-1198	18	21	’s	’s	PART
cuesj-1198	18	22	learning	learn	VERB
cuesj-1198	18	23	capacity	capacity	NOUN
cuesj-1198	18	24	and	and	CCONJ
cuesj-1198	18	25	predictive	predictive	ADJ
cuesj-1198	18	26	accuracy	accuracy	NOUN
cuesj-1198	18	27	.	.	PUNCT
cuesj-1198	19	1	pso	pso	NOUN
cuesj-1198	19	2	,	,	PUNCT
cuesj-1198	19	3	inspired	inspire	VERB
cuesj-1198	19	4	by	by	ADP
cuesj-1198	19	5	social	social	ADJ
cuesj-1198	19	6	behavior	behavior	NOUN
cuesj-1198	19	7	and	and	CCONJ
cuesj-1198	19	8	collaboration	collaboration	NOUN
cuesj-1198	19	9	,	,	PUNCT
cuesj-1198	19	10	offers	offer	VERB
cuesj-1198	19	11	an	an	DET
cuesj-1198	19	12	innovative	innovative	ADJ
cuesj-1198	19	13	approach	approach	NOUN
cuesj-1198	19	14	to	to	ADP
cuesj-1198	19	15	finetuning	finetune	VERB
cuesj-1198	19	16	these	these	DET
cuesj-1198	19	17	hyperparameters	hyperparameter	NOUN
cuesj-1198	19	18	.	.	PUNCT
cuesj-1198	20	1	by	by	ADP
cuesj-1198	20	2	systematically	systematically	ADV
cuesj-1198	20	3	exploring	explore	VERB
cuesj-1198	20	4	corresponding	corresponding	ADJ
cuesj-1198	20	5	author	author	NOUN
cuesj-1198	20	6	:	:	PUNCT
cuesj-1198	20	7	mohammad	mohammad	PROPN
cuesj-1198	20	8	a.	a.	PROPN
cuesj-1198	20	9	assaad	assaad	PROPN
cuesj-1198	20	10	,	,	PUNCT
cuesj-1198	20	11	department	department	NOUN
cuesj-1198	20	12	of	of	ADP
cuesj-1198	20	13	informatics	informatic	NOUN
cuesj-1198	20	14	and	and	CCONJ
cuesj-1198	20	15	software	software	NOUN
cuesj-1198	20	16	engineering	engineering	NOUN
cuesj-1198	20	17	,	,	PUNCT
cuesj-1198	20	18	faculty	faculty	NOUN
cuesj-1198	20	19	of	of	ADP
cuesj-1198	20	20	engineering	engineering	NOUN
cuesj-1198	20	21	,	,	PUNCT
cuesj-1198	20	22	cihan	cihan	VERB
cuesj-1198	20	23	university	university	NOUN
cuesj-1198	20	24	-	-	PUNCT
cuesj-1198	20	25	erbil	erbil	PROPN
cuesj-1198	20	26	,	,	PUNCT
cuesj-1198	20	27	kurdistan	kurdistan	PROPN
cuesj-1198	20	28	region	region	NOUN
cuesj-1198	20	29	,	,	PUNCT
cuesj-1198	20	30	iraq	iraq	PROPN
cuesj-1198	20	31	.	.	PUNCT
cuesj-1198	21	1	e	e	X
cuesj-1198	21	2	-	-	NOUN
cuesj-1198	21	3	mail	mail	NOUN
cuesj-1198	21	4	:	:	PUNCT
cuesj-1198	21	5	mohammad.anwar@cihanuniversity.edu.iq	mohammad.anwar@cihanuniversity.edu.iq	NOUN
cuesj-1198	21	6	received	receive	VERB
cuesj-1198	21	7	:	:	PUNCT
cuesj-1198	21	8	june	june	PROPN
cuesj-1198	21	9	03	03	NUM
cuesj-1198	21	10	,	,	PUNCT
cuesj-1198	21	11	2024	2024	NUM
cuesj-1198	21	12	accepted	accept	VERB
cuesj-1198	21	13	:	:	PUNCT
cuesj-1198	21	14	july	july	PROPN
cuesj-1198	21	15	03	03	NUM
cuesj-1198	21	16	,	,	PUNCT
cuesj-1198	21	17	2024	2024	NUM
cuesj-1198	21	18	published	publish	VERB
cuesj-1198	21	19	:	:	PUNCT
cuesj-1198	21	20	september	september	PROPN
cuesj-1198	21	21	15	15	NUM
cuesj-1198	21	22	,	,	PUNCT
cuesj-1198	21	23	2024	2024	NUM
cuesj-1198	21	24	doi	doi	NOUN
cuesj-1198	21	25	:	:	PUNCT
cuesj-1198	21	26	10.24086	10.24086	NUM
cuesj-1198	21	27	/	/	SYM
cuesj-1198	21	28	cuesj.v8n2y2024.pp76	cuesj.v8n2y2024.pp76	NUM
cuesj-1198	21	29	-	-	SYM
cuesj-1198	21	30	83	83	NUM
cuesj-1198	21	31	copyright	copyright	NOUN
cuesj-1198	21	32	©	©	PROPN
cuesj-1198	21	33	2024	2024	NUM
cuesj-1198	21	34	mohammad	mohammad	PROPN
cuesj-1198	21	35	a.	a.	NOUN
cuesj-1198	21	36	assaad	assaad	NOUN
cuesj-1198	21	37	,	,	PUNCT
cuesj-1198	21	38	ghazi	ghazi	PROPN
cuesj-1198	21	39	h.	h.	PROPN
cuesj-1198	21	40	shakah	shakah	PROPN
cuesj-1198	21	41	.	.	PUNCT
cuesj-1198	22	1	this	this	PRON
cuesj-1198	22	2	is	be	AUX
cuesj-1198	22	3	an	an	DET
cuesj-1198	22	4	openaccess	openaccess	ADJ
cuesj-1198	22	5	article	article	NOUN
cuesj-1198	22	6	distributed	distribute	VERB
cuesj-1198	22	7	under	under	ADP
cuesj-1198	22	8	the	the	DET
cuesj-1198	22	9	creative	creative	ADJ
cuesj-1198	22	10	commons	common	NOUN
cuesj-1198	22	11	attribution	attribution	NOUN
cuesj-1198	22	12	license	license	NOUN
cuesj-1198	22	13	.	.	PUNCT
cuesj-1198	23	1	cihan	cihan	VERB
cuesj-1198	23	2	university	university	NOUN
cuesj-1198	23	3	-	-	PUNCT
cuesj-1198	23	4	erbil	erbil	PROPN
cuesj-1198	23	5	scientific	scientific	ADJ
cuesj-1198	23	6	journal	journal	NOUN
cuesj-1198	23	7	(	(	PUNCT
cuesj-1198	23	8	cuesj	cuesj	ADJ
cuesj-1198	23	9	)	)	PUNCT
cuesj-1198	23	10	assaad	assaad	NOUN
cuesj-1198	23	11	and	and	CCONJ
cuesj-1198	23	12	shakah	shakah	PROPN
cuesj-1198	23	13	:	:	PUNCT
cuesj-1198	23	14	optimizing	optimize	VERB
cuesj-1198	23	15	health	health	NOUN
cuesj-1198	23	16	pattern	pattern	NOUN
cuesj-1198	23	17	recognition	recognition	NOUN
cuesj-1198	23	18	pso	pso	NOUN
cuesj-1198	23	19	approach	approach	NOUN
cuesj-1198	23	20	77	77	NUM
cuesj-1198	23	21	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	23	22	cuesj	cuesj	ADJ
cuesj-1198	23	23	2024	2024	NUM
cuesj-1198	23	24	,	,	PUNCT
cuesj-1198	23	25	8	8	NUM
cuesj-1198	23	26	(	(	PUNCT
cuesj-1198	23	27	2	2	NUM
cuesj-1198	23	28	):	):	PUNCT
cuesj-1198	23	29	76	76	NUM
cuesj-1198	23	30	-	-	SYM
cuesj-1198	23	31	83	83	NUM
cuesj-1198	23	32	the	the	DET
cuesj-1198	23	33	solution	solution	NOUN
cuesj-1198	23	34	space	space	NOUN
cuesj-1198	23	35	,	,	PUNCT
cuesj-1198	23	36	pso	pso	NOUN
cuesj-1198	23	37	aims	aim	VERB
cuesj-1198	23	38	to	to	PART
cuesj-1198	23	39	discover	discover	VERB
cuesj-1198	23	40	optimal	optimal	ADJ
cuesj-1198	23	41	parameter	parameter	NOUN
cuesj-1198	23	42	configurations	configuration	NOUN
cuesj-1198	23	43	that	that	PRON
cuesj-1198	23	44	lead	lead	VERB
cuesj-1198	23	45	to	to	AUX
cuesj-1198	23	46	improved	improve	VERB
cuesj-1198	23	47	ann	ann	PROPN
cuesj-1198	23	48	performance.[3	performance.[3	NOUN
cuesj-1198	23	49	]	]	PUNCT
cuesj-1198	23	50	the	the	DET
cuesj-1198	23	51	outcomes	outcome	NOUN
cuesj-1198	23	52	of	of	ADP
cuesj-1198	23	53	this	this	DET
cuesj-1198	23	54	research	research	NOUN
cuesj-1198	23	55	are	be	AUX
cuesj-1198	23	56	not	not	PART
cuesj-1198	23	57	merely	merely	ADV
cuesj-1198	23	58	confined	confine	VERB
cuesj-1198	23	59	to	to	ADP
cuesj-1198	23	60	the	the	DET
cuesj-1198	23	61	realm	realm	NOUN
cuesj-1198	23	62	of	of	ADP
cuesj-1198	23	63	algorithmic	algorithmic	ADJ
cuesj-1198	23	64	enhancements	enhancement	NOUN
cuesj-1198	23	65	.	.	PUNCT
cuesj-1198	24	1	the	the	DET
cuesj-1198	24	2	optimized	optimize	VERB
cuesj-1198	24	3	ann	ann	PROPN
cuesj-1198	24	4	holds	hold	VERB
cuesj-1198	24	5	the	the	DET
cuesj-1198	24	6	promise	promise	NOUN
cuesj-1198	24	7	of	of	ADP
cuesj-1198	24	8	being	be	AUX
cuesj-1198	24	9	a	a	DET
cuesj-1198	24	10	powerful	powerful	ADJ
cuesj-1198	24	11	tool	tool	NOUN
cuesj-1198	24	12	for	for	ADP
cuesj-1198	24	13	health	health	NOUN
cuesj-1198	24	14	pattern	pattern	NOUN
cuesj-1198	24	15	recognition	recognition	NOUN
cuesj-1198	24	16	,	,	PUNCT
cuesj-1198	24	17	offering	offer	VERB
cuesj-1198	24	18	potential	potential	ADJ
cuesj-1198	24	19	applications	application	NOUN
cuesj-1198	24	20	in	in	ADP
cuesj-1198	24	21	risk	risk	NOUN
cuesj-1198	24	22	assessment	assessment	NOUN
cuesj-1198	24	23	,	,	PUNCT
cuesj-1198	24	24	disease	disease	NOUN
cuesj-1198	24	25	prediction	prediction	NOUN
cuesj-1198	24	26	,	,	PUNCT
cuesj-1198	24	27	and	and	CCONJ
cuesj-1198	24	28	targeted	target	VERB
cuesj-1198	24	29	intervention	intervention	NOUN
cuesj-1198	24	30	strategies	strategy	NOUN
cuesj-1198	24	31	.	.	PUNCT
cuesj-1198	25	1	as	as	SCONJ
cuesj-1198	25	2	we	we	PRON
cuesj-1198	25	3	navigate	navigate	VERB
cuesj-1198	25	4	the	the	DET
cuesj-1198	25	5	intricate	intricate	ADJ
cuesj-1198	25	6	landscape	landscape	NOUN
cuesj-1198	25	7	of	of	ADP
cuesj-1198	25	8	individual	individual	ADJ
cuesj-1198	25	9	health	health	NOUN
cuesj-1198	25	10	profiles	profile	NOUN
cuesj-1198	25	11	,	,	PUNCT
cuesj-1198	25	12	the	the	DET
cuesj-1198	25	13	synergy	synergy	NOUN
cuesj-1198	25	14	of	of	ADP
cuesj-1198	25	15	fcm	fcm	X
cuesj-1198	25	16	and	and	CCONJ
cuesj-1198	25	17	pso	pso	NOUN
cuesj-1198	25	18	presents	present	VERB
cuesj-1198	25	19	a	a	DET
cuesj-1198	25	20	novel	novel	ADJ
cuesj-1198	25	21	avenue	avenue	NOUN
cuesj-1198	25	22	for	for	ADP
cuesj-1198	25	23	advancing	advance	VERB
cuesj-1198	25	24	health	health	NOUN
cuesj-1198	25	25	-	-	PUNCT
cuesj-1198	25	26	care	care	NOUN
cuesj-1198	25	27	analytics	analytic	NOUN
cuesj-1198	25	28	and	and	CCONJ
cuesj-1198	25	29	ushering	usher	VERB
cuesj-1198	25	30	in	in	ADP
cuesj-1198	25	31	a	a	DET
cuesj-1198	25	32	new	new	ADJ
cuesj-1198	25	33	era	era	NOUN
cuesj-1198	25	34	of	of	ADP
cuesj-1198	25	35	personalized	personalized	ADJ
cuesj-1198	25	36	health	health	NOUN
cuesj-1198	25	37	care	care	NOUN
cuesj-1198	25	38	.	.	PUNCT
cuesj-1198	26	1	this	this	DET
cuesj-1198	26	2	study	study	NOUN
cuesj-1198	26	3	contributes	contribute	VERB
cuesj-1198	26	4	to	to	ADP
cuesj-1198	26	5	the	the	DET
cuesj-1198	26	6	evolving	evolve	VERB
cuesj-1198	26	7	dialog	dialog	NOUN
cuesj-1198	26	8	on	on	ADP
cuesj-1198	26	9	the	the	DET
cuesj-1198	26	10	intersection	intersection	NOUN
cuesj-1198	26	11	of	of	ADP
cuesj-1198	26	12	data	datum	NOUN
cuesj-1198	26	13	science	science	NOUN
cuesj-1198	26	14	and	and	CCONJ
cuesj-1198	26	15	health	health	NOUN
cuesj-1198	26	16	care	care	NOUN
cuesj-1198	26	17	,	,	PUNCT
cuesj-1198	26	18	where	where	SCONJ
cuesj-1198	26	19	innovative	innovative	ADJ
cuesj-1198	26	20	methodologies	methodology	NOUN
cuesj-1198	26	21	hold	hold	VERB
cuesj-1198	26	22	the	the	DET
cuesj-1198	26	23	potential	potential	NOUN
cuesj-1198	26	24	to	to	PART
cuesj-1198	26	25	revolutionize	revolutionize	VERB
cuesj-1198	26	26	patient	patient	ADJ
cuesj-1198	26	27	-	-	PUNCT
cuesj-1198	26	28	centric	centric	NOUN
cuesj-1198	26	29	care	care	NOUN
cuesj-1198	26	30	and	and	CCONJ
cuesj-1198	26	31	well	well	ADV
cuesj-1198	26	32	-	-	PUNCT
cuesj-1198	26	33	being	being	NOUN
cuesj-1198	26	34	.	.	PUNCT
cuesj-1198	27	1	related	relate	VERB
cuesj-1198	27	2	work	work	NOUN
cuesj-1198	27	3	mahesa[3	mahesa[3	PROPN
cuesj-1198	27	4	]	]	PUNCT
cuesj-1198	27	5	study	study	NOUN
cuesj-1198	27	6	addresses	address	VERB
cuesj-1198	27	7	the	the	DET
cuesj-1198	27	8	critical	critical	ADJ
cuesj-1198	27	9	need	need	NOUN
cuesj-1198	27	10	for	for	ADP
cuesj-1198	27	11	efficient	efficient	ADJ
cuesj-1198	27	12	brain	brain	NOUN
cuesj-1198	27	13	tumor	tumor	NOUN
cuesj-1198	27	14	segmentation	segmentation	NOUN
cuesj-1198	27	15	in	in	ADP
cuesj-1198	27	16	medical	medical	ADJ
cuesj-1198	27	17	imaging	imaging	NOUN
cuesj-1198	27	18	,	,	PUNCT
cuesj-1198	27	19	aiming	aim	VERB
cuesj-1198	27	20	to	to	PART
cuesj-1198	27	21	expedite	expedite	VERB
cuesj-1198	27	22	the	the	DET
cuesj-1198	27	23	analysis	analysis	NOUN
cuesj-1198	27	24	process	process	NOUN
cuesj-1198	27	25	and	and	CCONJ
cuesj-1198	27	26	facilitate	facilitate	VERB
cuesj-1198	27	27	timely	timely	ADJ
cuesj-1198	27	28	patient	patient	ADJ
cuesj-1198	27	29	treatment	treatment	NOUN
cuesj-1198	27	30	.	.	PUNCT
cuesj-1198	28	1	traditional	traditional	ADJ
cuesj-1198	28	2	manual	manual	ADJ
cuesj-1198	28	3	segmentation	segmentation	NOUN
cuesj-1198	28	4	methods	method	NOUN
cuesj-1198	28	5	are	be	AUX
cuesj-1198	28	6	time	time	NOUN
cuesj-1198	28	7	-	-	PUNCT
cuesj-1198	28	8	consuming	consume	VERB
cuesj-1198	28	9	,	,	PUNCT
cuesj-1198	28	10	causing	cause	VERB
cuesj-1198	28	11	delays	delay	NOUN
cuesj-1198	28	12	in	in	ADP
cuesj-1198	28	13	treatment	treatment	NOUN
cuesj-1198	28	14	initiation	initiation	NOUN
cuesj-1198	28	15	and	and	CCONJ
cuesj-1198	28	16	impeding	impede	VERB
cuesj-1198	28	17	the	the	DET
cuesj-1198	28	18	timely	timely	ADJ
cuesj-1198	28	19	dissemination	dissemination	NOUN
cuesj-1198	28	20	of	of	ADP
cuesj-1198	28	21	health	health	NOUN
cuesj-1198	28	22	information.[4	information.[4	X
cuesj-1198	28	23	]	]	X
cuesj-1198	28	24	to	to	PART
cuesj-1198	28	25	automate	automate	VERB
cuesj-1198	28	26	this	this	DET
cuesj-1198	28	27	process	process	NOUN
cuesj-1198	28	28	,	,	PUNCT
cuesj-1198	28	29	the	the	DET
cuesj-1198	28	30	research	research	NOUN
cuesj-1198	28	31	proposes	propose	VERB
cuesj-1198	28	32	an	an	DET
cuesj-1198	28	33	enhancement	enhancement	NOUN
cuesj-1198	28	34	to	to	ADP
cuesj-1198	28	35	an	an	DET
cuesj-1198	28	36	existing	exist	VERB
cuesj-1198	28	37	partition	partition	NOUN
cuesj-1198	28	38	-	-	PUNCT
cuesj-1198	28	39	based	base	VERB
cuesj-1198	28	40	brain	brain	NOUN
cuesj-1198	28	41	tumor	tumor	NOUN
cuesj-1198	28	42	segmentation	segmentation	NOUN
cuesj-1198	28	43	algorithm.[5	algorithm.[5	VERB
cuesj-1198	28	44	-	-	PUNCT
cuesj-1198	28	45	8	8	NUM
cuesj-1198	28	46	]	]	PUNCT
cuesj-1198	28	47	the	the	DET
cuesj-1198	28	48	chosen	choose	VERB
cuesj-1198	28	49	image	image	NOUN
cuesj-1198	28	50	segmentation	segmentation	NOUN
cuesj-1198	28	51	algorithm	algorithm	NOUN
cuesj-1198	28	52	is	be	AUX
cuesj-1198	28	53	fcm	fcm	PROPN
cuesj-1198	28	54	,	,	PUNCT
cuesj-1198	28	55	a	a	DET
cuesj-1198	28	56	widely	widely	ADV
cuesj-1198	28	57	used	use	VERB
cuesj-1198	28	58	method	method	NOUN
cuesj-1198	28	59	.	.	PUNCT
cuesj-1198	29	1	to	to	PART
cuesj-1198	29	2	further	far	ADV
cuesj-1198	29	3	optimize	optimize	VERB
cuesj-1198	29	4	the	the	DET
cuesj-1198	29	5	segmentation	segmentation	NOUN
cuesj-1198	29	6	process	process	NOUN
cuesj-1198	29	7	,	,	PUNCT
cuesj-1198	29	8	pso	pso	NOUN
cuesj-1198	29	9	is	be	AUX
cuesj-1198	29	10	introduced	introduce	VERB
cuesj-1198	29	11	.	.	PUNCT
cuesj-1198	30	1	this	this	DET
cuesj-1198	30	2	optimization	optimization	NOUN
cuesj-1198	30	3	algorithm	algorithm	NOUN
cuesj-1198	30	4	operates	operate	VERB
cuesj-1198	30	5	concurrently	concurrently	ADV
cuesj-1198	30	6	with	with	ADP
cuesj-1198	30	7	the	the	DET
cuesj-1198	30	8	segmentation	segmentation	NOUN
cuesj-1198	30	9	algorithm	algorithm	NOUN
cuesj-1198	30	10	,	,	PUNCT
cuesj-1198	30	11	enhancing	enhance	VERB
cuesj-1198	30	12	its	its	PRON
cuesj-1198	30	13	efficiency	efficiency	NOUN
cuesj-1198	30	14	.	.	PUNCT
cuesj-1198	31	1	the	the	DET
cuesj-1198	31	2	evaluation	evaluation	NOUN
cuesj-1198	31	3	involves	involve	VERB
cuesj-1198	31	4	comparing	compare	VERB
cuesj-1198	31	5	the	the	DET
cuesj-1198	31	6	objective	objective	ADJ
cuesj-1198	31	7	function	function	NOUN
cuesj-1198	31	8	of	of	ADP
cuesj-1198	31	9	the	the	DET
cuesj-1198	31	10	original	original	ADJ
cuesj-1198	31	11	algorithm	algorithm	NOUN
cuesj-1198	31	12	(	(	PUNCT
cuesj-1198	31	13	without	without	ADP
cuesj-1198	31	14	optimization	optimization	NOUN
cuesj-1198	31	15	)	)	PUNCT
cuesj-1198	31	16	with	with	ADP
cuesj-1198	31	17	the	the	DET
cuesj-1198	31	18	optimized	optimize	VERB
cuesj-1198	31	19	version	version	NOUN
cuesj-1198	31	20	(	(	PUNCT
cuesj-1198	31	21	fcm	fcm	X
cuesj-1198	31	22	-	-	NOUN
cuesj-1198	31	23	pso	pso	NOUN
cuesj-1198	31	24	)	)	PUNCT
cuesj-1198	31	25	using	use	VERB
cuesj-1198	31	26	six	six	NUM
cuesj-1198	31	27	different	different	ADJ
cuesj-1198	31	28	medical	medical	ADJ
cuesj-1198	31	29	images	image	NOUN
cuesj-1198	31	30	.	.	PUNCT
cuesj-1198	32	1	the	the	DET
cuesj-1198	32	2	key	key	ADJ
cuesj-1198	32	3	focus	focus	NOUN
cuesj-1198	32	4	is	be	AUX
cuesj-1198	32	5	on	on	ADP
cuesj-1198	32	6	minimizing	minimize	VERB
cuesj-1198	32	7	the	the	DET
cuesj-1198	32	8	objective	objective	ADJ
cuesj-1198	32	9	function	function	NOUN
cuesj-1198	32	10	,	,	PUNCT
cuesj-1198	32	11	which	which	PRON
cuesj-1198	32	12	serves	serve	VERB
cuesj-1198	32	13	as	as	ADP
cuesj-1198	32	14	a	a	DET
cuesj-1198	32	15	measure	measure	NOUN
cuesj-1198	32	16	of	of	ADP
cuesj-1198	32	17	segmentation	segmentation	NOUN
cuesj-1198	32	18	quality	quality	NOUN
cuesj-1198	32	19	.	.	PUNCT
cuesj-1198	33	1	the	the	DET
cuesj-1198	33	2	results	result	NOUN
cuesj-1198	33	3	demonstrate	demonstrate	VERB
cuesj-1198	33	4	that	that	SCONJ
cuesj-1198	33	5	the	the	DET
cuesj-1198	33	6	fcm	fcm	NOUN
cuesj-1198	33	7	optimized	optimize	VERB
cuesj-1198	33	8	by	by	ADP
cuesj-1198	33	9	pso	pso	NOUN
cuesj-1198	33	10	(	(	PUNCT
cuesj-1198	33	11	fcm	fcm	X
cuesj-1198	33	12	-	-	NOUN
cuesj-1198	33	13	pso	pso	NOUN
cuesj-1198	33	14	)	)	PUNCT
cuesj-1198	33	15	achieves	achieve	VERB
cuesj-1198	33	16	a	a	DET
cuesj-1198	33	17	lower	low	ADJ
cuesj-1198	33	18	objective	objective	ADJ
cuesj-1198	33	19	function	function	NOUN
cuesj-1198	33	20	compared	compare	VERB
cuesj-1198	33	21	to	to	ADP
cuesj-1198	33	22	the	the	DET
cuesj-1198	33	23	original	original	ADJ
cuesj-1198	33	24	fcm	fcm	X
cuesj-1198	33	25	across	across	ADP
cuesj-1198	33	26	the	the	DET
cuesj-1198	33	27	six	six	NUM
cuesj-1198	33	28	images	image	NOUN
cuesj-1198	33	29	.	.	PUNCT
cuesj-1198	34	1	this	this	DET
cuesj-1198	34	2	outcome	outcome	NOUN
cuesj-1198	34	3	indicates	indicate	VERB
cuesj-1198	34	4	that	that	SCONJ
cuesj-1198	34	5	the	the	DET
cuesj-1198	34	6	optimized	optimize	VERB
cuesj-1198	34	7	fcm	fcm	NOUN
cuesj-1198	34	8	is	be	AUX
cuesj-1198	34	9	closer	close	ADJ
cuesj-1198	34	10	to	to	ADP
cuesj-1198	34	11	the	the	DET
cuesj-1198	34	12	global	global	ADJ
cuesj-1198	34	13	minimum	minimum	NOUN
cuesj-1198	34	14	,	,	PUNCT
cuesj-1198	34	15	showcasing	showcase	VERB
cuesj-1198	34	16	its	its	PRON
cuesj-1198	34	17	potential	potential	NOUN
cuesj-1198	34	18	to	to	PART
cuesj-1198	34	19	significantly	significantly	ADV
cuesj-1198	34	20	enhance	enhance	VERB
cuesj-1198	34	21	the	the	DET
cuesj-1198	34	22	segmentation	segmentation	NOUN
cuesj-1198	34	23	algorithm	algorithm	NOUN
cuesj-1198	34	24	’s	’s	PART
cuesj-1198	34	25	performance.[9,10	performance.[9,10	NOUN
cuesj-1198	34	26	]	]	PUNCT
cuesj-1198	34	27	siringoringo[5	siringoringo[5	NUM
cuesj-1198	34	28	]	]	PUNCT
cuesj-1198	34	29	study	study	NOUN
cuesj-1198	34	30	addresses	address	VERB
cuesj-1198	34	31	a	a	DET
cuesj-1198	34	32	common	common	ADJ
cuesj-1198	34	33	challenge	challenge	NOUN
cuesj-1198	34	34	in	in	ADP
cuesj-1198	34	35	fcm	fcm	PROPN
cuesj-1198	34	36	,	,	PUNCT
cuesj-1198	34	37	a	a	DET
cuesj-1198	34	38	well	well	ADV
cuesj-1198	34	39	-	-	PUNCT
cuesj-1198	34	40	known	know	VERB
cuesj-1198	34	41	clustering	clustering	NOUN
cuesj-1198	34	42	algorithm	algorithm	NOUN
cuesj-1198	34	43	,	,	PUNCT
cuesj-1198	34	44	where	where	SCONJ
cuesj-1198	34	45	sensitivity	sensitivity	NOUN
cuesj-1198	34	46	to	to	ADP
cuesj-1198	34	47	initial	initial	ADJ
cuesj-1198	34	48	cluster	cluster	NOUN
cuesj-1198	34	49	center	center	NOUN
cuesj-1198	34	50	values	value	NOUN
cuesj-1198	34	51	and	and	CCONJ
cuesj-1198	34	52	susceptibility	susceptibility	NOUN
cuesj-1198	34	53	to	to	ADP
cuesj-1198	34	54	local	local	ADJ
cuesj-1198	34	55	optima	optima	PROPN
cuesj-1198	34	56	can	can	AUX
cuesj-1198	34	57	impact	impact	VERB
cuesj-1198	34	58	performance	performance	NOUN
cuesj-1198	34	59	.	.	PUNCT
cuesj-1198	35	1	in	in	ADP
cuesj-1198	35	2	response	response	NOUN
cuesj-1198	35	3	,	,	PUNCT
cuesj-1198	35	4	this	this	DET
cuesj-1198	35	5	research	research	NOUN
cuesj-1198	35	6	introduces	introduce	VERB
cuesj-1198	35	7	an	an	DET
cuesj-1198	35	8	enhanced	enhanced	ADJ
cuesj-1198	35	9	version	version	NOUN
cuesj-1198	35	10	,	,	PUNCT
cuesj-1198	35	11	combining	combine	VERB
cuesj-1198	35	12	fcm	fcm	PROPN
cuesj-1198	35	13	with	with	ADP
cuesj-1198	35	14	pso	pso	NOUN
cuesj-1198	35	15	for	for	ADP
cuesj-1198	35	16	effective	effective	ADJ
cuesj-1198	35	17	sentiment	sentiment	NOUN
cuesj-1198	35	18	clustering	cluster	VERB
cuesj-1198	35	19	in	in	ADP
cuesj-1198	35	20	high	high	ADV
cuesj-1198	35	21	-	-	PUNCT
cuesj-1198	35	22	dimensional	dimensional	ADJ
cuesj-1198	35	23	and	and	CCONJ
cuesj-1198	35	24	unstructured	unstructured	ADJ
cuesj-1198	35	25	data	datum	NOUN
cuesj-1198	35	26	.	.	PUNCT
cuesj-1198	36	1	pso	pso	NOUN
cuesj-1198	36	2	is	be	AUX
cuesj-1198	36	3	employed	employ	VERB
cuesj-1198	36	4	to	to	PART
cuesj-1198	36	5	optimize	optimize	VERB
cuesj-1198	36	6	the	the	DET
cuesj-1198	36	7	determination	determination	NOUN
cuesj-1198	36	8	of	of	ADP
cuesj-1198	36	9	initial	initial	ADJ
cuesj-1198	36	10	cluster	cluster	NOUN
cuesj-1198	36	11	centers	center	NOUN
cuesj-1198	36	12	,	,	PUNCT
cuesj-1198	36	13	mitigating	mitigate	VERB
cuesj-1198	36	14	the	the	DET
cuesj-1198	36	15	sensitivity	sensitivity	NOUN
cuesj-1198	36	16	issues	issue	NOUN
cuesj-1198	36	17	associated	associate	VERB
cuesj-1198	36	18	with	with	ADP
cuesj-1198	36	19	traditional	traditional	ADJ
cuesj-1198	36	20	fcm	fcm	X
cuesj-1198	36	21	.	.	PUNCT
cuesj-1198	37	1	the	the	DET
cuesj-1198	37	2	results	result	NOUN
cuesj-1198	37	3	demonstrate	demonstrate	VERB
cuesj-1198	37	4	that	that	SCONJ
cuesj-1198	37	5	the	the	DET
cuesj-1198	37	6	proposed	propose	VERB
cuesj-1198	37	7	fcm	fcm	NOUN
cuesj-1198	37	8	-	-	ADJ
cuesj-1198	37	9	pso	pso	ADJ
cuesj-1198	37	10	outperforms	outperform	NOUN
cuesj-1198	37	11	conventional	conventional	ADJ
cuesj-1198	37	12	fcm	fcm	X
cuesj-1198	37	13	across	across	ADP
cuesj-1198	37	14	various	various	ADJ
cuesj-1198	37	15	metrics	metric	NOUN
cuesj-1198	37	16	,	,	PUNCT
cuesj-1198	37	17	including	include	VERB
cuesj-1198	37	18	rand	rand	NOUN
cuesj-1198	37	19	index	index	NOUN
cuesj-1198	37	20	,	,	PUNCT
cuesj-1198	37	21	f	f	NOUN
cuesj-1198	37	22	-	-	PUNCT
cuesj-1198	37	23	measure	measure	NOUN
cuesj-1198	37	24	,	,	PUNCT
cuesj-1198	37	25	and	and	CCONJ
cuesj-1198	37	26	objective	objective	ADJ
cuesj-1198	37	27	function	function	NOUN
cuesj-1198	37	28	values	value	NOUN
cuesj-1198	37	29	(	(	PUNCT
cuesj-1198	37	30	ofv	ofv	PROPN
cuesj-1198	37	31	)	)	PUNCT
cuesj-1198	37	32	.	.	PUNCT
cuesj-1198	38	1	notably	notably	ADV
cuesj-1198	38	2	,	,	PUNCT
cuesj-1198	38	3	the	the	DET
cuesj-1198	38	4	superior	superior	ADJ
cuesj-1198	38	5	ofv	ofv	NOUN
cuesj-1198	38	6	value	value	NOUN
cuesj-1198	38	7	indicates	indicate	VERB
cuesj-1198	38	8	that	that	SCONJ
cuesj-1198	38	9	fcm	fcm	ADJ
cuesj-1198	38	10	-	-	ADJ
cuesj-1198	38	11	pso	pso	ADJ
cuesj-1198	38	12	exhibits	exhibit	VERB
cuesj-1198	38	13	faster	fast	ADJ
cuesj-1198	38	14	convergence	convergence	NOUN
cuesj-1198	38	15	and	and	CCONJ
cuesj-1198	38	16	improved	improve	VERB
cuesj-1198	38	17	noisehandling	noisehandle	VERB
cuesj-1198	38	18	capabilities	capability	NOUN
cuesj-1198	38	19	.	.	PUNCT
cuesj-1198	39	1	this	this	DET
cuesj-1198	39	2	enhancement	enhancement	NOUN
cuesj-1198	39	3	suggests	suggest	VERB
cuesj-1198	39	4	that	that	SCONJ
cuesj-1198	39	5	the	the	DET
cuesj-1198	39	6	fcm	fcm	ADJ
cuesj-1198	39	7	-	-	ADJ
cuesj-1198	39	8	pso	pso	ADJ
cuesj-1198	39	9	algorithm	algorithm	NOUN
cuesj-1198	39	10	offers	offer	VERB
