id	sid	tid	token	lemma	pos
ijassa-1115	1	1	microsoft	microsoft	PROPN
ijassa-1115	1	2	word	word	NOUN
ijassa-1115	1	3	1115	1115	NUM
ijassa-1115	1	4	-	-	PUNCT
ijassa-1115	1	5	source	source	NOUN
ijassa-1115	1	6	texts-6538	texts-6538	NOUN
ijassa-1115	1	7	-	-	PUNCT
ijassa-1115	1	8	1	1	NUM
ijassa-1115	1	9	-	-	PUNCT
ijassa-1115	1	10	18	18	NUM
ijassa-1115	1	11	-	-	PUNCT
ijassa-1115	1	12	20231219	20231219	NUM
ijassa-1115	1	13	adv	adv	PROPN
ijassa-1115	1	14	syst	syst	PROPN
ijassa-1115	1	15	sci	sci	PROPN
ijassa-1115	1	16	appl	appl	PROPN
ijassa-1115	1	17	2023	2023	NUM
ijassa-1115	1	18	;	;	PUNCT
ijassa-1115	1	19	04	04	NUM
ijassa-1115	1	20	;	;	PUNCT
ijassa-1115	1	21	148	148	NUM
ijassa-1115	1	22	-	-	SYM
ijassa-1115	1	23	155	155	NUM
ijassa-1115	1	24	published	publish	VERB
ijassa-1115	1	25	online	online	ADV
ijassa-1115	1	26	at	at	ADP
ijassa-1115	1	27	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-1115	1	28	.	.	PUNCT
ijassa-1115	2	1	comparison	comparison	NOUN
ijassa-1115	2	2	to	to	ADP
ijassa-1115	2	3	the	the	DET
ijassa-1115	2	4	proposed	propose	VERB
ijassa-1115	2	5	hybrid	hybrid	NOUN
ijassa-1115	2	6	model	model	NOUN
ijassa-1115	2	7	and	and	CCONJ
ijassa-1115	2	8	machine	machine	NOUN
ijassa-1115	2	9	learning	learn	VERB
ijassa-1115	2	10	techniques	technique	NOUN
ijassa-1115	2	11	for	for	ADP
ijassa-1115	2	12	survival	survival	NOUN
ijassa-1115	2	13	prediction	prediction	NOUN
ijassa-1115	2	14	of	of	ADP
ijassa-1115	2	15	corona	corona	NOUN
ijassa-1115	2	16	,	,	PUNCT
ijassa-1115	2	17	infected	infect	VERB
ijassa-1115	2	18	patients	patient	NOUN
ijassa-1115	2	19	md	md	PROPN
ijassa-1115	2	20	.	.	PROPN
ijassa-1115	2	21	asadullah1	asadullah1	PROPN
ijassa-1115	3	1	*	*	PROPN
ijassa-1115	3	2	,	,	PUNCT
ijassa-1115	3	3	md	md	PROPN
ijassa-1115	3	4	.	.	PROPN
ijassa-1115	3	5	murad	murad	PROPN
ijassa-1115	3	6	hossain1	hossain1	PROPN
ijassa-1115	3	7	,	,	PUNCT
ijassa-1115	3	8	md	md	PROPN
ijassa-1115	3	9	.	.	PUNCT
ijassa-1115	4	1	matiur	matiur	PROPN
ijassa-1115	4	2	rahman	rahman	PROPN
ijassa-1115	4	3	molla2	molla2	PROPN
ijassa-1115	4	4	,	,	PUNCT
ijassa-1115	4	5	md	md	PROPN
ijassa-1115	4	6	.	.	PUNCT
ijassa-1115	5	1	matiur	matiur	PROPN
ijassa-1115	5	2	rahaman1	rahaman1	PROPN
ijassa-1115	5	3	1	1	NUM
ijassa-1115	5	4	bangabandhu	bangabandhu	NOUN
ijassa-1115	5	5	sheikh	sheikh	NOUN
ijassa-1115	5	6	mujibur	mujibur	PROPN
ijassa-1115	5	7	rahman	rahman	PROPN
ijassa-1115	5	8	science	science	PROPN
ijassa-1115	5	9	and	and	CCONJ
ijassa-1115	5	10	technology	technology	PROPN
ijassa-1115	5	11	university	university	NOUN
ijassa-1115	5	12	,	,	PUNCT
ijassa-1115	5	13	gopalganj	gopalganj	NOUN
ijassa-1115	5	14	,	,	PUNCT
ijassa-1115	5	15	bangladesh	bangladesh	PROPN
ijassa-1115	5	16	2	2	NUM
ijassa-1115	5	17	islamic	islamic	PROPN
ijassa-1115	5	18	university	university	PROPN
ijassa-1115	5	19	,	,	PUNCT
ijassa-1115	5	20	kushtia	kushtia	PROPN
ijassa-1115	5	21	,	,	PUNCT
ijassa-1115	5	22	bangladesh	bangladesh	PROPN
ijassa-1115	5	23	abstract	abstract	NOUN
ijassa-1115	5	24	:	:	PUNCT
ijassa-1115	5	25	sars	sar	NOUN
ijassa-1115	5	26	-	-	PUNCT
ijassa-1115	5	27	cov-2	cov-2	NOUN
ijassa-1115	5	28	,	,	PUNCT
ijassa-1115	5	29	a	a	DET
ijassa-1115	5	30	novel	novel	ADJ
ijassa-1115	5	31	coronavirus	coronavirus	NOUN
ijassa-1115	5	32	discovered	discover	VERB
ijassa-1115	5	33	in	in	ADP
ijassa-1115	5	34	wuhan	wuhan	PROPN
ijassa-1115	5	35	,	,	PUNCT
ijassa-1115	5	36	china	china	PROPN
ijassa-1115	5	37	is	be	AUX
ijassa-1115	5	38	spreading	spread	VERB
ijassa-1115	5	39	quickly	quickly	ADV
ijassa-1115	5	40	and	and	CCONJ
ijassa-1115	5	41	has	have	VERB
ijassa-1115	5	42	a	a	DET
ijassa-1115	5	43	high	high	ADJ
ijassa-1115	5	44	incidence	incidence	NOUN
ijassa-1115	5	45	rate	rate	NOUN
ijassa-1115	5	46	around	around	ADP
ijassa-1115	5	47	the	the	DET
ijassa-1115	5	48	globe	globe	NOUN
ijassa-1115	5	49	.	.	PUNCT
ijassa-1115	6	1	as	as	ADP
ijassa-1115	6	2	a	a	DET
ijassa-1115	6	3	result	result	NOUN
ijassa-1115	6	4	,	,	PUNCT
ijassa-1115	6	5	everyone	everyone	PRON
ijassa-1115	6	6	on	on	ADP
ijassa-1115	6	7	the	the	DET
ijassa-1115	6	8	planet	planet	NOUN
ijassa-1115	6	9	is	be	AUX
ijassa-1115	6	10	having	have	VERB
ijassa-1115	6	11	difficulty	difficulty	NOUN
ijassa-1115	6	12	adjusting	adjust	VERB
ijassa-1115	6	13	to	to	ADP
ijassa-1115	6	14	the	the	DET
ijassa-1115	6	15	effects	effect	NOUN
ijassa-1115	6	16	of	of	ADP
ijassa-1115	6	17	corona	corona	NOUN
ijassa-1115	6	18	and	and	CCONJ
ijassa-1115	6	19	is	be	AUX
ijassa-1115	6	20	unable	unable	ADJ
ijassa-1115	6	21	to	to	PART
ijassa-1115	6	22	foresee	foresee	VERB
ijassa-1115	6	23	the	the	DET
ijassa-1115	6	24	devastation	devastation	NOUN
ijassa-1115	6	25	and	and	CCONJ
ijassa-1115	6	26	disaster	disaster	NOUN
ijassa-1115	6	27	caused	cause	VERB
ijassa-1115	6	28	by	by	ADP
ijassa-1115	6	29	covid-19	covid-19	PROPN
ijassa-1115	6	30	.	.	PUNCT
ijassa-1115	7	1	in	in	ADP
ijassa-1115	7	2	this	this	DET
ijassa-1115	7	3	work	work	NOUN
ijassa-1115	7	4	,	,	PUNCT
ijassa-1115	7	5	we	we	PRON
ijassa-1115	7	6	predict	predict	VERB
ijassa-1115	7	7	the	the	DET
ijassa-1115	7	8	survival	survival	NOUN
ijassa-1115	7	9	status	status	NOUN
ijassa-1115	7	10	of	of	ADP
ijassa-1115	7	11	patients	patient	NOUN
ijassa-1115	7	12	infected	infect	VERB
ijassa-1115	7	13	with	with	ADP
ijassa-1115	7	14	coronavirus	coronavirus	NOUN
ijassa-1115	7	15	using	use	VERB
ijassa-1115	7	16	three	three	NUM
ijassa-1115	7	17	distinct	distinct	ADJ
ijassa-1115	7	18	machine	machine	NOUN
ijassa-1115	7	19	learning	learning	NOUN
ijassa-1115	7	20	(	(	PUNCT
ijassa-1115	7	21	ml	ml	NOUN
ijassa-1115	7	22	)	)	PUNCT
ijassa-1115	7	23	techniques	technique	NOUN
ijassa-1115	7	24	:	:	PUNCT
ijassa-1115	7	25	random	random	ADJ
ijassa-1115	7	26	forest	forest	NOUN
ijassa-1115	7	27	(	(	PUNCT
ijassa-1115	7	28	rf	rf	NOUN
ijassa-1115	7	29	)	)	PUNCT
ijassa-1115	7	30	,	,	PUNCT
ijassa-1115	7	31	support	support	NOUN
ijassa-1115	7	32	vector	vector	NOUN
ijassa-1115	7	33	machine	machine	NOUN
ijassa-1115	7	34	(	(	PUNCT
ijassa-1115	7	35	svm	svm	PROPN
ijassa-1115	7	36	)	)	PUNCT
ijassa-1115	7	37	,	,	PUNCT
ijassa-1115	7	38	and	and	CCONJ
ijassa-1115	7	39	logistic	logistic	ADJ
ijassa-1115	7	40	regression	regression	NOUN
ijassa-1115	7	41	(	(	PUNCT
ijassa-1115	7	42	lr	lr	NOUN
ijassa-1115	7	43	)	)	PUNCT
ijassa-1115	7	44	.	.	PUNCT
ijassa-1115	8	1	we	we	PRON
ijassa-1115	8	2	also	also	ADV
ijassa-1115	8	3	assess	assess	VERB
ijassa-1115	8	4	the	the	DET
ijassa-1115	8	5	classification	classification	NOUN
ijassa-1115	8	6	performances	performance	NOUN
ijassa-1115	8	7	of	of	ADP
ijassa-1115	8	8	these	these	DET
ijassa-1115	8	9	algorithms	algorithm	NOUN
ijassa-1115	8	10	.	.	PUNCT
ijassa-1115	9	1	here	here	ADV
ijassa-1115	9	2	,	,	PUNCT
ijassa-1115	9	3	we	we	PRON
ijassa-1115	9	4	put	put	VERB
ijassa-1115	9	5	out	out	ADP
ijassa-1115	9	6	a	a	DET
ijassa-1115	9	7	hybrid	hybrid	ADJ
ijassa-1115	9	8	model	model	NOUN
ijassa-1115	9	9	and	and	CCONJ
ijassa-1115	9	10	evaluated	evaluate	VERB
ijassa-1115	9	11	it	it	PRON
ijassa-1115	9	12	against	against	ADP
ijassa-1115	9	13	the	the	DET
ijassa-1115	9	14	three	three	NUM
ijassa-1115	9	15	previously	previously	ADV
ijassa-1115	9	16	discussed	discuss	VERB
ijassa-1115	9	17	machine	machine	NOUN
ijassa-1115	9	18	learning	learning	NOUN
ijassa-1115	9	19	techniques	technique	NOUN
ijassa-1115	9	20	.	.	PUNCT
ijassa-1115	10	1	the	the	DET
ijassa-1115	10	2	outcomes	outcome	NOUN
ijassa-1115	10	3	demonstrated	demonstrate	VERB
ijassa-1115	10	4	the	the	DET
ijassa-1115	10	5	97.85	97.85	NUM
ijassa-1115	10	6	%	%	NOUN
ijassa-1115	10	7	prediction	prediction	NOUN
ijassa-1115	10	8	accuracy	accuracy	NOUN
ijassa-1115	10	9	of	of	ADP
ijassa-1115	10	10	our	our	PRON
ijassa-1115	10	11	suggested	suggest	VERB
ijassa-1115	10	12	hybrid	hybrid	ADJ
ijassa-1115	10	13	model	model	NOUN
ijassa-1115	10	14	.	.	PUNCT
ijassa-1115	11	1	aside	aside	ADV
ijassa-1115	11	2	from	from	ADP
ijassa-1115	11	3	our	our	PRON
ijassa-1115	11	4	suggested	suggest	VERB
ijassa-1115	11	5	hybrid	hybrid	ADJ
ijassa-1115	11	6	model	model	NOUN
ijassa-1115	11	7	,	,	PUNCT
ijassa-1115	11	8	the	the	DET
ijassa-1115	11	9	random	random	ADJ
ijassa-1115	11	10	forest	forest	NOUN
ijassa-1115	11	11	machine	machine	NOUN
ijassa-1115	11	12	learning	learning	NOUN
ijassa-1115	11	13	method	method	NOUN
ijassa-1115	11	14	demonstrated	demonstrate	VERB
ijassa-1115	11	15	the	the	DET
ijassa-1115	11	16	highest	high	ADJ
ijassa-1115	11	17	accuracy	accuracy	NOUN
ijassa-1115	11	18	of	of	ADP
ijassa-1115	11	19	94.62	94.62	NUM
ijassa-1115	11	20	%	%	NOUN
ijassa-1115	11	21	among	among	ADP
ijassa-1115	11	22	the	the	DET
ijassa-1115	11	23	three	three	NUM
ijassa-1115	11	24	.	.	PUNCT
ijassa-1115	12	1	nonetheless	nonetheless	ADV
ijassa-1115	12	2	,	,	PUNCT
ijassa-1115	12	3	the	the	DET
ijassa-1115	12	4	prediction	prediction	NOUN
ijassa-1115	12	5	accuracy	accuracy	NOUN
ijassa-1115	12	6	of	of	ADP
ijassa-1115	12	7	the	the	DET
ijassa-1115	12	8	hybrid	hybrid	ADJ
ijassa-1115	12	9	model	model	NOUN
ijassa-1115	12	10	outperforms	outperform	VERB
ijassa-1115	12	11	that	that	PRON
ijassa-1115	12	12	of	of	ADP
ijassa-1115	12	13	the	the	DET
ijassa-1115	12	14	random	random	ADJ
ijassa-1115	12	15	forest	forest	NOUN
ijassa-1115	12	16	and	and	CCONJ
ijassa-1115	12	17	is	be	AUX
ijassa-1115	12	18	significantly	significantly	ADV
ijassa-1115	12	19	better	well	ADJ
ijassa-1115	12	20	than	than	ADP
ijassa-1115	12	21	that	that	PRON
ijassa-1115	12	22	of	of	ADP
ijassa-1115	12	23	the	the	DET
ijassa-1115	12	24	other	other	ADJ
ijassa-1115	12	25	three	three	NUM
ijassa-1115	12	26	ml	ml	NOUN
ijassa-1115	12	27	techniques	technique	NOUN
ijassa-1115	12	28	.	.	PUNCT
ijassa-1115	13	1	the	the	DET
ijassa-1115	13	2	classification	classification	NOUN
ijassa-1115	13	3	performances	performance	NOUN
ijassa-1115	13	4	were	be	AUX
ijassa-1115	13	5	assessed	assess	VERB
ijassa-1115	13	6	using	use	VERB
ijassa-1115	13	7	the	the	DET
ijassa-1115	13	8	f	f	NOUN
ijassa-1115	13	9	-	-	PUNCT
ijassa-1115	13	10	score	score	NOUN
ijassa-1115	13	11	,	,	PUNCT
ijassa-1115	13	12	sensitivity	sensitivity	NOUN
ijassa-1115	13	13	,	,	PUNCT
ijassa-1115	13	14	specificity	specificity	NOUN
ijassa-1115	13	15	,	,	PUNCT
ijassa-1115	13	16	and	and	CCONJ
ijassa-1115	13	17	precision	precision	NOUN
ijassa-1115	13	18	metrics	metric	NOUN
ijassa-1115	13	19	.	.	PUNCT
ijassa-1115	14	1	using	use	VERB
ijassa-1115	14	2	10	10	NUM
ijassa-1115	14	3	-	-	ADJ
ijassa-1115	14	4	fold	fold	ADJ
ijassa-1115	14	5	cross	cross	NOUN
ijassa-1115	14	6	-	-	NOUN
ijassa-1115	14	7	validation	validation	ADJ
ijassa-1115	14	8	,	,	PUNCT
ijassa-1115	14	9	roc	roc	NOUN
ijassa-1115	14	10	assessments	assessment	NOUN
ijassa-1115	14	11	and	and	CCONJ
ijassa-1115	14	12	confusion	confusion	NOUN
ijassa-1115	14	13	matrices	matrix	NOUN
ijassa-1115	14	14	produced	produce	VERB
ijassa-1115	14	15	by	by	ADP
ijassa-1115	14	16	these	these	DET
ijassa-1115	14	17	machine	machine	NOUN
ijassa-1115	14	18	learning	learn	VERB
ijassa-1115	14	19	algorithms	algorithm	NOUN
ijassa-1115	14	20	were	be	AUX
ijassa-1115	14	21	provided	provide	VERB
ijassa-1115	14	22	and	and	CCONJ
ijassa-1115	14	23	examined	examine	VERB
ijassa-1115	14	24	.	.	PUNCT
ijassa-1115	15	1	to	to	PART
ijassa-1115	15	2	assess	assess	VERB
ijassa-1115	15	3	the	the	DET
ijassa-1115	15	4	effectiveness	effectiveness	NOUN
ijassa-1115	15	5	of	of	ADP
ijassa-1115	15	6	the	the	DET
ijassa-1115	15	7	classification	classification	NOUN
ijassa-1115	15	8	.	.	PUNCT
ijassa-1115	16	1	these	these	DET
ijassa-1115	16	2	machine	machine	NOUN
ijassa-1115	16	3	learning	learn	VERB
ijassa-1115	16	4	algorithms	algorithm	NOUN
ijassa-1115	16	5	'	'	PART
ijassa-1115	16	6	roc	roc	NOUN
ijassa-1115	16	7	assessments	assessment	NOUN
ijassa-1115	16	8	and	and	CCONJ
ijassa-1115	16	9	confusion	confusion	NOUN
ijassa-1115	16	10	matrices	matrix	NOUN
ijassa-1115	16	11	are	be	AUX
ijassa-1115	16	12	shown	show	VERB
ijassa-1115	16	13	and	and	CCONJ
ijassa-1115	16	14	examined	examine	VERB
ijassa-1115	16	15	by	by	ADP
ijassa-1115	16	16	10	10	NUM
ijassa-1115	16	17	-	-	ADJ
ijassa-1115	16	18	fold	fold	ADJ
ijassa-1115	16	19	cross	cross	NOUN
ijassa-1115	16	20	-	-	NOUN
ijassa-1115	16	21	validation	validation	NOUN
ijassa-1115	16	22	.	.	PUNCT
ijassa-1115	17	1	keywords	keyword	NOUN
ijassa-1115	17	2	:	:	PUNCT
ijassa-1115	17	3	covid-19	covid-19	PROPN
ijassa-1115	17	4	,	,	PUNCT
ijassa-1115	17	5	machine	machine	NOUN
ijassa-1115	17	6	learning	learning	NOUN
ijassa-1115	17	7	,	,	PUNCT
ijassa-1115	17	8	hybrid	hybrid	ADJ
ijassa-1115	17	9	model	model	NOUN
ijassa-1115	17	10	,	,	PUNCT
ijassa-1115	17	11	random	random	ADJ
ijassa-1115	17	12	forest	forest	NOUN
ijassa-1115	17	13	,	,	PUNCT
ijassa-1115	17	14	roc	roc	PROPN
ijassa-1115	17	15	curve	curve	NOUN
ijassa-1115	17	16	1	1	PROPN
ijassa-1115	17	17	.	.	PUNCT
ijassa-1115	17	18	introduction	introduction	NOUN
ijassa-1115	17	19	the	the	DET
ijassa-1115	17	20	entire	entire	ADJ
ijassa-1115	17	21	world	world	NOUN
ijassa-1115	17	22	is	be	AUX
ijassa-1115	17	23	struggling	struggle	VERB
ijassa-1115	17	24	to	to	PART
ijassa-1115	17	25	adjust	adjust	VERB
ijassa-1115	17	26	to	to	ADP
ijassa-1115	17	27	corona	corona	PROPN
ijassa-1115	17	28	's	's	PART
ijassa-1115	17	29	effects	effect	NOUN
ijassa-1115	17	30	and	and	CCONJ
ijassa-1115	17	31	financial	financial	ADJ
ijassa-1115	17	32	losses	loss	NOUN
ijassa-1115	17	33	.	.	PUNCT
ijassa-1115	18	1	they	they	PRON
ijassa-1115	18	2	were	be	AUX
ijassa-1115	18	3	unable	unable	ADJ
ijassa-1115	18	4	to	to	PART
ijassa-1115	18	5	foresee	foresee	VERB
ijassa-1115	18	6	the	the	DET
ijassa-1115	18	7	disaster	disaster	NOUN
ijassa-1115	18	8	and	and	CCONJ
ijassa-1115	18	9	loss	loss	NOUN
ijassa-1115	18	10	brought	bring	VERB
ijassa-1115	18	11	on	on	ADP
ijassa-1115	18	12	by	by	ADP
ijassa-1115	18	13	covid-19	covid-19	PROPN
ijassa-1115	18	14	.	.	PUNCT
ijassa-1115	19	1	numerous	numerous	ADJ
ijassa-1115	19	2	research	research	NOUN
ijassa-1115	19	3	investigations	investigation	NOUN
ijassa-1115	19	4	have	have	AUX
ijassa-1115	19	5	been	be	AUX
ijassa-1115	19	6	carried	carry	VERB
ijassa-1115	19	7	out	out	ADP
ijassa-1115	19	8	to	to	PART
ijassa-1115	19	9	characterize	characterize	VERB
ijassa-1115	19	10	the	the	DET
ijassa-1115	19	11	various	various	ADJ
ijassa-1115	19	12	models	model	NOUN
ijassa-1115	19	13	,	,	PUNCT
ijassa-1115	19	14	strategies	strategy	NOUN
ijassa-1115	19	15	,	,	PUNCT
ijassa-1115	19	16	innovations	innovation	NOUN
ijassa-1115	19	17	,	,	PUNCT
ijassa-1115	19	18	and	and	CCONJ
ijassa-1115	19	19	levels	level	NOUN
ijassa-1115	19	20	of	of	ADP
ijassa-1115	19	21	awareness	awareness	NOUN
ijassa-1115	19	22	about	about	ADP
ijassa-1115	19	23	the	the	DET
ijassa-1115	19	24	transmission	transmission	NOUN
ijassa-1115	19	25	of	of	ADP
ijassa-1115	19	26	covid-19	covid-19	PROPN
ijassa-1115	19	27	.	.	PUNCT
ijassa-1115	20	1	the	the	DET
ijassa-1115	20	2	categorization	categorization	NOUN
ijassa-1115	20	3	of	of	ADP
ijassa-1115	20	4	verified	verify	VERB
ijassa-1115	20	5	covid-19	covid-19	PROPN
ijassa-1115	20	6	cases	case	NOUN
ijassa-1115	20	7	associated	associate	VERB
ijassa-1115	20	8	with	with	ADP
ijassa-1115	20	9	the	the	DET
ijassa-1115	20	10	epidemic	epidemic	NOUN
ijassa-1115	20	11	diseases	disease	NOUN
ijassa-1115	20	12	identified	identify	VERB
ijassa-1115	20	13	a	a	DET
ijassa-1115	20	14	significant	significant	ADJ
ijassa-1115	20	15	obstacle	obstacle	NOUN
ijassa-1115	20	16	to	to	ADP
ijassa-1115	20	17	sustained	sustained	ADJ
ijassa-1115	20	18	advancement	advancement	NOUN
ijassa-1115	20	19	.	.	PUNCT
ijassa-1115	21	1	the	the	DET
ijassa-1115	21	2	neural	neural	ADJ
ijassa-1115	21	3	network	network	NOUN
ijassa-1115	21	4	's	's	PART
ijassa-1115	21	5	group	group	NOUN
ijassa-1115	21	6	method	method	NOUN
ijassa-1115	21	7	of	of	ADP
ijassa-1115	21	8	knowledge	knowledge	NOUN
ijassa-1115	21	9	handling	handling	NOUN
ijassa-1115	21	10	(	(	PUNCT
ijassa-1115	21	11	gmdh	gmdh	ADJ
ijassa-1115	21	12	)	)	PUNCT
ijassa-1115	21	13	form	form	NOUN
ijassa-1115	21	14	,	,	PUNCT
ijassa-1115	21	15	which	which	PRON
ijassa-1115	21	16	is	be	AUX
ijassa-1115	21	17	linked	link	VERB
ijassa-1115	21	18	to	to	ADP
ijassa-1115	21	19	fake	fake	ADJ
ijassa-1115	21	20	intelligence	intelligence	NOUN
ijassa-1115	21	21	techniques	technique	NOUN
ijassa-1115	21	22	,	,	PUNCT
ijassa-1115	21	23	provided	provide	VERB
ijassa-1115	21	24	an	an	DET
ijassa-1115	21	25	explanation	explanation	NOUN
ijassa-1115	21	26	for	for	ADP
ijassa-1115	21	27	binary	binary	ADJ
ijassa-1115	21	28	classification	classification	NOUN
ijassa-1115	21	29	modeling	modeling	NOUN
ijassa-1115	21	30	[	[	X
ijassa-1115	21	31	1	1	NUM
ijassa-1115	21	32	]	]	PUNCT
ijassa-1115	21	33	.	.	PUNCT
ijassa-1115	22	1	a	a	DET
ijassa-1115	22	2	deep	deep	ADV
ijassa-1115	22	3	-	-	PUNCT
ijassa-1115	22	4	learning	learn	VERB
ijassa-1115	22	5	neural	neural	ADJ
ijassa-1115	22	6	network	network	NOUN
ijassa-1115	22	7	concept	concept	NOUN
ijassa-1115	22	8	is	be	AUX
ijassa-1115	22	9	used	use	VERB
ijassa-1115	22	10	to	to	PART
ijassa-1115	22	11	provide	provide	VERB
ijassa-1115	22	12	a	a	DET
ijassa-1115	22	13	verification	verification	NOUN
ijassa-1115	22	14	method	method	NOUN
ijassa-1115	22	15	.	.	PUNCT
ijassa-1115	23	1	using	use	VERB
ijassa-1115	23	2	the	the	DET
ijassa-1115	23	3	concept	concept	NOUN
ijassa-1115	23	4	of	of	ADP
ijassa-1115	23	5	a	a	DET
ijassa-1115	23	6	deep	deep	ADV
ijassa-1115	23	7	-	-	PUNCT
ijassa-1115	23	8	learning	learn	VERB
ijassa-1115	23	9	neural	neural	ADJ
ijassa-1115	23	10	network	network	NOUN
ijassa-1115	23	11	,	,	PUNCT
ijassa-1115	23	12	this	this	DET
ijassa-1115	23	13	system	system	NOUN
ijassa-1115	23	14	employs	employ	VERB
ijassa-1115	23	15	long	long	ADJ
ijassa-1115	23	16	short	short	ADJ
ijassa-1115	23	17	-	-	PUNCT
ijassa-1115	23	18	term	term	NOUN
ijassa-1115	23	19	memory	memory	NOUN
ijassa-1115	23	20	(	(	PUNCT
ijassa-1115	23	21	lstm	lstm	NOUN
ijassa-1115	23	22	)	)	PUNCT
ijassa-1115	23	23	and	and	CCONJ
ijassa-1115	23	24	a	a	DET
ijassa-1115	23	25	gated	gate	VERB
ijassa-1115	23	26	recurrent	recurrent	ADJ
ijassa-1115	23	27	unit	unit	NOUN
ijassa-1115	23	28	(	(	PUNCT
ijassa-1115	23	29	gru	gru	PROPN
ijassa-1115	23	30	)	)	PUNCT
ijassa-1115	23	31	for	for	ADP
ijassa-1115	23	32	the	the	DET
ijassa-1115	23	33	last	last	ADJ
ijassa-1115	23	34	step	step	NOUN
ijassa-1115	23	35	of	of	ADP
ijassa-1115	23	36	dataset	dataset	NOUN
ijassa-1115	23	37	training	training	NOUN
ijassa-1115	23	38	[	[	X
ijassa-1115	23	39	2	2	NUM
ijassa-1115	23	40	]	]	PUNCT
ijassa-1115	23	41	.	.	PUNCT
ijassa-1115	24	1	the	the	DET
ijassa-1115	24	2	xgboost	xgboost	PROPN
ijassa-1115	24	3	machine	machine	NOUN
ijassa-1115	24	4	learning	learning	NOUN
ijassa-1115	24	5	method	method	NOUN
ijassa-1115	24	6	was	be	AUX
ijassa-1115	24	7	assisted	assist	VERB
ijassa-1115	24	8	by	by	ADP
ijassa-1115	24	9	building	build	VERB
ijassa-1115	24	10	a	a	DET
ijassa-1115	24	11	prognostic	prognostic	ADJ
ijassa-1115	24	12	prediction	prediction	NOUN
ijassa-1115	24	13	model	model	NOUN
ijassa-1115	24	14	and	and	CCONJ
ijassa-1115	24	15	emphasizing	emphasize	VERB
ijassa-1115	24	16	emphasis	emphasis	NOUN
ijassa-1115	24	17	.	.	PUNCT
ijassa-1115	25	1	as	as	ADP
ijassa-1115	25	2	a	a	DET
ijassa-1115	25	3	result	result	NOUN
ijassa-1115	25	4	,	,	PUNCT
ijassa-1115	25	5	29	29	NUM
ijassa-1115	25	6	patients	patient	NOUN
ijassa-1115	25	7	who	who	PRON
ijassa-1115	25	8	were	be	AUX
ijassa-1115	25	9	cleared	clear	VERB
ijassa-1115	25	10	after	after	ADP
ijassa-1115	25	11	february	february	PROPN
ijassa-1115	25	12	19th	19th	PROPN
ijassa-1115	25	13	were	be	AUX
ijassa-1115	25	14	tested	test	VERB
ijassa-1115	25	15	[	[	PUNCT
ijassa-1115	25	16	3	3	NUM
ijassa-1115	25	17	]	]	PUNCT
ijassa-1115	25	18	.	.	PUNCT
ijassa-1115	26	1	ai	ai	VERB
ijassa-1115	26	2	-	-	PUNCT
ijassa-1115	26	3	driven	drive	VERB
ijassa-1115	26	4	techniques	technique	NOUN
ijassa-1115	26	5	assist	assist	VERB
ijassa-1115	26	6	in	in	ADP
ijassa-1115	26	7	classifying	classify	VERB
ijassa-1115	26	8	covid-19	covid-19	PROPN
ijassa-1115	26	9	outbreaks	outbreak	NOUN
ijassa-1115	26	10	in	in	ADP
ijassa-1115	26	11	a	a	DET
ijassa-1115	26	12	way	way	NOUN
ijassa-1115	26	13	that	that	PRON
ijassa-1115	26	14	makes	make	VERB
ijassa-1115	26	15	sense	sense	NOUN
ijassa-1115	26	16	for	for	ADP
ijassa-1115	26	17	their	their	PRON
ijassa-1115	26	18	global	global	ADJ
ijassa-1115	26	19	propagation	propagation	NOUN
ijassa-1115	26	20	.	.	PUNCT
ijassa-1115	27	1	the	the	DET
ijassa-1115	27	2	original	original	ADJ
ijassa-1115	27	3	goal	goal	NOUN
ijassa-1115	27	4	of	of	ADP
ijassa-1115	27	5	the	the	DET
ijassa-1115	27	6	research	research	NOUN
ijassa-1115	27	7	is	be	AUX
ijassa-1115	27	8	to	to	PART
ijassa-1115	27	9	identify	identify	VERB
ijassa-1115	27	10	active	active	ADJ
ijassa-1115	27	11	learning	learning	NOUN
ijassa-1115	27	12	-	-	PUNCT
ijassa-1115	27	13	based	base	VERB
ijassa-1115	27	14	cross	cross	ADJ
ijassa-1115	27	15	-	-	ADJ
ijassa-1115	27	16	population	population	ADJ
ijassa-1115	27	17	train	train	NOUN
