id	sid	tid	token	lemma	pos
eaes-1738	1	1	microsoft	microsoft	PROPN
eaes-1738	1	2	word	word	PROPN
eaes-1738	1	3	ees-v1n1-p42.doc	ees-v1n1-p42.doc	ADJ
eaes-1738	1	4	energy	energy	NOUN
eaes-1738	1	5	and	and	CCONJ
eaes-1738	1	6	earth	earth	NOUN
eaes-1738	1	7	science	science	NOUN
eaes-1738	1	8	vol	vol	NOUN
eaes-1738	1	9	.	.	PROPN
eaes-1738	1	10	1	1	NUM
eaes-1738	1	11	,	,	PUNCT
eaes-1738	1	12	no	no	INTJ
eaes-1738	1	13	.	.	NOUN
eaes-1738	1	14	1	1	NUM
eaes-1738	1	15	,	,	PUNCT
eaes-1738	1	16	2018	2018	NUM
eaes-1738	1	17	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	1	18	issn	issn	VERB
eaes-1738	1	19	2578	2578	NUM
eaes-1738	1	20	-	-	SYM
eaes-1738	1	21	1359	1359	NUM
eaes-1738	1	22	(	(	PUNCT
eaes-1738	1	23	print	print	NOUN
eaes-1738	1	24	)	)	PUNCT
eaes-1738	1	25	issn	issn	PROPN
eaes-1738	1	26	2578	2578	NUM
eaes-1738	1	27	-	-	SYM
eaes-1738	1	28	1367	1367	NUM
eaes-1738	1	29	(	(	PUNCT
eaes-1738	1	30	online	online	NOUN
eaes-1738	1	31	)	)	PUNCT
eaes-1738	1	32	42	42	NUM
eaes-1738	1	33	original	original	ADJ
eaes-1738	1	34	paper	paper	NOUN
eaes-1738	1	35	a	a	DET
eaes-1738	1	36	new	new	ADJ
eaes-1738	1	37	tool	tool	NOUN
eaes-1738	1	38	preliminary	preliminary	ADJ
eaes-1738	1	39	assessment	assessment	NOUN
eaes-1738	1	40	on	on	ADP
eaes-1738	1	41	temporal	temporal	ADJ
eaes-1738	1	42	-	-	PUNCT
eaes-1738	1	43	comorbidity	comorbidity	NOUN
eaes-1738	1	44	adjusted	adjust	VERB
eaes-1738	1	45	risk	risk	NOUN
eaes-1738	1	46	of	of	ADP
eaes-1738	1	47	emergency	emergency	NOUN
eaes-1738	1	48	readmission	readmission	NOUN
eaes-1738	1	49	(	(	PUNCT
eaes-1738	1	50	t	t	NOUN
eaes-1738	1	51	-	-	PUNCT
eaes-1738	1	52	carer	carer	NOUN
eaes-1738	1	53	)	)	PUNCT
eaes-1738	1	54	tim	tim	PROPN
eaes-1738	1	55	chen1,2,3,4	chen1,2,3,4	ADJ
eaes-1738	1	56	,	,	PUNCT
eaes-1738	1	57	asim	asim	PROPN
eaes-1738	1	58	muḥammad4	muḥammad4	PROPN
eaes-1738	1	59	,	,	PUNCT
eaes-1738	1	60	bertrand	bertrand	PROPN
eaes-1738	1	61	chapron5	chapron5	PROPN
eaes-1738	1	62	,	,	PUNCT
eaes-1738	1	63	c.	c.	PROPN
eaes-1738	1	64	y.	y.	PROPN
eaes-1738	1	65	j.	j.	PROPN
eaes-1738	1	66	chen6,7	chen6,7	PROPN
eaes-1738	1	67	,	,	PUNCT
eaes-1738	1	68	&	&	CCONJ
eaes-1738	1	69	alexander	alexander	PROPN
eaes-1738	1	70	babanin8	babanin8	PROPN
eaes-1738	1	71	1	1	NUM
eaes-1738	1	72	school	school	NOUN
eaes-1738	1	73	of	of	ADP
eaes-1738	1	74	geography	geography	NOUN
eaes-1738	1	75	,	,	PUNCT
eaes-1738	1	76	earth	earth	NOUN
eaes-1738	1	77	and	and	CCONJ
eaes-1738	1	78	environmental	environmental	ADJ
eaes-1738	1	79	sciences	science	NOUN
eaes-1738	1	80	,	,	PUNCT
eaes-1738	1	81	university	university	NOUN
eaes-1738	1	82	of	of	ADP
eaes-1738	1	83	birmingham	birmingham	PROPN
eaes-1738	1	84	,	,	PUNCT
eaes-1738	1	85	birmingham	birmingham	PROPN
eaes-1738	1	86	,	,	PUNCT
eaes-1738	1	87	uk	uk	PROPN
eaes-1738	1	88	2	2	NUM
eaes-1738	1	89	department	department	NOUN
eaes-1738	1	90	of	of	ADP
eaes-1738	1	91	artificial	artificial	ADJ
eaes-1738	1	92	intelligence	intelligence	NOUN
eaes-1738	1	93	,	,	PUNCT
eaes-1738	1	94	university	university	NOUN
eaes-1738	1	95	of	of	ADP
eaes-1738	1	96	maryland	maryland	PROPN
eaes-1738	1	97	,	,	PUNCT
eaes-1738	1	98	maryland	maryland	PROPN
eaes-1738	1	99	,	,	PUNCT
eaes-1738	1	100	usa	usa	PROPN
eaes-1738	1	101	3	3	NUM
eaes-1738	1	102	faculty	faculty	NOUN
eaes-1738	1	103	of	of	ADP
eaes-1738	1	104	intelligence	intelligence	NOUN
eaes-1738	1	105	technology	technology	NOUN
eaes-1738	1	106	,	,	PUNCT
eaes-1738	1	107	ton	ton	PROPN
eaes-1738	1	108	duc	duc	PROPN
eaes-1738	1	109	thang	thang	PROPN
eaes-1738	1	110	university	university	PROPN
eaes-1738	1	111	,	,	PUNCT
eaes-1738	1	112	ho	ho	PROPN
eaes-1738	1	113	chi	chi	PROPN
eaes-1738	1	114	minh	minh	PROPN
eaes-1738	1	115	city	city	PROPN
eaes-1738	1	116	,	,	PUNCT
eaes-1738	1	117	vietnam	vietnam	PROPN
eaes-1738	1	118	4	4	NUM
eaes-1738	1	119	faculty	faculty	NOUN
eaes-1738	1	120	of	of	ADP
eaes-1738	1	121	engineering	engineering	NOUN
eaes-1738	1	122	,	,	PUNCT
eaes-1738	1	123	king	king	PROPN
eaes-1738	1	124	abdulaziz	abdulaziz	PROPN
eaes-1738	1	125	university	university	PROPN
eaes-1738	1	126	,	,	PUNCT
eaes-1738	1	127	jeddah	jeddah	PROPN
eaes-1738	1	128	,	,	PUNCT
eaes-1738	1	129	saudi	saudi	PROPN
eaes-1738	1	130	arabia	arabia	PROPN
eaes-1738	1	131	5	5	NUM
eaes-1738	1	132	laboratoire	laboratoire	PROPN
eaes-1738	1	133	d'océanographie	d'océanographie	PROPN
eaes-1738	1	134	physique	physique	NOUN
eaes-1738	1	135	et	et	NOUN
eaes-1738	1	136	spatiale	spatiale	NOUN
eaes-1738	1	137	,	,	PUNCT
eaes-1738	1	138	centre	centre	NOUN
eaes-1738	1	139	de	de	X
eaes-1738	1	140	brest	brest	NOUN
eaes-1738	1	141	,	,	PUNCT
eaes-1738	1	142	ifremer	ifremer	NOUN
eaes-1738	1	143	,	,	PUNCT
eaes-1738	1	144	plouzané	plouzané	PROPN
eaes-1738	1	145	,	,	PUNCT
eaes-1738	1	146	france	france	PROPN
eaes-1738	1	147	6	6	NUM
eaes-1738	1	148	industrial	industrial	ADJ
eaes-1738	1	149	technology	technology	NOUN
eaes-1738	1	150	research	research	PROPN
eaes-1738	1	151	institute	institute	PROPN
eaes-1738	1	152	,	,	PUNCT
eaes-1738	1	153	hsinchu	hsinchu	PROPN
eaes-1738	1	154	,	,	PUNCT
eaes-1738	1	155	taiwan	taiwan	PROPN
eaes-1738	1	156	7	7	NUM
eaes-1738	1	157	brac	brac	PROPN
eaes-1738	1	158	univ	univ	PROPN
eaes-1738	1	159	,	,	PUNCT
eaes-1738	1	160	department	department	NOUN
eaes-1738	1	161	of	of	ADP
eaes-1738	1	162	computer	computer	NOUN
eaes-1738	1	163	science	science	NOUN
eaes-1738	1	164	and	and	CCONJ
eaes-1738	1	165	engineering	engineering	NOUN
eaes-1738	1	166	,	,	PUNCT
eaes-1738	1	167	dhaka	dhaka	PROPN
eaes-1738	1	168	,	,	PUNCT
eaes-1738	1	169	bangladesh	bangladesh	PROPN
eaes-1738	1	170	8	8	NUM
eaes-1738	1	171	department	department	NOUN
eaes-1738	1	172	of	of	ADP
eaes-1738	1	173	infrastructure	infrastructure	NOUN
eaes-1738	1	174	engineering	engineering	NOUN
eaes-1738	1	175	,	,	PUNCT
eaes-1738	1	176	university	university	PROPN
eaes-1738	1	177	of	of	ADP
eaes-1738	1	178	melbourne	melbourne	PROPN
eaes-1738	1	179	,	,	PUNCT
eaes-1738	1	180	melbourne	melbourne	PROPN
eaes-1738	1	181	,	,	PUNCT
eaes-1738	1	182	victoria	victoria	PROPN
eaes-1738	1	183	,	,	PUNCT
eaes-1738	1	184	australia	australia	PROPN
eaes-1738	1	185	received	receive	VERB
eaes-1738	1	186	:	:	PUNCT
eaes-1738	1	187	november	november	PROPN
eaes-1738	1	188	6	6	NUM
eaes-1738	1	189	,	,	PUNCT
eaes-1738	1	190	2018	2018	NUM
eaes-1738	1	191	accepted	accept	VERB
eaes-1738	1	192	:	:	PUNCT
eaes-1738	1	193	december	december	PROPN
eaes-1738	1	194	10	10	NUM
eaes-1738	1	195	,	,	PUNCT
eaes-1738	1	196	2018	2018	NUM
eaes-1738	1	197	online	online	ADV
eaes-1738	1	198	published	publish	VERB
eaes-1738	1	199	:	:	PUNCT
eaes-1738	1	200	december	december	PROPN
eaes-1738	1	201	17	17	NUM
eaes-1738	1	202	,	,	PUNCT
eaes-1738	1	203	2018	2018	NUM
eaes-1738	1	204	doi:10.22158	doi:10.22158	NOUN
eaes-1738	1	205	/	/	SYM
eaes-1738	1	206	ees.v1n1p42	ees.v1n1p42	PROPN
eaes-1738	1	207	url	url	PROPN
eaes-1738	1	208	:	:	PUNCT
eaes-1738	1	209	http://dx.doi.org/10.22158/ees.v1n1p42	http://dx.doi.org/10.22158/ees.v1n1p42	ADJ
eaes-1738	1	210	abstract	abstract	ADJ
eaes-1738	1	211	patients	patient	NOUN
eaes-1738	1	212	’	'	PUNCT
eaes-1738	1	213	comorbidities	comorbiditie	NOUN
eaes-1738	1	214	,	,	PUNCT
eaes-1738	1	215	operations	operation	NOUN
eaes-1738	1	216	and	and	CCONJ
eaes-1738	1	217	complications	complication	NOUN
eaes-1738	1	218	can	can	AUX
eaes-1738	1	219	be	be	AUX
eaes-1738	1	220	associated	associate	VERB
eaes-1738	1	221	with	with	ADP
eaes-1738	1	222	reduced	reduced	ADJ
eaes-1738	1	223	long	long	ADJ
eaes-1738	1	224	-	-	PUNCT
eaes-1738	1	225	term	term	NOUN
eaes-1738	1	226	survival	survival	NOUN
eaes-1738	1	227	probability	probability	NOUN
eaes-1738	1	228	and	and	CCONJ
eaes-1738	1	229	increased	increase	VERB
eaes-1738	1	230	healthcare	healthcare	NOUN
eaes-1738	1	231	utilisation	utilisation	NOUN
eaes-1738	1	232	.	.	PUNCT
eaes-1738	2	1	the	the	DET
eaes-1738	2	2	aim	aim	NOUN
eaes-1738	2	3	of	of	ADP
eaes-1738	2	4	this	this	DET
eaes-1738	2	5	research	research	NOUN
eaes-1738	2	6	was	be	AUX
eaes-1738	2	7	to	to	PART
eaes-1738	2	8	produce	produce	VERB
eaes-1738	2	9	an	an	DET
eaes-1738	2	10	adjusted	adjusted	ADJ
eaes-1738	2	11	case	case	NOUN
eaes-1738	2	12	-	-	PUNCT
eaes-1738	2	13	mix	mix	NOUN
eaes-1738	2	14	model	model	NOUN
eaes-1738	2	15	of	of	ADP
eaes-1738	2	16	comorbidity	comorbidity	NOUN
eaes-1738	2	17	risk	risk	NOUN
eaes-1738	2	18	and	and	CCONJ
eaes-1738	2	19	develop	develop	VERB
eaes-1738	2	20	a	a	DET
eaes-1738	2	21	user	user	NOUN
eaes-1738	2	22	-	-	PUNCT
eaes-1738	2	23	friendly	friendly	ADJ
eaes-1738	2	24	toolkit	toolkit	NOUN
eaes-1738	2	25	to	to	PART
eaes-1738	2	26	encourage	encourage	VERB
eaes-1738	2	27	public	public	ADJ
eaes-1738	2	28	adaptation	adaptation	NOUN
eaes-1738	2	29	and	and	CCONJ
eaes-1738	2	30	incremental	incremental	ADJ
eaes-1738	2	31	development	development	NOUN
eaes-1738	2	32	.	.	PUNCT
eaes-1738	3	1	it	it	PRON
eaes-1738	3	2	has	have	AUX
eaes-1738	3	3	been	be	AUX
eaes-1738	3	4	shown	show	VERB
eaes-1738	3	5	in	in	ADP
eaes-1738	3	6	healthcare	healthcare	PROPN
eaes-1738	3	7	research	research	NOUN
eaes-1738	3	8	that	that	SCONJ
eaes-1738	3	9	demographics	demographic	NOUN
eaes-1738	3	10	,	,	PUNCT
eaes-1738	3	11	temporal	temporal	ADJ
eaes-1738	3	12	dimensions	dimension	NOUN
eaes-1738	3	13	,	,	PUNCT
eaes-1738	3	14	length	length	NOUN
eaes-1738	3	15	-	-	PUNCT
eaes-1738	3	16	of	of	ADP
eaes-1738	3	17	-	-	PUNCT
eaes-1738	3	18	stay	stay	NOUN
eaes-1738	3	19	and	and	CCONJ
eaes-1738	3	20	time	time	NOUN
eaes-1738	3	21	between	between	ADP
eaes-1738	3	22	admissions	admission	NOUN
eaes-1738	3	23	,	,	PUNCT
eaes-1738	3	24	can	can	AUX
eaes-1738	3	25	noticeably	noticeably	ADV
eaes-1738	3	26	improve	improve	VERB
eaes-1738	3	27	the	the	DET
eaes-1738	3	28	statistical	statistical	ADJ
eaes-1738	3	29	measures	measure	NOUN
eaes-1738	3	30	related	relate	VERB
eaes-1738	3	31	to	to	ADP
eaes-1738	3	32	comorbidities	comorbiditie	NOUN
eaes-1738	3	33	.	.	PUNCT
eaes-1738	4	1	the	the	DET
eaes-1738	4	2	proposed	propose	VERB
eaes-1738	4	3	model	model	NOUN
eaes-1738	4	4	incorporates	incorporate	VERB
eaes-1738	4	5	temporal	temporal	ADJ
eaes-1738	4	6	aspects	aspect	NOUN
eaes-1738	4	7	,	,	PUNCT
eaes-1738	4	8	medical	medical	ADJ
eaes-1738	4	9	procedures	procedure	NOUN
eaes-1738	4	10	,	,	PUNCT
eaes-1738	4	11	demographics	demographic	NOUN
eaes-1738	4	12	,	,	PUNCT
eaes-1738	4	13	and	and	CCONJ
eaes-1738	4	14	admission	admission	NOUN
eaes-1738	4	15	details	detail	NOUN
eaes-1738	4	16	,	,	PUNCT
eaes-1738	4	17	as	as	ADV
eaes-1738	4	18	well	well	ADV
eaes-1738	4	19	as	as	ADP
eaes-1738	4	20	diagnoses	diagnosis	NOUN
eaes-1738	4	21	.	.	PUNCT
eaes-1738	5	1	the	the	DET
eaes-1738	5	2	research	research	NOUN
eaes-1738	5	3	resulted	result	VERB
eaes-1738	5	4	in	in	ADP
eaes-1738	5	5	the	the	DET
eaes-1738	5	6	development	development	NOUN
eaes-1738	5	7	of	of	ADP
eaes-1738	5	8	temporal	temporal	ADJ
eaes-1738	5	9	-	-	PUNCT
eaes-1738	5	10	comorbidity	comorbidity	NOUN
eaes-1738	5	11	adjusted	adjust	VERB
eaes-1738	5	12	risk	risk	NOUN
eaes-1738	5	13	of	of	ADP
eaes-1738	5	14	emergency	emergency	NOUN
eaes-1738	5	15	readmission	readmission	NOUN
eaes-1738	5	16	(	(	PUNCT
eaes-1738	5	17	t	t	NOUN
eaes-1738	5	18	-	-	PUNCT
eaes-1738	5	19	carer	carer	NOUN
eaes-1738	5	20	)	)	PUNCT
eaes-1738	5	21	model	model	NOUN
eaes-1738	5	22	using	use	VERB
eaes-1738	5	23	routinely	routinely	ADV
eaes-1738	5	24	collected	collect	VERB
eaes-1738	5	25	hospital	hospital	NOUN
eaes-1738	5	26	data	datum	NOUN
eaes-1738	5	27	.	.	PUNCT
eaes-1738	6	1	keywords	keyword	VERB
eaes-1738	6	2	multiple	multiple	ADJ
eaes-1738	6	3	criteria	criterion	NOUN
eaes-1738	6	4	decision	decision	NOUN
eaes-1738	6	5	making	making	NOUN
eaes-1738	6	6	,	,	PUNCT
eaes-1738	6	7	interval	interval	NOUN
eaes-1738	6	8	-	-	PUNCT
eaes-1738	6	9	valued	value	VERB
eaes-1738	6	10	belief	belief	NOUN
eaes-1738	6	11	distribution	distribution	NOUN
eaes-1738	6	12	,	,	PUNCT
eaes-1738	6	13	evolutionary	evolutionary	ADJ
eaes-1738	6	14	algorithm	algorithm	NOUN
eaes-1738	6	15	,	,	PUNCT
eaes-1738	6	16	accuracy	accuracy	NOUN
eaes-1738	6	17	,	,	PUNCT
eaes-1738	6	18	efficiency	efficiency	NOUN
eaes-1738	6	19	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	6	20	energy	energy	NOUN
eaes-1738	6	21	and	and	CCONJ
eaes-1738	6	22	earth	earth	NOUN
eaes-1738	6	23	science	science	NOUN
eaes-1738	6	24	vol	vol	NOUN
eaes-1738	6	25	.	.	PROPN
eaes-1738	7	1	1	1	NUM
eaes-1738	7	2	,	,	PUNCT
eaes-1738	7	3	no	no	INTJ
eaes-1738	7	4	.	.	NOUN
eaes-1738	7	5	1	1	NUM
eaes-1738	7	6	,	,	PUNCT
eaes-1738	7	7	2018	2018	NUM
eaes-1738	7	8	43	43	NUM
eaes-1738	7	9	published	publish	VERB
eaes-1738	7	10	by	by	ADP
eaes-1738	7	11	scholink	scholink	PROPN
eaes-1738	7	12	inc	inc	PROPN
eaes-1738	7	13	.	.	PROPN
eaes-1738	7	14	1	1	NUM
eaes-1738	7	15	.	.	X
eaes-1738	8	1	introduction	introduction	NOUN
eaes-1738	8	2	there	there	PRON
eaes-1738	8	3	is	be	VERB
eaes-1738	8	4	increasing	increase	VERB
eaes-1738	8	5	evidence	evidence	NOUN
eaes-1738	8	6	that	that	SCONJ
eaes-1738	8	7	the	the	DET
eaes-1738	8	8	quantification	quantification	NOUN
eaes-1738	8	9	of	of	ADP
eaes-1738	8	10	high	high	ADJ
eaes-1738	8	11	-	-	PUNCT
eaes-1738	8	12	risk	risk	NOUN
eaes-1738	8	13	diagnoses	diagnosis	NOUN
eaes-1738	8	14	,	,	PUNCT
eaes-1738	8	15	operations	operation	NOUN
eaes-1738	8	16	and	and	CCONJ
eaes-1738	8	17	procedures	procedure	NOUN
eaes-1738	8	18	,	,	PUNCT
eaes-1738	8	19	and	and	CCONJ
eaes-1738	8	20	monitoring	monitor	VERB
eaes-1738	8	21	changes	change	NOUN
eaes-1738	8	22	over	over	ADP
eaes-1738	8	23	time	time	NOUN
eaes-1738	8	24	,	,	PUNCT
eaes-1738	8	25	can	can	AUX
eaes-1738	8	26	greatly	greatly	ADV
eaes-1738	8	27	improve	improve	VERB
eaes-1738	8	28	the	the	DET
eaes-1738	8	29	quality	quality	NOUN
eaes-1738	8	30	of	of	ADP
eaes-1738	8	31	readmission	readmission	NOUN
eaes-1738	8	32	models	model	NOUN
eaes-1738	8	33	with	with	ADP
eaes-1738	8	34	adequate	adequate	ADJ
eaes-1738	8	35	adjustment	adjustment	NOUN
eaes-1738	8	36	.	.	PUNCT
eaes-1738	9	1	there	there	PRON
eaes-1738	9	2	have	have	AUX
eaes-1738	9	3	been	be	AUX
eaes-1738	9	4	two	two	NUM
eaes-1738	9	5	streams	stream	NOUN
eaes-1738	9	6	of	of	ADP
eaes-1738	9	7	work	work	NOUN
eaes-1738	9	8	on	on	ADP
eaes-1738	9	9	risk	risk	NOUN
eaes-1738	9	10	scoring	scoring	NOUN
eaes-1738	9	11	comorbidities	comorbiditie	NOUN
eaes-1738	9	12	to	to	PART
eaes-1738	9	13	estimate	estimate	VERB
eaes-1738	9	14	future	future	ADJ
eaes-1738	9	15	resource	resource	NOUN
eaes-1738	9	16	utilisation	utilisation	NOUN
eaes-1738	9	17	,	,	PUNCT
eaes-1738	9	18	emergency	emergency	NOUN
eaes-1738	9	19	admission	admission	NOUN
eaes-1738	9	20	and	and	CCONJ
eaes-1738	9	21	mortality	mortality	NOUN
eaes-1738	9	22	.	.	PUNCT
eaes-1738	10	1	firstly	firstly	ADV
eaes-1738	10	2	,	,	PUNCT
eaes-1738	10	3	one	one	NUM
eaes-1738	10	4	stream	stream	NOUN
eaes-1738	10	5	of	of	ADP
eaes-1738	10	6	research	research	NOUN
eaes-1738	10	7	looks	look	VERB
eaes-1738	10	8	at	at	ADP
eaes-1738	10	9	the	the	DET
eaes-1738	10	10	odds	odd	NOUN
eaes-1738	10	11	ratio	ratio	NOUN
eaes-1738	10	12	of	of	ADP
eaes-1738	10	13	major	major	ADJ
eaes-1738	10	14	diagnoses	diagnosis	NOUN
eaes-1738	10	15	groups	group	NOUN
eaes-1738	10	16	and	and	CCONJ
eaes-1738	10	17	therefore	therefore	ADV
eaes-1738	10	18	is	be	AUX
eaes-1738	10	19	highly	highly	ADV
eaes-1738	10	20	reliant	reliant	ADJ
eaes-1738	10	21	on	on	ADP
eaes-1738	10	22	the	the	DET
eaes-1738	10	23	whole	whole	ADJ
eaes-1738	10	24	population	population	NOUN
eaes-1738	10	25	statistics	statistic	NOUN
eaes-1738	10	26	.	.	PUNCT
eaes-1738	11	1	these	these	DET
eaes-1738	11	2	models	model	NOUN
eaes-1738	11	3	stem	stem	VERB
eaes-1738	11	4	from	from	ADP
eaes-1738	11	5	crudely	crudely	ADV
eaes-1738	11	6	summing	sum	VERB
eaes-1738	11	7	up	up	ADP
eaes-1738	11	8	the	the	DET
eaes-1738	11	9	derived	derive	VERB
eaes-1738	11	10	weights	weight	NOUN
eaes-1738	11	11	for	for	ADP
eaes-1738	11	12	comorbidities	comorbiditie	NOUN
eaes-1738	11	13	,	,	PUNCT
eaes-1738	11	14	which	which	PRON
eaes-1738	11	15	are	be	AUX
eaes-1738	11	16	based	base	VERB
eaes-1738	11	17	on	on	ADP
eaes-1738	11	18	the	the	DET
eaes-1738	11	19	most	most	ADV
eaes-1738	11	20	recent	recent	ADJ
eaes-1738	11	21	admission	admission	NOUN
eaes-1738	11	22	of	of	ADP
eaes-1738	11	23	patients	patient	NOUN
eaes-1738	11	24	with	with	ADP
eaes-1738	11	25	disregard	disregard	NOUN
eaes-1738	11	26	of	of	ADP
eaes-1738	11	27	temporal	temporal	ADJ
eaes-1738	11	28	patterns	pattern	NOUN
eaes-1738	11	29	.	.	PUNCT
eaes-1738	12	1	a	a	DET
eaes-1738	12	2	popular	popular	ADJ
eaes-1738	12	3	example	example	NOUN
eaes-1738	12	4	is	be	AUX
eaes-1738	12	5	the	the	DET
eaes-1738	12	6	charlson	charlson	NOUN
eaes-1738	12	7	comorbidity	comorbidity	PROPN
eaes-1738	12	8	index	index	NOUN
eaes-1738	12	9	(	(	PUNCT
eaes-1738	12	10	cci	cci	PROPN
eaes-1738	12	11	)	)	PUNCT
eaes-1738	12	12	(	(	PUNCT
eaes-1738	12	13	charlson	charlson	NOUN
eaes-1738	12	14	,	,	PUNCT
eaes-1738	12	15	pompei	pompei	PROPN
eaes-1738	12	16	,	,	PUNCT
eaes-1738	12	17	ales	ale	NOUN
eaes-1738	12	18	,	,	PUNCT
eaes-1738	12	19	&	&	CCONJ
eaes-1738	12	20	mackenzie	mackenzie	PROPN
eaes-1738	12	21	,	,	PUNCT
eaes-1738	12	22	1987	1987	NUM
eaes-1738	12	23	)	)	PUNCT
eaes-1738	12	24	,	,	PUNCT
eaes-1738	12	25	which	which	PRON
eaes-1738	12	26	relies	rely	VERB
eaes-1738	12	27	on	on	ADP
eaes-1738	12	28	twenty	twenty	NUM
eaes-1738	12	29	-	-	PUNCT
eaes-1738	12	30	two	two	NUM
eaes-1738	12	31	comorbidity	comorbidity	NOUN
eaes-1738	12	32	groups	group	NOUN
eaes-1738	12	33	.	.	PUNCT
eaes-1738	13	1	one	one	NUM
eaes-1738	13	2	of	of	ADP
eaes-1738	13	3	the	the	DET
eaes-1738	13	4	recent	recent	ADJ
eaes-1738	13	5	translation	translation	NOUN
eaes-1738	13	6	of	of	ADP
eaes-1738	13	7	the	the	DET
eaes-1738	13	8	cci	cci	NOUN
eaes-1738	13	9	is	be	AUX
eaes-1738	13	10	the	the	DET
eaes-1738	13	11	national	national	PROPN
eaes-1738	13	12	health	health	PROPN
eaes-1738	13	13	service	service	NOUN
eaes-1738	13	14	(	(	PUNCT
eaes-1738	13	15	nhs	nhs	PROPN
eaes-1738	13	16	)	)	PUNCT
eaes-1738	13	17	england	england	PROPN
eaes-1738	13	18	version	version	NOUN
eaes-1738	13	19	of	of	ADP
eaes-1738	13	20	the	the	DET
eaes-1738	13	21	cci	cci	PROPN
eaes-1738	13	22	(	(	PUNCT
eaes-1738	13	23	nhs	nhs	PROPN
eaes-1738	13	24	-	-	PUNCT
eaes-1738	13	25	cci	cci	PROPN
eaes-1738	13	26	)	)	PUNCT
eaes-1738	13	27	,	,	PUNCT
eaes-1738	13	28	that	that	PRON
eaes-1738	13	29	is	be	AUX
eaes-1738	13	30	continuously	continuously	ADV
eaes-1738	13	31	being	be	AUX
eaes-1738	13	32	updated	update	VERB
eaes-1738	13	33	(	(	PUNCT
eaes-1738	13	34	aylin	aylin	PROPN
eaes-1738	13	35	,	,	PUNCT
eaes-1738	13	36	bottle	bottle	NOUN
eaes-1738	13	37	,	,	PUNCT
eaes-1738	13	38	jen	jen	PROPN
eaes-1738	13	39	,	,	PUNCT
eaes-1738	13	40	middleton	middleton	PROPN
eaes-1738	13	41	,	,	PUNCT
eaes-1738	13	42	&	&	CCONJ
eaes-1738	13	43	intelligence	intelligence	NOUN
eaes-1738	13	44	,	,	PUNCT
eaes-1738	13	45	2010	2010	NUM
eaes-1738	13	46	;	;	PUNCT
eaes-1738	13	47	bottle	bottle	NOUN
eaes-1738	13	48	,	,	PUNCT
eaes-1738	13	49	jarman	jarman	PROPN
eaes-1738	13	50	,	,	PUNCT
eaes-1738	13	51	&	&	CCONJ
eaes-1738	13	52	aylin	aylin	PROPN
eaes-1738	13	53	,	,	PUNCT
eaes-1738	13	54	2011	2011	NUM
eaes-1738	13	55	;	;	PUNCT
eaes-1738	13	56	hscic	hscic	NOUN
eaes-1738	13	57	,	,	PUNCT
eaes-1738	13	58	2014	2014	NUM
eaes-1738	13	59	;	;	PUNCT
eaes-1738	13	60	2015	2015	NUM
eaes-1738	13	61	;	;	PUNCT
eaes-1738	13	62	2016	2016	NUM
eaes-1738	13	63	)	)	PUNCT
eaes-1738	13	64	.	.	PUNCT
eaes-1738	14	1	the	the	DET
eaes-1738	14	2	second	second	ADJ
eaes-1738	14	3	stream	stream	NOUN
eaes-1738	14	4	of	of	ADP
eaes-1738	14	5	models	model	NOUN
eaes-1738	14	6	uses	use	VERB
eaes-1738	14	7	a	a	DET
eaes-1738	14	8	diagnosis	diagnosis	NOUN
eaes-1738	14	9	classification	classification	NOUN
eaes-1738	14	10	approach	approach	NOUN
eaes-1738	14	11	based	base	VERB
eaes-1738	14	12	on	on	ADP
eaes-1738	14	13	simi	simi	PROPN
eaes-1738	14	14	larities	larities	PROPN
eaes-1738	14	15	,	,	PUNCT
eaes-1738	14	16	type	type	NOUN
eaes-1738	14	17	,	,	PUNCT
eaes-1738	14	18	likelihood	likelihood	NOUN
eaes-1738	14	19	or	or	CCONJ
eaes-1738	14	20	duration	duration	NOUN
eaes-1738	14	21	of	of	ADP
eaes-1738	14	22	care	care	NOUN
eaes-1738	14	23	.	.	PUNCT
eaes-1738	15	1	however	however	ADV
