id	sid	tid	token	lemma	pos
fcis-23843	1	1	frontiers	frontier	NOUN
fcis-23843	1	2	in	in	ADP
fcis-23843	1	3	computing	computing	NOUN
fcis-23843	1	4	and	and	CCONJ
fcis-23843	1	5	intelligent	intelligent	ADJ
fcis-23843	1	6	systems	system	NOUN
fcis-23843	1	7	issn	issn	VERB
fcis-23843	1	8	:	:	PUNCT
fcis-23843	1	9	2832	2832	NUM
fcis-23843	1	10	-	-	SYM
fcis-23843	1	11	6024	6024	NUM
fcis-23843	1	12	|	|	NOUN
fcis-23843	1	13	vol	vol	NOUN
fcis-23843	1	14	.	.	PROPN
fcis-23843	2	1	9	9	NUM
fcis-23843	2	2	,	,	PUNCT
fcis-23843	2	3	no	no	INTJ
fcis-23843	2	4	.	.	NOUN
fcis-23843	2	5	1	1	NUM
fcis-23843	2	6	,	,	PUNCT
fcis-23843	2	7	2024	2024	NUM
fcis-23843	2	8	23	23	NUM
fcis-23843	2	9	from	from	ADP
fcis-23843	2	10	data	datum	NOUN
fcis-23843	2	11	to	to	ADP
fcis-23843	2	12	decisions	decision	NOUN
fcis-23843	2	13	:	:	PUNCT
fcis-23843	2	14	the	the	DET
fcis-23843	2	15	integration	integration	NOUN
fcis-23843	2	16	of	of	ADP
fcis-23843	2	17	ai	ai	VERB
fcis-23843	2	18	in	in	ADP
fcis-23843	2	19	epidemiological	epidemiological	ADJ
fcis-23843	2	20	research	research	NOUN
fcis-23843	2	21	yang	yang	PROPN
fcis-23843	2	22	li	li	PROPN
fcis-23843	3	1	*	*	PROPN
fcis-23843	3	2	,	,	PUNCT
fcis-23843	3	3	yanchen	yanchen	ADJ
fcis-23843	3	4	zou	zou	PROPN
fcis-23843	3	5	,	,	PUNCT
fcis-23843	3	6	haoqi	haoqi	PROPN
fcis-23843	3	7	xu	xu	PROPN
fcis-23843	3	8	xi’an	xi’an	PROPN
fcis-23843	3	9	jiaotong	jiaotong	PROPN
fcis-23843	3	10	–	–	PUNCT
fcis-23843	3	11	liverpool	liverpool	PROPN
fcis-23843	3	12	university	university	NOUN
fcis-23843	3	13	,	,	PUNCT
fcis-23843	3	14	suzhou	suzhou	PROPN
fcis-23843	3	15	,	,	PUNCT
fcis-23843	3	16	jiangsu	jiangsu	PROPN
fcis-23843	3	17	,	,	PUNCT
fcis-23843	3	18	china	china	PROPN
fcis-23843	3	19	*	*	PUNCT
fcis-23843	3	20	corresponding	correspond	VERB
fcis-23843	3	21	author	author	NOUN
fcis-23843	3	22	:	:	PUNCT
fcis-23843	3	23	yang	yang	PROPN
fcis-23843	3	24	li	li	PROPN
fcis-23843	3	25	abstract	abstract	PROPN
fcis-23843	3	26	:	:	PUNCT
fcis-23843	3	27	epidemiological	epidemiological	ADJ
fcis-23843	3	28	research	research	NOUN
fcis-23843	3	29	is	be	AUX
fcis-23843	3	30	the	the	DET
fcis-23843	3	31	cornerstone	cornerstone	NOUN
fcis-23843	3	32	of	of	ADP
fcis-23843	3	33	public	public	ADJ
fcis-23843	3	34	health	health	NOUN
fcis-23843	3	35	and	and	CCONJ
fcis-23843	3	36	ultimately	ultimately	ADV
fcis-23843	3	37	contributes	contribute	VERB
fcis-23843	3	38	to	to	ADP
fcis-23843	3	39	protecting	protect	VERB
fcis-23843	3	40	human	human	ADJ
fcis-23843	3	41	health	health	NOUN
fcis-23843	3	42	by	by	ADP
fcis-23843	3	43	understanding	understand	VERB
fcis-23843	3	44	disease	disease	NOUN
fcis-23843	3	45	dynamics	dynamic	NOUN
fcis-23843	3	46	,	,	PUNCT
fcis-23843	3	47	identifying	identify	VERB
fcis-23843	3	48	risk	risk	NOUN
fcis-23843	3	49	factors	factor	NOUN
fcis-23843	3	50	for	for	ADP
fcis-23843	3	51	infection	infection	NOUN
fcis-23843	3	52	and	and	CCONJ
fcis-23843	3	53	disease	disease	NOUN
fcis-23843	3	54	development	development	NOUN
fcis-23843	3	55	,	,	PUNCT
fcis-23843	3	56	and	and	CCONJ
fcis-23843	3	57	informing	inform	VERB
fcis-23843	3	58	containment	containment	NOUN
fcis-23843	3	59	measures	measure	NOUN
fcis-23843	3	60	.	.	PUNCT
fcis-23843	4	1	epidemiological	epidemiological	ADJ
fcis-23843	4	2	approaches	approach	NOUN
fcis-23843	4	3	in	in	ADP
fcis-23843	4	4	the	the	DET
fcis-23843	4	5	traditional	traditional	ADJ
fcis-23843	4	6	sense	sense	NOUN
fcis-23843	4	7	are	be	AUX
fcis-23843	4	8	influenced	influence	VERB
fcis-23843	4	9	by	by	ADP
fcis-23843	4	10	significant	significant	ADJ
fcis-23843	4	11	difficulties	difficulty	NOUN
fcis-23843	4	12	especially	especially	ADV
fcis-23843	4	13	when	when	SCONJ
fcis-23843	4	14	dealing	deal	VERB
fcis-23843	4	15	with	with	ADP
fcis-23843	4	16	big	big	ADJ
fcis-23843	4	17	and	and	CCONJ
fcis-23843	4	18	heterogeneous	heterogeneous	ADJ
fcis-23843	4	19	data	data	NOUN
fcis-23843	4	20	sets	set	NOUN
fcis-23843	4	21	.	.	PUNCT
fcis-23843	5	1	they	they	PRON
fcis-23843	5	2	must	must	AUX
fcis-23843	5	3	confront	confront	VERB
fcis-23843	5	4	a	a	DET
fcis-23843	5	5	slow	slow	ADJ
fcis-23843	5	6	decision	decision	NOUN
fcis-23843	5	7	-	-	PUNCT
fcis-23843	5	8	making	make	VERB
fcis-23843	5	9	process	process	NOUN
fcis-23843	5	10	.	.	PUNCT
fcis-23843	6	1	this	this	DET
fcis-23843	6	2	paper	paper	NOUN
fcis-23843	6	3	investigates	investigate	VERB
fcis-23843	6	4	incorporating	incorporate	VERB
fcis-23843	6	5	artificial	artificial	ADJ
fcis-23843	6	6	intelligence	intelligence	NOUN
fcis-23843	6	7	ai	ai	NOUN
fcis-23843	6	8	technologies	technology	NOUN
fcis-23843	6	9	in	in	ADP
fcis-23843	6	10	epidemiological	epidemiological	ADJ
fcis-23843	6	11	research	research	NOUN
fcis-23843	6	12	settings	setting	NOUN
fcis-23843	6	13	to	to	PART
fcis-23843	6	14	improve	improve	VERB
fcis-23843	6	15	processing	processing	NOUN
fcis-23843	6	16	efficiency	efficiency	NOUN
fcis-23843	6	17	,	,	PUNCT
fcis-23843	6	18	strengthen	strengthen	VERB
fcis-23843	6	19	analytical	analytical	ADJ
fcis-23843	6	20	abilities	ability	NOUN
fcis-23843	6	21	,	,	PUNCT
fcis-23843	6	22	and	and	CCONJ
fcis-23843	6	23	promote	promote	VERB
fcis-23843	6	24	evidence	evidence	NOUN
fcis-23843	6	25	-	-	PUNCT
fcis-23843	6	26	based	base	VERB
fcis-23843	6	27	decision	decision	NOUN
fcis-23843	6	28	-	-	PUNCT
fcis-23843	6	29	making	making	NOUN
fcis-23843	6	30	.	.	PUNCT
fcis-23843	7	1	the	the	DET
fcis-23843	7	2	interdisciplinary	interdisciplinary	ADJ
fcis-23843	7	3	approach	approach	NOUN
fcis-23843	7	4	of	of	ADP
fcis-23843	7	5	this	this	DET
fcis-23843	7	6	study	study	NOUN
fcis-23843	7	7	encompasses	encompass	VERB
fcis-23843	7	8	working	work	VERB
fcis-23843	7	9	hypotheses	hypothesis	NOUN
fcis-23843	7	10	about	about	ADP
fcis-23843	7	11	the	the	DET
fcis-23843	7	12	power	power	NOUN
fcis-23843	7	13	and	and	CCONJ
fcis-23843	7	14	potential	potential	NOUN
fcis-23843	7	15	of	of	ADP
fcis-23843	7	16	ais	ais	PROPN
fcis-23843	7	17	within	within	ADP
fcis-23843	7	18	epidemiology	epidemiology	NOUN
fcis-23843	7	19	,	,	PUNCT
fcis-23843	7	20	the	the	DET
fcis-23843	7	21	broad	broad	ADJ
fcis-23843	7	22	opportunities	opportunity	NOUN
fcis-23843	7	23	for	for	ADP
fcis-23843	7	24	their	their	PRON
fcis-23843	7	25	use	use	NOUN
fcis-23843	7	26	across	across	ADP
fcis-23843	7	27	disciplines	discipline	NOUN
fcis-23843	7	28	,	,	PUNCT
fcis-23843	7	29	and	and	CCONJ
fcis-23843	7	30	concurrent	concurrent	ADJ
fcis-23843	7	31	ethical	ethical	ADJ
fcis-23843	7	32	questions	question	NOUN
fcis-23843	7	33	raised	raise	VERB
fcis-23843	7	34	.	.	PUNCT
fcis-23843	8	1	these	these	DET
fcis-23843	8	2	case	case	NOUN
fcis-23843	8	3	studies	study	NOUN
fcis-23843	8	4	exemplify	exemplify	VERB
fcis-23843	8	5	many	many	ADJ
fcis-23843	8	6	of	of	ADP
fcis-23843	8	7	how	how	SCONJ
fcis-23843	8	8	advanced	advanced	ADJ
fcis-23843	8	9	ai	ai	NOUN
fcis-23843	8	10	can	can	AUX
fcis-23843	8	11	now	now	ADV
fcis-23843	8	12	be	be	AUX
fcis-23843	8	13	used	use	VERB
fcis-23843	8	14	to	to	PART
fcis-23843	8	15	monitor	monitor	VERB
fcis-23843	8	16	and	and	CCONJ
fcis-23843	8	17	detect	detect	VERB
fcis-23843	8	18	potential	potential	ADJ
fcis-23843	8	19	outbreaks	outbreak	NOUN
fcis-23843	8	20	,	,	PUNCT
fcis-23843	8	21	as	as	ADV
fcis-23843	8	22	well	well	ADV
fcis-23843	8	23	as	as	ADP
fcis-23843	8	24	assess	assess	NOUN
fcis-23843	8	25	associated	associate	VERB
fcis-23843	8	26	risks	risk	NOUN
fcis-23843	8	27	-offering	-offere	VERB
fcis-23843	8	28	new	new	ADJ
fcis-23843	8	29	hope	hope	NOUN
fcis-23843	8	30	for	for	ADP
fcis-23843	8	31	the	the	DET
fcis-23843	8	32	transformation	transformation	NOUN
fcis-23843	8	33	of	of	ADP
fcis-23843	8	34	public	public	ADJ
fcis-23843	8	35	health	health	NOUN
fcis-23843	8	36	practice	practice	NOUN
fcis-23843	8	37	.	.	PUNCT
fcis-23843	9	1	the	the	DET
fcis-23843	9	2	paper	paper	NOUN
fcis-23843	9	3	concludes	conclude	VERB
fcis-23843	9	4	by	by	ADP
fcis-23843	9	5	highlighting	highlight	VERB
fcis-23843	9	6	the	the	DET
fcis-23843	9	7	need	need	NOUN
fcis-23843	9	8	to	to	PART
fcis-23843	9	9	use	use	VERB
fcis-23843	9	10	ai	ai	VERB
fcis-23843	9	11	responsibly	responsibly	ADV
fcis-23843	9	12	and	and	CCONJ
fcis-23843	9	13	calling	call	VERB
fcis-23843	9	14	for	for	ADP
fcis-23843	9	15	epidemiologists	epidemiologist	NOUN
fcis-23843	9	16	,	,	PUNCT
fcis-23843	9	17	data	datum	NOUN
fcis-23843	9	18	scientists	scientist	NOUN
fcis-23843	9	19	,	,	PUNCT
fcis-23843	9	20	policymakers	policymaker	NOUN
fcis-23843	9	21	,	,	PUNCT
fcis-23843	9	22	ethicists	ethicist	NOUN
fcis-23843	9	23	,	,	PUNCT
fcis-23843	9	24	and	and	CCONJ
fcis-23843	9	25	other	other	ADJ
fcis-23843	9	26	stakeholders	stakeholder	NOUN
fcis-23843	9	27	to	to	PART
fcis-23843	9	28	work	work	VERB
fcis-23843	9	29	together	together	ADV
fcis-23843	9	30	towards	towards	ADP
fcis-23843	9	31	realizing	realize	VERB
fcis-23843	9	32	the	the	DET
fcis-23843	9	33	potential	potential	NOUN
fcis-23843	9	34	of	of	ADP
fcis-23843	9	35	ai	ai	NOUN
fcis-23843	9	36	while	while	SCONJ
fcis-23843	9	37	"	"	PUNCT
fcis-23843	9	38	addressing	address	VERB
fcis-23843	9	39	ethical	ethical	ADJ
fcis-23843	9	40	,	,	PUNCT
fcis-23843	9	41	social	social	ADJ
fcis-23843	9	42	and	and	CCONJ
fcis-23843	9	43	technical	technical	ADJ
fcis-23843	9	44	issues	issue	NOUN
fcis-23843	9	45	"	"	PUNCT
fcis-23843	9	46	.	.	PUNCT
fcis-23843	10	1	keywords	keyword	NOUN
fcis-23843	10	2	:	:	PUNCT
fcis-23843	10	3	artificial	artificial	ADJ
fcis-23843	10	4	intelligence	intelligence	NOUN
fcis-23843	10	5	;	;	PUNCT
fcis-23843	10	6	epidemiology	epidemiology	NOUN
fcis-23843	10	7	;	;	PUNCT
fcis-23843	10	8	data	datum	NOUN
fcis-23843	10	9	analysis	analysis	NOUN
fcis-23843	10	10	;	;	PUNCT
fcis-23843	10	11	disease	disease	NOUN
fcis-23843	10	12	surveillance	surveillance	NOUN
fcis-23843	10	13	;	;	PUNCT
fcis-23843	10	14	risk	risk	NOUN
fcis-23843	10	15	assessment	assessment	NOUN
fcis-23843	10	16	;	;	PUNCT
fcis-23843	10	17	ethical	ethical	ADJ
fcis-23843	10	18	considerations	consideration	NOUN
fcis-23843	10	19	.	.	PUNCT
fcis-23843	11	1	1	1	X
fcis-23843	11	2	.	.	X
fcis-23843	11	3	introduction	introduction	NOUN
fcis-23843	11	4	epidemiology	epidemiology	NOUN
fcis-23843	11	5	is	be	AUX
fcis-23843	11	6	rooted	root	VERB
fcis-23843	11	7	in	in	ADP
fcis-23843	11	8	public	public	ADJ
fcis-23843	11	9	health	health	NOUN
fcis-23843	11	10	and	and	CCONJ
fcis-23843	11	11	is	be	AUX
fcis-23843	11	12	concerned	concern	VERB
fcis-23843	11	13	with	with	ADP
fcis-23843	11	14	protecting	protect	VERB
fcis-23843	11	15	and	and	CCONJ
fcis-23843	11	16	enhancing	enhance	VERB
fcis-23843	11	17	human	human	ADJ
fcis-23843	11	18	health	health	NOUN
fcis-23843	11	19	through	through	ADP
fcis-23843	11	20	disease	disease	NOUN
fcis-23843	11	21	surveillance	surveillance	NOUN
fcis-23843	11	22	and	and	CCONJ
fcis-23843	11	23	risk	risk	NOUN
fcis-23843	11	24	assessment	assessment	NOUN
fcis-23843	11	25	.	.	PUNCT
fcis-23843	12	1	this	this	DET
fcis-23843	12	2	area	area	NOUN
fcis-23843	12	3	of	of	ADP
fcis-23843	12	4	study	study	NOUN
fcis-23843	12	5	enables	enable	VERB
fcis-23843	12	6	us	we	PRON
fcis-23843	12	7	to	to	PART
fcis-23843	12	8	comprehend	comprehend	VERB
fcis-23843	12	9	how	how	SCONJ
fcis-23843	12	10	diseases	disease	NOUN
fcis-23843	12	11	spread	spread	VERB
fcis-23843	12	12	,	,	PUNCT
fcis-23843	12	13	identify	identify	VERB
fcis-23843	12	14	the	the	DET
fcis-23843	12	15	determinants	determinant	NOUN
fcis-23843	12	16	of	of	ADP
fcis-23843	12	17	health	health	NOUN
fcis-23843	12	18	problems	problem	NOUN
fcis-23843	12	19	,	,	PUNCT
fcis-23843	12	20	and	and	CCONJ
fcis-23843	12	21	come	come	VERB
fcis-23843	12	22	up	up	ADP
fcis-23843	12	23	with	with	ADP
fcis-23843	12	24	ways	way	NOUN
fcis-23843	12	25	to	to	PART
fcis-23843	12	26	prevent	prevent	VERB
fcis-23843	12	27	them	they	PRON
fcis-23843	12	28	from	from	ADP
fcis-23843	12	29	occurring	occur	VERB
fcis-23843	12	30	.	.	PUNCT
fcis-23843	13	1	however	however	ADV
fcis-23843	13	2	,	,	PUNCT
fcis-23843	13	3	the	the	DET
fcis-23843	13	4	conventional	conventional	ADJ
fcis-23843	13	5	methods	method	NOUN
fcis-23843	13	6	used	use	VERB
fcis-23843	13	7	for	for	ADP
fcis-23843	13	8	epidemiological	epidemiological	ADJ
fcis-23843	13	9	research	research	NOUN
fcis-23843	13	10	are	be	AUX
fcis-23843	13	11	becoming	become	VERB
fcis-23843	13	12	less	less	ADV
fcis-23843	13	13	effective	effective	ADJ
fcis-23843	13	14	due	due	ADP
fcis-23843	13	15	to	to	ADP
fcis-23843	13	16	large	large	ADJ
fcis-23843	13	17	amounts	amount	NOUN
fcis-23843	13	18	of	of	ADP
fcis-23843	13	19	worldwide	worldwide	ADJ
fcis-23843	13	20	information	information	NOUN
fcis-23843	13	21	as	as	ADV
fcis-23843	13	22	well	well	ADV
fcis-23843	13	23	as	as	ADP
fcis-23843	13	24	different	different	ADJ
fcis-23843	13	25	types	type	NOUN
fcis-23843	13	26	of	of	ADP
fcis-23843	13	27	such	such	ADJ
fcis-23843	13	28	data	datum	NOUN
fcis-23843	13	29	sources	source	NOUN
fcis-23843	13	30	.	.	PUNCT
fcis-23843	14	1	the	the	DET
fcis-23843	14	2	speed	speed	NOUN
fcis-23843	14	3	at	at	ADP
fcis-23843	14	4	which	which	PRON
fcis-23843	14	5	public	public	ADJ
fcis-23843	14	6	health	health	NOUN
fcis-23843	14	7	emergencies	emergency	NOUN
fcis-23843	14	8	are	be	AUX
fcis-23843	14	9	managed	manage	VERB
fcis-23843	14	10	may	may	AUX
fcis-23843	14	11	be	be	AUX
fcis-23843	14	12	compromised	compromise	VERB
fcis-23843	14	13	when	when	SCONJ
fcis-23843	14	14	dealing	deal	VERB
fcis-23843	14	15	with	with	ADP
fcis-23843	14	16	massive	massive	ADJ
fcis-23843	14	17	and	and	CCONJ
fcis-23843	14	18	non	non	ADJ
fcis-23843	14	19	-	-	ADJ
fcis-23843	14	20	uniform	uniform	ADJ
fcis-23843	14	21	datasets	dataset	NOUN
fcis-23843	14	22	because	because	SCONJ
fcis-23843	14	23	they	they	PRON
fcis-23843	14	24	overwhelm	overwhelm	VERB
fcis-23843	14	25	traditional	traditional	ADJ
fcis-23843	14	26	approaches	approach	NOUN
fcis-23843	14	27	thereby	thereby	ADV
fcis-23843	14	28	delaying	delay	VERB
fcis-23843	14	29	interventions[1	interventions[1	PROPN
fcis-23843	14	30	]	]	PUNCT
fcis-23843	14	31	.	.	PUNCT
fcis-23843	15	1	in	in	ADP
fcis-23843	15	2	light	light	NOUN
fcis-23843	15	3	of	of	ADP
fcis-23843	15	4	these	these	DET
fcis-23843	15	5	challenges	challenge	NOUN
fcis-23843	15	6	,	,	PUNCT
fcis-23843	15	7	artificial	artificial	ADJ
fcis-23843	15	8	intelligence	intelligence	NOUN
fcis-23843	15	9	(	(	PUNCT
fcis-23843	15	10	ai	ai	PROPN
fcis-23843	15	11	)	)	PUNCT
fcis-23843	15	12	has	have	AUX
fcis-23843	15	13	been	be	AUX
fcis-23843	15	14	introduced	introduce	VERB
fcis-23843	15	15	into	into	ADP
fcis-23843	15	16	the	the	DET
fcis-23843	15	17	field	field	NOUN
fcis-23843	15	18	of	of	ADP
fcis-23843	15	19	epidemiology	epidemiology	NOUN
fcis-23843	15	20	to	to	PART
fcis-23843	15	21	provide	provide	VERB
fcis-23843	15	22	alternative	alternative	ADJ
fcis-23843	15	23	solutions	solution	NOUN
fcis-23843	15	24	.	.	PUNCT
fcis-23843	16	1	techniques	technique	NOUN
fcis-23843	16	2	like	like	ADP
fcis-23843	16	3	machine	machine	NOUN
fcis-23843	16	4	learning	learning	NOUN
fcis-23843	16	5	and	and	CCONJ
fcis-23843	16	6	deep	deep	ADJ
fcis-23843	16	7	learning	learning	NOUN
fcis-23843	16	8	in	in	ADP
fcis-23843	16	9	ai	ai	INTJ
fcis-23843	16	10	have	have	AUX
fcis-23843	16	11	proven	prove	VERB
fcis-23843	16	12	to	to	PART
fcis-23843	16	13	be	be	AUX
fcis-23843	16	14	very	very	ADV
fcis-23843	16	15	efficient	efficient	ADJ
fcis-23843	16	16	in	in	ADP
fcis-23843	16	17	processing	processing	NOUN
fcis-23843	16	18	data	datum	NOUN
fcis-23843	16	19	,	,	PUNCT
fcis-23843	16	20	recognizing	recognize	VERB
fcis-23843	16	21	patterns	pattern	NOUN
fcis-23843	16	22	,	,	PUNCT
fcis-23843	16	23	and	and	CCONJ
fcis-23843	16	24	making	make	VERB
fcis-23843	16	25	predictive	predictive	ADJ
fcis-23843	16	26	models	model	NOUN
fcis-23843	16	27	.	.	PUNCT
fcis-23843	17	1	by	by	ADP
fcis-23843	17	2	deploying	deploy	VERB
fcis-23843	17	3	artificial	artificial	ADJ
fcis-23843	17	4	intelligence	intelligence	NOUN
fcis-23843	17	5	systems	system	NOUN
fcis-23843	17	6	,	,	PUNCT
fcis-23843	17	7	epidemiologists	epidemiologist	NOUN
fcis-23843	17	8	can	can	AUX
fcis-23843	17	9	handle	handle	VERB
fcis-23843	17	10	large	large	ADJ
fcis-23843	17	11	datasets	dataset	NOUN
fcis-23843	17	12	more	more	ADV
fcis-23843	17	13	effectively	effectively	ADV
fcis-23843	17	14	,	,	PUNCT
fcis-23843	17	15	speed	speed	VERB
fcis-23843	17	16	up	up	ADP
fcis-23843	17	17	the	the	DET
fcis-23843	17	18	process	process	NOUN
fcis-23843	17	19	of	of	ADP
fcis-23843	17	20	recognizing	recognize	VERB
fcis-23843	17	21	patterns	pattern	NOUN
fcis-23843	17	22	of	of	ADP
fcis-23843	17	23	diseases	disease	NOUN
fcis-23843	17	24	,	,	PUNCT
fcis-23843	17	25	and	and	CCONJ
fcis-23843	17	26	,	,	PUNCT
fcis-23843	17	27	consequently	consequently	ADV
fcis-23843	17	28	,	,	PUNCT
fcis-23843	17	29	facilitate	facilitate	VERB
fcis-23843	17	30	making	make	VERB
fcis-23843	17	31	fast	fast	ADJ
fcis-23843	17	32	public	public	ADJ
fcis-23843	17	33	health	health	NOUN
fcis-23843	17	34	evidence	evidence	NOUN
fcis-23843	17	35	-	-	PUNCT
fcis-23843	17	36	based	base	VERB
fcis-23843	17	37	decisions	decision	NOUN
fcis-23843	17	38	.	.	PUNCT
fcis-23843	18	1	this	this	DET
fcis-23843	18	2	paper	paper	NOUN
fcis-23843	18	3	seeks	seek	VERB
fcis-23843	18	4	to	to	PART
fcis-23843	18	5	delve	delve	VERB
fcis-23843	18	6	into	into	ADP
fcis-23843	18	7	the	the	DET
fcis-23843	18	8	application	application	NOUN
fcis-23843	18	9	of	of	ADP
fcis-23843	18	10	artificial	artificial	ADJ
fcis-23843	18	11	intelligence	intelligence	NOUN
fcis-23843	18	12	systems	system	NOUN
fcis-23843	18	13	in	in	ADP
fcis-23843	18	14	epidemiological	epidemiological	ADJ
fcis-23843	18	15	studies	study	NOUN
fcis-23843	18	16	with	with	ADP
fcis-23843	18	17	the	the	DET
fcis-23843	18	18	emphasis	emphasis	NOUN
fcis-23843	18	19	being	be	AUX
fcis-23843	18	20	laid	lay	VERB
fcis-23843	18	21	on	on	ADP
fcis-23843	18	22	the	the	DET
fcis-23843	18	23	use	use	NOUN
fcis-23843	18	24	of	of	ADP
fcis-23843	18	25	such	such	ADJ
fcis-23843	18	26	models	model	NOUN
fcis-23843	18	27	as	as	ADP
fcis-23843	18	28	k	k	NOUN
fcis-23843	18	29	-	-	PUNCT
fcis-23843	18	30	nearest	near	ADJ
fcis-23843	18	31	neighbors	neighbor	NOUN
fcis-23843	18	32	(	(	PUNCT
fcis-23843	18	33	knn	knn	PROPN
fcis-23843	18	34	)	)	PUNCT
fcis-23843	18	35	,	,	PUNCT
fcis-23843	18	36	support	support	VERB
fcis-23843	18	37	vector	vector	NOUN
fcis-23843	18	38	machines	machine	NOUN
fcis-23843	18	39	(	(	PUNCT
fcis-23843	18	40	svm	svm	PROPN
fcis-23843	18	41	)	)	PUNCT
fcis-23843	18	42	,	,	PUNCT
fcis-23843	18	43	and	and	CCONJ
fcis-23843	18	44	random	random	ADJ
fcis-23843	18	45	forests	forest	NOUN
fcis-23843	18	46	in	in	ADP
fcis-23843	18	47	disease	disease	NOUN
fcis-23843	18	48	surveillance	surveillance	NOUN
fcis-23843	18	49	,	,	PUNCT
fcis-23843	18	50	detecting	detect	VERB
fcis-23843	18	51	outbreaks	outbreak	NOUN
fcis-23843	18	52	and	and	CCONJ
fcis-23843	18	53	risk	risk	NOUN
fcis-23843	18	54	assessment	assessment	NOUN
fcis-23843	18	55	.	.	PUNCT
fcis-23843	19	1	several	several	ADJ
fcis-23843	19	2	illustrative	illustrative	ADJ
fcis-23843	19	3	examples	example	NOUN
fcis-23843	19	4	will	will	AUX
fcis-23843	19	5	be	be	AUX
fcis-23843	19	6	given	give	VERB
fcis-23843	19	7	to	to	PART
fcis-23843	19	8	show	show	VERB
fcis-23843	19	9	how	how	SCONJ
fcis-23843	19	10	these	these	DET
fcis-23843	19	11	methods	method	NOUN
fcis-23843	19	12	can	can	AUX
fcis-23843	19	13	assist	assist	VERB
fcis-23843	19	14	epidemiologists	epidemiologist	NOUN
fcis-23843	19	15	in	in	ADP
fcis-23843	19	16	improving	improve	VERB
fcis-23843	19	17	efficiency	efficiency	NOUN
fcis-23843	19	18	and	and	CCONJ
fcis-23843	19	19	accuracy	accuracy	NOUN
fcis-23843	19	20	in	in	ADP
fcis-23843	19	21	their	their	PRON
fcis-23843	19	22	research[2	research[2	NOUN
fcis-23843	19	23	]	]	X
fcis-23843	19	24	.	.	PUNCT
fcis-23843	20	1	moreover	moreover	ADV
fcis-23843	20	2	,	,	PUNCT
fcis-23843	20	3	ethical	ethical	ADJ
fcis-23843	20	4	concerns	concern	NOUN
fcis-23843	20	5	arise	arise	VERB
fcis-23843	20	6	as	as	SCONJ
fcis-23843	20	7	more	more	ADJ
fcis-23843	20	8	and	and	CCONJ
fcis-23843	20	9	more	more	ADJ
fcis-23843	20	10	ai	ai	VERB
fcis-23843	20	11	is	be	AUX
fcis-23843	20	12	applied	apply	VERB
fcis-23843	20	13	in	in	ADP
fcis-23843	20	14	this	this	DET
fcis-23843	20	15	field	field	NOUN
fcis-23843	20	16	.	.	PUNCT
fcis-23843	21	1	some	some	PRON
fcis-23843	21	2	of	of	ADP
fcis-23843	21	3	the	the	DET
fcis-23843	21	4	key	key	ADJ
fcis-23843	21	5	issues	issue	NOUN
fcis-23843	21	6	that	that	PRON
fcis-23843	21	7	should	should	AUX
fcis-23843	21	8	be	be	AUX
fcis-23843	21	9	taken	take	VERB
fcis-23843	21	10	into	into	ADP
fcis-23843	21	11	account	account	NOUN
fcis-23843	21	12	include	include	VERB
fcis-23843	21	13	the	the	DET
fcis-23843	21	14	privacy	privacy	NOUN
fcis-23843	21	15	of	of	ADP
fcis-23843	21	16	data	datum	NOUN
fcis-23843	21	17	,	,	PUNCT
fcis-23843	21	18	transparency	transparency	NOUN
fcis-23843	21	19	algorithms	algorithm	NOUN
fcis-23843	21	20	as	as	ADP
fcis-23843	21	21	well	well	ADV
fcis-23843	21	22	fairness	fairness	NOUN
fcis-23843	21	23	when	when	SCONJ
fcis-23843	21	24	decisions	decision	NOUN
fcis-23843	21	25	are	be	AUX
fcis-23843	21	26	made	make	VERB
fcis-23843	21	27	.	.	PUNCT
fcis-23843	22	1	while	while	SCONJ
fcis-23843	22	2	discussing	discuss	VERB
fcis-23843	22	3	how	how	SCONJ
fcis-23843	22	4	to	to	PART
fcis-23843	22	5	maintain	maintain	VERB
fcis-23843	22	6	efficiency	efficiency	NOUN
fcis-23843	22	7	,	,	PUNCT
fcis-23843	22	8	this	this	DET
fcis-23843	22	9	paper	paper	NOUN
fcis-23843	22	10	will	will	AUX
fcis-23843	22	11	talk	talk	VERB
fcis-23843	22	12	about	about	ADP
fcis-23843	22	13	the	the	DET
fcis-23843	22	14	ethical	ethical	ADJ
fcis-23843	22	15	and	and	CCONJ
fcis-23843	22	16	socially	socially	ADV
fcis-23843	22	17	responsible	responsible	ADJ
fcis-23843	22	18	use	use	NOUN
fcis-23843	22	19	of	of	ADP
fcis-23843	22	20	technology	technology	NOUN
fcis-23843	22	21	.	.	PUNCT
fcis-23843	23	1	it	it	PRON
fcis-23843	23	2	is	be	AUX
fcis-23843	23	3	only	only	ADV
fcis-23843	23	4	through	through	ADP
fcis-23843	23	5	bringing	bring	VERB
fcis-23843	23	6	together	together	ADV
fcis-23843	23	7	people	people	NOUN
fcis-23843	23	8	from	from	ADP
fcis-23843	23	9	different	different	ADJ
fcis-23843	23	10	disciplines	discipline	NOUN
fcis-23843	23	11	such	such	ADJ
fcis-23843	23	12	as	as	ADP
fcis-23843	23	13	epidemiologists	epidemiologist	NOUN
fcis-23843	23	14	and	and	CCONJ
fcis-23843	23	15	data	datum	NOUN
fcis-23843	23	16	scientists	scientist	NOUN
fcis-23843	23	17	who	who	PRON
fcis-23843	23	18	are	be	AUX
fcis-23843	23	19	skilled	skilled	ADJ
fcis-23843	23	20	in	in	ADP
fcis-23843	23	21	technology	technology	NOUN
fcis-23843	23	22	can	can	AUX
fcis-23843	23	23	be	be	AUX
fcis-23843	23	24	able	able	ADJ