ijassa-1115	27	18	/	/	SYM
ijassa-1115	27	19	test	test	NOUN
ijassa-1115	27	20	*	*	PUNCT
ijassa-1115	27	21	corresponding	correspond	VERB
ijassa-1115	27	22	author	author	NOUN
ijassa-1115	27	23	:	:	PUNCT
ijassa-1115	27	24	asadullahstat@gmail.com	asadullahstat@gmail.com	X
ijassa-1115	27	25	word	word	NOUN
ijassa-1115	27	26	template	template	NOUN
ijassa-1115	27	27	for	for	ADP
ijassa-1115	27	28	assa	assa	NOUN
ijassa-1115	27	29	manuscript	manuscript	NOUN
ijassa-1115	27	30	149	149	NUM
ijassa-1115	27	31	copyright	copyright	NOUN
ijassa-1115	27	32	©	©	PROPN
ijassa-1115	27	33	2023	2023	NUM
ijassa-1115	27	34	assa	assa	NOUN
ijassa-1115	27	35	.	.	PUNCT
ijassa-1115	28	1	adv	adv	PROPN
ijassa-1115	28	2	.	.	PUNCT
ijassa-1115	29	1	in	in	ADP
ijassa-1115	29	2	systems	system	NOUN
ijassa-1115	29	3	science	science	NOUN
ijassa-1115	29	4	and	and	CCONJ
ijassa-1115	29	5	appl	appl	NOUN
ijassa-1115	29	6	.	.	PUNCT
ijassa-1115	30	1	(	(	PUNCT
ijassa-1115	30	2	2024	2024	NUM
ijassa-1115	30	3	)	)	PUNCT
ijassa-1115	30	4	models	model	NOUN
ijassa-1115	30	5	that	that	PRON
ijassa-1115	30	6	use	use	VERB
ijassa-1115	30	7	multitudinal	multitudinal	ADJ
ijassa-1115	30	8	and	and	CCONJ
ijassa-1115	30	9	multimodal	multimodal	ADJ
ijassa-1115	30	10	data	datum	NOUN
ijassa-1115	30	11	in	in	ADP
ijassa-1115	30	12	order	order	NOUN
ijassa-1115	30	13	to	to	PART
ijassa-1115	30	14	detect	detect	VERB
ijassa-1115	30	15	covid-19	covid-19	PROPN
ijassa-1115	30	16	,	,	PUNCT
ijassa-1115	30	17	similar	similar	ADJ
ijassa-1115	30	18	to	to	ADP
ijassa-1115	30	19	other	other	ADJ
ijassa-1115	30	20	healthcare	healthcare	NOUN
ijassa-1115	30	21	difficulties	difficulty	NOUN
ijassa-1115	30	22	[	[	X
ijassa-1115	30	23	4	4	NUM
ijassa-1115	30	24	]	]	PUNCT
ijassa-1115	30	25	.	.	PUNCT
ijassa-1115	31	1	washkaro	washkaro	NOUN
ijassa-1115	31	2	combines	combine	VERB
ijassa-1115	31	3	real	real	ADJ
ijassa-1115	31	4	sources	source	NOUN
ijassa-1115	31	5	of	of	ADP
ijassa-1115	31	6	data	datum	NOUN
ijassa-1115	31	7	with	with	ADP
ijassa-1115	31	8	daily	daily	ADJ
ijassa-1115	31	9	news	news	NOUN
ijassa-1115	31	10	and	and	CCONJ
ijassa-1115	31	11	presents	present	VERB
ijassa-1115	31	12	it	it	PRON
ijassa-1115	31	13	in	in	ADP
ijassa-1115	31	14	hindi	hindi	NOUN
ijassa-1115	31	15	using	use	VERB
ijassa-1115	31	16	nlp	nlp	NOUN
ijassa-1115	31	17	techniques	technique	NOUN
ijassa-1115	31	18	,	,	PUNCT
ijassa-1115	31	19	machine	machine	NOUN
ijassa-1115	31	20	learning	learning	NOUN
ijassa-1115	31	21	,	,	PUNCT
ijassa-1115	31	22	and	and	CCONJ
ijassa-1115	31	23	m	m	NOUN
ijassa-1115	31	24	-	-	NOUN
ijassa-1115	31	25	health	health	NOUN
ijassa-1115	31	26	to	to	PART
ijassa-1115	31	27	provide	provide	VERB
ijassa-1115	31	28	an	an	DET
ijassa-1115	31	29	awareness	awareness	NOUN
ijassa-1115	31	30	-	-	PUNCT
ijassa-1115	31	31	raising	raise	VERB
ijassa-1115	31	32	solution	solution	NOUN
ijassa-1115	31	33	.	.	PUNCT
ijassa-1115	32	1	additionally	additionally	ADV
ijassa-1115	32	2	,	,	PUNCT
ijassa-1115	32	3	the	the	DET
ijassa-1115	32	4	appliance	appliance	NOUN
ijassa-1115	32	5	provides	provide	VERB
ijassa-1115	32	6	community	community	NOUN
ijassa-1115	32	7	-	-	PUNCT
ijassa-1115	32	8	focused	focus	VERB
ijassa-1115	32	9	audiovisual	audiovisual	ADJ
ijassa-1115	32	10	content	content	NOUN
ijassa-1115	32	11	in	in	ADP
ijassa-1115	32	12	local	local	ADJ
ijassa-1115	32	13	languages	language	NOUN
ijassa-1115	32	14	that	that	PRON
ijassa-1115	32	15	has	have	AUX
ijassa-1115	32	16	been	be	AUX
ijassa-1115	32	17	hand	hand	NOUN
ijassa-1115	32	18	-	-	PUNCT
ijassa-1115	32	19	picked	pick	VERB
ijassa-1115	32	20	and	and	CCONJ
ijassa-1115	32	21	verified	verify	VERB
ijassa-1115	32	22	by	by	ADP
ijassa-1115	32	23	humans	human	NOUN
ijassa-1115	32	24	[	[	X
ijassa-1115	32	25	5	5	NUM
ijassa-1115	32	26	]	]	PUNCT
ijassa-1115	32	27	.	.	PUNCT
ijassa-1115	33	1	when	when	SCONJ
ijassa-1115	33	2	implementing	implement	VERB
ijassa-1115	33	3	a	a	DET
ijassa-1115	33	4	mobile	mobile	ADJ
ijassa-1115	33	5	phone	phone	NOUN
ijassa-1115	33	6	-	-	PUNCT
ijassa-1115	33	7	based	base	VERB
ijassa-1115	33	8	web	web	NOUN
ijassa-1115	33	9	survey	survey	NOUN
ijassa-1115	33	10	,	,	PUNCT
ijassa-1115	33	11	recommend	recommend	VERB
ijassa-1115	33	12	utilizing	utilize	VERB
ijassa-1115	33	13	machine	machine	NOUN
ijassa-1115	33	14	learning	learn	VERB
ijassa-1115	33	15	techniques	technique	NOUN
ijassa-1115	33	16	to	to	PART
ijassa-1115	33	17	be	be	AUX
ijassa-1115	33	18	prepared	prepare	VERB
ijassa-1115	33	19	to	to	PART
ijassa-1115	33	20	improve	improve	VERB
ijassa-1115	33	21	potential	potential	ADJ
ijassa-1115	33	22	covid-19	covid-19	PROPN
ijassa-1115	33	23	case	case	NOUN
ijassa-1115	33	24	identifications	identification	NOUN
ijassa-1115	33	25	more	more	ADV
ijassa-1115	33	26	quickly	quickly	ADV
ijassa-1115	33	27	.	.	PUNCT
ijassa-1115	34	1	additionally	additionally	ADV
ijassa-1115	34	2	,	,	PUNCT
ijassa-1115	34	3	this	this	PRON
ijassa-1115	34	4	will	will	AUX
ijassa-1115	34	5	lessen	lessen	VERB
ijassa-1115	34	6	the	the	DET
ijassa-1115	34	7	spread	spread	NOUN
ijassa-1115	34	8	among	among	ADP
ijassa-1115	34	9	those	those	PRON
ijassa-1115	34	10	who	who	PRON
ijassa-1115	34	11	are	be	AUX
ijassa-1115	34	12	vulnerable	vulnerable	ADJ
ijassa-1115	34	13	[	[	X
ijassa-1115	34	14	6	6	NUM
ijassa-1115	34	15	]	]	PUNCT
ijassa-1115	34	16	.	.	PUNCT
ijassa-1115	35	1	an	an	DET
ijassa-1115	35	2	early	early	ADJ
ijassa-1115	35	3	screening	screening	NOUN
ijassa-1115	35	4	model	model	NOUN
ijassa-1115	35	5	to	to	PART
ijassa-1115	35	6	distinguish	distinguish	VERB
ijassa-1115	35	7	covid-19	covid-19	PROPN
ijassa-1115	35	8	pneumonia	pneumonia	NOUN
ijassa-1115	35	9	from	from	ADP
ijassa-1115	35	10	influenza	influenza	NOUN
ijassa-1115	35	11	was	be	AUX
ijassa-1115	35	12	created	create	VERB
ijassa-1115	35	13	using	use	VERB
ijassa-1115	35	14	deep	deep	ADJ
ijassa-1115	35	15	learning	learning	NOUN
ijassa-1115	35	16	techniques	technique	NOUN
ijassa-1115	35	17	within	within	ADP
ijassa-1115	35	18	a	a	DET
ijassa-1115	35	19	virus	virus	NOUN
ijassa-1115	35	20	infection	infection	NOUN
ijassa-1115	35	21	and	and	CCONJ
ijassa-1115	35	22	healthy	healthy	ADJ
ijassa-1115	35	23	cases	case	NOUN
ijassa-1115	35	24	with	with	ADP
ijassa-1115	35	25	lung	lung	NOUN
ijassa-1115	35	26	ct	ct	PROPN
ijassa-1115	35	27	pictures	picture	NOUN
ijassa-1115	36	1	[	[	X
ijassa-1115	36	2	7	7	NUM
ijassa-1115	36	3	]	]	PUNCT
ijassa-1115	36	4	.	.	PUNCT
ijassa-1115	37	1	using	use	VERB
ijassa-1115	37	2	chest	chest	NOUN
ijassa-1115	37	3	x	x	NOUN
ijassa-1115	37	4	-	-	NOUN
ijassa-1115	37	5	ray	ray	NOUN
ijassa-1115	37	6	radiographs	radiograph	NOUN
ijassa-1115	37	7	,	,	PUNCT
ijassa-1115	37	8	three	three	NUM
ijassa-1115	37	9	distinct	distinct	ADJ
ijassa-1115	37	10	convolutional	convolutional	ADJ
ijassa-1115	37	11	neural	neural	ADJ
ijassa-1115	37	12	networkbased	networkbase	VERB
ijassa-1115	37	13	models	model	NOUN
ijassa-1115	37	14	are	be	AUX
ijassa-1115	37	15	proposed	propose	VERB
ijassa-1115	37	16	for	for	ADP
ijassa-1115	37	17	the	the	DET
ijassa-1115	37	18	identification	identification	NOUN
ijassa-1115	37	19	of	of	ADP
ijassa-1115	37	20	individuals	individual	NOUN
ijassa-1115	37	21	afflicted	afflict	VERB
ijassa-1115	37	22	with	with	ADP
ijassa-1115	37	23	coronavirus	coronavirus	NOUN
ijassa-1115	37	24	pneumonia	pneumonia	NOUN
ijassa-1115	37	25	.	.	PUNCT
ijassa-1115	38	1	using	use	VERB
ijassa-1115	38	2	5	5	NUM
ijassa-1115	38	3	-	-	ADJ
ijassa-1115	38	4	fold	fold	ADJ
ijassa-1115	38	5	cross	cross	NOUN
ijassa-1115	38	6	-	-	NOUN
ijassa-1115	38	7	validation	validation	ADJ
ijassa-1115	38	8	,	,	PUNCT
ijassa-1115	38	9	roc	roc	NOUN
ijassa-1115	38	10	assessments	assessment	NOUN
ijassa-1115	38	11	and	and	CCONJ
ijassa-1115	38	12	confusion	confusion	NOUN
ijassa-1115	38	13	matrices	matrix	NOUN
ijassa-1115	38	14	using	use	VERB
ijassa-1115	38	15	these	these	DET
ijassa-1115	38	16	explained	explain	VERB
ijassa-1115	38	17	models	model	NOUN
ijassa-1115	38	18	are	be	AUX
ijassa-1115	38	19	provided	provide	VERB
ijassa-1115	38	20	and	and	CCONJ
ijassa-1115	38	21	examined	examine	VERB
ijassa-1115	38	22	[	[	PUNCT
ijassa-1115	38	23	8	8	NUM
ijassa-1115	38	24	]	]	PUNCT
ijassa-1115	38	25	.	.	PUNCT
ijassa-1115	39	1	described	describe	VERB
ijassa-1115	39	2	the	the	DET
ijassa-1115	39	3	machine	machine	NOUN
ijassa-1115	39	4	learningbased	learningbase	VERB
ijassa-1115	39	5	classification	classification	NOUN
ijassa-1115	39	6	of	of	ADP
ijassa-1115	39	7	the	the	DET
ijassa-1115	39	8	extracted	extract	VERB
ijassa-1115	39	9	deep	deep	ADJ
ijassa-1115	39	10	feature	feature	NOUN
ijassa-1115	39	11	on	on	ADP
ijassa-1115	39	12	chest	chest	NOUN
ijassa-1115	39	13	x	x	NOUN
ijassa-1115	39	14	-	-	NOUN
ijassa-1115	39	15	ray	ray	NOUN
ijassa-1115	39	16	images	image	NOUN
ijassa-1115	39	17	using	use	VERB
ijassa-1115	39	18	patients	patient	NOUN
ijassa-1115	39	19	with	with	ADP
ijassa-1115	39	20	covid-19	covid-19	PROPN
ijassa-1115	39	21	and	and	CCONJ
ijassa-1115	39	22	pneumonia	pneumonia	NOUN
ijassa-1115	39	23	using	use	VERB
ijassa-1115	39	24	resnet152	resnet152	PROPN
ijassa-1115	39	25	.	.	PUNCT
ijassa-1115	40	1	it	it	PRON
ijassa-1115	40	2	is	be	AUX
ijassa-1115	40	3	also	also	ADV
ijassa-1115	40	4	possible	possible	ADJ
ijassa-1115	40	5	to	to	PART
ijassa-1115	40	6	anticipate	anticipate	VERB
ijassa-1115	40	7	the	the	DET
ijassa-1115	40	8	spread	spread	NOUN
ijassa-1115	40	9	of	of	ADP
ijassa-1115	40	10	the	the	DET
ijassa-1115	40	11	novel	novel	ADJ
ijassa-1115	40	12	coronavirus	coronavirus	NOUN
ijassa-1115	40	13	(	(	PUNCT
ijassa-1115	40	14	covid-19	covid-19	PROPN
ijassa-1115	40	15	)	)	PUNCT
ijassa-1115	40	16	in	in	ADP
ijassa-1115	40	17	likely	likely	ADJ
ijassa-1115	40	18	patients	patient	NOUN
ijassa-1115	40	19	using	use	VERB
ijassa-1115	40	20	non	non	ADJ
ijassa-1115	40	21	-	-	ADJ
ijassa-1115	40	22	invasive	invasive	ADJ
ijassa-1115	40	23	and	and	CCONJ
ijassa-1115	40	24	early	early	ADJ
ijassa-1115	40	25	forecasting	forecasting	NOUN
ijassa-1115	40	26	of	of	ADP
ijassa-1115	40	27	the	the	DET
ijassa-1115	40	28	virus	virus	NOUN
ijassa-1115	40	29	by	by	ADP
ijassa-1115	40	30	examining	examine	VERB
ijassa-1115	40	31	chest	chest	NOUN
ijassa-1115	40	32	x	x	NOUN
ijassa-1115	40	33	-	-	NOUN
ijassa-1115	40	34	rays	ray	NOUN
ijassa-1115	40	35	[	[	X
ijassa-1115	40	36	9	9	NUM
ijassa-1115	40	37	]	]	PUNCT
ijassa-1115	40	38	.	.	PUNCT
ijassa-1115	41	1	this	this	DET
ijassa-1115	41	2	study	study	NOUN
ijassa-1115	41	3	[	[	X
ijassa-1115	41	4	10	10	NUM
ijassa-1115	41	5	]	]	PUNCT
ijassa-1115	41	6	reveals	reveal	VERB
ijassa-1115	41	7	and	and	CCONJ
ijassa-1115	41	8	uses	use	VERB
ijassa-1115	41	9	machine	machine	NOUN
ijassa-1115	41	10	learning	learning	NOUN
ijassa-1115	41	11	-	-	PUNCT
ijassa-1115	41	12	based	base	VERB
ijassa-1115	41	13	ct	ct	PROPN
ijassa-1115	41	14	radionics	radionic	NOUN
ijassa-1115	41	15	models	model	NOUN
ijassa-1115	41	16	to	to	PART
ijassa-1115	41	17	predict	predict	VERB
ijassa-1115	41	18	hospital	hospital	NOUN
ijassa-1115	41	19	stays	stay	NOUN
ijassa-1115	41	20	for	for	ADP
ijassa-1115	41	21	individuals	individual	NOUN
ijassa-1115	41	22	with	with	ADP
ijassa-1115	41	23	pneumonia	pneumonia	NOUN
ijassa-1115	41	24	associated	associate	VERB
ijassa-1115	41	25	to	to	ADP
ijassa-1115	41	26	sars	sar	NOUN
ijassa-1115	41	27	-	-	PUNCT
ijassa-1115	41	28	cov-2	cov-2	NOUN
ijassa-1115	41	29	illness	illness	NOUN
ijassa-1115	41	30	.	.	PUNCT
ijassa-1115	42	1	uses	use	VERB
ijassa-1115	42	2	the	the	DET
ijassa-1115	42	3	publicly	publicly	ADV
ijassa-1115	42	4	available	available	ADJ
ijassa-1115	42	5	covid-19	covid-19	PROPN
ijassa-1115	42	6	chest	chest	NOUN
ijassa-1115	42	7	x	x	NOUN
ijassa-1115	42	8	-	-	NOUN
ijassa-1115	42	9	ray	ray	NOUN
ijassa-1115	42	10	dataset	dataset	NOUN
ijassa-1115	42	11	to	to	PART
ijassa-1115	42	12	illustrate	illustrate	VERB
ijassa-1115	42	13	how	how	SCONJ
ijassa-1115	42	14	bayesian	bayesian	ADJ
ijassa-1115	42	15	convolutional	convolutional	ADJ
ijassa-1115	42	16	neural	neural	ADJ
ijassa-1115	42	17	networks	network	NOUN
ijassa-1115	42	18	(	(	PUNCT
ijassa-1115	42	19	bcnn	bcnn	PROPN
ijassa-1115	42	20	)	)	PUNCT
ijassa-1115	42	21	can	can	AUX
ijassa-1115	42	22	quantify	quantify	VERB
ijassa-1115	42	23	the	the	DET
ijassa-1115	42	24	uncertainty	uncertainty	NOUN
ijassa-1115	42	25	in	in	ADP
ijassa-1115	42	26	deep	deep	ADJ
ijassa-1115	42	27	learning	learn	VERB
ijassa-1115	42	28	solutions	solution	NOUN
ijassa-1115	42	29	to	to	PART
ijassa-1115	42	30	improve	improve	VERB
ijassa-1115	42	31	the	the	DET
ijassa-1115	42	32	diagnostic	diagnostic	ADJ
ijassa-1115	42	33	performance	performance	NOUN
ijassa-1115	42	34	of	of	ADP
ijassa-1115	42	35	the	the	DET
ijassa-1115	42	36	human	human	ADJ
ijassa-1115	42	37	-	-	PUNCT
ijassa-1115	42	38	machine	machine	NOUN
ijassa-1115	42	39	combination	combination	NOUN
ijassa-1115	42	40	and	and	CCONJ
ijassa-1115	42	41	describe	describe	VERB
ijassa-1115	42	42	the	the	DET
ijassa-1115	42	43	uncertainty	uncertainty	NOUN
ijassa-1115	42	44	in	in	ADP
ijassa-1115	42	45	prediction	prediction	NOUN
ijassa-1115	42	46	is	be	AUX
ijassa-1115	42	47	strongly	strongly	ADV
ijassa-1115	42	48	associated	associate	VERB
ijassa-1115	42	49	with	with	ADP
ijassa-1115	42	50	the	the	DET
ijassa-1115	42	51	accuracy	accuracy	NOUN
ijassa-1115	42	52	of	of	ADP
ijassa-1115	42	53	the	the	DET
ijassa-1115	42	54	prediction	prediction	NOUN
ijassa-1115	42	55	[	[	X
ijassa-1115	42	56	11	11	NUM
ijassa-1115	42	57	]	]	PUNCT
ijassa-1115	42	58	.	.	PUNCT
ijassa-1115	43	1	this	this	DET
ijassa-1115	43	2	research	research	NOUN
ijassa-1115	43	3	assumes	assume	VERB
ijassa-1115	43	4	that	that	SCONJ
ijassa-1115	43	5	artificial	artificial	ADJ
ijassa-1115	43	6	intelligence	intelligence	NOUN
ijassa-1115	43	7	's	's	PART
ijassa-1115	43	8	deep	deep	ADJ
ijassa-1115	43	9	learning	learning	NOUN
ijassa-1115	43	10	methods	method	NOUN
ijassa-1115	43	11	could	could	AUX
ijassa-1115	43	12	afford	afford	VERB
ijassa-1115	43	13	to	to	PART
ijassa-1115	43	14	extract	extract	VERB
ijassa-1115	43	15	covid-19	covid-19	PROPN
ijassa-1115	43	16	's	's	PART
ijassa-1115	43	17	specific	specific	ADJ
ijassa-1115	43	18	graphical	graphical	ADJ
ijassa-1115	43	19	features	feature	NOUN
ijassa-1115	43	20	and	and	CCONJ
ijassa-1115	43	21	supply	supply	VERB
ijassa-1115	43	22	a	a	DET
ijassa-1115	43	23	clinical	clinical	ADJ
ijassa-1115	43	24	diagnosis	diagnosis	NOUN
ijassa-1115	43	25	,	,	PUNCT
ijassa-1115	43	26	thus	thus	ADV
ijassa-1115	43	27	saving	save	VERB
ijassa-1115	43	28	critical	critical	ADJ
ijassa-1115	43	29	time	time	NOUN
ijassa-1115	43	30	for	for	ADP
ijassa-1115	43	31	disease	disease	NOUN
ijassa-1115	43	32	decline	decline	NOUN
ijassa-1115	43	33	,	,	PUNCT
ijassa-1115	43	34	to	to	PART
ijassa-1115	43	35	do	do	VERB
ijassa-1115	43	36	the	the	DET
ijassa-1115	43	37	pathogenic	pathogenic	ADJ
ijassa-1115	43	38	test	test	NOUN
ijassa-1115	43	39	,	,	PUNCT
ijassa-1115	43	40	through	through	ADP
ijassa-1115	43	41	the	the	DET
ijassa-1115	43	42	support	support	NOUN
ijassa-1115	43	43	of	of	ADP
ijassa-1115	43	44	covid-19	covid-19	PROPN
ijassa-1115	43	45	radiographical	radiographical	ADJ
ijassa-1115	43	46	changes	change	NOUN
ijassa-1115	43	47	in	in	ADP
ijassa-1115	43	48	ct	ct	NUM
ijassa-1115	43	49	images	image	NOUN
ijassa-1115	43	50	[	[	X
ijassa-1115	43	51	12	12	NUM
ijassa-1115	43	52	]	]	PUNCT
ijassa-1115	43	53	.	.	PUNCT
ijassa-1115	44	1	utilizing	utilize	VERB
ijassa-1115	44	2	the	the	DET
ijassa-1115	44	3	recently	recently	ADV
ijassa-1115	44	4	developed	develop	VERB
ijassa-1115	44	5	vaxign	vaxign	NOUN
ijassa-1115	44	6	-	-	PUNCT
ijassa-1115	44	7	ml	ml	NOUN
ijassa-1115	44	8	machine	machine	NOUN
ijassa-1115	44	9	learning	learning	NOUN
ijassa-1115	44	10	technique	technique	NOUN
ijassa-1115	44	11	in	in	ADP
ijassa-1115	44	12	conjunction	conjunction	NOUN
ijassa-1115	44	13	with	with	ADP
ijassa-1115	44	14	vaxign	vaxign	PROPN
ijassa-1115	44	15	reverse	reverse	ADJ
ijassa-1115	44	16	vaccinology	vaccinology	NOUN
ijassa-1115	44	17	,	,	PUNCT
ijassa-1115	44	18	covid-19	covid-19	PROPN
ijassa-1115	44	19	vaccine	vaccine	NOUN
ijassa-1115	44	20	candidates	candidate	NOUN
ijassa-1115	44	21	are	be	AUX
ijassa-1115	44	22	predicted	predict	VERB
ijassa-1115	44	23	.	.	PUNCT
ijassa-1115	45	1	six	six	NUM
ijassa-1115	45	2	proteins	protein	NOUN
ijassa-1115	45	3	,	,	PUNCT
ijassa-1115	45	4	including	include	VERB
ijassa-1115	45	5	the	the	DET
ijassa-1115	45	6	five	five	NUM
ijassa-1115	45	7	non	non	ADJ
ijassa-1115	45	8	-	-	ADJ
ijassa-1115	45	9	structural	structural	ADJ
ijassa-1115	45	10	proteins	protein	NOUN
ijassa-1115	45	11	(	(	PUNCT
ijassa-1115	45	12	nsp3	nsp3	PROPN
ijassa-1115	45	13	,	,	PUNCT
ijassa-1115	45	14	3cl	3cl	NOUN
ijassa-1115	45	15	-	-	PUNCT
ijassa-1115	45	16	pro	pro	ADJ
ijassa-1115	45	17	,	,	PUNCT
ijassa-1115	45	18	and	and	CCONJ
ijassa-1115	45	19	nsp8	nsp8	PROPN
ijassa-1115	45	20	-	-	PUNCT
ijassa-1115	45	21	10	10	NUM
ijassa-1115	45	22	)	)	PUNCT
ijassa-1115	45	23	and	and	CCONJ
ijassa-1115	45	24	s	s	VERB
ijassa-1115	45	25	protein	protein	NOUN
ijassa-1115	45	26	,	,	PUNCT
ijassa-1115	45	27	were	be	AUX
ijassa-1115	45	28	predicted	predict	VERB
ijassa-1115	45	29	to	to	PART
ijassa-1115	45	30	be	be	AUX
ijassa-1115	45	31	adhesins	adhesin	NOUN
ijassa-1115	45	32	after	after	ADP
ijassa-1115	45	33	experiments	experiment	NOUN
ijassa-1115	45	34	with	with	ADP
ijassa-1115	45	35	the	the	DET
ijassa-1115	45	36	entire	entire	ADJ
ijassa-1115	45	37	proteome	proteome	NOUN
ijassa-1115	45	38	of	of	ADP
ijassa-1115	45	39	sarscov-2	sarscov-2	NUM
ijassa-1115	46	1	[	[	X
ijassa-1115	46	2	13	13	NUM
ijassa-1115	46	3	]	]	PUNCT
ijassa-1115	46	4	.	.	PUNCT
ijassa-1115	47	1	the	the	DET
ijassa-1115	47	2	previous	previous	ADJ
ijassa-1115	47	3	study	study	NOUN
ijassa-1115	47	4	suggested	suggest	VERB
ijassa-1115	47	5	three	three	NUM
ijassa-1115	47	6	well	well	ADV
ijassa-1115	47	7	-	-	PUNCT
ijassa-1115	47	8	known	know	VERB
ijassa-1115	47	9	techniques	technique	NOUN
ijassa-1115	47	10	:	:	PUNCT
ijassa-1115	47	11	enhancing	enhance	VERB
ijassa-1115	47	12	the	the	DET
ijassa-1115	47	13	currently	currently	ADV
ijassa-1115	47	14	limited	limited	ADJ
ijassa-1115	47	15	data	datum	NOUN
ijassa-1115	47	16	,	,	PUNCT
ijassa-1115	47	17	using	use	VERB
ijassa-1115	47	18	a	a	DET
ijassa-1115	47	19	panel	panel	NOUN
ijassa-1115	47	20	selection	selection	NOUN
ijassa-1115	47	21	method	method	NOUN
ijassa-1115	47	22	to	to	PART
ijassa-1115	47	23	select	select	VERB
ijassa-1115	47	24	the	the	DET
ijassa-1115	47	25	most	most	ADV
ijassa-1115	47	26	straightforward	straightforward	ADJ
ijassa-1115	47	27	forecasting	forecasting	NOUN
ijassa-1115	47	28	model	model	NOUN
ijassa-1115	47	29	among	among	ADP
ijassa-1115	47	30	multiple	multiple	ADJ
ijassa-1115	47	31	models	model	NOUN
ijassa-1115	47	32	,	,	PUNCT
ijassa-1115	47	33	and	and	CCONJ
ijassa-1115	47	34	optimizing	optimize	VERB
ijassa-1115	47	35	a	a	DET
ijassa-1115	47	36	personal	personal	ADJ
ijassa-1115	47	37	prediction	prediction	NOUN
ijassa-1115	47	38	model	model	NOUN
ijassa-1115	47	39	's	's	PART
ijassa-1115	47	40	parameters	parameter	NOUN
ijassa-1115	47	41	for	for	ADP
ijassa-1115	47	42	optimal	optimal	ADJ
ijassa-1115	47	43	accuracy	accuracy	NOUN
ijassa-1115	47	44	.	.	PUNCT
ijassa-1115	48	1	however	however	ADV
ijassa-1115	48	2	,	,	PUNCT
ijassa-1115	48	3	this	this	DET
ijassa-1115	48	4	study	study	NOUN
ijassa-1115	48	5	uses	use	VERB
ijassa-1115	48	6	a	a	DET
ijassa-1115	48	7	method	method	NOUN
ijassa-1115	48	8	that	that	PRON
ijassa-1115	48	9	supports	support	VERB
ijassa-1115	48	10	the	the	DET
ijassa-1115	48	11	three	three	NUM
ijassa-1115	48	12	benefits	benefit	NOUN
ijassa-1115	48	13	of	of	ADP
ijassa-1115	48	14	knowledge	knowledge	NOUN
ijassa-1115	48	15	mining	mining	NOUN
ijassa-1115	48	16	from	from	ADP
ijassa-1115	48	17	a	a	DET
ijassa-1115	48	18	small	small	ADJ
ijassa-1115	48	19	,	,	PUNCT
ijassa-1115	48	20	poor	poor	ADJ
ijassa-1115	48	21	dataset	dataset	NOUN
ijassa-1115	48	22	[	[	X
ijassa-1115	48	23	14	14	NUM
ijassa-1115	48	24	]	]	PUNCT
ijassa-1115	48	25	.	.	PUNCT
ijassa-1115	49	1	to	to	PART
ijassa-1115	49	2	ascertain	ascertain	VERB
ijassa-1115	49	3	the	the	DET
ijassa-1115	49	4	scope	scope	NOUN
ijassa-1115	49	5	,	,	PUNCT
ijassa-1115	49	6	duration	duration	NOUN
ijassa-1115	49	7	,	,	PUNCT
ijassa-1115	49	8	and	and	CCONJ
ijassa-1115	49	9	end	end	VERB
ijassa-1115	49	10	date	date	NOUN
ijassa-1115	49	11	of	of	ADP
ijassa-1115	49	12	covid-19	covid-19	PROPN
ijassa-1115	49	13	in	in	ADP
ijassa-1115	49	14	china	china	PROPN
ijassa-1115	49	15	rather	rather	ADV
ijassa-1115	49	16	than	than	ADP
ijassa-1115	49	17	using	use	VERB
ijassa-1115	49	18	epidemiological	epidemiological	ADJ
ijassa-1115	49	19	models	model	NOUN
ijassa-1115	49	20	to	to	PART
ijassa-1115	49	21	analyze	analyze	VERB
ijassa-1115	49	22	the	the	DET
ijassa-1115	49	23	dynamics	dynamic	NOUN
ijassa-1115	49	24	of	of	ADP
ijassa-1115	49	25	covid-19	covid-19	PROPN
ijassa-1115	49	26	transmission	transmission	NOUN
ijassa-1115	49	27	in	in	ADP
