id	sid	tid	token	lemma	pos
fcis-6020	1	1	frontiers	frontier	NOUN
fcis-6020	1	2	in	in	ADP
fcis-6020	1	3	computing	computing	NOUN
fcis-6020	1	4	and	and	CCONJ
fcis-6020	1	5	intelligent	intelligent	ADJ
fcis-6020	1	6	systems	system	NOUN
fcis-6020	1	7	issn	issn	VERB
fcis-6020	1	8	:	:	PUNCT
fcis-6020	1	9	2832	2832	NUM
fcis-6020	1	10	-	-	SYM
fcis-6020	1	11	6024	6024	NUM
fcis-6020	1	12	|	|	NOUN
fcis-6020	1	13	vol	vol	NOUN
fcis-6020	1	14	.	.	PROPN
fcis-6020	2	1	3	3	NUM
fcis-6020	2	2	,	,	PUNCT
fcis-6020	2	3	no	no	INTJ
fcis-6020	2	4	.	.	NOUN
fcis-6020	2	5	1	1	NUM
fcis-6020	2	6	,	,	PUNCT
fcis-6020	2	7	2023	2023	NUM
fcis-6020	2	8	30	30	NUM
fcis-6020	2	9	intelligent	intelligent	ADJ
fcis-6020	2	10	diagnosis	diagnosis	NOUN
fcis-6020	2	11	of	of	ADP
fcis-6020	2	12	alzheimer	alzheimer	PROPN
fcis-6020	2	13	's	's	PART
fcis-6020	2	14	disease	disease	NOUN
fcis-6020	2	15	ruifan	ruifan	PROPN
fcis-6020	2	16	huang1	huang1	PROPN
fcis-6020	2	17	,	,	PUNCT
fcis-6020	2	18	a	a	PRON
fcis-6020	2	19	,	,	PUNCT
fcis-6020	2	20	huifei	huifei	PROPN
fcis-6020	2	21	xu2	xu2	PROPN
fcis-6020	2	22	,	,	PUNCT
fcis-6020	2	23	b	b	PROPN
fcis-6020	2	24	1	1	NUM
fcis-6020	2	25	school	school	NOUN
fcis-6020	2	26	of	of	ADP
fcis-6020	2	27	sun	sun	PROPN
fcis-6020	2	28	yat	yat	PROPN
fcis-6020	2	29	-	-	PUNCT
fcis-6020	2	30	sen	sen	PROPN
fcis-6020	2	31	university	university	PROPN
fcis-6020	2	32	,	,	PUNCT
fcis-6020	2	33	guangzhou	guangzhou	PROPN
fcis-6020	2	34	510000	510000	NUM
fcis-6020	2	35	,	,	PUNCT
fcis-6020	2	36	china	china	PROPN
fcis-6020	2	37	2	2	NUM
fcis-6020	2	38	school	school	NOUN
fcis-6020	2	39	of	of	ADP
fcis-6020	2	40	hangzhou	hangzhou	PROPN
fcis-6020	2	41	normal	normal	PROPN
fcis-6020	2	42	university	university	PROPN
fcis-6020	2	43	,	,	PUNCT
fcis-6020	2	44	hangzhou	hangzhou	PROPN
fcis-6020	2	45	310000	310000	NUM
fcis-6020	2	46	,	,	PUNCT
fcis-6020	2	47	china	china	PROPN
fcis-6020	2	48	.	.	PUNCT
fcis-6020	3	1	a1059577592@qq.com	a1059577592@qq.com	PROPN
fcis-6020	3	2	,	,	PUNCT
fcis-6020	3	3	b1225604713@qq.com	b1225604713@qq.com	PROPN
fcis-6020	3	4	abstract	abstract	PROPN
fcis-6020	3	5	:	:	PUNCT
fcis-6020	3	6	in	in	ADP
fcis-6020	3	7	this	this	DET
fcis-6020	3	8	paper	paper	NOUN
fcis-6020	3	9	,	,	PUNCT
fcis-6020	3	10	we	we	PRON
fcis-6020	3	11	combine	combine	VERB
fcis-6020	3	12	the	the	DET
fcis-6020	3	13	knowledge	knowledge	NOUN
fcis-6020	3	14	of	of	ADP
fcis-6020	3	15	decision	decision	NOUN
fcis-6020	3	16	tree	tree	NOUN
fcis-6020	3	17	model	model	NOUN
fcis-6020	3	18	and	and	CCONJ
fcis-6020	3	19	k	k	NOUN
fcis-6020	3	20	-	-	PUNCT
fcis-6020	3	21	means	mean	VERB
fcis-6020	3	22	clustering	cluster	VERB
fcis-6020	3	23	algorithm	algorithm	NOUN
fcis-6020	3	24	with	with	ADP
fcis-6020	3	25	knowledge	knowledge	NOUN
fcis-6020	3	26	of	of	ADP
fcis-6020	3	27	statistics	statistic	NOUN
fcis-6020	3	28	to	to	PART
fcis-6020	3	29	solve	solve	VERB
fcis-6020	3	30	the	the	DET
fcis-6020	3	31	problems	problem	NOUN
fcis-6020	3	32	of	of	ADP
fcis-6020	3	33	diagnosis	diagnosis	NOUN
fcis-6020	3	34	of	of	ADP
fcis-6020	3	35	alzheimer	alzheimer	PROPN
fcis-6020	3	36	's	's	PART
fcis-6020	3	37	disease	disease	NOUN
fcis-6020	3	38	using	use	VERB
fcis-6020	3	39	brain	brain	NOUN
fcis-6020	3	40	structure	structure	NOUN
fcis-6020	3	41	.	.	PUNCT
fcis-6020	4	1	in	in	ADP
fcis-6020	4	2	the	the	DET
fcis-6020	4	3	step	step	NOUN
fcis-6020	4	4	of	of	ADP
fcis-6020	4	5	selecting	select	VERB
fcis-6020	4	6	features	feature	NOUN
fcis-6020	4	7	,	,	PUNCT
fcis-6020	4	8	this	this	DET
fcis-6020	4	9	paper	paper	NOUN
fcis-6020	4	10	considers	consider	VERB
fcis-6020	4	11	both	both	DET
fcis-6020	4	12	data	data	NOUN
fcis-6020	4	13	-	-	PUNCT
fcis-6020	4	14	based	base	VERB
fcis-6020	4	15	and	and	CCONJ
fcis-6020	4	16	theoretical	theoretical	ADJ
fcis-6020	4	17	perspectives	perspective	NOUN
fcis-6020	4	18	for	for	ADP
fcis-6020	4	19	the	the	DET
fcis-6020	4	20	analysis	analysis	NOUN
fcis-6020	4	21	of	of	ADP
fcis-6020	4	22	variance	variance	NOUN
fcis-6020	4	23	in	in	ADP
fcis-6020	4	24	alzheimer	alzheimer	PROPN
fcis-6020	4	25	's	's	PART
fcis-6020	4	26	disease	disease	NOUN
fcis-6020	4	27	.	.	PUNCT
fcis-6020	5	1	based	base	VERB
fcis-6020	5	2	on	on	ADP
fcis-6020	5	3	the	the	DET
fcis-6020	5	4	data	data	NOUN
fcis-6020	5	5	perspective	perspective	NOUN
fcis-6020	5	6	,	,	PUNCT
fcis-6020	5	7	the	the	DET
fcis-6020	5	8	value	value	NOUN
fcis-6020	5	9	of	of	ADP
fcis-6020	5	10	variance	variance	NOUN
fcis-6020	5	11	represents	represent	VERB
fcis-6020	5	12	the	the	DET
fcis-6020	5	13	magnitude	magnitude	NOUN
fcis-6020	5	14	of	of	ADP
fcis-6020	5	15	data	datum	NOUN
fcis-6020	5	16	volatility	volatility	NOUN
fcis-6020	5	17	,	,	PUNCT
fcis-6020	5	18	i.e.	i.e.	X
fcis-6020	5	19	,	,	PUNCT
fcis-6020	5	20	data	datum	NOUN
fcis-6020	5	21	with	with	ADP
fcis-6020	5	22	data	datum	NOUN
fcis-6020	5	23	volatility	volatility	NOUN
fcis-6020	5	24	has	have	VERB
fcis-6020	5	25	more	more	ADJ
fcis-6020	5	26	abilities	ability	NOUN
fcis-6020	5	27	to	to	PART
fcis-6020	5	28	cause	cause	VERB
fcis-6020	5	29	data	datum	NOUN
fcis-6020	5	30	changes	change	NOUN
fcis-6020	5	31	in	in	ADP
fcis-6020	5	32	feature	feature	NOUN
fcis-6020	5	33	classification	classification	NOUN
fcis-6020	5	34	.	.	PUNCT
fcis-6020	6	1	therefore	therefore	ADV
fcis-6020	6	2	,	,	PUNCT
fcis-6020	6	3	in	in	ADP
fcis-6020	6	4	this	this	DET
fcis-6020	6	5	paper	paper	NOUN
fcis-6020	6	6	,	,	PUNCT
fcis-6020	6	7	a	a	DET
fcis-6020	6	8	total	total	NOUN
fcis-6020	6	9	of	of	ADP
fcis-6020	6	10	28	28	NUM
fcis-6020	6	11	indicators	indicator	NOUN
fcis-6020	6	12	of	of	ADP
fcis-6020	6	13	site	site	NOUN
fcis-6020	6	14	-	-	PUNCT
fcis-6020	6	15	faq	faq	NOUN
fcis-6020	6	16	were	be	AUX
fcis-6020	6	17	selected	select	VERB
fcis-6020	6	18	as	as	ADP
fcis-6020	6	19	necessary	necessary	ADJ
fcis-6020	6	20	indicators	indicator	NOUN
fcis-6020	6	21	and	and	CCONJ
fcis-6020	6	22	histograms	histogram	NOUN
fcis-6020	6	23	were	be	AUX
fcis-6020	6	24	made	make	VERB
fcis-6020	6	25	to	to	PART
fcis-6020	6	26	observe	observe	VERB
fcis-6020	6	27	the	the	DET
fcis-6020	6	28	volatility	volatility	NOUN
fcis-6020	6	29	.	.	PUNCT
fcis-6020	7	1	after	after	ADP
fcis-6020	7	2	the	the	DET
fcis-6020	7	3	above	above	ADJ
fcis-6020	7	4	data	data	NOUN
fcis-6020	7	5	processing	processing	NOUN
fcis-6020	7	6	,	,	PUNCT
fcis-6020	7	7	we	we	PRON
fcis-6020	7	8	use	use	VERB
fcis-6020	7	9	the	the	DET
fcis-6020	7	10	attached	attached	ADJ
fcis-6020	7	11	structural	structural	ADJ
fcis-6020	7	12	brain	brain	NOUN
fcis-6020	7	13	features	feature	NOUN
fcis-6020	7	14	and	and	CCONJ
fcis-6020	7	15	cognitive	cognitive	ADJ
fcis-6020	7	16	behavioral	behavioral	ADJ
fcis-6020	7	17	features	feature	NOUN
fcis-6020	7	18	to	to	PART
fcis-6020	7	19	design	design	VERB
fcis-6020	7	20	an	an	DET
fcis-6020	7	21	intelligent	intelligent	ADJ
fcis-6020	7	22	diagnosis	diagnosis	NOUN
fcis-6020	7	23	of	of	ADP
fcis-6020	7	24	alzheimer	alzheimer	PROPN
fcis-6020	7	25	's	's	PART
fcis-6020	7	26	disease	disease	NOUN
fcis-6020	7	27	.	.	PUNCT
fcis-6020	8	1	for	for	ADP
fcis-6020	8	2	multiclassification	multiclassification	NOUN
fcis-6020	8	3	models	model	NOUN
fcis-6020	8	4	,	,	PUNCT
fcis-6020	8	5	this	this	DET
fcis-6020	8	6	paper	paper	NOUN
fcis-6020	8	7	uses	use	VERB
fcis-6020	8	8	the	the	DET
fcis-6020	8	9	k	k	NOUN
fcis-6020	8	10	-	-	PUNCT
fcis-6020	8	11	means	means	NOUN
fcis-6020	8	12	algorithm	algorithm	NOUN
fcis-6020	8	13	to	to	ADP
fcis-6020	8	14	cluster	cluster	VERB
fcis-6020	8	15	and	and	CCONJ
fcis-6020	8	16	continue	continue	VERB
fcis-6020	8	17	to	to	PART
fcis-6020	8	18	cluster	cluster	VERB
fcis-6020	8	19	mci	mci	PROPN
fcis-6020	8	20	into	into	ADP
fcis-6020	8	21	smc	smc	PROPN
fcis-6020	8	22	,	,	PUNCT
fcis-6020	8	23	emci	emci	NOUN
fcis-6020	8	24	,	,	PUNCT
fcis-6020	8	25	lmci	lmci	VERB
fcis-6020	8	26	to	to	PART
fcis-6020	8	27	observe	observe	VERB
fcis-6020	8	28	the	the	DET
fcis-6020	8	29	difference	difference	NOUN
fcis-6020	8	30	between	between	ADP
fcis-6020	8	31	cluster	cluster	NOUN
fcis-6020	8	32	centers	center	NOUN
fcis-6020	8	33	.	.	PUNCT
fcis-6020	9	1	after	after	ADP
fcis-6020	9	2	clustering	cluster	VERB
fcis-6020	9	3	53	53	NUM
fcis-6020	9	4	indicators	indicator	NOUN
fcis-6020	9	5	,	,	PUNCT
fcis-6020	9	6	this	this	DET
fcis-6020	9	7	paper	paper	NOUN
fcis-6020	9	8	analyzes	analyze	VERB
fcis-6020	9	9	the	the	DET
fcis-6020	9	10	three	three	NUM
fcis-6020	9	11	types	type	NOUN
fcis-6020	9	12	of	of	ADP
fcis-6020	9	13	cluster	cluster	NOUN
fcis-6020	9	14	centers	center	NOUN
fcis-6020	9	15	,	,	PUNCT
fcis-6020	9	16	mainly	mainly	ADV
fcis-6020	9	17	to	to	PART
fcis-6020	9	18	analyze	analyze	VERB
fcis-6020	9	19	the	the	DET
fcis-6020	9	20	different	different	ADJ
fcis-6020	9	21	points	point	NOUN
fcis-6020	9	22	in	in	ADP
fcis-6020	9	23	the	the	DET
fcis-6020	9	24	number	number	NOUN
fcis-6020	9	25	of	of	ADP
fcis-6020	9	26	clusters	cluster	NOUN
fcis-6020	9	27	,	,	PUNCT
fcis-6020	9	28	and	and	CCONJ
fcis-6020	9	29	analyzes	analyze	VERB
fcis-6020	9	30	the	the	DET
fcis-6020	9	31	difference	difference	NOUN
fcis-6020	9	32	in	in	ADP
fcis-6020	9	33	the	the	DET
fcis-6020	9	34	mean	mean	ADJ
fcis-6020	9	35	value	value	NOUN
fcis-6020	9	36	of	of	ADP
fcis-6020	9	37	the	the	DET
fcis-6020	9	38	characteristics	characteristic	NOUN
fcis-6020	9	39	of	of	ADP
fcis-6020	9	40	the	the	DET
fcis-6020	9	41	cluster	cluster	NOUN
fcis-6020	9	42	centers	center	NOUN
fcis-6020	9	43	,	,	PUNCT
fcis-6020	9	44	and	and	CCONJ
fcis-6020	9	45	at	at	ADP
fcis-6020	9	46	the	the	DET
fcis-6020	9	47	same	same	ADJ
fcis-6020	9	48	time	time	NOUN
fcis-6020	9	49	,	,	PUNCT
fcis-6020	9	50	this	this	DET
fcis-6020	9	51	paper	paper	NOUN
fcis-6020	9	52	observes	observe	VERB
fcis-6020	9	53	the	the	DET
fcis-6020	9	54	differences	difference	NOUN
fcis-6020	9	55	between	between	ADP
fcis-6020	9	56	the	the	DET
fcis-6020	9	57	characteristics	characteristic	NOUN
fcis-6020	9	58	by	by	ADP
fcis-6020	9	59	visualizing	visualize	VERB
fcis-6020	9	60	the	the	DET
fcis-6020	9	61	data	datum	NOUN
fcis-6020	9	62	.	.	PUNCT
fcis-6020	10	1	in	in	ADP
fcis-6020	10	2	the	the	DET
fcis-6020	10	3	end	end	NOUN
fcis-6020	10	4	,	,	PUNCT
fcis-6020	10	5	we	we	PRON
fcis-6020	10	6	analyze	analyze	VERB
fcis-6020	10	7	them	they	PRON
fcis-6020	10	8	in	in	ADP
fcis-6020	10	9	relation	relation	NOUN
fcis-6020	10	10	to	to	ADP
fcis-6020	10	11	the	the	DET
fcis-6020	10	12	time	time	NOUN
fcis-6020	10	13	points	point	NOUN
fcis-6020	10	14	to	to	PART
fcis-6020	10	15	uncover	uncover	VERB
fcis-6020	10	16	patterns	pattern	NOUN
fcis-6020	10	17	in	in	ADP
fcis-6020	10	18	the	the	DET
fcis-6020	10	19	evolution	evolution	NOUN
fcis-6020	10	20	of	of	ADP
fcis-6020	10	21	different	different	ADJ
fcis-6020	10	22	categories	category	NOUN
fcis-6020	10	23	of	of	ADP
fcis-6020	10	24	diseases	disease	NOUN
fcis-6020	10	25	over	over	ADP
fcis-6020	10	26	time	time	NOUN
fcis-6020	10	27	.	.	PUNCT
fcis-6020	11	1	at	at	ADP
fcis-6020	11	2	the	the	DET
fcis-6020	11	3	same	same	ADJ
fcis-6020	11	4	time	time	NOUN
fcis-6020	11	5	,	,	PUNCT
fcis-6020	11	6	due	due	ADP
fcis-6020	11	7	to	to	ADP
fcis-6020	11	8	the	the	DET
fcis-6020	11	9	large	large	ADJ
fcis-6020	11	10	amount	amount	NOUN
fcis-6020	11	11	of	of	ADP
fcis-6020	11	12	data	datum	NOUN
fcis-6020	11	13	,	,	PUNCT
fcis-6020	11	14	this	this	DET
fcis-6020	11	15	paper	paper	NOUN
fcis-6020	11	16	only	only	ADV
fcis-6020	11	17	selects	select	VERB
fcis-6020	11	18	a	a	DET
fcis-6020	11	19	small	small	ADJ
fcis-6020	11	20	sample	sample	NOUN
fcis-6020	11	21	of	of	ADP
fcis-6020	11	22	five	five	NUM
fcis-6020	11	23	features	feature	NOUN
fcis-6020	11	24	for	for	ADP
fcis-6020	11	25	analysis	analysis	NOUN
fcis-6020	11	26	.	.	PUNCT
fcis-6020	12	1	keywords	keyword	NOUN
fcis-6020	12	2	:	:	PUNCT
fcis-6020	12	3	decision	decision	NOUN
fcis-6020	12	4	tree	tree	NOUN
fcis-6020	12	5	;	;	PUNCT
fcis-6020	12	6	random	random	ADJ
fcis-6020	12	7	forest	forest	NOUN
fcis-6020	12	8	;	;	PUNCT
fcis-6020	12	9	k	k	X
fcis-6020	12	10	-	-	PUNCT
fcis-6020	12	11	means	mean	VERB
fcis-6020	12	12	clustering	clustering	NOUN
fcis-6020	12	13	;	;	PUNCT
fcis-6020	12	14	pearson	pearson	PROPN
fcis-6020	12	15	coefficient	coefficient	NOUN
fcis-6020	12	16	.	.	PUNCT
fcis-6020	13	1	1	1	X
fcis-6020	13	2	.	.	X
fcis-6020	13	3	introduction	introduction	NOUN
fcis-6020	13	4	1.1	1.1	NUM
fcis-6020	13	5	.	.	PUNCT
fcis-6020	14	1	problem	problem	PROPN
fcis-6020	14	2	backgroud	backgroud	PROPN
fcis-6020	14	3	alzheimer	alzheimer	PROPN
fcis-6020	14	4	's	's	PART
fcis-6020	14	5	disease	disease	NOUN
fcis-6020	14	6	(	(	PUNCT
fcis-6020	14	7	ad	ad	NOUN
fcis-6020	14	8	)	)	PUNCT
fcis-6020	14	9	is	be	AUX
fcis-6020	14	10	a	a	DET
fcis-6020	14	11	progressive	progressive	ADJ
fcis-6020	14	12	neurodegenerative	neurodegenerative	ADJ
fcis-6020	14	13	disease	disease	NOUN
fcis-6020	14	14	with	with	ADP
fcis-6020	14	15	an	an	DET
fcis-6020	14	16	insidious	insidious	ADJ
fcis-6020	14	17	onset	onset	NOUN
fcis-6020	14	18	.	.	PUNCT
fcis-6020	15	1	it	it	PRON
fcis-6020	15	2	is	be	AUX
fcis-6020	15	3	characterized	characterize	VERB
fcis-6020	15	4	clinically	clinically	ADV
fcis-6020	15	5	by	by	ADP
fcis-6020	15	6	a	a	DET
fcis-6020	15	7	full	full	ADJ
fcis-6020	15	8	spectrum	spectrum	NOUN
fcis-6020	15	9	of	of	ADP
fcis-6020	15	10	dementia	dementia	NOUN
fcis-6020	15	11	,	,	PUNCT
fcis-6020	15	12	including	include	VERB
fcis-6020	15	13	memory	memory	NOUN
fcis-6020	15	14	impairment	impairment	NOUN
fcis-6020	15	15	,	,	PUNCT
fcis-6020	15	16	aphasia	aphasia	NOUN
fcis-6020	15	17	,	,	PUNCT
fcis-6020	15	18	dysfluency	dysfluency	NOUN
fcis-6020	15	19	,	,	PUNCT
fcis-6020	15	20	agnosia	agnosia	NOUN
fcis-6020	15	21	,	,	PUNCT
fcis-6020	15	22	impairment	impairment	NOUN
fcis-6020	15	23	of	of	ADP
fcis-6020	15	24	visuospatial	visuospatial	ADJ
fcis-6020	15	25	skills	skill	NOUN
fcis-6020	15	26	,	,	PUNCT
fcis-6020	15	27	executive	executive	ADJ
fcis-6020	15	28	dysfunction	dysfunction	NOUN
fcis-6020	15	29	,	,	PUNCT
fcis-6020	15	30	and	and	CCONJ
fcis-6020	15	31	personality	personality	NOUN
fcis-6020	15	32	and	and	CCONJ
fcis-6020	15	33	behavioral	behavioral	ADJ
fcis-6020	15	34	changes	change	NOUN
fcis-6020	15	35	,	,	PUNCT
fcis-6020	15	36	the	the	DET
fcis-6020	15	37	cause	cause	NOUN
fcis-6020	15	38	of	of	ADP
fcis-6020	15	39	which	which	PRON
fcis-6020	15	40	is	be	AUX
fcis-6020	15	41	still	still	ADV
fcis-6020	15	42	unknown	unknown	ADJ
fcis-6020	15	43	.	.	PUNCT
fcis-6020	16	1	it	it	PRON
fcis-6020	16	2	is	be	AUX
fcis-6020	16	3	characterized	characterize	VERB
fcis-6020	16	4	by	by	ADP
fcis-6020	16	5	a	a	DET
fcis-6020	16	6	progressive	progressive	ADJ
fcis-6020	16	7	decline	decline	NOUN
fcis-6020	16	8	in	in	ADP
fcis-6020	16	9	the	the	DET
fcis-6020	16	10	ability	ability	NOUN
fcis-6020	16	11	to	to	PART
fcis-6020	16	12	perform	perform	VERB
fcis-6020	16	13	activities	activity	NOUN
fcis-6020	16	14	of	of	ADP
fcis-6020	16	15	daily	daily	ADJ
fcis-6020	16	16	living	living	NOUN
fcis-6020	16	17	,	,	PUNCT
fcis-6020	16	18	with	with	ADP
fcis-6020	16	19	various	various	ADJ
fcis-6020	16	20	neuropsychiatric	neuropsychiatric	ADJ
fcis-6020	16	21	symptoms	symptom	NOUN
fcis-6020	16	22	and	and	CCONJ
fcis-6020	16	23	behavioral	behavioral	ADJ
fcis-6020	16	24	disturbances	disturbance	NOUN
fcis-6020	16	25	.	.	PUNCT
fcis-6020	17	1	the	the	DET
fcis-6020	17	2	disease	disease	NOUN
fcis-6020	17	3	is	be	AUX
fcis-6020	17	4	usually	usually	ADV
fcis-6020	17	5	progressive	progressive	ADJ
fcis-6020	17	6	in	in	ADP
fcis-6020	17	7	the	the	DET
fcis-6020	17	8	elderly	elderly	ADJ
fcis-6020	17	9	,	,	PUNCT
fcis-6020	17	10	with	with	ADP
fcis-6020	17	11	progressive	progressive	ADJ
fcis-6020	17	12	loss	loss	NOUN
fcis-6020	17	13	of	of	ADP
fcis-6020	17	14	independent	independent	ADJ
fcis-6020	17	15	living	living	NOUN
fcis-6020	17	16	skills	skill	NOUN
fcis-6020	17	17	and	and	CCONJ
fcis-6020	17	18	death	death	NOUN
fcis-6020	17	19	from	from	ADP
fcis-6020	17	20	complications	complication	NOUN
fcis-6020	17	21	10	10	NUM
fcis-6020	17	22	to	to	PART
fcis-6020	17	23	20	20	NUM
fcis-6020	17	24	years	year	NOUN
fcis-6020	17	25	after	after	ADP
fcis-6020	17	26	the	the	DET
fcis-6020	17	27	onset	onset	NOUN
fcis-6020	17	28	of	of	ADP
fcis-6020	17	29	the	the	DET
fcis-6020	17	30	disease	disease	NOUN
fcis-6020	17	31	.	.	PUNCT
fcis-6020	18	1	the	the	DET
fcis-6020	18	2	preclinical	preclinical	ADJ
fcis-6020	18	3	stage	stage	NOUN
fcis-6020	18	4	of	of	ADP
fcis-6020	18	5	alzheimer	alzheimer	PROPN
fcis-6020	18	6	's	's	PART
fcis-6020	18	7	disease	disease	NOUN
fcis-6020	18	8	,	,	PUNCT
fcis-6020	18	9	also	also	ADV
fcis-6020	18	10	known	know	VERB
fcis-6020	18	11	as	as	ADP
fcis-6020	18	12	mild	mild	ADJ
fcis-6020	18	13	cognitive	cognitive	ADJ
fcis-6020	18	14	impairment	impairment	NOUN
fcis-6020	18	15	(	(	PUNCT
fcis-6020	18	16	mci	mci	PROPN
fcis-6020	18	17	)	)	PUNCT
fcis-6020	18	18	,	,	PUNCT
fcis-6020	18	19	is	be	AUX
fcis-6020	18	20	a	a	DET
fcis-6020	18	21	transitional	transitional	ADJ
fcis-6020	18	22	state	state	NOUN
fcis-6020	18	23	between	between	ADP
fcis-6020	18	24	normal	normal	ADJ
fcis-6020	18	25	and	and	CCONJ
fcis-6020	18	26	severe	severe	ADJ
fcis-6020	18	27	.	.	PUNCT
fcis-6020	19	1	due	due	ADP
fcis-6020	19	2	to	to	ADP
fcis-6020	19	3	the	the	DET
fcis-6020	19	4	limited	limited	ADJ
fcis-6020	19	5	cognition	cognition	NOUN
fcis-6020	19	6	of	of	ADP
fcis-6020	19	7	the	the	DET
fcis-6020	19	8	disease	disease	NOUN
fcis-6020	19	9	by	by	ADP
fcis-6020	19	10	patients	patient	NOUN
fcis-6020	19	11	and	and	CCONJ
fcis-6020	19	12	their	their	PRON
fcis-6020	19	13	families	family	NOUN
fcis-6020	19	14	,	,	PUNCT
fcis-6020	19	15	67	67	NUM
fcis-6020	19	16	%	%	NOUN
fcis-6020	19	17	of	of	ADP
fcis-6020	19	18	patients	patient	NOUN
fcis-6020	19	19	were	be	AUX
fcis-6020	19	20	diagnosed	diagnose	VERB
fcis-6020	19	21	as	as	ADP
fcis-6020	19	22	moderate	moderate	ADJ
fcis-6020	19	23	to	to	ADP
fcis-6020	19	24	severe	severe	ADJ
fcis-6020	19	25	and	and	CCONJ
fcis-6020	19	26	had	have	AUX
fcis-6020	19	27	missed	miss	VERB
fcis-6020	19	28	the	the	DET
fcis-6020	19	29	best	good	ADJ
fcis-6020	19	30	intervention	intervention	NOUN
fcis-6020	19	31	stage	stage	NOUN
fcis-6020	19	32	.	.	PUNCT
fcis-6020	20	1	therefore	therefore	ADV
fcis-6020	20	2	,	,	PUNCT
fcis-6020	20	3	early	early	ADJ
fcis-6020	20	4	and	and	CCONJ
fcis-6020	20	5	accurate	accurate	ADJ
fcis-6020	20	6	diagnosis	diagnosis	NOUN
fcis-6020	20	7	of	of	ADP
fcis-6020	20	8	alzheimer	alzheimer	PROPN
fcis-6020	20	9	's	's	PART
fcis-6020	20	10	disease	disease	NOUN
fcis-6020	20	11	and	and	CCONJ
fcis-6020	20	12	mild	mild	ADJ
fcis-6020	20	13	cognitive	cognitive	ADJ
fcis-6020	20	14	impairment	impairment	NOUN
fcis-6020	20	15	is	be	AUX
fcis-6020	20	16	of	of	ADP
fcis-6020	20	17	great	great	ADJ
fcis-6020	20	18	significance	significance	NOUN
fcis-6020	20	19	[	[	X
fcis-6020	20	20	1	1	NUM
fcis-6020	20	21	]	]	SYM
fcis-6020	20	22	1.2	1.2	NUM
fcis-6020	20	23	.	.	PUNCT
fcis-6020	21	1	clarifications	clarification	NOUN
fcis-6020	21	2	and	and	CCONJ
fcis-6020	21	3	restatements	restatement	NOUN
fcis-6020	21	4	this	this	DET
fcis-6020	21	5	paper	paper	NOUN
fcis-6020	21	6	uses	use	VERB
fcis-6020	21	7	the	the	DET
fcis-6020	21	8	brain	brain	NOUN
fcis-6020	21	9	structural	structural	ADJ
fcis-6020	21	10	characteristics	characteristic	NOUN
fcis-6020	21	11	and	and	CCONJ
fcis-6020	21	12	cognitive	cognitive	ADJ
fcis-6020	21	13	behavioral	behavioral	ADJ
fcis-6020	21	14	characteristics	characteristic	NOUN
fcis-6020	21	15	of	of	ADP
fcis-6020	21	16	the	the	DET
fcis-6020	21	17	different	different	ADJ
fcis-6020	21	18	categories	category	NOUN
fcis-6020	21	19	of	of	ADP
fcis-6020	21	20	people	people	NOUN
fcis-6020	21	21	provided	provide	VERB
fcis-6020	21	22	in	in	ADP
fcis-6020	21	23	the	the	DET
fcis-6020	21	24	data	datum	NOUN
fcis-6020	21	25	set	set	VERB
fcis-6020	21	26	to	to	PART
fcis-6020	21	27	construct	construct	VERB
fcis-6020	21	28	an	an	DET
fcis-6020	21	29	alzheimer	alzheimer	NOUN
fcis-6020	21	30	's	's	PART
fcis-6020	21	31	disease	disease	NOUN
fcis-6020	21	32	identification	identification	NOUN
fcis-6020	21	33	model	model	NOUN
fcis-6020	21	34	and	and	CCONJ
fcis-6020	21	35	design	design	VERB
fcis-6020	21	36	an	an	DET
fcis-6020	21	37	intelligent	intelligent	ADJ
fcis-6020	21	38	diagnostic	diagnostic	ADJ
fcis-6020	21	39	method	method	NOUN
fcis-6020	21	40	to	to	PART
fcis-6020	21	41	accurately	accurately	ADV
fcis-6020	21	42	diagnose	diagnose	VERB
fcis-6020	21	43	alzheimer	alzheimer	PROPN
fcis-6020	21	44	's	's	PART
fcis-6020	21	45	disease	disease	NOUN
fcis-6020	21	46	.	.	PUNCT
fcis-6020	22	1	in	in	ADP
fcis-6020	22	2	this	this	DET
fcis-6020	22	3	paper	paper	NOUN
fcis-6020	22	4	,	,	PUNCT
fcis-6020	22	5	the	the	DET
fcis-6020	22	6	research	research	NOUN
fcis-6020	22	7	is	be	AUX
fcis-6020	22	8	decomposed	decompose	VERB
fcis-6020	22	9	into	into	ADP
fcis-6020	22	10	four	four	NUM
fcis-6020	22	11	problems	problem	NOUN
fcis-6020	22	12	shown	show	VERB
fcis-6020	22	13	below	below	ADP
fcis-6020	22	14	.	.	PUNCT
fcis-6020	23	1	1	1	NUM
fcis-6020	23	2	)	)	PUNCT
fcis-6020	23	3	.	.	PUNCT
fcis-6020	24	1	preprocess	preprocess	NOUN
fcis-6020	24	2	the	the	DET
fcis-6020	24	3	characteristic	characteristic	ADJ
fcis-6020	24	4	indicators	indicator	NOUN
fcis-6020	24	5	of	of	ADP
fcis-6020	24	6	the	the	DET
fcis-6020	24	7	attached	attached	ADJ
fcis-6020	24	8	data	datum	NOUN
fcis-6020	24	9	to	to	PART
fcis-6020	24	10	investigate	investigate	VERB
fcis-6020	24	11	the	the	DET
fcis-6020	24	12	correlation	correlation	NOUN
fcis-6020	24	13	between	between	ADP
fcis-6020	24	14	data	datum	NOUN
fcis-6020	24	15	characteristics	characteristic	NOUN
fcis-6020	24	16	and	and	CCONJ
fcis-6020	24	17	the	the	DET
fcis-6020	24	18	diagnosis	diagnosis	NOUN
fcis-6020	24	19	of	of	ADP
fcis-6020	24	20	alzheimer	alzheimer	PROPN
fcis-6020	24	21	's	's	PART
fcis-6020	24	22	disease	disease	NOUN
fcis-6020	24	23	.	.	PUNCT
fcis-6020	25	1	2	2	NUM
fcis-6020	25	2	)	)	PUNCT
fcis-6020	25	3	.	.	PUNCT
fcis-6020	26	1	use	use	VERB
fcis-6020	26	2	the	the	DET
fcis-6020	26	3	attached	attached	ADJ
fcis-6020	26	4	structural	structural	ADJ
fcis-6020	26	5	brain	brain	NOUN
fcis-6020	26	6	features	feature	NOUN
fcis-6020	26	7	and	and	CCONJ
fcis-6020	26	8	cognitive	cognitive	ADJ
fcis-6020	26	9	behavioral	behavioral	ADJ
fcis-6020	26	10	features	feature	NOUN
fcis-6020	26	11	to	to	PART
fcis-6020	26	12	design	design	VERB
fcis-6020	26	13	an	an	DET
fcis-6020	26	14	intelligent	intelligent	ADJ
fcis-6020	26	15	diagnosis	diagnosis	NOUN
fcis-6020	26	16	of	of	ADP
fcis-6020	26	17	alzheimer	alzheimer	PROPN
fcis-6020	26	18	's	's	PART
fcis-6020	26	19	disease	disease	NOUN
fcis-6020	26	20	.	.	PUNCT
fcis-6020	27	1	3	3	NUM
fcis-6020	27	2	)	)	PUNCT
fcis-6020	27	3	.	.	PUNCT
fcis-6020	28	1	first	first	ADV
fcis-6020	28	2	,	,	PUNCT
fcis-6020	28	3	cluster	cluster	NOUN
fcis-6020	28	4	cn	cn	PROPN
fcis-6020	28	5	,	,	PUNCT
fcis-6020	28	6	mci	mci	PROPN
fcis-6020	28	7	and	and	CCONJ
fcis-6020	28	8	ad	ad	NOUN
fcis-6020	28	9	into	into	ADP
fcis-6020	28	10	three	three	NUM
fcis-6020	28	11	major	major	ADJ
fcis-6020	28	12	classes	class	NOUN
fcis-6020	28	13	.	.	PUNCT
fcis-6020	29	1	then	then	ADV
fcis-6020	29	2	,	,	PUNCT
fcis-6020	29	3	for	for	ADP
fcis-6020	29	4	the	the	DET
fcis-6020	29	5	three	three	NUM
fcis-6020	29	6	subclasses	subclass	NOUN
fcis-6020	29	7	contained	contain	VERB
fcis-6020	29	8	in	in	ADP
