id	sid	tid	token	lemma	pos
sc-589	1	1	predicting	predict	VERB
sc-589	1	2	diabetes	diabetes	NOUN
sc-589	1	3	disease	disease	NOUN
sc-589	1	4	for	for	ADP
sc-589	1	5	healthy	healthy	ADJ
sc-589	1	6	smart	smart	ADJ
sc-589	1	7	cities	city	NOUN
sc-589	1	8	predicting	predict	VERB
sc-589	1	9	diabetes	diabetes	NOUN
sc-589	1	10	disease	disease	NOUN
sc-589	1	11	for	for	ADP
sc-589	1	12	healthy	healthy	ADJ
sc-589	1	13	smart	smart	ADJ
sc-589	1	14	cities	city	NOUN
sc-589	1	15	hugo	hugo	PROPN
sc-589	1	16	peixoto∗	peixoto∗	PROPN
sc-589	1	17	,	,	PUNCT
sc-589	1	18	vasco	vasco	PROPN
sc-589	1	19	ramos	ramos	PROPN
sc-589	1	20	,	,	PUNCT
sc-589	1	21	carolina	carolina	PROPN
sc-589	1	22	marques	marques	PROPN
sc-589	1	23	and	and	CCONJ
sc-589	1	24	josé	josé	PROPN
sc-589	1	25	machado	machado	PROPN
sc-589	1	26	algoritmi	algoritmi	PROPN
sc-589	1	27	center	center	PROPN
sc-589	1	28	,	,	PUNCT
sc-589	1	29	university	university	NOUN
sc-589	1	30	of	of	ADP
sc-589	1	31	minho	minho	PROPN
sc-589	1	32	,	,	PUNCT
sc-589	1	33	campus	campus	NOUN
sc-589	1	34	gualtar	gualtar	NOUN
sc-589	1	35	,	,	PUNCT
sc-589	1	36	braga	braga	NOUN
sc-589	1	37	4710	4710	NUM
sc-589	1	38	,	,	PUNCT
sc-589	1	39	portugal	portugal	PROPN
sc-589	1	40	abstract	abstract	ADJ
sc-589	1	41	introduction	introduction	NOUN
sc-589	1	42	:	:	PUNCT
sc-589	1	43	diabetes	diabetes	NOUN
sc-589	1	44	is	be	AUX
sc-589	1	45	a	a	DET
sc-589	1	46	chronic	chronic	ADJ
sc-589	1	47	condition	condition	NOUN
sc-589	1	48	that	that	PRON
sc-589	1	49	affects	affect	VERB
sc-589	1	50	a	a	DET
sc-589	1	51	large	large	ADJ
sc-589	1	52	portion	portion	NOUN
sc-589	1	53	of	of	ADP
sc-589	1	54	the	the	DET
sc-589	1	55	population	population	NOUN
sc-589	1	56	and	and	CCONJ
sc-589	1	57	is	be	AUX
sc-589	1	58	the	the	DET
sc-589	1	59	leading	lead	VERB
sc-589	1	60	cause	cause	NOUN
sc-589	1	61	of	of	ADP
sc-589	1	62	numerous	numerous	ADJ
sc-589	1	63	health	health	NOUN
sc-589	1	64	problems	problem	NOUN
sc-589	1	65	.	.	PUNCT
sc-589	2	1	its	its	PRON
sc-589	2	2	automatic	automatic	ADJ
sc-589	2	3	detection	detection	NOUN
sc-589	2	4	could	could	AUX
sc-589	2	5	improve	improve	VERB
sc-589	2	6	the	the	DET
sc-589	2	7	communities	community	NOUN
sc-589	2	8	’	'	PUNCT
sc-589	2	9	overall	overall	ADJ
sc-589	2	10	well	well	ADV
sc-589	2	11	-	-	PUNCT
sc-589	2	12	being	being	NOUN
sc-589	2	13	.	.	PUNCT
sc-589	3	1	objectives	objective	NOUN
sc-589	3	2	:	:	PUNCT
sc-589	3	3	the	the	DET
sc-589	3	4	primary	primary	ADJ
sc-589	3	5	goal	goal	NOUN
sc-589	3	6	was	be	AUX
sc-589	3	7	to	to	PART
sc-589	3	8	introduce	introduce	VERB
sc-589	3	9	advancements	advancement	NOUN
sc-589	3	10	to	to	ADP
sc-589	3	11	the	the	DET
sc-589	3	12	subject	subject	NOUN
sc-589	3	13	of	of	ADP
sc-589	3	14	healthy	healthy	ADJ
sc-589	3	15	smart	smart	ADJ
sc-589	3	16	cities	city	NOUN
sc-589	3	17	by	by	ADP
sc-589	3	18	studying	study	VERB
sc-589	3	19	an	an	DET
sc-589	3	20	approach	approach	NOUN
sc-589	3	21	for	for	ADP
sc-589	3	22	predicting	predict	VERB
sc-589	3	23	the	the	DET
sc-589	3	24	occurrence	occurrence	NOUN
sc-589	3	25	of	of	ADP
sc-589	3	26	diabetes	diabetes	NOUN
sc-589	3	27	in	in	ADP
sc-589	3	28	the	the	DET
sc-589	3	29	pima	pima	PROPN
sc-589	3	30	female	female	ADJ
sc-589	3	31	adult	adult	NOUN
sc-589	3	32	population	population	NOUN
sc-589	3	33	using	use	VERB
sc-589	3	34	data	datum	NOUN
sc-589	3	35	mining	mining	NOUN
sc-589	3	36	.	.	PUNCT
sc-589	4	1	methods	method	NOUN
sc-589	4	2	:	:	PUNCT
sc-589	4	3	this	this	DET
sc-589	4	4	study	study	NOUN
sc-589	4	5	uses	use	VERB
sc-589	4	6	crisp	crisp	ADJ
sc-589	4	7	-	-	PUNCT
sc-589	4	8	dm	dm	NOUN
sc-589	4	9	to	to	PART
sc-589	4	10	analyze	analyze	VERB
sc-589	4	11	the	the	DET
sc-589	4	12	results	result	NOUN
sc-589	4	13	of	of	ADP
sc-589	4	14	six	six	NUM
sc-589	4	15	different	different	ADJ
sc-589	4	16	models	model	NOUN
sc-589	4	17	acquired	acquire	VERB
sc-589	4	18	from	from	ADP
sc-589	4	19	three	three	NUM
sc-589	4	20	different	different	ADJ
sc-589	4	21	iterations	iteration	NOUN
sc-589	4	22	of	of	ADP
sc-589	4	23	the	the	DET
sc-589	4	24	same	same	ADJ
sc-589	4	25	dataset	dataset	NOUN
sc-589	4	26	.	.	PUNCT
sc-589	5	1	discussion	discussion	NOUN
sc-589	5	2	:	:	PUNCT
sc-589	5	3	this	this	DET
sc-589	5	4	study	study	NOUN
sc-589	5	5	found	find	VERB
sc-589	5	6	that	that	SCONJ
sc-589	5	7	the	the	DET
sc-589	5	8	most	most	ADV
sc-589	5	9	promising	promising	ADJ
sc-589	5	10	model	model	NOUN
sc-589	5	11	is	be	AUX
sc-589	5	12	k	k	PROPN
sc-589	5	13	-	-	PUNCT
sc-589	5	14	nn	nn	NOUN
sc-589	5	15	,	,	PUNCT
sc-589	5	16	which	which	PRON
sc-589	5	17	obtained	obtain	VERB
sc-589	5	18	results	result	NOUN
sc-589	5	19	of	of	ADP
sc-589	5	20	almost	almost	ADV
sc-589	5	21	92	92	NUM
sc-589	5	22	%	%	NOUN
sc-589	5	23	of	of	ADP
sc-589	5	24	f1	f1	ADJ
sc-589	5	25	score	score	NOUN
sc-589	5	26	with	with	ADP
sc-589	5	27	the	the	DET
sc-589	5	28	third	third	ADJ
sc-589	5	29	data	data	NOUN
sc-589	5	30	preparation	preparation	NOUN
sc-589	5	31	strategy	strategy	NOUN
sc-589	5	32	.	.	PUNCT
sc-589	6	1	conclusion	conclusion	NOUN
sc-589	6	2	:	:	PUNCT
sc-589	6	3	acceptable	acceptable	ADJ
sc-589	6	4	results	result	NOUN
sc-589	6	5	were	be	AUX
sc-589	6	6	achieved	achieve	VERB
sc-589	6	7	with	with	ADP
sc-589	6	8	the	the	DET
sc-589	6	9	k	k	PROPN
sc-589	6	10	-	-	PUNCT
sc-589	6	11	nn	nn	ADJ
sc-589	6	12	model	model	NOUN
sc-589	6	13	and	and	CCONJ
sc-589	6	14	the	the	DET
sc-589	6	15	third	third	ADJ
sc-589	6	16	data	data	NOUN
sc-589	6	17	preparation	preparation	NOUN
sc-589	6	18	strategy	strategy	NOUN
sc-589	6	19	,	,	PUNCT
sc-589	6	20	but	but	CCONJ
sc-589	6	21	more	more	ADJ
sc-589	6	22	research	research	NOUN
sc-589	6	23	into	into	ADP
sc-589	6	24	improving	improve	VERB
sc-589	6	25	the	the	DET
sc-589	6	26	data	datum	NOUN
sc-589	6	27	preparation	preparation	NOUN
sc-589	6	28	processes	process	NOUN
sc-589	6	29	and	and	CCONJ
sc-589	6	30	their	their	PRON
sc-589	6	31	influence	influence	NOUN
sc-589	6	32	on	on	ADP
sc-589	6	33	the	the	DET
sc-589	6	34	outputs	output	NOUN
sc-589	6	35	of	of	ADP
sc-589	6	36	each	each	DET
sc-589	6	37	model	model	NOUN
sc-589	6	38	is	be	AUX
sc-589	6	39	needed	need	VERB
sc-589	6	40	.	.	PUNCT
sc-589	7	1	received	receive	VERB
sc-589	7	2	on	on	ADP
sc-589	7	3	15	15	NUM
sc-589	7	4	march	march	NOUN
sc-589	7	5	2022	2022	NUM
sc-589	7	6	;	;	PUNCT
sc-589	7	7	accepted	accept	VERB
sc-589	7	8	on	on	ADP
sc-589	7	9	21	21	NUM
sc-589	7	10	april	april	PROPN
sc-589	7	11	2022	2022	NUM
sc-589	7	12	;	;	PUNCT
sc-589	7	13	published	publish	VERB
sc-589	7	14	on	on	ADP
sc-589	7	15	22	22	NUM
sc-589	7	16	april	april	PROPN
sc-589	7	17	2022	2022	NUM
sc-589	7	18	keywords	keyword	NOUN
sc-589	7	19	:	:	PUNCT
sc-589	7	20	data	datum	NOUN
sc-589	7	21	mining	mining	NOUN
sc-589	7	22	,	,	PUNCT
sc-589	7	23	diabetes	diabetes	NOUN
sc-589	7	24	,	,	PUNCT
sc-589	7	25	crisp	crisp	ADJ
sc-589	7	26	-	-	PUNCT
sc-589	7	27	dm	dm	NOUN
sc-589	7	28	,	,	PUNCT
sc-589	7	29	classification	classification	NOUN
sc-589	7	30	,	,	PUNCT
sc-589	7	31	ml	ml	NOUN
sc-589	7	32	models	model	NOUN
sc-589	7	33	,	,	PUNCT
sc-589	7	34	smart	smart	ADJ
sc-589	7	35	cities	city	NOUN
sc-589	7	36	,	,	PUNCT
sc-589	7	37	smart	smart	ADJ
sc-589	7	38	health	health	NOUN
sc-589	7	39	copyright	copyright	NOUN
sc-589	7	40	©	©	PROPN
sc-589	7	41	2022	2022	NUM
sc-589	7	42	hugo	hugo	PROPN
sc-589	7	43	peixoto	peixoto	PROPN
sc-589	7	44	et	et	PROPN
sc-589	7	45	al	al	PROPN
sc-589	7	46	.	.	PROPN
sc-589	7	47	,	,	PUNCT
sc-589	7	48	licensed	license	VERB
sc-589	7	49	to	to	ADP
sc-589	7	50	eai	eai	PROPN
sc-589	7	51	.	.	PUNCT
sc-589	8	1	this	this	PRON
sc-589	8	2	is	be	AUX
sc-589	8	3	an	an	DET
sc-589	8	4	open	open	ADJ
sc-589	8	5	access	access	NOUN
sc-589	8	6	article	article	NOUN
sc-589	8	7	distributed	distribute	VERB
sc-589	8	8	under	under	ADP
sc-589	8	9	the	the	DET
sc-589	8	10	terms	term	NOUN
sc-589	8	11	of	of	ADP
sc-589	8	12	the	the	DET
sc-589	8	13	creative	creative	ADJ
sc-589	8	14	commons	common	NOUN
sc-589	8	15	attribution	attribution	NOUN
sc-589	8	16	license	license	NOUN
sc-589	8	17	,	,	PUNCT
sc-589	8	18	which	which	PRON
sc-589	8	19	permits	permit	VERB
sc-589	8	20	unlimited	unlimited	ADJ
sc-589	8	21	use	use	NOUN
sc-589	8	22	,	,	PUNCT
sc-589	8	23	distribution	distribution	NOUN
sc-589	8	24	and	and	CCONJ
sc-589	8	25	reproduction	reproduction	NOUN
sc-589	8	26	in	in	ADP
sc-589	8	27	any	any	DET
sc-589	8	28	medium	medium	NOUN
sc-589	8	29	so	so	ADV
sc-589	8	30	long	long	ADV
sc-589	8	31	as	as	SCONJ
sc-589	8	32	the	the	DET
sc-589	8	33	original	original	ADJ
sc-589	8	34	work	work	NOUN
sc-589	8	35	is	be	AUX
sc-589	8	36	properly	properly	ADV
sc-589	8	37	cited	cite	VERB
sc-589	8	38	.	.	PUNCT
sc-589	9	1	doi:10.4108	doi:10.4108	PROPN
sc-589	9	2	/	/	SYM
sc-589	9	3	eetsc.v6i18.589	eetsc.v6i18.589	NOUN
sc-589	9	4	1	1	X
sc-589	9	5	.	.	X
sc-589	9	6	introduction	introduction	NOUN
sc-589	9	7	smart	smart	ADJ
sc-589	9	8	cities	city	NOUN
sc-589	9	9	are	be	AUX
sc-589	9	10	designed	design	VERB
sc-589	9	11	with	with	ADP
sc-589	9	12	the	the	DET
sc-589	9	13	goal	goal	NOUN
sc-589	9	14	of	of	ADP
sc-589	9	15	enhancing	enhance	VERB
sc-589	9	16	and	and	CCONJ
sc-589	9	17	providing	provide	VERB
sc-589	9	18	a	a	DET
sc-589	9	19	good	good	ADJ
sc-589	9	20	quality	quality	NOUN
sc-589	9	21	of	of	ADP
sc-589	9	22	life	life	NOUN
sc-589	9	23	for	for	ADP
sc-589	9	24	its	its	PRON
sc-589	9	25	residents	resident	NOUN
sc-589	9	26	by	by	ADP
sc-589	9	27	expanding	expand	VERB
sc-589	9	28	urban	urban	ADJ
sc-589	9	29	infrastructure	infrastructure	NOUN
sc-589	9	30	,	,	PUNCT
sc-589	9	31	encouraging	encourage	VERB
sc-589	9	32	innovation	innovation	NOUN
sc-589	9	33	,	,	PUNCT
sc-589	9	34	and	and	CCONJ
sc-589	9	35	improving	improve	VERB
sc-589	9	36	the	the	DET
sc-589	9	37	healthcare	healthcare	NOUN
sc-589	9	38	system	system	NOUN
sc-589	9	39	available	available	ADJ
sc-589	9	40	to	to	ADP
sc-589	9	41	them	they	PRON
sc-589	9	42	,	,	PUNCT
sc-589	9	43	all	all	PRON
sc-589	9	44	while	while	SCONJ
sc-589	9	45	adhering	adhere	VERB
sc-589	9	46	to	to	ADP
sc-589	9	47	the	the	DET
sc-589	9	48	values	value	NOUN
sc-589	9	49	of	of	ADP
sc-589	9	50	equality	equality	NOUN
sc-589	9	51	,	,	PUNCT
sc-589	9	52	efficiency	efficiency	NOUN
sc-589	9	53	,	,	PUNCT
sc-589	9	54	and	and	CCONJ
sc-589	9	55	foresight	foresight	VERB
sc-589	9	56	[	[	X
sc-589	9	57	1	1	NUM
sc-589	9	58	,	,	PUNCT
sc-589	9	59	2	2	NUM
sc-589	9	60	]	]	PUNCT
sc-589	9	61	.	.	PUNCT
sc-589	10	1	smart	smart	ADJ
sc-589	10	2	health	health	NOUN
sc-589	10	3	is	be	AUX
sc-589	10	4	a	a	DET
sc-589	10	5	prominent	prominent	ADJ
sc-589	10	6	area	area	NOUN
sc-589	10	7	of	of	ADP
sc-589	10	8	the	the	DET
sc-589	10	9	smart	smart	ADJ
sc-589	10	10	city	city	NOUN
sc-589	10	11	concept	concept	NOUN
sc-589	10	12	.	.	PUNCT
sc-589	11	1	with	with	ADP
sc-589	11	2	the	the	DET
sc-589	11	3	covid-19	covid-19	PROPN
sc-589	11	4	pandemics	pandemic	NOUN
sc-589	11	5	,	,	PUNCT
sc-589	11	6	the	the	DET
sc-589	11	7	research	research	NOUN
sc-589	11	8	and	and	CCONJ
sc-589	11	9	application	application	NOUN
sc-589	11	10	of	of	ADP
sc-589	11	11	ehealth	ehealth	NOUN
sc-589	11	12	related	relate	VERB
sc-589	11	13	topics	topic	NOUN
sc-589	11	14	have	have	AUX
sc-589	11	15	only	only	ADV
sc-589	11	16	increased	increase	VERB
sc-589	11	17	in	in	ADP
sc-589	11	18	our	our	PRON
sc-589	11	19	society	society	NOUN
sc-589	11	20	.	.	PUNCT
sc-589	12	1	a	a	DET
sc-589	12	2	recent	recent	ADJ
sc-589	12	3	indepth	indepth	ADJ
sc-589	12	4	report	report	NOUN
sc-589	12	5	on	on	ADP
sc-589	12	6	smart	smart	ADJ
sc-589	12	7	cities	city	NOUN
sc-589	12	8	published	publish	VERB
sc-589	12	9	by	by	ADP
sc-589	12	10	deloitte	deloitte	PROPN
sc-589	12	11	[	[	X
sc-589	12	12	3	3	NUM
sc-589	12	13	]	]	PUNCT
sc-589	12	14	,	,	PUNCT
sc-589	12	15	unveiled	unveil	VERB
sc-589	12	16	that	that	SCONJ
sc-589	12	17	key	key	ADJ
sc-589	12	18	applications	application	NOUN
sc-589	12	19	of	of	ADP
sc-589	12	20	smart	smart	ADJ
sc-589	12	21	health	health	NOUN
sc-589	12	22	in	in	ADP
sc-589	12	23	smart	smart	ADJ
sc-589	12	24	cities	city	NOUN
sc-589	12	25	vary	vary	VERB
sc-589	12	26	from	from	ADP
sc-589	12	27	simplified	simplified	ADJ
sc-589	12	28	processes	process	NOUN
sc-589	12	29	for	for	ADP
sc-589	12	30	diagnosing	diagnose	VERB
sc-589	12	31	diseases	disease	NOUN
sc-589	12	32	to	to	ADP
sc-589	12	33	streamlining	streamline	VERB
sc-589	12	34	their	their	PRON
sc-589	12	35	treatment	treatment	NOUN
sc-589	12	36	,	,	PUNCT
sc-589	12	37	not	not	PART
sc-589	12	38	to	to	PART
sc-589	12	39	mention	mention	VERB
sc-589	12	40	supporting	support	VERB
sc-589	12	41	well	well	ADV
sc-589	12	42	-	-	PUNCT
sc-589	12	43	being	being	NOUN
sc-589	12	44	through	through	ADP
sc-589	12	45	early	early	ADJ
sc-589	12	46	intervention	intervention	NOUN
sc-589	12	47	and	and	CCONJ
sc-589	12	48	prevention	prevention	NOUN
sc-589	12	49	using	use	VERB
sc-589	12	50	digital	digital	ADJ
sc-589	12	51	technologies	technology	NOUN
sc-589	12	52	.	.	PUNCT
sc-589	13	1	one	one	NUM
sc-589	13	2	of	of	ADP
sc-589	13	3	the	the	DET
sc-589	13	4	key	key	ADJ
sc-589	13	5	examples	example	NOUN
sc-589	13	6	of	of	ADP
sc-589	13	7	this	this	DET
sc-589	13	8	argument	argument	NOUN
sc-589	13	9	is	be	AUX
sc-589	13	10	a	a	DET
sc-589	13	11	diabetes	diabetes	NOUN
sc-589	13	12	prevention	prevention	NOUN
sc-589	13	13	program	program	NOUN
sc-589	13	14	developed	develop	VERB
sc-589	13	15	by	by	ADP
sc-589	13	16	the	the	DET
sc-589	13	17	new	new	PROPN
sc-589	13	18	york	york	PROPN
sc-589	13	19	state	state	PROPN
sc-589	13	20	department	department	PROPN
sc-589	13	21	∗corresponding	∗corresponde	VERB
sc-589	13	22	author	author	NOUN
sc-589	13	23	.	.	PUNCT
sc-589	14	1	tel	tel	ADP
sc-589	14	2	:	:	PUNCT
sc-589	14	3	+351	+351	NUM
sc-589	14	4	253	253	NUM
sc-589	14	5	604	604	NUM
sc-589	14	6	430	430	NUM
sc-589	14	7	;	;	PUNCT
sc-589	14	8	fax	fax	NOUN
sc-589	14	9	:	:	PUNCT
sc-589	14	10	+351	+351	NUM
sc-589	14	11	253	253	NUM
sc-589	14	12	604	604	NUM
sc-589	14	13	471	471	NUM
sc-589	14	14	;	;	PUNCT
sc-589	14	15	email	email	NOUN
sc-589	14	16	:	:	PUNCT
sc-589	14	17	hpeixoto@di.uminho.pt	hpeixoto@di.uminho.pt	PROPN
sc-589	14	18	of	of	ADP
sc-589	14	19	health1	health1	NOUN
sc-589	14	20	,	,	PUNCT
sc-589	14	21	which	which	PRON
sc-589	14	22	allows	allow	VERB
sc-589	14	23	participants	participant	NOUN
sc-589	14	24	to	to	PART
sc-589	14	25	use	use	VERB
sc-589	14	26	virtual	virtual	ADJ
sc-589	14	27	monitoring	monitoring	NOUN
sc-589	14	28	and	and	CCONJ
sc-589	14	29	interact	interact	VERB
sc-589	14	30	with	with	ADP
sc-589	14	31	life	life	NOUN
sc-589	14	32	coaches	coach	NOUN
sc-589	14	33	and	and	CCONJ
sc-589	14	34	other	other	ADJ
sc-589	14	35	participants	participant	NOUN
sc-589	14	36	.	.	PUNCT
sc-589	15	1	as	as	ADP
sc-589	15	2	a	a	DET
sc-589	15	3	result	result	NOUN
sc-589	15	4	,	,	PUNCT
sc-589	15	5	it	it	PRON
sc-589	15	6	is	be	AUX
sc-589	15	7	evident	evident	ADJ
sc-589	15	8	that	that	SCONJ
sc-589	15	9	illness	illness	NOUN
sc-589	15	10	prevention	prevention	NOUN
sc-589	15	11	and	and	CCONJ
sc-589	15	12	early	early	ADJ
sc-589	15	13	and	and	CCONJ
sc-589	15	14	automatic	automatic	ADJ
sc-589	15	15	detection	detection	NOUN
sc-589	15	16	,	,	PUNCT
sc-589	15	17	particularly	particularly	ADV
sc-589	15	18	of	of	ADP
sc-589	15	19	chronic	chronic	ADJ
sc-589	15	20	diseases	disease	NOUN
sc-589	15	21	,	,	PUNCT
sc-589	15	22	is	be	AUX
sc-589	15	23	a	a	DET
sc-589	15	24	critical	critical	ADJ
sc-589	15	25	application	application	NOUN
sc-589	15	26	of	of	ADP
sc-589	15	27	academic	academic	ADJ
sc-589	15	28	research	research	NOUN
sc-589	15	29	in	in	ADP
sc-589	15	30	smart	smart	ADJ
sc-589	15	31	cities	city	NOUN
sc-589	15	32	with	with	ADP
sc-589	15	33	a	a	DET
sc-589	15	34	massive	massive	ADJ
sc-589	15	35	impact	impact	NOUN
sc-589	15	36	on	on	ADP
sc-589	15	37	people	people	NOUN
sc-589	15	38	’s	’s	PART
sc-589	15	39	lives	life	NOUN
sc-589	15	40	.	.	PUNCT
sc-589	16	1	in	in	ADP
sc-589	16	2	this	this	DET
sc-589	16	3	context	context	NOUN
sc-589	16	4	,	,	PUNCT
sc-589	16	5	this	this	DET
sc-589	16	6	paper	paper	NOUN
sc-589	16	7	is	be	AUX
sc-589	16	8	the	the	DET
sc-589	16	9	evolution	evolution	NOUN
sc-589	16	10	of	of	ADP
sc-589	16	11	a	a	DET
sc-589	16	12	previously	previously	ADV
sc-589	16	13	published	publish	VERB
sc-589	16	14	work	work	NOUN
sc-589	16	15	,	,	PUNCT
sc-589	16	16	in	in	ADP
sc-589	16	17	[	[	X
sc-589	16	18	4	4	NUM
sc-589	16	19	]	]	PUNCT
sc-589	16	20	,	,	PUNCT
sc-589	16	21	to	to	PART
sc-589	16	22	deepen	deepen	VERB
sc-589	16	23	the	the	DET
sc-589	16	24	study	study	NOUN
sc-589	16	25	previously	previously	ADV
sc-589	16	26	conducted	conduct	VERB
sc-589	16	27	and	and	CCONJ
sc-589	16	28	explore	explore	VERB
sc-589	16	29	improvement	improvement	NOUN
sc-589	16	30	opportunities	opportunity	NOUN
sc-589	16	31	identified	identify	VERB
sc-589	16	32	in	in	ADP
sc-589	16	33	that	that	DET
sc-589	16	34	work	work	NOUN
sc-589	16	35	.	.	PUNCT
sc-589	17	1	as	as	ADP
sc-589	17	2	such	such	ADJ
sc-589	17	3	,	,	PUNCT
sc-589	17	4	building	build	VERB
sc-589	17	5	on	on	ADP
sc-589	17	6	what	what	PRON
sc-589	17	7	was	be	AUX
sc-589	17	8	already	already	ADV
sc-589	17	9	achieved	achieve	VERB
sc-589	17	10	,	,	PUNCT
sc-589	17	11	the	the	DET
sc-589	17	12	main	main	ADJ
sc-589	17	13	goal	goal	NOUN
sc-589	17	14	is	be	AUX
sc-589	17	15	to	to	PART
sc-589	17	16	diversify	diversify	VERB
sc-589	17	17	the	the	DET
sc-589	17	18	application	application	NOUN
sc-589	17	19	of	of	ADP
sc-589	17	20	data	datum	NOUN
sc-589	17	21	mining	mining	NOUN
sc-589	17	22	techniques	technique	NOUN
sc-589	17	23	previously	previously	ADV
sc-589	17	24	applied	apply	VERB
sc-589	17	25	to	to	PART
sc-589	17	26	identify	identify	VERB
sc-589	17	27	the	the	DET
sc-589	17	28	occurrence	occurrence	NOUN
sc-589	17	29	of	of	ADP
sc-589	17	30	diabetes	diabetes	NOUN
sc-589	17	31	illness	illness	NOUN
sc-589	17	32	on	on	ADP
sc-589	17	33	patients	patient	NOUN
sc-589	17	34	using	use	VERB
sc-589	17	35	a	a	DET
sc-589	17	36	dataset	dataset	NOUN
sc-589	17	37	from	from	ADP
sc-589	17	38	the	the	DET
sc-589	17	39	pima	pima	PROPN
sc-589	17	40	female	female	ADJ
sc-589	17	41	adult	adult	NOUN
sc-589	17	42	population	population	NOUN
sc-589	17	43	,	,	PUNCT
sc-589	17	44	taking	take	VERB
sc-589	17	45	into	into	ADP
sc-589	17	46	consideration	consideration	NOUN
sc-589	17	47	several	several	ADJ
sc-589	17	48	factors	factor	NOUN
sc-589	17	49	.	.	PUNCT
sc-589	18	1	this	this	DET
sc-589	18	2	article	article	NOUN
sc-589	18	3	is	be	AUX
sc-589	18	4	divided	divide	VERB
sc-589	18	5	into	into	ADP
sc-589	18	6	five	five	NUM
sc-589	18	7	sections	section	NOUN
sc-589	18	8	in	in	ADP
sc-589	18	9	terms	term	NOUN
sc-589	18	10	of	of	ADP
sc-589	18	11	content	content	NOUN
sc-589	18	12	.	.	PUNCT
sc-589	19	1	the	the	DET
sc-589	19	2	second	second	ADJ
sc-589	19	3	section	section	NOUN
sc-589	19	4	,	,	PUNCT
sc-589	19	5	background	background	NOUN
sc-589	19	6	and	and	CCONJ
sc-589	19	7	related	related	ADJ
sc-589	19	8	work	work	NOUN
sc-589	19	9	,	,	PUNCT
sc-589	19	10	follows	follow	VERB
sc-589	19	11	the	the	DET
sc-589	19	12	introduction	introduction	NOUN
sc-589	19	13	with	with	ADP
sc-589	19	14	a	a	DET
sc-589	19	15	brief	brief	ADJ
sc-589	19	16	summary	summary	NOUN
sc-589	19	17	1https://www.health.ny.gov/health_care/medicaid/redesign/	1https://www.health.ny.gov/health_care/medicaid/redesign/	NUM
sc-589	19	18	ndpp	ndpp	NOUN
sc-589	19	19	/	/	SYM
sc-589	19	20	index.htm	index.htm	X
sc-589	19	21	1	1	NUM
sc-589	19	22	eai	eai	NOUN
sc-589	19	23	endorsed	endorse	VERB
sc-589	19	24	transactions	transaction	NOUN
sc-589	19	25	on	on	ADP
sc-589	19	26	smart	smart	ADJ
sc-589	19	27	cities	city	NOUN
sc-589	19	28	research	research	NOUN
sc-589	19	29	article	article	NOUN
sc-589	19	30	eai	eai	PROPN
sc-589	19	31	endorsed	endorse	VERB
sc-589	19	32	transactions	transaction	NOUN
sc-589	19	33	on	on	ADP
sc-589	19	34	smart	smart	ADJ
sc-589	19	35	cities	city	NOUN
sc-589	19	36	03	03	NUM
sc-589	19	37	2022	2022	NUM
sc-589	19	38	09	09	NUM
sc-589	19	39	2022	2022	NUM
sc-589	19	40	|	|	ADV
sc-589	19	41	volume	volume	NOUN
sc-589	19	42	6	6	NUM
sc-589	19	43	|	|	NOUN
sc-589	19	44	issue	issue	NOUN
sc-589	19	45	18	18	NUM
sc-589	19	46	|	|	NOUN
sc-589	19	47	e1	e1	PROPN
sc-589	19	48	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
sc-589	20	1	mailto:<hpeixoto@di.uminho.pt	mailto:<hpeixoto@di.uminho.pt	NOUN
sc-589	20	2	>	>	PROPN
sc-589	20	3	https://www.health.ny.gov/health_care/medicaid/redesign/ndpp/index.htm	https://www.health.ny.gov/health_care/medicaid/redesign/ndpp/index.htm	PROPN
sc-589	21	1	https://www.health.ny.gov/health_care/medicaid/redesign/ndpp/index.htm	https://www.health.ny.gov/health_care/medicaid/redesign/ndpp/index.htm	PROPN
sc-589	21	2	hugo	hugo	PROPN
sc-589	21	3	peixoto	peixoto	PROPN
sc-589	21	4	et	et	PROPN
sc-589	21	5	al	al	PROPN
sc-589	21	6	.	.	PROPN
sc-589	21	7	of	of	ADP
sc-589	21	8	what	what	PRON
sc-589	21	9	is	be	AUX
sc-589	21	10	smart	smart	ADJ
sc-589	21	11	health	health	NOUN
sc-589	21	12	and	and	CCONJ
sc-589	21	13	its	its	PRON
sc-589	21	14	role	role	NOUN
sc-589	21	15	in	in	ADP
sc-589	21	16	the	the	DET
sc-589	21	17	smart	smart	ADJ
sc-589	21	18	city	city	NOUN
sc-589	21	19	concept	concept	NOUN
sc-589	21	20	,	,	PUNCT
sc-589	21	21	followed	follow	VERB
sc-589	21	22	by	by	ADP
sc-589	21	23	an	an	DET
sc-589	21	24	explanation	explanation	NOUN
sc-589	21	25	on	on	ADP
sc-589	21	26	diabetic	diabetic	ADJ
sc-589	21	27	illness	illness	NOUN
sc-589	21	28	,	,	PUNCT
sc-589	21	29	and	and	CCONJ
sc-589	21	30	,	,	PUNCT
sc-589	21	31	lastly	lastly	ADV
sc-589	21	32	,	,	PUNCT
sc-589	21	33	earlier	early	ADJ
sc-589	21	34	research	research	NOUN
sc-589	21	35	and	and	CCONJ
sc-589	21	36	related	related	ADJ
sc-589	21	37	work	work	NOUN
sc-589	21	38	on	on	ADP
sc-589	21	39	the	the	DET
sc-589	21	40	issue	issue	NOUN
sc-589	21	41	at	at	ADP
sc-589	21	42	hand	hand	NOUN
sc-589	21	43	.	.	PUNCT
sc-589	22	1	the	the	DET
sc-589	22	2	third	third	ADJ
sc-589	22	3	part	part	NOUN
sc-589	22	4	,	,	PUNCT
sc-589	22	5	methodology	methodology	NOUN
sc-589	22	6	,	,	PUNCT
sc-589	22	7	discusses	discuss	VERB
sc-589	22	8	the	the	DET
sc-589	22	9	crisp	crisp	ADJ
sc-589	22	10	-	-	PUNCT
sc-589	22	11	dm	dm	NOUN
sc-589	22	12	procedures	procedure	NOUN
sc-589	22	13	in	in	ADP
sc-589	22	14	use	use	NOUN
sc-589	22	15	,	,	PUNCT
sc-589	22	16	which	which	PRON
sc-589	22	17	include	include	VERB
sc-589	22	18	business	business	NOUN
sc-589	22	19	and	and	CCONJ
sc-589	22	20	data	datum	NOUN
sc-589	22	21	comprehension	comprehension	NOUN
sc-589	22	22	,	,	PUNCT
sc-589	22	23	data	datum	NOUN
sc-589	22	24	preparation	preparation	NOUN
sc-589	22	25	,	,	PUNCT
sc-589	22	26	modeling	modeling	NOUN
sc-589	22	27	,	,	PUNCT
sc-589	22	28	and	and	CCONJ
sc-589	22	29	assessment	assessment	NOUN
sc-589	22	30	.	.	PUNCT
sc-589	23	1	the	the	DET
sc-589	23	2	analysis	analysis	NOUN
sc-589	23	3	and	and	CCONJ
sc-589	23	4	discussion	discussion	NOUN
sc-589	23	5	of	of	ADP
sc-589	23	6	both	both	CCONJ
sc-589	23	7	the	the	DET
sc-589	23	8	attained	attain	VERB
sc-589	23	9	outcomes	outcome	NOUN
sc-589	23	10	and	and	CCONJ
sc-589	23	11	the	the	DET
sc-589	23	12	underlying	underlie	VERB
sc-589	23	13	work	work	NOUN
sc-589	23	14	that	that	PRON
sc-589	23	15	was	be	AUX
sc-589	23	16	necessary	necessary	ADJ
sc-589	23	17	to	to	PART
sc-589	23	18	reach	reach	VERB
sc-589	23	19	those	those	DET
sc-589	23	20	results	result	NOUN
sc-589	23	21	are	be	AUX
sc-589	23	22	presented	present	VERB
sc-589	23	23	in	in	ADP
sc-589	23	24	section	section	NOUN
sc-589	23	25	four	four	NUM
sc-589	23	26	.	.	PUNCT
sc-589	24	1	finally	finally	ADV
sc-589	24	2	,	,	PUNCT
sc-589	24	3	the	the	DET
sc-589	24	4	last	last	ADJ
sc-589	24	5	part	part	NOUN
sc-589	24	6	discusses	discuss	VERB
sc-589	24	7	the	the	DET
sc-589	24	8	conclusions	conclusion	NOUN
sc-589	24	9	as	as	ADV
sc-589	24	10	well	well	ADV
sc-589	24	11	as	as	ADP
sc-589	24	12	future	future	ADJ
sc-589	24	13	work	work	NOUN
sc-589	24	14	and	and	CCONJ
sc-589	24	15	improvements	improvement	NOUN
sc-589	24	16	on	on	ADP
sc-589	24	17	the	the	DET
sc-589	24	18	current	current	ADJ
sc-589	24	19	work	work	NOUN
sc-589	24	20	.	.	PUNCT
sc-589	25	1	2	2	X
sc-589	25	2	.	.	X
sc-589	25	3	background	background	NOUN
sc-589	25	4	and	and	CCONJ
sc-589	25	5	related	relate	VERB
sc-589	25	6	work	work	NOUN
sc-589	25	7	2.1	2.1	NUM
sc-589	25	8	.	.	PUNCT
sc-589	26	1	smart	smart	ADJ
sc-589	26	2	cities	city	NOUN
sc-589	26	3	and	and	CCONJ
sc-589	26	4	smart	smart	ADJ
sc-589	26	5	health	health	NOUN
sc-589	26	6	smart	smart	ADJ
sc-589	26	7	cities	city	NOUN
sc-589	26	8	are	be	AUX
sc-589	26	9	a	a	DET
sc-589	26	10	collection	collection	NOUN
sc-589	26	11	of	of	ADP
sc-589	26	12	technology	technology	NOUN
sc-589	26	13	techniques	technique	NOUN
sc-589	26	14	and	and	CCONJ
sc-589	26	15	mechanisms	mechanism	NOUN
sc-589	26	16	woven	weave	VERB
sc-589	26	17	together	together	ADV
sc-589	26	18	by	by	ADP
sc-589	26	19	digital	digital	ADJ
sc-589	26	20	systems	system	NOUN
sc-589	26	21	capable	capable	ADJ
sc-589	26	22	of	of	ADP
sc-589	26	23	collecting	collect	VERB
sc-589	26	24	and	and	CCONJ
sc-589	26	25	analyzing	analyze	VERB
sc-589	26	26	massive	massive	ADJ
sc-589	26	27	amounts	amount	NOUN
sc-589	26	28	of	of	ADP
sc-589	26	29	data	datum	NOUN
sc-589	26	30	generated	generate	VERB
sc-589	26	31	by	by	ADP
sc-589	26	32	a	a	DET
sc-589	26	33	variety	variety	NOUN
sc-589	26	34	of	of	ADP
sc-589	26	35	sources	source	NOUN
sc-589	26	36	,	,	PUNCT
sc-589	26	37	including	include	VERB
sc-589	26	38	low	low	ADJ
sc-589	26	39	-	-	PUNCT
sc-589	26	40	cost	cost	NOUN
sc-589	26	41	sensors	sensor	NOUN
sc-589	26	42	,	,	PUNCT
sc-589	26	43	mobile	mobile	ADJ
sc-589	26	44	devices	device	NOUN
sc-589	26	45	,	,	PUNCT
sc-589	26	46	and	and	CCONJ
sc-589	26	47	networks	network	NOUN
sc-589	26	48	.	.	PUNCT
sc-589	27	1	all	all	PRON
sc-589	27	2	of	of	ADP
sc-589	27	3	this	this	DET
sc-589	27	4	information	information	NOUN
sc-589	27	5	is	be	AUX
sc-589	27	6	gathered	gather	VERB
sc-589	27	7	and	and	CCONJ
sc-589	27	8	evaluated	evaluate	VERB
sc-589	27	9	in	in	ADP
sc-589	27	10	order	order	NOUN
sc-589	27	11	to	to	PART
sc-589	27	12	develop	develop	VERB
sc-589	27	13	intelligent	intelligent	ADJ
sc-589	27	14	and	and	CCONJ
sc-589	27	15	automated	automated	ADJ
sc-589	27	16	mechanisms	mechanism	NOUN
sc-589	27	17	that	that	PRON
sc-589	27	18	improve	improve	VERB