ijassa-1115	49	28	china	china	PROPN
ijassa-1115	49	29	.	.	PUNCT
ijassa-1115	50	1	this	this	DET
ijassa-1115	50	2	work	work	NOUN
ijassa-1115	50	3	suggests	suggest	VERB
ijassa-1115	50	4	real	real	ADJ
ijassa-1115	50	5	-	-	PUNCT
ijassa-1115	50	6	time	time	NOUN
ijassa-1115	50	7	covid-19	covid-19	PROPN
ijassa-1115	50	8	forecasting	forecasting	NOUN
ijassa-1115	50	9	techniques	technique	NOUN
ijassa-1115	50	10	influenced	influence	VERB
ijassa-1115	50	11	by	by	ADP
ijassa-1115	50	12	fake	fake	ADJ
ijassa-1115	50	13	intelligence	intelligence	NOUN
ijassa-1115	50	14	(	(	PUNCT
ijassa-1115	50	15	ai	ai	NOUN
ijassa-1115	50	16	)	)	PUNCT
ijassa-1115	51	1	[	[	X
ijassa-1115	51	2	15	15	NUM
ijassa-1115	51	3	]	]	PUNCT
ijassa-1115	51	4	.	.	PUNCT
ijassa-1115	52	1	try	try	VERB
ijassa-1115	52	2	testing	test	VERB
ijassa-1115	52	3	the	the	DET
ijassa-1115	52	4	model	model	NOUN
ijassa-1115	52	5	's	's	PART
ijassa-1115	52	6	forecasting	forecasting	NOUN
ijassa-1115	52	7	power	power	NOUN
ijassa-1115	52	8	in	in	ADP
ijassa-1115	52	9	this	this	DET
ijassa-1115	52	10	article	article	NOUN
ijassa-1115	52	11	by	by	ADP
ijassa-1115	52	12	training	train	VERB
ijassa-1115	52	13	it	it	PRON
ijassa-1115	52	14	on	on	ADP
ijassa-1115	52	15	data	datum	NOUN
ijassa-1115	52	16	from	from	ADP
ijassa-1115	52	17	the	the	DET
ijassa-1115	52	18	24th	24th	NOUN
ijassa-1115	52	19	of	of	ADP
ijassa-1115	52	20	january	january	PROPN
ijassa-1115	52	21	to	to	ADP
ijassa-1115	52	22	the	the	DET
ijassa-1115	52	23	3rd	3rd	NOUN
ijassa-1115	52	24	of	of	ADP
ijassa-1115	52	25	march	march	PROPN
ijassa-1115	52	26	window	window	NOUN
ijassa-1115	52	27	,	,	PUNCT
ijassa-1115	52	28	matching	match	VERB
ijassa-1115	52	29	the	the	DET
ijassa-1115	52	30	forecasts	forecast	NOUN
ijassa-1115	52	31	up	up	ADP
ijassa-1115	52	32	to	to	ADP
ijassa-1115	52	33	the	the	DET
ijassa-1115	52	34	1st	1st	NOUN
ijassa-1115	52	35	of	of	ADP
ijassa-1115	52	36	april	april	PROPN
ijassa-1115	52	37	.	.	PUNCT
ijassa-1115	53	1	a	a	DET
ijassa-1115	53	2	one	one	NUM
ijassa-1115	53	3	-	-	PUNCT
ijassa-1115	53	4	week	week	NOUN
ijassa-1115	53	5	buffer	buffer	NOUN
ijassa-1115	53	6	window	window	NOUN
ijassa-1115	53	7	(	(	PUNCT
ijassa-1115	53	8	march	march	PROPN
ijassa-1115	53	9	25	25	NUM
ijassa-1115	53	10	–	–	PUNCT
ijassa-1115	53	11	april	april	PROPN
ijassa-1115	53	12	1	1	NUM
ijassa-1115	53	13	)	)	PUNCT
ijassa-1115	53	14	was	be	AUX
ijassa-1115	53	15	provided	provide	VERB
ijassa-1115	53	16	even	even	ADV
ijassa-1115	53	17	for	for	ADP
ijassa-1115	53	18	italy	italy	PROPN
ijassa-1115	53	19	and	and	CCONJ
ijassa-1115	53	20	the	the	DET
ijassa-1115	53	21	republic	republic	NOUN
ijassa-1115	53	22	of	of	ADP
ijassa-1115	53	23	korea	korea	PROPN
ijassa-1115	53	24	to	to	PART
ijassa-1115	53	25	validate	validate	VERB
ijassa-1115	53	26	the	the	DET
ijassa-1115	53	27	model	model	NOUN
ijassa-1115	53	28	's	's	PART
ijassa-1115	53	29	forecast	forecast	NOUN
ijassa-1115	53	30	.	.	PUNCT
ijassa-1115	54	1	in	in	ADP
ijassa-1115	54	2	the	the	DET
ijassa-1115	54	3	instance	instance	NOUN
ijassa-1115	54	4	of	of	ADP
ijassa-1115	54	5	the	the	DET
ijassa-1115	54	6	us	us	PROPN
ijassa-1115	54	7	,	,	PUNCT
ijassa-1115	54	8	the	the	DET
ijassa-1115	54	9	model	model	NOUN
ijassa-1115	54	10	accurately	accurately	ADV
ijassa-1115	54	11	depicts	depict	VERB
ijassa-1115	54	12	the	the	DET
ijassa-1115	54	13	progression	progression	NOUN
ijassa-1115	54	14	of	of	ADP
ijassa-1115	54	15	the	the	DET
ijassa-1115	54	16	infected	infected	ADJ
ijassa-1115	54	17	curve	curve	NOUN
ijassa-1115	54	18	and	and	CCONJ
ijassa-1115	54	19	projects	project	NOUN
ijassa-1115	54	20	that	that	PRON
ijassa-1115	54	21	the	the	DET
ijassa-1115	54	22	infection	infection	NOUN
ijassa-1115	54	23	will	will	AUX
ijassa-1115	54	24	stop	stop	VERB
ijassa-1115	54	25	by	by	ADP
ijassa-1115	54	26	april	april	PROPN
ijassa-1115	54	27	20	20	NUM
ijassa-1115	54	28	,	,	PUNCT
ijassa-1115	54	29	2020	2020	NUM
ijassa-1115	55	1	[	[	X
ijassa-1115	55	2	16	16	NUM
ijassa-1115	55	3	]	]	PUNCT
ijassa-1115	55	4	.	.	PUNCT
ijassa-1115	56	1	a	a	DET
ijassa-1115	56	2	case	case	NOUN
ijassa-1115	56	3	study	study	NOUN
ijassa-1115	56	4	utilizing	utilize	VERB
ijassa-1115	56	5	fuzzy	fuzzy	ADJ
ijassa-1115	56	6	rule	rule	NOUN
ijassa-1115	56	7	induction	induction	NOUN
ijassa-1115	56	8	and	and	CCONJ
ijassa-1115	56	9	cmc	cmc	NOUN
ijassa-1115	56	10	—	—	PUNCT
ijassa-1115	56	11	which	which	PRON
ijassa-1115	56	12	is	be	AUX
ijassa-1115	56	13	improved	improve	VERB
ijassa-1115	56	14	by	by	ADP
ijassa-1115	56	15	deep	deep	ADJ
ijassa-1115	56	16	learning	learning	NOUN
ijassa-1115	56	17	networks	network	NOUN
ijassa-1115	56	18	—	—	PUNCT
ijassa-1115	56	19	is	be	AUX
ijassa-1115	56	20	examined	examine	VERB
ijassa-1115	56	21	in	in	ADP
ijassa-1115	56	22	order	order	NOUN
ijassa-1115	56	23	to	to	PART
ijassa-1115	56	24	gain	gain	VERB
ijassa-1115	56	25	more	more	ADV
ijassa-1115	56	26	accurate	accurate	ADJ
ijassa-1115	56	27	stochastic	stochastic	ADJ
ijassa-1115	56	28	insights	insight	NOUN
ijassa-1115	56	29	on	on	ADP
ijassa-1115	56	30	the	the	DET
ijassa-1115	56	31	evolution	evolution	NOUN
ijassa-1115	56	32	of	of	ADP
ijassa-1115	56	33	the	the	DET
ijassa-1115	56	34	pandemic	pandemic	ADJ
ijassa-1115	56	35	.	.	PUNCT
ijassa-1115	57	1	fuzzy	fuzzy	ADJ
ijassa-1115	57	2	rule	rule	NOUN
ijassa-1115	57	3	induction	induction	NOUN
ijassa-1115	57	4	approaches	approach	NOUN
ijassa-1115	57	5	are	be	AUX
ijassa-1115	57	6	used	use	VERB
ijassa-1115	57	7	in	in	ADP
ijassa-1115	57	8	conjunction	conjunction	NOUN
ijassa-1115	57	9	with	with	ADP
ijassa-1115	57	10	a	a	DET
ijassa-1115	57	11	deep	deep	ADJ
ijassa-1115	57	12	learning	learning	NOUN
ijassa-1115	57	13	-	-	PUNCT
ijassa-1115	57	14	based	base	VERB
ijassa-1115	57	15	cmc	cmc	NOUN
ijassa-1115	57	16	,	,	PUNCT
ijassa-1115	57	17	as	as	SCONJ
ijassa-1115	57	18	opposed	oppose	VERB
ijassa-1115	57	19	to	to	ADP
ijassa-1115	57	20	relying	rely	VERB
ijassa-1115	57	21	solely	solely	ADV
ijassa-1115	57	22	on	on	ADP
ijassa-1115	57	23	uniform	uniform	ADJ
ijassa-1115	57	24	and	and	CCONJ
ijassa-1115	57	25	uncomplicated	uncomplicated	ADJ
ijassa-1115	57	26	assumptions	assumption	NOUN
ijassa-1115	57	27	for	for	ADP
ijassa-1115	57	28	an	an	DET
ijassa-1115	57	29	mc	mc	NOUN
ijassa-1115	58	1	[	[	X
ijassa-1115	58	2	17	17	NUM
ijassa-1115	58	3	]	]	PUNCT
ijassa-1115	58	4	.	.	PUNCT
ijassa-1115	59	1	throughout	throughout	ADP
ijassa-1115	59	2	this	this	DET
ijassa-1115	59	3	work	work	NOUN
ijassa-1115	59	4	,	,	PUNCT
ijassa-1115	59	5	a	a	DET
ijassa-1115	59	6	novel	novel	ADJ
ijassa-1115	59	7	bio	bio	ADJ
ijassa-1115	59	8	-	-	PUNCT
ijassa-1115	59	9	inspired	inspire	VERB
ijassa-1115	59	10	metaheuristic	metaheuristic	ADJ
ijassa-1115	59	11	simulates	simulate	NOUN
ijassa-1115	59	12	the	the	DET
ijassa-1115	59	13	transmission	transmission	NOUN
ijassa-1115	59	14	and	and	CCONJ
ijassa-1115	59	15	infection	infection	NOUN
ijassa-1115	59	16	of	of	ADP
ijassa-1115	59	17	healthy	healthy	ADJ
ijassa-1115	59	18	individuals	individual	NOUN
ijassa-1115	59	19	by	by	ADP
ijassa-1115	59	20	the	the	DET
ijassa-1115	59	21	coronavirus	coronavirus	NOUN
ijassa-1115	59	22	.	.	PUNCT
ijassa-1115	60	1	to	to	PART
ijassa-1115	60	2	replicate	replicate	VERB
ijassa-1115	60	3	coronavirus	coronavirus	NOUN
ijassa-1115	60	4	behavior	behavior	NOUN
ijassa-1115	60	5	as	as	ADV
ijassa-1115	60	6	closely	closely	ADV
ijassa-1115	60	7	as	as	ADP
ijassa-1115	60	8	feasible	feasible	ADJ
ijassa-1115	60	9	,	,	PUNCT
ijassa-1115	60	10	relevant	relevant	ADJ
ijassa-1115	60	11	parameters	parameter	NOUN
ijassa-1115	60	12	such	such	ADJ
ijassa-1115	60	13	as	as	ADP
ijassa-1115	60	14	superspreading	superspreade	VERB
ijassa-1115	60	15	rate	rate	NOUN
ijassa-1115	60	16	,	,	PUNCT
ijassa-1115	60	17	traveling	travel	VERB
ijassa-1115	60	18	rate	rate	NOUN
ijassa-1115	60	19	,	,	PUNCT
ijassa-1115	60	20	and	and	CCONJ
ijassa-1115	60	21	re	re	NOUN
ijassa-1115	60	22	-	-	NOUN
ijassa-1115	60	23	infection	infection	NOUN
ijassa-1115	60	24	probability	probability	NOUN
ijassa-1115	60	25	are	be	AUX
ijassa-1115	60	26	added	add	VERB
ijassa-1115	60	27	to	to	ADP
ijassa-1115	60	28	the	the	DET
ijassa-1115	60	29	model	model	NOUN
ijassa-1115	60	30	[	[	X
ijassa-1115	60	31	18	18	NUM
ijassa-1115	60	32	]	]	PUNCT
ijassa-1115	60	33	.	.	PUNCT
ijassa-1115	61	1	150	150	NUM
ijassa-1115	61	2	i.	i.	PROPN
ijassa-1115	61	3	petrov	petrov	PROPN
ijassa-1115	61	4	,	,	PUNCT
ijassa-1115	61	5	j.f	j.f	PROPN
ijassa-1115	61	6	.	.	PROPN
ijassa-1115	61	7	doe	doe	NOUN
ijassa-1115	61	8	copyright	copyright	NOUN
ijassa-1115	61	9	©	©	PROPN
ijassa-1115	61	10	2023	2023	NUM
ijassa-1115	61	11	assa	assa	PROPN
ijassa-1115	61	12	adv	adv	PROPN
ijassa-1115	61	13	.	.	PUNCT
ijassa-1115	62	1	in	in	ADP
ijassa-1115	62	2	systems	system	NOUN
ijassa-1115	62	3	science	science	NOUN
ijassa-1115	62	4	and	and	CCONJ
ijassa-1115	62	5	appl	appl	NOUN
ijassa-1115	62	6	.	.	PUNCT
ijassa-1115	63	1	(	(	PUNCT
ijassa-1115	63	2	2023	2023	NUM
ijassa-1115	63	3	)	)	PUNCT
ijassa-1115	63	4	incorporating	incorporate	VERB
ijassa-1115	63	5	city	city	NOUN
ijassa-1115	63	6	-	-	PUNCT
ijassa-1115	63	7	to	to	ADP
ijassa-1115	63	8	-	-	PUNCT
ijassa-1115	63	9	city	city	NOUN
ijassa-1115	63	10	links	link	NOUN
ijassa-1115	63	11	,	,	PUNCT
ijassa-1115	63	12	a	a	DET
ijassa-1115	63	13	mathematical	mathematical	ADJ
ijassa-1115	63	14	framework	framework	NOUN
ijassa-1115	63	15	is	be	AUX
ijassa-1115	63	16	constructed	construct	VERB
ijassa-1115	63	17	to	to	PART
ijassa-1115	63	18	determine	determine	VERB
ijassa-1115	63	19	the	the	DET
ijassa-1115	63	20	total	total	ADJ
ijassa-1115	63	21	number	number	NOUN
ijassa-1115	63	22	of	of	ADP
ijassa-1115	63	23	secondary	secondary	ADJ
ijassa-1115	63	24	cases	case	NOUN
ijassa-1115	63	25	caused	cause	VERB
ijassa-1115	63	26	by	by	ADP
ijassa-1115	63	27	the	the	DET
ijassa-1115	63	28	imported	import	VERB
ijassa-1115	63	29	cases	case	NOUN
ijassa-1115	63	30	,	,	PUNCT
ijassa-1115	63	31	as	as	ADV
ijassa-1115	63	32	well	well	ADV
ijassa-1115	63	33	as	as	ADP
ijassa-1115	63	34	the	the	DET
ijassa-1115	63	35	number	number	NOUN
ijassa-1115	63	36	of	of	ADP
ijassa-1115	63	37	imported	import	VERB
ijassa-1115	63	38	cases	case	NOUN
ijassa-1115	63	39	of	of	ADP
ijassa-1115	63	40	the	the	DET
ijassa-1115	63	41	novel	novel	ADJ
ijassa-1115	63	42	virus	virus	NOUN
ijassa-1115	63	43	from	from	ADP
ijassa-1115	63	44	epidemic	epidemic	ADJ
ijassa-1115	63	45	resources	resource	NOUN
ijassa-1115	63	46	.	.	PUNCT
ijassa-1115	64	1	additionally	additionally	ADV
ijassa-1115	64	2	,	,	PUNCT
ijassa-1115	64	3	to	to	PART
ijassa-1115	64	4	replicate	replicate	VERB
ijassa-1115	64	5	outbreaks	outbreak	NOUN
ijassa-1115	64	6	in	in	ADP
ijassa-1115	64	7	several	several	ADJ
ijassa-1115	64	8	cities	city	NOUN
ijassa-1115	64	9	,	,	PUNCT
ijassa-1115	64	10	a	a	DET
ijassa-1115	64	11	meta	meta	ADJ
ijassa-1115	64	12	-	-	PUNCT
ijassa-1115	64	13	population	population	NOUN
ijassa-1115	64	14	compartmental	compartmental	NOUN
ijassa-1115	64	15	model	model	NOUN
ijassa-1115	64	16	was	be	AUX
ijassa-1115	64	17	constructed	construct	VERB
ijassa-1115	64	18	and	and	CCONJ
ijassa-1115	64	19	backed	back	VERB
ijassa-1115	64	20	by	by	ADP
ijassa-1115	64	21	a	a	DET
ijassa-1115	64	22	classical	classical	ADJ
ijassa-1115	64	23	sir	sir	NOUN
ijassa-1115	64	24	technique	technique	NOUN
ijassa-1115	64	25	[	[	X
ijassa-1115	64	26	19	19	NUM
ijassa-1115	64	27	]	]	PUNCT
ijassa-1115	64	28	.	.	PUNCT
ijassa-1115	65	1	this	this	DET
ijassa-1115	65	2	study	study	NOUN
ijassa-1115	65	3	compares	compare	VERB
ijassa-1115	65	4	the	the	DET
ijassa-1115	65	5	prediction	prediction	NOUN
ijassa-1115	65	6	outcomes	outcome	NOUN
ijassa-1115	65	7	of	of	ADP
ijassa-1115	65	8	three	three	NUM
ijassa-1115	65	9	distinct	distinct	ADJ
ijassa-1115	65	10	mathematical	mathematical	ADJ
ijassa-1115	65	11	models	model	NOUN
ijassa-1115	65	12	based	base	VERB
ijassa-1115	65	13	on	on	ADP
ijassa-1115	65	14	many	many	ADJ
ijassa-1115	65	15	parameters	parameter	NOUN
ijassa-1115	65	16	and	and	CCONJ
ijassa-1115	65	17	multiple	multiple	ADJ
ijassa-1115	65	18	locations	location	NOUN
ijassa-1115	65	19	.	.	PUNCT
ijassa-1115	66	1	while	while	SCONJ
ijassa-1115	66	2	the	the	DET
ijassa-1115	66	3	gompertz	gompertz	NOUN
ijassa-1115	66	4	model	model	NOUN
ijassa-1115	66	5	's	's	PART
ijassa-1115	66	6	fitting	fitting	ADJ
ijassa-1115	66	7	effect	effect	NOUN
ijassa-1115	66	8	is	be	AUX
ijassa-1115	66	9	also	also	ADV
ijassa-1115	66	10	superior	superior	ADJ
ijassa-1115	66	11	to	to	ADP
ijassa-1115	66	12	the	the	DET
ijassa-1115	66	13	bertalanffy	bertalanffy	PROPN
ijassa-1115	66	14	model	model	PROPN
ijassa-1115	66	15	's	's	PART
ijassa-1115	66	16	,	,	PUNCT
ijassa-1115	66	17	the	the	DET
ijassa-1115	66	18	logistic	logistic	ADJ
ijassa-1115	66	19	model	model	NOUN
ijassa-1115	66	20	's	's	PART
ijassa-1115	66	21	fitting	fitting	ADJ
ijassa-1115	66	22	effect	effect	NOUN
ijassa-1115	66	23	is	be	AUX
ijassa-1115	66	24	also	also	ADV
ijassa-1115	66	25	the	the	DET
ijassa-1115	66	26	best	good	ADJ
ijassa-1115	66	27	[	[	X
ijassa-1115	66	28	20	20	NUM
ijassa-1115	66	29	]	]	PUNCT
ijassa-1115	66	30	.	.	PUNCT
ijassa-1115	67	1	three	three	NUM
ijassa-1115	67	2	biomarkers	biomarker	NOUN
ijassa-1115	67	3	were	be	AUX
ijassa-1115	67	4	chosen	choose	VERB
ijassa-1115	67	5	by	by	ADP
ijassa-1115	67	6	machine	machine	NOUN
ijassa-1115	67	7	learning	learning	NOUN
ijassa-1115	67	8	methods	method	NOUN
ijassa-1115	67	9	in	in	ADP
ijassa-1115	67	10	order	order	NOUN
ijassa-1115	67	11	to	to	PART
ijassa-1115	67	12	show	show	VERB
ijassa-1115	67	13	the	the	DET
ijassa-1115	67	14	survival	survival	NOUN
ijassa-1115	67	15	of	of	ADP
ijassa-1115	67	16	specific	specific	ADJ
ijassa-1115	67	17	patients	patient	NOUN
ijassa-1115	67	18	by	by	ADP
ijassa-1115	67	19	identifying	identify	VERB
ijassa-1115	67	20	susceptible	susceptible	ADJ
ijassa-1115	67	21	predictive	predictive	ADJ
ijassa-1115	67	22	biomarkers	biomarker	NOUN
ijassa-1115	67	23	of	of	ADP
ijassa-1115	67	24	the	the	DET
ijassa-1115	67	25	severity	severity	NOUN
ijassa-1115	67	26	of	of	ADP
ijassa-1115	67	27	the	the	DET
ijassa-1115	67	28	disease	disease	NOUN
ijassa-1115	67	29	.	.	PUNCT
ijassa-1115	68	1	in	in	ADP
ijassa-1115	68	2	order	order	NOUN
ijassa-1115	68	3	to	to	PART
ijassa-1115	68	4	prioritize	prioritize	VERB
ijassa-1115	68	5	patients	patient	NOUN
ijassa-1115	68	6	at	at	ADP
ijassa-1115	68	7	the	the	DET
ijassa-1115	68	8	highest	high	ADJ
ijassa-1115	68	9	risk	risk	NOUN
ijassa-1115	68	10	and	and	CCONJ
ijassa-1115	68	11	maybe	maybe	ADV
ijassa-1115	68	12	lower	low	ADJ
ijassa-1115	68	13	the	the	DET
ijassa-1115	68	14	rate	rate	NOUN
ijassa-1115	68	15	,	,	PUNCT
ijassa-1115	68	16	this	this	DET
ijassa-1115	68	17	research	research	NOUN
ijassa-1115	68	18	proposes	propose	VERB
ijassa-1115	68	19	a	a	DET
ijassa-1115	68	20	straightforward	straightforward	ADJ
ijassa-1115	68	21	and	and	CCONJ
ijassa-1115	68	22	workable	workable	ADJ
ijassa-1115	68	23	method	method	NOUN
ijassa-1115	68	24	[	[	X
ijassa-1115	68	25	21	21	NUM
ijassa-1115	68	26	]	]	PUNCT
ijassa-1115	68	27	.	.	PUNCT
ijassa-1115	69	1	studies	study	NOUN
ijassa-1115	69	2	have	have	AUX
ijassa-1115	69	3	shown	show	VERB
ijassa-1115	69	4	that	that	SCONJ
ijassa-1115	69	5	patients	patient	NOUN
ijassa-1115	69	6	with	with	ADP
ijassa-1115	69	7	cardiovascular	cardiovascular	ADJ
ijassa-1115	69	8	and	and	CCONJ
ijassa-1115	69	9	metabolic	metabolic	NOUN
ijassa-1115	69	10	problems	problem	NOUN
ijassa-1115	69	11	were	be	AUX
ijassa-1115	69	12	more	more	ADV
ijassa-1115	69	13	likely	likely	ADJ
ijassa-1115	69	14	to	to	PART
ijassa-1115	69	15	contract	contract	VERB
ijassa-1115	69	16	covid-19	covid-19	PROPN
ijassa-1115	69	17	and	and	CCONJ
ijassa-1115	69	18	that	that	SCONJ
ijassa-1115	69	19	the	the	DET
ijassa-1115	69	20	infection	infection	NOUN
ijassa-1115	69	21	worsened	worsen	VERB
ijassa-1115	69	22	.	.	PUNCT
ijassa-1115	70	1	this	this	DET
ijassa-1115	70	2	investigation	investigation	NOUN
ijassa-1115	70	3	aims	aim	VERB
ijassa-1115	70	4	to	to	PART
ijassa-1115	70	5	determine	determine	VERB
ijassa-1115	70	6	the	the	DET
ijassa-1115	70	7	relationship	relationship	NOUN
ijassa-1115	70	8	between	between	ADP
ijassa-1115	70	9	metabolic	metabolic	NOUN
ijassa-1115	70	10	and	and	CCONJ
ijassa-1115	70	11	cardiovascular	cardiovascular	ADJ
ijassa-1115	70	12	illnesses	illness	NOUN
ijassa-1115	70	13	using	use	VERB
ijassa-1115	70	14	covid-19	covid-19	PROPN
ijassa-1115	71	1	[	[	X
ijassa-1115	71	2	22	22	NUM
ijassa-1115	71	3	]	]	PUNCT
ijassa-1115	71	4	.	.	PUNCT
ijassa-1115	72	1	nonetheless	nonetheless	ADV
ijassa-1115	72	2	,	,	PUNCT
ijassa-1115	72	3	the	the	DET
ijassa-1115	72	4	aforementioned	aforementioned	ADJ
ijassa-1115	72	5	studies	study	NOUN
ijassa-1115	72	6	discuss	discuss	VERB
ijassa-1115	72	7	diverse	diverse	ADJ
ijassa-1115	72	8	mathematical	mathematical	ADJ
ijassa-1115	72	9	strategies	strategy	NOUN
ijassa-1115	72	10	,	,	PUNCT
ijassa-1115	72	11	artificial	artificial	ADJ
ijassa-1115	72	12	intelligence	intelligence	NOUN
ijassa-1115	72	13	models	model	NOUN
ijassa-1115	72	14	,	,	PUNCT
ijassa-1115	72	15	neural	neural	ADJ
ijassa-1115	72	16	network	network	NOUN
ijassa-1115	72	17	models	model	NOUN
ijassa-1115	72	18	,	,	PUNCT
ijassa-1115	72	19	and	and	CCONJ
ijassa-1115	72	20	verification	verification	NOUN
ijassa-1115	72	21	and	and	CCONJ
ijassa-1115	72	22	validation	validation	NOUN
ijassa-1115	72	23	methods	method	NOUN
ijassa-1115	72	24	for	for	ADP
ijassa-1115	72	25	the	the	DET
ijassa-1115	72	26	prediction	prediction	NOUN
ijassa-1115	72	27	of	of	ADP
ijassa-1115	72	28	patients	patient	NOUN
ijassa-1115	72	29	impacted	impact	VERB
ijassa-1115	72	30	by	by	ADP
ijassa-1115	72	31	corona	corona	PROPN
ijassa-1115	72	32	.	.	PUNCT
ijassa-1115	73	1	some	some	DET
ijassa-1115	73	2	articles	article	NOUN
ijassa-1115	73	3	even	even	ADV
ijassa-1115	73	4	used	use	VERB
ijassa-1115	73	5	a	a	DET
ijassa-1115	73	6	statistical	statistical	ADJ
ijassa-1115	73	7	,	,	PUNCT
ijassa-1115	73	8	stochastic	stochastic	NOUN
ijassa-1115	73	9	,	,	PUNCT
ijassa-1115	73	10	and	and	CCONJ
ijassa-1115	73	11	mathematical	mathematical	ADJ
ijassa-1115	73	12	model	model	NOUN
ijassa-1115	73	13	to	to	PART
ijassa-1115	73	14	describe	describe	VERB
ijassa-1115	73	15	how	how	SCONJ
ijassa-1115	73	16	corona	corona	NOUN
ijassa-1115	73	17	transmission	transmission	NOUN
ijassa-1115	73	18	occurs	occur	VERB
ijassa-1115	73	19	.	.	PUNCT
ijassa-1115	74	1	however	however	ADV
ijassa-1115	74	2	,	,	PUNCT
ijassa-1115	74	3	a	a	DET
ijassa-1115	74	4	small	small	ADJ
ijassa-1115	74	5	number	number	NOUN
ijassa-1115	74	6	of	of	ADP
ijassa-1115	74	7	studies	study	NOUN
ijassa-1115	74	8	—	—	PUNCT
ijassa-1115	74	9	particularly	particularly	ADV
ijassa-1115	74	10	those	those	PRON
ijassa-1115	74	11	using	use	VERB
ijassa-1115	74	12	hybrid	hybrid	ADJ
ijassa-1115	74	13	models	model	NOUN
ijassa-1115	74	14	—	—	PUNCT
ijassa-1115	74	15	used	use	VERB
ijassa-1115	74	16	machine	machine	NOUN
ijassa-1115	74	17	learning	learning	NOUN
ijassa-1115	74	18	methods	method	NOUN
ijassa-1115	74	19	.	.	PUNCT
ijassa-1115	75	1	no	no	DET
ijassa-1115	75	2	such	such	ADJ
ijassa-1115	75	3	noteworthy	noteworthy	ADJ
ijassa-1115	75	4	research	research	NOUN
ijassa-1115	75	5	paper	paper	NOUN
ijassa-1115	75	6	attempted	attempt	VERB
ijassa-1115	75	7	to	to	PART
ijassa-1115	75	8	use	use	VERB
ijassa-1115	75	9	machine	machine	NOUN
ijassa-1115	75	10	learning	learning	NOUN
ijassa-1115	75	11	tools	tool	NOUN
ijassa-1115	75	12	to	to	PART
ijassa-1115	75	13	create	create	VERB
ijassa-1115	75	14	a	a	DET
ijassa-1115	75	15	survival	survival	NOUN
ijassa-1115	75	16	model	model	NOUN
ijassa-1115	75	17	for	for	ADP
ijassa-1115	75	18	covid-19	covid-19	PROPN
ijassa-1115	75	19	patients	patient	NOUN
ijassa-1115	75	20	.	.	PUNCT
ijassa-1115	76	1	in	in	ADP
ijassa-1115	76	2	this	this	DET
ijassa-1115	76	3	work	work	NOUN
ijassa-1115	76	4	,	,	PUNCT
ijassa-1115	76	5	we	we	PRON
ijassa-1115	76	6	developed	develop	VERB
ijassa-1115	76	7	a	a	DET
ijassa-1115	76	8	hybrid	hybrid	ADJ
ijassa-1115	76	9	model	model	NOUN
ijassa-1115	76	10	and	and	CCONJ
ijassa-1115	76	11	focused	focus	VERB
ijassa-1115	76	12	on	on	ADP
ijassa-1115	76	13	forecasting	forecast	VERB
ijassa-1115	76	14	the	the	DET
ijassa-1115	76	15	survival	survival	NOUN
ijassa-1115	76	16	of	of	ADP
ijassa-1115	76	17	coronavirus	coronavirus	NOUN
ijassa-1115	76	18	-	-	PUNCT
ijassa-1115	76	19	infected	infect	VERB
ijassa-1115	76	20	individuals	individual	NOUN
ijassa-1115	76	21	utilizing	utilize	VERB
ijassa-1115	76	22	currently	currently	ADV
ijassa-1115	76	23	available	available	ADJ
ijassa-1115	76	24	machine	machine	NOUN
ijassa-1115	76	25	learning	learning	NOUN
ijassa-1115	76	26	devices	device	NOUN
ijassa-1115	76	27	.	.	PUNCT
ijassa-1115	77	1	we	we	PRON
ijassa-1115	77	2	have	have	AUX
ijassa-1115	77	3	made	make	VERB
ijassa-1115	77	4	an	an	DET
ijassa-1115	77	5	effort	effort	NOUN
ijassa-1115	77	6	to	to	PART
ijassa-1115	77	7	more	more	ADV
ijassa-1115	77	8	closely	closely	ADV