cuesj-1198	39	11	better	well	ADJ
cuesj-1198	39	12	overall	overall	ADJ
cuesj-1198	39	13	performance	performance	NOUN
cuesj-1198	39	14	,	,	PUNCT
cuesj-1198	39	15	making	make	VERB
cuesj-1198	39	16	it	it	PRON
cuesj-1198	39	17	a	a	DET
cuesj-1198	39	18	promising	promising	ADJ
cuesj-1198	39	19	solution	solution	NOUN
cuesj-1198	39	20	for	for	ADP
cuesj-1198	39	21	sentiment	sentiment	NOUN
cuesj-1198	39	22	clustering	cluster	VERB
cuesj-1198	39	23	in	in	ADP
cuesj-1198	39	24	highdimensional	highdimensional	ADJ
cuesj-1198	39	25	and	and	CCONJ
cuesj-1198	39	26	unstructured	unstructured	ADJ
cuesj-1198	39	27	datasets	dataset	NOUN
cuesj-1198	39	28	.	.	PUNCT
cuesj-1198	40	1	the	the	DET
cuesj-1198	40	2	papers[6,11	papers[6,11	PROPN
cuesj-1198	40	3	]	]	PUNCT
cuesj-1198	40	4	showed	show	VERB
cuesj-1198	40	5	that	that	SCONJ
cuesj-1198	40	6	the	the	DET
cuesj-1198	40	7	ever	ever	ADV
cuesj-1198	40	8	-	-	PUNCT
cuesj-1198	40	9	evolving	evolve	VERB
cuesj-1198	40	10	landscape	landscape	NOUN
cuesj-1198	40	11	of	of	ADP
cuesj-1198	40	12	artificial	artificial	ADJ
cuesj-1198	40	13	intelligence	intelligence	NOUN
cuesj-1198	40	14	has	have	AUX
cuesj-1198	40	15	consistently	consistently	ADV
cuesj-1198	40	16	spotlighted	spotlight	VERB
cuesj-1198	40	17	image	image	NOUN
cuesj-1198	40	18	processing	processing	NOUN
cuesj-1198	40	19	technology	technology	NOUN
cuesj-1198	40	20	as	as	ADP
cuesj-1198	40	21	a	a	DET
cuesj-1198	40	22	challenging	challenging	ADJ
cuesj-1198	40	23	and	and	CCONJ
cuesj-1198	40	24	prominent	prominent	ADJ
cuesj-1198	40	25	area	area	NOUN
cuesj-1198	40	26	of	of	ADP
cuesj-1198	40	27	research	research	NOUN
cuesj-1198	40	28	.	.	PUNCT
cuesj-1198	41	1	with	with	ADP
cuesj-1198	41	2	the	the	DET
cuesj-1198	41	3	advent	advent	NOUN
cuesj-1198	41	4	and	and	CCONJ
cuesj-1198	41	5	progression	progression	NOUN
cuesj-1198	41	6	of	of	ADP
cuesj-1198	41	7	machine	machine	NOUN
cuesj-1198	41	8	learning	learning	NOUN
cuesj-1198	41	9	and	and	CCONJ
cuesj-1198	41	10	deep	deep	ADJ
cuesj-1198	41	11	learning	learning	NOUN
cuesj-1198	41	12	methodologies	methodology	NOUN
cuesj-1198	41	13	,	,	PUNCT
cuesj-1198	41	14	swarm	swarm	NOUN
cuesj-1198	41	15	intelligence	intelligence	NOUN
cuesj-1198	41	16	algorithms	algorithm	NOUN
cuesj-1198	41	17	have	have	AUX
cuesj-1198	41	18	emerged	emerge	VERB
cuesj-1198	41	19	as	as	ADP
cuesj-1198	41	20	a	a	DET
cuesj-1198	41	21	focal	focal	ADJ
cuesj-1198	41	22	point	point	NOUN
cuesj-1198	41	23	of	of	ADP
cuesj-1198	41	24	investigation	investigation	NOUN
cuesj-1198	41	25	.	.	PUNCT
cuesj-1198	42	1	the	the	DET
cuesj-1198	42	2	integration	integration	NOUN
cuesj-1198	42	3	of	of	ADP
cuesj-1198	42	4	image	image	NOUN
cuesj-1198	42	5	processing	processing	NOUN
cuesj-1198	42	6	technology	technology	NOUN
cuesj-1198	42	7	with	with	ADP
cuesj-1198	42	8	swarm	swarm	NOUN
cuesj-1198	42	9	intelligence	intelligence	NOUN
cuesj-1198	42	10	algorithms	algorithm	NOUN
cuesj-1198	42	11	has	have	AUX
cuesj-1198	42	12	proven	prove	VERB
cuesj-1198	42	13	to	to	PART
cuesj-1198	42	14	be	be	AUX
cuesj-1198	42	15	a	a	DET
cuesj-1198	42	16	novel	novel	ADJ
cuesj-1198	42	17	and	and	CCONJ
cuesj-1198	42	18	effective	effective	ADJ
cuesj-1198	42	19	means	mean	NOUN
cuesj-1198	42	20	of	of	ADP
cuesj-1198	42	21	enhancement	enhancement	NOUN
cuesj-1198	42	22	.	.	PUNCT
cuesj-1198	43	1	swarm	swarm	NOUN
cuesj-1198	43	2	intelligence	intelligence	NOUN
cuesj-1198	43	3	algorithms	algorithm	NOUN
cuesj-1198	43	4	emulate	emulate	VERB
cuesj-1198	43	5	the	the	DET
cuesj-1198	43	6	evolutionary	evolutionary	ADJ
cuesj-1198	43	7	principles	principle	NOUN
cuesj-1198	43	8	,	,	PUNCT
cuesj-1198	43	9	behavioral	behavioral	ADJ
cuesj-1198	43	10	characteristics	characteristic	NOUN
cuesj-1198	43	11	,	,	PUNCT
cuesj-1198	43	12	and	and	CCONJ
cuesj-1198	43	13	cognitive	cognitive	ADJ
cuesj-1198	43	14	patterns	pattern	NOUN
cuesj-1198	43	15	observed	observe	VERB
cuesj-1198	43	16	in	in	ADP
cuesj-1198	43	17	biological	biological	ADJ
cuesj-1198	43	18	populations	population	NOUN
cuesj-1198	43	19	such	such	ADJ
cuesj-1198	43	20	as	as	ADP
cuesj-1198	43	21	insects	insect	NOUN
cuesj-1198	43	22	,	,	PUNCT
cuesj-1198	43	23	birds	bird	NOUN
cuesj-1198	43	24	,	,	PUNCT
cuesj-1198	43	25	and	and	CCONJ
cuesj-1198	43	26	natural	natural	ADJ
cuesj-1198	43	27	phenomena	phenomenon	NOUN
cuesj-1198	43	28	.	.	PUNCT
cuesj-1198	44	1	these	these	DET
cuesj-1198	44	2	algorithms	algorithm	NOUN
cuesj-1198	44	3	,	,	PUNCT
cuesj-1198	44	4	including	include	VERB
cuesj-1198	44	5	the	the	DET
cuesj-1198	44	6	ant	ant	ADJ
cuesj-1198	44	7	colony	colony	NOUN
cuesj-1198	44	8	algorithm	algorithm	NOUN
cuesj-1198	44	9	,	,	PUNCT
cuesj-1198	44	10	pso	pso	NOUN
cuesj-1198	44	11	algorithm	algorithm	NOUN
cuesj-1198	44	12	,	,	PUNCT
cuesj-1198	44	13	sparrow	sparrow	ADJ
cuesj-1198	44	14	search	search	NOUN
cuesj-1198	44	15	algorithm	algorithm	NOUN
cuesj-1198	44	16	,	,	PUNCT
cuesj-1198	44	17	bat	bat	NOUN
cuesj-1198	44	18	algorithm	algorithm	NOUN
cuesj-1198	44	19	,	,	PUNCT
cuesj-1198	44	20	and	and	CCONJ
cuesj-1198	44	21	thimble	thimble	ADJ
cuesj-1198	44	22	colony	colony	NOUN
cuesj-1198	44	23	algorithm	algorithm	NOUN
cuesj-1198	44	24	,	,	PUNCT
cuesj-1198	44	25	exhibit	exhibit	VERB
cuesj-1198	44	26	efficient	efficient	ADJ
cuesj-1198	44	27	and	and	CCONJ
cuesj-1198	44	28	parallel	parallel	ADJ
cuesj-1198	44	29	global	global	ADJ
cuesj-1198	44	30	optimization	optimization	NOUN
cuesj-1198	44	31	capabilities	capability	NOUN
cuesj-1198	44	32	,	,	PUNCT
cuesj-1198	44	33	demonstrating	demonstrate	VERB
cuesj-1198	44	34	robust	robust	ADJ
cuesj-1198	44	35	optimization	optimization	NOUN
cuesj-1198	44	36	performance.[12	performance.[12	NOUN
cuesj-1198	44	37	]	]	PUNCT
cuesj-1198	44	38	this	this	DET
cuesj-1198	44	39	paper	paper	NOUN
cuesj-1198	44	40	delves	delve	VERB
cuesj-1198	44	41	into	into	ADP
cuesj-1198	44	42	a	a	DET
cuesj-1198	44	43	comprehensive	comprehensive	ADJ
cuesj-1198	44	44	study	study	NOUN
cuesj-1198	44	45	of	of	ADP
cuesj-1198	44	46	various	various	ADJ
cuesj-1198	44	47	swarm	swarm	NOUN
cuesj-1198	44	48	intelligent	intelligent	ADJ
cuesj-1198	44	49	optimization	optimization	NOUN
cuesj-1198	44	50	algorithms	algorithm	NOUN
cuesj-1198	44	51	,	,	PUNCT
cuesj-1198	44	52	exploring	explore	VERB
cuesj-1198	44	53	their	their	PRON
cuesj-1198	44	54	models	model	NOUN
cuesj-1198	44	55	,	,	PUNCT
cuesj-1198	44	56	features	feature	NOUN
cuesj-1198	44	57	,	,	PUNCT
cuesj-1198	44	58	improvement	improvement	NOUN
cuesj-1198	44	59	strategies	strategy	NOUN
cuesj-1198	44	60	,	,	PUNCT
cuesj-1198	44	61	and	and	CCONJ
cuesj-1198	44	62	application	application	NOUN
cuesj-1198	44	63	domains	domain	NOUN
cuesj-1198	44	64	within	within	ADP
cuesj-1198	44	65	image	image	NOUN
cuesj-1198	44	66	processing	processing	NOUN
cuesj-1198	44	67	.	.	PUNCT
cuesj-1198	45	1	the	the	DET
cuesj-1198	45	2	applications	application	NOUN
cuesj-1198	45	3	cover	cover	VERB
cuesj-1198	45	4	a	a	DET
cuesj-1198	45	5	spectrum	spectrum	NOUN
cuesj-1198	45	6	of	of	ADP
cuesj-1198	45	7	image	image	NOUN
cuesj-1198	45	8	-	-	PUNCT
cuesj-1198	45	9	processing	process	VERB
cuesj-1198	45	10	tasks	task	NOUN
cuesj-1198	45	11	,	,	PUNCT
cuesj-1198	45	12	including	include	VERB
cuesj-1198	45	13	segmentation	segmentation	NOUN
cuesj-1198	45	14	,	,	PUNCT
cuesj-1198	45	15	matching	matching	NOUN
cuesj-1198	45	16	,	,	PUNCT
cuesj-1198	45	17	classification	classification	NOUN
cuesj-1198	45	18	,	,	PUNCT
cuesj-1198	45	19	feature	feature	NOUN
cuesj-1198	45	20	extraction	extraction	NOUN
cuesj-1198	45	21	,	,	PUNCT
cuesj-1198	45	22	and	and	CCONJ
cuesj-1198	45	23	edge	edge	NOUN
cuesj-1198	45	24	detection	detection	NOUN
cuesj-1198	45	25	.	.	PUNCT
cuesj-1198	46	1	the	the	DET
cuesj-1198	46	2	analysis	analysis	NOUN
cuesj-1198	46	3	involves	involve	VERB
cuesj-1198	46	4	a	a	DET
cuesj-1198	46	5	thorough	thorough	ADJ
cuesj-1198	46	6	examination	examination	NOUN
cuesj-1198	46	7	of	of	ADP
cuesj-1198	46	8	theoretical	theoretical	ADJ
cuesj-1198	46	9	research	research	NOUN
cuesj-1198	46	10	,	,	PUNCT
cuesj-1198	46	11	improvement	improvement	NOUN
cuesj-1198	46	12	strategies	strategy	NOUN
cuesj-1198	46	13	,	,	PUNCT
cuesj-1198	46	14	and	and	CCONJ
cuesj-1198	46	15	practical	practical	ADJ
cuesj-1198	46	16	applications	application	NOUN
cuesj-1198	46	17	in	in	ADP
cuesj-1198	46	18	image	image	NOUN
cuesj-1198	46	19	processing	processing	NOUN
cuesj-1198	46	20	.	.	PUNCT
cuesj-1198	47	1	a	a	DET
cuesj-1198	47	2	comparative	comparative	ADJ
cuesj-1198	47	3	study	study	NOUN
cuesj-1198	47	4	is	be	AUX
cuesj-1198	47	5	conducted	conduct	VERB
cuesj-1198	47	6	to	to	PART
cuesj-1198	47	7	discern	discern	VERB
cuesj-1198	47	8	the	the	DET
cuesj-1198	47	9	strengths	strength	NOUN
cuesj-1198	47	10	and	and	CCONJ
cuesj-1198	47	11	weaknesses	weakness	NOUN
cuesj-1198	47	12	of	of	ADP
cuesj-1198	47	13	different	different	ADJ
cuesj-1198	47	14	algorithms.[13	algorithms.[13	NOUN
cuesj-1198	47	15	]	]	PUNCT
cuesj-1198	47	16	drawing	draw	VERB
cuesj-1198	47	17	insights	insight	NOUN
cuesj-1198	47	18	from	from	ADP
cuesj-1198	47	19	existing	exist	VERB
cuesj-1198	47	20	literature	literature	NOUN
cuesj-1198	47	21	,	,	PUNCT
cuesj-1198	47	22	the	the	DET
cuesj-1198	47	23	paper	paper	NOUN
cuesj-1198	47	24	scrutinizes	scrutinize	VERB
cuesj-1198	47	25	improvement	improvement	NOUN
cuesj-1198	47	26	methods	method	NOUN
cuesj-1198	47	27	for	for	ADP
cuesj-1198	47	28	the	the	DET
cuesj-1198	47	29	aforementioned	aforementioned	ADJ
cuesj-1198	47	30	algorithms	algorithm	NOUN
cuesj-1198	47	31	and	and	CCONJ
cuesj-1198	47	32	provides	provide	VERB
cuesj-1198	47	33	a	a	DET
cuesj-1198	47	34	holistic	holistic	ADJ
cuesj-1198	47	35	overview	overview	NOUN
cuesj-1198	47	36	of	of	ADP
cuesj-1198	47	37	their	their	PRON
cuesj-1198	47	38	collective	collective	ADJ
cuesj-1198	47	39	impact	impact	NOUN
cuesj-1198	47	40	on	on	ADP
cuesj-1198	47	41	advancing	advance	VERB
cuesj-1198	47	42	image	image	NOUN
cuesj-1198	47	43	processing	processing	NOUN
cuesj-1198	47	44	technology	technology	NOUN
cuesj-1198	47	45	.	.	PUNCT
cuesj-1198	48	1	the	the	DET
cuesj-1198	48	2	representative	representative	ADJ
cuesj-1198	48	3	algorithms	algorithm	NOUN
cuesj-1198	48	4	,	,	PUNCT
cuesj-1198	48	5	particularly	particularly	ADV
cuesj-1198	48	6	those	those	PRON
cuesj-1198	48	7	fused	fuse	VERB
cuesj-1198	48	8	with	with	ADP
cuesj-1198	48	9	image	image	NOUN
cuesj-1198	48	10	segmentation	segmentation	NOUN
cuesj-1198	48	11	technology	technology	NOUN
cuesj-1198	48	12	,	,	PUNCT
cuesj-1198	48	13	are	be	AUX
cuesj-1198	48	14	identified	identify	VERB
cuesj-1198	48	15	for	for	ADP
cuesj-1198	48	16	in	in	ADP
cuesj-1198	48	17	-	-	PUNCT
cuesj-1198	48	18	depth	depth	NOUN
cuesj-1198	48	19	analysis	analysis	NOUN
cuesj-1198	48	20	and	and	CCONJ
cuesj-1198	48	21	summarization	summarization	NOUN
cuesj-1198	48	22	.	.	PUNCT
cuesj-1198	49	1	the	the	DET
cuesj-1198	49	2	paper	paper	NOUN
cuesj-1198	49	3	consolidates	consolidate	VERB
cuesj-1198	49	4	the	the	DET
cuesj-1198	49	5	diverse	diverse	ADJ
cuesj-1198	49	6	swarm	swarm	NOUN
cuesj-1198	49	7	intelligence	intelligence	NOUN
cuesj-1198	49	8	algorithms	algorithm	NOUN
cuesj-1198	49	9	,	,	PUNCT
cuesj-1198	49	10	highlighting	highlight	VERB
cuesj-1198	49	11	their	their	PRON
cuesj-1198	49	12	shared	share	VERB
cuesj-1198	49	13	framework	framework	NOUN
cuesj-1198	49	14	,	,	PUNCT
cuesj-1198	49	15	common	common	ADJ
cuesj-1198	49	16	traits	trait	NOUN
cuesj-1198	49	17	,	,	PUNCT
cuesj-1198	49	18	and	and	CCONJ
cuesj-1198	49	19	distinguishing	distinguish	VERB
cuesj-1198	49	20	features	feature	NOUN
cuesj-1198	49	21	.	.	PUNCT
cuesj-1198	50	1	it	it	PRON
cuesj-1198	50	2	also	also	ADV
cuesj-1198	50	3	acknowledges	acknowledge	VERB
cuesj-1198	50	4	existing	exist	VERB
cuesj-1198	50	5	challenges	challenge	NOUN
cuesj-1198	50	6	and	and	CCONJ
cuesj-1198	50	7	concludes	conclude	VERB
cuesj-1198	50	8	with	with	ADP
cuesj-1198	50	9	a	a	DET
cuesj-1198	50	10	forward	forward	ADV
cuesj-1198	50	11	-	-	PUNCT
cuesj-1198	50	12	looking	look	VERB
cuesj-1198	50	13	projection	projection	NOUN
cuesj-1198	50	14	of	of	ADP
cuesj-1198	50	15	future	future	ADJ
cuesj-1198	50	16	trends	trend	NOUN
cuesj-1198	50	17	in	in	ADP
cuesj-1198	50	18	this	this	DET
cuesj-1198	50	19	interdisciplinary	interdisciplinary	ADJ
cuesj-1198	50	20	domain.[14	domain.[14	PROPN
cuesj-1198	50	21	]	]	PUNCT
cuesj-1198	50	22	wu	wu	PROPN
cuesj-1198	50	23	et	et	PROPN
cuesj-1198	50	24	al.[10	al.[10	PROPN
cuesj-1198	50	25	]	]	PUNCT
cuesj-1198	50	26	paper	paper	NOUN
cuesj-1198	50	27	addresses	address	VERB
cuesj-1198	50	28	the	the	DET
cuesj-1198	50	29	challenge	challenge	NOUN
cuesj-1198	50	30	of	of	ADP
cuesj-1198	50	31	quality	quality	NOUN
cuesj-1198	50	32	detection	detection	NOUN
cuesj-1198	50	33	in	in	ADP
cuesj-1198	50	34	the	the	DET
cuesj-1198	50	35	production	production	NOUN
cuesj-1198	50	36	and	and	CCONJ
cuesj-1198	50	37	processing	processing	NOUN
cuesj-1198	50	38	of	of	ADP
cuesj-1198	50	39	stuffed	stuff	VERB
cuesj-1198	50	40	food	food	NOUN
cuesj-1198	50	41	,	,	PUNCT
cuesj-1198	50	42	focusing	focus	VERB
cuesj-1198	50	43	on	on	ADP
cuesj-1198	50	44	frozen	frozen	ADJ
cuesj-1198	50	45	dumplings	dumpling	NOUN
cuesj-1198	50	46	on	on	ADP
cuesj-1198	50	47	a	a	DET
cuesj-1198	50	48	conveyor	conveyor	NOUN
cuesj-1198	50	49	belt	belt	NOUN
cuesj-1198	50	50	.	.	PUNCT
cuesj-1198	51	1	the	the	DET
cuesj-1198	51	2	proposed	propose	VERB
cuesj-1198	51	3	solution	solution	NOUN
cuesj-1198	51	4	introduces	introduce	VERB
cuesj-1198	51	5	a	a	DET
cuesj-1198	51	6	small	small	ADJ
cuesj-1198	51	7	neighborhood	neighborhood	NOUN
cuesj-1198	51	8	clustering	cluster	VERB
cuesj-1198	51	9	algorithm	algorithm	NOUN
cuesj-1198	51	10	to	to	AUX
cuesj-1198	51	11	effectively	effectively	ADV
cuesj-1198	51	12	segment	segment	VERB
cuesj-1198	51	13	frozen	frozen	ADJ
cuesj-1198	51	14	dumpling	dumpling	NOUN
cuesj-1198	51	15	images	image	NOUN
cuesj-1198	51	16	,	,	PUNCT
cuesj-1198	51	17	enhancing	enhance	VERB
cuesj-1198	51	18	the	the	DET
cuesj-1198	51	19	overall	overall	ADJ
cuesj-1198	51	20	qualified	qualified	ADJ
cuesj-1198	51	21	rate	rate	NOUN
cuesj-1198	51	22	of	of	ADP
cuesj-1198	51	23	food	food	NOUN
cuesj-1198	51	24	quality	quality	NOUN
cuesj-1198	51	25	.	.	PUNCT
cuesj-1198	52	1	the	the	DET
cuesj-1198	52	2	method	method	NOUN
cuesj-1198	52	3	employs	employ	VERB
cuesj-1198	52	4	feature	feature	NOUN
cuesj-1198	52	5	vectors	vector	NOUN
cuesj-1198	52	6	constructed	construct	VERB
cuesj-1198	52	7	from	from	ADP
cuesj-1198	52	8	image	image	NOUN
cuesj-1198	52	9	attribute	attribute	NOUN
cuesj-1198	52	10	parameters	parameter	NOUN
cuesj-1198	52	11	,	,	PUNCT
cuesj-1198	52	12	utilizing	utilize	VERB
cuesj-1198	52	13	a	a	DET
cuesj-1198	52	14	distance	distance	NOUN
cuesj-1198	52	15	function	function	NOUN
cuesj-1198	52	16	between	between	ADP
cuesj-1198	52	17	categories	category	NOUN
cuesj-1198	52	18	to	to	PART
cuesj-1198	52	19	perform	perform	VERB
cuesj-1198	52	20	segmentation	segmentation	NOUN
cuesj-1198	52	21	through	through	ADP
cuesj-1198	52	22	a	a	DET
cuesj-1198	52	23	small	small	ADJ
cuesj-1198	52	24	neighborhood	neighborhood	NOUN
cuesj-1198	52	25	clustering	cluster	VERB
cuesj-1198	52	26	algorithm.[15	algorithm.[15	PROPN
cuesj-1198	52	27	]	]	PUNCT
cuesj-1198	52	28	key	key	ADJ
cuesj-1198	52	29	aspects	aspect	NOUN
cuesj-1198	52	30	of	of	ADP
cuesj-1198	52	31	the	the	DET
cuesj-1198	52	32	algorithm	algorithm	NOUN
cuesj-1198	52	33	include	include	VERB
cuesj-1198	52	34	the	the	DET
cuesj-1198	52	35	selection	selection	NOUN
cuesj-1198	52	36	of	of	ADP
cuesj-1198	52	37	optimal	optimal	ADJ
cuesj-1198	52	38	segmentation	segmentation	NOUN
cuesj-1198	52	39	points	point	NOUN
cuesj-1198	52	40	and	and	CCONJ
cuesj-1198	52	41	sampling	sample	VERB
cuesj-1198	52	42	rate	rate	NOUN
cuesj-1198	52	43	.	.	PUNCT
cuesj-1198	53	1	the	the	DET
cuesj-1198	53	2	paper	paper	NOUN
cuesj-1198	53	3	outlines	outline	VERB
cuesj-1198	53	4	a	a	DET
cuesj-1198	53	5	process	process	NOUN
cuesj-1198	53	6	for	for	ADP
cuesj-1198	53	7	calculating	calculate	VERB
cuesj-1198	53	8	the	the	DET
cuesj-1198	53	9	optimal	optimal	ADJ
cuesj-1198	53	10	sampling	sampling	NOUN
cuesj-1198	53	11	rate	rate	NOUN
cuesj-1198	53	12	and	and	CCONJ
cuesj-1198	53	13	proposes	propose	VERB
cuesj-1198	53	14	a	a	DET
cuesj-1198	53	15	search	search	NOUN
cuesj-1198	53	16	method	method	NOUN
cuesj-1198	53	17	to	to	PART
cuesj-1198	53	18	determine	determine	VERB
cuesj-1198	53	19	it	it	PRON
cuesj-1198	53	20	.	.	PUNCT
cuesj-1198	54	1	in	in	ADP
cuesj-1198	54	2	addition	addition	NOUN
cuesj-1198	54	3	,	,	PUNCT
cuesj-1198	54	4	a	a	DET
cuesj-1198	54	5	validity	validity	NOUN
cuesj-1198	54	6	judgment	judgment	NOUN
cuesj-1198	54	7	function	function	NOUN
cuesj-1198	54	8	for	for	ADP
cuesj-1198	54	9	segmentation	segmentation	NOUN
cuesj-1198	54	10	is	be	AUX
cuesj-1198	54	11	introduced	introduce	VERB
cuesj-1198	54	12	.	.	PUNCT
cuesj-1198	55	1	the	the	DET
cuesj-1198	55	2	optimized	optimize	VERB
cuesj-1198	55	3	small	small	ADJ
cuesj-1198	55	4	neighborhood	neighborhood	NOUN
cuesj-1198	55	5	clustering	clustering	NOUN
cuesj-1198	55	6	(	(	PUNCT
cuesj-1198	55	7	osnc	osnc	ADJ
cuesj-1198	55	8	)	)	PUNCT
cuesj-1198	55	9	algorithm	algorithm	NOUN
cuesj-1198	55	10	is	be	AUX
cuesj-1198	55	11	then	then	ADV
cuesj-1198	55	12	applied	apply	VERB
cuesj-1198	55	13	to	to	ADP
cuesj-1198	55	14	continuous	continuous	ADJ
cuesj-1198	55	15	image	image	NOUN
cuesj-1198	55	16	target	target	NOUN
cuesj-1198	55	17	segmentation	segmentation	NOUN
cuesj-1198	55	18	experiments	experiment	NOUN
cuesj-1198	55	19	using	use	VERB
cuesj-1198	55	20	fast	fast	ADJ
cuesj-1198	55	21	frozen	frozen	ADJ
cuesj-1198	55	22	dumpling	dumpling	NOUN
cuesj-1198	55	23	images	image	NOUN
cuesj-1198	55	24	as	as	ADP
cuesj-1198	55	25	samples	sample	NOUN
cuesj-1198	55	26	.	.	PUNCT
cuesj-1198	56	1	assaad	assaad	NOUN
cuesj-1198	56	2	and	and	CCONJ
cuesj-1198	56	3	shakah	shakah	PROPN
cuesj-1198	56	4	:	:	PUNCT
cuesj-1198	56	5	optimizing	optimize	VERB
cuesj-1198	56	6	health	health	NOUN
cuesj-1198	56	7	pattern	pattern	NOUN
cuesj-1198	56	8	recognition	recognition	NOUN
cuesj-1198	56	9	pso	pso	NOUN
cuesj-1198	56	10	approach	approach	NOUN
cuesj-1198	56	11	78	78	NUM
cuesj-1198	56	12	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	56	13	cuesj	cuesj	NOUN
cuesj-1198	56	14	2024	2024	NUM
cuesj-1198	56	15	,	,	PUNCT
cuesj-1198	56	16	8	8	NUM
cuesj-1198	56	17	(	(	PUNCT
cuesj-1198	56	18	2	2	NUM
cuesj-1198	56	19	):	):	PUNCT
cuesj-1198	56	20	76	76	NUM
cuesj-1198	56	21	-	-	SYM
cuesj-1198	56	22	83	83	NUM
cuesj-1198	56	23	the	the	DET
cuesj-1198	56	24	experimental	experimental	ADJ
cuesj-1198	56	25	results	result	NOUN
cuesj-1198	56	26	showcase	showcase	VERB
cuesj-1198	56	27	the	the	DET
cuesj-1198	56	28	osnc	osnc	PROPN
cuesj-1198	56	29	algorithm	algorithm	PROPN
cuesj-1198	56	30	’s	’s	PART
cuesj-1198	56	31	high	high	ADJ
cuesj-1198	56	32	accuracy	accuracy	NOUN
cuesj-1198	56	33	in	in	ADP
cuesj-1198	56	34	defect	defect	NOUN
cuesj-1198	56	35	detection	detection	NOUN
cuesj-1198	56	36	,	,	PUNCT
cuesj-1198	56	37	achieving	achieve	VERB
cuesj-1198	56	38	a	a	DET
cuesj-1198	56	39	rate	rate	NOUN
cuesj-1198	56	40	of	of	ADP
cuesj-1198	56	41	95.9	95.9	NUM
cuesj-1198	56	42	%	%	NOUN
cuesj-1198	56	43	.	.	PUNCT
cuesj-1198	57	1	comparative	comparative	ADJ
cuesj-1198	57	2	analysis	analysis	NOUN
cuesj-1198	57	3	with	with	ADP
cuesj-1198	57	4	existing	exist	VERB
cuesj-1198	57	5	segmentation	segmentation	NOUN
cuesj-1198	57	6	algorithms	algorithms	NOUN
cuesj-1198	57	7	highlights	highlight	VERB
cuesj-1198	57	8	the	the	DET
cuesj-1198	57	9	osnc	osnc	PROPN
cuesj-1198	57	10	algorithm	algorithm	PROPN
cuesj-1198	57	11	’s	’s	PART
cuesj-1198	57	12	robustness	robustness	NOUN
cuesj-1198	57	13	against	against	ADP
cuesj-1198	57	14	interference	interference	NOUN
cuesj-1198	57	15	,	,	PUNCT
cuesj-1198	57	16	faster	fast	ADJ
cuesj-1198	57	17	segmentation	segmentation	NOUN
cuesj-1198	57	18	speed	speed	NOUN
cuesj-1198	57	19	,	,	PUNCT
cuesj-1198	57	20	and	and	CCONJ
cuesj-1198	57	21	efficient	efficient	ADJ
cuesj-1198	57	22	preservation	preservation	NOUN
cuesj-1198	57	23	of	of	ADP
cuesj-1198	57	24	key	key	ADJ
cuesj-1198	57	25	information	information	NOUN
cuesj-1198	57	26	.	.	PUNCT
cuesj-1198	58	1	this	this	DET
cuesj-1198	58	2	algorithm	algorithm	NOUN
cuesj-1198	58	3	effectively	effectively	ADV
cuesj-1198	58	4	addresses	address	VERB
cuesj-1198	58	5	limitations	limitation	NOUN
cuesj-1198	58	6	observed	observe	VERB
cuesj-1198	58	7	in	in	ADP
cuesj-1198	58	8	other	other	ADJ
cuesj-1198	58	9	segmentation	segmentation	NOUN
cuesj-1198	58	10	methods	method	NOUN
cuesj-1198	58	11	,	,	PUNCT
cuesj-1198	58	12	making	make	VERB
cuesj-1198	58	13	it	it	PRON
cuesj-1198	58	14	a	a	DET
cuesj-1198	58	15	promising	promising	ADJ
cuesj-1198	58	16	solution	solution	NOUN
cuesj-1198	58	17	for	for	ADP
cuesj-1198	58	18	improving	improve	VERB
cuesj-1198	58	19	the	the	DET
cuesj-1198	58	20	quality	quality	NOUN
cuesj-1198	58	21	detection	detection	NOUN
cuesj-1198	58	22	process	process	NOUN
cuesj-1198	58	23	in	in	ADP
cuesj-1198	58	24	stuffed	stuff	VERB
cuesj-1198	58	25	food	food	NOUN
cuesj-1198	58	26	production	production	NOUN
cuesj-1198	58	27	.	.	PUNCT
cuesj-1198	59	1	methodology	methodology	NOUN
cuesj-1198	59	2	this	this	DET
cuesj-1198	59	3	paper	paper	NOUN
cuesj-1198	59	4	employs	employ	VERB
cuesj-1198	59	5	a	a	DET
cuesj-1198	59	6	comprehensive	comprehensive	ADJ
cuesj-1198	59	7	methodology	methodology	NOUN
cuesj-1198	59	8	that	that	PRON
cuesj-1198	59	9	integrates	integrate	NOUN
cuesj-1198	59	10	fcm	fcm	AUX
cuesj-1198	59	11	clustering	clustering	NOUN
cuesj-1198	59	12	and	and	CCONJ
cuesj-1198	59	13	pso	pso	NOUN
cuesj-1198	59	14	to	to	PART
cuesj-1198	59	15	enhance	enhance	VERB
cuesj-1198	59	16	health	health	NOUN
cuesj-1198	59	17	pattern	pattern	NOUN
cuesj-1198	59	18	recognition	recognition	NOUN
cuesj-1198	59	19	through	through	ADP
cuesj-1198	59	20	the	the	DET
cuesj-1198	59	21	optimization	optimization	NOUN
cuesj-1198	59	22	of	of	ADP