sc-589	27	19	the	the	DET
sc-589	27	20	overall	overall	ADJ
sc-589	27	21	quality	quality	NOUN
sc-589	27	22	of	of	ADP
sc-589	27	23	life	life	NOUN
sc-589	27	24	for	for	ADP
sc-589	27	25	residents	resident	NOUN
sc-589	27	26	[	[	X
sc-589	27	27	5	5	NUM
sc-589	27	28	]	]	PUNCT
sc-589	27	29	.	.	PUNCT
sc-589	28	1	as	as	ADP
sc-589	28	2	such	such	ADJ
sc-589	28	3	,	,	PUNCT
sc-589	28	4	the	the	DET
sc-589	28	5	endeavor	endeavor	NOUN
sc-589	28	6	to	to	PART
sc-589	28	7	transform	transform	VERB
sc-589	28	8	current	current	ADJ
sc-589	28	9	cities	city	NOUN
sc-589	28	10	into	into	ADP
sc-589	28	11	smart	smart	ADJ
sc-589	28	12	ones	one	NOUN
sc-589	28	13	can	can	AUX
sc-589	28	14	and	and	CCONJ
sc-589	28	15	will	will	AUX
sc-589	28	16	undoubtedly	undoubtedly	ADV
sc-589	28	17	impact	impact	VERB
sc-589	28	18	and	and	CCONJ
sc-589	28	19	disrupt	disrupt	VERB
sc-589	28	20	different	different	ADJ
sc-589	28	21	sectors	sector	NOUN
sc-589	28	22	,	,	PUNCT
sc-589	28	23	such	such	ADJ
sc-589	28	24	as	as	ADP
sc-589	28	25	urban	urban	ADJ
sc-589	28	26	mobility	mobility	NOUN
sc-589	28	27	,	,	PUNCT
sc-589	28	28	transportation	transportation	NOUN
sc-589	28	29	,	,	PUNCT
sc-589	28	30	resources	resource	NOUN
sc-589	28	31	(	(	PUNCT
sc-589	28	32	water	water	NOUN
sc-589	28	33	,	,	PUNCT
sc-589	28	34	power	power	NOUN
sc-589	28	35	and	and	CCONJ
sc-589	28	36	heating	heating	NOUN
sc-589	28	37	energy	energy	NOUN
sc-589	28	38	,	,	PUNCT
sc-589	28	39	etc	etc	X
sc-589	28	40	)	)	PUNCT
sc-589	28	41	and	and	CCONJ
sc-589	28	42	waste	waste	NOUN
sc-589	28	43	management	management	NOUN
sc-589	28	44	,	,	PUNCT
sc-589	28	45	environment	environment	NOUN
sc-589	28	46	,	,	PUNCT
sc-589	28	47	politics	politic	NOUN
sc-589	28	48	and	and	CCONJ
sc-589	28	49	governance	governance	NOUN
sc-589	28	50	,	,	PUNCT
sc-589	28	51	economy	economy	NOUN
sc-589	28	52	and	and	CCONJ
sc-589	28	53	,	,	PUNCT
sc-589	28	54	of	of	ADP
sc-589	28	55	course	course	NOUN
sc-589	28	56	,	,	PUNCT
sc-589	28	57	health	health	NOUN
sc-589	28	58	and	and	CCONJ
sc-589	28	59	healthcare	healthcare	NOUN
sc-589	28	60	[	[	X
sc-589	28	61	6	6	NUM
sc-589	28	62	,	,	PUNCT
sc-589	28	63	7	7	NUM
sc-589	28	64	]	]	PUNCT
sc-589	28	65	.	.	PUNCT
sc-589	29	1	smart	smart	ADJ
sc-589	29	2	health	health	NOUN
sc-589	29	3	,	,	PUNCT
sc-589	29	4	as	as	ADP
sc-589	29	5	its	its	PRON
sc-589	29	6	parent	parent	NOUN
sc-589	29	7	concept	concept	NOUN
sc-589	29	8	,	,	PUNCT
sc-589	29	9	can	can	AUX
sc-589	29	10	also	also	ADV
sc-589	29	11	be	be	AUX
sc-589	29	12	seen	see	VERB
sc-589	29	13	as	as	ADP
sc-589	29	14	a	a	DET
sc-589	29	15	complexion	complexion	NOUN
sc-589	29	16	of	of	ADP
sc-589	29	17	different	different	ADJ
sc-589	29	18	concepts	concept	NOUN
sc-589	29	19	,	,	PUNCT
sc-589	29	20	such	such	ADJ
sc-589	29	21	as	as	ADP
sc-589	29	22	mobile	mobile	ADJ
sc-589	29	23	health	health	NOUN
sc-589	29	24	and	and	CCONJ
sc-589	29	25	electronic	electronic	ADJ
sc-589	29	26	health	health	NOUN
sc-589	29	27	.	.	PUNCT
sc-589	30	1	these	these	DET
sc-589	30	2	concepts	concept	NOUN
sc-589	30	3	include	include	VERB
sc-589	30	4	every	every	DET
sc-589	30	5	system	system	NOUN
sc-589	30	6	and	and	CCONJ
sc-589	30	7	application	application	NOUN
sc-589	30	8	that	that	PRON
sc-589	30	9	focuses	focus	VERB
sc-589	30	10	on	on	ADP
sc-589	30	11	improving	improve	VERB
sc-589	30	12	and	and	CCONJ
sc-589	30	13	streamlining	streamline	VERB
sc-589	30	14	the	the	DET
sc-589	30	15	complexity	complexity	NOUN
sc-589	30	16	of	of	ADP
sc-589	30	17	clinical	clinical	ADJ
sc-589	30	18	processes	process	NOUN
sc-589	30	19	,	,	PUNCT
sc-589	30	20	and	and	CCONJ
sc-589	30	21	illness	illness	NOUN
sc-589	30	22	treatment	treatment	NOUN
sc-589	30	23	.	.	PUNCT
sc-589	31	1	the	the	DET
sc-589	31	2	area	area	NOUN
sc-589	31	3	more	more	ADV
sc-589	31	4	specific	specific	ADJ
sc-589	31	5	to	to	PART
sc-589	31	6	smart	smart	ADJ
sc-589	31	7	health	health	NOUN
sc-589	31	8	is	be	AUX
sc-589	31	9	the	the	DET
sc-589	31	10	preparation	preparation	NOUN
sc-589	31	11	and	and	CCONJ
sc-589	31	12	analysis	analysis	NOUN
sc-589	31	13	of	of	ADP
sc-589	31	14	all	all	DET
sc-589	31	15	the	the	DET
sc-589	31	16	generated	generate	VERB
sc-589	31	17	health	health	NOUN
sc-589	31	18	data	datum	NOUN
sc-589	31	19	and	and	CCONJ
sc-589	31	20	use	use	VERB
sc-589	31	21	that	that	DET
sc-589	31	22	data	datum	NOUN
sc-589	31	23	to	to	PART
sc-589	31	24	extract	extract	VERB
sc-589	31	25	relevant	relevant	ADJ
sc-589	31	26	knowledge	knowledge	NOUN
sc-589	31	27	that	that	PRON
sc-589	31	28	is	be	AUX
sc-589	31	29	crucial	crucial	ADJ
sc-589	31	30	to	to	PART
sc-589	31	31	develop	develop	VERB
sc-589	31	32	intelligent	intelligent	ADJ
sc-589	31	33	and	and	CCONJ
sc-589	31	34	,	,	PUNCT
sc-589	31	35	most	most	ADV
sc-589	31	36	importantly	importantly	ADV
sc-589	31	37	,	,	PUNCT
sc-589	31	38	automated	automate	VERB
sc-589	31	39	processes	process	NOUN
sc-589	31	40	such	such	ADJ
sc-589	31	41	as	as	ADP
sc-589	31	42	early	early	ADJ
sc-589	31	43	illness	illness	NOUN
sc-589	31	44	diagnosis	diagnosis	NOUN
sc-589	31	45	and	and	CCONJ
sc-589	31	46	identification	identification	NOUN
sc-589	31	47	.	.	PUNCT
sc-589	32	1	this	this	DET
sc-589	32	2	last	last	ADJ
sc-589	32	3	effort	effort	NOUN
sc-589	32	4	of	of	ADP
sc-589	32	5	being	be	AUX
sc-589	32	6	able	able	ADJ
sc-589	32	7	to	to	PART
sc-589	32	8	achieve	achieve	VERB
sc-589	32	9	early	early	ADJ
sc-589	32	10	,	,	PUNCT
sc-589	32	11	intelligent	intelligent	ADJ
sc-589	32	12	and	and	CCONJ
sc-589	32	13	automated	automate	VERB
sc-589	32	14	illness	illness	NOUN
sc-589	32	15	diagnosis	diagnosis	NOUN
sc-589	32	16	is	be	AUX
sc-589	32	17	being	be	AUX
sc-589	32	18	undertaken	undertake	VERB
sc-589	32	19	by	by	ADP
sc-589	32	20	a	a	DET
sc-589	32	21	multitude	multitude	NOUN
sc-589	32	22	of	of	ADP
sc-589	32	23	different	different	ADJ
sc-589	32	24	research	research	NOUN
sc-589	32	25	teams	team	NOUN
sc-589	32	26	,	,	PUNCT
sc-589	32	27	on	on	ADP
sc-589	32	28	different	different	ADJ
sc-589	32	29	illnesses	illness	NOUN
sc-589	32	30	,	,	PUNCT
sc-589	32	31	by	by	ADP
sc-589	32	32	the	the	DET
sc-589	32	33	usage	usage	NOUN
sc-589	32	34	of	of	ADP
sc-589	32	35	machine	machine	NOUN
sc-589	32	36	learning	learning	NOUN
sc-589	32	37	and	and	CCONJ
sc-589	32	38	data	datum	NOUN
sc-589	32	39	mining	mining	NOUN
sc-589	32	40	techniques	technique	NOUN
sc-589	32	41	[	[	X
sc-589	32	42	8	8	NUM
sc-589	32	43	,	,	PUNCT
sc-589	32	44	9	9	NUM
sc-589	32	45	]	]	PUNCT
sc-589	32	46	.	.	PUNCT
sc-589	33	1	2.2	2.2	NUM
sc-589	33	2	.	.	PUNCT
sc-589	34	1	diabetes	diabetes	NOUN
sc-589	34	2	diabetes	diabetes	NOUN
sc-589	34	3	is	be	AUX
sc-589	34	4	a	a	DET
sc-589	34	5	chronic	chronic	ADJ
sc-589	34	6	disease	disease	NOUN
sc-589	34	7	that	that	PRON
sc-589	34	8	occurs	occur	VERB
sc-589	34	9	when	when	SCONJ
sc-589	34	10	the	the	DET
sc-589	34	11	pancreas	pancrea	NOUN
sc-589	34	12	fails	fail	VERB
sc-589	34	13	to	to	PART
sc-589	34	14	generate	generate	VERB
sc-589	34	15	enough	enough	ADJ
sc-589	34	16	insulin2	insulin2	NOUN
sc-589	34	17	or	or	CCONJ
sc-589	34	18	when	when	SCONJ
sc-589	34	19	the	the	DET
sc-589	34	20	body	body	NOUN
sc-589	34	21	’s	’s	PART
sc-589	34	22	own	own	ADJ
sc-589	34	23	insulin	insulin	NOUN
sc-589	34	24	is	be	AUX
sc-589	34	25	used	use	VERB
sc-589	34	26	ineffectively	ineffectively	ADV
sc-589	34	27	.	.	PUNCT
sc-589	35	1	uncontrolled	uncontrolled	ADJ
sc-589	35	2	2insulin	2insulin	NUM
sc-589	35	3	is	be	AUX
sc-589	35	4	a	a	DET
sc-589	35	5	hormone	hormone	NOUN
sc-589	35	6	that	that	PRON
sc-589	35	7	helps	help	VERB
sc-589	35	8	to	to	PART
sc-589	35	9	keep	keep	VERB
sc-589	35	10	blood	blood	NOUN
sc-589	35	11	sugar	sugar	NOUN
sc-589	35	12	levels	level	NOUN
sc-589	35	13	in	in	ADP
sc-589	35	14	check	check	NOUN
sc-589	35	15	.	.	PUNCT
sc-589	36	1	diabetes	diabetes	NOUN
sc-589	36	2	leads	lead	VERB
sc-589	36	3	to	to	ADP
sc-589	36	4	hyperglycemia	hyperglycemia	NOUN
sc-589	36	5	,	,	PUNCT
sc-589	36	6	or	or	CCONJ
sc-589	36	7	high	high	ADJ
sc-589	36	8	blood	blood	NOUN
sc-589	36	9	sugar	sugar	NOUN
sc-589	36	10	,	,	PUNCT
sc-589	36	11	which	which	PRON
sc-589	36	12	over	over	ADP
sc-589	36	13	time	time	NOUN
sc-589	36	14	causes	cause	VERB
sc-589	36	15	catastrophic	catastrophic	ADJ
sc-589	36	16	damage	damage	NOUN
sc-589	36	17	to	to	ADP
sc-589	36	18	many	many	ADJ
sc-589	36	19	body	body	NOUN
sc-589	36	20	systems	system	NOUN
sc-589	36	21	,	,	PUNCT
sc-589	36	22	including	include	VERB
sc-589	36	23	neurons	neuron	NOUN
sc-589	36	24	and	and	CCONJ
sc-589	36	25	blood	blood	NOUN
sc-589	36	26	vessels	vessel	NOUN
sc-589	36	27	.	.	PUNCT
sc-589	37	1	it	it	PRON
sc-589	37	2	can	can	AUX
sc-589	37	3	cause	cause	VERB
sc-589	37	4	problems	problem	NOUN
sc-589	37	5	in	in	ADP
sc-589	37	6	many	many	ADJ
sc-589	37	7	areas	area	NOUN
sc-589	37	8	of	of	ADP
sc-589	37	9	the	the	DET
sc-589	37	10	body	body	NOUN
sc-589	37	11	and	and	CCONJ
sc-589	37	12	increase	increase	VERB
sc-589	37	13	the	the	DET
sc-589	37	14	risk	risk	NOUN
sc-589	37	15	of	of	ADP
sc-589	37	16	early	early	ADJ
sc-589	37	17	death	death	NOUN
sc-589	37	18	in	in	ADP
sc-589	37	19	any	any	DET
sc-589	37	20	form	form	NOUN
sc-589	37	21	.	.	PUNCT
sc-589	38	1	kidney	kidney	NOUN
sc-589	38	2	failure	failure	NOUN
sc-589	38	3	,	,	PUNCT
sc-589	38	4	amputation	amputation	NOUN
sc-589	38	5	of	of	ADP
sc-589	38	6	a	a	DET
sc-589	38	7	limb	limb	NOUN
sc-589	38	8	,	,	PUNCT
sc-589	38	9	vision	vision	NOUN
sc-589	38	10	loss	loss	NOUN
sc-589	38	11	,	,	PUNCT
sc-589	38	12	and	and	CCONJ
sc-589	38	13	nerve	nerve	NOUN
sc-589	38	14	damage	damage	NOUN
sc-589	38	15	are	be	AUX
sc-589	38	16	all	all	PRON
sc-589	38	17	possible	possible	ADJ
sc-589	38	18	outcomes	outcome	NOUN
sc-589	38	19	.	.	PUNCT
sc-589	39	1	adults	adult	NOUN
sc-589	39	2	with	with	ADP
sc-589	39	3	diabetes	diabetes	NOUN
sc-589	39	4	have	have	VERB
sc-589	39	5	a	a	DET
sc-589	39	6	two	two	NUM
sc-589	39	7	to	to	PART
sc-589	39	8	threefold	threefold	ADV
sc-589	39	9	increased	increase	VERB
sc-589	39	10	risk	risk	NOUN
sc-589	39	11	of	of	ADP
sc-589	39	12	heart	heart	NOUN
sc-589	39	13	attacks	attack	NOUN
sc-589	39	14	and	and	CCONJ
sc-589	39	15	strokes	stroke	NOUN
sc-589	39	16	.	.	PUNCT
sc-589	40	1	furthermore	furthermore	ADV
sc-589	40	2	,	,	PUNCT
sc-589	40	3	untreated	untreated	ADJ
sc-589	40	4	diabetes	diabetes	NOUN
sc-589	40	5	during	during	ADP
sc-589	40	6	pregnancy	pregnancy	NOUN
sc-589	40	7	raises	raise	VERB
sc-589	40	8	the	the	DET
sc-589	40	9	risk	risk	NOUN
sc-589	40	10	of	of	ADP
sc-589	40	11	fetal	fetal	ADJ
sc-589	40	12	mortality	mortality	NOUN
sc-589	40	13	and	and	CCONJ
sc-589	40	14	other	other	ADJ
sc-589	40	15	complications	complication	NOUN
sc-589	40	16	.	.	PUNCT
sc-589	41	1	finally	finally	ADV
sc-589	41	2	,	,	PUNCT
sc-589	41	3	early	early	ADJ
sc-589	41	4	detection	detection	NOUN
sc-589	41	5	is	be	AUX
sc-589	41	6	possible	possible	ADJ
sc-589	41	7	with	with	ADP
sc-589	41	8	relatively	relatively	ADV
sc-589	41	9	simple	simple	ADJ
sc-589	41	10	blood	blood	NOUN
sc-589	41	11	tests	test	NOUN
sc-589	41	12	.	.	PUNCT
sc-589	42	1	this	this	DET
sc-589	42	2	disease	disease	NOUN
sc-589	42	3	affects	affect	VERB
sc-589	42	4	approximately	approximately	ADV
sc-589	42	5	422	422	NUM
sc-589	42	6	million	million	NUM
sc-589	42	7	people	people	NOUN
sc-589	42	8	worldwide	worldwide	ADV
sc-589	42	9	,	,	PUNCT
sc-589	42	10	the	the	DET
sc-589	42	11	majority	majority	NOUN
sc-589	42	12	of	of	ADP
sc-589	42	13	whom	whom	PRON
sc-589	42	14	live	live	VERB
sc-589	42	15	in	in	ADP
sc-589	42	16	lowand	lowand	ADJ
sc-589	42	17	middle	middle	ADJ
sc-589	42	18	-	-	PUNCT
sc-589	42	19	income	income	NOUN
sc-589	42	20	countries	country	NOUN
sc-589	42	21	,	,	PUNCT
sc-589	42	22	and	and	CCONJ
sc-589	42	23	causes	cause	VERB
sc-589	42	24	1.6	1.6	NUM
sc-589	42	25	million	million	NUM
sc-589	42	26	deaths	death	NOUN
sc-589	42	27	each	each	DET
sc-589	42	28	year	year	NOUN
sc-589	42	29	.	.	PUNCT
sc-589	43	1	both	both	CCONJ
sc-589	43	2	the	the	DET
sc-589	43	3	number	number	NOUN
sc-589	43	4	of	of	ADP
sc-589	43	5	cases	case	NOUN
sc-589	43	6	and	and	CCONJ
sc-589	43	7	the	the	DET
sc-589	43	8	prevalence	prevalence	NOUN
sc-589	43	9	of	of	ADP
sc-589	43	10	diabetes	diabetes	NOUN
sc-589	43	11	have	have	AUX
sc-589	43	12	risen	rise	VERB
sc-589	43	13	dramatically	dramatically	ADV
sc-589	43	14	in	in	ADP
sc-589	43	15	recent	recent	ADJ
sc-589	43	16	decades	decade	NOUN
sc-589	43	17	[	[	X
sc-589	43	18	10	10	NUM
sc-589	43	19	]	]	PUNCT
sc-589	43	20	.	.	PUNCT
sc-589	44	1	2.3	2.3	NUM
sc-589	44	2	.	.	PUNCT
sc-589	44	3	related	relate	VERB
sc-589	44	4	work	work	NOUN
sc-589	44	5	the	the	DET
sc-589	44	6	practice	practice	NOUN
sc-589	44	7	of	of	ADP
sc-589	44	8	detecting	detect	VERB
sc-589	44	9	patterns	pattern	NOUN
sc-589	44	10	in	in	ADP
sc-589	44	11	data	datum	NOUN
sc-589	44	12	is	be	AUX
sc-589	44	13	known	know	VERB
sc-589	44	14	as	as	ADP
sc-589	44	15	data	data	NOUN
sc-589	44	16	mining	mining	NOUN
sc-589	44	17	.	.	PUNCT
sc-589	45	1	in	in	ADP
sc-589	45	2	order	order	NOUN
sc-589	45	3	to	to	PART
sc-589	45	4	yield	yield	VERB
sc-589	45	5	a	a	DET
sc-589	45	6	benefit	benefit	NOUN
sc-589	45	7	,	,	PUNCT
sc-589	45	8	the	the	DET
sc-589	45	9	patterns	pattern	NOUN
sc-589	45	10	detected	detect	VERB
sc-589	45	11	must	must	AUX
sc-589	45	12	be	be	AUX
sc-589	45	13	relevant	relevant	ADJ
sc-589	45	14	.	.	PUNCT
sc-589	46	1	useful	useful	ADJ
sc-589	46	2	patterns	pattern	NOUN
sc-589	46	3	allow	allow	VERB
sc-589	46	4	us	we	PRON
sc-589	46	5	to	to	PART
sc-589	46	6	make	make	VERB
sc-589	46	7	nontrivial	nontrivial	ADJ
sc-589	46	8	predictions	prediction	NOUN
sc-589	46	9	on	on	ADP
sc-589	46	10	new	new	ADJ
sc-589	46	11	data	datum	NOUN
sc-589	46	12	[	[	X
sc-589	46	13	11	11	NUM
sc-589	46	14	,	,	PUNCT
sc-589	46	15	12	12	NUM
sc-589	46	16	]	]	PUNCT
sc-589	46	17	.	.	PUNCT
sc-589	47	1	in	in	ADP
sc-589	47	2	the	the	DET
sc-589	47	3	health	health	NOUN
sc-589	47	4	industry	industry	NOUN
sc-589	47	5	,	,	PUNCT
sc-589	47	6	content	content	NOUN
sc-589	47	7	and	and	CCONJ
sc-589	47	8	structure	structure	NOUN
sc-589	47	9	began	begin	VERB
sc-589	47	10	to	to	PART
sc-589	47	11	change	change	VERB
sc-589	47	12	at	at	ADP
sc-589	47	13	a	a	DET
sc-589	47	14	rapid	rapid	ADJ
sc-589	47	15	pace	pace	NOUN
sc-589	47	16	as	as	ADP
sc-589	47	17	a	a	DET
sc-589	47	18	result	result	NOUN
sc-589	47	19	of	of	ADP
sc-589	47	20	computerized	computerized	ADJ
sc-589	47	21	technology	technology	NOUN
sc-589	47	22	.	.	PUNCT
sc-589	48	1	the	the	DET
sc-589	48	2	health	health	NOUN
sc-589	48	3	services	service	NOUN
sc-589	48	4	that	that	PRON
sc-589	48	5	are	be	AUX
sc-589	48	6	provided	provide	VERB
sc-589	48	7	must	must	AUX
sc-589	48	8	be	be	AUX
sc-589	48	9	quick	quick	ADJ
sc-589	48	10	,	,	PUNCT
sc-589	48	11	accurate	accurate	ADJ
sc-589	48	12	,	,	PUNCT
sc-589	48	13	and	and	CCONJ
sc-589	48	14	qualified	qualified	ADJ
sc-589	48	15	,	,	PUNCT
sc-589	48	16	as	as	ADV
sc-589	48	17	well	well	ADV
sc-589	48	18	as	as	ADP
sc-589	48	19	satisfy	satisfy	VERB
sc-589	48	20	the	the	DET
sc-589	48	21	requirements	requirement	NOUN
sc-589	48	22	.	.	PUNCT
sc-589	49	1	to	to	PART
sc-589	49	2	attain	attain	VERB
sc-589	49	3	these	these	DET
sc-589	49	4	objectives	objective	NOUN
sc-589	49	5	,	,	PUNCT
sc-589	49	6	healthcare	healthcare	NOUN
sc-589	49	7	professionals	professional	NOUN
sc-589	49	8	must	must	AUX
sc-589	49	9	have	have	VERB
sc-589	49	10	the	the	DET
sc-589	49	11	most	most	ADJ
sc-589	49	12	up	up	ADJ
sc-589	49	13	-	-	PUNCT
sc-589	49	14	todate	todate	VERB
sc-589	49	15	and	and	CCONJ
sc-589	49	16	correct	correct	ADJ
sc-589	49	17	information	information	NOUN
sc-589	49	18	,	,	PUNCT
sc-589	49	19	which	which	PRON
sc-589	49	20	they	they	PRON
sc-589	49	21	must	must	AUX
sc-589	49	22	employ	employ	VERB
sc-589	49	23	as	as	ADP
sc-589	49	24	a	a	DET
sc-589	49	25	meaningful	meaningful	ADJ
sc-589	49	26	aspect	aspect	NOUN
sc-589	49	27	in	in	ADP
sc-589	49	28	their	their	PRON
sc-589	49	29	decision	decision	NOUN
sc-589	49	30	-	-	PUNCT
sc-589	49	31	making	make	VERB
sc-589	49	32	processes	process	NOUN
sc-589	49	33	[	[	X
sc-589	49	34	13	13	NUM
sc-589	49	35	]	]	PUNCT
sc-589	49	36	.	.	PUNCT
sc-589	50	1	data	data	PROPN
sc-589	50	2	mining	mining	NOUN
sc-589	50	3	,	,	PUNCT
sc-589	50	4	which	which	PRON
sc-589	50	5	allows	allow	VERB
sc-589	50	6	for	for	ADP
sc-589	50	7	the	the	DET
sc-589	50	8	extraction	extraction	NOUN
sc-589	50	9	of	of	ADP
sc-589	50	10	relevant	relevant	ADJ
sc-589	50	11	and	and	CCONJ
sc-589	50	12	valuable	valuable	ADJ
sc-589	50	13	knowledge	knowledge	NOUN
sc-589	50	14	from	from	ADP
sc-589	50	15	vast	vast	ADJ
sc-589	50	16	amounts	amount	NOUN
sc-589	50	17	of	of	ADP
sc-589	50	18	data	datum	NOUN
sc-589	50	19	,	,	PUNCT
sc-589	50	20	provides	provide	VERB
sc-589	50	21	for	for	ADP
sc-589	50	22	effective	effective	ADJ
sc-589	50	23	use	use	NOUN
sc-589	50	24	of	of	ADP
sc-589	50	25	healthcare	healthcare	PROPN
sc-589	50	26	data	data	PROPN
sc-589	50	27	.	.	PUNCT
sc-589	51	1	data	datum	NOUN
sc-589	51	2	mining	mining	NOUN
sc-589	51	3	is	be	AUX
sc-589	51	4	utilized	utilize	VERB
sc-589	51	5	in	in	ADP
sc-589	51	6	healthcare	healthcare	NOUN
sc-589	51	7	to	to	PART
sc-589	51	8	assist	assist	VERB
sc-589	51	9	doctors	doctor	NOUN
sc-589	51	10	detect	detect	VERB
sc-589	51	11	and	and	CCONJ
sc-589	51	12	forecast	forecast	VERB
sc-589	51	13	various	various	ADJ
sc-589	51	14	ailments	ailment	NOUN
sc-589	51	15	[	[	X
sc-589	51	16	14–16	14–16	NUM
sc-589	51	17	]	]	PUNCT
sc-589	51	18	.	.	PUNCT
sc-589	52	1	furthermore	furthermore	ADV
sc-589	52	2	,	,	PUNCT
sc-589	52	3	the	the	DET
sc-589	52	4	use	use	NOUN
sc-589	52	5	of	of	ADP
sc-589	52	6	data	data	NOUN
sc-589	52	7	-	-	PUNCT
sc-589	52	8	mining	mining	NOUN
sc-589	52	9	techniques	technique	NOUN
sc-589	52	10	aids	aid	NOUN
sc-589	52	11	in	in	ADP
sc-589	52	12	the	the	DET
sc-589	52	13	creation	creation	NOUN
sc-589	52	14	of	of	ADP
sc-589	52	15	a	a	DET
sc-589	52	16	streamlined	streamlined	ADJ
sc-589	52	17	pipeline	pipeline	NOUN
sc-589	52	18	that	that	PRON
sc-589	52	19	includes	include	VERB
sc-589	52	20	all	all	DET
sc-589	52	21	relevant	relevant	ADJ
sc-589	52	22	phases	phase	NOUN
sc-589	52	23	of	of	ADP
sc-589	52	24	this	this	DET
sc-589	52	25	type	type	NOUN
sc-589	52	26	of	of	ADP
sc-589	52	27	work	work	NOUN
sc-589	52	28	(	(	PUNCT
sc-589	52	29	data	datum	NOUN
sc-589	52	30	analysis	analysis	NOUN
sc-589	52	31	,	,	PUNCT
sc-589	52	32	preparation	preparation	NOUN
sc-589	52	33	,	,	PUNCT
sc-589	52	34	model	model	NOUN
sc-589	52	35	development	development	NOUN
sc-589	52	36	and	and	CCONJ
sc-589	52	37	application	application	NOUN
sc-589	52	38	,	,	PUNCT
sc-589	52	39	results	result	VERB
sc-589	52	40	evaluation	evaluation	NOUN
sc-589	52	41	,	,	PUNCT
sc-589	52	42	and	and	CCONJ
sc-589	52	43	deployment	deployment	NOUN
sc-589	52	44	)	)	PUNCT
sc-589	52	45	and	and	CCONJ
sc-589	52	46	simplifies	simplify	VERB
sc-589	52	47	the	the	DET
sc-589	52	48	review	review	NOUN
sc-589	52	49	,	,	PUNCT
sc-589	52	50	improvement	improvement	NOUN
sc-589	52	51	,	,	PUNCT
sc-589	52	52	and	and	CCONJ
sc-589	52	53	comparison	comparison	NOUN
sc-589	52	54	process	process	NOUN
sc-589	52	55	[	[	X
sc-589	52	56	17	17	NUM
sc-589	52	57	,	,	PUNCT
sc-589	52	58	18	18	NUM
sc-589	52	59	]	]	PUNCT
sc-589	52	60	.	.	PUNCT
sc-589	53	1	in	in	ADP
sc-589	53	2	[	[	X
sc-589	53	3	19	19	NUM
sc-589	53	4	]	]	PUNCT
sc-589	53	5	,	,	PUNCT
sc-589	53	6	the	the	DET
sc-589	53	7	study	study	NOUN
sc-589	53	8	suggested	suggest	VERB
sc-589	53	9	to	to	PART
sc-589	53	10	identify	identify	VERB
sc-589	53	11	and	and	CCONJ
sc-589	53	12	categorize	categorize	VERB
sc-589	53	13	the	the	DET
sc-589	53	14	existence	existence	NOUN
sc-589	53	15	of	of	ADP
sc-589	53	16	diabetes	diabetes	NOUN
sc-589	53	17	illnesses	illness	NOUN
sc-589	53	18	by	by	ADP
sc-589	53	19	using	use	VERB
sc-589	53	20	data	datum	NOUN
sc-589	53	21	mining	mining	NOUN
sc-589	53	22	approaches	approach	NOUN
sc-589	53	23	.	.	PUNCT
sc-589	54	1	there	there	PRON
sc-589	54	2	were	be	VERB
sc-589	54	3	520	520	NUM
sc-589	54	4	instances	instance	NOUN
sc-589	54	5	in	in	ADP
sc-589	54	6	the	the	DET
sc-589	54	7	dataset	dataset	NOUN
sc-589	54	8	,	,	PUNCT
sc-589	54	9	each	each	PRON
sc-589	54	10	with	with	ADP
sc-589	54	11	17	17	NUM
sc-589	54	12	characteristics	characteristic	NOUN
sc-589	54	13	.	.	PUNCT
sc-589	55	1	the	the	DET
sc-589	55	2	dataset	dataset	NOUN
sc-589	55	3	was	be	AUX
sc-589	55	4	used	use	VERB
sc-589	55	5	to	to	PART
sc-589	55	6	test	test	VERB
sc-589	55	7	seven	seven	NUM
sc-589	55	8	different	different	ADJ
sc-589	55	9	classification	classification	NOUN
sc-589	55	10	algorithms	algorithm	NOUN
sc-589	55	11	,	,	PUNCT
sc-589	55	12	including	include	VERB
sc-589	55	13	bayes	bayes	PROPN
sc-589	55	14	network	network	NOUN
sc-589	55	15	,	,	PUNCT
sc-589	55	16	nave	nave	NOUN
sc-589	55	17	bayes	bayes	PROPN
sc-589	55	18	,	,	PUNCT
sc-589	55	19	j48	j48	PROPN
sc-589	55	20	,	,	PUNCT
sc-589	55	21	random	random	ADJ
sc-589	55	22	tree	tree	NOUN
sc-589	55	23	,	,	PUNCT
sc-589	55	24	random	random	ADJ
sc-589	55	25	forest	forest	NOUN
sc-589	55	26	,	,	PUNCT
sc-589	55	27	k	k	PROPN
sc-589	55	28	-	-	PUNCT
sc-589	55	29	nn	nn	NOUN
sc-589	55	30	,	,	PUNCT
sc-589	55	31	and	and	CCONJ
sc-589	55	32	svm	svm	PROPN
sc-589	55	33	.	.	PROPN
sc-589	56	1	according	accord	VERB
sc-589	56	2	to	to	ADP
sc-589	56	3	the	the	DET
sc-589	56	4	obtained	obtain	VERB
sc-589	56	5	results	result	NOUN
sc-589	56	6	,	,	PUNCT
sc-589	56	7	k	k	PROPN
sc-589	56	8	-	-	PUNCT
sc-589	56	9	nn	nn	PROPN
sc-589	56	10	had	have	VERB
sc-589	56	11	the	the	DET
sc-589	56	12	maximum	maximum	ADJ
sc-589	56	13	accuracy	accuracy	NOUN
sc-589	56	14	of	of	ADP
sc-589	56	15	98.07	98.07	NUM
sc-589	56	16	%	%	NOUN
sc-589	56	17	,	,	PUNCT
sc-589	56	18	making	make	VERB
sc-589	56	19	it	it	PRON
sc-589	56	20	the	the	DET
sc-589	56	21	best	good	ADJ
sc-589	56	22	approach	approach	NOUN
sc-589	56	23	for	for	ADP
sc-589	56	24	identifying	identify	VERB
sc-589	56	25	and	and	CCONJ
sc-589	56	26	classifying	classify	VERB
sc-589	56	27	diabetic	diabetic	ADJ
sc-589	56	28	illnesses	illness	NOUN
sc-589	56	29	on	on	ADP
sc-589	56	30	the	the	DET
sc-589	56	31	examined	examine	VERB
sc-589	56	32	2	2	NUM
sc-589	56	33	eai	eai	NOUN
sc-589	56	34	endorsed	endorse	VERB
sc-589	56	35	transactions	transaction	NOUN
sc-589	56	36	on	on	ADP
sc-589	56	37	smart	smart	ADJ
sc-589	56	38	cities	city	NOUN
sc-589	56	39	03	03	NUM
sc-589	56	40	2022	2022	NUM
sc-589	56	41	09	09	NUM
sc-589	56	42	2022	2022	NUM
sc-589	56	43	|	|	ADV
sc-589	56	44	volume	volume	NOUN
sc-589	56	45	6	6	NUM
sc-589	56	46	|	|	NOUN
sc-589	56	47	issue	issue	NOUN
sc-589	56	48	18	18	NUM
sc-589	56	49	|	|	ADV
sc-589	56	50	e1	e1	NOUN
sc-589	56	51	predicting	predict	VERB
sc-589	56	52	diabetes	diabetes	NOUN
sc-589	56	53	disease	disease	NOUN
sc-589	56	54	for	for	ADP
sc-589	56	55	healthy	healthy	ADJ
sc-589	56	56	smart	smart	ADJ
sc-589	56	57	cities	city	NOUN
sc-589	56	58	dataset	dataset	VERB
sc-589	56	59	.	.	PUNCT
sc-589	57	1	this	this	DET
sc-589	57	2	work	work	NOUN
sc-589	57	3	also	also	ADV
sc-589	57	4	discussed	discuss	VERB
sc-589	57	5	methods	method	NOUN
sc-589	57	6	to	to	PART
sc-589	57	7	clean	clean	VERB
sc-589	57	8	and	and	CCONJ
sc-589	57	9	supplement	supplement	NOUN
sc-589	57	10	data	datum	NOUN
sc-589	57	11	,	,	PUNCT
sc-589	57	12	both	both	CCONJ
sc-589	57	13	in	in	ADP
sc-589	57	14	terms	term	NOUN
sc-589	57	15	of	of	ADP
sc-589	57	16	amount	amount	NOUN
sc-589	57	17	and	and	CCONJ
sc-589	57	18	quality	quality	NOUN
sc-589	57	19	.	.	PUNCT
sc-589	58	1	for	for	ADP
sc-589	58	2	predicting	predict	VERB
sc-589	58	3	type	type	NOUN
sc-589	58	4	2	2	NUM
sc-589	58	5	diabetes	diabetes	NOUN
sc-589	58	6	mellitus	mellitus	NOUN
sc-589	58	7	(	(	PUNCT
sc-589	58	8	t2	t2	NOUN
sc-589	58	9	dm	dm	PROPN
sc-589	58	10	)	)	PUNCT
sc-589	58	11	,	,	PUNCT
sc-589	58	12	the	the	DET
sc-589	58	13	study	study	NOUN
sc-589	58	14	in	in	ADP
sc-589	58	15	[	[	X
sc-589	58	16	20	20	NUM
sc-589	58	17	]	]	PUNCT
sc-589	58	18	developed	develop	VERB
sc-589	58	19	a	a	DET
sc-589	58	20	hybrid	hybrid	ADJ
sc-589	58	21	prediction	prediction	NOUN
sc-589	58	22	model	model	NOUN
sc-589	58	23	consisting	consist	VERB
sc-589	58	24	of	of	ADP
sc-589	58	25	two	two	NUM
sc-589	58	26	separate	separate	ADJ
sc-589	58	27	algorithms	algorithm	NOUN
sc-589	58	28	:	:	PUNCT
sc-589	58	29	the	the	DET
sc-589	58	30	modified	modify	VERB
sc-589	58	31	kmeans	kmeans	PROPN
sc-589	58	32	algorithm	algorithm	NOUN
sc-589	58	33	and	and	CCONJ
sc-589	58	34	the	the	DET
sc-589	58	35	logistic	logistic	ADJ
sc-589	58	36	regression	regression	NOUN
sc-589	58	37	algorithm	algorithm	NOUN
sc-589	58	38	,	,	PUNCT
sc-589	58	39	both	both	PRON
sc-589	58	40	of	of	ADP
sc-589	58	41	which	which	PRON
sc-589	58	42	were	be	AUX
sc-589	58	43	based	base	VERB
sc-589	58	44	on	on	ADP
sc-589	58	45	data	datum	NOUN
sc-589	58	46	mining	mining	NOUN
sc-589	58	47	techniques	technique	NOUN
sc-589	58	48	.	.	PUNCT
sc-589	59	1	the	the	DET
sc-589	59	2	key	key	ADJ
sc-589	59	3	issues	issue	NOUN
sc-589	59	4	that	that	PRON
sc-589	59	5	needed	need	VERB
sc-589	59	6	to	to	PART
sc-589	59	7	be	be	AUX
sc-589	59	8	addressed	address	VERB
sc-589	59	9	were	be	AUX
sc-589	59	10	improving	improve	VERB
sc-589	59	11	the	the	DET
sc-589	59	12	prediction	prediction	NOUN
sc-589	59	13	model	model	NOUN
sc-589	59	14	’s	’s	PART
sc-589	59	15	accuracy	accuracy	NOUN
sc-589	59	16	and	and	CCONJ
sc-589	59	17	making	make	VERB
sc-589	59	18	the	the	DET
sc-589	59	19	model	model	NOUN
sc-589	59	20	adaptable	adaptable	ADJ
sc-589	59	21	to	to	ADP
sc-589	59	22	other	other	ADJ
sc-589	59	23	datasets	dataset	NOUN
sc-589	59	24	.	.	PUNCT
sc-589	60	1	previous	previous	ADJ
sc-589	60	2	research	research	NOUN
sc-589	60	3	have	have	AUX
sc-589	60	4	produced	produce	VERB
sc-589	60	5	models	model	NOUN
sc-589	60	6	based	base	VERB
sc-589	60	7	on	on	ADP
sc-589	60	8	the	the	DET
sc-589	60	9	same	same	ADJ
sc-589	60	10	assumption	assumption	NOUN
sc-589	60	11	as	as	ADP
sc-589	60	12	the	the	DET
sc-589	60	13	one	one	NOUN
sc-589	60	14	used	use	VERB
sc-589	60	15	in	in	ADP
sc-589	60	16	this	this	DET
sc-589	60	17	work	work	NOUN
sc-589	60	18	,	,	PUNCT
sc-589	60	19	therefore	therefore	ADV
sc-589	60	20	the	the	DET
sc-589	60	21	purpose	purpose	NOUN
sc-589	60	22	was	be	AUX
sc-589	60	23	to	to	PART
sc-589	60	24	compare	compare	VERB
sc-589	60	25	the	the	DET
sc-589	60	26	results	result	NOUN
