id	sid	tid	token	lemma	pos
cuesj-1390	1	1	tx_1	tx_1	PROPN
cuesj-1390	1	2	~	~	X
cuesj-1390	1	3	abs	ab	NOUN
cuesj-1390	1	4	:	:	PUNCT
cuesj-1390	1	5	at	at	ADP
cuesj-1390	1	6	/	/	SYM
cuesj-1390	1	7	add	add	VERB
cuesj-1390	1	8	:	:	PUNCT
cuesj-1390	1	9	tx_2	tx_2	PROPN
cuesj-1390	1	10	~	~	NOUN
cuesj-1390	1	11	abs	ab	NOUN
cuesj-1390	1	12	:	:	PUNCT
cuesj-1390	1	13	at	at	ADP
cuesj-1390	1	14	41	41	NUM
cuesj-1390	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	1	16	cuesj	cuesj	NOUN
cuesj-1390	1	17	2025	2025	NUM
cuesj-1390	1	18	,	,	PUNCT
cuesj-1390	1	19	9	9	NUM
cuesj-1390	1	20	(	(	PUNCT
cuesj-1390	1	21	1	1	NUM
cuesj-1390	1	22	):	):	PUNCT
cuesj-1390	1	23	41	41	NUM
cuesj-1390	1	24	-	-	SYM
cuesj-1390	1	25	46	46	NUM
cuesj-1390	1	26	research	research	NOUN
cuesj-1390	1	27	article	article	NOUN
cuesj-1390	1	28	application	application	NOUN
cuesj-1390	1	29	of	of	ADP
cuesj-1390	1	30	support	support	NOUN
cuesj-1390	1	31	vector	vector	NOUN
cuesj-1390	1	32	machines	machine	NOUN
cuesj-1390	1	33	kernel	kernel	PROPN
cuesj-1390	1	34	functions	function	NOUN
cuesj-1390	1	35	for	for	ADP
cuesj-1390	1	36	breast	breast	NOUN
cuesj-1390	1	37	cancer	cancer	NOUN
cuesj-1390	1	38	detection	detection	NOUN
cuesj-1390	1	39	and	and	CCONJ
cuesj-1390	1	40	classification	classification	NOUN
cuesj-1390	1	41	:	:	PUNCT
cuesj-1390	1	42	a	a	DET
cuesj-1390	1	43	comparative	comparative	ADJ
cuesj-1390	1	44	study	study	NOUN
cuesj-1390	1	45	raz	raz	PROPN
cuesj-1390	1	46	m.	m.	PROPN
cuesj-1390	1	47	hama	hama	PROPN
cuesj-1390	1	48	salih	salih	PROPN
cuesj-1390	1	49	,	,	PUNCT
cuesj-1390	1	50	saman	saman	PROPN
cuesj-1390	1	51	h.	h.	PROPN
cuesj-1390	1	52	mahmood	mahmood	PROPN
cuesj-1390	1	53	department	department	PROPN
cuesj-1390	1	54	of	of	ADP
cuesj-1390	1	55	statistics	statistic	NOUN
cuesj-1390	1	56	and	and	CCONJ
cuesj-1390	1	57	informatics	informatic	NOUN
cuesj-1390	1	58	,	,	PUNCT
cuesj-1390	1	59	college	college	NOUN
cuesj-1390	1	60	of	of	ADP
cuesj-1390	1	61	administration	administration	NOUN
cuesj-1390	1	62	and	and	CCONJ
cuesj-1390	1	63	economics	economic	NOUN
cuesj-1390	1	64	,	,	PUNCT
cuesj-1390	1	65	salahaddin	salahaddin	VERB
cuesj-1390	1	66	university	university	NOUN
cuesj-1390	1	67	-	-	PUNCT
cuesj-1390	1	68	erbil	erbil	PROPN
cuesj-1390	1	69	,	,	PUNCT
cuesj-1390	1	70	iraq	iraq	PROPN
cuesj-1390	1	71	abstract	abstract	ADV
cuesj-1390	1	72	this	this	DET
cuesj-1390	1	73	study	study	NOUN
cuesj-1390	1	74	deals	deal	VERB
cuesj-1390	1	75	with	with	ADP
cuesj-1390	1	76	the	the	DET
cuesj-1390	1	77	linear	linear	ADJ
cuesj-1390	1	78	,	,	PUNCT
cuesj-1390	1	79	polynomial	polynomial	ADJ
cuesj-1390	1	80	,	,	PUNCT
cuesj-1390	1	81	and	and	CCONJ
cuesj-1390	1	82	radial	radial	ADJ
cuesj-1390	1	83	basis	basis	NOUN
cuesj-1390	1	84	function	function	NOUN
cuesj-1390	1	85	(	(	PUNCT
cuesj-1390	1	86	rbf	rbf	PROPN
cuesj-1390	1	87	)	)	PUNCT
cuesj-1390	1	88	kernel	kernel	NOUN
cuesj-1390	1	89	-	-	PUNCT
cuesj-1390	1	90	based	base	VERB
cuesj-1390	1	91	support	support	NOUN
cuesj-1390	1	92	vector	vector	NOUN
cuesj-1390	1	93	machines	machine	NOUN
cuesj-1390	1	94	(	(	PUNCT
cuesj-1390	1	95	svm	svm	PROPN
cuesj-1390	1	96	)	)	PUNCT
cuesj-1390	1	97	applied	apply	VERB
cuesj-1390	1	98	to	to	ADP
cuesj-1390	1	99	the	the	DET
cuesj-1390	1	100	classification	classification	NOUN
cuesj-1390	1	101	of	of	ADP
cuesj-1390	1	102	breast	breast	NOUN
cuesj-1390	1	103	cancer	cancer	NOUN
cuesj-1390	1	104	.	.	PUNCT
cuesj-1390	2	1	it	it	PRON
cuesj-1390	2	2	checks	check	VERB
cuesj-1390	2	3	the	the	DET
cuesj-1390	2	4	efficiency	efficiency	NOUN
cuesj-1390	2	5	of	of	ADP
cuesj-1390	2	6	different	different	ADJ
cuesj-1390	2	7	kernel	kernel	NOUN
cuesj-1390	2	8	-	-	PUNCT
cuesj-1390	2	9	based	base	VERB
cuesj-1390	2	10	techniques	technique	NOUN
cuesj-1390	2	11	for	for	ADP
cuesj-1390	2	12	distinguishing	distinguish	VERB
cuesj-1390	2	13	benign	benign	ADJ
cuesj-1390	2	14	and	and	CCONJ
cuesj-1390	2	15	malignant	malignant	ADJ
cuesj-1390	2	16	tumors	tumor	NOUN
cuesj-1390	2	17	against	against	ADP
cuesj-1390	2	18	medical	medical	ADJ
cuesj-1390	2	19	datasets	dataset	NOUN
cuesj-1390	2	20	.	.	PUNCT
cuesj-1390	3	1	this	this	DET
cuesj-1390	3	2	analysis	analysis	NOUN
cuesj-1390	3	3	is	be	AUX
cuesj-1390	3	4	conducted	conduct	VERB
cuesj-1390	3	5	on	on	ADP
cuesj-1390	3	6	the	the	DET
cuesj-1390	3	7	public	public	PROPN
cuesj-1390	3	8	wisconsin	wisconsin	PROPN
cuesj-1390	3	9	breast	breast	PROPN
cuesj-1390	3	10	cancer	cancer	NOUN
cuesj-1390	3	11	dataset	dataset	NOUN
cuesj-1390	3	12	borrowed	borrow	VERB
cuesj-1390	3	13	from	from	ADP
cuesj-1390	3	14	the	the	DET
cuesj-1390	3	15	uci	uci	PROPN
cuesj-1390	3	16	machine	machine	NOUN
cuesj-1390	3	17	learning	learn	VERB
cuesj-1390	3	18	repository	repository	NOUN
cuesj-1390	3	19	,	,	PUNCT
cuesj-1390	3	20	which	which	PRON
cuesj-1390	3	21	consists	consist	VERB
cuesj-1390	3	22	of	of	ADP
cuesj-1390	3	23	569	569	NUM
cuesj-1390	3	24	 	 	SPACE
cuesj-1390	3	25	cases	case	NOUN
cuesj-1390	3	26	,	,	PUNCT
cuesj-1390	3	27	357	357	NUM
cuesj-1390	3	28	benign	benign	ADJ
cuesj-1390	3	29	and	and	CCONJ
cuesj-1390	3	30	212	212	NUM
cuesj-1390	3	31	malignant	malignant	ADJ
cuesj-1390	3	32	.	.	PUNCT
cuesj-1390	4	1	it	it	PRON
cuesj-1390	4	2	aims	aim	VERB
cuesj-1390	4	3	to	to	PART
cuesj-1390	4	4	develop	develop	VERB
cuesj-1390	4	5	the	the	DET
cuesj-1390	4	6	assessment	assessment	NOUN
cuesj-1390	4	7	necessary	necessary	ADJ
cuesj-1390	4	8	for	for	ADP
cuesj-1390	4	9	each	each	DET
cuesj-1390	4	10	kernel	kernel	NOUN
cuesj-1390	4	11	based	base	VERB
cuesj-1390	4	12	on	on	ADP
cuesj-1390	4	13	its	its	PRON
cuesj-1390	4	14	accuracy	accuracy	NOUN
cuesj-1390	4	15	,	,	PUNCT
cuesj-1390	4	16	precision	precision	NOUN
cuesj-1390	4	17	,	,	PUNCT
cuesj-1390	4	18	recall	recall	NOUN
cuesj-1390	4	19	,	,	PUNCT
cuesj-1390	4	20	computational	computational	ADJ
cuesj-1390	4	21	efficiency	efficiency	NOUN
cuesj-1390	4	22	,	,	PUNCT
cuesj-1390	4	23	f1	f1	NOUN
cuesj-1390	4	24	score	score	NOUN
cuesj-1390	4	25	,	,	PUNCT
cuesj-1390	4	26	and	and	CCONJ
cuesj-1390	4	27	area	area	NOUN
cuesj-1390	4	28	under	under	ADP
cuesj-1390	4	29	the	the	DET
cuesj-1390	4	30	curve	curve	NOUN
cuesj-1390	4	31	(	(	PUNCT
cuesj-1390	4	32	auc	auc	NOUN
cuesj-1390	4	33	)	)	PUNCT
cuesj-1390	4	34	.	.	PUNCT
cuesj-1390	5	1	the	the	DET
cuesj-1390	5	2	outcome	outcome	NOUN
cuesj-1390	5	3	reveals	reveal	VERB
cuesj-1390	5	4	that	that	SCONJ
cuesj-1390	5	5	,	,	PUNCT
cuesj-1390	5	6	in	in	ADP
cuesj-1390	5	7	general	general	ADJ
cuesj-1390	5	8	,	,	PUNCT
cuesj-1390	5	9	the	the	DET
cuesj-1390	5	10	polynomial	polynomial	ADJ
cuesj-1390	5	11	kernel	kernel	NOUN
cuesj-1390	5	12	will	will	AUX
cuesj-1390	5	13	provide	provide	VERB
cuesj-1390	5	14	top	top	ADV
cuesj-1390	5	15	-	-	PUNCT
cuesj-1390	5	16	ranking	rank	VERB
cuesj-1390	5	17	results	result	NOUN
cuesj-1390	5	18	across	across	ADP
cuesj-1390	5	19	the	the	DET
cuesj-1390	5	20	various	various	ADJ
cuesj-1390	5	21	features	feature	NOUN
cuesj-1390	5	22	,	,	PUNCT
cuesj-1390	5	23	thereby	thereby	ADV
cuesj-1390	5	24	enhancing	enhance	VERB
cuesj-1390	5	25	accuracy	accuracy	NOUN
cuesj-1390	5	26	(	(	PUNCT
cuesj-1390	5	27	96.84	96.84	NUM
cuesj-1390	5	28	%	%	NOUN
cuesj-1390	5	29	)	)	PUNCT
cuesj-1390	5	30	,	,	PUNCT
cuesj-1390	5	31	specificity	specificity	NOUN
cuesj-1390	5	32	(	(	PUNCT
cuesj-1390	5	33	97.76	97.76	NUM
cuesj-1390	5	34	%	%	NOUN
cuesj-1390	5	35	)	)	PUNCT
cuesj-1390	5	36	,	,	PUNCT
cuesj-1390	5	37	and	and	CCONJ
cuesj-1390	5	38	auc	auc	NOUN
cuesj-1390	5	39	(	(	PUNCT
cuesj-1390	5	40	0.9966	0.9966	NUM
cuesj-1390	5	41	)	)	PUNCT
cuesj-1390	5	42	compared	compare	VERB
cuesj-1390	5	43	to	to	ADP
cuesj-1390	5	44	the	the	DET
cuesj-1390	5	45	linear	linear	NOUN
cuesj-1390	5	46	and	and	CCONJ
cuesj-1390	5	47	rbf	rbf	PROPN
cuesj-1390	5	48	kernels	kernel	NOUN
cuesj-1390	5	49	for	for	ADP
cuesj-1390	5	50	use	use	NOUN
cuesj-1390	5	51	in	in	ADP
cuesj-1390	5	52	disease	disease	NOUN
cuesj-1390	5	53	classifications	classification	NOUN
cuesj-1390	5	54	of	of	ADP
cuesj-1390	5	55	cancers	cancer	NOUN
cuesj-1390	5	56	.	.	PUNCT
cuesj-1390	6	1	these	these	DET
cuesj-1390	6	2	findings	finding	NOUN
cuesj-1390	6	3	indicate	indicate	VERB
cuesj-1390	6	4	that	that	SCONJ
cuesj-1390	6	5	the	the	DET
cuesj-1390	6	6	polynomial	polynomial	ADJ
cuesj-1390	6	7	kernel	kernel	NOUN
cuesj-1390	6	8	adeptly	adeptly	ADV
cuesj-1390	6	9	captures	capture	VERB
cuesj-1390	6	10	complex	complex	ADJ
cuesj-1390	6	11	,	,	PUNCT
cuesj-1390	6	12	non	non	ADJ
cuesj-1390	6	13	-	-	ADJ
cuesj-1390	6	14	linear	linear	ADJ
cuesj-1390	6	15	data	datum	NOUN
cuesj-1390	6	16	relationships	relationship	NOUN
cuesj-1390	6	17	,	,	PUNCT
cuesj-1390	6	18	making	make	VERB
cuesj-1390	6	19	it	it	PRON
cuesj-1390	6	20	a	a	DET
cuesj-1390	6	21	strong	strong	ADJ
cuesj-1390	6	22	candidate	candidate	NOUN
cuesj-1390	6	23	for	for	ADP
cuesj-1390	6	24	developing	develop	VERB
cuesj-1390	6	25	more	more	ADV
cuesj-1390	6	26	accurate	accurate	ADJ
cuesj-1390	6	27	svm	svm	ADJ
cuesj-1390	6	28	-	-	PUNCT
cuesj-1390	6	29	based	base	VERB
cuesj-1390	6	30	breast	breast	NOUN
cuesj-1390	6	31	cancer	cancer	NOUN
cuesj-1390	6	32	detection	detection	NOUN
cuesj-1390	6	33	models	model	NOUN
cuesj-1390	6	34	.	.	PUNCT
cuesj-1390	7	1	keywords	keyword	NOUN
cuesj-1390	7	2	:	:	PUNCT
cuesj-1390	7	3	machine	machine	NOUN
cuesj-1390	7	4	learning	learning	NOUN
cuesj-1390	7	5	,	,	PUNCT
cuesj-1390	7	6	support	support	VERB
cuesj-1390	7	7	vector	vector	NOUN
cuesj-1390	7	8	machines	machine	NOUN
cuesj-1390	7	9	,	,	PUNCT
cuesj-1390	7	10	kernel	kernel	PROPN
cuesj-1390	7	11	functions	function	NOUN
cuesj-1390	7	12	,	,	PUNCT
cuesj-1390	7	13	breast	breast	NOUN
cuesj-1390	7	14	cancer	cancer	NOUN
cuesj-1390	7	15	,	,	PUNCT
cuesj-1390	7	16	classification	classification	NOUN
cuesj-1390	7	17	introduction	introduction	NOUN
cuesj-1390	7	18	breast	breast	NOUN
cuesj-1390	7	19	cancer	cancer	NOUN
cuesj-1390	7	20	is	be	AUX
cuesj-1390	7	21	one	one	NUM
cuesj-1390	7	22	of	of	ADP
cuesj-1390	7	23	the	the	DET
cuesj-1390	7	24	leading	lead	VERB
cuesj-1390	7	25	causes	cause	NOUN
cuesj-1390	7	26	of	of	ADP
cuesj-1390	7	27	cancerrelated	cancerrelate	VERB
cuesj-1390	7	28	mortality	mortality	NOUN
cuesj-1390	7	29	among	among	ADP
cuesj-1390	7	30	women	woman	NOUN
cuesj-1390	7	31	worldwide	worldwide	ADV
cuesj-1390	7	32	,	,	PUNCT
cuesj-1390	7	33	presenting	present	VERB
cuesj-1390	7	34	a	a	DET
cuesj-1390	7	35	significant	significant	ADJ
cuesj-1390	7	36	global	global	ADJ
cuesj-1390	7	37	health	health	NOUN
cuesj-1390	7	38	challenge	challenge	NOUN
cuesj-1390	7	39	.	.	PUNCT
cuesj-1390	8	1	early	early	ADJ
cuesj-1390	8	2	and	and	CCONJ
cuesj-1390	8	3	accurate	accurate	ADJ
cuesj-1390	8	4	diagnosis	diagnosis	NOUN
cuesj-1390	8	5	is	be	AUX
cuesj-1390	8	6	important	important	ADJ
cuesj-1390	8	7	in	in	ADP
cuesj-1390	8	8	the	the	DET
cuesj-1390	8	9	improvement	improvement	NOUN
cuesj-1390	8	10	of	of	ADP
cuesj-1390	8	11	patient	patient	ADJ
cuesj-1390	8	12	outcomes	outcome	NOUN
cuesj-1390	8	13	and	and	CCONJ
cuesj-1390	8	14	survival	survival	NOUN
cuesj-1390	8	15	rates.[1	rates.[1	NOUN
cuesj-1390	8	16	]	]	PUNCT
cuesj-1390	8	17	traditional	traditional	ADJ
cuesj-1390	8	18	diagnostic	diagnostic	ADJ
cuesj-1390	8	19	approaches	approach	NOUN
cuesj-1390	8	20	include	include	VERB
cuesj-1390	8	21	mammography	mammography	NOUN
cuesj-1390	8	22	,	,	PUNCT
cuesj-1390	8	23	ultrasound	ultrasound	NOUN
cuesj-1390	8	24	,	,	PUNCT
cuesj-1390	8	25	and	and	CCONJ
cuesj-1390	8	26	biopsy	biopsy	NOUN
cuesj-1390	8	27	–	–	PUNCT
cuesj-1390	8	28	all	all	ADV
cuesj-1390	8	29	with	with	ADP
cuesj-1390	8	30	their	their	PRON
cuesj-1390	8	31	disadvantages	disadvantage	NOUN
cuesj-1390	8	32	.	.	PUNCT
cuesj-1390	9	1	mammography	mammography	NOUN
cuesj-1390	9	2	has	have	VERB
cuesj-1390	9	3	wide	wide	ADJ
cuesj-1390	9	4	usage	usage	NOUN
cuesj-1390	9	5	,	,	PUNCT
cuesj-1390	9	6	though	though	SCONJ
cuesj-1390	9	7	one	one	PRON
cuesj-1390	9	8	may	may	AUX
cuesj-1390	9	9	also	also	ADV
cuesj-1390	9	10	expect	expect	VERB
cuesj-1390	9	11	false	false	ADJ
cuesj-1390	9	12	positives	positive	NOUN
cuesj-1390	9	13	and	and	CCONJ
cuesj-1390	9	14	negatives	negative	NOUN
cuesj-1390	9	15	,	,	PUNCT
cuesj-1390	9	16	especially	especially	ADV
cuesj-1390	9	17	in	in	ADP
cuesj-1390	9	18	dense	dense	ADJ
cuesj-1390	9	19	breast	breast	NOUN
cuesj-1390	9	20	tissue	tissue	NOUN
cuesj-1390	9	21	.	.	PUNCT
cuesj-1390	10	1	however	however	ADV
cuesj-1390	10	2	,	,	PUNCT
cuesj-1390	10	3	while	while	SCONJ
cuesj-1390	10	4	highly	highly	ADV
cuesj-1390	10	5	sensitive	sensitive	ADJ
cuesj-1390	10	6	,	,	PUNCT
cuesj-1390	10	7	biopsies	biopsy	NOUN
cuesj-1390	10	8	are	be	AUX
cuesj-1390	10	9	invasive	invasive	ADJ
cuesj-1390	10	10	and	and	CCONJ
cuesj-1390	10	11	require	require	VERB
cuesj-1390	10	12	a	a	DET
cuesj-1390	10	13	great	great	ADJ
cuesj-1390	10	14	deal	deal	NOUN
cuesj-1390	10	15	of	of	ADP
cuesj-1390	10	16	time	time	NOUN
cuesj-1390	10	17	.	.	PUNCT
cuesj-1390	11	1	moreover	moreover	ADV
cuesj-1390	11	2	,	,	PUNCT
cuesj-1390	11	3	they	they	PRON
cuesj-1390	11	4	may	may	AUX
cuesj-1390	11	5	not	not	PART
cuesj-1390	11	6	be	be	AUX
cuesj-1390	11	7	suitable	suitable	ADJ
cuesj-1390	11	8	for	for	ADP
cuesj-1390	11	9	all	all	DET
cuesj-1390	11	10	patients.[2	patients.[2	NOUN
cuesj-1390	11	11	]	]	PUNCT
cuesj-1390	11	12	the	the	DET
cuesj-1390	11	13	inherent	inherent	ADJ
cuesj-1390	11	14	variability	variability	NOUN
cuesj-1390	11	15	in	in	ADP
cuesj-1390	11	16	the	the	DET
cuesj-1390	11	17	interpretation	interpretation	NOUN
cuesj-1390	11	18	of	of	ADP
cuesj-1390	11	19	medical	medical	ADJ
cuesj-1390	11	20	images	image	NOUN
cuesj-1390	11	21	adds	add	VERB
cuesj-1390	11	22	to	to	ADP
cuesj-1390	11	23	diagnostic	diagnostic	ADJ
cuesj-1390	11	24	inconsistencies	inconsistency	NOUN
cuesj-1390	11	25	and	and	CCONJ
cuesj-1390	11	26	can	can	AUX
cuesj-1390	11	27	further	far	ADV
cuesj-1390	11	28	delay	delay	VERB
cuesj-1390	11	29	diagnosis.[3	diagnosis.[3	PROPN
cuesj-1390	11	30	]	]	PUNCT
cuesj-1390	11	31	such	such	ADJ
cuesj-1390	11	32	limitations	limitation	NOUN
cuesj-1390	11	33	call	call	VERB
cuesj-1390	11	34	for	for	ADP
cuesj-1390	11	35	newer	new	ADJ
cuesj-1390	11	36	methods	method	NOUN
cuesj-1390	11	37	of	of	ADP
cuesj-1390	11	38	diagnosis	diagnosis	NOUN
cuesj-1390	11	39	.	.	PUNCT
cuesj-1390	12	1	while	while	SCONJ
cuesj-1390	12	2	these	these	DET
cuesj-1390	12	3	traditional	traditional	ADJ
cuesj-1390	12	4	methods	method	NOUN
cuesj-1390	12	5	are	be	AUX
cuesj-1390	12	6	good	good	ADJ
cuesj-1390	12	7	in	in	ADP
cuesj-1390	12	8	many	many	ADJ
cuesj-1390	12	9	cases	case	NOUN
cuesj-1390	12	10	,	,	PUNCT
cuesj-1390	12	11	they	they	PRON
cuesj-1390	12	12	can	can	AUX
cuesj-1390	12	13	sometimes	sometimes	ADV
cuesj-1390	12	14	have	have	VERB
cuesj-1390	12	15	difficulty	difficulty	NOUN
cuesj-1390	12	16	with	with	ADP
cuesj-1390	12	17	data	datum	NOUN
cuesj-1390	12	18	with	with	ADP
cuesj-1390	12	19	complex	complex	ADJ
cuesj-1390	12	20	relationships	relationship	NOUN
cuesj-1390	12	21	or	or	CCONJ
cuesj-1390	12	22	many	many	ADJ
cuesj-1390	12	23	dimensions	dimension	NOUN
cuesj-1390	12	24	.	.	PUNCT
cuesj-1390	13	1	machine	machine	NOUN
cuesj-1390	13	2	learning	learning	NOUN
cuesj-1390	13	3	can	can	AUX
cuesj-1390	13	4	be	be	AUX
cuesj-1390	13	5	a	a	DET
cuesj-1390	13	6	very	very	ADV
cuesj-1390	13	7	promising	promising	ADJ
cuesj-1390	13	8	avenue	avenue	NOUN
cuesj-1390	13	9	for	for	ADP
cuesj-1390	13	10	improving	improve	VERB
cuesj-1390	13	11	medical	medical	ADJ
cuesj-1390	13	12	diagnosis	diagnosis	NOUN
cuesj-1390	13	13	by	by	ADP
cuesj-1390	13	14	enabling	enable	VERB
cuesj-1390	13	15	the	the	DET
cuesj-1390	13	16	analysis	analysis	NOUN
cuesj-1390	13	17	of	of	ADP
cuesj-1390	13	18	complex	complex	ADJ
cuesj-1390	13	19	datasets	dataset	NOUN
cuesj-1390	13	20	with	with	ADP
cuesj-1390	13	21	high	high	ADJ
cuesj-1390	13	22	accuracy	accuracy	NOUN
cuesj-1390	13	23	and	and	CCONJ
cuesj-1390	13	24	speed.[4	speed.[4	ADJ
cuesj-1390	13	25	]	]	X
cuesj-1390	13	26	supervised	supervise	VERB
cuesj-1390	13	27	learning	learning	NOUN
cuesj-1390	13	28	algorithms	algorithm	NOUN
cuesj-1390	13	29	,	,	PUNCT
cuesj-1390	13	30	especially	especially	ADV
cuesj-1390	13	31	those	those	PRON
cuesj-1390	13	32	developed	develop	VERB
cuesj-1390	13	33	for	for	ADP
cuesj-1390	13	34	classification	classification	NOUN
cuesj-1390	13	35	,	,	PUNCT
cuesj-1390	13	36	are	be	AUX
cuesj-1390	13	37	quite	quite	ADV
cuesj-1390	13	38	effective	effective	ADJ
cuesj-1390	13	39	at	at	ADP
cuesj-1390	13	40	distinguishing	distinguish	VERB
cuesj-1390	13	41	.	.	PUNCT
cuesj-1390	14	1	while	while	SCONJ
cuesj-1390	14	2	the	the	DET
cuesj-1390	14	3	field	field	NOUN
cuesj-1390	14	4	has	have	AUX
cuesj-1390	14	5	dealt	deal	VERB
cuesj-1390	14	6	mainly	mainly	ADV
cuesj-1390	14	7	with	with	ADP
cuesj-1390	14	8	segregating	segregate	VERB
cuesj-1390	14	9	between	between	ADP
cuesj-1390	14	10	cancerous	cancerous	ADJ
cuesj-1390	14	11	and	and	CCONJ
cuesj-1390	14	12	non	non	ADJ
cuesj-1390	14	13	-	-	ADJ
cuesj-1390	14	14	cancerous	cancerous	ADJ
cuesj-1390	14	15	tissues	tissue	NOUN
cuesj-1390	14	16	using	use	VERB
cuesj-1390	14	17	different	different	ADJ
cuesj-1390	14	18	features	feature	NOUN
cuesj-1390	14	19	of	of	ADP
cuesj-1390	14	20	medical	medical	ADJ
cuesj-1390	14	21	images	image	NOUN
cuesj-1390	14	22	or	or	CCONJ
cuesj-1390	14	23	clinical	clinical	ADJ
cuesj-1390	14	24	data	datum	NOUN
cuesj-1390	14	25	,	,	PUNCT
cuesj-1390	14	26	a	a	DET
cuesj-1390	14	27	variety	variety	NOUN
cuesj-1390	14	28	of	of	ADP
cuesj-1390	14	29	machine	machine	NOUN
cuesj-1390	14	30	learning	learn	VERB
cuesj-1390	14	31	algorithms	algorithm	NOUN
cuesj-1390	14	32	are	be	AUX
cuesj-1390	14	33	used	use	VERB
cuesj-1390	14	34	to	to	PART
cuesj-1390	14	35	achieve	achieve	VERB
cuesj-1390	14	36	the	the	DET
cuesj-1390	14	37	end	end	NOUN
cuesj-1390	14	38	goal	goal	NOUN
cuesj-1390	14	39	.	.	PUNCT
cuesj-1390	15	1	support	support	NOUN
cuesj-1390	15	2	vector	vector	NOUN
cuesj-1390	15	3	machines	machine	NOUN
cuesj-1390	15	4	(	(	PUNCT
cuesj-1390	15	5	svm	svm	PROPN
cuesj-1390	15	6	)	)	PUNCT
cuesj-1390	15	7	are	be	AUX
cuesj-1390	15	8	among	among	ADP
cuesj-1390	15	9	them	they	PRON
cuesj-1390	15	10	that	that	PRON
cuesj-1390	15	11	have	have	AUX
cuesj-1390	15	12	acquired	acquire	VERB
cuesj-1390	15	13	great	great	ADJ
cuesj-1390	15	14	attention	attention	NOUN
cuesj-1390	15	15	for	for	ADP
cuesj-1390	15	16	being	be	AUX
cuesj-1390	15	17	robust	robust	ADJ
cuesj-1390	15	18	and	and	CCONJ
cuesj-1390	15	19	capable	capable	ADJ
cuesj-1390	15	20	of	of	ADP
cuesj-1390	15	21	dealing	deal	VERB
cuesj-1390	15	22	with	with	ADP
cuesj-1390	15	23	highdimensional	highdimensional	ADJ
cuesj-1390	15	24	data	datum	NOUN
cuesj-1390	15	25	on	on	ADP
cuesj-1390	15	26	the	the	DET
cuesj-1390	15	27	availability	availability	NOUN
cuesj-1390	15	28	of	of	ADP
cuesj-1390	15	29	small	small	ADJ
cuesj-1390	15	30	-	-	PUNCT
cuesj-1390	15	31	sized	sized	ADJ
cuesj-1390	15	32	samples	sample	NOUN
cuesj-1390	15	33	.	.	PUNCT
cuesj-1390	16	1	basically	basically	ADV
cuesj-1390	16	2	,	,	PUNCT
cuesj-1390	16	3	kernel	kernel	PROPN
cuesj-1390	16	4	functions	function	NOUN
cuesj-1390	16	5	map	map	VERB
cuesj-1390	16	6	input	input	NOUN
cuesj-1390	16	7	data	datum	NOUN
cuesj-1390	16	8	into	into	ADP
cuesj-1390	16	9	a	a	DET
cuesj-1390	16	10	higherdimension	higherdimension	NOUN
cuesj-1390	16	11	feature	feature	NOUN
cuesj-1390	16	12	space	space	NOUN
cuesj-1390	16	13	to	to	PART
cuesj-1390	16	14	create	create	VERB
cuesj-1390	16	15	non	non	ADJ
cuesj-1390	16	16	-	-	ADJ
cuesj-1390	16	17	linear	linear	ADJ
cuesj-1390	16	18	separating	separate	VERB
cuesj-1390	16	19	hyperplanes	hyperplane	NOUN
cuesj-1390	16	20	;	;	PUNCT
cuesj-1390	16	21	therefore	therefore	ADV
cuesj-1390	16	22	,	,	PUNCT
cuesj-1390	16	23	increasing	increase	VERB
cuesj-1390	16	24	classification	classification	NOUN
cuesj-1390	16	25	efficiency	efficiency	NOUN
cuesj-1390	16	26	on	on	ADP
cuesj-1390	16	27	complicated	complicated	ADJ
cuesj-1390	16	28	datasets	dataset	NOUN
cuesj-1390	16	29	can	can	AUX
cuesj-1390	16	30	be	be	AUX
cuesj-1390	16	31	developed	develop	VERB
cuesj-1390	16	32	correspondingly	correspondingly	ADV
cuesj-1390	16	33	.	.	PUNCT
cuesj-1390	17	1	in	in	ADP
cuesj-1390	17	2	light	light	NOUN
cuesj-1390	17	3	of	of	ADP
cuesj-1390	17	4	existing	exist	VERB
cuesj-1390	17	5	related	related	ADJ
cuesj-1390	17	6	studies	study	NOUN
cuesj-1390	17	7	on	on	ADP
cuesj-1390	17	8	machine	machine	NOUN
cuesj-1390	17	9	learning	learn	VERB
cuesj-1390	17	10	for	for	ADP
cuesj-1390	17	11	the	the	DET
cuesj-1390	17	12	detection	detection	NOUN
cuesj-1390	17	13	of	of	ADP
cuesj-1390	17	14	breast	breast	NOUN
cuesj-1390	17	15	cancer	cancer	NOUN
cuesj-1390	17	16	,	,	PUNCT
cuesj-1390	17	17	comparative	comparative	ADJ
cuesj-1390	17	18	studies	study	NOUN
cuesj-1390	17	19	,	,	PUNCT
cuesj-1390	17	20	which	which	PRON
cuesj-1390	17	21	would	would	AUX
cuesj-1390	17	22	focus	focus	VERB
cuesj-1390	17	23	comprehensively	comprehensively	ADV
cuesj-1390	17	24	on	on	ADP
cuesj-1390	17	25	the	the	DET
cuesj-1390	17	26	performance	performance	NOUN
cuesj-1390	17	27	of	of	ADP
cuesj-1390	17	28	various	various	ADJ
cuesj-1390	17	29	svm	svm	ADJ
cuesj-1390	17	30	kernel	kernel	PROPN
cuesj-1390	17	31	functions	function	NOUN
cuesj-1390	17	32	using	use	VERB
cuesj-1390	17	33	some	some	DET
cuesj-1390	17	34	specific	specific	ADJ
cuesj-1390	17	35	breast	breast	NOUN
cuesj-1390	17	36	cancer	cancer	NOUN
cuesj-1390	17	37	datasets	dataset	NOUN
cuesj-1390	17	38	,	,	PUNCT
cuesj-1390	17	39	are	be	AUX
cuesj-1390	17	40	few	few	ADJ
cuesj-1390	17	41	and	and	CCONJ
cuesj-1390	17	42	far	far	ADV
cuesj-1390	17	43	between	between	ADP
cuesj-1390	17	44	.	.	PUNCT
cuesj-1390	18	1	while	while	SCONJ
cuesj-1390	18	2	various	various	ADJ
cuesj-1390	18	3	studies	study	NOUN
cuesj-1390	18	4	have	have	AUX
cuesj-1390	18	5	been	be	AUX
cuesj-1390	18	6	conducted	conduct	VERB
cuesj-1390	18	7	on	on	ADP
cuesj-1390	18	8	the	the	DET
cuesj-1390	18	9	application	application	NOUN
cuesj-1390	18	10	of	of	ADP
cuesj-1390	18	11	different	different	ADJ
cuesj-1390	18	12	kernel	kernel	NOUN
cuesj-1390	18	13	functions	function	NOUN
cuesj-1390	18	14	corresponding	corresponding	ADJ
cuesj-1390	18	15	author	author	NOUN
cuesj-1390	18	16	:	:	PUNCT
cuesj-1390	18	17	raz	raz	NOUN
cuesj-1390	18	18	m.	m.	PROPN
cuesj-1390	18	19	hama	hama	PROPN
cuesj-1390	18	20	salih	salih	PROPN
cuesj-1390	18	21	,	,	PUNCT
cuesj-1390	18	22	department	department	PROPN
cuesj-1390	18	23	of	of	ADP
cuesj-1390	18	24	statistics	statistic	NOUN
cuesj-1390	18	25	and	and	CCONJ
cuesj-1390	18	26	informatics	informatic	NOUN
cuesj-1390	18	27	,	,	PUNCT
cuesj-1390	18	28	college	college	NOUN
cuesj-1390	18	29	of	of	ADP
cuesj-1390	18	30	administration	administration	NOUN
cuesj-1390	18	31	and	and	CCONJ
cuesj-1390	18	32	economics	economic	NOUN
cuesj-1390	18	33	,	,	PUNCT
cuesj-1390	18	34	salahaddin	salahaddin	VERB
cuesj-1390	18	35	university	university	NOUN
cuesj-1390	18	36	-	-	PUNCT
cuesj-1390	18	37	erbil	erbil	PROPN
cuesj-1390	18	38	,	,	PUNCT
cuesj-1390	18	39	iraq	iraq	PROPN
cuesj-1390	18	40	.	.	PUNCT
cuesj-1390	19	1	e	e	X
cuesj-1390	19	2	-	-	NOUN
cuesj-1390	19	3	mail	mail	NOUN
cuesj-1390	19	4	:	:	PUNCT
cuesj-1390	19	5	raz.hamasalih@su.edu.krd	raz.hamasalih@su.edu.krd	NOUN
cuesj-1390	19	6	received	receive	VERB
cuesj-1390	19	7	:	:	PUNCT
cuesj-1390	19	8	february	february	PROPN
cuesj-1390	19	9	4	4	NUM
cuesj-1390	19	10	,	,	PUNCT
cuesj-1390	19	11	2025	2025	NUM
