id	sid	tid	token	lemma	pos
bracis-19057	1	1	detecting	detect	VERB
bracis-19057	1	2	early	early	ADJ
bracis-19057	1	3	signs	sign	NOUN
bracis-19057	1	4	of	of	ADP
bracis-19057	1	5	insufficiency	insufficiency	NOUN
bracis-19057	1	6	in	in	ADP
bracis-19057	1	7	covid-19	covid-19	PROPN
bracis-19057	1	8	patients	patient	NOUN
bracis-19057	1	9	from	from	ADP
bracis-19057	1	10	cbc	cbc	PROPN
bracis-19057	1	11	tests	test	NOUN
bracis-19057	1	12	through	through	ADP
bracis-19057	1	13	a	a	DET
bracis-19057	1	14	supervised	supervised	ADJ
bracis-19057	1	15	learning	learning	NOUN
bracis-19057	1	16	approach	approach	NOUN
bracis-19057	1	17	|	|	ADV
bracis-19057	1	18	springer	springer	NOUN
bracis-19057	1	19	nature	nature	PROPN
bracis-19057	1	20	link	link	PROPN
bracis-19057	1	21	(	(	PUNCT
bracis-19057	1	22	formerly	formerly	ADV
bracis-19057	1	23	springerlink	springerlink	NOUN
bracis-19057	1	24	)	)	PUNCT
bracis-19057	1	25	skip	skip	VERB
bracis-19057	1	26	to	to	ADP
bracis-19057	1	27	main	main	ADJ
bracis-19057	1	28	content	content	NOUN
bracis-19057	1	29	advertisement	advertisement	NOUN
bracis-19057	1	30	log	log	NOUN
bracis-19057	1	31	in	in	ADP
bracis-19057	1	32	menu	menu	NOUN
bracis-19057	1	33	find	find	VERB
bracis-19057	1	34	a	a	DET
bracis-19057	1	35	journal	journal	NOUN
bracis-19057	1	36	publish	publish	VERB
bracis-19057	1	37	with	with	ADP
bracis-19057	1	38	us	we	PRON
bracis-19057	1	39	track	track	VERB
bracis-19057	1	40	your	your	PRON
bracis-19057	1	41	research	research	NOUN
bracis-19057	1	42	search	search	NOUN
bracis-19057	1	43	cart	cart	NOUN
bracis-19057	1	44	home	home	NOUN
bracis-19057	1	45	intelligent	intelligent	ADJ
bracis-19057	1	46	systems	system	NOUN
bracis-19057	1	47	conference	conference	NOUN
bracis-19057	1	48	paper	paper	NOUN
bracis-19057	1	49	detecting	detect	VERB
bracis-19057	1	50	early	early	ADJ
bracis-19057	1	51	signs	sign	NOUN
bracis-19057	1	52	of	of	ADP
bracis-19057	1	53	insufficiency	insufficiency	NOUN
bracis-19057	1	54	in	in	ADP
bracis-19057	1	55	covid-19	covid-19	PROPN
bracis-19057	1	56	patients	patient	NOUN
bracis-19057	1	57	from	from	ADP
bracis-19057	1	58	cbc	cbc	PROPN
bracis-19057	1	59	tests	test	NOUN
bracis-19057	1	60	through	through	ADP
bracis-19057	1	61	a	a	DET
bracis-19057	1	62	supervised	supervised	ADJ
bracis-19057	1	63	learning	learning	NOUN
bracis-19057	1	64	approach	approach	NOUN
bracis-19057	1	65	conference	conference	NOUN
bracis-19057	1	66	paper	paper	NOUN
bracis-19057	1	67	first	first	ADV
bracis-19057	1	68	online	online	ADV
bracis-19057	1	69	:	:	PUNCT
bracis-19057	1	70	28	28	NUM
bracis-19057	1	71	november	november	NOUN
bracis-19057	1	72	2021	2021	NUM
bracis-19057	1	73	pp	pp	ADV
bracis-19057	1	74	42–57	42–57	NUM
bracis-19057	1	75	cite	cite	VERB
bracis-19057	1	76	this	this	DET
bracis-19057	1	77	conference	conference	NOUN
bracis-19057	1	78	paper	paper	NOUN
bracis-19057	1	79	access	access	NOUN
bracis-19057	1	80	provided	provide	VERB
bracis-19057	1	81	by	by	ADP
bracis-19057	1	82	university	university	PROPN
bracis-19057	1	83	of	of	ADP
bracis-19057	1	84	notre	notre	PROPN
bracis-19057	1	85	dame	dame	PROPN
bracis-19057	1	86	hesburgh	hesburgh	PROPN
bracis-19057	1	87	library	library	PROPN
bracis-19057	1	88	download	download	PROPN
bracis-19057	1	89	book	book	NOUN
bracis-19057	1	90	pdf	pdf	PROPN
bracis-19057	1	91	download	download	NOUN
bracis-19057	1	92	book	book	NOUN
bracis-19057	1	93	epub	epub	PROPN
bracis-19057	1	94	intelligent	intelligent	ADJ
bracis-19057	1	95	systems	system	NOUN
bracis-19057	1	96	(	(	PUNCT
bracis-19057	1	97	bracis	bracis	NOUN
bracis-19057	1	98	2021	2021	NUM
bracis-19057	1	99	)	)	PUNCT
bracis-19057	1	100	detecting	detect	VERB
bracis-19057	1	101	early	early	ADJ
bracis-19057	1	102	signs	sign	NOUN
bracis-19057	1	103	of	of	ADP
bracis-19057	1	104	insufficiency	insufficiency	NOUN
bracis-19057	1	105	in	in	ADP
bracis-19057	1	106	covid-19	covid-19	PROPN
bracis-19057	1	107	patients	patient	NOUN
bracis-19057	1	108	from	from	ADP
bracis-19057	1	109	cbc	cbc	PROPN
bracis-19057	1	110	tests	test	NOUN
bracis-19057	1	111	through	through	ADP
bracis-19057	1	112	a	a	DET
bracis-19057	1	113	supervised	supervised	ADJ
bracis-19057	1	114	learning	learning	NOUN
bracis-19057	1	115	approach	approach	NOUN
bracis-19057	1	116	download	download	NOUN
bracis-19057	1	117	book	book	NOUN
bracis-19057	1	118	pdf	pdf	PROPN
bracis-19057	1	119	download	download	NOUN
bracis-19057	1	120	book	book	PROPN
bracis-19057	1	121	epub	epub	PROPN
bracis-19057	1	122	tiago	tiago	PROPN
bracis-19057	1	123	colliri	colliri	PROPN
bracis-19057	1	124	  	  	SPACE
bracis-19057	1	125	orcid	orcid	NOUN
bracis-19057	1	126	:	:	PUNCT
bracis-19057	1	127	orcid.org/0000-0001-9233-466210	orcid.org/0000-0001-9233-466210	NOUN
bracis-19057	1	128	,	,	PUNCT
bracis-19057	1	129	marcia	marcia	PROPN
bracis-19057	1	130	minakawa	minakawa	PROPN
bracis-19057	1	131	  	  	SPACE
bracis-19057	1	132	orcid	orcid	PROPN
bracis-19057	1	133	:	:	PUNCT
bracis-19057	1	134	orcid.org/0000-0003-1565-497411	orcid.org/0000-0003-1565-497411	PROPN
bracis-19057	1	135	&	&	CCONJ
bracis-19057	1	136	liang	liang	PROPN
bracis-19057	1	137	zhao	zhao	PROPN
bracis-19057	1	138	  	  	SPACE
bracis-19057	1	139	orcid	orcid	NOUN
bracis-19057	1	140	:	:	PUNCT
bracis-19057	1	141	orcid.org/0000-0002-1502-660412	orcid.org/0000-0002-1502-660412	ADJ
bracis-19057	1	142	  	  	SPACE
bracis-19057	1	143	part	part	NOUN
bracis-19057	1	144	of	of	ADP
bracis-19057	1	145	the	the	DET
bracis-19057	1	146	book	book	NOUN
bracis-19057	1	147	series	series	NOUN
bracis-19057	1	148	:	:	PUNCT
bracis-19057	1	149	lecture	lecture	NOUN
bracis-19057	1	150	notes	note	NOUN
bracis-19057	1	151	in	in	ADP
bracis-19057	1	152	computer	computer	NOUN
bracis-19057	1	153	science	science	NOUN
bracis-19057	1	154	(	(	PUNCT
bracis-19057	1	155	(	(	PUNCT
bracis-19057	1	156	lnai	lnai	ADJ
bracis-19057	1	157	,	,	PUNCT
bracis-19057	1	158	volume	volume	NOUN
bracis-19057	1	159	13074	13074	NUM
bracis-19057	1	160	)	)	PUNCT
bracis-19057	1	161	)	)	PUNCT
bracis-19057	1	162	included	include	VERB
bracis-19057	1	163	in	in	ADP
bracis-19057	1	164	the	the	DET
bracis-19057	1	165	following	follow	VERB
bracis-19057	1	166	conference	conference	NOUN
bracis-19057	1	167	series	series	NOUN
bracis-19057	1	168	:	:	PUNCT
bracis-19057	1	169	brazilian	brazilian	ADJ
bracis-19057	1	170	conference	conference	NOUN
bracis-19057	1	171	on	on	ADP
bracis-19057	1	172	intelligent	intelligent	ADJ
bracis-19057	1	173	systems	system	NOUN
bracis-19057	1	174	1214	1214	NUM
bracis-19057	1	175	accesses	access	NOUN
bracis-19057	1	176	abstract	abstract	ADJ
bracis-19057	1	177	one	one	NUM
bracis-19057	1	178	important	important	ADJ
bracis-19057	1	179	task	task	NOUN
bracis-19057	1	180	in	in	ADP
bracis-19057	1	181	the	the	DET
bracis-19057	1	182	covid-19	covid-19	PROPN
bracis-19057	1	183	clinical	clinical	ADJ
bracis-19057	1	184	protocol	protocol	NOUN
bracis-19057	1	185	involves	involve	VERB
bracis-19057	1	186	the	the	DET
bracis-19057	1	187	constant	constant	ADJ
bracis-19057	1	188	monitoring	monitoring	NOUN
bracis-19057	1	189	of	of	ADP
bracis-19057	1	190	patients	patient	NOUN
bracis-19057	1	191	to	to	PART
bracis-19057	1	192	detect	detect	VERB
bracis-19057	1	193	possible	possible	ADJ
bracis-19057	1	194	signs	sign	NOUN
bracis-19057	1	195	of	of	ADP
bracis-19057	1	196	insufficiency	insufficiency	NOUN
bracis-19057	1	197	,	,	PUNCT
bracis-19057	1	198	which	which	PRON
bracis-19057	1	199	may	may	AUX
bracis-19057	1	200	eventually	eventually	ADV
bracis-19057	1	201	rapidly	rapidly	ADV
bracis-19057	1	202	progress	progress	VERB
bracis-19057	1	203	to	to	ADP
bracis-19057	1	204	hepatic	hepatic	VERB
bracis-19057	1	205	,	,	PUNCT
bracis-19057	1	206	renal	renal	ADJ
bracis-19057	1	207	or	or	CCONJ
bracis-19057	1	208	respiratory	respiratory	ADJ
bracis-19057	1	209	failures	failure	NOUN
bracis-19057	1	210	.	.	PUNCT
bracis-19057	2	1	hence	hence	ADV
bracis-19057	2	2	,	,	PUNCT
bracis-19057	2	3	a	a	DET
bracis-19057	2	4	prompt	prompt	ADJ
bracis-19057	2	5	and	and	CCONJ
bracis-19057	2	6	correct	correct	ADJ
bracis-19057	2	7	clinical	clinical	ADJ
bracis-19057	2	8	decision	decision	NOUN
bracis-19057	2	9	not	not	PART
bracis-19057	2	10	only	only	ADV
bracis-19057	2	11	is	be	AUX
bracis-19057	2	12	critical	critical	ADJ
bracis-19057	2	13	for	for	SCONJ
bracis-19057	2	14	patients	patient	NOUN
bracis-19057	2	15	prognosis	prognosis	VERB
bracis-19057	2	16	,	,	PUNCT
bracis-19057	2	17	but	but	CCONJ
bracis-19057	2	18	also	also	ADV
bracis-19057	2	19	can	can	AUX
bracis-19057	2	20	help	help	VERB
bracis-19057	2	21	when	when	SCONJ
bracis-19057	2	22	making	make	VERB
bracis-19057	2	23	collective	collective	ADJ
bracis-19057	2	24	decisions	decision	NOUN
bracis-19057	2	25	regarding	regard	VERB
bracis-19057	2	26	hospital	hospital	NOUN
bracis-19057	2	27	resource	resource	NOUN
bracis-19057	2	28	management	management	NOUN
bracis-19057	2	29	.	.	PUNCT
bracis-19057	3	1	in	in	ADP
bracis-19057	3	2	this	this	DET
bracis-19057	3	3	work	work	NOUN
bracis-19057	3	4	,	,	PUNCT
bracis-19057	3	5	we	we	PRON
bracis-19057	3	6	present	present	VERB
bracis-19057	3	7	a	a	DET
bracis-19057	3	8	network	network	NOUN
bracis-19057	3	9	-	-	PUNCT
bracis-19057	3	10	based	base	VERB
bracis-19057	3	11	high	high	ADJ
bracis-19057	3	12	-	-	PUNCT
bracis-19057	3	13	level	level	NOUN
bracis-19057	3	14	classification	classification	NOUN
bracis-19057	3	15	technique	technique	NOUN
bracis-19057	3	16	to	to	PART
bracis-19057	3	17	help	help	VERB
bracis-19057	3	18	healthcare	healthcare	NOUN
bracis-19057	3	19	professionals	professional	NOUN
bracis-19057	3	20	on	on	ADP
bracis-19057	3	21	this	this	DET
bracis-19057	3	22	activity	activity	NOUN
bracis-19057	3	23	,	,	PUNCT
bracis-19057	3	24	by	by	ADP
bracis-19057	3	25	detecting	detect	VERB
bracis-19057	3	26	early	early	ADJ
bracis-19057	3	27	signs	sign	NOUN
bracis-19057	3	28	of	of	ADP
bracis-19057	3	29	insufficiency	insufficiency	NOUN
bracis-19057	3	30	based	base	VERB
bracis-19057	3	31	on	on	ADP
bracis-19057	3	32	complete	complete	ADJ
bracis-19057	3	33	blood	blood	NOUN
bracis-19057	3	34	count	count	NOUN
bracis-19057	3	35	(	(	PUNCT
bracis-19057	3	36	cbc	cbc	PROPN
bracis-19057	3	37	)	)	PUNCT
bracis-19057	3	38	test	test	NOUN
bracis-19057	3	39	results	result	NOUN
bracis-19057	3	40	.	.	PUNCT
bracis-19057	4	1	we	we	PRON
bracis-19057	4	2	start	start	VERB
bracis-19057	4	3	by	by	ADP
bracis-19057	4	4	building	build	VERB
bracis-19057	4	5	a	a	DET
bracis-19057	4	6	training	training	NOUN
bracis-19057	4	7	dataset	dataset	NOUN
bracis-19057	4	8	,	,	PUNCT
bracis-19057	4	9	comprising	comprise	VERB
bracis-19057	4	10	both	both	CCONJ
bracis-19057	4	11	cbc	cbc	NOUN
bracis-19057	4	12	and	and	CCONJ
bracis-19057	4	13	specific	specific	ADJ
bracis-19057	4	14	tests	test	NOUN
bracis-19057	4	15	from	from	ADP
bracis-19057	4	16	a	a	DET
bracis-19057	4	17	total	total	NOUN
bracis-19057	4	18	of	of	ADP
bracis-19057	4	19	2,982	2,982	NUM
bracis-19057	4	20	covid-19	covid-19	PROPN
bracis-19057	4	21	patients	patient	NOUN
bracis-19057	4	22	,	,	PUNCT
bracis-19057	4	23	provided	provide	VERB
bracis-19057	4	24	by	by	ADP
bracis-19057	4	25	a	a	DET
bracis-19057	4	26	brazilian	brazilian	ADJ
bracis-19057	4	27	hospital	hospital	NOUN
bracis-19057	4	28	,	,	PUNCT
bracis-19057	4	29	to	to	PART
bracis-19057	4	30	identify	identify	VERB
bracis-19057	4	31	which	which	DET
bracis-19057	4	32	cbc	cbc	NOUN
bracis-19057	4	33	results	result	NOUN
bracis-19057	4	34	are	be	AUX
bracis-19057	4	35	more	more	ADV
bracis-19057	4	36	effective	effective	ADJ
bracis-19057	4	37	to	to	PART
bracis-19057	4	38	be	be	AUX
bracis-19057	4	39	used	use	VERB
bracis-19057	4	40	as	as	ADP
bracis-19057	4	41	biomarkers	biomarker	NOUN
bracis-19057	4	42	for	for	ADP
bracis-19057	4	43	detecting	detect	VERB
bracis-19057	4	44	early	early	ADJ
bracis-19057	4	45	signs	sign	NOUN
bracis-19057	4	46	of	of	ADP
bracis-19057	4	47	insufficiency	insufficiency	NOUN
bracis-19057	4	48	.	.	PUNCT
bracis-19057	5	1	basically	basically	ADV
bracis-19057	5	2	,	,	PUNCT
bracis-19057	5	3	the	the	DET
bracis-19057	5	4	trained	train	VERB
bracis-19057	5	5	classifier	classifier	NOUN
bracis-19057	5	6	measures	measure	VERB
bracis-19057	5	7	the	the	DET
bracis-19057	5	8	compliance	compliance	NOUN
bracis-19057	5	9	of	of	ADP
bracis-19057	5	10	the	the	DET
bracis-19057	5	11	test	test	NOUN
bracis-19057	5	12	instance	instance	NOUN
bracis-19057	5	13	to	to	ADP
bracis-19057	5	14	the	the	DET
bracis-19057	5	15	pattern	pattern	NOUN
bracis-19057	5	16	formation	formation	NOUN
bracis-19057	5	17	of	of	ADP
bracis-19057	5	18	the	the	DET
bracis-19057	5	19	network	network	NOUN
bracis-19057	5	20	constructed	construct	VERB
bracis-19057	5	21	from	from	ADP
bracis-19057	5	22	the	the	DET
bracis-19057	5	23	training	training	NOUN
bracis-19057	5	24	data	datum	NOUN
bracis-19057	5	25	.	.	PUNCT
bracis-19057	6	1	to	to	PART
bracis-19057	6	2	facilitate	facilitate	VERB
bracis-19057	6	3	the	the	DET
bracis-19057	6	4	application	application	NOUN
bracis-19057	6	5	of	of	ADP
bracis-19057	6	6	the	the	DET
bracis-19057	6	7	technique	technique	NOUN
bracis-19057	6	8	on	on	ADP
bracis-19057	6	9	larger	large	ADJ
bracis-19057	6	10	datasets	dataset	NOUN
bracis-19057	6	11	,	,	PUNCT
bracis-19057	6	12	a	a	DET
bracis-19057	6	13	network	network	NOUN
bracis-19057	6	14	reduction	reduction	NOUN
bracis-19057	6	15	option	option	NOUN
bracis-19057	6	16	is	be	AUX
bracis-19057	6	17	also	also	ADV
bracis-19057	6	18	introduced	introduce	VERB
bracis-19057	6	19	and	and	CCONJ
bracis-19057	6	20	tested	test	VERB
bracis-19057	6	21	.	.	PUNCT
bracis-19057	7	1	numerical	numerical	PROPN
bracis-19057	7	2	results	result	NOUN
bracis-19057	7	3	show	show	VERB
bracis-19057	7	4	encouraging	encouraging	ADJ
bracis-19057	7	5	performance	performance	NOUN
bracis-19057	7	6	of	of	ADP
bracis-19057	7	7	our	our	PRON
bracis-19057	7	8	approach	approach	NOUN
bracis-19057	7	9	when	when	SCONJ
bracis-19057	7	10	compared	compare	VERB
bracis-19057	7	11	to	to	ADP
bracis-19057	7	12	traditional	traditional	ADJ
bracis-19057	7	13	techniques	technique	NOUN
bracis-19057	7	14	,	,	PUNCT
bracis-19057	7	15	both	both	PRON
bracis-19057	7	16	on	on	ADP
bracis-19057	7	17	benchmark	benchmark	NOUN
bracis-19057	7	18	datasets	dataset	NOUN
bracis-19057	7	19	and	and	CCONJ
bracis-19057	7	20	on	on	ADP
bracis-19057	7	21	the	the	DET
bracis-19057	7	22	built	build	VERB
bracis-19057	7	23	covid-19	covid-19	PROPN
bracis-19057	7	24	dataset	dataset	NOUN
bracis-19057	7	25	,	,	PUNCT
bracis-19057	7	26	thus	thus	ADV
bracis-19057	7	27	indicating	indicate	VERB
bracis-19057	7	28	that	that	SCONJ
bracis-19057	7	29	the	the	DET
bracis-19057	7	30	proposed	propose	VERB
bracis-19057	7	31	technique	technique	NOUN
bracis-19057	7	32	has	have	VERB
bracis-19057	7	33	potential	potential	NOUN
bracis-19057	7	34	to	to	PART
bracis-19057	7	35	help	help	VERB
bracis-19057	7	36	medical	medical	ADJ
bracis-19057	7	37	workers	worker	NOUN
bracis-19057	7	38	in	in	ADP
bracis-19057	7	39	the	the	DET
bracis-19057	7	40	severity	severity	NOUN
bracis-19057	7	41	assessment	assessment	NOUN
bracis-19057	7	42	of	of	ADP
bracis-19057	7	43	patients	patient	NOUN
bracis-19057	7	44	.	.	PUNCT
bracis-19057	8	1	especially	especially	ADV
bracis-19057	8	2	those	those	PRON
bracis-19057	8	3	who	who	PRON
bracis-19057	8	4	work	work	VERB
bracis-19057	8	5	in	in	ADP
bracis-19057	8	6	regions	region	NOUN
bracis-19057	8	7	with	with	ADP
bracis-19057	8	8	scarce	scarce	ADJ
bracis-19057	8	9	material	material	NOUN
bracis-19057	8	10	resources	resource	NOUN
bracis-19057	8	11	.	.	PUNCT
bracis-19057	9	1	this	this	DET
bracis-19057	9	2	work	work	NOUN
bracis-19057	9	3	was	be	AUX
bracis-19057	9	4	carried	carry	VERB
bracis-19057	9	5	out	out	ADP
bracis-19057	9	6	at	at	ADP
bracis-19057	9	7	the	the	DET
bracis-19057	9	8	center	center	NOUN
bracis-19057	9	9	for	for	ADP
bracis-19057	9	10	artificial	artificial	ADJ
bracis-19057	9	11	intelligence	intelligence	NOUN
bracis-19057	9	12	(	(	PUNCT
bracis-19057	9	13	c4ai	c4ai	NOUN
bracis-19057	9	14	-	-	PUNCT
bracis-19057	9	15	usp	usp	NOUN
bracis-19057	9	16	)	)	PUNCT
bracis-19057	9	17	,	,	PUNCT
bracis-19057	9	18	with	with	ADP
bracis-19057	9	19	support	support	NOUN
bracis-19057	9	20	by	by	ADP
bracis-19057	9	21	the	the	DET
bracis-19057	9	22	são	são	PROPN
bracis-19057	9	23	paulo	paulo	PROPN
bracis-19057	9	24	research	research	PROPN
bracis-19057	9	25	foundation	foundation	PROPN
bracis-19057	9	26	(	(	PUNCT
bracis-19057	9	27	fapesp	fapesp	NOUN
bracis-19057	9	28	)	)	PUNCT
bracis-19057	9	29	under	under	ADP
bracis-19057	9	30	grant	grant	NOUN
bracis-19057	9	31	number	number	NOUN
bracis-19057	9	32	:	:	PUNCT
bracis-19057	9	33	2019/07665	2019/07665	NUM
bracis-19057	9	34	-	-	SYM
bracis-19057	9	35	4	4	NUM
bracis-19057	9	36	and	and	CCONJ
bracis-19057	9	37	by	by	ADP
bracis-19057	9	38	the	the	DET
bracis-19057	9	39	ibm	ibm	PROPN
bracis-19057	9	40	corporation	corporation	NOUN
bracis-19057	9	41	.	.	PUNCT
bracis-19057	10	1	this	this	DET
bracis-19057	10	2	work	work	NOUN
bracis-19057	10	3	is	be	AUX
bracis-19057	10	4	also	also	ADV
bracis-19057	10	5	supported	support	VERB
bracis-19057	10	6	in	in	ADP
bracis-19057	10	7	part	part	NOUN
bracis-19057	10	8	by	by	ADP
bracis-19057	10	9	the	the	DET
bracis-19057	10	10	coordenação	coordenação	PROPN
bracis-19057	10	11	de	de	PROPN
bracis-19057	10	12	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-19057	10	13	de	de	X
bracis-19057	10	14	pessoal	pessoal	PROPN
bracis-19057	10	15	de	de	PROPN
bracis-19057	10	16	nível	nível	PROPN
bracis-19057	10	17	superior	superior	PROPN
bracis-19057	10	18	brasil	brasil	PROPN
bracis-19057	10	19	(	(	PUNCT
bracis-19057	10	20	capes	cape	NOUN
bracis-19057	10	21	)	)	PUNCT
bracis-19057	10	22	finance	finance	NOUN
bracis-19057	10	23	code	code	NOUN
bracis-19057	10	24	001	001	NUM
bracis-19057	10	25	,	,	PUNCT
bracis-19057	10	26	fapesp	fapesp	NOUN
bracis-19057	10	27	under	under	ADP
bracis-19057	10	28	grant	grant	NOUN
bracis-19057	10	29	numbers	number	NOUN
bracis-19057	10	30	2015/50122	2015/50122	NUM
bracis-19057	10	31	-	-	SYM
bracis-19057	10	32	0	0	NUM
bracis-19057	10	33	,	,	PUNCT
bracis-19057	10	34	the	the	DET
bracis-19057	10	35	brazilian	brazilian	ADJ
bracis-19057	10	36	national	national	PROPN
bracis-19057	10	37	council	council	PROPN
bracis-19057	10	38	for	for	ADP
bracis-19057	10	39	scientific	scientific	ADJ
bracis-19057	10	40	and	and	CCONJ
bracis-19057	10	41	technological	technological	ADJ
bracis-19057	10	42	development	development	NOUN
bracis-19057	10	43	(	(	PUNCT
bracis-19057	10	44	cnpq	cnpq	NOUN
bracis-19057	10	45	)	)	PUNCT
bracis-19057	10	46	under	under	ADP
bracis-19057	10	47	grant	grant	NOUN
bracis-19057	10	48	number	number	NOUN
bracis-19057	10	49	303199/2019	303199/2019	NUM
bracis-19057	10	50	-	-	SYM
bracis-19057	10	51	9	9	NUM
bracis-19057	10	52	,	,	PUNCT
bracis-19057	10	53	and	and	CCONJ
bracis-19057	10	54	the	the	DET
bracis-19057	10	55	ministry	ministry	PROPN
bracis-19057	10	56	of	of	ADP
bracis-19057	10	57	science	science	NOUN
bracis-19057	10	58	and	and	CCONJ
bracis-19057	10	59	technology	technology	NOUN
bracis-19057	10	60	of	of	ADP
bracis-19057	10	61	china	china	PROPN
bracis-19057	10	62	under	under	ADP
bracis-19057	10	63	grant	grant	NOUN
bracis-19057	10	64	number	number	NOUN
bracis-19057	10	65	:	:	PUNCT
bracis-19057	10	66	g20200226015	g20200226015	PROPN
bracis-19057	10	67	.	.	PUNCT
bracis-19057	10	68	access	access	NOUN
bracis-19057	10	69	provided	provide	VERB
bracis-19057	10	70	by	by	ADP
bracis-19057	10	71	university	university	PROPN
bracis-19057	10	72	of	of	ADP
bracis-19057	10	73	notre	notre	PROPN
bracis-19057	10	74	dame	dame	PROPN
bracis-19057	10	75	hesburgh	hesburgh	PROPN
bracis-19057	10	76	library	library	PROPN
bracis-19057	10	77	.	.	PUNCT
bracis-19057	11	1	download	download	PROPN
bracis-19057	11	2	conference	conference	NOUN
bracis-19057	11	3	paper	paper	NOUN
bracis-19057	11	4	pdf	pdf	NOUN
bracis-19057	11	5	similar	similar	ADJ
bracis-19057	11	6	content	content	NOUN
bracis-19057	11	7	being	be	AUX
bracis-19057	11	8	viewed	view	VERB
bracis-19057	11	9	by	by	ADP
bracis-19057	11	10	others	other	NOUN
bracis-19057	11	11	online	online	ADV
bracis-19057	11	12	covid-19	covid-19	PROPN
bracis-19057	11	13	diagnosis	diagnosis	NOUN
bracis-19057	11	14	prediction	prediction	NOUN
bracis-19057	11	15	using	use	VERB
bracis-19057	11	16	complete	complete	ADJ
bracis-19057	11	17	blood	blood	NOUN
bracis-19057	11	18	count	count	NOUN
bracis-19057	11	19	:	:	PUNCT
bracis-19057	11	20	an	an	DET
bracis-19057	11	21	innovative	innovative	ADJ
bracis-19057	11	22	tool	tool	NOUN
bracis-19057	11	23	for	for	ADP
bracis-19057	11	24	public	public	ADJ
bracis-19057	11	25	health	health	NOUN
bracis-19057	11	26	article	article	NOUN
bracis-19057	11	27	open	open	VERB
bracis-19057	11	28	access	access	NOUN
bracis-19057	11	29	19	19	NUM
bracis-19057	11	30	december	december	PROPN
bracis-19057	11	31	2023	2023	NUM
bracis-19057	11	32	external	external	ADJ
bracis-19057	11	33	validation	validation	NOUN
bracis-19057	11	34	of	of	ADP
bracis-19057	11	35	machine	machine	NOUN
bracis-19057	11	36	learning	learning	NOUN
bracis-19057	11	37	models	model	NOUN
bracis-19057	11	38	for	for	ADP
bracis-19057	11	39	covid-19	covid-19	PROPN
bracis-19057	11	40	detection	detection	NOUN
bracis-19057	11	41	based	base	VERB
bracis-19057	11	42	on	on	ADP
bracis-19057	11	43	complete	complete	ADJ
bracis-19057	11	44	blood	blood	NOUN
bracis-19057	11	45	count	count	NOUN
bracis-19057	11	46	article	article	NOUN
bracis-19057	11	47	open	open	VERB
bracis-19057	11	48	access	access	NOUN
bracis-19057	11	49	23	23	NUM
bracis-19057	11	50	october	october	NOUN
bracis-19057	11	51	2021	2021	NUM
bracis-19057	11	52	predicting	predict	VERB
bracis-19057	11	53	the	the	DET
bracis-19057	11	54	outcome	outcome	NOUN
bracis-19057	11	55	for	for	ADP
bracis-19057	11	56	covid-19	covid-19	PROPN
bracis-19057	11	57	patients	patient	NOUN
bracis-19057	11	58	by	by	ADP
bracis-19057	11	59	applying	apply	VERB
bracis-19057	11	60	time	time	NOUN
bracis-19057	11	61	series	series	PROPN
bracis-19057	11	62	classification	classification	NOUN
bracis-19057	11	63	to	to	ADP
bracis-19057	11	64	electronic	electronic	ADJ
bracis-19057	11	65	health	health	NOUN
bracis-19057	11	66	records	record	NOUN
bracis-19057	11	67	article	article	NOUN
bracis-19057	11	68	open	open	VERB
bracis-19057	11	69	access	access	NOUN
bracis-19057	11	70	17	17	NUM
bracis-19057	11	71	july	july	PROPN
bracis-19057	11	72	2022	2022	NUM
bracis-19057	11	73	explore	explore	VERB
bracis-19057	11	74	related	relate	VERB
bracis-19057	11	75	subjects	subject	NOUN
bracis-19057	11	76	discover	discover	VERB
bracis-19057	11	77	the	the	DET
bracis-19057	11	78	latest	late	ADJ
bracis-19057	11	79	articles	article	NOUN
bracis-19057	11	80	,	,	PUNCT
bracis-19057	11	81	books	book	NOUN
bracis-19057	11	82	and	and	CCONJ
bracis-19057	11	83	news	news	NOUN
bracis-19057	11	84	in	in	ADP
bracis-19057	11	85	related	related	ADJ
bracis-19057	11	86	subjects	subject	NOUN
bracis-19057	11	87	,	,	PUNCT
bracis-19057	11	88	suggested	suggest	VERB
bracis-19057	11	89	using	use	VERB
bracis-19057	11	90	machine	machine	NOUN
bracis-19057	11	91	learning	learning	NOUN
bracis-19057	11	92	.	.	PUNCT
bracis-19057	12	1	covid19	covid19	PROPN
bracis-19057	12	2	data	data	PROPN
bracis-19057	12	3	mining	mining	NOUN
bracis-19057	12	4	diagnosis	diagnosis	NOUN
bracis-19057	12	5	laboratory	laboratory	PROPN
bracis-19057	12	6	medical	medical	ADJ
bracis-19057	12	7	diagnosis	diagnosis	NOUN
bracis-19057	12	8	machine	machine	NOUN
bracis-19057	12	9	learning	learn	VERB
bracis-19057	12	10	statistical	statistical	ADJ
bracis-19057	12	11	learning	learn	VERB
bracis-19057	12	12	1	1	NUM
bracis-19057	12	13	introduction	introduction	NOUN
bracis-19057	12	14	since	since	SCONJ
bracis-19057	12	15	the	the	DET
bracis-19057	12	16	covid-19	covid-19	PROPN
bracis-19057	12	17	outbreak	outbreak	NOUN
bracis-19057	12	18	,	,	PUNCT
bracis-19057	12	19	advanced	advanced	ADJ
bracis-19057	12	20	machine	machine	NOUN
bracis-19057	12	21	learning	learn	VERB
bracis-19057	12	22	techniques	technique	NOUN
bracis-19057	12	23	have	have	AUX
bracis-19057	12	24	been	be	AUX
bracis-19057	12	25	applied	apply	VERB
bracis-19057	12	26	in	in	ADP
bracis-19057	12	27	the	the	DET
bracis-19057	12	28	development	development	NOUN
bracis-19057	12	29	of	of	ADP
bracis-19057	12	30	clinical	clinical	ADJ
bracis-19057	12	31	decision	decision	NOUN
bracis-19057	12	32	support	support	NOUN
bracis-19057	12	33	tools	tool	NOUN
bracis-19057	12	34	,	,	PUNCT
bracis-19057	12	35	to	to	PART
bracis-19057	12	36	help	help	VERB
bracis-19057	12	37	medical	medical	ADJ
bracis-19057	12	38	workers	worker	NOUN
bracis-19057	12	39	on	on	ADP
bracis-19057	12	40	guiding	guide	VERB
bracis-19057	12	41	the	the	DET
bracis-19057	12	42	monitoring	monitoring	NOUN
bracis-19057	12	43	and	and	CCONJ
bracis-19057	12	44	treatment	treatment	NOUN
bracis-19057	12	45	of	of	ADP
bracis-19057	12	46	affected	affected	ADJ
bracis-19057	12	47	patients	patient	NOUN
bracis-19057	12	48	.	.	PUNCT
bracis-19057	13	1	examples	example	NOUN
bracis-19057	13	2	of	of	ADP
bracis-19057	13	3	these	these	DET
bracis-19057	13	4	studies	study	NOUN
bracis-19057	13	5	include	include	VERB
bracis-19057	13	6	the	the	DET
bracis-19057	13	7	automation	automation	NOUN
bracis-19057	13	8	and	and	CCONJ
bracis-19057	13	9	introduction	introduction	NOUN
bracis-19057	13	10	of	of	ADP
bracis-19057	13	11	new	new	ADJ
bracis-19057	13	12	methods	method	NOUN
bracis-19057	13	13	for	for	ADP
bracis-19057	13	14	routine	routine	ADJ
bracis-19057	13	15	medical	medical	ADJ
bracis-19057	13	16	activities	activity	NOUN
bracis-19057	13	17	,	,	PUNCT
bracis-19057	13	18	such	such	ADJ
bracis-19057	13	19	as	as	ADP
bracis-19057	13	20	:	:	PUNCT
bracis-19057	13	21	the	the	DET
bracis-19057	13	22	analysis	analysis	NOUN
bracis-19057	13	23	of	of	ADP
bracis-19057	13	24	computed	computed	ADJ
bracis-19057	13	25	tomography	tomography	NOUN
bracis-19057	13	26	(	(	PUNCT
bracis-19057	13	27	ct	ct	NOUN
bracis-19057	13	28	)	)	PUNCT
bracis-19057	13	29	images	image	NOUN
bracis-19057	13	30	[	[	X
bracis-19057	13	31	21	21	NUM
bracis-19057	13	32	]	]	X
bracis-19057	13	33	,	,	PUNCT
bracis-19057	13	34	covid-19	covid-19	PROPN
bracis-19057	13	35	diagnosis	diagnosis	NOUN
bracis-19057	13	36	and	and	CCONJ
bracis-19057	13	37	screening	screen	VERB
bracis-19057	13	38	[	[	X
bracis-19057	13	39	27	27	NUM
bracis-19057	13	40	]	]	PUNCT
bracis-19057	13	41	,	,	PUNCT
bracis-19057	13	42	detection	detection	NOUN
bracis-19057	13	43	of	of	ADP
bracis-19057	13	44	new	new	ADJ
bracis-19057	13	45	viral	viral	ADJ
bracis-19057	13	46	species	specie	NOUN
bracis-19057	13	47	and	and	CCONJ
bracis-19057	13	48	subspecies	subspecie	NOUN
bracis-19057	13	49	[	[	X
bracis-19057	13	50	15	15	NUM
bracis-19057	13	51	]	]	PUNCT
bracis-19057	13	52	,	,	PUNCT
bracis-19057	13	53	medication	medication	NOUN
bracis-19057	13	54	[	[	X
bracis-19057	13	55	2	2	NUM
bracis-19057	13	56	]	]	PUNCT
bracis-19057	13	57	,	,	PUNCT
bracis-19057	13	58	and	and	CCONJ
bracis-19057	13	59	patients	patient	NOUN
bracis-19057	13	60	monitoring	monitor	VERB
bracis-19057	13	61	through	through	ADP
bracis-19057	13	62	biomarkers	biomarker	NOUN
bracis-19057	13	63	,	,	PUNCT
bracis-19057	13	64	such	such	ADJ
bracis-19057	13	65	as	as	ADP
bracis-19057	13	66	the	the	DET
bracis-19057	13	67	ones	one	NOUN
bracis-19057	13	68	provided	provide	VERB
bracis-19057	13	69	by	by	ADP
bracis-19057	13	70	blood	blood	NOUN
bracis-19057	13	71	samples	sample	NOUN
bracis-19057	14	1	[	[	X
bracis-19057	14	2	26	26	NUM
bracis-19057	14	3	]	]	PUNCT
bracis-19057	14	4	.	.	PUNCT
bracis-19057	15	1	when	when	SCONJ
bracis-19057	15	2	a	a	DET
bracis-19057	15	3	new	new	ADJ
bracis-19057	15	4	covid-19	covid-19	PROPN
bracis-19057	15	5	case	case	NOUN
bracis-19057	15	6	is	be	AUX
bracis-19057	15	7	confirmed	confirm	VERB
bracis-19057	15	8	,	,	PUNCT
bracis-19057	15	9	the	the	DET
bracis-19057	15	10	clinical	clinical	ADJ
bracis-19057	15	11	protocol	protocol	NOUN
bracis-19057	15	12	involves	involve	VERB
bracis-19057	15	13	an	an	DET
bracis-19057	15	14	initial	initial	ADJ
bracis-19057	15	15	assessment	assessment	NOUN
bracis-19057	15	16	,	,	PUNCT
bracis-19057	15	17	made	make	VERB
bracis-19057	15	18	by	by	ADP
bracis-19057	15	19	healthcare	healthcare	NOUN
bracis-19057	15	20	professionals	professional	NOUN
bracis-19057	15	21	,	,	PUNCT
bracis-19057	15	22	to	to	PART
bracis-19057	15	23	classify	classify	VERB
bracis-19057	15	24	its	its	PRON
bracis-19057	15	25	severity	severity	NOUN
bracis-19057	15	26	as	as	ADP
bracis-19057	15	27	mild	mild	ADJ
bracis-19057	15	28	,	,	PUNCT
bracis-19057	15	29	moderate	moderate	ADJ
bracis-19057	15	30	or	or	CCONJ
bracis-19057	15	31	grave	grave	ADJ
bracis-19057	15	32	,	,	PUNCT
bracis-19057	15	33	followed	follow	VERB
bracis-19057	15	34	by	by	ADP
bracis-19057	15	35	a	a	DET
bracis-19057	15	36	monitoring	monitoring	NOUN
bracis-19057	15	37	activity	activity	NOUN
bracis-19057	15	38	to	to	PART
bracis-19057	15	39	evaluate	evaluate	VERB
bracis-19057	15	40	the	the	DET
bracis-19057	15	41	progression	progression	NOUN
bracis-19057	15	42	of	of	ADP
bracis-19057	15	43	the	the	DET
bracis-19057	15	44	disease	disease	NOUN
bracis-19057	15	45	[	[	X
bracis-19057	15	46	20	20	NUM
bracis-19057	15	47	]	]	PUNCT
bracis-19057	15	48	.	.	PUNCT
bracis-19057	16	1	this	this	DET
bracis-19057	16	2	procedure	procedure	NOUN
bracis-19057	16	3	,	,	PUNCT
bracis-19057	16	4	although	although	SCONJ
bracis-19057	16	5	it	it	PRON
bracis-19057	16	6	may	may	AUX
bracis-19057	16	7	slightly	slightly	ADV
bracis-19057	16	8	vary	vary	VERB
bracis-19057	16	9	,	,	PUNCT
bracis-19057	16	10	depending	depend	VERB
bracis-19057	16	11	on	on	ADP
bracis-19057	16	12	the	the	DET
bracis-19057	16	13	region	region	NOUN
bracis-19057	16	14	,	,	PUNCT
bracis-19057	16	15	usually	usually	ADV
bracis-19057	16	16	includes	include	VERB
bracis-19057	16	17	specific	specific	ADJ
bracis-19057	16	18	tests	test	NOUN
bracis-19057	16	19	,	,	PUNCT
bracis-19057	16	20	such	such	ADJ
bracis-19057	16	21	as	as	ADP
bracis-19057	16	22	creatinine	creatinine	NOUN
bracis-19057	16	23	,	,	PUNCT
bracis-19057	16	24	lactic	lactic	ADJ
bracis-19057	16	25	dehydrogenase	dehydrogenase	NOUN
bracis-19057	16	26	and	and	CCONJ
bracis-19057	16	27	blood	blood	NOUN
bracis-19057	16	28	urea	urea	NOUN
bracis-19057	16	29	nitrogen	nitrogen	NOUN
bracis-19057	16	30	,	,	PUNCT
bracis-19057	16	31	as	as	ADV
bracis-19057	16	32	well	well	ADV
bracis-19057	16	33	as	as	ADP
bracis-19057	16	34	a	a	DET
bracis-19057	16	35	complete	complete	ADJ
bracis-19057	16	36	blood	blood	NOUN
bracis-19057	16	37	count	count	NOUN
bracis-19057	16	38	(	(	PUNCT
bracis-19057	16	39	cbc	cbc	PROPN
bracis-19057	16	40	)	)	PUNCT
bracis-19057	16	41	,	,	PUNCT
bracis-19057	16	42	which	which	PRON
bracis-19057	16	43	is	be	AUX
bracis-19057	16	44	a	a	DET
bracis-19057	16	45	series	series	NOUN
bracis-19057	16	46	of	of	ADP
bracis-19057	16	47	tests	test	NOUN
bracis-19057	16	48	used	use	VERB
bracis-19057	16	49	to	to	PART
bracis-19057	16	50	evaluate	evaluate	VERB
bracis-19057	16	51	the	the	DET
bracis-19057	16	52	composition	composition	NOUN
bracis-19057	16	53	and	and	CCONJ
bracis-19057	16	54	concentration	concentration	NOUN
bracis-19057	16	55	of	of	ADP
bracis-19057	16	56	cellular	cellular	ADJ
bracis-19057	16	57	components	component	NOUN
bracis-19057	16	58	in	in	ADP
bracis-19057	16	59	the	the	DET
bracis-19057	16	60	blood	blood	NOUN
bracis-19057	16	61	.	.	PUNCT
bracis-19057	17	1	such	such	ADJ
bracis-19057	17	2	type	type	NOUN
bracis-19057	17	3	of	of	ADP
bracis-19057	17	4	testing	testing	NOUN
bracis-19057	17	5	,	,	PUNCT
bracis-19057	17	6	as	as	ADP
bracis-19057	17	7	the	the	DET
bracis-19057	17	8	cbc	cbc	NOUN
bracis-19057	17	9	,	,	PUNCT
bracis-19057	17	10	is	be	AUX
bracis-19057	17	11	widely	widely	ADV
bracis-19057	17	12	used	use	VERB
bracis-19057	17	13	because	because	SCONJ
bracis-19057	17	14	it	it	PRON
bracis-19057	17	15	can	can	AUX
bracis-19057	17	16	be	be	AUX
bracis-19057	17	17	easily	easily	ADV
bracis-19057	17	18	collected	collect	VERB
bracis-19057	17	19	at	at	ADP
bracis-19057	17	20	any	any	DET
bracis-19057	17	21	place	place	NOUN
bracis-19057	17	22	,	,	PUNCT
bracis-19057	17	23	even	even	ADV
bracis-19057	17	24	in	in	ADP
bracis-19057	17	25	situations	situation	NOUN
bracis-19057	17	26	of	of	ADP
bracis-19057	17	27	medical	medical	ADJ
bracis-19057	17	28	resource	resource	NOUN
bracis-19057	17	29	scarcity	scarcity	NOUN
bracis-19057	17	30	.	.	PUNCT
bracis-19057	18	1	moreover	moreover	ADV
bracis-19057	18	2	,	,	PUNCT
bracis-19057	18	3	it	it	PRON
bracis-19057	18	4	is	be	AUX
bracis-19057	18	5	usually	usually	ADV
bracis-19057	18	6	processed	process	VERB
bracis-19057	18	7	in	in	ADP
bracis-19057	18	8	a	a	DET
bracis-19057	18	9	matter	matter	NOUN
bracis-19057	18	10	of	of	ADP
bracis-19057	18	11	minutes	minute	NOUN
bracis-19057	18	12	,	,	PUNCT
bracis-19057	18	13	up	up	ADV
bracis-19057	18	14	 	 	SPACE
bracis-19057	18	15	to	to	ADP
bracis-19057	18	16	two	two	NUM
bracis-19057	18	17	hours	hour	NOUN
bracis-19057	18	18	.	.	PUNCT
bracis-19057	19	1	therefore	therefore	ADV
bracis-19057	19	2	,	,	PUNCT
bracis-19057	19	3	it	it	PRON
bracis-19057	19	4	is	be	AUX
bracis-19057	19	5	considered	consider	VERB
bracis-19057	19	6	as	as	ADP
bracis-19057	19	7	a	a	DET
bracis-19057	19	8	fast	fast	ADJ
bracis-19057	19	9	,	,	PUNCT
bracis-19057	19	10	low	low	ADJ
bracis-19057	19	11	-	-	PUNCT
bracis-19057	19	12	cost	cost	NOUN
bracis-19057	19	13	and	and	CCONJ
bracis-19057	19	14	reliable	reliable	ADJ
bracis-19057	19	15	resource	resource	NOUN
bracis-19057	19	16	to	to	PART
bracis-19057	19	17	assess	assess	VERB
bracis-19057	19	18	the	the	DET
bracis-19057	19	19	patient	patient	NOUN
bracis-19057	19	20	’s	’s	PART
bracis-19057	19	21	overall	overall	ADJ
bracis-19057	19	22	conditions	condition	NOUN
bracis-19057	19	23	.	.	PUNCT
bracis-19057	20	1	during	during	ADP
bracis-19057	20	2	the	the	DET
bracis-19057	20	3	monitoring	monitoring	NOUN
bracis-19057	20	4	process	process	NOUN
bracis-19057	20	5	,	,	PUNCT
bracis-19057	20	6	healthcare	healthcare	PROPN
bracis-19057	20	7	professionals	professional	NOUN
bracis-19057	20	8	then	then	ADV
bracis-19057	20	9	need	need	VERB
bracis-19057	20	10	to	to	PART
bracis-19057	20	11	decide	decide	VERB
bracis-19057	20	12	whether	whether	SCONJ
bracis-19057	20	13	to	to	PART
bracis-19057	20	14	order	order	VERB
bracis-19057	20	15	complementary	complementary	ADJ
bracis-19057	20	16	tests	test	NOUN
bracis-19057	20	17	for	for	ADP
bracis-19057	20	18	detecting	detect	VERB
bracis-19057	20	19	possible	possible	ADJ
bracis-19057	20	20	signs	sign	NOUN
bracis-19057	20	21	of	of	ADP
bracis-19057	20	22	hepatic	hepatic	NOUN
bracis-19057	20	23	,	,	PUNCT
bracis-19057	20	24	renal	renal	ADJ
bracis-19057	20	25	or	or	CCONJ
bracis-19057	20	26	respiratory	respiratory	ADJ
bracis-19057	20	27	insufficiency	insufficiency	NOUN
bracis-19057	20	28	.	.	PUNCT
bracis-19057	21	1	considering	consider	VERB
bracis-19057	21	2	that	that	SCONJ
bracis-19057	21	3	progressive	progressive	ADJ
bracis-19057	21	4	respiratory	respiratory	ADJ
bracis-19057	21	5	failure	failure	NOUN
bracis-19057	21	6	is	be	AUX
bracis-19057	21	7	the	the	DET
bracis-19057	21	8	primary	primary	ADJ
bracis-19057	21	9	cause	cause	NOUN
bracis-19057	21	10	of	of	ADP
bracis-19057	21	11	death	death	NOUN
bracis-19057	21	12	from	from	ADP
bracis-19057	21	13	covid-19	covid-19	PROPN
bracis-19057	21	14	,	,	PUNCT
bracis-19057	21	15	this	this	DET
bracis-19057	21	16	monitoring	monitoring	NOUN
bracis-19057	21	17	activity	activity	NOUN
bracis-19057	21	18	hence	hence	ADV
bracis-19057	21	19	is	be	AUX
bracis-19057	21	20	critical	critical	ADJ
bracis-19057	21	21	for	for	ADP
bracis-19057	21	22	the	the	DET
bracis-19057	21	23	patient	patient	NOUN
bracis-19057	21	24	.	.	PUNCT
bracis-19057	22	1	however	however	ADV
bracis-19057	22	2	,	,	PUNCT
bracis-19057	22	3	we	we	PRON
bracis-19057	22	4	must	must	AUX
bracis-19057	22	5	face	face	VERB
bracis-19057	22	6	the	the	DET
bracis-19057	22	7	problem	problem	NOUN
bracis-19057	22	8	that	that	SCONJ
bracis-19057	22	9	such	such	ADJ
bracis-19057	22	10	complementary	complementary	ADJ
bracis-19057	22	11	tests	test	NOUN
bracis-19057	22	12	incur	incur	VERB
bracis-19057	22	13	high	high	ADJ
bracis-19057	22	14	costs	cost	NOUN
bracis-19057	22	15	,	,	PUNCT
bracis-19057	22	16	and	and	CCONJ
bracis-19057	22	17	may	may	AUX
bracis-19057	22	18	not	not	PART