sc-589	60	27	of	of	ADP
sc-589	60	28	this	this	DET
sc-589	60	29	study	study	NOUN
sc-589	60	30	to	to	ADP
sc-589	60	31	those	those	PRON
sc-589	60	32	of	of	ADP
sc-589	60	33	the	the	DET
sc-589	60	34	other	other	ADJ
sc-589	60	35	studies	study	NOUN
sc-589	60	36	.	.	PUNCT
sc-589	61	1	the	the	DET
sc-589	61	2	dataset	dataset	NOUN
sc-589	61	3	utilized	utilize	VERB
sc-589	61	4	in	in	ADP
sc-589	61	5	this	this	DET
sc-589	61	6	investigation	investigation	NOUN
sc-589	61	7	was	be	AUX
sc-589	61	8	the	the	DET
sc-589	61	9	same	same	ADJ
sc-589	61	10	as	as	ADP
sc-589	61	11	that	that	PRON
sc-589	61	12	used	use	VERB
sc-589	61	13	in	in	ADP
sc-589	61	14	the	the	DET
sc-589	61	15	previous	previous	ADJ
sc-589	61	16	one	one	NOUN
sc-589	61	17	(	(	PUNCT
sc-589	61	18	the	the	DET
sc-589	61	19	pima	pima	PROPN
sc-589	61	20	indians	indians	PROPN
sc-589	61	21	diabetes	diabete	VERB
sc-589	61	22	dataset	dataset	NOUN
sc-589	61	23	)	)	PUNCT
sc-589	61	24	.	.	PUNCT
sc-589	62	1	when	when	SCONJ
sc-589	62	2	the	the	DET
sc-589	62	3	acquired	acquire	VERB
sc-589	62	4	findings	finding	NOUN
sc-589	62	5	were	be	AUX
sc-589	62	6	compared	compare	VERB
sc-589	62	7	to	to	ADP
sc-589	62	8	the	the	DET
sc-589	62	9	results	result	NOUN
sc-589	62	10	of	of	ADP
sc-589	62	11	the	the	DET
sc-589	62	12	previously	previously	ADV
sc-589	62	13	stated	state	VERB
sc-589	62	14	research	research	NOUN
sc-589	62	15	,	,	PUNCT
sc-589	62	16	it	it	PRON
sc-589	62	17	was	be	AUX
sc-589	62	18	discovered	discover	VERB
sc-589	62	19	that	that	SCONJ
sc-589	62	20	the	the	DET
sc-589	62	21	model	model	NOUN
sc-589	62	22	had	have	VERB
sc-589	62	23	a	a	DET
sc-589	62	24	3.04	3.04	NUM
sc-589	62	25	%	%	NOUN
sc-589	62	26	greater	great	ADJ
sc-589	62	27	prediction	prediction	NOUN
sc-589	62	28	accuracy	accuracy	NOUN
sc-589	62	29	(	(	PUNCT
sc-589	62	30	approximately	approximately	ADV
sc-589	62	31	94	94	NUM
sc-589	62	32	%	%	NOUN
sc-589	62	33	)	)	PUNCT
sc-589	62	34	than	than	ADP
sc-589	62	35	the	the	DET
sc-589	62	36	ones	one	NOUN
sc-589	62	37	used	use	VERB
sc-589	62	38	for	for	ADP
sc-589	62	39	comparison	comparison	NOUN
sc-589	62	40	.	.	PUNCT
sc-589	63	1	furthermore	furthermore	ADV
sc-589	63	2	,	,	PUNCT
sc-589	63	3	the	the	DET
sc-589	63	4	model	model	NOUN
sc-589	63	5	guaranteed	guarantee	VERB
sc-589	63	6	that	that	SCONJ
sc-589	63	7	the	the	DET
sc-589	63	8	dataset	dataset	NOUN
sc-589	63	9	is	be	AUX
sc-589	63	10	of	of	ADP
sc-589	63	11	appropriate	appropriate	ADJ
sc-589	63	12	quality	quality	NOUN
sc-589	63	13	.	.	PUNCT
sc-589	64	1	as	as	ADP
sc-589	64	2	a	a	DET
sc-589	64	3	result	result	NOUN
sc-589	64	4	,	,	PUNCT
sc-589	64	5	the	the	DET
sc-589	64	6	model	model	NOUN
sc-589	64	7	has	have	AUX
sc-589	64	8	been	be	AUX
sc-589	64	9	demonstrated	demonstrate	VERB
sc-589	64	10	to	to	PART
sc-589	64	11	be	be	AUX
sc-589	64	12	beneficial	beneficial	ADJ
sc-589	64	13	in	in	ADP
sc-589	64	14	the	the	DET
sc-589	64	15	actual	actual	ADJ
sc-589	64	16	management	management	NOUN
sc-589	64	17	of	of	ADP
sc-589	64	18	diabetic	diabetic	ADJ
sc-589	64	19	health	health	NOUN
sc-589	64	20	.	.	PUNCT
sc-589	65	1	3	3	X
sc-589	65	2	.	.	X
sc-589	65	3	methodology	methodology	NOUN
sc-589	65	4	the	the	DET
sc-589	65	5	data	datum	NOUN
sc-589	65	6	used	use	VERB
sc-589	65	7	in	in	ADP
sc-589	65	8	this	this	DET
sc-589	65	9	work	work	NOUN
sc-589	65	10	was	be	AUX
sc-589	65	11	originally	originally	ADV
sc-589	65	12	provided	provide	VERB
sc-589	65	13	by	by	ADP
sc-589	65	14	the	the	DET
sc-589	65	15	national	national	PROPN
sc-589	65	16	institute	institute	PROPN
sc-589	65	17	of	of	ADP
sc-589	65	18	diabetes	diabetes	NOUN
sc-589	65	19	and	and	CCONJ
sc-589	65	20	digestive	digestive	ADJ
sc-589	65	21	and	and	CCONJ
sc-589	65	22	kidney	kidney	NOUN
sc-589	65	23	diseases	disease	NOUN
sc-589	65	24	,	,	PUNCT
sc-589	65	25	and	and	CCONJ
sc-589	65	26	has	have	VERB
sc-589	65	27	the	the	DET
sc-589	65	28	purpose	purpose	NOUN
sc-589	65	29	of	of	ADP
sc-589	65	30	diagnostically	diagnostically	ADV
sc-589	65	31	predict	predict	VERB
sc-589	65	32	whether	whether	SCONJ
sc-589	65	33	or	or	CCONJ
sc-589	65	34	not	not	PART
sc-589	65	35	a	a	DET
sc-589	65	36	patient	patient	NOUN
sc-589	65	37	has	have	VERB
sc-589	65	38	diabetes	diabetes	NOUN
sc-589	65	39	,	,	PUNCT
sc-589	65	40	based	base	VERB
sc-589	65	41	on	on	ADP
sc-589	65	42	some	some	DET
sc-589	65	43	diagnostic	diagnostic	ADJ
sc-589	65	44	measurements	measurement	NOUN
sc-589	65	45	and	and	CCONJ
sc-589	65	46	medical	medical	ADJ
sc-589	65	47	indicators	indicator	NOUN
sc-589	65	48	.	.	PUNCT
sc-589	66	1	the	the	DET
sc-589	66	2	dataset	dataset	NOUN
sc-589	66	3	is	be	AUX
sc-589	66	4	available	available	ADJ
sc-589	66	5	at	at	ADP
sc-589	66	6	kaggle3	kaggle3	PROPN
sc-589	66	7	.	.	PUNCT
sc-589	67	1	in	in	ADP
sc-589	67	2	respect	respect	NOUN
sc-589	67	3	to	to	ADP
sc-589	67	4	data	data	NOUN
sc-589	67	5	mining	mining	NOUN
sc-589	67	6	,	,	PUNCT
sc-589	67	7	this	this	DET
sc-589	67	8	project	project	NOUN
sc-589	67	9	will	will	AUX
sc-589	67	10	use	use	VERB
sc-589	67	11	the	the	DET
sc-589	67	12	cross	cross	NOUN
sc-589	67	13	industry	industry	NOUN
sc-589	67	14	standard	standard	ADJ
sc-589	67	15	process	process	NOUN
sc-589	67	16	for	for	ADP
sc-589	67	17	data	data	NOUN
sc-589	67	18	mining	mining	NOUN
sc-589	67	19	(	(	PUNCT
sc-589	67	20	crisp	crisp	ADJ
sc-589	67	21	-	-	PUNCT
sc-589	67	22	dm	dm	NOUN
sc-589	67	23	)	)	PUNCT
sc-589	67	24	methodology	methodology	NOUN
sc-589	67	25	,	,	PUNCT
sc-589	67	26	which	which	PRON
sc-589	67	27	is	be	AUX
sc-589	67	28	a	a	DET
sc-589	67	29	six	six	NUM
sc-589	67	30	-	-	PUNCT
sc-589	67	31	phase	phase	NOUN
sc-589	67	32	hierarchical	hierarchical	ADJ
sc-589	67	33	and	and	CCONJ
sc-589	67	34	iterative	iterative	NOUN
sc-589	67	35	process	process	NOUN
sc-589	67	36	model	model	NOUN
sc-589	67	37	that	that	PRON
sc-589	67	38	accurately	accurately	ADV
sc-589	67	39	covers	cover	VERB
sc-589	67	40	the	the	DET
sc-589	67	41	data	datum	NOUN
sc-589	67	42	science	science	NOUN
sc-589	67	43	life	life	NOUN
sc-589	67	44	cycle	cycle	NOUN
sc-589	67	45	.	.	PUNCT
sc-589	68	1	business	business	NOUN
sc-589	68	2	understanding	understanding	NOUN
sc-589	68	3	,	,	PUNCT
sc-589	68	4	data	datum	NOUN
sc-589	68	5	understanding	understanding	NOUN
sc-589	68	6	,	,	PUNCT
sc-589	68	7	data	datum	NOUN
sc-589	68	8	preparation	preparation	NOUN
sc-589	68	9	,	,	PUNCT
sc-589	68	10	modeling	modeling	NOUN
sc-589	68	11	,	,	PUNCT
sc-589	68	12	evaluation	evaluation	NOUN
sc-589	68	13	,	,	PUNCT
sc-589	68	14	and	and	CCONJ
sc-589	68	15	deployment	deployment	NOUN
sc-589	68	16	are	be	AUX
sc-589	68	17	the	the	DET
sc-589	68	18	six	six	NUM
sc-589	68	19	phases	phase	NOUN
sc-589	68	20	[	[	X
sc-589	68	21	21	21	NUM
sc-589	68	22	,	,	PUNCT
sc-589	68	23	22	22	NUM
sc-589	68	24	]	]	PUNCT
sc-589	68	25	.	.	PUNCT
sc-589	69	1	this	this	DET
sc-589	69	2	methodology	methodology	NOUN
sc-589	69	3	was	be	AUX
sc-589	69	4	chosen	choose	VERB
sc-589	69	5	because	because	SCONJ
sc-589	69	6	of	of	ADP
sc-589	69	7	its	its	PRON
sc-589	69	8	numerous	numerous	ADJ
sc-589	69	9	benefits	benefit	NOUN
sc-589	69	10	,	,	PUNCT
sc-589	69	11	including	include	VERB
sc-589	69	12	standardization	standardization	NOUN
sc-589	69	13	of	of	ADP
sc-589	69	14	applied	apply	VERB
sc-589	69	15	processes	process	NOUN
sc-589	69	16	,	,	PUNCT
sc-589	69	17	which	which	PRON
sc-589	69	18	makes	make	VERB
sc-589	69	19	the	the	DET
sc-589	69	20	entire	entire	ADJ
sc-589	69	21	approach	approach	NOUN
sc-589	69	22	easily	easily	ADV
sc-589	69	23	replicable	replicable	ADJ
sc-589	69	24	,	,	PUNCT
sc-589	69	25	clear	clear	ADJ
sc-589	69	26	evaluation	evaluation	NOUN
sc-589	69	27	metrics	metric	NOUN
sc-589	69	28	and	and	CCONJ
sc-589	69	29	methods	method	NOUN
sc-589	69	30	,	,	PUNCT
sc-589	69	31	a	a	DET
sc-589	69	32	clear	clear	ADJ
sc-589	69	33	structure	structure	NOUN
sc-589	69	34	of	of	ADP
sc-589	69	35	what	what	PRON
sc-589	69	36	to	to	PART
sc-589	69	37	study	study	VERB
sc-589	69	38	and	and	CCONJ
sc-589	69	39	analyze	analyze	VERB
sc-589	69	40	,	,	PUNCT
sc-589	69	41	which	which	PRON
sc-589	69	42	increases	increase	VERB
sc-589	69	43	the	the	DET
sc-589	69	44	chances	chance	NOUN
sc-589	69	45	of	of	ADP
sc-589	69	46	success	success	NOUN
sc-589	69	47	,	,	PUNCT
sc-589	69	48	and	and	CCONJ
sc-589	69	49	finally	finally	ADV
sc-589	69	50	,	,	PUNCT
sc-589	69	51	the	the	DET
sc-589	69	52	ability	ability	NOUN
sc-589	69	53	to	to	PART
sc-589	69	54	apply	apply	VERB
sc-589	69	55	data	datum	NOUN
sc-589	69	56	mining	mining	NOUN
sc-589	69	57	models	model	NOUN
sc-589	69	58	in	in	ADP
sc-589	69	59	real	real	ADJ
sc-589	69	60	-	-	PUNCT
sc-589	69	61	world	world	NOUN
sc-589	69	62	scenarios	scenario	NOUN
sc-589	69	63	[	[	X
sc-589	69	64	23	23	NUM
sc-589	69	65	]	]	PUNCT
sc-589	69	66	.	.	PUNCT
sc-589	70	1	3.1	3.1	NUM
sc-589	70	2	.	.	PUNCT
sc-589	70	3	business	business	NOUN
sc-589	70	4	understanding	understand	VERB
sc-589	70	5	the	the	DET
sc-589	70	6	purpose	purpose	NOUN
sc-589	70	7	of	of	ADP
sc-589	70	8	this	this	DET
sc-589	70	9	study	study	NOUN
sc-589	70	10	,	,	PUNCT
sc-589	70	11	as	as	SCONJ
sc-589	70	12	stated	state	VERB
sc-589	70	13	earlier	early	ADV
sc-589	70	14	,	,	PUNCT
sc-589	70	15	is	be	AUX
sc-589	70	16	to	to	PART
sc-589	70	17	diagnostically	diagnostically	ADV
sc-589	70	18	predict	predict	VERB
sc-589	70	19	whether	whether	SCONJ
sc-589	70	20	or	or	CCONJ
sc-589	70	21	not	not	PART
sc-589	70	22	a	a	DET
sc-589	70	23	patient	patient	NOUN
sc-589	70	24	has	have	VERB
sc-589	70	25	diabetes	diabetes	NOUN
sc-589	70	26	,	,	PUNCT
sc-589	70	27	considering	consider	VERB
sc-589	70	28	characteristics	characteristic	NOUN
sc-589	70	29	such	such	ADJ
sc-589	70	30	as	as	ADP
sc-589	70	31	insulin	insulin	NOUN
sc-589	70	32	3https://www.kaggle.com/uciml/pima-indians-diabetes-database	3https://www.kaggle.com/uciml/pima-indians-diabetes-database	NUM
sc-589	70	33	level	level	NOUN
sc-589	70	34	,	,	PUNCT
sc-589	70	35	plasma	plasma	NOUN
sc-589	70	36	glucose	glucose	NOUN
sc-589	70	37	concentration	concentration	NOUN
sc-589	70	38	,	,	PUNCT
sc-589	70	39	blood	blood	NOUN
sc-589	70	40	pressure	pressure	NOUN
sc-589	70	41	,	,	PUNCT
sc-589	70	42	skin	skin	NOUN
sc-589	70	43	thickness	thickness	NOUN
sc-589	70	44	,	,	PUNCT
sc-589	70	45	among	among	ADP
sc-589	70	46	others	other	NOUN
sc-589	70	47	.	.	PUNCT
sc-589	71	1	it	it	PRON
sc-589	71	2	is	be	AUX
sc-589	71	3	also	also	ADV
sc-589	71	4	relevant	relevant	ADJ
sc-589	71	5	to	to	PART
sc-589	71	6	point	point	VERB
sc-589	71	7	out	out	ADP
sc-589	71	8	that	that	SCONJ
sc-589	71	9	this	this	DET
sc-589	71	10	study	study	NOUN
sc-589	71	11	is	be	AUX
sc-589	71	12	focused	focus	VERB
sc-589	71	13	on	on	ADP
sc-589	71	14	a	a	DET
sc-589	71	15	very	very	ADV
sc-589	71	16	specific	specific	ADJ
sc-589	71	17	population	population	NOUN
sc-589	71	18	:	:	PUNCT
sc-589	71	19	all	all	DET
sc-589	71	20	patients	patient	NOUN
sc-589	71	21	are	be	AUX
sc-589	71	22	females	female	NOUN
sc-589	71	23	,	,	PUNCT
sc-589	71	24	at	at	ADP
sc-589	71	25	least	least	ADV
sc-589	71	26	21	21	NUM
sc-589	71	27	years	year	NOUN
sc-589	71	28	old	old	ADJ
sc-589	71	29	,	,	PUNCT
sc-589	71	30	of	of	ADP
sc-589	71	31	pima	pima	PROPN
sc-589	71	32	indian	indian	PROPN
sc-589	71	33	heritage	heritage	NOUN
sc-589	71	34	.	.	PUNCT
sc-589	72	1	3.2	3.2	NUM
sc-589	72	2	.	.	PUNCT
sc-589	73	1	data	datum	NOUN
sc-589	73	2	understanding	understanding	NOUN
sc-589	73	3	as	as	SCONJ
sc-589	73	4	previously	previously	ADV
sc-589	73	5	indicated	indicate	VERB
sc-589	73	6	,	,	PUNCT
sc-589	73	7	the	the	DET
sc-589	73	8	dataset	dataset	NOUN
sc-589	73	9	used	use	VERB
sc-589	73	10	in	in	ADP
sc-589	73	11	this	this	DET
sc-589	73	12	study	study	NOUN
sc-589	73	13	contains	contain	VERB
sc-589	73	14	data	datum	NOUN
sc-589	73	15	on	on	ADP
sc-589	73	16	pima	pima	PROPN
sc-589	73	17	indian	indian	PROPN
sc-589	73	18	women	woman	NOUN
sc-589	73	19	aged	age	VERB
sc-589	73	20	21	21	NUM
sc-589	73	21	and	and	CCONJ
sc-589	73	22	above	above	ADV
sc-589	73	23	.	.	PUNCT
sc-589	74	1	it	it	PRON
sc-589	74	2	has	have	VERB
sc-589	74	3	768	768	NUM
sc-589	74	4	instances	instance	NOUN
sc-589	74	5	,	,	PUNCT
sc-589	74	6	each	each	PRON
sc-589	74	7	with	with	ADP
sc-589	74	8	eight	eight	NUM
sc-589	74	9	characteristics	characteristic	NOUN
sc-589	74	10	and	and	CCONJ
sc-589	74	11	one	one	NUM
sc-589	74	12	extra	extra	ADJ
sc-589	74	13	column	column	NOUN
sc-589	74	14	containing	contain	VERB
sc-589	74	15	the	the	DET
sc-589	74	16	respective	respective	ADJ
sc-589	74	17	class	class	NOUN
sc-589	74	18	.	.	PUNCT
sc-589	75	1	•	•	NUM
sc-589	75	2	pregnancies	pregnancy	NOUN
sc-589	75	3	:	:	PUNCT
sc-589	75	4	number	number	NOUN
sc-589	75	5	of	of	ADP
sc-589	75	6	times	time	NOUN
sc-589	75	7	pregnant	pregnant	ADJ
sc-589	75	8	;	;	PUNCT
sc-589	75	9	•	•	NUM
sc-589	75	10	glucose	glucose	NOUN
sc-589	75	11	:	:	PUNCT
sc-589	75	12	plasma	plasma	NOUN
sc-589	75	13	glucose	glucose	NOUN
sc-589	75	14	concentration	concentration	NOUN
sc-589	75	15	a	a	DET
sc-589	75	16	2	2	NUM
sc-589	75	17	hours	hour	NOUN
sc-589	75	18	in	in	ADP
sc-589	75	19	an	an	DET
sc-589	75	20	oral	oral	ADJ
sc-589	75	21	glucose	glucose	NOUN
sc-589	75	22	tolerance	tolerance	NOUN
sc-589	75	23	test	test	NOUN
sc-589	75	24	;	;	PUNCT
sc-589	75	25	•	•	NUM
sc-589	75	26	blood	blood	NOUN
sc-589	75	27	pressure	pressure	NOUN
sc-589	75	28	:	:	PUNCT
sc-589	75	29	diastolic	diastolic	ADJ
sc-589	75	30	blood	blood	NOUN
sc-589	75	31	pressure	pressure	NOUN
sc-589	75	32	(	(	PUNCT
sc-589	75	33	mm	mm	NOUN
sc-589	75	34	/	/	SYM
sc-589	75	35	hg	hg	NOUN
sc-589	75	36	)	)	PUNCT
sc-589	75	37	;	;	PUNCT
sc-589	75	38	•	•	NUM
sc-589	75	39	skin	skin	NOUN
sc-589	75	40	thickness	thickness	NOUN
sc-589	75	41	:	:	PUNCT
sc-589	75	42	triceps	triceps	ADJ
sc-589	75	43	skin	skin	NOUN
sc-589	75	44	fold	fold	NOUN
sc-589	75	45	thickness	thickness	NOUN
sc-589	75	46	(	(	PUNCT
sc-589	75	47	mm	mm	NOUN
sc-589	75	48	)	)	PUNCT
sc-589	75	49	;	;	PUNCT
sc-589	75	50	•	•	X
sc-589	75	51	insulin	insulin	NOUN
sc-589	75	52	:	:	PUNCT
sc-589	75	53	2	2	NUM
sc-589	75	54	-	-	PUNCT
sc-589	75	55	hour	hour	NOUN
sc-589	75	56	serum	serum	NOUN
sc-589	75	57	insulin	insulin	NOUN
sc-589	75	58	(	(	PUNCT
sc-589	75	59	mu	mu	NOUN
sc-589	75	60	u	u	PROPN
sc-589	75	61	/	/	SYM
sc-589	75	62	ml	ml	PROPN
sc-589	75	63	)	)	PUNCT
sc-589	75	64	;	;	PUNCT
sc-589	75	65	•	•	NUM
sc-589	75	66	bmi	bmi	NOUN
sc-589	75	67	:	:	PUNCT
sc-589	75	68	body	body	NOUN
sc-589	75	69	mass	mass	NOUN
sc-589	75	70	index	index	NOUN
sc-589	75	71	(	(	PUNCT
sc-589	75	72	weight_in_kg/(height_in_m)2	weight_in_kg/(height_in_m)2	PROPN
sc-589	75	73	)	)	PUNCT
sc-589	75	74	;	;	PUNCT
sc-589	75	75	•	•	X
sc-589	75	76	dpf	dpf	NOUN
sc-589	75	77	:	:	PUNCT
sc-589	75	78	diabetes	diabete	VERB
sc-589	75	79	pedigree	pedigree	ADJ
sc-589	75	80	function	function	NOUN
sc-589	75	81	;	;	PUNCT
sc-589	75	82	•	•	X
sc-589	75	83	age	age	NOUN
sc-589	75	84	:	:	PUNCT
sc-589	75	85	age	age	NOUN
sc-589	75	86	(	(	PUNCT
sc-589	75	87	in	in	ADP
sc-589	75	88	years	year	NOUN
sc-589	75	89	)	)	PUNCT
sc-589	75	90	;	;	PUNCT
sc-589	75	91	•	•	NUM
sc-589	75	92	outcome	outcome	NOUN
sc-589	75	93	:	:	PUNCT
sc-589	75	94	class	class	NOUN
sc-589	75	95	variable	variable	NOUN
sc-589	75	96	that	that	PRON
sc-589	75	97	specifies	specifie	NOUN
sc-589	75	98	if	if	SCONJ
sc-589	75	99	tested	test	VERB
sc-589	75	100	positive	positive	ADJ
sc-589	75	101	for	for	ADP
sc-589	75	102	diabetes	diabetes	NOUN
sc-589	75	103	(	(	PUNCT
sc-589	75	104	0	0	NUM
sc-589	75	105	or	or	CCONJ
sc-589	75	106	1	1	NUM
sc-589	75	107	):	):	PUNCT
sc-589	75	108	0	0	NUM
sc-589	76	1	if	if	SCONJ
sc-589	76	2	yes	yes	ADV
sc-589	76	3	,	,	PUNCT
sc-589	76	4	1	1	NUM
sc-589	76	5	if	if	SCONJ
sc-589	76	6	no	no	INTJ
sc-589	76	7	.	.	PUNCT
sc-589	77	1	to	to	PART
sc-589	77	2	better	well	ADV
sc-589	77	3	understand	understand	VERB
sc-589	77	4	each	each	DET
sc-589	77	5	attribute	attribute	NOUN
sc-589	77	6	,	,	PUNCT
sc-589	77	7	it	it	PRON
sc-589	77	8	was	be	AUX
sc-589	77	9	created	create	VERB
sc-589	77	10	the	the	DET
sc-589	77	11	table	table	NOUN
sc-589	77	12	1	1	NUM
sc-589	77	13	.	.	PUNCT
sc-589	78	1	it	it	PRON
sc-589	78	2	displays	display	VERB
sc-589	78	3	the	the	DET
sc-589	78	4	amount	amount	NOUN
sc-589	78	5	of	of	ADP
sc-589	78	6	missing	miss	VERB
sc-589	78	7	values	value	NOUN
sc-589	78	8	,	,	PUNCT
sc-589	78	9	as	as	ADV
sc-589	78	10	well	well	ADV
sc-589	78	11	as	as	ADP
sc-589	78	12	the	the	DET
sc-589	78	13	lowest	low	ADJ
sc-589	78	14	and	and	CCONJ
sc-589	78	15	maximum	maximum	ADJ
sc-589	78	16	values	value	NOUN
sc-589	78	17	,	,	PUNCT
sc-589	78	18	and	and	CCONJ
sc-589	78	19	the	the	DET
sc-589	78	20	average	average	ADJ
sc-589	78	21	and	and	CCONJ
sc-589	78	22	standard	standard	ADJ
sc-589	78	23	deviation	deviation	NOUN
sc-589	78	24	for	for	ADP
sc-589	78	25	each	each	DET
sc-589	78	26	property	property	NOUN
sc-589	78	27	.	.	PUNCT
sc-589	79	1	the	the	DET
sc-589	79	2	class	class	NOUN
sc-589	79	3	variable	variable	ADJ
sc-589	79	4	outcome	outcome	NOUN
sc-589	79	5	has	have	VERB
sc-589	79	6	two	two	NUM
sc-589	79	7	possible	possible	ADJ
sc-589	79	8	values	value	NOUN
sc-589	79	9	:	:	PUNCT
sc-589	80	1	yes	yes	INTJ
sc-589	80	2	or	or	CCONJ
sc-589	80	3	no	no	INTJ
sc-589	80	4	.	.	PUNCT
sc-589	81	1	figure	figure	NOUN
sc-589	81	2	1	1	NUM
sc-589	81	3	depicts	depict	VERB
sc-589	81	4	the	the	DET
sc-589	81	5	data	data	NOUN
sc-589	81	6	distribution	distribution	NOUN
sc-589	81	7	for	for	ADP
sc-589	81	8	the	the	DET
sc-589	81	9	outcome	outcome	NOUN
sc-589	81	10	class	class	NOUN
sc-589	81	11	,	,	PUNCT
sc-589	81	12	which	which	PRON
sc-589	81	13	contains	contain	VERB
sc-589	81	14	268	268	NUM
sc-589	81	15	occurrences	occurrence	NOUN
sc-589	81	16	of	of	ADP
sc-589	81	17	yes	yes	INTJ
sc-589	81	18	(	(	PUNCT
sc-589	81	19	34.9	34.9	NUM
sc-589	81	20	%	%	NOUN
sc-589	81	21	)	)	PUNCT
sc-589	81	22	and	and	CCONJ
sc-589	81	23	500	500	NUM
sc-589	81	24	instances	instance	NOUN
sc-589	81	25	of	of	ADP
sc-589	81	26	no	no	DET
sc-589	81	27	(	(	PUNCT
sc-589	81	28	65.1	65.1	NUM
sc-589	81	29	%	%	NOUN
sc-589	81	30	)	)	PUNCT
sc-589	81	31	,	,	PUNCT
sc-589	81	32	indicating	indicate	VERB
sc-589	81	33	that	that	SCONJ
sc-589	81	34	almost	almost	ADV
sc-589	81	35	35	35	NUM
sc-589	81	36	%	%	NOUN
sc-589	81	37	of	of	ADP
sc-589	81	38	the	the	DET
sc-589	81	39	patients	patient	NOUN
sc-589	81	40	tested	test	VERB
sc-589	81	41	positive	positive	ADJ
sc-589	81	42	for	for	ADP
sc-589	81	43	diabetes	diabetes	NOUN
sc-589	81	44	while	while	SCONJ
sc-589	81	45	the	the	DET
sc-589	81	46	other	other	ADJ
sc-589	81	47	cases	case	NOUN
sc-589	81	48	did	do	VERB
sc-589	81	49	not	not	PART
sc-589	81	50	.	.	PUNCT
sc-589	82	1	figure	figure	VERB
sc-589	82	2	1	1	NUM
sc-589	82	3	clearly	clearly	ADV
sc-589	82	4	illustrates	illustrate	VERB
sc-589	82	5	that	that	SCONJ
sc-589	82	6	the	the	DET
sc-589	82	7	distribution	distribution	NOUN
sc-589	82	8	of	of	ADP
sc-589	82	9	cases	case	NOUN
sc-589	82	10	throughout	throughout	ADP
sc-589	82	11	the	the	DET
sc-589	82	12	class	class	NOUN
sc-589	82	13	outcome	outcome	NOUN
sc-589	82	14	is	be	AUX
sc-589	82	15	skewed	skew	VERB
sc-589	82	16	,	,	PUNCT
sc-589	82	17	with	with	ADP
sc-589	82	18	a	a	DET
sc-589	82	19	large	large	ADJ
sc-589	82	20	majority	majority	NOUN
sc-589	82	21	of	of	ADP
sc-589	82	22	the	the	DET
sc-589	82	23	occurrences	occurrence	NOUN
sc-589	82	24	classed	class	VERB
sc-589	82	25	as	as	ADP
sc-589	82	26	no	no	PROPN
sc-589	82	27	.	.	PUNCT
sc-589	83	1	the	the	DET
sc-589	83	2	ml	ml	PROPN
sc-589	83	3	models	model	NOUN
sc-589	83	4	will	will	AUX
sc-589	83	5	have	have	VERB
sc-589	83	6	poor	poor	ADJ
sc-589	83	7	prediction	prediction	NOUN
sc-589	83	8	accuracy	accuracy	NOUN
sc-589	83	9	if	if	SCONJ
sc-589	83	10	the	the	DET
sc-589	83	11	data	datum	NOUN
sc-589	83	12	is	be	AUX
sc-589	83	13	uneven	uneven	ADJ
sc-589	83	14	or	or	CCONJ
sc-589	83	15	biased	bias	VERB
sc-589	83	16	,	,	PUNCT
sc-589	83	17	particularly	particularly	ADV
sc-589	83	18	for	for	ADP
sc-589	83	19	the	the	DET
sc-589	83	20	minority	minority	NOUN
sc-589	83	21	class	class	NOUN
sc-589	83	22	.	.	PUNCT
sc-589	84	1	furthermore	furthermore	ADV
sc-589	84	2	,	,	PUNCT
sc-589	84	3	a	a	DET
sc-589	84	4	feature	feature	NOUN
sc-589	84	5	analysis	analysis	NOUN
sc-589	84	6	was	be	AUX
sc-589	84	7	also	also	ADV
sc-589	84	8	conducted	conduct	VERB
sc-589	84	9	in	in	ADP
sc-589	84	10	order	order	NOUN
sc-589	84	11	to	to	PART
sc-589	84	12	understand	understand	VERB
sc-589	84	13	which	which	PRON
sc-589	84	14	features	feature	VERB
sc-589	84	15	have	have	VERB
sc-589	84	16	the	the	DET
sc-589	84	17	greatest	great	ADJ
sc-589	84	18	and	and	CCONJ
sc-589	84	19	least	least	ADJ
sc-589	84	20	weight	weight	NOUN
sc-589	84	21	in	in	ADP
sc-589	84	22	determining	determine	VERB
sc-589	84	23	whether	whether	SCONJ
sc-589	84	24	or	or	CCONJ
sc-589	84	25	not	not	PART
sc-589	84	26	the	the	DET
sc-589	84	27	individual	individual	NOUN
sc-589	84	28	has	have	VERB
sc-589	84	29	diabetes	diabetes	NOUN
sc-589	84	30	,	,	PUNCT
sc-589	84	31	through	through	ADP
sc-589	84	32	a	a	DET
sc-589	84	33	correlation	correlation	NOUN
sc-589	84	34	matrix	matrix	NOUN
sc-589	84	35	between	between	ADP
sc-589	84	36	the	the	DET
sc-589	84	37	different	different	ADJ
sc-589	84	38	attributes	attribute	NOUN
sc-589	84	39	.	.	PUNCT
sc-589	85	1	figure	figure	NOUN
sc-589	85	2	2	2	NUM
sc-589	85	3	presents	present	NOUN
sc-589	85	4	the	the	DET
sc-589	85	5	obtained	obtain	VERB
sc-589	85	6	correlation	correlation	NOUN
sc-589	85	7	matrix	matrix	NOUN
sc-589	85	8	.	.	PUNCT
sc-589	86	1	as	as	SCONJ
sc-589	86	2	it	it	PRON
sc-589	86	3	can	can	AUX
sc-589	86	4	be	be	AUX
sc-589	86	5	seen	see	VERB
sc-589	86	6	,	,	PUNCT
sc-589	86	7	the	the	DET
sc-589	86	8	least	least	ADV
sc-589	86	9	relevant	relevant	ADJ
sc-589	86	10	features	feature	NOUN
sc-589	86	11	are	be	AUX
sc-589	86	12	insulin	insulin	NOUN
sc-589	86	13	and	and	CCONJ
sc-589	86	14	skin	skin	NOUN
sc-589	86	15	thickness	thickness	NOUN
sc-589	86	16	,	,	PUNCT
sc-589	86	17	as	as	SCONJ
sc-589	86	18	they	they	PRON
sc-589	86	19	present	present	VERB
sc-589	86	20	very	very	ADV
sc-589	86	21	low	low	ADJ
sc-589	86	22	3	3	NUM
sc-589	86	23	eai	eai	NOUN
sc-589	86	24	endorsed	endorse	VERB
sc-589	86	25	transactions	transaction	NOUN
sc-589	86	26	on	on	ADP
sc-589	86	27	smart	smart	ADJ
sc-589	86	28	cities	city	NOUN
sc-589	86	29	03	03	NUM
sc-589	86	30	2022	2022	NUM
sc-589	86	31	09	09	NUM
sc-589	86	32	2022	2022	NUM
sc-589	86	33	|	|	ADV
sc-589	86	34	volume	volume	NOUN
sc-589	86	35	6	6	NUM
sc-589	86	36	|	|	NOUN
sc-589	86	37	issue	issue	NOUN
sc-589	86	38	18	18	NUM
sc-589	86	39	|	|	NOUN
sc-589	86	40	e1	e1	NOUN
sc-589	86	41	https://www.kaggle.com/uciml/pima-indians-diabetes-database	https://www.kaggle.com/uciml/pima-indians-diabetes-database	X
sc-589	86	42	hugo	hugo	PROPN
sc-589	86	43	peixoto	peixoto	PROPN
sc-589	86	44	et	et	PROPN
sc-589	86	45	al	al	PROPN
sc-589	86	46	.	.	PROPN
sc-589	86	47	table	table	PROPN
sc-589	86	48	1	1	NUM
sc-589	86	49	.	.	PUNCT
sc-589	86	50	attribute	attribute	NOUN
sc-589	86	51	description	description	NOUN
sc-589	86	52	attribute	attribute	NOUN
sc-589	86	53	missing	miss	VERB
sc-589	86	54	values	value	NOUN
sc-589	87	1	min	min	PROPN
sc-589	87	2	max	max	PROPN
sc-589	87	3	avg	avg	PROPN
sc-589	87	4	std	std	PROPN
sc-589	87	5	.	.	PROPN
sc-589	87	6	dev	dev	PROPN
sc-589	87	7	.	.	PUNCT
sc-589	88	1	pregnancies	pregnancy	NOUN
sc-589	88	2	0	0	NUM
sc-589	88	3	0	0	NUM
sc-589	88	4	17	17	NUM
sc-589	88	5	3.9	3.9	NUM
sc-589	88	6	3.4	3.4	NUM
sc-589	88	7	glucose	glucose	NOUN
sc-589	88	8	5	5	NUM
sc-589	88	9	0	0	NUM
sc-589	88	10	199	199	NUM
sc-589	88	11	121	121	NUM
sc-589	88	12	32.0	32.0	NUM
sc-589	88	13	blood	blood	NOUN
sc-589	88	14	pressure	pressure	NOUN
sc-589	88	15	35	35	NUM
sc-589	88	16	0	0	NUM
sc-589	88	17	122	122	NUM
sc-589	88	18	69.1	69.1	NUM
sc-589	88	19	19.4	19.4	NUM
sc-589	88	20	skin	skin	NOUN
sc-589	88	21	thickness	thickness	NOUN
sc-589	88	22	227	227	NUM
sc-589	88	23	0	0	NUM
sc-589	88	24	99	99	NUM
sc-589	88	25	20.5	20.5	NUM
sc-589	88	26	16.0	16.0	NUM
sc-589	88	27	insulin	insulin	NOUN
sc-589	88	28	374	374	NUM
sc-589	88	29	0	0	NUM
sc-589	88	30	846	846	NUM
sc-589	88	31	79.8	79.8	NUM
sc-589	88	32	115.2	115.2	NUM
sc-589	88	33	bmi	bmi	NOUN
sc-589	88	34	11	11	NUM
sc-589	88	35	0	0	NUM
sc-589	88	36	67.1	67.1	NUM
sc-589	88	37	32.0	32.0	NUM
sc-589	88	38	7.9	7.9	NUM
sc-589	88	39	dpf	dpf	NOUN
sc-589	88	40	0	0	NUM
sc-589	88	41	0.1	0.1	NUM
sc-589	88	42	3.4	3.4	NUM
sc-589	88	43	0.5	0.5	NUM
sc-589	88	44	0.3	0.3	NUM
sc-589	88	45	age	age	NOUN
sc-589	88	46	0	0	NUM
sc-589	88	47	21	21	NUM
sc-589	88	48	81	81	NUM
sc-589	88	49	33.2	33.2	NUM
sc-589	88	50	11.8	11.8	NUM
sc-589	88	51	figure	figure	NOUN
sc-589	88	52	1	1	NUM
sc-589	88	53	.	.	PUNCT
sc-589	89	1	distribution	distribution	NOUN
sc-589	89	2	of	of	ADP
sc-589	89	3	outcome	outcome	NOUN
sc-589	89	4	(	(	PUNCT
sc-589	89	5	class	class	NOUN
sc-589	89	6	)	)	PUNCT
sc-589	89	7	correlation	correlation	NOUN
sc-589	89	8	values	value	NOUN
sc-589	89	9	for	for	ADP
sc-589	89	10	the	the	DET
sc-589	89	11	outcome	outcome	NOUN
sc-589	89	12	class	class	NOUN
sc-589	89	13	compared	compare	VERB
sc-589	89	14	to	to	ADP
sc-589	89	15	the	the	DET
sc-589	89	16	other	other	ADJ
sc-589	89	17	attributes	attribute	NOUN
sc-589	89	18	and	and	CCONJ
sc-589	89	19	,	,	PUNCT
sc-589	89	20	in	in	ADP
sc-589	89	21	absolute	absolute	ADJ
sc-589	89	22	values	value	NOUN
sc-589	89	23	,	,	PUNCT
sc-589	89	24	almost	almost	ADV
sc-589	89	25	null	null	ADJ
sc-589	89	26	since	since	SCONJ
sc-589	89	27	their	their	PRON
sc-589	89	28	correlation	correlation	NOUN
sc-589	89	29	factors	factor	NOUN
sc-589	89	30	are	be	AUX
sc-589	89	31	below	below	ADP
sc-589	89	32	0.1	0.1	NUM
sc-589	89	33	(	(	PUNCT
sc-589	89	34	0.066	0.066	NUM
sc-589	89	35	and	and	CCONJ
sc-589	89	36	0.09	0.09	NUM
sc-589	89	37	,	,	PUNCT
sc-589	89	38	respectively	respectively	ADV
sc-589	89	39	)	)	PUNCT
sc-589	89	40	.	.	PUNCT
sc-589	90	1	on	on	ADP
sc-589	90	2	the	the	DET
sc-589	90	3	other	other	ADJ
sc-589	90	4	hand	hand	NOUN
sc-589	90	5	,	,	PUNCT
sc-589	90	6	it	it	PRON
sc-589	90	7	is	be	AUX
sc-589	90	8	possible	possible	ADJ
sc-589	90	9	to	to	PART
sc-589	90	10	perceive	perceive	VERB
sc-589	90	11	that	that	SCONJ
sc-589	90	12	bmi	bmi	NOUN
sc-589	90	13	and	and	CCONJ
sc-589	90	14	glucose	glucose	NOUN
sc-589	90	15	are	be	AUX
sc-589	90	16	the	the	DET