cuesj-1390	19	12	accepted	accept	VERB
cuesj-1390	19	13	:	:	PUNCT
cuesj-1390	19	14	march	march	PROPN
cuesj-1390	19	15	14	14	NUM
cuesj-1390	19	16	,	,	PUNCT
cuesj-1390	19	17	2025	2025	NUM
cuesj-1390	19	18	published	publish	VERB
cuesj-1390	19	19	:	:	PUNCT
cuesj-1390	19	20	april	april	PROPN
cuesj-1390	19	21	20	20	NUM
cuesj-1390	19	22	,	,	PUNCT
cuesj-1390	19	23	2025	2025	NUM
cuesj-1390	19	24	doi	doi	NOUN
cuesj-1390	19	25	:	:	PUNCT
cuesj-1390	19	26	10.24086	10.24086	NUM
cuesj-1390	19	27	/	/	SYM
cuesj-1390	19	28	cuesj.v9n1y2025.pp41	cuesj.v9n1y2025.pp41	NUM
cuesj-1390	19	29	-	-	SYM
cuesj-1390	19	30	46	46	NUM
cuesj-1390	19	31	copyright	copyright	NOUN
cuesj-1390	19	32	©	©	PROPN
cuesj-1390	19	33	2025	2025	NUM
cuesj-1390	19	34	raz	raz	NOUN
cuesj-1390	19	35	m.	m.	NOUN
cuesj-1390	19	36	hama	hama	PROPN
cuesj-1390	19	37	salih	salih	PROPN
cuesj-1390	19	38	,	,	PUNCT
cuesj-1390	19	39	saman	saman	PROPN
cuesj-1390	19	40	h.	h.	PROPN
cuesj-1390	19	41	mahmood	mahmood	PROPN
cuesj-1390	19	42	.	.	PUNCT
cuesj-1390	20	1	this	this	PRON
cuesj-1390	20	2	is	be	AUX
cuesj-1390	20	3	an	an	DET
cuesj-1390	20	4	open	open	ADJ
cuesj-1390	20	5	-	-	PUNCT
cuesj-1390	20	6	access	access	NOUN
cuesj-1390	20	7	article	article	NOUN
cuesj-1390	20	8	distributed	distribute	VERB
cuesj-1390	20	9	under	under	ADP
cuesj-1390	20	10	the	the	DET
cuesj-1390	20	11	creative	creative	ADJ
cuesj-1390	20	12	commons	common	NOUN
cuesj-1390	20	13	attribution	attribution	NOUN
cuesj-1390	20	14	license	license	NOUN
cuesj-1390	20	15	.	.	PUNCT
cuesj-1390	21	1	cihan	cihan	VERB
cuesj-1390	21	2	university	university	NOUN
cuesj-1390	21	3	-	-	PUNCT
cuesj-1390	21	4	erbil	erbil	PROPN
cuesj-1390	21	5	scientific	scientific	ADJ
cuesj-1390	21	6	journal	journal	NOUN
cuesj-1390	21	7	(	(	PUNCT
cuesj-1390	21	8	cuesj	cuesj	PROPN
cuesj-1390	21	9	)	)	PUNCT
cuesj-1390	21	10	salih	salih	PROPN
cuesj-1390	21	11	and	and	CCONJ
cuesj-1390	21	12	mahmood	mahmood	PROPN
cuesj-1390	21	13	:	:	PUNCT
cuesj-1390	21	14	svm	svm	PROPN
cuesj-1390	21	15	kernel	kernel	PROPN
cuesj-1390	21	16	functions	function	NOUN
cuesj-1390	21	17	for	for	ADP
cuesj-1390	21	18	breast	breast	NOUN
cuesj-1390	21	19	cancer	cancer	NOUN
cuesj-1390	21	20	classification	classification	NOUN
cuesj-1390	21	21	42	42	NUM
cuesj-1390	21	22	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	21	23	cuesj	cuesj	NOUN
cuesj-1390	21	24	2025	2025	NUM
cuesj-1390	21	25	,	,	PUNCT
cuesj-1390	21	26	9	9	NUM
cuesj-1390	21	27	(	(	PUNCT
cuesj-1390	21	28	1	1	NUM
cuesj-1390	21	29	):	):	PUNCT
cuesj-1390	21	30	41	41	NUM
cuesj-1390	21	31	-	-	SYM
cuesj-1390	21	32	46	46	NUM
cuesj-1390	21	33	for	for	ADP
cuesj-1390	21	34	the	the	DET
cuesj-1390	21	35	detection	detection	NOUN
cuesj-1390	21	36	of	of	ADP
cuesj-1390	21	37	breast	breast	NOUN
cuesj-1390	21	38	cancer	cancer	NOUN
cuesj-1390	21	39	,	,	PUNCT
cuesj-1390	21	40	there	there	PRON
cuesj-1390	21	41	is	be	VERB
cuesj-1390	21	42	no	no	DET
cuesj-1390	21	43	comparative	comparative	ADJ
cuesj-1390	21	44	study	study	NOUN
cuesj-1390	21	45	on	on	ADP
cuesj-1390	21	46	the	the	DET
cuesj-1390	21	47	performances	performance	NOUN
cuesj-1390	21	48	of	of	ADP
cuesj-1390	21	49	linear	linear	ADJ
cuesj-1390	21	50	,	,	PUNCT
cuesj-1390	21	51	polynomial	polynomial	ADJ
cuesj-1390	21	52	,	,	PUNCT
cuesj-1390	21	53	and	and	CCONJ
cuesj-1390	21	54	radial	radial	ADJ
cuesj-1390	21	55	basis	basis	NOUN
cuesj-1390	21	56	function	function	NOUN
cuesj-1390	21	57	(	(	PUNCT
cuesj-1390	21	58	rbf	rbf	PROPN
cuesj-1390	21	59	)	)	PUNCT
cuesj-1390	21	60	kernels	kernel	NOUN
cuesj-1390	21	61	on	on	ADP
cuesj-1390	21	62	the	the	DET
cuesj-1390	21	63	different	different	ADJ
cuesj-1390	21	64	publicly	publicly	ADV
cuesj-1390	21	65	available	available	ADJ
cuesj-1390	21	66	datasets	dataset	NOUN
cuesj-1390	21	67	of	of	ADP
cuesj-1390	21	68	breast	breast	NOUN
cuesj-1390	21	69	cancer.[5	cancer.[5	ADV
cuesj-1390	21	70	]	]	PUNCT
cuesj-1390	22	1	this	this	PRON
cuesj-1390	22	2	will	will	AUX
cuesj-1390	22	3	indeed	indeed	ADV
cuesj-1390	22	4	be	be	AUX
cuesj-1390	22	5	very	very	ADV
cuesj-1390	22	6	helpful	helpful	ADJ
cuesj-1390	22	7	to	to	PART
cuesj-1390	22	8	point	point	VERB
cuesj-1390	22	9	out	out	ADP
cuesj-1390	22	10	which	which	PRON
cuesj-1390	22	11	of	of	ADP
cuesj-1390	22	12	these	these	DET
cuesj-1390	22	13	kernel	kernel	NOUN
cuesj-1390	22	14	functions	function	NOUN
cuesj-1390	22	15	would	would	AUX
cuesj-1390	22	16	best	well	ADV
cuesj-1390	22	17	suit	suit	VERB
cuesj-1390	22	18	the	the	DET
cuesj-1390	22	19	optimum	optimum	ADJ
cuesj-1390	22	20	detection	detection	NOUN
cuesj-1390	22	21	and	and	CCONJ
cuesj-1390	22	22	classification	classification	NOUN
cuesj-1390	22	23	of	of	ADP
cuesj-1390	22	24	breast	breast	NOUN
cuesj-1390	22	25	cancer	cancer	NOUN
cuesj-1390	22	26	in	in	ADP
cuesj-1390	22	27	various	various	ADJ
cuesj-1390	22	28	scenarios	scenario	NOUN
cuesj-1390	22	29	.	.	PUNCT
cuesj-1390	23	1	the	the	DET
cuesj-1390	23	2	main	main	ADJ
cuesj-1390	23	3	purpose	purpose	NOUN
cuesj-1390	23	4	of	of	ADP
cuesj-1390	23	5	this	this	DET
cuesj-1390	23	6	research	research	NOUN
cuesj-1390	23	7	is	be	AUX
cuesj-1390	23	8	to	to	PART
cuesj-1390	23	9	gauge	gauge	VERB
cuesj-1390	23	10	the	the	DET
cuesj-1390	23	11	performances	performance	NOUN
cuesj-1390	23	12	for	for	ADP
cuesj-1390	23	13	different	different	ADJ
cuesj-1390	23	14	kernel	kernel	NOUN
cuesj-1390	23	15	functions	function	NOUN
cuesj-1390	23	16	of	of	ADP
cuesj-1390	23	17	svm	svm	PROPN
cuesj-1390	23	18	on	on	ADP
cuesj-1390	23	19	breast	breast	NOUN
cuesj-1390	23	20	cancer	cancer	NOUN
cuesj-1390	23	21	datasets	dataset	NOUN
cuesj-1390	23	22	,	,	PUNCT
cuesj-1390	23	23	such	such	ADJ
cuesj-1390	23	24	as	as	ADP
cuesj-1390	23	25	a	a	DET
cuesj-1390	23	26	linear	linear	ADJ
cuesj-1390	23	27	,	,	PUNCT
cuesj-1390	23	28	polynomial	polynomial	ADJ
cuesj-1390	23	29	,	,	PUNCT
cuesj-1390	23	30	and	and	CCONJ
cuesj-1390	23	31	rbf	rbf	PROPN
cuesj-1390	23	32	kernel	kernel	PROPN
cuesj-1390	23	33	for	for	ADP
cuesj-1390	23	34	the	the	DET
cuesj-1390	23	35	most	most	ADV
cuesj-1390	23	36	appropriate	appropriate	ADJ
cuesj-1390	23	37	kernel	kernel	NOUN
cuesj-1390	23	38	regarding	regard	VERB
cuesj-1390	23	39	their	their	PRON
cuesj-1390	23	40	performance	performance	NOUN
cuesj-1390	23	41	on	on	ADP
cuesj-1390	23	42	breast	breast	NOUN
cuesj-1390	23	43	cancer	cancer	NOUN
cuesj-1390	23	44	data	datum	NOUN
cuesj-1390	23	45	effective	effective	ADJ
cuesj-1390	23	46	detection	detection	NOUN
cuesj-1390	23	47	and	and	CCONJ
cuesj-1390	23	48	classification	classification	NOUN
cuesj-1390	23	49	.	.	PUNCT
cuesj-1390	24	1	this	this	DET
cuesj-1390	24	2	study	study	NOUN
cuesj-1390	24	3	will	will	AUX
cuesj-1390	24	4	carry	carry	VERB
cuesj-1390	24	5	out	out	ADP
cuesj-1390	24	6	the	the	DET
cuesj-1390	24	7	assessment	assessment	NOUN
cuesj-1390	24	8	of	of	ADP
cuesj-1390	24	9	the	the	DET
cuesj-1390	24	10	various	various	ADJ
cuesj-1390	24	11	functions	function	NOUN
cuesj-1390	24	12	of	of	ADP
cuesj-1390	24	13	kernels	kernel	NOUN
cuesj-1390	24	14	and	and	CCONJ
cuesj-1390	24	15	their	their	PRON
cuesj-1390	24	16	efficiency	efficiency	NOUN
cuesj-1390	24	17	in	in	ADP
cuesj-1390	24	18	performance	performance	NOUN
cuesj-1390	24	19	and	and	CCONJ
cuesj-1390	24	20	develop	develop	VERB
cuesj-1390	24	21	insight	insight	NOUN
cuesj-1390	24	22	into	into	ADP
cuesj-1390	24	23	choosing	choose	VERB
cuesj-1390	24	24	the	the	DET
cuesj-1390	24	25	appropriate	appropriate	ADJ
cuesj-1390	24	26	kernel	kernel	NOUN
cuesj-1390	24	27	function	function	NOUN
cuesj-1390	24	28	among	among	ADP
cuesj-1390	24	29	the	the	DET
cuesj-1390	24	30	options	option	NOUN
cuesj-1390	24	31	given	give	VERB
cuesj-1390	24	32	for	for	ADP
cuesj-1390	24	33	the	the	DET
cuesj-1390	24	34	choice	choice	NOUN
cuesj-1390	24	35	of	of	ADP
cuesj-1390	24	36	a	a	DET
cuesj-1390	24	37	kernel	kernel	NOUN
cuesj-1390	24	38	function	function	NOUN
cuesj-1390	24	39	in	in	ADP
cuesj-1390	24	40	certain	certain	ADJ
cuesj-1390	24	41	datasets	dataset	NOUN
cuesj-1390	24	42	.	.	PUNCT
cuesj-1390	25	1	literature	literature	NOUN
cuesj-1390	25	2	review	review	VERB
cuesj-1390	25	3	traditional	traditional	ADJ
cuesj-1390	25	4	methods	method	NOUN
cuesj-1390	25	5	for	for	ADP
cuesj-1390	25	6	diagnosis	diagnosis	NOUN
cuesj-1390	25	7	of	of	ADP
cuesj-1390	25	8	breast	breast	NOUN
cuesj-1390	25	9	cancer	cancer	NOUN
cuesj-1390	25	10	include	include	VERB
cuesj-1390	25	11	several	several	ADJ
cuesj-1390	25	12	diagnostic	diagnostic	ADJ
cuesj-1390	25	13	modalities	modality	NOUN
cuesj-1390	25	14	such	such	ADJ
cuesj-1390	25	15	as	as	ADP
cuesj-1390	25	16	mammography	mammography	NOUN
cuesj-1390	25	17	,	,	PUNCT
cuesj-1390	25	18	ultrasound	ultrasound	NOUN
cuesj-1390	25	19	,	,	PUNCT
cuesj-1390	25	20	and	and	CCONJ
cuesj-1390	25	21	biopsies	biopsy	NOUN
cuesj-1390	25	22	.	.	PUNCT
cuesj-1390	26	1	however	however	ADV
cuesj-1390	26	2	,	,	PUNCT
cuesj-1390	26	3	these	these	DET
cuesj-1390	26	4	methods	method	NOUN
cuesj-1390	26	5	are	be	AUX
cuesj-1390	26	6	not	not	PART
cuesj-1390	26	7	without	without	ADP
cuesj-1390	26	8	their	their	PRON
cuesj-1390	26	9	limitations.[6	limitations.[6	NOUN
cuesj-1390	26	10	-	-	PUNCT
cuesj-1390	26	11	9	9	NUM
cuesj-1390	26	12	]	]	PUNCT
cuesj-1390	26	13	machine	machine	NOUN
cuesj-1390	26	14	learning	learning	NOUN
cuesj-1390	26	15	,	,	PUNCT
cuesj-1390	26	16	or	or	CCONJ
cuesj-1390	26	17	more	more	ADV
cuesj-1390	26	18	specifically	specifically	ADV
cuesj-1390	26	19	supervised	supervised	ADJ
cuesj-1390	26	20	learning	learning	NOUN
cuesj-1390	26	21	,	,	PUNCT
cuesj-1390	26	22	has	have	AUX
cuesj-1390	26	23	developed	develop	VERB
cuesj-1390	26	24	to	to	PART
cuesj-1390	26	25	effectively	effectively	ADV
cuesj-1390	26	26	enhance	enhance	VERB
cuesj-1390	26	27	the	the	DET
cuesj-1390	26	28	detection	detection	NOUN
cuesj-1390	26	29	and	and	CCONJ
cuesj-1390	26	30	classification	classification	NOUN
cuesj-1390	26	31	of	of	ADP
cuesj-1390	26	32	breast	breast	NOUN
cuesj-1390	26	33	cancer	cancer	NOUN
cuesj-1390	26	34	.	.	PUNCT
cuesj-1390	27	1	various	various	ADJ
cuesj-1390	27	2	studies	study	NOUN
cuesj-1390	27	3	have	have	AUX
cuesj-1390	27	4	been	be	AUX
cuesj-1390	27	5	carried	carry	VERB
cuesj-1390	27	6	out	out	ADP
cuesj-1390	27	7	that	that	PRON
cuesj-1390	27	8	apply	apply	VERB
cuesj-1390	27	9	several	several	ADJ
cuesj-1390	27	10	machine	machine	NOUN
cuesj-1390	27	11	learning	learning	NOUN
cuesj-1390	27	12	algorithms	algorithm	NOUN
cuesj-1390	27	13	,	,	PUNCT
cuesj-1390	27	14	such	such	ADJ
cuesj-1390	27	15	as	as	ADP
cuesj-1390	27	16	artificial	artificial	ADJ
cuesj-1390	27	17	neural	neural	ADJ
cuesj-1390	27	18	networks	network	NOUN
cuesj-1390	27	19	,	,	PUNCT
cuesj-1390	27	20	svms	svms	NOUN
cuesj-1390	27	21	,	,	PUNCT
cuesj-1390	27	22	and	and	CCONJ
cuesj-1390	27	23	ensemble	ensemble	ADJ
cuesj-1390	27	24	methods	method	NOUN
cuesj-1390	27	25	,	,	PUNCT
cuesj-1390	27	26	on	on	ADP
cuesj-1390	27	27	the	the	DET
cuesj-1390	27	28	imaging	imaging	NOUN
cuesj-1390	27	29	and	and	CCONJ
cuesj-1390	27	30	clinical	clinical	ADJ
cuesj-1390	27	31	datasets	dataset	NOUN
cuesj-1390	27	32	for	for	ADP
cuesj-1390	27	33	the	the	DET
cuesj-1390	27	34	diagnosis	diagnosis	NOUN
cuesj-1390	27	35	of	of	ADP
cuesj-1390	27	36	breast	breast	NOUN
cuesj-1390	27	37	cancer.[10	cancer.[10	NOUN
cuesj-1390	27	38	]	]	PUNCT
cuesj-1390	27	39	of	of	ADP
cuesj-1390	27	40	all	all	DET
cuesj-1390	27	41	these	these	PRON
cuesj-1390	27	42	,	,	PUNCT
cuesj-1390	27	43	the	the	DET
cuesj-1390	27	44	most	most	ADV
cuesj-1390	27	45	promising	promising	ADJ
cuesj-1390	27	46	performance	performance	NOUN
cuesj-1390	27	47	is	be	AUX
cuesj-1390	27	48	offered	offer	VERB
cuesj-1390	27	49	by	by	ADP
cuesj-1390	27	50	svms	svms	NOUN
cuesj-1390	27	51	,	,	PUNCT
cuesj-1390	27	52	which	which	PRON
cuesj-1390	27	53	classify	classify	VERB
cuesj-1390	27	54	the	the	DET
cuesj-1390	27	55	images	image	NOUN
cuesj-1390	27	56	and	and	CCONJ
cuesj-1390	27	57	clinical	clinical	ADJ
cuesj-1390	27	58	data	datum	NOUN
cuesj-1390	27	59	of	of	ADP
cuesj-1390	27	60	breast	breast	NOUN
cuesj-1390	27	61	cancer	cancer	NOUN
cuesj-1390	27	62	due	due	ADP
cuesj-1390	27	63	to	to	ADP
cuesj-1390	27	64	their	their	PRON
cuesj-1390	27	65	capability	capability	NOUN
cuesj-1390	27	66	to	to	PART
cuesj-1390	27	67	handle	handle	VERB
cuesj-1390	27	68	high	high	ADJ
cuesj-1390	27	69	-	-	PUNCT
cuesj-1390	27	70	dimensional	dimensional	ADJ
cuesj-1390	27	71	datasets	dataset	NOUN
cuesj-1390	27	72	with	with	ADP
cuesj-1390	27	73	fewer	few	ADJ
cuesj-1390	27	74	numbers	number	NOUN
cuesj-1390	27	75	of	of	ADP
cuesj-1390	27	76	total	total	ADJ
cuesj-1390	27	77	observations	observation	NOUN
cuesj-1390	27	78	effectively.[11	effectively.[11	PROPN
cuesj-1390	27	79	]	]	PUNCT
cuesj-1390	27	80	the	the	DET
cuesj-1390	27	81	svm	svm	PROPN
cuesj-1390	27	82	works	work	VERB
cuesj-1390	27	83	by	by	ADP
cuesj-1390	27	84	constructing	construct	VERB
cuesj-1390	27	85	a	a	DET
cuesj-1390	27	86	hyperplane	hyperplane	NOUN
cuesj-1390	27	87	that	that	PRON
cuesj-1390	27	88	maximizes	maximize	VERB
cuesj-1390	27	89	the	the	DET
cuesj-1390	27	90	margin	margin	NOUN
cuesj-1390	27	91	between	between	ADP
cuesj-1390	27	92	the	the	DET
cuesj-1390	27	93	data	data	NOUN
cuesj-1390	27	94	points	point	NOUN
cuesj-1390	27	95	of	of	ADP
cuesj-1390	27	96	different	different	ADJ
cuesj-1390	27	97	classes	class	NOUN
cuesj-1390	27	98	and	and	CCONJ
cuesj-1390	27	99	separates	separate	VERB
cuesj-1390	27	100	them	they	PRON
cuesj-1390	27	101	in	in	ADP
cuesj-1390	27	102	high	high	ADJ
cuesj-1390	27	103	-	-	PUNCT
cuesj-1390	27	104	dimensional	dimensional	ADJ
cuesj-1390	27	105	space	space	NOUN
cuesj-1390	27	106	.	.	PUNCT
cuesj-1390	28	1	data	datum	NOUN
cuesj-1390	28	2	points	point	VERB
cuesj-1390	28	3	closest	close	ADJ
cuesj-1390	28	4	to	to	ADP
cuesj-1390	28	5	the	the	DET
cuesj-1390	28	6	hyperplane	hyperplane	NOUN
cuesj-1390	28	7	are	be	AUX
cuesj-1390	28	8	called	call	VERB
cuesj-1390	28	9	support	support	NOUN
cuesj-1390	28	10	vectors	vector	NOUN
cuesj-1390	28	11	,	,	PUNCT
cuesj-1390	28	12	and	and	CCONJ
cuesj-1390	28	13	they	they	PRON
cuesj-1390	28	14	uniquely	uniquely	ADV
cuesj-1390	28	15	define	define	VERB
cuesj-1390	28	16	the	the	DET
cuesj-1390	28	17	position	position	NOUN
cuesj-1390	28	18	of	of	ADP
cuesj-1390	28	19	the	the	DET
cuesj-1390	28	20	hyperplane	hyperplane	NOUN
cuesj-1390	28	21	.	.	PUNCT
cuesj-1390	29	1	major	major	ADJ
cuesj-1390	29	2	performance	performance	NOUN
cuesj-1390	29	3	bases	basis	NOUN
cuesj-1390	29	4	of	of	ADP
cuesj-1390	29	5	svm	svm	PROPN
cuesj-1390	29	6	are	be	AUX
cuesj-1390	29	7	kernel	kernel	NOUN
cuesj-1390	29	8	functions	function	NOUN
cuesj-1390	29	9	,	,	PUNCT
cuesj-1390	29	10	as	as	SCONJ
cuesj-1390	29	11	they	they	PRON
cuesj-1390	29	12	allow	allow	VERB
cuesj-1390	29	13	non	non	ADJ
cuesj-1390	29	14	-	-	ADJ
cuesj-1390	29	15	linear	linear	ADJ
cuesj-1390	29	16	classification	classification	NOUN
cuesj-1390	29	17	without	without	ADP
cuesj-1390	29	18	explicit	explicit	ADJ
cuesj-1390	29	19	computation	computation	NOUN
cuesj-1390	29	20	of	of	ADP
cuesj-1390	29	21	transformation	transformation	NOUN
cuesj-1390	29	22	in	in	ADP
cuesj-1390	29	23	higher	high	ADJ
cuesj-1390	29	24	dimensional	dimensional	ADJ
cuesj-1390	29	25	space.[12	space.[12	PROPN
cuesj-1390	29	26	]	]	PUNCT
cuesj-1390	29	27	the	the	DET
cuesj-1390	29	28	selection	selection	NOUN
cuesj-1390	29	29	of	of	ADP
cuesj-1390	29	30	the	the	DET
cuesj-1390	29	31	kernel	kernel	PROPN
cuesj-1390	29	32	function	function	NOUN
cuesj-1390	29	33	in	in	ADP
cuesj-1390	29	34	svm	svm	PROPN
cuesj-1390	29	35	plays	play	VERB
cuesj-1390	29	36	a	a	DET
cuesj-1390	29	37	crucial	crucial	ADJ
cuesj-1390	29	38	role	role	NOUN
cuesj-1390	29	39	in	in	ADP
cuesj-1390	29	40	choosing	choose	VERB
cuesj-1390	29	41	the	the	DET
cuesj-1390	29	42	model	model	NOUN
cuesj-1390	29	43	’s	’s	PART
cuesj-1390	29	44	implementation	implementation	NOUN
cuesj-1390	29	45	.	.	PUNCT
cuesj-1390	30	1	the	the	DET
cuesj-1390	30	2	linear	linear	PROPN
cuesj-1390	30	3	kernel	kernel	NOUN
cuesj-1390	30	4	,	,	PUNCT
cuesj-1390	30	5	the	the	DET
cuesj-1390	30	6	simplest	simple	ADJ
cuesj-1390	30	7	model	model	NOUN
cuesj-1390	30	8	,	,	PUNCT
cuesj-1390	30	9	is	be	AUX
cuesj-1390	30	10	sufficient	sufficient	ADJ
cuesj-1390	30	11	for	for	ADP
cuesj-1390	30	12	linearly	linearly	ADV
cuesj-1390	30	13	detachable	detachable	ADJ
cuesj-1390	30	14	data	datum	NOUN
cuesj-1390	30	15	but	but	CCONJ
cuesj-1390	30	16	can	can	AUX
cuesj-1390	30	17	not	not	PART
cuesj-1390	30	18	be	be	AUX
cuesj-1390	30	19	used	use	VERB
cuesj-1390	30	20	when	when	SCONJ
cuesj-1390	30	21	dealing	deal	VERB
cuesj-1390	30	22	with	with	ADP
cuesj-1390	30	23	complex	complex	ADJ
cuesj-1390	30	24	and	and	CCONJ
cuesj-1390	30	25	non	non	ADJ
cuesj-1390	30	26	-	-	ADJ
cuesj-1390	30	27	linear	linear	ADJ
cuesj-1390	30	28	datasets	dataset	NOUN
cuesj-1390	30	29	.	.	PUNCT
cuesj-1390	31	1	a	a	DET
cuesj-1390	31	2	study	study	NOUN
cuesj-1390	31	3	has	have	AUX
cuesj-1390	31	4	revealed	reveal	VERB
cuesj-1390	31	5	that	that	SCONJ
cuesj-1390	31	6	svms	svms	NOUN
cuesj-1390	31	7	employing	employ	VERB
cuesj-1390	31	8	a	a	DET
cuesj-1390	31	9	linear	linear	ADJ
cuesj-1390	31	10	kernel	kernel	NOUN
cuesj-1390	31	11	can	can	AUX
cuesj-1390	31	12	achieve	achieve	VERB
cuesj-1390	31	13	high	high	ADJ
cuesj-1390	31	14	accuracy	accuracy	NOUN
cuesj-1390	31	15	on	on	ADP
cuesj-1390	31	16	smaller	small	ADJ
cuesj-1390	31	17	datasets.[13	datasets.[13	PROPN
cuesj-1390	31	18	]	]	PUNCT
cuesj-1390	31	19	conversely	conversely	ADV
cuesj-1390	31	20	,	,	PUNCT
cuesj-1390	31	21	the	the	DET
cuesj-1390	31	22	rbf	rbf	PROPN
cuesj-1390	31	23	kernel	kernel	PROPN
cuesj-1390	31	24	is	be	AUX
cuesj-1390	31	25	one	one	NUM
cuesj-1390	31	26	of	of	ADP
cuesj-1390	31	27	the	the	DET
cuesj-1390	31	28	most	most	ADV
cuesj-1390	31	29	adequate	adequate	ADJ
cuesj-1390	31	30	functions	function	NOUN
cuesj-1390	31	31	for	for	ADP
cuesj-1390	31	32	breast	breast	NOUN
cuesj-1390	31	33	cancer	cancer	NOUN
cuesj-1390	31	34	detection	detection	NOUN
cuesj-1390	31	35	.	.	PUNCT
cuesj-1390	32	1	studies	study	NOUN
cuesj-1390	32	2	demonstrated	demonstrate	VERB
cuesj-1390	32	3	that	that	SCONJ
cuesj-1390	32	4	rbf	rbf	PROPN
cuesj-1390	32	5	-	-	PUNCT
cuesj-1390	32	6	based	base	VERB
cuesj-1390	32	7	svms	svms	NOUN
cuesj-1390	32	8	outperform	outperform	VERB
cuesj-1390	32	9	other	other	ADJ
cuesj-1390	32	10	kernel	kernel	NOUN
cuesj-1390	32	11	functions	function	NOUN
cuesj-1390	32	12	in	in	ADP
cuesj-1390	32	13	accuracy	accuracy	NOUN
cuesj-1390	32	14	and	and	CCONJ
cuesj-1390	32	15	robustness	robustness	NOUN
cuesj-1390	32	16	,	,	PUNCT
cuesj-1390	32	17	especially	especially	ADV
cuesj-1390	32	18	in	in	ADP
cuesj-1390	32	19	non	non	ADJ
cuesj-1390	32	20	-	-	ADJ
cuesj-1390	32	21	linear	linear	ADJ
cuesj-1390	32	22	datasets	dataset	NOUN
cuesj-1390	32	23	.	.	PUNCT
cuesj-1390	33	1	for	for	ADP
cuesj-1390	33	2	instance	instance	NOUN
cuesj-1390	33	3	,	,	PUNCT
cuesj-1390	33	4	one	one	NUM
cuesj-1390	33	5	study	study	NOUN
cuesj-1390	33	6	revealed	reveal	VERB
cuesj-1390	33	7	that	that	SCONJ
cuesj-1390	33	8	the	the	DET
cuesj-1390	33	9	rbf	rbf	PROPN
cuesj-1390	33	10	kernel	kernel	PROPN
cuesj-1390	33	11	performed	perform	VERB
cuesj-1390	33	12	an	an	DET
cuesj-1390	33	13	accuracy	accuracy	NOUN
cuesj-1390	33	14	of	of	ADP
cuesj-1390	33	15	89.1	89.1	NUM
cuesj-1390	33	16	%	%	NOUN
cuesj-1390	33	17	,	,	PUNCT
cuesj-1390	33	18	exceeding	exceed	VERB
cuesj-1390	33	19	the	the	DET
cuesj-1390	33	20	polynomial	polynomial	ADJ
cuesj-1390	33	21	and	and	CCONJ
cuesj-1390	33	22	linear	linear	PROPN
cuesj-1390	33	23	functions.[14	functions.[14	PROPN
cuesj-1390	33	24	]	]	PUNCT
cuesj-1390	33	25	similarly	similarly	ADV
cuesj-1390	33	26	,	,	PUNCT
cuesj-1390	33	27	another	another	DET
cuesj-1390	33	28	investigation	investigation	NOUN
cuesj-1390	33	29	revealed	reveal	VERB
cuesj-1390	33	30	that	that	SCONJ
cuesj-1390	33	31	rbf	rbf	PROPN
cuesj-1390	33	32	models	model	NOUN
cuesj-1390	33	33	optimized	optimize	VERB
cuesj-1390	33	34	with	with	ADP
cuesj-1390	33	35	genetic	genetic	ADJ
cuesj-1390	33	36	algorithms	algorithm	NOUN
cuesj-1390	33	37	achieved	achieve	VERB
cuesj-1390	33	38	accuracies	accuracy	NOUN
cuesj-1390	33	39	of	of	ADP
cuesj-1390	33	40	97.71%.[15	97.71%.[15	NUM
cuesj-1390	33	41	]	]	PUNCT
cuesj-1390	33	42	this	this	DET
cuesj-1390	33	43	research	research	NOUN
cuesj-1390	33	44	paper	paper	NOUN
cuesj-1390	33	45	investigates	investigate	VERB
cuesj-1390	33	46	the	the	DET
cuesj-1390	33	47	effectiveness	effectiveness	NOUN
cuesj-1390	33	48	of	of	ADP
cuesj-1390	33	49	kernel	kernel	PROPN
cuesj-1390	33	50	function	function	PROPN
cuesj-1390	33	51	selection	selection	NOUN
cuesj-1390	33	52	,	,	PUNCT
cuesj-1390	33	53	compares	compare	VERB
cuesj-1390	33	54	the	the	DET
cuesj-1390	33	55	performance	performance	NOUN
cuesj-1390	33	56	of	of	ADP
cuesj-1390	33	57	different	different	ADJ
cuesj-1390	33	58	kernel	kernel	NOUN
cuesj-1390	33	59	functions	function	NOUN
cuesj-1390	33	60	,	,	PUNCT
cuesj-1390	33	61	and	and	CCONJ
cuesj-1390	33	62	discusses	discuss	VERB
cuesj-1390	33	63	optimization	optimization	NOUN
cuesj-1390	33	64	techniques	technique	NOUN
cuesj-1390	33	65	to	to	PART
cuesj-1390	33	66	improve	improve	VERB
cuesj-1390	33	67	svm	svm	ADJ
cuesj-1390	33	68	classification	classification	NOUN
cuesj-1390	33	69	accuracy	accuracy	NOUN
cuesj-1390	33	70	in	in	ADP
cuesj-1390	33	71	breast	breast	NOUN
cuesj-1390	33	72	cancer	cancer	NOUN
cuesj-1390	33	73	data	datum	NOUN
cuesj-1390	33	74	.	.	PUNCT
cuesj-1390	34	1	materials	material	NOUN
cuesj-1390	34	2	and	and	CCONJ
cuesj-1390	34	3	methods	method	NOUN
cuesj-1390	34	4	kernel	kernel	PROPN
cuesj-1390	34	5	functions	function	NOUN
cuesj-1390	34	6	linear	linear	PROPN
cuesj-1390	34	7	kernel	kernel	PROPN
cuesj-1390	34	8	the	the	DET
cuesj-1390	34	9	linear	linear	ADJ
cuesj-1390	34	10	kernel	kernel	PROPN
cuesj-1390	34	11	performs	perform	VERB
cuesj-1390	34	12	a	a	DET
cuesj-1390	34	13	dot	dot	NOUN
cuesj-1390	34	14	product	product	NOUN
cuesj-1390	34	15	of	of	ADP
cuesj-1390	34	16	input	input	NOUN
cuesj-1390	34	17	vectors	vector	NOUN
cuesj-1390	34	18	and	and	CCONJ
cuesj-1390	34	19	is	be	AUX
cuesj-1390	34	20	suitable	suitable	ADJ
cuesj-1390	34	21	for	for	ADP
cuesj-1390	34	22	linearly	linearly	ADV
cuesj-1390	34	23	separable	separable	ADJ
cuesj-1390	34	24	data.[16	data.[16	PROPN
cuesj-1390	34	25	]	]	PUNCT
cuesj-1390	35	1	the	the	DET
cuesj-1390	35	2	linear	linear	PROPN
cuesj-1390	35	3	kernel	kernel	PROPN
cuesj-1390	35	4	tries	try	VERB
cuesj-1390	35	5	to	to	PART
cuesj-1390	35	6	find	find	VERB
cuesj-1390	35	7	a	a	DET
cuesj-1390	35	8	line	line	NOUN
cuesj-1390	35	9	that	that	PRON
cuesj-1390	35	10	maximizes	maximize	VERB
cuesj-1390	35	11	margins	margin	NOUN
cuesj-1390	35	12	and	and	CCONJ
cuesj-1390	35	13	minimizes	minimizes	ADJ
cuesj-1390	35	14	misclassification	misclassification	NOUN
cuesj-1390	35	15	.	.	PUNCT
cuesj-1390	36	1	it	it	PRON
cuesj-1390	36	2	is	be	AUX
cuesj-1390	36	3	intended	intend	VERB
cuesj-1390	36	4	to	to	PART
cuesj-1390	36	5	find	find	VERB
cuesj-1390	36	6	a	a	DET
cuesj-1390	36	7	hyperplane	hyperplane	NOUN
cuesj-1390	36	8	that	that	PRON
cuesj-1390	36	9	maximizes	maximize	VERB
cuesj-1390	36	10	the	the	DET
cuesj-1390	36	11	margins	margin	NOUN
cuesj-1390	36	12	between	between	ADP
cuesj-1390	36	13	classes	class	NOUN
cuesj-1390	36	14	and	and	CCONJ
cuesj-1390	36	15	,	,	PUNCT
cuesj-1390	36	16	at	at	ADP
cuesj-1390	36	17	the	the	DET
