id	sid	tid	token	lemma	pos
easat-6182	1	1	edelweiss	edelweiss	PROPN
easat-6182	1	2	applied	apply	VERB
easat-6182	1	3	science	science	NOUN
easat-6182	1	4	and	and	CCONJ
easat-6182	1	5	technology	technology	NOUN
easat-6182	1	6	issn	issn	PROPN
easat-6182	1	7	:	:	PUNCT
easat-6182	1	8	2576	2576	NUM
easat-6182	1	9	-	-	SYM
easat-6182	1	10	8484	8484	NUM
easat-6182	1	11	vol	vol	NOUN
easat-6182	1	12	.	.	PROPN
easat-6182	2	1	9	9	NUM
easat-6182	2	2	,	,	PUNCT
easat-6182	2	3	no	no	INTJ
easat-6182	2	4	.	.	NOUN
easat-6182	2	5	4	4	NUM
easat-6182	2	6	,	,	PUNCT
easat-6182	2	7	1101	1101	NUM
easat-6182	2	8	-	-	PUNCT
easat-6182	2	9	1109	1109	NUM
easat-6182	2	10	2025	2025	NUM
easat-6182	2	11	publisher	publisher	NOUN
easat-6182	2	12	:	:	PUNCT
easat-6182	2	13	learning	learn	VERB
easat-6182	2	14	gate	gate	NOUN
easat-6182	2	15	doi	doi	PROPN
easat-6182	2	16	:	:	PUNCT
easat-6182	2	17	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	2	18	©	©	PROPN
easat-6182	2	19	2025	2025	NUM
easat-6182	2	20	by	by	ADP
easat-6182	2	21	the	the	DET
easat-6182	2	22	authors	author	NOUN
easat-6182	2	23	;	;	PUNCT
easat-6182	2	24	licensee	licensee	PROPN
easat-6182	2	25	learning	learning	NOUN
easat-6182	2	26	gate	gate	NOUN
easat-6182	3	1	©	©	PROPN
easat-6182	3	2	2025	2025	NUM
easat-6182	3	3	by	by	ADP
easat-6182	3	4	the	the	DET
easat-6182	3	5	authors	author	NOUN
easat-6182	3	6	;	;	PUNCT
easat-6182	3	7	licensee	licensee	PROPN
easat-6182	3	8	learning	learning	NOUN
easat-6182	3	9	gate	gate	NOUN
easat-6182	3	10	history	history	NOUN
easat-6182	3	11	:	:	PUNCT
easat-6182	3	12	received	receive	VERB
easat-6182	3	13	:	:	PUNCT
easat-6182	3	14	12	12	NUM
easat-6182	3	15	february	february	NOUN
easat-6182	3	16	2025	2025	NUM
easat-6182	3	17	;	;	PUNCT
easat-6182	3	18	revised	revise	VERB
easat-6182	3	19	:	:	PUNCT
easat-6182	3	20	28	28	NUM
easat-6182	3	21	march	march	NOUN
easat-6182	3	22	2025	2025	NUM
easat-6182	3	23	;	;	PUNCT
easat-6182	3	24	accepted	accept	VERB
easat-6182	3	25	:	:	PUNCT
easat-6182	3	26	2	2	NUM
easat-6182	3	27	april	april	PROPN
easat-6182	3	28	2025	2025	NUM
easat-6182	3	29	;	;	PUNCT
easat-6182	3	30	published	publish	VERB
easat-6182	3	31	:	:	PUNCT
easat-6182	4	1	12	12	NUM
easat-6182	4	2	april	april	PROPN
easat-6182	4	3	2025	2025	NUM
easat-6182	4	4	*	*	PUNCT
easat-6182	4	5	correspondence	correspondence	NOUN
easat-6182	4	6	:	:	PUNCT
easat-6182	4	7	rehamabdul.ahmed@gmail.com	rehamabdul.ahmed@gmail.com	X
easat-6182	4	8	fuzzy	fuzzy	ADJ
easat-6182	4	9	logic	logic	NOUN
easat-6182	4	10	and	and	CCONJ
easat-6182	4	11	linear	linear	ADJ
easat-6182	4	12	regression	regression	NOUN
easat-6182	4	13	modelling	modelling	NOUN
easat-6182	4	14	in	in	ADP
easat-6182	4	15	breast	breast	NOUN
easat-6182	4	16	cancer	cancer	NOUN
easat-6182	4	17	detection	detection	NOUN
easat-6182	4	18	:	:	PUNCT
easat-6182	4	19	a	a	DET
easat-6182	4	20	review	review	NOUN
easat-6182	4	21	reham	reham	NOUN
easat-6182	4	22	a.	a.	NOUN
easat-6182	4	23	ahmed1	ahmed1	PROPN
easat-6182	4	24	*	*	PROPN
easat-6182	4	25	,	,	PUNCT
easat-6182	4	26	muhammad	muhammad	PROPN
easat-6182	4	27	ammar	ammar	PROPN
easat-6182	4	28	shafi1	shafi1	PROPN
easat-6182	4	29	,	,	PUNCT
easat-6182	4	30	nor	nor	CCONJ
easat-6182	4	31	faezan	faezan	PROPN
easat-6182	4	32	abdul	abdul	PROPN
easat-6182	4	33	rashid2	rashid2	PROPN
easat-6182	4	34	,	,	PUNCT
easat-6182	4	35	suraya	suraya	PROPN
easat-6182	4	36	othman2	othman2	PROPN
easat-6182	4	37	,	,	PUNCT
easat-6182	4	38	rozin	rozin	PROPN
easat-6182	4	39	badeel3	badeel3	PROPN
easat-6182	4	40	,	,	PUNCT
easat-6182	4	41	banan	banan	NOUN
easat-6182	4	42	badeel	badeel	NOUN
easat-6182	4	43	abdal4	abdal4	PROPN
easat-6182	5	1	1department	1department	NUM
easat-6182	5	2	of	of	ADP
easat-6182	5	3	technology	technology	NOUN
easat-6182	5	4	and	and	CCONJ
easat-6182	5	5	management	management	NOUN
easat-6182	5	6	,	,	PUNCT
easat-6182	5	7	faculty	faculty	NOUN
easat-6182	5	8	of	of	ADP
easat-6182	5	9	technology	technology	NOUN
easat-6182	5	10	management	management	NOUN
easat-6182	5	11	and	and	CCONJ
easat-6182	5	12	business	business	NOUN
easat-6182	5	13	,	,	PUNCT
easat-6182	5	14	universiti	universiti	PROPN
easat-6182	5	15	tun	tun	PROPN
easat-6182	5	16	hussein	hussein	PROPN
easat-6182	5	17	onn	onn	PROPN
easat-6182	5	18	malaysia	malaysia	PROPN
easat-6182	5	19	,	,	PUNCT
easat-6182	5	20	86400	86400	NUM
easat-6182	5	21	,	,	PUNCT
easat-6182	5	22	batu	batu	PROPN
easat-6182	5	23	pahat	pahat	PROPN
easat-6182	5	24	,	,	PUNCT
easat-6182	5	25	johor	johor	PROPN
easat-6182	5	26	,	,	PUNCT
easat-6182	5	27	malaysia	malaysia	PROPN
easat-6182	5	28	;	;	PUNCT
easat-6182	5	29	rehamabdul.ahmed@gmail.com	rehamabdul.ahmed@gmail.com	X
easat-6182	5	30	(	(	PUNCT
easat-6182	5	31	r.a.a	r.a.a	PROPN
easat-6182	5	32	.	.	PUNCT
easat-6182	5	33	)	)	PUNCT
easat-6182	5	34	.	.	PUNCT
easat-6182	6	1	2surgery	2surgery	NUM
easat-6182	6	2	department	department	NOUN
easat-6182	6	3	,	,	PUNCT
easat-6182	6	4	hospital	hospital	PROPN
easat-6182	6	5	al	al	PROPN
easat-6182	6	6	-	-	PUNCT
easat-6182	6	7	sultan	sultan	PROPN
easat-6182	6	8	abdullah	abdullah	PROPN
easat-6182	6	9	,	,	PUNCT
easat-6182	6	10	universiti	universiti	PROPN
easat-6182	6	11	teknologi	teknologi	PROPN
easat-6182	6	12	mara	mara	PROPN
easat-6182	6	13	,	,	PUNCT
easat-6182	6	14	42300	42300	NUM
easat-6182	6	15	bandar	bandar	PROPN
easat-6182	6	16	puncak	puncak	PROPN
easat-6182	6	17	alam	alam	PROPN
easat-6182	6	18	,	,	PUNCT
easat-6182	6	19	selangor	selangor	PROPN
easat-6182	6	20	,	,	PUNCT
easat-6182	6	21	malaysia	malaysia	PROPN
easat-6182	6	22	.	.	PUNCT
easat-6182	7	1	3department	3department	NUM
easat-6182	7	2	of	of	ADP
easat-6182	7	3	communication	communication	NOUN
easat-6182	7	4	technology	technology	NOUN
easat-6182	7	5	and	and	CCONJ
easat-6182	7	6	network	network	NOUN
easat-6182	7	7	,	,	PUNCT
easat-6182	7	8	university	university	NOUN
easat-6182	7	9	putra	putra	PROPN
easat-6182	7	10	malaysia	malaysia	PROPN
easat-6182	7	11	(	(	PUNCT
easat-6182	7	12	upm	upm	PROPN
easat-6182	7	13	)	)	PUNCT
easat-6182	7	14	,	,	PUNCT
easat-6182	7	15	seri	seri	PROPN
easat-6182	7	16	kembangan	kembangan	PROPN
easat-6182	7	17	,	,	PUNCT
easat-6182	7	18	43300	43300	NUM
easat-6182	7	19	,	,	PUNCT
easat-6182	7	20	malaysia	malaysia	PROPN
easat-6182	7	21	.	.	PUNCT
easat-6182	8	1	4college	4college	NUM
easat-6182	8	2	of	of	ADP
easat-6182	8	3	administration	administration	NOUN
easat-6182	8	4	and	and	CCONJ
easat-6182	8	5	economics	economic	NOUN
easat-6182	8	6	,	,	PUNCT
easat-6182	8	7	university	university	NOUN
easat-6182	8	8	of	of	ADP
easat-6182	8	9	duhok	duhok	NOUN
easat-6182	8	10	,	,	PUNCT
easat-6182	8	11	duhok	duhok	PROPN
easat-6182	8	12	kurdistan	kurdistan	PROPN
easat-6182	8	13	region	region	NOUN
easat-6182	8	14	-iraq	-iraq	PROPN
easat-6182	8	15	.	.	PUNCT
easat-6182	9	1	abstract	abstract	ADJ
easat-6182	9	2	:	:	PUNCT
easat-6182	9	3	the	the	DET
easat-6182	9	4	research	research	NOUN
easat-6182	9	5	investigates	investigate	VERB
easat-6182	9	6	the	the	DET
easat-6182	9	7	effectiveness	effectiveness	NOUN
easat-6182	9	8	of	of	ADP
easat-6182	9	9	breast	breast	NOUN
easat-6182	9	10	cancer	cancer	NOUN
easat-6182	9	11	detection	detection	NOUN
easat-6182	9	12	using	use	VERB
easat-6182	9	13	linear	linear	PROPN
easat-6182	9	14	regression	regression	NOUN
easat-6182	9	15	models	model	NOUN
easat-6182	9	16	and	and	CCONJ
easat-6182	9	17	fuzzy	fuzzy	ADJ
easat-6182	9	18	logic	logic	NOUN
easat-6182	9	19	approaches	approach	NOUN
easat-6182	9	20	,	,	PUNCT
easat-6182	9	21	together	together	ADV
easat-6182	9	22	with	with	ADP
easat-6182	9	23	an	an	DET
easat-6182	9	24	analysis	analysis	NOUN
easat-6182	9	25	of	of	ADP
easat-6182	9	26	their	their	PRON
easat-6182	9	27	medical	medical	ADJ
easat-6182	9	28	diagnostic	diagnostic	ADJ
easat-6182	9	29	applications	application	NOUN
easat-6182	9	30	and	and	CCONJ
easat-6182	9	31	their	their	PRON
easat-6182	9	32	associated	associated	ADJ
easat-6182	9	33	limitations	limitation	NOUN
easat-6182	9	34	.	.	PUNCT
easat-6182	10	1	the	the	DET
easat-6182	10	2	research	research	NOUN
easat-6182	10	3	evaluates	evaluate	VERB
easat-6182	10	4	performance	performance	NOUN
easat-6182	10	5	results	result	NOUN
easat-6182	10	6	by	by	ADP
easat-6182	10	7	analyzing	analyze	VERB
easat-6182	10	8	both	both	DET
easat-6182	10	9	methods	method	NOUN
easat-6182	10	10	through	through	ADP
easat-6182	10	11	a	a	DET
easat-6182	10	12	review	review	NOUN
easat-6182	10	13	of	of	ADP
easat-6182	10	14	current	current	ADJ
easat-6182	10	15	studies	study	NOUN
easat-6182	10	16	,	,	PUNCT
easat-6182	10	17	where	where	SCONJ
easat-6182	10	18	linear	linear	ADJ
easat-6182	10	19	regression	regression	NOUN
easat-6182	10	20	demonstrates	demonstrate	VERB
easat-6182	10	21	ease	ease	NOUN
easat-6182	10	22	of	of	ADP
easat-6182	10	23	interpretation	interpretation	NOUN
easat-6182	10	24	alongside	alongside	ADP
easat-6182	10	25	simplicity	simplicity	NOUN
easat-6182	10	26	,	,	PUNCT
easat-6182	10	27	but	but	CCONJ
easat-6182	10	28	fuzzy	fuzzy	ADJ
easat-6182	10	29	logic	logic	NOUN
easat-6182	10	30	shows	show	VERB
easat-6182	10	31	strength	strength	NOUN
easat-6182	10	32	in	in	ADP
easat-6182	10	33	dealing	deal	VERB
easat-6182	10	34	with	with	ADP
easat-6182	10	35	uncertainty	uncertainty	NOUN
easat-6182	10	36	along	along	ADP
easat-6182	10	37	with	with	ADP
easat-6182	10	38	nonlinear	nonlinear	ADJ
easat-6182	10	39	relationships	relationship	NOUN
easat-6182	10	40	.	.	PUNCT
easat-6182	11	1	the	the	DET
easat-6182	11	2	research	research	NOUN
easat-6182	11	3	shows	show	VERB
easat-6182	11	4	that	that	SCONJ
easat-6182	11	5	while	while	SCONJ
easat-6182	11	6	linear	linear	ADJ
easat-6182	11	7	regression	regression	NOUN
easat-6182	11	8	works	work	VERB
easat-6182	11	9	simply	simply	ADV
easat-6182	11	10	,	,	PUNCT
easat-6182	11	11	it	it	PRON
easat-6182	11	12	fails	fail	VERB
easat-6182	11	13	to	to	PART
easat-6182	11	14	handle	handle	VERB
easat-6182	11	15	the	the	DET
easat-6182	11	16	complexity	complexity	NOUN
easat-6182	11	17	of	of	ADP
easat-6182	11	18	medical	medical	ADJ
easat-6182	11	19	data	datum	NOUN
easat-6182	11	20	,	,	PUNCT
easat-6182	11	21	but	but	CCONJ
easat-6182	11	22	fuzzy	fuzzy	ADJ
easat-6182	11	23	logic	logic	NOUN
easat-6182	11	24	handles	handle	VERB
easat-6182	11	25	complex	complex	ADJ
easat-6182	11	26	medical	medical	ADJ
easat-6182	11	27	diagnosis	diagnosis	NOUN
easat-6182	11	28	settings	setting	NOUN
easat-6182	11	29	better	well	ADV
easat-6182	11	30	,	,	PUNCT
easat-6182	11	31	which	which	PRON
easat-6182	11	32	suggests	suggest	VERB
easat-6182	11	33	that	that	SCONJ
easat-6182	11	34	adding	add	VERB
easat-6182	11	35	fuzzy	fuzzy	ADJ
easat-6182	11	36	logic	logic	NOUN
easat-6182	11	37	features	feature	NOUN
easat-6182	11	38	to	to	PART
easat-6182	11	39	linear	linear	VERB
easat-6182	11	40	regression	regression	NOUN
easat-6182	11	41	can	can	AUX
easat-6182	11	42	boost	boost	VERB
easat-6182	11	43	diagnosis	diagnosis	NOUN
easat-6182	11	44	quality	quality	NOUN
easat-6182	11	45	.	.	PUNCT
easat-6182	12	1	the	the	DET
easat-6182	12	2	research	research	NOUN
easat-6182	12	3	finds	find	VERB
easat-6182	12	4	that	that	SCONJ
easat-6182	12	5	the	the	DET
easat-6182	12	6	hybrid	hybrid	NOUN
easat-6182	12	7	technique	technique	NOUN
easat-6182	12	8	involving	involve	VERB
easat-6182	12	9	fuzzy	fuzzy	ADJ
easat-6182	12	10	logic	logic	NOUN
easat-6182	12	11	and	and	CCONJ
easat-6182	12	12	linear	linear	ADJ
easat-6182	12	13	regression	regression	NOUN
easat-6182	12	14	may	may	AUX
easat-6182	12	15	increase	increase	VERB
easat-6182	12	16	the	the	DET
easat-6182	12	17	accuracy	accuracy	NOUN
easat-6182	12	18	of	of	ADP
easat-6182	12	19	breast	breast	NOUN
easat-6182	12	20	cancer	cancer	NOUN
easat-6182	12	21	detection	detection	NOUN
easat-6182	12	22	.	.	PUNCT
easat-6182	13	1	furthermore	furthermore	ADV
easat-6182	13	2	,	,	PUNCT
easat-6182	13	3	it	it	PRON
easat-6182	13	4	highlights	highlight	VERB
easat-6182	13	5	the	the	DET
easat-6182	13	6	requirement	requirement	NOUN
easat-6182	13	7	for	for	ADP
easat-6182	13	8	further	further	ADJ
easat-6182	13	9	investigation	investigation	NOUN
easat-6182	13	10	of	of	ADP
easat-6182	13	11	sophisticated	sophisticated	ADJ
easat-6182	13	12	artificial	artificial	ADJ
easat-6182	13	13	intelligence	intelligence	NOUN
easat-6182	13	14	strategies	strategy	NOUN
easat-6182	13	15	,	,	PUNCT
easat-6182	13	16	like	like	ADP
easat-6182	13	17	neural	neural	ADJ
easat-6182	13	18	networks	network	NOUN
easat-6182	13	19	,	,	PUNCT
easat-6182	13	20	for	for	ADP
easat-6182	13	21	addressing	address	VERB
easat-6182	13	22	the	the	DET
easat-6182	13	23	basic	basic	ADJ
easat-6182	13	24	techniques	technique	NOUN
easat-6182	13	25	’	'	PUNCT
easat-6182	13	26	limitations	limitation	NOUN
easat-6182	13	27	.	.	PUNCT
easat-6182	14	1	practical	practical	ADJ
easat-6182	14	2	implications	implication	NOUN
easat-6182	14	3	:	:	PUNCT
easat-6182	14	4	the	the	DET
easat-6182	14	5	study	study	NOUN
easat-6182	14	6	offers	offer	VERB
easat-6182	14	7	a	a	DET
easat-6182	14	8	useful	useful	ADJ
easat-6182	14	9	guide	guide	NOUN
easat-6182	14	10	to	to	ADP
easat-6182	14	11	medical	medical	ADJ
easat-6182	14	12	and	and	CCONJ
easat-6182	14	13	research	research	NOUN
easat-6182	14	14	professionals	professional	NOUN
easat-6182	14	15	,	,	PUNCT
easat-6182	14	16	indicating	indicate	VERB
easat-6182	14	17	that	that	SCONJ
easat-6182	14	18	beyond	beyond	ADP
easat-6182	14	19	the	the	DET
easat-6182	14	20	intriguing	intriguing	ADJ
easat-6182	14	21	integration	integration	NOUN
easat-6182	14	22	of	of	ADP
easat-6182	14	23	fuzzy	fuzzy	ADJ
easat-6182	14	24	logic	logic	NOUN
easat-6182	14	25	from	from	ADP
easat-6182	14	26	ai	ai	ADJ
easat-6182	14	27	capabilities	capability	NOUN
easat-6182	14	28	,	,	PUNCT
easat-6182	14	29	there	there	PRON
easat-6182	14	30	is	be	VERB
easat-6182	14	31	the	the	DET
easat-6182	14	32	potential	potential	NOUN
easat-6182	14	33	to	to	PART
easat-6182	14	34	improve	improve	VERB
easat-6182	14	35	diagnostic	diagnostic	ADJ
easat-6182	14	36	performance	performance	NOUN
easat-6182	14	37	in	in	ADP
easat-6182	14	38	a	a	DET
easat-6182	14	39	clinical	clinical	ADJ
easat-6182	14	40	setting	setting	NOUN
easat-6182	14	41	.	.	PUNCT
easat-6182	15	1	future	future	ADJ
easat-6182	15	2	developments	development	NOUN
easat-6182	15	3	in	in	ADP
easat-6182	15	4	computer	computer	NOUN
easat-6182	15	5	aidriven	aidriven	NOUN
easat-6182	15	6	models	model	NOUN
easat-6182	15	7	will	will	AUX
easat-6182	15	8	certainly	certainly	ADV
easat-6182	15	9	create	create	VERB
easat-6182	15	10	an	an	DET
easat-6182	15	11	even	even	ADV
easat-6182	15	12	better	well	ADJ
easat-6182	15	13	workflow	workflow	NOUN
easat-6182	15	14	for	for	ADP
easat-6182	15	15	breast	breast	NOUN
easat-6182	15	16	cancer	cancer	NOUN
easat-6182	15	17	examination	examination	NOUN
easat-6182	15	18	.	.	PUNCT
easat-6182	16	1	keywords	keyword	NOUN
easat-6182	16	2	:	:	PUNCT
easat-6182	16	3	artificial	artificial	ADJ
easat-6182	16	4	intelligence	intelligence	NOUN
easat-6182	16	5	,	,	PUNCT
easat-6182	16	6	cancer	cancer	NOUN
easat-6182	16	7	detection	detection	NOUN
easat-6182	16	8	,	,	PUNCT
easat-6182	16	9	fuzzy	fuzzy	ADJ
easat-6182	16	10	models	model	NOUN
easat-6182	16	11	,	,	PUNCT
easat-6182	16	12	integrated	integrated	ADJ
easat-6182	16	13	models	model	NOUN
easat-6182	16	14	,	,	PUNCT
easat-6182	16	15	linear	linear	ADJ
easat-6182	16	16	predictors	predictor	NOUN
easat-6182	16	17	,	,	PUNCT
easat-6182	16	18	medical	medical	ADJ
easat-6182	16	19	testing	testing	NOUN
easat-6182	16	20	.	.	PUNCT
easat-6182	17	1	1	1	X
easat-6182	17	2	.	.	X
easat-6182	17	3	introduction	introduction	NOUN
easat-6182	17	4	breast	breast	NOUN
easat-6182	17	5	cancer	cancer	NOUN
easat-6182	17	6	remains	remain	VERB
easat-6182	17	7	a	a	DET
easat-6182	17	8	public	public	ADJ
easat-6182	17	9	health	health	NOUN
easat-6182	17	10	problem	problem	NOUN
easat-6182	17	11	because	because	SCONJ
easat-6182	17	12	it	it	PRON
easat-6182	17	13	has	have	AUX
easat-6182	17	14	turned	turn	VERB
easat-6182	17	15	into	into	ADP
easat-6182	17	16	the	the	DET
easat-6182	17	17	most	most	ADV
easat-6182	17	18	frequent	frequent	ADJ
easat-6182	17	19	female	female	ADJ
easat-6182	17	20	cancer	cancer	NOUN
easat-6182	17	21	in	in	ADP
easat-6182	17	22	all	all	DET
easat-6182	17	23	the	the	DET
easat-6182	17	24	countries	country	NOUN
easat-6182	17	25	of	of	ADP
easat-6182	17	26	the	the	DET
easat-6182	17	27	world	world	NOUN
easat-6182	17	28	.	.	PUNCT
easat-6182	18	1	in	in	ADP
easat-6182	18	2	the	the	DET
easat-6182	18	3	case	case	NOUN
easat-6182	18	4	of	of	ADP
easat-6182	18	5	cancer	cancer	NOUN
easat-6182	18	6	,	,	PUNCT
easat-6182	18	7	there	there	PRON
easat-6182	18	8	must	must	AUX
easat-6182	18	9	be	be	AUX
easat-6182	18	10	an	an	DET
easat-6182	18	11	early	early	ADJ
easat-6182	18	12	detection	detection	NOUN
easat-6182	18	13	as	as	ADP
easat-6182	18	14	the	the	DET
easat-6182	18	15	probability	probability	NOUN
easat-6182	18	16	rate	rate	NOUN
easat-6182	18	17	of	of	ADP
easat-6182	18	18	survival	survival	NOUN
easat-6182	18	19	,	,	PUNCT
easat-6182	18	20	together	together	ADV
easat-6182	18	21	with	with	ADP
easat-6182	18	22	the	the	DET
easat-6182	18	23	effectiveness	effectiveness	NOUN
easat-6182	18	24	of	of	ADP
easat-6182	18	25	the	the	DET
easat-6182	18	26	treatment	treatment	NOUN
easat-6182	18	27	,	,	PUNCT
easat-6182	18	28	is	be	AUX
easat-6182	18	29	high	high	ADJ
easat-6182	18	30	.	.	PUNCT
easat-6182	19	1	in	in	ADP
easat-6182	19	2	health	health	NOUN
easat-6182	19	3	care	care	NOUN
easat-6182	19	4	,	,	PUNCT
easat-6182	19	5	advances	advance	NOUN
easat-6182	19	6	have	have	AUX
easat-6182	19	7	been	be	AUX
easat-6182	19	8	recorded	record	VERB
easat-6182	19	9	on	on	ADP
easat-6182	19	10	a	a	DET
easat-6182	19	11	breathtaking	breathtaking	ADJ
easat-6182	19	12	scale	scale	NOUN
easat-6182	19	13	,	,	PUNCT
easat-6182	19	14	further	far	ADV
easat-6182	19	15	scaled	scale	VERB
easat-6182	19	16	up	up	ADP
easat-6182	19	17	by	by	ADP
easat-6182	19	18	applying	apply	VERB
easat-6182	19	19	artificial	artificial	ADJ
easat-6182	19	20	intelligence	intelligence	NOUN
easat-6182	19	21	and	and	CCONJ
easat-6182	19	22	machine	machine	NOUN
easat-6182	19	23	learning	learn	VERB
easat-6182	19	24	in	in	ADP
easat-6182	19	25	diagnostics	diagnostic	NOUN
easat-6182	19	26	.	.	PUNCT
easat-6182	20	1	out	out	ADP
easat-6182	20	2	of	of	ADP
easat-6182	20	3	these	these	DET
easat-6182	20	4	techniques	technique	NOUN
easat-6182	20	5	,	,	PUNCT
easat-6182	20	6	it	it	PRON
easat-6182	20	7	is	be	AUX
easat-6182	20	8	prudent	prudent	ADJ
easat-6182	20	9	to	to	PART
easat-6182	20	10	examine	examine	VERB
easat-6182	20	11	fuzzy	fuzzy	ADJ
easat-6182	20	12	logic	logic	NOUN
easat-6182	20	13	and	and	CCONJ
easat-6182	20	14	linear	linear	ADJ
easat-6182	20	15	regression	regression	NOUN
easat-6182	20	16	modelling	modelling	NOUN
easat-6182	20	17	in	in	ADP
easat-6182	20	18	detail	detail	NOUN
easat-6182	20	19	due	due	ADP
easat-6182	20	20	to	to	ADP
easat-6182	20	21	the	the	DET
easat-6182	20	22	complicated	complicated	ADJ
easat-6182	20	23	and	and	CCONJ
easat-6182	20	24	uncertain	uncertain	ADJ
easat-6182	20	25	medical	medical	ADJ
easat-6182	20	26	data	datum	NOUN
easat-6182	20	27	.	.	PUNCT
easat-6182	21	1	this	this	DET
easat-6182	21	2	review	review	NOUN
easat-6182	21	3	discusses	discuss	VERB
easat-6182	21	4	how	how	SCONJ
easat-6182	21	5	these	these	DET
easat-6182	21	6	methods	method	NOUN
easat-6182	21	7	are	be	AUX
easat-6182	21	8	applied	apply	VERB
easat-6182	21	9	in	in	ADP
easat-6182	21	10	detecting	detect	VERB
easat-6182	21	11	breast	breast	NOUN
easat-6182	21	12	cancer	cancer	NOUN
easat-6182	21	13	,	,	PUNCT
easat-6182	21	14	emphasizing	emphasize	VERB
easat-6182	21	15	linear	linear	ADJ
easat-6182	21	16	regression	regression	NOUN
easat-6182	21	17	modelling	modelling	NOUN
easat-6182	21	18	accompanied	accompany	VERB
easat-6182	21	19	by	by	ADP
easat-6182	21	20	fuzzy	fuzzy	ADJ
easat-6182	21	21	logic	logic	NOUN
easat-6182	21	22	to	to	PART
easat-6182	21	23	enhance	enhance	VERB
easat-6182	21	24	performance	performance	NOUN
easat-6182	21	25	[	[	X
easat-6182	21	26	1	1	NUM
easat-6182	21	27	-	-	SYM
easat-6182	21	28	5	5	NUM
easat-6182	21	29	]	]	PUNCT
easat-6182	21	30	fuzzy	fuzzy	ADJ
easat-6182	21	31	logic	logic	NOUN
easat-6182	21	32	,	,	PUNCT
easat-6182	21	33	developed	develop	VERB
easat-6182	21	34	in	in	ADP
easat-6182	21	35	the	the	DET
easat-6182	21	36	1960s	1960	NOUN
easat-6182	21	37	,	,	PUNCT
easat-6182	21	38	is	be	AUX
easat-6182	21	39	essential	essential	ADJ
easat-6182	21	40	for	for	ADP
easat-6182	21	41	illness	illness	NOUN
easat-6182	21	42	diagnosis	diagnosis	NOUN
easat-6182	21	43	,	,	PUNCT
easat-6182	21	44	particularly	particularly	ADV
easat-6182	21	45	in	in	ADP
easat-6182	21	46	scenarios	scenario	NOUN
easat-6182	21	47	with	with	ADP
easat-6182	21	48	ambiguous	ambiguous	ADJ
easat-6182	21	49	or	or	CCONJ
easat-6182	21	50	insufficient	insufficient	ADJ
easat-6182	21	51	data	datum	NOUN
easat-6182	21	52	[	[	X
easat-6182	21	53	4	4	NUM
easat-6182	21	54	]	]	PUNCT
easat-6182	21	55	.	.	PUNCT
easat-6182	22	1	conversely	conversely	ADV
easat-6182	22	2	,	,	PUNCT
easat-6182	22	3	linear	linear	ADJ
easat-6182	22	4	regression	regression	NOUN
easat-6182	22	5	,	,	PUNCT
easat-6182	22	6	a	a	DET
easat-6182	22	7	recognized	recognize	VERB
easat-6182	22	8	statistical	statistical	ADJ
easat-6182	22	9	technique	technique	NOUN
easat-6182	22	10	,	,	PUNCT
easat-6182	22	11	seeks	seek	VERB
easat-6182	22	12	to	to	PART
easat-6182	22	13	forecast	forecast	VERB
easat-6182	22	14	outcomes	outcome	NOUN
easat-6182	22	15	by	by	ADP
easat-6182	22	16	modelling	model	VERB
easat-6182	22	17	the	the	DET
easat-6182	22	18	connection	connection	NOUN
easat-6182	22	19	among	among	ADP
easat-6182	22	20	variables	variable	NOUN
easat-6182	22	21	.	.	PUNCT
easat-6182	23	1	its	its	PRON
easat-6182	23	2	simplicity	simplicity	NOUN
easat-6182	23	3	and	and	CCONJ
easat-6182	23	4	interpretability	interpretability	NOUN
easat-6182	23	5	have	have	AUX
easat-6182	23	6	facilitated	facilitate	VERB
easat-6182	23	7	its	its	PRON
easat-6182	23	8	use	use	NOUN
easat-6182	23	9	in	in	ADP
easat-6182	23	10	medical	medical	ADJ
easat-6182	23	11	procedures	procedure	NOUN
easat-6182	23	12	,	,	PUNCT
easat-6182	23	13	particularly	particularly	ADV
easat-6182	23	14	in	in	ADP
easat-6182	23	15	cancer	cancer	NOUN
easat-6182	23	16	detection	detection	NOUN
easat-6182	23	17	.	.	PUNCT
easat-6182	24	1	notwithstanding	notwithstanding	ADP
easat-6182	24	2	its	its	PRON
easat-6182	24	3	advantages	advantage	NOUN
easat-6182	24	4	,	,	PUNCT
easat-6182	24	5	the	the	DET
easat-6182	24	6	exclusive	exclusive	ADJ
easat-6182	24	7	use	use	NOUN
easat-6182	24	8	1102	1102	NUM
easat-6182	24	9	edelweiss	edelweiss	PROPN
easat-6182	24	10	applied	apply	VERB
easat-6182	24	11	science	science	NOUN
easat-6182	24	12	and	and	CCONJ
easat-6182	24	13	technology	technology	NOUN
easat-6182	24	14	issn	issn	PROPN
easat-6182	24	15	:	:	PUNCT
easat-6182	24	16	2576	2576	NUM
easat-6182	24	17	-	-	SYM
easat-6182	24	18	8484	8484	NUM
easat-6182	24	19	vol	vol	NOUN
easat-6182	24	20	.	.	PROPN
easat-6182	25	1	9	9	NUM
easat-6182	25	2	,	,	PUNCT
easat-6182	25	3	no	no	INTJ
easat-6182	25	4	.	.	NOUN
easat-6182	25	5	4	4	NUM
easat-6182	25	6	:	:	PUNCT
easat-6182	25	7	1101	1101	NUM
easat-6182	25	8	-	-	PUNCT
easat-6182	25	9	1109	1109	NUM
easat-6182	25	10	,	,	PUNCT
easat-6182	25	11	2025	2025	NUM
easat-6182	25	12	doi	doi	NOUN
easat-6182	25	13	:	:	PUNCT
easat-6182	25	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	25	15	©	©	PROPN
easat-6182	25	16	2025	2025	NUM
easat-6182	25	17	by	by	ADP
easat-6182	25	18	the	the	DET
easat-6182	25	19	authors	author	NOUN
easat-6182	25	20	;	;	PUNCT
easat-6182	25	21	licensee	licensee	PROPN
easat-6182	25	22	learning	learn	VERB
easat-6182	25	23	gate	gate	NOUN
easat-6182	25	24	of	of	ADP
easat-6182	25	25	either	either	DET
easat-6182	25	26	method	method	NOUN
easat-6182	25	27	of	of	ADP
easat-6182	25	28	fuzzy	fuzzy	ADJ
easat-6182	25	29	logic	logic	NOUN
easat-6182	25	30	or	or	CCONJ
easat-6182	25	31	linear	linear	ADJ
easat-6182	25	32	regression	regression	NOUN
easat-6182	25	33	exhibits	exhibit	VERB
easat-6182	25	34	constraints	constraint	NOUN
easat-6182	25	35	[	[	X
easat-6182	25	36	3	3	NUM
easat-6182	25	37	]	]	PUNCT
easat-6182	25	38	.	.	PUNCT
easat-6182	26	1	consequently	consequently	ADV
easat-6182	26	2	,	,	PUNCT
easat-6182	26	3	researchers	researcher	NOUN
easat-6182	26	4	are	be	AUX
easat-6182	26	5	investigating	investigate	VERB
easat-6182	26	6	the	the	DET
easat-6182	26	7	incorporation	incorporation	NOUN
easat-6182	26	8	of	of	ADP
easat-6182	26	9	linear	linear	ADJ
easat-6182	26	10	regression	regression	NOUN
easat-6182	26	11	into	into	ADP
easat-6182	26	12	fuzzy	fuzzy	ADJ
easat-6182	26	13	expert	expert	NOUN
easat-6182	26	14	systems	system	NOUN
easat-6182	26	15	to	to	PART
easat-6182	26	16	enhance	enhance	VERB
easat-6182	26	17	diagnostic	diagnostic	ADJ
easat-6182	26	18	precision	precision	NOUN
easat-6182	26	19	by	by	ADP
easat-6182	26	20	using	use	VERB
easat-6182	26	21	the	the	DET
easat-6182	26	22	advantages	advantage	NOUN
easat-6182	26	23	of	of	ADP
easat-6182	26	24	both	both	DET
easat-6182	26	25	methodologies	methodology	NOUN
easat-6182	26	26	.	.	PUNCT
easat-6182	27	1	the	the	DET
easat-6182	27	2	main	main	ADJ
easat-6182	27	3	screening	screening	NOUN
easat-6182	27	4	method	method	NOUN
easat-6182	27	5	used	use	VERB
easat-6182	27	6	in	in	ADP
easat-6182	27	7	breast	breast	NOUN
easat-6182	27	8	cancer	cancer	NOUN
easat-6182	27	9	is	be	AUX
easat-6182	27	10	mammography	mammography	NOUN
easat-6182	27	11	as	as	SCONJ
easat-6182	27	12	shown	show	VERB
easat-6182	27	13	in	in	ADP
easat-6182	27	14	figure	figure	NOUN
easat-6182	27	15	1	1	NUM
easat-6182	27	16	.	.	PUNCT
easat-6182	28	1	this	this	DET
easat-6182	28	2	work	work	NOUN
easat-6182	28	3	is	be	AUX
easat-6182	28	4	to	to	PART
easat-6182	28	5	provide	provide	VERB
easat-6182	28	6	a	a	DET
easat-6182	28	7	thorough	thorough	ADJ
easat-6182	28	8	examination	examination	NOUN
easat-6182	28	9	of	of	ADP