fcis-6020	29	9	mci	mci	PROPN
fcis-6020	29	10	(	(	PUNCT
fcis-6020	29	11	smc	smc	PROPN
fcis-6020	29	12	,	,	PUNCT
fcis-6020	29	13	emci	emci	NOUN
fcis-6020	29	14	,	,	PUNCT
fcis-6020	29	15	and	and	CCONJ
fcis-6020	29	16	lmci	lmci	NOUN
fcis-6020	29	17	)	)	PUNCT
fcis-6020	29	18	,	,	PUNCT
fcis-6020	29	19	the	the	DET
fcis-6020	29	20	clustering	clustering	NOUN
fcis-6020	29	21	was	be	AUX
fcis-6020	29	22	continued	continue	VERB
fcis-6020	29	23	to	to	PART
fcis-6020	29	24	be	be	AUX
fcis-6020	29	25	refined	refine	VERB
fcis-6020	29	26	into	into	ADP
fcis-6020	29	27	three	three	NUM
fcis-6020	29	28	subclasses	subclass	NOUN
fcis-6020	29	29	.	.	PUNCT
fcis-6020	30	1	4	4	NUM
fcis-6020	30	2	)	)	PUNCT
fcis-6020	30	3	.	.	PUNCT
fcis-6020	31	1	the	the	DET
fcis-6020	31	2	same	same	ADJ
fcis-6020	31	3	sample	sample	NOUN
fcis-6020	31	4	in	in	ADP
fcis-6020	31	5	the	the	DET
fcis-6020	31	6	annex	annex	NOUN
fcis-6020	31	7	contains	contain	VERB
fcis-6020	31	8	features	feature	NOUN
fcis-6020	31	9	collected	collect	VERB
fcis-6020	31	10	at	at	ADP
fcis-6020	31	11	different	different	ADJ
fcis-6020	31	12	time	time	NOUN
fcis-6020	31	13	points	point	NOUN
fcis-6020	31	14	,	,	PUNCT
fcis-6020	31	15	we	we	PRON
fcis-6020	31	16	will	will	AUX
fcis-6020	31	17	analyze	analyze	VERB
fcis-6020	31	18	them	they	PRON
fcis-6020	31	19	in	in	ADP
fcis-6020	31	20	relation	relation	NOUN
fcis-6020	31	21	to	to	ADP
fcis-6020	31	22	the	the	DET
fcis-6020	31	23	time	time	NOUN
fcis-6020	31	24	points	point	NOUN
fcis-6020	31	25	to	to	PART
fcis-6020	31	26	uncover	uncover	VERB
fcis-6020	31	27	patterns	pattern	NOUN
fcis-6020	31	28	in	in	ADP
fcis-6020	31	29	the	the	DET
fcis-6020	31	30	evolution	evolution	NOUN
fcis-6020	31	31	of	of	ADP
fcis-6020	31	32	different	different	ADJ
fcis-6020	31	33	categories	category	NOUN
fcis-6020	31	34	of	of	ADP
fcis-6020	31	35	diseases	disease	NOUN
fcis-6020	31	36	over	over	ADP
fcis-6020	31	37	time	time	NOUN
fcis-6020	31	38	.	.	PUNCT
fcis-6020	32	1	2	2	X
fcis-6020	32	2	.	.	X
fcis-6020	32	3	general	general	ADJ
fcis-6020	32	4	assumptions	assumption	NOUN
fcis-6020	32	5	and	and	CCONJ
fcis-6020	32	6	variable	variable	ADJ
fcis-6020	32	7	description	description	NOUN
fcis-6020	32	8	2.1	2.1	NUM
fcis-6020	32	9	.	.	PUNCT
fcis-6020	32	10	assumptions	assumption	NOUN
fcis-6020	32	11	1	1	NUM
fcis-6020	32	12	)	)	PUNCT
fcis-6020	32	13	.	.	PUNCT
fcis-6020	33	1	assume	assume	VERB
fcis-6020	33	2	that	that	SCONJ
fcis-6020	33	3	the	the	DET
fcis-6020	33	4	effect	effect	NOUN
fcis-6020	33	5	of	of	ADP
fcis-6020	33	6	environmental	environmental	ADJ
fcis-6020	33	7	factors	factor	NOUN
fcis-6020	33	8	on	on	ADP
fcis-6020	33	9	the	the	DET
fcis-6020	33	10	composition	composition	NOUN
fcis-6020	33	11	of	of	ADP
fcis-6020	33	12	ancient	ancient	ADJ
fcis-6020	33	13	glass	glass	NOUN
fcis-6020	33	14	artifacts	artifact	NOUN
fcis-6020	33	15	will	will	AUX
fcis-6020	33	16	not	not	PART
fcis-6020	33	17	change	change	VERB
fcis-6020	33	18	the	the	DET
fcis-6020	33	19	original	original	ADJ
fcis-6020	33	20	chemical	chemical	NOUN
fcis-6020	33	21	composition	composition	NOUN
fcis-6020	33	22	content	content	NOUN
fcis-6020	33	23	ratio	ratio	NOUN
fcis-6020	33	24	by	by	ADP
fcis-6020	33	25	20	20	NUM
fcis-6020	33	26	%	%	NOUN
fcis-6020	33	27	.	.	PUNCT
fcis-6020	34	1	2	2	NUM
fcis-6020	34	2	)	)	PUNCT
fcis-6020	34	3	.	.	PUNCT
fcis-6020	35	1	assume	assume	VERB
fcis-6020	35	2	that	that	SCONJ
fcis-6020	35	3	in	in	ADP
fcis-6020	35	4	the	the	DET
fcis-6020	35	5	sampling	sample	VERB
fcis-6020	35	6	test	test	NOUN
fcis-6020	35	7	,	,	PUNCT
fcis-6020	35	8	there	there	PRON
fcis-6020	35	9	is	be	VERB
fcis-6020	35	10	no	no	DET
fcis-6020	35	11	human	human	ADJ
fcis-6020	35	12	error	error	NOUN
fcis-6020	35	13	in	in	ADP
fcis-6020	35	14	the	the	DET
fcis-6020	35	15	test	test	NOUN
fcis-6020	35	16	results	result	NOUN
fcis-6020	35	17	,	,	PUNCT
fcis-6020	35	18	while	while	SCONJ
fcis-6020	35	19	the	the	DET
fcis-6020	35	20	error	error	NOUN
fcis-6020	35	21	between	between	ADP
fcis-6020	35	22	the	the	DET
fcis-6020	35	23	test	test	NOUN
fcis-6020	35	24	results	result	NOUN
fcis-6020	35	25	and	and	CCONJ
fcis-6020	35	26	the	the	DET
fcis-6020	35	27	true	true	ADJ
fcis-6020	35	28	content	content	NOUN
fcis-6020	35	29	should	should	AUX
fcis-6020	35	30	be	be	AUX
fcis-6020	35	31	less	less	ADJ
fcis-6020	35	32	than	than	ADP
fcis-6020	35	33	2	2	NUM
fcis-6020	35	34	%	%	NOUN
fcis-6020	35	35	.	.	PUNCT
fcis-6020	36	1	3	3	NUM
fcis-6020	36	2	)	)	PUNCT
fcis-6020	36	3	.	.	PUNCT
fcis-6020	37	1	it	it	PRON
fcis-6020	37	2	is	be	AUX
fcis-6020	37	3	assumed	assume	VERB
fcis-6020	37	4	that	that	SCONJ
fcis-6020	37	5	chemical	chemical	ADJ
fcis-6020	37	6	components	component	NOUN
fcis-6020	37	7	not	not	PART
fcis-6020	37	8	collected	collect	VERB
fcis-6020	37	9	in	in	ADP
fcis-6020	37	10	the	the	DET
fcis-6020	37	11	sampling	sample	VERB
fcis-6020	37	12	tests	test	NOUN
fcis-6020	37	13	and	and	CCONJ
fcis-6020	37	14	not	not	PART
fcis-6020	37	15	studied	study	VERB
fcis-6020	37	16	will	will	AUX
fcis-6020	37	17	not	not	PART
fcis-6020	37	18	have	have	VERB
fcis-6020	37	19	a	a	DET
fcis-6020	37	20	significant	significant	ADJ
fcis-6020	37	21	correlative	correlative	ADJ
fcis-6020	37	22	effect	effect	NOUN
fcis-6020	37	23	on	on	ADP
fcis-6020	37	24	the	the	DET
fcis-6020	37	25	content	content	NOUN
fcis-6020	37	26	of	of	ADP
fcis-6020	37	27	other	other	ADJ
fcis-6020	37	28	chemical	chemical	ADJ
fcis-6020	37	29	components	component	NOUN
fcis-6020	37	30	.	.	PUNCT
fcis-6020	38	1	4	4	NUM
fcis-6020	38	2	)	)	PUNCT
fcis-6020	38	3	.	.	PUNCT
fcis-6020	39	1	assume	assume	VERB
fcis-6020	39	2	that	that	SCONJ
fcis-6020	39	3	there	there	PRON
fcis-6020	39	4	are	be	VERB
fcis-6020	39	5	no	no	DET
fcis-6020	39	6	interactions	interaction	NOUN
fcis-6020	39	7	between	between	ADP
fcis-6020	39	8	different	different	ADJ
fcis-6020	39	9	chemical	chemical	NOUN
fcis-6020	39	10	components	component	NOUN
fcis-6020	39	11	or	or	CCONJ
fcis-6020	39	12	between	between	ADP
fcis-6020	39	13	different	different	ADJ
fcis-6020	39	14	representations	representation	NOUN
fcis-6020	39	15	of	of	ADP
fcis-6020	39	16	the	the	DET
fcis-6020	39	17	artifacts	artifact	NOUN
fcis-6020	39	18	.	.	PUNCT
fcis-6020	40	1	5	5	NUM
fcis-6020	40	2	)	)	PUNCT
fcis-6020	40	3	.	.	PUNCT
fcis-6020	41	1	for	for	ADP
fcis-6020	41	2	taking	take	VERB
fcis-6020	41	3	into	into	ADP
fcis-6020	41	4	account	account	NOUN
fcis-6020	41	5	the	the	DET
fcis-6020	41	6	impact	impact	NOUN
fcis-6020	41	7	of	of	ADP
fcis-6020	41	8	ambient	ambient	ADJ
fcis-6020	41	9	temperature	temperature	NOUN
fcis-6020	41	10	and	and	CCONJ
fcis-6020	41	11	humidity	humidity	NOUN
fcis-6020	41	12	on	on	ADP
fcis-6020	41	13	the	the	DET
fcis-6020	41	14	test	test	NOUN
fcis-6020	41	15	,	,	PUNCT
fcis-6020	41	16	assuming	assume	VERB
fcis-6020	41	17	that	that	SCONJ
fcis-6020	41	18	the	the	DET
fcis-6020	41	19	sampling	sample	VERB
fcis-6020	41	20	process	process	NOUN
fcis-6020	41	21	are	be	AUX
fcis-6020	41	22	in	in	ADP
fcis-6020	41	23	the	the	DET
fcis-6020	41	24	same	same	ADJ
fcis-6020	41	25	environment	environment	NOUN
fcis-6020	41	26	and	and	CCONJ
fcis-6020	41	27	the	the	DET
fcis-6020	41	28	sampling	sampling	NOUN
fcis-6020	41	29	time	time	NOUN
fcis-6020	41	30	interval	interval	NOUN
fcis-6020	41	31	is	be	AUX
fcis-6020	41	32	short	short	ADJ
fcis-6020	41	33	.	.	PUNCT
fcis-6020	41	34	31	31	NUM
fcis-6020	41	35	2.2	2.2	NUM
fcis-6020	41	36	.	.	PUNCT
fcis-6020	42	1	variable	variable	ADJ
fcis-6020	42	2	description	description	NOUN
fcis-6020	42	3	table	table	NOUN
fcis-6020	42	4	1	1	NUM
fcis-6020	42	5	.	.	PUNCT
fcis-6020	42	6	symbol	symbol	NOUN
fcis-6020	42	7	specification	specification	NOUN
fcis-6020	42	8	table	table	NOUN
fcis-6020	42	9	symbols	symbol	NOUN
fcis-6020	42	10	description	description	VERB
fcis-6020	42	11	the	the	DET
fcis-6020	42	12	specific	specific	ADJ
fcis-6020	42	13	value	value	NOUN
fcis-6020	42	14	of	of	ADP
fcis-6020	42	15	the	the	DET
fcis-6020	42	16	sample	sample	NOUN
fcis-6020	42	17	of	of	ADP
fcis-6020	42	18	corresponding	correspond	VERB
fcis-6020	42	19	to	to	ADP
fcis-6020	42	20	the	the	DET
fcis-6020	42	21	indicator	indicator	NOUN
fcis-6020	42	22	of	of	ADP
fcis-6020	42	23	the	the	DET
fcis-6020	42	24	parent	parent	NOUN
fcis-6020	42	25	series	series	NOUN
fcis-6020	42	26	subseries	subserie	NOUN
fcis-6020	42	27	i.e.	i.e.	X
fcis-6020	42	28	interpolation	interpolation	NOUN
fcis-6020	42	29	rate	rate	NOUN
fcis-6020	42	30	at	at	ADP
fcis-6020	42	31	the	the	DET
fcis-6020	42	32	th	th	NUM
fcis-6020	42	33	sample	sample	NOUN
fcis-6020	42	34	coefficient	coefficient	NOUN
fcis-6020	42	35	of	of	ADP
fcis-6020	42	36	influence	influence	NOUN
fcis-6020	42	37	of	of	ADP
fcis-6020	42	38	the	the	DET
fcis-6020	42	39	variable	variable	NOUN
fcis-6020	42	40	on	on	ADP
fcis-6020	42	41	the	the	DET
fcis-6020	42	42	classification	classification	NOUN
fcis-6020	42	43	the	the	DET
fcis-6020	42	44	variable	variable	ADJ
fcis-6020	42	45	denotes	denote	VERB
fcis-6020	42	46	the	the	DET
fcis-6020	42	47	probability	probability	NOUN
fcis-6020	42	48	that	that	SCONJ
fcis-6020	42	49	the	the	DET
fcis-6020	42	50	th	th	X
fcis-6020	42	51	variable	variable	NOUN
fcis-6020	42	52	is	be	AUX
fcis-6020	42	53	classified	classify	VERB
fcis-6020	42	54	as	as	ADP
fcis-6020	42	55	a	a	DET
fcis-6020	42	56	barium	barium	NOUN
fcis-6020	42	57	lead	lead	NOUN
fcis-6020	42	58	variable	variable	NOUN
fcis-6020	42	59	normalized	normalize	VERB
fcis-6020	42	60	value	value	NOUN
fcis-6020	42	61	of	of	ADP
fcis-6020	42	62	a	a	DET
fcis-6020	42	63	chemical	chemical	NOUN
fcis-6020	42	64	component	component	NOUN
fcis-6020	42	65	in	in	ADP
fcis-6020	42	66	the	the	DET
fcis-6020	42	67	i	i	PROPN
fcis-6020	42	68	-	-	PUNCT
fcis-6020	42	69	th	th	X
fcis-6020	42	70	data	datum	NOUN
fcis-6020	42	71	set	set	NOUN
fcis-6020	42	72	cluster	cluster	NOUN
fcis-6020	42	73	i	i	PRON
fcis-6020	42	74	the	the	DET
fcis-6020	42	75	sample	sample	NOUN
fcis-6020	42	76	points	point	NOUN
fcis-6020	42	77	in	in	ADP
fcis-6020	42	78	the	the	DET
fcis-6020	42	79	sample	sample	NOUN
fcis-6020	42	80	means	mean	VERB
fcis-6020	42	81	distance	distance	NOUN
fcis-6020	42	82	of	of	ADP
fcis-6020	42	83	the	the	DET
fcis-6020	42	84	point	point	NOUN
fcis-6020	42	85	to	to	ADP
fcis-6020	42	86	all	all	DET
fcis-6020	42	87	other	other	ADJ
fcis-6020	42	88	points	point	NOUN
fcis-6020	42	89	in	in	ADP
fcis-6020	42	90	the	the	DET
fcis-6020	42	91	cluster	cluster	NOUN
fcis-6020	42	92	it	it	PRON
fcis-6020	42	93	belongs	belong	VERB
fcis-6020	42	94	to	to	ADP
fcis-6020	42	95	the	the	DET
fcis-6020	42	96	average	average	ADJ
fcis-6020	42	97	distance	distance	NOUN
fcis-6020	42	98	from	from	ADP
fcis-6020	42	99	a	a	DET
fcis-6020	42	100	point	point	NOUN
fcis-6020	42	101	to	to	ADP
fcis-6020	42	102	all	all	DET
fcis-6020	42	103	points	point	NOUN
fcis-6020	42	104	in	in	ADP
fcis-6020	42	105	a	a	DET
fcis-6020	42	106	cluster	cluster	NOUN
fcis-6020	42	107	that	that	PRON
fcis-6020	42	108	does	do	AUX
fcis-6020	42	109	not	not	PART
fcis-6020	42	110	contain	contain	VERB
fcis-6020	42	111	it	it	PRON
fcis-6020	42	112	contour	contour	ADJ
fcis-6020	42	113	coefficient	coefficient	NOUN
fcis-6020	42	114	of	of	ADP
fcis-6020	42	115	the	the	DET
fcis-6020	42	116	point	point	NOUN
fcis-6020	42	117	the	the	DET
fcis-6020	42	118	rank	rank	NOUN
fcis-6020	42	119	difference	difference	NOUN
fcis-6020	42	120	,	,	PUNCT
fcis-6020	42	121	i.e.	i.e.	X
fcis-6020	42	122	the	the	DET
fcis-6020	42	123	position	position	NOUN
fcis-6020	42	124	of	of	ADP
fcis-6020	42	125	the	the	DET
fcis-6020	42	126	number	number	NOUN
fcis-6020	42	127	after	after	ADP
fcis-6020	42	128	sorting	sort	VERB
fcis-6020	42	129	two	two	NUM
fcis-6020	42	130	sets	set	NOUN
fcis-6020	42	131	of	of	ADP
fcis-6020	42	132	data	datum	NOUN
fcis-6020	42	133	from	from	ADP
fcis-6020	42	134	smallest	small	ADJ
fcis-6020	42	135	to	to	AUX
fcis-6020	42	136	largest	large	ADJ
fcis-6020	42	137	3	3	NUM
fcis-6020	42	138	.	.	PUNCT
fcis-6020	42	139	problem	problem	NOUN
fcis-6020	42	140	1	1	NUM
fcis-6020	42	141	the	the	DET
fcis-6020	42	142	process	process	NOUN
fcis-6020	42	143	of	of	ADP
fcis-6020	42	144	modeling	modeling	NOUN
fcis-6020	42	145	and	and	CCONJ
fcis-6020	42	146	solving	solve	VERB
fcis-6020	42	147	problem	problem	NOUN
fcis-6020	42	148	1	1	NUM
fcis-6020	42	149	is	be	AUX
fcis-6020	42	150	shown	show	VERB
fcis-6020	42	151	in	in	ADP
fcis-6020	42	152	figure	figure	NOUN
fcis-6020	42	153	1	1	NUM
fcis-6020	42	154	:	:	PUNCT
fcis-6020	42	155	figure	figure	NOUN
fcis-6020	42	156	1	1	NUM
fcis-6020	42	157	.	.	PUNCT
fcis-6020	43	1	problem	problem	NOUN
fcis-6020	43	2	1	1	NUM
fcis-6020	43	3	solution	solution	NOUN
fcis-6020	43	4	process	process	NOUN
fcis-6020	43	5	3.1	3.1	NUM
fcis-6020	43	6	.	.	PUNCT
fcis-6020	43	7	task	task	NOUN
fcis-6020	43	8	1	1	NUM
fcis-6020	43	9	:	:	PUNCT
fcis-6020	43	10	analysis	analysis	NOUN
fcis-6020	43	11	of	of	ADP
fcis-6020	43	12	relationship	relationship	NOUN
fcis-6020	43	13	3.1.1	3.1.1	NUM
fcis-6020	43	14	.	.	PUNCT
fcis-6020	44	1	data	datum	NOUN
fcis-6020	44	2	pre	pre	VERB
fcis-6020	44	3	-	-	VERB
fcis-6020	44	4	processing	process	VERB
fcis-6020	44	5	the	the	DET
fcis-6020	44	6	flow	flow	NOUN
fcis-6020	44	7	chart	chart	NOUN
fcis-6020	44	8	for	for	ADP
fcis-6020	44	9	data	datum	NOUN
fcis-6020	44	10	pre	pre	ADJ
fcis-6020	44	11	-	-	ADJ
fcis-6020	44	12	processing	processing	NOUN
fcis-6020	44	13	is	be	AUX
fcis-6020	44	14	as	as	SCONJ
fcis-6020	44	15	follows	follow	VERB
fcis-6020	44	16	:	:	PUNCT
fcis-6020	44	17	figure	figure	NOUN
fcis-6020	44	18	2	2	NUM
fcis-6020	44	19	.	.	PUNCT
fcis-6020	44	20	basic	basic	ADJ
fcis-6020	44	21	data	datum	NOUN
fcis-6020	44	22	pre	pre	ADJ
fcis-6020	44	23	-	-	ADJ
fcis-6020	44	24	processing	processing	ADJ
fcis-6020	44	25	process	process	NOUN
fcis-6020	44	26	for	for	ADP
fcis-6020	44	27	the	the	DET
fcis-6020	44	28	codified	codify	VERB
fcis-6020	44	29	data	datum	NOUN
fcis-6020	44	30	,	,	PUNCT
fcis-6020	44	31	this	this	DET
fcis-6020	44	32	paper	paper	NOUN
fcis-6020	44	33	quantifies	quantify	VERB
fcis-6020	44	34	them	they	PRON
fcis-6020	44	35	according	accord	VERB
fcis-6020	44	36	to	to	ADP
fcis-6020	44	37	the	the	DET
fcis-6020	44	38	coding	code	VERB
fcis-6020	44	39	serial	serial	ADJ
fcis-6020	44	40	number	number	NOUN
fcis-6020	44	41	,	,	PUNCT
fcis-6020	44	42	and	and	CCONJ
fcis-6020	44	43	for	for	ADP
fcis-6020	44	44	the	the	DET
fcis-6020	44	45	more	more	ADV
fcis-6020	44	46	important	important	ADJ
fcis-6020	44	47	codes	code	NOUN
fcis-6020	44	48	,	,	PUNCT
fcis-6020	44	49	i.e.	i.e.	X
fcis-6020	44	50	,	,	PUNCT
fcis-6020	44	51	the	the	DET
fcis-6020	44	52	text	text	NOUN
fcis-6020	44	53	coding	code	VERB
fcis-6020	44	54	part	part	NOUN
fcis-6020	44	55	,	,	PUNCT
fcis-6020	44	56	this	this	DET
fcis-6020	44	57	paper	paper	NOUN
fcis-6020	44	58	chooses	choose	VERB
fcis-6020	44	59	to	to	PART
fcis-6020	44	60	encode	encode	VERB
fcis-6020	44	61	them	they	PRON
fcis-6020	44	62	manually	manually	ADV
fcis-6020	44	63	,	,	PUNCT
fcis-6020	44	64	for	for	ADP
fcis-6020	44	65	example	example	NOUN
fcis-6020	44	66	,	,	PUNCT
fcis-6020	44	67	for	for	ADP
fcis-6020	44	68	the	the	DET
fcis-6020	44	69	severity	severity	NOUN
fcis-6020	44	70	of	of	ADP
fcis-6020	44	71	ad	ad	NOUN
fcis-6020	44	72	,	,	PUNCT
fcis-6020	44	73	named	name	VERB
fcis-6020	44	74	as	as	ADP
fcis-6020	44	75	follows	follow	VERB
fcis-6020	44	76	.	.	PUNCT
fcis-6020	45	1	figure	figure	VERB
fcis-6020	45	2	3	3	NUM
fcis-6020	45	3	.	.	PUNCT
fcis-6020	45	4	quantitative	quantitative	ADJ
fcis-6020	45	5	processing	processing	NOUN
fcis-6020	45	6	3.1.2	3.1.2	PROPN
fcis-6020	45	7	.	.	PUNCT
fcis-6020	45	8	model	model	NOUN
fcis-6020	45	9	buiding	buiding	NOUN
fcis-6020	45	10	and	and	CCONJ
fcis-6020	45	11	solving	solving	NOUN
fcis-6020	45	12	after	after	ADP
fcis-6020	45	13	the	the	DET
fcis-6020	45	14	selection	selection	NOUN
fcis-6020	45	15	of	of	ADP
fcis-6020	45	16	indicators	indicator	NOUN
fcis-6020	45	17	,	,	PUNCT
fcis-6020	45	18	in	in	ADP
fcis-6020	45	19	order	order	NOUN
fcis-6020	45	20	to	to	PART
fcis-6020	45	21	further	far	ADV
fcis-6020	45	22	determine	determine	VERB
fcis-6020	45	23	the	the	DET
fcis-6020	45	24	reasonableness	reasonableness	NOUN
fcis-6020	45	25	of	of	ADP
fcis-6020	45	26	the	the	DET
fcis-6020	45	27	selection	selection	NOUN
fcis-6020	45	28	of	of	ADP
fcis-6020	45	29	indicators	indicator	NOUN
fcis-6020	45	30	.	.	PUNCT
fcis-6020	46	1	in	in	ADP
fcis-6020	46	2	this	this	DET
fcis-6020	46	3	paper	paper	NOUN
fcis-6020	46	4	,	,	PUNCT
fcis-6020	46	5	anova	anova	PROPN
fcis-6020	46	6	will	will	AUX
fcis-6020	46	7	be	be	AUX
fcis-6020	46	8	used	use	VERB
fcis-6020	46	9	to	to	PART
fcis-6020	46	10	determine	determine	VERB
fcis-6020	46	11	whether	whether	SCONJ
fcis-6020	46	12	there	there	PRON
fcis-6020	46	13	is	be	VERB
fcis-6020	46	14	a	a	DET
fcis-6020	46	15	significant	significant	ADJ
fcis-6020	46	16	difference	difference	NOUN
fcis-6020	46	17	in	in	ADP
fcis-6020	46	18	the	the	DET
fcis-6020	46	19	change	change	NOUN
fcis-6020	46	20	of	of	ADP
fcis-6020	46	21	each	each	DET
fcis-6020	46	22	statistic	statistic	NOUN
fcis-6020	46	23	over	over	ADP
fcis-6020	46	24	time	time	NOUN
fcis-6020	46	25	.	.	PUNCT
fcis-6020	47	1	first	first	ADV
fcis-6020	47	2	,	,	PUNCT
fcis-6020	47	3	anova	anova	PROPN
fcis-6020	47	4	is	be	AUX
fcis-6020	47	5	introduced	introduce	VERB
fcis-6020	47	6	in	in	ADP
fcis-6020	47	7	this	this	DET
fcis-6020	47	8	paper	paper	NOUN
fcis-6020	47	9	as	as	SCONJ
fcis-6020	47	10	follows	follow	VERB
fcis-6020	47	11	.	.	PUNCT
fcis-6020	48	1	the	the	DET
fcis-6020	48	2	statistical	statistical	ADJ
fcis-6020	48	3	inference	inference	NOUN
fcis-6020	48	4	method	method	NOUN
fcis-6020	48	5	used	use	VERB
fcis-6020	48	6	in	in	ADP
fcis-6020	48	7	the	the	DET
fcis-6020	48	8	one	one	NUM
fcis-6020	48	9	-	-	PUNCT
fcis-6020	48	10	way	way	NOUN
fcis-6020	48	11	anova	anova	PROPN
fcis-6020	48	12	is	be	AUX
fcis-6020	48	13	to	to	PART
fcis-6020	48	14	calculate	calculate	VERB
fcis-6020	48	15	the	the	DET
fcis-6020	48	16	f	f	PROPN
fcis-6020	48	17	statistic	statistic	NOUN
fcis-6020	48	18	and	and	CCONJ
fcis-6020	48	19	perform	perform	VERB
fcis-6020	48	20	the	the	DET
fcis-6020	48	21	f	f	PROPN
fcis-6020	48	22	test	test	NOUN
fcis-6020	48	23	.	.	PUNCT
fcis-6020	49	1	the	the	DET
fcis-6020	49	2	total	total	ADJ
fcis-6020	49	3	sum	sum	NOUN
fcis-6020	49	4	of	of	ADP
fcis-6020	49	5	squares	square	NOUN
fcis-6020	49	6	of	of	ADP
fcis-6020	49	7	variance	variance	NOUN
fcis-6020	49	8	,	,	PUNCT
fcis-6020	49	9	denoted	denote	VERB
fcis-6020	49	10	as	as	ADP
fcis-6020	49	11	sst	sst	NOUN
fcis-6020	49	12	,	,	PUNCT
fcis-6020	49	13	is	be	AUX
fcis-6020	49	14	decomposed	decompose	VERB
fcis-6020	49	15	into	into	ADP
fcis-6020	49	16	two	two	NUM
fcis-6020	49	17	parts	part	NOUN
fcis-6020	49	18	:	:	PUNCT
fcis-6020	49	19	one	one	NUM
fcis-6020	49	20	part	part	NOUN
fcis-6020	49	21	is	be	AUX
fcis-6020	49	22	the	the	DET
fcis-6020	49	23	variance	variance	NOUN
fcis-6020	49	24	caused	cause	VERB
fcis-6020	49	25	by	by	ADP
fcis-6020	49	26	the	the	DET
fcis-6020	49	27	control	control	NOUN
fcis-6020	49	28	variables	variable	NOUN
fcis-6020	49	29	,	,	PUNCT
fcis-6020	49	30	denoted	denote	VERB
fcis-6020	49	31	as	as	ADP
fcis-6020	49	32	ssa	ssa	NOUN
fcis-6020	49	33	(	(	PUNCT
fcis-6020	49	34	sum	sum	NOUN
fcis-6020	49	35	of	of	ADP
fcis-6020	49	36	squares	square	NOUN
fcis-6020	49	37	of	of	ADP
fcis-6020	49	38	variance	variance	NOUN
fcis-6020	49	39	between	between	ADP
fcis-6020	49	40	groups	group	NOUN
fcis-6020	49	41	)	)	PUNCT
fcis-6020	49	42	;	;	PUNCT
fcis-6020	49	43	the	the	DET
fcis-6020	49	44	other	other	ADJ
fcis-6020	49	45	part	part	NOUN
fcis-6020	49	46	is	be	AUX
fcis-6020	49	47	the	the	DET
fcis-6020	49	48	sse	sse	NOUN
fcis-6020	49	49	(	(	PUNCT
fcis-6020	49	50	sum	sum	NOUN
fcis-6020	49	51	of	of	ADP
fcis-6020	49	52	squares	square	NOUN
fcis-6020	49	53	of	of	ADP
fcis-6020	49	54	variance	variance	NOUN
fcis-6020	49	55	within	within	ADP
fcis-6020	49	56	groups	group	NOUN
fcis-6020	49	57	)	)	PUNCT
fcis-6020	49	58	caused	cause	VERB
fcis-6020	49	59	by	by	ADP
fcis-6020	49	60	the	the	DET
fcis-6020	49	61	random	random	ADJ
fcis-6020	49	62	variables	variable	NOUN
fcis-6020	49	63	.	.	PUNCT
fcis-6020	50	1	the	the	DET
fcis-6020	50	2	relationship	relationship	NOUN
fcis-6020	50	3	between	between	ADP
fcis-6020	50	4	the	the	DET
fcis-6020	50	5	two	two	NUM
fcis-6020	50	6	variables	variable	NOUN
fcis-6020	50	7	is	be	AUX
fcis-6020	50	8	shown	show	VERB
fcis-6020	50	9	below	below	ADP
fcis-6020	50	10	[	[	X
fcis-6020	50	11	2	2	NUM
fcis-6020	50	12	]	]	PUNCT
fcis-6020	50	13	.	.	PUNCT
fcis-6020	51	1	sst	sst	PROPN
fcis-6020	51	2	=	=	SYM
fcis-6020	51	3	ssa	ssa	PROPN
fcis-6020	51	4	+	+	CCONJ
fcis-6020	51	5	ss	ss	PROPN
fcis-6020	51	6	in	in	ADP
fcis-6020	51	7	general	general	ADJ
fcis-6020	51	8	,	,	PUNCT
fcis-6020	51	9	assume	assume	VERB
fcis-6020	51	10	that	that	SCONJ
fcis-6020	51	11	there	there	PRON
fcis-6020	51	12	are	be	VERB
fcis-6020	51	13	k	k	PROPN
fcis-6020	51	14	levels	level	NOUN
fcis-6020	51	15	and	and	CCONJ
fcis-6020	51	16	establish	establish	VERB
fcis-6020	51	17	the	the	DET
fcis-6020	51	18	following	follow	VERB
fcis-6020	51	19	assumptions	assumption	NOUN
fcis-6020	51	20	.	.	PUNCT
fcis-6020	52	1	h0	h0	NOUN
fcis-6020	52	2	:	:	PUNCT
fcis-6020	52	3	u1	u1	NOUN
fcis-6020	52	4	=	=	PUNCT
fcis-6020	52	5	u2=.	u2=.	ADJ
fcis-6020	52	6	.	.	PUNCT
fcis-6020	52	7	.	.	PUNCT
fcis-6020	53	1	uk	uk	PROPN
fcis-6020	53	2	ch1	ch1	PROPN
fcis-6020	53	3	:	:	PUNCT
fcis-6020	53	4	u1	u1	PROPN
fcis-6020	53	5	,	,	PUNCT
fcis-6020	53	6	u2	u2	NOUN
fcis-6020	53	7	,	,	PUNCT
fcis-6020	53	8	.	.	PUNCT
fcis-6020	53	9	.	.	PUNCT
fcis-6020	53	10	.	.	PUNCT
fcis-6020	54	1	,	,	PUNCT
fcis-6020	54	2	uk	uk	PROPN
fcis-6020	54	3	,	,	PUNCT
fcis-6020	54	4	not	not	PART
fcis-6020	54	5	all	all	PRON
fcis-6020	54	6	equal	equal	ADJ
fcis-6020	54	7	to	to	ADP
fcis-6020	54	8	each	each	DET
fcis-6020	54	9	other	other	ADJ
fcis-6020	54	10	the	the	DET
fcis-6020	54	11	error	error	NOUN
fcis-6020	54	12	within	within	ADP
fcis-6020	54	13	each	each	DET
fcis-6020	54	14	overall	overall	ADJ
fcis-6020	54	15	system	system	NOUN
fcis-6020	54	16	,	,	PUNCT
fcis-6020	54	17	mainly	mainly	ADV
fcis-6020	54	18	the	the	DET
fcis-6020	54	19	random	random	ADJ
fcis-6020	54	20	error	error	NOUN
fcis-6020	54	21	caused	cause	VERB
fcis-6020	54	22	by	by	ADP
fcis-6020	54	23	random	random	ADJ
fcis-6020	54	24	sampling	sampling	NOUN
fcis-6020	54	25	,	,	PUNCT
fcis-6020	54	26	is	be	AUX
fcis-6020	54	27	called	call	VERB
fcis-6020	54	28	the	the	DET
fcis-6020	54	29	intra	intra	ADJ
fcis-6020	54	30	-	-	ADJ
fcis-6020	54	31	group	group	NOUN
fcis-6020	54	32	error	error	NOUN
fcis-6020	54	33	,	,	PUNCT
fcis-6020	54	34	and	and	CCONJ
fcis-6020	54	35	the	the	DET
fcis-6020	54	36	sum	sum	NOUN
fcis-6020	54	37	of	of	ADP
fcis-6020	54	38	squared	square	VERB
fcis-6020	54	39	intra	intra	ADJ
fcis-6020	54	40	-	-	ADJ
fcis-6020	54	41	group	group	ADJ
fcis-6020	54	42	errors	error	NOUN
fcis-6020	54	43	is	be	AUX
fcis-6020	54	44	denoted	denote	VERB
fcis-6020	54	45	as	as	ADP
fcis-6020	54	46	ssa	ssa	NOUN
fcis-6020	54	47	.	.	PUNCT
fcis-6020	55	1	ssa	ssa	PROPN
fcis-6020	55	2	=	=	PUNCT
fcis-6020	55	3	∑	∑	PUNCT
fcis-6020	55	4	ni(xi̅	ni(xi̅	PROPN
fcis-6020	55	5	−	−	PROPN
fcis-6020	56	1	x̅)2	x̅)2	NOUN
fcis-6020	57	1	k	k	PROPN
fcis-6020	57	2	i=1	i=1	VERB
fcis-6020	57	3	the	the	DET