ijassa-1115	77	9	evaluate	evaluate	VERB
ijassa-1115	77	10	our	our	PRON
ijassa-1115	77	11	suggested	suggest	VERB
ijassa-1115	77	12	hybrid	hybrid	ADJ
ijassa-1115	77	13	model	model	NOUN
ijassa-1115	77	14	with	with	ADP
ijassa-1115	77	15	the	the	DET
ijassa-1115	77	16	available	available	ADJ
ijassa-1115	77	17	machine	machine	NOUN
ijassa-1115	77	18	learning	learning	NOUN
ijassa-1115	77	19	tools	tool	NOUN
ijassa-1115	77	20	.	.	PUNCT
ijassa-1115	78	1	in	in	ADP
ijassa-1115	78	2	this	this	DET
ijassa-1115	78	3	study	study	NOUN
ijassa-1115	78	4	,	,	PUNCT
ijassa-1115	78	5	we	we	PRON
ijassa-1115	78	6	also	also	ADV
ijassa-1115	78	7	attempt	attempt	VERB
ijassa-1115	78	8	to	to	PART
ijassa-1115	78	9	quantify	quantify	VERB
ijassa-1115	78	10	the	the	DET
ijassa-1115	78	11	effectiveness	effectiveness	NOUN
ijassa-1115	78	12	of	of	ADP
ijassa-1115	78	13	different	different	ADJ
ijassa-1115	78	14	machine	machine	NOUN
ijassa-1115	78	15	learning	learning	NOUN
ijassa-1115	78	16	technologies	technology	NOUN
ijassa-1115	78	17	in	in	ADP
ijassa-1115	78	18	terms	term	NOUN
ijassa-1115	78	19	of	of	ADP
ijassa-1115	78	20	classification	classification	NOUN
ijassa-1115	78	21	,	,	PUNCT
ijassa-1115	78	22	validation	validation	NOUN
ijassa-1115	78	23	,	,	PUNCT
ijassa-1115	78	24	and	and	CCONJ
ijassa-1115	78	25	accuracy	accuracy	NOUN
ijassa-1115	78	26	.	.	PUNCT
ijassa-1115	79	1	lastly	lastly	ADV
ijassa-1115	79	2	,	,	PUNCT
ijassa-1115	79	3	we	we	PRON
ijassa-1115	79	4	try	try	VERB
ijassa-1115	79	5	to	to	PART
ijassa-1115	79	6	demonstrate	demonstrate	VERB
ijassa-1115	79	7	that	that	SCONJ
ijassa-1115	79	8	the	the	DET
ijassa-1115	79	9	employed	employ	VERB
ijassa-1115	79	10	data	datum	NOUN
ijassa-1115	79	11	set	set	VERB
ijassa-1115	79	12	is	be	AUX
ijassa-1115	79	13	well	well	ADV
ijassa-1115	79	14	described	describe	VERB
ijassa-1115	79	15	by	by	ADP
ijassa-1115	79	16	our	our	PRON
ijassa-1115	79	17	suggested	suggest	VERB
ijassa-1115	79	18	hybrid	hybrid	ADJ
ijassa-1115	79	19	model	model	NOUN
ijassa-1115	79	20	,	,	PUNCT
ijassa-1115	79	21	demonstrating	demonstrate	VERB
ijassa-1115	79	22	strong	strong	ADJ
ijassa-1115	79	23	performance	performance	NOUN
ijassa-1115	79	24	in	in	ADP
ijassa-1115	79	25	terms	term	NOUN
ijassa-1115	79	26	of	of	ADP
ijassa-1115	79	27	accuracy	accuracy	NOUN
ijassa-1115	79	28	,	,	PUNCT
ijassa-1115	79	29	precision	precision	NOUN
ijassa-1115	79	30	,	,	PUNCT
ijassa-1115	79	31	sensitivity	sensitivity	NOUN
ijassa-1115	79	32	,	,	PUNCT
ijassa-1115	79	33	specificity	specificity	NOUN
ijassa-1115	79	34	,	,	PUNCT
ijassa-1115	79	35	f1	f1	NOUN
ijassa-1115	79	36	score	score	NOUN
ijassa-1115	79	37	,	,	PUNCT
ijassa-1115	79	38	and	and	CCONJ
ijassa-1115	79	39	auc	auc	NOUN
ijassa-1115	79	40	.	.	PUNCT
ijassa-1115	80	1	2	2	X
ijassa-1115	80	2	.	.	X
ijassa-1115	80	3	materials	material	NOUN
ijassa-1115	80	4	and	and	CCONJ
ijassa-1115	80	5	methods	method	NOUN
ijassa-1115	80	6	2.1	2.1	NUM
ijassa-1115	80	7	dataset	dataset	NOUN
ijassa-1115	80	8	collection	collection	NOUN
ijassa-1115	80	9	and	and	CCONJ
ijassa-1115	80	10	processing	processing	NOUN
ijassa-1115	80	11	we	we	PRON
ijassa-1115	80	12	used	use	VERB
ijassa-1115	80	13	metadata	metadata	NOUN
ijassa-1115	80	14	from	from	ADP
ijassa-1115	80	15	"	"	PUNCT
ijassa-1115	80	16	https://github.com/ieee8023/covid-chestxray-dataset	https://github.com/ieee8023/covid-chestxray-dataset	NOUN
ijassa-1115	80	17	"	"	PUNCT
ijassa-1115	80	18	in	in	ADP
ijassa-1115	80	19	this	this	DET
ijassa-1115	80	20	paper	paper	NOUN
ijassa-1115	80	21	.	.	PUNCT
ijassa-1115	81	1	there	there	PRON
ijassa-1115	81	2	are	be	VERB
ijassa-1115	81	3	312	312	NUM
ijassa-1115	81	4	patients	patient	NOUN
ijassa-1115	81	5	in	in	ADP
ijassa-1115	81	6	our	our	PRON
ijassa-1115	81	7	dataset	dataset	NOUN
ijassa-1115	81	8	,	,	PUNCT
ijassa-1115	81	9	and	and	CCONJ
ijassa-1115	81	10	each	each	DET
ijassa-1115	81	11	patient	patient	NOUN
ijassa-1115	81	12	has	have	VERB
ijassa-1115	81	13	additional	additional	ADJ
ijassa-1115	81	14	data	datum	NOUN
ijassa-1115	81	15	(	(	PUNCT
ijassa-1115	81	16	referred	refer	VERB
ijassa-1115	81	17	to	to	ADP
ijassa-1115	81	18	as	as	ADP
ijassa-1115	81	19	a	a	DET
ijassa-1115	81	20	variable	variable	NOUN
ijassa-1115	81	21	)	)	PUNCT
ijassa-1115	81	22	.	.	PUNCT
ijassa-1115	82	1	the	the	DET
ijassa-1115	82	2	following	follow	VERB
ijassa-1115	82	3	unique	unique	ADJ
ijassa-1115	82	4	characteristics	characteristic	NOUN
ijassa-1115	82	5	are	be	AUX
ijassa-1115	82	6	included	include	VERB
ijassa-1115	82	7	in	in	ADP
ijassa-1115	82	8	our	our	PRON
ijassa-1115	82	9	dataset	dataset	NOUN
ijassa-1115	82	10	:	:	PUNCT
ijassa-1115	82	11	patient	patient	ADJ
ijassa-1115	82	12	i	i	PROPN
ijassa-1115	82	13	d	d	PROPN
ijassa-1115	82	14	,	,	PUNCT
ijassa-1115	82	15	finding	finding	NOUN
ijassa-1115	82	16	/	/	SYM
ijassa-1115	82	17	type	type	NOUN
ijassa-1115	82	18	of	of	ADP
ijassa-1115	82	19	pneumonia	pneumonia	NOUN
ijassa-1115	82	20	,	,	PUNCT
ijassa-1115	82	21	age	age	NOUN
ijassa-1115	82	22	(	(	PUNCT
ijassa-1115	82	23	years	year	NOUN
ijassa-1115	82	24	of	of	ADP
ijassa-1115	82	25	the	the	DET
ijassa-1115	82	26	patient	patient	NOUN
ijassa-1115	82	27	)	)	PUNCT
ijassa-1115	82	28	,	,	PUNCT
ijassa-1115	82	29	sex	sex	NOUN
ijassa-1115	82	30	(	(	PUNCT
ijassa-1115	82	31	male	male	ADJ
ijassa-1115	82	32	or	or	CCONJ
ijassa-1115	82	33	female	female	NOUN
ijassa-1115	82	34	)	)	PUNCT
ijassa-1115	82	35	,	,	PUNCT
ijassa-1115	82	36	survival	survival	NOUN
ijassa-1115	82	37	status	status	NOUN
ijassa-1115	82	38	(	(	PUNCT
ijassa-1115	82	39	yes	yes	INTJ
ijassa-1115	82	40	/	/	SYM
ijassa-1115	82	41	no	no	NOUN
ijassa-1115	82	42	)	)	PUNCT
ijassa-1115	82	43	,	,	PUNCT
ijassa-1115	82	44	offset	offset	NOUN
ijassa-1115	82	45	(	(	PUNCT
ijassa-1115	82	46	number	number	NOUN
ijassa-1115	82	47	of	of	ADP
ijassa-1115	82	48	days	day	NOUN
ijassa-1115	82	49	)	)	PUNCT
ijassa-1115	82	50	,	,	PUNCT
ijassa-1115	82	51	went_icu	went_icu	X
ijassa-1115	82	52	(	(	PUNCT
ijassa-1115	82	53	yes	yes	INTJ
ijassa-1115	82	54	(	(	PUNCT
ijassa-1115	82	55	y	y	NOUN
ijassa-1115	82	56	)	)	PUNCT
ijassa-1115	82	57	if	if	SCONJ
ijassa-1115	82	58	the	the	DET
ijassa-1115	82	59	patient	patient	NOUN
ijassa-1115	82	60	was	be	AUX
ijassa-1115	82	61	in	in	ADP
ijassa-1115	82	62	the	the	DET
ijassa-1115	82	63	intensive	intensive	ADJ
ijassa-1115	82	64	care	care	NOUN
ijassa-1115	82	65	unit	unit	NOUN
ijassa-1115	82	66	(	(	PUNCT
ijassa-1115	82	67	icu	icu	PROPN
ijassa-1115	82	68	)	)	PUNCT
ijassa-1115	82	69	or	or	CCONJ
ijassa-1115	82	70	critical	critical	ADJ
ijassa-1115	82	71	care	care	NOUN
ijassa-1115	82	72	unit	unit	NOUN
ijassa-1115	82	73	(	(	PUNCT
ijassa-1115	82	74	ccu	ccu	PROPN
ijassa-1115	82	75	)	)	PUNCT
ijassa-1115	82	76	at	at	ADP
ijassa-1115	82	77	any	any	DET
ijassa-1115	82	78	point	point	NOUN
ijassa-1115	82	79	during	during	ADP
ijassa-1115	82	80	this	this	DET
ijassa-1115	82	81	sickness	sickness	NOUN
ijassa-1115	82	82	or	or	CCONJ
ijassa-1115	82	83	no	no	PRON
ijassa-1115	82	84	(	(	PUNCT
ijassa-1115	82	85	n	n	CCONJ
ijassa-1115	82	86	)	)	PUNCT
ijassa-1115	82	87	or	or	CCONJ
ijassa-1115	82	88	blank	blank	ADJ
ijassa-1115	82	89	if	if	SCONJ
ijassa-1115	82	90	unknown	unknown	ADJ
ijassa-1115	82	91	)	)	PUNCT
ijassa-1115	82	92	,	,	PUNCT
ijassa-1115	82	93	iintubated	iintubate	VERB
ijassa-1115	82	94	(	(	PUNCT
ijassa-1115	82	95	yes	yes	INTJ
ijassa-1115	82	96	(	(	PUNCT
ijassa-1115	82	97	y	y	NOUN
ijassa-1115	82	98	)	)	PUNCT
ijassa-1115	82	99	if	if	SCONJ
ijassa-1115	82	100	the	the	DET
ijassa-1115	82	101	patient	patient	NOUN
ijassa-1115	82	102	was	be	AUX
ijassa-1115	82	103	intubated	intubate	VERB
ijassa-1115	82	104	(	(	PUNCT
ijassa-1115	82	105	or	or	CCONJ
ijassa-1115	82	106	ventilated	ventilate	VERB
ijassa-1115	82	107	)	)	PUNCT
ijassa-1115	82	108	at	at	ADP
ijassa-1115	82	109	any	any	DET
ijassa-1115	82	110	time	time	NOUN
ijassa-1115	82	111	during	during	ADP
ijassa-1115	82	112	this	this	DET
ijassa-1115	82	113	illness	illness	NOUN
ijassa-1115	82	114	,	,	PUNCT
ijassa-1115	82	115	etc	etc	X
ijassa-1115	82	116	.	.	X
ijassa-1115	83	1	there	there	PRON
ijassa-1115	83	2	are	be	VERB
ijassa-1115	83	3	109	109	NUM
ijassa-1115	83	4	female	female	ADJ
ijassa-1115	83	5	patients	patient	NOUN
ijassa-1115	83	6	and	and	CCONJ
ijassa-1115	83	7	203	203	NUM
ijassa-1115	83	8	male	male	ADJ
ijassa-1115	83	9	patients	patient	NOUN
ijassa-1115	83	10	among	among	ADP
ijassa-1115	83	11	the	the	DET
ijassa-1115	83	12	312	312	NUM
ijassa-1115	83	13	patient	patient	NOUN
ijassa-1115	83	14	records	record	NOUN
ijassa-1115	83	15	in	in	ADP
ijassa-1115	83	16	this	this	DET
ijassa-1115	83	17	collection	collection	NOUN
ijassa-1115	83	18	.	.	PUNCT
ijassa-1115	84	1	this	this	PRON
ijassa-1115	84	2	is	be	AUX
ijassa-1115	84	3	a	a	DET
ijassa-1115	84	4	list	list	NOUN
ijassa-1115	84	5	of	of	ADP
ijassa-1115	84	6	all	all	DET
ijassa-1115	84	7	the	the	DET
ijassa-1115	84	8	metadata	metadata	NOUN
ijassa-1115	84	9	fields	field	NOUN
ijassa-1115	84	10	along	along	ADP
ijassa-1115	84	11	with	with	ADP
ijassa-1115	84	12	covid-19related	covid-19relate	VERB
ijassa-1115	84	13	explanations	explanation	NOUN
ijassa-1115	84	14	.	.	PUNCT
ijassa-1115	85	1	we	we	PRON
ijassa-1115	85	2	forecast	forecast	VERB
ijassa-1115	85	3	the	the	DET
ijassa-1115	85	4	survival	survival	NOUN
ijassa-1115	85	5	status	status	NOUN
ijassa-1115	85	6	of	of	ADP
ijassa-1115	85	7	patients	patient	NOUN
ijassa-1115	85	8	infected	infect	VERB
ijassa-1115	85	9	with	with	ADP
ijassa-1115	85	10	corona	corona	NOUN
ijassa-1115	85	11	based	base	VERB
ijassa-1115	85	12	on	on	ADP
ijassa-1115	85	13	the	the	DET
ijassa-1115	85	14	characteristics	characteristic	NOUN
ijassa-1115	85	15	.	.	PUNCT
ijassa-1115	86	1	version	version	NOUN
ijassa-1115	86	2	3.6.3	3.6.3	NUM
ijassa-1115	86	3	of	of	ADP
ijassa-1115	86	4	the	the	DET
ijassa-1115	86	5	r	r	NOUN
ijassa-1115	86	6	program	program	NOUN
ijassa-1115	86	7	is	be	AUX
ijassa-1115	86	8	used	use	VERB
ijassa-1115	86	9	for	for	ADP
ijassa-1115	86	10	data	data	NOUN
ijassa-1115	86	11	processing	processing	NOUN
ijassa-1115	86	12	and	and	CCONJ
ijassa-1115	86	13	analysis	analysis	NOUN
ijassa-1115	86	14	.	.	PUNCT
ijassa-1115	87	1	2.2	2.2	NUM
ijassa-1115	87	2	proposed	propose	VERB
ijassa-1115	87	3	hybrid	hybrid	NOUN
ijassa-1115	87	4	model	model	NOUN
ijassa-1115	87	5	the	the	DET
ijassa-1115	87	6	idea	idea	NOUN
ijassa-1115	87	7	behind	behind	ADP
ijassa-1115	87	8	hybrid	hybrid	NOUN
ijassa-1115	87	9	or	or	CCONJ
ijassa-1115	87	10	ensemble	ensemble	ADJ
ijassa-1115	87	11	techniques	technique	NOUN
ijassa-1115	87	12	is	be	AUX
ijassa-1115	87	13	that	that	SCONJ
ijassa-1115	87	14	a	a	DET
ijassa-1115	87	15	combination	combination	NOUN
ijassa-1115	87	16	of	of	ADP
ijassa-1115	87	17	several	several	ADJ
ijassa-1115	87	18	single	single	ADJ
ijassa-1115	87	19	models	model	NOUN
ijassa-1115	87	20	can	can	AUX
ijassa-1115	87	21	often	often	ADV
ijassa-1115	87	22	produce	produce	VERB
ijassa-1115	87	23	effective	effective	ADJ
ijassa-1115	87	24	discriminatory	discriminatory	ADJ
ijassa-1115	87	25	rules	rule	NOUN
ijassa-1115	87	26	.	.	PUNCT
ijassa-1115	88	1	we	we	PRON
ijassa-1115	88	2	are	be	AUX
ijassa-1115	88	3	going	go	VERB
ijassa-1115	88	4	to	to	PART
ijassa-1115	88	5	build	build	VERB
ijassa-1115	88	6	ensembles	ensemble	NOUN
ijassa-1115	88	7	of	of	ADP
ijassa-1115	88	8	machine	machine	NOUN
ijassa-1115	88	9	learning	learn	VERB
ijassa-1115	88	10	algorithms	algorithm	NOUN
ijassa-1115	88	11	.	.	PUNCT
ijassa-1115	89	1	we	we	PRON
ijassa-1115	89	2	integrate	integrate	VERB
ijassa-1115	89	3	predictions	prediction	NOUN
ijassa-1115	89	4	from	from	ADP
ijassa-1115	89	5	four	four	NUM
ijassa-1115	89	6	caret	caret	NOUN
ijassa-1115	89	7	models	model	NOUN
ijassa-1115	89	8	via	via	ADP
ijassa-1115	89	9	stacking	stacking	NOUN
ijassa-1115	89	10	.	.	PUNCT
ijassa-1115	90	1	this	this	PRON
ijassa-1115	90	2	may	may	AUX
ijassa-1115	90	3	indicate	indicate	VERB
ijassa-1115	90	4	that	that	SCONJ
ijassa-1115	90	5	the	the	DET
ijassa-1115	90	6	models	model	NOUN
ijassa-1115	90	7	are	be	AUX
ijassa-1115	90	8	proficient	proficient	ADJ
ijassa-1115	90	9	in	in	ADP
ijassa-1115	90	10	multiple	multiple	ADJ
ijassa-1115	90	11	domains	domain	NOUN
ijassa-1115	90	12	,	,	PUNCT
ijassa-1115	90	13	enabling	enable	VERB
ijassa-1115	90	14	a	a	DET
ijassa-1115	90	15	novel	novel	ADJ
ijassa-1115	90	16	word	word	NOUN
ijassa-1115	90	17	template	template	NOUN
ijassa-1115	90	18	for	for	ADP
ijassa-1115	90	19	assa	assa	NOUN
ijassa-1115	90	20	manuscript	manuscript	NOUN
ijassa-1115	90	21	151	151	NUM
ijassa-1115	90	22	copyright	copyright	NOUN
ijassa-1115	90	23	©	©	PROPN
ijassa-1115	90	24	2023	2023	NUM
ijassa-1115	90	25	assa	assa	NOUN
ijassa-1115	90	26	.	.	PUNCT
ijassa-1115	91	1	adv	adv	PROPN
ijassa-1115	91	2	.	.	PUNCT
ijassa-1115	92	1	in	in	ADP
ijassa-1115	92	2	systems	system	NOUN
ijassa-1115	92	3	science	science	NOUN
ijassa-1115	92	4	and	and	CCONJ
ijassa-1115	92	5	appl	appl	NOUN
ijassa-1115	92	6	.	.	PUNCT
ijassa-1115	93	1	(	(	PUNCT
ijassa-1115	93	2	2024	2024	NUM
ijassa-1115	93	3	)	)	PUNCT
ijassa-1115	93	4	classifier	classifier	NOUN
ijassa-1115	93	5	to	to	PART
ijassa-1115	93	6	determine	determine	VERB
ijassa-1115	93	7	how	how	SCONJ
ijassa-1115	93	8	to	to	PART
ijassa-1115	93	9	extract	extract	VERB
ijassa-1115	93	10	the	the	DET
ijassa-1115	93	11	best	good	ADJ
ijassa-1115	93	12	performance	performance	NOUN
ijassa-1115	93	13	and	and	CCONJ
ijassa-1115	93	14	accuracy	accuracy	NOUN
ijassa-1115	93	15	from	from	ADP
ijassa-1115	93	16	each	each	DET
ijassa-1115	93	17	model	model	NOUN
ijassa-1115	93	18	.	.	PUNCT
ijassa-1115	94	1	in	in	ADP
ijassa-1115	94	2	this	this	DET
ijassa-1115	94	3	instance	instance	NOUN
ijassa-1115	94	4	,	,	PUNCT
ijassa-1115	94	5	we	we	PRON
ijassa-1115	94	6	will	will	AUX
ijassa-1115	94	7	utilize	utilize	VERB
ijassa-1115	94	8	the	the	DET
ijassa-1115	94	9	random	random	ADJ
ijassa-1115	94	10	forest	forest	NOUN
ijassa-1115	94	11	method	method	NOUN
ijassa-1115	94	12	to	to	PART
ijassa-1115	94	13	combine	combine	VERB
ijassa-1115	94	14	the	the	DET
ijassa-1115	94	15	predictions	prediction	NOUN
ijassa-1115	94	16	,	,	PUNCT
ijassa-1115	94	17	which	which	PRON
ijassa-1115	94	18	is	be	AUX
ijassa-1115	94	19	why	why	SCONJ
ijassa-1115	94	20	the	the	DET
ijassa-1115	94	21	hybrid	hybrid	NOUN
ijassa-1115	94	22	model	model	NOUN
ijassa-1115	94	23	shows	show	VERB
ijassa-1115	94	24	the	the	DET
ijassa-1115	94	25	highest	high	ADJ
ijassa-1115	94	26	accuracy	accuracy	NOUN
ijassa-1115	94	27	when	when	SCONJ
ijassa-1115	94	28	compared	compare	VERB
ijassa-1115	94	29	to	to	ADP
ijassa-1115	94	30	all	all	PRON
ijassa-1115	94	31	or	or	CCONJ
ijassa-1115	94	32	any	any	DET
ijassa-1115	94	33	machine	machine	NOUN
ijassa-1115	94	34	learning	learn	VERB
ijassa-1115	94	35	software	software	NOUN
ijassa-1115	94	36	alone	alone	ADV
ijassa-1115	94	37	.	.	PUNCT
ijassa-1115	95	1	2.3	2.3	NUM
ijassa-1115	95	2	experimental	experimental	ADJ
ijassa-1115	95	3	setup	setup	NOUN
ijassa-1115	95	4	figure	figure	NOUN
ijassa-1115	95	5	2.1	2.1	NUM
ijassa-1115	95	6	outlines	outline	VERB
ijassa-1115	95	7	the	the	DET
ijassa-1115	95	8	several	several	ADJ
ijassa-1115	95	9	stages	stage	NOUN
ijassa-1115	95	10	that	that	PRON
ijassa-1115	95	11	our	our	PRON
ijassa-1115	95	12	investigation	investigation	NOUN
ijassa-1115	95	13	covered	cover	VERB
ijassa-1115	95	14	.	.	PUNCT
ijassa-1115	96	1	we	we	PRON
ijassa-1115	96	2	pre	pre	VERB
ijassa-1115	96	3	-	-	VERB
ijassa-1115	96	4	processed	process	VERB
ijassa-1115	96	5	the	the	DET
ijassa-1115	96	6	dataset	dataset	NOUN
ijassa-1115	96	7	for	for	ADP
ijassa-1115	96	8	our	our	PRON
ijassa-1115	96	9	predictive	predictive	ADJ
ijassa-1115	96	10	model	model	NOUN
ijassa-1115	96	11	in	in	ADP
ijassa-1115	96	12	the	the	DET
ijassa-1115	96	13	first	first	ADJ
ijassa-1115	96	14	stage	stage	NOUN
ijassa-1115	96	15	.	.	PUNCT
ijassa-1115	97	1	the	the	DET
ijassa-1115	97	2	dataset	dataset	NOUN
ijassa-1115	97	3	is	be	AUX
ijassa-1115	97	4	then	then	ADV
ijassa-1115	97	5	divided	divide	VERB
ijassa-1115	97	6	into	into	ADP
ijassa-1115	97	7	training	training	NOUN
ijassa-1115	97	8	and	and	CCONJ
ijassa-1115	97	9	testing	testing	NOUN
ijassa-1115	97	10	datasets	dataset	NOUN
ijassa-1115	97	11	as	as	ADP
ijassa-1115	97	12	the	the	DET
ijassa-1115	97	13	next	next	ADJ
ijassa-1115	97	14	phase	phase	NOUN
ijassa-1115	97	15	.	.	PUNCT
ijassa-1115	98	1	three	three	NUM
ijassa-1115	98	2	well	well	ADV
ijassa-1115	98	3	-	-	PUNCT
ijassa-1115	98	4	known	know	VERB
ijassa-1115	98	5	classification	classification	NOUN
ijassa-1115	98	6	methods	method	NOUN
ijassa-1115	98	7	as	as	ADV
ijassa-1115	98	8	well	well	ADV
ijassa-1115	98	9	as	as	ADP
ijassa-1115	98	10	a	a	DET
ijassa-1115	98	11	hybrid	hybrid	ADJ
ijassa-1115	98	12	model	model	NOUN
ijassa-1115	98	13	were	be	AUX
ijassa-1115	98	14	used	use	VERB
ijassa-1115	98	15	in	in	ADP
ijassa-1115	98	16	our	our	PRON
ijassa-1115	98	17	investigation	investigation	NOUN
ijassa-1115	98	18	.	.	PUNCT
ijassa-1115	99	1	as	as	ADP
ijassa-1115	99	2	a	a	DET
ijassa-1115	99	3	result	result	NOUN
ijassa-1115	99	4	,	,	PUNCT
ijassa-1115	99	5	the	the	DET
ijassa-1115	99	6	most	most	ADV
ijassa-1115	99	7	accurate	accurate	ADJ
ijassa-1115	99	8	prediction	prediction	NOUN
ijassa-1115	99	9	model	model	NOUN
ijassa-1115	99	10	gets	get	AUX
ijassa-1115	99	11	approved	approve	VERB
ijassa-1115	99	12	to	to	PART
ijassa-1115	99	13	be	be	AUX
ijassa-1115	99	14	used	use	VERB
ijassa-1115	99	15	as	as	ADP
ijassa-1115	99	16	a	a	DET
ijassa-1115	99	17	future	future	ADJ
ijassa-1115	99	18	model	model	NOUN
ijassa-1115	99	19	.	.	PUNCT
ijassa-1115	100	1	fig.2.1	fig.2.1	NOUN
ijassa-1115	100	2	.	.	PUNCT
ijassa-1115	100	3	flowchart	flowchart	NOUN
ijassa-1115	100	4	for	for	ADP
ijassa-1115	100	5	proposed	propose	VERB
ijassa-1115	100	6	hybrid	hybrid	NOUN
ijassa-1115	100	7	model	model	NOUN
ijassa-1115	100	8	2.4	2.4	NUM
ijassa-1115	100	9	.	.	PUNCT
ijassa-1115	100	10	machine	machine	NOUN
ijassa-1115	100	11	learning	learning	NOUN
ijassa-1115	100	12	technique	technique	NOUN
ijassa-1115	100	13	2.4.1	2.4.1	NUM
ijassa-1115	100	14	support	support	NOUN
ijassa-1115	100	15	vector	vector	NOUN
ijassa-1115	100	16	machines	machine	NOUN
ijassa-1115	100	17	(	(	PUNCT
ijassa-1115	100	18	svm	svm	ADJ
ijassa-1115	100	19	)	)	PUNCT
ijassa-1115	100	20	support	support	NOUN
ijassa-1115	100	21	-	-	PUNCT
ijassa-1115	100	22	vector	vector	NOUN
ijassa-1115	100	23	machines	machine	NOUN
ijassa-1115	100	24	(	(	PUNCT
ijassa-1115	100	25	svms	svms	NOUN
ijassa-1115	100	26	,	,	PUNCT
ijassa-1115	100	27	support	support	VERB
ijassa-1115	100	28	vector	vector	NOUN
ijassa-1115	100	29	networks	network	NOUN
ijassa-1115	100	30	)	)	PUNCT
ijassa-1115	100	31	are	be	AUX
ijassa-1115	100	32	supervised	supervise	VERB
ijassa-1115	100	33	learning	learning	NOUN
ijassa-1115	100	34	models	model	NOUN
ijassa-1115	100	35	with	with	ADP
ijassa-1115	100	36	corresponding	correspond	VERB
ijassa-1115	100	37	learning	learning	NOUN
ijassa-1115	100	38	algorithmic	algorithmic	ADJ
ijassa-1115	100	39	programs	program	NOUN
ijassa-1115	100	40	used	use	VERB
ijassa-1115	100	41	for	for	ADP
ijassa-1115	100	42	regression	regression	NOUN
ijassa-1115	100	43	analysis	analysis	NOUN
ijassa-1115	100	44	and	and	CCONJ
ijassa-1115	100	45	compartmentalization	compartmentalization	NOUN
ijassa-1115	100	46	through	through	ADP
ijassa-1115	100	47	simulated	simulated	ADJ
ijassa-1115	100	48	data	datum	NOUN
ijassa-1115	100	49	in	in	ADP
ijassa-1115	100	50	machine	machine	NOUN
ijassa-1115	100	51	learning	learn	VERB
ijassa-1115	100	52	techniques	technique	NOUN
ijassa-1115	100	53	.	.	PUNCT
ijassa-1115	101	1	in	in	ADP
ijassa-1115	101	2	addition	addition	NOUN
ijassa-1115	101	3	to	to	ADP
ijassa-1115	101	4	performing	perform	VERB
ijassa-1115	101	5	linear	linear	PROPN
ijassa-1115	101	6	variety	variety	NOUN
ijassa-1115	101	7	,	,	PUNCT
ijassa-1115	101	8	support	support	VERB
ijassa-1115	101	9	vector	vector	NOUN
ijassa-1115	101	10	machines	machine	NOUN
ijassa-1115	101	11	(	(	PUNCT
ijassa-1115	101	12	svms	svms	NOUN
ijassa-1115	101	13	)	)	PUNCT
ijassa-1115	101	14	can	can	AUX
ijassa-1115	101	15	also	also	ADV
ijassa-1115	101	16	do	do	VERB
ijassa-1115	101	17	nonlinear	nonlinear	ADJ
ijassa-1115	101	18	classification	classification	NOUN
ijassa-1115	101	19	by	by	ADP
ijassa-1115	101	20	implicitly	implicitly	ADV
ijassa-1115	101	21	transforming	transform	VERB
ijassa-1115	101	22	their	their	PRON
ijassa-1115	101	23	inputs	input	NOUN
ijassa-1115	101	24	into	into	ADP
ijassa-1115	101	25	high	high	ADJ
ijassa-1115	101	26	-	-	PUNCT
ijassa-1115	101	27	dimensional	dimensional	ADJ
ijassa-1115	101	28	feature	feature	NOUN
ijassa-1115	101	29	spaces	space	NOUN
ijassa-1115	101	30	,	,	PUNCT
ijassa-1115	101	31	a	a	DET
ijassa-1115	101	32	technique	technique	NOUN
ijassa-1115	101	33	known	know	VERB
ijassa-1115	101	34	as	as	ADP
ijassa-1115	101	35	the	the	DET
ijassa-1115	101	36	kernel	kernel	PROPN
ijassa-1115	101	37	trick	trick	NOUN
ijassa-1115	101	38	.	.	PUNCT
ijassa-1115	102	1	the	the	DET
