id	sid	tid	token	lemma	pos
ijassa-266	1	1	adv	adv	PROPN
ijassa-266	1	2	syst	syst	PROPN
ijassa-266	1	3	sci	sci	PROPN
ijassa-266	1	4	appl	appl	PROPN
ijassa-266	1	5	2018	2018	NUM
ijassa-266	1	6	;	;	PUNCT
ijassa-266	1	7	4	4	NUM
ijassa-266	1	8	;	;	PUNCT
ijassa-266	1	9	12	12	NUM
ijassa-266	1	10	-	-	SYM
ijassa-266	1	11	19	19	NUM
ijassa-266	1	12	published	publish	VERB
ijassa-266	1	13	online	online	ADV
ijassa-266	1	14	at	at	ADP
ijassa-266	1	15	http://ijassa.ipu.ru/	http://ijassa.ipu.ru/	ADJ
ijassa-266	1	16	severity	severity	NOUN
ijassa-266	1	17	of	of	ADP
ijassa-266	1	18	breast	breast	NOUN
ijassa-266	1	19	masses	masse	NOUN
ijassa-266	1	20	prediction	prediction	VERB
ijassa-266	1	21	in	in	ADP
ijassa-266	1	22	mammograms	mammogram	NOUN
ijassa-266	1	23	based	base	VERB
ijassa-266	1	24	on	on	ADP
ijassa-266	1	25	optimized	optimize	VERB
ijassa-266	1	26	naive	naive	ADJ
ijassa-266	1	27	bayes	bayes	NOUN
ijassa-266	1	28	diagnostic	diagnostic	ADJ
ijassa-266	1	29	system	system	NOUN
ijassa-266	1	30	abeer	abeer	PROPN
ijassa-266	1	31	s.	s.	PROPN
ijassa-266	1	32	desuky	desuky	PROPN
ijassa-266	1	33	faculty	faculty	PROPN
ijassa-266	1	34	of	of	ADP
ijassa-266	1	35	science	science	NOUN
ijassa-266	1	36	,	,	PUNCT
ijassa-266	1	37	al	al	PROPN
ijassa-266	1	38	-	-	PUNCT
ijassa-266	1	39	azhar	azhar	PROPN
ijassa-266	1	40	university	university	PROPN
ijassa-266	1	41	,	,	PUNCT
ijassa-266	1	42	cairo	cairo	PROPN
ijassa-266	1	43	,	,	PUNCT
ijassa-266	1	44	egypt	egypt	PROPN
ijassa-266	1	45	e	e	PROPN
ijassa-266	1	46	-	-	NOUN
ijassa-266	1	47	mail	mail	NOUN
ijassa-266	1	48	:	:	PUNCT
ijassa-266	1	49	abeerdesuky@azhar.edu.eg	abeerdesuky@azhar.edu.eg	PROPN
ijassa-266	1	50	abstract	abstract	PROPN
ijassa-266	1	51	.	.	PUNCT
ijassa-266	2	1	mammography	mammography	NOUN
ijassa-266	2	2	is	be	AUX
ijassa-266	2	3	the	the	DET
ijassa-266	2	4	most	most	ADV
ijassa-266	2	5	effective	effective	ADJ
ijassa-266	2	6	tool	tool	NOUN
ijassa-266	2	7	for	for	ADP
ijassa-266	2	8	breast	breast	NOUN
ijassa-266	2	9	masses	masse	NOUN
ijassa-266	2	10	screening	screen	VERB
ijassa-266	2	11	.	.	PUNCT
ijassa-266	3	1	it	it	PRON
ijassa-266	3	2	is	be	AUX
ijassa-266	3	3	a	a	DET
ijassa-266	3	4	special	special	ADJ
ijassa-266	3	5	ct	ct	NOUN
ijassa-266	3	6	scan	scan	NOUN
ijassa-266	3	7	technique	technique	NOUN
ijassa-266	3	8	used	use	VERB
ijassa-266	3	9	only	only	ADV
ijassa-266	3	10	to	to	PART
ijassa-266	3	11	detect	detect	VERB
ijassa-266	3	12	breast	breast	NOUN
ijassa-266	3	13	tumors	tumor	NOUN
ijassa-266	3	14	early	early	ADV
ijassa-266	3	15	and	and	CCONJ
ijassa-266	3	16	accurately	accurately	ADV
ijassa-266	3	17	.	.	PUNCT
ijassa-266	4	1	detecting	detect	VERB
ijassa-266	4	2	tumors	tumor	NOUN
ijassa-266	4	3	in	in	ADP
ijassa-266	4	4	its	its	PRON
ijassa-266	4	5	early	early	ADJ
ijassa-266	4	6	stage	stage	NOUN
ijassa-266	4	7	has	have	AUX
ijassa-266	4	8	improved	improve	VERB
ijassa-266	4	9	the	the	DET
ijassa-266	4	10	survival	survival	NOUN
ijassa-266	4	11	rate	rate	NOUN
ijassa-266	4	12	for	for	ADP
ijassa-266	4	13	breast	breast	NOUN
ijassa-266	4	14	cancer	cancer	NOUN
ijassa-266	4	15	patients	patient	NOUN
ijassa-266	4	16	.	.	PUNCT
ijassa-266	5	1	computer	computer	NOUN
ijassa-266	5	2	aided	aid	VERB
ijassa-266	5	3	diagnostic	diagnostic	ADJ
ijassa-266	5	4	systems	system	NOUN
ijassa-266	5	5	help	help	VERB
ijassa-266	5	6	the	the	DET
ijassa-266	5	7	physicians	physician	NOUN
ijassa-266	5	8	to	to	PART
ijassa-266	5	9	detect	detect	VERB
ijassa-266	5	10	breast	breast	NOUN
ijassa-266	5	11	cells	cell	NOUN
ijassa-266	5	12	abnormalities	abnormality	NOUN
ijassa-266	5	13	earlier	early	ADV
ijassa-266	5	14	than	than	ADP
ijassa-266	5	15	other	other	ADJ
ijassa-266	5	16	traditional	traditional	ADJ
ijassa-266	5	17	procedures	procedure	NOUN
ijassa-266	5	18	.	.	PUNCT
ijassa-266	6	1	in	in	ADP
ijassa-266	6	2	this	this	DET
ijassa-266	6	3	paper	paper	NOUN
ijassa-266	6	4	,	,	PUNCT
ijassa-266	6	5	an	an	DET
ijassa-266	6	6	improved	improve	VERB
ijassa-266	6	7	naive	naive	ADJ
ijassa-266	6	8	bayes	bayes	NOUN
ijassa-266	6	9	classifier	classifier	NOUN
ijassa-266	6	10	based	base	VERB
ijassa-266	6	11	on	on	ADP
ijassa-266	6	12	chicken	chicken	NOUN
ijassa-266	6	13	swarm	swarm	NOUN
ijassa-266	6	14	optimization	optimization	NOUN
ijassa-266	6	15	algorithm	algorithm	NOUN
ijassa-266	6	16	(	(	PUNCT
ijassa-266	6	17	cso	cso	PROPN
ijassa-266	6	18	-	-	PUNCT
ijassa-266	6	19	nbc	nbc	PROPN
ijassa-266	6	20	)	)	PUNCT
ijassa-266	6	21	is	be	AUX
ijassa-266	6	22	analyzed	analyze	VERB
ijassa-266	6	23	on	on	ADP
ijassa-266	6	24	mammographic	mammographic	ADJ
ijassa-266	6	25	mass	mass	NOUN
ijassa-266	6	26	dataset	dataset	NOUN
ijassa-266	6	27	.	.	PUNCT
ijassa-266	7	1	the	the	DET
ijassa-266	7	2	main	main	ADJ
ijassa-266	7	3	aim	aim	NOUN
ijassa-266	7	4	of	of	ADP
ijassa-266	7	5	this	this	DET
ijassa-266	7	6	research	research	NOUN
ijassa-266	7	7	is	be	AUX
ijassa-266	7	8	to	to	PART
ijassa-266	7	9	increase	increase	VERB
ijassa-266	7	10	physician	physician	NOUN
ijassa-266	7	11	's	's	PART
ijassa-266	7	12	ability	ability	NOUN
ijassa-266	7	13	to	to	PART
ijassa-266	7	14	determine	determine	VERB
ijassa-266	7	15	the	the	DET
ijassa-266	7	16	severity	severity	NOUN
ijassa-266	7	17	of	of	ADP
ijassa-266	7	18	a	a	DET
ijassa-266	7	19	mammographic	mammographic	ADJ
ijassa-266	7	20	mass	mass	NOUN
ijassa-266	7	21	lesion	lesion	NOUN
ijassa-266	7	22	from	from	ADP
ijassa-266	7	23	the	the	DET
ijassa-266	7	24	bi	bi	ADJ
ijassa-266	7	25	-	-	ADJ
ijassa-266	7	26	rads	rads	ADJ
ijassa-266	7	27	features	feature	NOUN
ijassa-266	7	28	and	and	CCONJ
ijassa-266	7	29	the	the	DET
ijassa-266	7	30	patient	patient	NOUN
ijassa-266	7	31	's	's	PART
ijassa-266	7	32	age	age	NOUN
ijassa-266	7	33	using	use	VERB
ijassa-266	7	34	the	the	DET
ijassa-266	7	35	bio	bio	NOUN
ijassa-266	7	36	inspired	inspire	VERB
ijassa-266	7	37	chicken	chicken	NOUN
ijassa-266	7	38	swarm	swarm	NOUN
ijassa-266	7	39	optimization	optimization	NOUN
ijassa-266	7	40	(	(	PUNCT
ijassa-266	7	41	cso	cso	PROPN
ijassa-266	7	42	)	)	PUNCT
ijassa-266	7	43	algorithm	algorithm	NOUN
ijassa-266	7	44	for	for	ADP
ijassa-266	7	45	naive	naive	ADJ
ijassa-266	7	46	bayes	bayes	NOUN
ijassa-266	7	47	classifier	classifier	NOUN
ijassa-266	7	48	(	(	PUNCT
ijassa-266	7	49	nbc	nbc	PROPN
ijassa-266	7	50	)	)	PUNCT
ijassa-266	7	51	improvement	improvement	NOUN
ijassa-266	7	52	.	.	PUNCT
ijassa-266	8	1	the	the	DET
ijassa-266	8	2	dataset	dataset	NOUN
ijassa-266	8	3	is	be	AUX
ijassa-266	8	4	preprocessed	preprocesse	VERB
ijassa-266	8	5	and	and	CCONJ
ijassa-266	8	6	divided	divide	VERB
ijassa-266	8	7	to	to	PART
ijassa-266	8	8	train	train	VERB
ijassa-266	8	9	the	the	DET
ijassa-266	8	10	cso	cso	PROPN
ijassa-266	8	11	-	-	PUNCT
ijassa-266	8	12	nbc	nbc	PROPN
ijassa-266	8	13	system	system	NOUN
ijassa-266	8	14	and	and	CCONJ
ijassa-266	8	15	test	test	VERB
ijassa-266	8	16	it	it	PRON
ijassa-266	8	17	by	by	ADP
ijassa-266	8	18	5	5	NUM
ijassa-266	8	19	-	-	PUNCT
ijassa-266	8	20	folds	fold	NOUN
ijassa-266	8	21	cross	cross	NOUN
ijassa-266	8	22	validation	validation	NOUN
ijassa-266	8	23	technique	technique	NOUN
ijassa-266	8	24	.	.	PUNCT
ijassa-266	9	1	the	the	DET
ijassa-266	9	2	performance	performance	NOUN
ijassa-266	9	3	of	of	ADP
ijassa-266	9	4	our	our	PRON
ijassa-266	9	5	proposed	propose	VERB
ijassa-266	9	6	classification	classification	NOUN
ijassa-266	9	7	system	system	NOUN
ijassa-266	9	8	is	be	AUX
ijassa-266	9	9	compared	compare	VERB
ijassa-266	9	10	with	with	ADP
ijassa-266	9	11	papers	paper	NOUN
ijassa-266	9	12	'	'	PART
ijassa-266	9	13	results	result	NOUN
ijassa-266	9	14	of	of	ADP
ijassa-266	9	15	other	other	ADJ
ijassa-266	9	16	researchers	researcher	NOUN
ijassa-266	9	17	to	to	PART
ijassa-266	9	18	show	show	VERB
ijassa-266	9	19	the	the	DET
ijassa-266	9	20	efficiency	efficiency	NOUN
ijassa-266	9	21	of	of	ADP
ijassa-266	9	22	our	our	PRON
ijassa-266	9	23	system	system	NOUN
ijassa-266	9	24	in	in	ADP
ijassa-266	9	25	predicting	predict	VERB
ijassa-266	9	26	severity	severity	NOUN
ijassa-266	9	27	of	of	ADP
ijassa-266	9	28	breast	breast	NOUN
ijassa-266	9	29	tumors	tumor	NOUN
ijassa-266	9	30	with	with	ADP
ijassa-266	9	31	the	the	DET
ijassa-266	9	32	highest	high	ADJ
ijassa-266	9	33	accuracy	accuracy	NOUN
ijassa-266	9	34	.	.	PUNCT
ijassa-266	10	1	keywords	keyword	NOUN
ijassa-266	10	2	:	:	PUNCT
ijassa-266	10	3	breast	breast	NOUN
ijassa-266	10	4	masses	masse	NOUN
ijassa-266	10	5	mammography	mammography	NOUN
ijassa-266	10	6	,	,	PUNCT
ijassa-266	10	7	naive	naive	ADJ
ijassa-266	10	8	bayes	bayes	NOUN
ijassa-266	10	9	,	,	PUNCT
ijassa-266	10	10	chicken	chicken	NOUN
ijassa-266	10	11	swarm	swarm	NOUN
ijassa-266	10	12	optimization	optimization	NOUN
ijassa-266	10	13	,	,	PUNCT
ijassa-266	10	14	computer	computer	NOUN
ijassa-266	10	15	aided	aid	VERB
ijassa-266	10	16	diagnosis	diagnosis	NOUN
ijassa-266	10	17	.	.	PUNCT
ijassa-266	11	1	1	1	X
ijassa-266	11	2	.	.	X
ijassa-266	11	3	introduction	introduction	NOUN
ijassa-266	11	4	cancer	cancer	NOUN
ijassa-266	11	5	is	be	AUX
ijassa-266	11	6	one	one	NUM
ijassa-266	11	7	of	of	ADP
ijassa-266	11	8	the	the	DET
ijassa-266	11	9	top	top	ADJ
ijassa-266	11	10	leading	lead	VERB
ijassa-266	11	11	causes	cause	NOUN
ijassa-266	11	12	of	of	ADP
ijassa-266	11	13	death	death	NOUN
ijassa-266	11	14	.	.	PUNCT
ijassa-266	12	1	it	it	PRON
ijassa-266	12	2	is	be	AUX
ijassa-266	12	3	caused	cause	VERB
ijassa-266	12	4	by	by	ADP
ijassa-266	12	5	uncontrolled	uncontrolled	ADJ
ijassa-266	12	6	growth	growth	NOUN
ijassa-266	12	7	of	of	ADP
ijassa-266	12	8	cells	cell	NOUN
ijassa-266	12	9	which	which	PRON
ijassa-266	12	10	invade	invade	VERB
ijassa-266	12	11	and	and	CCONJ
ijassa-266	12	12	spread	spread	VERB
ijassa-266	12	13	around	around	ADP
ijassa-266	12	14	the	the	DET
ijassa-266	12	15	body	body	NOUN
ijassa-266	12	16	,	,	PUNCT
ijassa-266	12	17	often	often	ADV
ijassa-266	12	18	resulting	result	VERB
ijassa-266	12	19	in	in	ADP
ijassa-266	12	20	death	death	NOUN
ijassa-266	12	21	.	.	PUNCT
ijassa-266	13	1	cancer	cancer	NOUN
ijassa-266	13	2	is	be	AUX
ijassa-266	13	3	the	the	DET
ijassa-266	13	4	second	second	ADJ
ijassa-266	13	5	leading	leading	ADJ
ijassa-266	13	6	cause	cause	NOUN
ijassa-266	13	7	of	of	ADP
ijassa-266	13	8	death	death	NOUN
ijassa-266	13	9	globally	globally	ADV
ijassa-266	13	10	,	,	PUNCT
ijassa-266	13	11	and	and	CCONJ
ijassa-266	13	12	was	be	AUX
ijassa-266	13	13	responsible	responsible	ADJ
ijassa-266	13	14	for	for	ADP
ijassa-266	13	15	8.8	8.8	NUM
ijassa-266	13	16	million	million	NUM
ijassa-266	13	17	deaths	death	NOUN
ijassa-266	13	18	in	in	ADP
ijassa-266	13	19	2015	2015	NUM
ijassa-266	13	20	[	[	X
ijassa-266	13	21	1	1	NUM
ijassa-266	13	22	]	]	PUNCT
ijassa-266	13	23	.	.	PUNCT
ijassa-266	14	1	globally	globally	ADV
ijassa-266	14	2	,	,	PUNCT
ijassa-266	14	3	nearly	nearly	ADV
ijassa-266	14	4	1	1	NUM
ijassa-266	14	5	in	in	ADP
ijassa-266	14	6	6	6	NUM
ijassa-266	14	7	deaths	death	NOUN
ijassa-266	14	8	is	be	AUX
ijassa-266	14	9	due	due	ADJ
ijassa-266	14	10	to	to	ADP
ijassa-266	14	11	cancer	cancer	NOUN
ijassa-266	14	12	according	accord	VERB
ijassa-266	14	13	to	to	ADP
ijassa-266	14	14	the	the	DET
ijassa-266	14	15	who	who	PRON
ijassa-266	14	16	(	(	PUNCT
ijassa-266	14	17	world	world	NOUN
ijassa-266	14	18	health	health	NOUN
ijassa-266	14	19	organization	organization	PROPN
ijassa-266	14	20	)	)	PUNCT
ijassa-266	14	21	.	.	PUNCT
ijassa-266	15	1	per	per	ADP
ijassa-266	15	2	the	the	DET
ijassa-266	15	3	us	us	PROPN
ijassa-266	15	4	national	national	PROPN
ijassa-266	15	5	cancer	cancer	PROPN
ijassa-266	15	6	institute	institute	PROPN
ijassa-266	15	7	,	,	PUNCT
ijassa-266	15	8	60	60	NUM
ijassa-266	15	9	percent	percent	NOUN
ijassa-266	15	10	of	of	ADP
ijassa-266	15	11	the	the	DET
ijassa-266	15	12	world	world	NOUN
ijassa-266	15	13	’s	’s	PART
ijassa-266	15	14	new	new	ADJ
ijassa-266	15	15	cancer	cancer	NOUN
ijassa-266	15	16	cases	case	NOUN
ijassa-266	15	17	happen	happen	VERB
ijassa-266	15	18	in	in	ADP
ijassa-266	15	19	asia	asia	PROPN
ijassa-266	15	20	,	,	PUNCT
ijassa-266	15	21	africa	africa	PROPN
ijassa-266	15	22	,	,	PUNCT
ijassa-266	15	23	central	central	ADJ
ijassa-266	15	24	and	and	CCONJ
ijassa-266	15	25	south	south	PROPN
ijassa-266	15	26	america	america	PROPN
ijassa-266	15	27	,	,	PUNCT
ijassa-266	15	28	and	and	CCONJ
ijassa-266	15	29	70	70	NUM
ijassa-266	15	30	percent	percent	NOUN
ijassa-266	15	31	of	of	ADP
ijassa-266	15	32	global	global	ADJ
ijassa-266	15	33	cancer	cancer	NOUN
ijassa-266	15	34	deaths	death	NOUN
ijassa-266	15	35	occur	occur	VERB
ijassa-266	15	36	in	in	ADP
ijassa-266	15	37	those	those	DET
ijassa-266	15	38	same	same	ADJ
ijassa-266	15	39	regions	region	NOUN
ijassa-266	15	40	as	as	ADV
ijassa-266	15	41	well	well	ADV
ijassa-266	15	42	.	.	PUNCT
ijassa-266	16	1	moreover	moreover	ADV
ijassa-266	16	2	,	,	PUNCT
ijassa-266	16	3	breast	breast	NOUN
ijassa-266	16	4	cancer	cancer	NOUN
ijassa-266	16	5	death	death	NOUN
ijassa-266	16	6	-	-	PUNCT
ijassa-266	16	7	rate	rate	NOUN
ijassa-266	16	8	was	be	AUX
ijassa-266	16	9	571	571	NUM
ijassa-266	16	10	000	000	NUM
ijassa-266	17	1	equivalently	equivalently	ADV
ijassa-266	17	2	6.5	6.5	NUM
ijassa-266	17	3	percent	percent	NOUN
ijassa-266	17	4	of	of	ADP
ijassa-266	17	5	all	all	DET
ijassa-266	17	6	deaths	death	NOUN
ijassa-266	17	7	in	in	ADP
ijassa-266	17	8	2015	2015	NUM
ijassa-266	17	9	[	[	X
ijassa-266	17	10	2	2	NUM
ijassa-266	17	11	]	]	PUNCT
ijassa-266	17	12	.	.	PUNCT
ijassa-266	18	1	because	because	SCONJ
ijassa-266	18	2	of	of	ADP
ijassa-266	18	3	this	this	DET
ijassa-266	18	4	fact	fact	NOUN
ijassa-266	18	5	,	,	PUNCT
ijassa-266	18	6	early	early	ADJ
ijassa-266	18	7	detection	detection	NOUN
ijassa-266	18	8	and	and	CCONJ
ijassa-266	18	9	true	true	ADJ
ijassa-266	18	10	diagnosis	diagnosis	NOUN
ijassa-266	18	11	is	be	AUX
ijassa-266	18	12	an	an	DET
ijassa-266	18	13	important	important	ADJ
ijassa-266	18	14	issue	issue	NOUN
ijassa-266	18	15	and	and	CCONJ
ijassa-266	18	16	plays	play	VERB
ijassa-266	18	17	a	a	DET
ijassa-266	18	18	key	key	ADJ
ijassa-266	18	19	role	role	NOUN
ijassa-266	18	20	to	to	PART
ijassa-266	18	21	reduce	reduce	VERB
ijassa-266	18	22	mortality	mortality	NOUN
ijassa-266	18	23	of	of	ADP
ijassa-266	18	24	this	this	DET
ijassa-266	18	25	disease	disease	NOUN
ijassa-266	18	26	.	.	PUNCT
ijassa-266	19	1	mammography	mammography	NOUN
ijassa-266	19	2	is	be	AUX
ijassa-266	19	3	an	an	DET
ijassa-266	19	4	efficient	efficient	ADJ
ijassa-266	19	5	imaging	imaging	NOUN
ijassa-266	19	6	appliance	appliance	NOUN