eaes-1738	15	2	,	,	PUNCT
eaes-1738	15	3	they	they	PRON
eaes-1738	15	4	are	be	AUX
eaes-1738	15	5	usually	usually	ADV
eaes-1738	15	6	very	very	ADV
eaes-1738	15	7	complex	complex	ADJ
eaes-1738	15	8	and	and	CCONJ
eaes-1738	15	9	specialised	specialise	VERB
eaes-1738	15	10	to	to	ADP
eaes-1738	15	11	highly	highly	ADV
eaes-1738	15	12	particular	particular	ADJ
eaes-1738	15	13	settings	setting	NOUN
eaes-1738	15	14	and	and	CCONJ
eaes-1738	15	15	populations	population	NOUN
eaes-1738	15	16	.	.	PUNCT
eaes-1738	16	1	also	also	ADV
eaes-1738	16	2	,	,	PUNCT
eaes-1738	16	3	these	these	DET
eaes-1738	16	4	models	model	NOUN
eaes-1738	16	5	use	use	VERB
eaes-1738	16	6	a	a	DET
eaes-1738	16	7	period	period	NOUN
eaes-1738	16	8	of	of	ADP
eaes-1738	16	9	care	care	NOUN
eaes-1738	16	10	records	record	NOUN
eaes-1738	16	11	in	in	ADP
eaes-1738	16	12	past	past	NOUN
eaes-1738	16	13	,	,	PUNCT
eaes-1738	16	14	but	but	CCONJ
eaes-1738	16	15	temporal	temporal	ADJ
eaes-1738	16	16	patterns	pattern	NOUN
eaes-1738	16	17	are	be	AUX
eaes-1738	16	18	greatly	greatly	ADV
eaes-1738	16	19	ignored	ignore	VERB
eaes-1738	16	20	.	.	PUNCT
eaes-1738	17	1	one	one	NUM
eaes-1738	17	2	prominent	prominent	ADJ
eaes-1738	17	3	method	method	NOUN
eaes-1738	17	4	is	be	AUX
eaes-1738	17	5	the	the	DET
eaes-1738	17	6	elixhauser	elixhaus	ADJ
eaes-1738	17	7	comorbidity	comorbidity	NOUN
eaes-1738	17	8	index	index	NOUN
eaes-1738	17	9	(	(	PUNCT
eaes-1738	17	10	eci	eci	PROPN
eaes-1738	17	11	)	)	PUNCT
eaes-1738	17	12	(	(	PUNCT
eaes-1738	17	13	elixhauser	elixhauser	NOUN
eaes-1738	17	14	,	,	PUNCT
eaes-1738	17	15	steiner	steiner	PROPN
eaes-1738	17	16	,	,	PUNCT
eaes-1738	17	17	harris	harris	PROPN
eaes-1738	17	18	,	,	PUNCT
eaes-1738	17	19	&	&	CCONJ
eaes-1738	17	20	coffey	coffey	PROPN
eaes-1738	17	21	,	,	PUNCT
eaes-1738	17	22	1998	1998	NUM
eaes-1738	17	23	;	;	PUNCT
eaes-1738	17	24	ahrq	ahrq	PROPN
eaes-1738	17	25	,	,	PUNCT
eaes-1738	17	26	2016	2016	NUM
eaes-1738	17	27	)	)	PUNCT
eaes-1738	17	28	,	,	PUNCT
eaes-1738	17	29	which	which	PRON
eaes-1738	17	30	relies	rely	VERB
eaes-1738	17	31	on	on	ADP
eaes-1738	17	32	thirty	thirty	NUM
eaes-1738	17	33	comorbidity	comorbidity	NOUN
eaes-1738	17	34	groups	group	NOUN
eaes-1738	17	35	and	and	CCONJ
eaes-1738	17	36	1	1	NUM
eaes-1738	17	37	-	-	PUNCT
eaes-1738	17	38	year	year	NOUN
eaes-1738	17	39	lookback	lookback	NOUN
eaes-1738	17	40	period	period	NOUN
eaes-1738	17	41	.	.	PUNCT
eaes-1738	18	1	unlike	unlike	ADP
eaes-1738	18	2	the	the	DET
eaes-1738	18	3	cci	cci	NOUN
eaes-1738	18	4	,	,	PUNCT
eaes-1738	18	5	the	the	DET
eaes-1738	18	6	eci	eci	PROPN
eaes-1738	18	7	is	be	AUX
eaes-1738	18	8	using	use	VERB
eaes-1738	18	9	diagnosis	diagnosis	NOUN
eaes-1738	18	10	-	-	PUNCT
eaes-1738	18	11	related	relate	VERB
eaes-1738	18	12	groups	group	NOUN
eaes-1738	18	13	(	(	PUNCT
eaes-1738	18	14	drg	drg	PROPN
eaes-1738	18	15	)	)	PUNCT
eaes-1738	18	16	,	,	PUNCT
eaes-1738	18	17	which	which	PRON
eaes-1738	18	18	was	be	AUX
eaes-1738	18	19	first	first	ADV
eaes-1738	18	20	developed	develop	VERB
eaes-1738	18	21	by	by	ADP
eaes-1738	18	22	fetter	fetter	NOUN
eaes-1738	18	23	et	et	PROPN
eaes-1738	18	24	al	al	PROPN
eaes-1738	18	25	.	.	PUNCT
eaes-1738	19	1	(	(	PUNCT
eaes-1738	19	2	fetter	fetter	NOUN
eaes-1738	19	3	,	,	PUNCT
eaes-1738	19	4	shin	shin	PROPN
eaes-1738	19	5	,	,	PUNCT
eaes-1738	19	6	freeman	freeman	PROPN
eaes-1738	19	7	,	,	PUNCT
eaes-1738	19	8	averill	averill	PROPN
eaes-1738	19	9	,	,	PUNCT
eaes-1738	19	10	&	&	CCONJ
eaes-1738	19	11	thompson	thompson	PROPN
eaes-1738	19	12	,	,	PUNCT
eaes-1738	19	13	1980	1980	NUM
eaes-1738	19	14	)	)	PUNCT
eaes-1738	19	15	and	and	CCONJ
eaes-1738	19	16	is	be	AUX
eaes-1738	19	17	based	base	VERB
eaes-1738	19	18	on	on	ADP
eaes-1738	19	19	icd	icd	PROPN
eaes-1738	19	20	(	(	PUNCT
eaes-1738	19	21	international	international	ADJ
eaes-1738	19	22	statistical	statistical	ADJ
eaes-1738	19	23	classification	classification	NOUN
eaes-1738	19	24	of	of	ADP
eaes-1738	19	25	diseases	disease	NOUN
eaes-1738	19	26	)	)	PUNCT
eaes-1738	19	27	diagnoses	diagnosis	NOUN
eaes-1738	19	28	,	,	PUNCT
eaes-1738	19	29	procedures	procedure	NOUN
eaes-1738	19	30	,	,	PUNCT
eaes-1738	19	31	age	age	NOUN
eaes-1738	19	32	,	,	PUNCT
eaes-1738	19	33	sex	sex	NOUN
eaes-1738	19	34	,	,	PUNCT
eaes-1738	19	35	discharge	discharge	NOUN
eaes-1738	19	36	status	status	NOUN
eaes-1738	19	37	,	,	PUNCT
eaes-1738	19	38	complications	complication	NOUN
eaes-1738	19	39	and	and	CCONJ
eaes-1738	19	40	comorbidities	comorbiditie	NOUN
eaes-1738	19	41	.	.	PUNCT
eaes-1738	20	1	a	a	DET
eaes-1738	20	2	recent	recent	ADJ
eaes-1738	20	3	adaptation	adaptation	NOUN
eaes-1738	20	4	of	of	ADP
eaes-1738	20	5	the	the	DET
eaes-1738	20	6	eci	eci	PROPN
eaes-1738	20	7	is	be	AUX
eaes-1738	20	8	the	the	DET
eaes-1738	20	9	ahrq	ahrq	PROPN
eaes-1738	20	10	-	-	PUNCT
eaes-1738	20	11	eci	eci	PROPN
eaes-1738	20	12	,	,	PUNCT
eaes-1738	20	13	which	which	PRON
eaes-1738	20	14	is	be	AUX
eaes-1738	20	15	actively	actively	ADV
eaes-1738	20	16	being	be	AUX
eaes-1738	20	17	maintained	maintain	VERB
eaes-1738	20	18	by	by	ADP
eaes-1738	20	19	the	the	DET
eaes-1738	20	20	us	us	PROPN
eaes-1738	20	21	public	public	ADJ
eaes-1738	20	22	health	health	NOUN
eaes-1738	20	23	service	service	NOUN
eaes-1738	20	24	(	(	PUNCT
eaes-1738	20	25	ahrq	ahrq	PROPN
eaes-1738	20	26	,	,	PUNCT
eaes-1738	20	27	2016	2016	NUM
eaes-1738	20	28	)	)	PUNCT
eaes-1738	20	29	.	.	PUNCT
eaes-1738	21	1	another	another	DET
eaes-1738	21	2	well	well	ADV
eaes-1738	21	3	-	-	PUNCT
eaes-1738	21	4	established	establish	VERB
eaes-1738	21	5	method	method	NOUN
eaes-1738	21	6	is	be	AUX
eaes-1738	21	7	the	the	DET
eaes-1738	21	8	john	john	PROPN
eaes-1738	21	9	hopkin	hopkin	PROPN
eaes-1738	21	10	’s	’s	PART
eaes-1738	21	11	(	(	PUNCT
eaes-1738	21	12	weiner	weiner	NOUN
eaes-1738	21	13	&	&	CCONJ
eaes-1738	21	14	abrams	abrams	PROPN
eaes-1738	21	15	,	,	PUNCT
eaes-1738	21	16	2011	2011	NUM
eaes-1738	21	17	)	)	PUNCT
eaes-1738	21	18	adjusted	adjust	VERB
eaes-1738	21	19	clinical	clinical	ADJ
eaes-1738	21	20	groups	group	NOUN
eaes-1738	21	21	(	(	PUNCT
eaes-1738	21	22	acgs	acgs	PROPN
eaes-1738	21	23	)	)	PUNCT
eaes-1738	21	24	,	,	PUNCT
eaes-1738	21	25	which	which	PRON
eaes-1738	21	26	is	be	AUX
eaes-1738	21	27	a	a	DET
eaes-1738	21	28	commercial	commercial	ADJ
eaes-1738	21	29	tool	tool	NOUN
eaes-1738	21	30	.	.	PUNCT
eaes-1738	22	1	the	the	DET
eaes-1738	22	2	model	model	NOUN
eaes-1738	22	3	uses	use	VERB
eaes-1738	22	4	a	a	DET
eaes-1738	22	5	minimum	minimum	NOUN
eaes-1738	22	6	of	of	ADP
eaes-1738	22	7	6	6	NUM
eaes-1738	22	8	-	-	PUNCT
eaes-1738	22	9	month	month	NOUN
eaes-1738	22	10	and	and	CCONJ
eaes-1738	22	11	maximum	maximum	NOUN
eaes-1738	22	12	of	of	ADP
eaes-1738	22	13	1	1	NUM
eaes-1738	22	14	-	-	PUNCT
eaes-1738	22	15	year	year	NOUN
eaes-1738	22	16	prior	prior	ADJ
eaes-1738	22	17	care	care	NOUN
eaes-1738	22	18	records	record	NOUN
eaes-1738	22	19	,	,	PUNCT
eaes-1738	22	20	and	and	CCONJ
eaes-1738	22	21	it	it	PRON
eaes-1738	22	22	encapsulates	encapsulate	VERB
eaes-1738	22	23	32	32	NUM
eaes-1738	22	24	diagnoses	diagnosis	NOUN
eaes-1738	22	25	groups	group	NOUN
eaes-1738	22	26	,	,	PUNCT
eaes-1738	22	27	known	know	VERB
eaes-1738	22	28	as	as	ADP
eaes-1738	22	29	aggregated	aggregate	VERB
eaes-1738	22	30	diagnosis	diagnosis	NOUN
eaes-1738	22	31	groups	group	NOUN
eaes-1738	22	32	(	(	PUNCT
eaes-1738	22	33	adgs	adgs	ADJ
eaes-1738	22	34	)	)	PUNCT
eaes-1738	22	35	,	,	PUNCT
eaes-1738	22	36	and	and	CCONJ
eaes-1738	22	37	their	their	PRON
eaes-1738	22	38	aggregations	aggregation	NOUN
eaes-1738	22	39	called	call	VERB
eaes-1738	22	40	expanded	expand	VERB
eaes-1738	22	41	diagnosis	diagnosis	NOUN
eaes-1738	22	42	clusters	cluster	NOUN
eaes-1738	22	43	(	(	PUNCT
eaes-1738	22	44	edcs	edcs	PROPN
eaes-1738	22	45	)	)	PUNCT
eaes-1738	22	46	.	.	PUNCT
eaes-1738	23	1	moreover	moreover	ADV
eaes-1738	23	2	,	,	PUNCT
eaes-1738	23	3	these	these	DET
eaes-1738	23	4	indices	index	NOUN
eaes-1738	23	5	are	be	AUX
eaes-1738	23	6	initially	initially	ADV
eaes-1738	23	7	developed	develop	VERB
eaes-1738	23	8	to	to	PART
eaes-1738	23	9	adjust	adjust	VERB
eaes-1738	23	10	for	for	ADP
eaes-1738	23	11	particular	particular	ADJ
eaes-1738	23	12	risks	risk	NOUN
eaes-1738	23	13	,	,	PUNCT
eaes-1738	23	14	like	like	ADP
eaes-1738	23	15	mortality	mortality	NOUN
eaes-1738	23	16	risk	risk	NOUN
eaes-1738	23	17	and	and	CCONJ
eaes-1738	23	18	care	care	NOUN
eaes-1738	23	19	utilisation	utilisation	NOUN
eaes-1738	23	20	,	,	PUNCT
eaes-1738	23	21	but	but	CCONJ
eaes-1738	23	22	they	they	PRON
eaes-1738	23	23	are	be	AUX
eaes-1738	23	24	commonly	commonly	ADV
eaes-1738	23	25	used	use	VERB
eaes-1738	23	26	in	in	ADP
eaes-1738	23	27	a	a	DET
eaes-1738	23	28	variety	variety	NOUN
eaes-1738	23	29	of	of	ADP
eaes-1738	23	30	risk	risk	NOUN
eaes-1738	23	31	adjustment	adjustment	NOUN
eaes-1738	23	32	problems	problem	NOUN
eaes-1738	23	33	in	in	ADP
eaes-1738	23	34	critical	critical	ADJ
eaes-1738	23	35	care	care	NOUN
eaes-1738	23	36	health	health	PROPN
eaes-1738	23	37	services	service	NOUN
eaes-1738	23	38	research	research	NOUN
eaes-1738	23	39	.	.	PUNCT
eaes-1738	24	1	in	in	ADP
eaes-1738	24	2	the	the	DET
eaes-1738	24	3	machine	machine	NOUN
eaes-1738	24	4	learning	learn	VERB
eaes-1738	24	5	pipeline	pipeline	NOUN
eaes-1738	24	6	that	that	PRON
eaes-1738	24	7	was	be	AUX
eaes-1738	24	8	developed	develop	VERB
eaes-1738	24	9	in	in	ADP
eaes-1738	24	10	the	the	DET
eaes-1738	24	11	prior	prior	ADJ
eaes-1738	24	12	stage	stage	NOUN
eaes-1738	24	13	of	of	ADP
eaes-1738	24	14	our	our	PRON
eaes-1738	24	15	research	research	NOUN
eaes-1738	24	16	(	(	PUNCT
eaes-1738	24	17	mesgarpour	mesgarpour	NOUN
eaes-1738	24	18	,	,	PUNCT
eaes-1738	24	19	chaussalet	chaussalet	NOUN
eaes-1738	24	20	,	,	PUNCT
eaes-1738	24	21	&	&	CCONJ
eaes-1738	24	22	chahed	chahe	VERB
eaes-1738	24	23	,	,	PUNCT
eaes-1738	24	24	2017	2017	NUM
eaes-1738	24	25	)	)	PUNCT
eaes-1738	24	26	,	,	PUNCT
eaes-1738	24	27	comorbidity	comorbidity	NOUN
eaes-1738	24	28	index	index	NOUN
eaes-1738	24	29	was	be	AUX
eaes-1738	24	30	an	an	DET
eaes-1738	24	31	extremely	extremely	ADV
eaes-1738	24	32	significant	significant	ADJ
eaes-1738	24	33	factor	factor	NOUN
eaes-1738	24	34	and	and	CCONJ
eaes-1738	24	35	has	have	VERB
eaes-1738	24	36	a	a	DET
eaes-1738	24	37	high	high	ADJ
eaes-1738	24	38	potential	potential	NOUN
eaes-1738	24	39	for	for	ADP
eaes-1738	24	40	further	further	ADJ
eaes-1738	24	41	improvement	improvement	NOUN
eaes-1738	24	42	.	.	PUNCT
eaes-1738	25	1	presently	presently	ADV
eaes-1738	25	2	,	,	PUNCT
eaes-1738	25	3	comorbidity	comorbidity	NOUN
eaes-1738	25	4	risk	risk	NOUN
eaes-1738	25	5	indices	index	NOUN
eaes-1738	25	6	have	have	VERB
eaes-1738	25	7	four	four	NUM
eaes-1738	25	8	major	major	ADJ
eaes-1738	25	9	weakness	weakness	NOUN
eaes-1738	25	10	areas	area	NOUN
eaes-1738	25	11	:	:	PUNCT
eaes-1738	25	12	robustness	robustness	NOUN
eaes-1738	25	13	,	,	PUNCT
eaes-1738	25	14	temporal	temporal	ADJ
eaes-1738	25	15	adjustment	adjustment	NOUN
eaes-1738	25	16	,	,	PUNCT
eaes-1738	25	17	population	population	NOUN
eaes-1738	25	18	stratification	stratification	NOUN
eaes-1738	25	19	,	,	PUNCT
eaes-1738	25	20	and	and	CCONJ
eaes-1738	25	21	the	the	DET
eaes-1738	25	22	inclusion	inclusion	NOUN
eaes-1738	25	23	of	of	ADP
eaes-1738	25	24	associated	associated	ADJ
eaes-1738	25	25	factors	factor	NOUN
eaes-1738	25	26	to	to	ADP
eaes-1738	25	27	comorbidities	comorbiditie	NOUN
eaes-1738	25	28	and	and	CCONJ
eaes-1738	25	29	complications	complication	NOUN
eaes-1738	25	30	.	.	PUNCT
eaes-1738	26	1	in	in	ADP
eaes-1738	26	2	this	this	DET
eaes-1738	26	3	research	research	NOUN
eaes-1738	26	4	,	,	PUNCT
eaes-1738	26	5	we	we	PRON
eaes-1738	26	6	are	be	AUX
eaes-1738	26	7	going	go	VERB
eaes-1738	26	8	to	to	PART
eaes-1738	26	9	improve	improve	VERB
eaes-1738	26	10	on	on	ADP
eaes-1738	26	11	these	these	DET
eaes-1738	26	12	four	four	NUM
eaes-1738	26	13	major	major	ADJ
eaes-1738	26	14	areas	area	NOUN
eaes-1738	26	15	.	.	PUNCT
eaes-1738	27	1	firstly	firstly	ADV
eaes-1738	27	2	,	,	PUNCT
eaes-1738	27	3	to	to	PART
eaes-1738	27	4	make	make	VERB
eaes-1738	27	5	the	the	DET
eaes-1738	27	6	risk	risk	NOUN
eaes-1738	27	7	score	score	VERB
eaes-1738	27	8	relevant	relevant	ADJ
eaes-1738	27	9	to	to	ADP
eaes-1738	27	10	different	different	ADJ
eaes-1738	27	11	environments	environment	NOUN
eaes-1738	27	12	,	,	PUNCT
eaes-1738	27	13	an	an	DET
eaes-1738	27	14	approach	approach	NOUN
eaes-1738	27	15	must	must	AUX
eaes-1738	27	16	be	be	AUX
eaes-1738	27	17	used	use	VERB
eaes-1738	27	18	to	to	PART
eaes-1738	27	19	model	model	VERB
eaes-1738	27	20	complex	complex	ADJ
eaes-1738	27	21	correlation	correlation	NOUN
eaes-1738	27	22	between	between	ADP
eaes-1738	27	23	variables	variable	NOUN
eaes-1738	27	24	and	and	CCONJ
eaes-1738	27	25	states	state	NOUN
eaes-1738	27	26	.	.	PUNCT
eaes-1738	28	1	secondly	secondly	ADV
eaes-1738	28	2	,	,	PUNCT
eaes-1738	28	3	to	to	PART
eaes-1738	28	4	better	well	ADV
eaes-1738	28	5	distinguish	distinguish	VERB
eaes-1738	28	6	the	the	DET
eaes-1738	28	7	shortand	shortand	NOUN
eaes-1738	28	8	long	long	ADJ
eaes-1738	28	9	-	-	PUNCT
eaes-1738	28	10	term	term	NOUN
eaes-1738	28	11	conditions	condition	NOUN
eaes-1738	28	12	(	(	PUNCT
eaes-1738	28	13	i.e.	i.e.	X
eaes-1738	28	14	prior	prior	ADJ
eaes-1738	28	15	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	28	16	energy	energy	NOUN
eaes-1738	28	17	and	and	CCONJ
eaes-1738	28	18	earth	earth	NOUN
eaes-1738	28	19	science	science	NOUN
eaes-1738	28	20	vol	vol	NOUN
eaes-1738	28	21	.	.	PROPN
eaes-1738	29	1	1	1	NUM
eaes-1738	29	2	,	,	PUNCT
eaes-1738	29	3	no	no	INTJ
eaes-1738	29	4	.	.	NOUN
eaes-1738	29	5	1	1	NUM
eaes-1738	29	6	,	,	PUNCT
eaes-1738	29	7	2018	2018	NUM
eaes-1738	29	8	44	44	NUM
eaes-1738	29	9	published	publish	VERB
eaes-1738	29	10	by	by	ADP
eaes-1738	29	11	scholink	scholink	PROPN
eaes-1738	29	12	inc	inc	PROPN
eaes-1738	29	13	.	.	PROPN
eaes-1738	29	14	admission	admission	NOUN
eaes-1738	29	15	,	,	PUNCT
eaes-1738	29	16	length	length	NOUN
eaes-1738	29	17	-	-	PUNCT
eaes-1738	29	18	of	of	ADP
eaes-1738	29	19	-	-	PUNCT
eaes-1738	29	20	stay	stay	NOUN
eaes-1738	29	21	,	,	PUNCT
eaes-1738	29	22	and	and	CCONJ
eaes-1738	29	23	delta	delta	NOUN
eaes-1738	29	24	-	-	PUNCT
eaes-1738	29	25	time	time	NOUN
eaes-1738	29	26	between	between	ADP
eaes-1738	29	27	admissions	admission	NOUN
eaes-1738	29	28	)	)	PUNCT
eaes-1738	29	29	,	,	PUNCT
eaes-1738	29	30	the	the	DET
eaes-1738	29	31	temporal	temporal	ADJ
eaes-1738	29	32	dimension	dimension	NOUN
eaes-1738	29	33	may	may	AUX
eaes-1738	29	34	be	be	AUX
eaes-1738	29	35	included	include	VERB
eaes-1738	29	36	in	in	ADP
eaes-1738	29	37	form	form	NOUN
eaes-1738	29	38	of	of	ADP
eaes-1738	29	39	life	life	NOUN
eaes-1738	29	40	-	-	PUNCT
eaes-1738	29	41	table	table	NOUN
eaes-1738	29	42	or	or	CCONJ
eaes-1738	29	43	a	a	DET
eaes-1738	29	44	polynomial	polynomial	ADJ
eaes-1738	29	45	weight	weight	NOUN
eaes-1738	29	46	function	function	NOUN
eaes-1738	29	47	.	.	PUNCT
eaes-1738	30	1	thirdly	thirdly	ADV
eaes-1738	30	2	,	,	PUNCT
eaes-1738	30	3	population	population	NOUN
eaes-1738	30	4	stratification	stratification	NOUN
eaes-1738	30	5	is	be	AUX
eaes-1738	30	6	a	a	DET
eaes-1738	30	7	major	major	ADJ
eaes-1738	30	8	factor	factor	NOUN
eaes-1738	30	9	in	in	ADP
eaes-1738	30	10	the	the	DET
eaes-1738	30	11	prevalence	prevalence	NOUN
eaes-1738	30	12	of	of	ADP
eaes-1738	30	13	medical	medical	ADJ
eaes-1738	30	14	conditions	condition	NOUN
eaes-1738	30	15	,	,	PUNCT
eaes-1738	30	16	and	and	CCONJ
eaes-1738	30	17	therefore	therefore	ADV
eaes-1738	30	18	must	must	AUX
eaes-1738	30	19	be	be	AUX
eaes-1738	30	20	adjusted	adjust	VERB
eaes-1738	30	21	.	.	PUNCT
eaes-1738	31	1	fourthly	fourthly	ADV
eaes-1738	31	2	,	,	PUNCT
eaes-1738	31	3	major	major	ADJ
eaes-1738	31	4	correlated	correlate	VERB
eaes-1738	31	5	factors	factor	NOUN
eaes-1738	31	6	to	to	ADP
eaes-1738	31	7	diagnoses	diagnosis	NOUN
eaes-1738	31	8	may	may	AUX
eaes-1738	31	9	be	be	AUX
eaes-1738	31	10	included	include	VERB
eaes-1738	31	11	directly	directly	ADV
eaes-1738	31	12	or	or	CCONJ
eaes-1738	31	13	indirectly	indirectly	ADV
eaes-1738	31	14	(	(	PUNCT
eaes-1738	31	15	latent	latent	NOUN
eaes-1738	31	16	)	)	PUNCT
eaes-1738	31	17	to	to	PART
eaes-1738	31	18	improve	improve	VERB
eaes-1738	31	19	the	the	DET
eaes-1738	31	20	risk	risk	NOUN
eaes-1738	31	21	estimates	estimate	NOUN
eaes-1738	31	22	,	,	PUNCT
eaes-1738	31	23	including	include	VERB
eaes-1738	31	24	secondary	secondary	ADJ
eaes-1738	31	25	diagnoses	diagnosis	NOUN
eaes-1738	31	26	,	,	PUNCT
eaes-1738	31	27	operations	operation	NOUN
eaes-1738	31	28	,	,	PUNCT
eaes-1738	31	29	procedures	procedure	NOUN
eaes-1738	31	30	and	and	CCONJ
eaes-1738	31	31	complications	complication	NOUN
eaes-1738	31	32	.	.	PUNCT
eaes-1738	32	1	the	the	DET
eaes-1738	32	2	first	first	ADJ
eaes-1738	32	3	main	main	ADJ
eaes-1738	32	4	outcome	outcome	NOUN
eaes-1738	32	5	of	of	ADP
eaes-1738	32	6	this	this	DET
eaes-1738	32	7	research	research	NOUN
eaes-1738	32	8	was	be	AUX
eaes-1738	32	9	the	the	DET
eaes-1738	32	10	development	development	NOUN
eaes-1738	32	11	of	of	ADP
eaes-1738	32	12	the	the	DET
eaes-1738	32	13	temporal	temporal	ADJ
eaes-1738	32	14	comorbidity	comorbidity	NOUN
eaes-1738	32	15	adjusted	adjust	VERB
eaes-1738	32	16	risk	risk	NOUN
eaes-1738	32	17	of	of	ADP
eaes-1738	32	18	emergency	emergency	NOUN
eaes-1738	32	19	readmission	readmission	NOUN
eaes-1738	32	20	(	(	PUNCT
eaes-1738	32	21	t	t	NOUN
eaes-1738	32	22	-	-	PUNCT
eaes-1738	32	23	carer	carer	NOUN
eaes-1738	32	24	)	)	PUNCT
eaes-1738	32	25	,	,	PUNCT
eaes-1738	32	26	to	to	PART
eaes-1738	32	27	address	address	VERB
eaes-1738	32	28	the	the	DET
eaes-1738	32	29	four	four	NUM
eaes-1738	32	30	mentioned	mention	VERB
eaes-1738	32	31	issues	issue	NOUN
eaes-1738	32	32	.	.	PUNCT
eaes-1738	33	1	the	the	DET
eaes-1738	33	2	secondary	secondary	ADJ
eaes-1738	33	3	outcome	outcome	NOUN
eaes-1738	33	4	was	be	AUX
eaes-1738	33	5	to	to	PART
eaes-1738	33	6	release	release	VERB
eaes-1738	33	7	a	a	DET
eaes-1738	33	8	generic	generic	ADJ
eaes-1738	33	9	,	,	PUNCT
eaes-1738	33	10	open	open	ADJ
eaes-1738	33	11	source	source	NOUN
eaes-1738	33	12	and	and	CCONJ
eaes-1738	33	13	easy	easy	ADJ
eaes-1738	33	14	-	-	PUNCT
eaes-1738	33	15	to	to	ADP
eaes-1738	33	16	-	-	PUNCT
eaes-1738	33	17	use	use	VERB
eaes-1738	33	18	environment	environment	NOUN
eaes-1738	33	19	to	to	PART
eaes-1738	33	20	model	model	VERB
eaes-1738	33	21	the	the	DET
eaes-1738	33	22	comorbidity	comorbidity	NOUN
eaes-1738	33	23	risk	risk	NOUN
eaes-1738	33	24	.	.	PUNCT
eaes-1738	34	1	it	it	PRON
eaes-1738	34	2	consists	consist	VERB
eaes-1738	34	3	of	of	ADP
eaes-1738	34	4	a	a	DET
eaes-1738	34	5	user	user	NOUN
eaes-1738	34	6	-	-	PUNCT
eaes-1738	34	7	friendly	friendly	ADJ
eaes-1738	34	8	ipython	ipython	NOUN
eaes-1738	34	9	notebook	notebook	NOUN
eaes-1738	34	10	,	,	PUNCT
eaes-1738	34	11	which	which	PRON
eaes-1738	34	12	calls	call	VERB
eaes-1738	34	13	procedures	procedure	NOUN
eaes-1738	34	14	in	in	ADP
eaes-1738	34	15	mysql	mysql	NOUN
eaes-1738	34	16	and	and	CCONJ
eaes-1738	34	17	python	python	NOUN
eaes-1738	34	18	,	,	PUNCT
eaes-1738	34	19	in	in	ADP
eaes-1738	34	20	addition	addition	NOUN
eaes-1738	34	21	to	to	ADP
eaes-1738	34	22	third	third	ADJ
eaes-1738	34	23	-	-	PUNCT
eaes-1738	34	24	party	party	NOUN
eaes-1738	34	25	libraries	library	NOUN
eaes-1738	34	26	.	.	PUNCT
eaes-1738	35	1	the	the	DET
eaes-1738	35	2	t	t	PROPN
eaes-1738	35	3	-	-	PUNCT
eaes-1738	35	4	carer	carer	NOUN
eaes-1738	35	5	toolkit	toolkit	NOUN
eaes-1738	35	6	and	and	CCONJ
eaes-1738	35	7	documentation	documentation	NOUN
eaes-1738	35	8	are	be	AUX
eaes-1738	35	9	available	available	ADJ
eaes-1738	35	10	online	online	ADV
eaes-1738	35	11	(	(	PUNCT
eaes-1738	35	12	apache	apache	NOUN
eaes-1738	35	13	2016	2016	NUM
eaes-1738	35	14	)	)	PUNCT
eaes-1738	35	15	.	.	PUNCT
eaes-1738	36	1	furthermore	furthermore	ADV
eaes-1738	36	2	,	,	PUNCT
eaes-1738	36	3	comorbidity	comorbidity	NOUN
eaes-1738	36	4	risk	risk	NOUN
eaes-1738	36	5	models	model	NOUN
eaes-1738	36	6	are	be	AUX
eaes-1738	36	7	constrained	constrain	VERB
eaes-1738	36	8	by	by	ADP
eaes-1738	36	9	the	the	DET
eaes-1738	36	10	population	population	NOUN
eaes-1738	36	11	and	and	CCONJ
eaes-1738	36	12	sam	sam	PROPN
eaes-1738	36	13	ple	ple	PROPN