ijassa-1115	102	2	support	support	NOUN
ijassa-1115	102	3	vector	vector	NOUN
ijassa-1115	102	4	machine	machine	NOUN
ijassa-1115	102	5	category	category	NOUN
ijassa-1115	102	6	was	be	AUX
ijassa-1115	102	7	created	create	VERB
ijassa-1115	102	8	by	by	ADP
ijassa-1115	102	9	vladimir	vladimir	NOUN
ijassa-1115	102	10	vapnik	vapnik	PROPN
ijassa-1115	102	11	and	and	CCONJ
ijassa-1115	102	12	alexey	alexey	PROPN
ijassa-1115	102	13	chervonenkis	chervonenkis	PROPN
ijassa-1115	102	14	in	in	ADP
ijassa-1115	102	15	an	an	DET
ijassa-1115	102	16	effort	effort	NOUN
ijassa-1115	102	17	to	to	PART
ijassa-1115	102	18	transfer	transfer	VERB
ijassa-1115	102	19	a	a	DET
ijassa-1115	102	20	linearly	linearly	ADV
ijassa-1115	102	21	separable	separable	ADJ
ijassa-1115	102	22	hyperplane	hyperplane	NOUN
ijassa-1115	102	23	and	and	CCONJ
ijassa-1115	102	24	split	split	VERB
ijassa-1115	102	25	the	the	DET
ijassa-1115	102	26	dataset	dataset	NOUN
ijassa-1115	102	27	into	into	ADP
ijassa-1115	102	28	two	two	NUM
ijassa-1115	102	29	groups	group	NOUN
ijassa-1115	102	30	.	.	PUNCT
ijassa-1115	103	1	assuming	assume	VERB
ijassa-1115	103	2	perfect	perfect	ADJ
ijassa-1115	103	3	data	datum	NOUN
ijassa-1115	103	4	separation	separation	NOUN
ijassa-1115	103	5	,	,	PUNCT
ijassa-1115	103	6	let	let	VERB
ijassa-1115	103	7	's	us	PRON
ijassa-1115	103	8	proceed	proceed	VERB
ijassa-1115	103	9	.	.	PUNCT
ijassa-1115	104	1	after	after	ADP
ijassa-1115	104	2	that	that	PRON
ijassa-1115	104	3	,	,	PUNCT
ijassa-1115	104	4	we	we	PRON
ijassa-1115	104	5	can	can	AUX
ijassa-1115	104	6	maximize	maximize	VERB
ijassa-1115	104	7	the	the	DET
ijassa-1115	104	8	subsequent	subsequent	NOUN
ijassa-1115	104	9	:	:	PUNCT
ijassa-1115	104	10	minimize	minimize	VERB
ijassa-1115	104	11	2	2	NUM
ijassa-1115	104	12	,	,	PUNCT
ijassa-1115	104	13	subject	subject	ADJ
ijassa-1115	104	14	to	to	ADP
ijassa-1115	104	15	:	:	PUNCT
ijassa-1115	104	16	152	152	NUM
ijassa-1115	104	17	i.	i.	PROPN
ijassa-1115	104	18	petrov	petrov	PROPN
ijassa-1115	104	19	,	,	PUNCT
ijassa-1115	104	20	j.f	j.f	PROPN
ijassa-1115	104	21	.	.	PROPN
ijassa-1115	104	22	doe	doe	NOUN
ijassa-1115	104	23	copyright	copyright	NOUN
ijassa-1115	104	24	©	©	PROPN
ijassa-1115	104	25	2023	2023	NUM
ijassa-1115	104	26	assa	assa	PROPN
ijassa-1115	104	27	adv	adv	PROPN
ijassa-1115	104	28	.	.	PUNCT
ijassa-1115	105	1	in	in	ADP
ijassa-1115	105	2	systems	system	NOUN
ijassa-1115	105	3	science	science	NOUN
ijassa-1115	105	4	and	and	CCONJ
ijassa-1115	105	5	appl	appl	NOUN
ijassa-1115	105	6	.	.	PUNCT
ijassa-1115	106	1	(	(	PUNCT
ijassa-1115	106	2	2023	2023	NUM
ijassa-1115	106	3	)	)	PUNCT
ijassa-1115	106	4	the	the	DET
ijassa-1115	106	5	last	last	ADJ
ijassa-1115	106	6	two	two	NUM
ijassa-1115	106	7	constraints	constraint	NOUN
ijassa-1115	106	8	can	can	AUX
ijassa-1115	106	9	be	be	AUX
ijassa-1115	106	10	compacted	compact	VERB
ijassa-1115	106	11	to	to	ADP
ijassa-1115	106	12	:	:	PUNCT
ijassa-1115	106	13	a	a	DET
ijassa-1115	106	14	quadratic	quadratic	ADJ
ijassa-1115	106	15	algorithm	algorithm	NOUN
ijassa-1115	106	16	called	call	VERB
ijassa-1115	106	17	linear	linear	PROPN
ijassa-1115	106	18	svm	svm	PROPN
ijassa-1115	106	19	works	work	VERB
ijassa-1115	106	20	effectively	effectively	ADV
ijassa-1115	106	21	with	with	ADP
ijassa-1115	106	22	datasets	dataset	NOUN
ijassa-1115	106	23	that	that	PRON
ijassa-1115	106	24	are	be	AUX
ijassa-1115	106	25	easily	easily	ADV
ijassa-1115	106	26	divided	divide	VERB
ijassa-1115	106	27	into	into	ADP
ijassa-1115	106	28	two	two	NUM
ijassa-1115	106	29	sections	section	NOUN
ijassa-1115	106	30	by	by	ADP
ijassa-1115	106	31	a	a	DET
ijassa-1115	106	32	hyper	hyper	NOUN
ijassa-1115	106	33	-	-	NOUN
ijassa-1115	106	34	plane	plane	NOUN
ijassa-1115	106	35	.	.	PUNCT
ijassa-1115	107	1	however	however	ADV
ijassa-1115	107	2	,	,	PUNCT
ijassa-1115	107	3	datasets	dataset	NOUN
ijassa-1115	107	4	can	can	AUX
ijassa-1115	107	5	occasionally	occasionally	ADV
ijassa-1115	107	6	be	be	AUX
ijassa-1115	107	7	complex	complex	ADJ
ijassa-1115	107	8	and	and	CCONJ
ijassa-1115	107	9	challenging	challenging	ADJ
ijassa-1115	107	10	to	to	PART
ijassa-1115	107	11	categorize	categorize	VERB
ijassa-1115	107	12	with	with	ADP
ijassa-1115	107	13	a	a	DET
ijassa-1115	107	14	linear	linear	ADJ
ijassa-1115	107	15	kernel	kernel	NOUN
ijassa-1115	107	16	.	.	PUNCT
ijassa-1115	108	1	2.4.2	2.4.2	NUM
ijassa-1115	108	2	random	random	ADJ
ijassa-1115	108	3	forest	forest	NOUN
ijassa-1115	108	4	model	model	NOUN
ijassa-1115	108	5	even	even	ADV
ijassa-1115	108	6	without	without	ADP
ijassa-1115	108	7	hyper	hyper	ADJ
ijassa-1115	108	8	-	-	ADJ
ijassa-1115	108	9	parameter	parameter	NOUN
ijassa-1115	108	10	adjustment	adjustment	NOUN
ijassa-1115	108	11	,	,	PUNCT
ijassa-1115	108	12	the	the	DET
ijassa-1115	108	13	random	random	ADJ
ijassa-1115	108	14	forest	forest	NOUN
ijassa-1115	108	15	method	method	NOUN
ijassa-1115	108	16	effectively	effectively	ADV
ijassa-1115	108	17	employs	employ	VERB
ijassa-1115	108	18	a	a	DET
ijassa-1115	108	19	machine	machine	NOUN
ijassa-1115	108	20	-	-	PUNCT
ijassa-1115	108	21	learning	learn	VERB
ijassa-1115	108	22	algorithm	algorithm	NOUN
ijassa-1115	108	23	that	that	PRON
ijassa-1115	108	24	produces	produce	VERB
ijassa-1115	108	25	excellent	excellent	ADJ
ijassa-1115	108	26	results	result	NOUN
ijassa-1115	108	27	most	most	ADJ
ijassa-1115	108	28	of	of	ADP
ijassa-1115	108	29	the	the	DET
ijassa-1115	108	30	time	time	NOUN
ijassa-1115	108	31	.	.	PUNCT
ijassa-1115	109	1	because	because	SCONJ
ijassa-1115	109	2	of	of	ADP
ijassa-1115	109	3	its	its	PRON
ijassa-1115	109	4	ease	ease	NOUN
ijassa-1115	109	5	of	of	ADP
ijassa-1115	109	6	use	use	NOUN
ijassa-1115	109	7	and	and	CCONJ
ijassa-1115	109	8	versatility	versatility	NOUN
ijassa-1115	109	9	,	,	PUNCT
ijassa-1115	109	10	it	it	PRON
ijassa-1115	109	11	's	be	AUX
ijassa-1115	109	12	also	also	ADV
ijassa-1115	109	13	one	one	NUM
ijassa-1115	109	14	of	of	ADP
ijassa-1115	109	15	the	the	DET
ijassa-1115	109	16	most	most	ADV
ijassa-1115	109	17	used	used	ADJ
ijassa-1115	109	18	algorithms	algorithm	NOUN
ijassa-1115	109	19	(	(	PUNCT
ijassa-1115	109	20	used	use	VERB
ijassa-1115	109	21	for	for	ADP
ijassa-1115	109	22	classification	classification	NOUN
ijassa-1115	109	23	and	and	CCONJ
ijassa-1115	109	24	regression	regression	NOUN
ijassa-1115	109	25	jobs	job	NOUN
ijassa-1115	109	26	)	)	PUNCT
ijassa-1115	109	27	.	.	PUNCT
ijassa-1115	110	1	the	the	DET
ijassa-1115	110	2	random	random	ADJ
ijassa-1115	110	3	forest	forest	NOUN
ijassa-1115	110	4	has	have	VERB
ijassa-1115	110	5	a	a	DET
ijassa-1115	110	6	great	great	ADJ
ijassa-1115	110	7	advantage	advantage	NOUN
ijassa-1115	110	8	when	when	SCONJ
ijassa-1115	110	9	used	use	VERB
ijassa-1115	110	10	to	to	ADP
ijassa-1115	110	11	classification	classification	NOUN
ijassa-1115	110	12	and	and	CCONJ
ijassa-1115	110	13	regression	regression	NOUN
ijassa-1115	110	14	tasks	task	NOUN
ijassa-1115	110	15	,	,	PUNCT
ijassa-1115	110	16	which	which	PRON
ijassa-1115	110	17	make	make	VERB
ijassa-1115	110	18	up	up	ADP
ijassa-1115	110	19	the	the	DET
ijassa-1115	110	20	majority	majority	NOUN
ijassa-1115	110	21	of	of	ADP
ijassa-1115	110	22	machine	machine	NOUN
ijassa-1115	110	23	learning	learn	VERB
ijassa-1115	110	24	systems	system	NOUN
ijassa-1115	110	25	in	in	ADP
ijassa-1115	110	26	use	use	NOUN
ijassa-1115	110	27	today	today	NOUN
ijassa-1115	110	28	.	.	PUNCT
ijassa-1115	111	1	the	the	DET
ijassa-1115	111	2	hyperparameters	hyperparameter	NOUN
ijassa-1115	111	3	of	of	ADP
ijassa-1115	111	4	random	random	ADJ
ijassa-1115	111	5	forests	forest	NOUN
ijassa-1115	111	6	are	be	AUX
ijassa-1115	111	7	identical	identical	ADJ
ijassa-1115	111	8	to	to	ADP
ijassa-1115	111	9	those	those	PRON
ijassa-1115	111	10	of	of	ADP
ijassa-1115	111	11	decision	decision	NOUN
ijassa-1115	111	12	trees	tree	NOUN
ijassa-1115	111	13	and	and	CCONJ
ijassa-1115	111	14	bagging	bagging	NOUN
ijassa-1115	111	15	classifiers	classifier	NOUN
ijassa-1115	111	16	.	.	PUNCT
ijassa-1115	112	1	we	we	PRON
ijassa-1115	112	2	may	may	AUX
ijassa-1115	112	3	also	also	ADV
ijassa-1115	112	4	use	use	VERB
ijassa-1115	112	5	the	the	DET
ijassa-1115	112	6	regressor	regressor	NOUN
ijassa-1115	112	7	algorithm	algorithm	NOUN
ijassa-1115	112	8	to	to	PART
ijassa-1115	112	9	carry	carry	VERB
ijassa-1115	112	10	out	out	ADP
ijassa-1115	112	11	regression	regression	NOUN
ijassa-1115	112	12	operations	operation	NOUN
ijassa-1115	112	13	for	for	ADP
ijassa-1115	112	14	random	random	ADJ
ijassa-1115	112	15	forest	forest	NOUN
ijassa-1115	112	16	.	.	PUNCT
ijassa-1115	113	1	the	the	DET
ijassa-1115	113	2	irregular	irregular	ADJ
ijassa-1115	113	3	forest	forest	NOUN
ijassa-1115	113	4	classifier	classifier	NOUN
ijassa-1115	113	5	is	be	AUX
ijassa-1115	113	6	made	make	VERB
ijassa-1115	113	7	up	up	ADP
ijassa-1115	113	8	of	of	ADP
ijassa-1115	113	9	a	a	DET
ijassa-1115	113	10	combination	combination	NOUN
ijassa-1115	113	11	of	of	ADP
ijassa-1115	113	12	tree	tree	NOUN
ijassa-1115	113	13	classifiers	classifier	NOUN
ijassa-1115	113	14	.	.	PUNCT
ijassa-1115	114	1	each	each	DET
ijassa-1115	114	2	tree	tree	NOUN
ijassa-1115	114	3	casts	cast	VERB
ijassa-1115	114	4	a	a	DET
ijassa-1115	114	5	unit	unit	NOUN
ijassa-1115	114	6	vote	vote	NOUN
ijassa-1115	114	7	to	to	PART
ijassa-1115	114	8	identify	identify	VERB
ijassa-1115	114	9	the	the	DET
ijassa-1115	114	10	most	most	ADV
ijassa-1115	114	11	prevalent	prevalent	ADJ
ijassa-1115	114	12	input	input	NOUN
ijassa-1115	114	13	vector	vector	NOUN
ijassa-1115	114	14	.	.	PUNCT
ijassa-1115	115	1	each	each	DET
ijassa-1115	115	2	classifier	classifier	NOUN
ijassa-1115	115	3	is	be	AUX
ijassa-1115	115	4	constructed	construct	VERB
ijassa-1115	115	5	using	use	VERB
ijassa-1115	115	6	an	an	DET
ijassa-1115	115	7	arbitrary	arbitrary	ADJ
ijassa-1115	115	8	vector	vector	NOUN
ijassa-1115	115	9	that	that	PRON
ijassa-1115	115	10	may	may	AUX
ijassa-1115	115	11	be	be	AUX
ijassa-1115	115	12	freely	freely	ADV
ijassa-1115	115	13	examined	examine	VERB
ijassa-1115	115	14	from	from	ADP
ijassa-1115	115	15	the	the	DET
ijassa-1115	115	16	input	input	NOUN
ijassa-1115	115	17	vector	vector	NOUN
ijassa-1115	115	18	.	.	PUNCT
ijassa-1115	116	1	2.4.3	2.4.3	NUM
ijassa-1115	116	2	logistic	logistic	ADJ
ijassa-1115	116	3	regression	regression	NOUN
ijassa-1115	116	4	there	there	PRON
ijassa-1115	116	5	are	be	VERB
ijassa-1115	116	6	significant	significant	ADJ
ijassa-1115	116	7	similarities	similarity	NOUN
ijassa-1115	116	8	between	between	ADP
ijassa-1115	116	9	logistic	logistic	ADJ
ijassa-1115	116	10	regression	regression	NOUN
ijassa-1115	116	11	and	and	CCONJ
ijassa-1115	116	12	linear	linear	ADJ
ijassa-1115	116	13	regression	regression	NOUN
ijassa-1115	116	14	.	.	PUNCT
ijassa-1115	117	1	nevertheless	nevertheless	ADV
ijassa-1115	117	2	,	,	PUNCT
ijassa-1115	117	3	their	their	PRON
ijassa-1115	117	4	intended	intend	VERB
ijassa-1115	117	5	application	application	NOUN
ijassa-1115	117	6	remains	remain	VERB
ijassa-1115	117	7	the	the	DET
ijassa-1115	117	8	primary	primary	ADJ
ijassa-1115	117	9	distinction	distinction	NOUN
ijassa-1115	117	10	.	.	PUNCT
ijassa-1115	118	1	while	while	SCONJ
ijassa-1115	118	2	logistic	logistic	ADJ
ijassa-1115	118	3	regression	regression	NOUN
ijassa-1115	118	4	is	be	AUX
ijassa-1115	118	5	utilized	utilize	VERB
ijassa-1115	118	6	for	for	ADP
ijassa-1115	118	7	classification	classification	NOUN
ijassa-1115	118	8	tasks	task	NOUN
ijassa-1115	118	9	,	,	PUNCT
ijassa-1115	118	10	linear	linear	ADJ
ijassa-1115	118	11	regression	regression	NOUN
ijassa-1115	118	12	methods	method	NOUN
ijassa-1115	118	13	are	be	AUX
ijassa-1115	118	14	employed	employ	VERB
ijassa-1115	118	15	for	for	ADP
ijassa-1115	118	16	value	value	NOUN
ijassa-1115	118	17	prediction	prediction	NOUN
ijassa-1115	118	18	.	.	PUNCT
ijassa-1115	119	1	let	let	AUX
ijassa-1115	119	2	be	be	AUX
ijassa-1115	119	3	a	a	DET
ijassa-1115	119	4	binary	binary	ADJ
ijassa-1115	119	5	outcome	outcome	NOUN
ijassa-1115	119	6	from	from	ADP
ijassa-1115	119	7	bernoulli	bernoulli	NOUN
ijassa-1115	119	8	with	with	ADP
ijassa-1115	119	9	.	.	PUNCT
ijassa-1115	120	1	the	the	DET
ijassa-1115	120	2	logistic	logistic	ADJ
ijassa-1115	120	3	regression	regression	NOUN
ijassa-1115	120	4	model	model	NOUN
ijassa-1115	120	5	can	can	AUX
ijassa-1115	120	6	be	be	AUX
ijassa-1115	120	7	defined	define	VERB
ijassa-1115	120	8	as	as	ADP
ijassa-1115	120	9	:	:	PUNCT
ijassa-1115	120	10	2.5	2.5	NUM
ijassa-1115	120	11	performance	performance	NOUN
ijassa-1115	120	12	evaluation	evaluation	NOUN
ijassa-1115	120	13	we	we	PRON
ijassa-1115	120	14	evaluate	evaluate	VERB
ijassa-1115	120	15	the	the	DET
ijassa-1115	120	16	machine	machine	NOUN
ijassa-1115	120	17	learning	learn	VERB
ijassa-1115	120	18	methods	method	NOUN
ijassa-1115	120	19	for	for	ADP
ijassa-1115	120	20	classification	classification	NOUN
ijassa-1115	120	21	based	base	VERB
ijassa-1115	120	22	on	on	ADP
ijassa-1115	120	23	the	the	DET
ijassa-1115	120	24	following	follow	VERB
ijassa-1115	120	25	criteria	criterion	NOUN
ijassa-1115	120	26	.	.	PUNCT
ijassa-1115	121	1	technique	technique	NOUN
ijassa-1115	121	2	names	name	NOUN
ijassa-1115	121	3	formula	formula	NOUN
ijassa-1115	121	4	accuracy	accuracy	NOUN
ijassa-1115	121	5	=	=	SYM
ijassa-1115	121	6	precision	precision	NOUN
ijassa-1115	121	7	=	=	SYM
ijassa-1115	121	8	sensitivity	sensitivity	NOUN
ijassa-1115	121	9	/	/	SYM
ijassa-1115	121	10	recall	recall	NOUN
ijassa-1115	121	11	=	=	SYM
ijassa-1115	121	12	specificity	specificity	NOUN
ijassa-1115	121	13	=	=	SYM
ijassa-1115	121	14	f1	f1	NOUN
ijassa-1115	121	15	-	-	PUNCT
ijassa-1115	121	16	score	score	NOUN
ijassa-1115	121	17	=	=	NOUN
ijassa-1115	121	18	3	3	X
ijassa-1115	121	19	.	.	NOUN
ijassa-1115	121	20	results	result	NOUN
ijassa-1115	121	21	and	and	CCONJ
ijassa-1115	121	22	discussion	discussion	NOUN
ijassa-1115	121	23	to	to	PART
ijassa-1115	121	24	test	test	VERB
ijassa-1115	121	25	the	the	DET
ijassa-1115	121	26	three	three	NUM
ijassa-1115	121	27	machine	machine	NOUN
ijassa-1115	121	28	learning	learn	VERB
ijassa-1115	121	29	classification	classification	NOUN
ijassa-1115	121	30	algorithms	algorithm	NOUN
ijassa-1115	121	31	and	and	CCONJ
ijassa-1115	121	32	one	one	NUM
ijassa-1115	121	33	hybrid	hybrid	NOUN
ijassa-1115	121	34	model	model	NOUN
ijassa-1115	121	35	to	to	PART
ijassa-1115	121	36	predict	predict	VERB
ijassa-1115	121	37	the	the	DET
ijassa-1115	121	38	survival	survival	NOUN
ijassa-1115	121	39	status	status	NOUN
ijassa-1115	121	40	of	of	ADP
ijassa-1115	121	41	patients	patient	NOUN
ijassa-1115	121	42	infected	infect	VERB
ijassa-1115	121	43	with	with	ADP
ijassa-1115	121	44	coronavirus	coronavirus	NOUN
ijassa-1115	121	45	,	,	PUNCT
ijassa-1115	121	46	we	we	PRON
ijassa-1115	121	47	conducted	conduct	VERB
ijassa-1115	121	48	several	several	ADJ
ijassa-1115	121	49	analyses	analysis	NOUN
ijassa-1115	121	50	.	.	PUNCT
ijassa-1115	122	1	the	the	DET
ijassa-1115	122	2	prerequisites	prerequisite	NOUN
ijassa-1115	122	3	for	for	ADP
ijassa-1115	122	4	machine	machine	NOUN
ijassa-1115	122	5	learning	learn	VERB
ijassa-1115	122	6	algorithms	algorithm	NOUN
ijassa-1115	122	7	'	'	PART
ijassa-1115	122	8	specialized	specialized	ADJ
ijassa-1115	122	9	performance	performance	NOUN
ijassa-1115	122	10	evaluation	evaluation	NOUN
ijassa-1115	122	11	are	be	AUX
ijassa-1115	122	12	shown	show	VERB
ijassa-1115	122	13	in	in	ADP
ijassa-1115	122	14	table	table	NOUN
ijassa-1115	122	15	3.1	3.1	NUM
ijassa-1115	122	16	.	.	PUNCT
ijassa-1115	122	17	table	table	NOUN
ijassa-1115	122	18	3.1	3.1	NUM
ijassa-1115	122	19	.	.	PUNCT
ijassa-1115	122	20	performance	performance	NOUN
ijassa-1115	122	21	measurements	measurement	NOUN
ijassa-1115	122	22	for	for	ADP
ijassa-1115	122	23	classification	classification	NOUN
ijassa-1115	122	24	technique	technique	NOUN
ijassa-1115	122	25	algorithm	algorithm	NOUN
ijassa-1115	122	26	accuracy	accuracy	NOUN
ijassa-1115	122	27	sensitivity	sensitivity	NOUN
ijassa-1115	122	28	specificity	specificity	NOUN
ijassa-1115	122	29	precision	precision	NOUN
ijassa-1115	122	30	f1	f1	NOUN
ijassa-1115	122	31	score	score	NOUN
ijassa-1115	122	32	auc	auc	NOUN
ijassa-1115	123	1	rf	rf	VERB
ijassa-1115	123	2	0.9462	0.9462	NUM
ijassa-1115	123	3	0.6923	0.6923	NUM
ijassa-1115	123	4	0.9875	0.9875	NUM
ijassa-1115	123	5	0.9875	0.9875	NUM
ijassa-1115	123	6	0.8432	0.8432	NUM
ijassa-1115	123	7	0.9514	0.9514	NUM
ijassa-1115	123	8	word	word	NOUN
ijassa-1115	123	9	template	template	NOUN
ijassa-1115	123	10	for	for	ADP
ijassa-1115	123	11	assa	assa	NOUN
ijassa-1115	123	12	manuscript	manuscript	NOUN
ijassa-1115	123	13	153	153	NUM
ijassa-1115	123	14	copyright	copyright	NOUN
ijassa-1115	123	15	©	©	PROPN
ijassa-1115	123	16	2023	2023	NUM
ijassa-1115	123	17	assa	assa	NOUN
ijassa-1115	123	18	.	.	PUNCT
ijassa-1115	124	1	adv	adv	PROPN
ijassa-1115	124	2	.	.	PUNCT
ijassa-1115	125	1	in	in	ADP
ijassa-1115	125	2	systems	system	NOUN
ijassa-1115	125	3	science	science	NOUN
ijassa-1115	125	4	and	and	CCONJ
ijassa-1115	125	5	appl	appl	NOUN
ijassa-1115	125	6	.	.	PUNCT
ijassa-1115	126	1	(	(	PUNCT
ijassa-1115	126	2	2024	2024	NUM
ijassa-1115	126	3	)	)	PUNCT
ijassa-1115	126	4	svm	svm	VERB
ijassa-1115	126	5	0.9355	0.9355	NUM
ijassa-1115	127	1	0.7692	0.7692	NUM
ijassa-1115	127	2	0.9625	0.9625	NUM
ijassa-1115	127	3	0.9625	0.9625	NUM
ijassa-1115	127	4	0.8449	0.8449	NUM
ijassa-1115	127	5	0.8683	0.8683	NUM
ijassa-1115	127	6	lr	lr	VERB
ijassa-1115	127	7	0.7634	0.7634	NUM
ijassa-1115	127	8	0.1538	0.1538	NUM
ijassa-1115	127	9	0.8625	0.8625	NUM
ijassa-1115	127	10	0.8625	0.8625	NUM
ijassa-1115	127	11	0.2611	0.2611	NUM
ijassa-1115	127	12	0.8587	0.8587	NUM
ijassa-1115	127	13	hybrid	hybrid	NOUN
ijassa-1115	127	14	0.9785	0.9785	NUM
ijassa-1115	127	15	0.8462	0.8462	NUM
ijassa-1115	127	16	1.0000	1.0000	NUM
ijassa-1115	127	17	1.0000	1.0000	NUM
ijassa-1115	127	18	0.9167	0.9167	NUM
ijassa-1115	127	19	0.9793	0.9793	NUM
ijassa-1115	127	20	the	the	DET
ijassa-1115	127	21	results	result	NOUN
ijassa-1115	127	22	of	of	ADP
ijassa-1115	127	23	the	the	DET
ijassa-1115	127	24	performance	performance	NOUN
ijassa-1115	127	25	evaluations	evaluation	NOUN
ijassa-1115	127	26	for	for	ADP
ijassa-1115	127	27	the	the	DET
ijassa-1115	127	28	three	three	NUM
ijassa-1115	127	29	machine	machine	NOUN
ijassa-1115	127	30	learning	learning	NOUN
ijassa-1115	127	31	methods	method	NOUN
ijassa-1115	127	32	used	use	VERB
ijassa-1115	127	33	to	to	PART
ijassa-1115	127	34	predict	predict	VERB
ijassa-1115	127	35	survival	survival	NOUN
ijassa-1115	127	36	are	be	AUX
ijassa-1115	127	37	shown	show	VERB
ijassa-1115	127	38	in	in	ADP
ijassa-1115	127	39	table	table	NOUN
ijassa-1115	127	40	3.1	3.1	NUM
ijassa-1115	127	41	.	.	PUNCT
ijassa-1115	128	1	it	it	PRON
ijassa-1115	128	2	also	also	ADV
ijassa-1115	128	3	explains	explain	VERB
ijassa-1115	128	4	how	how	SCONJ
ijassa-1115	128	5	a	a	DET
ijassa-1115	128	6	suggested	suggest	VERB
ijassa-1115	128	7	hybrid	hybrid	ADJ
ijassa-1115	128	8	model	model	NOUN
ijassa-1115	128	9	was	be	AUX
ijassa-1115	128	10	developed	develop	VERB
ijassa-1115	128	11	.	.	PUNCT
ijassa-1115	129	1	out	out	ADP
ijassa-1115	129	2	of	of	ADP
ijassa-1115	129	3	the	the	DET
ijassa-1115	129	4	three	three	NUM
ijassa-1115	129	5	machine	machine	NOUN
ijassa-1115	129	6	learning	learning	NOUN
ijassa-1115	129	7	methods	method	NOUN
ijassa-1115	129	8	,	,	PUNCT
ijassa-1115	129	9	random	random	ADJ
ijassa-1115	129	10	forest	forest	NOUN
ijassa-1115	129	11	performs	perform	VERB
ijassa-1115	129	12	the	the	DET
ijassa-1115	129	13	best	good	ADJ
ijassa-1115	129	14	with	with	ADP
ijassa-1115	129	15	an	an	DET
ijassa-1115	129	16	accuracy	accuracy	NOUN
ijassa-1115	129	17	of	of	ADP
ijassa-1115	129	18	94.62	94.62	NUM
ijassa-1115	129	19	%	%	NOUN
ijassa-1115	129	20	,	,	PUNCT
ijassa-1115	129	21	while	while	SCONJ
ijassa-1115	129	22	logistic	logistic	ADJ
ijassa-1115	129	23	regression	regression	NOUN
ijassa-1115	129	24	has	have	VERB
ijassa-1115	129	25	the	the	DET
ijassa-1115	129	26	lowest	low	ADJ
ijassa-1115	129	27	accuracy	accuracy	NOUN
ijassa-1115	129	28	at	at	ADP
ijassa-1115	129	29	76.34	76.34	NUM
ijassa-1115	129	30	%	%	NOUN
ijassa-1115	129	31	.	.	PUNCT
ijassa-1115	130	1	we	we	PRON
ijassa-1115	130	2	evaluate	evaluate	VERB
ijassa-1115	130	3	the	the	DET
ijassa-1115	130	4	performance	performance	NOUN
ijassa-1115	130	5	of	of	ADP
ijassa-1115	130	6	three	three	NUM
ijassa-1115	130	7	machine	machine	NOUN
ijassa-1115	130	8	learning	learn	VERB
ijassa-1115	130	9	algorithms	algorithm	NOUN
ijassa-1115	130	10	using	use	VERB
ijassa-1115	130	11	the	the	DET
ijassa-1115	130	12	current	current	ADJ
ijassa-1115	130	13	standards	standard	NOUN
ijassa-1115	130	14	,	,	PUNCT
ijassa-1115	130	15	and	and	CCONJ
ijassa-1115	130	16	the	the	DET
ijassa-1115	130	17	random	random	ADJ
ijassa-1115	130	18	forest	forest	NOUN
ijassa-1115	130	19	model	model	NOUN
ijassa-1115	130	20	consistently	consistently	ADV
ijassa-1115	130	21	outperforms	outperform	VERB