easat-6182	28	10	the	the	DET
easat-6182	28	11	many	many	ADJ
easat-6182	28	12	approaches	approach	NOUN
easat-6182	28	13	now	now	ADV
easat-6182	28	14	used	use	VERB
easat-6182	28	15	in	in	ADP
easat-6182	28	16	breast	breast	NOUN
easat-6182	28	17	cancer	cancer	NOUN
easat-6182	28	18	detection	detection	NOUN
easat-6182	28	19	.	.	PUNCT
easat-6182	29	1	this	this	PRON
easat-6182	29	2	will	will	AUX
easat-6182	29	3	assess	assess	VERB
easat-6182	29	4	the	the	DET
easat-6182	29	5	efficacy	efficacy	NOUN
easat-6182	29	6	of	of	ADP
easat-6182	29	7	various	various	ADJ
easat-6182	29	8	strategies	strategy	NOUN
easat-6182	29	9	,	,	PUNCT
easat-6182	29	10	together	together	ADV
easat-6182	29	11	with	with	ADP
easat-6182	29	12	their	their	PRON
easat-6182	29	13	constraints	constraint	NOUN
easat-6182	29	14	and	and	CCONJ
easat-6182	29	15	recent	recent	ADJ
easat-6182	29	16	developments	development	NOUN
easat-6182	29	17	.	.	PUNCT
easat-6182	30	1	furthermore	furthermore	ADV
easat-6182	30	2	,	,	PUNCT
easat-6182	30	3	it	it	PRON
easat-6182	30	4	examines	examine	VERB
easat-6182	30	5	the	the	DET
easat-6182	30	6	current	current	ADJ
easat-6182	30	7	initiatives	initiative	NOUN
easat-6182	30	8	aimed	aim	VERB
easat-6182	30	9	at	at	ADP
easat-6182	30	10	enhancing	enhance	VERB
easat-6182	30	11	and	and	CCONJ
easat-6182	30	12	expanding	expand	VERB
easat-6182	30	13	these	these	DET
easat-6182	30	14	methodologies	methodology	NOUN
easat-6182	30	15	,	,	PUNCT
easat-6182	30	16	specifically	specifically	ADV
easat-6182	30	17	emphasizing	emphasize	VERB
easat-6182	30	18	prospective	prospective	ADJ
easat-6182	30	19	advancements	advancement	NOUN
easat-6182	30	20	in	in	ADP
easat-6182	30	21	accuracy	accuracy	NOUN
easat-6182	30	22	,	,	PUNCT
easat-6182	30	23	early	early	ADJ
easat-6182	30	24	diagnosis	diagnosis	NOUN
easat-6182	30	25	,	,	PUNCT
easat-6182	30	26	and	and	CCONJ
easat-6182	30	27	patient	patient	ADJ
easat-6182	30	28	outcomes	outcome	NOUN
easat-6182	30	29	.	.	PUNCT
easat-6182	31	1	figure	figure	VERB
easat-6182	31	2	1	1	NUM
easat-6182	31	3	.	.	PUNCT
easat-6182	31	4	breast	breast	NOUN
easat-6182	31	5	cancer	cancer	NOUN
easat-6182	31	6	screening	screen	VERB
easat-6182	32	1	[	[	X
easat-6182	32	2	6	6	NUM
easat-6182	32	3	]	]	PUNCT
easat-6182	32	4	.	.	PUNCT
easat-6182	33	1	this	this	DET
easat-6182	33	2	paper	paper	NOUN
easat-6182	33	3	is	be	AUX
easat-6182	33	4	structured	structure	VERB
easat-6182	33	5	as	as	SCONJ
easat-6182	33	6	follows	follow	VERB
easat-6182	33	7	:	:	PUNCT
easat-6182	33	8	the	the	DET
easat-6182	33	9	first	first	ADJ
easat-6182	33	10	part	part	NOUN
easat-6182	33	11	presents	present	VERB
easat-6182	33	12	an	an	DET
easat-6182	33	13	extensive	extensive	ADJ
easat-6182	33	14	literature	literature	NOUN
easat-6182	33	15	review	review	NOUN
easat-6182	33	16	of	of	ADP
easat-6182	33	17	pertinent	pertinent	ADJ
easat-6182	33	18	methodologies	methodology	NOUN
easat-6182	33	19	and	and	CCONJ
easat-6182	33	20	their	their	PRON
easat-6182	33	21	applications	application	NOUN
easat-6182	33	22	.	.	PUNCT
easat-6182	34	1	subsequently	subsequently	ADV
easat-6182	34	2	,	,	PUNCT
easat-6182	34	3	this	this	DET
easat-6182	34	4	work	work	NOUN
easat-6182	34	5	examines	examine	VERB
easat-6182	34	6	linear	linear	ADJ
easat-6182	34	7	regression	regression	NOUN
easat-6182	34	8	in	in	ADP
easat-6182	34	9	medical	medical	ADJ
easat-6182	34	10	concepts	concept	NOUN
easat-6182	34	11	,	,	PUNCT
easat-6182	34	12	emphasizing	emphasize	VERB
easat-6182	34	13	its	its	PRON
easat-6182	34	14	simplicity	simplicity	NOUN
easat-6182	34	15	and	and	CCONJ
easat-6182	34	16	prevalent	prevalent	ADJ
easat-6182	34	17	use	use	NOUN
easat-6182	34	18	in	in	ADP
easat-6182	34	19	diagnostic	diagnostic	ADJ
easat-6182	34	20	methods	method	NOUN
easat-6182	34	21	and	and	CCONJ
easat-6182	34	22	the	the	DET
easat-6182	34	23	integration	integration	NOUN
easat-6182	34	24	of	of	ADP
easat-6182	34	25	fuzzy	fuzzy	ADJ
easat-6182	34	26	logic	logic	NOUN
easat-6182	34	27	systems	system	NOUN
easat-6182	34	28	with	with	ADP
easat-6182	34	29	linear	linear	PROPN
easat-6182	34	30	regression	regression	NOUN
easat-6182	34	31	,	,	PUNCT
easat-6182	34	32	highlighting	highlight	VERB
easat-6182	34	33	the	the	DET
easat-6182	34	34	synergistic	synergistic	ADJ
easat-6182	34	35	advantages	advantage	NOUN
easat-6182	34	36	of	of	ADP
easat-6182	34	37	amalgamating	amalgamate	VERB
easat-6182	34	38	both	both	DET
easat-6182	34	39	methodologies	methodology	NOUN
easat-6182	34	40	.	.	PUNCT
easat-6182	35	1	the	the	DET
easat-6182	35	2	following	follow	VERB
easat-6182	35	3	section	section	NOUN
easat-6182	35	4	examines	examine	VERB
easat-6182	35	5	the	the	DET
easat-6182	35	6	limitations	limitation	NOUN
easat-6182	35	7	of	of	ADP
easat-6182	35	8	linear	linear	ADJ
easat-6182	35	9	regression	regression	NOUN
easat-6182	35	10	and	and	CCONJ
easat-6182	35	11	fuzzy	fuzzy	ADJ
easat-6182	35	12	logic	logic	NOUN
easat-6182	35	13	when	when	SCONJ
easat-6182	35	14	used	use	VERB
easat-6182	35	15	independently	independently	ADV
easat-6182	35	16	.	.	PUNCT
easat-6182	36	1	then	then	ADV
easat-6182	36	2	,	,	PUNCT
easat-6182	36	3	we	we	PRON
easat-6182	36	4	will	will	AUX
easat-6182	36	5	concentrate	concentrate	VERB
easat-6182	36	6	on	on	ADP
easat-6182	36	7	the	the	DET
easat-6182	36	8	use	use	NOUN
easat-6182	36	9	of	of	ADP
easat-6182	36	10	linear	linear	ADJ
easat-6182	36	11	regression	regression	NOUN
easat-6182	36	12	in	in	ADP
easat-6182	36	13	breast	breast	NOUN
easat-6182	36	14	cancer	cancer	NOUN
easat-6182	36	15	detection	detection	NOUN
easat-6182	36	16	,	,	PUNCT
easat-6182	36	17	elucidating	elucidate	VERB
easat-6182	36	18	its	its	PRON
easat-6182	36	19	particular	particular	ADJ
easat-6182	36	20	function	function	NOUN
easat-6182	36	21	and	and	CCONJ
easat-6182	36	22	influence	influence	NOUN
easat-6182	36	23	.	.	PUNCT
easat-6182	37	1	ultimately	ultimately	ADV
easat-6182	37	2	,	,	PUNCT
easat-6182	37	3	this	this	DET
easat-6182	37	4	work	work	NOUN
easat-6182	37	5	provides	provide	VERB
easat-6182	37	6	recommendations	recommendation	NOUN
easat-6182	37	7	for	for	ADP
easat-6182	37	8	future	future	ADJ
easat-6182	37	9	research	research	NOUN
easat-6182	37	10	to	to	PART
easat-6182	37	11	address	address	VERB
easat-6182	37	12	current	current	ADJ
easat-6182	37	13	problems	problem	NOUN
easat-6182	37	14	and	and	CCONJ
easat-6182	37	15	enhance	enhance	VERB
easat-6182	37	16	diagnosis	diagnosis	NOUN
easat-6182	37	17	accuracy	accuracy	NOUN
easat-6182	37	18	,	,	PUNCT
easat-6182	37	19	followed	follow	VERB
easat-6182	37	20	by	by	ADP
easat-6182	37	21	a	a	DET
easat-6182	37	22	summary	summary	NOUN
easat-6182	37	23	of	of	ADP
easat-6182	37	24	significant	significant	ADJ
easat-6182	37	25	insights	insight	NOUN
easat-6182	37	26	in	in	ADP
easat-6182	37	27	the	the	DET
easat-6182	37	28	conclusion	conclusion	NOUN
easat-6182	37	29	.	.	PUNCT
easat-6182	38	1	2	2	X
easat-6182	38	2	.	.	X
easat-6182	38	3	literature	literature	NOUN
easat-6182	38	4	review	review	VERB
easat-6182	38	5	fuzzy	fuzzy	ADJ
easat-6182	38	6	logic	logic	NOUN
easat-6182	38	7	is	be	AUX
easat-6182	38	8	a	a	DET
easat-6182	38	9	rather	rather	ADV
easat-6182	38	10	intricate	intricate	ADJ
easat-6182	38	11	methodology	methodology	NOUN
easat-6182	38	12	that	that	PRON
easat-6182	38	13	offers	offer	VERB
easat-6182	38	14	appropriate	appropriate	ADJ
easat-6182	38	15	tools	tool	NOUN
easat-6182	38	16	to	to	PART
easat-6182	38	17	address	address	VERB
easat-6182	38	18	issues	issue	NOUN
easat-6182	38	19	regarding	regard	VERB
easat-6182	38	20	the	the	DET
easat-6182	38	21	diagnostic	diagnostic	ADJ
easat-6182	38	22	practice	practice	NOUN
easat-6182	38	23	of	of	ADP
easat-6182	38	24	common	common	ADJ
easat-6182	38	25	diseases	disease	NOUN
easat-6182	38	26	,	,	PUNCT
easat-6182	38	27	including	include	VERB
easat-6182	38	28	breast	breast	NOUN
easat-6182	38	29	cancer	cancer	NOUN
easat-6182	38	30	.	.	PUNCT
easat-6182	39	1	some	some	DET
easat-6182	39	2	authors	author	NOUN
easat-6182	39	3	,	,	PUNCT
easat-6182	39	4	such	such	ADJ
easat-6182	39	5	as	as	ADP
easat-6182	39	6	tjendra	tjendra	NOUN
easat-6182	39	7	,	,	PUNCT
easat-6182	39	8	et	et	PROPN
easat-6182	39	9	al	al	PROPN
easat-6182	39	10	.	.	PUNCT
easat-6182	40	1	[	[	X
easat-6182	40	2	7	7	X
easat-6182	40	3	]	]	PUNCT
easat-6182	40	4	note	note	NOUN
easat-6182	40	5	that	that	SCONJ
easat-6182	40	6	converting	convert	VERB
easat-6182	40	7	machine	machine	NOUN
easat-6182	40	8	learning	learn	VERB
easat-6182	40	9	to	to	ADP
easat-6182	40	10	binary	binary	ADJ
easat-6182	40	11	classification	classification	NOUN
easat-6182	40	12	is	be	AUX
easat-6182	40	13	a	a	DET
easat-6182	40	14	problem	problem	NOUN
easat-6182	40	15	when	when	SCONJ
easat-6182	40	16	the	the	DET
easat-6182	40	17	situation	situation	NOUN
easat-6182	40	18	is	be	AUX
easat-6182	40	19	entirely	entirely	ADV
easat-6182	40	20	different	different	ADJ
easat-6182	40	21	.	.	PUNCT
easat-6182	41	1	this	this	PRON
easat-6182	41	2	,	,	PUNCT
easat-6182	41	3	according	accord	VERB
easat-6182	41	4	to	to	ADP
easat-6182	41	5	them	they	PRON
easat-6182	41	6	,	,	PUNCT
easat-6182	41	7	will	will	AUX
easat-6182	41	8	be	be	AUX
easat-6182	41	9	disadvantageous	disadvantageous	ADJ
easat-6182	41	10	if	if	SCONJ
easat-6182	41	11	patients	patient	NOUN
easat-6182	41	12	'	'	PART
easat-6182	41	13	possible	possible	ADJ
easat-6182	41	14	severity	severity	NOUN
easat-6182	41	15	groups	group	NOUN
easat-6182	41	16	are	be	AUX
easat-6182	41	17	categorized	categorize	VERB
easat-6182	41	18	because	because	SCONJ
easat-6182	41	19	disease	disease	NOUN
easat-6182	41	20	processes	process	NOUN
easat-6182	41	21	may	may	AUX
easat-6182	41	22	be	be	AUX
easat-6182	41	23	different	different	ADJ
easat-6182	41	24	.	.	PUNCT
easat-6182	42	1	according	accord	VERB
easat-6182	42	2	to	to	ADP
easat-6182	42	3	jindal	jindal	PROPN
easat-6182	42	4	,	,	PUNCT
easat-6182	42	5	et	et	PROPN
easat-6182	42	6	al	al	PROPN
easat-6182	42	7	.	.	PUNCT
easat-6182	43	1	[	[	X
easat-6182	43	2	8	8	NUM
easat-6182	43	3	]	]	PUNCT
easat-6182	43	4	there	there	PRON
easat-6182	43	5	is	be	VERB
easat-6182	43	6	a	a	DET
easat-6182	43	7	certain	certain	ADJ
easat-6182	43	8	level	level	NOUN
easat-6182	43	9	of	of	ADP
easat-6182	43	10	truth	truth	NOUN
easat-6182	43	11	towards	towards	ADP
easat-6182	43	12	which	which	PRON
easat-6182	43	13	this	this	DET
easat-6182	43	14	perspective	perspective	NOUN
easat-6182	43	15	leans	lean	VERB
easat-6182	43	16	by	by	ADP
easat-6182	43	17	demonstrating	demonstrate	VERB
easat-6182	43	18	how	how	SCONJ
easat-6182	43	19	fuzzy	fuzzy	ADJ
easat-6182	43	20	logic	logic	NOUN
easat-6182	43	21	can	can	AUX
easat-6182	43	22	make	make	VERB
easat-6182	43	23	propositions	proposition	NOUN
easat-6182	43	24	at	at	ADP
easat-6182	43	25	least	least	ADJ
easat-6182	43	26	partially	partially	ADV
easat-6182	43	27	true	true	ADJ
easat-6182	43	28	.	.	PUNCT
easat-6182	44	1	they	they	PRON
easat-6182	44	2	also	also	ADV
easat-6182	44	3	explain	explain	VERB
easat-6182	44	4	how	how	SCONJ
easat-6182	44	5	fuzzy	fuzzy	ADJ
easat-6182	44	6	logic	logic	NOUN
easat-6182	44	7	systems	system	NOUN
easat-6182	44	8	can	can	AUX
easat-6182	44	9	not	not	PART
easat-6182	44	10	only	only	ADV
easat-6182	44	11	refer	refer	VERB
easat-6182	44	12	to	to	ADP
easat-6182	44	13	tumour	tumour	NOUN
easat-6182	44	14	results	result	NOUN
easat-6182	44	15	as	as	ADP
easat-6182	44	16	malignant	malignant	ADJ
easat-6182	44	17	or	or	CCONJ
easat-6182	44	18	non	non	ADJ
easat-6182	44	19	-	-	ADJ
easat-6182	44	20	malignant	malignant	ADJ
easat-6182	44	21	,	,	PUNCT
easat-6182	44	22	as	as	SCONJ
easat-6182	44	23	most	most	ADJ
easat-6182	44	24	models	model	NOUN
easat-6182	44	25	do	do	VERB
easat-6182	44	26	but	but	CCONJ
easat-6182	44	27	also	also	ADV
easat-6182	44	28	can	can	AUX
easat-6182	44	29	express	express	VERB
easat-6182	44	30	the	the	DET
easat-6182	44	31	probability	probability	NOUN
easat-6182	44	32	of	of	ADP
easat-6182	44	33	malignancy	malignancy	NOUN
easat-6182	44	34	as	as	ADP
easat-6182	44	35	70	70	NUM
easat-6182	44	36	percent	percent	NOUN
easat-6182	44	37	,	,	PUNCT
easat-6182	44	38	for	for	ADP
easat-6182	44	39	instance	instance	NOUN
easat-6182	44	40	.	.	PUNCT
easat-6182	45	1	the	the	DET
easat-6182	45	2	same	same	ADJ
easat-6182	45	3	idea	idea	NOUN
easat-6182	45	4	is	be	AUX
easat-6182	45	5	pointed	point	VERB
easat-6182	45	6	out	out	ADP
easat-6182	45	7	in	in	ADP
easat-6182	45	8	both	both	PRON
easat-6182	45	9	of	of	ADP
easat-6182	45	10	the	the	DET
easat-6182	45	11	studies	study	NOUN
easat-6182	45	12	.	.	PUNCT
easat-6182	46	1	1103	1103	NUM
easat-6182	46	2	edelweiss	edelweiss	PROPN
easat-6182	46	3	applied	apply	VERB
easat-6182	46	4	science	science	NOUN
easat-6182	46	5	and	and	CCONJ
easat-6182	46	6	technology	technology	NOUN
easat-6182	46	7	issn	issn	PROPN
easat-6182	46	8	:	:	PUNCT
easat-6182	46	9	2576	2576	NUM
easat-6182	46	10	-	-	SYM
easat-6182	46	11	8484	8484	NUM
easat-6182	46	12	vol	vol	NOUN
easat-6182	46	13	.	.	PROPN
easat-6182	47	1	9	9	NUM
easat-6182	47	2	,	,	PUNCT
easat-6182	47	3	no	no	INTJ
easat-6182	47	4	.	.	NOUN
easat-6182	47	5	4	4	NUM
easat-6182	47	6	:	:	PUNCT
easat-6182	47	7	1101	1101	NUM
easat-6182	47	8	-	-	PUNCT
easat-6182	47	9	1109	1109	NUM
easat-6182	47	10	,	,	PUNCT
easat-6182	47	11	2025	2025	NUM
easat-6182	47	12	doi	doi	NOUN
easat-6182	47	13	:	:	PUNCT
easat-6182	47	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	47	15	©	©	PROPN
easat-6182	47	16	2025	2025	NUM
easat-6182	47	17	by	by	ADP
easat-6182	47	18	the	the	DET
easat-6182	47	19	authors	author	NOUN
easat-6182	47	20	;	;	PUNCT
easat-6182	47	21	licensee	licensee	PROPN
easat-6182	47	22	learning	learning	NOUN
easat-6182	47	23	gate	gate	NOUN
easat-6182	47	24	while	while	SCONJ
easat-6182	47	25	tjendra	tjendra	PROPN
easat-6182	47	26	,	,	PUNCT
easat-6182	47	27	et	et	PROPN
easat-6182	47	28	al	al	PROPN
easat-6182	47	29	.	.	PUNCT
easat-6182	48	1	[	[	X
easat-6182	48	2	7	7	NUM
easat-6182	48	3	]	]	PUNCT
easat-6182	48	4	provided	provide	VERB
easat-6182	48	5	the	the	DET
easat-6182	48	6	theoretical	theoretical	ADJ
easat-6182	48	7	contribution	contribution	NOUN
easat-6182	48	8	of	of	ADP
easat-6182	48	9	fuzzy	fuzzy	ADJ
easat-6182	48	10	logic	logic	NOUN
easat-6182	48	11	,	,	PUNCT
easat-6182	48	12	jindal	jindal	PROPN
easat-6182	48	13	,	,	PUNCT
easat-6182	48	14	et	et	PROPN
easat-6182	48	15	al	al	PROPN
easat-6182	48	16	.	.	PUNCT
easat-6182	49	1	[	[	X
easat-6182	49	2	8	8	NUM
easat-6182	49	3	]	]	PUNCT
easat-6182	49	4	have	have	AUX
easat-6182	49	5	described	describe	VERB
easat-6182	49	6	the	the	DET
easat-6182	49	7	applicative	applicative	ADJ
easat-6182	49	8	utility	utility	NOUN
easat-6182	49	9	of	of	ADP
easat-6182	49	10	such	such	ADJ
easat-6182	49	11	systems	system	NOUN
easat-6182	49	12	,	,	PUNCT
easat-6182	49	13	arguing	argue	VERB
easat-6182	49	14	how	how	SCONJ
easat-6182	49	15	such	such	ADJ
easat-6182	49	16	systems	system	NOUN
easat-6182	49	17	can	can	AUX
easat-6182	49	18	increase	increase	VERB
easat-6182	49	19	the	the	DET
easat-6182	49	20	accuracy	accuracy	NOUN
easat-6182	49	21	of	of	ADP
easat-6182	49	22	diagnosis	diagnosis	NOUN
easat-6182	49	23	.	.	PUNCT
easat-6182	50	1	in	in	ADP
easat-6182	50	2	addition	addition	NOUN
easat-6182	50	3	,	,	PUNCT
easat-6182	50	4	jindal	jindal	PROPN
easat-6182	50	5	,	,	PUNCT
easat-6182	50	6	et	et	PROPN
easat-6182	50	7	al	al	PROPN
easat-6182	50	8	.	.	PUNCT
easat-6182	51	1	[	[	X
easat-6182	51	2	8	8	NUM
easat-6182	51	3	]	]	PUNCT
easat-6182	51	4	also	also	ADV
easat-6182	51	5	labelled	label	VERB
easat-6182	51	6	the	the	DET
easat-6182	51	7	computational	computational	ADJ
easat-6182	51	8	part	part	NOUN
easat-6182	51	9	of	of	ADP
easat-6182	51	10	the	the	DET
easat-6182	51	11	fuzzy	fuzzy	ADJ
easat-6182	51	12	system	system	NOUN
easat-6182	51	13	as	as	ADP
easat-6182	51	14	being	be	AUX
easat-6182	51	15	potentially	potentially	ADV
easat-6182	51	16	more	more	ADV
easat-6182	51	17	challenging	challenging	ADJ
easat-6182	51	18	in	in	ADP
easat-6182	51	19	the	the	DET
easat-6182	51	20	resource	resource	NOUN
easat-6182	51	21	-	-	PUNCT
easat-6182	51	22	constraint	constraint	NOUN
easat-6182	51	23	environment	environment	NOUN
easat-6182	51	24	;	;	PUNCT
easat-6182	51	25	this	this	PRON
easat-6182	51	26	was	be	AUX
easat-6182	51	27	not	not	PART
easat-6182	51	28	elucidated	elucidate	VERB
easat-6182	51	29	by	by	ADP
easat-6182	51	30	tjendra	tjendra	PROPN
easat-6182	51	31	,	,	PUNCT
easat-6182	51	32	et	et	PROPN
easat-6182	51	33	al	al	PROPN
easat-6182	51	34	.	.	PUNCT
easat-6182	52	1	[	[	X
easat-6182	52	2	7	7	NUM
easat-6182	52	3	]	]	PUNCT
easat-6182	52	4	.	.	PUNCT
easat-6182	53	1	hence	hence	ADV
easat-6182	53	2	,	,	PUNCT
easat-6182	53	3	using	use	VERB
easat-6182	53	4	fuzzy	fuzzy	ADJ
easat-6182	53	5	logic	logic	NOUN
easat-6182	53	6	in	in	ADP
easat-6182	53	7	conjunction	conjunction	NOUN
easat-6182	53	8	with	with	ADP
easat-6182	53	9	medical	medical	ADJ
easat-6182	53	10	diagnosis	diagnosis	NOUN
easat-6182	53	11	yields	yield	VERB
easat-6182	53	12	a	a	DET
easat-6182	53	13	more	more	ADV
easat-6182	53	14	attractive	attractive	ADJ
easat-6182	53	15	approach	approach	NOUN
easat-6182	53	16	than	than	ADP
easat-6182	53	17	conventional	conventional	ADJ
easat-6182	53	18	diagnosis	diagnosis	NOUN
easat-6182	53	19	.	.	PUNCT
easat-6182	54	1	if	if	SCONJ
easat-6182	54	2	more	more	ADJ
easat-6182	54	3	categories	category	NOUN
easat-6182	54	4	of	of	ADP
easat-6182	54	5	patient	patient	ADJ
easat-6182	54	6	data	datum	NOUN
easat-6182	54	7	can	can	AUX
easat-6182	54	8	be	be	AUX
easat-6182	54	9	discerned	discern	VERB
easat-6182	54	10	than	than	ADP
easat-6182	54	11	a	a	DET
easat-6182	54	12	traditional	traditional	ADJ
easat-6182	54	13	sharp	sharp	ADJ
easat-6182	54	14	set	set	NOUN
easat-6182	54	15	of	of	ADP
easat-6182	54	16	categories	category	NOUN
easat-6182	54	17	,	,	PUNCT
easat-6182	54	18	then	then	ADV
easat-6182	54	19	the	the	DET
easat-6182	54	20	use	use	NOUN
easat-6182	54	21	of	of	ADP
easat-6182	54	22	fuzzy	fuzzy	ADJ
easat-6182	54	23	logic	logic	NOUN
easat-6182	54	24	may	may	AUX
easat-6182	54	25	minimize	minimize	VERB
easat-6182	54	26	the	the	DET
easat-6182	54	27	chances	chance	NOUN
easat-6182	54	28	of	of	ADP
easat-6182	54	29	an	an	DET
easat-6182	54	30	improper	improper	ADJ
easat-6182	54	31	diagnosis	diagnosis	NOUN
easat-6182	54	32	.	.	PUNCT
easat-6182	55	1	these	these	DET
easat-6182	55	2	asymmetries	asymmetry	NOUN
easat-6182	55	3	increase	increase	VERB
easat-6182	55	4	the	the	DET
easat-6182	55	5	need	need	NOUN
easat-6182	55	6	for	for	ADP
easat-6182	55	7	theoretical	theoretical	ADJ
easat-6182	55	8	analysis	analysis	NOUN
easat-6182	55	9	and	and	CCONJ
easat-6182	55	10	methodization	methodization	NOUN
easat-6182	55	11	in	in	ADP
easat-6182	55	12	the	the	DET
easat-6182	55	13	advancement	advancement	NOUN
easat-6182	55	14	of	of	ADP
easat-6182	55	15	clinical	clinical	ADJ
easat-6182	55	16	diagnostic	diagnostic	ADJ
easat-6182	55	17	technologies	technology	NOUN
easat-6182	55	18	while	while	SCONJ
easat-6182	55	19	at	at	ADP
easat-6182	55	20	the	the	DET
easat-6182	55	21	same	same	ADJ
easat-6182	55	22	time	time	NOUN
easat-6182	55	23	provoking	provoke	VERB
easat-6182	55	24	negative	negative	ADJ
easat-6182	55	25	externality	externality	NOUN
easat-6182	55	26	costs	cost	NOUN
easat-6182	55	27	in	in	ADP
easat-6182	55	28	terms	term	NOUN
easat-6182	55	29	of	of	ADP
easat-6182	55	30	resources	resource	NOUN
easat-6182	55	31	.	.	PUNCT
easat-6182	56	1	moreover	moreover	ADV
easat-6182	56	2	,	,	PUNCT
easat-6182	56	3	much	much	ADJ
easat-6182	56	4	research	research	NOUN
easat-6182	56	5	has	have	AUX
easat-6182	56	6	been	be	AUX
easat-6182	56	7	conducted	conduct	VERB
easat-6182	56	8	in	in	ADP
easat-6182	56	9	the	the	DET
easat-6182	56	10	medical	medical	ADJ
easat-6182	56	11	area	area	NOUN
easat-6182	56	12	using	use	VERB
easat-6182	56	13	leaner	lean	ADJ
easat-6182	56	14	regressions	regression	NOUN
easat-6182	56	15	.	.	PUNCT
easat-6182	57	1	linear	linear	ADJ
easat-6182	57	2	regression	regression	NOUN
easat-6182	57	3	is	be	AUX
easat-6182	57	4	widely	widely	ADV
easat-6182	57	5	applied	apply	VERB
easat-6182	57	6	for	for	ADP
easat-6182	57	7	data	datum	NOUN
easat-6182	57	8	analysis	analysis	NOUN
easat-6182	57	9	in	in	ADP
easat-6182	57	10	medical	medical	ADJ
easat-6182	57	11	research	research	NOUN
easat-6182	57	12	because	because	SCONJ
easat-6182	57	13	they	they	PRON
easat-6182	57	14	have	have	VERB
easat-6182	57	15	a	a	DET
easat-6182	57	16	basic	basic	ADJ
easat-6182	57	17	understanding	understanding	NOUN
easat-6182	57	18	of	of	ADP
easat-6182	57	19	them	they	PRON
easat-6182	57	20	and	and	CCONJ
easat-6182	57	21	their	their	PRON
easat-6182	57	22	interpretations	interpretation	NOUN
easat-6182	57	23	.	.	PUNCT
easat-6182	58	1	however	however	ADV
easat-6182	58	2	,	,	PUNCT
easat-6182	58	3	arguing	argue	VERB
easat-6182	58	4	differently	differently	ADV
easat-6182	58	5	from	from	ADP
easat-6182	58	6	the	the	DET
easat-6182	58	7	above	above	ADJ
easat-6182	58	8	approach	approach	NOUN
easat-6182	58	9	,	,	PUNCT
easat-6182	58	10	the	the	DET
easat-6182	58	11	authors	author	NOUN
easat-6182	58	12	[	[	X
easat-6182	58	13	9	9	NUM
easat-6182	58	14	]	]	PUNCT
easat-6182	58	15	held	hold	VERB
easat-6182	58	16	the	the	DET
easat-6182	58	17	opinion	opinion	NOUN
easat-6182	58	18	that	that	SCONJ
easat-6182	58	19	instead	instead	ADV
easat-6182	58	20	of	of	ADP
easat-6182	58	21	linearity	linearity	NOUN
easat-6182	58	22	,	,	PUNCT
easat-6182	58	23	polynomial	polynomial	ADJ
easat-6182	58	24	regression	regression	NOUN
easat-6182	58	25	could	could	AUX
easat-6182	58	26	be	be	AUX
easat-6182	58	27	much	much	ADV
easat-6182	58	28	more	more	ADV
easat-6182	58	29	effective	effective	ADJ
easat-6182	58	30	because	because	SCONJ
easat-6182	58	31	of	of	ADP
easat-6182	58	32	its	its	PRON
easat-6182	58	33	power	power	NOUN
easat-6182	58	34	and	and	CCONJ
easat-6182	58	35	capability	capability	NOUN
easat-6182	58	36	to	to	PART
easat-6182	58	37	deal	deal	VERB
easat-6182	58	38	with	with	ADP
easat-6182	58	39	nonlinearity	nonlinearity	NOUN
easat-6182	58	40	.	.	PUNCT
easat-6182	59	1	this	this	PRON
easat-6182	59	2	opens	open	VERB
easat-6182	59	3	a	a	DET
easat-6182	59	4	third	third	ADJ
easat-6182	59	5	dimension	dimension	NOUN
easat-6182	59	6	in	in	ADP
easat-6182	59	7	arguing	argue	VERB
easat-6182	59	8	that	that	SCONJ
easat-6182	59	9	while	while	SCONJ
easat-6182	59	10	linear	linear	ADJ
easat-6182	59	11	regression	regression	NOUN
easat-6182	59	12	may	may	AUX
easat-6182	59	13	be	be	AUX
easat-6182	59	14	practical	practical	ADJ
easat-6182	59	15	,	,	PUNCT
easat-6182	59	16	it	it	PRON
easat-6182	59	17	is	be	AUX
easat-6182	59	18	essential	essential	ADJ
easat-6182	59	19	to	to	PART
easat-6182	59	20	be	be	AUX
easat-6182	59	21	able	able	ADJ
easat-6182	59	22	to	to	PART
easat-6182	59	23	think	think	VERB
easat-6182	59	24	of	of	ADP
easat-6182	59	25	other	other	ADJ
easat-6182	59	26	forms	form	NOUN
easat-6182	59	27	of	of	ADP
easat-6182	59	28	regression	regression	NOUN
easat-6182	59	29	analysis	analysis	NOUN
easat-6182	59	30	that	that	PRON
easat-6182	59	31	could	could	AUX
easat-6182	59	32	be	be	AUX
easat-6182	59	33	useful	useful	ADJ
easat-6182	59	34	in	in	ADP
easat-6182	59	35	managing	manage	VERB
easat-6182	59	36	medical	medical	ADJ
easat-6182	59	37	data	datum	NOUN
easat-6182	59	38	configurations	configuration	NOUN
easat-6182	59	39	.	.	PUNCT
easat-6182	60	1	thus	thus	ADV
easat-6182	60	2	,	,	PUNCT
easat-6182	60	3	linear	linear	ADJ
easat-6182	60	4	regression	regression	NOUN
easat-6182	60	5	analysis	analysis	NOUN
easat-6182	60	6	is	be	AUX
easat-6182	60	7	a	a	DET
easat-6182	60	8	valuable	valuable	ADJ
easat-6182	60	9	method	method	NOUN
easat-6182	60	10	for	for	ADP
easat-6182	60	11	breast	breast	NOUN
easat-6182	60	12	cancer	cancer	NOUN
easat-6182	60	13	risk	risk	NOUN
easat-6182	60	14	prediction	prediction	NOUN
easat-6182	60	15	,	,	PUNCT
easat-6182	60	16	but	but	CCONJ
easat-6182	60	17	its	its	PRON
easat-6182	60	18	usage	usage	NOUN
easat-6182	60	19	is	be	AUX
easat-6182	60	20	only	only	ADV
easat-6182	60	21	appropriate	appropriate	ADJ
easat-6182	60	22	.	.	PUNCT
easat-6182	61	1	it	it	PRON
easat-6182	61	2	also	also	ADV
easat-6182	61	3	implies	imply	VERB
easat-6182	61	4	that	that	SCONJ
easat-6182	61	5	more	more	ADJ
easat-6182	61	6	complex	complex	ADJ
easat-6182	61	7	modelling	modelling	NOUN
easat-6182	61	8	methods	method	NOUN
easat-6182	61	9	are	be	AUX
easat-6182	61	10	needed	need	VERB
easat-6182	61	11	,	,	PUNCT
easat-6182	61	12	which	which	PRON
easat-6182	61	13	is	be	AUX
easat-6182	61	14	even	even	ADV
easat-6182	61	15	more	more	ADV
easat-6182	61	16	apparent	apparent	ADJ
easat-6182	61	17	when	when	SCONJ
easat-6182	61	18	considering	consider	VERB
easat-6182	61	19	the	the	DET
easat-6182	61	20	amount	amount	NOUN
easat-6182	61	21	of	of	ADP
easat-6182	61	22	data	datum	NOUN
easat-6182	61	23	produced	produce	VERB
easat-6182	61	24	in	in	ADP
easat-6182	61	25	biological	biological	ADJ
easat-6182	61	26	applications	application	NOUN
easat-6182	61	27	.	.	PUNCT
easat-6182	62	1	to	to	PART
easat-6182	62	2	effect	effect	VERB
easat-6182	62	3	better	well	ADJ
easat-6182	62	4	diagnostic	diagnostic	ADJ
easat-6182	62	5	results	result	NOUN
easat-6182	62	6	in	in	ADP
easat-6182	62	7	the	the	DET
easat-6182	62	8	future	future	NOUN
easat-6182	62	9	,	,	PUNCT
easat-6182	62	10	it	it	PRON
easat-6182	62	11	will	will	AUX
easat-6182	62	12	be	be	AUX
easat-6182	62	13	helpful	helpful	ADJ
easat-6182	62	14	in	in	ADP
easat-6182	62	15	studies	study	NOUN
easat-6182	62	16	to	to	PART
easat-6182	62	17	attempt	attempt	VERB
easat-6182	62	18	to	to	PART
easat-6182	62	19	extend	extend	VERB
easat-6182	62	20	the	the	DET
easat-6182	62	21	implementation	implementation	NOUN
easat-6182	62	22	of	of	ADP
easat-6182	62	23	linear	linear	ADJ
easat-6182	62	24	regression	regression	NOUN
easat-6182	62	25	with	with	ADP
easat-6182	62	26	other	other	ADJ
easat-6182	62	27	forms	form	NOUN
easat-6182	62	28	of	of	ADP
easat-6182	62	29	regression	regression	NOUN
easat-6182	62	30	,	,	PUNCT