fcis-6020	57	4	errors	error	NOUN
fcis-6020	57	5	between	between	ADP
fcis-6020	57	6	the	the	DET
fcis-6020	57	7	totals	total	NOUN
fcis-6020	57	8	,	,	PUNCT
fcis-6020	57	9	mainly	mainly	ADV
fcis-6020	57	10	random	random	ADJ
fcis-6020	57	11	errors	error	NOUN
fcis-6020	57	12	and	and	CCONJ
fcis-6020	57	13	systematic	systematic	ADJ
fcis-6020	57	14	errors	error	NOUN
fcis-6020	57	15	caused	cause	VERB
fcis-6020	57	16	by	by	ADP
fcis-6020	57	17	random	random	ADJ
fcis-6020	57	18	sampling	sampling	NOUN
fcis-6020	57	19	,	,	PUNCT
fcis-6020	57	20	are	be	AUX
fcis-6020	57	21	called	call	VERB
fcis-6020	57	22	inter	inter	ADJ
fcis-6020	57	23	-	-	ADJ
fcis-6020	57	24	group	group	ADJ
fcis-6020	57	25	errors	error	NOUN
fcis-6020	57	26	,	,	PUNCT
fcis-6020	57	27	and	and	CCONJ
fcis-6020	57	28	the	the	DET
fcis-6020	57	29	sum	sum	NOUN
fcis-6020	57	30	of	of	ADP
fcis-6020	57	31	squared	squared	ADJ
fcis-6020	57	32	inter	inter	ADJ
fcis-6020	57	33	-	-	ADJ
fcis-6020	57	34	group	group	ADJ
fcis-6020	57	35	errors	error	NOUN
fcis-6020	57	36	is	be	AUX
fcis-6020	57	37	sse	sse	NOUN
fcis-6020	57	38	.	.	PUNCT
fcis-6020	58	1	sse	sse	X
fcis-6020	59	1	=	=	PUNCT
fcis-6020	59	2	∑	∑	PUNCT
fcis-6020	59	3	∑(xij	∑(xij	PROPN
fcis-6020	59	4	−	−	PROPN
fcis-6020	59	5	xi̅	xi̅	PROPN
fcis-6020	59	6	)	)	PUNCT
fcis-6020	59	7	2	2	NUM
fcis-6020	59	8	ni	ni	PROPN
fcis-6020	59	9	k	k	PROPN
fcis-6020	59	10	k	k	PROPN
fcis-6020	59	11	i=1	i=1	PROPN
fcis-6020	60	1	the	the	DET
fcis-6020	60	2	total	total	ADJ
fcis-6020	60	3	sum	sum	NOUN
fcis-6020	60	4	of	of	ADP
fcis-6020	60	5	squared	square	VERB
fcis-6020	60	6	errors	error	NOUN
fcis-6020	60	7	of	of	ADP
fcis-6020	60	8	the	the	DET
fcis-6020	60	9	data	datum	NOUN
fcis-6020	60	10	is	be	AUX
fcis-6020	60	11	denoted	denote	VERB
fcis-6020	60	12	as	as	ADP
fcis-6020	60	13	sst	sst	PROPN
fcis-6020	60	14	.	.	PUNCT
fcis-6020	60	15	sst	sst	PROPN
fcis-6020	60	16	=	=	PRON
fcis-6020	60	17	∑	∑	PUNCT
fcis-6020	60	18	∑(xij	∑(xij	PROPN
fcis-6020	60	19	−	−	PROPN
fcis-6020	60	20	x̅)2	x̅)2	PROPN
fcis-6020	61	1	ni	ni	PROPN
fcis-6020	61	2	k	k	PROPN
fcis-6020	61	3	k	k	PROPN
fcis-6020	61	4	i=1	i=1	PROPN
fcis-6020	61	5	where	where	SCONJ
fcis-6020	61	6	denotes	denote	VERB
fcis-6020	61	7	the	the	DET
fcis-6020	61	8	jtℎ	jtℎ	PROPN
fcis-6020	61	9	observation	observation	NOUN
fcis-6020	61	10	at	at	ADP
fcis-6020	61	11	the	the	DET
fcis-6020	61	12	itℎ	itℎ	ADJ
fcis-6020	61	13	level	level	NOUN
fcis-6020	61	14	,	,	PUNCT
fcis-6020	61	15	denotes	denote	VERB
fcis-6020	61	16	the	the	DET
fcis-6020	61	17	mean	mean	ADJ
fcis-6020	61	18	value	value	NOUN
fcis-6020	61	19	at	at	ADP
fcis-6020	61	20	the	the	DET
fcis-6020	61	21	jtℎ	jtℎ	NOUN
fcis-6020	61	22	level	level	NOUN
fcis-6020	61	23	,	,	PUNCT
fcis-6020	61	24	and	and	CCONJ
fcis-6020	61	25	denotes	denote	VERB
fcis-6020	61	26	the	the	DET
fcis-6020	61	27	mean	mean	ADJ
fcis-6020	61	28	value	value	NOUN
fcis-6020	61	29	of	of	ADP
fcis-6020	61	30	the	the	DET
fcis-6020	61	31	n	n	PROPN
fcis-6020	61	32	observations	observation	NOUN
fcis-6020	61	33	.	.	PUNCT
fcis-6020	62	1	sst	sst	PROPN
fcis-6020	62	2	=	=	PRON
fcis-6020	62	3	∑	∑	PUNCT
fcis-6020	62	4	∑(xij	∑(xij	PROPN
fcis-6020	62	5	−	−	PROPN
fcis-6020	62	6	x̅)2	x̅)2	NOUN
fcis-6020	62	7	=	=	PROPN
fcis-6020	62	8	ssa	ssa	PROPN
fcis-6020	62	9	+	+	CCONJ
fcis-6020	62	10	sse	sse	PROPN
fcis-6020	62	11	ni	ni	PROPN
fcis-6020	63	1	k	k	PROPN
fcis-6020	63	2	k	k	PROPN
fcis-6020	63	3	i=1	i=1	PROPN
fcis-6020	64	1	the	the	DET
fcis-6020	64	2	above	above	ADJ
fcis-6020	64	3	calculation	calculation	NOUN
fcis-6020	64	4	shows	show	VERB
fcis-6020	64	5	that	that	SCONJ
fcis-6020	64	6	the	the	DET
fcis-6020	64	7	total	total	ADJ
fcis-6020	64	8	error	error	NOUN
fcis-6020	64	9	of	of	ADP
fcis-6020	64	10	the	the	DET
fcis-6020	64	11	data	datum	NOUN
fcis-6020	64	12	comes	come	VERB
fcis-6020	64	13	from	from	ADP
fcis-6020	64	14	two	two	NUM
fcis-6020	64	15	main	main	ADJ
fcis-6020	64	16	sources	source	NOUN
fcis-6020	64	17	:	:	PUNCT
fcis-6020	64	18	intra	intra	ADJ
fcis-6020	64	19	-	-	NOUN
fcis-6020	64	20	group	group	NOUN
fcis-6020	64	21	error	error	NOUN
fcis-6020	64	22	on	on	ADP
fcis-6020	64	23	the	the	DET
fcis-6020	64	24	one	one	NUM
fcis-6020	64	25	hand	hand	NOUN
fcis-6020	64	26	and	and	CCONJ
fcis-6020	64	27	inter	inter	ADJ
fcis-6020	64	28	-	-	NOUN
fcis-6020	64	29	group	group	NOUN
fcis-6020	64	30	error	error	NOUN
fcis-6020	64	31	on	on	ADP
fcis-6020	64	32	the	the	DET
fcis-6020	64	33	other	other	ADJ
fcis-6020	64	34	.	.	PUNCT
fcis-6020	65	1	it	it	PRON
fcis-6020	65	2	can	can	AUX
fcis-6020	65	3	be	be	AUX
fcis-6020	65	4	shown	show	VERB
fcis-6020	65	5	that	that	SCONJ
fcis-6020	65	6	when	when	SCONJ
fcis-6020	65	7	the	the	DET
fcis-6020	65	8	means	mean	NOUN
fcis-6020	65	9	of	of	ADP
fcis-6020	65	10	the	the	DET
fcis-6020	65	11	k	k	PROPN
fcis-6020	65	12	overall	overall	ADJ
fcis-6020	65	13	groups	group	NOUN
fcis-6020	65	14	are	be	AUX
fcis-6020	65	15	equal	equal	ADJ
fcis-6020	65	16	,	,	PUNCT
fcis-6020	65	17	ssa	ssa	PROPN
fcis-6020	65	18	k	k	PROPN
fcis-6020	65	19	−	−	PROPN
fcis-6020	65	20	1⁄	1⁄	NUM
fcis-6020	65	21	sse	sse	NOUN
fcis-6020	65	22	n	n	CCONJ
fcis-6020	65	23	−	−	PROPN
fcis-6020	65	24	k⁄⁄	k⁄⁄	NOUN
fcis-6020	65	25	obeys	obey	VERB
fcis-6020	65	26	the	the	DET
fcis-6020	65	27	f	f	PROPN
fcis-6020	65	28	distribution	distribution	NOUN
fcis-6020	65	29	with	with	ADP
fcis-6020	65	30	degrees	degree	NOUN
fcis-6020	65	31	of	of	ADP
fcis-6020	65	32	freedom	freedom	NOUN
fcis-6020	65	33	k-1	k-1	PROPN
fcis-6020	65	34	in	in	ADP
fcis-6020	65	35	the	the	DET
fcis-6020	65	36	numerator	numerator	NOUN
fcis-6020	65	37	and	and	CCONJ
fcis-6020	65	38	n	n	CCONJ
fcis-6020	65	39	k	k	PROPN
fcis-6020	65	40	in	in	ADP
fcis-6020	65	41	the	the	DET
fcis-6020	65	42	denominator	denominator	NOUN
fcis-6020	65	43	.	.	PUNCT
fcis-6020	66	1	f	f	X
fcis-6020	66	2	=	=	SYM
fcis-6020	66	3	ssa	ssa	PROPN
fcis-6020	66	4	(	(	PUNCT
fcis-6020	66	5	n	n	CCONJ
fcis-6020	66	6	−	−	PROPN
fcis-6020	66	7	1)⁄	1)⁄	NUM
fcis-6020	66	8	sse	sse	NOUN
fcis-6020	66	9	(	(	PUNCT
fcis-6020	66	10	n	n	CCONJ
fcis-6020	66	11	−	−	PROPN
fcis-6020	66	12	k)⁄	k)⁄	PROPN
fcis-6020	66	13	≤	≤	NOUN
fcis-6020	66	14	fα(k	fα(k	PUNCT
fcis-6020	66	15	−	−	PROPN
fcis-6020	66	16	1	1	NUM
fcis-6020	66	17	,	,	PUNCT
fcis-6020	66	18	n	n	CCONJ
fcis-6020	66	19	−	−	PROPN
fcis-6020	66	20	k	k	NOUN
fcis-6020	66	21	)	)	PUNCT
fcis-6020	66	22	32	32	NUM
fcis-6020	67	1	each	each	DET
fcis-6020	67	2	f	f	PROPN
fcis-6020	67	3	value	value	NOUN
fcis-6020	67	4	will	will	AUX
fcis-6020	67	5	correspond	correspond	VERB
fcis-6020	67	6	to	to	ADP
fcis-6020	67	7	a	a	DET
fcis-6020	67	8	p	p	NOUN
fcis-6020	67	9	value	value	NOUN
fcis-6020	67	10	,	,	PUNCT
fcis-6020	67	11	and	and	CCONJ
fcis-6020	67	12	the	the	PRON
fcis-6020	67	13	larger	large	ADJ
fcis-6020	67	14	the	the	DET
fcis-6020	67	15	f	f	PROPN
fcis-6020	67	16	value	value	NOUN
fcis-6020	67	17	and	and	CCONJ
fcis-6020	67	18	the	the	DET
fcis-6020	67	19	smaller	small	ADJ
fcis-6020	67	20	the	the	DET
fcis-6020	67	21	p	p	NOUN
fcis-6020	67	22	value	value	NOUN
fcis-6020	67	23	,	,	PUNCT
fcis-6020	67	24	the	the	PRON
fcis-6020	67	25	less	less	ADV
fcis-6020	67	26	likely	likely	ADJ
fcis-6020	67	27	it	it	PRON
fcis-6020	67	28	is	be	AUX
fcis-6020	67	29	to	to	PART
fcis-6020	67	30	accept	accept	VERB
fcis-6020	67	31	the	the	DET
fcis-6020	67	32	original	original	ADJ
fcis-6020	67	33	assumption	assumption	NOUN
fcis-6020	67	34	,	,	PUNCT
fcis-6020	67	35	which	which	PRON
fcis-6020	67	36	is	be	AUX
fcis-6020	67	37	considered	consider	VERB
fcis-6020	67	38	to	to	PART
fcis-6020	67	39	be	be	AUX
fcis-6020	67	40	a	a	DET
fcis-6020	67	41	large	large	ADJ
fcis-6020	67	42	difference	difference	NOUN
fcis-6020	67	43	in	in	ADP
fcis-6020	67	44	characteristics	characteristic	NOUN
fcis-6020	67	45	between	between	ADP
fcis-6020	67	46	groups	group	NOUN
fcis-6020	67	47	.	.	PUNCT
fcis-6020	68	1	therefore	therefore	ADV
fcis-6020	68	2	,	,	PUNCT
fcis-6020	68	3	the	the	PRON
fcis-6020	68	4	smaller	small	ADJ
fcis-6020	68	5	the	the	DET
fcis-6020	68	6	p	p	NOUN
fcis-6020	68	7	-	-	PUNCT
fcis-6020	68	8	value	value	NOUN
fcis-6020	68	9	,	,	PUNCT
fcis-6020	68	10	the	the	PRON
fcis-6020	68	11	more	more	ADV
fcis-6020	68	12	this	this	DET
fcis-6020	68	13	feature	feature	NOUN
fcis-6020	68	14	should	should	AUX
fcis-6020	68	15	be	be	AUX
fcis-6020	68	16	preserved	preserve	VERB
fcis-6020	68	17	.	.	PUNCT
fcis-6020	69	1	figure	figure	NOUN
fcis-6020	69	2	4	4	NUM
fcis-6020	69	3	.	.	PUNCT
fcis-6020	70	1	analysis	analysis	NOUN
fcis-6020	70	2	of	of	ADP
fcis-6020	70	3	variance	variance	NOUN
fcis-6020	70	4	histogram	histogram	PROPN
fcis-6020	70	5	pearson	pearson	PROPN
fcis-6020	70	6	correlation	correlation	NOUN
fcis-6020	70	7	analysis	analysis	NOUN
fcis-6020	70	8	is	be	AUX
fcis-6020	70	9	a	a	DET
fcis-6020	70	10	method	method	NOUN
fcis-6020	70	11	used	use	VERB
fcis-6020	70	12	to	to	PART
fcis-6020	70	13	study	study	VERB
fcis-6020	70	14	the	the	DET
fcis-6020	70	15	closeness	closeness	NOUN
fcis-6020	70	16	of	of	ADP
fcis-6020	70	17	association	association	NOUN
fcis-6020	70	18	between	between	ADP
fcis-6020	70	19	two	two	NUM
fcis-6020	70	20	or	or	CCONJ
fcis-6020	70	21	more	more	ADJ
fcis-6020	70	22	variables	variable	NOUN
fcis-6020	70	23	.	.	PUNCT
fcis-6020	71	1	in	in	ADP
fcis-6020	71	2	order	order	NOUN
fcis-6020	71	3	to	to	PART
fcis-6020	71	4	explore	explore	VERB
fcis-6020	71	5	which	which	DET
fcis-6020	71	6	factors	factor	NOUN
fcis-6020	71	7	are	be	AUX
fcis-6020	71	8	associated	associate	VERB
fcis-6020	71	9	with	with	ADP
fcis-6020	71	10	the	the	DET
fcis-6020	71	11	cause	cause	NOUN
fcis-6020	71	12	of	of	ADP
fcis-6020	71	13	alzheimer	alzheimer	PROPN
fcis-6020	71	14	's	's	PART
fcis-6020	71	15	disease	disease	NOUN
fcis-6020	71	16	,	,	PUNCT
fcis-6020	71	17	so	so	CCONJ
fcis-6020	71	18	the	the	DET
fcis-6020	71	19	correlation	correlation	NOUN
fcis-6020	71	20	analysis	analysis	NOUN
fcis-6020	71	21	algorithm	algorithm	NOUN
fcis-6020	71	22	is	be	AUX
fcis-6020	71	23	used	use	VERB
fcis-6020	71	24	,	,	PUNCT
fcis-6020	71	25	and	and	CCONJ
fcis-6020	71	26	the	the	DET
fcis-6020	71	27	pearson	pearson	PROPN
fcis-6020	71	28	correlation	correlation	NOUN
fcis-6020	71	29	value	value	NOUN
fcis-6020	71	30	can	can	AUX
fcis-6020	71	31	be	be	AUX
fcis-6020	71	32	a	a	DET
fcis-6020	71	33	good	good	ADJ
fcis-6020	71	34	representation	representation	NOUN
fcis-6020	71	35	of	of	ADP
fcis-6020	71	36	the	the	DET
fcis-6020	71	37	correlation	correlation	NOUN
fcis-6020	71	38	between	between	ADP
fcis-6020	71	39	two	two	NUM
fcis-6020	71	40	variables	variable	NOUN
fcis-6020	71	41	.	.	PUNCT
fcis-6020	72	1	some	some	PRON
fcis-6020	72	2	of	of	ADP
fcis-6020	72	3	the	the	DET
fcis-6020	72	4	indicators	indicator	NOUN
fcis-6020	72	5	in	in	ADP
fcis-6020	72	6	the	the	DET
fcis-6020	72	7	experiment	experiment	NOUN
fcis-6020	72	8	have	have	VERB
fcis-6020	72	9	an	an	DET
fcis-6020	72	10	interaction	interaction	NOUN
fcis-6020	72	11	relationship	relationship	NOUN
fcis-6020	72	12	,	,	PUNCT
fcis-6020	72	13	and	and	CCONJ
fcis-6020	72	14	the	the	DET
fcis-6020	72	15	pearson	pearson	PROPN
fcis-6020	72	16	correlation	correlation	NOUN
fcis-6020	72	17	value	value	NOUN
fcis-6020	72	18	is	be	AUX
fcis-6020	72	19	chosen	choose	VERB
fcis-6020	72	20	to	to	PART
fcis-6020	72	21	calculate	calculate	VERB
fcis-6020	72	22	the	the	DET
fcis-6020	72	23	degree	degree	NOUN
fcis-6020	72	24	of	of	ADP
fcis-6020	72	25	correlation	correlation	NOUN
fcis-6020	72	26	between	between	ADP
fcis-6020	72	27	different	different	ADJ
fcis-6020	72	28	human	human	ADJ
fcis-6020	72	29	physical	physical	ADJ
fcis-6020	72	30	characteristics	characteristic	NOUN
fcis-6020	72	31	affecting	affect	VERB
fcis-6020	72	32	alzheimer	alzheimer	PROPN
fcis-6020	72	33	's	's	PART
fcis-6020	72	34	disease	disease	NOUN
fcis-6020	72	35	,	,	PUNCT
fcis-6020	72	36	and	and	CCONJ
fcis-6020	72	37	the	the	DET
fcis-6020	72	38	pearson	pearson	NOUN
fcis-6020	72	39	correlation	correlation	NOUN
fcis-6020	72	40	value	value	NOUN
fcis-6020	72	41	expression	expression	NOUN
fcis-6020	72	42	is	be	AUX
fcis-6020	72	43	shown	show	VERB
fcis-6020	72	44	below	below	ADP
fcis-6020	72	45	[	[	X
fcis-6020	72	46	3	3	NUM
fcis-6020	72	47	]	]	PUNCT
fcis-6020	72	48	.	.	PUNCT
fcis-6020	73	1	f(x	f(x	PROPN
fcis-6020	73	2	,	,	PUNCT
fcis-6020	73	3	y	y	NOUN
fcis-6020	73	4	)	)	PUNCT
fcis-6020	73	5	=	=	PUNCT
fcis-6020	73	6	∑	∑	PROPN
fcis-6020	73	7	(	(	PUNCT
fcis-6020	73	8	xa	xa	PROPN
fcis-6020	73	9	−	−	PROPN
fcis-6020	73	10	x̅)(ya	x̅)(ya	PROPN
fcis-6020	73	11	−	−	PROPN
fcis-6020	73	12	y̅)t	y̅)t	X
fcis-6020	73	13	a=1	a=1	PROPN
fcis-6020	73	14	√∑	√∑	PUNCT
fcis-6020	73	15	(	(	PUNCT
fcis-6020	73	16	xa	xa	PROPN
fcis-6020	73	17	−	−	PROPN
fcis-6020	73	18	x̅)2	x̅)2	PROPN
fcis-6020	73	19	t	t	PROPN
fcis-6020	73	20	a=1	a=1	PUNCT
fcis-6020	73	21	√∑	√∑	PUNCT
fcis-6020	73	22	(	(	PUNCT
fcis-6020	73	23	ya	ya	PROPN
fcis-6020	73	24	−	−	PROPN
fcis-6020	73	25	y̅)2	y̅)2	PROPN
fcis-6020	73	26	t	t	PROPN
fcis-6020	73	27	a=1	a=1	PUNCT
fcis-6020	73	28	in	in	ADP
fcis-6020	73	29	the	the	DET
fcis-6020	73	30	equation	equation	NOUN
fcis-6020	73	31	,	,	PUNCT
fcis-6020	73	32	f(x	f(x	PROPN
fcis-6020	73	33	,	,	PUNCT
fcis-6020	73	34	y)represents	y)represent	VERB
fcis-6020	73	35	the	the	DET
fcis-6020	73	36	similarity	similarity	NOUN
fcis-6020	73	37	between	between	ADP
fcis-6020	73	38	the	the	DET
fcis-6020	73	39	two	two	NUM
fcis-6020	73	40	variables	variable	NOUN
fcis-6020	73	41	x	x	PUNCT
fcis-6020	73	42	and	and	CCONJ
fcis-6020	73	43	y	y	PROPN
fcis-6020	73	44	,	,	PUNCT
fcis-6020	73	45	a	a	PRON
fcis-6020	73	46	represents	represent	VERB
fcis-6020	73	47	the	the	DET
fcis-6020	73	48	atℎ	atℎ	PROPN
fcis-6020	73	49	sample	sample	NOUN
fcis-6020	73	50	of	of	ADP
fcis-6020	73	51	a	a	DET
fcis-6020	73	52	certain	certain	ADJ
fcis-6020	73	53	indicator	indicator	NOUN
fcis-6020	73	54	,	,	PUNCT
fcis-6020	73	55	t	t	PROPN
fcis-6020	73	56	is	be	AUX
fcis-6020	73	57	the	the	DET
fcis-6020	73	58	total	total	ADJ
fcis-6020	73	59	number	number	NOUN
fcis-6020	73	60	of	of	ADP
fcis-6020	73	61	samples	sample	NOUN
fcis-6020	73	62	,	,	PUNCT
fcis-6020	73	63	and	and	CCONJ
fcis-6020	73	64	x̅	x̅	PROPN
fcis-6020	73	65	and	and	CCONJ
fcis-6020	73	66	y̅	y̅	PROPN
fcis-6020	73	67	represent	represent	VERB
fcis-6020	73	68	the	the	DET
fcis-6020	73	69	values	value	NOUN
fcis-6020	73	70	of	of	ADP
fcis-6020	73	71	two	two	NUM
fcis-6020	73	72	variables	variable	NOUN
fcis-6020	73	73	,	,	PUNCT
fcis-6020	73	74	x	x	PUNCT
fcis-6020	73	75	and	and	CCONJ
fcis-6020	73	76	y	y	PROPN
fcis-6020	73	77	,	,	PUNCT
fcis-6020	73	78	respectively	respectively	ADV
fcis-6020	73	79	.	.	PUNCT
fcis-6020	74	1	pearson	pearson	PROPN
fcis-6020	74	2	correlation	correlation	PROPN
fcis-6020	74	3	values	value	VERB
fcis-6020	74	4	f(x	f(x	PROPN
fcis-6020	74	5	,	,	PUNCT
fcis-6020	74	6	y	y	NOUN
fcis-6020	74	7	)	)	PUNCT
fcis-6020	74	8	always	always	ADV
fcis-6020	74	9	fall	fall	VERB
fcis-6020	74	10	between	between	ADP
fcis-6020	74	11	-1	-1	PUNCT
fcis-6020	74	12	and	and	CCONJ
fcis-6020	74	13	1	1	X
fcis-6020	74	14	.	.	PUNCT
fcis-6020	75	1	when	when	SCONJ
fcis-6020	75	2	0.8	0.8	NUM
fcis-6020	75	3	<	<	NOUN
fcis-6020	75	4	a<1	a<1	NOUN
fcis-6020	75	5	,	,	PUNCT
fcis-6020	75	6	the	the	DET
fcis-6020	75	7	two	two	NUM
fcis-6020	75	8	variables	variable	NOUN
fcis-6020	75	9	are	be	AUX
fcis-6020	75	10	extremely	extremely	ADV
fcis-6020	75	11	strongly	strongly	ADV
fcis-6020	75	12	correlated	correlate	VERB
fcis-6020	75	13	;	;	PUNCT
fcis-6020	75	14	when	when	SCONJ
fcis-6020	75	15	0.6	0.6	NUM
fcis-6020	75	16	<	<	X
fcis-6020	75	17	a<0.8	a<0.8	PROPN
fcis-6020	75	18	,	,	PUNCT
fcis-6020	75	19	the	the	DET
fcis-6020	75	20	two	two	NUM
fcis-6020	75	21	variables	variable	NOUN
fcis-6020	75	22	are	be	AUX
fcis-6020	75	23	strongly	strongly	ADV
fcis-6020	75	24	correlated	correlate	VERB
fcis-6020	75	25	;	;	PUNCT
fcis-6020	75	26	when	when	SCONJ
fcis-6020	75	27	0.4	0.4	NUM
fcis-6020	75	28	<	<	X
fcis-6020	75	29	a<0.6	a<0.6	NOUN
fcis-6020	75	30	,	,	PUNCT
fcis-6020	75	31	the	the	DET
fcis-6020	75	32	two	two	NUM
fcis-6020	75	33	variables	variable	NOUN
fcis-6020	75	34	are	be	AUX
fcis-6020	75	35	moderately	moderately	ADV
fcis-6020	75	36	strongly	strongly	ADV
fcis-6020	75	37	correlated	correlate	VERB
fcis-6020	75	38	;	;	PUNCT
fcis-6020	75	39	when	when	SCONJ
fcis-6020	75	40	0.2	0.2	NUM
fcis-6020	75	41	<	<	X
fcis-6020	75	42	a<0.4	a<0.4	NUM
fcis-6020	75	43	,	,	PUNCT
fcis-6020	75	44	the	the	DET
fcis-6020	75	45	two	two	NUM
fcis-6020	75	46	variables	variable	NOUN
fcis-6020	75	47	are	be	AUX
fcis-6020	75	48	weakly	weakly	ADV
fcis-6020	75	49	correlated	correlate	VERB
fcis-6020	75	50	;	;	PUNCT
fcis-6020	75	51	when	when	SCONJ
fcis-6020	75	52	0	0	NUM
fcis-6020	75	53	<	<	X
fcis-6020	75	54	a<0.2	a<0.2	PROPN
fcis-6020	75	55	,	,	PUNCT
fcis-6020	75	56	the	the	DET
fcis-6020	75	57	two	two	NUM
fcis-6020	75	58	variables	variable	NOUN
fcis-6020	75	59	are	be	AUX
fcis-6020	75	60	very	very	ADV
fcis-6020	75	61	weakly	weakly	ADJ
fcis-6020	75	62	or	or	CCONJ
fcis-6020	75	63	not	not	PART
fcis-6020	75	64	correlated	correlate	VERB
fcis-6020	75	65	.	.	PUNCT
fcis-6020	76	1	figure	figure	VERB
fcis-6020	76	2	5	5	NUM
fcis-6020	76	3	.	.	PUNCT
fcis-6020	76	4	correlation	correlation	NOUN
fcis-6020	76	5	value	value	NOUN
fcis-6020	76	6	line	line	NOUN
fcis-6020	76	7	graph	graph	NOUN
fcis-6020	76	8	therefore	therefore	ADV
fcis-6020	76	9	,	,	PUNCT
fcis-6020	76	10	in	in	ADP
fcis-6020	76	11	this	this	DET
fcis-6020	76	12	paper	paper	NOUN
fcis-6020	76	13	,	,	PUNCT
fcis-6020	76	14	a	a	DET
fcis-6020	76	15	total	total	NOUN
fcis-6020	76	16	of	of	ADP
fcis-6020	76	17	28	28	NUM
fcis-6020	76	18	indicators	indicator	NOUN
fcis-6020	76	19	of	of	ADP
fcis-6020	76	20	site	site	NOUN
fcis-6020	76	21	-	-	PUNCT
fcis-6020	76	22	faq	faq	NOUN
fcis-6020	76	23	were	be	AUX
fcis-6020	76	24	selected	select	VERB
fcis-6020	76	25	as	as	ADP
fcis-6020	76	26	essential	essential	ADJ
fcis-6020	76	27	indicators	indicator	NOUN
fcis-6020	76	28	,	,	PUNCT
fcis-6020	76	29	and	and	CCONJ
fcis-6020	76	30	histograms	histogram	NOUN
fcis-6020	76	31	were	be	AUX
fcis-6020	76	32	made	make	VERB
fcis-6020	76	33	to	to	PART
fcis-6020	76	34	observe	observe	VERB
fcis-6020	76	35	the	the	DET
fcis-6020	76	36	volatility	volatility	NOUN
fcis-6020	76	37	,	,	PUNCT
fcis-6020	76	38	and	and	CCONJ
fcis-6020	76	39	pearson	pearson	PROPN
fcis-6020	76	40	correlation	correlation	NOUN
fcis-6020	76	41	analysis	analysis	NOUN
fcis-6020	76	42	was	be	AUX
fcis-6020	76	43	done	do	VERB
fcis-6020	76	44	for	for	ADP
fcis-6020	76	45	the	the	DET
fcis-6020	76	46	remaining	remain	VERB
fcis-6020	76	47	variables	variable	NOUN
fcis-6020	76	48	with	with	ADP
fcis-6020	76	49	high	high	ADJ
fcis-6020	76	50	volatility	volatility	NOUN
fcis-6020	76	51	to	to	PART
fcis-6020	76	52	screen	screen	VERB
fcis-6020	76	53	the	the	DET
fcis-6020	76	54	indicators	indicator	NOUN
fcis-6020	76	55	with	with	ADP
fcis-6020	76	56	strong	strong	ADJ
fcis-6020	76	57	correlation	correlation	NOUN
fcis-6020	76	58	to	to	ADP
fcis-6020	76	59	the	the	DET
fcis-6020	76	60	generation	generation	NOUN
fcis-6020	76	61	and	and	CCONJ
fcis-6020	76	62	deterioration	deterioration	NOUN
fcis-6020	76	63	of	of	ADP
fcis-6020	76	64	alzheimer	alzheimer	PROPN
fcis-6020	76	65	's	's	PART
fcis-6020	76	66	disease	disease	NOUN
fcis-6020	76	67	.	.	PUNCT
fcis-6020	77	1	based	base	VERB
fcis-6020	77	2	on	on	ADP
fcis-6020	77	3	this	this	PRON
fcis-6020	77	4	,	,	PUNCT
fcis-6020	77	5	a	a	DET
fcis-6020	77	6	total	total	NOUN
fcis-6020	77	7	of	of	ADP
fcis-6020	77	8	53	53	NUM
fcis-6020	77	9	indicators	indicator	NOUN
fcis-6020	77	10	were	be	AUX
fcis-6020	77	11	selected	select	VERB
fcis-6020	77	12	as	as	ADP
fcis-6020	77	13	basic	basic	ADJ
fcis-6020	77	14	indicators	indicator	NOUN
fcis-6020	77	15	in	in	ADP
fcis-6020	77	16	this	this	DET
fcis-6020	77	17	paper	paper	NOUN
fcis-6020	77	18	.	.	PUNCT
fcis-6020	78	1	4	4	X
fcis-6020	78	2	.	.	X
fcis-6020	78	3	problem	problem	NOUN
fcis-6020	78	4	2	2	NUM
fcis-6020	78	5	problem	problem	NOUN
fcis-6020	78	6	2	2	NUM
fcis-6020	78	7	model	model	NOUN
fcis-6020	78	8	building	building	NOUN
fcis-6020	78	9	and	and	CCONJ
fcis-6020	78	10	solution	solution	NOUN
fcis-6020	78	11	process	process	NOUN
fcis-6020	78	12	is	be	AUX
fcis-6020	78	13	shown	show	VERB
fcis-6020	78	14	in	in	ADP
fcis-6020	78	15	figure	figure	NOUN
fcis-6020	78	16	6	6	NUM
fcis-6020	78	17	;	;	PUNCT
fcis-6020	78	18	figure	figure	VERB
fcis-6020	78	19	6	6	NUM
fcis-6020	78	20	.	.	PUNCT
fcis-6020	79	1	problem	problem	NOUN
fcis-6020	79	2	2	2	NUM
fcis-6020	79	3	solution	solution	NOUN
fcis-6020	79	4	process	process	NOUN
fcis-6020	79	5	4.1	4.1	NUM
fcis-6020	79	6	.	.	PUNCT
fcis-6020	80	1	model	model	NOUN
fcis-6020	80	2	buiding	buiding	NOUN
fcis-6020	80	3	and	and	CCONJ
fcis-6020	80	4	solving	solve	VERB
fcis-6020	80	5	decision	decision	NOUN
fcis-6020	80	6	trees	tree	NOUN
fcis-6020	80	7	are	be	AUX
fcis-6020	80	8	supervised	supervised	ADJ
fcis-6020	80	9	learning	learning	NOUN
fcis-6020	80	10	,	,	PUNCT
fcis-6020	80	11	a	a	DET
fcis-6020	80	12	typical	typical	ADJ
fcis-6020	80	13	tree	tree	NOUN
fcis-6020	80	14	model	model	NOUN
fcis-6020	80	15	,	,	PUNCT
fcis-6020	80	16	which	which	PRON
fcis-6020	80	17	embodies	embody	VERB
fcis-6020	80	18	a	a	DET
fcis-6020	80	19	functional	functional	ADJ
fcis-6020	80	20	mapping	mapping	NOUN
fcis-6020	80	21	between	between	ADP
fcis-6020	80	22	features	feature	NOUN
fcis-6020	80	23	and	and	CCONJ
fcis-6020	80	24	labels	label	NOUN
fcis-6020	80	25	.	.	PUNCT
fcis-6020	81	1	the	the	DET
fcis-6020	81	2	non	non	ADJ
fcis-6020	81	3	-	-	ADJ
fcis-6020	81	4	leaf	leaf	ADJ
fcis-6020	81	5	nodes	node	NOUN
fcis-6020	81	6	represent	represent	VERB
fcis-6020	81	7	the	the	DET
fcis-6020	81	8	division	division	NOUN
fcis-6020	81	9	of	of	ADP
fcis-6020	81	10	the	the	DET
fcis-6020	81	11	sample	sample	NOUN
fcis-6020	81	12	on	on	ADP
fcis-6020	81	13	a	a	DET
fcis-6020	81	14	feature	feature	NOUN
fcis-6020	81	15	,	,	PUNCT
fcis-6020	81	16	and	and	CCONJ
fcis-6020	81	17	the	the	DET
fcis-6020	81	18	sample	sample	NOUN
fcis-6020	81	19	set	set	NOUN
fcis-6020	81	20	is	be	AUX
fcis-6020	81	21	divided	divide	VERB
fcis-6020	81	22	into	into	ADP
fcis-6020	81	23	several	several	ADJ
fcis-6020	81	24	sub	sub	NOUN
fcis-6020	81	25	-	-	NOUN
fcis-6020	81	26	trees	tree	NOUN
fcis-6020	81	27	according	accord	VERB
fcis-6020	81	28	to	to	ADP
fcis-6020	81	29	the	the	DET
fcis-6020	81	30	different	different	ADJ
fcis-6020	81	31	values	value	NOUN
fcis-6020	81	32	of	of	ADP
fcis-6020	81	33	the	the	DET
fcis-6020	81	34	decision	decision	NOUN
fcis-6020	81	35	tree	tree	NOUN
fcis-6020	81	36	is	be	AUX
fcis-6020	81	37	divided	divide	VERB
fcis-6020	81	38	into	into	ADP
fcis-6020	81	39	several	several	ADJ
fcis-6020	81	40	sub	sub	NOUN
fcis-6020	81	41	-	-	NOUN
fcis-6020	81	42	trees	tree	NOUN
fcis-6020	81	43	according	accord	VERB
fcis-6020	81	44	to	to	ADP
fcis-6020	81	45	the	the	DET
fcis-6020	81	46	different	different	ADJ
fcis-6020	81	47	values	value	NOUN
fcis-6020	81	48	of	of	ADP
fcis-6020	81	49	the	the	DET
fcis-6020	81	50	feature	feature	NOUN
fcis-6020	81	51	,	,	PUNCT
fcis-6020	81	52	until	until	SCONJ
fcis-6020	81	53	the	the	DET
fcis-6020	81	54	leaf	leaf	NOUN
fcis-6020	81	55	node	node	NOUN
fcis-6020	81	56	or	or	CCONJ
fcis-6020	81	57	the	the	DET
fcis-6020	81	58	condition	condition	NOUN
fcis-6020	81	59	is	be	AUX
fcis-6020	81	60	satisfied	satisfied	ADJ