ijassa-1115	130	22	the	the	DET
ijassa-1115	130	23	other	other	ADJ
ijassa-1115	130	24	two	two	NUM
ijassa-1115	130	25	.	.	PUNCT
ijassa-1115	131	1	however	however	ADV
ijassa-1115	131	2	,	,	PUNCT
ijassa-1115	131	3	compared	compare	VERB
ijassa-1115	131	4	to	to	ADP
ijassa-1115	131	5	random	random	ADJ
ijassa-1115	131	6	forest	forest	NOUN
ijassa-1115	131	7	,	,	PUNCT
ijassa-1115	131	8	our	our	PRON
ijassa-1115	131	9	hybrid	hybrid	NOUN
ijassa-1115	131	10	model	model	NOUN
ijassa-1115	131	11	produced	produce	VERB
ijassa-1115	131	12	superior	superior	ADJ
ijassa-1115	131	13	accuracy	accuracy	NOUN
ijassa-1115	131	14	(	(	PUNCT
ijassa-1115	131	15	97.85	97.85	NUM
ijassa-1115	131	16	%	%	NOUN
ijassa-1115	131	17	)	)	PUNCT
ijassa-1115	131	18	.	.	PUNCT
ijassa-1115	132	1	out	out	ADP
ijassa-1115	132	2	of	of	ADP
ijassa-1115	132	3	all	all	DET
ijassa-1115	132	4	the	the	DET
ijassa-1115	132	5	machine	machine	NOUN
ijassa-1115	132	6	learning	learn	VERB
ijassa-1115	132	7	techniques	technique	NOUN
ijassa-1115	132	8	,	,	PUNCT
ijassa-1115	132	9	our	our	PRON
ijassa-1115	132	10	suggested	suggest	VERB
ijassa-1115	132	11	hybrid	hybrid	ADJ
ijassa-1115	132	12	model	model	NOUN
ijassa-1115	132	13	produced	produce	VERB
ijassa-1115	132	14	better	well	ADJ
ijassa-1115	132	15	results	result	NOUN
ijassa-1115	132	16	when	when	SCONJ
ijassa-1115	132	17	compared	compare	VERB
ijassa-1115	132	18	to	to	ADP
ijassa-1115	132	19	the	the	DET
ijassa-1115	132	20	other	other	ADJ
ijassa-1115	132	21	evaluation	evaluation	NOUN
ijassa-1115	132	22	criteria	criterion	NOUN
ijassa-1115	132	23	.	.	PUNCT
ijassa-1115	133	1	we	we	PRON
ijassa-1115	133	2	also	also	ADV
ijassa-1115	133	3	use	use	VERB
ijassa-1115	133	4	the	the	DET
ijassa-1115	133	5	roc	roc	PROPN
ijassa-1115	133	6	curve	curve	NOUN
ijassa-1115	133	7	to	to	PART
ijassa-1115	133	8	illustrate	illustrate	VERB
ijassa-1115	133	9	the	the	DET
ijassa-1115	133	10	performance	performance	NOUN
ijassa-1115	133	11	of	of	ADP
ijassa-1115	133	12	the	the	DET
ijassa-1115	133	13	various	various	ADJ
ijassa-1115	133	14	ml	ml	NOUN
ijassa-1115	133	15	methods	method	NOUN
ijassa-1115	133	16	.	.	PUNCT
ijassa-1115	134	1	the	the	DET
ijassa-1115	134	2	discriminant	discriminant	ADJ
ijassa-1115	134	3	power	power	NOUN
ijassa-1115	134	4	in	in	ADP
ijassa-1115	134	5	four	four	NUM
ijassa-1115	134	6	distinct	distinct	ADJ
ijassa-1115	134	7	algorithms	algorithm	NOUN
ijassa-1115	134	8	is	be	AUX
ijassa-1115	134	9	shown	show	VERB
ijassa-1115	134	10	in	in	ADP
ijassa-1115	134	11	graph	graph	NOUN
ijassa-1115	134	12	2	2	NUM
ijassa-1115	134	13	for	for	ADP
ijassa-1115	134	14	various	various	ADJ
ijassa-1115	134	15	colors	color	NOUN
ijassa-1115	134	16	.	.	PUNCT
ijassa-1115	135	1	the	the	DET
ijassa-1115	135	2	color	color	NOUN
ijassa-1115	135	3	black	black	NOUN
ijassa-1115	135	4	represents	represent	VERB
ijassa-1115	135	5	our	our	PRON
ijassa-1115	135	6	suggested	suggest	VERB
ijassa-1115	135	7	hybrid	hybrid	ADJ
ijassa-1115	135	8	model	model	NOUN
ijassa-1115	135	9	.	.	PUNCT
ijassa-1115	136	1	our	our	PRON
ijassa-1115	136	2	suggested	suggest	VERB
ijassa-1115	136	3	model	model	NOUN
ijassa-1115	136	4	has	have	VERB
ijassa-1115	136	5	a	a	DET
ijassa-1115	136	6	strong	strong	ADJ
ijassa-1115	136	7	ability	ability	NOUN
ijassa-1115	136	8	to	to	PART
ijassa-1115	136	9	discriminate	discriminate	VERB
ijassa-1115	136	10	.	.	PUNCT
ijassa-1115	137	1	the	the	DET
ijassa-1115	137	2	suggested	suggest	VERB
ijassa-1115	137	3	model	model	NOUN
ijassa-1115	137	4	has	have	VERB
ijassa-1115	137	5	an	an	DET
ijassa-1115	137	6	auc	auc	NOUN
ijassa-1115	137	7	value	value	NOUN
ijassa-1115	137	8	of.9793	of.9793	PROPN
ijassa-1115	137	9	,	,	PUNCT
ijassa-1115	137	10	which	which	PRON
ijassa-1115	137	11	indicates	indicate	VERB
ijassa-1115	137	12	that	that	SCONJ
ijassa-1115	137	13	the	the	DET
ijassa-1115	137	14	predictions	prediction	NOUN
ijassa-1115	137	15	of	of	ADP
ijassa-1115	137	16	the	the	DET
ijassa-1115	137	17	proposed	propose	VERB
ijassa-1115	137	18	hybrid	hybrid	NOUN
ijassa-1115	137	19	model	model	NOUN
ijassa-1115	137	20	are	be	AUX
ijassa-1115	137	21	97.93	97.93	NUM
ijassa-1115	137	22	%	%	NOUN
ijassa-1115	137	23	accurate	accurate	ADJ
ijassa-1115	137	24	,	,	PUNCT
ijassa-1115	137	25	according	accord	VERB
ijassa-1115	137	26	to	to	ADP
ijassa-1115	137	27	table	table	NOUN
ijassa-1115	137	28	3.1	3.1	NUM
ijassa-1115	137	29	's	's	PART
ijassa-1115	137	30	auc	auc	NOUN
ijassa-1115	137	31	value	value	NOUN
ijassa-1115	137	32	.	.	PUNCT
ijassa-1115	138	1	if	if	SCONJ
ijassa-1115	138	2	we	we	PRON
ijassa-1115	138	3	take	take	VERB
ijassa-1115	138	4	into	into	ADP
ijassa-1115	138	5	account	account	NOUN
ijassa-1115	138	6	logistic	logistic	ADJ
ijassa-1115	138	7	regression	regression	NOUN
ijassa-1115	138	8	as	as	ADV
ijassa-1115	138	9	well	well	ADV
ijassa-1115	138	10	,	,	PUNCT
ijassa-1115	138	11	the	the	DET
ijassa-1115	138	12	auc=.8587	auc=.8587	PROPN
ijassa-1115	138	13	indicates	indicate	VERB
ijassa-1115	138	14	that	that	SCONJ
ijassa-1115	138	15	logistic	logistic	ADJ
ijassa-1115	138	16	regression	regression	NOUN
ijassa-1115	138	17	accurately	accurately	ADV
ijassa-1115	138	18	predicts	predict	VERB
ijassa-1115	138	19	85.87	85.87	NUM
ijassa-1115	138	20	%	%	NOUN
ijassa-1115	138	21	of	of	ADP
ijassa-1115	138	22	patients	patient	NOUN
ijassa-1115	138	23	with	with	ADP
ijassa-1115	138	24	corona	corona	NOUN
ijassa-1115	138	25	infection	infection	NOUN
ijassa-1115	138	26	who	who	PRON
ijassa-1115	138	27	do	do	AUX
ijassa-1115	138	28	not	not	PART
ijassa-1115	138	29	survive	survive	VERB
ijassa-1115	138	30	.	.	PUNCT
ijassa-1115	139	1	fig	fig	NOUN
ijassa-1115	139	2	.	.	PUNCT
ijassa-1115	140	1	2	2	X
ijassa-1115	140	2	.	.	X
ijassa-1115	140	3	roc	roc	PROPN
ijassa-1115	140	4	curve	curve	NOUN
ijassa-1115	140	5	for	for	ADP
ijassa-1115	140	6	different	different	ADJ
ijassa-1115	140	7	machine	machine	NOUN
ijassa-1115	140	8	learning	learn	VERB
ijassa-1115	140	9	algorithm	algorithm	NOUN
ijassa-1115	140	10	compare	compare	VERB
ijassa-1115	140	11	to	to	ADP
ijassa-1115	140	12	hybrid	hybrid	ADJ
ijassa-1115	140	13	model	model	NOUN
ijassa-1115	140	14	4	4	NUM
ijassa-1115	140	15	.	.	PUNCT
ijassa-1115	140	16	conclusion	conclusion	NOUN
ijassa-1115	140	17	after	after	ADP
ijassa-1115	140	18	examining	examine	VERB
ijassa-1115	140	19	the	the	DET
ijassa-1115	140	20	trial	trial	NOUN
ijassa-1115	140	21	data	datum	NOUN
ijassa-1115	140	22	,	,	PUNCT
ijassa-1115	140	23	we	we	PRON
ijassa-1115	140	24	came	come	VERB
ijassa-1115	140	25	to	to	ADP
ijassa-1115	140	26	the	the	DET
ijassa-1115	140	27	conclusion	conclusion	NOUN
ijassa-1115	140	28	that	that	SCONJ
ijassa-1115	140	29	our	our	PRON
ijassa-1115	140	30	suggested	suggest	VERB
ijassa-1115	140	31	hybrid	hybrid	ADJ
ijassa-1115	140	32	model	model	NOUN
ijassa-1115	140	33	achieves	achieve	VERB
ijassa-1115	140	34	the	the	DET
ijassa-1115	140	35	best	good	ADJ
ijassa-1115	140	36	accuracy	accuracy	NOUN
ijassa-1115	140	37	,	,	PUNCT
ijassa-1115	140	38	97.85	97.85	NUM
ijassa-1115	140	39	%	%	NOUN
ijassa-1115	140	40	,	,	PUNCT
ijassa-1115	140	41	and	and	CCONJ
ijassa-1115	140	42	auc	auc	NOUN
ijassa-1115	140	43	,	,	PUNCT
ijassa-1115	140	44	97.93	97.93	NUM
ijassa-1115	140	45	%	%	NOUN
ijassa-1115	140	46	.	.	PUNCT
ijassa-1115	141	1	as	as	ADP
ijassa-1115	141	2	a	a	DET
ijassa-1115	141	3	result	result	NOUN
ijassa-1115	141	4	,	,	PUNCT
ijassa-1115	141	5	our	our	PRON
ijassa-1115	141	6	suggested	suggest	VERB
ijassa-1115	141	7	approach	approach	NOUN
ijassa-1115	141	8	can	can	AUX
ijassa-1115	141	9	identify	identify	VERB
ijassa-1115	141	10	corona	corona	NOUN
ijassa-1115	141	11	-	-	PUNCT
ijassa-1115	141	12	infected	infect	VERB
ijassa-1115	141	13	patients	patient	NOUN
ijassa-1115	141	14	who	who	PRON
ijassa-1115	141	15	do	do	AUX
ijassa-1115	141	16	not	not	PART
ijassa-1115	141	17	survive	survive	VERB
ijassa-1115	141	18	more	more	ADV
ijassa-1115	141	19	precisely	precisely	ADV
ijassa-1115	141	20	.	.	PUNCT
ijassa-1115	142	1	in	in	ADP
ijassa-1115	142	2	terms	term	NOUN
ijassa-1115	142	3	of	of	ADP
ijassa-1115	142	4	classification	classification	NOUN
ijassa-1115	142	5	accuracy	accuracy	NOUN
ijassa-1115	142	6	or	or	CCONJ
ijassa-1115	142	7	area	area	NOUN
ijassa-1115	142	8	under	under	ADP
ijassa-1115	142	9	the	the	DET
ijassa-1115	142	10	roc	roc	PROPN
ijassa-1115	142	11	curve	curve	NOUN
ijassa-1115	142	12	,	,	PUNCT
ijassa-1115	142	13	our	our	PRON
ijassa-1115	142	14	hybrid	hybrid	NOUN
ijassa-1115	142	15	model	model	NOUN
ijassa-1115	142	16	performed	perform	VERB
ijassa-1115	142	17	the	the	DET
ijassa-1115	142	18	best	good	ADJ
ijassa-1115	142	19	.	.	PUNCT
ijassa-1115	143	1	the	the	DET
ijassa-1115	143	2	suggested	suggest	VERB
ijassa-1115	143	3	hybrid	hybrid	ADJ
ijassa-1115	143	4	model	model	NOUN
ijassa-1115	143	5	's	's	PART
ijassa-1115	143	6	auc	auc	ADJ
ijassa-1115	143	7	score	score	NOUN
ijassa-1115	143	8	is	be	AUX
ijassa-1115	143	9	close	close	ADJ
ijassa-1115	143	10	to	to	ADP
ijassa-1115	143	11	1	1	NUM
ijassa-1115	143	12	,	,	PUNCT
ijassa-1115	143	13	indicating	indicate	VERB
ijassa-1115	143	14	a	a	DET
ijassa-1115	143	15	more	more	ADV
ijassa-1115	143	16	accurate	accurate	ADJ
ijassa-1115	143	17	prediction	prediction	NOUN
ijassa-1115	143	18	.	.	PUNCT
ijassa-1115	144	1	our	our	PRON
ijassa-1115	144	2	suggested	suggest	VERB
ijassa-1115	144	3	hybrid	hybrid	ADJ
ijassa-1115	144	4	model	model	NOUN
ijassa-1115	144	5	appears	appear	VERB
ijassa-1115	144	6	to	to	PART
ijassa-1115	144	7	perform	perform	VERB
ijassa-1115	144	8	better	well	ADV
ijassa-1115	144	9	across	across	ADP
ijassa-1115	144	10	the	the	DET
ijassa-1115	144	11	board	board	NOUN
ijassa-1115	144	12	for	for	ADP
ijassa-1115	144	13	all	all	DET
ijassa-1115	144	14	performance	performance	NOUN
ijassa-1115	144	15	assessment	assessment	NOUN
ijassa-1115	144	16	factors	factor	NOUN
ijassa-1115	144	17	,	,	PUNCT
ijassa-1115	144	18	according	accord	VERB
ijassa-1115	144	19	to	to	ADP
ijassa-1115	144	20	the	the	DET
ijassa-1115	144	21	experimental	experimental	ADJ
ijassa-1115	144	22	results	result	NOUN
ijassa-1115	144	23	.	.	PUNCT
ijassa-1115	145	1	we	we	PRON
ijassa-1115	145	2	observe	observe	VERB
ijassa-1115	145	3	that	that	SCONJ
ijassa-1115	145	4	the	the	DET
ijassa-1115	145	5	suggested	suggest	VERB
ijassa-1115	145	6	154	154	NUM
ijassa-1115	145	7	i.	i.	PROPN
ijassa-1115	145	8	petrov	petrov	PROPN
ijassa-1115	145	9	,	,	PUNCT
ijassa-1115	145	10	j.f	j.f	PROPN
ijassa-1115	145	11	.	.	PROPN
ijassa-1115	145	12	doe	doe	NOUN
ijassa-1115	145	13	copyright	copyright	NOUN
ijassa-1115	145	14	©	©	PROPN
ijassa-1115	145	15	2023	2023	NUM
ijassa-1115	145	16	assa	assa	PROPN
ijassa-1115	145	17	adv	adv	PROPN
ijassa-1115	145	18	.	.	PUNCT
ijassa-1115	146	1	in	in	ADP
ijassa-1115	146	2	systems	system	NOUN
ijassa-1115	146	3	science	science	NOUN
ijassa-1115	146	4	and	and	CCONJ
ijassa-1115	146	5	appl	appl	NOUN
ijassa-1115	146	6	.	.	PUNCT
ijassa-1115	147	1	(	(	PUNCT
ijassa-1115	147	2	2023	2023	NUM
ijassa-1115	147	3	)	)	PUNCT
ijassa-1115	147	4	model	model	NOUN
ijassa-1115	147	5	with	with	ADP
ijassa-1115	147	6	the	the	DET
ijassa-1115	147	7	lowest	low	ADJ
ijassa-1115	147	8	error	error	NOUN
ijassa-1115	147	9	has	have	VERB
ijassa-1115	147	10	the	the	DET
ijassa-1115	147	11	highest	high	ADJ
ijassa-1115	147	12	accuracy	accuracy	NOUN
ijassa-1115	147	13	.	.	PUNCT
ijassa-1115	148	1	as	as	SCONJ
ijassa-1115	148	2	the	the	DET
ijassa-1115	148	3	literature	literature	NOUN
ijassa-1115	148	4	study	study	NOUN
ijassa-1115	148	5	has	have	AUX
ijassa-1115	148	6	shown	show	VERB
ijassa-1115	148	7	,	,	PUNCT
ijassa-1115	148	8	we	we	PRON
ijassa-1115	148	9	conclude	conclude	VERB
ijassa-1115	148	10	that	that	SCONJ
ijassa-1115	148	11	the	the	DET
ijassa-1115	148	12	criteria	criterion	NOUN
ijassa-1115	148	13	of	of	ADP
ijassa-1115	148	14	a	a	DET
ijassa-1115	148	15	predictive	predictive	ADJ
ijassa-1115	148	16	model	model	NOUN
ijassa-1115	148	17	for	for	ADP
ijassa-1115	148	18	corona	corona	NOUN
ijassa-1115	148	19	-	-	PUNCT
ijassa-1115	148	20	infected	infect	VERB
ijassa-1115	148	21	patient	patient	ADJ
ijassa-1115	148	22	survival	survival	NOUN
ijassa-1115	148	23	prediction	prediction	NOUN
ijassa-1115	148	24	has	have	AUX
ijassa-1115	148	25	only	only	ADV
ijassa-1115	148	26	been	be	AUX
ijassa-1115	148	27	partially	partially	ADV
ijassa-1115	148	28	met	meet	VERB
ijassa-1115	148	29	.	.	PUNCT
ijassa-1115	149	1	in	in	ADP
ijassa-1115	149	2	conclusion	conclusion	NOUN
ijassa-1115	149	3	,	,	PUNCT
ijassa-1115	149	4	we	we	PRON
ijassa-1115	149	5	can	can	AUX
ijassa-1115	149	6	state	state	VERB
ijassa-1115	149	7	that	that	SCONJ
ijassa-1115	149	8	,	,	PUNCT
ijassa-1115	149	9	when	when	SCONJ
ijassa-1115	149	10	compared	compare	VERB
ijassa-1115	149	11	to	to	ADP
ijassa-1115	149	12	the	the	DET
ijassa-1115	149	13	three	three	NUM
ijassa-1115	149	14	machine	machine	NOUN
ijassa-1115	149	15	learning	learning	NOUN
ijassa-1115	149	16	approaches	approach	NOUN
ijassa-1115	149	17	,	,	PUNCT
ijassa-1115	149	18	our	our	PRON
ijassa-1115	149	19	suggested	suggest	VERB
ijassa-1115	149	20	hybrid	hybrid	NOUN
ijassa-1115	149	21	model	model	NOUN
ijassa-1115	149	22	is	be	AUX
ijassa-1115	149	23	the	the	DET
ijassa-1115	149	24	most	most	ADV
ijassa-1115	149	25	predictive	predictive	ADJ
ijassa-1115	149	26	model	model	NOUN
ijassa-1115	149	27	for	for	ADP
ijassa-1115	149	28	all	all	DET
ijassa-1115	149	29	machine	machine	NOUN
ijassa-1115	149	30	learning	learning	NOUN
ijassa-1115	149	31	methods	method	NOUN
ijassa-1115	149	32	and	and	CCONJ
ijassa-1115	149	33	has	have	VERB
ijassa-1115	149	34	a	a	DET
ijassa-1115	149	35	lower	low	ADJ
ijassa-1115	149	36	classification	classification	NOUN
ijassa-1115	149	37	error	error	NOUN
ijassa-1115	149	38	.	.	PUNCT
ijassa-1115	150	1	acknowledgement	acknowledgement	NOUN
ijassa-1115	150	2	we	we	PRON
ijassa-1115	150	3	thank	thank	VERB
ijassa-1115	150	4	all	all	DET
ijassa-1115	150	5	the	the	DET
ijassa-1115	150	6	co	co	NOUN
ijassa-1115	150	7	-	-	NOUN
ijassa-1115	150	8	authors	author	NOUN
ijassa-1115	150	9	who	who	PRON
ijassa-1115	150	10	contributed	contribute	VERB
ijassa-1115	150	11	to	to	ADP
ijassa-1115	150	12	preparing	prepare	VERB
ijassa-1115	150	13	this	this	DET
ijassa-1115	150	14	manuscript	manuscript	NOUN
ijassa-1115	150	15	–	–	PUNCT
ijassa-1115	150	16	especially	especially	ADV
ijassa-1115	150	17	the	the	DET
ijassa-1115	150	18	author	author	NOUN
ijassa-1115	150	19	md	md	PROPN
ijassa-1115	150	20	.	.	PROPN
ijassa-1115	151	1	asadullah	asadullah	PROPN
ijassa-1115	151	2	has	have	AUX
ijassa-1115	151	3	does	do	VERB
ijassa-1115	151	4	analysis	analysis	NOUN
ijassa-1115	151	5	and	and	CCONJ
ijassa-1115	151	6	contributed	contribute	VERB
ijassa-1115	151	7	to	to	ADP
ijassa-1115	151	8	interpretation	interpretation	NOUN
ijassa-1115	151	9	.	.	PUNCT
ijassa-1115	152	1	secondly	secondly	ADV
ijassa-1115	152	2	md	md	PROPN
ijassa-1115	152	3	.	.	PROPN
ijassa-1115	152	4	murad	murad	PROPN
ijassa-1115	152	5	hossain	hossain	PROPN
ijassa-1115	152	6	prepared	prepare	VERB
ijassa-1115	152	7	an	an	DET
ijassa-1115	152	8	introduction	introduction	NOUN
ijassa-1115	152	9	and	and	CCONJ
ijassa-1115	152	10	contributed	contribute	VERB
ijassa-1115	152	11	to	to	ADP
ijassa-1115	152	12	overall	overall	ADJ
ijassa-1115	152	13	manuscript	manuscript	NOUN
ijassa-1115	152	14	writing	writing	NOUN
ijassa-1115	152	15	.	.	PUNCT
ijassa-1115	153	1	remaining	remain	VERB
ijassa-1115	153	2	co	co	NOUN
ijassa-1115	153	3	-	-	NOUN
ijassa-1115	153	4	authors	author	NOUN
ijassa-1115	153	5	help	help	VERB
ijassa-1115	153	6	us	we	PRON
ijassa-1115	153	7	reviewing	review	VERB
ijassa-1115	153	8	all	all	DET
ijassa-1115	153	9	write	write	NOUN
ijassa-1115	153	10	-	-	PUNCT
ijassa-1115	153	11	ups	up	NOUN
ijassa-1115	153	12	.	.	PUNCT
ijassa-1115	154	1	references	reference	NOUN
ijassa-1115	154	2	[	[	X
ijassa-1115	154	3	1	1	NUM
ijassa-1115	154	4	]	]	X
ijassa-1115	154	5	asadullah	asadullah	ADJ
ijassa-1115	154	6	,	,	PUNCT
ijassa-1115	154	7	m.	m.	NOUN
ijassa-1115	154	8	,	,	PUNCT
ijassa-1115	154	9	hossain	hossain	PROPN
ijassa-1115	154	10	,	,	PUNCT
ijassa-1115	154	11	m.	m.	NOUN
ijassa-1115	154	12	m.	m.	NOUN
ijassa-1115	154	13	,	,	PUNCT
ijassa-1115	154	14	rahaman	rahaman	NOUN
ijassa-1115	154	15	,	,	PUNCT
ijassa-1115	154	16	s.	s.	PROPN
ijassa-1115	154	17	,	,	PUNCT
ijassa-1115	154	18	amin	amin	PROPN
ijassa-1115	154	19	,	,	PUNCT
ijassa-1115	154	20	m.	m.	PROPN
ijassa-1115	154	21	s.	s.	PROPN
ijassa-1115	154	22	,	,	PUNCT
ijassa-1115	154	23	sumy	sumy	PROPN
ijassa-1115	154	24	,	,	PUNCT
ijassa-1115	154	25	m.	m.	NOUN
ijassa-1115	154	26	s.	s.	PROPN
ijassa-1115	154	27	a.	a.	PROPN
ijassa-1115	154	28	,	,	PUNCT
ijassa-1115	154	29	et	et	PROPN
ijassa-1115	154	30	al	al	PROPN
ijassa-1115	154	31	.	.	PROPN
ijassa-1115	155	1	(	(	PUNCT
ijassa-1115	155	2	2023	2023	NUM
ijassa-1115	155	3	)	)	PUNCT
ijassa-1115	155	4	.	.	PUNCT
ijassa-1115	156	1	evaluation	evaluation	NOUN
ijassa-1115	156	2	of	of	ADP
ijassa-1115	156	3	machine	machine	NOUN
ijassa-1115	156	4	learning	learn	VERB
ijassa-1115	156	5	techniques	technique	NOUN
ijassa-1115	156	6	for	for	ADP
ijassa-1115	156	7	hypertension	hypertension	NOUN
ijassa-1115	156	8	risk	risk	NOUN
ijassa-1115	156	9	prediction	prediction	NOUN
ijassa-1115	156	10	based	base	VERB
ijassa-1115	156	11	on	on	ADP
ijassa-1115	156	12	medical	medical	ADJ
ijassa-1115	156	13	data	datum	NOUN
ijassa-1115	156	14	in	in	ADP
ijassa-1115	156	15	bangladesh	bangladesh	PROPN
ijassa-1115	156	16	,	,	PUNCT
ijassa-1115	156	17	indonesian	indonesian	ADJ
ijassa-1115	156	18	journal	journal	NOUN
ijassa-1115	156	19	of	of	ADP
ijassa-1115	156	20	electrical	electrical	ADJ
ijassa-1115	156	21	engineering	engineering	NOUN
ijassa-1115	156	22	and	and	CCONJ
ijassa-1115	156	23	computer	computer	NOUN
ijassa-1115	156	24	science	science	NOUN
ijassa-1115	156	25	,	,	PUNCT
ijassa-1115	156	26	31(3	31(3	NUM
ijassa-1115	156	27	)	)	PUNCT
ijassa-1115	156	28	,	,	PUNCT
ijassa-1115	156	29	1794–1802	1794–1802	NUM
ijassa-1115	156	30	.	.	PUNCT
ijassa-1115	157	1	[	[	X
ijassa-1115	157	2	2	2	NUM
ijassa-1115	157	3	]	]	PUNCT
ijassa-1115	157	4	bandyopadhyay	bandyopadhyay	NOUN
ijassa-1115	157	5	,	,	PUNCT
ijassa-1115	157	6	s.	s.	PROPN
ijassa-1115	157	7	k.	k.	PROPN
ijassa-1115	157	8	&	&	CCONJ
ijassa-1115	157	9	dutta	dutta	PROPN
ijassa-1115	157	10	,	,	PUNCT
ijassa-1115	157	11	s.	s.	PROPN
ijassa-1115	157	12	(	(	PUNCT
ijassa-1115	157	13	2020	2020	NUM
ijassa-1115	157	14	)	)	PUNCT
ijassa-1115	157	15	.	.	PUNCT
ijassa-1115	158	1	machine	machine	NOUN
ijassa-1115	158	2	learning	learn	VERB
ijassa-1115	158	3	approach	approach	NOUN
ijassa-1115	158	4	for	for	ADP
ijassa-1115	158	5	confirmation	confirmation	NOUN
ijassa-1115	158	6	of	of	ADP
ijassa-1115	158	7	covid-19	covid-19	PROPN
ijassa-1115	158	8	cases	case	NOUN
ijassa-1115	158	9	:	:	PUNCT
ijassa-1115	158	10	positive	positive	ADJ
ijassa-1115	158	11	,	,	PUNCT
ijassa-1115	158	12	negative	negative	ADJ
ijassa-1115	158	13	,	,	PUNCT
ijassa-1115	158	14	death	death	NOUN
ijassa-1115	158	15	and	and	CCONJ
ijassa-1115	158	16	release	release	NOUN
ijassa-1115	158	17	,	,	PUNCT
ijassa-1115	158	18	iberoamerican	iberoamerican	ADJ
ijassa-1115	158	19	journal	journal	PROPN
ijassa-1115	158	20	of	of	ADP
ijassa-1115	158	21	medicine	medicine	NOUN
ijassa-1115	158	22	,	,	PUNCT
ijassa-1115	158	23	03	03	NUM
ijassa-1115	158	24	,	,	PUNCT
ijassa-1115	158	25	172–177	172–177	NUM
ijassa-1115	158	26	.	.	PUNCT
ijassa-1115	159	1	[	[	X
ijassa-1115	159	2	3	3	NUM
ijassa-1115	159	3	]	]	X
ijassa-1115	159	4	dandekar	dandekar	NOUN
ijassa-1115	159	5	,	,	PUNCT
ijassa-1115	159	6	r.	r.	PROPN
ijassa-1115	159	7	&	&	CCONJ
ijassa-1115	159	8	barbastathis	barbastathis	PROPN
ijassa-1115	159	9	,	,	PUNCT
ijassa-1115	159	10	g.	g.	PROPN
ijassa-1115	159	11	(	(	PUNCT
ijassa-1115	159	12	2020	2020	NUM
ijassa-1115	159	13	)	)	PUNCT
ijassa-1115	159	14	.	.	PUNCT
ijassa-1115	160	1	quantifying	quantify	VERB
ijassa-1115	160	2	the	the	DET
ijassa-1115	160	3	effect	effect	NOUN
ijassa-1115	160	4	of	of	ADP
ijassa-1115	160	5	quarantine	quarantine	NOUN
ijassa-1115	160	6	control	control	NOUN
ijassa-1115	160	7	in	in	ADP
ijassa-1115	160	8	covid-19	covid-19	PROPN
ijassa-1115	160	9	infectious	infectious	ADJ
ijassa-1115	160	10	spread	spread	NOUN
ijassa-1115	160	11	using	use	VERB
ijassa-1115	160	12	machine	machine	NOUN
ijassa-1115	160	13	learning	learning	NOUN
ijassa-1115	160	14	,	,	PUNCT
ijassa-1115	160	15	medrxiv	medrxiv	AUX
ijassa-1115	160	16	:	:	PUNCT
ijassa-1115	160	17	2020.04.03.20052084	2020.04.03.20052084	NOUN
ijassa-1115	160	18	,	,	PUNCT
ijassa-1115	160	19	[	[	X
ijassa-1115	160	20	online	online	X
ijassa-1115	160	21	]	]	X
ijassa-1115	160	22	.	.	PUNCT
ijassa-1115	161	1	available	available	ADJ
ijassa-1115	161	2	:	:	PUNCT
ijassa-1115	161	3	https://www.medrxiv.org/content/10.1101/	https://www.medrxiv.org/content/10.1101/	PROPN
ijassa-1115	161	4	2020.04.03.20052084v1	2020.04.03.20052084v1	NUM
ijassa-1115	161	5	.	.	PUNCT
ijassa-1115	162	1	[	[	X
ijassa-1115	162	2	4	4	NUM
ijassa-1115	162	3	]	]	X
