id	sid	tid	token	lemma	pos
bracis-28384	1	1	clinical	clinical	ADJ
bracis-28384	1	2	oncology	oncology	NOUN
bracis-28384	1	3	textual	textual	ADJ
bracis-28384	1	4	notes	note	NOUN
bracis-28384	1	5	analysis	analysis	NOUN
bracis-28384	1	6	using	use	VERB
bracis-28384	1	7	machine	machine	NOUN
bracis-28384	1	8	learning	learning	NOUN
bracis-28384	1	9	and	and	CCONJ
bracis-28384	1	10	 	 	SPACE
bracis-28384	1	11	deep	deep	ADJ
bracis-28384	1	12	learning	learning	NOUN
bracis-28384	1	13	|	|	ADV
bracis-28384	1	14	springer	springer	NOUN
bracis-28384	1	15	nature	nature	PROPN
bracis-28384	1	16	link	link	PROPN
bracis-28384	1	17	(	(	PUNCT
bracis-28384	1	18	formerly	formerly	ADV
bracis-28384	1	19	springerlink	springerlink	NOUN
bracis-28384	1	20	)	)	PUNCT
bracis-28384	1	21	skip	skip	VERB
bracis-28384	1	22	to	to	ADP
bracis-28384	1	23	main	main	ADJ
bracis-28384	1	24	content	content	NOUN
bracis-28384	1	25	advertisement	advertisement	NOUN
bracis-28384	1	26	log	log	NOUN
bracis-28384	1	27	in	in	ADP
bracis-28384	1	28	menu	menu	NOUN
bracis-28384	1	29	find	find	VERB
bracis-28384	1	30	a	a	DET
bracis-28384	1	31	journal	journal	NOUN
bracis-28384	1	32	publish	publish	VERB
bracis-28384	1	33	with	with	ADP
bracis-28384	1	34	us	we	PRON
bracis-28384	1	35	track	track	VERB
bracis-28384	1	36	your	your	PRON
bracis-28384	1	37	research	research	NOUN
bracis-28384	1	38	search	search	NOUN
bracis-28384	1	39	cart	cart	NOUN
bracis-28384	1	40	home	home	NOUN
bracis-28384	1	41	intelligent	intelligent	ADJ
bracis-28384	1	42	systems	system	NOUN
bracis-28384	1	43	conference	conference	NOUN
bracis-28384	1	44	paper	paper	NOUN
bracis-28384	1	45	clinical	clinical	ADJ
bracis-28384	1	46	oncology	oncology	NOUN
bracis-28384	1	47	textual	textual	ADJ
bracis-28384	1	48	notes	note	NOUN
bracis-28384	1	49	analysis	analysis	NOUN
bracis-28384	1	50	using	use	VERB
bracis-28384	1	51	machine	machine	NOUN
bracis-28384	1	52	learning	learning	NOUN
bracis-28384	1	53	and	and	CCONJ
bracis-28384	1	54	 	 	SPACE
bracis-28384	1	55	deep	deep	ADJ
bracis-28384	1	56	learning	learning	NOUN
bracis-28384	1	57	conference	conference	NOUN
bracis-28384	1	58	paper	paper	NOUN
bracis-28384	1	59	first	first	ADV
bracis-28384	1	60	online	online	ADV
bracis-28384	1	61	:	:	PUNCT
bracis-28384	1	62	12	12	NUM
bracis-28384	1	63	october	october	NOUN
bracis-28384	1	64	2023	2023	NUM
bracis-28384	1	65	pp	pp	PROPN
bracis-28384	1	66	140–153	140–153	NUM
bracis-28384	1	67	cite	cite	VERB
bracis-28384	1	68	this	this	DET
bracis-28384	1	69	conference	conference	NOUN
bracis-28384	1	70	paper	paper	NOUN
bracis-28384	1	71	access	access	NOUN
bracis-28384	1	72	provided	provide	VERB
bracis-28384	1	73	by	by	ADP
bracis-28384	1	74	university	university	PROPN
bracis-28384	1	75	of	of	ADP
bracis-28384	1	76	notre	notre	PROPN
bracis-28384	1	77	dame	dame	PROPN
bracis-28384	1	78	hesburgh	hesburgh	PROPN
bracis-28384	1	79	library	library	PROPN
bracis-28384	1	80	download	download	PROPN
bracis-28384	1	81	book	book	NOUN
bracis-28384	1	82	pdf	pdf	PROPN
bracis-28384	1	83	download	download	NOUN
bracis-28384	1	84	book	book	NOUN
bracis-28384	1	85	epub	epub	PROPN
bracis-28384	1	86	intelligent	intelligent	ADJ
bracis-28384	1	87	systems	system	NOUN
bracis-28384	1	88	(	(	PUNCT
bracis-28384	1	89	bracis	bracis	NOUN
bracis-28384	1	90	2023	2023	NUM
bracis-28384	1	91	)	)	PUNCT
bracis-28384	2	1	clinical	clinical	ADJ
bracis-28384	2	2	oncology	oncology	NOUN
bracis-28384	2	3	textual	textual	ADJ
bracis-28384	2	4	notes	note	NOUN
bracis-28384	2	5	analysis	analysis	NOUN
bracis-28384	2	6	using	use	VERB
bracis-28384	2	7	machine	machine	NOUN
bracis-28384	2	8	learning	learning	NOUN
bracis-28384	2	9	and	and	CCONJ
bracis-28384	2	10	 	 	SPACE
bracis-28384	2	11	deep	deep	ADJ
bracis-28384	2	12	learning	learning	NOUN
bracis-28384	2	13	download	download	NOUN
bracis-28384	2	14	book	book	NOUN
bracis-28384	2	15	pdf	pdf	PROPN
bracis-28384	2	16	download	download	NOUN
bracis-28384	2	17	book	book	PROPN
bracis-28384	2	18	epub	epub	PROPN
bracis-28384	2	19	diego	diego	PROPN
bracis-28384	2	20	pinheiro	pinheiro	PROPN
bracis-28384	2	21	da	da	PROPN
bracis-28384	2	22	silva	silva	PROPN
bracis-28384	2	23	  	  	SPACE
bracis-28384	2	24	orcid	orcid	NOUN
bracis-28384	2	25	:	:	PUNCT
bracis-28384	2	26	orcid.org/0000-0003-2106-644x9	orcid.org/0000-0003-2106-644x9	NUM
bracis-28384	2	27	,	,	PUNCT
bracis-28384	2	28	william	william	PROPN
bracis-28384	2	29	da	da	PROPN
bracis-28384	2	30	rosa	rosa	PROPN
bracis-28384	2	31	fröhlich	fröhlich	PROPN
bracis-28384	2	32	  	  	SPACE
bracis-28384	2	33	orcid	orcid	PROPN
bracis-28384	2	34	:	:	PUNCT
bracis-28384	2	35	orcid.org/0000-0003-3551-262310	orcid.org/0000-0003-3551-262310	PROPN
bracis-28384	2	36	,	,	PUNCT
bracis-28384	2	37	marco	marco	PROPN
bracis-28384	2	38	antonio	antonio	PROPN
bracis-28384	2	39	schwertner9	schwertner9	PROPN
bracis-28384	2	40	&	&	CCONJ
bracis-28384	2	41	…	…	PUNCT
bracis-28384	2	42	sandro	sandro	PROPN
bracis-28384	2	43	josé	josé	PROPN
bracis-28384	2	44	rigo	rigo	PROPN
bracis-28384	2	45	  	  	SPACE
bracis-28384	2	46	orcid	orcid	PROPN
bracis-28384	2	47	:	:	PUNCT
bracis-28384	2	48	orcid.org/0000-0001-8140-56219	orcid.org/0000-0001-8140-56219	NOUN
bracis-28384	2	49	  	  	SPACE
bracis-28384	2	50	show	show	VERB
bracis-28384	2	51	authors	author	NOUN
bracis-28384	2	52	part	part	NOUN
bracis-28384	2	53	of	of	ADP
bracis-28384	2	54	the	the	DET
bracis-28384	2	55	book	book	NOUN
bracis-28384	2	56	series	series	NOUN
bracis-28384	2	57	:	:	PUNCT
bracis-28384	2	58	lecture	lecture	NOUN
bracis-28384	2	59	notes	note	NOUN
bracis-28384	2	60	in	in	ADP
bracis-28384	2	61	computer	computer	NOUN
bracis-28384	2	62	science	science	NOUN
bracis-28384	2	63	(	(	PUNCT
bracis-28384	2	64	(	(	PUNCT
bracis-28384	2	65	lnai	lnai	ADJ
bracis-28384	2	66	,	,	PUNCT
bracis-28384	2	67	volume	volume	NOUN
bracis-28384	2	68	14196	14196	NUM
bracis-28384	2	69	)	)	PUNCT
bracis-28384	2	70	)	)	PUNCT
bracis-28384	2	71	included	include	VERB
bracis-28384	2	72	in	in	ADP
bracis-28384	2	73	the	the	DET
bracis-28384	2	74	following	follow	VERB
bracis-28384	2	75	conference	conference	NOUN
bracis-28384	2	76	series	series	NOUN
bracis-28384	2	77	:	:	PUNCT
bracis-28384	2	78	brazilian	brazilian	ADJ
bracis-28384	2	79	conference	conference	NOUN
bracis-28384	2	80	on	on	ADP
bracis-28384	2	81	intelligent	intelligent	ADJ
bracis-28384	2	82	systems	system	NOUN
bracis-28384	2	83	502	502	NUM
bracis-28384	2	84	accesses	access	VERB
bracis-28384	2	85	abstract	abstract	ADJ
bracis-28384	2	86	advances	advance	NOUN
bracis-28384	2	87	in	in	ADP
bracis-28384	2	88	textual	textual	ADJ
bracis-28384	2	89	classification	classification	NOUN
bracis-28384	2	90	can	can	AUX
bracis-28384	2	91	foster	foster	VERB
bracis-28384	2	92	quality	quality	NOUN
bracis-28384	2	93	in	in	ADP
bracis-28384	2	94	existing	exist	VERB
bracis-28384	2	95	clinical	clinical	ADJ
bracis-28384	2	96	systems	system	NOUN
bracis-28384	2	97	.	.	PUNCT
bracis-28384	3	1	our	our	PRON
bracis-28384	3	2	research	research	NOUN
bracis-28384	3	3	explored	explore	VERB
bracis-28384	3	4	experimentally	experimentally	ADV
bracis-28384	3	5	text	text	NOUN
bracis-28384	3	6	classification	classification	NOUN
bracis-28384	3	7	methods	method	NOUN
bracis-28384	3	8	applied	apply	VERB
bracis-28384	3	9	in	in	ADP
bracis-28384	3	10	non	non	ADJ
bracis-28384	3	11	-	-	ADJ
bracis-28384	3	12	synthetic	synthetic	ADJ
bracis-28384	3	13	oncology	oncology	NOUN
bracis-28384	3	14	clinical	clinical	ADJ
bracis-28384	3	15	notes	note	NOUN
bracis-28384	3	16	corpora	corpora	VERB
bracis-28384	3	17	.	.	PUNCT
bracis-28384	4	1	the	the	DET
bracis-28384	4	2	experiments	experiment	NOUN
bracis-28384	4	3	were	be	AUX
bracis-28384	4	4	performed	perform	VERB
bracis-28384	4	5	in	in	ADP
bracis-28384	4	6	a	a	DET
bracis-28384	4	7	dataset	dataset	NOUN
bracis-28384	4	8	with	with	ADP
bracis-28384	4	9	3,308	3,308	NUM
bracis-28384	4	10	medical	medical	ADJ
bracis-28384	4	11	notes	note	NOUN
bracis-28384	4	12	.	.	PUNCT
bracis-28384	5	1	experiments	experiment	NOUN
bracis-28384	5	2	evaluated	evaluate	VERB
bracis-28384	5	3	the	the	DET
bracis-28384	5	4	following	follow	VERB
bracis-28384	5	5	machine	machine	NOUN
bracis-28384	5	6	learning	learning	NOUN
bracis-28384	5	7	and	and	CCONJ
bracis-28384	5	8	deep	deep	ADJ
bracis-28384	5	9	learning	learn	VERB
bracis-28384	5	10	classification	classification	NOUN
bracis-28384	5	11	methods	method	NOUN
bracis-28384	5	12	:	:	PUNCT
bracis-28384	5	13	multilayer	multilayer	PROPN
bracis-28384	5	14	perceptron	perceptron	PROPN
bracis-28384	5	15	neural	neural	PROPN
bracis-28384	5	16	network	network	NOUN
bracis-28384	5	17	,	,	PUNCT
bracis-28384	5	18	logistic	logistic	ADJ
bracis-28384	5	19	regression	regression	NOUN
bracis-28384	5	20	,	,	PUNCT
bracis-28384	5	21	decision	decision	NOUN
bracis-28384	5	22	tree	tree	NOUN
bracis-28384	5	23	classifier	classifier	NOUN
bracis-28384	5	24	,	,	PUNCT
bracis-28384	5	25	random	random	ADJ
bracis-28384	5	26	forest	forest	NOUN
bracis-28384	5	27	classifier	classifier	NOUN
bracis-28384	5	28	,	,	PUNCT
bracis-28384	5	29	k	k	X
bracis-28384	5	30	-	-	PUNCT
bracis-28384	5	31	nearest	near	ADJ
bracis-28384	5	32	neighbors	neighbor	NOUN
bracis-28384	5	33	classifier	classifier	NOUN
bracis-28384	5	34	,	,	PUNCT
bracis-28384	5	35	and	and	CCONJ
bracis-28384	5	36	long	long	ADV
bracis-28384	5	37	-	-	PUNCT
bracis-28384	5	38	short	short	ADJ
bracis-28384	5	39	term	term	NOUN
bracis-28384	5	40	memory	memory	NOUN
bracis-28384	5	41	.	.	PUNCT
bracis-28384	6	1	an	an	DET
bracis-28384	6	2	experiment	experiment	NOUN
bracis-28384	6	3	evaluated	evaluate	VERB
bracis-28384	6	4	the	the	DET
bracis-28384	6	5	influence	influence	NOUN
bracis-28384	6	6	of	of	ADP
bracis-28384	6	7	the	the	DET
bracis-28384	6	8	corpora	corpora	NOUN
bracis-28384	6	9	preprocessing	preprocessing	NOUN
bracis-28384	6	10	step	step	NOUN
bracis-28384	6	11	on	on	ADP
bracis-28384	6	12	the	the	DET
bracis-28384	6	13	results	result	NOUN
bracis-28384	6	14	,	,	PUNCT
bracis-28384	6	15	allowing	allow	VERB
bracis-28384	6	16	us	we	PRON
bracis-28384	6	17	to	to	PART
bracis-28384	6	18	identify	identify	VERB
bracis-28384	6	19	that	that	SCONJ
bracis-28384	6	20	the	the	DET
bracis-28384	6	21	classifier	classifier	NOUN
bracis-28384	6	22	’s	’s	PART
bracis-28384	6	23	mean	mean	ADJ
bracis-28384	6	24	accuracy	accuracy	NOUN
bracis-28384	6	25	was	be	AUX
bracis-28384	6	26	leveraged	leverage	VERB
bracis-28384	6	27	from	from	ADP
bracis-28384	6	28	26.1	26.1	NUM
bracis-28384	6	29	%	%	NOUN
bracis-28384	6	30	to	to	ADP
bracis-28384	6	31	86.7	86.7	NUM
bracis-28384	6	32	%	%	NOUN
bracis-28384	6	33	with	with	ADP
bracis-28384	6	34	the	the	DET
bracis-28384	6	35	per	per	ADP
bracis-28384	6	36	-	-	PUNCT
bracis-28384	6	37	clinical	clinical	ADJ
bracis-28384	6	38	-	-	PUNCT
bracis-28384	6	39	event	event	NOUN
bracis-28384	6	40	corpus	corpus	NOUN
bracis-28384	6	41	and	and	CCONJ
bracis-28384	6	42	93.9	93.9	NUM
bracis-28384	6	43	%	%	NOUN
bracis-28384	6	44	with	with	ADP
bracis-28384	6	45	the	the	DET
bracis-28384	6	46	per	per	ADP
bracis-28384	6	47	-	-	PUNCT
bracis-28384	6	48	patient	patient	NOUN
bracis-28384	6	49	corpus	corpus	NOUN
bracis-28384	6	50	.	.	PUNCT
bracis-28384	7	1	the	the	DET
bracis-28384	7	2	best	well	ADV
bracis-28384	7	3	-	-	PUNCT
bracis-28384	7	4	performing	perform	VERB
bracis-28384	7	5	classifier	classifier	NOUN
bracis-28384	7	6	was	be	AUX
bracis-28384	7	7	the	the	DET
bracis-28384	7	8	multilayer	multilayer	PROPN
bracis-28384	7	9	perceptron	perceptron	PROPN
bracis-28384	7	10	,	,	PUNCT
bracis-28384	7	11	which	which	PRON
bracis-28384	7	12	achieved	achieve	VERB
bracis-28384	7	13	93.90	93.90	NUM
bracis-28384	7	14	%	%	NOUN
bracis-28384	7	15	accuracy	accuracy	NOUN
bracis-28384	7	16	,	,	PUNCT
bracis-28384	7	17	a	a	DET
bracis-28384	7	18	macro	macro	ADJ
bracis-28384	7	19	f1	f1	NOUN
bracis-28384	7	20	score	score	NOUN
bracis-28384	7	21	of	of	ADP
bracis-28384	7	22	93.61	93.61	NUM
bracis-28384	7	23	%	%	NOUN
bracis-28384	7	24	,	,	PUNCT
bracis-28384	7	25	and	and	CCONJ
bracis-28384	7	26	a	a	DET
bracis-28384	7	27	weighted	weight	VERB
bracis-28384	7	28	f1	f1	NOUN
bracis-28384	7	29	score	score	NOUN
bracis-28384	7	30	of	of	ADP
bracis-28384	7	31	93.99	93.99	NUM
bracis-28384	7	32	%	%	NOUN
bracis-28384	7	33	.	.	PUNCT
bracis-28384	8	1	access	access	NOUN
bracis-28384	8	2	provided	provide	VERB
bracis-28384	8	3	by	by	ADP
bracis-28384	8	4	university	university	PROPN
bracis-28384	8	5	of	of	ADP
bracis-28384	8	6	notre	notre	PROPN
bracis-28384	8	7	dame	dame	PROPN
bracis-28384	8	8	hesburgh	hesburgh	PROPN
bracis-28384	8	9	library	library	PROPN
bracis-28384	8	10	.	.	PUNCT
bracis-28384	9	1	download	download	PROPN
bracis-28384	9	2	conference	conference	NOUN
bracis-28384	9	3	paper	paper	NOUN
bracis-28384	9	4	pdf	pdf	NOUN
bracis-28384	9	5	similar	similar	ADJ
bracis-28384	9	6	content	content	NOUN
bracis-28384	9	7	being	be	AUX
bracis-28384	9	8	viewed	view	VERB
bracis-28384	9	9	by	by	ADP
bracis-28384	9	10	others	other	NOUN
bracis-28384	9	11	ensemble	ensemble	ADJ
bracis-28384	9	12	of	of	ADP
bracis-28384	9	13	 	 	SPACE
bracis-28384	9	14	classifiers	classifier	NOUN
bracis-28384	9	15	for	for	ADP
bracis-28384	9	16	 	 	SPACE
bracis-28384	9	17	multilabel	multilabel	NOUN
bracis-28384	9	18	clinical	clinical	ADJ
bracis-28384	9	19	text	text	NOUN
bracis-28384	9	20	categorization	categorization	NOUN
bracis-28384	9	21	in	in	ADP
bracis-28384	9	22	 	 	SPACE
bracis-28384	9	23	portuguese	portuguese	ADJ
bracis-28384	9	24	chapter	chapter	NOUN
bracis-28384	9	25	©	©	PROPN
bracis-28384	9	26	2023	2023	NUM
bracis-28384	9	27	machine	machine	NOUN
bracis-28384	9	28	learning	learn	VERB
bracis-28384	9	29	performance	performance	NOUN
bracis-28384	9	30	analysis	analysis	NOUN
bracis-28384	9	31	for	for	ADP
bracis-28384	9	32	classification	classification	NOUN
bracis-28384	9	33	of	of	ADP
bracis-28384	9	34	medical	medical	ADJ
bracis-28384	9	35	specialties	specialty	NOUN
bracis-28384	9	36	chapter	chapter	NOUN
bracis-28384	9	37	©	©	PROPN
bracis-28384	9	38	2023	2023	NUM
bracis-28384	9	39	a	a	DET
bracis-28384	9	40	clinical	clinical	ADJ
bracis-28384	9	41	text	text	NOUN
bracis-28384	9	42	classification	classification	NOUN
bracis-28384	9	43	paradigm	paradigm	NOUN
bracis-28384	9	44	using	use	VERB
bracis-28384	9	45	weak	weak	ADJ
bracis-28384	9	46	supervision	supervision	NOUN
bracis-28384	9	47	and	and	CCONJ
bracis-28384	9	48	deep	deep	ADJ
bracis-28384	9	49	representation	representation	NOUN
bracis-28384	9	50	article	article	NOUN
bracis-28384	9	51	open	open	VERB
bracis-28384	9	52	access	access	NOUN
bracis-28384	9	53	07	07	NUM
bracis-28384	9	54	january	january	PROPN
bracis-28384	9	55	2019	2019	NUM
bracis-28384	9	56	explore	explore	VERB
bracis-28384	9	57	related	relate	VERB
bracis-28384	9	58	subjects	subject	NOUN
bracis-28384	9	59	discover	discover	VERB
bracis-28384	9	60	the	the	DET
bracis-28384	9	61	latest	late	ADJ
bracis-28384	9	62	articles	article	NOUN
bracis-28384	9	63	,	,	PUNCT
bracis-28384	9	64	books	book	NOUN
bracis-28384	9	65	and	and	CCONJ
bracis-28384	9	66	news	news	NOUN
bracis-28384	9	67	in	in	ADP
bracis-28384	9	68	related	related	ADJ
bracis-28384	9	69	subjects	subject	NOUN
bracis-28384	9	70	,	,	PUNCT
bracis-28384	9	71	suggested	suggest	VERB
bracis-28384	9	72	using	use	VERB
bracis-28384	9	73	machine	machine	NOUN
bracis-28384	9	74	learning	learning	NOUN
bracis-28384	9	75	.	.	PUNCT
bracis-28384	10	1	categorization	categorization	NOUN
bracis-28384	10	2	clinical	clinical	ADJ
bracis-28384	10	3	epigenetics	epigenetic	NOUN
bracis-28384	10	4	learning	learn	VERB
bracis-28384	10	5	algorithms	algorithm	NOUN
bracis-28384	10	6	machine	machine	NOUN
bracis-28384	10	7	learning	learn	VERB
bracis-28384	10	8	oncology	oncology	NOUN
bracis-28384	10	9	statistical	statistical	ADJ
bracis-28384	10	10	learning	learning	NOUN
bracis-28384	10	11	1	1	NUM
bracis-28384	10	12	introduction	introduction	NOUN
bracis-28384	10	13	today	today	NOUN
bracis-28384	10	14	’s	’s	PART
bracis-28384	10	15	world	world	NOUN
bracis-28384	10	16	is	be	AUX
bracis-28384	10	17	moving	move	VERB
bracis-28384	10	18	toward	toward	ADP
bracis-28384	10	19	changing	change	VERB
bracis-28384	10	20	healthcare	healthcare	NOUN
bracis-28384	10	21	from	from	ADP
bracis-28384	10	22	reactive	reactive	ADJ
bracis-28384	10	23	and	and	CCONJ
bracis-28384	10	24	hospital	hospital	NOUN
bracis-28384	10	25	-	-	PUNCT
bracis-28384	10	26	centered	center	VERB
bracis-28384	10	27	to	to	ADP
bracis-28384	10	28	preventive	preventive	ADJ
bracis-28384	10	29	and	and	CCONJ
bracis-28384	10	30	personalized	personalized	ADJ
bracis-28384	10	31	treatment	treatment	NOUN
bracis-28384	10	32	approaches	approach	NOUN
bracis-28384	10	33	[	[	X
bracis-28384	10	34	1	1	NUM
bracis-28384	10	35	]	]	PUNCT
bracis-28384	10	36	.	.	PUNCT
bracis-28384	11	1	therefore	therefore	ADV
bracis-28384	11	2	,	,	PUNCT
bracis-28384	11	3	physicians	physician	NOUN
bracis-28384	11	4	must	must	AUX
bracis-28384	11	5	be	be	AUX
bracis-28384	11	6	updated	update	VERB
bracis-28384	11	7	with	with	ADP
bracis-28384	11	8	these	these	DET
bracis-28384	11	9	new	new	ADJ
bracis-28384	11	10	treatments	treatment	NOUN
bracis-28384	11	11	and	and	CCONJ
bracis-28384	11	12	patients	patient	NOUN
bracis-28384	11	13	’	’	PART
bracis-28384	11	14	health	health	NOUN
bracis-28384	11	15	information	information	NOUN
bracis-28384	11	16	.	.	PUNCT
bracis-28384	12	1	furthermore	furthermore	ADV
bracis-28384	12	2	,	,	PUNCT
bracis-28384	12	3	decision	decision	NOUN
bracis-28384	12	4	-	-	PUNCT
bracis-28384	12	5	making	making	NOUN
bracis-28384	12	6	is	be	AUX
bracis-28384	12	7	affected	affect	VERB
bracis-28384	12	8	by	by	ADP
bracis-28384	12	9	a	a	DET
bracis-28384	12	10	broad	broad	ADJ
bracis-28384	12	11	range	range	NOUN
bracis-28384	12	12	of	of	ADP
bracis-28384	12	13	parameters	parameter	NOUN
bracis-28384	12	14	.	.	PUNCT
bracis-28384	13	1	for	for	ADP
bracis-28384	13	2	instance	instance	NOUN
bracis-28384	13	3	,	,	PUNCT
bracis-28384	13	4	different	different	ADJ
bracis-28384	13	5	information	information	NOUN
bracis-28384	13	6	sources	source	NOUN
bracis-28384	13	7	are	be	AUX
bracis-28384	13	8	used	use	VERB
bracis-28384	13	9	to	to	PART
bracis-28384	13	10	define	define	VERB
bracis-28384	13	11	oncology	oncology	NOUN
bracis-28384	13	12	diagnosis	diagnosis	NOUN
bracis-28384	13	13	and	and	CCONJ
bracis-28384	13	14	treatment	treatment	NOUN
bracis-28384	13	15	options	option	NOUN
bracis-28384	13	16	[	[	X
bracis-28384	13	17	2	2	NUM
bracis-28384	13	18	]	]	PUNCT
bracis-28384	13	19	.	.	PUNCT
bracis-28384	14	1	in	in	ADP
bracis-28384	14	2	this	this	DET
bracis-28384	14	3	context	context	NOUN
bracis-28384	14	4	,	,	PUNCT
bracis-28384	14	5	the	the	DET
bracis-28384	14	6	information	information	NOUN
bracis-28384	14	7	accumulated	accumulate	VERB
bracis-28384	14	8	in	in	ADP
bracis-28384	14	9	a	a	DET
bracis-28384	14	10	health	health	NOUN
bracis-28384	14	11	institution	institution	NOUN
bracis-28384	14	12	’s	’s	PART
bracis-28384	14	13	database	database	NOUN
bracis-28384	14	14	can	can	AUX
bracis-28384	14	15	prove	prove	VERB
bracis-28384	14	16	valuable	valuable	ADJ
bracis-28384	14	17	to	to	PART
bracis-28384	14	18	help	help	VERB
bracis-28384	14	19	physicians	physician	NOUN
bracis-28384	14	20	decide	decide	VERB
bracis-28384	14	21	on	on	ADP
bracis-28384	14	22	the	the	DET
bracis-28384	14	23	appropriate	appropriate	ADJ
bracis-28384	14	24	course	course	NOUN
bracis-28384	14	25	of	of	ADP
bracis-28384	14	26	action	action	NOUN
bracis-28384	14	27	in	in	ADP
bracis-28384	14	28	specific	specific	ADJ
bracis-28384	14	29	cases	case	NOUN
bracis-28384	14	30	[	[	X
bracis-28384	14	31	3	3	NUM
bracis-28384	14	32	]	]	PUNCT
bracis-28384	14	33	.	.	PUNCT
bracis-28384	15	1	nevertheless	nevertheless	ADV
bracis-28384	15	2	,	,	PUNCT
bracis-28384	15	3	it	it	PRON
bracis-28384	15	4	is	be	AUX
bracis-28384	15	5	not	not	PART
bracis-28384	15	6	feasible	feasible	ADJ
bracis-28384	15	7	for	for	SCONJ
bracis-28384	15	8	health	health	NOUN
bracis-28384	15	9	professionals	professional	NOUN
bracis-28384	15	10	to	to	PART
bracis-28384	15	11	manually	manually	ADV
bracis-28384	15	12	evaluate	evaluate	VERB
bracis-28384	15	13	and	and	CCONJ
bracis-28384	15	14	analyze	analyze	VERB
bracis-28384	15	15	these	these	DET
bracis-28384	15	16	resources	resource	NOUN
bracis-28384	15	17	due	due	ADP
bracis-28384	15	18	to	to	ADP
bracis-28384	15	19	the	the	DET
bracis-28384	15	20	enormous	enormous	ADJ
bracis-28384	15	21	effort	effort	NOUN
bracis-28384	15	22	it	it	PRON
bracis-28384	15	23	will	will	AUX
bracis-28384	15	24	demand	demand	VERB
bracis-28384	15	25	,	,	PUNCT
bracis-28384	15	26	considering	consider	VERB
bracis-28384	15	27	the	the	DET
bracis-28384	15	28	size	size	NOUN
bracis-28384	15	29	of	of	ADP
bracis-28384	15	30	these	these	DET
bracis-28384	15	31	databases	database	NOUN
bracis-28384	15	32	[	[	X
bracis-28384	15	33	4	4	NUM
bracis-28384	15	34	]	]	PUNCT
bracis-28384	15	35	,	,	PUNCT
bracis-28384	15	36	and	and	CCONJ
bracis-28384	15	37	the	the	DET
bracis-28384	15	38	exponential	exponential	ADJ
bracis-28384	15	39	growth	growth	NOUN
bracis-28384	15	40	in	in	ADP
bracis-28384	15	41	medical	medical	ADJ
bracis-28384	15	42	information	information	NOUN
bracis-28384	15	43	[	[	X
bracis-28384	15	44	5	5	NUM
bracis-28384	15	45	]	]	PUNCT
bracis-28384	15	46	.	.	PUNCT
bracis-28384	16	1	due	due	ADP
bracis-28384	16	2	to	to	ADP
bracis-28384	16	3	the	the	DET
bracis-28384	16	4	rapid	rapid	ADJ
bracis-28384	16	5	growth	growth	NOUN
bracis-28384	16	6	of	of	ADP
bracis-28384	16	7	electronic	electronic	ADJ
bracis-28384	16	8	information	information	NOUN
bracis-28384	16	9	,	,	PUNCT
bracis-28384	16	10	most	most	ADJ
bracis-28384	16	11	health	health	NOUN
bracis-28384	16	12	information	information	NOUN
bracis-28384	16	13	about	about	ADP
bracis-28384	16	14	patients	patient	NOUN
bracis-28384	16	15	is	be	AUX
bracis-28384	16	16	found	find	VERB
bracis-28384	16	17	as	as	ADP
bracis-28384	16	18	unstructured	unstructured	ADJ
bracis-28384	16	19	data	datum	NOUN
bracis-28384	16	20	,	,	PUNCT
bracis-28384	16	21	i.e.	i.e.	X
bracis-28384	16	22	,	,	PUNCT
bracis-28384	16	23	narrative	narrative	ADJ
bracis-28384	16	24	text	text	NOUN
bracis-28384	16	25	or	or	CCONJ
bracis-28384	16	26	free	free	ADJ
bracis-28384	16	27	text	text	NOUN
bracis-28384	16	28	[	[	X
bracis-28384	16	29	3	3	NUM
bracis-28384	16	30	]	]	PUNCT
bracis-28384	16	31	.	.	PUNCT
bracis-28384	17	1	therefore	therefore	ADV
bracis-28384	17	2	,	,	PUNCT
bracis-28384	17	3	the	the	DET
bracis-28384	17	4	unstructured	unstructured	ADJ
bracis-28384	17	5	format	format	NOUN
bracis-28384	17	6	of	of	ADP
bracis-28384	17	7	the	the	DET
bracis-28384	17	8	enormous	enormous	ADJ
bracis-28384	17	9	amount	amount	NOUN
bracis-28384	17	10	of	of	ADP
bracis-28384	17	11	medical	medical	ADJ
bracis-28384	17	12	data	data	NOUN
bracis-28384	17	13	is	be	AUX
bracis-28384	17	14	the	the	DET
bracis-28384	17	15	primary	primary	ADJ
bracis-28384	17	16	motive	motive	NOUN
bracis-28384	17	17	of	of	ADP
bracis-28384	17	18	recent	recent	ADJ
bracis-28384	17	19	research	research	NOUN
bracis-28384	17	20	initiatives	initiative	NOUN
bracis-28384	17	21	aiming	aim	VERB
bracis-28384	17	22	to	to	PART
bracis-28384	17	23	extract	extract	VERB
bracis-28384	17	24	information	information	NOUN
bracis-28384	17	25	from	from	ADP
bracis-28384	17	26	medical	medical	ADJ
bracis-28384	17	27	notes	note	NOUN
bracis-28384	17	28	[	[	X
bracis-28384	17	29	6,7,8,9	6,7,8,9	NUM
bracis-28384	17	30	]	]	PUNCT
bracis-28384	17	31	.	.	PUNCT
bracis-28384	18	1	considering	consider	VERB
bracis-28384	18	2	these	these	DET
bracis-28384	18	3	challenges	challenge	NOUN
bracis-28384	18	4	,	,	PUNCT
bracis-28384	18	5	tools	tool	NOUN
bracis-28384	18	6	are	be	AUX
bracis-28384	18	7	needed	need	VERB
bracis-28384	18	8	to	to	PART
bracis-28384	18	9	support	support	VERB
bracis-28384	18	10	healthcare	healthcare	NOUN
bracis-28384	18	11	professionals	professional	NOUN
bracis-28384	18	12	in	in	ADP
bracis-28384	18	13	their	their	PRON
bracis-28384	18	14	activities	activity	NOUN
bracis-28384	18	15	beyond	beyond	ADP
bracis-28384	18	16	a	a	DET
bracis-28384	18	17	healthcare	healthcare	NOUN
bracis-28384	18	18	system	system	NOUN
bracis-28384	18	19	’s	’s	PART
bracis-28384	18	20	restructuring	restructuring	NOUN
bracis-28384	18	21	.	.	PUNCT
bracis-28384	19	1	clinical	clinical	ADJ
bracis-28384	19	2	decision	decision	NOUN
bracis-28384	19	3	support	support	NOUN
bracis-28384	19	4	systems	system	NOUN
bracis-28384	19	5	(	(	PUNCT
bracis-28384	19	6	cdss	cdss	NOUN
bracis-28384	19	7	)	)	PUNCT
bracis-28384	19	8	provide	provide	VERB
bracis-28384	19	9	additional	additional	ADJ
bracis-28384	19	10	assistance	assistance	NOUN
bracis-28384	19	11	,	,	PUNCT
bracis-28384	19	12	synthesizing	synthesize	VERB
bracis-28384	19	13	and	and	CCONJ
bracis-28384	19	14	integrating	integrate	VERB
bracis-28384	19	15	patient	patient	NOUN
bracis-28384	19	16	-	-	PUNCT
bracis-28384	19	17	specific	specific	ADJ
bracis-28384	19	18	information	information	NOUN
bracis-28384	19	19	,	,	PUNCT
bracis-28384	19	20	performing	perform	VERB
bracis-28384	19	21	complex	complex	ADJ
bracis-28384	19	22	evaluations	evaluation	NOUN
bracis-28384	19	23	,	,	PUNCT
bracis-28384	19	24	and	and	CCONJ
bracis-28384	19	25	presenting	present	VERB
bracis-28384	19	26	the	the	DET
bracis-28384	19	27	results	result	NOUN
bracis-28384	19	28	to	to	ADP
bracis-28384	19	29	clinicians	clinician	NOUN
bracis-28384	19	30	in	in	ADP
bracis-28384	19	31	an	an	DET
bracis-28384	19	32	adequate	adequate	ADJ
bracis-28384	19	33	time	time	NOUN
bracis-28384	19	34	[	[	X
bracis-28384	19	35	10	10	NUM
bracis-28384	19	36	]	]	PUNCT
bracis-28384	19	37	.	.	PUNCT
bracis-28384	20	1	in	in	ADP
bracis-28384	20	2	addition	addition	NOUN
bracis-28384	20	3	,	,	PUNCT
bracis-28384	20	4	cdss	cdss	NOUN
bracis-28384	20	5	offers	offer	VERB
bracis-28384	20	6	assistance	assistance	NOUN
bracis-28384	20	7	to	to	PART
bracis-28384	20	8	overcome	overcome	VERB
bracis-28384	20	9	the	the	DET
bracis-28384	20	10	difficulties	difficulty	NOUN
bracis-28384	20	11	in	in	ADP
bracis-28384	20	12	dealing	deal	VERB
bracis-28384	20	13	with	with	ADP
bracis-28384	20	14	massive	massive	ADJ
bracis-28384	20	15	amounts	amount	NOUN
bracis-28384	20	16	of	of	ADP
bracis-28384	20	17	information	information	NOUN
bracis-28384	20	18	[	[	X
bracis-28384	20	19	11,12,13	11,12,13	NUM
bracis-28384	20	20	]	]	PUNCT
bracis-28384	20	21	.	.	PUNCT
bracis-28384	21	1	this	this	DET
bracis-28384	21	2	work	work	NOUN
bracis-28384	21	3	focuses	focus	VERB
bracis-28384	21	4	on	on	ADP
bracis-28384	21	5	the	the	DET
bracis-28384	21	6	text	text	NOUN
bracis-28384	21	7	classification	classification	NOUN
bracis-28384	21	8	task	task	NOUN
bracis-28384	21	9	,	,	PUNCT
bracis-28384	21	10	covering	cover	VERB
bracis-28384	21	11	the	the	DET
bracis-28384	21	12	steps	step	NOUN
bracis-28384	21	13	to	to	PART
bracis-28384	21	14	create	create	VERB
bracis-28384	21	15	and	and	CCONJ
bracis-28384	21	16	process	process	VERB
bracis-28384	21	17	a	a	DET
bracis-28384	21	18	clinical	clinical	ADJ
bracis-28384	21	19	corpus	corpus	NOUN
bracis-28384	21	20	for	for	ADP
bracis-28384	21	21	the	the	DET
bracis-28384	21	22	experiments	experiment	NOUN
bracis-28384	21	23	and	and	CCONJ
bracis-28384	21	24	comparing	compare	VERB
bracis-28384	21	25	evaluations	evaluation	NOUN
bracis-28384	21	26	with	with	ADP
bracis-28384	21	27	machine	machine	NOUN
bracis-28384	21	28	learning	learning	NOUN
bracis-28384	21	29	and	and	CCONJ
bracis-28384	21	30	deep	deep	ADJ
bracis-28384	21	31	learning	learning	NOUN
bracis-28384	21	32	approaches	approach	NOUN
bracis-28384	21	33	.	.	PUNCT
bracis-28384	22	1	an	an	DET
bracis-28384	22	2	oncology	oncology	NOUN
bracis-28384	22	3	clinical	clinical	ADJ
bracis-28384	22	4	notes	note	NOUN
bracis-28384	22	5	corpus	corpus	NOUN
bracis-28384	22	6	was	be	AUX
bracis-28384	22	7	created	create	VERB
bracis-28384	22	8	,	,	PUNCT
bracis-28384	22	9	preprocessed	preprocesse	VERB
bracis-28384	22	10	,	,	PUNCT
bracis-28384	22	11	and	and	CCONJ
bracis-28384	22	12	transformed	transform	VERB
bracis-28384	22	13	to	to	PART
bracis-28384	22	14	be	be	AUX
bracis-28384	22	15	used	use	VERB
bracis-28384	22	16	by	by	ADP
bracis-28384	22	17	machine	machine	NOUN
bracis-28384	22	18	learning	learning	NOUN
bracis-28384	22	19	and	and	CCONJ
bracis-28384	22	20	deep	deep	ADJ
bracis-28384	22	21	learning	learning	NOUN
bracis-28384	22	22	methods	method	NOUN
bracis-28384	22	23	.	.	PUNCT
bracis-28384	23	1	this	this	DET
bracis-28384	23	2	corpus	corpus	NOUN
bracis-28384	23	3	was	be	AUX
bracis-28384	23	4	obtained	obtain	VERB
bracis-28384	23	5	from	from	ADP
bracis-28384	23	6	a	a	DET
bracis-28384	23	7	real	real	ADJ
bracis-28384	23	8	-	-	PUNCT
bracis-28384	23	9	world	world	NOUN
bracis-28384	23	10	oncology	oncology	NOUN
bracis-28384	23	11	clinic	clinic	NOUN
bracis-28384	23	12	,	,	PUNCT
bracis-28384	23	13	de	de	VERB
bracis-28384	23	14	-	-	VERB
bracis-28384	23	15	identified	identify	VERB
bracis-28384	23	16	to	to	PART
bracis-28384	23	17	preserve	preserve	VERB
bracis-28384	23	18	the	the	DET
bracis-28384	23	19	patient	patient	ADJ
bracis-28384	23	20	and	and	CCONJ
bracis-28384	23	21	professional	professional	NOUN
bracis-28384	23	22	’s	’s	PART
bracis-28384	23	23	identification	identification	NOUN
bracis-28384	23	24	,	,	PUNCT
bracis-28384	23	25	and	and	CCONJ
bracis-28384	23	26	is	be	AUX
bracis-28384	23	27	entirely	entirely	ADV
bracis-28384	23	28	composed	compose	VERB
bracis-28384	23	29	of	of	ADP
bracis-28384	23	30	brazilian	brazilian	ADJ
bracis-28384	23	31	portuguese	portuguese	ADJ
bracis-28384	23	32	language	language	NOUN
bracis-28384	23	33	texts	text	NOUN
bracis-28384	23	34	.	.	PUNCT
bracis-28384	24	1	in	in	ADP
bracis-28384	24	2	addition	addition	NOUN
bracis-28384	24	3	,	,	PUNCT
bracis-28384	24	4	this	this	DET
bracis-28384	24	5	work	work	NOUN
bracis-28384	24	6	implemented	implement	VERB
bracis-28384	24	7	several	several	ADJ
bracis-28384	24	8	machine	machine	NOUN
bracis-28384	24	9	learning	learning	NOUN
bracis-28384	24	10	and	and	CCONJ
bracis-28384	24	11	deep	deep	ADJ
bracis-28384	24	12	learning	learning	NOUN
bracis-28384	24	13	methods	method	NOUN
bracis-28384	24	14	for	for	ADP