fcis-6020	81	61	.	.	PUNCT
fcis-6020	82	1	or	or	CCONJ
fcis-6020	82	2	a	a	DET
fcis-6020	82	3	condition	condition	NOUN
fcis-6020	82	4	is	be	AUX
fcis-6020	82	5	met	meet	VERB
fcis-6020	82	6	,	,	PUNCT
fcis-6020	82	7	the	the	DET
fcis-6020	82	8	sample	sample	NOUN
fcis-6020	82	9	set	set	NOUN
fcis-6020	82	10	is	be	AUX
fcis-6020	82	11	not	not	PART
fcis-6020	82	12	split	split	VERB
fcis-6020	82	13	again	again	ADV
fcis-6020	82	14	.	.	PUNCT
fcis-6020	83	1	corresponds	correspond	VERB
fcis-6020	83	2	to	to	ADP
fcis-6020	83	3	a	a	DET
fcis-6020	83	4	classification	classification	NOUN
fcis-6020	83	5	.	.	PUNCT
fcis-6020	84	1	the	the	DET
fcis-6020	84	2	core	core	NOUN
fcis-6020	84	3	problem	problem	NOUN
fcis-6020	84	4	of	of	ADP
fcis-6020	84	5	constructing	construct	VERB
fcis-6020	84	6	a	a	DET
fcis-6020	84	7	decision	decision	NOUN
fcis-6020	84	8	tree	tree	NOUN
fcis-6020	84	9	is	be	AUX
fcis-6020	84	10	how	how	SCONJ
fcis-6020	84	11	to	to	PART
fcis-6020	84	12	select	select	VERB
fcis-6020	84	13	a	a	DET
fcis-6020	84	14	suitable	suitable	ADJ
fcis-6020	84	15	feature	feature	NOUN
fcis-6020	84	16	to	to	PART
fcis-6020	84	17	split	split	VERB
fcis-6020	84	18	the	the	DET
fcis-6020	84	19	current	current	ADJ
fcis-6020	84	20	sample	sample	NOUN
fcis-6020	84	21	set	set	NOUN
fcis-6020	84	22	.	.	PUNCT
fcis-6020	85	1	figure	figure	VERB
fcis-6020	85	2	7	7	NUM
fcis-6020	85	3	.	.	PUNCT
fcis-6020	85	4	decision	decision	NOUN
fcis-6020	85	5	tree	tree	NOUN
fcis-6020	85	6	structure	structure	NOUN
fcis-6020	85	7	diagram	diagram	NOUN
fcis-6020	85	8	there	there	PRON
fcis-6020	85	9	are	be	VERB
fcis-6020	85	10	two	two	NUM
fcis-6020	85	11	types	type	NOUN
fcis-6020	85	12	of	of	ADP
fcis-6020	85	13	decision	decision	NOUN
fcis-6020	85	14	trees	tree	NOUN
fcis-6020	85	15	,	,	PUNCT
fcis-6020	85	16	depending	depend	VERB
fcis-6020	85	17	on	on	ADP
fcis-6020	85	18	the	the	DET
fcis-6020	85	19	target	target	NOUN
fcis-6020	85	20	variable	variable	NOUN
fcis-6020	85	21	.	.	PUNCT
fcis-6020	86	1	(	(	PUNCT
fcis-6020	86	2	1	1	X
fcis-6020	86	3	)	)	PUNCT
fcis-6020	86	4	categorical	categorical	ADJ
fcis-6020	86	5	variable	variable	ADJ
fcis-6020	86	6	decision	decision	NOUN
fcis-6020	86	7	tree	tree	NOUN
fcis-6020	86	8	:	:	PUNCT
fcis-6020	86	9	the	the	DET
fcis-6020	86	10	target	target	NOUN
fcis-6020	86	11	variable	variable	NOUN
fcis-6020	86	12	is	be	AUX
fcis-6020	86	13	classified	classify	VERB
fcis-6020	86	14	according	accord	VERB
fcis-6020	86	15	to	to	ADP
fcis-6020	86	16	the	the	DET
fcis-6020	86	17	input	input	NOUN
fcis-6020	86	18	characteristics	characteristic	NOUN
fcis-6020	86	19	.	.	PUNCT
fcis-6020	87	1	for	for	ADP
fcis-6020	87	2	example	example	NOUN
fcis-6020	87	3	,	,	PUNCT
fcis-6020	87	4	suppose	suppose	VERB
fcis-6020	87	5	you	you	PRON
fcis-6020	87	6	are	be	AUX
fcis-6020	87	7	asked	ask	VERB
fcis-6020	87	8	to	to	PART
fcis-6020	87	9	predict	predict	VERB
fcis-6020	87	10	the	the	DET
fcis-6020	87	11	relative	relative	ADJ
fcis-6020	87	12	price	price	NOUN
fcis-6020	87	13	of	of	ADP
fcis-6020	87	14	a	a	DET
fcis-6020	87	15	computer	computer	NOUN
fcis-6020	87	16	into	into	ADP
fcis-6020	87	17	one	one	NUM
fcis-6020	87	18	of	of	ADP
fcis-6020	87	19	the	the	DET
fcis-6020	87	20	following	follow	VERB
fcis-6020	87	21	three	three	NUM
fcis-6020	87	22	categories	category	NOUN
fcis-6020	87	23	:	:	PUNCT
fcis-6020	87	24	low	low	ADJ
fcis-6020	87	25	,	,	PUNCT
fcis-6020	87	26	medium	medium	ADJ
fcis-6020	87	27	,	,	PUNCT
fcis-6020	87	28	or	or	CCONJ
fcis-6020	87	29	high	high	ADJ
fcis-6020	87	30	.	.	PUNCT
fcis-6020	88	1	features	feature	NOUN
fcis-6020	88	2	may	may	AUX
fcis-6020	88	3	include	include	VERB
fcis-6020	88	4	cpu	cpu	NOUN
fcis-6020	88	5	,	,	PUNCT
fcis-6020	88	6	memory	memory	NOUN
fcis-6020	88	7	size	size	NOUN
fcis-6020	88	8	,	,	PUNCT
fcis-6020	88	9	hard	hard	ADJ
fcis-6020	88	10	disk	disk	NOUN
fcis-6020	88	11	size	size	NOUN
fcis-6020	88	12	,	,	PUNCT
fcis-6020	88	13	graphics	graphic	NOUN
fcis-6020	88	14	card	card	NOUN
fcis-6020	88	15	,	,	PUNCT
fcis-6020	88	16	sound	sound	NOUN
fcis-6020	88	17	card	card	NOUN
fcis-6020	88	18	,	,	PUNCT
fcis-6020	88	19	etc	etc	X
fcis-6020	88	20	.	.	X
fcis-6020	89	1	the	the	DET
fcis-6020	89	2	decision	decision	NOUN
fcis-6020	89	3	tree	tree	NOUN
fcis-6020	89	4	will	will	AUX
fcis-6020	89	5	learn	learn	VERB
fcis-6020	89	6	from	from	ADP
fcis-6020	89	7	these	these	DET
fcis-6020	89	8	features	feature	NOUN
fcis-6020	89	9	,	,	PUNCT
fcis-6020	89	10	and	and	CCONJ
fcis-6020	89	11	after	after	ADP
fcis-6020	89	12	passing	pass	VERB
fcis-6020	89	13	each	each	DET
fcis-6020	89	14	data	data	NOUN
fcis-6020	89	15	point	point	NOUN
fcis-6020	89	16	to	to	ADP
fcis-6020	89	17	each	each	DET
fcis-6020	89	18	node	node	NOUN
fcis-6020	89	19	,	,	PUNCT
fcis-6020	89	20	it	it	PRON
fcis-6020	89	21	will	will	AUX
fcis-6020	89	22	eventually	eventually	ADV
fcis-6020	89	23	reach	reach	VERB
fcis-6020	89	24	the	the	DET
fcis-6020	89	25	3	3	NUM
fcis-6020	89	26	classification	classification	NOUN
fcis-6020	89	27	goals	goal	NOUN
fcis-6020	89	28	:	:	PUNCT
fcis-6020	89	29	low	low	ADJ
fcis-6020	89	30	,	,	PUNCT
fcis-6020	89	31	medium	medium	ADJ
fcis-6020	89	32	,	,	PUNCT
fcis-6020	89	33	and	and	CCONJ
fcis-6020	89	34	high	high	ADJ
fcis-6020	89	35	.	.	PUNCT
fcis-6020	90	1	(	(	PUNCT
fcis-6020	90	2	2	2	X
fcis-6020	90	3	)	)	PUNCT
fcis-6020	90	4	continuous	continuous	ADJ
fcis-6020	90	5	variable	variable	ADJ
fcis-6020	90	6	decision	decision	NOUN
fcis-6020	90	7	tree	tree	NOUN
fcis-6020	90	8	:	:	PUNCT
fcis-6020	90	9	in	in	ADP
fcis-6020	90	10	this	this	DET
fcis-6020	90	11	case	case	NOUN
fcis-6020	90	12	,	,	PUNCT
fcis-6020	90	13	the	the	DET
fcis-6020	90	14	features	feature	NOUN
fcis-6020	90	15	input	input	NOUN
fcis-6020	90	16	to	to	ADP
fcis-6020	90	17	the	the	DET
fcis-6020	90	18	decision	decision	NOUN
fcis-6020	90	19	tree	tree	NOUN
fcis-6020	90	20	(	(	PUNCT
fcis-6020	90	21	e.g.	e.g.	ADV
fcis-6020	90	22	quality	quality	NOUN
fcis-6020	90	23	of	of	ADP
fcis-6020	90	24	a	a	DET
fcis-6020	90	25	house	house	NOUN
fcis-6020	90	26	)	)	PUNCT
fcis-6020	90	27	will	will	AUX
fcis-6020	90	28	be	be	AUX
fcis-6020	90	29	used	use	VERB
fcis-6020	90	30	to	to	PART
fcis-6020	90	31	predict	predict	VERB
fcis-6020	90	32	the	the	DET
fcis-6020	90	33	continuous	continuous	ADJ
fcis-6020	90	34	output	output	NOUN
fcis-6020	90	35	(	(	PUNCT
fcis-6020	90	36	e.g.	e.g.	ADV
fcis-6020	90	37	price	price	NOUN
fcis-6020	90	38	of	of	ADP
fcis-6020	90	39	a	a	DET
fcis-6020	90	40	house	house	NOUN
fcis-6020	90	41	)	)	PUNCT
fcis-6020	90	42	.	.	PUNCT
fcis-6020	91	1	33	33	NUM
fcis-6020	91	2	figure	figure	NOUN
fcis-6020	91	3	8	8	NUM
fcis-6020	91	4	.	.	PUNCT
fcis-6020	91	5	shap	shap	PROPN
fcis-6020	91	6	value	value	NOUN
fcis-6020	91	7	(	(	PUNCT
fcis-6020	91	8	impact	impact	NOUN
fcis-6020	91	9	on	on	ADP
fcis-6020	91	10	model	model	NOUN
fcis-6020	91	11	output	output	NOUN
fcis-6020	91	12	)	)	PUNCT
fcis-6020	91	13	1	1	NUM
fcis-6020	91	14	)	)	PUNCT
fcis-6020	91	15	.	.	PUNCT
fcis-6020	92	1	build	build	VERB
fcis-6020	92	2	a	a	DET
fcis-6020	92	3	gradient	gradient	NOUN
fcis-6020	92	4	boosted	boost	VERB
fcis-6020	92	5	tree	tree	NOUN
fcis-6020	92	6	(	(	PUNCT
fcis-6020	92	7	gbdt	gbdt	NOUN
fcis-6020	92	8	)	)	PUNCT
fcis-6020	92	9	classification	classification	NOUN
fcis-6020	92	10	model	model	NOUN
fcis-6020	92	11	from	from	ADP
fcis-6020	92	12	the	the	DET
fcis-6020	92	13	training	training	NOUN
fcis-6020	92	14	set	set	VERB
fcis-6020	92	15	data	datum	NOUN
fcis-6020	92	16	.	.	PUNCT
fcis-6020	93	1	2	2	NUM
fcis-6020	93	2	)	)	PUNCT
fcis-6020	93	3	.	.	PUNCT
fcis-6020	94	1	calculate	calculate	VERB
fcis-6020	94	2	the	the	DET
fcis-6020	94	3	feature	feature	NOUN
fcis-6020	94	4	importance	importance	NOUN
fcis-6020	94	5	from	from	ADP
fcis-6020	94	6	the	the	DET
fcis-6020	94	7	established	establish	VERB
fcis-6020	94	8	gradient	gradient	NOUN
fcis-6020	94	9	boosted	boost	VERB
fcis-6020	94	10	tree	tree	NOUN
fcis-6020	94	11	(	(	PUNCT
fcis-6020	94	12	gbdt	gbdt	NOUN
fcis-6020	94	13	)	)	PUNCT
fcis-6020	94	14	.	.	PUNCT
fcis-6020	95	1	3	3	NUM
fcis-6020	95	2	)	)	PUNCT
fcis-6020	95	3	.	.	PUNCT
fcis-6020	96	1	apply	apply	VERB
fcis-6020	96	2	the	the	DET
fcis-6020	96	3	established	establish	VERB
fcis-6020	96	4	gradient	gradient	NOUN
fcis-6020	96	5	boosted	boost	VERB
fcis-6020	96	6	tree	tree	NOUN
fcis-6020	96	7	(	(	PUNCT
fcis-6020	96	8	gbdt	gbdt	NOUN
fcis-6020	96	9	)	)	PUNCT
fcis-6020	96	10	classification	classification	NOUN
fcis-6020	96	11	model	model	NOUN
fcis-6020	96	12	to	to	ADP
fcis-6020	96	13	the	the	DET
fcis-6020	96	14	training	training	NOUN
fcis-6020	96	15	and	and	CCONJ
fcis-6020	96	16	testing	testing	NOUN
fcis-6020	96	17	data	datum	NOUN
fcis-6020	96	18	to	to	PART
fcis-6020	96	19	obtain	obtain	VERB
fcis-6020	96	20	the	the	DET
fcis-6020	96	21	classification	classification	NOUN
fcis-6020	96	22	evaluation	evaluation	NOUN
fcis-6020	96	23	results	result	NOUN
fcis-6020	96	24	of	of	ADP
fcis-6020	96	25	the	the	DET
fcis-6020	96	26	model	model	NOUN
fcis-6020	96	27	.	.	PUNCT
fcis-6020	97	1	4	4	NUM
fcis-6020	97	2	)	)	PUNCT
fcis-6020	97	3	.	.	PUNCT
fcis-6020	98	1	since	since	SCONJ
fcis-6020	98	2	the	the	DET
fcis-6020	98	3	gradient	gradient	NOUN
fcis-6020	98	4	boosting	boost	VERB
fcis-6020	98	5	tree	tree	NOUN
fcis-6020	98	6	(	(	PUNCT
fcis-6020	98	7	gbdt	gbdt	NOUN
fcis-6020	98	8	)	)	PUNCT
fcis-6020	98	9	is	be	AUX
fcis-6020	98	10	random	random	ADJ
fcis-6020	98	11	,	,	PUNCT
fcis-6020	98	12	the	the	DET
fcis-6020	98	13	result	result	NOUN
fcis-6020	98	14	of	of	ADP
fcis-6020	98	15	each	each	DET
fcis-6020	98	16	operation	operation	NOUN
fcis-6020	98	17	is	be	AUX
fcis-6020	98	18	not	not	PART
fcis-6020	98	19	the	the	DET
fcis-6020	98	20	same	same	ADJ
fcis-6020	98	21	,	,	PUNCT
fcis-6020	98	22	if	if	SCONJ
fcis-6020	98	23	this	this	DET
fcis-6020	98	24	training	training	NOUN
fcis-6020	98	25	model	model	NOUN
fcis-6020	98	26	is	be	AUX
fcis-6020	98	27	saved	save	VERB
fcis-6020	98	28	,	,	PUNCT
fcis-6020	98	29	the	the	DET
fcis-6020	98	30	subsequent	subsequent	ADJ
fcis-6020	98	31	data	datum	NOUN
fcis-6020	98	32	can	can	AUX
fcis-6020	98	33	be	be	AUX
fcis-6020	98	34	directly	directly	ADV
fcis-6020	98	35	uploaded	upload	VERB
fcis-6020	98	36	to	to	ADP
fcis-6020	98	37	this	this	DET
fcis-6020	98	38	training	training	NOUN
fcis-6020	98	39	model	model	NOUN
fcis-6020	98	40	to	to	PART
fcis-6020	98	41	calculate	calculate	VERB
fcis-6020	98	42	the	the	DET
fcis-6020	98	43	classification	classification	NOUN
fcis-6020	98	44	.	.	PUNCT
fcis-6020	99	1	5	5	NUM
fcis-6020	99	2	)	)	PUNCT
fcis-6020	99	3	.	.	PUNCT
fcis-6020	100	1	note	note	NOUN
fcis-6020	100	2	:	:	PUNCT
fcis-6020	100	3	gradient	gradient	ADJ
fcis-6020	100	4	boosting	boost	VERB
fcis-6020	100	5	tree	tree	NOUN
fcis-6020	100	6	(	(	PUNCT
fcis-6020	100	7	gbdt	gbdt	NOUN
fcis-6020	100	8	)	)	PUNCT
fcis-6020	100	9	can	can	AUX
fcis-6020	100	10	not	not	PART
fcis-6020	100	11	get	get	VERB
fcis-6020	100	12	the	the	DET
fcis-6020	100	13	definite	definite	ADJ
fcis-6020	100	14	equation	equation	NOUN
fcis-6020	100	15	like	like	ADP
fcis-6020	100	16	the	the	DET
fcis-6020	100	17	traditional	traditional	ADJ
fcis-6020	100	18	model	model	NOUN
fcis-6020	100	19	,	,	PUNCT
fcis-6020	100	20	and	and	CCONJ
fcis-6020	100	21	the	the	DET
fcis-6020	100	22	model	model	NOUN
fcis-6020	100	23	is	be	AUX
fcis-6020	100	24	usually	usually	ADV
fcis-6020	100	25	evaluated	evaluate	VERB
fcis-6020	100	26	by	by	ADP
fcis-6020	100	27	testing	test	VERB
fcis-6020	100	28	the	the	DET
fcis-6020	100	29	data	data	NOUN
fcis-6020	100	30	classification	classification	NOUN
fcis-6020	100	31	effect	effect	NOUN
fcis-6020	100	32	.	.	PUNCT
fcis-6020	101	1	during	during	ADP
fcis-6020	101	2	the	the	DET
fcis-6020	101	3	development	development	NOUN
fcis-6020	101	4	of	of	ADP
fcis-6020	101	5	machine	machine	NOUN
fcis-6020	101	6	learning	learning	NOUN
fcis-6020	101	7	models	model	NOUN
fcis-6020	101	8	,	,	PUNCT
fcis-6020	101	9	it	it	PRON
fcis-6020	101	10	is	be	AUX
fcis-6020	101	11	expected	expect	VERB
fcis-6020	101	12	that	that	SCONJ
fcis-6020	101	13	the	the	DET
fcis-6020	101	14	trained	train	VERB
fcis-6020	101	15	model	model	NOUN
fcis-6020	101	16	will	will	AUX
fcis-6020	101	17	perform	perform	VERB
fcis-6020	101	18	well	well	ADV
fcis-6020	101	19	on	on	ADP
fcis-6020	101	20	new	new	ADJ
fcis-6020	101	21	,	,	PUNCT
fcis-6020	101	22	unseen	unseen	ADJ
fcis-6020	101	23	data	datum	NOUN
fcis-6020	101	24	.	.	PUNCT
fcis-6020	102	1	to	to	PART
fcis-6020	102	2	simulate	simulate	VERB
fcis-6020	102	3	new	new	ADJ
fcis-6020	102	4	,	,	PUNCT
fcis-6020	102	5	unseen	unseen	ADJ
fcis-6020	102	6	data	datum	NOUN
fcis-6020	102	7	,	,	PUNCT
fcis-6020	102	8	data	datum	NOUN
fcis-6020	102	9	partitioning	partitioning	NOUN
fcis-6020	102	10	is	be	AUX
fcis-6020	102	11	performed	perform	VERB
fcis-6020	102	12	on	on	ADP
fcis-6020	102	13	the	the	DET
fcis-6020	102	14	available	available	ADJ
fcis-6020	102	15	data	datum	NOUN
fcis-6020	102	16	,	,	PUNCT
fcis-6020	102	17	thus	thus	ADV
fcis-6020	102	18	splitting	split	VERB
fcis-6020	102	19	it	it	PRON
fcis-6020	102	20	into	into	ADP
fcis-6020	102	21	2	2	NUM
fcis-6020	102	22	parts	part	NOUN
fcis-6020	102	23	(	(	PUNCT
fcis-6020	102	24	sometimes	sometimes	ADV
fcis-6020	102	25	called	call	VERB
fcis-6020	102	26	training	training	NOUN
fcis-6020	102	27	-	-	PUNCT
fcis-6020	102	28	test	test	NOUN
fcis-6020	102	29	partitioning	partitioning	NOUN
fcis-6020	102	30	)	)	PUNCT
fcis-6020	102	31	.	.	PUNCT
fcis-6020	103	1	in	in	ADP
fcis-6020	103	2	particular	particular	ADJ
fcis-6020	103	3	,	,	PUNCT
fcis-6020	103	4	the	the	DET
fcis-6020	103	5	first	first	ADJ
fcis-6020	103	6	part	part	NOUN
fcis-6020	103	7	is	be	AUX
fcis-6020	103	8	a	a	DET
fcis-6020	103	9	larger	large	ADJ
fcis-6020	103	10	subset	subset	NOUN
fcis-6020	103	11	of	of	ADP
fcis-6020	103	12	the	the	DET
fcis-6020	103	13	data	datum	NOUN
fcis-6020	103	14	used	use	VERB
fcis-6020	103	15	as	as	ADP
fcis-6020	103	16	the	the	DET
fcis-6020	103	17	training	training	NOUN
fcis-6020	103	18	set	set	NOUN
fcis-6020	103	19	(	(	PUNCT
fcis-6020	103	20	e.g.	e.g.	ADV
fcis-6020	103	21	,	,	PUNCT
fcis-6020	103	22	80	80	NUM
fcis-6020	103	23	%	%	NOUN
fcis-6020	103	24	of	of	ADP
fcis-6020	103	25	the	the	DET
fcis-6020	103	26	original	original	ADJ
fcis-6020	103	27	data	datum	NOUN
fcis-6020	103	28	)	)	PUNCT
fcis-6020	103	29	and	and	CCONJ
fcis-6020	103	30	the	the	DET
fcis-6020	103	31	second	second	ADJ
fcis-6020	103	32	part	part	NOUN
fcis-6020	103	33	is	be	AUX
fcis-6020	103	34	usually	usually	ADV
fcis-6020	103	35	a	a	DET
fcis-6020	103	36	smaller	small	ADJ
fcis-6020	103	37	subset	subset	NOUN
fcis-6020	103	38	used	use	VERB
fcis-6020	103	39	as	as	ADP
fcis-6020	103	40	the	the	DET
fcis-6020	103	41	test	test	NOUN
fcis-6020	103	42	set	set	NOUN
fcis-6020	103	43	(	(	PUNCT
fcis-6020	103	44	the	the	DET
fcis-6020	103	45	remaining	remain	VERB
fcis-6020	103	46	20	20	NUM
fcis-6020	103	47	%	%	NOUN
fcis-6020	103	48	of	of	ADP
fcis-6020	103	49	the	the	DET
fcis-6020	103	50	data	datum	NOUN
fcis-6020	103	51	)	)	PUNCT
fcis-6020	103	52	.	.	PUNCT
fcis-6020	104	1	it	it	PRON
fcis-6020	104	2	is	be	AUX
fcis-6020	104	3	important	important	ADJ
fcis-6020	104	4	to	to	PART
fcis-6020	104	5	note	note	VERB
fcis-6020	104	6	that	that	SCONJ
fcis-6020	104	7	this	this	DET
fcis-6020	104	8	data	data	NOUN
fcis-6020	104	9	splitting	splitting	NOUN
fcis-6020	104	10	is	be	AUX
fcis-6020	104	11	performed	perform	VERB
fcis-6020	104	12	only	only	ADV
fcis-6020	104	13	once	once	ADV
fcis-6020	104	14	.	.	PUNCT
fcis-6020	105	1	next	next	ADV
fcis-6020	105	2	,	,	PUNCT
fcis-6020	105	3	a	a	DET
fcis-6020	105	4	prediction	prediction	NOUN
fcis-6020	105	5	model	model	NOUN
fcis-6020	105	6	is	be	AUX
fcis-6020	105	7	built	build	VERB
fcis-6020	105	8	using	use	VERB
fcis-6020	105	9	the	the	DET
fcis-6020	105	10	training	training	NOUN
fcis-6020	105	11	set	set	NOUN
fcis-6020	105	12	,	,	PUNCT
fcis-6020	105	13	and	and	CCONJ
fcis-6020	105	14	this	this	DET
fcis-6020	105	15	trained	train	VERB
fcis-6020	105	16	model	model	NOUN
fcis-6020	105	17	is	be	AUX
fcis-6020	105	18	then	then	ADV
fcis-6020	105	19	applied	apply	VERB
fcis-6020	105	20	to	to	ADP
fcis-6020	105	21	the	the	DET
fcis-6020	105	22	test	test	NOUN
fcis-6020	105	23	set	set	NOUN
fcis-6020	105	24	(	(	PUNCT
fcis-6020	105	25	i.e.	i.e.	X
fcis-6020	105	26	,	,	PUNCT
fcis-6020	105	27	as	as	ADP
fcis-6020	105	28	new	new	ADJ
fcis-6020	105	29	,	,	PUNCT
fcis-6020	105	30	unseen	unseen	ADJ
fcis-6020	105	31	data	datum	NOUN
fcis-6020	105	32	)	)	PUNCT
fcis-6020	105	33	for	for	ADP
fcis-6020	105	34	prediction	prediction	NOUN
fcis-6020	105	35	.	.	PUNCT
fcis-6020	106	1	the	the	DET
fcis-6020	106	2	best	good	ADJ
fcis-6020	106	3	model	model	NOUN
fcis-6020	106	4	is	be	AUX
fcis-6020	106	5	selected	select	VERB
fcis-6020	106	6	based	base	VERB
fcis-6020	106	7	on	on	ADP
fcis-6020	106	8	its	its	PRON
fcis-6020	106	9	performance	performance	NOUN
fcis-6020	106	10	on	on	ADP
fcis-6020	106	11	the	the	DET
fcis-6020	106	12	test	test	NOUN
fcis-6020	106	13	set	set	NOUN
fcis-6020	106	14	,	,	PUNCT
fcis-6020	106	15	and	and	CCONJ
fcis-6020	106	16	hyperparameter	hyperparameter	NOUN
fcis-6020	106	17	optimization	optimization	NOUN
fcis-6020	106	18	is	be	AUX
fcis-6020	106	19	also	also	ADV
fcis-6020	106	20	performed	perform	VERB
fcis-6020	106	21	in	in	ADP
fcis-6020	106	22	order	order	NOUN
fcis-6020	106	23	to	to	PART
fcis-6020	106	24	obtain	obtain	VERB
fcis-6020	106	25	the	the	DET
fcis-6020	106	26	best	good	ADJ
fcis-6020	106	27	model	model	NOUN
fcis-6020	107	1	[	[	X
fcis-6020	107	2	4	4	NUM
fcis-6020	107	3	]	]	PUNCT
fcis-6020	107	4	.	.	PUNCT
fcis-6020	108	1	as	as	SCONJ
fcis-6020	108	2	the	the	DET
fcis-6020	108	3	below	below	ADJ
fcis-6020	108	4	figure	figure	NOUN
fcis-6020	108	5	is	be	AUX
fcis-6020	108	6	a	a	DET
fcis-6020	108	7	mixed	mixed	ADJ
fcis-6020	108	8	matrix	matrix	NOUN
fcis-6020	108	9	,	,	PUNCT
fcis-6020	108	10	firstly	firstly	ADV
fcis-6020	108	11	,	,	PUNCT
fcis-6020	108	12	all	all	DET
fcis-6020	108	13	samples	sample	NOUN
fcis-6020	108	14	are	be	AUX
fcis-6020	108	15	divided	divide	VERB
fcis-6020	108	16	into	into	ADP
fcis-6020	108	17	positive	positive	ADJ
fcis-6020	108	18	samples	sample	NOUN
fcis-6020	108	19	p	p	NOUN
fcis-6020	108	20	(	(	PUNCT
fcis-6020	108	21	labeled	label	VERB
fcis-6020	108	22	as	as	ADP
fcis-6020	108	23	positive	positive	ADJ
fcis-6020	108	24	)	)	PUNCT
fcis-6020	108	25	and	and	CCONJ
fcis-6020	108	26	negative	negative	ADJ
fcis-6020	108	27	samples	sample	NOUN
fcis-6020	108	28	n	n	CCONJ
fcis-6020	108	29	(	(	PUNCT
fcis-6020	108	30	labeled	label	VERB
fcis-6020	108	31	as	as	ADP
fcis-6020	108	32	negative	negative	ADJ
fcis-6020	108	33	)	)	PUNCT
fcis-6020	108	34	,	,	PUNCT
fcis-6020	108	35	the	the	DET
fcis-6020	108	36	positive	positive	ADJ
fcis-6020	108	37	samples	sample	NOUN
fcis-6020	108	38	that	that	PRON
fcis-6020	108	39	are	be	AUX
fcis-6020	108	40	still	still	ADV
fcis-6020	108	41	positive	positive	ADJ
fcis-6020	108	42	after	after	SCONJ
fcis-6020	108	43	model	model	NOUN
fcis-6020	108	44	prediction	prediction	NOUN
fcis-6020	108	45	are	be	AUX
fcis-6020	108	46	noted	note	VERB
fcis-6020	108	47	as	as	ADP
fcis-6020	108	48	true	true	ADJ
fcis-6020	108	49	positive	positive	ADJ
fcis-6020	108	50	(	(	PUNCT
fcis-6020	108	51	tp	tp	NOUN
fcis-6020	108	52	)	)	PUNCT
fcis-6020	108	53	,	,	PUNCT
fcis-6020	108	54	the	the	DET
fcis-6020	108	55	positive	positive	ADJ
fcis-6020	108	56	samples	sample	NOUN
fcis-6020	108	57	that	that	PRON
fcis-6020	108	58	are	be	AUX
fcis-6020	108	59	predicted	predict	VERB
fcis-6020	108	60	to	to	PART
fcis-6020	108	61	be	be	AUX
fcis-6020	108	62	negative	negative	ADJ
fcis-6020	108	63	are	be	AUX
fcis-6020	108	64	called	call	VERB
fcis-6020	108	65	false	false	ADJ
fcis-6020	108	66	positive	positive	ADJ
fcis-6020	108	67	(	(	PUNCT
fcis-6020	108	68	fp	fp	NOUN
fcis-6020	108	69	)	)	PUNCT
fcis-6020	108	70	,	,	PUNCT
fcis-6020	108	71	similarly	similarly	ADV
fcis-6020	108	72	,	,	PUNCT
fcis-6020	108	73	the	the	DET
fcis-6020	108	74	negative	negative	ADJ
fcis-6020	108	75	samples	sample	NOUN
fcis-6020	108	76	that	that	PRON
fcis-6020	108	77	are	be	AUX
fcis-6020	108	78	predicted	predict	VERB
fcis-6020	108	79	to	to	PART
fcis-6020	108	80	be	be	AUX
fcis-6020	108	81	negative	negative	ADJ
fcis-6020	108	82	are	be	AUX
fcis-6020	108	83	called	call	VERB
fcis-6020	108	84	true	true	ADJ
fcis-6020	108	85	negative	negative	ADJ
fcis-6020	108	86	(	(	PUNCT
fcis-6020	108	87	tn	tn	NOUN
fcis-6020	108	88	)	)	PUNCT
fcis-6020	108	89	,	,	PUNCT
fcis-6020	108	90	and	and	CCONJ
fcis-6020	108	91	the	the	DET
fcis-6020	108	92	negative	negative	ADJ
fcis-6020	108	93	samples	sample	NOUN
fcis-6020	108	94	that	that	PRON
fcis-6020	108	95	are	be	AUX
fcis-6020	108	96	predicted	predict	VERB
fcis-6020	108	97	to	to	PART
fcis-6020	108	98	be	be	AUX
fcis-6020	108	99	positive	positive	ADJ
fcis-6020	108	100	are	be	AUX
fcis-6020	108	101	called	call	VERB
fcis-6020	108	102	false	false	ADJ
fcis-6020	108	103	negative	negative	ADJ
fcis-6020	108	104	(	(	PUNCT
fcis-6020	108	105	fn	fn	NOUN
fcis-6020	108	106	)	)	PUNCT
fcis-6020	108	107	.	.	PUNCT
fcis-6020	109	1	samples	sample	NOUN
fcis-6020	109	2	that	that	PRON
fcis-6020	109	3	are	be	AUX
fcis-6020	109	4	predicted	predict	VERB
fcis-6020	109	5	to	to	PART
fcis-6020	109	6	be	be	AUX
fcis-6020	109	7	negative	negative	ADJ
fcis-6020	109	8	are	be	AUX
fcis-6020	109	9	called	call	VERB
fcis-6020	109	10	true	true	ADJ
fcis-6020	109	11	negative	negative	ADJ
fcis-6020	109	12	(	(	PUNCT
fcis-6020	109	13	tn	tn	NOUN
fcis-6020	109	14	)	)	PUNCT
fcis-6020	109	15	and	and	CCONJ
fcis-6020	109	16	negative	negative	ADJ
fcis-6020	109	17	samples	sample	NOUN
fcis-6020	109	18	that	that	PRON
fcis-6020	109	19	are	be	AUX
fcis-6020	109	20	predicted	predict	VERB
fcis-6020	109	21	to	to	PART
fcis-6020	109	22	be	be	AUX
fcis-6020	109	23	positive	positive	ADJ
fcis-6020	109	24	are	be	AUX
fcis-6020	109	25	called	call	VERB
fcis-6020	109	26	false	false	ADJ
fcis-6020	109	27	negative	negative	ADJ
fcis-6020	109	28	(	(	PUNCT
fcis-6020	109	29	fn	fn	NOUN
fcis-6020	109	30	)	)	PUNCT
fcis-6020	109	31	,	,	PUNCT
fcis-6020	109	32	so	so	CCONJ
fcis-6020	109	33	after	after	ADP
fcis-6020	109	34	model	model	NOUN
fcis-6020	109	35	prediction	prediction	NOUN
fcis-6020	109	36	there	there	PRON
fcis-6020	109	37	are	be	VERB
fcis-6020	109	38	p	p	NOUN
fcis-6020	109	39	=	=	PUNCT
fcis-6020	109	40	tp+fn	tp+fn	NOUN
fcis-6020	109	41	and	and	CCONJ
fcis-6020	109	42	n	n	NOUN
fcis-6020	109	43	=	=	SYM
fcis-6020	109	44	fp+tn	fp+tn	PROPN
fcis-6020	110	1	.	.	PUNCT
fcis-6020	110	2	figure	figure	NOUN
fcis-6020	110	3	9	9	NUM
fcis-6020	110	4	.	.	PUNCT
fcis-6020	110	5	confusion	confusion	NOUN
fcis-6020	110	6	matrix	matrix	NOUN
fcis-6020	110	7	heat	heat	NOUN
fcis-6020	110	8	map	map	NOUN
fcis-6020	110	9	figure	figure	NOUN
fcis-6020	110	10	10	10	NUM
fcis-6020	110	11	.	.	PUNCT
fcis-6020	111	1	feature	feature	NOUN
fcis-6020	111	2	importance	importance	NOUN
fcis-6020	111	3	the	the	DET
fcis-6020	111	4	below	below	ADJ
fcis-6020	111	5	table	table	NOUN
fcis-6020	111	6	shows	show	VERB
fcis-6020	111	7	the	the	DET
fcis-6020	111	8	prediction	prediction	NOUN
fcis-6020	111	9	evaluation	evaluation	NOUN
fcis-6020	111	10	metrics	metric	NOUN
fcis-6020	111	11	of	of	ADP
fcis-6020	111	12	the	the	DET
fcis-6020	111	13	cross	cross	ADJ
fcis-6020	111	14	-	-	ADJ