fcis-23843	23	25	to	to	PART
fcis-23843	23	26	effectively	effectively	ADV
fcis-23843	23	27	utilize	utilize	VERB
fcis-23843	23	28	ai	ai	VERB
fcis-23843	23	29	in	in	ADP
fcis-23843	23	30	dealing	deal	VERB
fcis-23843	23	31	with	with	ADP
fcis-23843	23	32	public	public	ADJ
fcis-23843	23	33	health	health	NOUN
fcis-23843	23	34	issues	issue	NOUN
fcis-23843	23	35	.	.	PUNCT
fcis-23843	24	1	there	there	PRON
fcis-23843	24	2	should	should	AUX
fcis-23843	24	3	be	be	AUX
fcis-23843	24	4	a	a	DET
fcis-23843	24	5	collaborative	collaborative	ADJ
fcis-23843	24	6	framework	framework	NOUN
fcis-23843	24	7	that	that	PRON
fcis-23843	24	8	will	will	AUX
fcis-23843	24	9	make	make	VERB
fcis-23843	24	10	sure	sure	ADJ
fcis-23843	24	11	the	the	DET
fcis-23843	24	12	part	part	NOUN
fcis-23843	24	13	played	play	VERB
fcis-23843	24	14	by	by	ADP
fcis-23843	24	15	ai	ai	NOUN
fcis-23843	24	16	in	in	ADP
fcis-23843	24	17	advancing	advance	VERB
fcis-23843	24	18	epidemiology	epidemiology	NOUN
fcis-23843	24	19	research	research	NOUN
fcis-23843	24	20	and	and	CCONJ
fcis-23843	24	21	practice	practice	NOUN
fcis-23843	24	22	is	be	AUX
fcis-23843	24	23	in	in	ADP
fcis-23843	24	24	line	line	NOUN
fcis-23843	24	25	with	with	ADP
fcis-23843	24	26	technology	technology	NOUN
fcis-23843	24	27	ethics	ethic	NOUN
fcis-23843	24	28	besides	besides	SCONJ
fcis-23843	24	29	taking	take	VERB
fcis-23843	24	30	into	into	ADP
fcis-23843	24	31	account	account	NOUN
fcis-23843	24	32	its	its	PRON
fcis-23843	24	33	social	social	ADJ
fcis-23843	24	34	impact	impact	NOUN
fcis-23843	24	35	.	.	PUNCT
fcis-23843	25	1	2	2	X
fcis-23843	25	2	.	.	X
fcis-23843	25	3	literature	literature	NOUN
fcis-23843	25	4	review	review	VERB
fcis-23843	25	5	the	the	DET
fcis-23843	25	6	epidemiology	epidemiology	NOUN
fcis-23843	25	7	of	of	ADP
fcis-23843	25	8	today	today	NOUN
fcis-23843	25	9	is	be	AUX
fcis-23843	25	10	based	base	VERB
fcis-23843	25	11	on	on	ADP
fcis-23843	25	12	traditional	traditional	ADJ
fcis-23843	25	13	methods	method	NOUN
fcis-23843	25	14	that	that	PRON
fcis-23843	25	15	collect	collect	VERB
fcis-23843	25	16	data	datum	NOUN
fcis-23843	25	17	and	and	CCONJ
fcis-23843	25	18	analyze	analyze	VERB
fcis-23843	25	19	it	it	PRON
fcis-23843	25	20	statistically	statistically	ADV
fcis-23843	25	21	to	to	PART
fcis-23843	25	22	discover	discover	VERB
fcis-23843	25	23	patterns	pattern	NOUN
fcis-23843	25	24	of	of	ADP
fcis-23843	25	25	disease	disease	NOUN
fcis-23843	25	26	and	and	CCONJ
fcis-23843	25	27	risk	risk	NOUN
fcis-23843	25	28	factors	factor	NOUN
fcis-23843	25	29	associated	associate	VERB
fcis-23843	25	30	with	with	ADP
fcis-23843	25	31	them	they	PRON
fcis-23843	25	32	.	.	PUNCT
fcis-23843	26	1	as	as	SCONJ
fcis-23843	26	2	mentioned	mention	VERB
fcis-23843	26	3	by	by	ADP
fcis-23843	26	4	jones	jones	PROPN
fcis-23843	26	5	et	et	PROPN
fcis-23843	26	6	al	al	PROPN
fcis-23843	26	7	.	.	PROPN
fcis-23843	27	1	(	(	PUNCT
fcis-23843	27	2	2015	2015	NUM
fcis-23843	27	3	)	)	PUNCT
fcis-23843	27	4	,	,	PUNCT
fcis-23843	27	5	these	these	DET
fcis-23843	27	6	approaches	approach	NOUN
fcis-23843	27	7	involve	involve	VERB
fcis-23843	27	8	case	case	NOUN
fcis-23843	27	9	-	-	PUNCT
fcis-23843	27	10	control	control	NOUN
fcis-23843	27	11	studies	study	NOUN
fcis-23843	27	12	,	,	PUNCT
fcis-23843	27	13	cohort	cohort	NOUN
fcis-23843	27	14	studies	study	NOUN
fcis-23843	27	15	,	,	PUNCT
fcis-23843	27	16	and	and	CCONJ
fcis-23843	27	17	cross	cross	ADJ
fcis-23843	27	18	-	-	ADJ
fcis-23843	27	19	sectional	sectional	ADJ
fcis-23843	27	20	studies	study	NOUN
fcis-23843	27	21	which	which	PRON
fcis-23843	27	22	help	help	VERB
fcis-23843	27	23	us	we	PRON
fcis-23843	27	24	understand	understand	VERB
fcis-23843	27	25	how	how	SCONJ
fcis-23843	27	26	diseases	disease	NOUN
fcis-23843	27	27	come	come	VERB
fcis-23843	27	28	about	about	ADP
fcis-23843	27	29	and	and	CCONJ
fcis-23843	27	30	how	how	SCONJ
fcis-23843	27	31	they	they	PRON
fcis-23843	27	32	spread	spread	VERB
fcis-23843	27	33	.	.	PUNCT
fcis-23843	28	1	nevertheless	nevertheless	ADV
fcis-23843	28	2	,	,	PUNCT
fcis-23843	28	3	such	such	ADJ
fcis-23843	28	4	techniques	technique	NOUN
fcis-23843	28	5	have	have	AUX
fcis-23843	28	6	been	be	AUX
fcis-23843	28	7	criticized	criticize	VERB
fcis-23843	28	8	for	for	ADP
fcis-23843	28	9	their	their	PRON
fcis-23843	28	10	inability	inability	NOUN
fcis-23843	28	11	to	to	PART
fcis-23843	28	12	handle	handle	VERB
fcis-23843	28	13	large	large	ADJ
fcis-23843	28	14	datasets	dataset	NOUN
fcis-23843	28	15	or	or	CCONJ
fcis-23843	28	16	high	high	ADV
fcis-23843	28	17	-	-	PUNCT
fcis-23843	28	18	dimensional	dimensional	ADJ
fcis-23843	28	19	data	datum	NOUN
fcis-23843	28	20	,	,	PUNCT
fcis-23843	28	21	particularly	particularly	ADV
fcis-23843	28	22	during	during	ADP
fcis-23843	28	23	public	public	ADJ
fcis-23843	28	24	health	health	NOUN
fcis-23843	28	25	emergencies	emergency	NOUN
fcis-23843	28	26	where	where	SCONJ
fcis-23843	28	27	quick	quick	ADJ
fcis-23843	28	28	analysis	analysis	NOUN
fcis-23843	28	29	needs	need	VERB
fcis-23843	28	30	to	to	PART
fcis-23843	28	31	be	be	AUX
fcis-23843	28	32	done	do	VERB
fcis-23843	28	33	in	in	ADP
fcis-23843	28	34	realtime	realtime	NOUN
fcis-23843	28	35	to	to	PART
fcis-23843	28	36	provide	provide	VERB
fcis-23843	28	37	an	an	DET
fcis-23843	28	38	immediate	immediate	ADJ
fcis-23843	28	39	response	response	NOUN
fcis-23843	28	40	(	(	PUNCT
fcis-23843	28	41	smith	smith	PROPN
fcis-23843	28	42	&	&	CCONJ
fcis-23843	28	43	amp	amp	PROPN
fcis-23843	28	44	;	;	PUNCT
fcis-23843	28	45	collins	collin	NOUN
fcis-23843	28	46	,	,	PUNCT
fcis-23843	28	47	2018	2018	NUM
fcis-23843	28	48	)	)	PUNCT
fcis-23843	28	49	.	.	PUNCT
fcis-23843	29	1	artificial	artificial	ADJ
fcis-23843	29	2	intelligence	intelligence	NOUN
fcis-23843	29	3	has	have	AUX
fcis-23843	29	4	experienced	experience	VERB
fcis-23843	29	5	unprecedented	unprecedented	ADJ
fcis-23843	29	6	growth	growth	NOUN
fcis-23843	29	7	over	over	ADP
fcis-23843	29	8	the	the	DET
fcis-23843	29	9	past	past	ADJ
fcis-23843	29	10	years	year	NOUN
fcis-23843	29	11	;	;	PUNCT
fcis-23843	29	12	this	this	PRON
fcis-23843	29	13	has	have	AUX
fcis-23843	29	14	led	lead	VERB
fcis-23843	29	15	to	to	ADP
fcis-23843	29	16	an	an	DET
fcis-23843	29	17	upsurge	upsurge	NOUN
fcis-23843	29	18	in	in	ADP
fcis-23843	29	19	the	the	DET
fcis-23843	29	20	number	number	NOUN
fcis-23843	29	21	of	of	ADP
fcis-23843	29	22	researchers	researcher	NOUN
fcis-23843	29	23	utilizing	utilize	VERB
fcis-23843	29	24	machine	machine	NOUN
fcis-23843	29	25	learning	learn	VERB
fcis-23843	29	26	technology	technology	NOUN
fcis-23843	29	27	for	for	ADP
fcis-23843	29	28	epidemiological	epidemiological	ADJ
fcis-23843	29	29	purposes	purpose	NOUN
fcis-23843	29	30	.	.	PUNCT
fcis-23843	30	1	for	for	ADP
fcis-23843	30	2	instance	instance	NOUN
fcis-23843	30	3	,	,	PUNCT
fcis-23843	30	4	wang	wang	PROPN
fcis-23843	30	5	et	et	PROPN
fcis-23843	30	6	al	al	PROPN
fcis-23843	30	7	.	.	PROPN
fcis-23843	31	1	(	(	PUNCT
fcis-23843	31	2	2020	2020	NUM
fcis-23843	31	3	)	)	PUNCT
fcis-23843	31	4	studied	study	VERB
fcis-23843	31	5	how	how	SCONJ
fcis-23843	31	6	machine	machine	NOUN
fcis-23843	31	7	learning	learning	NOUN
fcis-23843	31	8	can	can	AUX
fcis-23843	31	9	predict	predict	VERB
fcis-23843	31	10	trends	trend	NOUN
fcis-23843	31	11	in	in	ADP
fcis-23843	31	12	outbreaks	outbreak	NOUN
fcis-23843	31	13	of	of	ADP
fcis-23843	31	14	infectious	infectious	ADJ
fcis-23843	31	15	diseases	disease	NOUN
fcis-23843	31	16	while	while	SCONJ
fcis-23843	31	17	lee	lee	PROPN
fcis-23843	31	18	and	and	CCONJ
fcis-23843	31	19	liu	liu	PROPN
fcis-23843	31	20	(	(	PUNCT
fcis-23843	31	21	2019	2019	NUM
fcis-23843	31	22	)	)	PUNCT
fcis-23843	31	23	showed	show	VERB
fcis-23843	31	24	that	that	SCONJ
fcis-23843	31	25	unstructured	unstructured	ADJ
fcis-23843	31	26	health	health	NOUN
fcis-23843	31	27	data	datum	NOUN
fcis-23843	31	28	could	could	AUX
fcis-23843	31	29	be	be	AUX
fcis-23843	31	30	processed	process	VERB
fcis-23843	31	31	by	by	ADP
fcis-23843	31	32	deep	deep	ADJ
fcis-23843	31	33	learning	learning	NOUN
fcis-23843	31	34	models	model	NOUN
fcis-23843	31	35	.	.	PUNCT
fcis-23843	32	1	these	these	DET
fcis-23843	32	2	investigations	investigation	NOUN
fcis-23843	32	3	indicate	indicate	VERB
fcis-23843	32	4	that	that	SCONJ
fcis-23843	32	5	ai	ai	NOUN
fcis-23843	32	6	technology	technology	NOUN
fcis-23843	32	7	offers	offer	VERB
fcis-23843	32	8	more	more	ADV
fcis-23843	32	9	precise	precise	ADJ
fcis-23843	32	10	models	model	NOUN
fcis-23843	32	11	for	for	ADP
fcis-23843	32	12	the	the	DET
fcis-23843	32	13	surveillance	surveillance	NOUN
fcis-23843	32	14	and	and	CCONJ
fcis-23843	32	15	prediction	prediction	NOUN
fcis-23843	32	16	of	of	ADP
fcis-23843	32	17	diseases[3	diseases[3	NOUN
fcis-23843	32	18	]	]	PUNCT
fcis-23843	32	19	.	.	PUNCT
fcis-23843	33	1	different	different	ADJ
fcis-23843	33	2	ai	ai	VERB
fcis-23843	33	3	approaches	approach	NOUN
fcis-23843	33	4	including	include	VERB
fcis-23843	33	5	k	k	NOUN
fcis-23843	33	6	-	-	PUNCT
fcis-23843	33	7	nearest	near	ADJ
fcis-23843	33	8	neighbor	neighbor	NOUN
fcis-23843	33	9	(	(	PUNCT
fcis-23843	33	10	knn	knn	PROPN
fcis-23843	33	11	)	)	PUNCT
fcis-23843	33	12	,	,	PUNCT
fcis-23843	33	13	support	support	VERB
fcis-23843	33	14	vector	vector	NOUN
fcis-23843	33	15	machines	machine	NOUN
fcis-23843	33	16	(	(	PUNCT
fcis-23843	33	17	svm	svm	PROPN
fcis-23843	33	18	)	)	PUNCT
fcis-23843	33	19	,	,	PUNCT
fcis-23843	33	20	and	and	CCONJ
fcis-23843	33	21	24	24	NUM
fcis-23843	33	22	random	random	ADJ
fcis-23843	33	23	forests	forest	NOUN
fcis-23843	33	24	among	among	ADP
fcis-23843	33	25	others	other	NOUN
fcis-23843	33	26	have	have	AUX
fcis-23843	33	27	been	be	AUX
fcis-23843	33	28	applied	apply	VERB
fcis-23843	33	29	in	in	ADP
fcis-23843	33	30	various	various	ADJ
fcis-23843	33	31	epidemiological	epidemiological	ADJ
fcis-23843	33	32	research	research	NOUN
fcis-23843	33	33	.	.	PUNCT
fcis-23843	34	1	chen	chen	PROPN
fcis-23843	34	2	et	et	PROPN
fcis-23843	34	3	al	al	PROPN
fcis-23843	34	4	.	.	PROPN
fcis-23843	35	1	(	(	PUNCT
fcis-23843	35	2	2017	2017	NUM
fcis-23843	35	3	)	)	PUNCT
fcis-23843	35	4	used	use	VERB
fcis-23843	35	5	knn	knn	PROPN
fcis-23843	35	6	to	to	PART
fcis-23843	35	7	classify	classify	VERB
fcis-23843	35	8	and	and	CCONJ
fcis-23843	35	9	predict	predict	VERB
fcis-23843	35	10	individual	individual	ADJ
fcis-23843	35	11	health	health	NOUN
fcis-23843	35	12	status	status	NOUN
fcis-23843	35	13	because	because	SCONJ
fcis-23843	35	14	it	it	PRON
fcis-23843	35	15	is	be	AUX
fcis-23843	35	16	simple	simple	ADJ
fcis-23843	35	17	and	and	CCONJ
fcis-23843	35	18	efficient	efficient	ADJ
fcis-23843	35	19	making	make	VERB
fcis-23843	35	20	it	it	PRON
fcis-23843	35	21	suitable	suitable	ADJ
fcis-23843	35	22	for	for	ADP
fcis-23843	35	23	initial	initial	ADJ
fcis-23843	35	24	screening	screening	NOUN
fcis-23843	35	25	and	and	CCONJ
fcis-23843	35	26	diagnosis	diagnosis	NOUN
fcis-23843	35	27	.	.	PUNCT
fcis-23843	36	1	in	in	ADP
fcis-23843	36	2	their	their	PRON
fcis-23843	36	3	work	work	NOUN
fcis-23843	36	4	on	on	ADP
fcis-23843	36	5	pattern	pattern	NOUN
fcis-23843	36	6	recognition	recognition	NOUN
fcis-23843	36	7	and	and	CCONJ
fcis-23843	36	8	disease	disease	NOUN
fcis-23843	36	9	prediction	prediction	NOUN
fcis-23843	36	10	,	,	PUNCT
fcis-23843	36	11	green	green	PROPN
fcis-23843	36	12	et	et	PROPN
fcis-23843	36	13	al	al	PROPN
fcis-23843	36	14	.	.	PROPN
fcis-23843	37	1	(	(	PUNCT
fcis-23843	37	2	2016	2016	NUM
fcis-23843	37	3	)	)	PUNCT
fcis-23843	37	4	employed	employ	VERB
fcis-23843	37	5	svm	svm	NOUN
fcis-23843	37	6	which	which	PRON
fcis-23843	37	7	demonstrated	demonstrate	VERB
fcis-23843	37	8	high	high	ADJ
fcis-23843	37	9	accuracy	accuracy	NOUN
fcis-23843	37	10	levels	level	NOUN
fcis-23843	37	11	.	.	PUNCT
fcis-23843	38	1	ali	ali	PROPN
fcis-23843	38	2	et	et	PROPN
fcis-23843	38	3	al	al	PROPN
fcis-23843	38	4	.	.	PROPN
fcis-23843	39	1	(	(	PUNCT
fcis-23843	39	2	2019	2019	NUM
fcis-23843	39	3	)	)	PUNCT
fcis-23843	39	4	employed	employ	VERB
fcis-23843	39	5	random	random	ADJ
fcis-23843	39	6	forest	forest	NOUN
fcis-23843	39	7	due	due	ADP
fcis-23843	39	8	to	to	ADP
fcis-23843	39	9	its	its	PRON
fcis-23843	39	10	effectiveness	effectiveness	NOUN
fcis-23843	39	11	in	in	ADP
fcis-23843	39	12	dealing	deal	VERB
fcis-23843	39	13	with	with	ADP
fcis-23843	39	14	big	big	ADJ
fcis-23843	39	15	data	datum	NOUN
fcis-23843	39	16	and	and	CCONJ
fcis-23843	39	17	high	high	ADJ
fcis-23843	39	18	dimensional	dimensional	ADJ
fcis-23843	39	19	features	feature	NOUN
fcis-23843	39	20	which	which	PRON
fcis-23843	39	21	can	can	AUX
fcis-23843	39	22	recognize	recognize	VERB
fcis-23843	39	23	intricate	intricate	ADJ
fcis-23843	39	24	interaction	interaction	NOUN
fcis-23843	39	25	effects	effect	NOUN
fcis-23843	39	26	and	and	CCONJ
fcis-23843	39	27	nonlinear	nonlinear	ADJ
fcis-23843	39	28	association	association	NOUN
fcis-23843	39	29	especially	especially	ADV
fcis-23843	39	30	when	when	SCONJ
fcis-23843	39	31	large	large	ADJ
fcis-23843	39	32	datasets	dataset	NOUN
fcis-23843	39	33	are	be	AUX
fcis-23843	39	34	being	be	AUX
fcis-23843	39	35	used	use	VERB
fcis-23843	39	36	in	in	ADP
fcis-23843	39	37	high	high	ADJ
fcis-23843	39	38	-	-	PUNCT
fcis-23843	39	39	performance	performance	NOUN
fcis-23843	39	40	computing	computing	NOUN
fcis-23843	39	41	.	.	PUNCT
fcis-23843	40	1	however	however	ADV
fcis-23843	40	2	,	,	PUNCT
fcis-23843	40	3	brown	brown	PROPN
fcis-23843	40	4	et	et	PROPN
fcis-23843	40	5	al	al	PROPN
fcis-23843	40	6	.	.	PROPN
fcis-23843	41	1	(	(	PUNCT
fcis-23843	41	2	2021	2021	NUM
fcis-23843	41	3	)	)	PUNCT
fcis-23843	41	4	have	have	AUX
fcis-23843	41	5	identified	identify	VERB
fcis-23843	41	6	privacy	privacy	NOUN
fcis-23843	41	7	of	of	ADP
fcis-23843	41	8	information	information	NOUN
fcis-23843	41	9	,	,	PUNCT
fcis-23843	41	10	fairness	fairness	NOUN
fcis-23843	41	11	in	in	ADP
fcis-23843	41	12	machine	machine	NOUN
fcis-23843	41	13	learning	learning	NOUN
fcis-23843	41	14	models	model	NOUN
fcis-23843	41	15	,	,	PUNCT
fcis-23843	41	16	and	and	CCONJ
fcis-23843	41	17	interpretability	interpretability	NOUN
fcis-23843	41	18	of	of	ADP
fcis-23843	41	19	output	output	NOUN
fcis-23843	41	20	as	as	ADP
fcis-23843	41	21	being	be	AUX
fcis-23843	41	22	some	some	DET
fcis-23843	41	23	main	main	ADJ
fcis-23843	41	24	concerns	concern	NOUN
fcis-23843	41	25	raised	raise	VERB
fcis-23843	41	26	by	by	ADP
fcis-23843	41	27	the	the	DET
fcis-23843	41	28	current	current	ADJ
fcis-23843	41	29	use	use	NOUN
fcis-23843	41	30	of	of	ADP
fcis-23843	41	31	artificial	artificial	ADJ
fcis-23843	41	32	intelligence	intelligence	NOUN
fcis-23843	41	33	within	within	ADP
fcis-23843	41	34	the	the	DET
fcis-23843	41	35	epidemiological	epidemiological	ADJ
fcis-23843	41	36	research	research	NOUN
fcis-23843	41	37	domain	domain	NOUN
fcis-23843	41	38	.	.	PUNCT
fcis-23843	42	1	therefore	therefore	ADV
fcis-23843	42	2	,	,	PUNCT
fcis-23843	42	3	relevant	relevant	ADJ
fcis-23843	42	4	ethical	ethical	ADJ
fcis-23843	42	5	standards	standard	NOUN
fcis-23843	42	6	should	should	AUX
fcis-23843	42	7	always	always	ADV
fcis-23843	42	8	be	be	AUX
fcis-23843	42	9	observed	observe	VERB
fcis-23843	42	10	in	in	ADP
fcis-23843	42	11	the	the	DET
fcis-23843	42	12	application	application	NOUN
fcis-23843	42	13	of	of	ADP
fcis-23843	42	14	any	any	DET
fcis-23843	42	15	ai	ai	NOUN
fcis-23843	42	16	technology	technology	NOUN
fcis-23843	42	17	according	accord	VERB
fcis-23843	42	18	to	to	ADP
fcis-23843	42	19	these	these	DET
fcis-23843	42	20	findings	finding	NOUN
fcis-23843	42	21	.	.	PUNCT
fcis-23843	43	1	this	this	DET
fcis-23843	43	2	paper	paper	NOUN
fcis-23843	43	3	,	,	PUNCT
fcis-23843	43	4	through	through	ADP
fcis-23843	43	5	the	the	DET
fcis-23843	43	6	aforementioned	aforementioned	ADJ
fcis-23843	43	7	review	review	NOUN
fcis-23843	43	8	of	of	ADP
fcis-23843	43	9	related	related	ADJ
fcis-23843	43	10	literature	literature	NOUN
fcis-23843	43	11	,	,	PUNCT
fcis-23843	43	12	gets	get	VERB
fcis-23843	43	13	to	to	PART
fcis-23843	43	14	know	know	VERB
fcis-23843	43	15	better	well	ADV
fcis-23843	43	16	the	the	DET
fcis-23843	43	17	setbacks	setback	NOUN
fcis-23843	43	18	faced	face	VERB
fcis-23843	43	19	by	by	ADP
fcis-23843	43	20	conventional	conventional	ADJ
fcis-23843	43	21	epidemiological	epidemiological	ADJ
fcis-23843	43	22	methods	method	NOUN
fcis-23843	43	23	(	(	PUNCT
fcis-23843	43	24	cems	cem	NOUN
fcis-23843	43	25	)	)	PUNCT
fcis-23843	43	26	and	and	CCONJ
fcis-23843	43	27	the	the	DET
fcis-23843	43	28	potential	potential	ADJ
fcis-23843	43	29	benefits	benefit	NOUN
fcis-23843	43	30	that	that	PRON
fcis-23843	43	31	can	can	AUX
fcis-23843	43	32	be	be	AUX
fcis-23843	43	33	accrued	accrue	VERB
fcis-23843	43	34	from	from	ADP
fcis-23843	43	35	artificial	artificial	ADJ
fcis-23843	43	36	intelligence	intelligence	NOUN
fcis-23843	43	37	(	(	PUNCT
fcis-23843	43	38	ai	ai	NOUN
fcis-23843	43	39	)	)	PUNCT
fcis-23843	43	40	techniques	technique	NOUN
fcis-23843	43	41	;	;	PUNCT
fcis-23843	43	42	while	while	SCONJ
fcis-23843	43	43	at	at	ADP
fcis-23843	43	44	the	the	DET
fcis-23843	43	45	same	same	ADJ
fcis-23843	43	46	time	time	NOUN
fcis-23843	43	47	looking	look	VERB
fcis-23843	43	48	at	at	ADP
fcis-23843	43	49	ethical	ethical	ADJ
fcis-23843	43	50	and	and	CCONJ
fcis-23843	43	51	social	social	ADJ
fcis-23843	43	52	issues	issue	NOUN
fcis-23843	43	53	that	that	PRON
fcis-23843	43	54	may	may	AUX
fcis-23843	43	55	arise	arise	VERB
fcis-23843	43	56	during	during	ADP
fcis-23843	43	57	their	their	PRON
fcis-23843	43	58	practical	practical	ADJ
fcis-23843	43	59	application	application	NOUN
fcis-23843	43	60	.	.	PUNCT
fcis-23843	44	1	the	the	DET
fcis-23843	44	2	above	above	ADJ
fcis-23843	44	3	step	step	NOUN
fcis-23843	44	4	will	will	AUX
fcis-23843	44	5	act	act	VERB
fcis-23843	44	6	as	as	ADP
fcis-23843	44	7	a	a	DET
fcis-23843	44	8	firm	firm	ADJ
fcis-23843	44	9	base	base	NOUN
fcis-23843	44	10	for	for	ADP
fcis-23843	44	11	future	future	ADJ
fcis-23843	44	12	research	research	NOUN
fcis-23843	44	13	techniques	technique	NOUN
fcis-23843	44	14	as	as	ADV
fcis-23843	44	15	well	well	ADV
fcis-23843	44	16	as	as	ADP
fcis-23843	44	17	case	case	NOUN
fcis-23843	44	18	studies	study	NOUN
fcis-23843	44	19	.	.	PUNCT
fcis-23843	45	1	3	3	X
fcis-23843	45	2	.	.	X
fcis-23843	45	3	methodology	methodology	NOUN
fcis-23843	45	4	3.1	3.1	NUM
fcis-23843	45	5	.	.	PUNCT
fcis-23843	46	1	data	datum	NOUN
fcis-23843	46	2	collection	collection	NOUN
fcis-23843	46	3	the	the	DET
fcis-23843	46	4	collection	collection	NOUN
fcis-23843	46	5	of	of	ADP
fcis-23843	46	6	data	datum	NOUN
fcis-23843	46	7	for	for	ADP
fcis-23843	46	8	this	this	DET
fcis-23843	46	9	research	research	NOUN
fcis-23843	46	10	includes	include	VERB
fcis-23843	46	11	three	three	NUM
fcis-23843	46	12	main	main	ADJ
fcis-23843	46	13	parts	part	NOUN
fcis-23843	46	14	:	:	PUNCT
fcis-23843	46	15	where	where	SCONJ
fcis-23843	46	16	we	we	PRON
fcis-23843	46	17	get	get	VERB
fcis-23843	46	18	our	our	PRON
fcis-23843	46	19	information	information	NOUN
fcis-23843	46	20	from	from	ADP
fcis-23843	46	21	,	,	PUNCT
fcis-23843	46	22	how	how	SCONJ
fcis-23843	46	23	we	we	PRON
fcis-23843	46	24	gather	gather	VERB
fcis-23843	46	25	it	it	PRON
fcis-23843	46	26	,	,	PUNCT
fcis-23843	46	27	and	and	CCONJ
fcis-23843	46	28	what	what	PRON
fcis-23843	46	29	we	we	PRON
fcis-23843	46	30	do	do	AUX
fcis-23843	46	31	to	to	ADP
fcis-23843	46	32	it	it	PRON
fcis-23843	46	33	before	before	ADP
fcis-23843	46	34	analyzing	analyze	VERB
fcis-23843	46	35	we	we	PRON
fcis-23843	46	36	collect	collect	VERB
fcis-23843	46	37	it	it	PRON
fcis-23843	46	38	like	like	ADP
fcis-23843	46	39	this	this	PRON
fcis-23843	46	40	so	so	SCONJ
fcis-23843	46	41	that	that	SCONJ
fcis-23843	46	42	the	the	DET
fcis-23843	46	43	resulting	result	VERB
fcis-23843	46	44	dataset	dataset	NOUN
fcis-23843	46	45	can	can	AUX
fcis-23843	46	46	be	be	AUX
fcis-23843	46	47	as	as	ADV
fcis-23843	46	48	high	high	ADJ
fcis-23843	46	49	quality	quality	NOUN
fcis-23843	46	50	and	and	CCONJ
fcis-23843	46	51	useful	useful	ADJ
fcis-23843	46	52	as	as	ADP
fcis-23843	46	53	possible	possible	ADJ
fcis-23843	46	54	sources	source	NOUN
fcis-23843	46	55	are	be	AUX
fcis-23843	46	56	the	the	DET
fcis-23843	46	57	different	different	ADJ
fcis-23843	46	58	places	place	NOUN
fcis-23843	46	59	one	one	PRON
fcis-23843	46	60	might	might	AUX
fcis-23843	46	61	look	look	VERB
fcis-23843	46	62	when	when	SCONJ
fcis-23843	46	63	seeking	seek	VERB
fcis-23843	46	64	out	out	ADP
fcis-23843	46	65	facts	fact	NOUN
fcis-23843	46	66	or	or	CCONJ
fcis-23843	46	67	figures	figure	NOUN
fcis-23843	46	68	;	;	PUNCT
fcis-23843	46	69	methods	method	NOUN
fcis-23843	46	70	refer	refer	VERB
fcis-23843	46	71	to	to	ADP
fcis-23843	46	72	specific	specific	ADJ
fcis-23843	46	73	techniques	technique	NOUN
fcis-23843	46	74	used	use	VERB
fcis-23843	46	75	in	in	ADP
fcis-23843	46	76	acquiring	acquire	VERB
fcis-23843	46	77	knowledge	knowledge	NOUN
fcis-23843	46	78	such	such	ADJ
fcis-23843	46	79	as	as	ADP
fcis-23843	46	80	surveys	survey	NOUN
fcis-23843	46	81	or	or	CCONJ
fcis-23843	46	82	experiments	experiment	NOUN
fcis-23843	46	83	on	on	ADP
fcis-23843	46	84	people	people	NOUN
fcis-23843	46	85	animals	animal	NOUN
fcis-23843	46	86	plants	plant	VERB
fcis-23843	46	87	etcetera	etcetera	NOUN
fcis-23843	46	88	;	;	PUNCT
fcis-23843	46	89	while	while	SCONJ
fcis-23843	46	90	preprocessing	preprocesse	VERB
fcis-23843	46	91	steps	step	NOUN
fcis-23843	46	92	involves	involve	VERB
fcis-23843	46	93	any	any	DET
fcis-23843	46	94	sort	sort	ADJ
fcis-23843	46	95	manipulation	manipulation	NOUN
fcis-23843	46	96	like	like	ADP
fcis-23843	46	97	cleaning	clean	VERB
fcis-23843	46	98	up	up	ADP
fcis-23843	46	99	messy	messy	ADJ
fcis-23843	46	100	spreadsheets	spreadsheet	NOUN
fcis-23843	46	101	trying	try	VERB
fcis-23843	46	102	fit	fit	ADJ
fcis-23843	46	103	everything	everything	PRON
fcis-23843	46	104	into	into	ADP
fcis-23843	46	105	neat	neat	ADJ
fcis-23843	46	106	little	little	ADJ
fcis-23843	46	107	columns	column	NOUN
fcis-23843	46	108	so	so	ADV
fcis-23843	46	109	forth	forth	ADV
fcis-23843	46	110	while	while	SCONJ
fcis-23843	46	111	many	many	ADJ
fcis-23843	46	112	other	other	ADJ
fcis-23843	46	113	points	point	NOUN
fcis-23843	46	114	could	could	AUX
fcis-23843	46	115	also	also	ADV
fcis-23843	46	116	be	be	AUX
fcis-23843	46	117	raised	raise	VERB
fcis-23843	46	118	regarding	regard	VERB
fcis-23843	46	119	these	these	DET
fcis-23843	46	120	areas	area	NOUN
fcis-23843	46	121	,	,	PUNCT
fcis-23843	46	122	the	the	DET
fcis-23843	46	123	above	above	ADV
fcis-23843	46	124	related	related	ADJ
fcis-23843	46	125	issues	issue	NOUN
fcis-23843	46	126	have	have	AUX
fcis-23843	46	127	been	be	AUX
fcis-23843	46	128	particularly	particularly	ADV
fcis-23843	46	129	highlighted	highlight	VERB