eaes-1738	36	14	characteristics	characteristic	NOUN
eaes-1738	36	15	,	,	PUNCT
eaes-1738	36	16	data	datum	NOUN
eaes-1738	36	17	quality	quality	NOUN
eaes-1738	36	18	(	(	PUNCT
eaes-1738	36	19	e.g.	e.g.	ADV
eaes-1738	36	20	missing	miss	VERB
eaes-1738	36	21	diagnoses	diagnosis	NOUN
eaes-1738	36	22	or	or	CCONJ
eaes-1738	36	23	delayed	delay	VERB
eaes-1738	36	24	death	death	NOUN
eaes-1738	36	25	registration	registration	NOUN
eaes-1738	36	26	)	)	PUNCT
eaes-1738	36	27	and	and	CCONJ
eaes-1738	36	28	modelling	model	VERB
eaes-1738	36	29	approach	approach	NOUN
eaes-1738	36	30	.	.	PUNCT
eaes-1738	37	1	there	there	PRON
eaes-1738	37	2	is	be	VERB
eaes-1738	37	3	a	a	DET
eaes-1738	37	4	wide	wide	ADJ
eaes-1738	37	5	range	range	NOUN
eaes-1738	37	6	of	of	ADP
eaes-1738	37	7	literature	literature	NOUN
eaes-1738	37	8	that	that	PRON
eaes-1738	37	9	focuses	focus	VERB
eaes-1738	37	10	on	on	ADP
eaes-1738	37	11	modification	modification	NOUN
eaes-1738	37	12	and	and	CCONJ
eaes-1738	37	13	benchmarking	benchmarke	VERB
eaes-1738	37	14	comorbidity	comorbidity	NOUN
eaes-1738	37	15	indices	index	NOUN
eaes-1738	37	16	,	,	PUNCT
eaes-1738	37	17	using	use	VERB
eaes-1738	37	18	different	different	ADJ
eaes-1738	37	19	datasets	dataset	NOUN
eaes-1738	37	20	,	,	PUNCT
eaes-1738	37	21	cohorts	cohort	NOUN
eaes-1738	37	22	,	,	PUNCT
eaes-1738	37	23	complexity	complexity	NOUN
eaes-1738	37	24	,	,	PUNCT
eaes-1738	37	25	length	length	NOUN
eaes-1738	37	26	-	-	PUNCT
eaes-1738	37	27	of	of	ADP
eaes-1738	37	28	-	-	PUNCT
eaes-1738	37	29	stay	stay	NOUN
eaes-1738	37	30	and	and	CCONJ
eaes-1738	37	31	claims	claim	VERB
eaes-1738	37	32	.	.	PUNCT
eaes-1738	38	1	the	the	DET
eaes-1738	38	2	prediction	prediction	NOUN
eaes-1738	38	3	targets	target	NOUN
eaes-1738	38	4	vary	vary	VERB
eaes-1738	38	5	,	,	PUNCT
eaes-1738	38	6	it	it	PRON
eaes-1738	38	7	includes	include	VERB
eaes-1738	38	8	in	in	ADP
eaes-1738	38	9	-	-	PUNCT
eaes-1738	38	10	hospital	hospital	NOUN
eaes-1738	38	11	and	and	CCONJ
eaes-1738	38	12	1	1	NUM
eaes-1738	38	13	-	-	PUNCT
eaes-1738	38	14	year	year	NOUN
eaes-1738	38	15	mortality	mortality	NOUN
eaes-1738	38	16	,	,	PUNCT
eaes-1738	38	17	and	and	CCONJ
eaes-1738	38	18	in	in	ADP
eaes-1738	38	19	some	some	DET
eaes-1738	38	20	cases	case	NOUN
eaes-1738	38	21	7	7	NUM
eaes-1738	38	22	-	-	PUNCT
eaes-1738	38	23	day	day	NOUN
eaes-1738	38	24	and	and	CCONJ
eaes-1738	38	25	30	30	NUM
eaes-1738	38	26	-	-	PUNCT
eaes-1738	38	27	day	day	NOUN
eaes-1738	38	28	readmission	readmission	NOUN
eaes-1738	38	29	(	(	PUNCT
eaes-1738	38	30	austin	austin	PROPN
eaes-1738	38	31	,	,	PUNCT
eaes-1738	38	32	stanbrook	stanbrook	NOUN
eaes-1738	38	33	,	,	PUNCT
eaes-1738	38	34	anderson	anderson	PROPN
eaes-1738	38	35	,	,	PUNCT
eaes-1738	38	36	newman	newman	PROPN
eaes-1738	38	37	,	,	PUNCT
eaes-1738	38	38	&	&	CCONJ
eaes-1738	38	39	gershon	gershon	PROPN
eaes-1738	38	40	,	,	PUNCT
eaes-1738	38	41	2012	2012	NUM
eaes-1738	38	42	;	;	PUNCT
eaes-1738	38	43	holman	holman	PROPN
eaes-1738	38	44	,	,	PUNCT
eaes-1738	38	45	preen	preen	PROPN
eaes-1738	38	46	,	,	PUNCT
eaes-1738	38	47	baynham	baynham	PROPN
eaes-1738	38	48	,	,	PUNCT
eaes-1738	38	49	finn	finn	PROPN
eaes-1738	38	50	,	,	PUNCT
eaes-1738	38	51	&	&	CCONJ
eaes-1738	38	52	semmens	semmen	NOUN
eaes-1738	38	53	,	,	PUNCT
eaes-1738	38	54	2005	2005	NUM
eaes-1738	38	55	;	;	PUNCT
eaes-1738	38	56	gagne	gagne	PROPN
eaes-1738	38	57	,	,	PUNCT
eaes-1738	38	58	glynn	glynn	PROPN
eaes-1738	38	59	,	,	PUNCT
eaes-1738	38	60	avorn	avorn	PROPN
eaes-1738	38	61	,	,	PUNCT
eaes-1738	38	62	levin	levin	PROPN
eaes-1738	38	63	,	,	PUNCT
eaes-1738	38	64	&	&	CCONJ
eaes-1738	38	65	schneeweiss	schneeweiss	PROPN
eaes-1738	38	66	,	,	PUNCT
eaes-1738	38	67	2011	2011	NUM
eaes-1738	38	68	;	;	PUNCT
eaes-1738	38	69	mehta	mehta	PROPN
eaes-1738	38	70	,	,	PUNCT
eaes-1738	38	71	dimou	dimou	ADJ
eaes-1738	38	72	,	,	PUNCT
eaes-1738	38	73	adhikari	adhikari	PROPN
eaes-1738	38	74	,	,	PUNCT
eaes-1738	38	75	tamirisa	tamirisa	NOUN
eaes-1738	38	76	,	,	PUNCT
eaes-1738	38	77	sieloff	sieloff	NOUN
eaes-1738	38	78	,	,	PUNCT
eaes-1738	38	79	williams	williams	PROPN
eaes-1738	38	80	,	,	PUNCT
eaes-1738	38	81	kuo	kuo	PROPN
eaes-1738	38	82	,	,	PUNCT
eaes-1738	38	83	&	&	CCONJ
eaes-1738	38	84	riall	riall	PROPN
eaes-1738	38	85	,	,	PUNCT
eaes-1738	38	86	2016	2016	NUM
eaes-1738	38	87	;	;	PUNCT
eaes-1738	38	88	sharabiani	sharabiani	PROPN
eaes-1738	38	89	,	,	PUNCT
eaes-1738	38	90	aylin	aylin	PROPN
eaes-1738	38	91	,	,	PUNCT
eaes-1738	38	92	&	&	CCONJ
eaes-1738	38	93	bottle	bottle	NOUN
eaes-1738	38	94	,	,	PUNCT
eaes-1738	38	95	2012	2012	NUM
eaes-1738	38	96	;	;	PUNCT
eaes-1738	38	97	januel	januel	PROPN
eaes-1738	38	98	luthi	luthi	PROPN
eaes-1738	38	99	,	,	PUNCT
eaes-1738	38	100	quan	quan	PROPN
eaes-1738	38	101	,	,	PUNCT
eaes-1738	38	102	borst	borst	PROPN
eaes-1738	38	103	,	,	PUNCT
eaes-1738	38	104	taff’e	taff’e	NOUN
eaes-1738	38	105	,	,	PUNCT
eaes-1738	38	106	ghali	ghali	PROPN
eaes-1738	38	107	&	&	CCONJ
eaes-1738	38	108	burnand	burnand	PROPN
eaes-1738	38	109	,	,	PUNCT
eaes-1738	38	110	2011	2011	NUM
eaes-1738	38	111	)	)	PUNCT
eaes-1738	38	112	.	.	PUNCT
eaes-1738	39	1	moreover	moreover	ADV
eaes-1738	39	2	,	,	PUNCT
eaes-1738	39	3	there	there	PRON
eaes-1738	39	4	have	have	AUX
eaes-1738	39	5	been	be	AUX
eaes-1738	39	6	many	many	ADJ
eaes-1738	39	7	attempts	attempt	NOUN
eaes-1738	39	8	at	at	ADP
eaes-1738	39	9	scoring	score	VERB
eaes-1738	39	10	sur	sur	PROPN
eaes-1738	39	11	gical	gical	ADJ
eaes-1738	39	12	outcome	outcome	NOUN
eaes-1738	39	13	and	and	CCONJ
eaes-1738	39	14	complications	complication	NOUN
eaes-1738	39	15	that	that	PRON
eaes-1738	39	16	are	be	AUX
eaes-1738	39	17	affected	affect	VERB
eaes-1738	39	18	by	by	ADP
eaes-1738	39	19	comorbidity	comorbidity	NOUN
eaes-1738	39	20	(	(	PUNCT
eaes-1738	39	21	mehta	mehta	PROPN
eaes-1738	39	22	,	,	PUNCT
eaes-1738	39	23	dimou	dimou	ADJ
eaes-1738	39	24	,	,	PUNCT
eaes-1738	39	25	adhikari	adhikari	PROPN
eaes-1738	39	26	,	,	PUNCT
eaes-1738	39	27	tamirisa	tamirisa	NOUN
eaes-1738	39	28	,	,	PUNCT
eaes-1738	39	29	sieloff	sieloff	NOUN
eaes-1738	39	30	,	,	PUNCT
eaes-1738	39	31	williams	williams	PROPN
eaes-1738	39	32	,	,	PUNCT
eaes-1738	39	33	kuo	kuo	PROPN
eaes-1738	39	34	,	,	PUNCT
eaes-1738	39	35	&	&	CCONJ
eaes-1738	39	36	riall	riall	PROPN
eaes-1738	39	37	,	,	PUNCT
eaes-1738	39	38	2016	2016	NUM
eaes-1738	39	39	;	;	PUNCT
eaes-1738	39	40	armitage	armitage	PROPN
eaes-1738	39	41	&	&	CCONJ
eaes-1738	39	42	meulen	meulen	PROPN
eaes-1738	39	43	,	,	PUNCT
eaes-1738	39	44	2010	2010	NUM
eaes-1738	39	45	;	;	PUNCT
eaes-1738	39	46	dfi	dfi	PROPN
eaes-1738	39	47	,	,	PUNCT
eaes-1738	39	48	2013	2013	NUM
eaes-1738	39	49	)	)	PUNCT
eaes-1738	39	50	.	.	PUNCT
eaes-1738	40	1	however	however	ADV
eaes-1738	40	2	,	,	PUNCT
eaes-1738	40	3	they	they	PRON
eaes-1738	40	4	are	be	AUX
eaes-1738	40	5	mainly	mainly	ADV
eaes-1738	40	6	based	base	VERB
eaes-1738	40	7	on	on	ADP
eaes-1738	40	8	non	non	ADJ
eaes-1738	40	9	-	-	ADJ
eaes-1738	40	10	administrative	administrative	ADJ
eaes-1738	40	11	clinical	clinical	ADJ
eaes-1738	40	12	variables	variable	NOUN
eaes-1738	40	13	or	or	CCONJ
eaes-1738	40	14	are	be	AUX
eaes-1738	40	15	specialized	specialize	VERB
eaes-1738	40	16	to	to	ADP
eaes-1738	40	17	very	very	ADV
eaes-1738	40	18	specific	specific	ADJ
eaes-1738	40	19	outcomes	outcome	NOUN
eaes-1738	40	20	and	and	CCONJ
eaes-1738	40	21	populations	population	NOUN
eaes-1738	40	22	.	.	PUNCT
eaes-1738	41	1	2	2	X
eaes-1738	41	2	.	.	X
eaes-1738	41	3	methodology	methodology	NOUN
eaes-1738	41	4	2.1	2.1	NUM
eaes-1738	41	5	data	datum	NOUN
eaes-1738	41	6	in	in	ADP
eaes-1738	41	7	this	this	DET
eaes-1738	41	8	study	study	NOUN
eaes-1738	41	9	,	,	PUNCT
eaes-1738	41	10	a	a	DET
eaes-1738	41	11	bespoke	bespoke	ADJ
eaes-1738	41	12	extract	extract	NOUN
eaes-1738	41	13	of	of	ADP
eaes-1738	41	14	the	the	DET
eaes-1738	41	15	he	he	PRON
eaes-1738	41	16	s	s	PROPN
eaes-1738	41	17	inpatient	inpatient	NOUN
eaes-1738	41	18	data	datum	NOUN
eaes-1738	41	19	was	be	AUX
eaes-1738	41	20	used	use	VERB
eaes-1738	41	21	,	,	PUNCT
eaes-1738	41	22	which	which	PRON
eaes-1738	41	23	contains	contain	VERB
eaes-1738	41	24	records	record	NOUN
eaes-1738	41	25	from	from	ADP
eaes-1738	41	26	april	april	PROPN
eaes-1738	41	27	1995	1995	NUM
eaes-1738	41	28	to	to	ADP
eaes-1738	41	29	april	april	PROPN
eaes-1738	41	30	2010	2010	NUM
eaes-1738	41	31	.	.	PUNCT
eaes-1738	42	1	two	two	NUM
eaes-1738	42	2	main	main	ADJ
eaes-1738	42	3	samples	sample	NOUN
eaes-1738	42	4	were	be	AUX
eaes-1738	42	5	randomly	randomly	ADV
eaes-1738	42	6	selected	select	VERB
eaes-1738	42	7	from	from	ADP
eaes-1738	42	8	this	this	DET
eaes-1738	42	9	database	database	NOUN
eaes-1738	42	10	,	,	PUNCT
eaes-1738	42	11	which	which	PRON
eaes-1738	42	12	includes	include	VERB
eaes-1738	42	13	20	20	NUM
eaes-1738	42	14	%	%	NOUN
eaes-1738	42	15	of	of	ADP
eaes-1738	42	16	total	total	ADJ
eaes-1738	42	17	unique	unique	ADJ
eaes-1738	42	18	patients	patient	NOUN
eaes-1738	42	19	from	from	ADP
eaes-1738	42	20	1999	1999	NUM
eaes-1738	42	21	-	-	SYM
eaes-1738	42	22	2004	2004	NUM
eaes-1738	42	23	and	and	CCONJ
eaes-1738	42	24	2004	2004	NUM
eaes-1738	42	25	-	-	SYM
eaes-1738	42	26	2009	2009	NUM
eaes-1738	42	27	periods	period	NOUN
eaes-1738	42	28	.	.	PUNCT
eaes-1738	43	1	then	then	ADV
eaes-1738	43	2	,	,	PUNCT
eaes-1738	43	3	each	each	DET
eaes-1738	43	4	main	main	ADJ
eaes-1738	43	5	sample	sample	NOUN
eaes-1738	43	6	was	be	AUX
eaes-1738	43	7	divided	divide	VERB
eaes-1738	43	8	into	into	ADP
eaes-1738	43	9	two	two	NUM
eaes-1738	43	10	equal	equal	ADJ
eaes-1738	43	11	half	half	NOUN
eaes-1738	43	12	,	,	PUNCT
eaes-1738	43	13	to	to	PART
eaes-1738	43	14	be	be	AUX
eaes-1738	43	15	used	use	VERB
eaes-1738	43	16	for	for	ADP
eaes-1738	43	17	training	training	NOUN
eaes-1738	43	18	and	and	CCONJ
eaes-1738	43	19	testing	testing	NOUN
eaes-1738	43	20	.	.	PUNCT
eaes-1738	44	1	each	each	DET
eaes-1738	44	2	time	time	NOUN
eaes-1738	44	3	-	-	PUNCT
eaes-1738	44	4	frame	frame	NOUN
eaes-1738	44	5	was	be	AUX
eaes-1738	44	6	divided	divide	VERB
eaes-1738	44	7	into	into	ADP
eaes-1738	44	8	one	one	NUM
eaes-1738	44	9	year	year	NOUN
eaes-1738	44	10	of	of	ADP
eaes-1738	44	11	trigger	trigger	NOUN
eaes-1738	44	12	-	-	PUNCT
eaes-1738	44	13	event	event	NOUN
eaes-1738	44	14	,	,	PUNCT
eaes-1738	44	15	one	one	NUM
eaes-1738	44	16	year	year	NOUN
eaes-1738	44	17	of	of	ADP
eaes-1738	44	18	prediction	prediction	NOUN
eaes-1738	44	19	period	period	NOUN
eaes-1738	44	20	,	,	PUNCT
eaes-1738	44	21	and	and	CCONJ
eaes-1738	44	22	three	three	NUM
eaes-1738	44	23	years	year	NOUN
eaes-1738	44	24	of	of	ADP
eaes-1738	44	25	prior	prior	ADJ
eaes-1738	44	26	-	-	PUNCT
eaes-1738	44	27	history	history	NOUN
eaes-1738	44	28	.	.	PUNCT
eaes-1738	45	1	the	the	DET
eaes-1738	45	2	population	population	NOUN
eaes-1738	45	3	includes	include	VERB
eaes-1738	45	4	all	all	DET
eaes-1738	45	5	alive	alive	ADJ
eaes-1738	45	6	patients	patient	NOUN
eaes-1738	45	7	greater	great	ADJ
eaes-1738	45	8	than	than	ADP
eaes-1738	45	9	one	one	NUM
eaes-1738	45	10	-	-	PUNCT
eaes-1738	45	11	year	year	NOUN
eaes-1738	45	12	-	-	PUNCT
eaes-1738	45	13	old	old	ADJ
eaes-1738	45	14	that	that	PRON
eaes-1738	45	15	have	have	VERB
eaes-1738	45	16	an	an	DET
eaes-1738	45	17	admission	admission	NOUN
eaes-1738	45	18	within	within	ADP
eaes-1738	45	19	the	the	DET
eaes-1738	45	20	trigger	trigger	NOUN
eaes-1738	45	21	year	year	NOUN
eaes-1738	45	22	.	.	PUNCT
eaes-1738	46	1	the	the	DET
eaes-1738	46	2	prediction	prediction	NOUN
eaes-1738	46	3	target	target	NOUN
eaes-1738	46	4	variables	variable	NOUN
eaes-1738	46	5	are	be	AUX
eaes-1738	46	6	30and	30and	NUM
eaes-1738	46	7	365	365	NUM
eaes-1738	46	8	-	-	PUNCT
eaes-1738	46	9	day	day	NOUN
eaes-1738	46	10	hospital	hospital	NOUN
eaes-1738	46	11	emergency	emergency	NOUN
eaes-1738	46	12	admission	admission	NOUN
eaes-1738	46	13	to	to	ADP
eaes-1738	46	14	the	the	DET
eaes-1738	46	15	inpatient	inpatient	NOUN
eaes-1738	46	16	.	.	PUNCT
eaes-1738	47	1	2.2	2.2	NUM
eaes-1738	47	2	features	feature	NOUN
eaes-1738	47	3	after	after	ADP
eaes-1738	47	4	the	the	DET
eaes-1738	47	5	data	data	NOUN
eaes-1738	47	6	extraction	extraction	NOUN
eaes-1738	47	7	step	step	NOUN
eaes-1738	47	8	,	,	PUNCT
eaes-1738	47	9	several	several	ADJ
eaes-1738	47	10	stages	stage	NOUN
eaes-1738	47	11	of	of	ADP
eaes-1738	47	12	data	datum	NOUN
eaes-1738	47	13	pre	pre	ADJ
eaes-1738	47	14	-	-	ADJ
eaes-1738	47	15	processing	processing	ADJ
eaes-1738	47	16	and	and	CCONJ
eaes-1738	47	17	feature	feature	NOUN
eaes-1738	47	18	selection	selection	NOUN
eaes-1738	47	19	were	be	AUX
eaes-1738	47	20	carried	carry	VERB
eaes-1738	47	21	out	out	ADP
eaes-1738	47	22	using	use	VERB
eaes-1738	47	23	the	the	DET
eaes-1738	47	24	framework	framework	NOUN
eaes-1738	47	25	introduced	introduce	VERB
eaes-1738	47	26	by	by	ADP
eaes-1738	47	27	mesgarpour	mesgarpour	PROPN
eaes-1738	47	28	et	et	PROPN
eaes-1738	47	29	al	al	PROPN
eaes-1738	47	30	.	.	PUNCT
eaes-1738	48	1	(	(	PUNCT
eaes-1738	48	2	2016	2016	NUM
eaes-1738	48	3	)	)	PUNCT
eaes-1738	48	4	.	.	PUNCT
eaes-1738	49	1	firstly	firstly	ADV
eaes-1738	49	2	,	,	PUNCT
eaes-1738	49	3	a	a	DET
eaes-1738	49	4	set	set	NOUN
eaes-1738	49	5	of	of	ADP
eaes-1738	49	6	data	datum	NOUN
eaes-1738	49	7	pre	pre	ADJ
eaes-1738	49	8	-	-	ADJ
eaes-1738	49	9	processing	processing	ADJ
eaes-1738	49	10	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	49	11	energy	energy	NOUN
eaes-1738	49	12	and	and	CCONJ
eaes-1738	49	13	earth	earth	NOUN
eaes-1738	49	14	science	science	NOUN
eaes-1738	49	15	vol	vol	NOUN
eaes-1738	49	16	.	.	PROPN
eaes-1738	50	1	1	1	NUM
eaes-1738	50	2	,	,	PUNCT
eaes-1738	50	3	no	no	INTJ
eaes-1738	50	4	.	.	NOUN
eaes-1738	50	5	1	1	NUM
eaes-1738	50	6	,	,	PUNCT
eaes-1738	50	7	2018	2018	NUM
eaes-1738	50	8	45	45	NUM
eaes-1738	50	9	published	publish	VERB
eaes-1738	50	10	by	by	ADP
eaes-1738	50	11	scholink	scholink	PROPN
eaes-1738	50	12	inc	inc	PROPN
eaes-1738	50	13	.	.	PROPN
eaes-1738	50	14	steps	step	NOUN
eaes-1738	50	15	are	be	AUX
eaes-1738	50	16	applied	apply	VERB
eaes-1738	50	17	,	,	PUNCT
eaes-1738	50	18	then	then	ADV
eaes-1738	50	19	the	the	DET
eaes-1738	50	20	feature	feature	NOUN
eaes-1738	50	21	selection	selection	NOUN
eaes-1738	50	22	steps	step	NOUN
eaes-1738	50	23	are	be	AUX
eaes-1738	50	24	carried	carry	VERB
eaes-1738	50	25	out	out	ADP
eaes-1738	50	26	.	.	PUNCT
eaes-1738	51	1	also	also	ADV
eaes-1738	51	2	,	,	PUNCT
eaes-1738	51	3	before	before	ADP
eaes-1738	51	4	carrying	carry	VERB
eaes-1738	51	5	out	out	ADP
eaes-1738	51	6	the	the	DET
eaes-1738	51	7	feature	feature	NOUN
eaes-1738	51	8	selection	selection	NOUN
eaes-1738	51	9	steps	step	NOUN
eaes-1738	51	10	,	,	PUNCT
eaes-1738	51	11	features	feature	NOUN
eaes-1738	51	12	are	be	AUX
eaes-1738	51	13	aggregated	aggregate	VERB
eaes-1738	51	14	and	and	CCONJ
eaes-1738	51	15	split	split	VERB
eaes-1738	51	16	into	into	ADP
eaes-1738	51	17	temporal	temporal	ADJ
eaes-1738	51	18	events	event	NOUN
eaes-1738	51	19	,	,	PUNCT
eaes-1738	51	20	to	to	PART
eaes-1738	51	21	capture	capture	VERB
eaes-1738	51	22	the	the	DET
eaes-1738	51	23	events	event	NOUN
eaes-1738	51	24	through	through	ADP
eaes-1738	51	25	time	time	NOUN
eaes-1738	51	26	.	.	PUNCT
eaes-1738	52	1	2.2.1	2.2.1	NUM
eaes-1738	52	2	pre	pre	ADJ
eaes-1738	52	3	-	-	ADJ
eaes-1738	52	4	processing	process	VERB
eaes-1738	52	5	the	the	DET
eaes-1738	52	6	pre	pre	ADJ
eaes-1738	52	7	-	-	ADJ
eaes-1738	52	8	processing	processing	ADJ
eaes-1738	52	9	stage	stage	NOUN
eaes-1738	52	10	implements	implement	VERB
eaes-1738	52	11	data	datum	NOUN
eaes-1738	52	12	selection	selection	NOUN
eaes-1738	52	13	,	,	PUNCT
eaes-1738	52	14	removals	removal	NOUN
eaes-1738	52	15	of	of	ADP
eaes-1738	52	16	invalids	invalid	NOUN
eaes-1738	52	17	and	and	CCONJ
eaes-1738	52	18	imputations	imputation	NOUN
eaes-1738	52	19	of	of	ADP
eaes-1738	52	20	observations	observation	NOUN
eaes-1738	52	21	.	.	PUNCT
eaes-1738	53	1	also	also	ADV
eaes-1738	53	2	,	,	PUNCT
eaes-1738	53	3	the	the	DET
eaes-1738	53	4	feature	feature	NOUN
eaes-1738	53	5	re	re	NOUN
eaes-1738	53	6	-	-	NOUN
eaes-1738	53	7	categorisation	categorisation	NOUN
eaes-1738	53	8	was	be	AUX
eaes-1738	53	9	applied	apply	VERB
eaes-1738	53	10	in	in	ADP
eaes-1738	53	11	this	this	DET
eaes-1738	53	12	stage	stage	NOUN
eaes-1738	53	13	,	,	PUNCT
eaes-1738	53	14	to	to	PART
eaes-1738	53	15	reduce	reduce	VERB
eaes-1738	53	16	sparsity	sparsity	NOUN
eaes-1738	53	17	and	and	CCONJ
eaes-1738	53	18	to	to	PART
eaes-1738	53	19	better	well	ADV
eaes-1738	53	20	capture	capture	VERB
eaes-1738	53	21	non	non	ADJ
eaes-1738	53	22	-	-	ADJ
eaes-1738	53	23	linear	linear	ADJ
eaes-1738	53	24	relationships	relationship	NOUN
eaes-1738	53	25	.	.	PUNCT
eaes-1738	54	1	in	in	ADP
eaes-1738	54	2	re	re	NOUN
eaes-1738	54	3	-	-	NOUN
eaes-1738	54	4	categorisation	categorisation	NOUN
eaes-1738	54	5	step	step	NOUN
eaes-1738	54	6	,	,	PUNCT
eaes-1738	54	7	a	a	DET
eaes-1738	54	8	clinical	clinical	ADJ
eaes-1738	54	9	grouper	grouper	NOUN
eaes-1738	54	10	,	,	PUNCT
eaes-1738	54	11	known	know	VERB
eaes-1738	54	12	as	as	ADP
eaes-1738	54	13	the	the	DET
eaes-1738	54	14	clinical	clinical	ADJ
eaes-1738	54	15	classifications	classification	NOUN
eaes-1738	54	16	software	software	NOUN
eaes-1738	54	17	(	(	PUNCT
eaes-1738	54	18	ccs	ccs	PROPN
eaes-1738	54	19	)	)	PUNCT
eaes-1738	54	20	,	,	PUNCT
eaes-1738	54	21	was	be	AUX
eaes-1738	54	22	used	use	VERB
eaes-1738	54	23	to	to	PART
eaes-1738	54	24	categorise	categorise	VERB
eaes-1738	54	25	the	the	DET
eaes-1738	54	26	diagnoses	diagnosis	NOUN
eaes-1738	54	27	,	,	PUNCT
eaes-1738	54	28	to	to	ADP
eaes-1738	54	29	better	well	ADJ
eaes-1738	54	30	capture	capture	NOUN
eaes-1738	54	31	comorbidities	comorbiditie	NOUN
eaes-1738	54	32	’	'	PUNCT
eaes-1738	54	33	patterns	pattern	NOUN
eaes-1738	54	34	and	and	CCONJ
eaes-1738	54	35	cross	cross	NOUN
eaes-1738	54	36	-	-	NOUN
eaes-1738	54	37	correlations	correlation	NOUN
eaes-1738	54	38	.	.	PUNCT
eaes-1738	55	1	the	the	DET
eaes-1738	55	2	ccs	ccs	PROPN
eaes-1738	55	3	categorises	categorise	VERB
eaes-1738	55	4	the	the	DET
eaes-1738	55	5	icd-10	icd-10	PRON
eaes-1738	55	6	(	(	PUNCT
eaes-1738	55	7	10th	10th	ADJ
eaes-1738	55	8	revision	revision	NOUN
eaes-1738	55	9	of	of	ADP
eaes-1738	55	10	the	the	DET
eaes-1738	55	11	icd	icd	PROPN
eaes-1738	55	12	)	)	PUNCT
eaes-1738	55	13	diagnoses	diagnosis	NOUN
eaes-1738	55	14	and	and	CCONJ
eaes-1738	55	15	operations	operation	NOUN
eaes-1738	55	16	into	into	ADP
eaes-1738	55	17	a	a	DET
eaes-1738	55	18	number	number	NOUN
eaes-1738	55	19	of	of	ADP
eaes-1738	55	20	categories	category	NOUN
eaes-1738	55	21	that	that	PRON
eaes-1738	55	22	are	be	AUX
eaes-1738	55	23	clinically	clinically	ADV
eaes-1738	55	24	meaningful	meaningful	ADJ
eaes-1738	55	25	(	(	PUNCT
eaes-1738	55	26	hscic	hscic	NOUN
eaes-1738	55	27	,	,	PUNCT
eaes-1738	55	28	2014	2014	NUM
eaes-1738	55	29	;	;	PUNCT
eaes-1738	55	30	elixhauser	elixhauser	PROPN
eaes-1738	55	31	&	&	CCONJ
eaes-1738	55	32	steiner	steiner	PROPN
eaes-1738	55	33	,	,	PUNCT
eaes-1738	55	34	2006	2006	NUM
eaes-1738	55	35	;	;	PUNCT
eaes-1738	55	36	ahrq	ahrq	PROPN
eaes-1738	55	37	,	,	PUNCT
eaes-1738	55	38	2016	2016	NUM
eaes-1738	55	39	)	)	PUNCT
eaes-1738	55	40	.	.	PUNCT
eaes-1738	56	1	furthermore	furthermore	ADV
eaes-1738	56	2	,	,	PUNCT
eaes-1738	56	3	operations	operation	NOUN
eaes-1738	56	4	and	and	CCONJ
eaes-1738	56	5	procedures	procedure	NOUN
eaes-1738	56	6	were	be	AUX
eaes-1738	56	7	categorised	categorise	VERB
eaes-1738	56	8	using	use	VERB
eaes-1738	56	9	the	the	DET
eaes-1738	56	10	major	major	ADJ
eaes-1738	56	11	categories	category	NOUN
eaes-1738	56	12	of	of	ADP
eaes-1738	56	13	the	the	DET
eaes-1738	56	14	opcs-4	opcs-4	PROPN
eaes-1738	56	15	,	,	PUNCT
eaes-1738	56	16	but	but	CCONJ
eaes-1738	56	17	alternative	alternative	ADJ
eaes-1738	56	18	coding	code	VERB
eaes-1738	56	19	categorisation	categorisation	NOUN
eaes-1738	56	20	may	may	AUX
eaes-1738	56	21	be	be	AUX
eaes-1738	56	22	used	use	VERB
eaes-1738	56	23	,	,	PUNCT
eaes-1738	56	24	like	like	ADP
eaes-1738	56	25	icd-10	icd-10	NOUN
eaes-1738	56	26	-	-	PUNCT
eaes-1738	56	27	pcs	pc	NOUN
eaes-1738	56	28	.	.	PUNCT
eaes-1738	57	1	the	the	DET
eaes-1738	57	2	opcs-4	opcs-4	PROPN
eaes-1738	57	3	is	be	AUX
eaes-1738	57	4	an	an	DET
eaes-1738	57	5	alphanumeric	alphanumeric	ADJ
eaes-1738	57	6	nomenclature	nomenclature	NOUN
