id	sid	tid	token	lemma	pos
cana-4800	1	1	communications	communication	NOUN
cana-4800	1	2	on	on	ADP
cana-4800	1	3	applied	apply	VERB
cana-4800	1	4	nonlinear	nonlinear	ADJ
cana-4800	1	5	analysis	analysis	NOUN
cana-4800	1	6	issn	issn	NOUN
cana-4800	1	7	:	:	PUNCT
cana-4800	1	8	1074	1074	NUM
cana-4800	1	9	-	-	PUNCT
cana-4800	1	10	133x	133x	NUM
cana-4800	1	11	vol	vol	VERB
cana-4800	1	12	32	32	NUM
cana-4800	1	13	no	no	NOUN
cana-4800	1	14	.	.	PUNCT
cana-4800	2	1	10s	10	NOUN
cana-4800	2	2	(	(	PUNCT
cana-4800	2	3	2025	2025	NUM
cana-4800	2	4	)	)	PUNCT
cana-4800	2	5	329	329	NUM
cana-4800	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	2	7	deep	deep	ADJ
cana-4800	2	8	sidea	sidea	NOUN
cana-4800	2	9	novel	novel	ADJ
cana-4800	2	10	deep	deep	ADJ
cana-4800	2	11	learning	learning	NOUN
cana-4800	2	12	approach	approach	NOUN
cana-4800	2	13	to	to	ADP
cana-4800	2	14	anticipating	anticipate	VERB
cana-4800	2	15	drug	drug	NOUN
cana-4800	2	16	reactions	reaction	NOUN
cana-4800	2	17	dr.j.gladson	dr.j.gladson	PROPN
cana-4800	2	18	maria	maria	PROPN
cana-4800	2	19	britto	britto	PROPN
cana-4800	2	20	professor	professor	PROPN
cana-4800	2	21	in	in	ADP
cana-4800	2	22	cse	cse	NOUN
cana-4800	2	23	-	-	PUNCT
cana-4800	2	24	ds	ds	PROPN
cana-4800	2	25	&	&	CCONJ
cana-4800	2	26	head	head	PROPN
cana-4800	2	27	,	,	PUNCT
cana-4800	2	28	malla	malla	PROPN
cana-4800	2	29	reddy	reddy	PROPN
cana-4800	2	30	college	college	PROPN
cana-4800	2	31	of	of	ADP
cana-4800	2	32	engineering	engineering	PROPN
cana-4800	2	33	,	,	PUNCT
cana-4800	2	34	maissamaguda	maissamaguda	NOUN
cana-4800	2	35	,	,	PUNCT
cana-4800	2	36	via	via	ADP
cana-4800	2	37	dhulapally	dhulapally	ADV
cana-4800	2	38	,	,	PUNCT
cana-4800	2	39	hyderabad	hyderabad	PROPN
cana-4800	2	40	-500100	-500100	PROPN
cana-4800	2	41	article	article	PROPN
cana-4800	2	42	history	history	NOUN
cana-4800	2	43	:	:	PUNCT
cana-4800	2	44	received	receive	VERB
cana-4800	2	45	:	:	PUNCT
cana-4800	2	46	12	12	NUM
cana-4800	2	47	-	-	SYM
cana-4800	2	48	01	01	NUM
cana-4800	2	49	-	-	PUNCT
cana-4800	2	50	2025	2025	NUM
cana-4800	2	51	revised	revise	VERB
cana-4800	2	52	:	:	PUNCT
cana-4800	2	53	15	15	NUM
cana-4800	2	54	-	-	NUM
cana-4800	2	55	02	02	NUM
cana-4800	2	56	-	-	PUNCT
cana-4800	2	57	2025	2025	NUM
cana-4800	2	58	accepted	accept	VERB
cana-4800	2	59	:	:	PUNCT
cana-4800	2	60	01	01	NUM
cana-4800	2	61	-	-	SYM
cana-4800	2	62	03	03	NUM
cana-4800	2	63	-	-	PUNCT
cana-4800	2	64	2025	2025	NUM
cana-4800	2	65	abstract	abstract	NOUN
cana-4800	2	66	:	:	PUNCT
cana-4800	2	67	both	both	CCONJ
cana-4800	2	68	the	the	DET
cana-4800	2	69	participants	participant	NOUN
cana-4800	2	70	'	'	PART
cana-4800	2	71	health	health	NOUN
cana-4800	2	72	and	and	CCONJ
cana-4800	2	73	the	the	DET
cana-4800	2	74	sponsors	sponsor	NOUN
cana-4800	2	75	'	'	PART
cana-4800	2	76	bottom	bottom	ADJ
cana-4800	2	77	lines	line	NOUN
cana-4800	2	78	are	be	AUX
cana-4800	2	79	jeopardised	jeopardise	VERB
cana-4800	2	80	when	when	SCONJ
cana-4800	2	81	drugs	drug	NOUN
cana-4800	2	82	fail	fail	VERB
cana-4800	2	83	clinical	clinical	ADJ
cana-4800	2	84	trials	trial	NOUN
cana-4800	2	85	owing	owe	VERB
cana-4800	2	86	to	to	ADP
cana-4800	2	87	unanticipated	unanticipated	ADJ
cana-4800	2	88	side	side	NOUN
cana-4800	2	89	effects	effect	NOUN
cana-4800	2	90	.	.	PUNCT
cana-4800	3	1	algorithms	algorithm	NOUN
cana-4800	3	2	that	that	PRON
cana-4800	3	3	can	can	AUX
cana-4800	3	4	forecast	forecast	VERB
cana-4800	3	5	side	side	NOUN
cana-4800	3	6	effects	effect	NOUN
cana-4800	3	7	might	might	AUX
cana-4800	3	8	help	help	VERB
cana-4800	3	9	direct	direct	VERB
cana-4800	3	10	medication	medication	NOUN
cana-4800	3	11	development	development	NOUN
cana-4800	3	12	.	.	PUNCT
cana-4800	4	1	in	in	ADP
cana-4800	4	2	order	order	NOUN
cana-4800	4	3	to	to	PART
cana-4800	4	4	build	build	VERB
cana-4800	4	5	a	a	DET
cana-4800	4	6	knowledge	knowledge	NOUN
cana-4800	4	7	base	base	NOUN
cana-4800	4	8	for	for	ADP
cana-4800	4	9	context	context	NOUN
cana-4800	4	10	specific	specific	ADJ
cana-4800	4	11	aspects	aspect	NOUN
cana-4800	4	12	,	,	PUNCT
cana-4800	4	13	the	the	DET
cana-4800	4	14	lincs	lincs	PROPN
cana-4800	4	15	l1000	l1000	PROPN
cana-4800	4	16	dataset	dataset	NOUN
cana-4800	4	17	compiles	compile	VERB
cana-4800	4	18	extensive	extensive	ADJ
cana-4800	4	19	data	datum	NOUN
cana-4800	4	20	on	on	ADP
cana-4800	4	21	cell	cell	NOUN
cana-4800	4	22	line	line	NOUN
cana-4800	4	23	gene	gene	NOUN
cana-4800	4	24	expression	expression	NOUN
cana-4800	4	25	as	as	SCONJ
cana-4800	4	26	it	it	PRON
cana-4800	4	27	is	be	AUX
cana-4800	4	28	affected	affect	VERB
cana-4800	4	29	by	by	ADP
cana-4800	4	30	various	various	ADJ
cana-4800	4	31	medications	medication	NOUN
cana-4800	4	32	.	.	PUNCT
cana-4800	5	1	the	the	DET
cana-4800	5	2	current	current	ADJ
cana-4800	5	3	gold	gold	NOUN
cana-4800	5	4	standard	standard	NOUN
cana-4800	5	5	for	for	ADP
cana-4800	5	6	contextspecific	contextspecific	ADJ
cana-4800	5	7	data	datum	NOUN
cana-4800	5	8	uses	use	VERB
cana-4800	5	9	just	just	ADV
cana-4800	5	10	the	the	DET
cana-4800	5	11	high	high	ADJ
cana-4800	5	12	-	-	PUNCT
cana-4800	5	13	quality	quality	NOUN
cana-4800	5	14	lincs	linc	NOUN
cana-4800	5	15	l1000	l1000	PROPN
cana-4800	5	16	studies	study	NOUN
cana-4800	5	17	and	and	CCONJ
cana-4800	5	18	ignores	ignore	VERB
cana-4800	5	19	the	the	DET
cana-4800	5	20	rest	rest	NOUN
cana-4800	5	21	.	.	PUNCT
cana-4800	6	1	we	we	PRON
cana-4800	6	2	want	want	VERB
cana-4800	6	3	to	to	PART
cana-4800	6	4	maximise	maximise	VERB
cana-4800	6	5	the	the	DET
cana-4800	6	6	use	use	NOUN
cana-4800	6	7	of	of	ADP
cana-4800	6	8	this	this	DET
cana-4800	6	9	data	datum	NOUN
cana-4800	6	10	in	in	ADP
cana-4800	6	11	order	order	NOUN
cana-4800	6	12	to	to	PART
cana-4800	6	13	improve	improve	VERB
cana-4800	6	14	the	the	DET
cana-4800	6	15	prediction	prediction	NOUN
cana-4800	6	16	performance	performance	NOUN
cana-4800	6	17	in	in	ADP
cana-4800	6	18	this	this	DET
cana-4800	6	19	research	research	NOUN
cana-4800	6	20	.	.	PUNCT
cana-4800	7	1	we	we	PRON
cana-4800	7	2	look	look	VERB
cana-4800	7	3	at	at	ADP
cana-4800	7	4	five	five	NUM
cana-4800	7	5	different	different	ADJ
cana-4800	7	6	deep	deep	ADJ
cana-4800	7	7	learning	learning	NOUN
cana-4800	7	8	architectures	architecture	NOUN
cana-4800	7	9	.	.	PUNCT
cana-4800	8	1	when	when	SCONJ
cana-4800	8	2	using	use	VERB
cana-4800	8	3	drug	drug	NOUN
cana-4800	8	4	chemical	chemical	NOUN
cana-4800	8	5	structure	structure	NOUN
cana-4800	8	6	(	(	PUNCT
cana-4800	8	7	cs	cs	PROPN
cana-4800	8	8	)	)	PUNCT
cana-4800	8	9	and	and	CCONJ
cana-4800	8	10	the	the	DET
cana-4800	8	11	whole	whole	ADJ
cana-4800	8	12	collection	collection	NOUN
cana-4800	8	13	of	of	ADP
cana-4800	8	14	drug	drug	NOUN
cana-4800	8	15	altered	alter	VERB
cana-4800	8	16	gene	gene	NOUN
cana-4800	8	17	expression	expression	NOUN
cana-4800	8	18	profiles	profile	NOUN
cana-4800	8	19	(	(	PUNCT
cana-4800	8	20	gex	gex	NOUN
cana-4800	8	21	)	)	PUNCT
cana-4800	8	22	as	as	ADP
cana-4800	8	23	modalities	modality	NOUN
cana-4800	8	24	,	,	PUNCT
cana-4800	8	25	we	we	PRON
cana-4800	8	26	demonstrate	demonstrate	VERB
cana-4800	8	27	that	that	SCONJ
cana-4800	8	28	a	a	DET
cana-4800	8	29	multi	multi	ADJ
cana-4800	8	30	-	-	ADJ
cana-4800	8	31	modal	modal	ADJ
cana-4800	8	32	design	design	NOUN
cana-4800	8	33	offers	offer	VERB
cana-4800	8	34	the	the	DET
cana-4800	8	35	greatest	great	ADJ
cana-4800	8	36	prediction	prediction	NOUN
cana-4800	8	37	performance	performance	NOUN
cana-4800	8	38	among	among	ADP
cana-4800	8	39	multi	multi	ADJ
cana-4800	8	40	-	-	ADJ
cana-4800	8	41	layer	layer	ADJ
cana-4800	8	42	perceptron	perceptron	NOUN
cana-4800	8	43	-	-	PUNCT
cana-4800	8	44	based	base	VERB
cana-4800	8	45	architectures	architecture	NOUN
cana-4800	8	46	.	.	PUNCT
cana-4800	9	1	we	we	PRON
cana-4800	9	2	find	find	VERB
cana-4800	9	3	the	the	DET
cana-4800	9	4	cs	cs	PROPN
cana-4800	9	5	to	to	PART
cana-4800	9	6	be	be	AUX
cana-4800	9	7	more	more	ADV
cana-4800	9	8	illuminating	illuminating	ADJ
cana-4800	9	9	than	than	ADP
cana-4800	9	10	the	the	DET
cana-4800	9	11	gex	gex	NOUN
cana-4800	9	12	on	on	ADP
cana-4800	9	13	the	the	DET
cana-4800	9	14	whole	whole	NOUN
cana-4800	9	15	.	.	PUNCT
cana-4800	10	1	with	with	ADP
cana-4800	10	2	gains	gain	NOUN
cana-4800	10	3	of	of	ADP
cana-4800	10	4	13	13	NUM
cana-4800	10	5	%	%	NOUN
cana-4800	10	6	in	in	ADP
cana-4800	10	7	macro	macro	NOUN
cana-4800	10	8	-	-	NOUN
cana-4800	10	9	auc	auc	NOUN
cana-4800	10	10	and	and	CCONJ
cana-4800	10	11	3	3	NUM
cana-4800	10	12	%	%	NOUN
cana-4800	10	13	in	in	ADP
cana-4800	10	14	microauc	microauc	NOUN
cana-4800	10	15	compared	compare	VERB
cana-4800	10	16	to	to	ADP
cana-4800	10	17	the	the	DET
cana-4800	10	18	state	state	NOUN
cana-4800	10	19	-	-	PUNCT
cana-4800	10	20	of	of	ADP
cana-4800	10	21	-	-	PUNCT
cana-4800	10	22	the	the	DET
cana-4800	10	23	-	-	PUNCT
cana-4800	10	24	art	art	NOUN
cana-4800	10	25	,	,	PUNCT
cana-4800	10	26	the	the	DET
cana-4800	10	27	greatest	great	ADJ