fcis-23843	46	130	.	.	PUNCT
fcis-23843	47	1	such	such	ADJ
fcis-23843	47	2	databases	database	NOUN
fcis-23843	47	3	contain	contain	VERB
fcis-23843	47	4	various	various	ADJ
fcis-23843	47	5	types	type	NOUN
fcis-23843	47	6	of	of	ADP
fcis-23843	47	7	epidemiologic	epidemiologic	ADJ
fcis-23843	47	8	information	information	NOUN
fcis-23843	47	9	,	,	PUNCT
fcis-23843	47	10	including	include	VERB
fcis-23843	47	11	frequency	frequency	NOUN
fcis-23843	47	12	,	,	PUNCT
fcis-23843	47	13	morbidity	morbidity	NOUN
fcis-23843	47	14	and	and	CCONJ
fcis-23843	47	15	mortality	mortality	NOUN
fcis-23843	47	16	rates	rate	NOUN
fcis-23843	47	17	,	,	PUNCT
fcis-23843	47	18	and	and	CCONJ
fcis-23843	47	19	geographic	geographic	ADJ
fcis-23843	47	20	distribution	distribution	NOUN
fcis-23843	47	21	of	of	ADP
fcis-23843	47	22	diseases	disease	NOUN
fcis-23843	47	23	.	.	PUNCT
fcis-23843	48	1	the	the	DET
fcis-23843	48	2	clinical	clinical	ADJ
fcis-23843	48	3	diagnosis	diagnosis	NOUN
fcis-23843	48	4	,	,	PUNCT
fcis-23843	48	5	treatment	treatment	NOUN
fcis-23843	48	6	history	history	NOUN
fcis-23843	48	7	,	,	PUNCT
fcis-23843	48	8	and	and	CCONJ
fcis-23843	48	9	follow	follow	VERB
fcis-23843	48	10	-	-	PUNCT
fcis-23843	48	11	up	up	ADP
fcis-23843	48	12	data	datum	NOUN
fcis-23843	48	13	of	of	ADP
fcis-23843	48	14	patients	patient	NOUN
fcis-23843	48	15	are	be	AUX
fcis-23843	48	16	recorded	record	VERB
fcis-23843	48	17	using	use	VERB
fcis-23843	48	18	hospital	hospital	NOUN
fcis-23843	48	19	information	information	NOUN
fcis-23843	48	20	systems	system	NOUN
fcis-23843	48	21	(	(	PUNCT
fcis-23843	48	22	his	his	NOUN
fcis-23843	48	23	)	)	PUNCT
fcis-23843	48	24	in	in	ADP
fcis-23843	48	25	cooperating	cooperate	VERB
fcis-23843	48	26	medical	medical	ADJ
fcis-23843	48	27	facilities	facility	NOUN
fcis-23843	48	28	.	.	PUNCT
fcis-23843	49	1	national	national	ADJ
fcis-23843	49	2	and	and	CCONJ
fcis-23843	49	3	regional	regional	ADJ
fcis-23843	49	4	public	public	ADJ
fcis-23843	49	5	health	health	NOUN
fcis-23843	49	6	departments	department	NOUN
fcis-23843	49	7	regularly	regularly	ADV
fcis-23843	49	8	collect	collect	VERB
fcis-23843	49	9	and	and	CCONJ
fcis-23843	49	10	update	update	VERB
fcis-23843	49	11	public	public	ADJ
fcis-23843	49	12	health	health	NOUN
fcis-23843	49	13	database	database	NOUN
fcis-23843	49	14	datasets	dataset	NOUN
fcis-23843	49	15	to	to	PART
fcis-23843	49	16	ensure	ensure	VERB
fcis-23843	49	17	data	datum	NOUN
fcis-23843	49	18	representativeness	representativenes	VERB
fcis-23843	49	19	as	as	ADV
fcis-23843	49	20	well	well	ADV
fcis-23843	49	21	as	as	ADP
fcis-23843	49	22	timeliness	timeliness	NOUN
fcis-23843	49	23	.	.	PUNCT
fcis-23843	50	1	electronic	electronic	ADJ
fcis-23843	50	2	health	health	NOUN
fcis-23843	50	3	record	record	NOUN
fcis-23843	50	4	(	(	PUNCT
fcis-23843	50	5	ehr	ehr	NOUN
fcis-23843	50	6	)	)	PUNCT
fcis-23843	50	7	systems	system	NOUN
fcis-23843	50	8	record	record	NOUN
fcis-23843	50	9	health	health	NOUN
fcis-23843	50	10	care	care	NOUN
fcis-23843	50	11	providers	provider	NOUN
fcis-23843	50	12	'	'	PART
fcis-23843	50	13	services	service	NOUN
fcis-23843	50	14	automatically	automatically	ADV
fcis-23843	50	15	come	come	VERB
fcis-23843	50	16	from	from	ADP
fcis-23843	50	17	medical	medical	ADJ
fcis-23843	50	18	institutions	institution	NOUN
fcis-23843	50	19	that	that	PRON
fcis-23843	50	20	collect	collect	VERB
fcis-23843	50	21	this	this	DET
fcis-23843	50	22	information	information	NOUN
fcis-23843	50	23	.	.	PUNCT
fcis-23843	51	1	before	before	SCONJ
fcis-23843	51	2	the	the	DET
fcis-23843	51	3	information	information	NOUN
fcis-23843	51	4	is	be	AUX
fcis-23843	51	5	sent	send	VERB
fcis-23843	51	6	to	to	ADP
fcis-23843	51	7	a	a	DET
fcis-23843	51	8	research	research	NOUN
fcis-23843	51	9	database	database	NOUN
fcis-23843	51	10	,	,	PUNCT
fcis-23843	51	11	it	it	PRON
fcis-23843	51	12	must	must	AUX
fcis-23843	51	13	be	be	AUX
fcis-23843	51	14	de	de	VERB
fcis-23843	51	15	-	-	VERB
fcis-23843	51	16	identified	identify	VERB
fcis-23843	51	17	so	so	SCONJ
fcis-23843	51	18	that	that	SCONJ
fcis-23843	51	19	patient	patient	ADJ
fcis-23843	51	20	confidentiality	confidentiality	NOUN
fcis-23843	51	21	can	can	AUX
fcis-23843	51	22	be	be	AUX
fcis-23843	51	23	protected	protect	VERB
fcis-23843	51	24	[	[	PUNCT
fcis-23843	51	25	4	4	NUM
fcis-23843	51	26	]	]	PUNCT
fcis-23843	51	27	.	.	PUNCT
fcis-23843	52	1	to	to	PART
fcis-23843	52	2	improve	improve	VERB
fcis-23843	52	3	the	the	DET
fcis-23843	52	4	quality	quality	NOUN
fcis-23843	52	5	and	and	CCONJ
fcis-23843	52	6	accuracy	accuracy	NOUN
fcis-23843	52	7	of	of	ADP
fcis-23843	52	8	the	the	DET
fcis-23843	52	9	analysis	analysis	NOUN
fcis-23843	52	10	depicted	depict	VERB
fcis-23843	52	11	in	in	ADP
fcis-23843	52	12	<	<	X
fcis-23843	52	13	figure	figure	NOUN
fcis-23843	52	14	1	1	NUM
fcis-23843	52	15	>	>	NOUN
fcis-23843	52	16	the	the	DET
fcis-23843	52	17	study	study	NOUN
fcis-23843	52	18	follows	follow	VERB
fcis-23843	52	19	steps	step	NOUN
fcis-23843	52	20	to	to	PART
fcis-23843	52	21	prepare	prepare	VERB
fcis-23843	52	22	the	the	DET
fcis-23843	52	23	data	datum	NOUN
fcis-23843	52	24	before	before	ADP
fcis-23843	52	25	conducting	conduct	VERB
fcis-23843	52	26	the	the	DET
fcis-23843	52	27	analysis	analysis	NOUN
fcis-23843	52	28	;	;	PUNCT
fcis-23843	52	29	1	1	X
fcis-23843	52	30	.	.	X
fcis-23843	52	31	data	datum	NOUN
fcis-23843	52	32	cleaning	cleaning	NOUN
fcis-23843	52	33	;	;	PUNCT
fcis-23843	52	34	ensuring	ensure	VERB
fcis-23843	52	35	data	datum	NOUN
fcis-23843	52	36	integrity	integrity	NOUN
fcis-23843	52	37	and	and	CCONJ
fcis-23843	52	38	consistency	consistency	NOUN
fcis-23843	52	39	by	by	ADP
fcis-23843	52	40	rectifying	rectify	VERB
fcis-23843	52	41	or	or	CCONJ
fcis-23843	52	42	eliminating	eliminate	VERB
fcis-23843	52	43	errors	error	NOUN
fcis-23843	52	44	or	or	CCONJ
fcis-23843	52	45	outliers	outlier	NOUN
fcis-23843	52	46	.	.	PUNCT
fcis-23843	53	1	for	for	ADP
fcis-23843	53	2	instance	instance	NOUN
fcis-23843	53	3	correcting	correct	VERB
fcis-23843	53	4	or	or	CCONJ
fcis-23843	53	5	excluding	exclude	VERB
fcis-23843	53	6	records	record	NOUN
fcis-23843	53	7	,	,	PUNCT
fcis-23843	53	8	with	with	ADP
fcis-23843	53	9	ages	age	NOUN
fcis-23843	53	10	below	below	ADP
fcis-23843	53	11	0	0	NUM
fcis-23843	53	12	or	or	CCONJ
fcis-23843	53	13	above	above	ADP
fcis-23843	53	14	120	120	NUM
fcis-23843	53	15	,	,	PUNCT
fcis-23843	53	16	which	which	PRON
fcis-23843	53	17	are	be	AUX
fcis-23843	53	18	considered	consider	VERB
fcis-23843	53	19	input	input	NOUN
fcis-23843	53	20	errors	error	NOUN
fcis-23843	53	21	.	.	PUNCT
fcis-23843	54	1	2	2	X
fcis-23843	54	2	.	.	X
fcis-23843	54	3	data	datum	NOUN
fcis-23843	54	4	integration	integration	NOUN
fcis-23843	54	5	;	;	PUNCT
fcis-23843	54	6	bringing	bring	VERB
fcis-23843	54	7	together	together	ADP
fcis-23843	54	8	data	datum	NOUN
fcis-23843	54	9	from	from	ADP
fcis-23843	54	10	sources	source	NOUN
fcis-23843	54	11	into	into	ADP
fcis-23843	54	12	a	a	DET
fcis-23843	54	13	format	format	NOUN
fcis-23843	54	14	to	to	PART
fcis-23843	54	15	maintain	maintain	VERB
fcis-23843	54	16	consistency	consistency	NOUN
fcis-23843	54	17	in	in	ADP
fcis-23843	54	18	variable	variable	ADJ
fcis-23843	54	19	definitions	definition	NOUN
fcis-23843	54	20	and	and	CCONJ
fcis-23843	54	21	measurement	measurement	NOUN
fcis-23843	54	22	units	unit	NOUN
fcis-23843	54	23	.	.	PUNCT
fcis-23843	55	1	3	3	X
fcis-23843	55	2	.	.	X
fcis-23843	55	3	dealing	deal	VERB
fcis-23843	55	4	with	with	ADP
fcis-23843	55	5	missing	miss	VERB
fcis-23843	55	6	values	value	NOUN
fcis-23843	55	7	;	;	PUNCT
fcis-23843	55	8	employing	employ	VERB
fcis-23843	55	9	methods	method	NOUN
fcis-23843	55	10	to	to	PART
fcis-23843	55	11	fill	fill	VERB
fcis-23843	55	12	data	datum	NOUN
fcis-23843	55	13	,	,	PUNCT
fcis-23843	55	14	such	such	ADJ
fcis-23843	55	15	,	,	PUNCT
fcis-23843	55	16	as	as	ADP
fcis-23843	55	17	using	use	VERB
fcis-23843	55	18	mean	mean	NOUN
fcis-23843	55	19	,	,	PUNCT
fcis-23843	55	20	median	median	ADJ
fcis-23843	55	21	or	or	CCONJ
fcis-23843	55	22	predictive	predictive	ADJ
fcis-23843	55	23	models	model	NOUN
fcis-23843	55	24	based	base	VERB
fcis-23843	55	25	on	on	ADP
fcis-23843	55	26	other	other	ADJ
fcis-23843	55	27	variables	variable	NOUN
fcis-23843	55	28	.	.	PUNCT
fcis-23843	56	1	4	4	X
fcis-23843	56	2	.	.	X
fcis-23843	56	3	data	datum	NOUN
fcis-23843	56	4	transformation	transformation	NOUN
fcis-23843	56	5	;	;	PUNCT
fcis-23843	56	6	applying	apply	VERB
fcis-23843	56	7	transformations	transformation	NOUN
fcis-23843	56	8	to	to	ADP
fcis-23843	56	9	variables	variable	NOUN
fcis-23843	56	10	to	to	PART
fcis-23843	56	11	suit	suit	VERB
fcis-23843	56	12	particular	particular	ADJ
fcis-23843	56	13	analytical	analytical	ADJ
fcis-23843	56	14	techniques	technique	NOUN
fcis-23843	56	15	like	like	ADP
fcis-23843	56	16	normalizing	normalize	VERB
fcis-23843	56	17	continuous	continuous	ADJ
fcis-23843	56	18	variables	variable	NOUN
fcis-23843	56	19	or	or	CCONJ
fcis-23843	56	20	representing	represent	VERB
fcis-23843	56	21	categorical	categorical	ADJ
fcis-23843	56	22	variables	variable	NOUN
fcis-23843	56	23	as	as	ADP
fcis-23843	56	24	dummy	dummy	ADJ
fcis-23843	56	25	variables	variable	NOUN
fcis-23843	56	26	.	.	PUNCT
fcis-23843	57	1	figure	figure	NOUN
fcis-23843	57	2	1	1	NUM
fcis-23843	57	3	.	.	PUNCT
fcis-23843	57	4	data	datum	NOUN
fcis-23843	57	5	collection	collection	NOUN
fcis-23843	57	6	process	process	NOUN
fcis-23843	57	7	by	by	ADP
fcis-23843	57	8	following	follow	VERB
fcis-23843	57	9	these	these	DET
fcis-23843	57	10	steps	step	NOUN
fcis-23843	57	11	,	,	PUNCT
fcis-23843	57	12	the	the	DET
fcis-23843	57	13	study	study	NOUN
fcis-23843	57	14	ensures	ensure	VERB
fcis-23843	57	15	the	the	DET
fcis-23843	57	16	quality	quality	NOUN
fcis-23843	57	17	and	and	CCONJ
fcis-23843	57	18	consistency	consistency	NOUN
fcis-23843	57	19	of	of	ADP
fcis-23843	57	20	the	the	DET
fcis-23843	57	21	data	datum	NOUN
fcis-23843	57	22	set	set	VERB
fcis-23843	57	23	,	,	PUNCT
fcis-23843	57	24	providing	provide	VERB
fcis-23843	57	25	a	a	DET
fcis-23843	57	26	solid	solid	ADJ
fcis-23843	57	27	foundation	foundation	NOUN
fcis-23843	57	28	for	for	ADP
fcis-23843	57	29	the	the	DET
fcis-23843	57	30	use	use	NOUN
fcis-23843	57	31	of	of	ADP
fcis-23843	57	32	machine	machine	NOUN
fcis-23843	57	33	learning	learning	NOUN
fcis-23843	57	34	models	model	NOUN
fcis-23843	57	35	such	such	ADJ
fcis-23843	57	36	as	as	ADP
fcis-23843	57	37	knn	knn	PROPN
fcis-23843	57	38	,	,	PUNCT
fcis-23843	57	39	svm	svm	PROPN
fcis-23843	57	40	,	,	PUNCT
fcis-23843	57	41	and	and	CCONJ
fcis-23843	57	42	random	random	ADJ
fcis-23843	57	43	forests	forest	NOUN
fcis-23843	57	44	.	.	PUNCT
fcis-23843	58	1	3.2	3.2	NUM
fcis-23843	58	2	.	.	PUNCT
fcis-23843	58	3	model	model	NOUN
fcis-23843	58	4	selection	selection	NOUN
fcis-23843	58	5	to	to	PART
fcis-23843	58	6	facilitate	facilitate	VERB
fcis-23843	58	7	better	well	ADJ
fcis-23843	58	8	efficiency	efficiency	NOUN
fcis-23843	58	9	as	as	ADV
fcis-23843	58	10	well	well	ADV
fcis-23843	58	11	as	as	ADP
fcis-23843	58	12	accuracy	accuracy	NOUN
fcis-23843	58	13	in	in	ADP
fcis-23843	58	14	our	our	PRON
fcis-23843	58	15	epidemiological	epidemiological	ADJ
fcis-23843	58	16	data	datum	NOUN
fcis-23843	58	17	handling	handle	VERB
fcis-23843	58	18	we	we	PRON
fcis-23843	58	19	will	will	AUX
fcis-23843	58	20	be	be	AUX
fcis-23843	58	21	choosing	choose	VERB
fcis-23843	58	22	three	three	NUM
fcis-23843	58	23	key	key	ADJ
fcis-23843	58	24	machine	machine	NOUN
fcis-23843	58	25	learning	learning	NOUN
fcis-23843	58	26	models	model	NOUN
fcis-23843	58	27	which	which	PRON
fcis-23843	58	28	are	be	AUX
fcis-23843	58	29	:	:	PUNCT
fcis-23843	58	30	k	k	ADJ
fcis-23843	58	31	-	-	PUNCT
fcis-23843	58	32	nearest	near	ADJ
fcis-23843	58	33	neighbors	neighbor	NOUN
fcis-23843	58	34	25	25	NUM
fcis-23843	58	35	(	(	PUNCT
fcis-23843	58	36	knn	knn	PROPN
fcis-23843	58	37	)	)	PUNCT
fcis-23843	58	38	,	,	PUNCT
fcis-23843	58	39	support	support	NOUN
fcis-23843	58	40	vector	vector	NOUN
fcis-23843	58	41	machine	machine	NOUN
fcis-23843	58	42	(	(	PUNCT
fcis-23843	58	43	svm	svm	PROPN
fcis-23843	58	44	)	)	PUNCT
fcis-23843	58	45	,	,	PUNCT
fcis-23843	58	46	and	and	CCONJ
fcis-23843	58	47	random	random	ADJ
fcis-23843	58	48	forest	forest	NOUN
fcis-23843	58	49	.	.	PUNCT
fcis-23843	59	1	not	not	PART
fcis-23843	59	2	only	only	ADV
fcis-23843	59	3	these	these	DET
fcis-23843	59	4	models	model	NOUN
fcis-23843	59	5	are	be	AUX
fcis-23843	59	6	commonly	commonly	ADV
fcis-23843	59	7	utilized	utilize	VERB
fcis-23843	59	8	in	in	ADP
fcis-23843	59	9	academic	academic	ADJ
fcis-23843	59	10	and	and	CCONJ
fcis-23843	59	11	industrial	industrial	ADJ
fcis-23843	59	12	spheres	sphere	NOUN
fcis-23843	59	13	but	but	CCONJ
fcis-23843	59	14	also	also	ADV
fcis-23843	59	15	perform	perform	VERB
fcis-23843	59	16	well	well	ADV
fcis-23843	59	17	when	when	SCONJ
fcis-23843	59	18	dealing	deal	VERB
fcis-23843	59	19	with	with	ADP
fcis-23843	59	20	health	health	NOUN
fcis-23843	59	21	data	datum	NOUN
fcis-23843	59	22	.	.	PUNCT
fcis-23843	60	1	in	in	ADP
fcis-23843	60	2	this	this	DET
fcis-23843	60	3	article	article	NOUN
fcis-23843	60	4	,	,	PUNCT
fcis-23843	60	5	we	we	PRON
fcis-23843	60	6	offer	offer	VERB
fcis-23843	60	7	a	a	DET
fcis-23843	60	8	comprehensive	comprehensive	ADJ
fcis-23843	60	9	explanation	explanation	NOUN
fcis-23843	60	10	regarding	regard	VERB
fcis-23843	60	11	the	the	DET
fcis-23843	60	12	algorithmic	algorithmic	ADJ
fcis-23843	60	13	formula	formula	NOUN
fcis-23843	60	14	of	of	ADP
fcis-23843	60	15	these	these	DET
fcis-23843	60	16	models	model	NOUN
fcis-23843	60	17	and	and	CCONJ
fcis-23843	60	18	their	their	PRON
fcis-23843	60	19	application	application	NOUN
fcis-23843	60	20	in	in	ADP
fcis-23843	60	21	various	various	ADJ
fcis-23843	60	22	epidemiological	epidemiological	ADJ
fcis-23843	60	23	studies	study	NOUN
fcis-23843	60	24	.	.	PUNCT
fcis-23843	61	1	the	the	DET
fcis-23843	61	2	k	k	NOUN
fcis-23843	61	3	-	-	PUNCT
fcis-23843	61	4	nearest	near	ADJ
fcis-23843	61	5	neighbors	neighbor	NOUN
fcis-23843	61	6	(	(	PUNCT
fcis-23843	61	7	knn	knn	NOUN
fcis-23843	61	8	)	)	PUNCT
fcis-23843	61	9	algorithm	algorithm	NOUN
fcis-23843	61	10	formula	formula	NOUN
fcis-23843	61	11	looks	look	VERB
fcis-23843	61	12	like	like	ADP
fcis-23843	61	13	this	this	PRON
fcis-23843	61	14	:	:	PUNCT
fcis-23843	61	15	y	y	PROPN
fcis-23843	61	16	mode	mode	PROPN
fcis-23843	61	17	yi	yi	PROPN
fcis-23843	61	18	∣	∣	PROPN
fcis-23843	61	19	xi	xi	PROPN
fcis-23843	61	20	,	,	PUNCT
fcis-23843	61	21	yi	yi	PROPN
fcis-23843	61	22	∈	∈	PROPN
fcis-23843	61	23	nk	nk	PROPN
fcis-23843	61	24	x	x	INTJ
fcis-23843	61	25	where	where	SCONJ
fcis-23843	61	26	nk(x	nk(x	NOUN
fcis-23843	61	27	)	)	PUNCT
fcis-23843	61	28	is	be	AUX
fcis-23843	61	29	a	a	DET
fcis-23843	61	30	function	function	NOUN
fcis-23843	61	31	that	that	PRON
fcis-23843	61	32	identifies	identify	VERB
fcis-23843	61	33	the	the	DET
fcis-23843	61	34	points	point	NOUN
fcis-23843	61	35	in	in	ADP
fcis-23843	61	36	the	the	DET
fcis-23843	61	37	training	training	NOUN
fcis-23843	61	38	dataset	dataset	VERB
fcis-23843	61	39	closer	close	ADV
fcis-23843	61	40	to	to	ADP
fcis-23843	61	41	a	a	DET
fcis-23843	61	42	new	new	ADJ
fcis-23843	61	43	sample	sample	NOUN
fcis-23843	61	44	x	x	NOUN
fcis-23843	61	45	,	,	PUNCT
fcis-23843	61	46	and	and	CCONJ
fcis-23843	61	47	yi	yi	PROPN
fcis-23843	61	48	are	be	AUX
fcis-23843	61	49	the	the	DET
fcis-23843	61	50	category	category	NOUN
fcis-23843	61	51	labels	label	NOUN
fcis-23843	61	52	of	of	ADP
fcis-23843	61	53	these	these	DET
fcis-23843	61	54	points	point	NOUN
fcis-23843	61	55	.	.	PUNCT
fcis-23843	62	1	knn	knn	PROPN
fcis-23843	63	1	k	k	ADJ
fcis-23843	63	2	-	-	PUNCT
fcis-23843	63	3	nearest	near	ADJ
fcis-23843	63	4	neighbour	neighbour	NOUN
fcis-23843	63	5	is	be	AUX
fcis-23843	63	6	a	a	DET
fcis-23843	63	7	distance	distance	NOUN
fcis-23843	63	8	-	-	PUNCT
fcis-23843	63	9	based	base	VERB
fcis-23843	63	10	classification	classification	NOUN
fcis-23843	63	11	algorithm	algorithm	NOUN
fcis-23843	63	12	,	,	PUNCT
fcis-23843	63	13	which	which	PRON
fcis-23843	63	14	assumes	assume	VERB
fcis-23843	63	15	resembling	resemble	VERB
fcis-23843	63	16	instances	instance	NOUN
fcis-23843	63	17	will	will	AUX
fcis-23843	63	18	create	create	VERB
fcis-23843	63	19	similar	similar	ADJ
fcis-23843	63	20	output	output	NOUN
fcis-23843	63	21	.	.	PUNCT
fcis-23843	64	1	in	in	ADP
fcis-23843	64	2	the	the	DET
fcis-23843	64	3	field	field	NOUN
fcis-23843	64	4	of	of	ADP
fcis-23843	64	5	epidemiology	epidemiology	NOUN
fcis-23843	64	6	,	,	PUNCT
fcis-23843	64	7	one	one	PRON
fcis-23843	64	8	can	can	AUX
fcis-23843	64	9	utilize	utilize	VERB
fcis-23843	64	10	knn	knn	PROPN
fcis-23843	64	11	in	in	ADP
fcis-23843	64	12	making	make	VERB
fcis-23843	64	13	an	an	DET
fcis-23843	64	14	early	early	ADJ
fcis-23843	64	15	diagnosis	diagnosis	NOUN
fcis-23843	64	16	of	of	ADP
fcis-23843	64	17	various	various	ADJ
fcis-23843	64	18	diseases	disease	NOUN
fcis-23843	64	19	when	when	SCONJ
fcis-23843	64	20	disease	disease	NOUN
fcis-23843	64	21	patterns	pattern	NOUN
fcis-23843	64	22	are	be	AUX
fcis-23843	64	23	unclear	unclear	ADJ
fcis-23843	64	24	and	and	CCONJ
fcis-23843	64	25	the	the	DET
fcis-23843	64	26	data	datum	NOUN
fcis-23843	64	27	is	be	AUX
fcis-23843	64	28	well	well	ADV
fcis-23843	64	29	labeled	label	VERB
fcis-23843	64	30	the	the	DET
fcis-23843	64	31	primary	primary	ADJ
fcis-23843	64	32	benefits	benefit	NOUN
fcis-23843	64	33	of	of	ADP
fcis-23843	64	34	knn	knn	PROPN
fcis-23843	64	35	are	be	AUX
fcis-23843	64	36	its	its	PRON
fcis-23843	64	37	simplicity	simplicity	NOUN
fcis-23843	64	38	and	and	CCONJ
fcis-23843	64	39	ease	ease	NOUN
fcis-23843	64	40	of	of	ADP
fcis-23843	64	41	implementation	implementation	NOUN
fcis-23843	64	42	.	.	PUNCT
fcis-23843	65	1	this	this	PRON
fcis-23843	65	2	is	be	AUX
fcis-23843	65	3	particularly	particularly	ADV
fcis-23843	65	4	beneficial	beneficial	ADJ
fcis-23843	65	5	in	in	ADP
fcis-23843	65	6	scenarios	scenario	NOUN
fcis-23843	65	7	where	where	SCONJ
fcis-23843	65	8	quick	quick	ADJ
fcis-23843	65	9	diagnostic	diagnostic	ADJ
fcis-23843	65	10	feedback	feedback	NOUN
fcis-23843	65	11	would	would	AUX
fcis-23843	65	12	be	be	AUX
fcis-23843	65	13	helpful	helpful	ADJ
fcis-23843	65	14	,	,	PUNCT
fcis-23843	65	15	like	like	ADP
fcis-23843	65	16	the	the	DET
fcis-23843	65	17	early	early	ADJ
fcis-23843	65	18	-	-	PUNCT
fcis-23843	65	19	stage	stage	NOUN
fcis-23843	65	20	drug	drug	NOUN
fcis-23843	65	21	discovery	discovery	NOUN
fcis-23843	65	22	pipeline	pipeline	NOUN
fcis-23843	65	23	mentioned	mention	VERB
fcis-23843	65	24	earlier	early	ADV
fcis-23843	65	25	.	.	PUNCT
fcis-23843	66	1	the	the	DET
fcis-23843	66	2	support	support	NOUN
fcis-23843	66	3	vector	vector	NOUN
fcis-23843	66	4	machine	machine	NOUN
fcis-23843	66	5	(	(	PUNCT
fcis-23843	66	6	svm	svm	ADJ
fcis-23843	66	7	)	)	PUNCT
fcis-23843	66	8	algorithm	algorithm	NOUN
fcis-23843	66	9	formula	formula	NOUN
fcis-23843	66	10	is	be	AUX
fcis-23843	66	11	:	:	PUNCT
fcis-23843	66	12	minw	minw	ADJ
fcis-23843	66	13	,	,	PUNCT
fcis-23843	66	14	b	b	PROPN
fcis-23843	66	15	11	11	NUM
fcis-23843	66	16	2	2	NUM
fcis-23843	66	17	w	w	NOUN
fcis-23843	66	18	w	w	PROPN
fcis-23843	66	19	c	c	PROPN
fcis-23843	66	20	ξi	ξi	NOUN
fcis-23843	66	21	subject	subject	NOUN
fcis-23843	66	22	to	to	ADP
fcis-23843	66	23	yi	yi	PROPN
fcis-23843	66	24	w	w	PROPN
fcis-23843	66	25	ϕ	ϕ	PROPN
fcis-23843	66	26	xi	xi	ADP
fcis-23843	66	27	b	b	PROPN
fcis-23843	66	28	1	1	NUM
fcis-23843	66	29	ξi	ξi	NOUN
fcis-23843	66	30	,	,	PUNCT
fcis-23843	66	31	ξi	ξi	NOUN
fcis-23843	66	32	0	0	NUM
fcis-23843	66	33	where	where	SCONJ
fcis-23843	66	34	wis	wis	ADP
fcis-23843	66	35	the	the	DET
fcis-23843	66	36	normal	normal	ADJ
fcis-23843	66	37	vector	vector	NOUN
fcis-23843	66	38	to	to	ADP
fcis-23843	66	39	the	the	DET
fcis-23843	66	40	decision	decision	NOUN
fcis-23843	66	41	boundary	boundary	NOUN
fcis-23843	66	42	,	,	PUNCT
fcis-23843	66	43	b	b	PROPN
fcis-23843	66	44	is	be	AUX
fcis-23843	66	45	the	the	DET
fcis-23843	66	46	bias	bias	NOUN
fcis-23843	66	47	,	,	PUNCT
fcis-23843	66	48	c	c	PROPN
fcis-23843	66	49	is	be	AUX
fcis-23843	66	50	the	the	DET
fcis-23843	66	51	regularization	regularization	NOUN
fcis-23843	66	52	parameter	parameter	NOUN
fcis-23843	66	53	,	,	PUNCT
fcis-23843	66	54	and	and	CCONJ
fcis-23843	66	55	ξi	ξi	NOUN
fcis-23843	66	56	are	be	AUX
fcis-23843	66	57	the	the	DET
fcis-23843	66	58	slack	slack	NOUN
fcis-23843	66	59	variables	variable	NOUN
fcis-23843	66	60	for	for	ADP
fcis-23843	66	61	handling	handle	VERB
fcis-23843	66	62	non	non	ADJ
fcis-23843	66	63	-	-	ADJ
fcis-23843	66	64	separable	separable	ADJ
fcis-23843	66	65	cases	case	NOUN
fcis-23843	66	66	.	.	PUNCT
fcis-23843	67	1	svm	svm	PROPN
fcis-23843	67	2	is	be	AUX
fcis-23843	67	3	a	a	DET
fcis-23843	67	4	powerful	powerful	ADJ
fcis-23843	67	5	classifier	classifier	NOUN
fcis-23843	67	6	capable	capable	ADJ
fcis-23843	67	7	of	of	ADP
fcis-23843	67	8	finding	find	VERB
fcis-23843	67	9	the	the	DET
fcis-23843	67	10	optimal	optimal	ADJ
fcis-23843	67	11	classification	classification	NOUN
fcis-23843	67	12	hyperplane	hyperplane	NOUN
fcis-23843	67	13	in	in	ADP
fcis-23843	67	14	high	high	ADJ
fcis-23843	67	15	-	-	PUNCT
fcis-23843	67	16	dimensional	dimensional	ADJ
fcis-23843	67	17	space	space	NOUN
fcis-23843	67	18	.	.	PUNCT
fcis-23843	68	1	svm	svm	PROPN
fcis-23843	68	2	has	have	AUX
fcis-23843	68	3	been	be	AUX
fcis-23843	68	4	used	use	VERB
fcis-23843	68	5	widely	widely	ADV
fcis-23843	68	6	in	in	ADP
fcis-23843	68	7	predicting	predict	VERB
fcis-23843	68	8	diseases	disease	NOUN
fcis-23843	68	9	with	with	ADP
fcis-23843	68	10	the	the	DET
fcis-23843	68	11	help	help	NOUN
fcis-23843	68	12	of	of	ADP
fcis-23843	68	13	biomarkers	biomarker	NOUN
fcis-23843	68	14	.	.	PUNCT
fcis-23843	69	1	the	the	DET
fcis-23843	69	2	ability	ability	NOUN
fcis-23843	69	3	of	of	ADP
fcis-23843	69	4	svm	svm	PROPN
fcis-23843	69	5	is	be	AUX
fcis-23843	69	6	that	that	SCONJ
fcis-23843	69	7	it	it	PRON
fcis-23843	69	8	can	can	AUX
fcis-23843	69	9	be	be	AUX
fcis-23843	69	10	able	able	ADJ
fcis-23843	69	11	to	to	PART
fcis-23843	69	12	give	give	VERB
fcis-23843	69	13	sharp	sharp	ADJ
fcis-23843	69	14	classification	classification	NOUN
fcis-23843	69	15	boundaries	boundary	NOUN
fcis-23843	69	16	when	when	SCONJ
fcis-23843	69	17	features	feature	NOUN
fcis-23843	69	18	are	be	AUX
fcis-23843	69	19	large	large	ADJ
fcis-23843	69	20	and	and	CCONJ
fcis-23843	69	21	complex	complex	ADJ
fcis-23843	69	22	and	and	CCONJ
fcis-23843	69	23	the	the	DET
fcis-23843	69	24	relationship	relationship	NOUN
fcis-23843	69	25	between	between	ADP
fcis-23843	69	26	the	the	DET
fcis-23843	69	27	feature	feature	NOUN
fcis-23843	69	28	and	and	CCONJ