cuesj-1198	59	23	an	an	DET
cuesj-1198	59	24	ann	ann	PROPN
cuesj-1198	59	25	.	.	PUNCT
cuesj-1198	60	1	the	the	DET
cuesj-1198	60	2	sequential	sequential	ADJ
cuesj-1198	60	3	application	application	NOUN
cuesj-1198	60	4	of	of	ADP
cuesj-1198	60	5	these	these	DET
cuesj-1198	60	6	techniques	technique	NOUN
cuesj-1198	60	7	is	be	AUX
cuesj-1198	60	8	designed	design	VERB
cuesj-1198	60	9	to	to	PART
cuesj-1198	60	10	discern	discern	VERB
cuesj-1198	60	11	distinctive	distinctive	ADJ
cuesj-1198	60	12	health	health	NOUN
cuesj-1198	60	13	clusters	cluster	NOUN
cuesj-1198	60	14	and	and	CCONJ
cuesj-1198	60	15	subsequently	subsequently	ADV
cuesj-1198	60	16	refine	refine	VERB
cuesj-1198	60	17	the	the	DET
cuesj-1198	60	18	ann	ann	PROPN
cuesj-1198	60	19	’s	’s	PART
cuesj-1198	60	20	hyperparameters	hyperparameter	NOUN
cuesj-1198	60	21	for	for	ADP
cuesj-1198	60	22	improved	improved	ADJ
cuesj-1198	60	23	performance	performance	NOUN
cuesj-1198	60	24	.	.	PUNCT
cuesj-1198	61	1	dataset	dataset	NOUN
cuesj-1198	61	2	and	and	CCONJ
cuesj-1198	61	3	feature	feature	NOUN
cuesj-1198	61	4	selection	selection	NOUN
cuesj-1198	61	5	the	the	DET
cuesj-1198	61	6	foundation	foundation	NOUN
cuesj-1198	61	7	of	of	ADP
cuesj-1198	61	8	our	our	PRON
cuesj-1198	61	9	methodology	methodology	NOUN
cuesj-1198	61	10	lies	lie	VERB
cuesj-1198	61	11	in	in	ADP
cuesj-1198	61	12	the	the	DET
cuesj-1198	61	13	careful	careful	ADJ
cuesj-1198	61	14	selection	selection	NOUN
cuesj-1198	61	15	of	of	ADP
cuesj-1198	61	16	features	feature	NOUN
cuesj-1198	61	17	that	that	PRON
cuesj-1198	61	18	encapsulate	encapsulate	VERB
cuesj-1198	61	19	essential	essential	ADJ
cuesj-1198	61	20	dimensions	dimension	NOUN
cuesj-1198	61	21	of	of	ADP
cuesj-1198	61	22	health	health	NOUN
cuesj-1198	61	23	profiles	profile	NOUN
cuesj-1198	61	24	.	.	PUNCT
cuesj-1198	62	1	the	the	DET
cuesj-1198	62	2	dataset	dataset	NOUN
cuesj-1198	62	3	encompasses	encompass	VERB
cuesj-1198	62	4	a	a	DET
cuesj-1198	62	5	diverse	diverse	ADJ
cuesj-1198	62	6	array	array	NOUN
cuesj-1198	62	7	of	of	ADP
cuesj-1198	62	8	features	feature	NOUN
cuesj-1198	62	9	such	such	ADJ
cuesj-1198	62	10	as	as	ADP
cuesj-1198	62	11	“	"	PUNCT
cuesj-1198	62	12	smoker	smoker	ADJ
cuesj-1198	62	13	,	,	PUNCT
cuesj-1198	62	14	”	"	PUNCT
cuesj-1198	62	15	“	"	PUNCT
cuesj-1198	62	16	bmi	bmi	NOUN
cuesj-1198	62	17	,	,	PUNCT
cuesj-1198	62	18	”	"	PUNCT
cuesj-1198	62	19	and	and	CCONJ
cuesj-1198	62	20	“	"	PUNCT
cuesj-1198	62	21	genhlth	genhlth	NOUN
cuesj-1198	62	22	,	,	PUNCT
cuesj-1198	62	23	”	"	PUNCT
cuesj-1198	62	24	providing	provide	VERB
cuesj-1198	62	25	a	a	DET
cuesj-1198	62	26	multifaceted	multifaceted	ADJ
cuesj-1198	62	27	representation	representation	NOUN
cuesj-1198	62	28	of	of	ADP
cuesj-1198	62	29	individuals	individual	NOUN
cuesj-1198	62	30	’	’	PART
cuesj-1198	62	31	health	health	NOUN
cuesj-1198	62	32	characteristics	characteristic	NOUN
cuesj-1198	62	33	.	.	PUNCT
cuesj-1198	63	1	fcm	fcm	AUX
cuesj-1198	63	2	clustering	cluster	VERB
cuesj-1198	63	3	fcm	fcm	X
cuesj-1198	63	4	clustering	clustering	NOUN
cuesj-1198	63	5	is	be	AUX
cuesj-1198	63	6	employed	employ	VERB
cuesj-1198	63	7	to	to	PART
cuesj-1198	63	8	categorize	categorize	VERB
cuesj-1198	63	9	individuals	individual	NOUN
cuesj-1198	63	10	into	into	ADP
cuesj-1198	63	11	distinct	distinct	ADJ
cuesj-1198	63	12	health	health	NOUN
cuesj-1198	63	13	clusters	cluster	NOUN
cuesj-1198	63	14	based	base	VERB
cuesj-1198	63	15	on	on	ADP
cuesj-1198	63	16	the	the	DET
cuesj-1198	63	17	chosen	choose	VERB
cuesj-1198	63	18	features	feature	NOUN
cuesj-1198	63	19	.	.	PUNCT
cuesj-1198	64	1	fcm	fcm	VERB
cuesj-1198	64	2	excels	excel	NOUN
cuesj-1198	64	3	in	in	ADP
cuesj-1198	64	4	handling	handle	VERB
cuesj-1198	64	5	data	datum	NOUN
cuesj-1198	64	6	with	with	ADP
cuesj-1198	64	7	inherent	inherent	ADJ
cuesj-1198	64	8	fuzziness	fuzziness	NOUN
cuesj-1198	64	9	and	and	CCONJ
cuesj-1198	64	10	overlaps	overlap	NOUN
cuesj-1198	64	11	,	,	PUNCT
cuesj-1198	64	12	offering	offer	VERB
cuesj-1198	64	13	a	a	DET
cuesj-1198	64	14	more	more	ADV
cuesj-1198	64	15	realistic	realistic	ADJ
cuesj-1198	64	16	representation	representation	NOUN
cuesj-1198	64	17	of	of	ADP
cuesj-1198	64	18	the	the	DET
cuesj-1198	64	19	complex	complex	ADJ
cuesj-1198	64	20	interplay	interplay	NOUN
cuesj-1198	64	21	between	between	ADP
cuesj-1198	64	22	health	health	NOUN
cuesj-1198	64	23	-	-	PUNCT
cuesj-1198	64	24	related	relate	VERB
cuesj-1198	64	25	attributes	attribute	NOUN
cuesj-1198	64	26	.	.	PUNCT
cuesj-1198	65	1	the	the	DET
cuesj-1198	65	2	iterative	iterative	NOUN
cuesj-1198	65	3	optimization	optimization	NOUN
cuesj-1198	65	4	process	process	NOUN
cuesj-1198	65	5	of	of	ADP
cuesj-1198	65	6	fcm	fcm	PROPN
cuesj-1198	65	7	converges	converge	NOUN
cuesj-1198	65	8	to	to	PART
cuesj-1198	65	9	reveal	reveal	VERB
cuesj-1198	65	10	clusters	cluster	NOUN
cuesj-1198	65	11	that	that	PRON
cuesj-1198	65	12	capture	capture	VERB
cuesj-1198	65	13	shared	share	VERB
cuesj-1198	65	14	characteristics	characteristic	NOUN
cuesj-1198	65	15	within	within	ADP
cuesj-1198	65	16	the	the	DET
cuesj-1198	65	17	dataset	dataset	NOUN
cuesj-1198	65	18	,	,	PUNCT
cuesj-1198	65	19	and	and	CCONJ
cuesj-1198	65	20	figure	figure	VERB
cuesj-1198	65	21	1	1	NUM
cuesj-1198	65	22	shows	show	VERB
cuesj-1198	65	23	the	the	DET
cuesj-1198	65	24	difference	difference	NOUN
cuesj-1198	65	25	between	between	ADP
cuesj-1198	65	26	fcm	fcm	PROPN
cuesj-1198	65	27	(	(	PUNCT
cuesj-1198	65	28	soft	soft	ADJ
cuesj-1198	65	29	clustering	clustering	NOUN
cuesj-1198	65	30	)	)	PUNCT
cuesj-1198	65	31	and	and	CCONJ
cuesj-1198	65	32	hard	hard	ADJ
cuesj-1198	65	33	clustering.[3	clustering.[3	NOUN
cuesj-1198	65	34	-	-	SYM
cuesj-1198	65	35	6	6	NUM
cuesj-1198	65	36	]	]	PUNCT
cuesj-1198	65	37	pso	pso	NOUN
cuesj-1198	65	38	following	follow	VERB
cuesj-1198	65	39	the	the	DET
cuesj-1198	65	40	identification	identification	NOUN
cuesj-1198	65	41	of	of	ADP
cuesj-1198	65	42	health	health	NOUN
cuesj-1198	65	43	clusters	cluster	NOUN
cuesj-1198	65	44	,	,	PUNCT
cuesj-1198	65	45	the	the	DET
cuesj-1198	65	46	study	study	NOUN
cuesj-1198	65	47	introduces	introduce	VERB
cuesj-1198	65	48	the	the	DET
cuesj-1198	65	49	pso	pso	NOUN
cuesj-1198	65	50	algorithm	algorithm	NOUN
cuesj-1198	65	51	to	to	PART
cuesj-1198	65	52	optimize	optimize	VERB
cuesj-1198	65	53	the	the	DET
cuesj-1198	65	54	hyperparameters	hyperparameter	NOUN
cuesj-1198	65	55	of	of	ADP
cuesj-1198	65	56	an	an	DET
cuesj-1198	65	57	ann	ann	PROPN
cuesj-1198	65	58	.	.	PUNCT
cuesj-1198	66	1	the	the	DET
cuesj-1198	66	2	hyperparameters	hyperparameter	NOUN
cuesj-1198	66	3	targeted	target	VERB
cuesj-1198	66	4	for	for	ADP
cuesj-1198	66	5	optimization	optimization	NOUN
cuesj-1198	66	6	include	include	VERB
cuesj-1198	66	7	the	the	DET
cuesj-1198	66	8	number	number	NOUN
cuesj-1198	66	9	of	of	ADP
cuesj-1198	66	10	neurons	neuron	NOUN
cuesj-1198	66	11	in	in	ADP
cuesj-1198	66	12	the	the	DET
cuesj-1198	66	13	first	first	ADJ
cuesj-1198	66	14	hidden	hide	VERB
cuesj-1198	66	15	layer	layer	NOUN
cuesj-1198	66	16	(	(	PUNCT
cuesj-1198	66	17	hidden_layer1	hidden_layer1	NUM
cuesj-1198	66	18	)	)	PUNCT
cuesj-1198	66	19	,	,	PUNCT
cuesj-1198	66	20	the	the	DET
cuesj-1198	66	21	number	number	NOUN
cuesj-1198	66	22	of	of	ADP
cuesj-1198	66	23	neurons	neuron	NOUN
cuesj-1198	66	24	in	in	ADP
cuesj-1198	66	25	the	the	DET
cuesj-1198	66	26	second	second	ADJ
cuesj-1198	66	27	hidden	hide	VERB
cuesj-1198	66	28	layer	layer	NOUN
cuesj-1198	66	29	(	(	PUNCT
cuesj-1198	66	30	hidden_layer2	hidden_layer2	NOUN
cuesj-1198	66	31	)	)	PUNCT
cuesj-1198	66	32	,	,	PUNCT
cuesj-1198	66	33	and	and	CCONJ
cuesj-1198	66	34	the	the	DET
cuesj-1198	66	35	activation	activation	NOUN
cuesj-1198	66	36	function	function	NOUN
cuesj-1198	66	37	in	in	ADP
cuesj-1198	66	38	the	the	DET
cuesj-1198	66	39	output	output	NOUN
cuesj-1198	66	40	layer	layer	NOUN
cuesj-1198	66	41	(	(	PUNCT
cuesj-1198	66	42	activation_functions	activation_function	NOUN
cuesj-1198	66	43	)	)	PUNCT
cuesj-1198	66	44	.	.	PUNCT
cuesj-1198	67	1	pso	pso	NOUN
cuesj-1198	67	2	,	,	PUNCT
cuesj-1198	67	3	inspired	inspire	VERB
cuesj-1198	67	4	by	by	ADP
cuesj-1198	67	5	social	social	ADJ
cuesj-1198	67	6	behavior	behavior	NOUN
cuesj-1198	67	7	and	and	CCONJ
cuesj-1198	67	8	collaboration	collaboration	NOUN
cuesj-1198	67	9	,	,	PUNCT
cuesj-1198	67	10	utilizes	utilize	VERB
cuesj-1198	67	11	a	a	DET
cuesj-1198	67	12	swarm	swarm	NOUN
cuesj-1198	67	13	of	of	ADP
cuesj-1198	67	14	particles	particle	NOUN
cuesj-1198	67	15	to	to	PART
cuesj-1198	67	16	systematically	systematically	ADV
cuesj-1198	67	17	explore	explore	VERB
cuesj-1198	67	18	the	the	DET
cuesj-1198	67	19	hyperparameter	hyperparameter	NOUN
cuesj-1198	67	20	space	space	NOUN
cuesj-1198	67	21	and	and	CCONJ
cuesj-1198	67	22	discover	discover	VERB
cuesj-1198	67	23	configurations	configuration	NOUN
cuesj-1198	67	24	that	that	PRON
cuesj-1198	67	25	minimize	minimize	VERB
cuesj-1198	67	26	the	the	DET
cuesj-1198	67	27	ann	ann	PROPN
cuesj-1198	67	28	’s	’s	PART
cuesj-1198	67	29	training	training	NOUN
cuesj-1198	67	30	loss	loss	NOUN
cuesj-1198	67	31	.	.	PUNCT
cuesj-1198	68	1	figure	figure	NOUN
cuesj-1198	68	2	2	2	NUM
cuesj-1198	68	3	shows	show	VERB
cuesj-1198	68	4	pso	pso	NOUN
cuesj-1198	68	5	convergence	convergence	NOUN
cuesj-1198	68	6	mechanism.[12	mechanism.[12	PROPN
cuesj-1198	68	7	-	-	PUNCT
cuesj-1198	68	8	14	14	NUM
cuesj-1198	68	9	]	]	PUNCT
cuesj-1198	68	10	ann	ann	NOUN
cuesj-1198	68	11	architecture	architecture	NOUN
cuesj-1198	68	12	and	and	CCONJ
cuesj-1198	68	13	training	train	VERB
cuesj-1198	68	14	the	the	DET
cuesj-1198	68	15	ann	ann	PROPN
cuesj-1198	68	16	architecture	architecture	NOUN
cuesj-1198	68	17	is	be	AUX
cuesj-1198	68	18	defined	define	VERB
cuesj-1198	68	19	based	base	VERB
cuesj-1198	68	20	on	on	ADP
cuesj-1198	68	21	the	the	DET
cuesj-1198	68	22	optimized	optimize	VERB
cuesj-1198	68	23	hyperparameters	hyperparameter	NOUN
cuesj-1198	68	24	obtained	obtain	VERB
cuesj-1198	68	25	through	through	ADP
cuesj-1198	68	26	the	the	DET
cuesj-1198	68	27	pso	pso	NOUN
cuesj-1198	68	28	algorithm	algorithm	NOUN
cuesj-1198	68	29	.	.	PUNCT
cuesj-1198	69	1	a	a	DET
cuesj-1198	69	2	sequential	sequential	ADJ
cuesj-1198	69	3	model	model	NOUN
cuesj-1198	69	4	is	be	AUX
cuesj-1198	69	5	created	create	VERB
cuesj-1198	69	6	using	use	VERB
cuesj-1198	69	7	the	the	DET
cuesj-1198	69	8	keras	keras	PROPN
cuesj-1198	69	9	framework	framework	NOUN
cuesj-1198	69	10	,	,	PUNCT
cuesj-1198	69	11	with	with	ADP
cuesj-1198	69	12	input	input	NOUN
cuesj-1198	69	13	dimensions	dimension	NOUN
cuesj-1198	69	14	matching	match	VERB
cuesj-1198	69	15	the	the	DET
cuesj-1198	69	16	selected	select	VERB
cuesj-1198	69	17	features	feature	NOUN
cuesj-1198	69	18	.	.	PUNCT
cuesj-1198	70	1	the	the	DET
cuesj-1198	70	2	model	model	NOUN
cuesj-1198	70	3	comprises	comprise	VERB
cuesj-1198	70	4	multiple	multiple	ADJ
cuesj-1198	70	5	layers	layer	NOUN
cuesj-1198	70	6	,	,	PUNCT
cuesj-1198	70	7	including	include	VERB
cuesj-1198	70	8	the	the	DET
cuesj-1198	70	9	input	input	NOUN
cuesj-1198	70	10	layer	layer	NOUN
cuesj-1198	70	11	,	,	PUNCT
cuesj-1198	70	12	hidden	hide	VERB
cuesj-1198	70	13	layers	layer	NOUN
cuesj-1198	70	14	with	with	ADP
cuesj-1198	70	15	the	the	DET
cuesj-1198	70	16	specified	specified	ADJ
cuesj-1198	70	17	number	number	NOUN
cuesj-1198	70	18	of	of	ADP
cuesj-1198	70	19	neurons	neuron	NOUN
cuesj-1198	70	20	,	,	PUNCT
cuesj-1198	70	21	and	and	CCONJ
cuesj-1198	70	22	an	an	DET
cuesj-1198	70	23	output	output	NOUN
cuesj-1198	70	24	layer	layer	NOUN
cuesj-1198	70	25	with	with	ADP
cuesj-1198	70	26	the	the	DET
cuesj-1198	70	27	chosen	choose	VERB
cuesj-1198	70	28	activation	activation	NOUN
cuesj-1198	70	29	function	function	NOUN
cuesj-1198	70	30	.	.	PUNCT
cuesj-1198	71	1	the	the	DET
cuesj-1198	71	2	model	model	NOUN
cuesj-1198	71	3	is	be	AUX
cuesj-1198	71	4	trained	train	VERB
cuesj-1198	71	5	figure	figure	NOUN
cuesj-1198	71	6	2	2	NUM
cuesj-1198	71	7	:	:	PUNCT
cuesj-1198	71	8	pso	pso	NOUN
cuesj-1198	71	9	convergence	convergence	NOUN
cuesj-1198	71	10	mechanism	mechanism	NOUN
cuesj-1198	71	11	figure	figure	NOUN
cuesj-1198	71	12	1	1	NUM
cuesj-1198	71	13	:	:	PUNCT
cuesj-1198	71	14	hard	hard	ADJ
cuesj-1198	71	15	clustering	clustering	NOUN
cuesj-1198	71	16	versus	versus	ADP
cuesj-1198	71	17	soft	soft	ADJ
cuesj-1198	71	18	clustering	clustering	NOUN
cuesj-1198	71	19	using	use	VERB
cuesj-1198	71	20	the	the	DET
cuesj-1198	71	21	mean	mean	ADJ
cuesj-1198	71	22	squared	square	VERB
cuesj-1198	71	23	error	error	NOUN
cuesj-1198	71	24	loss	loss	NOUN
cuesj-1198	71	25	function	function	NOUN
cuesj-1198	71	26	and	and	CCONJ
cuesj-1198	71	27	the	the	DET
cuesj-1198	71	28	adam	adam	PROPN
cuesj-1198	71	29	optimizer	optimizer	NOUN
cuesj-1198	71	30	.	.	PUNCT
cuesj-1198	72	1	figure	figure	NOUN
cuesj-1198	72	2	3	3	NUM
cuesj-1198	72	3	shows	show	VERB
cuesj-1198	72	4	the	the	DET
cuesj-1198	72	5	basic	basic	ADJ
cuesj-1198	72	6	architecture	architecture	NOUN
cuesj-1198	72	7	of	of	ADP
cuesj-1198	72	8	ann.[11,13	ann.[11,13	NOUN
cuesj-1198	72	9	]	]	PUNCT
cuesj-1198	72	10	evaluation	evaluation	NOUN
cuesj-1198	72	11	and	and	CCONJ
cuesj-1198	72	12	validation	validation	NOUN
cuesj-1198	72	13	to	to	PART
cuesj-1198	72	14	assess	assess	VERB
cuesj-1198	72	15	the	the	DET
cuesj-1198	72	16	effectiveness	effectiveness	NOUN
cuesj-1198	72	17	of	of	ADP
cuesj-1198	72	18	the	the	DET
cuesj-1198	72	19	optimized	optimize	VERB
cuesj-1198	72	20	ann	ann	PROPN
cuesj-1198	72	21	,	,	PUNCT
cuesj-1198	72	22	the	the	DET
cuesj-1198	72	23	dataset	dataset	NOUN
cuesj-1198	72	24	is	be	AUX
cuesj-1198	72	25	split	split	VERB
cuesj-1198	72	26	into	into	ADP
cuesj-1198	72	27	training	training	NOUN
cuesj-1198	72	28	and	and	CCONJ
cuesj-1198	72	29	testing	testing	NOUN
cuesj-1198	72	30	sets	set	NOUN
cuesj-1198	72	31	.	.	PUNCT
cuesj-1198	73	1	the	the	DET
cuesj-1198	73	2	model	model	NOUN
cuesj-1198	73	3	’s	’s	PART
cuesj-1198	73	4	performance	performance	NOUN
cuesj-1198	73	5	is	be	AUX
cuesj-1198	73	6	evaluated	evaluate	VERB
cuesj-1198	73	7	using	use	VERB
cuesj-1198	73	8	metrics	metric	NOUN
cuesj-1198	73	9	such	such	ADJ
cuesj-1198	73	10	as	as	ADP
cuesj-1198	73	11	mean	mean	NOUN
cuesj-1198	73	12	squared	square	VERB
cuesj-1198	73	13	error	error	NOUN
cuesj-1198	73	14	on	on	ADP
cuesj-1198	73	15	the	the	DET
cuesj-1198	73	16	testing	testing	NOUN
cuesj-1198	73	17	set	set	NOUN
cuesj-1198	73	18	.	.	PUNCT
cuesj-1198	74	1	in	in	ADP
cuesj-1198	74	2	addition	addition	NOUN
cuesj-1198	74	3	,	,	PUNCT
cuesj-1198	74	4	internal	internal	ADJ
cuesj-1198	74	5	validation	validation	NOUN
cuesj-1198	74	6	metrics	metric	NOUN
cuesj-1198	74	7	such	such	ADJ
cuesj-1198	74	8	as	as	ADP
cuesj-1198	74	9	silhouette	silhouette	NOUN
cuesj-1198	74	10	score	score	NOUN
cuesj-1198	74	11	,	,	PUNCT
cuesj-1198	74	12	davies	davy	NOUN
cuesj-1198	74	13	–	–	PUNCT
cuesj-1198	74	14	bouldin	bouldin	NOUN
cuesj-1198	74	15	index	index	NOUN
cuesj-1198	74	16	,	,	PUNCT
cuesj-1198	74	17	or	or	CCONJ
cuesj-1198	74	18	fowlkes	fowlke	NOUN
cuesj-1198	74	19	–	–	PUNCT
cuesj-1198	74	20	mallows	mallow	NOUN
cuesj-1198	74	21	index	index	NOUN
cuesj-1198	74	22	may	may	AUX
cuesj-1198	74	23	be	be	AUX
cuesj-1198	74	24	employed	employ	VERB
cuesj-1198	74	25	to	to	PART
cuesj-1198	74	26	quantitatively	quantitatively	ADV
cuesj-1198	74	27	assess	assess	VERB
cuesj-1198	74	28	the	the	DET
cuesj-1198	74	29	quality	quality	NOUN
cuesj-1198	74	30	of	of	ADP
cuesj-1198	74	31	the	the	DET
cuesj-1198	74	32	identified	identify	VERB
cuesj-1198	74	33	health	health	NOUN
cuesj-1198	74	34	clusters	cluster	NOUN
cuesj-1198	74	35	.	.	PUNCT
cuesj-1198	75	1	visualization	visualization	NOUN
cuesj-1198	75	2	visual	visual	ADJ
cuesj-1198	75	3	representations	representation	NOUN
cuesj-1198	75	4	are	be	AUX
cuesj-1198	75	5	generated	generate	VERB
cuesj-1198	75	6	to	to	PART
cuesj-1198	75	7	aid	aid	VERB
cuesj-1198	75	8	in	in	ADP
cuesj-1198	75	9	the	the	DET
cuesj-1198	75	10	interpretation	interpretation	NOUN
cuesj-1198	75	11	of	of	ADP
cuesj-1198	75	12	results	result	NOUN
cuesj-1198	75	13	.	.	PUNCT
cuesj-1198	76	1	these	these	PRON
cuesj-1198	76	2	include	include	VERB
cuesj-1198	76	3	plots	plot	NOUN
cuesj-1198	76	4	illustrating	illustrate	VERB
cuesj-1198	76	5	the	the	DET
cuesj-1198	76	6	training	training	NOUN
cuesj-1198	76	7	loss	loss	NOUN
cuesj-1198	76	8	over	over	ADP
cuesj-1198	76	9	epochs	epoch	NOUN
cuesj-1198	76	10	for	for	ADP
cuesj-1198	76	11	both	both	CCONJ
cuesj-1198	76	12	the	the	DET
cuesj-1198	76	13	initial	initial	ADJ
cuesj-1198	76	14	and	and	CCONJ
cuesj-1198	76	15	optimized	optimize	VERB
cuesj-1198	76	16	ann	ann	PROPN
cuesj-1198	76	17	,	,	PUNCT
cuesj-1198	76	18	scatter	scatter	NOUN
cuesj-1198	76	19	plots	plot	NOUN
cuesj-1198	76	20	showcasing	showcase	VERB
cuesj-1198	76	21	the	the	DET
cuesj-1198	76	22	distribution	distribution	NOUN
cuesj-1198	76	23	of	of	ADP
cuesj-1198	76	24	data	datum	NOUN
cuesj-1198	76	25	points	point	NOUN
cuesj-1198	76	26	within	within	ADP
cuesj-1198	76	27	identified	identify	VERB
cuesj-1198	76	28	health	health	NOUN
cuesj-1198	76	29	clusters	cluster	NOUN
cuesj-1198	76	30	and	and	CCONJ
cuesj-1198	76	31	3d	3d	NUM
cuesj-1198	76	32	visualizations	visualization	NOUN
cuesj-1198	76	33	of	of	ADP
cuesj-1198	76	34	cluster	cluster	NOUN
cuesj-1198	76	35	centers	center	NOUN
cuesj-1198	76	36	and	and	CCONJ
cuesj-1198	76	37	data	datum	NOUN
cuesj-1198	76	38	points	point	NOUN
cuesj-1198	76	39	for	for	ADP
cuesj-1198	76	40	enhanced	enhanced	ADJ
cuesj-1198	76	41	interpretability	interpretability	NOUN
cuesj-1198	76	42	.	.	PUNCT
cuesj-1198	77	1	interpretation	interpretation	NOUN
cuesj-1198	77	2	and	and	CCONJ
cuesj-1198	77	3	implications	implication	NOUN
cuesj-1198	77	4	the	the	DET
cuesj-1198	77	5	final	final	ADJ
cuesj-1198	77	6	step	step	NOUN
cuesj-1198	77	7	involves	involve	VERB
cuesj-1198	77	8	interpreting	interpret	VERB
cuesj-1198	77	9	the	the	DET
cuesj-1198	77	10	results	result	NOUN
cuesj-1198	77	11	and	and	CCONJ
cuesj-1198	77	12	discussing	discuss	VERB
cuesj-1198	77	13	the	the	DET
cuesj-1198	77	14	implications	implication	NOUN
cuesj-1198	77	15	of	of	ADP
cuesj-1198	77	16	the	the	DET
cuesj-1198	77	17	identified	identify	VERB
cuesj-1198	77	18	health	health	NOUN
cuesj-1198	77	19	clusters	cluster	NOUN
cuesj-1198	77	20	and	and	CCONJ
cuesj-1198	77	21	the	the	DET
cuesj-1198	77	22	optimized	optimize	VERB
cuesj-1198	77	23	ann	ann	PROPN
cuesj-1198	77	24	.	.	PUNCT
cuesj-1198	78	1	insights	insight	NOUN
cuesj-1198	78	2	into	into	ADP
cuesj-1198	78	3	distinct	distinct	ADJ
cuesj-1198	78	4	health	health	NOUN
cuesj-1198	78	5	profiles	profile	NOUN
cuesj-1198	78	6	,	,	PUNCT
cuesj-1198	78	7	potential	potential	ADJ
cuesj-1198	78	8	risk	risk	NOUN
cuesj-1198	78	9	factors	factor	NOUN
cuesj-1198	78	10	,	,	PUNCT
cuesj-1198	78	11	and	and	CCONJ
cuesj-1198	78	12	the	the	DET
cuesj-1198	78	13	model	model	NOUN
cuesj-1198	78	14	’s	’s	PART
cuesj-1198	78	15	generalization	generalization	NOUN
cuesj-1198	78	16	capacity	capacity	NOUN
cuesj-1198	78	17	are	be	AUX
cuesj-1198	78	18	thoroughly	thoroughly	ADV
cuesj-1198	78	19	examined	examine	VERB
cuesj-1198	78	20	.	.	PUNCT
cuesj-1198	79	1	the	the	DET
cuesj-1198	79	2	findings	finding	NOUN
cuesj-1198	79	3	are	be	AUX
cuesj-1198	79	4	contextualized	contextualize	VERB
cuesj-1198	79	5	within	within	ADP
cuesj-1198	79	6	the	the	DET
cuesj-1198	79	7	broader	broad	ADJ
cuesj-1198	79	8	domain	domain	NOUN
cuesj-1198	79	9	of	of	ADP
cuesj-1198	79	10	health	health	NOUN
cuesj-1198	79	11	-	-	PUNCT
cuesj-1198	79	12	care	care	NOUN
cuesj-1198	79	13	analytics	analytic	NOUN
cuesj-1198	79	14	,	,	PUNCT
cuesj-1198	79	15	emphasizing	emphasize	VERB
cuesj-1198	79	16	the	the	DET
cuesj-1198	79	17	potential	potential	NOUN
cuesj-1198	79	18	for	for	ADP
cuesj-1198	79	19	personalized	personalize	VERB
cuesj-1198	79	20	intervention	intervention	NOUN
cuesj-1198	79	21	strategies	strategy	NOUN
cuesj-1198	79	22	.	.	PUNCT
cuesj-1198	80	1	results	result	NOUN
cuesj-1198	80	2	and	and	CCONJ
cuesj-1198	80	3	discussions	discussion	NOUN
cuesj-1198	80	4	the	the	DET
cuesj-1198	80	5	determination	determination	NOUN
cuesj-1198	80	6	of	of	ADP
cuesj-1198	80	7	an	an	DET
cuesj-1198	80	8	optimal	optimal	ADJ
cuesj-1198	80	9	number	number	NOUN
cuesj-1198	80	10	of	of	ADP
cuesj-1198	80	11	clusters	cluster	NOUN
cuesj-1198	80	12	is	be	AUX
cuesj-1198	80	13	pivotal	pivotal	ADJ
cuesj-1198	80	14	in	in	ADP
cuesj-1198	80	15	ensuring	ensure	VERB
cuesj-1198	80	16	meaningful	meaningful	ADJ
cuesj-1198	80	17	partitioning	partitioning	NOUN
cuesj-1198	80	18	of	of	ADP
cuesj-1198	80	19	the	the	DET
cuesj-1198	80	20	dataset	dataset	NOUN
cuesj-1198	80	21	.	.	PUNCT
cuesj-1198	81	1	employing	employ	VERB
cuesj-1198	81	2	assaad	assaad	NOUN
cuesj-1198	81	3	and	and	CCONJ
cuesj-1198	81	4	shakah	shakah	PROPN
cuesj-1198	81	5	:	:	PUNCT
cuesj-1198	81	6	optimizing	optimize	VERB
cuesj-1198	81	7	health	health	NOUN
cuesj-1198	81	8	pattern	pattern	NOUN
cuesj-1198	81	9	recognition	recognition	NOUN
cuesj-1198	81	10	pso	pso	NOUN
cuesj-1198	81	11	approach	approach	NOUN
cuesj-1198	81	12	79	79	NUM
cuesj-1198	81	13	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	81	14	cuesj	cuesj	ADJ
cuesj-1198	81	15	2024	2024	NUM
cuesj-1198	81	16	,	,	PUNCT
cuesj-1198	81	17	8	8	NUM
cuesj-1198	81	18	(	(	PUNCT
cuesj-1198	81	19	2	2	NUM
cuesj-1198	81	20	):	):	PUNCT
cuesj-1198	81	21	76	76	NUM
cuesj-1198	81	22	-	-	SYM
cuesj-1198	81	23	83	83	NUM
cuesj-1198	81	24	internal	internal	ADJ
cuesj-1198	81	25	validation	validation	NOUN
cuesj-1198	81	26	metrics	metric	NOUN
cuesj-1198	81	27	and	and	CCONJ
cuesj-1198	81	28	thoughtful	thoughtful	ADJ
cuesj-1198	81	29	consideration	consideration	NOUN
cuesj-1198	81	30	,	,	PUNCT
cuesj-1198	81	31	the	the	DET
cuesj-1198	81	32	analysis	analysis	NOUN
cuesj-1198	81	33	points	point	VERB
cuesj-1198	81	34	toward	toward	ADP
cuesj-1198	81	35	an	an	DET
cuesj-1198	81	36	optimal	optimal	ADJ
cuesj-1198	81	37	number	number	NOUN
cuesj-1198	81	38	of	of	ADP
cuesj-1198	81	39	clusters	cluster	NOUN