sc-589	90	17	two	two	NUM
sc-589	90	18	most	most	ADV
sc-589	90	19	important	important	ADJ
sc-589	90	20	features	feature	NOUN
sc-589	90	21	for	for	ADP
sc-589	90	22	predicting	predict	VERB
sc-589	90	23	the	the	DET
sc-589	90	24	outcome	outcome	NOUN
sc-589	90	25	class	class	NOUN
sc-589	90	26	,	,	PUNCT
sc-589	90	27	with	with	ADP
sc-589	90	28	glucose	glucose	NOUN
sc-589	90	29	being	be	AUX
sc-589	90	30	the	the	DET
sc-589	90	31	most	most	ADV
sc-589	90	32	relevant	relevant	ADJ
sc-589	90	33	since	since	SCONJ
sc-589	90	34	its	its	PRON
sc-589	90	35	correlation	correlation	NOUN
sc-589	90	36	factor	factor	NOUN
sc-589	90	37	is	be	AUX
sc-589	90	38	the	the	DET
sc-589	90	39	highest	high	ADJ
sc-589	90	40	(	(	PUNCT
sc-589	90	41	0.48	0.48	NUM
sc-589	90	42	)	)	PUNCT
sc-589	90	43	and	and	CCONJ
sc-589	90	44	with	with	ADP
sc-589	90	45	a	a	DET
sc-589	90	46	significant	significant	ADJ
sc-589	90	47	lead	lead	NOUN
sc-589	90	48	over	over	ADP
sc-589	90	49	bmi	bmi	NOUN
sc-589	90	50	(	(	PUNCT
sc-589	90	51	0.31	0.31	NUM
sc-589	90	52	)	)	PUNCT
sc-589	90	53	.	.	PUNCT
sc-589	91	1	3.3	3.3	NUM
sc-589	91	2	.	.	PUNCT
sc-589	92	1	data	datum	NOUN
sc-589	92	2	preparation	preparation	NOUN
sc-589	92	3	first	first	ADJ
sc-589	92	4	strategy	strategy	NOUN
sc-589	92	5	.	.	PUNCT
sc-589	93	1	in	in	ADP
sc-589	93	2	order	order	NOUN
sc-589	93	3	to	to	PART
sc-589	93	4	have	have	AUX
sc-589	93	5	a	a	DET
sc-589	93	6	starting	starting	NOUN
sc-589	93	7	point	point	NOUN
sc-589	93	8	with	with	ADP
sc-589	93	9	few	few	ADJ
sc-589	93	10	modifications	modification	NOUN
sc-589	93	11	to	to	PART
sc-589	93	12	understand	understand	VERB
sc-589	93	13	the	the	DET
sc-589	93	14	potential	potential	NOUN
sc-589	93	15	of	of	ADP
sc-589	93	16	the	the	DET
sc-589	93	17	dataset	dataset	NOUN
sc-589	93	18	in	in	ADP
sc-589	93	19	a	a	DET
sc-589	93	20	nearly	nearly	ADV
sc-589	93	21	unmodified	unmodified	ADJ
sc-589	93	22	state	state	NOUN
sc-589	93	23	,	,	PUNCT
sc-589	93	24	while	while	SCONJ
sc-589	93	25	also	also	ADV
sc-589	93	26	serving	serve	VERB
sc-589	93	27	as	as	ADP
sc-589	93	28	a	a	DET
sc-589	93	29	basis	basis	NOUN
sc-589	93	30	for	for	ADP
sc-589	93	31	comparing	compare	VERB
sc-589	93	32	the	the	DET
sc-589	93	33	results	result	NOUN
sc-589	93	34	of	of	ADP
sc-589	93	35	subsequent	subsequent	ADJ
sc-589	93	36	strategies	strategy	NOUN
sc-589	93	37	and	and	CCONJ
sc-589	93	38	corresponding	correspond	VERB
sc-589	93	39	improvements	improvement	NOUN
sc-589	93	40	to	to	ADP
sc-589	93	41	the	the	DET
sc-589	93	42	results	result	NOUN
sc-589	93	43	,	,	PUNCT
sc-589	93	44	the	the	DET
sc-589	93	45	first	first	ADJ
sc-589	93	46	strategy	strategy	NOUN
sc-589	93	47	of	of	ADP
sc-589	93	48	data	datum	NOUN
sc-589	93	49	preparation	preparation	NOUN
sc-589	93	50	was	be	AUX
sc-589	93	51	defined	define	VERB
sc-589	93	52	as	as	ADP
sc-589	93	53	a	a	DET
sc-589	93	54	twostep	twostep	NOUN
sc-589	93	55	process	process	NOUN
sc-589	93	56	.	.	PUNCT
sc-589	94	1	figure	figure	NOUN
sc-589	94	2	2	2	NUM
sc-589	94	3	.	.	PUNCT
sc-589	94	4	correlation	correlation	NOUN
sc-589	94	5	matrix	matrix	NOUN
sc-589	94	6	first	first	ADV
sc-589	94	7	,	,	PUNCT
sc-589	94	8	the	the	DET
sc-589	94	9	mapping	mapping	NOUN
sc-589	94	10	of	of	ADP
sc-589	94	11	all	all	DET
sc-589	94	12	missing	miss	VERB
sc-589	94	13	values	value	NOUN
sc-589	94	14	,	,	PUNCT
sc-589	94	15	which	which	PRON
sc-589	94	16	were	be	AUX
sc-589	94	17	described	describe	VERB
sc-589	94	18	as	as	ADP
sc-589	94	19	zeros	zero	NOUN
sc-589	94	20	,	,	PUNCT
sc-589	94	21	to	to	ADP
sc-589	94	22	nan	nan	PROPN
sc-589	94	23	values	value	NOUN
sc-589	94	24	so	so	SCONJ
sc-589	94	25	that	that	SCONJ
sc-589	94	26	the	the	DET
sc-589	94	27	models	model	NOUN
sc-589	94	28	would	would	AUX
sc-589	94	29	not	not	PART
sc-589	94	30	fail	fail	VERB
sc-589	94	31	because	because	SCONJ
sc-589	94	32	of	of	ADP
sc-589	94	33	non	non	PROPN
sc-589	94	34	expected	expect	VERB
sc-589	94	35	data	datum	NOUN
sc-589	94	36	.	.	PUNCT
sc-589	95	1	second	second	ADJ
sc-589	95	2	,	,	PUNCT
sc-589	95	3	normalizing	normalize	VERB
sc-589	95	4	the	the	DET
sc-589	95	5	data	datum	NOUN
sc-589	95	6	to	to	ADP
sc-589	95	7	values	value	NOUN
sc-589	95	8	between	between	ADP
sc-589	95	9	0	0	NUM
sc-589	95	10	and	and	CCONJ
sc-589	95	11	1	1	NUM
sc-589	95	12	.	.	PUNCT
sc-589	96	1	other	other	ADJ
sc-589	96	2	than	than	ADP
sc-589	96	3	that	that	PRON
sc-589	96	4	,	,	PUNCT
sc-589	96	5	no	no	DET
sc-589	96	6	further	further	ADJ
sc-589	96	7	transformation	transformation	NOUN
sc-589	96	8	operations	operation	NOUN
sc-589	96	9	were	be	AUX
sc-589	96	10	performed	perform	VERB
sc-589	96	11	,	,	PUNCT
sc-589	96	12	nor	nor	CCONJ
sc-589	96	13	were	be	AUX
sc-589	96	14	any	any	DET
sc-589	96	15	originally	originally	ADV
sc-589	96	16	available	available	ADJ
sc-589	96	17	attributes	attribute	NOUN
sc-589	96	18	removed	remove	VERB
sc-589	96	19	.	.	PUNCT
sc-589	97	1	second	second	ADJ
sc-589	97	2	strategy	strategy	NOUN
sc-589	97	3	.	.	PUNCT
sc-589	98	1	since	since	SCONJ
sc-589	98	2	the	the	DET
sc-589	98	3	first	first	ADJ
sc-589	98	4	strategy	strategy	NOUN
sc-589	98	5	was	be	AUX
sc-589	98	6	simply	simply	ADV
sc-589	98	7	to	to	PART
sc-589	98	8	establish	establish	VERB
sc-589	98	9	a	a	DET
sc-589	98	10	baseline	baseline	NOUN
sc-589	98	11	of	of	ADP
sc-589	98	12	comparison	comparison	NOUN
sc-589	98	13	and	and	CCONJ
sc-589	98	14	evaluation	evaluation	NOUN
sc-589	98	15	,	,	PUNCT
sc-589	98	16	the	the	DET
sc-589	98	17	second	second	ADJ
sc-589	98	18	data	data	NOUN
sc-589	98	19	preparation	preparation	NOUN
sc-589	98	20	strategy	strategy	NOUN
sc-589	98	21	involved	involve	VERB
sc-589	98	22	adding	add	VERB
sc-589	98	23	further	further	ADJ
sc-589	98	24	transformations	transformation	NOUN
sc-589	98	25	to	to	ADP
sc-589	98	26	the	the	DET
sc-589	98	27	dataset	dataset	NOUN
sc-589	98	28	to	to	PART
sc-589	98	29	improve	improve	VERB
sc-589	98	30	its	its	PRON
sc-589	98	31	potential	potential	NOUN
sc-589	98	32	for	for	ADP
sc-589	98	33	success	success	NOUN
sc-589	98	34	once	once	SCONJ
sc-589	98	35	it	it	PRON
sc-589	98	36	is	be	AUX
sc-589	98	37	used	use	VERB
sc-589	98	38	to	to	PART
sc-589	98	39	train	train	VERB
sc-589	98	40	the	the	DET
sc-589	98	41	ml	ml	NOUN
sc-589	98	42	models	model	NOUN
sc-589	98	43	.	.	PUNCT
sc-589	99	1	thus	thus	ADV
sc-589	99	2	,	,	PUNCT
sc-589	99	3	the	the	DET
sc-589	99	4	previous	previous	ADJ
sc-589	99	5	steps	step	NOUN
sc-589	99	6	of	of	ADP
sc-589	99	7	mapping	map	VERB
sc-589	99	8	the	the	DET
sc-589	99	9	missing	miss	VERB
sc-589	99	10	values	value	NOUN
sc-589	99	11	and	and	CCONJ
sc-589	99	12	normalizing	normalize	VERB
sc-589	99	13	the	the	DET
sc-589	99	14	data	datum	NOUN
sc-589	99	15	were	be	AUX
sc-589	99	16	retained	retain	VERB
sc-589	99	17	and	and	CCONJ
sc-589	99	18	supplemented	supplement	VERB
sc-589	99	19	with	with	ADP
sc-589	99	20	the	the	DET
sc-589	99	21	removal	removal	NOUN
sc-589	99	22	of	of	ADP
sc-589	99	23	all	all	DET
sc-589	99	24	instances	instance	NOUN
sc-589	99	25	with	with	ADP
sc-589	99	26	missing	miss	VERB
sc-589	99	27	values	value	NOUN
sc-589	99	28	and	and	CCONJ
sc-589	99	29	the	the	DET
sc-589	99	30	removal	removal	NOUN
sc-589	99	31	of	of	ADP
sc-589	99	32	identified	identify	VERB
sc-589	99	33	outliers	outlier	NOUN
sc-589	99	34	once	once	SCONJ
sc-589	99	35	the	the	DET
sc-589	99	36	normalization	normalization	NOUN
sc-589	99	37	process	process	NOUN
sc-589	99	38	was	be	AUX
sc-589	99	39	complete	complete	ADJ
sc-589	99	40	.	.	PUNCT
sc-589	100	1	it	it	PRON
sc-589	100	2	was	be	AUX
sc-589	100	3	also	also	ADV
sc-589	100	4	taken	take	VERB
sc-589	100	5	into	into	ADP
sc-589	100	6	account	account	NOUN
sc-589	100	7	the	the	DET
sc-589	100	8	skewness	skewness	NOUN
sc-589	100	9	of	of	ADP
sc-589	100	10	the	the	DET
sc-589	100	11	dataset	dataset	NOUN
sc-589	100	12	,	,	PUNCT
sc-589	100	13	which	which	PRON
sc-589	100	14	was	be	AUX
sc-589	100	15	addressed	address	VERB
sc-589	100	16	by	by	ADP
sc-589	100	17	applying	apply	VERB
sc-589	100	18	replication	replication	NOUN
sc-589	100	19	techniques	technique	NOUN
sc-589	100	20	to	to	ADP
sc-589	100	21	the	the	DET
sc-589	100	22	existing	exist	VERB
sc-589	100	23	data	datum	NOUN
sc-589	100	24	to	to	PART
sc-589	100	25	increase	increase	VERB
sc-589	100	26	the	the	DET
sc-589	100	27	number	number	NOUN
sc-589	100	28	of	of	ADP
sc-589	100	29	instances	instance	NOUN
sc-589	100	30	associated	associate	VERB
sc-589	100	31	with	with	ADP
sc-589	100	32	the	the	DET
sc-589	100	33	presence	presence	NOUN
sc-589	100	34	of	of	ADP
sc-589	100	35	diabetes	diabetes	NOUN
sc-589	100	36	and	and	CCONJ
sc-589	100	37	to	to	PART
sc-589	100	38	balance	balance	VERB
sc-589	100	39	the	the	DET
sc-589	100	40	proportion	proportion	NOUN
sc-589	100	41	of	of	ADP
sc-589	100	42	positive	positive	ADJ
sc-589	100	43	and	and	CCONJ
sc-589	100	44	negative	negative	ADJ
sc-589	100	45	instances	instance	NOUN
sc-589	100	46	for	for	ADP
sc-589	100	47	the	the	DET
sc-589	100	48	diabetes	diabetes	NOUN
sc-589	100	49	test	test	NOUN
sc-589	100	50	.	.	PUNCT
sc-589	101	1	finally	finally	ADV
sc-589	101	2	,	,	PUNCT
sc-589	101	3	the	the	DET
sc-589	101	4	last	last	ADJ
sc-589	101	5	step	step	NOUN
sc-589	101	6	was	be	AUX
sc-589	101	7	to	to	PART
sc-589	101	8	shuffle	shuffle	VERB
sc-589	101	9	the	the	DET
sc-589	101	10	obtained	obtain	VERB
sc-589	101	11	dataset	dataset	NOUN
sc-589	101	12	to	to	PART
sc-589	101	13	introduce	introduce	VERB
sc-589	101	14	randomization	randomization	NOUN
sc-589	101	15	in	in	ADP
sc-589	101	16	the	the	DET
sc-589	101	17	process	process	NOUN
sc-589	101	18	.	.	PUNCT
sc-589	102	1	third	third	ADJ
sc-589	102	2	strategy	strategy	NOUN
sc-589	102	3	.	.	PUNCT
sc-589	103	1	since	since	SCONJ
sc-589	103	2	the	the	DET
sc-589	103	3	second	second	ADJ
sc-589	103	4	strategy	strategy	NOUN
sc-589	103	5	was	be	AUX
sc-589	103	6	more	more	ADV
sc-589	103	7	focused	focused	ADJ
sc-589	103	8	on	on	ADP
sc-589	103	9	achieving	achieve	VERB
sc-589	103	10	high	high	ADJ
sc-589	103	11	prediction	prediction	NOUN
sc-589	103	12	results	result	NOUN
sc-589	103	13	,	,	PUNCT
sc-589	103	14	the	the	DET
sc-589	103	15	obtained	obtain	VERB
sc-589	103	16	dataset	dataset	NOUN
sc-589	103	17	was	be	AUX
sc-589	103	18	not	not	PART
sc-589	103	19	truly	truly	ADV
sc-589	103	20	representative	representative	ADJ
sc-589	103	21	of	of	ADP
sc-589	103	22	the	the	DET
sc-589	103	23	problem	problem	NOUN
sc-589	103	24	and	and	CCONJ
sc-589	103	25	therefore	therefore	ADV
sc-589	103	26	not	not	PART
sc-589	103	27	reliable	reliable	ADJ
sc-589	103	28	.	.	PUNCT
sc-589	104	1	thus	thus	ADV
sc-589	104	2	,	,	PUNCT
sc-589	104	3	it	it	PRON
sc-589	104	4	was	be	AUX
sc-589	104	5	decided	decide	VERB
sc-589	104	6	to	to	PART
sc-589	104	7	develop	develop	VERB
sc-589	104	8	a	a	DET
sc-589	104	9	third	third	ADJ
sc-589	104	10	data	data	NOUN
sc-589	104	11	preparation	preparation	NOUN
sc-589	104	12	strategy	strategy	NOUN
sc-589	104	13	more	more	ADV
sc-589	104	14	focused	focused	ADJ
sc-589	104	15	on	on	ADP
sc-589	104	16	producing	produce	VERB
sc-589	104	17	a	a	DET
sc-589	104	18	credible	credible	ADJ
sc-589	104	19	and	and	CCONJ
sc-589	104	20	representative	representative	ADJ
sc-589	104	21	dataset	dataset	NOUN
sc-589	104	22	,	,	PUNCT
sc-589	104	23	taking	take	VERB
sc-589	104	24	into	into	ADP
sc-589	104	25	account	account	NOUN
sc-589	104	26	the	the	DET
sc-589	104	27	possible	possible	ADJ
sc-589	104	28	degradation	degradation	NOUN
sc-589	104	29	of	of	ADP
sc-589	104	30	the	the	DET
sc-589	104	31	results	result	NOUN
sc-589	104	32	.	.	PUNCT
sc-589	105	1	4	4	NUM
sc-589	105	2	eai	eai	NOUN
sc-589	105	3	endorsed	endorse	VERB
sc-589	105	4	transactions	transaction	NOUN
sc-589	105	5	on	on	ADP
sc-589	105	6	smart	smart	ADJ
sc-589	105	7	cities	city	NOUN
sc-589	105	8	03	03	NUM
sc-589	105	9	2022	2022	NUM
sc-589	105	10	09	09	NUM
sc-589	105	11	2022	2022	NUM
sc-589	105	12	|	|	ADV
sc-589	105	13	volume	volume	NOUN
sc-589	105	14	6	6	NUM
sc-589	105	15	|	|	NOUN
sc-589	105	16	issue	issue	NOUN
sc-589	105	17	18	18	NUM
sc-589	105	18	|	|	ADV
sc-589	105	19	e1	e1	NOUN
sc-589	105	20	predicting	predict	VERB
sc-589	105	21	diabetes	diabetes	NOUN
sc-589	105	22	disease	disease	NOUN
sc-589	105	23	for	for	ADP
sc-589	105	24	healthy	healthy	ADJ
sc-589	105	25	smart	smart	ADJ
sc-589	105	26	cities	city	NOUN
sc-589	105	27	the	the	DET
sc-589	105	28	second	second	ADJ
sc-589	105	29	strategy	strategy	NOUN
sc-589	105	30	took	take	VERB
sc-589	105	31	the	the	DET
sc-589	105	32	approach	approach	NOUN
sc-589	105	33	of	of	ADP
sc-589	105	34	removing	remove	VERB
sc-589	105	35	all	all	DET
sc-589	105	36	instances	instance	NOUN
sc-589	105	37	with	with	ADP
sc-589	105	38	missing	miss	VERB
sc-589	105	39	values	value	NOUN
sc-589	105	40	,	,	PUNCT
sc-589	105	41	alternatively	alternatively	ADV
sc-589	105	42	this	this	DET
sc-589	105	43	strategy	strategy	NOUN
sc-589	105	44	took	take	VERB
sc-589	105	45	the	the	DET
sc-589	105	46	approach	approach	NOUN
sc-589	105	47	of	of	ADP
sc-589	105	48	removing	remove	VERB
sc-589	105	49	only	only	ADV
sc-589	105	50	the	the	DET
sc-589	105	51	attribute	attribute	NOUN
sc-589	105	52	with	with	ADP
sc-589	105	53	the	the	DET
sc-589	105	54	most	most	ADV
sc-589	105	55	missing	missing	ADJ
sc-589	105	56	values	value	NOUN
sc-589	105	57	.	.	PUNCT
sc-589	106	1	in	in	ADP
sc-589	106	2	the	the	DET
sc-589	106	3	dataset	dataset	NOUN
sc-589	106	4	,	,	PUNCT
sc-589	106	5	there	there	PRON
sc-589	106	6	were	be	VERB
sc-589	106	7	two	two	NUM
sc-589	106	8	main	main	ADJ
sc-589	106	9	attributes	attribute	NOUN
sc-589	106	10	with	with	ADP
sc-589	106	11	missing	miss	VERB
sc-589	106	12	values	value	NOUN
sc-589	106	13	:	:	PUNCT
sc-589	106	14	insulin	insulin	NOUN
sc-589	106	15	with	with	ADP
sc-589	106	16	374	374	NUM
sc-589	106	17	instances	instance	NOUN
sc-589	106	18	(	(	PUNCT
sc-589	106	19	49	49	NUM
sc-589	106	20	%	%	NOUN
sc-589	106	21	of	of	ADP
sc-589	106	22	all	all	DET
sc-589	106	23	instances	instance	NOUN
sc-589	106	24	)	)	PUNCT
sc-589	106	25	and	and	CCONJ
sc-589	106	26	skin	skin	NOUN
sc-589	106	27	thickness	thickness	NOUN
sc-589	106	28	with	with	ADP
sc-589	106	29	227	227	NUM
sc-589	106	30	instances	instance	NOUN
sc-589	106	31	(	(	PUNCT
sc-589	106	32	29	29	NUM
sc-589	106	33	%	%	NOUN
sc-589	106	34	of	of	ADP
sc-589	106	35	all	all	DET
sc-589	106	36	instances	instance	NOUN
sc-589	106	37	)	)	PUNCT
sc-589	106	38	.	.	PUNCT
sc-589	107	1	these	these	PRON
sc-589	107	2	were	be	AUX
sc-589	107	3	also	also	ADV
sc-589	107	4	the	the	DET
sc-589	107	5	attributes	attribute	NOUN
sc-589	107	6	identified	identify	VERB
sc-589	107	7	as	as	ADP
sc-589	107	8	the	the	DET
sc-589	107	9	least	least	ADV
sc-589	107	10	relevant	relevant	ADJ
sc-589	107	11	features	feature	NOUN
sc-589	107	12	for	for	ADP
sc-589	107	13	predicting	predict	VERB
sc-589	107	14	the	the	DET
sc-589	107	15	occurrence	occurrence	NOUN
sc-589	107	16	of	of	ADP
sc-589	107	17	diabetes	diabetes	NOUN
sc-589	107	18	,	,	PUNCT
sc-589	107	19	which	which	PRON
sc-589	107	20	reinforced	reinforce	VERB
sc-589	107	21	the	the	DET
sc-589	107	22	option	option	NOUN
sc-589	107	23	of	of	ADP
sc-589	107	24	removing	remove	VERB
sc-589	107	25	at	at	ADV
sc-589	107	26	least	least	ADJ
sc-589	107	27	one	one	NUM
sc-589	107	28	of	of	ADP
sc-589	107	29	them	they	PRON
sc-589	107	30	.	.	PUNCT
sc-589	108	1	removing	remove	VERB
sc-589	108	2	both	both	DET
sc-589	108	3	columns	column	NOUN
sc-589	108	4	would	would	AUX
sc-589	108	5	significantly	significantly	ADV
sc-589	108	6	reduce	reduce	VERB
sc-589	108	7	the	the	DET
sc-589	108	8	number	number	NOUN
sc-589	108	9	of	of	ADP
sc-589	108	10	attributes	attribute	NOUN
sc-589	108	11	(	(	PUNCT
sc-589	108	12	there	there	PRON
sc-589	108	13	would	would	AUX
sc-589	108	14	be	be	AUX
sc-589	108	15	only	only	ADV
sc-589	108	16	six	six	NUM
sc-589	108	17	)	)	PUNCT
sc-589	108	18	and	and	CCONJ
sc-589	108	19	the	the	DET
sc-589	108	20	dataset	dataset	NOUN
sc-589	108	21	itself	itself	PRON
sc-589	108	22	,	,	PUNCT
sc-589	108	23	resulting	result	VERB
sc-589	108	24	in	in	ADP
sc-589	108	25	a	a	DET
sc-589	108	26	poorer	poor	ADJ
sc-589	108	27	and	and	CCONJ
sc-589	108	28	more	more	ADJ
sc-589	108	29	error	error	NOUN
sc-589	108	30	-	-	PUNCT
sc-589	108	31	prone	prone	ADJ
sc-589	108	32	dataset	dataset	NOUN
sc-589	108	33	.	.	PUNCT
sc-589	109	1	therefore	therefore	ADV
sc-589	109	2	,	,	PUNCT
sc-589	109	3	in	in	ADP
sc-589	109	4	order	order	NOUN
sc-589	109	5	to	to	PART
sc-589	109	6	compromise	compromise	VERB
sc-589	109	7	and	and	CCONJ
sc-589	109	8	maintain	maintain	VERB
sc-589	109	9	the	the	DET
sc-589	109	10	maximum	maximum	ADJ
sc-589	109	11	number	number	NOUN
sc-589	109	12	of	of	ADP
sc-589	109	13	instances	instance	NOUN
sc-589	109	14	while	while	SCONJ
sc-589	109	15	discarding	discard	VERB
sc-589	109	16	much	much	ADJ
sc-589	109	17	of	of	ADP
sc-589	109	18	the	the	DET
sc-589	109	19	missing	miss	VERB
sc-589	109	20	values	value	NOUN
sc-589	109	21	,	,	PUNCT
sc-589	109	22	it	it	PRON
sc-589	109	23	was	be	AUX
sc-589	109	24	decided	decide	VERB
sc-589	109	25	to	to	PART
sc-589	109	26	remove	remove	VERB
sc-589	109	27	only	only	ADV
sc-589	109	28	one	one	NUM
sc-589	109	29	of	of	ADP
sc-589	109	30	these	these	DET
sc-589	109	31	two	two	NUM
sc-589	109	32	attributes	attribute	NOUN
sc-589	109	33	:	:	PUNCT
sc-589	109	34	insulin	insulin	NOUN
sc-589	109	35	,	,	PUNCT
sc-589	109	36	which	which	PRON
sc-589	109	37	,	,	PUNCT
sc-589	109	38	as	as	SCONJ
sc-589	109	39	mentioned	mention	VERB
sc-589	109	40	earlier	early	ADV
sc-589	109	41	,	,	PUNCT
sc-589	109	42	had	have	VERB
sc-589	109	43	the	the	DET
sc-589	109	44	highest	high	ADJ
sc-589	109	45	percentage	percentage	NOUN
sc-589	109	46	of	of	ADP
sc-589	109	47	missing	miss	VERB
sc-589	109	48	values	value	NOUN
sc-589	109	49	and	and	CCONJ
sc-589	109	50	lowest	low	ADJ
sc-589	109	51	correlation	correlation	NOUN
sc-589	109	52	factor	factor	NOUN
sc-589	109	53	.	.	PUNCT
sc-589	110	1	from	from	ADP
sc-589	110	2	this	this	DET
sc-589	110	3	point	point	NOUN
sc-589	110	4	on	on	ADP
sc-589	110	5	,	,	PUNCT
sc-589	110	6	the	the	DET
sc-589	110	7	same	same	ADJ
sc-589	110	8	steps	step	NOUN
sc-589	110	9	as	as	ADP
sc-589	110	10	in	in	ADP
sc-589	110	11	the	the	DET
sc-589	110	12	second	second	ADJ
sc-589	110	13	strategy	strategy	NOUN
sc-589	110	14	were	be	AUX
sc-589	110	15	followed	follow	VERB
sc-589	110	16	,	,	PUNCT
sc-589	110	17	i.e.	i.e.	X
sc-589	110	18	,	,	PUNCT
sc-589	110	19	normalization	normalization	NOUN
sc-589	110	20	,	,	PUNCT
sc-589	110	21	identification	identification	NOUN
sc-589	110	22	and	and	CCONJ
sc-589	110	23	removal	removal	NOUN
sc-589	110	24	of	of	ADP
sc-589	110	25	outliers	outlier	NOUN
sc-589	110	26	,	,	PUNCT
sc-589	110	27	oversampling	oversample	VERB
sc-589	110	28	to	to	PART
sc-589	110	29	correct	correct	VERB
sc-589	110	30	the	the	DET
sc-589	110	31	data	datum	NOUN
sc-589	110	32	imbalance	imbalance	NOUN
sc-589	110	33	,	,	PUNCT
sc-589	110	34	and	and	CCONJ
sc-589	110	35	data	datum	NOUN
sc-589	110	36	shuffling	shuffle	VERB
sc-589	110	37	.	.	PUNCT
sc-589	111	1	finally	finally	ADV
sc-589	111	2	,	,	PUNCT
sc-589	111	3	it	it	PRON
sc-589	111	4	should	should	AUX
sc-589	111	5	be	be	AUX
sc-589	111	6	noted	note	VERB
sc-589	111	7	that	that	SCONJ
sc-589	111	8	in	in	ADP
sc-589	111	9	both	both	CCONJ
sc-589	111	10	the	the	DET
sc-589	111	11	second	second	ADJ
sc-589	111	12	and	and	CCONJ
sc-589	111	13	third	third	ADJ
sc-589	111	14	strategies	strategy	NOUN
sc-589	111	15	,	,	PUNCT
sc-589	111	16	the	the	DET
sc-589	111	17	final	final	ADJ
sc-589	111	18	dataset	dataset	NOUN
sc-589	111	19	comprised	comprise	VERB
sc-589	111	20	about	about	ADV
sc-589	111	21	1250	1250	NUM
sc-589	111	22	instances	instance	NOUN
sc-589	111	23	,	,	PUNCT
sc-589	111	24	with	with	ADP
sc-589	111	25	a	a	DET
sc-589	111	26	similar	similar	ADJ
sc-589	111	27	distribution	distribution	NOUN
sc-589	111	28	of	of	ADP
sc-589	111	29	the	the	DET
sc-589	111	30	outcome	outcome	NOUN
sc-589	111	31	class	class	NOUN
sc-589	111	32	(	(	PUNCT
sc-589	111	33	the	the	DET
sc-589	111	34	obtained	obtain	VERB
sc-589	111	35	datasets	dataset	NOUN
sc-589	111	36	are	be	AUX
sc-589	111	37	balanced	balanced	ADJ
sc-589	111	38	)	)	PUNCT
sc-589	111	39	.	.	PUNCT
sc-589	112	1	3.4	3.4	NUM
sc-589	112	2	.	.	PUNCT
sc-589	112	3	modeling	modeling	NOUN
sc-589	112	4	in	in	ADP
sc-589	112	5	this	this	DET
sc-589	112	6	phase	phase	NOUN
sc-589	112	7	,	,	PUNCT
sc-589	112	8	the	the	DET
sc-589	112	9	goal	goal	NOUN
sc-589	112	10	was	be	AUX
sc-589	112	11	to	to	PART
sc-589	112	12	find	find	VERB
sc-589	112	13	and	and	CCONJ
sc-589	112	14	select	select	VERB
sc-589	112	15	the	the	DET
sc-589	112	16	best	good	ADJ
sc-589	112	17	machine	machine	NOUN
sc-589	112	18	learning	learning	NOUN
sc-589	112	19	models	model	NOUN
sc-589	112	20	,	,	PUNCT
sc-589	112	21	keeping	keep	VERB
sc-589	112	22	in	in	ADP
sc-589	112	23	mind	mind	NOUN
sc-589	112	24	that	that	SCONJ
sc-589	112	25	this	this	PRON
sc-589	112	26	is	be	AUX
sc-589	112	27	a	a	DET
sc-589	112	28	classification	classification	NOUN
sc-589	112	29	problem	problem	NOUN
sc-589	112	30	.	.	PUNCT
sc-589	113	1	as	as	ADP
sc-589	113	2	a	a	DET
sc-589	113	3	result	result	NOUN
sc-589	113	4	,	,	PUNCT
sc-589	113	5	considering	consider	VERB
sc-589	113	6	[	[	X
sc-589	113	7	24	24	NUM
sc-589	113	8	]	]	PUNCT
sc-589	113	9	,	,	PUNCT
sc-589	113	10	six	six	NUM
sc-589	113	11	different	different	ADJ
sc-589	113	12	machine	machine	NOUN
sc-589	113	13	learning	learn	VERB
sc-589	113	14	techniques	technique	NOUN
sc-589	113	15	were	be	AUX
sc-589	113	16	selected	select	VERB
sc-589	113	17	:	:	PUNCT
sc-589	113	18	logistic	logistic	ADJ
sc-589	113	19	regression	regression	NOUN
sc-589	113	20	(	(	PUNCT
sc-589	113	21	lr	lr	NOUN
sc-589	113	22	)	)	PUNCT
sc-589	113	23	,	,	PUNCT
sc-589	113	24	naive	naive	ADJ
sc-589	113	25	bayes	bayes	NOUN
sc-589	113	26	(	(	PUNCT
sc-589	113	27	nb	nb	PROPN
sc-589	113	28	)	)	PUNCT
sc-589	113	29	,	,	PUNCT
sc-589	113	30	support	support	NOUN
sc-589	113	31	vector	vector	NOUN
sc-589	113	32	machine	machine	NOUN
sc-589	113	33	(	(	PUNCT
sc-589	113	34	svm	svm	PROPN
sc-589	113	35	)	)	PUNCT
sc-589	113	36	,	,	PUNCT
sc-589	113	37	random	random	ADJ
sc-589	113	38	forest	forest	NOUN
sc-589	113	39	(	(	PUNCT
sc-589	113	40	rf	rf	NOUN
sc-589	113	41	)	)	PUNCT
sc-589	113	42	,	,	PUNCT
sc-589	113	43	gradient	gradient	NOUN
sc-589	113	44	boosted	boost	VERB
sc-589	113	45	trees	tree	NOUN
sc-589	113	46	(	(	PUNCT
sc-589	113	47	gbt	gbt	PROPN
sc-589	113	48	)	)	PUNCT
sc-589	113	49	,	,	PUNCT
sc-589	113	50	and	and	CCONJ
sc-589	113	51	k	k	X
sc-589	113	52	-	-	PUNCT
sc-589	113	53	nn	nn	NOUN
sc-589	113	54	,	,	PUNCT
sc-589	113	55	with	with	ADP
sc-589	113	56	k	k	PROPN
sc-589	113	57	=	=	SYM
sc-589	113	58	10	10	NUM
sc-589	113	59	.	.	PUNCT
sc-589	114	1	in	in	ADP
sc-589	114	2	addition	addition	NOUN
sc-589	114	3	to	to	ADP
sc-589	114	4	the	the	DET
sc-589	114	5	models	model	NOUN
sc-589	114	6	to	to	PART
sc-589	114	7	be	be	AUX
sc-589	114	8	used	use	VERB
sc-589	114	9	,	,	PUNCT
sc-589	114	10	the	the	DET
sc-589	114	11	technique	technique	NOUN
sc-589	114	12	for	for	ADP
sc-589	114	13	training	training	NOUN
sc-589	114	14	and	and	CCONJ
sc-589	114	15	evaluating	evaluate	VERB
sc-589	114	16	each	each	PRON
sc-589	114	17	of	of	ADP
sc-589	114	18	the	the	DET
sc-589	114	19	selected	select	VERB
sc-589	114	20	ml	ml	NOUN
sc-589	114	21	models	model	NOUN
sc-589	114	22	was	be	AUX
sc-589	114	23	also	also	ADV
sc-589	114	24	selected	select	VERB
sc-589	114	25	.	.	PUNCT
sc-589	115	1	to	to	PART
sc-589	115	2	begin	begin	VERB
sc-589	115	3	,	,	PUNCT
sc-589	115	4	the	the	DET
sc-589	115	5	dataset	dataset	NOUN
sc-589	115	6	was	be	AUX
sc-589	115	7	divided	divide	VERB
sc-589	115	8	into	into	ADP
sc-589	115	9	two	two	NUM
sc-589	115	10	subsets	subset	NOUN
sc-589	115	11	:	:	PUNCT
sc-589	115	12	70	70	NUM
sc-589	115	13	%	%	NOUN
sc-589	115	14	of	of	ADP
sc-589	115	15	the	the	DET
sc-589	115	16	dataset	dataset	NOUN
sc-589	115	17	was	be	AUX
sc-589	115	18	used	use	VERB
sc-589	115	19	to	to	PART
sc-589	115	20	train	train	VERB
sc-589	115	21	the	the	DET
sc-589	115	22	machine	machine	NOUN
sc-589	115	23	learning	learning	NOUN
sc-589	115	24	model	model	NOUN
sc-589	115	25	,	,	PUNCT
sc-589	115	26	while	while	SCONJ
sc-589	115	27	the	the	DET
sc-589	115	28	remaining	remain	VERB
sc-589	115	29	30	30	NUM
sc-589	115	30	%	%	NOUN
sc-589	115	31	was	be	AUX
sc-589	115	32	used	use	VERB
sc-589	115	33	to	to	PART
sc-589	115	34	test	test	VERB
sc-589	115	35	the	the	DET
sc-589	115	36	model	model	NOUN
sc-589	115	37	.	.	PUNCT
sc-589	116	1	the	the	DET
sc-589	116	2	cross	cross	ADJ
sc-589	116	3	-	-	ADJ
sc-589	116	4	validation	validation	ADJ
sc-589	116	5	technique	technique	NOUN
sc-589	116	6	was	be	AUX
sc-589	116	7	used	use	VERB
sc-589	116	8	to	to	PART
sc-589	116	9	train	train	VERB
sc-589	116	10	the	the	DET
sc-589	116	11	machine	machine	NOUN
sc-589	116	12	learning	learn	VERB
sc-589	116	13	model	model	NOUN
sc-589	116	14	with	with	ADP
sc-589	116	15	50	50	NUM
sc-589	116	16	folds	fold	NOUN
sc-589	116	17	.	.	PUNCT
sc-589	117	1	then	then	ADV
sc-589	117	2	,	,	PUNCT
sc-589	117	3	the	the	DET
sc-589	117	4	model	model	NOUN
sc-589	117	5	was	be	AUX
sc-589	117	6	evaluated	evaluate	VERB
sc-589	117	7	with	with	ADP
sc-589	117	8	the	the	DET
sc-589	117	9	testing	testing	NOUN
sc-589	117	10	dataset	dataset	NOUN
sc-589	117	11	,	,	PUNCT
sc-589	117	12	yielding	yield	VERB
sc-589	117	13	the	the	DET
sc-589	117	14	evaluation	evaluation	NOUN
sc-589	117	15	metrics	metric	NOUN
sc-589	117	16	.	.	PUNCT
sc-589	118	1	after	after	ADP
sc-589	118	2	several	several	ADJ
sc-589	118	3	tests	test	NOUN
sc-589	118	4	,	,	PUNCT
sc-589	118	5	the	the	DET
sc-589	118	6	number	number	NOUN
sc-589	118	7	of	of	ADP
sc-589	118	8	folds	fold	NOUN
sc-589	118	9	for	for	ADP
sc-589	118	10	cross	cross	NOUN
sc-589	118	11	-	-	ADJ
sc-589	118	12	validation	validation	NOUN
sc-589	118	13	was	be	AUX
sc-589	118	14	determined	determine	VERB
sc-589	118	15	by	by	ADP
sc-589	118	16	choosing	choose	VERB
sc-589	118	17	the	the	DET
sc-589	118	18	value	value	NOUN
sc-589	118	19	that	that	PRON
sc-589	118	20	provided	provide	VERB
sc-589	118	21	the	the	DET
sc-589	118	22	best	good	ADJ
sc-589	118	23	overall	overall	ADJ
sc-589	118	24	results	result	NOUN
sc-589	118	25	while	while	SCONJ
sc-589	118	26	meeting	meet	VERB