cana-4800	10	28	results	result	NOUN
cana-4800	10	29	were	be	AUX
cana-4800	10	30	achieved	achieve	VERB
cana-4800	10	31	by	by	ADP
cana-4800	10	32	a	a	DET
cana-4800	10	33	model	model	NOUN
cana-4800	10	34	based	base	VERB
cana-4800	10	35	on	on	ADP
cana-4800	10	36	convolutional	convolutional	ADJ
cana-4800	10	37	neural	neural	ADJ
cana-4800	10	38	networks	network	NOUN
cana-4800	10	39	that	that	PRON
cana-4800	10	40	only	only	ADV
cana-4800	10	41	used	use	VERB
cana-4800	10	42	smiles	smile	NOUN
cana-4800	10	43	string	string	NOUN
cana-4800	10	44	representations	representation	NOUN
cana-4800	10	45	of	of	ADP
cana-4800	10	46	the	the	DET
cana-4800	10	47	medicines	medicine	NOUN
cana-4800	10	48	.	.	PUNCT
cana-4800	11	1	also	also	ADV
cana-4800	11	2	,	,	PUNCT
cana-4800	11	3	we	we	PRON
cana-4800	11	4	demonstrate	demonstrate	VERB
cana-4800	11	5	that	that	SCONJ
cana-4800	11	6	the	the	DET
cana-4800	11	7	model	model	NOUN
cana-4800	11	8	can	can	AUX
cana-4800	11	9	anticipate	anticipate	VERB
cana-4800	11	10	medication	medication	NOUN
cana-4800	11	11	-	-	PUNCT
cana-4800	11	12	side	side	NOUN
cana-4800	11	13	effect	effect	NOUN
cana-4800	11	14	couples	couple	NOUN
cana-4800	11	15	that	that	PRON
cana-4800	11	16	have	have	AUX
cana-4800	11	17	been	be	AUX
cana-4800	11	18	described	describe	VERB
cana-4800	11	19	in	in	ADP
cana-4800	11	20	the	the	DET
cana-4800	11	21	literature	literature	NOUN
cana-4800	11	22	but	but	CCONJ
cana-4800	11	23	were	be	AUX
cana-4800	11	24	absent	absent	ADJ
cana-4800	11	25	from	from	ADP
cana-4800	11	26	the	the	DET
cana-4800	11	27	ground	ground	NOUN
cana-4800	11	28	truth	truth	NOUN
cana-4800	11	29	side	side	NOUN
cana-4800	11	30	effect	effect	NOUN
cana-4800	11	31	dataset	dataset	NOUN
cana-4800	11	32	.	.	PUNCT
cana-4800	12	1	i.introduction	i.introduction	NOUN
cana-4800	12	2	this	this	DET
cana-4800	12	3	study	study	NOUN
cana-4800	12	4	is	be	AUX
cana-4800	12	5	a	a	DET
cana-4800	12	6	major	major	ADJ
cana-4800	12	7	step	step	NOUN
cana-4800	12	8	forward	forward	ADV
cana-4800	12	9	for	for	ADP
cana-4800	12	10	healthcare	healthcare	NOUN
cana-4800	12	11	and	and	CCONJ
cana-4800	12	12	pharmaceutical	pharmaceutical	NOUN
cana-4800	12	13	research	research	NOUN
cana-4800	12	14	.	.	PUNCT
cana-4800	13	1	an	an	DET
cana-4800	13	2	essential	essential	ADJ
cana-4800	13	3	part	part	NOUN
cana-4800	13	4	of	of	ADP
cana-4800	13	5	developing	develop	VERB
cana-4800	13	6	new	new	ADJ
cana-4800	13	7	medications	medication	NOUN
cana-4800	13	8	and	and	CCONJ
cana-4800	13	9	ensuring	ensure	VERB
cana-4800	13	10	patient	patient	ADJ
cana-4800	13	11	safety	safety	NOUN
cana-4800	13	12	is	be	AUX
cana-4800	13	13	anticipating	anticipate	VERB
cana-4800	13	14	their	their	PRON
cana-4800	13	15	possible	possible	ADJ
cana-4800	13	16	negative	negative	ADJ
cana-4800	13	17	effects	effect	NOUN
cana-4800	13	18	.	.	PUNCT
cana-4800	14	1	when	when	SCONJ
cana-4800	14	2	it	it	PRON
cana-4800	14	3	comes	come	VERB
cana-4800	14	4	to	to	ADP
cana-4800	14	5	finding	find	VERB
cana-4800	14	6	side	side	NOUN
cana-4800	14	7	effects	effect	NOUN
cana-4800	14	8	early	early	ADV
cana-4800	14	9	on	on	ADV
cana-4800	14	10	in	in	ADP
cana-4800	14	11	the	the	DET
cana-4800	14	12	drug	drug	NOUN
cana-4800	14	13	development	development	NOUN
cana-4800	14	14	process	process	NOUN
cana-4800	14	15	,	,	PUNCT
cana-4800	14	16	traditional	traditional	ADJ
cana-4800	14	17	approaches	approach	NOUN
cana-4800	14	18	are	be	AUX
cana-4800	14	19	n't	not	PART
cana-4800	14	20	always	always	ADV
cana-4800	14	21	the	the	DET
cana-4800	14	22	most	most	ADV
cana-4800	14	23	accurate	accurate	ADJ
cana-4800	14	24	or	or	CCONJ
cana-4800	14	25	efficient	efficient	ADJ
cana-4800	14	26	.	.	PUNCT
cana-4800	15	1	to	to	PART
cana-4800	15	2	meet	meet	VERB
cana-4800	15	3	this	this	DET
cana-4800	15	4	difficulty	difficulty	NOUN
cana-4800	15	5	,	,	PUNCT
cana-4800	15	6	deepside	deepside	NOUN
cana-4800	15	7	presents	present	VERB
cana-4800	15	8	a	a	DET
cana-4800	15	9	cutting	cutting	NOUN
cana-4800	15	10	-	-	PUNCT
cana-4800	15	11	edge	edge	NOUN
cana-4800	15	12	deep	deep	ADJ
cana-4800	15	13	learning	learning	NOUN
cana-4800	15	14	architecture	architecture	NOUN
cana-4800	15	15	that	that	PRON
cana-4800	15	16	uses	use	VERB
cana-4800	15	17	massive	massive	ADJ
cana-4800	15	18	amounts	amount	NOUN
cana-4800	15	19	of	of	ADP
cana-4800	15	20	medication	medication	NOUN
cana-4800	15	21	data	datum	NOUN
cana-4800	15	22	to	to	PART
cana-4800	15	23	make	make	VERB
cana-4800	15	24	very	very	ADV
cana-4800	15	25	accurate	accurate	ADJ
cana-4800	15	26	predictions	prediction	NOUN
cana-4800	15	27	about	about	ADP
cana-4800	15	28	drug	drug	NOUN
cana-4800	15	29	side	side	NOUN
cana-4800	15	30	effects	effect	NOUN
cana-4800	15	31	.	.	PUNCT
cana-4800	16	1	through	through	ADP
cana-4800	16	2	the	the	DET
cana-4800	16	3	use	use	NOUN
cana-4800	16	4	of	of	ADP
cana-4800	16	5	deep	deep	ADJ
cana-4800	16	6	learning	learning	NOUN
cana-4800	16	7	algorithms	algorithm	NOUN
cana-4800	16	8	,	,	PUNCT
cana-4800	16	9	deepside	deepside	ADV
cana-4800	16	10	intends	intend	VERB
cana-4800	16	11	to	to	PART
cana-4800	16	12	transform	transform	VERB
cana-4800	16	13	the	the	DET
cana-4800	16	14	process	process	NOUN
cana-4800	16	15	of	of	ADP
cana-4800	16	16	medication	medication	NOUN
cana-4800	16	17	safety	safety	NOUN
cana-4800	16	18	evaluation	evaluation	NOUN
cana-4800	16	19	.	.	PUNCT
cana-4800	17	1	this	this	PRON
cana-4800	17	2	will	will	AUX
cana-4800	17	3	allow	allow	VERB
cana-4800	17	4	for	for	ADP
cana-4800	17	5	the	the	DET
cana-4800	17	6	early	early	ADJ
cana-4800	17	7	detection	detection	NOUN
cana-4800	17	8	of	of	ADP
cana-4800	17	9	possible	possible	ADJ
cana-4800	17	10	side	side	NOUN
cana-4800	17	11	effects	effect	NOUN
cana-4800	17	12	and	and	CCONJ
cana-4800	17	13	the	the	DET
cana-4800	17	14	implementation	implementation	NOUN
cana-4800	17	15	of	of	ADP
cana-4800	17	16	proactive	proactive	ADJ
cana-4800	17	17	steps	step	NOUN
cana-4800	17	18	to	to	PART
cana-4800	17	19	reduce	reduce	VERB
cana-4800	17	20	risks	risk	NOUN
cana-4800	17	21	for	for	ADP
cana-4800	17	22	patients	patient	NOUN
cana-4800	17	23	.	.	PUNCT
cana-4800	18	1	ii.existing	ii.existe	VERB
cana-4800	18	2	system	system	NOUN
cana-4800	18	3	in	in	ADP
cana-4800	18	4	the	the	DET
cana-4800	18	5	medical	medical	ADJ
cana-4800	18	6	field	field	NOUN
cana-4800	18	7	,	,	PUNCT
cana-4800	18	8	when	when	SCONJ
cana-4800	18	9	one	one	NUM
cana-4800	18	10	medication	medication	NOUN
cana-4800	18	11	affects	affect	VERB
cana-4800	18	12	the	the	DET
cana-4800	18	13	way	way	NOUN
cana-4800	18	14	another	another	DET
cana-4800	18	15	one	one	NUM
cana-4800	18	16	works	work	VERB
cana-4800	18	17	pharmacologically	pharmacologically	ADV
cana-4800	18	18	,	,	PUNCT
cana-4800	18	19	this	this	PRON
cana-4800	18	20	is	be	AUX
cana-4800	18	21	called	call	VERB
cana-4800	18	22	a	a	DET
cana-4800	18	23	drug	drug	NOUN
cana-4800	18	24	-	-	PUNCT
cana-4800	18	25	drug	drug	NOUN
cana-4800	18	26	interaction	interaction	NOUN
cana-4800	18	27	(	(	PUNCT
cana-4800	18	28	ddi	ddi	PROPN
cana-4800	18	29	)	)	PUNCT
cana-4800	18	30	.	.	PUNCT
cana-4800	19	1	patients	patient	NOUN
cana-4800	19	2	'	'	PART
cana-4800	19	3	treatment	treatment	NOUN
cana-4800	19	4	outcomes	outcome	NOUN
cana-4800	19	5	may	may	AUX
cana-4800	19	6	often	often	ADV
cana-4800	19	7	be	be	AUX
cana-4800	19	8	enhanced	enhance	VERB
cana-4800	19	9	by	by	ADP
cana-4800	19	10	positive	positive	ADJ
cana-4800	19	11	ddis	ddi	NOUN
cana-4800	19	12	,	,	PUNCT
cana-4800	19	13	but	but	CCONJ
cana-4800	19	14	adverse	adverse	ADJ
cana-4800	19	15	drug	drug	NOUN
cana-4800	19	16	responses	response	NOUN
cana-4800	19	17	,	,	PUNCT
cana-4800	19	18	medication	medication	NOUN
cana-4800	19	19	removal	removal	NOUN
cana-4800	19	20	from	from	ADP
cana-4800	19	21	the	the	DET
cana-4800	19	22	market	market	NOUN
cana-4800	19	23	,	,	PUNCT
cana-4800	19	24	and	and	CCONJ
cana-4800	19	25	patient	patient	ADJ
cana-4800	19	26	deaths	death	NOUN
cana-4800	19	27	can	can	AUX
cana-4800	19	28	be	be	AUX
cana-4800	19	29	caused	cause	VERB
cana-4800	19	30	by	by	ADP
cana-4800	19	31	negative	negative	ADJ
cana-4800	19	32	ddis	ddi	NOUN
cana-4800	19	33	.	.	PUNCT
cana-4800	20	1	consequently	consequently	ADV
cana-4800	20	2	,	,	PUNCT
cana-4800	20	3	ddi	ddi	ADJ
cana-4800	20	4	identification	identification	NOUN
cana-4800	20	5	has	have	AUX
cana-4800	20	6	grown	grow	VERB
cana-4800	20	7	in	in	ADP
cana-4800	20	8	importance	importance	NOUN
cana-4800	20	9	in	in	ADP
cana-4800	20	10	the	the	DET
cana-4800	20	11	field	field	NOUN
cana-4800	20	12	of	of	ADP
cana-4800	20	13	medication	medication	NOUN
cana-4800	20	14	development	development	NOUN
cana-4800	20	15	and	and	CCONJ
cana-4800	20	16	illness	illness	NOUN
cana-4800	20	17	therapy	therapy	NOUN
cana-4800	20	18	.	.	PUNCT
cana-4800	21	1	using	use	VERB
cana-4800	21	2	an	an	DET
cana-4800	21	3	existing	exist	VERB
cana-4800	21	4	system	system	NOUN
cana-4800	21	5	,	,	PUNCT
cana-4800	21	6	this	this	DET
cana-4800	21	7	paper	paper	NOUN