bracis-28384	24	15	text	text	NOUN
bracis-28384	24	16	classification	classification	NOUN
bracis-28384	24	17	,	,	PUNCT
bracis-28384	24	18	compared	compare	VERB
bracis-28384	24	19	their	their	PRON
bracis-28384	24	20	performance	performance	NOUN
bracis-28384	24	21	,	,	PUNCT
bracis-28384	24	22	and	and	CCONJ
bracis-28384	24	23	evaluated	evaluate	VERB
bracis-28384	24	24	their	their	PRON
bracis-28384	24	25	results	result	NOUN
bracis-28384	24	26	.	.	PUNCT
bracis-28384	25	1	related	relate	VERB
bracis-28384	25	2	works	work	NOUN
bracis-28384	25	3	about	about	ADP
bracis-28384	25	4	text	text	NOUN
bracis-28384	25	5	classification	classification	NOUN
bracis-28384	25	6	and	and	CCONJ
bracis-28384	25	7	information	information	NOUN
bracis-28384	25	8	extraction	extraction	NOUN
bracis-28384	25	9	methods	method	NOUN
bracis-28384	25	10	in	in	ADP
bracis-28384	25	11	oncology	oncology	NOUN
bracis-28384	25	12	clinical	clinical	ADJ
bracis-28384	25	13	notes	note	NOUN
bracis-28384	25	14	were	be	AUX
bracis-28384	25	15	studied	study	VERB
bracis-28384	25	16	to	to	PART
bracis-28384	25	17	understand	understand	VERB
bracis-28384	25	18	how	how	SCONJ
bracis-28384	25	19	to	to	PART
bracis-28384	25	20	better	well	ADV
bracis-28384	25	21	deal	deal	VERB
bracis-28384	25	22	with	with	ADP
bracis-28384	25	23	unstructured	unstructured	ADJ
bracis-28384	25	24	data	datum	NOUN
bracis-28384	25	25	.	.	PUNCT
bracis-28384	26	1	the	the	DET
bracis-28384	26	2	papers	paper	NOUN
bracis-28384	26	3	used	use	VERB
bracis-28384	26	4	one	one	NUM
bracis-28384	26	5	or	or	CCONJ
bracis-28384	26	6	a	a	DET
bracis-28384	26	7	combination	combination	NOUN
bracis-28384	26	8	of	of	ADP
bracis-28384	26	9	natural	natural	ADJ
bracis-28384	26	10	language	language	NOUN
bracis-28384	26	11	processing	processing	NOUN
bracis-28384	26	12	(	(	PUNCT
bracis-28384	26	13	nlp	nlp	NOUN
bracis-28384	26	14	)	)	PUNCT
bracis-28384	26	15	,	,	PUNCT
bracis-28384	26	16	machine	machine	NOUN
bracis-28384	26	17	learning	learning	NOUN
bracis-28384	26	18	,	,	PUNCT
bracis-28384	26	19	and	and	CCONJ
bracis-28384	26	20	deep	deep	ADJ
bracis-28384	26	21	learning	learning	NOUN
bracis-28384	26	22	methods	method	NOUN
bracis-28384	26	23	.	.	PUNCT
bracis-28384	27	1	the	the	DET
bracis-28384	27	2	related	relate	VERB
bracis-28384	27	3	works	work	NOUN
bracis-28384	27	4	study	study	NOUN
bracis-28384	27	5	indicates	indicate	VERB
bracis-28384	27	6	text	text	NOUN
bracis-28384	27	7	classification	classification	NOUN
bracis-28384	27	8	and	and	CCONJ
bracis-28384	27	9	information	information	NOUN
bracis-28384	27	10	extraction	extraction	NOUN
bracis-28384	27	11	as	as	ADP
bracis-28384	27	12	essential	essential	ADJ
bracis-28384	27	13	tasks	task	NOUN
bracis-28384	27	14	to	to	PART
bracis-28384	27	15	deal	deal	VERB
bracis-28384	27	16	with	with	ADP
bracis-28384	27	17	unstructured	unstructured	ADJ
bracis-28384	27	18	data	datum	NOUN
bracis-28384	27	19	in	in	ADP
bracis-28384	27	20	healthcare	healthcare	PROPN
bracis-28384	27	21	.	.	PUNCT
bracis-28384	28	1	several	several	ADJ
bracis-28384	28	2	related	relate	VERB
bracis-28384	28	3	works	work	NOUN
bracis-28384	28	4	used	use	VERB
bracis-28384	28	5	domain	domain	NOUN
bracis-28384	28	6	-	-	PUNCT
bracis-28384	28	7	specific	specific	ADJ
bracis-28384	28	8	corpora	corpora	NOUN
bracis-28384	28	9	.	.	PUNCT
bracis-28384	29	1	however	however	ADV
bracis-28384	29	2	,	,	PUNCT
bracis-28384	29	3	none	none	NOUN
bracis-28384	29	4	used	use	VERB
bracis-28384	29	5	a	a	DET
bracis-28384	29	6	corpus	corpus	NOUN
bracis-28384	29	7	with	with	ADP
bracis-28384	29	8	non	non	ADJ
bracis-28384	29	9	-	-	ADJ
bracis-28384	29	10	synthetic	synthetic	ADJ
bracis-28384	29	11	medical	medical	ADJ
bracis-28384	29	12	notes	note	NOUN
bracis-28384	29	13	from	from	ADP
bracis-28384	29	14	the	the	DET
bracis-28384	29	15	oncology	oncology	NOUN
bracis-28384	29	16	healthcare	healthcare	NOUN
bracis-28384	29	17	-	-	PUNCT
bracis-28384	29	18	specific	specific	ADJ
bracis-28384	29	19	domain	domain	NOUN
bracis-28384	29	20	in	in	ADP
bracis-28384	29	21	the	the	DET
bracis-28384	29	22	brazilian	brazilian	ADJ
bracis-28384	29	23	portuguese	portuguese	ADJ
bracis-28384	29	24	language	language	NOUN
bracis-28384	29	25	.	.	PUNCT
bracis-28384	30	1	furthermore	furthermore	ADV
bracis-28384	30	2	,	,	PUNCT
bracis-28384	30	3	most	most	ADJ
bracis-28384	30	4	papers	paper	NOUN
bracis-28384	30	5	used	use	VERB
bracis-28384	30	6	machine	machine	NOUN
bracis-28384	30	7	learning	learning	NOUN
bracis-28384	30	8	or	or	CCONJ
bracis-28384	30	9	deep	deep	ADJ
bracis-28384	30	10	learning	learning	NOUN
bracis-28384	30	11	methods	method	NOUN
bracis-28384	30	12	to	to	PART
bracis-28384	30	13	consider	consider	VERB
bracis-28384	30	14	the	the	DET
bracis-28384	30	15	text	text	NOUN
bracis-28384	30	16	classification	classification	NOUN
bracis-28384	30	17	task	task	NOUN
bracis-28384	30	18	.	.	PUNCT
bracis-28384	31	1	just	just	ADV
bracis-28384	31	2	a	a	DET
bracis-28384	31	3	few	few	ADJ
bracis-28384	31	4	of	of	ADP
bracis-28384	31	5	them	they	PRON
bracis-28384	31	6	presented	present	VERB
bracis-28384	31	7	a	a	DET
bracis-28384	31	8	comparison	comparison	NOUN
bracis-28384	31	9	between	between	ADP
bracis-28384	31	10	several	several	ADJ
bracis-28384	31	11	machine	machine	NOUN
bracis-28384	31	12	learning	learning	NOUN
bracis-28384	31	13	and	and	CCONJ
bracis-28384	31	14	deep	deep	ADJ
bracis-28384	31	15	learning	learning	NOUN
bracis-28384	31	16	methods	method	NOUN
bracis-28384	31	17	.	.	PUNCT
bracis-28384	32	1	therefore	therefore	ADV
bracis-28384	32	2	,	,	PUNCT
bracis-28384	32	3	the	the	DET
bracis-28384	32	4	main	main	ADJ
bracis-28384	32	5	objective	objective	NOUN
bracis-28384	32	6	of	of	ADP
bracis-28384	32	7	this	this	DET
bracis-28384	32	8	work	work	NOUN
bracis-28384	32	9	consists	consist	VERB
bracis-28384	32	10	of	of	ADP
bracis-28384	32	11	applying	apply	VERB
bracis-28384	32	12	text	text	NOUN
bracis-28384	32	13	classification	classification	NOUN
bracis-28384	32	14	approaches	approach	NOUN
bracis-28384	32	15	to	to	PART
bracis-28384	32	16	support	support	VERB
bracis-28384	32	17	healthcare	healthcare	NOUN
bracis-28384	32	18	professionals	professional	NOUN
bracis-28384	32	19	regarding	regard	VERB
bracis-28384	32	20	diagnosis	diagnosis	NOUN
bracis-28384	32	21	decisions	decision	NOUN
bracis-28384	32	22	.	.	PUNCT
bracis-28384	33	1	the	the	DET
bracis-28384	33	2	survey	survey	NOUN
bracis-28384	33	3	provided	provide	VERB
bracis-28384	33	4	insight	insight	NOUN
bracis-28384	33	5	into	into	ADP
bracis-28384	33	6	crucial	crucial	ADJ
bracis-28384	33	7	aspects	aspect	NOUN
bracis-28384	33	8	of	of	ADP
bracis-28384	33	9	the	the	DET
bracis-28384	33	10	area	area	NOUN
bracis-28384	33	11	,	,	PUNCT
bracis-28384	33	12	such	such	ADJ
bracis-28384	33	13	as	as	ADP
bracis-28384	33	14	that	that	DET
bracis-28384	33	15	patients	patient	NOUN
bracis-28384	33	16	’	'	PUNCT
bracis-28384	33	17	clinical	clinical	ADJ
bracis-28384	33	18	data	datum	NOUN
bracis-28384	33	19	are	be	AUX
bracis-28384	33	20	often	often	ADV
bracis-28384	33	21	inputted	inputte	VERB
bracis-28384	33	22	in	in	ADP
bracis-28384	33	23	a	a	DET
bracis-28384	33	24	free	free	ADJ
bracis-28384	33	25	-	-	PUNCT
bracis-28384	33	26	text	text	NOUN
bracis-28384	33	27	format	format	NOUN
bracis-28384	33	28	.	.	PUNCT
bracis-28384	34	1	there	there	PRON
bracis-28384	34	2	was	be	VERB
bracis-28384	34	3	a	a	DET
bracis-28384	34	4	lack	lack	NOUN
bracis-28384	34	5	of	of	ADP
bracis-28384	34	6	structured	structured	ADJ
bracis-28384	34	7	data	data	NOUN
bracis-28384	34	8	repositories	repository	NOUN
bracis-28384	34	9	on	on	ADP
bracis-28384	34	10	this	this	DET
bracis-28384	34	11	topic	topic	NOUN
bracis-28384	34	12	.	.	PUNCT
bracis-28384	35	1	this	this	DET
bracis-28384	35	2	topic	topic	NOUN
bracis-28384	35	3	was	be	AUX
bracis-28384	35	4	described	describe	VERB
bracis-28384	35	5	as	as	ADP
bracis-28384	35	6	an	an	DET
bracis-28384	35	7	essential	essential	ADJ
bracis-28384	35	8	problem	problem	NOUN
bracis-28384	35	9	in	in	ADP
bracis-28384	35	10	most	most	ADJ
bracis-28384	35	11	studied	study	VERB
bracis-28384	35	12	papers	paper	NOUN
bracis-28384	35	13	considering	consider	VERB
bracis-28384	35	14	that	that	SCONJ
bracis-28384	35	15	cdss	cdss	PROPN
bracis-28384	35	16	needs	need	VERB
bracis-28384	35	17	data	datum	NOUN
bracis-28384	35	18	in	in	ADP
bracis-28384	35	19	a	a	DET
bracis-28384	35	20	structured	structured	ADJ
bracis-28384	35	21	format	format	NOUN
bracis-28384	35	22	.	.	PUNCT
bracis-28384	36	1	the	the	DET
bracis-28384	36	2	corpora	corpora	PROPN
bracis-28384	36	3	creation	creation	NOUN
bracis-28384	36	4	is	be	AUX
bracis-28384	36	5	an	an	DET
bracis-28384	36	6	essential	essential	ADJ
bracis-28384	36	7	element	element	NOUN
bracis-28384	36	8	in	in	ADP
bracis-28384	36	9	this	this	DET
bracis-28384	36	10	research	research	NOUN
bracis-28384	36	11	and	and	CCONJ
bracis-28384	36	12	constitutes	constitute	VERB
bracis-28384	36	13	one	one	NUM
bracis-28384	36	14	of	of	ADP
bracis-28384	36	15	the	the	DET
bracis-28384	36	16	contributions	contribution	NOUN
bracis-28384	36	17	of	of	ADP
bracis-28384	36	18	this	this	DET
bracis-28384	36	19	work	work	NOUN
bracis-28384	36	20	because	because	SCONJ
bracis-28384	36	21	it	it	PRON
bracis-28384	36	22	was	be	AUX
bracis-28384	36	23	created	create	VERB
bracis-28384	36	24	from	from	ADP
bracis-28384	36	25	non	non	ADJ
bracis-28384	36	26	-	-	ADJ
bracis-28384	36	27	synthetic	synthetic	ADJ
bracis-28384	36	28	data	datum	NOUN
bracis-28384	36	29	with	with	ADP
bracis-28384	36	30	specific	specific	ADJ
bracis-28384	36	31	preprocessing	preprocessing	NOUN
bracis-28384	36	32	needs	need	NOUN
bracis-28384	36	33	.	.	PUNCT
bracis-28384	37	1	other	other	ADJ
bracis-28384	37	2	contributions	contribution	NOUN
bracis-28384	37	3	presented	present	VERB
bracis-28384	37	4	in	in	ADP
bracis-28384	37	5	this	this	DET
bracis-28384	37	6	work	work	NOUN
bracis-28384	37	7	are	be	AUX
bracis-28384	37	8	the	the	DET
bracis-28384	37	9	corpus	corpus	X
bracis-28384	37	10	de	de	NOUN
bracis-28384	37	11	-	-	NOUN
bracis-28384	37	12	identification	identification	NOUN
bracis-28384	37	13	and	and	CCONJ
bracis-28384	37	14	enrichment	enrichment	NOUN
bracis-28384	37	15	process	process	NOUN
bracis-28384	37	16	,	,	PUNCT
bracis-28384	37	17	described	describe	VERB
bracis-28384	37	18	in	in	ADP
bracis-28384	37	19	the	the	DET
bracis-28384	37	20	following	follow	VERB
bracis-28384	37	21	sections	section	NOUN
bracis-28384	37	22	.	.	PUNCT
bracis-28384	38	1	the	the	DET
bracis-28384	38	2	evaluation	evaluation	NOUN
bracis-28384	38	3	and	and	CCONJ
bracis-28384	38	4	performance	performance	NOUN
bracis-28384	38	5	comparison	comparison	NOUN
bracis-28384	38	6	of	of	ADP
bracis-28384	38	7	several	several	ADJ
bracis-28384	38	8	machine	machine	NOUN
bracis-28384	38	9	learning	learning	NOUN
bracis-28384	38	10	and	and	CCONJ
bracis-28384	38	11	deep	deep	ADJ
bracis-28384	38	12	learning	learning	NOUN
bracis-28384	38	13	classifiers	classifier	NOUN
bracis-28384	38	14	also	also	ADV
bracis-28384	38	15	brings	bring	VERB
bracis-28384	38	16	contributions	contribution	NOUN
bracis-28384	38	17	from	from	ADP
bracis-28384	38	18	this	this	DET
bracis-28384	38	19	work	work	NOUN
bracis-28384	38	20	.	.	PUNCT
bracis-28384	39	1	2	2	NUM
bracis-28384	39	2	material	material	NOUN
bracis-28384	39	3	and	and	CCONJ
bracis-28384	39	4	 	 	SPACE
bracis-28384	39	5	methods	method	NOUN
bracis-28384	39	6	this	this	DET
bracis-28384	39	7	section	section	NOUN
bracis-28384	39	8	presents	present	VERB
bracis-28384	39	9	the	the	DET
bracis-28384	39	10	methodological	methodological	ADJ
bracis-28384	39	11	aspects	aspect	NOUN
bracis-28384	39	12	adopted	adopt	VERB
bracis-28384	39	13	in	in	ADP
bracis-28384	39	14	this	this	DET
bracis-28384	39	15	work	work	NOUN
bracis-28384	39	16	.	.	PUNCT
bracis-28384	40	1	this	this	DET
bracis-28384	40	2	work	work	NOUN
bracis-28384	40	3	aims	aim	VERB
bracis-28384	40	4	to	to	PART
bracis-28384	40	5	evaluate	evaluate	VERB
bracis-28384	40	6	text	text	NOUN
bracis-28384	40	7	classification	classification	NOUN
bracis-28384	40	8	techniques	technique	NOUN
bracis-28384	40	9	to	to	PART
bracis-28384	40	10	support	support	VERB
bracis-28384	40	11	health	health	NOUN
bracis-28384	40	12	professionals	professional	NOUN
bracis-28384	40	13	’	'	PUNCT
bracis-28384	40	14	needs	need	NOUN
bracis-28384	40	15	regarding	regard	VERB
bracis-28384	40	16	diagnosis	diagnosis	NOUN
bracis-28384	40	17	decisions	decision	NOUN
bracis-28384	40	18	.	.	PUNCT
bracis-28384	41	1	therefore	therefore	ADV
bracis-28384	41	2	,	,	PUNCT
bracis-28384	41	3	text	text	NOUN
bracis-28384	41	4	classification	classification	NOUN
bracis-28384	41	5	experiments	experiment	NOUN
bracis-28384	41	6	were	be	AUX
bracis-28384	41	7	conducted	conduct	VERB
bracis-28384	41	8	using	use	VERB
bracis-28384	41	9	machine	machine	NOUN
bracis-28384	41	10	learning	learning	NOUN
bracis-28384	41	11	and	and	CCONJ
bracis-28384	41	12	deep	deep	ADJ
bracis-28384	41	13	learning	learning	NOUN
bracis-28384	41	14	approaches	approach	NOUN
bracis-28384	41	15	.	.	PUNCT
bracis-28384	42	1	these	these	DET
bracis-28384	42	2	techniques	technique	NOUN
bracis-28384	42	3	were	be	AUX
bracis-28384	42	4	applied	apply	VERB
bracis-28384	42	5	in	in	ADP
bracis-28384	42	6	brazilian	brazilian	ADJ
bracis-28384	42	7	portuguese	portuguese	ADJ
bracis-28384	42	8	clinical	clinical	ADJ
bracis-28384	42	9	notes	note	NOUN
bracis-28384	42	10	corpora	corpora	PROPN
bracis-28384	42	11	obtained	obtain	VERB
bracis-28384	42	12	from	from	ADP
bracis-28384	42	13	an	an	DET
bracis-28384	42	14	ehr	ehr	NOUN
bracis-28384	42	15	system	system	NOUN
bracis-28384	42	16	in	in	ADP
bracis-28384	42	17	the	the	DET
bracis-28384	42	18	oncology	oncology	NOUN
bracis-28384	42	19	domain	domain	NOUN
bracis-28384	42	20	.	.	PUNCT
bracis-28384	43	1	figure	figure	NOUN
bracis-28384	43	2	 	 	SPACE
bracis-28384	43	3	1	1	NUM
bracis-28384	43	4	shows	show	VERB
bracis-28384	43	5	the	the	DET
bracis-28384	43	6	general	general	ADJ
bracis-28384	43	7	view	view	NOUN
bracis-28384	43	8	containing	contain	VERB
bracis-28384	43	9	the	the	DET
bracis-28384	43	10	elements	element	NOUN
bracis-28384	43	11	of	of	ADP
bracis-28384	43	12	the	the	DET
bracis-28384	43	13	proposed	propose	VERB
bracis-28384	43	14	approach	approach	NOUN
bracis-28384	43	15	for	for	ADP
bracis-28384	43	16	this	this	DET
bracis-28384	43	17	work	work	NOUN
bracis-28384	43	18	.	.	PUNCT
bracis-28384	44	1	this	this	DET
bracis-28384	44	2	context	context	NOUN
bracis-28384	44	3	is	be	AUX
bracis-28384	44	4	derived	derive	VERB
bracis-28384	44	5	from	from	ADP
bracis-28384	44	6	real	real	ADJ
bracis-28384	44	7	-	-	PUNCT
bracis-28384	44	8	world	world	NOUN
bracis-28384	44	9	observation	observation	NOUN
bracis-28384	44	10	,	,	PUNCT
bracis-28384	44	11	considering	consider	VERB
bracis-28384	44	12	actual	actual	ADJ
bracis-28384	44	13	medical	medical	ADJ
bracis-28384	44	14	clinics	clinic	NOUN
bracis-28384	44	15	,	,	PUNCT
bracis-28384	44	16	and	and	CCONJ
bracis-28384	44	17	expresses	express	VERB
bracis-28384	44	18	health	health	NOUN
bracis-28384	44	19	professional	professional	ADJ
bracis-28384	44	20	needs	need	NOUN
bracis-28384	44	21	.	.	PUNCT
bracis-28384	45	1	fig	fig	NOUN
bracis-28384	45	2	.	.	PUNCT
bracis-28384	46	1	1	1	X
bracis-28384	46	2	.	.	X
bracis-28384	46	3	general	general	ADJ
bracis-28384	46	4	view	view	NOUN
bracis-28384	46	5	of	of	ADP
bracis-28384	46	6	the	the	DET
bracis-28384	46	7	approach	approach	NOUN
bracis-28384	46	8	full	full	ADJ
bracis-28384	46	9	size	size	NOUN
bracis-28384	46	10	image	image	NOUN
bracis-28384	46	11	the	the	DET
bracis-28384	46	12	overall	overall	ADJ
bracis-28384	46	13	process	process	NOUN
bracis-28384	46	14	starts	start	VERB
bracis-28384	46	15	with	with	ADP
bracis-28384	46	16	the	the	DET
bracis-28384	46	17	creation	creation	NOUN
bracis-28384	46	18	of	of	ADP
bracis-28384	46	19	a	a	DET
bracis-28384	46	20	record	record	NOUN
bracis-28384	46	21	of	of	ADP
bracis-28384	46	22	a	a	DET
bracis-28384	46	23	medical	medical	ADJ
bracis-28384	46	24	note	note	NOUN
bracis-28384	46	25	by	by	ADP
bracis-28384	46	26	the	the	DET
bracis-28384	46	27	healthcare	healthcare	PROPN
bracis-28384	46	28	professional	professional	NOUN
bracis-28384	46	29	.	.	PUNCT
bracis-28384	47	1	this	this	DET
bracis-28384	47	2	situation	situation	NOUN
bracis-28384	47	3	generates	generate	VERB
bracis-28384	47	4	textual	textual	ADJ
bracis-28384	47	5	medical	medical	ADJ
bracis-28384	47	6	records	record	NOUN
bracis-28384	47	7	and	and	CCONJ
bracis-28384	47	8	structured	structure	VERB
bracis-28384	47	9	clinical	clinical	ADJ
bracis-28384	47	10	information	information	NOUN
bracis-28384	47	11	in	in	ADP
bracis-28384	47	12	the	the	DET
bracis-28384	47	13	real	real	ADJ
bracis-28384	47	14	-	-	PUNCT
bracis-28384	47	15	world	world	NOUN
bracis-28384	47	16	observed	observe	VERB
bracis-28384	47	17	cases	case	NOUN
bracis-28384	47	18	.	.	PUNCT
bracis-28384	48	1	in	in	ADP
bracis-28384	48	2	this	this	DET
bracis-28384	48	3	step	step	NOUN
bracis-28384	48	4	,	,	PUNCT
bracis-28384	48	5	the	the	DET
bracis-28384	48	6	healthcare	healthcare	NOUN
bracis-28384	48	7	professionals	professional	NOUN
bracis-28384	48	8	use	use	VERB
bracis-28384	48	9	the	the	DET
bracis-28384	48	10	oncology	oncology	NOUN
bracis-28384	48	11	ehr	ehr	NOUN
bracis-28384	48	12	system	system	NOUN
bracis-28384	48	13	[	[	X
bracis-28384	48	14	14	14	NUM
bracis-28384	48	15	]	]	PUNCT
bracis-28384	48	16	to	to	PART
bracis-28384	48	17	input	input	VERB
bracis-28384	48	18	their	their	PRON
bracis-28384	48	19	observations	observation	NOUN
bracis-28384	48	20	about	about	ADP
bracis-28384	48	21	the	the	DET
bracis-28384	48	22	patient	patient	NOUN
bracis-28384	48	23	,	,	PUNCT
bracis-28384	48	24	which	which	PRON
bracis-28384	48	25	are	be	AUX
bracis-28384	48	26	recorded	record	VERB
bracis-28384	48	27	in	in	ADP
bracis-28384	48	28	the	the	DET
bracis-28384	48	29	system	system	NOUN
bracis-28384	48	30	’s	’s	PART
bracis-28384	48	31	database	database	NOUN
bracis-28384	48	32	.	.	PUNCT
bracis-28384	49	1	these	these	DET
bracis-28384	49	2	observations	observation	NOUN
bracis-28384	49	3	can	can	AUX
bracis-28384	49	4	be	be	AUX
bracis-28384	49	5	composed	compose	VERB
bracis-28384	49	6	of	of	ADP
bracis-28384	49	7	free	free	ADJ
bracis-28384	49	8	-	-	PUNCT
bracis-28384	49	9	text	text	NOUN
bracis-28384	49	10	and	and	CCONJ
bracis-28384	49	11	structured	structured	ADJ
bracis-28384	49	12	data	datum	NOUN
bracis-28384	49	13	,	,	PUNCT
bracis-28384	49	14	and	and	CCONJ
bracis-28384	49	15	both	both	DET
bracis-28384	49	16	data	datum	NOUN
bracis-28384	49	17	types	type	NOUN
bracis-28384	49	18	are	be	AUX
bracis-28384	49	19	used	use	VERB
bracis-28384	49	20	together	together	ADV
bracis-28384	49	21	to	to	PART
bracis-28384	49	22	achieve	achieve	VERB
bracis-28384	49	23	better	well	ADJ
bracis-28384	49	24	results	result	NOUN
bracis-28384	49	25	.	.	PUNCT
bracis-28384	50	1	the	the	DET
bracis-28384	50	2	upper	upper	ADJ
bracis-28384	50	3	part	part	NOUN
bracis-28384	50	4	of	of	ADP
bracis-28384	50	5	fig	fig	NOUN
bracis-28384	50	6	.	.	PUNCT
bracis-28384	50	7	 	 	SPACE
bracis-28384	50	8	1	1	NUM
bracis-28384	50	9	describes	describe	VERB
bracis-28384	50	10	the	the	DET
bracis-28384	50	11	primary	primary	ADJ
bracis-28384	50	12	steps	step	NOUN
bracis-28384	50	13	for	for	ADP
bracis-28384	50	14	exploring	explore	VERB
bracis-28384	50	15	possible	possible	ADJ
bracis-28384	50	16	answers	answer	NOUN
bracis-28384	50	17	to	to	ADP
bracis-28384	50	18	the	the	DET
bracis-28384	50	19	research	research	NOUN
bracis-28384	50	20	question	question	NOUN
bracis-28384	50	21	in	in	ADP
bracis-28384	50	22	this	this	DET
bracis-28384	50	23	work	work	NOUN
bracis-28384	50	24	.	.	PUNCT
bracis-28384	51	1	first	first	ADV
bracis-28384	51	2	,	,	PUNCT
bracis-28384	51	3	developing	develop	VERB
bracis-28384	51	4	a	a	DET
bracis-28384	51	5	flow	flow	NOUN
bracis-28384	51	6	of	of	ADP
bracis-28384	51	7	operations	operation	NOUN
bracis-28384	51	8	that	that	PRON
bracis-28384	51	9	starts	start	VERB
bracis-28384	51	10	with	with	ADP
bracis-28384	51	11	the	the	DET
bracis-28384	51	12	health	health	NOUN
bracis-28384	51	13	professional	professional	NOUN
bracis-28384	51	14	’s	’s	PART
bracis-28384	51	15	assistance	assistance	NOUN
bracis-28384	51	16	was	be	AUX
bracis-28384	51	17	evaluated	evaluate	VERB
bracis-28384	51	18	,	,	PUNCT
bracis-28384	51	19	as	as	SCONJ
bracis-28384	51	20	identified	identify	VERB
bracis-28384	51	21	in	in	ADP
bracis-28384	51	22	the	the	DET
bracis-28384	51	23	flow	flow	NOUN
bracis-28384	51	24	“	"	PUNCT
bracis-28384	51	25	load	load	VERB
bracis-28384	51	26	new	new	ADJ
bracis-28384	51	27	medical	medical	ADJ
bracis-28384	51	28	textual	textual	ADJ
bracis-28384	51	29	records	record	NOUN
bracis-28384	51	30	”	"	PUNCT
bracis-28384	51	31	used	use	VERB
bracis-28384	51	32	together	together	ADV
bracis-28384	51	33	with	with	ADP
bracis-28384	51	34	a	a	DET
bracis-28384	51	35	support	support	NOUN
bracis-28384	51	36	service	service	NOUN
bracis-28384	51	37	,	,	PUNCT
bracis-28384	51	38	applying	apply	VERB
bracis-28384	51	39	the	the	DET
bracis-28384	51	40	classification	classification	NOUN
bracis-28384	51	41	models	model	NOUN
bracis-28384	51	42	studied	study	VERB
bracis-28384	51	43	.	.	PUNCT
bracis-28384	52	1	the	the	DET
bracis-28384	52	2	application	application	NOUN
bracis-28384	52	3	of	of	ADP
bracis-28384	52	4	the	the	DET
bracis-28384	52	5	models	model	NOUN
bracis-28384	52	6	will	will	AUX
bracis-28384	52	7	generate	generate	VERB
bracis-28384	52	8	support	support	NOUN
bracis-28384	52	9	for	for	ADP
bracis-28384	52	10	determining	determine	VERB
bracis-28384	52	11	a	a	DET
bracis-28384	52	12	response	response	NOUN
bracis-28384	52	13	with	with	ADP
bracis-28384	52	14	suggestions	suggestion	NOUN
bracis-28384	52	15	for	for	ADP
bracis-28384	52	16	framing	frame	VERB
bracis-28384	52	17	and	and	CCONJ
bracis-28384	52	18	similar	similar	ADJ
bracis-28384	52	19	contexts	contexts	NOUN
bracis-28384	52	20	,	,	PUNCT
bracis-28384	52	21	as	as	SCONJ
bracis-28384	52	22	represented	represent	VERB
bracis-28384	52	23	by	by	ADP
bracis-28384	52	24	the	the	DET
bracis-28384	52	25	“	"	PUNCT
bracis-28384	52	26	diagnosis	diagnosis	NOUN
bracis-28384	52	27	and	and	CCONJ
bracis-28384	52	28	treatment	treatment	NOUN
bracis-28384	52	29	recommendation	recommendation	NOUN
bracis-28384	52	30	”	"	PUNCT
bracis-28384	52	31	flow	flow	NOUN
bracis-28384	52	32	that	that	PRON
bracis-28384	52	33	the	the	DET
bracis-28384	52	34	physician	physician	NOUN
bracis-28384	52	35	will	will	AUX
bracis-28384	52	36	use	use	VERB
bracis-28384	52	37	.	.	PUNCT
bracis-28384	53	1	the	the	DET
bracis-28384	53	2	generation	generation	NOUN
bracis-28384	53	3	of	of	ADP
bracis-28384	53	4	new	new	ADJ
bracis-28384	53	5	information	information	NOUN
bracis-28384	53	6	about	about	ADP
bracis-28384	53	7	each	each	DET
bracis-28384	53	8	patient	patient	NOUN
bracis-28384	53	9	’s	’s	PART
bracis-28384	53	10	clinical	clinical	ADJ
bracis-28384	53	11	event	event	NOUN
bracis-28384	53	12	is	be	AUX
bracis-28384	53	13	stored	store	VERB
bracis-28384	53	14	in	in	ADP
bracis-28384	53	15	the	the	DET
bracis-28384	53	16	oncology	oncology	NOUN
bracis-28384	53	17	ehr	ehr	NOUN
bracis-28384	53	18	system	system	NOUN
bracis-28384	53	19	’s	’s	PART
bracis-28384	53	20	database	database	NOUN
bracis-28384	53	21	,	,	PUNCT
bracis-28384	53	22	as	as	SCONJ
bracis-28384	53	23	indicated	indicate	VERB
bracis-28384	53	24	in	in	ADP
bracis-28384	53	25	the	the	DET
bracis-28384	53	26	“	"	PUNCT
bracis-28384	53	27	record	record	ADJ
bracis-28384	53	28	medical	medical	ADJ
bracis-28384	53	29	notes	note	NOUN
bracis-28384	53	30	”	"	PUNCT
bracis-28384	53	31	flow	flow	NOUN
bracis-28384	53	32	.	.	PUNCT
bracis-28384	54	1	this	this	DET
bracis-28384	54	2	initial	initial	ADJ
bracis-28384	54	3	flow	flow	NOUN
bracis-28384	54	4	consists	consist	VERB
bracis-28384	54	5	of	of	ADP
bracis-28384	54	6	a	a	DET
bracis-28384	54	7	vision	vision	NOUN
bracis-28384	54	8	of	of	ADP
bracis-28384	54	9	the	the	DET
bracis-28384	54	10	future	future	ADJ
bracis-28384	54	11	use	use	NOUN
bracis-28384	54	12	of	of	ADP
bracis-28384	54	13	the	the	DET
bracis-28384	54	14	system	system	NOUN
bracis-28384	54	15	by	by	ADP
bracis-28384	54	16	physicians	physician	NOUN
bracis-28384	54	17	and	and	CCONJ
bracis-28384	54	18	healthcare	healthcare	NOUN
bracis-28384	54	19	professionals	professional	NOUN
bracis-28384	54	20	.	.	PUNCT
bracis-28384	55	1	the	the	DET
bracis-28384	55	2	other	other	ADJ
bracis-28384	55	3	items	item	NOUN
bracis-28384	55	4	in	in	ADP
bracis-28384	55	5	fig	fig	NOUN
bracis-28384	55	6	.	.	PUNCT
bracis-28384	55	7	 	 	SPACE
bracis-28384	55	8	1	1	NUM
bracis-28384	55	9	were	be	AUX
bracis-28384	55	10	studied	study	VERB
bracis-28384	55	11	and	and	CCONJ
bracis-28384	55	12	experimented	experiment	VERB
bracis-28384	55	13	.	.	PUNCT
bracis-28384	56	1	the	the	DET
bracis-28384	56	2	first	first	ADJ
bracis-28384	56	3	necessary	necessary	ADJ
bracis-28384	56	4	step	step	NOUN
bracis-28384	56	5	to	to	PART
bracis-28384	56	6	generate	generate	VERB
bracis-28384	56	7	the	the	DET
bracis-28384	56	8	corpora	corpora	NOUN
bracis-28384	56	9	and	and	CCONJ
bracis-28384	56	10	to	to	PART
bracis-28384	56	11	use	use	VERB
bracis-28384	56	12	the	the	DET
bracis-28384	56	13	proposed	propose	VERB
bracis-28384	56	14	approach	approach	NOUN
bracis-28384	56	15	in	in	ADP
bracis-28384	56	16	the	the	DET
bracis-28384	56	17	future	future	NOUN
bracis-28384	56	18	was	be	AUX
bracis-28384	56	19	to	to	PART
bracis-28384	56	20	anonymize	anonymize	VERB
bracis-28384	56	21	and	and	CCONJ
bracis-28384	56	22	export	export	VERB
bracis-28384	56	23	these	these	DET
bracis-28384	56	24	records	record	NOUN
bracis-28384	56	25	.	.	PUNCT
bracis-28384	57	1	first	first	ADV
bracis-28384	57	2	,	,	PUNCT
bracis-28384	57	3	a	a	DET
bracis-28384	57	4	de	de	ADJ
bracis-28384	57	5	-	-	NOUN
bracis-28384	57	6	identification	identification	NOUN
bracis-28384	57	7	process	process	NOUN
bracis-28384	57	8	was	be	AUX
bracis-28384	57	9	applied	apply	VERB
bracis-28384	57	10	to	to	PART
bracis-28384	57	11	anonymize	anonymize	VERB
bracis-28384	57	12	the	the	DET
bracis-28384	57	13	data	datum	NOUN
bracis-28384	57	14	,	,	PUNCT
bracis-28384	57	15	preventing	prevent	VERB
bracis-28384	57	16	the	the	DET
bracis-28384	57	17	personal	personal	ADJ
bracis-28384	57	18	identification	identification	NOUN
bracis-28384	57	19	of	of	ADP
bracis-28384	57	20	each	each	DET
bracis-28384	57	21	patient	patient	NOUN
bracis-28384	57	22	and	and	CCONJ
bracis-28384	57	23	professional	professional	ADJ
bracis-28384	57	24	.	.	PUNCT
bracis-28384	58	1	after	after	ADP
bracis-28384	58	2	de	de	NOUN
bracis-28384	58	3	-	-	NOUN
bracis-28384	58	4	identification	identification	NOUN
bracis-28384	58	5	,	,	PUNCT
bracis-28384	58	6	the	the	DET
bracis-28384	58	7	records	record	NOUN
bracis-28384	58	8	were	be	AUX
bracis-28384	58	9	exported	export	VERB
bracis-28384	58	10	,	,	PUNCT
bracis-28384	58	11	creating	create	VERB
bracis-28384	58	12	the	the	DET
bracis-28384	58	13	corpus	corpus	NOUN
bracis-28384	58	14	used	use	VERB
bracis-28384	58	15	in	in	ADP
bracis-28384	58	16	text	text	NOUN
bracis-28384	58	17	classification	classification	NOUN
bracis-28384	58	18	approaches	approach	NOUN
bracis-28384	58	19	.	.	PUNCT
bracis-28384	59	1	in	in	ADP
bracis-28384	59	2	this	this	DET
bracis-28384	59	3	step	step	NOUN
bracis-28384	59	4	,	,	PUNCT
bracis-28384	59	5	the	the	DET
bracis-28384	59	6	textual	textual	ADJ
bracis-28384	59	7	data	datum	NOUN
bracis-28384	59	8	was	be	AUX
bracis-28384	59	9	exported	export	VERB
bracis-28384	59	10	along	along	ADV
bracis-28384	59	11	with	with	ADP
bracis-28384	59	12	some	some	DET
bracis-28384	59	13	structured	structured	ADJ
bracis-28384	59	14	clinical	clinical	ADJ
bracis-28384	59	15	information	information	NOUN
bracis-28384	59	16	.	.	PUNCT
bracis-28384	60	1	the	the	DET
bracis-28384	60	2	corpus	corpus	NOUN
bracis-28384	60	3	was	be	AUX
bracis-28384	60	4	annotated	annotate	VERB
bracis-28384	60	5	,	,	PUNCT
bracis-28384	60	6	taking	take	VERB
bracis-28384	60	7	advantage	advantage	NOUN
bracis-28384	60	8	of	of	ADP
bracis-28384	60	9	free	free	ADJ
bracis-28384	60	10	-	-	PUNCT
bracis-28384	60	11	text	text	NOUN
bracis-28384	60	12	data	data	NOUN
bracis-28384	60	13	labels	label	NOUN
bracis-28384	60	14	generated	generate	VERB
bracis-28384	60	15	by	by	ADP
bracis-28384	60	16	the	the	DET
bracis-28384	60	17	medical	medical	ADJ
bracis-28384	60	18	staff	staff	NOUN
bracis-28384	60	19	when	when	SCONJ
bracis-28384	60	20	using	use	VERB
bracis-28384	60	21	the	the	DET
bracis-28384	60	22	ehr	ehr	NOUN
bracis-28384	60	23	system	system	NOUN
bracis-28384	60	24	and	and	CCONJ
bracis-28384	60	25	stored	store	VERB
bracis-28384	60	26	in	in	ADP
bracis-28384	60	27	the	the	DET
bracis-28384	60	28	database	database	NOUN
bracis-28384	60	29	.	.	PUNCT
bracis-28384	61	1	therefore	therefore	ADV
bracis-28384	61	2	,	,	PUNCT
bracis-28384	61	3	this	this	DET
bracis-28384	61	4	corpus	corpus	NOUN
bracis-28384	61	5	could	could	AUX
bracis-28384	61	6	be	be	AUX
bracis-28384	61	7	considered	consider	VERB
bracis-28384	61	8	for	for	ADP
bracis-28384	61	9	some	some	PRON
bracis-28384	61	10	of	of	ADP
bracis-28384	61	11	the	the	DET
bracis-28384	61	12	classification	classification	NOUN
bracis-28384	61	13	approaches	approach	VERB
bracis-28384	61	14	tasks	task	NOUN
bracis-28384	61	15	,	,	PUNCT
bracis-28384	61	16	such	such	ADJ
bracis-28384	61	17	as	as	ADP
bracis-28384	61	18	the	the	DET
bracis-28384	61	19	training	training	NOUN
bracis-28384	61	20	tasks	task	NOUN
bracis-28384	61	21	.	.	PUNCT
bracis-28384	62	1	after	after	ADP
bracis-28384	62	2	the	the	DET
bracis-28384	62	3	corpus	corpus	PROPN
bracis-28384	62	4	creation	creation	NOUN
bracis-28384	62	5	and	and	CCONJ
bracis-28384	62	6	annotation	annotation	NOUN
bracis-28384	62	7	,	,	PUNCT
bracis-28384	62	8	it	it	PRON
bracis-28384	62	9	was	be	AUX
bracis-28384	62	10	enriched	enrich	VERB
bracis-28384	62	11	with	with	ADP
bracis-28384	62	12	some	some	DET
bracis-28384	62	13	structured	structured	ADJ
bracis-28384	62	14	clinical	clinical	ADJ
bracis-28384	62	15	information	information	NOUN