ijassa-266	19	7	for	for	ADP
ijassa-266	19	8	early	early	ADJ
ijassa-266	19	9	breast	breast	NOUN
ijassa-266	19	10	cells	cell	NOUN
ijassa-266	19	11	abnormality	abnormality	NOUN
ijassa-266	19	12	detection	detection	NOUN
ijassa-266	19	13	.	.	PUNCT
ijassa-266	20	1	mammography	mammography	NOUN
ijassa-266	20	2	exists	exist	VERB
ijassa-266	20	3	in	in	ADP
ijassa-266	20	4	two	two	NUM
ijassa-266	20	5	types	type	NOUN
ijassa-266	20	6	:	:	PUNCT
ijassa-266	20	7	first	first	ADJ
ijassa-266	20	8	type	type	NOUN
ijassa-266	20	9	,	,	PUNCT
ijassa-266	20	10	screening	screen	VERB
ijassa-266	20	11	mammography	mammography	NOUN
ijassa-266	20	12	which	which	PRON
ijassa-266	20	13	is	be	AUX
ijassa-266	20	14	breast	breast	NOUN
ijassa-266	20	15	x	x	NOUN
ijassa-266	20	16	ray	ray	NOUN
ijassa-266	20	17	used	use	VERB
ijassa-266	20	18	to	to	PART
ijassa-266	20	19	test	test	VERB
ijassa-266	20	20	the	the	DET
ijassa-266	20	21	changes	change	NOUN
ijassa-266	20	22	in	in	ADP
ijassa-266	20	23	breast	breast	NOUN
ijassa-266	20	24	area	area	NOUN
ijassa-266	20	25	for	for	ADP
ijassa-266	20	26	early	early	ADJ
ijassa-266	20	27	detection	detection	NOUN
ijassa-266	20	28	of	of	ADP
ijassa-266	20	29	breast	breast	NOUN
ijassa-266	20	30	tumors	tumor	NOUN
ijassa-266	20	31	in	in	ADP
ijassa-266	20	32	women	woman	NOUN
ijassa-266	20	33	with	with	ADP
ijassa-266	20	34	no	no	DET
ijassa-266	20	35	symptoms	symptom	NOUN
ijassa-266	20	36	of	of	ADP
ijassa-266	20	37	cancer	cancer	NOUN
ijassa-266	20	38	.	.	PUNCT
ijassa-266	21	1	it	it	PRON
ijassa-266	21	2	can	can	AUX
ijassa-266	21	3	also	also	ADV
ijassa-266	21	4	detect	detect	VERB
ijassa-266	21	5	tiny	tiny	ADJ
ijassa-266	21	6	calcium	calcium	NOUN
ijassa-266	21	7	deposits	deposit	NOUN
ijassa-266	21	8	(	(	PUNCT
ijassa-266	21	9	micro	micro	NOUN
ijassa-266	21	10	calcification	calcification	NOUN
ijassa-266	21	11	)	)	PUNCT
ijassa-266	21	12	that	that	PRON
ijassa-266	21	13	is	be	AUX
ijassa-266	21	14	one	one	NUM
ijassa-266	21	15	of	of	ADP
ijassa-266	21	16	cancer	cancer	NOUN
ijassa-266	21	17	manifestations	manifestation	NOUN
ijassa-266	21	18	.	.	PUNCT
ijassa-266	22	1	the	the	DET
ijassa-266	22	2	second	second	ADJ
ijassa-266	22	3	type	type	NOUN
ijassa-266	22	4	,	,	PUNCT
ijassa-266	22	5	diagnostic	diagnostic	ADJ
ijassa-266	22	6	mammography	mammography	NOUN
ijassa-266	22	7	which	which	PRON
ijassa-266	22	8	is	be	AUX
ijassa-266	22	9	a	a	DET
ijassa-266	22	10	breast	breast	NOUN
ijassa-266	22	11	x	x	NOUN
ijassa-266	22	12	ray	ray	NOUN
ijassa-266	22	13	to	to	PART
ijassa-266	22	14	check	check	VERB
ijassa-266	22	15	the	the	DET
ijassa-266	22	16	signs	sign	NOUN
ijassa-266	22	17	of	of	ADP
ijassa-266	22	18	breast	breast	NOUN
ijassa-266	22	19	cancer	cancer	NOUN
ijassa-266	22	20	after	after	ADP
ijassa-266	22	21	detecting	detect	VERB
ijassa-266	22	22	a	a	DET
ijassa-266	22	23	mass	mass	ADJ
ijassa-266	22	24	or	or	CCONJ
ijassa-266	22	25	other	other	ADJ
ijassa-266	22	26	symptom	symptom	NOUN
ijassa-266	22	27	.	.	PUNCT
ijassa-266	23	1	symptoms	symptom	NOUN
ijassa-266	23	2	include	include	VERB
ijassa-266	23	3	breast	breast	NOUN
ijassa-266	23	4	size	size	NOUN
ijassa-266	23	5	/	/	SYM
ijassa-266	23	6	shape	shape	NOUN
ijassa-266	23	7	change	change	NOUN
ijassa-266	23	8	,	,	PUNCT
ijassa-266	23	9	skin	skin	NOUN
ijassa-266	23	10	thickening	thickening	NOUN
ijassa-266	23	11	,	,	PUNCT
ijassa-266	23	12	pain	pain	NOUN
ijassa-266	23	13	or	or	CCONJ
ijassa-266	23	14	nipple	nipple	NOUN
ijassa-266	23	15	discharge	discharge	NOUN
ijassa-266	23	16	[	[	X
ijassa-266	23	17	3	3	NUM
ijassa-266	23	18	,	,	PUNCT
ijassa-266	23	19	4	4	NUM
ijassa-266	23	20	]	]	PUNCT
ijassa-266	23	21	.	.	PUNCT
ijassa-266	24	1	significant	significant	ADJ
ijassa-266	24	2	improvements	improvement	NOUN
ijassa-266	24	3	can	can	AUX
ijassa-266	24	4	be	be	AUX
ijassa-266	24	5	made	make	VERB
ijassa-266	24	6	in	in	ADP
ijassa-266	24	7	the	the	DET
ijassa-266	24	8	lives	life	NOUN
ijassa-266	24	9	of	of	ADP
ijassa-266	24	10	breast	breast	NOUN
ijassa-266	24	11	cancer	cancer	NOUN
ijassa-266	24	12	patients	patient	NOUN
ijassa-266	24	13	by	by	ADP
ijassa-266	24	14	detecting	detect	VERB
ijassa-266	24	15	cancer	cancer	NOUN
ijassa-266	24	16	early	early	ADV
ijassa-266	24	17	and	and	CCONJ
ijassa-266	24	18	avoiding	avoid	VERB
ijassa-266	24	19	delays	delay	NOUN
ijassa-266	24	20	in	in	ADP
ijassa-266	24	21	care	care	NOUN
ijassa-266	24	22	,	,	PUNCT
ijassa-266	24	23	computer	computer	NOUN
ijassa-266	24	24	aided	aid	VERB
ijassa-266	24	25	diagnosis	diagnosis	NOUN
ijassa-266	24	26	(	(	PUNCT
ijassa-266	24	27	cad	cad	NOUN
ijassa-266	24	28	)	)	PUNCT
ijassa-266	24	29	can	can	AUX
ijassa-266	24	30	help	help	VERB
ijassa-266	24	31	the	the	DET
ijassa-266	24	32	13	13	NUM
ijassa-266	24	33	a.	a.	NOUN
ijassa-266	24	34	s.	s.	PROPN
ijassa-266	24	35	desuky	desuky	PROPN
ijassa-266	24	36	copyright	copyright	NOUN
ijassa-266	24	37	©	©	PROPN
ijassa-266	24	38	2018	2018	NUM
ijassa-266	24	39	assa	assa	NOUN
ijassa-266	24	40	.	.	PUNCT
ijassa-266	25	1	adv	adv	PROPN
ijassa-266	25	2	.	.	PUNCT
ijassa-266	26	1	in	in	ADP
ijassa-266	26	2	systems	system	NOUN
ijassa-266	26	3	science	science	NOUN
ijassa-266	26	4	and	and	CCONJ
ijassa-266	26	5	appl	appl	NOUN
ijassa-266	26	6	.	.	PUNCT
ijassa-266	27	1	(	(	PUNCT
ijassa-266	27	2	2018	2018	NUM
ijassa-266	27	3	)	)	PUNCT
ijassa-266	27	4	physicians	physician	NOUN
ijassa-266	27	5	to	to	PART
ijassa-266	27	6	do	do	VERB
ijassa-266	27	7	this	this	DET
ijassa-266	27	8	task	task	NOUN
ijassa-266	27	9	faster	fast	ADV
ijassa-266	27	10	and	and	CCONJ
ijassa-266	27	11	more	more	ADV
ijassa-266	27	12	accurate	accurate	ADJ
ijassa-266	27	13	than	than	ADP
ijassa-266	27	14	traditional	traditional	ADJ
ijassa-266	27	15	procedures	procedure	NOUN
ijassa-266	27	16	.	.	PUNCT
ijassa-266	28	1	during	during	ADP
ijassa-266	28	2	the	the	DET
ijassa-266	28	3	last	last	ADJ
ijassa-266	28	4	decade	decade	NOUN
ijassa-266	28	5	with	with	ADP
ijassa-266	28	6	development	development	NOUN
ijassa-266	28	7	of	of	ADP
ijassa-266	28	8	machine	machine	NOUN
ijassa-266	28	9	learning	learn	VERB
ijassa-266	28	10	approaches	approach	NOUN
ijassa-266	28	11	in	in	ADP
ijassa-266	28	12	diagnostic	diagnostic	ADJ
ijassa-266	28	13	systems	system	NOUN
ijassa-266	28	14	,	,	PUNCT
ijassa-266	28	15	breast	breast	NOUN
ijassa-266	28	16	cancer	cancer	NOUN
ijassa-266	28	17	detection	detection	NOUN
ijassa-266	28	18	has	have	AUX
ijassa-266	28	19	improved	improve	VERB
ijassa-266	28	20	.	.	PUNCT
ijassa-266	29	1	the	the	DET
ijassa-266	29	2	aim	aim	NOUN
ijassa-266	29	3	of	of	ADP
ijassa-266	29	4	using	use	VERB
ijassa-266	29	5	machine	machine	NOUN
ijassa-266	29	6	learning	learning	NOUN
ijassa-266	29	7	approaches	approach	NOUN
ijassa-266	29	8	is	be	AUX
ijassa-266	29	9	to	to	PART
ijassa-266	29	10	minimize	minimize	VERB
ijassa-266	29	11	mistakes	mistake	NOUN
ijassa-266	29	12	that	that	PRON
ijassa-266	29	13	may	may	AUX
ijassa-266	29	14	occur	occur	VERB
ijassa-266	29	15	by	by	ADP
ijassa-266	29	16	specialists	specialist	NOUN
ijassa-266	29	17	in	in	ADP
ijassa-266	29	18	diagnosis	diagnosis	NOUN
ijassa-266	29	19	[	[	X
ijassa-266	29	20	5	5	NUM
ijassa-266	29	21	]	]	PUNCT
ijassa-266	29	22	.	.	PUNCT
ijassa-266	30	1	different	different	ADJ
ijassa-266	30	2	methods	method	NOUN
ijassa-266	30	3	have	have	AUX
ijassa-266	30	4	been	be	AUX
ijassa-266	30	5	proposed	propose	VERB
ijassa-266	30	6	to	to	PART
ijassa-266	30	7	detect	detect	VERB
ijassa-266	30	8	and	and	CCONJ
ijassa-266	30	9	classify	classify	VERB
ijassa-266	30	10	masses	masse	NOUN
ijassa-266	30	11	in	in	ADP
ijassa-266	30	12	mammogram	mammogram	NOUN
ijassa-266	30	13	images	image	NOUN
ijassa-266	30	14	.	.	PUNCT
ijassa-266	31	1	ramani	ramani	PROPN
ijassa-266	31	2	and	and	CCONJ
ijassa-266	31	3	vanitha	vanitha	ADJ
ijassa-266	32	1	[	[	X
ijassa-266	32	2	4	4	X
ijassa-266	32	3	]	]	PUNCT
ijassa-266	32	4	used	use	VERB
ijassa-266	32	5	weighted	weight	VERB
ijassa-266	32	6	histogram	histogram	NOUN
ijassa-266	32	7	algorithms	algorithm	NOUN
ijassa-266	32	8	to	to	PART
ijassa-266	32	9	select	select	VERB
ijassa-266	32	10	features	feature	NOUN
ijassa-266	32	11	from	from	ADP
ijassa-266	32	12	mammogram	mammogram	NOUN
ijassa-266	32	13	data	datum	NOUN
ijassa-266	32	14	then	then	ADV
ijassa-266	32	15	classified	classify	VERB
ijassa-266	32	16	the	the	DET
ijassa-266	32	17	selected	select	VERB
ijassa-266	32	18	features	feature	NOUN
ijassa-266	32	19	using	use	VERB
ijassa-266	32	20	random	random	ADJ
ijassa-266	32	21	forest	forest	NOUN
ijassa-266	32	22	,	,	PUNCT
ijassa-266	32	23	naive	naive	ADJ
ijassa-266	32	24	bayes	bayes	NOUN
ijassa-266	32	25	and	and	CCONJ
ijassa-266	32	26	ann	ann	PROPN
ijassa-266	32	27	algorithms	algorithms	PROPN
ijassa-266	32	28	.	.	PUNCT
ijassa-266	33	1	another	another	DET
ijassa-266	33	2	method	method	NOUN
ijassa-266	33	3	proposed	propose	VERB
ijassa-266	33	4	in	in	ADP
ijassa-266	33	5	[	[	X
ijassa-266	33	6	6	6	NUM
ijassa-266	33	7	]	]	PUNCT
ijassa-266	33	8	based	base	VERB
ijassa-266	33	9	on	on	ADP
ijassa-266	33	10	missing	miss	VERB
ijassa-266	33	11	values	value	NOUN
ijassa-266	33	12	imputation	imputation	NOUN
ijassa-266	33	13	and	and	CCONJ
ijassa-266	33	14	three	three	NUM
ijassa-266	33	15	models	model	NOUN
ijassa-266	33	16	svm	svm	VERB
ijassa-266	33	17	with	with	ADP
ijassa-266	33	18	polynomial	polynomial	ADJ
ijassa-266	33	19	kernel	kernel	NOUN
ijassa-266	33	20	,	,	PUNCT
ijassa-266	33	21	ann	ann	PROPN
ijassa-266	33	22	with	with	ADP
ijassa-266	33	23	pruning	prune	VERB
ijassa-266	33	24	parameters	parameter	NOUN
ijassa-266	33	25	and	and	CCONJ
ijassa-266	33	26	dt	dt	X
ijassa-266	33	27	with	with	ADP
ijassa-266	33	28	chi	chi	ADJ
ijassa-266	33	29	-	-	PUNCT
ijassa-266	33	30	squared	square	VERB
ijassa-266	33	31	interaction	interaction	NOUN
ijassa-266	33	32	detection	detection	NOUN
ijassa-266	33	33	were	be	AUX
ijassa-266	33	34	derived	derive	VERB
ijassa-266	33	35	for	for	ADP
ijassa-266	33	36	prediction	prediction	NOUN
ijassa-266	33	37	.	.	PUNCT
ijassa-266	34	1	bio	bio	ADJ
ijassa-266	34	2	-	-	PUNCT
ijassa-266	34	3	inspired	inspire	VERB
ijassa-266	34	4	swarm	swarm	NOUN
ijassa-266	34	5	algorithms	algorithm	NOUN
ijassa-266	34	6	can	can	AUX
ijassa-266	34	7	be	be	AUX
ijassa-266	34	8	used	use	VERB
ijassa-266	34	9	to	to	PART
ijassa-266	34	10	enhance	enhance	VERB
ijassa-266	34	11	effectiveness	effectiveness	NOUN
ijassa-266	34	12	of	of	ADP
ijassa-266	34	13	cad	cad	PROPN
ijassa-266	34	14	systems	system	NOUN
ijassa-266	34	15	.	.	PUNCT
ijassa-266	35	1	this	this	DET
ijassa-266	35	2	paper	paper	NOUN
ijassa-266	35	3	presents	present	VERB
ijassa-266	35	4	the	the	DET
ijassa-266	35	5	bio	bio	NOUN
ijassa-266	35	6	inspired	inspire	VERB
ijassa-266	35	7	chicken	chicken	NOUN
ijassa-266	35	8	swarm	swarm	NOUN
ijassa-266	35	9	optimization	optimization	NOUN
ijassa-266	35	10	(	(	PUNCT
ijassa-266	35	11	cso	cso	PROPN
ijassa-266	35	12	)	)	PUNCT
ijassa-266	35	13	algorithm	algorithm	NOUN
ijassa-266	35	14	to	to	PART
ijassa-266	35	15	improve	improve	VERB
ijassa-266	35	16	naive	naive	ADJ
ijassa-266	35	17	bayesian	bayesian	NOUN
ijassa-266	35	18	classifier	classifier	NOUN
ijassa-266	35	19	(	(	PUNCT
ijassa-266	35	20	nbc	nbc	PROPN
ijassa-266	35	21	)	)	PUNCT
ijassa-266	35	22	for	for	ADP
ijassa-266	35	23	the	the	DET
ijassa-266	35	24	severity	severity	NOUN
ijassa-266	35	25	of	of	ADP
ijassa-266	35	26	breast	breast	NOUN
ijassa-266	35	27	masses	masse	NOUN
ijassa-266	35	28	prediction	prediction	VERB
ijassa-266	35	29	in	in	ADP
ijassa-266	35	30	mammograms	mammogram	NOUN
ijassa-266	35	31	.	.	PUNCT
ijassa-266	36	1	2	2	X
ijassa-266	36	2	.	.	X
ijassa-266	36	3	the	the	DET
ijassa-266	36	4	proposed	propose	VERB
ijassa-266	36	5	method	method	NOUN
ijassa-266	36	6	2.1	2.1	NUM
ijassa-266	36	7	.	.	PUNCT
ijassa-266	37	1	chicken	chicken	NOUN
ijassa-266	37	2	swarm	swarm	NOUN
ijassa-266	37	3	optimization	optimization	NOUN
ijassa-266	37	4	chicken	chicken	NOUN
ijassa-266	37	5	swarm	swarm	NOUN
ijassa-266	37	6	optimization	optimization	NOUN
ijassa-266	37	7	(	(	PUNCT
ijassa-266	37	8	cso	cso	PROPN
ijassa-266	37	9	)	)	PUNCT
ijassa-266	37	10	algorithm	algorithm	NOUN
ijassa-266	37	11	proposed	propose	VERB
ijassa-266	37	12	by	by	ADP
ijassa-266	37	13	meng	meng	PROPN
ijassa-266	37	14	et	et	PROPN
ijassa-266	37	15	al	al	PROPN
ijassa-266	37	16	.	.	PUNCT
ijassa-266	38	1	[	[	X
ijassa-266	38	2	7	7	NUM
ijassa-266	38	3	]	]	PUNCT
ijassa-266	38	4	,	,	PUNCT
ijassa-266	38	5	is	be	AUX
ijassa-266	38	6	a	a	DET
ijassa-266	38	7	bio	bio	ADJ
ijassa-266	38	8	-	-	PUNCT
ijassa-266	38	9	inspired	inspire	VERB
ijassa-266	38	10	swarm	swarm	NOUN
ijassa-266	38	11	algorithm	algorithm	NOUN
ijassa-266	38	12	which	which	PRON
ijassa-266	38	13	mimics	mimic	VERB
ijassa-266	38	14	the	the	DET
ijassa-266	38	15	behavior	behavior	NOUN
ijassa-266	38	16	of	of	ADP
ijassa-266	38	17	chicken	chicken	NOUN
ijassa-266	38	18	swarms	swarm	NOUN
ijassa-266	38	19	in	in	ADP
ijassa-266	38	20	nature	nature	NOUN
ijassa-266	38	21	.	.	PUNCT
ijassa-266	39	1	each	each	DET
ijassa-266	39	2	chicken	chicken	NOUN
ijassa-266	39	3	swarm	swarm	NOUN
ijassa-266	39	4	contains	contain	VERB
ijassa-266	39	5	several	several	ADJ
ijassa-266	39	6	groups	group	NOUN
ijassa-266	39	7	of	of	ADP
ijassa-266	39	8	one	one	NUM
ijassa-266	39	9	rooster	rooster	NOUN
ijassa-266	39	10	with	with	ADP
ijassa-266	39	11	two	two	NUM
ijassa-266	39	12	or	or	CCONJ
ijassa-266	39	13	more	more	ADJ
ijassa-266	39	14	hens	hen	NOUN
ijassa-266	39	15	and	and	CCONJ
ijassa-266	39	16	many	many	ADJ
ijassa-266	39	17	chicks	chick	NOUN
ijassa-266	39	18	move	move	VERB
ijassa-266	39	19	in	in	ADP
ijassa-266	39	20	a	a	DET
ijassa-266	39	21	hierarchy	hierarchy	NOUN
ijassa-266	39	22	groups	group	NOUN
ijassa-266	39	23	and	and	CCONJ
ijassa-266	39	24	searching	search	VERB
ijassa-266	39	25	for	for	ADP
ijassa-266	39	26	food	food	NOUN
ijassa-266	39	27	which	which	PRON
ijassa-266	39	28	has	have	VERB
ijassa-266	39	29	an	an	DET
ijassa-266	39	30	effect	effect	NOUN
ijassa-266	39	31	on	on	ADP
ijassa-266	39	32	the	the	DET
ijassa-266	39	33	swarm	swarm	NOUN
ijassa-266	39	34	movements	movement	NOUN
ijassa-266	39	35	.	.	PUNCT
ijassa-266	40	1	dividing	divide	VERB
ijassa-266	40	2	the	the	DET
ijassa-266	40	3	chicken	chicken	NOUN
ijassa-266	40	4	swarm	swarm	NOUN
ijassa-266	40	5	into	into	ADP
ijassa-266	40	6	groups	group	NOUN
ijassa-266	40	7	and	and	CCONJ
ijassa-266	40	8	identifying	identify	VERB
ijassa-266	40	9	the	the	DET
ijassa-266	40	10	chickens	chicken	NOUN