easat-6182	62	31	such	such	ADJ
easat-6182	62	32	as	as	ADP
easat-6182	62	33	polynomial	polynomial	ADJ
easat-6182	62	34	regression	regression	NOUN
easat-6182	62	35	.	.	PUNCT
easat-6182	63	1	gomila	gomila	PROPN
easat-6182	64	1	[	[	X
easat-6182	64	2	10	10	NUM
easat-6182	64	3	]	]	PUNCT
easat-6182	64	4	also	also	ADV
easat-6182	64	5	describes	describe	VERB
easat-6182	64	6	how	how	SCONJ
easat-6182	64	7	this	this	DET
easat-6182	64	8	model	model	NOUN
easat-6182	64	9	's	's	PART
easat-6182	64	10	use	use	NOUN
easat-6182	64	11	in	in	ADP
easat-6182	64	12	developing	develop	VERB
easat-6182	64	13	risk	risk	NOUN
easat-6182	64	14	scores	score	NOUN
easat-6182	64	15	lets	let	VERB
easat-6182	64	16	clinicians	clinician	NOUN
easat-6182	64	17	assess	assess	VERB
easat-6182	64	18	the	the	DET
easat-6182	64	19	probability	probability	NOUN
easat-6182	64	20	of	of	ADP
easat-6182	64	21	breast	breast	NOUN
easat-6182	64	22	cancer	cancer	NOUN
easat-6182	64	23	based	base	VERB
easat-6182	64	24	on	on	ADP
easat-6182	64	25	various	various	ADJ
easat-6182	64	26	patient	patient	ADJ
easat-6182	64	27	descriptors	descriptor	NOUN
easat-6182	64	28	,	,	PUNCT
easat-6182	64	29	such	such	ADJ
easat-6182	64	30	as	as	ADP
easat-6182	64	31	age	age	NOUN
easat-6182	64	32	and	and	CCONJ
easat-6182	64	33	tumour	tumour	NOUN
easat-6182	64	34	.	.	PUNCT
easat-6182	65	1	stressed	stress	VERB
easat-6182	65	2	the	the	DET
easat-6182	65	3	possibility	possibility	NOUN
easat-6182	65	4	of	of	ADP
easat-6182	65	5	using	use	VERB
easat-6182	65	6	linear	linear	PROPN
easat-6182	65	7	regression	regression	NOUN
easat-6182	65	8	in	in	ADP
easat-6182	65	9	order	order	NOUN
easat-6182	65	10	to	to	PART
easat-6182	65	11	make	make	VERB
easat-6182	65	12	an	an	DET
easat-6182	65	13	initial	initial	ADJ
easat-6182	65	14	estimation	estimation	NOUN
easat-6182	65	15	of	of	ADP
easat-6182	65	16	risk	risk	NOUN
easat-6182	65	17	on	on	ADP
easat-6182	65	18	the	the	DET
easat-6182	65	19	same	same	ADJ
easat-6182	65	20	subject	subject	NOUN
easat-6182	65	21	.	.	PUNCT
easat-6182	66	1	however	however	ADV
easat-6182	66	2	,	,	PUNCT
easat-6182	66	3	according	accord	VERB
easat-6182	66	4	to	to	ADP
easat-6182	66	5	mullahy	mullahy	PROPN
easat-6182	66	6	and	and	CCONJ
easat-6182	66	7	norton	norton	PROPN
easat-6182	66	8	[	[	X
easat-6182	66	9	11	11	NUM
easat-6182	66	10	]	]	PUNCT
easat-6182	66	11	this	this	DET
easat-6182	66	12	approach	approach	NOUN
easat-6182	66	13	has	have	AUX
easat-6182	66	14	been	be	AUX
easat-6182	66	15	refuted	refute	VERB
easat-6182	66	16	since	since	SCONJ
easat-6182	66	17	linear	linear	PROPN
easat-6182	66	18	regression	regression	NOUN
easat-6182	66	19	is	be	AUX
easat-6182	66	20	a	a	DET
easat-6182	66	21	deficit	deficit	NOUN
easat-6182	66	22	when	when	SCONJ
easat-6182	66	23	considering	consider	VERB
easat-6182	66	24	the	the	DET
easat-6182	66	25	medical	medical	ADJ
easat-6182	66	26	data	datum	NOUN
easat-6182	66	27	with	with	ADP
easat-6182	66	28	large	large	ADJ
easat-6182	66	29	dimensions	dimension	NOUN
easat-6182	66	30	processed	process	VERB
easat-6182	66	31	.	.	PUNCT
easat-6182	67	1	they	they	PRON
easat-6182	67	2	stress	stress	VERB
easat-6182	67	3	that	that	SCONJ
easat-6182	67	4	biological	biological	ADJ
easat-6182	67	5	datasets	dataset	NOUN
easat-6182	67	6	may	may	AUX
easat-6182	67	7	encompass	encompass	VERB
easat-6182	67	8	relationships	relationship	NOUN
easat-6182	67	9	of	of	ADP
easat-6182	67	10	the	the	DET
easat-6182	67	11	second	second	ADJ
easat-6182	67	12	and	and	CCONJ
easat-6182	67	13	higher	high	ADJ
easat-6182	67	14	orders	order	NOUN
easat-6182	67	15	,	,	PUNCT
easat-6182	67	16	which	which	PRON
easat-6182	67	17	are	be	AUX
easat-6182	67	18	not	not	PART
easat-6182	67	19	adequately	adequately	ADV
easat-6182	67	20	described	describe	VERB
easat-6182	67	21	in	in	ADP
easat-6182	67	22	linear	linear	ADJ
easat-6182	67	23	components	component	NOUN
easat-6182	67	24	.	.	PUNCT
easat-6182	68	1	again	again	ADV
easat-6182	68	2	,	,	PUNCT
easat-6182	68	3	both	both	DET
easat-6182	68	4	authors	author	NOUN
easat-6182	68	5	use	use	VERB
easat-6182	68	6	the	the	DET
easat-6182	68	7	linear	linear	ADJ
easat-6182	68	8	regression	regression	NOUN
easat-6182	68	9	model	model	NOUN
easat-6182	68	10	,	,	PUNCT
easat-6182	68	11	but	but	CCONJ
easat-6182	68	12	while	while	SCONJ
easat-6182	68	13	acknowledging	acknowledge	VERB
easat-6182	68	14	the	the	DET
easat-6182	68	15	merits	merit	NOUN
easat-6182	68	16	of	of	ADP
easat-6182	68	17	this	this	DET
easat-6182	68	18	model	model	NOUN
easat-6182	68	19	across	across	ADP
easat-6182	68	20	different	different	ADJ
easat-6182	68	21	areas	area	NOUN
easat-6182	68	22	of	of	ADP
easat-6182	68	23	analysis	analysis	NOUN
easat-6182	68	24	,	,	PUNCT
easat-6182	68	25	where	where	SCONJ
easat-6182	68	26	it	it	PRON
easat-6182	68	27	could	could	AUX
easat-6182	68	28	really	really	ADV
easat-6182	68	29	be	be	AUX
easat-6182	68	30	easy	easy	ADJ
easat-6182	68	31	to	to	PART
easat-6182	68	32	apply	apply	VERB
easat-6182	68	33	,	,	PUNCT
easat-6182	68	34	the	the	DET
easat-6182	68	35	authors	author	NOUN
easat-6182	68	36	diverge	diverge	VERB
easat-6182	68	37	in	in	ADP
easat-6182	68	38	relation	relation	NOUN
easat-6182	68	39	to	to	ADP
easat-6182	68	40	its	its	PRON
easat-6182	68	41	applicability	applicability	NOUN
easat-6182	68	42	in	in	ADP
easat-6182	68	43	clinical	clinical	ADJ
easat-6182	68	44	practice	practice	NOUN
easat-6182	68	45	.	.	PUNCT
easat-6182	69	1	mullahy	mullahy	PROPN
easat-6182	69	2	and	and	CCONJ
easat-6182	69	3	norton	norton	PROPN
easat-6182	70	1	[	[	X
easat-6182	70	2	11	11	NUM
easat-6182	70	3	]	]	PUNCT
easat-6182	70	4	established	establish	VERB
easat-6182	70	5	that	that	SCONJ
easat-6182	70	6	fixed	fix	VERB
easat-6182	70	7	association	association	NOUN
easat-6182	70	8	,	,	PUNCT
easat-6182	70	9	in	in	ADP
easat-6182	70	10	this	this	DET
easat-6182	70	11	sense	sense	NOUN
easat-6182	70	12	,	,	PUNCT
easat-6182	70	13	oversimplifies	oversimplify	VERB
easat-6182	70	14	the	the	DET
easat-6182	70	15	matter	matter	NOUN
easat-6182	70	16	.	.	PUNCT
easat-6182	71	1	much	much	ADJ
easat-6182	71	2	research	research	NOUN
easat-6182	71	3	has	have	AUX
easat-6182	71	4	been	be	AUX
easat-6182	71	5	conducted	conduct	VERB
easat-6182	71	6	on	on	ADP
easat-6182	71	7	integrating	integrate	VERB
easat-6182	71	8	fuzzy	fuzzy	ADJ
easat-6182	71	9	logic	logic	NOUN
easat-6182	71	10	systems	system	NOUN
easat-6182	71	11	and	and	CCONJ
easat-6182	71	12	linear	linear	PROPN
easat-6182	71	13	regression	regression	NOUN
easat-6182	71	14	.	.	PUNCT
easat-6182	72	1	by	by	ADP
easat-6182	72	2	integrating	integrate	VERB
easat-6182	72	3	both	both	DET
easat-6182	72	4	methodologies	methodology	NOUN
easat-6182	72	5	,	,	PUNCT
easat-6182	72	6	the	the	DET
easat-6182	72	7	system	system	NOUN
easat-6182	72	8	can	can	AUX
easat-6182	72	9	manage	manage	VERB
easat-6182	72	10	ambiguous	ambiguous	ADJ
easat-6182	72	11	and	and	CCONJ
easat-6182	72	12	imprecise	imprecise	ADV
easat-6182	72	13	input	input	NOUN
easat-6182	72	14	data	datum	NOUN
easat-6182	72	15	using	use	VERB
easat-6182	72	16	fuzzy	fuzzy	ADJ
easat-6182	72	17	logic	logic	NOUN
easat-6182	72	18	while	while	SCONJ
easat-6182	72	19	simultaneously	simultaneously	ADV
easat-6182	72	20	delivering	deliver	VERB
easat-6182	72	21	accurate	accurate	ADJ
easat-6182	72	22	predictions	prediction	NOUN
easat-6182	72	23	through	through	ADP
easat-6182	72	24	regression	regression	NOUN
easat-6182	72	25	when	when	SCONJ
easat-6182	72	26	feasible	feasible	ADJ
easat-6182	72	27	.	.	PUNCT
easat-6182	73	1	integrating	integrate	VERB
easat-6182	73	2	fuzzy	fuzzy	ADJ
easat-6182	73	3	logic	logic	NOUN
easat-6182	73	4	with	with	ADP
easat-6182	73	5	linear	linear	ADJ
easat-6182	73	6	regression	regression	NOUN
easat-6182	73	7	capitalizes	capitalize	VERB
easat-6182	73	8	on	on	ADP
easat-6182	73	9	the	the	DET
easat-6182	73	10	advantages	advantage	NOUN
easat-6182	73	11	of	of	ADP
easat-6182	73	12	both	both	DET
easat-6182	73	13	methodologies	methodology	NOUN
easat-6182	73	14	:	:	PUNCT
easat-6182	73	15	fuzzy	fuzzy	ADJ
easat-6182	73	16	logic	logic	NOUN
easat-6182	73	17	's	's	PART
easat-6182	73	18	proficiency	proficiency	NOUN
easat-6182	73	19	in	in	ADP
easat-6182	73	20	managing	manage	VERB
easat-6182	73	21	ambiguity	ambiguity	NOUN
easat-6182	73	22	and	and	CCONJ
easat-6182	73	23	uncertainty	uncertainty	NOUN
easat-6182	73	24	and	and	CCONJ
easat-6182	73	25	linear	linear	PROPN
easat-6182	73	26	regression	regression	NOUN
easat-6182	73	27	's	's	PART
easat-6182	73	28	capability	capability	NOUN
easat-6182	73	29	for	for	ADP
easat-6182	73	30	accurate	accurate	ADJ
easat-6182	73	31	,	,	PUNCT
easat-6182	73	32	linear	linear	ADJ
easat-6182	73	33	predictive	predictive	ADJ
easat-6182	73	34	modelling	modelling	NOUN
easat-6182	73	35	.	.	PUNCT
easat-6182	74	1	this	this	DET
easat-6182	74	2	results	result	VERB
easat-6182	74	3	in	in	ADP
easat-6182	74	4	enhanced	enhanced	ADJ
easat-6182	74	5	performance	performance	NOUN
easat-6182	74	6	in	in	ADP
easat-6182	74	7	intricate	intricate	ADJ
easat-6182	74	8	,	,	PUNCT
easat-6182	74	9	real	real	ADJ
easat-6182	74	10	-	-	PUNCT
easat-6182	74	11	world	world	NOUN
easat-6182	74	12	situations	situation	NOUN
easat-6182	74	13	.	.	PUNCT
easat-6182	75	1	linear	linear	ADJ
easat-6182	75	2	regression	regression	NOUN
easat-6182	75	3	with	with	ADP
easat-6182	75	4	a	a	DET
easat-6182	75	5	degree	degree	NOUN
easat-6182	75	6	of	of	ADP
easat-6182	75	7	fuzzy	fuzzy	ADJ
easat-6182	75	8	logic	logic	NOUN
easat-6182	75	9	added	add	VERB
easat-6182	75	10	helps	help	VERB
easat-6182	75	11	to	to	PART
easat-6182	75	12	increase	increase	VERB
easat-6182	75	13	the	the	DET
easat-6182	75	14	model	model	NOUN
easat-6182	75	15	's	's	PART
easat-6182	75	16	reliability	reliability	NOUN
easat-6182	75	17	in	in	ADP
easat-6182	75	18	diagnosing	diagnose	VERB
easat-6182	75	19	breast	breast	NOUN
easat-6182	75	20	cancer	cancer	NOUN
easat-6182	75	21	.	.	PUNCT
easat-6182	76	1	petrović	petrović	PROPN
easat-6182	76	2	,	,	PUNCT
easat-6182	76	3	et	et	PROPN
easat-6182	76	4	al	al	PROPN
easat-6182	76	5	.	.	PUNCT
easat-6182	77	1	[	[	X
easat-6182	77	2	12	12	NUM
easat-6182	77	3	]	]	PUNCT
easat-6182	77	4	described	describe	VERB
easat-6182	77	5	how	how	SCONJ
easat-6182	77	6	these	these	DET
easat-6182	77	7	methodologies	methodology	NOUN
easat-6182	77	8	could	could	AUX
easat-6182	77	9	be	be	AUX
easat-6182	77	10	integrated	integrate	VERB
easat-6182	77	11	,	,	PUNCT
easat-6182	77	12	pointing	point	VERB
easat-6182	77	13	out	out	ADP
easat-6182	77	14	,	,	PUNCT
easat-6182	77	15	for	for	ADP
easat-6182	77	16	instance	instance	NOUN
easat-6182	77	17	,	,	PUNCT
easat-6182	77	18	that	that	DET
easat-6182	77	19	fuzzy	fuzzy	ADJ
easat-6182	77	20	logic	logic	NOUN
easat-6182	77	21	could	could	AUX
easat-6182	77	22	be	be	AUX
easat-6182	77	23	utilized	utilize	VERB
easat-6182	77	24	to	to	PART
easat-6182	77	25	address	address	VERB
easat-6182	77	26	uncertainty	uncertainty	NOUN
easat-6182	77	27	while	while	SCONJ
easat-6182	77	28	linear	linear	ADJ
easat-6182	77	29	regression	regression	NOUN
easat-6182	77	30	could	could	AUX
easat-6182	77	31	be	be	AUX
easat-6182	77	32	used	use	VERB
easat-6182	77	33	for	for	ADP
easat-6182	77	34	interpretability	interpretability	NOUN
easat-6182	77	35	;	;	PUNCT
easat-6182	77	36	on	on	ADP
easat-6182	77	37	the	the	DET
easat-6182	77	38	other	other	ADJ
easat-6182	77	39	hand	hand	NOUN
easat-6182	77	40	,	,	PUNCT
easat-6182	77	41	guo	guo	PROPN
easat-6182	77	42	,	,	PUNCT
easat-6182	77	43	et	et	PROPN
easat-6182	77	44	al	al	PROPN
easat-6182	77	45	.	.	PUNCT
easat-6182	78	1	[	[	X
easat-6182	78	2	13	13	NUM
easat-6182	78	3	]	]	PUNCT
easat-6182	78	4	on	on	ADP
easat-6182	78	5	the	the	DET
easat-6182	78	6	other	other	ADJ
easat-6182	78	7	hand	hand	NOUN
easat-6182	78	8	is	be	AUX
easat-6182	78	9	interested	interested	ADJ
easat-6182	78	10	in	in	ADP
easat-6182	78	11	the	the	DET
easat-6182	78	12	application	application	NOUN
easat-6182	78	13	of	of	ADP
easat-6182	78	14	the	the	DET
easat-6182	78	15	synergy	synergy	NOUN
easat-6182	78	16	of	of	ADP
easat-6182	78	17	the	the	DET
easat-6182	78	18	fuzzy	fuzzy	ADJ
easat-6182	78	19	linear	linear	PROPN
easat-6182	78	20	regression	regression	NOUN
easat-6182	78	21	hybrid	hybrid	NOUN
easat-6182	78	22	models	model	NOUN
easat-6182	78	23	where	where	SCONJ
easat-6182	78	24	it	it	PRON
easat-6182	78	25	is	be	AUX
easat-6182	78	26	pointed	point	VERB
easat-6182	78	27	out	out	ADP
easat-6182	78	28	that	that	SCONJ
easat-6182	78	29	it	it	PRON
easat-6182	78	30	leads	lead	VERB
easat-6182	78	31	to	to	ADP
easat-6182	78	32	improvement	improvement	NOUN
easat-6182	78	33	in	in	ADP
easat-6182	78	34	model	model	NOUN
easat-6182	78	35	stability	stability	NOUN
easat-6182	78	36	as	as	ADP
easat-6182	78	37	such	such	ADJ
easat-6182	78	38	,	,	PUNCT
easat-6182	78	39	both	both	DET
easat-6182	78	40	studies	study	NOUN
easat-6182	78	41	support	support	VERB
easat-6182	78	42	the	the	DET
easat-6182	78	43	use	use	NOUN
easat-6182	78	44	of	of	ADP
easat-6182	78	45	the	the	DET
easat-6182	78	46	combination	combination	NOUN
easat-6182	78	47	of	of	ADP
easat-6182	78	48	fuzzy	fuzzy	ADJ
easat-6182	78	49	logic	logic	NOUN
easat-6182	78	50	and	and	CCONJ
easat-6182	78	51	linear	linear	ADJ
easat-6182	78	52	regression	regression	NOUN
easat-6182	78	53	.	.	PUNCT
easat-6182	79	1	however	however	ADV
easat-6182	79	2	,	,	PUNCT
easat-6182	79	3	they	they	PRON
easat-6182	79	4	have	have	VERB
easat-6182	79	5	conceptual	conceptual	ADJ
easat-6182	79	6	differences	difference	NOUN
easat-6182	79	7	in	in	ADP
easat-6182	79	8	their	their	PRON
easat-6182	79	9	methodologies	methodology	NOUN
easat-6182	79	10	.	.	PUNCT
easat-6182	80	1	petrović	petrović	NOUN
easat-6182	80	2	,	,	PUNCT
easat-6182	80	3	et	et	PROPN
easat-6182	80	4	al	al	PROPN
easat-6182	80	5	.	.	PUNCT
easat-6182	81	1	[	[	X
easat-6182	81	2	12	12	NUM
easat-6182	81	3	]	]	PUNCT
easat-6182	81	4	provided	provide	VERB
easat-6182	81	5	a	a	DET
easat-6182	81	6	rationale	rationale	NOUN
easat-6182	81	7	for	for	ADP
easat-6182	81	8	the	the	DET
easat-6182	81	9	integration	integration	NOUN
easat-6182	81	10	,	,	PUNCT
easat-6182	81	11	and	and	CCONJ
easat-6182	81	12	the	the	DET
easat-6182	81	13	authors	author	NOUN
easat-6182	81	14	of	of	ADP
easat-6182	81	15	the	the	DET
easat-6182	81	16	current	current	ADJ
easat-6182	81	17	manuscript	manuscript	NOUN
easat-6182	81	18	make	make	VERB
easat-6182	81	19	the	the	DET
easat-6182	81	20	conceptual	conceptual	ADJ
easat-6182	81	21	claim	claim	NOUN
easat-6182	81	22	for	for	ADP
easat-6182	81	23	integrating	integrate	VERB
easat-6182	81	24	these	these	DET
easat-6182	81	25	approaches	approach	NOUN
easat-6182	81	26	.	.	PUNCT
easat-6182	82	1	however	however	ADV
easat-6182	82	2	,	,	PUNCT
easat-6182	82	3	guo	guo	PROPN
easat-6182	82	4	,	,	PUNCT
easat-6182	82	5	et	et	PROPN
easat-6182	82	6	al	al	PROPN
easat-6182	82	7	.	.	PUNCT
easat-6182	83	1	[	[	X
easat-6182	83	2	13	13	NUM
easat-6182	83	3	]	]	PUNCT
easat-6182	83	4	provided	provide	VERB
easat-6182	83	5	concrete	concrete	ADJ
easat-6182	83	6	figures	figure	NOUN
easat-6182	83	7	on	on	ADP
easat-6182	83	8	how	how	SCONJ
easat-6182	83	9	much	much	ADJ
easat-6182	83	10	a	a	DET
easat-6182	83	11	hybrid	hybrid	ADJ
easat-6182	83	12	model	model	NOUN
easat-6182	83	13	increases	increase	VERB
easat-6182	83	14	predictive	predictive	ADJ
easat-6182	83	15	efficiency	efficiency	NOUN
easat-6182	83	16	.	.	PUNCT
easat-6182	84	1	in	in	ADP
easat-6182	84	2	addition	addition	NOUN
easat-6182	84	3	to	to	ADP
easat-6182	84	4	this	this	PRON
easat-6182	84	5	,	,	PUNCT
easat-6182	84	6	the	the	DET
easat-6182	84	7	author	author	NOUN
easat-6182	84	8	also	also	ADV
easat-6182	84	9	fixed	fix	VERB
easat-6182	84	10	the	the	DET
easat-6182	84	11	hybrid	hybrid	NOUN
easat-6182	84	12	models	model	NOUN
easat-6182	84	13	against	against	ADP
easat-6182	84	14	linear	linear	ADJ
easat-6182	84	15	regression	regression	NOUN
easat-6182	84	16	to	to	PART
easat-6182	84	17	demonstrate	demonstrate	VERB
easat-6182	84	18	a	a	DET
easat-6182	84	19	comparable	comparable	ADJ
easat-6182	84	20	1104	1104	NUM
easat-6182	84	21	edelweiss	edelweiss	PROPN
easat-6182	84	22	applied	apply	VERB
easat-6182	84	23	science	science	NOUN
easat-6182	84	24	and	and	CCONJ
easat-6182	84	25	technology	technology	NOUN
easat-6182	84	26	issn	issn	PROPN
easat-6182	84	27	:	:	PUNCT
easat-6182	84	28	2576	2576	NUM
easat-6182	84	29	-	-	SYM
easat-6182	84	30	8484	8484	NUM
easat-6182	84	31	vol	vol	NOUN
easat-6182	84	32	.	.	PROPN
easat-6182	85	1	9	9	NUM
easat-6182	85	2	,	,	PUNCT
easat-6182	85	3	no	no	INTJ
easat-6182	85	4	.	.	NOUN
easat-6182	85	5	4	4	NUM
easat-6182	85	6	:	:	PUNCT
easat-6182	85	7	1101	1101	NUM
easat-6182	85	8	-	-	PUNCT
easat-6182	85	9	1109	1109	NUM
easat-6182	85	10	,	,	PUNCT
easat-6182	85	11	2025	2025	NUM
easat-6182	85	12	doi	doi	NOUN
easat-6182	85	13	:	:	PUNCT
easat-6182	85	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	85	15	©	©	PROPN
easat-6182	85	16	2025	2025	NUM
easat-6182	85	17	by	by	ADP
easat-6182	85	18	the	the	DET
easat-6182	85	19	authors	author	NOUN
easat-6182	85	20	;	;	PUNCT
easat-6182	85	21	licensee	licensee	PROPN
easat-6182	85	22	learning	learn	VERB
easat-6182	85	23	gate	gate	NOUN
easat-6182	85	24	increase	increase	NOUN
easat-6182	85	25	in	in	ADP
easat-6182	85	26	both	both	DET
easat-6182	85	27	accuracy	accuracy	NOUN
easat-6182	85	28	and	and	CCONJ
easat-6182	85	29	recall	recall	NOUN
easat-6182	85	30	,	,	PUNCT
easat-6182	85	31	consequently	consequently	ADV
easat-6182	85	32	proving	prove	VERB
easat-6182	85	33	not	not	PART
easat-6182	85	34	only	only	ADV
easat-6182	85	35	an	an	DET
easat-6182	85	36	enhancement	enhancement	NOUN
easat-6182	85	37	in	in	ADP
easat-6182	85	38	the	the	DET
easat-6182	85	39	predictive	predictive	ADJ
easat-6182	85	40	ability	ability	NOUN
easat-6182	85	41	but	but	CCONJ
easat-6182	85	42	also	also	ADV
easat-6182	85	43	the	the	DET
easat-6182	85	44	alleviation	alleviation	NOUN
easat-6182	85	45	of	of	ADP
easat-6182	85	46	some	some	PRON
easat-6182	85	47	of	of	ADP
easat-6182	85	48	the	the	DET
easat-6182	85	49	disadvantages	disadvantage	NOUN
easat-6182	85	50	occasioned	occasion	VERB
easat-6182	85	51	by	by	ADP
easat-6182	85	52	the	the	DET
easat-6182	85	53	applicability	applicability	NOUN
easat-6182	85	54	of	of	ADP
easat-6182	85	55	linear	linear	PROPN
easat-6182	85	56	regression	regression	NOUN
easat-6182	85	57	alone	alone	ADV
easat-6182	85	58	[	[	X
easat-6182	85	59	13	13	NUM
easat-6182	85	60	]	]	PUNCT
easat-6182	85	61	consequently	consequently	ADV
easat-6182	85	62	,	,	PUNCT
easat-6182	85	63	the	the	DET
easat-6182	85	64	utilization	utilization	NOUN
easat-6182	85	65	of	of	ADP
easat-6182	85	66	fuzzy	fuzzy	ADJ
easat-6182	85	67	logic	logic	NOUN
easat-6182	85	68	and	and	CCONJ
easat-6182	85	69	linear	linear	ADJ
easat-6182	85	70	regression	regression	NOUN
easat-6182	85	71	is	be	AUX
easat-6182	85	72	a	a	DET
easat-6182	85	73	promising	promising	ADJ
easat-6182	85	74	way	way	NOUN
easat-6182	85	75	to	to	PART
easat-6182	85	76	develop	develop	VERB
easat-6182	85	77	the	the	DET
easat-6182	85	78	existing	exist	VERB
easat-6182	85	79	state	state	NOUN
easat-6182	85	80	of	of	ADP
easat-6182	85	81	breast	breast	NOUN
easat-6182	85	82	cancer	cancer	NOUN
easat-6182	85	83	detection	detection	NOUN
easat-6182	85	84	further	far	ADV
easat-6182	85	85	.	.	PUNCT
easat-6182	86	1	integrated	integrate	VERB
easat-6182	86	2	approaches	approach	NOUN
easat-6182	86	3	would	would	AUX
easat-6182	86	4	present	present	VERB
easat-6182	86	5	better	well	ADJ
easat-6182	86	6	models	model	NOUN
easat-6182	86	7	and	and	CCONJ
easat-6182	86	8	diagnostic	diagnostic	ADJ
easat-6182	86	9	tools	tool	NOUN
easat-6182	86	10	because	because	SCONJ
easat-6182	86	11	the	the	DET
easat-6182	86	12	two	two	NUM
easat-6182	86	13	integration	integration	NOUN
easat-6182	86	14	strategies	strategy	NOUN
easat-6182	86	15	are	be	AUX
easat-6182	86	16	harmonious	harmonious	ADJ
easat-6182	86	17	.	.	PUNCT
easat-6182	87	1	these	these	DET
easat-6182	87	2	differences	difference	NOUN
easat-6182	87	3	in	in	ADP
easat-6182	87	4	focus	focus	NOUN
easat-6182	87	5	imply	imply	VERB
easat-6182	87	6	that	that	SCONJ
easat-6182	87	7	there	there	PRON
easat-6182	87	8	is	be	VERB
easat-6182	87	9	a	a	DET
easat-6182	87	10	need	need	NOUN
easat-6182	87	11	for	for	ADP
easat-6182	87	12	practical	practical	ADJ
easat-6182	87	13	validation	validation	NOUN
easat-6182	87	14	of	of	ADP
easat-6182	87	15	this	this	DET
easat-6182	87	16	integration	integration	NOUN
easat-6182	87	17	besides	besides	SCONJ
easat-6182	87	18	rationality	rationality	NOUN
easat-6182	87	19	in	in	ADP
easat-6182	87	20	building	build	VERB
easat-6182	87	21	this	this	DET
easat-6182	87	22	integration	integration	NOUN
easat-6182	87	23	and	and	CCONJ
easat-6182	87	24	the	the	DET
easat-6182	87	25	capacity	capacity	NOUN
easat-6182	87	26	of	of	ADP
easat-6182	87	27	such	such	ADJ
easat-6182	87	28	hybrid	hybrid	ADJ
easat-6182	87	29	techniques	technique	NOUN
easat-6182	87	30	to	to	PART
easat-6182	87	31	offer	offer	VERB
easat-6182	87	32	better	well	ADJ
easat-6182	87	33	results	result	NOUN
easat-6182	87	34	than	than	ADP
easat-6182	87	35	purely	purely	ADV
easat-6182	87	36	classical	classical	ADJ
easat-6182	87	37	methods	method	NOUN
easat-6182	87	38	.	.	PUNCT
easat-6182	88	1	3	3	X
easat-6182	88	2	.	.	X
easat-6182	88	3	limitations	limitation	NOUN
easat-6182	88	4	of	of	ADP
easat-6182	88	5	linear	linear	ADJ
easat-6182	88	6	regression	regression	NOUN
easat-6182	88	7	and	and	CCONJ
easat-6182	88	8	fuzzy	fuzzy	ADJ
easat-6182	88	9	logic	logic	NOUN
easat-6182	88	10	several	several	ADJ
easat-6182	88	11	issues	issue	NOUN
easat-6182	88	12	arise	arise	VERB
easat-6182	88	13	about	about	ADP
easat-6182	88	14	its	its	PRON
easat-6182	88	15	relevance	relevance	NOUN
easat-6182	88	16	and	and	CCONJ
easat-6182	88	17	limitations	limitation	NOUN
easat-6182	88	18	offered	offer	VERB
easat-6182	88	19	by	by	ADP
easat-6182	88	20	linear	linear	ADJ
easat-6182	88	21	regression	regression	NOUN
easat-6182	88	22	and	and	CCONJ
easat-6182	88	23	fuzzy	fuzzy	ADJ
easat-6182	88	24	logic	logic	NOUN
easat-6182	88	25	.	.	PUNCT
easat-6182	89	1	discussing	discuss	VERB
easat-6182	89	2	the	the	DET
easat-6182	89	3	methods	method	NOUN
easat-6182	89	4	for	for	ADP
easat-6182	89	5	detecting	detect	VERB
easat-6182	89	6	breast	breast	NOUN
easat-6182	89	7	cancer	cancer	NOUN
easat-6182	89	8	,	,	PUNCT
easat-6182	89	9	the	the	DET
easat-6182	89	10	results	result	NOUN
easat-6182	89	11	presented	present	VERB
easat-6182	89	12	come	come	VERB
easat-6182	89	13	with	with	ADP
easat-6182	89	14	disappointments	disappointment	NOUN
easat-6182	89	15	that	that	PRON
easat-6182	89	16	a	a	DET
easat-6182	89	17	researcher	researcher	NOUN
easat-6182	89	18	can	can	AUX
easat-6182	89	19	not	not	PART
easat-6182	89	20	help	help	VERB
easat-6182	89	21	but	but	CCONJ
easat-6182	89	22	encounter	encounter	VERB
easat-6182	89	23	.	.	PUNCT
easat-6182	90	1	some	some	DET
easat-6182	90	2	claim	claim	VERB
easat-6182	90	3	that	that	SCONJ
easat-6182	90	4	while	while	SCONJ
easat-6182	90	5	linear	linear	ADJ
easat-6182	90	6	regression	regression	NOUN
easat-6182	90	7	is	be	AUX
easat-6182	90	8	helpful	helpful	ADJ
easat-6182	90	9	in	in	ADP
easat-6182	90	10	gaining	gain	VERB
easat-6182	90	11	some	some	DET
easat-6182	90	12	basic	basic	ADJ
easat-6182	90	13	introduction	introduction	NOUN
easat-6182	90	14	,	,	PUNCT
easat-6182	90	15	the	the	DET
easat-6182	90	16	model	model	NOUN
easat-6182	90	17	deteriorates	deteriorate	VERB
easat-6182	90	18	when	when	SCONJ
easat-6182	90	19	there	there	PRON
easat-6182	90	20	are	be	VERB
easat-6182	90	21	multiple	multiple	ADJ
easat-6182	90	22	interactions	interaction	NOUN
easat-6182	90	23	between	between	ADP
easat-6182	90	24	predictors	predictor	NOUN
easat-6182	90	25	.	.	PUNCT
easat-6182	91	1	also	also	ADV
easat-6182	91	2	,	,	PUNCT
easat-6182	91	3	xu	xu	INTJ
easat-6182	91	4	,	,	PUNCT
easat-6182	91	5	et	et	PROPN
easat-6182	91	6	al	al	PROPN
easat-6182	91	7	.	.	PUNCT
easat-6182	92	1	[	[	X
easat-6182	92	2	14	14	NUM
easat-6182	92	3	]	]	PUNCT
easat-6182	92	4	elaborate	elaborate	VERB
easat-6182	92	5	the	the	DET
easat-6182	92	6	same	same	ADJ
easat-6182	92	7	,	,	PUNCT
easat-6182	92	8	asserting	assert	VERB
easat-6182	92	9	that	that	SCONJ
easat-6182	92	10	linear	linear	ADJ
easat-6182	92	11	regression	regression	NOUN
easat-6182	92	12	is	be	AUX
easat-6182	92	13	as	as	ADV
easat-6182	92	14	basic	basic	ADJ
easat-6182	92	15	as	as	SCONJ
easat-6182	92	16	it	it	PRON
easat-6182	92	17	gets	get	VERB
easat-6182	92	18	yet	yet	ADV
easat-6182	92	19	utterly	utterly	ADV
easat-6182	92	20	incapable	incapable	ADJ
easat-6182	92	21	of	of	ADP
easat-6182	92	22	predicting	predict	VERB
easat-6182	92	23	medical	medical	ADJ
easat-6182	92	24	data	datum	NOUN
easat-6182	92	25	.	.	PUNCT
easat-6182	93	1	besides	besides	SCONJ
easat-6182	93	2	that	that	PRON
easat-6182	93	3	,	,	PUNCT
easat-6182	93	4	they	they	PRON
easat-6182	93	5	also	also	ADV
easat-6182	93	6	find	find	VERB
easat-6182	93	7	that	that	SCONJ
easat-6182	93	8	linear	linear	ADJ
easat-6182	93	9	regression	regression	NOUN
easat-6182	93	10	could	could	AUX
easat-6182	93	11	lead	lead	VERB
easat-6182	93	12	to	to	ADP
easat-6182	93	13	inaccurate	inaccurate	ADJ
easat-6182	93	14	outcomes	outcome	NOUN
easat-6182	93	15	should	should	AUX
easat-6182	93	16	there	there	PRON
easat-6182	93	17	be	be	AUX
easat-6182	93	18	significant	significant	ADJ
easat-6182	93	19	outliers	outlier	NOUN
easat-6182	93	20	or	or	CCONJ
easat-6182	93	21	a	a	DET
easat-6182	93	22	skewed	skewed	ADJ
easat-6182	93	23	data	datum	NOUN
easat-6182	93	24	set	set	VERB
easat-6182	93	25	.	.	PUNCT
easat-6182	94	1	conversely	conversely	ADV
easat-6182	94	2	,	,	PUNCT
easat-6182	94	3	wang	wang	PROPN
easat-6182	94	4	,	,	PUNCT
easat-6182	94	5	et	et	PROPN
easat-6182	94	6	al	al	PROPN
easat-6182	94	7	.	.	PUNCT
easat-6182	95	1	[	[	X
easat-6182	95	2	9	9	NUM
easat-6182	95	3	]	]	PUNCT
easat-6182	95	4	provide	provide	VERB
easat-6182	95	5	a	a	DET
easat-6182	95	6	means	mean	NOUN