ijassa-1115	162	4	fong	fong	PROPN
ijassa-1115	162	5	,	,	PUNCT
ijassa-1115	162	6	s.	s.	PROPN
ijassa-1115	162	7	j.	j.	PROPN
ijassa-1115	162	8	,	,	PUNCT
ijassa-1115	162	9	li	li	PROPN
ijassa-1115	162	10	,	,	PUNCT
ijassa-1115	162	11	g.	g.	PROPN
ijassa-1115	162	12	,	,	PUNCT
ijassa-1115	162	13	dey	dey	PROPN
ijassa-1115	162	14	,	,	PUNCT
ijassa-1115	162	15	n.	n.	NOUN
ijassa-1115	162	16	,	,	PUNCT
ijassa-1115	162	17	gonzalez	gonzalez	PROPN
ijassa-1115	162	18	-	-	PUNCT
ijassa-1115	162	19	crespo	crespo	PROPN
ijassa-1115	162	20	,	,	PUNCT
ijassa-1115	162	21	r.	r.	PROPN
ijassa-1115	162	22	&	&	CCONJ
ijassa-1115	162	23	herrera	herrera	PROPN
ijassa-1115	162	24	-	-	PUNCT
ijassa-1115	162	25	viedma	viedma	NOUN
ijassa-1115	162	26	,	,	PUNCT
ijassa-1115	162	27	e.	e.	PROPN
ijassa-1115	162	28	(	(	PUNCT
ijassa-1115	162	29	2020	2020	NUM
ijassa-1115	162	30	)	)	PUNCT
ijassa-1115	162	31	.	.	PUNCT
ijassa-1115	163	1	finding	find	VERB
ijassa-1115	163	2	an	an	DET
ijassa-1115	163	3	accurate	accurate	ADJ
ijassa-1115	163	4	early	early	ADJ
ijassa-1115	163	5	forecasting	forecasting	NOUN
ijassa-1115	163	6	model	model	NOUN
ijassa-1115	163	7	from	from	ADP
ijassa-1115	163	8	small	small	ADJ
ijassa-1115	163	9	dataset	dataset	NOUN
ijassa-1115	163	10	:	:	PUNCT
ijassa-1115	163	11	a	a	DET
ijassa-1115	163	12	case	case	NOUN
ijassa-1115	163	13	of	of	ADP
ijassa-1115	163	14	2019ncov	2019ncov	NUM
ijassa-1115	163	15	novel	novel	ADJ
ijassa-1115	163	16	coronavirus	coronavirus	NOUN
ijassa-1115	163	17	outbreak	outbreak	NOUN
ijassa-1115	163	18	,	,	PUNCT
ijassa-1115	163	19	int	int	NOUN
ijassa-1115	163	20	.	.	PUNCT
ijassa-1115	164	1	j.	j.	PROPN
ijassa-1115	164	2	interact	interact	PROPN
ijassa-1115	164	3	.	.	PUNCT
ijassa-1115	165	1	multimed	multimed	PROPN
ijassa-1115	165	2	.	.	PUNCT
ijassa-1115	166	1	artif	artif	INTJ
ijassa-1115	166	2	.	.	PUNCT
ijassa-1115	167	1	intell	intell	PROPN
ijassa-1115	167	2	.	.	PUNCT
ijassa-1115	167	3	,	,	PUNCT
ijassa-1115	167	4	6(1	6(1	NUM
ijassa-1115	167	5	)	)	PUNCT
ijassa-1115	167	6	132	132	NUM
ijassa-1115	167	7	.	.	PUNCT
ijassa-1115	168	1	[	[	X
ijassa-1115	168	2	5	5	NUM
ijassa-1115	168	3	]	]	PUNCT
ijassa-1115	168	4	ghoshal	ghoshal	NOUN
ijassa-1115	168	5	,	,	PUNCT
ijassa-1115	168	6	b.	b.	PROPN
ijassa-1115	168	7	&	&	CCONJ
ijassa-1115	168	8	tucker	tucker	PROPN
ijassa-1115	168	9	,	,	PUNCT
ijassa-1115	168	10	a.	a.	NOUN
ijassa-1115	168	11	(	(	PUNCT
ijassa-1115	168	12	2020	2020	NUM
ijassa-1115	168	13	)	)	PUNCT
ijassa-1115	168	14	.	.	PUNCT
ijassa-1115	169	1	estimating	estimate	VERB
ijassa-1115	169	2	uncertainty	uncertainty	NOUN
ijassa-1115	169	3	and	and	CCONJ
ijassa-1115	169	4	interpretability	interpretability	NOUN
ijassa-1115	169	5	in	in	ADP
ijassa-1115	169	6	deep	deep	ADJ
ijassa-1115	169	7	learning	learning	NOUN
ijassa-1115	169	8	for	for	ADP
ijassa-1115	169	9	coronavirus	coronavirus	NOUN
ijassa-1115	169	10	(	(	PUNCT
ijassa-1115	169	11	covid-19	covid-19	PROPN
ijassa-1115	169	12	)	)	PUNCT
ijassa-1115	169	13	detection	detection	NOUN
ijassa-1115	169	14	,	,	PUNCT
ijassa-1115	169	15	arxiv	arxiv	NOUN
ijassa-1115	169	16	:	:	PUNCT
ijassa-1115	169	17	2003.10769	2003.10769	NOUN
ijassa-1115	169	18	,	,	PUNCT
ijassa-1115	169	19	[	[	X
ijassa-1115	169	20	online	online	X
ijassa-1115	169	21	]	]	X
ijassa-1115	169	22	.	.	PUNCT
ijassa-1115	170	1	available	available	ADJ
ijassa-1115	170	2	:	:	PUNCT
ijassa-1115	170	3	http://arxiv.org/abs/2003.10769	http://arxiv.org/abs/2003.10769	NOUN
ijassa-1115	170	4	.	.	PUNCT
ijassa-1115	171	1	[	[	X
ijassa-1115	171	2	6	6	NUM
ijassa-1115	171	3	]	]	SYM
ijassa-1115	171	4	hu	hu	PROPN
ijassa-1115	171	5	,	,	PUNCT
ijassa-1115	171	6	z.	z.	PROPN
ijassa-1115	171	7	,	,	PUNCT
ijassa-1115	171	8	ge	ge	PROPN
ijassa-1115	171	9	,	,	PUNCT
ijassa-1115	171	10	q.	q.	PROPN
ijassa-1115	171	11	,	,	PUNCT
ijassa-1115	171	12	li	li	PROPN
ijassa-1115	171	13	,	,	PUNCT
ijassa-1115	171	14	s.	s.	PROPN
ijassa-1115	171	15	,	,	PUNCT
ijassa-1115	171	16	jin	jin	PROPN
ijassa-1115	171	17	,	,	PUNCT
ijassa-1115	171	18	l.	l.	PROPN
ijassa-1115	171	19	&	&	CCONJ
ijassa-1115	171	20	xiong	xiong	PROPN
ijassa-1115	171	21	,	,	PUNCT
ijassa-1115	171	22	m.	m.	NOUN
ijassa-1115	171	23	(	(	PUNCT
ijassa-1115	171	24	2020	2020	NUM
ijassa-1115	171	25	)	)	PUNCT
ijassa-1115	171	26	.	.	PUNCT
ijassa-1115	172	1	artificial	artificial	ADJ
ijassa-1115	172	2	intelligence	intelligence	NOUN
ijassa-1115	172	3	forecasting	forecasting	NOUN
ijassa-1115	172	4	of	of	ADP
ijassa-1115	172	5	covid-19	covid-19	PROPN
ijassa-1115	172	6	in	in	ADP
ijassa-1115	172	7	china	china	PROPN
ijassa-1115	172	8	,	,	PUNCT
ijassa-1115	172	9	arxiv:2002.07112	arxiv:2002.07112	PROPN
ijassa-1115	172	10	,	,	PUNCT
ijassa-1115	173	1	[	[	X
ijassa-1115	173	2	online	online	X
ijassa-1115	173	3	]	]	X
ijassa-1115	173	4	.	.	PUNCT
ijassa-1115	174	1	available	available	ADJ
ijassa-1115	174	2	:	:	PUNCT
ijassa-1115	174	3	http://arxiv.org/abs/	http://arxiv.org/abs/	NOUN
ijassa-1115	174	4	2002.07112	2002.07112	NOUN
ijassa-1115	174	5	.	.	PUNCT
ijassa-1115	175	1	[	[	X
ijassa-1115	175	2	7	7	NUM
ijassa-1115	175	3	]	]	X
ijassa-1115	175	4	hossain	hossain	PROPN
ijassa-1115	175	5	,	,	PUNCT
ijassa-1115	175	6	m.	m.	NOUN
ijassa-1115	175	7	m.	m.	NOUN
ijassa-1115	175	8	,	,	PUNCT
ijassa-1115	175	9	asadullah	asadullah	PROPN
ijassa-1115	175	10	,	,	PUNCT
ijassa-1115	175	11	m.	m.	NOUN
ijassa-1115	175	12	,	,	PUNCT
ijassa-1115	175	13	hossain	hossain	PROPN
ijassa-1115	175	14	,	,	PUNCT
ijassa-1115	175	15	m.	m.	NOUN
ijassa-1115	175	16	a.	a.	PROPN
ijassa-1115	175	17	,	,	PUNCT
ijassa-1115	175	18	&	&	CCONJ
ijassa-1115	175	19	amin	amin	PROPN
ijassa-1115	175	20	,	,	PUNCT
ijassa-1115	175	21	m.	m.	NOUN
ijassa-1115	175	22	s.	s.	PROPN
ijassa-1115	175	23	(	(	PUNCT
ijassa-1115	175	24	2022	2022	NUM
ijassa-1115	175	25	)	)	PUNCT
ijassa-1115	175	26	.	.	PUNCT
ijassa-1115	176	1	prediction	prediction	NOUN
ijassa-1115	176	2	of	of	ADP
ijassa-1115	176	3	depression	depression	NOUN
ijassa-1115	176	4	using	use	VERB
ijassa-1115	176	5	machine	machine	NOUN
ijassa-1115	176	6	learning	learning	NOUN
ijassa-1115	176	7	tools	tool	NOUN
ijassa-1115	176	8	taking	take	VERB
ijassa-1115	176	9	consideration	consideration	NOUN
ijassa-1115	176	10	of	of	ADP
ijassa-1115	176	11	oversampling	oversample	VERB
ijassa-1115	176	12	.	.	PUNCT
ijassa-1115	177	1	malaysian	malaysian	ADJ
ijassa-1115	177	2	journal	journal	PROPN
ijassa-1115	177	3	of	of	ADP
ijassa-1115	177	4	public	public	ADJ
ijassa-1115	177	5	health	health	NOUN
ijassa-1115	177	6	medicine	medicine	NOUN
ijassa-1115	177	7	,	,	PUNCT
ijassa-1115	177	8	22(2	22(2	NUM
ijassa-1115	177	9	)	)	PUNCT
ijassa-1115	177	10	,	,	PUNCT
ijassa-1115	177	11	244–253	244–253	NUM
ijassa-1115	177	12	.	.	PUNCT
ijassa-1115	178	1	[	[	X
ijassa-1115	178	2	8	8	NUM
ijassa-1115	178	3	]	]	X
ijassa-1115	178	4	hossain	hossain	PROPN
ijassa-1115	178	5	,	,	PUNCT
ijassa-1115	178	6	m.	m.	NOUN
ijassa-1115	178	7	m.	m.	NOUN
ijassa-1115	178	8	,	,	PUNCT
ijassa-1115	178	9	asadullah	asadullah	PROPN
ijassa-1115	178	10	,	,	PUNCT
ijassa-1115	178	11	m.	m.	NOUN
ijassa-1115	178	12	,	,	PUNCT
ijassa-1115	178	13	rahaman	rahaman	NOUN
ijassa-1115	178	14	,	,	PUNCT
ijassa-1115	178	15	a.	a.	PROPN
ijassa-1115	178	16	,	,	PUNCT
ijassa-1115	178	17	miah	miah	PROPN
ijassa-1115	178	18	,	,	PUNCT
ijassa-1115	178	19	m.	m.	NOUN
ijassa-1115	178	20	s.	s.	PROPN
ijassa-1115	178	21	,	,	PUNCT
ijassa-1115	178	22	hasan	hasan	PROPN
ijassa-1115	178	23	,	,	PUNCT
ijassa-1115	178	24	m.	m.	PROPN
ijassa-1115	178	25	z.	z.	PROPN
ijassa-1115	178	26	,	,	PUNCT
ijassa-1115	178	27	et	et	PROPN
ijassa-1115	178	28	al	al	PROPN
ijassa-1115	178	29	.	.	PROPN
ijassa-1115	179	1	(	(	PUNCT
ijassa-1115	179	2	2021	2021	NUM
ijassa-1115	179	3	)	)	PUNCT
ijassa-1115	179	4	.	.	PUNCT
ijassa-1115	180	1	prediction	prediction	NOUN
ijassa-1115	180	2	on	on	ADP
ijassa-1115	180	3	domestic	domestic	ADJ
ijassa-1115	180	4	violence	violence	NOUN
ijassa-1115	180	5	in	in	ADP
ijassa-1115	180	6	bangladesh	bangladesh	NOUN
ijassa-1115	180	7	during	during	ADP
ijassa-1115	180	8	the	the	DET
ijassa-1115	180	9	covid-19	covid-19	PROPN
ijassa-1115	180	10	outbreak	outbreak	NOUN
ijassa-1115	180	11	using	use	VERB
ijassa-1115	180	12	machine	machine	NOUN
ijassa-1115	180	13	learning	learning	NOUN
ijassa-1115	180	14	methods	method	NOUN
ijassa-1115	180	15	,	,	PUNCT
ijassa-1115	180	16	applied	apply	VERB
ijassa-1115	180	17	system	system	NOUN
ijassa-1115	180	18	innovation	innovation	NOUN
ijassa-1115	180	19	,	,	PUNCT
ijassa-1115	180	20	4(4	4(4	NUM
ijassa-1115	180	21	)	)	PUNCT
ijassa-1115	180	22	,	,	PUNCT
ijassa-1115	180	23	77	77	NUM
ijassa-1115	180	24	.	.	PUNCT
ijassa-1115	181	1	[	[	X
ijassa-1115	181	2	9	9	NUM
ijassa-1115	181	3	]	]	X
ijassa-1115	181	4	jia	jia	PROPN
ijassa-1115	181	5	,	,	PUNCT
ijassa-1115	181	6	l.	l.	PROPN
ijassa-1115	181	7	,	,	PUNCT
ijassa-1115	181	8	li	li	PROPN
ijassa-1115	181	9	,	,	PUNCT
ijassa-1115	181	10	k.	k.	PROPN
ijassa-1115	181	11	,	,	PUNCT
ijassa-1115	181	12	jiang	jiang	PROPN
ijassa-1115	181	13	,	,	PUNCT
ijassa-1115	181	14	y.	y.	PROPN
ijassa-1115	181	15	,	,	PUNCT
ijassa-1115	181	16	guo	guo	PROPN
ijassa-1115	181	17	,	,	PUNCT
ijassa-1115	181	18	x.	x.	PROPN
ijassa-1115	181	19	&	&	CCONJ
ijassa-1115	181	20	zhao	zhao	PROPN
ijassa-1115	181	21	,	,	PUNCT
ijassa-1115	181	22	t.	t.	PROPN
ijassa-1115	181	23	(	(	PUNCT
ijassa-1115	181	24	2020	2020	NUM
ijassa-1115	181	25	)	)	PUNCT
ijassa-1115	181	26	.	.	PUNCT
ijassa-1115	181	27	prediction	prediction	NOUN
ijassa-1115	181	28	and	and	CCONJ
ijassa-1115	181	29	analysis	analysis	NOUN
ijassa-1115	181	30	of	of	ADP
ijassa-1115	181	31	coronavirus	coronavirus	NOUN
ijassa-1115	181	32	disease	disease	NOUN
ijassa-1115	181	33	2019	2019	NUM
ijassa-1115	181	34	,	,	PUNCT
ijassa-1115	181	35	arxiv	arxiv	NOUN
ijassa-1115	181	36	:	:	PUNCT
ijassa-1115	181	37	2003.05447	2003.05447	NUM
ijassa-1115	181	38	,	,	PUNCT
ijassa-1115	181	39	[	[	X
ijassa-1115	181	40	online	online	X
ijassa-1115	181	41	]	]	X
ijassa-1115	181	42	.	.	PUNCT
ijassa-1115	182	1	available	available	ADJ
ijassa-1115	182	2	:	:	PUNCT
ijassa-1115	182	3	http://arxiv.org/abs/2003.05447	http://arxiv.org/abs/2003.05447	VERB
ijassa-1115	182	4	.	.	PUNCT
ijassa-1115	183	1	[	[	X
ijassa-1115	183	2	10	10	NUM
ijassa-1115	183	3	]	]	X
ijassa-1115	183	4	kumar	kumar	PROPN
ijassa-1115	183	5	,	,	PUNCT
ijassa-1115	183	6	r.	r.	PROPN
ijassa-1115	183	7	,	,	PUNCT
ijassa-1115	183	8	arora	arora	PROPN
ijassa-1115	183	9	,	,	PUNCT
ijassa-1115	183	10	r.	r.	PROPN
ijassa-1115	183	11	,	,	PUNCT
ijassa-1115	183	12	bansal	bansal	NOUN
ijassa-1115	183	13	,	,	PUNCT
ijassa-1115	183	14	v.	v.	PROPN
ijassa-1115	183	15	&	&	CCONJ
ijassa-1115	183	16	sahayasheela	sahayasheela	PROPN
ijassa-1115	183	17	,	,	PUNCT
ijassa-1115	183	18	v.	v.	PROPN
ijassa-1115	183	19	j.	j.	PROPN
ijassa-1115	183	20	(	(	PUNCT
ijassa-1115	183	21	2020	2020	NUM
ijassa-1115	183	22	)	)	PUNCT
ijassa-1115	183	23	.	.	PUNCT
ijassa-1115	184	1	accurate	accurate	ADJ
ijassa-1115	184	2	prediction	prediction	NOUN
ijassa-1115	184	3	of	of	ADP
ijassa-1115	184	4	covid-19	covid-19	PROPN
ijassa-1115	184	5	using	use	VERB
ijassa-1115	184	6	chest	chest	NOUN
ijassa-1115	184	7	x	x	NOUN
ijassa-1115	184	8	-	-	NOUN
ijassa-1115	184	9	ray	ray	NOUN
ijassa-1115	184	10	images	image	NOUN
ijassa-1115	184	11	through	through	ADP
ijassa-1115	184	12	deep	deep	ADJ
ijassa-1115	184	13	feature	feature	NOUN
ijassa-1115	184	14	learning	learn	VERB
ijassa-1115	184	15	model	model	NOUN
ijassa-1115	184	16	with	with	ADP
ijassa-1115	184	17	smote	smote	ADJ
ijassa-1115	184	18	and	and	CCONJ
ijassa-1115	184	19	machine	machine	NOUN
ijassa-1115	184	20	learning	learn	VERB
ijassa-1115	184	21	classifiers	classifier	NOUN
ijassa-1115	184	22	,	,	PUNCT
ijassa-1115	184	23	medrxiv	medrxiv	X
ijassa-1115	184	24	:	:	PUNCT
ijassa-1115	184	25	2020.04.13.20063461	2020.04.13.20063461	ADJ
ijassa-1115	184	26	,	,	PUNCT
ijassa-1115	185	1	[	[	X
ijassa-1115	185	2	online	online	X
ijassa-1115	185	3	]	]	X
ijassa-1115	185	4	.	.	PUNCT
ijassa-1115	186	1	available	available	ADJ
ijassa-1115	186	2	:	:	PUNCT
ijassa-1115	186	3	https://www.medrxiv.org/content/10.1101/2020.04.13.20063461v1	https://www.medrxiv.org/content/10.1101/2020.04.13.20063461v1	NOUN
ijassa-1115	186	4	.	.	PUNCT
ijassa-1115	187	1	[	[	X
ijassa-1115	187	2	11	11	NUM
ijassa-1115	187	3	]	]	X
ijassa-1115	187	4	korkut	korkut	ADJ
ijassa-1115	187	5	,	,	PUNCT
ijassa-1115	187	6	s.	s.	PROPN
ijassa-1115	187	7	,	,	PUNCT
ijassa-1115	187	8	göl	göl	PROPN
ijassa-1115	187	9	,	,	PUNCT
ijassa-1115	187	10	s.	s.	PROPN
ijassa-1115	187	11	,	,	PUNCT
ijassa-1115	187	12	&	&	CCONJ
ijassa-1115	187	13	kilic	kilic	PROPN
ijassa-1115	187	14	,	,	PUNCT
ijassa-1115	187	15	m.	m.	NOUN
ijassa-1115	187	16	s.	s.	PROPN
ijassa-1115	187	17	(	(	PUNCT
ijassa-1115	187	18	2020	2020	NUM
ijassa-1115	187	19	)	)	PUNCT
ijassa-1115	187	20	.	.	PUNCT
ijassa-1115	188	1	poly	poly	ADJ
ijassa-1115	188	2	(	(	PUNCT
ijassa-1115	188	3	pyrrole	pyrrole	NOUN
ijassa-1115	188	4	-	-	PUNCT
ijassa-1115	188	5	co	co	NOUN
ijassa-1115	188	6	-	-	ADJ
ijassa-1115	188	7	pyrrole-2	pyrrole-2	ADJ
ijassa-1115	188	8	-	-	PUNCT
ijassa-1115	188	9	carboxylic	carboxylic	ADJ
ijassa-1115	188	10	acid	acid	NOUN
ijassa-1115	188	11	)	)	PUNCT
ijassa-1115	188	12	/	/	SYM
ijassa-1115	188	13	pyruvate	pyruvate	NOUN
ijassa-1115	188	14	oxidase	oxidase	NOUN
ijassa-1115	188	15	based	base	VERB
ijassa-1115	188	16	biosensor	biosensor	NOUN
ijassa-1115	188	17	for	for	ADP
ijassa-1115	188	18	phosphate	phosphate	NOUN
ijassa-1115	188	19	:	:	PUNCT
ijassa-1115	188	20	determination	determination	NOUN
ijassa-1115	188	21	of	of	ADP
ijassa-1115	188	22	the	the	DET
ijassa-1115	188	23	potential	potential	NOUN
ijassa-1115	188	24	,	,	PUNCT
ijassa-1115	188	25	and	and	CCONJ
ijassa-1115	188	26	application	application	NOUN
ijassa-1115	188	27	in	in	ADP
ijassa-1115	188	28	streams	stream	NOUN
ijassa-1115	188	29	,	,	PUNCT
ijassa-1115	188	30	electroanalysis	electroanalysis	NOUN
ijassa-1115	188	31	,	,	PUNCT
ijassa-1115	188	32	32(2	32(2	NUM
ijassa-1115	188	33	)	)	PUNCT
ijassa-1115	188	34	,	,	PUNCT
ijassa-1115	188	35	271–280	271–280	NUM
ijassa-1115	188	36	.	.	PUNCT
ijassa-1115	189	1	[	[	X
ijassa-1115	189	2	12	12	NUM
ijassa-1115	189	3	]	]	SYM
ijassa-1115	189	4	li	li	PROPN
ijassa-1115	189	5	,	,	PUNCT
ijassa-1115	189	6	b.	b.	PROPN
ijassa-1115	189	7	,	,	PUNCT
ijassa-1115	189	8	yang	yang	PROPN
ijassa-1115	189	9	,	,	PUNCT
ijassa-1115	189	10	j.	j.	PROPN
ijassa-1115	189	11	,	,	PUNCT
ijassa-1115	189	12	zhao	zhao	PROPN
ijassa-1115	189	13	,	,	PUNCT
ijassa-1115	189	14	f.	f.	PROPN
ijassa-1115	189	15	,	,	PUNCT
ijassa-1115	189	16	zhi	zhi	PROPN
ijassa-1115	189	17	,	,	PUNCT
ijassa-1115	189	18	l.	l.	PROPN
ijassa-1115	189	19	,	,	PUNCT
ijassa-1115	189	20	wang	wang	PROPN
ijassa-1115	189	21	,	,	PUNCT
ijassa-1115	189	22	x.	x.	PROPN
ijassa-1115	189	23	,	,	PUNCT
ijassa-1115	189	24	et	et	PROPN
ijassa-1115	189	25	al	al	PROPN
ijassa-1115	189	26	.	.	PROPN
ijassa-1115	189	27	(	(	PUNCT
ijassa-1115	189	28	2020	2020	NUM
ijassa-1115	189	29	)	)	PUNCT
ijassa-1115	189	30	.	.	PUNCT
ijassa-1115	190	1	prevalence	prevalence	NOUN
ijassa-1115	190	2	and	and	CCONJ
ijassa-1115	190	3	impact	impact	NOUN
ijassa-1115	190	4	of	of	ADP
ijassa-1115	190	5	word	word	NOUN
ijassa-1115	190	6	template	template	NOUN
ijassa-1115	190	7	for	for	ADP
ijassa-1115	190	8	assa	assa	NOUN
ijassa-1115	190	9	manuscript	manuscript	NOUN
ijassa-1115	190	10	155	155	NUM
ijassa-1115	190	11	copyright	copyright	NOUN
ijassa-1115	190	12	©	©	PROPN
ijassa-1115	190	13	2023	2023	NUM
ijassa-1115	190	14	assa	assa	NOUN
ijassa-1115	190	15	.	.	PUNCT
ijassa-1115	191	1	adv	adv	PROPN
ijassa-1115	191	2	.	.	PUNCT
ijassa-1115	192	1	in	in	ADP
ijassa-1115	192	2	systems	system	NOUN
ijassa-1115	192	3	science	science	NOUN
ijassa-1115	192	4	and	and	CCONJ
ijassa-1115	192	5	appl	appl	NOUN
ijassa-1115	192	6	.	.	PUNCT
ijassa-1115	193	1	(	(	PUNCT
ijassa-1115	193	2	2024	2024	NUM
ijassa-1115	193	3	)	)	PUNCT
ijassa-1115	193	4	cardiovascular	cardiovascular	ADJ
ijassa-1115	193	5	metabolic	metabolic	NOUN
ijassa-1115	193	6	diseases	disease	NOUN
ijassa-1115	193	7	on	on	ADP
ijassa-1115	193	8	covid-19	covid-19	PROPN
ijassa-1115	193	9	in	in	ADP
ijassa-1115	193	10	china	china	PROPN
ijassa-1115	193	11	,	,	PUNCT
ijassa-1115	193	12	clin	clin	PROPN
ijassa-1115	193	13	res	re	NOUN
ijassa-1115	193	14	cardiol	cardiol	NOUN
ijassa-1115	193	15	,	,	PUNCT
ijassa-1115	193	16	109(5	109(5	NUM
ijassa-1115	193	17	)	)	PUNCT
ijassa-1115	193	18	,	,	PUNCT
ijassa-1115	193	19	531–538	531–538	NUM
ijassa-1115	193	20	.	.	PUNCT
ijassa-1115	194	1	[	[	X
ijassa-1115	194	2	13	13	NUM
ijassa-1115	194	3	]	]	X
ijassa-1115	194	4	mamani	mamani	NOUN
ijassa-1115	194	5	,	,	PUNCT
ijassa-1115	194	6	s.	s.	PROPN
ijassa-1115	194	7	,	,	PUNCT
ijassa-1115	194	8	nolan	nolan	PROPN
ijassa-1115	194	9	,	,	PUNCT
ijassa-1115	194	10	d.	d.	PROPN
ijassa-1115	194	11	a.	a.	PROPN
ijassa-1115	194	12	,	,	PUNCT
ijassa-1115	194	13	shi	shi	PROPN
ijassa-1115	194	14	,	,	PUNCT
ijassa-1115	194	15	l.	l.	PROPN
ijassa-1115	194	16	&	&	CCONJ
ijassa-1115	194	17	alfano	alfano	PROPN
ijassa-1115	194	18	,	,	PUNCT
ijassa-1115	194	19	r.	r.	PROPN
ijassa-1115	194	20	r.	r.	PROPN
ijassa-1115	194	21	(	(	PUNCT
ijassa-1115	194	22	2020	2020	NUM
ijassa-1115	194	23	)	)	PUNCT
ijassa-1115	194	24	.	.	PUNCT
ijassa-1115	195	1	special	special	ADJ
ijassa-1115	195	2	classes	class	NOUN
ijassa-1115	195	3	of	of	ADP
ijassa-1115	195	4	optical	optical	ADJ
ijassa-1115	195	5	vector	vector	NOUN
ijassa-1115	195	6	vortex	vortex	NOUN
ijassa-1115	195	7	beams	beam	NOUN
ijassa-1115	195	8	are	be	AUX
ijassa-1115	195	9	majorana	majorana	NOUN
ijassa-1115	195	10	-	-	PUNCT
ijassa-1115	195	11	like	like	ADJ
ijassa-1115	195	12	photons	photon	NOUN
ijassa-1115	195	13	,	,	PUNCT
ijassa-1115	195	14	opt	opt	PROPN
ijassa-1115	195	15	.	.	PUNCT
ijassa-1115	196	1	commun	commun	PROPN
ijassa-1115	196	2	.	.	PROPN
ijassa-1115	196	3	,	,	PUNCT
ijassa-1115	196	4	464	464	NUM
ijassa-1115	196	5	,	,	PUNCT
ijassa-1115	196	6	125425	125425	NUM
ijassa-1115	196	7	.	.	PUNCT
ijassa-1115	197	1	[	[	X
ijassa-1115	197	2	14	14	NUM
ijassa-1115	197	3	]	]	X
ijassa-1115	197	4	martínez	martínez	NOUN
ijassa-1115	197	5	-	-	PUNCT
ijassa-1115	197	6	álvarez	álvarez	PROPN
ijassa-1115	197	7	,	,	PUNCT
ijassa-1115	197	8	f.	f.	PROPN
ijassa-1115	197	9	,	,	PUNCT
ijassa-1115	197	10	asencio	asencio	NOUN
ijassa-1115	197	11	-	-	PUNCT
ijassa-1115	197	12	cortés	cortés	NOUN
ijassa-1115	197	13	,	,	PUNCT
ijassa-1115	197	14	g.	g.	PROPN
ijassa-1115	197	15	,	,	PUNCT
ijassa-1115	197	16	torres	torre	NOUN
ijassa-1115	197	17	,	,	PUNCT
ijassa-1115	197	18	j.	j.	PROPN
ijassa-1115	197	19	f.	f.	PROPN
ijassa-1115	197	20	,	,	PUNCT
ijassa-1115	197	21	gutiérrez	gutiérrez	NOUN
ijassa-1115	197	22	-	-	PUNCT
ijassa-1115	197	23	avilés	avilés	PROPN
ijassa-1115	197	24	,	,	PUNCT
ijassa-1115	197	25	d.	d.	PROPN
ijassa-1115	197	26	,	,	PUNCT
ijassa-1115	197	27	melgargarcía	melgargarcía	PROPN
ijassa-1115	197	28	,	,	PUNCT
ijassa-1115	197	29	l.	l.	PROPN
ijassa-1115	197	30	,	,	PUNCT
ijassa-1115	197	31	et	et	PROPN
ijassa-1115	197	32	al	al	PROPN
ijassa-1115	197	33	.	.	PROPN
ijassa-1115	197	34	(	(	PUNCT
ijassa-1115	197	35	2020	2020	NUM
ijassa-1115	197	36	)	)	PUNCT
ijassa-1115	197	37	.	.	PUNCT
ijassa-1115	198	1	coronavirus	coronavirus	NOUN
ijassa-1115	198	2	optimization	optimization	NOUN
ijassa-1115	198	3	algorithm	algorithm	NOUN
ijassa-1115	198	4	:	:	PUNCT
ijassa-1115	198	5	a	a	DET
ijassa-1115	198	6	bioinspired	bioinspire	VERB
ijassa-1115	198	7	metaheuristic	metaheuristic	NOUN
ijassa-1115	198	8	based	base	VERB
ijassa-1115	198	9	on	on	ADP
ijassa-1115	198	10	the	the	DET
ijassa-1115	198	11	covid-19	covid-19	PROPN
ijassa-1115	198	12	propagation	propagation	NOUN
ijassa-1115	198	13	model	model	NOUN
ijassa-1115	198	14	,	,	PUNCT
ijassa-1115	198	15	arxiv	arxiv	NOUN
ijassa-1115	198	16	:	:	PUNCT
ijassa-1115	198	17	2003.13633	2003.13633	NUM
ijassa-1115	198	18	,	,	PUNCT
ijassa-1115	198	19	[	[	X
ijassa-1115	198	20	online	online	X
ijassa-1115	198	21	]	]	X
ijassa-1115	198	22	.	.	PUNCT
ijassa-1115	199	1	available	available	ADJ
ijassa-1115	199	2	:	:	PUNCT
ijassa-1115	199	3	http://arxiv.org/abs/2003.13633	http://arxiv.org/abs/2003.13633	X
ijassa-1115	199	4	.	.	PUNCT
ijassa-1115	200	1	[	[	X
ijassa-1115	200	2	15	15	NUM
ijassa-1115	200	3	]	]	X
ijassa-1115	200	4	ong	ong	PROPN
ijassa-1115	200	5	,	,	PUNCT
ijassa-1115	200	6	e.	e.	PROPN
ijassa-1115	200	7	,	,	PUNCT
ijassa-1115	200	8	wong	wong	PROPN
ijassa-1115	200	9	,	,	PUNCT
ijassa-1115	200	10	m.	m.	PROPN
ijassa-1115	200	11	u.	u.	PROPN
ijassa-1115	200	12	,	,	PUNCT
ijassa-1115	200	13	huffman	huffman	PROPN
ijassa-1115	200	14	,	,	PUNCT
ijassa-1115	200	15	a.	a.	PROPN
ijassa-1115	200	16	&	&	CCONJ
ijassa-1115	200	17	he	he	PRON
ijassa-1115	200	18	,	,	PUNCT
ijassa-1115	200	19	y.	y.	PROPN
ijassa-1115	200	20	(	(	PUNCT
ijassa-1115	200	21	2020	2020	NUM
ijassa-1115	200	22	)	)	PUNCT
ijassa-1115	200	23	.	.	PUNCT
ijassa-1115	201	1	covid-19	covid-19	PROPN
ijassa-1115	201	2	coronavirus	coronavirus	NOUN