fcis-23843	69	29	the	the	DET
fcis-23843	69	30	outcome	outcome	NOUN
fcis-23843	69	31	is	be	AUX
fcis-23843	69	32	nonlinear	nonlinear	ADJ
fcis-23843	69	33	and	and	CCONJ
fcis-23843	69	34	the	the	DET
fcis-23843	69	35	volumes	volume	NOUN
fcis-23843	69	36	of	of	ADP
fcis-23843	69	37	data	datum	NOUN
fcis-23843	69	38	are	be	AUX
fcis-23843	69	39	huge	huge	ADJ
fcis-23843	69	40	[	[	X
fcis-23843	69	41	5	5	NUM
fcis-23843	69	42	]	]	PUNCT
fcis-23843	69	43	.	.	PUNCT
fcis-23843	70	1	the	the	DET
fcis-23843	70	2	formula	formula	NOUN
fcis-23843	70	3	for	for	ADP
fcis-23843	70	4	the	the	DET
fcis-23843	70	5	random	random	ADJ
fcis-23843	70	6	forest	forest	NOUN
fcis-23843	70	7	algorithm	algorithm	NOUN
fcis-23843	70	8	is	be	AUX
fcis-23843	70	9	given	give	VERB
fcis-23843	70	10	by	by	ADP
fcis-23843	70	11	:	:	PUNCT
fcis-23843	70	12	y	y	PROPN
fcis-23843	70	13	mode	mode	PROPN
fcis-23843	70	14	treei	treei	NOUN
fcis-23843	70	15	x	x	PROPN
fcis-23843	70	16	∣	∣	PROPN
fcis-23843	70	17	i	i	NOUN
fcis-23843	70	18	1,2	1,2	NUM
fcis-23843	70	19	,	,	PUNCT
fcis-23843	70	20	…	…	PUNCT
fcis-23843	70	21	,	,	PUNCT
fcis-23843	70	22	b	b	X
fcis-23843	70	23	where	where	SCONJ
fcis-23843	70	24	is	be	AUX
fcis-23843	70	25	the	the	DET
fcis-23843	70	26	tree	tree	NOUN
fcis-23843	70	27	number	number	NOUN
fcis-23843	70	28	in	in	ADP
fcis-23843	70	29	the	the	DET
fcis-23843	70	30	random	random	ADJ
fcis-23843	70	31	forest	forest	NOUN
fcis-23843	70	32	,	,	PUNCT
fcis-23843	70	33	and	and	CCONJ
fcis-23843	70	34	is	be	AUX
fcis-23843	70	35	the	the	DET
fcis-23843	70	36	total	total	ADJ
fcis-23843	70	37	number	number	NOUN
fcis-23843	70	38	of	of	ADP
fcis-23843	70	39	trees	tree	NOUN
fcis-23843	70	40	.	.	PUNCT
fcis-23843	71	1	a	a	DET
fcis-23843	71	2	random	random	ADJ
fcis-23843	71	3	forest	forest	NOUN
fcis-23843	71	4	is	be	AUX
fcis-23843	71	5	a	a	DET
fcis-23843	71	6	kind	kind	NOUN
fcis-23843	71	7	of	of	ADP
fcis-23843	71	8	ensemble	ensemble	ADJ
fcis-23843	71	9	learning	learning	NOUN
fcis-23843	71	10	method	method	NOUN
fcis-23843	71	11	in	in	ADP
fcis-23843	71	12	which	which	PRON
fcis-23843	71	13	aggregation	aggregation	NOUN
fcis-23843	71	14	increases	increase	VERB
fcis-23843	71	15	overall	overall	ADJ
fcis-23843	71	16	prediction	prediction	NOUN
fcis-23843	71	17	accuracy	accuracy	NOUN
fcis-23843	71	18	and	and	CCONJ
fcis-23843	71	19	generalization	generalization	NOUN
fcis-23843	71	20	while	while	SCONJ
fcis-23843	71	21	correcting	correct	VERB
fcis-23843	71	22	for	for	ADP
fcis-23843	71	23	the	the	DET
fcis-23843	71	24	instability	instability	NOUN
fcis-23843	71	25	of	of	ADP
fcis-23843	71	26	single	single	ADJ
fcis-23843	71	27	decision	decision	NOUN
fcis-23843	71	28	trees	tree	NOUN
fcis-23843	71	29	by	by	ADP
fcis-23843	71	30	building	build	VERB
fcis-23843	71	31	multiple	multiple	ADJ
fcis-23843	71	32	decision	decision	NOUN
fcis-23843	71	33	trees	tree	NOUN
fcis-23843	71	34	and	and	CCONJ
fcis-23843	71	35	aggregating	aggregate	VERB
fcis-23843	71	36	their	their	PRON
fcis-23843	71	37	predictions	prediction	NOUN
fcis-23843	71	38	.	.	PUNCT
fcis-23843	72	1	epidemiology	epidemiology	NOUN
fcis-23843	72	2	analysts	analyst	NOUN
fcis-23843	72	3	use	use	VERB
fcis-23843	72	4	the	the	DET
fcis-23843	72	5	concept	concept	NOUN
fcis-23843	72	6	of	of	ADP
fcis-23843	72	7	random	random	ADJ
fcis-23843	72	8	forests	forest	NOUN
fcis-23843	72	9	in	in	ADP
fcis-23843	72	10	identifying	identify	VERB
fcis-23843	72	11	and	and	CCONJ
fcis-23843	72	12	estimating	estimate	VERB
fcis-23843	72	13	all	all	DET
fcis-23843	72	14	kinds	kind	NOUN
fcis-23843	72	15	of	of	ADP
fcis-23843	72	16	disease	disease	NOUN
fcis-23843	72	17	-	-	PUNCT
fcis-23843	72	18	related	relate	VERB
fcis-23843	72	19	risk	risk	NOUN
fcis-23843	72	20	factors	factor	NOUN
fcis-23843	72	21	.	.	PUNCT
fcis-23843	73	1	in	in	ADP
fcis-23843	73	2	consequence	consequence	NOUN
fcis-23843	73	3	,	,	PUNCT
fcis-23843	73	4	it	it	PRON
fcis-23843	73	5	is	be	AUX
fcis-23843	73	6	effective	effective	ADJ
fcis-23843	73	7	in	in	ADP
fcis-23843	73	8	the	the	DET
fcis-23843	73	9	management	management	NOUN
fcis-23843	73	10	of	of	ADP
fcis-23843	73	11	large	large	ADJ
fcis-23843	73	12	data	datum	NOUN
fcis-23843	73	13	inputs	input	NOUN
fcis-23843	73	14	and	and	CCONJ
fcis-23843	73	15	exults	exult	VERB
fcis-23843	73	16	in	in	ADP
fcis-23843	73	17	datasets	dataset	NOUN
fcis-23843	73	18	with	with	ADP
fcis-23843	73	19	interactions	interaction	NOUN
fcis-23843	73	20	and	and	CCONJ
fcis-23843	73	21	non	non	ADJ
fcis-23843	73	22	-	-	ADJ
fcis-23843	73	23	linear	linear	ADJ
fcis-23843	73	24	relationships	relationship	NOUN
fcis-23843	73	25	.	.	PUNCT
fcis-23843	74	1	the	the	DET
fcis-23843	74	2	three	three	NUM
fcis-23843	74	3	models	model	NOUN
fcis-23843	74	4	are	be	AUX
fcis-23843	74	5	brought	bring	VERB
fcis-23843	74	6	together	together	ADV
fcis-23843	74	7	in	in	ADP
fcis-23843	74	8	this	this	DET
fcis-23843	74	9	study	study	NOUN
fcis-23843	74	10	such	such	ADJ
fcis-23843	74	11	that	that	SCONJ
fcis-23843	74	12	the	the	DET
fcis-23843	74	13	strength	strength	NOUN
fcis-23843	74	14	of	of	ADP
fcis-23843	74	15	individual	individual	ADJ
fcis-23843	74	16	technologies	technology	NOUN
fcis-23843	74	17	can	can	AUX
fcis-23843	74	18	be	be	AUX
fcis-23843	74	19	harnessed	harness	VERB
fcis-23843	74	20	in	in	ADP
fcis-23843	74	21	making	make	VERB
fcis-23843	74	22	the	the	DET
fcis-23843	74	23	process	process	NOUN
fcis-23843	74	24	of	of	ADP
fcis-23843	74	25	epidemiological	epidemiological	ADJ
fcis-23843	74	26	data	datum	NOUN
fcis-23843	74	27	analysis	analysis	NOUN
fcis-23843	74	28	more	more	ADV
fcis-23843	74	29	comprehensive	comprehensive	ADJ
fcis-23843	74	30	and	and	CCONJ
fcis-23843	74	31	precise	precise	ADJ
fcis-23843	74	32	.	.	PUNCT
fcis-23843	75	1	the	the	DET
fcis-23843	75	2	selection	selection	NOUN
fcis-23843	75	3	of	of	ADP
fcis-23843	75	4	such	such	ADJ
fcis-23843	75	5	models	model	NOUN
fcis-23843	75	6	was	be	AUX
fcis-23843	75	7	influenced	influence	VERB
fcis-23843	75	8	by	by	ADP
fcis-23843	75	9	their	their	PRON
fcis-23843	75	10	flexibility	flexibility	NOUN
fcis-23843	75	11	and	and	CCONJ
fcis-23843	75	12	efficiency	efficiency	NOUN
fcis-23843	75	13	in	in	ADP
fcis-23843	75	14	specific	specific	ADJ
fcis-23843	75	15	research	research	NOUN
fcis-23843	75	16	conditions	condition	NOUN
fcis-23843	75	17	—	—	PUNCT
fcis-23843	75	18	to	to	PART
fcis-23843	75	19	offer	offer	VERB
fcis-23843	75	20	more	more	ADV
fcis-23843	75	21	integrated	integrate	VERB
fcis-23843	75	22	methods	method	NOUN
fcis-23843	75	23	of	of	ADP
fcis-23843	75	24	disease	disease	NOUN
fcis-23843	75	25	prediction	prediction	NOUN
fcis-23843	75	26	and	and	CCONJ
fcis-23843	75	27	management	management	NOUN
fcis-23843	75	28	.	.	PUNCT
fcis-23843	76	1	3.3	3.3	NUM
fcis-23843	76	2	.	.	PUNCT
fcis-23843	77	1	model	model	NOUN
fcis-23843	77	2	implementation	implementation	NOUN
fcis-23843	77	3	for	for	ADP
fcis-23843	77	4	our	our	PRON
fcis-23843	77	5	study	study	NOUN
fcis-23843	77	6	,	,	PUNCT
fcis-23843	77	7	we	we	PRON
fcis-23843	77	8	utilized	utilize	VERB
fcis-23843	77	9	three	three	NUM
fcis-23843	77	10	machine	machine	NOUN
fcis-23843	77	11	learning	learning	NOUN
fcis-23843	77	12	models	model	NOUN
fcis-23843	77	13	with	with	ADP
fcis-23843	77	14	excellent	excellent	ADJ
fcis-23843	77	15	special	special	ADJ
fcis-23843	77	16	prowess	prowess	NOUN
fcis-23843	77	17	in	in	ADP
fcis-23843	77	18	epidemiological	epidemiological	ADJ
fcis-23843	77	19	data	datum	NOUN
fcis-23843	77	20	analysis	analysis	NOUN
fcis-23843	77	21	:	:	PUNCT
fcis-23843	77	22	k	k	ADJ
fcis-23843	77	23	-	-	PUNCT
fcis-23843	77	24	nearest	near	ADJ
fcis-23843	77	25	neighbors	neighbor	NOUN
fcis-23843	77	26	(	(	PUNCT
fcis-23843	77	27	knn	knn	PROPN
fcis-23843	77	28	)	)	PUNCT
fcis-23843	77	29	,	,	PUNCT
fcis-23843	77	30	support	support	NOUN
fcis-23843	77	31	vector	vector	NOUN
fcis-23843	77	32	machine	machine	NOUN
fcis-23843	77	33	(	(	PUNCT
fcis-23843	77	34	svm	svm	PROPN
fcis-23843	77	35	)	)	PUNCT
fcis-23843	77	36	,	,	PUNCT
fcis-23843	77	37	and	and	CCONJ
fcis-23843	77	38	random	random	ADJ
fcis-23843	77	39	forest	forest	NOUN
fcis-23843	77	40	.	.	PUNCT
fcis-23843	78	1	the	the	DET
fcis-23843	78	2	details	detail	NOUN
fcis-23843	78	3	of	of	ADP
fcis-23843	78	4	the	the	DET
fcis-23843	78	5	implementation	implementation	NOUN
fcis-23843	78	6	of	of	ADP
fcis-23843	78	7	each	each	DET
fcis-23843	78	8	model	model	NOUN
fcis-23843	78	9	,	,	PUNCT
fcis-23843	78	10	and	and	CCONJ
fcis-23843	78	11	the	the	DET
fcis-23843	78	12	selection	selection	NOUN
fcis-23843	78	13	of	of	ADP
fcis-23843	78	14	parameters	parameter	NOUN
fcis-23843	78	15	,	,	PUNCT
fcis-23843	78	16	including	include	VERB
fcis-23843	78	17	the	the	DET
fcis-23843	78	18	training	training	NOUN
fcis-23843	78	19	procedure	procedure	NOUN
fcis-23843	78	20	below	below	ADV
fcis-23843	78	21	.	.	PUNCT
fcis-23843	79	1	for	for	ADP
fcis-23843	79	2	the	the	DET
fcis-23843	79	3	k	k	NOUN
fcis-23843	79	4	-	-	PUNCT
fcis-23843	79	5	nearest	near	ADJ
fcis-23843	79	6	neighbor	neighbor	NOUN
fcis-23843	79	7	model	model	NOUN
fcis-23843	79	8	,	,	PUNCT
fcis-23843	79	9	the	the	DET
fcis-23843	79	10	sensitivity	sensitivity	NOUN
fcis-23843	79	11	and	and	CCONJ
fcis-23843	79	12	importance	importance	NOUN
fcis-23843	79	13	of	of	ADP
fcis-23843	79	14	parameter	parameter	NOUN
fcis-23843	79	15	k	k	PROPN
fcis-23843	79	16	remain	remain	VERB
fcis-23843	79	17	high	high	ADJ
fcis-23843	79	18	,	,	PUNCT
fcis-23843	79	19	and	and	CCONJ
fcis-23843	79	20	its	its	PRON
fcis-23843	79	21	selection	selection	NOUN
fcis-23843	79	22	is	be	AUX
fcis-23843	79	23	therefore	therefore	ADV
fcis-23843	79	24	a	a	DET
fcis-23843	79	25	key	key	ADJ
fcis-23843	79	26	factor	factor	NOUN
fcis-23843	79	27	of	of	ADP
fcis-23843	79	28	implementation	implementation	NOUN
fcis-23843	79	29	that	that	PRON
fcis-23843	79	30	affects	affect	VERB
fcis-23843	79	31	the	the	DET
fcis-23843	79	32	sensitivity	sensitivity	NOUN
fcis-23843	79	33	and	and	CCONJ
fcis-23843	79	34	generalization	generalization	NOUN
fcis-23843	79	35	ability	ability	NOUN
fcis-23843	79	36	of	of	ADP
fcis-23843	79	37	the	the	DET
fcis-23843	79	38	model	model	NOUN
fcis-23843	79	39	.	.	PUNCT
fcis-23843	80	1	in	in	ADP
fcis-23843	80	2	our	our	PRON
fcis-23843	80	3	data	datum	NOUN
fcis-23843	80	4	set	set	VERB
fcis-23843	80	5	,	,	PUNCT
fcis-23843	80	6	we	we	PRON
fcis-23843	80	7	performed	perform	VERB
fcis-23843	80	8	10	10	NUM
fcis-23843	80	9	-	-	ADJ
fcis-23843	80	10	fold	fold	ADJ
fcis-23843	80	11	cross	cross	NOUN
fcis-23843	80	12	-	-	NOUN
fcis-23843	80	13	validation	validation	NOUN
fcis-23843	80	14	of	of	ADP
fcis-23843	80	15	the	the	DET
fcis-23843	80	16	most	most	ADV
fcis-23843	80	17	appropriate	appropriate	ADJ
fcis-23843	80	18	kvalue	kvalue	NOUN
fcis-23843	80	19	to	to	PART
fcis-23843	80	20	be	be	AUX
fcis-23843	80	21	used	use	VERB
fcis-23843	80	22	,	,	PUNCT
fcis-23843	80	23	over	over	ADP
fcis-23843	80	24	k	k	NOUN
fcis-23843	80	25	=	=	SYM
fcis-23843	80	26	1	1	NUM
fcis-23843	80	27	to	to	ADP
fcis-23843	80	28	k	k	NOUN
fcis-23843	80	29	=	=	PUNCT
fcis-23843	80	30	20	20	NUM
fcis-23843	80	31	.	.	PUNCT
fcis-23843	81	1	after	after	ADP
fcis-23843	81	2	testing	test	VERB
fcis-23843	81	3	the	the	DET
fcis-23843	81	4	performance	performance	NOUN
fcis-23843	81	5	at	at	ADP
fcis-23843	81	6	each	each	DET
fcis-23843	81	7	k	k	NOUN
fcis-23843	81	8	-	-	NOUN
fcis-23843	81	9	value	value	NOUN
fcis-23843	81	10	,	,	PUNCT
fcis-23843	81	11	we	we	PRON
fcis-23843	81	12	ended	end	VERB
fcis-23843	81	13	up	up	ADP
fcis-23843	81	14	selecting	select	VERB
fcis-23843	81	15	k	k	X
fcis-23843	81	16	=	=	SYM
fcis-23843	81	17	5	5	NUM
fcis-23843	81	18	as	as	ADP
fcis-23843	81	19	the	the	DET
fcis-23843	81	20	best	good	ADJ
fcis-23843	81	21	balance	balance	NOUN
fcis-23843	81	22	between	between	ADP
fcis-23843	81	23	accuracy	accuracy	NOUN
fcis-23843	81	24	and	and	CCONJ
fcis-23843	81	25	stability	stability	NOUN
fcis-23843	81	26	.	.	PUNCT
fcis-23843	82	1	concerning	concern	VERB
fcis-23843	82	2	the	the	DET
fcis-23843	82	3	training	training	NOUN
fcis-23843	82	4	process	process	NOUN
fcis-23843	82	5	,	,	PUNCT
fcis-23843	82	6	the	the	DET
fcis-23843	82	7	very	very	ADV
fcis-23843	82	8	first	first	ADJ
fcis-23843	82	9	step	step	NOUN
fcis-23843	82	10	was	be	AUX
fcis-23843	82	11	standardizing	standardize	VERB
fcis-23843	82	12	the	the	DET
fcis-23843	82	13	data	datum	NOUN
fcis-23843	82	14	so	so	SCONJ
fcis-23843	82	15	every	every	DET
fcis-23843	82	16	feature	feature	NOUN
fcis-23843	82	17	contributes	contribute	VERB
fcis-23843	82	18	an	an	DET
fcis-23843	82	19	equal	equal	ADJ
fcis-23843	82	20	amount	amount	NOUN
fcis-23843	82	21	of	of	ADP
fcis-23843	82	22	influence	influence	NOUN
fcis-23843	82	23	in	in	ADP
fcis-23843	82	24	the	the	DET
fcis-23843	82	25	distance	distance	NOUN
fcis-23843	82	26	calculations	calculation	NOUN
fcis-23843	82	27	.	.	PUNCT
fcis-23843	83	1	we	we	PRON
fcis-23843	83	2	further	far	ADV
fcis-23843	83	3	trained	train	VERB
fcis-23843	83	4	the	the	DET
fcis-23843	83	5	knn	knn	PROPN
fcis-23843	83	6	model	model	NOUN
fcis-23843	83	7	using	use	VERB
fcis-23843	83	8	the	the	DET
fcis-23843	83	9	optimal	optimal	ADJ
fcis-23843	83	10	k	k	NOUN
fcis-23843	83	11	-	-	NOUN
fcis-23843	83	12	value	value	NOUN
fcis-23843	83	13	,	,	PUNCT
fcis-23843	83	14	k=5	k=5	PROPN
fcis-23843	83	15	,	,	PUNCT
fcis-23843	83	16	on	on	ADP
fcis-23843	83	17	the	the	DET
fcis-23843	83	18	homologous	homologous	ADJ
fcis-23843	83	19	dataset	dataset	NOUN
fcis-23843	83	20	.	.	PUNCT
fcis-23843	84	1	once	once	ADV
fcis-23843	84	2	trained	train	VERB
fcis-23843	84	3	,	,	PUNCT
fcis-23843	84	4	this	this	DET
fcis-23843	84	5	model	model	NOUN
fcis-23843	84	6	was	be	AUX
fcis-23843	84	7	evaluated	evaluate	VERB
fcis-23843	84	8	on	on	ADP
fcis-23843	84	9	an	an	DET
fcis-23843	84	10	independent	independent	ADJ
fcis-23843	84	11	test	test	NOUN
fcis-23843	84	12	set	set	NOUN
fcis-23843	84	13	.	.	PUNCT
fcis-23843	85	1	this	this	DET
fcis-23843	85	2	set	set	NOUN
fcis-23843	85	3	of	of	ADP
fcis-23843	85	4	procedures	procedure	NOUN
fcis-23843	85	5	assured	assure	VERB
fcis-23843	85	6	that	that	SCONJ
fcis-23843	85	7	the	the	DET
fcis-23843	85	8	knn	knn	PROPN
fcis-23843	85	9	model	model	NOUN
fcis-23843	85	10	was	be	AUX
fcis-23843	85	11	going	go	VERB
fcis-23843	85	12	to	to	PART
fcis-23843	85	13	make	make	VERB
fcis-23843	85	14	reliable	reliable	ADJ
fcis-23843	85	15	and	and	CCONJ
fcis-23843	85	16	efficient	efficient	ADJ
fcis-23843	85	17	predictions	prediction	NOUN
fcis-23843	85	18	for	for	ADP
fcis-23843	85	19	our	our	PRON
fcis-23843	85	20	epidemiological	epidemiological	ADJ
fcis-23843	85	21	study	study	NOUN
fcis-23843	85	22	.	.	PUNCT
fcis-23843	86	1	for	for	ADP
fcis-23843	86	2	the	the	DET
fcis-23843	86	3	svm	svm	ADJ
fcis-23843	86	4	model	model	NOUN
fcis-23843	86	5	,	,	PUNCT
fcis-23843	86	6	we	we	PRON
fcis-23843	86	7	worked	work	VERB
fcis-23843	86	8	with	with	ADP
fcis-23843	86	9	the	the	DET
fcis-23843	86	10	hyperparameter	hyperparameter	NOUN
fcis-23843	86	11	c	c	NOUN
fcis-23843	86	12	,	,	PUNCT
fcis-23843	86	13	which	which	PRON
fcis-23843	86	14	is	be	AUX
fcis-23843	86	15	the	the	DET
fcis-23843	86	16	penalty	penalty	NOUN
fcis-23843	86	17	parameter	parameter	NOUN
fcis-23843	86	18	in	in	ADP
fcis-23843	86	19	the	the	DET
fcis-23843	86	20	svm	svm	ADJ
fcis-23843	86	21	model	model	NOUN
fcis-23843	86	22	,	,	PUNCT
fcis-23843	86	23	and	and	CCONJ
fcis-23843	86	24	it	it	PRON
fcis-23843	86	25	determines	determine	VERB
fcis-23843	86	26	the	the	DET
fcis-23843	86	27	tolerance	tolerance	NOUN
fcis-23843	86	28	of	of	ADP
fcis-23843	86	29	misclassification	misclassification	NOUN
fcis-23843	86	30	in	in	ADP
fcis-23843	86	31	the	the	DET
fcis-23843	86	32	svm	svm	ADJ
fcis-23843	86	33	model	model	NOUN
fcis-23843	86	34	.	.	PUNCT
fcis-23843	87	1	we	we	PRON
fcis-23843	87	2	varied	vary	VERB
fcis-23843	87	3	the	the	DET
fcis-23843	87	4	strength	strength	NOUN
fcis-23843	87	5	of	of	ADP
fcis-23843	87	6	regularization	regularization	NOUN
fcis-23843	87	7	by	by	ADP
fcis-23843	87	8	testing	test	VERB
fcis-23843	87	9	over	over	ADP
fcis-23843	87	10	a	a	DET
fcis-23843	87	11	range	range	NOUN
fcis-23843	87	12	of	of	ADP
fcis-23843	87	13	c	c	NOUN
fcis-23843	87	14	values	value	NOUN
fcis-23843	87	15	,	,	PUNCT
fcis-23843	87	16	with	with	ADP
fcis-23843	87	17	the	the	DET
fcis-23843	87	18	eventual	eventual	ADJ
fcis-23843	87	19	selection	selection	NOUN
fcis-23843	87	20	of	of	ADP
fcis-23843	87	21	c	c	NOUN
fcis-23843	87	22	=	=	SYM
fcis-23843	87	23	1.0	1.0	NUM
fcis-23843	87	24	based	base	VERB
fcis-23843	87	25	on	on	ADP
fcis-23843	87	26	the	the	DET
fcis-23843	87	27	best	good	ADJ
fcis-23843	87	28	performance	performance	NOUN
fcis-23843	87	29	balance	balance	NOUN
fcis-23843	87	30	on	on	ADP
fcis-23843	87	31	the	the	DET
fcis-23843	87	32	validations	validation	NOUN
fcis-23843	87	33	set	set	VERB
fcis-23843	87	34	.	.	PUNCT
fcis-23843	88	1	the	the	DET
fcis-23843	88	2	selection	selection	NOUN
fcis-23843	88	3	of	of	ADP
fcis-23843	88	4	rbf	rbf	PROPN
fcis-23843	88	5	is	be	AUX
fcis-23843	88	6	a	a	DET
fcis-23843	88	7	kernel	kernel	NOUN
fcis-23843	88	8	that	that	PRON
fcis-23843	88	9	supports	support	VERB
fcis-23843	88	10	the	the	DET
fcis-23843	88	11	higher	high	ADJ
fcis-23843	88	12	capturing	capturing	NOUN
fcis-23843	88	13	and	and	CCONJ
fcis-23843	88	14	processing	processing	NOUN
fcis-23843	88	15	of	of	ADP
fcis-23843	88	16	more	more	ADV
fcis-23843	88	17	complicated	complicated	ADJ
fcis-23843	88	18	patterns	pattern	NOUN
fcis-23843	88	19	in	in	ADP
fcis-23843	88	20	the	the	DET
fcis-23843	88	21	data	datum	NOUN
fcis-23843	88	22	due	due	ADP
fcis-23843	88	23	to	to	ADP
fcis-23843	88	24	the	the	DET
fcis-23843	88	25	strong	strong	ADJ
fcis-23843	88	26	non	non	ADJ
fcis-23843	88	27	-	-	ADJ
fcis-23843	88	28	linear	linear	ADJ
fcis-23843	88	29	properties	property	NOUN
fcis-23843	88	30	of	of	ADP
fcis-23843	88	31	the	the	DET
fcis-23843	88	32	data	datum	NOUN
fcis-23843	88	33	.	.	PUNCT
fcis-23843	89	1	the	the	DET
fcis-23843	89	2	training	training	NOUN
fcis-23843	89	3	phase	phase	NOUN
fcis-23843	89	4	adopted	adopt	VERB
fcis-23843	89	5	the	the	DET
fcis-23843	89	6	selected	select	VERB
fcis-23843	89	7	relevant	relevant	ADJ
fcis-23843	89	8	features	feature	NOUN
fcis-23843	89	9	from	from	ADP
fcis-23843	89	10	the	the	DET
fcis-23843	89	11	data	datum	NOUN
fcis-23843	89	12	set	set	VERB
fcis-23843	89	13	that	that	PRON
fcis-23843	89	14	would	would	AUX
fcis-23843	89	15	be	be	AUX
fcis-23843	89	16	very	very	ADV
fcis-23843	89	17	important	important	ADJ
fcis-23843	89	18	in	in	ADP
fcis-23843	89	19	the	the	DET
fcis-23843	89	20	prediction	prediction	NOUN
fcis-23843	89	21	of	of	ADP
fcis-23843	89	22	disease	disease	NOUN
fcis-23843	89	23	so	so	SCONJ
fcis-23843	89	24	as	as	SCONJ
fcis-23843	89	25	not	not	PART
fcis-23843	89	26	to	to	PART
fcis-23843	89	27	undermine	undermine	VERB
fcis-23843	89	28	the	the	DET
fcis-23843	89	29	effectiveness	effectiveness	NOUN
fcis-23843	89	30	of	of	ADP
fcis-23843	89	31	the	the	DET
fcis-23843	89	32	model	model	NOUN
fcis-23843	89	33	passed	pass	VERB
fcis-23843	89	34	during	during	ADP
fcis-23843	89	35	the	the	DET
fcis-23843	89	36	training	training	NOUN
fcis-23843	89	37	process	process	NOUN
fcis-23843	89	38	.	.	PUNCT
fcis-23843	90	1	the	the	DET
fcis-23843	90	2	chosen	choose	VERB
fcis-23843	90	3	rbf	rbf	PROPN
fcis-23843	90	4	kernel	kernel	PROPN
fcis-23843	90	5	and	and	CCONJ
fcis-23843	90	6	c=1.0	c=1.0	PROPN
fcis-23843	90	7	parameter	parameter	NOUN
fcis-23843	90	8	was	be	AUX
fcis-23843	90	9	then	then	ADV
fcis-23843	90	10	used	use	VERB
fcis-23843	90	11	to	to	PART
fcis-23843	90	12	train	train	VERB
fcis-23843	90	13	the	the	DET
fcis-23843	90	14	svm	svm	ADJ
fcis-23843	90	15	model	model	NOUN
fcis-23843	90	16	on	on	ADP
fcis-23843	90	17	the	the	DET
fcis-23843	90	18	training	training	NOUN
fcis-23843	90	19	dataset	dataset	NOUN
fcis-23843	90	20	.	.	PUNCT
fcis-23843	91	1	after	after	ADP
fcis-23843	91	2	training	training	NOUN
fcis-23843	91	3	,	,	PUNCT
fcis-23843	91	4	the	the	DET
fcis-23843	91	5	model	model	NOUN
fcis-23843	91	6	was	be	AUX
fcis-23843	91	7	evaluated	evaluate	VERB
fcis-23843	91	8	based	base	VERB
fcis-23843	91	9	on	on	ADP
fcis-23843	91	10	an	an	DET
fcis-23843	91	11	independent	independent	ADJ
fcis-23843	91	12	test	test	NOUN
fcis-23843	91	13	set	set	VERB
fcis-23843	91	14	to	to	PART
fcis-23843	91	15	analyze	analyze	VERB
fcis-23843	91	16	its	its	PRON
fcis-23843	91	17	generalization	generalization	NOUN
fcis-23843	91	18	capacity	capacity	NOUN
fcis-23843	91	19	.	.	PUNCT
fcis-23843	92	1	the	the	DET
fcis-23843	92	2	most	most	ADV
fcis-23843	92	3	significant	significant	ADJ
fcis-23843	92	4	step	step	NOUN
fcis-23843	92	5	was	be	AUX
fcis-23843	92	6	that	that	SCONJ
fcis-23843	92	7	,	,	PUNCT
fcis-23843	92	8	at	at	ADP
fcis-23843	92	9	this	this	DET
fcis-23843	92	10	juncture	juncture	NOUN
fcis-23843	92	11	,	,	PUNCT
fcis-23843	92	12	our	our	PRON
fcis-23843	92	13	svm	svm	ADJ
fcis-23843	92	14	model	model	NOUN
fcis-23843	92	15	became	become	VERB
fcis-23843	92	16	not	not	PART
fcis-23843	92	17	only	only	ADV
fcis-23843	92	18	trained	train	VERB
fcis-23843	92	19	but	but	CCONJ
fcis-23843	92	20	also	also	ADV
fcis-23843	92	21	enabled	enable	VERB
fcis-23843	92	22	for	for	ADP
fcis-23843	92	23	the	the	DET
fcis-23843	92	24	prediction	prediction	NOUN
fcis-23843	92	25	of	of	ADP
fcis-23843	92	26	disease	disease	NOUN
fcis-23843	92	27	conditions	condition	NOUN
fcis-23843	92	28	in	in	ADP
fcis-23843	92	29	new	new	ADJ
fcis-23843	92	30	and	and	CCONJ
fcis-23843	92	31	unseen	unseen	ADJ
fcis-23843	92	32	data	data	NOUN
fcis-23843	92	33	sets	set	NOUN
fcis-23843	92	34	.	.	PUNCT
fcis-23843	93	1	in	in	ADP
fcis-23843	93	2	this	this	DET
fcis-23843	93	3	study	study	NOUN
fcis-23843	93	4	,	,	PUNCT
fcis-23843	93	5	the	the	DET
fcis-23843	93	6	main	main	ADJ
fcis-23843	93	7	model	model	NOUN
fcis-23843	93	8	that	that	PRON
fcis-23843	93	9	was	be	AUX
fcis-23843	93	10	supposed	suppose	VERB
fcis-23843	93	11	to	to	PART
fcis-23843	93	12	be	be	AUX
fcis-23843	93	13	used	use	VERB
fcis-23843	93	14	in	in	ADP
fcis-23843	93	15	handling	handle	VERB
fcis-23843	93	16	the	the	DET
fcis-23843	93	17	epidemiological	epidemiological	ADJ
fcis-23843	93	18	data	data	NOUN
fcis-23843	93	19	was	be	AUX
fcis-23843	93	20	the	the	DET
fcis-23843	93	21	random	random	ADJ
fcis-23843	93	22	forest	forest	NOUN
fcis-23843	93	23	model	model	NOUN
fcis-23843	93	24	,	,	PUNCT
fcis-23843	93	25	which	which	PRON
fcis-23843	93	26	can	can	AUX
fcis-23843	93	27	handle	handle	VERB
fcis-23843	93	28	large	large	ADJ
fcis-23843	93	29	-	-	PUNCT
fcis-23843	93	30	size	size	NOUN
fcis-23843	93	31	procedures	procedure	NOUN
fcis-23843	93	32	of	of	ADP
fcis-23843	93	33	data	datum	NOUN
fcis-23843	93	34	,	,	PUNCT
fcis-23843	93	35	manage	manage	VERB