sc-589	118	27	the	the	DET
sc-589	118	28	requirement	requirement	NOUN
sc-589	118	29	of	of	ADP
sc-589	118	30	not	not	PART
sc-589	118	31	promoting	promote	VERB
sc-589	118	32	overfitting	overfitting	NOUN
sc-589	118	33	or	or	CCONJ
sc-589	118	34	under	under	ADV
sc-589	118	35	-	-	PUNCT
sc-589	118	36	fitting	fit	VERB
sc-589	118	37	phenomena	phenomenon	NOUN
sc-589	118	38	.	.	PUNCT
sc-589	119	1	the	the	DET
sc-589	119	2	implementation	implementation	NOUN
sc-589	119	3	of	of	ADP
sc-589	119	4	the	the	DET
sc-589	119	5	stated	state	VERB
sc-589	119	6	strategy	strategy	NOUN
sc-589	119	7	,	,	PUNCT
sc-589	119	8	on	on	ADP
sc-589	119	9	rapidminer	rapidminer	NOUN
sc-589	119	10	,	,	PUNCT
sc-589	119	11	is	be	AUX
sc-589	119	12	shown	show	VERB
sc-589	119	13	in	in	ADP
sc-589	119	14	figure	figure	NOUN
sc-589	119	15	3	3	NUM
sc-589	119	16	.	.	PUNCT
sc-589	119	17	figure	figure	NOUN
sc-589	119	18	3	3	NUM
sc-589	119	19	shows	show	VERB
sc-589	119	20	the	the	DET
sc-589	119	21	implementation	implementation	NOUN
sc-589	119	22	of	of	ADP
sc-589	119	23	the	the	DET
sc-589	119	24	specified	specify	VERB
sc-589	119	25	strategy	strategy	NOUN
sc-589	119	26	,	,	PUNCT
sc-589	119	27	on	on	ADP
sc-589	119	28	rapidminer	rapidminer	NOUN
sc-589	119	29	.	.	PUNCT
sc-589	120	1	figure	figure	VERB
sc-589	120	2	3	3	NUM
sc-589	120	3	.	.	PUNCT
sc-589	120	4	base	base	NOUN
sc-589	120	5	modeling	modeling	NOUN
sc-589	120	6	approach	approach	NOUN
sc-589	120	7	3.5	3.5	NUM
sc-589	120	8	.	.	PUNCT
sc-589	121	1	evaluation	evaluation	NOUN
sc-589	121	2	being	be	AUX
sc-589	121	3	the	the	DET
sc-589	121	4	problem	problem	NOUN
sc-589	121	5	at	at	ADP
sc-589	121	6	hand	hand	NOUN
sc-589	121	7	a	a	DET
sc-589	121	8	classification	classification	NOUN
sc-589	121	9	one	one	NUM
sc-589	121	10	,	,	PUNCT
sc-589	121	11	it	it	PRON
sc-589	121	12	was	be	AUX
sc-589	121	13	decided	decide	VERB
sc-589	121	14	not	not	PART
sc-589	121	15	to	to	PART
sc-589	121	16	use	use	VERB
sc-589	121	17	accuracy	accuracy	NOUN
sc-589	121	18	alone	alone	ADV
sc-589	121	19	as	as	ADP
sc-589	121	20	the	the	DET
sc-589	121	21	performance	performance	NOUN
sc-589	121	22	measure	measure	NOUN
sc-589	121	23	,	,	PUNCT
sc-589	121	24	since	since	SCONJ
sc-589	121	25	this	this	PRON
sc-589	121	26	would	would	AUX
sc-589	121	27	be	be	AUX
sc-589	121	28	misleading	misleading	ADJ
sc-589	121	29	.	.	PUNCT
sc-589	122	1	instead	instead	ADV
sc-589	122	2	,	,	PUNCT
sc-589	122	3	the	the	DET
sc-589	122	4	combination	combination	NOUN
sc-589	122	5	of	of	ADP
sc-589	122	6	accuracy	accuracy	NOUN
sc-589	122	7	,	,	PUNCT
sc-589	122	8	precision	precision	NOUN
sc-589	122	9	,	,	PUNCT
sc-589	122	10	recall	recall	NOUN
sc-589	122	11	,	,	PUNCT
sc-589	122	12	and	and	CCONJ
sc-589	122	13	f1	f1	NOUN
sc-589	122	14	score	score	NOUN
sc-589	122	15	was	be	AUX
sc-589	122	16	used	use	VERB
sc-589	122	17	to	to	PART
sc-589	122	18	compare	compare	VERB
sc-589	122	19	the	the	DET
sc-589	122	20	models	model	NOUN
sc-589	122	21	[	[	X
sc-589	122	22	25	25	NUM
sc-589	122	23	]	]	PUNCT
sc-589	122	24	.	.	PUNCT
sc-589	123	1	to	to	PART
sc-589	123	2	clarify	clarify	VERB
sc-589	123	3	these	these	DET
sc-589	123	4	concepts	concept	NOUN
sc-589	123	5	:	:	PUNCT
sc-589	123	6	•	•	NUM
sc-589	123	7	accuracy	accuracy	NOUN
sc-589	123	8	the	the	DET
sc-589	123	9	ratio	ratio	NOUN
sc-589	123	10	of	of	ADP
sc-589	123	11	correctly	correctly	ADV
sc-589	123	12	predicted	predict	VERB
sc-589	123	13	examples	example	NOUN
sc-589	123	14	to	to	ADP
sc-589	123	15	the	the	DET
sc-589	123	16	total	total	ADJ
sc-589	123	17	examples	example	NOUN
sc-589	123	18	.	.	PUNCT
sc-589	124	1	•	•	NUM
sc-589	124	2	precision	precision	VERB
sc-589	124	3	the	the	DET
sc-589	124	4	ratio	ratio	NOUN
sc-589	124	5	of	of	ADP
sc-589	124	6	correctly	correctly	ADV
sc-589	124	7	classified	classify	VERB
sc-589	124	8	positive	positive	ADJ
sc-589	124	9	examples	example	NOUN
sc-589	124	10	to	to	ADP
sc-589	124	11	all	all	DET
sc-589	124	12	examples	example	NOUN
sc-589	124	13	classified	classify	VERB
sc-589	124	14	as	as	ADP
sc-589	124	15	positive	positive	ADJ
sc-589	124	16	.	.	PUNCT
sc-589	125	1	•	•	NUM
sc-589	125	2	recall	recall	VERB
sc-589	125	3	actual	actual	ADJ
sc-589	125	4	positive	positive	ADJ
sc-589	125	5	rate	rate	NOUN
sc-589	125	6	of	of	ADP
sc-589	125	7	all	all	DET
sc-589	125	8	positive	positive	ADJ
sc-589	125	9	examples	example	NOUN
sc-589	125	10	,	,	PUNCT
sc-589	125	11	i.e.	i.e.	X
sc-589	125	12	the	the	DET
sc-589	125	13	proportion	proportion	NOUN
sc-589	125	14	of	of	ADP
sc-589	125	15	correctly	correctly	ADV
sc-589	125	16	classified	classified	ADJ
sc-589	125	17	examples	example	NOUN
sc-589	125	18	.	.	PUNCT
sc-589	126	1	•	•	NUM
sc-589	126	2	f1	f1	PROPN
sc-589	126	3	score	score	NOUN
sc-589	126	4	weighted	weight	VERB
sc-589	126	5	average	average	NOUN
sc-589	126	6	of	of	ADP
sc-589	126	7	precision	precision	NOUN
sc-589	126	8	and	and	CCONJ
sc-589	126	9	recall	recall	NOUN
sc-589	126	10	.	.	PUNCT
sc-589	127	1	these	these	DET
sc-589	127	2	concepts	concept	NOUN
sc-589	127	3	have	have	VERB
sc-589	127	4	mathematical	mathematical	ADJ
sc-589	127	5	representations	representation	NOUN
sc-589	127	6	,	,	PUNCT
sc-589	127	7	as	as	SCONJ
sc-589	127	8	follows	follow	VERB
sc-589	127	9	:	:	PUNCT
sc-589	127	10	•	•	ADP
sc-589	127	11	p	p	NOUN
sc-589	127	12	recision	recision	NOUN
sc-589	127	13	=	=	PUNCT
sc-589	127	14	t	t	PROPN
sc-589	127	15	p	p	X
sc-589	127	16	t	t	PROPN
sc-589	127	17	p+fp	p+fp	ADJ
sc-589	127	18	•	•	NUM
sc-589	127	19	recall	recall	NOUN
sc-589	127	20	=	=	SYM
sc-589	127	21	t	t	PROPN
sc-589	127	22	p	p	X
sc-589	127	23	t	t	PROPN
sc-589	127	24	p+fn	p+fn	ADJ
sc-589	127	25	•	•	NOUN
sc-589	127	26	f1score	f1score	NOUN
sc-589	127	27	=	=	SYM
sc-589	127	28	2	2	NUM
sc-589	127	29	∗	∗	NOUN
sc-589	127	30	recall∗p	recall∗p	NOUN
sc-589	127	31	recision	recision	NOUN
sc-589	127	32	recall+p	recall+p	PROPN
sc-589	127	33	recision	recision	NOUN
sc-589	127	34	in	in	ADP
sc-589	127	35	addition	addition	NOUN
sc-589	127	36	,	,	PUNCT
sc-589	127	37	the	the	DET
sc-589	127	38	results	result	NOUN
sc-589	127	39	presented	present	VERB
sc-589	127	40	below	below	ADV
sc-589	127	41	were	be	AUX
sc-589	127	42	calculated	calculate	VERB
sc-589	127	43	as	as	ADP
sc-589	127	44	the	the	DET
sc-589	127	45	average	average	NOUN
sc-589	127	46	of	of	ADP
sc-589	127	47	three	three	NUM
sc-589	127	48	different	different	ADJ
sc-589	127	49	executions	execution	NOUN
sc-589	127	50	for	for	ADP
sc-589	127	51	each	each	DET
sc-589	127	52	ml	ml	NOUN
sc-589	127	53	model	model	NOUN
sc-589	127	54	.	.	PUNCT
sc-589	128	1	first	first	ADJ
sc-589	128	2	strategy	strategy	NOUN
sc-589	128	3	.	.	PUNCT
sc-589	129	1	the	the	DET
sc-589	129	2	evaluation	evaluation	NOUN
sc-589	129	3	process	process	NOUN
sc-589	129	4	began	begin	VERB
sc-589	129	5	with	with	ADP
sc-589	129	6	the	the	DET
sc-589	129	7	dataset	dataset	NOUN
sc-589	129	8	that	that	PRON
sc-589	129	9	resulted	result	VERB
sc-589	129	10	from	from	ADP
sc-589	129	11	the	the	DET
sc-589	129	12	first	first	ADJ
sc-589	129	13	data	data	NOUN
sc-589	129	14	preparation	preparation	NOUN
sc-589	129	15	strategy	strategy	NOUN
sc-589	129	16	.	.	PUNCT
sc-589	130	1	the	the	DET
sc-589	130	2	table	table	NOUN
sc-589	130	3	2	2	NUM
sc-589	130	4	summarizes	summarize	NOUN
sc-589	130	5	the	the	DET
sc-589	130	6	achieved	achieve	VERB
sc-589	130	7	results	result	NOUN
sc-589	130	8	for	for	ADP
sc-589	130	9	each	each	DET
sc-589	130	10	machine	machine	NOUN
sc-589	130	11	learning	learn	VERB
sc-589	130	12	model	model	NOUN
sc-589	130	13	.	.	PUNCT
sc-589	131	1	as	as	SCONJ
sc-589	131	2	it	it	PRON
sc-589	131	3	is	be	AUX
sc-589	131	4	possible	possible	ADJ
sc-589	131	5	to	to	PART
sc-589	131	6	perceive	perceive	VERB
sc-589	131	7	the	the	DET
sc-589	131	8	dataset	dataset	NOUN
sc-589	131	9	in	in	ADP
sc-589	131	10	its	its	PRON
sc-589	131	11	almost	almost	ADV
sc-589	131	12	natural	natural	ADJ
sc-589	131	13	state	state	NOUN
sc-589	131	14	does	do	AUX
sc-589	131	15	not	not	PART
sc-589	131	16	produce	produce	VERB
sc-589	131	17	good	good	ADJ
sc-589	131	18	results	result	NOUN
sc-589	131	19	,	,	PUNCT
sc-589	131	20	since	since	SCONJ
sc-589	131	21	every	every	DET
sc-589	131	22	model	model	NOUN
sc-589	131	23	fell	fall	VERB
sc-589	131	24	short	short	ADV
sc-589	131	25	of	of	ADP
sc-589	131	26	reaching	reach	VERB
sc-589	131	27	the	the	DET
sc-589	131	28	minimum	minimum	ADJ
sc-589	131	29	level	level	NOUN
sc-589	131	30	of	of	ADP
sc-589	131	31	75	75	NUM
sc-589	131	32	%	%	NOUN
sc-589	131	33	in	in	ADP
sc-589	131	34	every	every	DET
sc-589	131	35	metric	metric	NOUN
sc-589	131	36	,	,	PUNCT
sc-589	131	37	for	for	ADP
sc-589	131	38	the	the	DET
sc-589	131	39	exception	exception	NOUN
sc-589	131	40	of	of	ADP
sc-589	131	41	the	the	DET
sc-589	131	42	k	k	PROPN
sc-589	131	43	-	-	PUNCT
sc-589	131	44	nn	nn	ADJ
sc-589	131	45	model	model	NOUN
sc-589	131	46	that	that	PRON
sc-589	131	47	was	be	AUX
sc-589	131	48	able	able	ADJ
sc-589	131	49	to	to	PART
sc-589	131	50	achieve	achieve	VERB
sc-589	131	51	approximately	approximately	ADV
sc-589	131	52	75	75	NUM
sc-589	131	53	%	%	NOUN
sc-589	131	54	of	of	ADP
sc-589	131	55	accuracy	accuracy	NOUN
sc-589	131	56	and	and	CCONJ
sc-589	131	57	precision	precision	NOUN
sc-589	131	58	.	.	PUNCT
sc-589	132	1	furthermore	furthermore	ADV
sc-589	132	2	,	,	PUNCT
sc-589	132	3	all	all	DET
sc-589	132	4	models	model	NOUN
sc-589	132	5	achieved	achieve	VERB
sc-589	132	6	virtually	virtually	ADV
sc-589	132	7	the	the	DET
sc-589	132	8	same	same	ADJ
sc-589	132	9	results	result	NOUN
sc-589	132	10	,	,	PUNCT
sc-589	132	11	proving	prove	VERB
sc-589	132	12	that	that	SCONJ
sc-589	132	13	in	in	ADP
sc-589	132	14	most	most	ADJ
sc-589	132	15	cases	case	NOUN
sc-589	132	16	the	the	DET
sc-589	132	17	quality	quality	NOUN
sc-589	132	18	of	of	ADP
sc-589	132	19	the	the	DET
sc-589	132	20	dataset	dataset	NOUN
sc-589	132	21	impacts	impact	NOUN
sc-589	132	22	directly	directly	ADV
sc-589	132	23	the	the	DET
sc-589	132	24	results	result	NOUN
sc-589	132	25	,	,	PUNCT
sc-589	132	26	despite	despite	SCONJ
sc-589	132	27	the	the	DET
sc-589	132	28	selected	select	VERB
sc-589	132	29	model	model	NOUN
sc-589	132	30	and	and	CCONJ
sc-589	132	31	that	that	SCONJ
sc-589	132	32	a	a	DET
sc-589	132	33	poor	poor	ADJ
sc-589	132	34	dataset	dataset	NOUN
sc-589	132	35	,	,	PUNCT
sc-589	132	36	both	both	CCONJ
sc-589	132	37	in	in	ADP
sc-589	132	38	quality	quality	NOUN
sc-589	132	39	and	and	CCONJ
sc-589	132	40	size	size	NOUN
sc-589	132	41	,	,	PUNCT
sc-589	132	42	can	can	AUX
sc-589	132	43	undermine	undermine	VERB
sc-589	132	44	5	5	NUM
sc-589	132	45	eai	eai	NOUN
sc-589	132	46	endorsed	endorse	VERB
sc-589	132	47	transactions	transaction	NOUN
sc-589	132	48	on	on	ADP
sc-589	132	49	smart	smart	ADJ
sc-589	132	50	cities	city	NOUN
sc-589	132	51	03	03	NUM
sc-589	132	52	2022	2022	NUM
sc-589	132	53	09	09	NUM
sc-589	132	54	2022	2022	NUM
sc-589	132	55	|	|	ADV
sc-589	132	56	volume	volume	NOUN
sc-589	132	57	6	6	NUM
sc-589	132	58	|	|	NOUN
sc-589	132	59	issue	issue	NOUN
sc-589	132	60	18	18	NUM
sc-589	133	1	|	|	NOUN
sc-589	133	2	e1	e1	VERB
sc-589	133	3	hugo	hugo	PROPN
sc-589	133	4	peixoto	peixoto	PROPN
sc-589	133	5	et	et	PROPN
sc-589	133	6	al	al	PROPN
sc-589	133	7	.	.	PROPN
sc-589	133	8	table	table	NOUN
sc-589	133	9	2	2	NUM
sc-589	133	10	.	.	PUNCT
sc-589	133	11	testing	testing	NOUN
sc-589	133	12	results	result	NOUN
sc-589	133	13	(	(	PUNCT
sc-589	133	14	first	first	ADJ
sc-589	133	15	strategy	strategy	NOUN
sc-589	133	16	)	)	PUNCT
sc-589	133	17	ml	ml	ADP
sc-589	133	18	model	model	NOUN
sc-589	133	19	accuracy	accuracy	NOUN
sc-589	133	20	(	(	PUNCT
sc-589	133	21	%	%	INTJ
sc-589	133	22	)	)	PUNCT
sc-589	133	23	precision	precision	NOUN
sc-589	133	24	(	(	PUNCT
sc-589	133	25	%	%	INTJ
sc-589	133	26	)	)	PUNCT
sc-589	133	27	recall	recall	NOUN
sc-589	133	28	(	(	PUNCT
sc-589	133	29	%	%	NOUN
sc-589	133	30	)	)	PUNCT
sc-589	133	31	f1	f1	NOUN
sc-589	133	32	score	score	NOUN
sc-589	133	33	(	(	PUNCT
sc-589	133	34	%	%	INTJ
sc-589	133	35	)	)	PUNCT
sc-589	133	36	lr	lr	VERB
sc-589	133	37	72.10	72.10	NUM
sc-589	133	38	74.02	74.02	NUM
sc-589	133	39	69.35	69.35	NUM
sc-589	133	40	71.61	71.61	NUM
sc-589	133	41	nb	nb	PROPN
sc-589	133	42	73.75	73.75	NUM
sc-589	133	43	71.88	71.88	NUM
sc-589	133	44	71.38	71.38	NUM
sc-589	133	45	71.63	71.63	NUM
sc-589	133	46	rf	rf	NUM
sc-589	133	47	73.58	73.58	NUM
sc-589	133	48	71.07	71.07	NUM
sc-589	133	49	69.34	69.34	NUM
sc-589	133	50	70.17	70.17	NUM
sc-589	133	51	svm	svm	VERB
sc-589	133	52	71.89	71.89	NUM
sc-589	133	53	73.05	73.05	NUM
sc-589	133	54	69.38	69.38	NUM
sc-589	133	55	70.18	70.18	NUM
sc-589	133	56	gbt	gbt	PROPN
sc-589	133	57	69.21	69.21	NUM
sc-589	133	58	70.55	70.55	NUM
sc-589	133	59	66.63	66.63	NUM
sc-589	133	60	68.53	68.53	NUM
sc-589	133	61	k	k	X
sc-589	133	62	-	-	PROPN
sc-589	133	63	nn	nn	PROPN
sc-589	133	64	75.33	75.33	NUM
sc-589	133	65	75.15	75.15	NUM
sc-589	133	66	73.83	73.83	NUM
sc-589	133	67	74.48	74.48	NUM
sc-589	133	68	the	the	DET
sc-589	133	69	entire	entire	ADJ
sc-589	133	70	data	data	NOUN
sc-589	133	71	-	-	PUNCT
sc-589	133	72	mining	mining	NOUN
sc-589	133	73	process	process	NOUN
sc-589	133	74	,	,	PUNCT
sc-589	133	75	meaning	mean	VERB
sc-589	133	76	the	the	DET
sc-589	133	77	data	data	NOUN
sc-589	133	78	preparation	preparation	NOUN
sc-589	133	79	phase	phase	NOUN
sc-589	133	80	is	be	AUX
sc-589	133	81	one	one	NUM
sc-589	133	82	of	of	ADP
sc-589	133	83	extremely	extremely	ADJ
sc-589	133	84	importance	importance	NOUN
sc-589	133	85	to	to	ADP
sc-589	133	86	the	the	DET
sc-589	133	87	whole	whole	ADJ
sc-589	133	88	process	process	NOUN
sc-589	133	89	.	.	PUNCT
sc-589	134	1	second	second	ADJ
sc-589	134	2	strategy	strategy	NOUN
sc-589	134	3	.	.	PUNCT
sc-589	135	1	the	the	DET
sc-589	135	2	next	next	ADJ
sc-589	135	3	step	step	NOUN
sc-589	135	4	was	be	AUX
sc-589	135	5	to	to	PART
sc-589	135	6	train	train	VERB
sc-589	135	7	and	and	CCONJ
sc-589	135	8	test	test	VERB
sc-589	135	9	the	the	DET
sc-589	135	10	models	model	NOUN
sc-589	135	11	with	with	ADP
sc-589	135	12	the	the	DET
sc-589	135	13	dataset	dataset	NOUN
sc-589	135	14	that	that	PRON
sc-589	135	15	resulted	result	VERB
sc-589	135	16	from	from	ADP
sc-589	135	17	the	the	DET
sc-589	135	18	second	second	ADJ
sc-589	135	19	data	data	NOUN
sc-589	135	20	preparation	preparation	NOUN
sc-589	135	21	strategy	strategy	NOUN
sc-589	135	22	.	.	PUNCT
sc-589	136	1	the	the	DET
sc-589	136	2	table	table	NOUN
sc-589	136	3	3	3	NUM
sc-589	136	4	shows	show	VERB
sc-589	136	5	an	an	DET
sc-589	136	6	overview	overview	NOUN
sc-589	136	7	of	of	ADP
sc-589	136	8	the	the	DET
sc-589	136	9	results	result	NOUN
sc-589	136	10	of	of	ADP
sc-589	136	11	each	each	DET
sc-589	136	12	model	model	NOUN
sc-589	136	13	for	for	ADP
sc-589	136	14	that	that	DET
sc-589	136	15	dataset	dataset	NOUN
sc-589	136	16	.	.	PUNCT
sc-589	137	1	table	table	NOUN
sc-589	138	1	3	3	NUM
sc-589	138	2	.	.	PUNCT
sc-589	138	3	testing	testing	NOUN
sc-589	138	4	results	result	NOUN
sc-589	138	5	(	(	PUNCT
sc-589	138	6	second	second	ADJ
sc-589	138	7	strategy	strategy	NOUN
sc-589	138	8	)	)	PUNCT
sc-589	138	9	ml	ml	ADP
sc-589	138	10	model	model	NOUN
sc-589	138	11	accuracy	accuracy	NOUN
sc-589	138	12	(	(	PUNCT
sc-589	138	13	%	%	INTJ
sc-589	138	14	)	)	PUNCT
sc-589	138	15	precision	precision	NOUN
sc-589	138	16	(	(	PUNCT
sc-589	138	17	%	%	INTJ
sc-589	138	18	)	)	PUNCT
sc-589	138	19	recall	recall	NOUN
sc-589	138	20	(	(	PUNCT
sc-589	138	21	%	%	NOUN
sc-589	138	22	)	)	PUNCT
sc-589	138	23	f1	f1	NOUN
sc-589	138	24	score	score	NOUN
sc-589	138	25	(	(	PUNCT
sc-589	138	26	%	%	INTJ
sc-589	138	27	)	)	PUNCT
sc-589	138	28	lr	lr	X
sc-589	138	29	77.98	77.98	NUM
sc-589	138	30	79.11	79.11	NUM
sc-589	138	31	75.49	75.49	NUM
sc-589	138	32	77.26	77.26	NUM
sc-589	138	33	nb	nb	NOUN
sc-589	138	34	77.31	77.31	NUM
sc-589	138	35	77.85	77.85	NUM
sc-589	138	36	78.57	78.57	NUM
sc-589	139	1	78.21	78.21	NUM
sc-589	139	2	rf	rf	NUM
sc-589	139	3	93.72	93.72	NUM
sc-589	139	4	94.14	94.14	NUM
sc-589	139	5	93.32	93.32	NUM
sc-589	139	6	93.72	93.72	NUM
sc-589	139	7	svm	svm	VERB
sc-589	139	8	94.59	94.59	NUM
sc-589	139	9	98.00	98.00	NUM
sc-589	139	10	91.97	91.97	NUM
sc-589	139	11	94.89	94.89	NUM
sc-589	139	12	gbt	gbt	PROPN
sc-589	139	13	96.45	96.45	NUM
sc-589	139	14	96.47	96.47	NUM
sc-589	139	15	96.88	96.88	NUM
sc-589	139	16	96.67	96.67	NUM
sc-589	139	17	k	k	PROPN
sc-589	139	18	-	-	PUNCT
sc-589	139	19	nn	nn	PROPN
sc-589	139	20	98.06	98.06	NUM
sc-589	139	21	97.26	97.26	NUM
sc-589	139	22	98.01	98.01	NUM
sc-589	139	23	97.71	97.71	NUM
sc-589	139	24	the	the	DET
sc-589	139	25	first	first	ADJ
sc-589	139	26	thing	thing	NOUN
sc-589	139	27	clearly	clearly	ADV
sc-589	139	28	noticeable	noticeable	ADJ
sc-589	139	29	in	in	ADP
sc-589	139	30	the	the	DET
sc-589	139	31	results	result	NOUN
sc-589	139	32	presented	present	VERB
sc-589	139	33	in	in	ADP
sc-589	139	34	the	the	DET
sc-589	139	35	table	table	NOUN
sc-589	139	36	3	3	NUM
sc-589	139	37	is	be	AUX
sc-589	139	38	the	the	DET
sc-589	139	39	big	big	ADJ
sc-589	139	40	improvement	improvement	NOUN
sc-589	139	41	of	of	ADP
sc-589	139	42	the	the	DET
sc-589	139	43	results	result	NOUN
sc-589	139	44	when	when	SCONJ
sc-589	139	45	compared	compare	VERB
sc-589	139	46	to	to	ADP
sc-589	139	47	the	the	DET
sc-589	139	48	results	result	NOUN
sc-589	139	49	obtained	obtain	VERB
sc-589	139	50	with	with	ADP
sc-589	139	51	the	the	DET
sc-589	139	52	first	first	ADJ
sc-589	139	53	dataset	dataset	NOUN
sc-589	139	54	,	,	PUNCT
sc-589	139	55	specially	specially	ADV
sc-589	139	56	since	since	SCONJ
sc-589	139	57	the	the	DET
sc-589	139	58	applied	apply	VERB
sc-589	139	59	models	model	NOUN
sc-589	139	60	are	be	AUX
sc-589	139	61	the	the	DET
sc-589	139	62	same	same	ADJ
sc-589	139	63	.	.	PUNCT
sc-589	140	1	with	with	ADP
sc-589	140	2	this	this	DET
sc-589	140	3	strategy	strategy	NOUN
sc-589	140	4	it	it	PRON
sc-589	140	5	was	be	AUX
sc-589	140	6	also	also	ADV
sc-589	140	7	possible	possible	ADJ
sc-589	140	8	to	to	PART
sc-589	140	9	understand	understand	VERB
sc-589	140	10	what	what	PRON
sc-589	140	11	models	model	NOUN
sc-589	140	12	were	be	AUX
sc-589	140	13	more	more	ADV
sc-589	140	14	appropriate	appropriate	ADJ
sc-589	140	15	to	to	ADP
sc-589	140	16	the	the	DET
sc-589	140	17	problem	problem	NOUN
sc-589	140	18	at	at	ADP
sc-589	140	19	hand	hand	NOUN
sc-589	140	20	,	,	PUNCT
sc-589	140	21	given	give	VERB
sc-589	140	22	some	some	PRON
sc-589	140	23	of	of	ADP
sc-589	140	24	them	they	PRON
sc-589	140	25	performed	perform	VERB
sc-589	140	26	better	well	ADV
sc-589	140	27	than	than	ADP
sc-589	140	28	the	the	DET
sc-589	140	29	other	other	ADJ
sc-589	140	30	,	,	PUNCT
sc-589	140	31	which	which	PRON
sc-589	140	32	had	have	AUX
sc-589	140	33	n’t	not	PART
sc-589	140	34	happening	happen	VERB
sc-589	140	35	in	in	ADP
sc-589	140	36	the	the	DET
sc-589	140	37	previous	previous	ADJ
sc-589	140	38	case	case	NOUN
sc-589	140	39	.	.	PUNCT
sc-589	141	1	as	as	SCONJ
sc-589	141	2	it	it	PRON
sc-589	141	3	can	can	AUX
sc-589	141	4	be	be	AUX
sc-589	141	5	seen	see	VERB
sc-589	141	6	in	in	ADP
sc-589	141	7	table	table	NOUN
sc-589	141	8	3	3	NUM
sc-589	141	9	,	,	PUNCT
sc-589	141	10	both	both	CCONJ
sc-589	141	11	the	the	DET
sc-589	141	12	logistic	logistic	ADJ
sc-589	141	13	regression	regression	NOUN
sc-589	141	14	and	and	CCONJ
sc-589	141	15	naive	naive	ADJ
sc-589	141	16	bayes	bayes	NOUN
sc-589	141	17	models	model	NOUN
sc-589	141	18	were	be	AUX
sc-589	141	19	the	the	DET
sc-589	141	20	ones	one	NOUN
sc-589	141	21	that	that	PRON
sc-589	141	22	originated	originate	VERB
sc-589	141	23	poorest	poor	ADJ
sc-589	141	24	results	result	NOUN
sc-589	141	25	in	in	ADP
sc-589	141	26	every	every	DET
sc-589	141	27	metric	metric	NOUN
sc-589	141	28	of	of	ADP
sc-589	141	29	evaluation	evaluation	NOUN
sc-589	141	30	,	,	PUNCT
sc-589	141	31	which	which	PRON
sc-589	141	32	is	be	AUX
sc-589	141	33	a	a	DET
sc-589	141	34	clear	clear	ADJ
sc-589	141	35	indication	indication	NOUN
sc-589	141	36	that	that	SCONJ
sc-589	141	37	these	these	DET
sc-589	141	38	models	model	NOUN
sc-589	141	39	are	be	AUX
sc-589	141	40	not	not	PART
sc-589	141	41	the	the	DET
sc-589	141	42	most	most	ADV
sc-589	141	43	suitable	suitable	ADJ
sc-589	141	44	to	to	ADP
sc-589	141	45	the	the	DET
sc-589	141	46	prediction	prediction	NOUN
sc-589	141	47	and	and	CCONJ
sc-589	141	48	classification	classification	NOUN
sc-589	141	49	at	at	ADP
sc-589	141	50	hand	hand	NOUN
sc-589	141	51	.	.	PUNCT
sc-589	142	1	the	the	DET
sc-589	142	2	remaining	remain	VERB
sc-589	142	3	four	four	NUM
sc-589	142	4	models	model	NOUN
sc-589	142	5	:	:	PUNCT
sc-589	142	6	rf	rf	ADJ
sc-589	142	7	,	,	PUNCT
sc-589	142	8	svm	svm	PROPN
sc-589	142	9	,	,	PUNCT
sc-589	142	10	gbt	gbt	PROPN
sc-589	142	11	and	and	CCONJ
sc-589	142	12	knn	knn	PROPN
sc-589	142	13	produced	produce	VERB
sc-589	142	14	far	far	ADV
sc-589	142	15	better	well	ADJ
sc-589	142	16	results	result	NOUN
sc-589	142	17	,	,	PUNCT
sc-589	142	18	being	be	AUX
sc-589	142	19	the	the	DET
sc-589	142	20	k	k	PROPN
sc-589	142	21	-	-	PUNCT
sc-589	142	22	nn	nn	PROPN
sc-589	142	23	model	model	NOUN
sc-589	142	24	the	the	DET
sc-589	142	25	one	one	NOUN
sc-589	142	26	with	with	ADP
sc-589	142	27	highest	high	ADJ
sc-589	142	28	overall	overall	ADJ
sc-589	142	29	performance	performance	NOUN
sc-589	142	30	with	with	ADP
sc-589	142	31	an	an	DET
sc-589	142	32	f1	f1	ADJ
sc-589	142	33	score	score	NOUN
sc-589	142	34	of	of	ADP
sc-589	142	35	almost	almost	ADV
sc-589	142	36	98	98	NUM
sc-589	142	37	%	%	NOUN
sc-589	142	38	.	.	PUNCT
sc-589	143	1	third	third	ADJ
sc-589	143	2	strategy	strategy	NOUN
sc-589	143	3	.	.	PUNCT
sc-589	144	1	finally	finally	ADV
sc-589	144	2	,	,	PUNCT
sc-589	144	3	the	the	DET
sc-589	144	4	models	model	NOUN
sc-589	144	5	were	be	AUX
sc-589	144	6	trained	train	VERB
sc-589	144	7	and	and	CCONJ
sc-589	144	8	tested	test	VERB
sc-589	144	9	with	with	ADP
sc-589	144	10	the	the	DET
sc-589	144	11	dataset	dataset	NOUN
sc-589	144	12	from	from	ADP
sc-589	144	13	the	the	DET
sc-589	144	14	third	third	ADJ
sc-589	144	15	data	data	NOUN
sc-589	144	16	preparation	preparation	NOUN
sc-589	144	17	strategy	strategy	NOUN
sc-589	144	18	,	,	PUNCT
sc-589	144	19	given	give	VERB
sc-589	144	20	that	that	SCONJ
sc-589	144	21	the	the	DET
sc-589	144	22	latter	latter	NOUN
sc-589	144	23	describes	describe	VERB
sc-589	144	24	the	the	DET
sc-589	144	25	problem	problem	NOUN
sc-589	144	26	more	more	ADV
sc-589	144	27	accurately	accurately	ADV
sc-589	144	28	.	.	PUNCT
sc-589	145	1	the	the	DET
sc-589	145	2	table	table	NOUN
sc-589	145	3	4	4	NUM
sc-589	145	4	summarizes	summarize	NOUN
sc-589	145	5	the	the	DET
sc-589	145	6	obtained	obtain	VERB
sc-589	145	7	results	result	NOUN
sc-589	145	8	for	for	ADP
sc-589	145	9	each	each	DET
sc-589	145	10	model	model	NOUN
sc-589	145	11	.	.	PUNCT
sc-589	146	1	table	table	NOUN
sc-589	146	2	4	4	NUM
sc-589	146	3	.	.	PUNCT
sc-589	147	1	testing	testing	NOUN
sc-589	147	2	results	result	NOUN
sc-589	147	3	(	(	PUNCT
sc-589	147	4	third	third	ADJ
sc-589	147	5	strategy	strategy	NOUN
sc-589	147	6	)	)	PUNCT
sc-589	147	7	ml	ml	ADP
sc-589	147	8	model	model	NOUN
sc-589	147	9	accuracy	accuracy	NOUN
sc-589	147	10	(	(	PUNCT
sc-589	147	11	%	%	INTJ
sc-589	147	12	)	)	PUNCT
sc-589	147	13	precision	precision	NOUN
sc-589	147	14	(	(	PUNCT
sc-589	147	15	%	%	INTJ
sc-589	147	16	)	)	PUNCT
sc-589	147	17	recall	recall	NOUN
sc-589	147	18	(	(	PUNCT
sc-589	147	19	%	%	NOUN
sc-589	147	20	)	)	PUNCT
sc-589	147	21	f1	f1	NOUN
sc-589	147	22	score	score	NOUN
sc-589	147	23	(	(	PUNCT
sc-589	147	24	%	%	INTJ
sc-589	147	25	)	)	PUNCT
sc-589	147	26	lr	lr	ADP
sc-589	147	27	76.55	76.55	NUM
sc-589	147	28	75.48	75.48	NUM
sc-589	147	29	75.97	75.97	NUM
sc-589	147	30	75.73	75.73	NUM
sc-589	147	31	nb	nb	NOUN
sc-589	148	1	73.46	73.46	NUM
sc-589	148	2	73.23	73.23	NUM
sc-589	148	3	73.61	73.61	NUM
sc-589	148	4	73.42	73.42	NUM
sc-589	148	5	rf	rf	NUM
sc-589	148	6	85.83	85.83	NUM
sc-589	148	7	86.79	86.79	NUM
sc-589	148	8	87.68	87.68	NUM
sc-589	148	9	87.23	87.23	NUM
sc-589	148	10	svm	svm	PROPN
sc-589	148	11	73.77	73.77	NUM
sc-589	148	12	97.91	97.91	NUM
sc-589	148	13	75.40	75.40	NUM
sc-589	148	14	85.20	85.20	NUM
sc-589	148	15	gbt	gbt	PROPN
sc-589	148	16	87.39	87.39	NUM
sc-589	148	17	88.14	88.14	NUM
sc-589	148	18	87.99	87.99	NUM
sc-589	148	19	88.06	88.06	NUM
sc-589	148	20	k	k	X
sc-589	148	21	-	-	PROPN
sc-589	148	22	nn	nn	PROPN
sc-589	148	23	91.14	91.14	NUM
sc-589	148	24	92.02	92.02	NUM
sc-589	148	25	91.36	91.36	NUM
sc-589	148	26	91.69	91.69	NUM
sc-589	148	27	as	as	SCONJ
sc-589	148	28	was	be	AUX
sc-589	148	29	the	the	DET
sc-589	148	30	case	case	NOUN
sc-589	148	31	with	with	ADP
sc-589	148	32	the	the	DET
sc-589	148	33	second	second	ADJ
sc-589	148	34	dataset	dataset	NOUN
sc-589	148	35	,	,	PUNCT
sc-589	148	36	these	these	PRON
sc-589	148	37	are	be	AUX
sc-589	148	38	also	also	ADV
sc-589	148	39	much	much	ADV
sc-589	148	40	better	well	ADJ
sc-589	148	41	results	result	NOUN
sc-589	148	42	than	than	ADP
sc-589	148	43	those	those	PRON
sc-589	148	44	obtained	obtain	VERB
sc-589	148	45	with	with	ADP
sc-589	148	46	the	the	DET
sc-589	148	47	dataset	dataset	NOUN
sc-589	148	48	from	from	ADP
sc-589	148	49	the	the	DET
sc-589	148	50	first	first	ADJ
sc-589	148	51	data	data	NOUN
sc-589	148	52	preparation	preparation	NOUN
sc-589	148	53	strategy	strategy	NOUN
sc-589	148	54	,	,	PUNCT
sc-589	148	55	despite	despite	SCONJ
sc-589	148	56	being	be	AUX
sc-589	148	57	considerably	considerably	ADV
sc-589	148	58	worse	bad	ADJ
sc-589	148	59	than	than	ADP
sc-589	148	60	the	the	DET
sc-589	148	61	results	result	NOUN
sc-589	148	62	from	from	ADP
sc-589	148	63	the	the	DET
sc-589	148	64	second	second	ADJ
sc-589	148	65	strategy	strategy	NOUN
sc-589	148	66	.	.	PUNCT
sc-589	149	1	these	these	DET
sc-589	149	2	two	two	NUM
sc-589	149	3	observations	observation	NOUN
sc-589	149	4	are	be	AUX
sc-589	149	5	not	not	PART
sc-589	149	6	without	without	ADP
sc-589	149	7	reason	reason	NOUN
sc-589	149	8	and	and	CCONJ
sc-589	149	9	were	be	AUX
sc-589	149	10	quite	quite	ADV
sc-589	149	11	predictable	predictable	ADJ
sc-589	149	12	.	.	PUNCT
sc-589	150	1	since	since	SCONJ
sc-589	150	2	the	the	DET
sc-589	150	3	second	second	ADJ
sc-589	150	4	and	and	CCONJ
sc-589	150	5	third	third	ADJ
sc-589	150	6	strategies	strategy	NOUN
sc-589	150	7	built	build	VERB
sc-589	150	8	on	on	ADP