bracis-19057	22	19	be	be	AUX
bracis-19057	22	20	available	available	ADJ
bracis-19057	22	21	in	in	ADP
bracis-19057	22	22	some	some	DET
bracis-19057	22	23	specific	specific	ADJ
bracis-19057	22	24	places	place	NOUN
bracis-19057	22	25	due	due	ADP
bracis-19057	22	26	to	to	ADP
bracis-19057	22	27	scarcity	scarcity	NOUN
bracis-19057	22	28	of	of	ADP
bracis-19057	22	29	material	material	NOUN
bracis-19057	22	30	and	and	CCONJ
bracis-19057	22	31	human	human	ADJ
bracis-19057	22	32	resources	resource	NOUN
bracis-19057	22	33	.	.	PUNCT
bracis-19057	23	1	in	in	ADP
bracis-19057	23	2	this	this	DET
bracis-19057	23	3	study	study	NOUN
bracis-19057	23	4	,	,	PUNCT
bracis-19057	23	5	we	we	PRON
bracis-19057	23	6	present	present	VERB
bracis-19057	23	7	a	a	DET
bracis-19057	23	8	technique	technique	NOUN
bracis-19057	23	9	that	that	PRON
bracis-19057	23	10	may	may	AUX
bracis-19057	23	11	assist	assist	VERB
bracis-19057	23	12	medical	medical	ADJ
bracis-19057	23	13	professionals	professional	NOUN
bracis-19057	23	14	on	on	ADP
bracis-19057	23	15	this	this	DET
bracis-19057	23	16	monitoring	monitoring	NOUN
bracis-19057	23	17	activity	activity	NOUN
bracis-19057	23	18	,	,	PUNCT
bracis-19057	23	19	by	by	ADP
bracis-19057	23	20	detecting	detect	VERB
bracis-19057	23	21	early	early	ADJ
bracis-19057	23	22	signs	sign	NOUN
bracis-19057	23	23	of	of	ADP
bracis-19057	23	24	insufficiency	insufficiency	NOUN
bracis-19057	23	25	in	in	ADP
bracis-19057	23	26	covid-19	covid-19	PROPN
bracis-19057	23	27	patients	patient	NOUN
bracis-19057	23	28	solely	solely	ADV
bracis-19057	23	29	based	base	VERB
bracis-19057	23	30	on	on	ADP
bracis-19057	23	31	cbc	cbc	PROPN
bracis-19057	23	32	test	test	NOUN
bracis-19057	23	33	results	result	NOUN
bracis-19057	23	34	.	.	PUNCT
bracis-19057	24	1	specifically	specifically	ADV
bracis-19057	24	2	,	,	PUNCT
bracis-19057	24	3	our	our	PRON
bracis-19057	24	4	approach	approach	NOUN
bracis-19057	24	5	can	can	AUX
bracis-19057	24	6	help	help	VERB
bracis-19057	24	7	to	to	PART
bracis-19057	24	8	identify	identify	VERB
bracis-19057	24	9	the	the	DET
bracis-19057	24	10	level	level	NOUN
bracis-19057	24	11	of	of	ADP
bracis-19057	24	12	risk	risk	NOUN
bracis-19057	24	13	and	and	CCONJ
bracis-19057	24	14	the	the	DET
bracis-19057	24	15	type	type	NOUN
bracis-19057	24	16	of	of	ADP
bracis-19057	24	17	insufficiency	insufficiency	NOUN
bracis-19057	24	18	for	for	ADP
bracis-19057	24	19	each	each	DET
bracis-19057	24	20	patient	patient	NOUN
bracis-19057	24	21	.	.	PUNCT
bracis-19057	25	1	we	we	PRON
bracis-19057	25	2	start	start	VERB
bracis-19057	25	3	by	by	ADP
bracis-19057	25	4	building	build	VERB
bracis-19057	25	5	a	a	DET
bracis-19057	25	6	training	training	NOUN
bracis-19057	25	7	dataset	dataset	NOUN
bracis-19057	25	8	comprising	comprising	NOUN
bracis-19057	25	9	results	result	NOUN
bracis-19057	25	10	from	from	ADP
bracis-19057	25	11	both	both	CCONJ
bracis-19057	25	12	cbc	cbc	NOUN
bracis-19057	25	13	and	and	CCONJ
bracis-19057	25	14	specific	specific	ADJ
bracis-19057	25	15	tests	test	NOUN
bracis-19057	25	16	used	use	VERB
bracis-19057	25	17	to	to	PART
bracis-19057	25	18	detect	detect	VERB
bracis-19057	25	19	signs	sign	NOUN
bracis-19057	25	20	of	of	ADP
bracis-19057	25	21	hepatic	hepatic	NOUN
bracis-19057	25	22	,	,	PUNCT
bracis-19057	25	23	renal	renal	ADJ
bracis-19057	25	24	and	and	CCONJ
bracis-19057	25	25	respiratory	respiratory	ADJ
bracis-19057	25	26	insufficiency	insufficiency	NOUN
bracis-19057	25	27	,	,	PUNCT
bracis-19057	25	28	from	from	ADP
bracis-19057	25	29	a	a	DET
bracis-19057	25	30	total	total	NOUN
bracis-19057	25	31	of	of	ADP
bracis-19057	25	32	2,982	2,982	NUM
bracis-19057	25	33	covid-19	covid-19	PROPN
bracis-19057	25	34	patients	patient	NOUN
bracis-19057	25	35	,	,	PUNCT
bracis-19057	25	36	who	who	PRON
bracis-19057	25	37	received	receive	VERB
bracis-19057	25	38	treatment	treatment	NOUN
bracis-19057	25	39	in	in	ADP
bracis-19057	25	40	the	the	DET
bracis-19057	25	41	israelite	israelite	PROPN
bracis-19057	25	42	albert	albert	PROPN
bracis-19057	25	43	einstein	einstein	PROPN
bracis-19057	25	44	hospital	hospital	PROPN
bracis-19057	25	45	,	,	PUNCT
bracis-19057	25	46	from	from	ADP
bracis-19057	25	47	sao	sao	PROPN
bracis-19057	25	48	paulo	paulo	PROPN
bracis-19057	25	49	,	,	PUNCT
bracis-19057	25	50	brazil	brazil	PROPN
bracis-19057	26	1	[	[	X
bracis-19057	26	2	10	10	NUM
bracis-19057	26	3	]	]	PUNCT
bracis-19057	26	4	.	.	PUNCT
bracis-19057	27	1	in	in	ADP
bracis-19057	27	2	this	this	DET
bracis-19057	27	3	process	process	NOUN
bracis-19057	27	4	,	,	PUNCT
bracis-19057	27	5	we	we	PRON
bracis-19057	27	6	identify	identify	VERB
bracis-19057	27	7	which	which	PRON
bracis-19057	27	8	cbc	cbc	NOUN
bracis-19057	27	9	tests	test	NOUN
bracis-19057	27	10	are	be	AUX
bracis-19057	27	11	more	more	ADV
bracis-19057	27	12	effective	effective	ADJ
bracis-19057	27	13	to	to	PART
bracis-19057	27	14	be	be	AUX
bracis-19057	27	15	used	use	VERB
bracis-19057	27	16	as	as	ADP
bracis-19057	27	17	biomarkers	biomarker	NOUN
bracis-19057	27	18	to	to	PART
bracis-19057	27	19	detect	detect	VERB
bracis-19057	27	20	signs	sign	NOUN
bracis-19057	27	21	from	from	ADP
bracis-19057	27	22	each	each	DET
bracis-19057	27	23	type	type	NOUN
bracis-19057	27	24	of	of	ADP
bracis-19057	27	25	insufficiency	insufficiency	NOUN
bracis-19057	27	26	.	.	PUNCT
bracis-19057	28	1	the	the	DET
bracis-19057	28	2	dataset	dataset	NOUN
bracis-19057	28	3	resulting	result	VERB
bracis-19057	28	4	from	from	ADP
bracis-19057	28	5	this	this	DET
bracis-19057	28	6	analysis	analysis	NOUN
bracis-19057	28	7	is	be	AUX
bracis-19057	28	8	then	then	ADV
bracis-19057	28	9	delivered	deliver	VERB
bracis-19057	28	10	to	to	ADP
bracis-19057	28	11	a	a	DET
bracis-19057	28	12	modified	modify	VERB
bracis-19057	28	13	network	network	NOUN
bracis-19057	28	14	-	-	PUNCT
bracis-19057	28	15	based	base	VERB
bracis-19057	28	16	high	high	ADJ
bracis-19057	28	17	-	-	PUNCT
bracis-19057	28	18	level	level	NOUN
bracis-19057	28	19	classification	classification	NOUN
bracis-19057	28	20	technique	technique	NOUN
bracis-19057	28	21	,	,	PUNCT
bracis-19057	28	22	also	also	ADV
bracis-19057	28	23	introduced	introduce	VERB
bracis-19057	28	24	in	in	ADP
bracis-19057	28	25	this	this	DET
bracis-19057	28	26	study	study	NOUN
bracis-19057	28	27	.	.	PUNCT
bracis-19057	29	1	the	the	DET
bracis-19057	29	2	obtained	obtain	VERB
bracis-19057	29	3	results	result	NOUN
bracis-19057	29	4	present	present	VERB
bracis-19057	29	5	competitive	competitive	ADJ
bracis-19057	29	6	performance	performance	NOUN
bracis-19057	29	7	of	of	ADP
bracis-19057	29	8	the	the	DET
bracis-19057	29	9	proposed	propose	VERB
bracis-19057	29	10	technique	technique	NOUN
bracis-19057	29	11	compared	compare	VERB
bracis-19057	29	12	to	to	ADP
bracis-19057	29	13	classic	classic	ADJ
bracis-19057	29	14	and	and	CCONJ
bracis-19057	29	15	state	state	NOUN
bracis-19057	29	16	-	-	PUNCT
bracis-19057	29	17	of	of	ADP
bracis-19057	29	18	-	-	PUNCT
bracis-19057	29	19	the	the	DET
bracis-19057	29	20	-	-	PUNCT
bracis-19057	29	21	art	art	NOUN
bracis-19057	29	22	ones	one	NOUN
bracis-19057	29	23	,	,	PUNCT
bracis-19057	29	24	both	both	PRON
bracis-19057	29	25	on	on	ADP
bracis-19057	29	26	benchmark	benchmark	NOUN
bracis-19057	29	27	classification	classification	NOUN
bracis-19057	29	28	datasets	dataset	NOUN
bracis-19057	29	29	and	and	CCONJ
bracis-19057	29	30	on	on	ADP
bracis-19057	29	31	the	the	DET
bracis-19057	29	32	built	build	VERB
bracis-19057	29	33	covid-19	covid-19	PROPN
bracis-19057	29	34	dataset	dataset	NOUN
bracis-19057	29	35	.	.	PUNCT
bracis-19057	30	1	real	real	ADJ
bracis-19057	30	2	-	-	PUNCT
bracis-19057	30	3	world	world	NOUN
bracis-19057	30	4	datasets	dataset	NOUN
bracis-19057	30	5	usually	usually	ADV
bracis-19057	30	6	contain	contain	VERB
bracis-19057	30	7	complex	complex	ADJ
bracis-19057	30	8	and	and	CCONJ
bracis-19057	30	9	organizational	organizational	ADJ
bracis-19057	30	10	patterns	pattern	NOUN
bracis-19057	30	11	beyond	beyond	ADP
bracis-19057	30	12	the	the	DET
bracis-19057	30	13	physical	physical	ADJ
bracis-19057	30	14	features	feature	NOUN
bracis-19057	30	15	(	(	PUNCT
bracis-19057	30	16	similarity	similarity	NOUN
bracis-19057	30	17	,	,	PUNCT
bracis-19057	30	18	distance	distance	NOUN
bracis-19057	30	19	,	,	PUNCT
bracis-19057	30	20	distribution	distribution	NOUN
bracis-19057	30	21	,	,	PUNCT
bracis-19057	30	22	etc	etc	X
bracis-19057	30	23	.	.	X
bracis-19057	30	24	)	)	PUNCT
bracis-19057	30	25	.	.	PUNCT
bracis-19057	31	1	data	datum	NOUN
bracis-19057	31	2	classification	classification	NOUN
bracis-19057	31	3	,	,	PUNCT
bracis-19057	31	4	which	which	PRON
bracis-19057	31	5	takes	take	VERB
bracis-19057	31	6	into	into	ADP
bracis-19057	31	7	account	account	NOUN
bracis-19057	31	8	not	not	PART
bracis-19057	31	9	only	only	ADV
bracis-19057	31	10	physical	physical	ADJ
bracis-19057	31	11	features	feature	NOUN
bracis-19057	31	12	,	,	PUNCT
bracis-19057	31	13	but	but	CCONJ
bracis-19057	31	14	also	also	ADV
bracis-19057	31	15	the	the	DET
bracis-19057	31	16	organizational	organizational	ADJ
bracis-19057	31	17	structure	structure	NOUN
bracis-19057	31	18	of	of	ADP
bracis-19057	31	19	the	the	DET
bracis-19057	31	20	data	datum	NOUN
bracis-19057	31	21	,	,	PUNCT
bracis-19057	31	22	is	be	AUX
bracis-19057	31	23	referred	refer	VERB
bracis-19057	31	24	to	to	ADP
bracis-19057	31	25	as	as	ADV
bracis-19057	31	26	high	high	ADJ
bracis-19057	31	27	level	level	NOUN
bracis-19057	31	28	classification	classification	NOUN
bracis-19057	31	29	.	.	PUNCT
bracis-19057	32	1	complex	complex	ADJ
bracis-19057	32	2	networks	network	NOUN
bracis-19057	32	3	are	be	AUX
bracis-19057	32	4	suitable	suitable	ADJ
bracis-19057	32	5	tools	tool	NOUN
bracis-19057	32	6	for	for	ADP
bracis-19057	32	7	data	datum	NOUN
bracis-19057	32	8	pattern	pattern	NOUN
bracis-19057	32	9	characterization	characterization	NOUN
bracis-19057	32	10	due	due	ADP
bracis-19057	32	11	to	to	ADP
bracis-19057	32	12	their	their	PRON
bracis-19057	32	13	ability	ability	NOUN
bracis-19057	32	14	of	of	ADP
bracis-19057	32	15	capturing	capture	VERB
bracis-19057	32	16	the	the	DET
bracis-19057	32	17	spatial	spatial	ADJ
bracis-19057	32	18	,	,	PUNCT
bracis-19057	32	19	topological	topological	ADJ
bracis-19057	32	20	,	,	PUNCT
bracis-19057	32	21	and	and	CCONJ
bracis-19057	32	22	functional	functional	ADJ
bracis-19057	32	23	relationship	relationship	NOUN
bracis-19057	32	24	among	among	ADP
bracis-19057	32	25	data	datum	NOUN
bracis-19057	32	26	[	[	X
bracis-19057	32	27	1	1	NUM
bracis-19057	32	28	,	,	PUNCT
bracis-19057	32	29	6	6	NUM
bracis-19057	32	30	,	,	PUNCT
bracis-19057	32	31	22	22	NUM
bracis-19057	32	32	,	,	PUNCT
bracis-19057	32	33	23	23	NUM
bracis-19057	32	34	]	]	PUNCT
bracis-19057	32	35	.	.	PUNCT
bracis-19057	33	1	in	in	ADP
bracis-19057	33	2	this	this	DET
bracis-19057	33	3	study	study	NOUN
bracis-19057	33	4	,	,	PUNCT
bracis-19057	33	5	we	we	PRON
bracis-19057	33	6	present	present	VERB
bracis-19057	33	7	a	a	DET
bracis-19057	33	8	modified	modify	VERB
bracis-19057	33	9	high	high	ADJ
bracis-19057	33	10	-	-	PUNCT
bracis-19057	33	11	level	level	NOUN
bracis-19057	33	12	classification	classification	NOUN
bracis-19057	33	13	technique	technique	NOUN
bracis-19057	33	14	based	base	VERB
bracis-19057	33	15	on	on	ADP
bracis-19057	33	16	complex	complex	ADJ
bracis-19057	33	17	network	network	NOUN
bracis-19057	33	18	modeling	modeling	NOUN
bracis-19057	33	19	.	.	PUNCT
bracis-19057	34	1	it	it	PRON
bracis-19057	34	2	can	can	AUX
bracis-19057	34	3	perform	perform	VERB
bracis-19057	34	4	classification	classification	NOUN
bracis-19057	34	5	tasks	task	NOUN
bracis-19057	34	6	taking	take	VERB
bracis-19057	34	7	into	into	ADP
bracis-19057	34	8	account	account	NOUN
bracis-19057	34	9	both	both	DET
bracis-19057	34	10	physical	physical	ADJ
bracis-19057	34	11	attributes	attribute	NOUN
bracis-19057	34	12	and	and	CCONJ
bracis-19057	34	13	the	the	DET
bracis-19057	34	14	pattern	pattern	NOUN
bracis-19057	34	15	formation	formation	NOUN
bracis-19057	34	16	of	of	ADP
bracis-19057	34	17	the	the	DET
bracis-19057	34	18	data	datum	NOUN
bracis-19057	34	19	.	.	PUNCT
bracis-19057	35	1	basically	basically	ADV
bracis-19057	35	2	,	,	PUNCT
bracis-19057	35	3	the	the	DET
bracis-19057	35	4	classification	classification	NOUN
bracis-19057	35	5	process	process	NOUN
bracis-19057	35	6	measures	measure	VERB
bracis-19057	35	7	the	the	DET
bracis-19057	35	8	compliance	compliance	NOUN
bracis-19057	35	9	of	of	ADP
bracis-19057	35	10	the	the	DET
bracis-19057	35	11	test	test	NOUN
bracis-19057	35	12	instance	instance	NOUN
bracis-19057	35	13	to	to	ADP
bracis-19057	35	14	the	the	DET
bracis-19057	35	15	pattern	pattern	NOUN
bracis-19057	35	16	formation	formation	NOUN
bracis-19057	35	17	of	of	ADP
bracis-19057	35	18	each	each	DET
bracis-19057	35	19	network	network	NOUN
bracis-19057	35	20	constructed	construct	VERB
bracis-19057	35	21	from	from	ADP
bracis-19057	35	22	a	a	DET
bracis-19057	35	23	class	class	NOUN
bracis-19057	35	24	of	of	ADP
bracis-19057	35	25	training	training	NOUN
bracis-19057	35	26	data	datum	NOUN
bracis-19057	35	27	.	.	PUNCT
bracis-19057	36	1	the	the	DET
bracis-19057	36	2	approach	approach	NOUN
bracis-19057	36	3	presented	present	VERB
bracis-19057	36	4	in	in	ADP
bracis-19057	36	5	this	this	DET
bracis-19057	36	6	work	work	NOUN
bracis-19057	36	7	is	be	AUX
bracis-19057	36	8	inspired	inspire	VERB
bracis-19057	36	9	by	by	ADP
bracis-19057	36	10	the	the	DET
bracis-19057	36	11	high	high	ADJ
bracis-19057	36	12	-	-	PUNCT
bracis-19057	36	13	level	level	NOUN
bracis-19057	36	14	data	data	NOUN
bracis-19057	36	15	classification	classification	NOUN
bracis-19057	36	16	technique	technique	NOUN
bracis-19057	36	17	introduced	introduce	VERB
bracis-19057	36	18	in	in	ADP
bracis-19057	36	19	previous	previous	ADJ
bracis-19057	36	20	works	work	NOUN
bracis-19057	36	21	[	[	X
bracis-19057	36	22	6	6	NUM
bracis-19057	36	23	,	,	PUNCT
bracis-19057	36	24	8	8	NUM
bracis-19057	36	25	,	,	PUNCT
bracis-19057	36	26	22	22	NUM
bracis-19057	36	27	]	]	PUNCT
bracis-19057	36	28	,	,	PUNCT
bracis-19057	36	29	and	and	CCONJ
bracis-19057	36	30	here	here	ADV
bracis-19057	36	31	it	it	PRON
bracis-19057	36	32	is	be	AUX
bracis-19057	36	33	modified	modify	VERB
bracis-19057	36	34	in	in	ADP
bracis-19057	36	35	terms	term	NOUN
bracis-19057	36	36	of	of	ADP
bracis-19057	36	37	the	the	DET
bracis-19057	36	38	network	network	NOUN
bracis-19057	36	39	building	building	NOUN
bracis-19057	36	40	parameters	parameter	NOUN
bracis-19057	36	41	automation	automation	NOUN
bracis-19057	36	42	method	method	NOUN
bracis-19057	36	43	,	,	PUNCT
bracis-19057	36	44	the	the	DET
bracis-19057	36	45	topological	topological	ADJ
bracis-19057	36	46	measure	measure	NOUN
bracis-19057	36	47	used	use	VERB
bracis-19057	36	48	for	for	ADP
bracis-19057	36	49	characterizing	characterize	VERB
bracis-19057	36	50	the	the	DET
bracis-19057	36	51	data	datum	NOUN
bracis-19057	36	52	pattern	pattern	NOUN
bracis-19057	36	53	structure	structure	NOUN
bracis-19057	36	54	,	,	PUNCT
bracis-19057	36	55	and	and	CCONJ
bracis-19057	36	56	the	the	DET
bracis-19057	36	57	inclusion	inclusion	NOUN
bracis-19057	36	58	of	of	ADP
bracis-19057	36	59	a	a	DET
bracis-19057	36	60	network	network	NOUN
bracis-19057	36	61	reduction	reduction	NOUN
bracis-19057	36	62	option	option	NOUN
bracis-19057	36	63	,	,	PUNCT
bracis-19057	36	64	to	to	PART
bracis-19057	36	65	facilitate	facilitate	VERB
bracis-19057	36	66	its	its	PRON
bracis-19057	36	67	application	application	NOUN
bracis-19057	36	68	on	on	ADP
bracis-19057	36	69	larger	large	ADJ
bracis-19057	36	70	datasets	dataset	NOUN
bracis-19057	36	71	by	by	ADP
bracis-19057	36	72	saving	save	VERB
bracis-19057	36	73	processing	processing	NOUN
bracis-19057	36	74	and	and	CCONJ
bracis-19057	36	75	memory	memory	NOUN
bracis-19057	36	76	resources	resource	NOUN
bracis-19057	36	77	.	.	PUNCT
bracis-19057	37	1	the	the	DET
bracis-19057	37	2	main	main	ADJ
bracis-19057	37	3	contributions	contribution	NOUN
bracis-19057	37	4	of	of	ADP
bracis-19057	37	5	this	this	DET
bracis-19057	37	6	work	work	NOUN
bracis-19057	37	7	are	be	AUX
bracis-19057	37	8	summarized	summarize	VERB
bracis-19057	37	9	as	as	SCONJ
bracis-19057	37	10	follows	follow	VERB
bracis-19057	37	11	:	:	PUNCT
bracis-19057	37	12	building	build	VERB
bracis-19057	37	13	a	a	DET
bracis-19057	37	14	training	training	NOUN
bracis-19057	37	15	dataset	dataset	VERB
bracis-19057	37	16	from	from	ADP
bracis-19057	37	17	unlabeled	unlabeled	ADJ
bracis-19057	37	18	original	original	ADJ
bracis-19057	37	19	data	datum	NOUN
bracis-19057	37	20	,	,	PUNCT
bracis-19057	37	21	comprising	comprise	VERB
bracis-19057	37	22	medical	medical	ADJ
bracis-19057	37	23	tests	test	NOUN
bracis-19057	37	24	from	from	ADP
bracis-19057	37	25	almost	almost	ADV
bracis-19057	37	26	3,000	3,000	NUM
bracis-19057	37	27	de	de	ADV
bracis-19057	37	28	-	-	VERB
bracis-19057	37	29	identified	identify	VERB
bracis-19057	37	30	covid-19	covid-19	PROPN
bracis-19057	37	31	patients	patient	NOUN
bracis-19057	37	32	,	,	PUNCT
bracis-19057	37	33	provided	provide	VERB
bracis-19057	37	34	by	by	ADP
bracis-19057	37	35	a	a	DET
bracis-19057	37	36	hospital	hospital	NOUN
bracis-19057	37	37	in	in	ADP
bracis-19057	37	38	brazil	brazil	PROPN
bracis-19057	37	39	,	,	PUNCT
bracis-19057	37	40	which	which	PRON
bracis-19057	37	41	will	will	AUX
bracis-19057	37	42	be	be	AUX
bracis-19057	37	43	made	make	VERB
bracis-19057	37	44	publicly	publicly	ADV
bracis-19057	37	45	available	available	ADJ
bracis-19057	37	46	to	to	PART
bracis-19057	37	47	be	be	AUX
bracis-19057	37	48	used	use	VERB
bracis-19057	37	49	in	in	ADP
bracis-19057	37	50	other	other	ADJ
bracis-19057	37	51	relevant	relevant	ADJ
bracis-19057	37	52	researches	research	NOUN
bracis-19057	37	53	,	,	PUNCT
bracis-19057	37	54	introducing	introduce	VERB
bracis-19057	37	55	a	a	DET
bracis-19057	37	56	network	network	NOUN
bracis-19057	37	57	-	-	PUNCT
bracis-19057	37	58	based	base	VERB
bracis-19057	37	59	high	high	ADJ
bracis-19057	37	60	level	level	NOUN
bracis-19057	37	61	classification	classification	NOUN
bracis-19057	37	62	technique	technique	NOUN
bracis-19057	37	63	,	,	PUNCT
bracis-19057	37	64	based	base	VERB
bracis-19057	37	65	on	on	ADP
bracis-19057	37	66	the	the	DET
bracis-19057	37	67	betweenness	betweenness	NOUN
bracis-19057	37	68	centrality	centrality	NOUN
bracis-19057	37	69	measure	measure	NOUN
bracis-19057	37	70	,	,	PUNCT
bracis-19057	37	71	with	with	ADP
bracis-19057	37	72	a	a	DET
bracis-19057	37	73	network	network	NOUN
bracis-19057	37	74	reduction	reduction	NOUN
bracis-19057	37	75	option	option	NOUN
bracis-19057	37	76	included	include	VERB
bracis-19057	37	77	in	in	ADP
bracis-19057	37	78	the	the	DET
bracis-19057	37	79	training	training	NOUN
bracis-19057	37	80	phase	phase	NOUN
bracis-19057	37	81	,	,	PUNCT
bracis-19057	37	82	to	to	PART
bracis-19057	37	83	make	make	VERB
bracis-19057	37	84	the	the	DET
bracis-19057	37	85	technique	technique	NOUN
bracis-19057	37	86	faster	fast	ADV
bracis-19057	37	87	and	and	CCONJ
bracis-19057	37	88	to	to	PART
bracis-19057	37	89	facilitate	facilitate	VERB
bracis-19057	37	90	its	its	PRON
bracis-19057	37	91	application	application	NOUN
bracis-19057	37	92	on	on	ADP
bracis-19057	37	93	larger	large	ADJ
bracis-19057	37	94	datasets	dataset	NOUN
bracis-19057	37	95	,	,	PUNCT
bracis-19057	37	96	and	and	CCONJ
bracis-19057	37	97	applying	apply	VERB
bracis-19057	37	98	the	the	DET
bracis-19057	37	99	proposed	propose	VERB
bracis-19057	37	100	technique	technique	NOUN
bracis-19057	37	101	both	both	PRON
bracis-19057	37	102	on	on	ADP
bracis-19057	37	103	benchmark	benchmark	NOUN
bracis-19057	37	104	classification	classification	NOUN
bracis-19057	37	105	datasets	dataset	NOUN
bracis-19057	37	106	and	and	CCONJ
bracis-19057	37	107	on	on	ADP
bracis-19057	37	108	the	the	DET
bracis-19057	37	109	built	build	VERB
bracis-19057	37	110	dataset	dataset	NOUN
bracis-19057	37	111	,	,	PUNCT
bracis-19057	37	112	and	and	CCONJ
bracis-19057	37	113	comparing	compare	VERB
bracis-19057	37	114	the	the	DET
bracis-19057	37	115	results	result	NOUN
bracis-19057	37	116	with	with	ADP
bracis-19057	37	117	those	those	PRON
bracis-19057	37	118	achieved	achieve	VERB
bracis-19057	37	119	by	by	ADP
bracis-19057	37	120	other	other	ADJ
bracis-19057	37	121	traditional	traditional	ADJ
bracis-19057	37	122	classification	classification	NOUN
bracis-19057	37	123	techniques	technique	NOUN
bracis-19057	37	124	,	,	PUNCT
bracis-19057	37	125	on	on	ADP
bracis-19057	37	126	the	the	DET
bracis-19057	37	127	same	same	ADJ
bracis-19057	37	128	data	datum	NOUN
bracis-19057	37	129	,	,	PUNCT
bracis-19057	37	130	to	to	PART
bracis-19057	37	131	evaluate	evaluate	VERB
bracis-19057	37	132	the	the	DET
bracis-19057	37	133	possibility	possibility	NOUN
bracis-19057	37	134	of	of	ADP
bracis-19057	37	135	detecting	detect	VERB
bracis-19057	37	136	early	early	ADJ
bracis-19057	37	137	signs	sign	NOUN
bracis-19057	37	138	of	of	ADP
bracis-19057	37	139	insufficiency	insufficiency	NOUN
bracis-19057	37	140	in	in	ADP
bracis-19057	37	141	covid-19	covid-19	PROPN
bracis-19057	37	142	patients	patient	NOUN
bracis-19057	37	143	solely	solely	ADV
bracis-19057	37	144	based	base	VERB
bracis-19057	37	145	on	on	ADP
bracis-19057	37	146	cbc	cbc	NOUN
bracis-19057	37	147	tests	test	NOUN
bracis-19057	37	148	,	,	PUNCT
bracis-19057	37	149	used	use	VERB
bracis-19057	37	150	as	as	ADP
bracis-19057	37	151	biomarkers	biomarker	NOUN
bracis-19057	37	152	.	.	PUNCT
bracis-19057	38	1	2	2	NUM
bracis-19057	38	2	the	the	DET
bracis-19057	38	3	proposed	propose	VERB
bracis-19057	38	4	mnbhl	mnbhl	NOUN
bracis-19057	38	5	technique	technique	NOUN
bracis-19057	38	6	in	in	ADP
bracis-19057	38	7	this	this	DET
bracis-19057	38	8	section	section	NOUN
bracis-19057	38	9	we	we	PRON
bracis-19057	38	10	describe	describe	VERB
bracis-19057	38	11	the	the	DET
bracis-19057	38	12	proposed	propose	VERB
bracis-19057	38	13	modified	modify	VERB
bracis-19057	38	14	network	network	NOUN
bracis-19057	38	15	-	-	PUNCT
bracis-19057	38	16	based	base	VERB
bracis-19057	38	17	high	high	ADJ
bracis-19057	38	18	level	level	NOUN
bracis-19057	38	19	(	(	PUNCT
bracis-19057	38	20	mnbhl	mnbhl	NOUN
bracis-19057	38	21	)	)	PUNCT
bracis-19057	38	22	classification	classification	NOUN
bracis-19057	38	23	technique	technique	NOUN
bracis-19057	38	24	.	.	PUNCT
bracis-19057	39	1	all	all	DET
bracis-19057	39	2	implementations	implementation	NOUN
bracis-19057	39	3	are	be	AUX
bracis-19057	39	4	made	make	VERB
bracis-19057	39	5	using	use	VERB
bracis-19057	39	6	the	the	DET
bracis-19057	39	7	igraph	igraph	ADJ
bracis-19057	39	8	python	python	NOUN
bracis-19057	39	9	package	package	NOUN
bracis-19057	39	10	[	[	X
bracis-19057	39	11	9	9	NUM
bracis-19057	39	12	]	]	PUNCT
bracis-19057	39	13	.	.	PUNCT
bracis-19057	40	1	in	in	ADP
bracis-19057	40	2	classic	classic	ADJ
bracis-19057	40	3	supervised	supervised	ADJ
bracis-19057	40	4	learning	learning	NOUN
bracis-19057	40	5	,	,	PUNCT
bracis-19057	40	6	initially	initially	ADV
bracis-19057	40	7	we	we	PRON
bracis-19057	40	8	have	have	VERB
bracis-19057	40	9	an	an	DET
bracis-19057	40	10	input	input	NOUN
bracis-19057	40	11	dataset	dataset	NOUN
bracis-19057	40	12	comprising	comprising	NOUN
bracis-19057	40	13	n	n	PRON
bracis-19057	40	14	instances	instance	NOUN
bracis-19057	40	15	in	in	ADP
bracis-19057	40	16	the	the	DET
bracis-19057	40	17	form	form	NOUN
bracis-19057	40	18	of	of	ADP
bracis-19057	40	19	an	an	DET
bracis-19057	40	20	array	array	NOUN
bracis-19057	40	21	\(x_{train	\(x_{train	NUM
bracis-19057	40	22	}	}	PUNCT
bracis-19057	40	23	=	=	PUNCT
bracis-19057	41	1	[	[	X
bracis-19057	41	2	x_1	x_1	X
bracis-19057	41	3	,	,	PUNCT
bracis-19057	41	4	x_2	x_2	PROPN
bracis-19057	41	5	,	,	PUNCT
bracis-19057	41	6	.	.	PUNCT
bracis-19057	41	7	.	.	PUNCT
bracis-19057	42	1	.	.	PUNCT
bracis-19057	43	1	,	,	PUNCT
bracis-19057	43	2	x_n]\	x_n]\	PROPN
bracis-19057	43	3	)	)	PUNCT
bracis-19057	43	4	,	,	PUNCT
bracis-19057	43	5	where	where	SCONJ
bracis-19057	43	6	each	each	DET
bracis-19057	43	7	instance	instance	NOUN
bracis-19057	43	8	\(x_i\	\(x_i\	VERB
bracis-19057	43	9	)	)	PUNCT
bracis-19057	43	10	itself	itself	PRON
bracis-19057	43	11	is	be	AUX
bracis-19057	43	12	a	a	DET
bracis-19057	43	13	m	m	ADV
bracis-19057	43	14	-	-	ADJ
bracis-19057	43	15	dimensional	dimensional	ADJ
bracis-19057	43	16	array	array	NOUN
bracis-19057	43	17	,	,	PUNCT
bracis-19057	43	18	such	such	ADJ
bracis-19057	43	19	that	that	SCONJ
bracis-19057	43	20	\(x_i	\(x_i	PROPN
bracis-19057	43	21	=	=	PUNCT
bracis-19057	44	1	[	[	X
bracis-19057	44	2	x_{i	x_{i	X
bracis-19057	44	3	,	,	PUNCT
bracis-19057	44	4	1	1	NUM
bracis-19057	44	5	}	}	PUNCT
bracis-19057	44	6	,	,	PUNCT
bracis-19057	44	7	x_{i	x_{i	PROPN
bracis-19057	44	8	,	,	PUNCT
bracis-19057	44	9	2	2	NUM
bracis-19057	44	10	}	}	PUNCT
bracis-19057	44	11	,	,	PUNCT
bracis-19057	44	12	.	.	PUNCT
bracis-19057	44	13	.	.	PUNCT
bracis-19057	44	14	.	.	PUNCT
bracis-19057	45	1	,	,	PUNCT
bracis-19057	45	2	x_{i	x_{i	PROPN
bracis-19057	45	3	,	,	PUNCT
bracis-19057	45	4	m}]\	m}]\	NOUN
bracis-19057	45	5	)	)	PUNCT
bracis-19057	45	6	,	,	PUNCT
bracis-19057	45	7	representing	represent	VERB
bracis-19057	45	8	m	m	VERB
bracis-19057	45	9	features	feature	NOUN
bracis-19057	45	10	of	of	ADP
bracis-19057	45	11	the	the	DET
bracis-19057	45	12	instance	instance	NOUN
bracis-19057	45	13	.	.	PUNCT
bracis-19057	46	1	correspondingly	correspondingly	ADV
bracis-19057	46	2	,	,	PUNCT
bracis-19057	46	3	the	the	DET
bracis-19057	46	4	labels	label	NOUN
bracis-19057	46	5	of	of	ADP
bracis-19057	46	6	the	the	DET
bracis-19057	46	7	instances	instance	NOUN
bracis-19057	46	8	are	be	AUX
bracis-19057	46	9	represented	represent	VERB
bracis-19057	46	10	by	by	ADP
bracis-19057	46	11	another	another	DET
bracis-19057	46	12	array	array	NOUN
bracis-19057	46	13	\(y	\(y	PRON
bracis-19057	46	14	=	=	PUNCT
bracis-19057	47	1	[	[	X
bracis-19057	47	2	y_1	y_1	PROPN
bracis-19057	47	3	,	,	PUNCT
bracis-19057	47	4	y_2	y_2	X
bracis-19057	47	5	,	,	PUNCT
bracis-19057	47	6	.	.	PUNCT
bracis-19057	47	7	.	.	PUNCT
bracis-19057	47	8	.	.	PUNCT
bracis-19057	48	1	,	,	PUNCT
bracis-19057	48	2	y_n]\	y_n]\	PROPN
bracis-19057	48	3	)	)	PUNCT
bracis-19057	48	4	,	,	PUNCT
bracis-19057	48	5	where	where	SCONJ
bracis-19057	48	6	\(y_{i	\(y_{i	ADP
bracis-19057	48	7	}	}	PUNCT
bracis-19057	48	8	\in	\in	PROPN
bracis-19057	48	9	\mathcal	\mathcal	PROPN
bracis-19057	48	10	{	{	PUNCT
bracis-19057	48	11	l	l	NOUN
bracis-19057	48	12	}	}	PUNCT
bracis-19057	48	13	=	=	SYM
bracis-19057	48	14	\{l_{1	\{l_{1	PROPN
bracis-19057	48	15	}	}	PUNCT
bracis-19057	48	16	.	.	PUNCT
bracis-19057	48	17	.	.	PUNCT
bracis-19057	49	1	.	.	PUNCT
bracis-19057	50	1	,	,	PUNCT
bracis-19057	50	2	l_{c}\}\	l_{c}\}\	NOUN
bracis-19057	50	3	)	)	PUNCT
bracis-19057	50	4	,	,	PUNCT
bracis-19057	50	5	and	and	CCONJ
bracis-19057	50	6	\(l_i\	\(l_i\	NOUN
bracis-19057	50	7	)	)	PUNCT
bracis-19057	50	8	is	be	AUX
bracis-19057	50	9	the	the	DET
bracis-19057	50	10	label	label	NOUN
bracis-19057	50	11	of	of	ADP
bracis-19057	50	12	the	the	DET
bracis-19057	50	13	ith	ith	PROPN
bracis-19057	50	14	class	class	NOUN
bracis-19057	50	15	.	.	PUNCT
bracis-19057	51	1	the	the	DET
bracis-19057	51	2	objective	objective	NOUN
bracis-19057	51	3	of	of	ADP
bracis-19057	51	4	the	the	DET
bracis-19057	51	5	training	training	NOUN
bracis-19057	51	6	phase	phase	NOUN
bracis-19057	51	7	is	be	AUX
bracis-19057	51	8	to	to	PART
bracis-19057	51	9	construct	construct	VERB
bracis-19057	51	10	a	a	DET
bracis-19057	51	11	classifier	classifier	NOUN
bracis-19057	51	12	by	by	ADP
bracis-19057	51	13	generating	generate	VERB
bracis-19057	51	14	a	a	DET
bracis-19057	51	15	mapping	mapping	NOUN
bracis-19057	51	16	\(f	\(f	NOUN
bracis-19057	51	17	:	:	PUNCT
bracis-19057	51	18	x_{train	x_{train	ADJ
bracis-19057	51	19	}	}	PUNCT
bracis-19057	51	20	\xrightarrow	\xrightarrow	PROPN
bracis-19057	51	21	{	{	PUNCT
bracis-19057	51	22	\vardelta	\vardelta	NOUN
bracis-19057	51	23	}	}	PUNCT
bracis-19057	51	24	y\	y\	NOUN
bracis-19057	51	25	)	)	PUNCT
bracis-19057	51	26	.	.	PUNCT
bracis-19057	52	1	in	in	ADP
bracis-19057	52	2	the	the	DET
bracis-19057	52	3	testing	testing	NOUN
bracis-19057	52	4	phase	phase	NOUN
bracis-19057	52	5	,	,	PUNCT
bracis-19057	52	6	this	this	DET
bracis-19057	52	7	mapping	mapping	NOUN
bracis-19057	52	8	is	be	AUX
bracis-19057	52	9	used	use	VERB
bracis-19057	52	10	to	to	PART
bracis-19057	52	11	classify	classify	VERB
bracis-19057	52	12	data	data	NOUN
bracis-19057	52	13	instances	instance	NOUN
bracis-19057	52	14	without	without	ADP
bracis-19057	52	15	label	label	NOUN
bracis-19057	52	16	.	.	PUNCT
bracis-19057	53	1	the	the	DET
bracis-19057	53	2	test	test	NOUN
bracis-19057	53	3	dataset	dataset	NOUN
bracis-19057	53	4	is	be	AUX
bracis-19057	53	5	denoted	denote	VERB
bracis-19057	53	6	by	by	ADP
bracis-19057	53	7	\(x_{test}\	\(x_{test}\	PROPN
bracis-19057	53	8	)	)	PUNCT
bracis-19057	53	9	.	.	PUNCT
bracis-19057	54	1	a	a	DET
bracis-19057	54	2	network	network	NOUN
bracis-19057	54	3	can	can	AUX
bracis-19057	54	4	be	be	AUX
bracis-19057	54	5	defined	define	VERB
bracis-19057	54	6	as	as	ADP
bracis-19057	54	7	a	a	DET
bracis-19057	54	8	graph	graph	NOUN
bracis-19057	54	9	\(\mathcal	\(\mathcal	ADJ
bracis-19057	54	10	{	{	PUNCT
bracis-19057	54	11	g}=(\mathcal	g}=(\mathcal	ADJ
bracis-19057	54	12	{	{	PUNCT
bracis-19057	54	13	v	v	NOUN
bracis-19057	54	14	,	,	PUNCT
bracis-19057	54	15	e})\	e})\	NOUN
bracis-19057	54	16	)	)	PUNCT
bracis-19057	54	17	,	,	PUNCT
bracis-19057	54	18	where	where	SCONJ
bracis-19057	54	19	\(\mathcal	\(\mathcal	ADJ
bracis-19057	54	20	{	{	PUNCT
bracis-19057	54	21	v}\	v}\	NOUN
bracis-19057	54	22	)	)	PUNCT
bracis-19057	54	23	is	be	AUX
bracis-19057	54	24	a	a	DET
bracis-19057	54	25	set	set	NOUN
bracis-19057	54	26	of	of	ADP
bracis-19057	54	27	nodes	node	NOUN
bracis-19057	54	28	,	,	PUNCT
bracis-19057	54	29	\(\mathcal	\(\mathcal	ADJ
bracis-19057	54	30	{	{	PUNCT
bracis-19057	54	31	v	v	NOUN
bracis-19057	54	32	}	}	PUNCT
bracis-19057	54	33	=	=	SYM
bracis-19057	54	34	\	\	NOUN
bracis-19057	54	35	{	{	PUNCT
bracis-19057	54	36	v_1	v_1	PROPN
bracis-19057	54	37	,	,	PUNCT
bracis-19057	54	38	v_2	v_2	PROPN
bracis-19057	54	39	,	,	PUNCT
bracis-19057	54	40	...	...	PUNCT
bracis-19057	54	41	,	,	PUNCT
bracis-19057	54	42	v_n	v_n	PUNCT
bracis-19057	55	1	\}\	\}\	NOUN
bracis-19057	55	2	)	)	PUNCT
bracis-19057	55	3	,	,	PUNCT
bracis-19057	55	4	and	and	CCONJ
bracis-19057	55	5	\(\mathcal	\(\mathcal	ADJ
bracis-19057	55	6	{	{	PUNCT
bracis-19057	55	7	e}\	e}\	NUM
bracis-19057	55	8	)	)	PUNCT
bracis-19057	55	9	is	be	AUX
bracis-19057	55	10	a	a	DET
bracis-19057	55	11	set	set	NOUN
bracis-19057	55	12	of	of	ADP
bracis-19057	55	13	tuples	tuple	NOUN
bracis-19057	55	14	,	,	PUNCT
bracis-19057	56	1	\(\mathcal	\(\mathcal	ADJ
bracis-19057	56	2	{	{	PUNCT
bracis-19057	56	3	e	e	NOUN
bracis-19057	56	4	}	}	PUNCT
bracis-19057	56	5	=	=	SYM
bracis-19057	56	6	\	\	NOUN
bracis-19057	56	7	{	{	PUNCT
bracis-19057	56	8	(	(	PUNCT
bracis-19057	56	9	i	i	PROPN
bracis-19057	56	10	,	,	PUNCT
bracis-19057	56	11	j	j	PROPN
bracis-19057	56	12	)	)	PUNCT
bracis-19057	56	13	:	:	PUNCT
bracis-19057	57	1	i	i	PRON
bracis-19057	57	2	,	,	PUNCT
bracis-19057	57	3	j	j	PROPN
bracis-19057	57	4	\in	\in	PROPN
bracis-19057	57	5	\mathcal	\mathcal	PROPN
bracis-19057	57	6	{	{	PUNCT
bracis-19057	57	7	v	v	NOUN
bracis-19057	57	8	}	}	PUNCT
bracis-19057	57	9	\}\	\}\	NOUN
bracis-19057	57	10	)	)	PUNCT
bracis-19057	57	11	,	,	PUNCT
bracis-19057	57	12	representing	represent	VERB
bracis-19057	57	13	the	the	DET
bracis-19057	57	14	edges	edge	NOUN
bracis-19057	57	15	between	between	ADP
bracis-19057	57	16	each	each	DET
bracis-19057	57	17	pair	pair	NOUN
bracis-19057	57	18	of	of	ADP
bracis-19057	57	19	nodes	node	NOUN
bracis-19057	57	20	.	.	PUNCT
bracis-19057	58	1	in	in	ADP
bracis-19057	58	2	the	the	DET
bracis-19057	58	3	proposed	propose	VERB
bracis-19057	58	4	modified	modify	VERB
bracis-19057	58	5	high	high	ADJ
bracis-19057	58	6	-	-	PUNCT
bracis-19057	58	7	level	level	NOUN
bracis-19057	58	8	classification	classification	NOUN
bracis-19057	58	9	technique	technique	NOUN
bracis-19057	58	10	,	,	PUNCT
bracis-19057	58	11	each	each	DET
bracis-19057	58	12	node	node	NOUN
bracis-19057	58	13	in	in	ADP
bracis-19057	58	14	the	the	DET
bracis-19057	58	15	network	network	NOUN
bracis-19057	58	16	represents	represent	VERB
bracis-19057	58	17	a	a	DET
bracis-19057	58	18	data	data	NOUN
bracis-19057	58	19	instance	instance	NOUN
bracis-19057	58	20	\(x_i\	\(x_i\	PROPN
bracis-19057	58	21	)	)	PUNCT
bracis-19057	58	22	in	in	ADP
bracis-19057	58	23	the	the	DET
bracis-19057	58	24	dataset	dataset	NOUN
bracis-19057	58	25	,	,	PUNCT
bracis-19057	58	26	and	and	CCONJ
bracis-19057	58	27	the	the	DET
bracis-19057	58	28	connections	connection	NOUN
bracis-19057	58	29	between	between	ADP
bracis-19057	58	30	nodes	node	NOUN
bracis-19057	58	31	are	be	AUX
bracis-19057	58	32	created	create	VERB
bracis-19057	58	33	based	base	VERB
bracis-19057	58	34	on	on	ADP
bracis-19057	58	35	the	the	DET
bracis-19057	58	36	their	their	PRON
bracis-19057	58	37	similarity	similarity	NOUN
bracis-19057	58	38	in	in	ADP
bracis-19057	58	39	the	the	DET
bracis-19057	58	40	attribute	attribute	NOUN
bracis-19057	58	41	space	space	NOUN
bracis-19057	58	42	,	,	PUNCT
bracis-19057	58	43	pairwise	pairwise	NOUN
bracis-19057	58	44	.	.	PUNCT
bracis-19057	59	1	in	in	ADP
bracis-19057	59	2	the	the	DET
bracis-19057	59	3	training	training	NOUN
bracis-19057	59	4	phase	phase	NOUN
bracis-19057	59	5	,	,	PUNCT
bracis-19057	59	6	one	one	NUM
bracis-19057	59	7	network	network	NOUN
bracis-19057	59	8	component	component	NOUN
bracis-19057	59	9	is	be	AUX
bracis-19057	59	10	constructed	construct	VERB
bracis-19057	59	11	for	for	ADP
bracis-19057	59	12	the	the	DET
bracis-19057	59	13	data	data	NOUN
bracis-19057	59	14	instances	instance	NOUN
bracis-19057	59	15	of	of	ADP
bracis-19057	59	16	each	each	DET
bracis-19057	59	17	class	class	NOUN
bracis-19057	59	18	.	.	PUNCT
bracis-19057	60	1	afterwards	afterwards	ADV
bracis-19057	60	2	,	,	PUNCT
bracis-19057	60	3	there	there	PRON
bracis-19057	60	4	is	be	VERB
bracis-19057	60	5	an	an	DET
bracis-19057	60	6	option	option	NOUN
bracis-19057	60	7	to	to	PART
bracis-19057	60	8	reduce	reduce	VERB
bracis-19057	60	9	the	the	DET
bracis-19057	60	10	built	build	VERB
bracis-19057	60	11	network	network	NOUN
bracis-19057	60	12	,	,	PUNCT
bracis-19057	60	13	by	by	ADP
bracis-19057	60	14	preserving	preserve	VERB
bracis-19057	60	15	only	only	ADV
bracis-19057	60	16	its	its	PRON
bracis-19057	60	17	\(r\%\	\(r\%\	NOUN
bracis-19057	60	18	)	)	PUNCT
bracis-19057	60	19	most	most	ADJ
bracis-19057	60	20	central	central	ADJ
bracis-19057	60	21	nodes	node	NOUN
bracis-19057	60	22	,	,	PUNCT
bracis-19057	60	23	according	accord	VERB
bracis-19057	60	24	to	to	ADP
bracis-19057	60	25	a	a	DET
bracis-19057	60	26	selected	select	VERB
bracis-19057	60	27	centrality	centrality	NOUN
bracis-19057	60	28	index	index	NOUN
bracis-19057	60	29	.	.	PUNCT
bracis-19057	61	1	in	in	ADP
bracis-19057	61	2	the	the	DET
bracis-19057	61	3	testing	testing	NOUN
bracis-19057	61	4	phase	phase	NOUN
bracis-19057	61	5	,	,	PUNCT
bracis-19057	61	6	each	each	DET
bracis-19057	61	7	data	datum	NOUN
bracis-19057	61	8	instance	instance	NOUN
bracis-19057	61	9	is	be	AUX
bracis-19057	61	10	inserted	insert	VERB
bracis-19057	61	11	as	as	ADP
bracis-19057	61	12	a	a	DET
bracis-19057	61	13	new	new	ADJ
bracis-19057	61	14	node	node	NOUN
bracis-19057	61	15	in	in	ADP
bracis-19057	61	16	the	the	DET
bracis-19057	61	17	network	network	NOUN
bracis-19057	61	18	,	,	PUNCT
bracis-19057	61	19	one	one	NUM
bracis-19057	61	20	at	at	ADP
bracis-19057	61	21	a	a	DET
bracis-19057	61	22	time	time	NOUN
bracis-19057	61	23	,	,	PUNCT
bracis-19057	61	24	by	by	ADP
bracis-19057	61	25	using	use	VERB
bracis-19057	61	26	the	the	DET
bracis-19057	61	27	same	same	ADJ
bracis-19057	61	28	rules	rule	NOUN
bracis-19057	61	29	from	from	ADP
bracis-19057	61	30	the	the	DET
bracis-19057	61	31	training	training	NOUN
bracis-19057	61	32	phase	phase	NOUN
bracis-19057	61	33	.	.	PUNCT
bracis-19057	62	1	in	in	ADP
bracis-19057	62	2	case	case	NOUN
bracis-19057	62	3	only	only	ADV
bracis-19057	62	4	one	one	NUM
bracis-19057	62	5	network	network	NOUN
bracis-19057	62	6	component	component	NOUN
bracis-19057	62	7	is	be	AUX
bracis-19057	62	8	affected	affect	VERB
bracis-19057	62	9	by	by	ADP
bracis-19057	62	10	the	the	DET
bracis-19057	62	11	insertion	insertion	NOUN
bracis-19057	62	12	,	,	PUNCT