bracis-28384	62	16	.	.	PUNCT
bracis-28384	63	1	as	as	SCONJ
bracis-28384	63	2	mentioned	mention	VERB
bracis-28384	63	3	previously	previously	ADV
bracis-28384	63	4	,	,	PUNCT
bracis-28384	63	5	the	the	DET
bracis-28384	63	6	ehr	ehr	NOUN
bracis-28384	63	7	system	system	NOUN
bracis-28384	63	8	stores	store	VERB
bracis-28384	63	9	the	the	DET
bracis-28384	63	10	data	datum	NOUN
bracis-28384	63	11	as	as	ADP
bracis-28384	63	12	a	a	DET
bracis-28384	63	13	free	free	ADJ
bracis-28384	63	14	-	-	PUNCT
bracis-28384	63	15	text	text	NOUN
bracis-28384	63	16	type	type	NOUN
bracis-28384	63	17	or	or	CCONJ
bracis-28384	63	18	structured	structured	ADJ
bracis-28384	63	19	type	type	NOUN
bracis-28384	63	20	.	.	PUNCT
bracis-28384	64	1	some	some	PRON
bracis-28384	64	2	of	of	ADP
bracis-28384	64	3	these	these	DET
bracis-28384	64	4	structured	structured	ADJ
bracis-28384	64	5	data	datum	NOUN
bracis-28384	64	6	are	be	AUX
bracis-28384	64	7	the	the	DET
bracis-28384	64	8	diagnosis	diagnosis	NOUN
bracis-28384	64	9	and	and	CCONJ
bracis-28384	64	10	treatment	treatment	NOUN
bracis-28384	64	11	information	information	NOUN
bracis-28384	64	12	used	use	VERB
bracis-28384	64	13	to	to	PART
bracis-28384	64	14	enrich	enrich	VERB
bracis-28384	64	15	the	the	DET
bracis-28384	64	16	corpus	corpus	NOUN
bracis-28384	64	17	.	.	PUNCT
bracis-28384	65	1	the	the	DET
bracis-28384	65	2	final	final	ADJ
bracis-28384	65	3	step	step	NOUN
bracis-28384	65	4	involves	involve	VERB
bracis-28384	65	5	all	all	DET
bracis-28384	65	6	the	the	DET
bracis-28384	65	7	preprocessing	preprocessing	NOUN
bracis-28384	65	8	steps	step	NOUN
bracis-28384	65	9	necessary	necessary	ADJ
bracis-28384	65	10	to	to	PART
bracis-28384	65	11	train	train	VERB
bracis-28384	65	12	the	the	DET
bracis-28384	65	13	evaluated	evaluated	ADJ
bracis-28384	65	14	classification	classification	NOUN
bracis-28384	65	15	algorithms	algorithm	NOUN
bracis-28384	65	16	.	.	PUNCT
bracis-28384	66	1	before	before	ADP
bracis-28384	66	2	training	train	VERB
bracis-28384	66	3	the	the	DET
bracis-28384	66	4	artificial	artificial	ADJ
bracis-28384	66	5	neural	neural	ADJ
bracis-28384	66	6	network	network	NOUN
bracis-28384	66	7	model	model	NOUN
bracis-28384	66	8	,	,	PUNCT
bracis-28384	66	9	the	the	DET
bracis-28384	66	10	corpus	corpus	NOUN
bracis-28384	66	11	was	be	AUX
bracis-28384	66	12	preprocessed	preprocesse	VERB
bracis-28384	66	13	as	as	SCONJ
bracis-28384	66	14	described	describe	VERB
bracis-28384	66	15	in	in	ADP
bracis-28384	66	16	sect	sect	NOUN
bracis-28384	66	17	.	.	PUNCT
bracis-28384	66	18	 	 	SPACE
bracis-28384	67	1	2	2	X
bracis-28384	67	2	.	.	PUNCT
bracis-28384	67	3	in	in	ADP
bracis-28384	67	4	this	this	DET
bracis-28384	67	5	step	step	NOUN
bracis-28384	67	6	,	,	PUNCT
bracis-28384	67	7	the	the	DET
bracis-28384	67	8	corpus	corpus	NOUN
bracis-28384	67	9	annotations	annotation	NOUN
bracis-28384	67	10	and	and	CCONJ
bracis-28384	67	11	enriched	enriched	ADJ
bracis-28384	67	12	data	datum	NOUN
bracis-28384	67	13	were	be	AUX
bracis-28384	67	14	assessed	assess	VERB
bracis-28384	67	15	.	.	PUNCT
bracis-28384	68	1	when	when	SCONJ
bracis-28384	68	2	necessary	necessary	ADJ
bracis-28384	68	3	,	,	PUNCT
bracis-28384	68	4	textual	textual	ADJ
bracis-28384	68	5	features	feature	NOUN
bracis-28384	68	6	were	be	AUX
bracis-28384	68	7	extracted	extract	VERB
bracis-28384	68	8	.	.	PUNCT
bracis-28384	69	1	after	after	ADP
bracis-28384	69	2	that	that	PRON
bracis-28384	69	3	,	,	PUNCT
bracis-28384	69	4	the	the	DET
bracis-28384	69	5	corpus	corpus	NOUN
bracis-28384	69	6	and	and	CCONJ
bracis-28384	69	7	its	its	PRON
bracis-28384	69	8	features	feature	NOUN
bracis-28384	69	9	were	be	AUX
bracis-28384	69	10	used	use	VERB
bracis-28384	69	11	as	as	ADP
bracis-28384	69	12	input	input	NOUN
bracis-28384	69	13	to	to	PART
bracis-28384	69	14	train	train	VERB
bracis-28384	69	15	the	the	DET
bracis-28384	69	16	following	follow	VERB
bracis-28384	69	17	artificial	artificial	ADJ
bracis-28384	69	18	neural	neural	ADJ
bracis-28384	69	19	network	network	NOUN
bracis-28384	69	20	(	(	PUNCT
bracis-28384	69	21	ann	ann	PROPN
bracis-28384	69	22	)	)	PUNCT
bracis-28384	69	23	models	model	NOUN
bracis-28384	69	24	:	:	PUNCT
bracis-28384	69	25	multilayer	multilayer	PROPN
bracis-28384	69	26	perceptron	perceptron	PROPN
bracis-28384	69	27	(	(	PUNCT
bracis-28384	69	28	mlp	mlp	PROPN
bracis-28384	69	29	)	)	PUNCT
bracis-28384	69	30	and	and	CCONJ
bracis-28384	69	31	long	long	ADJ
bracis-28384	69	32	short	short	ADJ
bracis-28384	69	33	-	-	PUNCT
bracis-28384	69	34	term	term	NOUN
bracis-28384	69	35	memory	memory	NOUN
bracis-28384	69	36	(	(	PUNCT
bracis-28384	69	37	lstm	lstm	NOUN
bracis-28384	69	38	)	)	PUNCT
bracis-28384	69	39	.	.	PUNCT
bracis-28384	70	1	part	part	NOUN
bracis-28384	70	2	of	of	ADP
bracis-28384	70	3	the	the	DET
bracis-28384	70	4	corpus	corpus	NOUN
bracis-28384	70	5	was	be	AUX
bracis-28384	70	6	reserved	reserve	VERB
bracis-28384	70	7	for	for	ADP
bracis-28384	70	8	testing	testing	NOUN
bracis-28384	70	9	to	to	PART
bracis-28384	70	10	evaluate	evaluate	VERB
bracis-28384	70	11	each	each	DET
bracis-28384	70	12	ann	ann	PROPN
bracis-28384	70	13	model	model	NOUN
bracis-28384	70	14	’s	’s	PART
bracis-28384	70	15	performance	performance	NOUN
bracis-28384	70	16	.	.	PUNCT
bracis-28384	71	1	we	we	PRON
bracis-28384	71	2	developed	develop	VERB
bracis-28384	71	3	experiments	experiment	NOUN
bracis-28384	71	4	combining	combine	VERB
bracis-28384	71	5	approaches	approach	NOUN
bracis-28384	71	6	such	such	ADJ
bracis-28384	71	7	as	as	ADP
bracis-28384	71	8	corpus	corpus	NOUN
bracis-28384	71	9	format	format	NOUN
bracis-28384	71	10	,	,	PUNCT
bracis-28384	71	11	new	new	ADJ
bracis-28384	71	12	corpus	corpus	NOUN
bracis-28384	71	13	with	with	ADP
bracis-28384	71	14	updated	update	VERB
bracis-28384	71	15	information	information	NOUN
bracis-28384	71	16	,	,	PUNCT
bracis-28384	71	17	document	document	NOUN
bracis-28384	71	18	or	or	CCONJ
bracis-28384	71	19	paragraph	paragraph	NOUN
bracis-28384	71	20	processing	processing	NOUN
bracis-28384	71	21	levels	level	NOUN
bracis-28384	71	22	,	,	PUNCT
bracis-28384	71	23	and	and	CCONJ
bracis-28384	71	24	different	different	ADJ
bracis-28384	71	25	machine	machine	NOUN
bracis-28384	71	26	learning	learning	NOUN
bracis-28384	71	27	and	and	CCONJ
bracis-28384	71	28	deep	deep	ADJ
bracis-28384	71	29	learning	learning	NOUN
bracis-28384	71	30	classifiers	classifier	NOUN
bracis-28384	71	31	(	(	PUNCT
bracis-28384	71	32	as	as	SCONJ
bracis-28384	71	33	described	describe	VERB
bracis-28384	71	34	in	in	ADP
bracis-28384	71	35	sect	sect	NOUN
bracis-28384	71	36	.	.	PUNCT
bracis-28384	71	37	 	 	SPACE
bracis-28384	71	38	3	3	NUM
bracis-28384	71	39	)	)	PUNCT
bracis-28384	71	40	.	.	PUNCT
bracis-28384	72	1	the	the	DET
bracis-28384	72	2	experiments	experiment	NOUN
bracis-28384	72	3	’	'	PUNCT
bracis-28384	72	4	results	result	NOUN
bracis-28384	72	5	are	be	AUX
bracis-28384	72	6	evaluated	evaluate	VERB
bracis-28384	72	7	in	in	ADP
bracis-28384	72	8	sect	sect	NOUN
bracis-28384	72	9	.	.	PUNCT
bracis-28384	72	10	 	 	SPACE
bracis-28384	73	1	3.3	3.3	NUM
bracis-28384	73	2	.	.	PUNCT
bracis-28384	74	1	as	as	ADP
bracis-28384	74	2	a	a	DET
bracis-28384	74	3	result	result	NOUN
bracis-28384	74	4	of	of	ADP
bracis-28384	74	5	the	the	DET
bracis-28384	74	6	work	work	NOUN
bracis-28384	74	7	overviewed	overviewe	VERB
bracis-28384	74	8	above	above	ADV
bracis-28384	74	9	,	,	PUNCT
bracis-28384	74	10	creating	create	VERB
bracis-28384	74	11	a	a	DET
bracis-28384	74	12	corpus	corpus	NOUN
bracis-28384	74	13	with	with	ADP
bracis-28384	74	14	non	non	ADJ
bracis-28384	74	15	-	-	ADJ
bracis-28384	74	16	synthetic	synthetic	ADJ
bracis-28384	74	17	oncological	oncological	ADJ
bracis-28384	74	18	medical	medical	ADJ
bracis-28384	74	19	notes	note	NOUN
bracis-28384	74	20	and	and	CCONJ
bracis-28384	74	21	implementing	implement	VERB
bracis-28384	74	22	a	a	DET
bracis-28384	74	23	de	de	NOUN
bracis-28384	74	24	-	-	NOUN
bracis-28384	74	25	identification	identification	NOUN
bracis-28384	74	26	and	and	CCONJ
bracis-28384	74	27	enrichment	enrichment	NOUN
bracis-28384	74	28	process	process	NOUN
bracis-28384	74	29	of	of	ADP
bracis-28384	74	30	the	the	DET
bracis-28384	74	31	corpus	corpus	NOUN
bracis-28384	74	32	are	be	AUX
bracis-28384	74	33	highlighted	highlight	VERB
bracis-28384	74	34	.	.	PUNCT
bracis-28384	75	1	in	in	ADP
bracis-28384	75	2	addition	addition	NOUN
bracis-28384	75	3	,	,	PUNCT
bracis-28384	75	4	the	the	DET
bracis-28384	75	5	evaluation	evaluation	NOUN
bracis-28384	75	6	and	and	CCONJ
bracis-28384	75	7	performance	performance	NOUN
bracis-28384	75	8	comparison	comparison	NOUN
bracis-28384	75	9	of	of	ADP
bracis-28384	75	10	a	a	DET
bracis-28384	75	11	machine	machine	NOUN
bracis-28384	75	12	learning	learning	NOUN
bracis-28384	75	13	and	and	CCONJ
bracis-28384	75	14	a	a	DET
bracis-28384	75	15	deep	deep	ADJ
bracis-28384	75	16	learning	learning	NOUN
bracis-28384	75	17	classifier	classifier	NOUN
bracis-28384	75	18	are	be	AUX
bracis-28384	75	19	also	also	ADV
bracis-28384	75	20	highlighted	highlight	VERB
bracis-28384	75	21	as	as	ADP
bracis-28384	75	22	contributions	contribution	NOUN
bracis-28384	75	23	of	of	ADP
bracis-28384	75	24	this	this	DET
bracis-28384	75	25	work	work	NOUN
bracis-28384	75	26	.	.	PUNCT
bracis-28384	76	1	in	in	ADP
bracis-28384	76	2	the	the	DET
bracis-28384	76	3	following	follow	VERB
bracis-28384	76	4	sections	section	NOUN
bracis-28384	76	5	,	,	PUNCT
bracis-28384	76	6	each	each	DET
bracis-28384	76	7	component	component	NOUN
bracis-28384	76	8	or	or	CCONJ
bracis-28384	76	9	step	step	NOUN
bracis-28384	76	10	involved	involve	VERB
bracis-28384	76	11	in	in	ADP
bracis-28384	76	12	the	the	DET
bracis-28384	76	13	general	general	ADJ
bracis-28384	76	14	approach	approach	NOUN
bracis-28384	76	15	of	of	ADP
bracis-28384	76	16	fig	fig	NOUN
bracis-28384	76	17	.	.	PUNCT
bracis-28384	76	18	 	 	SPACE
bracis-28384	76	19	1	1	NUM
bracis-28384	76	20	is	be	AUX
bracis-28384	76	21	detailed	detail	VERB
bracis-28384	76	22	.	.	PUNCT
bracis-28384	77	1	the	the	DET
bracis-28384	77	2	machine	machine	NOUN
bracis-28384	77	3	learning	learning	NOUN
bracis-28384	77	4	and	and	CCONJ
bracis-28384	77	5	deep	deep	ADJ
bracis-28384	77	6	learning	learning	NOUN
bracis-28384	77	7	architectures	architecture	NOUN
bracis-28384	77	8	will	will	AUX
bracis-28384	77	9	be	be	AUX
bracis-28384	77	10	described	describe	VERB
bracis-28384	77	11	,	,	PUNCT
bracis-28384	77	12	along	along	ADP
bracis-28384	77	13	with	with	ADP
bracis-28384	77	14	some	some	DET
bracis-28384	77	15	parametrization	parametrization	NOUN
bracis-28384	77	16	aspects	aspect	NOUN
bracis-28384	77	17	,	,	PUNCT
bracis-28384	77	18	complementary	complementary	ADJ
bracis-28384	77	19	information	information	NOUN
bracis-28384	77	20	on	on	ADP
bracis-28384	77	21	the	the	DET
bracis-28384	77	22	feature	feature	NOUN
bracis-28384	77	23	engineering	engineering	NOUN
bracis-28384	77	24	,	,	PUNCT
bracis-28384	77	25	and	and	CCONJ
bracis-28384	77	26	the	the	DET
bracis-28384	77	27	general	general	ADJ
bracis-28384	77	28	view	view	NOUN
bracis-28384	77	29	of	of	ADP
bracis-28384	77	30	the	the	DET
bracis-28384	77	31	planned	plan	VERB
bracis-28384	77	32	experiments	experiment	NOUN
bracis-28384	77	33	set	set	VERB
bracis-28384	77	34	.	.	PUNCT
bracis-28384	78	1	fig	fig	NOUN
bracis-28384	78	2	.	.	PUNCT
bracis-28384	79	1	2	2	X
bracis-28384	79	2	.	.	X
bracis-28384	79	3	overview	overview	NOUN
bracis-28384	79	4	of	of	ADP
bracis-28384	79	5	the	the	DET
bracis-28384	79	6	model	model	NOUN
bracis-28384	79	7	applied	apply	VERB
bracis-28384	79	8	in	in	ADP
bracis-28384	79	9	this	this	DET
bracis-28384	79	10	research	research	NOUN
bracis-28384	79	11	full	full	ADJ
bracis-28384	79	12	size	size	NOUN
bracis-28384	79	13	image	image	NOUN
bracis-28384	79	14	the	the	DET
bracis-28384	79	15	additional	additional	ADJ
bracis-28384	79	16	corpora	corpora	NOUN
bracis-28384	79	17	preprocessing	preprocessing	NOUN
bracis-28384	79	18	,	,	PUNCT
bracis-28384	79	19	the	the	DET
bracis-28384	79	20	feature	feature	NOUN
bracis-28384	79	21	extraction	extraction	NOUN
bracis-28384	79	22	details	detail	NOUN
bracis-28384	79	23	,	,	PUNCT
bracis-28384	79	24	and	and	CCONJ
bracis-28384	79	25	the	the	DET
bracis-28384	79	26	model	model	NOUN
bracis-28384	79	27	specifications	specification	NOUN
bracis-28384	79	28	are	be	AUX
bracis-28384	79	29	described	describe	VERB
bracis-28384	79	30	in	in	ADP
bracis-28384	79	31	the	the	DET
bracis-28384	79	32	following	follow	VERB
bracis-28384	79	33	subsections	subsection	NOUN
bracis-28384	79	34	.	.	PUNCT
bracis-28384	80	1	corpus	corpus	NOUN
bracis-28384	80	2	preprocessing	preprocessing	NOUN
bracis-28384	80	3	.	.	PUNCT
bracis-28384	81	1	after	after	ADP
bracis-28384	81	2	the	the	DET
bracis-28384	81	3	corpora	corpora	PROPN
bracis-28384	81	4	creation	creation	NOUN
bracis-28384	81	5	process	process	NOUN
bracis-28384	81	6	,	,	PUNCT
bracis-28384	81	7	it	it	PRON
bracis-28384	81	8	was	be	AUX
bracis-28384	81	9	necessary	necessary	ADJ
bracis-28384	81	10	to	to	PART
bracis-28384	81	11	preprocess	preprocess	VERB
bracis-28384	81	12	them	they	PRON
bracis-28384	81	13	to	to	PART
bracis-28384	81	14	normalize	normalize	VERB
bracis-28384	81	15	the	the	DET
bracis-28384	81	16	text	text	NOUN
bracis-28384	81	17	.	.	PUNCT
bracis-28384	82	1	the	the	DET
bracis-28384	82	2	same	same	ADJ
bracis-28384	82	3	preprocessing	preprocessing	NOUN
bracis-28384	82	4	was	be	AUX
bracis-28384	82	5	performed	perform	VERB
bracis-28384	82	6	for	for	ADP
bracis-28384	82	7	both	both	DET
bracis-28384	82	8	per	per	ADP
bracis-28384	82	9	-	-	PUNCT
bracis-28384	82	10	clinical	clinical	NOUN
bracis-28384	82	11	-	-	PUNCT
bracis-28384	82	12	event	event	NOUN
bracis-28384	82	13	and	and	CCONJ
bracis-28384	82	14	per	per	ADP
bracis-28384	82	15	-	-	PUNCT
bracis-28384	82	16	patient	patient	NOUN
bracis-28384	82	17	corpora	corpora	NOUN
bracis-28384	82	18	types	type	NOUN
bracis-28384	82	19	.	.	PUNCT
bracis-28384	83	1	the	the	DET
bracis-28384	83	2	text	text	NOUN
bracis-28384	83	3	analysis	analysis	NOUN
bracis-28384	83	4	and	and	CCONJ
bracis-28384	83	5	preprocessing	preprocesse	VERB
bracis-28384	83	6	techniques	technique	NOUN
bracis-28384	83	7	applied	apply	VERB
bracis-28384	83	8	are	be	AUX
bracis-28384	83	9	described	describe	VERB
bracis-28384	83	10	below	below	ADP
bracis-28384	83	11	.	.	PUNCT
bracis-28384	84	1	fig	fig	NOUN
bracis-28384	84	2	.	.	PUNCT
bracis-28384	85	1	3	3	X
bracis-28384	85	2	.	.	X
bracis-28384	85	3	a	a	DET
bracis-28384	85	4	sample	sample	NOUN
bracis-28384	85	5	of	of	ADP
bracis-28384	85	6	a	a	DET
bracis-28384	85	7	corpus	corpus	NOUN
bracis-28384	85	8	full	full	ADJ
bracis-28384	85	9	size	size	NOUN
bracis-28384	85	10	image	image	NOUN
bracis-28384	85	11	before	before	ADP
bracis-28384	85	12	the	the	DET
bracis-28384	85	13	text	text	NOUN
bracis-28384	85	14	preprocessing	preprocessing	NOUN
bracis-28384	85	15	,	,	PUNCT
bracis-28384	85	16	it	it	PRON
bracis-28384	85	17	was	be	AUX
bracis-28384	85	18	possible	possible	ADJ
bracis-28384	85	19	to	to	PART
bracis-28384	85	20	observe	observe	VERB
bracis-28384	85	21	that	that	SCONJ
bracis-28384	85	22	a	a	DET
bracis-28384	85	23	small	small	ADJ
bracis-28384	85	24	group	group	NOUN
bracis-28384	85	25	of	of	ADP
bracis-28384	85	26	diagnoses	diagnosis	NOUN
bracis-28384	85	27	concentrates	concentrate	VERB
bracis-28384	85	28	on	on	ADP
bracis-28384	85	29	the	the	DET
bracis-28384	85	30	most	most	ADV
bracis-28384	85	31	frequent	frequent	ADJ
bracis-28384	85	32	occurrences	occurrence	NOUN
bracis-28384	85	33	.	.	PUNCT
bracis-28384	86	1	hence	hence	ADV
bracis-28384	86	2	the	the	DET
bracis-28384	86	3	diagnoses	diagnosis	NOUN
bracis-28384	86	4	with	with	ADP
bracis-28384	86	5	less	less	ADJ
bracis-28384	86	6	than	than	ADP
bracis-28384	86	7	50	50	NUM
bracis-28384	86	8	occurrences	occurrence	NOUN
bracis-28384	86	9	were	be	AUX
bracis-28384	86	10	joined	join	VERB
bracis-28384	86	11	into	into	ADP
bracis-28384	86	12	a	a	DET
bracis-28384	86	13	single	single	ADJ
bracis-28384	86	14	group	group	NOUN
bracis-28384	86	15	called	call	VERB
bracis-28384	86	16	“	"	PUNCT
bracis-28384	86	17	outros	outros	PROPN
bracis-28384	86	18	”	"	PUNCT
bracis-28384	86	19	(	(	PUNCT
bracis-28384	86	20	“	"	PUNCT
bracis-28384	86	21	others	other	NOUN
bracis-28384	86	22	”	"	PUNCT
bracis-28384	86	23	)	)	PUNCT
bracis-28384	86	24	.	.	PUNCT
bracis-28384	87	1	furthermore	furthermore	ADV
bracis-28384	87	2	,	,	PUNCT
bracis-28384	87	3	to	to	PART
bracis-28384	87	4	evaluate	evaluate	VERB
bracis-28384	87	5	the	the	DET
bracis-28384	87	6	neural	neural	ADJ
bracis-28384	87	7	network	network	NOUN
bracis-28384	87	8	’s	’s	PART
bracis-28384	87	9	performance	performance	NOUN
bracis-28384	87	10	according	accord	VERB
bracis-28384	87	11	to	to	ADP
bracis-28384	87	12	the	the	DET
bracis-28384	87	13	dataset	dataset	NOUN
bracis-28384	87	14	sparsity	sparsity	NOUN
bracis-28384	87	15	,	,	PUNCT
bracis-28384	87	16	a	a	DET
bracis-28384	87	17	new	new	ADJ
bracis-28384	87	18	version	version	NOUN
bracis-28384	87	19	of	of	ADP
bracis-28384	87	20	the	the	DET
bracis-28384	87	21	dataset	dataset	NOUN
bracis-28384	87	22	was	be	AUX
bracis-28384	87	23	created	create	VERB
bracis-28384	87	24	with	with	ADP
bracis-28384	87	25	the	the	DET
bracis-28384	87	26	12	12	NUM
bracis-28384	87	27	most	most	ADJ
bracis-28384	87	28	occurring	occurring	NOUN
bracis-28384	87	29	diagnoses	diagnosis	NOUN
bracis-28384	87	30	.	.	PUNCT
bracis-28384	88	1	the	the	DET
bracis-28384	88	2	following	follow	VERB
bracis-28384	88	3	tasks	task	NOUN
bracis-28384	88	4	were	be	AUX
bracis-28384	88	5	performed	perform	VERB
bracis-28384	88	6	:	:	PUNCT
bracis-28384	88	7	tokenization	tokenization	NOUN
bracis-28384	88	8	:	:	PUNCT
bracis-28384	88	9	split	split	VERB
bracis-28384	88	10	the	the	DET
bracis-28384	88	11	text	text	NOUN
bracis-28384	88	12	into	into	ADP
bracis-28384	88	13	tokens	token	NOUN
bracis-28384	88	14	that	that	PRON
bracis-28384	88	15	correspond	correspond	VERB
bracis-28384	88	16	to	to	ADP
bracis-28384	88	17	words	word	NOUN
bracis-28384	88	18	;	;	PUNCT
bracis-28384	88	19	stop	stop	VERB
bracis-28384	88	20	-	-	PUNCT
bracis-28384	88	21	words	word	NOUN
bracis-28384	88	22	filtering	filtering	NOUN
bracis-28384	88	23	:	:	PUNCT
bracis-28384	88	24	removal	removal	NOUN
bracis-28384	88	25	of	of	ADP
bracis-28384	88	26	most	most	ADJ
bracis-28384	88	27	common	common	ADJ
bracis-28384	88	28	words	word	NOUN
bracis-28384	88	29	in	in	ADP
bracis-28384	88	30	the	the	DET
bracis-28384	88	31	brazilian	brazilian	ADJ
bracis-28384	88	32	portuguese	portuguese	ADJ
bracis-28384	88	33	language	language	NOUN
bracis-28384	88	34	,	,	PUNCT
bracis-28384	88	35	punctuation	punctuation	NOUN
bracis-28384	88	36	,	,	PUNCT
bracis-28384	88	37	and	and	CCONJ
bracis-28384	88	38	special	special	ADJ
bracis-28384	88	39	characters	character	NOUN
bracis-28384	88	40	;	;	PUNCT
bracis-28384	88	41	case	case	NOUN
bracis-28384	88	42	folding	folding	NOUN
bracis-28384	88	43	:	:	PUNCT
bracis-28384	88	44	conversion	conversion	NOUN
bracis-28384	88	45	all	all	DET
bracis-28384	88	46	words	word	NOUN
bracis-28384	88	47	to	to	PART
bracis-28384	88	48	lowercase	lowercase	VERB
bracis-28384	88	49	.	.	PUNCT
bracis-28384	89	1	an	an	DET
bracis-28384	89	2	additional	additional	ADJ
bracis-28384	89	3	manual	manual	ADJ
bracis-28384	89	4	analysis	analysis	NOUN
bracis-28384	89	5	was	be	AUX
bracis-28384	89	6	done	do	VERB
bracis-28384	89	7	on	on	ADP
bracis-28384	89	8	the	the	DET
bracis-28384	89	9	corpus	corpus	NOUN
bracis-28384	89	10	in	in	ADP
bracis-28384	89	11	the	the	DET
bracis-28384	89	12	per	per	ADP
bracis-28384	89	13	-	-	PUNCT
bracis-28384	89	14	clinical	clinical	NOUN
bracis-28384	89	15	-	-	PUNCT
bracis-28384	89	16	events	event	NOUN
bracis-28384	89	17	corpora	corpora	NOUN
bracis-28384	89	18	.	.	PUNCT
bracis-28384	90	1	the	the	DET
bracis-28384	90	2	text	text	NOUN
bracis-28384	90	3	was	be	AUX
bracis-28384	90	4	assessed	assess	VERB
bracis-28384	90	5	to	to	PART
bracis-28384	90	6	understand	understand	VERB
bracis-28384	90	7	how	how	SCONJ
bracis-28384	90	8	it	it	PRON
bracis-28384	90	9	could	could	AUX
bracis-28384	90	10	be	be	AUX
bracis-28384	90	11	transformed	transform	VERB
bracis-28384	90	12	to	to	PART
bracis-28384	90	13	improve	improve	VERB
bracis-28384	90	14	ann	ann	PROPN
bracis-28384	90	15	algorithms	algorithms	PROPN
bracis-28384	90	16	.	.	PUNCT
bracis-28384	91	1	repeated	repeat	VERB
bracis-28384	91	2	medical	medical	ADJ
bracis-28384	91	3	notes	note	NOUN
bracis-28384	91	4	were	be	AUX
bracis-28384	91	5	removed	remove	VERB
bracis-28384	91	6	from	from	ADP
bracis-28384	91	7	several	several	ADJ
bracis-28384	91	8	annotation	annotation	NOUN
bracis-28384	91	9	labels	label	NOUN
bracis-28384	91	10	.	.	PUNCT
bracis-28384	92	1	these	these	DET
bracis-28384	92	2	notes	note	NOUN
bracis-28384	92	3	could	could	AUX
bracis-28384	92	4	weaken	weaken	VERB
bracis-28384	92	5	the	the	DET
bracis-28384	92	6	representation	representation	NOUN
bracis-28384	92	7	strength	strength	NOUN
bracis-28384	92	8	of	of	ADP
bracis-28384	92	9	the	the	DET
bracis-28384	92	10	corpus	corpus	NOUN
bracis-28384	92	11	.	.	PUNCT
bracis-28384	93	1	a	a	DET
bracis-28384	93	2	complementary	complementary	ADJ
bracis-28384	93	3	experiment	experiment	NOUN
bracis-28384	93	4	was	be	AUX
bracis-28384	93	5	performed	perform	VERB
bracis-28384	93	6	to	to	PART
bracis-28384	93	7	evaluate	evaluate	VERB
bracis-28384	93	8	how	how	SCONJ
bracis-28384	93	9	this	this	DET
bracis-28384	93	10	step	step	NOUN
bracis-28384	93	11	leveraged	leverage	VERB
bracis-28384	93	12	the	the	DET
bracis-28384	93	13	results	result	NOUN
bracis-28384	93	14	of	of	ADP
bracis-28384	93	15	the	the	DET
bracis-28384	93	16	classifiers	classifier	NOUN
bracis-28384	93	17	.	.	PUNCT
bracis-28384	94	1	as	as	SCONJ
bracis-28384	94	2	described	describe	VERB
bracis-28384	94	3	in	in	ADP
bracis-28384	94	4	sect	sect	NOUN
bracis-28384	94	5	.	.	PUNCT
bracis-28384	94	6	 	 	SPACE
bracis-28384	95	1	3.1	3.1	NUM
bracis-28384	95	2	,	,	PUNCT
bracis-28384	95	3	a	a	DET
bracis-28384	95	4	significant	significant	ADJ
bracis-28384	95	5	improvement	improvement	NOUN
bracis-28384	95	6	was	be	AUX
bracis-28384	95	7	achieved	achieve	VERB
bracis-28384	95	8	by	by	ADP
bracis-28384	95	9	applying	apply	VERB
bracis-28384	95	10	this	this	DET
bracis-28384	95	11	step	step	NOUN
bracis-28384	95	12	.	.	PUNCT
bracis-28384	96	1	feature	feature	NOUN
bracis-28384	96	2	extraction	extraction	NOUN
bracis-28384	96	3	.	.	PUNCT
bracis-28384	97	1	the	the	DET
bracis-28384	97	2	text	text	NOUN
bracis-28384	97	3	from	from	ADP
bracis-28384	97	4	medical	medical	ADJ
bracis-28384	97	5	notes	note	NOUN
bracis-28384	97	6	must	must	AUX
bracis-28384	97	7	be	be	AUX
bracis-28384	97	8	transformed	transform	VERB
bracis-28384	97	9	into	into	ADP
bracis-28384	97	10	a	a	DET
bracis-28384	97	11	structure	structure	NOUN
bracis-28384	97	12	that	that	PRON
bracis-28384	97	13	the	the	DET
bracis-28384	97	14	classifiers	classifier	NOUN
bracis-28384	97	15	could	could	AUX
bracis-28384	97	16	use	use	VERB
bracis-28384	97	17	.	.	PUNCT
bracis-28384	98	1	for	for	ADP
bracis-28384	98	2	that	that	DET
bracis-28384	98	3	reason	reason	NOUN
bracis-28384	98	4	,	,	PUNCT
bracis-28384	98	5	the	the	DET
bracis-28384	98	6	bag	bag	NOUN
bracis-28384	98	7	-	-	PUNCT
bracis-28384	98	8	of	of	ADP
bracis-28384	98	9	-	-	PUNCT
bracis-28384	98	10	words	word	NOUN
bracis-28384	98	11	(	(	PUNCT
bracis-28384	98	12	bow	bow	NOUN
bracis-28384	98	13	)	)	PUNCT
bracis-28384	98	14	method	method	NOUN
bracis-28384	98	15	was	be	AUX
bracis-28384	98	16	used	use	VERB
bracis-28384	98	17	,	,	PUNCT
bracis-28384	98	18	which	which	PRON
bracis-28384	98	19	is	be	AUX
bracis-28384	98	20	a	a	DET
bracis-28384	98	21	representation	representation	NOUN
bracis-28384	98	22	that	that	PRON
bracis-28384	98	23	turns	turn	VERB
bracis-28384	98	24	arbitrary	arbitrary	ADJ
bracis-28384	98	25	text	text	NOUN
bracis-28384	98	26	into	into	ADP
bracis-28384	98	27	fixed	fix	VERB
bracis-28384	98	28	-	-	PUNCT
bracis-28384	98	29	length	length	NOUN
bracis-28384	98	30	vectors	vector	NOUN
bracis-28384	98	31	by	by	ADP
bracis-28384	98	32	counting	count	VERB
bracis-28384	98	33	how	how	SCONJ
bracis-28384	98	34	many	many	ADJ
bracis-28384	98	35	times	time	NOUN
bracis-28384	98	36	each	each	DET
bracis-28384	98	37	word	word	NOUN
bracis-28384	98	38	appears	appear	VERB
bracis-28384	98	39	.	.	PUNCT
bracis-28384	99	1	this	this	DET
bracis-28384	99	2	representation	representation	NOUN
bracis-28384	99	3	is	be	AUX
bracis-28384	99	4	useful	useful	ADJ
bracis-28384	99	5	to	to	PART
bracis-28384	99	6	be	be	AUX
bracis-28384	99	7	used	use	VERB
bracis-28384	99	8	by	by	ADP
bracis-28384	99	9	the	the	DET
bracis-28384	99	10	classifier	classifier	NOUN
bracis-28384	99	11	algorithms	algorithm	NOUN
bracis-28384	99	12	.	.	PUNCT
bracis-28384	100	1	this	this	DET
bracis-28384	100	2	work	work	NOUN
bracis-28384	100	3	used	use	VERB
bracis-28384	100	4	the	the	DET
bracis-28384	100	5	medical	medical	ADJ
bracis-28384	100	6	notes	note	NOUN
bracis-28384	100	7	bag	bag	NOUN
bracis-28384	100	8	-	-	PUNCT
bracis-28384	100	9	of	of	ADP
bracis-28384	100	10	-	-	PUNCT
bracis-28384	100	11	words	word	NOUN
bracis-28384	100	12	(	(	PUNCT
bracis-28384	100	13	bow	bow	NOUN
bracis-28384	100	14	)	)	PUNCT
bracis-28384	100	15	to	to	PART
bracis-28384	100	16	extract	extract	VERB
bracis-28384	100	17	the	the	DET
bracis-28384	100	18	features	feature	NOUN
bracis-28384	100	19	to	to	PART
bracis-28384	100	20	be	be	AUX
bracis-28384	100	21	used	use	VERB
bracis-28384	100	22	in	in	ADP
bracis-28384	100	23	machine	machine	NOUN
bracis-28384	100	24	learning	learning	NOUN
bracis-28384	100	25	and	and	CCONJ
bracis-28384	100	26	deep	deep	ADJ
bracis-28384	100	27	learning	learning	NOUN
bracis-28384	100	28	training	training	NOUN
bracis-28384	100	29	.	.	PUNCT
bracis-28384	101	1	in	in	ADP
bracis-28384	101	2	the	the	DET
bracis-28384	101	3	per	per	ADP
bracis-28384	101	4	-	-	PUNCT
bracis-28384	101	5	clinical	clinical	NOUN
bracis-28384	101	6	-	-	PUNCT
bracis-28384	101	7	event	event	NOUN
bracis-28384	101	8	corpora	corpus	NOUN
bracis-28384	101	9	,	,	PUNCT
bracis-28384	101	10	the	the	DET
bracis-28384	101	11	bow	bow	NOUN
bracis-28384	101	12	was	be	AUX
bracis-28384	101	13	generated	generate	VERB
bracis-28384	101	14	for	for	ADP
bracis-28384	101	15	each	each	DET
bracis-28384	101	16	medical	medical	ADJ
bracis-28384	101	17	note	note	NOUN
bracis-28384	101	18	.	.	PUNCT
bracis-28384	102	1	likewise	likewise	ADV
bracis-28384	102	2	,	,	PUNCT
bracis-28384	102	3	the	the	DET
bracis-28384	102	4	per	per	ADP
bracis-28384	102	5	-	-	PUNCT
bracis-28384	102	6	patient	patient	NOUN
bracis-28384	102	7	corpora	corpora	NOUN
bracis-28384	102	8	were	be	AUX
bracis-28384	102	9	generated	generate	VERB
bracis-28384	102	10	for	for	ADP
bracis-28384	102	11	each	each	DET
bracis-28384	102	12	patient	patient	NOUN
bracis-28384	102	13	with	with	ADP
bracis-28384	102	14	all	all	DET
bracis-28384	102	15	their	their	PRON
bracis-28384	102	16	medical	medical	ADJ
bracis-28384	102	17	notes	note	NOUN
bracis-28384	102	18	.	.	PUNCT
bracis-28384	103	1	before	before	ADP
bracis-28384	103	2	creating	create	VERB
bracis-28384	103	3	the	the	DET
bracis-28384	103	4	medical	medical	ADJ
bracis-28384	103	5	notes	note	NOUN
bracis-28384	103	6	bow	bow	VERB
bracis-28384	103	7	,	,	PUNCT
bracis-28384	103	8	the	the	DET
bracis-28384	103	9	text	text	NOUN
bracis-28384	103	10	was	be	AUX
bracis-28384	103	11	normalized	normalize	VERB
bracis-28384	103	12	as	as	SCONJ
bracis-28384	103	13	described	describe	VERB
bracis-28384	103	14	in	in	ADP
bracis-28384	103	15	the	the	DET
bracis-28384	103	16	preprocessing	preprocessing	NOUN
bracis-28384	103	17	sect	sect	NOUN
bracis-28384	103	18	.	.	PUNCT
bracis-28384	103	19	 	 	SPACE
bracis-28384	104	1	2	2	X
bracis-28384	104	2	.	.	PUNCT
bracis-28384	105	1	this	this	DET
bracis-28384	105	2	preprocessing	preprocessing	NOUN
bracis-28384	105	3	step	step	NOUN
bracis-28384	105	4	aims	aim	VERB
bracis-28384	105	5	to	to	PART
bracis-28384	105	6	reduce	reduce	VERB
bracis-28384	105	7	the	the	DET
bracis-28384	105	8	number	number	NOUN
bracis-28384	105	9	of	of	ADP
bracis-28384	105	10	useless	useless	ADJ
bracis-28384	105	11	words	word	NOUN
bracis-28384	105	12	,	,	PUNCT
bracis-28384	105	13	special	special	ADJ
bracis-28384	105	14	characters	character	NOUN
bracis-28384	105	15	,	,	PUNCT
bracis-28384	105	16	and	and	CCONJ
bracis-28384	105	17	punctuations	punctuation	NOUN
bracis-28384	105	18	,	,	PUNCT
bracis-28384	105	19	which	which	PRON
bracis-28384	105	20	would	would	AUX
bracis-28384	105	21	not	not	PART
bracis-28384	105	22	make	make	VERB
bracis-28384	105	23	a	a	DET
bracis-28384	105	24	difference	difference	NOUN
bracis-28384	105	25	in	in	ADP
bracis-28384	105	26	the	the	DET
bracis-28384	105	27	classifier	classifier	PROPN
bracis-28384	105	28	model	model	PROPN
bracis-28384	105	29	’s	’s	PART
bracis-28384	105	30	training	training	NOUN
bracis-28384	105	31	.	.	PUNCT
bracis-28384	106	1	it	it	PRON
bracis-28384	106	2	also	also	ADV
bracis-28384	106	3	helped	help	VERB
bracis-28384	106	4	to	to	PART
bracis-28384	106	5	reduce	reduce	VERB
bracis-28384	106	6	the	the	DET
bracis-28384	106	7	computational	computational	ADJ
bracis-28384	106	8	effort	effort	NOUN
bracis-28384	106	9	to	to	PART
bracis-28384	106	10	create	create	VERB
bracis-28384	106	11	the	the	DET
bracis-28384	106	12	bow	bow	NOUN
bracis-28384	106	13	.	.	PUNCT
bracis-28384	107	1	the	the	DET
bracis-28384	107	2	bow	bow	NOUN
bracis-28384	107	3	applied	apply	VERB
bracis-28384	107	4	to	to	ADP
bracis-28384	107	5	the	the	DET
bracis-28384	107	6	medical	medical	ADJ
bracis-28384	107	7	notes	note	NOUN
bracis-28384	107	8	resulted	result	VERB
bracis-28384	107	9	in	in	ADP
bracis-28384	107	10	a	a	DET
bracis-28384	107	11	sparse	sparse	ADJ
bracis-28384	107	12	representation	representation	NOUN
bracis-28384	107	13	,	,	PUNCT
bracis-28384	107	14	i.e.	i.e.	X
bracis-28384	107	15	,	,	PUNCT
bracis-28384	107	16	the	the	DET
bracis-28384	107	17	vector	vector	NOUN
bracis-28384	107	18	sequence	sequence	NOUN
bracis-28384	107	19	of	of	ADP
bracis-28384	107	20	numbers	number	NOUN
bracis-28384	107	21	representing	represent	VERB
