id	sid	tid	token	lemma	pos
bitcs-5565	1	1	vol	vol	NOUN
bitcs-5565	1	2	.	.	PROPN
bitcs-5565	2	1	4	4	NUM
bitcs-5565	2	2	,	,	PUNCT
bitcs-5565	2	3	no.2	no.2	PROPN
bitcs-5565	2	4	july	july	PROPN
bitcs-5565	2	5	2023	2023	NUM
bitcs-5565	2	6	|	|	ADV
bitcs-5565	2	7	85	85	NUM
bitcs-5565	2	8	j.valarmathi1	j.valarmathi1	NOUN
bitcs-5565	2	9	,	,	PUNCT
bitcs-5565	2	10	v.t.kruthika2	v.t.kruthika2	NOUN
bitcs-5565	2	11	liver	liver	NOUN
bitcs-5565	2	12	disease	disease	NOUN
bitcs-5565	2	13	prediction	prediction	NOUN
bitcs-5565	2	14	model	model	NOUN
bitcs-5565	2	15	based	base	VERB
bitcs-5565	2	16	on	on	ADP
bitcs-5565	2	17	oversampling	oversample	VERB
bitcs-5565	2	18	dataset	dataset	NOUN
bitcs-5565	2	19	with	with	ADP
bitcs-5565	2	20	rfe	rfe	NOUN
bitcs-5565	2	21	feature	feature	NOUN
bitcs-5565	2	22	selection	selection	NOUN
bitcs-5565	2	23	using	use	VERB
bitcs-5565	2	24	ann	ann	PROPN
bitcs-5565	2	25	and	and	CCONJ
bitcs-5565	2	26	adaboost	adaboost	ADJ
bitcs-5565	2	27	algorithms	algorithms	PROPN
bitcs-5565	2	28	ahmed	ahmed	PROPN
bitcs-5565	2	29	sami	sami	PROPN
bitcs-5565	2	30	jaddoa1	jaddoa1	PROPN
bitcs-5565	2	31	,	,	PUNCT
bitcs-5565	2	32	samah	samah	PROPN
bitcs-5565	2	33	j.	j.	PROPN
bitcs-5565	2	34	saba2	saba2	PROPN
bitcs-5565	2	35	,	,	PUNCT
bitcs-5565	2	36	elaf	elaf	PROPN
bitcs-5565	2	37	a.abd	a.abd	PROPN
bitcs-5565	2	38	al	al	PROPN
bitcs-5565	2	39	-	-	PUNCT
bitcs-5565	2	40	kareem3	kareem3	PROPN
bitcs-5565	2	41	1	1	NUM
bitcs-5565	2	42	business	business	NOUN
bitcs-5565	2	43	informatics	informatics	PROPN
bitcs-5565	2	44	college	college	PROPN
bitcs-5565	2	45	,	,	PUNCT
bitcs-5565	2	46	university	university	NOUN
bitcs-5565	2	47	of	of	ADP
bitcs-5565	2	48	information	information	NOUN
bitcs-5565	2	49	technology	technology	NOUN
bitcs-5565	2	50	and	and	CCONJ
bitcs-5565	2	51	communications	communication	NOUN
bitcs-5565	2	52	,	,	PUNCT
bitcs-5565	2	53	iraq	iraq	PROPN
bitcs-5565	2	54	2	2	NUM
bitcs-5565	2	55	department	department	NOUN
bitcs-5565	2	56	of	of	ADP
bitcs-5565	2	57	computer	computer	NOUN
bitcs-5565	2	58	science	science	NOUN
bitcs-5565	2	59	,	,	PUNCT
bitcs-5565	2	60	science	science	NOUN
bitcs-5565	2	61	of	of	ADP
bitcs-5565	2	62	college	college	NOUN
bitcs-5565	2	63	,	,	PUNCT
bitcs-5565	2	64	university	university	NOUN
bitcs-5565	2	65	of	of	ADP
bitcs-5565	2	66	diyala	diyala	PROPN
bitcs-5565	2	67	,	,	PUNCT
bitcs-5565	2	68	iraq	iraq	PROPN
bitcs-5565	2	69	3	3	NUM
bitcs-5565	2	70	department	department	PROPN
bitcs-5565	2	71	of	of	ADP
bitcs-5565	2	72	sharia	sharia	PROPN
bitcs-5565	2	73	,	,	PUNCT
bitcs-5565	2	74	college	college	NOUN
bitcs-5565	2	75	of	of	ADP
bitcs-5565	2	76	islamic	islamic	PROPN
bitcs-5565	2	77	sciences	sciences	PROPN
bitcs-5565	2	78	,	,	PUNCT
bitcs-5565	2	79	university	university	NOUN
bitcs-5565	2	80	of	of	ADP
bitcs-5565	2	81	diyala	diyala	PROPN
bitcs-5565	2	82	,	,	PUNCT
bitcs-5565	2	83	iraq	iraq	PROPN
bitcs-5565	2	84	ahmed.sami@uoitc.edu.iq	ahmed.sami@uoitc.edu.iq	ADJ
bitcs-5565	2	85	1	1	NUM
bitcs-5565	2	86	,	,	PUNCT
bitcs-5565	2	87	samah.j.saba@gmail.com	samah.j.saba@gmail.com	PROPN
bitcs-5565	2	88	2	2	NUM
bitcs-5565	2	89	,	,	PUNCT
bitcs-5565	2	90	elaaf.ali1989@gmail.com	elaaf.ali1989@gmail.com	X
bitcs-5565	2	91	3	3	NUM
bitcs-5565	2	92	abstract	abstract	ADJ
bitcs-5565	2	93	liver	liver	NOUN
bitcs-5565	2	94	disease	disease	NOUN
bitcs-5565	2	95	counts	count	NOUN
bitcs-5565	2	96	are	be	AUX
bitcs-5565	2	97	one	one	NUM
bitcs-5565	2	98	of	of	ADP
bitcs-5565	2	99	the	the	DET
bitcs-5565	2	100	most	most	ADV
bitcs-5565	2	101	prevalent	prevalent	ADJ
bitcs-5565	2	102	diseases	disease	NOUN
bitcs-5565	2	103	all	all	ADV
bitcs-5565	2	104	over	over	ADP
bitcs-5565	2	105	the	the	DET
bitcs-5565	2	106	world	world	NOUN
bitcs-5565	2	107	and	and	CCONJ
bitcs-5565	2	108	they	they	PRON
bitcs-5565	2	109	are	be	AUX
bitcs-5565	2	110	becoming	become	VERB
bitcs-5565	2	111	very	very	ADV
bitcs-5565	2	112	common	common	ADJ
bitcs-5565	2	113	these	these	DET
bitcs-5565	2	114	days	day	NOUN
bitcs-5565	2	115	and	and	CCONJ
bitcs-5565	2	116	can	can	AUX
bitcs-5565	2	117	be	be	AUX
bitcs-5565	2	118	dangerous	dangerous	ADJ
bitcs-5565	2	119	.	.	PUNCT
bitcs-5565	3	1	liver	liver	NOUN
bitcs-5565	3	2	diseases	disease	NOUN
bitcs-5565	3	3	are	be	AUX
bitcs-5565	3	4	increasing	increase	VERB
bitcs-5565	3	5	all	all	ADV
bitcs-5565	3	6	over	over	ADP
bitcs-5565	3	7	the	the	DET
bitcs-5565	3	8	world	world	NOUN
bitcs-5565	3	9	due	due	ADP
bitcs-5565	3	10	to	to	ADP
bitcs-5565	3	11	different	different	ADJ
bitcs-5565	3	12	factors	factor	NOUN
bitcs-5565	3	13	such	such	ADJ
bitcs-5565	3	14	as	as	ADP
bitcs-5565	3	15	excess	excess	ADJ
bitcs-5565	3	16	alcohol	alcohol	NOUN
bitcs-5565	3	17	consumption	consumption	NOUN
bitcs-5565	3	18	,	,	PUNCT
bitcs-5565	3	19	drinking	drink	VERB
bitcs-5565	3	20	contaminated	contaminate	VERB
bitcs-5565	3	21	water	water	NOUN
bitcs-5565	3	22	,	,	PUNCT
bitcs-5565	3	23	eating	eat	VERB
bitcs-5565	3	24	contaminated	contaminate	VERB
bitcs-5565	3	25	food	food	NOUN
bitcs-5565	3	26	,	,	PUNCT
bitcs-5565	3	27	and	and	CCONJ
bitcs-5565	3	28	exposure	exposure	NOUN
bitcs-5565	3	29	to	to	ADP
bitcs-5565	3	30	polluted	polluted	ADJ
bitcs-5565	3	31	air	air	NOUN
bitcs-5565	3	32	.	.	PUNCT
bitcs-5565	4	1	the	the	DET
bitcs-5565	4	2	liver	liver	NOUN
bitcs-5565	4	3	is	be	AUX
bitcs-5565	4	4	involved	involve	VERB
bitcs-5565	4	5	in	in	ADP
bitcs-5565	4	6	many	many	ADJ
bitcs-5565	4	7	functions	function	NOUN
bitcs-5565	4	8	related	relate	VERB
bitcs-5565	4	9	to	to	ADP
bitcs-5565	4	10	the	the	DET
bitcs-5565	4	11	human	human	ADJ
bitcs-5565	4	12	body	body	NOUN
bitcs-5565	4	13	and	and	CCONJ
bitcs-5565	4	14	if	if	SCONJ
bitcs-5565	4	15	not	not	PART
bitcs-5565	4	16	functioned	function	VERB
bitcs-5565	4	17	properly	properly	ADV
bitcs-5565	4	18	can	can	AUX
bitcs-5565	4	19	affect	affect	VERB
bitcs-5565	4	20	the	the	DET
bitcs-5565	4	21	other	other	ADJ
bitcs-5565	4	22	parts	part	NOUN
bitcs-5565	4	23	too	too	ADV
bitcs-5565	4	24	.	.	PUNCT
bitcs-5565	5	1	predication	predication	NOUN
bitcs-5565	5	2	of	of	ADP
bitcs-5565	5	3	the	the	DET
bitcs-5565	5	4	disease	disease	NOUN
bitcs-5565	5	5	at	at	ADP
bitcs-5565	5	6	an	an	DET
bitcs-5565	5	7	earlier	early	ADJ
bitcs-5565	5	8	stage	stage	NOUN
bitcs-5565	5	9	can	can	AUX
bitcs-5565	5	10	help	help	VERB
bitcs-5565	5	11	reduce	reduce	VERB
bitcs-5565	5	12	the	the	DET
bitcs-5565	5	13	risk	risk	NOUN
bitcs-5565	5	14	of	of	ADP
bitcs-5565	5	15	severity	severity	NOUN
bitcs-5565	5	16	.	.	PUNCT
bitcs-5565	6	1	this	this	DET
bitcs-5565	6	2	paper	paper	NOUN
bitcs-5565	6	3	implemented	implement	VERB
bitcs-5565	6	4	oversampling	oversample	VERB
bitcs-5565	6	5	dataset	dataset	NOUN
bitcs-5565	6	6	,	,	PUNCT
bitcs-5565	6	7	feature	feature	NOUN
bitcs-5565	6	8	selecting	selecting	NOUN
bitcs-5565	6	9	attributes	attribute	NOUN
bitcs-5565	6	10	,	,	PUNCT
bitcs-5565	6	11	and	and	CCONJ
bitcs-5565	6	12	performance	performance	NOUN
bitcs-5565	6	13	analysis	analysis	NOUN
bitcs-5565	6	14	for	for	ADP
bitcs-5565	6	15	the	the	DET
bitcs-5565	6	16	improvement	improvement	NOUN
bitcs-5565	6	17	of	of	ADP
bitcs-5565	6	18	the	the	DET
bitcs-5565	6	19	accuracy	accuracy	NOUN
bitcs-5565	6	20	of	of	ADP
bitcs-5565	6	21	classification	classification	NOUN
bitcs-5565	6	22	of	of	ADP
bitcs-5565	6	23	liver	liver	NOUN
bitcs-5565	6	24	patients	patient	NOUN
bitcs-5565	6	25	in	in	ADP
bitcs-5565	6	26	3	3	NUM
bitcs-5565	6	27	phases	phase	NOUN
bitcs-5565	6	28	.	.	PUNCT
bitcs-5565	7	1	in	in	ADP
bitcs-5565	7	2	the	the	DET
bitcs-5565	7	3	first	first	ADJ
bitcs-5565	7	4	phase	phase	NOUN
bitcs-5565	7	5	,	,	PUNCT
bitcs-5565	7	6	the	the	DET
bitcs-5565	7	7	z	z	NOUN
bitcs-5565	7	8	-	-	PUNCT
bitcs-5565	7	9	score	score	NOUN
bitcs-5565	7	10	normalization	normalization	NOUN
bitcs-5565	7	11	algorithm	algorithm	NOUN
bitcs-5565	7	12	has	have	AUX
bitcs-5565	7	13	been	be	AUX
bitcs-5565	7	14	implemented	implement	VERB
bitcs-5565	7	15	to	to	ADP
bitcs-5565	7	16	the	the	DET
bitcs-5565	7	17	original	original	ADJ
bitcs-5565	7	18	liver	liver	NOUN
bitcs-5565	7	19	patient	patient	NOUN
bitcs-5565	7	20	data	datum	NOUN
bitcs-5565	7	21	-	-	PUNCT
bitcs-5565	7	22	sets	set	NOUN
bitcs-5565	7	23	that	that	PRON
bitcs-5565	7	24	has	have	AUX
bitcs-5565	7	25	been	be	AUX
bitcs-5565	7	26	collected	collect	VERB
bitcs-5565	7	27	from	from	ADP
bitcs-5565	7	28	the	the	DET
bitcs-5565	7	29	uci	uci	PROPN
bitcs-5565	7	30	repository	repository	NOUN
bitcs-5565	7	31	and	and	CCONJ
bitcs-5565	7	32	then	then	ADV
bitcs-5565	7	33	works	work	VERB
bitcs-5565	7	34	on	on	ADP
bitcs-5565	7	35	oversampling	oversample	VERB
bitcs-5565	7	36	the	the	DET
bitcs-5565	7	37	balanced	balanced	ADJ
bitcs-5565	7	38	dataset	dataset	NOUN
bitcs-5565	7	39	.	.	PUNCT
bitcs-5565	8	1	in	in	ADP
bitcs-5565	8	2	the	the	DET
bitcs-5565	8	3	second	second	ADJ
bitcs-5565	8	4	phase	phase	NOUN
bitcs-5565	8	5	,	,	PUNCT
bitcs-5565	8	6	feature	feature	NOUN
bitcs-5565	8	7	selection	selection	NOUN
bitcs-5565	8	8	of	of	ADP
bitcs-5565	8	9	attributes	attribute	NOUN
bitcs-5565	8	10	is	be	AUX
bitcs-5565	8	11	more	more	ADV
bitcs-5565	8	12	important	important	ADJ
bitcs-5565	8	13	by	by	ADP
bitcs-5565	8	14	using	use	VERB
bitcs-5565	8	15	rfe	rfe	PROPN
bitcs-5565	8	16	feature	feature	NOUN
bitcs-5565	8	17	selection	selection	NOUN
bitcs-5565	8	18	.	.	PUNCT
bitcs-5565	9	1	in	in	ADP
bitcs-5565	9	2	the	the	DET
bitcs-5565	9	3	third	third	ADJ
bitcs-5565	9	4	phase	phase	NOUN
bitcs-5565	9	5	,	,	PUNCT
bitcs-5565	9	6	classification	classification	NOUN
bitcs-5565	9	7	algorithms	algorithm	NOUN
bitcs-5565	9	8	are	be	AUX
bitcs-5565	9	9	applied	apply	VERB
bitcs-5565	9	10	to	to	ADP
bitcs-5565	9	11	the	the	DET
bitcs-5565	9	12	data	data	NOUN
bitcs-5565	9	13	-	-	PUNCT
bitcs-5565	9	14	set	set	NOUN
bitcs-5565	9	15	.	.	PUNCT
bitcs-5565	10	1	finally	finally	ADV
bitcs-5565	10	2	,	,	PUNCT
bitcs-5565	10	3	evaluation	evaluation	NOUN
bitcs-5565	10	4	has	have	AUX
bitcs-5565	10	5	been	be	AUX
bitcs-5565	10	6	performed	perform	VERB
bitcs-5565	10	7	based	base	VERB
bitcs-5565	10	8	upon	upon	SCONJ
bitcs-5565	10	9	the	the	DET
bitcs-5565	10	10	values	value	NOUN
bitcs-5565	10	11	of	of	ADP
bitcs-5565	10	12	accuracy	accuracy	NOUN
bitcs-5565	10	13	.	.	PUNCT
bitcs-5565	11	1	thus	thus	ADV
bitcs-5565	11	2	,	,	PUNCT
bitcs-5565	11	3	outputs	output	NOUN
bitcs-5565	11	4	shown	show	VERB
bitcs-5565	11	5	from	from	ADP
bitcs-5565	11	6	proposed	propose	VERB
bitcs-5565	11	7	classification	classification	NOUN
bitcs-5565	11	8	implementations	implementation	NOUN
bitcs-5565	11	9	indicate	indicate	VERB
bitcs-5565	11	10	that	that	SCONJ
bitcs-5565	11	11	ann	ann	PROPN
bitcs-5565	11	12	algorithm	algorithm	NOUN
bitcs-5565	11	13	performs	perform	VERB
bitcs-5565	11	14	better	well	ADV
bitcs-5565	11	15	than	than	ADP
bitcs-5565	11	16	adaboost	adaboost	ADJ
bitcs-5565	11	17	algorithm	algorithm	NOUN
bitcs-5565	11	18	with	with	ADP
bitcs-5565	11	19	the	the	DET
bitcs-5565	11	20	help	help	NOUN
bitcs-5565	11	21	of	of	ADP
bitcs-5565	11	22	feature	feature	NOUN
bitcs-5565	11	23	selection	selection	NOUN
bitcs-5565	11	24	with	with	ADP
bitcs-5565	11	25	a	a	DET
bitcs-5565	11	26	92.77	92.77	NUM
bitcs-5565	11	27	%	%	NOUN
bitcs-5565	11	28	accuracy	accuracy	NOUN
bitcs-5565	11	29	.	.	PUNCT
bitcs-5565	12	1	keywords	keyword	NOUN
bitcs-5565	12	2	:	:	PUNCT
bitcs-5565	12	3	machine	machine	NOUN
bitcs-5565	12	4	learning	learning	NOUN
bitcs-5565	12	5	,	,	PUNCT
bitcs-5565	12	6	classification	classification	NOUN
bitcs-5565	12	7	,	,	PUNCT
bitcs-5565	12	8	feature	feature	NOUN
bitcs-5565	12	9	selection	selection	NOUN
bitcs-5565	12	10	,	,	PUNCT
bitcs-5565	12	11	rfe	rfe	PROPN
bitcs-5565	12	12	,	,	PUNCT
bitcs-5565	12	13	ann	ann	PROPN
bitcs-5565	12	14	,	,	PUNCT
bitcs-5565	12	15	adaboost	adaboost	ADV
bitcs-5565	12	16	,	,	PUNCT
bitcs-5565	12	17	and	and	CCONJ
bitcs-5565	12	18	liver	liver	NOUN
bitcs-5565	12	19	.	.	PUNCT
bitcs-5565	13	1	abstrak	abstrak	PROPN
bitcs-5565	13	2	hitungan	hitungan	PROPN
bitcs-5565	13	3	penyakit	penyakit	PROPN
bitcs-5565	13	4	hati	hati	PROPN
bitcs-5565	13	5	adalah	adalah	PROPN
bitcs-5565	13	6	salah	salah	PROPN
bitcs-5565	13	7	satu	satu	PROPN
bitcs-5565	13	8	penyakit	penyakit	PROPN
bitcs-5565	13	9	yang	yang	PROPN
bitcs-5565	13	10	paling	paling	PROPN
bitcs-5565	13	11	umum	umum	PROPN
bitcs-5565	13	12	di	di	PROPN
bitcs-5565	13	13	seluruh	seluruh	PROPN
bitcs-5565	13	14	dunia	dunia	PROPN
bitcs-5565	13	15	dan	dan	PROPN
bitcs-5565	13	16	menjadi	menjadi	PROPN
bitcs-5565	13	17	sangat	sangat	PROPN
bitcs-5565	13	18	umum	umum	PROPN
bitcs-5565	13	19	akhir	akhir	PROPN
bitcs-5565	13	20	-	-	PUNCT
bitcs-5565	13	21	akhir	akhir	PROPN
bitcs-5565	13	22	ini	ini	PROPN
bitcs-5565	13	23	dan	dan	PROPN
bitcs-5565	13	24	bisa	bisa	PROPN
bitcs-5565	13	25	berbahaya	berbahaya	PROPN
bitcs-5565	13	26	.	.	PUNCT
bitcs-5565	14	1	penyakit	penyakit	PROPN
bitcs-5565	14	2	hati	hati	PROPN
bitcs-5565	14	3	meningkat	meningkat	PROPN
bitcs-5565	14	4	di	di	PROPN
bitcs-5565	14	5	seluruh	seluruh	PROPN
bitcs-5565	14	6	dunia	dunia	PROPN
bitcs-5565	14	7	karena	karena	PROPN
bitcs-5565	14	8	berbagai	berbagai	PROPN
bitcs-5565	14	9	faktor	faktor	PROPN
bitcs-5565	14	10	seperti	seperti	PROPN
bitcs-5565	14	11	konsumsi	konsumsi	PROPN
bitcs-5565	14	12	alkohol	alkohol	PROPN
bitcs-5565	14	13	berlebihan	berlebihan	PROPN
bitcs-5565	14	14	,	,	PUNCT
bitcs-5565	14	15	minum	minum	PROPN
bitcs-5565	14	16	air	air	PROPN
bitcs-5565	14	17	yang	yang	PROPN
bitcs-5565	14	18	terkontaminasi	terkontaminasi	PROPN
bitcs-5565	14	19	,	,	PUNCT
bitcs-5565	14	20	makan	makan	PROPN
bitcs-5565	14	21	makanan	makanan	PROPN
bitcs-5565	14	22	yang	yang	PROPN
bitcs-5565	14	23	terkontaminasi	terkontaminasi	PROPN
bitcs-5565	14	24	,	,	PUNCT
bitcs-5565	14	25	dan	dan	PROPN
bitcs-5565	14	26	paparan	paparan	PROPN
bitcs-5565	14	27	udara	udara	PROPN
bitcs-5565	14	28	yang	yang	PROPN
bitcs-5565	14	29	tercemar	tercemar	PROPN
bitcs-5565	14	30	.	.	PUNCT
bitcs-5565	15	1	hati	hati	PROPN
bitcs-5565	15	2	terlibat	terlibat	PROPN
bitcs-5565	15	3	dalam	dalam	PROPN
bitcs-5565	15	4	banyak	banyak	PROPN
bitcs-5565	15	5	fungsi	fungsi	PROPN
bitcs-5565	15	6	yang	yang	PROPN
bitcs-5565	15	7	berkaitan	berkaitan	PROPN
bitcs-5565	15	8	dengan	dengan	PROPN
bitcs-5565	15	9	tubuh	tubuh	PROPN
bitcs-5565	15	10	manusia	manusia	PROPN
bitcs-5565	15	11	dan	dan	PROPN
bitcs-5565	15	12	jika	jika	PROPN
bitcs-5565	15	13	tidak	tidak	PROPN
bitcs-5565	15	14	berfungsi	berfungsi	PROPN
bitcs-5565	15	15	dengan	dengan	PROPN
bitcs-5565	15	16	baik	baik	PROPN
bitcs-5565	15	17	dapat	dapat	PROPN
bitcs-5565	15	18	mempengaruhi	mempengaruhi	PROPN
bitcs-5565	15	19	bagian	bagian	PROPN
bitcs-5565	15	20	lain	lain	PROPN
bitcs-5565	15	21	juga	juga	PROPN
bitcs-5565	15	22	.	.	PUNCT
bitcs-5565	16	1	predikasi	predikasi	PROPN
bitcs-5565	16	2	penyakit	penyakit	PROPN
bitcs-5565	16	3	pada	pada	PROPN
bitcs-5565	16	4	tahap	tahap	PROPN
bitcs-5565	16	5	awal	awal	PROPN
bitcs-5565	16	6	dapat	dapat	PROPN
bitcs-5565	16	7	membantu	membantu	PROPN
bitcs-5565	16	8	mengurangi	mengurangi	PROPN
bitcs-5565	16	9	risiko	risiko	PROPN
bitcs-5565	16	10	keparahan	keparahan	PROPN
bitcs-5565	16	11	.	.	PUNCT
bitcs-5565	17	1	makalah	makalah	PROPN
bitcs-5565	17	2	ini	ini	PROPN
bitcs-5565	17	3	mengimplementasikan	mengimplementasikan	PROPN
bitcs-5565	17	4	dataset	dataset	PROPN
bitcs-5565	17	5	oversampling	oversampling	PROPN
bitcs-5565	17	6	,	,	PUNCT
bitcs-5565	17	7	atribut	atribut	ADP
bitcs-5565	17	8	pemilihan	pemilihan	ADP
bitcs-5565	17	9	fitur	fitur	PROPN
bitcs-5565	17	10	,	,	PUNCT
bitcs-5565	17	11	dan	dan	PROPN
bitcs-5565	17	12	analisis	analisis	PROPN
bitcs-5565	17	13	kinerja	kinerja	PROPN
bitcs-5565	17	14	untuk	untuk	PROPN
bitcs-5565	17	15	peningkatan	peningkatan	PROPN
bitcs-5565	17	16	akurasi	akurasi	PROPN
bitcs-5565	17	17	klasifikasi	klasifikasi	PROPN
bitcs-5565	17	18	pasien	pasien	PROPN
bitcs-5565	17	19	hati	hati	PROPN
bitcs-5565	17	20	dalam	dalam	PROPN
bitcs-5565	17	21	3	3	NUM
bitcs-5565	17	22	fase	fase	NOUN
bitcs-5565	17	23	.	.	PUNCT
bitcs-5565	18	1	pada	pada	PROPN
bitcs-5565	18	2	tahap	tahap	PROPN
bitcs-5565	18	3	pertama	pertama	PROPN
bitcs-5565	18	4	,	,	PUNCT
bitcs-5565	18	5	algoritme	algoritme	NOUN
bitcs-5565	18	6	normalisasi	normalisasi	PROPN
bitcs-5565	18	7	zscore	zscore	PROPN
bitcs-5565	18	8	telah	telah	PROPN
bitcs-5565	18	9	diimplementasikan	diimplementasikan	PROPN
bitcs-5565	18	10	ke	ke	PROPN
bitcs-5565	18	11	kumpulan	kumpulan	PROPN
bitcs-5565	18	12	data	data	PROPN
bitcs-5565	18	13	pasien	pasien	PROPN
bitcs-5565	18	14	hati	hati	PROPN
bitcs-5565	18	15	asli	asli	PROPN
bitcs-5565	18	16	yang	yang	PROPN
bitcs-5565	18	17	telah	telah	PROPN
bitcs-5565	18	18	dikumpulkan	dikumpulkan	PROPN
bitcs-5565	18	19	dari	dari	PROPN
bitcs-5565	18	20	repositori	repositori	PROPN
bitcs-5565	18	21	uci	uci	PROPN
bitcs-5565	18	22	dan	dan	PROPN
bitcs-5565	18	23	kemudian	kemudian	PROPN
bitcs-5565	18	24	bekerja	bekerja	PROPN
bitcs-5565	18	25	pada	pada	PROPN
bitcs-5565	18	26	oversampling	oversampling	PROPN
bitcs-5565	18	27	kumpulan	kumpulan	PROPN
bitcs-5565	18	28	data	data	PROPN
bitcs-5565	18	29	yang	yang	PROPN
bitcs-5565	18	30	seimbang	seimbang	PROPN
bitcs-5565	18	31	.	.	PUNCT
bitcs-5565	19	1	pada	pada	PROPN
bitcs-5565	19	2	tahap	tahap	PROPN
bitcs-5565	19	3	kedua	kedua	PROPN
bitcs-5565	19	4	,	,	PUNCT
bitcs-5565	19	5	pemilihan	pemilihan	ADP
bitcs-5565	19	6	fitur	fitur	PROPN
bitcs-5565	19	7	atribut	atribut	PROPN
bitcs-5565	19	8	lebih	lebih	PROPN
bitcs-5565	19	9	penting	penting	PROPN
bitcs-5565	19	10	dengan	dengan	PROPN
bitcs-5565	19	11	menggunakan	menggunakan	PROPN
bitcs-5565	19	12	pemilihan	pemilihan	PROPN
bitcs-5565	19	13	fitur	fitur	PROPN
bitcs-5565	19	14	rfe	rfe	NOUN
bitcs-5565	19	15	.	.	PUNCT
bitcs-5565	20	1	pada	pada	PROPN
bitcs-5565	20	2	fase	fase	PROPN
bitcs-5565	20	3	ketiga	ketiga	PROPN
bitcs-5565	20	4	,	,	PUNCT
bitcs-5565	20	5	p	p	PROPN
bitcs-5565	20	6	-	-	PUNCT
bitcs-5565	20	7	issn	issn	X
bitcs-5565	20	8	:	:	PUNCT
bitcs-5565	20	9	2715	2715	NUM
bitcs-5565	20	10	-	-	SYM
bitcs-5565	20	11	2448	2448	NUM
bitcs-5565	20	12	|	|	NOUN
bitcs-5565	20	13	e	e	NOUN
bitcs-5565	20	14	-	-	NOUN
bitcs-5565	20	15	issn	issn	X
bitcs-5565	20	16	:	:	PUNCT