bracis-19057	62	13	then	then	ADV
bracis-19057	62	14	its	its	PRON
bracis-19057	62	15	label	label	NOUN
bracis-19057	62	16	will	will	AUX
bracis-19057	62	17	be	be	AUX
bracis-19057	62	18	equal	equal	ADJ
bracis-19057	62	19	to	to	ADP
bracis-19057	62	20	the	the	DET
bracis-19057	62	21	respective	respective	ADJ
bracis-19057	62	22	class	class	NOUN
bracis-19057	62	23	of	of	ADP
bracis-19057	62	24	that	that	DET
bracis-19057	62	25	component	component	NOUN
bracis-19057	62	26	.	.	PUNCT
bracis-19057	63	1	in	in	ADP
bracis-19057	63	2	case	case	NOUN
bracis-19057	63	3	more	more	ADJ
bracis-19057	63	4	than	than	ADP
bracis-19057	63	5	one	one	NUM
bracis-19057	63	6	component	component	NOUN
bracis-19057	63	7	is	be	AUX
bracis-19057	63	8	affected	affect	VERB
bracis-19057	63	9	by	by	ADP
bracis-19057	63	10	the	the	DET
bracis-19057	63	11	insertion	insertion	NOUN
bracis-19057	63	12	,	,	PUNCT
bracis-19057	63	13	then	then	ADV
bracis-19057	63	14	its	its	PRON
bracis-19057	63	15	label	label	NOUN
bracis-19057	63	16	will	will	AUX
bracis-19057	63	17	be	be	AUX
bracis-19057	63	18	given	give	VERB
bracis-19057	63	19	by	by	ADP
bracis-19057	63	20	the	the	DET
bracis-19057	63	21	class	class	NOUN
bracis-19057	63	22	whose	whose	DET
bracis-19057	63	23	component	component	NOUN
bracis-19057	63	24	is	be	AUX
bracis-19057	63	25	the	the	DET
bracis-19057	63	26	least	least	ADJ
bracis-19057	63	27	impacted	impact	VERB
bracis-19057	63	28	by	by	ADP
bracis-19057	63	29	the	the	DET
bracis-19057	63	30	new	new	ADJ
bracis-19057	63	31	node	node	PROPN
bracis-19057	63	32	’s	’s	PART
bracis-19057	63	33	insertion	insertion	NOUN
bracis-19057	63	34	,	,	PUNCT
bracis-19057	63	35	in	in	ADP
bracis-19057	63	36	terms	term	NOUN
bracis-19057	63	37	of	of	ADP
bracis-19057	63	38	the	the	DET
bracis-19057	63	39	network	network	NOUN
bracis-19057	63	40	topological	topological	ADJ
bracis-19057	63	41	structure	structure	NOUN
bracis-19057	63	42	.	.	PUNCT
bracis-19057	64	1	2.1	2.1	NUM
bracis-19057	64	2	description	description	NOUN
bracis-19057	64	3	of	of	ADP
bracis-19057	64	4	 	 	SPACE
bracis-19057	64	5	the	the	DET
bracis-19057	64	6	 	 	SPACE
bracis-19057	64	7	training	training	NOUN
bracis-19057	64	8	phase	phase	NOUN
bracis-19057	64	9	the	the	DET
bracis-19057	64	10	training	training	NOUN
bracis-19057	64	11	phase	phase	NOUN
bracis-19057	64	12	starts	start	VERB
bracis-19057	64	13	by	by	ADP
bracis-19057	64	14	balancing	balance	VERB
bracis-19057	64	15	the	the	DET
bracis-19057	64	16	values	value	NOUN
bracis-19057	64	17	in	in	ADP
bracis-19057	64	18	\(x_{train}\	\(x_{train}\	NUM
bracis-19057	64	19	)	)	PUNCT
bracis-19057	64	20	,	,	PUNCT
bracis-19057	64	21	for	for	ADP
bracis-19057	64	22	dealing	deal	VERB
bracis-19057	64	23	with	with	ADP
bracis-19057	64	24	unbalanced	unbalanced	ADJ
bracis-19057	64	25	datasets	dataset	NOUN
bracis-19057	64	26	.	.	PUNCT
bracis-19057	65	1	for	for	ADP
bracis-19057	65	2	this	this	DET
bracis-19057	65	3	end	end	NOUN
bracis-19057	65	4	,	,	PUNCT
bracis-19057	65	5	we	we	PRON
bracis-19057	65	6	introduce	introduce	VERB
bracis-19057	65	7	a	a	DET
bracis-19057	65	8	list	list	NOUN
bracis-19057	65	9	\(\alpha	\(\alpha	ADP
bracis-19057	65	10	\	\	NOUN
bracis-19057	65	11	)	)	PUNCT
bracis-19057	65	12	,	,	PUNCT
bracis-19057	65	13	where	where	SCONJ
bracis-19057	65	14	each	each	DET
bracis-19057	65	15	element	element	NOUN
bracis-19057	65	16	is	be	AUX
bracis-19057	65	17	given	give	VERB
bracis-19057	65	18	by	by	ADP
bracis-19057	65	19	:	:	PUNCT
bracis-19057	65	20	$	$	SYM
bracis-19057	65	21	$	$	SYM
bracis-19057	65	22	\begin{aligned	\begin{aligne	VERB
bracis-19057	65	23	}	}	PUNCT
bracis-19057	65	24	\alpha	\alpha	ADP
bracis-19057	65	25	^{(l	^{(l	NOUN
bracis-19057	65	26	)	)	PUNCT
bracis-19057	65	27	}	}	PUNCT
bracis-19057	65	28	=	=	SYM
bracis-19057	65	29	\frac{|x_{train}^{(l	\frac{|x_{train}^{(l	X
bracis-19057	65	30	)	)	PUNCT
bracis-19057	65	31	}	}	PUNCT
bracis-19057	65	32	|}{|x_{train	|}{|x_{train	ADV
bracis-19057	65	33	}	}	PUNCT
bracis-19057	65	34	|	|	ADV
bracis-19057	65	35	}	}	PUNCT
bracis-19057	65	36	\quad	\quad	PROPN
bracis-19057	65	37	,	,	PUNCT
bracis-19057	65	38	\forall	\forall	DET
bracis-19057	65	39	l	l	NOUN
bracis-19057	65	40	\in	\in	PROPN
bracis-19057	65	41	\mathcal	\mathcal	PROPN
bracis-19057	65	42	{	{	PUNCT
bracis-19057	65	43	l	l	NOUN
bracis-19057	65	44	}	}	PUNCT
bracis-19057	65	45	\quad	\quad	PROPN
bracis-19057	65	46	,	,	PUNCT
bracis-19057	65	47	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	65	48	(	(	PUNCT
bracis-19057	65	49	1	1	NUM
bracis-19057	65	50	)	)	PUNCT
bracis-19057	65	51	where	where	SCONJ
bracis-19057	65	52	\(|x_{train	\(|x_{train	PUNCT
bracis-19057	65	53	}	}	PUNCT
bracis-19057	65	54	|\	|\	PROPN
bracis-19057	65	55	)	)	PUNCT
bracis-19057	65	56	is	be	AUX
bracis-19057	65	57	the	the	DET
bracis-19057	65	58	total	total	ADJ
bracis-19057	65	59	number	number	NOUN
bracis-19057	65	60	of	of	ADP
bracis-19057	65	61	elements	element	NOUN
bracis-19057	65	62	of	of	ADP
bracis-19057	65	63	the	the	DET
bracis-19057	65	64	training	training	NOUN
bracis-19057	65	65	set	set	NOUN
bracis-19057	65	66	and	and	CCONJ
bracis-19057	65	67	\(|x_{train}^{(l	\(|x_{train}^{(l	NOUN
bracis-19057	65	68	)	)	PUNCT
bracis-19057	65	69	}	}	PUNCT
bracis-19057	65	70	|\	|\	PROPN
bracis-19057	65	71	)	)	PUNCT
bracis-19057	65	72	is	be	AUX
bracis-19057	65	73	the	the	DET
bracis-19057	65	74	number	number	NOUN
bracis-19057	65	75	of	of	ADP
bracis-19057	65	76	elements	element	NOUN
bracis-19057	65	77	in	in	ADP
bracis-19057	65	78	the	the	DET
bracis-19057	65	79	subset	subset	ADJ
bracis-19057	65	80	\(x_{train}\	\(x_{train}\	PROPN
bracis-19057	65	81	)	)	PUNCT
bracis-19057	65	82	whose	whose	DET
bracis-19057	65	83	corresponding	correspond	VERB
bracis-19057	65	84	class	class	NOUN
bracis-19057	65	85	label	label	NOUN
bracis-19057	65	86	in	in	ADP
bracis-19057	65	87	y	y	PROPN
bracis-19057	65	88	is	be	AUX
bracis-19057	65	89	l.	l.	NOUN
bracis-19057	65	90	these	these	DET
bracis-19057	65	91	values	value	NOUN
bracis-19057	65	92	are	be	AUX
bracis-19057	65	93	also	also	ADV
bracis-19057	65	94	normalized	normalize	VERB
bracis-19057	65	95	,	,	PUNCT
bracis-19057	65	96	assuming	assume	VERB
bracis-19057	65	97	\(\alpha	\(\alpha	NOUN
bracis-19057	65	98	_	_	NOUN
bracis-19057	66	1	i	i	PRON
bracis-19057	66	2	=	=	PUNCT
bracis-19057	66	3	\frac{\alpha	\frac{\alpha	VERB
bracis-19057	66	4	_	_	PROPN
bracis-19057	66	5	i}{\sum	i}{\sum	ADP
bracis-19057	66	6	_	_	PUNCT
bracis-19057	66	7	i^n	i^n	ADJ
bracis-19057	66	8	\alpha	\alpha	ADP
bracis-19057	66	9	_	_	NOUN
bracis-19057	66	10	i}\	i}\	NUM
bracis-19057	66	11	)	)	PUNCT
bracis-19057	66	12	.	.	PUNCT
bracis-19057	67	1	the	the	DET
bracis-19057	67	2	edges	edge	NOUN
bracis-19057	67	3	between	between	ADP
bracis-19057	67	4	nodes	node	NOUN
bracis-19057	67	5	in	in	ADP
bracis-19057	67	6	the	the	DET
bracis-19057	67	7	network	network	NOUN
bracis-19057	67	8	are	be	AUX
bracis-19057	67	9	generated	generate	VERB
bracis-19057	67	10	by	by	ADP
bracis-19057	67	11	measuring	measure	VERB
bracis-19057	67	12	the	the	DET
bracis-19057	67	13	pairwise	pairwise	NOUN
bracis-19057	67	14	similarity	similarity	NOUN
bracis-19057	67	15	of	of	ADP
bracis-19057	67	16	the	the	DET
bracis-19057	67	17	corresponding	corresponding	ADJ
bracis-19057	67	18	data	data	NOUN
bracis-19057	67	19	instances	instance	NOUN
bracis-19057	67	20	in	in	ADP
bracis-19057	67	21	the	the	DET
bracis-19057	67	22	attribute	attribute	NOUN
bracis-19057	67	23	space	space	NOUN
bracis-19057	67	24	through	through	ADP
bracis-19057	67	25	a	a	DET
bracis-19057	67	26	combination	combination	NOUN
bracis-19057	67	27	of	of	ADP
bracis-19057	67	28	two	two	NUM
bracis-19057	67	29	rules	rule	NOUN
bracis-19057	67	30	:	:	PUNCT
bracis-19057	67	31	knn	knn	NOUN
bracis-19057	67	32	and	and	CCONJ
bracis-19057	67	33	\(\epsilon	\(\epsilon	NOUN
bracis-19057	67	34	\)-radius	\)-radius	NOUN
bracis-19057	67	35	.	.	PUNCT
bracis-19057	68	1	the	the	DET
bracis-19057	68	2	\(\epsilon	\(\epsilon	NOUN
bracis-19057	68	3	\)-radius	\)-radius	NUM
bracis-19057	68	4	rule	rule	NOUN
bracis-19057	68	5	is	be	AUX
bracis-19057	68	6	used	use	VERB
bracis-19057	68	7	for	for	ADP
bracis-19057	68	8	dense	dense	ADJ
bracis-19057	68	9	regions	region	NOUN
bracis-19057	68	10	,	,	PUNCT
bracis-19057	68	11	while	while	SCONJ
bracis-19057	68	12	the	the	DET
bracis-19057	68	13	knn	knn	PROPN
bracis-19057	68	14	is	be	AUX
bracis-19057	68	15	employed	employ	VERB
bracis-19057	68	16	for	for	ADP
bracis-19057	68	17	sparse	sparse	ADJ
bracis-19057	68	18	regions	region	NOUN
bracis-19057	68	19	.	.	PUNCT
bracis-19057	69	1	the	the	DET
bracis-19057	69	2	value	value	NOUN
bracis-19057	69	3	of	of	ADP
bracis-19057	69	4	\(\epsilon	\(\epsilon	NOUN
bracis-19057	69	5	\	\	NOUN
bracis-19057	69	6	)	)	PUNCT
bracis-19057	69	7	is	be	AUX
bracis-19057	69	8	yielded	yield	VERB
bracis-19057	69	9	by	by	ADP
bracis-19057	69	10	:	:	PUNCT
bracis-19057	69	11	$	$	SYM
bracis-19057	69	12	$	$	SYM
bracis-19057	69	13	\begin{aligned	\begin{aligne	VERB
bracis-19057	69	14	}	}	PUNCT
bracis-19057	69	15	\epsilon	\epsilon	NOUN
bracis-19057	69	16	=	=	SYM
bracis-19057	69	17	q(d	q(d	PROPN
bracis-19057	69	18	,	,	PUNCT
bracis-19057	69	19	p	p	X
bracis-19057	69	20	)	)	PUNCT
bracis-19057	69	21	\quad	\quad	PROPN
bracis-19057	69	22	,	,	PUNCT
bracis-19057	69	23	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	69	24	(	(	PUNCT
bracis-19057	69	25	2	2	NUM
bracis-19057	69	26	)	)	PUNCT
bracis-19057	69	27	where	where	SCONJ
bracis-19057	69	28	\(d_i\	\(d_i\	NOUN
bracis-19057	69	29	)	)	PUNCT
bracis-19057	69	30	is	be	AUX
bracis-19057	69	31	a	a	DET
bracis-19057	69	32	1d	1d	NUM
bracis-19057	69	33	vector	vector	NOUN
bracis-19057	69	34	containing	contain	VERB
bracis-19057	69	35	the	the	DET
bracis-19057	69	36	euclidean	euclidean	ADJ
bracis-19057	69	37	distances	distance	NOUN
bracis-19057	69	38	between	between	ADP
bracis-19057	69	39	each	each	DET
bracis-19057	69	40	element	element	NOUN
bracis-19057	69	41	and	and	CCONJ
bracis-19057	69	42	element	element	NOUN
bracis-19057	69	43	\(x_i\	\(x_i\	NOUN
bracis-19057	69	44	)	)	PUNCT
bracis-19057	69	45	in	in	ADP
bracis-19057	69	46	\(x_{train}\	\(x_{train}\	NUM
bracis-19057	69	47	)	)	PUNCT
bracis-19057	69	48	,	,	PUNCT
bracis-19057	69	49	and	and	CCONJ
bracis-19057	69	50	q	q	NOUN
bracis-19057	69	51	is	be	AUX
bracis-19057	69	52	a	a	DET
bracis-19057	69	53	function	function	NOUN
bracis-19057	69	54	which	which	PRON
bracis-19057	69	55	returns	return	VERB
bracis-19057	69	56	the	the	DET
bracis-19057	69	57	p	p	NOUN
bracis-19057	69	58	-	-	PUNCT
bracis-19057	69	59	th	th	X
bracis-19057	69	60	quantile	quantile	NOUN
bracis-19057	69	61	of	of	ADP
bracis-19057	69	62	the	the	DET
bracis-19057	69	63	data	datum	NOUN
bracis-19057	69	64	in	in	ADP
bracis-19057	69	65	d.	d.	PROPN
bracis-19057	69	66	for	for	ADP
bracis-19057	69	67	the	the	DET
bracis-19057	69	68	second	second	ADJ
bracis-19057	69	69	rule	rule	NOUN
bracis-19057	69	70	used	use	VERB
bracis-19057	69	71	for	for	ADP
bracis-19057	69	72	generating	generate	VERB
bracis-19057	69	73	the	the	DET
bracis-19057	69	74	edges	edge	NOUN
bracis-19057	69	75	in	in	ADP
bracis-19057	69	76	the	the	DET
bracis-19057	69	77	network	network	NOUN
bracis-19057	69	78	,	,	PUNCT
bracis-19057	69	79	the	the	DET
bracis-19057	69	80	knn	knn	PROPN
bracis-19057	69	81	,	,	PUNCT
bracis-19057	69	82	we	we	PRON
bracis-19057	69	83	opt	opt	VERB
bracis-19057	69	84	to	to	PART
bracis-19057	69	85	set	set	VERB
bracis-19057	69	86	the	the	DET
bracis-19057	69	87	initial	initial	ADJ
bracis-19057	69	88	value	value	NOUN
bracis-19057	69	89	for	for	ADP
bracis-19057	69	90	the	the	DET
bracis-19057	69	91	parameter	parameter	NOUN
bracis-19057	69	92	k	k	PROPN
bracis-19057	69	93	as	as	ADP
bracis-19057	69	94	the	the	DET
bracis-19057	69	95	\(\min	\(\min	NOUN
bracis-19057	69	96	(	(	PUNCT
bracis-19057	69	97	\min	\min	NOUN
bracis-19057	69	98	v	v	NOUN
bracis-19057	69	99	,	,	PUNCT
bracis-19057	69	100	p	p	PRON
bracis-19057	69	101	\overline{v})\	\overline{v})\	NOUN
bracis-19057	69	102	)	)	PUNCT
bracis-19057	69	103	,	,	PUNCT
bracis-19057	69	104	where	where	SCONJ
bracis-19057	69	105	v	v	NOUN
bracis-19057	69	106	is	be	AUX
bracis-19057	69	107	a	a	DET
bracis-19057	69	108	vector	vector	NOUN
bracis-19057	69	109	containing	contain	VERB
bracis-19057	69	110	the	the	DET
bracis-19057	69	111	number	number	NOUN
bracis-19057	69	112	of	of	ADP
bracis-19057	69	113	data	datum	NOUN
bracis-19057	69	114	instances	instance	NOUN
bracis-19057	69	115	per	per	ADP
bracis-19057	69	116	each	each	DET
bracis-19057	69	117	class	class	NOUN
bracis-19057	69	118	in	in	ADP
bracis-19057	69	119	the	the	DET
bracis-19057	69	120	dataset	dataset	NOUN
bracis-19057	69	121	.	.	PUNCT
bracis-19057	70	1	hence	hence	ADV
bracis-19057	70	2	,	,	PUNCT
bracis-19057	70	3	the	the	DET
bracis-19057	70	4	maximum	maximum	ADJ
bracis-19057	70	5	possible	possible	ADJ
bracis-19057	70	6	value	value	NOUN
bracis-19057	70	7	for	for	ADP
bracis-19057	70	8	k	k	PROPN
bracis-19057	70	9	will	will	AUX
bracis-19057	70	10	be	be	AUX
bracis-19057	70	11	the	the	DET
bracis-19057	70	12	average	average	ADJ
bracis-19057	70	13	number	number	NOUN
bracis-19057	70	14	of	of	ADP
bracis-19057	70	15	data	datum	NOUN
bracis-19057	70	16	instances	instance	NOUN
bracis-19057	70	17	per	per	ADP
bracis-19057	70	18	class	class	NOUN
bracis-19057	70	19	in	in	ADP
bracis-19057	70	20	the	the	DET
bracis-19057	70	21	dataset	dataset	NOUN
bracis-19057	70	22	multiplied	multiply	VERB
bracis-19057	70	23	by	by	ADP
bracis-19057	70	24	the	the	DET
bracis-19057	70	25	same	same	ADJ
bracis-19057	70	26	parameter	parameter	NOUN
bracis-19057	70	27	p	p	PROPN
bracis-19057	70	28	used	use	VERB
bracis-19057	70	29	for	for	ADP
bracis-19057	70	30	returning	return	VERB
bracis-19057	70	31	the	the	DET
bracis-19057	70	32	quantile	quantile	NOUN
bracis-19057	70	33	from	from	ADP
bracis-19057	70	34	the	the	DET
bracis-19057	70	35	\(\epsilon	\(\epsilon	NOUN
bracis-19057	70	36	\)-radius	\)-radius	NUM
bracis-19057	70	37	technique	technique	NOUN
bracis-19057	70	38	.	.	PUNCT
bracis-19057	71	1	by	by	ADP
bracis-19057	71	2	proceeding	proceed	VERB
bracis-19057	71	3	this	this	DET
bracis-19057	71	4	way	way	NOUN
bracis-19057	71	5	,	,	PUNCT
bracis-19057	71	6	we	we	PRON
bracis-19057	71	7	are	be	AUX
bracis-19057	71	8	therefore	therefore	ADV
bracis-19057	71	9	linking	link	VERB
bracis-19057	71	10	the	the	DET
bracis-19057	71	11	value	value	NOUN
bracis-19057	71	12	of	of	ADP
bracis-19057	71	13	k	k	PROPN
bracis-19057	71	14	to	to	ADP
bracis-19057	71	15	the	the	DET
bracis-19057	71	16	value	value	NOUN
bracis-19057	71	17	of	of	ADP
bracis-19057	71	18	\(\epsilon	\(\epsilon	NOUN
bracis-19057	71	19	\	\	ADJ
bracis-19057	71	20	)	)	PUNCT
bracis-19057	72	1	and	and	CCONJ
bracis-19057	72	2	,	,	PUNCT
bracis-19057	72	3	consequently	consequently	ADV
bracis-19057	72	4	,	,	PUNCT
bracis-19057	72	5	to	to	ADP
bracis-19057	72	6	the	the	DET
bracis-19057	72	7	characteristics	characteristic	NOUN
bracis-19057	72	8	of	of	ADP
bracis-19057	72	9	each	each	DET
bracis-19057	72	10	dataset	dataset	NOUN
bracis-19057	72	11	(	(	PUNCT
bracis-19057	72	12	here	here	ADV
bracis-19057	72	13	represented	represent	VERB
bracis-19057	72	14	by	by	ADP
bracis-19057	72	15	\(\overline{v}\	\(\overline{v}\	NOUN
bracis-19057	72	16	)	)	PUNCT
bracis-19057	72	17	)	)	PUNCT
bracis-19057	72	18	.	.	PUNCT
bracis-19057	73	1	this	this	PRON
bracis-19057	73	2	is	be	AUX
bracis-19057	73	3	also	also	ADV
bracis-19057	73	4	a	a	DET
bracis-19057	73	5	novelty	novelty	NOUN
bracis-19057	73	6	introduced	introduce	VERB
bracis-19057	73	7	in	in	ADP
bracis-19057	73	8	this	this	DET
bracis-19057	73	9	technique	technique	NOUN
bracis-19057	73	10	,	,	PUNCT
bracis-19057	73	11	compared	compare	VERB
bracis-19057	73	12	to	to	ADP
bracis-19057	73	13	its	its	PRON
bracis-19057	73	14	previous	previous	ADJ
bracis-19057	73	15	versions	version	NOUN
bracis-19057	73	16	[	[	X
bracis-19057	73	17	8	8	NUM
bracis-19057	73	18	,	,	PUNCT
bracis-19057	73	19	22	22	NUM
bracis-19057	73	20	]	]	PUNCT
bracis-19057	73	21	,	,	PUNCT
bracis-19057	73	22	with	with	ADP
bracis-19057	73	23	the	the	DET
bracis-19057	73	24	aim	aim	NOUN
bracis-19057	73	25	of	of	ADP
bracis-19057	73	26	avoiding	avoid	VERB
bracis-19057	73	27	exaggerated	exaggerated	ADJ
bracis-19057	73	28	disproportions	disproportion	NOUN
bracis-19057	73	29	between	between	ADP
bracis-19057	73	30	the	the	DET
bracis-19057	73	31	number	number	NOUN
bracis-19057	73	32	of	of	ADP
bracis-19057	73	33	edges	edge	NOUN
bracis-19057	73	34	yielded	yield	VERB
bracis-19057	73	35	by	by	ADP
bracis-19057	73	36	the	the	DET
bracis-19057	73	37	two	two	NUM
bracis-19057	73	38	rules	rule	NOUN
bracis-19057	73	39	.	.	PUNCT
bracis-19057	74	1	with	with	ADP
bracis-19057	74	2	the	the	DET
bracis-19057	74	3	initial	initial	ADJ
bracis-19057	74	4	values	value	NOUN
bracis-19057	74	5	of	of	ADP
bracis-19057	74	6	\(\epsilon	\(\epsilon	NOUN
bracis-19057	74	7	\	\	ADJ
bracis-19057	74	8	)	)	PUNCT
bracis-19057	74	9	and	and	CCONJ
bracis-19057	74	10	k	k	PROPN
bracis-19057	74	11	being	be	AUX
bracis-19057	74	12	set	set	VERB
bracis-19057	74	13	,	,	PUNCT
bracis-19057	74	14	the	the	DET
bracis-19057	74	15	model	model	NOUN
bracis-19057	74	16	then	then	ADV
bracis-19057	74	17	proceeds	proceed	VERB
bracis-19057	74	18	to	to	PART
bracis-19057	74	19	generate	generate	VERB
bracis-19057	74	20	the	the	DET
bracis-19057	74	21	edges	edge	NOUN
bracis-19057	74	22	of	of	ADP
bracis-19057	74	23	the	the	DET
bracis-19057	74	24	network	network	NOUN
bracis-19057	74	25	\(\mathcal	\(\mathcal	ADJ
bracis-19057	74	26	{	{	PUNCT
bracis-19057	74	27	g}\	g}\	NOUN
bracis-19057	74	28	)	)	PUNCT
bracis-19057	74	29	.	.	PUNCT
bracis-19057	75	1	the	the	DET
bracis-19057	75	2	neighbors	neighbor	NOUN
bracis-19057	75	3	to	to	PART
bracis-19057	75	4	be	be	AUX
bracis-19057	75	5	connected	connect	VERB
bracis-19057	75	6	to	to	ADP
bracis-19057	75	7	a	a	DET
bracis-19057	75	8	training	training	NOUN
bracis-19057	75	9	node	node	NOUN
bracis-19057	75	10	\(x_{i}\	\(x_{i}\	PRON
bracis-19057	75	11	)	)	PUNCT
bracis-19057	75	12	are	be	AUX
bracis-19057	75	13	yielded	yield	VERB
bracis-19057	75	14	by	by	ADP
bracis-19057	75	15	:	:	PUNCT
bracis-19057	75	16	$	$	SYM
bracis-19057	75	17	$	$	SYM
bracis-19057	75	18	\begin{aligned	\begin{aligne	VERB
bracis-19057	75	19	}	}	PUNCT
bracis-19057	75	20	n(x_i	n(x_i	PROPN
bracis-19057	75	21	)	)	PUNCT
bracis-19057	75	22	=	=	SYM
bracis-19057	75	23	{	{	PUNCT
bracis-19057	75	24	\left\	\left\	PROPN
bracis-19057	75	25	{	{	PUNCT
bracis-19057	75	26	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-19057	75	27	}	}	PUNCT
bracis-19057	75	28	\epsilon	\epsilon	NOUN
bracis-19057	75	29	\text	\text	ADV
bracis-19057	75	30	{	{	PUNCT
bracis-19057	75	31	-radius}(x_i	-radius}(x_i	PROPN
bracis-19057	75	32	,	,	PUNCT
bracis-19057	75	33	y_i	y_i	NUM
bracis-19057	75	34	)	)	PUNCT
bracis-19057	75	35	,	,	PUNCT
bracis-19057	76	1	\text	\text	ADP
bracis-19057	76	2	{	{	PUNCT
bracis-19057	76	3	if	if	SCONJ
bracis-19057	76	4	}	}	PUNCT
bracis-19057	76	5	\epsilon	\epsilon	NOUN
bracis-19057	76	6	\text	\text	ADV
bracis-19057	76	7	{	{	PUNCT
bracis-19057	76	8	-radius}(x_i	-radius}(x_i	PROPN
bracis-19057	76	9	,	,	PUNCT
bracis-19057	76	10	y_i	y_i	NUM
bracis-19057	76	11	)	)	PUNCT
bracis-19057	76	12	>	>	X
bracis-19057	77	1	k	k	PROPN
bracis-19057	77	2	\\	\\	NOUN
bracis-19057	77	3	k\text	k\text	VERB
bracis-19057	77	4	{	{	PUNCT
bracis-19057	77	5	nn}(x_i	nn}(x_i	PROPN
bracis-19057	77	6	,	,	PUNCT
bracis-19057	77	7	y_i	y_i	PROPN
bracis-19057	77	8	)	)	PUNCT
bracis-19057	77	9	,	,	PUNCT
bracis-19057	77	10	\text	\text	ADP
bracis-19057	77	11	{	{	PUNCT
bracis-19057	77	12	otherwise	otherwise	ADV
bracis-19057	77	13	}	}	PUNCT
bracis-19057	77	14	\quad	\quad	PROPN
bracis-19057	77	15	,	,	PUNCT
bracis-19057	77	16	\end{array}\right	\end{array}\right	PROPN
bracis-19057	77	17	.	.	PUNCT
bracis-19057	77	18	}	}	PUNCT
bracis-19057	77	19	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	78	1	(	(	PUNCT
bracis-19057	78	2	3	3	NUM
bracis-19057	78	3	)	)	PUNCT
bracis-19057	78	4	where	where	SCONJ
bracis-19057	78	5	\(y_i\	\(y_i\	NOUN
bracis-19057	78	6	)	)	PUNCT
bracis-19057	78	7	denotes	denote	VERB
bracis-19057	78	8	the	the	DET
bracis-19057	78	9	class	class	NOUN
bracis-19057	78	10	label	label	NOUN
bracis-19057	78	11	of	of	ADP
bracis-19057	78	12	the	the	DET
bracis-19057	78	13	training	training	NOUN
bracis-19057	78	14	instance	instance	NOUN
bracis-19057	78	15	\(x_{i}\	\(x_{i}\	PROPN
bracis-19057	78	16	)	)	PUNCT
bracis-19057	78	17	,	,	PUNCT
bracis-19057	78	18	\(\epsilon	\(\epsilon	NOUN
bracis-19057	78	19	\text	\text	PROPN
bracis-19057	78	20	{	{	PUNCT
bracis-19057	78	21	-radius}(x_i	-radius}(x_i	PROPN
bracis-19057	78	22	,	,	PUNCT
bracis-19057	78	23	y_i)\	y_i)\	NUM
bracis-19057	78	24	)	)	PUNCT
bracis-19057	78	25	returns	return	VERB
bracis-19057	78	26	the	the	DET
bracis-19057	78	27	set	set	NOUN
bracis-19057	78	28	\(\{x_j	\(\{x_j	PROPN
bracis-19057	78	29	,	,	PUNCT
bracis-19057	78	30	\forall	\forall	DET
bracis-19057	78	31	j	j	PROPN
bracis-19057	78	32	\in	\in	PROPN
bracis-19057	78	33	\mathcal	\mathcal	PROPN
bracis-19057	78	34	{	{	PUNCT
bracis-19057	78	35	v	v	NOUN
bracis-19057	78	36	}	}	PUNCT
bracis-19057	78	37	\mid	\mid	ADP
bracis-19057	78	38	dist(x_i	dist(x_i	PROPN
bracis-19057	78	39	,	,	PUNCT
bracis-19057	78	40	x_j	x_j	SYM
bracis-19057	78	41	)	)	PUNCT
bracis-19057	78	42	\le	\le	PROPN
bracis-19057	78	43	\epsilon	\epsilon	NOUN
bracis-19057	78	44	\wedge	\wedge	PROPN
bracis-19057	78	45	y_i	y_i	PROPN
bracis-19057	78	46	=	=	PROPN
bracis-19057	78	47	y_j\}\	y_j\}\	NOUN
bracis-19057	78	48	)	)	PUNCT
bracis-19057	78	49	,	,	PUNCT
bracis-19057	78	50	and	and	CCONJ
bracis-19057	78	51	knn\((x_i	knn\((x_i	PROPN
bracis-19057	78	52	,	,	PUNCT
bracis-19057	78	53	y_i)\	y_i)\	NUM
bracis-19057	78	54	)	)	PUNCT
bracis-19057	78	55	returns	return	VERB
bracis-19057	78	56	the	the	DET
bracis-19057	78	57	set	set	NOUN
bracis-19057	78	58	containing	contain	VERB
bracis-19057	78	59	the	the	DET
bracis-19057	78	60	k	k	PROPN
bracis-19057	78	61	nearest	near	ADJ
bracis-19057	78	62	vertices	vertex	NOUN
bracis-19057	78	63	of	of	ADP
bracis-19057	78	64	the	the	DET
bracis-19057	78	65	same	same	ADJ
bracis-19057	78	66	class	class	NOUN
bracis-19057	78	67	of	of	ADP
bracis-19057	78	68	\(x_i\	\(x_i\	NOUN
bracis-19057	78	69	)	)	PUNCT
bracis-19057	78	70	.	.	PUNCT
bracis-19057	79	1	a	a	DET
bracis-19057	79	2	common	common	ADJ
bracis-19057	79	3	issue	issue	NOUN
bracis-19057	79	4	regarding	regard	VERB
bracis-19057	79	5	the	the	DET
bracis-19057	79	6	application	application	NOUN
bracis-19057	79	7	of	of	ADP
bracis-19057	79	8	network	network	NOUN
bracis-19057	79	9	-	-	PUNCT
bracis-19057	79	10	based	base	VERB
bracis-19057	79	11	techniques	technique	NOUN
bracis-19057	79	12	on	on	ADP
bracis-19057	79	13	larger	large	ADJ
bracis-19057	79	14	datasets	dataset	NOUN
bracis-19057	79	15	is	be	AUX
bracis-19057	79	16	that	that	SCONJ
bracis-19057	79	17	,	,	PUNCT
bracis-19057	79	18	depending	depend	VERB
bracis-19057	79	19	on	on	ADP
bracis-19057	79	20	the	the	DET
bracis-19057	79	21	available	available	ADJ
bracis-19057	79	22	computational	computational	ADJ
bracis-19057	79	23	resources	resource	NOUN
bracis-19057	79	24	,	,	PUNCT
bracis-19057	79	25	the	the	DET
bracis-19057	79	26	process	process	NOUN
bracis-19057	79	27	may	may	AUX
bracis-19057	79	28	become	become	VERB
bracis-19057	79	29	too	too	ADV
bracis-19057	79	30	expensive	expensive	ADJ
bracis-19057	79	31	,	,	PUNCT
bracis-19057	79	32	both	both	CCONJ
bracis-19057	79	33	in	in	ADP
bracis-19057	79	34	terms	term	NOUN
bracis-19057	79	35	of	of	ADP
bracis-19057	79	36	processing	processing	NOUN
bracis-19057	79	37	power	power	NOUN
bracis-19057	79	38	and	and	CCONJ
bracis-19057	79	39	memory	memory	NOUN
bracis-19057	79	40	consumption	consumption	NOUN
bracis-19057	79	41	.	.	PUNCT
bracis-19057	80	1	for	for	ADP
bracis-19057	80	2	this	this	DET
bracis-19057	80	3	reason	reason	NOUN
bracis-19057	80	4	,	,	PUNCT
bracis-19057	80	5	in	in	ADP
bracis-19057	80	6	this	this	DET
bracis-19057	80	7	study	study	NOUN
bracis-19057	80	8	,	,	PUNCT
bracis-19057	80	9	we	we	PRON
bracis-19057	80	10	introduce	introduce	VERB
bracis-19057	80	11	an	an	DET
bracis-19057	80	12	option	option	NOUN
bracis-19057	80	13	to	to	PART
bracis-19057	80	14	reduce	reduce	VERB
bracis-19057	80	15	the	the	DET
bracis-19057	80	16	number	number	NOUN
bracis-19057	80	17	of	of	ADP
bracis-19057	80	18	vertices	vertex	NOUN
bracis-19057	80	19	in	in	ADP
bracis-19057	80	20	the	the	DET
bracis-19057	80	21	network	network	NOUN
bracis-19057	80	22	,	,	PUNCT
bracis-19057	80	23	for	for	ADP
bracis-19057	80	24	the	the	DET
bracis-19057	80	25	sake	sake	NOUN
bracis-19057	80	26	of	of	ADP
bracis-19057	80	27	saving	save	VERB
bracis-19057	80	28	processing	processing	NOUN
bracis-19057	80	29	time	time	NOUN
bracis-19057	80	30	and	and	CCONJ
bracis-19057	80	31	memory	memory	NOUN
bracis-19057	80	32	resources	resource	NOUN
bracis-19057	80	33	,	,	PUNCT
bracis-19057	80	34	both	both	CCONJ
bracis-19057	80	35	in	in	ADP
bracis-19057	80	36	the	the	DET
bracis-19057	80	37	training	training	NOUN
bracis-19057	80	38	and	and	CCONJ
bracis-19057	80	39	testing	testing	NOUN
bracis-19057	80	40	phases	phase	NOUN
bracis-19057	80	41	.	.	PUNCT
bracis-19057	81	1	there	there	PRON
bracis-19057	81	2	are	be	VERB
bracis-19057	81	3	different	different	ADJ
bracis-19057	81	4	possible	possible	ADJ
bracis-19057	81	5	strategies	strategy	NOUN
bracis-19057	81	6	for	for	ADP
bracis-19057	81	7	reducing	reduce	VERB
bracis-19057	81	8	a	a	DET
bracis-19057	81	9	network	network	NOUN
bracis-19057	81	10	[	[	X
bracis-19057	81	11	24	24	NUM
bracis-19057	81	12	]	]	PUNCT
bracis-19057	81	13	and	and	CCONJ
bracis-19057	81	14	,	,	PUNCT
bracis-19057	81	15	in	in	ADP
bracis-19057	81	16	this	this	DET
bracis-19057	81	17	work	work	NOUN
bracis-19057	81	18	,	,	PUNCT
bracis-19057	81	19	we	we	PRON
bracis-19057	81	20	opt	opt	VERB
bracis-19057	81	21	for	for	ADP
bracis-19057	81	22	one	one	NUM
bracis-19057	81	23	which	which	PRON
bracis-19057	81	24	consists	consist	VERB
bracis-19057	81	25	in	in	ADP
bracis-19057	81	26	keeping	keep	VERB
bracis-19057	81	27	only	only	ADV
bracis-19057	81	28	the	the	DET
bracis-19057	81	29	nodes	node	NOUN
bracis-19057	81	30	that	that	PRON
bracis-19057	81	31	occupy	occupy	VERB
bracis-19057	81	32	more	more	ADJ
bracis-19057	81	33	central	central	ADJ
bracis-19057	81	34	positions	position	NOUN
bracis-19057	81	35	in	in	ADP
bracis-19057	81	36	it	it	PRON
bracis-19057	81	37	,	,	PUNCT
bracis-19057	81	38	measured	measure	VERB
bracis-19057	81	39	in	in	ADP
bracis-19057	81	40	terms	term	NOUN
bracis-19057	81	41	of	of	ADP
bracis-19057	81	42	the	the	DET
bracis-19057	81	43	betweenness	betweenness	ADJ
bracis-19057	81	44	centrality	centrality	NOUN
bracis-19057	81	45	[	[	X
bracis-19057	81	46	3	3	NUM
bracis-19057	81	47	]	]	PUNCT
bracis-19057	81	48	.	.	PUNCT
bracis-19057	82	1	this	this	DET
bracis-19057	82	2	measure	measure	NOUN
bracis-19057	82	3	,	,	PUNCT
bracis-19057	82	4	broadly	broadly	ADV
bracis-19057	82	5	speaking	speak	VERB
bracis-19057	82	6	,	,	PUNCT
bracis-19057	82	7	estimates	estimate	VERB
bracis-19057	82	8	the	the	DET
bracis-19057	82	9	extent	extent	NOUN
bracis-19057	82	10	to	to	PART
bracis-19057	82	11	which	which	PRON
bracis-19057	82	12	a	a	DET
bracis-19057	82	13	vertex	vertex	NOUN
bracis-19057	82	14	lies	lie	VERB
bracis-19057	82	15	on	on	ADP
bracis-19057	82	16	paths	path	NOUN
bracis-19057	82	17	between	between	ADP
bracis-19057	82	18	other	other	ADJ
bracis-19057	82	19	vertices	vertex	NOUN
bracis-19057	82	20	,	,	PUNCT
bracis-19057	82	21	and	and	CCONJ
bracis-19057	82	22	is	be	AUX
bracis-19057	82	23	considered	consider	VERB
bracis-19057	82	24	essential	essential	ADJ
bracis-19057	82	25	in	in	ADP
bracis-19057	82	26	the	the	DET
bracis-19057	82	27	analysis	analysis	NOUN
bracis-19057	82	28	of	of	ADP
bracis-19057	82	29	complex	complex	ADJ
bracis-19057	82	30	networks	network	NOUN
bracis-19057	82	31	.	.	PUNCT
bracis-19057	83	1	in	in	ADP
bracis-19057	83	2	a	a	DET
bracis-19057	83	3	network	network	NOUN
bracis-19057	83	4	that	that	PRON
bracis-19057	83	5	does	do	AUX
bracis-19057	83	6	not	not	PART
bracis-19057	83	7	present	present	VERB
bracis-19057	83	8	communities	community	NOUN
bracis-19057	83	9	,	,	PUNCT
bracis-19057	83	10	the	the	DET
bracis-19057	83	11	nodes	node	NOUN
bracis-19057	83	12	with	with	ADP
bracis-19057	83	13	higher	high	ADJ
bracis-19057	83	14	betweenness	betweenness	NOUN
bracis-19057	83	15	centrality	centrality	NOUN
bracis-19057	83	16	are	be	AUX
bracis-19057	83	17	among	among	ADP
bracis-19057	83	18	the	the	DET
bracis-19057	83	19	most	most	ADV
bracis-19057	83	20	influential	influential	ADJ
bracis-19057	83	21	ones	one	NOUN
bracis-19057	83	22	[	[	X
bracis-19057	83	23	7	7	NUM
bracis-19057	83	24	]	]	PUNCT
bracis-19057	83	25	,	,	PUNCT
bracis-19057	83	26	while	while	SCONJ
bracis-19057	83	27	in	in	ADP
bracis-19057	83	28	networks	network	NOUN
bracis-19057	83	29	that	that	PRON
bracis-19057	83	30	present	present	ADJ
bracis-19057	83	31	communities	community	NOUN
bracis-19057	83	32	,	,	PUNCT
bracis-19057	83	33	these	these	DET
bracis-19057	83	34	nodes	node	NOUN
bracis-19057	83	35	are	be	AUX
bracis-19057	83	36	the	the	DET
bracis-19057	83	37	ones	one	NOUN
bracis-19057	83	38	which	which	PRON
bracis-19057	83	39	usually	usually	ADV
bracis-19057	83	40	work	work	VERB
bracis-19057	83	41	as	as	ADP
bracis-19057	83	42	links	link	NOUN
bracis-19057	83	43	between	between	ADP
bracis-19057	83	44	the	the	DET
bracis-19057	83	45	communities	community	NOUN
bracis-19057	83	46	.	.	PUNCT
bracis-19057	84	1	we	we	PRON
bracis-19057	84	2	chose	choose	VERB
bracis-19057	84	3	to	to	PART
bracis-19057	84	4	use	use	VERB
bracis-19057	84	5	this	this	DET
bracis-19057	84	6	measure	measure	NOUN
bracis-19057	84	7	for	for	ADP
bracis-19057	84	8	believing	believe	VERB
bracis-19057	84	9	that	that	SCONJ
bracis-19057	84	10	it	it	PRON
bracis-19057	84	11	is	be	AUX
bracis-19057	84	12	able	able	ADJ
bracis-19057	84	13	to	to	PART
bracis-19057	84	14	identify	identify	VERB
bracis-19057	84	15	the	the	DET
bracis-19057	84	16	most	most	ADV
bracis-19057	84	17	representative	representative	ADJ
bracis-19057	84	18	nodes	node	NOUN
bracis-19057	84	19	in	in	ADP
bracis-19057	84	20	the	the	DET
bracis-19057	84	21	network	network	NOUN
bracis-19057	84	22	,	,	PUNCT
bracis-19057	84	23	such	such	ADJ
bracis-19057	84	24	that	that	SCONJ
bracis-19057	84	25	only	only	ADV
bracis-19057	84	26	these	these	DET
bracis-19057	84	27	selected	select	VERB
bracis-19057	84	28	nodes	node	NOUN
bracis-19057	84	29	can	can	AUX
bracis-19057	84	30	be	be	AUX
bracis-19057	84	31	used	use	VERB
bracis-19057	84	32	in	in	ADP
bracis-19057	84	33	the	the	DET
bracis-19057	84	34	classification	classification	NOUN
bracis-19057	84	35	task	task	NOUN
bracis-19057	84	36	.	.	PUNCT
bracis-19057	85	1	for	for	ADP
bracis-19057	85	2	controlling	control	VERB
bracis-19057	85	3	this	this	DET
bracis-19057	85	4	option	option	NOUN
bracis-19057	85	5	,	,	PUNCT
bracis-19057	85	6	we	we	PRON
bracis-19057	85	7	add	add	VERB
bracis-19057	85	8	a	a	DET
bracis-19057	85	9	reduction	reduction	NOUN
bracis-19057	85	10	parameter	parameter	NOUN
bracis-19057	85	11	\(r	\(r	VERB
bracis-19057	85	12	\in	\in	ADJ
bracis-19057	86	1	[	[	X
bracis-19057	86	2	0	0	NUM
bracis-19057	86	3	,	,	PUNCT
bracis-19057	86	4	1]\	1]\	NUM
bracis-19057	86	5	)	)	PUNCT
bracis-19057	86	6	in	in	ADP
bracis-19057	86	7	the	the	DET
bracis-19057	86	8	model	model	NOUN
bracis-19057	86	9	,	,	PUNCT
bracis-19057	86	10	such	such	ADJ
bracis-19057	86	11	that	that	SCONJ
bracis-19057	86	12	when	when	SCONJ
bracis-19057	86	13	its	its	PRON
bracis-19057	86	14	value	value	NOUN
bracis-19057	86	15	is	be	AUX
bracis-19057	86	16	set	set	VERB
bracis-19057	86	17	as	as	ADP
bracis-19057	86	18	less	less	ADJ
bracis-19057	86	19	than	than	ADP
bracis-19057	86	20	1	1	NUM
bracis-19057	86	21	,	,	PUNCT
bracis-19057	86	22	only	only	ADV
bracis-19057	86	23	the	the	DET
bracis-19057	86	24	ratio	ratio	NOUN
bracis-19057	86	25	of	of	ADP
bracis-19057	86	26	r	r	NOUN
bracis-19057	86	27	vertices	vertex	NOUN
bracis-19057	86	28	with	with	ADP
bracis-19057	86	29	higher	high	ADJ
bracis-19057	86	30	betweenness	betweenness	NOUN
bracis-19057	86	31	centrality	centrality	NOUN
bracis-19057	86	32	are	be	AUX
bracis-19057	86	33	kept	keep	VERB
bracis-19057	86	34	in	in	ADP
bracis-19057	86	35	the	the	DET
bracis-19057	86	36	network	network	NOUN
bracis-19057	86	37	.	.	PUNCT
bracis-19057	87	1	in	in	ADP
bracis-19057	87	2	this	this	DET
bracis-19057	87	3	case	case	NOUN
bracis-19057	87	4	,	,	PUNCT
bracis-19057	87	5	the	the	DET
bracis-19057	87	6	values	value	NOUN
bracis-19057	87	7	in	in	ADP
bracis-19057	87	8	\(x_{train}\	\(x_{train}\	NUM
bracis-19057	87	9	)	)	PUNCT
bracis-19057	87	10	and	and	CCONJ
bracis-19057	87	11	y	y	PROPN
bracis-19057	87	12	are	be	AUX
bracis-19057	87	13	also	also	ADV
bracis-19057	87	14	reduced	reduce	VERB
bracis-19057	87	15	,	,	PUNCT
bracis-19057	87	16	accordingly	accordingly	ADV
bracis-19057	87	17	.	.	PUNCT
bracis-19057	88	1	the	the	DET
bracis-19057	88	2	value	value	NOUN
bracis-19057	88	3	of	of	ADP
bracis-19057	88	4	\(\epsilon	\(\epsilon	NOUN
bracis-19057	88	5	\	\	NOUN
bracis-19057	88	6	)	)	PUNCT
bracis-19057	88	7	is	be	AUX
bracis-19057	88	8	updated	update	VERB
bracis-19057	88	9	,	,	PUNCT
bracis-19057	88	10	and	and	CCONJ
bracis-19057	88	11	the	the	DET
bracis-19057	88	12	network	network	NOUN
bracis-19057	88	13	edges	edge	NOUN
bracis-19057	88	14	are	be	AUX
bracis-19057	88	15	generated	generate	VERB
bracis-19057	88	16	again	again	ADV
bracis-19057	88	17	,	,	PUNCT
bracis-19057	88	18	by	by	ADP
bracis-19057	88	19	using	use	VERB
bracis-19057	88	20	the	the	DET
bracis-19057	88	21	same	same	ADJ
bracis-19057	88	22	rules	rule	NOUN
bracis-19057	88	23	provided	provide	VERB
bracis-19057	88	24	in	in	ADP
bracis-19057	88	25	eq	eq	PROPN
bracis-19057	88	26	.	.	PUNCT
bracis-19057	88	27	 	 	SPACE
bracis-19057	88	28	2	2	NUM
bracis-19057	88	29	and	and	CCONJ
bracis-19057	88	30	eq	eq	NOUN
bracis-19057	88	31	.	.	PUNCT
bracis-19057	88	32	 	 	SPACE
bracis-19057	88	33	3	3	X
bracis-19057	88	34	.	.	PUNCT
bracis-19057	89	1	if	if	SCONJ
bracis-19057	89	2	,	,	PUNCT
bracis-19057	89	3	after	after	ADP
bracis-19057	89	4	this	this	DET
bracis-19057	89	5	procedure	procedure	NOUN
bracis-19057	89	6	,	,	PUNCT
bracis-19057	89	7	the	the	DET
bracis-19057	89	8	number	number	NOUN
bracis-19057	89	9	of	of	ADP
bracis-19057	89	10	components	component	NOUN
bracis-19057	89	11	in	in	ADP
bracis-19057	89	12	the	the	DET
bracis-19057	89	13	network	network	NOUN
bracis-19057	89	14	is	be	AUX
bracis-19057	89	15	higher	high	ADJ
bracis-19057	89	16	than	than	ADP
bracis-19057	89	17	the	the	DET
bracis-19057	89	18	number	number	NOUN
bracis-19057	89	19	of	of	ADP
bracis-19057	89	20	classes	class	NOUN
bracis-19057	89	21	in	in	ADP
bracis-19057	89	22	the	the	DET
bracis-19057	89	23	dataset	dataset	NOUN
bracis-19057	89	24	,	,	PUNCT
bracis-19057	89	25	then	then	ADV
bracis-19057	89	26	the	the	DET
bracis-19057	89	27	value	value	NOUN
bracis-19057	89	28	of	of	ADP
bracis-19057	89	29	k	k	PROPN
bracis-19057	89	30	is	be	AUX
bracis-19057	89	31	increased	increase	VERB
bracis-19057	89	32	by	by	ADP
bracis-19057	89	33	1	1	NUM
bracis-19057	89	34	,	,	PUNCT
bracis-19057	89	35	and	and	CCONJ
bracis-19057	89	36	the	the	DET
bracis-19057	89	37	edges	edge	NOUN
bracis-19057	89	38	are	be	AUX
bracis-19057	89	39	updated	update	VERB
bracis-19057	89	40	again	again	ADV
bracis-19057	89	41	.	.	PUNCT
bracis-19057	90	1	this	this	DET
bracis-19057	90	2	step	step	NOUN
bracis-19057	90	3	can	can	AUX
bracis-19057	90	4	be	be	AUX
bracis-19057	90	5	repeated	repeat	VERB
bracis-19057	90	6	more	more	ADJ
bracis-19057	90	7	times	time	NOUN
bracis-19057	90	8	,	,	PUNCT
bracis-19057	90	9	if	if	SCONJ
bracis-19057	90	10	necessary	necessary	ADJ
bracis-19057	90	11	,	,	PUNCT
bracis-19057	90	12	until	until	SCONJ
bracis-19057	90	13	we	we	PRON
bracis-19057	90	14	have	have	VERB
bracis-19057	90	15	,	,	PUNCT
bracis-19057	90	16	at	at	ADP
bracis-19057	90	17	the	the	DET
bracis-19057	90	18	end	end	NOUN
bracis-19057	90	19	,	,	PUNCT
bracis-19057	90	20	one	one	NUM
bracis-19057	90	21	component	component	NOUN
bracis-19057	90	22	in	in	ADP
bracis-19057	90	23	the	the	DET
bracis-19057	90	24	network	network	NOUN
bracis-19057	90	25	per	per	ADP
bracis-19057	90	26	class	class	NOUN
bracis-19057	90	27	in	in	ADP
bracis-19057	90	28	the	the	DET