ijassa-266	40	11	into	into	ADP
ijassa-266	40	12	roosters	rooster	NOUN
ijassa-266	40	13	(	(	PUNCT
ijassa-266	40	14	r	r	NOUN
ijassa-266	40	15	)	)	PUNCT
ijassa-266	40	16	,	,	PUNCT
ijassa-266	40	17	hens	hen	NOUN
ijassa-266	40	18	(	(	PUNCT
ijassa-266	40	19	h	h	NOUN
ijassa-266	40	20	)	)	PUNCT
ijassa-266	40	21	and	and	CCONJ
ijassa-266	40	22	chicks	chick	NOUN
ijassa-266	40	23	(	(	PUNCT
ijassa-266	40	24	c	c	NOUN
ijassa-266	40	25	)	)	PUNCT
ijassa-266	40	26	mainly	mainly	ADV
ijassa-266	40	27	depends	depend	VERB
ijassa-266	40	28	on	on	ADP
ijassa-266	40	29	the	the	DET
ijassa-266	40	30	fitness	fitness	NOUN
ijassa-266	40	31	values	value	NOUN
ijassa-266	40	32	of	of	ADP
ijassa-266	40	33	the	the	DET
ijassa-266	40	34	chickens	chicken	NOUN
ijassa-266	40	35	.	.	PUNCT
ijassa-266	41	1	the	the	DET
ijassa-266	41	2	chickens	chicken	NOUN
ijassa-266	41	3	with	with	ADP
ijassa-266	41	4	best	good	ADJ
ijassa-266	41	5	fitness	fitness	NOUN
ijassa-266	41	6	values	value	NOUN
ijassa-266	41	7	would	would	AUX
ijassa-266	41	8	be	be	AUX
ijassa-266	41	9	the	the	DET
ijassa-266	41	10	roosters	rooster	NOUN
ijassa-266	41	11	.	.	PUNCT
ijassa-266	42	1	chicks	chick	NOUN
ijassa-266	42	2	would	would	AUX
ijassa-266	42	3	be	be	AUX
ijassa-266	42	4	the	the	DET
ijassa-266	42	5	chickens	chicken	NOUN
ijassa-266	42	6	with	with	ADP
ijassa-266	42	7	worst	bad	ADJ
ijassa-266	42	8	fitness	fitness	NOUN
ijassa-266	42	9	values	value	NOUN
ijassa-266	42	10	while	while	SCONJ
ijassa-266	42	11	the	the	DET
ijassa-266	42	12	others	other	NOUN
ijassa-266	42	13	would	would	AUX
ijassa-266	42	14	be	be	AUX
ijassa-266	42	15	the	the	DET
ijassa-266	42	16	hens	hen	NOUN
ijassa-266	42	17	(	(	PUNCT
ijassa-266	42	18	mothers	mother	NOUN
ijassa-266	42	19	)	)	PUNCT
ijassa-266	42	20	.	.	PUNCT
ijassa-266	43	1	these	these	DET
ijassa-266	43	2	statuses	status	NOUN
ijassa-266	43	3	are	be	AUX
ijassa-266	43	4	updated	update	VERB
ijassa-266	43	5	according	accord	VERB
ijassa-266	43	6	to	to	ADP
ijassa-266	43	7	the	the	DET
ijassa-266	43	8	change	change	NOUN
ijassa-266	43	9	in	in	ADP
ijassa-266	43	10	the	the	DET
ijassa-266	43	11	fitness	fitness	NOUN
ijassa-266	43	12	values	value	NOUN
ijassa-266	43	13	only	only	ADV
ijassa-266	43	14	every	every	DET
ijassa-266	43	15	several	several	ADJ
ijassa-266	43	16	(	(	PUNCT
ijassa-266	43	17	g	g	NOUN
ijassa-266	43	18	)	)	PUNCT
ijassa-266	43	19	time	time	NOUN
ijassa-266	43	20	steps	step	NOUN
ijassa-266	43	21	.	.	PUNCT
ijassa-266	44	1	there	there	PRON
ijassa-266	44	2	are	be	VERB
ijassa-266	44	3	three	three	NUM
ijassa-266	44	4	basic	basic	ADJ
ijassa-266	44	5	movements	movement	NOUN
ijassa-266	44	6	in	in	ADP
ijassa-266	44	7	the	the	DET
ijassa-266	44	8	swarm	swarm	NOUN
ijassa-266	44	9	as	as	SCONJ
ijassa-266	44	10	proposed	propose	VERB
ijassa-266	44	11	in	in	ADP
ijassa-266	44	12	[	[	X
ijassa-266	44	13	7	7	NUM
ijassa-266	44	14	]	]	PUNCT
ijassa-266	44	15	:	:	PUNCT
ijassa-266	44	16	first	first	ADJ
ijassa-266	44	17	movement	movement	NOUN
ijassa-266	44	18	is	be	AUX
ijassa-266	44	19	rooster	rooster	NOUN
ijassa-266	44	20	’s	’s	PART
ijassa-266	44	21	movement	movement	NOUN
ijassa-266	44	22	which	which	PRON
ijassa-266	44	23	has	have	VERB
ijassa-266	44	24	the	the	DET
ijassa-266	44	25	better	well	ADJ
ijassa-266	44	26	fitness	fitness	NOUN
ijassa-266	44	27	values	value	NOUN
ijassa-266	44	28	since	since	SCONJ
ijassa-266	44	29	it	it	PRON
ijassa-266	44	30	can	can	AUX
ijassa-266	44	31	search	search	VERB
ijassa-266	44	32	for	for	ADP
ijassa-266	44	33	food	food	NOUN
ijassa-266	44	34	in	in	ADP
ijassa-266	44	35	a	a	DET
ijassa-266	44	36	wider	wide	ADJ
ijassa-266	44	37	range	range	NOUN
ijassa-266	44	38	than	than	ADP
ijassa-266	44	39	the	the	DET
ijassa-266	44	40	rest	rest	NOUN
ijassa-266	44	41	of	of	ADP
ijassa-266	44	42	chicks	chick	NOUN
ijassa-266	44	43	with	with	ADP
ijassa-266	44	44	less	less	ADJ
ijassa-266	44	45	fitness	fitness	NOUN
ijassa-266	44	46	values	value	NOUN
ijassa-266	44	47	,	,	PUNCT
ijassa-266	44	48	the	the	DET
ijassa-266	44	49	movement	movement	NOUN
ijassa-266	44	50	of	of	ADP
ijassa-266	44	51	the	the	DET
ijassa-266	44	52	rooster	rooster	NOUN
ijassa-266	44	53	is	be	AUX
ijassa-266	44	54	defined	define	VERB
ijassa-266	44	55	in	in	ADP
ijassa-266	44	56	eq	eq	NOUN
ijassa-266	44	57	.	.	PROPN
ijassa-266	44	58	1	1	NUM
ijassa-266	44	59	and	and	CCONJ
ijassa-266	44	60	eq	eq	NOUN
ijassa-266	44	61	.	.	PROPN
ijassa-266	44	62	2	2	NUM
ijassa-266	44	63	:	:	PUNCT
ijassa-266	44	64	(	(	PUNCT
ijassa-266	44	65	1	1	X
ijassa-266	44	66	)	)	PUNCT
ijassa-266	44	67	where	where	SCONJ
ijassa-266	44	68	x	x	PRON
ijassa-266	44	69	is	be	AUX
ijassa-266	44	70	the	the	DET
ijassa-266	44	71	selected	select	VERB
ijassa-266	44	72	rooster	rooster	NOUN
ijassa-266	44	73	,	,	PUNCT
ijassa-266	44	74	is	be	AUX
ijassa-266	44	75	a	a	DET
ijassa-266	44	76	gaussian	gaussian	ADJ
ijassa-266	44	77	distribution	distribution	NOUN
ijassa-266	44	78	with	with	ADP
ijassa-266	44	79	mean	mean	PROPN
ijassa-266	44	80	0	0	NUM
ijassa-266	44	81	and	and	CCONJ
ijassa-266	44	82	standard	standard	ADJ
ijassa-266	44	83	deviation	deviation	NOUN
ijassa-266	44	84	,	,	PUNCT
ijassa-266	44	85	and	and	CCONJ
ijassa-266	44	86	f	f	PROPN
ijassa-266	44	87	is	be	AUX
ijassa-266	44	88	the	the	DET
ijassa-266	44	89	fitness	fitness	NOUN
ijassa-266	44	90	value	value	NOUN
ijassa-266	44	91	of	of	ADP
ijassa-266	44	92	the	the	DET
ijassa-266	44	93	corresponding	correspond	VERB
ijassa-266	44	94	rooster	rooster	NOUN
ijassa-266	44	95	x.	x.	NOUN
ijassa-266	45	1	(	(	PUNCT
ijassa-266	45	2	2	2	NUM
ijassa-266	45	3	)	)	PUNCT
ijassa-266	45	4	where	where	SCONJ
ijassa-266	45	5	k	k	PROPN
ijassa-266	45	6	is	be	AUX
ijassa-266	45	7	rooster	rooster	NOUN
ijassa-266	45	8	index	index	NOUN
ijassa-266	45	9	,	,	PUNCT
ijassa-266	45	10	i	i	PRON
ijassa-266	45	11	is	be	AUX
ijassa-266	45	12	the	the	DET
ijassa-266	45	13	related	relate	VERB
ijassa-266	45	14	position	position	NOUN
ijassa-266	45	15	and	and	CCONJ
ijassa-266	45	16	ε	ε	PROPN
ijassa-266	45	17	is	be	AUX
ijassa-266	45	18	the	the	DET
ijassa-266	45	19	smallest	small	ADJ
ijassa-266	45	20	integer	integer	NOUN
ijassa-266	45	21	number	number	NOUN
ijassa-266	45	22	in	in	ADP
ijassa-266	45	23	the	the	DET
ijassa-266	45	24	computer	computer	NOUN
ijassa-266	45	25	used	use	VERB
ijassa-266	45	26	to	to	PART
ijassa-266	45	27	avoid	avoid	VERB
ijassa-266	45	28	zero	zero	NUM
ijassa-266	45	29	-	-	PUNCT
ijassa-266	45	30	division	division	NOUN
ijassa-266	45	31	-	-	PUNCT
ijassa-266	45	32	error	error	NOUN
ijassa-266	45	33	.	.	PUNCT
ijassa-266	46	1	second	second	ADJ
ijassa-266	46	2	movement	movement	NOUN
ijassa-266	46	3	is	be	AUX
ijassa-266	46	4	hen	hen	NOUN
ijassa-266	46	5	’s	’s	PART
ijassa-266	46	6	;	;	PUNCT
ijassa-266	46	7	hens	hen	NOUN
ijassa-266	46	8	follow	follow	VERB
ijassa-266	46	9	the	the	DET
ijassa-266	46	10	roosters	rooster	NOUN
ijassa-266	46	11	to	to	PART
ijassa-266	46	12	search	search	VERB
ijassa-266	46	13	for	for	ADP
ijassa-266	46	14	food	food	NOUN
ijassa-266	46	15	and	and	CCONJ
ijassa-266	46	16	their	their	PRON
ijassa-266	46	17	movement	movement	NOUN
ijassa-266	46	18	is	be	AUX
ijassa-266	46	19	defined	define	VERB
ijassa-266	46	20	in	in	ADP
ijassa-266	46	21	eq	eq	NOUN
ijassa-266	46	22	.	.	PROPN
ijassa-266	46	23	3	3	NUM
ijassa-266	46	24	–	–	PUNCT
ijassa-266	46	25	eq	eq	NOUN
ijassa-266	46	26	.	.	PROPN
ijassa-266	46	27	5	5	NUM
ijassa-266	46	28	:	:	PUNCT
ijassa-266	46	29	(	(	PUNCT
ijassa-266	46	30	3	3	X
ijassa-266	46	31	)	)	PUNCT
ijassa-266	46	32	(	(	PUNCT
ijassa-266	46	33	4	4	NUM
ijassa-266	46	34	)	)	PUNCT
ijassa-266	46	35	(	(	PUNCT
ijassa-266	46	36	5	5	X
ijassa-266	46	37	)	)	PUNCT
ijassa-266	46	38	severity	severity	NOUN
ijassa-266	46	39	of	of	ADP
ijassa-266	46	40	breast	breast	NOUN
ijassa-266	46	41	masses	masse	NOUN
ijassa-266	46	42	prediction	prediction	VERB
ijassa-266	46	43	in	in	ADP
ijassa-266	46	44	mammograms	mammogram	NOUN
ijassa-266	46	45	24	24	NUM
ijassa-266	46	46	copyright	copyright	NOUN
ijassa-266	46	47	©	©	PROPN
ijassa-266	46	48	2018	2018	NUM
ijassa-266	46	49	assa	assa	NOUN
ijassa-266	46	50	.	.	PUNCT
ijassa-266	47	1	adv	adv	PROPN
ijassa-266	47	2	.	.	PUNCT
ijassa-266	48	1	in	in	ADP
ijassa-266	48	2	systems	system	NOUN
ijassa-266	48	3	science	science	NOUN
ijassa-266	48	4	and	and	CCONJ
ijassa-266	48	5	appl	appl	NOUN
ijassa-266	48	6	.	.	PUNCT
ijassa-266	49	1	(	(	PUNCT
ijassa-266	49	2	2018	2018	NUM
ijassa-266	49	3	)	)	PUNCT
ijassa-266	49	4	where	where	SCONJ
ijassa-266	49	5	r1	r1	PROPN
ijassa-266	49	6	and	and	CCONJ
ijassa-266	49	7	r2	r2	PROPN
ijassa-266	49	8	are	be	AUX
ijassa-266	49	9	the	the	DET
ijassa-266	49	10	indices	index	NOUN
ijassa-266	49	11	of	of	ADP
ijassa-266	49	12	the	the	DET
ijassa-266	49	13	rooster	rooster	NOUN
ijassa-266	49	14	and	and	CCONJ
ijassa-266	49	15	the	the	DET
ijassa-266	49	16	randomly	randomly	ADV
ijassa-266	49	17	chosen	choose	VERB
ijassa-266	49	18	chicken	chicken	NOUN
ijassa-266	49	19	(	(	PUNCT
ijassa-266	49	20	rooster	rooster	NOUN
ijassa-266	49	21	or	or	CCONJ
ijassa-266	49	22	hen	hen	NOUN
ijassa-266	49	23	)	)	PUNCT
ijassa-266	49	24	,	,	PUNCT
ijassa-266	49	25	r1	r1	NOUN
ijassa-266	49	26	≠	≠	ADJ
ijassa-266	49	27	r2	r2	NOUN
ijassa-266	49	28	,	,	PUNCT
ijassa-266	49	29	and	and	CCONJ
ijassa-266	49	30	rand	rand	NOUN
ijassa-266	49	31	is	be	AUX
ijassa-266	49	32	a	a	DET
ijassa-266	49	33	uniform	uniform	ADJ
ijassa-266	49	34	random	random	ADJ
ijassa-266	49	35	value	value	NOUN
ijassa-266	49	36	between	between	ADP
ijassa-266	49	37	[	[	X
ijassa-266	49	38	0	0	NUM
ijassa-266	49	39	,	,	PUNCT
ijassa-266	49	40	1	1	NUM
ijassa-266	49	41	]	]	PUNCT
ijassa-266	49	42	.	.	PUNCT
ijassa-266	50	1	third	third	ADJ
ijassa-266	50	2	movement	movement	NOUN
ijassa-266	50	3	is	be	AUX
ijassa-266	50	4	the	the	DET
ijassa-266	50	5	movements	movement	NOUN
ijassa-266	50	6	of	of	ADP
ijassa-266	50	7	the	the	DET
ijassa-266	50	8	chicks	chick	NOUN
ijassa-266	50	9	which	which	PRON
ijassa-266	50	10	follow	follow	VERB
ijassa-266	50	11	their	their	PRON
ijassa-266	50	12	mothers	mother	NOUN
ijassa-266	50	13	,	,	PUNCT
ijassa-266	50	14	defined	define	VERB
ijassa-266	50	15	in	in	ADP
ijassa-266	50	16	eq	eq	NOUN
ijassa-266	50	17	.	.	PROPN
ijassa-266	51	1	6	6	NUM
ijassa-266	51	2	:	:	PUNCT
ijassa-266	51	3	(	(	PUNCT
ijassa-266	51	4	6	6	NUM
ijassa-266	51	5	)	)	PUNCT
ijassa-266	51	6	where	where	SCONJ
ijassa-266	51	7	xm	xm	PROPN
ijassa-266	51	8	,	,	PUNCT
ijassa-266	51	9	j	j	PROPN
ijassa-266	51	10	is	be	AUX
ijassa-266	51	11	the	the	DET
ijassa-266	51	12	position	position	NOUN
ijassa-266	51	13	of	of	ADP
ijassa-266	51	14	the	the	DET
ijassa-266	51	15	chick	chick	NOUN
ijassa-266	51	16	’s	’s	PART
ijassa-266	51	17	mother	mother	NOUN
ijassa-266	51	18	,	,	PUNCT
ijassa-266	51	19	and	and	CCONJ
ijassa-266	51	20	l	l	NOUN
ijassa-266	51	21	is	be	AUX
ijassa-266	51	22	a	a	DET
ijassa-266	51	23	randomly	randomly	ADV
ijassa-266	51	24	chosen	choose	VERB
ijassa-266	51	25	parameter	parameter	NOUN
ijassa-266	51	26	between	between	ADP
ijassa-266	51	27	0	0	NUM
ijassa-266	51	28	and	and	CCONJ
ijassa-266	51	29	2	2	NUM
ijassa-266	51	30	.	.	NOUN
ijassa-266	51	31	2.2	2.2	NUM
ijassa-266	51	32	.	.	PUNCT
ijassa-266	52	1	naive	naive	ADJ
ijassa-266	52	2	bayesian	bayesian	NOUN
ijassa-266	52	3	classifier	classifier	NOUN
ijassa-266	52	4	the	the	DET
ijassa-266	52	5	bayesian	bayesian	NOUN
ijassa-266	52	6	classifier	classifier	NOUN
ijassa-266	52	7	represents	represent	VERB
ijassa-266	52	8	a	a	DET
ijassa-266	52	9	statistical	statistical	ADJ
ijassa-266	52	10	classification	classification	NOUN
ijassa-266	52	11	algorithm	algorithm	NOUN
ijassa-266	52	12	as	as	ADV
ijassa-266	52	13	well	well	ADV
ijassa-266	52	14	as	as	ADP
ijassa-266	52	15	a	a	DET
ijassa-266	52	16	supervised	supervised	ADJ
ijassa-266	52	17	learning	learning	NOUN
ijassa-266	52	18	method	method	NOUN
ijassa-266	52	19	for	for	ADP
ijassa-266	52	20	classification	classification	NOUN
ijassa-266	52	21	based	base	VERB
ijassa-266	52	22	on	on	ADP
ijassa-266	52	23	bayes	bayes	PROPN
ijassa-266	52	24	theorem	theorem	VERB
ijassa-266	52	25	[	[	X
ijassa-266	52	26	8	8	NUM
ijassa-266	52	27	]	]	PUNCT
ijassa-266	52	28	.	.	PUNCT
ijassa-266	53	1	assuming	assume	VERB
ijassa-266	53	2	a	a	DET
ijassa-266	53	3	probabilistic	probabilistic	ADJ
ijassa-266	53	4	model	model	NOUN
ijassa-266	53	5	,	,	PUNCT
ijassa-266	53	6	in	in	ADP
ijassa-266	53	7	bayes	bayes	PROPN
ijassa-266	53	8	theorem	theorem	VERB
ijassa-266	53	9	,	,	PUNCT
ijassa-266	53	10	posterior	posterior	ADJ
ijassa-266	53	11	probability	probability	NOUN
ijassa-266	53	12	of	of	ADP
ijassa-266	53	13	a	a	DET
ijassa-266	53	14	data	data	NOUN
ijassa-266	53	15	sample	sample	NOUN
ijassa-266	53	16	x	x	PUNCT
ijassa-266	53	17	with	with	SCONJ
ijassa-266	53	18	unknown	unknown	ADJ
ijassa-266	53	19	class	class	NOUN
ijassa-266	53	20	label	label	NOUN
ijassa-266	53	21	is	be	AUX
ijassa-266	53	22	calculated	calculate	VERB
ijassa-266	53	23	as	as	ADP
ijassa-266	53	24	in	in	ADP
ijassa-266	53	25	eq	eq	NOUN
ijassa-266	53	26	.	.	PROPN
ijassa-266	54	1	7	7	X
ijassa-266	54	2	.	.	X
ijassa-266	54	3	(	(	PUNCT
ijassa-266	54	4	7	7	NUM
ijassa-266	54	5	)	)	PUNCT
ijassa-266	54	6	where	where	SCONJ
ijassa-266	54	7	each	each	DET
ijassa-266	54	8	data	datum	NOUN
ijassa-266	54	9	sample	sample	NOUN
ijassa-266	54	10	is	be	AUX
ijassa-266	54	11	represented	represent	VERB
ijassa-266	54	12	by	by	ADP
ijassa-266	54	13	an	an	DET
ijassa-266	54	14	n	n	ADV
ijassa-266	54	15	-	-	PUNCT
ijassa-266	54	16	dimensional	dimensional	ADJ
ijassa-266	54	17	feature	feature	NOUN
ijassa-266	54	18	vector	vector	NOUN
ijassa-266	54	19	,	,	PUNCT
ijassa-266	54	20	x	x	SYM
ijassa-266	54	21	=	=	SYM
ijassa-266	54	22	(	(	PUNCT
ijassa-266	54	23	x1	x1	PROPN
ijassa-266	54	24	,	,	PUNCT
ijassa-266	54	25	x2	x2	PROPN
ijassa-266	54	26	....	....	PUNCT
ijassa-266	54	27	xn	xn	NUM
ijassa-266	54	28	)	)	PUNCT
ijassa-266	55	1	and	and	CCONJ
ijassa-266	55	2	h	h	NOUN
ijassa-266	55	3	is	be	AUX
ijassa-266	55	4	some	some	DET
ijassa-266	55	5	hypothesis	hypothesis	NOUN
ijassa-266	55	6	,	,	PUNCT
ijassa-266	55	7	such	such	ADJ
ijassa-266	55	8	that	that	SCONJ
ijassa-266	55	9	the	the	DET
ijassa-266	55	10	data	data	NOUN
ijassa-266	55	11	sample	sample	NOUN
ijassa-266	55	12	x	x	PUNCT
ijassa-266	55	13	belongs	belong	VERB
ijassa-266	55	14	to	to	ADP
ijassa-266	55	15	a	a	DET
ijassa-266	55	16	specified	specified	ADJ
ijassa-266	55	17	class	class	NOUN
ijassa-266	55	18	label	label	NOUN
ijassa-266	55	19	l1	l1	PROPN
ijassa-266	55	20	,	,	PUNCT
ijassa-266	55	21	l2	l2	NOUN