bitcs-5565	20	17	2715	2715	NUM
bitcs-5565	20	18	-	-	SYM
bitcs-5565	20	19	7199	7199	NUM
bitcs-5565	20	20	vol.4	vol.4	PROPN
bitcs-5565	20	21	no.2	no.2	NUM
bitcs-5565	20	22	july	july	PROPN
bitcs-5565	20	23	2023	2023	NUM
bitcs-5565	20	24	buana	buana	PROPN
bitcs-5565	20	25	information	information	PROPN
bitcs-5565	20	26	technology	technology	NOUN
bitcs-5565	20	27	and	and	CCONJ
bitcs-5565	20	28	computer	computer	NOUN
bitcs-5565	20	29	sciences	science	NOUN
bitcs-5565	20	30	(	(	PUNCT
bitcs-5565	20	31	bit	bit	NOUN
bitcs-5565	20	32	and	and	CCONJ
bitcs-5565	20	33	cs	cs	ADJ
bitcs-5565	20	34	)	)	PUNCT
bitcs-5565	20	35	vol	vol	NOUN
bitcs-5565	20	36	.	.	PROPN
bitcs-5565	20	37	4	4	NUM
bitcs-5565	20	38	,	,	PUNCT
bitcs-5565	20	39	no.2	no.2	PROPN
bitcs-5565	20	40	july	july	PROPN
bitcs-5565	20	41	2023	2023	NUM
bitcs-5565	20	42	|	|	CCONJ
bitcs-5565	20	43	86	86	NUM
bitcs-5565	20	44	algoritma	algoritma	ADJ
bitcs-5565	20	45	klasifikasi	klasifikasi	NOUN
bitcs-5565	20	46	diterapkan	diterapkan	PROPN
bitcs-5565	20	47	pada	pada	PROPN
bitcs-5565	20	48	kumpulan	kumpulan	PROPN
bitcs-5565	20	49	data	data	PROPN
bitcs-5565	20	50	.	.	PUNCT
bitcs-5565	21	1	akhirnya	akhirnya	PROPN
bitcs-5565	21	2	,	,	PUNCT
bitcs-5565	21	3	evaluasi	evaluasi	PROPN
bitcs-5565	21	4	telah	telah	PROPN
bitcs-5565	21	5	dilakukan	dilakukan	PROPN
bitcs-5565	21	6	berdasarkan	berdasarkan	PROPN
bitcs-5565	21	7	nilai	nilai	PROPN
bitcs-5565	21	8	-	-	PUNCT
bitcs-5565	21	9	nilai	nilai	PROPN
bitcs-5565	21	10	akurasi	akurasi	PROPN
bitcs-5565	21	11	.	.	PUNCT
bitcs-5565	22	1	dengan	dengan	PROPN
bitcs-5565	22	2	demikian	demikian	PROPN
bitcs-5565	22	3	,	,	PUNCT
bitcs-5565	22	4	keluaran	keluaran	PROPN
bitcs-5565	22	5	yang	yang	PROPN
bitcs-5565	22	6	ditunjukkan	ditunjukkan	PROPN
bitcs-5565	22	7	dari	dari	PROPN
bitcs-5565	22	8	implementasi	implementasi	PROPN
bitcs-5565	22	9	klasifikasi	klasifikasi	PROPN
bitcs-5565	22	10	yang	yang	PROPN
bitcs-5565	22	11	diusulkan	diusulkan	PROPN
bitcs-5565	22	12	menunjukkan	menunjukkan	PROPN
bitcs-5565	22	13	bahwa	bahwa	PROPN
bitcs-5565	22	14	algoritma	algoritma	PROPN
bitcs-5565	22	15	jst	jst	PROPN
bitcs-5565	22	16	memiliki	memiliki	PROPN
bitcs-5565	22	17	kinerja	kinerja	PROPN
bitcs-5565	22	18	yang	yang	PROPN
bitcs-5565	22	19	lebih	lebih	PROPN
bitcs-5565	22	20	baik	baik	PROPN
bitcs-5565	22	21	daripada	daripada	PROPN
bitcs-5565	22	22	algoritma	algoritma	PROPN
bitcs-5565	22	23	adaboost	adaboost	PROPN
bitcs-5565	22	24	dengan	dengan	PROPN
bitcs-5565	22	25	bantuan	bantuan	PROPN
bitcs-5565	22	26	pemilihan	pemilihan	ADP
bitcs-5565	22	27	fitur	fitur	PROPN
bitcs-5565	22	28	dengan	dengan	PROPN
bitcs-5565	22	29	akurasi	akurasi	NOUN
bitcs-5565	22	30	92,77	92,77	NOUN
bitcs-5565	22	31	%	%	NOUN
bitcs-5565	22	32	.	.	PUNCT
bitcs-5565	23	1	kata	kata	PROPN
bitcs-5565	23	2	kunci	kunci	PROPN
bitcs-5565	23	3	:	:	PUNCT
bitcs-5565	23	4	pembelajaran	pembelajaran	PROPN
bitcs-5565	23	5	mesin	mesin	PROPN
bitcs-5565	23	6	,	,	PUNCT
bitcs-5565	23	7	klasifikasi	klasifikasi	PROPN
bitcs-5565	23	8	,	,	PUNCT
bitcs-5565	23	9	pemilihan	pemilihan	ADP
bitcs-5565	23	10	fitur	fitur	PROPN
bitcs-5565	23	11	,	,	PUNCT
bitcs-5565	23	12	rfe	rfe	PROPN
bitcs-5565	23	13	,	,	PUNCT
bitcs-5565	23	14	ann	ann	PROPN
bitcs-5565	23	15	,	,	PUNCT
bitcs-5565	23	16	adaboost	adaboost	ADV
bitcs-5565	23	17	,	,	PUNCT
bitcs-5565	23	18	dan	dan	PROPN
bitcs-5565	23	19	liver	liver	PROPN
bitcs-5565	23	20	i.	i.	PROPN
bitcs-5565	23	21	introduction	introduction	NOUN
bitcs-5565	23	22	liver	liver	NOUN
bitcs-5565	23	23	disease	disease	NOUN
bitcs-5565	23	24	can	can	AUX
bitcs-5565	23	25	be	be	AUX
bitcs-5565	23	26	defined	define	VERB
bitcs-5565	23	27	as	as	ADP
bitcs-5565	23	28	liver	liver	NOUN
bitcs-5565	23	29	inflammation	inflammation	NOUN
bitcs-5565	23	30	that	that	SCONJ
bitcs-5565	23	31	results	result	VERB
bitcs-5565	23	32	from	from	ADP
bitcs-5565	23	33	the	the	DET
bitcs-5565	23	34	actions	action	NOUN
bitcs-5565	23	35	of	of	ADP
bitcs-5565	23	36	bacteria	bacteria	NOUN
bitcs-5565	23	37	,	,	PUNCT
bitcs-5565	23	38	or	or	CCONJ
bitcs-5565	23	39	toxic	toxic	ADJ
bitcs-5565	23	40	materials	material	NOUN
bitcs-5565	23	41	so	so	SCONJ
bitcs-5565	23	42	that	that	SCONJ
bitcs-5565	23	43	liver	liver	NOUN
bitcs-5565	23	44	does	do	AUX
bitcs-5565	23	45	n’t	not	PART
bitcs-5565	23	46	properly	properly	ADV
bitcs-5565	23	47	operate	operate	VERB
bitcs-5565	23	48	anymore	anymore	ADV
bitcs-5565	23	49	.	.	PUNCT
bitcs-5565	24	1	according	accord	VERB
bitcs-5565	24	2	to	to	ADP
bitcs-5565	24	3	the	the	DET
bitcs-5565	24	4	reports	report	NOUN
bitcs-5565	24	5	that	that	PRON
bitcs-5565	24	6	have	have	AUX
bitcs-5565	24	7	been	be	AUX
bitcs-5565	24	8	conducted	conduct	VERB
bitcs-5565	24	9	by	by	ADP
bitcs-5565	24	10	world	world	NOUN
bitcs-5565	24	11	health	health	NOUN
bitcs-5565	24	12	organization	organization	NOUN
bitcs-5565	24	13	(	(	PUNCT
bitcs-5565	24	14	who	who	PRON
bitcs-5565	24	15	)	)	PUNCT
bitcs-5565	24	16	2005	2005	NUM
bitcs-5565	24	17	there	there	PRON
bitcs-5565	24	18	has	have	AUX
bitcs-5565	24	19	been	be	AUX
bitcs-5565	24	20	an	an	DET
bitcs-5565	24	21	estimate	estimate	NOUN
bitcs-5565	24	22	that	that	SCONJ
bitcs-5565	24	23	7.6	7.6	NUM
bitcs-5565	24	24	million	million	NUM
bitcs-5565	24	25	patients	patient	NOUN
bitcs-5565	24	26	had	have	AUX
bitcs-5565	24	27	died	die	VERB
bitcs-5565	24	28	from	from	ADP
bitcs-5565	24	29	cancer	cancer	NOUN
bitcs-5565	24	30	and	and	CCONJ
bitcs-5565	24	31	84	84	NUM
bitcs-5565	24	32	million	million	NUM
bitcs-5565	24	33	individuals	individual	NOUN
bitcs-5565	24	34	would	would	AUX
bitcs-5565	24	35	die	die	VERB
bitcs-5565	24	36	over	over	ADP
bitcs-5565	24	37	the	the	DET
bitcs-5565	24	38	next	next	ADJ
bitcs-5565	24	39	decade	decade	NOUN
bitcs-5565	24	40	.	.	PUNCT
bitcs-5565	25	1	this	this	DET
bitcs-5565	25	2	data	datum	NOUN
bitcs-5565	25	3	had	have	AUX
bitcs-5565	25	4	shown	show	VERB
bitcs-5565	25	5	that	that	SCONJ
bitcs-5565	25	6	the	the	DET
bitcs-5565	25	7	liver	liver	NOUN
bitcs-5565	25	8	cancer	cancer	NOUN
bitcs-5565	25	9	represents	represent	VERB
bitcs-5565	25	10	6th	6th	ADJ
bitcs-5565	25	11	most	most	ADV
bitcs-5565	25	12	widespread	widespread	ADJ
bitcs-5565	25	13	cancer	cancer	NOUN
bitcs-5565	25	14	type	type	NOUN
bitcs-5565	25	15	worldwide	worldwide	ADV
bitcs-5565	25	16	and	and	CCONJ
bitcs-5565	25	17	it	it	PRON
bitcs-5565	25	18	is	be	AUX
bitcs-5565	25	19	the	the	DET
bitcs-5565	25	20	3rd	3rd	ADV
bitcs-5565	25	21	-	-	PUNCT
bitcs-5565	25	22	largest	large	ADJ
bitcs-5565	25	23	death	death	NOUN
bitcs-5565	25	24	cause	cause	NOUN
bitcs-5565	25	25	along	along	ADP
bitcs-5565	25	26	with	with	ADP
bitcs-5565	25	27	the	the	DET
bitcs-5565	25	28	development	development	NOUN
bitcs-5565	25	29	.	.	PUNCT
bitcs-5565	26	1	it	it	PRON
bitcs-5565	26	2	’s	’	VERB
bitcs-5565	26	3	unavoidable	unavoidable	ADJ
bitcs-5565	26	4	that	that	SCONJ
bitcs-5565	26	5	technology	technology	NOUN
bitcs-5565	26	6	development	development	NOUN
bitcs-5565	26	7	and	and	CCONJ
bitcs-5565	26	8	easier	easy	ADJ
bitcs-5565	26	9	access	access	NOUN
bitcs-5565	26	10	to	to	ADP
bitcs-5565	26	11	internet	internet	NOUN
bitcs-5565	26	12	have	have	AUX
bitcs-5565	26	13	made	make	VERB
bitcs-5565	26	14	it	it	PRON
bitcs-5565	26	15	easier	easy	ADJ
bitcs-5565	26	16	to	to	PART
bitcs-5565	26	17	identify	identify	VERB
bitcs-5565	26	18	liver	liver	NOUN
bitcs-5565	26	19	disease	disease	NOUN
bitcs-5565	26	20	and	and	CCONJ
bitcs-5565	26	21	become	become	VERB
bitcs-5565	26	22	big	big	ADJ
bitcs-5565	26	23	supporters	supporter	NOUN
bitcs-5565	26	24	of	of	ADP
bitcs-5565	26	25	dealing	deal	VERB
bitcs-5565	26	26	with	with	ADP
bitcs-5565	26	27	special	special	ADJ
bitcs-5565	26	28	need	need	NOUN
bitcs-5565	26	29	illnesses	illness	NOUN
bitcs-5565	26	30	[	[	X
bitcs-5565	26	31	1	1	NUM
bitcs-5565	26	32	]	]	PUNCT
bitcs-5565	26	33	.	.	PUNCT
bitcs-5565	27	1	machine	machine	NOUN
bitcs-5565	27	2	learning	learning	NOUN
bitcs-5565	27	3	(	(	PUNCT
bitcs-5565	27	4	ml	ml	NOUN
bitcs-5565	27	5	)	)	PUNCT
bitcs-5565	27	6	represents	represent	VERB
bitcs-5565	27	7	an	an	DET
bitcs-5565	27	8	artificial	artificial	ADJ
bitcs-5565	27	9	intelligence	intelligence	NOUN
bitcs-5565	27	10	(	(	PUNCT
bitcs-5565	27	11	ai	ai	NOUN
bitcs-5565	27	12	)	)	PUNCT
bitcs-5565	27	13	part	part	NOUN
bitcs-5565	27	14	that	that	PRON
bitcs-5565	27	15	allows	allow	VERB
bitcs-5565	27	16	the	the	DET
bitcs-5565	27	17	system	system	NOUN
bitcs-5565	27	18	to	to	PART
bitcs-5565	27	19	get	get	VERB
bitcs-5565	27	20	knowledge	knowledge	NOUN
bitcs-5565	27	21	without	without	ADP
bitcs-5565	27	22	any	any	DET
bitcs-5565	27	23	explicit	explicit	ADJ
bitcs-5565	27	24	knowledge	knowledge	NOUN
bitcs-5565	27	25	.	.	PUNCT
bitcs-5565	28	1	the	the	DET
bitcs-5565	28	2	supervised	supervised	ADJ
bitcs-5565	28	3	algorithms	algorithm	NOUN
bitcs-5565	28	4	take	take	VERB
bitcs-5565	28	5	advantage	advantage	NOUN
bitcs-5565	28	6	of	of	ADP
bitcs-5565	28	7	the	the	DET
bitcs-5565	28	8	human	human	ADJ
bitcs-5565	28	9	inputs	input	NOUN
bitcs-5565	28	10	and	and	CCONJ
bitcs-5565	28	11	outputs	output	NOUN
bitcs-5565	28	12	for	for	ADP
bitcs-5565	28	13	prediction	prediction	NOUN
bitcs-5565	28	14	accuracy	accuracy	NOUN
bitcs-5565	28	15	and	and	CCONJ
bitcs-5565	28	16	training	training	NOUN
bitcs-5565	28	17	process	process	NOUN
bitcs-5565	28	18	,	,	PUNCT
bitcs-5565	28	19	which	which	PRON
bitcs-5565	28	20	is	be	AUX
bitcs-5565	28	21	why	why	SCONJ
bitcs-5565	28	22	,	,	PUNCT
bitcs-5565	28	23	they	they	PRON
bitcs-5565	28	24	are	be	AUX
bitcs-5565	28	25	utilized	utilize	VERB
bitcs-5565	28	26	for	for	ADP
bitcs-5565	28	27	a	a	DET
bitcs-5565	28	28	variety	variety	NOUN
bitcs-5565	28	29	of	of	ADP
bitcs-5565	28	30	the	the	DET
bitcs-5565	28	31	applications	application	NOUN
bitcs-5565	28	32	of	of	ADP
bitcs-5565	28	33	classification	classification	NOUN
bitcs-5565	28	34	.	.	PUNCT
bitcs-5565	29	1	thus	thus	ADV
bitcs-5565	29	2	,	,	PUNCT
bitcs-5565	29	3	ml	ml	NOUN
bitcs-5565	29	4	application	application	NOUN
bitcs-5565	29	5	had	have	AUX
bitcs-5565	29	6	extended	extend	VERB
bitcs-5565	29	7	to	to	ADP
bitcs-5565	29	8	the	the	DET
bitcs-5565	29	9	health	health	NOUN
bitcs-5565	29	10	-	-	PUNCT
bitcs-5565	29	11	care	care	NOUN
bitcs-5565	29	12	also	also	ADV
bitcs-5565	29	13	.	.	PUNCT
bitcs-5565	30	1	a	a	DET
bitcs-5565	30	2	very	very	ADV
bitcs-5565	30	3	significant	significant	ADJ
bitcs-5565	30	4	problem	problem	NOUN
bitcs-5565	30	5	in	in	ADP
bitcs-5565	30	6	the	the	DET
bitcs-5565	30	7	health	health	NOUN
bitcs-5565	30	8	-	-	PUNCT
bitcs-5565	30	9	care	care	NOUN
bitcs-5565	30	10	is	be	AUX
bitcs-5565	30	11	the	the	DET
bitcs-5565	30	12	rising	rise	VERB
bitcs-5565	30	13	numbers	number	NOUN
bitcs-5565	30	14	of	of	ADP
bitcs-5565	30	15	the	the	DET
bitcs-5565	30	16	liver	liver	NOUN
bitcs-5565	30	17	disease	disease	NOUN
bitcs-5565	30	18	patients	patient	NOUN
bitcs-5565	30	19	.	.	PUNCT
bitcs-5565	31	1	liver	liver	NOUN
bitcs-5565	31	2	is	be	AUX
bitcs-5565	31	3	one	one	NUM
bitcs-5565	31	4	of	of	ADP
bitcs-5565	31	5	the	the	DET
bitcs-5565	31	6	most	most	ADV
bitcs-5565	31	7	vital	vital	ADJ
bitcs-5565	31	8	organs	organ	NOUN
bitcs-5565	31	9	with	with	ADP
bitcs-5565	31	10	some	some	DET
bitcs-5565	31	11	functionalities	functionality	NOUN
bitcs-5565	31	12	such	such	ADJ
bitcs-5565	31	13	as	as	ADP
bitcs-5565	31	14	detoxification	detoxification	NOUN
bitcs-5565	31	15	of	of	ADP
bitcs-5565	31	16	chemicals	chemical	NOUN
bitcs-5565	31	17	,	,	PUNCT
bitcs-5565	31	18	bile	bile	NOUN
bitcs-5565	31	19	production	production	NOUN
bitcs-5565	31	20	,	,	PUNCT
bitcs-5565	31	21	and	and	CCONJ
bitcs-5565	31	22	productions	production	NOUN
bitcs-5565	31	23	of	of	ADP
bitcs-5565	31	24	vital	vital	ADJ
bitcs-5565	31	25	protein	protein	NOUN
bitcs-5565	31	26	types	type	NOUN
bitcs-5565	31	27	for	for	ADP
bitcs-5565	31	28	the	the	DET
bitcs-5565	31	29	blood	blood	NOUN
bitcs-5565	31	30	clotting	clot	VERB
bitcs-5565	31	31	[	[	X
bitcs-5565	31	32	2].feature	2].feature	NUM
bitcs-5565	31	33	selection	selection	NOUN
bitcs-5565	31	34	has	have	AUX
bitcs-5565	31	35	also	also	ADV
bitcs-5565	31	36	been	be	AUX
bitcs-5565	31	37	referred	refer	VERB
bitcs-5565	31	38	to	to	ADP
bitcs-5565	31	39	as	as	ADP
bitcs-5565	31	40	the	the	DET
bitcs-5565	31	41	instance	instance	NOUN
bitcs-5565	31	42	selection	selection	NOUN
bitcs-5565	31	43	,	,	PUNCT
bitcs-5565	31	44	attribute	attribute	NOUN
bitcs-5565	31	45	selection	selection	NOUN
bitcs-5565	31	46	,	,	PUNCT
bitcs-5565	31	47	variable	variable	ADJ
bitcs-5565	31	48	selection	selection	NOUN
bitcs-5565	31	49	,	,	PUNCT
bitcs-5565	31	50	data	datum	NOUN
bitcs-5565	31	51	selection	selection	NOUN
bitcs-5565	31	52	,	,	PUNCT
bitcs-5565	31	53	feature	feature	NOUN
bitcs-5565	31	54	construction	construction	NOUN
bitcs-5565	31	55	,	,	PUNCT
bitcs-5565	31	56	or	or	CCONJ
bitcs-5565	31	57	feature	feature	NOUN
bitcs-5565	31	58	extraction	extraction	NOUN
bitcs-5565	31	59	.	.	PUNCT
bitcs-5565	32	1	it	it	PRON
bitcs-5565	32	2	is	be	AUX
bitcs-5565	32	3	utilized	utilize	VERB
bitcs-5565	32	4	for	for	ADP
bitcs-5565	32	5	the	the	DET
bitcs-5565	32	6	data	data	NOUN
bitcs-5565	32	7	reduction	reduction	NOUN
bitcs-5565	32	8	by	by	ADP
bitcs-5565	32	9	redundant	redundant	ADJ
bitcs-5565	32	10	and	and	CCONJ
bitcs-5565	32	11	removing	remove	VERB
bitcs-5565	32	12	irrelevant	irrelevant	ADJ
bitcs-5565	32	13	data	datum	NOUN
bitcs-5565	32	14	for	for	ADP
bitcs-5565	32	15	increasing	increase	VERB
bitcs-5565	32	16	data	datum	NOUN
bitcs-5565	32	17	mining	mining	NOUN
bitcs-5565	32	18	accuracy	accuracy	NOUN
bitcs-5565	32	19	.	.	PUNCT
bitcs-5565	33	1	feature	feature	NOUN
bitcs-5565	33	2	selection	selection	NOUN
bitcs-5565	33	3	chooses	choose	VERB
bitcs-5565	33	4	many	many	ADJ
bitcs-5565	33	5	relevant	relevant	ADJ
bitcs-5565	33	6	features	feature	NOUN
bitcs-5565	33	7	from	from	ADP
bitcs-5565	33	8	original	original	ADJ
bitcs-5565	33	9	features	feature	NOUN
bitcs-5565	33	10	[	[	X
bitcs-5565	33	11	3].classification	3].classification	NOUN
bitcs-5565	33	12	has	have	AUX
bitcs-5565	33	13	been	be	AUX
bitcs-5565	33	14	defined	define	VERB
bitcs-5565	33	15	as	as	ADP
bitcs-5565	33	16	one	one	NUM
bitcs-5565	33	17	of	of	ADP
bitcs-5565	33	18	the	the	DET
bitcs-5565	33	19	crucial	crucial	ADJ
bitcs-5565	33	20	tasks	task	NOUN
bitcs-5565	33	21	in	in	ADP
bitcs-5565	33	22	dm	dm	PROPN
bitcs-5565	33	23	and	and	CCONJ
bitcs-5565	33	24	ml	ml	ADP
bitcs-5565	33	25	,	,	PUNCT
bitcs-5565	33	26	due	due	ADP
bitcs-5565	33	27	to	to	ADP
bitcs-5565	33	28	the	the	DET
bitcs-5565	33	29	fact	fact	NOUN
bitcs-5565	33	30	that	that	SCONJ
bitcs-5565	33	31	it	it	PRON
bitcs-5565	33	32	is	be	AUX
bitcs-5565	33	33	aimed	aim	VERB
bitcs-5565	33	34	at	at	ADP
bitcs-5565	33	35	categorizing	categorize	VERB
bitcs-5565	33	36	every	every	DET
bitcs-5565	33	37	instance	instance	NOUN
bitcs-5565	33	38	in	in	ADP
bitcs-5565	33	39	the	the	DET
bitcs-5565	33	40	dataset	dataset	NOUN
bitcs-5565	33	41	to	to	ADP
bitcs-5565	33	42	distinctive	distinctive	ADJ
bitcs-5565	33	43	groups	group	NOUN
bitcs-5565	33	44	on	on	ADP
bitcs-5565	33	45	the	the	DET
bitcs-5565	33	46	basis	basis	NOUN
bitcs-5565	33	47	of	of	ADP
bitcs-5565	33	48	information	information	NOUN
bitcs-5565	33	49	that	that	PRON
bitcs-5565	33	50	has	have	AUX
bitcs-5565	33	51	been	be	AUX
bitcs-5565	33	52	identified	identify	VERB
bitcs-5565	33	53	by	by	ADP
bitcs-5565	33	54	its	its	PRON
bitcs-5565	33	55	features	feature	NOUN
bitcs-5565	33	56	.	.	PUNCT
bitcs-5565	34	1	in	in	ADP
bitcs-5565	34	2	addition	addition	NOUN
bitcs-5565	34	3	to	to	ADP
bitcs-5565	34	4	that	that	PRON
bitcs-5565	34	5	,	,	PUNCT
bitcs-5565	34	6	a	a	DET
bitcs-5565	34	7	major	major	ADJ
bitcs-5565	34	8	dm	dm	PROPN
bitcs-5565	34	9	task	task	NOUN
bitcs-5565	34	10	is	be	AUX
bitcs-5565	34	11	the	the	DET
bitcs-5565	34	12	data	data	NOUN
bitcs-5565	34	13	classification	classification	NOUN
bitcs-5565	34	14	.	.	PUNCT
bitcs-5565	35	1	it	it	PRON
bitcs-5565	35	2	has	have	AUX
bitcs-5565	35	3	been	be	AUX
bitcs-5565	35	4	attempted	attempt	VERB
bitcs-5565	35	5	to	to	PART
bitcs-5565	35	6	create	create	VERB
bitcs-5565	35	7	classifier	classifier	NOUN
bitcs-5565	35	8	identifying	identify	VERB
bitcs-5565	35	9	diabetes	diabetes	NOUN
bitcs-5565	35	10	at	at	ADP
bitcs-5565	35	11	minimal	minimal	ADJ
bitcs-5565	35	12	cost	cost	NOUN
bitcs-5565	35	13	and	and	CCONJ
bitcs-5565	35	14	with	with	ADP
bitcs-5565	35	15	optimal	optimal	ADJ
bitcs-5565	35	16	performance	performance	NOUN
bitcs-5565	35	17	[	[	X
bitcs-5565	35	18	4][5	4][5	X
bitcs-5565	35	19	]	]	SYM
bitcs-5565	35	20	.	.	PUNCT
bitcs-5565	36	1	ii	ii	PROPN
bitcs-5565	36	2	.	.	PUNCT
bitcs-5565	37	1	literature	literature	PROPN
bitcs-5565	37	2	review	review	NOUN
bitcs-5565	37	3	over	over	ADP
bitcs-5565	37	4	the	the	DET
bitcs-5565	37	5	recent	recent	ADJ
bitcs-5565	37	6	years	year	NOUN
bitcs-5565	37	7	,	,	PUNCT
bitcs-5565	37	8	various	various	ADJ
bitcs-5565	37	9	researches	research	NOUN
bitcs-5565	37	10	have	have	AUX
bitcs-5565	37	11	been	be	AUX
bitcs-5565	37	12	performed	perform	VERB
bitcs-5565	37	13	to	to	PART
bitcs-5565	37	14	classify	classify	VERB
bitcs-5565	37	15	liver	liver	NOUN
bitcs-5565	37	16	patients	patient	NOUN
bitcs-5565	37	17	.	.	PUNCT
bitcs-5565	38	1	s.	s.	PROPN
bitcs-5565	38	2	jain	jain	PROPN
bitcs-5565	38	3	et	et	PROPN
bitcs-5565	38	4	al	al	PROPN
bitcs-5565	38	5	.	.	PUNCT
bitcs-5565	39	1	[	[	X
bitcs-5565	39	2	6	6	NUM
bitcs-5565	39	3	]	]	PUNCT
bitcs-5565	39	4	,	,	PUNCT
bitcs-5565	39	5	proposed	propose	VERB
bitcs-5565	39	6	a	a	DET
bitcs-5565	39	7	paper	paper	NOUN
bitcs-5565	39	8	based	base	VERB
bitcs-5565	39	9	on	on	ADP
bitcs-5565	39	10	the	the	DET
bitcs-5565	39	11	indian	indian	ADJ
bitcs-5565	39	12	liver	liver	NOUN
bitcs-5565	39	13	patient	patient	NOUN
bitcs-5565	39	14	dataset	dataset	NOUN
bitcs-5565	39	15	that	that	PRON
bitcs-5565	39	16	has	have	VERB
bitcs-5565	39	17	a	a	DET
bitcs-5565	39	18	variety	variety	NOUN
bitcs-5565	39	19	of	of	ADP
bitcs-5565	39	20	symptoms	symptom	NOUN
bitcs-5565	39	21	for	for	ADP
bitcs-5565	39	22	around	around	ADV
bitcs-5565	39	23	600	600	NUM
bitcs-5565	39	24	patients	patient	NOUN
bitcs-5565	39	25	.	.	PUNCT
bitcs-5565	40	1	this	this	DET