bracis-28384	107	22	each	each	DET
bracis-28384	107	23	word	word	NOUN
bracis-28384	107	24	contained	contain	VERB
bracis-28384	107	25	too	too	ADV
bracis-28384	107	26	many	many	ADJ
bracis-28384	107	27	zeros	zero	NOUN
bracis-28384	107	28	.	.	PUNCT
bracis-28384	108	1	the	the	DET
bracis-28384	108	2	principal	principal	ADJ
bracis-28384	108	3	component	component	NOUN
bracis-28384	108	4	analysis	analysis	NOUN
bracis-28384	108	5	(	(	PUNCT
bracis-28384	108	6	pca	pca	NOUN
bracis-28384	108	7	)	)	PUNCT
bracis-28384	108	8	technique	technique	NOUN
bracis-28384	108	9	was	be	AUX
bracis-28384	108	10	applied	apply	VERB
bracis-28384	108	11	to	to	PART
bracis-28384	108	12	reduce	reduce	VERB
bracis-28384	108	13	the	the	DET
bracis-28384	108	14	data	datum	NOUN
bracis-28384	108	15	sparsity	sparsity	NOUN
bracis-28384	108	16	.	.	PUNCT
bracis-28384	109	1	the	the	DET
bracis-28384	109	2	pca	pca	PROPN
bracis-28384	109	3	technique	technique	NOUN
bracis-28384	109	4	converts	convert	VERB
bracis-28384	109	5	a	a	DET
bracis-28384	109	6	set	set	NOUN
bracis-28384	109	7	of	of	ADP
bracis-28384	109	8	observations	observation	NOUN
bracis-28384	109	9	of	of	ADP
bracis-28384	109	10	possibly	possibly	ADV
bracis-28384	109	11	correlated	correlate	VERB
bracis-28384	109	12	features	feature	NOUN
bracis-28384	109	13	into	into	ADP
bracis-28384	109	14	values	value	NOUN
bracis-28384	109	15	of	of	ADP
bracis-28384	109	16	linearly	linearly	ADV
bracis-28384	109	17	uncorrelated	uncorrelated	ADJ
bracis-28384	109	18	features	feature	NOUN
bracis-28384	109	19	.	.	PUNCT
bracis-28384	110	1	the	the	DET
bracis-28384	110	2	pca	pca	PROPN
bracis-28384	110	3	with	with	ADP
bracis-28384	110	4	500	500	NUM
bracis-28384	110	5	features	feature	NOUN
bracis-28384	110	6	was	be	AUX
bracis-28384	110	7	used	use	VERB
bracis-28384	110	8	.	.	PUNCT
bracis-28384	111	1	machine	machine	NOUN
bracis-28384	111	2	learning	learning	NOUN
bracis-28384	111	3	and	and	CCONJ
bracis-28384	111	4	deep	deep	ADJ
bracis-28384	111	5	learning	learning	NOUN
bracis-28384	111	6	architectures	architecture	NOUN
bracis-28384	111	7	.	.	PUNCT
bracis-28384	112	1	this	this	DET
bracis-28384	112	2	work	work	NOUN
bracis-28384	112	3	applied	apply	VERB
bracis-28384	112	4	machine	machine	NOUN
bracis-28384	112	5	learning	learning	NOUN
bracis-28384	112	6	and	and	CCONJ
bracis-28384	112	7	deep	deep	ADJ
bracis-28384	112	8	learning	learning	NOUN
bracis-28384	112	9	methods	method	NOUN
bracis-28384	112	10	for	for	ADP
bracis-28384	112	11	the	the	DET
bracis-28384	112	12	text	text	NOUN
bracis-28384	112	13	classification	classification	NOUN
bracis-28384	112	14	task	task	NOUN
bracis-28384	112	15	,	,	PUNCT
bracis-28384	112	16	comparing	compare	VERB
bracis-28384	112	17	their	their	PRON
bracis-28384	112	18	results	result	NOUN
bracis-28384	112	19	.	.	PUNCT
bracis-28384	113	1	several	several	ADJ
bracis-28384	113	2	machine	machine	NOUN
bracis-28384	113	3	learning	learn	VERB
bracis-28384	113	4	classification	classification	NOUN
bracis-28384	113	5	algorithms	algorithm	NOUN
bracis-28384	113	6	were	be	AUX
bracis-28384	113	7	applied	apply	VERB
bracis-28384	113	8	to	to	PART
bracis-28384	113	9	evaluate	evaluate	VERB
bracis-28384	113	10	which	which	DET
bracis-28384	113	11	one	one	PRON
bracis-28384	113	12	had	have	VERB
bracis-28384	113	13	the	the	DET
bracis-28384	113	14	best	good	ADJ
bracis-28384	113	15	performance	performance	NOUN
bracis-28384	113	16	.	.	PUNCT
bracis-28384	114	1	furthermore	furthermore	ADV
bracis-28384	114	2	,	,	PUNCT
bracis-28384	114	3	an	an	DET
bracis-28384	114	4	lstm	lstm	ADJ
bracis-28384	114	5	deep	deep	ADJ
bracis-28384	114	6	learning	learning	NOUN
bracis-28384	114	7	algorithm	algorithm	NOUN
bracis-28384	114	8	was	be	AUX
bracis-28384	114	9	also	also	ADV
bracis-28384	114	10	applied	apply	VERB
bracis-28384	114	11	to	to	PART
bracis-28384	114	12	compare	compare	VERB
bracis-28384	114	13	traditional	traditional	ADJ
bracis-28384	114	14	machine	machine	NOUN
bracis-28384	114	15	learning	learning	NOUN
bracis-28384	114	16	and	and	CCONJ
bracis-28384	114	17	a	a	DET
bracis-28384	114	18	deep	deep	ADJ
bracis-28384	114	19	learning	learning	NOUN
bracis-28384	114	20	recurrent	recurrent	ADJ
bracis-28384	114	21	neural	neural	ADJ
bracis-28384	114	22	network	network	NOUN
bracis-28384	114	23	.	.	PUNCT
bracis-28384	115	1	the	the	DET
bracis-28384	115	2	following	follow	VERB
bracis-28384	115	3	machine	machine	NOUN
bracis-28384	115	4	learning	learning	NOUN
bracis-28384	115	5	algorithms	algorithm	NOUN
bracis-28384	115	6	were	be	AUX
bracis-28384	115	7	evaluated	evaluate	VERB
bracis-28384	115	8	:	:	PUNCT
bracis-28384	115	9	multilayer	multilayer	PROPN
bracis-28384	115	10	perceptron	perceptron	PROPN
bracis-28384	115	11	(	(	PUNCT
bracis-28384	115	12	mlp	mlp	NOUN
bracis-28384	115	13	)	)	PUNCT
bracis-28384	115	14	neural	neural	ADJ
bracis-28384	115	15	network	network	NOUN
bracis-28384	115	16	[	[	X
bracis-28384	115	17	15	15	NUM
bracis-28384	115	18	]	]	X
bracis-28384	115	19	;	;	PUNCT
bracis-28384	116	1	logistic	logistic	ADJ
bracis-28384	116	2	regression	regression	NOUN
bracis-28384	116	3	[	[	X
bracis-28384	116	4	16	16	NUM
bracis-28384	116	5	]	]	X
bracis-28384	116	6	;	;	PUNCT
bracis-28384	116	7	decision	decision	NOUN
bracis-28384	116	8	tree	tree	NOUN
bracis-28384	116	9	classifier	classifier	NOUN
bracis-28384	117	1	[	[	X
bracis-28384	117	2	17	17	NUM
bracis-28384	117	3	]	]	X
bracis-28384	117	4	;	;	PUNCT
bracis-28384	117	5	random	random	ADJ
bracis-28384	117	6	forest	forest	NOUN
bracis-28384	117	7	classifier	classifier	NOUN
bracis-28384	118	1	[	[	X
bracis-28384	118	2	18	18	NUM
bracis-28384	118	3	]	]	X
bracis-28384	118	4	;	;	PUNCT
bracis-28384	118	5	k	k	X
bracis-28384	118	6	-	-	PUNCT
bracis-28384	118	7	nearest	near	ADJ
bracis-28384	118	8	neighbors	neighbor	NOUN
bracis-28384	118	9	(	(	PUNCT
bracis-28384	118	10	knn	knn	PROPN
bracis-28384	118	11	)	)	PUNCT
bracis-28384	118	12	classifier	classifier	NOUN
bracis-28384	119	1	[	[	X
bracis-28384	119	2	19	19	NUM
bracis-28384	119	3	]	]	PUNCT
bracis-28384	119	4	.	.	PUNCT
bracis-28384	120	1	furthermore	furthermore	ADV
bracis-28384	120	2	,	,	PUNCT
bracis-28384	120	3	a	a	DET
bracis-28384	120	4	long	long	ADV
bracis-28384	120	5	-	-	PUNCT
bracis-28384	120	6	short	short	ADJ
bracis-28384	120	7	term	term	NOUN
bracis-28384	120	8	memory	memory	NOUN
bracis-28384	120	9	(	(	PUNCT
bracis-28384	120	10	lstm	lstm	NOUN
bracis-28384	120	11	)	)	PUNCT
bracis-28384	120	12	deep	deep	ADJ
bracis-28384	120	13	learning	learning	NOUN
bracis-28384	120	14	experiment	experiment	NOUN
bracis-28384	120	15	was	be	AUX
bracis-28384	120	16	also	also	ADV
bracis-28384	120	17	performed	perform	VERB
bracis-28384	120	18	.	.	PUNCT
bracis-28384	121	1	the	the	DET
bracis-28384	121	2	machine	machine	NOUN
bracis-28384	121	3	learning	learn	VERB
bracis-28384	121	4	classification	classification	NOUN
bracis-28384	121	5	and	and	CCONJ
bracis-28384	121	6	the	the	DET
bracis-28384	121	7	deep	deep	ADJ
bracis-28384	121	8	learning	learning	NOUN
bracis-28384	121	9	architecture	architecture	NOUN
bracis-28384	121	10	used	use	VERB
bracis-28384	121	11	are	be	AUX
bracis-28384	121	12	described	describe	VERB
bracis-28384	121	13	,	,	PUNCT
bracis-28384	121	14	regarding	regard	VERB
bracis-28384	121	15	their	their	PRON
bracis-28384	121	16	algorithms	algorithm	NOUN
bracis-28384	121	17	and	and	CCONJ
bracis-28384	121	18	their	their	PRON
bracis-28384	121	19	theoretical	theoretical	ADJ
bracis-28384	121	20	background	background	NOUN
bracis-28384	121	21	,	,	PUNCT
bracis-28384	121	22	in	in	ADP
bracis-28384	121	23	the	the	DET
bracis-28384	121	24	following	follow	VERB
bracis-28384	121	25	papers	paper	NOUN
bracis-28384	121	26	[	[	X
bracis-28384	121	27	20,21,22	20,21,22	NUM
bracis-28384	121	28	]	]	X
bracis-28384	121	29	.	.	PUNCT
bracis-28384	122	1	the	the	DET
bracis-28384	122	2	datasets	dataset	NOUN
bracis-28384	122	3	were	be	AUX
bracis-28384	122	4	divided	divide	VERB
bracis-28384	122	5	into	into	ADP
bracis-28384	122	6	two	two	NUM
bracis-28384	122	7	groups	group	NOUN
bracis-28384	122	8	:	:	PUNCT
bracis-28384	122	9	one	one	NUM
bracis-28384	122	10	with	with	ADP
bracis-28384	122	11	80	80	NUM
bracis-28384	122	12	%	%	NOUN
bracis-28384	122	13	of	of	ADP
bracis-28384	122	14	the	the	DET
bracis-28384	122	15	data	datum	NOUN
bracis-28384	122	16	to	to	PART
bracis-28384	122	17	train	train	VERB
bracis-28384	122	18	the	the	DET
bracis-28384	122	19	models	model	NOUN
bracis-28384	122	20	and	and	CCONJ
bracis-28384	122	21	20	20	NUM
bracis-28384	122	22	%	%	NOUN
bracis-28384	122	23	of	of	ADP
bracis-28384	122	24	the	the	DET
bracis-28384	122	25	data	datum	NOUN
bracis-28384	122	26	to	to	PART
bracis-28384	122	27	test	test	VERB
bracis-28384	122	28	the	the	DET
bracis-28384	122	29	models	model	NOUN
bracis-28384	122	30	.	.	PUNCT
bracis-28384	123	1	the	the	DET
bracis-28384	123	2	data	datum	NOUN
bracis-28384	123	3	were	be	AUX
bracis-28384	123	4	shuffled	shuffle	VERB
bracis-28384	123	5	to	to	PART
bracis-28384	123	6	keep	keep	VERB
bracis-28384	123	7	the	the	DET
bracis-28384	123	8	categories	category	NOUN
bracis-28384	123	9	’	'	PUNCT
bracis-28384	123	10	proportion	proportion	NOUN
bracis-28384	123	11	,	,	PUNCT
bracis-28384	123	12	and	and	CCONJ
bracis-28384	123	13	then	then	ADV
bracis-28384	123	14	they	they	PRON
bracis-28384	123	15	were	be	AUX
bracis-28384	123	16	divided	divide	VERB
bracis-28384	123	17	as	as	ADP
bracis-28384	123	18	aforementioned	aforementione	VERB
bracis-28384	123	19	.	.	PUNCT
bracis-28384	124	1	the	the	DET
bracis-28384	124	2	machine	machine	NOUN
bracis-28384	124	3	learning	learn	VERB
bracis-28384	124	4	algorithms	algorithm	NOUN
bracis-28384	124	5	were	be	AUX
bracis-28384	124	6	implemented	implement	VERB
bracis-28384	124	7	using	use	VERB
bracis-28384	124	8	scikit	scikit	NOUN
bracis-28384	124	9	-	-	PUNCT
bracis-28384	124	10	learnfootnote	learnfootnote	NOUN
bracis-28384	124	11	1	1	NUM
bracis-28384	124	12	,	,	PUNCT
bracis-28384	124	13	and	and	CCONJ
bracis-28384	124	14	the	the	DET
bracis-28384	124	15	deep	deep	ADJ
bracis-28384	124	16	learning	learning	NOUN
bracis-28384	124	17	lstm	lstm	NOUN
bracis-28384	124	18	was	be	AUX
bracis-28384	124	19	performed	perform	VERB
bracis-28384	124	20	using	use	VERB
bracis-28384	124	21	keras	keras	PROPN
bracis-28384	124	22	libraryfootnote	libraryfootnote	ADJ
bracis-28384	124	23	2	2	NUM
bracis-28384	124	24	,	,	PUNCT
bracis-28384	124	25	both	both	PRON
bracis-28384	124	26	were	be	AUX
bracis-28384	124	27	implemented	implement	VERB
bracis-28384	124	28	in	in	ADP
bracis-28384	124	29	python	python	PROPN
bracis-28384	124	30	.	.	PUNCT
bracis-28384	125	1	in	in	ADP
bracis-28384	125	2	the	the	DET
bracis-28384	125	3	first	first	ADJ
bracis-28384	125	4	set	set	NOUN
bracis-28384	125	5	of	of	ADP
bracis-28384	125	6	experiments	experiment	NOUN
bracis-28384	125	7	,	,	PUNCT
bracis-28384	125	8	seven	seven	NUM
bracis-28384	125	9	tests	test	NOUN
bracis-28384	125	10	were	be	AUX
bracis-28384	125	11	performed	perform	VERB
bracis-28384	125	12	,	,	PUNCT
bracis-28384	125	13	with	with	ADP
bracis-28384	125	14	the	the	DET
bracis-28384	125	15	following	follow	VERB
bracis-28384	125	16	architecture	architecture	NOUN
bracis-28384	125	17	details	detail	NOUN
bracis-28384	125	18	:	:	PUNCT
bracis-28384	125	19	an	an	DET
bracis-28384	125	20	mlp	mlp	NOUN
bracis-28384	125	21	with	with	ADP
bracis-28384	125	22	one	one	NUM
bracis-28384	125	23	hidden	hide	VERB
bracis-28384	125	24	layer	layer	NOUN
bracis-28384	125	25	with	with	ADP
bracis-28384	125	26	500	500	NUM
bracis-28384	125	27	neurons	neuron	NOUN
bracis-28384	125	28	;	;	PUNCT
bracis-28384	125	29	an	an	DET
bracis-28384	125	30	mlp	mlp	NOUN
bracis-28384	125	31	with	with	ADP
bracis-28384	125	32	two	two	NUM
bracis-28384	125	33	hidden	hidden	ADJ
bracis-28384	125	34	layers	layer	NOUN
bracis-28384	125	35	with	with	ADP
bracis-28384	125	36	800	800	NUM
bracis-28384	125	37	and	and	CCONJ
bracis-28384	125	38	500	500	NUM
bracis-28384	125	39	neurons	neuron	NOUN
bracis-28384	125	40	;	;	PUNCT
bracis-28384	125	41	a	a	DET
bracis-28384	125	42	logistic	logistic	ADJ
bracis-28384	125	43	regression	regression	NOUN
bracis-28384	125	44	classifier	classifier	NOUN
bracis-28384	125	45	;	;	PUNCT
bracis-28384	125	46	a	a	DET
bracis-28384	125	47	decision	decision	NOUN
bracis-28384	125	48	tree	tree	NOUN
bracis-28384	125	49	with	with	ADP
bracis-28384	125	50	a	a	DET
bracis-28384	125	51	maximum	maximum	NOUN
bracis-28384	125	52	of	of	ADP
bracis-28384	125	53	twenty	twenty	NUM
bracis-28384	125	54	levels	level	NOUN
bracis-28384	125	55	and	and	CCONJ
bracis-28384	125	56	three	three	NUM
bracis-28384	125	57	samples	sample	NOUN
bracis-28384	125	58	by	by	ADP
bracis-28384	125	59	leaf	leaf	NOUN
bracis-28384	125	60	;	;	PUNCT
bracis-28384	125	61	a	a	DET
bracis-28384	125	62	random	random	ADJ
bracis-28384	125	63	forest	forest	NOUN
bracis-28384	125	64	with	with	ADP
bracis-28384	125	65	a	a	DET
bracis-28384	125	66	maximum	maximum	NOUN
bracis-28384	125	67	of	of	ADP
bracis-28384	125	68	twenty	twenty	NUM
bracis-28384	125	69	levels	level	NOUN
bracis-28384	125	70	and	and	CCONJ
bracis-28384	125	71	three	three	NUM
bracis-28384	125	72	samples	sample	NOUN
bracis-28384	125	73	by	by	ADP
bracis-28384	125	74	leaf	leaf	NOUN
bracis-28384	125	75	;	;	PUNCT
bracis-28384	125	76	an	an	DET
bracis-28384	125	77	extra	extra	ADJ
bracis-28384	125	78	trees	tree	NOUN
bracis-28384	125	79	with	with	ADP
bracis-28384	125	80	a	a	DET
bracis-28384	125	81	maximum	maximum	NOUN
bracis-28384	125	82	of	of	ADP
bracis-28384	125	83	twenty	twenty	NUM
bracis-28384	125	84	levels	level	NOUN
bracis-28384	125	85	and	and	CCONJ
bracis-28384	125	86	three	three	NUM
bracis-28384	125	87	samples	sample	NOUN
bracis-28384	125	88	by	by	ADP
bracis-28384	125	89	leaf	leaf	NOUN
bracis-28384	125	90	;	;	PUNCT
bracis-28384	125	91	a	a	DET
bracis-28384	125	92	knn	knn	NOUN
bracis-28384	125	93	classifier	classifier	NOUN
bracis-28384	125	94	with	with	ADP
bracis-28384	125	95	a	a	DET
bracis-28384	125	96	unitary	unitary	ADJ
bracis-28384	125	97	k.	k.	NOUN
bracis-28384	125	98	the	the	DET
bracis-28384	125	99	second	second	ADJ
bracis-28384	125	100	set	set	NOUN
bracis-28384	125	101	of	of	ADP
bracis-28384	125	102	experiments	experiment	NOUN
bracis-28384	125	103	was	be	AUX
bracis-28384	125	104	performed	perform	VERB
bracis-28384	125	105	this	this	DET
bracis-28384	125	106	time	time	NOUN
bracis-28384	125	107	with	with	ADP
bracis-28384	125	108	the	the	DET
bracis-28384	125	109	12	12	NUM
bracis-28384	125	110	most	most	ADV
bracis-28384	125	111	occurring	occur	VERB
bracis-28384	125	112	diagnoses	diagnosis	NOUN
bracis-28384	125	113	in	in	ADP
bracis-28384	125	114	the	the	DET
bracis-28384	125	115	dataset	dataset	NOUN
bracis-28384	125	116	.	.	PUNCT
bracis-28384	126	1	for	for	ADP
bracis-28384	126	2	this	this	DET
bracis-28384	126	3	experiment	experiment	NOUN
bracis-28384	126	4	,	,	PUNCT
bracis-28384	126	5	the	the	DET
bracis-28384	126	6	best	well	ADV
bracis-28384	126	7	-	-	PUNCT
bracis-28384	126	8	performing	perform	VERB
bracis-28384	126	9	machine	machine	NOUN
bracis-28384	126	10	learning	learning	NOUN
bracis-28384	126	11	was	be	AUX
bracis-28384	126	12	selected	select	VERB
bracis-28384	126	13	to	to	PART
bracis-28384	126	14	compare	compare	VERB
bracis-28384	126	15	with	with	ADP
bracis-28384	126	16	an	an	DET
bracis-28384	126	17	lstm	lstm	ADJ
bracis-28384	126	18	deep	deep	ADJ
bracis-28384	126	19	learning	learn	VERB
bracis-28384	126	20	recurrent	recurrent	ADJ
bracis-28384	126	21	neural	neural	ADJ
bracis-28384	126	22	network	network	NOUN
bracis-28384	126	23	.	.	PUNCT
bracis-28384	127	1	the	the	DET
bracis-28384	127	2	machine	machine	NOUN
bracis-28384	127	3	learning	learn	VERB
bracis-28384	127	4	algorithm	algorithm	NOUN
bracis-28384	127	5	had	have	VERB
bracis-28384	127	6	the	the	DET
bracis-28384	127	7	following	follow	VERB
bracis-28384	127	8	architecture	architecture	NOUN
bracis-28384	127	9	:	:	PUNCT
bracis-28384	127	10	an	an	DET
bracis-28384	127	11	mlp	mlp	NOUN
bracis-28384	127	12	with	with	ADP
bracis-28384	127	13	two	two	NUM
bracis-28384	127	14	hidden	hidden	ADJ
bracis-28384	127	15	layers	layer	NOUN
bracis-28384	127	16	with	with	ADP
bracis-28384	127	17	800	800	NUM
bracis-28384	127	18	and	and	CCONJ
bracis-28384	127	19	500	500	NUM
bracis-28384	127	20	neurons	neuron	NOUN
bracis-28384	127	21	.	.	PUNCT
bracis-28384	128	1	the	the	DET
bracis-28384	128	2	deep	deep	ADJ
bracis-28384	128	3	learning	learning	NOUN
bracis-28384	128	4	algorithm	algorithm	NOUN
bracis-28384	128	5	had	have	VERB
bracis-28384	128	6	the	the	DET
bracis-28384	128	7	following	follow	VERB
bracis-28384	128	8	architecture	architecture	NOUN
bracis-28384	128	9	:	:	PUNCT
bracis-28384	128	10	an	an	DET
bracis-28384	128	11	lstm	lstm	NOUN
bracis-28384	128	12	with	with	ADP
bracis-28384	128	13	the	the	DET
bracis-28384	128	14	library	library	NOUN
bracis-28384	128	15	keras	keras	PROPN
bracis-28384	128	16	built	build	VERB
bracis-28384	128	17	on	on	ADP
bracis-28384	128	18	top	top	NOUN
bracis-28384	128	19	of	of	ADP
bracis-28384	128	20	tensorflow	tensorflow	NOUN
bracis-28384	128	21	in	in	ADP
bracis-28384	128	22	a	a	DET
bracis-28384	128	23	python	python	NOUN
bracis-28384	128	24	implementation	implementation	NOUN
bracis-28384	128	25	,	,	PUNCT
bracis-28384	128	26	in	in	ADP
bracis-28384	128	27	which	which	PRON
bracis-28384	128	28	the	the	DET
bracis-28384	128	29	parametrization	parametrization	NOUN
bracis-28384	128	30	used	use	VERB
bracis-28384	128	31	was	be	AUX
bracis-28384	128	32	composed	compose	VERB
bracis-28384	128	33	of	of	ADP
bracis-28384	128	34	batch	batch	NOUN
bracis-28384	128	35	size	size	NOUN
bracis-28384	128	36	128	128	NUM
bracis-28384	128	37	,	,	PUNCT
bracis-28384	128	38	the	the	DET
bracis-28384	128	39	dropout	dropout	NOUN
bracis-28384	128	40	rate	rate	NOUN
bracis-28384	128	41	of	of	ADP
bracis-28384	128	42	0.2	0.2	NUM
bracis-28384	128	43	,	,	PUNCT
bracis-28384	128	44	validation	validation	NOUN
bracis-28384	128	45	split	split	NOUN
bracis-28384	128	46	of	of	ADP
bracis-28384	128	47	0.2	0.2	NUM
bracis-28384	128	48	,	,	PUNCT
bracis-28384	128	49	optimizer	optimizer	NOUN
bracis-28384	128	50	with	with	ADP
bracis-28384	128	51	adam	adam	PROPN
bracis-28384	128	52	,	,	PUNCT
bracis-28384	128	53	loss	loss	NOUN
bracis-28384	128	54	measure	measure	NOUN
bracis-28384	128	55	was	be	AUX
bracis-28384	128	56	categorical	categorical	ADJ
bracis-28384	128	57	cross	cross	NOUN
bracis-28384	128	58	-	-	NOUN
bracis-28384	128	59	entropy	entropy	NOUN
bracis-28384	128	60	.	.	PUNCT
bracis-28384	129	1	also	also	ADV
bracis-28384	129	2	,	,	PUNCT
bracis-28384	129	3	to	to	PART
bracis-28384	129	4	prevent	prevent	VERB
bracis-28384	129	5	overfitting	overfitting	NOUN
bracis-28384	129	6	,	,	PUNCT
bracis-28384	129	7	earlystopping	earlystopping	NOUN
bracis-28384	129	8	was	be	AUX
bracis-28384	129	9	used	use	VERB
bracis-28384	129	10	.	.	PUNCT
bracis-28384	130	1	standard	standard	ADJ
bracis-28384	130	2	values	value	NOUN
bracis-28384	130	3	for	for	ADP
bracis-28384	130	4	the	the	DET
bracis-28384	130	5	parameters	parameter	NOUN
bracis-28384	130	6	were	be	AUX
bracis-28384	130	7	used	use	VERB
bracis-28384	130	8	in	in	ADP
bracis-28384	130	9	these	these	DET
bracis-28384	130	10	experiments	experiment	NOUN
bracis-28384	130	11	,	,	PUNCT
bracis-28384	130	12	as	as	SCONJ
bracis-28384	130	13	described	describe	VERB
bracis-28384	130	14	in	in	ADP
bracis-28384	130	15	the	the	DET
bracis-28384	130	16	literature	literature	NOUN
bracis-28384	130	17	.	.	PUNCT
bracis-28384	131	1	all	all	DET
bracis-28384	131	2	the	the	DET
bracis-28384	131	3	described	describe	VERB
bracis-28384	131	4	models	model	NOUN
bracis-28384	131	5	were	be	AUX
bracis-28384	131	6	evaluated	evaluate	VERB
bracis-28384	131	7	using	use	VERB
bracis-28384	131	8	standard	standard	ADJ
bracis-28384	131	9	metrics	metric	NOUN
bracis-28384	131	10	indicated	indicate	VERB
bracis-28384	131	11	in	in	ADP
bracis-28384	131	12	the	the	DET
bracis-28384	131	13	literature	literature	NOUN
bracis-28384	131	14	,	,	PUNCT
bracis-28384	131	15	such	such	ADJ
bracis-28384	131	16	as	as	ADP
bracis-28384	131	17	accuracy	accuracy	NOUN
bracis-28384	131	18	and	and	CCONJ
bracis-28384	131	19	macro	macro	NOUN
bracis-28384	131	20	and	and	CCONJ
bracis-28384	131	21	weighted	weight	VERB
bracis-28384	131	22	f1	f1	PROPN
bracis-28384	131	23	scores	score	NOUN
bracis-28384	131	24	.	.	PUNCT
bracis-28384	132	1	3	3	NUM
bracis-28384	132	2	experiments	experiment	NOUN
bracis-28384	132	3	and	and	CCONJ
bracis-28384	132	4	 	 	SPACE
bracis-28384	132	5	results	result	VERB
bracis-28384	132	6	several	several	ADJ
bracis-28384	132	7	machine	machine	NOUN
bracis-28384	132	8	learning	learn	VERB
bracis-28384	132	9	classifiers	classifier	NOUN
bracis-28384	132	10	and	and	CCONJ
bracis-28384	132	11	a	a	DET
bracis-28384	132	12	deep	deep	ADJ
bracis-28384	132	13	learning	learning	NOUN
bracis-28384	132	14	recurrent	recurrent	ADJ
bracis-28384	132	15	neural	neural	ADJ
bracis-28384	132	16	network	network	NOUN
bracis-28384	132	17	were	be	AUX
bracis-28384	132	18	applied	apply	VERB
bracis-28384	132	19	in	in	ADP
bracis-28384	132	20	this	this	DET
bracis-28384	132	21	work	work	NOUN
bracis-28384	132	22	’s	’s	PART
bracis-28384	132	23	experiments	experiment	NOUN
bracis-28384	132	24	.	.	PUNCT
bracis-28384	133	1	the	the	DET
bracis-28384	133	2	main	main	ADJ
bracis-28384	133	3	objective	objective	NOUN
bracis-28384	133	4	of	of	ADP
bracis-28384	133	5	these	these	DET
bracis-28384	133	6	experiments	experiment	NOUN
bracis-28384	133	7	was	be	AUX
bracis-28384	133	8	to	to	PART
bracis-28384	133	9	address	address	VERB
bracis-28384	133	10	the	the	DET
bracis-28384	133	11	main	main	ADJ
bracis-28384	133	12	research	research	NOUN
bracis-28384	133	13	question	question	NOUN
bracis-28384	133	14	and	and	CCONJ
bracis-28384	133	15	identify	identify	VERB
bracis-28384	133	16	a	a	DET
bracis-28384	133	17	possible	possible	ADJ
bracis-28384	133	18	workflow	workflow	NOUN
bracis-28384	133	19	to	to	PART
bracis-28384	133	20	use	use	VERB
bracis-28384	133	21	the	the	DET
bracis-28384	133	22	dataset	dataset	NOUN
bracis-28384	133	23	and	and	CCONJ
bracis-28384	133	24	text	text	NOUN
bracis-28384	133	25	classification	classification	NOUN
bracis-28384	133	26	algorithms	algorithm	NOUN
bracis-28384	133	27	to	to	PART
bracis-28384	133	28	evaluate	evaluate	VERB
bracis-28384	133	29	potential	potential	ADJ
bracis-28384	133	30	support	support	NOUN
bracis-28384	133	31	for	for	ADP
bracis-28384	133	32	healthcare	healthcare	NOUN
bracis-28384	133	33	professionals	professional	NOUN
bracis-28384	133	34	.	.	PUNCT
bracis-28384	134	1	the	the	DET
bracis-28384	134	2	dataset	dataset	NOUN
bracis-28384	134	3	used	use	VERB
bracis-28384	134	4	was	be	AUX
bracis-28384	134	5	composed	compose	VERB
bracis-28384	134	6	of	of	ADP
bracis-28384	134	7	an	an	DET
bracis-28384	134	8	arrangement	arrangement	NOUN
bracis-28384	134	9	of	of	ADP
bracis-28384	134	10	the	the	DET
bracis-28384	134	11	available	available	ADJ
bracis-28384	134	12	options	option	NOUN
bracis-28384	134	13	,	,	PUNCT
bracis-28384	134	14	using	use	VERB
bracis-28384	134	15	the	the	DET
bracis-28384	134	16	per	per	ADP
bracis-28384	134	17	-	-	PUNCT
bracis-28384	134	18	clinical	clinical	NOUN
bracis-28384	134	19	-	-	PUNCT
bracis-28384	134	20	event	event	NOUN
bracis-28384	134	21	and	and	CCONJ
bracis-28384	134	22	the	the	DET
bracis-28384	134	23	per	per	ADP
bracis-28384	134	24	-	-	PUNCT
bracis-28384	134	25	patient	patient	NOUN
bracis-28384	134	26	versions	version	NOUN
bracis-28384	134	27	.	.	PUNCT
bracis-28384	135	1	the	the	DET
bracis-28384	135	2	complete	complete	ADJ
bracis-28384	135	3	dataset	dataset	NOUN
bracis-28384	135	4	with	with	ADP
bracis-28384	135	5	several	several	ADJ
bracis-28384	135	6	machine	machine	NOUN
bracis-28384	135	7	learning	learn	VERB
bracis-28384	135	8	text	text	NOUN
bracis-28384	135	9	classification	classification	NOUN
bracis-28384	135	10	algorithms	algorithm	NOUN
bracis-28384	135	11	was	be	AUX
bracis-28384	135	12	used	use	VERB
bracis-28384	135	13	in	in	ADP
bracis-28384	135	14	the	the	DET
bracis-28384	135	15	first	first	ADJ
bracis-28384	135	16	step	step	NOUN
bracis-28384	135	17	.	.	PUNCT
bracis-28384	136	1	both	both	DET
bracis-28384	136	2	datasets	dataset	NOUN
bracis-28384	136	3	(	(	PUNCT
bracis-28384	136	4	per	per	ADP
bracis-28384	136	5	clinical	clinical	ADJ
bracis-28384	136	6	event	event	NOUN
bracis-28384	136	7	and	and	CCONJ
bracis-28384	136	8	per	per	ADP
bracis-28384	136	9	-	-	PUNCT
bracis-28384	136	10	patient	patient	NOUN
bracis-28384	136	11	)	)	PUNCT
bracis-28384	136	12	were	be	AUX
bracis-28384	136	13	used	use	VERB
bracis-28384	136	14	in	in	ADP
bracis-28384	136	15	this	this	DET
bracis-28384	136	16	experiment	experiment	NOUN
bracis-28384	136	17	.	.	PUNCT
bracis-28384	137	1	in	in	ADP
bracis-28384	137	2	the	the	DET
bracis-28384	137	3	second	second	ADJ
bracis-28384	137	4	step	step	NOUN
bracis-28384	137	5	,	,	PUNCT
bracis-28384	137	6	a	a	DET
bracis-28384	137	7	new	new	ADJ
bracis-28384	137	8	experiment	experiment	NOUN
bracis-28384	137	9	was	be	AUX
bracis-28384	137	10	carried	carry	VERB
bracis-28384	137	11	out	out	ADP
bracis-28384	137	12	involving	involve	VERB
bracis-28384	137	13	the	the	DET
bracis-28384	137	14	per	per	ADP
bracis-28384	137	15	-	-	PUNCT
bracis-28384	137	16	patient	patient	NOUN
bracis-28384	137	17	dataset	dataset	NOUN
bracis-28384	137	18	and	and	CCONJ
bracis-28384	137	19	the	the	DET
bracis-28384	137	20	algorithms	algorithms	NOUN
bracis-28384	137	21	mlp	mlp	PROPN
bracis-28384	137	22	and	and	CCONJ
bracis-28384	137	23	lstm	lstm	PROPN
bracis-28384	137	24	.	.	PUNCT
bracis-28384	138	1	the	the	DET
bracis-28384	138	2	per	per	ADP
bracis-28384	138	3	-	-	PUNCT
bracis-28384	138	4	patient	patient	NOUN
bracis-28384	138	5	dataset	dataset	NOUN
bracis-28384	138	6	was	be	AUX
bracis-28384	138	7	chosen	choose	VERB
bracis-28384	138	8	in	in	ADP
bracis-28384	138	9	the	the	DET
bracis-28384	138	10	second	second	ADJ
bracis-28384	138	11	step	step	NOUN
bracis-28384	138	12	because	because	SCONJ
bracis-28384	138	13	all	all	DET
bracis-28384	138	14	patient	patient	NOUN
bracis-28384	138	15	’s	’s	PART
bracis-28384	138	16	clinical	clinical	ADJ
bracis-28384	138	17	notes	note	NOUN
bracis-28384	138	18	were	be	AUX
bracis-28384	138	19	joined	join	VERB
bracis-28384	138	20	into	into	ADP
bracis-28384	138	21	a	a	DET
bracis-28384	138	22	single	single	ADJ
bracis-28384	138	23	record	record	NOUN
bracis-28384	138	24	,	,	PUNCT
bracis-28384	138	25	which	which	PRON
bracis-28384	138	26	would	would	AUX
bracis-28384	138	27	perform	perform	VERB
bracis-28384	138	28	better	well	ADV
bracis-28384	138	29	considering	consider	VERB
bracis-28384	138	30	the	the	DET
bracis-28384	138	31	lstm	lstm	NOUN
bracis-28384	138	32	’s	’s	PART
bracis-28384	138	33	ability	ability	NOUN
bracis-28384	138	34	to	to	PART
bracis-28384	138	35	process	process	VERB
bracis-28384	138	36	entire	entire	ADJ
bracis-28384	138	37	sequences	sequence	NOUN
bracis-28384	138	38	of	of	ADP
bracis-28384	138	39	data	datum	NOUN
bracis-28384	138	40	.	.	PUNCT
bracis-28384	139	1	all	all	DET
bracis-28384	139	2	methods	method	NOUN
bracis-28384	139	3	were	be	AUX
bracis-28384	139	4	executed	execute	VERB
bracis-28384	139	5	on	on	ADP
bracis-28384	139	6	a	a	DET
bracis-28384	139	7	partition	partition	NOUN
bracis-28384	139	8	,	,	PUNCT
bracis-28384	139	9	then	then	ADV
bracis-28384	139	10	repartitioned	repartitione	VERB
bracis-28384	139	11	and	and	CCONJ
bracis-28384	139	12	reran	rerun	VERB
bracis-28384	139	13	all	all	DET
bracis-28384	139	14	methods	method	NOUN
bracis-28384	139	15	to	to	PART
bracis-28384	139	16	get	get	VERB
bracis-28384	139	17	the	the	DET
bracis-28384	139	18	mean	mean	ADJ
bracis-28384	139	19	accuracy	accuracy	NOUN
bracis-28384	139	20	.	.	PUNCT
bracis-28384	140	1	therefore	therefore	ADV
bracis-28384	140	2	,	,	PUNCT
bracis-28384	140	3	two	two	NUM
bracis-28384	140	4	main	main	ADJ
bracis-28384	140	5	experiments	experiment	NOUN
bracis-28384	140	6	were	be	AUX
bracis-28384	140	7	performed	perform	VERB
bracis-28384	140	8	:	:	PUNCT
bracis-28384	140	9	a	a	X
bracis-28384	140	10	)	)	PUNCT
bracis-28384	140	11	machine	machine	NOUN
bracis-28384	140	12	learning	learn	VERB
bracis-28384	140	13	several	several	ADJ
bracis-28384	140	14	machine	machine	NOUN
bracis-28384	140	15	learning	learn	VERB
bracis-28384	140	16	classifiers	classifier	NOUN
bracis-28384	140	17	have	have	AUX
bracis-28384	140	18	been	be	AUX
bracis-28384	140	19	experimented	experiment	VERB
bracis-28384	140	20	with	with	ADP
bracis-28384	140	21	and	and	CCONJ
bracis-28384	140	22	their	their	PRON
bracis-28384	140	23	performance	performance	NOUN
bracis-28384	140	24	compared	compare	VERB
bracis-28384	140	25	(	(	PUNCT
bracis-28384	140	26	described	describe	VERB
bracis-28384	140	27	in	in	ADP
bracis-28384	140	28	sect	sect	NOUN
bracis-28384	140	29	.	.	PUNCT
bracis-28384	140	30	 	 	SPACE
bracis-28384	140	31	3.1	3.1	NUM
bracis-28384	140	32	)	)	PUNCT
bracis-28384	140	33	;	;	PUNCT
bracis-28384	140	34	b	b	X
bracis-28384	140	35	)	)	PUNCT
bracis-28384	140	36	deep	deep	ADJ
bracis-28384	140	37	learning	learn	VERB
bracis-28384	140	38	an	an	DET
bracis-28384	140	39	experiment	experiment	NOUN
bracis-28384	140	40	with	with	ADP
bracis-28384	140	41	a	a	DET
bracis-28384	140	42	deep	deep	ADJ
bracis-28384	140	43	learning	learning	NOUN
bracis-28384	140	44	recurrent	recurrent	ADJ
bracis-28384	140	45	neural	neural	ADJ
bracis-28384	140	46	network	network	NOUN
bracis-28384	140	47	was	be	AUX
bracis-28384	140	48	performed	perform	VERB
bracis-28384	140	49	(	(	PUNCT
bracis-28384	140	50	described	describe	VERB
bracis-28384	140	51	in	in	ADP
bracis-28384	140	52	sect	sect	NOUN
bracis-28384	140	53	.	.	PUNCT
bracis-28384	140	54	 	 	SPACE
bracis-28384	140	55	3.2	3.2	NUM
bracis-28384	140	56	)	)	PUNCT
bracis-28384	140	57	.	.	PUNCT
bracis-28384	141	1	to	to	PART
bracis-28384	141	2	measure	measure	VERB
bracis-28384	141	3	performance	performance	NOUN
bracis-28384	141	4	in	in	ADP
bracis-28384	141	5	the	the	DET
bracis-28384	141	6	experiments	experiment	NOUN
bracis-28384	141	7	,	,	PUNCT
bracis-28384	141	8	we	we	PRON