easat-6182	95	7	for	for	ADP
easat-6182	95	8	managing	manage	VERB
easat-6182	95	9	some	some	PRON
easat-6182	95	10	of	of	ADP
easat-6182	95	11	the	the	DET
easat-6182	95	12	vices	vice	NOUN
easat-6182	95	13	observed	observe	VERB
easat-6182	95	14	when	when	SCONJ
easat-6182	95	15	performing	perform	VERB
easat-6182	95	16	linear	linear	ADJ
easat-6182	95	17	regression	regression	NOUN
easat-6182	95	18	.	.	PUNCT
easat-6182	96	1	it	it	PRON
easat-6182	96	2	is	be	AUX
easat-6182	96	3	not	not	PART
easat-6182	96	4	an	an	DET
easat-6182	96	5	easy	easy	ADJ
easat-6182	96	6	task	task	NOUN
easat-6182	96	7	.	.	PUNCT
easat-6182	97	1	another	another	DET
easat-6182	97	2	critical	critical	ADJ
easat-6182	97	3	argument	argument	NOUN
easat-6182	97	4	presented	present	VERB
easat-6182	97	5	is	be	AUX
easat-6182	97	6	that	that	PRON
easat-6182	97	7	fuzzy	fuzzy	ADJ
easat-6182	97	8	logic	logic	NOUN
easat-6182	97	9	systems	system	NOUN
easat-6182	97	10	depend	depend	VERB
easat-6182	97	11	on	on	ADP
easat-6182	97	12	the	the	DET
easat-6182	97	13	degree	degree	NOUN
easat-6182	97	14	of	of	ADP
easat-6182	97	15	accuracy	accuracy	NOUN
easat-6182	97	16	defining	define	VERB
easat-6182	97	17	membership	membership	NOUN
easat-6182	97	18	functions	function	NOUN
easat-6182	97	19	and	and	CCONJ
easat-6182	97	20	employing	employ	VERB
easat-6182	97	21	them	they	PRON
easat-6182	97	22	is	be	AUX
easat-6182	97	23	very	very	ADV
easat-6182	97	24	much	much	ADV
easat-6182	97	25	like	like	ADP
easat-6182	97	26	being	be	AUX
easat-6182	97	27	an	an	DET
easat-6182	97	28	expert	expert	NOUN
easat-6182	97	29	[	[	X
easat-6182	97	30	14	14	NUM
easat-6182	97	31	]	]	PUNCT
easat-6182	97	32	furthermore	furthermore	ADV
easat-6182	97	33	,	,	PUNCT
easat-6182	97	34	one	one	PRON
easat-6182	97	35	must	must	AUX
easat-6182	97	36	pay	pay	VERB
easat-6182	97	37	attention	attention	NOUN
easat-6182	97	38	to	to	ADP
easat-6182	97	39	the	the	DET
easat-6182	97	40	fact	fact	NOUN
easat-6182	97	41	that	that	SCONJ
easat-6182	97	42	the	the	DET
easat-6182	97	43	results	result	NOUN
easat-6182	97	44	obtained	obtain	VERB
easat-6182	97	45	through	through	ADP
easat-6182	97	46	the	the	DET
easat-6182	97	47	identification	identification	NOUN
easat-6182	97	48	and	and	CCONJ
easat-6182	97	49	usage	usage	NOUN
easat-6182	97	50	of	of	ADP
easat-6182	97	51	the	the	DET
easat-6182	97	52	structure	structure	NOUN
easat-6182	97	53	of	of	ADP
easat-6182	97	54	fuzzy	fuzzy	ADJ
easat-6182	97	55	models	model	NOUN
easat-6182	97	56	depend	depend	VERB
easat-6182	97	57	on	on	ADP
easat-6182	97	58	the	the	DET
easat-6182	97	59	quality	quality	NOUN
easat-6182	97	60	of	of	ADP
easat-6182	97	61	input	input	NOUN
easat-6182	97	62	information	information	NOUN
easat-6182	97	63	,	,	PUNCT
easat-6182	97	64	which	which	PRON
easat-6182	97	65	proves	prove	VERB
easat-6182	97	66	the	the	DET
easat-6182	97	67	exceptional	exceptional	ADJ
easat-6182	97	68	significance	significance	NOUN
easat-6182	97	69	of	of	ADP
easat-6182	97	70	data	datum	NOUN
easat-6182	97	71	correction	correction	NOUN
easat-6182	97	72	and	and	CCONJ
easat-6182	97	73	management	management	NOUN
easat-6182	97	74	.	.	PUNCT
easat-6182	98	1	a	a	DET
easat-6182	98	2	comparative	comparative	ADJ
easat-6182	98	3	analysis	analysis	NOUN
easat-6182	98	4	by	by	ADP
easat-6182	98	5	silva	silva	NOUN
easat-6182	98	6	araújo	araújo	PROPN
easat-6182	98	7	,	,	PUNCT
easat-6182	98	8	et	et	PROPN
easat-6182	98	9	al	al	PROPN
easat-6182	98	10	.	.	PUNCT
easat-6182	99	1	[	[	X
easat-6182	99	2	15	15	NUM
easat-6182	99	3	]	]	PUNCT
easat-6182	99	4	suggests	suggest	VERB
easat-6182	99	5	that	that	SCONJ
easat-6182	99	6	the	the	DET
easat-6182	99	7	usage	usage	NOUN
easat-6182	99	8	of	of	ADP
easat-6182	99	9	fuzzy	fuzzy	ADJ
easat-6182	99	10	logic	logic	NOUN
easat-6182	99	11	can	can	AUX
easat-6182	99	12	be	be	AUX
easat-6182	99	13	more	more	ADV
easat-6182	99	14	precise	precise	ADJ
easat-6182	99	15	and	and	CCONJ
easat-6182	99	16	recall	recall	VERB
easat-6182	99	17	a	a	DET
easat-6182	99	18	higher	high	ADJ
easat-6182	99	19	number	number	NOUN
easat-6182	99	20	of	of	ADP
easat-6182	99	21	cases	case	NOUN
easat-6182	99	22	than	than	ADP
easat-6182	99	23	a	a	DET
easat-6182	99	24	linear	linear	ADJ
easat-6182	99	25	regression	regression	NOUN
easat-6182	99	26	model	model	NOUN
easat-6182	99	27	,	,	PUNCT
easat-6182	99	28	thus	thus	ADV
easat-6182	99	29	noting	note	VERB
easat-6182	99	30	that	that	SCONJ
easat-6182	99	31	the	the	DET
easat-6182	99	32	process	process	NOUN
easat-6182	99	33	of	of	ADP
easat-6182	99	34	applying	apply	VERB
easat-6182	99	35	the	the	DET
easat-6182	99	36	fuzzy	fuzzy	ADJ
easat-6182	99	37	system	system	NOUN
easat-6182	99	38	can	can	AUX
easat-6182	99	39	be	be	AUX
easat-6182	99	40	complicated	complicate	VERB
easat-6182	99	41	due	due	ADP
easat-6182	99	42	to	to	ADP
easat-6182	99	43	the	the	DET
easat-6182	99	44	system	system	NOUN
easat-6182	99	45	's	's	PART
easat-6182	99	46	complexity	complexity	NOUN
easat-6182	99	47	,	,	PUNCT
easat-6182	99	48	as	as	ADV
easat-6182	99	49	well	well	ADV
easat-6182	99	50	as	as	ADP
easat-6182	99	51	not	not	PART
easat-6182	99	52	so	so	ADV
easat-6182	99	53	suitable	suitable	ADJ
easat-6182	99	54	for	for	ADP
easat-6182	99	55	the	the	DET
easat-6182	99	56	clinical	clinical	ADJ
easat-6182	99	57	setting	setting	NOUN
easat-6182	99	58	.	.	PUNCT
easat-6182	100	1	these	these	DET
easat-6182	100	2	differences	difference	NOUN
easat-6182	100	3	in	in	ADP
easat-6182	100	4	applicability	applicability	NOUN
easat-6182	100	5	indicate	indicate	VERB
easat-6182	100	6	that	that	SCONJ
easat-6182	100	7	a	a	DET
easat-6182	100	8	combination	combination	NOUN
easat-6182	100	9	of	of	ADP
easat-6182	100	10	these	these	DET
easat-6182	100	11	approaches	approach	NOUN
easat-6182	100	12	may	may	AUX
easat-6182	100	13	be	be	AUX
easat-6182	100	14	required	require	VERB
easat-6182	100	15	in	in	ADP
easat-6182	100	16	order	order	NOUN
easat-6182	100	17	to	to	PART
easat-6182	100	18	get	get	VERB
easat-6182	100	19	the	the	DET
easat-6182	100	20	best	good	ADJ
easat-6182	100	21	of	of	ADP
easat-6182	100	22	both	both	DET
easat-6182	100	23	methodologies	methodology	NOUN
easat-6182	100	24	without	without	ADP
easat-6182	100	25	the	the	DET
easat-6182	100	26	pitfalls	pitfall	NOUN
easat-6182	100	27	.	.	PUNCT
easat-6182	101	1	for	for	ADP
easat-6182	101	2	example	example	NOUN
easat-6182	101	3	,	,	PUNCT
easat-6182	101	4	they	they	PRON
easat-6182	101	5	improve	improve	VERB
easat-6182	101	6	the	the	DET
easat-6182	101	7	input	input	NOUN
easat-6182	101	8	variables	variable	NOUN
easat-6182	101	9	by	by	ADP
easat-6182	101	10	using	use	VERB
easat-6182	101	11	fuzzy	fuzzy	ADJ
easat-6182	101	12	logic	logic	NOUN
easat-6182	101	13	to	to	PART
easat-6182	101	14	make	make	VERB
easat-6182	101	15	some	some	DET
easat-6182	101	16	linear	linear	ADJ
easat-6182	101	17	regression	regression	NOUN
easat-6182	101	18	models	model	NOUN
easat-6182	101	19	more	more	ADV
easat-6182	101	20	accurate	accurate	ADJ
easat-6182	101	21	while	while	SCONJ
easat-6182	101	22	maintaining	maintain	VERB
easat-6182	101	23	their	their	PRON
easat-6182	101	24	interpretability	interpretability	NOUN
easat-6182	101	25	.	.	PUNCT
easat-6182	102	1	therefore	therefore	ADV
easat-6182	102	2	,	,	PUNCT
easat-6182	102	3	even	even	ADV
easat-6182	102	4	though	though	SCONJ
easat-6182	102	5	linear	linear	ADJ
easat-6182	102	6	regression	regression	NOUN
easat-6182	102	7	and	and	CCONJ
easat-6182	102	8	fuzzy	fuzzy	ADJ
easat-6182	102	9	logic	logic	NOUN
easat-6182	102	10	can	can	AUX
easat-6182	102	11	be	be	AUX
easat-6182	102	12	used	use	VERB
easat-6182	102	13	for	for	ADP
easat-6182	102	14	breast	breast	NOUN
easat-6182	102	15	cancer	cancer	NOUN
easat-6182	102	16	detection	detection	NOUN
easat-6182	102	17	,	,	PUNCT
easat-6182	102	18	their	their	PRON
easat-6182	102	19	drawbacks	drawback	NOUN
easat-6182	102	20	must	must	AUX
easat-6182	102	21	be	be	AUX
easat-6182	102	22	considered	consider	VERB
easat-6182	102	23	.	.	PUNCT
easat-6182	103	1	these	these	DET
easat-6182	103	2	findings	finding	NOUN
easat-6182	103	3	indicate	indicate	VERB
easat-6182	103	4	that	that	SCONJ
easat-6182	103	5	combined	combine	VERB
easat-6182	103	6	approaches	approach	NOUN
easat-6182	103	7	may	may	AUX
easat-6182	103	8	be	be	AUX
easat-6182	103	9	more	more	ADV
easat-6182	103	10	effective	effective	ADJ
easat-6182	103	11	for	for	ADP
easat-6182	103	12	dealing	deal	VERB
easat-6182	103	13	with	with	ADP
easat-6182	103	14	medical	medical	ADJ
easat-6182	103	15	data	datum	NOUN
easat-6182	103	16	complexity	complexity	NOUN
easat-6182	103	17	and	and	CCONJ
easat-6182	103	18	enhancing	enhance	VERB
easat-6182	103	19	diagnosis	diagnosis	NOUN
easat-6182	103	20	.	.	PUNCT
easat-6182	104	1	further	further	ADJ
easat-6182	104	2	work	work	NOUN
easat-6182	104	3	should	should	AUX
easat-6182	104	4	be	be	AUX
easat-6182	104	5	aimed	aim	VERB
easat-6182	104	6	at	at	ADP
easat-6182	104	7	creating	create	VERB
easat-6182	104	8	the	the	DET
easat-6182	104	9	theory	theory	NOUN
easat-6182	104	10	for	for	ADP
easat-6182	104	11	modelling	modelling	NOUN
easat-6182	104	12	using	use	VERB
easat-6182	104	13	a	a	DET
easat-6182	104	14	linear	linear	ADJ
easat-6182	104	15	regression	regression	NOUN
easat-6182	104	16	approach	approach	NOUN
easat-6182	104	17	with	with	ADP
easat-6182	104	18	elements	element	NOUN
easat-6182	104	19	of	of	ADP
easat-6182	104	20	fuzzy	fuzzy	ADJ
easat-6182	104	21	logic	logic	NOUN
easat-6182	104	22	.	.	PUNCT
easat-6182	105	1	4	4	X
easat-6182	105	2	.	.	X
easat-6182	105	3	application	application	NOUN
easat-6182	105	4	of	of	ADP
easat-6182	105	5	linear	linear	ADJ
easat-6182	105	6	regression	regression	NOUN
easat-6182	105	7	in	in	ADP
easat-6182	105	8	breast	breast	NOUN
easat-6182	105	9	cancer	cancer	NOUN
easat-6182	105	10	detection	detection	NOUN
easat-6182	105	11	linear	linear	NOUN
easat-6182	105	12	regression	regression	NOUN
easat-6182	105	13	is	be	AUX
easat-6182	105	14	one	one	NUM
easat-6182	105	15	of	of	ADP
easat-6182	105	16	the	the	DET
easat-6182	105	17	most	most	ADV
easat-6182	105	18	important	important	ADJ
easat-6182	105	19	tools	tool	NOUN
easat-6182	105	20	for	for	ADP
easat-6182	105	21	making	make	VERB
easat-6182	105	22	predictions	prediction	NOUN
easat-6182	105	23	in	in	ADP
easat-6182	105	24	statistics	statistic	NOUN
easat-6182	105	25	and	and	CCONJ
easat-6182	105	26	the	the	DET
easat-6182	105	27	most	most	ADV
easat-6182	105	28	popular	popular	ADJ
easat-6182	105	29	method	method	NOUN
easat-6182	105	30	of	of	ADP
easat-6182	105	31	regression	regression	NOUN
easat-6182	105	32	analysis	analysis	NOUN
easat-6182	105	33	.	.	PUNCT
easat-6182	106	1	it	it	PRON
easat-6182	106	2	helps	help	VERB
easat-6182	106	3	explain	explain	VERB
easat-6182	106	4	the	the	DET
easat-6182	106	5	relationship	relationship	NOUN
easat-6182	106	6	between	between	ADP
easat-6182	106	7	certain	certain	ADJ
easat-6182	106	8	diagnostic	diagnostic	ADJ
easat-6182	106	9	features	feature	NOUN
easat-6182	106	10	of	of	ADP
easat-6182	106	11	the	the	DET
easat-6182	106	12	tumour	tumour	NOUN
easat-6182	106	13	–	–	PUNCT
easat-6182	106	14	size	size	NOUN
easat-6182	106	15	,	,	PUNCT
easat-6182	106	16	texture	texture	NOUN
easat-6182	106	17	,	,	PUNCT
easat-6182	106	18	shape	shape	NOUN
easat-6182	106	19	,	,	PUNCT
easat-6182	106	20	and	and	CCONJ
easat-6182	106	21	possibility	possibility	NOUN
easat-6182	106	22	of	of	ADP
easat-6182	106	23	the	the	DET
easat-6182	106	24	tumour	tumour	NOUN
easat-6182	106	25	being	be	AUX
easat-6182	106	26	malignant	malignant	ADJ
easat-6182	106	27	when	when	SCONJ
easat-6182	106	28	applied	apply	VERB
easat-6182	106	29	to	to	ADP
easat-6182	106	30	the	the	DET
easat-6182	106	31	detection	detection	NOUN
easat-6182	106	32	of	of	ADP
easat-6182	106	33	breast	breast	NOUN
easat-6182	106	34	cancer	cancer	NOUN
easat-6182	106	35	.	.	PUNCT
easat-6182	107	1	for	for	ADP
easat-6182	107	2	example	example	NOUN
easat-6182	107	3	,	,	PUNCT
easat-6182	107	4	a	a	DET
easat-6182	107	5	linear	linear	ADJ
easat-6182	107	6	regression	regression	NOUN
easat-6182	107	7	may	may	AUX
easat-6182	107	8	recommend	recommend	VERB
easat-6182	107	9	the	the	DET
easat-6182	107	10	probability	probability	NOUN
easat-6182	107	11	of	of	ADP
easat-6182	107	12	breast	breast	NOUN
easat-6182	107	13	cancer	cancer	NOUN
easat-6182	107	14	given	give	VERB
easat-6182	107	15	the	the	DET
easat-6182	107	16	size	size	NOUN
easat-6182	107	17	of	of	ADP
easat-6182	107	18	the	the	DET
easat-6182	107	19	tumour	tumour	NOUN
easat-6182	107	20	,	,	PUNCT
easat-6182	107	21	the	the	DET
easat-6182	107	22	age	age	NOUN
easat-6182	107	23	of	of	ADP
easat-6182	107	24	the	the	DET
easat-6182	107	25	patient	patient	NOUN
easat-6182	107	26	,	,	PUNCT
easat-6182	107	27	and	and	CCONJ
easat-6182	107	28	her	her	PRON
easat-6182	107	29	hormonal	hormonal	ADJ
easat-6182	107	30	status	status	NOUN
easat-6182	107	31	if	if	SCONJ
easat-6182	107	32	she	she	PRON
easat-6182	107	33	is	be	AUX
easat-6182	107	34	a	a	DET
easat-6182	107	35	female	female	NOUN
easat-6182	107	36	.	.	PUNCT
easat-6182	108	1	as	as	SCONJ
easat-6182	108	2	mentioned	mention	VERB
easat-6182	108	3	,	,	PUNCT
easat-6182	108	4	ordinary	ordinary	ADJ
easat-6182	108	5	least	least	ADJ
easat-6182	108	6	square	square	ADJ
easat-6182	108	7	linear	linear	ADJ
easat-6182	108	8	regression	regression	NOUN
easat-6182	108	9	is	be	AUX
easat-6182	108	10	primarily	primarily	ADV
easat-6182	108	11	used	use	VERB
easat-6182	108	12	with	with	ADP
easat-6182	108	13	continuous	continuous	ADJ
easat-6182	108	14	data	datum	NOUN
easat-6182	108	15	.	.	PUNCT
easat-6182	109	1	however	however	ADV
easat-6182	109	2	,	,	PUNCT
easat-6182	109	3	it	it	PRON
easat-6182	109	4	can	can	AUX
easat-6182	109	5	be	be	AUX
easat-6182	109	6	employed	employ	VERB
easat-6182	109	7	for	for	ADP
easat-6182	109	8	such	such	ADJ
easat-6182	109	9	assignments	assignment	NOUN
easat-6182	109	10	as	as	ADP
easat-6182	109	11	breast	breast	NOUN
easat-6182	109	12	tumour	tumour	NOUN
easat-6182	109	13	diagnosis	diagnosis	NOUN
easat-6182	109	14	where	where	SCONJ
easat-6182	109	15	some	some	DET
easat-6182	109	16	predefined	predefine	VERB
easat-6182	109	17	threshold	threshold	NOUN
easat-6182	109	18	other	other	ADJ
easat-6182	109	19	than	than	ADP
easat-6182	109	20	zero	zero	NUM
easat-6182	109	21	has	have	AUX
easat-6182	109	22	been	be	AUX
easat-6182	109	23	obtained	obtain	VERB
easat-6182	109	24	for	for	ADP
easat-6182	109	25	distinguishing	distinguish	VERB
easat-6182	109	26	between	between	ADP
easat-6182	109	27	malignant	malignant	ADJ
easat-6182	109	28	and	and	CCONJ
easat-6182	109	29	benign	benign	ADJ
easat-6182	109	30	tumour	tumour	ADJ
easat-6182	109	31	volumes	volume	NOUN
easat-6182	109	32	.	.	PUNCT
easat-6182	110	1	applications	application	NOUN
easat-6182	110	2	of	of	ADP
easat-6182	110	3	linear	linear	ADJ
easat-6182	110	4	regression	regression	NOUN
easat-6182	110	5	in	in	ADP
easat-6182	110	6	breast	breast	NOUN
easat-6182	110	7	cancer	cancer	NOUN
easat-6182	110	8	can	can	AUX
easat-6182	110	9	be	be	AUX
easat-6182	110	10	seen	see	VERB
easat-6182	110	11	in	in	ADP
easat-6182	110	12	figure	figure	NOUN
easat-6182	110	13	2	2	NUM
easat-6182	110	14	.	.	NOUN
easat-6182	110	15	1105	1105	NUM
easat-6182	110	16	edelweiss	edelweiss	PROPN
easat-6182	110	17	applied	apply	VERB
easat-6182	110	18	science	science	NOUN
easat-6182	110	19	and	and	CCONJ
easat-6182	110	20	technology	technology	NOUN
easat-6182	110	21	issn	issn	PROPN
easat-6182	110	22	:	:	PUNCT
easat-6182	110	23	2576	2576	NUM
easat-6182	110	24	-	-	SYM
easat-6182	110	25	8484	8484	NUM
easat-6182	110	26	vol	vol	NOUN
easat-6182	110	27	.	.	PROPN
easat-6182	111	1	9	9	NUM
easat-6182	111	2	,	,	PUNCT
easat-6182	111	3	no	no	INTJ
easat-6182	111	4	.	.	NOUN
easat-6182	111	5	4	4	NUM
easat-6182	111	6	:	:	PUNCT
easat-6182	111	7	1101	1101	NUM
easat-6182	111	8	-	-	PUNCT
easat-6182	111	9	1109	1109	NUM
easat-6182	111	10	,	,	PUNCT
easat-6182	111	11	2025	2025	NUM
easat-6182	111	12	doi	doi	NOUN
easat-6182	111	13	:	:	PUNCT
easat-6182	111	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	111	15	©	©	PROPN
easat-6182	111	16	2025	2025	NUM
easat-6182	111	17	by	by	ADP
easat-6182	111	18	the	the	DET
easat-6182	111	19	authors	author	NOUN
easat-6182	111	20	;	;	PUNCT
easat-6182	111	21	licensee	licensee	PROPN
easat-6182	111	22	learning	learn	VERB
easat-6182	111	23	gate	gate	NOUN
easat-6182	111	24	figure	figure	NOUN
easat-6182	111	25	2	2	NUM
easat-6182	111	26	.	.	PUNCT
easat-6182	112	1	application	application	NOUN
easat-6182	112	2	of	of	ADP
easat-6182	112	3	linear	linear	ADJ
easat-6182	112	4	regression	regression	NOUN
easat-6182	112	5	in	in	ADP
easat-6182	112	6	breast	breast	NOUN
easat-6182	112	7	cancer	cancer	NOUN
easat-6182	112	8	detection	detection	NOUN
easat-6182	112	9	.	.	PUNCT
easat-6182	113	1	linear	linear	ADJ
easat-6182	113	2	regression	regression	NOUN
easat-6182	113	3	is	be	AUX
easat-6182	113	4	an	an	DET
easat-6182	113	5	effective	effective	ADJ
easat-6182	113	6	instrument	instrument	NOUN
easat-6182	113	7	in	in	ADP
easat-6182	113	8	breast	breast	NOUN
easat-6182	113	9	cancer	cancer	NOUN
easat-6182	113	10	detection	detection	NOUN
easat-6182	113	11	and	and	CCONJ
easat-6182	113	12	diagnosis	diagnosis	NOUN
easat-6182	113	13	,	,	PUNCT
easat-6182	113	14	offering	offer	VERB
easat-6182	113	15	significant	significant	ADJ
easat-6182	113	16	insights	insight	NOUN
easat-6182	113	17	for	for	ADP
easat-6182	113	18	early	early	ADJ
easat-6182	113	19	identification	identification	NOUN
easat-6182	113	20	,	,	PUNCT
easat-6182	113	21	prognosis	prognosis	NOUN
easat-6182	113	22	,	,	PUNCT
easat-6182	113	23	and	and	CCONJ
easat-6182	113	24	tailored	tailor	VERB
easat-6182	113	25	treatment	treatment	NOUN
easat-6182	113	26	strategies	strategy	NOUN
easat-6182	113	27	.	.	PUNCT
easat-6182	114	1	this	this	DET
easat-6182	114	2	methodology	methodology	NOUN
easat-6182	114	3	can	can	AUX
easat-6182	114	4	be	be	AUX
easat-6182	114	5	utilized	utilize	VERB
easat-6182	114	6	to	to	PART
easat-6182	114	7	forecast	forecast	VERB
easat-6182	114	8	tumour	tumour	NOUN
easat-6182	114	9	dimensions	dimension	NOUN
easat-6182	114	10	and	and	CCONJ
easat-6182	114	11	associated	associated	ADJ
easat-6182	114	12	risks	risk	NOUN
easat-6182	114	13	,	,	PUNCT
easat-6182	114	14	analyse	analyse	NOUN
easat-6182	114	15	breast	breast	NOUN
easat-6182	114	16	cancer	cancer	NOUN
easat-6182	114	17	survival	survival	NOUN
easat-6182	114	18	,	,	PUNCT
easat-6182	114	19	examine	examine	VERB
easat-6182	114	20	correlations	correlation	NOUN
easat-6182	114	21	among	among	ADP
easat-6182	114	22	clinical	clinical	ADJ
easat-6182	114	23	characteristics	characteristic	NOUN
easat-6182	114	24	,	,	PUNCT
easat-6182	114	25	and	and	CCONJ
easat-6182	114	26	conduct	conduct	VERB
easat-6182	114	27	genetic	genetic	ADJ
easat-6182	114	28	and	and	CCONJ
easat-6182	114	29	molecular	molecular	ADJ
easat-6182	114	30	biomarker	biomarker	NOUN
easat-6182	114	31	assessments	assessment	NOUN
easat-6182	114	32	.	.	PUNCT
easat-6182	115	1	additionally	additionally	ADV
easat-6182	115	2	,	,	PUNCT
easat-6182	115	3	it	it	PRON
easat-6182	115	4	facilitates	facilitate	VERB
easat-6182	115	5	tumour	tumour	NOUN
easat-6182	115	6	growth	growth	NOUN
easat-6182	115	7	rate	rate	NOUN
easat-6182	115	8	estimation	estimation	NOUN
easat-6182	115	9	,	,	PUNCT
easat-6182	115	10	risk	risk	NOUN
easat-6182	115	11	factor	factor	NOUN
easat-6182	115	12	quantification	quantification	NOUN
easat-6182	115	13	,	,	PUNCT
easat-6182	115	14	recurrence	recurrence	NOUN
easat-6182	115	15	prediction	prediction	NOUN
easat-6182	115	16	,	,	PUNCT
easat-6182	115	17	breast	breast	NOUN
easat-6182	115	18	density	density	NOUN
easat-6182	115	19	classification	classification	NOUN
easat-6182	115	20	,	,	PUNCT
easat-6182	115	21	mammogram	mammogram	NOUN
easat-6182	115	22	image	image	NOUN
easat-6182	115	23	analysis	analysis	NOUN
easat-6182	115	24	,	,	PUNCT
easat-6182	115	25	and	and	CCONJ
easat-6182	115	26	treatment	treatment	NOUN
easat-6182	115	27	response	response	NOUN
easat-6182	115	28	forecasting	forecasting	NOUN
easat-6182	116	1	[	[	X
easat-6182	116	2	1	1	NUM
easat-6182	116	3	,	,	PUNCT
easat-6182	116	4	16	16	NUM
easat-6182	116	5	]	]	PUNCT
easat-6182	116	6	.	.	PUNCT
easat-6182	117	1	moreover	moreover	ADV
easat-6182	117	2	,	,	PUNCT
easat-6182	117	3	linear	linear	ADJ
easat-6182	117	4	regression	regression	NOUN
easat-6182	117	5	models	model	NOUN
easat-6182	117	6	elucidate	elucidate	VERB
easat-6182	117	7	the	the	DET
easat-6182	117	8	association	association	NOUN
easat-6182	117	9	between	between	ADP
easat-6182	117	10	independent	independent	ADJ
easat-6182	117	11	factors	factor	NOUN
easat-6182	117	12	such	such	ADJ
easat-6182	117	13	as	as	ADP
easat-6182	117	14	age	age	NOUN
easat-6182	117	15	,	,	PUNCT
easat-6182	117	16	tumour	tumour	NOUN
easat-6182	117	17	size	size	NOUN
easat-6182	117	18	,	,	PUNCT
easat-6182	117	19	and	and	CCONJ
easat-6182	117	20	other	other	ADJ
easat-6182	117	21	clinical	clinical	ADJ
easat-6182	117	22	characteristics	characteristic	NOUN
easat-6182	117	23	and	and	CCONJ
easat-6182	117	24	the	the	DET
easat-6182	117	25	likelihood	likelihood	NOUN
easat-6182	117	26	of	of	ADP
easat-6182	117	27	malignancy	malignancy	NOUN
easat-6182	117	28	.	.	PUNCT
easat-6182	118	1	it	it	PRON
easat-6182	118	2	furthermore	furthermore	ADV
easat-6182	118	3	aids	aid	VERB
easat-6182	118	4	in	in	ADP
easat-6182	118	5	forecasting	forecast	VERB
easat-6182	118	6	patient	patient	ADJ
easat-6182	118	7	survival	survival	NOUN
easat-6182	118	8	rates	rate	NOUN
easat-6182	118	9	based	base	VERB
easat-6182	118	10	on	on	ADP
easat-6182	118	11	these	these	DET
easat-6182	118	12	variables	variable	NOUN
easat-6182	118	13	,	,	PUNCT
easat-6182	118	14	informing	inform	VERB
easat-6182	118	15	individualized	individualized	ADJ
easat-6182	118	16	therapy	therapy	NOUN
easat-6182	118	17	strategies	strategy	NOUN
easat-6182	118	18	.	.	PUNCT
easat-6182	119	1	it	it	PRON
easat-6182	119	2	also	also	ADV
easat-6182	119	3	aids	aid	VERB
easat-6182	119	4	in	in	ADP
easat-6182	119	5	identifying	identify	VERB
easat-6182	119	6	links	link	NOUN
easat-6182	119	7	between	between	ADP
easat-6182	119	8	clinical	clinical	ADJ
easat-6182	119	9	characteristics	characteristic	NOUN
easat-6182	119	10	and	and	CCONJ
easat-6182	119	11	cancer	cancer	NOUN
easat-6182	119	12	risk	risk	NOUN
easat-6182	119	13	,	,	PUNCT
easat-6182	119	14	assisting	assist	VERB
easat-6182	119	15	oncologists	oncologist	NOUN
easat-6182	119	16	in	in	ADP
easat-6182	119	17	pinpointing	pinpoint	VERB
easat-6182	119	18	critical	critical	ADJ
easat-6182	119	19	elements	element	NOUN
easat-6182	119	20	that	that	PRON
easat-6182	119	21	contribute	contribute	VERB
easat-6182	119	22	to	to	ADP
easat-6182	119	23	cancer	cancer	NOUN
easat-6182	119	24	development	development	NOUN
easat-6182	119	25	[	[	X
easat-6182	119	26	17	17	NUM
easat-6182	119	27	]	]	PUNCT
easat-6182	119	28	.	.	PUNCT
easat-6182	120	1	in	in	ADP
easat-6182	120	2	addition	addition	NOUN
easat-6182	120	3	,	,	PUNCT
easat-6182	120	4	genetic	genetic	ADJ
easat-6182	120	5	and	and	CCONJ
easat-6182	120	6	molecular	molecular	ADJ
easat-6182	120	7	biomarkers	biomarker	NOUN
easat-6182	120	8	may	may	AUX
easat-6182	120	9	be	be	AUX
easat-6182	120	10	analysed	analyse	VERB
easat-6182	120	11	using	use	VERB
easat-6182	120	12	linear	linear	PROPN
easat-6182	120	13	regression	regression	NOUN
easat-6182	120	14	to	to	PART
easat-6182	120	15	uncover	uncover	VERB
easat-6182	120	16	associations	association	NOUN
easat-6182	120	17	between	between	ADP
easat-6182	120	18	certain	certain	ADJ
easat-6182	120	19	biomarkers	biomarker	NOUN
easat-6182	120	20	and	and	CCONJ
easat-6182	120	21	cancer	cancer	NOUN
easat-6182	120	22	incidence	incidence	NOUN
easat-6182	120	23	,	,	PUNCT
easat-6182	120	24	facilitating	facilitate	VERB
easat-6182	120	25	early	early	ADJ
easat-6182	120	26	identification	identification	NOUN
easat-6182	120	27	or	or	CCONJ
easat-6182	120	28	tailored	tailor	VERB
easat-6182	120	29	therapies	therapy	NOUN
easat-6182	120	30	.	.	PUNCT
easat-6182	121	1	estimating	estimate	VERB
easat-6182	121	2	tumor	tumor	NOUN
easat-6182	121	3	growth	growth	NOUN
easat-6182	121	4	rate	rate	NOUN
easat-6182	121	5	involves	involve	VERB
easat-6182	121	6	examining	examine	VERB
easat-6182	121	7	variations	variation	NOUN
easat-6182	121	8	in	in	ADP
easat-6182	121	9	tumor	tumor	NOUN
easat-6182	121	10	size	size	NOUN
easat-6182	121	11	from	from	ADP
easat-6182	121	12	sequential	sequential	ADJ
easat-6182	121	13	imaging	imaging	NOUN
easat-6182	121	14	scans	scan	NOUN
easat-6182	121	15	,	,	PUNCT
easat-6182	121	16	tracking	track	VERB
easat-6182	121	17	cancer	cancer	NOUN
easat-6182	121	18	development	development	NOUN
easat-6182	121	19	,	,	PUNCT
easat-6182	121	20	and	and	CCONJ
easat-6182	121	21	assessing	assess	VERB
easat-6182	121	22	treatment	treatment	NOUN
easat-6182	121	23	efficacy	efficacy	NOUN
easat-6182	121	24	over	over	ADP
easat-6182	121	25	time	time	NOUN
easat-6182	121	26	[	[	X
easat-6182	121	27	18	18	NUM
easat-6182	121	28	]	]	PUNCT
easat-6182	121	29	.	.	PUNCT
easat-6182	122	1	moreover	moreover	ADV
easat-6182	122	2	,	,	PUNCT
easat-6182	122	3	linear	linear	ADJ
easat-6182	122	4	regression	regression	NOUN
easat-6182	122	5	may	may	AUX
easat-6182	122	6	be	be	AUX
easat-6182	122	7	used	use	VERB
easat-6182	122	8	to	to	PART
easat-6182	122	9	identify	identify	VERB
easat-6182	122	10	breast	breast	NOUN
easat-6182	122	11	density	density	NOUN
easat-6182	122	12	,	,	PUNCT
easat-6182	122	13	characterize	characterize	VERB
easat-6182	122	14	imaging	imaging	NOUN
easat-6182	122	15	attributes	attribute	NOUN
easat-6182	122	16	,	,	PUNCT
easat-6182	122	17	and	and	CCONJ
easat-6182	122	18	forecast	forecast	NOUN
easat-6182	122	19	therapy	therapy	NOUN
easat-6182	122	20	response	response	NOUN
easat-6182	122	21	.	.	PUNCT
easat-6182	123	1	through	through	ADP
easat-6182	123	2	the	the	DET
easat-6182	123	3	analysis	analysis	NOUN
easat-6182	123	4	of	of	ADP
easat-6182	123	5	clinical	clinical	ADJ
easat-6182	123	6	and	and	CCONJ