bitcs-5565	40	2	work	work	NOUN
bitcs-5565	40	3	is	be	AUX
bitcs-5565	40	4	aimed	aim	VERB
bitcs-5565	40	5	at	at	ADP
bitcs-5565	40	6	the	the	DET
bitcs-5565	40	7	evaluation	evaluation	NOUN
bitcs-5565	40	8	of	of	ADP
bitcs-5565	40	9	several	several	ADJ
bitcs-5565	40	10	intelligent	intelligent	ADJ
bitcs-5565	40	11	technique	technique	NOUN
bitcs-5565	40	12	outputs	output	NOUN
bitcs-5565	40	13	,	,	PUNCT
bitcs-5565	40	14	such	such	ADJ
bitcs-5565	40	15	as	as	ADP
bitcs-5565	40	16	k	k	PROPN
bitcs-5565	40	17	-	-	PUNCT
bitcs-5565	40	18	nn	nn	PROPN
bitcs-5565	40	19	,	,	PUNCT
bitcs-5565	40	20	xgboost	xgboost	ADV
bitcs-5565	40	21	,	,	PUNCT
bitcs-5565	40	22	support	support	VERB
bitcs-5565	40	23	vector	vector	NOUN
bitcs-5565	40	24	machines	machine	NOUN
bitcs-5565	40	25	(	(	PUNCT
bitcs-5565	40	26	svm	svm	PROPN
bitcs-5565	40	27	)	)	PUNCT
bitcs-5565	40	28	,	,	PUNCT
bitcs-5565	40	29	and	and	CCONJ
bitcs-5565	40	30	decision	decision	NOUN
bitcs-5565	40	31	tree	tree	NOUN
bitcs-5565	40	32	with	with	ADP
bitcs-5565	40	33	the	the	DET
bitcs-5565	40	34	ratio	ratio	NOUN
bitcs-5565	40	35	of	of	ADP
bitcs-5565	40	36	the	the	DET
bitcs-5565	40	37	training	training	NOUN
bitcs-5565	40	38	set	set	VERB
bitcs-5565	40	39	to	to	ADP
bitcs-5565	40	40	testing	testing	NOUN
bitcs-5565	40	41	set	set	VERB
bitcs-5565	40	42	being	be	AUX
bitcs-5565	40	43	80	80	NUM
bitcs-5565	40	44	%	%	NOUN
bitcs-5565	40	45	and	and	CCONJ
bitcs-5565	40	46	20	20	NUM
bitcs-5565	40	47	%	%	NOUN
bitcs-5565	40	48	respectively	respectively	ADV
bitcs-5565	40	49	.	.	PUNCT
bitcs-5565	41	1	and	and	CCONJ
bitcs-5565	41	2	results	result	NOUN
bitcs-5565	41	3	have	have	AUX
bitcs-5565	41	4	shown	show	VERB
bitcs-5565	41	5	that	that	SCONJ
bitcs-5565	41	6	k	k	PROPN
bitcs-5565	41	7	-	-	PUNCT
bitcs-5565	41	8	nn	nn	PROPN
bitcs-5565	41	9	gives	give	VERB
bitcs-5565	41	10	an	an	DET
bitcs-5565	41	11	accuracy	accuracy	NOUN
bitcs-5565	41	12	of	of	ADP
bitcs-5565	41	13	64	64	NUM
bitcs-5565	41	14	%	%	NOUN
bitcs-5565	41	15	,	,	PUNCT
bitcs-5565	41	16	the	the	DET
bitcs-5565	41	17	svm	svm	ADJ
bitcs-5565	41	18	model	model	NOUN
bitcs-5565	41	19	gives	give	VERB
bitcs-5565	41	20	a	a	DET
bitcs-5565	41	21	66	66	NUM
bitcs-5565	41	22	%	%	NOUN
bitcs-5565	41	23	accuracy	accuracy	NOUN
bitcs-5565	41	24	,	,	PUNCT
bitcs-5565	41	25	the	the	DET
bitcs-5565	41	26	decision	decision	NOUN
bitcs-5565	41	27	tree	tree	NOUN
bitcs-5565	41	28	model	model	NOUN
bitcs-5565	41	29	gives	give	VERB
bitcs-5565	41	30	an	an	DET
bitcs-5565	41	31	81	81	NUM
bitcs-5565	41	32	%	%	NOUN
bitcs-5565	41	33	accuracy	accuracy	NOUN
bitcs-5565	41	34	,	,	PUNCT
bitcs-5565	41	35	and	and	CCONJ
bitcs-5565	41	36	xgboost	xgboost	ADV
bitcs-5565	41	37	gives	give	VERB
bitcs-5565	41	38	an	an	DET
bitcs-5565	41	39	accuracy	accuracy	NOUN
bitcs-5565	41	40	of	of	ADP
bitcs-5565	41	41	91	91	NUM
bitcs-5565	41	42	%	%	NOUN
bitcs-5565	41	43	.	.	PUNCT
bitcs-5565	42	1	g.	g.	PROPN
bitcs-5565	42	2	jamila	jamila	PROPN
bitcs-5565	42	3	et	et	PROPN
bitcs-5565	42	4	al	al	PROPN
bitcs-5565	42	5	.	.	PUNCT
bitcs-5565	43	1	[	[	X
bitcs-5565	43	2	7	7	NUM
bitcs-5565	43	3	]	]	PUNCT
bitcs-5565	43	4	,	,	PUNCT
bitcs-5565	43	5	the	the	DET
bitcs-5565	43	6	proposed	propose	VERB
bitcs-5565	43	7	model	model	NOUN
bitcs-5565	43	8	for	for	ADP
bitcs-5565	43	9	the	the	DET
bitcs-5565	43	10	prediction	prediction	NOUN
bitcs-5565	43	11	of	of	ADP
bitcs-5565	43	12	liver	liver	NOUN
bitcs-5565	43	13	cirrhosis	cirrhosis	NOUN
bitcs-5565	43	14	sickness	sickness	NOUN
bitcs-5565	43	15	employed	employ	VERB
bitcs-5565	43	16	naive	naive	ADJ
bitcs-5565	43	17	bayesian	bayesian	NOUN
bitcs-5565	43	18	,	,	PUNCT
bitcs-5565	43	19	classification	classification	NOUN
bitcs-5565	43	20	and	and	CCONJ
bitcs-5565	43	21	regression	regression	NOUN
bitcs-5565	43	22	tree	tree	NOUN
bitcs-5565	43	23	(	(	PUNCT
bitcs-5565	43	24	cart	cart	NOUN
bitcs-5565	43	25	)	)	PUNCT
bitcs-5565	43	26	,	,	PUNCT
bitcs-5565	43	27	and	and	CCONJ
bitcs-5565	43	28	svms	svms	VERB
bitcs-5565	43	29	with	with	ADP
bitcs-5565	43	30	10	10	NUM
bitcs-5565	43	31	-	-	ADJ
bitcs-5565	43	32	fold	fold	ADJ
bitcs-5565	43	33	cross	cross	NOUN
bitcs-5565	43	34	-	-	NOUN
bitcs-5565	43	35	validation	validation	ADJ
bitcs-5565	43	36	.	.	PUNCT
bitcs-5565	44	1	accuracy	accuracy	NOUN
bitcs-5565	44	2	,	,	PUNCT
bitcs-5565	44	3	recall	recall	NOUN
bitcs-5565	44	4	,	,	PUNCT
bitcs-5565	44	5	precision	precision	NOUN
bitcs-5565	44	6	,	,	PUNCT
bitcs-5565	44	7	and	and	CCONJ
bitcs-5565	44	8	f1	f1	NOUN
bitcs-5565	44	9	score	score	NOUN
bitcs-5565	44	10	were	be	AUX
bitcs-5565	44	11	used	use	VERB
bitcs-5565	44	12	for	for	ADP
bitcs-5565	44	13	the	the	DET
bitcs-5565	44	14	evaluations	evaluation	NOUN
bitcs-5565	44	15	of	of	ADP
bitcs-5565	44	16	the	the	DET
bitcs-5565	44	17	model	model	NOUN
bitcs-5565	44	18	's	's	PART
bitcs-5565	44	19	performance	performance	NOUN
bitcs-5565	44	20	.	.	PUNCT
bitcs-5565	45	1	vol	vol	NOUN
bitcs-5565	45	2	.	.	PROPN
bitcs-5565	46	1	4	4	NUM
bitcs-5565	46	2	,	,	PUNCT
bitcs-5565	46	3	no.2	no.2	PROPN
bitcs-5565	46	4	july	july	PROPN
bitcs-5565	46	5	2023	2023	NUM
bitcs-5565	47	1	|	|	ADV
bitcs-5565	47	2	87	87	NUM
bitcs-5565	47	3	among	among	ADP
bitcs-5565	47	4	all	all	DET
bitcs-5565	47	5	the	the	DET
bitcs-5565	47	6	strategies	strategy	NOUN
bitcs-5565	47	7	used	use	VERB
bitcs-5565	47	8	in	in	ADP
bitcs-5565	47	9	this	this	DET
bitcs-5565	47	10	study	study	NOUN
bitcs-5565	47	11	,	,	PUNCT
bitcs-5565	47	12	svm	svm	ADJ
bitcs-5565	47	13	technique	technique	NOUN
bitcs-5565	47	14	produces	produce	VERB
bitcs-5565	47	15	the	the	DET
bitcs-5565	47	16	optimal	optimal	ADJ
bitcs-5565	47	17	results	result	NOUN
bitcs-5565	47	18	,	,	PUNCT
bitcs-5565	47	19	with	with	ADP
bitcs-5565	47	20	an	an	DET
bitcs-5565	47	21	accuracy	accuracy	NOUN
bitcs-5565	47	22	of	of	ADP
bitcs-5565	47	23	73	73	NUM
bitcs-5565	47	24	%	%	NOUN
bitcs-5565	47	25	,	,	PUNCT
bitcs-5565	47	26	precision	precision	NOUN
bitcs-5565	47	27	of	of	ADP
bitcs-5565	47	28	73	73	NUM
bitcs-5565	47	29	%	%	NOUN
bitcs-5565	47	30	,	,	PUNCT
bitcs-5565	47	31	recall	recall	NOUN
bitcs-5565	47	32	of	of	ADP
bitcs-5565	47	33	100	100	NUM
bitcs-5565	47	34	%	%	NOUN
bitcs-5565	47	35	,	,	PUNCT
bitcs-5565	47	36	and	and	CCONJ
bitcs-5565	47	37	f1	f1	ADJ
bitcs-5565	47	38	score	score	NOUN
bitcs-5565	47	39	of	of	ADP
bitcs-5565	47	40	84	84	NUM
bitcs-5565	47	41	%	%	NOUN
bitcs-5565	47	42	.	.	PUNCT
bitcs-5565	48	1	g.	g.	PROPN
bitcs-5565	48	2	s.	s.	PROPN
bitcs-5565	48	3	harshpreet	harshpreet	PROPN
bitcs-5565	48	4	kaur	kaur	PROPN
bitcs-5565	49	1	[	[	X
bitcs-5565	49	2	8	8	NUM
bitcs-5565	49	3	]	]	PUNCT
bitcs-5565	49	4	,	,	PUNCT
bitcs-5565	49	5	this	this	DET
bitcs-5565	49	6	study	study	NOUN
bitcs-5565	49	7	has	have	AUX
bitcs-5565	49	8	been	be	AUX
bitcs-5565	49	9	based	base	VERB
bitcs-5565	49	10	upon	upon	SCONJ
bitcs-5565	49	11	the	the	DET
bitcs-5565	49	12	prediction	prediction	NOUN
bitcs-5565	49	13	of	of	ADP
bitcs-5565	49	14	the	the	DET
bitcs-5565	49	15	liver	liver	NOUN
bitcs-5565	49	16	diseases	disease	NOUN
bitcs-5565	49	17	with	with	ADP
bitcs-5565	49	18	the	the	DET
bitcs-5565	49	19	use	use	NOUN
bitcs-5565	49	20	of	of	ADP
bitcs-5565	49	21	ml	ml	NOUN
bitcs-5565	49	22	algorithms	algorithm	NOUN
bitcs-5565	49	23	.	.	PUNCT
bitcs-5565	50	1	the	the	DET
bitcs-5565	50	2	prediction	prediction	NOUN
bitcs-5565	50	3	of	of	ADP
bitcs-5565	50	4	the	the	DET
bitcs-5565	50	5	liver	liver	NOUN
bitcs-5565	50	6	diseases	disease	NOUN
bitcs-5565	50	7	involves	involve	VERB
bitcs-5565	50	8	many	many	ADJ
bitcs-5565	50	9	different	different	ADJ
bitcs-5565	50	10	levels	level	NOUN
bitcs-5565	50	11	of	of	ADP
bitcs-5565	50	12	steps	step	NOUN
bitcs-5565	50	13	,	,	PUNCT
bitcs-5565	50	14	such	such	ADJ
bitcs-5565	50	15	as	as	ADP
bitcs-5565	50	16	:	:	PUNCT
bitcs-5565	50	17	preprocessing	preprocessing	NOUN
bitcs-5565	50	18	,	,	PUNCT
bitcs-5565	50	19	classification	classification	NOUN
bitcs-5565	50	20	and	and	CCONJ
bitcs-5565	50	21	feature	feature	NOUN
bitcs-5565	50	22	extraction	extraction	NOUN
bitcs-5565	50	23	.	.	PUNCT
bitcs-5565	51	1	in	in	ADP
bitcs-5565	51	2	this	this	DET
bitcs-5565	51	3	paper	paper	NOUN
bitcs-5565	51	4	,	,	PUNCT
bitcs-5565	51	5	a	a	DET
bitcs-5565	51	6	hybrid	hybrid	ADJ
bitcs-5565	51	7	classification	classification	NOUN
bitcs-5565	51	8	approach	approach	NOUN
bitcs-5565	51	9	has	have	AUX
bitcs-5565	51	10	been	be	AUX
bitcs-5565	51	11	suggested	suggest	VERB
bitcs-5565	51	12	for	for	ADP
bitcs-5565	51	13	the	the	DET
bitcs-5565	51	14	prediction	prediction	NOUN
bitcs-5565	51	15	of	of	ADP
bitcs-5565	51	16	liver	liver	NOUN
bitcs-5565	51	17	diseases	disease	NOUN
bitcs-5565	51	18	,	,	PUNCT
bitcs-5565	51	19	and	and	CCONJ
bitcs-5565	51	20	data	datum	NOUN
bitcs-5565	51	21	-	-	PUNCT
bitcs-5565	51	22	sets	set	NOUN
bitcs-5565	51	23	have	have	AUX
bitcs-5565	51	24	been	be	AUX
bitcs-5565	51	25	collected	collect	VERB
bitcs-5565	51	26	from	from	ADP
bitcs-5565	51	27	kaggle	kaggle	ADJ
bitcs-5565	51	28	data	data	NOUN
bitcs-5565	51	29	-	-	PUNCT
bitcs-5565	51	30	base	base	NOUN
bitcs-5565	51	31	of	of	ADP
bitcs-5565	51	32	indian	indian	ADJ
bitcs-5565	51	33	liver	liver	NOUN
bitcs-5565	51	34	patient	patient	NOUN
bitcs-5565	51	35	records	record	NOUN
bitcs-5565	51	36	.	.	PUNCT
bitcs-5565	52	1	the	the	DET
bitcs-5565	52	2	suggested	suggest	VERB
bitcs-5565	52	3	model	model	NOUN
bitcs-5565	52	4	was	be	AUX
bitcs-5565	52	5	able	able	ADJ
bitcs-5565	52	6	to	to	PART
bitcs-5565	52	7	achieve	achieve	VERB
bitcs-5565	52	8	a	a	DET
bitcs-5565	52	9	77.58	77.58	NUM
bitcs-5565	52	10	%	%	NOUN
bitcs-5565	52	11	accuracy	accuracy	NOUN
bitcs-5565	52	12	.	.	PUNCT
bitcs-5565	53	1	m.	m.	NOUN
bitcs-5565	53	2	ghosh	ghosh	PROPN
bitcs-5565	53	3	et	et	PROPN
bitcs-5565	53	4	al	al	PROPN
bitcs-5565	53	5	.	.	PUNCT
bitcs-5565	54	1	[	[	X
bitcs-5565	54	2	9	9	NUM
bitcs-5565	54	3	]	]	PUNCT
bitcs-5565	54	4	,	,	PUNCT
bitcs-5565	54	5	aimed	aim	VERB
bitcs-5565	54	6	at	at	ADP
bitcs-5565	54	7	evaluating	evaluate	VERB
bitcs-5565	54	8	a	a	DET
bitcs-5565	54	9	number	number	NOUN
bitcs-5565	54	10	of	of	ADP
bitcs-5565	54	11	the	the	DET
bitcs-5565	54	12	ml	ml	NOUN
bitcs-5565	54	13	outputs	output	NOUN
bitcs-5565	54	14	,	,	PUNCT
bitcs-5565	54	15	such	such	ADJ
bitcs-5565	54	16	as	as	ADP
bitcs-5565	54	17	random	random	ADJ
bitcs-5565	54	18	forest	forest	NOUN
bitcs-5565	54	19	,	,	PUNCT
bitcs-5565	54	20	logistic	logistic	ADJ
bitcs-5565	54	21	regression	regression	NOUN
bitcs-5565	54	22	,	,	PUNCT
bitcs-5565	54	23	xgboost	xgboost	ADV
bitcs-5565	54	24	,	,	PUNCT
bitcs-5565	54	25	svms	svms	NOUN
bitcs-5565	54	26	,	,	PUNCT
bitcs-5565	54	27	adaboost	adaboost	ADV
bitcs-5565	54	28	,	,	PUNCT
bitcs-5565	54	29	decision	decision	NOUN
bitcs-5565	54	30	tree	tree	NOUN
bitcs-5565	54	31	and	and	CCONJ
bitcs-5565	54	32	k	k	PROPN
bitcs-5565	54	33	-	-	PUNCT
bitcs-5565	54	34	nn	nn	PROPN
bitcs-5565	54	35	for	for	ADP
bitcs-5565	54	36	prediction	prediction	NOUN
bitcs-5565	54	37	and	and	CCONJ
bitcs-5565	54	38	diagnosis	diagnosis	NOUN
bitcs-5565	54	39	of	of	ADP
bitcs-5565	54	40	the	the	DET
bitcs-5565	54	41	chronic	chronic	ADJ
bitcs-5565	54	42	liver	liver	NOUN
bitcs-5565	54	43	disease	disease	NOUN
bitcs-5565	54	44	.	.	PUNCT
bitcs-5565	55	1	the	the	DET
bitcs-5565	55	2	algorithms	algorithm	NOUN
bitcs-5565	55	3	of	of	ADP
bitcs-5565	55	4	the	the	DET
bitcs-5565	55	5	classification	classification	NOUN
bitcs-5565	55	6	have	have	AUX
bitcs-5565	55	7	been	be	AUX
bitcs-5565	55	8	assessed	assess	VERB
bitcs-5565	55	9	on	on	ADP
bitcs-5565	55	10	the	the	DET
bitcs-5565	55	11	basis	basis	NOUN
bitcs-5565	55	12	of	of	ADP
bitcs-5565	55	13	different	different	ADJ
bitcs-5565	55	14	criteria	criterion	NOUN
bitcs-5565	55	15	of	of	ADP
bitcs-5565	55	16	measurement	measurement	NOUN
bitcs-5565	55	17	,	,	PUNCT
bitcs-5565	55	18	like	like	ADP
bitcs-5565	55	19	the	the	DET
bitcs-5565	55	20	accuracy	accuracy	NOUN
bitcs-5565	55	21	,	,	PUNCT
bitcs-5565	55	22	f1	f1	NOUN
bitcs-5565	55	23	score	score	NOUN
bitcs-5565	55	24	,	,	PUNCT
bitcs-5565	55	25	precision	precision	NOUN
bitcs-5565	55	26	,	,	PUNCT
bitcs-5565	55	27	recall	recall	NOUN
bitcs-5565	55	28	,	,	PUNCT
bitcs-5565	55	29	area	area	NOUN
bitcs-5565	55	30	under	under	ADP
bitcs-5565	55	31	the	the	DET
bitcs-5565	55	32	curve	curve	NOUN
bitcs-5565	55	33	(	(	PUNCT
bitcs-5565	55	34	auc	auc	NOUN
bitcs-5565	55	35	)	)	PUNCT
bitcs-5565	55	36	,	,	PUNCT
bitcs-5565	55	37	and	and	CCONJ
bitcs-5565	55	38	specificity	specificity	NOUN
bitcs-5565	55	39	.	.	PUNCT
bitcs-5565	56	1	amongst	amongst	ADP
bitcs-5565	56	2	algorithms	algorithm	NOUN
bitcs-5565	56	3	,	,	PUNCT
bitcs-5565	56	4	random	random	ADJ
bitcs-5565	56	5	forest	forest	NOUN
bitcs-5565	56	6	exhibited	exhibit	VERB
bitcs-5565	56	7	superior	superior	ADJ
bitcs-5565	56	8	performance	performance	NOUN
bitcs-5565	56	9	in	in	ADP
bitcs-5565	56	10	the	the	DET
bitcs-5565	56	11	prediction	prediction	NOUN
bitcs-5565	56	12	of	of	ADP
bitcs-5565	56	13	liver	liver	NOUN
bitcs-5565	56	14	diseases	disease	NOUN
bitcs-5565	56	15	with	with	ADP
bitcs-5565	56	16	83.7	83.7	NUM
bitcs-5565	56	17	%	%	NOUN
bitcs-5565	56	18	accuracy	accuracy	NOUN
bitcs-5565	56	19	.	.	PUNCT
bitcs-5565	57	1	n.	n.	PROPN
bitcs-5565	57	2	nahar	nahar	PROPN
bitcs-5565	57	3	et	et	PROPN
bitcs-5565	57	4	al	al	PROPN
bitcs-5565	57	5	.	.	PUNCT
bitcs-5565	58	1	[	[	X
bitcs-5565	58	2	10	10	NUM
bitcs-5565	58	3	]	]	PUNCT
bitcs-5565	58	4	,	,	PUNCT
bitcs-5565	58	5	analyzed	analyze	VERB
bitcs-5565	58	6	a	a	DET
bitcs-5565	58	7	new	new	ADJ
bitcs-5565	58	8	and	and	CCONJ
bitcs-5565	58	9	efficient	efficient	ADJ
bitcs-5565	58	10	method	method	NOUN
bitcs-5565	58	11	of	of	ADP
bitcs-5565	58	12	ensemble	ensemble	ADJ
bitcs-5565	58	13	learning	learning	NOUN
bitcs-5565	58	14	for	for	ADP
bitcs-5565	58	15	classification	classification	NOUN
bitcs-5565	58	16	of	of	ADP
bitcs-5565	58	17	liver	liver	NOUN
bitcs-5565	58	18	diseases	disease	NOUN
bitcs-5565	58	19	,	,	PUNCT
bitcs-5565	58	20	where	where	SCONJ
bitcs-5565	58	21	5	5	NUM
bitcs-5565	58	22	ensemble	ensemble	ADJ
bitcs-5565	58	23	algorithms	algorithm	NOUN
bitcs-5565	58	24	,	,	PUNCT
bitcs-5565	58	25	namely	namely	ADV
bitcs-5565	58	26	adaboost	adaboost	ADV
bitcs-5565	58	27	,	,	PUNCT
bitcs-5565	58	28	beggrep	beggrep	PROPN
bitcs-5565	58	29	,	,	PUNCT
bitcs-5565	58	30	logitboost	logitboost	NOUN
bitcs-5565	58	31	,	,	PUNCT
bitcs-5565	58	32	begg	begg	NOUN
bitcs-5565	58	33	-	-	PUNCT
bitcs-5565	58	34	j48	j48	PROPN
bitcs-5565	58	35	,	,	PUNCT
bitcs-5565	58	36	and	and	CCONJ
bitcs-5565	58	37	random	random	ADJ
bitcs-5565	58	38	forest	forest	NOUN
bitcs-5565	58	39	have	have	AUX
bitcs-5565	58	40	been	be	AUX
bitcs-5565	58	41	implemented	implement	VERB
bitcs-5565	58	42	and	and	CCONJ
bitcs-5565	58	43	compared	compare	VERB
bitcs-5565	58	44	based	base	VERB
bitcs-5565	58	45	on	on	ADP
bitcs-5565	58	46	accuracy	accuracy	NOUN
bitcs-5565	58	47	,	,	PUNCT
bitcs-5565	58	48	fpr	fpr	NOUN
bitcs-5565	58	49	,	,	PUNCT
bitcs-5565	58	50	rmse	rmse	PROPN
bitcs-5565	58	51	tpr	tpr	PROPN
bitcs-5565	58	52	,	,	PUNCT
bitcs-5565	58	53	and	and	CCONJ
bitcs-5565	58	54	roc	roc	PROPN
bitcs-5565	58	55	curve	curve	NOUN
bitcs-5565	58	56	.	.	PUNCT
bitcs-5565	59	1	logitboost	logitboost	PROPN
bitcs-5565	59	2	outperformed	outperform	VERB
bitcs-5565	59	3	the	the	DET
bitcs-5565	59	4	rest	rest	NOUN
bitcs-5565	59	5	of	of	ADP
bitcs-5565	59	6	the	the	DET
bitcs-5565	59	7	ensemble	ensemble	ADJ
bitcs-5565	59	8	methods	method	NOUN
bitcs-5565	59	9	,	,	PUNCT
bitcs-5565	59	10	where	where	SCONJ
bitcs-5565	59	11	its	its	PRON
bitcs-5565	59	12	accuracy	accuracy	NOUN
bitcs-5565	59	13	has	have	AUX
bitcs-5565	59	14	been	be	AUX
bitcs-5565	59	15	71.53	71.53	NUM
bitcs-5565	59	16	%	%	NOUN
bitcs-5565	59	17	.	.	PUNCT
bitcs-5565	60	1	this	this	DET
bitcs-5565	60	2	paper	paper	NOUN
bitcs-5565	60	3	has	have	AUX
bitcs-5565	60	4	codified	codify	VERB
bitcs-5565	60	5	an	an	DET
bitcs-5565	60	6	effective	effective	ADJ
bitcs-5565	60	7	process	process	NOUN
bitcs-5565	60	8	for	for	ADP
bitcs-5565	60	9	diagnosing	diagnose	VERB
bitcs-5565	60	10	liver	liver	NOUN
bitcs-5565	60	11	disease	disease	NOUN
bitcs-5565	60	12	using	use	VERB
bitcs-5565	60	13	deep	deep	ADJ
bitcs-5565	60	14	learning	learning	NOUN
bitcs-5565	60	15	giving	give	VERB
bitcs-5565	60	16	it	it	PRON
bitcs-5565	60	17	a	a	DET
bitcs-5565	60	18	web	web	NOUN
bitcs-5565	60	19	-	-	PUNCT
bitcs-5565	60	20	based	base	VERB
bitcs-5565	60	21	approach	approach	NOUN
bitcs-5565	60	22	.	.	PUNCT
bitcs-5565	61	1	the	the	DET
bitcs-5565	61	2	model	model	NOUN
bitcs-5565	61	3	attained	attain	VERB
bitcs-5565	61	4	an	an	DET
bitcs-5565	61	5	accuracy	accuracy	NOUN
bitcs-5565	61	6	of	of	ADP
bitcs-5565	61	7	67.6	67.6	NUM
bitcs-5565	61	8	percent	percent	NOUN
bitcs-5565	61	9	and	and	CCONJ
bitcs-5565	61	10	this	this	DET
bitcs-5565	61	11	model	model	NOUN
bitcs-5565	61	12	predicts	predict	VERB
bitcs-5565	61	13	whether	whether	SCONJ
bitcs-5565	61	14	the	the	DET
bitcs-5565	61	15	user	user	NOUN
bitcs-5565	61	16	is	be	AUX
bitcs-5565	61	17	having	have	VERB
bitcs-5565	61	18	a	a	DET
bitcs-5565	61	19	liver	liver	NOUN
bitcs-5565	61	20	disease	disease	NOUN
bitcs-5565	61	21	or	or	CCONJ
bitcs-5565	61	22	not	not	PART
bitcs-5565	61	23	.	.	PUNCT
bitcs-5565	62	1	iii	iii	X
bitcs-5565	62	2	.	.	PUNCT
bitcs-5565	62	3	materials	material	NOUN
bitcs-5565	62	4	and	and	CCONJ
bitcs-5565	62	5	method	method	NOUN
bitcs-5565	62	6	fig.1	fig.1	PROPN
bitcs-5565	62	7	.	.	PUNCT
bitcs-5565	63	1	overall	overall	ADJ
bitcs-5565	63	2	process	process	NOUN
bitcs-5565	63	3	of	of	ADP
bitcs-5565	63	4	liver	liver	NOUN
bitcs-5565	63	5	disease	disease	NOUN
bitcs-5565	63	6	model	model	NOUN
bitcs-5565	63	7	a.	a.	NOUN
bitcs-5565	63	8	dataset	dataset	PROPN
bitcs-5565	63	9	and	and	CCONJ
bitcs-5565	63	10	attributes	attribute	NOUN
bitcs-5565	63	11	presently	presently	ADV
bitcs-5565	63	12	,	,	PUNCT
bitcs-5565	63	13	there	there	PRON
bitcs-5565	63	14	is	be	VERB
bitcs-5565	63	15	a	a	DET
bitcs-5565	63	16	wide	wide	ADJ
bitcs-5565	63	17	range	range	NOUN
bitcs-5565	63	18	of	of	ADP
bitcs-5565	63	19	the	the	DET
bitcs-5565	63	20	data	data	NOUN
bitcs-5565	63	21	-	-	PUNCT
bitcs-5565	63	22	sets	set	NOUN
bitcs-5565	63	23	related	relate	VERB
bitcs-5565	63	24	to	to	ADP