eaes-1738	57	7	(	(	PUNCT
eaes-1738	57	8	similar	similar	ADJ
eaes-1738	57	9	to	to	ADP
eaes-1738	57	10	icd-10	icd-10	NOUN
eaes-1738	57	11	-	-	PUNCT
eaes-1738	57	12	pcs	pc	NOUN
eaes-1738	57	13	)	)	PUNCT
eaes-1738	57	14	,	,	PUNCT
eaes-1738	57	15	and	and	CCONJ
eaes-1738	57	16	is	be	AUX
eaes-1738	57	17	used	use	VERB
eaes-1738	57	18	by	by	ADP
eaes-1738	57	19	the	the	DET
eaes-1738	57	20	nhs	nhs	PROPN
eaes-1738	57	21	england	england	PROPN
eaes-1738	57	22	and	and	CCONJ
eaes-1738	57	23	has	have	VERB
eaes-1738	57	24	an	an	DET
eaes-1738	57	25	implicit	implicit	ADJ
eaes-1738	57	26	categorisation	categorisation	NOUN
eaes-1738	57	27	for	for	ADP
eaes-1738	57	28	operations	operation	NOUN
eaes-1738	57	29	based	base	VERB
eaes-1738	57	30	on	on	ADP
eaes-1738	57	31	clinical	clinical	ADJ
eaes-1738	57	32	categories	category	NOUN
eaes-1738	57	33	rather	rather	ADV
eaes-1738	57	34	than	than	ADP
eaes-1738	57	35	cost	cost	NOUN
eaes-1738	57	36	or	or	CCONJ
eaes-1738	57	37	risks	risk	NOUN
eaes-1738	57	38	.	.	PUNCT
eaes-1738	58	1	2.2.2	2.2.2	NUM
eaes-1738	58	2	life	life	NOUN
eaes-1738	58	3	-	-	PUNCT
eaes-1738	58	4	table	table	NOUN
eaes-1738	58	5	and	and	CCONJ
eaes-1738	58	6	aggregation	aggregation	NOUN
eaes-1738	58	7	healthcare	healthcare	PROPN
eaes-1738	58	8	administrative	administrative	PROPN
eaes-1738	58	9	data	datum	NOUN
eaes-1738	58	10	are	be	AUX
eaes-1738	58	11	severely	severely	ADV
eaes-1738	58	12	unbalanced	unbalanced	ADJ
eaes-1738	58	13	regarding	regard	VERB
eaes-1738	58	14	the	the	DET
eaes-1738	58	15	amount	amount	NOUN
eaes-1738	58	16	of	of	ADP
eaes-1738	58	17	longitudinal	longitudinal	ADJ
eaes-1738	58	18	(	(	PUNCT
eaes-1738	58	19	panel	panel	NOUN
eaes-1738	58	20	)	)	PUNCT
eaes-1738	58	21	data	datum	NOUN
eaes-1738	58	22	per	per	ADP
eaes-1738	58	23	patient	patient	NOUN
eaes-1738	58	24	and	and	CCONJ
eaes-1738	58	25	their	their	PRON
eaes-1738	58	26	distributions	distribution	NOUN
eaes-1738	58	27	over	over	ADP
eaes-1738	58	28	the	the	DET
eaes-1738	58	29	years	year	NOUN
eaes-1738	58	30	.	.	PUNCT
eaes-1738	59	1	statistical	statistical	ADJ
eaes-1738	59	2	methods	method	NOUN
eaes-1738	59	3	are	be	AUX
eaes-1738	59	4	not	not	PART
eaes-1738	59	5	equipped	equip	VERB
eaes-1738	59	6	to	to	PART
eaes-1738	59	7	handle	handle	VERB
eaes-1738	59	8	these	these	DET
eaes-1738	59	9	type	type	NOUN
eaes-1738	59	10	of	of	ADP
eaes-1738	59	11	unbalances	unbalance	NOUN
eaes-1738	59	12	directly	directly	ADV
eaes-1738	59	13	.	.	PUNCT
eaes-1738	60	1	therefore	therefore	ADV
eaes-1738	60	2	,	,	PUNCT
eaes-1738	60	3	the	the	DET
eaes-1738	60	4	survival	survival	NOUN
eaes-1738	60	5	analysis	analysis	NOUN
eaes-1738	60	6	’s	’s	PART
eaes-1738	60	7	life	life	NOUN
eaes-1738	60	8	-	-	PUNCT
eaes-1738	60	9	table	table	NOUN
eaes-1738	60	10	approach	approach	NOUN
eaes-1738	60	11	was	be	AUX
eaes-1738	60	12	used	use	VERB
eaes-1738	60	13	to	to	PART
eaes-1738	60	14	keep	keep	VERB
eaes-1738	60	15	track	track	NOUN
eaes-1738	60	16	of	of	ADP
eaes-1738	60	17	temporal	temporal	ADJ
eaes-1738	60	18	events	event	NOUN
eaes-1738	60	19	(	(	PUNCT
eaes-1738	60	20	singer	singer	NOUN
eaes-1738	60	21	&	&	CCONJ
eaes-1738	60	22	willett	willett	PROPN
eaes-1738	60	23	,	,	PUNCT
eaes-1738	60	24	2003	2003	NUM
eaes-1738	60	25	)	)	PUNCT
eaes-1738	60	26	.	.	PUNCT
eaes-1738	61	1	based	base	VERB
eaes-1738	61	2	on	on	ADP
eaes-1738	61	3	previous	previous	ADJ
eaes-1738	61	4	studies	study	NOUN
eaes-1738	61	5	and	and	CCONJ
eaes-1738	61	6	the	the	DET
eaes-1738	61	7	initial	initial	ADJ
eaes-1738	61	8	statistical	statistical	ADJ
eaes-1738	61	9	analyses	analysis	NOUN
eaes-1738	61	10	,	,	PUNCT
eaes-1738	61	11	four	four	NUM
eaes-1738	61	12	levels	level	NOUN
eaes-1738	61	13	of	of	ADP
eaes-1738	61	14	temporal	temporal	ADJ
eaes-1738	61	15	features	feature	NOUN
eaes-1738	61	16	were	be	AUX
eaes-1738	61	17	generated	generate	VERB
eaes-1738	61	18	:	:	PUNCT
eaes-1738	61	19	0	0	NUM
eaes-1738	61	20	-	-	SYM
eaes-1738	61	21	30	30	NUM
eaes-1738	61	22	,	,	PUNCT
eaes-1738	61	23	30	30	NUM
eaes-1738	61	24	-	-	SYM
eaes-1738	61	25	90	90	NUM
eaes-1738	61	26	,	,	PUNCT
eaes-1738	61	27	90	90	NUM
eaes-1738	61	28	-	-	SYM
eaes-1738	61	29	365	365	NUM
eaes-1738	61	30	and	and	CCONJ
eaes-1738	61	31	365	365	NUM
eaes-1738	61	32	-	-	SYM
eaes-1738	61	33	730	730	NUM
eaes-1738	61	34	days	day	NOUN
eaes-1738	61	35	.	.	PUNCT
eaes-1738	62	1	these	these	DET
eaes-1738	62	2	four	four	NUM
eaes-1738	62	3	levels	level	NOUN
eaes-1738	62	4	capture	capture	VERB
eaes-1738	62	5	part	part	NOUN
eaes-1738	62	6	of	of	ADP
eaes-1738	62	7	the	the	DET
eaes-1738	62	8	temporal	temporal	ADJ
eaes-1738	62	9	aspect	aspect	NOUN
eaes-1738	62	10	of	of	ADP
eaes-1738	62	11	comorbidities	comorbiditie	NOUN
eaes-1738	62	12	,	,	PUNCT
eaes-1738	62	13	in	in	ADP
eaes-1738	62	14	addition	addition	NOUN
eaes-1738	62	15	to	to	ADP
eaes-1738	62	16	the	the	DET
eaes-1738	62	17	delta	delta	NOUN
eaes-1738	62	18	-	-	PUNCT
eaes-1738	62	19	time	time	NOUN
eaes-1738	62	20	between	between	ADP
eaes-1738	62	21	admissions	admission	NOUN
eaes-1738	62	22	(	(	PUNCT
eaes-1738	62	23	gapdays	gapday	NOUN
eaes-1738	62	24	)	)	PUNCT
eaes-1738	62	25	and	and	CCONJ
eaes-1738	62	26	the	the	DET
eaes-1738	62	27	length	length	NOUN
eaes-1738	62	28	-	-	PUNCT
eaes-1738	62	29	of	of	ADP
eaes-1738	62	30	-	-	PUNCT
eaes-1738	62	31	stay	stay	NOUN
eaes-1738	62	32	(	(	PUNCT
eaes-1738	62	33	epidur	epidur	PROPN
eaes-1738	62	34	)	)	PUNCT
eaes-1738	62	35	features	feature	NOUN
eaes-1738	62	36	that	that	PRON
eaes-1738	62	37	include	include	VERB
eaes-1738	62	38	temporal	temporal	ADJ
eaes-1738	62	39	metadata	metadata	NOUN
eaes-1738	62	40	.	.	PUNCT
eaes-1738	63	1	furthermore	furthermore	ADV
eaes-1738	63	2	,	,	PUNCT
eaes-1738	63	3	in	in	ADP
eaes-1738	63	4	the	the	DET
eaes-1738	63	5	modelling	modelling	NOUN
eaes-1738	63	6	stage	stage	NOUN
eaes-1738	63	7	,	,	PUNCT
eaes-1738	63	8	we	we	PRON
eaes-1738	63	9	applied	apply	VERB
eaes-1738	63	10	several	several	ADJ
eaes-1738	63	11	techniques	technique	NOUN
eaes-1738	63	12	to	to	PART
eaes-1738	63	13	capture	capture	VERB
eaes-1738	63	14	the	the	DET
eaes-1738	63	15	complex	complex	ADJ
eaes-1738	63	16	temporal	temporal	ADJ
eaes-1738	63	17	patterns	pattern	NOUN
eaes-1738	63	18	of	of	ADP
eaes-1738	63	19	patients	patient	NOUN
eaes-1738	63	20	’	'	PUNCT
eaes-1738	63	21	comorbidities	comorbiditie	NOUN
eaes-1738	63	22	.	.	PUNCT
eaes-1738	64	1	the	the	DET
eaes-1738	64	2	temporal	temporal	ADJ
eaes-1738	64	3	features	feature	NOUN
eaes-1738	64	4	were	be	AUX
eaes-1738	64	5	summarized	summarize	VERB
eaes-1738	64	6	in	in	ADP
eaes-1738	64	7	each	each	DET
eaes-1738	64	8	temporal	temporal	ADJ
eaes-1738	64	9	level	level	NOUN
eaes-1738	64	10	based	base	VERB
eaes-1738	64	11	on	on	ADP
eaes-1738	64	12	several	several	ADJ
eaes-1738	64	13	aggregation	aggregation	NOUN
eaes-1738	64	14	functions	function	NOUN
eaes-1738	64	15	,	,	PUNCT
eaes-1738	64	16	including	include	VERB
eaes-1738	64	17	prevalence	prevalence	NOUN
eaes-1738	64	18	,	,	PUNCT
eaes-1738	64	19	count	count	NOUN
eaes-1738	64	20	and	and	CCONJ
eaes-1738	64	21	average	average	ADJ
eaes-1738	64	22	.	.	PUNCT
eaes-1738	65	1	this	this	DET
eaes-1738	65	2	stage	stage	NOUN
eaes-1738	65	3	increased	increase	VERB
eaes-1738	65	4	the	the	DET
eaes-1738	65	5	number	number	NOUN
eaes-1738	65	6	of	of	ADP
eaes-1738	65	7	features	feature	NOUN
eaes-1738	65	8	by	by	ADP
eaes-1738	65	9	more	more	ADJ
eaes-1738	65	10	than	than	ADP
eaes-1738	65	11	fifty	fifty	NUM
eaes-1738	65	12	folds	fold	NOUN
eaes-1738	65	13	.	.	PUNCT
eaes-1738	66	1	2.2.3	2.2.3	NUM
eaes-1738	66	2	feature	feature	NOUN
eaes-1738	66	3	selection	selection	NOUN
eaes-1738	66	4	after	after	ADP
eaes-1738	66	5	feature	feature	NOUN
eaes-1738	66	6	generation	generation	NOUN
eaes-1738	66	7	,	,	PUNCT
eaes-1738	66	8	a	a	DET
eaes-1738	66	9	feature	feature	NOUN
eaes-1738	66	10	pool	pool	NOUN
eaes-1738	66	11	was	be	AUX
eaes-1738	66	12	produced	produce	VERB
eaes-1738	66	13	based	base	VERB
eaes-1738	66	14	on	on	ADP
eaes-1738	66	15	the	the	DET
eaes-1738	66	16	developed	develop	VERB
eaes-1738	66	17	features	feature	NOUN
eaes-1738	66	18	.	.	PUNCT
eaes-1738	67	1	thereafter	thereafter	ADV
eaes-1738	67	2	,	,	PUNCT
eaes-1738	67	3	the	the	DET
eaes-1738	67	4	feature	feature	NOUN
eaes-1738	67	5	selection	selection	NOUN
eaes-1738	67	6	step	step	NOUN
eaes-1738	67	7	has	have	AUX
eaes-1738	67	8	been	be	AUX
eaes-1738	67	9	carried	carry	VERB
eaes-1738	67	10	out	out	ADP
eaes-1738	67	11	.	.	PUNCT
eaes-1738	68	1	firstly	firstly	ADV
eaes-1738	68	2	,	,	PUNCT
eaes-1738	68	3	the	the	DET
eaes-1738	68	4	features	feature	NOUN
eaes-1738	68	5	were	be	AUX
eaes-1738	68	6	filtered	filter	VERB
eaes-1738	68	7	out	out	ADP
eaes-1738	68	8	based	base	VERB
eaes-1738	68	9	on	on	ADP
eaes-1738	68	10	their	their	PRON
eaes-1738	68	11	linear	linear	ADJ
eaes-1738	68	12	cross	cross	NOUN
eaes-1738	68	13	-	-	NOUN
eaes-1738	68	14	correlation	correlation	NOUN
eaes-1738	68	15	,	,	PUNCT
eaes-1738	68	16	as	as	ADV
eaes-1738	68	17	well	well	ADV
eaes-1738	68	18	as	as	ADP
eaes-1738	68	19	frequency	frequency	NOUN
eaes-1738	68	20	and	and	CCONJ
eaes-1738	68	21	sparseness	sparseness	ADJ
eaes-1738	68	22	(	(	PUNCT
eaes-1738	68	23	percentage	percentage	NOUN
eaes-1738	68	24	of	of	ADP
eaes-1738	68	25	distinct	distinct	NOUN
eaes-1738	68	26	,	,	PUNCT
eaes-1738	68	27	and	and	CCONJ
eaes-1738	68	28	the	the	DET
eaes-1738	68	29	ratio	ratio	NOUN
eaes-1738	68	30	of	of	ADP
eaes-1738	68	31	the	the	DET
eaes-1738	68	32	most	most	ADV
eaes-1738	68	33	common	common	ADJ
eaes-1738	68	34	value	value	NOUN
eaes-1738	68	35	to	to	ADP
eaes-1738	68	36	the	the	DET
eaes-1738	68	37	second	second	ADJ
eaes-1738	68	38	most	most	ADV
eaes-1738	68	39	common	common	ADJ
eaes-1738	68	40	)	)	PUNCT
eaes-1738	68	41	.	.	PUNCT
eaes-1738	69	1	thereafter	thereafter	ADV
eaes-1738	69	2	,	,	PUNCT
eaes-1738	69	3	the	the	DET
eaes-1738	69	4	continuous	continuous	ADJ
eaes-1738	69	5	features	feature	NOUN
eaes-1738	69	6	have	have	AUX
eaes-1738	69	7	been	be	AUX
eaes-1738	69	8	transformed	transform	VERB
eaes-1738	69	9	using	use	VERB
eaes-1738	69	10	two	two	NUM
eaes-1738	69	11	feature	feature	NOUN
eaes-1738	69	12	transformations	transformation	NOUN
eaes-1738	69	13	methods	method	NOUN
eaes-1738	69	14	:	:	PUNCT
eaes-1738	69	15	scale	scale	NOUN
eaes-1738	69	16	-	-	PUNCT
eaes-1738	69	17	to	to	AUX
eaes-1738	69	18	-	-	PUNCT
eaes-1738	69	19	mean	mean	VERB
eaes-1738	69	20	and	and	CCONJ
eaes-1738	69	21	yeo	yeo	PROPN
eaes-1738	69	22	-	-	PUNCT
eaes-1738	69	23	johnson	johnson	PROPN
eaes-1738	69	24	(	(	PUNCT
eaes-1738	69	25	yeo	yeo	PROPN
eaes-1738	69	26	&	&	CCONJ
eaes-1738	69	27	johnson	johnson	PROPN
eaes-1738	69	28	,	,	PUNCT
eaes-1738	69	29	2000	2000	NUM
eaes-1738	69	30	;	;	PUNCT
eaes-1738	69	31	breiman	breiman	NOUN
eaes-1738	69	32	,	,	PUNCT
eaes-1738	69	33	2001	2001	NUM
eaes-1738	69	34	;	;	PUNCT
eaes-1738	69	35	hawkins	hawkins	PROPN
eaes-1738	69	36	&	&	CCONJ
eaes-1738	69	37	blakeslee	blakeslee	PROPN
eaes-1738	69	38	,	,	PUNCT
eaes-1738	69	39	2007	2007	NUM
eaes-1738	69	40	)	)	PUNCT
eaes-1738	69	41	.	.	PUNCT
eaes-1738	70	1	both	both	DET
eaes-1738	70	2	methods	method	NOUN
eaes-1738	70	3	can	can	AUX
eaes-1738	70	4	be	be	AUX
eaes-1738	70	5	used	use	VERB
eaes-1738	70	6	to	to	PART
eaes-1738	70	7	transform	transform	VERB
eaes-1738	70	8	the	the	DET
eaes-1738	70	9	data	datum	NOUN
eaes-1738	70	10	,	,	PUNCT
eaes-1738	70	11	to	to	PART
eaes-1738	70	12	improve	improve	VERB
eaes-1738	70	13	normality	normality	NOUN
eaes-1738	70	14	.	.	PUNCT
eaes-1738	71	1	although	although	SCONJ
eaes-1738	71	2	,	,	PUNCT
eaes-1738	71	3	feature	feature	NOUN
eaes-1738	71	4	transformations	transformation	NOUN
eaes-1738	71	5	would	would	AUX
eaes-1738	71	6	not	not	PART
eaes-1738	71	7	guarantee	guarantee	VERB
eaes-1738	71	8	better	well	ADJ
eaes-1738	71	9	convergence	convergence	NOUN
eaes-1738	71	10	or	or	CCONJ
eaes-1738	71	11	very	very	ADV
eaes-1738	71	12	stable	stable	ADJ
eaes-1738	71	13	variance	variance	NOUN
eaes-1738	71	14	for	for	ADP
eaes-1738	71	15	any	any	DET
eaes-1738	71	16	dataset	dataset	NOUN
eaes-1738	71	17	,	,	PUNCT
eaes-1738	71	18	they	they	PRON
eaes-1738	71	19	have	have	AUX
eaes-1738	71	20	been	be	AUX
eaes-1738	71	21	applied	apply	VERB
eaes-1738	71	22	to	to	PART
eaes-1738	71	23	avoid	avoid	VERB
eaes-1738	71	24	inputting	inputte	VERB
eaes-1738	71	25	skewed	skewed	ADJ
eaes-1738	71	26	features	feature	NOUN
eaes-1738	71	27	into	into	ADP
eaes-1738	71	28	models	model	NOUN
eaes-1738	71	29	.	.	PUNCT
eaes-1738	72	1	moreover	moreover	ADV
eaes-1738	72	2	,	,	PUNCT
eaes-1738	72	3	a	a	DET
eaes-1738	72	4	downside	downside	NOUN
eaes-1738	72	5	of	of	ADP
eaes-1738	72	6	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	72	7	energy	energy	NOUN
eaes-1738	72	8	and	and	CCONJ
eaes-1738	72	9	earth	earth	NOUN
eaes-1738	72	10	science	science	NOUN
eaes-1738	72	11	vol	vol	NOUN
eaes-1738	72	12	.	.	PROPN
eaes-1738	73	1	1	1	NUM
eaes-1738	73	2	,	,	PUNCT
eaes-1738	73	3	no	no	INTJ
eaes-1738	73	4	.	.	NOUN
eaes-1738	73	5	1	1	NUM
eaes-1738	73	6	,	,	PUNCT
eaes-1738	73	7	2018	2018	NUM
eaes-1738	73	8	46	46	NUM
eaes-1738	73	9	published	publish	VERB
eaes-1738	73	10	by	by	ADP
eaes-1738	73	11	scholink	scholink	PROPN
eaes-1738	73	12	inc	inc	PROPN
eaes-1738	73	13	.	.	PROPN
eaes-1738	73	14	transformations	transformation	NOUN
eaes-1738	73	15	is	be	AUX
eaes-1738	73	16	that	that	SCONJ
eaes-1738	73	17	they	they	PRON
eaes-1738	73	18	make	make	VERB
eaes-1738	73	19	model	model	NOUN
eaes-1738	73	20	interpretation	interpretation	NOUN
eaes-1738	73	21	harder	hard	ADV
eaes-1738	73	22	,	,	PUNCT
eaes-1738	73	23	and	and	CCONJ
eaes-1738	73	24	can	can	AUX
eaes-1738	73	25	negatively	negatively	ADV
eaes-1738	73	26	impact	impact	VERB
eaes-1738	73	27	the	the	DET
eaes-1738	73	28	relationship	relationship	NOUN
eaes-1738	73	29	between	between	ADP
eaes-1738	73	30	correlated	correlate	VERB
eaes-1738	73	31	features	feature	NOUN
eaes-1738	73	32	in	in	ADP
eaes-1738	73	33	the	the	DET
eaes-1738	73	34	model	model	NOUN
eaes-1738	73	35	.	.	PUNCT
eaes-1738	74	1	therefore	therefore	ADV
eaes-1738	74	2	,	,	PUNCT
eaes-1738	74	3	the	the	DET
eaes-1738	74	4	highly	highly	ADV
eaes-1738	74	5	correlated	correlate	VERB
eaes-1738	74	6	features	feature	NOUN
eaes-1738	74	7	were	be	AUX
eaes-1738	74	8	removed	remove	VERB
eaes-1738	74	9	after	after	ADP
eaes-1738	74	10	transformations	transformation	NOUN
eaes-1738	74	11	.	.	PUNCT
eaes-1738	75	1	2.3	2.3	NUM
eaes-1738	75	2	modelling	modelling	NOUN
eaes-1738	75	3	approaches	approach	VERB
eaes-1738	75	4	the	the	DET
eaes-1738	75	5	aim	aim	NOUN
eaes-1738	75	6	of	of	ADP
eaes-1738	75	7	this	this	DET
eaes-1738	75	8	research	research	NOUN
eaes-1738	75	9	is	be	AUX
eaes-1738	75	10	to	to	PART
eaes-1738	75	11	model	model	VERB
eaes-1738	75	12	emergency	emergency	NOUN
eaes-1738	75	13	readmission	readmission	NOUN
eaes-1738	75	14	using	use	VERB
eaes-1738	75	15	a	a	DET
eaes-1738	75	16	minimal	minimal	ADJ
eaes-1738	75	17	number	number	NOUN
eaes-1738	75	18	of	of	ADP
eaes-1738	75	19	generic	generic	ADJ
eaes-1738	75	20	features	feature	NOUN
eaes-1738	75	21	that	that	PRON
eaes-1738	75	22	can	can	AUX
eaes-1738	75	23	be	be	AUX
eaes-1738	75	24	used	use	VERB
eaes-1738	75	25	for	for	ADP
eaes-1738	75	26	short	short	ADJ
eaes-1738	75	27	and	and	CCONJ
eaes-1738	75	28	long	long	ADJ
eaes-1738	75	29	-	-	PUNCT
eaes-1738	75	30	term	term	NOUN
eaes-1738	75	31	predictions	prediction	NOUN
eaes-1738	75	32	with	with	ADP
eaes-1738	75	33	high	high	ADJ
eaes-1738	75	34	correlation	correlation	NOUN
eaes-1738	75	35	to	to	ADP
eaes-1738	75	36	the	the	DET
eaes-1738	75	37	comorbidity	comorbidity	NOUN
eaes-1738	75	38	risk	risk	NOUN
eaes-1738	75	39	.	.	PUNCT
eaes-1738	76	1	in	in	ADP
eaes-1738	76	2	this	this	DET
eaes-1738	76	3	study	study	NOUN
eaes-1738	76	4	,	,	PUNCT
eaes-1738	76	5	there	there	PRON
eaes-1738	76	6	is	be	VERB
eaes-1738	76	7	no	no	DET
eaes-1738	76	8	condition	condition	NOUN
eaes-1738	76	9	on	on	ADP
eaes-1738	76	10	the	the	DET
eaes-1738	76	11	trigger	trigger	NOUN
eaes-1738	76	12	event	event	NOUN
eaes-1738	76	13	admission	admission	NOUN
eaes-1738	76	14	and	and	CCONJ
eaes-1738	76	15	a	a	DET
eaes-1738	76	16	minimal	minimal	ADJ
eaes-1738	76	17	number	number	NOUN
eaes-1738	76	18	of	of	ADP
eaes-1738	76	19	features	feature	NOUN
eaes-1738	76	20	are	be	AUX
eaes-1738	76	21	used	use	VERB
eaes-1738	76	22	.	.	PUNCT
eaes-1738	77	1	this	this	PRON
eaes-1738	77	2	makes	make	VERB
eaes-1738	77	3	it	it	PRON
eaes-1738	77	4	different	different	ADJ
eaes-1738	77	5	from	from	ADP
eaes-1738	77	6	general	general	ADJ
eaes-1738	77	7	readmission	readmission	NOUN
eaes-1738	77	8	models	model	NOUN
eaes-1738	77	9	,	,	PUNCT
eaes-1738	77	10	like	like	ADP
eaes-1738	77	11	the	the	DET
eaes-1738	77	12	ermer	ermer	NOUN
eaes-1738	77	13	(	(	PUNCT
eaes-1738	77	14	mesgarpour	mesgarpour	NOUN
eaes-1738	77	15	,	,	PUNCT
eaes-1738	77	16	chaussalet	chaussalet	NOUN
eaes-1738	77	17	,	,	PUNCT
eaes-1738	77	18	&	&	CCONJ
eaes-1738	77	19	chahed	chahe	VERB
eaes-1738	77	20	,	,	PUNCT
eaes-1738	77	21	2017	2017	NUM
eaes-1738	77	22	)	)	PUNCT
eaes-1738	77	23	,	,	PUNCT
eaes-1738	77	24	that	that	PRON
eaes-1738	77	25	use	use	VERB
eaes-1738	77	26	a	a	DET
eaes-1738	77	27	wide	wide	ADJ
eaes-1738	77	28	range	range	NOUN
eaes-1738	77	29	of	of	ADP
eaes-1738	77	30	features	feature	NOUN
eaes-1738	77	31	and	and	CCONJ
eaes-1738	77	32	may	may	AUX
eaes-1738	77	33	enforce	enforce	VERB
eaes-1738	77	34	the	the	DET
eaes-1738	77	35	emergency	emergency	NOUN
eaes-1738	77	36	admission	admission	NOUN
eaes-1738	77	37	condition	condition	NOUN
eaes-1738	77	38	for	for	ADP
eaes-1738	77	39	both	both	PRON
eaes-1738	77	40	trigger	trigger	NOUN
eaes-1738	77	41	-	-	PUNCT
eaes-1738	77	42	event	event	NOUN
eaes-1738	77	43	and	and	CCONJ
eaes-1738	77	44	future	future	ADJ
eaes-1738	77	45	-	-	PUNCT
eaes-1738	77	46	event	event	NOUN
eaes-1738	77	47	.	.	PUNCT
eaes-1738	78	1	2.3.1	2.3.1	NUM
eaes-1738	78	2	logistic	logistic	ADJ
eaes-1738	78	3	regression	regression	NOUN
eaes-1738	78	4	the	the	DET
eaes-1738	78	5	first	first	ADJ
eaes-1738	78	6	algorithm	algorithm	NOUN
eaes-1738	78	7	is	be	AUX
eaes-1738	78	8	a	a	DET
eaes-1738	78	9	logistic	logistic	ADJ
eaes-1738	78	10	regression	regression	NOUN
eaes-1738	78	11	with	with	ADP
eaes-1738	78	12	l1	l1	PROPN
eaes-1738	78	13	regularisation	regularisation	NOUN
eaes-1738	78	14	(	(	PUNCT
eaes-1738	78	15	1.0	1.0	NUM
eaes-1738	78	16	)	)	PUNCT
eaes-1738	78	17	,	,	PUNCT
eaes-1738	78	18	using	use	VERB
eaes-1738	78	19	liblinear	liblinear	ADJ
eaes-1738	78	20	optimisation	optimisation	NOUN
eaes-1738	78	21	algorithm	algorithm	NOUN
eaes-1738	78	22	(	(	PUNCT
eaes-1738	78	23	fan	fan	PROPN
eaes-1738	78	24	,	,	PUNCT
eaes-1738	78	25	chang	chang	PROPN
eaes-1738	78	26	,	,	PUNCT
eaes-1738	78	27	hsieh	hsieh	PROPN
eaes-1738	78	28	,	,	PUNCT
eaes-1738	78	29	wang	wang	PROPN
eaes-1738	78	30	,	,	PUNCT
eaes-1738	78	31	&	&	CCONJ
eaes-1738	78	32	lin	lin	PROPN
eaes-1738	78	33	,	,	PUNCT
eaes-1738	78	34	2008	2008	NUM
eaes-1738	78	35	)	)	PUNCT
eaes-1738	78	36	with	with	ADP
eaes-1738	78	37	the	the	DET
eaes-1738	78	38	maximum	maximum	NOUN
eaes-1738	78	39	of	of	ADP
eaes-1738	78	40	hundred	hundred	NUM
eaes-1738	78	41	iterations	iteration	NOUN
eaes-1738	78	42	and	and	CCONJ
eaes-1738	78	43	a	a	DET
eaes-1738	78	44	warm	warm	ADJ
eaes-1738	78	45	-	-	PUNCT
eaes-1738	78	46	up	up	ADP
eaes-1738	78	47	period	period	NOUN
eaes-1738	78	48	.	.	PUNCT
eaes-1738	79	1	the	the	DET
eaes-1738	79	2	random	random	ADJ
eaes-1738	79	3	forest	forest	NOUN
eaes-1738	79	4	method	method	NOUN
eaes-1738	79	5	is	be	AUX
eaes-1738	79	6	an	an	DET
eaes-1738	79	7	ensemble	ensemble	ADJ
eaes-1738	79	8	decision	decision	NOUN
eaes-1738	79	9	tree	tree	NOUN
eaes-1738	79	10	,	,	PUNCT
eaes-1738	79	11	which	which	PRON
eaes-1738	79	12	was	be	AUX
eaes-1738	79	13	first	first	ADV
eaes-1738	79	14	introduced	introduce	VERB
eaes-1738	79	15	by	by	ADP
eaes-1738	79	16	breiman	breiman	NOUN
eaes-1738	79	17	et	et	PROPN
eaes-1738	79	18	al	al	PROPN
eaes-1738	79	19	.	.	PROPN
eaes-1738	80	1	(	(	PUNCT
eaes-1738	80	2	2001	2001	NUM
eaes-1738	80	3	)	)	PUNCT
eaes-1738	80	4	.	.	PUNCT
eaes-1738	81	1	it	it	PRON
eaes-1738	81	2	is	be	AUX
eaes-1738	81	3	based	base	VERB
eaes-1738	81	4	on	on	ADP
eaes-1738	81	5	the	the	DET
eaes-1738	81	6	cart	cart	NOUN