cuesj-1390	36	18	same	same	ADJ
cuesj-1390	36	19	time	time	NOUN
cuesj-1390	36	20	,	,	PUNCT
cuesj-1390	36	21	minimizes	minimize	NOUN
cuesj-1390	36	22	misclassifications	misclassification	NOUN
cuesj-1390	36	23	.	.	PUNCT
cuesj-1390	37	1	k(x	k(x	PROPN
cuesj-1390	37	2	,	,	PUNCT
cuesj-1390	37	3	y	y	NOUN
cuesj-1390	37	4	)	)	PUNCT
cuesj-1390	37	5	=	=	PUNCT
cuesj-1390	38	1	x.z	x.z	PROPN
cuesj-1390	39	1	+	+	NUM
cuesj-1390	39	2	c	c	NOUN
cuesj-1390	39	3	(	(	PUNCT
cuesj-1390	39	4	1	1	NUM
cuesj-1390	39	5	)	)	PUNCT
cuesj-1390	39	6	c	c	NOUN
cuesj-1390	39	7	is	be	AUX
cuesj-1390	39	8	a	a	DET
cuesj-1390	39	9	parameter	parameter	NOUN
cuesj-1390	39	10	that	that	PRON
cuesj-1390	39	11	controls	control	VERB
cuesj-1390	39	12	the	the	DET
cuesj-1390	39	13	trade	trade	NOUN
cuesj-1390	39	14	-	-	PUNCT
cuesj-1390	39	15	off	off	NOUN
cuesj-1390	39	16	between	between	ADP
cuesj-1390	39	17	the	the	DET
cuesj-1390	39	18	margin	margin	NOUN
cuesj-1390	39	19	of	of	ADP
cuesj-1390	39	20	the	the	DET
cuesj-1390	39	21	decision	decision	NOUN
cuesj-1390	39	22	boundary	boundary	NOUN
cuesj-1390	39	23	and	and	CCONJ
cuesj-1390	39	24	the	the	DET
cuesj-1390	39	25	accuracy	accuracy	NOUN
cuesj-1390	39	26	of	of	ADP
cuesj-1390	39	27	classifying	classify	VERB
cuesj-1390	39	28	the	the	DET
cuesj-1390	39	29	training	training	NOUN
cuesj-1390	39	30	data	datum	NOUN
cuesj-1390	39	31	.	.	PUNCT
cuesj-1390	40	1	as	as	ADP
cuesj-1390	40	2	the	the	DET
cuesj-1390	40	3	value	value	NOUN
cuesj-1390	40	4	of	of	ADP
cuesj-1390	40	5	c	c	NOUN
cuesj-1390	40	6	increases	increase	NOUN
cuesj-1390	40	7	,	,	PUNCT
cuesj-1390	40	8	the	the	DET
cuesj-1390	40	9	tolerance	tolerance	NOUN
cuesj-1390	40	10	for	for	ADP
cuesj-1390	40	11	misclassification	misclassification	NOUN
cuesj-1390	40	12	decreases	decrease	VERB
cuesj-1390	40	13	,	,	PUNCT
cuesj-1390	40	14	resulting	result	VERB
cuesj-1390	40	15	in	in	ADP
cuesj-1390	40	16	a	a	DET
cuesj-1390	40	17	narrower	narrow	ADJ
cuesj-1390	40	18	margin.[17	margin.[17	ADJ
cuesj-1390	40	19	]	]	X
cuesj-1390	40	20	polynomial	polynomial	ADJ
cuesj-1390	40	21	kernel	kernel	PROPN
cuesj-1390	40	22	the	the	DET
cuesj-1390	40	23	polynomial	polynomial	ADJ
cuesj-1390	40	24	kernel	kernel	PROPN
cuesj-1390	40	25	maps	maps	PROPN
cuesj-1390	40	26	input	input	NOUN
cuesj-1390	40	27	data	datum	NOUN
cuesj-1390	40	28	to	to	ADP
cuesj-1390	40	29	a	a	DET
cuesj-1390	40	30	higher	higher	ADV
cuesj-1390	40	31	-	-	PUNCT
cuesj-1390	40	32	dimensional	dimensional	ADJ
cuesj-1390	40	33	space	space	NOUN
cuesj-1390	40	34	using	use	VERB
cuesj-1390	40	35	a	a	DET
cuesj-1390	40	36	polynomial	polynomial	ADJ
cuesj-1390	40	37	function	function	NOUN
cuesj-1390	40	38	,	,	PUNCT
cuesj-1390	40	39	with	with	ADP
cuesj-1390	40	40	different	different	ADJ
cuesj-1390	40	41	degrees	degree	NOUN
cuesj-1390	40	42	influencing	influence	VERB
cuesj-1390	40	43	the	the	DET
cuesj-1390	40	44	model	model	NOUN
cuesj-1390	40	45	’s	’s	PART
cuesj-1390	40	46	complexity.[18	complexity.[18	PROPN
cuesj-1390	40	47	]	]	X
cuesj-1390	40	48	k(x	k(x	PROPN
cuesj-1390	40	49	,	,	PUNCT
cuesj-1390	40	50	y	y	NOUN
cuesj-1390	40	51	)	)	PUNCT
cuesj-1390	40	52	=	=	NOUN
cuesj-1390	40	53	(	(	PUNCT
cuesj-1390	40	54	γ	γ	X
cuesj-1390	40	55	x.z	x.z	PROPN
cuesj-1390	40	56	+	+	NUM
cuesj-1390	40	57	c)d	c)d	NOUN
cuesj-1390	40	58	(	(	PUNCT
cuesj-1390	40	59	2	2	X
cuesj-1390	40	60	)	)	PUNCT
cuesj-1390	40	61	γ	γ	NOUN
cuesj-1390	40	62	is	be	AUX
cuesj-1390	40	63	a	a	DET
cuesj-1390	40	64	scaling	scale	VERB
cuesj-1390	40	65	parameter	parameter	NOUN
cuesj-1390	40	66	that	that	PRON
cuesj-1390	40	67	determines	determine	VERB
cuesj-1390	40	68	the	the	DET
cuesj-1390	40	69	influence	influence	NOUN
cuesj-1390	40	70	of	of	ADP
cuesj-1390	40	71	the	the	DET
cuesj-1390	40	72	inner	inner	ADJ
cuesj-1390	40	73	product	product	NOUN
cuesj-1390	40	74	x.z	x.z	PROPN
cuesj-1390	40	75	.	.	PROPN
cuesj-1390	41	1	d	d	PROPN
cuesj-1390	41	2	is	be	AUX
cuesj-1390	41	3	the	the	DET
cuesj-1390	41	4	degree	degree	NOUN
cuesj-1390	41	5	of	of	ADP
cuesj-1390	41	6	polynomial	polynomial	ADJ
cuesj-1390	41	7	rbf	rbf	PROPN
cuesj-1390	41	8	it	it	PRON
cuesj-1390	41	9	is	be	AUX
cuesj-1390	41	10	one	one	NUM
cuesj-1390	41	11	of	of	ADP
cuesj-1390	41	12	the	the	DET
cuesj-1390	41	13	most	most	ADV
cuesj-1390	41	14	popular	popular	ADJ
cuesj-1390	41	15	kernels	kernel	NOUN
cuesj-1390	41	16	.	.	PUNCT
cuesj-1390	42	1	rbf	rbf	PROPN
cuesj-1390	42	2	kernel	kernel	PROPN
cuesj-1390	42	3	measures	measure	VERB
cuesj-1390	42	4	similarity	similarity	NOUN
cuesj-1390	42	5	based	base	VERB
cuesj-1390	42	6	on	on	ADP
cuesj-1390	42	7	the	the	DET
cuesj-1390	42	8	radial	radial	ADJ
cuesj-1390	42	9	distance	distance	NOUN
cuesj-1390	42	10	between	between	ADP
cuesj-1390	42	11	data	datum	NOUN
cuesj-1390	42	12	points	point	NOUN
cuesj-1390	42	13	,	,	PUNCT
cuesj-1390	42	14	using	use	VERB
cuesj-1390	42	15	a	a	DET
cuesj-1390	42	16	gamma	gamma	NOUN
cuesj-1390	42	17	parameter	parameter	NOUN
cuesj-1390	42	18	that	that	PRON
cuesj-1390	42	19	controls	control	VERB
cuesj-1390	42	20	the	the	DET
cuesj-1390	42	21	influence	influence	NOUN
cuesj-1390	42	22	of	of	ADP
cuesj-1390	42	23	each	each	DET
cuesj-1390	42	24	data	datum	NOUN
cuesj-1390	42	25	point.[19,20	point.[19,20	NOUN
cuesj-1390	42	26	]	]	PUNCT
cuesj-1390	42	27	k(x	k(x	PROPN
cuesj-1390	42	28	,	,	PUNCT
cuesj-1390	42	29	y	y	NOUN
cuesj-1390	42	30	)	)	PUNCT
cuesj-1390	42	31	=	=	PUNCT
cuesj-1390	43	1	exp(-γ‖x	exp(-γ‖x	PROPN
cuesj-1390	43	2	-	-	PUNCT
cuesj-1390	43	3	z‖2	z‖2	NOUN
cuesj-1390	43	4	)	)	PUNCT
cuesj-1390	43	5	(	(	PUNCT
cuesj-1390	43	6	3	3	X
cuesj-1390	43	7	)	)	PUNCT
cuesj-1390	43	8	where	where	SCONJ
cuesj-1390	43	9	γ	γ	X
cuesj-1390	43	10	>	>	X
cuesj-1390	43	11	0	0	NUM
cuesj-1390	44	1	each	each	DET
cuesj-1390	44	2	kernel	kernel	NOUN
cuesj-1390	44	3	has	have	VERB
cuesj-1390	44	4	advantages	advantage	NOUN
cuesj-1390	44	5	and	and	CCONJ
cuesj-1390	44	6	disadvantages	disadvantage	NOUN
cuesj-1390	44	7	,	,	PUNCT
cuesj-1390	44	8	and	and	CCONJ
cuesj-1390	44	9	the	the	DET
cuesj-1390	44	10	best	good	ADJ
cuesj-1390	44	11	choice	choice	NOUN
cuesj-1390	44	12	often	often	ADV
cuesj-1390	44	13	depends	depend	VERB
cuesj-1390	44	14	on	on	ADP
cuesj-1390	44	15	the	the	DET
cuesj-1390	44	16	nature	nature	NOUN
cuesj-1390	44	17	of	of	ADP
cuesj-1390	44	18	the	the	DET
cuesj-1390	44	19	input	input	NOUN
cuesj-1390	44	20	data.[9	data.[9	NOUN
cuesj-1390	44	21	]	]	PUNCT
cuesj-1390	44	22	whereas	whereas	SCONJ
cuesj-1390	44	23	much	much	ADJ
cuesj-1390	44	24	research	research	NOUN
cuesj-1390	44	25	has	have	AUX
cuesj-1390	44	26	been	be	AUX
cuesj-1390	44	27	directed	direct	VERB
cuesj-1390	44	28	toward	toward	ADP
cuesj-1390	44	29	machine	machine	NOUN
cuesj-1390	44	30	learning	learning	NOUN
cuesj-1390	44	31	in	in	ADP
cuesj-1390	44	32	the	the	DET
cuesj-1390	44	33	detection	detection	NOUN
cuesj-1390	44	34	of	of	ADP
cuesj-1390	44	35	breast	breast	NOUN
cuesj-1390	44	36	cancer	cancer	NOUN
cuesj-1390	44	37	,	,	PUNCT
cuesj-1390	44	38	the	the	DET
cuesj-1390	44	39	literature	literature	NOUN
cuesj-1390	44	40	indicates	indicate	VERB
cuesj-1390	44	41	a	a	DET
cuesj-1390	44	42	lack	lack	NOUN
cuesj-1390	44	43	of	of	ADP
cuesj-1390	44	44	comparative	comparative	ADJ
cuesj-1390	44	45	studies	study	NOUN
cuesj-1390	44	46	that	that	PRON
cuesj-1390	44	47	have	have	AUX
cuesj-1390	44	48	analyzed	analyze	VERB
cuesj-1390	44	49	and	and	CCONJ
cuesj-1390	44	50	compared	compare	VERB
cuesj-1390	44	51	the	the	DET
cuesj-1390	44	52	performances	performance	NOUN
cuesj-1390	44	53	of	of	ADP
cuesj-1390	44	54	different	different	ADJ
cuesj-1390	44	55	svm	svm	ADJ
cuesj-1390	44	56	kernel	kernel	NOUN
cuesj-1390	44	57	functions	function	NOUN
cuesj-1390	44	58	on	on	ADP
cuesj-1390	44	59	different	different	ADJ
cuesj-1390	44	60	datasets	dataset	NOUN
cuesj-1390	44	61	regarding	regard	VERB
cuesj-1390	44	62	classification	classification	NOUN
cuesj-1390	44	63	.	.	PUNCT
cuesj-1390	45	1	therefore	therefore	ADV
cuesj-1390	45	2	,	,	PUNCT
cuesj-1390	45	3	the	the	DET
cuesj-1390	45	4	literature	literature	NOUN
cuesj-1390	45	5	demonstrates	demonstrate	VERB
cuesj-1390	45	6	the	the	DET
cuesj-1390	45	7	need	need	NOUN
cuesj-1390	45	8	to	to	PART
cuesj-1390	45	9	conduct	conduct	VERB
cuesj-1390	45	10	a	a	DET
cuesj-1390	45	11	systematic	systematic	ADJ
cuesj-1390	45	12	study	study	NOUN
cuesj-1390	45	13	of	of	ADP
cuesj-1390	45	14	different	different	ADJ
cuesj-1390	45	15	svm	svm	ADJ
cuesj-1390	45	16	kernels	kernel	NOUN
cuesj-1390	45	17	by	by	ADP
cuesj-1390	45	18	using	use	VERB
cuesj-1390	45	19	publicly	publicly	ADV
cuesj-1390	45	20	available	available	ADJ
cuesj-1390	45	21	datasets	dataset	NOUN
cuesj-1390	45	22	related	relate	VERB
cuesj-1390	45	23	to	to	ADP
cuesj-1390	45	24	breast	breast	NOUN
cuesj-1390	45	25	cancer	cancer	NOUN
cuesj-1390	45	26	.	.	PUNCT
cuesj-1390	46	1	in	in	ADP
cuesj-1390	46	2	this	this	DET
cuesj-1390	46	3	respect	respect	NOUN
cuesj-1390	46	4	,	,	PUNCT
cuesj-1390	46	5	therefore	therefore	ADV
cuesj-1390	46	6	,	,	PUNCT
cuesj-1390	46	7	the	the	DET
cuesj-1390	46	8	present	present	ADJ
cuesj-1390	46	9	work	work	NOUN
cuesj-1390	46	10	meets	meet	VERB
cuesj-1390	46	11	this	this	DET
cuesj-1390	46	12	gap	gap	NOUN
cuesj-1390	46	13	in	in	ADP
cuesj-1390	46	14	the	the	DET
cuesj-1390	46	15	literature	literature	NOUN
cuesj-1390	46	16	by	by	ADP
cuesj-1390	46	17	comparing	compare	VERB
cuesj-1390	46	18	the	the	DET
cuesj-1390	46	19	different	different	ADJ
cuesj-1390	46	20	types	type	NOUN
cuesj-1390	46	21	of	of	ADP
cuesj-1390	46	22	svm	svm	ADJ
cuesj-1390	46	23	kernels	kernel	NOUN
cuesj-1390	46	24	in	in	ADP
cuesj-1390	46	25	-	-	PUNCT
cuesj-1390	46	26	depth	depth	NOUN
cuesj-1390	46	27	,	,	PUNCT
cuesj-1390	46	28	as	as	ADV
cuesj-1390	46	29	much	much	ADV
cuesj-1390	46	30	as	as	ADP
cuesj-1390	46	31	possible	possible	ADJ
cuesj-1390	46	32	,	,	PUNCT
cuesj-1390	46	33	and	and	CCONJ
cuesj-1390	46	34	intends	intend	VERB
cuesj-1390	46	35	to	to	PART
cuesj-1390	46	36	determine	determine	VERB
cuesj-1390	46	37	which	which	DET
cuesj-1390	46	38	kernel	kernel	PROPN
cuesj-1390	46	39	best	well	ADV
cuesj-1390	46	40	fits	fit	VERB
cuesj-1390	46	41	the	the	DET
cuesj-1390	46	42	purpose	purpose	NOUN
cuesj-1390	46	43	of	of	ADP
cuesj-1390	46	44	detecting	detect	VERB
cuesj-1390	46	45	and	and	CCONJ
cuesj-1390	46	46	classifying	classify	VERB
cuesj-1390	46	47	breast	breast	NOUN
cuesj-1390	46	48	cancer	cancer	NOUN
cuesj-1390	46	49	,	,	PUNCT
cuesj-1390	46	50	including	include	VERB
cuesj-1390	46	51	the	the	DET
cuesj-1390	46	52	discussion	discussion	NOUN
cuesj-1390	46	53	of	of	ADP
cuesj-1390	46	54	advantages	advantage	NOUN
cuesj-1390	46	55	and	and	CCONJ
cuesj-1390	46	56	disadvantages	disadvantage	NOUN
cuesj-1390	46	57	associated	associate	VERB
cuesj-1390	46	58	with	with	ADP
cuesj-1390	46	59	each	each	DET
cuesj-1390	46	60	kernel	kernel	NOUN
cuesj-1390	46	61	.	.	PUNCT
cuesj-1390	47	1	dataset	dataset	ADJ
cuesj-1390	47	2	description	description	NOUN
cuesj-1390	47	3	the	the	DET
cuesj-1390	47	4	performance	performance	NOUN
cuesj-1390	47	5	of	of	ADP
cuesj-1390	47	6	the	the	DET
cuesj-1390	47	7	various	various	ADJ
cuesj-1390	47	8	kernel	kernel	NOUN
cuesj-1390	47	9	functions	function	NOUN
cuesj-1390	47	10	in	in	ADP
cuesj-1390	47	11	svm	svm	PROPN
cuesj-1390	47	12	was	be	AUX
cuesj-1390	47	13	compared	compare	VERB
cuesj-1390	47	14	using	use	VERB
cuesj-1390	47	15	the	the	DET
cuesj-1390	47	16	open	open	PROPN
cuesj-1390	47	17	wisconsin	wisconsin	PROPN
cuesj-1390	47	18	breast	breast	PROPN
cuesj-1390	47	19	salih	salih	PROPN
cuesj-1390	47	20	and	and	CCONJ
cuesj-1390	47	21	mahmood	mahmood	PROPN
cuesj-1390	47	22	:	:	PUNCT
cuesj-1390	47	23	svm	svm	PROPN
cuesj-1390	47	24	kernel	kernel	PROPN
cuesj-1390	47	25	functions	function	NOUN
cuesj-1390	47	26	for	for	ADP
cuesj-1390	47	27	breast	breast	NOUN
cuesj-1390	47	28	cancer	cancer	NOUN
cuesj-1390	47	29	classification	classification	NOUN
cuesj-1390	47	30	43	43	NUM
cuesj-1390	47	31	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	47	32	cuesj	cuesj	NOUN
cuesj-1390	47	33	2025	2025	NUM
cuesj-1390	47	34	,	,	PUNCT
cuesj-1390	47	35	9	9	NUM
cuesj-1390	47	36	(	(	PUNCT
cuesj-1390	47	37	1	1	NUM
cuesj-1390	47	38	):	):	PUNCT
cuesj-1390	47	39	41	41	NUM
cuesj-1390	47	40	-	-	SYM
cuesj-1390	47	41	46	46	NUM
cuesj-1390	47	42	cancer	cancer	NOUN
cuesj-1390	47	43	(	(	PUNCT
cuesj-1390	47	44	wbc	wbc	PROPN
cuesj-1390	47	45	)	)	PUNCT
cuesj-1390	47	46	dataset	dataset	VERB
cuesj-1390	47	47	from	from	ADP
cuesj-1390	47	48	the	the	DET
cuesj-1390	47	49	uci	uci	PROPN
cuesj-1390	47	50	machine	machine	NOUN
cuesj-1390	47	51	learning	learn	VERB
cuesj-1390	47	52	repository.[21	repository.[21	PROPN
cuesj-1390	47	53	]	]	PUNCT
cuesj-1390	47	54	this	this	DET
cuesj-1390	47	55	dataset	dataset	NOUN
cuesj-1390	47	56	contains	contain	VERB
cuesj-1390	47	57	569	569	NUM
cuesj-1390	47	58	instances	instance	NOUN
cuesj-1390	47	59	,	,	PUNCT
cuesj-1390	47	60	and	and	CCONJ
cuesj-1390	47	61	each	each	DET
cuesj-1390	47	62	instance	instance	NOUN
cuesj-1390	47	63	is	be	AUX
cuesj-1390	47	64	characterized	characterize	VERB
cuesj-1390	47	65	by	by	ADP
cuesj-1390	47	66	30	30	NUM
cuesj-1390	47	67	features	feature	NOUN
cuesj-1390	47	68	(	(	PUNCT
cuesj-1390	47	69	variables	variable	NOUN
cuesj-1390	47	70	)	)	PUNCT
cuesj-1390	47	71	computed	compute	VERB
cuesj-1390	47	72	from	from	ADP
cuesj-1390	47	73	digitized	digitize	VERB
cuesj-1390	47	74	images	image	NOUN
cuesj-1390	47	75	of	of	ADP
cuesj-1390	47	76	the	the	DET
cuesj-1390	47	77	fine	fine	ADJ
cuesj-1390	47	78	needle	needle	NOUN
cuesj-1390	47	79	aspiration	aspiration	NOUN
cuesj-1390	47	80	.	.	PUNCT
cuesj-1390	48	1	these	these	DET
cuesj-1390	48	2	features	feature	NOUN
cuesj-1390	48	3	describe	describe	VERB
cuesj-1390	48	4	the	the	DET
cuesj-1390	48	5	cell	cell	NOUN
cuesj-1390	48	6	nuclei	nucleus	NOUN
cuesj-1390	48	7	’s	’s	PART
cuesj-1390	48	8	properties	property	NOUN
cuesj-1390	48	9	in	in	ADP
cuesj-1390	48	10	the	the	DET
cuesj-1390	48	11	image	image	NOUN
cuesj-1390	48	12	,	,	PUNCT
cuesj-1390	48	13	including	include	VERB
cuesj-1390	48	14	radius	radius	NOUN
cuesj-1390	48	15	,	,	PUNCT
cuesj-1390	48	16	texture	texture	NOUN
cuesj-1390	48	17	,	,	PUNCT
cuesj-1390	48	18	perimeter	perimeter	NOUN
cuesj-1390	48	19	,	,	PUNCT
cuesj-1390	48	20	area	area	NOUN
cuesj-1390	48	21	,	,	PUNCT
cuesj-1390	48	22	smoothness	smoothness	NOUN
cuesj-1390	48	23	,	,	PUNCT
cuesj-1390	48	24	compactness	compactness	NOUN
cuesj-1390	48	25	,	,	PUNCT
cuesj-1390	48	26	concavity	concavity	NOUN
cuesj-1390	48	27	,	,	PUNCT
cuesj-1390	48	28	concave	concave	NOUN
cuesj-1390	48	29	points	point	NOUN
cuesj-1390	48	30	,	,	PUNCT
cuesj-1390	48	31	symmetry	symmetry	NOUN
cuesj-1390	48	32	,	,	PUNCT
cuesj-1390	48	33	and	and	CCONJ
cuesj-1390	48	34	fractal	fractal	ADJ
cuesj-1390	48	35	dimension	dimension	NOUN
cuesj-1390	48	36	,	,	PUNCT
cuesj-1390	48	37	with	with	ADP
cuesj-1390	48	38	measurements	measurement	NOUN
cuesj-1390	48	39	for	for	ADP
cuesj-1390	48	40	mean	mean	VERB
cuesj-1390	48	41	,	,	PUNCT
cuesj-1390	48	42	standard	standard	ADJ
cuesj-1390	48	43	error	error	NOUN
cuesj-1390	48	44	,	,	PUNCT
cuesj-1390	48	45	and	and	CCONJ
cuesj-1390	48	46	worst	bad	ADJ
cuesj-1390	48	47	values	value	NOUN
cuesj-1390	48	48	.	.	PUNCT
cuesj-1390	49	1	the	the	DET
cuesj-1390	49	2	dataset	dataset	NOUN
cuesj-1390	49	3	is	be	AUX
cuesj-1390	49	4	binary	binary	ADJ
cuesj-1390	49	5	,	,	PUNCT
cuesj-1390	49	6	with	with	ADP
cuesj-1390	49	7	357	357	NUM
cuesj-1390	49	8	instances	instance	NOUN
cuesj-1390	49	9	labeled	label	VERB
cuesj-1390	49	10	benign	benign	ADJ
cuesj-1390	49	11	and	and	CCONJ
cuesj-1390	49	12	212	212	NUM
cuesj-1390	49	13	instances	instance	NOUN
cuesj-1390	49	14	labeled	label	VERB
cuesj-1390	49	15	malignant	malignant	ADJ
cuesj-1390	49	16	.	.	PUNCT
cuesj-1390	50	1	data	datum	NOUN
cuesj-1390	50	2	pre	pre	ADJ
cuesj-1390	50	3	-	-	ADJ
cuesj-1390	50	4	processing	processing	NOUN
cuesj-1390	50	5	before	before	ADP
cuesj-1390	50	6	training	train	VERB
cuesj-1390	50	7	the	the	DET
cuesj-1390	50	8	svm	svm	ADJ
cuesj-1390	50	9	classifiers	classifier	NOUN
cuesj-1390	50	10	,	,	PUNCT
cuesj-1390	50	11	several	several	ADJ
cuesj-1390	50	12	pre	pre	ADJ
cuesj-1390	50	13	-	-	ADJ
cuesj-1390	50	14	processing	processing	ADJ
cuesj-1390	50	15	steps	step	NOUN
cuesj-1390	50	16	were	be	AUX
cuesj-1390	50	17	performed	perform	VERB
cuesj-1390	50	18	on	on	ADP
cuesj-1390	50	19	the	the	DET
cuesj-1390	50	20	dataset	dataset	NOUN
cuesj-1390	50	21	.	.	PUNCT
cuesj-1390	51	1	first	first	ADV
cuesj-1390	51	2	,	,	PUNCT
cuesj-1390	51	3	an	an	DET
cuesj-1390	51	4	inspection	inspection	NOUN
cuesj-1390	51	5	for	for	ADP
cuesj-1390	51	6	missing	miss	VERB
cuesj-1390	51	7	values	value	NOUN
cuesj-1390	51	8	revealed	reveal	VERB
cuesj-1390	51	9	that	that	SCONJ
cuesj-1390	51	10	none	none	NOUN
cuesj-1390	51	11	were	be	AUX
cuesj-1390	51	12	present	present	ADJ
cuesj-1390	51	13	in	in	ADP
cuesj-1390	51	14	this	this	DET
cuesj-1390	51	15	specific	specific	ADJ
cuesj-1390	51	16	dataset	dataset	NOUN
cuesj-1390	51	17	.	.	PUNCT
cuesj-1390	52	1	this	this	PRON
cuesj-1390	52	2	guarantees	guarantee	VERB
cuesj-1390	52	3	that	that	SCONJ
cuesj-1390	52	4	all	all	DET
cuesj-1390	52	5	features	feature	NOUN
cuesj-1390	52	6	contribute	contribute	VERB
cuesj-1390	52	7	equally	equally	ADV
cuesj-1390	52	8	to	to	ADP
cuesj-1390	52	9	the	the	DET
cuesj-1390	52	10	classification	classification	NOUN
cuesj-1390	52	11	process	process	NOUN
cuesj-1390	52	12	and	and	CCONJ
cuesj-1390	52	13	helps	help	VERB
cuesj-1390	52	14	avoid	avoid	VERB
cuesj-1390	52	15	potential	potential	ADJ
cuesj-1390	52	16	numerical	numerical	ADJ
cuesj-1390	52	17	instability	instability	NOUN
cuesj-1390	52	18	issues	issue	NOUN
cuesj-1390	52	19	.	.	PUNCT
cuesj-1390	53	1	in	in	ADP
cuesj-1390	53	2	addition	addition	NOUN
cuesj-1390	53	3	,	,	PUNCT
cuesj-1390	53	4	the	the	DET
cuesj-1390	53	5	processed	process	VERB
cuesj-1390	53	6	data	datum	NOUN
cuesj-1390	53	7	was	be	AUX
cuesj-1390	53	8	divided	divide	VERB
cuesj-1390	53	9	into	into	ADP
cuesj-1390	53	10	a	a	DET
cuesj-1390	53	11	training	training	NOUN
cuesj-1390	53	12	set	set	NOUN
cuesj-1390	53	13	(	(	PUNCT
cuesj-1390	53	14	70	70	NUM
cuesj-1390	53	15	%	%	NOUN
cuesj-1390	53	16	)	)	PUNCT
cuesj-1390	53	17	and	and	CCONJ
cuesj-1390	53	18	a	a	DET
cuesj-1390	53	19	testing	testing	NOUN
cuesj-1390	53	20	set	set	VERB
cuesj-1390	53	21	(	(	PUNCT
cuesj-1390	53	22	30	30	NUM
cuesj-1390	53	23	%	%	NOUN
cuesj-1390	53	24	)	)	PUNCT
cuesj-1390	53	25	aligning	align	VERB
cuesj-1390	53	26	with	with	ADP
cuesj-1390	53	27	common	common	ADJ
cuesj-1390	53	28	practices	practice	NOUN
cuesj-1390	53	29	to	to	PART
cuesj-1390	53	30	balance	balance	VERB
cuesj-1390	53	31	model	model	NOUN
cuesj-1390	53	32	training	training	NOUN
cuesj-1390	53	33	and	and	CCONJ
cuesj-1390	53	34	evaluation	evaluation	NOUN
cuesj-1390	53	35	.	.	PUNCT
cuesj-1390	54	1	evaluation	evaluation	NOUN
cuesj-1390	54	2	metrics	metric	NOUN
cuesj-1390	54	3	the	the	DET
cuesj-1390	54	4	confusion	confusion	NOUN
cuesj-1390	54	5	matrix	matrix	NOUN
cuesj-1390	54	6	,	,	PUNCT
cuesj-1390	54	7	accuracy	accuracy	NOUN
cuesj-1390	54	8	,	,	PUNCT
cuesj-1390	54	9	sensitivity	sensitivity	NOUN
cuesj-1390	54	10	,	,	PUNCT
cuesj-1390	54	11	and	and	CCONJ
cuesj-1390	54	12	specificity	specificity	NOUN
cuesj-1390	54	13	are	be	AUX
cuesj-1390	54	14	key	key	ADJ
cuesj-1390	54	15	metrics	metric	NOUN
cuesj-1390	54	16	used	use	VERB
cuesj-1390	54	17	for	for	ADP
cuesj-1390	54	18	evaluating	evaluate	VERB
cuesj-1390	54	19	classification	classification	NOUN
cuesj-1390	54	20	models	model	NOUN
cuesj-1390	54	21	.	.	PUNCT
cuesj-1390	55	1	each	each	DET
cuesj-1390	55	2	one	one	NOUN
cuesj-1390	55	3	exhibits	exhibit	VERB
cuesj-1390	55	4	distinct	distinct	ADJ
cuesj-1390	55	5	strengths	strength	NOUN
cuesj-1390	55	6	and	and	CCONJ
cuesj-1390	55	7	shortcomings	shortcoming	NOUN
cuesj-1390	55	8	depending	depend	VERB
cuesj-1390	55	9	on	on	ADP
cuesj-1390	55	10	the	the	DET
cuesj-1390	55	11	specific	specific	ADJ
cuesj-1390	55	12	problem	problem	NOUN
cuesj-1390	55	13	,	,	PUNCT
cuesj-1390	55	14	particularly	particularly	ADV
cuesj-1390	55	15	with	with	ADP
cuesj-1390	55	16	respect	respect	NOUN
cuesj-1390	55	17	to	to	ADP
cuesj-1390	55	18	class	class	NOUN
cuesj-1390	55	19	imbalance	imbalance	NOUN
cuesj-1390	55	20	.	.	PUNCT
cuesj-1390	56	1	confusion	confusion	NOUN
cuesj-1390	56	2	matrix	matrix	NOUN
cuesj-1390	56	3	it	it	PRON
cuesj-1390	56	4	is	be	AUX
cuesj-1390	56	5	a	a	DET
cuesj-1390	56	6	metric	metric	NOUN
cuesj-1390	56	7	that	that	PRON
cuesj-1390	56	8	illustrates	illustrate	VERB
cuesj-1390	56	9	the	the	DET
cuesj-1390	56	10	performance	performance	NOUN
cuesj-1390	56	11	of	of	ADP
cuesj-1390	56	12	the	the	DET
cuesj-1390	56	13	classification	classification	NOUN
cuesj-1390	56	14	algorithm	algorithm	NOUN
cuesj-1390	56	15	based	base	VERB
cuesj-1390	56	16	on	on	ADP
cuesj-1390	56	17	the	the	DET
cuesj-1390	56	18	data	datum	NOUN
cuesj-1390	56	19	contained	contain	VERB
cuesj-1390	56	20	within	within	ADP
cuesj-1390	56	21	it	it	PRON
cuesj-1390	56	22	.	.	PUNCT
cuesj-1390	57	1	for	for	ADP
cuesj-1390	57	2	a	a	DET
cuesj-1390	57	3	binary	binary	ADJ
cuesj-1390	57	4	classification	classification	NOUN
cuesj-1390	57	5	,	,	PUNCT
cuesj-1390	57	6	it	it	PRON
cuesj-1390	57	7	can	can	AUX
cuesj-1390	57	8	be	be	AUX
cuesj-1390	57	9	expressed	express	VERB
cuesj-1390	57	10	in	in	ADP
cuesj-1390	57	11	table	table	NOUN
cuesj-1390	57	12	1	1	NUM
cuesj-1390	57	13	.	.	PUNCT
cuesj-1390	57	14	accuracy	accuracy	NOUN
cuesj-1390	57	15	accuracy	accuracy	NOUN
cuesj-1390	57	16	measures	measure	NOUN
cuesj-1390	57	17	how	how	SCONJ
cuesj-1390	57	18	many	many	ADJ
cuesj-1390	57	19	predictions	prediction	NOUN
cuesj-1390	57	20	were	be	AUX
cuesj-1390	57	21	made	make	VERB
cuesj-1390	57	22	correctly	correctly	ADV
cuesj-1390	57	23	regarding	regard	VERB
cuesj-1390	57	24	all	all	DET
cuesj-1390	57	25	cases	case	NOUN
cuesj-1390	57	26	predicted	predict	VERB
cuesj-1390	57	27	.	.	PUNCT
cuesj-1390	58	1	accuracy	accuracy	NOUN
cuesj-1390	58	2	means	mean	VERB
cuesj-1390	58	3	all	all	DET
cuesj-1390	58	4	positive	positive	ADJ
cuesj-1390	58	5	and	and	CCONJ
cuesj-1390	58	6	negative	negative	ADJ
cuesj-1390	58	7	results	result	NOUN
cuesj-1390	58	8	were	be	AUX
cuesj-1390	58	9	true	true	ADJ
cuesj-1390	58	10	.	.	PUNCT
cuesj-1390	59	1	it	it	PRON
cuesj-1390	59	2	is	be	AUX
cuesj-1390	59	3	simple	simple	ADJ
cuesj-1390	59	4	to	to	PART
cuesj-1390	59	5	understand	understand	VERB
cuesj-1390	59	6	and	and	CCONJ
cuesj-1390	59	7	compute	compute	VERB
cuesj-1390	59	8	and	and	CCONJ
cuesj-1390	59	9	work	work	VERB
cuesj-1390	59	10	well	well	ADV
cuesj-1390	59	11	when	when	SCONJ
cuesj-1390	59	12	the	the	DET
cuesj-1390	59	13	classes	class	NOUN
cuesj-1390	59	14	are	be	AUX
cuesj-1390	59	15	balanced.[22	balanced.[22	ADJ
cuesj-1390	59	16	]	]	PUNCT
cuesj-1390	59	17	accuracy	accuracy	NOUN
cuesj-1390	59	18	nmber	nmber	NOUN
cuesj-1390	59	19	of	of	ADP
cuesj-1390	59	20	correct	correct	ADJ
cuesj-1390	59	21	predictions	prediction	NOUN
cuesj-1390	59	22	total	total	ADJ
cuesj-1390	59	23	number	number	NOUN
cuesj-1390	59	24	of	of	ADP
cuesj-1390	59	25	predi	predi	PROPN
cuesj-1390	59	26	�	�	PROPN
cuesj-1390	59	27	            	            	SPACE
cuesj-1390	59	28	cctions	cction	NOUN
cuesj-1390	59	29	tp	tp	ADP
cuesj-1390	59	30	tn	tn	PROPN
cuesj-1390	59	31	tp	tp	ADP
cuesj-1390	59	32	tn	tn	PROPN
cuesj-1390	59	33	fn	fn	PROPN
cuesj-1390	59	34	fp	fp	PRON
cuesj-1390	59	35	�	�	PROPN