ijassa-266	55	22	....	....	PUNCT
ijassa-266	56	1	lm	lm	INTJ
ijassa-266	56	2	.	.	PUNCT
ijassa-266	57	1	the	the	DET
ijassa-266	57	2	nb	nb	PROPN
ijassa-266	57	3	classifier	classifier	NOUN
ijassa-266	57	4	will	will	AUX
ijassa-266	57	5	predict	predict	VERB
ijassa-266	57	6	that	that	SCONJ
ijassa-266	57	7	the	the	DET
ijassa-266	57	8	given	give	VERB
ijassa-266	57	9	data	data	NOUN
ijassa-266	57	10	sample	sample	NOUN
ijassa-266	57	11	x	x	PUNCT
ijassa-266	57	12	belongs	belong	VERB
ijassa-266	57	13	to	to	ADP
ijassa-266	57	14	the	the	DET
ijassa-266	57	15	class	class	NOUN
ijassa-266	57	16	label	label	NOUN
ijassa-266	57	17	li	li	PROPN
ijassa-266	57	18	that	that	PRON
ijassa-266	57	19	have	have	VERB
ijassa-266	57	20	the	the	DET
ijassa-266	57	21	higher	high	ADJ
ijassa-266	57	22	posterior	posterior	ADJ
ijassa-266	57	23	probability	probability	NOUN
ijassa-266	57	24	,	,	PUNCT
ijassa-266	57	25	i.e.	i.e.	X
ijassa-266	57	26	for	for	ADP
ijassa-266	57	27	p	p	PROPN
ijassa-266	57	28	(	(	PUNCT
ijassa-266	57	29	li	li	PROPN
ijassa-266	57	30	|	|	ADV
ijassa-266	57	31	x	x	NOUN
ijassa-266	57	32	)	)	PUNCT
ijassa-266	57	33	is	be	AUX
ijassa-266	57	34	the	the	DET
ijassa-266	57	35	maximum	maximum	ADJ
ijassa-266	58	1	[	[	X
ijassa-266	58	2	9	9	NUM
ijassa-266	58	3	]	]	PUNCT
ijassa-266	58	4	.	.	PUNCT
ijassa-266	59	1	for	for	ADP
ijassa-266	59	2	1	1	NUM
ijassa-266	59	3	≤	≤	NUM
ijassa-266	59	4	j	j	PROPN
ijassa-266	59	5	≤	≤	ADV
ijassa-266	59	6	m	m	VERB
ijassa-266	59	7	(	(	PUNCT
ijassa-266	59	8	8)	8)	NUM
ijassa-266	59	9	2.3	2.3	NUM
ijassa-266	59	10	.	.	PUNCT
ijassa-266	60	1	the	the	DET
ijassa-266	60	2	dataset	dataset	NOUN
ijassa-266	60	3	researchers	researcher	NOUN
ijassa-266	60	4	proposed	propose	VERB
ijassa-266	60	5	several	several	ADJ
ijassa-266	60	6	(	(	PUNCT
ijassa-266	60	7	cad	cad	NOUN
ijassa-266	60	8	)	)	PUNCT
ijassa-266	60	9	computer	computer	NOUN
ijassa-266	60	10	aided	aid	VERB
ijassa-266	60	11	diagnostic	diagnostic	ADJ
ijassa-266	60	12	systems	system	NOUN
ijassa-266	60	13	in	in	ADP
ijassa-266	60	14	the	the	DET
ijassa-266	60	15	last	last	ADJ
ijassa-266	60	16	few	few	ADJ
ijassa-266	60	17	years	year	NOUN
ijassa-266	60	18	.	.	PUNCT
ijassa-266	61	1	these	these	DET
ijassa-266	61	2	systems	system	NOUN
ijassa-266	61	3	help	help	VERB
ijassa-266	61	4	doctors	doctor	NOUN
ijassa-266	61	5	in	in	ADP
ijassa-266	61	6	deciding	decide	VERB
ijassa-266	61	7	to	to	PART
ijassa-266	61	8	perform	perform	VERB
ijassa-266	61	9	short	short	ADJ
ijassa-266	61	10	term	term	NOUN
ijassa-266	61	11	follow	follow	VERB
ijassa-266	61	12	-	-	PUNCT
ijassa-266	61	13	up	up	NOUN
ijassa-266	61	14	examination	examination	NOUN
ijassa-266	61	15	or	or	CCONJ
ijassa-266	61	16	proceed	proceed	VERB
ijassa-266	61	17	a	a	DET
ijassa-266	61	18	breast	breast	NOUN
ijassa-266	61	19	biopsy	biopsy	NOUN
ijassa-266	61	20	on	on	ADP
ijassa-266	61	21	a	a	DET
ijassa-266	61	22	suspicious	suspicious	ADJ
ijassa-266	61	23	lesion	lesion	NOUN
ijassa-266	61	24	seen	see	VERB
ijassa-266	61	25	in	in	ADP
ijassa-266	61	26	a	a	DET
ijassa-266	61	27	mammogram	mammogram	NOUN
ijassa-266	61	28	instead	instead	ADV
ijassa-266	61	29	.	.	PUNCT
ijassa-266	62	1	table	table	NOUN
ijassa-266	62	2	1	1	NUM
ijassa-266	62	3	.	.	PUNCT
ijassa-266	62	4	mammographic	mammographic	ADJ
ijassa-266	62	5	mass	mass	NOUN
ijassa-266	62	6	dataset	dataset	NOUN
ijassa-266	62	7	features	feature	VERB
ijassa-266	62	8	feature	feature	NOUN
ijassa-266	62	9	type	type	NOUN
ijassa-266	62	10	values	value	NOUN
ijassa-266	62	11	and	and	CCONJ
ijassa-266	62	12	labels	label	NOUN
ijassa-266	62	13	missing	miss	VERB
ijassa-266	62	14	values	value	NOUN
ijassa-266	62	15	bi	bi	ADJ
ijassa-266	62	16	-	-	ADJ
ijassa-266	62	17	rads	rads	ADJ
ijassa-266	62	18	ordinal	ordinal	ADJ
ijassa-266	62	19	(	(	PUNCT
ijassa-266	62	20	nonpredictive	nonpredictive	ADJ
ijassa-266	62	21	)	)	PUNCT
ijassa-266	62	22	0	0	NUM
ijassa-266	62	23	assessment	assessment	NOUN
ijassa-266	62	24	incomplete	incomplete	ADJ
ijassa-266	62	25	1	1	NUM
ijassa-266	62	26	negative	negative	ADJ
ijassa-266	62	27	(	(	PUNCT
ijassa-266	62	28	non	non	ADJ
ijassa-266	62	29	-	-	ADJ
ijassa-266	62	30	predictive	predictive	ADJ
ijassa-266	62	31	)	)	PUNCT
ijassa-266	62	32	2	2	NUM
ijassa-266	62	33	benign	benign	ADJ
ijassa-266	62	34	findings	finding	NOUN
ijassa-266	62	35	3	3	NUM
ijassa-266	62	36	probably	probably	ADV
ijassa-266	62	37	benign	benign	ADJ
ijassa-266	62	38	4	4	NUM
ijassa-266	62	39	suspicious	suspicious	ADJ
ijassa-266	62	40	abnormality	abnormality	NOUN
ijassa-266	62	41	5	5	NUM
ijassa-266	62	42	highly	highly	ADV
ijassa-266	62	43	suggestive	suggestive	ADJ
ijassa-266	62	44	of	of	ADP
ijassa-266	62	45	malignancy	malignancy	NOUN
ijassa-266	62	46	2	2	NUM
ijassa-266	62	47	age	age	NOUN
ijassa-266	62	48	integer	integer	NOUN
ijassa-266	62	49	18	18	NUM
ijassa-266	62	50	96	96	NUM
ijassa-266	62	51	(	(	PUNCT
ijassa-266	62	52	patient	patient	NOUN
ijassa-266	62	53	's	's	PART
ijassa-266	62	54	age	age	NOUN
ijassa-266	62	55	in	in	ADP
ijassa-266	62	56	years	year	NOUN
ijassa-266	62	57	)	)	PUNCT
ijassa-266	62	58	5	5	NUM
ijassa-266	62	59	shape	shape	NOUN
ijassa-266	62	60	nominal	nominal	ADJ
ijassa-266	62	61	1	1	NUM
ijassa-266	62	62	round	round	NOUN
ijassa-266	62	63	2	2	NUM
ijassa-266	62	64	oval	oval	NOUN
ijassa-266	62	65	3	3	NUM
ijassa-266	62	66	lobular	lobular	ADJ
ijassa-266	62	67	4	4	NUM
ijassa-266	62	68	irregular	irregular	ADJ
ijassa-266	62	69	31	31	NUM
ijassa-266	62	70	margin	margin	NOUN
ijassa-266	62	71	nominal	nominal	NOUN
ijassa-266	62	72	1	1	NUM
ijassa-266	62	73	circumscribed	circumscribed	ADJ
ijassa-266	62	74	2	2	NUM
ijassa-266	62	75	microlobulated	microlobulated	ADJ
ijassa-266	62	76	3	3	NUM
ijassa-266	62	77	obscured	obscure	VERB
ijassa-266	62	78	4	4	NUM
ijassa-266	62	79	ill	ill	ADV
ijassa-266	62	80	-	-	PUNCT
ijassa-266	62	81	defined	define	VERB
ijassa-266	62	82	5	5	NUM
ijassa-266	62	83	spiculated	spiculate	VERB
ijassa-266	62	84	48	48	NUM
ijassa-266	62	85	density	density	NOUN
ijassa-266	62	86	ordinal	ordinal	ADJ
ijassa-266	62	87	1	1	NUM
ijassa-266	62	88	high	high	ADJ
ijassa-266	62	89	2	2	NUM
ijassa-266	62	90	iso	iso	NOUN
ijassa-266	62	91	3	3	NUM
ijassa-266	62	92	low	low	NOUN
ijassa-266	62	93	76	76	NUM
ijassa-266	62	94	15	15	NUM
ijassa-266	62	95	a.	a.	NOUN
ijassa-266	62	96	s.	s.	PROPN
ijassa-266	62	97	desuky	desuky	PROPN
ijassa-266	62	98	copyright	copyright	NOUN
ijassa-266	62	99	©	©	PROPN
ijassa-266	62	100	2018	2018	NUM
ijassa-266	62	101	assa	assa	NOUN
ijassa-266	62	102	.	.	PUNCT
ijassa-266	63	1	adv	adv	PROPN
ijassa-266	63	2	.	.	PUNCT
ijassa-266	64	1	in	in	ADP
ijassa-266	64	2	systems	system	NOUN
ijassa-266	64	3	science	science	NOUN
ijassa-266	64	4	and	and	CCONJ
ijassa-266	64	5	appl	appl	NOUN
ijassa-266	64	6	.	.	PUNCT
ijassa-266	65	1	(	(	PUNCT
ijassa-266	65	2	2018	2018	NUM
ijassa-266	65	3	)	)	PUNCT
ijassa-266	65	4	4	4	NUM
ijassa-266	65	5	fat	fat	ADV
ijassa-266	65	6	-	-	PUNCT
ijassa-266	65	7	containing	contain	VERB
ijassa-266	65	8	severity	severity	NOUN
ijassa-266	65	9	binominal	binominal	NOUN
ijassa-266	65	10	(	(	PUNCT
ijassa-266	65	11	goal	goal	NOUN
ijassa-266	65	12	field	field	NOUN
ijassa-266	65	13	)	)	PUNCT
ijassa-266	65	14	0	0	SYM
ijassa-266	65	15	benign	benign	ADJ
ijassa-266	65	16	1	1	NUM
ijassa-266	65	17	malignant	malignant	NOUN
ijassa-266	65	18	0	0	NUM
ijassa-266	65	19	bi	bi	NOUN
ijassa-266	65	20	-	-	NOUN
ijassa-266	65	21	rads	rad	NOUN
ijassa-266	65	22	(	(	PUNCT
ijassa-266	65	23	breast	breast	NOUN
ijassa-266	65	24	imaging	imaging	NOUN
ijassa-266	65	25	reporting	reporting	NOUN
ijassa-266	65	26	and	and	CCONJ
ijassa-266	65	27	data	datum	NOUN
ijassa-266	65	28	system	system	NOUN
ijassa-266	65	29	)	)	PUNCT
ijassa-266	65	30	is	be	AUX
ijassa-266	65	31	developed	develop	VERB
ijassa-266	65	32	to	to	PART
ijassa-266	65	33	standardize	standardize	VERB
ijassa-266	65	34	nomenclature	nomenclature	NOUN
ijassa-266	65	35	between	between	ADP
ijassa-266	65	36	radiologist	radiologist	NOUN
ijassa-266	65	37	and	and	CCONJ
ijassa-266	65	38	doctors	doctor	NOUN
ijassa-266	65	39	.	.	PUNCT
ijassa-266	66	1	bi	bi	ADJ
ijassa-266	66	2	-	-	ADJ
ijassa-266	66	3	rads	rad	NOUN
ijassa-266	66	4	assessment	assessment	NOUN
ijassa-266	66	5	is	be	AUX
ijassa-266	66	6	done	do	VERB
ijassa-266	66	7	based	base	VERB
ijassa-266	66	8	on	on	ADP
ijassa-266	66	9	shape	shape	NOUN
ijassa-266	66	10	,	,	PUNCT
ijassa-266	66	11	age	age	NOUN
ijassa-266	66	12	,	,	PUNCT
ijassa-266	66	13	margin	margin	NOUN
ijassa-266	66	14	density	density	NOUN
ijassa-266	66	15	.	.	PUNCT
ijassa-266	67	1	bi	bi	ADJ
ijassa-266	67	2	-	-	ADJ
ijassa-266	67	3	rads	rads	ADJ
ijassa-266	67	4	features	feature	NOUN
ijassa-266	67	5	and	and	CCONJ
ijassa-266	67	6	the	the	DET
ijassa-266	67	7	patient	patient	NOUN
ijassa-266	67	8	's	's	PART
ijassa-266	67	9	age	age	NOUN
ijassa-266	67	10	in	in	ADP
ijassa-266	67	11	mammographic	mammographic	ADJ
ijassa-266	67	12	data	datum	NOUN
ijassa-266	67	13	set	set	VERB
ijassa-266	67	14	can	can	AUX
ijassa-266	67	15	be	be	AUX
ijassa-266	67	16	used	use	VERB
ijassa-266	67	17	to	to	PART
ijassa-266	67	18	predict	predict	VERB
ijassa-266	67	19	the	the	DET
ijassa-266	67	20	severity	severity	NOUN
ijassa-266	67	21	of	of	ADP
ijassa-266	67	22	a	a	DET
ijassa-266	67	23	mammographic	mammographic	ADJ
ijassa-266	67	24	mass	mass	NOUN
ijassa-266	67	25	lesion	lesion	NOUN
ijassa-266	67	26	.	.	PUNCT
ijassa-266	68	1	this	this	DET
ijassa-266	68	2	data	datum	NOUN
ijassa-266	68	3	set	set	NOUN
ijassa-266	68	4	contains	contain	VERB
ijassa-266	68	5	the	the	DET
ijassa-266	68	6	patient	patient	NOUN
ijassa-266	68	7	's	's	PART
ijassa-266	68	8	age	age	NOUN
ijassa-266	68	9	,	,	PUNCT
ijassa-266	68	10	a	a	DET
ijassa-266	68	11	bi	bi	ADJ
ijassa-266	68	12	-	-	ADJ
ijassa-266	68	13	rads	rads	ADJ
ijassa-266	68	14	assessment	assessment	NOUN
ijassa-266	68	15	,	,	PUNCT
ijassa-266	68	16	and	and	CCONJ
ijassa-266	68	17	three	three	NUM
ijassa-266	68	18	bi	bi	ADJ
ijassa-266	68	19	-	-	ADJ
ijassa-266	68	20	rads	rad	NOUN
ijassa-266	68	21	features	feature	VERB
ijassa-266	68	22	together	together	ADV
ijassa-266	68	23	with	with	ADP
ijassa-266	68	24	the	the	DET
ijassa-266	68	25	class	class	NOUN
ijassa-266	68	26	feature	feature	NOUN
ijassa-266	68	27	(	(	PUNCT
ijassa-266	68	28	severity	severity	NOUN
ijassa-266	68	29	)	)	PUNCT
ijassa-266	68	30	for	for	ADP
ijassa-266	68	31	445	445	NUM
ijassa-266	68	32	malignant	malignant	ADJ
ijassa-266	68	33	and	and	CCONJ
ijassa-266	68	34	516	516	NUM
ijassa-266	68	35	benign	benign	ADJ
ijassa-266	68	36	masses	masse	NOUN
ijassa-266	68	37	that	that	PRON
ijassa-266	68	38	have	have	AUX
ijassa-266	68	39	been	be	AUX
ijassa-266	68	40	collected	collect	VERB
ijassa-266	68	41	and	and	CCONJ
ijassa-266	68	42	identified	identify	VERB
ijassa-266	68	43	on	on	ADP
ijassa-266	68	44	full	full	ADJ
ijassa-266	68	45	field	field	NOUN
ijassa-266	68	46	digital	digital	ADJ
ijassa-266	68	47	mammograms	mammogram	NOUN
ijassa-266	68	48	at	at	ADP
ijassa-266	68	49	the	the	DET
ijassa-266	68	50	institute	institute	NOUN
ijassa-266	68	51	of	of	ADP
ijassa-266	68	52	radiology	radiology	NOUN
ijassa-266	68	53	of	of	ADP
ijassa-266	68	54	the	the	DET
ijassa-266	68	55	university	university	NOUN
ijassa-266	68	56	erlangen	erlangen	PROPN
ijassa-266	68	57	-	-	PROPN
ijassa-266	68	58	nuremberg	nuremberg	PROPN
ijassa-266	68	59	between	between	ADP
ijassa-266	68	60	2003	2003	NUM
ijassa-266	68	61	and	and	CCONJ
ijassa-266	68	62	2006	2006	NUM
ijassa-266	68	63	.	.	PUNCT
ijassa-266	69	1	table	table	NOUN
ijassa-266	69	2	1	1	NUM
ijassa-266	69	3	shows	show	VERB
ijassa-266	69	4	that	that	SCONJ
ijassa-266	69	5	each	each	DET
ijassa-266	69	6	instance	instance	NOUN
ijassa-266	69	7	has	have	VERB
ijassa-266	69	8	bi	bi	ADJ
ijassa-266	69	9	-	-	ADJ
ijassa-266	69	10	rads	rads	ADJ
ijassa-266	69	11	features	feature	NOUN
ijassa-266	69	12	,	,	PUNCT
ijassa-266	69	13	age	age	NOUN
ijassa-266	69	14	,	,	PUNCT
ijassa-266	69	15	shape	shape	NOUN
ijassa-266	69	16	,	,	PUNCT
ijassa-266	69	17	margin	margin	NOUN
ijassa-266	69	18	,	,	PUNCT
ijassa-266	69	19	density	density	NOUN
ijassa-266	69	20	and	and	CCONJ
ijassa-266	69	21	severity	severity	NOUN
ijassa-266	69	22	features	feature	NOUN
ijassa-266	69	23	.	.	PUNCT
ijassa-266	70	1	mammographic	mammographic	ADJ
ijassa-266	70	2	data	datum	NOUN
ijassa-266	70	3	set	set	VERB
ijassa-266	70	4	includes	include	VERB
ijassa-266	70	5	162	162	NUM
ijassa-266	70	6	missing	miss	VERB
ijassa-266	70	7	values	value	NOUN
ijassa-266	70	8	[	[	X
ijassa-266	70	9	6	6	NUM
ijassa-266	70	10	,	,	PUNCT
ijassa-266	70	11	10	10	NUM
ijassa-266	70	12	]	]	PUNCT
ijassa-266	70	13	.	.	PUNCT
ijassa-266	71	1	2.4	2.4	NUM
ijassa-266	71	2	.	.	PUNCT
ijassa-266	71	3	naive	naive	ADJ
ijassa-266	71	4	bayes	baye	NOUN
ijassa-266	71	5	based	base	VERB
ijassa-266	71	6	on	on	ADP
ijassa-266	71	7	chicken	chicken	NOUN
ijassa-266	71	8	swarm	swarm	NOUN
ijassa-266	71	9	optimization	optimization	NOUN
ijassa-266	71	10	traditional	traditional	ADJ
ijassa-266	71	11	nbc	nbc	PROPN
ijassa-266	71	12	is	be	AUX
ijassa-266	71	13	a	a	DET
ijassa-266	71	14	statistical	statistical	ADJ
ijassa-266	71	15	classifier	classifier	NOUN
ijassa-266	71	16	with	with	ADP
ijassa-266	71	17	mutual	mutual	ADJ
ijassa-266	71	18	independency	independency	NOUN
ijassa-266	71	19	among	among	ADP
ijassa-266	71	20	the	the	DET
ijassa-266	71	21	features	feature	NOUN
ijassa-266	71	22	[	[	X
ijassa-266	71	23	4	4	NUM
ijassa-266	71	24	]	]	PUNCT
ijassa-266	71	25	.	.	PUNCT
ijassa-266	72	1	in	in	ADP
ijassa-266	72	2	the	the	DET
ijassa-266	72	3	medical	medical	ADJ
ijassa-266	72	4	domain	domain	NOUN
ijassa-266	72	5	,	,	PUNCT
ijassa-266	72	6	all	all	DET
ijassa-266	72	7	the	the	DET
ijassa-266	72	8	symptoms	symptom	NOUN
ijassa-266	72	9	do	do	AUX
ijassa-266	72	10	not	not	PART
ijassa-266	72	11	contribute	contribute	VERB
ijassa-266	72	12	equally	equally	ADV
ijassa-266	72	13	in	in	ADP
ijassa-266	72	14	diagnosing	diagnose	VERB
ijassa-266	72	15	a	a	DET
ijassa-266	72	16	specific	specific	ADJ
ijassa-266	72	17	disease	disease	NOUN
ijassa-266	72	18	.	.	PUNCT
ijassa-266	73	1	for	for	ADP
ijassa-266	73	2	example	example	NOUN
ijassa-266	73	3	,	,	PUNCT
ijassa-266	73	4	in	in	ADP
ijassa-266	73	5	heart	heart	NOUN
ijassa-266	73	6	disease	disease	NOUN
ijassa-266	73	7	domain	domain	NOUN
ijassa-266	73	8	,	,	PUNCT
ijassa-266	73	9	the	the	DET
ijassa-266	73	10	bmi	bmi	NOUN
ijassa-266	73	11	feature	feature	NOUN
ijassa-266	73	12	is	be	AUX
ijassa-266	73	13	having	have	VERB