bitcs-5565	63	25	liver	liver	NOUN
bitcs-5565	63	26	diseases	disease	NOUN
bitcs-5565	63	27	.	.	PUNCT
bitcs-5565	64	1	in	in	ADP
bitcs-5565	64	2	the	the	DET
bitcs-5565	64	3	present	present	ADJ
bitcs-5565	64	4	paper	paper	NOUN
bitcs-5565	64	5	,	,	PUNCT
bitcs-5565	64	6	ilpd	ilpd	NOUN
bitcs-5565	64	7	has	have	AUX
bitcs-5565	64	8	been	be	AUX
bitcs-5565	64	9	utilized	utilize	VERB
bitcs-5565	64	10	,	,	PUNCT
bitcs-5565	64	11	it	it	PRON
bitcs-5565	64	12	includes	include	VERB
bitcs-5565	64	13	583	583	NUM
bitcs-5565	64	14	rows	row	NOUN
bitcs-5565	64	15	and	and	CCONJ
bitcs-5565	64	16	2	2	NUM
bitcs-5565	64	17	classes	class	NOUN
bitcs-5565	64	18	.	.	PUNCT
bitcs-5565	65	1	where	where	SCONJ
bitcs-5565	65	2	1st	1st	ADJ
bitcs-5565	65	3	class	class	NOUN
bitcs-5565	65	4	is	be	AUX
bitcs-5565	65	5	associated	associate	VERB
bitcs-5565	65	6	with	with	ADP
bitcs-5565	65	7	the	the	DET
bitcs-5565	65	8	patient	patient	NOUN
bitcs-5565	65	9	records	record	NOUN
bitcs-5565	65	10	(	(	PUNCT
bitcs-5565	65	11	prs	prs	NOUN
bitcs-5565	65	12	)	)	PUNCT
bitcs-5565	65	13	of	of	ADP
bitcs-5565	65	14	the	the	DET
bitcs-5565	65	15	liver	liver	NOUN
bitcs-5565	65	16	disease	disease	NOUN
bitcs-5565	65	17	and	and	CCONJ
bitcs-5565	65	18	includes	include	VERB
bitcs-5565	65	19	416	416	NUM
bitcs-5565	65	20	records	record	NOUN
bitcs-5565	65	21	,	,	PUNCT
bitcs-5565	65	22	the	the	DET
bitcs-5565	65	23	2nd	2nd	ADJ
bitcs-5565	65	24	one	one	NOUN
bitcs-5565	65	25	is	be	AUX
bitcs-5565	65	26	for	for	ADP
bitcs-5565	65	27	the	the	DET
bitcs-5565	65	28	non	non	ADJ
bitcs-5565	65	29	-	-	NOUN
bitcs-5565	65	30	liver	liver	ADJ
bitcs-5565	65	31	(	(	PUNCT
bitcs-5565	65	32	pr	pr	NOUN
bitcs-5565	65	33	)	)	PUNCT
bitcs-5565	65	34	and	and	CCONJ
bitcs-5565	65	35	consists	consist	VERB
bitcs-5565	65	36	of	of	ADP
bitcs-5565	65	37	167	167	NUM
bitcs-5565	65	38	records	record	NOUN
bitcs-5565	65	39	determined	determine	VERB
bitcs-5565	65	40	with	with	ADP
bitcs-5565	65	41	the	the	DET
bitcs-5565	65	42	use	use	NOUN
bitcs-5565	65	43	of	of	ADP
bitcs-5565	65	44	the	the	DET
bitcs-5565	65	45	summation	summation	NOUN
bitcs-5565	65	46	of	of	ADP
bitcs-5565	65	47	every	every	DET
bitcs-5565	65	48	sector	sector	NOUN
bitcs-5565	65	49	field	field	NOUN
bitcs-5565	65	50	.	.	PUNCT
bitcs-5565	66	1	fig1	fig1	PROPN
bitcs-5565	66	2	illustrates	illustrate	VERB
bitcs-5565	66	3	the	the	DET
bitcs-5565	66	4	distribution	distribution	NOUN
bitcs-5565	66	5	of	of	ADP
bitcs-5565	66	6	the	the	DET
bitcs-5565	66	7	data	datum	NOUN
bitcs-5565	66	8	in	in	ADP
bitcs-5565	66	9	data	data	NOUN
bitcs-5565	66	10	-	-	PUNCT
bitcs-5565	66	11	set	set	NOUN
bitcs-5565	66	12	.	.	PUNCT
bitcs-5565	67	1	in	in	ADP
bitcs-5565	67	2	general	general	ADJ
bitcs-5565	67	3	,	,	PUNCT
bitcs-5565	67	4	the	the	DET
bitcs-5565	67	5	data	data	NOUN
bitcs-5565	67	6	-	-	PUNCT
bitcs-5565	67	7	set	set	NOUN
bitcs-5565	67	8	includes	include	VERB
bitcs-5565	67	9	11	11	NUM
bitcs-5565	67	10	columns	column	NOUN
bitcs-5565	67	11	for	for	ADP
bitcs-5565	67	12	142	142	NUM
bitcs-5565	67	13	females	female	NOUN
bitcs-5565	67	14	and	and	CCONJ
bitcs-5565	67	15	441	441	NUM
bitcs-5565	67	16	male	male	ADJ
bitcs-5565	67	17	patients	patient	NOUN
bitcs-5565	67	18	.	.	PUNCT
bitcs-5565	68	1	details	detail	NOUN
bitcs-5565	68	2	have	have	AUX
bitcs-5565	68	3	been	be	AUX
bitcs-5565	68	4	listed	list	VERB
bitcs-5565	68	5	in	in	ADP
bitcs-5565	68	6	table1	table1	PROPN
bitcs-5565	68	7	.	.	PUNCT
bitcs-5565	69	1	vol	vol	NOUN
bitcs-5565	69	2	.	.	PROPN
bitcs-5565	70	1	4	4	NUM
bitcs-5565	70	2	,	,	PUNCT
bitcs-5565	70	3	no.2	no.2	PROPN
bitcs-5565	70	4	july	july	PROPN
bitcs-5565	70	5	2023	2023	NUM
bitcs-5565	71	1	|	|	ADV
bitcs-5565	71	2	88	88	NUM
bitcs-5565	71	3	table1	table1	PROPN
bitcs-5565	71	4	.	.	PUNCT
bitcs-5565	72	1	attributes	attribute	NOUN
bitcs-5565	72	2	of	of	ADP
bitcs-5565	72	3	the	the	DET
bitcs-5565	72	4	dataset	dataset	NOUN
bitcs-5565	72	5	no	no	DET
bitcs-5565	72	6	attributes	attribute	NOUN
bitcs-5565	72	7	type	type	NOUN
bitcs-5565	72	8	range	range	NOUN
bitcs-5565	72	9	1	1	NUM
bitcs-5565	72	10	age	age	NOUN
bitcs-5565	72	11	:	:	PUNCT
bitcs-5565	72	12	patient	patient	ADJ
bitcs-5565	72	13	age	age	NOUN
bitcs-5565	72	14	interval	interval	NOUN
bitcs-5565	72	15	[	[	X
bitcs-5565	72	16	4	4	NUM
bitcs-5565	72	17	-	-	SYM
bitcs-5565	72	18	90	90	NUM
bitcs-5565	72	19	]	]	SYM
bitcs-5565	72	20	2	2	NUM
bitcs-5565	72	21	gender	gender	NOUN
bitcs-5565	72	22	:	:	PUNCT
bitcs-5565	72	23	patient	patient	ADJ
bitcs-5565	72	24	gender	gender	NOUN
bitcs-5565	72	25	nominal	nominal	NOUN
bitcs-5565	73	1	[	[	X
bitcs-5565	73	2	femalemale	femalemale	NOUN
bitcs-5565	73	3	]	]	X
bitcs-5565	73	4	3	3	NUM
bitcs-5565	73	5	tb	tb	NOUN
bitcs-5565	73	6	:	:	PUNCT
bitcs-5565	73	7	total	total	ADJ
bitcs-5565	73	8	bilirubin	bilirubin	NOUN
bitcs-5565	73	9	interval	interval	NOUN
bitcs-5565	73	10	[	[	X
bitcs-5565	73	11	0.40	0.40	NUM
bitcs-5565	73	12	-	-	SYM
bitcs-5565	73	13	75	75	NUM
bitcs-5565	73	14	]	]	SYM
bitcs-5565	73	15	4	4	NUM
bitcs-5565	73	16	db	db	ADJ
bitcs-5565	73	17	:	:	PUNCT
bitcs-5565	73	18	direct	direct	ADJ
bitcs-5565	73	19	bilirubin	bilirubin	NOUN
bitcs-5565	73	20	interval	interval	NOUN
bitcs-5565	73	21	[	[	X
bitcs-5565	73	22	0.10	0.10	NUM
bitcs-5565	73	23	-	-	SYM
bitcs-5565	73	24	19.70	19.70	NUM
bitcs-5565	73	25	]	]	SYM
bitcs-5565	73	26	5	5	NUM
bitcs-5565	73	27	alkphos	alkphos	ADJ
bitcs-5565	73	28	:	:	PUNCT
bitcs-5565	73	29	alkaline	alkaline	NOUN
bitcs-5565	73	30	phosphotase	phosphotase	NOUN
bitcs-5565	73	31	interval	interval	NOUN
bitcs-5565	73	32	[	[	X
bitcs-5565	73	33	63	63	NUM
bitcs-5565	73	34	-	-	SYM
bitcs-5565	73	35	2,110	2,110	NUM
bitcs-5565	73	36	]	]	SYM
bitcs-5565	73	37	6	6	NUM
bitcs-5565	73	38	sgpt	sgpt	NOUN
bitcs-5565	73	39	alamine	alamine	NOUN
bitcs-5565	73	40	:	:	PUNCT
bitcs-5565	73	41	amino	amino	NOUN
bitcs-5565	73	42	-	-	PUNCT
bitcs-5565	73	43	transferase	transferase	NOUN
bitcs-5565	73	44	interval	interval	NOUN
bitcs-5565	73	45	[	[	X
bitcs-5565	73	46	10	10	NUM
bitcs-5565	73	47	-	-	SYM
bitcs-5565	73	48	2,000	2,000	NUM
bitcs-5565	73	49	]	]	SYM
bitcs-5565	73	50	7	7	NUM
bitcs-5565	73	51	sgot	sgot	VERB
bitcs-5565	73	52	aspartate	aspartate	NOUN
bitcs-5565	73	53	:	:	PUNCT
bitcs-5565	73	54	amino	amino	NOUN
bitcs-5565	73	55	-	-	PUNCT
bitcs-5565	73	56	transferase	transferase	NOUN
bitcs-5565	73	57	interval	interval	NOUN
bitcs-5565	73	58	[	[	X
bitcs-5565	73	59	10	10	NUM
bitcs-5565	73	60	-	-	SYM
bitcs-5565	73	61	4,929	4,929	NUM
bitcs-5565	73	62	]	]	PUNCT
bitcs-5565	73	63	8	8	NUM
bitcs-5565	73	64	tp	tp	NOUN
bitcs-5565	73	65	:	:	PUNCT
bitcs-5565	73	66	total	total	ADJ
bitcs-5565	73	67	protiens	protien	NOUN
bitcs-5565	73	68	interval	interval	NOUN
bitcs-5565	73	69	[	[	X
bitcs-5565	73	70	2.70	2.70	NUM
bitcs-5565	73	71	-	-	SYM
bitcs-5565	73	72	9.60	9.60	NUM
bitcs-5565	73	73	]	]	PUNCT
bitcs-5565	73	74	9	9	NUM
bitcs-5565	73	75	alb	alb	ADJ
bitcs-5565	73	76	:	:	PUNCT
bitcs-5565	73	77	albumin	albumin	ADJ
bitcs-5565	73	78	interval	interval	NOUN
bitcs-5565	73	79	[	[	X
bitcs-5565	73	80	0.90	0.90	NUM
bitcs-5565	73	81	-	-	SYM
bitcs-5565	73	82	5.50	5.50	NUM
bitcs-5565	73	83	]	]	PUNCT
bitcs-5565	73	84	10	10	NUM
bitcs-5565	73	85	a	a	DET
bitcs-5565	73	86	/	/	SYM
bitcs-5565	73	87	g	g	NOUN
bitcs-5565	73	88	ratio	ratio	NOUN
bitcs-5565	73	89	:	:	PUNCT
bitcs-5565	73	90	ratio	ratio	NOUN
bitcs-5565	73	91	of	of	ADP
bitcs-5565	73	92	albumin	albumin	ADJ
bitcs-5565	73	93	and	and	CCONJ
bitcs-5565	73	94	globulin	globulin	NOUN
bitcs-5565	73	95	interval	interval	NOUN
bitcs-5565	73	96	[	[	X
bitcs-5565	73	97	0.30	0.30	NUM
bitcs-5565	73	98	-	-	SYM
bitcs-5565	73	99	2.80	2.80	NUM
bitcs-5565	73	100	]	]	PUNCT
bitcs-5565	73	101	11	11	NUM
bitcs-5565	73	102	selector	selector	NOUN
bitcs-5565	73	103	field	field	NOUN
bitcs-5565	73	104	*	*	PUNCT
bitcs-5565	73	105	binary	binary	NOUN
bitcs-5565	73	106	[	[	X
bitcs-5565	73	107	1	1	NUM
bitcs-5565	73	108	-	-	SYM
bitcs-5565	73	109	2	2	NUM
bitcs-5565	73	110	]	]	PUNCT
bitcs-5565	73	111	fig	fig	NOUN
bitcs-5565	73	112	.	.	PUNCT
bitcs-5565	74	1	1	1	X
bitcs-5565	74	2	.	.	PUNCT
bitcs-5565	74	3	the	the	DET
bitcs-5565	74	4	number	number	NOUN
bitcs-5565	74	5	of	of	ADP
bitcs-5565	74	6	patients	patient	NOUN
bitcs-5565	74	7	in	in	ADP
bitcs-5565	74	8	the	the	DET
bitcs-5565	74	9	dataset	dataset	PROPN
bitcs-5565	74	10	b.	b.	PROPN
bitcs-5565	74	11	dataset	dataset	PROPN
bitcs-5565	74	12	pre	pre	ADJ
bitcs-5565	74	13	-	-	ADJ
bitcs-5565	74	14	processing	processing	ADJ
bitcs-5565	74	15	pre	pre	ADJ
bitcs-5565	74	16	-	-	ADJ
bitcs-5565	74	17	processing	processing	NOUN
bitcs-5565	74	18	can	can	AUX
bitcs-5565	74	19	be	be	AUX
bitcs-5565	74	20	defined	define	VERB
bitcs-5565	74	21	as	as	ADP
bitcs-5565	74	22	a	a	DET
bitcs-5565	74	23	highly	highly	ADV
bitcs-5565	74	24	vital	vital	ADJ
bitcs-5565	74	25	stage	stage	NOUN
bitcs-5565	74	26	in	in	ADP
bitcs-5565	74	27	ml	ml	ADP
bitcs-5565	74	28	classification	classification	NOUN
bitcs-5565	74	29	as	as	ADP
bitcs-5565	74	30	the	the	DET
bitcs-5565	74	31	cleaner	clean	ADJ
bitcs-5565	74	32	the	the	DET
bitcs-5565	74	33	data	datum	NOUN
bitcs-5565	74	34	,	,	PUNCT
bitcs-5565	74	35	then	then	ADV
bitcs-5565	74	36	the	the	DET
bitcs-5565	74	37	better	well	ADJ
bitcs-5565	74	38	are	be	AUX
bitcs-5565	74	39	the	the	DET
bitcs-5565	74	40	result	result	NOUN
bitcs-5565	74	41	of	of	ADP
bitcs-5565	74	42	classification	classification	NOUN
bitcs-5565	74	43	tends	tend	VERB
bitcs-5565	74	44	to	to	PART
bitcs-5565	74	45	be	be	AUX
bitcs-5565	74	46	[	[	PUNCT
bitcs-5565	74	47	11	11	NUM
bitcs-5565	74	48	]	]	PUNCT
bitcs-5565	74	49	.	.	PUNCT
bitcs-5565	75	1	the	the	DET
bitcs-5565	75	2	methods	method	NOUN
bitcs-5565	75	3	of	of	ADP
bitcs-5565	75	4	preprocessing	preprocessing	NOUN
bitcs-5565	75	5	that	that	PRON
bitcs-5565	75	6	have	have	AUX
bitcs-5565	75	7	been	be	AUX
bitcs-5565	75	8	applied	apply	VERB
bitcs-5565	75	9	in	in	ADP
bitcs-5565	75	10	the	the	DET
bitcs-5565	75	11	model	model	NOUN
bitcs-5565	75	12	can	can	AUX
bitcs-5565	75	13	be	be	AUX
bitcs-5565	75	14	explained	explain	VERB
bitcs-5565	75	15	as	as	ADP
bitcs-5565	75	16	:	:	PUNCT
bitcs-5565	75	17	a.	a.	NOUN
bitcs-5565	75	18	reducing	reduce	VERB
bitcs-5565	75	19	noisy	noisy	ADJ
bitcs-5565	75	20	data	datum	NOUN
bitcs-5565	75	21	:	:	PUNCT
bitcs-5565	75	22	there	there	PRON
bitcs-5565	75	23	are	be	VERB
bitcs-5565	75	24	2	2	NUM
bitcs-5565	75	25	data	datum	NOUN
bitcs-5565	75	26	noise	noise	NOUN
bitcs-5565	75	27	types	type	NOUN
bitcs-5565	75	28	in	in	ADP
bitcs-5565	75	29	ml	ml	ADP
bitcs-5565	75	30	,	,	PUNCT
bitcs-5565	75	31	which	which	PRON
bitcs-5565	75	32	include	include	VERB
bitcs-5565	75	33	:	:	PUNCT
bitcs-5565	75	34	class	class	NOUN
bitcs-5565	75	35	noise	noise	NOUN
bitcs-5565	75	36	and	and	CCONJ
bitcs-5565	75	37	attribute	attribute	NOUN
bitcs-5565	75	38	noise	noise	NOUN
bitcs-5565	75	39	.	.	PUNCT
bitcs-5565	76	1	none	none	NOUN
bitcs-5565	76	2	-	-	PUNCT
bitcs-5565	76	3	the	the	PRON
bitcs-5565	76	4	-	-	PUNCT
bitcs-5565	76	5	less	less	ADJ
bitcs-5565	76	6	,	,	PUNCT
bitcs-5565	76	7	for	for	ADP
bitcs-5565	76	8	the	the	DET
bitcs-5565	76	9	maximum	maximum	ADJ
bitcs-5565	76	10	accuracy	accuracy	NOUN
bitcs-5565	76	11	in	in	ADP
bitcs-5565	76	12	suggested	suggested	ADJ
bitcs-5565	76	13	model	model	NOUN
bitcs-5565	76	14	,	,	PUNCT
bitcs-5565	76	15	the	the	DET
bitcs-5565	76	16	attribute	attribute	NOUN
bitcs-5565	76	17	noise	noise	NOUN
bitcs-5565	76	18	is	be	AUX
bitcs-5565	76	19	decreased	decrease	VERB
bitcs-5565	76	20	for	for	ADP
bitcs-5565	76	21	enhanced	enhanced	ADJ
bitcs-5565	76	22	accuracy	accuracy	NOUN
bitcs-5565	76	23	with	with	ADP
bitcs-5565	76	24	the	the	DET
bitcs-5565	76	25	use	use	NOUN
bitcs-5565	76	26	of	of	ADP
bitcs-5565	76	27	panda	panda	NOUN
bitcs-5565	76	28	library	library	NOUN
bitcs-5565	76	29	.	.	PUNCT
bitcs-5565	77	1	b.	b.	PROPN
bitcs-5565	77	2	data	data	PROPN
bitcs-5565	77	3	transformation	transformation	NOUN
bitcs-5565	77	4	:	:	PUNCT
bitcs-5565	77	5	which	which	PRON
bitcs-5565	77	6	indicates	indicate	VERB
bitcs-5565	77	7	the	the	DET
bitcs-5565	77	8	process	process	NOUN
bitcs-5565	77	9	of	of	ADP
bitcs-5565	77	10	the	the	DET
bitcs-5565	77	11	reorganization	reorganization	NOUN
bitcs-5565	77	12	or	or	CCONJ
bitcs-5565	77	13	re	re	NOUN
bitcs-5565	77	14	-	-	NOUN
bitcs-5565	77	15	structuring	structuring	NOUN
bitcs-5565	77	16	of	of	ADP
bitcs-5565	77	17	the	the	DET
bitcs-5565	77	18	raw	raw	ADJ
bitcs-5565	77	19	data	datum	NOUN
bitcs-5565	77	20	.	.	PUNCT
bitcs-5565	78	1	it	it	PRON
bitcs-5565	78	2	’s	’s	AUX
bitcs-5565	78	3	utilized	utilize	VERB
bitcs-5565	78	4	for	for	ADP
bitcs-5565	78	5	the	the	DET
bitcs-5565	78	6	purpose	purpose	NOUN
bitcs-5565	78	7	of	of	ADP
bitcs-5565	78	8	transforming	transform	VERB
bitcs-5565	78	9	the	the	DET
bitcs-5565	78	10	raw	raw	ADJ
bitcs-5565	78	11	data	datum	NOUN
bitcs-5565	78	12	to	to	ADP
bitcs-5565	78	13	proper	proper	ADJ
bitcs-5565	78	14	format	format	NOUN
bitcs-5565	78	15	allowing	allow	VERB
bitcs-5565	78	16	the	the	DET
bitcs-5565	78	17	data	data	NOUN
bitcs-5565	78	18	mining	mining	NOUN
bitcs-5565	78	19	to	to	PART
bitcs-5565	78	20	obtain	obtain	VERB
bitcs-5565	78	21	the	the	DET
bitcs-5565	78	22	strategic	strategic	ADJ
bitcs-5565	78	23	information	information	NOUN
bitcs-5565	78	24	faster	fast	ADV
bitcs-5565	78	25	and	and	CCONJ
bitcs-5565	78	26	in	in	ADP
bitcs-5565	78	27	a	a	DET
bitcs-5565	78	28	more	more	ADV
bitcs-5565	78	29	effective	effective	ADJ
bitcs-5565	78	30	way	way	NOUN
bitcs-5565	78	31	.	.	PUNCT
bitcs-5565	79	1	c.	c.	PROPN
bitcs-5565	79	2	standard	standard	PROPN
bitcs-5565	79	3	scalar	scalar	NOUN
bitcs-5565	79	4	:	:	PUNCT
bitcs-5565	79	5	which	which	PRON
bitcs-5565	79	6	transforms	transform	VERB
bitcs-5565	79	7	the	the	DET
bitcs-5565	79	8	data	datum	NOUN
bitcs-5565	79	9	in	in	ADP
bitcs-5565	79	10	a	a	DET
bitcs-5565	79	11	way	way	NOUN
bitcs-5565	79	12	that	that	PRON
bitcs-5565	79	13	its	its	PRON
bitcs-5565	79	14	distribution	distribution	NOUN
bitcs-5565	79	15	has	have	VERB
bitcs-5565	79	16	an	an	DET
bitcs-5565	79	17	average	average	ADJ
bitcs-5565	79	18	value	value	NOUN
bitcs-5565	79	19	of	of	ADP
bitcs-5565	79	20	0	0	NUM
bitcs-5565	79	21	as	as	ADV
bitcs-5565	79	22	well	well	ADV
bitcs-5565	79	23	as	as	ADP
bitcs-5565	79	24	a	a	DET
bitcs-5565	79	25	standard	standard	ADJ
bitcs-5565	79	26	deviation	deviation	NOUN
bitcs-5565	79	27	that	that	PRON
bitcs-5565	79	28	equals	equal	VERB
bitcs-5565	79	29	to	to	ADP
bitcs-5565	79	30	1	1	NUM
bitcs-5565	79	31	.	.	PUNCT
bitcs-5565	80	1	the	the	DET
bitcs-5565	80	2	aggregate	aggregate	ADJ
bitcs-5565	80	3	functions	function	NOUN
bitcs-5565	80	4	conduct	conduct	VERB
bitcs-5565	80	5	the	the	DET
bitcs-5565	80	6	operations	operation	NOUN
bitcs-5565	80	7	on	on	ADP
bitcs-5565	80	8	column	column	NOUN
bitcs-5565	80	9	values	value	VERB
bitcs-5565	80	10	them	they	PRON
bitcs-5565	80	11	return	return	VERB
bitcs-5565	80	12	one	one	NUM
bitcs-5565	80	13	value	value	NOUN
bitcs-5565	80	14	.	.	PUNCT
bitcs-5565	81	1	c.	c.	NOUN
bitcs-5565	81	2	oversampling	oversample	VERB
bitcs-5565	81	3	oversampling	oversample	VERB
bitcs-5565	81	4	refers	refer	NOUN
bitcs-5565	81	5	to	to	ADP
bitcs-5565	81	6	the	the	DET
bitcs-5565	81	7	random	random	ADJ
bitcs-5565	81	8	duplication	duplication	NOUN
bitcs-5565	81	9	of	of	ADP
bitcs-5565	81	10	the	the	DET
bitcs-5565	81	11	minority	minority	NOUN
bitcs-5565	81	12	class	class	NOUN
bitcs-5565	81	13	values	value	NOUN
bitcs-5565	81	14	.	.	PUNCT
bitcs-5565	82	1	as	as	SCONJ
bitcs-5565	82	2	we	we	PRON
bitcs-5565	82	3	have	have	AUX
bitcs-5565	82	4	already	already	ADV
bitcs-5565	82	5	seen	see	VERB
bitcs-5565	82	6	,	,	PUNCT
bitcs-5565	82	7	the	the	DET
bitcs-5565	82	8	ipld	ipld	NOUN
bitcs-5565	82	9	dataset	dataset	NOUN
bitcs-5565	82	10	has	have	VERB
bitcs-5565	82	11	167	167	NUM
bitcs-5565	82	12	non	non	ADJ
bitcs-5565	82	13	-	-	ADJ
bitcs-5565	82	14	liver	liver	ADJ
bitcs-5565	82	15	samples	sample	NOUN
bitcs-5565	82	16	and	and	CCONJ
bitcs-5565	82	17	416	416	NUM
bitcs-5565	82	18	liver	liver	NOUN
bitcs-5565	82	19	samples	sample	NOUN
bitcs-5565	82	20	.	.	PUNCT
bitcs-5565	83	1	therefore	therefore	ADV
bitcs-5565	83	2	,	,	PUNCT
bitcs-5565	83	3	it	it	PRON
bitcs-5565	83	4	may	may	AUX
bitcs-5565	83	5	suffer	suffer	VERB
bitcs-5565	83	6	from	from	ADP
bitcs-5565	83	7	imbalanced	imbalanced	ADJ
bitcs-5565	83	8	class	class	NOUN
bitcs-5565	83	9	distribution	distribution	NOUN
bitcs-5565	83	10	issue	issue	NOUN
bitcs-5565	83	11	that	that	SCONJ
bitcs-5565	83	12	the	the	DET
bitcs-5565	83	13	class	class	NOUN
bitcs-5565	83	14	of	of	ADP
bitcs-5565	83	15	the	the	DET
bitcs-5565	83	16	majority	majority	NOUN
bitcs-5565	83	17	may	may	AUX
bitcs-5565	83	18	bias	bias	VERB
bitcs-5565	83	19	prediction	prediction	NOUN
bitcs-5565	83	20	.	.	PUNCT
bitcs-5565	84	1	to	to	PART
bitcs-5565	84	2	overcome	overcome	VERB
bitcs-5565	84	3	this	this	DET
bitcs-5565	84	4	problem	problem	NOUN
bitcs-5565	84	5	,	,	PUNCT
bitcs-5565	84	6	random	random	ADJ
bitcs-5565	84	7	oversampling	oversampling	NOUN
bitcs-5565	84	8	is	be	AUX
bitcs-5565	84	9	used	use	VERB
bitcs-5565	84	10	to	to	PART
bitcs-5565	84	11	increase	increase	VERB
bitcs-5565	84	12	the	the	DET
bitcs-5565	84	13	majority	majority	NOUN
bitcs-5565	84	14	of	of	ADP
bitcs-5565	84	15	class	class	NOUN
bitcs-5565	84	16	samples	sample	NOUN
bitcs-5565	84	17	.	.	PUNCT
bitcs-5565	85	1	d.	d.	NOUN
bitcs-5565	85	2	feature	feature	VERB
bitcs-5565	85	3	scaling	scale	VERB
bitcs-5565	85	4	feature	feature	NOUN
bitcs-5565	85	5	scaling	scale	VERB
bitcs-5565	85	6	normalizes	normalize	VERB
bitcs-5565	85	7	feature	feature	NOUN
bitcs-5565	85	8	values	value	NOUN
bitcs-5565	85	9	in	in	ADP
bitcs-5565	85	10	a	a	DET
bitcs-5565	85	11	pre	pre	ADJ
bitcs-5565	85	12	-	-	ADJ
bitcs-5565	85	13	defined	define	VERB
bitcs-5565	85	14	range	range	NOUN
bitcs-5565	85	15	.	.	PUNCT
bitcs-5565	86	1	it	it	PRON
bitcs-5565	86	2	’s	’	VERB
bitcs-5565	86	3	a	a	DET
bitcs-5565	86	4	very	very	ADV
bitcs-5565	86	5	vital	vital	ADJ
bitcs-5565	86	6	step	step	NOUN
bitcs-5565	86	7	for	for	ADP
bitcs-5565	86	8	building	build	VERB
bitcs-5565	86	9	a	a	DET
bitcs-5565	86	10	machine	machine	NOUN
bitcs-5565	86	11	learning	learn	VERB