bracis-19057	90	29	dataset	dataset	NOUN
bracis-19057	90	30	.	.	PUNCT
bracis-19057	91	1	the	the	DET
bracis-19057	91	2	complete	complete	ADJ
bracis-19057	91	3	process	process	NOUN
bracis-19057	91	4	of	of	ADP
bracis-19057	91	5	the	the	DET
bracis-19057	91	6	training	training	NOUN
bracis-19057	91	7	phase	phase	NOUN
bracis-19057	91	8	is	be	AUX
bracis-19057	91	9	outlined	outline	VERB
bracis-19057	91	10	in	in	ADP
bracis-19057	91	11	algorithm	algorithm	NOUN
bracis-19057	91	12	1	1	NUM
bracis-19057	91	13	.	.	PUNCT
bracis-19057	92	1	in	in	ADP
bracis-19057	92	2	line	line	NOUN
bracis-19057	92	3	2	2	NUM
bracis-19057	92	4	,	,	PUNCT
bracis-19057	92	5	there	there	PRON
bracis-19057	92	6	is	be	VERB
bracis-19057	92	7	the	the	DET
bracis-19057	92	8	balancing	balancing	NOUN
bracis-19057	92	9	task	task	NOUN
bracis-19057	92	10	,	,	PUNCT
bracis-19057	92	11	in	in	ADP
bracis-19057	92	12	which	which	PRON
bracis-19057	92	13	the	the	DET
bracis-19057	92	14	parameter	parameter	NOUN
bracis-19057	92	15	\(\alpha	\(\alpha	NOUN
bracis-19057	92	16	\	\	NOUN
bracis-19057	92	17	)	)	PUNCT
bracis-19057	92	18	is	be	AUX
bracis-19057	92	19	generated	generate	VERB
bracis-19057	92	20	.	.	PUNCT
bracis-19057	93	1	then	then	ADV
bracis-19057	93	2	,	,	PUNCT
bracis-19057	93	3	in	in	ADP
bracis-19057	93	4	line	line	NOUN
bracis-19057	93	5	3	3	NUM
bracis-19057	93	6	,	,	PUNCT
bracis-19057	93	7	the	the	DET
bracis-19057	93	8	network	network	NOUN
bracis-19057	93	9	\(\mathcal	\(\mathcal	ADJ
bracis-19057	93	10	{	{	PUNCT
bracis-19057	93	11	g}\	g}\	NOUN
bracis-19057	93	12	)	)	PUNCT
bracis-19057	93	13	is	be	AUX
bracis-19057	93	14	built	build	VERB
bracis-19057	93	15	,	,	PUNCT
bracis-19057	93	16	by	by	ADP
bracis-19057	93	17	using	use	VERB
bracis-19057	93	18	the	the	DET
bracis-19057	93	19	values	value	NOUN
bracis-19057	93	20	of	of	ADP
bracis-19057	93	21	parameters	parameter	NOUN
bracis-19057	93	22	\(\epsilon	\(\epsilon	NOUN
bracis-19057	93	23	\	\	NOUN
bracis-19057	93	24	)	)	PUNCT
bracis-19057	93	25	and	and	CCONJ
bracis-19057	93	26	k.	k.	PROPN
bracis-19057	93	27	in	in	ADP
bracis-19057	93	28	lines	line	NOUN
bracis-19057	93	29	4–7	4–7	PROPN
bracis-19057	93	30	,	,	PUNCT
bracis-19057	93	31	there	there	PRON
bracis-19057	93	32	is	be	VERB
bracis-19057	93	33	the	the	DET
bracis-19057	93	34	optional	optional	ADJ
bracis-19057	93	35	procedure	procedure	NOUN
bracis-19057	93	36	to	to	PART
bracis-19057	93	37	reduce	reduce	VERB
bracis-19057	93	38	the	the	DET
bracis-19057	93	39	network	network	NOUN
bracis-19057	93	40	,	,	PUNCT
bracis-19057	93	41	by	by	ADP
bracis-19057	93	42	leaving	leave	VERB
bracis-19057	93	43	only	only	ADV
bracis-19057	93	44	its	its	PRON
bracis-19057	93	45	\(r\%\	\(r\%\	NOUN
bracis-19057	93	46	)	)	PUNCT
bracis-19057	93	47	most	most	ADJ
bracis-19057	93	48	central	central	ADJ
bracis-19057	93	49	nodes	node	NOUN
bracis-19057	93	50	.	.	PUNCT
bracis-19057	94	1	in	in	ADP
bracis-19057	94	2	lines	line	NOUN
bracis-19057	94	3	8–10	8–10	NOUN
bracis-19057	94	4	,	,	PUNCT
bracis-19057	94	5	we	we	PRON
bracis-19057	94	6	have	have	VERB
bracis-19057	94	7	the	the	DET
bracis-19057	94	8	validation	validation	NOUN
bracis-19057	94	9	of	of	ADP
bracis-19057	94	10	whether	whether	SCONJ
bracis-19057	94	11	the	the	DET
bracis-19057	94	12	number	number	NOUN
bracis-19057	94	13	of	of	ADP
bracis-19057	94	14	network	network	NOUN
bracis-19057	94	15	components	component	NOUN
bracis-19057	94	16	is	be	AUX
bracis-19057	94	17	equal	equal	ADJ
bracis-19057	94	18	to	to	ADP
bracis-19057	94	19	the	the	DET
bracis-19057	94	20	number	number	NOUN
bracis-19057	94	21	of	of	ADP
bracis-19057	94	22	classes	class	NOUN
bracis-19057	94	23	in	in	ADP
bracis-19057	94	24	the	the	DET
bracis-19057	94	25	dataset	dataset	NOUN
bracis-19057	94	26	,	,	PUNCT
bracis-19057	94	27	with	with	SCONJ
bracis-19057	94	28	the	the	DET
bracis-19057	94	29	parameter	parameter	NOUN
bracis-19057	94	30	k	k	PROPN
bracis-19057	94	31	and	and	CCONJ
bracis-19057	94	32	the	the	DET
bracis-19057	94	33	network	network	NOUN
bracis-19057	94	34	\(\mathcal	\(\mathcal	ADJ
bracis-19057	94	35	{	{	PUNCT
bracis-19057	94	36	g}\	g}\	X
bracis-19057	94	37	)	)	PUNCT
bracis-19057	94	38	being	be	AUX
bracis-19057	94	39	updated	update	VERB
bracis-19057	94	40	,	,	PUNCT
bracis-19057	94	41	if	if	SCONJ
bracis-19057	94	42	necessary	necessary	ADJ
bracis-19057	94	43	.	.	PUNCT
bracis-19057	95	1	2.2	2.2	NUM
bracis-19057	95	2	description	description	NOUN
bracis-19057	95	3	of	of	ADP
bracis-19057	95	4	 	 	SPACE
bracis-19057	95	5	the	the	DET
bracis-19057	95	6	 	 	SPACE
bracis-19057	95	7	testing	testing	NOUN
bracis-19057	95	8	phase	phase	NOUN
bracis-19057	95	9	in	in	ADP
bracis-19057	95	10	the	the	DET
bracis-19057	95	11	testing	testing	NOUN
bracis-19057	95	12	phase	phase	NOUN
bracis-19057	95	13	,	,	PUNCT
bracis-19057	95	14	the	the	DET
bracis-19057	95	15	data	data	NOUN
bracis-19057	95	16	instances	instance	NOUN
bracis-19057	95	17	from	from	ADP
bracis-19057	95	18	\(x_{test}\	\(x_{test}\	PROPN
bracis-19057	95	19	)	)	PUNCT
bracis-19057	95	20	are	be	AUX
bracis-19057	95	21	inserted	insert	VERB
bracis-19057	95	22	as	as	ADP
bracis-19057	95	23	new	new	ADJ
bracis-19057	95	24	vertices	vertex	NOUN
bracis-19057	95	25	in	in	ADP
bracis-19057	95	26	the	the	DET
bracis-19057	95	27	network	network	NOUN
bracis-19057	95	28	\(\mathcal	\(\mathcal	ADJ
bracis-19057	95	29	{	{	PUNCT
bracis-19057	95	30	g}\	g}\	PROPN
bracis-19057	95	31	)	)	PUNCT
bracis-19057	95	32	,	,	PUNCT
bracis-19057	95	33	one	one	NUM
bracis-19057	95	34	at	at	ADP
bracis-19057	95	35	a	a	DET
bracis-19057	95	36	time	time	NOUN
bracis-19057	95	37	,	,	PUNCT
bracis-19057	95	38	and	and	CCONJ
bracis-19057	95	39	the	the	DET
bracis-19057	95	40	model	model	NOUN
bracis-19057	95	41	then	then	ADV
bracis-19057	95	42	needs	need	VERB
bracis-19057	95	43	to	to	PART
bracis-19057	95	44	infer	infer	VERB
bracis-19057	95	45	the	the	DET
bracis-19057	95	46	label	label	NOUN
bracis-19057	95	47	of	of	ADP
bracis-19057	95	48	each	each	DET
bracis-19057	95	49	testing	testing	NOUN
bracis-19057	95	50	instance	instance	NOUN
bracis-19057	95	51	.	.	PUNCT
bracis-19057	96	1	the	the	DET
bracis-19057	96	2	model	model	NOUN
bracis-19057	96	3	extracts	extract	VERB
bracis-19057	96	4	two	two	NUM
bracis-19057	96	5	groups	group	NOUN
bracis-19057	96	6	of	of	ADP
bracis-19057	96	7	network	network	NOUN
bracis-19057	96	8	measures	measure	NOUN
bracis-19057	96	9	for	for	ADP
bracis-19057	96	10	each	each	DET
bracis-19057	96	11	component	component	NOUN
bracis-19057	96	12	,	,	PUNCT
bracis-19057	96	13	before	before	ADP
bracis-19057	96	14	and	and	CCONJ
bracis-19057	96	15	after	after	ADP
bracis-19057	96	16	the	the	DET
bracis-19057	96	17	insertion	insertion	NOUN
bracis-19057	96	18	of	of	ADP
bracis-19057	96	19	a	a	DET
bracis-19057	96	20	testing	testing	NOUN
bracis-19057	96	21	instance	instance	NOUN
bracis-19057	96	22	,	,	PUNCT
bracis-19057	96	23	respectively	respectively	ADV
bracis-19057	96	24	.	.	PUNCT
bracis-19057	97	1	the	the	DET
bracis-19057	97	2	testing	testing	NOUN
bracis-19057	97	3	instance	instance	NOUN
bracis-19057	97	4	is	be	AUX
bracis-19057	97	5	classified	classify	VERB
bracis-19057	97	6	to	to	ADP
bracis-19057	97	7	the	the	DET
bracis-19057	97	8	class	class	NOUN
bracis-19057	97	9	of	of	ADP
bracis-19057	97	10	the	the	DET
bracis-19057	97	11	component	component	NOUN
bracis-19057	97	12	which	which	PRON
bracis-19057	97	13	its	its	PRON
bracis-19057	97	14	insertion	insertion	NOUN
bracis-19057	97	15	caused	cause	VERB
bracis-19057	97	16	the	the	DET
bracis-19057	97	17	smallest	small	ADJ
bracis-19057	97	18	variation	variation	NOUN
bracis-19057	97	19	in	in	ADP
bracis-19057	97	20	the	the	DET
bracis-19057	97	21	network	network	NOUN
bracis-19057	97	22	measures	measure	NOUN
bracis-19057	97	23	.	.	PUNCT
bracis-19057	98	1	in	in	ADP
bracis-19057	98	2	other	other	ADJ
bracis-19057	98	3	words	word	NOUN
bracis-19057	98	4	,	,	PUNCT
bracis-19057	98	5	a	a	DET
bracis-19057	98	6	testing	testing	NOUN
bracis-19057	98	7	instance	instance	NOUN
bracis-19057	98	8	is	be	AUX
bracis-19057	98	9	classified	classify	VERB
bracis-19057	98	10	to	to	ADP
bracis-19057	98	11	a	a	DET
bracis-19057	98	12	certain	certain	ADJ
bracis-19057	98	13	class	class	NOUN
bracis-19057	98	14	because	because	SCONJ
bracis-19057	98	15	it	it	PRON
bracis-19057	98	16	conforms	conform	VERB
bracis-19057	98	17	the	the	DET
bracis-19057	98	18	pattern	pattern	NOUN
bracis-19057	98	19	formed	form	VERB
bracis-19057	98	20	by	by	ADP
bracis-19057	98	21	the	the	DET
bracis-19057	98	22	training	training	NOUN
bracis-19057	98	23	data	datum	NOUN
bracis-19057	98	24	of	of	ADP
bracis-19057	98	25	that	that	DET
bracis-19057	98	26	class	class	NOUN
bracis-19057	98	27	.	.	PUNCT
bracis-19057	99	1	in	in	ADP
bracis-19057	99	2	this	this	DET
bracis-19057	99	3	way	way	NOUN
bracis-19057	99	4	,	,	PUNCT
bracis-19057	99	5	the	the	DET
bracis-19057	99	6	data	data	NOUN
bracis-19057	99	7	instances	instance	NOUN
bracis-19057	99	8	from	from	ADP
bracis-19057	99	9	\(x_{test}\	\(x_{test}\	PROPN
bracis-19057	99	10	)	)	PUNCT
bracis-19057	99	11	are	be	AUX
bracis-19057	99	12	inserted	insert	VERB
bracis-19057	99	13	in	in	ADP
bracis-19057	99	14	the	the	DET
bracis-19057	99	15	network	network	NOUN
bracis-19057	99	16	,	,	PUNCT
bracis-19057	99	17	to	to	PART
bracis-19057	99	18	be	be	AUX
bracis-19057	99	19	classified	classify	VERB
bracis-19057	99	20	,	,	PUNCT
bracis-19057	99	21	one	one	NUM
bracis-19057	99	22	by	by	ADP
bracis-19057	99	23	one	one	NUM
bracis-19057	99	24	.	.	PUNCT
bracis-19057	100	1	the	the	DET
bracis-19057	100	2	new	new	ADJ
bracis-19057	100	3	node	node	PROPN
bracis-19057	100	4	’s	’s	PART
bracis-19057	100	5	insertion	insertion	NOUN
bracis-19057	100	6	is	be	AUX
bracis-19057	100	7	made	make	VERB
bracis-19057	100	8	by	by	ADP
bracis-19057	100	9	using	use	VERB
bracis-19057	100	10	the	the	DET
bracis-19057	100	11	same	same	ADJ
bracis-19057	100	12	rules	rule	NOUN
bracis-19057	100	13	described	describe	VERB
bracis-19057	100	14	in	in	ADP
bracis-19057	100	15	eq	eq	PROPN
bracis-19057	100	16	.	.	PUNCT
bracis-19057	100	17	 	 	SPACE
bracis-19057	100	18	3	3	NUM
bracis-19057	100	19	for	for	ADP
bracis-19057	100	20	generating	generate	VERB
bracis-19057	100	21	the	the	DET
bracis-19057	100	22	edges	edge	NOUN
bracis-19057	100	23	between	between	ADP
bracis-19057	100	24	the	the	DET
bracis-19057	100	25	new	new	ADJ
bracis-19057	100	26	node	node	NOUN
bracis-19057	100	27	and	and	CCONJ
bracis-19057	100	28	the	the	DET
bracis-19057	100	29	other	other	ADJ
bracis-19057	100	30	nodes	node	NOUN
bracis-19057	100	31	in	in	ADP
bracis-19057	100	32	the	the	DET
bracis-19057	100	33	network	network	NOUN
bracis-19057	100	34	.	.	PUNCT
bracis-19057	101	1	the	the	DET
bracis-19057	101	2	only	only	ADJ
bracis-19057	101	3	difference	difference	NOUN
bracis-19057	101	4	now	now	ADV
bracis-19057	101	5	is	be	AUX
bracis-19057	101	6	that	that	SCONJ
bracis-19057	101	7	,	,	PUNCT
bracis-19057	101	8	since	since	SCONJ
bracis-19057	101	9	we	we	PRON
bracis-19057	101	10	do	do	AUX
bracis-19057	101	11	not	not	PART
bracis-19057	101	12	know	know	VERB
bracis-19057	101	13	the	the	DET
bracis-19057	101	14	class	class	NOUN
bracis-19057	101	15	of	of	ADP
bracis-19057	101	16	the	the	DET
bracis-19057	101	17	new	new	ADJ
bracis-19057	101	18	data	datum	NOUN
bracis-19057	101	19	instance	instance	NOUN
bracis-19057	101	20	\(x_i\	\(x_i\	PROPN
bracis-19057	101	21	)	)	PUNCT
bracis-19057	101	22	,	,	PUNCT
bracis-19057	101	23	the	the	DET
bracis-19057	101	24	“	"	PUNCT
bracis-19057	101	25	same	same	ADJ
bracis-19057	101	26	label	label	NOUN
bracis-19057	101	27	”	"	PUNCT
bracis-19057	101	28	restriction	restriction	NOUN
bracis-19057	101	29	is	be	AUX
bracis-19057	101	30	removed	remove	VERB
bracis-19057	101	31	from	from	ADP
bracis-19057	101	32	the	the	DET
bracis-19057	101	33	procedure	procedure	NOUN
bracis-19057	101	34	,	,	PUNCT
bracis-19057	101	35	so	so	SCONJ
bracis-19057	101	36	that	that	SCONJ
bracis-19057	101	37	the	the	DET
bracis-19057	101	38	nodes	node	NOUN
bracis-19057	101	39	to	to	PART
bracis-19057	101	40	be	be	AUX
bracis-19057	101	41	connected	connect	VERB
bracis-19057	101	42	to	to	PART
bracis-19057	101	43	\(x_i\	\(x_i\	VERB
bracis-19057	101	44	)	)	PUNCT
bracis-19057	101	45	are	be	AUX
bracis-19057	101	46	yielded	yield	VERB
bracis-19057	101	47	by	by	ADP
bracis-19057	101	48	:	:	PUNCT
bracis-19057	101	49	$	$	SYM
bracis-19057	101	50	$	$	SYM
bracis-19057	101	51	\begin{aligned	\begin{aligne	VERB
bracis-19057	101	52	}	}	PUNCT
bracis-19057	101	53	n(x_i	n(x_i	PROPN
bracis-19057	101	54	)	)	PUNCT
bracis-19057	101	55	=	=	SYM
bracis-19057	101	56	{	{	PUNCT
bracis-19057	101	57	\left\	\left\	PROPN
bracis-19057	101	58	{	{	PUNCT
bracis-19057	101	59	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-19057	101	60	}	}	PUNCT
bracis-19057	101	61	\epsilon	\epsilon	NOUN
bracis-19057	101	62	\text	\text	ADV
bracis-19057	101	63	{	{	PUNCT
bracis-19057	101	64	-radius}(x_i	-radius}(x_i	PROPN
bracis-19057	101	65	)	)	PUNCT
bracis-19057	101	66	,	,	PUNCT
bracis-19057	101	67	\text	\text	ADP
bracis-19057	101	68	{	{	PUNCT
bracis-19057	101	69	if	if	SCONJ
bracis-19057	101	70	}	}	PUNCT
bracis-19057	101	71	\epsilon	\epsilon	NOUN
bracis-19057	101	72	\text	\text	ADV
bracis-19057	101	73	{	{	PUNCT
bracis-19057	101	74	-radius}(x_i	-radius}(x_i	PROPN
bracis-19057	101	75	)	)	PUNCT
bracis-19057	101	76	>	>	X
bracis-19057	102	1	k	k	PROPN
bracis-19057	102	2	\\	\\	NOUN
bracis-19057	102	3	k\text	k\text	VERB
bracis-19057	102	4	{	{	PUNCT
bracis-19057	102	5	nn}(x_i	nn}(x_i	PROPN
bracis-19057	102	6	)	)	PUNCT
bracis-19057	102	7	,	,	PUNCT
bracis-19057	102	8	\text	\text	ADP
bracis-19057	102	9	{	{	PUNCT
bracis-19057	102	10	otherwise	otherwise	ADV
bracis-19057	102	11	}	}	PUNCT
bracis-19057	102	12	\quad	\quad	PROPN
bracis-19057	102	13	,	,	PUNCT
bracis-19057	102	14	\end{array}\right	\end{array}\right	PROPN
bracis-19057	102	15	.	.	PUNCT
bracis-19057	102	16	}	}	PUNCT
bracis-19057	102	17	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	102	18	(	(	PUNCT
bracis-19057	102	19	4	4	NUM
bracis-19057	102	20	)	)	PUNCT
bracis-19057	102	21	where	where	SCONJ
bracis-19057	102	22	\(\epsilon	\(\epsilon	NOUN
bracis-19057	102	23	\text	\text	PROPN
bracis-19057	102	24	{	{	PUNCT
bracis-19057	102	25	-radius}(x_i)\	-radius}(x_i)\	INTJ
bracis-19057	102	26	)	)	PUNCT
bracis-19057	102	27	returns	return	VERB
bracis-19057	102	28	the	the	DET
bracis-19057	102	29	set	set	NOUN
bracis-19057	102	30	\(\{x_j	\(\{x_j	PROPN
bracis-19057	102	31	,	,	PUNCT
bracis-19057	102	32	\forall	\forall	DET
bracis-19057	102	33	j	j	PROPN
bracis-19057	102	34	\in	\in	PROPN
bracis-19057	102	35	\mathcal	\mathcal	PROPN
bracis-19057	102	36	{	{	PUNCT
bracis-19057	102	37	v	v	NOUN
bracis-19057	102	38	}	}	PUNCT
bracis-19057	102	39	\mid	\mid	ADP
bracis-19057	102	40	dist(x_i	dist(x_i	PROPN
bracis-19057	102	41	,	,	PUNCT
bracis-19057	102	42	x_j	x_j	SYM
bracis-19057	102	43	)	)	PUNCT
bracis-19057	102	44	\le	\le	NOUN
bracis-19057	102	45	\epsilon	\epsilon	NOUN
bracis-19057	102	46	\}\	\}\	NOUN
bracis-19057	102	47	)	)	PUNCT
bracis-19057	102	48	,	,	PUNCT
bracis-19057	102	49	and	and	CCONJ
bracis-19057	102	50	knn\((x_i)\	knn\((x_i)\	NOUN
bracis-19057	102	51	)	)	PUNCT
bracis-19057	102	52	returns	return	VERB
bracis-19057	102	53	the	the	DET
bracis-19057	102	54	set	set	NOUN
bracis-19057	102	55	containing	contain	VERB
bracis-19057	102	56	the	the	DET
bracis-19057	102	57	k	k	PROPN
bracis-19057	102	58	nearest	near	ADJ
bracis-19057	102	59	vertices	vertex	NOUN
bracis-19057	102	60	of	of	ADP
bracis-19057	102	61	\(x_i\	\(x_i\	NOUN
bracis-19057	102	62	)	)	PUNCT
bracis-19057	102	63	.	.	PUNCT
bracis-19057	103	1	the	the	DET
bracis-19057	103	2	model	model	NOUN
bracis-19057	103	3	will	will	AUX
bracis-19057	103	4	assign	assign	VERB
bracis-19057	103	5	the	the	DET
bracis-19057	103	6	label	label	NOUN
bracis-19057	103	7	for	for	ADP
bracis-19057	103	8	the	the	DET
bracis-19057	103	9	new	new	ADJ
bracis-19057	103	10	node	node	NOUN
bracis-19057	103	11	according	accord	VERB
bracis-19057	103	12	to	to	ADP
bracis-19057	103	13	the	the	DET
bracis-19057	103	14	number	number	NOUN
bracis-19057	103	15	of	of	ADP
bracis-19057	103	16	components	component	NOUN
bracis-19057	103	17	affected	affect	VERB
bracis-19057	103	18	by	by	ADP
bracis-19057	103	19	the	the	DET
bracis-19057	103	20	node	node	NOUN
bracis-19057	103	21	’s	’s	PART
bracis-19057	103	22	insertion	insertion	NOUN
bracis-19057	103	23	in	in	ADP
bracis-19057	103	24	the	the	DET
bracis-19057	103	25	network	network	NOUN
bracis-19057	103	26	.	.	PUNCT
bracis-19057	104	1	in	in	ADP
bracis-19057	104	2	case	case	NOUN
bracis-19057	104	3	only	only	ADV
bracis-19057	104	4	one	one	NUM
bracis-19057	104	5	component	component	NOUN
bracis-19057	104	6	is	be	AUX
bracis-19057	104	7	affected	affect	VERB
bracis-19057	104	8	by	by	ADP
bracis-19057	104	9	its	its	PRON
bracis-19057	104	10	insertion	insertion	NOUN
bracis-19057	104	11	,	,	PUNCT
bracis-19057	104	12	i.e.	i.e.	X
bracis-19057	104	13	,	,	PUNCT
bracis-19057	104	14	when	when	SCONJ
bracis-19057	104	15	all	all	DET
bracis-19057	104	16	the	the	DET
bracis-19057	104	17	target	target	NOUN
bracis-19057	104	18	nodes	node	NOUN
bracis-19057	104	19	of	of	ADP
bracis-19057	104	20	its	its	PRON
bracis-19057	104	21	edges	edge	NOUN
bracis-19057	104	22	belong	belong	VERB
bracis-19057	104	23	to	to	ADP
bracis-19057	104	24	the	the	DET
bracis-19057	104	25	same	same	ADJ
bracis-19057	104	26	component	component	NOUN
bracis-19057	104	27	,	,	PUNCT
bracis-19057	104	28	then	then	ADV
bracis-19057	104	29	the	the	DET
bracis-19057	104	30	model	model	NOUN
bracis-19057	104	31	will	will	AUX
bracis-19057	104	32	assign	assign	VERB
bracis-19057	104	33	the	the	DET
bracis-19057	104	34	class	class	NOUN
bracis-19057	104	35	of	of	ADP
bracis-19057	104	36	this	this	DET
bracis-19057	104	37	component	component	NOUN
bracis-19057	104	38	for	for	ADP
bracis-19057	104	39	the	the	DET
bracis-19057	104	40	new	new	ADJ
bracis-19057	104	41	node	node	NOUN
bracis-19057	104	42	.	.	PUNCT
bracis-19057	105	1	on	on	ADP
bracis-19057	105	2	the	the	DET
bracis-19057	105	3	other	other	ADJ
bracis-19057	105	4	hand	hand	NOUN
bracis-19057	105	5	,	,	PUNCT
bracis-19057	105	6	when	when	SCONJ
bracis-19057	105	7	more	more	ADJ
bracis-19057	105	8	than	than	ADP
bracis-19057	105	9	one	one	NUM
bracis-19057	105	10	component	component	NOUN
bracis-19057	105	11	is	be	AUX
bracis-19057	105	12	affected	affect	VERB
bracis-19057	105	13	by	by	ADP
bracis-19057	105	14	the	the	DET
bracis-19057	105	15	insertion	insertion	NOUN
bracis-19057	105	16	,	,	PUNCT
bracis-19057	105	17	then	then	ADV
bracis-19057	105	18	the	the	DET
bracis-19057	105	19	model	model	NOUN
bracis-19057	105	20	will	will	AUX
bracis-19057	105	21	extract	extract	VERB
bracis-19057	105	22	new	new	ADJ
bracis-19057	105	23	measures	measure	NOUN
bracis-19057	105	24	of	of	ADP
bracis-19057	105	25	the	the	DET
bracis-19057	105	26	affected	affected	ADJ
bracis-19057	105	27	components	component	NOUN
bracis-19057	105	28	and	and	CCONJ
bracis-19057	105	29	assign	assign	VERB
bracis-19057	105	30	a	a	DET
bracis-19057	105	31	class	class	NOUN
bracis-19057	105	32	label	label	NOUN
bracis-19057	105	33	to	to	ADP
bracis-19057	105	34	the	the	DET
bracis-19057	105	35	testing	testing	NOUN
bracis-19057	105	36	data	datum	NOUN
bracis-19057	105	37	instance	instance	NOUN
bracis-19057	105	38	as	as	ADP
bracis-19057	105	39	the	the	DET
bracis-19057	105	40	label	label	NOUN
bracis-19057	105	41	of	of	ADP
bracis-19057	105	42	the	the	DET
bracis-19057	105	43	component	component	NOUN
bracis-19057	105	44	less	less	ADV
bracis-19057	105	45	impacted	impact	VERB
bracis-19057	105	46	by	by	ADP
bracis-19057	105	47	the	the	DET
bracis-19057	105	48	insertion	insertion	NOUN
bracis-19057	105	49	,	,	PUNCT
bracis-19057	105	50	in	in	ADP
bracis-19057	105	51	terms	term	NOUN
bracis-19057	105	52	of	of	ADP
bracis-19057	105	53	the	the	DET
bracis-19057	105	54	network	network	NOUN
bracis-19057	105	55	topology	topology	NOUN
bracis-19057	105	56	.	.	PUNCT
bracis-19057	106	1	in	in	ADP
bracis-19057	106	2	this	this	DET
bracis-19057	106	3	work	work	NOUN
bracis-19057	106	4	,	,	PUNCT
bracis-19057	106	5	we	we	PRON
bracis-19057	106	6	use	use	VERB
bracis-19057	106	7	betweenness	betweenness	ADJ
bracis-19057	106	8	centrality	centrality	NOUN
bracis-19057	106	9	for	for	ADP
bracis-19057	106	10	measuring	measure	VERB
bracis-19057	106	11	these	these	DET
bracis-19057	106	12	impacts	impact	NOUN
bracis-19057	106	13	.	.	PUNCT
bracis-19057	107	1	the	the	DET
bracis-19057	107	2	overall	overall	ADJ
bracis-19057	107	3	impact	impact	NOUN
bracis-19057	107	4	\(i^{(l)}\	\(i^{(l)}\	NOUN
bracis-19057	107	5	)	)	PUNCT
bracis-19057	107	6	on	on	ADP
bracis-19057	107	7	each	each	DET
bracis-19057	107	8	affected	affect	VERB
bracis-19057	107	9	component	component	NOUN
bracis-19057	107	10	of	of	ADP
bracis-19057	107	11	class	class	NOUN
bracis-19057	107	12	l	l	NOUN
bracis-19057	107	13	,	,	PUNCT
bracis-19057	107	14	caused	cause	VERB
bracis-19057	107	15	by	by	ADP
bracis-19057	107	16	the	the	DET
bracis-19057	107	17	insertion	insertion	NOUN
bracis-19057	107	18	of	of	ADP
bracis-19057	107	19	the	the	DET
bracis-19057	107	20	testing	testing	NOUN
bracis-19057	107	21	instance	instance	NOUN
bracis-19057	107	22	,	,	PUNCT
bracis-19057	107	23	is	be	AUX
bracis-19057	107	24	calculated	calculate	VERB
bracis-19057	107	25	and	and	CCONJ
bracis-19057	107	26	balanced	balanced	ADJ
bracis-19057	107	27	according	accord	VERB
bracis-19057	107	28	to	to	ADP
bracis-19057	107	29	:	:	PUNCT
bracis-19057	107	30	$	$	SYM
bracis-19057	107	31	$	$	SYM
bracis-19057	107	32	\begin{aligned	\begin{aligne	VERB
bracis-19057	107	33	}	}	PUNCT
bracis-19057	107	34	i^{(l	i^{(l	NOUN
bracis-19057	107	35	)	)	PUNCT
bracis-19057	107	36	}	}	PUNCT
bracis-19057	108	1	=	=	PUNCT
bracis-19057	108	2	\alpha	\alpha	ADP
bracis-19057	108	3	^{(l	^{(l	PROPN
bracis-19057	108	4	)	)	PUNCT
bracis-19057	108	5	}	}	PUNCT
bracis-19057	108	6	\frac{m_1^{(l	\frac{m_1^{(l	NOUN
bracis-19057	108	7	)	)	PUNCT
bracis-19057	108	8	}	}	PUNCT
bracis-19057	108	9	m_0^{(l)}}{m_0^{(l	m_0^{(l)}}{m_0^{(l	PROPN
bracis-19057	108	10	)	)	PUNCT
bracis-19057	108	11	}	}	PUNCT
bracis-19057	108	12	}	}	PUNCT
bracis-19057	108	13	\quad	\quad	PROPN
bracis-19057	108	14	,	,	PUNCT
bracis-19057	108	15	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	108	16	(	(	PUNCT
bracis-19057	108	17	5	5	NUM
bracis-19057	108	18	)	)	PUNCT
bracis-19057	108	19	where	where	SCONJ
bracis-19057	108	20	\(m_0^{(l)}\	\(m_0^{(l)}\	NOUN
bracis-19057	108	21	)	)	PUNCT
bracis-19057	108	22	and	and	CCONJ
bracis-19057	108	23	\(m_1^{(l)}\	\(m_1^{(l)}\	PROPN
bracis-19057	108	24	)	)	PUNCT
bracis-19057	108	25	are	be	AUX
bracis-19057	108	26	the	the	DET
bracis-19057	108	27	extracted	extract	VERB
bracis-19057	108	28	network	network	NOUN
bracis-19057	108	29	measures	measure	NOUN
bracis-19057	108	30	for	for	ADP
bracis-19057	108	31	the	the	DET
bracis-19057	108	32	component	component	NOUN
bracis-19057	108	33	representing	represent	VERB
bracis-19057	108	34	class	class	NOUN
bracis-19057	108	35	l	l	NOUN
bracis-19057	108	36	,	,	PUNCT
bracis-19057	108	37	before	before	ADP
bracis-19057	108	38	and	and	CCONJ
bracis-19057	108	39	after	after	ADP
bracis-19057	108	40	the	the	DET
bracis-19057	108	41	insertion	insertion	NOUN
bracis-19057	108	42	of	of	ADP
bracis-19057	108	43	the	the	DET
bracis-19057	108	44	testing	testing	NOUN
bracis-19057	108	45	instance	instance	NOUN
bracis-19057	108	46	,	,	PUNCT
bracis-19057	108	47	respectively	respectively	ADV
bracis-19057	108	48	.	.	PUNCT
bracis-19057	109	1	the	the	DET
bracis-19057	109	2	probability	probability	NOUN
bracis-19057	109	3	\(p(x_i^{\hat{y_i}=l})\	\(p(x_i^{\hat{y_i}=l})\	PROPN
bracis-19057	109	4	)	)	PUNCT
bracis-19057	109	5	of	of	ADP
bracis-19057	109	6	the	the	DET
bracis-19057	109	7	testing	testing	NOUN
bracis-19057	109	8	instance	instance	NOUN
bracis-19057	109	9	\(x_i\	\(x_i\	PROPN
bracis-19057	109	10	)	)	PUNCT
bracis-19057	109	11	to	to	PART
bracis-19057	109	12	belong	belong	VERB
bracis-19057	109	13	to	to	ADP
bracis-19057	109	14	class	class	NOUN
bracis-19057	109	15	l	l	NOUN
bracis-19057	109	16	is	be	AUX
bracis-19057	109	17	given	give	VERB
bracis-19057	109	18	by	by	ADP
bracis-19057	109	19	the	the	DET
bracis-19057	109	20	reciprocal	reciprocal	NOUN
bracis-19057	109	21	of	of	ADP
bracis-19057	109	22	the	the	DET
bracis-19057	109	23	value	value	NOUN
bracis-19057	109	24	in	in	ADP
bracis-19057	109	25	vector	vector	NOUN
bracis-19057	109	26	i	i	PROPN
bracis-19057	109	27	,	,	PUNCT
bracis-19057	109	28	in	in	ADP
bracis-19057	109	29	the	the	DET
bracis-19057	109	30	normalized	normalize	VERB
bracis-19057	109	31	form	form	NOUN
bracis-19057	109	32	,	,	PUNCT
bracis-19057	109	33	as	as	ADP
bracis-19057	109	34	in	in	ADP
bracis-19057	109	35	:	:	PUNCT
bracis-19057	109	36	$	$	SYM
bracis-19057	109	37	$	$	SYM
bracis-19057	109	38	\begin{aligned	\begin{aligne	VERB
bracis-19057	109	39	}	}	PUNCT
bracis-19057	109	40	p(x_i^{\hat{y_i}=l	p(x_i^{\hat{y_i}=l	PROPN
bracis-19057	109	41	}	}	PUNCT
bracis-19057	109	42	)	)	PUNCT
bracis-19057	109	43	=	=	SYM
bracis-19057	109	44	{	{	PUNCT
bracis-19057	109	45	\left\	\left\	PROPN
bracis-19057	109	46	{	{	PUNCT
bracis-19057	109	47	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-19057	109	48	}	}	PUNCT
bracis-19057	109	49	\frac{1	\frac{1	PROPN
bracis-19057	109	50	/	/	SYM
bracis-19057	109	51	i^{(l)}}{\sum	i^{(l)}}{\sum	NOUN
bracis-19057	110	1	_	_	NOUN
bracis-19057	110	2	l	l	NOUN
bracis-19057	110	3	1	1	NUM
bracis-19057	110	4	/	/	SYM
bracis-19057	110	5	i^{(l	i^{(l	NOUN
bracis-19057	110	6	)	)	PUNCT
bracis-19057	110	7	}	}	PUNCT
bracis-19057	110	8	}	}	PUNCT
bracis-19057	111	1	\text	\text	ADV
bracis-19057	111	2	{	{	PUNCT
bracis-19057	111	3	,	,	PUNCT
bracis-19057	111	4	if	if	SCONJ
bracis-19057	111	5	}	}	PUNCT
bracis-19057	111	6	c^{(l	c^{(l	X
bracis-19057	111	7	)	)	PUNCT
bracis-19057	111	8	}	}	PUNCT
bracis-19057	111	9	\text	\text	ADV
bracis-19057	111	10	{	{	PUNCT
bracis-19057	111	11	is	be	AUX
bracis-19057	111	12	affected	affect	VERB
bracis-19057	111	13	}	}	PUNCT
bracis-19057	111	14	\\	\\	NOUN
bracis-19057	111	15	0	0	NUM
bracis-19057	111	16	,	,	PUNCT
bracis-19057	111	17	\text	\text	ADP
bracis-19057	111	18	{	{	PUNCT
bracis-19057	111	19	otherwise	otherwise	ADV
bracis-19057	111	20	}	}	PUNCT
bracis-19057	111	21	,	,	PUNCT
bracis-19057	111	22	\end{array}\right	\end{array}\right	PROPN
bracis-19057	111	23	.	.	PUNCT
bracis-19057	111	24	}	}	PUNCT
bracis-19057	111	25	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	111	26	(	(	PUNCT
bracis-19057	111	27	6	6	NUM
bracis-19057	111	28	)	)	PUNCT
bracis-19057	111	29	where	where	SCONJ
bracis-19057	111	30	\(c^{(l)}\	\(c^{(l)}\	PROPN
bracis-19057	111	31	)	)	PUNCT
bracis-19057	111	32	is	be	AUX
bracis-19057	111	33	the	the	DET
bracis-19057	111	34	network	network	NOUN
bracis-19057	111	35	component	component	NOUN
bracis-19057	111	36	representing	represent	VERB
bracis-19057	111	37	class	class	NOUN
bracis-19057	111	38	l.	l.	PROPN
bracis-19057	111	39	finally	finally	ADV
bracis-19057	111	40	,	,	PUNCT
bracis-19057	111	41	the	the	DET
bracis-19057	111	42	label	label	NOUN
bracis-19057	111	43	\(\hat{y_i}\	\(\hat{y_i}\	NOUN
bracis-19057	111	44	)	)	PUNCT
bracis-19057	111	45	to	to	PART
bracis-19057	111	46	be	be	AUX
bracis-19057	111	47	assigned	assign	VERB
bracis-19057	111	48	for	for	ADP
bracis-19057	111	49	the	the	DET
bracis-19057	111	50	testing	testing	NOUN
bracis-19057	111	51	instance	instance	NOUN
bracis-19057	111	52	\(x_i\	\(x_i\	PROPN
bracis-19057	111	53	)	)	PUNCT
bracis-19057	111	54	is	be	AUX
bracis-19057	111	55	yielded	yield	VERB
bracis-19057	111	56	by	by	ADP
bracis-19057	111	57	:	:	PUNCT
bracis-19057	111	58	$	$	SYM
bracis-19057	111	59	$	$	SYM
bracis-19057	111	60	\begin{aligned	\begin{aligne	VERB
bracis-19057	111	61	}	}	PUNCT
bracis-19057	111	62	\hat{y_i	\hat{y_i	NOUN
bracis-19057	111	63	}	}	PUNCT
bracis-19057	111	64	=	=	SYM
bracis-19057	111	65	\underset{l}{\mathrm	\underset{l}{\mathrm	NOUN
bracis-19057	111	66	{	{	PUNCT
bracis-19057	111	67	argmax}}\	argmax}}\	PROPN
bracis-19057	111	68	,	,	PUNCT
bracis-19057	111	69	p(x_i^{\hat{y_i}=l	p(x_i^{\hat{y_i}=l	PROPN
bracis-19057	111	70	}	}	PUNCT
bracis-19057	111	71	)	)	PUNCT
bracis-19057	111	72	\quad	\quad	PROPN
bracis-19057	111	73	.	.	PUNCT
bracis-19057	112	1	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	112	2	(	(	PUNCT
bracis-19057	112	3	7	7	NUM
bracis-19057	112	4	)	)	PUNCT
bracis-19057	112	5	the	the	DET
bracis-19057	112	6	complete	complete	ADJ
bracis-19057	112	7	process	process	NOUN
bracis-19057	112	8	of	of	ADP
bracis-19057	112	9	the	the	DET
bracis-19057	112	10	testing	testing	NOUN
bracis-19057	112	11	phase	phase	NOUN
bracis-19057	112	12	is	be	AUX
bracis-19057	112	13	described	describe	VERB
bracis-19057	112	14	in	in	ADP
bracis-19057	112	15	algorithm	algorithm	NOUN
bracis-19057	112	16	2	2	NUM
bracis-19057	112	17	.	.	PUNCT
bracis-19057	113	1	in	in	ADP
bracis-19057	113	2	lines	line	NOUN
bracis-19057	113	3	2–3	2–3	NUM
bracis-19057	113	4	,	,	PUNCT
bracis-19057	113	5	an	an	DET
bracis-19057	113	6	initial	initial	ADJ
bracis-19057	113	7	empty	empty	ADJ
bracis-19057	113	8	list	list	NOUN
bracis-19057	113	9	is	be	AUX
bracis-19057	113	10	created	create	VERB
bracis-19057	113	11	to	to	PART
bracis-19057	113	12	store	store	VERB
bracis-19057	113	13	the	the	DET
bracis-19057	113	14	predicted	predict	VERB
bracis-19057	113	15	labels	label	NOUN
bracis-19057	113	16	for	for	ADP
bracis-19057	113	17	each	each	DET
bracis-19057	113	18	data	datum	NOUN
bracis-19057	113	19	instance	instance	NOUN
bracis-19057	113	20	in	in	ADP
bracis-19057	113	21	\(x_{test}\	\(x_{test}\	PROPN
bracis-19057	113	22	)	)	PUNCT
bracis-19057	113	23	,	,	PUNCT
bracis-19057	113	24	and	and	CCONJ
bracis-19057	113	25	the	the	DET
bracis-19057	113	26	current	current	ADJ
bracis-19057	113	27	measures	measure	NOUN
bracis-19057	113	28	of	of	ADP
bracis-19057	113	29	each	each	DET
bracis-19057	113	30	network	network	NOUN
bracis-19057	113	31	component	component	NOUN
bracis-19057	113	32	are	be	AUX
bracis-19057	113	33	extracted	extract	VERB
bracis-19057	113	34	.	.	PUNCT
bracis-19057	114	1	in	in	ADP
bracis-19057	114	2	lines	line	NOUN
bracis-19057	114	3	4–13	4–13	PROPN
bracis-19057	114	4	,	,	PUNCT
bracis-19057	114	5	the	the	DET
bracis-19057	114	6	model	model	NOUN
bracis-19057	114	7	generates	generate	VERB
bracis-19057	114	8	a	a	DET
bracis-19057	114	9	label	label	NOUN
bracis-19057	114	10	for	for	ADP
bracis-19057	114	11	each	each	DET
bracis-19057	114	12	testing	testing	NOUN
bracis-19057	114	13	instance	instance	NOUN
bracis-19057	114	14	,	,	PUNCT
bracis-19057	114	15	one	one	NUM
bracis-19057	114	16	by	by	ADP
bracis-19057	114	17	one	one	NUM
bracis-19057	114	18	.	.	PUNCT
bracis-19057	115	1	in	in	ADP
bracis-19057	115	2	case	case	NOUN
bracis-19057	115	3	only	only	ADV
bracis-19057	115	4	one	one	NUM
bracis-19057	115	5	component	component	NOUN
bracis-19057	115	6	is	be	AUX
bracis-19057	115	7	affected	affect	VERB
bracis-19057	115	8	by	by	ADP
bracis-19057	115	9	the	the	DET
bracis-19057	115	10	insertion	insertion	NOUN
bracis-19057	115	11	of	of	ADP
bracis-19057	115	12	the	the	DET
bracis-19057	115	13	testing	testing	NOUN
bracis-19057	115	14	data	datum	NOUN
bracis-19057	115	15	,	,	PUNCT
bracis-19057	115	16	then	then	ADV
bracis-19057	115	17	its	its	PRON
bracis-19057	115	18	label	label	NOUN
bracis-19057	115	19	will	will	AUX
bracis-19057	115	20	be	be	AUX
bracis-19057	115	21	this	this	DET
bracis-19057	115	22	component	component	NOUN
bracis-19057	115	23	’s	’s	PART
bracis-19057	115	24	class	class	NOUN
bracis-19057	115	25	.	.	PUNCT
bracis-19057	116	1	in	in	ADP
bracis-19057	116	2	case	case	NOUN
bracis-19057	116	3	more	more	ADJ
bracis-19057	116	4	than	than	ADP
bracis-19057	116	5	one	one	NUM
bracis-19057	116	6	component	component	NOUN
bracis-19057	116	7	is	be	AUX
bracis-19057	116	8	affected	affect	VERB
bracis-19057	116	9	by	by	ADP
bracis-19057	116	10	the	the	DET
bracis-19057	116	11	insertion	insertion	NOUN
bracis-19057	116	12	,	,	PUNCT
bracis-19057	116	13	then	then	ADV
bracis-19057	116	14	the	the	DET
bracis-19057	116	15	testing	testing	NOUN
bracis-19057	116	16	data	datum	NOUN
bracis-19057	116	17	is	be	AUX
bracis-19057	116	18	classified	classify	VERB
bracis-19057	116	19	to	to	ADP
bracis-19057	116	20	that	that	DET
bracis-19057	116	21	class	class	NOUN
bracis-19057	116	22	whose	whose	DET
bracis-19057	116	23	component	component	NOUN
bracis-19057	116	24	is	be	AUX
bracis-19057	116	25	least	least	ADV
bracis-19057	116	26	impacted	impact	VERB
bracis-19057	116	27	by	by	ADP
bracis-19057	116	28	the	the	DET
bracis-19057	116	29	insertion	insertion	NOUN
bracis-19057	116	30	,	,	PUNCT
bracis-19057	116	31	in	in	ADP
bracis-19057	116	32	terms	term	NOUN
bracis-19057	116	33	of	of	ADP
bracis-19057	116	34	topological	topological	ADJ
bracis-19057	116	35	structure	structure	NOUN
bracis-19057	116	36	.	.	PUNCT
bracis-19057	117	1	in	in	ADP
bracis-19057	117	2	line	line	NOUN
bracis-19057	117	3	14	14	NUM
bracis-19057	117	4	,	,	PUNCT
bracis-19057	117	5	the	the	DET
bracis-19057	117	6	classification	classification	NOUN
bracis-19057	117	7	list	list	NOUN
bracis-19057	117	8	is	be	AUX
bracis-19057	117	9	updated	update	VERB
bracis-19057	117	10	with	with	ADP
bracis-19057	117	11	each	each	DET
bracis-19057	117	12	predicted	predict	VERB
bracis-19057	117	13	label	label	NOUN
bracis-19057	117	14	.	.	PUNCT
bracis-19057	118	1	3	3	NUM
bracis-19057	118	2	materials	material	NOUN
bracis-19057	118	3	and	and	CCONJ
bracis-19057	118	4	 	 	SPACE
bracis-19057	118	5	methods	method	NOUN
bracis-19057	118	6	we	we	PRON
bracis-19057	118	7	first	first	ADV
bracis-19057	118	8	evaluate	evaluate	VERB
bracis-19057	118	9	the	the	DET
bracis-19057	118	10	performance	performance	NOUN
bracis-19057	118	11	of	of	ADP
bracis-19057	118	12	the	the	DET
bracis-19057	118	13	proposed	propose	VERB
bracis-19057	118	14	mnbhl	mnbhl	NOUN
bracis-19057	118	15	model	model	NOUN
bracis-19057	118	16	by	by	ADP
bracis-19057	118	17	applying	apply	VERB
bracis-19057	118	18	it	it	PRON
bracis-19057	118	19	to	to	ADP
bracis-19057	118	20	well	well	ADV
bracis-19057	118	21	-	-	PUNCT
bracis-19057	118	22	known	know	VERB
bracis-19057	118	23	benchmark	benchmark	NOUN
bracis-19057	118	24	classification	classification	NOUN
bracis-19057	118	25	datasets	dataset	NOUN
bracis-19057	118	26	,	,	PUNCT
bracis-19057	118	27	both	both	CCONJ
bracis-19057	118	28	artificial	artificial	ADJ
bracis-19057	118	29	and	and	CCONJ
bracis-19057	118	30	real	real	ADJ
bracis-19057	118	31	ones	one	NOUN
bracis-19057	118	32	.	.	PUNCT
bracis-19057	119	1	afterwards	afterwards	ADV
bracis-19057	119	2	,	,	PUNCT
bracis-19057	119	3	we	we	PRON
bracis-19057	119	4	apply	apply	VERB
bracis-19057	119	5	the	the	DET
bracis-19057	119	6	mnbhl	mnbhl	NOUN
bracis-19057	119	7	model	model	NOUN
bracis-19057	119	8	to	to	ADP
bracis-19057	119	9	a	a	DET
bracis-19057	119	10	dataset	dataset	NOUN
bracis-19057	119	11	specially	specially	ADV
bracis-19057	119	12	built	build	VERB
bracis-19057	119	13	for	for	ADP
bracis-19057	119	14	this	this	DET
bracis-19057	119	15	work	work	NOUN
bracis-19057	119	16	,	,	PUNCT
bracis-19057	119	17	obtained	obtain	VERB
bracis-19057	119	18	from	from	ADP
bracis-19057	119	19	the	the	DET
bracis-19057	119	20	analysis	analysis	NOUN
bracis-19057	119	21	of	of	ADP
bracis-19057	119	22	publicly	publicly	ADV
bracis-19057	119	23	available	available	ADJ
bracis-19057	119	24	data	datum	NOUN
bracis-19057	119	25	of	of	ADP
bracis-19057	119	26	de	de	ADJ
bracis-19057	119	27	-	-	ADJ
bracis-19057	119	28	identified	identify	VERB
bracis-19057	119	29	covid-19	covid-19	PROPN
bracis-19057	119	30	patients	patient	NOUN
bracis-19057	119	31	from	from	ADP
bracis-19057	119	32	one	one	NUM
bracis-19057	119	33	of	of	ADP
bracis-19057	119	34	the	the	DET
bracis-19057	119	35	main	main	ADJ
bracis-19057	119	36	hospitals	hospital	NOUN
bracis-19057	119	37	in	in	ADP
bracis-19057	119	38	brazil	brazil	PROPN
bracis-19057	119	39	.	.	PUNCT
bracis-19057	120	1	each	each	DET
bracis-19057	120	2	dataset	dataset	NOUN
bracis-19057	120	3	is	be	AUX
bracis-19057	120	4	processed	process	VERB
bracis-19057	120	5	20	20	NUM
bracis-19057	120	6	times	time	NOUN
bracis-19057	120	7	by	by	ADP
bracis-19057	120	8	all	all	DET
bracis-19057	120	9	models	model	NOUN
bracis-19057	120	10	,	,	PUNCT
bracis-19057	120	11	each	each	DET
bracis-19057	120	12	time	time	NOUN