ijassa-1115	201	3	vaccine	vaccine	NOUN
ijassa-1115	201	4	design	design	VERB
ijassa-1115	201	5	using	use	VERB
ijassa-1115	201	6	reverse	reverse	ADJ
ijassa-1115	201	7	vaccinology	vaccinology	NOUN
ijassa-1115	201	8	and	and	CCONJ
ijassa-1115	201	9	machine	machine	NOUN
ijassa-1115	201	10	learning	learning	NOUN
ijassa-1115	201	11	,	,	PUNCT
ijassa-1115	201	12	biorxiv	biorxiv	NOUN
ijassa-1115	201	13	:	:	PUNCT
ijassa-1115	201	14	2020.03.20.000141	2020.03.20.000141	NOUN
ijassa-1115	201	15	,	,	PUNCT
ijassa-1115	201	16	[	[	X
ijassa-1115	201	17	online	online	X
ijassa-1115	201	18	]	]	X
ijassa-1115	201	19	.	.	PUNCT
ijassa-1115	202	1	available	available	ADJ
ijassa-1115	202	2	:	:	PUNCT
ijassa-1115	202	3	https://www.biorxiv.org/content/10.1101/	https://www.biorxiv.org/content/10.1101/	PROPN
ijassa-1115	202	4	2020.03.20.000141v2	2020.03.20.000141v2	NUM
ijassa-1115	202	5	.	.	PUNCT
ijassa-1115	203	1	[	[	X
ijassa-1115	203	2	16	16	NUM
ijassa-1115	203	3	]	]	X
ijassa-1115	203	4	pandey	pandey	PROPN
ijassa-1115	203	5	,	,	PUNCT
ijassa-1115	203	6	r.	r.	PROPN
ijassa-1115	203	7	,	,	PUNCT
ijassa-1115	203	8	gautam	gautam	PROPN
ijassa-1115	203	9	,	,	PUNCT
ijassa-1115	203	10	v.	v.	PROPN
ijassa-1115	203	11	,	,	PUNCT
ijassa-1115	203	12	bhagat	bhagat	PROPN
ijassa-1115	203	13	,	,	PUNCT
ijassa-1115	203	14	k.	k.	PROPN
ijassa-1115	203	15	&	&	CCONJ
ijassa-1115	203	16	sethi	sethi	PROPN
ijassa-1115	203	17	,	,	PUNCT
ijassa-1115	203	18	t.	t.	PROPN
ijassa-1115	203	19	(	(	PUNCT
ijassa-1115	203	20	2020	2020	NUM
ijassa-1115	203	21	)	)	PUNCT
ijassa-1115	203	22	.	.	PUNCT
ijassa-1115	204	1	a	a	DET
ijassa-1115	204	2	machine	machine	NOUN
ijassa-1115	204	3	learning	learn	VERB
ijassa-1115	204	4	application	application	NOUN
ijassa-1115	204	5	for	for	ADP
ijassa-1115	204	6	raising	raise	VERB
ijassa-1115	204	7	wash	wash	NOUN
ijassa-1115	204	8	awareness	awareness	NOUN
ijassa-1115	204	9	in	in	ADP
ijassa-1115	204	10	the	the	DET
ijassa-1115	204	11	times	time	NOUN
ijassa-1115	204	12	of	of	ADP
ijassa-1115	204	13	covid-19	covid-19	PROPN
ijassa-1115	204	14	pandemic	pandemic	ADJ
ijassa-1115	204	15	,	,	PUNCT
ijassa-1115	204	16	arxiv	arxiv	PROPN
ijassa-1115	204	17	:	:	PUNCT
ijassa-1115	204	18	2003.07074	2003.07074	PROPN
ijassa-1115	204	19	,	,	PUNCT
ijassa-1115	205	1	[	[	X
ijassa-1115	205	2	online	online	X
ijassa-1115	205	3	]	]	X
ijassa-1115	205	4	.	.	PUNCT
ijassa-1115	206	1	available	available	ADJ
ijassa-1115	206	2	:	:	PUNCT
ijassa-1115	206	3	http://arxiv.org/abs/2003.07074	http://arxiv.org/abs/2003.07074	PROPN
ijassa-1115	206	4	.	.	PUNCT
ijassa-1115	207	1	[	[	X
ijassa-1115	207	2	17	17	NUM
ijassa-1115	207	3	]	]	X
ijassa-1115	207	4	pirouz	pirouz	PROPN
ijassa-1115	207	5	.	.	PUNCT
ijassa-1115	208	1	b.	b.	PROPN
ijassa-1115	208	2	,	,	PUNCT
ijassa-1115	208	3	haghshenas	haghshenas	PROPN
ijassa-1115	208	4	,	,	PUNCT
ijassa-1115	208	5	s.	s.	PROPN
ijassa-1115	208	6	s.	s.	PROPN
ijassa-1115	208	7	,	,	PUNCT
ijassa-1115	208	8	&	&	CCONJ
ijassa-1115	208	9	piro	piro	PROPN
ijassa-1115	208	10	,	,	PUNCT
ijassa-1115	208	11	p.	p.	NOUN
ijassa-1115	208	12	(	(	PUNCT
ijassa-1115	208	13	2020	2020	NUM
ijassa-1115	208	14	)	)	PUNCT
ijassa-1115	208	15	.	.	PUNCT
ijassa-1115	209	1	investigating	investigate	VERB
ijassa-1115	209	2	a	a	DET
ijassa-1115	209	3	serious	serious	ADJ
ijassa-1115	209	4	challenge	challenge	NOUN
ijassa-1115	209	5	in	in	ADP
ijassa-1115	209	6	the	the	DET
ijassa-1115	209	7	sustainable	sustainable	ADJ
ijassa-1115	209	8	development	development	NOUN
ijassa-1115	209	9	process	process	NOUN
ijassa-1115	209	10	:	:	PUNCT
ijassa-1115	209	11	analysis	analysis	NOUN
ijassa-1115	209	12	of	of	ADP
ijassa-1115	209	13	confirmed	confirm	VERB
ijassa-1115	209	14	cases	case	NOUN
ijassa-1115	209	15	of	of	ADP
ijassa-1115	209	16	covid-19	covid-19	PROPN
ijassa-1115	209	17	(	(	PUNCT
ijassa-1115	209	18	new	new	ADJ
ijassa-1115	209	19	type	type	NOUN
ijassa-1115	209	20	of	of	ADP
ijassa-1115	209	21	coronavirus	coronavirus	NOUN
ijassa-1115	209	22	)	)	PUNCT
ijassa-1115	209	23	through	through	ADP
ijassa-1115	209	24	a	a	DET
ijassa-1115	209	25	binary	binary	ADJ
ijassa-1115	209	26	classification	classification	NOUN
ijassa-1115	209	27	using	use	VERB
ijassa-1115	209	28	artificial	artificial	ADJ
ijassa-1115	209	29	intelligence	intelligence	NOUN
ijassa-1115	209	30	and	and	CCONJ
ijassa-1115	209	31	regression	regression	NOUN
ijassa-1115	209	32	analysis	analysis	NOUN
ijassa-1115	209	33	,	,	PUNCT
ijassa-1115	209	34	sustain	sustain	NOUN
ijassa-1115	209	35	,	,	PUNCT
ijassa-1115	209	36	12(6	12(6	NUM
ijassa-1115	209	37	)	)	PUNCT
ijassa-1115	209	38	,	,	PUNCT
ijassa-1115	209	39	2427	2427	NUM
ijassa-1115	209	40	.	.	PUNCT
ijassa-1115	210	1	[	[	X
ijassa-1115	210	2	18	18	NUM
ijassa-1115	210	3	]	]	SYM
ijassa-1115	210	4	qi	qi	PROPN
ijassa-1115	210	5	,	,	PUNCT
ijassa-1115	210	6	x.	x.	PROPN
ijassa-1115	210	7	,	,	PUNCT
ijassa-1115	210	8	jiang	jiang	PROPN
ijassa-1115	210	9	,	,	PUNCT
ijassa-1115	210	10	z.	z.	PROPN
ijassa-1115	210	11	,	,	PUNCT
ijassa-1115	210	12	yu	yu	PROPN
ijassa-1115	210	13	,	,	PUNCT
ijassa-1115	210	14	q.	q.	PROPN
ijassa-1115	210	15	,	,	PUNCT
ijassa-1115	210	16	shao	shao	PROPN
ijassa-1115	210	17	,	,	PUNCT
ijassa-1115	210	18	c.	c.	PROPN
ijassa-1115	210	19	,	,	PUNCT
ijassa-1115	210	20	zhang	zhang	PROPN
ijassa-1115	210	21	,	,	PUNCT
ijassa-1115	210	22	h.	h.	PROPN
ijassa-1115	210	23	,	,	PUNCT
ijassa-1115	210	24	et	et	PROPN
ijassa-1115	210	25	al	al	PROPN
ijassa-1115	210	26	.	.	PROPN
ijassa-1115	210	27	(	(	PUNCT
ijassa-1115	210	28	2020	2020	NUM
ijassa-1115	210	29	)	)	PUNCT
ijassa-1115	210	30	.	.	PUNCT
ijassa-1115	211	1	machine	machine	NOUN
ijassa-1115	211	2	learning	learning	NOUN
ijassa-1115	211	3	-	-	PUNCT
ijassa-1115	211	4	based	base	VERB
ijassa-1115	211	5	ct	ct	PROPN
ijassa-1115	211	6	radiomics	radiomic	NOUN
ijassa-1115	211	7	model	model	NOUN
ijassa-1115	211	8	for	for	ADP
ijassa-1115	211	9	predicting	predict	VERB
ijassa-1115	211	10	hospital	hospital	NOUN
ijassa-1115	211	11	stay	stay	NOUN
ijassa-1115	211	12	in	in	ADP
ijassa-1115	211	13	patients	patient	NOUN
ijassa-1115	211	14	with	with	ADP
ijassa-1115	211	15	pneumonia	pneumonia	NOUN
ijassa-1115	211	16	associated	associate	VERB
ijassa-1115	211	17	with	with	ADP
ijassa-1115	211	18	sars	sar	NOUN
ijassa-1115	211	19	-	-	PUNCT
ijassa-1115	211	20	cov-2	cov-2	PART
ijassa-1115	211	21	infection	infection	NOUN
ijassa-1115	211	22	:	:	PUNCT
ijassa-1115	211	23	a	a	DET
ijassa-1115	211	24	multicenter	multicenter	ADJ
ijassa-1115	211	25	study	study	NOUN
ijassa-1115	211	26	,	,	PUNCT
ijassa-1115	211	27	medrxiv	medrxiv	X
ijassa-1115	211	28	:	:	PUNCT
ijassa-1115	211	29	2020.02.29.20029603	2020.02.29.20029603	NOUN
ijassa-1115	211	30	,	,	PUNCT
ijassa-1115	212	1	[	[	X
ijassa-1115	212	2	online	online	X
ijassa-1115	212	3	]	]	X
ijassa-1115	212	4	.	.	PUNCT
ijassa-1115	213	1	available	available	ADJ
ijassa-1115	213	2	:	:	PUNCT
ijassa-1115	214	1	https://www.medrxiv.org/content/	https://www.medrxiv.org/content/	PROPN
ijassa-1115	214	2	10.1101/2020.02.29.20029603v1	10.1101/2020.02.29.20029603v1	NUM
ijassa-1115	214	3	.	.	PUNCT
ijassa-1115	215	1	[	[	X
ijassa-1115	215	2	19	19	NUM
ijassa-1115	215	3	]	]	SYM
ijassa-1115	215	4	rao	rao	PROPN
ijassa-1115	215	5	,	,	PUNCT
ijassa-1115	215	6	a.	a.	PROPN
ijassa-1115	215	7	s.	s.	PROPN
ijassa-1115	215	8	r.	r.	PROPN
ijassa-1115	215	9	s.	s.	PROPN
ijassa-1115	215	10	&	&	CCONJ
ijassa-1115	215	11	vazquez	vazquez	PROPN
ijassa-1115	215	12	,	,	PUNCT
ijassa-1115	215	13	j.	j.	PROPN
ijassa-1115	215	14	a.	a.	PROPN
ijassa-1115	215	15	(	(	PUNCT
ijassa-1115	215	16	2020	2020	NUM
ijassa-1115	215	17	)	)	PUNCT
ijassa-1115	215	18	.	.	PUNCT
ijassa-1115	216	1	identification	identification	NOUN
ijassa-1115	216	2	of	of	ADP
ijassa-1115	216	3	covid-19	covid-19	PROPN
ijassa-1115	216	4	can	can	AUX
ijassa-1115	216	5	be	be	AUX
ijassa-1115	216	6	quicker	quick	ADJ
ijassa-1115	216	7	through	through	ADP
ijassa-1115	216	8	artificial	artificial	ADJ
ijassa-1115	216	9	intelligence	intelligence	NOUN
ijassa-1115	216	10	framework	framework	NOUN
ijassa-1115	216	11	using	use	VERB
ijassa-1115	216	12	a	a	DET
ijassa-1115	216	13	mobile	mobile	ADJ
ijassa-1115	216	14	phone	phone	NOUN
ijassa-1115	216	15	-	-	PUNCT
ijassa-1115	216	16	based	base	VERB
ijassa-1115	216	17	survey	survey	NOUN
ijassa-1115	216	18	in	in	ADP
ijassa-1115	216	19	the	the	DET
ijassa-1115	216	20	populations	population	NOUN
ijassa-1115	216	21	when	when	SCONJ
ijassa-1115	216	22	cities	city	NOUN
ijassa-1115	216	23	/	/	SYM
ijassa-1115	216	24	towns	town	NOUN
ijassa-1115	216	25	are	be	AUX
ijassa-1115	216	26	under	under	ADP
ijassa-1115	216	27	quarantine	quarantine	NOUN
ijassa-1115	216	28	,	,	PUNCT
ijassa-1115	216	29	infect	infect	VERB
ijassa-1115	216	30	.	.	PUNCT
ijassa-1115	217	1	control	control	PROPN
ijassa-1115	217	2	hosp	hosp	PROPN
ijassa-1115	217	3	.	.	PUNCT
ijassa-1115	218	1	epidemiol	epidemiol	PROPN
ijassa-1115	218	2	.	.	PROPN
ijassa-1115	218	3	,	,	PUNCT
ijassa-1115	218	4	1400	1400	NUM
ijassa-1115	218	5	.	.	PUNCT
ijassa-1115	219	1	[	[	X
ijassa-1115	219	2	20	20	NUM
ijassa-1115	219	3	]	]	X
ijassa-1115	219	4	santosh	santosh	NOUN
ijassa-1115	219	5	,	,	PUNCT
ijassa-1115	219	6	k.	k.	PROPN
ijassa-1115	219	7	c.	c.	PROPN
ijassa-1115	219	8	(	(	PUNCT
ijassa-1115	219	9	2020	2020	NUM
ijassa-1115	219	10	)	)	PUNCT
ijassa-1115	219	11	.	.	PUNCT
ijassa-1115	220	1	ai	ai	VERB
ijassa-1115	220	2	-	-	PUNCT
ijassa-1115	220	3	driven	drive	VERB
ijassa-1115	220	4	tools	tool	NOUN
ijassa-1115	220	5	for	for	ADP
ijassa-1115	220	6	coronavirus	coronavirus	NOUN
ijassa-1115	220	7	outbreak	outbreak	NOUN
ijassa-1115	220	8	:	:	PUNCT
ijassa-1115	220	9	need	need	NOUN
ijassa-1115	220	10	of	of	ADP
ijassa-1115	220	11	active	active	ADJ
ijassa-1115	220	12	learning	learning	NOUN
ijassa-1115	220	13	and	and	CCONJ
ijassa-1115	220	14	cross	cross	ADJ
ijassa-1115	220	15	-	-	ADJ
ijassa-1115	220	16	population	population	ADJ
ijassa-1115	220	17	train	train	NOUN
ijassa-1115	220	18	/	/	SYM
ijassa-1115	220	19	test	test	NOUN
ijassa-1115	220	20	models	model	NOUN
ijassa-1115	220	21	on	on	ADP
ijassa-1115	220	22	multitudinal	multitudinal	ADJ
ijassa-1115	220	23	/	/	SYM
ijassa-1115	220	24	multimodal	multimodal	NOUN
ijassa-1115	220	25	data	datum	NOUN
ijassa-1115	220	26	,	,	PUNCT
ijassa-1115	220	27	j.	j.	PROPN
ijassa-1115	220	28	med	med	PROPN
ijassa-1115	220	29	.	.	PUNCT
ijassa-1115	221	1	syst	syst	PROPN
ijassa-1115	221	2	.	.	PROPN
ijassa-1115	221	3	,	,	PUNCT
ijassa-1115	221	4	44(5	44(5	NOUN
ijassa-1115	221	5	)	)	PUNCT
ijassa-1115	221	6	,	,	PUNCT
ijassa-1115	221	7	1–5	1–5	X
ijassa-1115	221	8	.	.	PUNCT
ijassa-1115	222	1	[	[	X
ijassa-1115	222	2	21	21	NUM
ijassa-1115	222	3	]	]	X
ijassa-1115	222	4	wang	wang	PROPN
ijassa-1115	222	5	,	,	PUNCT
ijassa-1115	222	6	s.	s.	PROPN
ijassa-1115	222	7	,	,	PUNCT
ijassa-1115	222	8	kang	kang	PROPN
ijassa-1115	222	9	,	,	PUNCT
ijassa-1115	222	10	b.	b.	PROPN
ijassa-1115	222	11	,	,	PUNCT
ijassa-1115	222	12	ma	ma	PROPN
ijassa-1115	222	13	,	,	PUNCT
ijassa-1115	222	14	j.	j.	PROPN
ijassa-1115	222	15	,	,	PUNCT
ijassa-1115	222	16	zeng	zeng	PROPN
ijassa-1115	222	17	,	,	PUNCT
ijassa-1115	222	18	x.	x.	PROPN
ijassa-1115	222	19	,	,	PUNCT
ijassa-1115	222	20	xiao	xiao	PROPN
ijassa-1115	222	21	,	,	PUNCT
ijassa-1115	222	22	m.	m.	NOUN
ijassa-1115	222	23	,	,	PUNCT
ijassa-1115	222	24	et	et	PROPN
ijassa-1115	222	25	al	al	PROPN
ijassa-1115	222	26	.	.	PROPN
ijassa-1115	222	27	(	(	PUNCT
ijassa-1115	222	28	2020	2020	NUM
ijassa-1115	222	29	)	)	PUNCT
ijassa-1115	222	30	.	.	PUNCT
ijassa-1115	223	1	a	a	DET
ijassa-1115	223	2	deep	deep	ADJ
ijassa-1115	223	3	learning	learning	NOUN
ijassa-1115	223	4	algorithm	algorithm	NOUN
ijassa-1115	223	5	using	use	VERB
ijassa-1115	223	6	ct	ct	NUM
ijassa-1115	223	7	images	image	NOUN
ijassa-1115	223	8	to	to	PART
ijassa-1115	223	9	screen	screen	VERB
ijassa-1115	223	10	for	for	ADP
ijassa-1115	223	11	corona	corona	NOUN
ijassa-1115	223	12	virus	virus	NOUN
ijassa-1115	223	13	disease	disease	NOUN
ijassa-1115	223	14	(	(	PUNCT
ijassa-1115	223	15	covid-19	covid-19	PROPN
ijassa-1115	223	16	)	)	PUNCT
ijassa-1115	223	17	,	,	PUNCT
ijassa-1115	223	18	medrxiv	medrxiv	INTJ
ijassa-1115	223	19	:	:	PUNCT
ijassa-1115	223	20	2020.02.14.20023028	2020.02.14.20023028	NUM
ijassa-1115	223	21	,	,	PUNCT
ijassa-1115	223	22	[	[	X
ijassa-1115	223	23	online	online	X
ijassa-1115	223	24	]	]	X
ijassa-1115	223	25	.	.	PUNCT
ijassa-1115	224	1	available	available	ADJ
ijassa-1115	224	2	:	:	PUNCT
ijassa-1115	224	3	https://www.medrxiv.org/content/	https://www.medrxiv.org/content/	PROPN
ijassa-1115	224	4	10.1101/2020.02.14.20023028v5	10.1101/2020.02.14.20023028v5	NUM
ijassa-1115	224	5	.	.	PUNCT
ijassa-1115	225	1	[	[	X
ijassa-1115	225	2	22	22	NUM
ijassa-1115	225	3	]	]	PUNCT
ijassa-1115	225	4	xu	xu	PROPN
ijassa-1115	225	5	,	,	PUNCT
ijassa-1115	225	6	x.	x.	PROPN
ijassa-1115	225	7	,	,	PUNCT
ijassa-1115	225	8	jiang	jiang	PROPN
ijassa-1115	225	9	,	,	PUNCT
ijassa-1115	225	10	x.	x.	PROPN
ijassa-1115	225	11	,	,	PUNCT
ijassa-1115	225	12	ma	ma	PROPN
ijassa-1115	225	13	,	,	PUNCT
ijassa-1115	225	14	c.	c.	PROPN
ijassa-1115	225	15	,	,	PUNCT
ijassa-1115	225	16	du	du	PROPN
ijassa-1115	225	17	,	,	PUNCT
ijassa-1115	225	18	p.	p.	PROPN
ijassa-1115	225	19	,	,	PUNCT
ijassa-1115	225	20	li	li	PROPN
ijassa-1115	225	21	,	,	PUNCT
ijassa-1115	225	22	x.	x.	PROPN
ijassa-1115	225	23	,	,	PUNCT
ijassa-1115	225	24	et	et	PROPN
ijassa-1115	225	25	al	al	PROPN
ijassa-1115	225	26	.	.	PROPN
ijassa-1115	225	27	,	,	PUNCT
ijassa-1115	225	28	deep	deep	ADJ
ijassa-1115	225	29	learning	learning	NOUN
ijassa-1115	225	30	system	system	NOUN
ijassa-1115	225	31	to	to	PART
ijassa-1115	225	32	screen	screen	VERB
ijassa-1115	225	33	coronavirus	coronavirus	NOUN
ijassa-1115	225	34	disease	disease	NOUN
ijassa-1115	225	35	2019	2019	NUM
ijassa-1115	225	36	pneumonia	pneumonia	NOUN
ijassa-1115	225	37	,	,	PUNCT
ijassa-1115	225	38	arxiv	arxiv	PROPN
ijassa-1115	225	39	:	:	PUNCT
ijassa-1115	225	40	2002.09334	2002.09334	NUM
ijassa-1115	225	41	,	,	PUNCT
ijassa-1115	225	42	[	[	X
ijassa-1115	225	43	online	online	X
ijassa-1115	225	44	]	]	X
ijassa-1115	225	45	.	.	PUNCT
ijassa-1115	226	1	available	available	ADJ
ijassa-1115	226	2	:	:	PUNCT
ijassa-1115	226	3	http://arxiv.org/abs/2002.09334	http://arxiv.org/abs/2002.09334	NOUN
ijassa-1115	226	4	.	.	PUNCT
ijassa-1115	227	1	[	[	X
ijassa-1115	227	2	23	23	NUM
ijassa-1115	227	3	]	]	X
ijassa-1115	227	4	yuan	yuan	NOUN
ijassa-1115	227	5	,	,	PUNCT
ijassa-1115	227	6	h.-y	h.-y	NOUN
ijassa-1115	227	7	.	.	PUNCT
ijassa-1115	227	8	,	,	PUNCT
ijassa-1115	227	9	hossain	hossain	PROPN
ijassa-1115	227	10	,	,	PUNCT
ijassa-1115	227	11	m.	m.	PROPN
ijassa-1115	227	12	p.	p.	PROPN
ijassa-1115	227	13	,	,	PUNCT
ijassa-1115	227	14	tsegaye	tsegaye	NOUN
ijassa-1115	227	15	,	,	PUNCT
ijassa-1115	227	16	m.	m.	NOUN
ijassa-1115	227	17	,	,	PUNCT
ijassa-1115	227	18	zhu	zhu	PROPN
ijassa-1115	227	19	,	,	PUNCT
ijassa-1115	227	20	x.	x.	PROPN
ijassa-1115	227	21	,	,	PUNCT
ijassa-1115	227	22	jia	jia	PROPN
ijassa-1115	227	23	,	,	PUNCT
ijassa-1115	227	24	p.	p.	PROPN
ijassa-1115	227	25	,	,	PUNCT
ijassa-1115	227	26	et	et	PROPN
ijassa-1115	227	27	al	al	PROPN
ijassa-1115	227	28	.	.	PROPN
ijassa-1115	227	29	(	(	PUNCT
ijassa-1115	227	30	2020	2020	NUM
ijassa-1115	227	31	)	)	PUNCT
ijassa-1115	227	32	.	.	PUNCT
ijassa-1115	228	1	estimating	estimate	VERB
ijassa-1115	228	2	the	the	DET
ijassa-1115	228	3	risk	risk	NOUN
ijassa-1115	228	4	on	on	ADP
ijassa-1115	228	5	outbreak	outbreak	NOUN
ijassa-1115	228	6	spreading	spread	VERB
ijassa-1115	228	7	of	of	ADP
ijassa-1115	228	8	2019	2019	NUM
ijassa-1115	228	9	-	-	PUNCT
ijassa-1115	228	10	ncov	ncov	ADV
ijassa-1115	228	11	in	in	ADP
ijassa-1115	228	12	china	china	PROPN
ijassa-1115	228	13	using	use	VERB
ijassa-1115	228	14	transportation	transportation	NOUN
ijassa-1115	228	15	data	datum	NOUN
ijassa-1115	228	16	,	,	PUNCT
ijassa-1115	228	17	medrxiv	medrxiv	X
ijassa-1115	228	18	:	:	PUNCT
ijassa-1115	228	19	2020.02.01.20019984	2020.02.01.20019984	NUM
ijassa-1115	228	20	,	,	PUNCT
ijassa-1115	228	21	[	[	X
ijassa-1115	228	22	online	online	X
ijassa-1115	228	23	]	]	X
ijassa-1115	228	24	.	.	PUNCT
ijassa-1115	229	1	available	available	ADJ
ijassa-1115	229	2	:	:	PUNCT
ijassa-1115	230	1	https://www.medrxiv.org/content/10.1101/2020.02.01.20019984v1	https://www.medrxiv.org/content/10.1101/2020.02.01.20019984v1	X
ijassa-1115	230	2	.	.	PUNCT
ijassa-1115	231	1	[	[	X
ijassa-1115	231	2	24	24	NUM
ijassa-1115	231	3	]	]	SYM
ijassa-1115	231	4	yan	yan	PROPN
ijassa-1115	231	5	,	,	PUNCT
ijassa-1115	231	6	l.	l.	PROPN
ijassa-1115	231	7	,	,	PUNCT
ijassa-1115	231	8	zhang	zhang	PROPN
ijassa-1115	231	9	,	,	PUNCT
ijassa-1115	231	10	h.-t	h.-t	NOUN
ijassa-1115	231	11	.	.	PUNCT
ijassa-1115	231	12	,	,	PUNCT
ijassa-1115	231	13	goncalves	goncalves	PROPN
ijassa-1115	231	14	,	,	PUNCT
ijassa-1115	231	15	j.	j.	PROPN
ijassa-1115	231	16	,	,	PUNCT
ijassa-1115	231	17	xiao	xiao	PROPN
ijassa-1115	231	18	,	,	PUNCT
ijassa-1115	231	19	y.	y.	PROPN
ijassa-1115	231	20	,	,	PUNCT
ijassa-1115	231	21	wang	wang	PROPN
ijassa-1115	231	22	,	,	PUNCT
ijassa-1115	231	23	m.	m.	NOUN
ijassa-1115	231	24	,	,	PUNCT
ijassa-1115	231	25	et	et	PROPN
ijassa-1115	231	26	al	al	PROPN
ijassa-1115	231	27	.	.	PROPN
ijassa-1115	231	28	(	(	PUNCT
ijassa-1115	231	29	2020	2020	NUM
ijassa-1115	231	30	)	)	PUNCT
ijassa-1115	231	31	.	.	PUNCT
ijassa-1115	232	1	a	a	DET
ijassa-1115	232	2	machine	machine	NOUN
ijassa-1115	232	3	learning	learning	NOUN
ijassa-1115	232	4	-	-	PUNCT
ijassa-1115	232	5	based	base	VERB
ijassa-1115	232	6	model	model	NOUN
ijassa-1115	232	7	for	for	ADP
ijassa-1115	232	8	survival	survival	NOUN
ijassa-1115	232	9	prediction	prediction	NOUN
ijassa-1115	232	10	in	in	ADP
ijassa-1115	232	11	patients	patient	NOUN
ijassa-1115	232	12	with	with	ADP
ijassa-1115	232	13	severe	severe	ADJ
ijassa-1115	232	14	covid-19	covid-19	PROPN
ijassa-1115	232	15	infection	infection	NOUN
ijassa-1115	232	16	,	,	PUNCT
ijassa-1115	232	17	medrxiv	medrxiv	INTJ
ijassa-1115	232	18	:	:	PUNCT
ijassa-1115	232	19	2020.02.27.20028027	2020.02.27.20028027	NUM
ijassa-1115	232	20	,	,	PUNCT
ijassa-1115	232	21	[	[	X
ijassa-1115	232	22	online	online	X
ijassa-1115	232	23	]	]	X
ijassa-1115	232	24	.	.	PUNCT
ijassa-1115	233	1	available	available	ADJ
ijassa-1115	233	2	:	:	PUNCT
ijassa-1115	234	1	https://www.medrxiv.org/content/10.1101/2020.02.27.20028027v3	https://www.medrxiv.org/content/10.1101/2020.02.27.20028027v3	X
ijassa-1115	234	2	.	.	PUNCT
ijassa-1115	235	1	[	[	X
ijassa-1115	235	2	25	25	NUM
ijassa-1115	235	3	]	]	X
ijassa-1115	235	4	yan	yan	PROPN
ijassa-1115	235	5	,	,	PUNCT
ijassa-1115	235	6	l.	l.	PROPN
ijassa-1115	235	7	,	,	PUNCT
ijassa-1115	235	8	zhang	zhang	PROPN
ijassa-1115	235	9	,	,	PUNCT
ijassa-1115	235	10	h.-t	h.-t	NOUN
ijassa-1115	235	11	.	.	PUNCT
ijassa-1115	235	12	,	,	PUNCT
ijassa-1115	235	13	xiao	xiao	PROPN
ijassa-1115	235	14	,	,	PUNCT
ijassa-1115	235	15	y.	y.	PROPN
ijassa-1115	235	16	,	,	PUNCT
ijassa-1115	235	17	wang	wang	PROPN
ijassa-1115	235	18	,	,	PUNCT
ijassa-1115	235	19	m.	m.	NOUN
ijassa-1115	235	20	,	,	PUNCT
ijassa-1115	235	21	guo	guo	PROPN
ijassa-1115	235	22	,	,	PUNCT
ijassa-1115	235	23	y.	y.	PROPN
ijassa-1115	235	24	,	,	PUNCT
ijassa-1115	235	25	et	et	PROPN
ijassa-1115	235	26	al	al	PROPN
ijassa-1115	235	27	.	.	PROPN
ijassa-1115	235	28	(	(	PUNCT
ijassa-1115	235	29	2020	2020	NUM
ijassa-1115	235	30	)	)	PUNCT
ijassa-1115	235	31	.	.	PUNCT
ijassa-1115	236	1	prediction	prediction	NOUN
ijassa-1115	236	2	of	of	ADP
ijassa-1115	236	3	criticality	criticality	NOUN
ijassa-1115	236	4	in	in	ADP
ijassa-1115	236	5	patients	patient	NOUN
ijassa-1115	236	6	with	with	ADP
ijassa-1115	236	7	severe	severe	ADJ
ijassa-1115	236	8	covid-19	covid-19	PROPN
ijassa-1115	236	9	infection	infection	NOUN
ijassa-1115	236	10	using	use	VERB
ijassa-1115	236	11	three	three	NUM
ijassa-1115	236	12	clinical	clinical	ADJ
ijassa-1115	236	13	features	feature	NOUN
ijassa-1115	236	14	:	:	PUNCT
ijassa-1115	236	15	a	a	DET
ijassa-1115	236	16	machine	machine	NOUN
ijassa-1115	236	17	learning	learning	NOUN
ijassa-1115	236	18	-	-	PUNCT
ijassa-1115	236	19	based	base	VERB
ijassa-1115	236	20	prognostic	prognostic	ADJ
ijassa-1115	236	21	model	model	NOUN
ijassa-1115	236	22	with	with	ADP
ijassa-1115	236	23	clinical	clinical	ADJ
ijassa-1115	236	24	data	datum	NOUN
ijassa-1115	236	25	in	in	ADP
ijassa-1115	236	26	wuhan	wuhan	PROPN
ijassa-1115	236	27	,	,	PUNCT
ijassa-1115	236	28	medrxiv	medrxiv	PROPN
ijassa-1115	236	29	:	:	PUNCT
ijassa-1115	236	30	2020.02.27.20028027	2020.02.27.20028027	NUM
ijassa-1115	236	31	,	,	PUNCT
ijassa-1115	236	32	[	[	X
ijassa-1115	236	33	online	online	X
ijassa-1115	236	34	]	]	X
ijassa-1115	236	35	.	.	PUNCT
ijassa-1115	237	1	available	available	ADJ
ijassa-1115	237	2	:	:	PUNCT
ijassa-1115	237	3	https://www.medrxiv.org/content/	https://www.medrxiv.org/content/	PROPN
ijassa-1115	237	4	10.1101/2020.02.27.20028027v2	10.1101/2020.02.27.20028027v2	NUM
ijassa-1115	237	5	.	.	PUNCT