bitcs-5565	86	12	model	model	NOUN
bitcs-5565	86	13	.	.	PUNCT
bitcs-5565	87	1	it	it	PRON
bitcs-5565	87	2	reduces	reduce	VERB
bitcs-5565	87	3	the	the	DET
bitcs-5565	87	4	training	training	NOUN
bitcs-5565	87	5	time	time	NOUN
bitcs-5565	87	6	and	and	CCONJ
bitcs-5565	87	7	sometimes	sometimes	ADV
bitcs-5565	87	8	helps	help	VERB
bitcs-5565	87	9	to	to	PART
bitcs-5565	87	10	achieve	achieve	VERB
bitcs-5565	87	11	faster	fast	ADJ
bitcs-5565	87	12	1	1	NUM
bitcs-5565	87	13	6	6	NUM
bitcs-5565	87	14	7	7	NUM
bitcs-5565	87	15	4	4	NUM
bitcs-5565	87	16	1	1	NUM
bitcs-5565	87	17	6	6	NUM
bitcs-5565	87	18	n	n	NUM
bitcs-5565	87	19	o	o	NOUN
bitcs-5565	87	20	n	n	X
bitcs-5565	87	21	l	l	NOUN
bitcs-5565	88	1	i	i	PRON
bitcs-5565	88	2	v	v	X
bitcs-5565	88	3	e	e	NOUN
bitcs-5565	88	4	r	r	NOUN
bitcs-5565	88	5	l	l	NOUN
bitcs-5565	89	1	i	i	PRON
bitcs-5565	89	2	v	v	X
bitcs-5565	89	3	e	e	NOUN
bitcs-5565	89	4	r	r	NOUN
bitcs-5565	89	5	vol	vol	NOUN
bitcs-5565	89	6	.	.	PROPN
bitcs-5565	89	7	4	4	NUM
bitcs-5565	89	8	,	,	PUNCT
bitcs-5565	89	9	no.2	no.2	PROPN
bitcs-5565	89	10	july	july	PROPN
bitcs-5565	89	11	2023	2023	NUM
bitcs-5565	89	12	|	|	ADV
bitcs-5565	89	13	89	89	NUM
bitcs-5565	89	14	convergence	convergence	NOUN
bitcs-5565	89	15	for	for	ADP
bitcs-5565	89	16	many	many	ADJ
bitcs-5565	89	17	machines	machine	NOUN
bitcs-5565	89	18	learning	learn	VERB
bitcs-5565	89	19	.	.	PUNCT
bitcs-5565	90	1	scaling	scale	VERB
bitcs-5565	90	2	using	use	VERB
bitcs-5565	90	3	mean	mean	NOUN
bitcs-5565	90	4	and	and	CCONJ
bitcs-5565	90	5	standard	standard	ADJ
bitcs-5565	90	6	deviation	deviation	NOUN
bitcs-5565	90	7	may	may	AUX
bitcs-5565	90	8	suffer	suffer	VERB
bitcs-5565	90	9	if	if	SCONJ
bitcs-5565	90	10	a	a	DET
bitcs-5565	90	11	dataset	dataset	NOUN
bitcs-5565	90	12	contains	contain	VERB
bitcs-5565	90	13	too	too	ADV
bitcs-5565	90	14	many	many	ADJ
bitcs-5565	90	15	outliers	outlier	NOUN
bitcs-5565	90	16	.	.	PUNCT
bitcs-5565	91	1	we	we	PRON
bitcs-5565	91	2	have	have	AUX
bitcs-5565	91	3	used	use	VERB
bitcs-5565	91	4	the	the	DET
bitcs-5565	91	5	z	z	NOUN
bitcs-5565	91	6	-	-	PUNCT
bitcs-5565	91	7	score	score	NOUN
bitcs-5565	91	8	outlier	outlier	NOUN
bitcs-5565	91	9	detection	detection	NOUN
bitcs-5565	91	10	technique	technique	NOUN
bitcs-5565	91	11	to	to	PART
bitcs-5565	91	12	detect	detect	VERB
bitcs-5565	91	13	the	the	DET
bitcs-5565	91	14	outliers	outlier	NOUN
bitcs-5565	91	15	and	and	CCONJ
bitcs-5565	91	16	handle	handle	VERB
bitcs-5565	91	17	those	those	DET
bitcs-5565	91	18	outliers	outlier	NOUN
bitcs-5565	91	19	using	use	VERB
bitcs-5565	91	20	robust	robust	ADJ
bitcs-5565	91	21	scaling	scaling	NOUN
bitcs-5565	91	22	.	.	PUNCT
bitcs-5565	92	1	e.	e.	PROPN
bitcs-5565	92	2	feature	feature	PROPN
bitcs-5565	92	3	selection	selection	NOUN
bitcs-5565	92	4	feature	feature	NOUN
bitcs-5565	92	5	selection	selection	NOUN
bitcs-5565	92	6	can	can	AUX
bitcs-5565	92	7	be	be	AUX
bitcs-5565	92	8	defined	define	VERB
bitcs-5565	92	9	as	as	ADP
bitcs-5565	92	10	the	the	DET
bitcs-5565	92	11	process	process	NOUN
bitcs-5565	92	12	of	of	ADP
bitcs-5565	92	13	the	the	DET
bitcs-5565	92	14	selection	selection	NOUN
bitcs-5565	92	15	of	of	ADP
bitcs-5565	92	16	significant	significant	ADJ
bitcs-5565	92	17	characteristics	characteristic	NOUN
bitcs-5565	92	18	strongly	strongly	ADV
bitcs-5565	92	19	associated	associate	VERB
bitcs-5565	92	20	with	with	ADP
bitcs-5565	92	21	output	output	NOUN
bitcs-5565	92	22	from	from	ADP
bitcs-5565	92	23	data	data	NOUN
bitcs-5565	92	24	-	-	PUNCT
bitcs-5565	92	25	set	set	VERB
bitcs-5565	92	26	for	for	ADP
bitcs-5565	92	27	faster	fast	ADJ
bitcs-5565	92	28	model	model	NOUN
bitcs-5565	92	29	training	training	NOUN
bitcs-5565	92	30	,	,	PUNCT
bitcs-5565	92	31	decreased	decrease	VERB
bitcs-5565	92	32	dimensionality	dimensionality	NOUN
bitcs-5565	92	33	,	,	PUNCT
bitcs-5565	92	34	reduced	reduce	VERB
bitcs-5565	92	35	complexity	complexity	NOUN
bitcs-5565	92	36	,	,	PUNCT
bitcs-5565	92	37	improved	improved	ADJ
bitcs-5565	92	38	accuracy	accuracy	NOUN
bitcs-5565	92	39	and	and	CCONJ
bitcs-5565	92	40	straightforward	straightforward	ADJ
bitcs-5565	92	41	interpretation	interpretation	NOUN
bitcs-5565	92	42	.	.	PUNCT
bitcs-5565	93	1	significant	significant	ADJ
bitcs-5565	93	2	bio	bio	NOUN
bitcs-5565	93	3	-	-	PUNCT
bitcs-5565	93	4	markers	marker	NOUN
bitcs-5565	93	5	/	/	SYM
bitcs-5565	93	6	variables	variable	NOUN
bitcs-5565	93	7	have	have	AUX
bitcs-5565	93	8	been	be	AUX
bitcs-5565	93	9	obtained	obtain	VERB
bitcs-5565	93	10	from	from	ADP
bitcs-5565	93	11	records	record	NOUN
bitcs-5565	93	12	of	of	ADP
bitcs-5565	93	13	clinical	clinical	ADJ
bitcs-5565	93	14	information	information	NOUN
bitcs-5565	93	15	and	and	CCONJ
bitcs-5565	93	16	lab	lab	NOUN
bitcs-5565	93	17	tests	test	NOUN
bitcs-5565	93	18	of	of	ADP
bitcs-5565	93	19	the	the	DET
bitcs-5565	93	20	patients	patient	NOUN
bitcs-5565	93	21	with	with	ADP
bitcs-5565	93	22	the	the	DET
bitcs-5565	93	23	use	use	NOUN
bitcs-5565	93	24	of	of	ADP
bitcs-5565	93	25	the	the	DET
bitcs-5565	93	26	ml	ml	NOUN
bitcs-5565	93	27	and	and	CCONJ
bitcs-5565	93	28	statistical	statistical	ADJ
bitcs-5565	93	29	data	datum	NOUN
bitcs-5565	93	30	mining	mining	NOUN
bitcs-5565	93	31	algorithms	algorithm	NOUN
bitcs-5565	93	32	.	.	PUNCT
bitcs-5565	94	1	the	the	DET
bitcs-5565	94	2	abovementioned	abovementioned	ADJ
bitcs-5565	94	3	preprocessing	preprocessing	NOUN
bitcs-5565	94	4	tools	tool	NOUN
bitcs-5565	94	5	include	include	VERB
bitcs-5565	94	6	packages	package	NOUN
bitcs-5565	94	7	allowing	allow	VERB
bitcs-5565	94	8	feature	feature	NOUN
bitcs-5565	94	9	selection	selection	NOUN
bitcs-5565	94	10	[	[	X
bitcs-5565	94	11	12	12	NUM
bitcs-5565	94	12	]	]	PUNCT
bitcs-5565	94	13	.	.	PUNCT
bitcs-5565	95	1	recursive	recursive	ADJ
bitcs-5565	95	2	feature	feature	NOUN
bitcs-5565	95	3	elimination	elimination	NOUN
bitcs-5565	95	4	(	(	PUNCT
bitcs-5565	95	5	rfe	rfe	NOUN
bitcs-5565	95	6	)	)	PUNCT
bitcs-5565	95	7	rfe	rfe	NOUN
bitcs-5565	95	8	can	can	AUX
bitcs-5565	95	9	be	be	AUX
bitcs-5565	95	10	defined	define	VERB
bitcs-5565	95	11	as	as	ADP
bitcs-5565	95	12	feature	feature	NOUN
bitcs-5565	95	13	selection	selection	NOUN
bitcs-5565	95	14	approach	approach	NOUN
bitcs-5565	95	15	of	of	ADP
bitcs-5565	95	16	a	a	DET
bitcs-5565	95	17	wrapper	wrapper	NOUN
bitcs-5565	95	18	type	type	NOUN
bitcs-5565	95	19	.	.	PUNCT
bitcs-5565	96	1	internally	internally	ADV
bitcs-5565	96	2	,	,	PUNCT
bitcs-5565	96	3	it	it	PRON
bitcs-5565	96	4	utilizes	utilize	VERB
bitcs-5565	96	5	filter	filter	NOUN
bitcs-5565	96	6	-	-	PUNCT
bitcs-5565	96	7	based	base	VERB
bitcs-5565	96	8	approaches	approach	NOUN
bitcs-5565	96	9	;	;	PUNCT
bitcs-5565	96	10	none	none	NOUN
bitcs-5565	96	11	-	-	PUNCT
bitcs-5565	96	12	the	the	PRON
bitcs-5565	96	13	-	-	PUNCT
bitcs-5565	96	14	less	less	ADJ
bitcs-5565	96	15	,	,	PUNCT
bitcs-5565	96	16	it	it	PRON
bitcs-5565	96	17	differs	differ	VERB
bitcs-5565	96	18	from	from	ADP
bitcs-5565	96	19	filter	filter	NOUN
bitcs-5565	96	20	method	method	NOUN
bitcs-5565	96	21	.	.	PUNCT
bitcs-5565	97	1	it	it	PRON
bitcs-5565	97	2	has	have	VERB
bitcs-5565	97	3	2	2	NUM
bitcs-5565	97	4	significant	significant	ADJ
bitcs-5565	97	5	options	option	NOUN
bitcs-5565	97	6	of	of	ADP
bitcs-5565	97	7	configuration	configuration	NOUN
bitcs-5565	97	8	,	,	PUNCT
bitcs-5565	97	9	which	which	PRON
bitcs-5565	97	10	include	include	VERB
bitcs-5565	97	11	:	:	PUNCT
bitcs-5565	97	12	i.	i.	NOUN
bitcs-5565	97	13	it	it	PRON
bitcs-5565	97	14	determines	determine	VERB
bitcs-5565	97	15	the	the	DET
bitcs-5565	97	16	number	number	NOUN
bitcs-5565	97	17	of	of	ADP
bitcs-5565	97	18	the	the	DET
bitcs-5565	97	19	features	feature	NOUN
bitcs-5565	97	20	that	that	PRON
bitcs-5565	97	21	are	be	AUX
bitcs-5565	97	22	to	to	PART
bitcs-5565	97	23	be	be	AUX
bitcs-5565	97	24	chosen	choose	VERB
bitcs-5565	97	25	,	,	PUNCT
bitcs-5565	97	26	ii	ii	PROPN
bitcs-5565	97	27	.	.	PUNCT
bitcs-5565	98	1	it	it	PRON
bitcs-5565	98	2	sets	set	VERB
bitcs-5565	98	3	ml	ml	ADP
bitcs-5565	98	4	algorithm	algorithm	NOUN
bitcs-5565	98	5	in	in	ADP
bitcs-5565	98	6	the	the	DET
bitcs-5565	98	7	feature	feature	NOUN
bitcs-5565	98	8	selection	selection	NOUN
bitcs-5565	98	9	.	.	PUNCT
bitcs-5565	99	1	in	in	ADP
bitcs-5565	99	2	initial	initial	ADJ
bitcs-5565	99	3	case	case	NOUN
bitcs-5565	99	4	,	,	PUNCT
bitcs-5565	99	5	it	it	PRON
bitcs-5565	99	6	searches	search	VERB
bitcs-5565	99	7	a	a	DET
bitcs-5565	99	8	sub	sub	NOUN
bitcs-5565	99	9	-	-	ADJ
bitcs-5565	99	10	set	set	ADJ
bitcs-5565	99	11	of	of	ADP
bitcs-5565	99	12	the	the	DET
bitcs-5565	99	13	features	feature	NOUN
bitcs-5565	99	14	through	through	ADP
bitcs-5565	99	15	the	the	DET
bitcs-5565	99	16	consideration	consideration	NOUN
bitcs-5565	99	17	of	of	ADP
bitcs-5565	99	18	all	all	PRON
bitcs-5565	99	19	of	of	ADP
bitcs-5565	99	20	the	the	DET
bitcs-5565	99	21	features	feature	NOUN
bitcs-5565	99	22	that	that	PRON
bitcs-5565	99	23	are	be	AUX
bitcs-5565	99	24	present	present	ADJ
bitcs-5565	99	25	in	in	ADP
bitcs-5565	99	26	training	train	VERB
bitcs-5565	99	27	data	data	NOUN
bitcs-5565	99	28	-	-	PUNCT
bitcs-5565	99	29	set	set	VERB
bitcs-5565	99	30	and	and	CCONJ
bitcs-5565	99	31	eliminates	eliminate	VERB
bitcs-5565	99	32	features	feature	NOUN
bitcs-5565	99	33	until	until	SCONJ
bitcs-5565	99	34	the	the	DET
bitcs-5565	99	35	needed	need	VERB
bitcs-5565	99	36	number	number	NOUN
bitcs-5565	99	37	of	of	ADP
bitcs-5565	99	38	the	the	DET
bitcs-5565	99	39	features	feature	NOUN
bitcs-5565	99	40	is	be	AUX
bitcs-5565	99	41	left	leave	VERB
bitcs-5565	99	42	.	.	PUNCT
bitcs-5565	100	1	in	in	ADP
bitcs-5565	100	2	2nd	2nd	ADJ
bitcs-5565	100	3	case	case	NOUN
bitcs-5565	100	4	,	,	PUNCT
bitcs-5565	100	5	it	it	PRON
bitcs-5565	100	6	utilizes	utilize	VERB
bitcs-5565	100	7	an	an	DET
bitcs-5565	100	8	ml	ml	NOUN
bitcs-5565	100	9	algorithm	algorithm	NOUN
bitcs-5565	100	10	and	and	CCONJ
bitcs-5565	100	11	ranks	rank	VERB
bitcs-5565	100	12	characteristics	characteristic	NOUN
bitcs-5565	100	13	based	base	VERB
bitcs-5565	100	14	on	on	ADP
bitcs-5565	100	15	their	their	PRON
bitcs-5565	100	16	significance	significance	NOUN
bitcs-5565	100	17	.	.	PUNCT
bitcs-5565	101	1	it	it	PRON
bitcs-5565	101	2	discards	discard	VERB
bitcs-5565	101	3	least	least	ADJ
bitcs-5565	101	4	significant	significant	ADJ
bitcs-5565	101	5	features	feature	NOUN
bitcs-5565	101	6	then	then	ADV
bitcs-5565	101	7	repeats	repeat	VERB
bitcs-5565	101	8	model	model	NOUN
bitcs-5565	101	9	fitting	fitting	ADJ
bitcs-5565	101	10	steps	step	NOUN
bitcs-5565	101	11	.	.	PUNCT
bitcs-5565	102	1	the	the	DET
bitcs-5565	102	2	entire	entire	ADJ
bitcs-5565	102	3	process	process	NOUN
bitcs-5565	102	4	is	be	AUX
bitcs-5565	102	5	repeated	repeat	VERB
bitcs-5565	102	6	to	to	ADP
bitcs-5565	102	7	the	the	DET
bitcs-5565	102	8	point	point	NOUN
bitcs-5565	102	9	where	where	SCONJ
bitcs-5565	102	10	the	the	DET
bitcs-5565	102	11	stated	state	VERB
bitcs-5565	102	12	number	number	NOUN
bitcs-5565	102	13	of	of	ADP
bitcs-5565	102	14	the	the	DET
bitcs-5565	102	15	features	feature	NOUN
bitcs-5565	102	16	is	be	AUX
bitcs-5565	102	17	left	leave	VERB
bitcs-5565	102	18	[	[	PUNCT
bitcs-5565	102	19	13	13	NUM
bitcs-5565	102	20	]	]	PUNCT
bitcs-5565	102	21	.	.	PUNCT
bitcs-5565	103	1	f.	f.	PROPN
bitcs-5565	103	2	dataset	dataset	PROPN
bitcs-5565	103	3	splitting	split	VERB
bitcs-5565	103	4	the	the	DET
bitcs-5565	103	5	data	data	NOUN
bitcs-5565	103	6	-	-	PUNCT
bitcs-5565	103	7	set	set	NOUN
bitcs-5565	103	8	is	be	AUX
bitcs-5565	103	9	split	split	VERB
bitcs-5565	103	10	to	to	ADP
bitcs-5565	103	11	data	datum	NOUN
bitcs-5565	103	12	for	for	ADP
bitcs-5565	103	13	process	process	NOUN
bitcs-5565	103	14	analysis	analysis	NOUN
bitcs-5565	103	15	training	training	NOUN
bitcs-5565	103	16	and	and	CCONJ
bitcs-5565	103	17	testing	testing	NOUN
bitcs-5565	103	18	.	.	PUNCT
bitcs-5565	104	1	in	in	ADP
bitcs-5565	104	2	that	that	PRON
bitcs-5565	104	3	,	,	PUNCT
bitcs-5565	104	4	80	80	NUM
bitcs-5565	104	5	%	%	NOUN
bitcs-5565	104	6	of	of	ADP
bitcs-5565	104	7	the	the	DET
bitcs-5565	104	8	data	datum	NOUN
bitcs-5565	104	9	has	have	AUX
bitcs-5565	104	10	been	be	AUX
bitcs-5565	104	11	utilized	utilize	VERB
bitcs-5565	104	12	for	for	ADP
bitcs-5565	104	13	the	the	DET
bitcs-5565	104	14	training	training	NOUN
bitcs-5565	104	15	and	and	CCONJ
bitcs-5565	104	16	20	20	NUM
bitcs-5565	104	17	%	%	NOUN
bitcs-5565	104	18	of	of	ADP
bitcs-5565	104	19	it	it	PRON
bitcs-5565	104	20	has	have	AUX
bitcs-5565	104	21	been	be	AUX
bitcs-5565	104	22	used	use	VERB
bitcs-5565	104	23	for	for	ADP
bitcs-5565	104	24	the	the	DET
bitcs-5565	104	25	testing	testing	NOUN
bitcs-5565	104	26	.	.	PUNCT
bitcs-5565	105	1	g.	g.	NOUN
bitcs-5565	105	2	classification	classification	NOUN
bitcs-5565	105	3	techniques	technique	NOUN
bitcs-5565	105	4	classification	classification	NOUN
bitcs-5565	105	5	is	be	AUX
bitcs-5565	105	6	a	a	DET
bitcs-5565	105	7	model	model	NOUN
bitcs-5565	105	8	used	use	VERB
bitcs-5565	105	9	to	to	PART
bitcs-5565	105	10	predict	predict	VERB
bitcs-5565	105	11	the	the	DET
bitcs-5565	105	12	future	future	ADJ
bitcs-5565	105	13	behavior	behavior	NOUN
bitcs-5565	105	14	of	of	ADP
bitcs-5565	105	15	the	the	DET
bitcs-5565	105	16	data	datum	NOUN
bitcs-5565	105	17	by	by	ADP
bitcs-5565	105	18	classifying	classify	VERB
bitcs-5565	105	19	the	the	DET
bitcs-5565	105	20	records	record	NOUN
bitcs-5565	105	21	into	into	ADP
bitcs-5565	105	22	predefined	predefined	ADJ
bitcs-5565	105	23	classes	class	NOUN
bitcs-5565	105	24	.	.	PUNCT
bitcs-5565	106	1	in	in	ADP
bitcs-5565	106	2	the	the	DET
bitcs-5565	106	3	classification	classification	NOUN
bitcs-5565	106	4	,	,	PUNCT
bitcs-5565	106	5	precise	precise	ADJ
bitcs-5565	106	6	disease	disease	NOUN
bitcs-5565	106	7	detection	detection	NOUN
bitcs-5565	106	8	with	with	ADP
bitcs-5565	106	9	the	the	DET
bitcs-5565	106	10	use	use	NOUN
bitcs-5565	106	11	of	of	ADP
bitcs-5565	106	12	the	the	DET
bitcs-5565	106	13	testing	testing	NOUN
bitcs-5565	106	14	and	and	CCONJ
bitcs-5565	106	15	training	training	NOUN
bitcs-5565	106	16	dataset	dataset	NOUN
bitcs-5565	106	17	[	[	X
bitcs-5565	106	18	14	14	NUM
bitcs-5565	106	19	]	]	PUNCT
bitcs-5565	106	20	.	.	PUNCT
bitcs-5565	107	1	it	it	PRON
bitcs-5565	107	2	proposed	propose	VERB
bitcs-5565	107	3	2	2	NUM
bitcs-5565	107	4	ml	ml	NOUN
bitcs-5565	107	5	models	model	NOUN
bitcs-5565	107	6	for	for	ADP
bitcs-5565	107	7	building	building	NOUN
bitcs-5565	107	8	prediction	prediction	NOUN
bitcs-5565	107	9	.	.	PUNCT
bitcs-5565	108	1	initially	initially	ADV
bitcs-5565	108	2	,	,	PUNCT
bitcs-5565	108	3	the	the	DET
bitcs-5565	108	4	training	training	NOUN
bitcs-5565	108	5	data	datum	NOUN
bitcs-5565	108	6	has	have	AUX
bitcs-5565	108	7	been	be	AUX
bitcs-5565	108	8	trained	train	VERB
bitcs-5565	108	9	across	across	ADP
bitcs-5565	108	10	2	2	NUM
bitcs-5565	108	11	ml	ml	NOUN
bitcs-5565	108	12	models	model	NOUN
bitcs-5565	108	13	,	,	PUNCT
bitcs-5565	108	14	such	such	ADJ
bitcs-5565	108	15	as	as	ADP
bitcs-5565	108	16	neural	neural	ADJ
bitcs-5565	108	17	network	network	NOUN
bitcs-5565	108	18	and	and	CCONJ
bitcs-5565	108	19	adaboost	adaboost	NOUN
bitcs-5565	108	20	are	be	AUX
bitcs-5565	108	21	predicted	predict	VERB
bitcs-5565	108	22	based	base	VERB
bitcs-5565	108	23	on	on	ADP
bitcs-5565	108	24	a	a	DET
bitcs-5565	108	25	trained	train	VERB
bitcs-5565	108	26	model	model	NOUN
bitcs-5565	108	27	of	of	ADP
bitcs-5565	108	28	learning	learning	NOUN
bitcs-5565	108	29	,	,	PUNCT
bitcs-5565	108	30	one	one	NUM
bitcs-5565	108	31	by	by	ADP
bitcs-5565	108	32	one	one	NUM
bitcs-5565	108	33	,	,	PUNCT
bitcs-5565	108	34	and	and	CCONJ
bitcs-5565	108	35	after	after	ADP
bitcs-5565	108	36	that	that	PRON
bitcs-5565	108	37	,	,	PUNCT
bitcs-5565	108	38	test	test	VERB
bitcs-5565	108	39	the	the	DET
bitcs-5565	108	40	data	datum	NOUN
bitcs-5565	108	41	.	.	PUNCT
bitcs-5565	109	1	some	some	PRON
bitcs-5565	109	2	of	of	ADP
bitcs-5565	109	3	the	the	DET
bitcs-5565	109	4	parameters	parameter	NOUN
bitcs-5565	109	5	that	that	PRON
bitcs-5565	109	6	include	include	VERB
bitcs-5565	109	7	the	the	DET
bitcs-5565	109	8	precision	precision	NOUN
bitcs-5565	109	9	,	,	PUNCT
bitcs-5565	109	10	accuracy	accuracy	NOUN
bitcs-5565	109	11	,	,	PUNCT
bitcs-5565	109	12	and	and	CCONJ
bitcs-5565	109	13	recall	recall	NOUN
bitcs-5565	109	14	are	be	AUX
bitcs-5565	109	15	finally	finally	ADV
bitcs-5565	109	16	compared	compare	VERB
bitcs-5565	109	17	with	with	ADP
bitcs-5565	109	18	some	some	DET
bitcs-5565	109	19	algorithms	algorithm	NOUN
bitcs-5565	109	20	that	that	PRON
bitcs-5565	109	21	have	have	AUX
bitcs-5565	109	22	been	be	AUX
bitcs-5565	109	23	explained	explain	VERB
bitcs-5565	109	24	above	above	ADV
bitcs-5565	109	25	.	.	PUNCT
bitcs-5565	110	1	a.	a.	NOUN
bitcs-5565	110	2	artificial	artificial	ADJ
bitcs-5565	110	3	neural	neural	ADJ
bitcs-5565	110	4	network	network	NOUN
bitcs-5565	110	5	classifier	classifier	NOUN
bitcs-5565	110	6	an	an	DET
bitcs-5565	110	7	ann	ann	PROPN
bitcs-5565	111	1	[	[	X
bitcs-5565	111	2	15	15	NUM
bitcs-5565	111	3	]	]	X
bitcs-5565	111	4	is	be	AUX
bitcs-5565	111	5	a	a	DET
bitcs-5565	111	6	simulation	simulation	NOUN
bitcs-5565	111	7	of	of	ADP
bitcs-5565	111	8	the	the	DET
bitcs-5565	111	9	working	working	NOUN
bitcs-5565	111	10	of	of	ADP
bitcs-5565	111	11	the	the	DET
bitcs-5565	111	12	biological	biological	ADJ
bitcs-5565	111	13	neural	neural	ADJ
bitcs-5565	111	14	networks	network	NOUN
bitcs-5565	111	15	.	.	PUNCT
bitcs-5565	112	1	each	each	DET
bitcs-5565	112	2	one	one	NUM
bitcs-5565	112	3	of	of	ADP
bitcs-5565	112	4	the	the	DET
bitcs-5565	112	5	nodes	node	NOUN
bitcs-5565	112	6	has	have	AUX
bitcs-5565	112	7	been	be	AUX
bitcs-5565	112	8	modeled	model	VERB
bitcs-5565	112	9	after	after	ADP
bitcs-5565	112	10	a	a	DET
bitcs-5565	112	11	neuron	neuron	NOUN
bitcs-5565	112	12	,	,	PUNCT
bitcs-5565	112	13	which	which	PRON
bitcs-5565	112	14	is	be	AUX
bitcs-5565	112	15	why	why	SCONJ
bitcs-5565	112	16	,	,	PUNCT
bitcs-5565	112	17	it	it	PRON
bitcs-5565	112	18	is	be	AUX
bitcs-5565	112	19	referred	refer	VERB
bitcs-5565	112	20	to	to	ADP
bitcs-5565	112	21	as	as	ADP
bitcs-5565	112	22	artificial	artificial	ADJ