bracis-28384	141	9	use	use	VERB
bracis-28384	141	10	different	different	ADJ
bracis-28384	141	11	metrics	metric	NOUN
bracis-28384	141	12	in	in	ADP
bracis-28384	141	13	this	this	DET
bracis-28384	141	14	study	study	NOUN
bracis-28384	141	15	:	:	PUNCT
bracis-28384	141	16	accuracy	accuracy	NOUN
bracis-28384	141	17	,	,	PUNCT
bracis-28384	141	18	macro	macro	NOUN
bracis-28384	141	19	,	,	PUNCT
bracis-28384	141	20	and	and	CCONJ
bracis-28384	141	21	weighted	weight	VERB
bracis-28384	141	22	f1	f1	PROPN
bracis-28384	141	23	score	score	NOUN
bracis-28384	142	1	[	[	X
bracis-28384	142	2	20	20	NUM
bracis-28384	142	3	]	]	PUNCT
bracis-28384	142	4	.	.	PUNCT
bracis-28384	143	1	the	the	DET
bracis-28384	143	2	predicted	predict	VERB
bracis-28384	143	3	output	output	NOUN
bracis-28384	143	4	as	as	ADP
bracis-28384	143	5	true	true	ADJ
bracis-28384	143	6	positive	positive	ADJ
bracis-28384	143	7	(	(	PUNCT
bracis-28384	143	8	tp	tp	NOUN
bracis-28384	143	9	)	)	PUNCT
bracis-28384	143	10	indicates	indicate	VERB
bracis-28384	143	11	text	text	NOUN
bracis-28384	143	12	classified	classify	VERB
bracis-28384	143	13	as	as	ADP
bracis-28384	143	14	correct	correct	ADJ
bracis-28384	143	15	,	,	PUNCT
bracis-28384	143	16	true	true	ADJ
bracis-28384	143	17	negative	negative	ADJ
bracis-28384	143	18	(	(	PUNCT
bracis-28384	143	19	tn	tn	NOUN
bracis-28384	143	20	)	)	PUNCT
bracis-28384	143	21	when	when	SCONJ
bracis-28384	143	22	classified	classify	VERB
bracis-28384	143	23	incorrectly	incorrectly	ADV
bracis-28384	143	24	.	.	PUNCT
bracis-28384	144	1	false	false	ADJ
bracis-28384	144	2	positive	positive	ADJ
bracis-28384	144	3	(	(	PUNCT
bracis-28384	144	4	fp	fp	NOUN
bracis-28384	144	5	)	)	PUNCT
bracis-28384	144	6	if	if	SCONJ
bracis-28384	144	7	a	a	DET
bracis-28384	144	8	text	text	NOUN
bracis-28384	144	9	correctly	correctly	ADV
bracis-28384	144	10	indicates	indicate	VERB
bracis-28384	144	11	not	not	PART
bracis-28384	144	12	belonging	belong	VERB
bracis-28384	144	13	to	to	ADP
bracis-28384	144	14	the	the	DET
bracis-28384	144	15	class	class	NOUN
bracis-28384	144	16	.	.	PUNCT
bracis-28384	145	1	similarly	similarly	ADV
bracis-28384	145	2	,	,	PUNCT
bracis-28384	145	3	a	a	DET
bracis-28384	145	4	false	false	ADJ
bracis-28384	145	5	negative	negative	ADJ
bracis-28384	145	6	(	(	PUNCT
bracis-28384	145	7	fn	fn	NOUN
bracis-28384	145	8	)	)	PUNCT
bracis-28384	145	9	is	be	AUX
bracis-28384	145	10	the	the	DET
bracis-28384	145	11	text	text	NOUN
bracis-28384	145	12	is	be	AUX
bracis-28384	145	13	classified	classify	VERB
bracis-28384	145	14	incorrectly	incorrectly	ADV
bracis-28384	145	15	.	.	PUNCT
bracis-28384	146	1	the	the	DET
bracis-28384	146	2	accuracy	accuracy	NOUN
bracis-28384	146	3	describes	describe	VERB
bracis-28384	146	4	the	the	DET
bracis-28384	146	5	overall	overall	ADJ
bracis-28384	146	6	performance	performance	NOUN
bracis-28384	146	7	of	of	ADP
bracis-28384	146	8	the	the	DET
bracis-28384	146	9	classifier	classifier	NOUN
bracis-28384	146	10	and	and	CCONJ
bracis-28384	146	11	mathematical	mathematical	ADJ
bracis-28384	146	12	accuracy	accuracy	NOUN
bracis-28384	146	13	expressed	express	VERB
bracis-28384	146	14	as	as	ADP
bracis-28384	146	15	below	below	ADV
bracis-28384	146	16	in	in	ADP
bracis-28384	146	17	eq	eq	ADP
bracis-28384	146	18	.	.	PUNCT
bracis-28384	147	1	(	(	PUNCT
bracis-28384	147	2	1	1	NUM
bracis-28384	147	3	):	):	PUNCT
bracis-28384	147	4	$	$	SYM
bracis-28384	147	5	$	$	SYM
bracis-28384	147	6	\begin{aligned	\begin{aligne	VERB
bracis-28384	147	7	}	}	PUNCT
bracis-28384	147	8	\begin{array}{rcl	\begin{array}{rcl	NOUN
bracis-28384	147	9	}	}	PUNCT
bracis-28384	147	10	\text	\text	NOUN
bracis-28384	147	11	{	{	PUNCT
bracis-28384	147	12	accuracy	accuracy	NOUN
bracis-28384	147	13	}	}	PUNCT
bracis-28384	147	14	&	&	CCONJ
bracis-28384	147	15	=	=	PROPN
bracis-28384	147	16	&	&	CCONJ
bracis-28384	147	17	\frac	\frac	PROPN
bracis-28384	147	18	{	{	PUNCT
bracis-28384	147	19	tp	tp	X
bracis-28384	147	20	+	+	PROPN
bracis-28384	147	21	tn	tn	NOUN
bracis-28384	147	22	}	}	PUNCT
bracis-28384	147	23	{	{	PUNCT
bracis-28384	147	24	tp	tp	ADP
bracis-28384	147	25	+	+	CCONJ
bracis-28384	147	26	tn	tn	NOUN
bracis-28384	148	1	+	+	CCONJ
bracis-28384	148	2	fp	fp	PROPN
bracis-28384	148	3	+	+	NUM
bracis-28384	148	4	fn	fn	NOUN
bracis-28384	148	5	}	}	PUNCT
bracis-28384	148	6	\end{array	\end{array	ADJ
bracis-28384	148	7	}	}	PUNCT
bracis-28384	148	8	\end{aligned}$$	\end{aligned}$$	X
bracis-28384	148	9	(	(	PUNCT
bracis-28384	148	10	1	1	X
bracis-28384	148	11	)	)	PUNCT
bracis-28384	148	12	the	the	DET
bracis-28384	148	13	f1	f1	NOUN
bracis-28384	148	14	-	-	PUNCT
bracis-28384	148	15	score	score	NOUN
bracis-28384	148	16	it	it	PRON
bracis-28384	148	17	is	be	AUX
bracis-28384	148	18	a	a	DET
bracis-28384	148	19	harmonic	harmonic	ADJ
bracis-28384	148	20	measure	measure	NOUN
bracis-28384	148	21	between	between	ADP
bracis-28384	148	22	precision	precision	NOUN
bracis-28384	148	23	and	and	CCONJ
bracis-28384	148	24	sensitivity	sensitivity	NOUN
bracis-28384	148	25	,	,	PUNCT
bracis-28384	148	26	expressed	express	VERB
bracis-28384	148	27	in	in	ADP
bracis-28384	148	28	the	the	DET
bracis-28384	148	29	eq	eq	NOUN
bracis-28384	148	30	.	.	PUNCT
bracis-28384	149	1	(	(	PUNCT
bracis-28384	149	2	2	2	NUM
bracis-28384	149	3	):	):	PUNCT
bracis-28384	149	4	$	$	SYM
bracis-28384	149	5	$	$	SYM
bracis-28384	149	6	\begin{aligned	\begin{aligne	VERB
bracis-28384	149	7	}	}	PUNCT
bracis-28384	149	8	\begin{array}{rcl	\begin{array}{rcl	NOUN
bracis-28384	149	9	}	}	PUNCT
bracis-28384	149	10	\text	\text	NOUN
bracis-28384	149	11	{	{	PUNCT
bracis-28384	149	12	f1	f1	NOUN
bracis-28384	149	13	-	-	PUNCT
bracis-28384	149	14	score	score	NOUN
bracis-28384	149	15	}	}	PUNCT
bracis-28384	149	16	&	&	CCONJ
bracis-28384	149	17	=	=	PROPN
bracis-28384	149	18	&	&	CCONJ
bracis-28384	149	19	\frac	\frac	PROPN
bracis-28384	149	20	{	{	PUNCT
bracis-28384	149	21	2*tp}{2	2*tp}{2	NUM
bracis-28384	149	22	*	*	PUNCT
bracis-28384	149	23	tp	tp	ADP
bracis-28384	149	24	+	+	CCONJ
bracis-28384	149	25	fn	fn	NOUN
bracis-28384	149	26	+	+	CCONJ
bracis-28384	149	27	fp	fp	ADJ
bracis-28384	149	28	}	}	PUNCT
bracis-28384	149	29	\end{array	\end{array	ADJ
bracis-28384	149	30	}	}	PUNCT
bracis-28384	149	31	\end{aligned}$$	\end{aligned}$$	X
bracis-28384	150	1	(	(	PUNCT
bracis-28384	150	2	2	2	NUM
bracis-28384	150	3	)	)	PUNCT
bracis-28384	150	4	the	the	DET
bracis-28384	150	5	macro	macro	ADJ
bracis-28384	150	6	f1	f1	NOUN
bracis-28384	150	7	-	-	PUNCT
bracis-28384	150	8	score	score	NOUN
bracis-28384	150	9	is	be	AUX
bracis-28384	150	10	defined	define	VERB
bracis-28384	150	11	as	as	ADP
bracis-28384	150	12	the	the	DET
bracis-28384	150	13	mean	mean	NOUN
bracis-28384	150	14	of	of	ADP
bracis-28384	150	15	class	class	NOUN
bracis-28384	150	16	-	-	PUNCT
bracis-28384	150	17	wise	wise	ADJ
bracis-28384	150	18	/	/	SYM
bracis-28384	150	19	label	label	NOUN
bracis-28384	150	20	-	-	PUNCT
bracis-28384	150	21	wise	wise	ADJ
bracis-28384	150	22	f1	f1	NOUN
bracis-28384	150	23	-	-	PUNCT
bracis-28384	150	24	scores	score	NOUN
bracis-28384	150	25	,	,	PUNCT
bracis-28384	150	26	in	in	ADP
bracis-28384	150	27	eq	eq	ADP
bracis-28384	150	28	.	.	PUNCT
bracis-28384	151	1	(	(	PUNCT
bracis-28384	151	2	3	3	NUM
bracis-28384	151	3	)	)	PUNCT
bracis-28384	151	4	,	,	PUNCT
bracis-28384	151	5	where	where	SCONJ
bracis-28384	151	6	i	i	PRON
bracis-28384	151	7	is	be	AUX
bracis-28384	151	8	the	the	DET
bracis-28384	151	9	class	class	NOUN
bracis-28384	151	10	/	/	SYM
bracis-28384	151	11	label	label	NOUN
bracis-28384	151	12	index	index	NOUN
bracis-28384	151	13	and	and	CCONJ
bracis-28384	151	14	n	n	DET
bracis-28384	151	15	the	the	DET
bracis-28384	151	16	number	number	NOUN
bracis-28384	151	17	of	of	ADP
bracis-28384	151	18	classes	class	NOUN
bracis-28384	151	19	/	/	SYM
bracis-28384	151	20	labels	label	NOUN
bracis-28384	151	21	:	:	PUNCT
bracis-28384	151	22	$	$	SYM
bracis-28384	151	23	$	$	SYM
bracis-28384	151	24	\begin{aligned	\begin{aligne	VERB
bracis-28384	151	25	}	}	PUNCT
bracis-28384	151	26	\begin{array}{rcl	\begin{array}{rcl	NOUN
bracis-28384	151	27	}	}	PUNCT
bracis-28384	151	28	\text	\text	NOUN
bracis-28384	151	29	{	{	PUNCT
bracis-28384	151	30	macro	macro	ADJ
bracis-28384	151	31	f1	f1	NOUN
bracis-28384	151	32	-	-	PUNCT
bracis-28384	151	33	score	score	NOUN
bracis-28384	151	34	}	}	PUNCT
bracis-28384	151	35	&	&	CCONJ
bracis-28384	151	36	=	=	PROPN
bracis-28384	151	37	&	&	CCONJ
bracis-28384	151	38	\frac{1}{n	\frac{1}{n	NOUN
bracis-28384	151	39	}	}	PUNCT
bracis-28384	151	40	\sum	\sum	NOUN
bracis-28384	152	1	_	_	PUNCT
bracis-28384	152	2	{	{	PUNCT
bracis-28384	152	3	i=0}^{n	i=0}^{n	NOUN
bracis-28384	152	4	}	}	PUNCT
bracis-28384	152	5	{	{	PUNCT
bracis-28384	152	6	\text	\text	NOUN
bracis-28384	152	7	{	{	PUNCT
bracis-28384	152	8	f1	f1	NOUN
bracis-28384	152	9	-	-	PUNCT
bracis-28384	152	10	score}_i	score}_i	NOUN
bracis-28384	152	11	}	}	PUNCT
bracis-28384	152	12	\end{array	\end{array	ADJ
bracis-28384	152	13	}	}	PUNCT
bracis-28384	152	14	\end{aligned}$$	\end{aligned}$$	X
bracis-28384	152	15	(	(	PUNCT
bracis-28384	152	16	3	3	NUM
bracis-28384	152	17	)	)	PUNCT
bracis-28384	152	18	in	in	ADP
bracis-28384	152	19	weighted	weight	VERB
bracis-28384	152	20	-	-	PUNCT
bracis-28384	152	21	average	average	ADJ
bracis-28384	152	22	f1	f1	NOUN
bracis-28384	152	23	-	-	PUNCT
bracis-28384	152	24	score	score	NOUN
bracis-28384	152	25	,	,	PUNCT
bracis-28384	152	26	we	we	PRON
bracis-28384	152	27	weight	weight	VERB
bracis-28384	152	28	the	the	DET
bracis-28384	152	29	f1	f1	NOUN
bracis-28384	152	30	-	-	PUNCT
bracis-28384	152	31	score	score	NOUN
bracis-28384	152	32	of	of	ADP
bracis-28384	152	33	each	each	DET
bracis-28384	152	34	class	class	NOUN
bracis-28384	152	35	by	by	ADP
bracis-28384	152	36	the	the	DET
bracis-28384	152	37	number	number	NOUN
bracis-28384	152	38	of	of	ADP
bracis-28384	152	39	samples	sample	NOUN
bracis-28384	152	40	from	from	ADP
bracis-28384	152	41	that	that	DET
bracis-28384	152	42	class	class	NOUN
bracis-28384	152	43	,	,	PUNCT
bracis-28384	152	44	such	such	ADJ
bracis-28384	152	45	as	as	ADP
bracis-28384	152	46	in	in	ADP
bracis-28384	152	47	eq	eq	NOUN
bracis-28384	152	48	.	.	PUNCT
bracis-28384	153	1	(	(	PUNCT
bracis-28384	153	2	4	4	NUM
bracis-28384	153	3	)	)	PUNCT
bracis-28384	153	4	,	,	PUNCT
bracis-28384	153	5	where	where	SCONJ
bracis-28384	153	6	i	i	PRON
bracis-28384	153	7	is	be	AUX
bracis-28384	153	8	the	the	DET
bracis-28384	153	9	class	class	NOUN
bracis-28384	153	10	index	index	NOUN
bracis-28384	153	11	and	and	CCONJ
bracis-28384	153	12	n	n	DET
bracis-28384	153	13	the	the	DET
bracis-28384	153	14	number	number	NOUN
bracis-28384	153	15	of	of	ADP
bracis-28384	153	16	classes	class	NOUN
bracis-28384	153	17	and	and	CCONJ
bracis-28384	153	18	s	s	VERB
bracis-28384	153	19	the	the	DET
bracis-28384	153	20	number	number	NOUN
bracis-28384	153	21	of	of	ADP
bracis-28384	153	22	elements	element	NOUN
bracis-28384	153	23	in	in	ADP
bracis-28384	153	24	the	the	DET
bracis-28384	153	25	class	class	NOUN
bracis-28384	153	26	.	.	PUNCT
bracis-28384	154	1	$	$	SYM
bracis-28384	154	2	$	$	SYM
bracis-28384	154	3	\begin{aligned	\begin{aligne	VERB
bracis-28384	154	4	}	}	PUNCT
bracis-28384	154	5	\begin{array}{rcl	\begin{array}{rcl	NOUN
bracis-28384	154	6	}	}	PUNCT
bracis-28384	154	7	\text	\text	ADV
bracis-28384	154	8	{	{	PUNCT
bracis-28384	154	9	weighted	weight	VERB
bracis-28384	154	10	f1	f1	NOUN
bracis-28384	154	11	-	-	PUNCT
bracis-28384	154	12	score	score	NOUN
bracis-28384	154	13	}	}	PUNCT
bracis-28384	154	14	&	&	CCONJ
bracis-28384	154	15	=	=	PROPN
bracis-28384	154	16	&	&	CCONJ
bracis-28384	154	17	\frac{1}{n	\frac{1}{n	NOUN
bracis-28384	154	18	}	}	PUNCT
bracis-28384	154	19	\sum	\sum	NOUN
bracis-28384	154	20	_	_	PUNCT
bracis-28384	154	21	{	{	PUNCT
bracis-28384	154	22	i=0}^{n	i=0}^{n	NOUN
bracis-28384	154	23	}	}	PUNCT
bracis-28384	154	24	{	{	PUNCT
bracis-28384	154	25	\text	\text	NOUN
bracis-28384	154	26	{	{	PUNCT
bracis-28384	154	27	f1	f1	NOUN
bracis-28384	154	28	-	-	PUNCT
bracis-28384	154	29	score}_i	score}_i	NOUN
bracis-28384	154	30	*	*	PUNCT
bracis-28384	154	31	s_i	s_i	ADV
bracis-28384	154	32	}	}	PUNCT
bracis-28384	154	33	\end{array	\end{array	ADJ
bracis-28384	154	34	}	}	PUNCT
bracis-28384	154	35	\end{aligned}$$	\end{aligned}$$	X
bracis-28384	154	36	(	(	PUNCT
bracis-28384	154	37	4	4	NUM
bracis-28384	154	38	)	)	SYM
bracis-28384	154	39	3.1	3.1	NUM
bracis-28384	154	40	machine	machine	NOUN
bracis-28384	154	41	learning	learning	NOUN
bracis-28384	154	42	experiments	experiment	NOUN
bracis-28384	154	43	the	the	DET
bracis-28384	154	44	per	per	ADP
bracis-28384	154	45	-	-	PUNCT
bracis-28384	154	46	clinical	clinical	ADJ
bracis-28384	154	47	-	-	PUNCT
bracis-28384	154	48	event	event	NOUN
bracis-28384	154	49	corpus	corpus	NOUN
bracis-28384	154	50	(	(	PUNCT
bracis-28384	154	51	described	describe	VERB
bracis-28384	154	52	in	in	ADP
bracis-28384	154	53	sect	sect	NOUN
bracis-28384	154	54	.	.	PUNCT
bracis-28384	154	55	 	 	SPACE
bracis-28384	155	1	2	2	NUM
bracis-28384	155	2	)	)	PUNCT
bracis-28384	155	3	of	of	ADP
bracis-28384	155	4	the	the	DET
bracis-28384	155	5	smallest	small	ADJ
bracis-28384	155	6	clinic	clinic	NOUN
bracis-28384	155	7	in	in	ADP
bracis-28384	155	8	the	the	DET
bracis-28384	155	9	preprocessed	preprocesse	VERB
bracis-28384	155	10	and	and	CCONJ
bracis-28384	155	11	raw	raw	ADJ
bracis-28384	155	12	versions	version	NOUN
bracis-28384	155	13	were	be	AUX
bracis-28384	155	14	used	use	VERB
bracis-28384	155	15	to	to	PART
bracis-28384	155	16	perform	perform	VERB
bracis-28384	155	17	the	the	DET
bracis-28384	155	18	classifiers	classifier	NOUN
bracis-28384	155	19	.	.	PUNCT
bracis-28384	156	1	this	this	PRON
bracis-28384	156	2	is	be	AUX
bracis-28384	156	3	the	the	DET
bracis-28384	156	4	clinic	clinic	NOUN
bracis-28384	156	5	database	database	NOUN
bracis-28384	156	6	and	and	CCONJ
bracis-28384	156	7	contains	contain	VERB
bracis-28384	156	8	3.308	3.308	NUM
bracis-28384	156	9	clinical	clinical	ADJ
bracis-28384	156	10	notes	note	NOUN
bracis-28384	156	11	,	,	PUNCT
bracis-28384	156	12	and	and	CCONJ
bracis-28384	156	13	397	397	NUM
bracis-28384	156	14	distinct	distinct	ADJ
bracis-28384	156	15	patients	patient	NOUN
bracis-28384	156	16	.	.	PUNCT
bracis-28384	157	1	the	the	DET
bracis-28384	157	2	preprocessed	preprocesse	VERB
bracis-28384	157	3	dataset	dataset	NOUN
bracis-28384	157	4	was	be	AUX
bracis-28384	157	5	used	use	VERB
bracis-28384	157	6	first	first	ADV
bracis-28384	157	7	with	with	ADP
bracis-28384	157	8	the	the	DET
bracis-28384	157	9	machine	machine	NOUN
bracis-28384	157	10	learning	learn	VERB
bracis-28384	157	11	classifiers	classifier	NOUN
bracis-28384	157	12	,	,	PUNCT
bracis-28384	157	13	described	describe	VERB
bracis-28384	157	14	in	in	ADP
bracis-28384	157	15	sect	sect	NOUN
bracis-28384	157	16	.	.	PUNCT
bracis-28384	157	17	 	 	SPACE
bracis-28384	158	1	2	2	NUM
bracis-28384	158	2	.	.	PUNCT
bracis-28384	158	3	table	table	NOUN
bracis-28384	158	4	1	1	NUM
bracis-28384	158	5	.	.	PUNCT
bracis-28384	158	6	machine	machine	NOUN
bracis-28384	158	7	learning	learn	VERB
bracis-28384	158	8	classifiers	classifier	NOUN
bracis-28384	158	9	experiments	experiment	VERB
bracis-28384	158	10	results.full	results.full	PRON
bracis-28384	158	11	size	size	NOUN
bracis-28384	158	12	table	table	NOUN
bracis-28384	158	13	to	to	PART
bracis-28384	158	14	perform	perform	VERB
bracis-28384	158	15	the	the	DET
bracis-28384	158	16	experiments	experiment	NOUN
bracis-28384	158	17	,	,	PUNCT
bracis-28384	158	18	the	the	DET
bracis-28384	158	19	dataset	dataset	NOUN
bracis-28384	158	20	was	be	AUX
bracis-28384	158	21	randomly	randomly	ADV
bracis-28384	158	22	divided	divide	VERB
bracis-28384	158	23	into	into	ADP
bracis-28384	158	24	two	two	NUM
bracis-28384	158	25	parts	part	NOUN
bracis-28384	158	26	:	:	PUNCT
bracis-28384	158	27	80	80	NUM
bracis-28384	158	28	%	%	NOUN
bracis-28384	158	29	for	for	ADP
bracis-28384	158	30	training	training	NOUN
bracis-28384	158	31	and	and	CCONJ
bracis-28384	158	32	20	20	NUM
bracis-28384	158	33	%	%	NOUN
bracis-28384	158	34	for	for	ADP
bracis-28384	158	35	testing	testing	NOUN
bracis-28384	158	36	.	.	PUNCT
bracis-28384	159	1	a	a	DET
bracis-28384	159	2	shuffle	shuffle	NOUN
bracis-28384	159	3	method	method	NOUN
bracis-28384	159	4	was	be	AUX
bracis-28384	159	5	used	use	VERB
bracis-28384	159	6	to	to	PART
bracis-28384	159	7	generate	generate	VERB
bracis-28384	159	8	these	these	DET
bracis-28384	159	9	two	two	NUM
bracis-28384	159	10	parts	part	NOUN
bracis-28384	159	11	,	,	PUNCT
bracis-28384	159	12	and	and	CCONJ
bracis-28384	159	13	a	a	DET
bracis-28384	159	14	different	different	ADJ
bracis-28384	159	15	set	set	NOUN
bracis-28384	159	16	of	of	ADP
bracis-28384	159	17	training	training	NOUN
bracis-28384	159	18	and	and	CCONJ
bracis-28384	159	19	testing	testing	NOUN
bracis-28384	159	20	datasets	dataset	NOUN
bracis-28384	159	21	were	be	AUX
bracis-28384	159	22	created	create	VERB
bracis-28384	159	23	each	each	DET
bracis-28384	159	24	time	time	NOUN
bracis-28384	159	25	it	it	PRON
bracis-28384	159	26	was	be	AUX
bracis-28384	159	27	performed	perform	VERB
bracis-28384	159	28	.	.	PUNCT
bracis-28384	160	1	hence	hence	ADV
bracis-28384	160	2	different	different	ADJ
bracis-28384	160	3	classifiers	classifier	NOUN
bracis-28384	160	4	’	'	PUNCT
bracis-28384	160	5	metrics	metric	NOUN
bracis-28384	160	6	were	be	AUX
bracis-28384	160	7	obtained	obtain	VERB
bracis-28384	160	8	,	,	PUNCT
bracis-28384	160	9	but	but	CCONJ
bracis-28384	160	10	it	it	PRON
bracis-28384	160	11	always	always	ADV
bracis-28384	160	12	kept	keep	VERB
bracis-28384	160	13	the	the	DET
bracis-28384	160	14	performance	performance	NOUN
bracis-28384	160	15	order	order	NOUN
bracis-28384	160	16	.	.	PUNCT
bracis-28384	161	1	the	the	DET
bracis-28384	161	2	mean	mean	ADJ
bracis-28384	161	3	accuracy	accuracy	NOUN
bracis-28384	161	4	,	,	PUNCT
bracis-28384	161	5	macro	macro	ADJ
bracis-28384	161	6	f1	f1	NOUN
bracis-28384	161	7	score	score	NOUN
bracis-28384	161	8	,	,	PUNCT
bracis-28384	161	9	and	and	CCONJ
bracis-28384	161	10	weighted	weight	VERB
bracis-28384	161	11	f1	f1	PROPN
bracis-28384	161	12	score	score	NOUN
bracis-28384	161	13	of	of	ADP
bracis-28384	161	14	each	each	DET
bracis-28384	161	15	classifier	classifier	NOUN
bracis-28384	161	16	are	be	AUX
bracis-28384	161	17	presented	present	VERB
bracis-28384	161	18	in	in	ADP
bracis-28384	161	19	table	table	NOUN
bracis-28384	161	20	 	 	SPACE
bracis-28384	161	21	1	1	NUM
bracis-28384	161	22	.	.	PUNCT
bracis-28384	162	1	these	these	DET
bracis-28384	162	2	experiments	experiment	NOUN
bracis-28384	162	3	were	be	AUX
bracis-28384	162	4	performed	perform	VERB
bracis-28384	162	5	to	to	PART
bracis-28384	162	6	evaluate	evaluate	VERB
bracis-28384	162	7	which	which	DET
bracis-28384	162	8	machine	machine	NOUN
bracis-28384	162	9	learning	learn	VERB
bracis-28384	162	10	classifier	classifier	NOUN
bracis-28384	162	11	had	have	VERB
bracis-28384	162	12	the	the	DET
bracis-28384	162	13	best	good	ADJ
bracis-28384	162	14	performance	performance	NOUN
bracis-28384	162	15	.	.	PUNCT
bracis-28384	163	1	according	accord	VERB
bracis-28384	163	2	to	to	ADP
bracis-28384	163	3	table	table	NOUN
bracis-28384	163	4	 	 	SPACE
bracis-28384	163	5	1	1	NUM
bracis-28384	163	6	,	,	PUNCT
bracis-28384	163	7	the	the	DET
bracis-28384	163	8	mlp	mlp	PROPN
bracis-28384	163	9	2	2	NUM
bracis-28384	163	10	classifier	classifier	NOUN
bracis-28384	163	11	achieved	achieve	VERB
bracis-28384	163	12	the	the	DET
bracis-28384	163	13	best	good	ADJ
bracis-28384	163	14	accuracy	accuracy	NOUN
bracis-28384	163	15	,	,	PUNCT
bracis-28384	163	16	macro	macro	ADJ
bracis-28384	163	17	f1	f1	NOUN
bracis-28384	163	18	,	,	PUNCT
bracis-28384	163	19	and	and	CCONJ
bracis-28384	163	20	weighted	weight	VERB
bracis-28384	163	21	f1	f1	PROPN
bracis-28384	163	22	scores	score	NOUN
bracis-28384	163	23	.	.	PUNCT
bracis-28384	164	1	these	these	DET
bracis-28384	164	2	results	result	NOUN
bracis-28384	164	3	are	be	AUX
bracis-28384	164	4	evaluated	evaluate	VERB
bracis-28384	164	5	in	in	ADP
bracis-28384	164	6	sect	sect	NOUN
bracis-28384	164	7	.	.	PUNCT
bracis-28384	164	8	 	 	SPACE
bracis-28384	165	1	3.3	3.3	NUM
bracis-28384	165	2	.	.	PUNCT
bracis-28384	166	1	an	an	DET
bracis-28384	166	2	additional	additional	ADJ
bracis-28384	166	3	experiment	experiment	NOUN
bracis-28384	166	4	evaluated	evaluate	VERB
bracis-28384	166	5	how	how	SCONJ
bracis-28384	166	6	the	the	DET
bracis-28384	166	7	dataset	dataset	NOUN
bracis-28384	166	8	’s	’s	PART
bracis-28384	166	9	structure	structure	NOUN
bracis-28384	166	10	and	and	CCONJ
bracis-28384	166	11	preprocessing	preprocessing	NOUN
bracis-28384	166	12	step	step	NOUN
bracis-28384	166	13	(	(	PUNCT
bracis-28384	166	14	sect	sect	NOUN
bracis-28384	166	15	.	.	PUNCT
bracis-28384	166	16	 	 	SPACE
bracis-28384	166	17	2	2	X
bracis-28384	166	18	)	)	PUNCT
bracis-28384	166	19	leveraged	leverage	VERB
bracis-28384	166	20	the	the	DET
bracis-28384	166	21	classifiers	classifier	NOUN
bracis-28384	166	22	’	’	PART
bracis-28384	166	23	performance	performance	NOUN
bracis-28384	166	24	.	.	PUNCT
bracis-28384	167	1	this	this	DET
bracis-28384	167	2	experiment	experiment	NOUN
bracis-28384	167	3	used	use	VERB
bracis-28384	167	4	the	the	DET
bracis-28384	167	5	same	same	ADJ
bracis-28384	167	6	dataset	dataset	NOUN
bracis-28384	167	7	from	from	ADP
bracis-28384	167	8	the	the	DET
bracis-28384	167	9	clinic	clinic	NOUN
bracis-28384	167	10	with	with	ADP
bracis-28384	167	11	the	the	DET
bracis-28384	167	12	smalest	smal	ADJ
bracis-28384	167	13	dataset	dataset	NOUN
bracis-28384	167	14	.	.	PUNCT
bracis-28384	168	1	the	the	DET
bracis-28384	168	2	preprocessed	preprocesse	VERB
bracis-28384	168	3	and	and	CCONJ
bracis-28384	168	4	raw	raw	ADJ
bracis-28384	168	5	versions	version	NOUN
bracis-28384	168	6	of	of	ADP
bracis-28384	168	7	the	the	DET
bracis-28384	168	8	per	per	ADP
bracis-28384	168	9	-	-	PUNCT
bracis-28384	168	10	clinical	clinical	NOUN
bracis-28384	168	11	-	-	PUNCT
bracis-28384	168	12	event	event	NOUN
bracis-28384	168	13	dataset	dataset	NOUN
bracis-28384	168	14	,	,	PUNCT
bracis-28384	168	15	plus	plus	CCONJ
bracis-28384	168	16	the	the	DET
bracis-28384	168	17	preprocessed	preprocesse	VERB
bracis-28384	168	18	per	per	ADP
bracis-28384	168	19	-	-	PUNCT
bracis-28384	168	20	patient	patient	NOUN
bracis-28384	168	21	dataset	dataset	NOUN
bracis-28384	168	22	,	,	PUNCT
bracis-28384	168	23	were	be	AUX
bracis-28384	168	24	used	use	VERB
bracis-28384	168	25	with	with	ADP
bracis-28384	168	26	the	the	DET
bracis-28384	168	27	best	good	ADJ
bracis-28384	168	28	performance	performance	NOUN
bracis-28384	168	29	classifier	classifier	NOUN
bracis-28384	168	30	.	.	PUNCT
bracis-28384	169	1	according	accord	VERB
bracis-28384	169	2	to	to	ADP
bracis-28384	169	3	table	table	NOUN
bracis-28384	169	4	 	 	SPACE
bracis-28384	169	5	1	1	NUM
bracis-28384	169	6	,	,	PUNCT
bracis-28384	169	7	the	the	DET
bracis-28384	169	8	mlp	mlp	PROPN
bracis-28384	169	9	2	2	NUM
bracis-28384	169	10	classifier	classifier	NOUN
bracis-28384	169	11	had	have	VERB
bracis-28384	169	12	the	the	DET
bracis-28384	169	13	best	good	ADJ
bracis-28384	169	14	performance	performance	NOUN
bracis-28384	169	15	and	and	CCONJ
bracis-28384	169	16	was	be	AUX
bracis-28384	169	17	used	use	VERB
bracis-28384	169	18	in	in	ADP
bracis-28384	169	19	this	this	DET
bracis-28384	169	20	experiment	experiment	NOUN
bracis-28384	169	21	.	.	PUNCT
bracis-28384	170	1	table	table	NOUN
bracis-28384	170	2	 	 	SPACE
bracis-28384	170	3	2	2	NUM
bracis-28384	170	4	presents	present	VERB
bracis-28384	170	5	the	the	DET
bracis-28384	170	6	mean	mean	ADJ
bracis-28384	170	7	accuracy	accuracy	NOUN
bracis-28384	170	8	of	of	ADP
bracis-28384	170	9	the	the	DET
bracis-28384	170	10	mlp	mlp	NOUN
bracis-28384	170	11	2	2	NUM
bracis-28384	170	12	classifier	classifier	NOUN
bracis-28384	170	13	with	with	ADP
bracis-28384	170	14	preprocessed	preprocesse	VERB
bracis-28384	170	15	and	and	CCONJ
bracis-28384	170	16	raw	raw	ADJ
bracis-28384	170	17	versions	version	NOUN
bracis-28384	170	18	of	of	ADP
bracis-28384	170	19	the	the	DET
bracis-28384	170	20	per	per	ADP
bracis-28384	170	21	-	-	PUNCT
bracis-28384	170	22	clinical	clinical	NOUN
bracis-28384	170	23	-	-	PUNCT
bracis-28384	170	24	event	event	NOUN
bracis-28384	170	25	dataset	dataset	NOUN
bracis-28384	170	26	,	,	PUNCT
bracis-28384	170	27	plus	plus	CCONJ
bracis-28384	170	28	the	the	DET
bracis-28384	170	29	preprocessed	preprocesse	VERB
bracis-28384	170	30	per	per	ADP
bracis-28384	170	31	-	-	PUNCT
bracis-28384	170	32	patient	patient	NOUN
bracis-28384	170	33	dataset	dataset	NOUN
bracis-28384	170	34	.	.	PUNCT
bracis-28384	171	1	table	table	NOUN
bracis-28384	171	2	2	2	NUM
bracis-28384	171	3	.	.	PUNCT
bracis-28384	171	4	comparison	comparison	NOUN
bracis-28384	171	5	of	of	ADP
bracis-28384	171	6	the	the	DET
bracis-28384	171	7	mlp	mlp	PROPN
bracis-28384	171	8	2	2	NUM
bracis-28384	171	9	classifier	classifier	NOUN
bracis-28384	171	10	’s	’s	PART
bracis-28384	171	11	performance	performance	NOUN
bracis-28384	171	12	with	with	ADP
bracis-28384	171	13	the	the	DET
bracis-28384	171	14	per	per	ADP
bracis-28384	171	15	-	-	PUNCT
bracis-28384	171	16	clinical	clinical	NOUN
bracis-28384	171	17	-	-	PUNCT
bracis-28384	171	18	event	event	NOUN
bracis-28384	171	19	dataset	dataset	VERB
bracis-28384	171	20	in	in	ADP
bracis-28384	171	21	raw	raw	ADJ
bracis-28384	171	22	and	and	CCONJ
bracis-28384	171	23	preprocessed	preprocesse	VERB
bracis-28384	171	24	versions	version	NOUN
bracis-28384	171	25	,	,	PUNCT
bracis-28384	171	26	plus	plus	CCONJ
bracis-28384	171	27	the	the	DET
bracis-28384	171	28	per	per	ADP
bracis-28384	171	29	-	-	PUNCT
bracis-28384	171	30	patient	patient	NOUN
bracis-28384	171	31	preprocessed	preprocesse	VERB
bracis-28384	171	32	dataset.full	dataset.full	NOUN
bracis-28384	171	33	size	size	NOUN
bracis-28384	171	34	table	table	NOUN
bracis-28384	171	35	these	these	DET
bracis-28384	171	36	results	result	NOUN
bracis-28384	171	37	are	be	AUX
bracis-28384	171	38	evaluated	evaluate	VERB
bracis-28384	171	39	in	in	ADP
bracis-28384	171	40	sect	sect	NOUN
bracis-28384	171	41	.	.	PUNCT
bracis-28384	171	42	 	 	SPACE
bracis-28384	171	43	3.3	3.3	NUM
bracis-28384	171	44	,	,	PUNCT
bracis-28384	171	45	exploring	explore	VERB
bracis-28384	171	46	the	the	DET
bracis-28384	171	47	improvements	improvement	NOUN
bracis-28384	171	48	obtained	obtain	VERB
bracis-28384	171	49	with	with	ADP
bracis-28384	171	50	the	the	DET
bracis-28384	171	51	integration	integration	NOUN
bracis-28384	171	52	of	of	ADP
bracis-28384	171	53	the	the	DET
bracis-28384	171	54	clinical	clinical	ADJ
bracis-28384	171	55	events	event	NOUN
bracis-28384	171	56	in	in	ADP
bracis-28384	171	57	a	a	DET
bracis-28384	171	58	more	more	ADV
bracis-28384	171	59	complete	complete	ADJ
bracis-28384	171	60	view	view	NOUN
bracis-28384	171	61	of	of	ADP
bracis-28384	171	62	the	the	DET
bracis-28384	171	63	patient	patient	NOUN
bracis-28384	171	64	history	history	NOUN
bracis-28384	171	65	.	.	PUNCT
bracis-28384	172	1	as	as	SCONJ
bracis-28384	172	2	it	it	PRON
bracis-28384	172	3	can	can	AUX
bracis-28384	172	4	be	be	AUX
bracis-28384	172	5	observed	observe	VERB
bracis-28384	172	6	in	in	ADP
bracis-28384	172	7	table	table	NOUN
bracis-28384	172	8	 	 	SPACE
bracis-28384	172	9	2	2	NUM
bracis-28384	172	10	,	,	PUNCT
bracis-28384	172	11	the	the	DET
bracis-28384	172	12	mean	mean	ADJ
bracis-28384	172	13	accuracy	accuracy	NOUN
bracis-28384	172	14	improves	improve	VERB
bracis-28384	172	15	with	with	ADP
bracis-28384	172	16	more	more	ADV
bracis-28384	172	17	complete	complete	ADJ
bracis-28384	172	18	patient	patient	ADJ
bracis-28384	172	19	data	datum	NOUN
bracis-28384	172	20	.	.	PUNCT
bracis-28384	173	1	3.2	3.2	NUM
bracis-28384	173	2	deep	deep	ADJ
bracis-28384	173	3	learning	learning	NOUN
bracis-28384	173	4	experiments	experiment	NOUN
bracis-28384	173	5	in	in	ADP
bracis-28384	173	6	this	this	DET
bracis-28384	173	7	set	set	NOUN
bracis-28384	173	8	of	of	ADP
bracis-28384	173	9	experiments	experiment	NOUN
bracis-28384	173	10	,	,	PUNCT
bracis-28384	173	11	the	the	DET
bracis-28384	173	12	following	follow	VERB
bracis-28384	173	13	machine	machine	NOUN
bracis-28384	173	14	learning	learning	NOUN
bracis-28384	173	15	and	and	CCONJ
bracis-28384	173	16	deep	deep	ADJ
bracis-28384	173	17	learning	learning	NOUN
bracis-28384	173	18	classifiers	classifier	NOUN
bracis-28384	173	19	were	be	AUX
bracis-28384	173	20	tested	test	VERB
bracis-28384	173	21	:	:	PUNCT
bracis-28384	173	22	the	the	DET
bracis-28384	173	23	machine	machine	NOUN
bracis-28384	173	24	learning	learn	VERB
bracis-28384	173	25	classifier	classifier	NOUN
bracis-28384	173	26	that	that	SCONJ
bracis-28384	173	27	best	well	ADV
bracis-28384	173	28	performed	perform	VERB
bracis-28384	173	29	(	(	PUNCT
bracis-28384	173	30	the	the	DET
bracis-28384	173	31	mlp	mlp	NOUN
bracis-28384	173	32	2	2	NUM
bracis-28384	173	33	)	)	PUNCT
bracis-28384	173	34	,	,	PUNCT
bracis-28384	173	35	according	accord	VERB
bracis-28384	173	36	to	to	ADP
bracis-28384	173	37	sect	sect	NOUN
bracis-28384	173	38	.	.	PUNCT
bracis-28384	173	39	 	 	SPACE
bracis-28384	173	40	3.1	3.1	NUM
bracis-28384	173	41	;	;	PUNCT
bracis-28384	173	42	an	an	DET
bracis-28384	173	43	lstm	lstm	NOUN
bracis-28384	173	44	(	(	PUNCT
bracis-28384	173	45	long	long	ADJ
bracis-28384	173	46	-	-	PUNCT
bracis-28384	173	47	short	short	ADJ
bracis-28384	173	48	term	term	NOUN
bracis-28384	173	49	memory	memory	NOUN
bracis-28384	173	50	)	)	PUNCT
bracis-28384	173	51	deep	deep	ADJ
bracis-28384	173	52	learning	learning	NOUN
bracis-28384	173	53	recurrent	recurrent	ADJ
bracis-28384	173	54	neural	neural	ADJ
bracis-28384	173	55	network	network	NOUN
bracis-28384	173	56	.	.	PUNCT
bracis-28384	174	1	the	the	DET
bracis-28384	174	2	per	per	ADP
bracis-28384	174	3	-	-	PUNCT
bracis-28384	174	4	patient	patient	NOUN
bracis-28384	174	5	corpus	corpus	NOUN
bracis-28384	174	6	(	(	PUNCT
bracis-28384	174	7	described	describe	VERB
bracis-28384	174	8	in	in	ADP
bracis-28384	174	9	sect	sect	NOUN
bracis-28384	174	10	.	.	PUNCT
bracis-28384	174	11	 	 	SPACE
bracis-28384	174	12	2	2	NUM
bracis-28384	174	13	)	)	PUNCT
bracis-28384	174	14	of	of	ADP