fcis-23843	93	36	large	large	ADJ
fcis-23843	93	37	data	datum	NOUN
fcis-23843	93	38	sets	set	NOUN
fcis-23843	93	39	,	,	PUNCT
fcis-23843	93	40	and	and	CCONJ
fcis-23843	93	41	handle	handle	VERB
fcis-23843	93	42	high	high	ADJ
fcis-23843	93	43	-	-	PUNCT
fcis-23843	93	44	dimensional	dimensional	ADJ
fcis-23843	93	45	data	datum	NOUN
fcis-23843	93	46	.	.	PUNCT
fcis-23843	94	1	at	at	ADP
fcis-23843	94	2	this	this	DET
fcis-23843	94	3	stage	stage	NOUN
fcis-23843	94	4	,	,	PUNCT
fcis-23843	94	5	the	the	DET
fcis-23843	94	6	most	most	ADV
fcis-23843	94	7	concentrated	concentrated	ADJ
fcis-23843	94	8	number	number	NOUN
fcis-23843	94	9	of	of	ADP
fcis-23843	94	10	trees	tree	NOUN
fcis-23843	94	11	(	(	PUNCT
fcis-23843	94	12	n_estimators	n_estimator	NOUN
fcis-23843	94	13	)	)	PUNCT
fcis-23843	94	14	and	and	CCONJ
fcis-23843	94	15	the	the	DET
fcis-23843	94	16	highest	high	ADJ
fcis-23843	94	17	number	number	NOUN
fcis-23843	94	18	of	of	ADP
fcis-23843	94	19	features	feature	NOUN
fcis-23843	94	20	taken	take	VERB
fcis-23843	94	21	into	into	ADP
fcis-23843	94	22	consideration	consideration	NOUN
fcis-23843	94	23	at	at	ADP
fcis-23843	94	24	each	each	DET
fcis-23843	94	25	split	split	NOUN
fcis-23843	94	26	(	(	PUNCT
fcis-23843	94	27	max_features	max_feature	NOUN
fcis-23843	94	28	)	)	PUNCT
fcis-23843	94	29	were	be	AUX
fcis-23843	94	30	decided	decide	VERB
fcis-23843	94	31	.	.	PUNCT
fcis-23843	95	1	through	through	ADP
fcis-23843	95	2	several	several	ADJ
fcis-23843	95	3	cross	cros	NOUN
fcis-23843	95	4	-	-	NOUN
fcis-23843	95	5	validations	validation	NOUN
fcis-23843	95	6	for	for	ADP
fcis-23843	95	7	testing	test	VERB
fcis-23843	95	8	tree	tree	NOUN
fcis-23843	95	9	numbers	number	NOUN
fcis-23843	95	10	from	from	ADP
fcis-23843	95	11	50	50	NUM
fcis-23843	95	12	to	to	ADP
fcis-23843	95	13	500	500	NUM
fcis-23843	95	14	,	,	PUNCT
fcis-23843	95	15	we	we	PRON
fcis-23843	95	16	settled	settle	VERB
fcis-23843	95	17	on	on	ADP
fcis-23843	95	18	200	200	NUM
fcis-23843	95	19	trees	tree	NOUN
fcis-23843	95	20	because	because	SCONJ
fcis-23843	95	21	the	the	DET
fcis-23843	95	22	configuration	configuration	NOUN
fcis-23843	95	23	shows	show	VERB
fcis-23843	95	24	better	well	ADJ
fcis-23843	95	25	accuracy	accuracy	NOUN
fcis-23843	95	26	and	and	CCONJ
fcis-23843	95	27	stability	stability	NOUN
fcis-23843	95	28	with	with	ADP
fcis-23843	95	29	that	that	DET
fcis-23843	95	30	number	number	NOUN
fcis-23843	95	31	.	.	PUNCT
fcis-23843	96	1	we	we	PRON
fcis-23843	96	2	set	set	VERB
fcis-23843	96	3	the	the	DET
fcis-23843	96	4	max_features	max_feature	NOUN
fcis-23843	96	5	to	to	ADP
fcis-23843	96	6	4	4	NUM
fcis-23843	96	7	because	because	SCONJ
fcis-23843	96	8	it	it	PRON
fcis-23843	96	9	is	be	AUX
fcis-23843	96	10	found	find	VERB
fcis-23843	96	11	to	to	PART
fcis-23843	96	12	be	be	AUX
fcis-23843	96	13	the	the	DET
fcis-23843	96	14	square	square	ADJ
fcis-23843	96	15	root	root	NOUN
fcis-23843	96	16	of	of	ADP
fcis-23843	96	17	the	the	DET
fcis-23843	96	18	number	number	NOUN
fcis-23843	96	19	of	of	ADP
fcis-23843	96	20	total	total	ADJ
fcis-23843	96	21	features	feature	NOUN
fcis-23843	96	22	,	,	PUNCT
fcis-23843	96	23	setting	set	VERB
fcis-23843	96	24	a	a	DET
fcis-23843	96	25	higher	high	ADJ
fcis-23843	96	26	number	number	NOUN
fcis-23843	96	27	might	might	AUX
fcis-23843	96	28	cause	cause	VERB
fcis-23843	96	29	the	the	DET
fcis-23843	96	30	trees	tree	NOUN
fcis-23843	96	31	to	to	PART
fcis-23843	96	32	be	be	AUX
fcis-23843	96	33	too	too	ADV
fcis-23843	96	34	similar	similar	ADJ
fcis-23843	96	35	;	;	PUNCT
fcis-23843	96	36	therefore	therefore	ADV
fcis-23843	96	37	,	,	PUNCT
fcis-23843	96	38	such	such	ADJ
fcis-23843	96	39	diversification	diversification	NOUN
fcis-23843	96	40	and	and	CCONJ
fcis-23843	96	41	independence	independence	NOUN
fcis-23843	96	42	among	among	ADP
fcis-23843	96	43	the	the	DET
fcis-23843	96	44	trees	tree	NOUN
fcis-23843	96	45	will	will	AUX
fcis-23843	96	46	maximize	maximize	VERB
fcis-23843	96	47	the	the	DET
fcis-23843	96	48	model	model	NOUN
fcis-23843	96	49	's	's	PART
fcis-23843	96	50	performance	performance	NOUN
fcis-23843	96	51	.	.	PUNCT
fcis-23843	97	1	the	the	DET
fcis-23843	97	2	first	first	ADJ
fcis-23843	97	3	stage	stage	NOUN
fcis-23843	97	4	of	of	ADP
fcis-23843	97	5	training	training	NOUN
fcis-23843	97	6	for	for	ADP
fcis-23843	97	7	each	each	DET
fcis-23843	97	8	decision	decision	NOUN
fcis-23843	97	9	tree	tree	NOUN
fcis-23843	97	10	involves	involve	VERB
fcis-23843	97	11	creating	create	VERB
fcis-23843	97	12	an	an	DET
fcis-23843	97	13	independent	independent	ADJ
fcis-23843	97	14	training	training	NOUN
fcis-23843	97	15	subset	subset	NOUN
fcis-23843	97	16	from	from	ADP
fcis-23843	97	17	the	the	DET
fcis-23843	97	18	original	original	ADJ
fcis-23843	97	19	dataset	dataset	NOUN
fcis-23843	97	20	by	by	ADP
fcis-23843	97	21	applying	apply	VERB
fcis-23843	97	22	bootstrap	bootstrap	NOUN
fcis-23843	97	23	sampling	sampling	NOUN
fcis-23843	97	24	.	.	PUNCT
fcis-23843	98	1	that	that	PRON
fcis-23843	98	2	is	is	AUX
fcis-23843	98	3	,	,	PUNCT
fcis-23843	98	4	cost	cost	NOUN
fcis-23843	98	5	training	training	NOUN
fcis-23843	98	6	was	be	AUX
fcis-23843	98	7	done	do	VERB
fcis-23843	98	8	independently	independently	ADV
fcis-23843	98	9	within	within	ADP
fcis-23843	98	10	each	each	DET
fcis-23843	98	11	subset	subset	NOUN
fcis-23843	98	12	,	,	PUNCT
fcis-23843	98	13	and	and	CCONJ
fcis-23843	98	14	at	at	ADP
fcis-23843	98	15	each	each	DET
fcis-23843	98	16	split	split	NOUN
fcis-23843	98	17	,	,	PUNCT
fcis-23843	98	18	only	only	ADV
fcis-23843	98	19	a	a	DET
fcis-23843	98	20	randomly	randomly	ADV
fcis-23843	98	21	selected	select	VERB
fcis-23843	98	22	number	number	NOUN
fcis-23843	98	23	of	of	ADP
fcis-23843	98	24	features	feature	NOUN
fcis-23843	98	25	was	be	AUX
fcis-23843	98	26	considered	consider	VERB
fcis-23843	98	27	to	to	PART
fcis-23843	98	28	decrease	decrease	VERB
fcis-23843	98	29	the	the	DET
fcis-23843	98	30	bias	bias	NOUN
fcis-23843	98	31	and	and	CCONJ
fcis-23843	98	32	thereby	thereby	ADV
fcis-23843	98	33	increase	increase	VERB
fcis-23843	98	34	the	the	DET
fcis-23843	98	35	generalization	generalization	NOUN
fcis-23843	98	36	of	of	ADP
fcis-23843	98	37	the	the	DET
fcis-23843	98	38	model	model	NOUN
fcis-23843	98	39	.	.	PUNCT
fcis-23843	99	1	predictions	prediction	NOUN
fcis-23843	99	2	were	be	AUX
fcis-23843	99	3	then	then	ADV
fcis-23843	99	4	made	make	VERB
fcis-23843	99	5	from	from	ADP
fcis-23843	99	6	all	all	DET
fcis-23843	99	7	the	the	DET
fcis-23843	99	8	trees	tree	NOUN
fcis-23843	99	9	,	,	PUNCT
fcis-23843	99	10	with	with	ADP
fcis-23843	99	11	their	their	PRON
fcis-23843	99	12	voting	voting	NOUN
fcis-23843	99	13	mechanisms	mechanism	NOUN
fcis-23843	99	14	giving	give	VERB
fcis-23843	99	15	the	the	DET
fcis-23843	99	16	final	final	ADJ
fcis-23843	99	17	model	model	NOUN
fcis-23843	99	18	prediction	prediction	NOUN
fcis-23843	99	19	.	.	PUNCT
fcis-23843	100	1	the	the	DET
fcis-23843	100	2	default	default	NOUN
fcis-23843	100	3	aggregations	aggregation	NOUN
fcis-23843	100	4	of	of	ADP
fcis-23843	100	5	the	the	DET
fcis-23843	100	6	random	random	ADJ
fcis-23843	100	7	forest	forest	NOUN
fcis-23843	100	8	algorithm	algorithm	NOUN
fcis-23843	100	9	,	,	PUNCT
fcis-23843	100	10	meanwhile	meanwhile	ADV
fcis-23843	100	11	,	,	PUNCT
fcis-23843	100	12	sufficiently	sufficiently	ADV
fcis-23843	100	13	lowered	lower	VERB
fcis-23843	100	14	the	the	DET
fcis-23843	100	15	model	model	NOUN
fcis-23843	100	16	variance	variance	NOUN
fcis-23843	100	17	,	,	PUNCT
fcis-23843	100	18	and	and	CCONJ
fcis-23843	100	19	the	the	DET
fcis-23843	100	20	general	general	ADJ
fcis-23843	100	21	robustness	robustness	NOUN
fcis-23843	100	22	of	of	ADP
fcis-23843	100	23	prediction	prediction	NOUN
fcis-23843	100	24	performance	performance	NOUN
fcis-23843	100	25	under	under	ADP
fcis-23843	100	26	various	various	ADJ
fcis-23843	100	27	datasets	dataset	NOUN
fcis-23843	100	28	was	be	AUX
fcis-23843	100	29	retained	retain	VERB
fcis-23843	100	30	.	.	PUNCT
fcis-23843	101	1	such	such	ADJ
fcis-23843	101	2	detailed	detailed	ADJ
fcis-23843	101	3	parameter	parameter	NOUN
fcis-23843	101	4	choices	choice	NOUN
fcis-23843	101	5	and	and	CCONJ
fcis-23843	101	6	training	training	NOUN
fcis-23843	101	7	protocols	protocol	NOUN
fcis-23843	101	8	were	be	AUX
fcis-23843	101	9	designed	design	VERB
fcis-23843	101	10	to	to	PART
fcis-23843	101	11	ensure	ensure	VERB
fcis-23843	101	12	that	that	SCONJ
fcis-23843	101	13	the	the	DET
fcis-23843	101	14	selected	select	VERB
fcis-23843	101	15	26	26	NUM
fcis-23843	101	16	machine	machine	NOUN
fcis-23843	101	17	learning	learning	NOUN
fcis-23843	101	18	models	model	NOUN
fcis-23843	101	19	were	be	AUX
fcis-23843	101	20	appropriate	appropriate	ADJ
fcis-23843	101	21	enough	enough	ADV
fcis-23843	101	22	for	for	ADP
fcis-23843	101	23	converting	convert	VERB
fcis-23843	101	24	epidemiological	epidemiological	ADJ
fcis-23843	101	25	data	datum	NOUN
fcis-23843	101	26	into	into	ADP
fcis-23843	101	27	informative	informative	ADJ
fcis-23843	101	28	features	feature	NOUN
fcis-23843	101	29	to	to	PART
fcis-23843	101	30	enhance	enhance	VERB
fcis-23843	101	31	the	the	DET
fcis-23843	101	32	prediction	prediction	NOUN
fcis-23843	101	33	and	and	CCONJ
fcis-23843	101	34	classification	classification	NOUN
fcis-23843	101	35	of	of	ADP
fcis-23843	101	36	diseases	disease	NOUN
fcis-23843	101	37	.	.	PUNCT
fcis-23843	102	1	with	with	ADP
fcis-23843	102	2	such	such	DET
fcis-23843	102	3	a	a	DET
fcis-23843	102	4	carefully	carefully	ADV
fcis-23843	102	5	designed	design	VERB
fcis-23843	102	6	modeling	modeling	NOUN
fcis-23843	102	7	implementation	implementation	NOUN
fcis-23843	102	8	strategy	strategy	NOUN
fcis-23843	102	9	,	,	PUNCT
fcis-23843	102	10	the	the	DET
fcis-23843	102	11	research	research	NOUN
fcis-23843	102	12	will	will	AUX
fcis-23843	102	13	carry	carry	VERB
fcis-23843	102	14	scientific	scientific	ADJ
fcis-23843	102	15	rigor	rigor	NOUN
fcis-23843	102	16	and	and	CCONJ
fcis-23843	102	17	practical	practical	ADJ
fcis-23843	102	18	value	value	NOUN
fcis-23843	102	19	[	[	X
fcis-23843	102	20	6	6	NUM
fcis-23843	102	21	]	]	PUNCT
fcis-23843	102	22	.	.	PUNCT
fcis-23843	103	1	3.4	3.4	NUM
fcis-23843	103	2	.	.	PUNCT
fcis-23843	103	3	validation	validation	NOUN
fcis-23843	103	4	and	and	CCONJ
fcis-23843	103	5	testing	testing	NOUN
fcis-23843	103	6	we	we	PRON
fcis-23843	103	7	have	have	AUX
fcis-23843	103	8	therefore	therefore	ADV
fcis-23843	103	9	set	set	VERB
fcis-23843	103	10	up	up	ADP
fcis-23843	103	11	a	a	DET
fcis-23843	103	12	model	model	NOUN
fcis-23843	103	13	validation	validation	NOUN
fcis-23843	103	14	and	and	CCONJ
fcis-23843	103	15	testing	testing	NOUN
fcis-23843	103	16	process	process	NOUN
fcis-23843	103	17	to	to	PART
fcis-23843	103	18	assure	assure	VERB
fcis-23843	103	19	that	that	SCONJ
fcis-23843	103	20	our	our	PRON
fcis-23843	103	21	selected	select	VERB
fcis-23843	103	22	models	model	NOUN
fcis-23843	103	23	,	,	PUNCT
fcis-23843	103	24	k	k	X
fcis-23843	103	25	-	-	PUNCT
fcis-23843	103	26	nearest	near	ADJ
fcis-23843	103	27	neighbors	neighbor	NOUN
fcis-23843	103	28	and	and	CCONJ
fcis-23843	103	29	support	support	VERB
fcis-23843	103	30	vector	vector	NOUN
fcis-23843	103	31	machine	machine	NOUN
fcis-23843	103	32	,	,	PUNCT
fcis-23843	103	33	can	can	AUX
fcis-23843	103	34	handle	handle	VERB
fcis-23843	103	35	the	the	DET
fcis-23843	103	36	challenges	challenge	NOUN
fcis-23843	103	37	of	of	ADP
fcis-23843	103	38	epidemiological	epidemiological	ADJ
fcis-23843	103	39	data	datum	NOUN
fcis-23843	103	40	.	.	PUNCT
fcis-23843	104	1	the	the	DET
fcis-23843	104	2	above	above	ADJ
fcis-23843	104	3	discussion	discussion	NOUN
fcis-23843	104	4	also	also	ADV
fcis-23843	104	5	involved	involve	VERB
fcis-23843	104	6	several	several	ADJ
fcis-23843	104	7	cross	cros	NOUN
fcis-23843	104	8	-	-	NOUN
fcis-23843	104	9	validations	validation	NOUN
fcis-23843	104	10	with	with	ADP
fcis-23843	104	11	a	a	DET
fcis-23843	104	12	real	real	ADJ
fcis-23843	104	13	epidemiological	epidemiological	ADJ
fcis-23843	104	14	dataset	dataset	NOUN
fcis-23843	104	15	and	and	CCONJ
fcis-23843	104	16	performance	performance	NOUN
fcis-23843	104	17	estimation	estimation	NOUN
fcis-23843	104	18	on	on	ADP
fcis-23843	104	19	independent	independent	ADJ
fcis-23843	104	20	test	test	NOUN
fcis-23843	104	21	data	datum	NOUN
fcis-23843	104	22	to	to	PART
fcis-23843	104	23	check	check	VERB
fcis-23843	104	24	the	the	DET
fcis-23843	104	25	accuracy	accuracy	NOUN
fcis-23843	104	26	,	,	PUNCT
fcis-23843	104	27	stability	stability	NOUN
fcis-23843	104	28	,	,	PUNCT
fcis-23843	104	29	and	and	CCONJ
fcis-23843	104	30	generalization	generalization	NOUN
fcis-23843	104	31	ability	ability	NOUN
fcis-23843	104	32	of	of	ADP
fcis-23843	104	33	the	the	DET
fcis-23843	104	34	models	model	NOUN
fcis-23843	104	35	.	.	PUNCT
fcis-23843	105	1	suppose	suppose	VERB
fcis-23843	105	2	we	we	PRON
fcis-23843	105	3	had	have	VERB
fcis-23843	105	4	a	a	DET
fcis-23843	105	5	training	training	NOUN
fcis-23843	105	6	set	set	NOUN
fcis-23843	105	7	whose	whose	DET
fcis-23843	105	8	sample	sample	NOUN
fcis-23843	105	9	number	number	NOUN
fcis-23843	105	10	is	be	AUX
fcis-23843	105	11	thousands	thousand	NOUN
fcis-23843	105	12	,	,	PUNCT
fcis-23843	105	13	each	each	DET
fcis-23843	105	14	one	one	NUM
fcis-23843	105	15	related	relate	VERB
fcis-23843	105	16	to	to	ADP
fcis-23843	105	17	some	some	DET
fcis-23843	105	18	features	feature	NOUN
fcis-23843	105	19	of	of	ADP
fcis-23843	105	20	a	a	DET
fcis-23843	105	21	particular	particular	ADJ
fcis-23843	105	22	disease	disease	NOUN
fcis-23843	105	23	and	and	CCONJ
fcis-23843	105	24	finally	finally	ADV
fcis-23843	105	25	to	to	ADP
fcis-23843	105	26	a	a	DET
fcis-23843	105	27	class	class	NOUN
fcis-23843	105	28	label	label	NOUN
fcis-23843	105	29	where	where	SCONJ
fcis-23843	105	30	the	the	DET
fcis-23843	105	31	sickness	sickness	NOUN
fcis-23843	105	32	appears	appear	VERB
fcis-23843	105	33	or	or	CCONJ
fcis-23843	105	34	not	not	PART
fcis-23843	105	35	.	.	PUNCT
fcis-23843	106	1	we	we	PRON
fcis-23843	106	2	randomly	randomly	ADV
fcis-23843	106	3	chose	choose	VERB
fcis-23843	106	4	70	70	NUM
fcis-23843	106	5	%	%	NOUN
fcis-23843	106	6	of	of	ADP
fcis-23843	106	7	the	the	DET
fcis-23843	106	8	data	datum	NOUN
fcis-23843	106	9	as	as	ADP
fcis-23843	106	10	training	training	NOUN
fcis-23843	106	11	data	datum	NOUN
fcis-23843	106	12	and	and	CCONJ
fcis-23843	106	13	then	then	ADV
fcis-23843	106	14	worked	work	VERB
fcis-23843	106	15	on	on	ADP
fcis-23843	106	16	the	the	DET
fcis-23843	106	17	remaining	remain	VERB
fcis-23843	106	18	30	30	NUM
fcis-23843	106	19	%	%	NOUN
fcis-23843	106	20	as	as	ADP
fcis-23843	106	21	testing	test	VERB
fcis-23843	106	22	data	datum	NOUN
fcis-23843	106	23	.	.	PUNCT
fcis-23843	107	1	some	some	DET
fcis-23843	107	2	examples	example	NOUN
fcis-23843	107	3	of	of	ADP
fcis-23843	107	4	testing	testing	NOUN
fcis-23843	107	5	data	datum	NOUN
fcis-23843	107	6	are	be	AUX
fcis-23843	107	7	provided	provide	VERB
fcis-23843	107	8	in	in	ADP
fcis-23843	107	9	<	<	NOUN
fcis-23843	107	10	table	table	NOUN
fcis-23843	107	11	1	1	NUM
fcis-23843	107	12	>	>	PUNCT
fcis-23843	107	13	:	:	PUNCT
fcis-23843	107	14	table	table	NOUN
fcis-23843	107	15	1	1	NUM
fcis-23843	107	16	.	.	PUNCT
fcis-23843	108	1	sample	sample	NOUN
fcis-23843	108	2	of	of	ADP
fcis-23843	108	3	test	test	NOUN
fcis-23843	108	4	dataset	dataset	VERB
fcis-23843	108	5	i	i	PROPN
fcis-23843	108	6	d	d	PROPN
fcis-23843	108	7	age	age	NOUN
fcis-23843	108	8	gender	gender	NOUN
fcis-23843	108	9	symptom	symptom	NOUN
fcis-23843	108	10	1	1	NUM
fcis-23843	108	11	symptom	symptom	NOUN
fcis-23843	108	12	2	2	NUM
fcis-23843	108	13	symptom	symptom	NOUN
fcis-23843	108	14	3	3	NUM
fcis-23843	108	15	disease	disease	NOUN
fcis-23843	108	16	presence	presence	NOUN
fcis-23843	108	17	1	1	NUM
fcis-23843	108	18	28	28	NUM
fcis-23843	108	19	male	male	NOUN
fcis-23843	109	1	yes	yes	INTJ
fcis-23843	109	2	no	no	INTJ
fcis-23843	110	1	yes	yes	INTJ
fcis-23843	111	1	yes	yes	INTJ
fcis-23843	111	2	2	2	NUM
fcis-23843	111	3	34	34	NUM
fcis-23843	111	4	female	female	NOUN
fcis-23843	112	1	no	no	INTJ
fcis-23843	113	1	yes	yes	INTJ
fcis-23843	114	1	no	no	INTJ
fcis-23843	114	2	no	no	DET
fcis-23843	114	3	3	3	NUM
fcis-23843	114	4	45	45	NUM
fcis-23843	114	5	female	female	NOUN
fcis-23843	115	1	yes	yes	INTJ
fcis-23843	116	1	yes	yes	INTJ
fcis-23843	117	1	yes	yes	INTJ
fcis-23843	117	2	yes	yes	INTJ
fcis-23843	117	3	4	4	NUM
fcis-23843	117	4	52	52	NUM
fcis-23843	117	5	male	male	NOUN
fcis-23843	118	1	no	no	INTJ
fcis-23843	118	2	no	no	INTJ
fcis-23843	118	3	no	no	INTJ
fcis-23843	118	4	no	no	DET
fcis-23843	118	5	5	5	NUM
fcis-23843	118	6	37	37	NUM
fcis-23843	118	7	female	female	NOUN
fcis-23843	119	1	yes	yes	INTJ
fcis-23843	120	1	no	no	INTJ
fcis-23843	121	1	yes	yes	INTJ
fcis-23843	122	1	yes	yes	INTJ
fcis-23843	122	2	1	1	X
fcis-23843	122	3	.	.	X
fcis-23843	123	1	cross	cross	NOUN
fcis-23843	123	2	-	-	NOUN
fcis-23843	123	3	validation	validation	NOUN
fcis-23843	123	4	:	:	PUNCT
fcis-23843	123	5	the	the	DET
fcis-23843	123	6	performance	performance	NOUN
fcis-23843	123	7	of	of	ADP
fcis-23843	123	8	each	each	DET
fcis-23843	123	9	method	method	NOUN
fcis-23843	123	10	is	be	AUX
fcis-23843	123	11	estimated	estimate	VERB
fcis-23843	123	12	using	use	VERB
fcis-23843	123	13	10	10	NUM
fcis-23843	123	14	-	-	ADJ
fcis-23843	123	15	fold	fold	ADJ
fcis-23843	123	16	cross	cross	NOUN
fcis-23843	123	17	-	-	NOUN
fcis-23843	123	18	validation	validation	NOUN
fcis-23843	123	19	.	.	PUNCT
fcis-23843	124	1	this	this	DET
fcis-23843	124	2	way	way	NOUN
fcis-23843	124	3	,	,	PUNCT
fcis-23843	124	4	we	we	PRON
fcis-23843	124	5	ensure	ensure	VERB
fcis-23843	124	6	that	that	SCONJ
fcis-23843	124	7	the	the	DET
fcis-23843	124	8	effect	effect	NOUN
fcis-23843	124	9	of	of	ADP
fcis-23843	124	10	anomalies	anomaly	NOUN
fcis-23843	124	11	remains	remain	VERB
fcis-23843	124	12	minimal	minimal	ADJ
fcis-23843	124	13	and	and	CCONJ
fcis-23843	124	14	that	that	SCONJ
fcis-23843	124	15	models	model	NOUN
fcis-23843	124	16	perform	perform	VERB
fcis-23843	124	17	representatively	representatively	ADV
fcis-23843	124	18	on	on	ADP
fcis-23843	124	19	unseen	unseen	ADJ
fcis-23843	124	20	data	datum	NOUN
fcis-23843	124	21	.	.	PUNCT
fcis-23843	125	1	at	at	ADP
fcis-23843	125	2	every	every	DET
fcis-23843	125	3	fold	fold	NOUN
fcis-23843	125	4	of	of	ADP
fcis-23843	125	5	the	the	DET
fcis-23843	125	6	cross	cross	NOUN
fcis-23843	125	7	-	-	NOUN
fcis-23843	125	8	validation	validation	ADJ
fcis-23843	125	9	,	,	PUNCT
fcis-23843	125	10	10	10	NUM
fcis-23843	125	11	%	%	NOUN
fcis-23843	125	12	of	of	ADP
fcis-23843	125	13	the	the	DET
fcis-23843	125	14	training	training	NOUN
fcis-23843	125	15	set	set	NOUN
fcis-23843	125	16	was	be	AUX
fcis-23843	125	17	sampled	sample	VERB
fcis-23843	125	18	randomly	randomly	ADV
fcis-23843	125	19	to	to	PART
fcis-23843	125	20	be	be	AUX
fcis-23843	125	21	used	use	VERB
fcis-23843	125	22	as	as	ADP
fcis-23843	125	23	the	the	DET
fcis-23843	125	24	validation	validation	NOUN
fcis-23843	125	25	set	set	NOUN
fcis-23843	125	26	,	,	PUNCT
fcis-23843	125	27	and	and	CCONJ
fcis-23843	125	28	the	the	DET
fcis-23843	125	29	other	other	ADJ
fcis-23843	125	30	90	90	NUM
fcis-23843	125	31	%	%	NOUN
fcis-23843	125	32	was	be	AUX
fcis-23843	125	33	used	use	VERB
fcis-23843	125	34	in	in	ADP
fcis-23843	125	35	training	train	VERB
fcis-23843	125	36	the	the	DET
fcis-23843	125	37	model	model	NOUN
fcis-23843	126	1	[	[	X
fcis-23843	126	2	7	7	NUM
fcis-23843	126	3	]	]	SYM
fcis-23843	126	4	.	.	PUNCT
fcis-23843	127	1	2	2	X
fcis-23843	127	2	.	.	X
fcis-23843	127	3	independent	independent	ADJ
fcis-23843	127	4	test	test	NOUN
fcis-23843	127	5	set	set	VERB
fcis-23843	127	6	evaluation	evaluation	NOUN
fcis-23843	127	7	:	:	PUNCT
fcis-23843	127	8	following	follow	VERB
fcis-23843	127	9	training	training	NOUN
fcis-23843	127	10	for	for	ADP
fcis-23843	127	11	all	all	DET
fcis-23843	127	12	models	model	NOUN
fcis-23843	127	13	,	,	PUNCT
fcis-23843	127	14	we	we	PRON
fcis-23843	127	15	evaluated	evaluate	VERB
fcis-23843	127	16	the	the	DET
fcis-23843	127	17	performance	performance	NOUN
fcis-23843	127	18	using	use	VERB
fcis-23843	127	19	an	an	DET
fcis-23843	127	20	independent	independent	ADJ
fcis-23843	127	21	test	test	NOUN
fcis-23843	127	22	set	set	VERB
fcis-23843	127	23	with	with	ADP
fcis-23843	127	24	an	an	DET
fcis-23843	127	25	accuracy	accuracy	NOUN
fcis-23843	127	26	,	,	PUNCT
fcis-23843	127	27	recall	recall	NOUN
fcis-23843	127	28	,	,	PUNCT
fcis-23843	127	29	and	and	CCONJ
fcis-23843	127	30	f1	f1	NOUN
fcis-23843	127	31	score	score	NOUN
fcis-23843	127	32	to	to	PART
fcis-23843	127	33	determine	determine	VERB
fcis-23843	127	34	which	which	DET
fcis-23843	127	35	model	model	NOUN
fcis-23843	127	36	was	be	AUX
fcis-23843	127	37	most	most	ADV
fcis-23843	127	38	effective	effective	ADJ
fcis-23843	127	39	in	in	ADP
fcis-23843	127	40	practical	practical	ADJ
fcis-23843	127	41	applications	application	NOUN
fcis-23843	127	42	.	.	PUNCT
fcis-23843	128	1	a	a	DET
fcis-23843	128	2	comparison	comparison	NOUN
fcis-23843	128	3	of	of	ADP
fcis-23843	128	4	performance	performance	NOUN
fcis-23843	128	5	on	on	ADP
fcis-23843	128	6	the	the	DET
fcis-23843	128	7	test	test	NOUN
fcis-23843	128	8	set	set	VERB
fcis-23843	128	9	for	for	ADP
fcis-23843	128	10	the	the	DET
fcis-23843	128	11	three	three	NUM
fcis-23843	128	12	models	model	NOUN
fcis-23843	128	13	is	be	AUX
fcis-23843	128	14	shown	show	VERB
fcis-23843	128	15	in	in	ADP
fcis-23843	128	16	<	<	NOUN
fcis-23843	128	17	table	table	NOUN
fcis-23843	128	18	2	2	NUM
fcis-23843	128	19	>	>	SYM
fcis-23843	128	20	below	below	ADP
fcis-23843	128	21	:	:	PUNCT
fcis-23843	128	22	table	table	NOUN
fcis-23843	128	23	2	2	NUM
fcis-23843	128	24	.	.	PUNCT
fcis-23843	128	25	performance	performance	NOUN
fcis-23843	128	26	comparison	comparison	NOUN
fcis-23843	128	27	model	model	NOUN
fcis-23843	128	28	accuracy	accuracy	NOUN
fcis-23843	128	29	recall	recall	PROPN
fcis-23843	128	30	f1	f1	PROPN
fcis-23843	128	31	score	score	NOUN
fcis-23843	128	32	k	k	NOUN
fcis-23843	128	33	-	-	PUNCT
fcis-23843	128	34	nearest	near	ADJ
fcis-23843	128	35	neighbors	neighbor	NOUN
fcis-23843	128	36	90	90	NUM
fcis-23843	128	37	%	%	NOUN
fcis-23843	128	38	89	89	NUM
fcis-23843	128	39	%	%	NOUN
fcis-23843	128	40	89.5	89.5	NUM
fcis-23843	128	41	%	%	NOUN
fcis-23843	128	42	support	support	NOUN
fcis-23843	128	43	vector	vector	NOUN
fcis-23843	128	44	machine	machine	NOUN
fcis-23843	128	45	92	92	NUM
fcis-23843	128	46	%	%	NOUN
fcis-23843	128	47	91	91	NUM
fcis-23843	128	48	%	%	NOUN
fcis-23843	128	49	91.5	91.5	NUM
fcis-23843	128	50	%	%	NOUN
fcis-23843	128	51	random	random	ADJ
fcis-23843	128	52	forest	forest	NOUN
fcis-23843	128	53	95	95	NUM
fcis-23843	128	54	%	%	NOUN
fcis-23843	128	55	94	94	NUM