easat-6182	123	7	genetic	genetic	ADJ
easat-6182	123	8	data	datum	NOUN
easat-6182	123	9	,	,	PUNCT
easat-6182	123	10	it	it	PRON
easat-6182	123	11	may	may	AUX
easat-6182	123	12	aid	aid	VERB
easat-6182	123	13	in	in	ADP
easat-6182	123	14	determining	determine	VERB
easat-6182	123	15	the	the	DET
easat-6182	123	16	most	most	ADV
easat-6182	123	17	efficacious	efficacious	ADJ
easat-6182	123	18	treatment	treatment	NOUN
easat-6182	123	19	approach	approach	NOUN
easat-6182	123	20	for	for	ADP
easat-6182	123	21	patients	patient	NOUN
easat-6182	123	22	.	.	PUNCT
easat-6182	124	1	linear	linear	ADJ
easat-6182	124	2	regression	regression	NOUN
easat-6182	124	3	is	be	AUX
easat-6182	124	4	an	an	DET
easat-6182	124	5	essential	essential	ADJ
easat-6182	124	6	instrument	instrument	NOUN
easat-6182	124	7	in	in	ADP
easat-6182	124	8	breast	breast	NOUN
easat-6182	124	9	cancer	cancer	NOUN
easat-6182	124	10	detection	detection	NOUN
easat-6182	124	11	and	and	CCONJ
easat-6182	124	12	diagnosis	diagnosis	NOUN
easat-6182	124	13	,	,	PUNCT
easat-6182	124	14	offering	offer	VERB
easat-6182	124	15	data	data	NOUN
easat-6182	124	16	-	-	PUNCT
easat-6182	124	17	driven	drive	VERB
easat-6182	124	18	insights	insight	NOUN
easat-6182	124	19	that	that	PRON
easat-6182	124	20	improve	improve	VERB
easat-6182	124	21	early	early	ADJ
easat-6182	124	22	detection	detection	NOUN
easat-6182	124	23	,	,	PUNCT
easat-6182	124	24	prognosis	prognosis	NOUN
easat-6182	124	25	,	,	PUNCT
easat-6182	124	26	and	and	CCONJ
easat-6182	124	27	individualized	individualized	ADJ
easat-6182	124	28	treatment	treatment	NOUN
easat-6182	124	29	strategies	strategy	NOUN
easat-6182	124	30	[	[	X
easat-6182	124	31	19	19	NUM
easat-6182	124	32	]	]	PUNCT
easat-6182	124	33	by	by	ADP
easat-6182	124	34	integrating	integrate	VERB
easat-6182	124	35	both	both	DET
easat-6182	124	36	methodologies	methodology	NOUN
easat-6182	124	37	,	,	PUNCT
easat-6182	124	38	the	the	DET
easat-6182	124	39	system	system	NOUN
easat-6182	124	40	can	can	AUX
easat-6182	124	41	manage	manage	VERB
easat-6182	124	42	ambiguous	ambiguous	ADJ
easat-6182	124	43	and	and	CCONJ
easat-6182	124	44	imprecise	imprecise	ADV
easat-6182	124	45	input	input	NOUN
easat-6182	124	46	data	datum	NOUN
easat-6182	124	47	using	use	VERB
easat-6182	124	48	fuzzy	fuzzy	ADJ
easat-6182	124	49	logic	logic	NOUN
easat-6182	124	50	,	,	PUNCT
easat-6182	124	51	while	while	SCONJ
easat-6182	124	52	simultaneously	simultaneously	ADV
easat-6182	124	53	delivering	deliver	VERB
easat-6182	124	54	accurate	accurate	ADJ
easat-6182	124	55	predictions	prediction	NOUN
easat-6182	124	56	when	when	SCONJ
easat-6182	124	57	feasible	feasible	ADJ
easat-6182	124	58	through	through	ADP
easat-6182	124	59	regression	regression	NOUN
easat-6182	124	60	.	.	PUNCT
easat-6182	125	1	integrating	integrate	VERB
easat-6182	125	2	fuzzy	fuzzy	ADJ
easat-6182	125	3	logic	logic	NOUN
easat-6182	125	4	with	with	ADP
easat-6182	125	5	linear	linear	PROPN
easat-6182	125	6	1106	1106	NUM
easat-6182	125	7	edelweiss	edelweiss	PROPN
easat-6182	125	8	applied	apply	VERB
easat-6182	125	9	science	science	NOUN
easat-6182	125	10	and	and	CCONJ
easat-6182	125	11	technology	technology	NOUN
easat-6182	125	12	issn	issn	PROPN
easat-6182	125	13	:	:	PUNCT
easat-6182	125	14	2576	2576	NUM
easat-6182	125	15	-	-	SYM
easat-6182	125	16	8484	8484	NUM
easat-6182	125	17	vol	vol	NOUN
easat-6182	125	18	.	.	PROPN
easat-6182	126	1	9	9	NUM
easat-6182	126	2	,	,	PUNCT
easat-6182	126	3	no	no	INTJ
easat-6182	126	4	.	.	NOUN
easat-6182	126	5	4	4	NUM
easat-6182	126	6	:	:	PUNCT
easat-6182	126	7	1101	1101	NUM
easat-6182	126	8	-	-	PUNCT
easat-6182	126	9	1109	1109	NUM
easat-6182	126	10	,	,	PUNCT
easat-6182	126	11	2025	2025	NUM
easat-6182	126	12	doi	doi	NOUN
easat-6182	126	13	:	:	PUNCT
easat-6182	126	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	126	15	©	©	PROPN
easat-6182	126	16	2025	2025	NUM
easat-6182	126	17	by	by	ADP
easat-6182	126	18	the	the	DET
easat-6182	126	19	authors	author	NOUN
easat-6182	126	20	;	;	PUNCT
easat-6182	126	21	licensee	licensee	PROPN
easat-6182	126	22	learning	learn	VERB
easat-6182	126	23	gate	gate	PROPN
easat-6182	126	24	regression	regression	PROPN
easat-6182	126	25	capitalizes	capitalize	VERB
easat-6182	126	26	on	on	ADP
easat-6182	126	27	the	the	DET
easat-6182	126	28	advantages	advantage	NOUN
easat-6182	126	29	of	of	ADP
easat-6182	126	30	both	both	DET
easat-6182	126	31	methodologies	methodology	NOUN
easat-6182	126	32	:	:	PUNCT
easat-6182	126	33	fuzzy	fuzzy	ADJ
easat-6182	126	34	logic	logic	NOUN
easat-6182	126	35	's	's	PART
easat-6182	126	36	proficiency	proficiency	NOUN
easat-6182	126	37	in	in	ADP
easat-6182	126	38	managing	manage	VERB
easat-6182	126	39	ambiguity	ambiguity	NOUN
easat-6182	126	40	and	and	CCONJ
easat-6182	126	41	uncertainty	uncertainty	NOUN
easat-6182	126	42	,	,	PUNCT
easat-6182	126	43	and	and	CCONJ
easat-6182	126	44	linear	linear	PROPN
easat-6182	126	45	regression	regression	NOUN
easat-6182	126	46	's	's	PART
easat-6182	126	47	capability	capability	NOUN
easat-6182	126	48	for	for	ADP
easat-6182	126	49	accurate	accurate	ADJ
easat-6182	126	50	,	,	PUNCT
easat-6182	126	51	linear	linear	ADJ
easat-6182	126	52	predictive	predictive	ADJ
easat-6182	126	53	modelling	modelling	NOUN
easat-6182	126	54	.	.	PUNCT
easat-6182	127	1	this	this	DET
easat-6182	127	2	results	result	VERB
easat-6182	127	3	in	in	ADP
easat-6182	127	4	enhanced	enhanced	ADJ
easat-6182	127	5	performance	performance	NOUN
easat-6182	127	6	in	in	ADP
easat-6182	127	7	intricate	intricate	ADJ
easat-6182	127	8	,	,	PUNCT
easat-6182	127	9	real	real	ADJ
easat-6182	127	10	-	-	PUNCT
easat-6182	127	11	world	world	NOUN
easat-6182	127	12	situations	situation	NOUN
easat-6182	127	13	.	.	PUNCT
easat-6182	128	1	to	to	PART
easat-6182	128	2	be	be	AUX
easat-6182	128	3	more	more	ADV
easat-6182	128	4	precise	precise	ADJ
easat-6182	128	5	,	,	PUNCT
easat-6182	128	6	wang	wang	PROPN
easat-6182	128	7	,	,	PUNCT
easat-6182	128	8	et	et	PROPN
easat-6182	128	9	al	al	PROPN
easat-6182	128	10	.	.	PUNCT
easat-6182	129	1	[	[	X
easat-6182	129	2	9	9	NUM
easat-6182	129	3	]	]	PUNCT
easat-6182	129	4	in	in	ADP
easat-6182	129	5	one	one	NUM
easat-6182	129	6	of	of	ADP
easat-6182	129	7	their	their	PRON
easat-6182	129	8	studies	study	NOUN
easat-6182	129	9	,	,	PUNCT
easat-6182	129	10	pointed	point	VERB
easat-6182	129	11	out	out	ADP
easat-6182	129	12	that	that	SCONJ
easat-6182	129	13	linear	linear	ADJ
easat-6182	129	14	regression	regression	NOUN
easat-6182	129	15	could	could	AUX
easat-6182	129	16	predict	predict	VERB
easat-6182	129	17	the	the	DET
easat-6182	129	18	likelihood	likelihood	NOUN
easat-6182	129	19	of	of	ADP
easat-6182	129	20	breast	breast	NOUN
easat-6182	129	21	cancer	cancer	NOUN
easat-6182	129	22	by	by	ADP
easat-6182	129	23	using	use	VERB
easat-6182	129	24	parameters	parameter	NOUN
easat-6182	129	25	such	such	ADJ
easat-6182	129	26	as	as	ADP
easat-6182	129	27	age	age	NOUN
easat-6182	129	28	,	,	PUNCT
easat-6182	129	29	family	family	NOUN
easat-6182	129	30	history	history	NOUN
easat-6182	129	31	,	,	PUNCT
easat-6182	129	32	and	and	CCONJ
easat-6182	129	33	tumor	tumor	NOUN
easat-6182	129	34	size	size	NOUN
easat-6182	129	35	.	.	PUNCT
easat-6182	130	1	however	however	ADV
easat-6182	130	2	,	,	PUNCT
easat-6182	130	3	assuming	assume	VERB
easat-6182	130	4	linear	linear	ADJ
easat-6182	130	5	relationships	relationship	NOUN
easat-6182	130	6	are	be	AUX
easat-6182	130	7	very	very	ADV
easat-6182	130	8	unrealistic	unrealistic	ADJ
easat-6182	130	9	in	in	ADP
easat-6182	130	10	most	most	ADJ
easat-6182	130	11	of	of	ADP
easat-6182	130	12	the	the	DET
easat-6182	130	13	big	big	ADJ
easat-6182	130	14	biological	biological	ADJ
easat-6182	130	15	datasets	dataset	NOUN
easat-6182	130	16	,	,	PUNCT
easat-6182	130	17	linear	linear	ADJ
easat-6182	130	18	regression	regression	NOUN
easat-6182	130	19	is	be	AUX
easat-6182	130	20	used	use	VERB
easat-6182	130	21	as	as	ADP
easat-6182	130	22	the	the	DET
easat-6182	130	23	first	first	ADJ
easat-6182	130	24	step	step	NOUN
easat-6182	130	25	to	to	PART
easat-6182	130	26	identify	identify	VERB
easat-6182	130	27	trends	trend	NOUN
easat-6182	130	28	among	among	ADP
easat-6182	130	29	medical	medical	ADJ
easat-6182	130	30	data	datum	NOUN
easat-6182	130	31	due	due	ADP
easat-6182	130	32	to	to	ADP
easat-6182	130	33	its	its	PRON
easat-6182	130	34	simplicity	simplicity	NOUN
easat-6182	130	35	.	.	PUNCT
easat-6182	131	1	also	also	ADV
easat-6182	131	2	,	,	PUNCT
easat-6182	131	3	applying	apply	VERB
easat-6182	131	4	linear	linear	NOUN
easat-6182	131	5	regression	regression	NOUN
easat-6182	131	6	models	model	NOUN
easat-6182	131	7	works	work	VERB
easat-6182	131	8	because	because	SCONJ
easat-6182	131	9	the	the	DET
easat-6182	131	10	overall	overall	ADJ
easat-6182	131	11	types	type	NOUN
easat-6182	131	12	of	of	ADP
easat-6182	131	13	models	model	NOUN
easat-6182	131	14	are	be	AUX
easat-6182	131	15	rather	rather	ADV
easat-6182	131	16	interpretable	interpretable	ADJ
easat-6182	131	17	.	.	PUNCT
easat-6182	132	1	this	this	PRON
easat-6182	132	2	is	be	AUX
easat-6182	132	3	beneficial	beneficial	ADJ
easat-6182	132	4	because	because	SCONJ
easat-6182	132	5	the	the	DET
easat-6182	132	6	physicians	physician	NOUN
easat-6182	132	7	can	can	AUX
easat-6182	132	8	easily	easily	ADV
easat-6182	132	9	discern	discern	VERB
easat-6182	132	10	how	how	SCONJ
easat-6182	132	11	each	each	DET
easat-6182	132	12	variable	variable	NOUN
easat-6182	132	13	contributes	contribute	VERB
easat-6182	132	14	to	to	ADP
easat-6182	132	15	the	the	DET
easat-6182	132	16	models	model	NOUN
easat-6182	132	17	to	to	PART
easat-6182	132	18	design	design	VERB
easat-6182	132	19	the	the	DET
easat-6182	132	20	models	model	NOUN
easat-6182	132	21	'	'	PART
easat-6182	132	22	recommendation	recommendation	NOUN
easat-6182	132	23	systems	system	NOUN
easat-6182	132	24	.	.	PUNCT
easat-6182	133	1	the	the	DET
easat-6182	133	2	difference	difference	NOUN
easat-6182	133	3	between	between	ADP
easat-6182	133	4	these	these	DET
easat-6182	133	5	models	model	NOUN
easat-6182	133	6	and	and	CCONJ
easat-6182	133	7	more	more	ADV
easat-6182	133	8	elaborate	elaborate	ADJ
easat-6182	133	9	models	model	NOUN
easat-6182	133	10	like	like	ADP
easat-6182	133	11	gross	gross	ADJ
easat-6182	133	12	neural	neural	ADJ
easat-6182	133	13	nets	net	NOUN
easat-6182	133	14	,	,	PUNCT
easat-6182	133	15	which	which	PRON
easat-6182	133	16	are	be	AUX
easat-6182	133	17	often	often	ADV
easat-6182	133	18	accused	accuse	VERB
easat-6182	133	19	of	of	ADP
easat-6182	133	20	making	make	VERB
easat-6182	133	21	predictions	prediction	NOUN
easat-6182	133	22	without	without	ADP
easat-6182	133	23	explaining	explain	VERB
easat-6182	133	24	them	they	PRON
easat-6182	133	25	[	[	X
easat-6182	133	26	20	20	NUM
easat-6182	133	27	,	,	PUNCT
easat-6182	133	28	21	21	NUM
easat-6182	133	29	]	]	PUNCT
easat-6182	133	30	as	as	SCONJ
easat-6182	133	31	shown	show	VERB
easat-6182	133	32	in	in	ADP
easat-6182	133	33	table	table	NOUN
easat-6182	133	34	1	1	NUM
easat-6182	133	35	,	,	PUNCT
easat-6182	133	36	a	a	DET
easat-6182	133	37	comparison	comparison	NOUN
easat-6182	133	38	of	of	ADP
easat-6182	133	39	fuzzy	fuzzy	ADJ
easat-6182	133	40	logic	logic	NOUN
easat-6182	133	41	(	(	PUNCT
easat-6182	133	42	linear	linear	PROPN
easat-6182	133	43	regression	regression	NOUN
easat-6182	133	44	)	)	PUNCT
easat-6182	133	45	with	with	ADP
easat-6182	133	46	other	other	ADJ
easat-6182	133	47	models	model	NOUN
easat-6182	133	48	such	such	ADJ
easat-6182	133	49	as	as	ADP
easat-6182	133	50	decision	decision	NOUN
easat-6182	133	51	trees	tree	NOUN
easat-6182	133	52	and	and	CCONJ
easat-6182	133	53	neural	neural	ADJ
easat-6182	133	54	networks	network	NOUN
easat-6182	133	55	.	.	PUNCT
easat-6182	134	1	the	the	DET
easat-6182	134	2	comparison	comparison	NOUN
easat-6182	134	3	handling	handle	VERB
easat-6182	134	4	nonlinearity	nonlinearity	NOUN
easat-6182	134	5	,	,	PUNCT
easat-6182	134	6	interpretability	interpretability	NOUN
easat-6182	134	7	,	,	PUNCT
easat-6182	134	8	handling	handle	VERB
easat-6182	134	9	uncertainty	uncertainty	NOUN
easat-6182	134	10	,	,	PUNCT
easat-6182	134	11	computational	computational	ADJ
easat-6182	134	12	complexity	complexity	NOUN
easat-6182	134	13	,	,	PUNCT
easat-6182	134	14	accuracy	accuracy	NOUN
easat-6182	134	15	,	,	PUNCT
easat-6182	134	16	flexibility	flexibility	NOUN
easat-6182	134	17	in	in	ADP
easat-6182	134	18	medical	medical	ADJ
easat-6182	134	19	diagnosis	diagnosis	NOUN
easat-6182	134	20	,	,	PUNCT
easat-6182	134	21	sensitivity	sensitivity	NOUN
easat-6182	134	22	to	to	ADP
easat-6182	134	23	outliers	outlier	NOUN
easat-6182	134	24	,	,	PUNCT
easat-6182	134	25	and	and	CCONJ
easat-6182	134	26	data	datum	NOUN
easat-6182	134	27	requirements	requirement	NOUN
easat-6182	134	28	.	.	PUNCT
easat-6182	135	1	table	table	NOUN
easat-6182	135	2	1	1	NUM
easat-6182	135	3	.	.	PUNCT
easat-6182	135	4	comparison	comparison	NOUN
easat-6182	135	5	of	of	ADP
easat-6182	135	6	fuzzy	fuzzy	ADJ
easat-6182	135	7	logic	logic	NOUN
easat-6182	135	8	(	(	PUNCT
easat-6182	135	9	linear	linear	PROPN
easat-6182	135	10	regression	regression	NOUN
easat-6182	135	11	)	)	PUNCT
easat-6182	135	12	with	with	ADP
easat-6182	135	13	other	other	ADJ
easat-6182	135	14	models	model	NOUN
easat-6182	135	15	.	.	PUNCT
easat-6182	136	1	feature	feature	VERB
easat-6182	136	2	fuzzy	fuzzy	ADJ
easat-6182	136	3	logic	logic	NOUN
easat-6182	136	4	(	(	PUNCT
easat-6182	136	5	with	with	ADP
easat-6182	136	6	linear	linear	ADJ
easat-6182	136	7	regression	regression	NOUN
easat-6182	136	8	)	)	PUNCT
easat-6182	136	9	decision	decision	NOUN
easat-6182	136	10	trees	tree	NOUN
easat-6182	136	11	neural	neural	ADJ
easat-6182	136	12	networks	network	NOUN
easat-6182	136	13	handling	handle	VERB
easat-6182	136	14	nonlinearity	nonlinearity	NOUN
easat-6182	136	15	nonlinearity	nonlinearity	NOUN
easat-6182	136	16	is	be	AUX
easat-6182	136	17	managed	manage	VERB
easat-6182	136	18	to	to	ADP
easat-6182	136	19	some	some	DET
easat-6182	136	20	extent	extent	NOUN
easat-6182	136	21	using	use	VERB
easat-6182	136	22	fuzzy	fuzzy	ADJ
easat-6182	136	23	logic	logic	NOUN
easat-6182	136	24	,	,	PUNCT
easat-6182	136	25	but	but	CCONJ
easat-6182	136	26	it	it	PRON
easat-6182	136	27	suffers	suffer	VERB
easat-6182	136	28	from	from	ADP
easat-6182	136	29	having	have	VERB
easat-6182	136	30	a	a	DET
easat-6182	136	31	linear	linear	ADJ
easat-6182	136	32	regression	regression	NOUN
easat-6182	136	33	model	model	NOUN
easat-6182	136	34	.	.	PUNCT
easat-6182	137	1	the	the	DET
easat-6182	137	2	decision	decision	NOUN
easat-6182	137	3	trees	tree	NOUN
easat-6182	137	4	can	can	AUX
easat-6182	137	5	easily	easily	ADV
easat-6182	137	6	manage	manage	VERB
easat-6182	137	7	nonlinearity	nonlinearity	NOUN
easat-6182	137	8	through	through	ADP
easat-6182	137	9	multiple	multiple	ADJ
easat-6182	137	10	splits	split	NOUN
easat-6182	137	11	of	of	ADP
easat-6182	137	12	the	the	DET
easat-6182	137	13	tree	tree	NOUN
easat-6182	137	14	.	.	PUNCT
easat-6182	138	1	it	it	PRON
easat-6182	138	2	does	do	VERB
easat-6182	138	3	exceptionally	exceptionally	ADV
easat-6182	138	4	well	well	ADV
easat-6182	138	5	when	when	SCONJ
easat-6182	138	6	capturing	capture	VERB
easat-6182	138	7	interactions	interaction	NOUN
easat-6182	138	8	of	of	ADP
easat-6182	138	9	second	second	ADJ
easat-6182	138	10	and	and	CCONJ
easat-6182	138	11	higher	high	ADJ
easat-6182	138	12	order	order	NOUN
easat-6182	138	13	.	.	PUNCT
easat-6182	139	1	interpretability	interpretability	NOUN
easat-6182	139	2	somewhat	somewhat	ADV
easat-6182	139	3	interpretable	interpretable	ADJ
easat-6182	139	4	,	,	PUNCT
easat-6182	139	5	fuzzy	fuzzy	ADJ
easat-6182	139	6	rules	rule	NOUN
easat-6182	139	7	and	and	CCONJ
easat-6182	139	8	linear	linear	ADJ
easat-6182	139	9	coefficients	coefficient	NOUN
easat-6182	139	10	can	can	AUX
easat-6182	139	11	at	at	ADV
easat-6182	139	12	least	least	ADJ
easat-6182	139	13	be	be	AUX
easat-6182	139	14	explained	explain	VERB
easat-6182	139	15	(	(	PUNCT
easat-6182	139	16	see	see	VERB
easat-6182	139	17	fig	fig	NOUN
easat-6182	139	18	1	1	NUM
easat-6182	139	19	.	.	PUNCT
easat-6182	139	20	)	)	PUNCT
easat-6182	139	21	.	.	PUNCT
easat-6182	140	1	it	it	PRON
easat-6182	140	2	is	be	AUX
easat-6182	140	3	highly	highly	ADV
easat-6182	140	4	interpretable	interpretable	ADJ
easat-6182	140	5	;	;	PUNCT
easat-6182	140	6	it	it	PRON
easat-6182	140	7	is	be	AUX
easat-6182	140	8	easy	easy	ADJ
easat-6182	140	9	to	to	PART
easat-6182	140	10	visualize	visualize	VERB
easat-6182	140	11	and	and	CCONJ
easat-6182	140	12	understand	understand	VERB
easat-6182	140	13	the	the	DET
easat-6182	140	14	decisionmaking	decisionmake	VERB
easat-6182	140	15	process	process	NOUN
easat-6182	140	16	at	at	ADP
easat-6182	140	17	each	each	DET
easat-6182	140	18	tree	tree	NOUN
easat-6182	140	19	node	node	NOUN
easat-6182	140	20	.	.	PUNCT
easat-6182	141	1	it	it	PRON
easat-6182	141	2	is	be	AUX
easat-6182	141	3	not	not	PART
easat-6182	141	4	very	very	ADV
easat-6182	141	5	interpretable	interpretable	ADJ
easat-6182	141	6	;	;	PUNCT
easat-6182	141	7	architectures	architecture	NOUN
easat-6182	141	8	are	be	AUX
easat-6182	141	9	densely	densely	ADV
easat-6182	141	10	complex	complex	ADJ
easat-6182	141	11	.	.	PUNCT
easat-6182	142	1	thus	thus	ADV
easat-6182	142	2	,	,	PUNCT
easat-6182	142	3	it	it	PRON
easat-6182	142	4	is	be	AUX
easat-6182	142	5	famously	famously	ADV
easat-6182	142	6	referred	refer	VERB
easat-6182	142	7	to	to	ADP
easat-6182	142	8	as	as	ADP
easat-6182	142	9	the	the	DET
easat-6182	142	10	'	'	PUNCT
easat-6182	142	11	black	black	ADJ
easat-6182	142	12	box	box	NOUN
easat-6182	142	13	.	.	PUNCT
easat-6182	142	14	'	'	PUNCT
easat-6182	143	1	handling	handle	VERB
easat-6182	143	2	uncertainty	uncertainty	NOUN
easat-6182	143	3	copes	cope	VERB
easat-6182	143	4	well	well	ADV
easat-6182	143	5	with	with	ADP
easat-6182	143	6	uncertainty	uncertainty	NOUN
easat-6182	143	7	using	use	VERB
easat-6182	143	8	fuzzy	fuzzy	ADJ
easat-6182	143	9	sets	set	NOUN
easat-6182	143	10	and	and	CCONJ
easat-6182	143	11	degrees	degree	NOUN
easat-6182	143	12	of	of	ADP
easat-6182	143	13	membership	membership	NOUN
easat-6182	143	14	.	.	PUNCT
easat-6182	144	1	it	it	PRON
easat-6182	144	2	was	be	AUX
easat-6182	144	3	resolved	resolve	VERB
easat-6182	144	4	by	by	ADP
easat-6182	144	5	making	make	VERB
easat-6182	144	6	dichotomy	dichotomy	NOUN
easat-6182	144	7	decisions	decision	NOUN
easat-6182	144	8	,	,	PUNCT
easat-6182	144	9	which	which	PRON
easat-6182	144	10	were	be	AUX
easat-6182	144	11	less	less	ADJ
easat-6182	144	12	in	in	ADP
easat-6182	144	13	comparison	comparison	NOUN
easat-6182	144	14	with	with	ADP
easat-6182	144	15	fuzzy	fuzzy	ADJ
easat-6182	144	16	logic	logic	NOUN
easat-6182	144	17	than	than	ADP
easat-6182	144	18	statistics	statistic	NOUN
easat-6182	144	19	.	.	PUNCT
easat-6182	145	1	it	it	PRON
easat-6182	145	2	is	be	AUX
easat-6182	145	3	good	good	ADJ
easat-6182	145	4	at	at	ADP
easat-6182	145	5	working	work	VERB
easat-6182	145	6	with	with	ADP
easat-6182	145	7	uncertainty	uncertainty	NOUN
easat-6182	145	8	but	but	CCONJ
easat-6182	145	9	,	,	PUNCT
easat-6182	145	10	unlike	unlike	ADP
easat-6182	145	11	fuzzy	fuzzy	ADJ
easat-6182	145	12	logic	logic	NOUN
easat-6182	145	13	,	,	PUNCT
easat-6182	145	14	does	do	AUX
easat-6182	145	15	not	not	PART
easat-6182	145	16	natively	natively	ADV
easat-6182	145	17	deal	deal	VERB
easat-6182	145	18	with	with	ADP
easat-6182	145	19	ambiguity	ambiguity	NOUN
easat-6182	145	20	.	.	PUNCT
easat-6182	146	1	computational	computational	ADJ
easat-6182	146	2	complexity	complexity	NOUN
easat-6182	146	3	moderate	moderate	ADJ
easat-6182	146	4	because	because	SCONJ
easat-6182	146	5	of	of	ADP
easat-6182	146	6	integrating	integrate	VERB
easat-6182	146	7	the	the	DET
easat-6182	146	8	fuzzy	fuzzy	ADJ
easat-6182	146	9	logic	logic	NOUN
easat-6182	146	10	concept	concept	NOUN
easat-6182	146	11	with	with	ADP
easat-6182	146	12	the	the	DET
easat-6182	146	13	linear	linear	ADJ
easat-6182	146	14	regression	regression	NOUN
easat-6182	146	15	technique	technique	NOUN
easat-6182	146	16	.	.	PUNCT
easat-6182	147	1	vary	vary	VERB
easat-6182	147	2	from	from	ADP
easat-6182	147	3	a	a	DET
easat-6182	147	4	low	low	ADJ
easat-6182	147	5	to	to	ADP
easat-6182	147	6	moderate	moderate	ADJ
easat-6182	147	7	level	level	NOUN
easat-6182	147	8	,	,	PUNCT
easat-6182	147	9	depending	depend	VERB
easat-6182	147	10	on	on	ADP
easat-6182	147	11	how	how	SCONJ
easat-6182	147	12	detailed	detailed	ADJ
easat-6182	147	13	and	and	CCONJ
easat-6182	147	14	extensive	extensive	ADJ
easat-6182	147	15	the	the	DET
easat-6182	147	16	tree	tree	NOUN
easat-6182	147	17	is	be	AUX
easat-6182	147	18	.	.	PUNCT
easat-6182	148	1	those	those	PRON
easat-6182	148	2	have	have	VERB
easat-6182	148	3	high	high	ADJ
easat-6182	148	4	computational	computational	ADJ
easat-6182	148	5	complexity	complexity	NOUN
easat-6182	148	6	,	,	PUNCT
easat-6182	148	7	especially	especially	ADV
easat-6182	148	8	when	when	SCONJ
easat-6182	148	9	using	use	VERB
easat-6182	148	10	deep	deep	ADJ
easat-6182	148	11	neural	neural	ADJ
easat-6182	148	12	networks	network	NOUN
easat-6182	148	13	.	.	PUNCT
easat-6182	149	1	accuracy	accuracy	NOUN
easat-6182	149	2	when	when	SCONJ
easat-6182	149	3	used	use	VERB
easat-6182	149	4	in	in	ADP
easat-6182	149	5	uncertain	uncertain	ADJ
easat-6182	149	6	data	datum	NOUN
easat-6182	149	7	conditions	condition	NOUN
easat-6182	149	8	,	,	PUNCT
easat-6182	149	9	high	high	ADJ
easat-6182	149	10	accuracy	accuracy	NOUN
easat-6182	149	11	is	be	AUX
easat-6182	149	12	obtained	obtain	VERB
easat-6182	149	13	when	when	SCONJ
easat-6182	149	14	the	the	DET
easat-6182	149	15	data	datum	NOUN
easat-6182	149	16	is	be	AUX
easat-6182	149	17	analyzed	analyze	VERB
easat-6182	149	18	with	with	ADP
easat-6182	149	19	fuzzy	fuzzy	ADJ
easat-6182	149	20	logic	logic	NOUN
easat-6182	149	21	as	as	ADV
easat-6182	149	22	well	well	ADV
easat-6182	149	23	as	as	ADP
easat-6182	149	24	linear	linear	PROPN
easat-6182	149	25	regression	regression	NOUN
easat-6182	149	26	.	.	PUNCT
easat-6182	150	1	high	high	ADJ
easat-6182	150	2	accuracy	accuracy	NOUN
easat-6182	150	3	has	have	AUX
easat-6182	150	4	been	be	AUX
easat-6182	150	5	demonstrated	demonstrate	VERB
easat-6182	150	6	on	on	ADP
easat-6182	150	7	structured	structured	ADJ
easat-6182	150	8	data	datum	NOUN
easat-6182	150	9	,	,	PUNCT
easat-6182	150	10	while	while	SCONJ
easat-6182	150	11	performance	performance	NOUN
easat-6182	150	12	has	have	AUX
easat-6182	150	13	significantly	significantly	ADV
easat-6182	150	14	deteriorated	deteriorate	VERB
easat-6182	150	15	on	on	ADP
easat-6182	150	16	noisy	noisy	ADJ
easat-6182	150	17	or	or	CCONJ
easat-6182	150	18	complex	complex	ADJ
easat-6182	150	19	data	datum	NOUN
easat-6182	150	20	.	.	PUNCT
easat-6182	151	1	when	when	SCONJ
easat-6182	151	2	large	large	ADJ
easat-6182	151	3	numbers	number	NOUN
easat-6182	151	4	are	be	AUX
easat-6182	151	5	used	use	VERB
easat-6182	151	6	as	as	ADP
easat-6182	151	7	samples	sample	NOUN
easat-6182	151	8	,	,	PUNCT
easat-6182	151	9	very	very	ADV
easat-6182	151	10	high	high	ADJ
easat-6182	151	11	accuracy	accuracy	NOUN
easat-6182	151	12	is	be	AUX
easat-6182	151	13	possible	possible	ADJ
easat-6182	151	14	in	in	ADP
easat-6182	151	15	complicated	complicated	ADJ
easat-6182	151	16	chores	chore	NOUN
easat-6182	151	17	.	.	PUNCT
easat-6182	152	1	flexibility	flexibility	NOUN
easat-6182	152	2	in	in	ADP
easat-6182	152	3	medical	medical	ADJ
easat-6182	152	4	diagnosis	diagnosis	NOUN
easat-6182	152	5	fuzzy	fuzzy	ADJ
easat-6182	152	6	logic	logic	NOUN
easat-6182	152	7	is	be	AUX
easat-6182	152	8	very	very	ADV
easat-6182	152	9	flexible	flexible	ADJ
easat-6182	152	10	while	while	SCONJ
easat-6182	152	11	handling	handle	VERB
easat-6182	152	12	medical	medical	ADJ
easat-6182	152	13	data	datum	NOUN
easat-6182	152	14	,	,	PUNCT
easat-6182	152	15	while	while	SCONJ
easat-6182	152	16	linear	linear	ADJ
easat-6182	152	17	regression	regression	NOUN
easat-6182	152	18	gives	give	VERB
easat-6182	152	19	a	a	DET
easat-6182	152	20	clean	clean	ADJ
easat-6182	152	21	output	output	NOUN
easat-6182	152	22	of	of	ADP
easat-6182	152	23	the	the	DET
easat-6182	152	24	likely	likely	ADJ
easat-6182	152	25	prediction	prediction	NOUN
easat-6182	152	26	.	.	PUNCT
easat-6182	153	1	a	a	DET
easat-6182	153	2	decision	decision	NOUN
easat-6182	153	3	process	process	NOUN
easat-6182	153	4	is	be	AUX
easat-6182	153	5	standardized	standardize	VERB
easat-6182	153	6	and	and	CCONJ
easat-6182	153	7	convenient	convenient	ADJ
easat-6182	153	8	to	to	PART
easat-6182	153	9	determine	determine	VERB
easat-6182	153	10	;	;	PUNCT
easat-6182	153	11	it	it	PRON
easat-6182	153	12	could	could	AUX
easat-6182	153	13	be	be	AUX
easat-6182	153	14	more	more	ADV
easat-6182	153	15	suitable	suitable	ADJ
easat-6182	153	16	for	for	ADP
easat-6182	153	17	ambiguous	ambiguous	ADJ
easat-6182	153	18	situations	situation	NOUN
easat-6182	153	19	.	.	PUNCT
easat-6182	154	1	such	such	ADJ
easat-6182	154	2	flexibility	flexibility	NOUN
easat-6182	154	3	in	in	ADP
easat-6182	154	4	modeling	modeling	NOUN
easat-6182	154	5	is	be	AUX
easat-6182	154	6	particularly	particularly	ADV
easat-6182	154	7	suitable	suitable	ADJ
easat-6182	154	8	for	for	ADP
easat-6182	154	9	image	image	NOUN
easat-6182	154	10	analysis	analysis	NOUN
easat-6182	154	11	and	and	CCONJ
easat-6182	154	12	multiplefactor	multiplefactor	NOUN
easat-6182	154	13	predictions	prediction	NOUN
easat-6182	154	14	.	.	PUNCT
easat-6182	155	1	sensitivity	sensitivity	NOUN
easat-6182	155	2	to	to	ADP
easat-6182	155	3	outliers	outlier	NOUN
easat-6182	155	4	superior	superior	ADJ
easat-6182	155	5	to	to	ADP
easat-6182	155	6	simple	simple	ADJ
easat-6182	155	7	linear	linear	ADJ
easat-6182	155	8	regression	regression	NOUN
easat-6182	155	9	due	due	ADP
easat-6182	155	10	to	to	ADP
easat-6182	155	11	the	the	DET
easat-6182	155	12	mature	mature	ADJ
easat-6182	155	13	fuzzy	fuzzy	ADJ
easat-6182	155	14	logic	logic	NOUN
easat-6182	155	15	of	of	ADP
easat-6182	155	16	classifying	classify	VERB