cuesj-1390	59	36	�	�	PROPN
cuesj-1390	59	37	�	�	PROPN
cuesj-1390	59	38	�	�	PROPN
cuesj-1390	59	39	�	�	PROPN
cuesj-1390	59	40	(	(	PUNCT
cuesj-1390	59	41	4	4	NUM
cuesj-1390	59	42	)	)	PUNCT
cuesj-1390	59	43	sensitivity	sensitivity	NOUN
cuesj-1390	59	44	the	the	DET
cuesj-1390	59	45	sensitivity	sensitivity	NOUN
cuesj-1390	59	46	(	(	PUNCT
cuesj-1390	59	47	recall	recall	NOUN
cuesj-1390	59	48	)	)	PUNCT
cuesj-1390	59	49	is	be	AUX
cuesj-1390	59	50	the	the	DET
cuesj-1390	59	51	degree	degree	NOUN
cuesj-1390	59	52	of	of	ADP
cuesj-1390	59	53	effectiveness	effectiveness	NOUN
cuesj-1390	59	54	in	in	ADP
cuesj-1390	59	55	a	a	DET
cuesj-1390	59	56	classification	classification	NOUN
cuesj-1390	59	57	algorithm	algorithm	NOUN
cuesj-1390	59	58	that	that	PRON
cuesj-1390	59	59	classifies	classify	VERB
cuesj-1390	59	60	data	datum	NOUN
cuesj-1390	59	61	points	point	NOUN
cuesj-1390	59	62	into	into	ADP
cuesj-1390	59	63	a	a	DET
cuesj-1390	59	64	positive	positive	ADJ
cuesj-1390	59	65	class.[23	class.[23	PROPN
cuesj-1390	59	66	]	]	PUNCT
cuesj-1390	59	67	sensitivity	sensitivity	NOUN
cuesj-1390	59	68	�	�	PROPN
cuesj-1390	59	69	recall	recall	NOUN
cuesj-1390	59	70	(	(	PUNCT
cuesj-1390	59	71	)	)	PUNCT
cuesj-1390	59	72	�	�	PROPN
cuesj-1390	59	73	�	�	PROPN
cuesj-1390	59	74	�	�	PROPN
cuesj-1390	59	75	tp	tp	VERB
cuesj-1390	59	76	tp	tp	ADP
cuesj-1390	59	77	fn	fn	PROPN
cuesj-1390	59	78	(	(	PUNCT
cuesj-1390	59	79	5	5	NUM
cuesj-1390	59	80	)	)	PUNCT
cuesj-1390	59	81	specificity	specificity	NOUN
cuesj-1390	59	82	this	this	PRON
cuesj-1390	59	83	is	be	AUX
cuesj-1390	59	84	the	the	DET
cuesj-1390	59	85	measure	measure	NOUN
cuesj-1390	59	86	of	of	ADP
cuesj-1390	59	87	a	a	DET
cuesj-1390	59	88	degree	degree	NOUN
cuesj-1390	59	89	of	of	ADP
cuesj-1390	59	90	effectiveness	effectiveness	NOUN
cuesj-1390	59	91	in	in	ADP
cuesj-1390	59	92	a	a	DET
cuesj-1390	59	93	classification	classification	NOUN
cuesj-1390	59	94	approach	approach	NOUN
cuesj-1390	59	95	in	in	ADP
cuesj-1390	59	96	classifying	classify	VERB
cuesj-1390	59	97	data	datum	NOUN
cuesj-1390	59	98	into	into	ADP
cuesj-1390	59	99	the	the	DET
cuesj-1390	59	100	negative	negative	ADJ
cuesj-1390	59	101	class.[24	class.[24	NOUN
cuesj-1390	59	102	]	]	PUNCT
cuesj-1390	59	103	specificity	specificity	NOUN
cuesj-1390	59	104	�	�	PROPN
cuesj-1390	59	105	�	�	PROPN
cuesj-1390	59	106	tn	tn	PROPN
cuesj-1390	59	107	tn	tn	PROPN
cuesj-1390	59	108	fp	fp	PROPN
cuesj-1390	59	109	(	(	PUNCT
cuesj-1390	59	110	6	6	NUM
cuesj-1390	59	111	)	)	PUNCT
cuesj-1390	59	112	�	�	PROPN
cuesj-1390	59	113	*	*	PUNCT
cuesj-1390	59	114	*	*	PUNCT
cuesj-1390	59	115	*	*	PUNCT
cuesj-1390	59	116	�	�	PROPN
cuesj-1390	59	117	,	,	PUNCT
cuesj-1390	59	118	�	�	PROPN
cuesj-1390	59	119	,	,	PUNCT
cuesj-1390	59	120	�	�	PROPN
cuesj-1390	59	121	,	,	PUNCT
cuesj-1390	59	122	f	f	PROPN
cuesj-1390	59	123	precision	precision	PROPN
cuesj-1390	59	124	recall	recall	PROPN
cuesj-1390	59	125	precision	precision	PROPN
cuesj-1390	59	126	recall	recall	PROPN
cuesj-1390	59	127	�	�	PROPN
cuesj-1390	59	128	�	�	PROPN
cuesj-1390	59	129	�	�	PROPN
cuesj-1390	59	130	�	�	PROPN
cuesj-1390	59	131	�	�	PROPN
cuesj-1390	59	132	�	�	PROPN
cuesj-1390	59	133	�	�	PROPN
cuesj-1390	59	134	�	�	PROPN
cuesj-1390	59	135	�	�	PROPN
cuesj-1390	59	136	�	�	PROPN
cuesj-1390	59	137	�	�	PROPN
cuesj-1390	59	138	�	�	PROPN
cuesj-1390	59	139	1	1	NUM
cuesj-1390	59	140	1	1	NUM
cuesj-1390	59	141	2	2	NUM
cuesj-1390	59	142	2	2	NUM
cuesj-1390	59	143	2	2	NUM
cuesj-1390	59	144	�	�	PROPN
cuesj-1390	59	145	�	�	NOUN
cuesj-1390	59	146	3	3	NUM
cuesj-1390	59	147	(	(	PUNCT
cuesj-1390	59	148	7	7	NUM
cuesj-1390	59	149	)	)	PUNCT
cuesj-1390	59	150	f	f	NOUN
cuesj-1390	59	151	-	-	PUNCT
cuesj-1390	59	152	scores	score	VERB
cuesj-1390	59	153	the	the	DET
cuesj-1390	59	154	f1	f1	NOUN
cuesj-1390	59	155	,	,	PUNCT
cuesj-1390	59	156	f2	f2	PROPN
cuesj-1390	59	157	,	,	PUNCT
cuesj-1390	59	158	and	and	CCONJ
cuesj-1390	59	159	f3	f3	ADJ
cuesj-1390	59	160	scores	score	NOUN
cuesj-1390	59	161	are	be	AUX
cuesj-1390	59	162	obtained	obtain	VERB
cuesj-1390	59	163	by	by	ADP
cuesj-1390	59	164	setting	set	VERB
cuesj-1390	59	165	β	β	PRON
cuesj-1390	59	166	to	to	ADP
cuesj-1390	59	167	1	1	NUM
cuesj-1390	59	168	,	,	PUNCT
cuesj-1390	59	169	2	2	NUM
cuesj-1390	59	170	,	,	PUNCT
cuesj-1390	59	171	and	and	CCONJ
cuesj-1390	59	172	3	3	NUM
cuesj-1390	59	173	,	,	PUNCT
cuesj-1390	59	174	and	and	CCONJ
cuesj-1390	59	175	taking	take	VERB
cuesj-1390	59	176	a	a	DET
cuesj-1390	59	177	positive	positive	ADJ
cuesj-1390	59	178	real	real	ADJ
cuesj-1390	59	179	number	number	NOUN
cuesj-1390	59	180	.	.	PUNCT
cuesj-1390	60	1	f1	f1	ADJ
cuesj-1390	60	2	-	-	PUNCT
cuesj-1390	60	3	score	score	NOUN
cuesj-1390	60	4	matric	matric	NOUN
cuesj-1390	60	5	combines	combine	VERB
cuesj-1390	60	6	two	two	NUM
cuesj-1390	60	7	different	different	ADJ
cuesj-1390	60	8	metrics	metric	NOUN
cuesj-1390	60	9	(	(	PUNCT
cuesj-1390	60	10	precision	precision	NOUN
cuesj-1390	60	11	and	and	CCONJ
cuesj-1390	60	12	recall	recall	NOUN
cuesj-1390	60	13	)	)	PUNCT
cuesj-1390	60	14	.	.	PUNCT
cuesj-1390	61	1	these	these	DET
cuesj-1390	61	2	metrics	metric	NOUN
cuesj-1390	61	3	are	be	AUX
cuesj-1390	61	4	the	the	DET
cuesj-1390	61	5	most	most	ADV
cuesj-1390	61	6	used	used	ADJ
cuesj-1390	61	7	performance	performance	NOUN
cuesj-1390	61	8	metrics	metric	NOUN
cuesj-1390	61	9	in	in	ADP
cuesj-1390	61	10	medical	medical	ADJ
cuesj-1390	61	11	research	research	NOUN
cuesj-1390	61	12	,	,	PUNCT
cuesj-1390	61	13	which	which	PRON
cuesj-1390	61	14	involve	involve	VERB
cuesj-1390	61	15	diagnosis	diagnosis	NOUN
cuesj-1390	61	16	and	and	CCONJ
cuesj-1390	61	17	classification.[25	classification.[25	PROPN
cuesj-1390	61	18	]	]	PUNCT
cuesj-1390	61	19	area	area	NOUN
cuesj-1390	61	20	under	under	ADP
cuesj-1390	61	21	the	the	DET
cuesj-1390	61	22	curve	curve	NOUN
cuesj-1390	61	23	(	(	PUNCT
cuesj-1390	61	24	auc	auc	NOUN
cuesj-1390	61	25	)	)	PUNCT
cuesj-1390	61	26	the	the	DET
cuesj-1390	61	27	auc	auc	NOUN
cuesj-1390	61	28	is	be	AUX
cuesj-1390	61	29	a	a	DET
cuesj-1390	61	30	vital	vital	ADJ
cuesj-1390	61	31	metric	metric	NOUN
cuesj-1390	61	32	of	of	ADP
cuesj-1390	61	33	performance	performance	NOUN
cuesj-1390	61	34	for	for	ADP
cuesj-1390	61	35	any	any	DET
cuesj-1390	61	36	classification	classification	NOUN
cuesj-1390	61	37	models	model	NOUN
cuesj-1390	61	38	.	.	PUNCT
cuesj-1390	62	1	the	the	PRON
cuesj-1390	62	2	higher	high	ADJ
cuesj-1390	62	3	the	the	DET
cuesj-1390	62	4	auc	auc	NOUN
cuesj-1390	62	5	,	,	PUNCT
cuesj-1390	62	6	the	the	PRON
cuesj-1390	62	7	better	well	ADJ
cuesj-1390	62	8	the	the	DET
cuesj-1390	62	9	model.[25,26	model.[25,26	NOUN
cuesj-1390	62	10	]	]	PUNCT
cuesj-1390	62	11	svm	svm	ADJ
cuesj-1390	62	12	implementation	implementation	NOUN
cuesj-1390	62	13	the	the	DET
cuesj-1390	62	14	svm	svm	ADJ
cuesj-1390	62	15	classifiers	classifier	NOUN
cuesj-1390	62	16	were	be	AUX
cuesj-1390	62	17	implemented	implement	VERB
cuesj-1390	62	18	in	in	ADP
cuesj-1390	62	19	matlab	matlab	PROPN
cuesj-1390	62	20	r2022a	r2022a	PROPN
cuesj-1390	62	21	,	,	PUNCT
cuesj-1390	62	22	using	use	VERB
cuesj-1390	62	23	the	the	DET
cuesj-1390	62	24	(	(	PUNCT
cuesj-1390	62	25	fitcsvm	fitcsvm	ADJ
cuesj-1390	62	26	)	)	PUNCT
cuesj-1390	62	27	function	function	NOUN
cuesj-1390	62	28	for	for	ADP
cuesj-1390	62	29	appropriate	appropriate	ADJ
cuesj-1390	62	30	corresponding	corresponding	ADJ
cuesj-1390	62	31	types	type	NOUN
cuesj-1390	62	32	,	,	PUNCT
cuesj-1390	62	33	namely	namely	ADV
cuesj-1390	62	34	linear	linear	ADJ
cuesj-1390	62	35	kernel	kernel	NOUN
cuesj-1390	62	36	,	,	PUNCT
cuesj-1390	62	37	polynomial	polynomial	ADJ
cuesj-1390	62	38	kernel	kernel	NOUN
cuesj-1390	62	39	,	,	PUNCT
cuesj-1390	62	40	and	and	CCONJ
cuesj-1390	62	41	rbf	rbf	PROPN
cuesj-1390	62	42	kernel	kernel	PROPN
cuesj-1390	62	43	,	,	PUNCT
cuesj-1390	62	44	and	and	CCONJ
cuesj-1390	62	45	5	5	NUM
cuesj-1390	62	46	-	-	PUNCT
cuesj-1390	62	47	folds	fold	VERB
cuesj-1390	62	48	cross	cross	NOUN
cuesj-1390	62	49	-	-	NOUN
cuesj-1390	62	50	validation	validation	NOUN
cuesj-1390	62	51	for	for	ADP
cuesj-1390	62	52	tuning	tune	VERB
cuesj-1390	62	53	the	the	DET
cuesj-1390	62	54	hyperparameters	hyperparameter	NOUN
cuesj-1390	62	55	so	so	SCONJ
cuesj-1390	62	56	that	that	SCONJ
cuesj-1390	62	57	the	the	DET
cuesj-1390	62	58	generalizability	generalizability	NOUN
cuesj-1390	62	59	of	of	ADP
cuesj-1390	62	60	the	the	DET
cuesj-1390	62	61	model	model	NOUN
cuesj-1390	62	62	could	could	AUX
cuesj-1390	62	63	be	be	AUX
cuesj-1390	62	64	checked	check	VERB
cuesj-1390	62	65	,	,	PUNCT
cuesj-1390	62	66	and	and	CCONJ
cuesj-1390	62	67	overfitting	overfitting	NOUN
cuesj-1390	62	68	was	be	AUX
cuesj-1390	62	69	reduced	reduce	VERB
cuesj-1390	62	70	as	as	ADV
cuesj-1390	62	71	far	far	ADV
cuesj-1390	62	72	as	as	ADP
cuesj-1390	62	73	possible	possible	ADJ
cuesj-1390	62	74	.	.	PUNCT
cuesj-1390	63	1	results	result	NOUN
cuesj-1390	63	2	and	and	CCONJ
cuesj-1390	63	3	discussion	discussion	NOUN
cuesj-1390	63	4	this	this	DET
cuesj-1390	63	5	section	section	NOUN
cuesj-1390	63	6	is	be	AUX
cuesj-1390	63	7	followed	follow	VERB
cuesj-1390	63	8	by	by	ADP
cuesj-1390	63	9	comparing	compare	VERB
cuesj-1390	63	10	the	the	DET
cuesj-1390	63	11	performance	performance	NOUN
cuesj-1390	63	12	of	of	ADP
cuesj-1390	63	13	three	three	NUM
cuesj-1390	63	14	svms	svms	NOUN
cuesj-1390	63	15	:	:	PUNCT
cuesj-1390	63	16	linear	linear	ADJ
cuesj-1390	63	17	,	,	PUNCT
cuesj-1390	63	18	polynomial	polynomial	ADJ
cuesj-1390	63	19	,	,	PUNCT
cuesj-1390	63	20	and	and	CCONJ
cuesj-1390	63	21	rbfs	rbfs	NOUN
cuesj-1390	63	22	.	.	PUNCT
cuesj-1390	64	1	a	a	DET
cuesj-1390	64	2	confusion	confusion	NOUN
cuesj-1390	64	3	matrix	matrix	NOUN
cuesj-1390	64	4	was	be	AUX
cuesj-1390	64	5	then	then	ADV
cuesj-1390	64	6	created	create	VERB
cuesj-1390	64	7	to	to	PART
cuesj-1390	64	8	evaluate	evaluate	VERB
cuesj-1390	64	9	the	the	DET
cuesj-1390	64	10	performance	performance	NOUN
cuesj-1390	64	11	of	of	ADP
cuesj-1390	64	12	the	the	DET
cuesj-1390	64	13	models	model	NOUN
cuesj-1390	64	14	,	,	PUNCT
cuesj-1390	64	15	which	which	PRON
cuesj-1390	64	16	allowed	allow	VERB
cuesj-1390	64	17	several	several	ADJ
cuesj-1390	64	18	parameters	parameter	NOUN
cuesj-1390	64	19	to	to	PART
cuesj-1390	64	20	be	be	AUX
cuesj-1390	64	21	calculated	calculate	VERB
cuesj-1390	64	22	,	,	PUNCT
cuesj-1390	64	23	such	such	ADJ
cuesj-1390	64	24	as	as	ADP
cuesj-1390	64	25	accuracy	accuracy	NOUN
cuesj-1390	64	26	,	,	PUNCT
cuesj-1390	64	27	precision	precision	NOUN
cuesj-1390	64	28	,	,	PUNCT
cuesj-1390	64	29	recall	recall	NOUN
cuesj-1390	64	30	,	,	PUNCT
cuesj-1390	64	31	specificity	specificity	NOUN
cuesj-1390	64	32	,	,	PUNCT
cuesj-1390	64	33	and	and	CCONJ
cuesj-1390	64	34	f	f	X
cuesj-1390	64	35	-	-	PUNCT
cuesj-1390	64	36	scores	score	NOUN
cuesj-1390	64	37	,	,	PUNCT
cuesj-1390	64	38	such	such	ADJ
cuesj-1390	64	39	as	as	ADP
cuesj-1390	64	40	the	the	DET
cuesj-1390	64	41	f1	f1	NOUN
cuesj-1390	64	42	,	,	PUNCT
cuesj-1390	64	43	f2	f2	PROPN
cuesj-1390	64	44	,	,	PUNCT
cuesj-1390	64	45	and	and	CCONJ
cuesj-1390	64	46	f3	f3	ADJ
cuesj-1390	64	47	scores	score	NOUN
cuesj-1390	64	48	.	.	PUNCT
cuesj-1390	65	1	furthermore	furthermore	ADV
cuesj-1390	65	2	,	,	PUNCT
cuesj-1390	65	3	auc	auc	NOUN
cuesj-1390	65	4	can	can	AUX
cuesj-1390	65	5	also	also	ADV
cuesj-1390	65	6	be	be	AUX
cuesj-1390	65	7	used	use	VERB
cuesj-1390	65	8	for	for	ADP
cuesj-1390	65	9	the	the	DET
cuesj-1390	65	10	measure	measure	NOUN
cuesj-1390	65	11	in	in	ADP
cuesj-1390	65	12	the	the	DET
cuesj-1390	65	13	comparison	comparison	NOUN
cuesj-1390	65	14	of	of	ADP
cuesj-1390	65	15	classifiers	classifier	NOUN
cuesj-1390	65	16	since	since	SCONJ
cuesj-1390	65	17	high	high	ADJ
cuesj-1390	65	18	auc	auc	NOUN
cuesj-1390	65	19	will	will	AUX
cuesj-1390	65	20	indicate	indicate	VERB
cuesj-1390	65	21	better	well	ADJ
cuesj-1390	65	22	performance	performance	NOUN
cuesj-1390	65	23	in	in	ADP
cuesj-1390	65	24	all	all	DET
cuesj-1390	65	25	thresholds	threshold	NOUN
cuesj-1390	65	26	of	of	ADP
cuesj-1390	65	27	possible	possible	ADJ
cuesj-1390	65	28	decisions	decision	NOUN
cuesj-1390	65	29	.	.	PUNCT
cuesj-1390	66	1	these	these	DET
cuesj-1390	66	2	metrics	metric	NOUN
cuesj-1390	66	3	provide	provide	VERB
cuesj-1390	66	4	a	a	DET
cuesj-1390	66	5	comprehensive	comprehensive	ADJ
cuesj-1390	66	6	evaluation	evaluation	NOUN
cuesj-1390	66	7	of	of	ADP
cuesj-1390	66	8	the	the	DET
cuesj-1390	66	9	svm	svm	ADJ
cuesj-1390	66	10	models	model	NOUN
cuesj-1390	66	11	,	,	PUNCT
cuesj-1390	66	12	with	with	ADP
cuesj-1390	66	13	a	a	DET
cuesj-1390	66	14	focus	focus	NOUN
cuesj-1390	66	15	on	on	ADP
cuesj-1390	66	16	recall	recall	NOUN
cuesj-1390	66	17	and	and	CCONJ
cuesj-1390	66	18	auc	auc	NOUN
cuesj-1390	66	19	being	be	AUX
cuesj-1390	66	20	especially	especially	ADV
cuesj-1390	66	21	significant	significant	ADJ
cuesj-1390	66	22	in	in	ADP
cuesj-1390	66	23	the	the	DET
cuesj-1390	66	24	medical	medical	ADJ
cuesj-1390	66	25	domain	domain	NOUN
cuesj-1390	66	26	.	.	PUNCT
cuesj-1390	67	1	linear	linear	ADJ
cuesj-1390	67	2	kernel	kernel	PROPN
cuesj-1390	67	3	table	table	NOUN
cuesj-1390	67	4	2	2	NUM
cuesj-1390	67	5	presents	present	VERB
cuesj-1390	67	6	a	a	DET
cuesj-1390	67	7	summary	summary	NOUN
cuesj-1390	67	8	of	of	ADP
cuesj-1390	67	9	the	the	DET
cuesj-1390	67	10	test	test	NOUN
cuesj-1390	67	11	results	result	NOUN
cuesj-1390	67	12	using	use	VERB
cuesj-1390	67	13	the	the	DET
cuesj-1390	67	14	classification	classification	NOUN
cuesj-1390	67	15	model	model	NOUN
cuesj-1390	67	16	.	.	PUNCT
cuesj-1390	68	1	out	out	ADP
cuesj-1390	68	2	of	of	ADP
cuesj-1390	68	3	the	the	DET
cuesj-1390	68	4	(	(	PUNCT
cuesj-1390	68	5	212	212	NUM
cuesj-1390	68	6	)	)	PUNCT
cuesj-1390	68	7	positives	positive	NOUN
cuesj-1390	68	8	,	,	PUNCT
cuesj-1390	68	9	(	(	PUNCT
cuesj-1390	68	10	203	203	NUM
cuesj-1390	68	11	)	)	PUNCT
cuesj-1390	68	12	were	be	AUX
cuesj-1390	68	13	,	,	PUNCT
cuesj-1390	68	14	in	in	ADP
cuesj-1390	68	15	fact	fact	NOUN
cuesj-1390	68	16	,	,	PUNCT
cuesj-1390	68	17	positive	positive	ADJ
cuesj-1390	68	18	,	,	PUNCT
cuesj-1390	68	19	while	while	SCONJ
cuesj-1390	68	20	(	(	PUNCT
cuesj-1390	68	21	9	9	X
cuesj-1390	68	22	)	)	PUNCT
cuesj-1390	68	23	were	be	AUX
cuesj-1390	68	24	false	false	ADJ
cuesj-1390	68	25	negatives	negative	NOUN
cuesj-1390	68	26	;	;	PUNCT
cuesj-1390	68	27	likewise	likewise	ADV
cuesj-1390	68	28	,	,	PUNCT
cuesj-1390	68	29	out	out	ADP
cuesj-1390	68	30	of	of	ADP
cuesj-1390	68	31	(	(	PUNCT
cuesj-1390	68	32	357	357	NUM
cuesj-1390	68	33	)	)	PUNCT
cuesj-1390	68	34	negatives	negative	NOUN
cuesj-1390	68	35	,	,	PUNCT
cuesj-1390	68	36	(	(	PUNCT
cuesj-1390	68	37	345	345	NUM
cuesj-1390	68	38	)	)	PUNCT
cuesj-1390	68	39	were	be	AUX
cuesj-1390	68	40	true	true	ADJ
cuesj-1390	68	41	negatives	negative	NOUN
cuesj-1390	68	42	,	,	PUNCT
cuesj-1390	68	43	and	and	CCONJ
cuesj-1390	68	44	the	the	DET
cuesj-1390	68	45	remaining	remain	VERB
cuesj-1390	68	46	(	(	PUNCT
cuesj-1390	68	47	12	12	NUM
cuesj-1390	68	48	)	)	PUNCT
cuesj-1390	68	49	were	be	AUX
cuesj-1390	68	50	false	false	ADJ
cuesj-1390	68	51	positives	positive	NOUN
cuesj-1390	68	52	.	.	PUNCT
cuesj-1390	69	1	further	further	ADJ
cuesj-1390	69	2	computation	computation	NOUN
cuesj-1390	69	3	on	on	ADP
cuesj-1390	69	4	the	the	DET
cuesj-1390	69	5	accuracy	accuracy	NOUN
cuesj-1390	69	6	,	,	PUNCT
cuesj-1390	69	7	sensitivity	sensitivity	NOUN
cuesj-1390	69	8	,	,	PUNCT
cuesj-1390	69	9	and	and	CCONJ
cuesj-1390	69	10	specificity	specificity	NOUN
cuesj-1390	69	11	evaluation	evaluation	NOUN
cuesj-1390	69	12	measures	measure	NOUN
cuesj-1390	69	13	could	could	AUX
cuesj-1390	69	14	be	be	AUX
cuesj-1390	69	15	done	do	VERB
cuesj-1390	69	16	as	as	ADP
cuesj-1390	69	17	per	per	ADP
cuesj-1390	69	18	the	the	DET
cuesj-1390	69	19	following	following	NOUN
cuesj-1390	69	20	:	:	PUNCT
cuesj-1390	69	21	accuracy	accuracy	NOUN
cuesj-1390	69	22	�	�	PROPN
cuesj-1390	69	23	�	�	PROPN
cuesj-1390	69	24	�	�	PROPN
cuesj-1390	69	25	�	�	PROPN
cuesj-1390	69	26	�	�	PROPN
cuesj-1390	69	27	�	�	PROPN
cuesj-1390	69	28	203	203	NUM
cuesj-1390	69	29	345	345	NUM
cuesj-1390	69	30	203	203	NUM
cuesj-1390	69	31	345	345	NUM
cuesj-1390	69	32	9	9	NUM
cuesj-1390	69	33	12	12	NUM
cuesj-1390	69	34	0	0	NUM
cuesj-1390	69	35	9630	9630	NUM
cuesj-1390	69	36	.	.	PUNCT
cuesj-1390	70	1	�	�	PROPN
cuesj-1390	70	2	table	table	NOUN
cuesj-1390	70	3	2	2	NUM
cuesj-1390	70	4	:	:	PUNCT
cuesj-1390	70	5	confusion	confusion	NOUN
cuesj-1390	70	6	matrix	matrix	NOUN
cuesj-1390	70	7	for	for	ADP
cuesj-1390	70	8	linear	linear	PROPN
cuesj-1390	70	9	kernel	kernel	PROPN
cuesj-1390	70	10	model	model	NOUN
cuesj-1390	70	11	predicted\actual	predicted\actual	ADJ
cuesj-1390	70	12	positive	positive	ADJ
cuesj-1390	70	13	negative	negative	ADJ
cuesj-1390	70	14	positive	positive	ADJ
cuesj-1390	70	15	203	203	NUM
cuesj-1390	70	16	9	9	NUM
cuesj-1390	70	17	negative	negative	ADJ
cuesj-1390	70	18	12	12	NUM
cuesj-1390	70	19	345	345	NUM
cuesj-1390	70	20	table	table	NOUN
cuesj-1390	70	21	1	1	NUM
cuesj-1390	70	22	:	:	PUNCT
cuesj-1390	70	23	confusion	confusion	NOUN
cuesj-1390	70	24	matrix	matrix	NOUN
cuesj-1390	70	25	for	for	ADP
cuesj-1390	70	26	binary	binary	ADJ
cuesj-1390	70	27	classes	class	NOUN
cuesj-1390	70	28	(	(	PUNCT
cuesj-1390	70	29	negative	negative	ADJ
cuesj-1390	70	30	and	and	CCONJ
cuesj-1390	70	31	positive	positive	ADJ
cuesj-1390	70	32	)	)	PUNCT
cuesj-1390	70	33	predicted\actual	predicted\actual	ADJ
cuesj-1390	70	34	positive	positive	ADJ
cuesj-1390	70	35	negative	negative	ADJ
cuesj-1390	70	36	positive	positive	ADJ
cuesj-1390	70	37	true	true	ADJ
cuesj-1390	70	38	positive	positive	ADJ
cuesj-1390	70	39	(	(	PUNCT
cuesj-1390	70	40	tp	tp	NOUN
cuesj-1390	70	41	)	)	PUNCT
cuesj-1390	70	42	false	false	ADJ
cuesj-1390	70	43	positive	positive	ADJ
cuesj-1390	70	44	(	(	PUNCT
cuesj-1390	70	45	fp	fp	NOUN
cuesj-1390	70	46	)	)	PUNCT
cuesj-1390	70	47	negative	negative	ADJ
cuesj-1390	70	48	false	false	ADJ
cuesj-1390	70	49	negative	negative	ADJ
cuesj-1390	70	50	(	(	PUNCT
cuesj-1390	70	51	fn	fn	NOUN
cuesj-1390	70	52	)	)	PUNCT
cuesj-1390	70	53	true	true	ADJ
cuesj-1390	70	54	negative	negative	ADJ
cuesj-1390	70	55	(	(	PUNCT
cuesj-1390	70	56	tn	tn	PROPN
cuesj-1390	70	57	)	)	PUNCT
cuesj-1390	70	58	salih	salih	PROPN
cuesj-1390	70	59	and	and	CCONJ
cuesj-1390	70	60	mahmood	mahmood	PROPN
cuesj-1390	70	61	:	:	PUNCT
cuesj-1390	70	62	svm	svm	PROPN
cuesj-1390	70	63	kernel	kernel	PROPN
cuesj-1390	70	64	functions	function	NOUN
cuesj-1390	70	65	for	for	ADP
cuesj-1390	70	66	breast	breast	NOUN
cuesj-1390	70	67	cancer	cancer	NOUN
cuesj-1390	70	68	classification	classification	NOUN
cuesj-1390	70	69	44	44	NUM
cuesj-1390	70	70	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	70	71	cuesj	cuesj	NOUN
cuesj-1390	70	72	2025	2025	NUM
cuesj-1390	70	73	,	,	PUNCT
cuesj-1390	70	74	9	9	NUM
cuesj-1390	70	75	(	(	PUNCT
cuesj-1390	70	76	1	1	NUM
cuesj-1390	70	77	):	):	PUNCT
cuesj-1390	70	78	41	41	NUM
cuesj-1390	70	79	-	-	SYM
cuesj-1390	70	80	46	46	NUM
cuesj-1390	70	81	sensitivity	sensitivity	NOUN
cuesj-1390	70	82	�	�	PROPN
cuesj-1390	70	83	recall	recall	PROPN
cuesj-1390	70	84	�	�	PROPN
cuesj-1390	70	85	�	�	PROPN
cuesj-1390	70	86	�	�	PROPN
cuesj-1390	70	87	�	�	PROPN
cuesj-1390	70	88	�	�	PROPN
cuesj-1390	70	89	203	203	NUM
cuesj-1390	70	90	203	203	NUM
cuesj-1390	70	91	9	9	NUM
cuesj-1390	70	92	0	0	NUM
cuesj-1390	70	93	9575	9575	NUM
cuesj-1390	70	94	.	.	PUNCT
cuesj-1390	71	1	�	�	PROPN
cuesj-1390	71	2	specificity	specificity	NOUN
cuesj-1390	71	3	�	�	PROPN
cuesj-1390	71	4	true	true	ADJ
cuesj-1390	71	5	nagtive	nagtive	ADJ
cuesj-1390	71	6	rate	rate	NOUN
cuesj-1390	71	7	�	�	PROPN
cuesj-1390	71	8	�	�	PROPN
cuesj-1390	71	9	�	�	PROPN
cuesj-1390	71	10	�	�	PROPN
cuesj-1390	71	11	�	�	PROPN
cuesj-1390	71	12	345	345	NUM
cuesj-1390	71	13	345	345	NUM
cuesj-1390	71	14	12	12	NUM
cuesj-1390	71	15	0	0	NUM
cuesj-1390	71	16	9663	9663	NUM
cuesj-1390	71	17	.	.	PUNCT
cuesj-1390	72	1	�	�	PROPN
cuesj-1390	72	2	polynomial	polynomial	ADJ
cuesj-1390	72	3	kernel	kernel	PROPN
cuesj-1390	72	4	table	table	PROPN
cuesj-1390	72	5	3	3	NUM
cuesj-1390	72	6	shows	show	VERB
cuesj-1390	72	7	that	that	SCONJ
cuesj-1390	72	8	out	out	ADP
cuesj-1390	72	9	of	of	ADP
cuesj-1390	72	10	(	(	PUNCT
cuesj-1390	72	11	312	312	NUM
cuesj-1390	72	12	)	)	PUNCT
cuesj-1390	72	13	positive	positive	ADJ
cuesj-1390	72	14	class	class	NOUN
cuesj-1390	72	15	data	data	NOUN
cuesj-1390	72	16	points	point	NOUN
cuesj-1390	72	17	,	,	PUNCT
cuesj-1390	72	18	(	(	PUNCT
cuesj-1390	72	19	202	202	NUM
cuesj-1390	72	20	)	)	PUNCT
cuesj-1390	72	21	were	be	AUX
cuesj-1390	72	22	correctly	correctly	ADV
cuesj-1390	72	23	identified	identify	VERB
cuesj-1390	72	24	as	as	ADP
cuesj-1390	72	25	true	true	ADJ
cuesj-1390	72	26	positives	positive	NOUN
cuesj-1390	72	27	and	and	CCONJ
cuesj-1390	72	28	(	(	PUNCT
cuesj-1390	72	29	10	10	NUM
cuesj-1390	72	30	)	)	PUNCT
cuesj-1390	72	31	were	be	AUX
cuesj-1390	72	32	false	false	ADJ
cuesj-1390	72	33	negatives	negative	NOUN
cuesj-1390	72	34	.	.	PUNCT
cuesj-1390	73	1	of	of	ADP
cuesj-1390	73	2	the	the	DET
cuesj-1390	73	3	(	(	PUNCT
cuesj-1390	73	4	357	357	NUM
cuesj-1390	73	5	)	)	PUNCT
cuesj-1390	73	6	negative	negative	ADJ
cuesj-1390	73	7	class	class	NOUN
cuesj-1390	73	8	data	datum	NOUN
cuesj-1390	73	9	,	,	PUNCT
cuesj-1390	73	10	(	(	PUNCT
cuesj-1390	73	11	349	349	NUM
cuesj-1390	73	12	)	)	PUNCT
cuesj-1390	73	13	were	be	AUX
cuesj-1390	73	14	true	true	ADJ
cuesj-1390	73	15	negatives	negative	NOUN
cuesj-1390	73	16	,	,	PUNCT
cuesj-1390	73	17	while	while	SCONJ
cuesj-1390	73	18	(	(	PUNCT
cuesj-1390	73	19	8)	8)	NUM
cuesj-1390	73	20	were	be	AUX
cuesj-1390	73	21	false	false	ADJ
cuesj-1390	73	22	positives	positive	NOUN
cuesj-1390	73	23	.	.	PUNCT
cuesj-1390	74	1	the	the	DET
cuesj-1390	74	2	calculated	calculate	VERB
cuesj-1390	74	3	values	value	NOUN
cuesj-1390	74	4	for	for	ADP
cuesj-1390	74	5	metrics	metric	NOUN
cuesj-1390	74	6	are	be	AUX
cuesj-1390	74	7	as	as	SCONJ
cuesj-1390	74	8	follows	follow	VERB
cuesj-1390	74	9	:	:	PUNCT
cuesj-1390	74	10	accuracy	accuracy	NOUN
cuesj-1390	74	11	�	�	PROPN
cuesj-1390	74	12	�	�	PROPN
cuesj-1390	74	13	�	�	PROPN
cuesj-1390	74	14	�	�	PROPN
cuesj-1390	74	15	�	�	PROPN
cuesj-1390	74	16	�	�	PROPN
cuesj-1390	75	1	202	202	NUM
cuesj-1390	75	2	349	349	NUM
cuesj-1390	75	3	202	202	NUM
cuesj-1390	75	4	349	349	NUM
cuesj-1390	75	5	10	10	NUM
cuesj-1390	75	6	8	8	NUM
cuesj-1390	75	7	0	0	NUM
cuesj-1390	75	8	9683	9683	NUM
cuesj-1390	75	9	�	�	PROPN
cuesj-1390	75	10	�	�	PROPN
cuesj-1390	75	11	.	.	PUNCT
cuesj-1390	75	12	sensitivity	sensitivity	PROPN
cuesj-1390	75	13	�	�	PROPN
cuesj-1390	75	14	recall	recall	PROPN
cuesj-1390	75	15	�	�	PROPN
cuesj-1390	75	16	�	�	PROPN
cuesj-1390	75	17	�	�	PROPN
cuesj-1390	75	18	�	�	PROPN
cuesj-1390	75	19	�	�	PROPN
cuesj-1390	75	20	202	202	NUM
cuesj-1390	75	21	202	202	NUM
cuesj-1390	75	22	10	10	NUM
cuesj-1390	75	23	0	0	NUM
cuesj-1390	75	24	9528	9528	NUM
cuesj-1390	75	25	�	�	NOUN
cuesj-1390	75	26	.	.	PUNCT
cuesj-1390	76	1	specificity	specificity	PROPN
cuesj-1390	76	2	�	�	PROPN
cuesj-1390	76	3	true	true	ADJ
cuesj-1390	76	4	nagtive	nagtive	ADJ
cuesj-1390	76	5	rate	rate	NOUN
cuesj-1390	76	6	�	�	PROPN
cuesj-1390	76	7	�	�	PROPN
cuesj-1390	76	8	�	�	PROPN
cuesj-1390	76	9	�	�	PROPN
cuesj-1390	76	10	�	�	PROPN
cuesj-1390	76	11	349	349	NUM
cuesj-1390	76	12	349	349	NUM
cuesj-1390	76	13	8	8	NUM
cuesj-1390	76	14	0	0	NUM
cuesj-1390	76	15	9775	9775	NUM
cuesj-1390	76	16	�	�	PROPN
cuesj-1390	76	17	.	.	PUNCT
cuesj-1390	77	1	rbf	rbf	PROPN