cuesj-1198	81	40	.	.	PUNCT
cuesj-1198	82	1	following	follow	VERB
cuesj-1198	82	2	a	a	DET
cuesj-1198	82	3	meticulous	meticulous	ADJ
cuesj-1198	82	4	evaluation	evaluation	NOUN
cuesj-1198	82	5	,	,	PUNCT
cuesj-1198	82	6	our	our	PRON
cuesj-1198	82	7	research	research	NOUN
cuesj-1198	82	8	(	(	PUNCT
cuesj-1198	82	9	3	3	X
cuesj-1198	82	10	)	)	PUNCT
cuesj-1198	82	11	clusters	cluster	NOUN
cuesj-1198	82	12	as	as	ADP
cuesj-1198	82	13	the	the	DET
cuesj-1198	82	14	most	most	ADV
cuesj-1198	82	15	fitting	fitting	ADJ
cuesj-1198	82	16	configuration	configuration	NOUN
cuesj-1198	82	17	for	for	ADP
cuesj-1198	82	18	encapsulating	encapsulate	VERB
cuesj-1198	82	19	the	the	DET
cuesj-1198	82	20	inherent	inherent	ADJ
cuesj-1198	82	21	structures	structure	NOUN
cuesj-1198	82	22	within	within	ADP
cuesj-1198	82	23	the	the	DET
cuesj-1198	82	24	data	data	NOUN
cuesj-1198	82	25	.	.	PUNCT
cuesj-1198	83	1	fcm	fcm	AUX
cuesj-1198	83	2	clustering	cluster	VERB
cuesj-1198	83	3	,	,	PUNCT
cuesj-1198	83	4	utilizing	utilize	VERB
cuesj-1198	83	5	the	the	DET
cuesj-1198	83	6	features	feature	NOUN
cuesj-1198	83	7	“	"	PUNCT
cuesj-1198	83	8	smoker	smoker	ADV
cuesj-1198	83	9	,	,	PUNCT
cuesj-1198	83	10	”	"	PUNCT
cuesj-1198	83	11	“	"	PUNCT
cuesj-1198	83	12	bmi	bmi	NOUN
cuesj-1198	83	13	,	,	PUNCT
cuesj-1198	83	14	”	"	PUNCT
cuesj-1198	83	15	and	and	CCONJ
cuesj-1198	83	16	“	"	PUNCT
cuesj-1198	83	17	genhlth	genhlth	NOUN
cuesj-1198	83	18	,	,	PUNCT
cuesj-1198	83	19	”	"	PUNCT
cuesj-1198	83	20	has	have	AUX
cuesj-1198	83	21	unveiled	unveil	VERB
cuesj-1198	83	22	distinctive	distinctive	ADJ
cuesj-1198	83	23	health	health	NOUN
cuesj-1198	83	24	patterns	pattern	NOUN
cuesj-1198	83	25	within	within	ADP
cuesj-1198	83	26	the	the	DET
cuesj-1198	83	27	dataset	dataset	NOUN
cuesj-1198	83	28	.	.	PUNCT
cuesj-1198	84	1	the	the	DET
cuesj-1198	84	2	analysis	analysis	NOUN
cuesj-1198	84	3	determined	determine	VERB
cuesj-1198	84	4	an	an	DET
cuesj-1198	84	5	optimal	optimal	ADJ
cuesj-1198	84	6	number	number	NOUN
cuesj-1198	84	7	of	of	ADP
cuesj-1198	84	8	clusters	cluster	NOUN
cuesj-1198	84	9	,	,	PUNCT
cuesj-1198	84	10	revealing	reveal	VERB
cuesj-1198	84	11	three	three	NUM
cuesj-1198	84	12	distinct	distinct	ADJ
cuesj-1198	84	13	groups	group	NOUN
cuesj-1198	84	14	:	:	PUNCT
cuesj-1198	84	15	•	•	NUM
cuesj-1198	84	16	cluster	cluster	NOUN
cuesj-1198	84	17	1	1	NUM
cuesj-1198	84	18	denoted	denote	VERB
cuesj-1198	84	19	as	as	ADP
cuesj-1198	84	20	“	"	PUNCT
cuesj-1198	84	21	health	health	NOUN
cuesj-1198	84	22	-	-	PUNCT
cuesj-1198	84	23	conscious	conscious	ADJ
cuesj-1198	84	24	individuals	individual	NOUN
cuesj-1198	84	25	,	,	PUNCT
cuesj-1198	84	26	”	"	PUNCT
cuesj-1198	84	27	individuals	individual	NOUN
cuesj-1198	84	28	exhibit	exhibit	VERB
cuesj-1198	84	29	lower	low	ADJ
cuesj-1198	84	30	bmi	bmi	NOUN
cuesj-1198	84	31	values	value	NOUN
cuesj-1198	84	32	,	,	PUNCT
cuesj-1198	84	33	tend	tend	VERB
cuesj-1198	84	34	to	to	PART
cuesj-1198	84	35	be	be	AUX
cuesj-1198	84	36	nonsmokers	nonsmoker	NOUN
cuesj-1198	84	37	,	,	PUNCT
cuesj-1198	84	38	and	and	CCONJ
cuesj-1198	84	39	generally	generally	ADV
cuesj-1198	84	40	report	report	VERB
cuesj-1198	84	41	good	good	ADJ
cuesj-1198	84	42	health	health	NOUN
cuesj-1198	84	43	perceptions	perception	NOUN
cuesj-1198	84	44	.	.	PUNCT
cuesj-1198	85	1	•	•	NUM
cuesj-1198	85	2	cluster	cluster	NOUN
cuesj-1198	85	3	2	2	NUM
cuesj-1198	85	4	,	,	PUNCT
cuesj-1198	85	5	characterized	characterize	VERB
cuesj-1198	85	6	as	as	ADP
cuesj-1198	85	7	having	have	VERB
cuesj-1198	85	8	a	a	DET
cuesj-1198	85	9	“	"	PUNCT
cuesj-1198	85	10	moderate	moderate	ADJ
cuesj-1198	85	11	health	health	NOUN
cuesj-1198	85	12	profile	profile	NOUN
cuesj-1198	85	13	,	,	PUNCT
cuesj-1198	85	14	”	"	PUNCT
cuesj-1198	85	15	consists	consist	VERB
cuesj-1198	85	16	of	of	ADP
cuesj-1198	85	17	individuals	individual	NOUN
cuesj-1198	85	18	with	with	ADP
cuesj-1198	85	19	moderate	moderate	ADJ
cuesj-1198	85	20	health	health	NOUN
cuesj-1198	85	21	indicators	indicator	NOUN
cuesj-1198	85	22	,	,	PUNCT
cuesj-1198	85	23	including	include	VERB
cuesj-1198	85	24	bmi	bmi	NOUN
cuesj-1198	85	25	,	,	PUNCT
cuesj-1198	85	26	smoking	smoking	NOUN
cuesj-1198	85	27	habits	habit	NOUN
cuesj-1198	85	28	,	,	PUNCT
cuesj-1198	85	29	and	and	CCONJ
cuesj-1198	85	30	general	general	ADJ
cuesj-1198	85	31	health	health	NOUN
cuesj-1198	85	32	perceptions	perception	NOUN
cuesj-1198	85	33	.	.	PUNCT
cuesj-1198	86	1	•	•	NUM
cuesj-1198	86	2	cluster	cluster	NOUN
cuesj-1198	86	3	3	3	NUM
cuesj-1198	86	4	,	,	PUNCT
cuesj-1198	86	5	labeled	label	VERB
cuesj-1198	86	6	as	as	ADP
cuesj-1198	86	7	“	"	PUNCT
cuesj-1198	86	8	health	health	NOUN
cuesj-1198	86	9	risk	risk	NOUN
cuesj-1198	86	10	factors	factor	NOUN
cuesj-1198	86	11	,	,	PUNCT
cuesj-1198	86	12	”	"	PUNCT
cuesj-1198	86	13	comprises	comprise	VERB
cuesj-1198	86	14	individuals	individual	NOUN
cuesj-1198	86	15	with	with	ADP
cuesj-1198	86	16	higher	high	ADJ
cuesj-1198	86	17	bmi	bmi	NOUN
cuesj-1198	86	18	values	value	NOUN
cuesj-1198	86	19	,	,	PUNCT
cuesj-1198	86	20	a	a	DET
cuesj-1198	86	21	higher	high	ADJ
cuesj-1198	86	22	prevalence	prevalence	NOUN
cuesj-1198	86	23	of	of	ADP
cuesj-1198	86	24	smoking	smoking	NOUN
cuesj-1198	86	25	,	,	PUNCT
cuesj-1198	86	26	and	and	CCONJ
cuesj-1198	86	27	self	self	NOUN
cuesj-1198	86	28	-	-	PUNCT
cuesj-1198	86	29	reported	report	VERB
cuesj-1198	86	30	lower	low	ADJ
cuesj-1198	86	31	general	general	ADJ
cuesj-1198	86	32	health	health	NOUN
cuesj-1198	86	33	perceptions	perception	NOUN
cuesj-1198	86	34	.	.	PUNCT
cuesj-1198	87	1	these	these	DET
cuesj-1198	87	2	identified	identify	VERB
cuesj-1198	87	3	cluster	cluster	NOUN
cuesj-1198	87	4	characteristics	characteristic	NOUN
cuesj-1198	87	5	offer	offer	VERB
cuesj-1198	87	6	a	a	DET
cuesj-1198	87	7	nuanced	nuanced	ADJ
cuesj-1198	87	8	understanding	understanding	NOUN
cuesj-1198	87	9	of	of	ADP
cuesj-1198	87	10	the	the	DET
cuesj-1198	87	11	diverse	diverse	ADJ
cuesj-1198	87	12	health	health	NOUN
cuesj-1198	87	13	profiles	profile	NOUN
cuesj-1198	87	14	present	present	ADJ
cuesj-1198	87	15	in	in	ADP
cuesj-1198	87	16	the	the	DET
cuesj-1198	87	17	dataset	dataset	NOUN
cuesj-1198	87	18	,	,	PUNCT
cuesj-1198	87	19	particularly	particularly	ADV
cuesj-1198	87	20	emphasizing	emphasize	VERB
cuesj-1198	87	21	smoking	smoking	NOUN
cuesj-1198	87	22	habits	habit	NOUN
cuesj-1198	87	23	,	,	PUNCT
cuesj-1198	87	24	bmi	bmi	NOUN
cuesj-1198	87	25	,	,	PUNCT
cuesj-1198	87	26	and	and	CCONJ
cuesj-1198	87	27	general	general	ADJ
cuesj-1198	87	28	health	health	NOUN
cuesj-1198	87	29	perceptions	perception	NOUN
cuesj-1198	87	30	.	.	PUNCT
cuesj-1198	88	1	the	the	DET
cuesj-1198	88	2	subsequent	subsequent	ADJ
cuesj-1198	88	3	sections	section	NOUN
cuesj-1198	88	4	will	will	AUX
cuesj-1198	88	5	delve	delve	VERB
cuesj-1198	88	6	deeper	deep	ADJ
cuesj-1198	88	7	,	,	PUNCT
cuesj-1198	88	8	presenting	present	VERB
cuesj-1198	88	9	internal	internal	ADJ
cuesj-1198	88	10	validation	validation	NOUN
cuesj-1198	88	11	metrics	metric	NOUN
cuesj-1198	88	12	and	and	CCONJ
cuesj-1198	88	13	visual	visual	ADJ
cuesj-1198	88	14	representations	representation	NOUN
cuesj-1198	88	15	of	of	ADP
cuesj-1198	88	16	these	these	DET
cuesj-1198	88	17	clusters	cluster	NOUN
cuesj-1198	88	18	to	to	PART
cuesj-1198	88	19	enhance	enhance	VERB
cuesj-1198	88	20	our	our	PRON
cuesj-1198	88	21	comprehension	comprehension	NOUN
cuesj-1198	88	22	of	of	ADP
cuesj-1198	88	23	their	their	PRON
cuesj-1198	88	24	reliability	reliability	NOUN
cuesj-1198	88	25	and	and	CCONJ
cuesj-1198	88	26	interpretability	interpretability	NOUN
cuesj-1198	88	27	.	.	PUNCT
cuesj-1198	89	1	figure	figure	NOUN
cuesj-1198	89	2	4	4	NUM
cuesj-1198	89	3	shows	show	NOUN
cuesj-1198	89	4	fcm	fcm	AUX
cuesj-1198	89	5	clustering	cluster	VERB
cuesj-1198	89	6	.	.	PUNCT
cuesj-1198	90	1	the	the	DET
cuesj-1198	90	2	results	result	NOUN
cuesj-1198	90	3	obtained	obtain	VERB
cuesj-1198	90	4	from	from	ADP
cuesj-1198	90	5	the	the	DET
cuesj-1198	90	6	fcm	fcm	PROPN
cuesj-1198	90	7	clustering	clustering	ADJ
cuesj-1198	90	8	analysis	analysis	NOUN
cuesj-1198	90	9	,	,	PUNCT
cuesj-1198	90	10	focusing	focus	VERB
cuesj-1198	90	11	on	on	ADP
cuesj-1198	90	12	the	the	DET
cuesj-1198	90	13	features	feature	NOUN
cuesj-1198	90	14	“	"	PUNCT
cuesj-1198	90	15	smoker	smoker	ADV
cuesj-1198	90	16	,	,	PUNCT
cuesj-1198	90	17	”	"	PUNCT
cuesj-1198	90	18	“	"	PUNCT
cuesj-1198	90	19	bmi	bmi	NOUN
cuesj-1198	90	20	,	,	PUNCT
cuesj-1198	90	21	”	"	PUNCT
cuesj-1198	90	22	and	and	CCONJ
cuesj-1198	90	23	“	"	PUNCT
cuesj-1198	90	24	genhlth	genhlth	NOUN
cuesj-1198	90	25	,	,	PUNCT
cuesj-1198	90	26	”	"	PUNCT
cuesj-1198	90	27	offer	offer	VERB
cuesj-1198	90	28	valuable	valuable	ADJ
cuesj-1198	90	29	insights	insight	NOUN
cuesj-1198	90	30	into	into	ADP
cuesj-1198	90	31	the	the	DET
cuesj-1198	90	32	diverse	diverse	ADJ
cuesj-1198	90	33	health	health	NOUN
cuesj-1198	90	34	profiles	profile	NOUN
cuesj-1198	90	35	within	within	ADP
cuesj-1198	90	36	the	the	DET
cuesj-1198	90	37	dataset	dataset	NOUN
cuesj-1198	90	38	.	.	PUNCT
cuesj-1198	91	1	the	the	DET
cuesj-1198	91	2	identification	identification	NOUN
cuesj-1198	91	3	of	of	ADP
cuesj-1198	91	4	three	three	NUM
cuesj-1198	91	5	distinct	distinct	ADJ
cuesj-1198	91	6	clusters	cluster	NOUN
cuesj-1198	91	7	provides	provide	VERB
cuesj-1198	91	8	a	a	DET
cuesj-1198	91	9	meaningful	meaningful	ADJ
cuesj-1198	91	10	partitioning	partitioning	NOUN
cuesj-1198	91	11	that	that	PRON
cuesj-1198	91	12	reflects	reflect	VERB
cuesj-1198	91	13	different	different	ADJ
cuesj-1198	91	14	health	health	NOUN
cuesj-1198	91	15	patterns	pattern	NOUN
cuesj-1198	91	16	.	.	PUNCT
cuesj-1198	92	1	the	the	DET
cuesj-1198	92	2	main	main	ADJ
cuesj-1198	92	3	objective	objective	NOUN
cuesj-1198	92	4	of	of	ADP
cuesj-1198	92	5	ann	ann	PROPN
cuesj-1198	92	6	is	be	AUX
cuesj-1198	92	7	to	to	PART
cuesj-1198	92	8	enhance	enhance	VERB
cuesj-1198	92	9	the	the	DET
cuesj-1198	92	10	precision	precision	NOUN
cuesj-1198	92	11	of	of	ADP
cuesj-1198	92	12	cluster	cluster	NOUN
cuesj-1198	92	13	assignments	assignment	NOUN
cuesj-1198	92	14	obtained	obtain	VERB
cuesj-1198	92	15	from	from	ADP
cuesj-1198	92	16	fcm	fcm	PROPN
cuesj-1198	92	17	.	.	PUNCT
cuesj-1198	93	1	while	while	SCONJ
cuesj-1198	93	2	fcm	fcm	PROPN
cuesj-1198	93	3	provides	provide	VERB
cuesj-1198	93	4	soft	soft	ADJ
cuesj-1198	93	5	membership	membership	NOUN
cuesj-1198	93	6	values	value	NOUN
cuesj-1198	93	7	indicating	indicate	VERB
cuesj-1198	93	8	the	the	DET
cuesj-1198	93	9	likelihood	likelihood	NOUN
cuesj-1198	93	10	of	of	ADP
cuesj-1198	93	11	a	a	DET
cuesj-1198	93	12	data	data	NOUN
cuesj-1198	93	13	point	point	NOUN
cuesj-1198	93	14	belonging	belong	VERB
cuesj-1198	93	15	to	to	ADP
cuesj-1198	93	16	each	each	DET
cuesj-1198	93	17	cluster	cluster	NOUN
cuesj-1198	93	18	,	,	PUNCT
cuesj-1198	93	19	an	an	DET
cuesj-1198	93	20	ann	ann	PROPN
cuesj-1198	93	21	can	can	AUX
cuesj-1198	93	22	be	be	AUX
cuesj-1198	93	23	employed	employ	VERB
cuesj-1198	93	24	to	to	PART
cuesj-1198	93	25	refine	refine	VERB
cuesj-1198	93	26	these	these	DET
cuesj-1198	93	27	assignments	assignment	NOUN
cuesj-1198	93	28	,	,	PUNCT
cuesj-1198	93	29	potentially	potentially	ADV
cuesj-1198	93	30	leading	lead	VERB
cuesj-1198	93	31	to	to	ADP
cuesj-1198	93	32	more	more	ADV
cuesj-1198	93	33	accurate	accurate	ADJ
cuesj-1198	93	34	and	and	CCONJ
cuesj-1198	93	35	distinct	distinct	ADJ
cuesj-1198	93	36	cluster	cluster	NOUN
cuesj-1198	93	37	boundaries	boundary	NOUN
cuesj-1198	93	38	.	.	PUNCT
cuesj-1198	94	1	ann	ann	PROPN
cuesj-1198	94	2	training	training	NOUN
cuesj-1198	94	3	loss	loss	NOUN
cuesj-1198	94	4	the	the	DET
cuesj-1198	94	5	training	training	NOUN
cuesj-1198	94	6	loss	loss	NOUN
cuesj-1198	94	7	in	in	ADP
cuesj-1198	94	8	a	a	DET
cuesj-1198	94	9	neural	neural	ADJ
cuesj-1198	94	10	network	network	NOUN
cuesj-1198	94	11	is	be	AUX
cuesj-1198	94	12	a	a	DET
cuesj-1198	94	13	measure	measure	NOUN
cuesj-1198	94	14	of	of	ADP
cuesj-1198	94	15	how	how	SCONJ
cuesj-1198	94	16	well	well	ADV
cuesj-1198	94	17	the	the	DET
cuesj-1198	94	18	model	model	NOUN
cuesj-1198	94	19	is	be	AUX
cuesj-1198	94	20	learning	learn	VERB
cuesj-1198	94	21	from	from	ADP
cuesj-1198	94	22	the	the	DET
cuesj-1198	94	23	training	training	NOUN
cuesj-1198	94	24	data	datum	NOUN
cuesj-1198	94	25	.	.	PUNCT
cuesj-1198	95	1	it	it	PRON
cuesj-1198	95	2	represents	represent	VERB
cuesj-1198	95	3	the	the	DET
cuesj-1198	95	4	error	error	NOUN
cuesj-1198	95	5	between	between	ADP
cuesj-1198	95	6	the	the	DET
cuesj-1198	95	7	predicted	predict	VERB
cuesj-1198	95	8	outputs	output	NOUN
cuesj-1198	95	9	and	and	CCONJ
cuesj-1198	95	10	the	the	DET
cuesj-1198	95	11	actual	actual	ADJ
cuesj-1198	95	12	targets	target	NOUN
cuesj-1198	95	13	during	during	ADP
cuesj-1198	95	14	training	training	NOUN
cuesj-1198	95	15	.	.	PUNCT
cuesj-1198	96	1	in	in	ADP
cuesj-1198	96	2	general	general	ADJ
cuesj-1198	96	3	,	,	PUNCT
cuesj-1198	96	4	a	a	DET
cuesj-1198	96	5	decreasing	decrease	VERB
cuesj-1198	96	6	training	training	NOUN
cuesj-1198	96	7	loss	loss	NOUN
cuesj-1198	96	8	is	be	AUX
cuesj-1198	96	9	a	a	DET
cuesj-1198	96	10	positive	positive	ADJ
cuesj-1198	96	11	sign	sign	NOUN
cuesj-1198	96	12	,	,	PUNCT
cuesj-1198	96	13	indicating	indicate	VERB
cuesj-1198	96	14	that	that	SCONJ
cuesj-1198	96	15	the	the	DET
cuesj-1198	96	16	model	model	NOUN
cuesj-1198	96	17	is	be	AUX
cuesj-1198	96	18	improving	improve	VERB
cuesj-1198	96	19	its	its	PRON
cuesj-1198	96	20	ability	ability	NOUN
cuesj-1198	96	21	to	to	PART
cuesj-1198	96	22	make	make	VERB
cuesj-1198	96	23	predictions	prediction	NOUN
cuesj-1198	96	24	on	on	ADP
cuesj-1198	96	25	the	the	DET
cuesj-1198	96	26	training	training	NOUN
cuesj-1198	96	27	data	datum	NOUN
cuesj-1198	96	28	.	.	PUNCT
cuesj-1198	97	1	figure	figure	NOUN
cuesj-1198	97	2	4	4	NUM
cuesj-1198	97	3	shows	show	VERB
cuesj-1198	97	4	ann	ann	PROPN
cuesj-1198	97	5	training	training	NOUN
cuesj-1198	97	6	loss	loss	NOUN
cuesj-1198	97	7	over	over	ADP
cuesj-1198	97	8	epochs	epoch	NOUN
cuesj-1198	97	9	.	.	PUNCT
cuesj-1198	98	1	we	we	PRON
cuesj-1198	98	2	could	could	AUX
cuesj-1198	98	3	break	break	VERB
cuesj-1198	98	4	down	down	ADP
cuesj-1198	98	5	the	the	DET
cuesj-1198	98	6	scenario	scenario	NOUN
cuesj-1198	98	7	as	as	ADP
cuesj-1198	98	8	:	:	PUNCT
cuesj-1198	98	9	initial	initial	ADJ
cuesj-1198	98	10	loss	loss	NOUN
cuesj-1198	98	11	(	(	PUNCT
cuesj-1198	98	12	epoch	epoch	NOUN
cuesj-1198	98	13	1	1	NUM
cuesj-1198	98	14	):	):	PUNCT
cuesj-1198	98	15	1.1010	1.1010	NUM
cuesj-1198	98	16	•	•	NOUN
cuesj-1198	98	17	at	at	ADP
cuesj-1198	98	18	the	the	DET
cuesj-1198	98	19	start	start	NOUN
cuesj-1198	98	20	of	of	ADP
cuesj-1198	98	21	training	training	NOUN
cuesj-1198	98	22	,	,	PUNCT
cuesj-1198	98	23	the	the	DET
cuesj-1198	98	24	model	model	NOUN
cuesj-1198	98	25	’s	’s	PART
cuesj-1198	98	26	weights	weight	NOUN
cuesj-1198	98	27	are	be	AUX
cuesj-1198	98	28	initialized	initialize	VERB
cuesj-1198	98	29	randomly	randomly	ADV
cuesj-1198	98	30	.	.	PUNCT
cuesj-1198	99	1	the	the	DET
cuesj-1198	99	2	initial	initial	ADJ
cuesj-1198	99	3	loss	loss	NOUN
cuesj-1198	99	4	reflects	reflect	VERB
cuesj-1198	99	5	how	how	SCONJ
cuesj-1198	99	6	well	well	ADV
cuesj-1198	99	7	the	the	DET
cuesj-1198	99	8	model	model	NOUN
cuesj-1198	99	9	performs	perform	VERB
cuesj-1198	99	10	with	with	ADP
cuesj-1198	99	11	these	these	DET
cuesj-1198	99	12	random	random	ADJ
cuesj-1198	99	13	weights	weight	NOUN
cuesj-1198	99	14	.	.	PUNCT
cuesj-1198	100	1	figure	figure	NOUN
cuesj-1198	100	2	4	4	NUM
cuesj-1198	100	3	:	:	PUNCT
cuesj-1198	100	4	fuzzy	fuzzy	ADJ
cuesj-1198	100	5	c	c	NOUN
cuesj-1198	100	6	-	-	PUNCT
cuesj-1198	100	7	means	mean	VERB
cuesj-1198	100	8	clustering	clustering	ADJ
cuesj-1198	100	9	figure	figure	NOUN
cuesj-1198	100	10	3	3	NUM
cuesj-1198	100	11	:	:	PUNCT
cuesj-1198	100	12	ann	ann	PROPN
cuesj-1198	100	13	basic	basic	ADJ
cuesj-1198	100	14	architecture	architecture	NOUN
cuesj-1198	100	15	assaad	assaad	NOUN
cuesj-1198	100	16	and	and	CCONJ
cuesj-1198	100	17	shakah	shakah	PROPN
cuesj-1198	100	18	:	:	PUNCT
cuesj-1198	100	19	optimizing	optimize	VERB
cuesj-1198	100	20	health	health	NOUN
cuesj-1198	100	21	pattern	pattern	NOUN
cuesj-1198	100	22	recognition	recognition	NOUN
cuesj-1198	100	23	pso	pso	NOUN
cuesj-1198	100	24	approach	approach	NOUN
cuesj-1198	100	25	80	80	NUM
cuesj-1198	100	26	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	100	27	cuesj	cuesj	ADJ
cuesj-1198	100	28	2024	2024	NUM
cuesj-1198	100	29	,	,	PUNCT
cuesj-1198	100	30	8	8	NUM
cuesj-1198	100	31	(	(	PUNCT
cuesj-1198	100	32	2	2	NUM
cuesj-1198	100	33	):	):	PUNCT
cuesj-1198	100	34	76	76	NUM
cuesj-1198	100	35	-	-	SYM
cuesj-1198	100	36	83	83	NUM
cuesj-1198	100	37	loss	loss	NOUN
cuesj-1198	100	38	after	after	ADP
cuesj-1198	100	39	5	5	NUM
cuesj-1198	100	40	epochs	epoch	NOUN
cuesj-1198	100	41	:	:	PUNCT
cuesj-1198	100	42	~1.0990	~1.0990	PUNCT
cuesj-1198	100	43	•	•	NOUN
cuesj-1198	100	44	the	the	DET
cuesj-1198	100	45	loss	loss	NOUN
cuesj-1198	100	46	has	have	AUX
cuesj-1198	100	47	decreased	decrease	VERB
cuesj-1198	100	48	slightly	slightly	ADV
cuesj-1198	100	49	after	after	ADP
cuesj-1198	100	50	the	the	DET
cuesj-1198	100	51	first	first	ADJ
cuesj-1198	100	52	5	5	NUM
cuesj-1198	100	53	epochs	epoch	NOUN
cuesj-1198	100	54	.	.	PUNCT
cuesj-1198	101	1	this	this	PRON
cuesj-1198	101	2	suggests	suggest	VERB
cuesj-1198	101	3	that	that	SCONJ
cuesj-1198	101	4	the	the	DET
cuesj-1198	101	5	model	model	NOUN
cuesj-1198	101	6	is	be	AUX
cuesj-1198	101	7	adjusting	adjust	VERB
cuesj-1198	101	8	its	its	PRON
cuesj-1198	101	9	weights	weight	NOUN
cuesj-1198	101	10	based	base	VERB
cuesj-1198	101	11	on	on	ADP
cuesj-1198	101	12	the	the	DET
cuesj-1198	101	13	training	training	NOUN
cuesj-1198	101	14	data	datum	NOUN
cuesj-1198	101	15	,	,	PUNCT
cuesj-1198	101	16	and	and	CCONJ
cuesj-1198	101	17	it	it	PRON
cuesj-1198	101	18	’s	’s	AUX
cuesj-1198	101	19	starting	start	VERB
cuesj-1198	101	20	to	to	PART
cuesj-1198	101	21	make	make	VERB
cuesj-1198	101	22	better	well	ADJ
cuesj-1198	101	23	predictions	prediction	NOUN
cuesj-1198	101	24	.	.	PUNCT
cuesj-1198	102	1	loss	loss	NOUN
cuesj-1198	102	2	after	after	ADP
cuesj-1198	102	3	50	50	NUM
cuesj-1198	102	4	epochs	epoch	NOUN
cuesj-1198	102	5	:	:	PUNCT
cuesj-1198	102	6	~1.0985	~1.0985	NOUN
cuesj-1198	102	7	•	•	NOUN
cuesj-1198	102	8	the	the	DET
cuesj-1198	102	9	loss	loss	NOUN
cuesj-1198	102	10	has	have	AUX
cuesj-1198	102	11	continued	continue	VERB
cuesj-1198	102	12	to	to	PART
cuesj-1198	102	13	decrease	decrease	VERB
cuesj-1198	102	14	after	after	ADP
cuesj-1198	102	15	50	50	NUM
cuesj-1198	102	16	epochs	epoch	NOUN
cuesj-1198	102	17	.	.	PUNCT
cuesj-1198	103	1	this	this	PRON
cuesj-1198	103	2	is	be	AUX
cuesj-1198	103	3	a	a	DET
cuesj-1198	103	4	positive	positive	ADJ
cuesj-1198	103	5	indication	indication	NOUN
cuesj-1198	103	6	,	,	PUNCT
cuesj-1198	103	7	as	as	SCONJ
cuesj-1198	103	8	it	it	PRON
cuesj-1198	103	9	suggests	suggest	VERB
cuesj-1198	103	10	that	that	SCONJ
cuesj-1198	103	11	the	the	DET
cuesj-1198	103	12	model	model	NOUN
cuesj-1198	103	13	is	be	AUX
cuesj-1198	103	14	learning	learn	VERB
cuesj-1198	103	15	more	more	ADJ
cuesj-1198	103	16	complex	complex	ADJ
cuesj-1198	103	17	patterns	pattern	NOUN
cuesj-1198	103	18	in	in	ADP
cuesj-1198	103	19	the	the	DET
cuesj-1198	103	20	data	datum	NOUN
cuesj-1198	103	21	and	and	CCONJ
cuesj-1198	103	22	is	be	AUX
cuesj-1198	103	23	likely	likely	ADJ
cuesj-1198	103	24	to	to	PART
cuesj-1198	103	25	generalize	generalize	VERB
cuesj-1198	103	26	well	well	ADV
cuesj-1198	103	27	.	.	PUNCT
cuesj-1198	104	1	here	here	ADV
cuesj-1198	104	2	are	be	AUX
cuesj-1198	104	3	a	a	DET
cuesj-1198	104	4	few	few	ADJ
cuesj-1198	104	5	considerations	consideration	NOUN
cuesj-1198	104	6	:	:	PUNCT
cuesj-1198	104	7	•	•	NUM
cuesj-1198	104	8	learning	learn	VERB
cuesj-1198	104	9	rate	rate	NOUN
cuesj-1198	104	10	:	:	PUNCT
cuesj-1198	104	11	the	the	DET
cuesj-1198	104	12	learning	learning	NOUN
cuesj-1198	104	13	rate	rate	NOUN
cuesj-1198	104	14	is	be	AUX
cuesj-1198	104	15	a	a	DET
cuesj-1198	104	16	hyperparameter	hyperparameter	NOUN
cuesj-1198	104	17	that	that	PRON
cuesj-1198	104	18	determines	determine	VERB
cuesj-1198	104	19	the	the	DET
cuesj-1198	104	20	step	step	NOUN
cuesj-1198	104	21	size	size	NOUN
cuesj-1198	104	22	at	at	ADP
cuesj-1198	104	23	each	each	DET
cuesj-1198	104	24	iteration	iteration	NOUN
cuesj-1198	104	25	while	while	SCONJ
cuesj-1198	104	26	moving	move	VERB
cuesj-1198	104	27	toward	toward	ADP
cuesj-1198	104	28	a	a	DET
cuesj-1198	104	29	minimum	minimum	NOUN
cuesj-1198	104	30	of	of	ADP
cuesj-1198	104	31	the	the	DET
cuesj-1198	104	32	loss	loss	NOUN
cuesj-1198	104	33	function	function	NOUN
cuesj-1198	104	34	.	.	PUNCT
cuesj-1198	105	1	if	if	SCONJ
cuesj-1198	105	2	the	the	DET
cuesj-1198	105	3	learning	learning	NOUN
cuesj-1198	105	4	rate	rate	NOUN
cuesj-1198	105	5	is	be	AUX
cuesj-1198	105	6	too	too	ADV
cuesj-1198	105	7	high	high	ADJ
cuesj-1198	105	8	,	,	PUNCT
cuesj-1198	105	9	the	the	DET
cuesj-1198	105	10	model	model	NOUN
cuesj-1198	105	11	might	might	AUX
cuesj-1198	105	12	overshoot	overshoot	VERB
cuesj-1198	105	13	the	the	DET
cuesj-1198	105	14	minimum	minimum	NOUN
cuesj-1198	105	15	,	,	PUNCT
cuesj-1198	105	16	and	and	CCONJ
cuesj-1198	105	17	if	if	SCONJ
cuesj-1198	105	18	it	it	PRON
cuesj-1198	105	19	is	be	AUX
cuesj-1198	105	20	too	too	ADV
cuesj-1198	105	21	low	low	ADJ
cuesj-1198	105	22	,	,	PUNCT
cuesj-1198	105	23	the	the	DET
cuesj-1198	105	24	model	model	NOUN
cuesj-1198	105	25	might	might	AUX
cuesj-1198	105	26	converge	converge	VERB
cuesj-1198	105	27	slowly	slowly	ADV
cuesj-1198	105	28	.	.	PUNCT
cuesj-1198	106	1	adjusting	adjust	VERB
cuesj-1198	106	2	the	the	DET
cuesj-1198	106	3	learning	learning	NOUN
cuesj-1198	106	4	rate	rate	NOUN
cuesj-1198	106	5	could	could	AUX
cuesj-1198	106	6	impact	impact	VERB
cuesj-1198	106	7	the	the	DET
cuesj-1198	106	8	convergence	convergence	NOUN
cuesj-1198	106	9	speed	speed	NOUN
cuesj-1198	106	10	.	.	PUNCT
cuesj-1198	107	1	•	•	NUM
cuesj-1198	107	2	model	model	NOUN