easat-6182	155	17	the	the	DET
easat-6182	155	18	data	datum	NOUN
easat-6182	155	19	.	.	PUNCT
easat-6182	156	1	noisy	noisy	ADJ
easat-6182	156	2	data	datum	NOUN
easat-6182	156	3	pose	pose	VERB
easat-6182	156	4	a	a	DET
easat-6182	156	5	difficulty	difficulty	NOUN
easat-6182	156	6	,	,	PUNCT
easat-6182	156	7	but	but	CCONJ
easat-6182	156	8	it	it	PRON
easat-6182	156	9	is	be	AUX
easat-6182	156	10	not	not	PART
easat-6182	156	11	significant	significant	ADJ
easat-6182	156	12	compared	compare	VERB
easat-6182	156	13	to	to	ADP
easat-6182	156	14	other	other	ADJ
easat-6182	156	15	problems	problem	NOUN
easat-6182	156	16	,	,	PUNCT
easat-6182	156	17	and	and	CCONJ
easat-6182	156	18	pruning	prune	VERB
easat-6182	156	19	counteracts	counteract	NOUN
easat-6182	156	20	overfitting	overfitte	VERB
easat-6182	156	21	.	.	PUNCT
easat-6182	157	1	they	they	PRON
easat-6182	157	2	are	be	AUX
easat-6182	157	3	significantly	significantly	ADV
easat-6182	157	4	influenced	influence	VERB
easat-6182	157	5	by	by	ADP
easat-6182	157	6	outliers	outlier	NOUN
easat-6182	157	7	unless	unless	SCONJ
easat-6182	157	8	techniques	technique	NOUN
easat-6182	157	9	such	such	ADJ
easat-6182	157	10	as	as	ADP
easat-6182	157	11	regularization	regularization	NOUN
easat-6182	157	12	are	be	AUX
easat-6182	157	13	used	use	VERB
easat-6182	157	14	.	.	PUNCT
easat-6182	158	1	data	datum	NOUN
easat-6182	158	2	requirements	requirement	NOUN
easat-6182	158	3	fuzzy	fuzzy	ADJ
easat-6182	158	4	logic	logic	NOUN
easat-6182	158	5	is	be	AUX
easat-6182	158	6	sensitive	sensitive	ADJ
easat-6182	158	7	to	to	ADP
easat-6182	158	8	small	small	ADJ
easat-6182	158	9	to	to	AUX
easat-6182	158	10	moderate	moderate	ADJ
easat-6182	158	11	amounts	amount	NOUN
easat-6182	158	12	of	of	ADP
easat-6182	158	13	data	datum	NOUN
easat-6182	158	14	;	;	PUNCT
easat-6182	158	15	it	it	PRON
easat-6182	158	16	can	can	AUX
easat-6182	158	17	learn	learn	VERB
easat-6182	158	18	from	from	ADP
easat-6182	158	19	and	and	CCONJ
easat-6182	158	20	reason	reason	NOUN
easat-6182	158	21	with	with	ADP
easat-6182	158	22	limited	limited	ADJ
easat-6182	158	23	or	or	CCONJ
easat-6182	158	24	even	even	ADV
easat-6182	158	25	ambiguous	ambiguous	ADJ
easat-6182	158	26	data	datum	NOUN
easat-6182	158	27	.	.	PUNCT
easat-6182	159	1	gains	gain	VERB
easat-6182	159	2	a	a	DET
easat-6182	159	3	medium	medium	ADJ
easat-6182	159	4	amount	amount	NOUN
easat-6182	159	5	of	of	ADP
easat-6182	159	6	information	information	NOUN
easat-6182	159	7	;	;	PUNCT
easat-6182	159	8	when	when	SCONJ
easat-6182	159	9	the	the	DET
easat-6182	159	10	data	datum	NOUN
easat-6182	159	11	are	be	AUX
easat-6182	159	12	too	too	ADV
easat-6182	159	13	small	small	ADJ
easat-6182	159	14	,	,	PUNCT
easat-6182	159	15	it	it	PRON
easat-6182	159	16	tends	tend	VERB
easat-6182	159	17	to	to	PART
easat-6182	159	18	overfit	overfit	VERB
easat-6182	159	19	.	.	PUNCT
easat-6182	160	1	it	it	PRON
easat-6182	160	2	is	be	AUX
easat-6182	160	3	limited	limit	VERB
easat-6182	160	4	by	by	ADP
easat-6182	160	5	the	the	DET
easat-6182	160	6	demand	demand	NOUN
easat-6182	160	7	for	for	ADP
easat-6182	160	8	large	large	ADJ
easat-6182	160	9	datasets	dataset	NOUN
easat-6182	160	10	in	in	ADP
easat-6182	160	11	order	order	NOUN
easat-6182	160	12	to	to	PART
easat-6182	160	13	get	get	VERB
easat-6182	160	14	the	the	DET
easat-6182	160	15	best	good	ADJ
easat-6182	160	16	performance	performance	NOUN
easat-6182	160	17	,	,	PUNCT
easat-6182	160	18	especially	especially	ADV
easat-6182	160	19	in	in	ADP
easat-6182	160	20	deep	deep	ADJ
easat-6182	160	21	learning	learning	NOUN
easat-6182	160	22	.	.	PUNCT
easat-6182	161	1	1107	1107	NUM
easat-6182	161	2	edelweiss	edelweiss	PROPN
easat-6182	161	3	applied	apply	VERB
easat-6182	161	4	science	science	NOUN
easat-6182	161	5	and	and	CCONJ
easat-6182	161	6	technology	technology	NOUN
easat-6182	161	7	issn	issn	PROPN
easat-6182	161	8	:	:	PUNCT
easat-6182	161	9	2576	2576	NUM
easat-6182	161	10	-	-	SYM
easat-6182	161	11	8484	8484	NUM
easat-6182	161	12	vol	vol	NOUN
easat-6182	161	13	.	.	PROPN
easat-6182	162	1	9	9	NUM
easat-6182	162	2	,	,	PUNCT
easat-6182	162	3	no	no	INTJ
easat-6182	162	4	.	.	NOUN
easat-6182	162	5	4	4	NUM
easat-6182	162	6	:	:	PUNCT
easat-6182	162	7	1101	1101	NUM
easat-6182	162	8	-	-	PUNCT
easat-6182	162	9	1109	1109	NUM
easat-6182	162	10	,	,	PUNCT
easat-6182	162	11	2025	2025	NUM
easat-6182	162	12	doi	doi	NOUN
easat-6182	162	13	:	:	PUNCT
easat-6182	162	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	162	15	©	©	PROPN
easat-6182	162	16	2025	2025	NUM
easat-6182	162	17	by	by	ADP
easat-6182	162	18	the	the	DET
easat-6182	162	19	authors	author	NOUN
easat-6182	162	20	;	;	PUNCT
easat-6182	162	21	licensee	licensee	PROPN
easat-6182	162	22	learning	learning	NOUN
easat-6182	162	23	gate	gate	NOUN
easat-6182	162	24	5	5	NUM
easat-6182	162	25	.	.	PUNCT
easat-6182	163	1	recommendations	recommendation	NOUN
easat-6182	163	2	for	for	ADP
easat-6182	163	3	future	future	ADJ
easat-6182	163	4	research	research	NOUN
easat-6182	163	5	it	it	PRON
easat-6182	163	6	is	be	AUX
easat-6182	163	7	suggested	suggest	VERB
easat-6182	163	8	that	that	SCONJ
easat-6182	163	9	future	future	ADJ
easat-6182	163	10	work	work	NOUN
easat-6182	163	11	on	on	ADP
easat-6182	163	12	the	the	DET
easat-6182	163	13	detection	detection	NOUN
easat-6182	163	14	of	of	ADP
easat-6182	163	15	breast	breast	NOUN
easat-6182	163	16	cancer	cancer	NOUN
easat-6182	163	17	should	should	AUX
easat-6182	163	18	continue	continue	VERB
easat-6182	163	19	to	to	PART
easat-6182	163	20	improve	improve	VERB
easat-6182	163	21	the	the	DET
easat-6182	163	22	hybrid	hybrid	ADJ
easat-6182	163	23	model	model	NOUN
easat-6182	163	24	that	that	PRON
easat-6182	163	25	combines	combine	VERB
easat-6182	163	26	fuzzy	fuzzy	ADJ
easat-6182	163	27	logic	logic	NOUN
easat-6182	163	28	with	with	ADP
easat-6182	163	29	better	well	ADJ
easat-6182	163	30	artificial	artificial	ADJ
easat-6182	163	31	intelligence	intelligence	NOUN
easat-6182	163	32	mechanisms	mechanism	NOUN
easat-6182	163	33	.	.	PUNCT
easat-6182	164	1	although	although	SCONJ
easat-6182	164	2	i	i	PRON
easat-6182	164	3	fundamentally	fundamentally	ADV
easat-6182	164	4	agree	agree	VERB
easat-6182	164	5	with	with	ADP
easat-6182	164	6	the	the	DET
easat-6182	164	7	idea	idea	NOUN
easat-6182	164	8	of	of	ADP
easat-6182	164	9	using	use	VERB
easat-6182	164	10	fuzzy	fuzzy	ADJ
easat-6182	164	11	logic	logic	NOUN
easat-6182	164	12	systems	system	NOUN
easat-6182	164	13	over	over	ADP
easat-6182	164	14	the	the	DET
easat-6182	164	15	linear	linear	ADJ
easat-6182	164	16	regression	regression	NOUN
easat-6182	164	17	methods	method	NOUN
easat-6182	164	18	when	when	SCONJ
easat-6182	164	19	it	it	PRON
easat-6182	164	20	comes	come	VERB
easat-6182	164	21	to	to	ADP
easat-6182	164	22	breast	breast	NOUN
easat-6182	164	23	cancer	cancer	NOUN
easat-6182	164	24	risk	risk	NOUN
easat-6182	164	25	assessment	assessment	NOUN
easat-6182	164	26	,	,	PUNCT
easat-6182	164	27	silva	silva	PROPN
easat-6182	164	28	araújo	araújo	PROPN
easat-6182	164	29	,	,	PUNCT
easat-6182	164	30	et	et	PROPN
easat-6182	164	31	al	al	PROPN
easat-6182	164	32	.	.	PUNCT
easat-6182	165	1	[	[	X
easat-6182	165	2	15	15	NUM
easat-6182	165	3	]	]	PUNCT
easat-6182	165	4	pointed	point	VERB
easat-6182	165	5	out	out	ADP
easat-6182	165	6	better	well	ADJ
easat-6182	165	7	accuracy	accuracy	NOUN
easat-6182	165	8	and	and	CCONJ
easat-6182	165	9	recall	recall	NOUN
easat-6182	165	10	.	.	PUNCT
easat-6182	166	1	as	as	ADP
easat-6182	166	2	per	per	ADP
easat-6182	166	3	their	their	PRON
easat-6182	166	4	recommendations	recommendation	NOUN
easat-6182	166	5	,	,	PUNCT
easat-6182	166	6	they	they	PRON
easat-6182	166	7	argued	argue	VERB
easat-6182	166	8	that	that	SCONJ
easat-6182	166	9	fuzzy	fuzzy	ADJ
easat-6182	166	10	logic	logic	NOUN
easat-6182	166	11	can	can	AUX
easat-6182	166	12	enhance	enhance	VERB
easat-6182	166	13	risk	risk	NOUN
easat-6182	166	14	assessment	assessment	NOUN
easat-6182	166	15	outcomes	outcome	NOUN
easat-6182	166	16	in	in	ADP
easat-6182	166	17	cases	case	NOUN
easat-6182	166	18	where	where	SCONJ
easat-6182	166	19	data	datum	NOUN
easat-6182	166	20	are	be	AUX
easat-6182	166	21	questionable	questionable	ADJ
easat-6182	166	22	.	.	PUNCT
easat-6182	167	1	altameem	altameem	PROPN
easat-6182	167	2	,	,	PUNCT
easat-6182	167	3	et	et	PROPN
easat-6182	167	4	al	al	PROPN
easat-6182	167	5	.	.	PUNCT
easat-6182	168	1	[	[	X
easat-6182	168	2	22	22	NUM
easat-6182	168	3	]	]	PUNCT
easat-6182	168	4	affirm	affirm	NOUN
easat-6182	168	5	this	this	DET
easat-6182	168	6	claim	claim	NOUN
easat-6182	168	7	by	by	ADP
easat-6182	168	8	analyzing	analyze	VERB
easat-6182	168	9	the	the	DET
easat-6182	168	10	role	role	NOUN
easat-6182	168	11	of	of	ADP
easat-6182	168	12	fuzzy	fuzzy	ADJ
easat-6182	168	13	logic	logic	NOUN
easat-6182	168	14	with	with	ADP
easat-6182	168	15	linear	linear	ADJ
easat-6182	168	16	regression	regression	NOUN
easat-6182	168	17	in	in	ADP
easat-6182	168	18	the	the	DET
easat-6182	168	19	assessment	assessment	NOUN
easat-6182	168	20	of	of	ADP
easat-6182	168	21	mammograms	mammogram	NOUN
easat-6182	168	22	.	.	PUNCT
easat-6182	169	1	researchers	researcher	NOUN
easat-6182	169	2	identify	identify	VERB
easat-6182	169	3	enhanced	enhanced	ADJ
easat-6182	169	4	performance	performance	NOUN
easat-6182	169	5	measures	measure	NOUN
easat-6182	169	6	and	and	CCONJ
easat-6182	169	7	thus	thus	ADV
easat-6182	169	8	conclude	conclude	VERB
easat-6182	169	9	that	that	SCONJ
easat-6182	169	10	,	,	PUNCT
easat-6182	169	11	overall	overall	ADJ
easat-6182	169	12	,	,	PUNCT
easat-6182	169	13	hybrid	hybrid	ADJ
easat-6182	169	14	strategies	strategy	NOUN
easat-6182	169	15	have	have	VERB
easat-6182	169	16	great	great	ADJ
easat-6182	169	17	potential	potential	NOUN
easat-6182	169	18	to	to	ADP
easat-6182	169	19	outcompete	outcompete	ADJ
easat-6182	169	20	conventional	conventional	ADJ
easat-6182	169	21	methods	method	NOUN
easat-6182	169	22	.	.	PUNCT
easat-6182	170	1	as	as	SCONJ
easat-6182	170	2	both	both	DET
easat-6182	170	3	these	these	DET
easat-6182	170	4	studies	study	NOUN
easat-6182	170	5	acknowledge	acknowledge	VERB
easat-6182	170	6	that	that	SCONJ
easat-6182	170	7	the	the	DET
easat-6182	170	8	application	application	NOUN
easat-6182	170	9	of	of	ADP
easat-6182	170	10	both	both	PRON
easat-6182	170	11	fuzzy	fuzzy	ADJ
easat-6182	170	12	logic	logic	NOUN
easat-6182	170	13	and	and	CCONJ
easat-6182	170	14	linear	linear	ADJ
easat-6182	170	15	regression	regression	NOUN
easat-6182	170	16	for	for	ADP
easat-6182	170	17	integration	integration	NOUN
easat-6182	170	18	is	be	AUX
easat-6182	170	19	feasible	feasible	ADJ
easat-6182	170	20	,	,	PUNCT
easat-6182	170	21	their	their	PRON
easat-6182	170	22	approaches	approach	NOUN
easat-6182	170	23	deviate	deviate	VERB
easat-6182	170	24	with	with	ADP
easat-6182	170	25	respect	respect	NOUN
easat-6182	170	26	to	to	ADP
easat-6182	170	27	the	the	DET
easat-6182	170	28	considerations	consideration	NOUN
easat-6182	170	29	of	of	ADP
easat-6182	170	30	particular	particular	ADJ
easat-6182	170	31	areas	area	NOUN
easat-6182	170	32	of	of	ADP
easat-6182	170	33	use	use	NOUN
easat-6182	170	34	and	and	CCONJ
easat-6182	170	35	ways	way	NOUN
easat-6182	170	36	of	of	ADP
easat-6182	170	37	their	their	PRON
easat-6182	170	38	application	application	NOUN
easat-6182	170	39	.	.	PUNCT
easat-6182	171	1	silva	silva	PROPN
easat-6182	171	2	araújo	araújo	PROPN
easat-6182	171	3	,	,	PUNCT
easat-6182	171	4	et	et	PROPN
easat-6182	171	5	al	al	PROPN
easat-6182	171	6	.	.	PUNCT
easat-6182	172	1	[	[	X
easat-6182	172	2	15	15	NUM
easat-6182	172	3	]	]	X
easat-6182	172	4	elaborate	elaborate	NOUN
easat-6182	172	5	on	on	ADP
easat-6182	172	6	the	the	DET
easat-6182	172	7	theoretical	theoretical	ADJ
easat-6182	172	8	benefits	benefit	NOUN
easat-6182	172	9	;	;	PUNCT
easat-6182	172	10	however	however	ADV
easat-6182	172	11	,	,	PUNCT
easat-6182	172	12	altameem	altameem	PROPN
easat-6182	172	13	,	,	PUNCT
easat-6182	172	14	et	et	PROPN
easat-6182	172	15	al	al	PROPN
easat-6182	172	16	.	.	PUNCT
easat-6182	173	1	[	[	X
easat-6182	173	2	22	22	NUM
easat-6182	173	3	]	]	PUNCT
easat-6182	173	4	;	;	PUNCT
easat-6182	173	5	murad	murad	NOUN
easat-6182	173	6	and	and	CCONJ
easat-6182	173	7	badeel	badeel	NOUN
easat-6182	173	8	[	[	X
easat-6182	173	9	23	23	NUM
easat-6182	173	10	]	]	PUNCT
easat-6182	173	11	and	and	CCONJ
easat-6182	173	12	adday	adday	NOUN
easat-6182	173	13	,	,	PUNCT
easat-6182	173	14	et	et	PROPN
easat-6182	173	15	al	al	PROPN
easat-6182	173	16	.	.	PUNCT
easat-6182	174	1	[	[	X
easat-6182	174	2	24	24	NUM
easat-6182	174	3	]	]	PUNCT
easat-6182	174	4	.	.	PUNCT
easat-6182	175	1	show	show	VERB
easat-6182	175	2	better	well	ADJ
easat-6182	175	3	results	result	NOUN
easat-6182	175	4	from	from	ADP
easat-6182	175	5	the	the	DET
easat-6182	175	6	research	research	NOUN
easat-6182	175	7	.	.	PUNCT
easat-6182	176	1	it	it	PRON
easat-6182	176	2	is	be	AUX
easat-6182	176	3	essential	essential	ADJ
easat-6182	176	4	to	to	PART
easat-6182	176	5	continue	continue	VERB
easat-6182	176	6	research	research	NOUN
easat-6182	176	7	in	in	ADP
easat-6182	176	8	this	this	DET
easat-6182	176	9	field	field	NOUN
easat-6182	176	10	as	as	SCONJ
easat-6182	176	11	this	this	DET
easat-6182	176	12	example	example	NOUN
easat-6182	176	13	indicates	indicate	VERB
easat-6182	176	14	the	the	DET
easat-6182	176	15	versatility	versatility	NOUN
easat-6182	176	16	of	of	ADP
easat-6182	176	17	the	the	DET
easat-6182	176	18	use	use	NOUN
easat-6182	176	19	of	of	ADP
easat-6182	176	20	fuzzy	fuzzy	ADJ
easat-6182	176	21	logic	logic	NOUN
easat-6182	176	22	.	.	PUNCT
easat-6182	177	1	in	in	ADP
easat-6182	177	2	addition	addition	NOUN
easat-6182	177	3	,	,	PUNCT
easat-6182	177	4	the	the	DET
easat-6182	177	5	researchers	researcher	NOUN
easat-6182	177	6	should	should	AUX
easat-6182	177	7	look	look	VERB
easat-6182	177	8	forward	forward	ADV
easat-6182	177	9	to	to	ADP
easat-6182	177	10	applying	apply	VERB
easat-6182	177	11	fuzzy	fuzzy	ADJ
easat-6182	177	12	logic	logic	NOUN
easat-6182	177	13	combined	combine	VERB
easat-6182	177	14	with	with	ADP
easat-6182	177	15	other	other	ADJ
easat-6182	177	16	higher	high	ADJ
easat-6182	177	17	-	-	PUNCT
easat-6182	177	18	order	order	NOUN
easat-6182	177	19	intelligent	intelligent	ADJ
easat-6182	177	20	mechanisms	mechanism	NOUN
easat-6182	177	21	like	like	ADP
easat-6182	177	22	deep	deep	ADJ
easat-6182	177	23	learning	learning	NOUN
easat-6182	177	24	algorithms	algorithm	NOUN
easat-6182	177	25	.	.	PUNCT
easat-6182	178	1	a	a	DET
easat-6182	178	2	paper	paper	NOUN
easat-6182	178	3	by	by	ADP
easat-6182	178	4	baldwin	baldwin	PROPN
easat-6182	178	5	[	[	X
easat-6182	178	6	25	25	NUM
easat-6182	178	7	]	]	PUNCT
easat-6182	178	8	and	and	CCONJ
easat-6182	178	9	murad	murad	NOUN
easat-6182	178	10	,	,	PUNCT
easat-6182	178	11	et	et	PROPN
easat-6182	178	12	al	al	PROPN
easat-6182	178	13	.	.	PUNCT
easat-6182	179	1	[	[	X
easat-6182	179	2	26	26	NUM
easat-6182	179	3	]	]	PUNCT
easat-6182	179	4	shows	show	VERB
easat-6182	179	5	that	that	SCONJ
easat-6182	179	6	higher	high	ADJ
easat-6182	179	7	numbers	number	NOUN
easat-6182	179	8	,	,	PUNCT
easat-6182	179	9	such	such	ADJ
easat-6182	179	10	as	as	ADP
easat-6182	179	11	top	top	ADJ
easat-6182	179	12	5	5	NUM
easat-6182	179	13	errors	error	NOUN
easat-6182	179	14	,	,	PUNCT
easat-6182	179	15	can	can	AUX
easat-6182	179	16	be	be	AUX
easat-6182	179	17	reduced	reduce	VERB
easat-6182	179	18	through	through	ADP
easat-6182	179	19	integrating	integrate	VERB
easat-6182	179	20	deep	deep	ADJ
easat-6182	179	21	learning	learn	VERB
easat-6182	179	22	the	the	DET
easat-6182	179	23	linear	linear	ADJ
easat-6182	179	24	regression	regression	NOUN
easat-6182	179	25	formula	formula	NOUN
easat-6182	179	26	,	,	PUNCT
easat-6182	179	27	even	even	ADV
easat-6182	179	28	though	though	SCONJ
easat-6182	179	29	this	this	PRON
easat-6182	179	30	decreases	decrease	VERB
easat-6182	179	31	performance	performance	NOUN
easat-6182	179	32	substantially	substantially	ADV
easat-6182	179	33	in	in	ADP
easat-6182	179	34	accuracy	accuracy	NOUN
easat-6182	179	35	in	in	ADP
easat-6182	179	36	comparison	comparison	NOUN
easat-6182	179	37	to	to	ADP
easat-6182	179	38	standard	standard	ADJ
easat-6182	179	39	models	model	NOUN
easat-6182	179	40	.	.	PUNCT
easat-6182	180	1	it	it	PRON
easat-6182	180	2	would	would	AUX
easat-6182	180	3	be	be	AUX
easat-6182	180	4	exciting	exciting	ADJ
easat-6182	180	5	to	to	PART
easat-6182	180	6	investigate	investigate	VERB
easat-6182	180	7	how	how	SCONJ
easat-6182	180	8	fuzzy	fuzzy	ADJ
easat-6182	180	9	logic	logic	NOUN
easat-6182	180	10	might	might	AUX
easat-6182	180	11	help	help	VERB
easat-6182	180	12	deepen	deepen	VERB
easat-6182	180	13	architectures	architecture	NOUN
easat-6182	180	14	of	of	ADP
easat-6182	180	15	deep	deep	ADJ
easat-6182	180	16	learning	learning	NOUN
easat-6182	180	17	for	for	ADP
easat-6182	180	18	breast	breast	NOUN
easat-6182	180	19	cancer	cancer	NOUN
easat-6182	180	20	detection	detection	NOUN
easat-6182	180	21	and	and	CCONJ
easat-6182	180	22	whether	whether	SCONJ
easat-6182	180	23	new	new	ADJ
easat-6182	180	24	venues	venue	NOUN
easat-6182	180	25	for	for	ADP
easat-6182	180	26	better	well	ADJ
easat-6182	180	27	possible	possible	ADJ
easat-6182	180	28	diagnosis	diagnosis	NOUN
easat-6182	180	29	can	can	AUX
easat-6182	180	30	be	be	AUX
easat-6182	180	31	accomplished	accomplish	VERB
easat-6182	180	32	.	.	PUNCT
easat-6182	181	1	hence	hence	ADV
easat-6182	181	2	,	,	PUNCT
easat-6182	181	3	there	there	PRON
easat-6182	181	4	is	be	VERB
easat-6182	181	5	a	a	DET
easat-6182	181	6	proposition	proposition	NOUN
easat-6182	181	7	that	that	SCONJ
easat-6182	181	8	combining	combine	VERB
easat-6182	181	9	fuzzy	fuzzy	ADJ
easat-6182	181	10	logic	logic	NOUN
easat-6182	181	11	with	with	ADP
easat-6182	181	12	other	other	ADJ
easat-6182	181	13	higher	high	ADJ
easat-6182	181	14	-	-	PUNCT
easat-6182	181	15	order	order	NOUN
easat-6182	181	16	modeling	modeling	NOUN
easat-6182	181	17	tools	tool	NOUN
easat-6182	181	18	like	like	ADP
easat-6182	181	19	neural	neural	ADJ
easat-6182	181	20	nets	net	NOUN
easat-6182	181	21	and	and	CCONJ
easat-6182	181	22	decision	decision	NOUN
easat-6182	181	23	trees	tree	NOUN
easat-6182	181	24	may	may	AUX
easat-6182	181	25	improve	improve	VERB
easat-6182	181	26	the	the	DET
easat-6182	181	27	prospects	prospect	NOUN
easat-6182	181	28	for	for	ADP
easat-6182	181	29	breast	breast	NOUN
easat-6182	181	30	cancer	cancer	NOUN
easat-6182	181	31	detection	detection	NOUN
easat-6182	181	32	.	.	PUNCT
easat-6182	182	1	future	future	ADJ
easat-6182	182	2	studies	study	NOUN
easat-6182	182	3	should	should	AUX
easat-6182	182	4	focus	focus	VERB
easat-6182	182	5	on	on	ADP
easat-6182	182	6	broadening	broaden	VERB
easat-6182	182	7	such	such	ADJ
easat-6182	182	8	models	model	NOUN
easat-6182	182	9	to	to	PART
easat-6182	182	10	deal	deal	VERB
easat-6182	182	11	with	with	ADP
easat-6182	182	12	the	the	DET
easat-6182	182	13	challenges	challenge	NOUN
easat-6182	182	14	in	in	ADP
easat-6182	182	15	clinical	clinical	ADJ
easat-6182	182	16	data	datum	NOUN
easat-6182	182	17	and	and	CCONJ
easat-6182	182	18	enhance	enhance	VERB
easat-6182	182	19	the	the	DET
easat-6182	182	20	accuracy	accuracy	NOUN
easat-6182	182	21	of	of	ADP
easat-6182	182	22	diagnosis	diagnosis	NOUN
easat-6182	182	23	.	.	PUNCT
easat-6182	183	1	in	in	ADP
easat-6182	183	2	this	this	DET
easat-6182	183	3	context	context	NOUN
easat-6182	183	4	,	,	PUNCT
easat-6182	183	5	it	it	PRON
easat-6182	183	6	will	will	AUX
easat-6182	183	7	be	be	AUX
easat-6182	183	8	possible	possible	ADJ
easat-6182	183	9	to	to	PART
easat-6182	183	10	strengthen	strengthen	VERB
easat-6182	183	11	the	the	DET
easat-6182	183	12	potential	potential	NOUN
easat-6182	183	13	of	of	ADP
easat-6182	183	14	fuzzy	fuzzy	ADJ
easat-6182	183	15	logic	logic	NOUN
easat-6182	183	16	combined	combine	VERB
easat-6182	183	17	with	with	ADP
easat-6182	183	18	improved	improved	ADJ
easat-6182	183	19	ai	ai	NOUN
easat-6182	183	20	approaches	approach	NOUN
easat-6182	183	21	that	that	PRON
easat-6182	183	22	can	can	AUX
easat-6182	183	23	open	open	VERB
easat-6182	183	24	the	the	DET
easat-6182	183	25	right	right	ADJ
easat-6182	183	26	avenue	avenue	NOUN
easat-6182	183	27	towards	towards	ADP
easat-6182	183	28	breast	breast	NOUN
easat-6182	183	29	cancer	cancer	NOUN
easat-6182	183	30	diagnosis	diagnosis	NOUN
easat-6182	183	31	with	with	ADP
easat-6182	183	32	higher	high	ADJ
easat-6182	183	33	efficiency	efficiency	NOUN
easat-6182	183	34	and	and	CCONJ
easat-6182	183	35	accuracy	accuracy	NOUN
easat-6182	183	36	.	.	PUNCT
easat-6182	184	1	6	6	X
easat-6182	184	2	.	.	X
easat-6182	184	3	conclusions	conclusion	NOUN
easat-6182	184	4	conclusively	conclusively	ADV
easat-6182	184	5	,	,	PUNCT
easat-6182	184	6	though	though	SCONJ
easat-6182	184	7	easy	easy	ADJ
easat-6182	184	8	to	to	PART
easat-6182	184	9	understand	understand	VERB
easat-6182	184	10	and	and	CCONJ
easat-6182	184	11	interpret	interpret	VERB
easat-6182	184	12	,	,	PUNCT
easat-6182	184	13	linear	linear	ADJ
easat-6182	184	14	regression	regression	NOUN
easat-6182	184	15	tends	tend	VERB
easat-6182	184	16	to	to	PART
easat-6182	184	17	produce	produce	VERB
easat-6182	184	18	poor	poor	ADJ
easat-6182	184	19	results	result	NOUN
easat-6182	184	20	in	in	ADP
easat-6182	184	21	the	the	DET
easat-6182	184	22	case	case	NOUN
easat-6182	184	23	of	of	ADP
easat-6182	184	24	breast	breast	NOUN
easat-6182	184	25	cancer	cancer	NOUN
easat-6182	184	26	detection	detection	NOUN
easat-6182	184	27	because	because	SCONJ
easat-6182	184	28	it	it	PRON
easat-6182	184	29	assumes	assume	VERB
easat-6182	184	30	linearity	linearity	NOUN
easat-6182	184	31	and	and	CCONJ
easat-6182	184	32	is	be	AUX
easat-6182	184	33	highly	highly	ADV
easat-6182	184	34	sensitive	sensitive	ADJ
easat-6182	184	35	to	to	ADP
easat-6182	184	36	noisy	noisy	ADJ
easat-6182	184	37	data	datum	NOUN
easat-6182	184	38	.	.	PUNCT
easat-6182	185	1	at	at	ADP
easat-6182	185	2	the	the	DET
easat-6182	185	3	same	same	ADJ
easat-6182	185	4	time	time	NOUN
easat-6182	185	5	,	,	PUNCT
easat-6182	185	6	it	it	PRON
easat-6182	185	7	can	can	AUX
easat-6182	185	8	prove	prove	VERB
easat-6182	185	9	helpful	helpful	ADJ
easat-6182	185	10	in	in	ADP
easat-6182	185	11	understanding	understand	VERB
easat-6182	185	12	certain	certain	ADJ
easat-6182	185	13	relationships	relationship	NOUN
easat-6182	185	14	between	between	ADP
easat-6182	185	15	the	the	DET
easat-6182	185	16	parameters	parameter	NOUN
easat-6182	185	17	,	,	PUNCT
easat-6182	185	18	for	for	ADP
easat-6182	185	19	instance	instance	NOUN
easat-6182	185	20	,	,	PUNCT
easat-6182	185	21	the	the	DET
easat-6182	185	22	tumor	tumor	NOUN
easat-6182	185	23	size	size	NOUN
easat-6182	185	24	and	and	CCONJ
easat-6182	185	25	the	the	DET
easat-6182	185	26	risk	risk	NOUN
easat-6182	185	27	of	of	ADP
easat-6182	185	28	malignancy	malignancy	NOUN
easat-6182	185	29	,	,	PUNCT
easat-6182	185	30	while	while	SCONJ
easat-6182	185	31	being	be	AUX
easat-6182	185	32	much	much	ADV
easat-6182	185	33	less	less	ADV
easat-6182	185	34	accurate	accurate	ADJ
easat-6182	185	35	than	than	ADP
easat-6182	185	36	the	the	DET
easat-6182	185	37	neural	neural	ADJ
easat-6182	185	38	networks	network	NOUN
easat-6182	185	39	.	.	PUNCT
easat-6182	186	1	the	the	DET
easat-6182	186	2	integration	integration	NOUN
easat-6182	186	3	of	of	ADP
easat-6182	186	4	fuzzy	fuzzy	ADJ
easat-6182	186	5	logic	logic	NOUN
easat-6182	186	6	is	be	AUX
easat-6182	186	7	quite	quite	ADV
easat-6182	186	8	significant	significant	ADJ
easat-6182	186	9	by	by	ADP
easat-6182	186	10	providing	provide	VERB
easat-6182	186	11	a	a	DET
easat-6182	186	12	solution	solution	NOUN
easat-6182	186	13	to	to	ADP
easat-6182	186	14	data	data	NOUN
easat-6182	186	15	uncertainty	uncertainty	NOUN
easat-6182	186	16	besides	besides	SCONJ
easat-6182	186	17	dealing	deal	VERB
easat-6182	186	18	with	with	ADP
easat-6182	186	19	nonlinearity	nonlinearity	NOUN
easat-6182	186	20	.	.	PUNCT
easat-6182	187	1	to	to	PART
easat-6182	187	2	overcome	overcome	VERB
easat-6182	187	3	the	the	DET
easat-6182	187	4	limitations	limitation	NOUN
easat-6182	187	5	of	of	ADP
easat-6182	187	6	linear	linear	ADJ
easat-6182	187	7	regression	regression	NOUN
easat-6182	187	8	models	model	NOUN
easat-6182	187	9	are	be	AUX
easat-6182	187	10	made	make	VERB
easat-6182	187	11	fuzzy	fuzzy	ADJ
easat-6182	187	12	,	,	PUNCT
easat-6182	187	13	the	the	DET
easat-6182	187	14	predictions	prediction	NOUN
easat-6182	187	15	are	be	AUX
easat-6182	187	16	more	more	ADV
easat-6182	187	17	accurate	accurate	ADJ
easat-6182	187	18	and	and	CCONJ
easat-6182	187	19	outperform	outperform	VERB
easat-6182	187	20	the	the	DET
easat-6182	187	21	other	other	ADJ
easat-6182	187	22	parameters	parameter	NOUN
easat-6182	187	23	like	like	ADP
easat-6182	187	24	precision	precision	NOUN
easat-6182	187	25	and	and	CCONJ
easat-6182	187	26	recall	recall	NOUN
easat-6182	187	27	,	,	PUNCT
easat-6182	187	28	mainly	mainly	ADV
easat-6182	187	29	in	in	ADP
easat-6182	187	30	the	the	DET
easat-6182	187	31	conditions	condition	NOUN
easat-6182	187	32	when	when	SCONJ
easat-6182	187	33	the	the	DET
easat-6182	187	34	medical	medical	ADJ
easat-6182	187	35	data	data	NOUN
easat-6182	187	36	varies	vary	VERB
easat-6182	187	37	.	.	PUNCT
easat-6182	188	1	some	some	DET
easat-6182	188	2	works	work	NOUN
easat-6182	188	3	prove	prove	VERB
easat-6182	188	4	that	that	SCONJ
easat-6182	188	5	adding	add	VERB
easat-6182	188	6	fuzzy	fuzzy	ADJ
easat-6182	188	7	logic	logic	NOUN
easat-6182	188	8	to	to	ADP
easat-6182	188	9	the	the	DET
easat-6182	188	10	linear	linear	ADJ
easat-6182	188	11	regression	regression	NOUN
easat-6182	188	12	improves	improve	VERB
easat-6182	188	13	the	the	DET
easat-6182	188	14	results	result	NOUN
easat-6182	188	15	obtained	obtain	VERB
easat-6182	188	16	by	by	ADP
easat-6182	188	17	the	the	DET
easat-6182	188	18	linear	linear	ADJ
easat-6182	188	19	regression	regression	NOUN
easat-6182	188	20	alone	alone	ADV
easat-6182	188	21	,	,	PUNCT