fcis-6020	111	15	validation	validation	ADJ
fcis-6020	111	16	set	set	NOUN
fcis-6020	111	17	,	,	PUNCT
fcis-6020	111	18	training	training	NOUN
fcis-6020	111	19	set	set	NOUN
fcis-6020	111	20	and	and	CCONJ
fcis-6020	111	21	test	test	NOUN
fcis-6020	111	22	set	set	VERB
fcis-6020	111	23	to	to	PART
fcis-6020	111	24	measure	measure	VERB
fcis-6020	111	25	the	the	DET
fcis-6020	111	26	prediction	prediction	NOUN
fcis-6020	111	27	effectiveness	effectiveness	NOUN
fcis-6020	111	28	of	of	ADP
fcis-6020	111	29	gbdt	gbdt	NOUN
fcis-6020	111	30	through	through	ADP
fcis-6020	111	31	quantitative	quantitative	ADJ
fcis-6020	111	32	metrics	metric	NOUN
fcis-6020	111	33	.	.	PUNCT
fcis-6020	112	1	among	among	ADP
fcis-6020	112	2	them	they	PRON
fcis-6020	112	3	,	,	PUNCT
fcis-6020	112	4	the	the	DET
fcis-6020	112	5	evaluation	evaluation	NOUN
fcis-6020	112	6	metrics	metric	NOUN
fcis-6020	112	7	of	of	ADP
fcis-6020	112	8	the	the	DET
fcis-6020	112	9	crossvalidation	crossvalidation	NOUN
fcis-6020	112	10	set	set	NOUN
fcis-6020	112	11	can	can	AUX
fcis-6020	112	12	continuously	continuously	ADV
fcis-6020	112	13	adjust	adjust	VERB
fcis-6020	112	14	the	the	DET
fcis-6020	112	15	hyperparameters	hyperparameter	NOUN
fcis-6020	112	16	to	to	PART
fcis-6020	112	17	obtain	obtain	VERB
fcis-6020	112	18	a	a	DET
fcis-6020	112	19	reliable	reliable	ADJ
fcis-6020	112	20	and	and	CCONJ
fcis-6020	112	21	stable	stable	ADJ
fcis-6020	112	22	model	model	NOUN
fcis-6020	112	23	.	.	PUNCT
fcis-6020	113	1	●	●	PUNCT
fcis-6020	113	2	accuracy	accuracy	NOUN
fcis-6020	113	3	rate	rate	NOUN
fcis-6020	113	4	:	:	PUNCT
fcis-6020	113	5	the	the	DET
fcis-6020	113	6	proportion	proportion	NOUN
fcis-6020	113	7	of	of	ADP
fcis-6020	113	8	correctly	correctly	ADV
fcis-6020	113	9	predicted	predict	VERB
fcis-6020	113	10	samples	sample	NOUN
fcis-6020	113	11	to	to	ADP
fcis-6020	113	12	the	the	DET
fcis-6020	113	13	total	total	ADJ
fcis-6020	113	14	samples	sample	NOUN
fcis-6020	113	15	,	,	PUNCT
fcis-6020	113	16	the	the	PRON
fcis-6020	113	17	larger	large	ADJ
fcis-6020	113	18	the	the	DET
fcis-6020	113	19	accuracy	accuracy	NOUN
fcis-6020	113	20	rate	rate	NOUN
fcis-6020	113	21	,	,	PUNCT
fcis-6020	113	22	the	the	DET
fcis-6020	113	23	better	well	ADJ
fcis-6020	113	24	.	.	PUNCT
fcis-6020	114	1	●	●	PUNCT
fcis-6020	114	2	recall	recall	NOUN
fcis-6020	114	3	rate	rate	NOUN
fcis-6020	114	4	:	:	PUNCT
fcis-6020	114	5	the	the	DET
fcis-6020	114	6	proportion	proportion	NOUN
fcis-6020	114	7	of	of	ADP
fcis-6020	114	8	predicted	predict	VERB
fcis-6020	114	9	positive	positive	ADJ
fcis-6020	114	10	samples	sample	NOUN
fcis-6020	114	11	out	out	ADP
fcis-6020	114	12	of	of	ADP
fcis-6020	114	13	the	the	DET
fcis-6020	114	14	actual	actual	ADJ
fcis-6020	114	15	positive	positive	ADJ
fcis-6020	114	16	samples	sample	NOUN
fcis-6020	114	17	,	,	PUNCT
fcis-6020	114	18	and	and	CCONJ
fcis-6020	114	19	the	the	PRON
fcis-6020	114	20	larger	large	ADJ
fcis-6020	114	21	the	the	DET
fcis-6020	114	22	recall	recall	NOUN
fcis-6020	114	23	rate	rate	NOUN
fcis-6020	114	24	,	,	PUNCT
fcis-6020	114	25	the	the	PRON
fcis-6020	114	26	better	well	ADJ
fcis-6020	114	27	.	.	PUNCT
fcis-6020	115	1	●	●	PUNCT
fcis-6020	115	2	precision	precision	NOUN
fcis-6020	115	3	rate	rate	NOUN
fcis-6020	115	4	:	:	PUNCT
fcis-6020	115	5	the	the	DET
fcis-6020	115	6	proportion	proportion	NOUN
fcis-6020	115	7	of	of	ADP
fcis-6020	115	8	the	the	DET
fcis-6020	115	9	predicted	predict	VERB
fcis-6020	115	10	positive	positive	ADJ
fcis-6020	115	11	samples	sample	NOUN
fcis-6020	115	12	to	to	ADP
fcis-6020	115	13	the	the	DET
fcis-6020	115	14	actual	actual	ADJ
fcis-6020	115	15	positive	positive	ADJ
fcis-6020	115	16	samples	sample	NOUN
fcis-6020	115	17	,	,	PUNCT
fcis-6020	115	18	and	and	CCONJ
fcis-6020	115	19	the	the	PRON
fcis-6020	115	20	larger	large	ADJ
fcis-6020	115	21	the	the	DET
fcis-6020	115	22	precision	precision	NOUN
fcis-6020	115	23	rate	rate	NOUN
fcis-6020	115	24	,	,	PUNCT
fcis-6020	115	25	the	the	DET
fcis-6020	115	26	better	well	ADJ
fcis-6020	115	27	.	.	PUNCT
fcis-6020	116	1	f1	f1	NOUN
fcis-6020	116	2	:	:	PUNCT
fcis-6020	116	3	the	the	DET
fcis-6020	116	4	sum	sum	NOUN
fcis-6020	116	5	of	of	ADP
fcis-6020	116	6	precision	precision	NOUN
fcis-6020	116	7	and	and	CCONJ
fcis-6020	116	8	recall	recall	NOUN
fcis-6020	116	9	.	.	PUNCT
fcis-6020	117	1	precision	precision	NOUN
fcis-6020	117	2	and	and	CCONJ
fcis-6020	117	3	recall	recall	NOUN
fcis-6020	117	4	affect	affect	VERB
fcis-6020	117	5	each	each	DET
fcis-6020	117	6	other	other	ADJ
fcis-6020	117	7	,	,	PUNCT
fcis-6020	117	8	and	and	CCONJ
fcis-6020	117	9	although	although	SCONJ
fcis-6020	117	10	a	a	DET
fcis-6020	117	11	high	high	ADJ
fcis-6020	117	12	level	level	NOUN
fcis-6020	117	13	of	of	ADP
fcis-6020	117	14	both	both	PRON
fcis-6020	117	15	is	be	AUX
fcis-6020	117	16	the	the	DET
fcis-6020	117	17	desired	desire	VERB
fcis-6020	117	18	ideal	ideal	NOUN
fcis-6020	117	19	,	,	PUNCT
fcis-6020	117	20	in	in	ADP
fcis-6020	117	21	practice	practice	NOUN
fcis-6020	117	22	,	,	PUNCT
fcis-6020	117	23	it	it	PRON
fcis-6020	117	24	is	be	AUX
fcis-6020	117	25	often	often	ADV
fcis-6020	117	26	the	the	DET
fcis-6020	117	27	case	case	NOUN
fcis-6020	117	28	that	that	SCONJ
fcis-6020	117	29	a	a	DET
fcis-6020	117	30	high	high	ADJ
fcis-6020	117	31	precision	precision	NOUN
fcis-6020	117	32	rate	rate	NOUN
fcis-6020	117	33	results	result	NOUN
fcis-6020	117	34	in	in	ADP
fcis-6020	117	35	a	a	DET
fcis-6020	117	36	low	low	ADJ
fcis-6020	117	37	recall	recall	NOUN
fcis-6020	117	38	rate	rate	NOUN
fcis-6020	117	39	,	,	PUNCT
fcis-6020	117	40	or	or	CCONJ
fcis-6020	117	41	a	a	DET
fcis-6020	117	42	low	low	ADJ
fcis-6020	117	43	recall	recall	NOUN
fcis-6020	117	44	rate	rate	NOUN
fcis-6020	117	45	results	result	NOUN
fcis-6020	117	46	in	in	ADP
fcis-6020	117	47	a	a	DET
fcis-6020	117	48	high	high	ADJ
fcis-6020	117	49	precision	precision	NOUN
fcis-6020	117	50	rate	rate	NOUN
fcis-6020	117	51	.	.	PUNCT
fcis-6020	118	1	if	if	SCONJ
fcis-6020	118	2	a	a	DET
fcis-6020	118	3	balance	balance	NOUN
fcis-6020	118	4	of	of	ADP
fcis-6020	118	5	both	both	PRON
fcis-6020	118	6	is	be	AUX
fcis-6020	118	7	needed	need	VERB
fcis-6020	118	8	,	,	PUNCT
fcis-6020	118	9	then	then	ADV
fcis-6020	118	10	the	the	DET
fcis-6020	118	11	f1	f1	PROPN
fcis-6020	118	12	metric	metric	NOUN
fcis-6020	118	13	can	can	AUX
fcis-6020	118	14	be	be	AUX
fcis-6020	118	15	used	use	VERB
fcis-6020	118	16	.	.	PUNCT
fcis-6020	119	1	34	34	NUM
fcis-6020	119	2	table	table	NOUN
fcis-6020	119	3	2	2	NUM
fcis-6020	119	4	.	.	PUNCT
fcis-6020	119	5	model	model	NOUN
fcis-6020	119	6	evaluation	evaluation	NOUN
fcis-6020	119	7	results	result	NOUN
fcis-6020	119	8	accuracy	accuracy	NOUN
fcis-6020	119	9	recall	recall	NOUN
fcis-6020	119	10	accuracy	accuracy	NOUN
fcis-6020	119	11	accuracy	accuracy	NOUN
fcis-6020	119	12	recall	recall	NOUN
fcis-6020	119	13	accuracy	accuracy	NOUN
fcis-6020	119	14	accuracy	accuracy	NOUN
fcis-6020	119	15	recall	recall	PROPN
fcis-6020	119	16	accuracy	accuracy	PROPN
fcis-6020	119	17	f1	f1	NOUN
fcis-6020	119	18	training	training	NOUN
fcis-6020	119	19	set	set	VERB
fcis-6020	119	20	1	1	NUM
fcis-6020	119	21	1	1	NUM
fcis-6020	119	22	1	1	NUM
fcis-6020	119	23	1	1	NUM
fcis-6020	119	24	test	test	NOUN
fcis-6020	119	25	set	set	VERB
fcis-6020	119	26	0.689	0.689	NUM
fcis-6020	119	27	0.689	0.689	NUM
fcis-6020	119	28	0.687	0.687	NUM
fcis-6020	119	29	0.687	0.687	NUM
fcis-6020	119	30	the	the	DET
fcis-6020	119	31	random	random	ADJ
fcis-6020	119	32	forest	forest	NOUN
fcis-6020	119	33	algorithm	algorithm	NOUN
fcis-6020	119	34	is	be	AUX
fcis-6020	119	35	a	a	DET
fcis-6020	119	36	highly	highly	ADV
fcis-6020	119	37	flexible	flexible	ADJ
fcis-6020	119	38	machine	machine	NOUN
fcis-6020	119	39	learning	learn	VERB
fcis-6020	119	40	algorithm	algorithm	NOUN
fcis-6020	119	41	proposed	propose	VERB
fcis-6020	119	42	by	by	ADP
fcis-6020	119	43	leo	leo	PROPN
fcis-6020	119	44	&	&	CCONJ
fcis-6020	119	45	culte	culte	PROPN
fcis-6020	119	46	et	et	PROPN
fcis-6020	119	47	al	al	PROPN
fcis-6020	119	48	.	.	PROPN
fcis-6020	120	1	in	in	ADP
fcis-6020	120	2	2001	2001	NUM
fcis-6020	120	3	,	,	PUNCT
fcis-6020	120	4	which	which	PRON
fcis-6020	120	5	is	be	AUX
fcis-6020	120	6	based	base	VERB
fcis-6020	120	7	on	on	ADP
fcis-6020	120	8	statistics	statistic	NOUN
fcis-6020	120	9	and	and	CCONJ
fcis-6020	120	10	combines	combine	VERB
fcis-6020	120	11	bagging	bag	VERB
fcis-6020	120	12	integrated	integrate	VERB
fcis-6020	120	13	learning	learning	NOUN
fcis-6020	120	14	theory	theory	NOUN
fcis-6020	120	15	and	and	CCONJ
fcis-6020	120	16	random	random	ADJ
fcis-6020	120	17	subspace	subspace	NOUN
fcis-6020	120	18	methods	method	NOUN
fcis-6020	120	19	.	.	PUNCT
fcis-6020	121	1	the	the	DET
fcis-6020	121	2	basic	basic	ADJ
fcis-6020	121	3	idea	idea	NOUN
fcis-6020	121	4	is	be	AUX
fcis-6020	121	5	to	to	PART
fcis-6020	121	6	set	set	VERB
fcis-6020	121	7	many	many	ADJ
fcis-6020	121	8	weak	weak	ADJ
fcis-6020	121	9	classifiers	classifier	NOUN
fcis-6020	121	10	into	into	ADP
fcis-6020	121	11	one	one	NUM
fcis-6020	121	12	strong	strong	ADJ
fcis-6020	121	13	classifier	classifier	NOUN
fcis-6020	121	14	.	.	PUNCT
fcis-6020	122	1	the	the	DET
fcis-6020	122	2	random	random	ADJ
fcis-6020	122	3	forest	forest	NOUN
fcis-6020	122	4	consists	consist	VERB
fcis-6020	122	5	of	of	ADP
fcis-6020	122	6	several	several	ADJ
fcis-6020	122	7	classification	classification	NOUN
fcis-6020	122	8	trees	tree	NOUN
fcis-6020	122	9	,	,	PUNCT
fcis-6020	122	10	each	each	PRON
fcis-6020	122	11	corresponding	correspond	VERB
fcis-6020	122	12	to	to	ADP
fcis-6020	122	13	a	a	DET
fcis-6020	122	14	different	different	ADJ
fcis-6020	122	15	training	training	NOUN
fcis-6020	122	16	subset	subset	NOUN
fcis-6020	122	17	.	.	PUNCT
fcis-6020	123	1	each	each	DET
fcis-6020	123	2	training	training	NOUN
fcis-6020	123	3	subset	subset	VERB
fcis-6020	123	4	consists	consist	VERB
fcis-6020	123	5	of	of	ADP
fcis-6020	123	6	multiple	multiple	ADJ
fcis-6020	123	7	random	random	ADJ
fcis-6020	123	8	samples	sample	NOUN
fcis-6020	123	9	of	of	ADP
fcis-6020	123	10	the	the	DET
fcis-6020	123	11	training	training	NOUN
fcis-6020	123	12	set	set	VERB
fcis-6020	123	13	with	with	ADP
fcis-6020	123	14	put	put	NOUN
fcis-6020	123	15	-	-	PUNCT
fcis-6020	123	16	back	back	NOUN
fcis-6020	123	17	by	by	ADP
fcis-6020	123	18	the	the	DET
fcis-6020	123	19	bootstrap	bootstrap	NOUN
fcis-6020	123	20	sampling	sample	VERB
fcis-6020	123	21	method	method	NOUN
fcis-6020	123	22	.	.	PUNCT
fcis-6020	124	1	the	the	DET
fcis-6020	124	2	k	k	PROPN
fcis-6020	124	3	trees	tree	NOUN
fcis-6020	124	4	are	be	AUX
fcis-6020	124	5	constructed	construct	VERB
fcis-6020	124	6	as	as	ADP
fcis-6020	124	7	described	describe	VERB
fcis-6020	124	8	above	above	ADV
fcis-6020	124	9	,	,	PUNCT
fcis-6020	124	10	and	and	CCONJ
fcis-6020	124	11	these	these	DET
fcis-6020	124	12	decision	decision	NOUN
fcis-6020	124	13	trees	tree	NOUN
fcis-6020	124	14	are	be	AUX
fcis-6020	124	15	grouped	group	VERB
fcis-6020	124	16	together	together	ADV
fcis-6020	124	17	to	to	PART
fcis-6020	124	18	form	form	VERB
fcis-6020	124	19	a	a	DET
fcis-6020	124	20	random	random	ADJ
fcis-6020	124	21	forest	forest	NOUN
fcis-6020	124	22	.	.	PUNCT
fcis-6020	125	1	the	the	DET
fcis-6020	125	2	random	random	ADJ
fcis-6020	125	3	forest	forest	NOUN
fcis-6020	125	4	contains	contain	VERB
fcis-6020	125	5	a	a	DET
fcis-6020	125	6	second	second	ADJ
fcis-6020	125	7	level	level	NOUN
fcis-6020	125	8	of	of	ADP
fcis-6020	125	9	randomness	randomness	NOUN
fcis-6020	125	10	,	,	PUNCT
fcis-6020	125	11	where	where	SCONJ
fcis-6020	125	12	m	m	PROPN
fcis-6020	125	13	values	value	NOUN
fcis-6020	125	14	are	be	AUX
fcis-6020	125	15	randomly	randomly	ADV
fcis-6020	125	16	selected	select	VERB
fcis-6020	125	17	from	from	ADP
fcis-6020	125	18	all	all	DET
fcis-6020	125	19	the	the	DET
fcis-6020	125	20	feature	feature	NOUN
fcis-6020	125	21	input	input	NOUN
fcis-6020	125	22	values	value	NOUN
fcis-6020	125	23	m	m	VERB
fcis-6020	125	24	to	to	PART
fcis-6020	125	25	construct	construct	VERB
fcis-6020	125	26	each	each	DET
fcis-6020	125	27	decision	decision	NOUN
fcis-6020	125	28	tree	tree	NOUN
fcis-6020	125	29	;	;	PUNCT
fcis-6020	125	30	from	from	ADP
fcis-6020	125	31	these	these	DET
fcis-6020	125	32	m	m	NOUN
fcis-6020	125	33	values	value	NOUN
fcis-6020	125	34	,	,	PUNCT
fcis-6020	125	35	each	each	DET
fcis-6020	125	36	segmentation	segmentation	NOUN
fcis-6020	125	37	node	node	NOUN
fcis-6020	125	38	is	be	AUX
fcis-6020	125	39	selected	select	VERB
fcis-6020	125	40	for	for	ADP
fcis-6020	125	41	optimization	optimization	NOUN
fcis-6020	125	42	according	accord	VERB
fcis-6020	125	43	to	to	ADP
fcis-6020	125	44	the	the	DET
fcis-6020	125	45	principle	principle	NOUN
fcis-6020	125	46	of	of	ADP
fcis-6020	125	47	minimizing	minimize	VERB
fcis-6020	125	48	the	the	DET
fcis-6020	125	49	gini	gini	PROPN
fcis-6020	125	50	coefficient	coefficient	NOUN
fcis-6020	125	51	,	,	PUNCT
fcis-6020	125	52	thus	thus	ADV
fcis-6020	125	53	reducing	reduce	VERB
fcis-6020	125	54	correlation	correlation	NOUN
fcis-6020	125	55	and	and	CCONJ
fcis-6020	125	56	improving	improve	VERB
fcis-6020	125	57	predictive	predictive	ADJ
fcis-6020	125	58	power	power	NOUN
fcis-6020	125	59	.	.	PUNCT
fcis-6020	126	1	the	the	DET
fcis-6020	126	2	random	random	ADJ
fcis-6020	126	3	forest	forest	NOUN
fcis-6020	126	4	simulation	simulation	NOUN
fcis-6020	126	5	process	process	NOUN
fcis-6020	126	6	does	do	AUX
fcis-6020	126	7	not	not	PART
fcis-6020	126	8	perform	perform	VERB
fcis-6020	126	9	the	the	DET
fcis-6020	126	10	pruning	pruning	NOUN
fcis-6020	126	11	process	process	NOUN
fcis-6020	126	12	as	as	ADP
fcis-6020	126	13	in	in	ADP
fcis-6020	126	14	the	the	DET
fcis-6020	126	15	decision	decision	NOUN
fcis-6020	126	16	tree	tree	NOUN
fcis-6020	126	17	.	.	PUNCT
fcis-6020	127	1	k	k	PROPN
fcis-6020	127	2	predictors	predictor	NOUN
fcis-6020	127	3	are	be	AUX
fcis-6020	127	4	obtained	obtain	VERB
fcis-6020	127	5	,	,	PUNCT
fcis-6020	127	6	and	and	CCONJ
fcis-6020	127	7	each	each	DET
fcis-6020	127	8	predictor	predictor	NOUN
fcis-6020	127	9	makes	make	VERB
fcis-6020	127	10	one	one	NUM
fcis-6020	127	11	prediction	prediction	NOUN
fcis-6020	127	12	,	,	PUNCT
fcis-6020	127	13	and	and	CCONJ
fcis-6020	127	14	finally	finally	ADV
fcis-6020	127	15	the	the	DET
fcis-6020	127	16	predictions	prediction	NOUN
fcis-6020	127	17	are	be	AUX
fcis-6020	127	18	aggregated	aggregate	VERB
fcis-6020	127	19	and	and	CCONJ
fcis-6020	127	20	the	the	DET
fcis-6020	127	21	average	average	NOUN
fcis-6020	127	22	is	be	AUX
fcis-6020	127	23	calculated	calculate	VERB
fcis-6020	127	24	.	.	PUNCT
fcis-6020	128	1	the	the	DET
fcis-6020	128	2	overall	overall	ADJ
fcis-6020	128	3	vector	vector	NOUN
fcis-6020	128	4	space	space	NOUN
fcis-6020	128	5	is	be	AUX
fcis-6020	128	6	divided	divide	VERB
fcis-6020	128	7	into	into	ADP
fcis-6020	128	8	smaller	small	ADJ
fcis-6020	128	9	spaces	space	NOUN
fcis-6020	128	10	by	by	ADP
fcis-6020	128	11	building	build	VERB
fcis-6020	128	12	individual	individual	ADJ
fcis-6020	128	13	decision	decision	NOUN
fcis-6020	128	14	trees	tree	NOUN
fcis-6020	128	15	,	,	PUNCT
fcis-6020	128	16	and	and	CCONJ
fcis-6020	128	17	the	the	DET
fcis-6020	128	18	extracted	extract	VERB
fcis-6020	128	19	decision	decision	NOUN
fcis-6020	128	20	trees	tree	NOUN
fcis-6020	128	21	are	be	AUX
fcis-6020	128	22	used	use	VERB
fcis-6020	128	23	as	as	ADP
fcis-6020	128	24	the	the	DET
fcis-6020	128	25	training	training	NOUN
fcis-6020	128	26	set	set	NOUN
fcis-6020	128	27	.	.	PUNCT
fcis-6020	129	1	the	the	DET
fcis-6020	129	2	set	set	NOUN
fcis-6020	129	3	of	of	ADP
fcis-6020	129	4	samples	sample	NOUN
fcis-6020	129	5	that	that	PRON
fcis-6020	129	6	are	be	AUX
fcis-6020	129	7	not	not	PART
fcis-6020	129	8	extracted	extract	VERB
fcis-6020	129	9	is	be	AUX
fcis-6020	129	10	called	call	VERB
fcis-6020	129	11	out	out	ADP
fcis-6020	129	12	-	-	PUNCT
fcis-6020	129	13	ofbag	ofbag	NOUN
fcis-6020	129	14	(	(	PUNCT
fcis-6020	129	15	oob	oob	NOUN
fcis-6020	129	16	)	)	PUNCT
fcis-6020	129	17	data	datum	NOUN
fcis-6020	129	18	and	and	CCONJ
fcis-6020	129	19	is	be	AUX
fcis-6020	129	20	used	use	VERB
fcis-6020	129	21	as	as	ADP
fcis-6020	129	22	the	the	DET
fcis-6020	129	23	validation	validation	NOUN
fcis-6020	129	24	set	set	NOUN
fcis-6020	129	25	.	.	PUNCT
fcis-6020	130	1	the	the	DET
fcis-6020	130	2	best	good	ADJ
fcis-6020	130	3	branch	branch	NOUN
fcis-6020	130	4	is	be	AUX
fcis-6020	130	5	found	find	VERB
fcis-6020	130	6	by	by	ADP
fcis-6020	130	7	randomly	randomly	ADV
fcis-6020	130	8	selecting	select	VERB
fcis-6020	130	9	less	less	ADJ
fcis-6020	130	10	than	than	ADP
fcis-6020	130	11	p	p	NOUN
fcis-6020	130	12	alternative	alternative	ADJ
fcis-6020	130	13	branches	branch	NOUN
fcis-6020	130	14	within	within	ADP
fcis-6020	130	15	each	each	DET
fcis-6020	130	16	decision	decision	NOUN
fcis-6020	130	17	tree	tree	NOUN
fcis-6020	130	18	of	of	ADP
fcis-6020	130	19	the	the	DET
fcis-6020	130	20	original	original	ADJ
fcis-6020	130	21	data	datum	NOUN
fcis-6020	130	22	set	set	VERB
fcis-6020	130	23	.	.	PUNCT
fcis-6020	131	1	by	by	ADP
fcis-6020	131	2	adjusting	adjust	VERB
fcis-6020	131	3	the	the	DET
fcis-6020	131	4	size	size	NOUN
fcis-6020	131	5	of	of	ADP
fcis-6020	131	6	the	the	DET
fcis-6020	131	7	leaf	leaf	NOUN
fcis-6020	131	8	branches	branch	NOUN
fcis-6020	131	9	,	,	PUNCT
fcis-6020	131	10	the	the	DET
fcis-6020	131	11	tree	tree	NOUN
fcis-6020	131	12	is	be	AUX
fcis-6020	131	13	stopped	stop	VERB
fcis-6020	131	14	when	when	SCONJ
fcis-6020	131	15	it	it	PRON
fcis-6020	131	16	reaches	reach	VERB
fcis-6020	131	17	4	4	NUM
fcis-6020	131	18	splits	split	NOUN
fcis-6020	131	19	.	.	PUNCT
fcis-6020	132	1	the	the	DET
fcis-6020	132	2	growth	growth	NOUN
fcis-6020	132	3	of	of	ADP
fcis-6020	132	4	the	the	DET
fcis-6020	132	5	decision	decision	NOUN
fcis-6020	132	6	tree	tree	NOUN
fcis-6020	132	7	is	be	AUX
fcis-6020	132	8	controlled	control	VERB
fcis-6020	132	9	by	by	ADP
fcis-6020	132	10	adjusting	adjust	VERB
fcis-6020	132	11	the	the	DET
fcis-6020	132	12	size	size	NOUN
fcis-6020	132	13	of	of	ADP
fcis-6020	132	14	the	the	DET
fcis-6020	132	15	leaf	leaf	NOUN
fcis-6020	132	16	branches	branch	NOUN
fcis-6020	132	17	and	and	CCONJ
fcis-6020	132	18	stopping	stop	VERB
fcis-6020	132	19	the	the	DET
fcis-6020	132	20	formation	formation	NOUN
fcis-6020	132	21	of	of	ADP
fcis-6020	132	22	a	a	DET
fcis-6020	132	23	single	single	ADJ
fcis-6020	132	24	decision	decision	NOUN
fcis-6020	132	25	tree	tree	NOUN
fcis-6020	132	26	when	when	SCONJ
fcis-6020	132	27	it	it	PRON
fcis-6020	132	28	reaches	reach	VERB
fcis-6020	132	29	4	4	NUM
fcis-6020	132	30	splits	split	NOUN
fcis-6020	132	31	.	.	PUNCT
fcis-6020	133	1	a	a	DET
fcis-6020	133	2	combinatorial	combinatorial	ADJ
fcis-6020	133	3	model	model	NOUN
fcis-6020	133	4	of	of	ADP
fcis-6020	133	5	the	the	DET
fcis-6020	133	6	random	random	ADJ
fcis-6020	133	7	forest	forest	NOUN
fcis-6020	133	8	algorithm	algorithm	NOUN
fcis-6020	133	9	is	be	AUX
fcis-6020	133	10	generated	generate	VERB
fcis-6020	133	11	according	accord	VERB
fcis-6020	133	12	to	to	ADP
fcis-6020	133	13	certain	certain	ADJ
fcis-6020	133	14	rules	rule	NOUN
fcis-6020	133	15	.	.	PUNCT
fcis-6020	134	1	figure	figure	VERB
fcis-6020	134	2	11	11	NUM
fcis-6020	134	3	.	.	PUNCT
fcis-6020	135	1	random	random	ADJ
fcis-6020	135	2	forest	forest	NOUN
fcis-6020	135	3	model	model	NOUN
fcis-6020	135	4	structure	structure	NOUN
fcis-6020	135	5	diagram	diagram	NOUN
fcis-6020	135	6	when	when	SCONJ
fcis-6020	135	7	studying	study	VERB
fcis-6020	135	8	machine	machine	NOUN
fcis-6020	135	9	learning	learning	NOUN
fcis-6020	135	10	,	,	PUNCT
fcis-6020	135	11	we	we	PRON
fcis-6020	135	12	expect	expect	VERB
fcis-6020	135	13	new	new	ADJ
fcis-6020	135	14	,	,	PUNCT
fcis-6020	135	15	neverbefore	neverbefore	ADV
fcis-6020	135	16	-	-	PUNCT
fcis-6020	135	17	seen	see	VERB
fcis-6020	135	18	material	material	NOUN
fcis-6020	135	19	that	that	PRON
fcis-6020	135	20	has	have	AUX
fcis-6020	135	21	been	be	AUX
fcis-6020	135	22	trained	train	VERB
fcis-6020	135	23	to	to	PART
fcis-6020	135	24	yield	yield	VERB
fcis-6020	135	25	good	good	ADJ
fcis-6020	135	26	results	result	NOUN
fcis-6020	135	27	.	.	PUNCT
fcis-6020	136	1	to	to	PART
fcis-6020	136	2	simulate	simulate	VERB
fcis-6020	136	3	the	the	DET
fcis-6020	136	4	new	new	ADJ
fcis-6020	136	5	,	,	PUNCT
fcis-6020	136	6	unseen	unseen	ADJ
fcis-6020	136	7	material	material	NOUN
fcis-6020	136	8	,	,	PUNCT
fcis-6020	136	9	the	the	DET
fcis-6020	136	10	already	already	ADV
fcis-6020	136	11	existing	exist	VERB
fcis-6020	136	12	material	material	NOUN
fcis-6020	136	13	is	be	AUX
fcis-6020	136	14	divided	divide	VERB
fcis-6020	136	15	into	into	ADP
fcis-6020	136	16	two	two	NUM
fcis-6020	136	17	blocks	block	NOUN
fcis-6020	136	18	(	(	PUNCT
fcis-6020	136	19	sometimes	sometimes	ADV
fcis-6020	136	20	called	call	VERB
fcis-6020	136	21	the	the	DET
fcis-6020	136	22	training	training	NOUN
fcis-6020	136	23	-	-	PUNCT
fcis-6020	136	24	testing	testing	NOUN
fcis-6020	136	25	area	area	NOUN
fcis-6020	136	26	)	)	PUNCT
fcis-6020	136	27	.	.	PUNCT
fcis-6020	137	1	specifically	specifically	ADV
fcis-6020	137	2	,	,	PUNCT
fcis-6020	137	3	said	say	VERB
fcis-6020	137	4	first	first	ADJ
fcis-6020	137	5	component	component	NOUN
fcis-6020	137	6	is	be	AUX
fcis-6020	137	7	a	a	DET
fcis-6020	137	8	subset	subset	NOUN
fcis-6020	137	9	of	of	ADP
fcis-6020	137	10	the	the	DET
fcis-6020	137	11	larger	large	ADJ
fcis-6020	137	12	data	datum	NOUN
fcis-6020	137	13	(	(	PUNCT
fcis-6020	137	14	e.g.	e.g.	ADV
fcis-6020	137	15	,	,	PUNCT
fcis-6020	137	16	80	80	NUM
fcis-6020	137	17	%	%	NOUN
fcis-6020	137	18	of	of	ADP
fcis-6020	137	19	the	the	DET
fcis-6020	137	20	initial	initial	ADJ
fcis-6020	137	21	data	datum	NOUN
fcis-6020	137	22	)	)	PUNCT
fcis-6020	137	23	,	,	PUNCT
fcis-6020	137	24	while	while	SCONJ
fcis-6020	137	25	said	say	VERB
fcis-6020	137	26	second	second	ADJ
fcis-6020	137	27	component	component	NOUN
fcis-6020	137	28	is	be	AUX
fcis-6020	137	29	typically	typically	ADV
fcis-6020	137	30	a	a	DET
fcis-6020	137	31	much	much	ADV
fcis-6020	137	32	smaller	small	ADJ
fcis-6020	137	33	subset	subset	NOUN
fcis-6020	137	34	(	(	PUNCT
fcis-6020	137	35	the	the	DET
fcis-6020	137	36	remaining	remain	VERB
fcis-6020	137	37	20	20	NUM
fcis-6020	137	38	%	%	NOUN
fcis-6020	137	39	of	of	ADP
fcis-6020	137	40	the	the	DET
fcis-6020	137	41	data	datum	NOUN
fcis-6020	137	42	)	)	PUNCT
fcis-6020	137	43	.	.	PUNCT
fcis-6020	138	1	it	it	PRON
fcis-6020	138	2	is	be	AUX
fcis-6020	138	3	important	important	ADJ
fcis-6020	138	4	to	to	PART
fcis-6020	138	5	note	note	VERB
fcis-6020	138	6	that	that	SCONJ
fcis-6020	138	7	such	such	DET
fcis-6020	138	8	a	a	DET
fcis-6020	138	9	splitting	splitting	NOUN
fcis-6020	138	10	of	of	ADP
fcis-6020	138	11	the	the	DET
fcis-6020	138	12	data	datum	NOUN
fcis-6020	138	13	can	can	AUX
fcis-6020	138	14	be	be	AUX
fcis-6020	138	15	performed	perform	VERB
fcis-6020	138	16	only	only	ADV
fcis-6020	138	17	once	once	ADV
fcis-6020	138	18	.	.	PUNCT
fcis-6020	139	1	next	next	ADV
fcis-6020	139	2	,	,	PUNCT
fcis-6020	139	3	this	this	DET
fcis-6020	139	4	training	training	NOUN
fcis-6020	139	5	set	set	NOUN
fcis-6020	139	6	is	be	AUX
fcis-6020	139	7	used	use	VERB
fcis-6020	139	8	to	to	PART
fcis-6020	139	9	construct	construct	VERB
fcis-6020	139	10	a	a	DET
fcis-6020	139	11	forecast	forecast	NOUN
fcis-6020	139	12	model	model	NOUN