bracis-19057	120	13	having	have	VERB
bracis-19057	120	14	their	their	PRON
bracis-19057	120	15	data	data	NOUN
bracis-19057	120	16	items	item	NOUN
bracis-19057	120	17	shuffled	shuffle	VERB
bracis-19057	120	18	by	by	ADP
bracis-19057	120	19	using	use	VERB
bracis-19057	120	20	a	a	DET
bracis-19057	120	21	different	different	ADJ
bracis-19057	120	22	random	random	ADJ
bracis-19057	120	23	seed	seed	NOUN
bracis-19057	120	24	.	.	PUNCT
bracis-19057	121	1	the	the	DET
bracis-19057	121	2	final	final	ADJ
bracis-19057	121	3	accuracy	accuracy	NOUN
bracis-19057	121	4	scores	score	NOUN
bracis-19057	121	5	are	be	AUX
bracis-19057	121	6	the	the	DET
bracis-19057	121	7	averaged	average	VERB
bracis-19057	121	8	ones	one	NOUN
bracis-19057	121	9	achieved	achieve	VERB
bracis-19057	121	10	by	by	ADP
bracis-19057	121	11	each	each	DET
bracis-19057	121	12	model	model	NOUN
bracis-19057	121	13	,	,	PUNCT
bracis-19057	121	14	on	on	ADP
bracis-19057	121	15	each	each	DET
bracis-19057	121	16	dataset	dataset	NOUN
bracis-19057	121	17	.	.	PUNCT
bracis-19057	122	1	for	for	ADP
bracis-19057	122	2	splitting	split	VERB
bracis-19057	122	3	each	each	DET
bracis-19057	122	4	dataset	dataset	NOUN
bracis-19057	122	5	into	into	ADP
bracis-19057	122	6	2	2	NUM
bracis-19057	122	7	subdatasets	subdataset	NOUN
bracis-19057	122	8	,	,	PUNCT
bracis-19057	122	9	for	for	ADP
bracis-19057	122	10	training	training	NOUN
bracis-19057	122	11	and	and	CCONJ
bracis-19057	122	12	testing	testing	NOUN
bracis-19057	122	13	purposes	purpose	NOUN
bracis-19057	122	14	,	,	PUNCT
bracis-19057	122	15	we	we	PRON
bracis-19057	122	16	make	make	VERB
bracis-19057	122	17	use	use	NOUN
bracis-19057	122	18	of	of	ADP
bracis-19057	122	19	a	a	DET
bracis-19057	122	20	function	function	NOUN
bracis-19057	122	21	that	that	PRON
bracis-19057	122	22	returns	return	VERB
bracis-19057	122	23	a	a	DET
bracis-19057	122	24	train	train	NOUN
bracis-19057	122	25	-	-	PUNCT
bracis-19057	122	26	test	test	NOUN
bracis-19057	122	27	split	split	NOUN
bracis-19057	122	28	with	with	ADP
bracis-19057	122	29	75	75	NUM
bracis-19057	122	30	%	%	NOUN
bracis-19057	122	31	and	and	CCONJ
bracis-19057	122	32	25	25	NUM
bracis-19057	122	33	%	%	NOUN
bracis-19057	122	34	the	the	DET
bracis-19057	122	35	size	size	NOUN
bracis-19057	122	36	of	of	ADP
bracis-19057	122	37	the	the	DET
bracis-19057	122	38	inputs	input	NOUN
bracis-19057	122	39	,	,	PUNCT
bracis-19057	122	40	respectively	respectively	ADV
bracis-19057	122	41	.	.	PUNCT
bracis-19057	123	1	table	table	NOUN
bracis-19057	123	2	1	1	NUM
bracis-19057	123	3	.	.	X
bracis-19057	124	1	meta	meta	VERB
bracis-19057	124	2	information	information	NOUN
bracis-19057	124	3	of	of	ADP
bracis-19057	124	4	the	the	DET
bracis-19057	124	5	datasets	dataset	NOUN
bracis-19057	124	6	used	use	VERB
bracis-19057	124	7	in	in	ADP
bracis-19057	124	8	the	the	DET
bracis-19057	124	9	experimental	experimental	ADJ
bracis-19057	124	10	resultsfull	resultsfull	NOUN
bracis-19057	124	11	size	size	NOUN
bracis-19057	124	12	table	table	NOUN
bracis-19057	124	13	a	a	DET
bracis-19057	124	14	succinct	succinct	ADJ
bracis-19057	124	15	meta	meta	NOUN
bracis-19057	124	16	-	-	PUNCT
bracis-19057	124	17	information	information	NOUN
bracis-19057	124	18	of	of	ADP
bracis-19057	124	19	the	the	DET
bracis-19057	124	20	benchmark	benchmark	ADJ
bracis-19057	124	21	datasets	dataset	NOUN
bracis-19057	124	22	used	use	VERB
bracis-19057	124	23	for	for	ADP
bracis-19057	124	24	obtaining	obtain	VERB
bracis-19057	124	25	the	the	DET
bracis-19057	124	26	experimental	experimental	ADJ
bracis-19057	124	27	results	result	NOUN
bracis-19057	124	28	is	be	AUX
bracis-19057	124	29	given	give	VERB
bracis-19057	124	30	in	in	ADP
bracis-19057	124	31	table	table	NOUN
bracis-19057	124	32	 	 	SPACE
bracis-19057	124	33	1	1	NUM
bracis-19057	124	34	.	.	PUNCT
bracis-19057	125	1	circles_00	circles_00	INTJ
bracis-19057	125	2	and	and	CCONJ
bracis-19057	125	3	circles_02	circles_02	PROPN
bracis-19057	125	4	datasets	dataset	NOUN
bracis-19057	125	5	are	be	AUX
bracis-19057	125	6	two	two	NUM
bracis-19057	125	7	concentric	concentric	ADJ
bracis-19057	125	8	circles	circle	NOUN
bracis-19057	125	9	without	without	ADP
bracis-19057	125	10	noise	noise	NOUN
bracis-19057	125	11	and	and	CCONJ
bracis-19057	125	12	with	with	ADP
bracis-19057	125	13	a	a	DET
bracis-19057	125	14	20	20	NUM
bracis-19057	125	15	%	%	NOUN
bracis-19057	125	16	noise	noise	NOUN
bracis-19057	125	17	,	,	PUNCT
bracis-19057	125	18	respectively	respectively	ADV
bracis-19057	125	19	.	.	PUNCT
bracis-19057	126	1	moons_00	moons_00	NOUN
bracis-19057	126	2	and	and	CCONJ
bracis-19057	126	3	moons_02	moons_02	ADJ
bracis-19057	126	4	datasets	dataset	NOUN
bracis-19057	126	5	are	be	AUX
bracis-19057	126	6	two	two	NUM
bracis-19057	126	7	moons	moon	NOUN
bracis-19057	126	8	without	without	ADP
bracis-19057	126	9	noise	noise	NOUN
bracis-19057	126	10	and	and	CCONJ
bracis-19057	126	11	with	with	ADP
bracis-19057	126	12	a	a	DET
bracis-19057	126	13	20	20	NUM
bracis-19057	126	14	%	%	NOUN
bracis-19057	126	15	noise	noise	NOUN
bracis-19057	126	16	,	,	PUNCT
bracis-19057	126	17	respectively	respectively	ADV
bracis-19057	126	18	.	.	PUNCT
bracis-19057	127	1	for	for	ADP
bracis-19057	127	2	a	a	DET
bracis-19057	127	3	detailed	detailed	ADJ
bracis-19057	127	4	description	description	NOUN
bracis-19057	127	5	of	of	ADP
bracis-19057	127	6	the	the	DET
bracis-19057	127	7	real	real	ADJ
bracis-19057	127	8	datasets	dataset	NOUN
bracis-19057	127	9	,	,	PUNCT
bracis-19057	127	10	one	one	PRON
bracis-19057	127	11	can	can	AUX
bracis-19057	127	12	refer	refer	VERB
bracis-19057	127	13	to	to	ADP
bracis-19057	127	14	[	[	X
bracis-19057	127	15	14	14	NUM
bracis-19057	127	16	]	]	PUNCT
bracis-19057	127	17	.	.	PUNCT
bracis-19057	128	1	table	table	NOUN
bracis-19057	128	2	2	2	NUM
bracis-19057	128	3	.	.	NUM
bracis-19057	129	1	tests	test	NOUN
bracis-19057	129	2	considered	consider	VERB
bracis-19057	129	3	for	for	ADP
bracis-19057	129	4	identifying	identify	VERB
bracis-19057	129	5	signs	sign	NOUN
bracis-19057	129	6	of	of	ADP
bracis-19057	129	7	insufficiency	insufficiency	NOUN
bracis-19057	129	8	in	in	ADP
bracis-19057	129	9	patients	patient	NOUN
bracis-19057	129	10	and	and	CCONJ
bracis-19057	129	11	respective	respective	ADJ
bracis-19057	129	12	cbc	cbc	NOUN
bracis-19057	129	13	tests	test	NOUN
bracis-19057	129	14	considered	consider	VERB
bracis-19057	129	15	for	for	ADP
bracis-19057	129	16	detecting	detect	VERB
bracis-19057	129	17	those	those	DET
bracis-19057	129	18	signsfull	signsfull	ADJ
bracis-19057	129	19	size	size	NOUN
bracis-19057	129	20	table	table	NOUN
bracis-19057	129	21	we	we	PRON
bracis-19057	129	22	built	build	VERB
bracis-19057	129	23	the	the	DET
bracis-19057	129	24	covid-19	covid-19	PROPN
bracis-19057	129	25	dataset	dataset	NOUN
bracis-19057	129	26	from	from	ADP
bracis-19057	129	27	originally	originally	ADV
bracis-19057	129	28	unlabeled	unlabele	VERB
bracis-19057	129	29	data	datum	NOUN
bracis-19057	129	30	[	[	X
bracis-19057	129	31	10	10	NUM
bracis-19057	129	32	]	]	PUNCT
bracis-19057	129	33	collected	collect	VERB
bracis-19057	129	34	from	from	ADP
bracis-19057	129	35	covid-19	covid-19	PROPN
bracis-19057	129	36	patients	patient	NOUN
bracis-19057	129	37	of	of	ADP
bracis-19057	129	38	the	the	DET
bracis-19057	129	39	israelite	israelite	PROPN
bracis-19057	129	40	albert	albert	PROPN
bracis-19057	129	41	einstein	einstein	PROPN
bracis-19057	129	42	hospital	hospital	PROPN
bracis-19057	129	43	,	,	PUNCT
bracis-19057	129	44	located	locate	VERB
bracis-19057	129	45	in	in	ADP
bracis-19057	129	46	sao	sao	PROPN
bracis-19057	129	47	paulo	paulo	PROPN
bracis-19057	129	48	,	,	PUNCT
bracis-19057	129	49	brazil	brazil	PROPN
bracis-19057	129	50	.	.	PUNCT
bracis-19057	130	1	the	the	DET
bracis-19057	130	2	original	original	ADJ
bracis-19057	130	3	database	database	NOUN
bracis-19057	130	4	comprises	comprise	VERB
bracis-19057	130	5	a	a	DET
bracis-19057	130	6	total	total	NOUN
bracis-19057	130	7	of	of	ADP
bracis-19057	130	8	1,853,695	1,853,695	NUM
bracis-19057	130	9	results	result	NOUN
bracis-19057	130	10	from	from	ADP
bracis-19057	130	11	127	127	NUM
bracis-19057	130	12	different	different	ADJ
bracis-19057	130	13	medical	medical	ADJ
bracis-19057	130	14	tests	test	NOUN
bracis-19057	130	15	,	,	PUNCT
bracis-19057	130	16	collected	collect	VERB
bracis-19057	130	17	from	from	ADP
bracis-19057	130	18	43,562	43,562	NUM
bracis-19057	130	19	de	de	ADJ
bracis-19057	130	20	-	-	ADJ
bracis-19057	130	21	identified	identify	VERB
bracis-19057	130	22	patients	patient	NOUN
bracis-19057	130	23	,	,	PUNCT
bracis-19057	130	24	who	who	PRON
bracis-19057	130	25	received	receive	VERB
bracis-19057	130	26	treatment	treatment	NOUN
bracis-19057	130	27	in	in	ADP
bracis-19057	130	28	the	the	DET
bracis-19057	130	29	hospital	hospital	NOUN
bracis-19057	130	30	from	from	ADP
bracis-19057	130	31	january	january	PROPN
bracis-19057	130	32	1	1	NUM
bracis-19057	130	33	,	,	PUNCT
bracis-19057	130	34	2020	2020	NUM
bracis-19057	130	35	until	until	ADP
bracis-19057	130	36	june	june	PROPN
bracis-19057	130	37	24	24	NUM
bracis-19057	130	38	,	,	PUNCT
bracis-19057	130	39	2020	2020	NUM
bracis-19057	130	40	.	.	PUNCT
bracis-19057	131	1	firstly	firstly	ADV
bracis-19057	131	2	,	,	PUNCT
bracis-19057	131	3	we	we	PRON
bracis-19057	131	4	identify	identify	VERB
bracis-19057	131	5	the	the	DET
bracis-19057	131	6	patients	patient	NOUN
bracis-19057	131	7	who	who	PRON
bracis-19057	131	8	tested	test	VERB
bracis-19057	131	9	positive	positive	ADJ
bracis-19057	131	10	in	in	ADP
bracis-19057	131	11	at	at	ADV
bracis-19057	131	12	least	least	ADJ
bracis-19057	131	13	one	one	NUM
bracis-19057	131	14	of	of	ADP
bracis-19057	131	15	the	the	DET
bracis-19057	131	16	following	follow	VERB
bracis-19057	131	17	covid-19	covid-19	PROPN
bracis-19057	131	18	detection	detection	NOUN
bracis-19057	131	19	tests	test	NOUN
bracis-19057	131	20	:	:	PUNCT
bracis-19057	131	21	polymerase	polymerase	NOUN
bracis-19057	131	22	chain	chain	NOUN
bracis-19057	131	23	reaction	reaction	NOUN
bracis-19057	131	24	(	(	PUNCT
bracis-19057	131	25	pcr	pcr	PROPN
bracis-19057	131	26	)	)	PUNCT
bracis-19057	131	27	,	,	PUNCT
bracis-19057	131	28	immunoglobulin	immunoglobulin	NOUN
bracis-19057	131	29	m	m	PROPN
bracis-19057	131	30	(	(	PUNCT
bracis-19057	131	31	igm	igm	PROPN
bracis-19057	131	32	)	)	PUNCT
bracis-19057	131	33	,	,	PUNCT
bracis-19057	131	34	immunoglobulin	immunoglobulin	NOUN
bracis-19057	131	35	g	g	PROPN
bracis-19057	131	36	(	(	PUNCT
bracis-19057	131	37	igg	igg	PROPN
bracis-19057	131	38	)	)	PUNCT
bracis-19057	131	39	and	and	CCONJ
bracis-19057	131	40	enzyme	enzyme	NOUN
bracis-19057	131	41	-	-	PUNCT
bracis-19057	131	42	linked	link	VERB
bracis-19057	131	43	immunosorbent	immunosorbent	NOUN
bracis-19057	131	44	assay	assay	PROPN
bracis-19057	131	45	(	(	PUNCT
bracis-19057	131	46	elisa	elisa	NOUN
bracis-19057	131	47	)	)	PUNCT
bracis-19057	131	48	.	.	PUNCT
bracis-19057	132	1	next	next	ADV
bracis-19057	132	2	,	,	PUNCT
bracis-19057	132	3	we	we	PRON
bracis-19057	132	4	filter	filter	VERB
bracis-19057	132	5	the	the	DET
bracis-19057	132	6	patients	patient	NOUN
bracis-19057	132	7	and	and	CCONJ
bracis-19057	132	8	left	leave	VERB
bracis-19057	132	9	in	in	ADP
bracis-19057	132	10	the	the	DET
bracis-19057	132	11	dataset	dataset	NOUN
bracis-19057	132	12	only	only	ADV
bracis-19057	132	13	the	the	DET
bracis-19057	132	14	ones	one	NOUN
bracis-19057	132	15	who	who	PRON
bracis-19057	132	16	have	have	AUX
bracis-19057	132	17	made	make	VERB
bracis-19057	132	18	at	at	ADP
bracis-19057	132	19	least	least	ADV
bracis-19057	132	20	one	one	NUM
bracis-19057	132	21	complete	complete	ADJ
bracis-19057	132	22	blood	blood	NOUN
bracis-19057	132	23	count	count	NOUN
bracis-19057	132	24	(	(	PUNCT
bracis-19057	132	25	cbc	cbc	PROPN
bracis-19057	132	26	)	)	PUNCT
bracis-19057	132	27	test	test	NOUN
bracis-19057	132	28	,	,	PUNCT
bracis-19057	132	29	in	in	ADP
bracis-19057	132	30	a	a	DET
bracis-19057	132	31	date	date	NOUN
bracis-19057	132	32	no	no	ADV
bracis-19057	132	33	earlier	early	ADV
bracis-19057	132	34	than	than	ADP
bracis-19057	132	35	the	the	DET
bracis-19057	132	36	date	date	NOUN
bracis-19057	132	37	to	to	PART
bracis-19057	132	38	be	be	AUX
bracis-19057	132	39	tested	test	VERB
bracis-19057	132	40	positive	positive	ADJ
bracis-19057	132	41	for	for	ADP
bracis-19057	132	42	covid-19	covid-19	PROPN
bracis-19057	132	43	.	.	PUNCT
bracis-19057	133	1	in	in	ADP
bracis-19057	133	2	case	case	NOUN
bracis-19057	133	3	a	a	DET
bracis-19057	133	4	patient	patient	NOUN
bracis-19057	133	5	has	have	AUX
bracis-19057	133	6	made	make	VERB
bracis-19057	133	7	more	more	ADJ
bracis-19057	133	8	than	than	ADP
bracis-19057	133	9	one	one	NUM
bracis-19057	133	10	cbc	cbc	NOUN
bracis-19057	133	11	test	test	NOUN
bracis-19057	133	12	,	,	PUNCT
bracis-19057	133	13	we	we	PRON
bracis-19057	133	14	then	then	ADV
bracis-19057	133	15	consider	consider	VERB
bracis-19057	133	16	only	only	ADV
bracis-19057	133	17	the	the	DET
bracis-19057	133	18	results	result	NOUN
bracis-19057	133	19	of	of	ADP
bracis-19057	133	20	the	the	DET
bracis-19057	133	21	first	first	ADJ
bracis-19057	133	22	test	test	NOUN
bracis-19057	133	23	for	for	ADP
bracis-19057	133	24	predicting	predict	VERB
bracis-19057	133	25	early	early	ADJ
bracis-19057	133	26	signs	sign	NOUN
bracis-19057	133	27	of	of	ADP
bracis-19057	133	28	insufficiency	insufficiency	NOUN
bracis-19057	133	29	.	.	PUNCT
bracis-19057	134	1	we	we	PRON
bracis-19057	134	2	adopt	adopt	VERB
bracis-19057	134	3	this	this	DET
bracis-19057	134	4	procedure	procedure	NOUN
bracis-19057	134	5	because	because	SCONJ
bracis-19057	134	6	we	we	PRON
bracis-19057	134	7	aim	aim	VERB
bracis-19057	134	8	to	to	PART
bracis-19057	134	9	make	make	VERB
bracis-19057	134	10	predictions	prediction	NOUN
bracis-19057	134	11	based	base	VERB
bracis-19057	134	12	on	on	ADP
bracis-19057	134	13	early	early	ADJ
bracis-19057	134	14	signs	sign	NOUN
bracis-19057	134	15	of	of	ADP
bracis-19057	134	16	insufficiency	insufficiency	NOUN
bracis-19057	134	17	,	,	PUNCT
bracis-19057	134	18	hence	hence	ADV
bracis-19057	134	19	the	the	DET
bracis-19057	134	20	use	use	NOUN
bracis-19057	134	21	of	of	ADP
bracis-19057	134	22	only	only	ADV
bracis-19057	134	23	the	the	DET
bracis-19057	134	24	first	first	ADJ
bracis-19057	134	25	cbc	cbc	PROPN
bracis-19057	134	26	test	test	NOUN
bracis-19057	134	27	for	for	ADP
bracis-19057	134	28	the	the	DET
bracis-19057	134	29	predictions	prediction	NOUN
bracis-19057	134	30	.	.	PUNCT
bracis-19057	135	1	afterwards	afterwards	ADV
bracis-19057	135	2	,	,	PUNCT
bracis-19057	135	3	we	we	PRON
bracis-19057	135	4	run	run	VERB
bracis-19057	135	5	an	an	DET
bracis-19057	135	6	algorithm	algorithm	NOUN
bracis-19057	135	7	to	to	PART
bracis-19057	135	8	automatically	automatically	ADV
bracis-19057	135	9	label	label	VERB
bracis-19057	135	10	each	each	DET
bracis-19057	135	11	patient	patient	NOUN
bracis-19057	135	12	of	of	ADP
bracis-19057	135	13	the	the	DET
bracis-19057	135	14	dataset	dataset	NOUN
bracis-19057	135	15	as	as	ADP
bracis-19057	135	16	presenting	presenting	NOUN
bracis-19057	135	17	or	or	CCONJ
bracis-19057	135	18	not	not	PART
bracis-19057	135	19	signs	sign	NOUN
bracis-19057	135	20	from	from	ADP
bracis-19057	135	21	each	each	DET
bracis-19057	135	22	type	type	NOUN
bracis-19057	135	23	of	of	ADP
bracis-19057	135	24	insufficiency	insufficiency	NOUN
bracis-19057	135	25	,	,	PUNCT
bracis-19057	135	26	strictly	strictly	ADV
bracis-19057	135	27	according	accord	VERB
bracis-19057	135	28	to	to	ADP
bracis-19057	135	29	results	result	NOUN
bracis-19057	135	30	from	from	ADP
bracis-19057	135	31	specific	specific	ADJ
bracis-19057	135	32	tests	test	NOUN
bracis-19057	135	33	,	,	PUNCT
bracis-19057	135	34	listed	list	VERB
bracis-19057	135	35	in	in	ADP
bracis-19057	135	36	the	the	DET
bracis-19057	135	37	second	second	ADJ
bracis-19057	135	38	column	column	NOUN
bracis-19057	135	39	of	of	ADP
bracis-19057	135	40	table	table	NOUN
bracis-19057	135	41	 	 	SPACE
bracis-19057	135	42	2	2	NUM
bracis-19057	135	43	,	,	PUNCT
bracis-19057	135	44	and	and	CCONJ
bracis-19057	135	45	using	use	VERB
bracis-19057	135	46	their	their	PRON
bracis-19057	135	47	respective	respective	ADJ
bracis-19057	135	48	reference	reference	NOUN
bracis-19057	135	49	values	value	NOUN
bracis-19057	135	50	provided	provide	VERB
bracis-19057	135	51	in	in	ADP
bracis-19057	135	52	the	the	DET
bracis-19057	135	53	same	same	ADJ
bracis-19057	135	54	original	original	ADJ
bracis-19057	135	55	database	database	NOUN
bracis-19057	135	56	,	,	PUNCT
bracis-19057	135	57	which	which	PRON
bracis-19057	135	58	are	be	AUX
bracis-19057	135	59	standardized	standardize	VERB
bracis-19057	135	60	in	in	ADP
bracis-19057	135	61	the	the	DET
bracis-19057	135	62	medical	medical	ADJ
bracis-19057	135	63	literature	literature	NOUN
bracis-19057	135	64	.	.	PUNCT
bracis-19057	136	1	after	after	ADP
bracis-19057	136	2	the	the	DET
bracis-19057	136	3	data	datum	NOUN
bracis-19057	136	4	cleansing	cleansing	NOUN
bracis-19057	136	5	,	,	PUNCT
bracis-19057	136	6	we	we	PRON
bracis-19057	136	7	end	end	VERB
bracis-19057	136	8	up	up	ADP
bracis-19057	136	9	with	with	ADP
bracis-19057	136	10	a	a	DET
bracis-19057	136	11	total	total	NOUN
bracis-19057	136	12	of	of	ADP
bracis-19057	136	13	2,982	2,982	NUM
bracis-19057	136	14	different	different	ADJ
bracis-19057	136	15	patients	patient	NOUN
bracis-19057	136	16	in	in	ADP
bracis-19057	136	17	the	the	DET
bracis-19057	136	18	dataset	dataset	NOUN
bracis-19057	136	19	,	,	PUNCT
bracis-19057	136	20	with	with	ADP
bracis-19057	136	21	each	each	PRON
bracis-19057	136	22	of	of	ADP
bracis-19057	136	23	them	they	PRON
bracis-19057	136	24	belonging	belong	VERB
bracis-19057	136	25	to	to	ADP
bracis-19057	136	26	one	one	NUM
bracis-19057	136	27	of	of	ADP
bracis-19057	136	28	the	the	DET
bracis-19057	136	29	following	follow	VERB
bracis-19057	136	30	4	4	NUM
bracis-19057	136	31	classes	class	NOUN
bracis-19057	136	32	:	:	PUNCT
bracis-19057	136	33	healthy	healthy	ADJ
bracis-19057	136	34	,	,	PUNCT
bracis-19057	136	35	hepatic	hepatic	ADJ
bracis-19057	136	36	insufficiency	insufficiency	NOUN
bracis-19057	136	37	signs	sign	NOUN
bracis-19057	136	38	,	,	PUNCT
bracis-19057	136	39	renal	renal	ADJ
bracis-19057	136	40	insufficiency	insufficiency	NOUN
bracis-19057	136	41	signs	sign	NOUN
bracis-19057	136	42	,	,	PUNCT
bracis-19057	136	43	and	and	CCONJ
bracis-19057	136	44	respiratory	respiratory	ADJ
bracis-19057	136	45	insufficiency	insufficiency	NOUN
bracis-19057	136	46	signs	sign	NOUN
bracis-19057	136	47	.	.	PUNCT
bracis-19057	137	1	for	for	ADP
bracis-19057	137	2	determining	determine	VERB
bracis-19057	137	3	the	the	DET
bracis-19057	137	4	predictive	predictive	ADJ
bracis-19057	137	5	attributes	attribute	NOUN
bracis-19057	137	6	(	(	PUNCT
bracis-19057	137	7	or	or	CCONJ
bracis-19057	137	8	biomarkers	biomarker	NOUN
bracis-19057	137	9	)	)	PUNCT
bracis-19057	137	10	for	for	ADP
bracis-19057	137	11	each	each	DET
bracis-19057	137	12	type	type	NOUN
bracis-19057	137	13	of	of	ADP
bracis-19057	137	14	insufficiency	insufficiency	NOUN
bracis-19057	137	15	,	,	PUNCT
bracis-19057	137	16	we	we	PRON
bracis-19057	137	17	make	make	VERB
bracis-19057	137	18	use	use	NOUN
bracis-19057	137	19	of	of	ADP
bracis-19057	137	20	the	the	DET
bracis-19057	137	21	pearson	pearson	PROPN
bracis-19057	137	22	correlation	correlation	NOUN
bracis-19057	137	23	coefficient	coefficient	NOUN
bracis-19057	138	1	[	[	X
bracis-19057	138	2	16	16	NUM
bracis-19057	138	3	]	]	PUNCT
bracis-19057	138	4	,	,	PUNCT
bracis-19057	138	5	to	to	PART
bracis-19057	138	6	select	select	VERB
bracis-19057	138	7	the	the	DET
bracis-19057	138	8	cbc	cbc	NOUN
bracis-19057	138	9	tests	test	NOUN
bracis-19057	138	10	that	that	PRON
bracis-19057	138	11	are	be	AUX
bracis-19057	138	12	most	most	ADV
bracis-19057	138	13	correlated	correlate	VERB
bracis-19057	138	14	to	to	ADP
bracis-19057	138	15	the	the	DET
bracis-19057	138	16	labels	label	NOUN
bracis-19057	138	17	,	,	PUNCT
bracis-19057	138	18	i.e.	i.e.	X
bracis-19057	138	19	,	,	PUNCT
bracis-19057	138	20	to	to	ADP
bracis-19057	138	21	each	each	DET
bracis-19057	138	22	type	type	NOUN
bracis-19057	138	23	of	of	ADP
bracis-19057	138	24	insufficiency	insufficiency	NOUN
bracis-19057	138	25	.	.	PUNCT
bracis-19057	139	1	at	at	ADP
bracis-19057	139	2	the	the	DET
bracis-19057	139	3	end	end	NOUN
bracis-19057	139	4	,	,	PUNCT
bracis-19057	139	5	the	the	DET
bracis-19057	139	6	following	follow	VERB
bracis-19057	139	7	biomarkers	biomarker	NOUN
bracis-19057	139	8	were	be	AUX
bracis-19057	139	9	used	use	VERB
bracis-19057	139	10	for	for	ADP
bracis-19057	139	11	this	this	DET
bracis-19057	139	12	end	end	NOUN
bracis-19057	139	13	:	:	PUNCT
bracis-19057	139	14	age	age	NOUN
bracis-19057	139	15	,	,	PUNCT
bracis-19057	139	16	neutrophils	neutrophil	NOUN
bracis-19057	139	17	,	,	PUNCT
bracis-19057	139	18	basophils	basophil	NOUN
bracis-19057	139	19	,	,	PUNCT
bracis-19057	139	20	lymphocytes	lymphocyte	NOUN
bracis-19057	139	21	,	,	PUNCT
bracis-19057	139	22	eosinophils	eosinophil	NOUN
bracis-19057	139	23	and	and	CCONJ
bracis-19057	139	24	red	red	ADJ
bracis-19057	139	25	cell	cell	NOUN
bracis-19057	139	26	distribution	distribution	NOUN
bracis-19057	139	27	width	width	NOUN
bracis-19057	139	28	(	(	PUNCT
bracis-19057	139	29	rdw	rdw	NOUN
bracis-19057	139	30	)	)	PUNCT
bracis-19057	139	31	.	.	PUNCT
bracis-19057	140	1	in	in	ADP
bracis-19057	140	2	table	table	NOUN
bracis-19057	140	3	 	 	SPACE
bracis-19057	140	4	2	2	NUM
bracis-19057	140	5	,	,	PUNCT
bracis-19057	140	6	we	we	PRON
bracis-19057	140	7	provided	provide	VERB
bracis-19057	140	8	an	an	DET
bracis-19057	140	9	overview	overview	NOUN
bracis-19057	140	10	of	of	ADP
bracis-19057	140	11	how	how	SCONJ
bracis-19057	140	12	the	the	DET
bracis-19057	140	13	covid-19	covid-19	PROPN
bracis-19057	140	14	dataset	dataset	NOUN
bracis-19057	140	15	has	have	AUX
bracis-19057	140	16	been	be	AUX
bracis-19057	140	17	built	build	VERB
bracis-19057	140	18	,	,	PUNCT
bracis-19057	140	19	showing	show	VERB
bracis-19057	140	20	all	all	DET
bracis-19057	140	21	tests	test	NOUN
bracis-19057	140	22	considered	consider	VERB
bracis-19057	140	23	,	,	PUNCT
bracis-19057	140	24	both	both	PRON
bracis-19057	140	25	for	for	ADP
bracis-19057	140	26	the	the	DET
bracis-19057	140	27	labels	label	NOUN
bracis-19057	140	28	and	and	CCONJ
bracis-19057	140	29	predictive	predictive	ADJ
bracis-19057	140	30	attributes	attribute	NOUN
bracis-19057	140	31	generation	generation	NOUN
bracis-19057	140	32	.	.	PUNCT
bracis-19057	141	1	the	the	DET
bracis-19057	141	2	details	detail	NOUN
bracis-19057	141	3	regarding	regard	VERB
bracis-19057	141	4	all	all	DET
bracis-19057	141	5	patients	patient	NOUN
bracis-19057	141	6	in	in	ADP
bracis-19057	141	7	the	the	DET
bracis-19057	141	8	dataset	dataset	NOUN
bracis-19057	141	9	are	be	AUX
bracis-19057	141	10	summarized	summarize	VERB
bracis-19057	141	11	in	in	ADP
bracis-19057	141	12	table	table	NOUN
bracis-19057	141	13	 	 	SPACE
bracis-19057	141	14	3	3	NUM
bracis-19057	141	15	.	.	PUNCT
bracis-19057	141	16	table	table	NOUN
bracis-19057	141	17	3	3	NUM
bracis-19057	141	18	.	.	X
bracis-19057	141	19	overview	overview	NOUN
bracis-19057	141	20	of	of	ADP
bracis-19057	141	21	the	the	DET
bracis-19057	141	22	patients	patient	NOUN
bracis-19057	141	23	in	in	ADP
bracis-19057	141	24	the	the	DET
bracis-19057	141	25	built	build	VERB
bracis-19057	141	26	covid-19	covid-19	PROPN
bracis-19057	141	27	datasetfull	datasetfull	ADJ
bracis-19057	141	28	size	size	NOUN
bracis-19057	141	29	table	table	NOUN
bracis-19057	141	30	the	the	DET
bracis-19057	141	31	models	model	NOUN
bracis-19057	141	32	performances	performance	VERB
bracis-19057	141	33	on	on	ADP
bracis-19057	141	34	the	the	DET
bracis-19057	141	35	covid-19	covid-19	PROPN
bracis-19057	141	36	dataset	dataset	NOUN
bracis-19057	141	37	are	be	AUX
bracis-19057	141	38	evaluated	evaluate	VERB
bracis-19057	141	39	by	by	ADP
bracis-19057	141	40	the	the	DET
bracis-19057	141	41	following	follow	VERB
bracis-19057	141	42	indicators	indicator	NOUN
bracis-19057	141	43	:	:	PUNCT
bracis-19057	142	1	accuracy	accuracy	NOUN
bracis-19057	142	2	(	(	PUNCT
bracis-19057	142	3	ratio	ratio	NOUN
bracis-19057	142	4	of	of	ADP
bracis-19057	142	5	true	true	ADJ
bracis-19057	142	6	predictions	prediction	NOUN
bracis-19057	142	7	over	over	ADP
bracis-19057	142	8	all	all	DET
bracis-19057	142	9	predictions	prediction	NOUN
bracis-19057	142	10	)	)	PUNCT
bracis-19057	142	11	,	,	PUNCT
bracis-19057	142	12	precision	precision	NOUN
bracis-19057	142	13	,	,	PUNCT
bracis-19057	142	14	sensitivity	sensitivity	NOUN
bracis-19057	142	15	/	/	SYM
bracis-19057	142	16	recall	recall	NOUN
bracis-19057	142	17	and	and	CCONJ
bracis-19057	142	18	f1	f1	NOUN
bracis-19057	142	19	score	score	NOUN
bracis-19057	142	20	,	,	PUNCT
bracis-19057	142	21	as	as	SCONJ
bracis-19057	142	22	defined	define	VERB
bracis-19057	142	23	below	below	ADP
bracis-19057	142	24	:	:	PUNCT
bracis-19057	142	25	$	$	SYM
bracis-19057	142	26	$	$	SYM
bracis-19057	142	27	\begin{aligned	\begin{aligne	VERB
bracis-19057	142	28	}	}	PUNCT
bracis-19057	142	29	\text	\text	ADP
bracis-19057	142	30	{	{	PUNCT
bracis-19057	142	31	precision	precision	NOUN
bracis-19057	142	32	}	}	PUNCT
bracis-19057	142	33	=	=	PUNCT
bracis-19057	142	34	\frac{\text	\frac{\text	X
bracis-19057	142	35	{	{	PUNCT
bracis-19057	142	36	tp}}{\text	tp}}{\text	NUM
bracis-19057	142	37	{	{	PUNCT
bracis-19057	142	38	tp}+\text	tp}+\text	PROPN
bracis-19057	142	39	{	{	PUNCT
bracis-19057	142	40	fp	fp	PROPN
bracis-19057	142	41	}	}	PUNCT
bracis-19057	142	42	}	}	PUNCT
bracis-19057	142	43	,	,	PUNCT
bracis-19057	142	44	\	\	PROPN
bracis-19057	142	45	,	,	PUNCT
bracis-19057	142	46	\text	\text	ADP
bracis-19057	142	47	{	{	PUNCT
bracis-19057	142	48	recall	recall	NOUN
bracis-19057	142	49	}	}	PUNCT
bracis-19057	142	50	=	=	PUNCT
bracis-19057	142	51	\frac{\text	\frac{\text	X
bracis-19057	142	52	{	{	PUNCT
bracis-19057	142	53	tp}}{\text	tp}}{\text	NUM
bracis-19057	142	54	{	{	PUNCT
bracis-19057	142	55	tp}+\text	tp}+\text	PROPN
bracis-19057	142	56	{	{	PUNCT
bracis-19057	142	57	fn	fn	NOUN
bracis-19057	142	58	}	}	PUNCT
bracis-19057	142	59	}	}	PUNCT
bracis-19057	142	60	,	,	PUNCT
bracis-19057	142	61	\	\	PROPN
bracis-19057	142	62	,	,	PUNCT
bracis-19057	142	63	\text	\text	ADP
bracis-19057	142	64	{	{	PUNCT
bracis-19057	142	65	f1	f1	NOUN
bracis-19057	142	66	}	}	PUNCT
bracis-19057	142	67	=	=	SYM
bracis-19057	142	68	\frac{2	\frac{2	NOUN
bracis-19057	142	69	\times	\times	ADP
bracis-19057	142	70	\text	\text	NOUN
bracis-19057	142	71	{	{	PUNCT
bracis-19057	142	72	precision	precision	NOUN
bracis-19057	142	73	}	}	PUNCT
bracis-19057	142	74	\times	\times	ADP
bracis-19057	142	75	\text	\text	PROPN
bracis-19057	142	76	{	{	PUNCT
bracis-19057	142	77	recall}}{\text	recall}}{\text	X
bracis-19057	142	78	{	{	PUNCT
bracis-19057	142	79	precision	precision	NOUN
bracis-19057	142	80	}	}	PUNCT
bracis-19057	142	81	+	+	CCONJ
bracis-19057	142	82	\text	\text	ADJ
bracis-19057	142	83	{	{	PUNCT
bracis-19057	142	84	recall	recall	NOUN
bracis-19057	142	85	}	}	PUNCT
bracis-19057	142	86	}	}	PUNCT
bracis-19057	142	87	\end{aligned}$$	\end{aligned}$$	X
bracis-19057	142	88	(	(	PUNCT
bracis-19057	142	89	8)	8)	NUM
bracis-19057	142	90	where	where	SCONJ
bracis-19057	142	91	tp	tp	NOUN
bracis-19057	142	92	,	,	PUNCT
bracis-19057	142	93	tn	tn	PROPN
bracis-19057	142	94	,	,	PUNCT
bracis-19057	142	95	fp	fp	PROPN
bracis-19057	142	96	and	and	CCONJ
bracis-19057	142	97	fn	fn	PROPN
bracis-19057	142	98	stand	stand	VERB
bracis-19057	142	99	for	for	ADP
bracis-19057	142	100	true	true	ADJ
bracis-19057	142	101	positive	positive	ADJ
bracis-19057	142	102	,	,	PUNCT
bracis-19057	142	103	true	true	ADJ
bracis-19057	142	104	negative	negative	ADJ
bracis-19057	142	105	,	,	PUNCT
bracis-19057	142	106	false	false	ADJ
bracis-19057	142	107	positive	positive	ADJ
bracis-19057	142	108	and	and	CCONJ
bracis-19057	142	109	false	false	ADJ
bracis-19057	142	110	negative	negative	ADJ
bracis-19057	142	111	rates	rate	NOUN
bracis-19057	142	112	,	,	PUNCT
bracis-19057	142	113	respectively	respectively	ADV
bracis-19057	142	114	.	.	PUNCT
bracis-19057	143	1	for	for	ADP
bracis-19057	143	2	the	the	DET
bracis-19057	143	3	application	application	NOUN
bracis-19057	143	4	,	,	PUNCT
bracis-19057	143	5	we	we	PRON
bracis-19057	143	6	set	set	VERB
bracis-19057	143	7	the	the	DET
bracis-19057	143	8	parameter	parameter	NOUN
bracis-19057	143	9	p	p	NOUN
bracis-19057	143	10	from	from	ADP
bracis-19057	143	11	the	the	DET
bracis-19057	143	12	proposed	propose	VERB
bracis-19057	143	13	technique	technique	NOUN
bracis-19057	143	14	,	,	PUNCT
bracis-19057	143	15	responsible	responsible	ADJ
bracis-19057	143	16	for	for	ADP
bracis-19057	143	17	the	the	DET
bracis-19057	143	18	network	network	NOUN
bracis-19057	143	19	edges	edge	NOUN
bracis-19057	143	20	generation	generation	NOUN
bracis-19057	143	21	,	,	PUNCT
bracis-19057	143	22	as	as	ADP
bracis-19057	143	23	\(p=0.01\	\(p=0.01\	NOUN
bracis-19057	143	24	)	)	PUNCT
bracis-19057	143	25	when	when	SCONJ
bracis-19057	143	26	processing	process	VERB
bracis-19057	143	27	the	the	DET
bracis-19057	143	28	benchmark	benchmark	NOUN
bracis-19057	143	29	datasets	dataset	NOUN
bracis-19057	143	30	,	,	PUNCT
bracis-19057	143	31	and	and	CCONJ
bracis-19057	143	32	\(p=0.02\	\(p=0.02\	NOUN
bracis-19057	143	33	)	)	PUNCT
bracis-19057	143	34	when	when	SCONJ
bracis-19057	143	35	processing	process	VERB
bracis-19057	143	36	the	the	DET
bracis-19057	143	37	covid-19	covid-19	PROPN
bracis-19057	143	38	dataset	dataset	NOUN
bracis-19057	143	39	.	.	PUNCT
bracis-19057	144	1	regarding	regard	VERB
bracis-19057	144	2	the	the	DET
bracis-19057	144	3	network	network	NOUN
bracis-19057	144	4	reduction	reduction	NOUN
bracis-19057	144	5	option	option	NOUN
bracis-19057	144	6	,	,	PUNCT
bracis-19057	144	7	we	we	PRON
bracis-19057	144	8	set	set	VERB
bracis-19057	144	9	\(r=0.1\	\(r=0.1\	ADP
bracis-19057	144	10	)	)	PUNCT
bracis-19057	144	11	(	(	PUNCT
bracis-19057	144	12	10	10	NUM
bracis-19057	144	13	%	%	NOUN
bracis-19057	144	14	)	)	PUNCT
bracis-19057	144	15	when	when	SCONJ
bracis-19057	144	16	processing	process	VERB
bracis-19057	144	17	the	the	DET
bracis-19057	144	18	digits	digit	NOUN
bracis-19057	144	19	dataset	dataset	VERB
bracis-19057	144	20	and	and	CCONJ
bracis-19057	144	21	the	the	DET
bracis-19057	144	22	covid-19	covid-19	PROPN
bracis-19057	144	23	dataset	dataset	NOUN
bracis-19057	144	24	and	and	CCONJ
bracis-19057	144	25	,	,	PUNCT
bracis-19057	144	26	for	for	ADP
bracis-19057	144	27	the	the	DET
bracis-19057	144	28	others	other	NOUN
bracis-19057	144	29	,	,	PUNCT
bracis-19057	144	30	we	we	PRON
bracis-19057	144	31	do	do	AUX
bracis-19057	144	32	not	not	PART
bracis-19057	144	33	make	make	VERB
bracis-19057	144	34	use	use	NOUN
bracis-19057	144	35	of	of	ADP
bracis-19057	144	36	this	this	DET
bracis-19057	144	37	resource	resource	NOUN
bracis-19057	144	38	,	,	PUNCT
bracis-19057	144	39	since	since	SCONJ
bracis-19057	144	40	they	they	PRON
bracis-19057	144	41	are	be	AUX
bracis-19057	144	42	smaller	small	ADJ
bracis-19057	144	43	ones	one	NOUN
bracis-19057	144	44	.	.	PUNCT
bracis-19057	145	1	for	for	ADP
bracis-19057	145	2	the	the	DET
bracis-19057	145	3	sake	sake	NOUN
bracis-19057	145	4	of	of	ADP
bracis-19057	145	5	comparison	comparison	NOUN
bracis-19057	145	6	,	,	PUNCT
bracis-19057	145	7	the	the	DET
bracis-19057	145	8	following	follow	VERB
bracis-19057	145	9	traditional	traditional	ADJ
bracis-19057	145	10	classification	classification	NOUN
bracis-19057	145	11	models	model	NOUN
bracis-19057	145	12	are	be	AUX
bracis-19057	145	13	applied	apply	VERB
bracis-19057	145	14	on	on	ADP
bracis-19057	145	15	all	all	DET
bracis-19057	145	16	datasets	dataset	NOUN
bracis-19057	145	17	:	:	PUNCT
bracis-19057	145	18	decision	decision	NOUN
bracis-19057	145	19	tree	tree	NOUN
bracis-19057	146	1	[	[	X
bracis-19057	146	2	19	19	NUM
bracis-19057	146	3	]	]	PUNCT
bracis-19057	146	4	,	,	PUNCT
bracis-19057	146	5	logistic	logistic	ADJ
bracis-19057	146	6	regression	regression	NOUN
bracis-19057	146	7	[	[	X
bracis-19057	146	8	12	12	NUM
bracis-19057	146	9	]	]	PUNCT
bracis-19057	146	10	,	,	PUNCT
bracis-19057	146	11	multilayer	multilayer	PROPN
bracis-19057	146	12	perceptron	perceptron	PROPN
bracis-19057	146	13	(	(	PUNCT
bracis-19057	146	14	mlp	mlp	PROPN
bracis-19057	146	15	)	)	PUNCT
bracis-19057	147	1	[	[	X
bracis-19057	147	2	13	13	NUM
bracis-19057	147	3	]	]	PUNCT
bracis-19057	147	4	,	,	PUNCT
bracis-19057	147	5	support	support	NOUN
bracis-19057	147	6	vector	vector	NOUN
bracis-19057	147	7	machines	machine	NOUN
bracis-19057	147	8	(	(	PUNCT
bracis-19057	147	9	svm	svm	PROPN
bracis-19057	147	10	)	)	PUNCT
bracis-19057	147	11	with	with	ADP
bracis-19057	147	12	an	an	DET
bracis-19057	147	13	rbf	rbf	PROPN
bracis-19057	147	14	kernel	kernel	PROPN
bracis-19057	148	1	[	[	X
bracis-19057	148	2	25	25	NUM
bracis-19057	148	3	]	]	PUNCT
bracis-19057	148	4	and	and	CCONJ
bracis-19057	148	5	naive	naive	ADJ
bracis-19057	148	6	bayes	baye	NOUN
bracis-19057	148	7	[	[	X
bracis-19057	148	8	18	18	NUM
bracis-19057	148	9	]	]	PUNCT
bracis-19057	148	10	.	.	PUNCT
bracis-19057	149	1	we	we	PRON
bracis-19057	149	2	also	also	ADV
bracis-19057	149	3	apply	apply	VERB
bracis-19057	149	4	the	the	DET
bracis-19057	149	5	following	follow	VERB
bracis-19057	149	6	ensemble	ensemble	ADJ
bracis-19057	149	7	methods	method	NOUN
bracis-19057	149	8	:	:	PUNCT
bracis-19057	149	9	bagging	bagging	NOUN
bracis-19057	149	10	of	of	ADP
bracis-19057	149	11	mlp	mlp	PROPN
bracis-19057	150	1	[	[	X
bracis-19057	150	2	4	4	NUM
bracis-19057	150	3	]	]	PUNCT
bracis-19057	150	4	,	,	PUNCT
bracis-19057	150	5	random	random	ADJ
bracis-19057	150	6	forest	forest	NOUN
bracis-19057	151	1	[	[	X
bracis-19057	151	2	5	5	NUM
bracis-19057	151	3	]	]	PUNCT
bracis-19057	151	4	and	and	CCONJ
bracis-19057	151	5	adaboost	adaboost	ADV
bracis-19057	151	6	[	[	X
bracis-19057	151	7	11	11	NUM
bracis-19057	151	8	]	]	PUNCT
bracis-19057	151	9	.	.	PUNCT
bracis-19057	152	1	all	all	DET
bracis-19057	152	2	models	model	NOUN
bracis-19057	152	3	were	be	AUX
bracis-19057	152	4	implemented	implement	VERB
bracis-19057	152	5	through	through	ADP
bracis-19057	152	6	scikit	scikit	NOUN
bracis-19057	152	7	-	-	PUNCT
bracis-19057	152	8	learn	learn	VERB
bracis-19057	152	9	[	[	X
bracis-19057	152	10	17	17	NUM
bracis-19057	152	11	]	]	PUNCT
bracis-19057	152	12	,	,	PUNCT
bracis-19057	152	13	by	by	ADP
bracis-19057	152	14	using	use	VERB
bracis-19057	152	15	their	their	PRON
bracis-19057	152	16	respective	respective	ADJ
bracis-19057	152	17	default	default	NOUN
bracis-19057	152	18	parameter	parameter	NOUN
bracis-19057	152	19	values	value	NOUN
bracis-19057	152	20	,	,	PUNCT
bracis-19057	152	21	in	in	ADP
bracis-19057	152	22	all	all	DET
bracis-19057	152	23	tests	test	NOUN
bracis-19057	152	24	performed	perform	VERB
bracis-19057	152	25	.	.	PUNCT
bracis-19057	153	1	4	4	NUM
bracis-19057	153	2	tests	test	NOUN
bracis-19057	153	3	performed	perform	VERB
bracis-19057	153	4	on	on	ADP
bracis-19057	153	5	 	 	SPACE
bracis-19057	153	6	benchmark	benchmark	NOUN
bracis-19057	153	7	datasets	dataset	NOUN
bracis-19057	153	8	in	in	ADP
bracis-19057	153	9	table	table	NOUN
bracis-19057	153	10	 	 	SPACE
bracis-19057	153	11	4	4	NUM
bracis-19057	153	12	,	,	PUNCT
bracis-19057	153	13	we	we	PRON
bracis-19057	153	14	present	present	VERB
bracis-19057	153	15	the	the	DET
bracis-19057	153	16	obtained	obtain	VERB
bracis-19057	153	17	results	result	NOUN
bracis-19057	153	18	,	,	PUNCT
bracis-19057	153	19	in	in	ADP
bracis-19057	153	20	terms	term	NOUN
bracis-19057	153	21	of	of	ADP
bracis-19057	153	22	average	average	ADJ
bracis-19057	153	23	accuracy	accuracy	NOUN
bracis-19057	153	24	,	,	PUNCT
bracis-19057	153	25	from	from	ADP
bracis-19057	153	26	the	the	DET
bracis-19057	153	27	application	application	NOUN
bracis-19057	153	28	of	of	ADP
bracis-19057	153	29	the	the	DET
bracis-19057	153	30	proposed	propose	VERB
bracis-19057	153	31	mnbhl	mnbhl	NOUN
bracis-19057	153	32	model	model	NOUN
bracis-19057	153	33	to	to	ADP
bracis-19057	153	34	the	the	DET
bracis-19057	153	35	benchmark	benchmark	ADJ
bracis-19057	153	36	datasets	dataset	NOUN
bracis-19057	153	37	,	,	PUNCT
bracis-19057	153	38	as	as	ADV
bracis-19057	153	39	well	well	ADV
bracis-19057	153	40	as	as	ADP
bracis-19057	153	41	the	the	DET
bracis-19057	153	42	comparison	comparison	NOUN
bracis-19057	153	43	with	with	ADP
bracis-19057	153	44	the	the	DET