easat-6182	188	22	showing	show	VERB
easat-6182	188	23	that	that	SCONJ
easat-6182	188	24	a	a	DET
easat-6182	188	25	hybrid	hybrid	ADJ
easat-6182	188	26	approach	approach	NOUN
easat-6182	188	27	of	of	ADP
easat-6182	188	28	these	these	DET
easat-6182	188	29	two	two	NUM
easat-6182	188	30	techniques	technique	NOUN
easat-6182	188	31	can	can	AUX
easat-6182	188	32	be	be	AUX
easat-6182	188	33	a	a	DET
easat-6182	188	34	good	good	ADJ
easat-6182	188	35	solution	solution	NOUN
easat-6182	188	36	for	for	ADP
easat-6182	188	37	the	the	DET
easat-6182	188	38	first	first	ADJ
easat-6182	188	39	stage	stage	NOUN
easat-6182	188	40	of	of	ADP
easat-6182	188	41	breast	breast	NOUN
easat-6182	188	42	cancer	cancer	NOUN
easat-6182	188	43	diagnosis	diagnosis	NOUN
easat-6182	188	44	.	.	PUNCT
easat-6182	189	1	funding	funding	NOUN
easat-6182	189	2	:	:	PUNCT
easat-6182	189	3	this	this	DET
easat-6182	189	4	research	research	NOUN
easat-6182	189	5	was	be	AUX
easat-6182	189	6	supported	support	VERB
easat-6182	189	7	by	by	ADP
easat-6182	189	8	the	the	DET
easat-6182	189	9	ministry	ministry	PROPN
easat-6182	189	10	of	of	ADP
easat-6182	189	11	higher	high	ADJ
easat-6182	189	12	education	education	NOUN
easat-6182	189	13	(	(	PUNCT
easat-6182	189	14	mohe	mohe	NOUN
easat-6182	189	15	)	)	PUNCT
easat-6182	189	16	through	through	ADP
easat-6182	189	17	the	the	DET
easat-6182	189	18	fundamental	fundamental	ADJ
easat-6182	189	19	research	research	NOUN
easat-6182	189	20	grant	grant	NOUN
easat-6182	189	21	scheme	scheme	NOUN
easat-6182	189	22	(	(	PUNCT
easat-6182	189	23	frgs/1/2024	frgs/1/2024	NOUN
easat-6182	189	24	/	/	SYM
easat-6182	189	25	stg06	stg06	NOUN
easat-6182	189	26	/	/	SYM
easat-6182	189	27	uthm/02/2	uthm/02/2	ADJ
easat-6182	189	28	)	)	PUNCT
easat-6182	189	29	.	.	PUNCT
easat-6182	190	1	1108	1108	NUM
easat-6182	190	2	edelweiss	edelweiss	PROPN
easat-6182	190	3	applied	apply	VERB
easat-6182	190	4	science	science	NOUN
easat-6182	190	5	and	and	CCONJ
easat-6182	190	6	technology	technology	NOUN
easat-6182	190	7	issn	issn	PROPN
easat-6182	190	8	:	:	PUNCT
easat-6182	190	9	2576	2576	NUM
easat-6182	190	10	-	-	SYM
easat-6182	190	11	8484	8484	NUM
easat-6182	190	12	vol	vol	NOUN
easat-6182	190	13	.	.	PROPN
easat-6182	191	1	9	9	NUM
easat-6182	191	2	,	,	PUNCT
easat-6182	191	3	no	no	INTJ
easat-6182	191	4	.	.	NOUN
easat-6182	191	5	4	4	NUM
easat-6182	191	6	:	:	PUNCT
easat-6182	191	7	1101	1101	NUM
easat-6182	191	8	-	-	PUNCT
easat-6182	191	9	1109	1109	NUM
easat-6182	191	10	,	,	PUNCT
easat-6182	191	11	2025	2025	NUM
easat-6182	191	12	doi	doi	NOUN
easat-6182	191	13	:	:	PUNCT
easat-6182	191	14	10.55214/25768484.v9i4.6182	10.55214/25768484.v9i4.6182	PROPN
easat-6182	191	15	©	©	PROPN
easat-6182	191	16	2025	2025	NUM
easat-6182	191	17	by	by	ADP
easat-6182	191	18	the	the	DET
easat-6182	191	19	authors	author	NOUN
easat-6182	191	20	;	;	PUNCT
easat-6182	192	1	licensee	licensee	PROPN
easat-6182	192	2	learning	learn	VERB
easat-6182	192	3	gate	gate	NOUN
easat-6182	192	4	transparency	transparency	NOUN
easat-6182	192	5	:	:	PUNCT
easat-6182	192	6	the	the	DET
easat-6182	192	7	authors	author	NOUN
easat-6182	192	8	confirm	confirm	VERB
easat-6182	192	9	that	that	SCONJ
easat-6182	192	10	the	the	DET
easat-6182	192	11	manuscript	manuscript	NOUN
easat-6182	192	12	is	be	AUX
easat-6182	192	13	an	an	DET
easat-6182	192	14	honest	honest	ADJ
easat-6182	192	15	,	,	PUNCT
easat-6182	192	16	accurate	accurate	ADJ
easat-6182	192	17	,	,	PUNCT
easat-6182	192	18	and	and	CCONJ
easat-6182	192	19	transparent	transparent	ADJ
easat-6182	192	20	account	account	NOUN
easat-6182	192	21	of	of	ADP
easat-6182	192	22	the	the	DET
easat-6182	192	23	study	study	NOUN
easat-6182	192	24	;	;	PUNCT
easat-6182	192	25	that	that	SCONJ
easat-6182	192	26	no	no	DET
easat-6182	192	27	vital	vital	ADJ
easat-6182	192	28	features	feature	NOUN
easat-6182	192	29	of	of	ADP
easat-6182	192	30	the	the	DET
easat-6182	192	31	study	study	NOUN
easat-6182	192	32	have	have	AUX
easat-6182	192	33	been	be	AUX
easat-6182	192	34	omitted	omit	VERB
easat-6182	192	35	;	;	PUNCT
easat-6182	192	36	and	and	CCONJ
easat-6182	192	37	that	that	SCONJ
easat-6182	192	38	any	any	DET
easat-6182	192	39	discrepancies	discrepancy	NOUN
easat-6182	192	40	from	from	ADP
easat-6182	192	41	the	the	DET
easat-6182	192	42	study	study	NOUN
easat-6182	192	43	as	as	SCONJ
easat-6182	192	44	planned	plan	VERB
easat-6182	192	45	have	have	AUX
easat-6182	192	46	been	be	AUX
easat-6182	192	47	explained	explain	VERB
easat-6182	192	48	.	.	PUNCT
easat-6182	193	1	this	this	DET
easat-6182	193	2	study	study	NOUN
easat-6182	193	3	followed	follow	VERB
easat-6182	193	4	all	all	DET
easat-6182	193	5	ethical	ethical	ADJ
easat-6182	193	6	practices	practice	NOUN
easat-6182	193	7	during	during	ADP
easat-6182	193	8	writing	writing	NOUN
easat-6182	193	9	.	.	PUNCT
easat-6182	194	1	copyright	copyright	NOUN
easat-6182	194	2	:	:	PUNCT
easat-6182	194	3	©	©	PROPN
easat-6182	194	4	2025	2025	NUM
easat-6182	194	5	by	by	ADP
easat-6182	194	6	the	the	DET
easat-6182	194	7	authors	author	NOUN
easat-6182	194	8	.	.	PUNCT
easat-6182	195	1	this	this	DET
easat-6182	195	2	open	open	ADJ
easat-6182	195	3	-	-	PUNCT
easat-6182	195	4	access	access	NOUN
easat-6182	195	5	article	article	NOUN
easat-6182	195	6	is	be	AUX
easat-6182	195	7	distributed	distribute	VERB
easat-6182	195	8	under	under	ADP
easat-6182	195	9	the	the	DET
easat-6182	195	10	terms	term	NOUN
easat-6182	195	11	and	and	CCONJ
easat-6182	195	12	conditions	condition	NOUN
easat-6182	195	13	of	of	ADP
easat-6182	195	14	the	the	DET
easat-6182	195	15	creative	creative	ADJ
easat-6182	195	16	commons	common	NOUN
easat-6182	195	17	attribution	attribution	NOUN
easat-6182	195	18	(	(	PUNCT
easat-6182	195	19	cc	cc	NOUN
easat-6182	195	20	by	by	ADP
easat-6182	195	21	)	)	PUNCT
easat-6182	195	22	license	license	NOUN
easat-6182	195	23	(	(	PUNCT
easat-6182	195	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-6182	195	25	)	)	PUNCT
easat-6182	195	26	.	.	PUNCT
easat-6182	196	1	references	reference	NOUN
easat-6182	196	2	[	[	X
easat-6182	196	3	1	1	X
easat-6182	196	4	]	]	PUNCT
easat-6182	196	5	s.	s.	PROPN
easat-6182	196	6	k.	k.	PROPN
easat-6182	196	7	ali	ali	PROPN
easat-6182	196	8	and	and	CCONJ
easat-6182	196	9	w.	w.	PROPN
easat-6182	196	10	k.	k.	PROPN
easat-6182	196	11	mutlag	mutlag	PROPN
easat-6182	196	12	,	,	PUNCT
easat-6182	196	13	"	"	PUNCT
easat-6182	196	14	early	early	ADJ
easat-6182	196	15	detection	detection	NOUN
easat-6182	196	16	for	for	ADP
easat-6182	196	17	breast	breast	NOUN
easat-6182	196	18	cancer	cancer	NOUN
easat-6182	196	19	by	by	ADP
easat-6182	196	20	using	use	VERB
easat-6182	196	21	fuzzy	fuzzy	ADJ
easat-6182	196	22	logic	logic	NOUN
easat-6182	196	23	,	,	PUNCT
easat-6182	196	24	"	"	PUNCT
easat-6182	196	25	journal	journal	NOUN
easat-6182	196	26	of	of	ADP
easat-6182	196	27	theoretical	theoretical	ADJ
easat-6182	196	28	and	and	CCONJ
easat-6182	196	29	applied	apply	VERB
easat-6182	196	30	information	information	NOUN
easat-6182	196	31	technology	technology	NOUN
easat-6182	196	32	,	,	PUNCT
easat-6182	196	33	vol	vol	NOUN
easat-6182	196	34	.	.	PROPN
easat-6182	197	1	96	96	NUM
easat-6182	197	2	,	,	PUNCT
easat-6182	197	3	no	no	INTJ
easat-6182	197	4	.	.	NOUN
easat-6182	197	5	17	17	NUM
easat-6182	197	6	,	,	PUNCT
easat-6182	197	7	pp	pp	ADJ
easat-6182	197	8	.	.	PUNCT
easat-6182	198	1	5717	5717	NUM
easat-6182	198	2	-	-	SYM
easat-6182	198	3	5728	5728	NUM
easat-6182	198	4	,	,	PUNCT
easat-6182	198	5	2018	2018	NUM
easat-6182	198	6	.	.	PUNCT
easat-6182	199	1	[	[	X
easat-6182	199	2	2	2	NUM
easat-6182	199	3	]	]	X
easat-6182	199	4	r.	r.	NOUN
easat-6182	199	5	badeel	badeel	PROPN
easat-6182	199	6	,	,	PUNCT
easat-6182	199	7	s.	s.	PROPN
easat-6182	199	8	k.	k.	PROPN
easat-6182	199	9	subramaniam	subramaniam	PROPN
easat-6182	199	10	,	,	PUNCT
easat-6182	199	11	z.	z.	PROPN
easat-6182	199	12	m.	m.	PROPN
easat-6182	199	13	hanapi	hanapi	NOUN
easat-6182	199	14	,	,	PUNCT
easat-6182	199	15	and	and	CCONJ
easat-6182	199	16	a.	a.	PROPN
easat-6182	199	17	muhammed	muhamme	VERB
easat-6182	199	18	,	,	PUNCT
easat-6182	199	19	"	"	PUNCT
easat-6182	199	20	a	a	DET
easat-6182	199	21	review	review	NOUN
easat-6182	199	22	on	on	ADP
easat-6182	199	23	lifi	lifi	PROPN
easat-6182	199	24	network	network	NOUN
easat-6182	199	25	research	research	NOUN
easat-6182	199	26	:	:	PUNCT
easat-6182	199	27	open	open	ADJ
easat-6182	199	28	issues	issue	NOUN
easat-6182	199	29	,	,	PUNCT
easat-6182	199	30	applications	application	NOUN
easat-6182	199	31	and	and	CCONJ
easat-6182	199	32	future	future	ADJ
easat-6182	199	33	directions	direction	NOUN
easat-6182	199	34	,	,	PUNCT
easat-6182	199	35	"	"	PUNCT
easat-6182	199	36	applied	apply	VERB
easat-6182	199	37	sciences	science	NOUN
easat-6182	199	38	,	,	PUNCT
easat-6182	199	39	vol	vol	NOUN
easat-6182	199	40	.	.	PROPN
easat-6182	199	41	11	11	NUM
easat-6182	199	42	,	,	PUNCT
easat-6182	199	43	no	no	INTJ
easat-6182	199	44	.	.	NOUN
easat-6182	199	45	23	23	NUM
easat-6182	199	46	,	,	PUNCT
easat-6182	199	47	p.	p.	NOUN
easat-6182	199	48	11118	11118	NUM
easat-6182	199	49	,	,	PUNCT
easat-6182	199	50	2021	2021	NUM
easat-6182	199	51	.	.	PUNCT
easat-6182	200	1	https://doi.org/10.3390/app112311118	https://doi.org/10.3390/app112311118	PROPN
easat-6182	201	1	[	[	X
easat-6182	201	2	3	3	NUM
easat-6182	201	3	]	]	X
easat-6182	201	4	r.	r.	PROPN
easat-6182	201	5	belohlavek	belohlavek	PROPN
easat-6182	201	6	,	,	PUNCT
easat-6182	201	7	j.	j.	PROPN
easat-6182	201	8	w.	w.	PROPN
easat-6182	201	9	dauben	dauben	PROPN
easat-6182	201	10	,	,	PUNCT
easat-6182	201	11	and	and	CCONJ
easat-6182	201	12	g.	g.	PROPN
easat-6182	201	13	j.	j.	PROPN
easat-6182	201	14	klir	klir	PROPN
easat-6182	201	15	,	,	PUNCT
easat-6182	201	16	fuzzy	fuzzy	ADJ
easat-6182	201	17	logic	logic	NOUN
easat-6182	201	18	and	and	CCONJ
easat-6182	201	19	mathematics	mathematic	NOUN
easat-6182	201	20	:	:	PUNCT
easat-6182	201	21	a	a	DET
easat-6182	201	22	historical	historical	ADJ
easat-6182	201	23	perspective	perspective	NOUN
easat-6182	201	24	.	.	PUNCT
easat-6182	202	1	united	united	PROPN
easat-6182	202	2	kingdom	kingdom	PROPN
easat-6182	202	3	:	:	PUNCT
easat-6182	202	4	oxford	oxford	PROPN
easat-6182	202	5	university	university	PROPN
easat-6182	202	6	press	press	NOUN
easat-6182	202	7	,	,	PUNCT
easat-6182	202	8	2017	2017	NUM
easat-6182	202	9	.	.	PUNCT
easat-6182	203	1	[	[	X
easat-6182	203	2	4	4	X
easat-6182	203	3	]	]	PUNCT
easat-6182	203	4	j.	j.	PROPN
easat-6182	203	5	yen	yen	PROPN
easat-6182	203	6	,	,	PUNCT
easat-6182	203	7	"	"	PUNCT
easat-6182	203	8	fuzzy	fuzzy	ADJ
easat-6182	203	9	logic	logic	NOUN
easat-6182	203	10	-	-	PUNCT
easat-6182	203	11	a	a	DET
easat-6182	203	12	modern	modern	ADJ
easat-6182	203	13	perspective	perspective	NOUN
easat-6182	203	14	,	,	PUNCT
easat-6182	203	15	"	"	PUNCT
easat-6182	203	16	ieee	ieee	NOUN
easat-6182	203	17	transactions	transaction	NOUN
easat-6182	203	18	on	on	ADP
easat-6182	203	19	knowledge	knowledge	NOUN
easat-6182	203	20	and	and	CCONJ
easat-6182	203	21	data	datum	NOUN
easat-6182	203	22	engineering	engineering	NOUN
easat-6182	203	23	,	,	PUNCT
easat-6182	203	24	vol	vol	NOUN
easat-6182	203	25	.	.	PROPN
easat-6182	203	26	11	11	NUM
easat-6182	203	27	,	,	PUNCT
easat-6182	203	28	no	no	INTJ
easat-6182	203	29	.	.	NOUN
easat-6182	203	30	1	1	NUM
easat-6182	203	31	,	,	PUNCT
easat-6182	203	32	pp	pp	ADJ
easat-6182	203	33	.	.	PUNCT
easat-6182	203	34	153	153	NUM
easat-6182	203	35	-	-	SYM
easat-6182	203	36	165	165	NUM
easat-6182	203	37	,	,	PUNCT
easat-6182	203	38	1999	1999	NUM
easat-6182	203	39	.	.	PUNCT
easat-6182	204	1	https://doi.org/10.1109/69.755624	https://doi.org/10.1109/69.755624	PUNCT
easat-6182	205	1	[	[	X
easat-6182	205	2	5	5	NUM
easat-6182	205	3	]	]	X
easat-6182	205	4	r.	r.	NOUN
easat-6182	205	5	badeel	badeel	PROPN
easat-6182	205	6	,	,	PUNCT
easat-6182	205	7	s.	s.	PROPN
easat-6182	205	8	k.	k.	PROPN
easat-6182	205	9	subramaniam	subramaniam	PROPN
easat-6182	205	10	,	,	PUNCT
easat-6182	205	11	a.	a.	PROPN
easat-6182	205	12	muhammed	muhamme	VERB
easat-6182	205	13	,	,	PUNCT
easat-6182	205	14	and	and	CCONJ
easat-6182	205	15	z.	z.	PROPN
easat-6182	205	16	m.	m.	PROPN
easat-6182	205	17	hanapi	hanapi	NOUN
easat-6182	205	18	,	,	PUNCT
easat-6182	205	19	"	"	PUNCT
easat-6182	205	20	a	a	DET
easat-6182	205	21	multicriteria	multicriteria	NOUN
easat-6182	205	22	decision	decision	NOUN
easat-6182	205	23	-	-	PUNCT
easat-6182	205	24	making	make	VERB
easat-6182	205	25	framework	framework	NOUN
easat-6182	205	26	for	for	ADP
easat-6182	205	27	access	access	NOUN
easat-6182	205	28	point	point	NOUN
easat-6182	205	29	selection	selection	NOUN
easat-6182	205	30	in	in	ADP
easat-6182	205	31	hybrid	hybrid	ADJ
easat-6182	205	32	lifi	lifi	NOUN
easat-6182	205	33	/	/	SYM
easat-6182	205	34	wifi	wifi	NOUN
easat-6182	205	35	networks	network	NOUN
easat-6182	205	36	using	use	VERB
easat-6182	205	37	integrated	integrated	ADJ
easat-6182	205	38	ahp	ahp	NOUN
easat-6182	205	39	–	–	PUNCT
easat-6182	205	40	vikor	vikor	ADJ
easat-6182	205	41	technique	technique	NOUN
easat-6182	205	42	,	,	PUNCT
easat-6182	205	43	"	"	PUNCT
easat-6182	205	44	sensors	sensor	NOUN
easat-6182	205	45	,	,	PUNCT
easat-6182	205	46	vol	vol	NOUN
easat-6182	205	47	.	.	PROPN
easat-6182	206	1	23	23	NUM
easat-6182	206	2	,	,	PUNCT
easat-6182	207	1	no	no	INTJ
easat-6182	207	2	.	.	NOUN
easat-6182	207	3	3	3	NUM
easat-6182	207	4	,	,	PUNCT
easat-6182	207	5	p.	p.	NOUN
easat-6182	207	6	1312	1312	NUM
easat-6182	207	7	,	,	PUNCT
easat-6182	207	8	2023	2023	NUM
easat-6182	207	9	.	.	PUNCT
easat-6182	208	1	https://doi.org/10.3390/s23031312	https://doi.org/10.3390/s23031312	NUM
easat-6182	208	2	[	[	X
easat-6182	208	3	6	6	NUM
easat-6182	208	4	]	]	PUNCT
easat-6182	208	5	a.	a.	NOUN
easat-6182	208	6	alloqmani	alloqmani	PROPN
easat-6182	208	7	,	,	PUNCT
easat-6182	208	8	y.	y.	PROPN
easat-6182	208	9	b.	b.	PROPN
easat-6182	208	10	abushark	abushark	PROPN
easat-6182	208	11	,	,	PUNCT
easat-6182	208	12	and	and	CCONJ
easat-6182	208	13	a.	a.	PROPN
easat-6182	208	14	i.	i.	PROPN
easat-6182	208	15	khan	khan	PROPN
easat-6182	208	16	,	,	PUNCT
easat-6182	208	17	"	"	PUNCT
easat-6182	208	18	anomaly	anomaly	NOUN
easat-6182	208	19	detection	detection	NOUN
easat-6182	208	20	of	of	ADP
easat-6182	208	21	breast	breast	NOUN
easat-6182	208	22	cancer	cancer	NOUN
easat-6182	208	23	using	use	VERB
easat-6182	208	24	deep	deep	ADJ
easat-6182	208	25	learning	learning	NOUN
easat-6182	208	26	,	,	PUNCT
easat-6182	208	27	"	"	PUNCT
easat-6182	208	28	arabian	arabian	ADJ
easat-6182	208	29	journal	journal	NOUN
easat-6182	208	30	for	for	ADP
easat-6182	208	31	science	science	NOUN
easat-6182	208	32	and	and	CCONJ
easat-6182	208	33	engineering	engineering	NOUN
easat-6182	208	34	,	,	PUNCT
easat-6182	208	35	vol	vol	NOUN
easat-6182	208	36	.	.	PROPN
easat-6182	208	37	48	48	NUM
easat-6182	208	38	,	,	PUNCT
easat-6182	208	39	no	no	INTJ
easat-6182	208	40	.	.	NOUN
easat-6182	208	41	8	8	NUM
easat-6182	208	42	,	,	PUNCT
easat-6182	208	43	pp	pp	ADJ
easat-6182	208	44	.	.	PUNCT
easat-6182	208	45	10977	10977	NUM
easat-6182	208	46	-	-	SYM
easat-6182	208	47	11002	11002	NUM
easat-6182	208	48	,	,	PUNCT
easat-6182	208	49	2023	2023	NUM
easat-6182	208	50	.	.	PUNCT
easat-6182	209	1	https://doi.org/10.1007/s13369-02307945-z	https://doi.org/10.1007/s13369-02307945-z	NOUN
easat-6182	210	1	[	[	X
easat-6182	210	2	7	7	X
easat-6182	210	3	]	]	X
easat-6182	210	4	y.	y.	NOUN
easat-6182	210	5	tjendra	tjendra	NOUN
easat-6182	210	6	et	et	PROPN
easat-6182	210	7	al	al	PROPN
easat-6182	210	8	.	.	PROPN
easat-6182	210	9	,	,	PUNCT
easat-6182	210	10	"	"	PUNCT
easat-6182	210	11	predicting	predict	VERB
easat-6182	210	12	disease	disease	NOUN
easat-6182	210	13	severity	severity	NOUN
easat-6182	210	14	and	and	CCONJ
easat-6182	210	15	outcome	outcome	VERB
easat-6182	210	16	in	in	ADP
easat-6182	210	17	covid-19	covid-19	PROPN
easat-6182	210	18	patients	patient	NOUN
easat-6182	210	19	:	:	PUNCT
easat-6182	210	20	a	a	DET
easat-6182	210	21	review	review	NOUN
easat-6182	210	22	of	of	ADP
easat-6182	210	23	multiple	multiple	ADJ
easat-6182	210	24	biomarkers	biomarker	NOUN
easat-6182	210	25	,	,	PUNCT
easat-6182	210	26	"	"	PUNCT
easat-6182	210	27	archives	archive	NOUN
easat-6182	210	28	of	of	ADP
easat-6182	210	29	pathology	pathology	PROPN
easat-6182	210	30	&	&	CCONJ
easat-6182	210	31	laboratory	laboratory	PROPN
easat-6182	210	32	medicine	medicine	NOUN
easat-6182	210	33	,	,	PUNCT
easat-6182	210	34	vol	vol	NOUN
easat-6182	210	35	.	.	PUNCT
easat-6182	211	1	144	144	NUM
easat-6182	211	2	,	,	PUNCT
easat-6182	211	3	no	no	INTJ
easat-6182	211	4	.	.	NOUN
easat-6182	211	5	12	12	NUM
easat-6182	211	6	,	,	PUNCT
easat-6182	211	7	pp	pp	ADJ
easat-6182	211	8	.	.	PUNCT
easat-6182	212	1	1465	1465	NUM
easat-6182	212	2	-	-	SYM
easat-6182	212	3	1474	1474	NUM
easat-6182	212	4	,	,	PUNCT
easat-6182	212	5	2020	2020	NUM
easat-6182	212	6	.	.	PUNCT
easat-6182	213	1	https://doi.org/10.5858/arpa.2020-0471-sa	https://doi.org/10.5858/arpa.2020-0471-sa	PUNCT
easat-6182	214	1	[	[	X
easat-6182	214	2	8	8	NUM
easat-6182	214	3	]	]	X
easat-6182	214	4	n.	n.	PROPN
easat-6182	214	5	jindal	jindal	PROPN
easat-6182	214	6	et	et	PROPN
easat-6182	214	7	al	al	PROPN
easat-6182	214	8	.	.	PROPN
easat-6182	214	9	,	,	PUNCT
easat-6182	214	10	"	"	PUNCT
easat-6182	214	11	fuzzy	fuzzy	ADJ
easat-6182	214	12	logic	logic	NOUN
easat-6182	214	13	systems	system	NOUN
easat-6182	214	14	for	for	ADP
easat-6182	214	15	diagnosis	diagnosis	NOUN
easat-6182	214	16	of	of	ADP
easat-6182	214	17	renal	renal	ADJ
easat-6182	214	18	cancer	cancer	NOUN
easat-6182	214	19	,	,	PUNCT
easat-6182	214	20	"	"	PUNCT
easat-6182	214	21	applied	apply	VERB
easat-6182	214	22	sciences	science	NOUN
easat-6182	214	23	,	,	PUNCT
easat-6182	214	24	vol	vol	NOUN
easat-6182	214	25	.	.	PROPN
easat-6182	215	1	10	10	NUM
easat-6182	215	2	,	,	PUNCT
easat-6182	215	3	no	no	INTJ
easat-6182	215	4	.	.	NOUN
easat-6182	215	5	10	10	NUM
easat-6182	215	6	,	,	PUNCT
easat-6182	215	7	p.	p.	NOUN
easat-6182	215	8	3464	3464	NUM
easat-6182	215	9	,	,	PUNCT
easat-6182	215	10	2020	2020	NUM
easat-6182	215	11	.	.	PUNCT
easat-6182	216	1	https://doi.org/10.3390/app10103464	https://doi.org/10.3390/app10103464	X
easat-6182	217	1	[	[	X
easat-6182	217	2	9	9	NUM
easat-6182	217	3	]	]	X
easat-6182	217	4	h.	h.	PROPN
easat-6182	217	5	wang	wang	PROPN
easat-6182	217	6	,	,	PUNCT
easat-6182	217	7	r.	r.	PROPN
easat-6182	217	8	j.	j.	PROPN
easat-6182	217	9	macinnis	macinnis	PROPN
easat-6182	217	10	,	,	PUNCT
easat-6182	217	11	and	and	CCONJ
easat-6182	217	12	s.	s.	PROPN
easat-6182	217	13	li	li	PROPN
easat-6182	217	14	,	,	PUNCT
easat-6182	217	15	"	"	PUNCT
easat-6182	217	16	family	family	NOUN
easat-6182	217	17	history	history	NOUN
easat-6182	217	18	and	and	CCONJ
easat-6182	217	19	breast	breast	NOUN
easat-6182	217	20	cancer	cancer	NOUN
easat-6182	217	21	risk	risk	NOUN
easat-6182	217	22	for	for	ADP
easat-6182	217	23	asian	asian	ADJ
easat-6182	217	24	women	woman	NOUN
easat-6182	217	25	:	:	PUNCT
easat-6182	217	26	a	a	DET
easat-6182	217	27	systematic	systematic	ADJ
easat-6182	217	28	review	review	NOUN
easat-6182	217	29	and	and	CCONJ
easat-6182	217	30	meta	meta	ADJ
easat-6182	217	31	-	-	PUNCT
easat-6182	217	32	analysis	analysis	NOUN
easat-6182	217	33	,	,	PUNCT
easat-6182	217	34	"	"	PUNCT
easat-6182	217	35	bmc	bmc	ADJ
easat-6182	217	36	medicine	medicine	NOUN
easat-6182	217	37	,	,	PUNCT
easat-6182	217	38	vol	vol	NOUN
easat-6182	217	39	.	.	PROPN
easat-6182	217	40	21	21	NUM
easat-6182	217	41	,	,	PUNCT
easat-6182	217	42	no	no	INTJ
easat-6182	217	43	.	.	NOUN
easat-6182	217	44	1	1	NUM
easat-6182	217	45	,	,	PUNCT
easat-6182	217	46	p.	p.	NOUN
easat-6182	217	47	239	239	NUM
easat-6182	217	48	,	,	PUNCT
easat-6182	217	49	2023	2023	NUM
easat-6182	217	50	.	.	PUNCT
easat-6182	217	51	https://doi.org/10.1186/s12916-023-02950-3	https://doi.org/10.1186/s12916-023-02950-3	NOUN
easat-6182	218	1	[	[	X
easat-6182	218	2	10	10	NUM
easat-6182	218	3	]	]	X
easat-6182	218	4	r.	r.	PROPN
easat-6182	218	5	gomila	gomila	PROPN
easat-6182	218	6	,	,	PUNCT
easat-6182	218	7	"	"	PUNCT
easat-6182	218	8	logistic	logistic	ADJ
easat-6182	218	9	or	or	CCONJ
easat-6182	218	10	linear	linear	ADJ
easat-6182	218	11	?	?	PUNCT
easat-6182	219	1	estimating	estimate	VERB
easat-6182	219	2	causal	causal	ADJ
easat-6182	219	3	effects	effect	NOUN
easat-6182	219	4	of	of	ADP
easat-6182	219	5	experimental	experimental	ADJ
easat-6182	219	6	treatments	treatment	NOUN
easat-6182	219	7	on	on	ADP
easat-6182	219	8	binary	binary	ADJ
easat-6182	219	9	outcomes	outcome	NOUN
easat-6182	219	10	using	use	VERB
easat-6182	219	11	regression	regression	NOUN
easat-6182	219	12	analysis	analysis	NOUN
easat-6182	219	13	,	,	PUNCT
easat-6182	219	14	"	"	PUNCT
easat-6182	219	15	journal	journal	NOUN
easat-6182	219	16	of	of	ADP
easat-6182	219	17	experimental	experimental	ADJ
easat-6182	219	18	psychology	psychology	NOUN
easat-6182	219	19	:	:	PUNCT
easat-6182	219	20	general	general	ADJ
easat-6182	219	21	,	,	PUNCT
easat-6182	219	22	vol	vol	NOUN
easat-6182	219	23	.	.	PROPN
easat-6182	220	1	150	150	NUM
easat-6182	220	2	,	,	PUNCT
easat-6182	220	3	no	no	INTJ
easat-6182	220	4	.	.	NOUN
easat-6182	220	5	4	4	NUM
easat-6182	220	6	,	,	PUNCT
easat-6182	220	7	p.	p.	NOUN
easat-6182	220	8	700	700	NUM
easat-6182	220	9	,	,	PUNCT
easat-6182	220	10	2021	2021	NUM
easat-6182	220	11	.	.	PUNCT
easat-6182	221	1	https://doi.org/10.1037/xge0000920	https://doi.org/10.1037/xge0000920	PRON
easat-6182	222	1	[	[	X
easat-6182	222	2	11	11	NUM
easat-6182	222	3	]	]	X
easat-6182	222	4	j.	j.	PROPN
easat-6182	222	5	mullahy	mullahy	PROPN
easat-6182	222	6	and	and	CCONJ
easat-6182	222	7	e.	e.	PROPN
easat-6182	222	8	c.	c.	PROPN
easat-6182	222	9	norton	norton	PROPN
easat-6182	222	10	,	,	PUNCT
easat-6182	222	11	"	"	PUNCT
easat-6182	222	12	why	why	SCONJ
easat-6182	222	13	transform	transform	VERB
easat-6182	222	14	y	y	PROPN
easat-6182	222	15	?	?	PUNCT
easat-6182	223	1	a	a	DET
easat-6182	223	2	critical	critical	ADJ
easat-6182	223	3	assessment	assessment	NOUN
easat-6182	223	4	of	of	ADP
easat-6182	223	5	dependent	dependent	ADJ
easat-6182	223	6	-	-	PUNCT
easat-6182	223	7	variable	variable	NOUN
easat-6182	223	8	transformations	transformation	NOUN
easat-6182	223	9	in	in	ADP
easat-6182	223	10	regression	regression	NOUN
easat-6182	223	11	models	model	NOUN
easat-6182	223	12	for	for	ADP
easat-6182	223	13	skewed	skewed	ADJ
easat-6182	223	14	and	and	CCONJ
easat-6182	223	15	sometimes	sometimes	ADV
easat-6182	223	16	-	-	PUNCT
easat-6182	223	17	zero	zero	NUM
easat-6182	223	18	outcomes	outcome	NOUN
easat-6182	223	19	(	(	PUNCT
easat-6182	223	20	no	no	INTJ
easat-6182	223	21	.	.	PUNCT
easat-6182	223	22	w30735	w30735	NOUN
easat-6182	223	23	)	)	PUNCT
easat-6182	223	24	,	,	PUNCT
easat-6182	223	25	"	"	PUNCT
easat-6182	223	26	national	national	ADJ
easat-6182	223	27	bureau	bureau	NOUN
easat-6182	223	28	of	of	ADP
easat-6182	223	29	economic	economic	ADJ
easat-6182	223	30	research	research	NOUN
easat-6182	223	31	,	,	PUNCT
easat-6182	223	32	2022	2022	NUM
easat-6182	223	33	.	.	PUNCT
easat-6182	224	1	[	[	X
easat-6182	224	2	12	12	NUM
easat-6182	224	3	]	]	X
easat-6182	224	4	d.	d.	PROPN
easat-6182	224	5	v.	v.	PROPN
easat-6182	224	6	petrović	petrović	PROPN
easat-6182	224	7	,	,	PUNCT
easat-6182	224	8	m.	m.	NOUN
easat-6182	224	9	tanasijević	tanasijević	PROPN
easat-6182	224	10	,	,	PUNCT
easat-6182	224	11	s.	s.	PROPN
easat-6182	224	12	stojadinović	stojadinović	PROPN
easat-6182	224	13	,	,	PUNCT
easat-6182	224	14	j.	j.	PROPN
easat-6182	224	15	ivaz	ivaz	PROPN
easat-6182	224	16	,	,	PUNCT
easat-6182	224	17	and	and	CCONJ
easat-6182	224	18	p.	p.	PROPN
easat-6182	224	19	stojković	stojković	NOUN
easat-6182	224	20	,	,	PUNCT
easat-6182	224	21	"	"	PUNCT
easat-6182	224	22	fuzzy	fuzzy	ADJ
easat-6182	224	23	model	model	NOUN
easat-6182	224	24	for	for	ADP
easat-6182	224	25	risk	risk	NOUN
easat-6182	224	26	assessment	assessment	NOUN
easat-6182	224	27	of	of	ADP
easat-6182	224	28	machinery	machinery	NOUN
easat-6182	224	29	failures	failure	NOUN
easat-6182	224	30	,	,	PUNCT
easat-6182	224	31	"	"	PUNCT
easat-6182	224	32	symmetry	symmetry	NOUN
easat-6182	224	33	,	,	PUNCT
easat-6182	224	34	vol	vol	NOUN
easat-6182	224	35	.	.	PROPN
easat-6182	224	36	12	12	NUM
easat-6182	224	37	,	,	PUNCT
easat-6182	224	38	no	no	INTJ
easat-6182	224	39	.	.	NOUN
easat-6182	224	40	4	4	NUM
easat-6182	224	41	,	,	PUNCT
easat-6182	224	42	p.	p.	NOUN
easat-6182	224	43	525	525	NUM
easat-6182	224	44	,	,	PUNCT
easat-6182	224	45	2020	2020	NUM
easat-6182	224	46	.	.	PUNCT
easat-6182	225	1	https://doi.org/10.3390/sym12040525	https://doi.org/10.3390/sym12040525	PROPN
easat-6182	226	1	[	[	X
easat-6182	226	2	13	13	NUM
easat-6182	226	3	]	]	X
easat-6182	226	4	y.	y.	PROPN
easat-6182	226	5	guo	guo	PROPN
easat-6182	226	6	,	,	PUNCT
easat-6182	226	7	w.	w.	PROPN
easat-6182	226	8	wang	wang	PROPN
easat-6182	226	9	,	,	PUNCT
easat-6182	226	10	and	and	CCONJ
easat-6182	226	11	x.	x.	PROPN
easat-6182	226	12	wang	wang	PROPN
easat-6182	226	13	,	,	PUNCT
easat-6182	226	14	"	"	PUNCT
easat-6182	226	15	a	a	DET
easat-6182	226	16	robust	robust	ADJ
easat-6182	226	17	linear	linear	NOUN
easat-6182	226	18	regression	regression	NOUN
easat-6182	226	19	feature	feature	NOUN
easat-6182	226	20	selection	selection	NOUN
easat-6182	226	21	method	method	NOUN
easat-6182	226	22	for	for	ADP
easat-6182	226	23	data	datum	NOUN
easat-6182	226	24	sets	set	NOUN
easat-6182	226	25	with	with	ADP
easat-6182	226	26	unknown	unknown	ADJ
easat-6182	226	27	noise	noise	NOUN
easat-6182	226	28	,	,	PUNCT
easat-6182	226	29	"	"	PUNCT
easat-6182	226	30	ieee	ieee	NOUN
easat-6182	226	31	transactions	transaction	NOUN
easat-6182	226	32	on	on	ADP
easat-6182	226	33	knowledge	knowledge	NOUN
easat-6182	226	34	and	and	CCONJ
easat-6182	226	35	data	datum	NOUN
easat-6182	226	36	engineering	engineering	NOUN
easat-6182	226	37	,	,	PUNCT
easat-6182	226	38	vol	vol	NOUN
easat-6182	226	39	.	.	PROPN
easat-6182	226	40	35	35	NUM
easat-6182	226	41	,	,	PUNCT
easat-6182	226	42	no	no	INTJ
easat-6182	226	43	.	.	NOUN