cuesj-1390	77	2	kernel	kernel	PROPN
cuesj-1390	77	3	table	table	PROPN
cuesj-1390	77	4	4	4	NUM
cuesj-1390	77	5	shows	show	VERB
cuesj-1390	77	6	that	that	SCONJ
cuesj-1390	77	7	out	out	ADP
cuesj-1390	77	8	of	of	ADP
cuesj-1390	77	9	(	(	PUNCT
cuesj-1390	77	10	212	212	NUM
cuesj-1390	77	11	)	)	PUNCT
cuesj-1390	77	12	positive	positive	ADJ
cuesj-1390	77	13	classes	class	NOUN
cuesj-1390	77	14	,	,	PUNCT
cuesj-1390	77	15	(	(	PUNCT
cuesj-1390	77	16	192	192	NUM
cuesj-1390	77	17	)	)	PUNCT
cuesj-1390	77	18	of	of	ADP
cuesj-1390	77	19	them	they	PRON
cuesj-1390	77	20	were	be	AUX
cuesj-1390	77	21	predicted	predict	VERB
cuesj-1390	77	22	in	in	ADP
cuesj-1390	77	23	the	the	DET
cuesj-1390	77	24	positive	positive	ADJ
cuesj-1390	77	25	class	class	NOUN
cuesj-1390	77	26	,	,	PUNCT
cuesj-1390	77	27	which	which	PRON
cuesj-1390	77	28	is	be	AUX
cuesj-1390	77	29	called	call	VERB
cuesj-1390	77	30	true	true	ADJ
cuesj-1390	77	31	positive	positive	ADJ
cuesj-1390	77	32	,	,	PUNCT
cuesj-1390	77	33	and	and	CCONJ
cuesj-1390	77	34	the	the	DET
cuesj-1390	77	35	left	left	NOUN
cuesj-1390	77	36	of	of	ADP
cuesj-1390	77	37	them	they	PRON
cuesj-1390	77	38	(	(	PUNCT
cuesj-1390	77	39	20	20	NUM
cuesj-1390	77	40	)	)	PUNCT
cuesj-1390	77	41	of	of	ADP
cuesj-1390	77	42	the	the	DET
cuesj-1390	77	43	data	datum	NOUN
cuesj-1390	77	44	got	get	VERB
cuesj-1390	77	45	negative	negative	ADJ
cuesj-1390	77	46	that	that	PRON
cuesj-1390	77	47	called	call	VERB
cuesj-1390	77	48	false	false	ADJ
cuesj-1390	77	49	negative	negative	NOUN
cuesj-1390	77	50	.	.	PUNCT
cuesj-1390	78	1	furthermore	furthermore	ADV
cuesj-1390	78	2	,	,	PUNCT
cuesj-1390	78	3	from	from	ADP
cuesj-1390	78	4	(	(	PUNCT
cuesj-1390	78	5	357	357	NUM
cuesj-1390	78	6	)	)	PUNCT
cuesj-1390	78	7	negative	negative	ADJ
cuesj-1390	78	8	class	class	NOUN
cuesj-1390	78	9	test	test	NOUN
cuesj-1390	78	10	data	datum	NOUN
cuesj-1390	78	11	,	,	PUNCT
cuesj-1390	78	12	true	true	ADJ
cuesj-1390	78	13	negative	negative	ADJ
cuesj-1390	78	14	is	be	AUX
cuesj-1390	78	15	(	(	PUNCT
cuesj-1390	78	16	346	346	NUM
cuesj-1390	78	17	)	)	PUNCT
cuesj-1390	78	18	,	,	PUNCT
cuesj-1390	78	19	and	and	CCONJ
cuesj-1390	78	20	false	false	ADJ
cuesj-1390	78	21	positive	positive	ADJ
cuesj-1390	78	22	is	be	AUX
cuesj-1390	78	23	(	(	PUNCT
cuesj-1390	78	24	11	11	NUM
cuesj-1390	78	25	)	)	PUNCT
cuesj-1390	78	26	.	.	PUNCT
cuesj-1390	79	1	the	the	DET
cuesj-1390	79	2	following	follow	VERB
cuesj-1390	79	3	are	be	AUX
cuesj-1390	79	4	the	the	DET
cuesj-1390	79	5	performance	performance	NOUN
cuesj-1390	79	6	metrics	metric	NOUN
cuesj-1390	79	7	calculated	calculate	VERB
cuesj-1390	79	8	in	in	ADP
cuesj-1390	79	9	this	this	DET
cuesj-1390	79	10	regard	regard	NOUN
cuesj-1390	79	11	,	,	PUNCT
cuesj-1390	79	12	which	which	PRON
cuesj-1390	79	13	include	include	VERB
cuesj-1390	79	14	accuracy	accuracy	NOUN
cuesj-1390	79	15	,	,	PUNCT
cuesj-1390	79	16	sensitivity	sensitivity	NOUN
cuesj-1390	79	17	,	,	PUNCT
cuesj-1390	79	18	and	and	CCONJ
cuesj-1390	79	19	specificity	specificity	NOUN
cuesj-1390	79	20	.	.	PUNCT
cuesj-1390	80	1	accuracy	accuracy	NOUN
cuesj-1390	80	2	�	�	PROPN
cuesj-1390	80	3	�	�	PROPN
cuesj-1390	80	4	�	�	PROPN
cuesj-1390	80	5	�	�	PROPN
cuesj-1390	80	6	�	�	PROPN
cuesj-1390	80	7	�	�	PROPN
cuesj-1390	80	8	192	192	NUM
cuesj-1390	80	9	346	346	NUM
cuesj-1390	80	10	192	192	NUM
cuesj-1390	80	11	20	20	NUM
cuesj-1390	80	12	11	11	NUM
cuesj-1390	80	13	346	346	NUM
cuesj-1390	80	14	0	0	NUM
cuesj-1390	80	15	9455	9455	NUM
cuesj-1390	80	16	.	.	PUNCT
cuesj-1390	81	1	�	�	PROPN
cuesj-1390	81	2	sensitivity	sensitivity	PROPN
cuesj-1390	81	3	�	�	PROPN
cuesj-1390	81	4	recall	recall	PROPN
cuesj-1390	81	5	�	�	PROPN
cuesj-1390	81	6	�	�	PROPN
cuesj-1390	81	7	�	�	PROPN
cuesj-1390	81	8	�	�	PROPN
cuesj-1390	81	9	�	�	PROPN
cuesj-1390	81	10	192	192	NUM
cuesj-1390	81	11	192	192	NUM
cuesj-1390	81	12	20	20	NUM
cuesj-1390	81	13	0	0	NUM
cuesj-1390	81	14	9056	9056	NUM
cuesj-1390	81	15	.	.	PUNCT
cuesj-1390	82	1	�	�	PROPN
cuesj-1390	82	2	specificity	specificity	NOUN
cuesj-1390	82	3	�	�	PROPN
cuesj-1390	82	4	true	true	ADJ
cuesj-1390	82	5	nagtive	nagtive	ADJ
cuesj-1390	82	6	rate	rate	NOUN
cuesj-1390	82	7	�	�	PROPN
cuesj-1390	82	8	�	�	PROPN
cuesj-1390	82	9	�	�	PROPN
cuesj-1390	82	10	�	�	PROPN
cuesj-1390	82	11	�	�	PROPN
cuesj-1390	82	12	346	346	NUM
cuesj-1390	82	13	346	346	NUM
cuesj-1390	82	14	11	11	NUM
cuesj-1390	82	15	0	0	NUM
cuesj-1390	82	16	9691	9691	NUM
cuesj-1390	82	17	.	.	PUNCT
cuesj-1390	83	1	�	�	PROPN
cuesj-1390	83	2	table	table	NOUN
cuesj-1390	83	3	5	5	NUM
cuesj-1390	83	4	presents	present	VERB
cuesj-1390	83	5	a	a	DET
cuesj-1390	83	6	direct	direct	ADJ
cuesj-1390	83	7	comparison	comparison	NOUN
cuesj-1390	83	8	of	of	ADP
cuesj-1390	83	9	the	the	DET
cuesj-1390	83	10	three	three	NUM
cuesj-1390	83	11	svm	svm	ADJ
cuesj-1390	83	12	kernel	kernel	NOUN
cuesj-1390	83	13	models	model	NOUN
cuesj-1390	83	14	using	use	VERB
cuesj-1390	83	15	key	key	ADJ
cuesj-1390	83	16	performance	performance	NOUN
cuesj-1390	83	17	metrics	metric	NOUN
cuesj-1390	83	18	.	.	PUNCT
cuesj-1390	84	1	the	the	DET
cuesj-1390	84	2	polynomial	polynomial	ADJ
cuesj-1390	84	3	kernel	kernel	PROPN
cuesj-1390	84	4	model	model	NOUN
cuesj-1390	84	5	demonstrates	demonstrate	VERB
cuesj-1390	84	6	superior	superior	ADJ
cuesj-1390	84	7	overall	overall	ADJ
cuesj-1390	84	8	performance	performance	NOUN
cuesj-1390	84	9	with	with	ADP
cuesj-1390	84	10	the	the	DET
cuesj-1390	84	11	highest	high	ADJ
cuesj-1390	84	12	accuracy	accuracy	NOUN
cuesj-1390	84	13	at	at	ADP
cuesj-1390	84	14	0.9684	0.9684	NUM
cuesj-1390	84	15	,	,	PUNCT
cuesj-1390	84	16	precision	precision	NOUN
cuesj-1390	84	17	at	at	ADP
cuesj-1390	84	18	0.9619	0.9619	NUM
cuesj-1390	84	19	,	,	PUNCT
cuesj-1390	84	20	and	and	CCONJ
cuesj-1390	84	21	specificity	specificity	NOUN
cuesj-1390	84	22	at	at	ADP
cuesj-1390	84	23	0.9776	0.9776	NUM
cuesj-1390	84	24	.	.	PUNCT
cuesj-1390	85	1	while	while	SCONJ
cuesj-1390	85	2	the	the	DET
cuesj-1390	85	3	linear	linear	ADJ
cuesj-1390	85	4	kernel	kernel	PROPN
cuesj-1390	85	5	achieves	achieve	VERB
cuesj-1390	85	6	a	a	DET
cuesj-1390	85	7	slightly	slightly	ADV
cuesj-1390	85	8	higher	high	ADJ
cuesj-1390	85	9	recall	recall	NOUN
cuesj-1390	85	10	of	of	ADP
cuesj-1390	85	11	0.9575	0.9575	NUM
cuesj-1390	85	12	compared	compare	VERB
cuesj-1390	85	13	to	to	ADP
cuesj-1390	85	14	the	the	DET
cuesj-1390	85	15	polynomial	polynomial	NOUN
cuesj-1390	85	16	’s	’s	PART
cuesj-1390	85	17	0.9528	0.9528	NUM
cuesj-1390	85	18	,	,	PUNCT
cuesj-1390	85	19	the	the	DET
cuesj-1390	85	20	latter	latter	ADJ
cuesj-1390	85	21	demonstrates	demonstrate	VERB
cuesj-1390	85	22	a	a	DET
cuesj-1390	85	23	more	more	ADV
cuesj-1390	85	24	balanced	balanced	ADJ
cuesj-1390	85	25	performance	performance	NOUN
cuesj-1390	85	26	.	.	PUNCT
cuesj-1390	86	1	the	the	DET
cuesj-1390	86	2	polynomial	polynomial	ADJ
cuesj-1390	86	3	model	model	NOUN
cuesj-1390	86	4	also	also	ADV
cuesj-1390	86	5	has	have	VERB
cuesj-1390	86	6	the	the	DET
cuesj-1390	86	7	highest	high	ADJ
cuesj-1390	86	8	f1	f1	NOUN
cuesj-1390	86	9	-	-	PUNCT
cuesj-1390	86	10	score	score	NOUN
cuesj-1390	86	11	of	of	ADP
cuesj-1390	86	12	0.9573	0.9573	NUM
cuesj-1390	86	13	,	,	PUNCT
cuesj-1390	86	14	a	a	DET
cuesj-1390	86	15	better	well	ADJ
cuesj-1390	86	16	way	way	NOUN
cuesj-1390	86	17	of	of	ADP
cuesj-1390	86	18	measuring	measure	VERB
cuesj-1390	86	19	the	the	DET
cuesj-1390	86	20	balance	balance	NOUN
cuesj-1390	86	21	between	between	ADP
cuesj-1390	86	22	precision	precision	NOUN
cuesj-1390	86	23	and	and	CCONJ
cuesj-1390	86	24	recall	recall	NOUN
cuesj-1390	86	25	.	.	PUNCT
cuesj-1390	87	1	the	the	DET
cuesj-1390	87	2	rbf	rbf	PROPN
cuesj-1390	87	3	kernel	kernel	PROPN
cuesj-1390	87	4	lags	lag	VERB
cuesj-1390	87	5	in	in	ADP
cuesj-1390	87	6	most	most	ADJ
cuesj-1390	87	7	metrics	metric	NOUN
cuesj-1390	87	8	,	,	PUNCT
cuesj-1390	87	9	including	include	VERB
cuesj-1390	87	10	the	the	DET
cuesj-1390	87	11	lowest	low	ADJ
cuesj-1390	87	12	precision	precision	NOUN
cuesj-1390	87	13	at	at	ADP
cuesj-1390	87	14	0.9458	0.9458	NUM
cuesj-1390	87	15	,	,	PUNCT
cuesj-1390	87	16	recall	recall	VERB
cuesj-1390	87	17	at	at	ADP
cuesj-1390	87	18	0.9057	0.9057	NUM
cuesj-1390	87	19	,	,	PUNCT
cuesj-1390	87	20	and	and	CCONJ
cuesj-1390	87	21	significantly	significantly	ADV
cuesj-1390	87	22	lower	low	ADJ
cuesj-1390	87	23	f	f	NOUN
cuesj-1390	87	24	-	-	NOUN
cuesj-1390	87	25	scores	score	NOUN
cuesj-1390	87	26	,	,	PUNCT
cuesj-1390	87	27	where	where	SCONJ
cuesj-1390	87	28	the	the	DET
cuesj-1390	87	29	highest	high	ADJ
cuesj-1390	87	30	score	score	NOUN
cuesj-1390	87	31	it	it	PRON
cuesj-1390	87	32	achieves	achieve	VERB
cuesj-1390	87	33	is	be	AUX
cuesj-1390	87	34	the	the	DET
cuesj-1390	87	35	f1	f1	ADJ
cuesj-1390	87	36	score	score	NOUN
cuesj-1390	87	37	of	of	ADP
cuesj-1390	87	38	0.9253	0.9253	NUM
cuesj-1390	87	39	.	.	PUNCT
cuesj-1390	88	1	crucially	crucially	ADV
cuesj-1390	88	2	,	,	PUNCT
cuesj-1390	88	3	the	the	DET
cuesj-1390	88	4	polynomial	polynomial	ADJ
cuesj-1390	88	5	kernel	kernel	PROPN
cuesj-1390	88	6	model	model	NOUN
cuesj-1390	88	7	achieves	achieve	VERB
cuesj-1390	88	8	the	the	DET
cuesj-1390	88	9	highest	high	ADJ
cuesj-1390	88	10	auc	auc	NOUN
cuesj-1390	88	11	at	at	ADP
cuesj-1390	88	12	0.9966	0.9966	NUM
cuesj-1390	88	13	,	,	PUNCT
cuesj-1390	88	14	followed	follow	VERB
cuesj-1390	88	15	by	by	ADP
cuesj-1390	88	16	linear	linear	NOUN
cuesj-1390	88	17	with	with	ADP
cuesj-1390	88	18	0.9955	0.9955	NUM
cuesj-1390	88	19	and	and	CCONJ
cuesj-1390	88	20	rbf	rbf	PROPN
cuesj-1390	88	21	with	with	ADP
cuesj-1390	88	22	0.9818	0.9818	NUM
cuesj-1390	88	23	,	,	PUNCT
cuesj-1390	88	24	indicating	indicate	VERB
cuesj-1390	88	25	its	its	PRON
cuesj-1390	88	26	superior	superior	ADJ
cuesj-1390	88	27	capability	capability	NOUN
cuesj-1390	88	28	in	in	ADP
cuesj-1390	88	29	distinguishing	distinguish	VERB
cuesj-1390	88	30	between	between	ADP
cuesj-1390	88	31	malignant	malignant	ADJ
cuesj-1390	88	32	and	and	CCONJ
cuesj-1390	88	33	benign	benign	ADJ
cuesj-1390	88	34	cases	case	NOUN
cuesj-1390	88	35	overall	overall	ADJ
cuesj-1390	88	36	,	,	PUNCT
cuesj-1390	88	37	solidifying	solidify	VERB
cuesj-1390	88	38	its	its	PRON
cuesj-1390	88	39	position	position	NOUN
cuesj-1390	88	40	as	as	ADP
cuesj-1390	88	41	the	the	DET
cuesj-1390	88	42	best	well	ADV
cuesj-1390	88	43	-	-	PUNCT
cuesj-1390	88	44	performing	perform	VERB
cuesj-1390	88	45	model	model	NOUN
cuesj-1390	88	46	among	among	ADP
cuesj-1390	88	47	the	the	DET
cuesj-1390	88	48	three	three	NUM
cuesj-1390	88	49	in	in	ADP
cuesj-1390	88	50	the	the	DET
cuesj-1390	88	51	table	table	NOUN
cuesj-1390	88	52	.	.	PUNCT
cuesj-1390	89	1	as	as	SCONJ
cuesj-1390	89	2	shown	show	VERB
cuesj-1390	89	3	in	in	ADP
cuesj-1390	89	4	the	the	DET
cuesj-1390	89	5	graphs	graph	NOUN
cuesj-1390	89	6	from	from	ADP
cuesj-1390	89	7	figure	figure	NOUN
cuesj-1390	89	8	1	1	NUM
cuesj-1390	89	9	,	,	PUNCT
cuesj-1390	89	10	the	the	DET
cuesj-1390	89	11	polynomial	polynomial	ADJ
cuesj-1390	89	12	kernel	kernel	PROPN
cuesj-1390	89	13	model	model	PROPN
cuesj-1390	89	14	displays	display	VERB
cuesj-1390	89	15	a	a	DET
cuesj-1390	89	16	receiver	receiver	ADV
cuesj-1390	89	17	operating	operate	VERB
cuesj-1390	89	18	characteristic	characteristic	ADJ
cuesj-1390	89	19	curve	curve	NOUN
cuesj-1390	89	20	with	with	ADP
cuesj-1390	89	21	an	an	DET
cuesj-1390	89	22	auc	auc	NOUN
cuesj-1390	89	23	of	of	ADP
cuesj-1390	89	24	0.9966	0.9966	NUM
cuesj-1390	89	25	,	,	PUNCT
cuesj-1390	89	26	the	the	DET
cuesj-1390	89	27	highest	high	ADJ
cuesj-1390	89	28	among	among	ADP
cuesj-1390	89	29	the	the	DET
cuesj-1390	89	30	three	three	NUM
cuesj-1390	89	31	models	model	NOUN
cuesj-1390	89	32	,	,	PUNCT
cuesj-1390	89	33	indicating	indicate	VERB
cuesj-1390	89	34	superior	superior	ADJ
cuesj-1390	89	35	discriminatory	discriminatory	ADJ
cuesj-1390	89	36	ability	ability	NOUN
cuesj-1390	89	37	.	.	PUNCT
cuesj-1390	90	1	the	the	DET
cuesj-1390	90	2	polynomial	polynomial	ADJ
cuesj-1390	90	3	kernel	kernel	PROPN
cuesj-1390	90	4	’s	’s	PART
cuesj-1390	90	5	curve	curve	NOUN
cuesj-1390	90	6	is	be	AUX
cuesj-1390	90	7	closer	close	ADJ
cuesj-1390	90	8	to	to	ADP
cuesj-1390	90	9	the	the	DET
cuesj-1390	90	10	ideal	ideal	ADJ
cuesj-1390	90	11	top	top	ADJ
cuesj-1390	90	12	left	left	ADJ
cuesj-1390	90	13	corner	corner	NOUN
cuesj-1390	90	14	compared	compare	VERB
cuesj-1390	90	15	to	to	ADP
cuesj-1390	90	16	the	the	DET
cuesj-1390	90	17	curves	curve	NOUN
cuesj-1390	90	18	of	of	ADP
cuesj-1390	90	19	the	the	DET
cuesj-1390	90	20	other	other	ADJ
cuesj-1390	90	21	two	two	NUM
cuesj-1390	90	22	models	model	NOUN
cuesj-1390	90	23	.	.	PUNCT
cuesj-1390	91	1	next	next	ADV
cuesj-1390	91	2	,	,	PUNCT
cuesj-1390	91	3	the	the	DET
cuesj-1390	91	4	linear	linear	ADJ
cuesj-1390	91	5	kernel	kernel	NOUN
cuesj-1390	91	6	also	also	ADV
cuesj-1390	91	7	demonstrates	demonstrate	VERB
cuesj-1390	91	8	strong	strong	ADJ
cuesj-1390	91	9	performance	performance	NOUN
cuesj-1390	91	10	with	with	ADP
cuesj-1390	91	11	an	an	DET
cuesj-1390	91	12	auc	auc	NOUN
cuesj-1390	91	13	of	of	ADP
cuesj-1390	91	14	0.9859	0.9859	NUM
cuesj-1390	91	15	.	.	PUNCT
cuesj-1390	92	1	its	its	PRON
cuesj-1390	92	2	curve	curve	NOUN
cuesj-1390	92	3	is	be	AUX
cuesj-1390	92	4	slightly	slightly	ADV
cuesj-1390	92	5	below	below	ADP
cuesj-1390	92	6	the	the	DET
cuesj-1390	92	7	polynomial	polynomial	ADJ
cuesj-1390	92	8	model	model	NOUN
cuesj-1390	92	9	’s	’s	PART
cuesj-1390	92	10	,	,	PUNCT
cuesj-1390	92	11	showing	show	VERB
cuesj-1390	92	12	excellent	excellent	ADJ
cuesj-1390	92	13	discriminatory	discriminatory	ADJ
cuesj-1390	92	14	power	power	NOUN
cuesj-1390	92	15	,	,	PUNCT
cuesj-1390	92	16	though	though	SCONJ
cuesj-1390	92	17	not	not	PART
cuesj-1390	92	18	quite	quite	ADV
cuesj-1390	92	19	as	as	ADV
cuesj-1390	92	20	good	good	ADJ
cuesj-1390	92	21	as	as	ADP
cuesj-1390	92	22	the	the	DET
cuesj-1390	92	23	polynomial	polynomial	ADJ
cuesj-1390	92	24	kernel	kernel	NOUN
cuesj-1390	92	25	.	.	PUNCT
cuesj-1390	93	1	finally	finally	ADV
cuesj-1390	93	2	,	,	PUNCT
cuesj-1390	93	3	the	the	DET
cuesj-1390	93	4	rbf	rbf	PROPN
cuesj-1390	93	5	kernel	kernel	PROPN
cuesj-1390	93	6	has	have	VERB
cuesj-1390	93	7	the	the	DET
cuesj-1390	93	8	lowest	low	ADJ
cuesj-1390	93	9	auc	auc	NOUN
cuesj-1390	93	10	at	at	ADP
cuesj-1390	93	11	0.9818	0.9818	NUM
cuesj-1390	93	12	(	(	PUNCT
cuesj-1390	93	13	rounded	round	VERB
cuesj-1390	93	14	from	from	ADP
cuesj-1390	93	15	0.98175	0.98175	NUM
cuesj-1390	93	16	)	)	PUNCT
cuesj-1390	93	17	,	,	PUNCT
cuesj-1390	93	18	and	and	CCONJ
cuesj-1390	93	19	its	its	PRON
cuesj-1390	93	20	curve	curve	NOUN
cuesj-1390	93	21	is	be	AUX
cuesj-1390	93	22	visibly	visibly	ADV
cuesj-1390	93	23	further	far	ADV
cuesj-1390	93	24	from	from	ADP
cuesj-1390	93	25	the	the	DET
cuesj-1390	93	26	top	top	ADJ
cuesj-1390	93	27	left	leave	VERB
cuesj-1390	93	28	corner	corner	NOUN
cuesj-1390	93	29	,	,	PUNCT
cuesj-1390	93	30	indicating	indicate	VERB
cuesj-1390	93	31	comparatively	comparatively	ADV
cuesj-1390	93	32	lower	low	ADJ
cuesj-1390	93	33	discriminatory	discriminatory	ADJ
cuesj-1390	93	34	capabilities	capability	NOUN
cuesj-1390	93	35	.	.	PUNCT
cuesj-1390	94	1	in	in	ADP
cuesj-1390	94	2	all	all	DET
cuesj-1390	94	3	the	the	DET
cuesj-1390	94	4	graphs	graph	NOUN
cuesj-1390	94	5	,	,	PUNCT
cuesj-1390	94	6	the	the	DET
cuesj-1390	94	7	dotted	dotted	ADJ
cuesj-1390	94	8	diagonal	diagonal	ADJ
cuesj-1390	94	9	line	line	NOUN
cuesj-1390	94	10	represents	represent	VERB
cuesj-1390	94	11	the	the	DET
cuesj-1390	94	12	performance	performance	NOUN
cuesj-1390	94	13	of	of	ADP
cuesj-1390	94	14	a	a	DET
cuesj-1390	94	15	random	random	ADJ
cuesj-1390	94	16	classifier	classifier	NOUN
cuesj-1390	94	17	with	with	ADP
cuesj-1390	94	18	an	an	DET
cuesj-1390	94	19	auc	auc	NOUN
cuesj-1390	94	20	of	of	ADP
cuesj-1390	94	21	0.5	0.5	NUM
cuesj-1390	94	22	.	.	PUNCT
cuesj-1390	95	1	since	since	SCONJ
cuesj-1390	95	2	all	all	DET
cuesj-1390	95	3	models	model	NOUN
cuesj-1390	95	4	have	have	VERB
cuesj-1390	95	5	curves	curve	NOUN
cuesj-1390	95	6	significantly	significantly	ADV
cuesj-1390	95	7	above	above	ADP
cuesj-1390	95	8	this	this	DET
cuesj-1390	95	9	line	line	NOUN
cuesj-1390	95	10	,	,	PUNCT
cuesj-1390	95	11	it	it	PRON
cuesj-1390	95	12	suggests	suggest	VERB
cuesj-1390	95	13	that	that	SCONJ
cuesj-1390	95	14	all	all	DET
cuesj-1390	95	15	three	three	NUM
cuesj-1390	95	16	models	model	NOUN
cuesj-1390	95	17	are	be	AUX
cuesj-1390	95	18	notably	notably	ADV
cuesj-1390	95	19	better	well	ADJ
cuesj-1390	95	20	than	than	ADP
cuesj-1390	95	21	a	a	DET
cuesj-1390	95	22	random	random	ADJ
cuesj-1390	95	23	classifier	classifier	NOUN
cuesj-1390	95	24	.	.	PUNCT
cuesj-1390	96	1	overall	overall	ADV
cuesj-1390	96	2	,	,	PUNCT
cuesj-1390	96	3	figure	figure	NOUN
cuesj-1390	96	4	1	1	NUM
cuesj-1390	96	5	visually	visually	ADV
cuesj-1390	96	6	confirms	confirm	VERB
cuesj-1390	96	7	the	the	DET
cuesj-1390	96	8	numerical	numerical	ADJ
cuesj-1390	96	9	results	result	NOUN
cuesj-1390	96	10	in	in	ADP
cuesj-1390	96	11	table	table	NOUN
cuesj-1390	96	12	4	4	NUM
cuesj-1390	96	13	,	,	PUNCT
cuesj-1390	96	14	reinforcing	reinforce	VERB
cuesj-1390	96	15	the	the	DET
cuesj-1390	96	16	conclusion	conclusion	NOUN
cuesj-1390	96	17	that	that	SCONJ
cuesj-1390	96	18	the	the	DET
cuesj-1390	96	19	polynomial	polynomial	ADJ
cuesj-1390	96	20	kernel	kernel	NOUN
cuesj-1390	96	21	is	be	AUX
cuesj-1390	96	22	the	the	DET
cuesj-1390	96	23	best	well	ADV
cuesj-1390	96	24	-	-	PUNCT
cuesj-1390	96	25	performing	perform	VERB
cuesj-1390	96	26	model	model	NOUN
cuesj-1390	96	27	for	for	ADP
cuesj-1390	96	28	breast	breast	NOUN
cuesj-1390	96	29	cancer	cancer	NOUN
cuesj-1390	96	30	classification	classification	NOUN
cuesj-1390	96	31	.	.	PUNCT
cuesj-1390	97	1	discussion	discussion	NOUN
cuesj-1390	97	2	this	this	DET
cuesj-1390	97	3	study	study	NOUN
cuesj-1390	97	4	offers	offer	VERB
cuesj-1390	97	5	a	a	DET
cuesj-1390	97	6	comparative	comparative	ADJ
cuesj-1390	97	7	analysis	analysis	NOUN
cuesj-1390	97	8	of	of	ADP
cuesj-1390	97	9	three	three	NUM
cuesj-1390	97	10	widely	widely	ADV
cuesj-1390	97	11	used	use	VERB
cuesj-1390	97	12	svm	svm	PROPN
cuesj-1390	97	13	kernel	kernel	PROPN
cuesj-1390	97	14	functions	function	NOUN
cuesj-1390	97	15	:	:	PUNCT
cuesj-1390	97	16	linear	linear	ADJ
cuesj-1390	97	17	,	,	PUNCT
cuesj-1390	97	18	polynomial	polynomial	ADJ
cuesj-1390	97	19	,	,	PUNCT
cuesj-1390	97	20	and	and	CCONJ
cuesj-1390	97	21	rbf	rbf	PROPN
cuesj-1390	97	22	,	,	PUNCT
cuesj-1390	97	23	specifically	specifically	ADV
cuesj-1390	97	24	for	for	ADP
cuesj-1390	97	25	the	the	DET
cuesj-1390	97	26	classification	classification	NOUN
cuesj-1390	97	27	of	of	ADP
cuesj-1390	97	28	breast	breast	NOUN
cuesj-1390	97	29	cancer	cancer	NOUN
cuesj-1390	97	30	using	use	VERB
cuesj-1390	97	31	the	the	DET
cuesj-1390	97	32	wbc	wbc	PROPN
cuesj-1390	97	33	dataset	dataset	NOUN
cuesj-1390	97	34	.	.	PUNCT
cuesj-1390	98	1	we	we	PRON
cuesj-1390	98	2	assessed	assess	VERB
cuesj-1390	98	3	each	each	DET
cuesj-1390	98	4	kernel	kernel	NOUN
cuesj-1390	98	5	’s	’s	PART
cuesj-1390	98	6	performance	performance	NOUN
cuesj-1390	98	7	using	use	VERB
cuesj-1390	98	8	various	various	ADJ
cuesj-1390	98	9	evaluation	evaluation	NOUN
cuesj-1390	98	10	metrics	metric	NOUN
cuesj-1390	98	11	,	,	PUNCT
cuesj-1390	98	12	including	include	VERB
cuesj-1390	98	13	accuracy	accuracy	NOUN
cuesj-1390	98	14	,	,	PUNCT
cuesj-1390	98	15	precision	precision	NOUN
cuesj-1390	98	16	,	,	PUNCT
cuesj-1390	98	17	recall	recall	NOUN
cuesj-1390	98	18	,	,	PUNCT
cuesj-1390	98	19	specificity	specificity	NOUN
cuesj-1390	98	20	,	,	PUNCT
cuesj-1390	98	21	f	f	X
cuesj-1390	98	22	-	-	PUNCT
cuesj-1390	98	23	scores	score	NOUN
cuesj-1390	98	24	,	,	PUNCT
cuesj-1390	98	25	and	and	CCONJ
cuesj-1390	98	26	auc	auc	NOUN
cuesj-1390	98	27	.	.	PUNCT
cuesj-1390	99	1	the	the	DET
cuesj-1390	99	2	results	result	NOUN
cuesj-1390	99	3	are	be	AUX
cuesj-1390	99	4	quite	quite	ADV
cuesj-1390	99	5	consistent	consistent	ADJ
cuesj-1390	99	6	:	:	PUNCT
cuesj-1390	99	7	the	the	DET
cuesj-1390	99	8	polynomial	polynomial	ADJ
cuesj-1390	99	9	kernel	kernel	NOUN
cuesj-1390	99	10	surpasses	surpass	VERB
cuesj-1390	99	11	both	both	CCONJ
cuesj-1390	99	12	the	the	DET
cuesj-1390	99	13	linear	linear	NOUN
cuesj-1390	99	14	and	and	CCONJ
cuesj-1390	99	15	rbf	rbf	PROPN
cuesj-1390	99	16	kernels	kernel	NOUN
cuesj-1390	99	17	in	in	ADP
cuesj-1390	99	18	all	all	DET
cuesj-1390	99	19	respects	respect	NOUN
cuesj-1390	99	20	,	,	PUNCT
cuesj-1390	99	21	particularly	particularly	ADV
cuesj-1390	99	22	regarding	regard	VERB
cuesj-1390	99	23	overall	overall	ADJ
cuesj-1390	99	24	accuracy	accuracy	NOUN
cuesj-1390	99	25	,	,	PUNCT
cuesj-1390	99	26	specificity	specificity	NOUN
cuesj-1390	99	27	,	,	PUNCT
cuesj-1390	99	28	and	and	CCONJ
cuesj-1390	99	29	most	most	ADV
cuesj-1390	99	30	impressively	impressively	ADV
cuesj-1390	99	31	-	-	PUNCT
cuesj-1390	99	32	auc	auc	NOUN
cuesj-1390	99	33	.	.	PUNCT
cuesj-1390	100	1	such	such	ADJ
cuesj-1390	100	2	results	result	NOUN
cuesj-1390	100	3	complement	complement	VERB
cuesj-1390	100	4	other	other	ADJ
cuesj-1390	100	5	works	work	NOUN
cuesj-1390	100	6	in	in	ADP
cuesj-1390	100	7	which	which	PRON
cuesj-1390	100	8	the	the	DET
cuesj-1390	100	9	efficiency	efficiency	NOUN
cuesj-1390	100	10	of	of	ADP
cuesj-1390	100	11	polynomial	polynomial	ADJ
cuesj-1390	100	12	kernels	kernel	NOUN
cuesj-1390	100	13	on	on	ADP
cuesj-1390	100	14	complex	complex	ADJ
cuesj-1390	100	15	classification	classification	NOUN
cuesj-1390	100	16	problems	problem	NOUN
cuesj-1390	100	17	was	be	AUX
cuesj-1390	100	18	underlined	underline	VERB
cuesj-1390	100	19	.	.	PUNCT
cuesj-1390	101	1	in	in	ADP
cuesj-1390	101	2	fact	fact	NOUN
cuesj-1390	101	3	,	,	PUNCT
cuesj-1390	101	4	in	in	ADP
cuesj-1390	101	5	one	one	NUM
cuesj-1390	101	6	of	of	ADP
cuesj-1390	101	7	table	table	NOUN
cuesj-1390	101	8	4	4	NUM
cuesj-1390	101	9	:	:	PUNCT
cuesj-1390	101	10	confusion	confusion	NOUN
cuesj-1390	101	11	matrix	matrix	NOUN
cuesj-1390	101	12	for	for	ADP
cuesj-1390	101	13	the	the	DET
cuesj-1390	101	14	matrix	matrix	NOUN
cuesj-1390	101	15	of	of	ADP
cuesj-1390	101	16	rbf	rbf	PROPN
cuesj-1390	101	17	model	model	PROPN
cuesj-1390	101	18	predicted\actual	predicted\actual	ADJ
cuesj-1390	101	19	positive	positive	ADJ
cuesj-1390	101	20	negative	negative	ADJ
cuesj-1390	101	21	positive	positive	ADJ
cuesj-1390	101	22	192	192	NUM
cuesj-1390	101	23	20	20	NUM
cuesj-1390	101	24	negative	negative	ADJ
cuesj-1390	101	25	11	11	NUM
cuesj-1390	101	26	346	346	NUM
cuesj-1390	101	27	table	table	NOUN
cuesj-1390	101	28	3	3	NUM
cuesj-1390	101	29	:	:	PUNCT
cuesj-1390	101	30	confusion	confusion	NOUN
cuesj-1390	101	31	matrix	matrix	NOUN
cuesj-1390	101	32	for	for	ADP
cuesj-1390	101	33	polynomial	polynomial	ADJ
cuesj-1390	101	34	kernel	kernel	PROPN
cuesj-1390	101	35	model	model	NOUN
cuesj-1390	101	36	predicted\actual	predicted\actual	ADJ
cuesj-1390	101	37	positive	positive	ADJ
cuesj-1390	101	38	negative	negative	ADJ
cuesj-1390	101	39	positive	positive	ADJ
cuesj-1390	101	40	202	202	NUM
cuesj-1390	101	41	10	10	NUM
cuesj-1390	101	42	negative	negative	ADJ
cuesj-1390	101	43	8	8	NUM
cuesj-1390	101	44	349	349	NUM
cuesj-1390	101	45	table	table	NOUN
cuesj-1390	101	46	5	5	NUM
cuesj-1390	101	47	:	:	PUNCT
cuesj-1390	101	48	performance	performance	NOUN
cuesj-1390	101	49	metric	metric	ADJ
cuesj-1390	101	50	comparison	comparison	NOUN
cuesj-1390	101	51	metric	metric	ADJ
cuesj-1390	101	52	polynomial	polynomial	ADJ
cuesj-1390	101	53	kernel	kernel	PROPN