cana-4800	21	8	provides	provide	VERB
cana-4800	21	9	a	a	DET
cana-4800	21	10	way	way	NOUN
cana-4800	21	11	to	to	PART
cana-4800	21	12	predict	predict	VERB
cana-4800	21	13	ddis	ddi	NOUN
cana-4800	21	14	using	use	VERB
cana-4800	21	15	ddi	ddi	PROPN
cana-4800	21	16	-	-	PUNCT
cana-4800	21	17	is	be	AUX
cana-4800	21	18	-	-	PUNCT
cana-4800	21	19	sl	sl	NOUN
cana-4800	21	20	,	,	PUNCT
cana-4800	21	21	an	an	DET
cana-4800	21	22	approach	approach	NOUN
cana-4800	21	23	that	that	PRON
cana-4800	21	24	combines	combine	VERB
cana-4800	21	25	integrated	integrated	ADJ
cana-4800	21	26	similarity	similarity	NOUN
cana-4800	21	27	with	with	ADP
cana-4800	21	28	semi	semi	ADJ
cana-4800	21	29	-	-	ADJ
cana-4800	21	30	supervised	supervised	ADJ
cana-4800	21	31	learning	learning	NOUN
cana-4800	21	32	.	.	PUNCT
cana-4800	22	1	in	in	ADP
cana-4800	22	2	order	order	NOUN
cana-4800	22	3	to	to	PART
cana-4800	22	4	determine	determine	VERB
cana-4800	22	5	how	how	SCONJ
cana-4800	22	6	similar	similar	ADJ
cana-4800	22	7	pharmaceuticals	pharmaceutical	NOUN
cana-4800	22	8	are	be	AUX
cana-4800	22	9	in	in	ADP
cana-4800	22	10	terms	term	NOUN
cana-4800	22	11	of	of	ADP
cana-4800	22	12	their	their	PRON
cana-4800	22	13	features	feature	NOUN
cana-4800	22	14	using	use	VERB
cana-4800	22	15	the	the	DET
cana-4800	22	16	cosine	cosine	NOUN
cana-4800	22	17	similarity	similarity	NOUN
cana-4800	22	18	approach	approach	NOUN
cana-4800	22	19	,	,	PUNCT
cana-4800	22	20	ddi	ddi	PROPN
cana-4800	22	21	-	-	PUNCT
cana-4800	22	22	is	be	AUX
cana-4800	22	23	-	-	PUNCT
cana-4800	22	24	sl	sl	NOUN
cana-4800	22	25	incorporates	incorporate	VERB
cana-4800	22	26	data	datum	NOUN
cana-4800	22	27	on	on	ADP
cana-4800	22	28	the	the	DET
cana-4800	22	29	drugs	drug	NOUN
cana-4800	22	30	'	'	PART
cana-4800	22	31	chemicals	chemical	NOUN
cana-4800	22	32	,	,	PUNCT
cana-4800	22	33	biology	biology	NOUN
cana-4800	22	34	,	,	PUNCT
cana-4800	22	35	and	and	CCONJ
cana-4800	22	36	phenotype	phenotype	NOUN
cana-4800	22	37	.	.	PUNCT
cana-4800	23	1	drug	drug	NOUN
cana-4800	23	2	similarity	similarity	NOUN
cana-4800	23	3	as	as	SCONJ
cana-4800	23	4	measured	measure	VERB
cana-4800	23	5	by	by	ADP
cana-4800	23	6	the	the	DET
cana-4800	23	7	gaussian	gaussian	ADJ
cana-4800	23	8	interaction	interaction	NOUN
cana-4800	23	9	profile	profile	NOUN
cana-4800	23	10	kernel	kernel	PROPN
cana-4800	23	11	is	be	AUX
cana-4800	23	12	also	also	ADV
cana-4800	23	13	determined	determine	VERB
cana-4800	23	14	using	use	VERB
cana-4800	23	15	known	know	VERB
cana-4800	23	16	ddis	ddi	NOUN
cana-4800	23	17	.	.	PUNCT
cana-4800	24	1	to	to	PART
cana-4800	24	2	determine	determine	VERB
cana-4800	24	3	the	the	DET
cana-4800	24	4	scores	score	NOUN
cana-4800	24	5	for	for	ADP
cana-4800	24	6	the	the	DET
cana-4800	24	7	potential	potential	NOUN
cana-4800	24	8	of	of	ADP
cana-4800	24	9	interactions	interaction	NOUN
cana-4800	24	10	between	between	ADP
cana-4800	24	11	drugs	drug	NOUN
cana-4800	24	12	,	,	PUNCT
cana-4800	24	13	a	a	DET
cana-4800	24	14	semi	semi	ADJ
cana-4800	24	15	-	-	ADJ
cana-4800	24	16	supervised	supervised	ADJ
cana-4800	24	17	communications	communication	NOUN
cana-4800	24	18	on	on	ADP
cana-4800	24	19	applied	apply	VERB
cana-4800	24	20	nonlinear	nonlinear	ADJ
cana-4800	24	21	analysis	analysis	NOUN
cana-4800	24	22	issn	issn	NOUN
cana-4800	24	23	:	:	PUNCT
cana-4800	24	24	1074	1074	NUM
cana-4800	24	25	-	-	PUNCT
cana-4800	24	26	133x	133x	NUM
cana-4800	24	27	vol	vol	VERB
cana-4800	24	28	32	32	NUM
cana-4800	24	29	no	no	NOUN
cana-4800	24	30	.	.	PUNCT
cana-4800	24	31	10s	10	NOUN
cana-4800	24	32	(	(	PUNCT
cana-4800	24	33	2025	2025	NUM
cana-4800	24	34	)	)	PUNCT
cana-4800	24	35	330	330	NUM
cana-4800	24	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	24	37	learning	learning	NOUN
cana-4800	24	38	technique	technique	NOUN
cana-4800	24	39	called	call	VERB
cana-4800	24	40	the	the	DET
cana-4800	24	41	regularised	regularise	VERB
cana-4800	24	42	least	least	ADJ
cana-4800	24	43	squares	square	NOUN
cana-4800	24	44	classifier	classifier	NOUN
cana-4800	24	45	is	be	AUX
cana-4800	24	46	used	use	VERB
cana-4800	24	47	.	.	PUNCT
cana-4800	25	1	when	when	SCONJ
cana-4800	25	2	compared	compare	VERB
cana-4800	25	3	to	to	ADP
cana-4800	25	4	other	other	ADJ
cana-4800	25	5	approaches	approach	NOUN
cana-4800	25	6	,	,	PUNCT
cana-4800	25	7	ddi	ddi	PROPN
cana-4800	25	8	-	-	PUNCT
cana-4800	25	9	is	be	AUX
cana-4800	25	10	-	-	PUNCT
cana-4800	25	11	sl	sl	NOUN
cana-4800	25	12	achieves	achieve	VERB
cana-4800	25	13	superior	superior	ADJ
cana-4800	25	14	prediction	prediction	NOUN
cana-4800	25	15	performance	performance	NOUN
cana-4800	25	16	in	in	ADP
cana-4800	25	17	5	5	NUM
cana-4800	25	18	-	-	ADJ
cana-4800	25	19	fold	fold	ADJ
cana-4800	25	20	cross	cross	NOUN
cana-4800	25	21	validation	validation	NOUN
cana-4800	25	22	,	,	PUNCT
cana-4800	25	23	10	10	NUM
cana-4800	25	24	-	-	ADJ
cana-4800	25	25	fold	fold	ADJ
cana-4800	25	26	cross	cross	NOUN
cana-4800	25	27	validation	validation	NOUN
cana-4800	25	28	,	,	PUNCT
cana-4800	25	29	and	and	CCONJ
cana-4800	25	30	de	de	ADP
cana-4800	25	31	novo	novo	NOUN
cana-4800	25	32	drug	drug	NOUN
cana-4800	25	33	validation	validation	NOUN
cana-4800	25	34	.	.	PUNCT
cana-4800	26	1	furthermore	furthermore	ADV
cana-4800	26	2	,	,	PUNCT
cana-4800	26	3	ddi	ddi	PROPN
cana-4800	26	4	-	-	PUNCT
cana-4800	26	5	is	be	AUX
cana-4800	26	6	-	-	PUNCT
cana-4800	26	7	sl	sl	NOUN
cana-4800	26	8	outperforms	outperform	VERB
cana-4800	26	9	its	its	PRON
cana-4800	26	10	competitors	competitor	NOUN
cana-4800	26	11	in	in	ADP
cana-4800	26	12	terms	term	NOUN
cana-4800	26	13	of	of	ADP
cana-4800	26	14	average	average	ADJ
cana-4800	26	15	calculation	calculation	NOUN
cana-4800	26	16	time	time	NOUN
cana-4800	26	17	.	.	PUNCT
cana-4800	27	1	lastly	lastly	ADV
cana-4800	27	2	,	,	PUNCT
cana-4800	27	3	ddi	ddi	PROPN
cana-4800	27	4	-	-	PUNCT
cana-4800	27	5	is	be	AUX
cana-4800	27	6	-	-	PUNCT
cana-4800	27	7	sl	sl	NOUN
cana-4800	27	8	's	's	PART
cana-4800	27	9	performance	performance	NOUN
cana-4800	27	10	in	in	ADP
cana-4800	27	11	real	real	ADJ
cana-4800	27	12	-	-	PUNCT
cana-4800	27	13	world	world	NOUN
cana-4800	27	14	applications	application	NOUN
cana-4800	27	15	is	be	AUX
cana-4800	27	16	further	far	ADV
cana-4800	27	17	shown	show	VERB
cana-4800	27	18	via	via	ADP
cana-4800	27	19	case	case	NOUN
cana-4800	27	20	studies	study	NOUN
cana-4800	27	21	.	.	PUNCT
cana-4800	28	1	disadvantages	disadvantage	VERB
cana-4800	28	2	•	•	NUM
cana-4800	28	3	data	datum	NOUN
cana-4800	28	4	complexity	complexity	NOUN
cana-4800	28	5	:	:	PUNCT
cana-4800	28	6	in	in	ADP
cana-4800	28	7	order	order	NOUN
cana-4800	28	8	to	to	PART
cana-4800	28	9	identify	identify	VERB
cana-4800	28	10	drug	drug	NOUN
cana-4800	28	11	side	side	NOUN
cana-4800	28	12	effects	effect	NOUN
cana-4800	28	13	,	,	PUNCT
cana-4800	28	14	most	most	ADJ
cana-4800	28	15	current	current	ADJ
cana-4800	28	16	machine	machine	NOUN
cana-4800	28	17	learning	learn	VERB
cana-4800	28	18	algorithms	algorithm	NOUN
cana-4800	28	19	need	need	VERB
cana-4800	28	20	to	to	PART
cana-4800	28	21	correctly	correctly	ADV
cana-4800	28	22	understand	understand	VERB
cana-4800	28	23	big	big	ADJ
cana-4800	28	24	and	and	CCONJ
cana-4800	28	25	complicated	complicated	ADJ
cana-4800	28	26	datasets	dataset	NOUN
cana-4800	28	27	.	.	PUNCT
cana-4800	29	1	data	datum	NOUN
cana-4800	29	2	accessibility	accessibility	NOUN
cana-4800	29	3	:	:	PUNCT
cana-4800	29	4	in	in	ADP
cana-4800	29	5	order	order	NOUN
cana-4800	29	6	to	to	PART
cana-4800	29	7	provide	provide	VERB
cana-4800	29	8	reliable	reliable	ADJ
cana-4800	29	9	predictions	prediction	NOUN
cana-4800	29	10	,	,	PUNCT
cana-4800	29	11	the	the	DET
cana-4800	29	12	majority	majority	NOUN
cana-4800	29	13	of	of	ADP
cana-4800	29	14	machine	machine	NOUN
cana-4800	29	15	learning	learning	NOUN
cana-4800	29	16	models	model	NOUN
cana-4800	29	17	need	need	VERB
cana-4800	29	18	massive	massive	ADJ
cana-4800	29	19	datasets	dataset	NOUN
cana-4800	29	20	.	.	PUNCT
cana-4800	30	1	model	model	NOUN
cana-4800	30	2	accuracy	accuracy	NOUN
cana-4800	30	3	might	might	AUX
cana-4800	30	4	be	be	AUX
cana-4800	30	5	compromised	compromise	VERB
cana-4800	30	6	in	in	ADP
cana-4800	30	7	the	the	DET
cana-4800	30	8	absence	absence	NOUN
cana-4800	30	9	of	of	ADP
cana-4800	30	10	enough	enough	ADJ
cana-4800	30	11	data	datum	NOUN
cana-4800	30	12	.	.	PUNCT
cana-4800	31	1	•	•	NUM
cana-4800	31	2	mislabeled	mislabele	VERB
cana-4800	31	3	data	datum	NOUN
cana-4800	31	4	:	:	PUNCT
cana-4800	31	5	current	current	ADJ
cana-4800	31	6	ml	ml	NOUN
cana-4800	31	7	models	model	NOUN
cana-4800	31	8	can	can	AUX
cana-4800	31	9	only	only	ADV
cana-4800	31	10	learn	learn	VERB
cana-4800	31	11	as	as	ADV
cana-4800	31	12	much	much	ADJ
cana-4800	31	13	as	as	SCONJ
cana-4800	31	14	the	the	DET
cana-4800	31	15	data	datum	NOUN
cana-4800	31	16	used	use	VERB
cana-4800	31	17	to	to	PART
cana-4800	31	18	train	train	VERB
cana-4800	31	19	them	they	PRON
cana-4800	31	20	.	.	PUNCT