eaes-1738	81	7	algorithm	algorithm	NOUN
eaes-1738	81	8	(	(	PUNCT
eaes-1738	81	9	breiman	breiman	NOUN
eaes-1738	81	10	,	,	PUNCT
eaes-1738	81	11	friedman	friedman	NOUN
eaes-1738	81	12	,	,	PUNCT
eaes-1738	81	13	stone	stone	NOUN
eaes-1738	81	14	,	,	PUNCT
eaes-1738	81	15	&	&	CCONJ
eaes-1738	81	16	olshen	olshen	NOUN
eaes-1738	81	17	,	,	PUNCT
eaes-1738	81	18	1984	1984	NUM
eaes-1738	81	19	)	)	PUNCT
eaes-1738	81	20	and	and	CCONJ
eaes-1738	81	21	the	the	DET
eaes-1738	81	22	bagging	bagging	NOUN
eaes-1738	81	23	ensemble	ensemble	ADJ
eaes-1738	81	24	method	method	NOUN
eaes-1738	81	25	(	(	PUNCT
eaes-1738	81	26	breiman	breiman	NOUN
eaes-1738	81	27	,	,	PUNCT
eaes-1738	81	28	1996	1996	NUM
eaes-1738	81	29	)	)	PUNCT
eaes-1738	81	30	.	.	PUNCT
eaes-1738	82	1	however	however	ADV
eaes-1738	82	2	,	,	PUNCT
eaes-1738	82	3	the	the	DET
eaes-1738	82	4	breiman	breiman	NOUN
eaes-1738	82	5	random	random	ADJ
eaes-1738	82	6	forest	forest	NOUN
eaes-1738	82	7	is	be	AUX
eaes-1738	82	8	sensitive	sensitive	ADJ
eaes-1738	82	9	to	to	ADP
eaes-1738	82	10	highly	highly	ADV
eaes-1738	82	11	correlated	correlate	VERB
eaes-1738	82	12	features	feature	NOUN
eaes-1738	82	13	,	,	PUNCT
eaes-1738	82	14	and	and	CCONJ
eaes-1738	82	15	the	the	DET
eaes-1738	82	16	scale	scale	NOUN
eaes-1738	82	17	or	or	CCONJ
eaes-1738	82	18	categories	category	NOUN
eaes-1738	82	19	of	of	ADP
eaes-1738	82	20	features	feature	NOUN
eaes-1738	82	21	(	(	PUNCT
eaes-1738	82	22	strobl	strobl	NOUN
eaes-1738	82	23	,	,	PUNCT
eaes-1738	82	24	boulesteix	boulesteix	NOUN
eaes-1738	82	25	,	,	PUNCT
eaes-1738	82	26	zeileis	zeileis	NOUN
eaes-1738	82	27	,	,	PUNCT
eaes-1738	82	28	&	&	CCONJ
eaes-1738	82	29	hothorn	hothorn	NOUN
eaes-1738	82	30	,	,	PUNCT
eaes-1738	82	31	2007	2007	NUM
eaes-1738	82	32	;	;	PUNCT
eaes-1738	82	33	tolosi	tolosi	PROPN
eaes-1738	82	34	&	&	CCONJ
eaes-1738	82	35	lengauer	lengauer	PROPN
eaes-1738	82	36	,	,	PUNCT
eaes-1738	82	37	2011	2011	NUM
eaes-1738	82	38	)	)	PUNCT
eaes-1738	82	39	.	.	PUNCT
eaes-1738	83	1	2.3.2	2.3.2	NUM
eaes-1738	83	2	random	random	ADJ
eaes-1738	83	3	forest	forest	NOUN
eaes-1738	83	4	we	we	PRON
eaes-1738	83	5	used	use	VERB
eaes-1738	83	6	a	a	DET
eaes-1738	83	7	random	random	ADJ
eaes-1738	83	8	forest	forest	NOUN
eaes-1738	83	9	method	method	NOUN
eaes-1738	83	10	using	use	VERB
eaes-1738	83	11	the	the	DET
eaes-1738	83	12	breiman	breiman	NOUN
eaes-1738	83	13	algorithm	algorithm	NOUN
eaes-1738	83	14	(	(	PUNCT
eaes-1738	83	15	breiman	breiman	NOUN
eaes-1738	83	16	,	,	PUNCT
eaes-1738	83	17	2001	2001	NUM
eaes-1738	83	18	)	)	PUNCT
eaes-1738	83	19	,	,	PUNCT
eaes-1738	83	20	with	with	ADP
eaes-1738	83	21	gradient	gradient	NOUN
eaes-1738	83	22	boosted	boost	VERB
eaes-1738	83	23	regression	regression	NOUN
eaes-1738	83	24	trees	tree	NOUN
eaes-1738	83	25	,	,	PUNCT
eaes-1738	83	26	gini	gini	NOUN
eaes-1738	83	27	index	index	NOUN
eaes-1738	83	28	criterion	criterion	NOUN
eaes-1738	83	29	and	and	CCONJ
eaes-1738	83	30	1000	1000	NUM
eaes-1738	83	31	trees	tree	NOUN
eaes-1738	83	32	in	in	ADP
eaes-1738	83	33	the	the	DET
eaes-1738	83	34	forest	forest	NOUN
eaes-1738	83	35	.	.	PUNCT
eaes-1738	84	1	3	3	X
eaes-1738	84	2	.	.	X
eaes-1738	84	3	deep	deep	ADJ
eaes-1738	84	4	neural	neural	ADJ
eaes-1738	84	5	network	network	NOUN
eaes-1738	84	6	and	and	CCONJ
eaes-1738	84	7	results	result	NOUN
eaes-1738	84	8	we	we	PRON
eaes-1738	84	9	implemented	implement	VERB
eaes-1738	84	10	a	a	DET
eaes-1738	84	11	deep	deep	ADJ
eaes-1738	84	12	neural	neural	ADJ
eaes-1738	84	13	network	network	NOUN
eaes-1738	84	14	(	(	PUNCT
eaes-1738	84	15	dnn	dnn	PROPN
eaes-1738	84	16	)	)	PUNCT
eaes-1738	84	17	based	base	VERB
eaes-1738	84	18	on	on	ADP
eaes-1738	84	19	the	the	DET
eaes-1738	84	20	wide	wide	ADJ
eaes-1738	84	21	and	and	CCONJ
eaes-1738	84	22	deep	deep	ADJ
eaes-1738	84	23	neural	neural	ADJ
eaes-1738	84	24	network	network	NOUN
eaes-1738	84	25	(	(	PUNCT
eaes-1738	84	26	wdnn	wdnn	NOUN
eaes-1738	84	27	)	)	PUNCT
eaes-1738	84	28	algorithm	algorithm	NOUN
eaes-1738	84	29	,	,	PUNCT
eaes-1738	84	30	which	which	PRON
eaes-1738	84	31	was	be	AUX
eaes-1738	84	32	introduced	introduce	VERB
eaes-1738	84	33	by	by	ADP
eaes-1738	84	34	cheng	cheng	PROPN
eaes-1738	84	35	et	et	PROPN
eaes-1738	84	36	al	al	PROPN
eaes-1738	84	37	.	.	PROPN
eaes-1738	85	1	(	(	PUNCT
eaes-1738	85	2	2016	2016	NUM
eaes-1738	85	3	)	)	PUNCT
eaes-1738	85	4	.	.	PUNCT
eaes-1738	86	1	dnns	dnn	NOUN
eaes-1738	86	2	are	be	AUX
eaes-1738	86	3	a	a	DET
eaes-1738	86	4	class	class	NOUN
eaes-1738	86	5	of	of	ADP
eaes-1738	86	6	artificial	artificial	ADJ
eaes-1738	86	7	neural	neural	ADJ
eaes-1738	86	8	networks	network	NOUN
eaes-1738	86	9	(	(	PUNCT
eaes-1738	86	10	ann	ann	PROPN
eaes-1738	86	11	)	)	PUNCT
eaes-1738	86	12	with	with	ADP
eaes-1738	86	13	multiple	multiple	ADJ
eaes-1738	86	14	hidden	hide	VERB
eaes-1738	86	15	layers	layer	NOUN
eaes-1738	86	16	,	,	PUNCT
eaes-1738	86	17	which	which	PRON
eaes-1738	86	18	allow	allow	VERB
eaes-1738	86	19	modelling	modelling	NOUN
eaes-1738	86	20	more	more	ADJ
eaes-1738	86	21	complex	complex	ADJ
eaes-1738	86	22	non	non	ADJ
eaes-1738	86	23	-	-	ADJ
eaes-1738	86	24	linear	linear	ADJ
eaes-1738	86	25	problems	problem	NOUN
eaes-1738	86	26	(	(	PUNCT
eaes-1738	86	27	bengio	bengio	PROPN
eaes-1738	86	28	et	et	PROPN
eaes-1738	86	29	al	al	PROPN
eaes-1738	86	30	.	.	PROPN
eaes-1738	86	31	,	,	PUNCT
eaes-1738	86	32	2009	2009	NUM
eaes-1738	86	33	;	;	PUNCT
eaes-1738	86	34	schmidhuber	schmidhuber	NOUN
eaes-1738	86	35	,	,	PUNCT
eaes-1738	86	36	2015	2015	NUM
eaes-1738	86	37	)	)	PUNCT
eaes-1738	86	38	.	.	PUNCT
eaes-1738	87	1	dnn	dnn	PROPN
eaes-1738	87	2	act	act	PROPN
eaes-1738	87	3	like	like	ADP
eaes-1738	87	4	ann	ann	PROPN
eaes-1738	87	5	,	,	PUNCT
eaes-1738	87	6	but	but	CCONJ
eaes-1738	87	7	with	with	ADP
eaes-1738	87	8	better	well	ADJ
eaes-1738	87	9	ability	ability	NOUN
eaes-1738	87	10	to	to	PART
eaes-1738	87	11	model	model	VERB
eaes-1738	87	12	complex	complex	ADJ
eaes-1738	87	13	non	non	ADJ
eaes-1738	87	14	-	-	ADJ
eaes-1738	87	15	linear	linear	ADJ
eaes-1738	87	16	models	model	NOUN
eaes-1738	87	17	with	with	ADP
eaes-1738	87	18	a	a	DET
eaes-1738	87	19	more	more	ADV
eaes-1738	87	20	effective	effective	ADJ
eaes-1738	87	21	representation	representation	NOUN
eaes-1738	87	22	of	of	ADP
eaes-1738	87	23	features	feature	NOUN
eaes-1738	87	24	in	in	ADP
eaes-1738	87	25	each	each	DET
eaes-1738	87	26	layer	layer	NOUN
eaes-1738	87	27	.	.	PUNCT
eaes-1738	88	1	the	the	DET
eaes-1738	88	2	wdnn	wdnn	NOUN
eaes-1738	88	3	is	be	AUX
eaes-1738	88	4	a	a	DET
eaes-1738	88	5	dnn	dnn	NOUN
eaes-1738	88	6	which	which	PRON
eaes-1738	88	7	combines	combine	VERB
eaes-1738	88	8	benefits	benefit	NOUN
eaes-1738	88	9	of	of	ADP
eaes-1738	88	10	memorization	memorization	NOUN
eaes-1738	88	11	and	and	CCONJ
eaes-1738	88	12	generalization	generalization	NOUN
eaes-1738	88	13	.	.	PUNCT
eaes-1738	89	1	the	the	DET
eaes-1738	89	2	wdnn	wdnn	NOUN
eaes-1738	89	3	consists	consist	VERB
eaes-1738	89	4	of	of	ADP
eaes-1738	89	5	two	two	NUM
eaes-1738	89	6	parts	part	NOUN
eaes-1738	89	7	:	:	PUNCT
eaes-1738	89	8	the	the	DET
eaes-1738	89	9	wide	wide	ADJ
eaes-1738	89	10	model	model	NOUN
eaes-1738	89	11	and	and	CCONJ
eaes-1738	89	12	the	the	DET
eaes-1738	89	13	deep	deep	ADJ
eaes-1738	89	14	model	model	NOUN
eaes-1738	89	15	.	.	PUNCT
eaes-1738	90	1	the	the	DET
eaes-1738	90	2	wide	wide	ADJ
eaes-1738	90	3	part	part	NOUN
eaes-1738	90	4	of	of	ADP
eaes-1738	90	5	the	the	DET
eaes-1738	90	6	model	model	NOUN
eaes-1738	90	7	consists	consist	VERB
eaes-1738	90	8	of	of	ADP
eaes-1738	90	9	a	a	DET
eaes-1738	90	10	wide	wide	ADJ
eaes-1738	90	11	linear	linear	NOUN
eaes-1738	90	12	model	model	NOUN
eaes-1738	90	13	for	for	ADP
eaes-1738	90	14	highly	highly	ADV
eaes-1738	90	15	sparse	sparse	ADJ
eaes-1738	90	16	features	feature	NOUN
eaes-1738	90	17	(	(	PUNCT
eaes-1738	90	18	random	random	ADJ
eaes-1738	90	19	features	feature	NOUN
eaes-1738	90	20	that	that	PRON
eaes-1738	90	21	are	be	AUX
eaes-1738	90	22	rarely	rarely	ADV
eaes-1738	90	23	active	active	ADJ
eaes-1738	90	24	)	)	PUNCT
eaes-1738	90	25	and	and	CCONJ
eaes-1738	90	26	is	be	AUX
eaes-1738	90	27	good	good	ADJ
eaes-1738	90	28	at	at	ADP
eaes-1738	90	29	memorizing	memorize	VERB
eaes-1738	90	30	specific	specific	ADJ
eaes-1738	90	31	cases	case	NOUN
eaes-1738	90	32	.	.	PUNCT
eaes-1738	91	1	the	the	DET
eaes-1738	91	2	wide	wide	ADJ
eaes-1738	91	3	part	part	NOUN
eaes-1738	91	4	may	may	AUX
eaes-1738	91	5	also	also	ADV
eaes-1738	91	6	include	include	VERB
eaes-1738	91	7	groups	group	NOUN
eaes-1738	91	8	of	of	ADP
eaes-1738	91	9	crossed	cross	VERB
eaes-1738	91	10	features	feature	NOUN
eaes-1738	91	11	.	.	PUNCT
eaes-1738	92	1	inside	inside	ADP
eaes-1738	92	2	of	of	ADP
eaes-1738	92	3	a	a	DET
eaes-1738	92	4	group	group	NOUN
eaes-1738	92	5	of	of	ADP
eaes-1738	92	6	crossed	cross	VERB
eaes-1738	92	7	features	feature	NOUN
eaes-1738	92	8	,	,	PUNCT
eaes-1738	92	9	each	each	DET
eaes-1738	92	10	level	level	NOUN
eaes-1738	92	11	of	of	ADP
eaes-1738	92	12	one	one	NUM
eaes-1738	92	13	feature	feature	NOUN
eaes-1738	92	14	occurs	occur	VERB
eaes-1738	92	15	in	in	ADP
eaes-1738	92	16	combination	combination	NOUN
eaes-1738	92	17	with	with	ADP
eaes-1738	92	18	each	each	DET
eaes-1738	92	19	level	level	NOUN
eaes-1738	92	20	of	of	ADP
eaes-1738	92	21	other	other	ADJ
eaes-1738	92	22	features	feature	NOUN
eaes-1738	92	23	.	.	PUNCT
eaes-1738	93	1	the	the	DET
eaes-1738	93	2	glm	glm	PROPN
eaes-1738	93	3	(	(	PUNCT
eaes-1738	93	4	eq	eq	NOUN
eaes-1738	93	5	.	.	NOUN
eaes-1738	93	6	1	1	NUM
eaes-1738	93	7	)	)	PUNCT
eaes-1738	93	8	and	and	CCONJ
eaes-1738	93	9	the	the	DET
eaes-1738	93	10	cross	cross	ADJ
eaes-1738	93	11	-	-	ADJ
eaes-1738	93	12	product	product	ADJ
eaes-1738	93	13	transformation	transformation	NOUN
eaes-1738	93	14	(	(	PUNCT
eaes-1738	93	15	eq	eq	NOUN
eaes-1738	93	16	.	.	NOUN
eaes-1738	93	17	2	2	NUM
eaes-1738	93	18	)	)	PUNCT
eaes-1738	93	19	for	for	ADP
eaes-1738	93	20	the	the	DET
eaes-1738	93	21	wide	wide	ADJ
eaes-1738	93	22	part	part	NOUN
eaes-1738	93	23	are	be	AUX
eaes-1738	93	24	defined	define	VERB
eaes-1738	93	25	as	as	ADP
eaes-1738	93	26	the	the	DET
eaes-1738	93	27	following	following	NOUN
eaes-1738	93	28	:	:	PUNCT
eaes-1738	93	29	wty	wty	X
eaes-1738	93	30	x	x	PROPN
eaes-1738	93	31	b	b	PROPN
eaes-1738	93	32			X
eaes-1738	93	33	(	(	PUNCT
eaes-1738	93	34	1	1	X
eaes-1738	93	35	)	)	PUNCT
eaes-1738	93	36	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	93	37	energy	energy	NOUN
eaes-1738	93	38	and	and	CCONJ
eaes-1738	93	39	earth	earth	NOUN
eaes-1738	93	40	science	science	NOUN
eaes-1738	93	41	vol	vol	NOUN
eaes-1738	93	42	.	.	PROPN
eaes-1738	94	1	1	1	NUM
eaes-1738	94	2	,	,	PUNCT
eaes-1738	94	3	no	no	INTJ
eaes-1738	94	4	.	.	NOUN
eaes-1738	94	5	1	1	NUM
eaes-1738	94	6	,	,	PUNCT
eaes-1738	94	7	2018	2018	NUM
eaes-1738	94	8	47	47	NUM
eaes-1738	94	9	published	publish	VERB
eaes-1738	94	10	by	by	ADP
eaes-1738	94	11	scholink	scholink	PROPN
eaes-1738	94	12	inc	inc	PROPN
eaes-1738	94	13	.	.	PROPN
eaes-1738	94	14			PROPN
eaes-1738	95	1			PROPN
eaes-1738	95	2	1	1	NUM
eaes-1738	96	1	ki	ki	PROPN
eaes-1738	97	1	d	d	NOUN
eaes-1738	97	2	c	c	PROPN
eaes-1738	98	1	k	k	NOUN
eaes-1738	98	2	i	i	PRON
eaes-1738	99	1	i	i	VERB
eaes-1738	100	1	x	x	VERB
eaes-1738	101	1	x	x	PROPN
eaes-1738	102	1			NUM
eaes-1738	102	2			NOUN
eaes-1738	102	3	;	;	PUNCT
eaes-1738	102	4			PROPN
eaes-1738	102	5	0,1kic	0,1kic	PROPN
eaes-1738	102	6			NOUN
eaes-1738	102	7	(	(	PUNCT
eaes-1738	102	8	2	2	NUM
eaes-1738	102	9	)	)	PUNCT
eaes-1738	102	10	,	,	PUNCT
eaes-1738	102	11	where	where	SCONJ
eaes-1738	102	12	y	y	PROPN
eaes-1738	102	13	is	be	AUX
eaes-1738	102	14	the	the	DET
eaes-1738	102	15	prediction	prediction	NOUN
eaes-1738	102	16	,	,	PUNCT
eaes-1738	102	17	x	x	X
eaes-1738	102	18	is	be	AUX
eaes-1738	102	19	a	a	DET
eaes-1738	102	20	vector	vector	NOUN
eaes-1738	102	21	of	of	ADP
eaes-1738	102	22	features	feature	NOUN
eaes-1738	102	23	of	of	ADP
eaes-1738	102	24	d	d	PROPN
eaes-1738	102	25	features	feature	NOUN
eaes-1738	102	26	,	,	PUNCT
eaes-1738	102	27	w	w	NOUN
eaes-1738	102	28	is	be	AUX
eaes-1738	102	29	model	model	NOUN
eaes-1738	102	30	parameters	parameter	NOUN
eaes-1738	102	31	and	and	CCONJ
eaes-1738	102	32	b	b	NOUN
eaes-1738	102	33	is	be	AUX
eaes-1738	102	34	the	the	DET
eaes-1738	102	35	bias	bias	NOUN
eaes-1738	102	36	.	.	PUNCT
eaes-1738	103	1	on	on	ADP
eaes-1738	103	2	the	the	DET
eaes-1738	103	3	other	other	ADJ
eaes-1738	103	4	hand	hand	NOUN
eaes-1738	103	5	,	,	PUNCT
eaes-1738	103	6	the	the	DET
eaes-1738	103	7	deep	deep	ADJ
eaes-1738	103	8	part	part	NOUN
eaes-1738	103	9	of	of	ADP
eaes-1738	103	10	the	the	DET
eaes-1738	103	11	model	model	NOUN
eaes-1738	103	12	composed	compose	VERB
eaes-1738	103	13	of	of	ADP
eaes-1738	103	14	hidden	hidden	ADJ
eaes-1738	103	15	layers	layer	NOUN
eaes-1738	103	16	of	of	ADP
eaes-1738	103	17	feed	feed	NOUN
eaes-1738	103	18	forward	forward	ADV
eaes-1738	103	19	neural	neural	ADJ
eaes-1738	103	20	network	network	NOUN
eaes-1738	103	21	with	with	ADP
eaes-1738	103	22	an	an	DET
eaes-1738	103	23	embedding	embed	VERB
eaes-1738	103	24	layer	layer	NOUN
eaes-1738	103	25	and	and	CCONJ
eaes-1738	103	26	several	several	ADJ
eaes-1738	103	27	hidden	hidden	ADJ
eaes-1738	103	28	layers	layer	NOUN
eaes-1738	103	29	for	for	ADP
eaes-1738	103	30	any	any	DET
eaes-1738	103	31	other	other	ADJ
eaes-1738	103	32	variable	variable	NOUN
eaes-1738	103	33	.	.	PUNCT
eaes-1738	104	1	the	the	DET
eaes-1738	104	2	deep	deep	ADJ
eaes-1738	104	3	part	part	NOUN
eaes-1738	104	4	can	can	AUX
eaes-1738	104	5	be	be	AUX
eaes-1738	104	6	particularly	particularly	ADV
eaes-1738	104	7	good	good	ADJ
eaes-1738	104	8	in	in	ADP
eaes-1738	104	9	the	the	DET
eaes-1738	104	10	generalization	generalization	NOUN
eaes-1738	104	11	of	of	ADP
eaes-1738	104	12	cross	cross	NOUN
eaes-1738	104	13	-	-	NOUN
eaes-1738	104	14	correlations	correlation	NOUN
eaes-1738	104	15	.	.	PUNCT
eaes-1738	105	1	each	each	DET
eaes-1738	105	2	hidden	hide	VERB
eaes-1738	105	3	layer	layer	NOUN
eaes-1738	105	4	performs	perform	VERB
eaes-1738	105	5	the	the	DET
eaes-1738	105	6	following	follow	VERB
eaes-1738	105	7	operation	operation	NOUN
eaes-1738	105	8	(	(	PUNCT
eaes-1738	105	9	eq	eq	NOUN
eaes-1738	105	10	.	.	PROPN
eaes-1738	105	11	3	3	NUM
eaes-1738	105	12	)	)	PUNCT
eaes-1738	105	13	.	.	PUNCT
eaes-1738	106	1	(	(	PUNCT
eaes-1738	106	2	1	1	X
eaes-1738	106	3	)	)	PUNCT
eaes-1738	106	4	(	(	PUNCT
eaes-1738	106	5	)	)	PUNCT
eaes-1738	106	6	(	(	PUNCT
eaes-1738	106	7	)	)	PUNCT
eaes-1738	106	8	(	(	PUNCT
eaes-1738	106	9	)	)	PUNCT
eaes-1738	106	10	(	(	PUNCT
eaes-1738	106	11	w	w	NOUN
eaes-1738	106	12	)	)	PUNCT
eaes-1738	106	13	l	l	NOUN
eaes-1738	106	14	l	l	NOUN
eaes-1738	106	15	l	l	X
eaes-1738	106	16	la	la	X
eaes-1738	106	17	f	f	PROPN
eaes-1738	107	1	a	a	DET
eaes-1738	107	2	b	b	NOUN
eaes-1738	107	3			NOUN
eaes-1738	107	4			PUNCT
eaes-1738	107	5	(	(	PUNCT
eaes-1738	107	6	3	3	NUM
eaes-1738	107	7	)	)	PUNCT
eaes-1738	107	8	,	,	PUNCT
eaes-1738	107	9	where	where	SCONJ
eaes-1738	107	10	w(l	w(l	PROPN
eaes-1738	107	11	)	)	PUNCT
eaes-1738	107	12	,	,	PUNCT
eaes-1738	107	13	a(l	a(l	PROPN
eaes-1738	107	14	)	)	PUNCT
eaes-1738	107	15	and	and	CCONJ
eaes-1738	107	16	b(l	b(l	PROPN
eaes-1738	107	17	)	)	PUNCT
eaes-1738	107	18	represent	represent	VERB
eaes-1738	107	19	weights	weight	NOUN
eaes-1738	107	20	,	,	PUNCT
eaes-1738	107	21	actuation	actuation	NOUN
eaes-1738	107	22	’s	’s	PART
eaes-1738	107	23	and	and	CCONJ
eaes-1738	107	24	bias	bias	VERB
eaes-1738	107	25	for	for	ADP
eaes-1738	107	26	layer	layer	NOUN
eaes-1738	107	27	l	l	NOUN
eaes-1738	107	28	,	,	PUNCT
eaes-1738	107	29	respectively	respectively	ADV
eaes-1738	107	30	.	.	PUNCT
eaes-1738	108	1	finally	finally	ADV
eaes-1738	108	2	,	,	PUNCT
eaes-1738	108	3	the	the	DET
eaes-1738	108	4	wdnn	wdnn	NOUN
eaes-1738	108	5	for	for	ADP
eaes-1738	108	6	the	the	DET
eaes-1738	108	7	logistic	logistic	ADJ
eaes-1738	108	8	regression	regression	NOUN
eaes-1738	108	9	problem	problem	NOUN
eaes-1738	108	10	(	(	PUNCT
eaes-1738	108	11	y	y	NOUN
eaes-1738	108	12	)	)	PUNCT
eaes-1738	108	13	can	can	AUX
eaes-1738	108	14	be	be	AUX
eaes-1738	108	15	formulated	formulate	VERB
eaes-1738	108	16	as	as	ADP
eaes-1738	108	17	the	the	DET
eaes-1738	108	18	following	follow	VERB
eaes-1738	108	19	(	(	PUNCT
eaes-1738	108	20	eq	eq	NOUN
eaes-1738	108	21	.	.	PROPN
eaes-1738	108	22	4	4	NUM
eaes-1738	108	23	)	)	PUNCT
eaes-1738	108	24	:	:	PUNCT
eaes-1738	108	25	(	(	PUNCT
eaes-1738	108	26	)	)	PUNCT
eaes-1738	108	27	,	,	PUNCT
eaes-1738	108	28	)	)	PUNCT
eaes-1738	108	29	(	(	PUNCT
eaes-1738	108	30	1|	1|	NUM
eaes-1738	108	31	)	)	PUNCT
eaes-1738	108	32	(	(	PUNCT
eaes-1738	108	33	[	[	PUNCT
eaes-1738	108	34	(	(	PUNCT
eaes-1738	108	35	)	)	PUNCT
eaes-1738	108	36	]	]	PUNCT
eaes-1738	109	1	flt	flt	PROPN
eaes-1738	109	2	t	t	PROPN
eaes-1738	109	3	wide	wide	ADV
eaes-1738	109	4	deepp	deepp	PROPN
eaes-1738	109	5	y	y	PROPN
eaes-1738	109	6	w	w	PROPN
eaes-1738	109	7	wx	wx	PROPN
eaes-1738	109	8	x	x	X
eaes-1738	109	9	a	a	DET
eaes-1738	109	10	bx	bx	NOUN
eaes-1738	109	11			PROPN
eaes-1738	109	12			NOUN
eaes-1738	109	13			ADJ
eaes-1738	109	14			PUNCT
eaes-1738	109	15	(	(	PUNCT
eaes-1738	109	16	4	4	NUM
eaes-1738	109	17	)	)	PUNCT
eaes-1738	109	18	where	where	SCONJ
eaes-1738	109	19	σ	σ	PROPN
eaes-1738	109	20	(	(	PUNCT
eaes-1738	109	21	.	.	PUNCT
eaes-1738	109	22	)	)	PUNCT
eaes-1738	109	23	is	be	AUX
eaes-1738	109	24	the	the	DET
eaes-1738	109	25	sigmoid	sigmoid	NOUN
eaes-1738	109	26	function	function	NOUN
eaes-1738	109	27	,	,	PUNCT
eaes-1738	109	28	φ(x	φ(x	PROPN
eaes-1738	109	29	)	)	PUNCT
eaes-1738	109	30	is	be	AUX
eaes-1738	109	31	the	the	DET
eaes-1738	109	32	cross	cross	ADJ
eaes-1738	109	33	-	-	ADJ
eaes-1738	109	34	product	product	ADJ
eaes-1738	109	35	transformations	transformation	NOUN
eaes-1738	109	36	of	of	ADP
eaes-1738	109	37	x	x	SYM
eaes-1738	109	38	features	feature	NOUN
eaes-1738	109	39	and	and	CCONJ
eaes-1738	109	40	w.	w.	NOUN
eaes-1738	109	41	are	be	AUX
eaes-1738	109	42	the	the	DET
eaes-1738	109	43	weights	weight	NOUN
eaes-1738	109	44	.	.	PUNCT
eaes-1738	110	1	in	in	ADP
eaes-1738	110	2	our	our	PRON
eaes-1738	110	3	study	study	NOUN
eaes-1738	110	4	,	,	PUNCT
eaes-1738	110	5	the	the	DET
eaes-1738	110	6	wdnn	wdnn	PROPN
eaes-1738	110	7	model	model	NOUN
eaes-1738	110	8	applies	apply	VERB
eaes-1738	110	9	adadelta	adadelta	PROPN
eaes-1738	110	10	optimiser	optimiser	NOUN
eaes-1738	110	11	(	(	PUNCT
eaes-1738	110	12	duchi	duchi	PROPN
eaes-1738	110	13	,	,	PUNCT
eaes-1738	110	14	hazan	hazan	PROPN
eaes-1738	110	15	,	,	PUNCT
eaes-1738	110	16	&	&	CCONJ
eaes-1738	110	17	singer	singer	NOUN
eaes-1738	110	18	,	,	PUNCT
eaes-1738	110	19	2011	2011	NUM
eaes-1738	110	20	)	)	PUNCT
eaes-1738	110	21	for	for	ADP
eaes-1738	110	22	the	the	DET
eaes-1738	110	23	gradients	gradient	NOUN
eaes-1738	110	24	of	of	ADP
eaes-1738	110	25	the	the	DET
eaes-1738	110	26	deep	deep	ADJ
eaes-1738	110	27	part	part	NOUN
eaes-1738	110	28	,	,	PUNCT
eaes-1738	110	29	and	and	CCONJ
eaes-1738	110	30	implements	implement	VERB
eaes-1738	110	31	the	the	DET
eaes-1738	110	32	rectified	rectified	ADJ
eaes-1738	110	33	linear	linear	NOUN
eaes-1738	110	34	unit	unit	NOUN
eaes-1738	110	35	(	(	PUNCT
eaes-1738	110	36	relu	relu	NOUN
eaes-1738	110	37	)	)	PUNCT
eaes-1738	110	38	activation	activation	NOUN
eaes-1738	110	39	function	function	NOUN
eaes-1738	110	40	to	to	ADP
eaes-1738	110	41	each	each	DET
eaes-1738	110	42	layer	layer	NOUN
eaes-1738	110	43	of	of	ADP
eaes-1738	110	44	the	the	DET
eaes-1738	110	45	ann	ann	PROPN
eaes-1738	110	46	(	(	PUNCT
eaes-1738	110	47	lecun	lecun	PROPN
eaes-1738	110	48	,	,	PUNCT
eaes-1738	110	49	bengio	bengio	PROPN
eaes-1738	110	50	,	,	PUNCT
eaes-1738	110	51	&	&	CCONJ
eaes-1738	110	52	hinton	hinton	PROPN
eaes-1738	110	53	,	,	PUNCT
eaes-1738	110	54	2015	2015	NUM
eaes-1738	110	55	)	)	PUNCT
eaes-1738	110	56	.	.	PUNCT
eaes-1738	111	1	in	in	ADP
eaes-1738	111	2	overall	overall	ADJ
eaes-1738	111	3	,	,	PUNCT
eaes-1738	111	4	the	the	DET
eaes-1738	111	5	wdnn	wdnn	NOUN
eaes-1738	111	6	and	and	CCONJ
eaes-1738	111	7	the	the	DET
eaes-1738	111	8	random	random	ADJ
eaes-1738	111	9	forest	forest	NOUN
eaes-1738	111	10	models	model	NOUN
eaes-1738	111	11	provide	provide	VERB
eaes-1738	111	12	a	a	DET
eaes-1738	111	13	better	well	ADJ
eaes-1738	111	14	fit	fit	NOUN