cuesj-1390	101	54	rbf	rbf	PROPN
cuesj-1390	101	55	kernel	kernel	PROPN
cuesj-1390	101	56	linear	linear	PROPN
cuesj-1390	101	57	kernel	kernel	PROPN
cuesj-1390	101	58	accuracy	accuracy	NOUN
cuesj-1390	102	1	0.9684	0.9684	NUM
cuesj-1390	102	2	0.9455	0.9455	NUM
cuesj-1390	102	3	0.9630	0.9630	NUM
cuesj-1390	102	4	precision	precision	NOUN
cuesj-1390	102	5	0.9619	0.9619	NUM
cuesj-1390	102	6	0.9458	0.9458	NUM
cuesj-1390	102	7	0.9442	0.9442	NUM
cuesj-1390	102	8	recall	recall	VERB
cuesj-1390	102	9	0.9528	0.9528	NUM
cuesj-1390	102	10	0.9057	0.9057	NUM
cuesj-1390	102	11	0.9575	0.9575	NUM
cuesj-1390	102	12	specificity	specificity	NOUN
cuesj-1390	102	13	0.9776	0.9776	NUM
cuesj-1390	102	14	0.9692	0.9692	NUM
cuesj-1390	102	15	0.9663	0.9663	NUM
cuesj-1390	102	16	f1	f1	NOUN
cuesj-1390	102	17	score	score	NOUN
cuesj-1390	102	18	0.9573	0.9573	NUM
cuesj-1390	102	19	0.9253	0.9253	NUM
cuesj-1390	102	20	0.9508	0.9508	NUM
cuesj-1390	102	21	f2	f2	PROPN
cuesj-1390	102	22	score	score	VERB
cuesj-1390	102	23	0.9546	0.9546	NUM
cuesj-1390	103	1	0.9134	0.9134	NUM
cuesj-1390	103	2	0.9548	0.9548	NUM
cuesj-1390	103	3	f3	f3	ADJ
cuesj-1390	103	4	score	score	NOUN
cuesj-1390	103	5	0.9537	0.9537	NUM
cuesj-1390	103	6	0.9095	0.9095	NUM
cuesj-1390	103	7	0.9562	0.9562	NUM
cuesj-1390	103	8	auc	auc	NOUN
cuesj-1390	103	9	0.9966	0.9966	NUM
cuesj-1390	103	10	0.9818	0.9818	NUM
cuesj-1390	103	11	0.9859	0.9859	NUM
cuesj-1390	103	12	auc	auc	NOUN
cuesj-1390	103	13	:	:	PUNCT
cuesj-1390	103	14	area	area	NOUN
cuesj-1390	103	15	under	under	ADP
cuesj-1390	103	16	the	the	DET
cuesj-1390	103	17	curve	curve	NOUN
cuesj-1390	103	18	,	,	PUNCT
cuesj-1390	103	19	rbf	rbf	PROPN
cuesj-1390	103	20	:	:	PUNCT
cuesj-1390	103	21	radial	radial	ADJ
cuesj-1390	103	22	basis	basis	NOUN
cuesj-1390	103	23	function	function	NOUN
cuesj-1390	103	24	salih	salih	PROPN
cuesj-1390	103	25	and	and	CCONJ
cuesj-1390	103	26	mahmood	mahmood	PROPN
cuesj-1390	103	27	:	:	PUNCT
cuesj-1390	103	28	svm	svm	PROPN
cuesj-1390	103	29	kernel	kernel	PROPN
cuesj-1390	103	30	functions	function	NOUN
cuesj-1390	103	31	for	for	ADP
cuesj-1390	103	32	breast	breast	NOUN
cuesj-1390	103	33	cancer	cancer	NOUN
cuesj-1390	103	34	classification	classification	NOUN
cuesj-1390	103	35	45	45	NUM
cuesj-1390	103	36	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	103	37	cuesj	cuesj	NOUN
cuesj-1390	103	38	2025	2025	NUM
cuesj-1390	103	39	,	,	PUNCT
cuesj-1390	103	40	9	9	NUM
cuesj-1390	103	41	(	(	PUNCT
cuesj-1390	103	42	1	1	NUM
cuesj-1390	103	43	):	):	PUNCT
cuesj-1390	103	44	41	41	NUM
cuesj-1390	103	45	-	-	SYM
cuesj-1390	103	46	46	46	NUM
cuesj-1390	103	47	the	the	DET
cuesj-1390	103	48	studies	study	NOUN
cuesj-1390	103	49	,	,	PUNCT
cuesj-1390	103	50	similar	similar	ADJ
cuesj-1390	103	51	results	result	NOUN
cuesj-1390	103	52	were	be	AUX
cuesj-1390	103	53	obtained	obtain	VERB
cuesj-1390	103	54	,	,	PUNCT
cuesj-1390	103	55	representing	represent	VERB
cuesj-1390	103	56	the	the	DET
cuesj-1390	103	57	polynomial	polynomial	ADJ
cuesj-1390	103	58	kernel	kernel	NOUN
cuesj-1390	103	59	as	as	ADP
cuesj-1390	103	60	one	one	NUM
cuesj-1390	103	61	of	of	ADP
cuesj-1390	103	62	the	the	DET
cuesj-1390	103	63	best	good	ADJ
cuesj-1390	103	64	for	for	ADP
cuesj-1390	103	65	classification	classification	NOUN
cuesj-1390	103	66	tasks	task	NOUN
cuesj-1390	103	67	,	,	PUNCT
cuesj-1390	103	68	mainly	mainly	ADV
cuesj-1390	103	69	due	due	ADP
cuesj-1390	103	70	to	to	ADP
cuesj-1390	103	71	its	its	PRON
cuesj-1390	103	72	non	non	ADJ
cuesj-1390	103	73	-	-	ADJ
cuesj-1390	103	74	linear	linear	ADJ
cuesj-1390	103	75	connections	connection	NOUN
cuesj-1390	103	76	’	'	PUNCT
cuesj-1390	103	77	detectability	detectability	NOUN
cuesj-1390	103	78	within	within	ADP
cuesj-1390	103	79	data.[5	data.[5	NOUN
cuesj-1390	103	80	]	]	PUNCT
cuesj-1390	103	81	furthermore	furthermore	ADV
cuesj-1390	103	82	,	,	PUNCT
cuesj-1390	103	83	many	many	ADJ
cuesj-1390	103	84	researchers	researcher	NOUN
cuesj-1390	103	85	have	have	AUX
cuesj-1390	103	86	proved	prove	VERB
cuesj-1390	103	87	that	that	SCONJ
cuesj-1390	103	88	even	even	ADV
cuesj-1390	103	89	though	though	SCONJ
cuesj-1390	103	90	the	the	DET
cuesj-1390	103	91	rbf	rbf	PROPN
cuesj-1390	103	92	kernel	kernel	PROPN
cuesj-1390	103	93	may	may	AUX
cuesj-1390	103	94	be	be	AUX
cuesj-1390	103	95	a	a	DET
cuesj-1390	103	96	suitable	suitable	ADJ
cuesj-1390	103	97	choice	choice	NOUN
cuesj-1390	103	98	for	for	ADP
cuesj-1390	103	99	most	most	ADJ
cuesj-1390	103	100	of	of	ADP
cuesj-1390	103	101	the	the	DET
cuesj-1390	103	102	intricate	intricate	ADJ
cuesj-1390	103	103	data	datum	NOUN
cuesj-1390	103	104	,	,	PUNCT
cuesj-1390	103	105	it	it	PRON
cuesj-1390	103	106	always	always	ADV
cuesj-1390	103	107	requires	require	VERB
cuesj-1390	103	108	appropriate	appropriate	ADJ
cuesj-1390	103	109	parameter	parameter	NOUN
cuesj-1390	103	110	tuning.[20,27	tuning.[20,27	ADV
cuesj-1390	103	111	]	]	PUNCT
cuesj-1390	103	112	our	our	PRON
cuesj-1390	103	113	case	case	NOUN
cuesj-1390	103	114	reflects	reflect	VERB
cuesj-1390	103	115	that	that	SCONJ
cuesj-1390	103	116	the	the	DET
cuesj-1390	103	117	rbf	rbf	PROPN
cuesj-1390	103	118	kernel	kernel	PROPN
cuesj-1390	103	119	was	be	AUX
cuesj-1390	103	120	not	not	PART
cuesj-1390	103	121	able	able	ADJ
cuesj-1390	103	122	to	to	PART
cuesj-1390	103	123	achieve	achieve	VERB
cuesj-1390	103	124	similar	similar	ADJ
cuesj-1390	103	125	performances	performance	NOUN
cuesj-1390	103	126	attained	attain	VERB
cuesj-1390	103	127	by	by	ADP
cuesj-1390	103	128	the	the	DET
cuesj-1390	103	129	polynomial	polynomial	ADJ
cuesj-1390	103	130	kernel	kernel	NOUN
cuesj-1390	103	131	.	.	PUNCT
cuesj-1390	104	1	it	it	PRON
cuesj-1390	104	2	is	be	AUX
cuesj-1390	104	3	justified	justify	VERB
cuesj-1390	104	4	that	that	SCONJ
cuesj-1390	104	5	this	this	DET
cuesj-1390	104	6	kernel	kernel	NOUN
cuesj-1390	104	7	is	be	AUX
cuesj-1390	104	8	performing	perform	VERB
cuesj-1390	104	9	better	well	ADV
cuesj-1390	104	10	because	because	SCONJ
cuesj-1390	104	11	the	the	DET
cuesj-1390	104	12	polynomial	polynomial	ADJ
cuesj-1390	104	13	kernel	kernel	NOUN
cuesj-1390	104	14	maps	map	VERB
cuesj-1390	104	15	the	the	DET
cuesj-1390	104	16	input	input	NOUN
cuesj-1390	104	17	data	datum	NOUN
cuesj-1390	104	18	into	into	ADP
cuesj-1390	104	19	higherdimensional	higherdimensional	ADJ
cuesj-1390	104	20	space	space	NOUN
cuesj-1390	104	21	using	use	VERB
cuesj-1390	104	22	a	a	DET
cuesj-1390	104	23	polynomial	polynomial	ADJ
cuesj-1390	104	24	function	function	NOUN
cuesj-1390	104	25	and	and	CCONJ
cuesj-1390	104	26	hence	hence	ADV
cuesj-1390	104	27	grasps	grasp	VERB
cuesj-1390	104	28	more	more	ADJ
cuesj-1390	104	29	complex	complex	ADJ
cuesj-1390	104	30	relations	relation	NOUN
cuesj-1390	104	31	within	within	ADP
cuesj-1390	104	32	the	the	DET
cuesj-1390	104	33	data.[23	data.[23	PROPN
cuesj-1390	104	34	]	]	PUNCT
cuesj-1390	104	35	increased	increase	VERB
cuesj-1390	104	36	flexibility	flexibility	NOUN
cuesj-1390	104	37	becomes	become	VERB
cuesj-1390	104	38	important	important	ADJ
cuesj-1390	104	39	in	in	ADP
cuesj-1390	104	40	modeling	model	VERB
cuesj-1390	104	41	the	the	DET
cuesj-1390	104	42	intricacy	intricacy	NOUN
cuesj-1390	104	43	of	of	ADP
cuesj-1390	104	44	medical	medical	ADJ
cuesj-1390	104	45	datasets	dataset	NOUN
cuesj-1390	104	46	for	for	ADP
cuesj-1390	104	47	which	which	PRON
cuesj-1390	104	48	classes	class	NOUN
cuesj-1390	104	49	can	can	AUX
cuesj-1390	104	50	not	not	PART
cuesj-1390	104	51	always	always	ADV
cuesj-1390	104	52	be	be	AUX
cuesj-1390	104	53	separated	separate	VERB
cuesj-1390	104	54	by	by	ADP
cuesj-1390	104	55	a	a	DET
cuesj-1390	104	56	linear	linear	ADJ
cuesj-1390	104	57	boundary	boundary	NOUN
cuesj-1390	104	58	.	.	PUNCT
cuesj-1390	105	1	the	the	DET
cuesj-1390	105	2	linear	linear	ADJ
cuesj-1390	105	3	kernel	kernel	NOUN
cuesj-1390	105	4	also	also	ADV
cuesj-1390	105	5	performed	perform	VERB
cuesj-1390	105	6	very	very	ADV
cuesj-1390	105	7	well	well	ADV
cuesj-1390	105	8	with	with	ADP
cuesj-1390	105	9	an	an	DET
cuesj-1390	105	10	auc	auc	NOUN
cuesj-1390	105	11	of	of	ADP
cuesj-1390	105	12	0.9859	0.9859	NUM
cuesj-1390	105	13	and	and	CCONJ
cuesj-1390	105	14	sensitivity	sensitivity	NOUN
cuesj-1390	105	15	,	,	PUNCT
cuesj-1390	105	16	proving	prove	VERB
cuesj-1390	105	17	that	that	SCONJ
cuesj-1390	105	18	there	there	PRON
cuesj-1390	105	19	was	be	VERB
cuesj-1390	105	20	a	a	DET
cuesj-1390	105	21	certain	certain	ADJ
cuesj-1390	105	22	degree	degree	NOUN
cuesj-1390	105	23	of	of	ADP
cuesj-1390	105	24	linearity	linearity	NOUN
cuesj-1390	105	25	inside	inside	ADP
cuesj-1390	105	26	the	the	DET
cuesj-1390	105	27	dataset	dataset	NOUN
cuesj-1390	105	28	.	.	PUNCT
cuesj-1390	106	1	this	this	PRON
cuesj-1390	106	2	is	be	AUX
cuesj-1390	106	3	important	important	ADJ
cuesj-1390	106	4	because	because	SCONJ
cuesj-1390	106	5	linear	linear	ADJ
cuesj-1390	106	6	kernels	kernel	NOUN
cuesj-1390	106	7	are	be	AUX
cuesj-1390	106	8	computationally	computationally	ADV
cuesj-1390	106	9	simpler	simple	ADJ
cuesj-1390	106	10	and	and	CCONJ
cuesj-1390	106	11	sometimes	sometimes	ADV
cuesj-1390	106	12	can	can	AUX
cuesj-1390	106	13	give	give	VERB
cuesj-1390	106	14	decent	decent	ADJ
cuesj-1390	106	15	results	result	NOUN
cuesj-1390	106	16	with	with	ADP
cuesj-1390	106	17	far	far	ADV
cuesj-1390	106	18	lower	low	ADJ
cuesj-1390	106	19	computational	computational	ADJ
cuesj-1390	106	20	costs	cost	NOUN
cuesj-1390	106	21	.	.	PUNCT
cuesj-1390	107	1	however	however	ADV
cuesj-1390	107	2	,	,	PUNCT
cuesj-1390	107	3	our	our	PRON
cuesj-1390	107	4	analysis	analysis	NOUN
cuesj-1390	107	5	suggests	suggest	VERB
cuesj-1390	107	6	that	that	SCONJ
cuesj-1390	107	7	due	due	ADP
cuesj-1390	107	8	to	to	ADP
cuesj-1390	107	9	its	its	PRON
cuesj-1390	107	10	capability	capability	NOUN
cuesj-1390	107	11	of	of	ADP
cuesj-1390	107	12	capturing	capture	VERB
cuesj-1390	107	13	more	more	ADJ
cuesj-1390	107	14	intricate	intricate	ADJ
cuesj-1390	107	15	patterns	pattern	NOUN
cuesj-1390	107	16	,	,	PUNCT
cuesj-1390	107	17	the	the	DET
cuesj-1390	107	18	polynomial	polynomial	ADJ
cuesj-1390	107	19	kernel	kernel	NOUN
cuesj-1390	107	20	achieves	achieve	VERB
cuesj-1390	107	21	higher	high	ADJ
cuesj-1390	107	22	accuracy	accuracy	NOUN
cuesj-1390	107	23	and	and	CCONJ
cuesj-1390	107	24	specificity	specificity	NOUN
cuesj-1390	107	25	.	.	PUNCT
cuesj-1390	108	1	although	although	SCONJ
cuesj-1390	108	2	effective	effective	ADJ
cuesj-1390	108	3	for	for	ADP
cuesj-1390	108	4	many	many	ADJ
cuesj-1390	108	5	problems	problem	NOUN
cuesj-1390	108	6	,	,	PUNCT
cuesj-1390	108	7	the	the	DET
cuesj-1390	108	8	rbf	rbf	PROPN
cuesj-1390	108	9	kernel	kernel	PROPN
cuesj-1390	108	10	exhibited	exhibit	VERB
cuesj-1390	108	11	considerably	considerably	ADV
cuesj-1390	108	12	lower	low	ADJ
cuesj-1390	108	13	performance	performance	NOUN
cuesj-1390	108	14	on	on	ADP
cuesj-1390	108	15	this	this	DET
cuesj-1390	108	16	classification	classification	NOUN
cuesj-1390	108	17	problem	problem	NOUN
cuesj-1390	108	18	.	.	PUNCT
cuesj-1390	109	1	lower	low	ADJ
cuesj-1390	109	2	auc	auc	NOUN
cuesj-1390	109	3	and	and	CCONJ
cuesj-1390	109	4	lower	low	ADJ
cuesj-1390	109	5	precision	precision	NOUN
cuesj-1390	109	6	,	,	PUNCT
cuesj-1390	109	7	recall	recall	NOUN
cuesj-1390	109	8	,	,	PUNCT
cuesj-1390	109	9	and	and	CCONJ
cuesj-1390	109	10	f	f	X
cuesj-1390	109	11	-	-	PUNCT
cuesj-1390	109	12	scores	score	NOUN
cuesj-1390	109	13	of	of	ADP
cuesj-1390	109	14	the	the	DET
cuesj-1390	109	15	rbf	rbf	PROPN
cuesj-1390	109	16	kernel	kernel	PROPN
cuesj-1390	109	17	indicate	indicate	VERB
cuesj-1390	109	18	poor	poor	ADJ
cuesj-1390	109	19	generalization	generalization	NOUN
cuesj-1390	109	20	of	of	ADP
cuesj-1390	109	21	the	the	DET
cuesj-1390	109	22	radial	radial	ADJ
cuesj-1390	109	23	distancebased	distancebase	VERB
cuesj-1390	109	24	similarity	similarity	NOUN
cuesj-1390	109	25	measure	measure	NOUN
cuesj-1390	109	26	for	for	ADP
cuesj-1390	109	27	the	the	DET
cuesj-1390	109	28	chosen	choose	VERB
cuesj-1390	109	29	dataset	dataset	NOUN
cuesj-1390	109	30	.	.	PUNCT
cuesj-1390	110	1	this	this	PRON
cuesj-1390	110	2	may	may	AUX
cuesj-1390	110	3	be	be	AUX
cuesj-1390	110	4	due	due	ADJ
cuesj-1390	110	5	to	to	ADP
cuesj-1390	110	6	either	either	CCONJ
cuesj-1390	110	7	the	the	DET
cuesj-1390	110	8	nature	nature	NOUN
cuesj-1390	110	9	of	of	ADP
cuesj-1390	110	10	the	the	DET
cuesj-1390	110	11	dataset	dataset	NOUN
cuesj-1390	110	12	or	or	CCONJ
cuesj-1390	110	13	some	some	DET
cuesj-1390	110	14	problems	problem	NOUN
cuesj-1390	110	15	in	in	ADP
cuesj-1390	110	16	rbf	rbf	PROPN
cuesj-1390	110	17	hyperparameters	hyperparameter	NOUN
cuesj-1390	110	18	,	,	PUNCT
cuesj-1390	110	19	indicating	indicate	VERB
cuesj-1390	110	20	that	that	SCONJ
cuesj-1390	110	21	kernel	kernel	PROPN
cuesj-1390	110	22	selection	selection	NOUN
cuesj-1390	110	23	needs	need	VERB
cuesj-1390	110	24	to	to	PART
cuesj-1390	110	25	be	be	AUX
cuesj-1390	110	26	specific	specific	ADJ
cuesj-1390	110	27	to	to	ADP
cuesj-1390	110	28	the	the	DET
cuesj-1390	110	29	nature	nature	NOUN
cuesj-1390	110	30	of	of	ADP
cuesj-1390	110	31	a	a	DET
cuesj-1390	110	32	dataset	dataset	NOUN
cuesj-1390	110	33	.	.	PUNCT
cuesj-1390	111	1	this	this	PRON
cuesj-1390	111	2	is	be	AUX
cuesj-1390	111	3	most	most	ADV
cuesj-1390	111	4	significant	significant	ADJ
cuesj-1390	111	5	in	in	ADP
cuesj-1390	111	6	medical	medical	ADJ
cuesj-1390	111	7	diagnosis	diagnosis	NOUN
cuesj-1390	111	8	,	,	PUNCT
cuesj-1390	111	9	in	in	ADP
cuesj-1390	111	10	which	which	PRON
cuesj-1390	111	11	early	early	ADJ
cuesj-1390	111	12	detection	detection	NOUN
cuesj-1390	111	13	is	be	AUX
cuesj-1390	111	14	critical	critical	ADJ
cuesj-1390	111	15	.	.	PUNCT
cuesj-1390	112	1	a	a	DET
cuesj-1390	112	2	higher	high	ADJ
cuesj-1390	112	3	auc	auc	NOUN
cuesj-1390	112	4	for	for	ADP
cuesj-1390	112	5	the	the	DET
cuesj-1390	112	6	polynomial	polynomial	ADJ
cuesj-1390	112	7	kernel	kernel	NOUN
cuesj-1390	112	8	means	mean	VERB
cuesj-1390	112	9	increased	increase	VERB
cuesj-1390	112	10	chances	chance	NOUN
cuesj-1390	112	11	of	of	ADP
cuesj-1390	112	12	successfully	successfully	ADV
cuesj-1390	112	13	differentiating	differentiate	VERB
cuesj-1390	112	14	between	between	ADP
cuesj-1390	112	15	malignant	malignant	ADJ
cuesj-1390	112	16	and	and	CCONJ
cuesj-1390	112	17	benign	benign	ADJ
cuesj-1390	112	18	cases	case	NOUN
cuesj-1390	112	19	and	and	CCONJ
cuesj-1390	112	20	fewer	few	ADJ
cuesj-1390	112	21	false	false	ADJ
cuesj-1390	112	22	negatives	negative	NOUN
cuesj-1390	112	23	.	.	PUNCT
cuesj-1390	113	1	sensitivity	sensitivity	NOUN
cuesj-1390	113	2	is	be	AUX
cuesj-1390	113	3	of	of	ADP
cuesj-1390	113	4	utmost	utmost	ADJ
cuesj-1390	113	5	importance	importance	NOUN
cuesj-1390	113	6	for	for	ADP
cuesj-1390	113	7	better	well	ADJ
cuesj-1390	113	8	patient	patient	ADJ
cuesj-1390	113	9	outcomes	outcome	NOUN
cuesj-1390	113	10	,	,	PUNCT
cuesj-1390	113	11	reducing	reduce	VERB
cuesj-1390	113	12	the	the	DET
cuesj-1390	113	13	chances	chance	NOUN
cuesj-1390	113	14	of	of	ADP
cuesj-1390	113	15	late	late	ADJ
cuesj-1390	113	16	intervention	intervention	NOUN
cuesj-1390	113	17	,	,	PUNCT
cuesj-1390	113	18	and	and	CCONJ
cuesj-1390	113	19	is	be	AUX
cuesj-1390	113	20	very	very	ADV
cuesj-1390	113	21	significant	significant	ADJ
cuesj-1390	113	22	for	for	ADP
cuesj-1390	113	23	kernel	kernel	NOUN
cuesj-1390	113	24	selection	selection	NOUN
cuesj-1390	113	25	in	in	ADP
cuesj-1390	113	26	medical	medical	ADJ
cuesj-1390	113	27	contexts.[22	contexts.[22	PROPN
cuesj-1390	113	28	]	]	PUNCT
cuesj-1390	113	29	although	although	SCONJ
cuesj-1390	113	30	this	this	DET
cuesj-1390	113	31	work	work	NOUN
cuesj-1390	113	32	presents	present	VERB
cuesj-1390	113	33	a	a	DET
cuesj-1390	113	34	critical	critical	ADJ
cuesj-1390	113	35	study	study	NOUN
cuesj-1390	113	36	of	of	ADP
cuesj-1390	113	37	the	the	DET
cuesj-1390	113	38	svm	svm	ADJ
cuesj-1390	113	39	kernel	kernel	PROPN
cuesj-1390	113	40	functions	function	NOUN
cuesj-1390	113	41	using	use	VERB
cuesj-1390	113	42	the	the	DET
cuesj-1390	113	43	given	give	VERB
cuesj-1390	113	44	dataset	dataset	NOUN
cuesj-1390	113	45	,	,	PUNCT
cuesj-1390	113	46	one	one	PRON
cuesj-1390	113	47	should	should	AUX
cuesj-1390	113	48	also	also	ADV
cuesj-1390	113	49	ensure	ensure	VERB
cuesj-1390	113	50	that	that	SCONJ
cuesj-1390	113	51	it	it	PRON
cuesj-1390	113	52	is	be	AUX
cuesj-1390	113	53	not	not	PART
cuesj-1390	113	54	without	without	ADP
cuesj-1390	113	55	its	its	PRON
cuesj-1390	113	56	set	set	NOUN
cuesj-1390	113	57	of	of	ADP
cuesj-1390	113	58	limitations	limitation	NOUN
cuesj-1390	113	59	.	.	PUNCT
cuesj-1390	114	1	the	the	DET
cuesj-1390	114	2	model	model	NOUN
cuesj-1390	114	3	does	do	AUX
cuesj-1390	114	4	not	not	PART
cuesj-1390	114	5	fully	fully	ADV
cuesj-1390	114	6	generalize	generalize	VERB
cuesj-1390	114	7	to	to	ADP
cuesj-1390	114	8	other	other	ADJ
cuesj-1390	114	9	datasets	dataset	NOUN
cuesj-1390	114	10	on	on	ADP
cuesj-1390	114	11	breast	breast	NOUN
cuesj-1390	114	12	cancer	cancer	NOUN
cuesj-1390	114	13	,	,	PUNCT
cuesj-1390	114	14	each	each	PRON
cuesj-1390	114	15	of	of	ADP
cuesj-1390	114	16	which	which	PRON
cuesj-1390	114	17	may	may	AUX
cuesj-1390	114	18	have	have	VERB
cuesj-1390	114	19	variable	variable	ADJ
cuesj-1390	114	20	features	feature	NOUN
cuesj-1390	114	21	and	and	CCONJ
cuesj-1390	114	22	dimensions	dimension	NOUN
cuesj-1390	114	23	.	.	PUNCT
cuesj-1390	115	1	further	further	ADJ
cuesj-1390	115	2	research	research	NOUN
cuesj-1390	115	3	work	work	NOUN
cuesj-1390	115	4	must	must	AUX
cuesj-1390	115	5	exercise	exercise	VERB
cuesj-1390	115	6	this	this	DET
cuesj-1390	115	7	comparative	comparative	ADJ
cuesj-1390	115	8	analysis	analysis	NOUN
cuesj-1390	115	9	with	with	ADP
cuesj-1390	115	10	other	other	ADJ
cuesj-1390	115	11	datasets	dataset	NOUN
cuesj-1390	115	12	and	and	CCONJ
cuesj-1390	115	13	variations	variation	NOUN
cuesj-1390	115	14	in	in	ADP
cuesj-1390	115	15	parameters	parameter	NOUN
cuesj-1390	115	16	to	to	PART
cuesj-1390	115	17	assess	assess	VERB
cuesj-1390	115	18	the	the	DET
cuesj-1390	115	19	generalizability	generalizability	NOUN
cuesj-1390	115	20	of	of	ADP
cuesj-1390	115	21	the	the	DET
cuesj-1390	115	22	polynomial	polynomial	ADJ
cuesj-1390	115	23	kernel	kernel	NOUN
cuesj-1390	115	24	overall	overall	ADJ
cuesj-1390	115	25	in	in	ADP
cuesj-1390	115	26	different	different	ADJ
cuesj-1390	115	27	scenarios	scenario	NOUN
cuesj-1390	115	28	of	of	ADP
cuesj-1390	115	29	cancer	cancer	NOUN
cuesj-1390	115	30	detection	detection	NOUN
cuesj-1390	115	31	and	and	CCONJ
cuesj-1390	115	32	robustly	robustly	ADV
cuesj-1390	115	33	develop	develop	VERB
cuesj-1390	115	34	our	our	PRON
cuesj-1390	115	35	conclusion	conclusion	NOUN
cuesj-1390	115	36	.	.	PUNCT
cuesj-1390	116	1	further	further	ADJ
cuesj-1390	116	2	work	work	NOUN
cuesj-1390	116	3	could	could	AUX
cuesj-1390	116	4	be	be	AUX
cuesj-1390	116	5	extended	extend	VERB
cuesj-1390	116	6	to	to	ADP
cuesj-1390	116	7	other	other	ADJ
cuesj-1390	116	8	types	type	NOUN
cuesj-1390	116	9	of	of	ADP
cuesj-1390	116	10	kernels	kernel	NOUN
cuesj-1390	116	11	in	in	ADP
cuesj-1390	116	12	svm	svm	PROPN
cuesj-1390	116	13	or	or	CCONJ
cuesj-1390	116	14	other	other	ADJ
cuesj-1390	116	15	machine	machine	NOUN
cuesj-1390	116	16	-	-	PUNCT
cuesj-1390	116	17	learning	learn	VERB
cuesj-1390	116	18	approaches	approach	NOUN
cuesj-1390	116	19	to	to	PART
cuesj-1390	116	20	see	see	VERB
cuesj-1390	116	21	whether	whether	SCONJ
cuesj-1390	116	22	these	these	PRON
cuesj-1390	116	23	produce	produce	VERB
cuesj-1390	116	24	superior	superior	ADJ
cuesj-1390	116	25	results	result	NOUN
cuesj-1390	116	26	.	.	PUNCT
cuesj-1390	117	1	the	the	DET
cuesj-1390	117	2	conclusion	conclusion	NOUN
cuesj-1390	117	3	of	of	ADP
cuesj-1390	117	4	this	this	DET
cuesj-1390	117	5	research	research	NOUN
cuesj-1390	117	6	really	really	ADV
cuesj-1390	117	7	proved	prove	VERB
cuesj-1390	117	8	that	that	SCONJ
cuesj-1390	117	9	kernel	kernel	PROPN
cuesj-1390	117	10	function	function	PROPN
cuesj-1390	117	11	selection	selection	NOUN
cuesj-1390	117	12	is	be	AUX
cuesj-1390	117	13	very	very	ADV
cuesj-1390	117	14	important	important	ADJ
cuesj-1390	117	15	in	in	ADP
cuesj-1390	117	16	any	any	DET
cuesj-1390	117	17	svm	svm	ADJ
cuesj-1390	117	18	-	-	PUNCT
cuesj-1390	117	19	based	base	VERB
cuesj-1390	117	20	medical	medical	ADJ
cuesj-1390	117	21	diagnosis	diagnosis	NOUN
cuesj-1390	117	22	system	system	NOUN
cuesj-1390	117	23	.	.	PUNCT
cuesj-1390	118	1	so	so	ADV
cuesj-1390	118	2	far	far	ADV
cuesj-1390	118	3	,	,	PUNCT
cuesj-1390	118	4	the	the	DET
cuesj-1390	118	5	polynomial	polynomial	ADJ
cuesj-1390	118	6	kernel	kernel	NOUN
cuesj-1390	118	7	has	have	AUX
cuesj-1390	118	8	resulted	result	VERB
cuesj-1390	118	9	in	in	ADP
cuesj-1390	118	10	the	the	DET
cuesj-1390	118	11	best	good	ADJ
cuesj-1390	118	12	performance	performance	NOUN
cuesj-1390	118	13	in	in	ADP
cuesj-1390	118	14	classifying	classify	VERB
cuesj-1390	118	15	breast	breast	NOUN
cuesj-1390	118	16	cancer	cancer	NOUN
cuesj-1390	118	17	using	use	VERB
cuesj-1390	118	18	the	the	DET
cuesj-1390	118	19	wbc	wbc	NOUN
cuesj-1390	118	20	dataset	dataset	NOUN
cuesj-1390	118	21	and	and	CCONJ
cuesj-1390	118	22	thus	thus	ADV
cuesj-1390	118	23	serves	serve	VERB
cuesj-1390	118	24	as	as	ADP
cuesj-1390	118	25	a	a	DET
cuesj-1390	118	26	very	very	ADV
cuesj-1390	118	27	strong	strong	ADJ
cuesj-1390	118	28	tool	tool	NOUN
cuesj-1390	118	29	toward	toward	ADP
cuesj-1390	118	30	more	more	ADV
cuesj-1390	118	31	effective	effective	ADJ
cuesj-1390	118	32	and	and	CCONJ
cuesj-1390	118	33	reliable	reliable	ADJ
cuesj-1390	118	34	model	model	NOUN
cuesj-1390	118	35	development	development	NOUN
cuesj-1390	118	36	with	with	ADP
cuesj-1390	118	37	an	an	DET
cuesj-1390	118	38	emphasis	emphasis	NOUN
cuesj-1390	118	39	on	on	ADP
cuesj-1390	118	40	higher	high	ADJ
cuesj-1390	118	41	auc	auc	NOUN
cuesj-1390	118	42	and	and	CCONJ
cuesj-1390	118	43	increased	increase	VERB
cuesj-1390	118	44	sensitivity	sensitivity	NOUN
cuesj-1390	118	45	.	.	PUNCT
cuesj-1390	119	1	conclusion	conclusion	NOUN
cuesj-1390	119	2	this	this	DET
cuesj-1390	119	3	study	study	NOUN
cuesj-1390	119	4	certainly	certainly	ADV
cuesj-1390	119	5	establishes	establish	VERB
cuesj-1390	119	6	the	the	DET
cuesj-1390	119	7	supremacy	supremacy	NOUN
cuesj-1390	119	8	of	of	ADP
cuesj-1390	119	9	the	the	DET
cuesj-1390	119	10	polynomial	polynomial	ADJ
cuesj-1390	119	11	kernel	kernel	PROPN
cuesj-1390	119	12	function	function	NOUN
cuesj-1390	119	13	of	of	ADP
cuesj-1390	119	14	svm	svm	PROPN
cuesj-1390	119	15	for	for	ADP
cuesj-1390	119	16	the	the	DET
cuesj-1390	119	17	classification	classification	NOUN
cuesj-1390	119	18	of	of	ADP
cuesj-1390	119	19	breast	breast	NOUN
cuesj-1390	119	20	cancer	cancer	NOUN
cuesj-1390	119	21	using	use	VERB
cuesj-1390	119	22	a	a	DET
cuesj-1390	119	23	wbcd	wbcd	ADJ
cuesj-1390	119	24	dataset	dataset	NOUN
cuesj-1390	119	25	.	.	PUNCT
cuesj-1390	120	1	upon	upon	SCONJ
cuesj-1390	120	2	rigorous	rigorous	ADJ
cuesj-1390	120	3	evaluation	evaluation	NOUN
cuesj-1390	120	4	,	,	PUNCT
cuesj-1390	120	5	a	a	DET
cuesj-1390	120	6	polynomial	polynomial	ADJ
cuesj-1390	120	7	kernel	kernel	NOUN
cuesj-1390	120	8	function	function	NOUN
cuesj-1390	120	9	demonstrated	demonstrate	VERB
cuesj-1390	120	10	the	the	DET
cuesj-1390	120	11	highest	high	ADJ
cuesj-1390	120	12	accuracy	accuracy	NOUN
cuesj-1390	120	13	with	with	ADP
cuesj-1390	120	14	specificity	specificity	NOUN
cuesj-1390	120	15	and	and	CCONJ