fcis-6020	139	13	and	and	CCONJ
fcis-6020	139	14	the	the	DET
fcis-6020	139	15	model	model	NOUN
fcis-6020	139	16	is	be	AUX
fcis-6020	139	17	used	use	VERB
fcis-6020	139	18	for	for	ADP
fcis-6020	139	19	the	the	DET
fcis-6020	139	20	test	test	NOUN
fcis-6020	139	21	set	set	NOUN
fcis-6020	139	22	(	(	PUNCT
fcis-6020	139	23	i.e.	i.e.	X
fcis-6020	139	24	,	,	PUNCT
fcis-6020	139	25	new	new	ADJ
fcis-6020	139	26	information	information	NOUN
fcis-6020	139	27	that	that	PRON
fcis-6020	139	28	has	have	AUX
fcis-6020	139	29	not	not	PART
fcis-6020	139	30	been	be	AUX
fcis-6020	139	31	seen	see	VERB
fcis-6020	139	32	)	)	PUNCT
fcis-6020	139	33	.	.	PUNCT
fcis-6020	140	1	by	by	ADP
fcis-6020	140	2	examining	examine	VERB
fcis-6020	140	3	its	its	PRON
fcis-6020	140	4	performance	performance	NOUN
fcis-6020	140	5	,	,	PUNCT
fcis-6020	140	6	an	an	DET
fcis-6020	140	7	optimal	optimal	ADJ
fcis-6020	140	8	model	model	NOUN
fcis-6020	140	9	was	be	AUX
fcis-6020	140	10	selected	select	VERB
fcis-6020	140	11	and	and	CCONJ
fcis-6020	140	12	optimized	optimize	VERB
fcis-6020	140	13	in	in	ADP
fcis-6020	140	14	terms	term	NOUN
fcis-6020	140	15	of	of	ADP
fcis-6020	140	16	hyperparameters	hyperparameter	NOUN
fcis-6020	140	17	,	,	PUNCT
fcis-6020	140	18	and	and	CCONJ
fcis-6020	140	19	a	a	DET
fcis-6020	140	20	better	well	ADJ
fcis-6020	140	21	mathematical	mathematical	ADJ
fcis-6020	140	22	model	model	NOUN
fcis-6020	140	23	was	be	AUX
fcis-6020	140	24	obtained	obtain	VERB
fcis-6020	140	25	.	.	PUNCT
fcis-6020	141	1	a	a	DET
fcis-6020	141	2	mixing	mix	VERB
fcis-6020	141	3	matrix	matrix	NOUN
fcis-6020	141	4	is	be	AUX
fcis-6020	141	5	shown	show	VERB
fcis-6020	141	6	below	below	ADP
fcis-6020	141	7	,	,	PUNCT
fcis-6020	141	8	where	where	SCONJ
fcis-6020	141	9	all	all	DET
fcis-6020	141	10	samples	sample	NOUN
fcis-6020	141	11	are	be	AUX
fcis-6020	141	12	divided	divide	VERB
fcis-6020	141	13	into	into	ADP
fcis-6020	141	14	p	p	PROPN
fcis-6020	141	15	(	(	PUNCT
fcis-6020	141	16	marked	mark	VERB
fcis-6020	141	17	as	as	ADP
fcis-6020	141	18	positive	positive	ADJ
fcis-6020	141	19	)	)	PUNCT
fcis-6020	141	20	and	and	CCONJ
fcis-6020	141	21	n	n	CCONJ
fcis-6020	141	22	(	(	PUNCT
fcis-6020	141	23	marked	mark	VERB
fcis-6020	141	24	as	as	ADP
fcis-6020	141	25	negative	negative	ADJ
fcis-6020	141	26	)	)	PUNCT
fcis-6020	141	27	,	,	PUNCT
fcis-6020	141	28	and	and	CCONJ
fcis-6020	141	29	samples	sample	NOUN
fcis-6020	141	30	that	that	PRON
fcis-6020	141	31	remain	remain	VERB
fcis-6020	141	32	positive	positive	ADJ
fcis-6020	141	33	(	(	PUNCT
fcis-6020	141	34	tp	tp	NOUN
fcis-6020	141	35	)	)	PUNCT
fcis-6020	141	36	after	after	ADP
fcis-6020	141	37	prediction	prediction	NOUN
fcis-6020	141	38	by	by	ADP
fcis-6020	141	39	the	the	DET
fcis-6020	141	40	model	model	NOUN
fcis-6020	141	41	are	be	AUX
fcis-6020	141	42	called	call	VERB
fcis-6020	141	43	false	false	ADJ
fcis-6020	141	44	positive	positive	ADJ
fcis-6020	141	45	(	(	PUNCT
fcis-6020	141	46	fp	fp	NOUN
fcis-6020	141	47	)	)	PUNCT
fcis-6020	141	48	if	if	SCONJ
fcis-6020	141	49	they	they	PRON
fcis-6020	141	50	are	be	AUX
fcis-6020	141	51	predicted	predict	VERB
fcis-6020	141	52	to	to	PART
fcis-6020	141	53	be	be	AUX
fcis-6020	141	54	negative	negative	ADJ
fcis-6020	141	55	(	(	PUNCT
fcis-6020	141	56	fp	fp	NOUN
fcis-6020	141	57	)	)	PUNCT
fcis-6020	141	58	,	,	PUNCT
fcis-6020	141	59	and	and	CCONJ
fcis-6020	141	60	if	if	SCONJ
fcis-6020	141	61	they	they	PRON
fcis-6020	141	62	are	be	AUX
fcis-6020	141	63	predicted	predict	VERB
fcis-6020	141	64	to	to	PART
fcis-6020	141	65	be	be	AUX
fcis-6020	141	66	negative	negative	ADJ
fcis-6020	141	67	(	(	PUNCT
fcis-6020	141	68	fp	fp	NOUN
fcis-6020	141	69	)	)	PUNCT
fcis-6020	141	70	.	.	PUNCT
fcis-6020	142	1	the	the	DET
fcis-6020	142	2	sample	sample	NOUN
fcis-6020	142	3	with	with	ADP
fcis-6020	142	4	negative	negative	ADJ
fcis-6020	142	5	prediction	prediction	NOUN
fcis-6020	142	6	is	be	AUX
fcis-6020	142	7	called	call	VERB
fcis-6020	142	8	"	"	PUNCT
fcis-6020	142	9	tn	tn	NOUN
fcis-6020	142	10	"	"	PUNCT
fcis-6020	142	11	,	,	PUNCT
fcis-6020	142	12	while	while	SCONJ
fcis-6020	142	13	the	the	DET
fcis-6020	142	14	prediction	prediction	NOUN
fcis-6020	142	15	for	for	ADP
fcis-6020	142	16	"	"	PUNCT
fcis-6020	142	17	fn	fn	NOUN
fcis-6020	142	18	"	"	PUNCT
fcis-6020	142	19	is	be	AUX
fcis-6020	142	20	"	"	PUNCT
fcis-6020	142	21	fn	fn	NOUN
fcis-6020	142	22	"	"	PUNCT
fcis-6020	142	23	,	,	PUNCT
fcis-6020	142	24	so	so	SCONJ
fcis-6020	142	25	that	that	SCONJ
fcis-6020	142	26	after	after	ADP
fcis-6020	142	27	the	the	DET
fcis-6020	142	28	model	model	NOUN
fcis-6020	142	29	prediction	prediction	NOUN
fcis-6020	142	30	,	,	PUNCT
fcis-6020	142	31	there	there	PRON
fcis-6020	142	32	will	will	AUX
fcis-6020	142	33	be	be	AUX
fcis-6020	142	34	p=	p=	ADJ
fcis-6020	142	35	tp+	tp+	ADJ
fcis-6020	142	36	fn	fn	NOUN
fcis-6020	142	37	,	,	PUNCT
fcis-6020	142	38	n=	n=	ADJ
fcis-6020	142	39	fp	fp	NUM
fcis-6020	142	40	tp+	tp+	PROPN
fcis-6020	142	41	fn	fn	PROPN
fcis-6020	142	42	,	,	PUNCT
fcis-6020	142	43	n=	n=	ADJ
fcis-6020	142	44	fp+	fp+	PROPN
fcis-6020	142	45	tn	tn	PROPN
fcis-6020	142	46	.	.	PUNCT
fcis-6020	142	47	figure	figure	NOUN
fcis-6020	142	48	12	12	NUM
fcis-6020	142	49	.	.	PUNCT
fcis-6020	143	1	feature	feature	NOUN
fcis-6020	143	2	importance	importance	NOUN
fcis-6020	143	3	figure	figure	NOUN
fcis-6020	143	4	13	13	NUM
fcis-6020	143	5	.	.	PUNCT
fcis-6020	144	1	feature	feature	NOUN
fcis-6020	144	2	importance	importance	NOUN
fcis-6020	144	3	the	the	DET
fcis-6020	144	4	below	below	ADJ
fcis-6020	144	5	table	table	NOUN
fcis-6020	144	6	shows	show	VERB
fcis-6020	144	7	the	the	DET
fcis-6020	144	8	classification	classification	NOUN
fcis-6020	144	9	evaluation	evaluation	NOUN
fcis-6020	144	10	metrics	metric	NOUN
fcis-6020	144	11	for	for	ADP
fcis-6020	144	12	the	the	DET
fcis-6020	144	13	training	training	NOUN
fcis-6020	144	14	and	and	CCONJ
fcis-6020	144	15	test	test	NOUN
fcis-6020	144	16	sets	set	NOUN
fcis-6020	144	17	,	,	PUNCT
fcis-6020	144	18	and	and	CCONJ
fcis-6020	144	19	the	the	DET
fcis-6020	144	20	quantitative	quantitative	ADJ
fcis-6020	144	21	metrics	metric	NOUN
fcis-6020	144	22	are	be	AUX
fcis-6020	144	23	used	use	VERB
fcis-6020	144	24	to	to	PART
fcis-6020	144	25	measure	measure	VERB
fcis-6020	144	26	the	the	DET
fcis-6020	144	27	classification	classification	NOUN
fcis-6020	144	28	effectiveness	effectiveness	NOUN
fcis-6020	144	29	of	of	ADP
fcis-6020	144	30	the	the	DET
fcis-6020	144	31	35	35	NUM
fcis-6020	144	32	decision	decision	NOUN
fcis-6020	144	33	tree	tree	NOUN
fcis-6020	144	34	on	on	ADP
fcis-6020	144	35	the	the	DET
fcis-6020	144	36	training	training	NOUN
fcis-6020	144	37	and	and	CCONJ
fcis-6020	144	38	test	test	NOUN
fcis-6020	144	39	data	datum	NOUN
fcis-6020	144	40	.	.	PUNCT
fcis-6020	145	1	●	●	PUNCT
fcis-6020	145	2	accuracy	accuracy	NOUN
fcis-6020	145	3	:	:	PUNCT
fcis-6020	145	4	the	the	DET
fcis-6020	145	5	proportion	proportion	NOUN
fcis-6020	145	6	of	of	ADP
fcis-6020	145	7	correctly	correctly	ADV
fcis-6020	145	8	predicted	predict	VERB
fcis-6020	145	9	samples	sample	NOUN
fcis-6020	145	10	to	to	ADP
fcis-6020	145	11	the	the	DET
fcis-6020	145	12	total	total	ADJ
fcis-6020	145	13	samples	sample	NOUN
fcis-6020	145	14	,	,	PUNCT
fcis-6020	145	15	the	the	PRON
fcis-6020	145	16	larger	large	ADJ
fcis-6020	145	17	the	the	DET
fcis-6020	145	18	accuracy	accuracy	NOUN
fcis-6020	145	19	,	,	PUNCT
fcis-6020	145	20	the	the	PRON
fcis-6020	145	21	better	well	ADJ
fcis-6020	145	22	.	.	PUNCT
fcis-6020	146	1	●	●	PUNCT
fcis-6020	146	2	recall	recall	NOUN
fcis-6020	146	3	rate	rate	NOUN
fcis-6020	146	4	:	:	PUNCT
fcis-6020	146	5	the	the	DET
fcis-6020	146	6	proportion	proportion	NOUN
fcis-6020	146	7	of	of	ADP
fcis-6020	146	8	predicted	predict	VERB
fcis-6020	146	9	positive	positive	ADJ
fcis-6020	146	10	samples	sample	NOUN
fcis-6020	146	11	out	out	ADP
fcis-6020	146	12	of	of	ADP
fcis-6020	146	13	the	the	DET
fcis-6020	146	14	actual	actual	ADJ
fcis-6020	146	15	positive	positive	ADJ
fcis-6020	146	16	samples	sample	NOUN
fcis-6020	146	17	,	,	PUNCT
fcis-6020	146	18	the	the	PRON
fcis-6020	146	19	larger	large	ADJ
fcis-6020	146	20	the	the	DET
fcis-6020	146	21	recall	recall	NOUN
fcis-6020	146	22	rate	rate	NOUN
fcis-6020	146	23	,	,	PUNCT
fcis-6020	146	24	the	the	PRON
fcis-6020	146	25	better	well	ADJ
fcis-6020	146	26	.	.	PUNCT
fcis-6020	147	1	●	●	PUNCT
fcis-6020	147	2	precision	precision	NOUN
fcis-6020	147	3	rate	rate	NOUN
fcis-6020	147	4	:	:	PUNCT
fcis-6020	147	5	the	the	DET
fcis-6020	147	6	proportion	proportion	NOUN
fcis-6020	147	7	of	of	ADP
fcis-6020	147	8	the	the	DET
fcis-6020	147	9	predicted	predict	VERB
fcis-6020	147	10	positive	positive	ADJ
fcis-6020	147	11	samples	sample	NOUN
fcis-6020	147	12	to	to	ADP
fcis-6020	147	13	the	the	DET
fcis-6020	147	14	actual	actual	ADJ
fcis-6020	147	15	positive	positive	ADJ
fcis-6020	147	16	samples	sample	NOUN
fcis-6020	147	17	,	,	PUNCT
fcis-6020	147	18	and	and	CCONJ
fcis-6020	147	19	the	the	PRON
fcis-6020	147	20	larger	large	ADJ
fcis-6020	147	21	the	the	DET
fcis-6020	147	22	precision	precision	NOUN
fcis-6020	147	23	rate	rate	NOUN
fcis-6020	147	24	,	,	PUNCT
fcis-6020	147	25	the	the	DET
fcis-6020	147	26	better	well	ADJ
fcis-6020	147	27	.	.	PUNCT
fcis-6020	148	1	f1	f1	NOUN
fcis-6020	148	2	:	:	PUNCT
fcis-6020	148	3	the	the	DET
fcis-6020	148	4	sum	sum	NOUN
fcis-6020	148	5	of	of	ADP
fcis-6020	148	6	precision	precision	NOUN
fcis-6020	148	7	and	and	CCONJ
fcis-6020	148	8	recall	recall	NOUN
fcis-6020	148	9	.	.	PUNCT
fcis-6020	149	1	precision	precision	NOUN
fcis-6020	149	2	and	and	CCONJ
fcis-6020	149	3	recall	recall	NOUN
fcis-6020	149	4	affect	affect	VERB
fcis-6020	149	5	each	each	DET
fcis-6020	149	6	other	other	ADJ
fcis-6020	149	7	,	,	PUNCT
fcis-6020	149	8	and	and	CCONJ
fcis-6020	149	9	although	although	SCONJ
fcis-6020	149	10	a	a	DET
fcis-6020	149	11	high	high	ADJ
fcis-6020	149	12	level	level	NOUN
fcis-6020	149	13	of	of	ADP
fcis-6020	149	14	both	both	PRON
fcis-6020	149	15	is	be	AUX
fcis-6020	149	16	the	the	DET
fcis-6020	149	17	desired	desire	VERB
fcis-6020	149	18	ideal	ideal	NOUN
fcis-6020	149	19	,	,	PUNCT
fcis-6020	149	20	in	in	ADP
fcis-6020	149	21	practice	practice	NOUN
fcis-6020	149	22	,	,	PUNCT
fcis-6020	149	23	it	it	PRON
fcis-6020	149	24	is	be	AUX
fcis-6020	149	25	often	often	ADV
fcis-6020	149	26	the	the	DET
fcis-6020	149	27	case	case	NOUN
fcis-6020	149	28	that	that	SCONJ
fcis-6020	149	29	a	a	DET
fcis-6020	149	30	high	high	ADJ
fcis-6020	149	31	precision	precision	NOUN
fcis-6020	149	32	rate	rate	NOUN
fcis-6020	149	33	results	result	NOUN
fcis-6020	149	34	in	in	ADP
fcis-6020	149	35	a	a	DET
fcis-6020	149	36	low	low	ADJ
fcis-6020	149	37	recall	recall	NOUN
fcis-6020	149	38	rate	rate	NOUN
fcis-6020	149	39	,	,	PUNCT
fcis-6020	149	40	or	or	CCONJ
fcis-6020	149	41	a	a	DET
fcis-6020	149	42	low	low	ADJ
fcis-6020	149	43	recall	recall	NOUN
fcis-6020	149	44	rate	rate	NOUN
fcis-6020	149	45	results	result	NOUN
fcis-6020	149	46	in	in	ADP
fcis-6020	149	47	a	a	DET
fcis-6020	149	48	high	high	ADJ
fcis-6020	149	49	precision	precision	NOUN
fcis-6020	149	50	rate	rate	NOUN
fcis-6020	149	51	.	.	PUNCT
fcis-6020	150	1	if	if	SCONJ
fcis-6020	150	2	both	both	PRON
fcis-6020	150	3	are	be	AUX
fcis-6020	150	4	needed	need	VERB
fcis-6020	150	5	,	,	PUNCT
fcis-6020	150	6	then	then	ADV
fcis-6020	150	7	the	the	DET
fcis-6020	150	8	f1	f1	PROPN
fcis-6020	150	9	metric	metric	NOUN
fcis-6020	150	10	can	can	AUX
fcis-6020	150	11	be	be	AUX
fcis-6020	150	12	used	use	VERB
fcis-6020	150	13	.	.	PUNCT
fcis-6020	151	1	●	●	PUNCT
fcis-6020	151	2	oob_score	oob_score	NUM
fcis-6020	151	3	:	:	PUNCT
fcis-6020	151	4	for	for	ADP
fcis-6020	151	5	classification	classification	NOUN
fcis-6020	151	6	problems	problem	NOUN
fcis-6020	151	7	,	,	PUNCT
fcis-6020	151	8	oob_score	oob_score	PROPN
fcis-6020	151	9	is	be	AUX
fcis-6020	151	10	the	the	DET
fcis-6020	151	11	accuracy	accuracy	NOUN
fcis-6020	151	12	rate	rate	NOUN
fcis-6020	151	13	of	of	ADP
fcis-6020	151	14	out	out	ADP
fcis-6020	151	15	-	-	PUNCT
fcis-6020	151	16	of	of	ADP
fcis-6020	151	17	-	-	PUNCT
fcis-6020	151	18	bag	bag	NOUN
fcis-6020	151	19	data	datum	NOUN
fcis-6020	151	20	.	.	PUNCT
fcis-6020	152	1	if	if	SCONJ
fcis-6020	152	2	there	there	PRON
fcis-6020	152	3	is	be	VERB
fcis-6020	152	4	put	put	VERB
fcis-6020	152	5	-	-	PUNCT
fcis-6020	152	6	back	back	NOUN
fcis-6020	152	7	sampling	sampling	NOUN
fcis-6020	152	8	selected	select	VERB
fcis-6020	152	9	during	during	ADP
fcis-6020	152	10	the	the	DET
fcis-6020	152	11	tree	tree	NOUN
fcis-6020	152	12	building	building	NOUN
fcis-6020	152	13	process	process	NOUN
fcis-6020	152	14	,	,	PUNCT
fcis-6020	152	15	about	about	ADP
fcis-6020	152	16	1/3	1/3	NUM
fcis-6020	152	17	of	of	ADP
fcis-6020	152	18	the	the	DET
fcis-6020	152	19	records	record	NOUN
fcis-6020	152	20	are	be	AUX
fcis-6020	152	21	not	not	PART
fcis-6020	152	22	extracted	extract	VERB
fcis-6020	152	23	.	.	PUNCT
fcis-6020	153	1	the	the	DET
fcis-6020	153	2	ones	one	NOUN
fcis-6020	153	3	that	that	PRON
fcis-6020	153	4	are	be	AUX
fcis-6020	153	5	not	not	PART
fcis-6020	153	6	extracted	extract	VERB
fcis-6020	153	7	naturally	naturally	ADV
fcis-6020	153	8	form	form	VERB
fcis-6020	153	9	a	a	DET
fcis-6020	153	10	control	control	NOUN
fcis-6020	153	11	data	datum	NOUN
fcis-6020	153	12	set	set	VERB
fcis-6020	153	13	that	that	PRON
fcis-6020	153	14	can	can	AUX
fcis-6020	153	15	be	be	AUX
fcis-6020	153	16	used	use	VERB
fcis-6020	153	17	for	for	ADP
fcis-6020	153	18	model	model	NOUN
fcis-6020	153	19	validation	validation	NOUN
fcis-6020	153	20	.	.	PUNCT
fcis-6020	154	1	therefore	therefore	ADV
fcis-6020	154	2	,	,	PUNCT
fcis-6020	154	3	the	the	DET
fcis-6020	154	4	random	random	ADJ
fcis-6020	154	5	forest	forest	NOUN
fcis-6020	154	6	does	do	AUX
fcis-6020	154	7	not	not	PART
fcis-6020	154	8	need	need	VERB
fcis-6020	154	9	to	to	PART
fcis-6020	154	10	set	set	VERB
fcis-6020	154	11	aside	aside	ADP
fcis-6020	154	12	additional	additional	ADJ
fcis-6020	154	13	data	datum	NOUN
fcis-6020	154	14	for	for	ADP
fcis-6020	154	15	cross	cross	NOUN
fcis-6020	154	16	-	-	NOUN
fcis-6020	154	17	validation	validation	NOUN
fcis-6020	154	18	;	;	PUNCT
fcis-6020	154	19	its	its	PRON
fcis-6020	154	20	own	own	ADJ
fcis-6020	154	21	algorithm	algorithm	NOUN
fcis-6020	154	22	is	be	AUX
fcis-6020	154	23	similar	similar	ADJ
fcis-6020	154	24	to	to	ADP
fcis-6020	154	25	cross	cross	NOUN
fcis-6020	154	26	-	-	NOUN
fcis-6020	154	27	validation	validation	ADJ
fcis-6020	154	28	,	,	PUNCT
fcis-6020	154	29	and	and	CCONJ
fcis-6020	154	30	the	the	DET
fcis-6020	154	31	out	out	ADV
fcis-6020	154	32	-	-	PUNCT
fcis-6020	154	33	of	of	ADP
fcis-6020	154	34	-	-	PUNCT
fcis-6020	154	35	bag	bag	NOUN
fcis-6020	154	36	error	error	NOUN
fcis-6020	154	37	is	be	AUX
fcis-6020	154	38	an	an	DET
fcis-6020	154	39	unbiased	unbiased	ADJ
fcis-6020	154	40	estimate	estimate	NOUN
fcis-6020	154	41	of	of	ADP
fcis-6020	154	42	the	the	DET
fcis-6020	154	43	prediction	prediction	NOUN
fcis-6020	154	44	error	error	NOUN
fcis-6020	154	45	.	.	PUNCT
fcis-6020	155	1	table	table	NOUN
fcis-6020	155	2	3	3	NUM
fcis-6020	155	3	.	.	PUNCT
fcis-6020	155	4	model	model	NOUN
fcis-6020	155	5	evaluation	evaluation	NOUN
fcis-6020	155	6	results	result	NOUN
fcis-6020	155	7	accuracy	accuracy	NOUN
fcis-6020	155	8	recall	recall	NOUN
fcis-6020	155	9	accuracy	accuracy	NOUN
fcis-6020	155	10	accuracy	accuracy	NOUN
fcis-6020	155	11	recall	recall	NOUN
fcis-6020	155	12	accuracy	accuracy	NOUN
fcis-6020	155	13	accuracy	accuracy	NOUN
fcis-6020	155	14	recall	recall	PROPN
fcis-6020	155	15	accuracy	accuracy	PROPN
fcis-6020	155	16	f1	f1	NOUN
fcis-6020	155	17	training	training	NOUN
fcis-6020	155	18	set	set	VERB
fcis-6020	155	19	0.842	0.842	NUM
fcis-6020	155	20	0.842	0.842	NUM
fcis-6020	155	21	0.852	0.852	NUM
fcis-6020	155	22	0.844	0.844	NUM
fcis-6020	155	23	test	test	NOUN
fcis-6020	155	24	set	set	VERB
fcis-6020	155	25	0.601	0.601	NUM
fcis-6020	155	26	0.601	0.601	NUM
fcis-6020	155	27	0.639	0.639	NUM
fcis-6020	155	28	0.597	0.597	NUM
fcis-6020	155	29	based	base	VERB
fcis-6020	155	30	on	on	ADP
fcis-6020	155	31	this	this	PRON
fcis-6020	155	32	,	,	PUNCT
fcis-6020	155	33	this	this	DET
fcis-6020	155	34	paper	paper	NOUN
fcis-6020	155	35	uses	use	VERB
fcis-6020	155	36	decision	decision	NOUN
fcis-6020	155	37	tree	tree	NOUN
fcis-6020	155	38	model	model	NOUN
fcis-6020	155	39	and	and	CCONJ
fcis-6020	155	40	random	random	ADJ
fcis-6020	155	41	forest	forest	NOUN
fcis-6020	155	42	model	model	NOUN
fcis-6020	155	43	to	to	PART
fcis-6020	155	44	classify	classify	VERB
fcis-6020	155	45	the	the	DET
fcis-6020	155	46	data	datum	NOUN
fcis-6020	155	47	,	,	PUNCT
fcis-6020	155	48	and	and	CCONJ
fcis-6020	155	49	constructs	construct	VERB
fcis-6020	155	50	model	model	NOUN
fcis-6020	155	51	accuracy	accuracy	NOUN
fcis-6020	155	52	indexes	index	NOUN
fcis-6020	155	53	:	:	PUNCT
fcis-6020	155	54	confusion	confusion	NOUN
fcis-6020	155	55	matrix	matrix	NOUN
fcis-6020	155	56	,	,	PUNCT
fcis-6020	155	57	acc	acc	PROPN
fcis-6020	155	58	,	,	PUNCT
fcis-6020	155	59	etc	etc	X
fcis-6020	155	60	.	.	X
fcis-6020	156	1	so	so	ADV
fcis-6020	156	2	as	as	SCONJ
fcis-6020	156	3	to	to	PART
fcis-6020	156	4	judge	judge	VERB
fcis-6020	156	5	the	the	DET
fcis-6020	156	6	advantages	advantage	NOUN
fcis-6020	156	7	and	and	CCONJ
fcis-6020	156	8	disadvantages	disadvantage	NOUN
fcis-6020	156	9	of	of	ADP
fcis-6020	156	10	the	the	DET
fcis-6020	156	11	classification	classification	NOUN
fcis-6020	156	12	model	model	NOUN
fcis-6020	156	13	.	.	PUNCT
fcis-6020	157	1	by	by	ADP
fcis-6020	157	2	comparing	compare	VERB
fcis-6020	157	3	the	the	DET
fcis-6020	157	4	judgment	judgment	NOUN
fcis-6020	157	5	indexes	index	NOUN
fcis-6020	157	6	of	of	ADP
fcis-6020	157	7	decision	decision	NOUN
fcis-6020	157	8	tree	tree	NOUN
fcis-6020	157	9	model	model	NOUN
fcis-6020	157	10	and	and	CCONJ
fcis-6020	157	11	random	random	ADJ
fcis-6020	157	12	forest	forest	NOUN
fcis-6020	157	13	model	model	NOUN
fcis-6020	157	14	,	,	PUNCT
fcis-6020	157	15	it	it	PRON
fcis-6020	157	16	is	be	AUX
fcis-6020	157	17	found	find	VERB
fcis-6020	157	18	that	that	SCONJ
fcis-6020	157	19	decision	decision	NOUN
fcis-6020	157	20	tree	tree	NOUN
fcis-6020	157	21	model	model	NOUN
fcis-6020	157	22	has	have	VERB
fcis-6020	157	23	better	well	ADJ
fcis-6020	157	24	classification	classification	NOUN
fcis-6020	157	25	effect	effect	NOUN
fcis-6020	157	26	.	.	PUNCT
fcis-6020	158	1	5	5	X
fcis-6020	158	2	.	.	X
fcis-6020	158	3	problem	problem	NOUN
fcis-6020	158	4	3	3	NUM
fcis-6020	158	5	the	the	DET
fcis-6020	158	6	problem	problem	NOUN
fcis-6020	158	7	3	3	NUM
fcis-6020	158	8	model	model	NOUN
fcis-6020	158	9	building	building	NOUN
fcis-6020	158	10	and	and	CCONJ
fcis-6020	158	11	solution	solution	NOUN
fcis-6020	158	12	process	process	NOUN
fcis-6020	158	13	is	be	AUX
fcis-6020	158	14	shown	show	VERB
fcis-6020	158	15	in	in	ADP
fcis-6020	158	16	figure	figure	NOUN
fcis-6020	158	17	13	13	NUM
fcis-6020	158	18	.	.	PUNCT
fcis-6020	159	1	figure	figure	NOUN
fcis-6020	159	2	13	13	NUM
fcis-6020	159	3	.	.	PUNCT
fcis-6020	160	1	problem	problem	NOUN
fcis-6020	160	2	3	3	NUM
fcis-6020	160	3	solution	solution	NOUN
fcis-6020	160	4	process	process	NOUN
fcis-6020	160	5	5.1	5.1	NUM
fcis-6020	160	6	.	.	PUNCT
fcis-6020	161	1	model	model	NOUN
fcis-6020	161	2	establishment	establishment	NOUN
fcis-6020	161	3	and	and	CCONJ
fcis-6020	161	4	solving	solve	VERB
fcis-6020	161	5	the	the	DET
fcis-6020	161	6	k	k	NOUN
fcis-6020	161	7	-	-	PUNCT
fcis-6020	161	8	means	mean	VERB
fcis-6020	161	9	clustering	clustering	ADJ
fcis-6020	161	10	algorithm	algorithm	NOUN
fcis-6020	161	11	is	be	AUX
fcis-6020	161	12	a	a	DET
fcis-6020	161	13	clustering	clustering	ADJ
fcis-6020	161	14	algorithm	algorithm	NOUN
fcis-6020	161	15	that	that	PRON
fcis-6020	161	16	classifies	classifies	AUX
fcis-6020	161	17	based	base	VERB
fcis-6020	161	18	on	on	ADP
fcis-6020	161	19	a	a	DET
fcis-6020	161	20	functional	functional	ADJ
fcis-6020	161	21	criterion	criterion	NOUN
fcis-6020	161	22	,	,	PUNCT
fcis-6020	161	23	based	base	VERB
fcis-6020	161	24	on	on	ADP
fcis-6020	161	25	minimizing	minimize	VERB
fcis-6020	161	26	the	the	DET
fcis-6020	161	27	clustering	clustering	ADJ
fcis-6020	161	28	criterion	criterion	NOUN
fcis-6020	161	29	function	function	NOUN
fcis-6020	161	30	.	.	PUNCT
fcis-6020	162	1	the	the	DET
fcis-6020	162	2	clustering	cluster	VERB
fcis-6020	162	3	criterion	criterion	NOUN
fcis-6020	162	4	function	function	NOUN
fcis-6020	162	5	is	be	AUX
fcis-6020	162	6	the	the	DET
fcis-6020	162	7	sum	sum	NOUN
fcis-6020	162	8	of	of	ADP
fcis-6020	162	9	squares	square	NOUN
fcis-6020	162	10	of	of	ADP
fcis-6020	162	11	the	the	DET
fcis-6020	162	12	distances	distance	NOUN
fcis-6020	162	13	from	from	ADP
fcis-6020	162	14	each	each	DET
fcis-6020	162	15	node	node	NOUN
fcis-6020	162	16	in	in	ADP
fcis-6020	162	17	the	the	DET
fcis-6020	162	18	cluster	cluster	NOUN
fcis-6020	162	19	set	set	VERB
fcis-6020	162	20	to	to	ADP
fcis-6020	162	21	the	the	DET
fcis-6020	162	22	center	center	NOUN
fcis-6020	162	23	of	of	ADP
fcis-6020	162	24	the	the	DET
fcis-6020	162	25	cluster	cluster	NOUN
fcis-6020	162	26	of	of	ADP
fcis-6020	162	27	that	that	DET
fcis-6020	162	28	class	class	NOUN
fcis-6020	162	29	.	.	PUNCT
fcis-6020	163	1	for	for	ADP
fcis-6020	163	2	all	all	DET
fcis-6020	163	3	m	m	NOUN
fcis-6020	163	4	pattern	pattern	NOUN
fcis-6020	163	5	classes	class	NOUN
fcis-6020	163	6	criterion	criterion	NOUN
fcis-6020	163	7	function	function	NOUN
fcis-6020	163	8	is	be	AUX
fcis-6020	163	9	defined	define	VERB
fcis-6020	163	10	.	.	PUNCT
fcis-6020	164	1	k	k	X
fcis-6020	164	2	=	=	PUNCT
fcis-6020	164	3	∑	∑	PUNCT
fcis-6020	164	4	∑‖xi	∑‖xi	PROPN
fcis-6020	164	5	−	−	PROPN
fcis-6020	164	6	zj‖	zj‖	NUM
fcis-6020	164	7	nj	nj	PROPN
fcis-6020	165	1	i=1	i=1	X
fcis-6020	165	2	m	m	VERB
fcis-6020	166	1	k=1	k=1	INTJ
fcis-6020	166	2	where	where	SCONJ
fcis-6020	166	3	𝑆𝑗	𝑆𝑗	PROPN
fcis-6020	166	4	is	be	AUX
fcis-6020	166	5	the	the	DET
fcis-6020	166	6	𝑗𝑡ℎ	𝑗𝑡ℎ	PROPN
fcis-6020	166	7	cluster	cluster	NOUN
fcis-6020	166	8	set	set	VERB
fcis-6020	166	9	with	with	ADP
fcis-6020	166	10	cluster	cluster	NOUN
fcis-6020	166	11	center	center	NOUN
fcis-6020	166	12	𝑍𝑗	𝑍𝑗	PROPN
fcis-6020	166	13	;	;	PUNCT
fcis-6020	166	14	𝑁𝑗	𝑁𝑗	PROPN
fcis-6020	166	15	is	be	AUX
fcis-6020	166	16	the	the	DET
fcis-6020	166	17	number	number	NOUN
fcis-6020	166	18	of	of	ADP
fcis-6020	166	19	samples	sample	NOUN
fcis-6020	166	20	contained	contain	VERB
fcis-6020	166	21	in	in	ADP
fcis-6020	166	22	the	the	DET
fcis-6020	166	23	jth	jth	PROPN
fcis-6020	166	24	cluster	cluster	NOUN
fcis-6020	166	25	set	set	VERB
fcis-6020	166	26	sj	sj	VERB
fcis-6020	166	27	.	.	PUNCT
fcis-6020	167	1	the	the	DET
fcis-6020	167	2	clustering	cluster	VERB
fcis-6020	167	3	criterion	criterion	NOUN
fcis-6020	167	4	of	of	ADP
fcis-6020	167	5	km	km	PROPN
fcis-6020	167	6	:	:	PUNCT
fcis-6020	167	7	choose	choose	VERB
fcis-6020	167	8	a	a	DET
fcis-6020	167	9	cluster	cluster	NOUN
fcis-6020	167	10	center	center	NOUN
fcis-6020	167	11	zk	zk	PROPN
fcis-6020	167	12	let	let	VERB
fcis-6020	167	13	the	the	DET
fcis-6020	167	14	criterion	criterion	NOUN
fcis-6020	167	15	function	function	NOUN
fcis-6020	167	16	k	k	NOUN
fcis-6020	167	17	be	be	AUX
fcis-6020	167	18	extremely	extremely	ADV
fcis-6020	167	19	small	small	ADJ
fcis-6020	167	20	,	,	PUNCT
fcis-6020	167	21	i.e.	i.e.	X