ijassa-266	73	14	less	less	ADJ
ijassa-266	73	15	impact	impact	NOUN
ijassa-266	73	16	than	than	ADP
ijassa-266	73	17	the	the	DET
ijassa-266	73	18	prior	prior	ADJ
ijassa-266	73	19	-	-	PUNCT
ijassa-266	73	20	stroke	stroke	NOUN
ijassa-266	73	21	feature	feature	NOUN
ijassa-266	73	22	in	in	ADP
ijassa-266	73	23	predicting	predict	VERB
ijassa-266	73	24	the	the	DET
ijassa-266	73	25	probability	probability	NOUN
ijassa-266	73	26	of	of	ADP
ijassa-266	73	27	being	be	AUX
ijassa-266	73	28	heart	heart	NOUN
ijassa-266	73	29	patient	patient	NOUN
ijassa-266	73	30	[	[	X
ijassa-266	73	31	9	9	NUM
ijassa-266	73	32	]	]	PUNCT
ijassa-266	73	33	.	.	PUNCT
ijassa-266	74	1	in	in	ADP
ijassa-266	74	2	our	our	PRON
ijassa-266	74	3	proposed	propose	VERB
ijassa-266	74	4	work	work	NOUN
ijassa-266	74	5	called	call	VERB
ijassa-266	74	6	csonbc	csonbc	NOUN
ijassa-266	74	7	we	we	PRON
ijassa-266	74	8	assign	assign	VERB
ijassa-266	74	9	weights	weight	NOUN
ijassa-266	74	10	to	to	ADP
ijassa-266	74	11	each	each	DET
ijassa-266	74	12	feature	feature	NOUN
ijassa-266	74	13	according	accord	VERB
ijassa-266	74	14	to	to	ADP
ijassa-266	74	15	their	their	PRON
ijassa-266	74	16	efficiency	efficiency	NOUN
ijassa-266	74	17	in	in	ADP
ijassa-266	74	18	prediction	prediction	NOUN
ijassa-266	74	19	.	.	PUNCT
ijassa-266	75	1	we	we	PRON
ijassa-266	75	2	use	use	VERB
ijassa-266	75	3	cso	cso	PROPN
ijassa-266	75	4	technique	technique	NOUN
ijassa-266	75	5	to	to	PART
ijassa-266	75	6	learn	learn	VERB
ijassa-266	75	7	the	the	DET
ijassa-266	75	8	features	feature	NOUN
ijassa-266	75	9	weight	weight	NOUN
ijassa-266	75	10	in	in	ADP
ijassa-266	75	11	nbc	nbc	PROPN
ijassa-266	75	12	.	.	PUNCT
ijassa-266	76	1	no	no	DET
ijassa-266	76	2	information	information	NOUN
ijassa-266	76	3	or	or	CCONJ
ijassa-266	76	4	assumptions	assumption	NOUN
ijassa-266	76	5	are	be	AUX
ijassa-266	76	6	needed	need	VERB
ijassa-266	76	7	about	about	ADP
ijassa-266	76	8	the	the	DET
ijassa-266	76	9	weight	weight	NOUN
ijassa-266	76	10	in	in	ADP
ijassa-266	76	11	nbc	nbc	PROPN
ijassa-266	76	12	,	,	PUNCT
ijassa-266	76	13	the	the	DET
ijassa-266	76	14	mechanism	mechanism	NOUN
ijassa-266	76	15	of	of	ADP
ijassa-266	76	16	cso	cso	PROPN
ijassa-266	76	17	can	can	AUX
ijassa-266	76	18	help	help	VERB
ijassa-266	76	19	us	we	PRON
ijassa-266	76	20	get	get	VERB
ijassa-266	76	21	automatically	automatically	ADV
ijassa-266	76	22	the	the	DET
ijassa-266	76	23	optimal	optimal	ADJ
ijassa-266	76	24	weights	weight	NOUN
ijassa-266	76	25	.	.	PUNCT
ijassa-266	77	1	fig	fig	NOUN
ijassa-266	77	2	.	.	PUNCT
ijassa-266	78	1	1	1	NUM
ijassa-266	78	2	cso	cso	PROPN
ijassa-266	78	3	-	-	PUNCT
ijassa-266	78	4	nb	nb	PROPN
ijassa-266	78	5	classification	classification	NOUN
ijassa-266	78	6	technique	technique	NOUN
ijassa-266	78	7	we	we	PRON
ijassa-266	78	8	use	use	VERB
ijassa-266	78	9	the	the	DET
ijassa-266	78	10	weight	weight	NOUN
ijassa-266	78	11	to	to	PART
ijassa-266	78	12	increase	increase	VERB
ijassa-266	78	13	the	the	DET
ijassa-266	78	14	classification	classification	NOUN
ijassa-266	78	15	performance	performance	NOUN
ijassa-266	78	16	of	of	ADP
ijassa-266	78	17	the	the	DET
ijassa-266	78	18	nbc	nbc	PROPN
ijassa-266	78	19	.	.	PUNCT
ijassa-266	79	1	a	a	DET
ijassa-266	79	2	high	high	ADJ
ijassa-266	79	3	weight	weight	NOUN
ijassa-266	79	4	will	will	AUX
ijassa-266	79	5	be	be	AUX
ijassa-266	79	6	assigned	assign	VERB
ijassa-266	79	7	to	to	ADP
ijassa-266	79	8	features	feature	NOUN
ijassa-266	79	9	that	that	PRON
ijassa-266	79	10	have	have	VERB
ijassa-266	79	11	more	more	ADJ
ijassa-266	79	12	impact	impact	NOUN
ijassa-266	79	13	in	in	ADP
ijassa-266	79	14	prediction	prediction	NOUN
ijassa-266	79	15	and	and	CCONJ
ijassa-266	79	16	low	low	ADJ
ijassa-266	79	17	weight	weight	NOUN
ijassa-266	79	18	are	be	AUX
ijassa-266	79	19	assigned	assign	VERB
ijassa-266	79	20	to	to	ADP
ijassa-266	79	21	features	feature	NOUN
ijassa-266	79	22	that	that	PRON
ijassa-266	79	23	have	have	VERB
ijassa-266	79	24	less	less	ADJ
ijassa-266	79	25	impact	impact	NOUN
ijassa-266	79	26	.	.	PUNCT
ijassa-266	80	1	so	so	ADV
ijassa-266	80	2	,	,	PUNCT
ijassa-266	80	3	our	our	PRON
ijassa-266	80	4	main	main	ADJ
ijassa-266	80	5	aim	aim	NOUN
ijassa-266	80	6	is	be	AUX
ijassa-266	80	7	to	to	PART
ijassa-266	80	8	get	get	VERB
ijassa-266	80	9	optimum	optimum	ADJ
ijassa-266	80	10	weight	weight	NOUN
ijassa-266	80	11	configuration	configuration	NOUN
ijassa-266	80	12	that	that	PRON
ijassa-266	80	13	gives	give	VERB
ijassa-266	80	14	the	the	DET
ijassa-266	80	15	highest	high	ADJ
ijassa-266	80	16	accuracy	accuracy	NOUN
ijassa-266	80	17	for	for	ADP
ijassa-266	80	18	cso	cso	PROPN
ijassa-266	80	19	-	-	PUNCT
ijassa-266	80	20	nbc	nbc	PROPN
ijassa-266	80	21	.	.	PUNCT
ijassa-266	81	1	the	the	DET
ijassa-266	81	2	major	major	ADJ
ijassa-266	81	3	steps	step	NOUN
ijassa-266	81	4	of	of	ADP
ijassa-266	81	5	the	the	DET
ijassa-266	81	6	working	working	NOUN
ijassa-266	81	7	technique	technique	NOUN
ijassa-266	81	8	are	be	AUX
ijassa-266	81	9	shown	show	VERB
ijassa-266	81	10	in	in	ADP
ijassa-266	81	11	figure	figure	NOUN
ijassa-266	81	12	1	1	NUM
ijassa-266	81	13	and	and	CCONJ
ijassa-266	81	14	described	describe	VERB
ijassa-266	81	15	as	as	SCONJ
ijassa-266	81	16	follows	follow	VERB
ijassa-266	81	17	:	:	PUNCT
ijassa-266	81	18	severity	severity	NOUN
ijassa-266	81	19	of	of	ADP
ijassa-266	81	20	breast	breast	NOUN
ijassa-266	81	21	masses	masse	NOUN
ijassa-266	81	22	prediction	prediction	VERB
ijassa-266	81	23	in	in	ADP
ijassa-266	81	24	mammograms	mammogram	NOUN
ijassa-266	81	25	26	26	NUM
ijassa-266	81	26	copyright	copyright	NOUN
ijassa-266	81	27	©	©	PROPN
ijassa-266	81	28	2018	2018	NUM
ijassa-266	81	29	assa	assa	NOUN
ijassa-266	81	30	.	.	PUNCT
ijassa-266	82	1	adv	adv	PROPN
ijassa-266	82	2	.	.	PUNCT
ijassa-266	83	1	in	in	ADP
ijassa-266	83	2	systems	system	NOUN
ijassa-266	83	3	science	science	NOUN
ijassa-266	83	4	and	and	CCONJ
ijassa-266	83	5	appl	appl	NOUN
ijassa-266	83	6	.	.	PUNCT
ijassa-266	84	1	(	(	PUNCT
ijassa-266	84	2	2018	2018	NUM
ijassa-266	84	3	)	)	PUNCT
ijassa-266	84	4	first	first	ADJ
ijassa-266	84	5	step	step	NOUN
ijassa-266	84	6	:	:	PUNCT
ijassa-266	84	7	the	the	DET
ijassa-266	84	8	mammographic	mammographic	ADJ
ijassa-266	84	9	mass	mass	NOUN
ijassa-266	84	10	data	datum	NOUN
ijassa-266	84	11	is	be	AUX
ijassa-266	84	12	preprocessed	preprocesse	VERB
ijassa-266	84	13	divided	divide	VERB
ijassa-266	84	14	into	into	ADP
ijassa-266	84	15	training	training	NOUN
ijassa-266	84	16	and	and	CCONJ
ijassa-266	84	17	testing	testing	NOUN
ijassa-266	84	18	sets	set	NOUN
ijassa-266	84	19	then	then	ADV
ijassa-266	84	20	,	,	PUNCT
ijassa-266	84	21	the	the	DET
ijassa-266	84	22	nbc	nbc	PROPN
ijassa-266	84	23	applied	apply	VERB
ijassa-266	84	24	on	on	ADP
ijassa-266	84	25	it	it	PRON
ijassa-266	84	26	firstly	firstly	ADV
ijassa-266	84	27	to	to	PART
ijassa-266	84	28	measure	measure	VERB
ijassa-266	84	29	the	the	DET
ijassa-266	84	30	nb	nb	NOUN
ijassa-266	84	31	classification	classification	NOUN
ijassa-266	84	32	performance	performance	NOUN
ijassa-266	84	33	.	.	PUNCT
ijassa-266	85	1	second	second	ADJ
ijassa-266	85	2	step	step	NOUN
ijassa-266	85	3	:	:	PUNCT
ijassa-266	85	4	an	an	DET
ijassa-266	85	5	initial	initial	ADJ
ijassa-266	85	6	generation	generation	NOUN
ijassa-266	85	7	for	for	ADP
ijassa-266	85	8	weight	weight	NOUN
ijassa-266	85	9	individuals	individual	NOUN
ijassa-266	85	10	(	(	PUNCT
ijassa-266	85	11	chickens	chicken	NOUN
ijassa-266	85	12	)	)	PUNCT
ijassa-266	85	13	is	be	AUX
ijassa-266	85	14	formed	form	VERB
ijassa-266	85	15	in	in	ADP
ijassa-266	85	16	a	a	DET
ijassa-266	85	17	random	random	ADJ
ijassa-266	85	18	manner	manner	NOUN
ijassa-266	85	19	.	.	PUNCT
ijassa-266	86	1	each	each	DET
ijassa-266	86	2	chicken	chicken	NOUN
ijassa-266	86	3	swarm	swarm	NOUN
ijassa-266	86	4	is	be	AUX
ijassa-266	86	5	a	a	DET
ijassa-266	86	6	vector	vector	NOUN
ijassa-266	86	7	of	of	ADP
ijassa-266	86	8	all	all	DET
ijassa-266	86	9	weight	weight	NOUN
ijassa-266	86	10	variables	variable	NOUN
ijassa-266	86	11	ranging	range	VERB
ijassa-266	86	12	from	from	ADP
ijassa-266	86	13	-10	-10	PUNCT
ijassa-266	86	14	to	to	ADP
ijassa-266	86	15	10	10	NUM
ijassa-266	86	16	.	.	PUNCT
ijassa-266	87	1	for	for	ADP
ijassa-266	87	2	the	the	DET
ijassa-266	87	3	weight	weight	NOUN
ijassa-266	87	4	individuals	individual	NOUN
ijassa-266	87	5	,	,	PUNCT
ijassa-266	87	6	the	the	DET
ijassa-266	87	7	generation	generation	NOUN
ijassa-266	87	8	size	size	NOUN
ijassa-266	87	9	n	n	PRON
ijassa-266	87	10	should	should	AUX
ijassa-266	87	11	be	be	AUX
ijassa-266	87	12	determined	determine	VERB
ijassa-266	87	13	first	first	ADV
ijassa-266	87	14	.	.	PUNCT
ijassa-266	88	1	third	third	ADJ
ijassa-266	88	2	step	step	NOUN
ijassa-266	88	3	:	:	PUNCT
ijassa-266	88	4	the	the	DET
ijassa-266	88	5	total	total	ADJ
ijassa-266	88	6	generation	generation	NOUN
ijassa-266	88	7	cost	cost	NOUN
ijassa-266	88	8	of	of	ADP
ijassa-266	88	9	each	each	DET
ijassa-266	88	10	chicken	chicken	NOUN
ijassa-266	88	11	is	be	AUX
ijassa-266	88	12	calculated	calculate	VERB
ijassa-266	88	13	.	.	PUNCT
ijassa-266	89	1	fourth	fourth	ADJ
ijassa-266	89	2	step	step	NOUN
ijassa-266	89	3	:	:	PUNCT
ijassa-266	89	4	generate	generate	VERB
ijassa-266	89	5	new	new	ADJ
ijassa-266	89	6	rooster	rooster	NOUN
ijassa-266	89	7	around	around	ADP
ijassa-266	89	8	the	the	DET
ijassa-266	89	9	global	global	ADJ
ijassa-266	89	10	best	good	ADJ
ijassa-266	89	11	swarm	swarm	NOUN
ijassa-266	89	12	by	by	ADP
ijassa-266	89	13	searching	search	VERB
ijassa-266	89	14	for	for	ADP
ijassa-266	89	15	the	the	DET
ijassa-266	89	16	best	good	ADJ
ijassa-266	89	17	fitness	fitness	NOUN
ijassa-266	89	18	index	index	NOUN
ijassa-266	89	19	and	and	CCONJ
ijassa-266	89	20	the	the	DET
ijassa-266	89	21	worst	bad	ADJ
ijassa-266	89	22	fitness	fitness	NOUN
ijassa-266	89	23	index	index	NOUN
ijassa-266	89	24	of	of	ADP
ijassa-266	89	25	chicken	chicken	NOUN
ijassa-266	89	26	swarm	swarm	NOUN
ijassa-266	89	27	in	in	ADP
ijassa-266	89	28	same	same	ADJ
ijassa-266	89	29	iteration	iteration	NOUN
ijassa-266	89	30	and	and	CCONJ
ijassa-266	89	31	store	store	VERB
ijassa-266	89	32	their	their	PRON
ijassa-266	89	33	indexes	index	NOUN
ijassa-266	89	34	;	;	PUNCT
ijassa-266	89	35	then	then	ADV
ijassa-266	89	36	,	,	PUNCT
ijassa-266	89	37	cso	cso	PROPN
ijassa-266	89	38	-	-	PUNCT
ijassa-266	89	39	nbc	nbc	PROPN
ijassa-266	89	40	replaces	replace	VERB
ijassa-266	89	41	the	the	DET
ijassa-266	89	42	worst	bad	ADJ
ijassa-266	89	43	index	index	NOUN
ijassa-266	89	44	with	with	ADP
ijassa-266	89	45	the	the	DET
ijassa-266	89	46	best	good	ADJ
ijassa-266	89	47	index	index	NOUN
ijassa-266	89	48	.	.	PUNCT
ijassa-266	90	1	fifth	fifth	ADJ
ijassa-266	90	2	step	step	NOUN
ijassa-266	90	3	:	:	PUNCT
ijassa-266	90	4	third	third	ADJ
ijassa-266	90	5	and	and	CCONJ
ijassa-266	90	6	fourth	fourth	ADJ
ijassa-266	90	7	steps	step	NOUN
ijassa-266	90	8	are	be	AUX
ijassa-266	90	9	repeated	repeat	VERB
ijassa-266	90	10	till	till	SCONJ
ijassa-266	90	11	get	get	VERB
ijassa-266	90	12	the	the	DET
ijassa-266	90	13	best	good	ADJ
ijassa-266	90	14	individual	individual	ADJ
ijassa-266	90	15	weight	weight	NOUN
ijassa-266	90	16	which	which	PRON
ijassa-266	90	17	is	be	AUX
ijassa-266	90	18	the	the	DET
ijassa-266	90	19	one	one	NOUN
ijassa-266	90	20	getting	get	VERB
ijassa-266	90	21	the	the	DET
ijassa-266	90	22	highest	high	ADJ
ijassa-266	90	23	classification	classification	NOUN
ijassa-266	90	24	accuracy	accuracy	NOUN
ijassa-266	90	25	.	.	PUNCT
ijassa-266	91	1	last	last	ADJ
ijassa-266	91	2	step	step	NOUN
ijassa-266	91	3	:	:	PUNCT
ijassa-266	91	4	the	the	DET
ijassa-266	91	5	test	test	NOUN
ijassa-266	91	6	instances	instance	NOUN
ijassa-266	91	7	can	can	AUX
ijassa-266	91	8	be	be	AUX
ijassa-266	91	9	classified	classify	VERB
ijassa-266	91	10	under	under	ADP
ijassa-266	91	11	the	the	DET
ijassa-266	91	12	learned	learn	VERB
ijassa-266	91	13	weight	weight	NOUN
ijassa-266	91	14	by	by	ADP
ijassa-266	91	15	cso	cso	PROPN
ijassa-266	91	16	-	-	PUNCT
ijassa-266	91	17	nbc	nbc	PROPN
ijassa-266	91	18	and	and	CCONJ
ijassa-266	91	19	the	the	DET
ijassa-266	91	20	performance	performance	NOUN
ijassa-266	91	21	measures	measure	NOUN
ijassa-266	91	22	can	can	AUX
ijassa-266	91	23	be	be	AUX
ijassa-266	91	24	determined	determine	VERB
ijassa-266	91	25	.	.	PUNCT
ijassa-266	92	1	3	3	X
ijassa-266	92	2	.	.	X
ijassa-266	92	3	experimental	experimental	ADJ
ijassa-266	92	4	results	result	VERB
ijassa-266	92	5	the	the	DET
ijassa-266	92	6	effectiveness	effectiveness	NOUN
ijassa-266	92	7	of	of	ADP
ijassa-266	92	8	any	any	DET
ijassa-266	92	9	diagnostic	diagnostic	ADJ
ijassa-266	92	10	system	system	NOUN
ijassa-266	92	11	is	be	AUX
ijassa-266	92	12	evaluated	evaluate	VERB
ijassa-266	92	13	by	by	ADP
ijassa-266	92	14	its	its	PRON
ijassa-266	92	15	ability	ability	NOUN
ijassa-266	92	16	to	to	PART
ijassa-266	92	17	give	give	VERB
ijassa-266	92	18	the	the	DET
ijassa-266	92	19	maximum	maximum	ADJ
ijassa-266	92	20	accurate	accurate	ADJ
ijassa-266	92	21	classification	classification	NOUN
ijassa-266	92	22	result	result	NOUN
ijassa-266	93	1	[	[	X
ijassa-266	93	2	11	11	NUM
ijassa-266	93	3	]	]	PUNCT
ijassa-266	93	4	.	.	PUNCT
ijassa-266	94	1	per	per	ADP
ijassa-266	94	2	the	the	DET
ijassa-266	94	3	real	real	ADJ
ijassa-266	94	4	nature	nature	NOUN
ijassa-266	94	5	for	for	ADP
ijassa-266	94	6	any	any	DET
ijassa-266	94	7	given	give	VERB
ijassa-266	94	8	case	case	NOUN
ijassa-266	94	9	and	and	CCONJ
ijassa-266	94	10	the	the	DET
ijassa-266	94	11	prediction	prediction	NOUN
ijassa-266	94	12	from	from	ADP
ijassa-266	94	13	diagnostic	diagnostic	ADJ
ijassa-266	94	14	system	system	NOUN
ijassa-266	94	15	,	,	PUNCT
ijassa-266	94	16	there	there	PRON
ijassa-266	94	17	are	be	VERB
ijassa-266	94	18	only	only	ADV
ijassa-266	94	19	four	four	NUM
ijassa-266	94	20	possible	possible	ADJ
ijassa-266	94	21	outcomes	outcome	NOUN
ijassa-266	94	22	,	,	PUNCT
ijassa-266	94	23	true	true	ADJ
ijassa-266	94	24	negatives	negative	NOUN
ijassa-266	94	25	(	(	PUNCT
ijassa-266	94	26	tn	tn	NOUN
ijassa-266	94	27	)	)	PUNCT
ijassa-266	94	28	as	as	ADV
ijassa-266	94	29	well	well	ADV
ijassa-266	94	30	as	as	ADP
ijassa-266	94	31	true	true	ADJ
ijassa-266	94	32	positives	positive	NOUN
ijassa-266	94	33	(	(	PUNCT
ijassa-266	94	34	tp	tp	NOUN
ijassa-266	94	35	)	)	PUNCT
ijassa-266	94	36	correspond	correspond	VERB
ijassa-266	94	37	to	to	ADP
ijassa-266	94	38	a	a	DET
ijassa-266	94	39	correct	correct	ADJ