bracis-28384	174	15	the	the	DET
bracis-28384	174	16	smallest	small	ADJ
bracis-28384	174	17	clinic	clinic	NOUN
bracis-28384	174	18	in	in	ADP
bracis-28384	174	19	the	the	DET
bracis-28384	174	20	preprocessed	preprocesse	VERB
bracis-28384	174	21	version	version	NOUN
bracis-28384	174	22	was	be	AUX
bracis-28384	174	23	used	use	VERB
bracis-28384	174	24	to	to	PART
bracis-28384	174	25	perform	perform	VERB
bracis-28384	174	26	the	the	DET
bracis-28384	174	27	classifiers	classifier	NOUN
bracis-28384	174	28	.	.	PUNCT
bracis-28384	175	1	the	the	DET
bracis-28384	175	2	per	per	ADP
bracis-28384	175	3	-	-	PUNCT
bracis-28384	175	4	patient	patient	NOUN
bracis-28384	175	5	corpus	corpus	NOUN
bracis-28384	175	6	was	be	AUX
bracis-28384	175	7	chosen	choose	VERB
bracis-28384	175	8	because	because	SCONJ
bracis-28384	175	9	all	all	DET
bracis-28384	175	10	patient	patient	NOUN
bracis-28384	175	11	’s	’s	PART
bracis-28384	175	12	clinical	clinical	ADJ
bracis-28384	175	13	notes	note	NOUN
bracis-28384	175	14	were	be	AUX
bracis-28384	175	15	joined	join	VERB
bracis-28384	175	16	into	into	ADP
bracis-28384	175	17	a	a	DET
bracis-28384	175	18	single	single	ADJ
bracis-28384	175	19	registry	registry	NOUN
bracis-28384	175	20	,	,	PUNCT
bracis-28384	175	21	which	which	PRON
bracis-28384	175	22	would	would	AUX
bracis-28384	175	23	perform	perform	VERB
bracis-28384	175	24	better	well	ADV
bracis-28384	175	25	considering	consider	VERB
bracis-28384	175	26	the	the	DET
bracis-28384	175	27	lstm	lstm	ADJ
bracis-28384	175	28	ability	ability	NOUN
bracis-28384	175	29	to	to	PART
bracis-28384	175	30	process	process	VERB
bracis-28384	175	31	entire	entire	ADJ
bracis-28384	175	32	sequences	sequence	NOUN
bracis-28384	175	33	of	of	ADP
bracis-28384	175	34	data	data	PROPN
bracis-28384	175	35	.	.	PUNCT
bracis-28384	176	1	table	table	NOUN
bracis-28384	176	2	3	3	NUM
bracis-28384	176	3	.	.	PUNCT
bracis-28384	177	1	mlp	mlp	PROPN
bracis-28384	177	2	2	2	NUM
bracis-28384	177	3	and	and	CCONJ
bracis-28384	177	4	lstm	lstm	NOUN
bracis-28384	177	5	classifiers	classifier	NOUN
bracis-28384	177	6	performed	perform	VERB
bracis-28384	177	7	with	with	ADP
bracis-28384	177	8	its	its	PRON
bracis-28384	177	9	performance.full	performance.full	ADJ
bracis-28384	177	10	size	size	NOUN
bracis-28384	177	11	table	table	NOUN
bracis-28384	177	12	table	table	NOUN
bracis-28384	177	13	 	 	SPACE
bracis-28384	177	14	3	3	NUM
bracis-28384	177	15	presents	present	VERB
bracis-28384	177	16	the	the	DET
bracis-28384	177	17	mean	mean	ADJ
bracis-28384	177	18	accuracy	accuracy	NOUN
bracis-28384	177	19	,	,	PUNCT
bracis-28384	177	20	macro	macro	ADJ
bracis-28384	177	21	f1	f1	NOUN
bracis-28384	177	22	score	score	NOUN
bracis-28384	177	23	and	and	CCONJ
bracis-28384	177	24	weighted	weight	VERB
bracis-28384	177	25	f1	f1	ADJ
bracis-28384	177	26	score	score	NOUN
bracis-28384	177	27	of	of	ADP
bracis-28384	177	28	the	the	DET
bracis-28384	177	29	mlp	mlp	PROPN
bracis-28384	177	30	2	2	NUM
bracis-28384	177	31	and	and	CCONJ
bracis-28384	177	32	the	the	DET
bracis-28384	177	33	lstm	lstm	PROPN
bracis-28384	177	34	classifiers	classifier	NOUN
bracis-28384	177	35	.	.	PUNCT
bracis-28384	178	1	these	these	DET
bracis-28384	178	2	results	result	NOUN
bracis-28384	178	3	are	be	AUX
bracis-28384	178	4	evaluated	evaluate	VERB
bracis-28384	178	5	in	in	ADP
bracis-28384	178	6	sect	sect	NOUN
bracis-28384	178	7	.	.	PUNCT
bracis-28384	178	8	 	 	SPACE
bracis-28384	179	1	3.3	3.3	NUM
bracis-28384	179	2	.	.	PUNCT
bracis-28384	180	1	3.3	3.3	NUM
bracis-28384	180	2	results	result	VERB
bracis-28384	180	3	evaluation	evaluation	NOUN
bracis-28384	180	4	several	several	ADJ
bracis-28384	180	5	experiments	experiment	NOUN
bracis-28384	180	6	were	be	AUX
bracis-28384	180	7	performed	perform	VERB
bracis-28384	180	8	to	to	PART
bracis-28384	180	9	understand	understand	VERB
bracis-28384	180	10	the	the	DET
bracis-28384	180	11	behavior	behavior	NOUN
bracis-28384	180	12	of	of	ADP
bracis-28384	180	13	the	the	DET
bracis-28384	180	14	selected	select	VERB
bracis-28384	180	15	machine	machine	NOUN
bracis-28384	180	16	learning	learning	NOUN
bracis-28384	180	17	and	and	CCONJ
bracis-28384	180	18	deep	deep	ADJ
bracis-28384	180	19	learning	learning	NOUN
bracis-28384	180	20	classifiers	classifier	NOUN
bracis-28384	180	21	with	with	ADP
bracis-28384	180	22	the	the	DET
bracis-28384	180	23	corpora	corpora	NOUN
bracis-28384	180	24	created	create	VERB
bracis-28384	180	25	and	and	CCONJ
bracis-28384	180	26	preprocessed	preprocesse	VERB
bracis-28384	180	27	(	(	PUNCT
bracis-28384	180	28	sect	sect	NOUN
bracis-28384	180	29	.	.	PUNCT
bracis-28384	180	30	 	 	SPACE
bracis-28384	181	1	2	2	NUM
bracis-28384	181	2	)	)	PUNCT
bracis-28384	181	3	.	.	PUNCT
bracis-28384	182	1	first	first	ADV
bracis-28384	182	2	,	,	PUNCT
bracis-28384	182	3	a	a	DET
bracis-28384	182	4	set	set	NOUN
bracis-28384	182	5	of	of	ADP
bracis-28384	182	6	experiments	experiment	NOUN
bracis-28384	182	7	with	with	ADP
bracis-28384	182	8	seven	seven	NUM
bracis-28384	182	9	machine	machine	NOUN
bracis-28384	182	10	learning	learn	VERB
bracis-28384	182	11	classifiers	classifier	NOUN
bracis-28384	182	12	were	be	AUX
bracis-28384	182	13	performed	perform	VERB
bracis-28384	182	14	with	with	ADP
bracis-28384	182	15	the	the	DET
bracis-28384	182	16	per	per	ADP
bracis-28384	182	17	-	-	PUNCT
bracis-28384	182	18	clinical	clinical	ADJ
bracis-28384	182	19	-	-	PUNCT
bracis-28384	182	20	event	event	NOUN
bracis-28384	182	21	corpus	corpus	NOUN
bracis-28384	182	22	,	,	PUNCT
bracis-28384	182	23	according	accord	VERB
bracis-28384	182	24	to	to	ADP
bracis-28384	182	25	sect	sect	NOUN
bracis-28384	182	26	.	.	PUNCT
bracis-28384	182	27	 	 	SPACE
bracis-28384	182	28	3.1	3.1	NUM
bracis-28384	182	29	.	.	PUNCT
bracis-28384	183	1	considering	consider	VERB
bracis-28384	183	2	the	the	DET
bracis-28384	183	3	mean	mean	ADJ
bracis-28384	183	4	accuracy	accuracy	NOUN
bracis-28384	183	5	,	,	PUNCT
bracis-28384	183	6	macro	macro	ADJ
bracis-28384	183	7	f1	f1	NOUN
bracis-28384	183	8	,	,	PUNCT
bracis-28384	183	9	and	and	CCONJ
bracis-28384	183	10	weighted	weight	VERB
bracis-28384	183	11	f1	f1	PROPN
bracis-28384	183	12	scores	score	NOUN
bracis-28384	183	13	,	,	PUNCT
bracis-28384	183	14	the	the	DET
bracis-28384	183	15	classifier	classifier	NOUN
bracis-28384	183	16	that	that	PRON
bracis-28384	183	17	best	well	ADV
bracis-28384	183	18	performed	perform	VERB
bracis-28384	183	19	was	be	AUX
bracis-28384	183	20	the	the	DET
bracis-28384	183	21	mlp	mlp	NOUN
bracis-28384	183	22	2	2	NUM
bracis-28384	183	23	,	,	PUNCT
bracis-28384	183	24	as	as	SCONJ
bracis-28384	183	25	seen	see	VERB
bracis-28384	183	26	in	in	ADP
bracis-28384	183	27	fig	fig	NOUN
bracis-28384	183	28	.	.	PUNCT
bracis-28384	183	29	 	 	SPACE
bracis-28384	184	1	4	4	NUM
bracis-28384	184	2	.	.	X
bracis-28384	184	3	fig	fig	NOUN
bracis-28384	184	4	.	.	PUNCT
bracis-28384	185	1	4	4	X
bracis-28384	185	2	.	.	X
bracis-28384	185	3	machine	machine	NOUN
bracis-28384	185	4	learning	learn	VERB
bracis-28384	185	5	classifiers	classifier	NOUN
bracis-28384	185	6	’	’	PART
bracis-28384	185	7	performance	performance	NOUN
bracis-28384	185	8	chart	chart	NOUN
bracis-28384	185	9	.	.	PUNCT
bracis-28384	186	1	full	full	ADJ
bracis-28384	186	2	size	size	NOUN
bracis-28384	186	3	image	image	NOUN
bracis-28384	186	4	preparing	prepare	VERB
bracis-28384	186	5	the	the	DET
bracis-28384	186	6	corpus	corpus	NOUN
bracis-28384	186	7	to	to	PART
bracis-28384	186	8	be	be	AUX
bracis-28384	186	9	used	use	VERB
bracis-28384	186	10	in	in	ADP
bracis-28384	186	11	machine	machine	NOUN
bracis-28384	186	12	learning	learning	NOUN
bracis-28384	186	13	and	and	CCONJ
bracis-28384	186	14	deep	deep	ADJ
bracis-28384	186	15	learning	learning	NOUN
bracis-28384	186	16	classifiers	classifier	NOUN
bracis-28384	186	17	was	be	AUX
bracis-28384	186	18	an	an	DET
bracis-28384	186	19	important	important	ADJ
bracis-28384	186	20	step	step	NOUN
bracis-28384	186	21	.	.	PUNCT
bracis-28384	187	1	an	an	DET
bracis-28384	187	2	experiment	experiment	NOUN
bracis-28384	187	3	was	be	AUX
bracis-28384	187	4	performed	perform	VERB
bracis-28384	187	5	with	with	ADP
bracis-28384	187	6	the	the	DET
bracis-28384	187	7	mlp	mlp	PROPN
bracis-28384	187	8	2	2	NUM
bracis-28384	187	9	classifier	classifier	NOUN
bracis-28384	187	10	,	,	PUNCT
bracis-28384	187	11	the	the	DET
bracis-28384	187	12	preprocessed	preprocesse	VERB
bracis-28384	187	13	and	and	CCONJ
bracis-28384	187	14	raw	raw	ADJ
bracis-28384	187	15	versions	version	NOUN
bracis-28384	187	16	of	of	ADP
bracis-28384	187	17	the	the	DET
bracis-28384	187	18	per	per	ADP
bracis-28384	187	19	-	-	PUNCT
bracis-28384	187	20	clinical	clinical	NOUN
bracis-28384	187	21	-	-	PUNCT
bracis-28384	187	22	event	event	NOUN
bracis-28384	187	23	dataset	dataset	NOUN
bracis-28384	187	24	,	,	PUNCT
bracis-28384	187	25	and	and	CCONJ
bracis-28384	187	26	the	the	DET
bracis-28384	187	27	preprocessed	preprocesse	VERB
bracis-28384	187	28	per	per	ADP
bracis-28384	187	29	-	-	PUNCT
bracis-28384	187	30	patient	patient	NOUN
bracis-28384	187	31	dataset	dataset	NOUN
bracis-28384	187	32	(	(	PUNCT
bracis-28384	187	33	as	as	SCONJ
bracis-28384	187	34	described	describe	VERB
bracis-28384	187	35	in	in	ADP
bracis-28384	187	36	sect	sect	NOUN
bracis-28384	187	37	.	.	PUNCT
bracis-28384	187	38	 	 	SPACE
bracis-28384	188	1	2	2	NUM
bracis-28384	188	2	)	)	PUNCT
bracis-28384	188	3	.	.	PUNCT
bracis-28384	189	1	the	the	DET
bracis-28384	189	2	performance	performance	NOUN
bracis-28384	189	3	of	of	ADP
bracis-28384	189	4	each	each	PRON
bracis-28384	189	5	is	be	AUX
bracis-28384	189	6	presented	present	VERB
bracis-28384	189	7	in	in	ADP
bracis-28384	189	8	table	table	NOUN
bracis-28384	189	9	 	 	SPACE
bracis-28384	189	10	2	2	NUM
bracis-28384	189	11	.	.	PUNCT
bracis-28384	190	1	this	this	DET
bracis-28384	190	2	table	table	NOUN
bracis-28384	190	3	shows	show	VERB
bracis-28384	190	4	a	a	DET
bracis-28384	190	5	significant	significant	ADJ
bracis-28384	190	6	improvement	improvement	NOUN
bracis-28384	190	7	in	in	ADP
bracis-28384	190	8	the	the	DET
bracis-28384	190	9	mlp	mlp	NOUN
bracis-28384	190	10	2	2	NUM
bracis-28384	190	11	classifier	classifier	NOUN
bracis-28384	190	12	performance	performance	NOUN
bracis-28384	190	13	with	with	ADP
bracis-28384	190	14	the	the	DET
bracis-28384	190	15	preprocessing	preprocessing	NOUN
bracis-28384	190	16	of	of	ADP
bracis-28384	190	17	the	the	DET
bracis-28384	190	18	dataset	dataset	NOUN
bracis-28384	190	19	(	(	PUNCT
bracis-28384	190	20	sect	sect	NOUN
bracis-28384	190	21	.	.	PUNCT
bracis-28384	190	22	 	 	SPACE
bracis-28384	190	23	2	2	NUM
bracis-28384	190	24	)	)	PUNCT
bracis-28384	190	25	,	,	PUNCT
bracis-28384	190	26	in	in	ADP
bracis-28384	190	27	both	both	PRON
bracis-28384	190	28	per	per	ADP
bracis-28384	190	29	-	-	PUNCT
bracis-28384	190	30	clinical	clinical	NOUN
bracis-28384	190	31	-	-	PUNCT
bracis-28384	190	32	event	event	NOUN
bracis-28384	190	33	and	and	CCONJ
bracis-28384	190	34	per	per	ADP
bracis-28384	190	35	-	-	PUNCT
bracis-28384	190	36	patient	patient	NOUN
bracis-28384	190	37	datasets	dataset	NOUN
bracis-28384	190	38	.	.	PUNCT
bracis-28384	191	1	furthermore	furthermore	ADV
bracis-28384	191	2	,	,	PUNCT
bracis-28384	191	3	the	the	DET
bracis-28384	191	4	per	per	ADP
bracis-28384	191	5	-	-	PUNCT
bracis-28384	191	6	patient	patient	NOUN
bracis-28384	191	7	corpus	corpus	NOUN
bracis-28384	191	8	performed	perform	VERB
bracis-28384	191	9	better	well	ADV
bracis-28384	191	10	than	than	ADP
bracis-28384	191	11	the	the	DET
bracis-28384	191	12	per	per	ADP
bracis-28384	191	13	-	-	PUNCT
bracis-28384	191	14	clinical	clinical	ADJ
bracis-28384	191	15	-	-	PUNCT
bracis-28384	191	16	events	event	NOUN
bracis-28384	191	17	corpus	corpus	NOUN
bracis-28384	191	18	.	.	PUNCT
bracis-28384	192	1	for	for	ADP
bracis-28384	192	2	that	that	DET
bracis-28384	192	3	reason	reason	NOUN
bracis-28384	192	4	,	,	PUNCT
bracis-28384	192	5	the	the	DET
bracis-28384	192	6	next	next	ADJ
bracis-28384	192	7	experiments	experiment	NOUN
bracis-28384	192	8	used	use	VERB
bracis-28384	192	9	the	the	DET
bracis-28384	192	10	per	per	ADP
bracis-28384	192	11	-	-	PUNCT
bracis-28384	192	12	patient	patient	NOUN
bracis-28384	192	13	corpus	corpus	NOUN
bracis-28384	192	14	.	.	PUNCT
bracis-28384	193	1	fig	fig	NOUN
bracis-28384	193	2	.	.	PUNCT
bracis-28384	194	1	5	5	X
bracis-28384	194	2	.	.	X
bracis-28384	195	1	the	the	DET
bracis-28384	195	2	performance	performance	NOUN
bracis-28384	195	3	chart	chart	NOUN
bracis-28384	195	4	of	of	ADP
bracis-28384	195	5	the	the	DET
bracis-28384	195	6	best	good	ADJ
bracis-28384	195	7	machine	machine	NOUN
bracis-28384	195	8	learning	learn	VERB
bracis-28384	195	9	classifier	classifier	NOUN
bracis-28384	195	10	and	and	CCONJ
bracis-28384	195	11	deep	deep	ADJ
bracis-28384	195	12	learning	learning	NOUN
bracis-28384	195	13	classifier	classifier	NOUN
bracis-28384	195	14	.	.	PUNCT
bracis-28384	196	1	full	full	ADJ
bracis-28384	196	2	size	size	NOUN
bracis-28384	196	3	image	image	NOUN
bracis-28384	196	4	after	after	ADP
bracis-28384	196	5	the	the	DET
bracis-28384	196	6	evaluation	evaluation	NOUN
bracis-28384	196	7	of	of	ADP
bracis-28384	196	8	the	the	DET
bracis-28384	196	9	machine	machine	NOUN
bracis-28384	196	10	learning	learn	VERB
bracis-28384	196	11	classifier	classifier	NOUN
bracis-28384	196	12	that	that	PRON
bracis-28384	196	13	best	well	ADV
bracis-28384	196	14	performed	perform	VERB
bracis-28384	197	1	,	,	PUNCT
bracis-28384	197	2	the	the	DET
bracis-28384	197	3	mlp	mlp	PROPN
bracis-28384	197	4	2	2	NUM
bracis-28384	197	5	classifier	classifier	NOUN
bracis-28384	197	6	was	be	AUX
bracis-28384	197	7	selected	select	VERB
bracis-28384	197	8	.	.	PUNCT
bracis-28384	198	1	a	a	DET
bracis-28384	198	2	new	new	ADJ
bracis-28384	198	3	experiment	experiment	NOUN
bracis-28384	198	4	was	be	AUX
bracis-28384	198	5	performed	perform	VERB
bracis-28384	198	6	,	,	PUNCT
bracis-28384	198	7	to	to	PART
bracis-28384	198	8	compare	compare	VERB
bracis-28384	198	9	the	the	DET
bracis-28384	198	10	mlp	mlp	NOUN
bracis-28384	198	11	2	2	NUM
bracis-28384	198	12	classifier	classifier	NOUN
bracis-28384	198	13	with	with	ADP
bracis-28384	198	14	an	an	DET
bracis-28384	198	15	lstm	lstm	NOUN
bracis-28384	198	16	recurrence	recurrence	NOUN
bracis-28384	198	17	neural	neural	ADJ
bracis-28384	198	18	network	network	NOUN
bracis-28384	198	19	,	,	PUNCT
bracis-28384	198	20	using	use	VERB
bracis-28384	198	21	the	the	DET
bracis-28384	198	22	preprocessed	preprocesse	VERB
bracis-28384	198	23	per	per	ADP
bracis-28384	198	24	-	-	PUNCT
bracis-28384	198	25	patient	patient	NOUN
bracis-28384	198	26	corpus	corpus	NOUN
bracis-28384	198	27	(	(	PUNCT
bracis-28384	198	28	as	as	SCONJ
bracis-28384	198	29	described	describe	VERB
bracis-28384	198	30	in	in	ADP
bracis-28384	198	31	sect	sect	NOUN
bracis-28384	198	32	.	.	PUNCT
bracis-28384	198	33	 	 	SPACE
bracis-28384	198	34	3.2	3.2	NUM
bracis-28384	198	35	)	)	PUNCT
bracis-28384	198	36	.	.	PUNCT
bracis-28384	199	1	figure	figure	VERB
bracis-28384	199	2	 	 	SPACE
bracis-28384	199	3	5	5	NUM
bracis-28384	199	4	shows	show	VERB
bracis-28384	199	5	that	that	SCONJ
bracis-28384	199	6	the	the	DET
bracis-28384	199	7	mlp	mlp	PROPN
bracis-28384	199	8	2	2	NUM
bracis-28384	199	9	performed	perform	VERB
bracis-28384	199	10	better	well	ADV
bracis-28384	199	11	than	than	ADP
bracis-28384	199	12	the	the	DET
bracis-28384	199	13	lstm	lstm	NOUN
bracis-28384	199	14	classifier	classifier	NOUN
bracis-28384	199	15	,	,	PUNCT
bracis-28384	199	16	even	even	ADV
bracis-28384	199	17	though	though	SCONJ
bracis-28384	199	18	the	the	DET
bracis-28384	199	19	latter	latter	ADJ
bracis-28384	199	20	is	be	AUX
bracis-28384	199	21	a	a	DET
bracis-28384	199	22	more	more	ADV
bracis-28384	199	23	recent	recent	ADJ
bracis-28384	199	24	neural	neural	ADJ
bracis-28384	199	25	network	network	NOUN
bracis-28384	199	26	.	.	PUNCT
bracis-28384	200	1	this	this	DET
bracis-28384	200	2	result	result	NOUN
bracis-28384	200	3	can	can	AUX
bracis-28384	200	4	be	be	AUX
bracis-28384	200	5	associated	associate	VERB
bracis-28384	200	6	with	with	ADP
bracis-28384	200	7	the	the	DET
bracis-28384	200	8	fact	fact	NOUN
bracis-28384	200	9	that	that	SCONJ
bracis-28384	200	10	this	this	DET
bracis-28384	200	11	experiment	experiment	NOUN
bracis-28384	200	12	used	use	VERB
bracis-28384	200	13	the	the	DET
bracis-28384	200	14	smallest	small	ADJ
bracis-28384	200	15	per	per	ADP
bracis-28384	200	16	-	-	PUNCT
bracis-28384	200	17	patient	patient	NOUN
bracis-28384	200	18	corpus	corpus	NOUN
bracis-28384	200	19	,	,	PUNCT
bracis-28384	200	20	and	and	CCONJ
bracis-28384	200	21	deep	deep	ADJ
bracis-28384	200	22	learning	learning	NOUN
bracis-28384	200	23	algorithms	algorithm	NOUN
bracis-28384	200	24	perform	perform	VERB
bracis-28384	200	25	better	well	ADV
bracis-28384	200	26	on	on	ADP
bracis-28384	200	27	large	large	ADJ
bracis-28384	200	28	datasets	dataset	NOUN
bracis-28384	200	29	.	.	PUNCT
bracis-28384	201	1	4	4	NUM
bracis-28384	201	2	conclusion	conclusion	NOUN
bracis-28384	201	3	with	with	ADP
bracis-28384	201	4	a	a	DET
bracis-28384	201	5	large	large	ADJ
bracis-28384	201	6	amount	amount	NOUN
bracis-28384	201	7	of	of	ADP
bracis-28384	201	8	information	information	NOUN
bracis-28384	201	9	generated	generate	VERB
bracis-28384	201	10	daily	daily	ADV
bracis-28384	201	11	in	in	ADP
bracis-28384	201	12	healthcare	healthcare	PROPN
bracis-28384	201	13	,	,	PUNCT
bracis-28384	201	14	it	it	PRON
bracis-28384	201	15	is	be	AUX
bracis-28384	201	16	unsuitable	unsuitable	ADJ
bracis-28384	201	17	for	for	SCONJ
bracis-28384	201	18	humans	human	NOUN
bracis-28384	201	19	to	to	PART
bracis-28384	201	20	process	process	VERB
bracis-28384	201	21	it	it	PRON
bracis-28384	201	22	manually	manually	ADV
bracis-28384	201	23	.	.	PUNCT
bracis-28384	202	1	furthermore	furthermore	ADV
bracis-28384	202	2	,	,	PUNCT
bracis-28384	202	3	much	much	ADJ
bracis-28384	202	4	of	of	ADP
bracis-28384	202	5	this	this	DET
bracis-28384	202	6	information	information	NOUN
bracis-28384	202	7	is	be	AUX
bracis-28384	202	8	recorded	record	VERB
bracis-28384	202	9	as	as	ADP
bracis-28384	202	10	unstructured	unstructured	ADJ
bracis-28384	202	11	data	datum	NOUN
bracis-28384	202	12	,	,	PUNCT
bracis-28384	202	13	transforming	transform	VERB
bracis-28384	202	14	it	it	PRON
bracis-28384	202	15	into	into	ADP
bracis-28384	202	16	a	a	DET
bracis-28384	202	17	hard	hard	ADJ
bracis-28384	202	18	task	task	NOUN
bracis-28384	202	19	.	.	PUNCT
bracis-28384	203	1	it	it	PRON
bracis-28384	203	2	is	be	AUX
bracis-28384	203	3	necessary	necessary	ADJ
bracis-28384	203	4	to	to	PART
bracis-28384	203	5	develop	develop	VERB
bracis-28384	203	6	tools	tool	NOUN
bracis-28384	203	7	to	to	PART
bracis-28384	203	8	help	help	VERB
bracis-28384	203	9	healthcare	healthcare	NOUN
bracis-28384	203	10	professionals	professional	NOUN
bracis-28384	203	11	to	to	PART
bracis-28384	203	12	deal	deal	VERB
bracis-28384	203	13	with	with	ADP
bracis-28384	203	14	it	it	PRON
bracis-28384	203	15	,	,	PUNCT
bracis-28384	203	16	automate	automate	VERB
bracis-28384	203	17	the	the	DET
bracis-28384	203	18	classification	classification	NOUN
bracis-28384	203	19	and	and	CCONJ
bracis-28384	203	20	extraction	extraction	NOUN
bracis-28384	203	21	of	of	ADP
bracis-28384	203	22	information	information	NOUN
bracis-28384	203	23	from	from	ADP
bracis-28384	203	24	medical	medical	ADJ
bracis-28384	203	25	notes	note	NOUN
bracis-28384	203	26	,	,	PUNCT
bracis-28384	203	27	and	and	CCONJ
bracis-28384	203	28	enable	enable	VERB
bracis-28384	203	29	this	this	DET
bracis-28384	203	30	information	information	NOUN
bracis-28384	203	31	to	to	PART
bracis-28384	203	32	be	be	AUX
bracis-28384	203	33	processed	process	VERB
bracis-28384	203	34	by	by	ADP
bracis-28384	203	35	machines	machine	NOUN
bracis-28384	203	36	.	.	PUNCT
bracis-28384	204	1	this	this	DET
bracis-28384	204	2	work	work	NOUN
bracis-28384	204	3	created	create	VERB
bracis-28384	204	4	the	the	DET
bracis-28384	204	5	corpus	corpus	NOUN
bracis-28384	204	6	based	base	VERB
bracis-28384	204	7	on	on	ADP
bracis-28384	204	8	non	non	ADJ
bracis-28384	204	9	-	-	ADJ
bracis-28384	204	10	synthetic	synthetic	ADJ
bracis-28384	204	11	oncological	oncological	ADJ
bracis-28384	204	12	medical	medical	ADJ
bracis-28384	204	13	notes	note	NOUN
bracis-28384	204	14	from	from	ADP
bracis-28384	204	15	an	an	DET
bracis-28384	204	16	oncology	oncology	NOUN
bracis-28384	204	17	ehr	ehr	NOUN
bracis-28384	204	18	system	system	NOUN
bracis-28384	204	19	database	database	NOUN
bracis-28384	204	20	.	.	PUNCT
bracis-28384	205	1	this	this	DET
bracis-28384	205	2	corpus	corpus	NOUN
bracis-28384	205	3	creation	creation	NOUN
bracis-28384	205	4	process	process	NOUN
bracis-28384	205	5	allowed	allow	VERB
bracis-28384	205	6	the	the	DET
bracis-28384	205	7	identification	identification	NOUN
bracis-28384	205	8	of	of	ADP
bracis-28384	205	9	various	various	ADJ
bracis-28384	205	10	preprocessing	preprocessing	NOUN
bracis-28384	205	11	steps	step	NOUN
bracis-28384	205	12	(	(	PUNCT
bracis-28384	205	13	as	as	SCONJ
bracis-28384	205	14	described	describe	VERB
bracis-28384	205	15	in	in	ADP
bracis-28384	205	16	sect	sect	NOUN
bracis-28384	205	17	.	.	PUNCT
bracis-28384	205	18	 	 	SPACE
bracis-28384	205	19	2	2	NUM
bracis-28384	205	20	)	)	PUNCT
bracis-28384	205	21	,	,	PUNCT
bracis-28384	205	22	and	and	CCONJ
bracis-28384	205	23	specific	specific	ADJ
bracis-28384	205	24	term	term	NOUN
bracis-28384	205	25	treatment	treatment	NOUN
bracis-28384	205	26	to	to	PART
bracis-28384	205	27	improve	improve	VERB
bracis-28384	205	28	overall	overall	ADJ
bracis-28384	205	29	results	result	NOUN
bracis-28384	205	30	.	.	PUNCT
bracis-28384	206	1	the	the	DET
bracis-28384	206	2	experiments	experiment	NOUN
bracis-28384	206	3	achieved	achieve	VERB
bracis-28384	206	4	good	good	ADJ
bracis-28384	206	5	accuracy	accuracy	NOUN
bracis-28384	206	6	,	,	PUNCT
bracis-28384	206	7	especially	especially	ADV
bracis-28384	206	8	mlp	mlp	NOUN
bracis-28384	206	9	machine	machine	NOUN
bracis-28384	206	10	learning	learning	NOUN
bracis-28384	206	11	and	and	CCONJ
bracis-28384	206	12	lstm	lstm	NOUN
bracis-28384	206	13	deep	deep	ADJ
bracis-28384	206	14	learning	learning	NOUN
bracis-28384	206	15	methods	method	NOUN
bracis-28384	206	16	,	,	PUNCT
bracis-28384	206	17	showing	show	VERB
bracis-28384	206	18	possibilities	possibility	NOUN
bracis-28384	206	19	of	of	ADP
bracis-28384	206	20	using	use	VERB
bracis-28384	206	21	these	these	DET
bracis-28384	206	22	resources	resource	NOUN
bracis-28384	206	23	for	for	ADP
bracis-28384	206	24	medical	medical	ADJ
bracis-28384	206	25	notes	note	NOUN
bracis-28384	206	26	text	text	NOUN
bracis-28384	206	27	classification	classification	NOUN
bracis-28384	206	28	.	.	PUNCT
bracis-28384	207	1	therefore	therefore	ADV
bracis-28384	207	2	,	,	PUNCT
bracis-28384	207	3	this	this	DET
bracis-28384	207	4	set	set	NOUN
bracis-28384	207	5	of	of	ADP
bracis-28384	207	6	tasks	task	NOUN
bracis-28384	207	7	provided	provide	VERB
bracis-28384	207	8	strong	strong	ADJ
bracis-28384	207	9	support	support	NOUN
bracis-28384	207	10	indicating	indicate	VERB
bracis-28384	207	11	resources	resource	NOUN
bracis-28384	207	12	and	and	CCONJ
bracis-28384	207	13	processes	process	NOUN
bracis-28384	207	14	to	to	PART
bracis-28384	207	15	text	text	VERB
bracis-28384	207	16	classification	classification	NOUN
bracis-28384	207	17	in	in	ADP
bracis-28384	207	18	the	the	DET
bracis-28384	207	19	specific	specific	ADJ
bracis-28384	207	20	context	context	NOUN
bracis-28384	207	21	of	of	ADP
bracis-28384	207	22	health	health	NOUN
bracis-28384	207	23	professional	professional	ADJ
bracis-28384	207	24	support	support	NOUN
bracis-28384	207	25	.	.	PUNCT
bracis-28384	208	1	artificial	artificial	ADJ
bracis-28384	208	2	intelligence	intelligence	NOUN
bracis-28384	208	3	,	,	PUNCT
bracis-28384	208	4	special	special	ADJ
bracis-28384	208	5	machine	machine	NOUN
bracis-28384	208	6	learning	learning	NOUN
bracis-28384	208	7	,	,	PUNCT
bracis-28384	208	8	and	and	CCONJ
bracis-28384	208	9	deep	deep	ADJ
bracis-28384	208	10	learning	learning	NOUN
bracis-28384	208	11	algorithms	algorithm	NOUN
bracis-28384	208	12	have	have	AUX
bracis-28384	208	13	been	be	AUX
bracis-28384	208	14	widely	widely	ADV
bracis-28384	208	15	applied	apply	VERB
bracis-28384	208	16	in	in	ADP
bracis-28384	208	17	several	several	ADJ
bracis-28384	208	18	industries	industry	NOUN
bracis-28384	208	19	,	,	PUNCT
bracis-28384	208	20	sometimes	sometimes	ADV
bracis-28384	208	21	surpassing	surpass	VERB
bracis-28384	208	22	human	human	ADJ
bracis-28384	208	23	accuracy	accuracy	NOUN
bracis-28384	208	24	.	.	PUNCT
bracis-28384	209	1	in	in	ADP
bracis-28384	209	2	the	the	DET
bracis-28384	209	3	healthcare	healthcare	NOUN
bracis-28384	209	4	industry	industry	NOUN
bracis-28384	209	5	,	,	PUNCT
bracis-28384	209	6	several	several	ADJ
bracis-28384	209	7	processes	process	NOUN
bracis-28384	209	8	can	can	AUX
bracis-28384	209	9	be	be	AUX
bracis-28384	209	10	improved	improve	VERB
bracis-28384	209	11	by	by	ADP
bracis-28384	209	12	ai	ai	NOUN
bracis-28384	209	13	,	,	PUNCT
bracis-28384	209	14	leveraging	leverage	VERB
bracis-28384	209	15	healthcare	healthcare	NOUN
bracis-28384	209	16	professionals	professional	NOUN
bracis-28384	209	17	.	.	PUNCT
bracis-28384	210	1	in	in	ADP
bracis-28384	210	2	the	the	DET
bracis-28384	210	3	oncology	oncology	NOUN
bracis-28384	210	4	area	area	NOUN
bracis-28384	210	5	,	,	PUNCT
bracis-28384	210	6	diagnosis	diagnosis	NOUN
bracis-28384	210	7	and	and	CCONJ
bracis-28384	210	8	treatment	treatment	NOUN
bracis-28384	210	9	decision	decision	NOUN
bracis-28384	210	10	-	-	PUNCT
bracis-28384	210	11	making	making	NOUN
bracis-28384	210	12	is	be	AUX
bracis-28384	210	13	one	one	NUM
bracis-28384	210	14	of	of	ADP
bracis-28384	210	15	these	these	DET
bracis-28384	210	16	complex	complex	ADJ
bracis-28384	210	17	processes	process	NOUN
bracis-28384	210	18	that	that	PRON
bracis-28384	210	19	ai	ai	VERB
bracis-28384	210	20	algorithms	algorithm	NOUN
bracis-28384	210	21	can	can	AUX
bracis-28384	210	22	aid	aid	VERB
bracis-28384	210	23	.	.	PUNCT
bracis-28384	211	1	considering	consider	VERB
bracis-28384	211	2	this	this	DET
bracis-28384	211	3	work	work	NOUN
bracis-28384	211	4	’s	’s	PART
bracis-28384	211	5	development	development	NOUN
bracis-28384	211	6	,	,	PUNCT
bracis-28384	211	7	the	the	DET
bracis-28384	211	8	following	follow	VERB
bracis-28384	211	9	list	list	NOUN
bracis-28384	211	10	of	of	ADP
bracis-28384	211	11	future	future	ADJ
bracis-28384	211	12	steps	step	NOUN
bracis-28384	211	13	is	be	AUX
bracis-28384	211	14	suggested	suggest	VERB
bracis-28384	211	15	:	:	PUNCT
bracis-28384	211	16	create	create	VERB
bracis-28384	211	17	larger	large	ADJ
bracis-28384	211	18	corpus	corpus	NOUN
bracis-28384	211	19	with	with	ADP
bracis-28384	211	20	the	the	DET
bracis-28384	211	21	medical	medical	ADJ
bracis-28384	211	22	notes	note	NOUN
bracis-28384	211	23	from	from	ADP
bracis-28384	211	24	several	several	ADJ
bracis-28384	211	25	oncology	oncology	NOUN
bracis-28384	211	26	clinic	clinic	NOUN
bracis-28384	211	27	databases	database	NOUN
bracis-28384	211	28	and	and	CCONJ
bracis-28384	211	29	conduct	conduct	VERB
bracis-28384	211	30	new	new	ADJ
bracis-28384	211	31	experiments	experiment	NOUN
bracis-28384	211	32	;	;	PUNCT
bracis-28384	211	33	enhance	enhance	VERB
bracis-28384	211	34	the	the	DET
bracis-28384	211	35	corpus	corpus	NOUN
bracis-28384	211	36	preprocessing	preprocesse	VERB
bracis-28384	211	37	step	step	NOUN
bracis-28384	211	38	by	by	ADP
bracis-28384	211	39	removing	remove	VERB
bracis-28384	211	40	low	low	ADJ
bracis-28384	211	41	-	-	PUNCT
bracis-28384	211	42	frequency	frequency	NOUN
bracis-28384	211	43	words	word	NOUN
bracis-28384	211	44	,	,	PUNCT
bracis-28384	211	45	spell	spell	NOUN
bracis-28384	211	46	checker	checker	NOUN
bracis-28384	211	47	,	,	PUNCT
bracis-28384	211	48	replacing	replace	VERB
bracis-28384	211	49	acronyms	acronym	NOUN
bracis-28384	211	50	and	and	CCONJ
bracis-28384	211	51	abbreviations	abbreviation	NOUN
bracis-28384	211	52	by	by	ADP
bracis-28384	211	53	its	its	PRON
bracis-28384	211	54	standard	standard	ADJ
bracis-28384	211	55	word	word	NOUN
bracis-28384	211	56	;	;	PUNCT
bracis-28384	211	57	create	create	VERB
bracis-28384	211	58	a	a	DET
bracis-28384	211	59	domain	domain	NOUN
bracis-28384	211	60	-	-	PUNCT
bracis-28384	211	61	specific	specific	ADJ
bracis-28384	211	62	word	word	NOUN
bracis-28384	211	63	embedding	embed	VERB
bracis-28384	211	64	from	from	ADP
bracis-28384	211	65	the	the	DET
bracis-28384	211	66	corpora	corpora	NOUN
bracis-28384	211	67	and	and	CCONJ
bracis-28384	211	68	apply	apply	VERB
bracis-28384	211	69	it	it	PRON
bracis-28384	211	70	with	with	ADP
bracis-28384	211	71	the	the	DET
bracis-28384	211	72	classifiers	classifier	NOUN
bracis-28384	211	73	.	.	PUNCT
bracis-28384	212	1	another	another	DET
bracis-28384	212	2	option	option	NOUN
bracis-28384	212	3	is	be	AUX
bracis-28384	212	4	to	to	PART
bracis-28384	212	5	use	use	VERB
bracis-28384	212	6	general	general	ADJ
bracis-28384	212	7	-	-	PUNCT
bracis-28384	212	8	purpose	purpose	NOUN
bracis-28384	212	9	word	word	NOUN
bracis-28384	212	10	embeddings	embedding	NOUN
bracis-28384	212	11	and	and	CCONJ
bracis-28384	212	12	fine	fine	ADJ
bracis-28384	212	13	-	-	PUNCT
bracis-28384	212	14	tune	tune	NOUN
bracis-28384	212	15	it	it	PRON
bracis-28384	212	16	with	with	ADP
bracis-28384	212	17	the	the	DET
bracis-28384	212	18	corpora	corpus	NOUN
bracis-28384	212	19	;	;	PUNCT
bracis-28384	212	20	improve	improve	VERB
bracis-28384	212	21	the	the	DET
bracis-28384	212	22	enrichment	enrichment	NOUN
bracis-28384	212	23	process	process	NOUN
bracis-28384	212	24	with	with	ADP
bracis-28384	212	25	more	more	ADV
bracis-28384	212	26	structured	structured	ADJ
bracis-28384	212	27	data	datum	NOUN
bracis-28384	212	28	available	available	ADJ
bracis-28384	212	29	from	from	ADP
bracis-28384	212	30	the	the	DET
bracis-28384	212	31	oncology	oncology	NOUN
bracis-28384	212	32	ehr	ehr	NOUN
bracis-28384	212	33	system	system	NOUN
bracis-28384	212	34	,	,	PUNCT
bracis-28384	212	35	such	such	ADJ
bracis-28384	212	36	as	as	ADP
bracis-28384	212	37	prescribed	prescribed	ADJ