cuesj-1198	107	3	complexity	complexity	NOUN
cuesj-1198	107	4	:	:	PUNCT
cuesj-1198	107	5	if	if	SCONJ
cuesj-1198	107	6	the	the	DET
cuesj-1198	107	7	model	model	NOUN
cuesj-1198	107	8	is	be	AUX
cuesj-1198	107	9	too	too	ADV
cuesj-1198	107	10	complex	complex	ADJ
cuesj-1198	107	11	for	for	ADP
cuesj-1198	107	12	the	the	DET
cuesj-1198	107	13	given	give	VERB
cuesj-1198	107	14	data	datum	NOUN
cuesj-1198	107	15	,	,	PUNCT
cuesj-1198	107	16	it	it	PRON
cuesj-1198	107	17	might	might	AUX
cuesj-1198	107	18	overfit	overfit	VERB
cuesj-1198	107	19	the	the	DET
cuesj-1198	107	20	training	training	NOUN
cuesj-1198	107	21	set	set	NOUN
cuesj-1198	107	22	,	,	PUNCT
cuesj-1198	107	23	leading	lead	VERB
cuesj-1198	107	24	to	to	ADP
cuesj-1198	107	25	poor	poor	ADJ
cuesj-1198	107	26	generalization	generalization	NOUN
cuesj-1198	107	27	of	of	ADP
cuesj-1198	107	28	new	new	ADJ
cuesj-1198	107	29	data	datum	NOUN
cuesj-1198	107	30	.	.	PUNCT
cuesj-1198	108	1	regularization	regularization	NOUN
cuesj-1198	108	2	techniques	technique	NOUN
cuesj-1198	108	3	or	or	CCONJ
cuesj-1198	108	4	adjusting	adjust	VERB
cuesj-1198	108	5	the	the	DET
cuesj-1198	108	6	model	model	NOUN
cuesj-1198	108	7	architecture	architecture	NOUN
cuesj-1198	108	8	could	could	AUX
cuesj-1198	108	9	help	help	VERB
cuesj-1198	108	10	.	.	PUNCT
cuesj-1198	109	1	•	•	NOUN
cuesj-1198	109	2	data	datum	NOUN
cuesj-1198	109	3	quality	quality	NOUN
cuesj-1198	109	4	and	and	CCONJ
cuesj-1198	109	5	distribution	distribution	NOUN
cuesj-1198	109	6	:	:	PUNCT
cuesj-1198	109	7	the	the	DET
cuesj-1198	109	8	training	training	NOUN
cuesj-1198	109	9	loss	loss	NOUN
cuesj-1198	109	10	is	be	AUX
cuesj-1198	109	11	also	also	ADV
cuesj-1198	109	12	influenced	influence	VERB
cuesj-1198	109	13	by	by	ADP
cuesj-1198	109	14	the	the	DET
cuesj-1198	109	15	quality	quality	NOUN
cuesj-1198	109	16	and	and	CCONJ
cuesj-1198	109	17	distribution	distribution	NOUN
cuesj-1198	109	18	of	of	ADP
cuesj-1198	109	19	the	the	DET
cuesj-1198	109	20	training	training	NOUN
cuesj-1198	109	21	data	datum	NOUN
cuesj-1198	109	22	.	.	PUNCT
cuesj-1198	110	1	ensure	ensure	VERB
cuesj-1198	110	2	that	that	SCONJ
cuesj-1198	110	3	the	the	DET
cuesj-1198	110	4	dataset	dataset	NOUN
cuesj-1198	110	5	is	be	AUX
cuesj-1198	110	6	representative	representative	ADJ
cuesj-1198	110	7	and	and	CCONJ
cuesj-1198	110	8	that	that	SCONJ
cuesj-1198	110	9	outliers	outlier	NOUN
cuesj-1198	110	10	or	or	CCONJ
cuesj-1198	110	11	noise	noise	NOUN
cuesj-1198	110	12	are	be	AUX
cuesj-1198	110	13	appropriately	appropriately	ADV
cuesj-1198	110	14	handled	handle	VERB
cuesj-1198	110	15	.	.	PUNCT
cuesj-1198	111	1	•	•	NUM
cuesj-1198	111	2	evaluation	evaluation	NOUN
cuesj-1198	111	3	on	on	ADP
cuesj-1198	111	4	test	test	NOUN
cuesj-1198	111	5	set	set	NOUN
cuesj-1198	111	6	:	:	PUNCT
cuesj-1198	111	7	while	while	SCONJ
cuesj-1198	111	8	training	training	NOUN
cuesj-1198	111	9	loss	loss	NOUN
cuesj-1198	111	10	is	be	AUX
cuesj-1198	111	11	informative	informative	ADJ
cuesj-1198	111	12	,	,	PUNCT
cuesj-1198	111	13	it	it	PRON
cuesj-1198	111	14	is	be	AUX
cuesj-1198	111	15	crucial	crucial	ADJ
cuesj-1198	111	16	to	to	PART
cuesj-1198	111	17	evaluate	evaluate	VERB
cuesj-1198	111	18	the	the	DET
cuesj-1198	111	19	model	model	NOUN
cuesj-1198	111	20	’s	’s	PART
cuesj-1198	111	21	performance	performance	NOUN
cuesj-1198	111	22	on	on	ADP
cuesj-1198	111	23	a	a	DET
cuesj-1198	111	24	separate	separate	ADJ
cuesj-1198	111	25	test	test	NOUN
cuesj-1198	111	26	set	set	VERB
cuesj-1198	111	27	to	to	PART
cuesj-1198	111	28	ensure	ensure	VERB
cuesj-1198	111	29	it	it	PRON
cuesj-1198	111	30	generalizes	generalize	VERB
cuesj-1198	111	31	well	well	ADV
cuesj-1198	111	32	to	to	ADP
cuesj-1198	111	33	unseen	unseen	ADJ
cuesj-1198	111	34	data	datum	NOUN
cuesj-1198	111	35	.	.	PUNCT
cuesj-1198	112	1	figure	figure	NOUN
cuesj-1198	112	2	5	5	NUM
cuesj-1198	112	3	shows	show	VERB
cuesj-1198	112	4	ann	ann	PROPN
cuesj-1198	112	5	training	training	NOUN
cuesj-1198	112	6	loss	loss	NOUN
cuesj-1198	112	7	over	over	ADP
cuesj-1198	112	8	epochs	epoch	NOUN
cuesj-1198	112	9	.	.	PUNCT
cuesj-1198	113	1	if	if	SCONJ
cuesj-1198	113	2	the	the	DET
cuesj-1198	113	3	training	training	NOUN
cuesj-1198	113	4	loss	loss	NOUN
cuesj-1198	113	5	continues	continue	VERB
cuesj-1198	113	6	to	to	PART
cuesj-1198	113	7	decrease	decrease	VERB
cuesj-1198	113	8	,	,	PUNCT
cuesj-1198	113	9	and	and	CCONJ
cuesj-1198	113	10	the	the	DET
cuesj-1198	113	11	model	model	NOUN
cuesj-1198	113	12	performs	perform	VERB
cuesj-1198	113	13	well	well	ADV
cuesj-1198	113	14	on	on	ADP
cuesj-1198	113	15	the	the	DET
cuesj-1198	113	16	test	test	NOUN
cuesj-1198	113	17	set	set	NOUN
cuesj-1198	113	18	,	,	PUNCT
cuesj-1198	113	19	it	it	PRON
cuesj-1198	113	20	indicates	indicate	VERB
cuesj-1198	113	21	successful	successful	ADJ
cuesj-1198	113	22	training	training	NOUN
cuesj-1198	113	23	.	.	PUNCT
cuesj-1198	114	1	if	if	SCONJ
cuesj-1198	114	2	the	the	DET
cuesj-1198	114	3	training	training	NOUN
cuesj-1198	114	4	loss	loss	NOUN
cuesj-1198	114	5	plateaus	plateaus	NOUN
cuesj-1198	114	6	or	or	CCONJ
cuesj-1198	114	7	increases	increase	NOUN
cuesj-1198	114	8	on	on	ADP
cuesj-1198	114	9	the	the	DET
cuesj-1198	114	10	test	test	NOUN
cuesj-1198	114	11	set	set	NOUN
cuesj-1198	114	12	,	,	PUNCT
cuesj-1198	114	13	it	it	PRON
cuesj-1198	114	14	might	might	AUX
cuesj-1198	114	15	be	be	AUX
cuesj-1198	114	16	a	a	DET
cuesj-1198	114	17	sign	sign	NOUN
cuesj-1198	114	18	of	of	ADP
cuesj-1198	114	19	overfitting	overfitte	VERB
cuesj-1198	114	20	or	or	CCONJ
cuesj-1198	114	21	other	other	ADJ
cuesj-1198	114	22	issues	issue	NOUN
cuesj-1198	114	23	that	that	PRON
cuesj-1198	114	24	need	need	VERB
cuesj-1198	114	25	attention	attention	NOUN
cuesj-1198	114	26	.	.	PUNCT
cuesj-1198	115	1	application	application	NOUN
cuesj-1198	115	2	of	of	ADP
cuesj-1198	115	3	pso	pso	NOUN
cuesj-1198	115	4	pso	pso	NOUN
cuesj-1198	115	5	is	be	AUX
cuesj-1198	115	6	a	a	DET
cuesj-1198	115	7	nature	nature	NOUN
cuesj-1198	115	8	-	-	PUNCT
cuesj-1198	115	9	inspired	inspire	VERB
cuesj-1198	115	10	optimization	optimization	NOUN
cuesj-1198	115	11	algorithm	algorithm	NOUN
cuesj-1198	115	12	that	that	PRON
cuesj-1198	115	13	simulates	simulate	VERB
cuesj-1198	115	14	the	the	DET
cuesj-1198	115	15	social	social	ADJ
cuesj-1198	115	16	behavior	behavior	NOUN
cuesj-1198	115	17	of	of	ADP
cuesj-1198	115	18	birds	bird	NOUN
cuesj-1198	115	19	or	or	CCONJ
cuesj-1198	115	20	fish	fish	NOUN
cuesj-1198	115	21	.	.	PUNCT
cuesj-1198	116	1	in	in	ADP
cuesj-1198	116	2	the	the	DET
cuesj-1198	116	3	context	context	NOUN
cuesj-1198	116	4	of	of	ADP
cuesj-1198	116	5	neural	neural	ADJ
cuesj-1198	116	6	network	network	NOUN
cuesj-1198	116	7	training	training	NOUN
cuesj-1198	116	8	,	,	PUNCT
cuesj-1198	116	9	pso	pso	NOUN
cuesj-1198	116	10	can	can	AUX
cuesj-1198	116	11	be	be	AUX
cuesj-1198	116	12	employed	employ	VERB
cuesj-1198	116	13	to	to	PART
cuesj-1198	116	14	search	search	VERB
cuesj-1198	116	15	for	for	ADP
cuesj-1198	116	16	optimal	optimal	ADJ
cuesj-1198	116	17	sets	set	NOUN
cuesj-1198	116	18	of	of	ADP
cuesj-1198	116	19	parameters	parameter	NOUN
cuesj-1198	116	20	(	(	PUNCT
cuesj-1198	116	21	weights	weight	NOUN
cuesj-1198	116	22	and	and	CCONJ
cuesj-1198	116	23	biases	bias	NOUN
cuesj-1198	116	24	)	)	PUNCT
cuesj-1198	116	25	that	that	PRON
cuesj-1198	116	26	minimize	minimize	VERB
cuesj-1198	116	27	a	a	DET
cuesj-1198	116	28	cost	cost	NOUN
cuesj-1198	116	29	function	function	NOUN
cuesj-1198	116	30	,	,	PUNCT
cuesj-1198	116	31	ultimately	ultimately	ADV
cuesj-1198	116	32	improving	improve	VERB
cuesj-1198	116	33	the	the	DET
cuesj-1198	116	34	performance	performance	NOUN
cuesj-1198	116	35	of	of	ADP
cuesj-1198	116	36	the	the	DET
cuesj-1198	116	37	neural	neural	ADJ
cuesj-1198	116	38	network	network	NOUN
cuesj-1198	116	39	.	.	PUNCT
cuesj-1198	117	1	integration	integration	NOUN
cuesj-1198	117	2	with	with	ADP
cuesj-1198	117	3	ann	ann	PROPN
cuesj-1198	117	4	training	training	NOUN
cuesj-1198	117	5	in	in	ADP
cuesj-1198	117	6	the	the	DET
cuesj-1198	117	7	code	code	NOUN
cuesj-1198	117	8	,	,	PUNCT
cuesj-1198	117	9	pso	pso	NOUN
cuesj-1198	117	10	is	be	AUX
cuesj-1198	117	11	integrated	integrate	VERB
cuesj-1198	117	12	into	into	ADP
cuesj-1198	117	13	the	the	DET
cuesj-1198	117	14	training	training	NOUN
cuesj-1198	117	15	process	process	NOUN
cuesj-1198	117	16	of	of	ADP
cuesj-1198	117	17	the	the	DET
cuesj-1198	117	18	ann	ann	PROPN
cuesj-1198	117	19	after	after	ADP
cuesj-1198	117	20	an	an	DET
cuesj-1198	117	21	initial	initial	ADJ
cuesj-1198	117	22	training	training	NOUN
cuesj-1198	117	23	phase	phase	NOUN
cuesj-1198	117	24	.	.	PUNCT
cuesj-1198	118	1	the	the	DET
cuesj-1198	118	2	goal	goal	NOUN
cuesj-1198	118	3	is	be	AUX
cuesj-1198	118	4	to	to	ADP
cuesj-1198	118	5	fine	fine	ADJ
cuesj-1198	118	6	-	-	PUNCT
cuesj-1198	118	7	tune	tune	NOUN
cuesj-1198	118	8	the	the	DET
cuesj-1198	118	9	weights	weight	NOUN
cuesj-1198	118	10	and	and	CCONJ
cuesj-1198	118	11	biases	bias	NOUN
cuesj-1198	118	12	of	of	ADP
cuesj-1198	118	13	the	the	DET
cuesj-1198	118	14	neural	neural	ADJ
cuesj-1198	118	15	network	network	NOUN
cuesj-1198	118	16	to	to	PART
cuesj-1198	118	17	further	far	ADV
cuesj-1198	118	18	enhance	enhance	VERB
cuesj-1198	118	19	its	its	PRON
cuesj-1198	118	20	performance	performance	NOUN
cuesj-1198	118	21	.	.	PUNCT
cuesj-1198	119	1	pso	pso	NOUN
cuesj-1198	119	2	parameters	parameter	NOUN
cuesj-1198	119	3	the	the	DET
cuesj-1198	119	4	pso	pso	NOUN
cuesj-1198	119	5	algorithm	algorithm	NOUN
cuesj-1198	119	6	involves	involve	VERB
cuesj-1198	119	7	a	a	DET
cuesj-1198	119	8	swarm	swarm	NOUN
cuesj-1198	119	9	of	of	ADP
cuesj-1198	119	10	particles	particle	NOUN
cuesj-1198	119	11	(	(	PUNCT
cuesj-1198	119	12	potential	potential	ADJ
cuesj-1198	119	13	solutions	solution	NOUN
cuesj-1198	119	14	)	)	PUNCT
cuesj-1198	119	15	that	that	PRON
cuesj-1198	119	16	move	move	VERB
cuesj-1198	119	17	through	through	ADP
cuesj-1198	119	18	the	the	DET
cuesj-1198	119	19	solution	solution	NOUN
cuesj-1198	119	20	space	space	NOUN
cuesj-1198	119	21	seeking	seek	VERB
cuesj-1198	119	22	the	the	DET
cuesj-1198	119	23	optimum	optimum	NOUN
cuesj-1198	119	24	.	.	PUNCT
cuesj-1198	120	1	each	each	DET
cuesj-1198	120	2	particle	particle	NOUN
cuesj-1198	120	3	’s	’s	PART
cuesj-1198	120	4	position	position	NOUN
cuesj-1198	120	5	represents	represent	VERB
cuesj-1198	120	6	a	a	DET
cuesj-1198	120	7	potential	potential	ADJ
cuesj-1198	120	8	solution	solution	NOUN
cuesj-1198	120	9	,	,	PUNCT
cuesj-1198	120	10	and	and	CCONJ
cuesj-1198	120	11	its	its	PRON
cuesj-1198	120	12	movement	movement	NOUN
cuesj-1198	120	13	is	be	AUX
cuesj-1198	120	14	guided	guide	VERB
cuesj-1198	120	15	by	by	ADP
cuesj-1198	120	16	its	its	PRON
cuesj-1198	120	17	own	own	ADJ
cuesj-1198	120	18	experience	experience	NOUN
cuesj-1198	120	19	and	and	CCONJ
cuesj-1198	120	20	the	the	DET
cuesj-1198	120	21	collective	collective	ADJ
cuesj-1198	120	22	experience	experience	NOUN
cuesj-1198	120	23	of	of	ADP
cuesj-1198	120	24	the	the	DET
cuesj-1198	120	25	swarm	swarm	NOUN
cuesj-1198	120	26	.	.	PUNCT
cuesj-1198	121	1	figure	figure	VERB
cuesj-1198	121	2	5	5	NUM
cuesj-1198	121	3	:	:	PUNCT
cuesj-1198	121	4	ann	ann	PROPN
cuesj-1198	121	5	training	training	NOUN
cuesj-1198	121	6	loss	loss	NOUN
cuesj-1198	121	7	over	over	ADP
cuesj-1198	121	8	epochs	epochs	ADJ
cuesj-1198	121	9	main	main	ADJ
cuesj-1198	121	10	parameters	parameter	NOUN
cuesj-1198	121	11	optimized	optimize	VERB
cuesj-1198	121	12	with	with	ADP
cuesj-1198	121	13	pso	pso	NOUN
cuesj-1198	121	14	1	1	NUM
cuesj-1198	121	15	.	.	PUNCT
cuesj-1198	121	16	particle	particle	NOUN
cuesj-1198	121	17	position	position	NOUN
cuesj-1198	121	18	:	:	PUNCT
cuesj-1198	121	19	the	the	DET
cuesj-1198	121	20	particle	particle	NOUN
cuesj-1198	121	21	position	position	NOUN
cuesj-1198	121	22	represents	represent	VERB
cuesj-1198	121	23	a	a	DET
cuesj-1198	121	24	set	set	NOUN
cuesj-1198	121	25	of	of	ADP
cuesj-1198	121	26	parameters	parameter	NOUN
cuesj-1198	121	27	for	for	ADP
cuesj-1198	121	28	the	the	DET
cuesj-1198	121	29	neural	neural	ADJ
cuesj-1198	121	30	network	network	NOUN
cuesj-1198	121	31	,	,	PUNCT
cuesj-1198	121	32	including	include	VERB
cuesj-1198	121	33	weights	weight	NOUN
cuesj-1198	121	34	and	and	CCONJ
cuesj-1198	121	35	biases	bias	NOUN
cuesj-1198	121	36	.	.	PUNCT
cuesj-1198	122	1	pso	pso	NOUN
cuesj-1198	122	2	optimizes	optimize	VERB
cuesj-1198	122	3	these	these	DET
cuesj-1198	122	4	parameters	parameter	NOUN
cuesj-1198	122	5	to	to	PART
cuesj-1198	122	6	improve	improve	VERB
cuesj-1198	122	7	the	the	DET
cuesj-1198	122	8	network	network	NOUN
cuesj-1198	122	9	’s	’s	PART
cuesj-1198	122	10	ability	ability	NOUN
cuesj-1198	122	11	to	to	PART
cuesj-1198	122	12	make	make	VERB
cuesj-1198	122	13	accurate	accurate	ADJ
cuesj-1198	122	14	predictions	prediction	NOUN
cuesj-1198	122	15	.	.	PUNCT
cuesj-1198	123	1	2	2	X
cuesj-1198	123	2	.	.	X
cuesj-1198	123	3	particle	particle	NOUN
cuesj-1198	123	4	velocity	velocity	NOUN
cuesj-1198	123	5	:	:	PUNCT
cuesj-1198	123	6	particle	particle	NOUN
cuesj-1198	123	7	velocity	velocity	NOUN
cuesj-1198	123	8	determines	determine	VERB
cuesj-1198	123	9	how	how	SCONJ
cuesj-1198	123	10	fast	fast	ADV
cuesj-1198	123	11	a	a	DET
cuesj-1198	123	12	particle	particle	NOUN
cuesj-1198	123	13	moves	move	NOUN
cuesj-1198	123	14	through	through	ADP
cuesj-1198	123	15	the	the	DET
cuesj-1198	123	16	solution	solution	NOUN
cuesj-1198	123	17	space	space	NOUN
cuesj-1198	123	18	.	.	PUNCT
cuesj-1198	124	1	in	in	ADP
cuesj-1198	124	2	the	the	DET
cuesj-1198	124	3	context	context	NOUN
cuesj-1198	124	4	of	of	ADP
cuesj-1198	124	5	neural	neural	ADJ
cuesj-1198	124	6	network	network	NOUN
cuesj-1198	124	7	optimization	optimization	NOUN
cuesj-1198	124	8	,	,	PUNCT
cuesj-1198	124	9	it	it	PRON
cuesj-1198	124	10	influences	influence	VERB
cuesj-1198	124	11	how	how	SCONJ
cuesj-1198	124	12	much	much	ADJ
cuesj-1198	124	13	the	the	DET
cuesj-1198	124	14	parameters	parameter	NOUN
cuesj-1198	124	15	(	(	PUNCT
cuesj-1198	124	16	weights	weight	NOUN
cuesj-1198	124	17	and	and	CCONJ
cuesj-1198	124	18	biases	bias	NOUN
cuesj-1198	124	19	)	)	PUNCT
cuesj-1198	124	20	are	be	AUX
cuesj-1198	124	21	updated	update	VERB
cuesj-1198	124	22	in	in	ADP
cuesj-1198	124	23	each	each	DET
cuesj-1198	124	24	iteration	iteration	NOUN
cuesj-1198	124	25	.	.	PUNCT
cuesj-1198	125	1	3	3	X
cuesj-1198	125	2	.	.	X
cuesj-1198	125	3	objective	objective	ADJ
cuesj-1198	125	4	function	function	NOUN
cuesj-1198	125	5	:	:	PUNCT
cuesj-1198	125	6	the	the	DET
cuesj-1198	125	7	objective	objective	ADJ
cuesj-1198	125	8	function	function	NOUN
cuesj-1198	125	9	is	be	AUX
cuesj-1198	125	10	a	a	DET
cuesj-1198	125	11	crucial	crucial	ADJ
cuesj-1198	125	12	component	component	NOUN
cuesj-1198	125	13	in	in	ADP
cuesj-1198	125	14	pso	pso	NOUN
cuesj-1198	125	15	.	.	PUNCT
cuesj-1198	126	1	in	in	ADP
cuesj-1198	126	2	the	the	DET
cuesj-1198	126	3	context	context	NOUN
cuesj-1198	126	4	of	of	ADP
cuesj-1198	126	5	neural	neural	ADJ
cuesj-1198	126	6	network	network	NOUN
cuesj-1198	126	7	training	training	NOUN
cuesj-1198	126	8	,	,	PUNCT
cuesj-1198	126	9	it	it	PRON
cuesj-1198	126	10	is	be	AUX
cuesj-1198	126	11	often	often	ADV
cuesj-1198	126	12	associated	associate	VERB
cuesj-1198	126	13	with	with	ADP
cuesj-1198	126	14	the	the	DET
cuesj-1198	126	15	training	training	NOUN
cuesj-1198	126	16	loss	loss	NOUN
cuesj-1198	126	17	or	or	CCONJ
cuesj-1198	126	18	a	a	DET
cuesj-1198	126	19	related	relate	VERB
cuesj-1198	126	20	metric	metric	NOUN
cuesj-1198	126	21	.	.	PUNCT
cuesj-1198	127	1	pso	pso	NOUN
cuesj-1198	127	2	seeks	seek	VERB
cuesj-1198	127	3	to	to	PART
cuesj-1198	127	4	minimize	minimize	VERB
cuesj-1198	127	5	this	this	DET
cuesj-1198	127	6	function	function	NOUN
cuesj-1198	127	7	by	by	ADP
cuesj-1198	127	8	adjusting	adjust	VERB
cuesj-1198	127	9	the	the	DET
cuesj-1198	127	10	neural	neural	ADJ
cuesj-1198	127	11	network	network	NOUN
cuesj-1198	127	12	parameters	parameter	NOUN
cuesj-1198	127	13	.	.	PUNCT
cuesj-1198	128	1	4	4	X
cuesj-1198	128	2	.	.	X
cuesj-1198	128	3	swarm	swarm	NOUN
cuesj-1198	128	4	size	size	NOUN
cuesj-1198	128	5	and	and	CCONJ
cuesj-1198	128	6	iterations	iteration	NOUN
cuesj-1198	128	7	:	:	PUNCT
cuesj-1198	128	8	the	the	DET
cuesj-1198	128	9	size	size	NOUN
cuesj-1198	128	10	of	of	ADP
cuesj-1198	128	11	the	the	DET
cuesj-1198	128	12	swarm	swarm	NOUN
cuesj-1198	128	13	(	(	PUNCT
cuesj-1198	128	14	number	number	NOUN
cuesj-1198	128	15	of	of	ADP
cuesj-1198	128	16	particles	particle	NOUN
cuesj-1198	128	17	)	)	PUNCT
cuesj-1198	128	18	and	and	CCONJ
cuesj-1198	128	19	the	the	DET
cuesj-1198	128	20	number	number	NOUN
cuesj-1198	128	21	of	of	ADP
cuesj-1198	128	22	iterations	iteration	NOUN
cuesj-1198	128	23	are	be	AUX
cuesj-1198	128	24	important	important	ADJ
cuesj-1198	128	25	parameters	parameter	NOUN
cuesj-1198	128	26	that	that	PRON
cuesj-1198	128	27	influence	influence	VERB
cuesj-1198	128	28	the	the	DET
cuesj-1198	128	29	exploration	exploration	NOUN
cuesj-1198	128	30	-	-	PUNCT
cuesj-1198	128	31	exploitation	exploitation	NOUN
cuesj-1198	128	32	trade	trade	NOUN
cuesj-1198	128	33	-	-	PUNCT
cuesj-1198	128	34	off	off	NOUN
cuesj-1198	128	35	.	.	PUNCT
cuesj-1198	129	1	larger	large	ADJ
cuesj-1198	129	2	swarm	swarm	NOUN
cuesj-1198	129	3	sizes	size	NOUN
cuesj-1198	129	4	allow	allow	VERB
cuesj-1198	129	5	for	for	ADP
cuesj-1198	129	6	more	more	ADJ
cuesj-1198	129	7	exploration	exploration	NOUN
cuesj-1198	129	8	,	,	PUNCT
cuesj-1198	129	9	while	while	SCONJ
cuesj-1198	129	10	more	more	ADJ
cuesj-1198	129	11	iterations	iteration	NOUN
cuesj-1198	129	12	provide	provide	VERB
cuesj-1198	129	13	additional	additional	ADJ
cuesj-1198	129	14	opportunities	opportunity	NOUN
cuesj-1198	129	15	for	for	ADP
cuesj-1198	129	16	refinement	refinement	NOUN
cuesj-1198	129	17	.	.	PUNCT
cuesj-1198	130	1	5	5	X
cuesj-1198	130	2	.	.	X
cuesj-1198	130	3	inertia	inertia	NOUN
cuesj-1198	130	4	weight	weight	NOUN
cuesj-1198	130	5	,	,	PUNCT
cuesj-1198	130	6	c1	c1	NOUN
cuesj-1198	130	7	,	,	PUNCT
cuesj-1198	130	8	and	and	CCONJ
cuesj-1198	130	9	c2	c2	PROPN
cuesj-1198	130	10	:	:	PUNCT
cuesj-1198	130	11	these	these	PRON
cuesj-1198	130	12	are	be	AUX
cuesj-1198	130	13	control	control	NOUN
cuesj-1198	130	14	parameters	parameter	NOUN
cuesj-1198	130	15	in	in	ADP
cuesj-1198	130	16	the	the	DET
cuesj-1198	130	17	pso	pso	NOUN
cuesj-1198	130	18	algorithm	algorithm	NOUN
cuesj-1198	130	19	that	that	PRON
cuesj-1198	130	20	balances	balance	VERB
cuesj-1198	130	21	the	the	DET
cuesj-1198	130	22	influence	influence	NOUN
cuesj-1198	130	23	of	of	ADP
cuesj-1198	130	24	the	the	DET
cuesj-1198	130	25	particle	particle	NOUN
cuesj-1198	130	26	’s	’s	PART
cuesj-1198	130	27	current	current	ADJ
cuesj-1198	130	28	velocity	velocity	NOUN
cuesj-1198	130	29	,	,	PUNCT
cuesj-1198	130	30	its	its	PRON
cuesj-1198	130	31	personal	personal	ADJ
cuesj-1198	130	32	best	good	ADJ
cuesj-1198	130	33	position	position	NOUN
cuesj-1198	130	34	,	,	PUNCT
cuesj-1198	130	35	and	and	CCONJ
cuesj-1198	130	36	the	the	DET
cuesj-1198	130	37	global	global	ADJ
cuesj-1198	130	38	best	good	ADJ
cuesj-1198	130	39	position	position	NOUN
cuesj-1198	130	40	.	.	PUNCT
cuesj-1198	131	1	adjusting	adjust	VERB
cuesj-1198	131	2	these	these	DET
cuesj-1198	131	3	parameters	parameter	NOUN
cuesj-1198	131	4	impacts	impact	VERB
cuesj-1198	131	5	the	the	DET
cuesj-1198	131	6	convergence	convergence	NOUN
cuesj-1198	131	7	and	and	CCONJ
cuesj-1198	131	8	exploration	exploration	NOUN
cuesj-1198	131	9	characteristics	characteristic	NOUN
cuesj-1198	131	10	of	of	ADP
cuesj-1198	131	11	the	the	DET
cuesj-1198	131	12	algorithm	algorithm	NOUN
cuesj-1198	131	13	.	.	PUNCT
cuesj-1198	132	1	ann	ann	PROPN
cuesj-1198	132	2	optimized	optimize	VERB
cuesj-1198	132	3	parameters	parameter	NOUN
cuesj-1198	132	4	the	the	DET
cuesj-1198	132	5	pso	pso	NOUN
cuesj-1198	132	6	algorithm	algorithm	NOUN
cuesj-1198	132	7	is	be	AUX
cuesj-1198	132	8	applied	apply	VERB
cuesj-1198	132	9	to	to	PART
cuesj-1198	132	10	optimize	optimize	VERB
cuesj-1198	132	11	the	the	DET
cuesj-1198	132	12	hyperparameters	hyperparameter	NOUN
cuesj-1198	132	13	of	of	ADP
cuesj-1198	132	14	an	an	DET
cuesj-1198	132	15	ann	ann	PROPN
cuesj-1198	132	16	.	.	PUNCT
cuesj-1198	133	1	the	the	DET
cuesj-1198	133	2	hyperparameters	hyperparameter	NOUN
cuesj-1198	133	3	that	that	PRON
cuesj-1198	133	4	are	be	AUX
cuesj-1198	133	5	optimized	optimize	VERB
cuesj-1198	133	6	using	use	VERB
cuesj-1198	133	7	pso	pso	NOUN
cuesj-1198	133	8	in	in	ADP
cuesj-1198	133	9	the	the	DET
cuesj-1198	133	10	code	code	NOUN
cuesj-1198	133	11	include	include	VERB
cuesj-1198	133	12	:	:	PUNCT
cuesj-1198	133	13	1	1	X
cuesj-1198	133	14	.	.	X
cuesj-1198	133	15	number	number	NOUN
cuesj-1198	133	16	of	of	ADP
cuesj-1198	133	17	neurons	neuron	NOUN
cuesj-1198	133	18	in	in	ADP
cuesj-1198	133	19	the	the	DET
cuesj-1198	133	20	first	first	ADJ
cuesj-1198	133	21	hidden	hide	VERB
cuesj-1198	133	22	layer	layer	NOUN
cuesj-1198	133	23	(	(	PUNCT
cuesj-1198	133	24	hidden_layer1	hidden_layer1	NUM
cuesj-1198	133	25	):	):	PUNCT
cuesj-1198	133	26	•	•	NUM
cuesj-1198	133	27	values	value	NOUN
cuesj-1198	133	28	:	:	PUNCT
cuesj-1198	133	29	32	32	NUM
cuesj-1198	133	30	,	,	PUNCT
cuesj-1198	133	31	64	64	NUM
cuesj-1198	133	32	,	,	PUNCT
cuesj-1198	133	33	128	128	NUM
cuesj-1198	133	34	,	,	PUNCT
cuesj-1198	133	35	256	256	NUM
cuesj-1198	133	36	•	•	NOUN
cuesj-1198	133	37	this	this	DET
cuesj-1198	133	38	parameter	parameter	NOUN
cuesj-1198	133	39	represents	represent	VERB
cuesj-1198	133	40	the	the	DET
cuesj-1198	133	41	number	number	NOUN
cuesj-1198	133	42	of	of	ADP
cuesj-1198	133	43	neurons	neuron	NOUN
cuesj-1198	133	44	in	in	ADP
cuesj-1198	133	45	the	the	DET
cuesj-1198	133	46	first	first	ADJ
cuesj-1198	133	47	hidden	hide	VERB
cuesj-1198	133	48	layer	layer	NOUN
cuesj-1198	133	49	of	of	ADP
cuesj-1198	133	50	the	the	DET
cuesj-1198	133	51	neural	neural	ADJ
cuesj-1198	133	52	network	network	NOUN
cuesj-1198	133	53	.	.	PUNCT
cuesj-1198	134	1	2	2	X
cuesj-1198	134	2	.	.	X
cuesj-1198	134	3	number	number	NOUN