sc-589	150	9	the	the	DET
sc-589	150	10	data	data	NOUN
sc-589	150	11	preparation	preparation	NOUN
sc-589	150	12	executed	execute	VERB
sc-589	150	13	on	on	ADP
sc-589	150	14	the	the	DET
sc-589	150	15	first	first	ADJ
sc-589	150	16	strategy	strategy	NOUN
sc-589	150	17	and	and	CCONJ
sc-589	150	18	added	add	VERB
sc-589	150	19	more	more	ADJ
sc-589	150	20	transformations	transformation	NOUN
sc-589	150	21	to	to	PART
sc-589	150	22	further	far	ADV
sc-589	150	23	improve	improve	VERB
sc-589	150	24	the	the	DET
sc-589	150	25	quality	quality	NOUN
sc-589	150	26	of	of	ADP
sc-589	150	27	the	the	DET
sc-589	150	28	data	datum	NOUN
sc-589	150	29	it	it	PRON
sc-589	150	30	is	be	AUX
sc-589	150	31	understandable	understandable	ADJ
sc-589	150	32	the	the	DET
sc-589	150	33	results	result	NOUN
sc-589	150	34	from	from	ADP
sc-589	150	35	these	these	DET
sc-589	150	36	two	two	NUM
sc-589	150	37	resulting	result	VERB
sc-589	150	38	datasets	dataset	NOUN
sc-589	150	39	are	be	AUX
sc-589	150	40	better	well	ADJ
sc-589	150	41	than	than	ADP
sc-589	150	42	the	the	DET
sc-589	150	43	results	result	NOUN
sc-589	150	44	from	from	ADP
sc-589	150	45	the	the	DET
sc-589	150	46	dataset	dataset	NOUN
sc-589	150	47	from	from	ADP
sc-589	150	48	the	the	DET
sc-589	150	49	first	first	ADJ
sc-589	150	50	strategy	strategy	NOUN
sc-589	150	51	.	.	PUNCT
sc-589	151	1	on	on	ADP
sc-589	151	2	the	the	DET
sc-589	151	3	other	other	ADJ
sc-589	151	4	hand	hand	NOUN
sc-589	151	5	,	,	PUNCT
sc-589	151	6	the	the	DET
sc-589	151	7	second	second	ADJ
sc-589	151	8	data	data	NOUN
sc-589	151	9	preparation	preparation	NOUN
sc-589	151	10	strategy	strategy	NOUN
sc-589	151	11	had	have	VERB
sc-589	151	12	its	its	PRON
sc-589	151	13	core	core	NOUN
sc-589	151	14	focus	focus	NOUN
sc-589	151	15	on	on	ADP
sc-589	151	16	improving	improve	VERB
sc-589	151	17	as	as	ADV
sc-589	151	18	much	much	ADJ
sc-589	151	19	as	as	ADP
sc-589	151	20	possible	possible	ADJ
sc-589	151	21	the	the	DET
sc-589	151	22	dataset	dataset	NOUN
sc-589	151	23	to	to	PART
sc-589	151	24	achieve	achieve	VERB
sc-589	151	25	high	high	ADJ
sc-589	151	26	evaluation	evaluation	NOUN
sc-589	151	27	results	result	NOUN
sc-589	151	28	,	,	PUNCT
sc-589	151	29	whereas	whereas	SCONJ
sc-589	151	30	the	the	DET
sc-589	151	31	third	third	ADJ
sc-589	151	32	strategy	strategy	NOUN
sc-589	151	33	tried	try	VERB
sc-589	151	34	to	to	PART
sc-589	151	35	create	create	VERB
sc-589	151	36	a	a	DET
sc-589	151	37	compromise	compromise	NOUN
sc-589	151	38	between	between	ADP
sc-589	151	39	a	a	DET
sc-589	151	40	dataset	dataset	NOUN
sc-589	151	41	that	that	PRON
sc-589	151	42	would	would	AUX
sc-589	151	43	produce	produce	VERB
sc-589	151	44	good	good	ADJ
sc-589	151	45	results	result	NOUN
sc-589	151	46	but	but	CCONJ
sc-589	151	47	that	that	PRON
sc-589	151	48	would	would	AUX
sc-589	151	49	also	also	ADV
sc-589	151	50	faithfully	faithfully	ADV
sc-589	151	51	represent	represent	VERB
sc-589	151	52	the	the	DET
sc-589	151	53	problem	problem	NOUN
sc-589	151	54	and	and	CCONJ
sc-589	151	55	context	context	NOUN
sc-589	151	56	in	in	ADP
sc-589	151	57	question	question	NOUN
sc-589	151	58	,	,	PUNCT
sc-589	151	59	something	something	PRON
sc-589	151	60	the	the	DET
sc-589	151	61	second	second	ADJ
sc-589	151	62	dataset	dataset	NOUN
sc-589	151	63	fails	fail	VERB
sc-589	151	64	considerably	considerably	ADV
sc-589	151	65	.	.	PUNCT
sc-589	152	1	analyzing	analyze	VERB
sc-589	152	2	the	the	DET
sc-589	152	3	table	table	NOUN
sc-589	152	4	4	4	NUM
sc-589	152	5	,	,	PUNCT
sc-589	152	6	it	it	PRON
sc-589	152	7	can	can	AUX
sc-589	152	8	be	be	AUX
sc-589	152	9	seen	see	VERB
sc-589	152	10	that	that	SCONJ
sc-589	152	11	the	the	DET
sc-589	152	12	overall	overall	ADJ
sc-589	152	13	performance	performance	NOUN
sc-589	152	14	of	of	ADP
sc-589	152	15	the	the	DET
sc-589	152	16	lr	lr	PROPN
sc-589	152	17	,	,	PUNCT
sc-589	152	18	nb	nb	NOUN
sc-589	152	19	and	and	CCONJ
sc-589	152	20	svm	svm	PROPN
sc-589	152	21	was	be	AUX
sc-589	152	22	worst	bad	ADJ
sc-589	152	23	than	than	ADP
sc-589	152	24	the	the	DET
sc-589	152	25	rf	rf	NOUN
sc-589	152	26	,	,	PUNCT
sc-589	152	27	gbt	gbt	PROPN
sc-589	152	28	and	and	CCONJ
sc-589	152	29	k	k	PROPN
sc-589	152	30	-	-	PUNCT
sc-589	152	31	nn	nn	ADJ
sc-589	152	32	models	model	NOUN
sc-589	152	33	.	.	PUNCT
sc-589	153	1	similarly	similarly	ADV
sc-589	153	2	,	,	PUNCT
sc-589	153	3	the	the	DET
sc-589	153	4	k	k	PROPN
sc-589	153	5	-	-	PUNCT
sc-589	153	6	nn	nn	PROPN
sc-589	153	7	model	model	NOUN
sc-589	153	8	showed	show	VERB
sc-589	153	9	itself	itself	PRON
sc-589	153	10	as	as	ADP
sc-589	153	11	the	the	DET
sc-589	153	12	most	most	ADV
sc-589	153	13	suitable	suitable	ADJ
sc-589	153	14	for	for	ADP
sc-589	153	15	the	the	DET
sc-589	153	16	problem	problem	NOUN
sc-589	153	17	at	at	ADP
sc-589	153	18	hand	hand	NOUN
sc-589	153	19	,	,	PUNCT
sc-589	153	20	with	with	ADP
sc-589	153	21	an	an	DET
sc-589	153	22	accuracy	accuracy	NOUN
sc-589	153	23	of	of	ADP
sc-589	153	24	91	91	NUM
sc-589	153	25	%	%	NOUN
sc-589	153	26	,	,	PUNCT
sc-589	153	27	precision	precision	NOUN
sc-589	153	28	and	and	CCONJ
sc-589	153	29	recall	recall	NOUN
sc-589	153	30	of	of	ADP
sc-589	153	31	91.4	91.4	NUM
sc-589	153	32	%	%	NOUN
sc-589	153	33	and	and	CCONJ
sc-589	153	34	,	,	PUNCT
sc-589	153	35	more	more	ADV
sc-589	153	36	importantly	importantly	ADV
sc-589	153	37	,	,	PUNCT
sc-589	153	38	with	with	ADP
sc-589	153	39	a	a	DET
sc-589	153	40	f1	f1	ADJ
sc-589	153	41	score	score	NOUN
sc-589	153	42	of	of	ADP
sc-589	153	43	92	92	NUM
sc-589	153	44	%	%	NOUN
sc-589	153	45	.	.	PUNCT
sc-589	154	1	4	4	X
sc-589	154	2	.	.	X
sc-589	154	3	discussion	discussion	NOUN
sc-589	154	4	this	this	DET
sc-589	154	5	section	section	NOUN
sc-589	154	6	will	will	AUX
sc-589	154	7	address	address	VERB
sc-589	154	8	and	and	CCONJ
sc-589	154	9	discuss	discuss	VERB
sc-589	154	10	the	the	DET
sc-589	154	11	overall	overall	ADJ
sc-589	154	12	strategies	strategy	NOUN
sc-589	154	13	applied	apply	VERB
sc-589	154	14	during	during	ADP
sc-589	154	15	the	the	DET
sc-589	154	16	execution	execution	NOUN
sc-589	154	17	of	of	ADP
sc-589	154	18	the	the	DET
sc-589	154	19	present	present	ADJ
sc-589	154	20	work	work	NOUN
sc-589	154	21	and	and	CCONJ
sc-589	154	22	,	,	PUNCT
sc-589	154	23	also	also	ADV
sc-589	154	24	,	,	PUNCT
sc-589	154	25	the	the	DET
sc-589	154	26	achieved	achieve	VERB
sc-589	154	27	results	result	NOUN
sc-589	154	28	.	.	PUNCT
sc-589	155	1	the	the	DET
sc-589	155	2	first	first	ADJ
sc-589	155	3	thing	thing	NOUN
sc-589	155	4	worth	worth	ADJ
sc-589	155	5	pointing	point	VERB
sc-589	155	6	out	out	ADP
sc-589	155	7	is	be	AUX
sc-589	155	8	the	the	DET
sc-589	155	9	dataset	dataset	NOUN
sc-589	155	10	itself	itself	PRON
sc-589	155	11	and	and	CCONJ
sc-589	155	12	the	the	DET
sc-589	155	13	goal	goal	NOUN
sc-589	155	14	of	of	ADP
sc-589	155	15	this	this	DET
sc-589	155	16	work	work	NOUN
sc-589	155	17	,	,	PUNCT
sc-589	155	18	which	which	PRON
sc-589	155	19	is	be	AUX
sc-589	155	20	to	to	PART
sc-589	155	21	contribute	contribute	VERB
sc-589	155	22	to	to	ADP
sc-589	155	23	smarter	smart	ADJ
sc-589	155	24	and	and	CCONJ
sc-589	155	25	efficient	efficient	ADJ
sc-589	155	26	cities	city	NOUN
sc-589	155	27	and	and	CCONJ
sc-589	155	28	societies	society	NOUN
sc-589	155	29	with	with	ADP
sc-589	155	30	regard	regard	NOUN
sc-589	155	31	to	to	ADP
sc-589	155	32	its	its	PRON
sc-589	155	33	health	health	NOUN
sc-589	155	34	by	by	ADP
sc-589	155	35	providing	provide	VERB
sc-589	155	36	a	a	DET
sc-589	155	37	proposal	proposal	NOUN
sc-589	155	38	on	on	ADP
sc-589	155	39	a	a	DET
sc-589	155	40	model	model	NOUN
sc-589	155	41	to	to	ADP
sc-589	155	42	6	6	NUM
sc-589	155	43	eai	eai	NOUN
sc-589	155	44	endorsed	endorse	VERB
sc-589	155	45	transactions	transaction	NOUN
sc-589	155	46	on	on	ADP
sc-589	155	47	smart	smart	ADJ
sc-589	155	48	cities	city	NOUN
sc-589	155	49	03	03	NUM
sc-589	155	50	2022	2022	NUM
sc-589	155	51	09	09	NUM
sc-589	155	52	2022	2022	NUM
sc-589	155	53	|	|	ADV
sc-589	155	54	volume	volume	NOUN
sc-589	155	55	6	6	NUM
sc-589	155	56	|	|	NOUN
sc-589	155	57	issue	issue	NOUN
sc-589	155	58	18	18	NUM
sc-589	155	59	|	|	ADV
sc-589	155	60	e1	e1	NOUN
sc-589	155	61	predicting	predict	VERB
sc-589	155	62	diabetes	diabetes	NOUN
sc-589	155	63	disease	disease	NOUN
sc-589	155	64	for	for	ADP
sc-589	155	65	healthy	healthy	ADJ
sc-589	155	66	smart	smart	ADJ
sc-589	155	67	cities	city	NOUN
sc-589	155	68	automatically	automatically	ADV
sc-589	155	69	identify	identify	VERB
sc-589	155	70	the	the	DET
sc-589	155	71	occurrence	occurrence	NOUN
sc-589	155	72	of	of	ADP
sc-589	155	73	diabetes	diabetes	NOUN
sc-589	155	74	in	in	ADP
sc-589	155	75	a	a	DET
sc-589	155	76	person	person	NOUN
sc-589	155	77	.	.	PUNCT
sc-589	156	1	the	the	DET
sc-589	156	2	dataset	dataset	NOUN
sc-589	156	3	used	use	VERB
sc-589	156	4	is	be	AUX
sc-589	156	5	very	very	ADV
sc-589	156	6	focused	focused	ADJ
sc-589	156	7	and	and	CCONJ
sc-589	156	8	particular	particular	ADJ
sc-589	156	9	to	to	ADP
sc-589	156	10	females	female	NOUN
sc-589	156	11	from	from	ADP
sc-589	156	12	the	the	DET
sc-589	156	13	pima	pima	PROPN
sc-589	156	14	population	population	NOUN
sc-589	156	15	.	.	PUNCT
sc-589	157	1	however	however	ADV
sc-589	157	2	,	,	PUNCT
sc-589	157	3	the	the	DET
sc-589	157	4	findings	finding	NOUN
sc-589	157	5	and	and	CCONJ
sc-589	157	6	advances	advance	NOUN
sc-589	157	7	presented	present	VERB
sc-589	157	8	in	in	ADP
sc-589	157	9	this	this	DET
sc-589	157	10	paper	paper	NOUN
sc-589	157	11	can	can	AUX
sc-589	157	12	be	be	AUX
sc-589	157	13	extrapolated	extrapolate	VERB
sc-589	157	14	and	and	CCONJ
sc-589	157	15	replicated	replicate	VERB
sc-589	157	16	with	with	ADP
sc-589	157	17	other	other	ADJ
sc-589	157	18	datasets	dataset	NOUN
sc-589	157	19	that	that	PRON
sc-589	157	20	contain	contain	VERB
sc-589	157	21	a	a	DET
sc-589	157	22	broader	broad	ADJ
sc-589	157	23	diversity	diversity	NOUN
sc-589	157	24	of	of	ADP
sc-589	157	25	population	population	NOUN
sc-589	157	26	,	,	PUNCT
sc-589	157	27	reinforcing	reinforce	VERB
sc-589	157	28	the	the	DET
sc-589	157	29	relevance	relevance	NOUN
sc-589	157	30	and	and	CCONJ
sc-589	157	31	applicability	applicability	NOUN
sc-589	157	32	of	of	ADP
sc-589	157	33	what	what	PRON
sc-589	157	34	was	be	AUX
sc-589	157	35	developed	develop	VERB
sc-589	157	36	in	in	ADP
sc-589	157	37	the	the	DET
sc-589	157	38	course	course	NOUN
sc-589	157	39	of	of	ADP
sc-589	157	40	this	this	DET
sc-589	157	41	work	work	NOUN
sc-589	157	42	.	.	PUNCT
sc-589	158	1	early	early	ADV
sc-589	158	2	on	on	ADV
sc-589	158	3	in	in	ADP
sc-589	158	4	the	the	DET
sc-589	158	5	data	datum	NOUN
sc-589	158	6	analysis	analysis	NOUN
sc-589	158	7	process	process	NOUN
sc-589	158	8	,	,	PUNCT
sc-589	158	9	it	it	PRON
sc-589	158	10	became	become	VERB
sc-589	158	11	clear	clear	ADJ
sc-589	158	12	that	that	SCONJ
sc-589	158	13	the	the	DET
sc-589	158	14	dataset	dataset	NOUN
sc-589	158	15	was	be	AUX
sc-589	158	16	skewed	skew	VERB
sc-589	158	17	,	,	PUNCT
sc-589	158	18	implying	imply	VERB
sc-589	158	19	that	that	SCONJ
sc-589	158	20	there	there	PRON
sc-589	158	21	was	be	VERB
sc-589	158	22	a	a	DET
sc-589	158	23	higher	high	ADJ
sc-589	158	24	weight	weight	NOUN
sc-589	158	25	of	of	ADP
sc-589	158	26	instances	instance	NOUN
sc-589	158	27	on	on	ADP
sc-589	158	28	a	a	DET
sc-589	158	29	class	class	NOUN
sc-589	158	30	(	(	PUNCT
sc-589	158	31	in	in	ADP
sc-589	158	32	this	this	DET
sc-589	158	33	case	case	NOUN
sc-589	158	34	,	,	PUNCT
sc-589	158	35	the	the	DET
sc-589	158	36	instances	instance	NOUN
sc-589	158	37	classified	classify	VERB
sc-589	158	38	as	as	ADP
sc-589	158	39	no	no	PROPN
sc-589	158	40	)	)	PUNCT
sc-589	158	41	,	,	PUNCT
sc-589	158	42	jeopardizing	jeopardize	VERB
sc-589	158	43	the	the	DET
sc-589	158	44	applicability	applicability	NOUN
sc-589	158	45	of	of	ADP
sc-589	158	46	machine	machine	NOUN
sc-589	158	47	learning	learning	NOUN
sc-589	158	48	models	model	NOUN
sc-589	158	49	,	,	PUNCT
sc-589	158	50	which	which	PRON
sc-589	158	51	would	would	AUX
sc-589	158	52	result	result	VERB
sc-589	158	53	in	in	ADP
sc-589	158	54	poorer	poor	ADJ
sc-589	158	55	predictive	predictive	ADJ
sc-589	158	56	performance	performance	NOUN
sc-589	158	57	.	.	PUNCT
sc-589	159	1	the	the	DET
sc-589	159	2	initial	initial	ADJ
sc-589	159	3	data	data	NOUN
sc-589	159	4	preparation	preparation	NOUN
sc-589	159	5	method	method	NOUN
sc-589	159	6	did	do	AUX
sc-589	159	7	not	not	PART
sc-589	159	8	address	address	VERB
sc-589	159	9	this	this	DET
sc-589	159	10	issue	issue	NOUN
sc-589	159	11	on	on	ADP
sc-589	159	12	purpose	purpose	NOUN
sc-589	159	13	to	to	PART
sc-589	159	14	establish	establish	VERB
sc-589	159	15	the	the	DET
sc-589	159	16	earlier	early	ADJ
sc-589	159	17	assumption	assumption	NOUN
sc-589	159	18	that	that	SCONJ
sc-589	159	19	skewed	skewed	ADJ
sc-589	159	20	data	datum	NOUN
sc-589	159	21	would	would	AUX
sc-589	159	22	result	result	VERB
sc-589	159	23	in	in	ADP
sc-589	159	24	worse	bad	ADJ
sc-589	159	25	models	model	NOUN
sc-589	159	26	and	and	CCONJ
sc-589	159	27	that	that	SCONJ
sc-589	159	28	it	it	PRON
sc-589	159	29	was	be	AUX
sc-589	159	30	a	a	DET
sc-589	159	31	problem	problem	NOUN
sc-589	159	32	that	that	PRON
sc-589	159	33	needed	need	VERB
sc-589	159	34	to	to	PART
sc-589	159	35	be	be	AUX
sc-589	159	36	addressed	address	VERB
sc-589	159	37	.	.	PUNCT
sc-589	160	1	three	three	NUM
sc-589	160	2	datasets	dataset	NOUN
sc-589	160	3	were	be	AUX
sc-589	160	4	produced	produce	VERB
sc-589	160	5	with	with	ADP
sc-589	160	6	different	different	ADJ
sc-589	160	7	data	datum	NOUN
sc-589	160	8	preparation	preparation	NOUN
sc-589	160	9	strategies	strategy	NOUN
sc-589	160	10	and	and	CCONJ
sc-589	160	11	core	core	NOUN
sc-589	160	12	goals	goal	NOUN
sc-589	160	13	.	.	PUNCT
sc-589	161	1	the	the	DET
sc-589	161	2	first	first	ADJ
sc-589	161	3	strategy	strategy	NOUN
sc-589	161	4	aimed	aim	VERB
sc-589	161	5	to	to	PART
sc-589	161	6	transform	transform	VERB
sc-589	161	7	the	the	DET
sc-589	161	8	original	original	ADJ
sc-589	161	9	dataset	dataset	NOUN
sc-589	161	10	as	as	ADV
sc-589	161	11	little	little	ADJ
sc-589	161	12	as	as	ADP
sc-589	161	13	possible	possible	ADJ
sc-589	161	14	to	to	PART
sc-589	161	15	create	create	VERB
sc-589	161	16	a	a	DET
sc-589	161	17	baseline	baseline	NOUN
sc-589	161	18	of	of	ADP
sc-589	161	19	results	result	NOUN
sc-589	161	20	to	to	PART
sc-589	161	21	compare	compare	VERB
sc-589	161	22	with	with	ADP
sc-589	161	23	and	and	CCONJ
sc-589	161	24	to	to	PART
sc-589	161	25	highlight	highlight	VERB
sc-589	161	26	the	the	DET
sc-589	161	27	problems	problem	NOUN
sc-589	161	28	of	of	ADP
sc-589	161	29	the	the	DET
sc-589	161	30	dataset	dataset	NOUN
sc-589	161	31	and	and	CCONJ
sc-589	161	32	their	their	PRON
sc-589	161	33	effect	effect	NOUN
sc-589	161	34	on	on	ADP
sc-589	161	35	the	the	DET
sc-589	161	36	results	result	NOUN
sc-589	161	37	achieved	achieve	VERB
sc-589	161	38	by	by	ADP
sc-589	161	39	the	the	DET
sc-589	161	40	machine	machine	NOUN
sc-589	161	41	learning	learning	NOUN
sc-589	161	42	models	model	NOUN
sc-589	161	43	.	.	PUNCT
sc-589	162	1	the	the	DET
sc-589	162	2	second	second	ADJ
sc-589	162	3	strategy	strategy	NOUN
sc-589	162	4	was	be	AUX
sc-589	162	5	created	create	VERB
sc-589	162	6	so	so	SCONJ
sc-589	162	7	that	that	SCONJ
sc-589	162	8	the	the	DET
sc-589	162	9	best	good	ADJ
sc-589	162	10	results	result	NOUN
sc-589	162	11	could	could	AUX
sc-589	162	12	be	be	AUX
sc-589	162	13	obtained	obtain	VERB
sc-589	162	14	when	when	SCONJ
sc-589	162	15	different	different	ADJ
sc-589	162	16	models	model	NOUN
sc-589	162	17	were	be	AUX
sc-589	162	18	used	use	VERB
sc-589	162	19	,	,	PUNCT
sc-589	162	20	however	however	ADV
sc-589	162	21	it	it	PRON
sc-589	162	22	turned	turn	VERB
sc-589	162	23	out	out	ADP
sc-589	162	24	to	to	PART
sc-589	162	25	be	be	AUX
sc-589	162	26	unrepresentative	unrepresentative	ADJ
sc-589	162	27	of	of	ADP
sc-589	162	28	the	the	DET
sc-589	162	29	situation	situation	NOUN
sc-589	162	30	since	since	SCONJ
sc-589	162	31	the	the	DET
sc-589	162	32	data	datum	NOUN
sc-589	162	33	was	be	AUX
sc-589	162	34	multiplied	multiply	VERB
sc-589	162	35	several	several	ADJ
sc-589	162	36	times	time	NOUN
sc-589	162	37	to	to	PART
sc-589	162	38	balance	balance	VERB
sc-589	162	39	the	the	DET
sc-589	162	40	dataset	dataset	NOUN
sc-589	162	41	and	and	CCONJ
sc-589	162	42	provide	provide	VERB
sc-589	162	43	the	the	DET
sc-589	162	44	greatest	great	ADJ
sc-589	162	45	possible	possible	ADJ
sc-589	162	46	performance	performance	NOUN
sc-589	162	47	.	.	PUNCT
sc-589	163	1	as	as	ADP
sc-589	163	2	a	a	DET
sc-589	163	3	result	result	NOUN
sc-589	163	4	,	,	PUNCT
sc-589	163	5	models	model	NOUN
sc-589	163	6	that	that	PRON
sc-589	163	7	were	be	AUX
sc-589	163	8	theoretically	theoretically	ADV
sc-589	163	9	good	good	ADJ
sc-589	163	10	(	(	PUNCT
sc-589	163	11	with	with	ADP
sc-589	163	12	strong	strong	ADJ
sc-589	163	13	metrics	metric	NOUN
sc-589	163	14	in	in	ADP
sc-589	163	15	both	both	DET
sc-589	163	16	training	training	NOUN
sc-589	163	17	and	and	CCONJ
sc-589	163	18	testing	testing	NOUN
sc-589	163	19	,	,	PUNCT
sc-589	163	20	due	due	ADP
sc-589	163	21	to	to	ADP
sc-589	163	22	the	the	DET
sc-589	163	23	dataset	dataset	NOUN
sc-589	163	24	containing	contain	VERB
sc-589	163	25	too	too	ADV
sc-589	163	26	many	many	ADJ
sc-589	163	27	repeated	repeat	VERB
sc-589	163	28	examples	example	NOUN
sc-589	163	29	)	)	PUNCT
sc-589	163	30	but	but	CCONJ
sc-589	163	31	had	have	VERB
sc-589	163	32	no	no	DET
sc-589	163	33	real	real	ADJ
sc-589	163	34	application	application	NOUN
sc-589	163	35	in	in	ADP
sc-589	163	36	the	the	DET
sc-589	163	37	situation	situation	NOUN
sc-589	163	38	were	be	AUX
sc-589	163	39	created	create	VERB
sc-589	163	40	.	.	PUNCT
sc-589	164	1	because	because	SCONJ
sc-589	164	2	it	it	PRON
sc-589	164	3	was	be	AUX
sc-589	164	4	deemed	deem	VERB
sc-589	164	5	insufficient	insufficient	ADJ
sc-589	164	6	,	,	PUNCT
sc-589	164	7	while	while	SCONJ
sc-589	164	8	producing	produce	VERB
sc-589	164	9	good	good	ADJ
sc-589	164	10	results	result	NOUN
sc-589	164	11	,	,	PUNCT
sc-589	164	12	a	a	DET
sc-589	164	13	third	third	ADJ
sc-589	164	14	strategy	strategy	NOUN
sc-589	164	15	was	be	AUX
sc-589	164	16	devised	devise	VERB
sc-589	164	17	with	with	ADP
sc-589	164	18	the	the	DET
sc-589	164	19	goal	goal	NOUN
sc-589	164	20	of	of	ADP
sc-589	164	21	striking	strike	VERB
sc-589	164	22	a	a	DET
sc-589	164	23	balance	balance	NOUN
sc-589	164	24	between	between	ADP
sc-589	164	25	good	good	ADJ
sc-589	164	26	outcomes	outcome	NOUN
sc-589	164	27	and	and	CCONJ
sc-589	164	28	accurate	accurate	ADJ
sc-589	164	29	portrayal	portrayal	NOUN
sc-589	164	30	of	of	ADP
sc-589	164	31	the	the	DET
sc-589	164	32	problem	problem	NOUN
sc-589	164	33	.	.	PUNCT
sc-589	165	1	the	the	DET
sc-589	165	2	models	model	NOUN
sc-589	165	3	in	in	ADP
sc-589	165	4	this	this	DET
sc-589	165	5	third	third	ADJ
sc-589	165	6	strategy	strategy	NOUN
sc-589	165	7	did	do	AUX
sc-589	165	8	not	not	PART
sc-589	165	9	perform	perform	VERB
sc-589	165	10	as	as	ADV
sc-589	165	11	well	well	ADV
sc-589	165	12	as	as	ADP
sc-589	165	13	those	those	PRON
sc-589	165	14	in	in	ADP
sc-589	165	15	the	the	DET
sc-589	165	16	second	second	ADJ
sc-589	165	17	strategy	strategy	NOUN
sc-589	165	18	,	,	PUNCT
sc-589	165	19	but	but	CCONJ
sc-589	165	20	they	they	PRON
sc-589	165	21	were	be	AUX
sc-589	165	22	more	more	ADV
sc-589	165	23	suited	suited	ADJ
sc-589	165	24	to	to	ADP
sc-589	165	25	the	the	DET
sc-589	165	26	problem	problem	NOUN
sc-589	165	27	,	,	PUNCT
sc-589	165	28	and	and	CCONJ
sc-589	165	29	,	,	PUNCT
sc-589	165	30	therefore	therefore	ADV
sc-589	165	31	,	,	PUNCT
sc-589	165	32	the	the	DET
sc-589	165	33	third	third	ADJ
sc-589	165	34	data	data	NOUN
sc-589	165	35	preparation	preparation	NOUN
sc-589	165	36	strategy	strategy	NOUN
sc-589	165	37	it	it	PRON
sc-589	165	38	was	be	AUX
sc-589	165	39	chosen	choose	VERB
sc-589	165	40	as	as	ADP
sc-589	165	41	the	the	DET
sc-589	165	42	final	final	ADJ
sc-589	165	43	approach	approach	NOUN
sc-589	165	44	.	.	PUNCT
sc-589	166	1	when	when	SCONJ
sc-589	166	2	modeling	modeling	NOUN
sc-589	166	3	,	,	PUNCT
sc-589	166	4	six	six	NUM
sc-589	166	5	distinct	distinct	ADJ
sc-589	166	6	models	model	NOUN
sc-589	166	7	were	be	AUX
sc-589	166	8	used	use	VERB
sc-589	166	9	:	:	PUNCT
sc-589	166	10	lr	lr	INTJ
sc-589	166	11	,	,	PUNCT
sc-589	166	12	nb	nb	PROPN
sc-589	166	13	,	,	PUNCT
sc-589	166	14	rf	rf	NOUN
sc-589	166	15	,	,	PUNCT
sc-589	166	16	svm	svm	PROPN
sc-589	166	17	,	,	PUNCT
sc-589	166	18	gbt	gbt	PROPN
sc-589	166	19	,	,	PUNCT
sc-589	166	20	and	and	CCONJ
sc-589	166	21	k	k	PROPN
sc-589	166	22	-	-	PUNCT
sc-589	166	23	nn	nn	NOUN
sc-589	166	24	,	,	PUNCT
sc-589	166	25	with	with	ADP
sc-589	166	26	70	70	NUM
sc-589	166	27	percent	percent	NOUN
sc-589	166	28	of	of	ADP
sc-589	166	29	the	the	DET
sc-589	166	30	dataset	dataset	NOUN
sc-589	166	31	being	be	AUX
sc-589	166	32	used	use	VERB
sc-589	166	33	for	for	ADP
sc-589	166	34	training	training	NOUN
sc-589	166	35	and	and	CCONJ
sc-589	166	36	the	the	DET
sc-589	166	37	remaining	remain	VERB
sc-589	166	38	30	30	NUM
sc-589	166	39	percent	percent	NOUN
sc-589	166	40	for	for	ADP
sc-589	166	41	testing	testing	NOUN
sc-589	166	42	.	.	PUNCT
sc-589	167	1	a	a	DET
sc-589	167	2	cross	cross	ADJ
sc-589	167	3	-	-	ADJ
sc-589	167	4	validation	validation	ADJ
sc-589	167	5	approach	approach	NOUN
sc-589	167	6	was	be	AUX
sc-589	167	7	employed	employ	VERB
sc-589	167	8	to	to	PART
sc-589	167	9	train	train	VERB
sc-589	167	10	the	the	DET
sc-589	167	11	model	model	NOUN
sc-589	167	12	,	,	PUNCT
sc-589	167	13	and	and	CCONJ
sc-589	167	14	then	then	ADV
sc-589	167	15	the	the	DET
sc-589	167	16	model	model	NOUN
sc-589	167	17	was	be	AUX
sc-589	167	18	tested	test	VERB
sc-589	167	19	.	.	PUNCT
sc-589	168	1	this	this	DET
sc-589	168	2	technique	technique	NOUN
sc-589	168	3	ensures	ensure	VERB
sc-589	168	4	that	that	SCONJ
sc-589	168	5	procedures	procedure	NOUN
sc-589	168	6	are	be	AUX
sc-589	168	7	consistent	consistent	ADJ
sc-589	168	8	and	and	CCONJ
sc-589	168	9	coherent	coherent	ADJ
sc-589	168	10	throughout	throughout	ADP
sc-589	168	11	various	various	ADJ
sc-589	168	12	tests	test	NOUN
sc-589	168	13	and	and	CCONJ
sc-589	168	14	executions	execution	NOUN
sc-589	168	15	,	,	PUNCT
sc-589	168	16	allowing	allow	VERB
sc-589	168	17	for	for	ADP
sc-589	168	18	more	more	ADJ
sc-589	168	19	confidence	confidence	NOUN
sc-589	168	20	in	in	ADP
sc-589	168	21	the	the	DET
sc-589	168	22	capacity	capacity	NOUN
sc-589	168	23	to	to	PART
sc-589	168	24	compare	compare	VERB
sc-589	168	25	findings	finding	NOUN
sc-589	168	26	and	and	CCONJ
sc-589	168	27	recreate	recreate	VERB
sc-589	168	28	the	the	DET
sc-589	168	29	specified	specified	ADJ
sc-589	168	30	circumstances	circumstance	NOUN
sc-589	168	31	in	in	ADP
sc-589	168	32	subsequent	subsequent	ADJ
sc-589	168	33	iterations	iteration	NOUN
sc-589	168	34	.	.	PUNCT
sc-589	169	1	when	when	SCONJ
sc-589	169	2	evaluating	evaluate	VERB
sc-589	169	3	the	the	DET
sc-589	169	4	first	first	ADJ
sc-589	169	5	strategy	strategy	NOUN
sc-589	169	6	,	,	PUNCT
sc-589	169	7	it	it	PRON
sc-589	169	8	was	be	AUX
sc-589	169	9	noticeably	noticeably	ADV
sc-589	169	10	that	that	SCONJ
sc-589	169	11	all	all	DET
sc-589	169	12	models	model	NOUN
sc-589	169	13	performed	perform	VERB
sc-589	169	14	poorly	poorly	ADV
sc-589	169	15	no	no	ADV
sc-589	169	16	matter	matter	ADV
sc-589	169	17	how	how	SCONJ
sc-589	169	18	good	good	ADJ
sc-589	169	19	or	or	CCONJ
sc-589	169	20	sophisticated	sophisticated	ADJ
sc-589	169	21	the	the	DET
sc-589	169	22	model	model	NOUN
sc-589	169	23	was	be	AUX
sc-589	169	24	,	,	PUNCT
sc-589	169	25	meaning	mean	VERB
sc-589	169	26	the	the	DET
sc-589	169	27	dataset	dataset	NOUN
sc-589	169	28	was	be	AUX
sc-589	169	29	the	the	DET
sc-589	169	30	problem	problem	NOUN
sc-589	169	31	and	and	CCONJ
sc-589	169	32	that	that	SCONJ
sc-589	169	33	it	it	PRON
sc-589	169	34	needed	need	VERB
sc-589	169	35	further	further	ADJ
sc-589	169	36	improvement	improvement	NOUN
sc-589	169	37	and	and	CCONJ
sc-589	169	38	transformation	transformation	NOUN
sc-589	169	39	in	in	ADP
sc-589	169	40	order	order	NOUN
sc-589	169	41	to	to	PART
sc-589	169	42	achieve	achieve	VERB
sc-589	169	43	good	good	ADJ
sc-589	169	44	results	result	NOUN
sc-589	169	45	.	.	PUNCT
sc-589	170	1	in	in	ADP
sc-589	170	2	regard	regard	NOUN
sc-589	170	3	to	to	ADP
sc-589	170	4	the	the	DET
sc-589	170	5	second	second	ADJ
sc-589	170	6	strategy	strategy	NOUN
sc-589	170	7	’s	’s	PART
sc-589	170	8	evaluation	evaluation	NOUN
sc-589	170	9	,	,	PUNCT
sc-589	170	10	it	it	PRON
sc-589	170	11	was	be	AUX
sc-589	170	12	evident	evident	ADJ
sc-589	170	13	that	that	SCONJ
sc-589	170	14	the	the	DET
sc-589	170	15	overall	overall	ADJ
sc-589	170	16	performance	performance	NOUN
sc-589	170	17	metrics	metric	NOUN
sc-589	170	18	were	be	AUX
sc-589	170	19	acceptable	acceptable	ADJ
sc-589	170	20	when	when	SCONJ
sc-589	170	21	utilizing	utilize	VERB
sc-589	170	22	rf	rf	NOUN
sc-589	170	23	,	,	PUNCT
sc-589	170	24	svm	svm	PROPN
sc-589	170	25	,	,	PUNCT
sc-589	170	26	gbt	gbt	PROPN
sc-589	170	27	,	,	PUNCT
sc-589	170	28	and	and	CCONJ
sc-589	170	29	k	k	PROPN
sc-589	170	30	-	-	PUNCT
sc-589	170	31	nn	nn	NOUN
sc-589	170	32	,	,	PUNCT
sc-589	170	33	as	as	SCONJ
sc-589	170	34	they	they	PRON
sc-589	170	35	had	have	VERB
sc-589	170	36	an	an	DET
sc-589	170	37	f1	f1	ADJ
sc-589	170	38	score	score	NOUN
sc-589	170	39	superior	superior	ADJ
sc-589	170	40	to	to	ADP
sc-589	170	41	90	90	NUM
sc-589	170	42	%	%	NOUN
sc-589	170	43	.	.	PUNCT
sc-589	171	1	lr	lr	NOUN
sc-589	171	2	and	and	CCONJ
sc-589	171	3	nb	nb	PROPN
sc-589	171	4	were	be	AUX
sc-589	171	5	not	not	PART
sc-589	171	6	considered	consider	VERB
sc-589	171	7	suitable	suitable	ADJ
sc-589	171	8	given	give	VERB
sc-589	171	9	the	the	DET
sc-589	171	10	achieved	achieve	VERB
sc-589	171	11	values	value	NOUN
sc-589	171	12	were	be	AUX
sc-589	171	13	around	around	ADV
sc-589	171	14	77	77	NUM
sc-589	171	15	%	%	NOUN
sc-589	171	16	.	.	PUNCT
sc-589	172	1	since	since	SCONJ
sc-589	172	2	k	k	PROPN
sc-589	172	3	-	-	PUNCT
sc-589	172	4	nn	nn	PROPN
sc-589	172	5	achieved	achieve	VERB
sc-589	172	6	f1	f1	NOUN
sc-589	172	7	score	score	NOUN
sc-589	172	8	values	value	NOUN
sc-589	172	9	of	of	ADP
sc-589	172	10	around	around	ADP
sc-589	172	11	98	98	NUM
sc-589	172	12	%	%	NOUN
sc-589	172	13	,	,	PUNCT