bitcs-5565	112	23	neurons	neuron	NOUN
bitcs-5565	112	24	as	as	ADV
bitcs-5565	112	25	well	well	ADV
bitcs-5565	112	26	.	.	PUNCT
bitcs-5565	113	1	an	an	DET
bitcs-5565	113	2	nn	nn	PROPN
bitcs-5565	113	3	is	be	AUX
bitcs-5565	113	4	made	make	VERB
bitcs-5565	113	5	up	up	ADP
bitcs-5565	113	6	of	of	ADP
bitcs-5565	113	7	several	several	ADJ
bitcs-5565	113	8	layers	layer	NOUN
bitcs-5565	113	9	,	,	PUNCT
bitcs-5565	113	10	every	every	DET
bitcs-5565	113	11	one	one	NUM
bitcs-5565	113	12	of	of	ADP
bitcs-5565	113	13	which	which	PRON
bitcs-5565	113	14	has	have	VERB
bitcs-5565	113	15	a	a	DET
bitcs-5565	113	16	number	number	NOUN
bitcs-5565	113	17	of	of	ADP
bitcs-5565	113	18	the	the	DET
bitcs-5565	113	19	nodes	node	NOUN
bitcs-5565	113	20	.	.	PUNCT
bitcs-5565	114	1	the	the	DET
bitcs-5565	114	2	typical	typical	ADJ
bitcs-5565	114	3	nn	nn	PROPN
bitcs-5565	114	4	has	have	AUX
bitcs-5565	114	5	been	be	AUX
bitcs-5565	114	6	represented	represent	VERB
bitcs-5565	114	7	by	by	ADP
bitcs-5565	114	8	fig2	fig2	PROPN
bitcs-5565	114	9	.	.	PUNCT
bitcs-5565	115	1	vol	vol	NOUN
bitcs-5565	115	2	.	.	PROPN
bitcs-5565	116	1	4	4	NUM
bitcs-5565	116	2	,	,	PUNCT
bitcs-5565	116	3	no.2	no.2	PROPN
bitcs-5565	116	4	july	july	PROPN
bitcs-5565	116	5	2023	2023	NUM
bitcs-5565	116	6	|	|	ADV
bitcs-5565	116	7	90	90	NUM
bitcs-5565	116	8	fig2	fig2	NOUN
bitcs-5565	116	9	.	.	PUNCT
bitcs-5565	117	1	diagram	diagram	NOUN
bitcs-5565	117	2	of	of	ADP
bitcs-5565	117	3	a	a	DET
bitcs-5565	117	4	typical	typical	ADJ
bitcs-5565	117	5	ann	ann	PROPN
bitcs-5565	117	6	basically	basically	ADV
bitcs-5565	117	7	,	,	PUNCT
bitcs-5565	117	8	there	there	PRON
bitcs-5565	117	9	are	be	VERB
bitcs-5565	117	10	3	3	NUM
bitcs-5565	117	11	components	component	NOUN
bitcs-5565	117	12	in	in	ADP
bitcs-5565	117	13	the	the	DET
bitcs-5565	117	14	typical	typical	ADJ
bitcs-5565	117	15	ann	ann	PROPN
bitcs-5565	117	16	:	:	PUNCT
bitcs-5565	117	17	•	•	NUM
bitcs-5565	117	18	input	input	NOUN
bitcs-5565	117	19	layer	layer	NOUN
bitcs-5565	117	20	–	–	PUNCT
bitcs-5565	117	21	one	one	NUM
bitcs-5565	117	22	layer	layer	NOUN
bitcs-5565	117	23	whose	whose	DET
bitcs-5565	117	24	number	number	NOUN
bitcs-5565	117	25	of	of	ADP
bitcs-5565	117	26	the	the	DET
bitcs-5565	117	27	nodes	node	NOUN
bitcs-5565	117	28	is	be	AUX
bitcs-5565	117	29	dependent	dependent	ADJ
bitcs-5565	117	30	upon	upon	SCONJ
bitcs-5565	117	31	the	the	DET
bitcs-5565	117	32	input	input	NOUN
bitcs-5565	117	33	dimensions	dimension	NOUN
bitcs-5565	117	34	.	.	PUNCT
bitcs-5565	118	1	the	the	DET
bitcs-5565	118	2	input	input	NOUN
bitcs-5565	118	3	layer	layer	NOUN
bitcs-5565	118	4	applies	apply	VERB
bitcs-5565	118	5	a	a	DET
bitcs-5565	118	6	transform	transform	NOUN
bitcs-5565	118	7	to	to	ADP
bitcs-5565	118	8	nn	nn	PROPN
bitcs-5565	118	9	’s	’s	PART
bitcs-5565	118	10	input	input	NOUN
bitcs-5565	118	11	and	and	CCONJ
bitcs-5565	118	12	passes	pass	VERB
bitcs-5565	118	13	that	that	PRON
bitcs-5565	118	14	along	along	ADV
bitcs-5565	118	15	as	as	ADP
bitcs-5565	118	16	input	input	NOUN
bitcs-5565	118	17	to	to	ADP
bitcs-5565	118	18	hidden	hidden	ADJ
bitcs-5565	118	19	layers	layer	NOUN
bitcs-5565	118	20	.	.	PUNCT
bitcs-5565	119	1	•	•	NUM
bitcs-5565	119	2	output	output	NOUN
bitcs-5565	119	3	layer	layer	NOUN
bitcs-5565	119	4	which	which	PRON
bitcs-5565	119	5	is	be	AUX
bitcs-5565	119	6	the	the	DET
bitcs-5565	119	7	last	last	ADJ
bitcs-5565	119	8	layer	layer	NOUN
bitcs-5565	119	9	of	of	ADP
bitcs-5565	119	10	an	an	DET
bitcs-5565	119	11	nn	nn	PROPN
bitcs-5565	119	12	,	,	PUNCT
bitcs-5565	119	13	the	the	DET
bitcs-5565	119	14	dimensions	dimension	NOUN
bitcs-5565	119	15	of	of	ADP
bitcs-5565	119	16	which	which	PRON
bitcs-5565	119	17	have	have	AUX
bitcs-5565	119	18	been	be	AUX
bitcs-5565	119	19	characterized	characterize	VERB
bitcs-5565	119	20	by	by	ADP
bitcs-5565	119	21	the	the	DET
bitcs-5565	119	22	output	output	NOUN
bitcs-5565	119	23	.	.	PUNCT
bitcs-5565	120	1	this	this	DET
bitcs-5565	120	2	layer	layer	NOUN
bitcs-5565	120	3	conducts	conduct	VERB
bitcs-5565	120	4	a	a	DET
bitcs-5565	120	5	functionality	functionality	NOUN
bitcs-5565	120	6	on	on	ADP
bitcs-5565	120	7	hidden	hide	VERB
bitcs-5565	120	8	layer	layer	NOUN
bitcs-5565	120	9	’s	’s	PART
bitcs-5565	120	10	output	output	NOUN
bitcs-5565	120	11	prior	prior	ADV
bitcs-5565	120	12	to	to	ADP
bitcs-5565	120	13	the	the	DET
bitcs-5565	120	14	production	production	NOUN
bitcs-5565	120	15	of	of	ADP
bitcs-5565	120	16	the	the	DET
bitcs-5565	120	17	results	result	NOUN
bitcs-5565	120	18	.	.	PUNCT
bitcs-5565	121	1	•	•	NUM
bitcs-5565	121	2	hidden	hide	VERB
bitcs-5565	121	3	layer	layer	NOUN
bitcs-5565	121	4	those	those	DET
bitcs-5565	121	5	layers	layer	NOUN
bitcs-5565	121	6	represent	represent	VERB
bitcs-5565	121	7	the	the	DET
bitcs-5565	121	8	algorithm	algorithm	NOUN
bitcs-5565	121	9	’s	’s	PART
bitcs-5565	121	10	crux	crux	NOUN
bitcs-5565	121	11	.	.	PUNCT
bitcs-5565	122	1	they	they	PRON
bitcs-5565	122	2	conduct	conduct	VERB
bitcs-5565	122	3	all	all	PRON
bitcs-5565	122	4	of	of	ADP
bitcs-5565	122	5	the	the	DET
bitcs-5565	122	6	calculations	calculation	NOUN
bitcs-5565	122	7	on	on	ADP
bitcs-5565	122	8	input	input	NOUN
bitcs-5565	122	9	for	for	ADP
bitcs-5565	122	10	the	the	DET
bitcs-5565	122	11	purpose	purpose	NOUN
bitcs-5565	122	12	of	of	ADP
bitcs-5565	122	13	producing	produce	VERB
bitcs-5565	122	14	output	output	NOUN
bitcs-5565	122	15	.	.	PUNCT
bitcs-5565	123	1	the	the	DET
bitcs-5565	123	2	work	work	NOUN
bitcs-5565	123	3	of	of	ADP
bitcs-5565	123	4	those	those	DET
bitcs-5565	123	5	layers	layer	NOUN
bitcs-5565	123	6	is	be	AUX
bitcs-5565	123	7	not	not	PART
bitcs-5565	123	8	known	know	VERB
bitcs-5565	123	9	.	.	PUNCT
bitcs-5565	124	1	which	which	PRON
bitcs-5565	124	2	is	be	AUX
bitcs-5565	124	3	why	why	SCONJ
bitcs-5565	124	4	,	,	PUNCT
bitcs-5565	124	5	only	only	ADV
bitcs-5565	124	6	weights	weight	NOUN
bitcs-5565	124	7	and	and	CCONJ
bitcs-5565	124	8	parameters	parameter	NOUN
bitcs-5565	124	9	that	that	PRON
bitcs-5565	124	10	have	have	AUX
bitcs-5565	124	11	been	be	AUX
bitcs-5565	124	12	provided	provide	VERB
bitcs-5565	124	13	to	to	ADP
bitcs-5565	124	14	those	those	DET
bitcs-5565	124	15	layers	layer	NOUN
bitcs-5565	124	16	may	may	AUX
bitcs-5565	124	17	be	be	AUX
bitcs-5565	124	18	tweaked	tweak	VERB
bitcs-5565	124	19	for	for	ADP
bitcs-5565	124	20	the	the	DET
bitcs-5565	124	21	purpose	purpose	NOUN
bitcs-5565	124	22	of	of	ADP
bitcs-5565	124	23	producing	produce	VERB
bitcs-5565	124	24	the	the	DET
bitcs-5565	124	25	needed	need	VERB
bitcs-5565	124	26	results	result	NOUN
bitcs-5565	124	27	.	.	PUNCT
bitcs-5565	125	1	a	a	DET
bitcs-5565	125	2	network	network	NOUN
bitcs-5565	125	3	becomes	become	VERB
bitcs-5565	125	4	deeper	deep	ADJ
bitcs-5565	125	5	with	with	ADP
bitcs-5565	125	6	the	the	DET
bitcs-5565	125	7	increase	increase	NOUN
bitcs-5565	125	8	of	of	ADP
bitcs-5565	125	9	the	the	DET
bitcs-5565	125	10	number	number	NOUN
bitcs-5565	125	11	of	of	ADP
bitcs-5565	125	12	the	the	DET
bitcs-5565	125	13	hidden	hidden	ADJ
bitcs-5565	125	14	layers	layer	NOUN
bitcs-5565	125	15	.	.	PUNCT
bitcs-5565	126	1	each	each	DET
bitcs-5565	126	2	one	one	NUM
bitcs-5565	126	3	of	of	ADP
bitcs-5565	126	4	the	the	DET
bitcs-5565	126	5	nodes	node	NOUN
bitcs-5565	126	6	in	in	ADP
bitcs-5565	126	7	a	a	DET
bitcs-5565	126	8	network	network	NOUN
bitcs-5565	126	9	is	be	AUX
bitcs-5565	126	10	referred	refer	VERB
bitcs-5565	126	11	to	to	ADP
bitcs-5565	126	12	as	as	ADP
bitcs-5565	126	13	a	a	DET
bitcs-5565	126	14	perceptron	perceptron	NOUN
bitcs-5565	126	15	,	,	PUNCT
bitcs-5565	126	16	which	which	PRON
bitcs-5565	126	17	has	have	AUX
bitcs-5565	126	18	been	be	AUX
bitcs-5565	126	19	depicted	depict	VERB
bitcs-5565	126	20	in	in	ADP
bitcs-5565	126	21	fig3	fig3	PROPN
bitcs-5565	126	22	.	.	PUNCT
bitcs-5565	127	1	a	a	DET
bitcs-5565	127	2	perceptron	perceptron	PROPN
bitcs-5565	127	3	is	be	AUX
bitcs-5565	127	4	made	make	VERB
bitcs-5565	127	5	up	up	ADP
bitcs-5565	127	6	of	of	ADP
bitcs-5565	127	7	2	2	NUM
bitcs-5565	127	8	parts	part	NOUN
bitcs-5565	127	9	,	,	PUNCT
bitcs-5565	127	10	which	which	PRON
bitcs-5565	127	11	are	be	AUX
bitcs-5565	127	12	:	:	PUNCT
bitcs-5565	127	13	a	a	DET
bitcs-5565	127	14	sum	sum	NOUN
bitcs-5565	127	15	of	of	ADP
bitcs-5565	127	16	inputs	input	NOUN
bitcs-5565	127	17	and	and	CCONJ
bitcs-5565	127	18	activation	activation	NOUN
bitcs-5565	127	19	function	function	NOUN
bitcs-5565	127	20	on	on	ADP
bitcs-5565	127	21	summation	summation	NOUN
bitcs-5565	127	22	.	.	PUNCT
bitcs-5565	128	1	a	a	DET
bitcs-5565	128	2	certain	certain	ADJ
bitcs-5565	128	3	node	node	NOUN
bitcs-5565	128	4	takes	take	VERB
bitcs-5565	128	5	weighted	weight	VERB
bitcs-5565	128	6	summation	summation	NOUN
bitcs-5565	128	7	of	of	ADP
bitcs-5565	128	8	its	its	PRON
bitcs-5565	128	9	inputs	input	NOUN
bitcs-5565	128	10	then	then	ADV
bitcs-5565	128	11	passes	pass	VERB
bitcs-5565	128	12	it	it	PRON
bitcs-5565	128	13	to	to	ADP
bitcs-5565	128	14	linear	linear	ADJ
bitcs-5565	128	15	or	or	CCONJ
bitcs-5565	128	16	nonlinear	nonlinear	ADJ
bitcs-5565	128	17	activation	activation	NOUN
bitcs-5565	128	18	function	function	NOUN
bitcs-5565	128	19	.	.	PUNCT
bitcs-5565	129	1	fig3	fig3	PROPN
bitcs-5565	129	2	.	.	PUNCT
bitcs-5565	130	1	a	a	DET
bitcs-5565	130	2	diagram	diagram	NOUN
bitcs-5565	130	3	of	of	ADP
bitcs-5565	130	4	the	the	DET
bitcs-5565	130	5	perceptron	perceptron	NOUN
bitcs-5565	130	6	the	the	DET
bitcs-5565	130	7	equation	equation	NOUN
bitcs-5565	130	8	for	for	ADP
bitcs-5565	130	9	certain	certain	ADJ
bitcs-5565	130	10	perceptron	perceptron	PROPN
bitcs-5565	130	11	has	have	AUX
bitcs-5565	130	12	been	be	AUX
bitcs-5565	130	13	depicted	depict	VERB
bitcs-5565	130	14	by	by	ADP
bitcs-5565	130	15	1	1	NUM
bitcs-5565	130	16	.	.	PUNCT
bitcs-5565	130	17	weighted	weight	VERB
bitcs-5565	130	18	summation	summation	NOUN
bitcs-5565	130	19	of	of	ADP
bitcs-5565	130	20	inputs	input	NOUN
bitcs-5565	130	21	(	(	PUNCT
bitcs-5565	130	22	x.w	x.w	PROPN
bitcs-5565	130	23	)	)	PUNCT
bitcs-5565	130	24	is	be	AUX
bitcs-5565	130	25	passed	pass	VERB
bitcs-5565	130	26	through	through	ADP
bitcs-5565	130	27	activation	activation	NOUN
bitcs-5565	130	28	function	function	NOUN
bitcs-5565	130	29	(	(	PUNCT
bitcs-5565	130	30	f	f	X
bitcs-5565	130	31	)	)	PUNCT
bitcs-5565	130	32	besides	besides	SCONJ
bitcs-5565	130	33	bias	bias	NOUN
bitcs-5565	130	34	value	value	NOUN
bitcs-5565	130	35	(	(	PUNCT
bitcs-5565	130	36	b	b	NOUN
bitcs-5565	130	37	)	)	PUNCT
bitcs-5565	130	38	.	.	PUNCT
bitcs-5565	131	1	it	it	PRON
bitcs-5565	131	2	may	may	AUX
bitcs-5565	131	3	be	be	AUX
bitcs-5565	131	4	denoted	denote	VERB
bitcs-5565	131	5	as	as	ADP
bitcs-5565	131	6	product	product	NOUN
bitcs-5565	131	7	of	of	ADP
bitcs-5565	131	8	vector	vector	NOUN
bitcs-5565	131	9	dot	dot	NOUN
bitcs-5565	131	10	,	,	PUNCT
bitcs-5565	131	11	where	where	SCONJ
bitcs-5565	131	12	n	n	PRON
bitcs-5565	131	13	represents	represent	VERB
bitcs-5565	131	14	the	the	DET
bitcs-5565	131	15	number	number	NOUN
bitcs-5565	131	16	of	of	ADP
bitcs-5565	131	17	the	the	DET
bitcs-5565	131	18	inputs	input	NOUN
bitcs-5565	131	19	for	for	ADP
bitcs-5565	131	20	each	each	DET
bitcs-5565	131	21	node	node	NOUN
bitcs-5565	131	22	.	.	PUNCT
bitcs-5565	132	1	the	the	DET
bitcs-5565	132	2	activation	activation	NOUN
bitcs-5565	132	3	function	function	NOUN
bitcs-5565	132	4	produces	produce	VERB
bitcs-5565	132	5	output	output	NOUN
bitcs-5565	132	6	prediction	prediction	NOUN
bitcs-5565	132	7	that	that	PRON
bitcs-5565	132	8	has	have	AUX
bitcs-5565	132	9	been	be	AUX
bitcs-5565	132	10	provided	provide	VERB
bitcs-5565	132	11	as	as	ADP
bitcs-5565	132	12	set	set	NOUN
bitcs-5565	132	13	of	of	ADP
bitcs-5565	132	14	the	the	DET
bitcs-5565	132	15	inputs	input	NOUN
bitcs-5565	132	16	.	.	PUNCT
bitcs-5565	133	1	bias	bias	NOUN
bitcs-5565	133	2	term	term	NOUN
bitcs-5565	133	3	has	have	AUX
bitcs-5565	133	4	been	be	AUX
bitcs-5565	133	5	added	add	VERB
bitcs-5565	133	6	to	to	PART
bitcs-5565	133	7	computation	computation	VERB
bitcs-5565	133	8	for	for	ADP
bitcs-5565	133	9	the	the	DET
bitcs-5565	133	10	purpose	purpose	NOUN
bitcs-5565	133	11	of	of	ADP
bitcs-5565	133	12	helping	help	VERB
bitcs-5565	133	13	in	in	ADP
bitcs-5565	133	14	the	the	DET
bitcs-5565	133	15	enhancement	enhancement	NOUN
bitcs-5565	133	16	of	of	ADP
bitcs-5565	133	17	the	the	DET
bitcs-5565	133	18	learning	learning	NOUN
bitcs-5565	133	19	of	of	ADP
bitcs-5565	133	20	the	the	DET
bitcs-5565	133	21	perceptron	perceptron	PROPN
bitcs-5565	133	22	.	.	PUNCT
bitcs-5565	134	1	z	z	X
bitcs-5565	135	1	=	=	SYM
bitcs-5565	135	2	f	f	PROPN
bitcs-5565	135	3	(	(	PUNCT
bitcs-5565	135	4	b	b	PROPN
bitcs-5565	135	5	+	+	CCONJ
bitcs-5565	135	6	x.w	x.w	PROPN
bitcs-5565	135	7	)	)	PUNCT
bitcs-5565	136	1	=	=	SYM
bitcs-5565	136	2	f	f	X
bitcs-5565	136	3	(	(	PUNCT
bitcs-5565	136	4	b	b	PROPN
bitcs-5565	136	5	+	+	CCONJ
bitcs-5565	136	6	∑	∑	PROPN
bitcs-5565	136	7	𝑥𝑖	𝑥𝑖	PROPN
bitcs-5565	136	8	𝑤𝑖	𝑤𝑖	PRON
bitcs-5565	136	9	𝑛	𝑛	PROPN
bitcs-5565	136	10	𝑖=1	𝑖=1	PROPN
bitcs-5565	136	11	)	)	PUNCT
bitcs-5565	137	1	(	(	PUNCT
bitcs-5565	137	2	1	1	X
bitcs-5565	137	3	)	)	PUNCT
bitcs-5565	137	4	each	each	DET
bitcs-5565	137	5	perceptron	perceptron	PROPN
bitcs-5565	137	6	utilizes	utilize	VERB
bitcs-5565	137	7	step	step	NOUN
bitcs-5565	137	8	function	function	NOUN
bitcs-5565	137	9	as	as	ADP
bitcs-5565	137	10	the	the	DET
bitcs-5565	137	11	activation	activation	NOUN
bitcs-5565	137	12	function	function	NOUN
bitcs-5565	137	13	.	.	PUNCT
bitcs-5565	138	1	in	in	ADP
bitcs-5565	138	2	a	a	DET
bitcs-5565	138	3	set	set	NOUN
bitcs-5565	138	4	of	of	ADP
bitcs-5565	138	5	the	the	DET
bitcs-5565	138	6	perceptron	perceptron	PROPN
bitcs-5565	138	7	’s	’s	PROPN
bitcs-5565	138	8	,	,	PUNCT
bitcs-5565	138	9	which	which	PRON
bitcs-5565	138	10	is	be	AUX
bitcs-5565	138	11	ann	ann	PROPN
bitcs-5565	138	12	(	(	PUNCT
bitcs-5565	138	13	referred	refer	VERB
bitcs-5565	138	14	to	to	ADP
bitcs-5565	138	15	as	as	ADP
bitcs-5565	138	16	the	the	DET
bitcs-5565	138	17	multi	multi	ADJ
bitcs-5565	138	18	-	-	ADJ
bitcs-5565	138	19	layer	layer	ADJ
bitcs-5565	138	20	perceptron	perceptron	NOUN
bitcs-5565	138	21	as	as	ADV
bitcs-5565	138	22	well	well	ADV
bitcs-5565	138	23	)	)	PUNCT
bitcs-5565	138	24	,	,	PUNCT
bitcs-5565	138	25	each	each	DET
bitcs-5565	138	26	one	one	NUM
bitcs-5565	138	27	of	of	ADP
bitcs-5565	138	28	the	the	DET
bitcs-5565	138	29	layers	layer	NOUN
bitcs-5565	138	30	may	may	AUX
bitcs-5565	138	31	have	have	VERB
bitcs-5565	138	32	a	a	DET
bitcs-5565	138	33	separate	separate	ADJ
bitcs-5565	138	34	activation	activation	NOUN
bitcs-5565	138	35	function	function	NOUN
bitcs-5565	138	36	.	.	PUNCT
bitcs-5565	139	1	vol	vol	NOUN
bitcs-5565	139	2	.	.	PROPN
bitcs-5565	140	1	4	4	NUM
bitcs-5565	140	2	,	,	PUNCT
bitcs-5565	140	3	no.2	no.2	PROPN
bitcs-5565	140	4	july	july	PROPN
bitcs-5565	140	5	2023	2023	NUM
bitcs-5565	140	6	|	|	ADV
bitcs-5565	140	7	91	91	NUM
bitcs-5565	140	8	b.	b.	PROPN
bitcs-5565	140	9	adaboost	adaboost	PROPN
bitcs-5565	140	10	algorithm	algorithm	PROPN
bitcs-5565	140	11	adaboost	adaboost	ADJ
bitcs-5565	140	12	algorithm	algorithm	PROPN
bitcs-5565	140	13	includes	include	VERB
bitcs-5565	140	14	the	the	DET
bitcs-5565	140	15	use	use	NOUN
bitcs-5565	140	16	of	of	ADP
bitcs-5565	140	17	very	very	ADV
bitcs-5565	140	18	short	short	ADJ
bitcs-5565	140	19	(	(	PUNCT
bitcs-5565	140	20	1	1	NUM
bitcs-5565	140	21	-	-	PUNCT
bitcs-5565	140	22	level	level	NOUN
bitcs-5565	140	23	)	)	PUNCT
bitcs-5565	140	24	decision	decision	NOUN
bitcs-5565	140	25	trees	tree	NOUN
bitcs-5565	140	26	as	as	ADP
bitcs-5565	140	27	weak	weak	ADJ
bitcs-5565	140	28	learners	learner	NOUN
bitcs-5565	140	29	added	add	VERB
bitcs-5565	140	30	in	in	ADP
bitcs-5565	140	31	a	a	DET
bitcs-5565	140	32	sequential	sequential	ADJ
bitcs-5565	140	33	manner	manner	NOUN
bitcs-5565	140	34	to	to	ADP
bitcs-5565	140	35	the	the	DET
bitcs-5565	140	36	set	set	NOUN
bitcs-5565	140	37	.	.	PUNCT
bitcs-5565	141	1	every	every	DET
bitcs-5565	141	2	one	one	NUM
bitcs-5565	141	3	of	of	ADP
bitcs-5565	141	4	the	the	DET
bitcs-5565	141	5	consequent	consequent	ADJ
bitcs-5565	141	6	models	model	NOUN
bitcs-5565	141	7	tries	try	VERB
bitcs-5565	141	8	correcting	correct	VERB
bitcs-5565	141	9	predictions	prediction	NOUN
bitcs-5565	141	10	that	that	PRON
bitcs-5565	141	11	have	have	AUX
bitcs-5565	141	12	been	be	AUX
bitcs-5565	141	13	made	make	VERB
bitcs-5565	141	14	by	by	ADP
bitcs-5565	141	15	the	the	DET
bitcs-5565	141	16	model	model	NOUN
bitcs-5565	141	17	before	before	ADP
bitcs-5565	141	18	it	it	PRON
bitcs-5565	141	19	in	in	ADP
bitcs-5565	141	20	a	a	DET
bitcs-5565	141	21	sequence	sequence	NOUN
bitcs-5565	141	22	.	.	PUNCT
bitcs-5565	142	1	it	it	PRON
bitcs-5565	142	2	combines	combine	VERB
bitcs-5565	142	3	several	several	ADJ
bitcs-5565	142	4	of	of	ADP
bitcs-5565	142	5	the	the	DET
bitcs-5565	142	6	average	average	ADJ
bitcs-5565	142	7	or	or	CCONJ
bitcs-5565	142	8	weak	weak	ADJ
bitcs-5565	142	9	predictors	predictor	NOUN
bitcs-5565	142	10	for	for	ADP
bitcs-5565	142	11	the	the	DET
bitcs-5565	142	12	purpose	purpose	NOUN
bitcs-5565	142	13	of	of	ADP
bitcs-5565	142	14	building	build	VERB
bitcs-5565	142	15	strong	strong	ADJ
bitcs-5565	142	16	predictor	predictor	NOUN
bitcs-5565	142	17	[	[	X
bitcs-5565	142	18	16	16	NUM
bitcs-5565	142	19	]	]	PUNCT
bitcs-5565	142	20	.	.	PUNCT
bitcs-5565	143	1	h.	h.	PROPN
bitcs-5565	143	2	performance	performance	NOUN
bitcs-5565	143	3	measure	measure	NOUN
bitcs-5565	143	4	performance	performance	NOUN
bitcs-5565	143	5	measure	measure	NOUN
bitcs-5565	143	6	of	of	ADP
bitcs-5565	143	7	different	different	ADJ
bitcs-5565	143	8	machine	machine	NOUN
bitcs-5565	143	9	learning	learn	VERB
bitcs-5565	143	10	algorithms	algorithm	NOUN
bitcs-5565	143	11	is	be	AUX
bitcs-5565	143	12	analyzed	analyze	VERB
bitcs-5565	143	13	by	by	ADP
bitcs-5565	143	14	considering	consider	VERB
bitcs-5565	143	15	measures	measure	NOUN
bitcs-5565	143	16	such	such	ADJ
bitcs-5565	143	17	as	as	ADP
bitcs-5565	143	18	[	[	X
bitcs-5565	143	19	17	17	NUM
bitcs-5565	143	20	]	]	PUNCT
bitcs-5565	143	21	.	.	PUNCT
bitcs-5565	144	1	•	•	NUM
bitcs-5565	144	2	confusion	confusion	NOUN