bracis-19057	153	45	performances	performance	NOUN
bracis-19057	153	46	achieved	achieve	VERB
bracis-19057	153	47	by	by	ADP
bracis-19057	153	48	traditional	traditional	ADJ
bracis-19057	153	49	models	model	NOUN
bracis-19057	153	50	.	.	PUNCT
bracis-19057	154	1	these	these	DET
bracis-19057	154	2	results	result	NOUN
bracis-19057	154	3	indicate	indicate	VERB
bracis-19057	154	4	that	that	SCONJ
bracis-19057	154	5	the	the	DET
bracis-19057	154	6	model	model	NOUN
bracis-19057	154	7	’s	’s	PART
bracis-19057	154	8	overall	overall	ADJ
bracis-19057	154	9	performance	performance	NOUN
bracis-19057	154	10	is	be	AUX
bracis-19057	154	11	competitive	competitive	ADJ
bracis-19057	154	12	,	,	PUNCT
bracis-19057	154	13	being	be	AUX
bracis-19057	154	14	ranked	rank	VERB
bracis-19057	154	15	as	as	ADP
bracis-19057	154	16	second	second	ADJ
bracis-19057	154	17	one	one	NUM
bracis-19057	154	18	when	when	SCONJ
bracis-19057	154	19	compared	compare	VERB
bracis-19057	154	20	to	to	ADP
bracis-19057	154	21	traditional	traditional	ADJ
bracis-19057	154	22	techniques	technique	NOUN
bracis-19057	154	23	,	,	PUNCT
bracis-19057	154	24	in	in	ADP
bracis-19057	154	25	the	the	DET
bracis-19057	154	26	average	average	ADJ
bracis-19057	154	27	rank	rank	NOUN
bracis-19057	154	28	.	.	PUNCT
bracis-19057	155	1	we	we	PRON
bracis-19057	155	2	highlight	highlight	VERB
bracis-19057	155	3	the	the	DET
bracis-19057	155	4	good	good	ADJ
bracis-19057	155	5	performance	performance	NOUN
bracis-19057	155	6	achieved	achieve	VERB
bracis-19057	155	7	on	on	ADP
bracis-19057	155	8	the	the	DET
bracis-19057	155	9	moons_00	moons_00	PROPN
bracis-19057	155	10	and	and	CCONJ
bracis-19057	155	11	moons_02	moons_02	PROPN
bracis-19057	155	12	datasets	dataset	NOUN
bracis-19057	155	13	,	,	PUNCT
bracis-19057	155	14	in	in	ADP
bracis-19057	155	15	which	which	PRON
bracis-19057	155	16	it	it	PRON
bracis-19057	155	17	was	be	AUX
bracis-19057	155	18	the	the	DET
bracis-19057	155	19	only	only	ADJ
bracis-19057	155	20	model	model	NOUN
bracis-19057	155	21	that	that	PRON
bracis-19057	155	22	obtained	obtain	VERB
bracis-19057	155	23	an	an	DET
bracis-19057	155	24	100	100	NUM
bracis-19057	155	25	%	%	NOUN
bracis-19057	155	26	accuracy	accuracy	NOUN
bracis-19057	155	27	in	in	ADP
bracis-19057	155	28	all	all	DET
bracis-19057	155	29	20	20	NUM
bracis-19057	155	30	classification	classification	NOUN
bracis-19057	155	31	tasks	task	NOUN
bracis-19057	155	32	processed	process	VERB
bracis-19057	155	33	.	.	PUNCT
bracis-19057	156	1	this	this	DET
bracis-19057	156	2	result	result	NOUN
bracis-19057	156	3	,	,	PUNCT
bracis-19057	156	4	in	in	ADP
bracis-19057	156	5	particular	particular	ADJ
bracis-19057	156	6	,	,	PUNCT
bracis-19057	156	7	is	be	AUX
bracis-19057	156	8	a	a	DET
bracis-19057	156	9	strong	strong	ADJ
bracis-19057	156	10	sign	sign	NOUN
bracis-19057	156	11	that	that	SCONJ
bracis-19057	156	12	the	the	DET
bracis-19057	156	13	model	model	NOUN
bracis-19057	156	14	is	be	AUX
bracis-19057	156	15	able	able	ADJ
bracis-19057	156	16	to	to	PART
bracis-19057	156	17	correctly	correctly	ADV
bracis-19057	156	18	capture	capture	VERB
bracis-19057	156	19	the	the	DET
bracis-19057	156	20	topological	topological	ADJ
bracis-19057	156	21	pattern	pattern	NOUN
bracis-19057	156	22	present	present	ADJ
bracis-19057	156	23	in	in	ADP
bracis-19057	156	24	these	these	DET
bracis-19057	156	25	two	two	NUM
bracis-19057	156	26	datasets	dataset	NOUN
bracis-19057	156	27	,	,	PUNCT
bracis-19057	156	28	as	as	SCONJ
bracis-19057	156	29	expected	expect	VERB
bracis-19057	156	30	in	in	ADP
bracis-19057	156	31	high	high	ADJ
bracis-19057	156	32	level	level	NOUN
bracis-19057	156	33	techniques	technique	NOUN
bracis-19057	156	34	.	.	PUNCT
bracis-19057	157	1	observing	observe	VERB
bracis-19057	157	2	the	the	DET
bracis-19057	157	3	running	running	ADJ
bracis-19057	157	4	times	time	NOUN
bracis-19057	157	5	of	of	ADP
bracis-19057	157	6	all	all	DET
bracis-19057	157	7	considered	consider	VERB
bracis-19057	157	8	models	model	NOUN
bracis-19057	157	9	,	,	PUNCT
bracis-19057	157	10	we	we	PRON
bracis-19057	157	11	can	can	AUX
bracis-19057	157	12	say	say	VERB
bracis-19057	157	13	that	that	SCONJ
bracis-19057	157	14	the	the	DET
bracis-19057	157	15	mnbhl	mnbhl	NOUN
bracis-19057	157	16	is	be	AUX
bracis-19057	157	17	quite	quite	ADV
bracis-19057	157	18	competitive	competitive	ADJ
bracis-19057	157	19	on	on	ADP
bracis-19057	157	20	that	that	DET
bracis-19057	157	21	aspect	aspect	NOUN
bracis-19057	157	22	as	as	ADV
bracis-19057	157	23	well	well	ADV
bracis-19057	157	24	.	.	PUNCT
bracis-19057	158	1	table	table	NOUN
bracis-19057	158	2	4	4	NUM
bracis-19057	158	3	.	.	PUNCT
bracis-19057	159	1	experimental	experimental	ADJ
bracis-19057	159	2	results	result	NOUN
bracis-19057	159	3	:	:	PUNCT
bracis-19057	159	4	average	average	ADJ
bracis-19057	159	5	accuracy	accuracy	NOUN
bracis-19057	159	6	rates	rate	NOUN
bracis-19057	159	7	(	(	PUNCT
bracis-19057	159	8	%	%	INTJ
bracis-19057	159	9	)	)	PUNCT
bracis-19057	159	10	obtained	obtain	VERB
bracis-19057	159	11	by	by	ADP
bracis-19057	159	12	the	the	DET
bracis-19057	159	13	following	follow	VERB
bracis-19057	159	14	models	model	NOUN
bracis-19057	159	15	,	,	PUNCT
bracis-19057	159	16	in	in	ADP
bracis-19057	159	17	that	that	DET
bracis-19057	159	18	order	order	NOUN
bracis-19057	159	19	:	:	PUNCT
bracis-19057	159	20	mnbhl	mnbhl	NOUN
bracis-19057	159	21	,	,	PUNCT
bracis-19057	159	22	adaboost	adaboost	ADV
bracis-19057	159	23	,	,	PUNCT
bracis-19057	159	24	bagging	bagging	NOUN
bracis-19057	159	25	of	of	ADP
bracis-19057	159	26	mlp	mlp	NOUN
bracis-19057	159	27	,	,	PUNCT
bracis-19057	159	28	decision	decision	NOUN
bracis-19057	159	29	tree	tree	NOUN
bracis-19057	159	30	,	,	PUNCT
bracis-19057	159	31	logistic	logistic	ADJ
bracis-19057	159	32	regression	regression	NOUN
bracis-19057	159	33	,	,	PUNCT
bracis-19057	159	34	mlp	mlp	NOUN
bracis-19057	159	35	,	,	PUNCT
bracis-19057	159	36	naive	naive	ADJ
bracis-19057	159	37	-	-	PUNCT
bracis-19057	159	38	bayes	bayes	NOUN
bracis-19057	159	39	,	,	PUNCT
bracis-19057	159	40	random	random	ADJ
bracis-19057	159	41	forest	forest	NOUN
bracis-19057	159	42	and	and	CCONJ
bracis-19057	159	43	svm	svm	PROPN
bracis-19057	159	44	.	.	PUNCT
bracis-19057	160	1	the	the	DET
bracis-19057	160	2	values	value	NOUN
bracis-19057	160	3	between	between	ADP
bracis-19057	160	4	parenthesis	parenthesis	NOUN
bracis-19057	160	5	indicate	indicate	VERB
bracis-19057	160	6	the	the	DET
bracis-19057	160	7	rank	rank	NOUN
bracis-19057	160	8	achieved	achieve	VERB
bracis-19057	160	9	and	and	CCONJ
bracis-19057	160	10	the	the	DET
bracis-19057	160	11	average	average	ADJ
bracis-19057	160	12	running	running	NOUN
bracis-19057	160	13	time	time	NOUN
bracis-19057	160	14	(	(	PUNCT
bracis-19057	160	15	in	in	ADP
bracis-19057	160	16	seconds	second	NOUN
bracis-19057	160	17	)	)	PUNCT
bracis-19057	160	18	,	,	PUNCT
bracis-19057	160	19	respectively	respectively	ADV
bracis-19057	160	20	,	,	PUNCT
bracis-19057	160	21	including	include	VERB
bracis-19057	160	22	the	the	DET
bracis-19057	160	23	training	training	NOUN
bracis-19057	160	24	and	and	CCONJ
bracis-19057	160	25	testing	testing	NOUN
bracis-19057	160	26	phases	phase	NOUN
bracis-19057	160	27	,	,	PUNCT
bracis-19057	160	28	on	on	ADP
bracis-19057	160	29	each	each	DET
bracis-19057	160	30	dataset.full	dataset.full	PROPN
bracis-19057	160	31	size	size	NOUN
bracis-19057	160	32	table	table	NOUN
bracis-19057	160	33	fig	fig	NOUN
bracis-19057	160	34	.	.	PUNCT
bracis-19057	161	1	1	1	X
bracis-19057	161	2	.	.	X
bracis-19057	161	3	effect	effect	NOUN
bracis-19057	161	4	of	of	ADP
bracis-19057	161	5	the	the	DET
bracis-19057	161	6	network	network	NOUN
bracis-19057	161	7	reduction	reduction	NOUN
bracis-19057	161	8	option	option	NOUN
bracis-19057	161	9	on	on	ADP
bracis-19057	161	10	the	the	DET
bracis-19057	161	11	average	average	ADJ
bracis-19057	161	12	accuracy	accuracy	NOUN
bracis-19057	161	13	and	and	CCONJ
bracis-19057	161	14	processing	processing	NOUN
bracis-19057	161	15	time	time	NOUN
bracis-19057	161	16	,	,	PUNCT
bracis-19057	161	17	on	on	ADP
bracis-19057	161	18	two	two	NUM
bracis-19057	161	19	benchmark	benchmark	ADJ
bracis-19057	161	20	classification	classification	NOUN
bracis-19057	161	21	datasets	dataset	NOUN
bracis-19057	161	22	.	.	PUNCT
bracis-19057	162	1	each	each	DET
bracis-19057	162	2	dataset	dataset	NOUN
bracis-19057	162	3	is	be	AUX
bracis-19057	162	4	processed	process	VERB
bracis-19057	162	5	10	10	NUM
bracis-19057	162	6	times	time	NOUN
bracis-19057	162	7	for	for	ADP
bracis-19057	162	8	obtaining	obtain	VERB
bracis-19057	162	9	these	these	DET
bracis-19057	162	10	values	value	NOUN
bracis-19057	162	11	,	,	PUNCT
bracis-19057	162	12	with	with	ADP
bracis-19057	162	13	a	a	DET
bracis-19057	162	14	different	different	ADJ
bracis-19057	162	15	random	random	ADJ
bracis-19057	162	16	seed	seed	NOUN
bracis-19057	162	17	.	.	PUNCT
bracis-19057	163	1	full	full	ADJ
bracis-19057	163	2	size	size	NOUN
bracis-19057	163	3	image	image	NOUN
bracis-19057	163	4	in	in	ADP
bracis-19057	163	5	fig	fig	NOUN
bracis-19057	163	6	.	.	PUNCT
bracis-19057	163	7	 	 	SPACE
bracis-19057	164	1	1	1	NUM
bracis-19057	164	2	,	,	PUNCT
bracis-19057	164	3	we	we	PRON
bracis-19057	164	4	show	show	VERB
bracis-19057	164	5	the	the	DET
bracis-19057	164	6	effect	effect	NOUN
bracis-19057	164	7	of	of	ADP
bracis-19057	164	8	the	the	DET
bracis-19057	164	9	network	network	NOUN
bracis-19057	164	10	reduction	reduction	NOUN
bracis-19057	164	11	option	option	NOUN
bracis-19057	164	12	on	on	ADP
bracis-19057	164	13	the	the	DET
bracis-19057	164	14	mnbhl	mnbhl	NOUN
bracis-19057	164	15	model	model	NOUN
bracis-19057	164	16	performance	performance	NOUN
bracis-19057	164	17	,	,	PUNCT
bracis-19057	164	18	in	in	ADP
bracis-19057	164	19	terms	term	NOUN
bracis-19057	164	20	of	of	ADP
bracis-19057	164	21	average	average	ADJ
bracis-19057	164	22	accuracy	accuracy	NOUN
bracis-19057	164	23	and	and	CCONJ
bracis-19057	164	24	processing	processing	NOUN
bracis-19057	164	25	time	time	NOUN
bracis-19057	164	26	,	,	PUNCT
bracis-19057	164	27	on	on	ADP
bracis-19057	164	28	two	two	NUM
bracis-19057	164	29	benchmark	benchmark	ADJ
bracis-19057	164	30	datasets	dataset	NOUN
bracis-19057	164	31	.	.	PUNCT
bracis-19057	165	1	each	each	DET
bracis-19057	165	2	dataset	dataset	NOUN
bracis-19057	165	3	is	be	AUX
bracis-19057	165	4	processed	process	VERB
bracis-19057	165	5	10	10	NUM
bracis-19057	165	6	times	time	NOUN
bracis-19057	165	7	for	for	ADP
bracis-19057	165	8	obtaining	obtain	VERB
bracis-19057	165	9	these	these	DET
bracis-19057	165	10	values	value	NOUN
bracis-19057	165	11	,	,	PUNCT
bracis-19057	165	12	each	each	DET
bracis-19057	165	13	time	time	NOUN
bracis-19057	165	14	using	use	VERB
bracis-19057	165	15	a	a	DET
bracis-19057	165	16	different	different	ADJ
bracis-19057	165	17	random	random	ADJ
bracis-19057	165	18	seed	seed	NOUN
bracis-19057	165	19	.	.	PUNCT
bracis-19057	166	1	as	as	SCONJ
bracis-19057	166	2	one	one	PRON
bracis-19057	166	3	can	can	AUX
bracis-19057	166	4	note	note	VERB
bracis-19057	166	5	,	,	PUNCT
bracis-19057	166	6	from	from	ADP
bracis-19057	166	7	this	this	DET
bracis-19057	166	8	figure	figure	NOUN
bracis-19057	166	9	,	,	PUNCT
bracis-19057	166	10	when	when	SCONJ
bracis-19057	166	11	the	the	DET
bracis-19057	166	12	network	network	NOUN
bracis-19057	166	13	built	build	VERB
bracis-19057	166	14	for	for	ADP
bracis-19057	166	15	the	the	DET
bracis-19057	166	16	digits	digit	NOUN
bracis-19057	166	17	dataset	dataset	VERB
bracis-19057	166	18	is	be	AUX
bracis-19057	166	19	reduced	reduce	VERB
bracis-19057	166	20	in	in	ADP
bracis-19057	166	21	90	90	NUM
bracis-19057	166	22	%	%	NOUN
bracis-19057	166	23	,	,	PUNCT
bracis-19057	166	24	i.e.	i.e.	X
bracis-19057	166	25	,	,	PUNCT
bracis-19057	166	26	to	to	ADP
bracis-19057	166	27	only	only	ADV
bracis-19057	166	28	10	10	NUM
bracis-19057	166	29	%	%	NOUN
bracis-19057	166	30	of	of	ADP
bracis-19057	166	31	the	the	DET
bracis-19057	166	32	training	training	NOUN
bracis-19057	166	33	data	datum	NOUN
bracis-19057	166	34	,	,	PUNCT
bracis-19057	166	35	the	the	DET
bracis-19057	166	36	average	average	ADJ
bracis-19057	166	37	accuracy	accuracy	NOUN
bracis-19057	166	38	rate	rate	NOUN
bracis-19057	166	39	decreases	decrease	VERB
bracis-19057	166	40	from	from	ADP
bracis-19057	166	41	around	around	ADP
bracis-19057	166	42	0.955	0.955	NUM
bracis-19057	166	43	to	to	ADP
bracis-19057	166	44	around	around	ADP
bracis-19057	166	45	0.905	0.905	NUM
bracis-19057	166	46	,	,	PUNCT
bracis-19057	166	47	thus	thus	ADV
bracis-19057	166	48	with	with	ADP
bracis-19057	166	49	a	a	DET
bracis-19057	166	50	negative	negative	ADJ
bracis-19057	166	51	variation	variation	NOUN
bracis-19057	166	52	of	of	ADP
bracis-19057	166	53	about	about	ADV
bracis-19057	166	54	5	5	NUM
bracis-19057	166	55	%	%	NOUN
bracis-19057	166	56	,	,	PUNCT
bracis-19057	166	57	while	while	SCONJ
bracis-19057	166	58	the	the	DET
bracis-19057	166	59	average	average	ADJ
bracis-19057	166	60	processing	processing	NOUN
bracis-19057	166	61	time	time	NOUN
bracis-19057	166	62	decreases	decrease	VERB
bracis-19057	166	63	from	from	ADP
bracis-19057	166	64	55	55	NUM
bracis-19057	166	65	 	 	SPACE
bracis-19057	166	66	s	s	NOUN
bracis-19057	166	67	to	to	ADP
bracis-19057	166	68	only	only	ADV
bracis-19057	166	69	2	2	NUM
bracis-19057	166	70	 	 	SPACE
bracis-19057	166	71	s	s	NOUN
bracis-19057	166	72	,	,	PUNCT
bracis-19057	166	73	thus	thus	ADV
bracis-19057	166	74	with	with	ADP
bracis-19057	166	75	a	a	DET
bracis-19057	166	76	negative	negative	ADJ
bracis-19057	166	77	variation	variation	NOUN
bracis-19057	166	78	of	of	ADP
bracis-19057	166	79	about	about	ADV
bracis-19057	166	80	96	96	NUM
bracis-19057	166	81	%	%	NOUN
bracis-19057	166	82	.	.	PUNCT
bracis-19057	167	1	as	as	ADP
bracis-19057	167	2	for	for	ADP
bracis-19057	167	3	the	the	DET
bracis-19057	167	4	wine	wine	NOUN
bracis-19057	167	5	dataset	dataset	NOUN
bracis-19057	167	6	,	,	PUNCT
bracis-19057	167	7	there	there	PRON
bracis-19057	167	8	is	be	VERB
bracis-19057	167	9	an	an	DET
bracis-19057	167	10	initial	initial	ADJ
bracis-19057	167	11	improvement	improvement	NOUN
bracis-19057	167	12	in	in	ADP
bracis-19057	167	13	the	the	DET
bracis-19057	167	14	accuracy	accuracy	NOUN
bracis-19057	167	15	,	,	PUNCT
bracis-19057	167	16	when	when	SCONJ
bracis-19057	167	17	using	use	VERB
bracis-19057	167	18	a	a	DET
bracis-19057	167	19	30	30	NUM
bracis-19057	167	20	%	%	NOUN
bracis-19057	167	21	reduction	reduction	NOUN
bracis-19057	167	22	option	option	NOUN
bracis-19057	167	23	,	,	PUNCT
bracis-19057	167	24	which	which	PRON
bracis-19057	167	25	is	be	AUX
bracis-19057	167	26	somewhat	somewhat	ADV
bracis-19057	167	27	surprising	surprising	ADJ
bracis-19057	167	28	,	,	PUNCT
bracis-19057	167	29	with	with	ADP
bracis-19057	167	30	a	a	DET
bracis-19057	167	31	later	later	ADJ
bracis-19057	167	32	decrease	decrease	NOUN
bracis-19057	167	33	,	,	PUNCT
bracis-19057	167	34	as	as	ADP
bracis-19057	167	35	the	the	DET
bracis-19057	167	36	reduction	reduction	NOUN
bracis-19057	167	37	increases	increase	NOUN
bracis-19057	167	38	.	.	PUNCT
bracis-19057	168	1	overall	overall	ADJ
bracis-19057	168	2	,	,	PUNCT
bracis-19057	168	3	on	on	ADP
bracis-19057	168	4	the	the	DET
bracis-19057	168	5	two	two	NUM
bracis-19057	168	6	datasets	dataset	NOUN
bracis-19057	168	7	considered	consider	VERB
bracis-19057	168	8	,	,	PUNCT
bracis-19057	168	9	a	a	DET
bracis-19057	168	10	90	90	NUM
bracis-19057	168	11	%	%	NOUN
bracis-19057	168	12	network	network	NOUN
bracis-19057	168	13	reduction	reduction	NOUN
bracis-19057	168	14	option	option	NOUN
bracis-19057	168	15	has	have	VERB
bracis-19057	168	16	a	a	DET
bracis-19057	168	17	negative	negative	ADJ
bracis-19057	168	18	impact	impact	NOUN
bracis-19057	168	19	of	of	ADP
bracis-19057	168	20	around	around	ADP
bracis-19057	168	21	4	4	NUM
bracis-19057	168	22	%	%	NOUN
bracis-19057	168	23	on	on	ADP
bracis-19057	168	24	the	the	DET
bracis-19057	168	25	average	average	ADJ
bracis-19057	168	26	accuracy	accuracy	NOUN
bracis-19057	168	27	rate	rate	NOUN
bracis-19057	168	28	and	and	CCONJ
bracis-19057	168	29	of	of	ADP
bracis-19057	168	30	around	around	ADP
bracis-19057	168	31	80	80	NUM
bracis-19057	168	32	%	%	NOUN
bracis-19057	168	33	on	on	ADP
bracis-19057	168	34	the	the	DET
bracis-19057	168	35	average	average	ADJ
bracis-19057	168	36	running	running	NOUN
bracis-19057	168	37	time	time	NOUN
bracis-19057	168	38	.	.	PUNCT
bracis-19057	169	1	therefore	therefore	ADV
bracis-19057	169	2	,	,	PUNCT
bracis-19057	169	3	this	this	DET
bracis-19057	169	4	resource	resource	NOUN
bracis-19057	169	5	can	can	AUX
bracis-19057	169	6	be	be	AUX
bracis-19057	169	7	used	use	VERB
bracis-19057	169	8	in	in	ADP
bracis-19057	169	9	situations	situation	NOUN
bracis-19057	169	10	when	when	SCONJ
bracis-19057	169	11	one	one	PRON
bracis-19057	169	12	needs	need	VERB
bracis-19057	169	13	to	to	PART
bracis-19057	169	14	process	process	VERB
bracis-19057	169	15	larger	large	ADJ
bracis-19057	169	16	datasets	dataset	NOUN
bracis-19057	169	17	using	use	VERB
bracis-19057	169	18	a	a	DET
bracis-19057	169	19	network	network	NOUN
bracis-19057	169	20	-	-	PUNCT
bracis-19057	169	21	based	base	VERB
bracis-19057	169	22	approach	approach	NOUN
bracis-19057	169	23	and	and	CCONJ
bracis-19057	169	24	needs	need	VERB
bracis-19057	169	25	to	to	PART
bracis-19057	169	26	adapt	adapt	VERB
bracis-19057	169	27	the	the	DET
bracis-19057	169	28	problem	problem	NOUN
bracis-19057	169	29	to	to	ADP
bracis-19057	169	30	locally	locally	ADV
bracis-19057	169	31	available	available	ADJ
bracis-19057	169	32	computational	computational	ADJ
bracis-19057	169	33	resources	resource	NOUN
bracis-19057	169	34	,	,	PUNCT
bracis-19057	169	35	both	both	CCONJ
bracis-19057	169	36	in	in	ADP
bracis-19057	169	37	terms	term	NOUN
bracis-19057	169	38	of	of	ADP
bracis-19057	169	39	memory	memory	NOUN
bracis-19057	169	40	and	and	CCONJ
bracis-19057	169	41	processing	processing	NOUN
bracis-19057	169	42	capacity	capacity	NOUN
bracis-19057	169	43	,	,	PUNCT
bracis-19057	169	44	as	as	SCONJ
bracis-19057	169	45	it	it	PRON
bracis-19057	169	46	is	be	AUX
bracis-19057	169	47	the	the	DET
bracis-19057	169	48	case	case	NOUN
bracis-19057	169	49	in	in	ADP
bracis-19057	169	50	this	this	DET
bracis-19057	169	51	study	study	NOUN
bracis-19057	169	52	.	.	PUNCT
bracis-19057	170	1	5	5	NUM
bracis-19057	170	2	experimental	experimental	ADJ
bracis-19057	170	3	results	result	NOUN
bracis-19057	170	4	we	we	PRON
bracis-19057	170	5	start	start	VERB
bracis-19057	170	6	this	this	DET
bracis-19057	170	7	section	section	NOUN
bracis-19057	170	8	by	by	ADP
bracis-19057	170	9	showing	show	VERB
bracis-19057	170	10	an	an	DET
bracis-19057	170	11	example	example	NOUN
bracis-19057	170	12	of	of	ADP
bracis-19057	170	13	different	different	ADJ
bracis-19057	170	14	processing	processing	NOUN
bracis-19057	170	15	stages	stage	NOUN
bracis-19057	170	16	from	from	ADP
bracis-19057	170	17	the	the	DET
bracis-19057	170	18	proposed	propose	VERB
bracis-19057	170	19	technique	technique	NOUN
bracis-19057	170	20	,	,	PUNCT
bracis-19057	170	21	when	when	SCONJ
bracis-19057	170	22	applied	apply	VERB
bracis-19057	170	23	to	to	PART
bracis-19057	170	24	detect	detect	VERB
bracis-19057	170	25	respiratory	respiratory	ADJ
bracis-19057	170	26	insufficiency	insufficiency	NOUN
bracis-19057	170	27	signs	sign	NOUN
bracis-19057	170	28	.	.	PUNCT
bracis-19057	171	1	in	in	ADP
bracis-19057	171	2	fig	fig	NOUN
bracis-19057	171	3	.	.	PUNCT
bracis-19057	171	4	 	 	SPACE
bracis-19057	171	5	2(a	2(a	NUM
bracis-19057	171	6	)	)	PUNCT
bracis-19057	171	7	,	,	PUNCT
bracis-19057	171	8	there	there	PRON
bracis-19057	171	9	is	be	VERB
bracis-19057	171	10	the	the	DET
bracis-19057	171	11	initial	initial	ADJ
bracis-19057	171	12	network	network	NOUN
bracis-19057	171	13	built	build	VERB
bracis-19057	171	14	by	by	ADP
bracis-19057	171	15	the	the	DET
bracis-19057	171	16	model	model	NOUN
bracis-19057	171	17	,	,	PUNCT
bracis-19057	171	18	i.e.	i.e.	X
bracis-19057	171	19	,	,	PUNCT
bracis-19057	171	20	the	the	DET
bracis-19057	171	21	network	network	NOUN
bracis-19057	171	22	formed	form	VERB
bracis-19057	171	23	by	by	ADP
bracis-19057	171	24	all	all	DET
bracis-19057	171	25	training	training	NOUN
bracis-19057	171	26	data	datum	NOUN
bracis-19057	171	27	instances	instance	NOUN
bracis-19057	171	28	.	.	PUNCT
bracis-19057	172	1	this	this	DET
bracis-19057	172	2	network	network	NOUN
bracis-19057	172	3	has	have	VERB
bracis-19057	172	4	2.236	2.236	NUM
bracis-19057	172	5	nodes	node	NOUN
bracis-19057	172	6	in	in	ADP
bracis-19057	172	7	 	 	SPACE
bracis-19057	172	8	total	total	NOUN
bracis-19057	172	9	(	(	PUNCT
bracis-19057	172	10	representing	represent	VERB
bracis-19057	172	11	the	the	DET
bracis-19057	172	12	patients	patient	NOUN
bracis-19057	172	13	)	)	PUNCT
bracis-19057	172	14	,	,	PUNCT
bracis-19057	172	15	and	and	CCONJ
bracis-19057	172	16	two	two	NUM
bracis-19057	172	17	classes	class	NOUN
bracis-19057	172	18	(	(	PUNCT
bracis-19057	172	19	with	with	ADP
bracis-19057	172	20	and	and	CCONJ
bracis-19057	172	21	without	without	ADP
bracis-19057	172	22	insufficiency	insufficiency	NOUN
bracis-19057	172	23	signs	sign	NOUN
bracis-19057	172	24	)	)	PUNCT
bracis-19057	172	25	,	,	PUNCT
bracis-19057	172	26	denoted	denote	VERB
bracis-19057	172	27	by	by	ADP
bracis-19057	172	28	the	the	DET
bracis-19057	172	29	orange	orange	ADJ
bracis-19057	172	30	and	and	CCONJ
bracis-19057	172	31	blue	blue	ADJ
bracis-19057	172	32	colors	color	NOUN
bracis-19057	172	33	.	.	PUNCT
bracis-19057	173	1	in	in	ADP
bracis-19057	173	2	fig	fig	NOUN
bracis-19057	173	3	.	.	PUNCT
bracis-19057	173	4	 	 	SPACE
bracis-19057	173	5	2(b	2(b	NUM
bracis-19057	173	6	)	)	PUNCT
bracis-19057	173	7	,	,	PUNCT
bracis-19057	173	8	we	we	PRON
bracis-19057	173	9	have	have	VERB
bracis-19057	173	10	the	the	DET
bracis-19057	173	11	reduced	reduce	VERB
bracis-19057	173	12	version	version	NOUN
bracis-19057	173	13	of	of	ADP
bracis-19057	173	14	this	this	DET
bracis-19057	173	15	network	network	NOUN
bracis-19057	173	16	,	,	PUNCT
bracis-19057	173	17	with	with	ADP
bracis-19057	173	18	only	only	ADV
bracis-19057	173	19	the	the	DET
bracis-19057	173	20	10	10	NUM
bracis-19057	173	21	%	%	NOUN
bracis-19057	173	22	of	of	ADP
bracis-19057	173	23	nodes	node	NOUN
bracis-19057	173	24	(	(	PUNCT
bracis-19057	173	25	223	223	NUM
bracis-19057	173	26	in	in	ADP
bracis-19057	173	27	 	 	SPACE
bracis-19057	173	28	total	total	NOUN
bracis-19057	173	29	)	)	PUNCT
bracis-19057	173	30	with	with	ADP
bracis-19057	173	31	the	the	DET
bracis-19057	173	32	highest	high	ADJ
bracis-19057	173	33	betweenness	betweenness	ADJ
bracis-19057	173	34	values	value	NOUN
bracis-19057	173	35	.	.	PUNCT
bracis-19057	174	1	in	in	ADP
bracis-19057	174	2	this	this	DET
bracis-19057	174	3	example	example	NOUN
bracis-19057	174	4	,	,	PUNCT
bracis-19057	174	5	the	the	DET
bracis-19057	174	6	new	new	ADJ
bracis-19057	174	7	node	node	NOUN
bracis-19057	174	8	’s	’s	PART
bracis-19057	174	9	insertion	insertion	NOUN
bracis-19057	174	10	during	during	ADP
bracis-19057	174	11	the	the	DET
bracis-19057	174	12	classification	classification	NOUN
bracis-19057	174	13	phase	phase	NOUN
bracis-19057	174	14	,	,	PUNCT
bracis-19057	174	15	in	in	ADP
bracis-19057	174	16	fig	fig	NOUN
bracis-19057	174	17	.	.	PUNCT
bracis-19057	174	18	 	 	SPACE
bracis-19057	174	19	2(c	2(c	NUM
bracis-19057	174	20	)	)	PUNCT
bracis-19057	174	21	,	,	PUNCT
bracis-19057	174	22	affected	affect	VERB
bracis-19057	174	23	both	both	DET
bracis-19057	174	24	network	network	NOUN
bracis-19057	174	25	components	component	NOUN
bracis-19057	174	26	,	,	PUNCT
bracis-19057	174	27	and	and	CCONJ
bracis-19057	174	28	hence	hence	ADV
bracis-19057	174	29	its	its	PRON
bracis-19057	174	30	label	label	NOUN
bracis-19057	174	31	will	will	AUX
bracis-19057	174	32	be	be	AUX
bracis-19057	174	33	yielded	yield	VERB
bracis-19057	174	34	by	by	ADP
bracis-19057	174	35	the	the	DET
bracis-19057	174	36	class	class	NOUN
bracis-19057	174	37	whose	whose	DET
bracis-19057	174	38	component	component	NOUN
bracis-19057	174	39	is	be	AUX
bracis-19057	174	40	least	least	ADJ
bracis-19057	174	41	impacted	impact	VERB
bracis-19057	174	42	,	,	PUNCT
bracis-19057	174	43	in	in	ADP
bracis-19057	174	44	terms	term	NOUN
bracis-19057	174	45	of	of	ADP
bracis-19057	174	46	betweenness	betweenness	ADJ
bracis-19057	174	47	centrality	centrality	NOUN
bracis-19057	174	48	.	.	PUNCT
bracis-19057	175	1	fig	fig	NOUN
bracis-19057	175	2	.	.	PUNCT
bracis-19057	176	1	2	2	X
bracis-19057	176	2	.	.	X
bracis-19057	176	3	plots	plot	NOUN
bracis-19057	176	4	showing	show	VERB
bracis-19057	176	5	three	three	NUM
bracis-19057	176	6	different	different	ADJ
bracis-19057	176	7	processing	processing	NOUN
bracis-19057	176	8	stages	stage	NOUN
bracis-19057	176	9	from	from	ADP
bracis-19057	176	10	the	the	DET
bracis-19057	176	11	proposed	propose	VERB
bracis-19057	176	12	mnbhl	mnbhl	NOUN
bracis-19057	176	13	technique	technique	NOUN
bracis-19057	176	14	,	,	PUNCT
bracis-19057	176	15	when	when	SCONJ
bracis-19057	176	16	applied	apply	VERB
bracis-19057	176	17	to	to	PART
bracis-19057	176	18	detect	detect	VERB
bracis-19057	176	19	respiratory	respiratory	ADJ
bracis-19057	176	20	insufficiency	insufficiency	NOUN
bracis-19057	176	21	signs	sign	NOUN
bracis-19057	176	22	.	.	PUNCT
bracis-19057	177	1	full	full	ADJ
bracis-19057	177	2	size	size	NOUN
bracis-19057	177	3	image	image	NOUN
bracis-19057	177	4	in	in	ADP
bracis-19057	177	5	table	table	NOUN
bracis-19057	177	6	 	 	SPACE
bracis-19057	177	7	5	5	NUM
bracis-19057	177	8	,	,	PUNCT
bracis-19057	177	9	we	we	PRON
bracis-19057	177	10	display	display	VERB
bracis-19057	177	11	the	the	DET
bracis-19057	177	12	results	result	NOUN
bracis-19057	177	13	obtained	obtain	VERB
bracis-19057	177	14	by	by	ADP
bracis-19057	177	15	all	all	DET
bracis-19057	177	16	classification	classification	NOUN
bracis-19057	177	17	models	model	NOUN
bracis-19057	177	18	considered	consider	VERB
bracis-19057	177	19	,	,	PUNCT
bracis-19057	177	20	in	in	ADP
bracis-19057	177	21	terms	term	NOUN
bracis-19057	177	22	of	of	ADP
bracis-19057	177	23	accuracy	accuracy	NOUN
bracis-19057	177	24	,	,	PUNCT
bracis-19057	177	25	on	on	ADP
bracis-19057	177	26	detecting	detect	VERB
bracis-19057	177	27	early	early	ADJ
bracis-19057	177	28	signs	sign	NOUN
bracis-19057	177	29	of	of	ADP
bracis-19057	177	30	each	each	DET
bracis-19057	177	31	type	type	NOUN
bracis-19057	177	32	of	of	ADP
bracis-19057	177	33	insufficiency	insufficiency	NOUN
bracis-19057	177	34	,	,	PUNCT
bracis-19057	177	35	on	on	ADP
bracis-19057	177	36	the	the	DET
bracis-19057	177	37	built	build	VERB
bracis-19057	177	38	covid-19	covid-19	PROPN
bracis-19057	177	39	dataset	dataset	NOUN
bracis-19057	177	40	.	.	PUNCT
bracis-19057	178	1	overall	overall	ADV
bracis-19057	178	2	,	,	PUNCT
bracis-19057	178	3	all	all	DET
bracis-19057	178	4	models	model	NOUN
bracis-19057	178	5	are	be	AUX
bracis-19057	178	6	more	more	ADV
bracis-19057	178	7	successful	successful	ADJ
bracis-19057	178	8	on	on	ADP
bracis-19057	178	9	detecting	detect	VERB
bracis-19057	178	10	signs	sign	NOUN
bracis-19057	178	11	of	of	ADP
bracis-19057	178	12	respiratory	respiratory	ADJ
bracis-19057	178	13	insufficiency	insufficiency	NOUN
bracis-19057	178	14	over	over	ADP
bracis-19057	178	15	other	other	ADJ
bracis-19057	178	16	types	type	NOUN
bracis-19057	178	17	,	,	PUNCT
bracis-19057	178	18	with	with	ADP
bracis-19057	178	19	most	most	ADJ
bracis-19057	178	20	of	of	ADP
bracis-19057	178	21	them	they	PRON
bracis-19057	178	22	achieving	achieve	VERB
bracis-19057	178	23	an	an	DET
bracis-19057	178	24	accuracy	accuracy	NOUN
bracis-19057	178	25	of	of	ADP
bracis-19057	178	26	more	more	ADJ
bracis-19057	178	27	than	than	ADP
bracis-19057	178	28	70	70	NUM
bracis-19057	178	29	%	%	NOUN
bracis-19057	178	30	on	on	ADP
bracis-19057	178	31	this	this	DET
bracis-19057	178	32	task	task	NOUN
bracis-19057	178	33	,	,	PUNCT
bracis-19057	178	34	while	while	SCONJ
bracis-19057	178	35	the	the	DET
bracis-19057	178	36	most	most	ADV
bracis-19057	178	37	difficult	difficult	ADJ
bracis-19057	178	38	signs	sign	NOUN
bracis-19057	178	39	to	to	PART
bracis-19057	178	40	be	be	AUX
bracis-19057	178	41	detected	detect	VERB
bracis-19057	178	42	are	be	AUX
bracis-19057	178	43	those	those	PRON
bracis-19057	178	44	regarding	regard	VERB
bracis-19057	178	45	the	the	DET
bracis-19057	178	46	hepatic	hepatic	ADJ
bracis-19057	178	47	insufficiency	insufficiency	NOUN
bracis-19057	178	48	.	.	PUNCT
bracis-19057	179	1	the	the	DET
bracis-19057	179	2	proposed	propose	VERB
bracis-19057	179	3	mnbhl	mnbhl	NOUN
bracis-19057	179	4	model	model	NOUN
bracis-19057	179	5	is	be	AUX
bracis-19057	179	6	the	the	DET
bracis-19057	179	7	one	one	NOUN
bracis-19057	179	8	that	that	PRON
bracis-19057	179	9	achieved	achieve	VERB
bracis-19057	179	10	the	the	DET
bracis-19057	179	11	best	good	ADJ
bracis-19057	179	12	performance	performance	NOUN
bracis-19057	179	13	,	,	PUNCT
bracis-19057	179	14	considering	consider	VERB
bracis-19057	179	15	all	all	DET
bracis-19057	179	16	tasks	task	NOUN
bracis-19057	179	17	,	,	PUNCT
bracis-19057	179	18	followed	follow	VERB
bracis-19057	179	19	by	by	ADP
bracis-19057	179	20	logistic	logistic	ADJ
bracis-19057	179	21	regression	regression	NOUN
bracis-19057	179	22	and	and	CCONJ
bracis-19057	179	23	the	the	DET
bracis-19057	179	24	bagmlp	bagmlp	PROPN
bracis-19057	179	25	model	model	NOUN
bracis-19057	179	26	,	,	PUNCT
bracis-19057	179	27	respectively	respectively	ADV
bracis-19057	179	28	.	.	PUNCT
bracis-19057	180	1	it	it	PRON
bracis-19057	180	2	is	be	AUX
bracis-19057	180	3	worth	worth	ADJ
bracis-19057	180	4	noting	note	VERB
bracis-19057	180	5	that	that	SCONJ
bracis-19057	180	6	the	the	DET
bracis-19057	180	7	results	result	NOUN
bracis-19057	180	8	achieved	achieve	VERB
bracis-19057	180	9	by	by	ADP
bracis-19057	180	10	the	the	DET
bracis-19057	180	11	mnbhl	mnbhl	NOUN
bracis-19057	180	12	model	model	NOUN
bracis-19057	180	13	were	be	AUX
bracis-19057	180	14	obtained	obtain	VERB
bracis-19057	180	15	by	by	ADP
bracis-19057	180	16	using	use	VERB
bracis-19057	180	17	a	a	DET
bracis-19057	180	18	network	network	NOUN
bracis-19057	180	19	reduction	reduction	NOUN
bracis-19057	180	20	option	option	NOUN
bracis-19057	180	21	of	of	ADP
bracis-19057	180	22	90	90	NUM
bracis-19057	180	23	%	%	NOUN
bracis-19057	180	24	,	,	PUNCT
bracis-19057	180	25	i.e.	i.e.	X
bracis-19057	180	26	,	,	PUNCT
bracis-19057	180	27	with	with	ADP
bracis-19057	180	28	only	only	ADV
bracis-19057	180	29	10	10	NUM
bracis-19057	180	30	%	%	NOUN
bracis-19057	180	31	of	of	ADP
bracis-19057	180	32	the	the	DET
bracis-19057	180	33	training	training	NOUN
bracis-19057	180	34	data	datum	NOUN
bracis-19057	180	35	being	be	AUX
bracis-19057	180	36	preserved	preserve	VERB
bracis-19057	180	37	for	for	ADP
bracis-19057	180	38	testing	testing	NOUN
bracis-19057	180	39	purposes	purpose	NOUN
bracis-19057	180	40	.	.	PUNCT
bracis-19057	181	1	hence	hence	ADV
bracis-19057	181	2	,	,	PUNCT
bracis-19057	181	3	it	it	PRON
bracis-19057	181	4	is	be	AUX
bracis-19057	181	5	expected	expect	VERB
bracis-19057	181	6	that	that	SCONJ
bracis-19057	181	7	these	these	DET
bracis-19057	181	8	accuracy	accuracy	NOUN
bracis-19057	181	9	rates	rate	NOUN
bracis-19057	181	10	should	should	AUX
bracis-19057	181	11	increase	increase	VERB
bracis-19057	181	12	,	,	PUNCT
bracis-19057	181	13	if	if	SCONJ
bracis-19057	181	14	one	one	PRON
bracis-19057	181	15	can	can	AUX
bracis-19057	181	16	process	process	VERB
bracis-19057	181	17	the	the	DET
bracis-19057	181	18	same	same	ADJ
bracis-19057	181	19	data	datum	NOUN
bracis-19057	181	20	without	without	ADP
bracis-19057	181	21	using	use	VERB
bracis-19057	181	22	the	the	DET
bracis-19057	181	23	network	network	NOUN
bracis-19057	181	24	reduction	reduction	NOUN
bracis-19057	181	25	resource	resource	NOUN
bracis-19057	181	26	.	.	PUNCT
bracis-19057	182	1	table	table	NOUN
bracis-19057	182	2	5	5	NUM
bracis-19057	182	3	.	.	PUNCT
bracis-19057	182	4	average	average	ADJ
bracis-19057	182	5	accuracy	accuracy	NOUN
bracis-19057	182	6	rates	rate	NOUN
bracis-19057	182	7	(	(	PUNCT
bracis-19057	182	8	%	%	INTJ
bracis-19057	182	9	)	)	PUNCT
bracis-19057	182	10	and	and	CCONJ
bracis-19057	182	11	standard	standard	ADJ
bracis-19057	182	12	deviations	deviation	NOUN
bracis-19057	182	13	for	for	ADP
bracis-19057	182	14	each	each	DET
bracis-19057	182	15	insufficiency	insufficiency	NOUN
bracis-19057	182	16	type	type	NOUN
bracis-19057	182	17	,	,	PUNCT
bracis-19057	182	18	obtained	obtain	VERB
bracis-19057	182	19	by	by	ADP
bracis-19057	182	20	each	each	DET
bracis-19057	182	21	classification	classification	NOUN
bracis-19057	182	22	technique	technique	NOUN
bracis-19057	182	23	.	.	PUNCT
bracis-19057	183	1	the	the	DET
bracis-19057	183	2	values	value	NOUN
bracis-19057	183	3	between	between	ADP
bracis-19057	183	4	parenthesis	parenthesis	NOUN
bracis-19057	183	5	indicate	indicate	VERB
bracis-19057	183	6	the	the	DET
bracis-19057	183	7	rank	rank	NOUN
bracis-19057	183	8	achieved	achieve	VERB
bracis-19057	183	9	by	by	ADP
bracis-19057	183	10	each	each	DET
bracis-19057	183	11	technique	technique	NOUN
bracis-19057	183	12	,	,	PUNCT
bracis-19057	183	13	in	in	ADP
bracis-19057	183	14	each	each	DET
bracis-19057	183	15	row.full	row.full	NOUN
bracis-19057	183	16	size	size	NOUN
bracis-19057	183	17	table	table	NOUN
bracis-19057	183	18	fig	fig	NOUN
bracis-19057	183	19	.	.	PUNCT
bracis-19057	184	1	3	3	X
bracis-19057	184	2	.	.	X
bracis-19057	184	3	boxplots	boxplot	NOUN
bracis-19057	184	4	of	of	ADP
bracis-19057	184	5	the	the	DET
bracis-19057	184	6	overall	overall	ADJ
bracis-19057	184	7	performance	performance	NOUN
bracis-19057	184	8	,	,	PUNCT
bracis-19057	184	9	in	in	ADP
bracis-19057	184	10	terms	term	NOUN
bracis-19057	184	11	of	of	ADP
bracis-19057	184	12	accuracy	accuracy	NOUN
bracis-19057	184	13	,	,	PUNCT
bracis-19057	184	14	achieved	achieve	VERB
bracis-19057	184	15	by	by	ADP
bracis-19057	184	16	the	the	DET
bracis-19057	184	17	proposed	propose	VERB
bracis-19057	184	18	model	model	NOUN
bracis-19057	184	19	on	on	ADP
bracis-19057	184	20	detecting	detect	VERB
bracis-19057	184	21	early	early	ADJ
bracis-19057	184	22	signs	sign	NOUN
bracis-19057	184	23	from	from	ADP
bracis-19057	184	24	any	any	DET
bracis-19057	184	25	type	type	NOUN
bracis-19057	184	26	of	of	ADP
bracis-19057	184	27	insufficiency	insufficiency	NOUN
bracis-19057	184	28	in	in	ADP
bracis-19057	184	29	covid-19	covid-19	PROPN
bracis-19057	184	30	patients	patient	NOUN
bracis-19057	184	31	,	,	PUNCT
bracis-19057	184	32	grouped	group	VERB
bracis-19057	184	33	by	by	ADP
bracis-19057	184	34	age	age	NOUN
bracis-19057	184	35	.	.	PUNCT
bracis-19057	185	1	full	full	ADJ
bracis-19057	185	2	size	size	NOUN
bracis-19057	185	3	image	image	NOUN
bracis-19057	185	4	table	table	NOUN
bracis-19057	185	5	6	6	NUM
bracis-19057	185	6	.	.	PUNCT
bracis-19057	185	7	precision	precision	NOUN
bracis-19057	185	8	,	,	PUNCT
bracis-19057	185	9	sensitivity	sensitivity	NOUN
bracis-19057	185	10	and	and	CCONJ
bracis-19057	185	11	f1	f1	NOUN
bracis-19057	185	12	score	score	NOUN
bracis-19057	185	13	achieved	achieve	VERB
bracis-19057	185	14	by	by	ADP
bracis-19057	185	15	each	each	DET
bracis-19057	185	16	model	model	NOUN
bracis-19057	185	17	,	,	PUNCT
bracis-19057	185	18	when	when	SCONJ
bracis-19057	185	19	detecting	detect	VERB
bracis-19057	185	20	signs	sign	NOUN
bracis-19057	185	21	from	from	ADP
bracis-19057	185	22	any	any	DET
bracis-19057	185	23	type	type	NOUN
bracis-19057	185	24	of	of	ADP
bracis-19057	185	25	insufficiency	insufficiency	NOUN
bracis-19057	185	26	in	in	ADP
bracis-19057	185	27	covid-19	covid-19	PROPN
bracis-19057	185	28	patients	patient	NOUN
bracis-19057	185	29	over	over	ADP
bracis-19057	185	30	60	60	NUM
bracis-19057	185	31	years	year	NOUN
bracis-19057	185	32	old.full	old.full	NOUN
bracis-19057	185	33	size	size	NOUN
bracis-19057	185	34	table	table	NOUN
bracis-19057	185	35	given	give	VERB
bracis-19057	185	36	the	the	DET
bracis-19057	185	37	nature	nature	NOUN
bracis-19057	185	38	of	of	ADP
bracis-19057	185	39	the	the	DET
bracis-19057	185	40	covid-19	covid-19	PROPN
bracis-19057	185	41	dataset	dataset	NOUN
bracis-19057	185	42	,	,	PUNCT
bracis-19057	185	43	the	the	DET
bracis-19057	185	44	input	input	NOUN
bracis-19057	185	45	data	datum	NOUN
bracis-19057	185	46	may	may	AUX
bracis-19057	185	47	become	become	VERB
bracis-19057	185	48	more	more	ADV
bracis-19057	185	49	or	or	CCONJ
bracis-19057	185	50	less	less	ADV
bracis-19057	185	51	unbalanced	unbalanced	ADJ