bracis-28384	212	38	medications	medication	NOUN
bracis-28384	212	39	,	,	PUNCT
bracis-28384	212	40	patient	patient	NOUN
bracis-28384	212	41	’s	’s	PART
bracis-28384	212	42	problems	problem	NOUN
bracis-28384	212	43	,	,	PUNCT
bracis-28384	212	44	and	and	CCONJ
bracis-28384	212	45	allergies	allergy	NOUN
bracis-28384	212	46	;	;	PUNCT
bracis-28384	212	47	tune	tune	NOUN
bracis-28384	212	48	the	the	DET
bracis-28384	212	49	implemented	implement	VERB
bracis-28384	212	50	classifiers	classifier	NOUN
bracis-28384	212	51	and	and	CCONJ
bracis-28384	212	52	try	try	VERB
bracis-28384	212	53	different	different	ADJ
bracis-28384	212	54	versions	version	NOUN
bracis-28384	212	55	,	,	PUNCT
bracis-28384	212	56	such	such	ADJ
bracis-28384	212	57	as	as	ADP
bracis-28384	212	58	a	a	DET
bracis-28384	212	59	bidirectional	bidirectional	ADJ
bracis-28384	212	60	lstm	lstm	NOUN
bracis-28384	212	61	(	(	PUNCT
bracis-28384	212	62	bi	bi	NOUN
bracis-28384	212	63	-	-	NOUN
bracis-28384	212	64	lstm	lstm	ADJ
bracis-28384	212	65	)	)	PUNCT
bracis-28384	212	66	;	;	PUNCT
bracis-28384	212	67	integrate	integrate	VERB
bracis-28384	212	68	the	the	DET
bracis-28384	212	69	implemented	implement	VERB
bracis-28384	212	70	classifiers	classifier	NOUN
bracis-28384	212	71	with	with	ADP
bracis-28384	212	72	the	the	DET
bracis-28384	212	73	oncology	oncology	NOUN
bracis-28384	212	74	ehr	ehr	NOUN
bracis-28384	212	75	system	system	NOUN
bracis-28384	212	76	to	to	PART
bracis-28384	212	77	obtain	obtain	VERB
bracis-28384	212	78	feedback	feedback	NOUN
bracis-28384	212	79	from	from	ADP
bracis-28384	212	80	the	the	DET
bracis-28384	212	81	healthcare	healthcare	NOUN
bracis-28384	212	82	professionals	professional	NOUN
bracis-28384	212	83	about	about	ADP
bracis-28384	212	84	their	their	PRON
bracis-28384	212	85	accuracy	accuracy	NOUN
bracis-28384	212	86	,	,	PUNCT
bracis-28384	212	87	and	and	CCONJ
bracis-28384	212	88	suggest	suggest	VERB
bracis-28384	212	89	the	the	DET
bracis-28384	212	90	diagnosis	diagnosis	NOUN
bracis-28384	212	91	based	base	VERB
bracis-28384	212	92	on	on	ADP
bracis-28384	212	93	the	the	DET
bracis-28384	212	94	patient	patient	NOUN
bracis-28384	212	95	’s	’s	PART
bracis-28384	212	96	clinical	clinical	ADJ
bracis-28384	212	97	history	history	NOUN
bracis-28384	212	98	.	.	PUNCT
bracis-28384	213	1	notes	note	VERB
bracis-28384	213	2	1.https://scikit-learn.org/.	1.https://scikit-learn.org/.	PROPN
bracis-28384	213	3	2.https://keras.io/.	2.https://keras.io/.	NUM
bracis-28384	213	4	references	reference	NOUN
bracis-28384	213	5	sabra	sabra	PROPN
bracis-28384	213	6	,	,	PUNCT
bracis-28384	213	7	s.	s.	PROPN
bracis-28384	213	8	,	,	PUNCT
bracis-28384	213	9	alobaidi	alobaidi	NOUN
bracis-28384	213	10	,	,	PUNCT
bracis-28384	213	11	m.	m.	NOUN
bracis-28384	213	12	,	,	PUNCT
bracis-28384	213	13	malik	malik	PROPN
bracis-28384	213	14	,	,	PUNCT
bracis-28384	213	15	k.m	k.m	PROPN
bracis-28384	213	16	.	.	PROPN
bracis-28384	213	17	,	,	PUNCT
bracis-28384	213	18	sabeeh	sabeeh	PROPN
bracis-28384	213	19	,	,	PUNCT
bracis-28384	213	20	v.	v.	ADJ
bracis-28384	213	21	:	:	PUNCT
bracis-28384	213	22	performance	performance	NOUN
bracis-28384	213	23	evaluation	evaluation	NOUN
bracis-28384	213	24	for	for	ADP
bracis-28384	213	25	semantic	semantic	NOUN
bracis-28384	213	26	-	-	PUNCT
bracis-28384	213	27	based	base	VERB
bracis-28384	213	28	risk	risk	NOUN
bracis-28384	213	29	factors	factor	NOUN
bracis-28384	213	30	extraction	extraction	NOUN
bracis-28384	213	31	from	from	ADP
bracis-28384	213	32	clinical	clinical	ADJ
bracis-28384	213	33	narratives	narrative	NOUN
bracis-28384	213	34	.	.	PUNCT
bracis-28384	214	1	in	in	ADP
bracis-28384	214	2	:	:	PUNCT
bracis-28384	214	3	ieee	ieee	NOUN
bracis-28384	214	4	8th	8th	ADJ
bracis-28384	214	5	annual	annual	ADJ
bracis-28384	214	6	computing	computing	NOUN
bracis-28384	214	7	and	and	CCONJ
bracis-28384	214	8	communication	communication	NOUN
bracis-28384	214	9	workshop	workshop	NOUN
bracis-28384	214	10	and	and	CCONJ
bracis-28384	214	11	conference	conference	NOUN
bracis-28384	214	12	(	(	PUNCT
bracis-28384	214	13	ccwc	ccwc	PROPN
bracis-28384	214	14	)	)	PUNCT
bracis-28384	214	15	.	.	PUNCT
bracis-28384	215	1	las	las	PROPN
bracis-28384	215	2	vegas	vegas	PROPN
bracis-28384	215	3	,	,	PUNCT
bracis-28384	215	4	nv	nv	PROPN
bracis-28384	215	5	,	,	PUNCT
bracis-28384	215	6	usa	usa	PROPN
bracis-28384	215	7	,	,	PUNCT
bracis-28384	215	8	vol	vol	NOUN
bracis-28384	215	9	.	.	NOUN
bracis-28384	215	10	2018	2018	NUM
bracis-28384	215	11	,	,	PUNCT
bracis-28384	215	12	pp	pp	ADJ
bracis-28384	215	13	.	.	PUNCT
bracis-28384	216	1	695–701	695–701	NUM
bracis-28384	216	2	(	(	PUNCT
bracis-28384	216	3	2018	2018	NUM
bracis-28384	216	4	)	)	PUNCT
bracis-28384	216	5	.	.	PUNCT
bracis-28384	217	1	https://doi.org/10.1109/ccwc.2018.8301742	https://doi.org/10.1109/ccwc.2018.8301742	PROPN
bracis-28384	217	2	glatzer	glatzer	NOUN
bracis-28384	217	3	,	,	PUNCT
bracis-28384	217	4	m.	m.	NOUN
bracis-28384	217	5	,	,	PUNCT
bracis-28384	217	6	panje	panje	NOUN
bracis-28384	217	7	,	,	PUNCT
bracis-28384	217	8	c.m	c.m	PROPN
bracis-28384	217	9	.	.	PROPN
bracis-28384	217	10	,	,	PUNCT
bracis-28384	217	11	sirén	sirén	PROPN
bracis-28384	217	12	,	,	PUNCT
bracis-28384	217	13	c.	c.	NOUN
bracis-28384	217	14	,	,	PUNCT
bracis-28384	217	15	cihoric	cihoric	ADJ
bracis-28384	217	16	,	,	PUNCT
bracis-28384	217	17	n.	n.	NOUN
bracis-28384	217	18	,	,	PUNCT
bracis-28384	217	19	putora	putora	PROPN
bracis-28384	217	20	,	,	PUNCT
bracis-28384	217	21	p.m.	p.m.	ADV
bracis-28384	217	22	:	:	PUNCT
bracis-28384	217	23	decision	decision	NOUN
bracis-28384	217	24	making	make	VERB
bracis-28384	217	25	criteria	criterion	NOUN
bracis-28384	217	26	in	in	ADP
bracis-28384	217	27	oncology	oncology	NOUN
bracis-28384	217	28	.	.	PUNCT
bracis-28384	218	1	oncology	oncology	NOUN
bracis-28384	218	2	98(6	98(6	NOUN
bracis-28384	218	3	)	)	PUNCT
bracis-28384	218	4	,	,	PUNCT
bracis-28384	218	5	370–378	370–378	NUM
bracis-28384	218	6	(	(	PUNCT
bracis-28384	218	7	2020	2020	NUM
bracis-28384	218	8	)	)	PUNCT
bracis-28384	218	9	.	.	PUNCT
bracis-28384	219	1	epub	epub	PROPN
bracis-28384	219	2	2018	2018	NUM
bracis-28384	219	3	sep	sep	PROPN
bracis-28384	219	4	18	18	NUM
bracis-28384	219	5	.	.	PUNCT
bracis-28384	220	1	pmid	pmid	NOUN
bracis-28384	220	2	:	:	PUNCT
bracis-28384	220	3	30227426	30227426	NUM
bracis-28384	220	4	.	.	PUNCT
bracis-28384	221	1	https://doi.org/10.1159/000492272	https://doi.org/10.1159/000492272	PROPN
bracis-28384	221	2	reyes	reyes	PROPN
bracis-28384	221	3	-	-	PUNCT
bracis-28384	221	4	ortiz	ortiz	PROPN
bracis-28384	221	5	,	,	PUNCT
bracis-28384	221	6	j.a	j.a	PROPN
bracis-28384	221	7	.	.	PROPN
bracis-28384	221	8	,	,	PUNCT
bracis-28384	221	9	gonzález	gonzález	PROPN
bracis-28384	221	10	-	-	PUNCT
bracis-28384	221	11	beltrán	beltrán	PROPN
bracis-28384	221	12	,	,	PUNCT
bracis-28384	221	13	b.a	b.a	PROPN
bracis-28384	221	14	.	.	PROPN
bracis-28384	221	15	,	,	PUNCT
bracis-28384	221	16	gallardo	gallardo	PROPN
bracis-28384	221	17	-	-	PUNCT
bracis-28384	221	18	lópez	lópez	PROPN
bracis-28384	221	19	,	,	PUNCT
bracis-28384	221	20	l.	l.	PROPN
bracis-28384	221	21	:	:	PUNCT
bracis-28384	221	22	clinical	clinical	ADJ
bracis-28384	221	23	decision	decision	NOUN
bracis-28384	221	24	support	support	NOUN
bracis-28384	221	25	systems	system	NOUN
bracis-28384	221	26	:	:	PUNCT
bracis-28384	221	27	a	a	DET
bracis-28384	221	28	survey	survey	NOUN
bracis-28384	221	29	of	of	ADP
bracis-28384	221	30	nlp	nlp	NOUN
bracis-28384	221	31	-	-	PUNCT
bracis-28384	221	32	based	base	VERB
bracis-28384	221	33	approaches	approach	NOUN
bracis-28384	221	34	from	from	ADP
bracis-28384	221	35	unstructured	unstructured	ADJ
bracis-28384	221	36	data	datum	NOUN
bracis-28384	221	37	.	.	PUNCT
bracis-28384	222	1	in	in	ADP
bracis-28384	222	2	:	:	PUNCT
bracis-28384	222	3	26th	26th	ADJ
bracis-28384	222	4	international	international	ADJ
bracis-28384	222	5	workshop	workshop	NOUN
bracis-28384	222	6	on	on	ADP
bracis-28384	222	7	database	database	NOUN
bracis-28384	222	8	and	and	CCONJ
bracis-28384	222	9	expert	expert	NOUN
bracis-28384	222	10	systems	system	NOUN
bracis-28384	222	11	applications	application	NOUN
bracis-28384	222	12	(	(	PUNCT
bracis-28384	222	13	dexa	dexa	NOUN
bracis-28384	222	14	)	)	PUNCT
bracis-28384	222	15	.	.	PUNCT
bracis-28384	223	1	valencia	valencia	PROPN
bracis-28384	223	2	,	,	PUNCT
bracis-28384	223	3	spain	spain	PROPN
bracis-28384	223	4	vol	vol	NOUN
bracis-28384	223	5	.	.	PROPN
bracis-28384	223	6	2015	2015	NUM
bracis-28384	223	7	,	,	PUNCT
bracis-28384	223	8	pp	pp	ADJ
bracis-28384	223	9	.	.	PUNCT
bracis-28384	224	1	163–167	163–167	NUM
bracis-28384	224	2	(	(	PUNCT
bracis-28384	224	3	2015	2015	NUM
bracis-28384	224	4	)	)	PUNCT
bracis-28384	224	5	.	.	PUNCT
bracis-28384	225	1	https://doi.org/10.1109/dexa.2015.47	https://doi.org/10.1109/dexa.2015.47	PROPN
bracis-28384	225	2	alemzadeh	alemzadeh	PROPN
bracis-28384	225	3	,	,	PUNCT
bracis-28384	225	4	h.	h.	PROPN
bracis-28384	225	5	,	,	PUNCT
bracis-28384	225	6	devarakonda	devarakonda	NOUN
bracis-28384	225	7	,	,	PUNCT
bracis-28384	225	8	m.	m.	NOUN
bracis-28384	225	9	:	:	PUNCT
bracis-28384	225	10	an	an	DET
bracis-28384	225	11	nlp	nlp	NOUN
bracis-28384	225	12	-	-	PUNCT
bracis-28384	225	13	based	base	VERB
bracis-28384	225	14	cognitive	cognitive	ADJ
bracis-28384	225	15	system	system	NOUN
bracis-28384	225	16	for	for	ADP
bracis-28384	225	17	disease	disease	NOUN
bracis-28384	225	18	status	status	NOUN
bracis-28384	225	19	identification	identification	NOUN
bracis-28384	225	20	in	in	ADP
bracis-28384	225	21	electronic	electronic	ADJ
bracis-28384	225	22	health	health	NOUN
bracis-28384	225	23	records	record	NOUN
bracis-28384	225	24	.	.	PUNCT
bracis-28384	226	1	in	in	ADP
bracis-28384	226	2	:	:	PUNCT
bracis-28384	226	3	2017	2017	NUM
bracis-28384	226	4	ieee	ieee	NOUN
bracis-28384	226	5	embs	emb	VERB
bracis-28384	226	6	international	international	ADJ
bracis-28384	226	7	conference	conference	NOUN
bracis-28384	226	8	on	on	ADP
bracis-28384	226	9	biomedical	biomedical	PROPN
bracis-28384	226	10	&	&	CCONJ
bracis-28384	226	11	health	health	NOUN
bracis-28384	226	12	informatics	informatic	NOUN
bracis-28384	226	13	(	(	PUNCT
bracis-28384	226	14	bhi	bhi	PROPN
bracis-28384	226	15	)	)	PUNCT
bracis-28384	226	16	,	,	PUNCT
bracis-28384	226	17	orlando	orlando	PROPN
bracis-28384	226	18	,	,	PUNCT
bracis-28384	226	19	fl	fl	PROPN
bracis-28384	226	20	,	,	PUNCT
bracis-28384	226	21	usa	usa	PROPN
bracis-28384	226	22	,	,	PUNCT
bracis-28384	226	23	pp	pp	PROPN
bracis-28384	226	24	.	.	PUNCT
bracis-28384	226	25	89–92	89–92	NUM
bracis-28384	226	26	(	(	PUNCT
bracis-28384	226	27	2017	2017	NUM
bracis-28384	226	28	)	)	PUNCT
bracis-28384	226	29	.	.	PUNCT
bracis-28384	227	1	https://doi.org/10.1109/bhi.2017.7897212	https://doi.org/10.1109/bhi.2017.7897212	ADJ
bracis-28384	227	2	meskó	meskó	PROPN
bracis-28384	227	3	,	,	PUNCT
bracis-28384	227	4	b.	b.	PROPN
bracis-28384	227	5	:	:	PUNCT
bracis-28384	227	6	the	the	DET
bracis-28384	227	7	guide	guide	NOUN
bracis-28384	227	8	to	to	ADP
bracis-28384	227	9	the	the	DET
bracis-28384	227	10	future	future	NOUN
bracis-28384	227	11	of	of	ADP
bracis-28384	227	12	medicine	medicine	NOUN
bracis-28384	227	13	:	:	PUNCT
bracis-28384	227	14	technology	technology	NOUN
bracis-28384	227	15	and	and	CCONJ
bracis-28384	227	16	the	the	DET
bracis-28384	227	17	human	human	ADJ
bracis-28384	227	18	touch	touch	NOUN
bracis-28384	227	19	.	.	PUNCT
bracis-28384	228	1	in	in	ADP
bracis-28384	228	2	:	:	PUNCT
bracis-28384	228	3	webicina	webicina	NOUN
bracis-28384	228	4	kft	kft	NOUN
bracis-28384	228	5	(	(	PUNCT
bracis-28384	228	6	2014	2014	NUM
bracis-28384	228	7	)	)	PUNCT
bracis-28384	228	8	google	google	PROPN
bracis-28384	228	9	scholar	scholar	NOUN
bracis-28384	228	10	  	  	SPACE
bracis-28384	228	11	zhang	zhang	PROPN
bracis-28384	228	12	,	,	PUNCT
bracis-28384	228	13	r.	r.	PROPN
bracis-28384	228	14	,	,	PUNCT
bracis-28384	228	15	ma	ma	PROPN
bracis-28384	228	16	,	,	PUNCT
bracis-28384	228	17	s.	s.	PROPN
bracis-28384	228	18	,	,	PUNCT
bracis-28384	228	19	shanahan	shanahan	PROPN
bracis-28384	228	20	,	,	PUNCT
bracis-28384	228	21	l.	l.	PROPN
bracis-28384	228	22	,	,	PUNCT
bracis-28384	228	23	munroe	munroe	PROPN
bracis-28384	228	24	,	,	PUNCT
bracis-28384	228	25	j.	j.	PROPN
bracis-28384	228	26	,	,	PUNCT
bracis-28384	228	27	horn	horn	PROPN
bracis-28384	228	28	,	,	PUNCT
bracis-28384	228	29	s.	s.	PROPN
bracis-28384	228	30	,	,	PUNCT
bracis-28384	228	31	speedie	speedie	PROPN
bracis-28384	228	32	,	,	PUNCT
bracis-28384	228	33	s.	s.	PROPN
bracis-28384	228	34	:	:	PUNCT
bracis-28384	228	35	automatic	automatic	ADJ
bracis-28384	228	36	methods	method	NOUN
bracis-28384	228	37	to	to	PART
bracis-28384	228	38	extract	extract	VERB
bracis-28384	228	39	new	new	PROPN
bracis-28384	228	40	york	york	PROPN
bracis-28384	228	41	heart	heart	PROPN
bracis-28384	228	42	association	association	PROPN
bracis-28384	228	43	classification	classification	NOUN
bracis-28384	228	44	from	from	ADP
bracis-28384	228	45	clinical	clinical	ADJ
bracis-28384	228	46	notes	note	NOUN
bracis-28384	228	47	.	.	PUNCT
bracis-28384	229	1	in	in	ADP
bracis-28384	229	2	:	:	PUNCT
bracis-28384	229	3	2017	2017	NUM
bracis-28384	229	4	ieee	ieee	NOUN
bracis-28384	229	5	international	international	ADJ
bracis-28384	229	6	conference	conference	NOUN
bracis-28384	229	7	on	on	ADP
bracis-28384	229	8	bioinformatics	bioinformatics	NOUN
bracis-28384	229	9	and	and	CCONJ
bracis-28384	229	10	biomedicine	biomedicine	NOUN
bracis-28384	229	11	(	(	PUNCT
bracis-28384	229	12	bibm	bibm	PROPN
bracis-28384	229	13	)	)	PUNCT
bracis-28384	229	14	,	,	PUNCT
bracis-28384	229	15	kansas	kansas	PROPN
bracis-28384	229	16	city	city	PROPN
bracis-28384	229	17	,	,	PUNCT
bracis-28384	229	18	mo	mo	PROPN
bracis-28384	229	19	,	,	PUNCT
bracis-28384	229	20	usa	usa	PROPN
bracis-28384	229	21	,	,	PUNCT
bracis-28384	229	22	pp	pp	X
bracis-28384	229	23	.	.	PUNCT
bracis-28384	230	1	1296–1299	1296–1299	NUM
bracis-28384	230	2	(	(	PUNCT
bracis-28384	230	3	2017	2017	NUM
bracis-28384	230	4	)	)	PUNCT
bracis-28384	230	5	.	.	PUNCT
bracis-28384	231	1	https://doi.org/10.1109/bibm.2017.8217848	https://doi.org/10.1109/bibm.2017.8217848	PROPN
bracis-28384	231	2	chen	chen	PROPN
bracis-28384	231	3	,	,	PUNCT
bracis-28384	231	4	x.	x.	PROPN
bracis-28384	231	5	,	,	PUNCT
bracis-28384	231	6	xie	xie	PROPN
bracis-28384	231	7	,	,	PUNCT
bracis-28384	231	8	h.	h.	PROPN
bracis-28384	231	9	,	,	PUNCT
bracis-28384	231	10	wang	wang	PROPN
bracis-28384	231	11	,	,	PUNCT
bracis-28384	231	12	f.	f.	PROPN
bracis-28384	231	13	,	,	PUNCT
bracis-28384	231	14	et	et	PROPN
bracis-28384	231	15	al	al	PROPN
bracis-28384	231	16	.	.	PROPN
bracis-28384	231	17	:	:	PUNCT
bracis-28384	232	1	a	a	DET
bracis-28384	232	2	bibliometric	bibliometric	ADJ
bracis-28384	232	3	analysis	analysis	NOUN
bracis-28384	232	4	of	of	ADP
bracis-28384	232	5	natural	natural	ADJ
bracis-28384	232	6	language	language	NOUN
bracis-28384	232	7	processing	processing	NOUN
bracis-28384	232	8	in	in	ADP
bracis-28384	232	9	medical	medical	ADJ
bracis-28384	232	10	research	research	NOUN
bracis-28384	232	11	.	.	PUNCT
bracis-28384	233	1	bmc	bmc	PROPN
bracis-28384	233	2	med	med	PROPN
bracis-28384	233	3	.	.	PUNCT
bracis-28384	234	1	inform	inform	NOUN
bracis-28384	234	2	.	.	PUNCT
bracis-28384	235	1	decis	decis	PROPN
bracis-28384	235	2	.	.	PROPN
bracis-28384	235	3	mak	mak	PROPN
bracis-28384	235	4	.	.	PROPN
bracis-28384	236	1	18(suppl	18(suppl	NUM
bracis-28384	236	2	1	1	NUM
bracis-28384	236	3	)	)	PUNCT
bracis-28384	236	4	,	,	PUNCT
bracis-28384	236	5	14	14	NUM
bracis-28384	236	6	(	(	PUNCT
bracis-28384	236	7	2018	2018	NUM
bracis-28384	236	8	)	)	PUNCT
bracis-28384	236	9	.	.	PUNCT
bracis-28384	237	1	https://doi.org/10.1186/s12911-018-0594-x	https://doi.org/10.1186/s12911-018-0594-x	PROPN
bracis-28384	237	2	article	article	PROPN
bracis-28384	237	3	  	  	SPACE
bracis-28384	237	4	google	google	PROPN
bracis-28384	237	5	scholar	scholar	NOUN
bracis-28384	237	6	  	  	SPACE
bracis-28384	237	7	shickel	shickel	NOUN
bracis-28384	237	8	,	,	PUNCT
bracis-28384	237	9	b.	b.	PROPN
bracis-28384	237	10	,	,	PUNCT
bracis-28384	237	11	et	et	PROPN
bracis-28384	237	12	al	al	PROPN
bracis-28384	237	13	.	.	PROPN
bracis-28384	237	14	:	:	PUNCT
bracis-28384	238	1	deep	deep	ADJ
bracis-28384	238	2	ehr	ehr	NOUN
bracis-28384	238	3	:	:	PUNCT
bracis-28384	238	4	a	a	DET
bracis-28384	238	5	survey	survey	NOUN
bracis-28384	238	6	of	of	ADP
bracis-28384	238	7	recent	recent	ADJ
bracis-28384	238	8	advances	advance	NOUN
bracis-28384	238	9	in	in	ADP
bracis-28384	238	10	deep	deep	ADJ
bracis-28384	238	11	learning	learning	NOUN
bracis-28384	238	12	techniques	technique	NOUN
bracis-28384	238	13	for	for	ADP
bracis-28384	238	14	electronic	electronic	ADJ
bracis-28384	238	15	health	health	NOUN
bracis-28384	238	16	record	record	NOUN
bracis-28384	238	17	(	(	PUNCT
bracis-28384	238	18	ehr	ehr	NOUN
bracis-28384	238	19	)	)	PUNCT
bracis-28384	238	20	analysis	analysis	NOUN
bracis-28384	238	21	.	.	PUNCT
bracis-28384	239	1	ieee	ieee	PROPN
bracis-28384	239	2	j.	j.	PROPN
bracis-28384	239	3	biomed	biome	VERB
bracis-28384	239	4	.	.	PUNCT
bracis-28384	240	1	health	health	NOUN
bracis-28384	240	2	inform	inform	NOUN
bracis-28384	240	3	.	.	PUNCT
bracis-28384	241	1	22(5	22(5	NOUN
bracis-28384	241	2	)	)	PUNCT
bracis-28384	241	3	,	,	PUNCT
bracis-28384	241	4	1589–1604	1589–1604	NUM
bracis-28384	241	5	(	(	PUNCT
bracis-28384	241	6	2017	2017	NUM
bracis-28384	241	7	)	)	PUNCT
bracis-28384	241	8	article	article	NOUN
bracis-28384	241	9	  	  	SPACE
bracis-28384	241	10	google	google	PROPN
bracis-28384	241	11	scholar	scholar	NOUN
bracis-28384	241	12	  	  	SPACE
bracis-28384	241	13	kreimeyer	kreimeyer	PROPN
bracis-28384	241	14	,	,	PUNCT
bracis-28384	241	15	k.	k.	PROPN
bracis-28384	241	16	,	,	PUNCT
bracis-28384	241	17	et	et	PROPN
bracis-28384	241	18	al	al	PROPN
bracis-28384	241	19	.	.	PROPN
bracis-28384	241	20	:	:	PUNCT
bracis-28384	241	21	natural	natural	ADJ
bracis-28384	241	22	language	language	NOUN
bracis-28384	241	23	processing	processing	NOUN
bracis-28384	241	24	systems	system	NOUN
bracis-28384	241	25	for	for	ADP
bracis-28384	241	26	capturing	capture	VERB
bracis-28384	241	27	and	and	CCONJ
bracis-28384	241	28	standardizing	standardize	VERB
bracis-28384	241	29	unstructured	unstructured	ADJ
bracis-28384	241	30	clinical	clinical	ADJ
bracis-28384	241	31	information	information	NOUN
bracis-28384	241	32	:	:	PUNCT
bracis-28384	241	33	a	a	DET
bracis-28384	241	34	systematic	systematic	ADJ
bracis-28384	241	35	review	review	NOUN
bracis-28384	241	36	.	.	PUNCT
bracis-28384	242	1	j.	j.	PROPN
bracis-28384	242	2	biomed	biome	VERB
bracis-28384	242	3	.	.	PUNCT
bracis-28384	243	1	inform	inform	NOUN
bracis-28384	243	2	.	.	PUNCT
bracis-28384	244	1	73	73	NUM
bracis-28384	244	2	,	,	PUNCT
bracis-28384	244	3	14–29	14–29	NUM
bracis-28384	244	4	(	(	PUNCT
bracis-28384	244	5	2017	2017	NUM
bracis-28384	244	6	)	)	PUNCT
bracis-28384	244	7	.	.	PUNCT
bracis-28384	245	1	epub	epub	NOUN
bracis-28384	245	2	2017	2017	NUM
bracis-28384	245	3	jul	jul	PROPN
bracis-28384	245	4	17	17	NUM
bracis-28384	245	5	.	.	PUNCT
bracis-28384	246	1	pmid	pmid	NOUN
bracis-28384	246	2	:	:	PUNCT
bracis-28384	246	3	28729030	28729030	NUM
bracis-28384	246	4	;	;	PUNCT
bracis-28384	246	5	pmcid	pmcid	ADJ
bracis-28384	246	6	:	:	PUNCT
bracis-28384	246	7	pmc6864736	pmc6864736	NOUN
bracis-28384	246	8	.	.	PUNCT
bracis-28384	247	1	https://doi.org/10.1016/j.jbi.2017.07.012	https://doi.org/10.1016/j.jbi.2017.07.012	PROPN
bracis-28384	247	2	hunt	hunt	PROPN
bracis-28384	247	3	,	,	PUNCT
bracis-28384	247	4	d.l	d.l	PROPN
bracis-28384	247	5	.	.	PROPN
bracis-28384	247	6	,	,	PUNCT
bracis-28384	247	7	haynes	haynes	PROPN
bracis-28384	247	8	,	,	PUNCT
bracis-28384	247	9	r.b	r.b	PROPN
bracis-28384	247	10	.	.	PROPN
bracis-28384	247	11	,	,	PUNCT
bracis-28384	247	12	hanna	hanna	PROPN
bracis-28384	247	13	,	,	PUNCT
bracis-28384	247	14	s.e	s.e	PROPN
bracis-28384	247	15	.	.	PROPN
bracis-28384	247	16	,	,	PUNCT
bracis-28384	247	17	smith	smith	PROPN
bracis-28384	247	18	,	,	PUNCT
bracis-28384	247	19	k.	k.	PROPN
bracis-28384	247	20	:	:	PUNCT
bracis-28384	247	21	effects	effect	NOUN
bracis-28384	247	22	of	of	ADP
bracis-28384	247	23	computer	computer	NOUN
bracis-28384	247	24	-	-	PUNCT
bracis-28384	247	25	based	base	VERB
bracis-28384	247	26	clinical	clinical	ADJ
bracis-28384	247	27	decision	decision	NOUN
bracis-28384	247	28	support	support	NOUN
bracis-28384	247	29	systems	system	NOUN
bracis-28384	247	30	on	on	ADP
bracis-28384	247	31	physician	physician	NOUN
bracis-28384	247	32	performance	performance	NOUN
bracis-28384	247	33	and	and	CCONJ
bracis-28384	247	34	patient	patient	ADJ
bracis-28384	247	35	outcomes	outcome	NOUN
bracis-28384	247	36	:	:	PUNCT
bracis-28384	247	37	a	a	DET
bracis-28384	247	38	systematic	systematic	ADJ
bracis-28384	247	39	review	review	NOUN
bracis-28384	247	40	.	.	PUNCT
bracis-28384	248	1	jama	jama	PROPN
bracis-28384	248	2	280(15	280(15	NUM
bracis-28384	248	3	)	)	PUNCT
bracis-28384	248	4	,	,	PUNCT
bracis-28384	248	5	1339–1346	1339–1346	NUM
bracis-28384	248	6	(	(	PUNCT
bracis-28384	248	7	1998	1998	NUM
bracis-28384	248	8	)	)	PUNCT
bracis-28384	248	9	.	.	PUNCT
bracis-28384	249	1	pmid	pmid	NOUN
bracis-28384	249	2	:	:	PUNCT
bracis-28384	249	3	9794315	9794315	NUM
bracis-28384	249	4	.	.	PUNCT
bracis-28384	250	1	https://doi.org/10.1001/jama.280.15.1339	https://doi.org/10.1001/jama.280.15.1339	PROPN
bracis-28384	250	2	bucur	bucur	PROPN
bracis-28384	250	3	,	,	PUNCT
bracis-28384	250	4	a.	a.	PROPN
bracis-28384	250	5	,	,	PUNCT
bracis-28384	250	6	van	van	PROPN
bracis-28384	250	7	leeuwen	leeuwen	PROPN
bracis-28384	250	8	,	,	PUNCT
bracis-28384	250	9	j.	j.	PROPN
bracis-28384	250	10	,	,	PUNCT
bracis-28384	250	11	cirstea	cirstea	PROPN
bracis-28384	250	12	,	,	PUNCT
bracis-28384	250	13	t.c	t.c	PROPN
bracis-28384	250	14	.	.	PROPN
bracis-28384	250	15	,	,	PUNCT
bracis-28384	250	16	graf	graf	PROPN
bracis-28384	250	17	,	,	PUNCT
bracis-28384	250	18	n.	n.	NOUN
bracis-28384	250	19	:	:	PUNCT
bracis-28384	250	20	clinical	clinical	ADJ
bracis-28384	250	21	decision	decision	NOUN
bracis-28384	250	22	support	support	NOUN
bracis-28384	250	23	framework	framework	NOUN
bracis-28384	250	24	for	for	ADP
bracis-28384	250	25	validation	validation	NOUN
bracis-28384	250	26	of	of	ADP
bracis-28384	250	27	multiscale	multiscale	ADJ
bracis-28384	250	28	models	model	NOUN
bracis-28384	250	29	and	and	CCONJ
bracis-28384	250	30	personalization	personalization	NOUN
bracis-28384	250	31	of	of	ADP
bracis-28384	250	32	treatment	treatment	NOUN
bracis-28384	250	33	in	in	ADP
bracis-28384	250	34	oncology	oncology	NOUN
bracis-28384	250	35	.	.	PUNCT
bracis-28384	251	1	in	in	ADP
bracis-28384	251	2	:	:	PUNCT
bracis-28384	251	3	13th	13th	ADJ
bracis-28384	251	4	ieee	ieee	PROPN
bracis-28384	251	5	international	international	ADJ
bracis-28384	251	6	conference	conference	NOUN
bracis-28384	251	7	on	on	ADP
bracis-28384	251	8	bioinformatics	bioinformatics	NOUN
bracis-28384	251	9	and	and	CCONJ
bracis-28384	251	10	bioengineering	bioengineering	NOUN
bracis-28384	251	11	,	,	PUNCT
bracis-28384	251	12	chania	chania	PROPN
bracis-28384	251	13	,	,	PUNCT
bracis-28384	251	14	greece	greece	PROPN
bracis-28384	251	15	,	,	PUNCT
bracis-28384	251	16	pp	pp	ADV
bracis-28384	251	17	.	.	PUNCT
bracis-28384	252	1	1–4	1–4	PROPN
bracis-28384	252	2	(	(	PUNCT
bracis-28384	252	3	2013	2013	NUM
bracis-28384	252	4	)	)	PUNCT
bracis-28384	252	5	.	.	PUNCT
bracis-28384	253	1	https://doi.org/10.1109/bibe.2013.6701695	https://doi.org/10.1109/bibe.2013.6701695	NOUN
bracis-28384	253	2	polpinij	polpinij	NOUN
bracis-28384	253	3	,	,	PUNCT
bracis-28384	253	4	j.	j.	PROPN
bracis-28384	253	5	:	:	PUNCT
bracis-28384	253	6	the	the	DET
bracis-28384	253	7	cancerology	cancerology	NOUN
bracis-28384	253	8	ontology	ontology	NOUN
bracis-28384	253	9	:	:	PUNCT
bracis-28384	253	10	designed	design	VERB
bracis-28384	253	11	to	to	PART
bracis-28384	253	12	support	support	VERB
bracis-28384	253	13	the	the	DET
bracis-28384	253	14	search	search	NOUN
bracis-28384	253	15	of	of	ADP
bracis-28384	253	16	evidence	evidence	NOUN
bracis-28384	253	17	-	-	PUNCT
bracis-28384	253	18	based	base	VERB
bracis-28384	253	19	oncology	oncology	NOUN
bracis-28384	253	20	from	from	ADP
bracis-28384	253	21	biomedical	biomedical	ADJ
bracis-28384	253	22	literatures	literature	NOUN
bracis-28384	253	23	.	.	PUNCT
bracis-28384	254	1	in	in	ADP
bracis-28384	254	2	:	:	PUNCT
bracis-28384	254	3	24th	24th	ADJ
bracis-28384	254	4	international	international	ADJ
bracis-28384	254	5	symposium	symposium	NOUN
bracis-28384	254	6	on	on	ADP
bracis-28384	254	7	computer	computer	NOUN
bracis-28384	254	8	-	-	PUNCT
bracis-28384	254	9	based	base	VERB
bracis-28384	254	10	medical	medical	ADJ
bracis-28384	254	11	systems	system	NOUN
bracis-28384	254	12	(	(	PUNCT
bracis-28384	254	13	cbms	cbms	PROPN
bracis-28384	254	14	)	)	PUNCT
bracis-28384	254	15	.	.	PUNCT
bracis-28384	255	1	bristol	bristol	PROPN
bracis-28384	255	2	,	,	PUNCT
bracis-28384	255	3	uk	uk	PROPN
bracis-28384	255	4	,	,	PUNCT
bracis-28384	255	5	pp	pp	X
bracis-28384	255	6	.	.	PUNCT
bracis-28384	256	1	1–6	1–6	NUM
bracis-28384	256	2	(	(	PUNCT
bracis-28384	256	3	2011	2011	NUM
bracis-28384	256	4	)	)	PUNCT
bracis-28384	256	5	.	.	PUNCT
bracis-28384	257	1	https://doi.org/10.1109/cbms.2011.5999168	https://doi.org/10.1109/cbms.2011.5999168	PROPN
bracis-28384	257	2	wang	wang	PROPN
bracis-28384	257	3	,	,	PUNCT
bracis-28384	257	4	y.	y.	PROPN
bracis-28384	257	5	,	,	PUNCT
bracis-28384	257	6	et	et	PROPN
bracis-28384	257	7	al	al	PROPN
bracis-28384	257	8	.	.	PUNCT
bracis-28384	257	9	:	:	PUNCT
bracis-28384	258	1	clinical	clinical	ADJ
bracis-28384	258	2	information	information	NOUN
bracis-28384	258	3	extraction	extraction	NOUN
bracis-28384	258	4	applications	application	NOUN
bracis-28384	258	5	:	:	PUNCT
bracis-28384	258	6	a	a	DET
bracis-28384	258	7	literature	literature	NOUN
bracis-28384	258	8	review	review	NOUN
bracis-28384	258	9	.	.	PUNCT
bracis-28384	259	1	j.	j.	PROPN
bracis-28384	259	2	biomed	biome	VERB
bracis-28384	259	3	.	.	PUNCT
bracis-28384	260	1	inform	inform	NOUN
bracis-28384	260	2	.	.	PUNCT
bracis-28384	261	1	77	77	NUM
bracis-28384	261	2	,	,	PUNCT
bracis-28384	261	3	34–49	34–49	NUM
bracis-28384	261	4	(	(	PUNCT
bracis-28384	261	5	2018	2018	NUM
bracis-28384	261	6	)	)	PUNCT
bracis-28384	261	7	.	.	PUNCT
bracis-28384	262	1	issn	issn	PROPN
bracis-28384	262	2	1532–0464	1532–0464	NUM
bracis-28384	262	3	.	.	PUNCT
bracis-28384	263	1	https://doi.org/10.1016/j.jbi.2017.11.011	https://doi.org/10.1016/j.jbi.2017.11.011	NOUN
bracis-28384	263	2	interprocess	interprocess	NOUN
bracis-28384	263	3	:	:	PUNCT
bracis-28384	263	4	interprocess	interprocess	NOUN
bracis-28384	263	5	gemed	geme	VERB
bracis-28384	263	6	oncology	oncology	NOUN
bracis-28384	263	7	oncological	oncological	ADJ
bracis-28384	263	8	management	management	NOUN
bracis-28384	263	9	system	system	NOUN
bracis-28384	263	10	(	(	PUNCT
bracis-28384	263	11	2019	2019	NUM
bracis-28384	263	12	)	)	PUNCT
bracis-28384	263	13	.	.	PUNCT
bracis-28384	264	1	www.interprocess.com.br/en/gemed-oncology/	www.interprocess.com.br/en/gemed-oncology/	PROPN
bracis-28384	264	2	naraei	naraei	VERB
bracis-28384	264	3	,	,	PUNCT
bracis-28384	264	4	p.	p.	NOUN
bracis-28384	264	5	,	,	PUNCT
bracis-28384	264	6	abhari	abhari	PROPN
bracis-28384	264	7	,	,	PUNCT
bracis-28384	264	8	a.	a.	NOUN
bracis-28384	264	9	,	,	PUNCT
bracis-28384	264	10	sadeghian	sadeghian	NOUN
bracis-28384	264	11	,	,	PUNCT
bracis-28384	264	12	a.	a.	NOUN
bracis-28384	264	13	:	:	PUNCT
bracis-28384	264	14	application	application	NOUN
bracis-28384	264	15	of	of	ADP
bracis-28384	264	16	multilayer	multilayer	ADJ
bracis-28384	264	17	perceptron	perceptron	PROPN
bracis-28384	264	18	neural	neural	ADJ
bracis-28384	264	19	networks	network	NOUN
bracis-28384	264	20	and	and	CCONJ
bracis-28384	264	21	support	support	VERB
bracis-28384	264	22	vector	vector	NOUN
bracis-28384	264	23	machines	machine	NOUN
bracis-28384	264	24	in	in	ADP
bracis-28384	264	25	classification	classification	NOUN
bracis-28384	264	26	of	of	ADP
bracis-28384	264	27	healthcare	healthcare	PROPN
bracis-28384	264	28	data	datum	NOUN
bracis-28384	264	29	.	.	PUNCT
bracis-28384	265	1	in	in	ADP
bracis-28384	265	2	:	:	PUNCT
bracis-28384	265	3	future	future	ADJ
bracis-28384	265	4	technologies	technology	NOUN
bracis-28384	265	5	conference	conference	NOUN
bracis-28384	265	6	(	(	PUNCT
bracis-28384	265	7	ftc	ftc	PROPN
bracis-28384	265	8	)	)	PUNCT
bracis-28384	265	9	.	.	PUNCT
bracis-28384	266	1	san	san	PROPN
bracis-28384	266	2	francisco	francisco	PROPN
bracis-28384	266	3	,	,	PUNCT
bracis-28384	266	4	ca	ca	PROPN
bracis-28384	266	5	,	,	PUNCT
bracis-28384	266	6	usa	usa	PROPN
bracis-28384	266	7	,	,	PUNCT
bracis-28384	266	8	vol	vol	NOUN
bracis-28384	266	9	.	.	PROPN
bracis-28384	266	10	2016	2016	NUM
bracis-28384	266	11	,	,	PUNCT
bracis-28384	266	12	pp	pp	ADJ
bracis-28384	266	13	.	.	PUNCT
bracis-28384	267	1	848–852	848–852	NUM
bracis-28384	267	2	(	(	PUNCT
bracis-28384	267	3	2016	2016	NUM
bracis-28384	267	4	)	)	PUNCT
bracis-28384	267	5	.	.	PUNCT
bracis-28384	268	1	https://doi.org/10.1109/ftc.2016.7821702	https://doi.org/10.1109/ftc.2016.7821702	NOUN
bracis-28384	268	2	lemon	lemon	PROPN
bracis-28384	268	3	,	,	PUNCT
bracis-28384	268	4	s.c	s.c	PROPN
bracis-28384	268	5	.	.	PROPN
bracis-28384	268	6	,	,	PUNCT
bracis-28384	268	7	roy	roy	PROPN
bracis-28384	268	8	,	,	PUNCT
bracis-28384	268	9	j.	j.	PROPN
bracis-28384	268	10	,	,	PUNCT
bracis-28384	268	11	clark	clark	PROPN
bracis-28384	268	12	,	,	PUNCT
bracis-28384	268	13	m.a	m.a	PROPN
bracis-28384	268	14	.	.	PROPN
bracis-28384	268	15	,	,	PUNCT
bracis-28384	268	16	friedmann	friedmann	PROPN
bracis-28384	268	17	,	,	PUNCT
bracis-28384	268	18	p.d	p.d	PROPN
bracis-28384	268	19	.	.	PROPN
bracis-28384	268	20	,	,	PUNCT
bracis-28384	268	21	rakowski	rakowski	PROPN
bracis-28384	268	22	,	,	PUNCT
bracis-28384	268	23	w.	w.	NOUN
bracis-28384	268	24	:	:	PUNCT
bracis-28384	268	25	classification	classification	NOUN
bracis-28384	268	26	and	and	CCONJ
bracis-28384	268	27	regression	regression	VERB
bracis-28384	268	28	tree	tree	NOUN