sc-589	172	14	it	it	PRON
sc-589	172	15	was	be	AUX
sc-589	172	16	thought	think	VERB
sc-589	172	17	to	to	PART
sc-589	172	18	be	be	AUX
sc-589	172	19	the	the	DET
sc-589	172	20	best	good	ADJ
sc-589	172	21	model	model	NOUN
sc-589	172	22	for	for	ADP
sc-589	172	23	this	this	DET
sc-589	172	24	particular	particular	ADJ
sc-589	172	25	strategy	strategy	NOUN
sc-589	172	26	.	.	PUNCT
sc-589	173	1	in	in	ADP
sc-589	173	2	the	the	DET
sc-589	173	3	final	final	ADJ
sc-589	173	4	strategy	strategy	NOUN
sc-589	173	5	,	,	PUNCT
sc-589	173	6	nb	nb	PROPN
sc-589	173	7	and	and	CCONJ
sc-589	173	8	lr	lr	PROPN
sc-589	173	9	presented	present	VERB
sc-589	173	10	the	the	DET
sc-589	173	11	worst	bad	ADJ
sc-589	173	12	performance	performance	NOUN
sc-589	173	13	with	with	ADP
sc-589	173	14	73	73	NUM
sc-589	173	15	%	%	NOUN
sc-589	173	16	and	and	CCONJ
sc-589	173	17	76	76	NUM
sc-589	173	18	%	%	NOUN
sc-589	173	19	of	of	ADP
sc-589	173	20	f1	f1	PROPN
sc-589	173	21	score	score	NOUN
sc-589	173	22	,	,	PUNCT
sc-589	173	23	respectively	respectively	ADV
sc-589	173	24	,	,	PUNCT
sc-589	173	25	followed	follow	VERB
sc-589	173	26	by	by	ADP
sc-589	173	27	the	the	DET
sc-589	173	28	svm	svm	PROPN
sc-589	173	29	with	with	ADP
sc-589	173	30	an	an	DET
sc-589	173	31	f1	f1	ADJ
sc-589	173	32	score	score	NOUN
sc-589	173	33	of	of	ADP
sc-589	173	34	roughly	roughly	ADV
sc-589	173	35	85	85	NUM
sc-589	173	36	%	%	NOUN
sc-589	173	37	.	.	PUNCT
sc-589	174	1	rf	rf	PRON
sc-589	174	2	and	and	CCONJ
sc-589	174	3	gbt	gbt	PROPN
sc-589	174	4	had	have	VERB
sc-589	174	5	similar	similar	ADJ
sc-589	174	6	results	result	NOUN
sc-589	174	7	but	but	CCONJ
sc-589	174	8	gbt	gbt	PROPN
sc-589	174	9	had	have	VERB
sc-589	174	10	an	an	DET
sc-589	174	11	overall	overall	ADJ
sc-589	174	12	improvement	improvement	NOUN
sc-589	174	13	,	,	PUNCT
sc-589	174	14	having	have	VERB
sc-589	174	15	an	an	DET
sc-589	174	16	f1	f1	ADJ
sc-589	174	17	score	score	NOUN
sc-589	174	18	of	of	ADP
sc-589	174	19	87	87	NUM
sc-589	174	20	%	%	NOUN
sc-589	174	21	and	and	CCONJ
sc-589	174	22	88	88	NUM
sc-589	174	23	%	%	NOUN
sc-589	174	24	,	,	PUNCT
sc-589	174	25	respectively	respectively	ADV
sc-589	174	26	.	.	PUNCT
sc-589	175	1	with	with	ADP
sc-589	175	2	a	a	DET
sc-589	175	3	f1	f1	ADJ
sc-589	175	4	score	score	NOUN
sc-589	175	5	of	of	ADP
sc-589	175	6	around	around	ADP
sc-589	175	7	92	92	NUM
sc-589	175	8	%	%	NOUN
sc-589	175	9	,	,	PUNCT
sc-589	175	10	the	the	DET
sc-589	175	11	k	k	PROPN
sc-589	175	12	-	-	PUNCT
sc-589	175	13	nn	nn	PROPN
sc-589	175	14	model	model	NOUN
sc-589	175	15	proved	prove	VERB
sc-589	175	16	itself	itself	PRON
sc-589	175	17	as	as	ADP
sc-589	175	18	the	the	DET
sc-589	175	19	most	most	ADV
sc-589	175	20	suitable	suitable	ADJ
sc-589	175	21	to	to	ADP
sc-589	175	22	the	the	DET
sc-589	175	23	given	give	VERB
sc-589	175	24	problem	problem	NOUN
sc-589	175	25	and	and	CCONJ
sc-589	175	26	dataset	dataset	NOUN
sc-589	175	27	.	.	PUNCT
sc-589	176	1	finally	finally	ADV
sc-589	176	2	,	,	PUNCT
sc-589	176	3	it	it	PRON
sc-589	176	4	is	be	AUX
sc-589	176	5	worth	worth	ADJ
sc-589	176	6	evaluating	evaluate	VERB
sc-589	176	7	the	the	DET
sc-589	176	8	whole	whole	ADJ
sc-589	176	9	research	research	NOUN
sc-589	176	10	process	process	NOUN
sc-589	176	11	through	through	ADP
sc-589	176	12	a	a	DET
sc-589	176	13	swot	swot	PROPN
sc-589	176	14	analysis	analysis	NOUN
sc-589	176	15	,	,	PUNCT
sc-589	176	16	i.e.	i.e.	X
sc-589	176	17	,	,	PUNCT
sc-589	176	18	the	the	DET
sc-589	176	19	main	main	ADJ
sc-589	176	20	strengths	strength	NOUN
sc-589	176	21	,	,	PUNCT
sc-589	176	22	weaknesses	weakness	NOUN
sc-589	176	23	,	,	PUNCT
sc-589	176	24	opportunities	opportunity	NOUN
sc-589	176	25	and	and	CCONJ
sc-589	176	26	threats	threat	NOUN
sc-589	176	27	in	in	ADP
sc-589	176	28	this	this	DET
sc-589	176	29	study	study	NOUN
sc-589	176	30	.	.	PUNCT
sc-589	177	1	strengths	strength	NOUN
sc-589	177	2	.	.	PUNCT
sc-589	178	1	one	one	NUM
sc-589	178	2	of	of	ADP
sc-589	178	3	the	the	DET
sc-589	178	4	major	major	ADJ
sc-589	178	5	strengths	strength	NOUN
sc-589	178	6	of	of	ADP
sc-589	178	7	this	this	DET
sc-589	178	8	work	work	NOUN
sc-589	178	9	is	be	AUX
sc-589	178	10	the	the	DET
sc-589	178	11	used	use	VERB
sc-589	178	12	methodology	methodology	NOUN
sc-589	178	13	and	and	CCONJ
sc-589	178	14	approach	approach	NOUN
sc-589	178	15	that	that	PRON
sc-589	178	16	,	,	PUNCT
sc-589	178	17	as	as	SCONJ
sc-589	178	18	previously	previously	ADV
sc-589	178	19	stated	state	VERB
sc-589	178	20	,	,	PUNCT
sc-589	178	21	provides	provide	VERB
sc-589	178	22	consistency	consistency	NOUN
sc-589	178	23	and	and	CCONJ
sc-589	178	24	coherence	coherence	NOUN
sc-589	178	25	,	,	PUNCT
sc-589	178	26	meaning	mean	VERB
sc-589	178	27	it	it	PRON
sc-589	178	28	is	be	AUX
sc-589	178	29	reliable	reliable	ADJ
sc-589	178	30	and	and	CCONJ
sc-589	178	31	easy	easy	ADJ
sc-589	178	32	to	to	PART
sc-589	178	33	replicate	replicate	VERB
sc-589	178	34	,	,	PUNCT
sc-589	178	35	as	as	ADV
sc-589	178	36	well	well	ADV
sc-589	178	37	as	as	ADP
sc-589	178	38	provides	provide	VERB
sc-589	178	39	confidence	confidence	NOUN
sc-589	178	40	in	in	ADP
sc-589	178	41	the	the	DET
sc-589	178	42	achieved	achieve	VERB
sc-589	178	43	results	result	NOUN
sc-589	178	44	.	.	PUNCT
sc-589	179	1	weaknesses	weakness	NOUN
sc-589	179	2	.	.	PUNCT
sc-589	180	1	the	the	DET
sc-589	180	2	dataset	dataset	NOUN
sc-589	180	3	’s	’s	PART
sc-589	180	4	low	low	ADJ
sc-589	180	5	representation	representation	NOUN
sc-589	180	6	of	of	ADP
sc-589	180	7	the	the	DET
sc-589	180	8	global	global	ADJ
sc-589	180	9	population	population	NOUN
sc-589	180	10	and	and	CCONJ
sc-589	180	11	the	the	DET
sc-589	180	12	ability	ability	NOUN
sc-589	180	13	to	to	PART
sc-589	180	14	predict	predict	VERB
sc-589	180	15	false	false	ADJ
sc-589	180	16	positives	positive	NOUN
sc-589	180	17	can	can	AUX
sc-589	180	18	be	be	AUX
sc-589	180	19	seen	see	VERB
sc-589	180	20	as	as	ADP
sc-589	180	21	drawbacks	drawback	NOUN
sc-589	180	22	to	to	ADP
sc-589	180	23	the	the	DET
sc-589	180	24	effective	effective	ADJ
sc-589	180	25	evaluation	evaluation	NOUN
sc-589	180	26	of	of	ADP
sc-589	180	27	this	this	DET
sc-589	180	28	work	work	NOUN
sc-589	180	29	.	.	PUNCT
sc-589	181	1	opportunities	opportunity	NOUN
sc-589	181	2	.	.	PUNCT
sc-589	182	1	this	this	DET
sc-589	182	2	study	study	NOUN
sc-589	182	3	has	have	VERB
sc-589	182	4	the	the	DET
sc-589	182	5	potential	potential	NOUN
sc-589	182	6	to	to	PART
sc-589	182	7	solve	solve	VERB
sc-589	182	8	a	a	DET
sc-589	182	9	global	global	ADJ
sc-589	182	10	problem	problem	NOUN
sc-589	182	11	by	by	ADP
sc-589	182	12	predicting	predict	VERB
sc-589	182	13	the	the	DET
sc-589	182	14	occurrence	occurrence	NOUN
sc-589	182	15	of	of	ADP
sc-589	182	16	diabetes	diabetes	NOUN
sc-589	182	17	disease	disease	NOUN
sc-589	182	18	in	in	ADP
sc-589	182	19	each	each	DET
sc-589	182	20	and	and	CCONJ
sc-589	182	21	every	every	PRON
sc-589	182	22	individual	individual	NOUN
sc-589	182	23	,	,	PUNCT
sc-589	182	24	which	which	PRON
sc-589	182	25	,	,	PUNCT
sc-589	182	26	if	if	SCONJ
sc-589	182	27	detected	detect	VERB
sc-589	182	28	early	early	ADV
sc-589	182	29	,	,	PUNCT
sc-589	182	30	could	could	AUX
sc-589	182	31	save	save	VERB
sc-589	182	32	many	many	ADJ
sc-589	182	33	lives	life	NOUN
sc-589	182	34	.	.	PUNCT
sc-589	183	1	although	although	SCONJ
sc-589	183	2	only	only	ADV
sc-589	183	3	the	the	DET
sc-589	183	4	female	female	ADJ
sc-589	183	5	pima	pima	PROPN
sc-589	183	6	population	population	NOUN
sc-589	183	7	was	be	AUX
sc-589	183	8	used	use	VERB
sc-589	183	9	in	in	ADP
sc-589	183	10	this	this	DET
sc-589	183	11	dataset	dataset	NOUN
sc-589	183	12	,	,	PUNCT
sc-589	183	13	it	it	PRON
sc-589	183	14	can	can	AUX
sc-589	183	15	be	be	AUX
sc-589	183	16	scaled	scale	VERB
sc-589	183	17	to	to	ADP
sc-589	183	18	other	other	ADJ
sc-589	183	19	women	woman	NOUN
sc-589	183	20	around	around	ADP
sc-589	183	21	the	the	DET
sc-589	183	22	world	world	NOUN
sc-589	183	23	.	.	PUNCT
sc-589	184	1	with	with	ADP
sc-589	184	2	the	the	DET
sc-589	184	3	increase	increase	NOUN
sc-589	184	4	of	of	ADP
sc-589	184	5	developments	development	NOUN
sc-589	184	6	in	in	ADP
sc-589	184	7	this	this	DET
sc-589	184	8	field	field	NOUN
sc-589	184	9	,	,	PUNCT
sc-589	184	10	this	this	DET
sc-589	184	11	study	study	NOUN
sc-589	184	12	can	can	AUX
sc-589	184	13	contribute	contribute	VERB
sc-589	184	14	to	to	ADP
sc-589	184	15	healthy	healthy	ADJ
sc-589	184	16	smarter	smart	ADJ
sc-589	184	17	cities	city	NOUN
sc-589	184	18	.	.	PUNCT
sc-589	185	1	threats	threat	NOUN
sc-589	185	2	.	.	PUNCT
sc-589	186	1	the	the	DET
sc-589	186	2	most	most	ADV
sc-589	186	3	serious	serious	ADJ
sc-589	186	4	threat	threat	NOUN
sc-589	186	5	discovered	discover	VERB
sc-589	186	6	was	be	AUX
sc-589	186	7	the	the	DET
sc-589	186	8	unbalanced	unbalanced	ADJ
sc-589	186	9	and	and	CCONJ
sc-589	186	10	poorly	poorly	ADV
sc-589	186	11	-	-	PUNCT
sc-589	186	12	representative	representative	NOUN
sc-589	186	13	data	datum	NOUN
sc-589	186	14	.	.	PUNCT
sc-589	187	1	this	this	PRON
sc-589	187	2	can	can	AUX
sc-589	187	3	lead	lead	VERB
sc-589	187	4	to	to	ADP
sc-589	187	5	difficulties	difficulty	NOUN
sc-589	187	6	in	in	ADP
sc-589	187	7	fully	fully	ADV
sc-589	187	8	describing	describe	VERB
sc-589	187	9	the	the	DET
sc-589	187	10	problem	problem	NOUN
sc-589	187	11	in	in	ADP
sc-589	187	12	a	a	DET
sc-589	187	13	more	more	ADV
sc-589	187	14	global	global	ADJ
sc-589	187	15	approach	approach	NOUN
sc-589	187	16	.	.	PUNCT
sc-589	188	1	5	5	X
sc-589	188	2	.	.	X
sc-589	188	3	conclusions	conclusion	NOUN
sc-589	188	4	and	and	CCONJ
sc-589	188	5	future	future	ADJ
sc-589	188	6	work	work	NOUN
sc-589	188	7	the	the	DET
sc-589	188	8	goal	goal	NOUN
sc-589	188	9	of	of	ADP
sc-589	188	10	this	this	DET
sc-589	188	11	research	research	NOUN
sc-589	188	12	was	be	AUX
sc-589	188	13	to	to	PART
sc-589	188	14	contribute	contribute	VERB
sc-589	188	15	to	to	ADP
sc-589	188	16	the	the	DET
sc-589	188	17	scientific	scientific	ADJ
sc-589	188	18	progress	progress	NOUN
sc-589	188	19	of	of	ADP
sc-589	188	20	smart	smart	ADJ
sc-589	188	21	cities	city	NOUN
sc-589	188	22	,	,	PUNCT
sc-589	188	23	particularly	particularly	ADV
sc-589	188	24	smart	smart	ADJ
sc-589	188	25	health	health	NOUN
sc-589	188	26	,	,	PUNCT
sc-589	188	27	by	by	ADP
sc-589	188	28	developing	develop	VERB
sc-589	188	29	a	a	DET
sc-589	188	30	model	model	NOUN
sc-589	188	31	capable	capable	ADJ
sc-589	188	32	of	of	ADP
sc-589	188	33	predicting	predict	VERB
sc-589	188	34	whether	whether	SCONJ
sc-589	188	35	or	or	CCONJ
sc-589	188	36	not	not	PART
sc-589	188	37	a	a	DET
sc-589	188	38	person	person	NOUN
sc-589	188	39	,	,	PUNCT
sc-589	188	40	specifically	specifically	ADV
sc-589	188	41	a	a	DET
sc-589	188	42	pima	pima	PROPN
sc-589	188	43	indian	indian	ADJ
sc-589	188	44	woman	woman	NOUN
sc-589	188	45	,	,	PUNCT
sc-589	188	46	has	have	VERB
sc-589	188	47	diabetes	diabetes	NOUN
sc-589	188	48	.	.	PUNCT
sc-589	189	1	given	give	VERB
sc-589	189	2	the	the	DET
sc-589	189	3	dataset	dataset	NOUN
sc-589	189	4	,	,	PUNCT
sc-589	189	5	the	the	DET
sc-589	189	6	k	k	PROPN
sc-589	189	7	-	-	PUNCT
sc-589	189	8	nn	nn	ADJ
sc-589	189	9	model	model	NOUN
sc-589	189	10	using	use	VERB
sc-589	189	11	the	the	DET
sc-589	189	12	third	third	ADJ
sc-589	189	13	strategy	strategy	NOUN
sc-589	189	14	of	of	ADP
sc-589	189	15	data	datum	NOUN
sc-589	189	16	preparation	preparation	NOUN
sc-589	189	17	produced	produce	VERB
sc-589	189	18	satisfactory	satisfactory	ADJ
sc-589	189	19	results	result	NOUN
sc-589	189	20	while	while	SCONJ
sc-589	189	21	preserving	preserve	VERB
sc-589	189	22	an	an	DET
sc-589	189	23	accurate	accurate	ADJ
sc-589	189	24	depiction	depiction	NOUN
sc-589	189	25	of	of	ADP
sc-589	189	26	the	the	DET
sc-589	189	27	problem	problem	NOUN
sc-589	189	28	,	,	PUNCT
sc-589	189	29	with	with	ADP
sc-589	189	30	an	an	DET
sc-589	189	31	overall	overall	ADJ
sc-589	189	32	7	7	NUM
sc-589	189	33	eai	eai	NOUN
sc-589	189	34	endorsed	endorse	VERB
sc-589	189	35	transactions	transaction	NOUN
sc-589	189	36	on	on	ADP
sc-589	189	37	smart	smart	ADJ
sc-589	189	38	cities	city	NOUN
sc-589	189	39	03	03	NUM
sc-589	189	40	2022	2022	NUM
sc-589	189	41	09	09	NUM
sc-589	189	42	2022	2022	NUM
sc-589	189	43	|	|	ADV
sc-589	189	44	volume	volume	NOUN
sc-589	189	45	6	6	NUM
sc-589	189	46	|	|	NOUN
sc-589	189	47	issue	issue	NOUN
sc-589	189	48	18	18	NUM
sc-589	190	1	|	|	NOUN
sc-589	190	2	e1	e1	VERB
sc-589	190	3	hugo	hugo	PROPN
sc-589	190	4	peixoto	peixoto	PROPN
sc-589	190	5	et	et	PROPN
sc-589	190	6	al	al	PROPN
sc-589	190	7	.	.	PUNCT
sc-589	190	8	performance	performance	NOUN
sc-589	190	9	of	of	ADP
sc-589	190	10	92	92	NUM
sc-589	190	11	%	%	NOUN
sc-589	190	12	for	for	ADP
sc-589	190	13	accuracy	accuracy	NOUN
sc-589	190	14	,	,	PUNCT
sc-589	190	15	precision	precision	NOUN
sc-589	190	16	,	,	PUNCT
sc-589	190	17	recall	recall	NOUN
sc-589	190	18	,	,	PUNCT
sc-589	190	19	and	and	CCONJ
sc-589	190	20	f1	f1	PROPN
sc-589	190	21	score	score	NOUN
sc-589	190	22	.	.	PUNCT
sc-589	191	1	the	the	DET
sc-589	191	2	dataset	dataset	NOUN
sc-589	191	3	presented	present	VERB
sc-589	191	4	the	the	DET
sc-589	191	5	most	most	ADV
sc-589	191	6	significant	significant	ADJ
sc-589	191	7	challenges	challenge	NOUN
sc-589	191	8	in	in	ADP
sc-589	191	9	developing	develop	VERB
sc-589	191	10	a	a	DET
sc-589	191	11	successful	successful	ADJ
sc-589	191	12	model	model	NOUN
sc-589	191	13	:	:	PUNCT
sc-589	191	14	it	it	PRON
sc-589	191	15	had	have	VERB
sc-589	191	16	many	many	ADJ
sc-589	191	17	more	more	ADJ
sc-589	191	18	non	non	ADJ
sc-589	191	19	-	-	ADJ
sc-589	191	20	diabetic	diabetic	ADJ
sc-589	191	21	cases	case	NOUN
sc-589	191	22	than	than	ADP
sc-589	191	23	diabetes	diabetes	NOUN
sc-589	191	24	patients	patient	NOUN
sc-589	191	25	,	,	PUNCT
sc-589	191	26	as	as	ADV
sc-589	191	27	well	well	ADV
sc-589	191	28	as	as	ADP
sc-589	191	29	a	a	DET
sc-589	191	30	substantial	substantial	ADJ
sc-589	191	31	number	number	NOUN
sc-589	191	32	of	of	ADP
sc-589	191	33	missing	miss	VERB
sc-589	191	34	variables	variable	NOUN
sc-589	191	35	.	.	PUNCT
sc-589	192	1	furthermore	furthermore	ADV
sc-589	192	2	,	,	PUNCT
sc-589	192	3	the	the	DET
sc-589	192	4	results	result	NOUN
sc-589	192	5	although	although	SCONJ
sc-589	192	6	based	base	VERB
sc-589	192	7	on	on	ADP
sc-589	192	8	a	a	DET
sc-589	192	9	highly	highly	ADV
sc-589	192	10	specific	specific	ADJ
sc-589	192	11	dataset	dataset	NOUN
sc-589	192	12	are	be	AUX
sc-589	192	13	a	a	DET
sc-589	192	14	substantial	substantial	ADJ
sc-589	192	15	indicator	indicator	NOUN
sc-589	192	16	of	of	ADP
sc-589	192	17	the	the	DET
sc-589	192	18	reasonableness	reasonableness	NOUN
sc-589	192	19	of	of	ADP
sc-589	192	20	a	a	DET
sc-589	192	21	faster	fast	ADJ
sc-589	192	22	,	,	PUNCT
sc-589	192	23	smarter	smart	ADJ
sc-589	192	24	diabetes	diabetes	NOUN
sc-589	192	25	diagnostic	diagnostic	ADJ
sc-589	192	26	with	with	ADP
sc-589	192	27	the	the	DET
sc-589	192	28	help	help	NOUN
sc-589	192	29	of	of	ADP
sc-589	192	30	data	datum	NOUN
sc-589	192	31	mining	mining	NOUN
sc-589	192	32	processes	process	NOUN
sc-589	192	33	and	and	CCONJ
sc-589	192	34	techniques	technique	NOUN
sc-589	192	35	,	,	PUNCT
sc-589	192	36	which	which	PRON
sc-589	192	37	will	will	AUX
sc-589	192	38	positively	positively	ADV
sc-589	192	39	contribute	contribute	VERB
sc-589	192	40	to	to	ADP
sc-589	192	41	earlier	early	ADJ
sc-589	192	42	diagnosis	diagnosis	NOUN
sc-589	192	43	,	,	PUNCT
sc-589	192	44	resulting	result	VERB
sc-589	192	45	in	in	ADP
sc-589	192	46	an	an	DET
sc-589	192	47	improvement	improvement	NOUN
sc-589	192	48	of	of	ADP
sc-589	192	49	the	the	DET
sc-589	192	50	lives	life	NOUN
sc-589	192	51	of	of	ADP
sc-589	192	52	the	the	DET
sc-589	192	53	population	population	NOUN
sc-589	192	54	affected	affect	VERB
sc-589	192	55	by	by	ADP
sc-589	192	56	this	this	DET
sc-589	192	57	disease	disease	NOUN
sc-589	192	58	.	.	PUNCT
sc-589	193	1	finally	finally	ADV
sc-589	193	2	,	,	PUNCT
sc-589	193	3	the	the	DET
sc-589	193	4	work	work	NOUN
sc-589	193	5	more	more	ADV
sc-589	193	6	prone	prone	ADJ
sc-589	193	7	to	to	ADP
sc-589	193	8	future	future	ADJ
sc-589	193	9	improvement	improvement	NOUN
sc-589	193	10	is	be	AUX
sc-589	193	11	the	the	DET
sc-589	193	12	research	research	NOUN
sc-589	193	13	and	and	CCONJ
sc-589	193	14	experimentation	experimentation	NOUN
sc-589	193	15	of	of	ADP
sc-589	193	16	more	more	ADV
sc-589	193	17	complex	complex	ADJ
sc-589	193	18	and	and	CCONJ
sc-589	193	19	sophisticated	sophisticated	ADJ
sc-589	193	20	oversampling	oversample	VERB
sc-589	193	21	techniques	technique	NOUN
sc-589	193	22	to	to	PART
sc-589	193	23	produce	produce	VERB
sc-589	193	24	synthetic	synthetic	ADJ
sc-589	193	25	data	datum	NOUN
sc-589	193	26	instead	instead	ADV
sc-589	193	27	of	of	ADP
sc-589	193	28	replicating	replicate	VERB
sc-589	193	29	the	the	DET
sc-589	193	30	existing	exist	VERB
sc-589	193	31	data	datum	NOUN
sc-589	193	32	and	and	CCONJ
sc-589	193	33	the	the	DET
sc-589	193	34	a	a	DET
sc-589	193	35	thorough	thorough	ADJ
sc-589	193	36	study	study	NOUN
sc-589	193	37	on	on	ADP
sc-589	193	38	how	how	SCONJ
sc-589	193	39	the	the	DET
sc-589	193	40	obtained	obtain	VERB
sc-589	193	41	knn	knn	PROPN
sc-589	193	42	model	model	PROPN
sc-589	193	43	behaves	behave	VERB
sc-589	193	44	with	with	ADP
sc-589	193	45	other	other	ADJ
sc-589	193	46	datasets	dataset	NOUN
sc-589	193	47	that	that	PRON
sc-589	193	48	represent	represent	VERB
sc-589	193	49	the	the	DET
sc-589	193	50	same	same	ADJ
sc-589	193	51	problem	problem	NOUN
sc-589	193	52	,	,	PUNCT
sc-589	193	53	i.e.	i.e.	X
sc-589	193	54	,	,	PUNCT
sc-589	193	55	instead	instead	ADV
sc-589	193	56	of	of	ADP
sc-589	193	57	focusing	focus	VERB
sc-589	193	58	on	on	ADP
sc-589	193	59	a	a	DET
sc-589	193	60	small	small	ADJ
sc-589	193	61	group	group	NOUN
sc-589	193	62	of	of	ADP
sc-589	193	63	people	people	NOUN
sc-589	193	64	,	,	PUNCT
sc-589	193	65	diabetes	diabetes	NOUN
sc-589	193	66	occurrence	occurrence	NOUN
sc-589	193	67	is	be	AUX
sc-589	193	68	identified	identify	VERB
sc-589	193	69	and	and	CCONJ
sc-589	193	70	classified	classify	VERB
sc-589	193	71	across	across	ADP
sc-589	193	72	the	the	DET
sc-589	193	73	entire	entire	ADJ
sc-589	193	74	population	population	NOUN
sc-589	193	75	,	,	PUNCT
sc-589	193	76	or	or	CCONJ
sc-589	193	77	at	at	ADP
sc-589	193	78	least	least	ADJ
sc-589	193	79	a	a	DET
sc-589	193	80	more	more	ADV
sc-589	193	81	general	general	ADJ
sc-589	193	82	population	population	NOUN
sc-589	193	83	.	.	PUNCT
sc-589	194	1	acknowledgement	acknowledgement	NOUN
sc-589	194	2	.	.	PUNCT
sc-589	195	1	this	this	DET
sc-589	195	2	work	work	NOUN
sc-589	195	3	is	be	AUX
sc-589	195	4	funded	fund	VERB
sc-589	195	5	by	by	ADP
sc-589	195	6	“	"	PUNCT
sc-589	195	7	fct	fct	NOUN
sc-589	195	8	—	—	PUNCT
sc-589	195	9	fundação	fundação	NOUN
sc-589	195	10	para	para	NOUN
sc-589	195	11	a	a	DET
sc-589	195	12	ciência	ciência	PROPN
sc-589	195	13	e	e	X
sc-589	195	14	tecnologia	tecnologia	NOUN
sc-589	195	15	”	"	PUNCT
sc-589	195	16	within	within	ADP
sc-589	195	17	the	the	DET
sc-589	195	18	r&d	r&d	NOUN
sc-589	195	19	units	unit	NOUN
sc-589	195	20	project	project	NOUN
sc-589	195	21	scope	scope	NOUN
sc-589	195	22	:	:	PUNCT
sc-589	195	23	uidb/00319/2020	uidb/00319/2020	X
sc-589	195	24	.	.	PUNCT
sc-589	196	1	the	the	DET
sc-589	196	2	grant	grant	NOUN
sc-589	196	3	of	of	ADP
sc-589	196	4	vasco	vasco	PROPN
sc-589	196	5	ramos	ramos	PROPN
sc-589	196	6	is	be	AUX
sc-589	196	7	supported	support	VERB
sc-589	196	8	by	by	ADP
sc-589	196	9	the	the	DET
sc-589	196	10	project	project	NOUN
sc-589	196	11	“	"	PUNCT
sc-589	196	12	integrated	integrated	ADJ
sc-589	196	13	and	and	CCONJ
sc-589	196	14	innovative	innovative	ADJ
sc-589	196	15	solutions	solution	NOUN
sc-589	196	16	for	for	ADP
sc-589	196	17	the	the	DET
sc-589	196	18	well	well	ADV
sc-589	196	19	-	-	PUNCT
sc-589	196	20	being	being	NOUN
sc-589	196	21	of	of	ADP
sc-589	196	22	people	people	NOUN
sc-589	196	23	in	in	ADP
sc-589	196	24	complex	complex	ADJ
sc-589	196	25	urban	urban	ADJ
sc-589	196	26	centers	center	NOUN
sc-589	196	27	”	"	PUNCT
sc-589	196	28	within	within	ADP
sc-589	196	29	the	the	DET
sc-589	196	30	project	project	NOUN
sc-589	196	31	scope	scope	NOUN
sc-589	196	32	norte-01	norte-01	NOUN
sc-589	196	33	-	-	PUNCT
sc-589	196	34	0145	0145	NUM
sc-589	196	35	-	-	PUNCT
sc-589	196	36	feder000086	feder000086	PROPN
sc-589	196	37	.	.	PUNCT
sc-589	197	1	references	reference	NOUN
sc-589	197	2	[	[	X
sc-589	197	3	1	1	NUM
sc-589	197	4	]	]	PUNCT
sc-589	197	5	zota	zota	NOUN
sc-589	197	6	,	,	PUNCT
sc-589	197	7	r.d	r.d	PROPN
sc-589	197	8	.	.	PROPN
sc-589	197	9	and	and	CCONJ
sc-589	197	10	clim	clim	PROPN
sc-589	197	11	,	,	PUNCT
sc-589	197	12	a.	a.	NOUN
sc-589	197	13	(	(	PUNCT
sc-589	197	14	2019	2019	NUM
sc-589	197	15	)	)	PUNCT
sc-589	197	16	smart	smart	ADJ
sc-589	197	17	healthcare	healthcare	NOUN
sc-589	197	18	for	for	ADP
sc-589	197	19	smart	smart	ADJ
sc-589	197	20	cities	city	NOUN
sc-589	197	21	doi:10.13140	doi:10.13140	ADJ
sc-589	197	22	/	/	SYM
sc-589	197	23	rg.2.2.26449.89446	rg.2.2.26449.89446	NOUN
sc-589	197	24	.	.	PUNCT
sc-589	198	1	[	[	X
sc-589	198	2	2	2	NUM
sc-589	198	3	]	]	X
sc-589	198	4	ghosh	ghosh	PROPN
sc-589	198	5	,	,	PUNCT
sc-589	198	6	r.	r.	PROPN
sc-589	198	7	and	and	CCONJ
sc-589	198	8	kumar	kumar	PROPN
sc-589	198	9	,	,	PUNCT
sc-589	198	10	s.	s.	PROPN
sc-589	198	11	(	(	PUNCT
sc-589	198	12	2020	2020	NUM
sc-589	198	13	)	)	PUNCT
sc-589	198	14	mobile	mobile	ADJ
sc-589	198	15	health	health	NOUN
sc-589	198	16	applications	application	NOUN
sc-589	198	17	during	during	ADP
sc-589	198	18	epidemic	epidemic	NOUN
sc-589	198	19	management	management	NOUN
sc-589	198	20	in	in	ADP
sc-589	198	21	india	india	PROPN
sc-589	198	22	:	:	PUNCT
sc-589	198	23	a	a	DET
sc-589	198	24	review	review	NOUN
sc-589	198	25	.	.	PUNCT
sc-589	199	1	eai	eai	PROPN
sc-589	199	2	endorsed	endorse	VERB
sc-589	199	3	transactions	transaction	NOUN
sc-589	199	4	on	on	ADP
sc-589	199	5	smart	smart	ADJ
sc-589	199	6	cities	city	NOUN
sc-589	199	7	5	5	NUM
sc-589	199	8	.	.	PUNCT
sc-589	199	9	doi:10.4108	doi:10.4108	PROPN
sc-589	199	10	/	/	SYM
sc-589	199	11	eai.5	eai.5	PROPN
sc-589	199	12	-	-	PUNCT
sc-589	199	13	10	10	NUM
sc-589	199	14	-	-	PUNCT
sc-589	199	15	2020.166546	2020.166546	NUM
sc-589	199	16	.	.	PUNCT
sc-589	200	1	[	[	X
sc-589	200	2	3	3	NUM
sc-589	200	3	]	]	X
sc-589	200	4	antunes	antunes	PROPN
sc-589	200	5	,	,	PUNCT
sc-589	200	6	m.e	m.e	PROPN
sc-589	200	7	.	.	PROPN
sc-589	200	8	,	,	PUNCT
sc-589	200	9	barroca	barroca	NOUN
sc-589	200	10	,	,	PUNCT
sc-589	200	11	j.g	j.g	PROPN
sc-589	200	12	.	.	PROPN
sc-589	200	13	and	and	CCONJ
sc-589	200	14	de	de	PROPN
sc-589	200	15	oliveira	oliveira	PROPN
sc-589	200	16	,	,	PUNCT
sc-589	200	17	d.g	d.g	PROPN
sc-589	200	18	.	.	PROPN
sc-589	200	19	(	(	PUNCT
sc-589	200	20	2021	2021	NUM
sc-589	200	21	)	)	PUNCT
sc-589	200	22	urban	urban	ADJ
sc-589	200	23	future	future	NOUN
sc-589	200	24	with	with	ADP
sc-589	200	25	a	a	DET
sc-589	200	26	purpose	purpose	NOUN
sc-589	200	27	:	:	PUNCT
sc-589	200	28	12	12	NUM
sc-589	200	29	trends	trend	NOUN
sc-589	200	30	shaping	shape	VERB
sc-589	200	31	the	the	DET
sc-589	200	32	future	future	NOUN
sc-589	200	33	of	of	ADP
sc-589	200	34	cities	city	NOUN
sc-589	200	35	.	.	PUNCT
sc-589	201	1	tech	tech	NOUN
sc-589	201	2	.	.	PUNCT
sc-589	202	1	rep	rep	PROPN
sc-589	202	2	.	.	PROPN
sc-589	202	3	,	,	PUNCT
sc-589	202	4	deloitte	deloitte	PROPN
sc-589	202	5	.	.	PUNCT
sc-589	203	1	[	[	X
sc-589	203	2	4	4	X
sc-589	203	3	]	]	X
sc-589	203	4	carolina	carolina	PROPN
sc-589	203	5	marques	marques	PROPN
sc-589	203	6	,	,	PUNCT
sc-589	203	7	vasco	vasco	PROPN
sc-589	203	8	ramos	ramos	PROPN
sc-589	203	9	,	,	PUNCT
sc-589	203	10	h.p	h.p	PROPN
sc-589	203	11	.	.	PROPN
sc-589	203	12	and	and	CCONJ
sc-589	203	13	machado	machado	PROPN
sc-589	203	14	,	,	PUNCT
sc-589	203	15	j.	j.	PROPN
sc-589	203	16	(	(	PUNCT
sc-589	203	17	2021	2021	NUM
sc-589	203	18	)	)	PUNCT
sc-589	203	19	predicting	predict	VERB
sc-589	203	20	diabetes	diabetes	NOUN
sc-589	203	21	disease	disease	NOUN
sc-589	203	22	in	in	ADP
sc-589	203	23	the	the	DET
sc-589	203	24	female	female	ADJ
sc-589	203	25	adult	adult	NOUN
sc-589	203	26	population	population	NOUN
sc-589	203	27	.	.	PUNCT
sc-589	204	1	in	in	ADP
sc-589	204	2	proceedings	proceeding	NOUN
sc-589	204	3	of	of	ADP
sc-589	204	4	the	the	DET
sc-589	204	5	8th	8th	ADJ
sc-589	204	6	eai	eai	PROPN
sc-589	204	7	international	international	ADJ
sc-589	204	8	conference	conference	NOUN
sc-589	204	9	on	on	ADP
sc-589	204	10	iot	iot	NOUN
sc-589	204	11	technologies	technology	NOUN
sc-589	204	12	for	for	ADP
sc-589	204	13	healthcare	healthcare	NOUN
sc-589	204	14	(	(	PUNCT
sc-589	204	15	springer	springer	NOUN
sc-589	204	16	international	international	ADJ
sc-589	204	17	publishing	publishing	NOUN
sc-589	204	18	)	)	PUNCT
sc-589	204	19	.	.	PUNCT
sc-589	205	1	in	in	ADP
sc-589	205	2	press	press	NOUN
sc-589	205	3	.	.	PUNCT
sc-589	206	1	[	[	X
sc-589	206	2	5	5	NUM
sc-589	206	3	]	]	SYM
sc-589	206	4	rocha	rocha	PROPN
sc-589	206	5	,	,	PUNCT
sc-589	206	6	n.p	n.p	PROPN
sc-589	206	7	.	.	PROPN
sc-589	206	8	,	,	PUNCT
sc-589	206	9	dias	dias	PROPN
sc-589	206	10	,	,	PUNCT
sc-589	206	11	a.	a.	NOUN
sc-589	206	12	,	,	PUNCT
sc-589	206	13	santinha	santinha	NOUN
sc-589	206	14	,	,	PUNCT
sc-589	206	15	g.	g.	PROPN
sc-589	206	16	,	,	PUNCT
sc-589	206	17	rodrigues	rodrigues	PROPN
sc-589	206	18	,	,	PUNCT
sc-589	206	19	m.	m.	NOUN
sc-589	206	20	,	,	PUNCT
sc-589	206	21	queirós	queirós	INTJ
sc-589	206	22	,	,	PUNCT
sc-589	206	23	a.	a.	NOUN
sc-589	206	24	and	and	CCONJ
sc-589	206	25	rodrigues	rodrigues	PROPN
sc-589	206	26	,	,	PUNCT
sc-589	206	27	c.	c.	PROPN
sc-589	206	28	(	(	PUNCT
sc-589	206	29	2019	2019	NUM
sc-589	206	30	)	)	PUNCT
sc-589	206	31	smart	smart	ADJ
sc-589	206	32	cities	city	NOUN
sc-589	206	33	and	and	CCONJ
sc-589	206	34	public	public	ADJ
sc-589	206	35	health	health	NOUN
sc-589	206	36	:	:	PUNCT
sc-589	206	37	a	a	DET
sc-589	206	38	systematic	systematic	ADJ
sc-589	206	39	review	review	NOUN
sc-589	206	40	.	.	PUNCT
sc-589	207	1	procedia	procedia	PROPN
sc-589	207	2	computer	computer	NOUN
sc-589	207	3	science	science	NOUN
sc-589	207	4	164	164	NUM
sc-589	207	5	:	:	PUNCT
sc-589	207	6	516–523	516–523	NUM
sc-589	207	7	.	.	PUNCT
sc-589	208	1	doi:10.1016	doi:10.1016	PROPN
sc-589	208	2	/	/	SYM