cana-4800	32	1	the	the	DET
cana-4800	32	2	accuracy	accuracy	NOUN
cana-4800	32	3	of	of	ADP
cana-4800	32	4	the	the	DET
cana-4800	32	5	model	model	NOUN
cana-4800	32	6	's	's	PART
cana-4800	32	7	predictions	prediction	NOUN
cana-4800	32	8	is	be	AUX
cana-4800	32	9	dependent	dependent	ADJ
cana-4800	32	10	on	on	ADP
cana-4800	32	11	the	the	DET
cana-4800	32	12	accuracy	accuracy	NOUN
cana-4800	32	13	of	of	ADP
cana-4800	32	14	the	the	DET
cana-4800	32	15	data	data	NOUN
cana-4800	32	16	labels	label	NOUN
cana-4800	32	17	.	.	PUNCT
cana-4800	33	1	iii.proposed	iii.propose	VERB
cana-4800	33	2	system	system	NOUN
cana-4800	33	3	matrix	matrix	NOUN
cana-4800	33	4	-	-	PUNCT
cana-4800	33	5	layer	layer	NOUN
cana-4800	33	6	perceptron	perceptron	NOUN
cana-4800	33	7	after	after	ADP
cana-4800	33	8	taking	take	VERB
cana-4800	33	9	all	all	PRON
cana-4800	33	10	of	of	ADP
cana-4800	33	11	the	the	DET
cana-4800	33	12	input	input	NOUN
cana-4800	33	13	vectors	vector	NOUN
cana-4800	33	14	and	and	CCONJ
cana-4800	33	15	applying	apply	VERB
cana-4800	33	16	a	a	DET
cana-4800	33	17	sequence	sequence	NOUN
cana-4800	33	18	of	of	ADP
cana-4800	33	19	fully	fully	ADV
cana-4800	33	20	-	-	PUNCT
cana-4800	33	21	connected	connect	VERB
cana-4800	33	22	(	(	PUNCT
cana-4800	33	23	fc	fc	INTJ
cana-4800	33	24	)	)	PUNCT
cana-4800	33	25	layers	layer	NOUN
cana-4800	33	26	,	,	PUNCT
cana-4800	33	27	our	our	PRON
cana-4800	33	28	mlp	mlp	NOUN
cana-4800	33	29	[	[	X
cana-4800	33	30	22	22	NUM
cana-4800	33	31	]	]	PUNCT
cana-4800	33	32	model	model	NOUN
cana-4800	33	33	is	be	AUX
cana-4800	33	34	ready	ready	ADJ
cana-4800	33	35	to	to	PART
cana-4800	33	36	go	go	VERB
cana-4800	33	37	.	.	PUNCT
cana-4800	34	1	batch	batch	NOUN
cana-4800	34	2	normalisation	normalisation	NOUN
cana-4800	34	3	layers	layer	NOUN
cana-4800	34	4	follow	follow	VERB
cana-4800	34	5	each	each	DET
cana-4800	34	6	fc	fc	NOUN
cana-4800	34	7	layer	layer	NOUN
cana-4800	35	1	[	[	X
cana-4800	35	2	10	10	NUM
cana-4800	35	3	]	]	PUNCT
cana-4800	35	4	.	.	PUNCT
cana-4800	36	1	with	with	ADP
cana-4800	36	2	a	a	DET
cana-4800	36	3	drop	drop	NOUN
cana-4800	36	4	probability	probability	NOUN
cana-4800	36	5	of	of	ADP
cana-4800	36	6	0:2	0:2	NUM
cana-4800	36	7	,	,	PUNCT
cana-4800	36	8	we	we	PRON
cana-4800	36	9	use	use	VERB
cana-4800	36	10	relu	relu	NOUN
cana-4800	36	11	activation	activation	NOUN
cana-4800	36	12	[	[	X
cana-4800	36	13	16	16	NUM
cana-4800	36	14	]	]	PUNCT
cana-4800	36	15	and	and	CCONJ
cana-4800	36	16	dropout	dropout	NOUN
cana-4800	36	17	regularisation	regularisation	NOUN
cana-4800	36	18	[	[	X
cana-4800	36	19	27	27	NUM
cana-4800	36	20	]	]	PUNCT
cana-4800	36	21	.	.	PUNCT
cana-4800	37	1	to	to	PART
cana-4800	37	2	get	get	VERB
cana-4800	37	3	the	the	DET
cana-4800	37	4	adr	adr	PROPN
cana-4800	37	5	prediction	prediction	NOUN
cana-4800	37	6	probabilities	probability	NOUN
cana-4800	37	7	,	,	PUNCT
cana-4800	37	8	the	the	DET
cana-4800	37	9	last	last	ADJ
cana-4800	37	10	layer	layer	NOUN
cana-4800	37	11	's	's	PART
cana-4800	37	12	outputs	output	NOUN
cana-4800	37	13	are	be	AUX
cana-4800	37	14	passed	pass	VERB
cana-4800	37	15	via	via	ADP
cana-4800	37	16	the	the	DET
cana-4800	37	17	sigmoid	sigmoid	NOUN
cana-4800	37	18	activation	activation	NOUN
cana-4800	37	19	function	function	NOUN
cana-4800	37	20	.	.	PUNCT
cana-4800	38	1	for	for	ADP
cana-4800	38	2	adr	adr	PROPN
cana-4800	38	3	classes	class	NOUN
cana-4800	38	4	,	,	PUNCT
cana-4800	38	5	the	the	DET
cana-4800	38	6	loss	loss	NOUN
cana-4800	38	7	function	function	NOUN
cana-4800	38	8	is	be	AUX
cana-4800	38	9	the	the	DET
cana-4800	38	10	multi	multi	ADJ
cana-4800	38	11	-	-	ADJ
cana-4800	38	12	label	label	ADJ
cana-4800	38	13	binary	binary	ADJ
cana-4800	38	14	cross	cross	NOUN
cana-4800	38	15	-	-	ADJ
cana-4800	38	16	entropy	entropy	ADJ
cana-4800	38	17	loss	loss	NOUN
cana-4800	38	18	(	(	PUNCT
cana-4800	38	19	bce	bce	PROPN
cana-4800	38	20	)	)	PUNCT
cana-4800	38	21	,	,	PUNCT
cana-4800	38	22	which	which	PRON
cana-4800	38	23	is	be	AUX
cana-4800	38	24	defined	define	VERB
cana-4800	38	25	as	as	ADP
cana-4800	38	26	the	the	DET
cana-4800	38	27	sum	sum	NOUN
cana-4800	38	28	of	of	ADP
cana-4800	38	29	negative	negative	ADJ
cana-4800	38	30	logprobabilities	logprobabilitie	NOUN
cana-4800	38	31	.	.	PUNCT
cana-4800	39	1	this	this	DET
cana-4800	39	2	system	system	NOUN
cana-4800	39	3	demonstrates	demonstrate	VERB
cana-4800	39	4	the	the	DET
cana-4800	39	5	architecture	architecture	NOUN
cana-4800	39	6	of	of	ADP
cana-4800	39	7	cs	cs	PROPN
cana-4800	39	8	and	and	CCONJ
cana-4800	39	9	gex	gex	PROPN
cana-4800	39	10	functionalities	functionalities	PROPN
cana-4800	39	11	.	.	PUNCT
cana-4800	40	1	the	the	DET
cana-4800	40	2	resmlp	resmlp	NOUN
cana-4800	40	3	is	be	AUX
cana-4800	40	4	short	short	ADJ
cana-4800	40	5	for	for	ADP
cana-4800	40	6	residual	residual	ADJ
cana-4800	40	7	multi	multi	ADJ
cana-4800	40	8	-	-	ADJ
cana-4800	40	9	layer	layer	ADJ
cana-4800	40	10	perceptron	perceptron	PROPN
cana-4800	40	11	model	model	PROPN
cana-4800	40	12	.	.	PUNCT
cana-4800	41	1	using	use	VERB
cana-4800	41	2	residual	residual	ADJ
cana-4800	41	3	-	-	PUNCT
cana-4800	41	4	connections	connection	NOUN
cana-4800	41	5	across	across	ADP
cana-4800	41	6	the	the	DET
cana-4800	41	7	fullyconnected	fullyconnected	ADJ
cana-4800	41	8	layers	layer	NOUN
cana-4800	41	9	,	,	PUNCT
cana-4800	41	10	the	the	DET
cana-4800	41	11	residual	residual	ADJ
cana-4800	41	12	multi	multi	ADJ
cana-4800	41	13	-	-	ADJ
cana-4800	41	14	layer	layer	ADJ
cana-4800	41	15	perceptron	perceptron	NOUN
cana-4800	41	16	(	(	PUNCT
cana-4800	41	17	resmlp	resmlp	NOUN
cana-4800	41	18	)	)	PUNCT
cana-4800	41	19	architecture	architecture	NOUN
cana-4800	41	20	is	be	AUX
cana-4800	41	21	somewhat	somewhat	ADV
cana-4800	41	22	similar	similar	ADJ
cana-4800	41	23	to	to	ADP
cana-4800	41	24	mlp	mlp	PROPN
cana-4800	41	25	.	.	PUNCT
cana-4800	42	1	the	the	DET
cana-4800	42	2	input	input	NOUN
cana-4800	42	3	of	of	ADP
cana-4800	42	4	each	each	DET
cana-4800	42	5	intermediate	intermediate	ADJ
cana-4800	42	6	layer	layer	NOUN
cana-4800	42	7	is	be	AUX
cana-4800	42	8	added	add	VERB
cana-4800	42	9	element	element	NOUN
cana-4800	42	10	-	-	ADJ
cana-4800	42	11	wise	wise	ADJ
cana-4800	42	12	to	to	ADP
cana-4800	42	13	its	its	PRON
cana-4800	42	14	output	output	NOUN
cana-4800	42	15	before	before	ADP
cana-4800	42	16	moving	move	VERB
cana-4800	42	17	on	on	ADP
cana-4800	42	18	to	to	ADP
cana-4800	42	19	the	the	DET
cana-4800	42	20	next	next	ADJ
cana-4800	42	21	layer	layer	NOUN
cana-4800	42	22	for	for	ADP
cana-4800	42	23	processing	processing	NOUN
cana-4800	42	24	.	.	PUNCT
cana-4800	43	1	research	research	NOUN
cana-4800	43	2	has	have	AUX
cana-4800	43	3	shown	show	VERB
cana-4800	43	4	that	that	SCONJ
cana-4800	43	5	these	these	DET
cana-4800	43	6	remaining	remain	VERB
cana-4800	43	7	connections	connection	NOUN
cana-4800	43	8	significantly	significantly	ADV
cana-4800	43	9	mitigate	mitigate	VERB
cana-4800	43	10	the	the	DET
cana-4800	43	11	vanishing	vanish	VERB
cana-4800	43	12	gradient	gradient	NOUN
cana-4800	43	13	issue	issue	NOUN
cana-4800	43	14	[	[	X
cana-4800	43	15	7	7	NUM
cana-4800	43	16	]	]	PUNCT
cana-4800	43	17	.	.	PUNCT
cana-4800	44	1	this	this	PRON
cana-4800	44	2	paves	pave	VERB
cana-4800	44	3	the	the	DET
cana-4800	44	4	way	way	NOUN
cana-4800	44	5	for	for	SCONJ
cana-4800	44	6	more	more	ADV
cana-4800	44	7	complicated	complicated	ADJ
cana-4800	44	8	and	and	CCONJ
cana-4800	44	9	parameter	parameter	NOUN
cana-4800	44	10	-	-	PUNCT
cana-4800	44	11	efficient	efficient	ADJ
cana-4800	44	12	feature	feature	NOUN
cana-4800	44	13	extractors	extractor	NOUN
cana-4800	44	14	to	to	PART
cana-4800	44	15	be	be	AUX
cana-4800	44	16	learnt	learn	VERB
cana-4800	44	17	by	by	ADP
cana-4800	44	18	deeper	deep	ADJ
cana-4800	44	19	architectures	architecture	NOUN
cana-4800	44	20	.	.	PUNCT
cana-4800	45	1	efficient	efficient	ADJ
cana-4800	45	2	multi	multi	ADJ
cana-4800	45	3	-	-	ADJ
cana-4800	45	4	modal	modal	ADJ
cana-4800	45	5	neural	neural	ADJ
cana-4800	45	6	networks	network	NOUN
cana-4800	45	7	separate	separate	VERB
cana-4800	45	8	multi	multi	ADJ
cana-4800	45	9	-	-	ADJ
cana-4800	45	10	layer	layer	ADJ
cana-4800	45	11	perceptron	perceptron	NOUN
cana-4800	45	12	(	(	PUNCT
cana-4800	45	13	mlp	mlp	NOUN
cana-4800	45	14	)	)	PUNCT
cana-4800	45	15	sub	sub	NOUN
cana-4800	45	16	-	-	NOUN
cana-4800	45	17	networks	network	NOUN
cana-4800	45	18	,	,	PUNCT
cana-4800	45	19	each	each	PRON
cana-4800	45	20	of	of	ADP
cana-4800	45	21	which	which	PRON
cana-4800	45	22	extracts	extract	VERB
cana-4800	45	23	features	feature	NOUN
cana-4800	45	24	from	from	ADP
cana-4800	45	25	a	a	DET
cana-4800	45	26	single	single	ADJ
cana-4800	45	27	data	datum	NOUN
cana-4800	45	28	modality	modality	NOUN
cana-4800	45	29	,	,	PUNCT
cana-4800	45	30	make	make	VERB
cana-4800	45	31	up	up	ADP
cana-4800	45	32	the	the	DET
cana-4800	45	33	multi	multi	ADJ
cana-4800	45	34	-	-	ADJ
cana-4800	45	35	modal	modal	ADJ
cana-4800	45	36	neural	neural	ADJ