fcis-6020	167	22	,	,	PUNCT
fcis-6020	167	23	make	make	VERB
fcis-6020	167	24	the	the	DET
fcis-6020	167	25	value	value	NOUN
fcis-6020	167	26	of	of	ADP
fcis-6020	167	27	kk	kk	PROPN
fcis-6020	167	28	extremely	extremely	ADV
fcis-6020	167	29	small	small	ADJ
fcis-6020	167	30	,	,	PUNCT
fcis-6020	167	31	we	we	PRON
fcis-6020	167	32	get	get	AUX
fcis-6020	167	33	𝑍𝑘	𝑍𝑘	VERB
fcis-6020	167	34	=	=	SYM
fcis-6020	167	35	1	1	NUM
fcis-6020	167	36	𝑁	𝑁	PROPN
fcis-6020	167	37	∑	∑	PUNCT
fcis-6020	167	38	𝑋𝑖	𝑋𝑖	PROPN
fcis-6020	167	39	𝑁𝑘	𝑁𝑘	PROPN
fcis-6020	167	40	𝑖=1	𝑖=1	PROPN
fcis-6020	167	41	let	let	VERB
fcis-6020	167	42	there	there	PRON
fcis-6020	167	43	be	be	AUX
fcis-6020	167	44	n	n	DET
fcis-6020	167	45	nodes	node	NOUN
fcis-6020	167	46	,	,	PUNCT
fcis-6020	167	47	and	and	CCONJ
fcis-6020	167	48	the	the	DET
fcis-6020	167	49	calculation	calculation	NOUN
fcis-6020	167	50	steps	step	NOUN
fcis-6020	167	51	are	be	AUX
fcis-6020	167	52	as	as	SCONJ
fcis-6020	167	53	follows	follow	VERB
fcis-6020	167	54	:	:	PUNCT
fcis-6020	167	55	any	any	DET
fcis-6020	167	56	m	m	PROPN
fcis-6020	167	57	initial	initial	ADJ
fcis-6020	167	58	cluster	cluster	NOUN
fcis-6020	167	59	centers	center	NOUN
fcis-6020	167	60	z1(1	z1(1	NOUN
fcis-6020	167	61	)	)	PUNCT
fcis-6020	167	62	,	,	PUNCT
fcis-6020	167	63	z2(1	z2(1	NOUN
fcis-6020	167	64	)	)	PUNCT
fcis-6020	167	65	,	,	PUNCT
fcis-6020	167	66	.	.	PUNCT
fcis-6020	167	67	.	.	PUNCT
fcis-6020	167	68	.	.	PUNCT
fcis-6020	168	1	zm(1	zm(1	NOUN
fcis-6020	168	2	)	)	PUNCT
fcis-6020	168	3	,	,	PUNCT
fcis-6020	168	4	m	m	VERB
fcis-6020	168	5	<	<	X
fcis-6020	168	6	n	n	CCONJ
fcis-6020	168	7	,	,	PUNCT
fcis-6020	168	8	and	and	CCONJ
fcis-6020	168	9	the	the	DET
fcis-6020	168	10	serial	serial	ADJ
fcis-6020	168	11	numbers	number	NOUN
fcis-6020	168	12	in	in	ADP
fcis-6020	168	13	parentheses	parenthesis	NOUN
fcis-6020	168	14	represent	represent	VERB
fcis-6020	168	15	the	the	DET
fcis-6020	168	16	number	number	NOUN
fcis-6020	168	17	of	of	ADP
fcis-6020	168	18	iterations	iteration	NOUN
fcis-6020	168	19	.	.	PUNCT
fcis-6020	169	1	the	the	DET
fcis-6020	169	2	remaining	remain	VERB
fcis-6020	169	3	nodes	node	NOUN
fcis-6020	169	4	are	be	AUX
fcis-6020	169	5	assigned	assign	VERB
fcis-6020	169	6	to	to	ADP
fcis-6020	169	7	m	m	PROPN
fcis-6020	169	8	cluster	cluster	NOUN
fcis-6020	169	9	centers	center	NOUN
fcis-6020	169	10	according	accord	VERB
fcis-6020	169	11	to	to	ADP
fcis-6020	169	12	the	the	DET
fcis-6020	169	13	shortest	short	ADJ
fcis-6020	169	14	distance	distance	NOUN
fcis-6020	169	15	principle	principle	NOUN
fcis-6020	169	16	to	to	ADP
fcis-6020	169	17	one	one	NUM
fcis-6020	169	18	of	of	ADP
fcis-6020	169	19	the	the	DET
fcis-6020	169	20	m	m	PROPN
fcis-6020	169	21	cluster	cluster	NOUN
fcis-6020	169	22	centers	center	NOUN
fcis-6020	169	23	,	,	PUNCT
fcis-6020	169	24	i.e.	i.e.	X
fcis-6020	169	25	min{‖x	min{‖x	CCONJ
fcis-6020	169	26	−	−	PROPN
fcis-6020	169	27	zi(m)‖	zi(m)‖	NOUN
fcis-6020	169	28	,	,	PUNCT
fcis-6020	169	29	i	i	NOUN
fcis-6020	169	30	=	=	NOUN
fcis-6020	169	31	1,2	1,2	NUM
fcis-6020	169	32	,	,	PUNCT
fcis-6020	169	33	.	.	PUNCT
fcis-6020	169	34	.	.	PUNCT
fcis-6020	170	1	.	.	PUNCT
fcis-6020	171	1	,	,	PUNCT
fcis-6020	171	2	m	m	VERB
fcis-6020	171	3	}	}	PUNCT
fcis-6020	171	4	=	=	PUNCT
fcis-6020	171	5	‖x	‖x	NOUN
fcis-6020	172	1	−	−	PROPN
fcis-6020	172	2	zk(m)‖	zk(m)‖	NOUN
fcis-6020	172	3	where	where	SCONJ
fcis-6020	172	4	m	m	PRON
fcis-6020	172	5	is	be	AUX
fcis-6020	172	6	the	the	DET
fcis-6020	172	7	order	order	NOUN
fcis-6020	172	8	number	number	NOUN
fcis-6020	172	9	of	of	ADP
fcis-6020	172	10	the	the	DET
fcis-6020	172	11	iterative	iterative	NOUN
fcis-6020	172	12	operation	operation	NOUN
fcis-6020	172	13	.	.	PUNCT
fcis-6020	173	1	calculate	calculate	VERB
fcis-6020	173	2	the	the	DET
fcis-6020	173	3	new	new	ADJ
fcis-6020	173	4	vector	vector	NOUN
fcis-6020	173	5	values	value	NOUN
fcis-6020	173	6	for	for	ADP
fcis-6020	173	7	each	each	DET
fcis-6020	173	8	cluster	cluster	NOUN
fcis-6020	173	9	center	center	NOUN
fcis-6020	173	10	.	.	PUNCT
fcis-6020	174	1	𝑍𝑘(𝑚	𝑍𝑘(𝑚	PROPN
fcis-6020	174	2	+	+	CCONJ
fcis-6020	174	3	1	1	X
fcis-6020	174	4	)	)	PUNCT
fcis-6020	174	5	=	=	SYM
fcis-6020	174	6	1	1	NUM
fcis-6020	174	7	𝑁𝑘	𝑁𝑘	PROPN
fcis-6020	174	8	∑	∑	PUNCT
fcis-6020	174	9	𝑋	𝑋	PROPN
fcis-6020	174	10	𝑋∈𝑆𝑘(𝑚	𝑋∈𝑆𝑘(𝑚	PROPN
fcis-6020	174	11	)	)	PUNCT
fcis-6020	175	1	if	if	SCONJ
fcis-6020	175	2	zk(m	zk(m	NUM
fcis-6020	175	3	+	+	NOUN
fcis-6020	175	4	1	1	X
fcis-6020	175	5	)	)	PUNCT
fcis-6020	175	6	≠	≠	PROPN
fcis-6020	175	7	zk	zk	PROPN
fcis-6020	175	8	(	(	PUNCT
fcis-6020	175	9	m	m	PROPN
fcis-6020	175	10	)	)	PUNCT
fcis-6020	175	11	,	,	PUNCT
fcis-6020	175	12	j	j	PROPN
fcis-6020	175	13	=	=	SYM
fcis-6020	175	14	1	1	NUM
fcis-6020	175	15	,	,	PUNCT
fcis-6020	175	16	2	2	NUM
fcis-6020	175	17	,	,	PUNCT
fcis-6020	175	18	.	.	PUNCT
fcis-6020	175	19	.	.	PUNCT
fcis-6020	176	1	.	.	PUNCT
fcis-6020	177	1	,	,	PUNCT
fcis-6020	177	2	m	m	PRON
fcis-6020	177	3	,	,	PUNCT
fcis-6020	177	4	then	then	ADV
fcis-6020	177	5	return	return	VERB
fcis-6020	177	6	to	to	PART
fcis-6020	177	7	reclassify	reclassify	VERB
fcis-6020	177	8	the	the	DET
fcis-6020	177	9	nodes	node	NOUN
fcis-6020	177	10	one	one	NUM
fcis-6020	177	11	by	by	ADP
fcis-6020	177	12	one	one	NUM
fcis-6020	177	13	and	and	CCONJ
fcis-6020	177	14	repeat	repeat	VERB
fcis-6020	177	15	the	the	DET
fcis-6020	177	16	iterative	iterative	NOUN
fcis-6020	177	17	computation	computation	NOUN
fcis-6020	177	18	,	,	PUNCT
fcis-6020	177	19	and	and	CCONJ
fcis-6020	177	20	vice	vice	ADV
fcis-6020	177	21	versa	versa	ADV
fcis-6020	177	22	,	,	PUNCT
fcis-6020	177	23	the	the	DET
fcis-6020	177	24	algorithm	algorithm	NOUN
fcis-6020	177	25	converges	converge	VERB
fcis-6020	177	26	and	and	CCONJ
fcis-6020	177	27	the	the	DET
fcis-6020	177	28	computation	computation	NOUN
fcis-6020	177	29	is	be	AUX
fcis-6020	177	30	completed	complete	VERB
fcis-6020	177	31	.	.	PUNCT
fcis-6020	178	1	table	table	NOUN
fcis-6020	178	2	4	4	NUM
fcis-6020	178	3	.	.	PUNCT
fcis-6020	178	4	model	model	NOUN
fcis-6020	178	5	evaluation	evaluation	NOUN
fcis-6020	178	6	results	result	VERB
fcis-6020	178	7	dx_bl	dx_bl	PROPN
fcis-6020	178	8	site	site	NOUN
fcis-6020	178	9	age	age	NOUN
fcis-6020	178	10	pt_gend	pt_gend	VERB
fcis-6020	178	11	er	er	INTJ
fcis-6020	178	12	pt_edu	pt_edu	PROPN
fcis-6020	178	13	cat	cat	NOUN
fcis-6020	178	14	pt_et	pt_et	ADJ
fcis-6020	178	15	hcat	hcat	PROPN
fcis-6020	178	16	pt_racc	pt_racc	ADV
fcis-6020	178	17	at	at	ADP
fcis-6020	178	18	pt_mar	pt_mar	PROPN
fcis-6020	178	19	ry	ry	PROPN
fcis-6020	178	20	apo	apo	PROPN
fcis-6020	178	21	e4	e4	PROPN
fcis-6020	178	22	1	1	NUM
fcis-6020	178	23	106.52	106.52	NUM
fcis-6020	178	24	70.86	70.86	NUM
fcis-6020	178	25	2.00	2.00	NUM
fcis-6020	178	26	16.26	16.26	NUM
fcis-6020	179	1	1.18	1.18	NUM
fcis-6020	179	2	1.34	1.34	NUM
fcis-6020	179	3	1.64	1.64	NUM
fcis-6020	179	4	0.40	0.40	NUM
fcis-6020	179	5	0.13	0.13	NUM
fcis-6020	179	6	2	2	NUM
fcis-6020	179	7	80.51	80.51	NUM
fcis-6020	179	8	73.16	73.16	NUM
fcis-6020	179	9	2.00	2.00	NUM
fcis-6020	179	10	16.05	16.05	NUM
fcis-6020	179	11	1.04	1.04	NUM
fcis-6020	179	12	1.13	1.13	NUM
fcis-6020	179	13	1.40	1.40	NUM
fcis-6020	179	14	0.53	0.53	NUM
fcis-6020	179	15	0.41	0.41	NUM
fcis-6020	179	16	3	3	NUM
fcis-6020	179	17	81.93	81.93	NUM
fcis-6020	179	18	73.41	73.41	NUM
fcis-6020	179	19	2.00	2.00	NUM
fcis-6020	179	20	16.20	16.20	NUM
fcis-6020	179	21	1.04	1.04	NUM
fcis-6020	179	22	1.13	1.13	NUM
fcis-6020	179	23	1.39	1.39	NUM
fcis-6020	179	24	0.48	0.48	NUM
fcis-6020	179	25	0.04	0.04	NUM
fcis-6020	179	26	therefore	therefore	ADV
fcis-6020	179	27	,	,	PUNCT
fcis-6020	179	28	in	in	ADP
fcis-6020	179	29	this	this	DET
fcis-6020	179	30	paper	paper	NOUN
fcis-6020	179	31	,	,	PUNCT
fcis-6020	179	32	we	we	PRON
fcis-6020	179	33	first	first	ADV
fcis-6020	179	34	clustered	cluster	VERB
fcis-6020	179	35	the	the	DET
fcis-6020	179	36	overall	overall	NOUN
fcis-6020	179	37	into	into	ADP
fcis-6020	179	38	three	three	NUM
fcis-6020	179	39	classes	class	NOUN
fcis-6020	179	40	,	,	PUNCT
fcis-6020	179	41	denoted	denote	VERB
fcis-6020	179	42	as	as	ADP
fcis-6020	179	43	mci	mci	PROPN
fcis-6020	179	44	,	,	PUNCT
fcis-6020	179	45	cn\ad	cn\ad	PROPN
fcis-6020	179	46	.	.	PUNCT
fcis-6020	180	1	then	then	ADV
fcis-6020	180	2	,	,	PUNCT
fcis-6020	180	3	this	this	DET
fcis-6020	180	4	paper	paper	NOUN
fcis-6020	180	5	used	use	VERB
fcis-6020	180	6	k	k	ADJ
fcis-6020	180	7	-	-	PUNCT
fcis-6020	180	8	means	means	NOUN
fcis-6020	180	9	algorithm	algorithm	NOUN
fcis-6020	180	10	for	for	ADP
fcis-6020	180	11	clustering	clustering	NOUN
fcis-6020	180	12	,	,	PUNCT
fcis-6020	180	13	and	and	CCONJ
fcis-6020	180	14	continued	continue	VERB
fcis-6020	180	15	to	to	PART
fcis-6020	180	16	cluster	cluster	VERB
fcis-6020	180	17	mci	mci	NOUN
fcis-6020	180	18	into	into	ADP
fcis-6020	180	19	smc\emci\lmci	smc\emci\lmci	NOUN
fcis-6020	180	20	thereby	thereby	ADV
fcis-6020	180	21	observing	observe	VERB
fcis-6020	180	22	the	the	DET
fcis-6020	180	23	difference	difference	NOUN
fcis-6020	180	24	between	between	ADP
fcis-6020	180	25	the	the	DET
fcis-6020	180	26	clustering	cluster	VERB
fcis-6020	180	27	centers	center	NOUN
fcis-6020	180	28	.	.	PUNCT
fcis-6020	181	1	in	in	ADP
fcis-6020	181	2	this	this	DET
fcis-6020	181	3	paper	paper	NOUN
fcis-6020	181	4	,	,	PUNCT
fcis-6020	181	5	we	we	PRON
fcis-6020	181	6	first	first	ADV
fcis-6020	181	7	clustered	cluster	VERB
fcis-6020	181	8	the	the	DET
fcis-6020	181	9	overall	overall	NOUN
fcis-6020	181	10	into	into	ADP
fcis-6020	181	11	3	3	NUM
fcis-6020	181	12	classes	class	NOUN
fcis-6020	181	13	,	,	PUNCT
fcis-6020	181	14	denoted	denote	VERB
fcis-6020	181	15	as	as	ADP
fcis-6020	181	16	mci	mci	PROPN
fcis-6020	181	17	,	,	PUNCT
fcis-6020	181	18	cn	cn	PROPN
fcis-6020	181	19	,	,	PUNCT
fcis-6020	181	20	and	and	CCONJ
fcis-6020	181	21	ad	ad	NOUN
fcis-6020	181	22	.	.	PUNCT
fcis-6020	182	1	then	then	ADV
fcis-6020	182	2	,	,	PUNCT
fcis-6020	182	3	this	this	DET
fcis-6020	182	4	paper	paper	NOUN
fcis-6020	182	5	used	use	VERB
fcis-6020	182	6	k	k	ADJ
fcis-6020	182	7	-	-	PUNCT
fcis-6020	182	8	means	means	NOUN
fcis-6020	182	9	algorithm	algorithm	NOUN
fcis-6020	182	10	for	for	ADP
fcis-6020	182	11	clustering	cluster	VERB
fcis-6020	182	12	and	and	CCONJ
fcis-6020	182	13	calculated	calculate	VERB
fcis-6020	182	14	the	the	DET
fcis-6020	182	15	distribution	distribution	NOUN
fcis-6020	182	16	of	of	ADP
fcis-6020	182	17	the	the	DET
fcis-6020	182	18	values	value	NOUN
fcis-6020	182	19	of	of	ADP
fcis-6020	182	20	53	53	NUM
fcis-6020	182	21	indicators	indicator	NOUN
fcis-6020	182	22	under	under	ADP
fcis-6020	182	23	the	the	DET
fcis-6020	182	24	three	three	NUM
fcis-6020	182	25	clustering	clustering	ADJ
fcis-6020	182	26	centers	center	NOUN
fcis-6020	182	27	.	.	PUNCT
fcis-6020	183	1	under	under	ADP
fcis-6020	183	2	different	different	ADJ
fcis-6020	183	3	clustering	clustering	ADJ
fcis-6020	183	4	categories	category	NOUN
fcis-6020	183	5	,	,	PUNCT
fcis-6020	183	6	the	the	DET
fcis-6020	183	7	important	important	ADJ
fcis-6020	183	8	factors	factor	NOUN
fcis-6020	183	9	affecting	affect	VERB
fcis-6020	183	10	the	the	DET
fcis-6020	183	11	classification	classification	NOUN
fcis-6020	183	12	are	be	AUX
fcis-6020	183	13	judged	judge	VERB
fcis-6020	183	14	by	by	ADP
fcis-6020	183	15	comparing	compare	VERB
fcis-6020	183	16	the	the	DET
fcis-6020	183	17	magnitude	magnitude	NOUN
fcis-6020	183	18	of	of	ADP
fcis-6020	183	19	the	the	DET
fcis-6020	183	20	values	value	NOUN
fcis-6020	183	21	of	of	ADP
fcis-6020	183	22	the	the	DET
fcis-6020	183	23	same	same	ADJ
fcis-6020	183	24	indicators	indicator	NOUN
fcis-6020	183	25	.	.	PUNCT
fcis-6020	184	1	the	the	DET
fcis-6020	184	2	above	above	ADJ
fcis-6020	184	3	visualization	visualization	NOUN
fcis-6020	184	4	reveals	reveal	VERB
fcis-6020	184	5	that	that	SCONJ
fcis-6020	184	6	among	among	ADP
fcis-6020	184	7	the	the	DET
fcis-6020	184	8	53	53	NUM
fcis-6020	184	9	underlying	underlie	VERB
fcis-6020	184	10	indicators	indicator	NOUN
fcis-6020	184	11	,	,	PUNCT
fcis-6020	184	12	a	a	DET
fcis-6020	184	13	large	large	ADJ
fcis-6020	184	14	number	number	NOUN
fcis-6020	184	15	of	of	ADP
fcis-6020	184	16	indicators	indicator	NOUN
fcis-6020	184	17	have	have	VERB
fcis-6020	184	18	little	little	ADJ
fcis-6020	184	19	effect	effect	NOUN
fcis-6020	184	20	on	on	ADP
fcis-6020	184	21	clustering	clustering	NOUN
fcis-6020	184	22	,	,	PUNCT
fcis-6020	184	23	which	which	PRON
fcis-6020	184	24	means	mean	VERB
fcis-6020	184	25	that	that	SCONJ
fcis-6020	184	26	there	there	PRON
fcis-6020	184	27	is	be	VERB
fcis-6020	184	28	little	little	ADJ
fcis-6020	184	29	difference	difference	NOUN
fcis-6020	184	30	between	between	ADP
fcis-6020	184	31	the	the	DET
fcis-6020	184	32	values	value	NOUN
fcis-6020	184	33	of	of	ADP
fcis-6020	184	34	the	the	DET
fcis-6020	184	35	same	same	ADJ
fcis-6020	184	36	indicators	indicator	NOUN
fcis-6020	184	37	under	under	ADP
fcis-6020	184	38	different	different	ADJ
fcis-6020	184	39	clustering	clustering	ADJ
fcis-6020	184	40	categories	category	NOUN
fcis-6020	184	41	,	,	PUNCT
fcis-6020	184	42	or	or	CCONJ
fcis-6020	184	43	even	even	ADV
fcis-6020	184	44	almost	almost	ADV
fcis-6020	184	45	identical	identical	ADJ
fcis-6020	184	46	,	,	PUNCT
fcis-6020	184	47	but	but	CCONJ
fcis-6020	184	48	there	there	PRON
fcis-6020	184	49	are	be	VERB
fcis-6020	184	50	significant	significant	ADJ
fcis-6020	184	51	differences	difference	NOUN
fcis-6020	184	52	in	in	ADP
fcis-6020	184	53	variables	variable	NOUN
fcis-6020	184	54	such	such	ADJ
fcis-6020	184	55	as	as	ADP
fcis-6020	184	56	fdg	fdg	PROPN
fcis-6020	184	57	,	,	PUNCT
fcis-6020	184	58	av45	av45	PROPN
fcis-6020	184	59	,	,	PUNCT
fcis-6020	184	60	fbb	fbb	PROPN
fcis-6020	184	61	,	,	PUNCT
fcis-6020	184	62	and	and	CCONJ
fcis-6020	184	63	abeta	abeta	PROPN
fcis-6020	184	64	.	.	PUNCT
fcis-6020	185	1	although	although	SCONJ
fcis-6020	185	2	the	the	DET
fcis-6020	185	3	values	value	NOUN
fcis-6020	185	4	differed	differ	VERB
fcis-6020	185	5	little	little	ADJ
fcis-6020	185	6	,	,	PUNCT
fcis-6020	185	7	their	their	PRON
fcis-6020	185	8	standardization	standardization	NOUN
fcis-6020	185	9	revealed	reveal	VERB
fcis-6020	185	10	significant	significant	ADJ
fcis-6020	185	11	differences	difference	NOUN
fcis-6020	185	12	between	between	ADP
fcis-6020	185	13	the	the	DET
fcis-6020	185	14	values	value	NOUN
fcis-6020	185	15	of	of	ADP
fcis-6020	185	16	the	the	DET
fcis-6020	185	17	same	same	ADJ
fcis-6020	185	18	indicators	indicator	NOUN
fcis-6020	185	19	under	under	ADP
fcis-6020	185	20	different	different	ADJ
fcis-6020	185	21	clustering	clustering	ADJ
fcis-6020	185	22	categories	category	NOUN
fcis-6020	185	23	,	,	PUNCT
fcis-6020	185	24	which	which	PRON
fcis-6020	185	25	also	also	ADV
fcis-6020	185	26	provides	provide	VERB
fcis-6020	185	27	a	a	DET
fcis-6020	185	28	good	good	ADJ
fcis-6020	185	29	basis	basis	NOUN
fcis-6020	185	30	for	for	ADP
fcis-6020	185	31	finding	find	VERB
fcis-6020	185	32	the	the	DET
fcis-6020	185	33	etiology	etiology	NOUN
fcis-6020	185	34	of	of	ADP
fcis-6020	185	35	alzheimer	alzheimer	PROPN
fcis-6020	185	36	's	's	PART
fcis-6020	185	37	disease	disease	NOUN
fcis-6020	185	38	.	.	PUNCT
fcis-6020	186	1	36	36	NUM
fcis-6020	186	2	figure	figure	NOUN
fcis-6020	186	3	14	14	NUM
fcis-6020	186	4	.	.	PUNCT
fcis-6020	187	1	visualization	visualization	NOUN
fcis-6020	187	2	of	of	ADP
fcis-6020	187	3	clustering	clustering	ADJ
fcis-6020	187	4	effects	effect	NOUN
fcis-6020	187	5	5.2	5.2	NUM
fcis-6020	187	6	.	.	PUNCT
fcis-6020	188	1	model	model	NOUN
fcis-6020	188	2	establishment	establishment	NOUN
fcis-6020	188	3	and	and	CCONJ
fcis-6020	188	4	solving	solve	VERB
fcis-6020	188	5	the	the	DET
fcis-6020	188	6	clustering	clustering	NOUN
fcis-6020	188	7	was	be	AUX
fcis-6020	188	8	continued	continue	VERB
fcis-6020	188	9	by	by	ADP
fcis-6020	188	10	clustering	cluster	VERB
fcis-6020	188	11	the	the	DET
fcis-6020	188	12	mci	mci	PROPN
fcis-6020	188	13	into	into	ADP
fcis-6020	188	14	smc	smc	PROPN
fcis-6020	188	15	,	,	PUNCT
fcis-6020	188	16	emci	emci	NOUN
fcis-6020	188	17	,	,	PUNCT
fcis-6020	188	18	and	and	CCONJ
fcis-6020	188	19	lmci	lmci	VERB
fcis-6020	188	20	to	to	PART
fcis-6020	188	21	observe	observe	VERB
fcis-6020	188	22	the	the	DET
fcis-6020	188	23	difference	difference	NOUN
fcis-6020	188	24	between	between	ADP
fcis-6020	188	25	the	the	DET
fcis-6020	188	26	clustering	cluster	VERB
fcis-6020	188	27	centers	center	NOUN
fcis-6020	188	28	.	.	PUNCT
fcis-6020	189	1	figure	figure	VERB
fcis-6020	189	2	15	15	NUM
fcis-6020	189	3	.	.	PUNCT
fcis-6020	190	1	visualization	visualization	NOUN
fcis-6020	190	2	of	of	ADP
fcis-6020	190	3	clustering	clustering	ADJ
fcis-6020	190	4	effects	effect	NOUN
fcis-6020	190	5	from	from	ADP
fcis-6020	190	6	the	the	DET
fcis-6020	190	7	above	above	ADJ
fcis-6020	190	8	visualization	visualization	NOUN
fcis-6020	190	9	,	,	PUNCT
fcis-6020	190	10	it	it	PRON
fcis-6020	190	11	is	be	AUX
fcis-6020	190	12	clear	clear	ADJ
fcis-6020	190	13	that	that	SCONJ
fcis-6020	190	14	many	many	ADJ
fcis-6020	190	15	of	of	ADP
fcis-6020	190	16	the	the	DET
fcis-6020	190	17	53	53	NUM
fcis-6020	190	18	basic	basic	ADJ
fcis-6020	190	19	indices	index	NOUN
fcis-6020	190	20	have	have	VERB
fcis-6020	190	21	a	a	DET
fcis-6020	190	22	small	small	ADJ
fcis-6020	190	23	effect	effect	NOUN
fcis-6020	190	24	on	on	ADP
fcis-6020	190	25	the	the	DET
fcis-6020	190	26	clusters	cluster	NOUN
fcis-6020	190	27	,	,	PUNCT
fcis-6020	190	28	i.e.	i.e.	ADV
fcis-6020	190	29	:	:	PUNCT
fcis-6020	190	30	in	in	ADP
fcis-6020	190	31	the	the	DET
fcis-6020	190	32	classification	classification	NOUN
fcis-6020	190	33	,	,	PUNCT
fcis-6020	190	34	the	the	DET
fcis-6020	190	35	differences	difference	NOUN
fcis-6020	190	36	are	be	AUX
fcis-6020	190	37	small	small	ADJ
fcis-6020	190	38	and	and	CCONJ
fcis-6020	190	39	almost	almost	ADV
fcis-6020	190	40	identical	identical	ADJ
fcis-6020	190	41	for	for	ADP
fcis-6020	190	42	the	the	DET
fcis-6020	190	43	same	same	ADJ
fcis-6020	190	44	index	index	NOUN
fcis-6020	190	45	,	,	PUNCT
fcis-6020	190	46	but	but	CCONJ
fcis-6020	190	47	in	in	ADP
fcis-6020	190	48	fdg	fdg	PROPN
fcis-6020	190	49	,	,	PUNCT
fcis-6020	190	50	av45	av45	PROPN
fcis-6020	190	51	,	,	PUNCT
fcis-6020	190	52	fbb	fbb	PROPN
fcis-6020	190	53	;	;	PUNCT
fcis-6020	190	54	different	different	ADJ
fcis-6020	190	55	factors	factor	NOUN
fcis-6020	190	56	such	such	ADJ
fcis-6020	190	57	as	as	ADP
fcis-6020	190	58	abeta	abeta	PROPN
fcis-6020	190	59	differ	differ	VERB
fcis-6020	190	60	significantly	significantly	ADV
fcis-6020	190	61	.	.	PUNCT
fcis-6020	191	1	despite	despite	SCONJ
fcis-6020	191	2	the	the	DET
fcis-6020	191	3	small	small	ADJ
fcis-6020	191	4	difference	difference	NOUN
fcis-6020	191	5	between	between	ADP
fcis-6020	191	6	the	the	DET
fcis-6020	191	7	two	two	NUM
fcis-6020	191	8	data	datum	NOUN
fcis-6020	191	9	,	,	PUNCT
fcis-6020	191	10	after	after	ADP
fcis-6020	191	11	normalization	normalization	NOUN
fcis-6020	191	12	,	,	PUNCT
fcis-6020	191	13	we	we	PRON
fcis-6020	191	14	can	can	AUX
fcis-6020	191	15	see	see	VERB
fcis-6020	191	16	that	that	SCONJ
fcis-6020	191	17	there	there	PRON
fcis-6020	191	18	is	be	VERB
fcis-6020	191	19	a	a	DET
fcis-6020	191	20	significant	significant	ADJ
fcis-6020	191	21	difference	difference	NOUN
fcis-6020	191	22	in	in	ADP
fcis-6020	191	23	the	the	DET
fcis-6020	191	24	same	same	ADJ
fcis-6020	191	25	index	index	NOUN
fcis-6020	191	26	in	in	ADP
fcis-6020	191	27	each	each	DET
fcis-6020	191	28	cluster	cluster	NOUN
fcis-6020	191	29	under	under	ADP
fcis-6020	191	30	the	the	DET
fcis-6020	191	31	same	same	ADJ
fcis-6020	191	32	classification	classification	NOUN
fcis-6020	191	33	,	,	PUNCT
fcis-6020	191	34	which	which	PRON
fcis-6020	191	35	can	can	AUX
fcis-6020	191	36	find	find	VERB
fcis-6020	191	37	a	a	DET
fcis-6020	191	38	good	good	ADJ
fcis-6020	191	39	basis	basis	NOUN
fcis-6020	191	40	for	for	ADP
fcis-6020	191	41	the	the	DET
fcis-6020	191	42	pathogenesis	pathogenesis	NOUN
fcis-6020	191	43	of	of	ADP
fcis-6020	191	44	alzheimer	alzheimer	PROPN
fcis-6020	191	45	's	's	PART
fcis-6020	191	46	disease	disease	NOUN
fcis-6020	191	47	.	.	PUNCT
fcis-6020	192	1	table	table	NOUN
fcis-6020	192	2	5	5	NUM
fcis-6020	192	3	.	.	PUNCT
fcis-6020	192	4	model	model	NOUN
fcis-6020	192	5	evaluation	evaluation	NOUN
fcis-6020	192	6	results	result	VERB
fcis-6020	192	7	dx_bl	dx_bl	PROPN
fcis-6020	192	8	site	site	NOUN
fcis-6020	192	9	age	age	NOUN
fcis-6020	192	10	pt_gend	pt_gend	VERB
fcis-6020	192	11	er	er	INTJ
fcis-6020	192	12	pt_edu	pt_edu	PROPN
fcis-6020	192	13	cat	cat	PROPN
fcis-6020	192	14	pt_ethc	pt_ethc	NOUN
fcis-6020	192	15	at	at	ADP
fcis-6020	192	16	pt_r	pt_r	NOUN
fcis-6020	192	17	accat	accat	NOUN
fcis-6020	192	18	pt_ma	pt_ma	PROPN
fcis-6020	192	19	rry	rry	PROPN
fcis-6020	192	20	apo	apo	PROPN
fcis-6020	192	21	e4	e4	PROPN
fcis-6020	192	22	smc	smc	PROPN
fcis-6020	193	1	107.04	107.04	NUM
fcis-6020	193	2	70.1	70.1	NUM
fcis-6020	193	3	2.00	2.00	NUM
fcis-6020	193	4	16.15	16.15	NUM
fcis-6020	193	5	1.09	1.09	NUM
fcis-6020	193	6	1.37	1.37	NUM
fcis-6020	193	7	1.73	1.73	NUM
fcis-6020	193	8	0.35	0.35	NUM
fcis-6020	193	9	0.12	0.12	NUM
fcis-6020	193	10	emci	emci	NOUN
fcis-6020	193	11	79.75	79.75	NUM
fcis-6020	193	12	72.3	72.3	NUM
fcis-6020	193	13	2.00	2.00	NUM
fcis-6020	193	14	16.08	16.08	NUM
fcis-6020	193	15	1.04	1.04	NUM
fcis-6020	193	16	1.14	1.14	NUM
fcis-6020	193	17	1.38	1.38	NUM
fcis-6020	193	18	0.56	0.56	NUM
fcis-6020	193	19	0.41	0.41	NUM
fcis-6020	193	20	lmci	lmci	NOUN
fcis-6020	193	21	80.97	80.97	NUM
fcis-6020	193	22	72.5	72.5	NUM
fcis-6020	193	23	2.00	2.00	NUM
fcis-6020	193	24	16.15	16.15	NUM
fcis-6020	193	25	1.05	1.05	NUM
fcis-6020	193	26	1.15	1.15	NUM
fcis-6020	193	27	1.37	1.37	NUM
fcis-6020	193	28	0.54	0.54	NUM
fcis-6020	193	29	0.04	0.04	NUM
fcis-6020	193	30	6	6	NUM
fcis-6020	193	31	.	.	PUNCT
fcis-6020	194	1	problem	problem	NOUN
fcis-6020	194	2	4	4	NUM
fcis-6020	194	3	the	the	DET
fcis-6020	194	4	problem	problem	NOUN
fcis-6020	194	5	4	4	NUM
fcis-6020	194	6	model	model	NOUN
fcis-6020	194	7	building	building	NOUN
fcis-6020	194	8	and	and	CCONJ
fcis-6020	194	9	solution	solution	NOUN
fcis-6020	194	10	process	process	NOUN
fcis-6020	194	11	is	be	AUX
fcis-6020	194	12	shown	show	VERB
fcis-6020	194	13	in	in	ADP
fcis-6020	194	14	figure	figure	NOUN
fcis-6020	194	15	16	16	NUM
fcis-6020	194	16	;	;	PUNCT
fcis-6020	194	17	figure	figure	VERB
fcis-6020	194	18	16	16	NUM
fcis-6020	194	19	.	.	PUNCT
fcis-6020	195	1	problem	problem	NOUN
fcis-6020	195	2	4	4	NUM
fcis-6020	195	3	solution	solution	NOUN
fcis-6020	195	4	process	process	NOUN
fcis-6020	195	5	6.1	6.1	NUM
fcis-6020	195	6	.	.	PUNCT
fcis-6020	196	1	model	model	NOUN
fcis-6020	196	2	establishment	establishment	NOUN
fcis-6020	196	3	and	and	CCONJ
fcis-6020	196	4	solving	solve	VERB
fcis-6020	196	5	this	this	DET
fcis-6020	196	6	paper	paper	NOUN
fcis-6020	196	7	first	first	ADV
fcis-6020	196	8	tests	test	VERB
fcis-6020	196	9	the	the	DET
fcis-6020	196	10	model	model	NOUN
fcis-6020	196	11	based	base	VERB
fcis-6020	196	12	on	on	ADP
fcis-6020	196	13	temporal	temporal	ADJ
fcis-6020	196	14	indicators	indicator	NOUN
fcis-6020	196	15	,	,	PUNCT
fcis-6020	196	16	which	which	PRON
fcis-6020	196	17	are	be	AUX
fcis-6020	196	18	the	the	DET
fcis-6020	196	19	degree	degree	NOUN
fcis-6020	196	20	of	of	ADP
fcis-6020	196	21	change	change	NOUN