eaes-1738	111	15	for	for	ADP
eaes-1738	111	16	the	the	DET
eaes-1738	111	17	30and	30and	NOUN
eaes-1738	111	18	365	365	NUM
eaes-1738	111	19	-	-	PUNCT
eaes-1738	111	20	day	day	NOUN
eaes-1738	111	21	emergency	emergency	NOUN
eaes-1738	111	22	readmission	readmission	NOUN
eaes-1738	111	23	problems	problem	NOUN
eaes-1738	111	24	.	.	PUNCT
eaes-1738	112	1	for	for	ADP
eaes-1738	112	2	the	the	DET
eaes-1738	112	3	365	365	NUM
eaes-1738	112	4	-	-	PUNCT
eaes-1738	112	5	day	day	NOUN
eaes-1738	112	6	,	,	PUNCT
eaes-1738	112	7	the	the	DET
eaes-1738	112	8	wdnn	wdnn	NOUN
eaes-1738	112	9	produces	produce	VERB
eaes-1738	112	10	a	a	DET
eaes-1738	112	11	marginally	marginally	ADV
eaes-1738	112	12	better	well	ADJ
eaes-1738	112	13	receiver	receiver	ADV
eaes-1738	112	14	-	-	PUNCT
eaes-1738	112	15	operating	operate	VERB
eaes-1738	112	16	characteristic	characteristic	NOUN
eaes-1738	112	17	(	(	PUNCT
eaes-1738	112	18	roc	roc	PROPN
eaes-1738	112	19	)	)	PUNCT
eaes-1738	112	20	compared	compare	VERB
eaes-1738	112	21	to	to	ADP
eaes-1738	112	22	the	the	DET
eaes-1738	112	23	random	random	ADJ
eaes-1738	112	24	forest	forest	NOUN
eaes-1738	112	25	,	,	PUNCT
eaes-1738	112	26	and	and	CCONJ
eaes-1738	112	27	significantly	significantly	ADV
eaes-1738	112	28	better	well	ADV
eaes-1738	112	29	roc	roc	PROPN
eaes-1738	112	30	compared	compare	VERB
eaes-1738	112	31	to	to	ADP
eaes-1738	112	32	the	the	DET
eaes-1738	112	33	logistic	logistic	ADJ
eaes-1738	112	34	regression	regression	NOUN
eaes-1738	112	35	(	(	PUNCT
eaes-1738	112	36	figure	figure	NOUN
eaes-1738	112	37	1	1	NUM
eaes-1738	112	38	)	)	PUNCT
eaes-1738	112	39	.	.	PUNCT
eaes-1738	113	1	also	also	ADV
eaes-1738	113	2	,	,	PUNCT
eaes-1738	113	3	the	the	DET
eaes-1738	113	4	wdnn	wdnn	NOUN
eaes-1738	113	5	models	model	NOUN
eaes-1738	113	6	have	have	VERB
eaes-1738	113	7	very	very	ADV
eaes-1738	113	8	strong	strong	ADJ
eaes-1738	113	9	precision	precision	NOUN
eaes-1738	113	10	(	(	PUNCT
eaes-1738	113	11	positive	positive	ADJ
eaes-1738	113	12	predictive	predictive	ADJ
eaes-1738	113	13	value	value	NOUN
eaes-1738	113	14	)	)	PUNCT
eaes-1738	113	15	,	,	PUNCT
eaes-1738	113	16	accuracy	accuracy	NOUN
eaes-1738	113	17	,	,	PUNCT
eaes-1738	113	18	and	and	CCONJ
eaes-1738	113	19	micro	micro	ADJ
eaes-1738	113	20	-	-	ADJ
eaes-1738	113	21	average	average	ADJ
eaes-1738	113	22	f1	f1	NOUN
eaes-1738	113	23	-	-	PUNCT
eaes-1738	113	24	score	score	NOUN
eaes-1738	113	25	.	.	PUNCT
eaes-1738	114	1	on	on	ADP
eaes-1738	114	2	the	the	DET
eaes-1738	114	3	other	other	ADJ
eaes-1738	114	4	hand	hand	NOUN
eaes-1738	114	5	,	,	PUNCT
eaes-1738	114	6	the	the	DET
eaes-1738	114	7	random	random	ADJ
eaes-1738	114	8	forest	forest	NOUN
eaes-1738	114	9	models	model	NOUN
eaes-1738	114	10	have	have	VERB
eaes-1738	114	11	very	very	ADV
eaes-1738	114	12	high	high	ADJ
eaes-1738	114	13	sensitivity	sensitivity	NOUN
eaes-1738	114	14	(	(	PUNCT
eaes-1738	114	15	true	true	ADJ
eaes-1738	114	16	positive	positive	ADJ
eaes-1738	114	17	rate	rate	NOUN
eaes-1738	114	18	)	)	PUNCT
eaes-1738	114	19	and	and	CCONJ
eaes-1738	114	20	f1	f1	NOUN
eaes-1738	114	21	-	-	PUNCT
eaes-1738	114	22	score	score	NOUN
eaes-1738	114	23	.	.	PUNCT
eaes-1738	115	1	because	because	SCONJ
eaes-1738	115	2	the	the	DET
eaes-1738	115	3	classes	class	NOUN
eaes-1738	115	4	are	be	AUX
eaes-1738	115	5	highly	highly	ADV
eaes-1738	115	6	unbalanced	unbalanced	ADJ
eaes-1738	115	7	,	,	PUNCT
eaes-1738	115	8	the	the	DET
eaes-1738	115	9	precision	precision	NOUN
eaes-1738	115	10	-	-	PUNCT
eaes-1738	115	11	recall	recall	NOUN
eaes-1738	115	12	curve	curve	NOUN
eaes-1738	115	13	(	(	PUNCT
eaes-1738	115	14	figure	figure	NOUN
eaes-1738	115	15	2	2	NUM
eaes-1738	115	16	)	)	PUNCT
eaes-1738	115	17	was	be	AUX
eaes-1738	115	18	used	use	VERB
eaes-1738	115	19	,	,	PUNCT
eaes-1738	115	20	to	to	PART
eaes-1738	115	21	compare	compare	VERB
eaes-1738	115	22	the	the	DET
eaes-1738	115	23	area	area	NOUN
eaes-1738	115	24	under	under	ADP
eaes-1738	115	25	the	the	DET
eaes-1738	115	26	curve	curve	NOUN
eaes-1738	115	27	,	,	PUNCT
eaes-1738	115	28	average	average	ADJ
eaes-1738	115	29	precision	precision	NOUN
eaes-1738	115	30	and	and	CCONJ
eaes-1738	115	31	average	average	ADJ
eaes-1738	115	32	recall	recall	NOUN
eaes-1738	115	33	.	.	PUNCT
eaes-1738	116	1	the	the	DET
eaes-1738	116	2	plot	plot	NOUN
eaes-1738	116	3	demonstrates	demonstrate	VERB
eaes-1738	116	4	that	that	SCONJ
eaes-1738	116	5	the	the	DET
eaes-1738	116	6	area	area	NOUN
eaes-1738	116	7	under	under	ADP
eaes-1738	116	8	the	the	DET
eaes-1738	116	9	curves	curve	NOUN
eaes-1738	116	10	are	be	AUX
eaes-1738	116	11	significantly	significantly	ADV
eaes-1738	116	12	lower	low	ADJ
eaes-1738	116	13	for	for	ADP
eaes-1738	116	14	30	30	NUM
eaes-1738	116	15	-	-	PUNCT
eaes-1738	116	16	day	day	NOUN
eaes-1738	116	17	models	model	NOUN
eaes-1738	116	18	compared	compare	VERB
eaes-1738	116	19	to	to	ADP
eaes-1738	116	20	365	365	NUM
eaes-1738	116	21	-	-	PUNCT
eaes-1738	116	22	day	day	NOUN
eaes-1738	116	23	models	model	NOUN
eaes-1738	116	24	.	.	PUNCT
eaes-1738	117	1	also	also	ADV
eaes-1738	117	2	,	,	PUNCT
eaes-1738	117	3	sample-2	sample-2	NUM
eaes-1738	117	4	models	model	NOUN
eaes-1738	117	5	have	have	VERB
eaes-1738	117	6	a	a	DET
eaes-1738	117	7	bigger	big	ADJ
eaes-1738	117	8	area	area	NOUN
eaes-1738	117	9	under	under	ADP
eaes-1738	117	10	the	the	DET
eaes-1738	117	11	curve	curve	NOUN
eaes-1738	117	12	across	across	ADP
eaes-1738	117	13	the	the	DET
eaes-1738	117	14	models	model	NOUN
eaes-1738	117	15	.	.	PUNCT
eaes-1738	118	1	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	118	2	energy	energy	NOUN
eaes-1738	118	3	and	and	CCONJ
eaes-1738	118	4	earth	earth	NOUN
eaes-1738	118	5	science	science	NOUN
eaes-1738	118	6	vol	vol	NOUN
eaes-1738	118	7	.	.	PROPN
eaes-1738	119	1	1	1	NUM
eaes-1738	119	2	,	,	PUNCT
eaes-1738	119	3	no	no	INTJ
eaes-1738	119	4	.	.	NOUN
eaes-1738	119	5	1	1	NUM
eaes-1738	119	6	,	,	PUNCT
eaes-1738	119	7	2018	2018	NUM
eaes-1738	119	8	48	48	NUM
eaes-1738	119	9	published	publish	VERB
eaes-1738	119	10	by	by	ADP
eaes-1738	119	11	scholink	scholink	PROPN
eaes-1738	119	12	inc	inc	PROPN
eaes-1738	119	13	.	.	PROPN
eaes-1738	119	14	figure	figure	NOUN
eaes-1738	119	15	1	1	NUM
eaes-1738	119	16	.	.	PUNCT
eaes-1738	120	1	the	the	DET
eaes-1738	120	2	abstract	abstract	ADJ
eaes-1738	120	3	graph	graph	NOUN
eaes-1738	120	4	of	of	ADP
eaes-1738	120	5	the	the	DET
eaes-1738	120	6	wide	wide	ADJ
eaes-1738	120	7	and	and	CCONJ
eaes-1738	120	8	deep	deep	ADJ
eaes-1738	120	9	neural	neural	ADJ
eaes-1738	120	10	network	network	NOUN
eaes-1738	120	11	(	(	PUNCT
eaes-1738	120	12	wdnn	wdnn	NOUN
eaes-1738	120	13	)	)	PUNCT
eaes-1738	120	14	(	(	PUNCT
eaes-1738	120	15	a	a	X
eaes-1738	120	16	)	)	PUNCT
eaes-1738	120	17	receiver	receiver	NOUN
eaes-1738	120	18	operating	operate	VERB
eaes-1738	120	19	characteristic	characteristic	NOUN
eaes-1738	120	20	(	(	PUNCT
eaes-1738	120	21	roc	roc	PROPN
eaes-1738	120	22	)	)	PUNCT
eaes-1738	120	23	.	.	PUNCT
eaes-1738	121	1	(	(	PUNCT
eaes-1738	121	2	b	b	X
eaes-1738	121	3	)	)	PUNCT
eaes-1738	121	4	precision	precision	NOUN
eaes-1738	121	5	-	-	PUNCT
eaes-1738	121	6	recall	recall	NOUN
eaes-1738	121	7	curve	curve	NOUN
eaes-1738	121	8	.	.	PUNCT
eaes-1738	122	1	figure	figure	NOUN
eaes-1738	122	2	2	2	NUM
eaes-1738	122	3	.	.	PUNCT
eaes-1738	122	4	performance	performance	NOUN
eaes-1738	122	5	comparison	comparison	NOUN
eaes-1738	122	6	4	4	NUM
eaes-1738	122	7	.	.	PUNCT
eaes-1738	122	8	discussion	discussion	NOUN
eaes-1738	122	9	and	and	CCONJ
eaes-1738	122	10	conclusions	conclusion	NOUN
eaes-1738	122	11	we	we	PRON
eaes-1738	122	12	compared	compare	VERB
eaes-1738	122	13	the	the	DET
eaes-1738	122	14	performance	performance	NOUN
eaes-1738	122	15	of	of	ADP
eaes-1738	122	16	the	the	DET
eaes-1738	122	17	t	t	NOUN
eaes-1738	122	18	-	-	PUNCT
eaes-1738	122	19	carer	carer	NOUN
eaes-1738	122	20	against	against	ADP
eaes-1738	122	21	commonly	commonly	ADV
eaes-1738	122	22	used	use	VERB
eaes-1738	122	23	comorbidity	comorbidity	NOUN
eaes-1738	122	24	index	index	NOUN
eaes-1738	122	25	models	model	NOUN
eaes-1738	122	26	using	use	VERB
eaes-1738	122	27	different	different	ADJ
eaes-1738	122	28	samples	sample	NOUN
eaes-1738	122	29	and	and	CCONJ
eaes-1738	122	30	population	population	NOUN
eaes-1738	122	31	cohorts	cohort	NOUN
eaes-1738	122	32	across	across	ADP
eaes-1738	122	33	a	a	DET
eaes-1738	122	34	ten	ten	NUM
eaes-1738	122	35	year	year	NOUN
eaes-1738	122	36	period	period	NOUN
eaes-1738	122	37	.	.	PUNCT
eaes-1738	123	1	our	our	PRON
eaes-1738	123	2	analyses	analysis	NOUN
eaes-1738	123	3	of	of	ADP
eaes-1738	123	4	the	the	DET
eaes-1738	123	5	t	t	NOUN
eaes-1738	123	6	-	-	PUNCT
eaes-1738	123	7	carer	carer	NOUN
eaes-1738	123	8	and	and	CCONJ
eaes-1738	123	9	the	the	DET
eaes-1738	123	10	nhs	nhs	NOUN
eaes-1738	123	11	-	-	PUNCT
eaes-1738	123	12	cci	cci	PROPN
eaes-1738	123	13	for	for	ADP
eaes-1738	123	14	different	different	ADJ
eaes-1738	123	15	diagnoses	diagnosis	NOUN
eaes-1738	123	16	categories	category	NOUN
eaes-1738	123	17	demonstrated	demonstrate	VERB
eaes-1738	123	18	that	that	SCONJ
eaes-1738	123	19	our	our	PRON
eaes-1738	123	20	model	model	NOUN
eaes-1738	123	21	performed	perform	VERB
eaes-1738	123	22	best	well	ADV
eaes-1738	123	23	in	in	ADP
eaes-1738	123	24	the	the	DET
eaes-1738	123	25	majority	majority	NOUN
eaes-1738	123	26	of	of	ADP
eaes-1738	123	27	comorbidity	comorbidity	NOUN
eaes-1738	123	28	groups	group	NOUN
eaes-1738	123	29	,	,	PUNCT
eaes-1738	123	30	and	and	CCONJ
eaes-1738	123	31	in	in	ADP
eaes-1738	123	32	overall	overall	ADJ
eaes-1738	123	33	t	t	PROPN
eaes-1738	123	34	-	-	PUNCT
eaes-1738	123	35	carer	carer	NOUN
eaes-1738	123	36	models	model	NOUN
eaes-1738	123	37	show	show	VERB
eaes-1738	123	38	better	well	ADJ
eaes-1738	123	39	results	result	NOUN
eaes-1738	123	40	against	against	ADP
eaes-1738	123	41	previous	previous	ADJ
eaes-1738	123	42	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	123	43	energy	energy	NOUN
eaes-1738	123	44	and	and	CCONJ
eaes-1738	123	45	earth	earth	NOUN
eaes-1738	123	46	science	science	NOUN
eaes-1738	123	47	vol	vol	NOUN
eaes-1738	123	48	.	.	PROPN
eaes-1738	124	1	1	1	NUM
eaes-1738	124	2	,	,	PUNCT
eaes-1738	124	3	no	no	INTJ
eaes-1738	124	4	.	.	NOUN
eaes-1738	124	5	1	1	NUM
eaes-1738	124	6	,	,	PUNCT
eaes-1738	124	7	2018	2018	NUM
eaes-1738	124	8	49	49	NUM
eaes-1738	124	9	published	publish	VERB
eaes-1738	124	10	by	by	ADP
eaes-1738	124	11	scholink	scholink	PROPN
eaes-1738	124	12	inc	inc	PROPN
eaes-1738	124	13	.	.	PUNCT
eaes-1738	124	14	surveys	survey	NOUN
eaes-1738	124	15	of	of	ADP
eaes-1738	124	16	ccis	ccis	PROPN
eaes-1738	124	17	and	and	CCONJ
eaes-1738	124	18	ecis	ecis	NOUN
eaes-1738	124	19	.	.	PUNCT
eaes-1738	125	1	an	an	DET
eaes-1738	125	2	advanced	advanced	ADJ
eaes-1738	125	3	research	research	NOUN
eaes-1738	125	4	will	will	AUX
eaes-1738	125	5	be	be	AUX
eaes-1738	125	6	sought	seek	VERB
eaes-1738	125	7	to	to	PART
eaes-1738	125	8	identify	identify	VERB
eaes-1738	125	9	an	an	DET
eaes-1738	125	10	approach	approach	NOUN
eaes-1738	125	11	to	to	PART
eaes-1738	125	12	score	score	VERB
eaes-1738	125	13	commodities	commodity	NOUN
eaes-1738	125	14	by	by	ADP
eaes-1738	125	15	the	the	DET
eaes-1738	125	16	inclusion	inclusion	NOUN
eaes-1738	125	17	of	of	ADP
eaes-1738	125	18	diverse	diverse	ADJ
eaes-1738	125	19	categories	category	NOUN
eaes-1738	125	20	of	of	ADP
eaes-1738	125	21	diagnoses	diagnosis	NOUN
eaes-1738	125	22	,	,	PUNCT
eaes-1738	125	23	operations	operation	NOUN
eaes-1738	125	24	and	and	CCONJ
eaes-1738	125	25	complexities	complexity	NOUN
eaes-1738	125	26	.	.	PUNCT
eaes-1738	126	1	the	the	DET
eaes-1738	126	2	t	t	PROPN
eaes-1738	126	3	-	-	PUNCT
eaes-1738	126	4	carer	carer	NOUN
eaes-1738	126	5	performs	perform	VERB
eaes-1738	126	6	consistently	consistently	ADV
eaes-1738	126	7	across	across	ADP
eaes-1738	126	8	tests	test	NOUN
eaes-1738	126	9	and	and	CCONJ
eaes-1738	126	10	validations	validation	NOUN
eaes-1738	126	11	,	,	PUNCT
eaes-1738	126	12	and	and	CCONJ
eaes-1738	126	13	it	it	PRON
eaes-1738	126	14	outperformed	outperform	VERB
eaes-1738	126	15	against	against	ADP
eaes-1738	126	16	charl	charl	PROPN
eaes-1738	126	17	-	-	PUNCT
eaes-1738	126	18	son	son	NOUN
eaes-1738	126	19	and	and	CCONJ
eaes-1738	126	20	elixhauser	elixhauser	PROPN
eaes-1738	126	21	indices	index	NOUN
eaes-1738	126	22	which	which	PRON
eaes-1738	126	23	are	be	AUX
eaes-1738	126	24	widely	widely	ADV
eaes-1738	126	25	used	use	VERB
eaes-1738	126	26	for	for	ADP
eaes-1738	126	27	prediction	prediction	NOUN
eaes-1738	126	28	of	of	ADP
eaes-1738	126	29	comorbidity	comorbidity	NOUN
eaes-1738	126	30	risks	risk	NOUN
eaes-1738	126	31	.	.	PUNCT
eaes-1738	127	1	funding	funding	NOUN
eaes-1738	127	2	acknowledgement	acknowledgement	NOUN
eaes-1738	127	3	this	this	DET
eaes-1738	127	4	research	research	NOUN
eaes-1738	127	5	was	be	AUX
eaes-1738	127	6	in	in	ADP
eaes-1738	127	7	part	part	NOUN
eaes-1738	127	8	enlightened	enlighten	VERB
eaes-1738	127	9	by	by	ADP
eaes-1738	127	10	the	the	DET
eaes-1738	127	11	grant	grant	PROPN
eaes-1738	127	12	106efa0101550	106efa0101550	NUM
eaes-1738	127	13	of	of	ADP
eaes-1738	127	14	ministry	ministry	PROPN
eaes-1738	127	15	of	of	ADP
eaes-1738	127	16	science	science	NOUN
eaes-1738	127	17	and	and	CCONJ
eaes-1738	127	18	technology	technology	NOUN
eaes-1738	127	19	,	,	PUNCT
eaes-1738	127	20	taiwan	taiwan	PROPN
eaes-1738	127	21	.	.	PUNCT
eaes-1738	128	1	references	reference	NOUN
eaes-1738	128	2	ahrq	ahrq	PROPN
eaes-1738	128	3	.	.	PUNCT
eaes-1738	129	1	(	(	PUNCT
eaes-1738	129	2	2016	2016	NUM
eaes-1738	129	3	)	)	PUNCT
eaes-1738	129	4	.	.	PUNCT
eaes-1738	130	1	ahrq	ahrq	ADJ
eaes-1738	130	2	—	—	PUNCT
eaes-1738	130	3	hcup	hcup	NOUN
eaes-1738	130	4	—	—	PUNCT
eaes-1738	130	5	clinical	clinical	ADJ
eaes-1738	130	6	classifications	classification	NOUN
eaes-1738	130	7	software	software	NOUN
eaes-1738	130	8	(	(	PUNCT
eaes-1738	130	9	ccs	ccs	PROPN
eaes-1738	130	10	)	)	PUNCT
eaes-1738	130	11	for	for	ADP
eaes-1738	130	12	icd-10	icd-10	NOUN
eaes-1738	130	13	-	-	PUNCT
eaes-1738	130	14	cm	cm	NOUN
eaes-1738	130	15	(	(	PUNCT
eaes-1738	130	16	accessed	access	VERB
eaes-1738	130	17	1	1	NUM
eaes-1738	130	18	may	may	NOUN
eaes-1738	130	19	2018	2018	NUM
eaes-1738	130	20	)	)	PUNCT
eaes-1738	130	21	.	.	PUNCT
eaes-1738	131	1	retrieved	retrieve	VERB
eaes-1738	131	2	from	from	ADP
eaes-1738	131	3	https://www.hcup-us.ahrq.gov	https://www.hcup-us.ahrq.gov	PROPN
eaes-1738	131	4	ahrq	ahrq	NOUN
eaes-1738	131	5	.	.	PUNCT
eaes-1738	132	1	(	(	PUNCT
eaes-1738	132	2	2016	2016	NUM
eaes-1738	132	3	)	)	PUNCT
eaes-1738	132	4	.	.	PUNCT
eaes-1738	133	1	ahrq	ahrq	ADJ
eaes-1738	133	2	—	—	PUNCT
eaes-1738	133	3	hcup	hcup	NOUN
eaes-1738	133	4	—	—	PUNCT
eaes-1738	133	5	elixhauser	elixhauser	NOUN
eaes-1738	133	6	comorbidity	comorbidity	NOUN
eaes-1738	133	7	software	software	NOUN
eaes-1738	133	8	for	for	ADP
eaes-1738	133	9	icd-10	icd-10	NOUN
eaes-1738	133	10	-	-	PUNCT
eaes-1738	133	11	cm	cm	NOUN
eaes-1738	133	12	(	(	PUNCT
eaes-1738	133	13	accessed	access	VERB
eaes-1738	133	14	1	1	NUM
eaes-1738	133	15	may	may	NOUN
eaes-1738	133	16	2018	2018	NUM
eaes-1738	133	17	)	)	PUNCT
eaes-1738	133	18	.	.	PUNCT
eaes-1738	134	1	retrieved	retrieve	VERB
eaes-1738	134	2	from	from	ADP
eaes-1738	134	3	https://www.hcup-us.ahrq.gov	https://www.hcup-us.ahrq.gov	PROPN
eaes-1738	134	4	apache	apache	NOUN
eaes-1738	134	5	.	.	PUNCT
eaes-1738	135	1	(	(	PUNCT
eaes-1738	135	2	2016	2016	NUM
eaes-1738	135	3	)	)	PUNCT
eaes-1738	135	4	.	.	PUNCT
eaes-1738	136	1	apache	apache	NOUN
eaes-1738	136	2	license	license	PROPN
eaes-1738	136	3	,	,	PUNCT
eaes-1738	136	4	version	version	NOUN
eaes-1738	136	5	2.0	2.0	NUM
eaes-1738	136	6	(	(	PUNCT
eaes-1738	136	7	accessed	access	VERB
eaes-1738	136	8	1	1	NUM
eaes-1738	136	9	may	may	NOUN
eaes-1738	136	10	2018	2018	NUM
eaes-1738	136	11	)	)	PUNCT
eaes-1738	136	12	.	.	PUNCT
eaes-1738	137	1	retrieved	retrieve	VERB
eaes-1738	137	2	from	from	ADP
eaes-1738	137	3	https://www.apache.org	https://www.apache.org	X
eaes-1738	137	4	armitage	armitage	PROPN
eaes-1738	137	5	,	,	PUNCT
eaes-1738	137	6	j.	j.	PROPN
eaes-1738	137	7	,	,	PUNCT
eaes-1738	137	8	&	&	CCONJ
eaes-1738	137	9	van	van	PROPN
eaes-1738	137	10	der	der	PROPN
eaes-1738	137	11	meulen	meulen	PROPN
eaes-1738	137	12	,	,	PUNCT
eaes-1738	137	13	j.	j.	PROPN
eaes-1738	137	14	(	(	PUNCT
eaes-1738	137	15	2010	2010	NUM
eaes-1738	137	16	)	)	PUNCT
eaes-1738	137	17	.	.	PUNCT
eaes-1738	138	1	identifying	identify	VERB
eaes-1738	138	2	co	co	NOUN
eaes-1738	138	3	-	-	NOUN
eaes-1738	138	4	morbidity	morbidity	NOUN
eaes-1738	138	5	in	in	ADP
eaes-1738	138	6	surgical	surgical	ADJ
eaes-1738	138	7	patients	patient	NOUN
eaes-1738	138	8	using	use	VERB
eaes-1738	138	9	administrative	administrative	ADJ
eaes-1738	138	10	data	datum	NOUN
eaes-1738	138	11	with	with	ADP
eaes-1738	138	12	the	the	DET
eaes-1738	138	13	royal	royal	PROPN
eaes-1738	138	14	college	college	PROPN
eaes-1738	138	15	of	of	ADP
eaes-1738	138	16	surgeons	surgeon	NOUN
eaes-1738	138	17	charlson	charlson	NOUN
eaes-1738	138	18	score	score	NOUN
eaes-1738	138	19	.	.	PUNCT
eaes-1738	139	1	british	british	ADJ
eaes-1738	139	2	journal	journal	PROPN
eaes-1738	139	3	of	of	ADP
eaes-1738	139	4	surgery	surgery	NOUN
eaes-1738	139	5	,	,	PUNCT
eaes-1738	139	6	97(5	97(5	NOUN
eaes-1738	139	7	)	)	PUNCT
eaes-1738	139	8	,	,	PUNCT
eaes-1738	139	9	772	772	NUM
eaes-1738	139	10	-	-	SYM
eaes-1738	139	11	781	781	NUM
eaes-1738	139	12	.	.	PUNCT
eaes-1738	140	1	https://doi.org/10.1002/bjs.6930	https://doi.org/10.1002/bjs.6930	PROPN
eaes-1738	140	2	austin	austin	PROPN
eaes-1738	140	3	,	,	PUNCT
eaes-1738	140	4	p.	p.	PROPN
eaes-1738	140	5	c.	c.	PROPN
eaes-1738	140	6	,	,	PUNCT
eaes-1738	140	7	stanbrook	stanbrook	NOUN
eaes-1738	140	8	,	,	PUNCT
eaes-1738	140	9	m.	m.	PROPN
eaes-1738	140	10	b.	b.	PROPN
eaes-1738	140	11	,	,	PUNCT
eaes-1738	140	12	anderson	anderson	PROPN
eaes-1738	140	13	,	,	PUNCT
eaes-1738	140	14	m.	m.	PROPN
eaes-1738	140	15	b.	b.	PROPN
eaes-1738	140	16	,	,	PUNCT
eaes-1738	140	17	newman	newman	PROPN
eaes-1738	140	18	,	,	PUNCT
eaes-1738	140	19	a.	a.	PROPN
eaes-1738	140	20	,	,	PUNCT
eaes-1738	140	21	&	&	CCONJ
eaes-1738	140	22	gershon	gershon	PROPN
eaes-1738	140	23	,	,	PUNCT
eaes-1738	140	24	a.	a.	PROPN
eaes-1738	140	25	s.	s.	PROPN
eaes-1738	140	26	(	(	PUNCT
eaes-1738	140	27	2012	2012	NUM
eaes-1738	140	28	)	)	PUNCT
eaes-1738	140	29	.	.	PUNCT
eaes-1738	141	1	comparative	comparative	ADJ
eaes-1738	141	2	ability	ability	NOUN
eaes-1738	141	3	of	of	ADP
eaes-1738	141	4	comorbidity	comorbidity	NOUN
eaes-1738	141	5	classification	classification	NOUN
eaes-1738	141	6	methods	method	NOUN
eaes-1738	141	7	for	for	ADP
eaes-1738	141	8	administrative	administrative	ADJ
eaes-1738	141	9	data	datum	NOUN
eaes-1738	141	10	to	to	PART
eaes-1738	141	11	predict	predict	VERB
eaes-1738	141	12	outcomes	outcome	NOUN
eaes-1738	141	13	in	in	ADP
eaes-1738	141	14	patients	patient	NOUN
eaes-1738	141	15	with	with	ADP
eaes-1738	141	16	chronic	chronic	ADJ
eaes-1738	141	17	obstructive	obstructive	ADJ
eaes-1738	141	18	pulmonary	pulmonary	ADJ
eaes-1738	141	19	disease	disease	NOUN
eaes-1738	141	20	.	.	PUNCT
eaes-1738	142	1	annals	annal	NOUN
eaes-1738	142	2	of	of	ADP
eaes-1738	142	3	epidemiology	epidemiology	NOUN
eaes-1738	142	4	,	,	PUNCT
eaes-1738	142	5	22(12	22(12	NUM
eaes-1738	142	6	)	)	PUNCT
eaes-1738	142	7	,	,	PUNCT
eaes-1738	142	8	881	881	NUM
eaes-1738	142	9	-	-	SYM
eaes-1738	142	10	887	887	NUM
eaes-1738	142	11	.	.	PUNCT
eaes-1738	143	1	https://doi.org/10.1016/j.annepidem.2012.09.011	https://doi.org/10.1016/j.annepidem.2012.09.011	NOUN
eaes-1738	143	2	aylin	aylin	VERB
eaes-1738	143	3	,	,	PUNCT
eaes-1738	143	4	p.	p.	NOUN
eaes-1738	143	5	,	,	PUNCT
eaes-1738	143	6	bottle	bottle	NOUN
eaes-1738	143	7	,	,	PUNCT
eaes-1738	143	8	a.	a.	PROPN
eaes-1738	143	9	,	,	PUNCT
eaes-1738	143	10	jen	jen	PROPN
eaes-1738	143	11	,	,	PUNCT
eaes-1738	143	12	m.	m.	PROPN
eaes-1738	143	13	h.	h.	PROPN
eaes-1738	143	14	,	,	PUNCT
eaes-1738	143	15	middleton	middleton	PROPN
eaes-1738	143	16	,	,	PUNCT
eaes-1738	143	17	s.	s.	PROPN
eaes-1738	143	18	,	,	PUNCT
eaes-1738	143	19	&	&	CCONJ
eaes-1738	143	20	intelligence	intelligence	PROPN
eaes-1738	143	21	,	,	PUNCT
eaes-1738	143	22	f.	f.	PROPN
eaes-1738	143	23	(	(	PUNCT
eaes-1738	143	24	2010	2010	NUM