cuesj-1390	120	16	auc	auc	NOUN
cuesj-1390	120	17	,	,	PUNCT
cuesj-1390	120	18	with	with	ADP
cuesj-1390	120	19	a	a	DET
cuesj-1390	120	20	significant	significant	ADJ
cuesj-1390	120	21	lead	lead	NOUN
cuesj-1390	120	22	over	over	ADP
cuesj-1390	120	23	linear	linear	PROPN
cuesj-1390	120	24	and	and	CCONJ
cuesj-1390	120	25	rbf	rbf	PROPN
cuesj-1390	120	26	kernel	kernel	PROPN
cuesj-1390	120	27	functions	function	NOUN
cuesj-1390	120	28	.	.	PUNCT
cuesj-1390	121	1	these	these	DET
cuesj-1390	121	2	results	result	NOUN
cuesj-1390	121	3	point	point	VERB
cuesj-1390	121	4	out	out	ADP
cuesj-1390	121	5	the	the	DET
cuesj-1390	121	6	importance	importance	NOUN
cuesj-1390	121	7	of	of	ADP
cuesj-1390	121	8	a	a	DET
cuesj-1390	121	9	proper	proper	ADJ
cuesj-1390	121	10	kernel	kernel	NOUN
cuesj-1390	121	11	function	function	NOUN
cuesj-1390	121	12	in	in	ADP
cuesj-1390	121	13	the	the	DET
cuesj-1390	121	14	development	development	NOUN
cuesj-1390	121	15	of	of	ADP
cuesj-1390	121	16	the	the	DET
cuesj-1390	121	17	svm	svm	ADJ
cuesj-1390	121	18	-	-	PUNCT
cuesj-1390	121	19	based	base	VERB
cuesj-1390	121	20	model	model	NOUN
cuesj-1390	121	21	for	for	ADP
cuesj-1390	121	22	medical	medical	ADJ
cuesj-1390	121	23	diagnosis	diagnosis	NOUN
cuesj-1390	121	24	.	.	PUNCT
cuesj-1390	122	1	this	this	PRON
cuesj-1390	122	2	can	can	AUX
cuesj-1390	122	3	be	be	AUX
cuesj-1390	122	4	interpreted	interpret	VERB
cuesj-1390	122	5	that	that	SCONJ
cuesj-1390	122	6	the	the	DET
cuesj-1390	122	7	polynomial	polynomial	ADJ
cuesj-1390	122	8	kernel	kernel	NOUN
cuesj-1390	122	9	captured	capture	VERB
cuesj-1390	122	10	non	non	ADJ
cuesj-1390	122	11	-	-	ADJ
cuesj-1390	122	12	linear	linear	ADJ
cuesj-1390	122	13	patterns	pattern	NOUN
cuesj-1390	122	14	with	with	ADP
cuesj-1390	122	15	complexity	complexity	NOUN
cuesj-1390	122	16	,	,	PUNCT
cuesj-1390	122	17	therefore	therefore	ADV
cuesj-1390	122	18	finer	fine	ADJ
cuesj-1390	122	19	discrimination	discrimination	NOUN
cuesj-1390	122	20	of	of	ADP
cuesj-1390	122	21	benign	benign	ADJ
cuesj-1390	122	22	and	and	CCONJ
cuesj-1390	122	23	malignant	malignant	ADJ
cuesj-1390	122	24	tumors	tumor	NOUN
cuesj-1390	122	25	was	be	AUX
cuesj-1390	122	26	allowed	allow	VERB
cuesj-1390	122	27	.	.	PUNCT
cuesj-1390	123	1	the	the	DET
cuesj-1390	123	2	higher	high	ADJ
cuesj-1390	123	3	auc	auc	NOUN
cuesj-1390	123	4	and	and	CCONJ
cuesj-1390	123	5	specificity	specificity	NOUN
cuesj-1390	123	6	in	in	ADP
cuesj-1390	123	7	the	the	DET
cuesj-1390	123	8	medical	medical	ADJ
cuesj-1390	123	9	context	context	NOUN
cuesj-1390	123	10	mean	mean	VERB
cuesj-1390	123	11	the	the	DET
cuesj-1390	123	12	reduction	reduction	NOUN
cuesj-1390	123	13	of	of	ADP
cuesj-1390	123	14	the	the	DET
cuesj-1390	123	15	number	number	NOUN
cuesj-1390	123	16	of	of	ADP
cuesj-1390	123	17	false	false	ADJ
cuesj-1390	123	18	negatives	negative	NOUN
cuesj-1390	123	19	for	for	ADP
cuesj-1390	123	20	early	early	ADJ
cuesj-1390	123	21	and	and	CCONJ
cuesj-1390	123	22	correct	correct	ADJ
cuesj-1390	123	23	diagnosis	diagnosis	NOUN
cuesj-1390	123	24	.	.	PUNCT
cuesj-1390	124	1	these	these	DET
cuesj-1390	124	2	study	study	NOUN
cuesj-1390	124	3	findings	finding	NOUN
cuesj-1390	124	4	also	also	ADV
cuesj-1390	124	5	provide	provide	VERB
cuesj-1390	124	6	the	the	DET
cuesj-1390	124	7	basis	basis	NOUN
cuesj-1390	124	8	for	for	ADP
cuesj-1390	124	9	the	the	DET
cuesj-1390	124	10	optimum	optimum	ADJ
cuesj-1390	124	11	performance	performance	NOUN
cuesj-1390	124	12	of	of	ADP
cuesj-1390	124	13	svm	svm	ADJ
cuesj-1390	124	14	models	model	NOUN
cuesj-1390	124	15	in	in	ADP
cuesj-1390	124	16	breast	breast	NOUN
cuesj-1390	124	17	cancer	cancer	NOUN
cuesj-1390	124	18	datasets	dataset	NOUN
cuesj-1390	124	19	.	.	PUNCT
cuesj-1390	125	1	it	it	PRON
cuesj-1390	125	2	is	be	AUX
cuesj-1390	125	3	important	important	ADJ
cuesj-1390	125	4	to	to	PART
cuesj-1390	125	5	contribute	contribute	VERB
cuesj-1390	125	6	to	to	ADP
cuesj-1390	125	7	the	the	DET
cuesj-1390	125	8	formation	formation	NOUN
cuesj-1390	125	9	of	of	ADP
cuesj-1390	125	10	a	a	DET
cuesj-1390	125	11	basis	basis	NOUN
cuesj-1390	125	12	upon	upon	SCONJ
cuesj-1390	125	13	which	which	PRON
cuesj-1390	125	14	future	future	ADJ
cuesj-1390	125	15	studies	study	NOUN
cuesj-1390	125	16	can	can	AUX
cuesj-1390	125	17	be	be	AUX
cuesj-1390	125	18	conducted	conduct	VERB
cuesj-1390	125	19	based	base	VERB
cuesj-1390	125	20	on	on	ADP
cuesj-1390	125	21	these	these	DET
cuesj-1390	125	22	results	result	NOUN
cuesj-1390	125	23	with	with	ADP
cuesj-1390	125	24	other	other	ADJ
cuesj-1390	125	25	datasets	dataset	NOUN
cuesj-1390	125	26	of	of	ADP
cuesj-1390	125	27	breast	breast	NOUN
cuesj-1390	125	28	cancer	cancer	NOUN
cuesj-1390	125	29	using	use	VERB
cuesj-1390	125	30	different	different	ADJ
cuesj-1390	125	31	machinelearning	machinelearning	NOUN
cuesj-1390	125	32	methods	method	NOUN
cuesj-1390	125	33	.	.	PUNCT
cuesj-1390	126	1	in	in	ADP
cuesj-1390	126	2	general	general	ADJ
cuesj-1390	126	3	,	,	PUNCT
cuesj-1390	126	4	the	the	DET
cuesj-1390	126	5	study	study	NOUN
cuesj-1390	126	6	postulates	postulate	VERB
cuesj-1390	126	7	that	that	SCONJ
cuesj-1390	126	8	a	a	DET
cuesj-1390	126	9	polynomial	polynomial	ADJ
cuesj-1390	126	10	kernel	kernel	NOUN
cuesj-1390	126	11	represents	represent	VERB
cuesj-1390	126	12	an	an	DET
cuesj-1390	126	13	important	important	ADJ
cuesj-1390	126	14	step	step	NOUN
cuesj-1390	126	15	forward	forward	ADV
cuesj-1390	126	16	in	in	ADP
cuesj-1390	126	17	machine	machine	NOUN
cuesj-1390	126	18	learning	learn	VERB
cuesj-1390	126	19	toward	toward	ADP
cuesj-1390	126	20	developing	develop	VERB
cuesj-1390	126	21	effective	effective	ADJ
cuesj-1390	126	22	models	model	NOUN
cuesj-1390	126	23	for	for	ADP
cuesj-1390	126	24	the	the	DET
cuesj-1390	126	25	detection	detection	NOUN
cuesj-1390	126	26	of	of	ADP
cuesj-1390	126	27	breast	breast	NOUN
cuesj-1390	126	28	cancer	cancer	NOUN
cuesj-1390	126	29	with	with	ADP
cuesj-1390	126	30	the	the	DET
cuesj-1390	126	31	ultimate	ultimate	ADJ
cuesj-1390	126	32	goal	goal	NOUN
cuesj-1390	126	33	of	of	ADP
cuesj-1390	126	34	improving	improve	VERB
cuesj-1390	126	35	both	both	CCONJ
cuesj-1390	126	36	the	the	DET
cuesj-1390	126	37	care	care	NOUN
cuesj-1390	126	38	as	as	ADV
cuesj-1390	126	39	well	well	ADV
cuesj-1390	126	40	as	as	ADP
cuesj-1390	126	41	the	the	DET
cuesj-1390	126	42	outcomes	outcome	NOUN
cuesj-1390	126	43	of	of	ADP
cuesj-1390	126	44	the	the	DET
cuesj-1390	126	45	patients	patient	NOUN
cuesj-1390	126	46	.	.	PUNCT
cuesj-1390	127	1	figure	figure	VERB
cuesj-1390	127	2	1	1	NUM
cuesj-1390	127	3	:	:	PUNCT
cuesj-1390	127	4	area	area	NOUN
cuesj-1390	127	5	under	under	ADP
cuesj-1390	127	6	the	the	DET
cuesj-1390	127	7	curve	curve	NOUN
cuesj-1390	127	8	for	for	ADP
cuesj-1390	127	9	each	each	DET
cuesj-1390	127	10	kernel	kernel	NOUN
cuesj-1390	127	11	function	function	NOUN
cuesj-1390	127	12	of	of	ADP
cuesj-1390	127	13	(	(	PUNCT
cuesj-1390	127	14	polynomial	polynomial	ADJ
cuesj-1390	127	15	,	,	PUNCT
cuesj-1390	127	16	linear	linear	ADJ
cuesj-1390	127	17	,	,	PUNCT
cuesj-1390	127	18	and	and	CCONJ
cuesj-1390	127	19	radial	radial	ADJ
cuesj-1390	127	20	basis	basis	NOUN
cuesj-1390	127	21	function	function	NOUN
cuesj-1390	127	22	)	)	PUNCT
cuesj-1390	127	23	salih	salih	PROPN
cuesj-1390	127	24	and	and	CCONJ
cuesj-1390	127	25	mahmood	mahmood	PROPN
cuesj-1390	127	26	:	:	PUNCT
cuesj-1390	127	27	svm	svm	PROPN
cuesj-1390	127	28	kernel	kernel	PROPN
cuesj-1390	127	29	functions	function	NOUN
cuesj-1390	127	30	for	for	ADP
cuesj-1390	127	31	breast	breast	NOUN
cuesj-1390	127	32	cancer	cancer	NOUN
cuesj-1390	127	33	classification	classification	NOUN
cuesj-1390	127	34	46	46	NUM
cuesj-1390	127	35	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1390	127	36	cuesj	cuesj	NOUN
cuesj-1390	127	37	2025	2025	NUM
cuesj-1390	127	38	,	,	PUNCT
cuesj-1390	127	39	9	9	NUM
cuesj-1390	127	40	(	(	PUNCT
cuesj-1390	127	41	1	1	NUM
cuesj-1390	127	42	):	):	PUNCT
cuesj-1390	127	43	41	41	NUM
cuesj-1390	127	44	-	-	SYM
cuesj-1390	127	45	46	46	NUM
cuesj-1390	127	46	references	reference	NOUN
cuesj-1390	127	47	1	1	NUM
cuesj-1390	127	48	.	.	PUNCT
cuesj-1390	127	49	a.	a.	NOUN
cuesj-1390	127	50	roheel	roheel	NOUN
cuesj-1390	127	51	,	,	PUNCT
cuesj-1390	127	52	a.	a.	PROPN
cuesj-1390	127	53	khan	khan	PROPN
cuesj-1390	127	54	,	,	PUNCT
cuesj-1390	127	55	f.	f.	PROPN
cuesj-1390	127	56	anwar	anwar	PROPN
cuesj-1390	127	57	,	,	PUNCT
cuesj-1390	127	58	z.	z.	PROPN
cuesj-1390	127	59	akbar	akbar	PROPN
cuesj-1390	127	60	,	,	PUNCT
cuesj-1390	127	61	m.	m.	PROPN
cuesj-1390	127	62	f.	f.	PROPN
cuesj-1390	127	63	akhtar	akhtar	PROPN
cuesj-1390	127	64	,	,	PUNCT
cuesj-1390	127	65	m.	m.	NOUN
cuesj-1390	127	66	i.	i.	PROPN
cuesj-1390	127	67	khan	khan	PROPN
cuesj-1390	127	68	,	,	PUNCT
cuesj-1390	127	69	m.	m.	PROPN
cuesj-1390	127	70	f.	f.	PROPN
cuesj-1390	127	71	sohail	sohail	PROPN
cuesj-1390	127	72	and	and	CCONJ
cuesj-1390	127	73	r.	r.	PROPN
cuesj-1390	127	74	ahmad	ahmad	PROPN
cuesj-1390	127	75	.	.	PUNCT
cuesj-1390	128	1	global	global	ADJ
cuesj-1390	128	2	epidemiology	epidemiology	NOUN
cuesj-1390	128	3	of	of	ADP
cuesj-1390	128	4	breast	breast	NOUN
cuesj-1390	128	5	cancer	cancer	NOUN
cuesj-1390	128	6	based	base	VERB
cuesj-1390	128	7	on	on	ADP
cuesj-1390	128	8	risk	risk	NOUN
cuesj-1390	128	9	factors	factor	NOUN
cuesj-1390	128	10	:	:	PUNCT
cuesj-1390	128	11	a	a	DET
cuesj-1390	128	12	systematic	systematic	ADJ
cuesj-1390	128	13	review	review	NOUN
cuesj-1390	128	14	.	.	PUNCT
cuesj-1390	129	1	frontiers	frontier	NOUN
cuesj-1390	129	2	in	in	ADP
cuesj-1390	129	3	oncology	oncology	NOUN
cuesj-1390	129	4	,	,	PUNCT
cuesj-1390	129	5	vol	vol	NOUN
cuesj-1390	129	6	.	.	PROPN
cuesj-1390	129	7	13	13	NUM
cuesj-1390	129	8	,	,	PUNCT
cuesj-1390	129	9	p.	p.	NOUN
cuesj-1390	129	10	1240098	1240098	NUM
cuesj-1390	129	11	,	,	PUNCT
cuesj-1390	129	12	2023	2023	NUM
cuesj-1390	129	13	.	.	PUNCT
cuesj-1390	130	1	2	2	NUM
cuesj-1390	130	2	.	.	X
cuesj-1390	130	3	k.	k.	PROPN
cuesj-1390	130	4	hashimoto	hashimoto	PROPN
cuesj-1390	130	5	,	,	PUNCT
cuesj-1390	130	6	s.	s.	PROPN
cuesj-1390	130	7	nishimura	nishimura	PROPN
cuesj-1390	130	8	,	,	PUNCT
cuesj-1390	130	9	t.	t.	PROPN
cuesj-1390	130	10	ito	ito	PROPN
cuesj-1390	130	11	,	,	PUNCT
cuesj-1390	130	12	n.	n.	PROPN
cuesj-1390	130	13	oka	oka	PROPN
cuesj-1390	130	14	and	and	CCONJ
cuesj-1390	130	15	m.	m.	PROPN
cuesj-1390	130	16	akagi	akagi	PROPN
cuesj-1390	130	17	.	.	PUNCT
cuesj-1390	131	1	limitations	limitation	NOUN
cuesj-1390	131	2	and	and	CCONJ
cuesj-1390	131	3	usefulness	usefulness	NOUN
cuesj-1390	131	4	of	of	ADP
cuesj-1390	131	5	biopsy	biopsy	NOUN
cuesj-1390	131	6	techniques	technique	NOUN
cuesj-1390	131	7	for	for	ADP
cuesj-1390	131	8	the	the	DET
cuesj-1390	131	9	diagnosis	diagnosis	NOUN
cuesj-1390	131	10	of	of	ADP
cuesj-1390	131	11	metastatic	metastatic	ADJ
cuesj-1390	131	12	bone	bone	NOUN
cuesj-1390	131	13	and	and	CCONJ
cuesj-1390	131	14	soft	soft	ADJ
cuesj-1390	131	15	tissue	tissue	NOUN
cuesj-1390	131	16	tumors	tumor	NOUN
cuesj-1390	131	17	.	.	PUNCT
cuesj-1390	132	1	annals	annal	NOUN
cuesj-1390	132	2	of	of	ADP
cuesj-1390	132	3	medicine	medicine	NOUN
cuesj-1390	132	4	and	and	CCONJ
cuesj-1390	132	5	surgery	surgery	NOUN
cuesj-1390	132	6	,	,	PUNCT
cuesj-1390	132	7	vol	vol	NOUN
cuesj-1390	132	8	.	.	PROPN
cuesj-1390	132	9	68	68	NUM
cuesj-1390	132	10	,	,	PUNCT
cuesj-1390	132	11	p.	p.	NOUN
cuesj-1390	132	12	102581	102581	NUM
cuesj-1390	132	13	,	,	PUNCT
cuesj-1390	132	14	2021	2021	NUM
cuesj-1390	132	15	.	.	PUNCT
cuesj-1390	133	1	3	3	X
cuesj-1390	133	2	.	.	PUNCT
cuesj-1390	133	3	a.	a.	NOUN
cuesj-1390	133	4	schmidt	schmidt	PROPN
cuesj-1390	133	5	,	,	PUNCT
cuesj-1390	133	6	p.	p.	PROPN
cuesj-1390	133	7	morales	morales	PROPN
cuesj-1390	133	8	-	-	PUNCT
cuesj-1390	133	9	alvarez	alvarez	PROPN
cuesj-1390	133	10	and	and	CCONJ
cuesj-1390	133	11	r.	r.	PROPN
cuesj-1390	133	12	molina	molina	PROPN
cuesj-1390	133	13	.	.	PUNCT
cuesj-1390	134	1	probabilistic	probabilistic	ADJ
cuesj-1390	134	2	modeling	modeling	NOUN
cuesj-1390	134	3	of	of	ADP
cuesj-1390	134	4	inter	inter	ADJ
cuesj-1390	134	5	-	-	ADJ
cuesj-1390	134	6	and	and	CCONJ
cuesj-1390	134	7	intra	intra	ADJ
cuesj-1390	134	8	-	-	ADJ
cuesj-1390	134	9	observer	observer	ADJ
cuesj-1390	134	10	variability	variability	NOUN
cuesj-1390	134	11	in	in	ADP
cuesj-1390	134	12	medical	medical	ADJ
cuesj-1390	134	13	image	image	NOUN
cuesj-1390	134	14	segmentation	segmentation	NOUN
cuesj-1390	134	15	.	.	PUNCT
cuesj-1390	135	1	in	in	ADP
cuesj-1390	135	2	:	:	PUNCT
cuesj-1390	135	3	proceedings	proceeding	NOUN
cuesj-1390	135	4	of	of	ADP
cuesj-1390	135	5	the	the	DET
cuesj-1390	135	6	ieee	ieee	NOUN
cuesj-1390	135	7	/	/	SYM
cuesj-1390	135	8	cvf	cvf	NOUN
cuesj-1390	135	9	international	international	ADJ
cuesj-1390	135	10	conference	conference	NOUN
cuesj-1390	135	11	on	on	ADP
cuesj-1390	135	12	computer	computer	NOUN
cuesj-1390	135	13	vision	vision	NOUN
cuesj-1390	135	14	,	,	PUNCT
cuesj-1390	135	15	pp	pp	ADP
cuesj-1390	135	16	.	.	PUNCT
cuesj-1390	136	1	21097	21097	NUM
cuesj-1390	136	2	-	-	SYM
cuesj-1390	136	3	21106	21106	NUM
cuesj-1390	136	4	,	,	PUNCT
cuesj-1390	136	5	2023	2023	NUM
cuesj-1390	136	6	.	.	PUNCT
cuesj-1390	137	1	4	4	X
cuesj-1390	137	2	.	.	X
cuesj-1390	137	3	m.	m.	NOUN
cuesj-1390	137	4	m.	m.	PROPN
cuesj-1390	137	5	ahsan	ahsan	PROPN
cuesj-1390	137	6	,	,	PUNCT
cuesj-1390	137	7	s.	s.	PROPN
cuesj-1390	137	8	a.	a.	PROPN
cuesj-1390	137	9	luna	luna	PROPN
cuesj-1390	137	10	and	and	CCONJ
cuesj-1390	137	11	z.	z.	PROPN
cuesj-1390	137	12	siddique	siddique	PROPN
cuesj-1390	137	13	.	.	PUNCT
cuesj-1390	138	1	machine	machine	NOUN
cuesj-1390	138	2	-	-	PUNCT
cuesj-1390	138	3	learning	learning	NOUN
cuesj-1390	138	4	-	-	PUNCT
cuesj-1390	138	5	based	base	VERB
cuesj-1390	138	6	disease	disease	NOUN
cuesj-1390	138	7	diagnosis	diagnosis	NOUN
cuesj-1390	138	8	:	:	PUNCT
cuesj-1390	138	9	a	a	DET
cuesj-1390	138	10	comprehensive	comprehensive	ADJ
cuesj-1390	138	11	review	review	NOUN
cuesj-1390	138	12	.	.	PUNCT
cuesj-1390	139	1	healthcare	healthcare	PROPN
cuesj-1390	139	2	(	(	PUNCT
cuesj-1390	139	3	basel	basel	PROPN
cuesj-1390	139	4	)	)	PUNCT
cuesj-1390	139	5	,	,	PUNCT
cuesj-1390	139	6	vol	vol	NOUN
cuesj-1390	139	7	.	.	PROPN
cuesj-1390	139	8	10	10	NUM
cuesj-1390	139	9	,	,	PUNCT
cuesj-1390	139	10	p.	p.	NOUN
cuesj-1390	139	11	541	541	NUM
cuesj-1390	139	12	,	,	PUNCT
cuesj-1390	139	13	2022	2022	NUM
cuesj-1390	139	14	.	.	PUNCT
cuesj-1390	140	1	5	5	NUM
cuesj-1390	140	2	.	.	X
cuesj-1390	140	3	d.	d.	PROPN
cuesj-1390	140	4	virmani	virmani	PROPN
cuesj-1390	140	5	and	and	CCONJ
cuesj-1390	140	6	h.	h.	PROPN
cuesj-1390	140	7	pande	pande	PROPN
cuesj-1390	140	8	.	.	PUNCT
cuesj-1390	141	1	comparative	comparative	ADJ
cuesj-1390	141	2	analysis	analysis	NOUN
cuesj-1390	141	3	on	on	ADP
cuesj-1390	141	4	effect	effect	NOUN
cuesj-1390	141	5	of	of	ADP
cuesj-1390	141	6	different	different	ADJ
cuesj-1390	141	7	svm	svm	ADJ
cuesj-1390	141	8	kernel	kernel	NOUN
cuesj-1390	141	9	functions	function	NOUN
cuesj-1390	141	10	for	for	ADP
cuesj-1390	141	11	classification	classification	NOUN
cuesj-1390	141	12	.	.	PUNCT
cuesj-1390	142	1	in	in	ADP
cuesj-1390	142	2	:	:	PUNCT
cuesj-1390	142	3	international	international	ADJ
cuesj-1390	142	4	conference	conference	NOUN
cuesj-1390	142	5	on	on	ADP
cuesj-1390	142	6	innovative	innovative	ADJ
cuesj-1390	142	7	computing	computing	NOUN
cuesj-1390	142	8	and	and	CCONJ
cuesj-1390	142	9	communications	communication	NOUN
cuesj-1390	142	10	:	:	PUNCT
cuesj-1390	142	11	proceedings	proceeding	NOUN
cuesj-1390	142	12	of	of	ADP
cuesj-1390	142	13	icicc	icicc	NOUN
cuesj-1390	142	14	2022	2022	NUM
cuesj-1390	142	15	.	.	PUNCT
cuesj-1390	142	16	vol	vol	NOUN
cuesj-1390	142	17	.	.	PROPN
cuesj-1390	142	18	3	3	NUM
cuesj-1390	142	19	.	.	X
cuesj-1390	142	20	springer	springer	NOUN
cuesj-1390	142	21	,	,	PUNCT
cuesj-1390	142	22	cham	cham	PROPN
cuesj-1390	142	23	,	,	PUNCT
cuesj-1390	142	24	pp	pp	X
cuesj-1390	142	25	.	.	PUNCT
cuesj-1390	143	1	657	657	NUM
cuesj-1390	143	2	-	-	SYM
cuesj-1390	143	3	670	670	NUM
cuesj-1390	143	4	,	,	PUNCT
cuesj-1390	143	5	2022	2022	NUM
cuesj-1390	143	6	.	.	PUNCT
cuesj-1390	144	1	6	6	NUM
cuesj-1390	144	2	.	.	X
cuesj-1390	144	3	l.	l.	PROPN
cuesj-1390	144	4	j.	j.	PROPN
cuesj-1390	144	5	grimm	grimm	PROPN
cuesj-1390	144	6	and	and	CCONJ
cuesj-1390	144	7	m.	m.	NOUN
cuesj-1390	144	8	a.	a.	PROPN
cuesj-1390	144	9	mazurowski	mazurowski	PROPN
cuesj-1390	144	10	.	.	PUNCT
cuesj-1390	145	1	breast	breast	NOUN
cuesj-1390	145	2	cancer	cancer	NOUN
cuesj-1390	145	3	radiogenomics	radiogenomic	NOUN
cuesj-1390	145	4	:	:	PUNCT
cuesj-1390	145	5	current	current	ADJ
cuesj-1390	145	6	status	status	NOUN
cuesj-1390	145	7	and	and	CCONJ
cuesj-1390	145	8	future	future	ADJ
cuesj-1390	145	9	directions	direction	NOUN
cuesj-1390	145	10	.	.	PUNCT
cuesj-1390	146	1	academic	academic	ADJ
cuesj-1390	146	2	radiology	radiology	NOUN
cuesj-1390	146	3	,	,	PUNCT
cuesj-1390	146	4	vol	vol	NOUN
cuesj-1390	146	5	.	.	PROPN
cuesj-1390	146	6	27	27	NUM
cuesj-1390	146	7	,	,	PUNCT
cuesj-1390	146	8	no	no	INTJ
cuesj-1390	146	9	.	.	NOUN
cuesj-1390	146	10	1	1	NUM
cuesj-1390	146	11	,	,	PUNCT
cuesj-1390	146	12	pp	pp	ADJ
cuesj-1390	146	13	.	.	PUNCT
cuesj-1390	147	1	39	39	NUM
cuesj-1390	147	2	-	-	SYM
cuesj-1390	147	3	46	46	NUM
cuesj-1390	147	4	,	,	PUNCT
cuesj-1390	147	5	2020	2020	NUM
cuesj-1390	147	6	.	.	PUNCT
cuesj-1390	148	1	7	7	X
cuesj-1390	148	2	.	.	PUNCT
cuesj-1390	148	3	a.	a.	PROPN
cuesj-1390	148	4	s.	s.	PROPN
cuesj-1390	148	5	rana	rana	PROPN
cuesj-1390	148	6	,	,	PUNCT
cuesj-1390	148	7	j.	j.	PROPN
cuesj-1390	148	8	rafique	rafique	PROPN
cuesj-1390	148	9	and	and	CCONJ
cuesj-1390	148	10	h.	h.	PROPN
cuesj-1390	148	11	riffat	riffat	PROPN
cuesj-1390	148	12	.	.	PUNCT
cuesj-1390	149	1	advances	advance	NOUN
cuesj-1390	149	2	in	in	ADP
cuesj-1390	149	3	breast	breast	NOUN
cuesj-1390	149	4	ultrasound	ultrasound	NOUN
cuesj-1390	149	5	imaging	imaging	PROPN
cuesj-1390	149	6	:	:	PUNCT
cuesj-1390	149	7	enhancing	enhance	VERB
cuesj-1390	149	8	diagnostic	diagnostic	ADJ
cuesj-1390	149	9	precision	precision	NOUN
cuesj-1390	149	10	and	and	CCONJ
cuesj-1390	149	11	clinical	clinical	ADJ
cuesj-1390	149	12	utility	utility	NOUN
cuesj-1390	149	13	.	.	PUNCT
cuesj-1390	150	1	intechopen	intechopen	ADJ
cuesj-1390	150	2	,	,	PUNCT
cuesj-1390	150	3	london	london	PROPN
cuesj-1390	150	4	,	,	PUNCT
cuesj-1390	150	5	2024	2024	NUM
cuesj-1390	150	6	.	.	PUNCT
cuesj-1390	151	1	8	8	NUM
cuesj-1390	151	2	.	.	PUNCT
cuesj-1390	151	3	j.	j.	PROPN
cuesj-1390	151	4	h.	h.	PROPN
cuesj-1390	151	5	catani	catani	PROPN
cuesj-1390	151	6	,	,	PUNCT
cuesj-1390	151	7	r.	r.	PROPN
cuesj-1390	151	8	matsumoto	matsumoto	PROPN
cuesj-1390	151	9	,	,	PUNCT
cuesj-1390	151	10	f.	f.	PROPN
cuesj-1390	151	11	horigome	horigome	PROPN
cuesj-1390	151	12	,	,	PUNCT
cuesj-1390	151	13	t.	t.	PROPN
cuesj-1390	151	14	tucunduva	tucunduva	PROPN
cuesj-1390	151	15	,	,	PUNCT
cuesj-1390	151	16	m.	m.	NOUN
cuesj-1390	151	17	costenaro	costenaro	NOUN
cuesj-1390	151	18	and	and	CCONJ
cuesj-1390	151	19	n.	n.	PROPN
cuesj-1390	151	20	de	de	PROPN
cuesj-1390	151	21	barros	barros	PROPN
cuesj-1390	151	22	.	.	PUNCT
cuesj-1390	152	1	a	a	DET
cuesj-1390	152	2	pictorial	pictorial	ADJ
cuesj-1390	152	3	review	review	NOUN
cuesj-1390	152	4	of	of	ADP
cuesj-1390	152	5	breast	breast	NOUN
cuesj-1390	152	6	biopsy	biopsy	NOUN
cuesj-1390	152	7	complications	complication	NOUN
cuesj-1390	152	8	.	.	PUNCT
cuesj-1390	153	1	in	in	ADP
cuesj-1390	153	2	:	:	PUNCT
cuesj-1390	153	3	2017	2017	NUM
cuesj-1390	153	4	:	:	PUNCT
cuesj-1390	153	5	european	european	PROPN
cuesj-1390	153	6	congress	congress	PROPN
cuesj-1390	153	7	of	of	ADP
cuesj-1390	153	8	radiologyecr	radiologyecr	NOUN
cuesj-1390	153	9	,	,	PUNCT
cuesj-1390	153	10	2017	2017	NUM
cuesj-1390	153	11	.	.	PUNCT
cuesj-1390	153	12	9	9	X
cuesj-1390	153	13	.	.	PUNCT
cuesj-1390	153	14	j.	j.	PROPN
cuesj-1390	153	15	chen	chen	PROPN
cuesj-1390	153	16	,	,	PUNCT
cuesj-1390	153	17	z.	z.	PROPN
cuesj-1390	153	18	gandomkar	gandomkar	PROPN
cuesj-1390	153	19	and	and	CCONJ
cuesj-1390	153	20	w.	w.	PROPN
cuesj-1390	153	21	m.	m.	PROPN
cuesj-1390	153	22	reed	reed	PROPN
cuesj-1390	153	23	.	.	PUNCT
cuesj-1390	154	1	investigating	investigate	VERB
cuesj-1390	154	2	the	the	DET
cuesj-1390	154	3	impact	impact	NOUN
cuesj-1390	154	4	of	of	ADP
cuesj-1390	154	5	cognitive	cognitive	ADJ
cuesj-1390	154	6	biases	bias	NOUN
cuesj-1390	154	7	in	in	ADP
cuesj-1390	154	8	radiologists	radiologist	NOUN
cuesj-1390	154	9	’	'	PUNCT
cuesj-1390	154	10	image	image	NOUN
cuesj-1390	154	11	interpretation	interpretation	NOUN
cuesj-1390	154	12	:	:	PUNCT
cuesj-1390	154	13	a	a	DET
cuesj-1390	154	14	scoping	scope	VERB
cuesj-1390	154	15	review	review	NOUN
cuesj-1390	154	16	.	.	PUNCT
cuesj-1390	155	1	european	european	PROPN
cuesj-1390	155	2	journal	journal	PROPN
cuesj-1390	155	3	of	of	ADP
cuesj-1390	155	4	radiology	radiology	NOUN
cuesj-1390	155	5	,	,	PUNCT
cuesj-1390	155	6	vol	vol	NOUN
cuesj-1390	155	7	.	.	PROPN
cuesj-1390	155	8	166	166	NUM
cuesj-1390	155	9	,	,	PUNCT
cuesj-1390	155	10	p.	p.	NOUN
cuesj-1390	155	11	111013	111013	NUM
cuesj-1390	155	12	,	,	PUNCT
cuesj-1390	155	13	2023	2023	NUM
cuesj-1390	155	14	.	.	PUNCT
cuesj-1390	156	1	10	10	NUM
cuesj-1390	156	2	.	.	PUNCT
cuesj-1390	156	3	r.	r.	PROPN
cuesj-1390	156	4	m.	m.	PROPN
cuesj-1390	156	5	al	al	PROPN
cuesj-1390	156	6	-	-	PUNCT
cuesj-1390	156	7	tam	tam	PROPN
cuesj-1390	156	8	and	and	CCONJ
cuesj-1390	156	9	s.	s.	PROPN
cuesj-1390	156	10	m.	m.	PROPN
cuesj-1390	156	11	narangale	narangale	PROPN
cuesj-1390	156	12	.	.	PUNCT
cuesj-1390	157	1	breast	breast	NOUN
cuesj-1390	157	2	cancer	cancer	NOUN
cuesj-1390	157	3	detection	detection	NOUN
cuesj-1390	157	4	and	and	CCONJ
cuesj-1390	157	5	diagnosis	diagnosis	NOUN
cuesj-1390	157	6	using	use	VERB
cuesj-1390	157	7	machine	machine	NOUN
cuesj-1390	157	8	learning	learning	NOUN
cuesj-1390	157	9	:	:	PUNCT
cuesj-1390	157	10	a	a	DET
cuesj-1390	157	11	survey	survey	NOUN
cuesj-1390	157	12	.	.	PUNCT
cuesj-1390	158	1	journal	journal	NOUN
cuesj-1390	158	2	of	of	ADP
cuesj-1390	158	3	scientific	scientific	ADJ
cuesj-1390	158	4	research	research	NOUN
cuesj-1390	158	5	,	,	PUNCT
cuesj-1390	158	6	vol	vol	NOUN
cuesj-1390	158	7	.	.	PROPN
cuesj-1390	158	8	65	65	NUM
cuesj-1390	158	9	,	,	PUNCT
cuesj-1390	158	10	no	no	INTJ
cuesj-1390	158	11	.	.	NOUN
cuesj-1390	158	12	5	5	NUM
cuesj-1390	158	13	,	,	PUNCT
cuesj-1390	158	14	pp	pp	ADJ
cuesj-1390	158	15	.	.	PUNCT
cuesj-1390	159	1	265	265	NUM
cuesj-1390	159	2	-	-	SYM
cuesj-1390	159	3	285	285	NUM
cuesj-1390	159	4	,	,	PUNCT
cuesj-1390	159	5	2021	2021	NUM
cuesj-1390	159	6	.	.	PUNCT
cuesj-1390	160	1	11	11	NUM
cuesj-1390	160	2	.	.	PUNCT
cuesj-1390	160	3	a.	a.	PROPN
cuesj-1390	160	4	b.	b.	PROPN
cuesj-1390	160	5	yusuf	yusuf	PROPN
cuesj-1390	160	6	,	,	PUNCT
cuesj-1390	160	7	r.	r.	PROPN
cuesj-1390	160	8	m.	m.	PROPN
cuesj-1390	160	9	dima	dima	PROPN
cuesj-1390	160	10	and	and	CCONJ
cuesj-1390	160	11	s.	s.	PROPN
cuesj-1390	160	12	k.	k.	PROPN
cuesj-1390	160	13	aina	aina	PROPN
cuesj-1390	160	14	.	.	PROPN
cuesj-1390	160	15	optimized	optimize	VERB
cuesj-1390	160	16	breast	breast	NOUN
cuesj-1390	160	17	cancer	cancer	NOUN
cuesj-1390	160	18	classification	classification	NOUN
cuesj-1390	160	19	using	use	VERB
cuesj-1390	160	20	feature	feature	NOUN
cuesj-1390	160	21	selection	selection	NOUN
cuesj-1390	160	22	and	and	CCONJ
cuesj-1390	160	23	outliers	outlier	NOUN
cuesj-1390	160	24	detection	detection	NOUN
cuesj-1390	160	25	.	.	PUNCT