cana-4800	45	37	network	network	NOUN
cana-4800	45	38	technique	technique	NOUN
cana-4800	45	39	.	.	PUNCT
cana-4800	46	1	the	the	DET
cana-4800	46	2	categorisation	categorisation	NOUN
cana-4800	46	3	block	block	NOUN
cana-4800	46	4	receives	receive	VERB
cana-4800	46	5	fused	fuse	VERB
cana-4800	46	6	outputs	output	NOUN
cana-4800	46	7	from	from	ADP
cana-4800	46	8	various	various	ADJ
cana-4800	46	9	sub	sub	NOUN
cana-4800	46	10	-	-	NOUN
cana-4800	46	11	networks	network	NOUN
cana-4800	46	12	.	.	PUNCT
cana-4800	47	1	we	we	PRON
cana-4800	47	2	examine	examine	VERB
cana-4800	47	3	two	two	NUM
cana-4800	47	4	approaches	approach	NOUN
cana-4800	47	5	,	,	PUNCT
cana-4800	47	6	concatenation	concatenation	NOUN
cana-4800	47	7	and	and	CCONJ
cana-4800	47	8	summation	summation	NOUN
cana-4800	47	9	,	,	PUNCT
cana-4800	47	10	for	for	ADP
cana-4800	47	11	feature	feature	NOUN
cana-4800	47	12	fusion	fusion	NOUN
cana-4800	47	13	.	.	PUNCT
cana-4800	48	1	the	the	DET
cana-4800	48	2	first	first	ADJ
cana-4800	48	3	one	one	NOUN
cana-4800	48	4	does	do	VERB
cana-4800	48	5	element	element	ADJ
cana-4800	48	6	-	-	PUNCT
cana-4800	48	7	wise	wise	ADJ
cana-4800	48	8	summation	summation	NOUN
cana-4800	48	9	,	,	PUNCT
cana-4800	48	10	while	while	SCONJ
cana-4800	48	11	the	the	DET
cana-4800	48	12	second	second	ADJ
cana-4800	48	13	one	one	NOUN
cana-4800	48	14	joins	join	VERB
cana-4800	48	15	the	the	DET
cana-4800	48	16	domain	domain	NOUN
cana-4800	48	17	-	-	PUNCT
cana-4800	48	18	specific	specific	ADJ
cana-4800	48	19	feature	feature	NOUN
cana-4800	48	20	vectors	vector	NOUN
cana-4800	48	21	into	into	ADP
cana-4800	48	22	a	a	DET
cana-4800	48	23	bigger	big	ADJ
cana-4800	48	24	one	one	NOUN
cana-4800	48	25	.	.	PUNCT
cana-4800	49	1	when	when	SCONJ
cana-4800	49	2	it	it	PRON
cana-4800	49	3	comes	come	VERB
cana-4800	49	4	to	to	ADP
cana-4800	49	5	summation	summation	NOUN
cana-4800	49	6	-	-	PUNCT
cana-4800	49	7	based	base	VERB
cana-4800	49	8	fusion	fusion	NOUN
cana-4800	49	9	,	,	PUNCT
cana-4800	49	10	the	the	DET
cana-4800	49	11	sub	sub	NOUN
cana-4800	49	12	-	-	NOUN
cana-4800	49	13	networks	network	NOUN
cana-4800	49	14	for	for	ADP
cana-4800	49	15	domain	domain	NOUN
cana-4800	49	16	-	-	PUNCT
cana-4800	49	17	specific	specific	ADJ
cana-4800	49	18	feature	feature	NOUN
cana-4800	49	19	extraction	extraction	NOUN
cana-4800	49	20	must	must	AUX
cana-4800	49	21	be	be	AUX
cana-4800	49	22	built	build	VERB
cana-4800	49	23	with	with	ADP
cana-4800	49	24	the	the	DET
cana-4800	49	25	intention	intention	NOUN
cana-4800	49	26	of	of	ADP
cana-4800	49	27	producing	produce	VERB
cana-4800	49	28	vectors	vector	NOUN
cana-4800	49	29	of	of	ADP
cana-4800	49	30	equal	equal	ADJ
cana-4800	49	31	sizes	size	NOUN
cana-4800	49	32	.	.	PUNCT
cana-4800	50	1	we	we	PRON
cana-4800	50	2	call	call	VERB
cana-4800	50	3	the	the	DET
cana-4800	50	4	mmnn	mmnn	ADJ
cana-4800	50	5	networks	network	NOUN
cana-4800	50	6	that	that	PRON
cana-4800	50	7	use	use	VERB
cana-4800	50	8	concatenation	concatenation	NOUN
cana-4800	50	9	mmnn.concat	mmnn.concat	PROPN
cana-4800	50	10	and	and	CCONJ
cana-4800	50	11	the	the	DET
cana-4800	50	12	mmnn	mmnn	ADJ
cana-4800	50	13	networks	network	NOUN
cana-4800	50	14	that	that	PRON
cana-4800	50	15	use	use	VERB
cana-4800	50	16	summation	summation	NOUN
cana-4800	50	17	mmnn.sum	mmnn.sum	NOUN
cana-4800	50	18	.	.	PUNCT
cana-4800	51	1	the	the	DET
cana-4800	51	2	goal	goal	NOUN
cana-4800	51	3	of	of	ADP
cana-4800	51	4	our	our	PRON
cana-4800	51	5	multitask	multitask	ADJ
cana-4800	51	6	learning	learning	NOUN
cana-4800	51	7	(	(	PUNCT
cana-4800	51	8	mtl	mtl	PROPN
cana-4800	51	9	)	)	PUNCT
cana-4800	51	10	based	base	VERB
cana-4800	51	11	architecture	architecture	NOUN
cana-4800	51	12	,	,	PUNCT
cana-4800	51	13	which	which	PRON
cana-4800	51	14	is	be	AUX
cana-4800	51	15	a	a	DET
cana-4800	51	16	multitask	multitask	ADJ
cana-4800	51	17	neural	neural	ADJ
cana-4800	51	18	network	network	NOUN
cana-4800	51	19	(	(	PUNCT
cana-4800	51	20	mtnn	mtnn	PROPN
cana-4800	51	21	)	)	PUNCT
cana-4800	51	22	,	,	PUNCT
cana-4800	51	23	is	be	AUX
cana-4800	51	24	to	to	PART
cana-4800	51	25	include	include	VERB
cana-4800	51	26	the	the	DET
cana-4800	51	27	adrecs	adrec	NOUN
cana-4800	51	28	taxonomy	taxonomy	NOUN
cana-4800	51	29	-	-	PUNCT
cana-4800	51	30	derived	derive	VERB
cana-4800	51	31	side	side	NOUN
cana-4800	51	32	effect	effect	NOUN
cana-4800	51	33	categories	category	NOUN
cana-4800	51	34	.	.	PUNCT
cana-4800	52	1	this	this	PRON
cana-4800	52	2	is	be	AUX
cana-4800	52	3	achieved	achieve	VERB
cana-4800	52	4	by	by	ADP
cana-4800	52	5	defining	define	VERB
cana-4800	52	6	mlp	mlp	PROPN
cana-4800	52	7	sub	sub	ADJ
cana-4800	52	8	-	-	NOUN
cana-4800	52	9	network	network	ADJ
cana-4800	52	10	blocks	block	NOUN
cana-4800	52	11	that	that	PRON
cana-4800	52	12	are	be	AUX
cana-4800	52	13	both	both	CCONJ
cana-4800	52	14	common	common	ADJ
cana-4800	52	15	and	and	CCONJ
cana-4800	52	16	task	task	NOUN
cana-4800	52	17	-	-	PUNCT
cana-4800	52	18	specific	specific	NOUN
cana-4800	52	19	in	in	ADP
cana-4800	52	20	the	the	DET
cana-4800	52	21	approach	approach	NOUN
cana-4800	52	22	.	.	PUNCT
cana-4800	53	1	the	the	DET
cana-4800	53	2	combined	combined	PROPN
cana-4800	53	3	gex	gex	PROPN
cana-4800	53	4	and	and	CCONJ
cana-4800	53	5	cs	cs	PROPN
cana-4800	53	6	feature	feature	NOUN
cana-4800	53	7	set	set	NOUN
cana-4800	53	8	is	be	AUX
cana-4800	53	9	sent	send	VERB
cana-4800	53	10	into	into	ADP
cana-4800	53	11	the	the	DET
cana-4800	53	12	shared	share	VERB
cana-4800	53	13	block	block	NOUN
cana-4800	53	14	,	,	PUNCT
cana-4800	53	15	which	which	PRON
cana-4800	53	16	then	then	ADV
cana-4800	53	17	produces	produce	VERB
cana-4800	53	18	a	a	DET
cana-4800	53	19	joint	joint	ADJ
cana-4800	53	20	embedding	embed	VERB
cana-4800	53	21	.	.	PUNCT
cana-4800	54	1	then	then	ADV
cana-4800	54	2	,	,	PUNCT
cana-4800	54	3	given	give	VERB
cana-4800	54	4	a	a	DET
cana-4800	54	5	group	group	NOUN
cana-4800	54	6	of	of	ADP
cana-4800	54	7	interconnected	interconnected	ADJ
cana-4800	54	8	side	side	NOUN
cana-4800	54	9	-	-	PUNCT
cana-4800	54	10	effect	effect	NOUN
cana-4800	54	11	classes	class	NOUN
cana-4800	54	12	,	,	PUNCT
cana-4800	54	13	each	each	DET
cana-4800	54	14	task	task	NOUN
cana-4800	54	15	-	-	PUNCT
cana-4800	54	16	specific	specific	ADJ
cana-4800	54	17	sub	sub	NOUN
cana-4800	54	18	-	-	NOUN
cana-4800	54	19	network	network	NOUN
cana-4800	54	20	transforms	transform	VERB
cana-4800	54	21	the	the	DET
cana-4800	54	22	joint	joint	NOUN
cana-4800	54	23	embedding	embed	VERB
cana-4800	54	24	into	into	ADP
cana-4800	54	25	a	a	DET
cana-4800	54	26	vector	vector	NOUN
cana-4800	54	27	of	of	ADP
cana-4800	54	28	binary	binary	ADJ
cana-4800	54	29	prediction	prediction	NOUN
cana-4800	54	30	scores	score	NOUN
cana-4800	54	31	.	.	PUNCT
cana-4800	55	1	advantages	advantage	NOUN
cana-4800	55	2	the	the	DET
cana-4800	55	3	system	system	NOUN
cana-4800	55	4	that	that	PRON
cana-4800	55	5	was	be	AUX
cana-4800	55	6	suggested	suggest	VERB
cana-4800	55	7	used	use	VERB
cana-4800	55	8	a	a	DET
cana-4800	55	9	lot	lot	NOUN
cana-4800	55	10	of	of	ADP
cana-4800	55	11	ml	ml	NOUN
cana-4800	55	12	classifiers	classifier	NOUN
cana-4800	55	13	for	for	ADP
cana-4800	55	14	both	both	DET
cana-4800	55	15	testing	testing	NOUN
cana-4800	55	16	and	and	CCONJ
cana-4800	55	17	training	training	NOUN
cana-4800	55	18	on	on	ADP
cana-4800	55	19	datasets	dataset	NOUN
cana-4800	55	20	.	.	PUNCT
cana-4800	56	1	it	it	PRON
cana-4800	56	2	also	also	ADV
cana-4800	56	3	created	create	VERB
cana-4800	56	4	convolutional	convolutional	ADJ
cana-4800	56	5	neural	neural	ADJ
cana-4800	56	6	networks	network	NOUN
cana-4800	56	7	(	(	PUNCT
cana-4800	56	8	cnns	cnns	PROPN
cana-4800	56	9	)	)	PUNCT
cana-4800	56	10	,	,	PUNCT
cana-4800	56	11	which	which	PRON
cana-4800	56	12	are	be	AUX
cana-4800	56	13	a	a	DET
cana-4800	56	14	great	great	ADJ
cana-4800	56	15	tool	tool	NOUN
cana-4800	56	16	for	for	ADP
cana-4800	56	17	automatically	automatically	ADV
cana-4800	56	18	learning	learn	VERB
cana-4800	56	19	vision	vision	NOUN
cana-4800	56	20	tasks	task	NOUN
cana-4800	56	21	'	'	PART
cana-4800	56	22	complex	complex	ADJ
cana-4800	56	23	features	feature	NOUN
cana-4800	56	24	and	and	CCONJ
cana-4800	56	25	finding	find	VERB
cana-4800	56	26	accurate	accurate	ADJ
cana-4800	56	27	results	result	NOUN
cana-4800	56	28	on	on	ADP
cana-4800	56	29	those	those	DET
cana-4800	56	30	datasets	dataset	NOUN
cana-4800	56	31	.	.	PUNCT
cana-4800	57	1	communications	communication	NOUN
cana-4800	57	2	on	on	ADP
cana-4800	57	3	applied	apply	VERB
cana-4800	57	4	nonlinear	nonlinear	ADJ
cana-4800	57	5	analysis	analysis	NOUN
cana-4800	57	6	issn	issn	NOUN
cana-4800	57	7	:	:	PUNCT
cana-4800	57	8	1074	1074	NUM
cana-4800	57	9	-	-	PUNCT
cana-4800	57	10	133x	133x	NUM
cana-4800	57	11	vol	vol	VERB
cana-4800	57	12	32	32	NUM
cana-4800	57	13	no	no	NOUN
cana-4800	57	14	.	.	PUNCT
cana-4800	58	1	10s	10	NOUN
cana-4800	58	2	(	(	PUNCT
cana-4800	58	3	2025	2025	NUM
cana-4800	58	4	)	)	PUNCT