bracis-28384	268	29	analysis	analysis	NOUN
bracis-28384	268	30	in	in	ADP
bracis-28384	268	31	public	public	ADJ
bracis-28384	268	32	health	health	NOUN
bracis-28384	268	33	:	:	PUNCT
bracis-28384	268	34	methodological	methodological	ADJ
bracis-28384	268	35	review	review	NOUN
bracis-28384	268	36	and	and	CCONJ
bracis-28384	268	37	comparison	comparison	NOUN
bracis-28384	268	38	with	with	ADP
bracis-28384	268	39	logistic	logistic	ADJ
bracis-28384	268	40	regression	regression	NOUN
bracis-28384	268	41	.	.	PUNCT
bracis-28384	269	1	ann	ann	PROPN
bracis-28384	269	2	.	.	PUNCT
bracis-28384	269	3	behav	behav	PROPN
bracis-28384	269	4	.	.	PUNCT
bracis-28384	270	1	med	med	PROPN
bracis-28384	270	2	.	.	PUNCT
bracis-28384	270	3	26(3	26(3	NUM
bracis-28384	270	4	)	)	PUNCT
bracis-28384	270	5	,	,	PUNCT
bracis-28384	270	6	172–181	172–181	NUM
bracis-28384	270	7	(	(	PUNCT
bracis-28384	270	8	2003	2003	NUM
bracis-28384	270	9	)	)	PUNCT
bracis-28384	270	10	.	.	PUNCT
bracis-28384	271	1	pmid	pmid	NOUN
bracis-28384	271	2	:	:	PUNCT
bracis-28384	271	3	14644693	14644693	NUM
bracis-28384	271	4	.	.	PUNCT
bracis-28384	272	1	https://doi.org/10.1207/s15324796abm2603_02	https://doi.org/10.1207/s15324796abm2603_02	PROPN
bracis-28384	272	2	lavanya	lavanya	PROPN
bracis-28384	272	3	,	,	PUNCT
bracis-28384	272	4	d.	d.	PROPN
bracis-28384	272	5	,	,	PUNCT
bracis-28384	272	6	rani	rani	PROPN
bracis-28384	272	7	,	,	PUNCT
bracis-28384	272	8	k.u	k.u	PROPN
bracis-28384	272	9	.	.	PROPN
bracis-28384	272	10	:	:	PUNCT
bracis-28384	272	11	ensemble	ensemble	ADJ
bracis-28384	272	12	decision	decision	NOUN
bracis-28384	272	13	tree	tree	NOUN
bracis-28384	272	14	classifier	classifier	NOUN
bracis-28384	272	15	for	for	ADP
bracis-28384	272	16	breast	breast	NOUN
bracis-28384	272	17	cancer	cancer	NOUN
bracis-28384	272	18	data	datum	NOUN
bracis-28384	272	19	.	.	PUNCT
bracis-28384	273	1	int	int	NOUN
bracis-28384	273	2	.	.	PUNCT
bracis-28384	274	1	j.	j.	PROPN
bracis-28384	274	2	inf	inf	PROPN
bracis-28384	274	3	.	.	PUNCT
bracis-28384	274	4	technol	technol	PROPN
bracis-28384	274	5	.	.	PUNCT
bracis-28384	274	6	convergence	convergence	PROPN
bracis-28384	274	7	serv	serv	PROPN
bracis-28384	274	8	.	.	PROPN
bracis-28384	274	9	,	,	PUNCT
bracis-28384	274	10	2(1	2(1	NUM
bracis-28384	274	11	)	)	PUNCT
bracis-28384	274	12	,	,	PUNCT
bracis-28384	274	13	17	17	NUM
bracis-28384	274	14	(	(	PUNCT
bracis-28384	274	15	2012	2012	NUM
bracis-28384	274	16	)	)	PUNCT
bracis-28384	274	17	google	google	PROPN
bracis-28384	274	18	scholar	scholar	NOUN
bracis-28384	274	19	  	  	SPACE
bracis-28384	274	20	dubrava	dubrava	PROPN
bracis-28384	274	21	,	,	PUNCT
bracis-28384	274	22	s.	s.	PROPN
bracis-28384	274	23	,	,	PUNCT
bracis-28384	274	24	et	et	PROPN
bracis-28384	274	25	al	al	PROPN
bracis-28384	274	26	.	.	PROPN
bracis-28384	274	27	:	:	PUNCT
bracis-28384	274	28	using	use	VERB
bracis-28384	274	29	random	random	ADJ
bracis-28384	274	30	forest	forest	NOUN
bracis-28384	274	31	models	model	NOUN
bracis-28384	274	32	to	to	PART
bracis-28384	274	33	identify	identify	VERB
bracis-28384	274	34	correlates	correlate	NOUN
bracis-28384	274	35	of	of	ADP
bracis-28384	274	36	a	a	DET
bracis-28384	274	37	diabetic	diabetic	ADJ
bracis-28384	274	38	peripheral	peripheral	ADJ
bracis-28384	274	39	neuropathy	neuropathy	ADJ
bracis-28384	274	40	diagnosis	diagnosis	NOUN
bracis-28384	274	41	from	from	ADP
bracis-28384	274	42	electronic	electronic	ADJ
bracis-28384	274	43	health	health	NOUN
bracis-28384	274	44	record	record	NOUN
bracis-28384	274	45	data	datum	NOUN
bracis-28384	274	46	.	.	PUNCT
bracis-28384	275	1	pain	pain	NOUN
bracis-28384	275	2	med	med	PROPN
bracis-28384	275	3	.	.	PUNCT
bracis-28384	276	1	18(1	18(1	NUM
bracis-28384	276	2	)	)	PUNCT
bracis-28384	276	3	,	,	PUNCT
bracis-28384	276	4	107–115	107–115	NUM
bracis-28384	276	5	(	(	PUNCT
bracis-28384	276	6	2017	2017	NUM
bracis-28384	276	7	)	)	PUNCT
bracis-28384	276	8	.	.	PUNCT
bracis-28384	277	1	pmid	pmid	NOUN
bracis-28384	277	2	:	:	PUNCT
bracis-28384	277	3	27252307	27252307	NUM
bracis-28384	277	4	.	.	PUNCT
bracis-28384	278	1	https://doi.org/10.1093/pm/pnw096	https://doi.org/10.1093/pm/pnw096	PROPN
bracis-28384	278	2	tayeb	tayeb	PROPN
bracis-28384	278	3	,	,	PUNCT
bracis-28384	278	4	s.	s.	PROPN
bracis-28384	278	5	,	,	PUNCT
bracis-28384	278	6	et	et	PROPN
bracis-28384	278	7	al	al	PROPN
bracis-28384	278	8	.	.	PUNCT
bracis-28384	278	9	:	:	PUNCT
bracis-28384	279	1	toward	toward	ADP
bracis-28384	279	2	predicting	predict	VERB
bracis-28384	279	3	medical	medical	ADJ
bracis-28384	279	4	conditions	condition	NOUN
bracis-28384	279	5	using	use	VERB
bracis-28384	279	6	k	k	ADJ
bracis-28384	279	7	-	-	PUNCT
bracis-28384	279	8	nearest	near	ADJ
bracis-28384	279	9	neighbors	neighbor	NOUN
bracis-28384	279	10	.	.	PUNCT
bracis-28384	280	1	in	in	ADP
bracis-28384	280	2	:	:	PUNCT
bracis-28384	280	3	2017	2017	NUM
bracis-28384	280	4	ieee	ieee	NOUN
bracis-28384	280	5	international	international	ADJ
bracis-28384	280	6	conference	conference	NOUN
bracis-28384	280	7	on	on	ADP
bracis-28384	280	8	big	big	ADJ
bracis-28384	280	9	data	datum	NOUN
bracis-28384	280	10	(	(	PUNCT
bracis-28384	280	11	big	big	ADJ
bracis-28384	280	12	data	datum	NOUN
bracis-28384	280	13	)	)	PUNCT
bracis-28384	280	14	,	,	PUNCT
bracis-28384	280	15	boston	boston	PROPN
bracis-28384	280	16	,	,	PUNCT
bracis-28384	280	17	ma	ma	PROPN
bracis-28384	280	18	,	,	PUNCT
bracis-28384	280	19	usa	usa	PROPN
bracis-28384	280	20	,	,	PUNCT
bracis-28384	280	21	pp	pp	X
bracis-28384	280	22	.	.	PUNCT
bracis-28384	281	1	3897–3903	3897–3903	NUM
bracis-28384	281	2	(	(	PUNCT
bracis-28384	281	3	2017	2017	NUM
bracis-28384	281	4	)	)	PUNCT
bracis-28384	281	5	.	.	PUNCT
bracis-28384	282	1	https://doi.org/10.1109/bigdata.2017.8258395	https://doi.org/10.1109/bigdata.2017.8258395	PROPN
bracis-28384	282	2	ul	ul	PROPN
bracis-28384	282	3	haq	haq	PROPN
bracis-28384	282	4	,	,	PUNCT
bracis-28384	282	5	a.	a.	PROPN
bracis-28384	282	6	,	,	PUNCT
bracis-28384	282	7	li	li	PROPN
bracis-28384	282	8	,	,	PUNCT
bracis-28384	282	9	j.p	j.p	PROPN
bracis-28384	282	10	.	.	PROPN
bracis-28384	282	11	,	,	PUNCT
bracis-28384	282	12	memon	memon	PROPN
bracis-28384	282	13	,	,	PUNCT
bracis-28384	282	14	m.h	m.h	PROPN
bracis-28384	282	15	.	.	PROPN
bracis-28384	282	16	,	,	PUNCT
bracis-28384	282	17	nazir	nazir	PROPN
bracis-28384	282	18	,	,	PUNCT
bracis-28384	282	19	s.	s.	PROPN
bracis-28384	282	20	,	,	PUNCT
bracis-28384	282	21	sun	sun	PROPN
bracis-28384	282	22	,	,	PUNCT
bracis-28384	282	23	r.	r.	PROPN
bracis-28384	282	24	:	:	PUNCT
bracis-28384	282	25	a	a	DET
bracis-28384	282	26	hybrid	hybrid	ADJ
bracis-28384	282	27	intelligent	intelligent	ADJ
bracis-28384	282	28	system	system	NOUN
bracis-28384	282	29	framework	framework	NOUN
bracis-28384	282	30	for	for	ADP
bracis-28384	282	31	the	the	DET
bracis-28384	282	32	prediction	prediction	NOUN
bracis-28384	282	33	of	of	ADP
bracis-28384	282	34	heart	heart	NOUN
bracis-28384	282	35	disease	disease	NOUN
bracis-28384	282	36	using	use	VERB
bracis-28384	282	37	machine	machine	NOUN
bracis-28384	282	38	learning	learning	NOUN
bracis-28384	282	39	algorithms	algorithm	NOUN
bracis-28384	282	40	.	.	PUNCT
bracis-28384	283	1	hindawi	hindawi	PROPN
bracis-28384	283	2	mobile	mobile	PROPN
bracis-28384	283	3	inf	inf	PROPN
bracis-28384	283	4	.	.	PUNCT
bracis-28384	284	1	syst	syst	PROPN
bracis-28384	284	2	.	.	PUNCT
bracis-28384	285	1	(	(	PUNCT
bracis-28384	285	2	2018	2018	NUM
bracis-28384	285	3	)	)	PUNCT
bracis-28384	285	4	.	.	PUNCT
bracis-28384	286	1	https://doi.org/10.1155/2018/3860146	https://doi.org/10.1155/2018/3860146	PROPN
bracis-28384	286	2	haq	haq	PROPN
bracis-28384	286	3	,	,	PUNCT
bracis-28384	286	4	a.u	a.u	PROPN
bracis-28384	286	5	.	.	PROPN
bracis-28384	286	6	,	,	PUNCT
bracis-28384	286	7	et	et	PROPN
bracis-28384	286	8	al	al	PROPN
bracis-28384	286	9	.	.	PUNCT
bracis-28384	286	10	:	:	PUNCT
bracis-28384	286	11	intelligent	intelligent	ADJ
bracis-28384	286	12	machine	machine	NOUN
bracis-28384	286	13	learning	learn	VERB
bracis-28384	286	14	approach	approach	NOUN
bracis-28384	286	15	for	for	ADP
bracis-28384	286	16	effective	effective	ADJ
bracis-28384	286	17	recognition	recognition	NOUN
bracis-28384	286	18	of	of	ADP
bracis-28384	286	19	diabetes	diabetes	NOUN
bracis-28384	286	20	in	in	ADP
bracis-28384	286	21	e	e	NOUN
bracis-28384	286	22	-	-	NOUN
bracis-28384	286	23	healthcare	healthcare	NOUN
bracis-28384	286	24	using	use	VERB
bracis-28384	286	25	clinical	clinical	ADJ
bracis-28384	286	26	data	datum	NOUN
bracis-28384	286	27	.	.	PUNCT
bracis-28384	287	1	sensors	sensor	NOUN
bracis-28384	287	2	20	20	NUM
bracis-28384	287	3	,	,	PUNCT
bracis-28384	287	4	2649	2649	NUM
bracis-28384	287	5	(	(	PUNCT
bracis-28384	287	6	2020	2020	NUM
bracis-28384	287	7	)	)	PUNCT
bracis-28384	287	8	.	.	PUNCT
bracis-28384	288	1	https://doi.org/10.3390/s20092649	https://doi.org/10.3390/s20092649	NUM
bracis-28384	288	2	tai	tai	PROPN
bracis-28384	288	3	,	,	PUNCT
bracis-28384	288	4	k.s	k.s	PROPN
bracis-28384	288	5	.	.	PROPN
bracis-28384	288	6	,	,	PUNCT
bracis-28384	288	7	socher	socher	PROPN
bracis-28384	288	8	,	,	PUNCT
bracis-28384	288	9	r.	r.	PROPN
bracis-28384	288	10	,	,	PUNCT
bracis-28384	288	11	manning	manning	NOUN
bracis-28384	288	12	,	,	PUNCT
bracis-28384	288	13	c.d	c.d	PROPN
bracis-28384	288	14	.	.	PUNCT
bracis-28384	288	15	:	:	PUNCT
bracis-28384	288	16	language	language	NOUN
bracis-28384	288	17	processing	processing	NOUN
bracis-28384	288	18	,	,	PUNCT
bracis-28384	288	19	improved	improve	VERB
bracis-28384	288	20	semantic	semantic	ADJ
bracis-28384	288	21	representations	representation	NOUN
bracis-28384	288	22	from	from	ADP
bracis-28384	288	23	tree	tree	NOUN
bracis-28384	288	24	structured	structure	VERB
bracis-28384	288	25	long	long	ADJ
bracis-28384	288	26	short	short	ADJ
bracis-28384	288	27	-	-	PUNCT
bracis-28384	288	28	term	term	NOUN
bracis-28384	288	29	memory	memory	NOUN
bracis-28384	288	30	networks	network	NOUN
bracis-28384	288	31	.	.	PUNCT
bracis-28384	289	1	in	in	ADP
bracis-28384	289	2	:	:	PUNCT
bracis-28384	289	3	proceedings	proceeding	NOUN
bracis-28384	289	4	of	of	ADP
bracis-28384	289	5	the	the	DET
bracis-28384	289	6	53rd	53rd	ADJ
bracis-28384	289	7	annual	annual	ADJ
bracis-28384	289	8	meeting	meeting	NOUN
bracis-28384	289	9	of	of	ADP
bracis-28384	289	10	the	the	DET
bracis-28384	289	11	association	association	NOUN
bracis-28384	289	12	for	for	ADP
bracis-28384	289	13	computational	computational	ADJ
bracis-28384	289	14	linguistics	linguistic	NOUN
bracis-28384	289	15	and	and	CCONJ
bracis-28384	289	16	the	the	DET
bracis-28384	289	17	7th	7th	ADJ
bracis-28384	289	18	international	international	ADJ
bracis-28384	289	19	joint	joint	ADJ
bracis-28384	289	20	conference	conference	NOUN
bracis-28384	289	21	on	on	ADP
bracis-28384	289	22	natural	natural	ADJ
bracis-28384	289	23	language	language	NOUN
bracis-28384	289	24	processing	processing	NOUN
bracis-28384	289	25	of	of	ADP
bracis-28384	289	26	the	the	DET
bracis-28384	289	27	asian	asian	PROPN
bracis-28384	289	28	federation	federation	PROPN
bracis-28384	289	29	of	of	ADP
bracis-28384	289	30	natural	natural	ADJ
bracis-28384	289	31	,	,	PUNCT
bracis-28384	289	32	pp	pp	ADJ
bracis-28384	289	33	.	.	PUNCT
bracis-28384	290	1	1556–1566	1556–1566	NUM
bracis-28384	290	2	(	(	PUNCT
bracis-28384	290	3	2015	2015	NUM
bracis-28384	290	4	)	)	PUNCT
bracis-28384	290	5	google	google	PROPN
bracis-28384	290	6	scholar	scholar	NOUN
bracis-28384	290	7	  	  	SPACE
bracis-28384	290	8	download	download	NOUN
bracis-28384	290	9	references	reference	NOUN
bracis-28384	290	10	author	author	NOUN
bracis-28384	290	11	information	information	NOUN
bracis-28384	290	12	authors	author	NOUN
bracis-28384	290	13	and	and	CCONJ
bracis-28384	290	14	affiliations	affiliation	NOUN
bracis-28384	290	15	universidade	universidade	X
bracis-28384	290	16	do	do	VERB
bracis-28384	290	17	vale	vale	PROPN
bracis-28384	290	18	do	do	AUX
bracis-28384	290	19	rio	rio	PROPN
bracis-28384	290	20	dos	dos	PROPN
bracis-28384	290	21	sinos	sinos	PROPN
bracis-28384	290	22	,	,	PUNCT
bracis-28384	290	23	rio	rio	NOUN
bracis-28384	290	24	grande	grande	PROPN
bracis-28384	290	25	do	do	AUX
bracis-28384	290	26	sul	sul	PROPN
bracis-28384	290	27	,	,	PUNCT
bracis-28384	290	28	brazil	brazil	PROPN
bracis-28384	290	29	diego	diego	PROPN
bracis-28384	290	30	pinheiro	pinheiro	PROPN
bracis-28384	290	31	da	da	PROPN
bracis-28384	290	32	silva	silva	PROPN
bracis-28384	290	33	,	,	PUNCT
bracis-28384	290	34	 	 	SPACE
bracis-28384	290	35	marco	marco	PROPN
bracis-28384	290	36	antonio	antonio	PROPN
bracis-28384	290	37	schwertner	schwertner	PROPN
bracis-28384	290	38	 	 	SPACE
bracis-28384	290	39	&	&	CCONJ
bracis-28384	290	40	 	 	SPACE
bracis-28384	290	41	sandro	sandro	PROPN
bracis-28384	290	42	josé	josé	PROPN
bracis-28384	290	43	rigo	rigo	PROPN
bracis-28384	290	44	pontifícia	pontifícia	PROPN
bracis-28384	290	45	universidade	universidade	PROPN
bracis-28384	290	46	católica	católica	PROPN
bracis-28384	290	47	do	do	AUX
bracis-28384	290	48	rio	rio	PROPN
bracis-28384	290	49	grande	grande	PROPN
bracis-28384	290	50	do	do	AUX
bracis-28384	290	51	sul	sul	PROPN
bracis-28384	290	52	,	,	PUNCT
bracis-28384	290	53	rio	rio	NOUN
bracis-28384	290	54	grande	grande	PROPN
bracis-28384	290	55	do	do	AUX
bracis-28384	290	56	sul	sul	PROPN
bracis-28384	290	57	,	,	PUNCT
bracis-28384	290	58	brazil	brazil	PROPN
bracis-28384	290	59	william	william	PROPN
bracis-28384	290	60	da	da	PROPN
bracis-28384	290	61	rosa	rosa	PROPN
bracis-28384	290	62	fröhlich	fröhlich	PROPN
bracis-28384	290	63	authors	authors	PROPN
bracis-28384	290	64	diego	diego	PROPN
bracis-28384	290	65	pinheiro	pinheiro	PROPN
bracis-28384	290	66	da	da	PROPN
bracis-28384	290	67	silvaview	silvaview	PROPN
bracis-28384	290	68	author	author	NOUN
bracis-28384	290	69	publications	publication	NOUN
bracis-28384	290	70	search	search	NOUN
bracis-28384	290	71	author	author	NOUN
bracis-28384	290	72	on	on	ADP
bracis-28384	290	73	:	:	PUNCT
bracis-28384	290	74	pubmed	pubmed	PROPN
bracis-28384	290	75	 	 	SPACE
bracis-28384	290	76	google	google	PROPN
bracis-28384	290	77	scholar	scholar	PROPN
bracis-28384	290	78	william	william	PROPN
bracis-28384	290	79	da	da	PROPN
bracis-28384	290	80	rosa	rosa	PROPN
bracis-28384	290	81	fröhlichview	fröhlichview	PROPN
bracis-28384	290	82	author	author	NOUN
bracis-28384	290	83	publications	publication	NOUN
bracis-28384	290	84	search	search	NOUN
bracis-28384	290	85	author	author	NOUN
bracis-28384	290	86	on	on	ADP
bracis-28384	290	87	:	:	PUNCT
bracis-28384	290	88	pubmed	pubmed	PROPN
bracis-28384	290	89	 	 	SPACE
bracis-28384	290	90	google	google	PROPN
bracis-28384	290	91	scholar	scholar	PROPN
bracis-28384	290	92	marco	marco	PROPN
bracis-28384	290	93	antonio	antonio	PROPN
bracis-28384	290	94	schwertnerview	schwertnerview	PROPN
bracis-28384	290	95	author	author	NOUN
bracis-28384	290	96	publications	publication	NOUN
bracis-28384	290	97	search	search	NOUN
bracis-28384	290	98	author	author	NOUN
bracis-28384	290	99	on	on	ADP
bracis-28384	290	100	:	:	PUNCT
bracis-28384	290	101	pubmed	pubmed	PROPN
bracis-28384	290	102	 	 	SPACE
bracis-28384	290	103	google	google	PROPN
bracis-28384	290	104	scholar	scholar	PROPN
bracis-28384	290	105	sandro	sandro	PROPN
bracis-28384	290	106	josé	josé	PROPN
bracis-28384	290	107	rigoview	rigoview	PROPN
bracis-28384	290	108	author	author	NOUN
bracis-28384	290	109	publications	publication	NOUN
bracis-28384	290	110	search	search	NOUN
bracis-28384	290	111	author	author	NOUN
bracis-28384	290	112	on	on	ADP
bracis-28384	290	113	:	:	PUNCT
bracis-28384	290	114	pubmed	pubmed	PROPN
bracis-28384	290	115	 	 	SPACE
bracis-28384	290	116	google	google	PROPN
bracis-28384	290	117	scholar	scholar	NOUN
bracis-28384	290	118	corresponding	correspond	VERB
bracis-28384	290	119	author	author	NOUN
bracis-28384	290	120	correspondence	correspondence	NOUN
bracis-28384	290	121	to	to	ADP
bracis-28384	290	122	diego	diego	PROPN
bracis-28384	290	123	pinheiro	pinheiro	PROPN
bracis-28384	290	124	da	da	PROPN
bracis-28384	290	125	silva	silva	PROPN
bracis-28384	290	126	.	.	PUNCT
bracis-28384	291	1	editor	editor	NOUN
bracis-28384	291	2	information	information	NOUN
bracis-28384	291	3	editors	editor	NOUN
bracis-28384	291	4	and	and	CCONJ
bracis-28384	291	5	affiliations	affiliation	NOUN
bracis-28384	291	6	federal	federal	PROPN
bracis-28384	291	7	university	university	PROPN
bracis-28384	291	8	of	of	ADP
bracis-28384	291	9	são	são	PROPN
bracis-28384	291	10	carlos	carlos	PROPN
bracis-28384	291	11	,	,	PUNCT
bracis-28384	291	12	são	são	PROPN
bracis-28384	291	13	carlos	carlos	PROPN
bracis-28384	291	14	,	,	PUNCT
bracis-28384	291	15	brazil	brazil	PROPN
bracis-28384	291	16	murilo	murilo	PROPN
bracis-28384	291	17	c.	c.	PROPN
bracis-28384	291	18	naldi	naldi	PROPN
bracis-28384	291	19	centro	centro	PROPN
bracis-28384	291	20	universitario	universitario	PROPN
bracis-28384	291	21	da	da	PROPN
bracis-28384	291	22	fei	fei	PROPN
bracis-28384	291	23	,	,	PUNCT
bracis-28384	291	24	são	são	PROPN
bracis-28384	291	25	bernardo	bernardo	PROPN
bracis-28384	291	26	do	do	AUX
bracis-28384	291	27	campo	campo	PROPN
bracis-28384	291	28	,	,	PUNCT
bracis-28384	291	29	brazil	brazil	PROPN
bracis-28384	291	30	reinaldo	reinaldo	PROPN
bracis-28384	291	31	a.	a.	PROPN
bracis-28384	291	32	c.	c.	PROPN
bracis-28384	291	33	bianchi	bianchi	PROPN
bracis-28384	291	34	rights	right	NOUN
bracis-28384	291	35	and	and	CCONJ
bracis-28384	291	36	permissions	permission	NOUN
bracis-28384	291	37	reprints	reprint	NOUN
bracis-28384	291	38	and	and	CCONJ
bracis-28384	291	39	permissions	permission	VERB
bracis-28384	291	40	copyright	copyright	NOUN
bracis-28384	291	41	information	information	NOUN
bracis-28384	291	42	©	©	ADP
bracis-28384	291	43	2023	2023	NUM
bracis-28384	291	44	the	the	DET
bracis-28384	291	45	author(s	author(s	NOUN
bracis-28384	291	46	)	)	PUNCT
bracis-28384	291	47	,	,	PUNCT
bracis-28384	291	48	under	under	ADP
bracis-28384	291	49	exclusive	exclusive	ADJ
bracis-28384	291	50	license	license	NOUN
bracis-28384	291	51	to	to	ADP
bracis-28384	291	52	springer	springer	NOUN
bracis-28384	291	53	nature	nature	PROPN
bracis-28384	291	54	switzerland	switzerland	PROPN
bracis-28384	291	55	ag	ag	PROPN
bracis-28384	291	56	about	about	ADP
bracis-28384	291	57	this	this	DET
bracis-28384	291	58	paper	paper	NOUN
bracis-28384	291	59	cite	cite	VERB
bracis-28384	291	60	this	this	DET
bracis-28384	291	61	paper	paper	NOUN
bracis-28384	291	62	da	da	PROPN
bracis-28384	291	63	silva	silva	PROPN
bracis-28384	291	64	,	,	PUNCT
bracis-28384	291	65	d.p	d.p	PROPN
bracis-28384	291	66	.	.	PROPN
bracis-28384	291	67	,	,	PUNCT
bracis-28384	291	68	fröhlich	fröhlich	PROPN
bracis-28384	291	69	,	,	PUNCT
bracis-28384	291	70	w.d.r	w.d.r	PROPN
bracis-28384	291	71	.	.	PROPN
bracis-28384	291	72	,	,	PUNCT
bracis-28384	291	73	schwertner	schwertner	PROPN
bracis-28384	291	74	,	,	PUNCT
bracis-28384	291	75	m.a	m.a	PROPN
bracis-28384	291	76	.	.	PROPN
bracis-28384	291	77	,	,	PUNCT
bracis-28384	291	78	rigo	rigo	PROPN
bracis-28384	291	79	,	,	PUNCT
bracis-28384	291	80	s.j	s.j	PROPN
bracis-28384	291	81	.	.	PROPN
bracis-28384	291	82	(	(	PUNCT
bracis-28384	291	83	2023	2023	NUM
bracis-28384	291	84	)	)	PUNCT
bracis-28384	291	85	.	.	PUNCT
bracis-28384	292	1	clinical	clinical	ADJ
bracis-28384	292	2	oncology	oncology	NOUN
bracis-28384	292	3	textual	textual	ADJ
bracis-28384	292	4	notes	note	NOUN
bracis-28384	292	5	analysis	analysis	NOUN
bracis-28384	292	6	using	use	VERB
bracis-28384	292	7	machine	machine	NOUN
bracis-28384	292	8	learning	learning	NOUN
bracis-28384	292	9	and	and	CCONJ
bracis-28384	292	10	 	 	SPACE
bracis-28384	292	11	deep	deep	ADJ
bracis-28384	292	12	learning	learning	NOUN
bracis-28384	292	13	.	.	PUNCT
bracis-28384	293	1	in	in	ADP
bracis-28384	293	2	:	:	PUNCT
bracis-28384	293	3	naldi	naldi	PROPN
bracis-28384	293	4	,	,	PUNCT
bracis-28384	293	5	m.c	m.c	PROPN
bracis-28384	293	6	.	.	PROPN
bracis-28384	293	7	,	,	PUNCT
bracis-28384	293	8	bianchi	bianchi	PROPN
bracis-28384	293	9	,	,	PUNCT
bracis-28384	293	10	r.a.c	r.a.c	ADP
bracis-28384	293	11	.	.	PUNCT
bracis-28384	293	12	(	(	PUNCT
bracis-28384	293	13	eds	ed	NOUN
bracis-28384	293	14	)	)	PUNCT
bracis-28384	293	15	intelligent	intelligent	ADJ
bracis-28384	293	16	systems	system	NOUN
bracis-28384	293	17	.	.	PUNCT
bracis-28384	294	1	bracis	bracis	PROPN
bracis-28384	294	2	2023	2023	NUM
bracis-28384	294	3	.	.	PUNCT
bracis-28384	295	1	lecture	lecture	NOUN
bracis-28384	295	2	notes	note	NOUN
bracis-28384	295	3	in	in	ADP
bracis-28384	295	4	computer	computer	NOUN
bracis-28384	295	5	science	science	NOUN
bracis-28384	295	6	(	(	PUNCT
bracis-28384	295	7	)	)	PUNCT
bracis-28384	295	8	,	,	PUNCT
bracis-28384	295	9	vol	vol	NOUN
bracis-28384	295	10	14196	14196	NUM
bracis-28384	295	11	.	.	PUNCT
bracis-28384	296	1	springer	springer	NOUN
bracis-28384	296	2	,	,	PUNCT
bracis-28384	296	3	cham	cham	PROPN
bracis-28384	296	4	.	.	PUNCT
bracis-28384	297	1	https://doi.org/10.1007/978-3-031-45389-2_10	https://doi.org/10.1007/978-3-031-45389-2_10	NOUN
bracis-28384	297	2	download	download	NOUN
bracis-28384	297	3	citation	citation	NOUN
bracis-28384	297	4	.ris	.ris	PUNCT
bracis-28384	297	5	.enw	.enw	PROPN
bracis-28384	297	6	.bib	.bib	PUNCT
bracis-28384	298	1	doi	doi	PROPN
bracis-28384	298	2	:	:	PUNCT
bracis-28384	298	3	https://doi.org/10.1007/978-3-031-45389-2_10	https://doi.org/10.1007/978-3-031-45389-2_10	NUM
bracis-28384	298	4	published	publish	VERB
bracis-28384	298	5	:	:	PUNCT
bracis-28384	298	6	12	12	NUM
bracis-28384	298	7	october	october	PROPN
bracis-28384	298	8	2023	2023	NUM
bracis-28384	298	9	publisher	publisher	NOUN
bracis-28384	298	10	name	name	NOUN
bracis-28384	298	11	:	:	PUNCT
bracis-28384	298	12	springer	springer	NOUN
bracis-28384	298	13	,	,	PUNCT
bracis-28384	298	14	cham	cham	PROPN
bracis-28384	298	15	print	print	PROPN
bracis-28384	298	16	isbn	isbn	PROPN
bracis-28384	298	17	:	:	PUNCT
bracis-28384	298	18	978	978	NUM
bracis-28384	298	19	-	-	SYM
bracis-28384	298	20	3	3	NUM
bracis-28384	298	21	-	-	PUNCT
bracis-28384	298	22	031	031	NUM
bracis-28384	298	23	-	-	PUNCT
bracis-28384	298	24	45388	45388	NUM
bracis-28384	298	25	-	-	SYM
bracis-28384	298	26	5	5	NUM
bracis-28384	298	27	online	online	ADJ
bracis-28384	298	28	isbn	isbn	NOUN
bracis-28384	298	29	:	:	PUNCT
bracis-28384	298	30	978	978	NUM
bracis-28384	298	31	-	-	SYM
bracis-28384	298	32	3	3	NUM
bracis-28384	298	33	-	-	PUNCT
bracis-28384	298	34	031	031	NUM
bracis-28384	298	35	-	-	PUNCT
bracis-28384	298	36	45389	45389	NUM
bracis-28384	298	37	-	-	SYM
bracis-28384	298	38	2	2	NUM
bracis-28384	298	39	ebook	ebook	NOUN
bracis-28384	298	40	packages	package	NOUN
bracis-28384	298	41	:	:	PUNCT
bracis-28384	298	42	computer	computer	NOUN
bracis-28384	298	43	sciencecomputer	sciencecomputer	NOUN
bracis-28384	298	44	science	science	NOUN
bracis-28384	298	45	(	(	PUNCT
bracis-28384	298	46	r0	r0	NOUN
bracis-28384	298	47	)	)	PUNCT
bracis-28384	298	48	share	share	VERB
bracis-28384	298	49	this	this	DET
bracis-28384	298	50	paper	paper	NOUN
bracis-28384	298	51	anyone	anyone	PRON
bracis-28384	298	52	you	you	PRON
bracis-28384	298	53	share	share	VERB
bracis-28384	298	54	the	the	DET
bracis-28384	298	55	following	follow	VERB
bracis-28384	298	56	link	link	NOUN
bracis-28384	298	57	with	with	ADP
bracis-28384	298	58	will	will	AUX
bracis-28384	298	59	be	be	AUX
bracis-28384	298	60	able	able	ADJ
bracis-28384	298	61	to	to	PART
bracis-28384	298	62	read	read	VERB
bracis-28384	298	63	this	this	DET
bracis-28384	298	64	content	content	NOUN
bracis-28384	298	65	:	:	PUNCT
bracis-28384	298	66	get	get	VERB
bracis-28384	298	67	shareable	shareable	ADJ
bracis-28384	298	68	linksorry	linksorry	NOUN
bracis-28384	298	69	,	,	PUNCT
bracis-28384	298	70	a	a	DET
bracis-28384	298	71	shareable	shareable	ADJ
bracis-28384	298	72	link	link	NOUN
bracis-28384	298	73	is	be	AUX
bracis-28384	298	74	not	not	PART
bracis-28384	298	75	currently	currently	ADV
bracis-28384	298	76	available	available	ADJ
bracis-28384	298	77	for	for	ADP
bracis-28384	298	78	this	this	DET
bracis-28384	298	79	article	article	NOUN
bracis-28384	298	80	.	.	PUNCT
bracis-28384	299	1	copy	copy	VERB
bracis-28384	299	2	shareable	shareable	ADJ
bracis-28384	299	3	link	link	NOUN
bracis-28384	299	4	to	to	PART
bracis-28384	299	5	clipboard	clipboard	NOUN
bracis-28384	299	6	provided	provide	VERB
bracis-28384	299	7	by	by	ADP
bracis-28384	299	8	the	the	DET
bracis-28384	299	9	springer	springer	NOUN
bracis-28384	299	10	nature	nature	PROPN
bracis-28384	299	11	sharedit	sharedit	PROPN
bracis-28384	299	12	content	content	NOUN
bracis-28384	299	13	-	-	PUNCT
bracis-28384	299	14	sharing	share	VERB
bracis-28384	299	15	initiative	initiative	NOUN
bracis-28384	299	16	keywords	keyword	VERB
bracis-28384	299	17	artificial	artificial	ADJ
bracis-28384	299	18	intelligence	intelligence	NOUN
bracis-28384	299	19	natural	natural	ADJ
bracis-28384	299	20	language	language	NOUN
bracis-28384	299	21	processing	processing	NOUN
bracis-28384	299	22	oncology	oncology	NOUN
bracis-28384	299	23	deep	deep	ADJ
bracis-28384	299	24	learning	learning	NOUN
bracis-28384	299	25	machine	machine	NOUN
bracis-28384	299	26	learning	learn	VERB
bracis-28384	299	27	healthcare	healthcare	NOUN
bracis-28384	299	28	publish	publish	VERB
bracis-28384	299	29	with	with	ADP
bracis-28384	299	30	us	us	PROPN
bracis-28384	299	31	policies	policy	NOUN
bracis-28384	299	32	and	and	CCONJ
bracis-28384	299	33	ethics	ethic	NOUN
bracis-28384	299	34	search	search	NOUN
bracis-28384	299	35	search	search	NOUN
bracis-28384	299	36	by	by	ADP
bracis-28384	299	37	keyword	keyword	NOUN
bracis-28384	299	38	or	or	CCONJ
bracis-28384	299	39	author	author	NOUN
bracis-28384	299	40	search	search	NOUN
bracis-28384	299	41	navigation	navigation	NOUN
bracis-28384	299	42	find	find	VERB
bracis-28384	299	43	a	a	DET
bracis-28384	299	44	journal	journal	NOUN
bracis-28384	299	45	publish	publish	VERB
bracis-28384	299	46	with	with	ADP
bracis-28384	299	47	us	we	PRON
bracis-28384	299	48	track	track	VERB
bracis-28384	299	49	your	your	PRON
bracis-28384	299	50	research	research	NOUN
bracis-28384	299	51	discover	discover	VERB
bracis-28384	299	52	content	content	NOUN
bracis-28384	299	53	journals	journal	NOUN
bracis-28384	299	54	a	a	DET
bracis-28384	299	55	-	-	PUNCT
bracis-28384	299	56	z	z	NOUN
bracis-28384	299	57	books	book	NOUN
bracis-28384	299	58	a	a	DET
bracis-28384	299	59	-	-	PUNCT
bracis-28384	299	60	z	z	NOUN
bracis-28384	299	61	publish	publish	NOUN
bracis-28384	299	62	with	with	ADP
bracis-28384	299	63	us	us	PROPN
bracis-28384	299	64	journal	journal	PROPN
bracis-28384	299	65	finder	finder	PROPN
bracis-28384	299	66	publish	publish	VERB
bracis-28384	299	67	your	your	PRON
bracis-28384	299	68	research	research	NOUN
bracis-28384	299	69	language	language	NOUN
bracis-28384	299	70	editing	edit	VERB
bracis-28384	299	71	open	open	ADJ
bracis-28384	299	72	access	access	NOUN
bracis-28384	299	73	publishing	publishing	NOUN
bracis-28384	299	74	products	product	NOUN
bracis-28384	299	75	and	and	CCONJ
bracis-28384	299	76	services	service	NOUN
bracis-28384	299	77	our	our	PRON
bracis-28384	299	78	products	product	NOUN
bracis-28384	299	79	librarians	librarian	VERB
bracis-28384	299	80	societies	society	NOUN
bracis-28384	299	81	partners	partner	NOUN
bracis-28384	299	82	and	and	CCONJ
bracis-28384	299	83	advertisers	advertiser	NOUN
bracis-28384	299	84	our	our	PRON
bracis-28384	299	85	brands	brand	NOUN
bracis-28384	299	86	springer	springer	NOUN
bracis-28384	299	87	nature	nature	PROPN
bracis-28384	299	88	portfolio	portfolio	PROPN
bracis-28384	299	89	bmc	bmc	PROPN
bracis-28384	299	90	palgrave	palgrave	PROPN
bracis-28384	299	91	macmillan	macmillan	PROPN
bracis-28384	299	92	apress	apress	PROPN
bracis-28384	299	93	discover	discover	VERB
bracis-28384	299	94	your	your	PRON
bracis-28384	299	95	privacy	privacy	NOUN
bracis-28384	299	96	choices	choice	NOUN
bracis-28384	299	97	/	/	SYM
bracis-28384	299	98	manage	manage	NOUN
bracis-28384	299	99	cookies	cookie	NOUN
bracis-28384	299	100	your	your	PRON
bracis-28384	299	101	us	us	PROPN
bracis-28384	300	1	state	state	NOUN
bracis-28384	300	2	privacy	privacy	NOUN
bracis-28384	300	3	rights	right	NOUN
bracis-28384	300	4	accessibility	accessibility	NOUN
bracis-28384	300	5	statement	statement	NOUN
bracis-28384	300	6	terms	term	NOUN
bracis-28384	300	7	and	and	CCONJ
bracis-28384	300	8	conditions	condition	NOUN
bracis-28384	300	9	privacy	privacy	NOUN
bracis-28384	300	10	policy	policy	NOUN
bracis-28384	300	11	help	help	NOUN
bracis-28384	300	12	and	and	CCONJ
bracis-28384	300	13	support	support	VERB
bracis-28384	300	14	legal	legal	ADJ
bracis-28384	300	15	notice	notice	NOUN
bracis-28384	300	16	cancel	cancel	VERB
bracis-28384	300	17	contracts	contract	NOUN
bracis-28384	300	18	here	here	ADV
bracis-28384	300	19	129.74.145.123	129.74.145.123	NUM
bracis-28384	300	20	hesburgh	hesburgh	PROPN
bracis-28384	300	21	library	library	PROPN
bracis-28384	300	22	er	er	INTJ
bracis-28384	300	23	unit	unit	NOUN
bracis-28384	300	24	(	(	PUNCT
bracis-28384	300	25	3005732405	3005732405	NUM
bracis-28384	300	26	)	)	PUNCT
bracis-28384	300	27	northeast	northeast	ADJ
bracis-28384	300	28	research	research	NOUN
bracis-28384	300	29	libraries	library	NOUN
bracis-28384	300	30	(	(	PUNCT
bracis-28384	300	31	nerl	nerl	PROPN
bracis-28384	300	32	)	)	PUNCT
bracis-28384	300	33	(	(	PUNCT
bracis-28384	300	34	8200828607	8200828607	NUM
bracis-28384	300	35	)	)	PUNCT
bracis-28384	300	36	nerl	nerl	VERB
bracis-28384	300	37	ta	ta	X
bracis-28384	300	38	account	account	NOUN
bracis-28384	300	39	(	(	PUNCT
bracis-28384	300	40	3006206169	3006206169	NUM
bracis-28384	300	41	)	)	PUNCT
bracis-28384	300	42	university	university	NOUN
bracis-28384	300	43	of	of	ADP
bracis-28384	300	44	notre	notre	PROPN
bracis-28384	300	45	dame	dame	PROPN
bracis-28384	300	46	hesburgh	hesburgh	PROPN
bracis-28384	300	47	library	library	NOUN
bracis-28384	300	48	(	(	PUNCT
bracis-28384	300	49	3000184373	3000184373	NUM
bracis-28384	300	50	)	)	PUNCT
bracis-28384	301	1	©	©	ADP
bracis-28384	301	2	2025	2025	NUM
bracis-28384	301	3	springer	springer	NOUN
bracis-28384	301	4	nature	nature	NOUN