ijassa-266	94	40	diagnosis	diagnosis	NOUN
ijassa-266	94	41	;	;	PUNCT
ijassa-266	94	42	that	that	PRON
ijassa-266	94	43	is	is	ADV
ijassa-266	94	44	,	,	PUNCT
ijassa-266	94	45	cases	case	NOUN
ijassa-266	94	46	are	be	AUX
ijassa-266	94	47	successfully	successfully	ADV
ijassa-266	94	48	labeled	label	VERB
ijassa-266	94	49	as	as	ADP
ijassa-266	94	50	uninfected	uninfected	ADJ
ijassa-266	94	51	and	and	CCONJ
ijassa-266	94	52	infected	infected	ADJ
ijassa-266	94	53	patients	patient	NOUN
ijassa-266	94	54	,	,	PUNCT
ijassa-266	94	55	respectively	respectively	ADV
ijassa-266	94	56	;	;	PUNCT
ijassa-266	94	57	false	false	ADJ
ijassa-266	94	58	positives	positive	NOUN
ijassa-266	94	59	(	(	PUNCT
ijassa-266	94	60	fp	fp	X
ijassa-266	94	61	)	)	PUNCT
ijassa-266	94	62	refer	refer	VERB
ijassa-266	94	63	to	to	ADP
ijassa-266	94	64	uninfected	uninfected	ADJ
ijassa-266	94	65	patient	patient	NOUN
ijassa-266	94	66	being	be	AUX
ijassa-266	94	67	classified	classify	VERB
ijassa-266	94	68	as	as	ADP
ijassa-266	94	69	infected	infect	VERB
ijassa-266	94	70	;	;	PUNCT
ijassa-266	94	71	false	false	ADJ
ijassa-266	94	72	negatives	negative	NOUN
ijassa-266	94	73	(	(	PUNCT
ijassa-266	94	74	fn	fn	NOUN
ijassa-266	94	75	)	)	PUNCT
ijassa-266	94	76	are	be	AUX
ijassa-266	94	77	infected	infect	VERB
ijassa-266	94	78	patients	patient	NOUN
ijassa-266	94	79	incorrectly	incorrectly	ADV
ijassa-266	94	80	classified	classify	VERB
ijassa-266	94	81	as	as	ADP
ijassa-266	94	82	uninfected	uninfected	ADJ
ijassa-266	94	83	.	.	PUNCT
ijassa-266	95	1	the	the	DET
ijassa-266	95	2	most	most	ADV
ijassa-266	95	3	popular	popular	ADJ
ijassa-266	95	4	performance	performance	NOUN
ijassa-266	95	5	metrics	metric	NOUN
ijassa-266	95	6	is	be	AUX
ijassa-266	95	7	accuracy	accuracy	NOUN
ijassa-266	95	8	which	which	PRON
ijassa-266	95	9	can	can	AUX
ijassa-266	95	10	be	be	AUX
ijassa-266	95	11	calculated	calculate	VERB
ijassa-266	95	12	as	as	ADP
ijassa-266	95	13	:	:	PUNCT
ijassa-266	95	14	n	n	CCONJ
ijassa-266	95	15	n	n	CCONJ
ijassa-266	95	16	n	n	CCONJ
ijassa-266	95	17	(	(	PUNCT
ijassa-266	95	18	9	9	NUM
ijassa-266	95	19	)	)	PUNCT
ijassa-266	95	20	to	to	PART
ijassa-266	95	21	evaluate	evaluate	VERB
ijassa-266	95	22	our	our	PRON
ijassa-266	95	23	system	system	NOUN
ijassa-266	95	24	(	(	PUNCT
ijassa-266	95	25	cso	cso	PROPN
ijassa-266	95	26	-	-	PUNCT
ijassa-266	95	27	nbc	nbc	PROPN
ijassa-266	95	28	)	)	PUNCT
ijassa-266	95	29	,	,	PUNCT
ijassa-266	95	30	besides	besides	SCONJ
ijassa-266	95	31	the	the	DET
ijassa-266	95	32	classical	classical	ADJ
ijassa-266	95	33	accuracy	accuracy	NOUN
ijassa-266	95	34	,	,	PUNCT
ijassa-266	95	35	the	the	DET
ijassa-266	95	36	standard	standard	ADJ
ijassa-266	95	37	metrics	metric	NOUN
ijassa-266	95	38	of	of	ADP
ijassa-266	95	39	sensitivity	sensitivity	NOUN
ijassa-266	95	40	,	,	PUNCT
ijassa-266	95	41	g	g	NOUN
ijassa-266	95	42	-	-	PUNCT
ijassa-266	95	43	mean	mean	NOUN
ijassa-266	95	44	(	(	PUNCT
ijassa-266	95	45	geometric	geometric	ADJ
ijassa-266	95	46	mean	mean	NOUN
ijassa-266	95	47	)	)	PUNCT
ijassa-266	95	48	,	,	PUNCT
ijassa-266	95	49	and	and	CCONJ
ijassa-266	95	50	f	f	X
ijassa-266	95	51	-	-	PUNCT
ijassa-266	95	52	measure	measure	NOUN
ijassa-266	95	53	have	have	AUX
ijassa-266	95	54	been	be	AUX
ijassa-266	95	55	used	use	VERB
ijassa-266	95	56	.	.	PUNCT
ijassa-266	96	1	n	n	X
ijassa-266	96	2	(	(	PUNCT
ijassa-266	96	3	10	10	NUM
ijassa-266	96	4	)	)	PUNCT
ijassa-266	96	5	(	(	PUNCT
ijassa-266	96	6	11	11	NUM
ijassa-266	96	7	)	)	SYM
ijassa-266	96	8	2	2	NUM
ijassa-266	96	9	2	2	NUM
ijassa-266	96	10	n	n	NOUN
ijassa-266	96	11	(	(	PUNCT
ijassa-266	96	12	12	12	NUM
ijassa-266	96	13	)	)	PUNCT
ijassa-266	96	14	a	a	DET
ijassa-266	96	15	diagnosis	diagnosis	NOUN
ijassa-266	96	16	system	system	NOUN
ijassa-266	96	17	should	should	AUX
ijassa-266	96	18	have	have	VERB
ijassa-266	96	19	a	a	DET
ijassa-266	96	20	high	high	ADJ
ijassa-266	96	21	accuracy	accuracy	NOUN
ijassa-266	96	22	,	,	PUNCT
ijassa-266	96	23	sensitivity	sensitivity	NOUN
ijassa-266	96	24	,	,	PUNCT
ijassa-266	96	25	g	g	NOUN
ijassa-266	96	26	-	-	PUNCT
ijassa-266	96	27	mean	mean	NOUN
ijassa-266	96	28	and	and	CCONJ
ijassa-266	96	29	f	f	X
ijassa-266	96	30	-	-	PUNCT
ijassa-266	96	31	measure	measure	NOUN
ijassa-266	96	32	[	[	X
ijassa-266	96	33	4,12	4,12	X
ijassa-266	96	34	]	]	PUNCT
ijassa-266	96	35	.	.	PUNCT
ijassa-266	97	1	he	he	PRON
ijassa-266	97	2	experiments	experiment	NOUN
ijassa-266	97	3	were	be	AUX
ijassa-266	97	4	implemented	implement	VERB
ijassa-266	97	5	on	on	ADP
ijassa-266	97	6	a	a	DET
ijassa-266	97	7	computer	computer	NOUN
ijassa-266	97	8	with	with	ADP
ijassa-266	97	9	intel	intel	PROPN
ijassa-266	97	10	core	core	NOUN
ijassa-266	97	11	™	™	ADJ
ijassa-266	97	12	i7	i7	NOUN
ijassa-266	97	13	processor	processor	NOUN
ijassa-266	97	14	and	and	CCONJ
ijassa-266	97	15	6	6	NUM
ijassa-266	97	16	gb	gb	NOUN
ijassa-266	97	17	ram	ram	NOUN
ijassa-266	97	18	running	run	VERB
ijassa-266	97	19	microsoft	microsoft	PROPN
ijassa-266	97	20	windows	windows	PROPN
ijassa-266	97	21	7	7	NUM
ijassa-266	97	22	professional	professional	ADJ
ijassa-266	97	23	and	and	CCONJ
ijassa-266	97	24	the	the	DET
ijassa-266	97	25	algorithm	algorithm	NOUN
ijassa-266	97	26	is	be	AUX
ijassa-266	97	27	coded	code	VERB
ijassa-266	97	28	in	in	ADP
ijassa-266	97	29	matlab	matlab	PROPN
ijassa-266	97	30	15	15	NUM
ijassa-266	97	31	.	.	PUNCT
ijassa-266	98	1	first	first	ADV
ijassa-266	98	2	,	,	PUNCT
ijassa-266	98	3	we	we	PRON
ijassa-266	98	4	replaced	replace	VERB
ijassa-266	98	5	all	all	DET
ijassa-266	98	6	the	the	DET
ijassa-266	98	7	missing	miss	VERB
ijassa-266	98	8	features	feature	NOUN
ijassa-266	98	9	values	value	NOUN
ijassa-266	98	10	substitute	substitute	VERB
ijassa-266	98	11	it	it	PRON
ijassa-266	98	12	with	with	ADP
ijassa-266	98	13	the	the	DET
ijassa-266	98	14	average	average	NOUN
ijassa-266	98	15	in	in	ADP
ijassa-266	98	16	the	the	DET
ijassa-266	98	17	mammographic	mammographic	ADJ
ijassa-266	98	18	mass	mass	NOUN
ijassa-266	98	19	dataset	dataset	NOUN
ijassa-266	98	20	then	then	ADV
ijassa-266	98	21	,	,	PUNCT
ijassa-266	98	22	applied	apply	VERB
ijassa-266	98	23	information	information	NOUN
ijassa-266	98	24	gain	gain	NOUN
ijassa-266	98	25	(	(	PUNCT
ijassa-266	98	26	ig	ig	NOUN
ijassa-266	98	27	)	)	PUNCT
ijassa-266	98	28	feature	feature	NOUN
ijassa-266	98	29	selection	selection	NOUN
ijassa-266	98	30	technique	technique	NOUN
ijassa-266	98	31	[	[	X
ijassa-266	98	32	13	13	NUM
ijassa-266	98	33	]	]	PUNCT
ijassa-266	98	34	,	,	PUNCT
ijassa-266	98	35	which	which	PRON
ijassa-266	98	36	is	be	AUX
ijassa-266	98	37	used	use	VERB
ijassa-266	98	38	to	to	PART
ijassa-266	98	39	evaluate	evaluate	VERB
ijassa-266	98	40	the	the	DET
ijassa-266	98	41	importance	importance	NOUN
ijassa-266	98	42	of	of	ADP
ijassa-266	98	43	a	a	DET
ijassa-266	98	44	feature	feature	NOUN
ijassa-266	98	45	by	by	ADP
ijassa-266	98	46	measuring	measure	VERB
ijassa-266	98	47	the	the	DET
ijassa-266	98	48	information	information	NOUN
ijassa-266	98	49	gain	gain	NOUN
ijassa-266	98	50	(	(	PUNCT
ijassa-266	98	51	entropy	entropy	PROPN
ijassa-266	98	52	)	)	PUNCT
ijassa-266	98	53	with	with	ADP
ijassa-266	98	54	regard	regard	NOUN
ijassa-266	98	55	to	to	ADP
ijassa-266	98	56	the	the	DET
ijassa-266	98	57	class	class	NOUN
ijassa-266	98	58	to	to	PART
ijassa-266	98	59	remove	remove	VERB
ijassa-266	98	60	useless	useless	ADJ
ijassa-266	98	61	features	feature	NOUN
ijassa-266	98	62	and	and	CCONJ
ijassa-266	98	63	improve	improve	VERB
ijassa-266	98	64	the	the	DET
ijassa-266	98	65	classification	classification	NOUN
ijassa-266	98	66	performance	performance	NOUN
ijassa-266	98	67	.	.	PUNCT
ijassa-266	99	1	the	the	DET
ijassa-266	99	2	instances	instance	NOUN
ijassa-266	99	3	are	be	AUX
ijassa-266	99	4	randomly	randomly	ADV
ijassa-266	99	5	divided	divide	VERB
ijassa-266	99	6	into	into	ADP
ijassa-266	99	7	training	training	NOUN
ijassa-266	99	8	and	and	CCONJ
ijassa-266	99	9	testing	testing	NOUN
ijassa-266	99	10	sets	set	NOUN
ijassa-266	99	11	in	in	ADP
ijassa-266	99	12	a	a	DET
ijassa-266	99	13	5	5	NUM
ijassa-266	99	14	-	-	PUNCT
ijassa-266	99	15	folds	fold	NOUN
ijassa-266	99	16	cross	cross	NOUN
ijassa-266	99	17	validation	validation	NOUN
ijassa-266	99	18	manner	manner	NOUN
ijassa-266	99	19	.	.	PUNCT
ijassa-266	100	1	the	the	DET
ijassa-266	100	2	used	use	VERB
ijassa-266	100	3	parameters	parameter	NOUN
ijassa-266	100	4	in	in	ADP
ijassa-266	100	5	evolution	evolution	NOUN
ijassa-266	100	6	were	be	AUX
ijassa-266	100	7	:	:	PUNCT
ijassa-266	100	8	100	100	NUM
ijassa-266	100	9	for	for	ADP
ijassa-266	100	10	population	population	NOUN
ijassa-266	100	11	size	size	NOUN
ijassa-266	100	12	,	,	PUNCT
ijassa-266	100	13	1000	1000	NUM
ijassa-266	100	14	generations	generation	NOUN
ijassa-266	100	15	(	(	PUNCT
ijassa-266	100	16	iterations	iteration	NOUN
ijassa-266	100	17	)	)	PUNCT
ijassa-266	100	18	and	and	CCONJ
ijassa-266	100	19	time	time	NOUN
ijassa-266	100	20	steps	step	NOUN
ijassa-266	100	21	(	(	PUNCT
ijassa-266	100	22	g=10	g=10	NOUN
ijassa-266	100	23	)	)	PUNCT
ijassa-266	100	24	.	.	PUNCT
ijassa-266	101	1	tables	table	NOUN
ijassa-266	101	2	2	2	NUM
ijassa-266	101	3	,	,	PUNCT
ijassa-266	101	4	3	3	NUM
ijassa-266	101	5	,	,	PUNCT
ijassa-266	101	6	4	4	NUM
ijassa-266	101	7	and	and	CCONJ
ijassa-266	101	8	5	5	NUM
ijassa-266	101	9	show	show	VERB
ijassa-266	101	10	the	the	DET
ijassa-266	101	11	performance	performance	NOUN
ijassa-266	101	12	evaluation	evaluation	NOUN
ijassa-266	101	13	:	:	PUNCT
ijassa-266	101	14	classification	classification	NOUN
ijassa-266	101	15	accuracy	accuracy	NOUN
ijassa-266	101	16	,	,	PUNCT
ijassa-266	101	17	sensitivity	sensitivity	NOUN
ijassa-266	101	18	,	,	PUNCT
ijassa-266	101	19	gmean	gmean	ADJ
ijassa-266	101	20	and	and	CCONJ
ijassa-266	101	21	f	f	NOUN
ijassa-266	101	22	-	-	PUNCT
ijassa-266	101	23	measure	measure	NOUN
ijassa-266	101	24	respectively	respectively	ADV
ijassa-266	101	25	of	of	ADP
ijassa-266	101	26	the	the	DET
ijassa-266	101	27	nb	nb	PROPN
ijassa-266	101	28	classifier	classifier	NOUN
ijassa-266	101	29	and	and	CCONJ
ijassa-266	101	30	the	the	DET
ijassa-266	101	31	proposed	propose	VERB
ijassa-266	101	32	technique	technique	NOUN
ijassa-266	101	33	using	use	VERB
ijassa-266	101	34	the	the	DET
ijassa-266	101	35	full	full	ADJ
ijassa-266	101	36	17	17	NUM
ijassa-266	101	37	a.	a.	NOUN
ijassa-266	101	38	s.	s.	PROPN
ijassa-266	101	39	desuky	desuky	PROPN
ijassa-266	101	40	copyright	copyright	NOUN
ijassa-266	101	41	©	©	PROPN
ijassa-266	101	42	2018	2018	NUM
ijassa-266	101	43	assa	assa	NOUN
ijassa-266	101	44	.	.	PUNCT
ijassa-266	102	1	adv	adv	PROPN
ijassa-266	102	2	.	.	PUNCT
ijassa-266	103	1	in	in	ADP
ijassa-266	103	2	systems	system	NOUN
ijassa-266	103	3	science	science	NOUN
ijassa-266	103	4	and	and	CCONJ
ijassa-266	103	5	appl	appl	NOUN
ijassa-266	103	6	.	.	PUNCT
ijassa-266	104	1	(	(	PUNCT
ijassa-266	104	2	2018	2018	NUM
ijassa-266	104	3	)	)	PUNCT
ijassa-266	104	4	mammographic	mammographic	ADJ
ijassa-266	104	5	mass	mass	NOUN
ijassa-266	104	6	dataset	dataset	NOUN
ijassa-266	104	7	features	feature	NOUN
ijassa-266	104	8	and	and	CCONJ
ijassa-266	104	9	the	the	DET
ijassa-266	104	10	subset	subset	NOUN
ijassa-266	104	11	of	of	ADP
ijassa-266	104	12	selected	select	VERB
ijassa-266	104	13	features	feature	NOUN
ijassa-266	104	14	after	after	ADP
ijassa-266	104	15	applying	apply	VERB
ijassa-266	104	16	information	information	NOUN
ijassa-266	104	17	gain	gain	NOUN
ijassa-266	104	18	technique	technique	NOUN
ijassa-266	104	19	and	and	CCONJ
ijassa-266	104	20	removing	remove	VERB
ijassa-266	104	21	“	"	PUNCT
ijassa-266	104	22	density	density	NOUN
ijassa-266	104	23	”	"	PUNCT
ijassa-266	104	24	feature	feature	NOUN
ijassa-266	104	25	.	.	PUNCT
ijassa-266	105	1	the	the	DET
ijassa-266	105	2	results	result	NOUN
ijassa-266	105	3	show	show	VERB
ijassa-266	105	4	a	a	DET
ijassa-266	105	5	perceivable	perceivable	ADJ
ijassa-266	105	6	improvement	improvement	NOUN
ijassa-266	105	7	in	in	ADP
ijassa-266	105	8	classification	classification	NOUN
ijassa-266	105	9	performance	performance	NOUN
ijassa-266	105	10	for	for	ADP
ijassa-266	105	11	cso	cso	PROPN
ijassa-266	105	12	-	-	PUNCT
ijassa-266	105	13	nbc	nbc	PROPN
ijassa-266	105	14	and	and	CCONJ
ijassa-266	105	15	show	show	VERB
ijassa-266	105	16	that	that	SCONJ
ijassa-266	105	17	with	with	ADP
ijassa-266	105	18	ig	ig	PROPN
ijassa-266	105	19	feature	feature	NOUN
ijassa-266	105	20	subset	subset	NOUN
ijassa-266	105	21	selection	selection	NOUN
ijassa-266	105	22	our	our	PRON
ijassa-266	105	23	proposed	propose	VERB
ijassa-266	105	24	technique	technique	NOUN
ijassa-266	105	25	enhanced	enhance	VERB
ijassa-266	105	26	the	the	DET
ijassa-266	105	27	classification	classification	NOUN
ijassa-266	105	28	performance	performance	NOUN
ijassa-266	105	29	against	against	ADP
ijassa-266	105	30	the	the	DET
ijassa-266	105	31	enhancement	enhancement	NOUN
ijassa-266	105	32	with	with	ADP
ijassa-266	105	33	nb	nb	PROPN
ijassa-266	105	34	classifier	classifier	PROPN
ijassa-266	105	35	.	.	PUNCT
ijassa-266	106	1	table	table	NOUN
ijassa-266	106	2	2	2	NUM
ijassa-266	106	3	classification	classification	NOUN
ijassa-266	106	4	accuracy	accuracy	NOUN
ijassa-266	106	5	table	table	NOUN
ijassa-266	106	6	3	3	NUM
ijassa-266	106	7	sensitivity	sensitivity	NOUN
ijassa-266	106	8	nb	nb	PROPN
ijassa-266	106	9	cso	cso	PROPN
ijassa-266	106	10	-	-	PUNCT
ijassa-266	106	11	nbc	nbc	PROPN
ijassa-266	106	12	full	full	ADJ
ijassa-266	106	13	data	datum	NOUN
ijassa-266	106	14	70.16	70.16	NUM
ijassa-266	106	15	89.52	89.52	NUM
ijassa-266	106	16	reduced	reduce	VERB
ijassa-266	106	17	data	datum	NOUN
ijassa-266	106	18	87.57	87.57	NUM
ijassa-266	106	19	82.94	82.94	NUM
ijassa-266	106	20	table	table	NOUN
ijassa-266	106	21	4	4	NUM
ijassa-266	106	22	g	g	NOUN
ijassa-266	106	23	-	-	PUNCT
ijassa-266	106	24	mean	mean	NOUN
ijassa-266	106	25	nb	nb	PROPN
ijassa-266	106	26	cso	cso	PROPN
ijassa-266	106	27	-	-	PUNCT
ijassa-266	106	28	nbc	nbc	PROPN
ijassa-266	106	29	full	full	ADJ
ijassa-266	106	30	data	datum	NOUN
ijassa-266	106	31	78.81	78.81	NUM
ijassa-266	106	32	82.63	82.63	NUM
ijassa-266	106	33	reduced	reduce	VERB
ijassa-266	106	34	data	datum	NOUN
ijassa-266	106	35	85.11	85.11	NUM
ijassa-266	106	36	87.37	87.37	NUM
ijassa-266	106	37	table	table	NOUN
ijassa-266	106	38	5	5	NUM
ijassa-266	106	39	f	f	NUM
ijassa-266	106	40	-	-	PUNCT
ijassa-266	106	41	measure	measure	NOUN
ijassa-266	106	42	nb	nb	PROPN
ijassa-266	106	43	cso	cso	PROPN