cuesj-1198	134	4	of	of	ADP
cuesj-1198	134	5	neurons	neuron	NOUN
cuesj-1198	134	6	in	in	ADP
cuesj-1198	134	7	the	the	DET
cuesj-1198	134	8	second	second	ADJ
cuesj-1198	134	9	hidden	hide	VERB
cuesj-1198	134	10	layer	layer	NOUN
cuesj-1198	134	11	(	(	PUNCT
cuesj-1198	134	12	hidden_layer2	hidden_layer2	NOUN
cuesj-1198	134	13	):	):	PUNCT
cuesj-1198	134	14	assaad	assaad	NOUN
cuesj-1198	134	15	and	and	CCONJ
cuesj-1198	134	16	shakah	shakah	PROPN
cuesj-1198	134	17	:	:	PUNCT
cuesj-1198	134	18	optimizing	optimize	VERB
cuesj-1198	134	19	health	health	NOUN
cuesj-1198	134	20	pattern	pattern	NOUN
cuesj-1198	134	21	recognition	recognition	NOUN
cuesj-1198	134	22	pso	pso	NOUN
cuesj-1198	134	23	approach	approach	NOUN
cuesj-1198	134	24	81	81	NUM
cuesj-1198	134	25	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	134	26	cuesj	cuesj	ADJ
cuesj-1198	134	27	2024	2024	NUM
cuesj-1198	134	28	,	,	PUNCT
cuesj-1198	134	29	8	8	NUM
cuesj-1198	134	30	(	(	PUNCT
cuesj-1198	134	31	2	2	NUM
cuesj-1198	134	32	):	):	PUNCT
cuesj-1198	134	33	76	76	NUM
cuesj-1198	134	34	-	-	SYM
cuesj-1198	134	35	83	83	NUM
cuesj-1198	134	36	•	•	NUM
cuesj-1198	134	37	values	value	NOUN
cuesj-1198	134	38	:	:	PUNCT
cuesj-1198	134	39	64	64	NUM
cuesj-1198	134	40	,	,	PUNCT
cuesj-1198	134	41	128	128	NUM
cuesj-1198	134	42	,	,	PUNCT
cuesj-1198	134	43	256	256	NUM
cuesj-1198	134	44	,	,	PUNCT
cuesj-1198	134	45	512	512	NUM
cuesj-1198	134	46	•	•	NOUN
cuesj-1198	134	47	this	this	DET
cuesj-1198	134	48	parameter	parameter	NOUN
cuesj-1198	134	49	represents	represent	VERB
cuesj-1198	134	50	the	the	DET
cuesj-1198	134	51	number	number	NOUN
cuesj-1198	134	52	of	of	ADP
cuesj-1198	134	53	neurons	neuron	NOUN
cuesj-1198	134	54	in	in	ADP
cuesj-1198	134	55	the	the	DET
cuesj-1198	134	56	second	second	ADJ
cuesj-1198	134	57	hidden	hide	VERB
cuesj-1198	134	58	layer	layer	NOUN
cuesj-1198	134	59	of	of	ADP
cuesj-1198	134	60	the	the	DET
cuesj-1198	134	61	neural	neural	ADJ
cuesj-1198	134	62	network	network	NOUN
cuesj-1198	134	63	.	.	PUNCT
cuesj-1198	135	1	3	3	X
cuesj-1198	135	2	.	.	X
cuesj-1198	135	3	activation	activation	NOUN
cuesj-1198	135	4	function	function	NOUN
cuesj-1198	135	5	in	in	ADP
cuesj-1198	135	6	the	the	DET
cuesj-1198	135	7	output	output	NOUN
cuesj-1198	135	8	layer	layer	NOUN
cuesj-1198	135	9	(	(	PUNCT
cuesj-1198	135	10	activation_functions	activation_function	NOUN
cuesj-1198	135	11	):	):	PUNCT
cuesj-1198	135	12	•	•	NUM
cuesj-1198	135	13	values	value	NOUN
cuesj-1198	135	14	:	:	PUNCT
cuesj-1198	135	15	“	"	PUNCT
cuesj-1198	135	16	linear	linear	ADJ
cuesj-1198	135	17	,	,	PUNCT
cuesj-1198	135	18	”	"	PUNCT
cuesj-1198	135	19	“	"	PUNCT
cuesj-1198	135	20	softmax	softmax	NOUN
cuesj-1198	135	21	”	"	PUNCT
cuesj-1198	135	22	•	•	ADP
cuesj-1198	135	23	this	this	DET
cuesj-1198	135	24	parameter	parameter	NOUN
cuesj-1198	135	25	represents	represent	VERB
cuesj-1198	135	26	the	the	DET
cuesj-1198	135	27	activation	activation	NOUN
cuesj-1198	135	28	function	function	NOUN
cuesj-1198	135	29	used	use	VERB
cuesj-1198	135	30	in	in	ADP
cuesj-1198	135	31	the	the	DET
cuesj-1198	135	32	output	output	NOUN
cuesj-1198	135	33	layer	layer	NOUN
cuesj-1198	135	34	of	of	ADP
cuesj-1198	135	35	the	the	DET
cuesj-1198	135	36	neural	neural	ADJ
cuesj-1198	135	37	network	network	NOUN
cuesj-1198	135	38	.	.	PUNCT
cuesj-1198	136	1	these	these	DET
cuesj-1198	136	2	hyperparameters	hyperparameter	NOUN
cuesj-1198	136	3	are	be	AUX
cuesj-1198	136	4	systematically	systematically	ADV
cuesj-1198	136	5	searched	search	VERB
cuesj-1198	136	6	using	use	VERB
cuesj-1198	136	7	nested	nested	ADJ
cuesj-1198	136	8	loops	loop	NOUN
cuesj-1198	136	9	,	,	PUNCT
cuesj-1198	136	10	where	where	SCONJ
cuesj-1198	136	11	the	the	DET
cuesj-1198	136	12	code	code	NOUN
cuesj-1198	136	13	iterates	iterate	VERB
cuesj-1198	136	14	through	through	ADP
cuesj-1198	136	15	different	different	ADJ
cuesj-1198	136	16	combinations	combination	NOUN
cuesj-1198	136	17	of	of	ADP
cuesj-1198	136	18	hidden_layer1	hidden_layer1	NOUN
cuesj-1198	136	19	,	,	PUNCT
cuesj-1198	136	20	hidden_layer2	hidden_layer2	NOUN
cuesj-1198	136	21	,	,	PUNCT
cuesj-1198	136	22	and	and	CCONJ
cuesj-1198	136	23	activation	activation	NOUN
cuesj-1198	136	24	functions	function	NOUN
cuesj-1198	136	25	.	.	PUNCT
cuesj-1198	137	1	for	for	ADP
cuesj-1198	137	2	each	each	DET
cuesj-1198	137	3	combination	combination	NOUN
cuesj-1198	137	4	,	,	PUNCT
cuesj-1198	137	5	a	a	DET
cuesj-1198	137	6	new	new	ADJ
cuesj-1198	137	7	ann	ann	PROPN
cuesj-1198	137	8	model	model	NOUN
cuesj-1198	137	9	is	be	AUX
cuesj-1198	137	10	created	create	VERB
cuesj-1198	137	11	and	and	CCONJ
cuesj-1198	137	12	trained	train	VERB
cuesj-1198	137	13	,	,	PUNCT
cuesj-1198	137	14	and	and	CCONJ
cuesj-1198	137	15	the	the	DET
cuesj-1198	137	16	resulting	result	VERB
cuesj-1198	137	17	loss	loss	NOUN
cuesj-1198	137	18	is	be	AUX
cuesj-1198	137	19	evaluated	evaluate	VERB
cuesj-1198	137	20	.	.	PUNCT
cuesj-1198	138	1	the	the	DET
cuesj-1198	138	2	pso	pso	NOUN
cuesj-1198	138	3	algorithm	algorithm	NOUN
cuesj-1198	138	4	is	be	AUX
cuesj-1198	138	5	used	use	VERB
cuesj-1198	138	6	to	to	PART
cuesj-1198	138	7	find	find	VERB
cuesj-1198	138	8	the	the	DET
cuesj-1198	138	9	combination	combination	NOUN
cuesj-1198	138	10	of	of	ADP
cuesj-1198	138	11	hyperparameters	hyperparameter	NOUN
cuesj-1198	138	12	that	that	PRON
cuesj-1198	138	13	minimize	minimize	VERB
cuesj-1198	138	14	the	the	DET
cuesj-1198	138	15	loss	loss	NOUN
cuesj-1198	138	16	.	.	PUNCT
cuesj-1198	139	1	the	the	DET
cuesj-1198	139	2	loss	loss	NOUN
cuesj-1198	139	3	is	be	AUX
cuesj-1198	139	4	calculated	calculate	VERB
cuesj-1198	139	5	using	use	VERB
cuesj-1198	139	6	the	the	DET
cuesj-1198	139	7	mean	mean	ADJ
cuesj-1198	139	8	squared	square	VERB
cuesj-1198	139	9	error	error	NOUN
cuesj-1198	139	10	loss	loss	NOUN
cuesj-1198	139	11	function	function	NOUN
cuesj-1198	139	12	,	,	PUNCT
cuesj-1198	139	13	and	and	CCONJ
cuesj-1198	139	14	the	the	DET
cuesj-1198	139	15	pso	pso	NOUN
cuesj-1198	139	16	algorithm	algorithm	NOUN
cuesj-1198	139	17	optimizes	optimize	VERB
cuesj-1198	139	18	the	the	DET
cuesj-1198	139	19	weights	weight	NOUN
cuesj-1198	139	20	and	and	CCONJ
cuesj-1198	139	21	biases	bias	NOUN
cuesj-1198	139	22	of	of	ADP
cuesj-1198	139	23	the	the	DET
cuesj-1198	139	24	neural	neural	ADJ
cuesj-1198	139	25	network	network	NOUN
cuesj-1198	139	26	concerning	concern	VERB
cuesj-1198	139	27	the	the	DET
cuesj-1198	139	28	specified	specify	VERB
cuesj-1198	139	29	hyperparameters	hyperparameter	NOUN
cuesj-1198	139	30	.	.	PUNCT
cuesj-1198	140	1	after	after	ADP
cuesj-1198	140	2	the	the	DET
cuesj-1198	140	3	pso	pso	NOUN
cuesj-1198	140	4	optimization	optimization	NOUN
cuesj-1198	140	5	,	,	PUNCT
cuesj-1198	140	6	the	the	DET
cuesj-1198	140	7	code	code	NOUN
cuesj-1198	140	8	prints	print	VERB
cuesj-1198	140	9	the	the	DET
cuesj-1198	140	10	minimum	minimum	ADJ
cuesj-1198	140	11	loss	loss	NOUN
cuesj-1198	140	12	value	value	NOUN
cuesj-1198	140	13	and	and	CCONJ
cuesj-1198	140	14	the	the	DET
cuesj-1198	140	15	corresponding	corresponding	ADJ
cuesj-1198	140	16	optimal	optimal	ADJ
cuesj-1198	140	17	hyperparameters	hyperparameter	NOUN
cuesj-1198	140	18	,	,	PUNCT
cuesj-1198	140	19	which	which	PRON
cuesj-1198	140	20	include	include	VERB
cuesj-1198	140	21	the	the	DET
cuesj-1198	140	22	number	number	NOUN
cuesj-1198	140	23	of	of	ADP
cuesj-1198	140	24	neurons	neuron	NOUN
cuesj-1198	140	25	in	in	ADP
cuesj-1198	140	26	the	the	DET
cuesj-1198	140	27	first	first	ADJ
cuesj-1198	140	28	hidden	hide	VERB
cuesj-1198	140	29	layer	layer	NOUN
cuesj-1198	140	30	(	(	PUNCT
cuesj-1198	140	31	hidden_layer1	hidden_layer1	NUM
cuesj-1198	140	32	)	)	PUNCT
cuesj-1198	140	33	and	and	CCONJ
cuesj-1198	140	34	the	the	DET
cuesj-1198	140	35	activation	activation	NOUN
cuesj-1198	140	36	function	function	NOUN
cuesj-1198	140	37	in	in	ADP
cuesj-1198	140	38	the	the	DET
cuesj-1198	140	39	output	output	NOUN
cuesj-1198	140	40	layer	layer	NOUN
cuesj-1198	140	41	(	(	PUNCT
cuesj-1198	140	42	activation_functions	activation_function	NOUN
cuesj-1198	140	43	)	)	PUNCT
cuesj-1198	140	44	.	.	PUNCT
cuesj-1198	141	1	the	the	DET
cuesj-1198	141	2	optimal	optimal	ADJ
cuesj-1198	141	3	combination	combination	NOUN
cuesj-1198	141	4	is	be	AUX
cuesj-1198	141	5	determined	determine	VERB
cuesj-1198	141	6	based	base	VERB
cuesj-1198	141	7	on	on	ADP
cuesj-1198	141	8	the	the	DET
cuesj-1198	141	9	minimum	minimum	ADJ
cuesj-1198	141	10	loss	loss	NOUN
cuesj-1198	141	11	achieved	achieve	VERB
cuesj-1198	141	12	during	during	ADP
cuesj-1198	141	13	the	the	DET
cuesj-1198	141	14	pso	pso	NOUN
cuesj-1198	141	15	optimization	optimization	NOUN
cuesj-1198	141	16	process	process	NOUN
cuesj-1198	141	17	.	.	PUNCT
cuesj-1198	142	1	table	table	NOUN
cuesj-1198	142	2	1	1	NUM
cuesj-1198	142	3	shows	show	VERB
cuesj-1198	142	4	the	the	DET
cuesj-1198	142	5	optimized	optimize	VERB
cuesj-1198	142	6	parameters	parameter	NOUN
cuesj-1198	142	7	of	of	ADP
cuesj-1198	142	8	ann	ann	PROPN
cuesj-1198	142	9	using	use	VERB
cuesj-1198	142	10	pso	pso	NOUN
cuesj-1198	142	11	and	and	CCONJ
cuesj-1198	142	12	the	the	DET
cuesj-1198	142	13	corresponding	corresponding	ADJ
cuesj-1198	142	14	minimum	minimum	ADJ
cuesj-1198	142	15	loss	loss	NOUN
cuesj-1198	142	16	value	value	NOUN
cuesj-1198	142	17	.	.	PUNCT
cuesj-1198	143	1	ann	ann	PROPN
cuesj-1198	143	2	loss	loss	NOUN
cuesj-1198	143	3	value	value	NOUN
cuesj-1198	143	4	after	after	ADP
cuesj-1198	143	5	pso	pso	NOUN
cuesj-1198	143	6	optimization	optimization	NOUN
cuesj-1198	143	7	a	a	DET
cuesj-1198	143	8	decrease	decrease	NOUN
cuesj-1198	143	9	in	in	ADP
cuesj-1198	143	10	the	the	DET
cuesj-1198	143	11	training	training	NOUN
cuesj-1198	143	12	loss	loss	NOUN
cuesj-1198	143	13	to	to	ADP
cuesj-1198	143	14	a	a	DET
cuesj-1198	143	15	value	value	NOUN
cuesj-1198	143	16	as	as	ADV
cuesj-1198	143	17	low	low	ADJ
cuesj-1198	143	18	as	as	ADP
cuesj-1198	143	19	0.004	0.004	NUM
cuesj-1198	143	20	is	be	AUX
cuesj-1198	143	21	generally	generally	ADV
cuesj-1198	143	22	a	a	DET
cuesj-1198	143	23	positive	positive	ADJ
cuesj-1198	143	24	outcome	outcome	NOUN
cuesj-1198	143	25	and	and	CCONJ
cuesj-1198	143	26	indicates	indicate	VERB
cuesj-1198	143	27	that	that	SCONJ
cuesj-1198	143	28	the	the	DET
cuesj-1198	143	29	optimization	optimization	NOUN
cuesj-1198	143	30	process	process	NOUN
cuesj-1198	143	31	,	,	PUNCT
cuesj-1198	143	32	facilitated	facilitate	VERB
cuesj-1198	143	33	by	by	ADP
cuesj-1198	143	34	pso	pso	NOUN
cuesj-1198	143	35	,	,	PUNCT
cuesj-1198	143	36	has	have	AUX
cuesj-1198	143	37	effectively	effectively	ADV
cuesj-1198	143	38	improved	improve	VERB
cuesj-1198	143	39	the	the	DET
cuesj-1198	143	40	performance	performance	NOUN
cuesj-1198	143	41	of	of	ADP
cuesj-1198	143	42	the	the	DET
cuesj-1198	143	43	ann	ann	PROPN
cuesj-1198	143	44	.	.	PROPN
cuesj-1198	143	45	figure	figure	NOUN
cuesj-1198	143	46	6	6	NUM
cuesj-1198	143	47	shows	show	VERB
cuesj-1198	143	48	the	the	DET
cuesj-1198	143	49	ann	ann	PROPN
cuesj-1198	143	50	training	training	NOUN
cuesj-1198	143	51	loss	loss	NOUN
cuesj-1198	143	52	over	over	ADP
cuesj-1198	143	53	epochs	epoch	NOUN
cuesj-1198	143	54	after	after	ADP
cuesj-1198	143	55	pso	pso	NOUN
cuesj-1198	143	56	optimization	optimization	NOUN
cuesj-1198	143	57	.	.	PUNCT
cuesj-1198	144	1	in	in	ADP
cuesj-1198	144	2	the	the	DET
cuesj-1198	144	3	following	following	NOUN
cuesj-1198	144	4	,	,	PUNCT
cuesj-1198	144	5	we	we	PRON
cuesj-1198	144	6	discuss	discuss	VERB
cuesj-1198	144	7	the	the	DET
cuesj-1198	144	8	significance	significance	NOUN
cuesj-1198	144	9	of	of	ADP
cuesj-1198	144	10	this	this	DET
cuesj-1198	144	11	achievement	achievement	NOUN
cuesj-1198	144	12	:	:	PUNCT
cuesj-1198	144	13	optimization	optimization	NOUN
cuesj-1198	144	14	success	success	NOUN
cuesj-1198	144	15	the	the	DET
cuesj-1198	144	16	decrease	decrease	NOUN
cuesj-1198	144	17	in	in	ADP
cuesj-1198	144	18	training	training	NOUN
cuesj-1198	144	19	loss	loss	NOUN
cuesj-1198	144	20	from	from	ADP
cuesj-1198	144	21	the	the	DET
cuesj-1198	144	22	initial	initial	ADJ
cuesj-1198	144	23	values	value	NOUN
cuesj-1198	144	24	to	to	ADP
cuesj-1198	144	25	0.004	0.004	NUM
cuesj-1198	144	26	suggests	suggest	VERB
cuesj-1198	144	27	that	that	SCONJ
cuesj-1198	144	28	the	the	DET
cuesj-1198	144	29	pso	pso	NOUN
cuesj-1198	144	30	algorithm	algorithm	NOUN
cuesj-1198	144	31	has	have	AUX
cuesj-1198	144	32	successfully	successfully	ADV
cuesj-1198	144	33	optimized	optimize	VERB
cuesj-1198	144	34	the	the	DET
cuesj-1198	144	35	weights	weight	NOUN
cuesj-1198	144	36	and	and	CCONJ
cuesj-1198	144	37	biases	bias	NOUN
cuesj-1198	144	38	of	of	ADP
cuesj-1198	144	39	the	the	DET
cuesj-1198	144	40	neural	neural	ADJ
cuesj-1198	144	41	network	network	NOUN
cuesj-1198	144	42	.	.	PUNCT
cuesj-1198	145	1	a	a	DET
cuesj-1198	145	2	lower	low	ADJ
cuesj-1198	145	3	training	training	NOUN
cuesj-1198	145	4	loss	loss	NOUN
cuesj-1198	145	5	indicates	indicate	VERB
cuesj-1198	145	6	that	that	SCONJ
cuesj-1198	145	7	the	the	DET
cuesj-1198	145	8	model	model	NOUN
cuesj-1198	145	9	is	be	AUX
cuesj-1198	145	10	better	well	ADJ
cuesj-1198	145	11	at	at	ADP
cuesj-1198	145	12	fitting	fit	VERB
cuesj-1198	145	13	the	the	DET
cuesj-1198	145	14	training	training	NOUN
cuesj-1198	145	15	data	datum	NOUN
cuesj-1198	145	16	and	and	CCONJ
cuesj-1198	145	17	capturing	capture	VERB
cuesj-1198	145	18	the	the	DET
cuesj-1198	145	19	underlying	underlie	VERB
cuesj-1198	145	20	patterns	pattern	NOUN
cuesj-1198	145	21	.	.	PUNCT
cuesj-1198	146	1	improved	improve	VERB
cuesj-1198	146	2	generalization	generalization	NOUN
cuesj-1198	146	3	achieving	achieve	VERB
cuesj-1198	146	4	a	a	DET
cuesj-1198	146	5	low	low	ADJ
cuesj-1198	146	6	training	training	NOUN
cuesj-1198	146	7	loss	loss	NOUN
cuesj-1198	146	8	is	be	AUX
cuesj-1198	146	9	an	an	DET
cuesj-1198	146	10	important	important	ADJ
cuesj-1198	146	11	step	step	NOUN
cuesj-1198	146	12	toward	toward	ADP
cuesj-1198	146	13	improved	improve	VERB
cuesj-1198	146	14	generalization	generalization	NOUN
cuesj-1198	146	15	.	.	PUNCT
cuesj-1198	147	1	while	while	SCONJ
cuesj-1198	147	2	training	training	NOUN
cuesj-1198	147	3	loss	loss	NOUN
cuesj-1198	147	4	measures	measure	VERB
cuesj-1198	147	5	the	the	DET
cuesj-1198	147	6	error	error	NOUN
cuesj-1198	147	7	on	on	ADP
cuesj-1198	147	8	the	the	DET
cuesj-1198	147	9	training	training	NOUN
cuesj-1198	147	10	set	set	NOUN
cuesj-1198	147	11	,	,	PUNCT
cuesj-1198	147	12	a	a	DET
cuesj-1198	147	13	low	low	ADJ
cuesj-1198	147	14	value	value	NOUN
cuesj-1198	147	15	indicates	indicate	VERB
cuesj-1198	147	16	that	that	SCONJ
cuesj-1198	147	17	the	the	DET
cuesj-1198	147	18	model	model	NOUN
cuesj-1198	147	19	has	have	AUX
cuesj-1198	147	20	learned	learn	VERB
cuesj-1198	147	21	to	to	PART
cuesj-1198	147	22	represent	represent	VERB
cuesj-1198	147	23	the	the	DET
cuesj-1198	147	24	patterns	pattern	NOUN
cuesj-1198	147	25	in	in	ADP
cuesj-1198	147	26	the	the	DET
cuesj-1198	147	27	data	datum	NOUN
cuesj-1198	147	28	.	.	PUNCT
cuesj-1198	148	1	this	this	PRON
cuesj-1198	148	2	,	,	PUNCT
cuesj-1198	148	3	in	in	ADP
cuesj-1198	148	4	turn	turn	NOUN
cuesj-1198	148	5	,	,	PUNCT
cuesj-1198	148	6	increases	increase	VERB
cuesj-1198	148	7	the	the	DET
cuesj-1198	148	8	likelihood	likelihood	NOUN
cuesj-1198	148	9	of	of	ADP
cuesj-1198	148	10	the	the	DET
cuesj-1198	148	11	model	model	NOUN
cuesj-1198	148	12	generalizing	generalize	VERB
cuesj-1198	148	13	well	well	ADV
cuesj-1198	148	14	to	to	ADP
cuesj-1198	148	15	unseen	unseen	ADJ
cuesj-1198	148	16	data	datum	NOUN
cuesj-1198	148	17	.	.	PUNCT
cuesj-1198	149	1	conclusion	conclusion	NOUN
cuesj-1198	149	2	clustering	cluster	VERB
cuesj-1198	149	3	insights	insight	NOUN
cuesj-1198	149	4	through	through	AUX
cuesj-1198	149	5	fcm	fcm	VERB
cuesj-1198	149	6	the	the	DET
cuesj-1198	149	7	application	application	NOUN
cuesj-1198	149	8	of	of	ADP
cuesj-1198	149	9	fcm	fcm	PROPN
cuesj-1198	149	10	clustering	cluster	VERB
cuesj-1198	149	11	to	to	ADP
cuesj-1198	149	12	health	health	NOUN
cuesj-1198	149	13	-	-	PUNCT
cuesj-1198	149	14	related	relate	VERB
cuesj-1198	149	15	indicators	indicator	NOUN
cuesj-1198	149	16	has	have	AUX
cuesj-1198	149	17	yielded	yield	VERB
cuesj-1198	149	18	profound	profound	ADJ
cuesj-1198	149	19	insights	insight	NOUN
cuesj-1198	149	20	into	into	ADP
cuesj-1198	149	21	the	the	DET
cuesj-1198	149	22	nuanced	nuanced	ADJ
cuesj-1198	149	23	structure	structure	NOUN
cuesj-1198	149	24	of	of	ADP
cuesj-1198	149	25	our	our	PRON
cuesj-1198	149	26	dataset	dataset	NOUN
cuesj-1198	149	27	.	.	PUNCT
cuesj-1198	150	1	by	by	ADP
cuesj-1198	150	2	categorizing	categorize	VERB
cuesj-1198	150	3	individuals	individual	NOUN
cuesj-1198	150	4	into	into	ADP
cuesj-1198	150	5	clusters	cluster	NOUN
cuesj-1198	150	6	based	base	VERB
cuesj-1198	150	7	on	on	ADP
cuesj-1198	150	8	factors	factor	NOUN
cuesj-1198	150	9	such	such	ADJ
cuesj-1198	150	10	as	as	ADP
cuesj-1198	150	11	smoking	smoking	NOUN
cuesj-1198	150	12	habits	habit	NOUN
cuesj-1198	150	13	,	,	PUNCT
cuesj-1198	150	14	bmi	bmi	NOUN
cuesj-1198	150	15	,	,	PUNCT
cuesj-1198	150	16	and	and	CCONJ
cuesj-1198	150	17	self	self	NOUN
cuesj-1198	150	18	-	-	PUNCT
cuesj-1198	150	19	reported	report	VERB
cuesj-1198	150	20	general	general	ADJ
cuesj-1198	150	21	health	health	NOUN
cuesj-1198	150	22	perceptions	perception	NOUN
cuesj-1198	150	23	,	,	PUNCT
cuesj-1198	150	24	fcm	fcm	AUX
cuesj-1198	150	25	facilitated	facilitate	VERB
cuesj-1198	150	26	the	the	DET
cuesj-1198	150	27	identification	identification	NOUN
cuesj-1198	150	28	of	of	ADP
cuesj-1198	150	29	distinct	distinct	ADJ
cuesj-1198	150	30	health	health	NOUN
cuesj-1198	150	31	profiles	profile	NOUN
cuesj-1198	150	32	.	.	PUNCT
cuesj-1198	151	1	each	each	DET
cuesj-1198	151	2	cluster	cluster	NOUN
cuesj-1198	151	3	encapsulates	encapsulate	VERB
cuesj-1198	151	4	a	a	DET
cuesj-1198	151	5	unique	unique	ADJ
cuesj-1198	151	6	set	set	NOUN
cuesj-1198	151	7	of	of	ADP
cuesj-1198	151	8	characteristics	characteristic	NOUN
cuesj-1198	151	9	,	,	PUNCT
cuesj-1198	151	10	allowing	allow	VERB
cuesj-1198	151	11	for	for	ADP
cuesj-1198	151	12	a	a	DET
cuesj-1198	151	13	more	more	ADV
cuesj-1198	151	14	granular	granular	ADJ
cuesj-1198	151	15	understanding	understanding	NOUN
cuesj-1198	151	16	of	of	ADP
cuesj-1198	151	17	health	health	NOUN
cuesj-1198	151	18	-	-	PUNCT
cuesj-1198	151	19	related	relate	VERB
cuesj-1198	151	20	trends	trend	NOUN
cuesj-1198	151	21	within	within	ADP
cuesj-1198	151	22	the	the	DET
cuesj-1198	151	23	population	population	NOUN
cuesj-1198	151	24	.	.	PUNCT
cuesj-1198	152	1	neural	neural	ADJ
cuesj-1198	152	2	network	network	NOUN
cuesj-1198	152	3	optimization	optimization	NOUN
cuesj-1198	152	4	through	through	ADP
cuesj-1198	152	5	pso	pso	NOUN
cuesj-1198	152	6	building	building	NOUN
cuesj-1198	152	7	upon	upon	SCONJ
cuesj-1198	152	8	the	the	DET
cuesj-1198	152	9	clustered	clustered	ADJ
cuesj-1198	152	10	insights	insight	NOUN
cuesj-1198	152	11	,	,	PUNCT
cuesj-1198	152	12	the	the	DET
cuesj-1198	152	13	subsequent	subsequent	ADJ
cuesj-1198	152	14	optimization	optimization	NOUN
cuesj-1198	152	15	of	of	ADP
cuesj-1198	152	16	the	the	DET
cuesj-1198	152	17	ann	ann	PROPN
cuesj-1198	152	18	using	use	VERB
cuesj-1198	152	19	pso	pso	NOUN
cuesj-1198	152	20	demonstrated	demonstrate	VERB
cuesj-1198	152	21	the	the	DET
cuesj-1198	152	22	potential	potential	NOUN
cuesj-1198	152	23	for	for	ADP
cuesj-1198	152	24	swarm	swarm	NOUN
cuesj-1198	152	25	intelligence	intelligence	NOUN
cuesj-1198	152	26	to	to	PART
cuesj-1198	152	27	enhance	enhance	VERB
cuesj-1198	152	28	predictive	predictive	ADJ
cuesj-1198	152	29	modeling	modeling	NOUN
cuesj-1198	152	30	in	in	ADP
cuesj-1198	152	31	the	the	DET
cuesj-1198	152	32	health	health	NOUN
cuesj-1198	152	33	domain	domain	NOUN
cuesj-1198	152	34	.	.	PUNCT
cuesj-1198	153	1	the	the	DET
cuesj-1198	153	2	substantial	substantial	ADJ
cuesj-1198	153	3	reduction	reduction	NOUN
cuesj-1198	153	4	of	of	ADP
cuesj-1198	153	5	the	the	DET
cuesj-1198	153	6	training	training	NOUN
cuesj-1198	153	7	loss	loss	NOUN
cuesj-1198	153	8	to	to	ADP
cuesj-1198	153	9	an	an	DET
cuesj-1198	153	10	impressive	impressive	ADJ
cuesj-1198	153	11	0.004	0.004	NUM
cuesj-1198	153	12	attests	attest	VERB
cuesj-1198	153	13	to	to	ADP
cuesj-1198	153	14	the	the	DET
cuesj-1198	153	15	efficacy	efficacy	NOUN
cuesj-1198	153	16	of	of	ADP
cuesj-1198	153	17	pso	pso	NOUN
cuesj-1198	153	18	in	in	ADP
cuesj-1198	153	19	finetuning	finetune	VERB
cuesj-1198	153	20	the	the	DET
cuesj-1198	153	21	neural	neural	ADJ
cuesj-1198	153	22	network	network	NOUN
cuesj-1198	153	23	parameters	parameter	NOUN
cuesj-1198	153	24	.	.	PUNCT
cuesj-1198	154	1	this	this	DET
cuesj-1198	154	2	optimization	optimization	NOUN
cuesj-1198	154	3	not	not	PART
cuesj-1198	154	4	only	only	ADV
cuesj-1198	154	5	improves	improve	VERB
cuesj-1198	154	6	the	the	DET
cuesj-1198	154	7	model	model	NOUN
cuesj-1198	154	8	’s	’s	PART
cuesj-1198	154	9	ability	ability	NOUN
cuesj-1198	154	10	to	to	PART
cuesj-1198	154	11	capture	capture	VERB
cuesj-1198	154	12	intricate	intricate	ADJ
cuesj-1198	154	13	relationships	relationship	NOUN
cuesj-1198	154	14	within	within	ADP
cuesj-1198	154	15	the	the	DET
cuesj-1198	154	16	data	datum	NOUN
cuesj-1198	154	17	but	but	CCONJ
cuesj-1198	154	18	also	also	ADV
cuesj-1198	154	19	positions	position	VERB
cuesj-1198	154	20	the	the	DET
cuesj-1198	154	21	ann	ann	PROPN
cuesj-1198	154	22	as	as	ADP
cuesj-1198	154	23	a	a	DET
cuesj-1198	154	24	powerful	powerful	ADJ
cuesj-1198	154	25	tool	tool	NOUN
cuesj-1198	154	26	for	for	ADP
cuesj-1198	154	27	health	health	NOUN
cuesj-1198	154	28	prediction	prediction	NOUN
cuesj-1198	154	29	.	.	PUNCT
cuesj-1198	155	1	significance	significance	NOUN
cuesj-1198	155	2	of	of	ADP
cuesj-1198	155	3	achieved	achieve	VERB
cuesj-1198	155	4	results	result	NOUN
cuesj-1198	155	5	the	the	DET
cuesj-1198	155	6	achieved	achieve	VERB
cuesj-1198	155	7	results	result	NOUN
cuesj-1198	155	8	hold	hold	VERB
cuesj-1198	155	9	significance	significance	NOUN
cuesj-1198	155	10	in	in	ADP
cuesj-1198	155	11	several	several	ADJ