eaes-1738	143	25	)	)	PUNCT
eaes-1738	143	26	.	.	PUNCT
eaes-1738	144	1	hsmr	hsmr	NOUN
eaes-1738	144	2	mortality	mortality	NOUN
eaes-1738	144	3	indicators	indicator	NOUN
eaes-1738	144	4	(	(	PUNCT
eaes-1738	144	5	accessed	access	VERB
eaes-1738	144	6	1	1	NUM
eaes-1738	144	7	may	may	NOUN
eaes-1738	144	8	2018	2018	NUM
eaes-1738	144	9	)	)	PUNCT
eaes-1738	144	10	.	.	PUNCT
eaes-1738	145	1	retrieved	retrieve	VERB
eaes-1738	145	2	from	from	ADP
eaes-1738	145	3	https://www1.imperial.ac.uk	https://www1.imperial.ac.uk	PROPN
eaes-1738	145	4	bottle	bottle	NOUN
eaes-1738	145	5	,	,	PUNCT
eaes-1738	145	6	a.	a.	PROPN
eaes-1738	145	7	,	,	PUNCT
eaes-1738	145	8	jarman	jarman	PROPN
eaes-1738	145	9	,	,	PUNCT
eaes-1738	145	10	b.	b.	PROPN
eaes-1738	145	11	,	,	PUNCT
eaes-1738	145	12	&	&	CCONJ
eaes-1738	145	13	aylin	aylin	PROPN
eaes-1738	145	14	,	,	PUNCT
eaes-1738	145	15	p.	p.	NOUN
eaes-1738	145	16	(	(	PUNCT
eaes-1738	145	17	2011	2011	NUM
eaes-1738	145	18	)	)	PUNCT
eaes-1738	145	19	.	.	PUNCT
eaes-1738	146	1	strengths	strength	NOUN
eaes-1738	146	2	and	and	CCONJ
eaes-1738	146	3	weaknesses	weakness	NOUN
eaes-1738	146	4	of	of	ADP
eaes-1738	146	5	hospital	hospital	NOUN
eaes-1738	146	6	standardized	standardize	VERB
eaes-1738	146	7	mortality	mortality	NOUN
eaes-1738	146	8	ratios	ratio	NOUN
eaes-1738	146	9	.	.	PUNCT
eaes-1738	147	1	bmj	bmj	PROPN
eaes-1738	147	2	,	,	PUNCT
eaes-1738	147	3	342	342	NUM
eaes-1738	147	4	,	,	PUNCT
eaes-1738	147	5	c7116	c7116	PROPN
eaes-1738	147	6	.	.	PUNCT
eaes-1738	147	7	https://doi.org/10.1136/bmj.c7116	https://doi.org/10.1136/bmj.c7116	PROPN
eaes-1738	147	8	breiman	breiman	NOUN
eaes-1738	147	9	,	,	PUNCT
eaes-1738	147	10	l.	l.	PROPN
eaes-1738	147	11	(	(	PUNCT
eaes-1738	147	12	1996	1996	NUM
eaes-1738	147	13	)	)	PUNCT
eaes-1738	147	14	.	.	PUNCT
eaes-1738	148	1	bagging	bag	VERB
eaes-1738	148	2	predictors	predictor	NOUN
eaes-1738	148	3	.	.	PUNCT
eaes-1738	149	1	machine	machine	NOUN
eaes-1738	149	2	learning	learning	NOUN
eaes-1738	149	3	,	,	PUNCT
eaes-1738	149	4	24(2	24(2	NUM
eaes-1738	149	5	)	)	PUNCT
eaes-1738	149	6	,	,	PUNCT
eaes-1738	149	7	123	123	NUM
eaes-1738	149	8	-	-	SYM
eaes-1738	149	9	140	140	NUM
eaes-1738	149	10	.	.	PUNCT
eaes-1738	150	1	https://doi.org/10.1007/bf00058655	https://doi.org/10.1007/bf00058655	PROPN
eaes-1738	150	2	breiman	breiman	NOUN
eaes-1738	150	3	,	,	PUNCT
eaes-1738	150	4	l.	l.	PROPN
eaes-1738	150	5	(	(	PUNCT
eaes-1738	150	6	2001	2001	NUM
eaes-1738	150	7	)	)	PUNCT
eaes-1738	150	8	.	.	PUNCT
eaes-1738	151	1	random	random	ADJ
eaes-1738	151	2	forests	forest	NOUN
eaes-1738	151	3	.	.	PUNCT
eaes-1738	152	1	machine	machine	NOUN
eaes-1738	152	2	learning	learning	PROPN
eaes-1738	152	3	,	,	PUNCT
eaes-1738	152	4	45(1	45(1	NOUN
eaes-1738	152	5	)	)	PUNCT
eaes-1738	152	6	,	,	PUNCT
eaes-1738	152	7	5	5	NUM
eaes-1738	152	8	-	-	SYM
eaes-1738	152	9	32	32	NUM
eaes-1738	152	10	.	.	PUNCT
eaes-1738	153	1	https://doi.org/10.1023/a:1010933404324	https://doi.org/10.1023/a:1010933404324	ADJ
eaes-1738	153	2	breiman	breiman	NOUN
eaes-1738	153	3	,	,	PUNCT
eaes-1738	153	4	l.	l.	PROPN
eaes-1738	153	5	,	,	PUNCT
eaes-1738	153	6	friedman	friedman	PROPN
eaes-1738	153	7	,	,	PUNCT
eaes-1738	153	8	l.	l.	PROPN
eaes-1738	153	9	,	,	PUNCT
eaes-1738	153	10	stone	stone	PROPN
eaes-1738	153	11	,	,	PUNCT
eaes-1738	153	12	c.	c.	PROPN
eaes-1738	153	13	j.	j.	PROPN
eaes-1738	153	14	,	,	PUNCT
eaes-1738	153	15	&	&	CCONJ
eaes-1738	153	16	olshen	olshen	PROPN
eaes-1738	153	17	,	,	PUNCT
eaes-1738	153	18	r.	r.	PROPN
eaes-1738	153	19	a.	a.	PROPN
eaes-1738	153	20	(	(	PUNCT
eaes-1738	153	21	1984	1984	NUM
eaes-1738	153	22	)	)	PUNCT
eaes-1738	153	23	.	.	PUNCT
eaes-1738	154	1	classification	classification	NOUN
eaes-1738	154	2	and	and	CCONJ
eaes-1738	154	3	regression	regression	NOUN
eaes-1738	154	4	trees	tree	NOUN
eaes-1738	154	5	.	.	PUNCT
eaes-1738	155	1	charlson	charlson	NOUN
eaes-1738	155	2	,	,	PUNCT
eaes-1738	155	3	m.	m.	PROPN
eaes-1738	155	4	e.	e.	PROPN
eaes-1738	155	5	,	,	PUNCT
eaes-1738	155	6	pompei	pompei	PROPN
eaes-1738	155	7	,	,	PUNCT
eaes-1738	155	8	p.	p.	PROPN
eaes-1738	155	9	,	,	PUNCT
eaes-1738	155	10	ales	ale	NOUN
eaes-1738	155	11	,	,	PUNCT
eaes-1738	155	12	k.	k.	PROPN
eaes-1738	155	13	l.	l.	PROPN
eaes-1738	155	14	,	,	PUNCT
eaes-1738	155	15	&	&	CCONJ
eaes-1738	155	16	mackenzie	mackenzie	PROPN
eaes-1738	155	17	,	,	PUNCT
eaes-1738	155	18	c.	c.	PROPN
eaes-1738	155	19	r.	r.	PROPN
eaes-1738	155	20	(	(	PUNCT
eaes-1738	155	21	1987	1987	NUM
eaes-1738	155	22	)	)	PUNCT
eaes-1738	155	23	.	.	PUNCT
eaes-1738	156	1	a	a	DET
eaes-1738	156	2	new	new	ADJ
eaes-1738	156	3	method	method	NOUN
eaes-1738	156	4	of	of	ADP
eaes-1738	156	5	classifying	classify	VERB
eaes-1738	156	6	prognostic	prognostic	ADJ
eaes-1738	156	7	comorbidity	comorbidity	NOUN
eaes-1738	156	8	in	in	ADP
eaes-1738	156	9	longitudinal	longitudinal	ADJ
eaes-1738	156	10	studies	study	NOUN
eaes-1738	156	11	:	:	PUNCT
eaes-1738	156	12	development	development	NOUN
eaes-1738	156	13	and	and	CCONJ
eaes-1738	156	14	validation	validation	NOUN
eaes-1738	156	15	.	.	PUNCT
eaes-1738	157	1	journal	journal	NOUN
eaes-1738	157	2	of	of	ADP
eaes-1738	157	3	chronic	chronic	ADJ
eaes-1738	157	4	diseases	disease	NOUN
eaes-1738	157	5	,	,	PUNCT
eaes-1738	157	6	40(5	40(5	NOUN
eaes-1738	157	7	)	)	PUNCT
eaes-1738	157	8	,	,	PUNCT
eaes-1738	157	9	373	373	NUM
eaes-1738	157	10	-	-	SYM
eaes-1738	157	11	383	383	NUM
eaes-1738	157	12	.	.	PUNCT
eaes-1738	158	1	https://doi.org/10.1016/0021-9681(87)90171-8	https://doi.org/10.1016/0021-9681(87)90171-8	PROPN
eaes-1738	158	2	cheng	cheng	PROPN
eaes-1738	158	3	,	,	PUNCT
eaes-1738	158	4	h.-t	h.-t	NOUN
eaes-1738	158	5	.	.	PUNCT
eaes-1738	158	6	,	,	PUNCT
eaes-1738	158	7	koc	koc	PROPN
eaes-1738	158	8	,	,	PUNCT
eaes-1738	158	9	l.	l.	PROPN
eaes-1738	158	10	,	,	PUNCT
eaes-1738	158	11	harmsen	harmsen	PROPN
eaes-1738	158	12	,	,	PUNCT
eaes-1738	158	13	j.	j.	PROPN
eaes-1738	158	14	,	,	PUNCT
eaes-1738	158	15	shaked	shake	VERB
eaes-1738	158	16	,	,	PUNCT
eaes-1738	158	17	t.	t.	PROPN
eaes-1738	158	18	,	,	PUNCT
eaes-1738	158	19	chandra	chandra	PROPN
eaes-1738	158	20	,	,	PUNCT
eaes-1738	158	21	t.	t.	PROPN
eaes-1738	158	22	,	,	PUNCT
eaes-1738	158	23	aradhye	aradhye	ADJ
eaes-1738	158	24	,	,	PUNCT
eaes-1738	158	25	t.	t.	NOUN
eaes-1738	158	26	,	,	PUNCT
eaes-1738	158	27	…	…	PUNCT
eaes-1738	158	28	ispir	ispir	NOUN
eaes-1738	158	29	,	,	PUNCT
eaes-1738	158	30	m.	m.	NOUN
eaes-1738	158	31	(	(	PUNCT
eaes-1738	158	32	2016	2016	NUM
eaes-1738	158	33	)	)	PUNCT
eaes-1738	158	34	.	.	PUNCT
eaes-1738	159	1	wide	wide	ADJ
eaes-1738	159	2	&	&	CCONJ
eaes-1738	159	3	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	159	4	energy	energy	NOUN
eaes-1738	159	5	and	and	CCONJ
eaes-1738	159	6	earth	earth	NOUN
eaes-1738	159	7	science	science	NOUN
eaes-1738	159	8	vol	vol	NOUN
eaes-1738	159	9	.	.	PROPN
eaes-1738	160	1	1	1	NUM
eaes-1738	160	2	,	,	PUNCT
eaes-1738	160	3	no	no	INTJ
eaes-1738	160	4	.	.	NOUN
eaes-1738	160	5	1	1	NUM
eaes-1738	160	6	,	,	PUNCT
eaes-1738	160	7	2018	2018	NUM
eaes-1738	160	8	50	50	NUM
eaes-1738	160	9	published	publish	VERB
eaes-1738	160	10	by	by	ADP
eaes-1738	160	11	scholink	scholink	PROPN
eaes-1738	160	12	inc	inc	PROPN
eaes-1738	160	13	.	.	PROPN
eaes-1738	160	14	deep	deep	ADJ
eaes-1738	160	15	learning	learning	NOUN
eaes-1738	160	16	for	for	ADP
eaes-1738	160	17	recom	recom	NOUN
eaes-1738	160	18	mender	mender	NOUN
eaes-1738	160	19	systems	system	NOUN
eaes-1738	160	20	in	in	ADP
eaes-1738	160	21	:	:	PUNCT
eaes-1738	160	22	proceedings	proceeding	NOUN
eaes-1738	160	23	of	of	ADP
eaes-1738	160	24	the	the	DET
eaes-1738	160	25	1st	1st	ADJ
eaes-1738	160	26	workshop	workshop	NOUN
eaes-1738	160	27	on	on	ADP
eaes-1738	160	28	deep	deep	ADJ
eaes-1738	160	29	learning	learning	NOUN
eaes-1738	160	30	for	for	ADP
eaes-1738	160	31	recommender	recommender	NOUN
eaes-1738	160	32	systems	system	NOUN
eaes-1738	160	33	.	.	PUNCT
eaes-1738	161	1	acm	acm	PROPN
eaes-1738	161	2	,	,	PUNCT
eaes-1738	161	3	7	7	NUM
eaes-1738	161	4	-	-	SYM
eaes-1738	161	5	10	10	NUM
eaes-1738	161	6	.	.	PUNCT
eaes-1738	162	1	dfi	dfi	PROPN
eaes-1738	162	2	.	.	PUNCT
eaes-1738	163	1	(	(	PUNCT
eaes-1738	163	2	2013	2013	NUM
eaes-1738	163	3	)	)	PUNCT
eaes-1738	163	4	.	.	PUNCT
eaes-1738	164	1	my	my	PRON
eaes-1738	164	2	hospital	hospital	NOUN
eaes-1738	164	3	guide	guide	NOUN
eaes-1738	164	4	(	(	PUNCT
eaes-1738	164	5	accessed	access	VERB
eaes-1738	164	6	1	1	NUM
eaes-1738	164	7	may	may	NOUN
eaes-1738	164	8	2018	2018	NUM
eaes-1738	164	9	)	)	PUNCT
eaes-1738	164	10	.	.	PUNCT
eaes-1738	165	1	retrieved	retrieve	VERB
eaes-1738	165	2	from	from	ADP
eaes-1738	165	3	http://myhospitalguide.drfosterintelligence.co.uk	http://myhospitalguide.drfosterintelligence.co.uk	PROPN
eaes-1738	165	4	duchi	duchi	PROPN
eaes-1738	165	5	,	,	PUNCT
eaes-1738	165	6	j.	j.	PROPN
eaes-1738	165	7	,	,	PUNCT
eaes-1738	165	8	hazan	hazan	PROPN
eaes-1738	165	9	,	,	PUNCT
eaes-1738	165	10	e.	e.	PROPN
eaes-1738	165	11	,	,	PUNCT
eaes-1738	165	12	&	&	CCONJ
eaes-1738	165	13	singer	singer	NOUN
eaes-1738	165	14	,	,	PUNCT
eaes-1738	165	15	y.	y.	PROPN
eaes-1738	165	16	(	(	PUNCT
eaes-1738	165	17	2011	2011	NUM
eaes-1738	165	18	)	)	PUNCT
eaes-1738	165	19	.	.	PUNCT
eaes-1738	166	1	adaptive	adaptive	ADJ
eaes-1738	166	2	subgradient	subgradient	ADJ
eaes-1738	166	3	methods	method	NOUN
eaes-1738	166	4	for	for	ADP
eaes-1738	166	5	online	online	ADJ
eaes-1738	166	6	learning	learning	NOUN
eaes-1738	166	7	and	and	CCONJ
eaes-1738	166	8	stochastic	stochastic	ADJ
eaes-1738	166	9	optimization	optimization	NOUN
eaes-1738	166	10	.	.	PUNCT
eaes-1738	167	1	journal	journal	NOUN
eaes-1738	167	2	of	of	ADP
eaes-1738	167	3	machine	machine	NOUN
eaes-1738	167	4	learning	learn	VERB
eaes-1738	167	5	research	research	NOUN
eaes-1738	167	6	,	,	PUNCT
eaes-1738	167	7	12	12	NUM
eaes-1738	167	8	,	,	PUNCT
eaes-1738	167	9	2121	2121	NUM
eaes-1738	167	10	-	-	SYM
eaes-1738	167	11	2159	2159	NUM
eaes-1738	167	12	.	.	PUNCT
eaes-1738	168	1	elixhauser	elixhauser	PROPN
eaes-1738	168	2	,	,	PUNCT
eaes-1738	168	3	a.	a.	PROPN
eaes-1738	168	4	,	,	PUNCT
eaes-1738	168	5	&	&	CCONJ
eaes-1738	168	6	steiner	steiner	PROPN
eaes-1738	168	7	,	,	PUNCT
eaes-1738	168	8	c.	c.	PROPN
eaes-1738	168	9	(	(	PUNCT
eaes-1738	168	10	2006	2006	NUM
eaes-1738	168	11	)	)	PUNCT
eaes-1738	168	12	.	.	PUNCT
eaes-1738	169	1	readmissions	readmission	NOUN
eaes-1738	169	2	to	to	ADP
eaes-1738	169	3	us	us	PROPN
eaes-1738	169	4	hospitals	hospital	NOUN
eaes-1738	169	5	by	by	ADP
eaes-1738	169	6	diagnosis	diagnosis	NOUN
eaes-1738	169	7	,	,	PUNCT
eaes-1738	169	8	2010	2010	NUM
eaes-1738	169	9	:	:	PUNCT
eaes-1738	169	10	sta	sta	PROPN
eaes-1738	169	11	tistical	tistical	ADJ
eaes-1738	169	12	brief	brief	ADJ
eaes-1738	169	13	#	#	SYM
eaes-1738	169	14	153	153	NUM
eaes-1738	169	15	.	.	PUNCT
eaes-1738	170	1	elixhauser	elixhauser	PROPN
eaes-1738	170	2	,	,	PUNCT
eaes-1738	170	3	a.	a.	NOUN
eaes-1738	170	4	,	,	PUNCT
eaes-1738	170	5	steiner	steiner	PROPN
eaes-1738	170	6	,	,	PUNCT
eaes-1738	170	7	a.	a.	PROPN
eaes-1738	170	8	,	,	PUNCT
eaes-1738	170	9	harris	harris	PROPN
eaes-1738	170	10	,	,	PUNCT
eaes-1738	170	11	d.	d.	PROPN
eaes-1738	170	12	r.	r.	PROPN
eaes-1738	170	13	,	,	PUNCT
eaes-1738	170	14	&	&	CCONJ
eaes-1738	170	15	coffey	coffey	PROPN
eaes-1738	170	16	,	,	PUNCT
eaes-1738	170	17	d.	d.	PROPN
eaes-1738	170	18	r.	r.	PROPN
eaes-1738	170	19	(	(	PUNCT
eaes-1738	170	20	1998	1998	NUM
eaes-1738	170	21	)	)	PUNCT
eaes-1738	170	22	.	.	PUNCT
eaes-1738	171	1	comorbidity	comorbidity	NOUN
eaes-1738	171	2	measures	measure	NOUN
eaes-1738	171	3	for	for	ADP
eaes-1738	171	4	use	use	NOUN
eaes-1738	171	5	with	with	ADP
eaes-1738	171	6	administrative	administrative	ADJ
eaes-1738	171	7	data	datum	NOUN
eaes-1738	171	8	.	.	PUNCT
eaes-1738	172	1	medical	medical	ADJ
eaes-1738	172	2	care	care	NOUN
eaes-1738	172	3	,	,	PUNCT
eaes-1738	172	4	36(1	36(1	NUM
eaes-1738	172	5	)	)	PUNCT
eaes-1738	172	6	,	,	PUNCT
eaes-1738	172	7	8	8	NUM
eaes-1738	172	8	-	-	SYM
eaes-1738	172	9	27	27	NUM
eaes-1738	172	10	.	.	PUNCT
eaes-1738	173	1	https://doi.org/10.1097/00005650-199801000-00004	https://doi.org/10.1097/00005650-199801000-00004	PROPN
eaes-1738	173	2	fan	fan	PROPN
eaes-1738	173	3	,	,	PUNCT
eaes-1738	173	4	r.-e	r.-e	PROPN
eaes-1738	173	5	.	.	PROPN
eaes-1738	173	6	,	,	PUNCT
eaes-1738	173	7	chang	chang	PROPN
eaes-1738	173	8	,	,	PUNCT
eaes-1738	173	9	k.-w	k.-w	PROPN
eaes-1738	173	10	.	.	PROPN
eaes-1738	173	11	,	,	PUNCT
eaes-1738	173	12	hsieh	hsieh	PROPN
eaes-1738	173	13	,	,	PUNCT
eaes-1738	173	14	c.-j	c.-j	PROPN
eaes-1738	173	15	.	.	PROPN
eaes-1738	173	16	,	,	PUNCT
eaes-1738	173	17	wang	wang	PROPN
eaes-1738	173	18	,	,	PUNCT
eaes-1738	173	19	x.-r	x.-r	PROPN
eaes-1738	173	20	.	.	PROPN
eaes-1738	173	21	,	,	PUNCT
eaes-1738	173	22	&	&	CCONJ
eaes-1738	173	23	lin	lin	PROPN
eaes-1738	173	24	,	,	PUNCT
eaes-1738	173	25	c.-j	c.-j	PROPN
eaes-1738	173	26	.	.	PUNCT
eaes-1738	174	1	(	(	PUNCT
eaes-1738	174	2	2008	2008	NUM
eaes-1738	174	3	)	)	PUNCT
eaes-1738	174	4	.	.	PUNCT
eaes-1738	175	1	liblinear	liblinear	ADV
eaes-1738	175	2	:	:	PUNCT
eaes-1738	175	3	a	a	DET
eaes-1738	175	4	library	library	NOUN
eaes-1738	175	5	for	for	ADP
eaes-1738	175	6	large	large	ADJ
eaes-1738	175	7	linear	linear	ADJ
eaes-1738	175	8	classification	classification	NOUN
eaes-1738	175	9	.	.	PUNCT
eaes-1738	176	1	journal	journal	NOUN
eaes-1738	176	2	of	of	ADP
eaes-1738	176	3	machine	machine	NOUN
eaes-1738	176	4	learning	learn	VERB
eaes-1738	176	5	research	research	NOUN
eaes-1738	176	6	,	,	PUNCT
eaes-1738	176	7	9	9	NUM
eaes-1738	176	8	,	,	PUNCT
eaes-1738	176	9	1871	1871	NUM
eaes-1738	176	10	-	-	SYM
eaes-1738	176	11	1874	1874	NUM
eaes-1738	176	12	.	.	PUNCT
eaes-1738	177	1	fetter	fetter	PROPN
eaes-1738	177	2	,	,	PUNCT
eaes-1738	177	3	r.	r.	PROPN
eaes-1738	177	4	b.	b.	PROPN
eaes-1738	177	5	,	,	PUNCT
eaes-1738	177	6	shin	shin	PROPN
eaes-1738	177	7	,	,	PUNCT
eaes-1738	177	8	y.	y.	PROPN
eaes-1738	177	9	,	,	PUNCT
eaes-1738	177	10	freeman	freeman	PROPN
eaes-1738	177	11	,	,	PUNCT
eaes-1738	177	12	j.	j.	PROPN
eaes-1738	177	13	l.	l.	PROPN
eaes-1738	177	14	,	,	PUNCT
eaes-1738	177	15	averill	averill	PROPN
eaes-1738	177	16	,	,	PUNCT
eaes-1738	177	17	r.	r.	PROPN
eaes-1738	177	18	f.	f.	PROPN
eaes-1738	177	19	,	,	PUNCT
eaes-1738	177	20	&	&	CCONJ
eaes-1738	177	21	thompson	thompson	PROPN
eaes-1738	177	22	,	,	PUNCT
eaes-1738	177	23	j.	j.	PROPN
eaes-1738	177	24	d.	d.	PROPN
eaes-1738	177	25	(	(	PUNCT
eaes-1738	177	26	1980	1980	NUM
eaes-1738	177	27	)	)	PUNCT
eaes-1738	177	28	.	.	PUNCT
eaes-1738	178	1	case	case	NOUN
eaes-1738	178	2	mix	mix	NOUN
eaes-1738	178	3	definition	definition	NOUN
eaes-1738	178	4	by	by	ADP
eaes-1738	178	5	diagnosis	diagnosis	NOUN
eaes-1738	178	6	-	-	PUNCT
eaes-1738	178	7	related	relate	VERB
eaes-1738	178	8	groups	group	NOUN
eaes-1738	178	9	.	.	PUNCT
eaes-1738	179	1	medical	medical	ADJ
eaes-1738	179	2	care	care	NOUN
eaes-1738	179	3	,	,	PUNCT
eaes-1738	179	4	18(2	18(2	NUM
eaes-1738	179	5	)	)	PUNCT
eaes-1738	179	6	,	,	PUNCT
eaes-1738	179	7	53	53	NUM
eaes-1738	179	8	.	.	PUNCT
eaes-1738	180	1	gagne	gagne	PROPN
eaes-1738	180	2	,	,	PUNCT
eaes-1738	180	3	j.	j.	PROPN
eaes-1738	180	4	j.	j.	PROPN
eaes-1738	180	5	,	,	PUNCT
eaes-1738	180	6	glynn	glynn	PROPN
eaes-1738	180	7	,	,	PUNCT
eaes-1738	180	8	r.	r.	PROPN
eaes-1738	180	9	j.	j.	PROPN
eaes-1738	180	10	,	,	PUNCT
eaes-1738	180	11	avorn	avorn	PROPN
eaes-1738	180	12	,	,	PUNCT
eaes-1738	180	13	j.	j.	PROPN
eaes-1738	180	14	,	,	PUNCT
eaes-1738	180	15	levin	levin	PROPN
eaes-1738	180	16	,	,	PUNCT
eaes-1738	180	17	r.	r.	PROPN
eaes-1738	180	18	,	,	PUNCT
eaes-1738	180	19	&	&	CCONJ
eaes-1738	180	20	schneeweiss	schneeweiss	PROPN
eaes-1738	180	21	,	,	PUNCT
eaes-1738	180	22	s.	s.	PROPN
eaes-1738	180	23	(	(	PUNCT
eaes-1738	180	24	2011	2011	NUM
eaes-1738	180	25	)	)	PUNCT
eaes-1738	180	26	.	.	PUNCT
eaes-1738	181	1	a	a	DET
eaes-1738	181	2	combined	combine	VERB
eaes-1738	181	3	comorbidity	comorbidity	NOUN
eaes-1738	181	4	score	score	NOUN
eaes-1738	181	5	predicted	predict	VERB
eaes-1738	181	6	mortality	mortality	NOUN
eaes-1738	181	7	in	in	ADP
eaes-1738	181	8	elderly	elderly	ADJ
eaes-1738	181	9	patients	patient	NOUN
eaes-1738	181	10	better	well	ADV
eaes-1738	181	11	than	than	ADP
eaes-1738	181	12	existing	exist	VERB
eaes-1738	181	13	scores	score	NOUN
eaes-1738	181	14	.	.	PUNCT
eaes-1738	182	1	journal	journal	NOUN
eaes-1738	182	2	of	of	ADP
eaes-1738	182	3	clinical	clinical	ADJ
eaes-1738	182	4	epidemiology	epidemiology	NOUN
eaes-1738	182	5	,	,	PUNCT
eaes-1738	182	6	64(7	64(7	NOUN
eaes-1738	182	7	)	)	PUNCT
eaes-1738	182	8	,	,	PUNCT
eaes-1738	182	9	749	749	NUM
eaes-1738	182	10	-	-	SYM
eaes-1738	182	11	759	759	NUM
eaes-1738	182	12	.	.	PUNCT
eaes-1738	183	1	https://doi.org/10.1016/j.jclinepi.2010.10.004	https://doi.org/10.1016/j.jclinepi.2010.10.004	PROPN
eaes-1738	183	2	hawkins	hawkin	NOUN
eaes-1738	183	3	,	,	PUNCT
eaes-1738	183	4	j.	j.	PROPN
eaes-1738	183	5	,	,	PUNCT
eaes-1738	183	6	&	&	CCONJ
eaes-1738	183	7	blakeslee	blakeslee	PROPN
eaes-1738	183	8	,	,	PUNCT
eaes-1738	183	9	s.	s.	PROPN
eaes-1738	183	10	(	(	PUNCT
eaes-1738	183	11	2007	2007	NUM
eaes-1738	183	12	)	)	PUNCT
eaes-1738	183	13	.	.	PUNCT
eaes-1738	184	1	on	on	ADP
eaes-1738	184	2	intelligence	intelligence	NOUN
eaes-1738	184	3	.	.	PUNCT
eaes-1738	185	1	holman	holman	PROPN
eaes-1738	185	2	,	,	PUNCT
eaes-1738	185	3	c.	c.	PROPN
eaes-1738	185	4	j.	j.	PROPN
eaes-1738	185	5	,	,	PUNCT
eaes-1738	185	6	preen	preen	PROPN
eaes-1738	185	7	,	,	PUNCT
eaes-1738	185	8	d.	d.	PROPN
eaes-1738	185	9	b.	b.	PROPN
eaes-1738	185	10	,	,	PUNCT
eaes-1738	185	11	baynham	baynham	PROPN
eaes-1738	185	12	,	,	PUNCT
eaes-1738	185	13	n.	n.	PROPN
eaes-1738	185	14	j.	j.	PROPN
eaes-1738	185	15	,	,	PUNCT
eaes-1738	185	16	finn	finn	PROPN
eaes-1738	185	17	,	,	PUNCT
eaes-1738	185	18	j.	j.	PROPN
eaes-1738	185	19	c.	c.	PROPN
eaes-1738	185	20	,	,	PUNCT
eaes-1738	185	21	&	&	CCONJ
eaes-1738	185	22	semmens	semmen	NOUN
eaes-1738	185	23	,	,	PUNCT
eaes-1738	185	24	j.	j.	PROPN
eaes-1738	185	25	b.	b.	PROPN
eaes-1738	185	26	(	(	PUNCT
eaes-1738	185	27	2005	2005	NUM
eaes-1738	185	28	)	)	PUNCT
eaes-1738	185	29	.	.	PUNCT
eaes-1738	186	1	a	a	DET
eaes-1738	186	2	multipurpose	multipurpose	NOUN
eaes-1738	186	3	comorbidity	comorbidity	NOUN
eaes-1738	186	4	scoring	scoring	NOUN
eaes-1738	186	5	system	system	NOUN
eaes-1738	186	6	performed	perform	VERB
eaes-1738	186	7	better	well	ADV
eaes-1738	186	8	than	than	ADP
eaes-1738	186	9	the	the	DET
eaes-1738	186	10	charlson	charlson	NOUN
eaes-1738	186	11	index	index	PROPN
eaes-1738	186	12	.	.	PUNCT
eaes-1738	187	1	journal	journal	PROPN
eaes-1738	187	2	of	of	ADP
eaes-1738	187	3	clinical	clinical	ADJ
eaes-1738	187	4	epidemiology	epidemiology	NOUN
eaes-1738	187	5	,	,	PUNCT
eaes-1738	187	6	58(10	58(10	NUM
eaes-1738	187	7	)	)	PUNCT
eaes-1738	187	8	,	,	PUNCT
eaes-1738	187	9	1006	1006	NUM
eaes-1738	187	10	-	-	SYM
eaes-1738	187	11	1014	1014	NUM
eaes-1738	187	12	.	.	PUNCT
eaes-1738	188	1	https://doi.org/10.1016/j.jclinepi.2005.01.020	https://doi.org/10.1016/j.jclinepi.2005.01.020	NOUN
eaes-1738	188	2	hscic	hscic	NOUN
eaes-1738	188	3	.	.	PUNCT
eaes-1738	189	1	(	(	PUNCT
eaes-1738	189	2	2014	2014	NUM
eaes-1738	189	3	)	)	PUNCT
eaes-1738	189	4	.	.	PUNCT
eaes-1738	190	1	national	national	ADJ
eaes-1738	190	2	clinical	clinical	ADJ
eaes-1738	190	3	coding	coding	NOUN
eaes-1738	190	4	standards	standard	NOUN
eaes-1738	190	5	opcs-4	opcs-4	PRON
eaes-1738	190	6	—	—	PUNCT
eaes-1738	190	7	accurate	accurate	ADJ
eaes-1738	190	8	data	datum	NOUN
eaes-1738	190	9	for	for	ADP
eaes-1738	190	10	quality	quality	NOUN
eaes-1738	190	11	information	information	NOUN
eaes-1738	190	12	(	(	PUNCT
eaes-1738	190	13	accessed	access	VERB
eaes-1738	190	14	1	1	NUM
eaes-1738	190	15	may	may	NOUN
eaes-1738	190	16	2018	2018	NUM
eaes-1738	190	17	)	)	PUNCT
eaes-1738	190	18	.	.	PUNCT
eaes-1738	191	1	retrieved	retrieve	VERB
eaes-1738	191	2	from	from	ADP
eaes-1738	191	3	http://systems.hscic.gov.uk	http://systems.hscic.gov.uk	DET
eaes-1738	191	4	hscic	hscic	NOUN
eaes-1738	191	5	.	.	PUNCT
eaes-1738	192	1	(	(	PUNCT
eaes-1738	192	2	2014	2014	NUM
eaes-1738	192	3	)	)	PUNCT
eaes-1738	192	4	.	.	PUNCT
eaes-1738	193	1	summary	summary	NOUN
eaes-1738	193	2	hospital	hospital	NOUN
eaes-1738	193	3	-	-	PUNCT
eaes-1738	193	4	level	level	NOUN