ijassa-266	106	44	-	-	PUNCT
ijassa-266	106	45	nbc	nbc	PROPN
ijassa-266	106	46	full	full	ADJ
ijassa-266	106	47	data	datum	NOUN
ijassa-266	106	48	77.93	77.93	NUM
ijassa-266	106	49	85.80	85.80	NUM
ijassa-266	106	50	reduced	reduce	VERB
ijassa-266	106	51	data	datum	NOUN
ijassa-266	106	52	86.48	86.48	NUM
ijassa-266	106	53	87.36	87.36	NUM
ijassa-266	106	54	table	table	NOUN
ijassa-266	106	55	6	6	NUM
ijassa-266	106	56	comparison	comparison	NOUN
ijassa-266	106	57	of	of	ADP
ijassa-266	106	58	algorithms	algorithm	NOUN
ijassa-266	106	59	applied	apply	VERB
ijassa-266	106	60	on	on	ADP
ijassa-266	106	61	mammographic	mammographic	ADJ
ijassa-266	106	62	mass	mass	NOUN
ijassa-266	106	63	data	datum	NOUN
ijassa-266	106	64	method	method	NOUN
ijassa-266	106	65	accuracy	accuracy	NOUN
ijassa-266	106	66	proposed	propose	VERB
ijassa-266	106	67	cso	cso	PROPN
ijassa-266	106	68	-	-	PUNCT
ijassa-266	106	69	nbc	nbc	PROPN
ijassa-266	106	70	87.20	87.20	NUM
ijassa-266	106	71	nb	nb	NOUN
ijassa-266	107	1	[	[	X
ijassa-266	107	2	5	5	NUM
ijassa-266	107	3	]	]	SYM
ijassa-266	107	4	82.49	82.49	NUM
ijassa-266	107	5	svm	svm	NOUN
ijassa-266	107	6	[	[	X
ijassa-266	107	7	6	6	NUM
ijassa-266	107	8	]	]	SYM
ijassa-266	107	9	81.25	81.25	NUM
ijassa-266	107	10	bagging	bagging	NOUN
ijassa-266	107	11	svm	svm	NOUN
ijassa-266	107	12	-	-	ADJ
ijassa-266	107	13	smo	smo	NOUN
ijassa-266	107	14	[	[	X
ijassa-266	107	15	9	9	NUM
ijassa-266	107	16	]	]	SYM
ijassa-266	107	17	82.00	82.00	NUM
ijassa-266	107	18	bagging	bagging	NOUN
ijassa-266	107	19	dt	dt	X
ijassa-266	108	1	[	[	X
ijassa-266	108	2	9	9	NUM
ijassa-266	108	3	]	]	PUNCT
ijassa-266	108	4	83.40	83.40	NUM
ijassa-266	108	5	the	the	DET
ijassa-266	108	6	experiments	experiment	NOUN
ijassa-266	108	7	also	also	ADV
ijassa-266	108	8	showed	show	VERB
ijassa-266	108	9	table	table	NOUN
ijassa-266	108	10	6	6	NUM
ijassa-266	108	11	-that	-that	NOUN
ijassa-266	108	12	the	the	DET
ijassa-266	108	13	proposed	propose	VERB
ijassa-266	108	14	algorithm	algorithm	NOUN
ijassa-266	108	15	cso	cso	PROPN
ijassa-266	108	16	-	-	PUNCT
ijassa-266	108	17	nbc	nbc	PROPN
ijassa-266	108	18	outperforms	outperform	NOUN
ijassa-266	108	19	algorithms	algorithm	NOUN
ijassa-266	108	20	proposed	propose	VERB
ijassa-266	108	21	by	by	ADP
ijassa-266	108	22	other	other	ADJ
ijassa-266	108	23	researchers	researcher	NOUN
ijassa-266	108	24	applied	apply	VERB
ijassa-266	108	25	on	on	ADP
ijassa-266	108	26	the	the	DET
ijassa-266	108	27	mammographic	mammographic	ADJ
ijassa-266	108	28	mass	mass	NOUN
ijassa-266	108	29	data	datum	NOUN
ijassa-266	108	30	.	.	PUNCT
ijassa-266	109	1	4	4	X
ijassa-266	109	2	.	.	X
ijassa-266	109	3	conclusion	conclusion	NOUN
ijassa-266	109	4	mammography	mammography	NOUN
ijassa-266	109	5	is	be	AUX
ijassa-266	109	6	used	use	VERB
ijassa-266	109	7	to	to	PART
ijassa-266	109	8	help	help	VERB
ijassa-266	109	9	in	in	ADP
ijassa-266	109	10	the	the	DET
ijassa-266	109	11	early	early	ADJ
ijassa-266	109	12	detection	detection	NOUN
ijassa-266	109	13	(	(	PUNCT
ijassa-266	109	14	diagnosis	diagnosis	NOUN
ijassa-266	109	15	)	)	PUNCT
ijassa-266	109	16	of	of	ADP
ijassa-266	109	17	breast	breast	NOUN
ijassa-266	109	18	diseases	disease	NOUN
ijassa-266	109	19	.	.	PUNCT
ijassa-266	110	1	the	the	DET
ijassa-266	110	2	computer	computer	NOUN
ijassa-266	110	3	aided	aid	VERB
ijassa-266	110	4	diagnostic	diagnostic	ADJ
ijassa-266	110	5	systems	system	NOUN
ijassa-266	110	6	can	can	AUX
ijassa-266	110	7	help	help	VERB
ijassa-266	110	8	physicians	physician	NOUN
ijassa-266	110	9	in	in	ADP
ijassa-266	110	10	detection	detection	NOUN
ijassa-266	110	11	(	(	PUNCT
ijassa-266	110	12	diagnosis	diagnosis	NOUN
ijassa-266	110	13	)	)	PUNCT
ijassa-266	110	14	of	of	ADP
ijassa-266	110	15	nb	nb	PROPN
ijassa-266	110	16	cso	cso	PROPN
ijassa-266	110	17	-	-	PUNCT
ijassa-266	110	18	nbc	nbc	PROPN
ijassa-266	110	19	full	full	ADJ
ijassa-266	110	20	data	datum	NOUN
ijassa-266	110	21	78.87	78.87	NUM
ijassa-266	110	22	83.88	83.88	NUM
ijassa-266	110	23	reduced	reduce	VERB
ijassa-266	110	24	data	datum	NOUN
ijassa-266	110	25	85.42	85.42	NUM
ijassa-266	110	26	87.20	87.20	NUM
ijassa-266	110	27	severity	severity	NOUN
ijassa-266	110	28	of	of	ADP
ijassa-266	110	29	breast	breast	NOUN
ijassa-266	110	30	masses	masse	NOUN
ijassa-266	110	31	prediction	prediction	VERB
ijassa-266	110	32	in	in	ADP
ijassa-266	110	33	mammograms	mammogram	NOUN
ijassa-266	110	34	28	28	NUM
ijassa-266	110	35	copyright	copyright	NOUN
ijassa-266	110	36	©	©	PROPN
ijassa-266	110	37	2018	2018	NUM
ijassa-266	110	38	assa	assa	NOUN
ijassa-266	110	39	.	.	PUNCT
ijassa-266	111	1	adv	adv	PROPN
ijassa-266	111	2	.	.	PUNCT
ijassa-266	112	1	in	in	ADP
ijassa-266	112	2	systems	system	NOUN
ijassa-266	112	3	science	science	NOUN
ijassa-266	112	4	and	and	CCONJ
ijassa-266	112	5	appl	appl	NOUN
ijassa-266	112	6	.	.	PUNCT
ijassa-266	113	1	(	(	PUNCT
ijassa-266	113	2	2018	2018	NUM
ijassa-266	113	3	)	)	PUNCT
ijassa-266	113	4	abnormalities	abnormality	NOUN
ijassa-266	113	5	early	early	ADJ
ijassa-266	113	6	than	than	ADP
ijassa-266	113	7	traditional	traditional	ADJ
ijassa-266	113	8	procedures	procedure	NOUN
ijassa-266	113	9	.	.	PUNCT
ijassa-266	114	1	many	many	ADJ
ijassa-266	114	2	algorithms	algorithm	NOUN
ijassa-266	114	3	and	and	CCONJ
ijassa-266	114	4	diagnostic	diagnostic	ADJ
ijassa-266	114	5	systems	system	NOUN
ijassa-266	114	6	have	have	AUX
ijassa-266	114	7	been	be	AUX
ijassa-266	114	8	developed	develop	VERB
ijassa-266	114	9	recently	recently	ADV
ijassa-266	114	10	.	.	PUNCT
ijassa-266	115	1	the	the	DET
ijassa-266	115	2	objective	objective	NOUN
ijassa-266	115	3	is	be	AUX
ijassa-266	115	4	not	not	PART
ijassa-266	115	5	to	to	PART
ijassa-266	115	6	replace	replace	VERB
ijassa-266	115	7	medical	medical	ADJ
ijassa-266	115	8	researchers	researcher	NOUN
ijassa-266	115	9	and	and	CCONJ
ijassa-266	115	10	professionals	professional	NOUN
ijassa-266	115	11	,	,	PUNCT
ijassa-266	115	12	but	but	CCONJ
ijassa-266	115	13	to	to	PART
ijassa-266	115	14	increase	increase	VERB
ijassa-266	115	15	their	their	PRON
ijassa-266	115	16	abilities	ability	NOUN
ijassa-266	115	17	to	to	PART
ijassa-266	115	18	take	take	VERB
ijassa-266	115	19	decisions	decision	NOUN
ijassa-266	115	20	about	about	ADP
ijassa-266	115	21	the	the	DET
ijassa-266	115	22	disease	disease	NOUN
ijassa-266	115	23	.	.	PUNCT
ijassa-266	116	1	this	this	DET
ijassa-266	116	2	paper	paper	NOUN
ijassa-266	116	3	proposed	propose	VERB
ijassa-266	116	4	a	a	DET
ijassa-266	116	5	new	new	ADJ
ijassa-266	116	6	automated	automate	VERB
ijassa-266	116	7	mammogram	mammogram	NOUN
ijassa-266	116	8	classification	classification	NOUN
ijassa-266	116	9	system	system	NOUN
ijassa-266	116	10	cso	cso	PROPN
ijassa-266	116	11	-	-	PUNCT
ijassa-266	116	12	nbc	nbc	PROPN
ijassa-266	116	13	based	base	VERB
ijassa-266	116	14	on	on	ADP
ijassa-266	116	15	the	the	DET
ijassa-266	116	16	improved	improve	VERB
ijassa-266	116	17	naive	naive	ADJ
ijassa-266	116	18	bayes	bayes	NOUN
ijassa-266	116	19	classifier	classifier	NOUN
ijassa-266	116	20	using	use	VERB
ijassa-266	116	21	chicken	chicken	NOUN
ijassa-266	116	22	swarm	swarm	NOUN
ijassa-266	116	23	optimization	optimization	NOUN
ijassa-266	116	24	algorithm	algorithm	NOUN
ijassa-266	116	25	.	.	PUNCT
ijassa-266	117	1	the	the	DET
ijassa-266	117	2	mammographic	mammographic	ADJ
ijassa-266	117	3	mass	mass	NOUN
ijassa-266	117	4	data	datum	NOUN
ijassa-266	117	5	is	be	AUX
ijassa-266	117	6	preprocessed	preprocesse	VERB
ijassa-266	117	7	by	by	ADP
ijassa-266	117	8	replacing	replace	VERB
ijassa-266	117	9	all	all	DET
ijassa-266	117	10	the	the	DET
ijassa-266	117	11	missing	miss	VERB
ijassa-266	117	12	features	feature	NOUN
ijassa-266	117	13	values	value	NOUN
ijassa-266	117	14	and	and	CCONJ
ijassa-266	117	15	applying	apply	VERB
ijassa-266	117	16	information	information	NOUN
ijassa-266	117	17	gain	gain	NOUN
ijassa-266	117	18	(	(	PUNCT
ijassa-266	117	19	ig	ig	NOUN
ijassa-266	117	20	)	)	PUNCT
ijassa-266	117	21	feature	feature	NOUN
ijassa-266	117	22	selection	selection	NOUN
ijassa-266	117	23	technique	technique	NOUN
ijassa-266	117	24	to	to	PART
ijassa-266	117	25	remove	remove	VERB
ijassa-266	117	26	the	the	DET
ijassa-266	117	27	useless	useless	ADJ
ijassa-266	117	28	features	feature	NOUN
ijassa-266	117	29	.	.	PUNCT
ijassa-266	118	1	the	the	DET
ijassa-266	118	2	dataset	dataset	NOUN
ijassa-266	118	3	then	then	ADV
ijassa-266	118	4	divided	divide	VERB
ijassa-266	118	5	to	to	ADP
ijassa-266	118	6	training	training	NOUN
ijassa-266	118	7	and	and	CCONJ
ijassa-266	118	8	testing	testing	NOUN
ijassa-266	118	9	sets	set	NOUN
ijassa-266	118	10	using	use	VERB
ijassa-266	118	11	5	5	NUM
ijassa-266	118	12	-	-	PUNCT
ijassa-266	118	13	folds	fold	NOUN
ijassa-266	118	14	cross	cross	NOUN
ijassa-266	118	15	validation	validation	NOUN
ijassa-266	118	16	technique	technique	NOUN
ijassa-266	118	17	.	.	PUNCT
ijassa-266	119	1	the	the	DET
ijassa-266	119	2	experiments	experiment	NOUN
ijassa-266	119	3	showed	show	VERB
ijassa-266	119	4	the	the	DET
ijassa-266	119	5	efficiency	efficiency	NOUN
ijassa-266	119	6	of	of	ADP
ijassa-266	119	7	our	our	PRON
ijassa-266	119	8	proposed	propose	VERB
ijassa-266	119	9	classification	classification	NOUN
ijassa-266	119	10	system	system	NOUN
ijassa-266	119	11	in	in	ADP
ijassa-266	119	12	predicting	predict	VERB
ijassa-266	119	13	severity	severity	NOUN
ijassa-266	119	14	of	of	ADP
ijassa-266	119	15	breast	breast	NOUN
ijassa-266	119	16	tumors	tumor	NOUN
ijassa-266	119	17	since	since	SCONJ
ijassa-266	119	18	it	it	PRON
ijassa-266	119	19	performs	perform	VERB
ijassa-266	119	20	better	well	ADJ
ijassa-266	119	21	than	than	ADP
ijassa-266	119	22	the	the	DET
ijassa-266	119	23	traditional	traditional	ADJ
ijassa-266	119	24	nb	nb	NOUN
ijassa-266	119	25	classifier	classifier	NOUN
ijassa-266	119	26	also	also	ADV
ijassa-266	119	27	,	,	PUNCT
ijassa-266	119	28	better	well	ADJ
ijassa-266	119	29	than	than	ADP
ijassa-266	119	30	algorithms	algorithm	NOUN
ijassa-266	119	31	proposed	propose	VERB
ijassa-266	119	32	by	by	ADP
ijassa-266	119	33	other	other	ADJ
ijassa-266	119	34	researchers	researcher	NOUN
ijassa-266	119	35	for	for	ADP
ijassa-266	119	36	the	the	DET
ijassa-266	119	37	same	same	ADJ
ijassa-266	119	38	mammographic	mammographic	ADJ
ijassa-266	119	39	mass	mass	NOUN
ijassa-266	119	40	data	datum	NOUN
ijassa-266	119	41	.	.	PUNCT
ijassa-266	120	1	references	reference	NOUN
ijassa-266	121	1	[	[	X
ijassa-266	121	2	1]world	1]world	NUM
ijassa-266	121	3	health	health	NOUN
ijassa-266	121	4	organization	organization	NOUN
ijassa-266	121	5	(	(	PUNCT
ijassa-266	121	6	2018	2018	NUM
ijassa-266	121	7	,	,	PUNCT
ijassa-266	121	8	may	may	AUX
ijassa-266	121	9	)	)	PUNCT
ijassa-266	121	10	cancer	cancer	NOUN
ijassa-266	122	1	[	[	X
ijassa-266	122	2	online	online	X
ijassa-266	122	3	]	]	X
ijassa-266	122	4	.	.	PUNCT
ijassa-266	123	1	available	available	ADJ
ijassa-266	123	2	:	:	PUNCT
ijassa-266	123	3	http://www.who.int/cancer/en/	http://www.who.int/cancer/en/	X
ijassa-266	124	1	[	[	X
ijassa-266	124	2	2	2	NUM
ijassa-266	124	3	]	]	PUNCT
ijassa-266	124	4	world	world	NOUN
ijassa-266	124	5	atlas	atlas	PROPN
ijassa-266	124	6	(	(	PUNCT
ijassa-266	124	7	2018	2018	NUM
ijassa-266	124	8	,	,	PUNCT
ijassa-266	124	9	may	may	AUX
ijassa-266	124	10	)	)	PUNCT
ijassa-266	124	11	explore	explore	VERB
ijassa-266	124	12	the	the	DET
ijassa-266	124	13	world	world	NOUN
ijassa-266	125	1	[	[	X
ijassa-266	125	2	online	online	X
ijassa-266	125	3	]	]	X
ijassa-266	125	4	.	.	PUNCT
ijassa-266	126	1	available	available	ADJ
ijassa-266	126	2	:	:	PUNCT
ijassa-266	126	3	http://www.worldatlas.com	http://www.worldatlas.com	X
ijassa-266	127	1	[	[	X
ijassa-266	127	2	3	3	NUM
ijassa-266	127	3	]	]	PUNCT
ijassa-266	127	4	sickles	sickle	NOUN
ijassa-266	127	5	,	,	PUNCT
ijassa-266	127	6	e.	e.	PROPN
ijassa-266	127	7	a.	a.	PROPN
ijassa-266	127	8	,	,	PUNCT
ijassa-266	127	9	wolverton	wolverton	PROPN
ijassa-266	127	10	,	,	PUNCT
ijassa-266	127	11	d.	d.	PROPN
ijassa-266	127	12	e.	e.	PROPN
ijassa-266	127	13	,	,	PUNCT
ijassa-266	127	14	&	&	CCONJ
ijassa-266	127	15	dee	dee	PROPN
ijassa-266	127	16	,	,	PUNCT
ijassa-266	127	17	k.	k.	PROPN
ijassa-266	127	18	e.	e.	PROPN
ijassa-266	127	19	(	(	PUNCT
ijassa-266	127	20	2002	2002	NUM
ijassa-266	127	21	)	)	PUNCT
ijassa-266	127	22	.	.	PUNCT
ijassa-266	128	1	performance	performance	NOUN
ijassa-266	128	2	parameters	parameter	NOUN
ijassa-266	128	3	for	for	ADP
ijassa-266	128	4	screening	screening	NOUN
ijassa-266	128	5	and	and	CCONJ
ijassa-266	128	6	diagnostic	diagnostic	ADJ
ijassa-266	128	7	mammography	mammography	NOUN
ijassa-266	128	8	:	:	PUNCT
ijassa-266	128	9	specialist	specialist	NOUN
ijassa-266	128	10	and	and	CCONJ
ijassa-266	128	11	general	general	ADJ
ijassa-266	128	12	radiologists	radiologist	NOUN
ijassa-266	128	13	.	.	PUNCT
ijassa-266	129	1	radiology	radiology	NOUN
ijassa-266	129	2	,	,	PUNCT
ijassa-266	129	3	224(3	224(3	NUM
ijassa-266	129	4	)	)	PUNCT
ijassa-266	129	5	,	,	PUNCT
ijassa-266	129	6	861869	861869	NUM
ijassa-266	129	7	.	.	PUNCT
ijassa-266	130	1	[	[	X
ijassa-266	130	2	4	4	NUM
ijassa-266	130	3	]	]	X
ijassa-266	130	4	ramani	ramani	PROPN
ijassa-266	130	5	,	,	PUNCT
ijassa-266	130	6	r.	r.	PROPN
ijassa-266	130	7	&	&	CCONJ
ijassa-266	130	8	suthanthira	suthanthira	PROPN
ijassa-266	130	9	vanitha	vanitha	PROPN
ijassa-266	130	10	,	,	PUNCT
ijassa-266	130	11	n.	n.	PROPN
ijassa-266	130	12	(	(	PUNCT
ijassa-266	130	13	2014	2014	NUM
ijassa-266	130	14	)	)	PUNCT
ijassa-266	130	15	.	.	PUNCT
ijassa-266	131	1	computer	computer	NOUN
ijassa-266	131	2	aided	aid	VERB
ijassa-266	131	3	detection	detection	NOUN
ijassa-266	131	4	of	of	ADP
ijassa-266	131	5	tumors	tumor	NOUN
ijassa-266	131	6	in	in	ADP
ijassa-266	131	7	mammograms	mammogram	NOUN
ijassa-266	131	8	,	,	PUNCT
ijassa-266	131	9	int.j	int.j	PROPN
ijassa-266	131	10	.	.	PUNCT
ijassa-266	131	11	image	image	NOUN
ijassa-266	131	12	,	,	PUNCT
ijassa-266	131	13	graphics	graphic	NOUN
ijassa-266	131	14	and	and	CCONJ
ijassa-266	131	15	signal	signal	PROPN
ijassa-266	131	16	processing	processing	NOUN
ijassa-266	131	17	,	,	PUNCT
ijassa-266	131	18	4	4	NUM
ijassa-266	131	19	,	,	PUNCT
ijassa-266	131	20	54	54	NUM
ijassa-266	131	21	-	-	SYM
ijassa-266	131	22	59	59	NUM
ijassa-266	131	23	.	.	PUNCT
ijassa-266	132	1	[	[	X
ijassa-266	132	2	5	5	NUM
ijassa-266	132	3	]	]	X
ijassa-266	132	4	güzel	güzel	PROPN
ijassa-266	132	5	,	,	PUNCT
ijassa-266	132	6	c.	c.	PROPN
ijassa-266	132	7	,	,	PUNCT