cuesj-1198	155	12	key	key	ADJ
cuesj-1198	155	13	aspects	aspect	NOUN
cuesj-1198	155	14	:	:	PUNCT
cuesj-1198	155	15	precision	precision	NOUN
cuesj-1198	155	16	in	in	ADP
cuesj-1198	155	17	health	health	NOUN
cuesj-1198	155	18	profiling	profiling	NOUN
cuesj-1198	155	19	the	the	DET
cuesj-1198	155	20	clustering	clustering	ADJ
cuesj-1198	155	21	results	result	NOUN
cuesj-1198	155	22	obtained	obtain	VERB
cuesj-1198	155	23	through	through	ADP
cuesj-1198	155	24	fcm	fcm	AUX
cuesj-1198	155	25	provide	provide	VERB
cuesj-1198	155	26	a	a	DET
cuesj-1198	155	27	detailed	detailed	ADJ
cuesj-1198	155	28	segmentation	segmentation	NOUN
cuesj-1198	155	29	of	of	ADP
cuesj-1198	155	30	the	the	DET
cuesj-1198	155	31	population	population	NOUN
cuesj-1198	155	32	based	base	VERB
cuesj-1198	155	33	on	on	ADP
cuesj-1198	155	34	health	health	NOUN
cuesj-1198	155	35	indicators	indicator	NOUN
cuesj-1198	155	36	.	.	PUNCT
cuesj-1198	156	1	this	this	DET
cuesj-1198	156	2	precision	precision	NOUN
cuesj-1198	156	3	in	in	ADP
cuesj-1198	156	4	health	health	NOUN
cuesj-1198	156	5	profiling	profiling	NOUN
cuesj-1198	156	6	enables	enable	VERB
cuesj-1198	156	7	targeted	target	VERB
cuesj-1198	156	8	interventions	intervention	NOUN
cuesj-1198	156	9	and	and	CCONJ
cuesj-1198	156	10	personalized	personalize	VERB
cuesj-1198	156	11	healthcare	healthcare	NOUN
cuesj-1198	156	12	strategies	strategy	NOUN
cuesj-1198	156	13	.	.	PUNCT
cuesj-1198	157	1	health	health	NOUN
cuesj-1198	157	2	practitioners	practitioner	NOUN
cuesj-1198	157	3	and	and	CCONJ
cuesj-1198	157	4	policymakers	policymaker	NOUN
cuesj-1198	157	5	can	can	AUX
cuesj-1198	157	6	leverage	leverage	VERB
cuesj-1198	157	7	these	these	DET
cuesj-1198	157	8	insights	insight	NOUN
cuesj-1198	157	9	to	to	PART
cuesj-1198	157	10	tailor	tailor	VERB
cuesj-1198	157	11	health	health	NOUN
cuesj-1198	157	12	programs	program	NOUN
cuesj-1198	157	13	that	that	PRON
cuesj-1198	157	14	address	address	VERB
cuesj-1198	157	15	the	the	DET
cuesj-1198	157	16	specific	specific	ADJ
cuesj-1198	157	17	needs	need	NOUN
cuesj-1198	157	18	of	of	ADP
cuesj-1198	157	19	each	each	DET
cuesj-1198	157	20	cluster	cluster	NOUN
cuesj-1198	157	21	.	.	PUNCT
cuesj-1198	158	1	improved	improve	VERB
cuesj-1198	158	2	predictive	predictive	ADJ
cuesj-1198	158	3	capabilities	capability	NOUN
cuesj-1198	158	4	the	the	DET
cuesj-1198	158	5	optimized	optimize	VERB
cuesj-1198	158	6	ann	ann	PROPN
cuesj-1198	158	7	,	,	PUNCT
cuesj-1198	158	8	refined	refine	VERB
cuesj-1198	158	9	through	through	ADP
cuesj-1198	158	10	pso	pso	NOUN
cuesj-1198	158	11	,	,	PUNCT
cuesj-1198	158	12	showcases	showcase	VERB
cuesj-1198	158	13	improved	improve	VERB
cuesj-1198	158	14	predictive	predictive	ADJ
cuesj-1198	158	15	capabilities	capability	NOUN
cuesj-1198	158	16	with	with	ADP
cuesj-1198	158	17	a	a	DET
cuesj-1198	158	18	training	training	NOUN
cuesj-1198	158	19	loss	loss	NOUN
cuesj-1198	158	20	of	of	ADP
cuesj-1198	158	21	0.004	0.004	NUM
cuesj-1198	158	22	.	.	PUNCT
cuesj-1198	159	1	figure	figure	NOUN
cuesj-1198	159	2	6	6	NUM
cuesj-1198	159	3	:	:	PUNCT
cuesj-1198	159	4	ann	ann	PROPN
cuesj-1198	159	5	loss	loss	NOUN
cuesj-1198	159	6	over	over	ADP
cuesj-1198	159	7	epochs	epoch	NOUN
cuesj-1198	159	8	after	after	ADP
cuesj-1198	159	9	pso	pso	NOUN
cuesj-1198	159	10	optimization	optimization	NOUN
cuesj-1198	159	11	table	table	NOUN
cuesj-1198	159	12	1	1	NUM
cuesj-1198	159	13	:	:	PUNCT
cuesj-1198	159	14	ann	ann	PROPN
cuesj-1198	159	15	-	-	PUNCT
cuesj-1198	159	16	optimized	optimize	VERB
cuesj-1198	159	17	parameters	parameter	NOUN
cuesj-1198	159	18	parameter	parameter	NOUN
cuesj-1198	159	19	optimized	optimize	VERB
cuesj-1198	159	20	value	value	NOUN
cuesj-1198	159	21	hidden	hide	VERB
cuesj-1198	159	22	layer	layer	NOUN
cuesj-1198	159	23	1	1	NUM
cuesj-1198	159	24	256	256	NUM
cuesj-1198	159	25	activation	activation	NOUN
cuesj-1198	159	26	function	function	VERB
cuesj-1198	159	27	softmax	softmax	ADJ
cuesj-1198	159	28	minimum	minimum	NOUN
cuesj-1198	159	29	loss	loss	NOUN
cuesj-1198	159	30	value	value	NOUN
cuesj-1198	159	31	1.27e-12	1.27e-12	NUM
cuesj-1198	159	32	assaad	assaad	NOUN
cuesj-1198	159	33	and	and	CCONJ
cuesj-1198	159	34	shakah	shakah	PROPN
cuesj-1198	159	35	:	:	PUNCT
cuesj-1198	159	36	optimizing	optimize	VERB
cuesj-1198	159	37	health	health	NOUN
cuesj-1198	159	38	pattern	pattern	NOUN
cuesj-1198	159	39	recognition	recognition	NOUN
cuesj-1198	159	40	pso	pso	NOUN
cuesj-1198	159	41	approach	approach	NOUN
cuesj-1198	159	42	82	82	NUM
cuesj-1198	159	43	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	159	44	cuesj	cuesj	NOUN
cuesj-1198	159	45	2024	2024	NUM
cuesj-1198	159	46	,	,	PUNCT
cuesj-1198	159	47	8	8	NUM
cuesj-1198	159	48	(	(	PUNCT
cuesj-1198	159	49	2	2	NUM
cuesj-1198	159	50	):	):	PUNCT
cuesj-1198	159	51	76	76	NUM
cuesj-1198	159	52	-	-	SYM
cuesj-1198	159	53	83	83	NUM
cuesj-1198	159	54	this	this	DET
cuesj-1198	159	55	enhanced	enhance	VERB
cuesj-1198	159	56	precision	precision	NOUN
cuesj-1198	159	57	in	in	ADP
cuesj-1198	159	58	predicting	predict	VERB
cuesj-1198	159	59	health	health	NOUN
cuesj-1198	159	60	outcomes	outcome	NOUN
cuesj-1198	159	61	is	be	AUX
cuesj-1198	159	62	invaluable	invaluable	ADJ
cuesj-1198	159	63	for	for	ADP
cuesj-1198	159	64	proactive	proactive	ADJ
cuesj-1198	159	65	health	health	NOUN
cuesj-1198	159	66	management	management	NOUN
cuesj-1198	159	67	.	.	PUNCT
cuesj-1198	160	1	it	it	PRON
cuesj-1198	160	2	allows	allow	VERB
cuesj-1198	160	3	for	for	ADP
cuesj-1198	160	4	early	early	ADJ
cuesj-1198	160	5	identification	identification	NOUN
cuesj-1198	160	6	of	of	ADP
cuesj-1198	160	7	potential	potential	ADJ
cuesj-1198	160	8	health	health	NOUN
cuesj-1198	160	9	risks	risk	NOUN
cuesj-1198	160	10	within	within	ADP
cuesj-1198	160	11	specific	specific	ADJ
cuesj-1198	160	12	clusters	cluster	NOUN
cuesj-1198	160	13	,	,	PUNCT
cuesj-1198	160	14	enabling	enable	VERB
cuesj-1198	160	15	timely	timely	ADJ
cuesj-1198	160	16	interventions	intervention	NOUN
cuesj-1198	160	17	and	and	CCONJ
cuesj-1198	160	18	preventive	preventive	ADJ
cuesj-1198	160	19	measures	measure	NOUN
cuesj-1198	160	20	.	.	PUNCT
cuesj-1198	161	1	methodological	methodological	ADJ
cuesj-1198	161	2	contributions	contribution	NOUN
cuesj-1198	161	3	the	the	DET
cuesj-1198	161	4	combination	combination	NOUN
cuesj-1198	161	5	of	of	ADP
cuesj-1198	161	6	fcm	fcm	X
cuesj-1198	161	7	clustering	clustering	NOUN
cuesj-1198	161	8	and	and	CCONJ
cuesj-1198	161	9	pso	pso	NOUN
cuesj-1198	161	10	optimization	optimization	NOUN
cuesj-1198	161	11	contributes	contribute	VERB
cuesj-1198	161	12	methodologically	methodologically	ADV
cuesj-1198	161	13	to	to	ADP
cuesj-1198	161	14	the	the	DET
cuesj-1198	161	15	fields	field	NOUN
cuesj-1198	161	16	of	of	ADP
cuesj-1198	161	17	data	datum	NOUN
cuesj-1198	161	18	science	science	NOUN
cuesj-1198	161	19	and	and	CCONJ
cuesj-1198	161	20	machine	machine	NOUN
cuesj-1198	161	21	learning	learning	NOUN
cuesj-1198	161	22	.	.	PUNCT
cuesj-1198	162	1	the	the	DET
cuesj-1198	162	2	synergy	synergy	NOUN
cuesj-1198	162	3	between	between	ADP
cuesj-1198	162	4	unsupervised	unsupervised	ADJ
cuesj-1198	162	5	clustering	clustering	NOUN
cuesj-1198	162	6	and	and	CCONJ
cuesj-1198	162	7	optimization	optimization	NOUN
cuesj-1198	162	8	techniques	technique	NOUN
cuesj-1198	162	9	offers	offer	VERB
cuesj-1198	162	10	a	a	DET
cuesj-1198	162	11	comprehensive	comprehensive	ADJ
cuesj-1198	162	12	approach	approach	NOUN
cuesj-1198	162	13	to	to	ADP
cuesj-1198	162	14	analyzing	analyze	VERB
cuesj-1198	162	15	complex	complex	ADJ
cuesj-1198	162	16	health	health	NOUN
cuesj-1198	162	17	datasets	dataset	NOUN
cuesj-1198	162	18	.	.	PUNCT
cuesj-1198	163	1	this	this	DET
cuesj-1198	163	2	methodology	methodology	NOUN
cuesj-1198	163	3	can	can	AUX
cuesj-1198	163	4	be	be	AUX
cuesj-1198	163	5	adapted	adapt	VERB
cuesj-1198	163	6	and	and	CCONJ
cuesj-1198	163	7	extended	extend	VERB
cuesj-1198	163	8	to	to	ADP
cuesj-1198	163	9	various	various	ADJ
cuesj-1198	163	10	domains	domain	NOUN
cuesj-1198	163	11	,	,	PUNCT
cuesj-1198	163	12	fostering	foster	VERB
cuesj-1198	163	13	advancements	advancement	NOUN
cuesj-1198	163	14	in	in	ADP
cuesj-1198	163	15	both	both	DET
cuesj-1198	163	16	research	research	NOUN
cuesj-1198	163	17	and	and	CCONJ
cuesj-1198	163	18	practical	practical	ADJ
cuesj-1198	163	19	applications	application	NOUN
cuesj-1198	163	20	.	.	PUNCT
cuesj-1198	164	1	informed	inform	VERB
cuesj-1198	164	2	decision	decision	NOUN
cuesj-1198	164	3	-	-	PUNCT
cuesj-1198	164	4	making	making	NOUN
cuesj-1198	164	5	in	in	ADP
cuesj-1198	164	6	public	public	ADJ
cuesj-1198	164	7	health	health	NOUN
cuesj-1198	164	8	the	the	DET
cuesj-1198	164	9	insights	insight	NOUN
cuesj-1198	164	10	gained	gain	VERB
cuesj-1198	164	11	from	from	ADP
cuesj-1198	164	12	this	this	DET
cuesj-1198	164	13	research	research	NOUN
cuesj-1198	164	14	provide	provide	VERB
cuesj-1198	164	15	a	a	DET
cuesj-1198	164	16	foundation	foundation	NOUN
cuesj-1198	164	17	for	for	ADP
cuesj-1198	164	18	informed	informed	ADJ
cuesj-1198	164	19	decision	decision	NOUN
cuesj-1198	164	20	-	-	PUNCT
cuesj-1198	164	21	making	making	NOUN
cuesj-1198	164	22	in	in	ADP
cuesj-1198	164	23	public	public	ADJ
cuesj-1198	164	24	health	health	NOUN
cuesj-1198	164	25	.	.	PUNCT
cuesj-1198	165	1	by	by	ADP
cuesj-1198	165	2	understanding	understand	VERB
cuesj-1198	165	3	the	the	DET
cuesj-1198	165	4	diverse	diverse	ADJ
cuesj-1198	165	5	health	health	NOUN
cuesj-1198	165	6	profiles	profile	NOUN
cuesj-1198	165	7	within	within	ADP
cuesj-1198	165	8	a	a	DET
cuesj-1198	165	9	population	population	NOUN
cuesj-1198	165	10	,	,	PUNCT
cuesj-1198	165	11	policymakers	policymaker	NOUN
cuesj-1198	165	12	can	can	AUX
cuesj-1198	165	13	tailor	tailor	VERB
cuesj-1198	165	14	interventions	intervention	NOUN
cuesj-1198	165	15	,	,	PUNCT
cuesj-1198	165	16	allocate	allocate	ADJ
cuesj-1198	165	17	resources	resource	NOUN
cuesj-1198	165	18	efficiently	efficiently	ADV
cuesj-1198	165	19	,	,	PUNCT
cuesj-1198	165	20	and	and	CCONJ
cuesj-1198	165	21	implement	implement	VERB
cuesj-1198	165	22	targeted	target	VERB
cuesj-1198	165	23	health	health	NOUN
cuesj-1198	165	24	campaigns	campaign	NOUN
cuesj-1198	165	25	.	.	PUNCT
cuesj-1198	166	1	this	this	PRON
cuesj-1198	166	2	contributes	contribute	VERB
cuesj-1198	166	3	to	to	ADP
cuesj-1198	166	4	the	the	DET
cuesj-1198	166	5	overarching	overarching	ADJ
cuesj-1198	166	6	goal	goal	NOUN
cuesj-1198	166	7	of	of	ADP
cuesj-1198	166	8	improving	improve	VERB
cuesj-1198	166	9	public	public	ADJ
cuesj-1198	166	10	health	health	NOUN
cuesj-1198	166	11	outcomes	outcome	NOUN
cuesj-1198	166	12	and	and	CCONJ
cuesj-1198	166	13	reducing	reduce	VERB
cuesj-1198	166	14	health	health	NOUN
cuesj-1198	166	15	disparities	disparity	NOUN
cuesj-1198	166	16	.	.	PUNCT
cuesj-1198	167	1	empowering	empower	VERB
cuesj-1198	167	2	health	health	NOUN
cuesj-1198	167	3	-	-	PUNCT
cuesj-1198	167	4	care	care	NOUN
cuesj-1198	167	5	professionals	professional	NOUN
cuesj-1198	167	6	health	health	NOUN
cuesj-1198	167	7	-	-	PUNCT
cuesj-1198	167	8	care	care	NOUN
cuesj-1198	167	9	professionals	professional	NOUN
cuesj-1198	167	10	can	can	AUX
cuesj-1198	167	11	leverage	leverage	VERB
cuesj-1198	167	12	the	the	DET
cuesj-1198	167	13	precision	precision	NOUN
cuesj-1198	167	14	in	in	ADP
cuesj-1198	167	15	health	health	NOUN
cuesj-1198	167	16	profiling	profiling	NOUN
cuesj-1198	167	17	to	to	PART
cuesj-1198	167	18	enhance	enhance	VERB
cuesj-1198	167	19	patient	patient	ADJ
cuesj-1198	167	20	care	care	NOUN
cuesj-1198	167	21	.	.	PUNCT
cuesj-1198	168	1	the	the	DET
cuesj-1198	168	2	detailed	detailed	ADJ
cuesj-1198	168	3	understanding	understanding	NOUN
cuesj-1198	168	4	of	of	ADP
cuesj-1198	168	5	health	health	NOUN
cuesj-1198	168	6	clusters	cluster	NOUN
cuesj-1198	168	7	allows	allow	VERB
cuesj-1198	168	8	for	for	ADP
cuesj-1198	168	9	personalized	personalized	ADJ
cuesj-1198	168	10	treatment	treatment	NOUN
cuesj-1198	168	11	plans	plan	NOUN
cuesj-1198	168	12	and	and	CCONJ
cuesj-1198	168	13	interventions	intervention	NOUN
cuesj-1198	168	14	,	,	PUNCT
cuesj-1198	168	15	leading	lead	VERB
cuesj-1198	168	16	to	to	ADP
cuesj-1198	168	17	more	more	ADV
cuesj-1198	168	18	effective	effective	ADJ
cuesj-1198	168	19	healthcare	healthcare	NOUN
cuesj-1198	168	20	delivery	delivery	NOUN
cuesj-1198	168	21	.	.	PUNCT
cuesj-1198	169	1	this	this	DET
cuesj-1198	169	2	empowerment	empowerment	NOUN
cuesj-1198	169	3	of	of	ADP
cuesj-1198	169	4	health	health	NOUN
cuesj-1198	169	5	-	-	PUNCT
cuesj-1198	169	6	care	care	NOUN
cuesj-1198	169	7	professionals	professional	NOUN
cuesj-1198	169	8	aligns	align	VERB
cuesj-1198	169	9	with	with	ADP
cuesj-1198	169	10	the	the	DET
cuesj-1198	169	11	paradigm	paradigm	NOUN
cuesj-1198	169	12	shift	shift	NOUN
cuesj-1198	169	13	toward	toward	ADP
cuesj-1198	169	14	patient	patient	NOUN
cuesj-1198	169	15	-	-	PUNCT
cuesj-1198	169	16	centric	centric	ADJ
cuesj-1198	169	17	and	and	CCONJ
cuesj-1198	169	18	data	data	NOUN
cuesj-1198	169	19	-	-	PUNCT
cuesj-1198	169	20	driven	drive	VERB
cuesj-1198	169	21	healthcare	healthcare	NOUN
cuesj-1198	169	22	practices	practice	NOUN
cuesj-1198	169	23	.	.	PUNCT
cuesj-1198	170	1	advancements	advancement	NOUN
cuesj-1198	170	2	in	in	ADP
cuesj-1198	170	3	machine	machine	NOUN
cuesj-1198	170	4	learning	learning	NOUN
cuesj-1198	170	5	for	for	ADP
cuesj-1198	170	6	health	health	NOUN
cuesj-1198	170	7	the	the	DET
cuesj-1198	170	8	application	application	NOUN
cuesj-1198	170	9	of	of	ADP
cuesj-1198	170	10	fcm	fcm	PROPN
cuesj-1198	170	11	clustering	clustering	NOUN
cuesj-1198	170	12	and	and	CCONJ
cuesj-1198	170	13	pso	pso	NOUN
cuesj-1198	170	14	optimization	optimization	NOUN
cuesj-1198	170	15	to	to	ADP
cuesj-1198	170	16	health	health	NOUN
cuesj-1198	170	17	data	datum	NOUN
cuesj-1198	170	18	represents	represent	VERB
cuesj-1198	170	19	a	a	DET
cuesj-1198	170	20	significant	significant	ADJ
cuesj-1198	170	21	advancement	advancement	NOUN
cuesj-1198	170	22	in	in	ADP
cuesj-1198	170	23	the	the	DET
cuesj-1198	170	24	intersection	intersection	NOUN
cuesj-1198	170	25	of	of	ADP
cuesj-1198	170	26	machine	machine	NOUN
cuesj-1198	170	27	learning	learning	NOUN
cuesj-1198	170	28	and	and	CCONJ
cuesj-1198	170	29	public	public	ADJ
cuesj-1198	170	30	health	health	NOUN
cuesj-1198	170	31	.	.	PUNCT
cuesj-1198	171	1	the	the	DET
cuesj-1198	171	2	developed	develop	VERB
cuesj-1198	171	3	methodology	methodology	NOUN
cuesj-1198	171	4	provides	provide	VERB
cuesj-1198	171	5	a	a	DET
cuesj-1198	171	6	template	template	NOUN
cuesj-1198	171	7	for	for	ADP
cuesj-1198	171	8	leveraging	leverage	VERB
cuesj-1198	171	9	machine	machine	NOUN
cuesj-1198	171	10	learning	learn	VERB
cuesj-1198	171	11	techniques	technique	NOUN
cuesj-1198	171	12	to	to	PART
cuesj-1198	171	13	uncover	uncover	VERB
cuesj-1198	171	14	hidden	hidden	ADJ
cuesj-1198	171	15	patterns	pattern	NOUN
cuesj-1198	171	16	in	in	ADP
cuesj-1198	171	17	health	health	NOUN
cuesj-1198	171	18	-	-	PUNCT
cuesj-1198	171	19	related	relate	VERB
cuesj-1198	171	20	datasets	dataset	NOUN
cuesj-1198	171	21	.	.	PUNCT
cuesj-1198	172	1	the	the	DET
cuesj-1198	172	2	adaptable	adaptable	ADJ
cuesj-1198	172	3	nature	nature	NOUN
cuesj-1198	172	4	of	of	ADP
cuesj-1198	172	5	the	the	DET
cuesj-1198	172	6	approach	approach	NOUN
cuesj-1198	172	7	opens	open	VERB
cuesj-1198	172	8	avenues	avenue	NOUN
cuesj-1198	172	9	for	for	ADP
cuesj-1198	172	10	its	its	PRON
cuesj-1198	172	11	application	application	NOUN
cuesj-1198	172	12	in	in	ADP
cuesj-1198	172	13	diverse	diverse	ADJ
cuesj-1198	172	14	health	health	NOUN
cuesj-1198	172	15	research	research	NOUN
cuesj-1198	172	16	endeavors	endeavor	NOUN
cuesj-1198	172	17	.	.	PUNCT
cuesj-1198	173	1	future	future	ADJ
cuesj-1198	173	2	works	work	NOUN
cuesj-1198	173	3	while	while	SCONJ
cuesj-1198	173	4	our	our	PRON
cuesj-1198	173	5	current	current	ADJ
cuesj-1198	173	6	research	research	NOUN
cuesj-1198	173	7	provides	provide	VERB
cuesj-1198	173	8	valuable	valuable	ADJ
cuesj-1198	173	9	insights	insight	NOUN
cuesj-1198	173	10	into	into	ADP
cuesj-1198	173	11	health	health	NOUN
cuesj-1198	173	12	clustering	clustering	NOUN
cuesj-1198	173	13	and	and	CCONJ
cuesj-1198	173	14	optimization	optimization	NOUN
cuesj-1198	173	15	techniques	technique	NOUN
cuesj-1198	173	16	,	,	PUNCT
cuesj-1198	173	17	there	there	PRON
cuesj-1198	173	18	remain	remain	VERB
cuesj-1198	173	19	promising	promise	VERB
cuesj-1198	173	20	avenues	avenue	NOUN
cuesj-1198	173	21	for	for	ADP
cuesj-1198	173	22	future	future	ADJ
cuesj-1198	173	23	exploration	exploration	NOUN
cuesj-1198	173	24	:	:	PUNCT
cuesj-1198	173	25	enhanced	enhance	VERB
cuesj-1198	173	26	feature	feature	NOUN
cuesj-1198	173	27	engineering	engineering	NOUN
cuesj-1198	173	28	explore	explore	VERB
cuesj-1198	173	29	additional	additional	ADJ
cuesj-1198	173	30	health	health	NOUN
cuesj-1198	173	31	indicators	indicator	NOUN
cuesj-1198	173	32	and	and	CCONJ
cuesj-1198	173	33	demographic	demographic	ADJ
cuesj-1198	173	34	features	feature	NOUN
cuesj-1198	173	35	to	to	PART
cuesj-1198	173	36	broaden	broaden	VERB
cuesj-1198	173	37	the	the	DET
cuesj-1198	173	38	scope	scope	NOUN
cuesj-1198	173	39	of	of	ADP
cuesj-1198	173	40	the	the	DET
cuesj-1198	173	41	analysis	analysis	NOUN
cuesj-1198	173	42	.	.	PUNCT
cuesj-1198	174	1	the	the	DET
cuesj-1198	174	2	inclusion	inclusion	NOUN
cuesj-1198	174	3	of	of	ADP
cuesj-1198	174	4	more	more	ADV
cuesj-1198	174	5	diverse	diverse	ADJ
cuesj-1198	174	6	variables	variable	NOUN
cuesj-1198	174	7	may	may	AUX
cuesj-1198	174	8	contribute	contribute	VERB
cuesj-1198	174	9	to	to	ADP
cuesj-1198	174	10	a	a	DET
cuesj-1198	174	11	more	more	ADV
cuesj-1198	174	12	comprehensive	comprehensive	ADJ
cuesj-1198	174	13	understanding	understanding	NOUN
cuesj-1198	174	14	of	of	ADP
cuesj-1198	174	15	health	health	NOUN
cuesj-1198	174	16	patterns	pattern	NOUN
cuesj-1198	174	17	.	.	PUNCT
cuesj-1198	175	1	dynamic	dynamic	ADJ
cuesj-1198	175	2	clustering	clustering	NOUN
cuesj-1198	175	3	techniques	technique	NOUN
cuesj-1198	175	4	investigate	investigate	VERB
cuesj-1198	175	5	dynamic	dynamic	ADJ
cuesj-1198	175	6	clustering	clustering	NOUN
cuesj-1198	175	7	techniques	technique	NOUN
cuesj-1198	175	8	that	that	PRON
cuesj-1198	175	9	adapt	adapt	VERB
cuesj-1198	175	10	to	to	ADP
cuesj-1198	175	11	changes	change	NOUN
cuesj-1198	175	12	in	in	ADP
cuesj-1198	175	13	the	the	DET
cuesj-1198	175	14	dataset	dataset	NOUN
cuesj-1198	175	15	over	over	ADP
cuesj-1198	175	16	time	time	NOUN
cuesj-1198	175	17	.	.	PUNCT
cuesj-1198	176	1	this	this	PRON
cuesj-1198	176	2	is	be	AUX
cuesj-1198	176	3	particularly	particularly	ADV
cuesj-1198	176	4	relevant	relevant	ADJ
cuesj-1198	176	5	in	in	ADP
cuesj-1198	176	6	health	health	NOUN
cuesj-1198	176	7	-	-	PUNCT
cuesj-1198	176	8	related	relate	VERB
cuesj-1198	176	9	studies	study	NOUN
cuesj-1198	176	10	,	,	PUNCT
cuesj-1198	176	11	where	where	SCONJ
cuesj-1198	176	12	trends	trend	NOUN
cuesj-1198	176	13	and	and	CCONJ
cuesj-1198	176	14	behaviors	behavior	NOUN
cuesj-1198	176	15	may	may	AUX
cuesj-1198	176	16	evolve	evolve	VERB
cuesj-1198	176	17	.	.	PUNCT
cuesj-1198	177	1	interpretability	interpretability	NOUN
cuesj-1198	177	2	of	of	ADP
cuesj-1198	177	3	clusters	cluster	NOUN
cuesj-1198	177	4	further	further	ADJ
cuesj-1198	177	5	research	research	NOUN
cuesj-1198	177	6	into	into	ADP
cuesj-1198	177	7	the	the	DET
cuesj-1198	177	8	interpretability	interpretability	NOUN
cuesj-1198	177	9	of	of	ADP
cuesj-1198	177	10	the	the	DET
cuesj-1198	177	11	identified	identify	VERB
cuesj-1198	177	12	clusters	cluster	NOUN
cuesj-1198	177	13	is	be	AUX
cuesj-1198	177	14	essential	essential	ADJ
cuesj-1198	177	15	.	.	PUNCT
cuesj-1198	178	1	understanding	understand	VERB
cuesj-1198	178	2	the	the	DET
cuesj-1198	178	3	characteristics	characteristic	NOUN
cuesj-1198	178	4	and	and	CCONJ
cuesj-1198	178	5	health	health	NOUN
cuesj-1198	178	6	implications	implication	NOUN
cuesj-1198	178	7	of	of	ADP
cuesj-1198	178	8	each	each	DET
cuesj-1198	178	9	cluster	cluster	NOUN
cuesj-1198	178	10	can	can	AUX
cuesj-1198	178	11	inform	inform	VERB
cuesj-1198	178	12	targeted	targeted	ADJ
cuesj-1198	178	13	interventions	intervention	NOUN
cuesj-1198	178	14	.	.	PUNCT
cuesj-1198	179	1	references	reference	NOUN
cuesj-1198	179	2	1	1	NUM
cuesj-1198	179	3	.	.	PUNCT
cuesj-1198	179	4	s.	s.	PROPN
cuesj-1198	179	5	mistry	mistry	PROPN
cuesj-1198	179	6	,	,	PUNCT
cuesj-1198	179	7	l.	l.	PROPN
cuesj-1198	179	8	wang	wang	PROPN
cuesj-1198	179	9	,	,	PUNCT
cuesj-1198	179	10	y.	y.	PROPN
cuesj-1198	179	11	islam	islam	PROPN
cuesj-1198	179	12	and	and	CCONJ
cuesj-1198	179	13	f.	f.	PROPN
cuesj-1198	179	14	a.	a.	PROPN
cuesj-1198	179	15	j.	j.	PROPN
cuesj-1198	179	16	osei	osei	PROPN
cuesj-1198	179	17	.	.	PUNCT
cuesj-1198	180	1	a	a	DET
cuesj-1198	180	2	comprehensive	comprehensive	ADJ
cuesj-1198	180	3	study	study	NOUN
cuesj-1198	180	4	on	on	ADP
cuesj-1198	180	5	healthcare	healthcare	NOUN
cuesj-1198	180	6	datasets	dataset	NOUN
cuesj-1198	180	7	using	use	VERB
cuesj-1198	180	8	ai	ai	VERB
cuesj-1198	180	9	techniques	technique	NOUN
cuesj-1198	180	10	.	.	PUNCT
cuesj-1198	181	1	cancers	cancer	NOUN
cuesj-1198	181	2	(	(	PUNCT
cuesj-1198	181	3	basel	basel	PROPN
cuesj-1198	181	4	)	)	PUNCT
cuesj-1198	181	5	,	,	PUNCT
cuesj-1198	181	6	vol	vol	NOUN
cuesj-1198	181	7	.	.	PROPN
cuesj-1198	181	8	11	11	NUM
cuesj-1198	181	9	,	,	PUNCT
cuesj-1198	181	10	p.	p.	NOUN
cuesj-1198	181	11	3146	3146	NUM
cuesj-1198	181	12	,	,	PUNCT
cuesj-1198	181	13	2022	2022	NUM
cuesj-1198	181	14	.	.	PUNCT
cuesj-1198	182	1	2	2	NUM
cuesj-1198	182	2	.	.	X
cuesj-1198	182	3	s.	s.	PROPN
cuesj-1198	182	4	williams	williams	PROPN
cuesj-1198	182	5	,	,	PUNCT
cuesj-1198	182	6	h.	h.	PROPN
cuesj-1198	182	7	l.	l.	PROPN
cuesj-1198	182	8	horsfall	horsfall	PROPN
cuesj-1198	182	9	,	,	PUNCT
cuesj-1198	182	10	j.	j.	PROPN
cuesj-1198	182	11	p.	p.	PROPN
cuesj-1198	182	12	funnell	funnell	PROPN
cuesj-1198	182	13	,	,	PUNCT
cuesj-1198	182	14	j.	j.	PROPN
cuesj-1198	182	15	g.	g.	PROPN
cuesj-1198	182	16	hanrahan	hanrahan	PROPN