bracis-19057	185	52	in	in	ADP
bracis-19057	185	53	each	each	DET
bracis-19057	185	54	age	age	NOUN
bracis-19057	185	55	group	group	NOUN
bracis-19057	185	56	.	.	PUNCT
bracis-19057	186	1	in	in	ADP
bracis-19057	186	2	this	this	DET
bracis-19057	186	3	sense	sense	NOUN
bracis-19057	186	4	,	,	PUNCT
bracis-19057	186	5	younger	young	ADJ
bracis-19057	186	6	patients	patient	NOUN
bracis-19057	186	7	,	,	PUNCT
bracis-19057	186	8	from	from	ADP
bracis-19057	186	9	age	age	NOUN
bracis-19057	186	10	groups	group	NOUN
bracis-19057	186	11	00–20	00–20	NUM
bracis-19057	186	12	and	and	CCONJ
bracis-19057	186	13	21–40	21–40	NUM
bracis-19057	186	14	years	year	NOUN
bracis-19057	186	15	old	old	ADJ
bracis-19057	186	16	,	,	PUNCT
bracis-19057	186	17	are	be	AUX
bracis-19057	186	18	expected	expect	VERB
bracis-19057	186	19	to	to	PART
bracis-19057	186	20	present	present	VERB
bracis-19057	186	21	a	a	DET
bracis-19057	186	22	lower	low	ADJ
bracis-19057	186	23	incidence	incidence	NOUN
bracis-19057	186	24	of	of	ADP
bracis-19057	186	25	insufficiency	insufficiency	NOUN
bracis-19057	186	26	cases	case	NOUN
bracis-19057	186	27	than	than	ADP
bracis-19057	186	28	older	old	ADJ
bracis-19057	186	29	patients	patient	NOUN
bracis-19057	186	30	,	,	PUNCT
bracis-19057	186	31	from	from	ADP
bracis-19057	186	32	age	age	NOUN
bracis-19057	186	33	groups	group	NOUN
bracis-19057	186	34	60–80	60–80	PROPN
bracis-19057	186	35	and	and	CCONJ
bracis-19057	186	36	80	80	NUM
bracis-19057	186	37	+	+	NUM
bracis-19057	186	38	years	year	NOUN
bracis-19057	186	39	old	old	ADJ
bracis-19057	186	40	(	(	PUNCT
bracis-19057	186	41	see	see	VERB
bracis-19057	186	42	table	table	NOUN
bracis-19057	186	43	 	 	SPACE
bracis-19057	186	44	3	3	NUM
bracis-19057	186	45	)	)	PUNCT
bracis-19057	186	46	.	.	PUNCT
bracis-19057	187	1	for	for	ADP
bracis-19057	187	2	analyzing	analyze	VERB
bracis-19057	187	3	how	how	SCONJ
bracis-19057	187	4	such	such	ADJ
bracis-19057	187	5	differences	difference	NOUN
bracis-19057	187	6	may	may	AUX
bracis-19057	187	7	affect	affect	VERB
bracis-19057	187	8	the	the	DET
bracis-19057	187	9	model	model	NOUN
bracis-19057	187	10	’s	’s	PART
bracis-19057	187	11	performance	performance	NOUN
bracis-19057	187	12	,	,	PUNCT
bracis-19057	187	13	we	we	PRON
bracis-19057	187	14	present	present	VERB
bracis-19057	187	15	,	,	PUNCT
bracis-19057	187	16	in	in	ADP
bracis-19057	187	17	fig	fig	NOUN
bracis-19057	187	18	.	.	PUNCT
bracis-19057	187	19	 	 	SPACE
bracis-19057	188	1	3	3	NUM
bracis-19057	188	2	,	,	PUNCT
bracis-19057	188	3	the	the	DET
bracis-19057	188	4	overall	overall	ADJ
bracis-19057	188	5	accuracy	accuracy	NOUN
bracis-19057	188	6	obtained	obtain	VERB
bracis-19057	188	7	by	by	ADP
bracis-19057	188	8	the	the	DET
bracis-19057	188	9	mnbhl	mnbhl	NOUN
bracis-19057	188	10	model	model	NOUN
bracis-19057	188	11	on	on	ADP
bracis-19057	188	12	detecting	detect	VERB
bracis-19057	188	13	early	early	ADJ
bracis-19057	188	14	signs	sign	NOUN
bracis-19057	188	15	from	from	ADP
bracis-19057	188	16	any	any	DET
bracis-19057	188	17	type	type	NOUN
bracis-19057	188	18	of	of	ADP
bracis-19057	188	19	insufficiency	insufficiency	NOUN
bracis-19057	188	20	,	,	PUNCT
bracis-19057	188	21	on	on	ADP
bracis-19057	188	22	each	each	DET
bracis-19057	188	23	age	age	NOUN
bracis-19057	188	24	group	group	NOUN
bracis-19057	188	25	.	.	PUNCT
bracis-19057	189	1	the	the	DET
bracis-19057	189	2	boxplots	boxplot	NOUN
bracis-19057	189	3	indicate	indicate	VERB
bracis-19057	189	4	that	that	SCONJ
bracis-19057	189	5	the	the	DET
bracis-19057	189	6	model	model	NOUN
bracis-19057	189	7	is	be	AUX
bracis-19057	189	8	able	able	ADJ
bracis-19057	189	9	to	to	PART
bracis-19057	189	10	achieve	achieve	VERB
bracis-19057	189	11	higher	high	ADJ
bracis-19057	189	12	performances	performance	NOUN
bracis-19057	189	13	when	when	SCONJ
bracis-19057	189	14	analyzing	analyze	VERB
bracis-19057	189	15	data	datum	NOUN
bracis-19057	189	16	from	from	ADP
bracis-19057	189	17	older	old	ADJ
bracis-19057	189	18	patients	patient	NOUN
bracis-19057	189	19	,	,	PUNCT
bracis-19057	189	20	reaching	reach	VERB
bracis-19057	189	21	an	an	DET
bracis-19057	189	22	average	average	ADJ
bracis-19057	189	23	accuracy	accuracy	NOUN
bracis-19057	189	24	of	of	ADP
bracis-19057	189	25	more	more	ADJ
bracis-19057	189	26	than	than	ADP
bracis-19057	189	27	90	90	NUM
bracis-19057	189	28	%	%	NOUN
bracis-19057	189	29	for	for	ADP
bracis-19057	189	30	the	the	DET
bracis-19057	189	31	80	80	NUM
bracis-19057	189	32	+	+	NUM
bracis-19057	189	33	years	year	NOUN
bracis-19057	189	34	old	old	ADJ
bracis-19057	189	35	age	age	NOUN
bracis-19057	189	36	group	group	NOUN
bracis-19057	189	37	.	.	PUNCT
bracis-19057	190	1	people	people	NOUN
bracis-19057	190	2	who	who	PRON
bracis-19057	190	3	are	be	AUX
bracis-19057	190	4	older	old	ADJ
bracis-19057	190	5	than	than	ADP
bracis-19057	190	6	60	60	NUM
bracis-19057	190	7	years	year	NOUN
bracis-19057	190	8	are	be	AUX
bracis-19057	190	9	in	in	ADP
bracis-19057	190	10	the	the	DET
bracis-19057	190	11	high	high	ADJ
bracis-19057	190	12	risk	risk	NOUN
bracis-19057	190	13	group	group	NOUN
bracis-19057	190	14	for	for	ADP
bracis-19057	190	15	covid-19	covid-19	PROPN
bracis-19057	190	16	.	.	PUNCT
bracis-19057	191	1	if	if	SCONJ
bracis-19057	191	2	any	any	DET
bracis-19057	191	3	sign	sign	NOUN
bracis-19057	191	4	of	of	ADP
bracis-19057	191	5	insufficiency	insufficiency	NOUN
bracis-19057	191	6	is	be	AUX
bracis-19057	191	7	detected	detect	VERB
bracis-19057	191	8	in	in	ADP
bracis-19057	191	9	patients	patient	NOUN
bracis-19057	191	10	from	from	ADP
bracis-19057	191	11	this	this	DET
bracis-19057	191	12	group	group	NOUN
bracis-19057	191	13	,	,	PUNCT
bracis-19057	191	14	prompt	prompt	ADJ
bracis-19057	191	15	measures	measure	NOUN
bracis-19057	191	16	should	should	AUX
bracis-19057	191	17	be	be	AUX
bracis-19057	191	18	taken	take	VERB
bracis-19057	191	19	by	by	ADP
bracis-19057	191	20	healthcare	healthcare	NOUN
bracis-19057	191	21	professionals	professional	NOUN
bracis-19057	191	22	,	,	PUNCT
bracis-19057	191	23	oftentimes	oftentime	NOUN
bracis-19057	191	24	by	by	ADP
bracis-19057	191	25	making	make	VERB
bracis-19057	191	26	use	use	NOUN
bracis-19057	191	27	of	of	ADP
bracis-19057	191	28	mechanical	mechanical	ADJ
bracis-19057	191	29	ventilation	ventilation	NOUN
bracis-19057	191	30	.	.	PUNCT
bracis-19057	192	1	for	for	ADP
bracis-19057	192	2	this	this	DET
bracis-19057	192	3	reason	reason	NOUN
bracis-19057	192	4	,	,	PUNCT
bracis-19057	192	5	we	we	PRON
bracis-19057	192	6	also	also	ADV
bracis-19057	192	7	evaluate	evaluate	VERB
bracis-19057	192	8	,	,	PUNCT
bracis-19057	192	9	in	in	ADP
bracis-19057	192	10	table	table	NOUN
bracis-19057	192	11	 	 	SPACE
bracis-19057	192	12	6	6	NUM
bracis-19057	192	13	,	,	PUNCT
bracis-19057	192	14	how	how	SCONJ
bracis-19057	192	15	the	the	DET
bracis-19057	192	16	models	model	NOUN
bracis-19057	192	17	perform	perform	VERB
bracis-19057	192	18	,	,	PUNCT
bracis-19057	192	19	in	in	ADP
bracis-19057	192	20	terms	term	NOUN
bracis-19057	192	21	of	of	ADP
bracis-19057	192	22	precision	precision	NOUN
bracis-19057	192	23	,	,	PUNCT
bracis-19057	192	24	sensitivity	sensitivity	NOUN
bracis-19057	192	25	and	and	CCONJ
bracis-19057	192	26	f1	f1	NOUN
bracis-19057	192	27	score	score	NOUN
bracis-19057	192	28	,	,	PUNCT
bracis-19057	192	29	specifically	specifically	ADV
bracis-19057	192	30	on	on	ADP
bracis-19057	192	31	data	datum	NOUN
bracis-19057	192	32	from	from	ADP
bracis-19057	192	33	this	this	DET
bracis-19057	192	34	group	group	NOUN
bracis-19057	192	35	,	,	PUNCT
bracis-19057	192	36	when	when	SCONJ
bracis-19057	192	37	detecting	detect	VERB
bracis-19057	192	38	signs	sign	NOUN
bracis-19057	192	39	from	from	ADP
bracis-19057	192	40	any	any	DET
bracis-19057	192	41	type	type	NOUN
bracis-19057	192	42	of	of	ADP
bracis-19057	192	43	insufficiency	insufficiency	NOUN
bracis-19057	192	44	.	.	PUNCT
bracis-19057	193	1	from	from	ADP
bracis-19057	193	2	this	this	DET
bracis-19057	193	3	table	table	NOUN
bracis-19057	193	4	,	,	PUNCT
bracis-19057	193	5	we	we	PRON
bracis-19057	193	6	see	see	VERB
bracis-19057	193	7	that	that	SCONJ
bracis-19057	193	8	the	the	DET
bracis-19057	193	9	proposed	propose	VERB
bracis-19057	193	10	mnbhl	mnbhl	NOUN
bracis-19057	193	11	model	model	NOUN
bracis-19057	193	12	again	again	ADV
bracis-19057	193	13	obtains	obtain	VERB
bracis-19057	193	14	competitive	competitive	ADJ
bracis-19057	193	15	results	result	NOUN
bracis-19057	193	16	in	in	ADP
bracis-19057	193	17	comparison	comparison	NOUN
bracis-19057	193	18	to	to	ADP
bracis-19057	193	19	classic	classic	ADJ
bracis-19057	193	20	ones	one	NOUN
bracis-19057	193	21	.	.	PUNCT
bracis-19057	194	1	6	6	NUM
bracis-19057	194	2	final	final	ADJ
bracis-19057	194	3	remarks	remark	NOUN
bracis-19057	194	4	in	in	ADP
bracis-19057	194	5	this	this	DET
bracis-19057	194	6	work	work	NOUN
bracis-19057	194	7	,	,	PUNCT
bracis-19057	194	8	we	we	PRON
bracis-19057	194	9	evaluate	evaluate	VERB
bracis-19057	194	10	the	the	DET
bracis-19057	194	11	possibility	possibility	NOUN
bracis-19057	194	12	of	of	ADP
bracis-19057	194	13	predicting	predict	VERB
bracis-19057	194	14	early	early	ADJ
bracis-19057	194	15	signs	sign	NOUN
bracis-19057	194	16	of	of	ADP
bracis-19057	194	17	insufficiency	insufficiency	NOUN
bracis-19057	194	18	in	in	ADP
bracis-19057	194	19	covid-19	covid-19	PROPN
bracis-19057	194	20	patients	patient	NOUN
bracis-19057	194	21	based	base	VERB
bracis-19057	194	22	only	only	ADV
bracis-19057	194	23	on	on	ADP
bracis-19057	194	24	cbc	cbc	PROPN
bracis-19057	194	25	test	test	NOUN
bracis-19057	194	26	results	result	NOUN
bracis-19057	194	27	,	,	PUNCT
bracis-19057	194	28	used	use	VERB
bracis-19057	194	29	as	as	ADP
bracis-19057	194	30	biomarkers	biomarker	NOUN
bracis-19057	194	31	,	,	PUNCT
bracis-19057	194	32	through	through	ADP
bracis-19057	194	33	a	a	DET
bracis-19057	194	34	supervised	supervised	ADJ
bracis-19057	194	35	learning	learning	NOUN
bracis-19057	194	36	approach	approach	NOUN
bracis-19057	194	37	.	.	PUNCT
bracis-19057	195	1	for	for	ADP
bracis-19057	195	2	this	this	DET
bracis-19057	195	3	end	end	NOUN
bracis-19057	195	4	,	,	PUNCT
bracis-19057	195	5	a	a	DET
bracis-19057	195	6	training	training	NOUN
bracis-19057	195	7	dataset	dataset	NOUN
bracis-19057	195	8	has	have	AUX
bracis-19057	195	9	been	be	AUX
bracis-19057	195	10	built	build	VERB
bracis-19057	195	11	,	,	PUNCT
bracis-19057	195	12	from	from	ADP
bracis-19057	195	13	original	original	ADJ
bracis-19057	195	14	data	datum	NOUN
bracis-19057	195	15	of	of	ADP
bracis-19057	195	16	de	de	ADJ
bracis-19057	195	17	-	-	ADJ
bracis-19057	195	18	identified	identify	VERB
bracis-19057	195	19	covid-19	covid-19	PROPN
bracis-19057	195	20	patients	patient	NOUN
bracis-19057	195	21	who	who	PRON
bracis-19057	195	22	received	receive	VERB
bracis-19057	195	23	treatment	treatment	NOUN
bracis-19057	195	24	in	in	ADP
bracis-19057	195	25	one	one	NUM
bracis-19057	195	26	of	of	ADP
bracis-19057	195	27	the	the	DET
bracis-19057	195	28	main	main	ADJ
bracis-19057	195	29	hospitals	hospital	NOUN
bracis-19057	195	30	in	in	ADP
bracis-19057	195	31	brazil	brazil	PROPN
bracis-19057	195	32	.	.	PUNCT
bracis-19057	196	1	additionally	additionally	ADV
bracis-19057	196	2	,	,	PUNCT
bracis-19057	196	3	for	for	ADP
bracis-19057	196	4	processing	process	VERB
bracis-19057	196	5	the	the	DET
bracis-19057	196	6	built	build	VERB
bracis-19057	196	7	dataset	dataset	NOUN
bracis-19057	196	8	,	,	PUNCT
bracis-19057	196	9	we	we	PRON
bracis-19057	196	10	use	use	VERB
bracis-19057	196	11	a	a	DET
bracis-19057	196	12	modified	modify	VERB
bracis-19057	196	13	network	network	NOUN
bracis-19057	196	14	-	-	PUNCT
bracis-19057	196	15	based	base	VERB
bracis-19057	196	16	high	high	ADJ
bracis-19057	196	17	-	-	PUNCT
bracis-19057	196	18	level	level	NOUN
bracis-19057	196	19	classification	classification	NOUN
bracis-19057	196	20	technique	technique	NOUN
bracis-19057	196	21	,	,	PUNCT
bracis-19057	196	22	with	with	ADP
bracis-19057	196	23	novelties	novelty	NOUN
bracis-19057	196	24	including	include	VERB
bracis-19057	196	25	the	the	DET
bracis-19057	196	26	method	method	NOUN
bracis-19057	196	27	used	use	VERB
bracis-19057	196	28	for	for	ADP
bracis-19057	196	29	automating	automate	VERB
bracis-19057	196	30	the	the	DET
bracis-19057	196	31	network	network	NOUN
bracis-19057	196	32	building	building	NOUN
bracis-19057	196	33	parameters	parameter	NOUN
bracis-19057	196	34	,	,	PUNCT
bracis-19057	196	35	the	the	DET
bracis-19057	196	36	measure	measure	NOUN
bracis-19057	196	37	used	use	VERB
bracis-19057	196	38	for	for	ADP
bracis-19057	196	39	capturing	capture	VERB
bracis-19057	196	40	the	the	DET
bracis-19057	196	41	data	datum	NOUN
bracis-19057	196	42	pattern	pattern	NOUN
bracis-19057	196	43	structure	structure	NOUN
bracis-19057	196	44	,	,	PUNCT
bracis-19057	196	45	and	and	CCONJ
bracis-19057	196	46	the	the	DET
bracis-19057	196	47	inclusion	inclusion	NOUN
bracis-19057	196	48	of	of	ADP
bracis-19057	196	49	a	a	DET
bracis-19057	196	50	network	network	NOUN
bracis-19057	196	51	reduction	reduction	NOUN
bracis-19057	196	52	option	option	NOUN
bracis-19057	196	53	,	,	PUNCT
bracis-19057	196	54	to	to	PART
bracis-19057	196	55	facilitate	facilitate	VERB
bracis-19057	196	56	its	its	PRON
bracis-19057	196	57	application	application	NOUN
bracis-19057	196	58	on	on	ADP
bracis-19057	196	59	larger	large	ADJ
bracis-19057	196	60	datasets	dataset	NOUN
bracis-19057	196	61	.	.	PUNCT
bracis-19057	197	1	the	the	DET
bracis-19057	197	2	proposed	propose	VERB
bracis-19057	197	3	technique	technique	NOUN
bracis-19057	197	4	is	be	AUX
bracis-19057	197	5	evaluated	evaluate	VERB
bracis-19057	197	6	by	by	ADP
bracis-19057	197	7	applying	apply	VERB
bracis-19057	197	8	it	it	PRON
bracis-19057	197	9	firstly	firstly	ADV
bracis-19057	197	10	on	on	ADP
bracis-19057	197	11	benchmark	benchmark	ADJ
bracis-19057	197	12	classification	classification	NOUN
bracis-19057	197	13	datasets	dataset	NOUN
bracis-19057	197	14	,	,	PUNCT
bracis-19057	197	15	and	and	CCONJ
bracis-19057	197	16	then	then	ADV
bracis-19057	197	17	on	on	ADP
bracis-19057	197	18	the	the	DET
bracis-19057	197	19	built	build	VERB
bracis-19057	197	20	covid-19	covid-19	PROPN
bracis-19057	197	21	dataset	dataset	NOUN
bracis-19057	197	22	,	,	PUNCT
bracis-19057	197	23	as	as	ADV
bracis-19057	197	24	well	well	ADV
bracis-19057	197	25	as	as	ADP
bracis-19057	197	26	by	by	ADP
bracis-19057	197	27	comparing	compare	VERB
bracis-19057	197	28	its	its	PRON
bracis-19057	197	29	performance	performance	NOUN
bracis-19057	197	30	with	with	ADP
bracis-19057	197	31	those	those	PRON
bracis-19057	197	32	achieved	achieve	VERB
bracis-19057	197	33	by	by	ADP
bracis-19057	197	34	other	other	ADJ
bracis-19057	197	35	traditional	traditional	ADJ
bracis-19057	197	36	techniques	technique	NOUN
bracis-19057	197	37	,	,	PUNCT
bracis-19057	197	38	on	on	ADP
bracis-19057	197	39	the	the	DET
bracis-19057	197	40	same	same	ADJ
bracis-19057	197	41	data	datum	NOUN
bracis-19057	197	42	.	.	PUNCT
bracis-19057	198	1	the	the	DET
bracis-19057	198	2	experimental	experimental	ADJ
bracis-19057	198	3	results	result	NOUN
bracis-19057	198	4	are	be	AUX
bracis-19057	198	5	encouraging	encouraging	ADJ
bracis-19057	198	6	,	,	PUNCT
bracis-19057	198	7	with	with	ADP
bracis-19057	198	8	the	the	DET
bracis-19057	198	9	proposed	propose	VERB
bracis-19057	198	10	technique	technique	NOUN
bracis-19057	198	11	obtaining	obtain	VERB
bracis-19057	198	12	competitive	competitive	ADJ
bracis-19057	198	13	performance	performance	NOUN
bracis-19057	198	14	,	,	PUNCT
bracis-19057	198	15	both	both	CCONJ
bracis-19057	198	16	on	on	ADP
bracis-19057	198	17	the	the	DET
bracis-19057	198	18	benchmark	benchmark	NOUN
bracis-19057	198	19	datasets	dataset	NOUN
bracis-19057	198	20	and	and	CCONJ
bracis-19057	198	21	on	on	ADP
bracis-19057	198	22	the	the	DET
bracis-19057	198	23	built	build	VERB
bracis-19057	198	24	covid-19	covid-19	PROPN
bracis-19057	198	25	dataset	dataset	NOUN
bracis-19057	198	26	.	.	PUNCT
bracis-19057	199	1	moreover	moreover	ADV
bracis-19057	199	2	,	,	PUNCT
bracis-19057	199	3	the	the	DET
bracis-19057	199	4	considered	consider	VERB
bracis-19057	199	5	models	model	NOUN
bracis-19057	199	6	were	be	AUX
bracis-19057	199	7	particularly	particularly	ADV
bracis-19057	199	8	successful	successful	ADJ
bracis-19057	199	9	on	on	ADP
bracis-19057	199	10	data	datum	NOUN
bracis-19057	199	11	regarding	regard	VERB
bracis-19057	199	12	patients	patient	NOUN
bracis-19057	199	13	from	from	ADP
bracis-19057	199	14	the	the	DET
bracis-19057	199	15	risk	risk	NOUN
bracis-19057	199	16	group	group	NOUN
bracis-19057	199	17	,	,	PUNCT
bracis-19057	199	18	who	who	PRON
bracis-19057	199	19	are	be	AUX
bracis-19057	199	20	older	old	ADJ
bracis-19057	199	21	than	than	ADP
bracis-19057	199	22	60	60	NUM
bracis-19057	199	23	years	year	NOUN
bracis-19057	199	24	old	old	ADJ
bracis-19057	199	25	.	.	PUNCT
bracis-19057	200	1	therefore	therefore	ADV
bracis-19057	200	2	,	,	PUNCT
bracis-19057	200	3	we	we	PRON
bracis-19057	200	4	believe	believe	VERB
bracis-19057	200	5	the	the	DET
bracis-19057	200	6	method	method	NOUN
bracis-19057	200	7	proposed	propose	VERB
bracis-19057	200	8	in	in	ADP
bracis-19057	200	9	this	this	DET
bracis-19057	200	10	study	study	NOUN
bracis-19057	200	11	can	can	AUX
bracis-19057	200	12	be	be	AUX
bracis-19057	200	13	potentially	potentially	ADV
bracis-19057	200	14	used	use	VERB
bracis-19057	200	15	as	as	ADP
bracis-19057	200	16	an	an	DET
bracis-19057	200	17	additional	additional	ADJ
bracis-19057	200	18	tool	tool	NOUN
bracis-19057	200	19	in	in	ADP
bracis-19057	200	20	the	the	DET
bracis-19057	200	21	severity	severity	NOUN
bracis-19057	200	22	assessment	assessment	NOUN
bracis-19057	200	23	of	of	ADP
bracis-19057	200	24	covid-19	covid-19	PROPN
bracis-19057	200	25	patients	patient	NOUN
bracis-19057	200	26	who	who	PRON
bracis-19057	200	27	have	have	VERB
bracis-19057	200	28	higher	high	ADJ
bracis-19057	200	29	risk	risk	NOUN
bracis-19057	200	30	of	of	ADP
bracis-19057	200	31	complications	complication	NOUN
bracis-19057	200	32	,	,	PUNCT
bracis-19057	200	33	thus	thus	ADV
bracis-19057	200	34	helping	help	VERB
bracis-19057	200	35	healthcare	healthcare	NOUN
bracis-19057	200	36	professionals	professional	NOUN
bracis-19057	200	37	in	in	ADP
bracis-19057	200	38	this	this	DET
bracis-19057	200	39	activity	activity	NOUN
bracis-19057	200	40	.	.	PUNCT
bracis-19057	201	1	especially	especially	ADV
bracis-19057	201	2	the	the	DET
bracis-19057	201	3	ones	one	NOUN
bracis-19057	201	4	who	who	PRON
bracis-19057	201	5	work	work	VERB
bracis-19057	201	6	in	in	ADP
bracis-19057	201	7	regions	region	NOUN
bracis-19057	201	8	with	with	ADP
bracis-19057	201	9	scarce	scarce	ADJ
bracis-19057	201	10	material	material	NOUN
bracis-19057	201	11	and	and	CCONJ
bracis-19057	201	12	human	human	ADJ
bracis-19057	201	13	resources	resource	NOUN
bracis-19057	201	14	,	,	PUNCT
bracis-19057	201	15	as	as	ADP
bracis-19057	201	16	in	in	ADP
bracis-19057	201	17	some	some	DET
bracis-19057	201	18	places	place	NOUN
bracis-19057	201	19	of	of	ADP
bracis-19057	201	20	brazil	brazil	PROPN
bracis-19057	201	21	.	.	PUNCT
bracis-19057	202	1	as	as	ADP
bracis-19057	202	2	future	future	ADJ
bracis-19057	202	3	research	research	NOUN
bracis-19057	202	4	,	,	PUNCT
bracis-19057	202	5	we	we	PRON
bracis-19057	202	6	plan	plan	VERB
bracis-19057	202	7	to	to	PART
bracis-19057	202	8	explore	explore	VERB
bracis-19057	202	9	the	the	DET
bracis-19057	202	10	possibility	possibility	NOUN
bracis-19057	202	11	of	of	ADP
bracis-19057	202	12	extending	extend	VERB
bracis-19057	202	13	the	the	DET
bracis-19057	202	14	classification	classification	NOUN
bracis-19057	202	15	technique	technique	NOUN
bracis-19057	202	16	by	by	ADP
bracis-19057	202	17	using	use	VERB
bracis-19057	202	18	additional	additional	ADJ
bracis-19057	202	19	centrality	centrality	NOUN
bracis-19057	202	20	measures	measure	NOUN
bracis-19057	202	21	,	,	PUNCT
bracis-19057	202	22	in	in	ADP
bracis-19057	202	23	a	a	DET
bracis-19057	202	24	combined	combine	VERB
bracis-19057	202	25	form	form	NOUN
bracis-19057	202	26	,	,	PUNCT
bracis-19057	202	27	both	both	PRON
bracis-19057	202	28	in	in	ADP
bracis-19057	202	29	the	the	DET
bracis-19057	202	30	network	network	NOUN
bracis-19057	202	31	reduction	reduction	NOUN
bracis-19057	202	32	method	method	NOUN
bracis-19057	202	33	and	and	CCONJ
bracis-19057	202	34	for	for	ADP
bracis-19057	202	35	the	the	DET
bracis-19057	202	36	new	new	ADJ
bracis-19057	202	37	node	node	NOUN
bracis-19057	202	38	’s	’s	PART
bracis-19057	202	39	insertion	insertion	NOUN
bracis-19057	202	40	impact	impact	NOUN
bracis-19057	202	41	evaluation	evaluation	NOUN
bracis-19057	202	42	.	.	PUNCT
bracis-19057	203	1	we	we	PRON
bracis-19057	203	2	also	also	ADV
bracis-19057	203	3	plan	plan	VERB
bracis-19057	203	4	to	to	PART
bracis-19057	203	5	make	make	VERB
bracis-19057	203	6	applications	application	NOUN
bracis-19057	203	7	on	on	ADP
bracis-19057	203	8	larger	large	ADJ
bracis-19057	203	9	datasets	dataset	NOUN
bracis-19057	203	10	,	,	PUNCT
bracis-19057	203	11	such	such	ADJ
bracis-19057	203	12	as	as	ADP
bracis-19057	203	13	x	x	NOUN
bracis-19057	203	14	-	-	NOUN
bracis-19057	203	15	ray	ray	NOUN
bracis-19057	203	16	and	and	CCONJ
bracis-19057	203	17	ct	ct	NUM
bracis-19057	203	18	images	image	NOUN
bracis-19057	203	19	,	,	PUNCT
bracis-19057	203	20	to	to	PART
bracis-19057	203	21	further	far	ADV
bracis-19057	203	22	assess	assess	VERB
bracis-19057	203	23	the	the	DET
bracis-19057	203	24	model	model	NOUN
bracis-19057	203	25	’s	’s	PART
bracis-19057	203	26	robustness	robustness	NOUN
bracis-19057	203	27	on	on	ADP
bracis-19057	203	28	different	different	ADJ
bracis-19057	203	29	type	type	NOUN
bracis-19057	203	30	of	of	ADP
bracis-19057	203	31	data	datum	NOUN
bracis-19057	203	32	.	.	PUNCT
bracis-19057	204	1	references	reference	NOUN
bracis-19057	204	2	anghinoni	anghinoni	PROPN
bracis-19057	204	3	,	,	PUNCT
bracis-19057	204	4	l.	l.	PROPN
bracis-19057	204	5	,	,	PUNCT
bracis-19057	204	6	zhao	zhao	PROPN
bracis-19057	204	7	,	,	PUNCT
bracis-19057	204	8	l.	l.	PROPN
bracis-19057	204	9	,	,	PUNCT
bracis-19057	204	10	ji	ji	PROPN
bracis-19057	204	11	,	,	PUNCT
bracis-19057	204	12	d.	d.	PROPN
bracis-19057	204	13	,	,	PUNCT
bracis-19057	204	14	pan	pan	PROPN
bracis-19057	204	15	,	,	PUNCT
bracis-19057	204	16	h.	h.	PROPN
bracis-19057	204	17	:	:	PUNCT
bracis-19057	204	18	time	time	NOUN
bracis-19057	204	19	series	series	PROPN
bracis-19057	204	20	trend	trend	NOUN
bracis-19057	204	21	detection	detection	NOUN
bracis-19057	204	22	and	and	CCONJ
bracis-19057	204	23	forecasting	forecasting	NOUN
bracis-19057	204	24	using	use	VERB
bracis-19057	204	25	complex	complex	ADJ
bracis-19057	204	26	network	network	NOUN
bracis-19057	204	27	topology	topology	NOUN
bracis-19057	204	28	analysis	analysis	NOUN
bracis-19057	204	29	.	.	PUNCT
bracis-19057	205	1	neural	neural	ADJ
bracis-19057	205	2	netw	netw	NOUN
bracis-19057	205	3	.	.	PUNCT
bracis-19057	206	1	117	117	NUM
bracis-19057	206	2	,	,	PUNCT
bracis-19057	206	3	295–306	295–306	NUM
bracis-19057	206	4	(	(	PUNCT
bracis-19057	206	5	2019	2019	NUM
bracis-19057	206	6	)	)	PUNCT
bracis-19057	206	7	article	article	NOUN
bracis-19057	206	8	  	  	SPACE
bracis-19057	206	9	google	google	PROPN
bracis-19057	206	10	scholar	scholar	NOUN
bracis-19057	206	11	  	  	SPACE
bracis-19057	206	12	beck	beck	PROPN
bracis-19057	206	13	,	,	PUNCT
bracis-19057	206	14	b.r	b.r	PROPN
bracis-19057	206	15	.	.	PROPN
bracis-19057	206	16	,	,	PUNCT
bracis-19057	206	17	shin	shin	PROPN
bracis-19057	206	18	,	,	PUNCT
bracis-19057	206	19	b.	b.	PROPN
bracis-19057	206	20	,	,	PUNCT
bracis-19057	206	21	choi	choi	NOUN
bracis-19057	206	22	,	,	PUNCT
bracis-19057	206	23	y.	y.	PROPN
bracis-19057	206	24	,	,	PUNCT
bracis-19057	206	25	park	park	NOUN
bracis-19057	206	26	,	,	PUNCT
bracis-19057	206	27	s.	s.	PROPN
bracis-19057	206	28	,	,	PUNCT
bracis-19057	206	29	kang	kang	PROPN
bracis-19057	206	30	,	,	PUNCT
bracis-19057	206	31	k.	k.	PROPN
bracis-19057	206	32	:	:	PUNCT
bracis-19057	206	33	predicting	predict	VERB
bracis-19057	206	34	commercially	commercially	ADV
bracis-19057	206	35	available	available	ADJ
bracis-19057	206	36	antiviral	antiviral	ADJ
bracis-19057	206	37	drugs	drug	NOUN
bracis-19057	206	38	that	that	PRON
bracis-19057	206	39	may	may	AUX
bracis-19057	206	40	act	act	VERB
bracis-19057	206	41	on	on	ADP
bracis-19057	206	42	the	the	DET
bracis-19057	206	43	novel	novel	ADJ
bracis-19057	206	44	coronavirus	coronavirus	NOUN
bracis-19057	206	45	(	(	PUNCT
bracis-19057	206	46	sars	sar	NOUN
bracis-19057	206	47	-	-	PUNCT
bracis-19057	206	48	cov-2	cov-2	NOUN
bracis-19057	206	49	)	)	PUNCT
bracis-19057	206	50	through	through	ADP
bracis-19057	206	51	a	a	DET
bracis-19057	206	52	drug	drug	NOUN
bracis-19057	206	53	-	-	PUNCT
bracis-19057	206	54	target	target	NOUN
bracis-19057	206	55	interaction	interaction	NOUN
bracis-19057	206	56	deep	deep	ADJ
bracis-19057	206	57	learning	learning	NOUN
bracis-19057	206	58	model	model	NOUN
bracis-19057	206	59	.	.	PUNCT
bracis-19057	207	1	comput	comput	NOUN
bracis-19057	207	2	.	.	PUNCT
bracis-19057	207	3	struct	struct	NOUN
bracis-19057	207	4	.	.	PUNCT
bracis-19057	208	1	biotechnol	biotechnol	PROPN
bracis-19057	208	2	.	.	PUNCT
bracis-19057	209	1	j.	j.	PROPN
bracis-19057	209	2	18	18	NUM
bracis-19057	209	3	,	,	PUNCT
bracis-19057	209	4	784–790	784–790	NUM
bracis-19057	209	5	(	(	PUNCT
bracis-19057	209	6	2020	2020	NUM
bracis-19057	209	7	)	)	PUNCT
bracis-19057	209	8	article	article	NOUN
bracis-19057	209	9	  	  	SPACE
bracis-19057	209	10	google	google	PROPN
bracis-19057	209	11	scholar	scholar	NOUN
bracis-19057	209	12	  	  	SPACE
bracis-19057	209	13	brandes	brande	NOUN
bracis-19057	209	14	,	,	PUNCT
bracis-19057	209	15	u.	u.	PROPN
bracis-19057	209	16	:	:	PUNCT
bracis-19057	209	17	a	a	DET
bracis-19057	209	18	faster	fast	ADJ
bracis-19057	209	19	algorithm	algorithm	NOUN
bracis-19057	209	20	for	for	ADP
bracis-19057	209	21	betweenness	betweenness	ADJ
bracis-19057	209	22	centrality	centrality	NOUN
bracis-19057	209	23	.	.	PUNCT
bracis-19057	210	1	j.	j.	PROPN
bracis-19057	210	2	math	math	PROPN
bracis-19057	210	3	.	.	PUNCT
bracis-19057	211	1	sociol	sociol	PROPN
bracis-19057	211	2	.	.	PUNCT
bracis-19057	212	1	25(2	25(2	NUM
bracis-19057	212	2	)	)	PUNCT
bracis-19057	212	3	,	,	PUNCT
bracis-19057	212	4	163–177	163–177	NUM
bracis-19057	212	5	(	(	PUNCT
bracis-19057	212	6	2001	2001	NUM
bracis-19057	212	7	)	)	PUNCT
bracis-19057	212	8	article	article	NOUN
bracis-19057	212	9	  	  	SPACE
bracis-19057	212	10	google	google	PROPN
bracis-19057	212	11	scholar	scholar	NOUN
bracis-19057	212	12	  	  	SPACE
bracis-19057	212	13	breiman	breiman	NOUN
bracis-19057	212	14	,	,	PUNCT
bracis-19057	212	15	l.	l.	PROPN
bracis-19057	212	16	:	:	PUNCT
bracis-19057	212	17	bagging	bag	VERB
bracis-19057	212	18	predictors	predictor	NOUN
bracis-19057	212	19	.	.	PUNCT
bracis-19057	213	1	mach	mach	NOUN
bracis-19057	213	2	.	.	PUNCT
bracis-19057	214	1	learn	learn	VERB
bracis-19057	214	2	.	.	PUNCT
bracis-19057	215	1	24(2	24(2	NUM
bracis-19057	215	2	)	)	PUNCT
bracis-19057	215	3	,	,	PUNCT
bracis-19057	215	4	123–140	123–140	NUM
bracis-19057	215	5	(	(	PUNCT
bracis-19057	215	6	1996	1996	NUM
bracis-19057	215	7	)	)	PUNCT
bracis-19057	215	8	math	math	NOUN
bracis-19057	215	9	  	  	SPACE
bracis-19057	215	10	google	google	PROPN
bracis-19057	215	11	scholar	scholar	NOUN
bracis-19057	215	12	  	  	SPACE
bracis-19057	215	13	breiman	breiman	NOUN
bracis-19057	215	14	,	,	PUNCT
bracis-19057	215	15	l.	l.	PROPN
bracis-19057	215	16	:	:	PUNCT
bracis-19057	215	17	random	random	ADJ
bracis-19057	215	18	forests	forest	NOUN
bracis-19057	215	19	.	.	PUNCT
bracis-19057	216	1	mach	mach	NOUN
bracis-19057	216	2	.	.	PUNCT
bracis-19057	217	1	learn	learn	PROPN
bracis-19057	217	2	.	.	PUNCT
bracis-19057	218	1	45(1	45(1	NOUN
bracis-19057	218	2	)	)	PUNCT
bracis-19057	218	3	,	,	PUNCT
bracis-19057	218	4	5–32	5–32	NOUN
bracis-19057	218	5	(	(	PUNCT
bracis-19057	218	6	2001	2001	NUM
bracis-19057	218	7	)	)	PUNCT
bracis-19057	218	8	article	article	NOUN
bracis-19057	218	9	  	  	SPACE
bracis-19057	218	10	google	google	PROPN
bracis-19057	218	11	scholar	scholar	NOUN
bracis-19057	218	12	  	  	SPACE
bracis-19057	218	13	carneiro	carneiro	PROPN
bracis-19057	218	14	,	,	PUNCT
bracis-19057	218	15	m.g	m.g	PROPN
bracis-19057	218	16	.	.	PROPN
bracis-19057	218	17	,	,	PUNCT
bracis-19057	218	18	zhao	zhao	PROPN
bracis-19057	218	19	,	,	PUNCT
bracis-19057	218	20	l.	l.	PROPN
bracis-19057	218	21	:	:	PUNCT
bracis-19057	218	22	organizational	organizational	ADJ
bracis-19057	218	23	data	datum	NOUN
bracis-19057	218	24	classification	classification	NOUN
bracis-19057	218	25	based	base	VERB
bracis-19057	218	26	on	on	ADP
bracis-19057	218	27	the	the	DET
bracis-19057	218	28	importance	importance	NOUN
bracis-19057	218	29	concept	concept	NOUN
bracis-19057	218	30	of	of	ADP
bracis-19057	218	31	complex	complex	ADJ
bracis-19057	218	32	networks	network	NOUN
bracis-19057	218	33	.	.	PUNCT
bracis-19057	219	1	ieee	ieee	PROPN
bracis-19057	219	2	trans	trans	PROPN
bracis-19057	219	3	.	.	PUNCT
bracis-19057	220	1	neural	neural	ADJ
bracis-19057	220	2	netw	netw	NOUN
bracis-19057	220	3	.	.	PUNCT
bracis-19057	221	1	learn	learn	VERB
bracis-19057	221	2	.	.	PUNCT
bracis-19057	222	1	syst	syst	PROPN
bracis-19057	222	2	.	.	PUNCT
bracis-19057	223	1	29(8	29(8	NUM
bracis-19057	223	2	)	)	PUNCT
bracis-19057	223	3	,	,	PUNCT
bracis-19057	223	4	3361–3373	3361–3373	NUM
bracis-19057	223	5	(	(	PUNCT
bracis-19057	223	6	2017	2017	NUM
bracis-19057	223	7	)	)	PUNCT
bracis-19057	223	8	google	google	PROPN
bracis-19057	223	9	scholar	scholar	NOUN
bracis-19057	223	10	  	  	SPACE
bracis-19057	223	11	chen	chen	PROPN
bracis-19057	223	12	,	,	PUNCT
bracis-19057	223	13	d.	d.	PROPN
bracis-19057	223	14	,	,	PUNCT
bracis-19057	223	15	lü	lü	PROPN
bracis-19057	223	16	,	,	PUNCT
bracis-19057	223	17	l.	l.	PROPN
bracis-19057	223	18	,	,	PUNCT
bracis-19057	223	19	shang	shang	PROPN
bracis-19057	223	20	,	,	PUNCT
bracis-19057	223	21	m.s	m.s	PROPN
bracis-19057	223	22	.	.	PROPN
bracis-19057	223	23	,	,	PUNCT
bracis-19057	223	24	zhang	zhang	PROPN
bracis-19057	223	25	,	,	PUNCT
bracis-19057	223	26	y.c	y.c	PROPN
bracis-19057	223	27	.	.	PROPN
bracis-19057	223	28	,	,	PUNCT
bracis-19057	223	29	zhou	zhou	PROPN
bracis-19057	223	30	,	,	PUNCT
bracis-19057	223	31	t.	t.	PROPN
bracis-19057	223	32	:	:	PUNCT
bracis-19057	223	33	identifying	identify	VERB
bracis-19057	223	34	influential	influential	ADJ
bracis-19057	223	35	nodes	node	NOUN
bracis-19057	223	36	in	in	ADP
bracis-19057	223	37	complex	complex	ADJ
bracis-19057	223	38	networks	network	NOUN
bracis-19057	223	39	.	.	PUNCT
bracis-19057	224	1	phys	phy	NOUN
bracis-19057	224	2	.	.	PUNCT
bracis-19057	225	1	a	a	DET
bracis-19057	225	2	:	:	PUNCT
bracis-19057	225	3	stat	stat	NOUN
bracis-19057	225	4	.	.	PUNCT
bracis-19057	226	1	mech	mech	PROPN
bracis-19057	226	2	.	.	PUNCT
bracis-19057	227	1	appl	appl	PROPN
bracis-19057	227	2	.	.	PUNCT
bracis-19057	228	1	391(4	391(4	NUM
bracis-19057	228	2	)	)	PUNCT
bracis-19057	228	3	,	,	PUNCT
bracis-19057	228	4	1777–1787	1777–1787	NUM
bracis-19057	228	5	(	(	PUNCT
bracis-19057	228	6	2012	2012	NUM
bracis-19057	228	7	)	)	PUNCT
bracis-19057	228	8	article	article	NOUN
bracis-19057	228	9	  	  	SPACE
bracis-19057	228	10	google	google	PROPN
bracis-19057	228	11	scholar	scholar	NOUN
bracis-19057	228	12	  	  	SPACE
bracis-19057	228	13	colliri	colliri	NOUN
bracis-19057	228	14	,	,	PUNCT
bracis-19057	228	15	t.	t.	PROPN
bracis-19057	228	16	,	,	PUNCT
bracis-19057	228	17	ji	ji	PROPN
bracis-19057	228	18	,	,	PUNCT
bracis-19057	228	19	d.	d.	PROPN
bracis-19057	228	20	,	,	PUNCT
bracis-19057	228	21	pan	pan	PROPN
bracis-19057	228	22	,	,	PUNCT
bracis-19057	228	23	h.	h.	PROPN
bracis-19057	228	24	,	,	PUNCT
bracis-19057	228	25	zhao	zhao	PROPN
bracis-19057	228	26	,	,	PUNCT
bracis-19057	228	27	l.	l.	PROPN
bracis-19057	228	28	:	:	PUNCT
bracis-19057	228	29	a	a	DET
bracis-19057	228	30	network	network	NOUN
bracis-19057	228	31	-	-	PUNCT
bracis-19057	228	32	based	base	VERB
bracis-19057	228	33	high	high	ADJ
bracis-19057	228	34	level	level	NOUN
bracis-19057	228	35	data	datum	NOUN
bracis-19057	228	36	classification	classification	NOUN
bracis-19057	228	37	technique	technique	NOUN
bracis-19057	228	38	.	.	PUNCT
bracis-19057	229	1	in	in	ADP
bracis-19057	229	2	:	:	PUNCT
bracis-19057	229	3	2018	2018	NUM
bracis-19057	229	4	international	international	ADJ
bracis-19057	229	5	joint	joint	ADJ
bracis-19057	229	6	conference	conference	NOUN
bracis-19057	229	7	on	on	ADP
bracis-19057	229	8	neural	neural	ADJ
bracis-19057	229	9	networks	network	NOUN
bracis-19057	229	10	(	(	PUNCT
bracis-19057	229	11	ijcnn	ijcnn	PROPN
bracis-19057	229	12	)	)	PUNCT
bracis-19057	229	13	,	,	PUNCT
bracis-19057	229	14	pp	pp	ADP
bracis-19057	229	15	.	.	PUNCT
bracis-19057	230	1	1–8	1–8	X
bracis-19057	230	2	.	.	PUNCT
bracis-19057	230	3	ieee	ieee	PROPN
bracis-19057	230	4	(	(	PUNCT
bracis-19057	230	5	2018	2018	NUM
bracis-19057	230	6	)	)	PUNCT
bracis-19057	230	7	google	google	NOUN
bracis-19057	230	8	scholar	scholar	NOUN
bracis-19057	230	9	  	  	SPACE
bracis-19057	230	10	csardi	csardi	PROPN
bracis-19057	230	11	,	,	PUNCT
bracis-19057	230	12	g.	g.	PROPN
bracis-19057	230	13	,	,	PUNCT
bracis-19057	230	14	nepusz	nepusz	NOUN
bracis-19057	230	15	,	,	PUNCT
bracis-19057	230	16	t.	t.	PROPN
bracis-19057	230	17	,	,	PUNCT
bracis-19057	230	18	et	et	PROPN
bracis-19057	230	19	al	al	PROPN
bracis-19057	230	20	.	.	PROPN
bracis-19057	230	21	:	:	PUNCT
bracis-19057	231	1	the	the	DET
bracis-19057	231	2	igraph	igraph	PROPN
bracis-19057	231	3	software	software	NOUN
bracis-19057	231	4	package	package	NOUN
bracis-19057	231	5	for	for	ADP
bracis-19057	231	6	complex	complex	ADJ
bracis-19057	231	7	network	network	NOUN
bracis-19057	231	8	research	research	NOUN
bracis-19057	231	9	.	.	PUNCT
bracis-19057	232	1	int	int	NOUN
bracis-19057	232	2	.	.	PUNCT
bracis-19057	233	1	j.	j.	PROPN
bracis-19057	233	2	complex	complex	PROPN
bracis-19057	233	3	syst	syst	PROPN
bracis-19057	233	4	.	.	PUNCT
bracis-19057	234	1	1695(5	1695(5	NUM
bracis-19057	234	2	)	)	PUNCT
bracis-19057	234	3	,	,	PUNCT
bracis-19057	234	4	1–9	1–9	NUM
bracis-19057	234	5	(	(	PUNCT
bracis-19057	234	6	2006	2006	NUM
bracis-19057	234	7	)	)	PUNCT
bracis-19057	234	8	google	google	PROPN
bracis-19057	234	9	scholar	scholar	NOUN
bracis-19057	234	10	  	  	SPACE
bracis-19057	234	11	fapesp	fapesp	NOUN
bracis-19057	234	12	:	:	PUNCT
bracis-19057	234	13	research	research	NOUN
bracis-19057	234	14	data	datum	NOUN
bracis-19057	234	15	metasearch	metasearch	NOUN
bracis-19057	234	16	.	.	PUNCT
bracis-19057	235	1	https://repositorio.uspdigital.usp.br/handle/item/243	https://repositorio.uspdigital.usp.br/handle/item/243	PROPN
bracis-19057	235	2	.	.	PUNCT
bracis-19057	236	1	accessed	access	VERB
bracis-19057	236	2	1	1	NUM
bracis-19057	236	3	feb	feb	NOUN
bracis-19057	236	4	2021	2021	NUM
bracis-19057	236	5	freund	freund	PROPN
bracis-19057	236	6	,	,	PUNCT
bracis-19057	236	7	yoav	yoav	PROPN
bracis-19057	236	8	,	,	PUNCT
bracis-19057	236	9	schapire	schapire	NOUN
bracis-19057	236	10	,	,	PUNCT
bracis-19057	236	11	robert	robert	PROPN
bracis-19057	236	12	e	e	PROPN
bracis-19057	236	13	..	..	PUNCT
bracis-19057	236	14	:	:	PUNCT
bracis-19057	236	15	a	a	DET
bracis-19057	236	16	desicion	desicion	NOUN
bracis-19057	236	17	-	-	PUNCT
bracis-19057	236	18	theoretic	theoretic	NOUN
bracis-19057	236	19	generalization	generalization	NOUN
bracis-19057	236	20	of	of	ADP
bracis-19057	236	21	on	on	ADP
bracis-19057	236	22	-	-	PUNCT
bracis-19057	236	23	line	line	NOUN
bracis-19057	236	24	learning	learning	NOUN
bracis-19057	236	25	and	and	CCONJ
bracis-19057	236	26	an	an	DET
bracis-19057	236	27	application	application	NOUN
bracis-19057	236	28	to	to	ADP
bracis-19057	236	29	boosting	boost	VERB
bracis-19057	236	30	.	.	PUNCT
bracis-19057	237	1	in	in	ADP
bracis-19057	237	2	:	:	PUNCT
bracis-19057	237	3	vitányi	vitányi	PROPN
bracis-19057	237	4	,	,	PUNCT
bracis-19057	237	5	paul	paul	PROPN
bracis-19057	237	6	(	(	PUNCT
bracis-19057	237	7	ed	ed	NOUN
bracis-19057	237	8	.	.	PUNCT
bracis-19057	237	9	)	)	PUNCT
bracis-19057	237	10	eurocolt	eurocolt	NOUN
bracis-19057	237	11	1995	1995	NUM
bracis-19057	237	12	.	.	PUNCT
bracis-19057	238	1	lncs	lncs	PROPN
bracis-19057	238	2	,	,	PUNCT
bracis-19057	238	3	vol	vol	NOUN
bracis-19057	238	4	.	.	PROPN
bracis-19057	238	5	904	904	NUM
bracis-19057	238	6	,	,	PUNCT
bracis-19057	238	7	pp	pp	ADJ