ijassa-266	132	8	kaya	kaya	PROPN
ijassa-266	132	9	,	,	PUNCT
ijassa-266	132	10	m.	m.	PROPN
ijassa-266	132	11	&	&	CCONJ
ijassa-266	132	12	yıldız	yıldız	PROPN
ijassa-266	132	13	,	,	PUNCT
ijassa-266	132	14	o.	o.	PROPN
ijassa-266	132	15	(	(	PUNCT
ijassa-266	132	16	2013	2013	NUM
ijassa-266	132	17	)	)	PUNCT
ijassa-266	132	18	.	.	PUNCT
ijassa-266	132	19	breast	breast	NOUN
ijassa-266	132	20	cancer	cancer	NOUN
ijassa-266	132	21	diagnosis	diagnosis	NOUN
ijassa-266	132	22	based	base	VERB
ijassa-266	132	23	on	on	ADP
ijassa-266	132	24	naïve	naïve	ADJ
ijassa-266	132	25	bayes	bayes	NOUN
ijassa-266	132	26	machine	machine	NOUN
ijassa-266	132	27	learning	learn	VERB
ijassa-266	132	28	classifier	classifier	NOUN
ijassa-266	132	29	with	with	ADP
ijassa-266	132	30	knn	knn	PROPN
ijassa-266	132	31	missing	miss	VERB
ijassa-266	132	32	data	data	NOUN
ijassa-266	132	33	imputation	imputation	NOUN
ijassa-266	132	34	,	,	PUNCT
ijassa-266	132	35	awerprocedia	awerprocedia	PROPN
ijassa-266	132	36	information	information	NOUN
ijassa-266	132	37	technology	technology	PROPN
ijassa-266	132	38	&	&	CCONJ
ijassa-266	132	39	computer	computer	NOUN
ijassa-266	132	40	science	science	NOUN
ijassa-266	132	41	,	,	PUNCT
ijassa-266	132	42	4	4	NUM
ijassa-266	132	43	,	,	PUNCT
ijassa-266	132	44	401	401	NUM
ijassa-266	132	45	-	-	SYM
ijassa-266	132	46	407	407	NUM
ijassa-266	132	47	,	,	PUNCT
ijassa-266	132	48	[	[	X
ijassa-266	132	49	online	online	X
ijassa-266	132	50	]	]	X
ijassa-266	132	51	.	.	PUNCT
ijassa-266	133	1	available	available	ADJ
ijassa-266	133	2	:	:	PUNCT
ijassa-266	134	1	www.awer-center.org/pitcs	www.awer-center.org/pitc	VERB
ijassa-266	134	2	[	[	X
ijassa-266	134	3	6	6	NUM
ijassa-266	134	4	]	]	X
ijassa-266	134	5	mokhtar	mokhtar	PROPN
ijassa-266	134	6	,	,	PUNCT
ijassa-266	134	7	s.	s.	PROPN
ijassa-266	134	8	a.	a.	PROPN
ijassa-266	134	9	,	,	PUNCT
ijassa-266	134	10	elsayad	elsayad	NOUN
ijassa-266	134	11	,	,	PUNCT
ijassa-266	134	12	a.	a.	NOUN
ijassa-266	134	13	m.	m.	NOUN
ijassa-266	134	14	(	(	PUNCT
ijassa-266	134	15	2013	2013	NUM
ijassa-266	134	16	)	)	PUNCT
ijassa-266	134	17	.	.	PUNCT
ijassa-266	135	1	predicting	predict	VERB
ijassa-266	135	2	the	the	DET
ijassa-266	135	3	severity	severity	NOUN
ijassa-266	135	4	of	of	ADP
ijassa-266	135	5	breast	breast	NOUN
ijassa-266	135	6	masses	masse	NOUN
ijassa-266	135	7	with	with	ADP
ijassa-266	135	8	data	datum	NOUN
ijassa-266	135	9	mining	mining	NOUN
ijassa-266	135	10	methods	method	NOUN
ijassa-266	135	11	,	,	PUNCT
ijassa-266	135	12	international	international	ADJ
ijassa-266	135	13	journal	journal	NOUN
ijassa-266	135	14	of	of	ADP
ijassa-266	135	15	computer	computer	NOUN
ijassa-266	135	16	science	science	NOUN
ijassa-266	135	17	issues	issue	NOUN
ijassa-266	135	18	,	,	PUNCT
ijassa-266	135	19	10(2	10(2	NUM
ijassa-266	135	20	)	)	PUNCT
ijassa-266	135	21	.	.	PUNCT
ijassa-266	136	1	[	[	X
ijassa-266	136	2	7	7	X
ijassa-266	136	3	]	]	X
ijassa-266	136	4	meng	meng	PROPN
ijassa-266	136	5	,	,	PUNCT
ijassa-266	136	6	x.	x.	PROPN
ijassa-266	136	7	,	,	PUNCT
ijassa-266	136	8	liu	liu	PROPN
ijassa-266	136	9	,	,	PUNCT
ijassa-266	136	10	y.	y.	PROPN
ijassa-266	136	11	,	,	PUNCT
ijassa-266	136	12	gao	gao	PROPN
ijassa-266	136	13	,	,	PUNCT
ijassa-266	136	14	x.	x.	PROPN
ijassa-266	136	15	&	&	CCONJ
ijassa-266	136	16	zhang	zhang	PROPN
ijassa-266	136	17	,	,	PUNCT
ijassa-266	136	18	h.	h.	PROPN
ijassa-266	136	19	(	(	PUNCT
ijassa-266	136	20	2014	2014	NUM
ijassa-266	136	21	)	)	PUNCT
ijassa-266	136	22	.	.	PUNCT
ijassa-266	137	1	a	a	DET
ijassa-266	137	2	new	new	ADJ
ijassa-266	137	3	bio	bio	ADJ
ijassa-266	137	4	-	-	PUNCT
ijassa-266	137	5	inspired	inspire	VERB
ijassa-266	137	6	algorithm	algorithm	NOUN
ijassa-266	137	7	:	:	PUNCT
ijassa-266	137	8	chicken	chicken	NOUN
ijassa-266	137	9	swarm	swarm	NOUN
ijassa-266	137	10	optimization	optimization	NOUN
ijassa-266	137	11	.	.	PUNCT
ijassa-266	138	1	in	in	ADP
ijassa-266	138	2	:	:	PUNCT
ijassa-266	138	3	tan	tan	PROPN
ijassa-266	138	4	y.	y.	PROPN
ijassa-266	138	5	,	,	PUNCT
ijassa-266	138	6	shi	shi	PROPN
ijassa-266	138	7	y.	y.	PROPN
ijassa-266	138	8	,	,	PUNCT
ijassa-266	138	9	coello	coello	PROPN
ijassa-266	138	10	c.a.c	c.a.c	PROPN
ijassa-266	138	11	.	.	PUNCT
ijassa-266	139	1	(	(	PUNCT
ijassa-266	139	2	eds	ed	NOUN
ijassa-266	139	3	.	.	PUNCT
ijassa-266	139	4	)	)	PUNCT
ijassa-266	140	1	advances	advance	NOUN
ijassa-266	140	2	in	in	ADP
ijassa-266	140	3	swarm	swarm	NOUN
ijassa-266	140	4	intelligence	intelligence	NOUN
ijassa-266	140	5	.	.	PUNCT
ijassa-266	141	1	icsi	icsi	PROPN
ijassa-266	141	2	2014	2014	NUM
ijassa-266	141	3	.	.	PUNCT
ijassa-266	142	1	lecture	lecture	NOUN
ijassa-266	142	2	notes	note	NOUN
ijassa-266	142	3	in	in	ADP
ijassa-266	142	4	computer	computer	NOUN
ijassa-266	142	5	science	science	NOUN
ijassa-266	142	6	,	,	PUNCT
ijassa-266	142	7	vol	vol	NOUN
ijassa-266	142	8	8794	8794	NUM
ijassa-266	142	9	.	.	PUNCT
ijassa-266	143	1	springer	springer	NOUN
ijassa-266	143	2	,	,	PUNCT
ijassa-266	143	3	cham	cham	PROPN
ijassa-266	143	4	,	,	PUNCT
ijassa-266	143	5	https://doi.org/10.1007/978-3-319-11857-4_10	https://doi.org/10.1007/978-3-319-11857-4_10	PROPN
ijassa-266	144	1	[	[	X
ijassa-266	144	2	8	8	NUM
ijassa-266	144	3	]	]	X
ijassa-266	144	4	ozer	ozer	NOUN
ijassa-266	144	5	,	,	PUNCT
ijassa-266	144	6	p.	p.	NOUN
ijassa-266	144	7	(	(	PUNCT
ijassa-266	144	8	2008	2008	NUM
ijassa-266	144	9	)	)	PUNCT
ijassa-266	144	10	.	.	PUNCT
ijassa-266	145	1	data	datum	NOUN
ijassa-266	145	2	mining	mining	NOUN
ijassa-266	145	3	algorithms	algorithm	NOUN
ijassa-266	145	4	for	for	ADP
ijassa-266	145	5	classification	classification	NOUN
ijassa-266	145	6	,	,	PUNCT
ijassa-266	145	7	b.sc	b.sc	NOUN
ijassa-266	145	8	thesis	thesis	NOUN
ijassa-266	145	9	,	,	PUNCT
ijassa-266	145	10	redbound	redbound	PROPN
ijassa-266	145	11	university	university	PROPN
ijassa-266	145	12	nijimegan	nijimegan	NOUN
ijassa-266	145	13	.	.	PUNCT
ijassa-266	146	1	[	[	X
ijassa-266	146	2	9	9	NUM
ijassa-266	146	3	]	]	X
ijassa-266	146	4	jeyarani	jeyarani	NOUN
ijassa-266	146	5	,	,	PUNCT
ijassa-266	146	6	d.	d.	PROPN
ijassa-266	146	7	s.	s.	PROPN
ijassa-266	146	8	,	,	PUNCT
ijassa-266	146	9	anushya	anushya	PROPN
ijassa-266	146	10	,	,	PUNCT
ijassa-266	146	11	g.	g.	PROPN
ijassa-266	146	12	,	,	PUNCT
ijassa-266	146	13	raja	raja	PROPN
ijassa-266	146	14	,	,	PUNCT
ijassa-266	146	15	r.	r.	PROPN
ijassa-266	146	16	&	&	CCONJ
ijassa-266	146	17	pethalakshmi	pethalakshmi	PROPN
ijassa-266	146	18	,	,	PUNCT
ijassa-266	146	19	a.	a.	NOUN
ijassa-266	146	20	(	(	PUNCT
ijassa-266	146	21	2013	2013	NUM
ijassa-266	146	22	)	)	PUNCT
ijassa-266	146	23	.	.	PUNCT
ijassa-266	147	1	a	a	DET
ijassa-266	147	2	comparative	comparative	ADJ
ijassa-266	147	3	study	study	NOUN
ijassa-266	147	4	of	of	ADP
ijassa-266	147	5	decision	decision	NOUN
ijassa-266	147	6	tree	tree	NOUN
ijassa-266	147	7	and	and	CCONJ
ijassa-266	147	8	naive	naive	ADJ
ijassa-266	147	9	bayesian	bayesian	NOUN
ijassa-266	147	10	classifiers	classifier	NOUN
ijassa-266	147	11	on	on	ADP
ijassa-266	147	12	medical	medical	ADJ
ijassa-266	147	13	datasets	dataset	NOUN
ijassa-266	147	14	,	,	PUNCT
ijassa-266	147	15	international	international	ADJ
ijassa-266	147	16	journal	journal	NOUN
ijassa-266	147	17	of	of	ADP
ijassa-266	147	18	computer	computer	NOUN
ijassa-266	147	19	applications	application	NOUN
ijassa-266	147	20	(	(	PUNCT
ijassa-266	147	21	0975	0975	NUM
ijassa-266	147	22	–	–	PUNCT
ijassa-266	147	23	8887	8887	NUM
ijassa-266	147	24	)	)	PUNCT
ijassa-266	147	25	,	,	PUNCT
ijassa-266	147	26	international	international	ADJ
ijassa-266	147	27	conference	conference	NOUN
ijassa-266	147	28	on	on	ADP
ijassa-266	147	29	computing	computing	NOUN
ijassa-266	147	30	and	and	CCONJ
ijassa-266	147	31	information	information	NOUN
ijassa-266	147	32	technology	technology	NOUN
ijassa-266	147	33	(	(	PUNCT
ijassa-266	147	34	ic2it-2013	ic2it-2013	NUM
ijassa-266	147	35	)	)	PUNCT
ijassa-266	147	36	,	,	PUNCT
ijassa-266	147	37	5	5	NUM
ijassa-266	147	38	-	-	SYM
ijassa-266	147	39	7	7	NUM
ijassa-266	147	40	.	.	PUNCT
ijassa-266	148	1	[	[	X
ijassa-266	148	2	10	10	NUM
ijassa-266	148	3	]	]	X
ijassa-266	148	4	luo	luo	PROPN
ijassa-266	148	5	,	,	PUNCT
ijassa-266	148	6	s.-t	s.-t	NOUN
ijassa-266	148	7	.	.	PUNCT
ijassa-266	148	8	,	,	PUNCT
ijassa-266	148	9	cheng	cheng	PROPN
ijassa-266	148	10	,	,	PUNCT
ijassa-266	148	11	b.-w	b.-w	PROPN
ijassa-266	148	12	.	.	PUNCT
ijassa-266	149	1	(	(	PUNCT
ijassa-266	149	2	2012	2012	NUM
ijassa-266	149	3	)	)	PUNCT
ijassa-266	149	4	.	.	PUNCT
ijassa-266	150	1	diagnosing	diagnose	VERB
ijassa-266	150	2	breast	breast	NOUN
ijassa-266	150	3	masses	masse	NOUN
ijassa-266	150	4	in	in	ADP
ijassa-266	150	5	digital	digital	ADJ
ijassa-266	150	6	mammography	mammography	NOUN
ijassa-266	150	7	using	use	VERB
ijassa-266	150	8	feature	feature	NOUN
ijassa-266	150	9	selection	selection	NOUN
ijassa-266	150	10	and	and	CCONJ
ijassa-266	150	11	ensemble	ensemble	ADJ
ijassa-266	150	12	methods	method	NOUN
ijassa-266	150	13	,	,	PUNCT
ijassa-266	150	14	journal	journal	NOUN
ijassa-266	150	15	of	of	ADP
ijassa-266	150	16	medical	medical	ADJ
ijassa-266	150	17	systems	system	NOUN
ijassa-266	150	18	,	,	PUNCT
ijassa-266	150	19	36(2	36(2	NUM
ijassa-266	150	20	)	)	PUNCT
ijassa-266	150	21	,	,	PUNCT
ijassa-266	150	22	569	569	NUM
ijassa-266	150	23	-	-	SYM
ijassa-266	150	24	77	77	NUM
ijassa-266	150	25	.	.	PUNCT
ijassa-266	151	1	https://doi.org/10.1007/s10916-010-9518-8	https://doi.org/10.1007/s10916-010-9518-8	NUM
ijassa-266	151	2	.	.	PUNCT
ijassa-266	152	1	[	[	X
ijassa-266	152	2	11	11	NUM
ijassa-266	152	3	]	]	X
ijassa-266	152	4	el	el	PROPN
ijassa-266	152	5	bakrawy	bakrawy	PROPN
ijassa-266	152	6	,	,	PUNCT
ijassa-266	152	7	l.	l.	PROPN
ijassa-266	152	8	m.	m.	PROPN
ijassa-266	152	9	&	&	CCONJ
ijassa-266	152	10	desuky	desuky	PROPN
ijassa-266	152	11	,	,	PUNCT
ijassa-266	152	12	a.	a.	PROPN
ijassa-266	152	13	s.	s.	PROPN
ijassa-266	152	14	(	(	PUNCT
ijassa-266	152	15	2015	2015	NUM
ijassa-266	152	16	)	)	PUNCT
ijassa-266	152	17	.	.	PUNCT
ijassa-266	153	1	a	a	DET
ijassa-266	153	2	hybrid	hybrid	ADJ
ijassa-266	153	3	classification	classification	NOUN
ijassa-266	153	4	algorithm	algorithm	NOUN
ijassa-266	153	5	and	and	CCONJ
ijassa-266	153	6	its	its	PRON
ijassa-266	153	7	application	application	NOUN
ijassa-266	153	8	on	on	ADP
ijassa-266	153	9	four	four	NUM
ijassa-266	153	10	real	real	ADJ
ijassa-266	153	11	-	-	PUNCT
ijassa-266	153	12	world	world	NOUN
ijassa-266	153	13	data	data	NOUN
ijassa-266	153	14	sets	set	NOUN
ijassa-266	153	15	,	,	PUNCT
ijassa-266	153	16	international	international	ADJ
ijassa-266	153	17	journal	journal	NOUN
ijassa-266	153	18	of	of	ADP
ijassa-266	153	19	computer	computer	NOUN
ijassa-266	153	20	science	science	NOUN
ijassa-266	153	21	and	and	CCONJ
ijassa-266	153	22	information	information	NOUN
ijassa-266	153	23	security	security	NOUN
ijassa-266	153	24	(	(	PUNCT
ijassa-266	153	25	ijcsis	ijcsis	NOUN
ijassa-266	153	26	)	)	PUNCT
ijassa-266	153	27	,	,	PUNCT
ijassa-266	153	28	13(10	13(10	NUM
ijassa-266	153	29	):	):	PUNCT
ijassa-266	153	30	93	93	NUM
ijassa-266	153	31	-	-	SYM
ijassa-266	153	32	97	97	NUM
ijassa-266	153	33	.	.	PUNCT
ijassa-266	154	1	[	[	X
ijassa-266	154	2	12	12	NUM
ijassa-266	154	3	]	]	X
ijassa-266	154	4	han	han	PROPN
ijassa-266	154	5	,	,	PUNCT
ijassa-266	154	6	j.	j.	PROPN
ijassa-266	154	7	&	&	CCONJ
ijassa-266	154	8	kamber	kamber	PROPN
ijassa-266	154	9	,	,	PUNCT
ijassa-266	154	10	m.	m.	NOUN
ijassa-266	154	11	(	(	PUNCT
ijassa-266	154	12	2001	2001	NUM
ijassa-266	154	13	)	)	PUNCT
ijassa-266	154	14	.	.	PUNCT
ijassa-266	155	1	data	datum	NOUN
ijassa-266	155	2	mining	mining	NOUN
ijassa-266	155	3	concepts	concept	NOUN
ijassa-266	155	4	&	&	CCONJ
ijassa-266	155	5	techniques	technique	NOUN
ijassa-266	155	6	.	.	PUNCT
ijassa-266	156	1	san	san	PROPN
ijassa-266	156	2	francisco	francisco	PROPN
ijassa-266	156	3	,	,	PUNCT
ijassa-266	156	4	ca	ca	PROPN
ijassa-266	156	5	,	,	PUNCT
ijassa-266	156	6	usa	usa	PROPN
ijassa-266	156	7	:	:	PUNCT
ijassa-266	156	8	morgan	morgan	PROPN
ijassa-266	156	9	kaufmann	kaufmann	PROPN
ijassa-266	156	10	publishers	publishers	PROPN
ijassa-266	156	11	inc	inc	PROPN
ijassa-266	156	12	.	.	PROPN
ijassa-266	156	13	19	19	NUM
ijassa-266	156	14	a.	a.	NOUN
ijassa-266	156	15	s.	s.	PROPN
ijassa-266	156	16	desuky	desuky	PROPN
ijassa-266	156	17	copyright	copyright	NOUN
ijassa-266	156	18	©	©	PROPN
ijassa-266	156	19	2018	2018	NUM
ijassa-266	156	20	assa	assa	NOUN
ijassa-266	156	21	.	.	PUNCT
ijassa-266	157	1	adv	adv	PROPN
ijassa-266	157	2	.	.	PUNCT
ijassa-266	158	1	in	in	ADP
ijassa-266	158	2	systems	system	NOUN
ijassa-266	158	3	science	science	NOUN
ijassa-266	158	4	and	and	CCONJ
ijassa-266	158	5	appl	appl	NOUN
ijassa-266	158	6	.	.	PUNCT
ijassa-266	159	1	(	(	PUNCT
ijassa-266	159	2	2018	2018	NUM
ijassa-266	159	3	)	)	PUNCT
ijassa-266	160	1	[	[	X
ijassa-266	160	2	13	13	NUM
ijassa-266	160	3	]	]	SYM
ijassa-266	160	4	kumar	kumar	PROPN
ijassa-266	160	5	,	,	PUNCT
ijassa-266	160	6	c.	c.	PROPN
ijassa-266	160	7	s.	s.	PROPN
ijassa-266	160	8	&	&	CCONJ
ijassa-266	160	9	sree	sree	PROPN
ijassa-266	160	10	,	,	PUNCT
ijassa-266	160	11	r.	r.	PROPN
ijassa-266	160	12	j.	j.	PROPN
ijassa-266	160	13	(	(	PUNCT
ijassa-266	160	14	2014	2014	NUM
ijassa-266	160	15	)	)	PUNCT
ijassa-266	160	16	.	.	PUNCT
ijassa-266	161	1	application	application	NOUN
ijassa-266	161	2	of	of	ADP
ijassa-266	161	3	ranking	rank	VERB
ijassa-266	161	4	based	base	VERB
ijassa-266	161	5	attribute	attribute	NOUN
ijassa-266	161	6	selection	selection	NOUN
ijassa-266	161	7	filters	filter	NOUN
ijassa-266	161	8	to	to	PART
ijassa-266	161	9	perform	perform	VERB
ijassa-266	161	10	automated	automate	VERB
ijassa-266	161	11	evaluation	evaluation	NOUN
ijassa-266	161	12	of	of	ADP
ijassa-266	161	13	descriptive	descriptive	ADJ
ijassa-266	161	14	answers	answer	NOUN
ijassa-266	161	15	through	through	ADP
ijassa-266	161	16	sequential	sequential	ADJ
ijassa-266	161	17	minimal	minimal	ADJ
ijassa-266	161	18	optimization	optimization	NOUN
ijassa-266	161	19	models	model	NOUN
ijassa-266	161	20	,	,	PUNCT
ijassa-266	161	21	ictact	ictact	ADJ
ijassa-266	161	22	journal	journal	NOUN
ijassa-266	161	23	on	on	ADP
ijassa-266	161	24	soft	soft	ADJ
ijassa-266	161	25	computing	computing	NOUN
ijassa-266	161	26	,	,	PUNCT
ijassa-266	161	27	5(1	5(1	NUM
ijassa-266	161	28	)	)	PUNCT
ijassa-266	161	29	,	,	PUNCT
ijassa-266	161	30	860	860	NUM
ijassa-266	161	31	-	-	SYM
ijassa-266	161	32	868	868	NUM
ijassa-266	161	33	.	.	PUNCT