cana-4800	59	1	331	331	NUM
cana-4800	59	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	59	3	iv.modules	iv.modules	ADP
cana-4800	59	4	➢	➢	NOUN
cana-4800	59	5	service	service	NOUN
cana-4800	59	6	provider	provider	NOUN
cana-4800	59	7	communications	communication	NOUN
cana-4800	59	8	on	on	ADP
cana-4800	59	9	applied	apply	VERB
cana-4800	59	10	nonlinear	nonlinear	ADJ
cana-4800	59	11	analysis	analysis	NOUN
cana-4800	59	12	issn	issn	NOUN
cana-4800	59	13	:	:	PUNCT
cana-4800	59	14	1074	1074	NUM
cana-4800	59	15	-	-	PUNCT
cana-4800	59	16	133x	133x	NUM
cana-4800	59	17	vol	vol	VERB
cana-4800	59	18	32	32	NUM
cana-4800	59	19	no	no	NOUN
cana-4800	59	20	.	.	PUNCT
cana-4800	60	1	10s	10	NOUN
cana-4800	60	2	(	(	PUNCT
cana-4800	60	3	2025	2025	NUM
cana-4800	60	4	)	)	PUNCT
cana-4800	60	5	332	332	NUM
cana-4800	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	60	7	➢	➢	NOUN
cana-4800	60	8	view	view	VERB
cana-4800	60	9	and	and	CCONJ
cana-4800	60	10	authorize	authorize	VERB
cana-4800	60	11	users	user	NOUN
cana-4800	60	12	in	in	ADP
cana-4800	60	13	this	this	DET
cana-4800	60	14	module	module	NOUN
cana-4800	60	15	,	,	PUNCT
cana-4800	60	16	the	the	DET
cana-4800	60	17	admin	admin	NOUN
cana-4800	60	18	can	can	AUX
cana-4800	60	19	view	view	VERB
cana-4800	60	20	the	the	DET
cana-4800	60	21	list	list	NOUN
cana-4800	60	22	of	of	ADP
cana-4800	60	23	users	user	NOUN
cana-4800	60	24	who	who	PRON
cana-4800	60	25	all	all	PRON
cana-4800	60	26	registered	register	VERB
cana-4800	60	27	.	.	PUNCT
cana-4800	61	1	in	in	ADP
cana-4800	61	2	this	this	PRON
cana-4800	61	3	,	,	PUNCT
cana-4800	61	4	the	the	DET
cana-4800	61	5	admin	admin	NOUN
cana-4800	61	6	can	can	AUX
cana-4800	61	7	view	view	VERB
cana-4800	61	8	the	the	DET
cana-4800	61	9	user	user	NOUN
cana-4800	61	10	’s	’s	PART
cana-4800	61	11	details	detail	NOUN
cana-4800	61	12	such	such	ADJ
cana-4800	61	13	as	as	ADP
cana-4800	61	14	,	,	PUNCT
cana-4800	61	15	user	user	NOUN
cana-4800	61	16	name	name	NOUN
cana-4800	61	17	,	,	PUNCT
cana-4800	61	18	email	email	NOUN
cana-4800	61	19	,	,	PUNCT
cana-4800	61	20	address	address	NOUN
cana-4800	61	21	and	and	CCONJ
cana-4800	61	22	admin	admin	NOUN
cana-4800	61	23	authorizes	authorize	VERB
cana-4800	61	24	the	the	DET
cana-4800	61	25	users	user	NOUN
cana-4800	61	26	.	.	PUNCT
cana-4800	62	1	➢	➢	VERB
cana-4800	62	2	remote	remote	ADJ
cana-4800	62	3	user	user	NOUN
cana-4800	62	4	in	in	ADP
cana-4800	62	5	this	this	DET
cana-4800	62	6	module	module	NOUN
cana-4800	62	7	,	,	PUNCT
cana-4800	62	8	.	.	PUNCT
cana-4800	63	1	user	user	NOUN
cana-4800	63	2	should	should	AUX
cana-4800	63	3	register	register	VERB
cana-4800	63	4	before	before	ADP
cana-4800	63	5	doing	do	VERB
cana-4800	63	6	any	any	DET
cana-4800	63	7	operations	operation	NOUN
cana-4800	63	8	.	.	PUNCT
cana-4800	64	1	communications	communication	NOUN
cana-4800	64	2	on	on	ADP
cana-4800	64	3	applied	apply	VERB
cana-4800	64	4	nonlinear	nonlinear	ADJ
cana-4800	64	5	analysis	analysis	NOUN
cana-4800	64	6	issn	issn	NOUN
cana-4800	64	7	:	:	PUNCT
cana-4800	64	8	1074	1074	NUM
cana-4800	64	9	-	-	PUNCT
cana-4800	64	10	133x	133x	NUM
cana-4800	64	11	vol	vol	VERB
cana-4800	64	12	32	32	NUM
cana-4800	64	13	no	no	NOUN
cana-4800	64	14	.	.	PUNCT
cana-4800	65	1	10s	10	NOUN
cana-4800	65	2	(	(	PUNCT
cana-4800	65	3	2025	2025	NUM
cana-4800	65	4	)	)	PUNCT
cana-4800	65	5	333	333	NUM
cana-4800	65	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	65	7	v.conclusion	v.conclusion	NOUN
cana-4800	65	8	to	to	PART
cana-4800	65	9	sum	sum	VERB
cana-4800	65	10	up	up	ADP
cana-4800	65	11	,	,	PUNCT
cana-4800	65	12	the	the	DET
cana-4800	65	13	"	"	PUNCT
cana-4800	65	14	deepside	deepside	NOUN
cana-4800	65	15	:	:	PUNCT
cana-4800	65	16	a	a	DET
cana-4800	65	17	deep	deep	ADJ
cana-4800	65	18	learning	learning	NOUN
cana-4800	65	19	framework	framework	NOUN
cana-4800	65	20	for	for	ADP
cana-4800	65	21	drug	drug	NOUN
cana-4800	65	22	side	side	NOUN
cana-4800	65	23	effect	effect	NOUN
cana-4800	65	24	prediction	prediction	NOUN
cana-4800	65	25	"	"	PUNCT
cana-4800	65	26	project	project	NOUN
cana-4800	65	27	is	be	AUX
cana-4800	65	28	very	very	ADV
cana-4800	65	29	promising	promising	ADJ
cana-4800	65	30	in	in	ADP
cana-4800	65	31	terms	term	NOUN
cana-4800	65	32	of	of	ADP
cana-4800	65	33	improving	improve	VERB
cana-4800	65	34	patient	patient	ADJ
cana-4800	65	35	care	care	NOUN
cana-4800	65	36	and	and	CCONJ
cana-4800	65	37	medication	medication	NOUN
cana-4800	65	38	safety	safety	NOUN
cana-4800	65	39	evaluation	evaluation	NOUN
cana-4800	65	40	.	.	PUNCT
cana-4800	66	1	improving	improve	VERB
cana-4800	66	2	patient	patient	ADJ
cana-4800	66	3	safety	safety	NOUN
cana-4800	66	4	and	and	CCONJ
cana-4800	66	5	decreasing	decrease	VERB
cana-4800	66	6	adverse	adverse	ADJ
cana-4800	66	7	medication	medication	NOUN
cana-4800	66	8	responses	response	NOUN
cana-4800	66	9	are	be	AUX
cana-4800	66	10	the	the	DET
cana-4800	66	11	goals	goal	NOUN
cana-4800	66	12	of	of	ADP
cana-4800	66	13	deepside	deepside	NOUN
cana-4800	66	14	,	,	PUNCT
cana-4800	66	15	a	a	DET
cana-4800	66	16	novel	novel	ADJ
cana-4800	66	17	deep	deep	ADJ
cana-4800	66	18	learning	learning	NOUN
cana-4800	66	19	system	system	NOUN
cana-4800	66	20	that	that	PRON
cana-4800	66	21	attempts	attempt	VERB
cana-4800	66	22	to	to	PART
cana-4800	66	23	improve	improve	VERB
cana-4800	66	24	the	the	DET
cana-4800	66	25	accuracy	accuracy	NOUN
cana-4800	66	26	and	and	CCONJ
cana-4800	66	27	efficiency	efficiency	NOUN
cana-4800	66	28	of	of	ADP
cana-4800	66	29	pharmacological	pharmacological	ADJ
cana-4800	66	30	side	side	NOUN
cana-4800	66	31	effect	effect	NOUN
cana-4800	66	32	prediction	prediction	NOUN
cana-4800	66	33	.	.	PUNCT
cana-4800	67	1	drug	drug	NOUN
cana-4800	67	2	safety	safety	NOUN
cana-4800	67	3	assessment	assessment	NOUN
cana-4800	67	4	has	have	AUX
cana-4800	67	5	never	never	ADV
cana-4800	67	6	been	be	AUX
cana-4800	67	7	easier	easy	ADJ
cana-4800	67	8	than	than	ADP
cana-4800	67	9	with	with	ADP
cana-4800	67	10	deepside	deepside	NOUN
cana-4800	67	11	's	's	PART
cana-4800	67	12	revolutionary	revolutionary	ADJ
cana-4800	67	13	combination	combination	NOUN
cana-4800	67	14	of	of	ADP
cana-4800	67	15	massive	massive	ADJ
cana-4800	67	16	drug	drug	NOUN
cana-4800	67	17	datasets	dataset	NOUN
cana-4800	67	18	and	and	CCONJ
cana-4800	67	19	state	state	NOUN
cana-4800	67	20	-	-	PUNCT
cana-4800	67	21	of	of	ADP
cana-4800	67	22	-	-	PUNCT
cana-4800	67	23	the	the	DET
cana-4800	67	24	-	-	PUNCT
cana-4800	67	25	art	art	NOUN
cana-4800	67	26	deep	deep	ADJ
cana-4800	67	27	learning	learning	NOUN
cana-4800	67	28	algorithms	algorithm	NOUN
cana-4800	67	29	.	.	PUNCT
cana-4800	68	1	this	this	PRON
cana-4800	68	2	gives	give	VERB
cana-4800	68	3	pharmaceutical	pharmaceutical	ADJ
cana-4800	68	4	researchers	researcher	NOUN
cana-4800	68	5	and	and	CCONJ
cana-4800	68	6	healthcare	healthcare	NOUN
cana-4800	68	7	providers	provider	NOUN
cana-4800	68	8	invaluable	invaluable	ADJ
cana-4800	68	9	insights	insight	NOUN
cana-4800	68	10	that	that	PRON
cana-4800	68	11	can	can	AUX
cana-4800	68	12	improve	improve	VERB
cana-4800	68	13	drug	drug	NOUN
cana-4800	68	14	development	development	NOUN
cana-4800	68	15	and	and	CCONJ
cana-4800	68	16	treatment	treatment	NOUN
cana-4800	68	17	strategies	strategy	NOUN
cana-4800	68	18	for	for	ADP
cana-4800	68	19	patients	patient	NOUN
cana-4800	68	20	.	.	PUNCT
cana-4800	69	1	references	reference	NOUN
cana-4800	69	2	1	1	NUM
cana-4800	69	3	.	.	PUNCT
cana-4800	70	1	xie	xie	PROPN
cana-4800	70	2	,	,	PUNCT
cana-4800	70	3	l.	l.	PROPN
cana-4800	70	4	,	,	PUNCT
cana-4800	70	5	he	he	PRON
cana-4800	70	6	,	,	PUNCT
cana-4800	70	7	s.	s.	PROPN
cana-4800	70	8	,	,	PUNCT
cana-4800	70	9	song	song	NOUN
cana-4800	70	10	,	,	PUNCT
cana-4800	70	11	x.	x.	PROPN
cana-4800	70	12	,	,	PUNCT
cana-4800	70	13	bo	bo	PROPN
cana-4800	70	14	,	,	PUNCT
cana-4800	70	15	x.	x.	PROPN
cana-4800	70	16	,	,	PUNCT
cana-4800	70	17	&	&	CCONJ
cana-4800	70	18	zhang	zhang	PROPN
cana-4800	70	19	,	,	PUNCT
cana-4800	70	20	z.	z.	PROPN
cana-4800	70	21	(	(	PUNCT
cana-4800	70	22	2018	2018	NUM
cana-4800	70	23	)	)	PUNCT
cana-4800	70	24	.	.	PUNCT
cana-4800	71	1	deep	deep	ADJ
cana-4800	71	2	learning	learning	NOUN
cana-4800	71	3	-	-	PUNCT
cana-4800	71	4	based	base	VERB
cana-4800	71	5	transcriptome	transcriptome	ADJ
cana-4800	71	6	data	data	NOUN
cana-4800	71	7	classification	classification	NOUN
cana-4800	71	8	for	for	ADP
cana-4800	71	9	drug	drug	NOUN
cana-4800	71	10	-	-	PUNCT
cana-4800	71	11	induced	induce	VERB
cana-4800	71	12	liver	liver	NOUN
cana-4800	71	13	injury	injury	NOUN
cana-4800	71	14	prediction	prediction	NOUN
cana-4800	71	15	.	.	PUNCT
cana-4800	72	1	bmc	bmc	ADJ
cana-4800	72	2	genomics	genomic	NOUN
cana-4800	72	3	,	,	PUNCT
cana-4800	72	4	19(suppl	19(suppl	NUM
cana-4800	72	5	6	6	NUM
cana-4800	72	6	)	)	PUNCT
cana-4800	72	7	,	,	PUNCT
cana-4800	72	8	509	509	NUM
cana-4800	72	9	.	.	NOUN
cana-4800	73	1	2	2	NUM
cana-4800	73	2	.	.	X
cana-4800	73	3	liao	liao	PROPN