bracis-19057	238	8	.	.	PUNCT
bracis-19057	239	1	23–37	23–37	NOUN
bracis-19057	239	2	.	.	PUNCT
bracis-19057	240	1	springer	springer	NOUN
bracis-19057	240	2	,	,	PUNCT
bracis-19057	240	3	heidelberg	heidelberg	PROPN
bracis-19057	240	4	(	(	PUNCT
bracis-19057	240	5	1995	1995	NUM
bracis-19057	240	6	)	)	PUNCT
bracis-19057	240	7	.	.	PUNCT
bracis-19057	241	1	https://doi.org/10.1007/3-540-59119-2_166	https://doi.org/10.1007/3-540-59119-2_166	ADJ
bracis-19057	241	2	chapter	chapter	NOUN
bracis-19057	241	3	  	  	SPACE
bracis-19057	241	4	google	google	PROPN
bracis-19057	241	5	scholar	scholar	NOUN
bracis-19057	241	6	  	  	SPACE
bracis-19057	241	7	gelman	gelman	NOUN
bracis-19057	241	8	,	,	PUNCT
bracis-19057	241	9	a.	a.	PROPN
bracis-19057	241	10	,	,	PUNCT
bracis-19057	241	11	hill	hill	PROPN
bracis-19057	241	12	,	,	PUNCT
bracis-19057	241	13	j.	j.	PROPN
bracis-19057	241	14	:	:	PUNCT
bracis-19057	241	15	data	datum	NOUN
bracis-19057	241	16	analysis	analysis	NOUN
bracis-19057	241	17	using	use	VERB
bracis-19057	241	18	regression	regression	NOUN
bracis-19057	241	19	and	and	CCONJ
bracis-19057	241	20	multilevel	multilevel	ADJ
bracis-19057	241	21	hierarchical	hierarchical	ADJ
bracis-19057	241	22	models	model	NOUN
bracis-19057	241	23	,	,	PUNCT
bracis-19057	241	24	vol	vol	NOUN
bracis-19057	241	25	.	.	PROPN
bracis-19057	241	26	1	1	NUM
bracis-19057	241	27	.	.	X
bracis-19057	241	28	cambridge	cambridge	PROPN
bracis-19057	241	29	university	university	PROPN
bracis-19057	241	30	press	press	NOUN
bracis-19057	241	31	,	,	PUNCT
bracis-19057	241	32	new	new	PROPN
bracis-19057	241	33	york	york	PROPN
bracis-19057	241	34	(	(	PUNCT
bracis-19057	241	35	2007	2007	NUM
bracis-19057	241	36	)	)	PUNCT
bracis-19057	241	37	google	google	PROPN
bracis-19057	241	38	scholar	scholar	NOUN
bracis-19057	241	39	  	  	SPACE
bracis-19057	241	40	hinton	hinton	PROPN
bracis-19057	241	41	,	,	PUNCT
bracis-19057	241	42	g.e	g.e	PROPN
bracis-19057	241	43	.	.	PUNCT
bracis-19057	241	44	:	:	PUNCT
bracis-19057	241	45	connectionist	connectionist	NOUN
bracis-19057	241	46	learning	learning	NOUN
bracis-19057	241	47	procedures	procedure	NOUN
bracis-19057	241	48	.	.	PUNCT
bracis-19057	242	1	artif	artif	INTJ
bracis-19057	242	2	.	.	PUNCT
bracis-19057	243	1	intell	intell	PROPN
bracis-19057	243	2	.	.	PUNCT
bracis-19057	244	1	40(1–3	40(1–3	PROPN
bracis-19057	244	2	)	)	PUNCT
bracis-19057	244	3	,	,	PUNCT
bracis-19057	244	4	185–234	185–234	NUM
bracis-19057	244	5	(	(	PUNCT
bracis-19057	244	6	1989	1989	NUM
bracis-19057	244	7	)	)	PUNCT
bracis-19057	244	8	article	article	NOUN
bracis-19057	244	9	  	  	SPACE
bracis-19057	244	10	google	google	PROPN
bracis-19057	244	11	scholar	scholar	NOUN
bracis-19057	244	12	  	  	SPACE
bracis-19057	244	13	lichman	lichman	NOUN
bracis-19057	244	14	,	,	PUNCT
bracis-19057	244	15	m.	m.	NOUN
bracis-19057	244	16	:	:	PUNCT
bracis-19057	244	17	uci	uci	PROPN
bracis-19057	244	18	machine	machine	NOUN
bracis-19057	244	19	learning	learn	VERB
bracis-19057	244	20	repository	repository	NOUN
bracis-19057	244	21	(	(	PUNCT
bracis-19057	244	22	2013	2013	NUM
bracis-19057	244	23	)	)	PUNCT
bracis-19057	244	24	.	.	PUNCT
bracis-19057	245	1	http://archive.ics.uci.edu/ml	http://archive.ics.uci.edu/ml	NUM
bracis-19057	245	2	metsky	metsky	NOUN
bracis-19057	245	3	,	,	PUNCT
bracis-19057	245	4	h.c	h.c	PROPN
bracis-19057	245	5	.	.	PROPN
bracis-19057	245	6	,	,	PUNCT
bracis-19057	245	7	freije	freije	NOUN
bracis-19057	245	8	,	,	PUNCT
bracis-19057	245	9	c.a	c.a	PROPN
bracis-19057	245	10	.	.	PROPN
bracis-19057	245	11	,	,	PUNCT
bracis-19057	245	12	kosoko	kosoko	NOUN
bracis-19057	245	13	-	-	PUNCT
bracis-19057	245	14	thoroddsen	thoroddsen	PROPN
bracis-19057	245	15	,	,	PUNCT
bracis-19057	245	16	t.s.f	t.s.f	ADP
bracis-19057	245	17	.	.	PROPN
bracis-19057	245	18	,	,	PUNCT
bracis-19057	245	19	sabeti	sabeti	PROPN
bracis-19057	245	20	,	,	PUNCT
bracis-19057	245	21	p.c	p.c	PROPN
bracis-19057	245	22	.	.	PROPN
bracis-19057	245	23	,	,	PUNCT
bracis-19057	245	24	myhrvold	myhrvold	PROPN
bracis-19057	245	25	,	,	PUNCT
bracis-19057	245	26	c.	c.	NOUN
bracis-19057	245	27	:	:	PUNCT
bracis-19057	245	28	crispr	crispr	NOUN
bracis-19057	245	29	-	-	PUNCT
bracis-19057	245	30	based	base	VERB
bracis-19057	245	31	surveillance	surveillance	NOUN
bracis-19057	245	32	for	for	ADP
bracis-19057	245	33	covid-19	covid-19	PROPN
bracis-19057	245	34	using	use	VERB
bracis-19057	245	35	genomically	genomically	ADV
bracis-19057	245	36	-	-	PUNCT
bracis-19057	245	37	comprehensive	comprehensive	ADJ
bracis-19057	245	38	machine	machine	NOUN
bracis-19057	245	39	learning	learn	VERB
bracis-19057	245	40	design	design	NOUN
bracis-19057	245	41	.	.	PUNCT
bracis-19057	246	1	biorxiv	biorxiv	NOUN
bracis-19057	246	2	(	(	PUNCT
bracis-19057	246	3	2020	2020	NUM
bracis-19057	246	4	)	)	PUNCT
bracis-19057	246	5	google	google	PROPN
bracis-19057	246	6	scholar	scholar	NOUN
bracis-19057	246	7	  	  	SPACE
bracis-19057	246	8	pearson	pearson	PROPN
bracis-19057	246	9	,	,	PUNCT
bracis-19057	246	10	k.	k.	PROPN
bracis-19057	246	11	:	:	PUNCT
bracis-19057	246	12	note	note	VERB
bracis-19057	246	13	on	on	ADP
bracis-19057	246	14	regression	regression	NOUN
bracis-19057	246	15	and	and	CCONJ
bracis-19057	246	16	inheritance	inheritance	NOUN
bracis-19057	246	17	in	in	ADP
bracis-19057	246	18	the	the	DET
bracis-19057	246	19	case	case	NOUN
bracis-19057	246	20	of	of	ADP
bracis-19057	246	21	two	two	NUM
bracis-19057	246	22	parents	parent	NOUN
bracis-19057	246	23	.	.	PUNCT
bracis-19057	247	1	proc	proc	NOUN
bracis-19057	247	2	.	.	PUNCT
bracis-19057	248	1	royal	royal	ADJ
bracis-19057	248	2	soc	soc	PROPN
bracis-19057	248	3	.	.	PUNCT
bracis-19057	249	1	london	london	PROPN
bracis-19057	249	2	58(347–352	58(347–352	PROPN
bracis-19057	249	3	)	)	PUNCT
bracis-19057	249	4	,	,	PUNCT
bracis-19057	249	5	240–242	240–242	NUM
bracis-19057	249	6	(	(	PUNCT
bracis-19057	249	7	1895	1895	NUM
bracis-19057	249	8	)	)	PUNCT
bracis-19057	249	9	google	google	PROPN
bracis-19057	249	10	scholar	scholar	NOUN
bracis-19057	249	11	  	  	SPACE
bracis-19057	249	12	pedregosa	pedregosa	PROPN
bracis-19057	249	13	,	,	PUNCT
bracis-19057	249	14	f.	f.	PROPN
bracis-19057	249	15	,	,	PUNCT
bracis-19057	249	16	et	et	PROPN
bracis-19057	249	17	al	al	PROPN
bracis-19057	249	18	.	.	PROPN
bracis-19057	249	19	:	:	PUNCT
bracis-19057	250	1	scikit	scikit	NOUN
bracis-19057	250	2	-	-	PUNCT
bracis-19057	250	3	learn	learn	VERB
bracis-19057	250	4	:	:	PUNCT
bracis-19057	250	5	machine	machine	NOUN
bracis-19057	250	6	learning	learning	NOUN
bracis-19057	250	7	in	in	ADP
bracis-19057	250	8	python	python	PROPN
bracis-19057	250	9	.	.	PUNCT
bracis-19057	251	1	j.	j.	PROPN
bracis-19057	251	2	mach	mach	PROPN
bracis-19057	251	3	.	.	PUNCT
bracis-19057	252	1	learn	learn	VERB
bracis-19057	252	2	.	.	PUNCT
bracis-19057	253	1	res	re	NOUN
bracis-19057	253	2	.	.	PROPN
bracis-19057	254	1	12	12	NUM
bracis-19057	254	2	,	,	PUNCT
bracis-19057	254	3	2825–2830	2825–2830	NUM
bracis-19057	254	4	(	(	PUNCT
bracis-19057	254	5	2011	2011	NUM
bracis-19057	254	6	)	)	PUNCT
bracis-19057	254	7	mathscinet	mathscinet	NOUN
bracis-19057	254	8	  	  	SPACE
bracis-19057	254	9	math	math	NOUN
bracis-19057	254	10	  	  	SPACE
bracis-19057	254	11	google	google	PROPN
bracis-19057	254	12	scholar	scholar	NOUN
bracis-19057	254	13	  	  	SPACE
bracis-19057	254	14	rish	rish	PROPN
bracis-19057	254	15	,	,	PUNCT
bracis-19057	254	16	i.	i.	PROPN
bracis-19057	254	17	:	:	PUNCT
bracis-19057	255	1	an	an	DET
bracis-19057	255	2	empirical	empirical	ADJ
bracis-19057	255	3	study	study	NOUN
bracis-19057	255	4	of	of	ADP
bracis-19057	255	5	the	the	DET
bracis-19057	255	6	naive	naive	ADJ
bracis-19057	255	7	bayes	bayes	NOUN
bracis-19057	255	8	classifier	classifier	NOUN
bracis-19057	255	9	.	.	PUNCT
bracis-19057	256	1	in	in	ADP
bracis-19057	256	2	:	:	PUNCT
bracis-19057	256	3	ijcai	ijcai	VERB
bracis-19057	256	4	2001	2001	NUM
bracis-19057	256	5	workshop	workshop	NOUN
bracis-19057	256	6	on	on	ADP
bracis-19057	256	7	empirical	empirical	ADJ
bracis-19057	256	8	methods	method	NOUN
bracis-19057	256	9	in	in	ADP
bracis-19057	256	10	artificial	artificial	ADJ
bracis-19057	256	11	intelligence	intelligence	NOUN
bracis-19057	256	12	,	,	PUNCT
bracis-19057	256	13	vol	vol	NOUN
bracis-19057	256	14	.	.	PROPN
bracis-19057	256	15	3(22	3(22	NUM
bracis-19057	256	16	)	)	PUNCT
bracis-19057	256	17	(	(	PUNCT
bracis-19057	256	18	2001	2001	NUM
bracis-19057	256	19	)	)	PUNCT
bracis-19057	256	20	,	,	PUNCT
bracis-19057	256	21	ibm	ibm	PROPN
bracis-19057	256	22	new	new	PROPN
bracis-19057	256	23	york	york	PROPN
bracis-19057	256	24	google	google	PROPN
bracis-19057	256	25	scholar	scholar	PROPN
bracis-19057	256	26	  	  	SPACE
bracis-19057	256	27	safavin	safavin	NOUN
bracis-19057	256	28	,	,	PUNCT
bracis-19057	256	29	s.r	s.r	PROPN
bracis-19057	256	30	.	.	PROPN
bracis-19057	256	31	,	,	PUNCT
bracis-19057	256	32	landgrebe	landgrebe	PROPN
bracis-19057	256	33	,	,	PUNCT
bracis-19057	256	34	d.	d.	PROPN
bracis-19057	256	35	:	:	PUNCT
bracis-19057	256	36	a	a	DET
bracis-19057	256	37	survey	survey	NOUN
bracis-19057	256	38	of	of	ADP
bracis-19057	256	39	decision	decision	NOUN
bracis-19057	256	40	tree	tree	NOUN
bracis-19057	256	41	classifier	classifier	NOUN
bracis-19057	256	42	methodology	methodology	PROPN
bracis-19057	256	43	.	.	PUNCT
bracis-19057	257	1	ieee	ieee	PROPN
bracis-19057	257	2	trans	trans	PROPN
bracis-19057	257	3	.	.	PUNCT
bracis-19057	258	1	syst	syst	PROPN
bracis-19057	258	2	.	.	PUNCT
bracis-19057	258	3	,	,	PUNCT
bracis-19057	258	4	man	man	NOUN
bracis-19057	258	5	,	,	PUNCT
bracis-19057	258	6	cybern	cybern	NOUN
bracis-19057	258	7	.	.	PUNCT
bracis-19057	259	1	21(3	21(3	NUM
bracis-19057	259	2	)	)	PUNCT
bracis-19057	259	3	,	,	PUNCT
bracis-19057	259	4	660–674	660–674	NUM
bracis-19057	259	5	(	(	PUNCT
bracis-19057	259	6	1991	1991	NUM
bracis-19057	259	7	)	)	PUNCT
bracis-19057	259	8	google	google	PROPN
bracis-19057	259	9	scholar	scholar	NOUN
bracis-19057	259	10	  	  	SPACE
bracis-19057	259	11	secr	secr	NOUN
bracis-19057	259	12	.	.	PUNCT
bracis-19057	260	1	saude	saude	PROPN
bracis-19057	260	2	sp	sp	PROPN
bracis-19057	260	3	:	:	PUNCT
bracis-19057	260	4	prefeitura.sp.gov.br/cidade/secretarias/saude/vigilancia\(\_\)em\(\_\)saude/.	prefeitura.sp.gov.br/cidade/secretarias/saude/vigilancia\(\_\)em\(\_\)saude/.	ADV
bracis-19057	260	5	accessed	access	VERB
bracis-19057	260	6	9	9	NUM
bracis-19057	260	7	may	may	NOUN
bracis-19057	260	8	2021	2021	NUM
bracis-19057	260	9	google	google	PROPN
bracis-19057	260	10	scholar	scholar	NOUN
bracis-19057	260	11	  	  	SPACE
bracis-19057	260	12	shan	shan	NOUN
bracis-19057	260	13	,	,	PUNCT
bracis-19057	260	14	f.	f.	PROPN
bracis-19057	260	15	,	,	PUNCT
bracis-19057	260	16	et	et	PROPN
bracis-19057	260	17	al	al	PROPN
bracis-19057	260	18	.	.	PUNCT
bracis-19057	260	19	:	:	PUNCT
bracis-19057	261	1	lung	lung	NOUN
bracis-19057	261	2	infection	infection	NOUN
bracis-19057	261	3	quantification	quantification	NOUN
bracis-19057	261	4	of	of	ADP
bracis-19057	261	5	covid-19	covid-19	PROPN
bracis-19057	261	6	in	in	ADP
bracis-19057	261	7	ct	ct	NUM
bracis-19057	261	8	images	image	NOUN
bracis-19057	261	9	with	with	ADP
bracis-19057	261	10	deep	deep	ADJ
bracis-19057	261	11	learning	learning	NOUN
bracis-19057	261	12	.	.	PUNCT
bracis-19057	262	1	arxiv	arxiv	PROPN
bracis-19057	262	2	preprint	preprint	NOUN
bracis-19057	262	3	arxiv:2003.04655	arxiv:2003.04655	X
bracis-19057	262	4	(	(	PUNCT
bracis-19057	262	5	2020	2020	NUM
bracis-19057	262	6	)	)	PUNCT
bracis-19057	262	7	silva	silva	PROPN
bracis-19057	262	8	,	,	PUNCT
bracis-19057	262	9	t.c	t.c	PROPN
bracis-19057	262	10	.	.	PROPN
bracis-19057	262	11	,	,	PUNCT
bracis-19057	262	12	zhao	zhao	PROPN
bracis-19057	262	13	,	,	PUNCT
bracis-19057	262	14	l.	l.	PROPN
bracis-19057	262	15	:	:	PUNCT
bracis-19057	262	16	network	network	NOUN
bracis-19057	262	17	-	-	PUNCT
bracis-19057	262	18	based	base	VERB
bracis-19057	262	19	high	high	ADJ
bracis-19057	262	20	level	level	NOUN
bracis-19057	262	21	data	datum	NOUN
bracis-19057	262	22	classification	classification	NOUN
bracis-19057	262	23	.	.	PUNCT
bracis-19057	263	1	ieee	ieee	PROPN
bracis-19057	263	2	trans	trans	PROPN
bracis-19057	263	3	.	.	PUNCT
bracis-19057	264	1	neural	neural	ADJ
bracis-19057	264	2	netw	netw	NOUN
bracis-19057	264	3	.	.	PUNCT
bracis-19057	265	1	learn	learn	VERB
bracis-19057	265	2	.	.	PUNCT
bracis-19057	266	1	syst	syst	PROPN
bracis-19057	266	2	.	.	PUNCT
bracis-19057	267	1	23(6	23(6	NUM
bracis-19057	267	2	)	)	PUNCT
bracis-19057	267	3	,	,	PUNCT
bracis-19057	267	4	954–970	954–970	NUM
bracis-19057	267	5	(	(	PUNCT
bracis-19057	267	6	2012	2012	NUM
bracis-19057	267	7	)	)	PUNCT
bracis-19057	267	8	article	article	NOUN
bracis-19057	267	9	  	  	SPACE
bracis-19057	267	10	google	google	PROPN
bracis-19057	267	11	scholar	scholar	NOUN
bracis-19057	267	12	  	  	SPACE
bracis-19057	267	13	strogatz	strogatz	NOUN
bracis-19057	267	14	,	,	PUNCT
bracis-19057	267	15	s.h	s.h	PROPN
bracis-19057	267	16	.	.	PROPN
bracis-19057	267	17	:	:	PUNCT
bracis-19057	267	18	exploring	explore	VERB
bracis-19057	267	19	complex	complex	ADJ
bracis-19057	267	20	networks	network	NOUN
bracis-19057	267	21	.	.	PUNCT
bracis-19057	268	1	nature	nature	NOUN
bracis-19057	268	2	410(6825	410(6825	PROPN
bracis-19057	268	3	)	)	PUNCT
bracis-19057	268	4	,	,	PUNCT
bracis-19057	268	5	268–276	268–276	NUM
bracis-19057	268	6	(	(	PUNCT
bracis-19057	268	7	2001	2001	NUM
bracis-19057	268	8	)	)	PUNCT
bracis-19057	268	9	article	article	NOUN
bracis-19057	268	10	  	  	SPACE
bracis-19057	268	11	google	google	PROPN
bracis-19057	268	12	scholar	scholar	NOUN
bracis-19057	268	13	  	  	SPACE
bracis-19057	268	14	valejo	valejo	PROPN
bracis-19057	268	15	,	,	PUNCT
bracis-19057	268	16	a.	a.	PROPN
bracis-19057	268	17	,	,	PUNCT
bracis-19057	268	18	ferreira	ferreira	PROPN
bracis-19057	268	19	,	,	PUNCT
bracis-19057	268	20	v.	v.	PROPN
bracis-19057	268	21	,	,	PUNCT
bracis-19057	268	22	fabbri	fabbri	NOUN
bracis-19057	268	23	,	,	PUNCT
bracis-19057	268	24	r.	r.	PROPN
bracis-19057	268	25	,	,	PUNCT
bracis-19057	268	26	oliveira	oliveira	PROPN
bracis-19057	268	27	,	,	PUNCT
bracis-19057	268	28	m.c.f.d	m.c.f.d	PROPN
bracis-19057	268	29	.	.	PROPN
bracis-19057	268	30	,	,	PUNCT
bracis-19057	268	31	lopes	lopes	PROPN
bracis-19057	268	32	,	,	PUNCT
bracis-19057	268	33	a.d.a	a.d.a	PROPN
bracis-19057	268	34	.	.	PUNCT
bracis-19057	268	35	:	:	PUNCT
bracis-19057	269	1	a	a	DET
bracis-19057	269	2	critical	critical	ADJ
bracis-19057	269	3	survey	survey	NOUN
bracis-19057	269	4	of	of	ADP
bracis-19057	269	5	the	the	DET
bracis-19057	269	6	multilevel	multilevel	ADJ
bracis-19057	269	7	method	method	NOUN
bracis-19057	269	8	in	in	ADP
bracis-19057	269	9	complex	complex	ADJ
bracis-19057	269	10	networks	network	NOUN
bracis-19057	269	11	.	.	PUNCT
bracis-19057	270	1	acm	acm	PROPN
bracis-19057	270	2	comput	comput	NOUN
bracis-19057	270	3	.	.	PUNCT
bracis-19057	271	1	surv	surv	NOUN
bracis-19057	271	2	.	.	PUNCT
bracis-19057	272	1	(	(	PUNCT
bracis-19057	272	2	csur	csur	NOUN
bracis-19057	272	3	)	)	PUNCT
bracis-19057	272	4	53(2	53(2	PROPN
bracis-19057	272	5	)	)	PUNCT
bracis-19057	272	6	,	,	PUNCT
bracis-19057	272	7	1–35	1–35	NUM
bracis-19057	272	8	(	(	PUNCT
bracis-19057	272	9	2020	2020	NUM
bracis-19057	272	10	)	)	PUNCT
bracis-19057	272	11	google	google	PROPN
bracis-19057	272	12	scholar	scholar	NOUN
bracis-19057	272	13	  	  	SPACE
bracis-19057	272	14	vapnik	vapnik	NOUN
bracis-19057	272	15	,	,	PUNCT
bracis-19057	272	16	v.n	v.n	PROPN
bracis-19057	272	17	.	.	PROPN
bracis-19057	272	18	:	:	PUNCT
bracis-19057	273	1	the	the	DET
bracis-19057	273	2	nature	nature	NOUN
bracis-19057	273	3	of	of	ADP
bracis-19057	273	4	statistical	statistical	ADJ
bracis-19057	273	5	learning	learning	NOUN
bracis-19057	273	6	theory	theory	NOUN
bracis-19057	273	7	.	.	PUNCT
bracis-19057	274	1	springer	springer	NOUN
bracis-19057	274	2	,	,	PUNCT
bracis-19057	274	3	new	new	PROPN
bracis-19057	274	4	york	york	PROPN
bracis-19057	274	5	(	(	PUNCT
bracis-19057	274	6	2000	2000	NUM
bracis-19057	274	7	)	)	PUNCT
bracis-19057	274	8	.	.	PUNCT
bracis-19057	275	1	https://doi.org/10.1007/978-1-4757-3264-1	https://doi.org/10.1007/978-1-4757-3264-1	PROPN
bracis-19057	275	2	yan	yan	PROPN
bracis-19057	275	3	,	,	PUNCT
bracis-19057	275	4	l.	l.	PROPN
bracis-19057	275	5	,	,	PUNCT
bracis-19057	275	6	et	et	PROPN
bracis-19057	275	7	al	al	PROPN
bracis-19057	275	8	.	.	PROPN
bracis-19057	275	9	:	:	PUNCT
bracis-19057	276	1	an	an	DET
bracis-19057	276	2	interpretable	interpretable	ADJ
bracis-19057	276	3	mortality	mortality	NOUN
bracis-19057	276	4	prediction	prediction	NOUN
bracis-19057	276	5	model	model	NOUN
bracis-19057	276	6	for	for	ADP
bracis-19057	276	7	covid-19	covid-19	PROPN
bracis-19057	276	8	patients	patient	NOUN
bracis-19057	276	9	.	.	PUNCT
bracis-19057	277	1	nat	nat	NOUN
bracis-19057	277	2	.	.	PUNCT
bracis-19057	278	1	mach	mach	PROPN
bracis-19057	278	2	.	.	PUNCT
bracis-19057	279	1	intell	intell	PROPN
bracis-19057	279	2	.	.	PUNCT
bracis-19057	280	1	2(5	2(5	NUM
bracis-19057	280	2	)	)	PUNCT
bracis-19057	280	3	,	,	PUNCT
bracis-19057	280	4	1–6	1–6	NUM
bracis-19057	280	5	(	(	PUNCT
bracis-19057	280	6	2020	2020	NUM
bracis-19057	280	7	)	)	PUNCT
bracis-19057	280	8	google	google	PROPN
bracis-19057	280	9	scholar	scholar	NOUN
bracis-19057	280	10	  	  	SPACE
bracis-19057	280	11	zoabi	zoabi	NOUN
bracis-19057	280	12	,	,	PUNCT
bracis-19057	280	13	y.	y.	PROPN
bracis-19057	280	14	,	,	PUNCT
bracis-19057	280	15	deri	deri	PROPN
bracis-19057	280	16	-	-	PUNCT
bracis-19057	280	17	rozov	rozov	PROPN
bracis-19057	280	18	,	,	PUNCT
bracis-19057	280	19	s.	s.	PROPN
bracis-19057	280	20	,	,	PUNCT
bracis-19057	280	21	shomron	shomron	PROPN
bracis-19057	280	22	,	,	PUNCT
bracis-19057	280	23	n.	n.	NOUN
bracis-19057	280	24	:	:	PUNCT
bracis-19057	280	25	machine	machine	NOUN
bracis-19057	280	26	learning	learning	NOUN
bracis-19057	280	27	-	-	PUNCT
bracis-19057	280	28	based	base	VERB
bracis-19057	280	29	prediction	prediction	NOUN
bracis-19057	280	30	of	of	ADP
bracis-19057	280	31	covid-19	covid-19	PROPN
bracis-19057	280	32	diagnosis	diagnosis	NOUN
bracis-19057	280	33	based	base	VERB
bracis-19057	280	34	on	on	ADP
bracis-19057	280	35	symptoms	symptom	NOUN
bracis-19057	280	36	.	.	PUNCT
bracis-19057	281	1	npj	npj	PROPN
bracis-19057	281	2	digital	digital	PROPN
bracis-19057	281	3	med	med	PROPN
bracis-19057	281	4	.	.	PUNCT
bracis-19057	282	1	4(1	4(1	NOUN
bracis-19057	282	2	)	)	PUNCT
bracis-19057	283	1	,	,	PUNCT
bracis-19057	283	2	1–5	1–5	X
bracis-19057	283	3	(	(	PUNCT
bracis-19057	283	4	2021	2021	NUM
bracis-19057	283	5	)	)	PUNCT
bracis-19057	283	6	google	google	NOUN
bracis-19057	283	7	scholar	scholar	NOUN
bracis-19057	283	8	  	  	SPACE
bracis-19057	283	9	download	download	NOUN
bracis-19057	283	10	references	reference	NOUN
bracis-19057	283	11	author	author	NOUN
bracis-19057	283	12	information	information	NOUN
bracis-19057	283	13	authors	author	NOUN
bracis-19057	283	14	and	and	CCONJ
bracis-19057	283	15	affiliations	affiliation	NOUN
bracis-19057	283	16	dept	dept	NOUN
bracis-19057	283	17	.	.	PUNCT
bracis-19057	283	18	of	of	ADP
bracis-19057	283	19	computer	computer	NOUN
bracis-19057	283	20	science	science	NOUN
bracis-19057	283	21	,	,	PUNCT
bracis-19057	283	22	university	university	NOUN
bracis-19057	283	23	of	of	ADP
bracis-19057	283	24	fortaleza	fortaleza	PROPN
bracis-19057	283	25	(	(	PUNCT
bracis-19057	283	26	unifor	unifor	PROPN
bracis-19057	283	27	)	)	PUNCT
bracis-19057	283	28	,	,	PUNCT
bracis-19057	283	29	fortaleza	fortaleza	PROPN
bracis-19057	283	30	,	,	PUNCT
bracis-19057	283	31	brazil	brazil	PROPN
bracis-19057	283	32	tiago	tiago	PROPN
bracis-19057	283	33	colliri	colliri	PROPN
bracis-19057	283	34	faculty	faculty	NOUN
bracis-19057	283	35	of	of	ADP
bracis-19057	283	36	public	public	ADJ
bracis-19057	283	37	health	health	NOUN
bracis-19057	283	38	,	,	PUNCT
bracis-19057	283	39	univ	univ	PROPN
bracis-19057	283	40	.	.	PROPN
bracis-19057	283	41	of	of	ADP
bracis-19057	283	42	sao	sao	PROPN
bracis-19057	283	43	paulo	paulo	PROPN
bracis-19057	283	44	,	,	PUNCT
bracis-19057	283	45	sao	sao	PROPN
bracis-19057	283	46	paulo	paulo	PROPN
bracis-19057	283	47	,	,	PUNCT
bracis-19057	283	48	brazil	brazil	PROPN
bracis-19057	283	49	marcia	marcia	PROPN
bracis-19057	283	50	minakawa	minakawa	PROPN
bracis-19057	283	51	faculty	faculty	NOUN
bracis-19057	283	52	of	of	ADP
bracis-19057	283	53	philosophy	philosophy	NOUN
bracis-19057	283	54	,	,	PUNCT
bracis-19057	283	55	science	science	NOUN
bracis-19057	283	56	and	and	CCONJ
bracis-19057	283	57	letters	letter	NOUN
bracis-19057	283	58	,	,	PUNCT
bracis-19057	283	59	univ	univ	PROPN
bracis-19057	283	60	.	.	PROPN
bracis-19057	283	61	of	of	ADP
bracis-19057	283	62	sao	sao	PROPN
bracis-19057	283	63	paulo	paulo	PROPN
bracis-19057	283	64	,	,	PUNCT
bracis-19057	283	65	ribeirao	ribeirao	NOUN
bracis-19057	283	66	preto	preto	NOUN
bracis-19057	283	67	,	,	PUNCT
bracis-19057	283	68	brazil	brazil	PROPN
bracis-19057	283	69	liang	liang	PROPN
bracis-19057	283	70	zhao	zhao	PROPN
bracis-19057	283	71	authors	authors	PROPN
bracis-19057	283	72	tiago	tiago	PROPN
bracis-19057	283	73	colliriview	colliriview	PROPN
bracis-19057	283	74	author	author	NOUN
bracis-19057	283	75	publications	publication	NOUN
bracis-19057	283	76	search	search	NOUN
bracis-19057	283	77	author	author	NOUN
bracis-19057	283	78	on	on	ADP
bracis-19057	283	79	:	:	PUNCT
bracis-19057	283	80	pubmed	pubmed	PROPN
bracis-19057	283	81	 	 	SPACE
bracis-19057	283	82	google	google	PROPN
bracis-19057	283	83	scholar	scholar	PROPN
bracis-19057	283	84	marcia	marcia	PROPN
bracis-19057	283	85	minakawaview	minakawaview	PROPN
bracis-19057	283	86	author	author	NOUN
bracis-19057	283	87	publications	publication	NOUN
bracis-19057	283	88	search	search	NOUN
bracis-19057	283	89	author	author	NOUN
bracis-19057	283	90	on	on	ADP
bracis-19057	283	91	:	:	PUNCT
bracis-19057	283	92	pubmed	pubmed	PROPN
bracis-19057	283	93	 	 	SPACE
bracis-19057	283	94	google	google	PROPN
bracis-19057	283	95	scholar	scholar	PROPN
bracis-19057	283	96	liang	liang	PROPN
bracis-19057	283	97	zhaoview	zhaoview	PROPN
bracis-19057	283	98	author	author	NOUN
bracis-19057	283	99	publications	publication	NOUN
bracis-19057	283	100	search	search	NOUN
bracis-19057	283	101	author	author	NOUN
bracis-19057	283	102	on	on	ADP
bracis-19057	283	103	:	:	PUNCT
bracis-19057	283	104	pubmed	pubmed	PROPN
bracis-19057	283	105	 	 	SPACE
bracis-19057	283	106	google	google	PROPN
bracis-19057	283	107	scholar	scholar	NOUN
bracis-19057	283	108	corresponding	correspond	VERB
bracis-19057	283	109	author	author	NOUN
bracis-19057	283	110	correspondence	correspondence	NOUN
bracis-19057	283	111	to	to	ADP
bracis-19057	283	112	tiago	tiago	PROPN
bracis-19057	283	113	colliri	colliri	PROPN
bracis-19057	283	114	.	.	PUNCT
bracis-19057	284	1	editor	editor	NOUN
bracis-19057	284	2	information	information	NOUN
bracis-19057	284	3	editors	editor	NOUN
bracis-19057	284	4	and	and	CCONJ
bracis-19057	284	5	affiliations	affiliation	NOUN
bracis-19057	284	6	universidade	universidade	PROPN
bracis-19057	284	7	federal	federal	PROPN
bracis-19057	284	8	de	de	X
bracis-19057	284	9	sergipe	sergipe	PROPN
bracis-19057	284	10	,	,	PUNCT
bracis-19057	284	11	são	são	NOUN
bracis-19057	284	12	cristóvão	cristóvão	PROPN
bracis-19057	284	13	,	,	PUNCT
bracis-19057	284	14	brazil	brazil	PROPN
bracis-19057	284	15	andré	andré	PROPN
bracis-19057	284	16	britto	britto	PROPN
bracis-19057	284	17	universidade	universidade	PROPN
bracis-19057	284	18	de	de	PROPN
bracis-19057	284	19	são	são	PROPN
bracis-19057	284	20	paulo	paulo	PROPN
bracis-19057	284	21	,	,	PUNCT
bracis-19057	284	22	são	são	PROPN
bracis-19057	284	23	paulo	paulo	PROPN
bracis-19057	284	24	,	,	PUNCT
bracis-19057	284	25	brazil	brazil	PROPN
bracis-19057	284	26	karina	karina	PROPN
bracis-19057	284	27	valdivia	valdivia	PROPN
bracis-19057	284	28	delgado	delgado	VERB
bracis-19057	284	29	rights	right	NOUN
bracis-19057	284	30	and	and	CCONJ
bracis-19057	284	31	permissions	permission	NOUN
bracis-19057	284	32	reprints	reprint	NOUN
bracis-19057	284	33	and	and	CCONJ
bracis-19057	284	34	permissions	permission	VERB
bracis-19057	284	35	copyright	copyright	NOUN
bracis-19057	284	36	information	information	NOUN
bracis-19057	284	37	©	©	PROPN
bracis-19057	284	38	2021	2021	NUM
bracis-19057	284	39	springer	springer	NOUN
bracis-19057	284	40	nature	nature	NOUN
bracis-19057	284	41	switzerland	switzerland	PROPN
bracis-19057	284	42	ag	ag	PROPN
bracis-19057	284	43	about	about	ADP
bracis-19057	284	44	this	this	DET
bracis-19057	284	45	paper	paper	NOUN
bracis-19057	284	46	cite	cite	VERB
bracis-19057	284	47	this	this	DET
bracis-19057	284	48	paper	paper	NOUN
bracis-19057	284	49	colliri	colliri	NOUN
bracis-19057	284	50	,	,	PUNCT
bracis-19057	284	51	t.	t.	PROPN
bracis-19057	284	52	,	,	PUNCT
bracis-19057	284	53	minakawa	minakawa	PROPN
bracis-19057	284	54	,	,	PUNCT
bracis-19057	284	55	m.	m.	NOUN
bracis-19057	284	56	,	,	PUNCT
bracis-19057	284	57	zhao	zhao	PROPN
bracis-19057	284	58	,	,	PUNCT
bracis-19057	284	59	l.	l.	PROPN
bracis-19057	284	60	(	(	PUNCT
bracis-19057	284	61	2021	2021	NUM
bracis-19057	284	62	)	)	PUNCT
bracis-19057	284	63	.	.	PUNCT
bracis-19057	285	1	detecting	detect	VERB
bracis-19057	285	2	early	early	ADJ
bracis-19057	285	3	signs	sign	NOUN
bracis-19057	285	4	of	of	ADP
bracis-19057	285	5	insufficiency	insufficiency	NOUN
bracis-19057	285	6	in	in	ADP
bracis-19057	285	7	covid-19	covid-19	PROPN
bracis-19057	285	8	patients	patient	NOUN
bracis-19057	285	9	from	from	ADP
bracis-19057	285	10	cbc	cbc	PROPN
bracis-19057	285	11	tests	test	NOUN
bracis-19057	285	12	through	through	ADP
bracis-19057	285	13	a	a	DET
bracis-19057	285	14	supervised	supervised	ADJ
bracis-19057	285	15	learning	learning	NOUN
bracis-19057	285	16	approach	approach	NOUN
bracis-19057	285	17	.	.	PUNCT
bracis-19057	286	1	in	in	ADP
bracis-19057	286	2	:	:	PUNCT
bracis-19057	286	3	britto	britto	PROPN
bracis-19057	286	4	,	,	PUNCT
bracis-19057	286	5	a.	a.	PROPN
bracis-19057	286	6	,	,	PUNCT
bracis-19057	286	7	valdivia	valdivia	PROPN
bracis-19057	286	8	delgado	delgado	PROPN
bracis-19057	286	9	,	,	PUNCT
bracis-19057	286	10	k.	k.	PROPN
bracis-19057	286	11	(	(	PUNCT
bracis-19057	286	12	eds	eds	PROPN
bracis-19057	286	13	)	)	PUNCT
bracis-19057	286	14	intelligent	intelligent	ADJ
bracis-19057	286	15	systems	system	NOUN
bracis-19057	286	16	.	.	PUNCT
bracis-19057	287	1	bracis	bracis	PROPN
bracis-19057	287	2	2021	2021	NUM
bracis-19057	287	3	.	.	PUNCT
bracis-19057	288	1	lecture	lecture	NOUN
bracis-19057	288	2	notes	note	NOUN
bracis-19057	288	3	in	in	ADP
bracis-19057	288	4	computer	computer	NOUN
bracis-19057	288	5	science	science	NOUN
bracis-19057	288	6	(	(	PUNCT
bracis-19057	288	7	)	)	PUNCT
bracis-19057	288	8	,	,	PUNCT
bracis-19057	288	9	vol	vol	NOUN
bracis-19057	288	10	13074	13074	NUM
bracis-19057	288	11	.	.	PUNCT
bracis-19057	289	1	springer	springer	NOUN
bracis-19057	289	2	,	,	PUNCT
bracis-19057	289	3	cham	cham	PROPN
bracis-19057	289	4	.	.	PUNCT
bracis-19057	290	1	https://doi.org/10.1007/978-3-030-91699-2_4	https://doi.org/10.1007/978-3-030-91699-2_4	PROPN
bracis-19057	290	2	download	download	NOUN
bracis-19057	290	3	citation	citation	NOUN
bracis-19057	290	4	.ris	.ris	PUNCT
bracis-19057	290	5	.enw	.enw	PROPN
bracis-19057	290	6	.bib	.bib	PUNCT
bracis-19057	291	1	doi	doi	PROPN
bracis-19057	291	2	:	:	PUNCT
bracis-19057	291	3	https://doi.org/10.1007/978-3-030-91699-2_4	https://doi.org/10.1007/978-3-030-91699-2_4	NUM
bracis-19057	291	4	published	publish	VERB
bracis-19057	291	5	:	:	PUNCT
bracis-19057	291	6	28	28	NUM
bracis-19057	291	7	november	november	PROPN
bracis-19057	291	8	2021	2021	NUM
bracis-19057	291	9	publisher	publisher	NOUN
bracis-19057	291	10	name	name	NOUN
bracis-19057	291	11	:	:	PUNCT
bracis-19057	291	12	springer	springer	NOUN
bracis-19057	291	13	,	,	PUNCT
bracis-19057	291	14	cham	cham	PROPN
bracis-19057	291	15	print	print	PROPN
bracis-19057	291	16	isbn	isbn	PROPN
bracis-19057	291	17	:	:	PUNCT
bracis-19057	291	18	978	978	NUM
bracis-19057	291	19	-	-	SYM
bracis-19057	291	20	3	3	NUM
bracis-19057	291	21	-	-	PUNCT
bracis-19057	291	22	030	030	NUM
bracis-19057	291	23	-	-	PUNCT
bracis-19057	291	24	91698	91698	NUM
bracis-19057	291	25	-	-	SYM
bracis-19057	291	26	5	5	NUM
bracis-19057	291	27	online	online	ADJ
bracis-19057	291	28	isbn	isbn	NOUN
bracis-19057	291	29	:	:	PUNCT
bracis-19057	291	30	978	978	NUM
bracis-19057	291	31	-	-	SYM
bracis-19057	291	32	3	3	NUM
bracis-19057	291	33	-	-	PUNCT
bracis-19057	291	34	030	030	NUM
bracis-19057	291	35	-	-	PUNCT
bracis-19057	291	36	91699	91699	NUM
bracis-19057	291	37	-	-	SYM
bracis-19057	291	38	2	2	NUM
bracis-19057	291	39	ebook	ebook	NOUN
bracis-19057	291	40	packages	package	NOUN
bracis-19057	291	41	:	:	PUNCT
bracis-19057	291	42	computer	computer	NOUN
bracis-19057	291	43	sciencecomputer	sciencecomputer	NOUN
bracis-19057	291	44	science	science	NOUN
bracis-19057	291	45	(	(	PUNCT
bracis-19057	291	46	r0	r0	NOUN
bracis-19057	291	47	)	)	PUNCT
bracis-19057	291	48	share	share	VERB
bracis-19057	291	49	this	this	DET
bracis-19057	291	50	paper	paper	NOUN
bracis-19057	291	51	anyone	anyone	PRON
bracis-19057	291	52	you	you	PRON
bracis-19057	291	53	share	share	VERB
bracis-19057	291	54	the	the	DET
bracis-19057	291	55	following	follow	VERB
bracis-19057	291	56	link	link	NOUN
bracis-19057	291	57	with	with	ADP
bracis-19057	291	58	will	will	AUX
bracis-19057	291	59	be	be	AUX
bracis-19057	291	60	able	able	ADJ
bracis-19057	291	61	to	to	PART
bracis-19057	291	62	read	read	VERB
bracis-19057	291	63	this	this	DET
bracis-19057	291	64	content	content	NOUN
bracis-19057	291	65	:	:	PUNCT
bracis-19057	291	66	get	get	VERB
bracis-19057	291	67	shareable	shareable	ADJ
bracis-19057	291	68	linksorry	linksorry	NOUN
bracis-19057	291	69	,	,	PUNCT
bracis-19057	291	70	a	a	DET
bracis-19057	291	71	shareable	shareable	ADJ
bracis-19057	291	72	link	link	NOUN
bracis-19057	291	73	is	be	AUX
bracis-19057	291	74	not	not	PART
bracis-19057	291	75	currently	currently	ADV
bracis-19057	291	76	available	available	ADJ
bracis-19057	291	77	for	for	ADP
bracis-19057	291	78	this	this	DET
bracis-19057	291	79	article	article	NOUN
bracis-19057	291	80	.	.	PUNCT
bracis-19057	292	1	copy	copy	VERB
bracis-19057	292	2	shareable	shareable	ADJ
bracis-19057	292	3	link	link	NOUN
bracis-19057	292	4	to	to	PART
bracis-19057	292	5	clipboard	clipboard	NOUN
bracis-19057	292	6	provided	provide	VERB
bracis-19057	292	7	by	by	ADP
bracis-19057	292	8	the	the	DET
bracis-19057	292	9	springer	springer	NOUN
bracis-19057	292	10	nature	nature	PROPN
bracis-19057	292	11	sharedit	sharedit	PROPN
bracis-19057	292	12	content	content	NOUN
bracis-19057	292	13	-	-	PUNCT
bracis-19057	292	14	sharing	share	VERB
bracis-19057	292	15	initiative	initiative	NOUN
bracis-19057	292	16	keywords	keyword	NOUN
bracis-19057	292	17	complex	complex	ADJ
bracis-19057	292	18	networks	network	NOUN
bracis-19057	292	19	classification	classification	VERB
bracis-19057	292	20	high	high	ADJ
bracis-19057	292	21	-	-	PUNCT
bracis-19057	292	22	level	level	NOUN
bracis-19057	292	23	data	data	NOUN
bracis-19057	292	24	pattern	pattern	NOUN
bracis-19057	292	25	characterization	characterization	NOUN
bracis-19057	293	1	covid-19	covid-19	PROPN
bracis-19057	293	2	prognosis	prognosis	NOUN
bracis-19057	293	3	insufficiency	insufficiency	NOUN
bracis-19057	293	4	detection	detection	NOUN
bracis-19057	293	5	biomarkers	biomarker	VERB
bracis-19057	293	6	cbc	cbc	NOUN
bracis-19057	293	7	tests	test	NOUN
bracis-19057	293	8	publish	publish	VERB
bracis-19057	293	9	with	with	ADP
bracis-19057	293	10	us	us	PROPN
bracis-19057	293	11	policies	policy	NOUN
bracis-19057	293	12	and	and	CCONJ
bracis-19057	293	13	ethics	ethic	NOUN
bracis-19057	293	14	search	search	NOUN
bracis-19057	293	15	search	search	NOUN
bracis-19057	293	16	by	by	ADP
bracis-19057	293	17	keyword	keyword	NOUN
bracis-19057	293	18	or	or	CCONJ
bracis-19057	293	19	author	author	NOUN
bracis-19057	293	20	search	search	NOUN
bracis-19057	293	21	navigation	navigation	NOUN
bracis-19057	293	22	find	find	VERB
bracis-19057	293	23	a	a	DET
bracis-19057	293	24	journal	journal	NOUN
bracis-19057	293	25	publish	publish	VERB
bracis-19057	293	26	with	with	ADP
bracis-19057	293	27	us	we	PRON
bracis-19057	293	28	track	track	VERB
bracis-19057	293	29	your	your	PRON
bracis-19057	293	30	research	research	NOUN
bracis-19057	293	31	discover	discover	VERB
bracis-19057	293	32	content	content	NOUN
bracis-19057	293	33	journals	journal	NOUN
bracis-19057	293	34	a	a	DET
bracis-19057	293	35	-	-	PUNCT
bracis-19057	293	36	z	z	NOUN
bracis-19057	293	37	books	book	NOUN
bracis-19057	293	38	a	a	DET
bracis-19057	293	39	-	-	PUNCT
bracis-19057	293	40	z	z	NOUN
bracis-19057	293	41	publish	publish	NOUN
bracis-19057	293	42	with	with	ADP
bracis-19057	293	43	us	us	PROPN
bracis-19057	293	44	journal	journal	PROPN
bracis-19057	293	45	finder	finder	PROPN
bracis-19057	293	46	publish	publish	VERB
bracis-19057	293	47	your	your	PRON
bracis-19057	293	48	research	research	NOUN
bracis-19057	293	49	language	language	NOUN
bracis-19057	293	50	editing	edit	VERB
bracis-19057	293	51	open	open	ADJ
bracis-19057	293	52	access	access	NOUN
bracis-19057	293	53	publishing	publishing	NOUN
bracis-19057	293	54	products	product	NOUN
bracis-19057	293	55	and	and	CCONJ
bracis-19057	293	56	services	service	NOUN
bracis-19057	293	57	our	our	PRON
bracis-19057	293	58	products	product	NOUN
bracis-19057	293	59	librarians	librarian	VERB
bracis-19057	293	60	societies	society	NOUN
bracis-19057	293	61	partners	partner	NOUN
bracis-19057	293	62	and	and	CCONJ
bracis-19057	293	63	advertisers	advertiser	NOUN
bracis-19057	293	64	our	our	PRON
bracis-19057	293	65	brands	brand	NOUN
bracis-19057	293	66	springer	springer	NOUN
bracis-19057	293	67	nature	nature	PROPN
bracis-19057	293	68	portfolio	portfolio	PROPN
bracis-19057	293	69	bmc	bmc	PROPN
bracis-19057	293	70	palgrave	palgrave	PROPN
bracis-19057	293	71	macmillan	macmillan	PROPN
bracis-19057	293	72	apress	apress	PROPN
bracis-19057	293	73	discover	discover	VERB
bracis-19057	293	74	your	your	PRON
bracis-19057	293	75	privacy	privacy	NOUN
bracis-19057	293	76	choices	choice	NOUN
bracis-19057	293	77	/	/	SYM
bracis-19057	293	78	manage	manage	NOUN
bracis-19057	293	79	cookies	cookie	NOUN
bracis-19057	293	80	your	your	PRON
bracis-19057	293	81	us	us	PROPN
bracis-19057	294	1	state	state	NOUN
bracis-19057	294	2	privacy	privacy	NOUN
bracis-19057	294	3	rights	right	NOUN
bracis-19057	294	4	accessibility	accessibility	NOUN
bracis-19057	294	5	statement	statement	NOUN
bracis-19057	294	6	terms	term	NOUN
bracis-19057	294	7	and	and	CCONJ
bracis-19057	294	8	conditions	condition	NOUN
bracis-19057	294	9	privacy	privacy	NOUN
bracis-19057	294	10	policy	policy	NOUN
bracis-19057	294	11	help	help	NOUN
bracis-19057	294	12	and	and	CCONJ
bracis-19057	294	13	support	support	VERB
bracis-19057	294	14	legal	legal	ADJ
bracis-19057	294	15	notice	notice	NOUN
bracis-19057	294	16	cancel	cancel	VERB
bracis-19057	294	17	contracts	contract	NOUN
bracis-19057	294	18	here	here	ADV
bracis-19057	294	19	129.74.145.123	129.74.145.123	NUM
bracis-19057	294	20	hesburgh	hesburgh	PROPN
bracis-19057	294	21	library	library	PROPN
bracis-19057	294	22	er	er	INTJ
bracis-19057	294	23	unit	unit	NOUN
bracis-19057	294	24	(	(	PUNCT
bracis-19057	294	25	3005732405	3005732405	NUM
bracis-19057	294	26	)	)	PUNCT
bracis-19057	294	27	northeast	northeast	ADJ
bracis-19057	294	28	research	research	NOUN
bracis-19057	294	29	libraries	library	NOUN
bracis-19057	294	30	(	(	PUNCT
bracis-19057	294	31	nerl	nerl	PROPN
bracis-19057	294	32	)	)	PUNCT
bracis-19057	294	33	(	(	PUNCT
bracis-19057	294	34	8200828607	8200828607	NUM
bracis-19057	294	35	)	)	PUNCT
bracis-19057	294	36	nerl	nerl	VERB
bracis-19057	294	37	ta	ta	X
bracis-19057	294	38	account	account	NOUN
bracis-19057	294	39	(	(	PUNCT
bracis-19057	294	40	3006206169	3006206169	NUM
bracis-19057	294	41	)	)	PUNCT
bracis-19057	294	42	university	university	NOUN
bracis-19057	294	43	of	of	ADP
bracis-19057	294	44	notre	notre	PROPN
bracis-19057	294	45	dame	dame	PROPN
bracis-19057	294	46	hesburgh	hesburgh	PROPN
bracis-19057	294	47	library	library	NOUN
bracis-19057	294	48	(	(	PUNCT
bracis-19057	294	49	3000184373	3000184373	NUM
bracis-19057	294	50	)	)	PUNCT
bracis-19057	295	1	©	©	ADP
bracis-19057	295	2	2025	2025	NUM
bracis-19057	295	3	springer	springer	NOUN
bracis-19057	295	4	nature	nature	NOUN