eaes-1738	193	5	mortality	mortality	NOUN
eaes-1738	193	6	indicator	indicator	NOUN
eaes-1738	193	7	(	(	PUNCT
eaes-1738	193	8	accessed	access	VERB
eaes-1738	193	9	1	1	NUM
eaes-1738	193	10	may	may	NOUN
eaes-1738	193	11	2018	2018	NUM
eaes-1738	193	12	)	)	PUNCT
eaes-1738	193	13	.	.	PUNCT
eaes-1738	194	1	retrieved	retrieve	VERB
eaes-1738	194	2	from	from	ADP
eaes-1738	194	3	http://www.hscic.gov.uk	http://www.hscic.gov.uk	NUM
eaes-1738	194	4	hscic	hscic	NOUN
eaes-1738	194	5	.	.	PUNCT
eaes-1738	195	1	(	(	PUNCT
eaes-1738	195	2	2015	2015	NUM
eaes-1738	195	3	)	)	PUNCT
eaes-1738	195	4	.	.	PUNCT
eaes-1738	196	1	summary	summary	NOUN
eaes-1738	196	2	hospital	hospital	NOUN
eaes-1738	196	3	-	-	PUNCT
eaes-1738	196	4	level	level	NOUN
eaes-1738	196	5	mortality	mortality	NOUN
eaes-1738	196	6	indicator	indicator	NOUN
eaes-1738	196	7	(	(	PUNCT
eaes-1738	196	8	shmi)—methodology	shmi)—methodology	NOUN
eaes-1738	196	9	development	development	NOUN
eaes-1738	196	10	log	log	NOUN
eaes-1738	196	11	(	(	PUNCT
eaes-1738	196	12	accessed	access	VERB
eaes-1738	196	13	1	1	NUM
eaes-1738	196	14	may	may	NOUN
eaes-1738	196	15	2018	2018	NUM
eaes-1738	196	16	)	)	PUNCT
eaes-1738	196	17	.	.	PUNCT
eaes-1738	197	1	retrieved	retrieve	VERB
eaes-1738	197	2	from	from	ADP
eaes-1738	197	3	http://www.hscic.gov.uk	http://www.hscic.gov.uk	NUM
eaes-1738	197	4	hscic	hscic	NOUN
eaes-1738	197	5	.	.	PUNCT
eaes-1738	198	1	(	(	PUNCT
eaes-1738	198	2	2016	2016	NUM
eaes-1738	198	3	)	)	PUNCT
eaes-1738	198	4	.	.	PUNCT
eaes-1738	199	1	summary	summary	NOUN
eaes-1738	199	2	hospital	hospital	NOUN
eaes-1738	199	3	-	-	PUNCT
eaes-1738	199	4	level	level	NOUN
eaes-1738	199	5	mortality	mortality	NOUN
eaes-1738	199	6	indicator	indicator	NOUN
eaes-1738	199	7	(	(	PUNCT
eaes-1738	199	8	accessed	access	VERB
eaes-1738	199	9	1	1	NUM
eaes-1738	199	10	may	may	NOUN
eaes-1738	199	11	2018	2018	NUM
eaes-1738	199	12	)	)	PUNCT
eaes-1738	199	13	.	.	PUNCT
eaes-1738	200	1	http://www.hscic.gov.uk	http://www.hscic.gov.uk	PROPN
eaes-1738	200	2	januel	januel	PROPN
eaes-1738	200	3	,	,	PUNCT
eaes-1738	200	4	j.-m	j.-m	PROPN
eaes-1738	200	5	.	.	PUNCT
eaes-1738	201	1	,	,	PUNCT
eaes-1738	201	2	luthi	luthi	PROPN
eaes-1738	201	3	,	,	PUNCT
eaes-1738	201	4	j.-c	j.-c	PROPN
eaes-1738	201	5	.	.	PUNCT
eaes-1738	201	6	,	,	PUNCT
eaes-1738	202	1	quan	quan	PROPN
eaes-1738	202	2	,	,	PUNCT
eaes-1738	202	3	h.	h.	PROPN
eaes-1738	202	4	,	,	PUNCT
eaes-1738	202	5	borst	borst	PROPN
eaes-1738	202	6	,	,	PUNCT
eaes-1738	202	7	f.	f.	PROPN
eaes-1738	202	8	,	,	PUNCT
eaes-1738	202	9	taff’e	taff’e	INTJ
eaes-1738	202	10	,	,	PUNCT
eaes-1738	202	11	p.	p.	PROPN
eaes-1738	202	12	,	,	PUNCT
eaes-1738	202	13	ghali	ghali	PROPN
eaes-1738	202	14	,	,	PUNCT
eaes-1738	202	15	w.	w.	PROPN
eaes-1738	202	16	a.	a.	PROPN
eaes-1738	202	17	,	,	PUNCT
eaes-1738	202	18	&	&	CCONJ
eaes-1738	202	19	burnand	burnand	PROPN
eaes-1738	202	20	,	,	PUNCT
eaes-1738	202	21	b.	b.	PROPN
eaes-1738	202	22	(	(	PUNCT
eaes-1738	202	23	2011	2011	NUM
eaes-1738	202	24	)	)	PUNCT
eaes-1738	202	25	.	.	PUNCT
eaes-1738	203	1	improved	improved	ADJ
eaes-1738	203	2	accuracy	accuracy	NOUN
eaes-1738	203	3	of	of	ADP
eaes-1738	203	4	co	co	NOUN
eaes-1738	203	5	-	-	NOUN
eaes-1738	203	6	morbidity	morbidity	NOUN
eaes-1738	203	7	coding	code	VERB
eaes-1738	203	8	over	over	ADP
eaes-1738	203	9	time	time	NOUN
eaes-1738	203	10	after	after	ADP
eaes-1738	203	11	the	the	DET
eaes-1738	203	12	introduction	introduction	NOUN
eaes-1738	203	13	of	of	ADP
eaes-1738	203	14	icd-10	icd-10	DET
eaes-1738	203	15	administrative	administrative	ADJ
eaes-1738	203	16	data	datum	NOUN
eaes-1738	203	17	.	.	PUNCT
eaes-1738	204	1	bmc	bmc	PROPN
eaes-1738	204	2	health	health	PROPN
eaes-1738	204	3	services	service	NOUN
eaes-1738	204	4	research	research	NOUN
eaes-1738	204	5	,	,	PUNCT
eaes-1738	204	6	11(1	11(1	NUM
eaes-1738	204	7	)	)	PUNCT
eaes-1738	204	8	,	,	PUNCT
eaes-1738	204	9	194	194	NUM
eaes-1738	204	10	.	.	PUNCT
eaes-1738	205	1	https://doi.org/10.1186/1472-6963-11-194	https://doi.org/10.1186/1472-6963-11-194	PROPN
eaes-1738	205	2	lecun	lecun	ADV
eaes-1738	205	3	,	,	PUNCT
eaes-1738	205	4	y.	y.	PROPN
eaes-1738	205	5	,	,	PUNCT
eaes-1738	205	6	bengio	bengio	PROPN
eaes-1738	205	7	,	,	PUNCT
eaes-1738	205	8	y.	y.	PROPN
eaes-1738	205	9	,	,	PUNCT
eaes-1738	205	10	&	&	CCONJ
eaes-1738	205	11	hinton	hinton	PROPN
eaes-1738	205	12	,	,	PUNCT
eaes-1738	205	13	g.	g.	PROPN
eaes-1738	205	14	(	(	PUNCT
eaes-1738	205	15	2015	2015	NUM
eaes-1738	205	16	)	)	PUNCT
eaes-1738	205	17	.	.	PUNCT
eaes-1738	206	1	deep	deep	ADJ
eaes-1738	206	2	learning	learning	NOUN
eaes-1738	206	3	.	.	PUNCT
eaes-1738	207	1	nature	nature	NOUN
eaes-1738	207	2	,	,	PUNCT
eaes-1738	207	3	521	521	NUM
eaes-1738	207	4	,	,	PUNCT
eaes-1738	207	5	436	436	NUM
eaes-1738	207	6	-	-	SYM
eaes-1738	207	7	444	444	NUM
eaes-1738	207	8	.	.	PUNCT
eaes-1738	208	1	https://doi.org/10.1038/nature14539	https://doi.org/10.1038/nature14539	PROPN
eaes-1738	208	2	mehta	mehta	PROPN
eaes-1738	208	3	,	,	PUNCT
eaes-1738	208	4	h.	h.	PROPN
eaes-1738	208	5	b.	b.	PROPN
eaes-1738	208	6	,	,	PUNCT
eaes-1738	208	7	dimou	dimou	PROPN
eaes-1738	208	8	,	,	PUNCT
eaes-1738	208	9	f.	f.	PROPN
eaes-1738	208	10	,	,	PUNCT
eaes-1738	208	11	adhikari	adhikari	PROPN
eaes-1738	208	12	,	,	PUNCT
eaes-1738	208	13	d.	d.	PROPN
eaes-1738	208	14	,	,	PUNCT
eaes-1738	208	15	tamirisa	tamirisa	NOUN
eaes-1738	208	16	,	,	PUNCT
eaes-1738	208	17	n.	n.	PROPN
eaes-1738	208	18	p.	p.	PROPN
eaes-1738	208	19	,	,	PUNCT
eaes-1738	208	20	sieloff	sieloff	NOUN
eaes-1738	208	21	,	,	PUNCT
eaes-1738	208	22	e.	e.	PROPN
eaes-1738	208	23	,	,	PUNCT
eaes-1738	208	24	williams	williams	PROPN
eaes-1738	208	25	,	,	PUNCT
eaes-1738	208	26	t.	t.	PROPN
eaes-1738	208	27	p.	p.	PROPN
eaes-1738	208	28	,	,	PUNCT
eaes-1738	208	29	…	…	PUNCT
eaes-1738	208	30	riall	riall	ADJ
eaes-1738	208	31	,	,	PUNCT
eaes-1738	208	32	t.	t.	PROPN
eaes-1738	208	33	s.	s.	PROPN
eaes-1738	208	34	(	(	PUNCT
eaes-1738	208	35	2016	2016	NUM
eaes-1738	208	36	)	)	PUNCT
eaes-1738	208	37	.	.	PUNCT
eaes-1738	209	1	comparison	comparison	NOUN
eaes-1738	209	2	of	of	ADP
eaes-1738	209	3	comorbidity	comorbidity	NOUN
eaes-1738	209	4	scores	score	NOUN
eaes-1738	209	5	in	in	ADP
eaes-1738	209	6	predicting	predict	VERB
eaes-1738	209	7	sur	sur	PROPN
eaes-1738	209	8	gical	gical	ADJ
eaes-1738	209	9	outcomes	outcome	NOUN
eaes-1738	209	10	.	.	PUNCT
eaes-1738	210	1	medical	medical	ADJ
eaes-1738	210	2	care	care	NOUN
eaes-1738	210	3	,	,	PUNCT
eaes-1738	210	4	54(2	54(2	NUM
eaes-1738	210	5	)	)	PUNCT
eaes-1738	210	6	,	,	PUNCT
eaes-1738	210	7	180	180	NUM
eaes-1738	210	8	-	-	SYM
eaes-1738	210	9	187	187	NUM
eaes-1738	210	10	.	.	PUNCT
eaes-1738	211	1	www.scholink.org/ojs/index.php/ees	www.scholink.org/ojs/index.php/ees	PROPN
eaes-1738	211	2	energy	energy	NOUN
eaes-1738	211	3	and	and	CCONJ
eaes-1738	211	4	earth	earth	NOUN
eaes-1738	211	5	science	science	NOUN
eaes-1738	211	6	vol	vol	NOUN
eaes-1738	211	7	.	.	PROPN
eaes-1738	212	1	1	1	NUM
eaes-1738	212	2	,	,	PUNCT
eaes-1738	212	3	no	no	INTJ
eaes-1738	212	4	.	.	NOUN
eaes-1738	212	5	1	1	NUM
eaes-1738	212	6	,	,	PUNCT
eaes-1738	212	7	2018	2018	NUM
eaes-1738	212	8	51	51	NUM
eaes-1738	212	9	published	publish	VERB
eaes-1738	212	10	by	by	ADP
eaes-1738	212	11	scholink	scholink	PROPN
eaes-1738	212	12	inc	inc	PROPN
eaes-1738	212	13	.	.	PROPN
eaes-1738	212	14	https://doi.org/10.1097/mlr.0000000000000465	https://doi.org/10.1097/mlr.0000000000000465	NOUN
eaes-1738	212	15	mesgarpour	mesgarpour	NOUN
eaes-1738	212	16	,	,	PUNCT
eaes-1738	212	17	m.	m.	NOUN
eaes-1738	212	18	,	,	PUNCT
eaes-1738	212	19	chaussalet	chaussalet	NOUN
eaes-1738	212	20	,	,	PUNCT
eaes-1738	212	21	t.	t.	PROPN
eaes-1738	212	22	,	,	PUNCT
eaes-1738	212	23	&	&	CCONJ
eaes-1738	212	24	chahed	chahe	VERB
eaes-1738	212	25	,	,	PUNCT
eaes-1738	212	26	s.	s.	PROPN
eaes-1738	212	27	(	(	PUNCT
eaes-1738	212	28	2016	2016	NUM
eaes-1738	212	29	)	)	PUNCT
eaes-1738	212	30	.	.	PUNCT
eaes-1738	213	1	risk	risk	NOUN
eaes-1738	213	2	modelling	model	VERB
eaes-1738	213	3	framework	framework	NOUN
eaes-1738	213	4	for	for	ADP
eaes-1738	213	5	emer	emer	PROPN
eaes-1738	213	6	gency	gency	PROPN
eaes-1738	213	7	hospital	hospital	NOUN
eaes-1738	213	8	readmission	readmission	NOUN
eaes-1738	213	9	,	,	PUNCT
eaes-1738	213	10	using	use	VERB
eaes-1738	213	11	hospital	hospital	NOUN
eaes-1738	213	12	episode	episode	NOUN
eaes-1738	213	13	statistics	statistics	PROPN
eaes-1738	213	14	inpatient	inpatient	PROPN
eaes-1738	213	15	data	data	PROPN
eaes-1738	213	16	,	,	PUNCT
eaes-1738	213	17	in	in	ADP
eaes-1738	213	18	:	:	PUNCT
eaes-1738	213	19	2016	2016	NUM
eaes-1738	213	20	ieee	ieee	NOUN
eaes-1738	213	21	29th	29th	ADJ
eaes-1738	213	22	international	international	ADJ
eaes-1738	213	23	symposium	symposium	NOUN
eaes-1738	213	24	on	on	ADP
eaes-1738	213	25	computer	computer	NOUN
eaes-1738	213	26	-	-	PUNCT
eaes-1738	213	27	based	base	VERB
eaes-1738	213	28	medical	medical	ADJ
eaes-1738	213	29	systems	system	NOUN
eaes-1738	213	30	(	(	PUNCT
eaes-1738	213	31	cbms	cbms	PROPN
eaes-1738	213	32	)	)	PUNCT
eaes-1738	214	1	(	(	PUNCT
eaes-1738	214	2	pp	pp	X
eaes-1738	214	3	.	.	PUNCT
eaes-1738	215	1	219	219	NUM
eaes-1738	215	2	-	-	SYM
eaes-1738	215	3	224	224	NUM
eaes-1738	215	4	)	)	PUNCT
eaes-1738	215	5	.	.	PUNCT
eaes-1738	216	1	https://doi.org/10.1109/cbms.2016.21	https://doi.org/10.1109/cbms.2016.21	PROPN
eaes-1738	216	2	mesgarpour	mesgarpour	NOUN
eaes-1738	216	3	,	,	PUNCT
eaes-1738	216	4	m.	m.	NOUN
eaes-1738	216	5	,	,	PUNCT
eaes-1738	216	6	chaussalet	chaussalet	NOUN
eaes-1738	216	7	,	,	PUNCT
eaes-1738	216	8	t.	t.	PROPN
eaes-1738	216	9	,	,	PUNCT
eaes-1738	216	10	&	&	CCONJ
eaes-1738	216	11	chahed	chahe	VERB
eaes-1738	216	12	,	,	PUNCT
eaes-1738	216	13	s.	s.	PROPN
eaes-1738	216	14	(	(	PUNCT
eaes-1738	216	15	2017	2017	NUM
eaes-1738	216	16	)	)	PUNCT
eaes-1738	216	17	.	.	PUNCT
eaes-1738	217	1	ensemble	ensemble	ADJ
eaes-1738	217	2	of	of	ADP
eaes-1738	217	3	risk	risk	NOUN
eaes-1738	217	4	models	model	NOUN
eaes-1738	217	5	for	for	ADP
eaes-1738	217	6	emergency	emergency	NOUN
eaes-1738	217	7	readmissions	readmission	NOUN
eaes-1738	217	8	(	(	PUNCT
eaes-1738	217	9	ermer	ermer	NOUN
eaes-1738	217	10	)	)	PUNCT
eaes-1738	217	11	.	.	PUNCT
eaes-1738	218	1	international	international	ADJ
eaes-1738	218	2	journal	journal	PROPN
eaes-1738	218	3	of	of	ADP
eaes-1738	218	4	medical	medical	ADJ
eaes-1738	218	5	informatics	informatic	NOUN
eaes-1738	218	6	,	,	PUNCT
eaes-1738	218	7	103	103	NUM
eaes-1738	218	8	,	,	PUNCT
eaes-1738	218	9	65	65	NUM
eaes-1738	218	10	-	-	SYM
eaes-1738	218	11	77	77	NUM
eaes-1738	218	12	.	.	PUNCT
eaes-1738	219	1	https://doi.org/10.1016/j.ijmedinf.2017.04.010	https://doi.org/10.1016/j.ijmedinf.2017.04.010	PROPN
eaes-1738	219	2	schmidhuber	schmidhuber	PROPN
eaes-1738	219	3	,	,	PUNCT
eaes-1738	219	4	j.	j.	PROPN
eaes-1738	219	5	(	(	PUNCT
eaes-1738	219	6	2015	2015	NUM
eaes-1738	219	7	)	)	PUNCT
eaes-1738	219	8	.	.	PUNCT
eaes-1738	220	1	deep	deep	ADJ
eaes-1738	220	2	learning	learning	NOUN
eaes-1738	220	3	in	in	ADP
eaes-1738	220	4	neural	neural	ADJ
eaes-1738	220	5	networks	network	NOUN
eaes-1738	220	6	:	:	PUNCT
eaes-1738	220	7	an	an	DET
eaes-1738	220	8	overview	overview	NOUN
eaes-1738	220	9	.	.	PUNCT
eaes-1738	221	1	neural	neural	ADJ
eaes-1738	221	2	networks	network	NOUN
eaes-1738	221	3	,	,	PUNCT
eaes-1738	221	4	61	61	NUM
eaes-1738	221	5	,	,	PUNCT
eaes-1738	221	6	85	85	NUM
eaes-1738	221	7	-	-	SYM
eaes-1738	221	8	117	117	NUM
eaes-1738	221	9	.	.	PUNCT
eaes-1738	222	1	https://doi.org/10.1016/j.neunet.2014.09.003	https://doi.org/10.1016/j.neunet.2014.09.003	ADJ
eaes-1738	222	2	scikit	scikit	NOUN
eaes-1738	222	3	learn	learn	VERB
eaes-1738	222	4	.	.	PUNCT
eaes-1738	223	1	(	(	PUNCT
eaes-1738	223	2	2016	2016	NUM
eaes-1738	223	3	)	)	PUNCT
eaes-1738	223	4	.	.	PUNCT
eaes-1738	224	1	scikit	scikit	NOUN
eaes-1738	224	2	-	-	PUNCT
eaes-1738	224	3	learn	learn	VERB
eaes-1738	224	4	—	—	PUNCT
eaes-1738	224	5	machine	machine	NOUN
eaes-1738	224	6	learning	learning	NOUN
eaes-1738	224	7	in	in	ADP
eaes-1738	224	8	python	python	NOUN
eaes-1738	224	9	(	(	PUNCT
eaes-1738	224	10	accessed	access	VERB
eaes-1738	224	11	1	1	NUM
eaes-1738	224	12	may	may	NOUN
eaes-1738	224	13	2018	2018	NUM
eaes-1738	224	14	)	)	PUNCT
eaes-1738	224	15	.	.	PUNCT
eaes-1738	225	1	retrieved	retrieve	VERB
eaes-1738	225	2	from	from	ADP
eaes-1738	225	3	http://scikit-learn.org	http://scikit-learn.org	PROPN
eaes-1738	225	4	sharabiani	sharabiani	PROPN
eaes-1738	225	5	,	,	PUNCT
eaes-1738	225	6	m.	m.	NOUN
eaes-1738	225	7	t.	t.	PROPN
eaes-1738	225	8	,	,	PUNCT
eaes-1738	225	9	aylin	aylin	PROPN
eaes-1738	225	10	,	,	PUNCT
eaes-1738	225	11	p.	p.	PROPN
eaes-1738	225	12	,	,	PUNCT
eaes-1738	225	13	&	&	CCONJ
eaes-1738	225	14	bottle	bottle	NOUN
eaes-1738	225	15	,	,	PUNCT
eaes-1738	225	16	p.	p.	NOUN
eaes-1738	225	17	(	(	PUNCT
eaes-1738	225	18	2012	2012	NUM
eaes-1738	225	19	)	)	PUNCT
eaes-1738	225	20	.	.	PUNCT
eaes-1738	226	1	systematic	systematic	ADJ
eaes-1738	226	2	review	review	NOUN
eaes-1738	226	3	of	of	ADP
eaes-1738	226	4	comorbidity	comorbidity	NOUN
eaes-1738	226	5	indices	index	NOUN
eaes-1738	226	6	for	for	ADP
eaes-1738	226	7	administrative	administrative	ADJ
eaes-1738	226	8	data	datum	NOUN
eaes-1738	226	9	.	.	PUNCT
eaes-1738	227	1	medical	medical	ADJ
eaes-1738	227	2	care	care	NOUN
eaes-1738	227	3	,	,	PUNCT
eaes-1738	227	4	50(12	50(12	NUM
eaes-1738	227	5	)	)	PUNCT
eaes-1738	227	6	,	,	PUNCT
eaes-1738	227	7	1109	1109	NUM
eaes-1738	227	8	-	-	SYM
eaes-1738	227	9	1118	1118	NUM
eaes-1738	227	10	.	.	PUNCT
eaes-1738	228	1	https://doi.org/10.1097/mlr.0b013e31825f64d0	https://doi.org/10.1097/mlr.0b013e31825f64d0	PROPN
eaes-1738	228	2	singer	singer	NOUN
eaes-1738	228	3	,	,	PUNCT
eaes-1738	228	4	j.	j.	PROPN
eaes-1738	228	5	d.	d.	PROPN
eaes-1738	228	6	,	,	PUNCT
eaes-1738	228	7	&	&	CCONJ
eaes-1738	228	8	willett	willett	PROPN
eaes-1738	228	9	,	,	PUNCT
eaes-1738	228	10	j.	j.	PROPN
eaes-1738	228	11	b.	b.	PROPN
eaes-1738	228	12	(	(	PUNCT
eaes-1738	228	13	2003	2003	NUM
eaes-1738	228	14	)	)	PUNCT
eaes-1738	228	15	.	.	PUNCT
eaes-1738	229	1	applied	apply	VERB
eaes-1738	229	2	longitudinal	longitudinal	ADJ
eaes-1738	229	3	data	datum	NOUN
eaes-1738	229	4	analysis	analysis	NOUN
eaes-1738	229	5	:	:	PUNCT
eaes-1738	229	6	modeling	model	VERB
eaes-1738	229	7	change	change	NOUN
eaes-1738	229	8	and	and	CCONJ
eaes-1738	229	9	event	event	NOUN
eaes-1738	229	10	occurrence	occurrence	NOUN
eaes-1738	229	11	.	.	PUNCT
eaes-1738	230	1	strobl	strobl	NOUN
eaes-1738	230	2	,	,	PUNCT
eaes-1738	230	3	c.	c.	PROPN
eaes-1738	230	4	,	,	PUNCT
eaes-1738	230	5	boulesteix	boulesteix	NOUN
eaes-1738	230	6	,	,	PUNCT
eaes-1738	230	7	a.-l	a.-l	PROPN
eaes-1738	230	8	.	.	PUNCT
eaes-1738	230	9	,	,	PUNCT
eaes-1738	230	10	zeileis	zeileis	PROPN
eaes-1738	230	11	,	,	PUNCT
eaes-1738	230	12	a.	a.	PROPN
eaes-1738	230	13	,	,	PUNCT
eaes-1738	230	14	&	&	CCONJ
eaes-1738	230	15	hothorn	hothorn	NOUN
eaes-1738	230	16	,	,	PUNCT
eaes-1738	230	17	t.	t.	PROPN
eaes-1738	230	18	(	(	PUNCT
eaes-1738	230	19	2007	2007	NUM
eaes-1738	230	20	)	)	PUNCT
eaes-1738	230	21	.	.	PUNCT
eaes-1738	231	1	bias	bias	NOUN
eaes-1738	231	2	in	in	ADP
eaes-1738	231	3	random	random	ADJ
eaes-1738	231	4	forest	forest	NOUN
eaes-1738	231	5	variable	variable	ADJ
eaes-1738	231	6	importance	importance	NOUN
eaes-1738	231	7	measures	measure	NOUN
eaes-1738	231	8	:	:	PUNCT
eaes-1738	231	9	illustrations	illustration	NOUN
eaes-1738	231	10	,	,	PUNCT
eaes-1738	231	11	sources	source	NOUN
eaes-1738	231	12	and	and	CCONJ
eaes-1738	231	13	a	a	DET
eaes-1738	231	14	solution	solution	NOUN
eaes-1738	231	15	.	.	PUNCT
eaes-1738	232	1	bmc	bmc	ADJ
eaes-1738	232	2	bioinformatics	bioinformatics	PROPN
eaes-1738	232	3	,	,	PUNCT
eaes-1738	232	4	8(1	8(1	NOUN
eaes-1738	232	5	)	)	PUNCT
eaes-1738	232	6	,	,	PUNCT
eaes-1738	232	7	25	25	NUM
eaes-1738	232	8	.	.	PUNCT
eaes-1738	233	1	https://doi.org/10.1186/1471-2105-8-25	https://doi.org/10.1186/1471-2105-8-25	PROPN
eaes-1738	233	2	tolo¸si	tolo¸si	PROPN
eaes-1738	233	3	,	,	PUNCT
eaes-1738	233	4	l.	l.	PROPN
eaes-1738	233	5	,	,	PUNCT
eaes-1738	233	6	&	&	CCONJ
eaes-1738	233	7	lengauer	lengauer	PROPN
eaes-1738	233	8	,	,	PUNCT
eaes-1738	233	9	t.	t.	PROPN
eaes-1738	233	10	(	(	PUNCT
eaes-1738	233	11	2011	2011	NUM
eaes-1738	233	12	)	)	PUNCT
eaes-1738	233	13	.	.	PUNCT
eaes-1738	234	1	classification	classification	NOUN
eaes-1738	234	2	with	with	ADP
eaes-1738	234	3	correlated	correlate	VERB
eaes-1738	234	4	features	feature	NOUN
eaes-1738	234	5	:	:	PUNCT
eaes-1738	234	6	unreliability	unreliability	NOUN
eaes-1738	234	7	of	of	ADP
eaes-1738	234	8	feature	feature	NOUN
eaes-1738	234	9	ranking	ranking	NOUN
eaes-1738	234	10	and	and	CCONJ
eaes-1738	234	11	solutions	solution	NOUN
eaes-1738	234	12	.	.	PUNCT
eaes-1738	235	1	bioinformatics	bioinformatic	NOUN
eaes-1738	235	2	,	,	PUNCT
eaes-1738	235	3	27(14	27(14	NOUN
eaes-1738	235	4	)	)	PUNCT
eaes-1738	235	5	,	,	PUNCT
eaes-1738	235	6	1986	1986	NUM
eaes-1738	235	7	-	-	SYM
eaes-1738	235	8	1994	1994	NUM
eaes-1738	235	9	.	.	PUNCT
eaes-1738	236	1	https://doi.org/10.1093/bioinformatics/btr300	https://doi.org/10.1093/bioinformatics/btr300	DET
eaes-1738	236	2	weiner	weiner	NOUN
eaes-1738	236	3	,	,	PUNCT
eaes-1738	236	4	j.	j.	PROPN
eaes-1738	236	5	,	,	PUNCT
eaes-1738	236	6	&	&	CCONJ
eaes-1738	236	7	abrams	abrams	PROPN
eaes-1738	236	8	,	,	PUNCT
eaes-1738	236	9	c.	c.	PROPN
eaes-1738	236	10	(	(	PUNCT
eaes-1738	236	11	2011	2011	NUM
eaes-1738	236	12	)	)	PUNCT
eaes-1738	236	13	.	.	PUNCT
eaes-1738	237	1	the	the	DET
eaes-1738	237	2	johns	johns	PROPN
eaes-1738	237	3	hopkins	hopkins	PROPN
eaes-1738	237	4	acg	acg	PROPN
eaes-1738	237	5	system	system	NOUN
eaes-1738	237	6	—	—	PUNCT
eaes-1738	237	7	technical	technical	ADJ
eaes-1738	237	8	reference	reference	NOUN
eaes-1738	237	9	guide	guide	NOUN
eaes-1738	237	10	—	—	PUNCT
eaes-1738	237	11	version	version	NOUN
eaes-1738	237	12	10	10	NUM
eaes-1738	237	13	(	(	PUNCT
eaes-1738	237	14	accessed	access	VERB
eaes-1738	237	15	1	1	NUM
eaes-1738	237	16	may	may	NOUN
eaes-1738	237	17	2018	2018	NUM
eaes-1738	237	18	)	)	PUNCT
eaes-1738	237	19	.	.	PUNCT
eaes-1738	238	1	retrieved	retrieve	VERB
eaes-1738	238	2	from	from	ADP
eaes-1738	238	3	http://acg.jhsph.org	http://acg.jhsph.org	PROPN
eaes-1738	238	4	y.	y.	PROPN
eaes-1738	238	5	bengio	bengio	PROPN
eaes-1738	238	6	et	et	PROPN
eaes-1738	238	7	al	al	PROPN
eaes-1738	238	8	.	.	PROPN
eaes-1738	238	9	(	(	PUNCT
eaes-1738	238	10	2009	2009	NUM
eaes-1738	238	11	)	)	PUNCT
eaes-1738	238	12	.	.	PUNCT
eaes-1738	239	1	learning	learn	VERB
eaes-1738	239	2	deep	deep	ADJ
eaes-1738	239	3	architectures	architecture	NOUN
eaes-1738	239	4	for	for	ADP
eaes-1738	239	5	ai	ai	NOUN
eaes-1738	239	6	.	.	PUNCT
eaes-1738	240	1	foundations	foundation	NOUN
eaes-1738	240	2	and	and	CCONJ
eaes-1738	240	3	trends	trend	NOUN
eaes-1738	240	4	r	r	NOUN
eaes-1738	240	5	in	in	ADP
eaes-1738	240	6	machine	machine	NOUN
eaes-1738	240	7	learning	learning	NOUN
eaes-1738	240	8	,	,	PUNCT
eaes-1738	240	9	2(1	2(1	NUM
eaes-1738	240	10	)	)	PUNCT
eaes-1738	240	11	,	,	PUNCT
eaes-1738	240	12	1	1	NUM
eaes-1738	240	13	-	-	SYM
eaes-1738	240	14	127	127	NUM
eaes-1738	240	15	.	.	PUNCT
eaes-1738	241	1	yeo	yeo	PROPN
eaes-1738	241	2	,	,	PUNCT
eaes-1738	241	3	i.-k	i.-k	PROPN
eaes-1738	241	4	.	.	PUNCT
eaes-1738	241	5	,	,	PUNCT
eaes-1738	241	6	&	&	CCONJ
eaes-1738	241	7	johnson	johnson	PROPN
eaes-1738	241	8	,	,	PUNCT
eaes-1738	241	9	r.	r.	PROPN
eaes-1738	241	10	a.	a.	PROPN
eaes-1738	241	11	(	(	PUNCT
eaes-1738	241	12	2000	2000	NUM
eaes-1738	241	13	)	)	PUNCT
eaes-1738	241	14	.	.	PUNCT
eaes-1738	242	1	a	a	DET
eaes-1738	242	2	new	new	ADJ
eaes-1738	242	3	family	family	NOUN
eaes-1738	242	4	of	of	ADP
eaes-1738	242	5	power	power	NOUN
eaes-1738	242	6	transformations	transformation	NOUN
eaes-1738	242	7	to	to	PART
eaes-1738	242	8	improve	improve	VERB
eaes-1738	242	9	normality	normality	NOUN
eaes-1738	242	10	or	or	CCONJ
eaes-1738	242	11	symmetry	symmetry	NOUN
eaes-1738	242	12	.	.	PUNCT
eaes-1738	243	1	biometrika	biometrika	NOUN
eaes-1738	243	2	,	,	PUNCT
eaes-1738	243	3	954	954	NUM
eaes-1738	243	4	-	-	SYM
eaes-1738	243	5	959	959	NUM
eaes-1738	243	6	.	.	PUNCT
eaes-1738	244	1	https://doi.org/10.1093/biomet/87.4.954	https://doi.org/10.1093/biomet/87.4.954	PUNCT