fcis-23843	128	56	%	%	NOUN
fcis-23843	128	57	94.5	94.5	NUM
fcis-23843	128	58	%	%	NOUN
fcis-23843	128	59	test	test	NOUN
fcis-23843	128	60	results	result	NOUN
fcis-23843	128	61	demonstrated	demonstrate	VERB
fcis-23843	128	62	that	that	SCONJ
fcis-23843	128	63	the	the	DET
fcis-23843	128	64	random	random	ADJ
fcis-23843	128	65	forest	forest	NOUN
fcis-23843	128	66	outperforms	outperform	VERB
fcis-23843	128	67	all	all	DET
fcis-23843	128	68	other	other	ADJ
fcis-23843	128	69	major	major	ADJ
fcis-23843	128	70	indicators	indicator	NOUN
fcis-23843	128	71	with	with	ADP
fcis-23843	128	72	greater	great	ADJ
fcis-23843	128	73	accuracy	accuracy	NOUN
fcis-23843	128	74	and	and	CCONJ
fcis-23843	128	75	stability	stability	NOUN
fcis-23843	128	76	in	in	ADP
fcis-23843	128	77	handling	handle	VERB
fcis-23843	128	78	epidemiological	epidemiological	ADJ
fcis-23843	128	79	data	datum	NOUN
fcis-23843	128	80	.	.	PUNCT
fcis-23843	129	1	the	the	DET
fcis-23843	129	2	support	support	NOUN
fcis-23843	129	3	vector	vector	NOUN
fcis-23843	129	4	machine	machine	NOUN
fcis-23843	129	5	,	,	PUNCT
fcis-23843	129	6	nonetheless	nonetheless	ADV
fcis-23843	129	7	,	,	PUNCT
fcis-23843	129	8	showed	show	VERB
fcis-23843	129	9	high	high	ADJ
fcis-23843	129	10	performance	performance	NOUN
fcis-23843	129	11	,	,	PUNCT
fcis-23843	129	12	particularly	particularly	ADV
fcis-23843	129	13	for	for	ADP
fcis-23843	129	14	datasets	dataset	NOUN
fcis-23843	129	15	where	where	SCONJ
fcis-23843	129	16	relationships	relationship	NOUN
fcis-23843	129	17	are	be	AUX
fcis-23843	129	18	complicated	complicate	VERB
fcis-23843	129	19	between	between	ADP
fcis-23843	129	20	some	some	DET
fcis-23843	129	21	parameters	parameter	NOUN
fcis-23843	129	22	.	.	PUNCT
fcis-23843	130	1	more	more	ADJ
fcis-23843	130	2	or	or	CCONJ
fcis-23843	130	3	less	less	ADV
fcis-23843	130	4	accurate	accurate	ADJ
fcis-23843	130	5	than	than	ADP
fcis-23843	130	6	the	the	DET
fcis-23843	130	7	other	other	ADJ
fcis-23843	130	8	two	two	NUM
fcis-23843	130	9	models	model	NOUN
fcis-23843	130	10	presented	present	VERB
fcis-23843	130	11	,	,	PUNCT
fcis-23843	130	12	k	k	X
fcis-23843	130	13	-	-	PUNCT
fcis-23843	130	14	nearest	near	ADJ
fcis-23843	130	15	neighbors	neighbor	NOUN
fcis-23843	130	16	are	be	AUX
fcis-23843	130	17	still	still	ADV
fcis-23843	130	18	very	very	ADV
fcis-23843	130	19	reliable	reliable	ADJ
fcis-23843	130	20	,	,	PUNCT
fcis-23843	130	21	especially	especially	ADV
fcis-23843	130	22	for	for	ADP
fcis-23843	130	23	cases	case	NOUN
fcis-23843	130	24	that	that	PRON
fcis-23843	130	25	can	can	AUX
fcis-23843	130	26	be	be	AUX
fcis-23843	130	27	solved	solve	VERB
fcis-23843	130	28	quickly	quickly	ADV
fcis-23843	130	29	.	.	PUNCT
fcis-23843	131	1	we	we	PRON
fcis-23843	131	2	could	could	AUX
fcis-23843	131	3	,	,	PUNCT
fcis-23843	131	4	therefore	therefore	ADV
fcis-23843	131	5	,	,	PUNCT
fcis-23843	131	6	stand	stand	VERB
fcis-23843	131	7	a	a	DET
fcis-23843	131	8	good	good	ADJ
fcis-23843	131	9	chance	chance	NOUN
fcis-23843	131	10	of	of	ADP
fcis-23843	131	11	evaluating	evaluate	VERB
fcis-23843	131	12	and	and	CCONJ
fcis-23843	131	13	selecting	select	VERB
fcis-23843	131	14	models	model	NOUN
fcis-23843	131	15	that	that	PRON
fcis-23843	131	16	could	could	AUX
fcis-23843	131	17	be	be	AUX
fcis-23843	131	18	best	well	ADV
fcis-23843	131	19	used	use	VERB
fcis-23843	131	20	for	for	ADP
fcis-23843	131	21	epidemiological	epidemiological	ADJ
fcis-23843	131	22	data	datum	NOUN
fcis-23843	131	23	analysis	analysis	NOUN
fcis-23843	131	24	to	to	PART
fcis-23843	131	25	ensure	ensure	VERB
fcis-23843	131	26	the	the	DET
fcis-23843	131	27	effectiveness	effectiveness	NOUN
fcis-23843	131	28	and	and	CCONJ
fcis-23843	131	29	correctness	correctness	NOUN
fcis-23843	131	30	of	of	ADP
fcis-23843	131	31	the	the	DET
fcis-23843	131	32	study	study	NOUN
fcis-23843	131	33	.	.	PUNCT
fcis-23843	132	1	these	these	DET
fcis-23843	132	2	results	result	NOUN
fcis-23843	132	3	provide	provide	VERB
fcis-23843	132	4	references	reference	NOUN
fcis-23843	132	5	for	for	ADP
fcis-23843	132	6	the	the	DET
fcis-23843	132	7	future	future	ADJ
fcis-23843	132	8	study	study	NOUN
fcis-23843	132	9	of	of	ADP
fcis-23843	132	10	disease	disease	NOUN
fcis-23843	132	11	predictions	prediction	NOUN
fcis-23843	132	12	.	.	PUNCT
fcis-23843	133	1	4	4	X
fcis-23843	133	2	.	.	X
fcis-23843	133	3	case	case	NOUN
fcis-23843	133	4	studies	study	NOUN
fcis-23843	133	5	and	and	CCONJ
fcis-23843	133	6	applications	application	NOUN
fcis-23843	133	7	4.1	4.1	NUM
fcis-23843	133	8	.	.	PUNCT
fcis-23843	134	1	ai	ai	VERB
fcis-23843	134	2	in	in	ADP
fcis-23843	134	3	disease	disease	NOUN
fcis-23843	134	4	monitoring	monitoring	NOUN
fcis-23843	134	5	:	:	PUNCT
fcis-23843	134	6	a	a	DET
fcis-23843	134	7	case	case	NOUN
fcis-23843	134	8	study	study	NOUN
fcis-23843	134	9	of	of	ADP
fcis-23843	134	10	an	an	DET
fcis-23843	134	11	ai	ai	ADJ
fcis-23843	134	12	-	-	PUNCT
fcis-23843	134	13	powered	powered	ADJ
fcis-23843	134	14	cardiac	cardiac	ADJ
fcis-23843	134	15	monitoring	monitoring	NOUN
fcis-23843	134	16	analysis	analysis	NOUN
fcis-23843	134	17	platform	platform	NOUN
fcis-23843	134	18	figure	figure	NOUN
fcis-23843	134	19	2	2	NUM
fcis-23843	134	20	.	.	PUNCT
fcis-23843	135	1	ai	ai	VERB
fcis-23843	135	2	intelligent	intelligent	ADJ
fcis-23843	135	3	ecg	ecg	PROPN
fcis-23843	135	4	monitoring	monitoring	NOUN
fcis-23843	135	5	and	and	CCONJ
fcis-23843	135	6	analysis	analysis	NOUN
fcis-23843	135	7	platform	platform	NOUN
fcis-23843	135	8	27	27	NUM
fcis-23843	135	9	it	it	PRON
fcis-23843	135	10	is	be	AUX
fcis-23843	135	11	advanced	advanced	ADJ
fcis-23843	135	12	in	in	ADP
fcis-23843	135	13	artificial	artificial	ADJ
fcis-23843	135	14	intelligence	intelligence	NOUN
fcis-23843	135	15	technologies	technology	NOUN
fcis-23843	135	16	,	,	PUNCT
fcis-23843	135	17	especially	especially	ADV
fcis-23843	135	18	in	in	ADP
fcis-23843	135	19	disease	disease	NOUN
fcis-23843	135	20	control	control	NOUN
fcis-23843	135	21	,	,	PUNCT
fcis-23843	135	22	as	as	SCONJ
fcis-23843	135	23	demonstrated	demonstrate	VERB
fcis-23843	135	24	in	in	ADP
fcis-23843	135	25	a	a	DET
fcis-23843	135	26	specific	specific	ADJ
fcis-23843	135	27	application	application	NOUN
fcis-23843	135	28	the	the	DET
fcis-23843	135	29	ai	ai	PROPN
fcis-23843	135	30	etelligent	etelligent	NOUN
fcis-23843	135	31	ecg	ecg	PROPN
fcis-23843	135	32	monitoring	monitoring	NOUN
fcis-23843	135	33	and	and	CCONJ
fcis-23843	135	34	analysis	analysis	NOUN
fcis-23843	135	35	platform	platform	NOUN
fcis-23843	135	36	.	.	PUNCT
fcis-23843	136	1	i	i	PRON
fcis-23843	136	2	and	and	CCONJ
fcis-23843	136	3	advanced	advanced	ADJ
fcis-23843	136	4	-	-	PUNCT
fcis-23843	136	5	algorithm	algorithm	NOUN
fcis-23843	136	6	-uses	-use	NOUN
fcis-23843	136	7	this	this	DET
fcis-23843	136	8	platform	platform	NOUN
fcis-23843	136	9	provides	provide	VERB
fcis-23843	136	10	accurate	accurate	ADJ
fcis-23843	136	11	health	health	NOUN
fcis-23843	136	12	information	information	NOUN
fcis-23843	136	13	for	for	ADP
fcis-23843	136	14	patients	patient	NOUN
fcis-23843	136	15	by	by	ADP
fcis-23843	136	16	analyzing	analyze	VERB
fcis-23843	136	17	electrocardiogram	electrocardiogram	NOUN
fcis-23843	136	18	(	(	PUNCT
fcis-23843	136	19	ecg	ecg	PROPN
fcis-23843	136	20	)	)	PUNCT
fcis-23843	136	21	data	datum	NOUN
fcis-23843	136	22	in	in	ADP
fcis-23843	136	23	real	real	ADJ
fcis-23843	136	24	-	-	PUNCT
fcis-23843	136	25	time	time	NOUN
fcis-23843	136	26	,	,	PUNCT
fcis-23843	136	27	and	and	CCONJ
fcis-23843	136	28	provides	provide	VERB
fcis-23843	136	29	decision	decision	NOUN
fcis-23843	136	30	support	support	NOUN
fcis-23843	136	31	for	for	ADP
fcis-23843	136	32	physicians	physician	NOUN
fcis-23843	136	33	[	[	X
fcis-23843	136	34	8	8	NUM
fcis-23843	136	35	]	]	PUNCT
fcis-23843	136	36	.	.	PUNCT
fcis-23843	137	1	the	the	DET
fcis-23843	137	2	ai	ai	ADJ
fcis-23843	137	3	intelligent	intelligent	ADJ
fcis-23843	137	4	ecg	ecg	PROPN
fcis-23843	137	5	analysis	analysis	NOUN
fcis-23843	137	6	and	and	CCONJ
fcis-23843	137	7	analysis	analysis	NOUN
fcis-23843	137	8	platform	platform	NOUN
fcis-23843	137	9	uses	use	VERB
fcis-23843	137	10	cloud	cloud	NOUN
fcis-23843	137	11	technology	technology	NOUN
fcis-23843	137	12	and	and	CCONJ
fcis-23843	137	13	machine	machine	NOUN
fcis-23843	137	14	learning	learn	VERB
fcis-23843	137	15	algorithms	algorithm	NOUN
fcis-23843	137	16	to	to	PART
fcis-23843	137	17	acquire	acquire	VERB
fcis-23843	137	18	,	,	PUNCT
fcis-23843	137	19	analyze	analyze	VERB
fcis-23843	137	20	,	,	PUNCT
fcis-23843	137	21	and	and	CCONJ
fcis-23843	137	22	interpret	interpret	VERB
fcis-23843	137	23	ecg	ecg	PROPN
fcis-23843	137	24	data	datum	NOUN
fcis-23843	137	25	in	in	ADP
fcis-23843	137	26	real	real	ADJ
fcis-23843	137	27	time	time	NOUN
fcis-23843	137	28	the	the	DET
fcis-23843	137	29	system	system	NOUN
fcis-23843	137	30	works	work	VERB
fcis-23843	137	31	as	as	SCONJ
fcis-23843	137	32	follows	follow	VERB
fcis-23843	137	33	.	.	PUNCT
fcis-23843	138	1	1	1	X
fcis-23843	138	2	.	.	X
fcis-23843	138	3	data	datum	NOUN
fcis-23843	138	4	collection	collection	NOUN
fcis-23843	138	5	:	:	PUNCT
fcis-23843	138	6	patients	patient	NOUN
fcis-23843	138	7	collect	collect	VERB
fcis-23843	138	8	ecg	ecg	PROPN
fcis-23843	138	9	data	datum	NOUN
fcis-23843	138	10	with	with	ADP
fcis-23843	138	11	portable	portable	ADJ
fcis-23843	138	12	monitoring	monitoring	NOUN
fcis-23843	138	13	devices	device	NOUN
fcis-23843	138	14	,	,	PUNCT
fcis-23843	138	15	which	which	PRON
fcis-23843	138	16	are	be	AUX
fcis-23843	138	17	then	then	ADV
fcis-23843	138	18	transmitted	transmit	VERB
fcis-23843	138	19	via	via	ADP
fcis-23843	138	20	a	a	DET
fcis-23843	138	21	wireless	wireless	ADJ
fcis-23843	138	22	network	network	NOUN
fcis-23843	138	23	to	to	ADP
fcis-23843	138	24	an	an	DET
fcis-23843	138	25	ai	ai	NOUN
fcis-23843	138	26	platform	platform	NOUN
fcis-23843	138	27	.	.	PUNCT
fcis-23843	139	1	2	2	X
fcis-23843	139	2	.	.	X
fcis-23843	139	3	data	datum	NOUN
fcis-23843	139	4	transmission	transmission	NOUN
fcis-23843	139	5	:	:	PUNCT
fcis-23843	139	6	the	the	DET
fcis-23843	139	7	data	data	NOUN
fcis-23843	139	8	is	be	AUX
fcis-23843	139	9	automatically	automatically	ADV
fcis-23843	139	10	transferred	transfer	VERB
fcis-23843	139	11	to	to	ADP
fcis-23843	139	12	cloud	cloud	NOUN
fcis-23843	139	13	servers	server	NOUN
fcis-23843	139	14	,	,	PUNCT
fcis-23843	139	15	ensuring	ensure	VERB
fcis-23843	139	16	its	its	PRON
fcis-23843	139	17	timeliness	timeliness	NOUN
fcis-23843	139	18	and	and	CCONJ
fcis-23843	139	19	completeness	completeness	NOUN
fcis-23843	139	20	.	.	PUNCT
fcis-23843	140	1	3	3	X
fcis-23843	140	2	.	.	X
fcis-23843	140	3	ai	ai	VERB
fcis-23843	140	4	analysis	analysis	NOUN
fcis-23843	140	5	:	:	PUNCT
fcis-23843	140	6	ai	ai	VERB
fcis-23843	140	7	models	model	NOUN
fcis-23843	140	8	in	in	ADP
fcis-23843	140	9	the	the	DET
fcis-23843	140	10	cloud	cloud	NOUN
fcis-23843	140	11	platform	platform	NOUN
fcis-23843	140	12	analyze	analyze	NOUN
fcis-23843	140	13	ecg	ecg	PROPN
fcis-23843	140	14	data	datum	NOUN
fcis-23843	140	15	in	in	ADP
fcis-23843	140	16	real	real	ADJ
fcis-23843	140	17	-	-	PUNCT
fcis-23843	140	18	time	time	NOUN
fcis-23843	140	19	,	,	PUNCT
fcis-23843	140	20	detecting	detect	VERB
fcis-23843	140	21	abnormal	abnormal	ADJ
fcis-23843	140	22	signals	signal	NOUN
fcis-23843	140	23	such	such	ADJ
fcis-23843	140	24	as	as	ADP
fcis-23843	140	25	arrhythmias	arrhythmia	NOUN
fcis-23843	140	26	and	and	CCONJ
fcis-23843	140	27	tachycardia	tachycardia	NOUN
fcis-23843	140	28	4	4	NUM
fcis-23843	140	29	.	.	PUNCT
fcis-23843	140	30	report	report	NOUN
fcis-23843	140	31	generation	generation	NOUN
fcis-23843	140	32	:	:	PUNCT
fcis-23843	140	33	after	after	ADP
fcis-23843	140	34	analysis	analysis	NOUN
fcis-23843	140	35	,	,	PUNCT
fcis-23843	140	36	the	the	DET
fcis-23843	140	37	ai	ai	NOUN
fcis-23843	140	38	generates	generate	VERB
fcis-23843	140	39	a	a	DET
fcis-23843	140	40	detailed	detailed	ADJ
fcis-23843	140	41	ecg	ecg	PROPN
fcis-23843	140	42	report	report	NOUN
fcis-23843	140	43	,	,	PUNCT
fcis-23843	140	44	including	include	VERB
fcis-23843	140	45	any	any	DET
fcis-23843	140	46	potential	potential	ADJ
fcis-23843	140	47	abnormalities	abnormality	NOUN
fcis-23843	140	48	and	and	CCONJ
fcis-23843	140	49	health	health	NOUN
fcis-23843	140	50	recommendations	recommendation	NOUN
fcis-23843	140	51	.	.	PUNCT
fcis-23843	141	1	5	5	X
fcis-23843	141	2	.	.	X
fcis-23843	141	3	medical	medical	ADJ
fcis-23843	141	4	decision	decision	NOUN
fcis-23843	141	5	support	support	NOUN
fcis-23843	141	6	:	:	PUNCT
fcis-23843	141	7	physicians	physician	NOUN
fcis-23843	141	8	can	can	AUX
fcis-23843	141	9	access	access	VERB
fcis-23843	141	10	these	these	DET
fcis-23843	141	11	reports	report	NOUN
fcis-23843	141	12	remotely	remotely	ADV
fcis-23843	141	13	,	,	PUNCT
fcis-23843	141	14	helping	help	VERB
fcis-23843	141	15	them	they	PRON
fcis-23843	141	16	quickly	quickly	ADV
fcis-23843	141	17	understand	understand	VERB
fcis-23843	141	18	their	their	PRON
fcis-23843	141	19	patients	patient	NOUN
fcis-23843	141	20	’	’	PART
fcis-23843	141	21	heart	heart	NOUN
fcis-23843	141	22	conditions	condition	NOUN
fcis-23843	141	23	and	and	CCONJ
fcis-23843	141	24	intervene	intervene	VERB
fcis-23843	141	25	if	if	SCONJ
fcis-23843	141	26	necessary	necessary	ADJ
fcis-23843	141	27	.	.	PUNCT
fcis-23843	142	1	6	6	X
fcis-23843	142	2	.	.	X
fcis-23843	142	3	patient	patient	ADJ
fcis-23843	142	4	information	information	NOUN
fcis-23843	142	5	:	:	PUNCT
fcis-23843	142	6	patients	patient	NOUN
fcis-23843	142	7	can	can	AUX
fcis-23843	142	8	use	use	VERB
fcis-23843	142	9	the	the	DET
fcis-23843	142	10	mobile	mobile	ADJ
fcis-23843	142	11	app	app	NOUN
fcis-23843	142	12	to	to	PART
fcis-23843	142	13	view	view	VERB
fcis-23843	142	14	their	their	PRON
fcis-23843	142	15	ecg	ecg	PROPN
fcis-23843	142	16	reports	report	NOUN
fcis-23843	142	17	and	and	CCONJ
fcis-23843	142	18	health	health	NOUN
fcis-23843	142	19	status	status	NOUN
fcis-23843	142	20	and	and	CCONJ
fcis-23843	142	21	to	to	PART
fcis-23843	142	22	receive	receive	VERB
fcis-23843	142	23	advice	advice	NOUN
fcis-23843	142	24	from	from	ADP
fcis-23843	142	25	doctors	doctor	NOUN
fcis-23843	142	26	.	.	PUNCT
fcis-23843	143	1	the	the	DET
fcis-23843	143	2	main	main	ADJ
fcis-23843	143	3	strengths	strength	NOUN
fcis-23843	143	4	of	of	ADP
fcis-23843	143	5	the	the	DET
fcis-23843	143	6	platform	platform	NOUN
fcis-23843	143	7	are	be	AUX
fcis-23843	143	8	its	its	PRON
fcis-23843	143	9	efficient	efficient	ADJ
fcis-23843	143	10	data	datum	NOUN
fcis-23843	143	11	processing	processing	NOUN
fcis-23843	143	12	and	and	CCONJ
fcis-23843	143	13	accurate	accurate	ADJ
fcis-23843	143	14	ai	ai	PROPN
fcis-23843	143	15	analytics	analytic	NOUN
fcis-23843	143	16	.	.	PUNCT
fcis-23843	144	1	ai	ai	VERB
fcis-23843	144	2	algorithms	algorithm	NOUN
fcis-23843	144	3	used	use	VERB
fcis-23843	144	4	include	include	VERB
fcis-23843	144	5	but	but	CCONJ
fcis-23843	144	6	are	be	AUX
fcis-23843	144	7	not	not	PART
fcis-23843	144	8	limited	limit	VERB
fcis-23843	144	9	to	to	ADP
fcis-23843	144	10	,	,	PUNCT
fcis-23843	144	11	neural	neural	ADJ
fcis-23843	144	12	networks	network	NOUN
fcis-23843	144	13	and	and	CCONJ
fcis-23843	144	14	support	support	VERB
fcis-23843	144	15	vector	vector	NOUN
fcis-23843	144	16	machines	machine	NOUN
fcis-23843	144	17	specifically	specifically	ADV
fcis-23843	144	18	trained	train	VERB
fcis-23843	144	19	to	to	PART
fcis-23843	144	20	detect	detect	VERB
fcis-23843	144	21	and	and	CCONJ
fcis-23843	144	22	classify	classify	VERB
fcis-23843	144	23	pattern	pattern	NOUN
fcis-23843	144	24	types	type	NOUN
fcis-23843	144	25	and	and	CCONJ
fcis-23843	144	26	anomalies	anomaly	NOUN
fcis-23843	144	27	in	in	ADP
fcis-23843	144	28	ecg	ecg	PROPN
fcis-23843	144	29	ai	ai	VERB
fcis-23843	144	30	during	during	ADP
fcis-23843	144	31	data	data	NOUN
fcis-23843	144	32	processing	processing	NOUN
fcis-23843	144	33	expansion	expansion	NOUN
fcis-23843	144	34	of	of	ADP
fcis-23843	144	35	the	the	DET
fcis-23843	144	36	qrs	qrs	PROPN
fcis-23843	144	37	complex	complex	NOUN
fcis-23843	144	38	,	,	PUNCT
fcis-23843	144	39	since	since	SCONJ
fcis-23843	144	40	its	its	PRON
fcis-23843	144	41	implementation	implementation	NOUN
fcis-23843	144	42	,	,	PUNCT
fcis-23843	144	43	the	the	DET
fcis-23843	144	44	platform	platform	NOUN
fcis-23843	144	45	has	have	AUX
fcis-23843	144	46	successfully	successfully	ADV
fcis-23843	144	47	diagnosed	diagnose	VERB
fcis-23843	144	48	and	and	CCONJ
fcis-23843	144	49	managed	manage	VERB
fcis-23843	144	50	heart	heart	NOUN
fcis-23843	144	51	failure	failure	NOUN
fcis-23843	144	52	in	in	ADP
fcis-23843	144	53	thousands	thousand	NOUN
fcis-23843	144	54	of	of	ADP
fcis-23843	144	55	patients	patient	NOUN
fcis-23843	144	56	,	,	PUNCT
fcis-23843	144	57	providing	provide	VERB
fcis-23843	144	58	treatments	treatment	NOUN
fcis-23843	144	59	it	it	PRON
fcis-23843	144	60	happens	happen	VERB
fcis-23843	144	61	,	,	PUNCT
fcis-23843	144	62	reducing	reduce	VERB
fcis-23843	144	63	emergency	emergency	NOUN
fcis-23843	144	64	visits	visit	NOUN
fcis-23843	144	65	and	and	CCONJ
fcis-23843	144	66	hospitalizations	hospitalization	NOUN
fcis-23843	144	67	due	due	ADP
fcis-23843	144	68	to	to	ADP
fcis-23843	144	69	heart	heart	NOUN
fcis-23843	144	70	failure	failure	NOUN
fcis-23843	144	71	large	large	ADJ
fcis-23843	144	72	and	and	CCONJ
fcis-23843	144	73	efficient	efficient	ADJ
fcis-23843	144	74	.	.	PUNCT
fcis-23843	145	1	as	as	SCONJ
fcis-23843	145	2	technology	technology	NOUN
fcis-23843	145	3	progresses	progress	NOUN
fcis-23843	145	4	and	and	CCONJ
fcis-23843	145	5	more	more	ADJ
fcis-23843	145	6	data	datum	NOUN
fcis-23843	145	7	is	be	AUX
fcis-23843	145	8	collected	collect	VERB
fcis-23843	145	9	,	,	PUNCT
fcis-23843	145	10	the	the	DET
fcis-23843	145	11	ai	ai	ADJ
fcis-23843	145	12	cardiac	cardiac	ADJ
fcis-23843	145	13	monitoring	monitoring	NOUN
fcis-23843	145	14	system	system	NOUN
fcis-23843	145	15	will	will	AUX
fcis-23843	145	16	continue	continue	VERB
fcis-23843	145	17	to	to	PART
fcis-23843	145	18	refine	refine	VERB
fcis-23843	145	19	its	its	PRON
fcis-23843	145	20	algorithms	algorithm	NOUN
fcis-23843	145	21	to	to	PART
fcis-23843	145	22	improve	improve	VERB
fcis-23843	145	23	the	the	DET
fcis-23843	145	24	accuracy	accuracy	NOUN
fcis-23843	145	25	and	and	CCONJ
fcis-23843	145	26	speed	speed	NOUN
fcis-23843	145	27	of	of	ADP
fcis-23843	145	28	its	its	PRON
fcis-23843	145	29	analysis	analysis	NOUN
fcis-23843	145	30	.	.	PUNCT
fcis-23843	146	1	additionally	additionally	ADV
fcis-23843	146	2	,	,	PUNCT
fcis-23843	146	3	the	the	DET
fcis-23843	146	4	platform	platform	NOUN
fcis-23843	146	5	plans	plan	VERB
fcis-23843	146	6	to	to	PART
fcis-23843	146	7	expand	expand	VERB
fcis-23843	146	8	its	its	PRON
fcis-23843	146	9	monitoring	monitoring	NOUN
fcis-23843	146	10	capabilities	capability	NOUN
fcis-23843	146	11	to	to	PART
fcis-23843	146	12	include	include	VERB
fcis-23843	146	13	other	other	ADJ
fcis-23843	146	14	types	type	NOUN
fcis-23843	146	15	of	of	ADP
fcis-23843	146	16	physiological	physiological	ADJ
fcis-23843	146	17	signal	signal	NOUN
fcis-23843	146	18	assessments	assessment	NOUN
fcis-23843	146	19	such	such	ADJ
fcis-23843	146	20	as	as	ADP
fcis-23843	146	21	blood	blood	NOUN
fcis-23843	146	22	pressure	pressure	NOUN
fcis-23843	146	23	and	and	CCONJ
fcis-23843	146	24	blood	blood	NOUN
fcis-23843	146	25	glucose	glucose	NOUN
fcis-23843	146	26	to	to	PART
fcis-23843	146	27	provide	provide	VERB
fcis-23843	146	28	comprehensive	comprehensive	ADJ
fcis-23843	146	29	health	health	NOUN
fcis-23843	146	30	monitoring	monitoring	NOUN
fcis-23843	146	31	services	service	NOUN
fcis-23843	146	32	.	.	PUNCT
fcis-23843	147	1	these	these	DET
fcis-23843	147	2	case	case	NOUN
fcis-23843	147	3	studies	study	NOUN
fcis-23843	147	4	demonstrate	demonstrate	VERB
fcis-23843	147	5	the	the	DET
fcis-23843	147	6	tremendous	tremendous	ADJ
fcis-23843	147	7	potential	potential	NOUN
fcis-23843	147	8	of	of	ADP
fcis-23843	147	9	ai	ai	NOUN
fcis-23843	147	10	in	in	ADP
fcis-23843	147	11	the	the	DET
fcis-23843	147	12	healthcare	healthcare	NOUN
fcis-23843	147	13	industry	industry	NOUN
fcis-23843	147	14	,	,	PUNCT
fcis-23843	147	15	especially	especially	ADV
fcis-23843	147	16	in	in	ADP
fcis-23843	147	17	disease	disease	NOUN
fcis-23843	147	18	diagnosis	diagnosis	NOUN
fcis-23843	147	19	and	and	CCONJ
fcis-23843	147	20	prevention	prevention	NOUN
fcis-23843	147	21	.	.	PUNCT
fcis-23843	148	1	as	as	SCONJ
fcis-23843	148	2	the	the	DET
fcis-23843	148	3	technology	technology	NOUN
fcis-23843	148	4	continues	continue	VERB
fcis-23843	148	5	to	to	PART
fcis-23843	148	6	evolve	evolve	VERB
fcis-23843	148	7	and	and	CCONJ
fcis-23843	148	8	its	its	PRON
fcis-23843	148	9	applications	application	NOUN
fcis-23843	148	10	expand	expand	VERB
fcis-23843	148	11	,	,	PUNCT
fcis-23843	148	12	ai	ai	VERB
fcis-23843	148	13	is	be	AUX
fcis-23843	148	14	expected	expect	VERB
fcis-23843	148	15	to	to	PART
fcis-23843	148	16	significantly	significantly	ADV
fcis-23843	148	17	raise	raise	VERB
fcis-23843	148	18	public	public	ADJ
fcis-23843	148	19	health	health	NOUN
fcis-23843	148	20	standards	standard	NOUN
fcis-23843	148	21	and	and	CCONJ
fcis-23843	148	22	the	the	DET
fcis-23843	148	23	quality	quality	NOUN
fcis-23843	148	24	of	of	ADP
fcis-23843	148	25	treatment	treatment	NOUN
fcis-23843	148	26	around	around	ADP
fcis-23843	148	27	the	the	DET
fcis-23843	148	28	world	world	NOUN
fcis-23843	148	29	.	.	PUNCT
fcis-23843	149	1	4.2	4.2	NUM
fcis-23843	149	2	.	.	PUNCT
fcis-23843	149	3	ai	ai	VERB
fcis-23843	149	4	in	in	ADP
fcis-23843	149	5	epidemic	epidemic	ADJ
fcis-23843	149	6	detection	detection	NOUN
fcis-23843	149	7	:	:	PUNCT
fcis-23843	149	8	a	a	DET
fcis-23843	149	9	case	case	NOUN
fcis-23843	149	10	study	study	NOUN
fcis-23843	149	11	of	of	ADP
fcis-23843	149	12	covid-19	covid-19	PROPN
fcis-23843	149	13	during	during	ADP
fcis-23843	149	14	the	the	DET
fcis-23843	149	15	covid-19	covid-19	PROPN
fcis-23843	149	16	pandemic	pandemic	NOUN
fcis-23843	149	17	,	,	PUNCT
fcis-23843	149	18	the	the	DET
fcis-23843	149	19	use	use	NOUN
fcis-23843	149	20	of	of	ADP
fcis-23843	149	21	artificial	artificial	ADJ
fcis-23843	149	22	intelligence	intelligence	NOUN
fcis-23843	149	23	(	(	PUNCT
fcis-23843	149	24	ai	ai	NOUN
fcis-23843	149	25	)	)	PUNCT
fcis-23843	149	26	technologies	technology	NOUN
fcis-23843	149	27	provided	provide	VERB
fcis-23843	149	28	critical	critical	ADJ
fcis-23843	149	29	technical	technical	ADJ
fcis-23843	149	30	support	support	NOUN
fcis-23843	149	31	and	and	CCONJ
fcis-23843	149	32	decision	decision	NOUN
fcis-23843	149	33	support	support	NOUN
fcis-23843	149	34	.	.	PUNCT
fcis-23843	150	1	this	this	DET
fcis-23843	150	2	section	section	NOUN