sc-589	208	3	j.procs.2019.12.214	j.procs.2019.12.214	PROPN
sc-589	208	4	.	.	PUNCT
sc-589	209	1	[	[	X
sc-589	209	2	6	6	NUM
sc-589	209	3	]	]	PUNCT
sc-589	209	4	(	(	PUNCT
sc-589	209	5	2017	2017	NUM
sc-589	209	6	)	)	PUNCT
sc-589	209	7	,	,	PUNCT
sc-589	209	8	smart	smart	ADJ
sc-589	209	9	cities	city	NOUN
sc-589	209	10	.	.	PUNCT
sc-589	210	1	url	url	PROPN
sc-589	210	2	https://ec.europa.eu/	https://ec.europa.eu/	PROPN
sc-589	210	3	info	info	NOUN
sc-589	210	4	/	/	SYM
sc-589	210	5	eu	eu	ADJ
sc-589	210	6	-	-	ADJ
sc-589	210	7	regional	regional	ADJ
sc-589	210	8	-	-	PUNCT
sc-589	210	9	and	and	CCONJ
sc-589	210	10	-	-	PUNCT
sc-589	210	11	urban	urban	ADJ
sc-589	210	12	-	-	PUNCT
sc-589	210	13	development	development	NOUN
sc-589	210	14	/	/	SYM
sc-589	210	15	topics/	topics/	NUM
sc-589	210	16	cities	city	NOUN
sc-589	210	17	-	-	PUNCT
sc-589	210	18	and	and	CCONJ
sc-589	210	19	-	-	PUNCT
sc-589	210	20	urban	urban	ADJ
sc-589	210	21	-	-	PUNCT
sc-589	210	22	development	development	NOUN
sc-589	210	23	/	/	SYM
sc-589	210	24	city	city	NOUN
sc-589	210	25	-	-	PUNCT
sc-589	210	26	initiatives/	initiatives/	NUM
sc-589	210	27	smart	smart	ADJ
sc-589	210	28	-	-	PUNCT
sc-589	210	29	cities_en	cities_en	NOUN
sc-589	210	30	.	.	PUNCT
sc-589	211	1	last	last	ADJ
sc-589	211	2	accessed	access	VERB
sc-589	211	3	:	:	PUNCT
sc-589	211	4	2022	2022	NUM
sc-589	211	5	-	-	SYM
sc-589	211	6	03	03	NUM
sc-589	211	7	-	-	PUNCT
sc-589	211	8	07	07	NUM
sc-589	211	9	.	.	PUNCT
sc-589	212	1	[	[	X
sc-589	212	2	7	7	X
sc-589	212	3	]	]	X
sc-589	212	4	what	what	PRON
sc-589	212	5	is	be	AUX
sc-589	212	6	a	a	DET
sc-589	212	7	smart	smart	ADJ
sc-589	212	8	city	city	NOUN
sc-589	212	9	?	?	PUNCT
sc-589	213	1	url	url	PROPN
sc-589	213	2	https	https	NOUN
sc-589	213	3	:	:	PUNCT
sc-589	213	4	//www.cisco.com	//www.cisco.com	PUNCT
sc-589	213	5	/	/	SYM
sc-589	214	1	c	c	X
sc-589	214	2	/	/	SYM
sc-589	214	3	en	en	NOUN
sc-589	214	4	/	/	SYM
sc-589	214	5	us	us	PROPN
sc-589	214	6	/	/	SYM
sc-589	214	7	solutions/	solutions/	NUM
sc-589	214	8	industries	industry	NOUN
sc-589	214	9	/	/	SYM
sc-589	214	10	smart	smart	ADJ
sc-589	214	11	-	-	PUNCT
sc-589	214	12	connected	connect	VERB
sc-589	214	13	-	-	PUNCT
sc-589	214	14	communities/	communities/	NUM
sc-589	214	15	what-is-a-smart-city.html	what-is-a-smart-city.html	PROPN
sc-589	214	16	.	.	PUNCT
sc-589	215	1	last	last	ADJ
sc-589	215	2	accessed	access	VERB
sc-589	215	3	:	:	PUNCT
sc-589	215	4	202203	202203	NUM
sc-589	215	5	-	-	SYM
sc-589	215	6	07	07	NUM
sc-589	215	7	.	.	PUNCT
sc-589	216	1	[	[	X
sc-589	216	2	8	8	NUM
sc-589	216	3	]	]	X
sc-589	216	4	jain	jain	PROPN
sc-589	216	5	,	,	PUNCT
sc-589	216	6	r.	r.	PROPN
sc-589	216	7	,	,	PUNCT
sc-589	216	8	chotani	chotani	PROPN
sc-589	216	9	,	,	PUNCT
sc-589	216	10	a.	a.	NOUN
sc-589	216	11	and	and	CCONJ
sc-589	216	12	anuradha	anuradha	PROPN
sc-589	216	13	,	,	PUNCT
sc-589	216	14	g.	g.	PROPN
sc-589	216	15	(	(	PUNCT
sc-589	216	16	2021	2021	NUM
sc-589	216	17	)	)	PUNCT
sc-589	216	18	disease	disease	NOUN
sc-589	216	19	diagnosis	diagnosis	NOUN
sc-589	216	20	using	use	VERB
sc-589	216	21	machine	machine	NOUN
sc-589	216	22	learning	learning	NOUN
sc-589	216	23	:	:	PUNCT
sc-589	216	24	a	a	DET
sc-589	216	25	comparative	comparative	ADJ
sc-589	216	26	study	study	NOUN
sc-589	216	27	.	.	PUNCT
sc-589	217	1	in	in	ADP
sc-589	217	2	lee	lee	PROPN
sc-589	217	3	,	,	PUNCT
sc-589	217	4	k.c	k.c	PROPN
sc-589	217	5	.	.	PROPN
sc-589	217	6	,	,	PUNCT
sc-589	217	7	roy	roy	PROPN
sc-589	217	8	,	,	PUNCT
sc-589	217	9	s.s	s.s	PROPN
sc-589	217	10	.	.	PROPN
sc-589	217	11	,	,	PUNCT
sc-589	217	12	samui	samui	PROPN
sc-589	217	13	,	,	PUNCT
sc-589	217	14	p.	p.	NOUN
sc-589	217	15	and	and	CCONJ
sc-589	217	16	kumar	kumar	PROPN
sc-589	217	17	,	,	PUNCT
sc-589	217	18	v.	v.	PROPN
sc-589	218	1	[	[	X
sc-589	218	2	eds	ed	NOUN
sc-589	218	3	.	.	PUNCT
sc-589	218	4	]	]	PUNCT
sc-589	219	1	data	datum	NOUN
sc-589	219	2	analytics	analytic	NOUN
sc-589	219	3	in	in	ADP
sc-589	219	4	biomedical	biomedical	ADJ
sc-589	219	5	engineering	engineering	NOUN
sc-589	219	6	and	and	CCONJ
sc-589	219	7	healthcare	healthcare	PROPN
sc-589	219	8	(	(	PUNCT
sc-589	219	9	academic	academic	ADJ
sc-589	219	10	press	press	NOUN
sc-589	219	11	)	)	PUNCT
sc-589	219	12	,	,	PUNCT
sc-589	219	13	145–161	145–161	NUM
sc-589	219	14	.	.	PUNCT
sc-589	220	1	doi:10.1016	doi:10.1016	PROPN
sc-589	220	2	/	/	SYM
sc-589	220	3	b978	b978	PROPN
sc-589	220	4	-	-	PUNCT
sc-589	220	5	0	0	NUM
sc-589	220	6	-	-	PUNCT
sc-589	220	7	12819314	12819314	NUM
sc-589	220	8	-	-	PUNCT
sc-589	220	9	3.00010	3.00010	NUM
sc-589	220	10	-	-	SYM
sc-589	220	11	0	0	NUM
sc-589	220	12	.	.	PUNCT
sc-589	221	1	[	[	X
sc-589	221	2	9	9	NUM
sc-589	221	3	]	]	X
sc-589	221	4	singh	singh	PROPN
sc-589	221	5	,	,	PUNCT
sc-589	221	6	p.	p.	PROPN
sc-589	221	7	,	,	PUNCT
sc-589	221	8	singh	singh	PROPN
sc-589	221	9	,	,	PUNCT
sc-589	221	10	n.	n.	NOUN
sc-589	221	11	,	,	PUNCT
sc-589	221	12	singh	singh	PROPN
sc-589	221	13	,	,	PUNCT
sc-589	221	14	k.k	k.k	PROPN
sc-589	221	15	.	.	PROPN
sc-589	221	16	and	and	CCONJ
sc-589	221	17	singh	singh	PROPN
sc-589	221	18	,	,	PUNCT
sc-589	221	19	a.	a.	NOUN
sc-589	221	20	(	(	PUNCT
sc-589	221	21	2021	2021	NUM
sc-589	221	22	)	)	PUNCT
sc-589	221	23	diagnosing	diagnosing	NOUN
sc-589	221	24	of	of	ADP
sc-589	221	25	disease	disease	NOUN
sc-589	221	26	using	use	VERB
sc-589	221	27	machine	machine	NOUN
sc-589	221	28	learning	learning	NOUN
sc-589	221	29	.	.	PUNCT
sc-589	222	1	in	in	ADP
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sc-589	222	3	,	,	PUNCT
sc-589	222	4	k.k	k.k	PROPN
sc-589	222	5	.	.	PROPN
sc-589	222	6	,	,	PUNCT
sc-589	222	7	elhoseny	elhoseny	PROPN
sc-589	222	8	,	,	PUNCT
sc-589	222	9	m.	m.	NOUN
sc-589	222	10	,	,	PUNCT
sc-589	222	11	singh	singh	PROPN
sc-589	222	12	,	,	PUNCT
sc-589	222	13	a.	a.	NOUN
sc-589	222	14	and	and	CCONJ
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sc-589	222	16	,	,	PUNCT
sc-589	222	17	a.a	a.a	PROPN
sc-589	222	18	.	.	PROPN
sc-589	223	1	[	[	X
sc-589	223	2	eds	ed	NOUN
sc-589	223	3	.	.	PUNCT
sc-589	223	4	]	]	PUNCT
sc-589	223	5	machine	machine	NOUN
sc-589	223	6	learning	learning	NOUN
sc-589	223	7	and	and	CCONJ
sc-589	223	8	the	the	DET
sc-589	223	9	internet	internet	NOUN
sc-589	223	10	of	of	ADP
sc-589	223	11	medical	medical	ADJ
sc-589	223	12	things	thing	NOUN
sc-589	223	13	in	in	ADP
sc-589	223	14	healthcare	healthcare	NOUN
sc-589	223	15	(	(	PUNCT
sc-589	223	16	academic	academic	ADJ
sc-589	223	17	press	press	NOUN
sc-589	223	18	)	)	PUNCT
sc-589	223	19	,	,	PUNCT
sc-589	223	20	89–111	89–111	NUM
sc-589	223	21	.	.	PUNCT
sc-589	224	1	doi:10.1016	doi:10.1016	PROPN
sc-589	224	2	/	/	SYM
sc-589	224	3	b9780	b9780	PROPN
sc-589	224	4	-	-	PUNCT
sc-589	224	5	12	12	NUM
sc-589	224	6	-	-	PUNCT
sc-589	224	7	821229	821229	NUM
sc-589	224	8	-	-	SYM
sc-589	224	9	5.00003	5.00003	NUM
sc-589	224	10	-	-	SYM
sc-589	224	11	3	3	NUM
sc-589	224	12	.	.	PUNCT
sc-589	225	1	[	[	X
sc-589	225	2	10	10	NUM
sc-589	225	3	]	]	X
sc-589	225	4	organization	organization	NOUN
sc-589	225	5	,	,	PUNCT
sc-589	225	6	w.h	w.h	PROPN
sc-589	225	7	.	.	PROPN
sc-589	225	8	,	,	PUNCT
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sc-589	225	10	fact	fact	NOUN
sc-589	225	11	sheet	sheet	NOUN
sc-589	225	12	,	,	PUNCT
sc-589	225	13	https://www.who.int/en/news-room/fact-sheets/	https://www.who.int/en/news-room/fact-sheets/	NOUN
sc-589	225	14	detail	detail	NOUN
sc-589	225	15	/	/	SYM
sc-589	225	16	diabetes	diabetes	NOUN
sc-589	225	17	.	.	PUNCT
sc-589	226	1	last	last	ADJ
sc-589	226	2	accessed	access	VERB
sc-589	226	3	:	:	PUNCT
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sc-589	226	5	-	-	SYM
sc-589	226	6	06	06	NUM
sc-589	226	7	-	-	PUNCT
sc-589	226	8	05	05	NUM
sc-589	226	9	.	.	PUNCT
sc-589	227	1	[	[	X
sc-589	227	2	11	11	NUM
sc-589	227	3	]	]	PUNCT
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sc-589	227	5	,	,	PUNCT
sc-589	227	6	a.a	a.a	PROPN
sc-589	227	7	.	.	PROPN
sc-589	227	8	,	,	PUNCT
sc-589	227	9	ahamad	ahamad	PROPN
sc-589	227	10	,	,	PUNCT
sc-589	227	11	m.g	m.g	PROPN
sc-589	227	12	.	.	PROPN
sc-589	227	13	and	and	CCONJ
sc-589	227	14	siddiqui	siddiqui	PROPN
sc-589	227	15	,	,	PUNCT
sc-589	227	16	m.k	m.k	PROPN
sc-589	227	17	.	.	PUNCT
sc-589	227	18	(	(	PUNCT
sc-589	227	19	2013	2013	NUM
sc-589	227	20	)	)	PUNCT
sc-589	227	21	application	application	NOUN
sc-589	227	22	of	of	ADP
sc-589	227	23	data	datum	NOUN
sc-589	227	24	mining	mining	NOUN
sc-589	227	25	:	:	PUNCT
sc-589	227	26	diabetes	diabete	VERB
sc-589	227	27	health	health	NOUN
sc-589	227	28	care	care	NOUN
sc-589	227	29	in	in	ADP
sc-589	227	30	young	young	ADJ
sc-589	227	31	and	and	CCONJ
sc-589	227	32	old	old	ADJ
sc-589	227	33	patients	patient	NOUN
sc-589	227	34	.	.	PUNCT
sc-589	228	1	journal	journal	NOUN
sc-589	228	2	of	of	ADP
sc-589	228	3	king	king	PROPN
sc-589	228	4	saud	saud	PROPN
sc-589	228	5	university	university	PROPN
sc-589	228	6	computer	computer	NOUN
sc-589	228	7	and	and	CCONJ
sc-589	228	8	information	information	NOUN
sc-589	228	9	sciences	sciences	PROPN
sc-589	228	10	25(2	25(2	NUM
sc-589	228	11	):	):	PUNCT
sc-589	228	12	127–136	127–136	NUM
sc-589	228	13	.	.	PUNCT
sc-589	229	1	doi:10.1016	doi:10.1016	PROPN
sc-589	229	2	/	/	SYM
sc-589	229	3	j.jksuci.2012.10.003	j.jksuci.2012.10.003	PROPN
sc-589	229	4	,	,	PUNCT
sc-589	229	5	url	url	NOUN
sc-589	229	6	https://www.sciencedirect.com/science/article/	https://www.sciencedirect.com/science/article/	PROPN
sc-589	229	7	pii	pii	PROPN
sc-589	229	8	/	/	SYM
sc-589	229	9	s1319157812000390	s1319157812000390	NOUN
sc-589	229	10	.	.	PUNCT
sc-589	230	1	[	[	X
sc-589	230	2	12	12	NUM
sc-589	230	3	]	]	PUNCT
sc-589	230	4	witten	witten	PROPN
sc-589	230	5	,	,	PUNCT
sc-589	230	6	i.h	i.h	PROPN
sc-589	230	7	.	.	PROPN
sc-589	230	8	,	,	PUNCT
sc-589	230	9	frank	frank	PROPN
sc-589	230	10	,	,	PUNCT
sc-589	230	11	e.	e.	PROPN
sc-589	230	12	and	and	CCONJ
sc-589	230	13	hall	hall	PROPN
sc-589	230	14	,	,	PUNCT
sc-589	230	15	m.a	m.a	PROPN
sc-589	230	16	.	.	PROPN
sc-589	230	17	(	(	PUNCT
sc-589	230	18	2011	2011	NUM
sc-589	230	19	)	)	PUNCT
sc-589	230	20	chapter	chapter	NOUN
sc-589	230	21	1	1	NUM
sc-589	231	1	what	what	PRON
sc-589	231	2	’s	’	VERB
sc-589	231	3	it	it	PRON
sc-589	231	4	all	all	PRON
sc-589	231	5	about	about	ADP
sc-589	231	6	?	?	PUNCT
sc-589	232	1	in	in	ADP
sc-589	232	2	witten	witten	PROPN
sc-589	232	3	,	,	PUNCT
sc-589	232	4	i.h	i.h	PROPN
sc-589	232	5	.	.	PROPN
sc-589	232	6	,	,	PUNCT
sc-589	232	7	frank	frank	PROPN
sc-589	232	8	,	,	PUNCT
sc-589	232	9	e.	e.	PROPN
sc-589	232	10	and	and	CCONJ
sc-589	232	11	hall	hall	PROPN
sc-589	232	12	,	,	PUNCT
sc-589	232	13	m.a	m.a	PROPN
sc-589	232	14	.	.	PUNCT
sc-589	233	1	[	[	X
sc-589	233	2	eds	ed	NOUN
sc-589	233	3	.	.	PUNCT
sc-589	233	4	]	]	PUNCT
sc-589	233	5	data	data	PROPN
sc-589	233	6	mining	mining	NOUN
sc-589	233	7	:	:	PUNCT
sc-589	233	8	practical	practical	ADJ
sc-589	233	9	machine	machine	NOUN
sc-589	233	10	learning	learning	NOUN
sc-589	233	11	tools	tool	NOUN
sc-589	233	12	and	and	CCONJ
sc-589	233	13	techniques	technique	NOUN
sc-589	233	14	(	(	PUNCT
sc-589	233	15	third	third	ADJ
sc-589	233	16	edition	edition	NOUN
sc-589	233	17	)	)	PUNCT
sc-589	233	18	,	,	PUNCT
sc-589	233	19	the	the	DET
sc-589	233	20	morgan	morgan	PROPN
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sc-589	233	23	in	in	ADP
sc-589	233	24	data	data	NOUN
sc-589	233	25	management	management	NOUN
sc-589	233	26	systems	system	NOUN
sc-589	233	27	(	(	PUNCT
sc-589	233	28	boston	boston	PROPN
sc-589	233	29	:	:	PUNCT
sc-589	233	30	morgan	morgan	PROPN
sc-589	233	31	kaufmann	kaufmann	PROPN
sc-589	233	32	):	):	PUNCT
sc-589	233	33	3–38	3–38	NUM
sc-589	233	34	.	.	PUNCT
sc-589	234	1	doi:10.1016	doi:10.1016	PROPN
sc-589	234	2	/	/	SYM
sc-589	234	3	b978	b978	PROPN
sc-589	234	4	-	-	PUNCT
sc-589	234	5	0	0	NUM
sc-589	234	6	-	-	PUNCT
sc-589	234	7	12	12	NUM
sc-589	234	8	-	-	PUNCT
sc-589	234	9	3748560.00001	3748560.00001	NUM
sc-589	234	10	-	-	PUNCT
sc-589	234	11	8	8	NUM
sc-589	234	12	,	,	PUNCT
sc-589	234	13	url	url	X
sc-589	234	14	https://www.sciencedirect.com/	https://www.sciencedirect.com/	NOUN
sc-589	234	15	science	science	PROPN
sc-589	234	16	/	/	SYM
sc-589	234	17	article	article	PROPN
sc-589	234	18	/	/	SYM
sc-589	234	19	pii	pii	PROPN
sc-589	234	20	/	/	SYM
sc-589	234	21	b9780123748560000018	b9780123748560000018	PROPN
sc-589	234	22	.	.	PUNCT
sc-589	235	1	[	[	X
sc-589	235	2	13	13	NUM
sc-589	235	3	]	]	SYM
sc-589	235	4	w	w	PROPN
sc-589	235	5	,	,	PUNCT
sc-589	235	6	r.	r.	PROPN
sc-589	235	7	and	and	CCONJ
sc-589	235	8	v	v	PROPN
sc-589	235	9	,	,	PUNCT
sc-589	235	10	r.	r.	PROPN
sc-589	235	11	(	(	PUNCT
sc-589	235	12	2014	2014	NUM
sc-589	235	13	)	)	PUNCT
sc-589	235	14	big	big	ADJ
sc-589	235	15	data	datum	NOUN
sc-589	235	16	analytics	analytic	NOUN
sc-589	235	17	in	in	ADP
sc-589	235	18	healthcare	healthcare	PROPN
sc-589	235	19	:	:	PUNCT
sc-589	235	20	promise	promise	NOUN
sc-589	235	21	and	and	CCONJ
sc-589	235	22	potential	potential	ADJ
sc-589	235	23	.	.	PUNCT
sc-589	236	1	health	health	PROPN
sc-589	236	2	inf	inf	PROPN
sc-589	236	3	sci	sci	PROPN
sc-589	236	4	syst	syst	PROPN
sc-589	236	5	.	.	PUNCT
sc-589	236	6	2014	2014	NUM
sc-589	236	7	.	.	PUNCT
sc-589	237	1	[	[	X
sc-589	237	2	14	14	NUM
sc-589	237	3	]	]	SYM
sc-589	237	4	cruz	cruz	PROPN
sc-589	237	5	,	,	PUNCT
sc-589	237	6	m.	m.	NOUN
sc-589	237	7	,	,	PUNCT
sc-589	237	8	esteves	esteves	PROPN
sc-589	237	9	,	,	PUNCT
sc-589	237	10	m.	m.	NOUN
sc-589	237	11	,	,	PUNCT
sc-589	237	12	peixoto	peixoto	NOUN
sc-589	237	13	,	,	PUNCT
sc-589	237	14	h.	h.	PROPN
sc-589	237	15	,	,	PUNCT
sc-589	237	16	abelha	abelha	NOUN
sc-589	237	17	,	,	PUNCT
sc-589	237	18	a.	a.	NOUN
sc-589	237	19	and	and	CCONJ
sc-589	237	20	machado	machado	PROPN
sc-589	237	21	,	,	PUNCT
sc-589	237	22	j.	j.	PROPN
sc-589	237	23	(	(	PUNCT
sc-589	237	24	2019	2019	NUM
sc-589	237	25	)	)	PUNCT
sc-589	237	26	application	application	NOUN
sc-589	237	27	of	of	ADP
sc-589	237	28	data	datum	NOUN
sc-589	237	29	mining	mining	NOUN
sc-589	237	30	for	for	ADP
sc-589	237	31	the	the	DET
sc-589	237	32	prediction	prediction	NOUN
sc-589	237	33	of	of	ADP
sc-589	237	34	prophylactic	prophylactic	ADJ
sc-589	237	35	measures	measure	NOUN
sc-589	237	36	in	in	ADP
sc-589	237	37	patients	patient	NOUN
sc-589	237	38	at	at	ADP
sc-589	237	39	risk	risk	NOUN
sc-589	237	40	of	of	ADP
sc-589	237	41	deep	deep	ADJ
sc-589	237	42	vein	vein	ADJ
sc-589	237	43	thrombosis	thrombosis	NOUN
sc-589	237	44	.	.	PUNCT
sc-589	238	1	in	in	ADP
sc-589	238	2	rocha	rocha	PROPN
sc-589	238	3	,	,	PUNCT
sc-589	238	4	á	á	PROPN
sc-589	238	5	.	.	PROPN
sc-589	238	6	,	,	PUNCT
sc-589	238	7	adeli	adeli	PROPN
sc-589	238	8	,	,	PUNCT
sc-589	238	9	h.	h.	PROPN
sc-589	238	10	,	,	PUNCT
sc-589	238	11	reis	reis	NOUN
sc-589	238	12	,	,	PUNCT
sc-589	238	13	l.p	l.p	PROPN
sc-589	238	14	.	.	PROPN
sc-589	238	15	and	and	CCONJ
sc-589	238	16	costanzo	costanzo	PROPN
sc-589	238	17	,	,	PUNCT
sc-589	238	18	s.	s.	PROPN
sc-589	239	1	[	[	X
sc-589	239	2	eds	ed	NOUN
sc-589	239	3	.	.	PUNCT
sc-589	239	4	]	]	PUNCT
sc-589	240	1	new	new	ADJ
sc-589	240	2	knowledge	knowledge	NOUN
sc-589	240	3	in	in	ADP
sc-589	240	4	information	information	NOUN
sc-589	240	5	systems	system	NOUN
sc-589	240	6	and	and	CCONJ
sc-589	240	7	technologies	technology	NOUN
sc-589	240	8	(	(	PUNCT
sc-589	240	9	cham	cham	PROPN
sc-589	240	10	:	:	PUNCT
sc-589	240	11	springer	springer	NOUN
sc-589	240	12	international	international	ADJ
sc-589	240	13	publishing	publishing	NOUN
sc-589	240	14	):	):	PUNCT
sc-589	240	15	557–567	557–567	NUM
sc-589	240	16	.	.	PUNCT
sc-589	241	1	[	[	X
sc-589	241	2	15	15	NUM
sc-589	241	3	]	]	X
sc-589	241	4	konda	konda	PROPN
sc-589	241	5	,	,	PUNCT
sc-589	241	6	s.	s.	PROPN
sc-589	241	7	,	,	PUNCT
sc-589	241	8	rani	rani	PROPN
sc-589	241	9	,	,	PUNCT
sc-589	241	10	b.	b.	PROPN
sc-589	241	11	and	and	CCONJ
sc-589	241	12	govardhan	govardhan	NOUN
sc-589	241	13	,	,	PUNCT
sc-589	241	14	d.	d.	PROPN
sc-589	241	15	(	(	PUNCT
sc-589	241	16	2010	2010	NUM
sc-589	241	17	)	)	PUNCT
sc-589	241	18	applications	application	NOUN
sc-589	241	19	of	of	ADP
sc-589	241	20	data	datum	NOUN
sc-589	241	21	mining	mining	NOUN
sc-589	241	22	techniques	technique	NOUN
sc-589	241	23	in	in	ADP
sc-589	241	24	healthcare	healthcare	NOUN
sc-589	241	25	and	and	CCONJ
sc-589	241	26	prediction	prediction	NOUN
sc-589	241	27	of	of	ADP
sc-589	241	28	heart	heart	NOUN
sc-589	241	29	attacks	attack	NOUN
sc-589	241	30	.	.	PUNCT
sc-589	242	1	international	international	ADJ
sc-589	242	2	journal	journal	PROPN
sc-589	242	3	on	on	ADP
sc-589	242	4	computer	computer	NOUN
sc-589	242	5	science	science	NOUN
sc-589	242	6	and	and	CCONJ
sc-589	242	7	engineering	engineering	NOUN
sc-589	242	8	2	2	NUM
sc-589	242	9	:	:	PUNCT
sc-589	242	10	250–255	250–255	NUM
sc-589	242	11	.	.	PUNCT
sc-589	243	1	[	[	X
sc-589	243	2	16	16	NUM
sc-589	243	3	]	]	X
sc-589	243	4	peixoto	peixoto	NOUN
sc-589	243	5	,	,	PUNCT
sc-589	243	6	h.	h.	PROPN
sc-589	243	7	,	,	PUNCT
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sc-589	243	9	,	,	PUNCT
sc-589	243	10	a.	a.	PROPN
sc-589	243	11	,	,	PUNCT
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sc-589	243	13	,	,	PUNCT
sc-589	243	14	a.	a.	PROPN
sc-589	243	15	,	,	PUNCT
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sc-589	243	17	,	,	PUNCT
sc-589	243	18	m.	m.	NOUN
sc-589	243	19	,	,	PUNCT
sc-589	243	20	oliveira	oliveira	PROPN
sc-589	243	21	,	,	PUNCT
sc-589	243	22	s.	s.	PROPN
sc-589	243	23	,	,	PUNCT
sc-589	243	24	lopes	lopes	PROPN
sc-589	243	25	,	,	PUNCT
sc-589	243	26	v.	v.	ADV
sc-589	243	27	,	,	PUNCT
sc-589	243	28	abelha	abelha	NOUN
sc-589	243	29	,	,	PUNCT
sc-589	243	30	a.	a.	PROPN
sc-589	243	31	et	et	PROPN
sc-589	243	32	al	al	PROPN
sc-589	243	33	.	.	PROPN
sc-589	244	1	(	(	PUNCT
sc-589	244	2	2019	2019	NUM
sc-589	244	3	)	)	PUNCT
sc-589	244	4	predicting	predict	VERB
sc-589	244	5	postoperative	postoperative	ADJ
sc-589	244	6	complications	complication	NOUN
sc-589	244	7	for	for	ADP
sc-589	244	8	gastric	gastric	ADJ
sc-589	244	9	cancer	cancer	NOUN
sc-589	244	10	patients	patient	NOUN
sc-589	244	11	using	use	VERB
sc-589	244	12	data	datum	NOUN
sc-589	244	13	mining	mining	NOUN
sc-589	244	14	.	.	PUNCT
sc-589	245	1	in	in	ADP
sc-589	245	2	cortez	cortez	PROPN
sc-589	245	3	,	,	PUNCT
sc-589	245	4	p.	p.	PROPN
sc-589	245	5	,	,	PUNCT
sc-589	245	6	magalhães	magalhães	PROPN
sc-589	245	7	,	,	PUNCT
sc-589	245	8	l.	l.	PROPN
sc-589	245	9	,	,	PUNCT
sc-589	245	10	branco	branco	PROPN
sc-589	245	11	,	,	PUNCT
sc-589	245	12	p.	p.	PROPN
sc-589	245	13	,	,	PUNCT
sc-589	245	14	portela	portela	PROPN
sc-589	245	15	,	,	PUNCT
sc-589	245	16	c.f	c.f	PROPN
sc-589	245	17	.	.	PROPN
sc-589	245	18	and	and	CCONJ
sc-589	245	19	adão	adão	PROPN
sc-589	245	20	,	,	PUNCT
sc-589	245	21	t.	t.	PROPN
sc-589	246	1	[	[	X
sc-589	246	2	eds	ed	NOUN
sc-589	246	3	.	.	PUNCT
sc-589	246	4	]	]	X
sc-589	246	5	intelligent	intelligent	ADJ
sc-589	246	6	technologies	technology	NOUN
sc-589	246	7	for	for	ADP
sc-589	246	8	interactive	interactive	ADJ
sc-589	246	9	entertainment	entertainment	NOUN
sc-589	246	10	(	(	PUNCT
sc-589	246	11	cham	cham	PROPN
sc-589	246	12	:	:	PUNCT
sc-589	246	13	springer	springer	NOUN
sc-589	246	14	international	international	ADJ
sc-589	246	15	publishing	publishing	NOUN
sc-589	246	16	):	):	PUNCT
sc-589	246	17	37–46	37–46	NUM
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sc-589	251	25	)	)	PUNCT
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sc-589	260	8	.	.	PUNCT
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sc-589	265	5	-	-	SYM
sc-589	265	6	02	02	NUM
sc-589	265	7	.	.	PUNCT
sc-589	266	1	[	[	X
sc-589	266	2	23	23	NUM
sc-589	266	3	]	]	SYM
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sc-589	266	5	,	,	PUNCT
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sc-589	266	7	,	,	PUNCT
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sc-589	266	9	,	,	PUNCT
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sc-589	266	11	and	and	CCONJ
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sc-589	266	18	)	)	PUNCT
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sc-589	266	22	review	review	NOUN
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sc-589	266	26	-	-	PUNCT
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sc-589	267	4	181	181	NUM
sc-589	267	5	:	:	PUNCT
sc-589	267	6	526	526	NUM
sc-589	267	7	–	–	PUNCT
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sc-589	267	9	.	.	PUNCT
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sc-589	268	9	/	/	SYM
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sc-589	268	21	conference	conference	NOUN
sc-589	268	22	on	on	ADP
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sc-589	268	27	information	information	NOUN
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sc-589	268	35	projman	projman	NOUN
sc-589	268	36	/	/	SYM
sc-589	268	37	hcist	hcist	NOUN
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sc-589	268	39	.	.	PUNCT
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sc-589	269	3	]	]	SYM
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sc-589	269	5	,	,	PUNCT
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sc-589	269	7	,	,	PUNCT
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sc-589	269	9	,	,	PUNCT
sc-589	269	10	v.	v.	PROPN
sc-589	269	11	,	,	PUNCT
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sc-589	269	13	,	,	PUNCT
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sc-589	269	15	.	.	PROPN
sc-589	269	16	,	,	PUNCT
sc-589	269	17	ghosh	ghosh	PROPN
sc-589	269	18	,	,	PUNCT
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sc-589	269	20	,	,	PUNCT
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sc-589	269	22	,	,	PUNCT
sc-589	269	23	q.	q.	PROPN
sc-589	269	24	,	,	PUNCT
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sc-589	269	26	,	,	PUNCT
sc-589	269	27	h.	h.	PROPN
sc-589	269	28	,	,	PUNCT
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sc-589	269	30	,	,	PUNCT
sc-589	269	31	g.j	g.j	PROPN
sc-589	269	32	.	.	PROPN
sc-589	269	33	et	et	PROPN
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sc-589	269	35	.	.	PROPN
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sc-589	270	3	)	)	PUNCT
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sc-589	270	5	10	10	NUM
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sc-589	270	10	.	.	PUNCT
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sc-589	271	2	and	and	CCONJ
sc-589	271	3	information	information	NOUN
sc-589	271	4	systems	system	NOUN
sc-589	271	5	14(1	14(1	NUM
sc-589	271	6	):	):	PUNCT
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sc-589	271	8	.	.	PUNCT
sc-589	272	1	[	[	X
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sc-589	272	5	,	,	PUNCT
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sc-589	272	9	,	,	PUNCT
sc-589	272	10	s.	s.	PROPN
sc-589	272	11	(	(	PUNCT
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sc-589	272	13	)	)	PUNCT
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sc-589	272	16	on	on	ADP
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sc-589	272	23	.	.	PUNCT
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sc-589	273	2	journal	journal	PROPN
sc-589	273	3	of	of	ADP
sc-589	273	4	data	data	PROPN
sc-589	273	5	mining	mining	PROPN
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sc-589	273	7	knowledge	knowledge	PROPN
sc-589	273	8	management	management	NOUN
sc-589	273	9	process	process	NOUN
sc-589	273	10	5(2	5(2	NUM
sc-589	273	11	):	):	PUNCT
sc-589	273	12	01	01	NUM
sc-589	273	13	–	–	PUNCT
sc-589	273	14	11	11	NUM
sc-589	273	15	.	.	PUNCT
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sc-589	273	17	/	/	SYM
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sc-589	273	19	.	.	PUNCT
sc-589	274	1	9	9	NUM
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sc-589	274	3	endorsed	endorse	VERB
sc-589	274	4	transactions	transaction	NOUN
sc-589	274	5	on	on	ADP
sc-589	274	6	smart	smart	ADJ
sc-589	274	7	cities	city	NOUN
sc-589	274	8	03	03	NUM
sc-589	274	9	2022	2022	NUM
sc-589	274	10	09	09	NUM
sc-589	274	11	2022	2022	NUM
sc-589	274	12	|	|	ADV
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sc-589	274	14	6	6	NUM
sc-589	274	15	|	|	NOUN
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sc-589	274	17	18	18	NUM
sc-589	274	18	|	|	ADV
sc-589	274	19	e1	e1	VERB
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sc-589	274	26	1	1	NUM
sc-589	274	27	introduction	introduction	NOUN
sc-589	274	28	2	2	NUM
sc-589	274	29	background	background	NOUN
sc-589	274	30	and	and	CCONJ
sc-589	274	31	related	relate	VERB
sc-589	274	32	work	work	NOUN
sc-589	274	33	2.1	2.1	NUM
sc-589	274	34	smart	smart	ADJ
sc-589	274	35	cities	city	NOUN
sc-589	274	36	and	and	CCONJ
sc-589	274	37	smart	smart	ADJ
sc-589	274	38	health	health	NOUN
sc-589	274	39	2.2	2.2	NUM
sc-589	274	40	diabetes	diabetes	NOUN
sc-589	274	41	2.3	2.3	NUM
sc-589	274	42	related	relate	VERB
sc-589	274	43	work	work	NOUN
sc-589	274	44	3	3	NUM
sc-589	274	45	methodology	methodology	NOUN
sc-589	274	46	3.1	3.1	NUM
sc-589	274	47	business	business	NOUN
sc-589	274	48	understanding	understand	VERB
sc-589	274	49	3.2	3.2	NUM
sc-589	274	50	data	datum	NOUN
sc-589	274	51	understanding	understand	VERB
sc-589	274	52	3.3	3.3	NUM
sc-589	274	53	data	datum	NOUN
sc-589	274	54	preparation	preparation	NOUN
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sc-589	274	56	strategy	strategy	NOUN
sc-589	274	57	second	second	ADJ
sc-589	274	58	strategy	strategy	NOUN
sc-589	274	59	third	third	ADJ
sc-589	274	60	strategy	strategy	NOUN
sc-589	274	61	3.4	3.4	NUM
sc-589	274	62	modeling	modeling	NOUN
sc-589	274	63	3.5	3.5	NUM
sc-589	274	64	evaluation	evaluation	NOUN
sc-589	274	65	first	first	ADJ
sc-589	274	66	strategy	strategy	NOUN
sc-589	274	67	second	second	ADJ
sc-589	274	68	strategy	strategy	NOUN
sc-589	274	69	third	third	ADJ
sc-589	274	70	strategy	strategy	NOUN
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sc-589	274	72	discussion	discussion	NOUN
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sc-589	274	75	opportunities	opportunity	NOUN
sc-589	274	76	threats	threat	NOUN
sc-589	274	77	5	5	NUM
sc-589	274	78	conclusions	conclusion	NOUN
sc-589	274	79	and	and	CCONJ
sc-589	274	80	future	future	ADJ
sc-589	274	81	work	work	NOUN