bitcs-5565	144	3	matrix	matrix	NOUN
bitcs-5565	144	4	the	the	DET
bitcs-5565	144	5	confusion	confusion	NOUN
bitcs-5565	144	6	matrix	matrix	NOUN
bitcs-5565	144	7	is	be	AUX
bitcs-5565	144	8	a	a	DET
bitcs-5565	144	9	table	table	NOUN
bitcs-5565	144	10	used	use	VERB
bitcs-5565	144	11	in	in	ADP
bitcs-5565	144	12	performance	performance	NOUN
bitcs-5565	144	13	measures	measure	NOUN
bitcs-5565	144	14	that	that	PRON
bitcs-5565	144	15	helps	help	VERB
bitcs-5565	144	16	in	in	ADP
bitcs-5565	144	17	easy	easy	ADJ
bitcs-5565	144	18	visualization	visualization	NOUN
bitcs-5565	144	19	as	as	ADV
bitcs-5565	144	20	well	well	ADV
bitcs-5565	144	21	as	as	ADP
bitcs-5565	144	22	in	in	ADP
bitcs-5565	144	23	distinguishing	distinguish	VERB
bitcs-5565	144	24	true	true	ADJ
bitcs-5565	144	25	positives	positive	NOUN
bitcs-5565	144	26	,	,	PUNCT
bitcs-5565	144	27	true	true	ADJ
bitcs-5565	144	28	negatives	negative	NOUN
bitcs-5565	144	29	,	,	PUNCT
bitcs-5565	144	30	false	false	ADJ
bitcs-5565	144	31	positives	positive	NOUN
bitcs-5565	144	32	and	and	CCONJ
bitcs-5565	144	33	false	false	ADJ
bitcs-5565	144	34	negatives	negative	NOUN
bitcs-5565	144	35	.	.	PUNCT
bitcs-5565	145	1	•	•	NUM
bitcs-5565	145	2	accuracy	accuracy	NOUN
bitcs-5565	145	3	accuracy	accuracy	NOUN
bitcs-5565	145	4	measure	measure	NOUN
bitcs-5565	145	5	is	be	AUX
bitcs-5565	145	6	calculated	calculate	VERB
bitcs-5565	145	7	by	by	ADP
bitcs-5565	145	8	considering	consider	VERB
bitcs-5565	145	9	the	the	DET
bitcs-5565	145	10	ratio	ratio	NOUN
bitcs-5565	145	11	of	of	ADP
bitcs-5565	145	12	the	the	DET
bitcs-5565	145	13	observations	observation	NOUN
bitcs-5565	145	14	that	that	PRON
bitcs-5565	145	15	have	have	AUX
bitcs-5565	145	16	been	be	AUX
bitcs-5565	145	17	correctly	correctly	ADV
bitcs-5565	145	18	predicted	predict	VERB
bitcs-5565	145	19	to	to	PART
bitcs-5565	145	20	total	total	ADJ
bitcs-5565	145	21	number	number	NOUN
bitcs-5565	145	22	of	of	ADP
bitcs-5565	145	23	the	the	DET
bitcs-5565	145	24	observations	observation	NOUN
bitcs-5565	145	25	.	.	PUNCT
bitcs-5565	146	1	accuracy	accuracy	NOUN
bitcs-5565	146	2	=	=	SYM
bitcs-5565	146	3	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	X
bitcs-5565	146	4	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
bitcs-5565	146	5	(	(	PUNCT
bitcs-5565	146	6	2	2	NUM
bitcs-5565	146	7	)	)	PUNCT
bitcs-5565	146	8	•	•	NUM
bitcs-5565	146	9	precision	precision	NOUN
bitcs-5565	146	10	it	it	PRON
bitcs-5565	146	11	represents	represent	VERB
bitcs-5565	146	12	the	the	DET
bitcs-5565	146	13	percentage	percentage	NOUN
bitcs-5565	146	14	of	of	ADP
bitcs-5565	146	15	true	true	ADJ
bitcs-5565	146	16	positives	positive	NOUN
bitcs-5565	146	17	out	out	ADP
bitcs-5565	146	18	of	of	ADP
bitcs-5565	146	19	all	all	DET
bitcs-5565	146	20	the	the	DET
bitcs-5565	146	21	predictions	prediction	NOUN
bitcs-5565	146	22	.	.	PUNCT
bitcs-5565	147	1	precision	precision	NOUN
bitcs-5565	147	2	=	=	SYM
bitcs-5565	147	3	𝑇𝑃	𝑇𝑃	PROPN
bitcs-5565	147	4	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
bitcs-5565	147	5	(	(	PUNCT
bitcs-5565	147	6	3	3	NUM
bitcs-5565	147	7	)	)	PUNCT
bitcs-5565	147	8	•	•	NOUN
bitcs-5565	147	9	sensitivity	sensitivity	NOUN
bitcs-5565	147	10	out	out	ADP
bitcs-5565	147	11	of	of	ADP
bitcs-5565	147	12	the	the	DET
bitcs-5565	147	13	total	total	ADJ
bitcs-5565	147	14	positive	positive	ADJ
bitcs-5565	147	15	,	,	PUNCT
bitcs-5565	147	16	what	what	DET
bitcs-5565	147	17	percentage	percentage	NOUN
bitcs-5565	147	18	are	be	AUX
bitcs-5565	147	19	predicted	predict	VERB
bitcs-5565	147	20	positive	positive	ADJ
bitcs-5565	147	21	.	.	PUNCT
bitcs-5565	148	1	sensitivity	sensitivity	NOUN
bitcs-5565	148	2	=	=	SYM
bitcs-5565	148	3	𝑇𝑃	𝑇𝑃	PROPN
bitcs-5565	148	4	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
bitcs-5565	148	5	(	(	PUNCT
bitcs-5565	148	6	4	4	NUM
bitcs-5565	148	7	)	)	PUNCT
bitcs-5565	148	8	•	•	NOUN
bitcs-5565	148	9	specificity	specificity	NOUN
bitcs-5565	148	10	–	–	PUNCT
bitcs-5565	148	11	it	it	PRON
bitcs-5565	148	12	represents	represent	VERB
bitcs-5565	148	13	true	true	ADJ
bitcs-5565	148	14	negative	negative	ADJ
bitcs-5565	148	15	rate	rate	NOUN
bitcs-5565	148	16	which	which	PRON
bitcs-5565	148	17	is	be	AUX
bitcs-5565	148	18	the	the	DET
bitcs-5565	148	19	proportion	proportion	NOUN
bitcs-5565	148	20	of	of	ADP
bitcs-5565	148	21	the	the	DET
bitcs-5565	148	22	negative	negative	ADJ
bitcs-5565	148	23	tuples	tuple	NOUN
bitcs-5565	148	24	which	which	PRON
bitcs-5565	148	25	have	have	AUX
bitcs-5565	148	26	been	be	AUX
bitcs-5565	148	27	identified	identify	VERB
bitcs-5565	148	28	correctly	correctly	ADV
bitcs-5565	148	29	.	.	PUNCT
bitcs-5565	149	1	specificity	specificity	NOUN
bitcs-5565	149	2	=	=	SYM
bitcs-5565	149	3	𝑇𝑁	𝑇𝑁	PROPN
bitcs-5565	149	4	𝑇𝑁+𝐹𝑃	𝑇𝑁+𝐹𝑃	NOUN
bitcs-5565	149	5	(	(	PUNCT
bitcs-5565	149	6	5	5	NUM
bitcs-5565	149	7	)	)	PUNCT
bitcs-5565	149	8	iv	iv	NOUN
bitcs-5565	149	9	.	.	NOUN
bitcs-5565	149	10	results	result	NOUN
bitcs-5565	149	11	and	and	CCONJ
bitcs-5565	149	12	discussion	discussion	NOUN
bitcs-5565	149	13	on	on	ADP
bitcs-5565	149	14	the	the	DET
bitcs-5565	149	15	implementation	implementation	NOUN
bitcs-5565	149	16	of	of	ADP
bitcs-5565	149	17	algorithms	algorithm	NOUN
bitcs-5565	149	18	that	that	PRON
bitcs-5565	149	19	have	have	AUX
bitcs-5565	149	20	been	be	AUX
bitcs-5565	149	21	mentioned	mention	VERB
bitcs-5565	149	22	in	in	ADP
bitcs-5565	149	23	previous	previous	ADJ
bitcs-5565	149	24	section	section	NOUN
bitcs-5565	149	25	,	,	PUNCT
bitcs-5565	149	26	the	the	DET
bitcs-5565	149	27	following	follow	VERB
bitcs-5565	149	28	results	result	NOUN
bitcs-5565	149	29	have	have	AUX
bitcs-5565	149	30	been	be	AUX
bitcs-5565	149	31	obtained	obtain	VERB
bitcs-5565	149	32	:	:	PUNCT
bitcs-5565	150	1	table1	table1	PROPN
bitcs-5565	150	2	.	.	PUNCT
bitcs-5565	151	1	confusion	confusion	NOUN
bitcs-5565	151	2	matrix	matrix	NOUN
bitcs-5565	151	3	actual	actual	ADJ
bitcs-5565	151	4	/	/	PUNCT
bitcs-5565	151	5	predicted	predict	VERB
bitcs-5565	151	6	normal	normal	ADJ
bitcs-5565	151	7	abnormal	abnormal	ADJ
bitcs-5565	151	8	normal	normal	ADJ
bitcs-5565	151	9	tp	tp	ADP
bitcs-5565	151	10	fn	fn	PROPN
bitcs-5565	151	11	abnormal	abnormal	PROPN
bitcs-5565	151	12	fp	fp	PROPN
bitcs-5565	151	13	tn	tn	PROPN
bitcs-5565	151	14	table	table	NOUN
bitcs-5565	151	15	2	2	NUM
bitcs-5565	151	16	.	.	PUNCT
bitcs-5565	151	17	confusion	confusion	NOUN
bitcs-5565	151	18	matrix	matrix	NOUN
bitcs-5565	151	19	of	of	ADP
bitcs-5565	151	20	ann	ann	PROPN
bitcs-5565	151	21	without	without	ADP
bitcs-5565	151	22	rfe	rfe	PROPN
bitcs-5565	151	23	feature	feature	NOUN
bitcs-5565	151	24	selection	selection	NOUN
bitcs-5565	151	25	actual	actual	ADJ
bitcs-5565	151	26	/	/	PUNCT
bitcs-5565	151	27	predicted	predict	VERB
bitcs-5565	151	28	normal	normal	ADJ
bitcs-5565	151	29	abnormal	abnormal	ADJ
bitcs-5565	151	30	normal	normal	ADJ
bitcs-5565	151	31	15	15	NUM
bitcs-5565	151	32	3	3	NUM
bitcs-5565	151	33	abnormal	abnormal	ADJ
bitcs-5565	151	34	5	5	NUM
bitcs-5565	151	35	60	60	NUM
bitcs-5565	151	36	table	table	NOUN
bitcs-5565	151	37	3	3	NUM
bitcs-5565	151	38	.	.	PUNCT
bitcs-5565	151	39	confusion	confusion	NOUN
bitcs-5565	151	40	matrix	matrix	NOUN
bitcs-5565	151	41	of	of	ADP
bitcs-5565	151	42	ann	ann	PROPN
bitcs-5565	151	43	with	with	ADP
bitcs-5565	151	44	rfe	rfe	PROPN
bitcs-5565	151	45	feature	feature	NOUN
bitcs-5565	151	46	selection	selection	NOUN
bitcs-5565	151	47	actual	actual	ADJ
bitcs-5565	151	48	/	/	PUNCT
bitcs-5565	151	49	predicted	predict	VERB
bitcs-5565	151	50	normal	normal	ADJ
bitcs-5565	151	51	abnormal	abnormal	ADJ
bitcs-5565	151	52	normal	normal	ADJ
bitcs-5565	151	53	16	16	NUM
bitcs-5565	151	54	1	1	NUM
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bitcs-5565	151	56	5	5	NUM
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bitcs-5565	151	58	table	table	NOUN
bitcs-5565	151	59	4	4	NUM
bitcs-5565	151	60	.	.	PUNCT
bitcs-5565	151	61	performance	performance	NOUN
bitcs-5565	151	62	measure	measure	NOUN
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bitcs-5565	151	64	ann	ann	PROPN
bitcs-5565	151	65	model	model	NOUN
bitcs-5565	151	66	without	without	ADP
bitcs-5565	151	67	and	and	CCONJ
bitcs-5565	151	68	with	with	ADP
bitcs-5565	151	69	rfe	rfe	PROPN
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bitcs-5565	151	71	selection	selection	NOUN
bitcs-5565	151	72	model	model	NOUN
bitcs-5565	151	73	accuracy	accuracy	NOUN
bitcs-5565	151	74	precision	precision	NOUN
bitcs-5565	151	75	sensitivity	sensitivity	NOUN
bitcs-5565	151	76	specificity	specificity	NOUN
bitcs-5565	151	77	ann	ann	PROPN
bitcs-5565	151	78	without	without	ADP
bitcs-5565	151	79	90.36	90.36	NUM
bitcs-5565	151	80	%	%	NOUN
bitcs-5565	151	81	75	75	NUM
bitcs-5565	151	82	%	%	NOUN
bitcs-5565	151	83	83.3	83.3	NUM
bitcs-5565	151	84	%	%	NOUN
bitcs-5565	151	85	92.3	92.3	NUM
bitcs-5565	151	86	%	%	NOUN
bitcs-5565	151	87	vol	vol	NOUN
bitcs-5565	151	88	.	.	PROPN
bitcs-5565	152	1	4	4	NUM
bitcs-5565	152	2	,	,	PUNCT
bitcs-5565	152	3	no.2	no.2	PROPN
bitcs-5565	152	4	july	july	PROPN
bitcs-5565	152	5	2023	2023	NUM
bitcs-5565	152	6	|	|	ADV
bitcs-5565	152	7	92	92	NUM
bitcs-5565	152	8	rfe	rfe	NOUN
bitcs-5565	152	9	ann	ann	PROPN
bitcs-5565	152	10	with	with	ADP
bitcs-5565	152	11	rfe	rfe	PROPN
bitcs-5565	152	12	92.77	92.77	NUM
bitcs-5565	152	13	%	%	NOUN
bitcs-5565	152	14	76.1	76.1	NUM
bitcs-5565	152	15	%	%	NOUN
bitcs-5565	152	16	94.1	94.1	NUM
bitcs-5565	152	17	%	%	NOUN
bitcs-5565	152	18	92.4	92.4	NUM
bitcs-5565	152	19	%	%	NOUN
bitcs-5565	152	20	table	table	NOUN
bitcs-5565	152	21	5	5	NUM
bitcs-5565	152	22	.	.	PUNCT
bitcs-5565	152	23	confusion	confusion	NOUN
bitcs-5565	152	24	matrix	matrix	NOUN
bitcs-5565	152	25	of	of	ADP
bitcs-5565	152	26	adaboost	adaboost	ADJ
bitcs-5565	152	27	without	without	ADP
bitcs-5565	152	28	rfe	rfe	PROPN
bitcs-5565	152	29	feature	feature	NOUN
bitcs-5565	152	30	selection	selection	NOUN
bitcs-5565	152	31	actual	actual	ADJ
bitcs-5565	152	32	/	/	PUNCT
bitcs-5565	152	33	predicted	predict	VERB
bitcs-5565	152	34	normal	normal	ADJ
bitcs-5565	152	35	abnormal	abnormal	ADJ
bitcs-5565	152	36	normal	normal	ADJ
bitcs-5565	152	37	12	12	NUM
bitcs-5565	152	38	5	5	NUM
bitcs-5565	152	39	abnormal	abnormal	ADJ
bitcs-5565	152	40	6	6	NUM
bitcs-5565	152	41	60	60	NUM
bitcs-5565	152	42	table	table	NOUN
bitcs-5565	152	43	6	6	NUM
bitcs-5565	152	44	.	.	PUNCT
bitcs-5565	152	45	confusion	confusion	NOUN
bitcs-5565	152	46	matrix	matrix	NOUN
bitcs-5565	152	47	of	of	ADP
bitcs-5565	152	48	adaboost	adaboost	ADJ
bitcs-5565	152	49	with	with	ADP
bitcs-5565	152	50	rfe	rfe	PROPN
bitcs-5565	152	51	feature	feature	NOUN
bitcs-5565	152	52	selection	selection	NOUN
bitcs-5565	152	53	actual	actual	ADJ
bitcs-5565	152	54	/	/	PUNCT
bitcs-5565	152	55	predicted	predict	VERB
bitcs-5565	152	56	normal	normal	ADJ
bitcs-5565	152	57	abnormal	abnormal	ADJ
bitcs-5565	152	58	normal	normal	ADJ
bitcs-5565	152	59	13	13	NUM
bitcs-5565	152	60	4	4	NUM
bitcs-5565	152	61	abnormal	abnormal	ADJ
bitcs-5565	152	62	5	5	NUM
bitcs-5565	152	63	61	61	NUM
bitcs-5565	152	64	table	table	NOUN
bitcs-5565	152	65	7	7	NUM
bitcs-5565	152	66	.	.	PUNCT
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bitcs-5565	152	70	adaboost	adaboost	ADJ
bitcs-5565	152	71	model	model	NOUN
bitcs-5565	152	72	without	without	ADP
bitcs-5565	152	73	and	and	CCONJ
bitcs-5565	152	74	with	with	ADP
bitcs-5565	152	75	rfe	rfe	PROPN
bitcs-5565	152	76	feature	feature	NOUN
bitcs-5565	152	77	selection	selection	NOUN
bitcs-5565	152	78	model	model	NOUN
bitcs-5565	152	79	accuracy	accuracy	NOUN
bitcs-5565	152	80	precision	precision	NOUN
bitcs-5565	152	81	sensitivity	sensitivity	NOUN
bitcs-5565	152	82	specificity	specificity	NOUN
bitcs-5565	152	83	adaboost	adaboost	ADV
bitcs-5565	152	84	without	without	ADP
bitcs-5565	152	85	rfe	rfe	PROPN
bitcs-5565	152	86	86.74	86.74	NUM
bitcs-5565	152	87	%	%	NOUN
bitcs-5565	152	88	66.6	66.6	NUM
bitcs-5565	152	89	%	%	NOUN
bitcs-5565	152	90	70.5	70.5	NUM
bitcs-5565	152	91	%	%	NOUN
bitcs-5565	152	92	90.9	90.9	NUM
bitcs-5565	152	93	%	%	NOUN
bitcs-5565	152	94	adaboost	adaboost	ADV
bitcs-5565	152	95	with	with	ADP
bitcs-5565	152	96	rfe	rfe	PROPN
bitcs-5565	152	97	89.15	89.15	NUM
bitcs-5565	152	98	%	%	NOUN
bitcs-5565	152	99	72.2	72.2	NUM
bitcs-5565	152	100	%	%	NOUN
bitcs-5565	152	101	76.4	76.4	NUM
bitcs-5565	152	102	%	%	NOUN
bitcs-5565	152	103	92.4	92.4	NUM
bitcs-5565	152	104	%	%	NOUN
bitcs-5565	152	105	fig	fig	NOUN
bitcs-5565	152	106	.	.	PUNCT
bitcs-5565	153	1	4	4	X
bitcs-5565	153	2	.	.	X
bitcs-5565	153	3	show	show	NOUN
bitcs-5565	153	4	accuracy	accuracy	NOUN
bitcs-5565	153	5	of	of	ADP
bitcs-5565	153	6	ann	ann	PROPN
bitcs-5565	153	7	and	and	CCONJ
bitcs-5565	153	8	adaboost	adaboost	ADJ
bitcs-5565	153	9	models	model	NOUN
bitcs-5565	153	10	without	without	ADP
bitcs-5565	153	11	and	and	CCONJ
bitcs-5565	153	12	with	with	ADP
bitcs-5565	153	13	rfe	rfe	PROPN
bitcs-5565	153	14	feature	feature	NOUN
bitcs-5565	153	15	selection	selection	NOUN
bitcs-5565	153	16	fig	fig	NOUN
bitcs-5565	153	17	.	.	PUNCT
bitcs-5565	154	1	4	4	X
bitcs-5565	154	2	.	.	X
bitcs-5565	154	3	accuracy	accuracy	NOUN
bitcs-5565	154	4	of	of	ADP
bitcs-5565	154	5	ann	ann	PROPN
bitcs-5565	154	6	and	and	CCONJ
bitcs-5565	154	7	adaboost	adaboost	ADJ
bitcs-5565	154	8	models	model	NOUN
bitcs-5565	154	9	v.	v.	ADP
bitcs-5565	154	10	conclusions	conclusion	NOUN
bitcs-5565	154	11	this	this	DET
bitcs-5565	154	12	work	work	NOUN
bitcs-5565	154	13	presented	present	VERB
bitcs-5565	154	14	a	a	DET
bitcs-5565	154	15	model	model	NOUN
bitcs-5565	154	16	for	for	ADP
bitcs-5565	154	17	prediction	prediction	NOUN
bitcs-5565	154	18	of	of	ADP
bitcs-5565	154	19	liver	liver	NOUN
bitcs-5565	154	20	disease	disease	NOUN
bitcs-5565	154	21	occurrence	occurrence	NOUN
bitcs-5565	154	22	probability	probability	NOUN
bitcs-5565	154	23	.	.	PUNCT
bitcs-5565	155	1	the	the	DET
bitcs-5565	155	2	analyses	analysis	NOUN
bitcs-5565	155	3	and	and	CCONJ
bitcs-5565	155	4	evaluations	evaluation	NOUN
bitcs-5565	155	5	of	of	ADP
bitcs-5565	155	6	suggested	suggest	VERB
bitcs-5565	155	7	model	model	NOUN
bitcs-5565	155	8	have	have	AUX
bitcs-5565	155	9	shown	show	VERB
bitcs-5565	155	10	that	that	SCONJ
bitcs-5565	155	11	it	it	PRON
bitcs-5565	155	12	’s	’	VERB
bitcs-5565	155	13	highly	highly	ADV
bitcs-5565	155	14	sufficient	sufficient	ADJ
bitcs-5565	155	15	and	and	CCONJ
bitcs-5565	155	16	easy	easy	ADJ
bitcs-5565	155	17	to	to	PART
bitcs-5565	155	18	utilize	utilize	VERB
bitcs-5565	155	19	and	and	CCONJ
bitcs-5565	155	20	implement	implement	VERB
bitcs-5565	155	21	.	.	PUNCT
bitcs-5565	156	1	two	two	NUM
bitcs-5565	156	2	ml	ml	NOUN
bitcs-5565	156	3	algorithms	algorithm	NOUN
bitcs-5565	156	4	have	have	AUX
bitcs-5565	156	5	been	be	AUX
bitcs-5565	156	6	applied	apply	VERB
bitcs-5565	156	7	to	to	ADP
bitcs-5565	156	8	ilpd	ilpd	NOUN
bitcs-5565	156	9	data	datum	NOUN
bitcs-5565	156	10	-	-	PUNCT
bitcs-5565	156	11	set	set	VERB
bitcs-5565	156	12	for	for	ADP
bitcs-5565	156	13	classified	classified	ADJ
bitcs-5565	156	14	liver	liver	NOUN
bitcs-5565	156	15	patients	patient	NOUN
bitcs-5565	156	16	.	.	PUNCT
bitcs-5565	157	1	in	in	ADP
bitcs-5565	157	2	the	the	DET
bitcs-5565	157	3	data	datum	NOUN
bitcs-5565	157	4	preprocessing	preprocesse	VERB
bitcs-5565	157	5	issue	issue	NOUN
bitcs-5565	157	6	of	of	ADP
bitcs-5565	157	7	imbalanced	imbalanced	ADJ
bitcs-5565	157	8	class	class	NOUN
bitcs-5565	157	9	distribution	distribution	NOUN
bitcs-5565	157	10	,	,	PUNCT
bitcs-5565	157	11	an	an	DET
bitcs-5565	157	12	oversampling	oversampling	ADJ
bitcs-5565	157	13	technique	technique	NOUN
bitcs-5565	157	14	(	(	PUNCT
bitcs-5565	157	15	random	random	ADJ
bitcs-5565	157	16	over	over	ADP
bitcs-5565	157	17	sampling	sampling	NOUN
bitcs-5565	157	18	)	)	PUNCT
bitcs-5565	157	19	is	be	AUX
bitcs-5565	157	20	used	use	VERB
bitcs-5565	157	21	,	,	PUNCT
bitcs-5565	157	22	and	and	CCONJ
bitcs-5565	157	23	used	use	VERB
bitcs-5565	157	24	the	the	DET
bitcs-5565	157	25	z	z	NOUN
bitcs-5565	157	26	-	-	PUNCT
bitcs-5565	157	27	score	score	NOUN
bitcs-5565	157	28	outlier	outlier	NOUN
bitcs-5565	157	29	detection	detection	NOUN
bitcs-5565	157	30	technique	technique	NOUN
bitcs-5565	157	31	to	to	PART
bitcs-5565	157	32	detect	detect	VERB
bitcs-5565	157	33	the	the	DET
bitcs-5565	157	34	outliers	outlier	NOUN
bitcs-5565	157	35	and	and	CCONJ
bitcs-5565	157	36	handle	handle	VERB
bitcs-5565	157	37	those	those	DET
bitcs-5565	157	38	outliers	outlier	NOUN
bitcs-5565	157	39	using	use	VERB
bitcs-5565	157	40	robust	robust	ADJ
bitcs-5565	157	41	scaling	scaling	NOUN
bitcs-5565	157	42	.	.	PUNCT
bitcs-5565	158	1	then	then	ADV
bitcs-5565	158	2	applied	apply	VERB
bitcs-5565	158	3	rfe	rfe	NOUN
bitcs-5565	158	4	feature	feature	NOUN
bitcs-5565	158	5	selection	selection	NOUN
bitcs-5565	158	6	specifies	specify	VERB
bitcs-5565	158	7	the	the	DET
bitcs-5565	158	8	number	number	NOUN
bitcs-5565	158	9	of	of	ADP
bitcs-5565	158	10	characteristics	characteristic	NOUN
bitcs-5565	158	11	to	to	PART
bitcs-5565	158	12	be	be	AUX
bitcs-5565	158	13	chosen	choose	VERB
bitcs-5565	158	14	is	be	AUX
bitcs-5565	158	15	used	use	VERB
bitcs-5565	158	16	for	for	ADP
bitcs-5565	158	17	achieving	achieve	VERB
bitcs-5565	158	18	better	well	ADJ
bitcs-5565	158	19	performance	performance	NOUN
bitcs-5565	158	20	and	and	CCONJ
bitcs-5565	158	21	for	for	ADP
bitcs-5565	158	22	achieving	achieve	VERB
bitcs-5565	158	23	an	an	DET
bitcs-5565	158	24	enhanced	enhanced	ADJ
bitcs-5565	158	25	result	result	NOUN
bitcs-5565	158	26	,	,	PUNCT
bitcs-5565	158	27	we	we	PRON
bitcs-5565	158	28	have	have	AUX
bitcs-5565	158	29	applied	apply	VERB
bitcs-5565	158	30	ann	ann	PROPN
bitcs-5565	158	31	and	and	CCONJ
bitcs-5565	158	32	adaboost	adaboost	ADJ
bitcs-5565	158	33	algorithms	algorithm	NOUN
bitcs-5565	158	34	.	.	PUNCT
bitcs-5565	159	1	from	from	ADP
bitcs-5565	159	2	the	the	DET
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bitcs-5565	159	4	of	of	ADP
bitcs-5565	159	5	experimental	experimental	ADJ
bitcs-5565	159	6	results	result	NOUN
bitcs-5565	159	7	,	,	PUNCT
bitcs-5565	159	8	the	the	DET
bitcs-5565	159	9	ann	ann	PROPN
bitcs-5565	159	10	algorithm	algorithm	PROPN