cuesj-1390	161	1	journal	journal	NOUN
cuesj-1390	161	2	of	of	ADP
cuesj-1390	161	3	the	the	DET
cuesj-1390	161	4	nigerian	nigerian	ADJ
cuesj-1390	161	5	society	society	NOUN
cuesj-1390	161	6	of	of	ADP
cuesj-1390	161	7	physical	physical	ADJ
cuesj-1390	161	8	sciences	science	NOUN
cuesj-1390	161	9	,	,	PUNCT
cuesj-1390	161	10	vol	vol	NOUN
cuesj-1390	161	11	.	.	PROPN
cuesj-1390	162	1	3	3	NUM
cuesj-1390	162	2	,	,	PUNCT
cuesj-1390	162	3	pp	pp	ADJ
cuesj-1390	162	4	.	.	PUNCT
cuesj-1390	163	1	298	298	NUM
cuesj-1390	163	2	-	-	SYM
cuesj-1390	163	3	307	307	NUM
cuesj-1390	163	4	,	,	PUNCT
cuesj-1390	163	5	2021	2021	NUM
cuesj-1390	163	6	.	.	PUNCT
cuesj-1390	164	1	12	12	NUM
cuesj-1390	164	2	.	.	PUNCT
cuesj-1390	165	1	d.	d.	PROPN
cuesj-1390	165	2	valkenborg	valkenborg	PROPN
cuesj-1390	165	3	,	,	PUNCT
cuesj-1390	165	4	a.	a.	PROPN
cuesj-1390	165	5	j.	j.	PROPN
cuesj-1390	165	6	rousseau	rousseau	PROPN
cuesj-1390	165	7	,	,	PUNCT
cuesj-1390	165	8	m.	m.	NOUN
cuesj-1390	165	9	geubbelmans	geubbelman	NOUN
cuesj-1390	165	10	and	and	CCONJ
cuesj-1390	165	11	t.	t.	PROPN
cuesj-1390	165	12	burzykowski	burzykowski	PROPN
cuesj-1390	165	13	.	.	PUNCT
cuesj-1390	166	1	support	support	NOUN
cuesj-1390	166	2	vector	vector	NOUN
cuesj-1390	166	3	machines	machine	NOUN
cuesj-1390	166	4	.	.	PUNCT
cuesj-1390	167	1	american	american	PROPN
cuesj-1390	167	2	journal	journal	PROPN
cuesj-1390	167	3	of	of	ADP
cuesj-1390	167	4	orthodontics	orthodontic	NOUN
cuesj-1390	167	5	and	and	CCONJ
cuesj-1390	167	6	dentofacial	dentofacial	ADJ
cuesj-1390	167	7	orthopedics	orthopedic	NOUN
cuesj-1390	167	8	,	,	PUNCT
cuesj-1390	167	9	vol	vol	NOUN
cuesj-1390	167	10	.	.	NOUN
cuesj-1390	167	11	164	164	NUM
cuesj-1390	167	12	,	,	PUNCT
cuesj-1390	167	13	no	no	INTJ
cuesj-1390	167	14	.	.	NOUN
cuesj-1390	167	15	5	5	NUM
cuesj-1390	167	16	,	,	PUNCT
cuesj-1390	167	17	pp	pp	ADJ
cuesj-1390	167	18	.	.	PUNCT
cuesj-1390	168	1	754	754	NUM
cuesj-1390	168	2	-	-	SYM
cuesj-1390	168	3	757	757	NOUN
cuesj-1390	168	4	,	,	PUNCT
cuesj-1390	168	5	2023	2023	NUM
cuesj-1390	168	6	.	.	PUNCT
cuesj-1390	169	1	13	13	NUM
cuesj-1390	169	2	.	.	PUNCT
cuesj-1390	169	3	m.	m.	PROPN
cuesj-1390	169	4	w.	w.	PROPN
cuesj-1390	169	5	huang	huang	PROPN
cuesj-1390	169	6	,	,	PUNCT
cuesj-1390	169	7	c.	c.	PROPN
cuesj-1390	169	8	w.	w.	PROPN
cuesj-1390	169	9	chen	chen	PROPN
cuesj-1390	169	10	,	,	PUNCT
cuesj-1390	169	11	w.	w.	PROPN
cuesj-1390	169	12	c.	c.	PROPN
cuesj-1390	169	13	lin	lin	PROPN
cuesj-1390	169	14	,	,	PUNCT
cuesj-1390	169	15	s.	s.	PROPN
cuesj-1390	169	16	w.	w.	PROPN
cuesj-1390	169	17	ke	ke	PROPN
cuesj-1390	169	18	and	and	CCONJ
cuesj-1390	169	19	c.	c.	PROPN
cuesj-1390	169	20	f.	f.	PROPN
cuesj-1390	169	21	tsai	tsai	PROPN
cuesj-1390	169	22	.	.	PUNCT
cuesj-1390	170	1	svm	svm	PROPN
cuesj-1390	170	2	and	and	CCONJ
cuesj-1390	170	3	svm	svm	ADJ
cuesj-1390	170	4	ensembles	ensemble	NOUN
cuesj-1390	170	5	in	in	ADP
cuesj-1390	170	6	breast	breast	NOUN
cuesj-1390	170	7	cancer	cancer	NOUN
cuesj-1390	170	8	prediction	prediction	NOUN
cuesj-1390	170	9	.	.	PUNCT
cuesj-1390	171	1	plos	plos	PROPN
cuesj-1390	171	2	one	one	NUM
cuesj-1390	171	3	,	,	PUNCT
cuesj-1390	171	4	vol	vol	NOUN
cuesj-1390	171	5	.	.	PROPN
cuesj-1390	171	6	12	12	NUM
cuesj-1390	171	7	,	,	PUNCT
cuesj-1390	171	8	no	no	INTJ
cuesj-1390	171	9	.	.	NOUN
cuesj-1390	171	10	1	1	NUM
cuesj-1390	171	11	,	,	PUNCT
cuesj-1390	171	12	p.	p.	NOUN
cuesj-1390	171	13	e0161501	e0161501	PROPN
cuesj-1390	171	14	,	,	PUNCT
cuesj-1390	171	15	2017	2017	NUM
cuesj-1390	171	16	.	.	PUNCT
cuesj-1390	172	1	14	14	NUM
cuesj-1390	172	2	.	.	PUNCT
cuesj-1390	173	1	s.	s.	PROPN
cuesj-1390	173	2	h.	h.	PROPN
cuesj-1390	173	3	hasanah	hasanah	PROPN
cuesj-1390	173	4	.	.	PUNCT
cuesj-1390	174	1	classification	classification	NOUN
cuesj-1390	174	2	support	support	NOUN
cuesj-1390	174	3	vector	vector	NOUN
cuesj-1390	174	4	machine	machine	NOUN
cuesj-1390	174	5	in	in	ADP
cuesj-1390	174	6	breast	breast	NOUN
cuesj-1390	174	7	cancer	cancer	NOUN
cuesj-1390	174	8	patients	patient	NOUN
cuesj-1390	174	9	.	.	PUNCT
cuesj-1390	175	1	barekeng	barekeng	NOUN
cuesj-1390	175	2	:	:	PUNCT
cuesj-1390	175	3	jurnal	jurnal	ADJ
cuesj-1390	175	4	ilmu	ilmu	PROPN
cuesj-1390	175	5	matematika	matematika	PROPN
cuesj-1390	175	6	dan	dan	PROPN
cuesj-1390	175	7	terapan	terapan	PROPN
cuesj-1390	175	8	,	,	PUNCT
cuesj-1390	175	9	vol	vol	NOUN
cuesj-1390	175	10	.	.	PROPN
cuesj-1390	176	1	16	16	NUM
cuesj-1390	176	2	,	,	PUNCT
cuesj-1390	176	3	no	no	INTJ
cuesj-1390	176	4	.	.	NOUN
cuesj-1390	176	5	1	1	NUM
cuesj-1390	176	6	,	,	PUNCT
cuesj-1390	176	7	pp	pp	ADJ
cuesj-1390	176	8	.	.	PUNCT
cuesj-1390	177	1	129	129	NUM
cuesj-1390	177	2	-	-	SYM
cuesj-1390	177	3	136	136	NUM
cuesj-1390	177	4	,	,	PUNCT
cuesj-1390	177	5	2022	2022	NUM
cuesj-1390	177	6	.	.	PUNCT
cuesj-1390	178	1	15	15	NUM
cuesj-1390	178	2	.	.	PUNCT
cuesj-1390	178	3	u.	u.	PROPN
cuesj-1390	178	4	a.	a.	PROPN
cuesj-1390	178	5	contardi	contardi	PROPN
cuesj-1390	178	6	,	,	PUNCT
cuesj-1390	178	7	p.	p.	PROPN
cuesj-1390	178	8	r.	r.	PROPN
cuesj-1390	178	9	scalassara	scalassara	PROPN
cuesj-1390	178	10	and	and	CCONJ
cuesj-1390	178	11	d.	d.	PROPN
cuesj-1390	178	12	v.	v.	PROPN
cuesj-1390	178	13	thomaz	thomaz	PROPN
cuesj-1390	178	14	.	.	PUNCT
cuesj-1390	179	1	benign	benign	ADJ
cuesj-1390	179	2	and	and	CCONJ
cuesj-1390	179	3	malign	malign	ADJ
cuesj-1390	179	4	breast	breast	NOUN
cuesj-1390	179	5	cancer	cancer	NOUN
cuesj-1390	179	6	classification	classification	NOUN
cuesj-1390	179	7	using	use	VERB
cuesj-1390	179	8	support	support	NOUN
cuesj-1390	179	9	vector	vector	NOUN
cuesj-1390	179	10	machines	machine	NOUN
cuesj-1390	179	11	optimised	optimise	VERB
cuesj-1390	179	12	with	with	ADP
cuesj-1390	179	13	particle	particle	NOUN
cuesj-1390	179	14	swarm	swarm	NOUN
cuesj-1390	179	15	and	and	CCONJ
cuesj-1390	179	16	genetic	genetic	ADJ
cuesj-1390	179	17	algorithms	algorithm	NOUN
cuesj-1390	179	18	.	.	PUNCT
cuesj-1390	180	1	learning	learning	NOUN
cuesj-1390	180	2	and	and	CCONJ
cuesj-1390	180	3	non	non	ADJ
cuesj-1390	180	4	-	-	ADJ
cuesj-1390	180	5	linear	linear	ADJ
cuesj-1390	180	6	models	model	NOUN
cuesj-1390	180	7	,	,	PUNCT
cuesj-1390	180	8	vol	vol	NOUN
cuesj-1390	180	9	.	.	PROPN
cuesj-1390	180	10	20	20	NUM
cuesj-1390	180	11	,	,	PUNCT
cuesj-1390	180	12	no	no	INTJ
cuesj-1390	180	13	.	.	NOUN
cuesj-1390	180	14	2	2	NUM
cuesj-1390	180	15	,	,	PUNCT
cuesj-1390	180	16	pp	pp	ADJ
cuesj-1390	180	17	.	.	PUNCT
cuesj-1390	181	1	21	21	NUM
cuesj-1390	181	2	-	-	SYM
cuesj-1390	181	3	23	23	NUM
cuesj-1390	181	4	,	,	PUNCT
cuesj-1390	181	5	2022	2022	NUM
cuesj-1390	181	6	.	.	PUNCT
cuesj-1390	182	1	16	16	NUM
cuesj-1390	182	2	.	.	PUNCT
cuesj-1390	182	3	a.	a.	NOUN
cuesj-1390	182	4	tharwat	tharwat	PROPN
cuesj-1390	182	5	.	.	PUNCT
cuesj-1390	183	1	parameter	parameter	PROPN
cuesj-1390	183	2	investigation	investigation	NOUN
cuesj-1390	183	3	of	of	ADP
cuesj-1390	183	4	support	support	NOUN
cuesj-1390	183	5	vector	vector	NOUN
cuesj-1390	183	6	machine	machine	NOUN
cuesj-1390	183	7	classifier	classifier	NOUN
cuesj-1390	183	8	with	with	ADP
cuesj-1390	183	9	kernel	kernel	PROPN
cuesj-1390	183	10	functions	function	NOUN
cuesj-1390	183	11	.	.	PUNCT
cuesj-1390	184	1	knowledge	knowledge	NOUN
cuesj-1390	184	2	and	and	CCONJ
cuesj-1390	184	3	information	information	NOUN
cuesj-1390	184	4	systems	system	NOUN
cuesj-1390	184	5	,	,	PUNCT
cuesj-1390	184	6	vol	vol	NOUN
cuesj-1390	184	7	.	.	PROPN
cuesj-1390	184	8	61	61	NUM
cuesj-1390	184	9	,	,	PUNCT
cuesj-1390	184	10	pp	pp	ADJ
cuesj-1390	184	11	.	.	PUNCT
cuesj-1390	185	1	1269	1269	NUM
cuesj-1390	185	2	-	-	SYM
cuesj-1390	185	3	1302	1302	NUM
cuesj-1390	185	4	,	,	PUNCT
cuesj-1390	185	5	2019	2019	NUM
cuesj-1390	185	6	.	.	PUNCT
cuesj-1390	186	1	17	17	NUM
cuesj-1390	186	2	.	.	PUNCT
cuesj-1390	186	3	g.	g.	PROPN
cuesj-1390	186	4	elefante	elefante	PROPN
cuesj-1390	186	5	,	,	PUNCT
cuesj-1390	186	6	w.	w.	PROPN
cuesj-1390	186	7	erb	erb	PROPN
cuesj-1390	186	8	,	,	PUNCT
cuesj-1390	186	9	f.	f.	PROPN
cuesj-1390	186	10	marchetti	marchetti	PROPN
cuesj-1390	186	11	,	,	PUNCT
cuesj-1390	186	12	e.	e.	PROPN
cuesj-1390	186	13	perracchione	perracchione	PROPN
cuesj-1390	186	14	,	,	PUNCT
cuesj-1390	186	15	d.	d.	PROPN
cuesj-1390	186	16	poggiali	poggiali	PROPN
cuesj-1390	186	17	and	and	CCONJ
cuesj-1390	186	18	g.	g.	PROPN
cuesj-1390	186	19	santin	santin	PROPN
cuesj-1390	186	20	.	.	PUNCT
cuesj-1390	187	1	interpolation	interpolation	NOUN
cuesj-1390	187	2	with	with	ADP
cuesj-1390	187	3	the	the	DET
cuesj-1390	187	4	polynomial	polynomial	ADJ
cuesj-1390	187	5	kernels	kernel	NOUN
cuesj-1390	187	6	.	.	PUNCT
cuesj-1390	188	1	arxiv	arxiv	PROPN
cuesj-1390	188	2	preprint	preprint	NOUN
cuesj-1390	188	3	arxiv:2212.07658	arxiv:2212.07658	ADP
cuesj-1390	188	4	,	,	PUNCT
cuesj-1390	188	5	2022	2022	NUM
cuesj-1390	188	6	.	.	PUNCT
cuesj-1390	189	1	18	18	NUM
cuesj-1390	189	2	.	.	PUNCT
cuesj-1390	189	3	l.	l.	PROPN
cuesj-1390	189	4	muflikhah	muflikhah	PROPN
cuesj-1390	189	5	and	and	CCONJ
cuesj-1390	189	6	d.	d.	PROPN
cuesj-1390	189	7	j.	j.	PROPN
cuesj-1390	189	8	haryanto	haryanto	PROPN
cuesj-1390	189	9	.	.	PUNCT
cuesj-1390	190	1	high	high	ADJ
cuesj-1390	190	2	performance	performance	NOUN
cuesj-1390	190	3	of	of	ADP
cuesj-1390	190	4	polynomial	polynomial	ADJ
cuesj-1390	190	5	kernel	kernel	NOUN
cuesj-1390	190	6	at	at	ADP
cuesj-1390	190	7	svm	svm	ADJ
cuesj-1390	190	8	algorithm	algorithm	NOUN
cuesj-1390	190	9	for	for	ADP
cuesj-1390	190	10	sentiment	sentiment	NOUN
cuesj-1390	190	11	analysis	analysis	NOUN
cuesj-1390	190	12	.	.	PUNCT
cuesj-1390	191	1	journal	journal	NOUN
cuesj-1390	191	2	of	of	ADP
cuesj-1390	191	3	information	information	NOUN
cuesj-1390	191	4	technology	technology	NOUN
cuesj-1390	191	5	and	and	CCONJ
cuesj-1390	191	6	computer	computer	NOUN
cuesj-1390	191	7	science	science	NOUN
cuesj-1390	191	8	,	,	PUNCT
cuesj-1390	191	9	vol	vol	NOUN
cuesj-1390	191	10	.	.	PROPN
cuesj-1390	192	1	3	3	NUM
cuesj-1390	192	2	,	,	PUNCT
cuesj-1390	192	3	no	no	INTJ
cuesj-1390	192	4	.	.	NOUN
cuesj-1390	192	5	2	2	NUM
cuesj-1390	192	6	,	,	PUNCT
cuesj-1390	192	7	pp	pp	ADJ
cuesj-1390	192	8	.	.	PUNCT
cuesj-1390	193	1	194	194	NUM
cuesj-1390	193	2	-	-	SYM
cuesj-1390	193	3	201	201	NUM
cuesj-1390	193	4	,	,	PUNCT
cuesj-1390	193	5	2018	2018	NUM
cuesj-1390	193	6	.	.	PUNCT
cuesj-1390	194	1	19	19	NUM
cuesj-1390	194	2	.	.	PUNCT
cuesj-1390	195	1	s.	s.	PROPN
cuesj-1390	195	2	p.	p.	PROPN
cuesj-1390	195	3	rana	rana	PROPN
cuesj-1390	195	4	,	,	PUNCT
cuesj-1390	195	5	m.	m.	PROPN
cuesj-1390	195	6	dey	dey	PROPN
cuesj-1390	195	7	,	,	PUNCT
cuesj-1390	195	8	r.	r.	PROPN
cuesj-1390	195	9	loretoni	loretoni	PROPN
cuesj-1390	195	10	,	,	PUNCT
cuesj-1390	195	11	m.	m.	NOUN
cuesj-1390	195	12	duranti	duranti	PROPN
cuesj-1390	195	13	,	,	PUNCT
cuesj-1390	195	14	l.	l.	PROPN
cuesj-1390	195	15	sani	sani	PROPN
cuesj-1390	195	16	,	,	PUNCT
cuesj-1390	195	17	a.	a.	NOUN
cuesj-1390	195	18	vispa	vispa	NOUN
cuesj-1390	195	19	,	,	PUNCT
cuesj-1390	195	20	m.	m.	NOUN
cuesj-1390	195	21	ghavami	ghavami	NOUN
cuesj-1390	195	22	,	,	PUNCT
cuesj-1390	195	23	s.	s.	PROPN
cuesj-1390	195	24	dudley	dudley	PROPN
cuesj-1390	195	25	and	and	CCONJ
cuesj-1390	195	26	g.	g.	PROPN
cuesj-1390	195	27	tiberi	tiberi	PROPN
cuesj-1390	195	28	.	.	PUNCT
cuesj-1390	196	1	radial	radial	ADJ
cuesj-1390	196	2	basis	basis	NOUN
cuesj-1390	196	3	function	function	NOUN
cuesj-1390	196	4	for	for	ADP
cuesj-1390	196	5	breast	breast	NOUN
cuesj-1390	196	6	lesion	lesion	NOUN
cuesj-1390	196	7	detection	detection	NOUN
cuesj-1390	196	8	from	from	ADP
cuesj-1390	196	9	mammowave	mammowave	ADJ
cuesj-1390	196	10	clinical	clinical	ADJ
cuesj-1390	196	11	data	datum	NOUN
cuesj-1390	196	12	.	.	PUNCT
cuesj-1390	197	1	diagnostics	diagnostic	NOUN
cuesj-1390	197	2	,	,	PUNCT
cuesj-1390	197	3	vol	vol	NOUN
cuesj-1390	197	4	.	.	PROPN
cuesj-1390	197	5	11	11	NUM
cuesj-1390	197	6	,	,	PUNCT
cuesj-1390	197	7	no	no	INTJ
cuesj-1390	197	8	.	.	NOUN
cuesj-1390	197	9	10	10	NUM
cuesj-1390	197	10	,	,	PUNCT
cuesj-1390	197	11	p.	p.	NOUN
cuesj-1390	197	12	1930	1930	NUM
cuesj-1390	197	13	,	,	PUNCT
cuesj-1390	197	14	2021	2021	NUM
cuesj-1390	197	15	.	.	PUNCT
cuesj-1390	198	1	20	20	NUM
cuesj-1390	198	2	.	.	PUNCT
cuesj-1390	198	3	x.	x.	PROPN
cuesj-1390	198	4	ding	ding	PROPN
cuesj-1390	198	5	,	,	PUNCT
cuesj-1390	198	6	j.	j.	PROPN
cuesj-1390	198	7	liu	liu	PROPN
cuesj-1390	198	8	,	,	PUNCT
cuesj-1390	198	9	f.	f.	PROPN
cuesj-1390	198	10	yang	yang	PROPN
cuesj-1390	198	11	and	and	CCONJ
cuesj-1390	198	12	j.	j.	PROPN
cuesj-1390	198	13	cao	cao	PROPN
cuesj-1390	198	14	.	.	PUNCT
cuesj-1390	199	1	random	random	ADJ
cuesj-1390	199	2	radial	radial	ADJ
cuesj-1390	199	3	basis	basis	NOUN
cuesj-1390	199	4	function	function	NOUN
cuesj-1390	199	5	kernel	kernel	NOUN
cuesj-1390	199	6	-	-	PUNCT
cuesj-1390	199	7	based	base	VERB
cuesj-1390	199	8	support	support	NOUN
cuesj-1390	199	9	vector	vector	NOUN
cuesj-1390	199	10	machine	machine	NOUN
cuesj-1390	199	11	.	.	PUNCT
cuesj-1390	200	1	journal	journal	NOUN
cuesj-1390	200	2	of	of	ADP
cuesj-1390	200	3	the	the	DET
cuesj-1390	200	4	franklin	franklin	PROPN
cuesj-1390	200	5	institute	institute	PROPN
cuesj-1390	200	6	,	,	PUNCT
cuesj-1390	200	7	vol	vol	NOUN
cuesj-1390	200	8	.	.	PROPN
cuesj-1390	201	1	358	358	NUM
cuesj-1390	201	2	,	,	PUNCT
cuesj-1390	201	3	no	no	INTJ
cuesj-1390	201	4	.	.	NOUN
cuesj-1390	201	5	18	18	NUM
cuesj-1390	201	6	,	,	PUNCT
cuesj-1390	201	7	pp	pp	ADJ
cuesj-1390	201	8	.	.	PUNCT
cuesj-1390	202	1	10121	10121	NUM
cuesj-1390	202	2	-	-	SYM
cuesj-1390	202	3	10140	10140	NUM
cuesj-1390	202	4	,	,	PUNCT
cuesj-1390	202	5	2021	2021	NUM
cuesj-1390	202	6	.	.	PUNCT
cuesj-1390	203	1	21	21	NUM
cuesj-1390	203	2	.	.	PUNCT
cuesj-1390	203	3	w.	w.	PROPN
cuesj-1390	203	4	wolberg	wolberg	PROPN
cuesj-1390	203	5	,	,	PUNCT
cuesj-1390	203	6	o.	o.	PROPN
cuesj-1390	203	7	mangasarian	mangasarian	PROPN
cuesj-1390	203	8	,	,	PUNCT
cuesj-1390	203	9	n.	n.	PROPN
cuesj-1390	203	10	street	street	PROPN
cuesj-1390	203	11	and	and	CCONJ
cuesj-1390	203	12	w.	w.	PROPN
cuesj-1390	203	13	street	street	PROPN
cuesj-1390	203	14	.	.	PUNCT
cuesj-1390	204	1	breast	breast	NOUN
cuesj-1390	204	2	cancer	cancer	PROPN
cuesj-1390	204	3	wisconsin	wisconsin	PROPN
cuesj-1390	204	4	(	(	PUNCT
cuesj-1390	204	5	diagnostic	diagnostic	ADJ
cuesj-1390	204	6	)	)	PUNCT
cuesj-1390	204	7	.	.	PUNCT
cuesj-1390	205	1	uci	uci	PROPN
cuesj-1390	205	2	machine	machine	NOUN
cuesj-1390	205	3	learning	learn	VERB
cuesj-1390	205	4	repository	repository	NOUN
cuesj-1390	205	5	,	,	PUNCT
cuesj-1390	205	6	california	california	PROPN
cuesj-1390	205	7	,	,	PUNCT
cuesj-1390	205	8	1993	1993	NUM
cuesj-1390	205	9	.	.	PUNCT
cuesj-1390	206	1	22	22	NUM
cuesj-1390	206	2	.	.	PUNCT
cuesj-1390	207	1	d.	d.	PROPN
cuesj-1390	207	2	valero	valero	PROPN
cuesj-1390	207	3	-	-	PUNCT
cuesj-1390	207	4	carreras	carreras	PROPN
cuesj-1390	207	5	,	,	PUNCT
cuesj-1390	207	6	j.	j.	PROPN
cuesj-1390	207	7	alcaraz	alcaraz	PROPN
cuesj-1390	207	8	and	and	CCONJ
cuesj-1390	207	9	m.	m.	NOUN
cuesj-1390	207	10	landete	landete	NOUN
cuesj-1390	207	11	.	.	PUNCT
cuesj-1390	208	1	comparing	compare	VERB
cuesj-1390	208	2	two	two	NUM
cuesj-1390	208	3	svm	svm	ADJ
cuesj-1390	208	4	models	model	NOUN
cuesj-1390	208	5	through	through	ADP
cuesj-1390	208	6	different	different	ADJ
cuesj-1390	208	7	metrics	metric	NOUN
cuesj-1390	208	8	based	base	VERB
cuesj-1390	208	9	on	on	ADP
cuesj-1390	208	10	the	the	DET
cuesj-1390	208	11	confusion	confusion	NOUN
cuesj-1390	208	12	matrix	matrix	NOUN
cuesj-1390	208	13	.	.	PUNCT
cuesj-1390	209	1	computers	computer	NOUN
cuesj-1390	209	2	&	&	CCONJ
cuesj-1390	209	3	operations	operation	NOUN
cuesj-1390	209	4	research	research	NOUN
cuesj-1390	209	5	,	,	PUNCT
cuesj-1390	209	6	vol	vol	NOUN
cuesj-1390	209	7	.	.	PROPN
cuesj-1390	209	8	152	152	NUM
cuesj-1390	209	9	,	,	PUNCT
cuesj-1390	209	10	p.	p.	NOUN
cuesj-1390	209	11	106131	106131	NUM
cuesj-1390	209	12	,	,	PUNCT
cuesj-1390	209	13	2023	2023	NUM
cuesj-1390	209	14	.	.	PUNCT
cuesj-1390	210	1	23	23	NUM
cuesj-1390	210	2	.	.	PUNCT
cuesj-1390	211	1	j.	j.	PROPN
cuesj-1390	211	2	miao	miao	PROPN
cuesj-1390	211	3	and	and	CCONJ
cuesj-1390	211	4	w.	w.	PROPN
cuesj-1390	211	5	zhu	zhu	PROPN
cuesj-1390	211	6	.	.	PUNCT
cuesj-1390	211	7	precision	precision	NOUN
cuesj-1390	211	8	-	-	PUNCT
cuesj-1390	211	9	recall	recall	NOUN
cuesj-1390	211	10	curve	curve	NOUN
cuesj-1390	211	11	(	(	PUNCT
cuesj-1390	211	12	prc	prc	PROPN
cuesj-1390	211	13	)	)	PUNCT
cuesj-1390	211	14	classification	classification	NOUN
cuesj-1390	211	15	trees	tree	NOUN
cuesj-1390	211	16	.	.	PUNCT
cuesj-1390	212	1	evolutionary	evolutionary	ADJ
cuesj-1390	212	2	intelligence	intelligence	NOUN
cuesj-1390	212	3	,	,	PUNCT
cuesj-1390	212	4	vol	vol	NOUN
cuesj-1390	212	5	.	.	PROPN
cuesj-1390	212	6	15	15	NUM
cuesj-1390	212	7	,	,	PUNCT
cuesj-1390	212	8	no	no	INTJ
cuesj-1390	212	9	.	.	NOUN
cuesj-1390	212	10	3	3	NUM
cuesj-1390	212	11	,	,	PUNCT
cuesj-1390	212	12	pp	pp	ADJ
cuesj-1390	212	13	.	.	PUNCT
cuesj-1390	213	1	1545	1545	NUM
cuesj-1390	213	2	-	-	SYM
cuesj-1390	213	3	1569	1569	NUM
cuesj-1390	213	4	,	,	PUNCT
cuesj-1390	213	5	2022	2022	NUM
cuesj-1390	213	6	.	.	PUNCT
cuesj-1390	214	1	24	24	NUM
cuesj-1390	214	2	.	.	PUNCT
cuesj-1390	214	3	a.	a.	PROPN
cuesj-1390	214	4	kovács	kovács	PROPN
cuesj-1390	214	5	,	,	PUNCT
cuesj-1390	214	6	p.	p.	PROPN
cuesj-1390	214	7	palásti	palásti	PROPN
cuesj-1390	214	8	,	,	PUNCT
cuesj-1390	214	9	d.	d.	PROPN
cuesj-1390	214	10	veréb	veréb	PROPN
cuesj-1390	214	11	,	,	PUNCT
cuesj-1390	214	12	b.	b.	PROPN
cuesj-1390	214	13	bozsik	bozsik	PROPN
cuesj-1390	214	14	,	,	PUNCT
cuesj-1390	214	15	a.	a.	NOUN
cuesj-1390	214	16	palkó	palkó	NOUN
cuesj-1390	214	17	and	and	CCONJ
cuesj-1390	214	18	z.	z.	PROPN
cuesj-1390	214	19	t.	t.	PROPN
cuesj-1390	214	20	kincses	kincses	PROPN
cuesj-1390	214	21	.	.	PUNCT
cuesj-1390	215	1	the	the	DET
cuesj-1390	215	2	sensitivity	sensitivity	NOUN
cuesj-1390	215	3	and	and	CCONJ
cuesj-1390	215	4	specificity	specificity	NOUN
cuesj-1390	215	5	of	of	ADP
cuesj-1390	215	6	chest	chest	NOUN
cuesj-1390	215	7	ct	ct	NUM
cuesj-1390	215	8	in	in	ADP
cuesj-1390	215	9	the	the	DET
cuesj-1390	215	10	diagnosis	diagnosis	NOUN
cuesj-1390	215	11	of	of	ADP
cuesj-1390	215	12	covid-19	covid-19	PROPN
cuesj-1390	215	13	.	.	PUNCT
cuesj-1390	216	1	european	european	PROPN
cuesj-1390	216	2	radiology	radiology	NOUN
cuesj-1390	216	3	,	,	PUNCT
cuesj-1390	216	4	vol	vol	NOUN
cuesj-1390	216	5	.	.	PROPN
cuesj-1390	216	6	31	31	NUM
cuesj-1390	216	7	,	,	PUNCT
cuesj-1390	216	8	pp	pp	ADJ
cuesj-1390	216	9	.	.	PUNCT
cuesj-1390	217	1	2819	2819	NUM
cuesj-1390	217	2	-	-	SYM
cuesj-1390	217	3	2824	2824	NUM
cuesj-1390	217	4	,	,	PUNCT
cuesj-1390	217	5	2021	2021	NUM
cuesj-1390	217	6	.	.	PUNCT
cuesj-1390	218	1	25	25	NUM
cuesj-1390	218	2	.	.	PUNCT
cuesj-1390	218	3	a.	a.	PROPN
cuesj-1390	218	4	s.	s.	PROPN
cuesj-1390	218	5	assiri	assiri	PROPN
cuesj-1390	218	6	,	,	PUNCT
cuesj-1390	218	7	s.	s.	PROPN
cuesj-1390	218	8	nazir	nazir	PROPN
cuesj-1390	218	9	and	and	CCONJ
cuesj-1390	218	10	s.	s.	PROPN
cuesj-1390	218	11	a.	a.	PROPN
cuesj-1390	218	12	velastin	velastin	PROPN
cuesj-1390	218	13	.	.	PUNCT
cuesj-1390	219	1	breast	breast	NOUN
cuesj-1390	219	2	tumor	tumor	NOUN
cuesj-1390	219	3	classification	classification	NOUN
cuesj-1390	219	4	using	use	VERB
cuesj-1390	219	5	an	an	DET
cuesj-1390	219	6	ensemble	ensemble	ADJ
cuesj-1390	219	7	machine	machine	NOUN
cuesj-1390	219	8	learning	learning	NOUN
cuesj-1390	219	9	method	method	NOUN
cuesj-1390	219	10	.	.	PUNCT
cuesj-1390	220	1	journal	journal	PROPN
cuesj-1390	220	2	of	of	ADP
cuesj-1390	220	3	imaging	imaging	PROPN
cuesj-1390	220	4	,	,	PUNCT
cuesj-1390	220	5	vol	vol	NOUN
cuesj-1390	220	6	.	.	PROPN
cuesj-1390	220	7	6	6	NUM
cuesj-1390	220	8	,	,	PUNCT
cuesj-1390	220	9	no	no	INTJ
cuesj-1390	220	10	.	.	NOUN
cuesj-1390	220	11	6	6	NUM
cuesj-1390	220	12	,	,	PUNCT
cuesj-1390	220	13	p.	p.	NOUN
cuesj-1390	220	14	39	39	NUM
cuesj-1390	220	15	,	,	PUNCT
cuesj-1390	220	16	2020	2020	NUM
cuesj-1390	220	17	.	.	PUNCT
cuesj-1390	221	1	26	26	NUM
cuesj-1390	221	2	.	.	PUNCT
cuesj-1390	221	3	n.	n.	PROPN
cuesj-1390	221	4	h.	h.	PROPN
cuesj-1390	221	5	mahmood	mahmood	PROPN
cuesj-1390	221	6	and	and	CCONJ
cuesj-1390	221	7	d.	d.	PROPN
cuesj-1390	221	8	h.	h.	PROPN
cuesj-1390	221	9	kadir	kadir	PROPN
cuesj-1390	221	10	.	.	PUNCT
cuesj-1390	222	1	an	an	DET
cuesj-1390	222	2	elastic	elastic	ADJ
cuesj-1390	222	3	net	net	ADJ
cuesj-1390	222	4	approach	approach	NOUN
cuesj-1390	222	5	to	to	ADP
cuesj-1390	222	6	logistic	logistic	ADJ
cuesj-1390	222	7	regression	regression	NOUN
cuesj-1390	222	8	for	for	ADP
cuesj-1390	222	9	genetic	genetic	ADJ
cuesj-1390	222	10	selection	selection	NOUN
cuesj-1390	222	11	in	in	ADP
cuesj-1390	222	12	high	high	ADJ
cuesj-1390	222	13	-	-	PUNCT
cuesj-1390	222	14	dimensional	dimensional	ADJ
cuesj-1390	222	15	brain	brain	NOUN
cuesj-1390	222	16	cancer	cancer	NOUN
cuesj-1390	222	17	data	datum	NOUN
cuesj-1390	222	18	.	.	PUNCT
cuesj-1390	223	1	cihan	cihan	VERB
cuesj-1390	223	2	university	university	NOUN
cuesj-1390	223	3	-	-	PUNCT
cuesj-1390	223	4	erbil	erbil	PROPN
cuesj-1390	223	5	scientific	scientific	ADJ
cuesj-1390	223	6	journal	journal	NOUN
cuesj-1390	223	7	,	,	PUNCT
cuesj-1390	223	8	vol	vol	NOUN
cuesj-1390	223	9	.	.	PROPN
cuesj-1390	223	10	9	9	NUM
cuesj-1390	223	11	,	,	PUNCT
cuesj-1390	223	12	no	no	INTJ
cuesj-1390	223	13	.	.	NOUN
cuesj-1390	223	14	1	1	NUM
cuesj-1390	223	15	,	,	PUNCT
cuesj-1390	223	16	pp	pp	ADJ
cuesj-1390	223	17	.	.	PUNCT
cuesj-1390	224	1	14	14	NUM
cuesj-1390	224	2	-	-	SYM
cuesj-1390	224	3	23	23	NUM
cuesj-1390	224	4	,	,	PUNCT
cuesj-1390	224	5	2025	2025	NUM
cuesj-1390	224	6	.	.	PUNCT
cuesj-1390	225	1	27	27	NUM
cuesj-1390	225	2	.	.	PUNCT
cuesj-1390	225	3	m.	m.	NOUN
cuesj-1390	225	4	s.	s.	PROPN
cuesj-1390	225	5	reza	reza	PROPN
cuesj-1390	225	6	,	,	PUNCT
cuesj-1390	225	7	u.	u.	PROPN
cuesj-1390	225	8	hafsha	hafsha	PROPN
cuesj-1390	225	9	,	,	PUNCT
cuesj-1390	225	10	r.	r.	PROPN
cuesj-1390	225	11	amin	amin	PROPN
cuesj-1390	225	12	,	,	PUNCT
cuesj-1390	225	13	r.	r.	PROPN
cuesj-1390	225	14	yasmin	yasmin	PROPN
cuesj-1390	225	15	and	and	CCONJ
cuesj-1390	225	16	s.	s.	PROPN
cuesj-1390	225	17	ruhi	ruhi	PROPN
cuesj-1390	225	18	.	.	PUNCT
cuesj-1390	226	1	improving	improve	VERB
cuesj-1390	226	2	svm	svm	ADJ
cuesj-1390	226	3	performance	performance	NOUN
cuesj-1390	226	4	for	for	ADP
cuesj-1390	226	5	type	type	NOUN
cuesj-1390	226	6	ii	ii	PROPN
cuesj-1390	226	7	diabetes	diabetes	NOUN
cuesj-1390	226	8	prediction	prediction	NOUN
cuesj-1390	226	9	with	with	ADP
cuesj-1390	226	10	an	an	DET
cuesj-1390	226	11	improved	improved	ADJ
cuesj-1390	226	12	non	non	ADJ
cuesj-1390	226	13	-	-	ADJ
cuesj-1390	226	14	linear	linear	ADJ
cuesj-1390	226	15	kernel	kernel	NOUN
cuesj-1390	226	16	:	:	PUNCT
cuesj-1390	226	17	insights	insight	NOUN
cuesj-1390	226	18	from	from	ADP
cuesj-1390	226	19	the	the	DET
cuesj-1390	226	20	pima	pima	PROPN
cuesj-1390	226	21	dataset	dataset	PROPN
cuesj-1390	226	22	.	.	PUNCT
cuesj-1390	227	1	computer	computer	NOUN
cuesj-1390	227	2	methods	method	NOUN
cuesj-1390	227	3	and	and	CCONJ
cuesj-1390	227	4	programs	program	NOUN
cuesj-1390	227	5	in	in	ADP
cuesj-1390	227	6	biomedicine	biomedicine	NOUN
cuesj-1390	227	7	update	update	NOUN
cuesj-1390	227	8	,	,	PUNCT
cuesj-1390	227	9	vol	vol	NOUN
cuesj-1390	227	10	.	.	PROPN
cuesj-1390	227	11	4	4	NUM
cuesj-1390	227	12	,	,	PUNCT
cuesj-1390	227	13	p.	p.	NOUN
cuesj-1390	227	14	100118	100118	NUM
cuesj-1390	227	15	,	,	PUNCT
cuesj-1390	227	16	2023	2023	NUM
cuesj-1390	227	17	.	.	PUNCT