cana-4800	73	4	,	,	PUNCT
cana-4800	73	5	l.	l.	PROPN
cana-4800	73	6	,	,	PUNCT
cana-4800	73	7	yao	yao	PROPN
cana-4800	73	8	,	,	PUNCT
cana-4800	73	9	l.	l.	PROPN
cana-4800	73	10	,	,	PUNCT
cana-4800	73	11	wang	wang	PROPN
cana-4800	73	12	,	,	PUNCT
cana-4800	73	13	h.	h.	PROPN
cana-4800	73	14	,	,	PUNCT
cana-4800	73	15	&	&	CCONJ
cana-4800	73	16	fu	fu	PROPN
cana-4800	73	17	,	,	PUNCT
cana-4800	73	18	z.	z.	PROPN
cana-4800	73	19	(	(	PUNCT
cana-4800	73	20	2019	2019	NUM
cana-4800	73	21	)	)	PUNCT
cana-4800	73	22	.	.	PUNCT
cana-4800	74	1	network	network	NOUN
cana-4800	74	2	-	-	PUNCT
cana-4800	74	3	based	base	VERB
cana-4800	74	4	methods	method	NOUN
cana-4800	74	5	for	for	ADP
cana-4800	74	6	predicting	predict	VERB
cana-4800	74	7	drug	drug	NOUN
cana-4800	74	8	-	-	PUNCT
cana-4800	74	9	side	side	NOUN
cana-4800	74	10	effects	effect	NOUN
cana-4800	74	11	.	.	PUNCT
cana-4800	75	1	bmc	bmc	ADJ
cana-4800	75	2	bioinformatics	bioinformatics	NOUN
cana-4800	75	3	,	,	PUNCT
cana-4800	75	4	20(1	20(1	NUM
cana-4800	75	5	)	)	PUNCT
cana-4800	75	6	,	,	PUNCT
cana-4800	75	7	281	281	NUM
cana-4800	75	8	.	.	PUNCT
cana-4800	76	1	3	3	X
cana-4800	76	2	.	.	X
cana-4800	76	3	zhao	zhao	PROPN
cana-4800	76	4	,	,	PUNCT
cana-4800	76	5	s.	s.	PROPN
cana-4800	76	6	,	,	PUNCT
cana-4800	76	7	&	&	CCONJ
cana-4800	76	8	li	li	PROPN
cana-4800	76	9	,	,	PUNCT
cana-4800	76	10	s.	s.	PROPN
cana-4800	76	11	(	(	PUNCT
cana-4800	76	12	2016	2016	NUM
cana-4800	76	13	)	)	PUNCT
cana-4800	76	14	.	.	PUNCT
cana-4800	77	1	a	a	DET
cana-4800	77	2	review	review	NOUN
cana-4800	77	3	on	on	ADP
cana-4800	77	4	the	the	DET
cana-4800	77	5	application	application	NOUN
cana-4800	77	6	of	of	ADP
cana-4800	77	7	deep	deep	ADJ
cana-4800	77	8	learning	learning	NOUN
cana-4800	77	9	in	in	ADP
cana-4800	77	10	bioinformatics	bioinformatics	NOUN
cana-4800	77	11	.	.	PUNCT
cana-4800	78	1	current	current	ADJ
cana-4800	78	2	bioinformatics	bioinformatics	NOUN
cana-4800	78	3	,	,	PUNCT
cana-4800	78	4	12(3	12(3	NUM
cana-4800	78	5	)	)	PUNCT
cana-4800	78	6	,	,	PUNCT
cana-4800	78	7	254	254	NUM
cana-4800	78	8	-	-	SYM
cana-4800	78	9	265	265	NUM
cana-4800	78	10	.	.	PUNCT
cana-4800	79	1	4	4	NUM
cana-4800	79	2	.	.	X
cana-4800	79	3	zhang	zhang	PROPN
cana-4800	79	4	,	,	PUNCT
cana-4800	79	5	p.	p.	PROPN
cana-4800	79	6	,	,	PUNCT
cana-4800	79	7	wang	wang	PROPN
cana-4800	79	8	,	,	PUNCT
cana-4800	79	9	f.	f.	PROPN
cana-4800	79	10	,	,	PUNCT
cana-4800	79	11	&	&	CCONJ
cana-4800	79	12	hu	hu	PROPN
cana-4800	79	13	,	,	PUNCT
cana-4800	79	14	j.	j.	PROPN
cana-4800	79	15	(	(	PUNCT
cana-4800	79	16	2019	2019	NUM
cana-4800	79	17	)	)	PUNCT
cana-4800	79	18	.	.	PUNCT
cana-4800	80	1	towards	towards	ADP
cana-4800	80	2	drug	drug	NOUN
cana-4800	80	3	side	side	NOUN
cana-4800	80	4	-	-	PUNCT
cana-4800	80	5	effect	effect	NOUN
cana-4800	80	6	prediction	prediction	NOUN
cana-4800	80	7	with	with	ADP
cana-4800	80	8	deep	deep	ADJ
cana-4800	80	9	belief	belief	NOUN
cana-4800	80	10	networks	network	NOUN
cana-4800	80	11	.	.	PUNCT
cana-4800	81	1	bmc	bmc	ADJ
cana-4800	81	2	bioinformatics	bioinformatics	PROPN
cana-4800	81	3	,	,	PUNCT
cana-4800	81	4	20(1	20(1	NUM
cana-4800	81	5	)	)	PUNCT
cana-4800	81	6	,	,	PUNCT
cana-4800	81	7	37	37	NUM
cana-4800	81	8	.	.	NOUN
cana-4800	82	1	5	5	NUM
cana-4800	82	2	.	.	X
cana-4800	82	3	liu	liu	PROPN
cana-4800	82	4	,	,	PUNCT
cana-4800	82	5	y.	y.	PROPN
cana-4800	82	6	,	,	PUNCT
cana-4800	82	7	wu	wu	PROPN
cana-4800	82	8	,	,	PUNCT
cana-4800	82	9	m.	m.	NOUN
cana-4800	82	10	,	,	PUNCT
cana-4800	82	11	miao	miao	NOUN
cana-4800	82	12	,	,	PUNCT
cana-4800	82	13	c.	c.	PROPN
cana-4800	82	14	,	,	PUNCT
cana-4800	82	15	zhao	zhao	PROPN
cana-4800	82	16	,	,	PUNCT
cana-4800	82	17	p.	p.	PROPN
cana-4800	82	18	,	,	PUNCT
cana-4800	82	19	li	li	PROPN
cana-4800	82	20	,	,	PUNCT
cana-4800	82	21	x.	x.	NOUN
cana-4800	82	22	,	,	PUNCT
cana-4800	82	23	&	&	CCONJ
cana-4800	82	24	tao	tao	PROPN
cana-4800	82	25	,	,	PUNCT
cana-4800	82	26	l.	l.	PROPN
cana-4800	82	27	(	(	PUNCT
cana-4800	82	28	2019	2019	NUM
cana-4800	82	29	)	)	PUNCT
cana-4800	82	30	.	.	PUNCT
cana-4800	83	1	deep	deep	ADJ
cana-4800	83	2	learning	learning	NOUN
cana-4800	83	3	for	for	ADP
cana-4800	83	4	pharmacovigilance	pharmacovigilance	NOUN
cana-4800	83	5	:	:	PUNCT
cana-4800	83	6	recurrent	recurrent	ADJ
cana-4800	83	7	neural	neural	ADJ
cana-4800	83	8	network	network	NOUN
cana-4800	83	9	architectures	architecture	NOUN
cana-4800	83	10	for	for	ADP
cana-4800	83	11	labeling	label	VERB
cana-4800	83	12	adverse	adverse	ADJ
cana-4800	83	13	drug	drug	NOUN
cana-4800	83	14	reactions	reaction	NOUN
cana-4800	83	15	in	in	ADP
cana-4800	83	16	twitter	twitter	NOUN
cana-4800	83	17	posts	post	NOUN
cana-4800	83	18	.	.	PUNCT
cana-4800	84	1	journal	journal	PROPN
cana-4800	84	2	of	of	ADP
cana-4800	84	3	chemical	chemical	ADJ
cana-4800	84	4	information	information	NOUN
cana-4800	84	5	and	and	CCONJ
cana-4800	84	6	modeling	modeling	NOUN
cana-4800	84	7	,	,	PUNCT
cana-4800	84	8	59(2	59(2	NUM
cana-4800	84	9	)	)	PUNCT
cana-4800	84	10	,	,	PUNCT
cana-4800	84	11	947	947	NUM
cana-4800	84	12	-	-	SYM
cana-4800	84	13	956	956	NUM
cana-4800	84	14	.	.	NOUN
cana-4800	84	15	6	6	NUM
cana-4800	84	16	.	.	X
cana-4800	85	1	xu	xu	PROPN
cana-4800	85	2	,	,	PUNCT
cana-4800	85	3	y.	y.	PROPN
cana-4800	85	4	,	,	PUNCT
cana-4800	85	5	pei	pei	PROPN
cana-4800	85	6	,	,	PUNCT
cana-4800	85	7	j.	j.	PROPN
cana-4800	85	8	,	,	PUNCT
cana-4800	85	9	&	&	CCONJ
cana-4800	85	10	lai	lai	PROPN
cana-4800	85	11	,	,	PUNCT
cana-4800	85	12	l.	l.	PROPN
cana-4800	85	13	(	(	PUNCT
cana-4800	85	14	2018	2018	NUM
cana-4800	85	15	)	)	PUNCT
cana-4800	85	16	.	.	PUNCT
cana-4800	86	1	deep	deep	ADJ
cana-4800	86	2	learning	learning	NOUN
cana-4800	86	3	based	base	VERB
cana-4800	86	4	regression	regression	NOUN
cana-4800	86	5	and	and	CCONJ
cana-4800	86	6	multiclass	multiclass	ADJ
cana-4800	86	7	models	model	NOUN
cana-4800	86	8	for	for	ADP
cana-4800	86	9	acute	acute	ADJ
cana-4800	86	10	oral	oral	ADJ
cana-4800	86	11	toxicity	toxicity	NOUN
cana-4800	86	12	prediction	prediction	NOUN
cana-4800	86	13	with	with	ADP
cana-4800	86	14	automatic	automatic	ADJ
cana-4800	86	15	chemical	chemical	NOUN
cana-4800	86	16	feature	feature	NOUN
cana-4800	86	17	extraction	extraction	NOUN
cana-4800	86	18	.	.	PUNCT
cana-4800	87	1	journal	journal	PROPN
cana-4800	87	2	of	of	ADP
cana-4800	87	3	chemical	chemical	ADJ
cana-4800	87	4	information	information	NOUN
cana-4800	87	5	and	and	CCONJ
cana-4800	87	6	modeling	modeling	NOUN
cana-4800	87	7	,	,	PUNCT
cana-4800	87	8	58(2	58(2	NUM
cana-4800	87	9	)	)	PUNCT
cana-4800	87	10	,	,	PUNCT
cana-4800	87	11	415	415	NUM
cana-4800	87	12	-	-	SYM
cana-4800	87	13	428	428	NUM
cana-4800	87	14	.	.	NOUN
cana-4800	88	1	7	7	X
cana-4800	88	2	.	.	X
cana-4800	88	3	yao	yao	PROPN
cana-4800	88	4	,	,	PUNCT
cana-4800	88	5	l.	l.	PROPN
cana-4800	88	6	,	,	PUNCT
cana-4800	88	7	evans	evans	PROPN
cana-4800	88	8	,	,	PUNCT
cana-4800	88	9	j.	j.	PROPN
cana-4800	88	10	a.	a.	PROPN
cana-4800	88	11	,	,	PUNCT
cana-4800	88	12	&	&	CCONJ
cana-4800	88	13	rzhetsky	rzhetsky	ADJ
cana-4800	88	14	,	,	PUNCT
cana-4800	88	15	a.	a.	NOUN
cana-4800	88	16	(	(	PUNCT
cana-4800	88	17	2018	2018	NUM
cana-4800	88	18	)	)	PUNCT
cana-4800	88	19	.	.	PUNCT
cana-4800	89	1	novel	novel	ADJ
cana-4800	89	2	opportunities	opportunity	NOUN
cana-4800	89	3	for	for	ADP
cana-4800	89	4	computational	computational	ADJ
cana-4800	89	5	biology	biology	NOUN
cana-4800	89	6	and	and	CCONJ
cana-4800	89	7	sociology	sociology	NOUN
cana-4800	89	8	in	in	ADP
cana-4800	89	9	drug	drug	NOUN
cana-4800	89	10	safety	safety	NOUN
cana-4800	89	11	.	.	PUNCT
cana-4800	90	1	statistics	statistic	NOUN
cana-4800	90	2	in	in	ADP
cana-4800	90	3	medicine	medicine	NOUN
cana-4800	90	4	,	,	PUNCT
cana-4800	90	5	37(6	37(6	NUM
cana-4800	90	6	)	)	PUNCT
cana-4800	90	7	,	,	PUNCT
cana-4800	90	8	862	862	NUM
cana-4800	90	9	-	-	SYM
cana-4800	90	10	869	869	NUM
cana-4800	90	11	.	.	NOUN
cana-4800	90	12	8	8	NUM
cana-4800	90	13	.	.	PUNCT
cana-4800	90	14	ma	ma	PROPN
cana-4800	90	15	,	,	PUNCT
cana-4800	90	16	j.	j.	PROPN
cana-4800	90	17	,	,	PUNCT
cana-4800	90	18	sheridan	sheridan	PROPN
cana-4800	90	19	,	,	PUNCT
cana-4800	90	20	r.	r.	PROPN
cana-4800	90	21	p.	p.	PROPN
cana-4800	90	22	,	,	PUNCT
cana-4800	90	23	liaw	liaw	PROPN
cana-4800	90	24	,	,	PUNCT
cana-4800	90	25	a.	a.	NOUN
cana-4800	90	26	,	,	PUNCT
cana-4800	90	27	dahl	dahl	PROPN
cana-4800	90	28	,	,	PUNCT
cana-4800	90	29	g.	g.	PROPN
cana-4800	90	30	e.	e.	PROPN
cana-4800	90	31	,	,	PUNCT
cana-4800	90	32	&	&	CCONJ
cana-4800	90	33	svetnik	svetnik	PROPN
cana-4800	90	34	,	,	PUNCT
cana-4800	90	35	v.	v.	PROPN
cana-4800	90	36	(	(	PUNCT
cana-4800	90	37	2015	2015	NUM
cana-4800	90	38	)	)	PUNCT
cana-4800	90	39	.	.	PUNCT
cana-4800	91	1	deep	deep	ADJ
cana-4800	91	2	neural	neural	ADJ
cana-4800	91	3	nets	net	NOUN
cana-4800	91	4	as	as	ADP
cana-4800	91	5	a	a	DET
cana-4800	91	6	method	method	NOUN
cana-4800	91	7	for	for	ADP
cana-4800	91	8	quantitative	quantitative	ADJ
cana-4800	91	9	structure	structure	NOUN