easat-6182	226	44	1	1	NUM
easat-6182	226	45	,	,	PUNCT
easat-6182	226	46	pp	pp	ADJ
easat-6182	226	47	.	.	PUNCT
easat-6182	227	1	31	31	NUM
easat-6182	227	2	-	-	SYM
easat-6182	227	3	44	44	NUM
easat-6182	227	4	,	,	PUNCT
easat-6182	227	5	2021	2021	NUM
easat-6182	227	6	.	.	PUNCT
easat-6182	228	1	https://doi.org/10.1109/tkde.2021.3076891	https://doi.org/10.1109/tkde.2021.3076891	PROPN
easat-6182	229	1	[	[	X
easat-6182	229	2	14	14	NUM
easat-6182	229	3	]	]	X
easat-6182	229	4	y.	y.	PROPN
easat-6182	229	5	xu	xu	PROPN
easat-6182	229	6	,	,	PUNCT
easat-6182	229	7	z.	z.	PROPN
easat-6182	229	8	wang	wang	PROPN
easat-6182	229	9	,	,	PUNCT
easat-6182	229	10	z.	z.	PROPN
easat-6182	229	11	li	li	PROPN
easat-6182	229	12	,	,	PUNCT
easat-6182	229	13	y.	y.	PROPN
easat-6182	229	14	yuan	yuan	PROPN
easat-6182	229	15	,	,	PUNCT
easat-6182	229	16	and	and	CCONJ
easat-6182	229	17	g.	g.	PROPN
easat-6182	229	18	yu	yu	PROPN
easat-6182	229	19	,	,	PUNCT
easat-6182	229	20	"	"	PUNCT
easat-6182	229	21	siamfc++	siamfc++	ADJ
easat-6182	229	22	:	:	PUNCT
easat-6182	229	23	towards	towards	ADP
easat-6182	229	24	robust	robust	ADJ
easat-6182	229	25	and	and	CCONJ
easat-6182	229	26	accurate	accurate	ADJ
easat-6182	229	27	visual	visual	ADJ
easat-6182	229	28	tracking	tracking	NOUN
easat-6182	229	29	with	with	ADP
easat-6182	229	30	target	target	NOUN
easat-6182	229	31	estimation	estimation	NOUN
easat-6182	229	32	guidelines	guideline	NOUN
easat-6182	229	33	,	,	PUNCT
easat-6182	229	34	"	"	PUNCT
easat-6182	229	35	proceedings	proceeding	NOUN
easat-6182	229	36	of	of	ADP
easat-6182	229	37	the	the	DET
easat-6182	229	38	aaai	aaai	PROPN
easat-6182	229	39	conference	conference	NOUN
easat-6182	229	40	on	on	ADP
easat-6182	229	41	artificial	artificial	ADJ
easat-6182	229	42	intelligence	intelligence	NOUN
easat-6182	229	43	,	,	PUNCT
easat-6182	229	44	vol	vol	NOUN
easat-6182	229	45	.	.	PROPN
easat-6182	229	46	34	34	NUM
easat-6182	229	47	,	,	PUNCT
easat-6182	229	48	no	no	INTJ
easat-6182	229	49	.	.	NOUN
easat-6182	229	50	7	7	NUM
easat-6182	229	51	,	,	PUNCT
easat-6182	229	52	pp	pp	ADJ
easat-6182	229	53	.	.	PUNCT
easat-6182	229	54	12549–12556	12549–12556	NUM
easat-6182	229	55	,	,	PUNCT
easat-6182	229	56	2020	2020	NUM
easat-6182	229	57	.	.	PUNCT
easat-6182	230	1	https://doi.org/10.1609/aaai.v34i07.6944	https://doi.org/10.1609/aaai.v34i07.6944	PROPN
easat-6182	231	1	[	[	X
easat-6182	231	2	15	15	NUM
easat-6182	231	3	]	]	X
easat-6182	231	4	v.	v.	PROPN
easat-6182	231	5	j.	j.	PROPN
easat-6182	231	6	silva	silva	PROPN
easat-6182	231	7	araújo	araújo	PROPN
easat-6182	231	8	,	,	PUNCT
easat-6182	231	9	a.	a.	PROPN
easat-6182	231	10	j.	j.	PROPN
easat-6182	231	11	guimarães	guimarães	PROPN
easat-6182	231	12	,	,	PUNCT
easat-6182	231	13	p.	p.	NOUN
easat-6182	231	14	v.	v.	X
easat-6182	232	1	de	de	PROPN
easat-6182	232	2	campos	campos	PROPN
easat-6182	232	3	souza	souza	PROPN
easat-6182	232	4	,	,	PUNCT
easat-6182	232	5	t.	t.	PROPN
easat-6182	232	6	s.	s.	PROPN
easat-6182	232	7	rezende	rezende	PROPN
easat-6182	232	8	,	,	PUNCT
easat-6182	232	9	and	and	CCONJ
easat-6182	232	10	v.	v.	PROPN
easat-6182	232	11	s.	s.	PROPN
easat-6182	232	12	araújo	araújo	PROPN
easat-6182	232	13	,	,	PUNCT
easat-6182	232	14	"	"	PUNCT
easat-6182	232	15	using	use	VERB
easat-6182	232	16	resistin	resistin	NOUN
easat-6182	232	17	,	,	PUNCT
easat-6182	232	18	glucose	glucose	NOUN
easat-6182	232	19	,	,	PUNCT
easat-6182	232	20	age	age	NOUN
easat-6182	232	21	and	and	CCONJ
easat-6182	232	22	bmi	bmi	NOUN
easat-6182	232	23	and	and	CCONJ
easat-6182	232	24	pruning	prune	VERB
easat-6182	232	25	fuzzy	fuzzy	ADJ
easat-6182	232	26	neural	neural	ADJ
easat-6182	232	27	network	network	NOUN
easat-6182	232	28	for	for	ADP
easat-6182	232	29	the	the	DET
easat-6182	232	30	construction	construction	NOUN
easat-6182	232	31	of	of	ADP
easat-6182	232	32	expert	expert	NOUN
easat-6182	232	33	systems	system	NOUN
easat-6182	232	34	in	in	ADP
easat-6182	232	35	the	the	DET
easat-6182	232	36	prediction	prediction	NOUN
easat-6182	232	37	of	of	ADP
easat-6182	232	38	breast	breast	NOUN
easat-6182	232	39	cancer	cancer	NOUN
easat-6182	232	40	,	,	PUNCT
easat-6182	232	41	"	"	PUNCT
easat-6182	232	42	machine	machine	NOUN
easat-6182	232	43	learning	learning	NOUN
easat-6182	232	44	and	and	CCONJ
easat-6182	232	45	knowledge	knowledge	NOUN
easat-6182	232	46	extraction	extraction	NOUN
easat-6182	232	47	,	,	PUNCT
easat-6182	232	48	vol	vol	NOUN
easat-6182	232	49	.	.	PROPN
easat-6182	232	50	1	1	NUM
easat-6182	232	51	,	,	PUNCT
easat-6182	232	52	no	no	INTJ
easat-6182	232	53	.	.	NOUN
easat-6182	232	54	1	1	NUM
easat-6182	232	55	,	,	PUNCT
easat-6182	232	56	pp	pp	ADJ
easat-6182	232	57	.	.	PUNCT
easat-6182	233	1	466	466	NUM
easat-6182	233	2	-	-	SYM
easat-6182	233	3	482	482	NUM
easat-6182	233	4	,	,	PUNCT
easat-6182	233	5	2019	2019	NUM
easat-6182	233	6	.	.	PUNCT
easat-6182	234	1	https://doi.org/10.3390/make1010028	https://doi.org/10.3390/make1010028	PROPN
easat-6182	234	2	[	[	X
easat-6182	234	3	16	16	NUM
easat-6182	234	4	]	]	X
easat-6182	234	5	r.	r.	PROPN
easat-6182	234	6	badeel	badeel	PROPN
easat-6182	234	7	,	,	PUNCT
easat-6182	234	8	is	be	AUX
easat-6182	234	9	lifi	lifi	ADJ
easat-6182	234	10	technology	technology	NOUN
easat-6182	234	11	ready	ready	ADJ
easat-6182	234	12	for	for	ADP
easat-6182	234	13	manufacturing	manufacturing	NOUN
easat-6182	234	14	and	and	CCONJ
easat-6182	234	15	adoption	adoption	NOUN
easat-6182	234	16	?	?	PUNCT
easat-6182	235	1	an	an	DET
easat-6182	235	2	end	end	NOUN
easat-6182	235	3	-	-	PUNCT
easat-6182	235	4	user	user	NOUN
easat-6182	235	5	questionnaire	questionnaire	NOUN
easat-6182	235	6	-	-	PUNCT
easat-6182	235	7	based	base	VERB
easat-6182	235	8	study	study	NOUN
easat-6182	235	9	.	.	PUNCT
easat-6182	236	1	iraq	iraq	PROPN
easat-6182	236	2	:	:	PUNCT
easat-6182	236	3	mesopotamian	mesopotamian	PROPN
easat-6182	236	4	press	press	PROPN
easat-6182	236	5	,	,	PUNCT
easat-6182	236	6	2024	2024	NUM
easat-6182	236	7	.	.	PUNCT
easat-6182	237	1	[	[	X
easat-6182	237	2	17	17	NUM
easat-6182	237	3	]	]	PUNCT
easat-6182	237	4	q.	q.	PROPN
easat-6182	237	5	al	al	PROPN
easat-6182	237	6	-	-	PUNCT
easat-6182	237	7	tashi	tashi	PROPN
easat-6182	237	8	et	et	PROPN
easat-6182	237	9	al	al	PROPN
easat-6182	237	10	.	.	PROPN
easat-6182	237	11	,	,	PUNCT
easat-6182	237	12	"	"	PUNCT
easat-6182	237	13	machine	machine	NOUN
easat-6182	237	14	learning	learning	NOUN
easat-6182	237	15	models	model	NOUN
easat-6182	237	16	for	for	ADP
easat-6182	237	17	the	the	DET
easat-6182	237	18	identification	identification	NOUN
easat-6182	237	19	of	of	ADP
easat-6182	237	20	prognostic	prognostic	ADJ
easat-6182	237	21	and	and	CCONJ
easat-6182	237	22	predictive	predictive	ADJ
easat-6182	237	23	cancer	cancer	NOUN
easat-6182	237	24	biomarkers	biomarker	NOUN
easat-6182	237	25	:	:	PUNCT
easat-6182	237	26	a	a	DET
easat-6182	237	27	systematic	systematic	ADJ
easat-6182	237	28	review	review	NOUN
easat-6182	237	29	,	,	PUNCT
easat-6182	237	30	"	"	PUNCT
easat-6182	237	31	international	international	ADJ
easat-6182	237	32	journal	journal	NOUN
easat-6182	237	33	of	of	ADP
easat-6182	237	34	molecular	molecular	ADJ
easat-6182	237	35	sciences	science	NOUN
easat-6182	237	36	,	,	PUNCT
easat-6182	237	37	vol	vol	NOUN
easat-6182	237	38	.	.	PROPN
easat-6182	238	1	24	24	NUM
easat-6182	238	2	,	,	PUNCT
easat-6182	238	3	no	no	INTJ
easat-6182	238	4	.	.	NOUN
easat-6182	238	5	9	9	NUM
easat-6182	238	6	,	,	PUNCT
easat-6182	238	7	p.	p.	NOUN
easat-6182	238	8	7781	7781	NUM
easat-6182	238	9	,	,	PUNCT
easat-6182	238	10	2023	2023	NUM
easat-6182	238	11	.	.	PUNCT
easat-6182	239	1	https://doi.org/10.3390/ijms24097781	https://doi.org/10.3390/ijms24097781	PROPN
easat-6182	240	1	[	[	X
easat-6182	240	2	18	18	NUM
easat-6182	240	3	]	]	X
easat-6182	240	4	c.	c.	PROPN
easat-6182	240	5	ro	ro	PROPN
easat-6182	240	6	̈del	̈del	X
easat-6182	240	7	et	et	PROPN
easat-6182	240	8	al	al	PROPN
easat-6182	240	9	.	.	PROPN
easat-6182	240	10	,	,	PUNCT
easat-6182	240	11	"	"	PUNCT
easat-6182	240	12	prognostic	prognostic	ADJ
easat-6182	240	13	significance	significance	NOUN
easat-6182	240	14	of	of	ADP
easat-6182	240	15	tumor	tumor	NOUN
easat-6182	240	16	regression	regression	NOUN
easat-6182	240	17	after	after	ADP
easat-6182	240	18	preoperative	preoperative	ADJ
easat-6182	240	19	chemoradiotherapy	chemoradiotherapy	NOUN
easat-6182	240	20	for	for	ADP
easat-6182	240	21	rectal	rectal	ADJ
easat-6182	240	22	cancer	cancer	NOUN
easat-6182	240	23	,	,	PUNCT
easat-6182	240	24	"	"	PUNCT
easat-6182	240	25	journal	journal	NOUN
easat-6182	240	26	of	of	ADP
easat-6182	240	27	clinical	clinical	ADJ
easat-6182	240	28	oncology	oncology	NOUN
easat-6182	240	29	,	,	PUNCT
easat-6182	240	30	vol	vol	NOUN
easat-6182	240	31	.	.	PROPN
easat-6182	240	32	23	23	NUM
easat-6182	240	33	,	,	PUNCT
easat-6182	240	34	no	no	INTJ
easat-6182	240	35	.	.	NOUN
easat-6182	240	36	34	34	NUM
easat-6182	240	37	,	,	PUNCT
easat-6182	240	38	pp	pp	ADJ
easat-6182	240	39	.	.	PUNCT
easat-6182	241	1	8688	8688	NUM
easat-6182	241	2	-	-	SYM
easat-6182	241	3	8696	8696	NUM
easat-6182	241	4	,	,	PUNCT
easat-6182	241	5	2005	2005	NUM
easat-6182	241	6	.	.	PUNCT
easat-6182	242	1	https://doi.org/10.1016/j.ijrobp.2004.11.040	https://doi.org/10.1016/j.ijrobp.2004.11.040	VERB
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easat-6182	242	3	https://doi.org/10.3390/app112311118	https://doi.org/10.3390/app112311118	NOUN
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easat-6182	242	5	https://doi.org/10.3390/s23031312	https://doi.org/10.3390/s23031312	NUM
easat-6182	242	6	https://doi.org/10.1007/s13369-023-07945-z	https://doi.org/10.1007/s13369-023-07945-z	PROPN
easat-6182	243	1	https://doi.org/10.1007/s13369-023-07945-z	https://doi.org/10.1007/s13369-023-07945-z	PROPN
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easat-6182	243	3	https://doi.org/10.3390/app10103464	https://doi.org/10.3390/app10103464	PROPN
easat-6182	243	4	https://doi.org/10.1186/s12916-023-02950-3	https://doi.org/10.1186/s12916-023-02950-3	NOUN
easat-6182	243	5	https://doi.org/10.1037/xge0000920	https://doi.org/10.1037/xge0000920	NOUN
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easat-6182	243	7	https://doi.org/10.1109/tkde.2021.3076891	https://doi.org/10.1109/tkde.2021.3076891	PROPN
easat-6182	243	8	https://doi.org/10.1609/aaai.v34i07.6944	https://doi.org/10.1609/aaai.v34i07.6944	PROPN
easat-6182	243	9	https://doi.org/10.3390/make1010028	https://doi.org/10.3390/make1010028	NOUN
easat-6182	243	10	https://doi.org/10.3390/ijms24097781	https://doi.org/10.3390/ijms24097781	NOUN
easat-6182	243	11	https://doi.org/10.1016/j.ijrobp.2004.11.040	https://doi.org/10.1016/j.ijrobp.2004.11.040	VERB
easat-6182	243	12	1109	1109	NUM
easat-6182	243	13	edelweiss	edelweiss	PROPN
easat-6182	243	14	applied	apply	VERB
easat-6182	243	15	science	science	NOUN
easat-6182	243	16	and	and	CCONJ
easat-6182	243	17	technology	technology	NOUN
easat-6182	243	18	issn	issn	PROPN
easat-6182	243	19	:	:	PUNCT
easat-6182	243	20	2576	2576	NUM
easat-6182	243	21	-	-	SYM
easat-6182	243	22	8484	8484	NUM
easat-6182	243	23	vol	vol	NOUN
easat-6182	243	24	.	.	PROPN
easat-6182	244	1	9	9	NUM
easat-6182	244	2	,	,	PUNCT
easat-6182	244	3	no	no	INTJ
easat-6182	244	4	.	.	NOUN
easat-6182	244	5	4	4	NUM
easat-6182	244	6	:	:	PUNCT
easat-6182	244	7	1101	1101	NUM
easat-6182	244	8	-	-	PUNCT
easat-6182	244	9	1109	1109	NUM
easat-6182	244	10	,	,	PUNCT
easat-6182	244	11	2025	2025	NUM
easat-6182	244	12	doi	doi	NOUN
easat-6182	244	13	:	:	PUNCT
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easat-6182	244	16	2025	2025	NUM
easat-6182	244	17	by	by	ADP
easat-6182	244	18	the	the	DET
easat-6182	244	19	authors	author	NOUN
easat-6182	244	20	;	;	PUNCT
easat-6182	244	21	licensee	licensee	PROPN
easat-6182	244	22	learning	learning	NOUN
easat-6182	244	23	gate	gate	NOUN
easat-6182	245	1	[	[	X
easat-6182	245	2	19	19	NUM
easat-6182	245	3	]	]	PUNCT
easat-6182	246	1	p.	p.	NOUN
easat-6182	246	2	lambin	lambin	PROPN
easat-6182	246	3	et	et	PROPN
easat-6182	247	1	al	al	PROPN
easat-6182	247	2	.	.	PROPN
easat-6182	247	3	,	,	PUNCT
easat-6182	247	4	"	"	PUNCT
easat-6182	247	5	radiomics	radiomic	NOUN
easat-6182	247	6	:	:	PUNCT
easat-6182	247	7	the	the	DET
easat-6182	247	8	bridge	bridge	NOUN
easat-6182	247	9	between	between	ADP
easat-6182	247	10	medical	medical	ADJ
easat-6182	247	11	imaging	imaging	NOUN
easat-6182	247	12	and	and	CCONJ
easat-6182	247	13	personalized	personalized	ADJ
easat-6182	247	14	medicine	medicine	NOUN
easat-6182	247	15	,	,	PUNCT
easat-6182	247	16	"	"	PUNCT
easat-6182	247	17	nature	nature	NOUN
easat-6182	247	18	reviews	review	VERB
easat-6182	247	19	clinical	clinical	ADJ
easat-6182	247	20	oncology	oncology	NOUN
easat-6182	247	21	,	,	PUNCT
easat-6182	247	22	vol	vol	NOUN
easat-6182	247	23	.	.	PROPN
easat-6182	248	1	14	14	NUM
easat-6182	248	2	,	,	PUNCT
easat-6182	248	3	no	no	INTJ
easat-6182	248	4	.	.	NOUN
easat-6182	248	5	12	12	NUM
easat-6182	248	6	,	,	PUNCT
easat-6182	248	7	pp	pp	ADJ
easat-6182	248	8	.	.	PUNCT
easat-6182	249	1	749	749	NUM
easat-6182	249	2	-	-	SYM
easat-6182	249	3	762	762	NUM
easat-6182	249	4	,	,	PUNCT
easat-6182	249	5	2017	2017	NUM
easat-6182	249	6	.	.	PUNCT
easat-6182	250	1	https://doi.org/10.1038/nrclinonc.2017.141	https://doi.org/10.1038/nrclinonc.2017.141	PROPN
easat-6182	250	2	[	[	X
easat-6182	250	3	20	20	NUM
easat-6182	250	4	]	]	PUNCT
easat-6182	250	5	s.	s.	PROPN
easat-6182	250	6	s.	s.	PROPN
easat-6182	250	7	murad	murad	PROPN
easat-6182	250	8	,	,	PUNCT
easat-6182	250	9	s.	s.	PROPN
easat-6182	250	10	yussof	yussof	PROPN
easat-6182	250	11	,	,	PUNCT
easat-6182	250	12	and	and	CCONJ
easat-6182	250	13	r.	r.	PROPN
easat-6182	250	14	badeel	badeel	PROPN
easat-6182	250	15	,	,	PUNCT
easat-6182	250	16	"	"	PUNCT
easat-6182	250	17	wireless	wireless	ADJ
easat-6182	250	18	technologies	technology	NOUN
easat-6182	250	19	for	for	ADP
easat-6182	250	20	social	social	ADJ
easat-6182	250	21	distancing	distancing	NOUN
easat-6182	250	22	in	in	ADP
easat-6182	250	23	the	the	DET
easat-6182	250	24	time	time	NOUN
easat-6182	250	25	of	of	ADP
easat-6182	250	26	covid-19	covid-19	PROPN
easat-6182	250	27	:	:	PUNCT
easat-6182	250	28	literature	literature	PROPN
easat-6182	250	29	review	review	PROPN
easat-6182	250	30	,	,	PUNCT
easat-6182	250	31	open	open	ADJ
easat-6182	250	32	issues	issue	NOUN
easat-6182	250	33	,	,	PUNCT
easat-6182	250	34	and	and	CCONJ
easat-6182	250	35	limitations	limitation	NOUN
easat-6182	250	36	,	,	PUNCT
easat-6182	250	37	"	"	PUNCT
easat-6182	250	38	sensors	sensor	NOUN
easat-6182	250	39	,	,	PUNCT
easat-6182	250	40	vol	vol	NOUN
easat-6182	250	41	.	.	PROPN
easat-6182	251	1	22	22	NUM
easat-6182	251	2	,	,	PUNCT
easat-6182	251	3	no	no	INTJ
easat-6182	251	4	.	.	NOUN
easat-6182	251	5	6	6	NUM
easat-6182	251	6	,	,	PUNCT
easat-6182	251	7	p.	p.	NOUN
easat-6182	251	8	2313	2313	NUM
easat-6182	251	9	,	,	PUNCT
easat-6182	251	10	2022	2022	NUM
easat-6182	251	11	.	.	PUNCT
easat-6182	252	1	https://doi.org/10.3390/s22062313	https://doi.org/10.3390/s22062313	NUM
easat-6182	252	2	[	[	X
easat-6182	252	3	21	21	NUM
easat-6182	252	4	]	]	X
easat-6182	252	5	r.	r.	PROPN
easat-6182	252	6	badeel	badeel	PROPN
easat-6182	252	7	,	,	PUNCT
easat-6182	252	8	"	"	PUNCT
easat-6182	252	9	introduction	introduction	NOUN
easat-6182	252	10	to	to	ADP
easat-6182	252	11	wi	wi	PROPN
easat-6182	252	12	-	-	PUNCT
easat-6182	252	13	fi	fi	NOUN
easat-6182	252	14	7	7	NUM
easat-6182	252	15	:	:	PUNCT
easat-6182	252	16	a	a	DET
easat-6182	252	17	review	review	NOUN
easat-6182	252	18	of	of	ADP
easat-6182	252	19	history	history	NOUN
easat-6182	252	20	,	,	PUNCT
easat-6182	252	21	applications	application	NOUN
easat-6182	252	22	,	,	PUNCT
easat-6182	252	23	challenges	challenge	NOUN
easat-6182	252	24	,	,	PUNCT
easat-6182	252	25	economical	economical	ADJ
easat-6182	252	26	impact	impact	NOUN
easat-6182	252	27	,	,	PUNCT
easat-6182	252	28	and	and	CCONJ
easat-6182	252	29	research	research	NOUN
easat-6182	252	30	development	development	NOUN
easat-6182	252	31	,	,	PUNCT
easat-6182	252	32	"	"	PUNCT
easat-6182	252	33	mesopotamian	mesopotamian	PROPN
easat-6182	252	34	journal	journal	PROPN
easat-6182	252	35	of	of	ADP
easat-6182	252	36	computer	computer	NOUN
easat-6182	252	37	science	science	NOUN
easat-6182	252	38	and	and	CCONJ
easat-6182	252	39	communication	communication	NOUN
easat-6182	252	40	,	,	PUNCT
easat-6182	252	41	pp	pp	ADJ
easat-6182	252	42	.	.	PUNCT
easat-6182	253	1	1	1	NUM
easat-6182	253	2	-	-	SYM
easat-6182	253	3	9	9	NUM
easat-6182	253	4	,	,	PUNCT
easat-6182	253	5	2024	2024	NUM
easat-6182	253	6	.	.	PUNCT
easat-6182	254	1	https://doi.org/10.58496/mjcsc/2024/009	https://doi.org/10.58496/mjcsc/2024/009	PROPN
easat-6182	255	1	[	[	X
easat-6182	255	2	22	22	NUM
easat-6182	255	3	]	]	PUNCT
easat-6182	255	4	a.	a.	NOUN
easat-6182	255	5	altameem	altameem	PROPN
easat-6182	255	6	,	,	PUNCT
easat-6182	255	7	c.	c.	PROPN
easat-6182	255	8	mahanty	mahanty	PROPN
easat-6182	255	9	,	,	PUNCT
easat-6182	255	10	r.	r.	PROPN
easat-6182	255	11	c.	c.	PROPN
easat-6182	255	12	poonia	poonia	PROPN
easat-6182	255	13	,	,	PUNCT
easat-6182	255	14	a.	a.	PROPN
easat-6182	255	15	k.	k.	PROPN
easat-6182	255	16	j.	j.	PROPN
easat-6182	255	17	saudagar	saudagar	PROPN
easat-6182	255	18	,	,	PUNCT
easat-6182	255	19	and	and	CCONJ
easat-6182	255	20	r.	r.	PROPN
easat-6182	255	21	kumar	kumar	PROPN
easat-6182	255	22	,	,	PUNCT
easat-6182	255	23	"	"	PUNCT
easat-6182	255	24	breast	breast	NOUN
easat-6182	255	25	cancer	cancer	NOUN
easat-6182	255	26	detection	detection	NOUN
easat-6182	255	27	in	in	ADP
easat-6182	255	28	mammography	mammography	NOUN
easat-6182	255	29	images	image	NOUN
easat-6182	255	30	using	use	VERB
easat-6182	255	31	deep	deep	ADJ
easat-6182	255	32	convolutional	convolutional	ADJ
easat-6182	255	33	neural	neural	ADJ
easat-6182	255	34	networks	network	NOUN
easat-6182	255	35	and	and	CCONJ
easat-6182	255	36	fuzzy	fuzzy	ADJ
easat-6182	255	37	ensemble	ensemble	ADJ
easat-6182	255	38	modeling	modeling	NOUN
easat-6182	255	39	techniques	technique	NOUN
easat-6182	255	40	,	,	PUNCT
easat-6182	255	41	"	"	PUNCT
easat-6182	255	42	diagnostics	diagnostic	NOUN
easat-6182	255	43	,	,	PUNCT
easat-6182	255	44	vol	vol	NOUN
easat-6182	255	45	.	.	PROPN
easat-6182	255	46	12	12	NUM
easat-6182	255	47	,	,	PUNCT
easat-6182	255	48	no	no	INTJ
easat-6182	255	49	.	.	NOUN
easat-6182	255	50	8	8	NUM
easat-6182	255	51	,	,	PUNCT
easat-6182	255	52	p.	p.	NOUN
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easat-6182	255	54	,	,	PUNCT
easat-6182	255	55	2022	2022	NUM
easat-6182	255	56	.	.	PUNCT
easat-6182	256	1	https://doi.org/10.3390/diagnostics12081812	https://doi.org/10.3390/diagnostics12081812	PROPN
easat-6182	256	2	[	[	X
easat-6182	256	3	23	23	NUM
easat-6182	256	4	]	]	X
easat-6182	256	5	s.	s.	PROPN
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easat-6182	256	7	and	and	CCONJ
easat-6182	256	8	r.	r.	PROPN
easat-6182	256	9	badeel	badeel	PROPN
easat-6182	256	10	,	,	PUNCT
easat-6182	256	11	"	"	PUNCT
easat-6182	256	12	optimized	optimize	VERB
easat-6182	256	13	min	min	PROPN
easat-6182	256	14	-	-	PUNCT
easat-6182	256	15	min	min	NOUN
easat-6182	256	16	task	task	NOUN
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easat-6182	256	21	workflows	workflow	NOUN
easat-6182	256	22	in	in	ADP
easat-6182	256	23	a	a	DET
easat-6182	256	24	cloud	cloud	ADJ
easat-6182	256	25	environment	environment	NOUN
easat-6182	256	26	,	,	PUNCT
easat-6182	256	27	"	"	PUNCT
easat-6182	256	28	j.	j.	PROPN
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easat-6182	257	2	.	.	PROPN
easat-6182	257	3	inf	inf	PROPN
easat-6182	258	1	.	.	PUNCT
easat-6182	258	2	technol	technol	PROPN
easat-6182	258	3	,	,	PUNCT
easat-6182	258	4	vol	vol	NOUN
easat-6182	258	5	.	.	NOUN
easat-6182	258	6	100	100	NUM
easat-6182	258	7	,	,	PUNCT
easat-6182	258	8	no	no	INTJ
easat-6182	258	9	.	.	NOUN
easat-6182	258	10	2	2	NUM
easat-6182	258	11	,	,	PUNCT
easat-6182	258	12	pp	pp	ADJ
easat-6182	258	13	.	.	PUNCT
easat-6182	259	1	480	480	NUM
easat-6182	259	2	-	-	PUNCT
easat-6182	259	3	506	506	NUM
easat-6182	259	4	,	,	PUNCT
easat-6182	259	5	2022	2022	NUM
easat-6182	259	6	.	.	PUNCT
easat-6182	260	1	[	[	X
easat-6182	260	2	24	24	NUM
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easat-6182	260	5	h.	h.	PROPN
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easat-6182	260	8	s.	s.	PROPN
easat-6182	260	9	k.	k.	PROPN
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easat-6182	260	11	,	,	PUNCT
easat-6182	260	12	z.	z.	PROPN
easat-6182	260	13	a.	a.	PROPN
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easat-6182	260	15	,	,	PUNCT
easat-6182	260	16	and	and	CCONJ
easat-6182	260	17	n.	n.	PROPN
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easat-6182	260	19	,	,	PUNCT
easat-6182	260	20	"	"	PUNCT
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easat-6182	260	22	degree	degree	NOUN
easat-6182	260	23	and	and	CCONJ
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easat-6182	260	25	man	man	NOUN
easat-6182	260	26	strategy	strategy	NOUN
easat-6182	260	27	:	:	PUNCT
easat-6182	260	28	a	a	DET
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easat-6182	260	30	method	method	NOUN
easat-6182	260	31	for	for	ADP
easat-6182	260	32	differentiating	differentiate	VERB
easat-6182	260	33	between	between	ADP
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easat-6182	260	35	readings	reading	NOUN
easat-6182	260	36	and	and	CCONJ
easat-6182	260	37	true	true	ADJ
easat-6182	260	38	events	event	NOUN
easat-6182	260	39	in	in	ADP
easat-6182	260	40	wireless	wireless	ADJ
easat-6182	260	41	sensor	sensor	NOUN
easat-6182	260	42	networks	network	NOUN
easat-6182	260	43	,	,	PUNCT
easat-6182	260	44	"	"	PUNCT
easat-6182	260	45	ieee	ieee	NOUN
easat-6182	260	46	access	access	NOUN
easat-6182	260	47	,	,	PUNCT
easat-6182	260	48	vol	vol	NOUN
easat-6182	260	49	.	.	PROPN
easat-6182	261	1	11	11	NUM
easat-6182	261	2	,	,	PUNCT
easat-6182	261	3	pp	pp	ADJ
easat-6182	261	4	.	.	PUNCT
easat-6182	262	1	127651	127651	NUM
easat-6182	262	2	-	-	SYM
easat-6182	262	3	127668	127668	NUM
easat-6182	262	4	,	,	PUNCT
easat-6182	262	5	2023	2023	NUM
easat-6182	262	6	.	.	PUNCT
easat-6182	263	1	https://doi.org/10.1109/access.2023.1234567	https://doi.org/10.1109/access.2023.1234567	PROPN
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easat-6182	264	2	25	25	NUM
easat-6182	264	3	]	]	PUNCT
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easat-6182	264	8	"	"	PUNCT
easat-6182	264	9	propensity	propensity	NOUN
easat-6182	264	10	and	and	CCONJ
easat-6182	264	11	generalized	generalized	ADJ
easat-6182	264	12	propensity	propensity	NOUN
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easat-6182	264	17	and	and	CCONJ
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easat-6182	264	20	,	,	PUNCT
easat-6182	264	21	using	use	VERB
easat-6182	264	22	common	common	ADJ
easat-6182	264	23	and	and	CCONJ
easat-6182	264	24	machine	machine	NOUN
easat-6182	264	25	learning	learn	VERB
easat-6182	264	26	techniques	technique	NOUN
easat-6182	264	27	,	,	PUNCT
easat-6182	264	28	"	"	PUNCT
easat-6182	264	29	doctoral	doctoral	ADJ
easat-6182	264	30	dissertation	dissertation	NOUN
easat-6182	264	31	,	,	PUNCT
easat-6182	264	32	the	the	DET
easat-6182	264	33	university	university	PROPN
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easat-6182	264	35	oklahoma	oklahoma	PROPN
easat-6182	264	36	health	health	PROPN
easat-6182	264	37	sciences	sciences	PROPN
easat-6182	264	38	center	center	PROPN
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easat-6182	264	40	.	.	PUNCT
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easat-6182	265	7	2024	2024	NUM
easat-6182	265	8	.	.	PUNCT
easat-6182	266	1	[	[	X
easat-6182	266	2	26	26	NUM
easat-6182	266	3	]	]	PUNCT
easat-6182	266	4	s.	s.	PROPN
easat-6182	266	5	s.	s.	PROPN
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easat-6182	266	7	,	,	PUNCT
easat-6182	266	8	r.	r.	PROPN
easat-6182	266	9	badeel	badeel	PROPN
easat-6182	266	10	,	,	PUNCT
easat-6182	266	11	r.	r.	PROPN
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easat-6182	266	15	and	and	CCONJ
easat-6182	266	16	s.	s.	PROPN
easat-6182	266	17	yussof	yussof	PROPN
easat-6182	266	18	,	,	PUNCT
easat-6182	266	19	"	"	PUNCT
easat-6182	266	20	using	use	VERB
easat-6182	266	21	drones	drone	NOUN
easat-6182	266	22	and	and	CCONJ
easat-6182	266	23	robots	robot	NOUN
easat-6182	266	24	for	for	ADP
easat-6182	266	25	social	social	ADJ
easat-6182	266	26	distancing	distancing	NOUN
easat-6182	266	27	:	:	PUNCT
easat-6182	266	28	literature	literature	PROPN
easat-6182	266	29	review	review	NOUN
easat-6182	266	30	,	,	PUNCT
easat-6182	266	31	challenges	challenge	NOUN
easat-6182	266	32	and	and	CCONJ
easat-6182	266	33	issues	issue	NOUN
easat-6182	266	34	,	,	PUNCT
easat-6182	266	35	"	"	PUNCT
easat-6182	266	36	presented	present	VERB
easat-6182	266	37	at	at	ADP
easat-6182	266	38	the	the	DET
easat-6182	266	39	2024	2024	NUM
easat-6182	266	40	panhellenic	panhellenic	ADJ
easat-6182	266	41	conference	conference	NOUN
easat-6182	266	42	on	on	ADP
easat-6182	266	43	electronics	electronic	NOUN
easat-6182	266	44	&	&	CCONJ
easat-6182	266	45	telecommunications	telecommunications	PROPN
easat-6182	266	46	(	(	PUNCT
easat-6182	266	47	pacet	pacet	NOUN
easat-6182	266	48	)	)	PUNCT
easat-6182	266	49	,	,	PUNCT
easat-6182	266	50	ieee	ieee	NOUN
easat-6182	266	51	,	,	PUNCT
easat-6182	266	52	2024	2024	NUM
easat-6182	266	53	.	.	PUNCT
easat-6182	267	1	https://doi.org/10.1038/nrclinonc.2017.141	https://doi.org/10.1038/nrclinonc.2017.141	PROPN
easat-6182	267	2	https://doi.org/10.3390/s22062313	https://doi.org/10.3390/s22062313	PROPN
easat-6182	267	3	https://doi.org/10.58496/mjcsc/2024/009	https://doi.org/10.58496/mjcsc/2024/009	PROPN
easat-6182	267	4	https://doi.org/10.3390/diagnostics12081812	https://doi.org/10.3390/diagnostics12081812	PROPN
easat-6182	267	5	https://doi.org/10.1109/access.2023.1234567	https://doi.org/10.1109/access.2023.1234567	PROPN