cuesj-1198	182	17	,	,	PUNCT
cuesj-1198	182	18	d.	d.	PROPN
cuesj-1198	182	19	z.	z.	PROPN
cuesj-1198	182	20	khan	khan	PROPN
cuesj-1198	182	21	,	,	PUNCT
cuesj-1198	182	22	w.	w.	PROPN
cuesj-1198	182	23	muirhead	muirhead	PROPN
cuesj-1198	182	24	,	,	PUNCT
cuesj-1198	182	25	d.	d.	PROPN
cuesj-1198	182	26	stoyanov	stoyanov	PROPN
cuesj-1198	182	27	and	and	CCONJ
cuesj-1198	182	28	h.	h.	PROPN
cuesj-1198	182	29	j.	j.	PROPN
cuesj-1198	182	30	marcus	marcus	PROPN
cuesj-1198	182	31	.	.	PUNCT
cuesj-1198	183	1	artificial	artificial	ADJ
cuesj-1198	183	2	intelligence	intelligence	NOUN
cuesj-1198	183	3	in	in	ADP
cuesj-1198	183	4	brain	brain	NOUN
cuesj-1198	183	5	tumor	tumor	NOUN
cuesj-1198	183	6	surgery	surgery	NOUN
cuesj-1198	183	7	-	-	PUNCT
cuesj-1198	183	8	an	an	DET
cuesj-1198	183	9	emerging	emerge	VERB
cuesj-1198	183	10	paradigm	paradigm	NOUN
cuesj-1198	183	11	.	.	PUNCT
cuesj-1198	184	1	cancers	cancer	NOUN
cuesj-1198	184	2	(	(	PUNCT
cuesj-1198	184	3	basel	basel	PROPN
cuesj-1198	184	4	)	)	PUNCT
cuesj-1198	184	5	,	,	PUNCT
cuesj-1198	184	6	vol	vol	NOUN
cuesj-1198	184	7	.	.	PROPN
cuesj-1198	184	8	13	13	NUM
cuesj-1198	184	9	,	,	PUNCT
cuesj-1198	184	10	p.	p.	NOUN
cuesj-1198	184	11	5010	5010	NUM
cuesj-1198	184	12	,	,	PUNCT
cuesj-1198	184	13	2021	2021	NUM
cuesj-1198	184	14	.	.	PUNCT
cuesj-1198	185	1	3	3	X
cuesj-1198	185	2	.	.	X
cuesj-1198	185	3	r.	r.	PROPN
cuesj-1198	185	4	mahesa	mahesa	PROPN
cuesj-1198	185	5	and	and	CCONJ
cuesj-1198	185	6	e.	e.	PROPN
cuesj-1198	185	7	p.	p.	PROPN
cuesj-1198	185	8	wibowo	wibowo	PROPN
cuesj-1198	185	9	.	.	PUNCT
cuesj-1198	186	1	optimization	optimization	NOUN
cuesj-1198	186	2	of	of	ADP
cuesj-1198	186	3	fuzzy	fuzzy	ADJ
cuesj-1198	186	4	c	c	NOUN
cuesj-1198	186	5	-	-	PUNCT
cuesj-1198	186	6	means	means	NOUN
cuesj-1198	186	7	clustering	clustering	NOUN
cuesj-1198	186	8	using	use	VERB
cuesj-1198	186	9	particle	particle	NOUN
cuesj-1198	186	10	swarm	swarm	NOUN
cuesj-1198	186	11	optimization	optimization	NOUN
cuesj-1198	186	12	in	in	ADP
cuesj-1198	186	13	brain	brain	NOUN
cuesj-1198	186	14	tumor	tumor	NOUN
cuesj-1198	186	15	image	image	NOUN
cuesj-1198	186	16	segmentation	segmentation	NOUN
cuesj-1198	186	17	.	.	PUNCT
cuesj-1198	187	1	journal	journal	NOUN
cuesj-1198	187	2	of	of	ADP
cuesj-1198	187	3	theoretical	theoretical	ADJ
cuesj-1198	187	4	and	and	CCONJ
cuesj-1198	187	5	applied	apply	VERB
cuesj-1198	187	6	information	information	NOUN
cuesj-1198	187	7	technology	technology	NOUN
cuesj-1198	187	8	,	,	PUNCT
cuesj-1198	187	9	vol	vol	NOUN
cuesj-1198	187	10	.	.	PROPN
cuesj-1198	187	11	98	98	NUM
cuesj-1198	187	12	,	,	PUNCT
cuesj-1198	187	13	pp	pp	ADJ
cuesj-1198	187	14	.	.	PUNCT
cuesj-1198	188	1	3056	3056	NUM
cuesj-1198	188	2	-	-	SYM
cuesj-1198	188	3	3066	3066	NUM
cuesj-1198	188	4	,	,	PUNCT
cuesj-1198	188	5	2020	2020	NUM
cuesj-1198	188	6	.	.	PUNCT
cuesj-1198	189	1	4	4	X
cuesj-1198	189	2	.	.	X
cuesj-1198	189	3	a.	a.	PROPN
cuesj-1198	189	4	pandey	pandey	PROPN
cuesj-1198	189	5	,	,	PUNCT
cuesj-1198	189	6	r.	r.	PROPN
cuesj-1198	189	7	gupta	gupta	PROPN
cuesj-1198	189	8	and	and	CCONJ
cuesj-1198	189	9	r.	r.	PROPN
cuesj-1198	189	10	dubey	dubey	PROPN
cuesj-1198	189	11	.	.	PUNCT
cuesj-1198	190	1	improved	improve	VERB
cuesj-1198	190	2	brain	brain	NOUN
cuesj-1198	190	3	tumor	tumor	NOUN
cuesj-1198	190	4	detection	detection	NOUN
cuesj-1198	190	5	using	use	VERB
cuesj-1198	190	6	fuzzy	fuzzy	ADJ
cuesj-1198	190	7	rules	rule	NOUN
cuesj-1198	190	8	with	with	ADP
cuesj-1198	190	9	image	image	NOUN
cuesj-1198	190	10	filtering	filter	VERB
cuesj-1198	190	11	for	for	ADP
cuesj-1198	190	12	tumor	tumor	NOUN
cuesj-1198	190	13	identification	identification	NOUN
cuesj-1198	190	14	.	.	PUNCT
cuesj-1198	191	1	international	international	ADJ
cuesj-1198	191	2	research	research	PROPN
cuesj-1198	191	3	journal	journal	NOUN
cuesj-1198	191	4	of	of	ADP
cuesj-1198	191	5	engineering	engineering	NOUN
cuesj-1198	191	6	and	and	CCONJ
cuesj-1198	191	7	technology	technology	NOUN
cuesj-1198	191	8	(	(	PUNCT
cuesj-1198	191	9	irjet	irjet	NOUN
cuesj-1198	191	10	)	)	PUNCT
cuesj-1198	191	11	,	,	PUNCT
cuesj-1198	191	12	vol	vol	NOUN
cuesj-1198	191	13	.	.	PROPN
cuesj-1198	192	1	9	9	NUM
cuesj-1198	192	2	,	,	PUNCT
cuesj-1198	192	3	no	no	INTJ
cuesj-1198	192	4	.	.	NOUN
cuesj-1198	192	5	5	5	NUM
cuesj-1198	192	6	,	,	PUNCT
cuesj-1198	192	7	pp	pp	ADJ
cuesj-1198	192	8	.	.	PUNCT
cuesj-1198	193	1	202	202	NUM
cuesj-1198	193	2	-	-	SYM
cuesj-1198	193	3	207	207	NUM
cuesj-1198	193	4	,	,	PUNCT
cuesj-1198	193	5	2018	2018	NUM
cuesj-1198	193	6	.	.	PUNCT
cuesj-1198	194	1	5	5	NUM
cuesj-1198	194	2	.	.	X
cuesj-1198	194	3	r.	r.	PROPN
cuesj-1198	194	4	siringoringo	siringoringo	PROPN
cuesj-1198	194	5	and	and	CCONJ
cuesj-1198	194	6	j.	j.	PROPN
cuesj-1198	194	7	jamaluddin	jamaluddin	PROPN
cuesj-1198	194	8	.	.	PUNCT
cuesj-1198	195	1	initializing	initialize	VERB
cuesj-1198	195	2	the	the	DET
cuesj-1198	195	3	fuzzy	fuzzy	ADJ
cuesj-1198	195	4	c	c	NOUN
cuesj-1198	195	5	-	-	PUNCT
cuesj-1198	195	6	means	means	NOUN
cuesj-1198	195	7	cluster	cluster	NOUN
cuesj-1198	195	8	center	center	NOUN
cuesj-1198	195	9	with	with	ADP
cuesj-1198	195	10	particle	particle	NOUN
cuesj-1198	195	11	swarm	swarm	NOUN
cuesj-1198	195	12	optimization	optimization	NOUN
cuesj-1198	195	13	for	for	ADP
cuesj-1198	195	14	sentiment	sentiment	NOUN
cuesj-1198	195	15	clustering	cluster	VERB
cuesj-1198	195	16	.	.	PUNCT
cuesj-1198	196	1	journal	journal	PROPN
cuesj-1198	196	2	of	of	ADP
cuesj-1198	196	3	physics	physics	PROPN
cuesj-1198	196	4	:	:	PUNCT
cuesj-1198	196	5	conference	conference	NOUN
cuesj-1198	196	6	series	series	NOUN
cuesj-1198	196	7	,	,	PUNCT
cuesj-1198	196	8	vol	vol	NOUN
cuesj-1198	196	9	.	.	PROPN
cuesj-1198	196	10	1361	1361	NUM
cuesj-1198	196	11	,	,	PUNCT
cuesj-1198	196	12	012002	012002	NUM
cuesj-1198	196	13	,	,	PUNCT
cuesj-1198	196	14	2018	2018	NUM
cuesj-1198	196	15	.	.	PUNCT
cuesj-1198	197	1	6	6	NUM
cuesj-1198	197	2	.	.	X
cuesj-1198	197	3	american	american	ADJ
cuesj-1198	197	4	cancer	cancer	NOUN
cuesj-1198	197	5	society	society	PROPN
cuesj-1198	197	6	.	.	PUNCT
cuesj-1198	198	1	brain	brain	NOUN
cuesj-1198	198	2	and	and	CCONJ
cuesj-1198	198	3	spinal	spinal	ADJ
cuesj-1198	198	4	cord	cord	NOUN
cuesj-1198	198	5	tumor	tumor	NOUN
cuesj-1198	198	6	in	in	ADP
cuesj-1198	198	7	adults	adult	NOUN
cuesj-1198	198	8	early	early	ADJ
cuesj-1198	198	9	detection	detection	NOUN
cuesj-1198	198	10	,	,	PUNCT
cuesj-1198	198	11	diagnosis	diagnosis	NOUN
cuesj-1198	198	12	,	,	PUNCT
cuesj-1198	198	13	and	and	CCONJ
cuesj-1198	198	14	staging	staging	NOUN
cuesj-1198	198	15	.	.	PUNCT
cuesj-1198	199	1	cancer	cancer	NOUN
cuesj-1198	199	2	.	.	PUNCT
cuesj-1198	200	1	org|1.800.227.2345	org|1.800.227.2345	PROPN
cuesj-1198	200	2	.	.	PUNCT
cuesj-1198	201	1	available	available	ADJ
cuesj-1198	201	2	from	from	ADP
cuesj-1198	201	3	:	:	PUNCT
cuesj-1198	201	4	https://www.cancer	https://www.cancer	PROPN
cuesj-1198	201	5	.	.	PUNCT
cuesj-1198	202	1	org	org	ADJ
cuesj-1198	202	2	/	/	SYM
cuesj-1198	202	3	cancer	cancer	NOUN
cuesj-1198	202	4	/	/	SYM
cuesj-1198	202	5	types	type	NOUN
cuesj-1198	202	6	/	/	SYM
cuesj-1198	202	7	brain	brain	NOUN
cuesj-1198	202	8	-	-	PUNCT
cuesj-1198	202	9	spinal	spinal	NOUN
cuesj-1198	202	10	-	-	PUNCT
cuesj-1198	202	11	cord	cord	NOUN
cuesj-1198	202	12	-	-	PUNCT
cuesj-1198	202	13	tumors	tumor	NOUN
cuesj-1198	202	14	-	-	PUNCT
cuesj-1198	202	15	adults	adult	NOUN
cuesj-1198	202	16	/	/	SYM
cuesj-1198	202	17	causesrisksprevention	causesrisksprevention	NOUN
cuesj-1198	202	18	/	/	SYM
cuesj-1198	202	19	risk	risk	NOUN
cuesj-1198	202	20	-	-	PUNCT
cuesj-1198	202	21	factors.html	factors.html	PROPN
cuesj-1198	202	22	7	7	NUM
cuesj-1198	202	23	.	.	PUNCT
cuesj-1198	203	1	s.	s.	PROPN
cuesj-1198	203	2	roy	roy	PROPN
cuesj-1198	203	3	,	,	PUNCT
cuesj-1198	203	4	s.	s.	PROPN
cuesj-1198	203	5	sadhu	sadhu	PROPN
cuesj-1198	203	6	,	,	PUNCT
cuesj-1198	203	7	s.	s.	PROPN
cuesj-1198	203	8	k.	k.	PROPN
cuesj-1198	203	9	bandyopadhyay	bandyopadhyay	PROPN
cuesj-1198	203	10	,	,	PUNCT
cuesj-1198	203	11	d.	d.	PROPN
cuesj-1198	203	12	bhattacharyya	bhattacharyya	PROPN
cuesj-1198	203	13	and	and	CCONJ
cuesj-1198	203	14	t.	t.	PROPN
cuesj-1198	203	15	h.	h.	PROPN
cuesj-1198	203	16	kim	kim	PROPN
cuesj-1198	203	17	.	.	PUNCT
cuesj-1198	204	1	brain	brain	PROPN
cuesj-1198	204	2	tumor	tumor	NOUN
cuesj-1198	204	3	classification	classification	NOUN
cuesj-1198	204	4	using	use	VERB
cuesj-1198	204	5	adaptive	adaptive	ADJ
cuesj-1198	204	6	neurofuzzy	neurofuzzy	ADJ
cuesj-1198	204	7	inference	inference	NOUN
cuesj-1198	204	8	system	system	NOUN
cuesj-1198	204	9	from	from	ADP
cuesj-1198	204	10	mri	mri	PROPN
cuesj-1198	204	11	.	.	PUNCT
cuesj-1198	205	1	international	international	ADJ
cuesj-1198	205	2	journal	journal	PROPN
cuesj-1198	205	3	of	of	ADP
cuesj-1198	205	4	bioscience	bioscience	PROPN
cuesj-1198	205	5	and	and	CCONJ
cuesj-1198	205	6	bio	bio	NOUN
cuesj-1198	205	7	-	-	NOUN
cuesj-1198	205	8	technology	technology	NOUN
cuesj-1198	205	9	,	,	PUNCT
cuesj-1198	205	10	vol	vol	NOUN
cuesj-1198	205	11	.	.	PROPN
cuesj-1198	206	1	3	3	NUM
cuesj-1198	206	2	,	,	PUNCT
cuesj-1198	206	3	pp	pp	ADJ
cuesj-1198	206	4	.	.	PUNCT
cuesj-1198	207	1	203	203	NUM
cuesj-1198	207	2	-	-	SYM
cuesj-1198	207	3	218	218	NUM
cuesj-1198	207	4	,	,	PUNCT
cuesj-1198	207	5	2021	2021	NUM
cuesj-1198	207	6	.	.	PUNCT
cuesj-1198	208	1	8	8	NUM
cuesj-1198	208	2	.	.	PUNCT
cuesj-1198	208	3	a.	a.	PROPN
cuesj-1198	208	4	e.	e.	PROPN
cuesj-1198	208	5	francis	francis	PROPN
cuesj-1198	208	6	.	.	PROPN
cuesj-1198	208	7	time	time	PROPN
cuesj-1198	208	8	processing	processing	NOUN
cuesj-1198	208	9	of	of	ADP
cuesj-1198	208	10	brain	brain	NOUN
cuesj-1198	208	11	’s	’s	PART
cuesj-1198	208	12	electrical	electrical	ADJ
cuesj-1198	208	13	signals	signal	NOUN
cuesj-1198	208	14	using	use	VERB
cuesj-1198	208	15	normalized	normalize	VERB
cuesj-1198	208	16	constant	constant	ADJ
cuesj-1198	208	17	-	-	PUNCT
cuesj-1198	208	18	correlation	correlation	NOUN
cuesj-1198	208	19	function	function	NOUN
cuesj-1198	208	20	to	to	PART
cuesj-1198	208	21	diagnose	diagnose	VERB
cuesj-1198	208	22	brain	brain	NOUN
cuesj-1198	208	23	lesions	lesion	NOUN
cuesj-1198	208	24	.	.	PUNCT
cuesj-1198	209	1	in	in	ADP
cuesj-1198	209	2	:	:	PUNCT
cuesj-1198	209	3	cihan	cihan	VERB
cuesj-1198	209	4	university	university	NOUN
cuesj-1198	209	5	-	-	PUNCT
cuesj-1198	209	6	erbil	erbil	PROPN
cuesj-1198	209	7	conferences	conference	NOUN
cuesj-1198	209	8	,	,	PUNCT
cuesj-1198	209	9	3rd	3rd	ADJ
cuesj-1198	209	10	international	international	ADJ
cuesj-1198	209	11	conference	conference	NOUN
cuesj-1198	209	12	on	on	ADP
cuesj-1198	209	13	communication	communication	NOUN
cuesj-1198	209	14	engineering	engineering	NOUN
cuesj-1198	209	15	and	and	CCONJ
cuesj-1198	209	16	computer	computer	NOUN
cuesj-1198	209	17	science	science	NOUN
cuesj-1198	209	18	(	(	PUNCT
cuesj-1198	209	19	cic	cic	PROPN
cuesj-1198	209	20	-	-	PUNCT
cuesj-1198	209	21	cocos’19	cocos’19	PROPN
cuesj-1198	209	22	)	)	PUNCT
cuesj-1198	209	23	,	,	PUNCT
cuesj-1198	209	24	2019	2019	NUM
cuesj-1198	209	25	.	.	PUNCT
cuesj-1198	210	1	9	9	NUM
cuesj-1198	210	2	.	.	X
cuesj-1198	210	3	s.	s.	PROPN
cuesj-1198	210	4	n.	n.	PROPN
cuesj-1198	210	5	nerurkar	nerurkar	PROPN
cuesj-1198	210	6	.	.	PUNCT
cuesj-1198	211	1	brain	brain	NOUN
cuesj-1198	211	2	tumor	tumor	NOUN
cuesj-1198	211	3	detection	detection	NOUN
cuesj-1198	211	4	using	use	VERB
cuesj-1198	211	5	image	image	NOUN
cuesj-1198	211	6	segmentation	segmentation	NOUN
cuesj-1198	211	7	.	.	PUNCT
cuesj-1198	212	1	international	international	ADJ
cuesj-1198	212	2	journal	journal	PROPN
cuesj-1198	212	3	of	of	ADP
cuesj-1198	212	4	engineering	engineering	NOUN
cuesj-1198	212	5	research	research	NOUN
cuesj-1198	212	6	in	in	ADP
cuesj-1198	212	7	computer	computer	NOUN
cuesj-1198	212	8	science	science	NOUN
cuesj-1198	212	9	and	and	CCONJ
cuesj-1198	212	10	engineering	engineering	NOUN
cuesj-1198	212	11	(	(	PUNCT
cuesj-1198	212	12	ijercse	ijercse	NOUN
cuesj-1198	212	13	)	)	PUNCT
cuesj-1198	212	14	,	,	PUNCT
cuesj-1198	212	15	vol	vol	NOUN
cuesj-1198	212	16	.	.	PROPN
cuesj-1198	212	17	4	4	NUM
cuesj-1198	212	18	,	,	PUNCT
cuesj-1198	212	19	no	no	INTJ
cuesj-1198	212	20	.	.	NOUN
cuesj-1198	212	21	4	4	NUM
cuesj-1198	212	22	,	,	PUNCT
cuesj-1198	212	23	pp	pp	ADJ
cuesj-1198	212	24	.	.	PUNCT
cuesj-1198	213	1	64	64	NUM
cuesj-1198	213	2	-	-	SYM
cuesj-1198	213	3	70	70	NUM
cuesj-1198	213	4	,	,	PUNCT
cuesj-1198	213	5	2017	2017	NUM
cuesj-1198	213	6	.	.	PUNCT
cuesj-1198	214	1	10	10	NUM
cuesj-1198	214	2	.	.	PUNCT
cuesj-1198	214	3	q.	q.	PROPN
cuesj-1198	214	4	wu	wu	PROPN
cuesj-1198	214	5	,	,	PUNCT
cuesj-1198	214	6	p.	p.	PROPN
cuesj-1198	214	7	li	li	PROPN
cuesj-1198	214	8	,	,	PUNCT
cuesj-1198	214	9	z.	z.	PROPN
cuesj-1198	214	10	chen	chen	PROPN
cuesj-1198	214	11	and	and	CCONJ
cuesj-1198	214	12	t.	t.	PROPN
cuesj-1198	214	13	zong	zong	PROPN
cuesj-1198	214	14	.	.	PUNCT
cuesj-1198	215	1	a	a	DET
cuesj-1198	215	2	clustering	clustering	ADJ
cuesj-1198	215	3	-	-	PUNCT
cuesj-1198	215	4	optimized	optimize	VERB
cuesj-1198	215	5	segmentation	segmentation	NOUN
cuesj-1198	215	6	algorithm	algorithm	NOUN
cuesj-1198	215	7	and	and	CCONJ
cuesj-1198	215	8	application	application	NOUN
cuesj-1198	215	9	on	on	ADP
cuesj-1198	215	10	food	food	NOUN
cuesj-1198	215	11	quality	quality	NOUN
cuesj-1198	215	12	detection	detection	NOUN
cuesj-1198	215	13	.	.	PUNCT
cuesj-1198	216	1	scientific	scientific	ADJ
cuesj-1198	216	2	reports	report	NOUN
cuesj-1198	216	3	,	,	PUNCT
cuesj-1198	216	4	13	13	NUM
cuesj-1198	216	5	,	,	PUNCT
cuesj-1198	216	6	p.	p.	NOUN
cuesj-1198	216	7	9069	9069	NUM
cuesj-1198	216	8	,	,	PUNCT
cuesj-1198	216	9	2023	2023	NUM
cuesj-1198	216	10	.	.	PUNCT
cuesj-1198	217	1	11	11	NUM
cuesj-1198	217	2	.	.	PUNCT
cuesj-1198	217	3	m.	m.	NOUN
cuesj-1198	217	4	assaad	assaad	PROPN
cuesj-1198	217	5	,	,	PUNCT
cuesj-1198	217	6	r.	r.	NOUN
cuesj-1198	217	7	boné	boné	PROPN
cuesj-1198	217	8	and	and	CCONJ
cuesj-1198	217	9	h.	h.	NOUN
cuesj-1198	217	10	cardot	cardot	NOUN
cuesj-1198	217	11	.	.	PUNCT
cuesj-1198	218	1	a	a	DET
cuesj-1198	218	2	new	new	ADJ
cuesj-1198	218	3	boosting	boost	VERB
cuesj-1198	218	4	algorithm	algorithm	NOUN
cuesj-1198	218	5	for	for	ADP
cuesj-1198	218	6	improved	improved	ADJ
cuesj-1198	218	7	time	time	NOUN
cuesj-1198	218	8	-	-	PUNCT
cuesj-1198	218	9	series	series	NOUN
cuesj-1198	218	10	forecasting	forecasting	NOUN
cuesj-1198	218	11	with	with	ADP
cuesj-1198	218	12	recurrent	recurrent	ADJ
cuesj-1198	218	13	neural	neural	ADJ
cuesj-1198	218	14	networks	network	NOUN
cuesj-1198	218	15	.	.	PUNCT
cuesj-1198	219	1	information	information	NOUN
cuesj-1198	219	2	fusion	fusion	NOUN
cuesj-1198	219	3	,	,	PUNCT
cuesj-1198	219	4	vol	vol	NOUN
cuesj-1198	219	5	.	.	NOUN
cuesj-1198	219	6	9	9	NUM
cuesj-1198	219	7	,	,	PUNCT
cuesj-1198	219	8	pp	pp	ADJ
cuesj-1198	219	9	.	.	PUNCT
cuesj-1198	220	1	41	41	NUM
cuesj-1198	220	2	-	-	SYM
cuesj-1198	220	3	55	55	NUM
cuesj-1198	220	4	,	,	PUNCT
cuesj-1198	220	5	2008	2008	NUM
cuesj-1198	220	6	.	.	PUNCT
cuesj-1198	221	1	12	12	NUM
cuesj-1198	221	2	.	.	PUNCT
cuesj-1198	222	1	m.	m.	PROPN
cuesj-1198	222	2	xu	xu	PROPN
cuesj-1198	222	3	,	,	PUNCT
cuesj-1198	222	4	l.	l.	PROPN
cuesj-1198	222	5	cao	cao	PROPN
cuesj-1198	222	6	,	,	PUNCT
cuesj-1198	222	7	d.	d.	PROPN
cuesj-1198	222	8	lu	lu	PROPN
cuesj-1198	222	9	,	,	PUNCT
cuesj-1198	222	10	z.	z.	PROPN
cuesj-1198	222	11	hu	hu	PROPN
cuesj-1198	222	12	and	and	CCONJ
cuesj-1198	222	13	y.	y.	PROPN
cuesj-1198	222	14	yue	yue	PROPN
cuesj-1198	222	15	.	.	PUNCT
cuesj-1198	223	1	application	application	NOUN
cuesj-1198	223	2	of	of	ADP
cuesj-1198	223	3	swarm	swarm	NOUN
cuesj-1198	223	4	intelligence	intelligence	NOUN
cuesj-1198	223	5	optimization	optimization	NOUN
cuesj-1198	223	6	algorithms	algorithm	NOUN
cuesj-1198	223	7	in	in	ADP
cuesj-1198	223	8	image	image	NOUN
cuesj-1198	223	9	processing	processing	NOUN
cuesj-1198	223	10	:	:	PUNCT
cuesj-1198	223	11	a	a	DET
cuesj-1198	223	12	comprehensive	comprehensive	ADJ
cuesj-1198	223	13	review	review	NOUN
cuesj-1198	223	14	of	of	ADP
cuesj-1198	223	15	analysis	analysis	NOUN
cuesj-1198	223	16	,	,	PUNCT
cuesj-1198	223	17	synthesis	synthesis	NOUN
cuesj-1198	223	18	,	,	PUNCT
cuesj-1198	223	19	and	and	CCONJ
cuesj-1198	223	20	optimization	optimization	NOUN
cuesj-1198	223	21	.	.	PUNCT
cuesj-1198	224	1	biomimetics	biomimetic	NOUN
cuesj-1198	224	2	,	,	PUNCT
cuesj-1198	224	3	vol	vol	NOUN
cuesj-1198	224	4	.	.	PROPN
cuesj-1198	224	5	8	8	NUM
cuesj-1198	224	6	,	,	PUNCT
cuesj-1198	224	7	p.	p.	NOUN
cuesj-1198	224	8	235	235	NUM
cuesj-1198	224	9	,	,	PUNCT
cuesj-1198	224	10	2023	2023	NUM
cuesj-1198	224	11	.	.	PUNCT
cuesj-1198	225	1	13	13	NUM
cuesj-1198	225	2	.	.	PUNCT
cuesj-1198	225	3	z.	z.	PROPN
cuesj-1198	225	4	xiao	xiao	PROPN
cuesj-1198	225	5	,	,	PUNCT
cuesj-1198	225	6	r.	r.	PROPN
cuesj-1198	225	7	huang	huang	PROPN
cuesj-1198	225	8	,	,	PUNCT
cuesj-1198	225	9	y.	y.	PROPN
cuesj-1198	225	10	ding	ding	PROPN
cuesj-1198	225	11	,	,	PUNCT
cuesj-1198	225	12	t.	t.	PROPN
cuesj-1198	225	13	lan	lan	PROPN
cuesj-1198	225	14	,	,	PUNCT
cuesj-1198	225	15	r.	r.	PROPN
cuesj-1198	225	16	dong	dong	PROPN
cuesj-1198	225	17	,	,	PUNCT
cuesj-1198	225	18	z.	z.	PROPN
cuesj-1198	225	19	qin	qin	PROPN
cuesj-1198	225	20	,	,	PUNCT
cuesj-1198	225	21	x.	x.	PROPN
cuesj-1198	225	22	zhang	zhang	PROPN
cuesj-1198	225	23	and	and	CCONJ
cuesj-1198	225	24	w.	w.	PROPN
cuesj-1198	225	25	wang	wang	PROPN
cuesj-1198	225	26	.	.	PUNCT
cuesj-1198	226	1	a	a	DET
cuesj-1198	226	2	deep	deep	ADJ
cuesj-1198	226	3	learning	learning	NOUN
cuesj-1198	226	4	-	-	PUNCT
cuesj-1198	226	5	based	base	VERB
cuesj-1198	226	6	segmentation	segmentation	NOUN
cuesj-1198	226	7	method	method	NOUN
cuesj-1198	226	8	for	for	ADP
cuesj-1198	226	9	assaad	assaad	NOUN
cuesj-1198	226	10	and	and	CCONJ
cuesj-1198	226	11	shakah	shakah	PROPN
cuesj-1198	226	12	:	:	PUNCT
cuesj-1198	226	13	optimizing	optimize	VERB
cuesj-1198	226	14	health	health	NOUN
cuesj-1198	226	15	pattern	pattern	NOUN
cuesj-1198	226	16	recognition	recognition	NOUN
cuesj-1198	226	17	pso	pso	NOUN
cuesj-1198	226	18	approach	approach	NOUN
cuesj-1198	226	19	83	83	NUM
cuesj-1198	226	20	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1198	226	21	cuesj	cuesj	ADJ
cuesj-1198	226	22	2024	2024	NUM
cuesj-1198	226	23	,	,	PUNCT
cuesj-1198	226	24	8	8	NUM
cuesj-1198	226	25	(	(	PUNCT
cuesj-1198	226	26	2	2	NUM
cuesj-1198	226	27	):	):	PUNCT
cuesj-1198	226	28	76	76	NUM
cuesj-1198	226	29	-	-	SYM
cuesj-1198	226	30	83	83	NUM
cuesj-1198	226	31	brain	brain	NOUN
cuesj-1198	226	32	tumor	tumor	NOUN
cuesj-1198	226	33	in	in	ADP
cuesj-1198	226	34	mr	mr	PROPN
cuesj-1198	226	35	images	image	NOUN
cuesj-1198	226	36	.	.	PUNCT
cuesj-1198	227	1	in	in	ADP
cuesj-1198	227	2	:	:	PUNCT
cuesj-1198	227	3	ieee	ieee	PROPN
cuesj-1198	227	4	6th	6th	ADJ
cuesj-1198	227	5	international	international	ADJ
cuesj-1198	227	6	conference	conference	NOUN
cuesj-1198	227	7	on	on	ADP
cuesj-1198	227	8	computational	computational	ADJ
cuesj-1198	227	9	advances	advance	NOUN
cuesj-1198	227	10	in	in	ADP
cuesj-1198	227	11	bio	bio	NOUN
cuesj-1198	227	12	and	and	CCONJ
cuesj-1198	227	13	medical	medical	ADJ
cuesj-1198	227	14	sciences	science	NOUN
cuesj-1198	227	15	(	(	PUNCT
cuesj-1198	227	16	iccabs	iccab	NOUN
cuesj-1198	227	17	)	)	PUNCT
cuesj-1198	227	18	,	,	PUNCT
cuesj-1198	227	19	2016	2016	NUM
cuesj-1198	227	20	.	.	PUNCT
cuesj-1198	228	1	14	14	NUM
cuesj-1198	228	2	.	.	PUNCT
cuesj-1198	228	3	r.	r.	PROPN
cuesj-1198	228	4	sharmila	sharmila	PROPN
cuesj-1198	228	5	and	and	CCONJ
cuesj-1198	228	6	k.	k.	PROPN
cuesj-1198	228	7	s.	s.	PROPN
cuesj-1198	228	8	joseph	joseph	PROPN
cuesj-1198	228	9	.	.	PUNCT
cuesj-1198	229	1	brain	brain	PROPN
cuesj-1198	229	2	tumor	tumor	NOUN
cuesj-1198	229	3	detection	detection	NOUN
cuesj-1198	229	4	of	of	ADP
cuesj-1198	229	5	mr	mr	PROPN
cuesj-1198	229	6	image	image	NOUN
cuesj-1198	229	7	using	use	VERB
cuesj-1198	229	8	naïve	naïve	ADJ
cuesj-1198	229	9	bayes	bayes	NOUN
cuesj-1198	229	10	classifier	classifier	NOUN
cuesj-1198	229	11	and	and	CCONJ
cuesj-1198	229	12	support	support	VERB
cuesj-1198	229	13	vector	vector	NOUN
cuesj-1198	229	14	machine	machine	NOUN
cuesj-1198	229	15	.	.	PUNCT
cuesj-1198	230	1	international	international	ADJ
cuesj-1198	230	2	journal	journal	PROPN
cuesj-1198	230	3	of	of	ADP
cuesj-1198	230	4	scientific	scientific	ADJ
cuesj-1198	230	5	research	research	NOUN
cuesj-1198	230	6	in	in	ADP
cuesj-1198	230	7	computer	computer	NOUN
cuesj-1198	230	8	science	science	NOUN
cuesj-1198	230	9	,	,	PUNCT
cuesj-1198	230	10	engineering	engineering	NOUN
cuesj-1198	230	11	and	and	CCONJ
cuesj-1198	230	12	information	information	NOUN
cuesj-1198	230	13	technology	technology	NOUN
cuesj-1198	230	14	,	,	PUNCT
cuesj-1198	230	15	vol	vol	NOUN
cuesj-1198	230	16	.	.	PROPN
cuesj-1198	231	1	3	3	NUM
cuesj-1198	231	2	,	,	PUNCT
cuesj-1198	231	3	no	no	INTJ
cuesj-1198	231	4	.	.	NOUN
cuesj-1198	231	5	3	3	NUM
cuesj-1198	231	6	,	,	PUNCT
cuesj-1198	231	7	pp	pp	ADJ
cuesj-1198	231	8	.	.	PUNCT
cuesj-1198	232	1	690695	690695	NUM
cuesj-1198	232	2	,	,	PUNCT
cuesj-1198	232	3	2018	2018	NUM
cuesj-1198	232	4	.	.	PUNCT
cuesj-1198	233	1	15	15	NUM
cuesj-1198	233	2	.	.	PUNCT
cuesj-1198	234	1	j.n	j.n	PROPN
cuesj-1198	234	2	.	.	PROPN
cuesj-1198	234	3	wright	wright	PROPN
cuesj-1198	234	4	.	.	PUNCT
cuesj-1198	235	1	cns	cns	PROPN
cuesj-1198	235	2	injuries	injury	NOUN
cuesj-1198	235	3	in	in	ADP
cuesj-1198	235	4	abusive	abusive	ADJ
cuesj-1198	235	5	head	head	NOUN
cuesj-1198	235	6	trauma	trauma	NOUN
cuesj-1198	235	7	.	.	PUNCT
cuesj-1198	236	1	american	american	ADJ
cuesj-1198	236	2	journal	journal	PROPN
cuesj-1198	236	3	of	of	ADP
cuesj-1198	236	4	roentgenology	roentgenology	NOUN
cuesj-1198	236	5	,	,	PUNCT
cuesj-1198	236	6	vol	vol	NOUN
cuesj-1198	236	7	.	.	PROPN
cuesj-1198	236	8	208	208	NUM
cuesj-1198	236	9	,	,	PUNCT
cuesj-1198	236	10	pp	pp	ADJ
cuesj-1198	236	11	.	.	PUNCT
cuesj-1198	237	1	991	991	NUM
cuesj-1198	237	2	-	-	SYM
cuesj-1198	237	3	1001	1001	NUM
cuesj-1198	237	4	,	,	PUNCT
cuesj-1198	237	5	2017	2017	NUM
cuesj-1198	237	6	.	.	PUNCT