fcis-6020	196	22	in	in	ADP
fcis-6020	196	23	the	the	DET
fcis-6020	196	24	patient	patient	NOUN
fcis-6020	196	25	's	's	PART
fcis-6020	196	26	condition	condition	NOUN
fcis-6020	196	27	from	from	ADP
fcis-6020	196	28	different	different	ADJ
fcis-6020	196	29	times	time	NOUN
fcis-6020	196	30	of	of	ADP
fcis-6020	196	31	testing	testing	NOUN
fcis-6020	196	32	,	,	PUNCT
fcis-6020	196	33	respectively	respectively	ADV
fcis-6020	196	34	.	.	PUNCT
fcis-6020	197	1	therefore	therefore	ADV
fcis-6020	197	2	,	,	PUNCT
fcis-6020	197	3	this	this	DET
fcis-6020	197	4	paper	paper	NOUN
fcis-6020	197	5	screens	screen	VERB
fcis-6020	197	6	the	the	DET
fcis-6020	197	7	tabular	tabular	PROPN
fcis-6020	197	8	data	datum	NOUN
fcis-6020	197	9	so	so	SCONJ
fcis-6020	197	10	that	that	SCONJ
fcis-6020	197	11	it	it	PRON
fcis-6020	197	12	can	can	AUX
fcis-6020	197	13	be	be	AUX
fcis-6020	197	14	analyzed	analyze	VERB
fcis-6020	197	15	using	use	VERB
fcis-6020	197	16	statistical	statistical	ADJ
fcis-6020	197	17	knowledge	knowledge	NOUN
fcis-6020	197	18	.	.	PUNCT
fcis-6020	198	1	also	also	ADV
fcis-6020	198	2	,	,	PUNCT
fcis-6020	198	3	for	for	ADP
fcis-6020	198	4	further	further	ADJ
fcis-6020	198	5	analysis	analysis	NOUN
fcis-6020	198	6	,	,	PUNCT
fcis-6020	198	7	this	this	DET
fcis-6020	198	8	paper	paper	NOUN
fcis-6020	198	9	argues	argue	VERB
fcis-6020	198	10	that	that	SCONJ
fcis-6020	198	11	the	the	DET
fcis-6020	198	12	evolutionary	evolutionary	ADJ
fcis-6020	198	13	pattern	pattern	NOUN
fcis-6020	198	14	of	of	ADP
fcis-6020	198	15	different	different	ADJ
fcis-6020	198	16	categories	category	NOUN
fcis-6020	198	17	of	of	ADP
fcis-6020	198	18	diseases	disease	NOUN
fcis-6020	198	19	over	over	ADP
fcis-6020	198	20	time	time	NOUN
fcis-6020	198	21	can	can	AUX
fcis-6020	198	22	be	be	AUX
fcis-6020	198	23	seen	see	VERB
fcis-6020	198	24	as	as	ADP
fcis-6020	198	25	changes	change	NOUN
fcis-6020	198	26	in	in	ADP
fcis-6020	198	27	brain	brain	NOUN
fcis-6020	198	28	characteristics	characteristic	NOUN
fcis-6020	198	29	and	and	CCONJ
fcis-6020	198	30	cognitive	cognitive	ADJ
fcis-6020	198	31	characteristics	characteristic	NOUN
fcis-6020	198	32	over	over	ADP
fcis-6020	198	33	the	the	DET
fcis-6020	198	34	time	time	NOUN
fcis-6020	198	35	of	of	ADP
fcis-6020	198	36	testing	testing	NOUN
fcis-6020	198	37	.	.	PUNCT
fcis-6020	199	1	also	also	ADV
fcis-6020	199	2	,	,	PUNCT
fcis-6020	199	3	due	due	ADP
fcis-6020	199	4	to	to	ADP
fcis-6020	199	5	the	the	DET
fcis-6020	199	6	large	large	ADJ
fcis-6020	199	7	size	size	NOUN
fcis-6020	199	8	of	of	ADP
fcis-6020	199	9	the	the	DET
fcis-6020	199	10	data	datum	NOUN
fcis-6020	199	11	,	,	PUNCT
fcis-6020	199	12	only	only	ADV
fcis-6020	199	13	a	a	DET
fcis-6020	199	14	small	small	ADJ
fcis-6020	199	15	sample	sample	NOUN
fcis-6020	199	16	of	of	ADP
fcis-6020	199	17	the	the	DET
fcis-6020	199	18	five	five	NUM
fcis-6020	199	19	characteristics	characteristic	NOUN
fcis-6020	199	20	is	be	AUX
fcis-6020	199	21	selected	select	VERB
fcis-6020	199	22	for	for	ADP
fcis-6020	199	23	analysis	analysis	NOUN
fcis-6020	199	24	in	in	ADP
fcis-6020	199	25	this	this	DET
fcis-6020	199	26	paper	paper	NOUN
fcis-6020	199	27	.	.	PUNCT
fcis-6020	200	1	figure	figure	NOUN
fcis-6020	200	2	17	17	NUM
fcis-6020	200	3	.	.	PUNCT
fcis-6020	200	4	trend	trend	NOUN
fcis-6020	200	5	line	line	NOUN
fcis-6020	200	6	graph	graph	NOUN
fcis-6020	200	7	of	of	ADP
fcis-6020	200	8	different	different	ADJ
fcis-6020	200	9	brain	brain	NOUN
fcis-6020	200	10	features	feature	VERB
fcis-6020	200	11	37	37	NUM
fcis-6020	200	12	figure	figure	NOUN
fcis-6020	200	13	18	18	NUM
fcis-6020	200	14	.	.	PUNCT
fcis-6020	200	15	trend	trend	NOUN
fcis-6020	200	16	line	line	NOUN
fcis-6020	200	17	graph	graph	NOUN
fcis-6020	200	18	of	of	ADP
fcis-6020	200	19	different	different	ADJ
fcis-6020	200	20	brain	brain	NOUN
fcis-6020	200	21	features	feature	NOUN
fcis-6020	200	22	from	from	ADP
fcis-6020	200	23	the	the	DET
fcis-6020	200	24	above	above	ADJ
fcis-6020	200	25	discounted	discount	VERB
fcis-6020	200	26	graph	graph	NOUN
fcis-6020	200	27	of	of	ADP
fcis-6020	200	28	data	datum	NOUN
fcis-6020	200	29	trends	trend	NOUN
fcis-6020	200	30	,	,	PUNCT
fcis-6020	200	31	it	it	PRON
fcis-6020	200	32	can	can	AUX
fcis-6020	200	33	be	be	AUX
fcis-6020	200	34	seen	see	VERB
fcis-6020	200	35	that	that	SCONJ
fcis-6020	200	36	most	most	ADJ
fcis-6020	200	37	of	of	ADP
fcis-6020	200	38	the	the	DET
fcis-6020	200	39	indicators	indicator	NOUN
fcis-6020	200	40	have	have	VERB
fcis-6020	200	41	a	a	DET
fcis-6020	200	42	tendency	tendency	NOUN
fcis-6020	200	43	to	to	PART
fcis-6020	200	44	increase	increase	VERB
fcis-6020	200	45	,	,	PUNCT
fcis-6020	200	46	and	and	CCONJ
fcis-6020	200	47	the	the	DET
fcis-6020	200	48	magnitude	magnitude	NOUN
fcis-6020	200	49	of	of	ADP
fcis-6020	200	50	the	the	DET
fcis-6020	200	51	values	value	NOUN
fcis-6020	200	52	of	of	ADP
fcis-6020	200	53	a	a	DET
fcis-6020	200	54	few	few	ADJ
fcis-6020	200	55	indicators	indicator	NOUN
fcis-6020	200	56	maintains	maintain	VERB
fcis-6020	200	57	within	within	ADP
fcis-6020	200	58	a	a	DET
fcis-6020	200	59	certain	certain	ADJ
fcis-6020	200	60	fluctuation	fluctuation	NOUN
fcis-6020	200	61	range	range	NOUN
fcis-6020	200	62	,	,	PUNCT
fcis-6020	200	63	which	which	PRON
fcis-6020	200	64	proves	prove	VERB
fcis-6020	200	65	that	that	SCONJ
fcis-6020	200	66	along	along	ADP
fcis-6020	200	67	with	with	ADP
fcis-6020	200	68	the	the	DET
fcis-6020	200	69	passage	passage	NOUN
fcis-6020	200	70	of	of	ADP
fcis-6020	200	71	time	time	NOUN
fcis-6020	200	72	,	,	PUNCT
fcis-6020	200	73	there	there	PRON
fcis-6020	200	74	is	be	VERB
fcis-6020	200	75	a	a	DET
fcis-6020	200	76	characteristic	characteristic	ADJ
fcis-6020	200	77	change	change	NOUN
fcis-6020	200	78	process	process	NOUN
fcis-6020	200	79	in	in	ADP
fcis-6020	200	80	the	the	DET
fcis-6020	200	81	degree	degree	NOUN
fcis-6020	200	82	of	of	ADP
fcis-6020	200	83	disease	disease	NOUN
fcis-6020	200	84	symptoms	symptom	NOUN
fcis-6020	200	85	,	,	PUNCT
fcis-6020	200	86	and	and	CCONJ
fcis-6020	200	87	it	it	PRON
fcis-6020	200	88	can	can	AUX
fcis-6020	200	89	be	be	AUX
fcis-6020	200	90	seen	see	VERB
fcis-6020	200	91	from	from	ADP
fcis-6020	200	92	the	the	DET
fcis-6020	200	93	graph	graph	NOUN
fcis-6020	200	94	that	that	PRON
fcis-6020	200	95	the	the	DET
fcis-6020	200	96	values	value	NOUN
fcis-6020	200	97	of	of	ADP
fcis-6020	200	98	ravlt_immediate	ravlt_immediate	ADJ
fcis-6020	200	99	,	,	PUNCT
fcis-6020	200	100	ravlt_learning	ravlt_learning	NOUN
fcis-6020	200	101	,	,	PUNCT
fcis-6020	200	102	ravlt	ravlt	VERB
fcis-6020	200	103	_	_	NOUN
fcis-6020	200	104	forgetting	forget	VERB
fcis-6020	200	105	and	and	CCONJ
fcis-6020	200	106	other	other	ADJ
fcis-6020	200	107	indicators	indicator	NOUN
fcis-6020	200	108	obviously	obviously	ADV
fcis-6020	200	109	have	have	VERB
fcis-6020	200	110	a	a	DET
fcis-6020	200	111	decreasing	decrease	VERB
fcis-6020	200	112	trend	trend	NOUN
fcis-6020	200	113	,	,	PUNCT
fcis-6020	200	114	so	so	CCONJ
fcis-6020	200	115	when	when	SCONJ
fcis-6020	200	116	studying	study	VERB
fcis-6020	200	117	the	the	DET
fcis-6020	200	118	changes	change	NOUN
fcis-6020	200	119	of	of	ADP
fcis-6020	200	120	brain	brain	NOUN
fcis-6020	200	121	characteristics	characteristic	NOUN
fcis-6020	200	122	and	and	CCONJ
fcis-6020	200	123	cognitive	cognitive	ADJ
fcis-6020	200	124	characteristics	characteristic	NOUN
fcis-6020	200	125	with	with	ADP
fcis-6020	200	126	the	the	DET
fcis-6020	200	127	detection	detection	NOUN
fcis-6020	200	128	time	time	NOUN
fcis-6020	200	129	,	,	PUNCT
fcis-6020	200	130	this	this	DET
fcis-6020	200	131	paper	paper	NOUN
fcis-6020	200	132	chooses	choose	VERB
fcis-6020	200	133	to	to	PART
fcis-6020	200	134	divide	divide	VERB
fcis-6020	200	135	the	the	DET
fcis-6020	200	136	data	datum	NOUN
fcis-6020	200	137	into	into	ADP
fcis-6020	200	138	behavioral	behavioral	ADJ
fcis-6020	200	139	characteristics	characteristic	NOUN
fcis-6020	200	140	and	and	CCONJ
fcis-6020	200	141	brain	brain	NOUN
fcis-6020	200	142	characteristics	characteristic	NOUN
fcis-6020	200	143	,	,	PUNCT
fcis-6020	200	144	and	and	CCONJ
fcis-6020	200	145	analyze	analyze	VERB
fcis-6020	200	146	different	different	ADJ
fcis-6020	200	147	indicators	indicator	NOUN
fcis-6020	200	148	under	under	ADP
fcis-6020	200	149	different	different	ADJ
fcis-6020	200	150	types	type	NOUN
fcis-6020	200	151	,	,	PUNCT
fcis-6020	200	152	where	where	SCONJ
fcis-6020	200	153	the	the	DET
fcis-6020	200	154	data	data	NOUN
fcis-6020	200	155	trend	trend	NOUN
fcis-6020	200	156	data	datum	NOUN
fcis-6020	200	157	of	of	ADP
fcis-6020	200	158	cognitive	cognitive	ADJ
fcis-6020	200	159	characteristics	characteristic	NOUN
fcis-6020	200	160	are	be	AUX
fcis-6020	200	161	shown	show	VERB
fcis-6020	200	162	below	below	ADP
fcis-6020	200	163	.	.	PUNCT
fcis-6020	201	1	table	table	NOUN
fcis-6020	201	2	6	6	NUM
fcis-6020	201	3	.	.	PUNCT
fcis-6020	201	4	trend	trend	NOUN
fcis-6020	201	5	data	datum	NOUN
fcis-6020	201	6	for	for	ADP
fcis-6020	201	7	different	different	ADJ
fcis-6020	201	8	brain	brain	NOUN
fcis-6020	201	9	characteristics	characteristic	NOUN
fcis-6020	201	10	imageuid	imageuid	NOUN
fcis-6020	201	11	ventricles	ventricle	NOUN
fcis-6020	201	12	hippocampus	hippocampus	PROPN
fcis-6020	201	13	wholebrain	wholebrain	ADV
fcis-6020	201	14	entorhinal	entorhinal	ADJ
fcis-6020	201	15	fusiform	fusiform	NOUN
fcis-6020	201	16	midtemp	midtemp	PROPN
fcis-6020	201	17	icv	icv	PROPN
fcis-6020	201	18	118697	118697	NUM
fcis-6020	201	19	38712	38712	NUM
fcis-6020	201	20	4495	4495	NUM
fcis-6020	201	21	972134	972134	NUM
fcis-6020	201	22	2239	2239	NUM
fcis-6020	201	23	19818	19818	NUM
fcis-6020	201	24	20622	20622	NUM
fcis-6020	201	25	1524760	1524760	NUM
fcis-6020	201	26	118672	118672	NUM
fcis-6020	201	27	38374	38374	NUM
fcis-6020	201	28	0	0	NUM
fcis-6020	201	29	964788	964788	NUM
fcis-6020	201	30	0	0	NUM
fcis-6020	201	31	0	0	NUM
fcis-6020	201	32	0	0	NUM
fcis-6020	201	33	1513350	1513350	NUM
fcis-6020	201	34	35725	35725	NUM
fcis-6020	201	35	41869	41869	NUM
fcis-6020	201	36	0	0	NUM
fcis-6020	201	37	971882	971882	NUM
fcis-6020	201	38	0	0	NUM
fcis-6020	201	39	0	0	NUM
fcis-6020	201	40	0	0	NUM
fcis-6020	201	41	1514160	1514160	NUM
fcis-6020	201	42	59854	59854	NUM
fcis-6020	201	43	44002	44002	NUM
fcis-6020	201	44	0	0	SYM
fcis-6020	201	45	931047	931047	NUM
fcis-6020	201	46	0	0	NUM
fcis-6020	201	47	0	0	NUM
fcis-6020	201	48	0	0	NUM
fcis-6020	201	49	1527030	1527030	NUM
fcis-6020	201	50	83343	83343	NUM
fcis-6020	201	51	44139	44139	NUM
fcis-6020	201	52	0	0	NUM
fcis-6020	201	53	945435	945435	NUM
fcis-6020	201	54	0	0	NUM
fcis-6020	201	55	0	0	NUM
fcis-6020	201	56	0	0	NUM
fcis-6020	201	57	1523690	1523690	NUM
fcis-6020	201	58	129868	129868	NUM
fcis-6020	201	59	49536	49536	NUM
fcis-6020	201	60	0	0	NUM
fcis-6020	201	61	952495	952495	NUM
fcis-6020	201	62	0	0	NUM
fcis-6020	201	63	0	0	NUM
fcis-6020	201	64	0	0	NUM
fcis-6020	201	65	1504090	1504090	NUM
fcis-6020	201	66	205579	205579	NUM
fcis-6020	201	67	55599	55599	NUM
fcis-6020	201	68	0	0	NUM
fcis-6020	201	69	912309	912309	NUM
fcis-6020	201	70	0	0	NUM
fcis-6020	201	71	0	0	NUM
fcis-6020	201	72	0	0	NUM
fcis-6020	201	73	1524340	1524340	NUM
fcis-6020	201	74	7	7	NUM
fcis-6020	201	75	.	.	PUNCT
fcis-6020	202	1	summary	summary	NOUN
fcis-6020	202	2	in	in	ADP
fcis-6020	202	3	this	this	DET
fcis-6020	202	4	paper	paper	NOUN
fcis-6020	202	5	,	,	PUNCT
fcis-6020	202	6	we	we	PRON
fcis-6020	202	7	first	first	ADV
fcis-6020	202	8	determine	determine	VERB
fcis-6020	202	9	the	the	DET
fcis-6020	202	10	importance	importance	NOUN
fcis-6020	202	11	index	index	NOUN
fcis-6020	202	12	of	of	ADP
fcis-6020	202	13	different	different	ADJ
fcis-6020	202	14	indicators	indicator	NOUN
fcis-6020	202	15	with	with	ADP
fcis-6020	202	16	alzheimer	alzheimer	PROPN
fcis-6020	202	17	's	's	PART
fcis-6020	202	18	disease	disease	NOUN
fcis-6020	202	19	by	by	ADP
fcis-6020	202	20	constructing	construct	VERB
fcis-6020	202	21	a	a	DET
fcis-6020	202	22	correlation	correlation	NOUN
fcis-6020	202	23	analysis	analysis	NOUN
fcis-6020	202	24	through	through	ADP
fcis-6020	202	25	pre	pre	ADJ
fcis-6020	202	26	-	-	ADJ
fcis-6020	202	27	processing	processing	NOUN
fcis-6020	202	28	of	of	ADP
fcis-6020	202	29	the	the	DET
fcis-6020	202	30	data	datum	NOUN
fcis-6020	202	31	.	.	PUNCT
fcis-6020	203	1	we	we	PRON
fcis-6020	203	2	then	then	ADV
fcis-6020	203	3	use	use	VERB
fcis-6020	203	4	structural	structural	ADJ
fcis-6020	203	5	brain	brain	NOUN
fcis-6020	203	6	features	feature	NOUN
fcis-6020	203	7	and	and	CCONJ
fcis-6020	203	8	cognitive	cognitive	ADJ
fcis-6020	203	9	behavioural	behavioural	ADJ
fcis-6020	203	10	features	feature	NOUN
fcis-6020	203	11	to	to	PART
fcis-6020	203	12	design	design	VERB
fcis-6020	203	13	an	an	DET
fcis-6020	203	14	intelligent	intelligent	ADJ
fcis-6020	203	15	diagnostic	diagnostic	ADJ
fcis-6020	203	16	model	model	NOUN
fcis-6020	203	17	of	of	ADP
fcis-6020	203	18	alzheimer	alzheimer	PROPN
fcis-6020	203	19	's	's	PART
fcis-6020	203	20	disease	disease	NOUN
fcis-6020	203	21	in	in	ADP
fcis-6020	203	22	which	which	PRON
fcis-6020	203	23	we	we	PRON
fcis-6020	203	24	choose	choose	VERB
fcis-6020	203	25	to	to	PART
fcis-6020	203	26	use	use	VERB
fcis-6020	203	27	a	a	DET
fcis-6020	203	28	decision	decision	NOUN
fcis-6020	203	29	tree	tree	NOUN
fcis-6020	203	30	as	as	ADP
fcis-6020	203	31	a	a	DET
fcis-6020	203	32	model	model	NOUN
fcis-6020	203	33	for	for	ADP
fcis-6020	203	34	classification	classification	NOUN
fcis-6020	203	35	.	.	PUNCT
fcis-6020	204	1	secondly	secondly	ADV
fcis-6020	204	2	,	,	PUNCT
fcis-6020	204	3	we	we	PRON
fcis-6020	204	4	used	use	VERB
fcis-6020	204	5	a	a	DET
fcis-6020	204	6	time	time	NOUN
fcis-6020	204	7	series	series	NOUN
fcis-6020	204	8	model	model	NOUN
fcis-6020	204	9	to	to	PART
fcis-6020	204	10	analyse	analyse	VERB
fcis-6020	204	11	the	the	DET
fcis-6020	204	12	relevant	relevant	ADJ
fcis-6020	204	13	data	datum	NOUN
fcis-6020	204	14	by	by	ADP
fcis-6020	204	15	arguing	argue	VERB
fcis-6020	204	16	that	that	SCONJ
fcis-6020	204	17	the	the	DET
fcis-6020	204	18	evolutionary	evolutionary	ADJ
fcis-6020	204	19	patterns	pattern	NOUN
fcis-6020	204	20	of	of	ADP
fcis-6020	204	21	different	different	ADJ
fcis-6020	204	22	categories	category	NOUN
fcis-6020	204	23	of	of	ADP
fcis-6020	204	24	disease	disease	NOUN
fcis-6020	204	25	over	over	ADP
fcis-6020	204	26	time	time	NOUN
fcis-6020	204	27	can	can	AUX
fcis-6020	204	28	be	be	AUX
fcis-6020	204	29	seen	see	VERB
fcis-6020	204	30	as	as	ADP
fcis-6020	204	31	changes	change	NOUN
fcis-6020	204	32	in	in	ADP
fcis-6020	204	33	brain	brain	NOUN
fcis-6020	204	34	features	feature	NOUN
fcis-6020	204	35	and	and	CCONJ
fcis-6020	204	36	cognitive	cognitive	ADJ
fcis-6020	204	37	characteristics	characteristic	NOUN
fcis-6020	204	38	over	over	ADP
fcis-6020	204	39	the	the	DET
fcis-6020	204	40	time	time	NOUN
fcis-6020	204	41	of	of	ADP
fcis-6020	204	42	detection	detection	NOUN
fcis-6020	204	43	.	.	PUNCT
fcis-6020	205	1	finally	finally	ADV
fcis-6020	205	2	,	,	PUNCT
fcis-6020	205	3	we	we	PRON
fcis-6020	205	4	used	use	VERB
fcis-6020	205	5	the	the	DET
fcis-6020	205	6	offering	offering	NOUN
fcis-6020	205	7	to	to	PART
fcis-6020	205	8	review	review	VERB
fcis-6020	205	9	the	the	DET
fcis-6020	205	10	etiology	etiology	NOUN
fcis-6020	205	11	and	and	CCONJ
fcis-6020	205	12	onset	onset	ADJ
fcis-6020	205	13	symptoms	symptom	NOUN
fcis-6020	205	14	of	of	ADP
fcis-6020	205	15	alzheimer	alzheimer	PROPN
fcis-6020	205	16	's	's	PART
fcis-6020	205	17	symptoms	symptom	NOUN
fcis-6020	205	18	,	,	PUNCT
fcis-6020	205	19	summarise	summarise	VERB
fcis-6020	205	20	and	and	CCONJ
fcis-6020	205	21	analyse	analyse	VERB
fcis-6020	205	22	the	the	DET
fcis-6020	205	23	distribution	distribution	NOUN
fcis-6020	205	24	of	of	ADP
fcis-6020	205	25	different	different	ADJ
fcis-6020	205	26	indicators	indicator	NOUN
fcis-6020	205	27	at	at	ADP
fcis-6020	205	28	different	different	ADJ
fcis-6020	205	29	onset	onset	NOUN
fcis-6020	205	30	stages	stage	NOUN
fcis-6020	205	31	,	,	PUNCT
fcis-6020	205	32	and	and	CCONJ
fcis-6020	205	33	provide	provide	VERB
fcis-6020	205	34	different	different	ADJ
fcis-6020	205	35	early	early	ADJ
fcis-6020	205	36	intervention	intervention	NOUN
fcis-6020	205	37	and	and	CCONJ
fcis-6020	205	38	diagnostic	diagnostic	ADJ
fcis-6020	205	39	criteria	criterion	NOUN
fcis-6020	205	40	for	for	ADP
fcis-6020	205	41	the	the	DET
fcis-6020	205	42	five	five	NUM
fcis-6020	205	43	categories	category	NOUN
fcis-6020	205	44	of	of	ADP
fcis-6020	205	45	cn	cn	PROPN
fcis-6020	205	46	,	,	PUNCT
fcis-6020	205	47	smc	smc	PROPN
fcis-6020	205	48	,	,	PUNCT
fcis-6020	205	49	emci	emci	NOUN
fcis-6020	205	50	,	,	PUNCT
fcis-6020	205	51	lmci	lmci	NOUN
fcis-6020	205	52	and	and	CCONJ
fcis-6020	205	53	ad	ad	NOUN
fcis-6020	205	54	.	.	PUNCT
fcis-6020	206	1	references	reference	NOUN
fcis-6020	206	2	[	[	X
fcis-6020	206	3	1	1	NUM
fcis-6020	206	4	]	]	X
fcis-6020	206	5	du	du	PROPN
fcis-6020	206	6	jia	jia	PROPN
fcis-6020	206	7	,	,	PUNCT
fcis-6020	206	8	fu	fu	PROPN
fcis-6020	206	9	yan	yan	PROPN
fcis-6020	206	10	,	,	PUNCT
fcis-6020	206	11	fan	fan	PROPN
fcis-6020	206	12	jia	jia	PROPN
fcis-6020	206	13	,	,	PUNCT
fcis-6020	206	14	zhou	zhou	PROPN
fcis-6020	206	15	miaorong	miaorong	PROPN
fcis-6020	206	16	&	&	CCONJ
fcis-6020	206	17	zhang	zhang	PROPN
fcis-6020	206	18	yeting	yeting	PROPN
fcis-6020	206	19	:	:	PUNCT
fcis-6020	206	20	aerobic	aerobic	ADJ
fcis-6020	206	21	exercise	exercise	NOUN
fcis-6020	206	22	intervention	intervention	NOUN
fcis-6020	206	23	with	with	ADP
fcis-6020	206	24	aβ_(1	aβ_(1	PROPN
fcis-6020	206	25	-	-	PUNCT
fcis-6020	206	26	42	42	NUM
fcis-6020	206	27	)	)	PUNCT
fcis-6020	206	28	induced	induce	VERB
fcis-6020	206	29	changes	change	NOUN
fcis-6020	206	30	in	in	ADP
fcis-6020	206	31	hippocampal	hippocampal	ADJ
fcis-6020	206	32	synaptic	synaptic	ADJ
fcis-6020	206	33	structure	structure	NOUN
fcis-6020	206	34	and	and	CCONJ
fcis-6020	206	35	synaptic	synaptic	ADJ
fcis-6020	206	36	proteins	protein	NOUN
fcis-6020	206	37	in	in	ADP
fcis-6020	206	38	rats	rat	NOUN
fcis-6020	206	39	with	with	ADP
fcis-6020	206	40	alzheimer	alzheimer	PROPN
fcis-6020	206	41	's	's	PART
fcis-6020	206	42	disease	disease	NOUN
fcis-6020	206	43	.	.	PUNCT
fcis-6020	207	1	chinese	chinese	ADJ
fcis-6020	207	2	journal	journal	PROPN
fcis-6020	207	3	of	of	ADP
fcis-6020	207	4	tissue	tissue	NOUN
fcis-6020	207	5	engineering	engineering	NOUN
fcis-6020	207	6	research	research	NOUN
fcis-6020	207	7	.	.	PUNCT
fcis-6020	208	1	[	[	X
fcis-6020	208	2	2	2	X
fcis-6020	208	3	]	]	PUNCT
fcis-6020	208	4	lv	lv	PROPN
fcis-6020	208	5	romance	romance	NOUN
fcis-6020	208	6	&	&	CCONJ
fcis-6020	208	7	li	li	PROPN
fcis-6020	208	8	aiping	aiping	PROPN
fcis-6020	208	9	.	.	PUNCT
fcis-6020	209	1	(	(	PUNCT
fcis-6020	209	2	2022	2022	NUM
fcis-6020	209	3	)	)	PUNCT
fcis-6020	209	4	.	.	PUNCT
fcis-6020	210	1	role	role	NOUN
fcis-6020	210	2	of	of	ADP
fcis-6020	210	3	perineuronal	perineuronal	ADJ
fcis-6020	210	4	matrix	matrix	NOUN
fcis-6020	210	5	network	network	NOUN
fcis-6020	210	6	in	in	ADP
fcis-6020	210	7	regulating	regulate	VERB
fcis-6020	210	8	cognitive	cognitive	ADJ
fcis-6020	210	9	function	function	NOUN
fcis-6020	210	10	and	and	CCONJ
fcis-6020	210	11	alzheimer	alzheimer	PROPN
fcis-6020	210	12	's	's	PART
fcis-6020	210	13	disease	disease	NOUN
fcis-6020	210	14	.	.	PUNCT
fcis-6020	211	1	progress	progress	NOUN
fcis-6020	211	2	in	in	ADP
fcis-6020	211	3	physiological	physiological	ADJ
fcis-6020	211	4	science	science	NOUN
fcis-6020	211	5	(	(	PUNCT
fcis-6020	211	6	02),100	02),100	NOUN
fcis-6020	211	7	-	-	SYM
fcis-6020	211	8	104	104	NUM
fcis-6020	211	9	.	.	PUNCT
fcis-6020	212	1	[	[	X
fcis-6020	212	2	3	3	X
fcis-6020	212	3	]	]	X
fcis-6020	212	4	qu	qu	X
fcis-6020	212	5	wenying	wenying	PROPN
fcis-6020	212	6	,	,	PUNCT
fcis-6020	212	7	xie	xie	PROPN
fcis-6020	212	8	jianguo	jianguo	PROPN
fcis-6020	212	9	,	,	PUNCT
fcis-6020	212	10	liang	liang	PROPN
fcis-6020	212	11	anxin	anxin	PROPN
fcis-6020	212	12	&	&	CCONJ
fcis-6020	212	13	shang	shang	PROPN
fcis-6020	212	14	xuefeng	xuefeng	PROPN
fcis-6020	212	15	.	.	PUNCT
fcis-6020	213	1	(	(	PUNCT
fcis-6020	213	2	2021	2021	NUM
fcis-6020	213	3	)	)	PUNCT
fcis-6020	213	4	.	.	PUNCT
fcis-6020	214	1	effects	effect	NOUN
fcis-6020	214	2	of	of	ADP
fcis-6020	214	3	astragalus	astragalus	NOUN
fcis-6020	214	4	polysaccharides	polysaccharide	NOUN
fcis-6020	214	5	on	on	ADP
fcis-6020	214	6	nerve	nerve	NOUN
fcis-6020	214	7	cell	cell	NOUN
fcis-6020	214	8	activity	activity	NOUN
fcis-6020	214	9	,	,	PUNCT
fcis-6020	214	10	cognitive	cognitive	ADJ
fcis-6020	214	11	function	function	NOUN
fcis-6020	214	12	and	and	CCONJ
fcis-6020	214	13	caspase-9	caspase-9	NUM
fcis-6020	214	14	expression	expression	NOUN
fcis-6020	214	15	levels	level	NOUN
fcis-6020	214	16	in	in	ADP
fcis-6020	214	17	rats	rat	NOUN
fcis-6020	214	18	with	with	ADP
fcis-6020	214	19	alzheimer	alzheimer	PROPN
fcis-6020	214	20	's	's	PART
fcis-6020	214	21	disease	disease	NOUN
fcis-6020	214	22	.	.	PUNCT
fcis-6020	215	1	stroke	stroke	NOUN
fcis-6020	215	2	and	and	CCONJ
fcis-6020	215	3	neurological	neurological	ADJ
fcis-6020	215	4	diseases	disease	NOUN
fcis-6020	215	5	(	(	PUNCT
fcis-6020	215	6	05	05	NUM
fcis-6020	215	7	)	)	PUNCT
fcis-6020	215	8	,	,	PUNCT
fcis-6020	215	9	543	543	NUM
fcis-6020	215	10	-	-	SYM
fcis-6020	215	11	549	549	NUM
fcis-6020	215	12	.	.	PUNCT
fcis-6020	216	1	[	[	X
fcis-6020	216	2	4	4	NUM
fcis-6020	216	3	]	]	X
fcis-6020	216	4	meng	meng	PROPN
fcis-6020	216	5	kaitao	kaitao	PROPN
fcis-6020	216	6	,	,	PUNCT
fcis-6020	216	7	zhang	zhang	PROPN
fcis-6020	216	8	jianguo	jianguo	PROPN
fcis-6020	216	9	,	,	PUNCT
fcis-6020	216	10	liu	liu	PROPN
fcis-6020	216	11	chong	chong	PROPN
fcis-6020	216	12	,	,	PUNCT
fcis-6020	216	13	ma	ma	PROPN
fcis-6020	216	14	xiuhong	xiuhong	PROPN
fcis-6020	216	15	&	&	CCONJ
fcis-6020	216	16	song	song	PROPN
fcis-6020	216	17	yuqiang	yuqiang	PROPN
fcis-6020	216	18	.	.	PUNCT
fcis-6020	216	19	(	(	PUNCT
fcis-6020	216	20	2021	2021	NUM
fcis-6020	216	21	)	)	PUNCT
fcis-6020	216	22	.	.	PUNCT
fcis-6020	217	1	correlation	correlation	NOUN
fcis-6020	217	2	analysis	analysis	NOUN
fcis-6020	217	3	between	between	ADP
fcis-6020	217	4	serum	serum	NOUN
fcis-6020	217	5	mir-128	mir-128	NOUN
fcis-6020	217	6	and	and	CCONJ
fcis-6020	217	7	mir-223	mir-223	VERB
fcis-6020	217	8	expression	expression	NOUN
fcis-6020	217	9	levels	level	NOUN
fcis-6020	217	10	and	and	CCONJ
fcis-6020	217	11	inflammatory	inflammatory	ADJ
fcis-6020	217	12	response	response	NOUN
fcis-6020	217	13	and	and	CCONJ
fcis-6020	217	14	cognitive	cognitive	ADJ
fcis-6020	217	15	function	function	NOUN
fcis-6020	217	16	in	in	ADP
fcis-6020	217	17	patients	patient	NOUN
fcis-6020	217	18	with	with	ADP
fcis-6020	217	19	alzheimer	alzheimer	PROPN
fcis-6020	217	20	's	's	PART
fcis-6020	217	21	disease	disease	NOUN
fcis-6020	217	22	of	of	ADP
fcis-6020	217	23	different	different	ADJ
fcis-6020	217	24	severity	severity	NOUN
fcis-6020	217	25	.	.	PUNCT
fcis-6020	218	1	stroke	stroke	NOUN
fcis-6020	218	2	and	and	CCONJ
fcis-6020	218	3	neurological	neurological	ADJ
fcis-6020	218	4	diseases	disease	NOUN
fcis-6020	218	5	(	(	PUNCT
fcis-6020	218	6	06	06	NUM
fcis-6020	218	7	)	)	PUNCT
fcis-6020	218	8	,	,	PUNCT
fcis-6020	218	9	667	667	NUM
fcis-6020	218	10	-	-	SYM
fcis-6020	218	11	671	671	NUM
fcis-6020	218	12	.	.	PUNCT