bitcs-5565	159	11	has	have	AUX
bitcs-5565	159	12	achieved	achieve	VERB
bitcs-5565	159	13	the	the	DET
bitcs-5565	159	14	highest	high	ADJ
bitcs-5565	159	15	accuracy	accuracy	NOUN
bitcs-5565	159	16	of	of	ADP
bitcs-5565	159	17	92.77	92.77	NUM
bitcs-5565	159	18	%	%	NOUN
bitcs-5565	159	19	.	.	PUNCT
bitcs-5565	160	1	0,82	0,82	NOUN
bitcs-5565	160	2	0,84	0,84	NUM
bitcs-5565	160	3	0,86	0,86	NUM
bitcs-5565	160	4	0,88	0,88	NOUN
bitcs-5565	161	1	0,9	0,9	NUM
bitcs-5565	161	2	0,92	0,92	NUM
bitcs-5565	161	3	0,94	0,94	X
bitcs-5565	162	1	ann	ann	PROPN
bitcs-5565	162	2	without	without	ADP
bitcs-5565	162	3	rfe	rfe	PROPN
bitcs-5565	162	4	ann	ann	PROPN
bitcs-5565	162	5	with	with	ADP
bitcs-5565	162	6	rfe	rfe	PROPN
bitcs-5565	162	7	adboost	adboost	ADV
bitcs-5565	162	8	without	without	ADP
bitcs-5565	162	9	rfe	rfe	PROPN
bitcs-5565	162	10	adboost	adboost	ADV
bitcs-5565	162	11	with	with	ADP
bitcs-5565	162	12	rfe	rfe	NOUN
bitcs-5565	162	13	accuracy	accuracy	NOUN
bitcs-5565	162	14	models	model	NOUN
bitcs-5565	162	15	vol	vol	NOUN
bitcs-5565	162	16	.	.	PROPN
bitcs-5565	162	17	4	4	NUM
bitcs-5565	162	18	,	,	PUNCT
bitcs-5565	162	19	no.2	no.2	PROPN
bitcs-5565	162	20	july	july	PROPN
bitcs-5565	162	21	2023	2023	NUM
bitcs-5565	162	22	|	|	ADV
bitcs-5565	162	23	93	93	NUM
bitcs-5565	162	24	references	reference	NOUN
bitcs-5565	162	25	[	[	X
bitcs-5565	162	26	1	1	NUM
bitcs-5565	162	27	]	]	PUNCT
bitcs-5565	162	28	h.	h.	PROPN
bitcs-5565	162	29	hartatik	hartatik	PROPN
bitcs-5565	162	30	,	,	PUNCT
bitcs-5565	162	31	m.	m.	PROPN
bitcs-5565	162	32	b.	b.	PROPN
bitcs-5565	162	33	tamam	tamam	PROPN
bitcs-5565	162	34	,	,	PUNCT
bitcs-5565	162	35	and	and	CCONJ
bitcs-5565	162	36	a.	a.	NOUN
bitcs-5565	162	37	setyanto	setyanto	NOUN
bitcs-5565	162	38	,	,	PUNCT
bitcs-5565	162	39	“	"	PUNCT
bitcs-5565	162	40	prediction	prediction	NOUN
bitcs-5565	162	41	for	for	ADP
bitcs-5565	162	42	diagnosing	diagnose	VERB
bitcs-5565	162	43	liver	liver	NOUN
bitcs-5565	162	44	disease	disease	NOUN
bitcs-5565	162	45	in	in	ADP
bitcs-5565	162	46	patients	patient	NOUN
bitcs-5565	162	47	using	use	VERB
bitcs-5565	162	48	knn	knn	PROPN
bitcs-5565	162	49	and	and	CCONJ
bitcs-5565	162	50	naïve	naïve	ADJ
bitcs-5565	162	51	bayes	bayes	NOUN
bitcs-5565	162	52	algorithms	algorithm	NOUN
bitcs-5565	162	53	,	,	PUNCT
bitcs-5565	162	54	”	"	PUNCT
bitcs-5565	162	55	2020	2020	NUM
bitcs-5565	162	56	2nd	2nd	ADJ
bitcs-5565	162	57	int	int	NOUN
bitcs-5565	162	58	.	.	PUNCT
bitcs-5565	163	1	conf	conf	NOUN
bitcs-5565	163	2	.	.	PUNCT
bitcs-5565	164	1	cybern	cybern	PROPN
bitcs-5565	164	2	.	.	PUNCT
bitcs-5565	165	1	intell	intell	PROPN
bitcs-5565	165	2	.	.	PUNCT
bitcs-5565	166	1	syst	syst	PROPN
bitcs-5565	166	2	.	.	PUNCT
bitcs-5565	167	1	icoris	icoris	PROPN
bitcs-5565	167	2	2020	2020	NUM
bitcs-5565	167	3	,	,	PUNCT
bitcs-5565	167	4	pp	pp	ADV
bitcs-5565	167	5	.	.	PUNCT
bitcs-5565	168	1	1–5	1–5	NUM
bitcs-5565	168	2	,	,	PUNCT
bitcs-5565	168	3	2020	2020	NUM
bitcs-5565	168	4	,	,	PUNCT
bitcs-5565	168	5	doi	doi	NOUN
bitcs-5565	168	6	:	:	PUNCT
bitcs-5565	168	7	10.1109	10.1109	NUM
bitcs-5565	168	8	/	/	SYM
bitcs-5565	168	9	icoris50180.2020.9320797	icoris50180.2020.9320797	NUM
bitcs-5565	168	10	.	.	PUNCT
bitcs-5565	169	1	[	[	X
bitcs-5565	169	2	2	2	X
bitcs-5565	169	3	]	]	PUNCT
bitcs-5565	169	4	m.	m.	NOUN
bitcs-5565	169	5	a.	a.	PROPN
bitcs-5565	169	6	kuzhippallil	kuzhippallil	PROPN
bitcs-5565	169	7	,	,	PUNCT
bitcs-5565	169	8	c.	c.	PROPN
bitcs-5565	169	9	joseph	joseph	PROPN
bitcs-5565	169	10	,	,	PUNCT
bitcs-5565	169	11	and	and	CCONJ
bitcs-5565	169	12	a.	a.	PROPN
bitcs-5565	169	13	kannan	kannan	PROPN
bitcs-5565	169	14	,	,	PUNCT
bitcs-5565	169	15	“	"	PUNCT
bitcs-5565	169	16	comparative	comparative	ADJ
bitcs-5565	169	17	analysis	analysis	NOUN
bitcs-5565	169	18	of	of	ADP
bitcs-5565	169	19	machine	machine	NOUN
bitcs-5565	169	20	learning	learn	VERB
bitcs-5565	169	21	techniques	technique	NOUN
bitcs-5565	169	22	for	for	ADP
bitcs-5565	169	23	indian	indian	ADJ
bitcs-5565	169	24	liver	liver	NOUN
bitcs-5565	169	25	disease	disease	NOUN
bitcs-5565	169	26	patients	patient	NOUN
bitcs-5565	169	27	,	,	PUNCT
bitcs-5565	169	28	”	"	PUNCT
bitcs-5565	169	29	2020	2020	NUM
bitcs-5565	169	30	6th	6th	ADJ
bitcs-5565	169	31	int	int	NOUN
bitcs-5565	169	32	.	.	PUNCT
bitcs-5565	170	1	conf	conf	NOUN
bitcs-5565	170	2	.	.	PUNCT
bitcs-5565	171	1	adv	adv	PROPN
bitcs-5565	171	2	.	.	PUNCT
bitcs-5565	172	1	comput	comput	PROPN
bitcs-5565	172	2	.	.	PUNCT
bitcs-5565	173	1	commun	commun	PROPN
bitcs-5565	173	2	.	.	PUNCT
bitcs-5565	174	1	syst	syst	PROPN
bitcs-5565	174	2	.	.	PUNCT
bitcs-5565	175	1	icaccs	icaccs	NOUN
bitcs-5565	175	2	2020	2020	NUM
bitcs-5565	175	3	,	,	PUNCT
bitcs-5565	175	4	pp	pp	ADV
bitcs-5565	175	5	.	.	PUNCT
bitcs-5565	176	1	778–782	778–782	NUM
bitcs-5565	176	2	,	,	PUNCT
bitcs-5565	176	3	2020	2020	NUM
bitcs-5565	176	4	,	,	PUNCT
bitcs-5565	176	5	doi	doi	NOUN
bitcs-5565	176	6	:	:	PUNCT
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bitcs-5565	176	8	/	/	SYM
bitcs-5565	176	9	icaccs48705.2020.9074368	icaccs48705.2020.9074368	PROPN
bitcs-5565	176	10	.	.	PUNCT
bitcs-5565	177	1	[	[	X
bitcs-5565	177	2	3	3	X
bitcs-5565	177	3	]	]	X
bitcs-5565	177	4	m.	m.	NOUN
bitcs-5565	177	5	a.	a.	PROPN
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bitcs-5565	177	8	n.	n.	PROPN
bitcs-5565	177	9	a.	a.	NOUN
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bitcs-5565	177	11	,	,	PUNCT
bitcs-5565	177	12	“	"	PUNCT
bitcs-5565	177	13	detecting	detect	VERB
bitcs-5565	177	14	liver	liver	NOUN
bitcs-5565	177	15	disease	disease	NOUN
bitcs-5565	177	16	diagnosis	diagnosis	NOUN
bitcs-5565	177	17	by	by	ADP
bitcs-5565	177	18	combining	combine	VERB
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bitcs-5565	177	20	,	,	PUNCT
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bitcs-5565	177	22	gain	gain	NOUN
bitcs-5565	177	23	attribute	attribute	NOUN
bitcs-5565	177	24	evaluation	evaluation	NOUN
bitcs-5565	177	25	,	,	PUNCT
bitcs-5565	177	26	and	and	CCONJ
bitcs-5565	177	27	ranker	ranker	NOUN
bitcs-5565	177	28	,	,	PUNCT
bitcs-5565	177	29	”	"	PUNCT
bitcs-5565	177	30	itsmart	itsmart	PROPN
bitcs-5565	177	31	j.	j.	PROPN
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bitcs-5565	177	33	.	.	PUNCT
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bitcs-5565	178	2	inf	inf	PROPN
bitcs-5565	178	3	.	.	PROPN
bitcs-5565	178	4	,	,	PUNCT
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bitcs-5565	178	6	.	.	PROPN
bitcs-5565	179	1	9	9	NUM
bitcs-5565	179	2	,	,	PUNCT
bitcs-5565	179	3	no	no	INTJ
bitcs-5565	179	4	.	.	NOUN
bitcs-5565	179	5	1	1	NUM
bitcs-5565	179	6	,	,	PUNCT
bitcs-5565	179	7	pp	pp	ADJ
bitcs-5565	179	8	.	.	PUNCT
bitcs-5565	180	1	13–17	13–17	NUM
bitcs-5565	180	2	,	,	PUNCT
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bitcs-5565	180	4	.	.	PUNCT
bitcs-5565	181	1	[	[	X
bitcs-5565	181	2	4	4	NUM
bitcs-5565	181	3	]	]	PUNCT
bitcs-5565	181	4	a.	a.	PROPN
bitcs-5565	181	5	s.	s.	PROPN
bitcs-5565	181	6	jaddoa	jaddoa	PROPN
bitcs-5565	181	7	,	,	PUNCT
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bitcs-5565	181	10	,	,	PUNCT
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bitcs-5565	181	12	m.	m.	PROPN
bitcs-5565	181	13	al	al	PROPN
bitcs-5565	181	14	-	-	PUNCT
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bitcs-5565	181	16	,	,	PUNCT
bitcs-5565	181	17	“	"	PUNCT
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bitcs-5565	181	19	of	of	ADP
bitcs-5565	181	20	data	datum	NOUN
bitcs-5565	181	21	mining	mining	NOUN
bitcs-5565	181	22	algorithms	algorithm	NOUN
bitcs-5565	181	23	for	for	ADP
bitcs-5565	181	24	diagnosis	diagnosis	NOUN
bitcs-5565	181	25	of	of	ADP
bitcs-5565	181	26	diabetes	diabetes	NOUN
bitcs-5565	181	27	mellitus	mellitus	NOUN
bitcs-5565	181	28	,	,	PUNCT
bitcs-5565	181	29	”	"	PUNCT
bitcs-5565	181	30	vol	vol	NOUN
bitcs-5565	181	31	.	.	PROPN
bitcs-5565	182	1	10	10	NUM
bitcs-5565	182	2	,	,	PUNCT
bitcs-5565	182	3	no	no	INTJ
bitcs-5565	182	4	.	.	NOUN
bitcs-5565	182	5	2	2	NUM
bitcs-5565	182	6	,	,	PUNCT
bitcs-5565	182	7	pp	pp	ADJ
bitcs-5565	182	8	.	.	PUNCT
bitcs-5565	183	1	1–8	1–8	NUM
bitcs-5565	183	2	,	,	PUNCT
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bitcs-5565	183	4	.	.	PUNCT
bitcs-5565	184	1	[	[	X
bitcs-5565	184	2	5	5	NUM
bitcs-5565	184	3	]	]	PUNCT
bitcs-5565	184	4	r.	r.	PROPN
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bitcs-5565	184	6	,	,	PUNCT
bitcs-5565	184	7	s.	s.	PROPN
bitcs-5565	184	8	jaddoa	jaddoa	PROPN
bitcs-5565	184	9	,	,	PUNCT
bitcs-5565	184	10	p.	p.	NOUN
bitcs-5565	184	11	ziyad	ziyad	PROPN
bitcs-5565	184	12	,	,	PUNCT
bitcs-5565	184	13	and	and	CCONJ
bitcs-5565	184	14	t.	t.	PROPN
bitcs-5565	184	15	mustafa	mustafa	PROPN
bitcs-5565	184	16	,	,	PUNCT
bitcs-5565	184	17	“	"	PUNCT
bitcs-5565	184	18	diagnosis	diagnosis	NOUN
bitcs-5565	184	19	of	of	ADP
bitcs-5565	184	20	diabetes	diabetes	NOUN
bitcs-5565	184	21	mellitus	mellitus	NOUN
bitcs-5565	184	22	using	use	VERB
bitcs-5565	184	23	hybrid	hybrid	ADJ
bitcs-5565	184	24	techniques	technique	NOUN
bitcs-5565	184	25	for	for	ADP
bitcs-5565	184	26	feature	feature	NOUN
bitcs-5565	184	27	selection	selection	NOUN
bitcs-5565	184	28	and	and	CCONJ
bitcs-5565	184	29	classification	classification	NOUN
bitcs-5565	184	30	,	,	PUNCT
bitcs-5565	184	31	”	"	PUNCT
bitcs-5565	184	32	pp	pp	ADV
bitcs-5565	184	33	.	.	PUNCT
bitcs-5565	185	1	1650–1663	1650–1663	NUM
bitcs-5565	185	2	,	,	PUNCT
bitcs-5565	185	3	2021	2021	NUM
bitcs-5565	185	4	.	.	PUNCT
bitcs-5565	186	1	[	[	X
bitcs-5565	186	2	6	6	NUM
bitcs-5565	186	3	]	]	PUNCT
bitcs-5565	186	4	s.	s.	PROPN
bitcs-5565	186	5	jain	jain	PROPN
bitcs-5565	186	6	,	,	PUNCT
bitcs-5565	186	7	r.	r.	PROPN
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bitcs-5565	186	9	,	,	PUNCT
bitcs-5565	186	10	and	and	CCONJ
bitcs-5565	186	11	r.	r.	PROPN
bitcs-5565	186	12	rajkamal	rajkamal	NOUN
bitcs-5565	186	13	,	,	PUNCT
bitcs-5565	186	14	“	"	PUNCT
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bitcs-5565	186	17	classification	classification	NOUN
bitcs-5565	186	18	of	of	ADP
bitcs-5565	186	19	liver	liver	NOUN
bitcs-5565	186	20	diseases	disease	NOUN
bitcs-5565	186	21	using	use	VERB
bitcs-5565	186	22	intelligent	intelligent	ADJ
bitcs-5565	186	23	techniques	technique	NOUN
bitcs-5565	186	24	classification	classification	NOUN
bitcs-5565	186	25	of	of	ADP
bitcs-5565	186	26	liver	liver	NOUN
bitcs-5565	186	27	diseases	disease	NOUN
bitcs-5565	186	28	using	use	VERB
bitcs-5565	186	29	intelligent	intelligent	ADJ
bitcs-5565	186	30	techniques	technique	NOUN
bitcs-5565	186	31	,	,	PUNCT
bitcs-5565	186	32	”	"	PUNCT
bitcs-5565	186	33	2021	2021	NUM
bitcs-5565	186	34	.	.	PUNCT
bitcs-5565	187	1	[	[	X
bitcs-5565	187	2	7	7	X
bitcs-5565	187	3	]	]	X
bitcs-5565	187	4	g.	g.	PROPN
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bitcs-5565	187	6	,	,	PUNCT
bitcs-5565	187	7	g.	g.	PROPN
bitcs-5565	187	8	m.	m.	PROPN
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bitcs-5565	187	10	,	,	PUNCT
bitcs-5565	187	11	y.	y.	PROPN
bitcs-5565	187	12	m.	m.	PROPN
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bitcs-5565	187	14	,	,	PUNCT
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bitcs-5565	187	16	a.	a.	PROPN
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bitcs-5565	187	19	,	,	PUNCT
bitcs-5565	187	20	“	"	PUNCT
bitcs-5565	187	21	a	a	DET
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bitcs-5565	187	23	model	model	NOUN
bitcs-5565	187	24	for	for	ADP
bitcs-5565	187	25	the	the	DET
bitcs-5565	187	26	pediction	pediction	NOUN
bitcs-5565	187	27	of	of	ADP
bitcs-5565	187	28	liver	liver	NOUN
bitcs-5565	187	29	cirrhosis	cirrhosis	NOUN
bitcs-5565	187	30	using	use	VERB
bitcs-5565	187	31	machine	machine	NOUN
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bitcs-5565	187	34	,	,	PUNCT
bitcs-5565	187	35	”	"	PUNCT
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bitcs-5565	187	37	.	.	PUNCT
bitcs-5565	188	1	sci	sci	PROPN
bitcs-5565	188	2	.	.	PUNCT
bitcs-5565	189	1	it	it	PRON
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bitcs-5565	189	3	.	.	PUNCT
bitcs-5565	190	1	j.	j.	PROPN
bitcs-5565	190	2	,	,	PUNCT
bitcs-5565	190	3	vol	vol	NOUN
bitcs-5565	190	4	.	.	PROPN
bitcs-5565	191	1	3	3	NUM
bitcs-5565	191	2	,	,	PUNCT
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bitcs-5565	191	4	.	.	NOUN
bitcs-5565	191	5	1	1	NUM
bitcs-5565	191	6	,	,	PUNCT
bitcs-5565	191	7	pp	pp	ADJ
bitcs-5565	191	8	.	.	PUNCT
bitcs-5565	192	1	36–51	36–51	NUM
bitcs-5565	192	2	,	,	PUNCT
bitcs-5565	192	3	2022	2022	NUM
bitcs-5565	192	4	,	,	PUNCT
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bitcs-5565	192	6	:	:	PUNCT
bitcs-5565	192	7	10.51594	10.51594	NUM
bitcs-5565	192	8	/	/	SYM
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bitcs-5565	192	10	.	.	PUNCT
bitcs-5565	193	1	[	[	X
bitcs-5565	193	2	8	8	NUM
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bitcs-5565	193	4	g.	g.	PROPN
bitcs-5565	193	5	s.	s.	PROPN
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bitcs-5565	193	7	kaur	kaur	PROPN
bitcs-5565	193	8	,	,	PUNCT
bitcs-5565	193	9	“	"	PUNCT
bitcs-5565	193	10	the	the	DET
bitcs-5565	193	11	diagnosis	diagnosis	NOUN
bitcs-5565	193	12	of	of	ADP
bitcs-5565	193	13	chronic	chronic	ADJ
bitcs-5565	193	14	liver	liver	NOUN
bitcs-5565	193	15	disease	disease	NOUN
bitcs-5565	193	16	using	use	VERB
bitcs-5565	193	17	machine	machine	NOUN
bitcs-5565	193	18	learning	learning	NOUN
bitcs-5565	193	19	techniques	technique	NOUN
bitcs-5565	193	20	,	,	PUNCT
bitcs-5565	193	21	”	"	PUNCT
bitcs-5565	193	22	inf	inf	NOUN
bitcs-5565	193	23	.	.	PUNCT
bitcs-5565	193	24	technol	technol	PROPN
bitcs-5565	193	25	.	.	PUNCT
bitcs-5565	194	1	ind	ind	PROPN
bitcs-5565	194	2	.	.	PUNCT
bitcs-5565	194	3	,	,	PUNCT
bitcs-5565	194	4	vol	vol	NOUN
bitcs-5565	194	5	.	.	PROPN
bitcs-5565	195	1	9	9	NUM
bitcs-5565	195	2	,	,	PUNCT
bitcs-5565	195	3	no	no	INTJ
bitcs-5565	195	4	.	.	NOUN
bitcs-5565	195	5	2	2	NUM
bitcs-5565	195	6	,	,	PUNCT
bitcs-5565	195	7	pp	pp	ADJ
bitcs-5565	195	8	.	.	PUNCT
bitcs-5565	196	1	554–564	554–564	NUM
bitcs-5565	196	2	,	,	PUNCT
bitcs-5565	196	3	2021	2021	NUM
bitcs-5565	196	4	,	,	PUNCT
bitcs-5565	196	5	doi	doi	NOUN
bitcs-5565	196	6	:	:	PUNCT
bitcs-5565	196	7	10.17762	10.17762	NUM
bitcs-5565	196	8	/	/	SYM
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bitcs-5565	196	10	.	.	PUNCT
bitcs-5565	197	1	[	[	X
bitcs-5565	197	2	9	9	NUM
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bitcs-5565	197	4	m.	m.	NOUN
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bitcs-5565	197	9	,	,	PUNCT
bitcs-5565	197	10	“	"	PUNCT
bitcs-5565	197	11	a	a	DET
bitcs-5565	197	12	comparative	comparative	ADJ
bitcs-5565	197	13	analysis	analysis	NOUN
bitcs-5565	197	14	of	of	ADP
bitcs-5565	197	15	machine	machine	NOUN
bitcs-5565	197	16	learning	learn	VERB
bitcs-5565	197	17	algorithms	algorithm	NOUN
bitcs-5565	197	18	to	to	PART
bitcs-5565	197	19	predict	predict	VERB
bitcs-5565	197	20	liver	liver	NOUN
bitcs-5565	197	21	disease	disease	NOUN
bitcs-5565	197	22	,	,	PUNCT
bitcs-5565	197	23	”	"	PUNCT
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bitcs-5565	197	25	.	.	PUNCT
bitcs-5565	198	1	autom	autom	PROPN
bitcs-5565	198	2	.	.	PUNCT
bitcs-5565	199	1	soft	soft	ADJ
bitcs-5565	199	2	comput	comput	NOUN
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bitcs-5565	200	1	,	,	PUNCT
bitcs-5565	200	2	vol	vol	NOUN
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bitcs-5565	200	4	30	30	NUM
bitcs-5565	200	5	,	,	PUNCT
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bitcs-5565	200	8	3	3	NUM
bitcs-5565	200	9	,	,	PUNCT
bitcs-5565	200	10	pp	pp	ADJ
bitcs-5565	200	11	.	.	PUNCT
bitcs-5565	201	1	917–928	917–928	NUM
bitcs-5565	201	2	,	,	PUNCT
bitcs-5565	201	3	2021	2021	NUM
bitcs-5565	201	4	,	,	PUNCT
bitcs-5565	201	5	doi	doi	NOUN
bitcs-5565	201	6	:	:	PUNCT
bitcs-5565	201	7	10.32604	10.32604	NUM
bitcs-5565	201	8	/	/	SYM
bitcs-5565	201	9	iasc.2021.017989	iasc.2021.017989	NOUN
bitcs-5565	201	10	.	.	PUNCT
bitcs-5565	202	1	[	[	X
bitcs-5565	202	2	10	10	NUM
bitcs-5565	202	3	]	]	X
bitcs-5565	202	4	n.	n.	PROPN
bitcs-5565	202	5	nahar	nahar	PROPN
bitcs-5565	202	6	,	,	PUNCT
bitcs-5565	202	7	f.	f.	PROPN
bitcs-5565	202	8	ara	ara	PROPN
bitcs-5565	202	9	,	,	PUNCT
bitcs-5565	202	10	m.	m.	PROPN
bitcs-5565	202	11	a.	a.	PROPN
bitcs-5565	202	12	i.	i.	PROPN
bitcs-5565	202	13	neloy	neloy	PROPN
bitcs-5565	202	14	,	,	PUNCT
bitcs-5565	202	15	v.	v.	CCONJ
bitcs-5565	202	16	barua	barua	PROPN
bitcs-5565	202	17	,	,	PUNCT
bitcs-5565	202	18	m.	m.	NOUN
bitcs-5565	202	19	s.	s.	PROPN
bitcs-5565	202	20	hossain	hossain	PROPN
bitcs-5565	202	21	,	,	PUNCT
bitcs-5565	202	22	and	and	CCONJ
bitcs-5565	202	23	k.	k.	PROPN
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bitcs-5565	202	25	,	,	PUNCT
bitcs-5565	202	26	“	"	PUNCT
bitcs-5565	202	27	a	a	DET
bitcs-5565	202	28	comparative	comparative	ADJ
bitcs-5565	202	29	analysis	analysis	NOUN
bitcs-5565	202	30	of	of	ADP
bitcs-5565	202	31	the	the	DET
bitcs-5565	202	32	ensemble	ensemble	ADJ
bitcs-5565	202	33	method	method	NOUN
bitcs-5565	202	34	for	for	ADP
bitcs-5565	202	35	liver	liver	NOUN
bitcs-5565	202	36	disease	disease	NOUN
bitcs-5565	202	37	prediction	prediction	NOUN
bitcs-5565	202	38	,	,	PUNCT
bitcs-5565	202	39	”	"	PUNCT
bitcs-5565	202	40	iciet	iciet	ADJ
bitcs-5565	202	41	2019	2019	NUM
bitcs-5565	202	42	2nd	2nd	ADJ
bitcs-5565	202	43	int	int	NOUN
bitcs-5565	202	44	.	.	PUNCT
bitcs-5565	203	1	conf	conf	PROPN
bitcs-5565	203	2	.	.	PUNCT
bitcs-5565	204	1	innov	innov	PROPN
bitcs-5565	204	2	.	.	PUNCT
bitcs-5565	205	1	eng	eng	PROPN
bitcs-5565	205	2	.	.	PROPN
bitcs-5565	205	3	technol	technol	PROPN
bitcs-5565	205	4	.	.	PROPN
bitcs-5565	205	5	,	,	PUNCT
bitcs-5565	206	1	pp	pp	ADJ
bitcs-5565	206	2	.	.	PUNCT
bitcs-5565	207	1	23–24	23–24	NUM
bitcs-5565	207	2	,	,	PUNCT
bitcs-5565	207	3	2019	2019	NUM
bitcs-5565	207	4	,	,	PUNCT
bitcs-5565	207	5	doi	doi	NOUN
bitcs-5565	207	6	:	:	PUNCT
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bitcs-5565	219	2	,	,	PUNCT
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