fcis-23843	150	3	,	,	PUNCT
fcis-23843	150	4	along	along	ADP
fcis-23843	150	5	with	with	ADP
fcis-23843	150	6	the	the	DET
fcis-23843	150	7	posted	post	VERB
fcis-23843	150	8	outline	outline	NOUN
fcis-23843	150	9	diagram	diagram	NOUN
fcis-23843	150	10	,	,	PUNCT
fcis-23843	150	11	details	detail	VERB
fcis-23843	150	12	how	how	SCONJ
fcis-23843	150	13	ai	ai	AUX
fcis-23843	150	14	played	play	VERB
fcis-23843	150	15	a	a	DET
fcis-23843	150	16	role	role	NOUN
fcis-23843	150	17	in	in	ADP
fcis-23843	150	18	epidemic	epidemic	NOUN
fcis-23843	150	19	surveillance	surveillance	NOUN
fcis-23843	150	20	and	and	CCONJ
fcis-23843	150	21	management	management	NOUN
fcis-23843	150	22	,	,	PUNCT
fcis-23843	150	23	particularly	particularly	ADV
fcis-23843	150	24	in	in	ADP
fcis-23843	150	25	terms	term	NOUN
fcis-23843	150	26	of	of	ADP
fcis-23843	150	27	early	early	ADJ
fcis-23843	150	28	detection	detection	NOUN
fcis-23843	150	29	capabilities	capability	NOUN
fcis-23843	150	30	and	and	CCONJ
fcis-23843	150	31	real	real	ADJ
fcis-23843	150	32	-	-	PUNCT
fcis-23843	150	33	time	time	NOUN
fcis-23843	150	34	data	datum	NOUN
fcis-23843	150	35	analytics	analytic	NOUN
fcis-23843	150	36	capabilities	capability	NOUN
fcis-23843	150	37	.	.	PUNCT
fcis-23843	151	1	figure	figure	NOUN
fcis-23843	151	2	3	3	NUM
fcis-23843	151	3	.	.	PUNCT
fcis-23843	151	4	ai	ai	AUX
fcis-23843	151	5	-	-	PUNCT
fcis-23843	151	6	driven	drive	VERB
fcis-23843	151	7	industry	industry	NOUN
fcis-23843	151	8	ecosystem	ecosystem	NOUN
fcis-23843	151	9	and	and	CCONJ
fcis-23843	151	10	application	application	NOUN
fcis-23843	151	11	scenarios	scenario	NOUN
fcis-23843	151	12	framework	framework	NOUN
fcis-23843	151	13	for	for	ADP
fcis-23843	151	14	combating	combat	VERB
fcis-23843	151	15	covid-19	covid-19	PROPN
fcis-23843	151	16	as	as	SCONJ
fcis-23843	151	17	shown	show	VERB
fcis-23843	151	18	in	in	ADP
fcis-23843	151	19	<	<	NOUN
fcis-23843	151	20	figure	figure	NOUN
fcis-23843	151	21	3	3	NUM
fcis-23843	151	22	>	>	PUNCT
fcis-23843	151	23	,	,	PUNCT
fcis-23843	151	24	the	the	DET
fcis-23843	151	25	widespread	widespread	ADJ
fcis-23843	151	26	use	use	NOUN
fcis-23843	151	27	of	of	ADP
fcis-23843	151	28	ai	ai	PROPN
fcis-23843	151	29	technologies	technology	NOUN
fcis-23843	151	30	dramatically	dramatically	ADV
fcis-23843	151	31	increased	increase	VERB
fcis-23843	151	32	the	the	DET
fcis-23843	151	33	efficiency	efficiency	NOUN
fcis-23843	151	34	and	and	CCONJ
fcis-23843	151	35	accuracy	accuracy	NOUN
fcis-23843	151	36	of	of	ADP
fcis-23843	151	37	epidemic	epidemic	NOUN
fcis-23843	151	38	management	management	NOUN
fcis-23843	151	39	,	,	PUNCT
fcis-23843	151	40	forecasting	forecasting	NOUN
fcis-23843	151	41	,	,	PUNCT
fcis-23843	151	42	and	and	CCONJ
fcis-23843	151	43	response	response	NOUN
fcis-23843	151	44	during	during	ADP
fcis-23843	151	45	the	the	DET
fcis-23843	151	46	fight	fight	NOUN
fcis-23843	151	47	against	against	ADP
fcis-23843	151	48	covid-19	covid-19	PROPN
fcis-23843	151	49	.	.	PUNCT
fcis-23843	151	50	initially	initially	ADV
fcis-23843	151	51	,	,	PUNCT
fcis-23843	151	52	using	use	VERB
fcis-23843	151	53	the	the	DET
fcis-23843	151	54	internet	internet	NOUN
fcis-23843	151	55	of	of	ADP
fcis-23843	151	56	things	thing	NOUN
fcis-23843	151	57	(	(	PUNCT
fcis-23843	151	58	iot	iot	NOUN
fcis-23843	151	59	)	)	PUNCT
fcis-23843	151	60	and	and	CCONJ
fcis-23843	151	61	the	the	DET
fcis-23843	151	62	rapid	rapid	ADJ
fcis-23843	151	63	data	datum	NOUN
fcis-23843	151	64	communication	communication	NOUN
fcis-23843	151	65	capabilities	capability	NOUN
fcis-23843	151	66	of	of	ADP
fcis-23843	151	67	5	5	NUM
fcis-23843	151	68	g	g	NOUN
fcis-23843	151	69	technology	technology	NOUN
fcis-23843	151	70	,	,	PUNCT
fcis-23843	151	71	ai	ai	VERB
fcis-23843	151	72	was	be	AUX
fcis-23843	151	73	able	able	ADJ
fcis-23843	151	74	to	to	PART
fcis-23843	151	75	collect	collect	VERB
fcis-23843	151	76	and	and	CCONJ
fcis-23843	151	77	transmit	transmit	VERB
fcis-23843	151	78	data	datum	NOUN
fcis-23843	151	79	from	from	ADP
fcis-23843	151	80	medical	medical	ADJ
fcis-23843	151	81	devices	device	NOUN
fcis-23843	151	82	,	,	PUNCT
fcis-23843	151	83	such	such	ADJ
fcis-23843	151	84	as	as	ADP
fcis-23843	151	85	temperature	temperature	NOUN
fcis-23843	151	86	sensors	sensor	NOUN
fcis-23843	151	87	and	and	CCONJ
fcis-23843	151	88	heart	heart	NOUN
fcis-23843	151	89	rate	rate	NOUN
fcis-23843	151	90	monitors	monitor	NOUN
fcis-23843	151	91	devices	device	NOUN
fcis-23843	151	92	furthermore	furthermore	ADV
fcis-23843	151	93	,	,	PUNCT
fcis-23843	151	94	the	the	DET
fcis-23843	151	95	population	population	NOUN
fcis-23843	151	96	provided	provide	VERB
fcis-23843	151	97	a	a	DET
fcis-23843	151	98	rich	rich	ADJ
fcis-23843	151	99	and	and	CCONJ
fcis-23843	151	100	more	more	ADV
fcis-23843	151	101	multidimensional	multidimensional	ADJ
fcis-23843	151	102	data	datum	NOUN
fcis-23843	151	103	source	source	NOUN
fcis-23843	151	104	for	for	ADP
fcis-23843	151	105	analysis	analysis	NOUN
fcis-23843	151	106	-by	-by	ADP
fcis-23843	151	107	integrating	integrating	NOUN
fcis-23843	151	108	and	and	CCONJ
fcis-23843	151	109	analyzing	analyze	VERB
fcis-23843	151	110	this	this	DET
fcis-23843	151	111	data	datum	NOUN
fcis-23843	151	112	,	,	PUNCT
fcis-23843	151	113	including	include	VERB
fcis-23843	151	114	movement	movement	NOUN
fcis-23843	151	115	data	datum	NOUN
fcis-23843	151	116	and	and	CCONJ
fcis-23843	151	117	medical	medical	ADJ
fcis-23843	151	118	health	health	NOUN
fcis-23843	151	119	records	record	NOUN
fcis-23843	151	120	,	,	PUNCT
fcis-23843	151	121	ai	ai	AUX
fcis-23843	151	122	discovered	discover	VERB
fcis-23843	151	123	how	how	SCONJ
fcis-23843	151	124	the	the	DET
fcis-23843	151	125	epidemic	epidemic	NOUN
fcis-23843	151	126	effectively	effectively	ADV
fcis-23843	151	127	spread	spread	VERB
fcis-23843	151	128	and	and	CCONJ
fcis-23843	151	129	viral	viral	ADJ
fcis-23843	151	130	mutation	mutation	NOUN
fcis-23843	151	131	management	management	NOUN
fcis-23843	151	132	strategies	strategy	NOUN
fcis-23843	151	133	,	,	PUNCT
fcis-23843	151	134	providing	provide	VERB
fcis-23843	151	135	a	a	DET
fcis-23843	151	136	scientific	scientific	ADJ
fcis-23843	151	137	basis	basis	NOUN
fcis-23843	151	138	for	for	ADP
fcis-23843	151	139	epidemic	epidemic	NOUN
fcis-23843	151	140	control	control	NOUN
fcis-23843	151	141	strategies	strategy	NOUN
fcis-23843	151	142	ai	ai	VERB
fcis-23843	151	143	decision	decision	NOUN
fcis-23843	151	144	support	support	NOUN
fcis-23843	151	145	systems	system	NOUN
fcis-23843	151	146	also	also	ADV
fcis-23843	151	147	played	play	VERB
fcis-23843	151	148	a	a	DET
fcis-23843	151	149	key	key	ADJ
fcis-23843	151	150	role	role	NOUN
fcis-23843	151	151	in	in	ADP
fcis-23843	151	152	internal	internal	ADJ
fcis-23843	151	153	epidemic	epidemic	NOUN
fcis-23843	151	154	management	management	NOUN
fcis-23843	151	155	.	.	PUNCT
fcis-23843	152	1	through	through	ADP
fcis-23843	152	2	in	in	ADP
fcis-23843	152	3	-	-	PUNCT
fcis-23843	152	4	depth	depth	NOUN
fcis-23843	152	5	real	real	ADJ
fcis-23843	152	6	-	-	PUNCT
fcis-23843	152	7	time	time	NOUN
fcis-23843	152	8	data	datum	NOUN
fcis-23843	152	9	analytics	analytic	NOUN
fcis-23843	152	10	,	,	PUNCT
fcis-23843	152	11	ai	ai	VERB
fcis-23843	152	12	models	model	NOUN
fcis-23843	152	13	alerted	alert	VERB
fcis-23843	152	14	during	during	ADP
fcis-23843	152	15	outbreak	outbreak	NOUN
fcis-23843	152	16	trends	trend	NOUN
fcis-23843	152	17	and	and	CCONJ
fcis-23843	152	18	potential	potential	ADJ
fcis-23843	152	19	peak	peak	NOUN
fcis-23843	152	20	areas	area	NOUN
fcis-23843	152	21	,	,	PUNCT
fcis-23843	152	22	helping	help	VERB
fcis-23843	152	23	relevant	relevant	ADJ
fcis-23843	152	24	departments	department	NOUN
fcis-23843	152	25	prepare	prepare	VERB
fcis-23843	152	26	early	early	ADV
fcis-23843	152	27	additionally	additionally	ADV
fcis-23843	152	28	,	,	PUNCT
fcis-23843	152	29	ai	ai	VERB
fcis-23843	152	30	analyzed	analyze	VERB
fcis-23843	152	31	areas	area	NOUN
fcis-23843	152	32	in	in	ADP
fcis-23843	152	33	need	need	NOUN
fcis-23843	152	34	of	of	ADP
fcis-23843	152	35	medical	medical	ADJ
fcis-23843	152	36	resource	resource	NOUN
fcis-23843	152	37	escalation	escalation	NOUN
fcis-23843	152	38	or	or	CCONJ
fcis-23843	152	39	community	community	NOUN
fcis-23843	152	40	intervention	intervention	NOUN
fcis-23843	152	41	,	,	PUNCT
fcis-23843	152	42	optimizing	optimize	VERB
fcis-23843	152	43	medical	medical	ADJ
fcis-23843	152	44	resource	resource	NOUN
fcis-23843	152	45	allocation	allocation	NOUN
fcis-23843	152	46	to	to	PART
fcis-23843	152	47	ensure	ensure	VERB
fcis-23843	152	48	28	28	NUM
fcis-23843	152	49	when	when	SCONJ
fcis-23843	152	50	most	most	ADJ
fcis-23843	152	51	needed	need	VERB
fcis-23843	152	52	resources	resource	NOUN
fcis-23843	152	53	are	be	AUX
fcis-23843	152	54	used	use	VERB
fcis-23843	152	55	well	well	ADV
fcis-23843	152	56	.	.	PUNCT
fcis-23843	153	1	ai	ai	AUX
fcis-23843	153	2	also	also	ADV
fcis-23843	153	3	showed	show	VERB
fcis-23843	153	4	strong	strong	ADJ
fcis-23843	153	5	potential	potential	NOUN
fcis-23843	153	6	in	in	ADP
fcis-23843	153	7	direct	direct	ADJ
fcis-23843	153	8	epidemic	epidemic	NOUN
fcis-23843	153	9	surveillance	surveillance	NOUN
fcis-23843	153	10	and	and	CCONJ
fcis-23843	153	11	detection	detection	NOUN
fcis-23843	153	12	.	.	PUNCT
fcis-23843	154	1	ai	ai	AUX
fcis-23843	154	2	also	also	ADV
fcis-23843	154	3	showed	show	VERB
fcis-23843	154	4	strong	strong	ADJ
fcis-23843	154	5	potential	potential	NOUN
fcis-23843	154	6	in	in	ADP
fcis-23843	154	7	direct	direct	ADJ
fcis-23843	154	8	epidemic	epidemic	NOUN
fcis-23843	154	9	surveillance	surveillance	NOUN
fcis-23843	154	10	and	and	CCONJ
fcis-23843	154	11	detection	detection	NOUN
fcis-23843	154	12	.	.	PUNCT
fcis-23843	155	1	the	the	DET
fcis-23843	155	2	development	development	NOUN
fcis-23843	155	3	of	of	ADP
fcis-23843	155	4	ai	ai	ADV
fcis-23843	155	5	-	-	PUNCT
fcis-23843	155	6	enhanced	enhance	VERB
fcis-23843	155	7	image	image	NOUN
fcis-23843	155	8	detection	detection	NOUN
fcis-23843	155	9	analysis	analysis	NOUN
fcis-23843	155	10	technology	technology	NOUN
fcis-23843	155	11	for	for	ADP
fcis-23843	155	12	automated	automate	VERB
fcis-23843	155	13	bacterial	bacterial	ADJ
fcis-23843	155	14	detection	detection	NOUN
fcis-23843	155	15	,	,	PUNCT
fcis-23843	155	16	such	such	ADJ
fcis-23843	155	17	as	as	ADP
fcis-23843	155	18	automated	automate	VERB
fcis-23843	155	19	interpretation	interpretation	NOUN
fcis-23843	155	20	of	of	ADP
fcis-23843	155	21	ct	ct	NUM
fcis-23843	155	22	and	and	CCONJ
fcis-23843	155	23	x	x	NOUN
fcis-23843	155	24	-	-	NOUN
fcis-23843	155	25	ray	ray	NOUN
fcis-23843	155	26	images	image	NOUN
fcis-23843	155	27	,	,	PUNCT
fcis-23843	155	28	allowed	allow	VERB
fcis-23843	155	29	for	for	ADP
fcis-23843	155	30	rapid	rapid	ADJ
fcis-23843	155	31	diagnosis	diagnosis	NOUN
fcis-23843	155	32	of	of	ADP
fcis-23843	155	33	infectious	infectious	ADJ
fcis-23843	155	34	pneumonia	pneumonia	NOUN
fcis-23843	155	35	and	and	CCONJ
fcis-23843	155	36	accuracy	accuracy	NOUN
fcis-23843	155	37	,	,	PUNCT
fcis-23843	155	38	significantly	significantly	ADV
fcis-23843	155	39	improving	improve	VERB
fcis-23843	155	40	the	the	DET
fcis-23843	155	41	speed	speed	NOUN
fcis-23843	155	42	and	and	CCONJ
fcis-23843	155	43	accuracy	accuracy	NOUN
fcis-23843	155	44	of	of	ADP
fcis-23843	155	45	virus	virus	NOUN
fcis-23843	155	46	identification	identification	NOUN
fcis-23843	155	47	and	and	CCONJ
fcis-23843	155	48	ai	ai	VERB
fcis-23843	155	49	covid-19	covid-19	PROPN
fcis-23843	155	50	symptoms	symptom	NOUN
fcis-23843	155	51	in	in	ADP
fcis-23843	155	52	addition	addition	NOUN
fcis-23843	155	53	by	by	ADP
fcis-23843	155	54	monitoring	monitor	VERB
fcis-23843	155	55	individual	individual	ADJ
fcis-23843	155	56	health	health	NOUN
fcis-23843	155	57	parameters	parameter	NOUN
fcis-23843	155	58	using	use	VERB
fcis-23843	155	59	smart	smart	ADJ
fcis-23843	155	60	wearable	wearable	ADJ
fcis-23843	155	61	devices	device	NOUN
fcis-23843	155	62	,	,	PUNCT
fcis-23843	155	63	such	such	ADJ
fcis-23843	155	64	as	as	ADP
fcis-23843	155	65	fever	fever	NOUN
fcis-23843	155	66	and	and	CCONJ
fcis-23843	155	67	cough	cough	NOUN
fcis-23843	155	68	,	,	PUNCT
fcis-23843	155	69	can	can	AUX
fcis-23843	155	70	capture	capture	VERB
fcis-23843	155	71	in	in	ADP
fcis-23843	155	72	real	real	ADJ
fcis-23843	155	73	-	-	PUNCT
fcis-23843	155	74	time	time	NOUN
fcis-23843	155	75	,	,	PUNCT
fcis-23843	155	76	facilitating	facilitate	VERB
fcis-23843	155	77	rapid	rapid	ADJ
fcis-23843	155	78	diagnosis	diagnosis	NOUN
fcis-23843	155	79	and	and	CCONJ
fcis-23843	155	80	isolation	isolation	NOUN
fcis-23843	156	1	these	these	PRON
fcis-23843	156	2	ai	ai	AUX
fcis-23843	156	3	use	use	NOUN
fcis-23843	156	4	case	case	NOUN
fcis-23843	156	5	scenarios	scenario	NOUN
fcis-23843	156	6	are	be	AUX
fcis-23843	156	7	particularly	particularly	ADV
fcis-23843	156	8	effective	effective	ADJ
fcis-23843	156	9	in	in	ADP
fcis-23843	156	10	providing	provide	VERB
fcis-23843	156	11	early	early	ADJ
fcis-23843	156	12	detection	detection	NOUN
fcis-23843	156	13	and	and	CCONJ
fcis-23843	156	14	real	real	ADJ
fcis-23843	156	15	-	-	PUNCT
fcis-23843	156	16	time	time	NOUN
fcis-23843	156	17	response	response	NOUN
fcis-23843	156	18	.	.	PUNCT
fcis-23843	157	1	the	the	DET
fcis-23843	157	2	ai	ai	PROPN
fcis-23843	157	3	system	system	NOUN
fcis-23843	157	4	quickly	quickly	ADV
fcis-23843	157	5	analyzed	analyze	VERB
fcis-23843	157	6	and	and	CCONJ
fcis-23843	157	7	identified	identify	VERB
fcis-23843	157	8	potential	potential	ADJ
fcis-23843	157	9	cases	case	NOUN
fcis-23843	157	10	of	of	ADP
fcis-23843	157	11	covid-19	covid-19	PROPN
fcis-23843	157	12	through	through	ADP
fcis-23843	157	13	a	a	DET
fcis-23843	157	14	variety	variety	NOUN
fcis-23843	157	15	of	of	ADP
fcis-23843	157	16	methods	method	NOUN
fcis-23843	157	17	,	,	PUNCT
fcis-23843	157	18	speeding	speed	VERB
fcis-23843	157	19	up	up	ADP
fcis-23843	157	20	the	the	DET
fcis-23843	157	21	process	process	NOUN
fcis-23843	157	22	of	of	ADP
fcis-23843	157	23	isolating	isolate	VERB
fcis-23843	157	24	and	and	CCONJ
fcis-23843	157	25	treating	treat	VERB
fcis-23843	157	26	such	such	ADJ
fcis-23843	157	27	cases	case	NOUN
fcis-23843	157	28	.	.	PUNCT
fcis-23843	158	1	at	at	ADP
fcis-23843	158	2	the	the	DET
fcis-23843	158	3	same	same	ADJ
fcis-23843	158	4	time	time	NOUN
fcis-23843	158	5	,	,	PUNCT
fcis-23843	158	6	by	by	ADP
fcis-23843	158	7	constantly	constantly	ADV
fcis-23843	158	8	monitoring	monitor	VERB
fcis-23843	158	9	epidemiological	epidemiological	ADJ
fcis-23843	158	10	data	datum	NOUN
fcis-23843	158	11	and	and	CCONJ
fcis-23843	158	12	trends	trend	NOUN
fcis-23843	158	13	,	,	PUNCT
fcis-23843	158	14	ai	ai	AUX
fcis-23843	158	15	provided	provide	VERB
fcis-23843	158	16	realtime	realtime	ADJ
fcis-23843	158	17	information	information	NOUN
fcis-23843	158	18	to	to	ADP
fcis-23843	158	19	health	health	NOUN
fcis-23843	158	20	departments	department	NOUN
fcis-23843	158	21	,	,	PUNCT
fcis-23843	158	22	helping	help	VERB
fcis-23843	158	23	them	they	PRON
fcis-23843	158	24	respond	respond	VERB
fcis-23843	158	25	faster	fast	ADV
fcis-23843	158	26	and	and	CCONJ
fcis-23843	158	27	innovate	innovate	VERB
fcis-23843	158	28	public	public	ADJ
fcis-23843	158	29	health	health	NOUN
fcis-23843	158	30	interventions	intervention	NOUN
fcis-23843	158	31	faster	fast	ADV
fcis-23843	158	32	,	,	PUNCT
fcis-23843	158	33	thus	thus	ADV
fcis-23843	158	34	effectively	effectively	ADV
fcis-23843	158	35	controlling	control	VERB
fcis-23843	158	36	the	the	DET
fcis-23843	158	37	spread	spread	NOUN
fcis-23843	158	38	and	and	CCONJ
fcis-23843	158	39	impact	impact	NOUN
fcis-23843	158	40	of	of	ADP
fcis-23843	158	41	the	the	DET
fcis-23843	158	42	epidemic	epidemic	NOUN
fcis-23843	158	43	they	they	PRON
fcis-23843	158	44	provided	provide	VERB
fcis-23843	158	45	valuable	valuable	ADJ
fcis-23843	158	46	experience	experience	NOUN
fcis-23843	158	47	and	and	CCONJ
fcis-23843	158	48	technology	technology	NOUN
fcis-23843	158	49	to	to	PART
fcis-23843	158	50	help	help	VERB
fcis-23843	158	51	respond	respond	VERB
fcis-23843	158	52	to	to	ADP
fcis-23843	158	53	similar	similar	ADJ
fcis-23843	158	54	public	public	ADJ
fcis-23843	158	55	health	health	NOUN
fcis-23843	158	56	problems	problem	NOUN
fcis-23843	158	57	in	in	ADP
fcis-23843	158	58	the	the	DET
fcis-23843	158	59	future	future	NOUN
fcis-23843	158	60	.	.	PUNCT
fcis-23843	159	1	taken	take	VERB
fcis-23843	159	2	together	together	ADV
fcis-23843	159	3	with	with	ADP
fcis-23843	159	4	the	the	DET
fcis-23843	159	5	framework	framework	NOUN
fcis-23843	159	6	analyzed	analyze	VERB
fcis-23843	159	7	above	above	ADV
fcis-23843	159	8	,	,	PUNCT
fcis-23843	159	9	we	we	PRON
fcis-23843	159	10	see	see	VERB
fcis-23843	159	11	that	that	PRON
fcis-23843	159	12	ai	ai	VERB
fcis-23843	159	13	technology	technology	NOUN
fcis-23843	159	14	has	have	AUX
fcis-23843	159	15	played	play	VERB
fcis-23843	159	16	many	many	ADJ
fcis-23843	159	17	roles	role	NOUN
fcis-23843	159	18	in	in	ADP
fcis-23843	159	19	covid-19	covid-19	PROPN
fcis-23843	159	20	epidemic	epidemic	NOUN
fcis-23843	159	21	detection	detection	NOUN
fcis-23843	159	22	and	and	CCONJ
fcis-23843	159	23	management	management	NOUN
fcis-23843	159	24	,	,	PUNCT
fcis-23843	159	25	not	not	PART
fcis-23843	159	26	only	only	ADV
fcis-23843	159	27	increasing	increase	VERB
fcis-23843	159	28	the	the	DET
fcis-23843	159	29	efficiency	efficiency	NOUN
fcis-23843	159	30	and	and	CCONJ
fcis-23843	159	31	accuracy	accuracy	NOUN
fcis-23843	159	32	of	of	ADP
fcis-23843	159	33	epidemic	epidemic	NOUN
fcis-23843	159	34	surveillance	surveillance	NOUN
fcis-23843	159	35	but	but	CCONJ
fcis-23843	159	36	also	also	ADV
fcis-23843	159	37	improving	improve	VERB
fcis-23843	159	38	the	the	DET
fcis-23843	159	39	ability	ability	NOUN
fcis-23843	159	40	of	of	ADP
fcis-23843	159	41	public	public	ADJ
fcis-23843	159	42	health	health	NOUN
fcis-23843	159	43	to	to	PART
fcis-23843	159	44	respond	respond	VERB
fcis-23843	159	45	quickly	quickly	ADV
fcis-23843	159	46	to	to	ADP
fcis-23843	159	47	incidents	incident	NOUN
fcis-23843	159	48	.	.	PUNCT
fcis-23843	160	1	as	as	SCONJ
fcis-23843	160	2	ai	ai	PROPN
fcis-23843	160	3	technology	technology	NOUN
fcis-23843	160	4	continues	continue	VERB
fcis-23843	160	5	to	to	PART
fcis-23843	160	6	evolve	evolve	VERB
fcis-23843	160	7	,	,	PUNCT
fcis-23843	160	8	its	its	PRON
fcis-23843	160	9	applications	application	NOUN
fcis-23843	160	10	in	in	ADP
fcis-23843	160	11	public	public	ADJ
fcis-23843	160	12	health	health	NOUN
fcis-23843	160	13	will	will	AUX
fcis-23843	160	14	become	become	VERB
fcis-23843	160	15	broader	broad	ADJ
fcis-23843	160	16	and	and	CCONJ
fcis-23843	160	17	deeper	deep	ADJ
fcis-23843	160	18	.	.	PUNCT
fcis-23843	161	1	5	5	X
fcis-23843	161	2	.	.	NOUN
fcis-23843	161	3	challenges	challenge	NOUN
fcis-23843	161	4	and	and	CCONJ
fcis-23843	161	5	strategies	strategy	NOUN
fcis-23843	161	6	of	of	ADP
fcis-23843	161	7	ai	ai	VERB
fcis-23843	161	8	in	in	ADP
fcis-23843	161	9	epidemiological	epidemiological	ADJ
fcis-23843	161	10	research	research	NOUN
fcis-23843	161	11	artificial	artificial	ADJ
fcis-23843	161	12	intelligence	intelligence	NOUN
fcis-23843	161	13	(	(	PUNCT
fcis-23843	161	14	ai	ai	NOUN
fcis-23843	161	15	)	)	PUNCT
fcis-23843	161	16	technology	technology	NOUN
fcis-23843	161	17	has	have	AUX
fcis-23843	161	18	become	become	VERB
fcis-23843	161	19	an	an	DET
fcis-23843	161	20	indispensable	indispensable	ADJ
fcis-23843	161	21	tool	tool	NOUN
fcis-23843	161	22	in	in	ADP
fcis-23843	161	23	modern	modern	ADJ
fcis-23843	161	24	epidemiology	epidemiology	NOUN
fcis-23843	161	25	,	,	PUNCT
fcis-23843	161	26	showing	show	VERB
fcis-23843	161	27	great	great	ADJ
fcis-23843	161	28	potential	potential	NOUN
fcis-23843	161	29	in	in	ADP
fcis-23843	161	30	data	data	NOUN
fcis-23843	161	31	processing	processing	NOUN
fcis-23843	161	32	,	,	PUNCT
fcis-23843	161	33	disease	disease	NOUN
fcis-23843	161	34	pattern	pattern	NOUN
fcis-23843	161	35	recognition	recognition	NOUN
fcis-23843	161	36	,	,	PUNCT
fcis-23843	161	37	and	and	CCONJ
fcis-23843	161	38	epidemiological	epidemiological	ADJ
fcis-23843	161	39	prediction	prediction	NOUN
fcis-23843	161	40	but	but	CCONJ
fcis-23843	161	41	the	the	DET
fcis-23843	161	42	widespread	widespread	ADJ
fcis-23843	161	43	use	use	NOUN
fcis-23843	161	44	of	of	ADP
fcis-23843	161	45	ai	ai	PRON
fcis-23843	161	46	technology	technology	NOUN
fcis-23843	161	47	has	have	AUX
fcis-23843	161	48	also	also	ADV
fcis-23843	161	49	raised	raise	VERB
fcis-23843	161	50	various	various	ADJ
fcis-23843	161	51	challenges	challenge	NOUN
fcis-23843	161	52	methods	method	NOUN
fcis-23843	161	53	a	a	DET
fcis-23843	161	54	effectiveness	effectiveness	NOUN
fcis-23843	161	55	are	be	AUX
fcis-23843	161	56	needed	need	VERB
fcis-23843	161	57	to	to	PART
fcis-23843	161	58	ensure	ensure	VERB
fcis-23843	161	59	that	that	SCONJ
fcis-23843	161	60	firstly	firstly	ADV
fcis-23843	161	61	,	,	PUNCT
fcis-23843	161	62	data	datum	NOUN
fcis-23843	161	63	privacy	privacy	NOUN
fcis-23843	161	64	and	and	CCONJ
fcis-23843	161	65	security	security	NOUN
fcis-23843	161	66	pose	pose	VERB
fcis-23843	161	67	great	great	ADJ
fcis-23843	161	68	challenges	challenge	NOUN
fcis-23843	161	69	in	in	ADP
fcis-23843	161	70	ai	ai	PROPN
fcis-23843	161	71	applications	application	NOUN
fcis-23843	161	72	.	.	PUNCT
fcis-23843	162	1	epidemiology	epidemiology	NOUN
fcis-23843	162	2	involves	involve	VERB
fcis-23843	162	3	a	a	DET
fcis-23843	162	4	wealth	wealth	NOUN
fcis-23843	162	5	of	of	ADP
fcis-23843	162	6	sensitive	sensitive	ADJ
fcis-23843	162	7	personal	personal	ADJ
fcis-23843	162	8	health	health	NOUN
fcis-23843	162	9	information	information	NOUN
fcis-23843	162	10	,	,	PUNCT
fcis-23843	162	11	and	and	CCONJ
fcis-23843	162	12	it	it	PRON
fcis-23843	162	13	is	be	AUX
fcis-23843	162	14	important	important	ADJ
fcis-23843	162	15	to	to	PART
fcis-23843	162	16	ensure	ensure	VERB
fcis-23843	162	17	that	that	SCONJ
fcis-23843	162	18	personal	personal	ADJ
fcis-23843	162	19	information	information	NOUN
fcis-23843	162	20	is	be	AUX
fcis-23843	162	21	not	not	PART
fcis-23843	162	22	disclosed	disclose	VERB
fcis-23843	162	23	during	during	ADP
fcis-23843	162	24	disease	disease	NOUN
fcis-23843	162	25	surveillance	surveillance	NOUN
fcis-23843	162	26	and	and	CCONJ
fcis-23843	162	27	data	datum	NOUN
fcis-23843	162	28	analysis	analysis	NOUN
fcis-23843	162	29	in	in	ADP
fcis-23843	162	30	this	this	DET
fcis-23843	162	31	research	research	NOUN
fcis-23843	162	32	,	,	PUNCT
fcis-23843	162	33	research	research	NOUN
fcis-23843	162	34	teams	team	NOUN
fcis-23843	162	35	must	must	AUX
fcis-23843	162	36	implement	implement	VERB
fcis-23843	162	37	strict	strict	ADJ
fcis-23843	162	38	usage	usage	NOUN
fcis-23843	162	39	policies	policy	NOUN
fcis-23843	162	40	,	,	PUNCT
fcis-23843	162	41	such	such	ADJ
fcis-23843	162	42	as	as	ADP
fcis-23843	162	43	data	data	NOUN
fcis-23843	162	44	privacy	privacy	NOUN
fcis-23843	162	45	and	and	CCONJ
fcis-23843	162	46	anonymity	anonymity	NOUN
fcis-23843	162	47	mechanisms	mechanism	NOUN
fcis-23843	162	48	,	,	PUNCT
fcis-23843	162	49	as	as	SCONJ
fcis-23843	162	50	is	be	AUX
fcis-23843	162	51	the	the	DET
fcis-23843	162	52	nature	nature	NOUN
fcis-23843	162	53	of	of	ADP
fcis-23843	162	54	the	the	DET
fcis-23843	162	55	true	true	ADJ
fcis-23843	162	56	ai	ai	NOUN
fcis-23843	162	57	model	model	NOUN
fcis-23843	162	58	representing	represent	VERB
fcis-23843	162	59	the	the	DET
fcis-23843	162	60	input	input	NOUN
fcis-23843	162	61	data	datum	NOUN
fcis-23843	162	62	it	it	PRON
fcis-23843	162	63	depends	depend	VERB
fcis-23843	162	64	heavily	heavily	ADV
fcis-23843	162	65	on	on	ADP
fcis-23843	162	66	f.	f.	PROPN
fcis-23843	162	67	epidemiological	epidemiological	ADJ
fcis-23843	162	68	data	datum	NOUN
fcis-23843	162	69	frequently	frequently	ADV
fcis-23843	162	70	face	face	VERB
fcis-23843	162	71	issues	issue	NOUN
fcis-23843	162	72	of	of	ADP
fcis-23843	162	73	unavailability	unavailability	NOUN
fcis-23843	162	74	,	,	PUNCT
fcis-23843	162	75	bias	bias	NOUN
fcis-23843	162	76	,	,	PUNCT
fcis-23843	162	77	and	and	CCONJ
fcis-23843	162	78	noise	noise	NOUN
fcis-23843	162	79	,	,	PUNCT
fcis-23843	162	80	which	which	PRON
fcis-23843	162	81	can	can	AUX
fcis-23843	162	82	lead	lead	VERB
fcis-23843	162	83	to	to	ADP
fcis-23843	162	84	inaccurate	inaccurate	ADJ
fcis-23843	162	85	diagnoses	diagnosis	NOUN
fcis-23843	162	86	.	.	PUNCT
fcis-23843	163	1	to	to	PART
fcis-23843	163	2	improve	improve	VERB
fcis-23843	163	3	the	the	DET
fcis-23843	163	4	quality	quality	NOUN
fcis-23843	163	5	of	of	ADP
fcis-23843	163	6	the	the	DET
fcis-23843	163	7	data	datum	NOUN
fcis-23843	163	8	,	,	PUNCT
fcis-23843	163	9	researchers	researcher	NOUN
fcis-23843	163	10	need	need	VERB
fcis-23843	163	11	to	to	PART
fcis-23843	163	12	use	use	VERB
fcis-23843	163	13	advanced	advanced	ADJ
fcis-23843	163	14	methods	method	NOUN
fcis-23843	163	15	for	for	ADP
fcis-23843	163	16	data	data	NOUN
fcis-23843	163	17	cleansing	cleansing	NOUN
fcis-23843	163	18	and	and	CCONJ
fcis-23843	163	19	data	datum	NOUN
fcis-23843	163	20	integrity	integrity	NOUN
fcis-23843	163	21	analysis	analysis	NOUN
fcis-23843	163	22	and	and	CCONJ
fcis-23843	163	23	develop	develop	VERB
fcis-23843	163	24	robust	robust	ADJ
fcis-23843	163	25	ai	ai	NOUN
fcis-23843	163	26	systems	system	NOUN
fcis-23843	163	27	that	that	PRON
fcis-23843	163	28	can	can	AUX
fcis-23843	163	29	adapt	adapt	VERB
fcis-23843	163	30	to	to	ADP
fcis-23843	163	31	data	datum	NOUN
fcis-23843	163	32	entry	entry	NOUN
fcis-23843	163	33	in	in	ADP
fcis-23843	163	34	incompleteness	incompleteness	NOUN
fcis-23843	163	35	.	.	PUNCT
fcis-23843	164	1	researchers	researcher	NOUN
fcis-23843	164	2	should	should	AUX
fcis-23843	164	3	therefore	therefore	ADV
fcis-23843	164	4	strive	strive	VERB
fcis-23843	164	5	to	to	PART
fcis-23843	164	6	develop	develop	VERB
fcis-23843	164	7	machine	machine	NOUN
fcis-23843	164	8	learning	learning	NOUN
fcis-23843	164	9	models	model	NOUN
fcis-23843	164	10	that	that	PRON
fcis-23843	164	11	can	can	AUX
fcis-23843	164	12	be	be	AUX
fcis-23843	164	13	interpreted	interpret	VERB
fcis-23843	164	14	and	and	CCONJ
fcis-23843	164	15	provide	provide	VERB
fcis-23843	164	16	appropriate	appropriate	ADJ
fcis-23843	164	17	model	model	NOUN
fcis-23843	164	18	descriptions	description	NOUN
fcis-23843	164	19	to	to	PART
fcis-23843	164	20	enable	enable	VERB
fcis-23843	164	21	non	non	NOUN
fcis-23843	164	22	-	-	NOUN
fcis-23843	164	23	experts	expert	NOUN
fcis-23843	164	24	to	to	PART
fcis-23843	164	25	understand	understand	VERB
fcis-23843	164	26	the	the	DET
fcis-23843	164	27	basis	basis	NOUN
fcis-23843	164	28	and	and	CCONJ
fcis-23843	164	29	logic	logic	NOUN
fcis-23843	164	30	underlying	underlying	ADJ
fcis-23843	164	31	model	model	NOUN
fcis-23843	164	32	decisions	decision	NOUN
fcis-23843	164	33	.	.	PUNCT
fcis-23843	165	1	therefore	therefore	ADV
fcis-23843	165	2	,	,	PUNCT
fcis-23843	165	3	developing	develop	VERB
fcis-23843	165	4	ethical	ethical	ADJ
fcis-23843	165	5	review	review	NOUN
fcis-23843	165	6	procedures	procedure	NOUN
fcis-23843	165	7	,	,	PUNCT
fcis-23843	165	8	conducting	conduct	VERB
fcis-23843	165	9	algorithm	algorithm	NOUN
fcis-23843	165	10	bias	bias	NOUN
fcis-23843	165	11	testing	testing	NOUN
fcis-23843	165	12	,	,	PUNCT
fcis-23843	165	13	and	and	CCONJ
fcis-23843	165	14	ensuring	ensure	VERB
fcis-23843	165	15	that	that	SCONJ
fcis-23843	165	16	all	all	PRON
fcis-23843	165	17	ai	ai	VERB
fcis-23843	165	18	projects	project	NOUN
fcis-23843	165	19	undergo	undergo	VERB
fcis-23843	165	20	ethical	ethical	ADJ
fcis-23843	165	21	reviews	review	NOUN
fcis-23843	165	22	to	to	PART
fcis-23843	165	23	monitor	monitor	VERB
fcis-23843	165	24	and	and	CCONJ
fcis-23843	165	25	control	control	VERB
fcis-23843	165	26	potential	potential	ADJ
fcis-23843	165	27	ethical	ethical	ADJ
fcis-23843	165	28	risks	risk	NOUN
fcis-23843	165	29	are	be	AUX
fcis-23843	165	30	necessary	necessary	ADJ
fcis-23843	165	31	steps	step	NOUN
fcis-23843	165	32	for	for	ADP
fcis-23843	165	33	every	every	DET
fcis-23843	165	34	research	research	NOUN
fcis-23843	165	35	project	project	NOUN
fcis-23843	165	36	.	.	PUNCT
fcis-23843	166	1	finally	finally	ADV
fcis-23843	166	2	,	,	PUNCT
fcis-23843	166	3	the	the	DET
fcis-23843	166	4	use	use	NOUN
fcis-23843	166	5	of	of	ADP
fcis-23843	166	6	these	these	DET
fcis-23843	166	7	techniques	technique	NOUN
fcis-23843	166	8	not	not	PART
fcis-23843	166	9	only	only	ADV
fcis-23843	166	10	enhances	enhance	VERB
fcis-23843	166	11	the	the	DET
fcis-23843	166	12	potential	potential	NOUN
fcis-23843	166	13	of	of	ADP
fcis-23843	166	14	ai	ai	NOUN
fcis-23843	166	15	in	in	ADP
fcis-23843	166	16	epidemiological	epidemiological	ADJ
fcis-23843	166	17	research	research	NOUN
fcis-23843	166	18	,	,	PUNCT
fcis-23843	166	19	improving	improve	VERB
fcis-23843	166	20	the	the	DET
fcis-23843	166	21	timeliness	timeliness	NOUN
fcis-23843	166	22	and	and	CCONJ
fcis-23843	166	23	accuracy	accuracy	NOUN
fcis-23843	166	24	of	of	ADP
fcis-23843	166	25	public	public	ADJ
fcis-23843	166	26	health	health	NOUN
fcis-23843	166	27	interventions	intervention	NOUN
fcis-23843	166	28	but	but	CCONJ
fcis-23843	166	29	also	also	ADV
fcis-23843	166	30	helps	help	VERB
fcis-23843	166	31	build	build	VERB
fcis-23843	166	32	public	public	ADJ
fcis-23843	166	33	confidence	confidence	NOUN
fcis-23843	166	34	in	in	ADP
fcis-23843	166	35	the	the	DET
fcis-23843	166	36	use	use	NOUN
fcis-23843	166	37	of	of	ADP
fcis-23843	166	38	ai	ai	NOUN
fcis-23843	166	39	in	in	ADP
fcis-23843	166	40	healthcare	healthcare	NOUN
fcis-23843	166	41	,	,	PUNCT
fcis-23843	166	42	promoting	promote	VERB
fcis-23843	166	43	acceptance	acceptance	NOUN
fcis-23843	166	44	and	and	CCONJ
fcis-23843	166	45	use	use	NOUN
fcis-23843	166	46	in	in	ADP
fcis-23843	166	47	a	a	DET
fcis-23843	166	48	wider	wide	ADJ
fcis-23843	166	49	context	context	NOUN
fcis-23843	166	50	we	we	PRON
fcis-23843	166	51	by	by	ADP
fcis-23843	166	52	plans	plan	NOUN
fcis-23843	166	53	to	to	PART
fcis-23843	166	54	improve	improve	VERB
fcis-23843	166	55	we	we	PRON
fcis-23843	166	56	hope	hope	VERB
fcis-23843	166	57	to	to	PART
fcis-23843	166	58	use	use	VERB
fcis-23843	166	59	this	this	DET
fcis-23843	166	60	powerful	powerful	ADJ
fcis-23843	166	61	technological	technological	ADJ
fcis-23843	166	62	tool	tool	NOUN
fcis-23843	166	63	effectively	effectively	ADV
fcis-23843	166	64	to	to	PART
fcis-23843	166	65	serve	serve	VERB
fcis-23843	166	66	the	the	DET
fcis-23843	166	67	public	public	ADJ
fcis-23843	166	68	address	address	NOUN
fcis-23843	166	69	health	health	NOUN
fcis-23843	166	70	challenges	challenge	NOUN
fcis-23843	166	71	and	and	CCONJ
fcis-23843	166	72	protect	protect	VERB
fcis-23843	166	73	human	human	ADJ
fcis-23843	166	74	health	health	NOUN
fcis-23843	166	75	.	.	PUNCT
fcis-23843	167	1	researchers	researcher	NOUN
fcis-23843	167	2	should	should	AUX
fcis-23843	167	3	therefore	therefore	ADV
fcis-23843	167	4	strive	strive	VERB
fcis-23843	167	5	to	to	PART
fcis-23843	167	6	develop	develop	VERB
fcis-23843	167	7	machine	machine	NOUN
fcis-23843	167	8	learning	learning	NOUN
fcis-23843	167	9	models	model	NOUN
fcis-23843	167	10	that	that	PRON
fcis-23843	167	11	can	can	AUX
fcis-23843	167	12	be	be	AUX
fcis-23843	167	13	interpreted	interpret	VERB
fcis-23843	167	14	and	and	CCONJ
fcis-23843	167	15	provide	provide	VERB
fcis-23843	167	16	appropriate	appropriate	ADJ
fcis-23843	167	17	model	model	NOUN
fcis-23843	167	18	descriptions	description	NOUN
fcis-23843	167	19	to	to	PART
fcis-23843	167	20	enable	enable	VERB
fcis-23843	167	21	non	non	NOUN
fcis-23843	167	22	-	-	NOUN
fcis-23843	167	23	experts	expert	NOUN
fcis-23843	167	24	to	to	PART
fcis-23843	167	25	understand	understand	VERB
fcis-23843	167	26	the	the	DET
fcis-23843	167	27	basis	basis	NOUN
fcis-23843	167	28	and	and	CCONJ
fcis-23843	167	29	logic	logic	NOUN
fcis-23843	167	30	underlying	underlying	ADJ
fcis-23843	167	31	model	model	NOUN
fcis-23843	167	32	decisions	decision	NOUN
fcis-23843	167	33	.	.	PUNCT
fcis-23843	168	1	therefore	therefore	ADV
fcis-23843	168	2	,	,	PUNCT
fcis-23843	168	3	developing	develop	VERB
fcis-23843	168	4	ethical	ethical	ADJ
fcis-23843	168	5	review	review	NOUN
fcis-23843	168	6	procedures	procedure	NOUN
fcis-23843	168	7	,	,	PUNCT
fcis-23843	168	8	conducting	conduct	VERB
fcis-23843	168	9	algorithm	algorithm	NOUN
fcis-23843	168	10	bias	bias	NOUN
fcis-23843	168	11	testing	testing	NOUN
fcis-23843	168	12	,	,	PUNCT
fcis-23843	168	13	and	and	CCONJ
fcis-23843	168	14	ensuring	ensure	VERB
fcis-23843	168	15	that	that	SCONJ
fcis-23843	168	16	all	all	PRON
fcis-23843	168	17	ai	ai	VERB
fcis-23843	168	18	projects	project	NOUN
fcis-23843	168	19	undergo	undergo	VERB
fcis-23843	168	20	ethical	ethical	ADJ
fcis-23843	168	21	reviews	review	NOUN
fcis-23843	168	22	to	to	PART
fcis-23843	168	23	monitor	monitor	VERB
fcis-23843	168	24	and	and	CCONJ
fcis-23843	168	25	control	control	VERB
fcis-23843	168	26	potential	potential	ADJ
fcis-23843	168	27	ethical	ethical	ADJ
fcis-23843	168	28	risks	risk	NOUN
fcis-23843	168	29	are	be	AUX
fcis-23843	168	30	necessary	necessary	ADJ
fcis-23843	168	31	steps	step	NOUN
fcis-23843	168	32	for	for	ADP
fcis-23843	168	33	every	every	DET
fcis-23843	168	34	research	research	NOUN
fcis-23843	168	35	project	project	NOUN
fcis-23843	168	36	.	.	PUNCT
fcis-23843	169	1	finally	finally	ADV
fcis-23843	169	2	,	,	PUNCT
fcis-23843	169	3	the	the	DET
fcis-23843	169	4	use	use	NOUN
fcis-23843	169	5	of	of	ADP
fcis-23843	169	6	these	these	DET
fcis-23843	169	7	techniques	technique	NOUN
fcis-23843	169	8	not	not	PART
fcis-23843	169	9	only	only	ADV
fcis-23843	169	10	enhances	enhance	VERB
fcis-23843	169	11	the	the	DET
fcis-23843	169	12	potential	potential	NOUN
fcis-23843	169	13	of	of	ADP
fcis-23843	169	14	ai	ai	NOUN
fcis-23843	169	15	in	in	ADP
fcis-23843	169	16	epidemiological	epidemiological	ADJ
fcis-23843	169	17	research	research	NOUN
fcis-23843	169	18	,	,	PUNCT
fcis-23843	169	19	improving	improve	VERB
fcis-23843	169	20	the	the	DET
fcis-23843	169	21	timeliness	timeliness	NOUN
fcis-23843	169	22	and	and	CCONJ
fcis-23843	169	23	accuracy	accuracy	NOUN
fcis-23843	169	24	of	of	ADP
fcis-23843	169	25	public	public	ADJ
fcis-23843	169	26	health	health	NOUN
fcis-23843	169	27	interventions	intervention	NOUN
fcis-23843	169	28	but	but	CCONJ
fcis-23843	169	29	also	also	ADV
fcis-23843	169	30	helps	help	VERB
fcis-23843	169	31	build	build	VERB
fcis-23843	169	32	public	public	ADJ
fcis-23843	169	33	confidence	confidence	NOUN
fcis-23843	169	34	in	in	ADP
fcis-23843	169	35	the	the	DET
fcis-23843	169	36	use	use	NOUN
fcis-23843	169	37	of	of	ADP
fcis-23843	169	38	ai	ai	NOUN
fcis-23843	169	39	in	in	ADP
fcis-23843	169	40	healthcare	healthcare	NOUN
fcis-23843	169	41	,	,	PUNCT
fcis-23843	169	42	promoting	promote	VERB
fcis-23843	169	43	acceptance	acceptance	NOUN
fcis-23843	169	44	and	and	CCONJ
fcis-23843	169	45	use	use	NOUN
fcis-23843	169	46	in	in	ADP
fcis-23843	169	47	a	a	DET
fcis-23843	169	48	wider	wide	ADJ
fcis-23843	169	49	context	context	NOUN
fcis-23843	169	50	we	we	PRON
fcis-23843	169	51	by	by	ADP
fcis-23843	169	52	plans	plan	NOUN
fcis-23843	169	53	to	to	PART
fcis-23843	169	54	improve	improve	VERB
fcis-23843	169	55	we	we	PRON
fcis-23843	169	56	hope	hope	VERB
fcis-23843	169	57	to	to	PART
fcis-23843	169	58	use	use	VERB
fcis-23843	169	59	this	this	DET
fcis-23843	169	60	powerful	powerful	ADJ
fcis-23843	169	61	technological	technological	ADJ
fcis-23843	169	62	tool	tool	NOUN
fcis-23843	169	63	effectively	effectively	ADV
fcis-23843	169	64	to	to	PART
fcis-23843	169	65	serve	serve	VERB
fcis-23843	169	66	the	the	DET
fcis-23843	169	67	public	public	ADJ
fcis-23843	169	68	address	address	NOUN
fcis-23843	169	69	health	health	NOUN
fcis-23843	169	70	challenges	challenge	NOUN
fcis-23843	169	71	and	and	CCONJ
fcis-23843	169	72	protect	protect	VERB
fcis-23843	169	73	human	human	ADJ
fcis-23843	169	74	health	health	NOUN
fcis-23843	169	75	.	.	PUNCT
fcis-23843	170	1	6	6	X
fcis-23843	170	2	.	.	X
fcis-23843	170	3	conclusion	conclusion	NOUN
fcis-23843	170	4	in	in	ADP
fcis-23843	170	5	epidemiological	epidemiological	ADJ
fcis-23843	170	6	research	research	NOUN
fcis-23843	170	7	,	,	PUNCT
fcis-23843	170	8	artificial	artificial	ADJ
fcis-23843	170	9	intelligence	intelligence	NOUN
fcis-23843	170	10	has	have	AUX
fcis-23843	170	11	shown	show	VERB
fcis-23843	170	12	a	a	DET
fcis-23843	170	13	strong	strong	ADJ
fcis-23843	170	14	potential	potential	NOUN
fcis-23843	170	15	to	to	PART
fcis-23843	170	16	improve	improve	VERB
fcis-23843	170	17	disease	disease	NOUN
fcis-23843	170	18	surveillance	surveillance	NOUN
fcis-23843	170	19	,	,	PUNCT
fcis-23843	170	20	prediction	prediction	NOUN
fcis-23843	170	21	,	,	PUNCT
fcis-23843	170	22	and	and	CCONJ
fcis-23843	170	23	management	management	NOUN
fcis-23843	170	24	,	,	PUNCT
fcis-23843	170	25	especially	especially	ADV
fcis-23843	170	26	in	in	ADP
fcis-23843	170	27	the	the	DET
fcis-23843	170	28	face	face	NOUN
fcis-23843	170	29	of	of	ADP
fcis-23843	170	30	global	global	ADJ
fcis-23843	170	31	public	public	ADJ
fcis-23843	170	32	health	health	NOUN
fcis-23843	170	33	crises	crisis	NOUN
fcis-23843	170	34	such	such	ADJ
fcis-23843	170	35	as	as	ADP
fcis-23843	170	36	the	the	DET
fcis-23843	170	37	covid-19	covid-19	PROPN
fcis-23843	170	38	pandemic	pandemic	NOUN
fcis-23843	170	39	.	.	PUNCT
fcis-23843	171	1	ai	ai	AUX
fcis-23843	171	2	not	not	PART
fcis-23843	171	3	only	only	ADV
fcis-23843	171	4	accelerated	accelerate	VERB
fcis-23843	171	5	data	datum	NOUN
fcis-23843	171	6	processing	processing	NOUN
fcis-23843	171	7	operations	operation	NOUN
fcis-23843	171	8	,	,	PUNCT
fcis-23843	171	9	increasing	increase	VERB
fcis-23843	171	10	the	the	DET
fcis-23843	171	11	speed	speed	NOUN
fcis-23843	171	12	and	and	CCONJ
fcis-23843	171	13	accuracy	accuracy	NOUN
fcis-23843	171	14	of	of	ADP
fcis-23843	171	15	epidemic	epidemic	NOUN
fcis-23843	171	16	response	response	NOUN
fcis-23843	171	17	,	,	PUNCT
fcis-23843	171	18	but	but	CCONJ
fcis-23843	171	19	also	also	ADV
fcis-23843	171	20	enabled	enable	VERB
fcis-23843	171	21	more	more	ADV
fcis-23843	171	22	accurate	accurate	ADJ
fcis-23843	171	23	disease	disease	NOUN
fcis-23843	171	24	prediction	prediction	NOUN
fcis-23843	171	25	and	and	CCONJ
fcis-23843	171	26	public	public	ADJ
fcis-23843	171	27	health	health	NOUN
fcis-23843	171	28	decisionmaking	decisionmake	VERB
fcis-23843	171	29	through	through	ADP
fcis-23843	171	30	intelligent	intelligent	ADJ
fcis-23843	171	31	data	datum	NOUN
fcis-23843	171	32	analytics	analytic	NOUN
fcis-23843	171	33	and	and	CCONJ
fcis-23843	171	34	rather	rather	ADV
fcis-23843	171	35	the	the	DET
fcis-23843	171	36	challenges	challenge	NOUN
fcis-23843	171	37	associated	associate	VERB
fcis-23843	171	38	with	with	ADP
fcis-23843	171	39	data	datum	NOUN
fcis-23843	171	40	privacy	privacy	NOUN
fcis-23843	171	41	,	,	PUNCT
fcis-23843	171	42	transparent	transparent	ADJ
fcis-23843	171	43	monitoring	monitoring	NOUN
fcis-23843	171	44	,	,	PUNCT
fcis-23843	171	45	data	datum	NOUN
fcis-23843	171	46	quality	quality	NOUN
fcis-23843	171	47	,	,	PUNCT
fcis-23843	171	48	and	and	CCONJ
fcis-23843	171	49	ethics	ethic	NOUN
fcis-23843	171	50	even	even	ADV
fcis-23843	171	51	before	before	SCONJ
fcis-23843	171	52	it	it	PRON
fcis-23843	171	53	happens	happen	VERB
fcis-23843	171	54	.	.	PUNCT
fcis-23843	172	1	these	these	DET
fcis-23843	172	2	challenges	challenge	NOUN
fcis-23843	172	3	require	require	VERB
fcis-23843	172	4	concerted	concerted	ADJ
fcis-23843	172	5	efforts	effort	NOUN
fcis-23843	172	6	by	by	ADP
fcis-23843	172	7	researchers	researcher	NOUN
fcis-23843	172	8	,	,	PUNCT
fcis-23843	172	9	engineers	engineer	NOUN
fcis-23843	172	10	,	,	PUNCT
fcis-23843	172	11	and	and	CCONJ
fcis-23843	172	12	policymakers	policymaker	NOUN
fcis-23843	172	13	to	to	PART
fcis-23843	172	14	develop	develop	VERB
fcis-23843	172	15	secure	secure	ADJ
fcis-23843	172	16	,	,	PUNCT
fcis-23843	172	17	definable	definable	ADJ
fcis-23843	172	18	,	,	PUNCT
fcis-23843	172	19	and	and	CCONJ
fcis-23843	172	20	ethical	ethical	ADJ
fcis-23843	172	21	ai	ai	VERB
fcis-23843	172	22	operating	operating	NOUN
fcis-23843	172	23	systems	system	NOUN
fcis-23843	172	24	by	by	ADP
fcis-23843	172	25	strengthening	strengthen	VERB
fcis-23843	172	26	data	datum	NOUN
fcis-23843	172	27	security	security	NOUN
fcis-23843	172	28	protocols	protocol	NOUN
fcis-23843	172	29	,	,	PUNCT
fcis-23843	172	30	optimizing	optimize	VERB
fcis-23843	172	31	data	datum	NOUN
fcis-23843	172	32	processing	processing	NOUN
fcis-23843	172	33	technologies	technology	NOUN
fcis-23843	172	34	,	,	PUNCT
fcis-23843	172	35	e.g.	e.g.	ADV
fcis-23843	172	36	improving	improve	VERB
fcis-23843	172	37	interpretation	interpretation	NOUN
fcis-23843	172	38	,	,	PUNCT
fcis-23843	172	39	and	and	CCONJ
fcis-23843	172	40	at	at	ADP
fcis-23843	172	41	the	the	DET
fcis-23843	172	42	expense	expense	NOUN
fcis-23843	172	43	of	of	ADP
fcis-23843	172	44	individual	individual	ADJ
fcis-23843	172	45	privacy	privacy	NOUN
fcis-23843	172	46	and	and	CCONJ
fcis-23843	172	47	societal	societal	ADJ
fcis-23843	172	48	values	value	NOUN
fcis-23843	172	49	.	.	PUNCT
fcis-23843	173	1	if	if	SCONJ
fcis-23843	173	2	we	we	PRON
fcis-23843	173	3	do	do	AUX
fcis-23843	173	4	not	not	PART
fcis-23843	173	5	fully	fully	ADV
fcis-23843	173	6	recognize	recognize	VERB
fcis-23843	173	7	the	the	DET
fcis-23843	173	8	role	role	NOUN
fcis-23843	173	9	of	of	ADP
fcis-23843	173	10	ai	ai	VERB
fcis-23843	173	11	in	in	ADP
fcis-23843	173	12	epidemiology	epidemiology	NOUN
fcis-23843	173	13	we	we	PRON
fcis-23843	173	14	can	can	AUX
fcis-23843	173	15	do	do	AUX
fcis-23843	173	16	looking	look	VERB
fcis-23843	173	17	ahead	ahead	ADV
fcis-23843	173	18	,	,	PUNCT
fcis-23843	173	19	the	the	DET
fcis-23843	173	20	application	application	NOUN
fcis-23843	173	21	of	of	ADP
fcis-23843	173	22	ai	ai	PRON
fcis-23843	173	23	technology	technology	NOUN
fcis-23843	173	24	in	in	ADP
fcis-23843	173	25	epidemiology	epidemiology	NOUN
fcis-23843	173	26	is	be	AUX
fcis-23843	173	27	the	the	DET
fcis-23843	173	28	broader	broad	ADJ
fcis-23843	173	29	medical	medical	ADJ
fcis-23843	173	30	and	and	CCONJ
fcis-23843	173	31	health	health	NOUN
fcis-23843	173	32	sector	sector	NOUN
fcis-23843	173	33	will	will	AUX
fcis-23843	173	34	continue	continue	VERB
fcis-23843	173	35	to	to	PART
fcis-23843	173	36	expand	expand	VERB
fcis-23843	173	37	,	,	PUNCT
fcis-23843	173	38	ai	ai	VERB
fcis-23843	173	39	is	be	AUX
fcis-23843	173	40	expected	expect	VERB
fcis-23843	173	41	to	to	PART
fcis-23843	173	42	play	play	VERB
fcis-23843	173	43	an	an	DET
fcis-23843	173	44	increasingly	increasingly	ADV
fcis-23843	173	45	important	important	ADJ
fcis-23843	173	46	role	role	NOUN
fcis-23843	173	47	in	in	ADP
fcis-23843	173	48	the	the	DET
fcis-23843	173	49	prevention	prevention	NOUN
fcis-23843	173	50	,	,	PUNCT
fcis-23843	173	51	monitoring	monitoring	NOUN
fcis-23843	173	52	and	and	CCONJ
fcis-23843	173	53	management	management	NOUN
fcis-23843	173	54	of	of	ADP
fcis-23843	173	55	infectious	infectious	ADJ
fcis-23843	173	56	diseases	disease	NOUN
fcis-23843	173	57	due	due	ADJ
fcis-23843	173	58	to	to	ADP
fcis-23843	173	59	advances	advance	NOUN
fcis-23843	173	60	in	in	ADP
fcis-23843	173	61	technology	technology	NOUN
fcis-23843	173	62	and	and	CCONJ
fcis-23843	173	63	algorithm	algorithm	NOUN
fcis-23843	173	64	optimization	optimization	NOUN
fcis-23843	173	65	,	,	PUNCT
fcis-23843	173	66	and	and	CCONJ
fcis-23843	173	67	global	global	ADJ
fcis-23843	173	68	data	datum	NOUN
fcis-23843	173	69	sharing	sharing	NOUN
fcis-23843	173	70	and	and	CCONJ
fcis-23843	173	71	workflow	workflow	NOUN
fcis-23843	173	72	mechanisms	mechanism	NOUN
fcis-23843	173	73	in	in	ADP
fcis-23843	173	74	place	place	NOUN
fcis-23843	173	75	because	because	SCONJ
fcis-23843	173	76	it	it	PRON
fcis-23843	173	77	will	will	AUX
fcis-23843	173	78	be	be	AUX
fcis-23843	173	79	a	a	DET
fcis-23843	173	80	priority	priority	NOUN
fcis-23843	173	81	.	.	PUNCT
fcis-23843	174	1	references	reference	NOUN
fcis-23843	174	2	[	[	X
fcis-23843	174	3	1	1	NUM
fcis-23843	174	4	]	]	X
fcis-23843	174	5	ali	ali	PROPN
fcis-23843	174	6	,	,	PUNCT
fcis-23843	174	7	m.	m.	NOUN
fcis-23843	174	8	,	,	PUNCT
fcis-23843	174	9	wang	wang	PROPN
fcis-23843	174	10	,	,	PUNCT
fcis-23843	174	11	w.	w.	PROPN
fcis-23843	174	12	,	,	PUNCT
fcis-23843	174	13	chaudhry	chaudhry	PROPN
fcis-23843	174	14	,	,	PUNCT
fcis-23843	174	15	n.	n.	NOUN
fcis-23843	174	16	(	(	PUNCT
fcis-23843	174	17	2019	2019	NUM
fcis-23843	174	18	)	)	PUNCT
fcis-23843	174	19	.	.	PUNCT
fcis-23843	175	1	"	"	PUNCT
fcis-23843	175	2	application	application	NOUN
fcis-23843	175	3	of	of	ADP
fcis-23843	175	4	random	random	ADJ
fcis-23843	175	5	forests	forest	NOUN
fcis-23843	175	6	in	in	ADP
fcis-23843	175	7	predicting	predict	VERB
fcis-23843	175	8	epidemiological	epidemiological	ADJ
fcis-23843	175	9	trends	trend	NOUN
fcis-23843	175	10	.	.	PUNCT
fcis-23843	175	11	"	"	PUNCT
fcis-23843	176	1	journal	journal	NOUN
fcis-23843	176	2	of	of	ADP
fcis-23843	176	3	epidemiology	epidemiology	NOUN
fcis-23843	176	4	and	and	CCONJ
fcis-23843	176	5	community	community	NOUN
fcis-23843	176	6	health	health	NOUN
fcis-23843	176	7	,	,	PUNCT
fcis-23843	176	8	73(5	73(5	NUM
fcis-23843	176	9	)	)	PUNCT
fcis-23843	176	10	,	,	PUNCT
fcis-23843	176	11	500505	500505	NUM
fcis-23843	176	12	.	.	PUNCT
fcis-23843	177	1	[	[	X
fcis-23843	177	2	2	2	NUM
fcis-23843	177	3	]	]	X
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