cana-4800	91	10	–	–	PUNCT
cana-4800	91	11	activity	activity	NOUN
cana-4800	91	12	relationships	relationship	NOUN
cana-4800	91	13	.	.	PUNCT
cana-4800	92	1	journal	journal	PROPN
cana-4800	92	2	of	of	ADP
cana-4800	92	3	chemical	chemical	ADJ
cana-4800	92	4	information	information	NOUN
cana-4800	92	5	and	and	CCONJ
cana-4800	92	6	modeling	modeling	NOUN
cana-4800	92	7	,	,	PUNCT
cana-4800	92	8	55(2	55(2	NUM
cana-4800	92	9	)	)	PUNCT
cana-4800	92	10	,	,	PUNCT
cana-4800	92	11	263	263	NUM
cana-4800	92	12	-	-	SYM
cana-4800	92	13	274	274	NUM
cana-4800	92	14	.	.	PUNCT
cana-4800	93	1	9	9	NUM
cana-4800	93	2	.	.	X
cana-4800	93	3	hinton	hinton	PROPN
cana-4800	93	4	,	,	PUNCT
cana-4800	93	5	g.	g.	PROPN
cana-4800	93	6	e.	e.	PROPN
cana-4800	93	7	,	,	PUNCT
cana-4800	93	8	&	&	CCONJ
cana-4800	93	9	salakhutdinov	salakhutdinov	PROPN
cana-4800	93	10	,	,	PUNCT
cana-4800	93	11	r.	r.	PROPN
cana-4800	93	12	r.	r.	PROPN
cana-4800	93	13	(	(	PUNCT
cana-4800	93	14	2006	2006	NUM
cana-4800	93	15	)	)	PUNCT
cana-4800	93	16	.	.	PUNCT
cana-4800	94	1	reducing	reduce	VERB
cana-4800	94	2	the	the	DET
cana-4800	94	3	dimensionality	dimensionality	NOUN
cana-4800	94	4	of	of	ADP
cana-4800	94	5	data	datum	NOUN
cana-4800	94	6	with	with	ADP
cana-4800	94	7	neural	neural	ADJ
cana-4800	94	8	networks	network	NOUN
cana-4800	94	9	.	.	PUNCT
cana-4800	95	1	science	science	NOUN
cana-4800	95	2	,	,	PUNCT
cana-4800	95	3	313(5786	313(5786	NUM
cana-4800	95	4	)	)	PUNCT
cana-4800	95	5	,	,	PUNCT
cana-4800	95	6	504	504	NUM
cana-4800	95	7	-	-	SYM
cana-4800	95	8	507	507	NUM
cana-4800	95	9	.	.	NOUN
cana-4800	95	10	10	10	NUM
cana-4800	95	11	.	.	X
cana-4800	95	12	duvenaud	duvenaud	PROPN
cana-4800	95	13	,	,	PUNCT
cana-4800	95	14	d.	d.	PROPN
cana-4800	95	15	k.	k.	PROPN
cana-4800	95	16	,	,	PUNCT
cana-4800	95	17	maclaurin	maclaurin	PROPN
cana-4800	95	18	,	,	PUNCT
cana-4800	95	19	d.	d.	PROPN
cana-4800	95	20	,	,	PUNCT
cana-4800	95	21	aguilera	aguilera	PROPN
cana-4800	95	22	-	-	PUNCT
cana-4800	95	23	iparraguirre	iparraguirre	PROPN
cana-4800	95	24	,	,	PUNCT
cana-4800	95	25	j.	j.	PROPN
cana-4800	95	26	,	,	PUNCT
cana-4800	95	27	gómez	gómez	NOUN
cana-4800	95	28	-	-	PUNCT
cana-4800	95	29	bombarelli	bombarelli	PROPN
cana-4800	95	30	,	,	PUNCT
cana-4800	95	31	r.	r.	PROPN
cana-4800	95	32	,	,	PUNCT
cana-4800	95	33	hirzel	hirzel	PROPN
cana-4800	95	34	,	,	PUNCT
cana-4800	95	35	t.	t.	PROPN
cana-4800	95	36	,	,	PUNCT
cana-4800	95	37	aspuru	aspuru	ADJ
cana-4800	95	38	-	-	PUNCT
cana-4800	95	39	guzik	guzik	NOUN
cana-4800	95	40	,	,	PUNCT
cana-4800	95	41	a.	a.	NOUN
cana-4800	95	42	,	,	PUNCT
cana-4800	95	43	&	&	CCONJ
cana-4800	95	44	adams	adams	PROPN
cana-4800	95	45	,	,	PUNCT
cana-4800	95	46	r.	r.	PROPN
cana-4800	95	47	p.	p.	PROPN
cana-4800	95	48	(	(	PUNCT
cana-4800	95	49	2015	2015	NUM
cana-4800	95	50	)	)	PUNCT
cana-4800	95	51	.	.	PUNCT
cana-4800	96	1	convolutional	convolutional	ADJ
cana-4800	96	2	networks	network	NOUN
cana-4800	96	3	on	on	ADP
cana-4800	96	4	graphs	graph	NOUN
cana-4800	96	5	for	for	ADP
cana-4800	96	6	learning	learn	VERB
cana-4800	96	7	molecular	molecular	ADJ
cana-4800	96	8	fingerprints	fingerprint	NOUN
cana-4800	96	9	.	.	PUNCT
cana-4800	97	1	advances	advance	NOUN
cana-4800	97	2	in	in	ADP
cana-4800	97	3	neural	neural	ADJ
cana-4800	97	4	information	information	NOUN
cana-4800	97	5	processing	processing	NOUN
cana-4800	97	6	systems	system	NOUN
cana-4800	97	7	,	,	PUNCT
cana-4800	97	8	28	28	NUM
cana-4800	97	9	,	,	PUNCT
cana-4800	97	10	2224	2224	NUM
cana-4800	97	11	-	-	SYM
cana-4800	97	12	2232	2232	NUM
cana-4800	97	13	.	.	PUNCT
cana-4800	98	1	author	author	NOUN
cana-4800	98	2	profile	profile	PROPN
cana-4800	98	3	:	:	PUNCT
cana-4800	98	4	dr	dr	PROPN
cana-4800	98	5	.	.	PROPN
cana-4800	98	6	j.	j.	PROPN
cana-4800	98	7	gladson	gladson	PROPN
cana-4800	98	8	maria	maria	PROPN
cana-4800	98	9	britto	britto	PROPN
cana-4800	98	10	is	be	AUX
cana-4800	98	11	working	work	VERB
cana-4800	98	12	as	as	ADP
cana-4800	98	13	a	a	DET
cana-4800	98	14	professor	professor	NOUN
cana-4800	98	15	in	in	ADP
cana-4800	98	16	the	the	DET
cana-4800	98	17	department	department	PROPN
cana-4800	98	18	of	of	ADP
cana-4800	98	19	cse	cse	PROPN
cana-4800	98	20	-	-	PUNCT
cana-4800	98	21	ds	ds	NOUN
cana-4800	98	22	at	at	ADP
cana-4800	98	23	malla	malla	PROPN
cana-4800	98	24	reddy	reddy	PROPN
cana-4800	98	25	college	college	PROPN
cana-4800	98	26	of	of	ADP
cana-4800	98	27	engineering	engineering	PROPN
cana-4800	98	28	,	,	PUNCT
cana-4800	98	29	hyderabad	hyderabad	PROPN
cana-4800	98	30	.	.	PUNCT
cana-4800	99	1	he	he	PRON
cana-4800	99	2	obtained	obtain	VERB
cana-4800	99	3	his	his	PRON
cana-4800	99	4	bachelor	bachelor	NOUN
cana-4800	99	5	's	's	PART
cana-4800	99	6	degree	degree	NOUN
cana-4800	99	7	in	in	ADP
cana-4800	99	8	cse	cse	PROPN
cana-4800	99	9	,	,	PUNCT
cana-4800	99	10	master	master	NOUN
cana-4800	99	11	’s	’s	NOUN
cana-4800	99	12	in	in	ADP
cana-4800	99	13	cse	cse	NOUN
cana-4800	99	14	and	and	CCONJ
cana-4800	99	15	doctoral	doctoral	ADJ
cana-4800	99	16	degree	degree	NOUN
cana-4800	99	17	in	in	ADP
cana-4800	99	18	cse	cse	NOUN
cana-4800	99	19	from	from	ADP
cana-4800	99	20	various	various	ADJ
cana-4800	99	21	state	state	NOUN
cana-4800	99	22	government	government	NOUN
cana-4800	99	23	universities	university	NOUN
cana-4800	99	24	.	.	PUNCT
cana-4800	100	1	he	he	PRON
cana-4800	100	2	has	have	VERB
cana-4800	100	3	15.11	15.11	NUM
cana-4800	100	4	years	year	NOUN
cana-4800	100	5	of	of	ADP
cana-4800	100	6	teaching	teaching	NOUN
cana-4800	100	7	experience	experience	NOUN
cana-4800	100	8	and	and	CCONJ
cana-4800	100	9	4.4	4.4	NUM
cana-4800	100	10	years	year	NOUN
cana-4800	100	11	of	of	ADP
cana-4800	100	12	industry	industry	NOUN
cana-4800	100	13	experience	experience	NOUN
cana-4800	100	14	.	.	PUNCT
cana-4800	101	1	he	he	PRON
cana-4800	101	2	published	publish	VERB
cana-4800	101	3	26	26	NUM
cana-4800	101	4	research	research	NOUN
cana-4800	101	5	papers	paper	NOUN
cana-4800	101	6	in	in	ADP
cana-4800	101	7	various	various	ADJ
cana-4800	101	8	international	international	ADJ
cana-4800	101	9	conferences	conference	NOUN
cana-4800	101	10	and	and	CCONJ
cana-4800	101	11	reputed	reputed	ADJ
cana-4800	101	12	journals	journal	NOUN
cana-4800	101	13	and	and	CCONJ
cana-4800	101	14	also	also	ADV
cana-4800	101	15	published	publish	VERB
cana-4800	101	16	6	6	NUM
cana-4800	101	17	books	book	NOUN
cana-4800	101	18	,	,	PUNCT
cana-4800	101	19	3	3	NUM
cana-4800	101	20	book	book	NOUN
cana-4800	101	21	chapters,9	chapters,9	NOUN
cana-4800	101	22	patents	patent	NOUN
cana-4800	101	23	.	.	PUNCT
cana-4800	102	1	communications	communication	NOUN
cana-4800	102	2	on	on	ADP
cana-4800	102	3	applied	apply	VERB
cana-4800	102	4	nonlinear	nonlinear	ADJ
cana-4800	102	5	analysis	analysis	NOUN
cana-4800	102	6	issn	issn	NOUN
cana-4800	102	7	:	:	PUNCT
cana-4800	102	8	1074	1074	NUM
cana-4800	102	9	-	-	PUNCT
cana-4800	102	10	133x	133x	NUM
cana-4800	102	11	vol	vol	VERB
cana-4800	102	12	32	32	NUM
cana-4800	102	13	no	no	NOUN
cana-4800	102	14	.	.	PUNCT
cana-4800	103	1	10s	10	NOUN
cana-4800	103	2	(	(	PUNCT
cana-4800	103	3	2025	2025	NUM
cana-4800	103	4	)	)	PUNCT
cana-4800	103	5	334	334	NUM
cana-4800	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4800	104	1	his	his	PRON
cana-4800	104	2	interested	interested	ADJ
cana-4800	104	3	areas	area	NOUN
cana-4800	104	4	are	be	AUX
cana-4800	104	5	artificial	artificial	ADJ
cana-4800	104	6	intelligence	intelligence	NOUN
cana-4800	104	7	&	&	CCONJ
cana-4800	104	8	machine	machine	PROPN
cana-4800	104	9	learning	learning	PROPN
cana-4800	104	10	,	,	PUNCT
cana-4800	104	11	and	and	CCONJ
cana-4800	104	12	iot	iot	PROPN
cana-4800	104	13	based	base	VERB
cana-4800	104	14	applications	application	NOUN
cana-4800	104	15	.	.	PUNCT
cana-4800	105	1	he	he	PRON
cana-4800	105	2	is	be	AUX
cana-4800	105	3	instrumental	instrumental	ADJ
cana-4800	105	4	in	in	ADP
cana-4800	105	5	organizing	organize	VERB
cana-4800	105	6	technical	technical	ADJ
cana-4800	105	7	symposiums	symposium	NOUN
cana-4800	105	8	,	,	PUNCT
cana-4800	105	9	workshops	workshop	NOUN
cana-4800	105	10	,	,	PUNCT
cana-4800	105	11	seminars	seminar	NOUN
cana-4800	105	12	,	,	PUNCT
cana-4800	105	13	guest	guest	NOUN
cana-4800	105	14	lectures	lecture	NOUN
cana-4800	105	15	,	,	PUNCT
cana-4800	105	16	technical	technical	ADJ
cana-4800	105	17	talks	talk	NOUN
cana-4800	105	18	,	,	PUNCT
cana-4800	105	19	motivational	motivational	NOUN
cana-4800	105	20	talks	talk	NOUN
cana-4800	105	21	,	,	PUNCT
cana-4800	105	22	short	short	ADJ
cana-4800	105	23	term	term	NOUN
cana-4800	105	24	training	training	NOUN
cana-4800	105	25	programs	program	NOUN
cana-4800	105	26	(	(	PUNCT
cana-4800	105	27	sttps	sttps	NOUN
cana-4800	105	28	)	)	PUNCT
cana-4800	105	29	,	,	PUNCT
cana-4800	105	30	expert	expert	NOUN
cana-4800	105	31	talks	talk	NOUN
cana-4800	105	32	,	,	PUNCT
cana-4800	105	33	technical	technical	ADJ
cana-4800	105	34	quiz	quiz	NOUN
cana-4800	105	35	and	and	CCONJ
cana-4800	105	36	fdps	fdps	NOUN
cana-4800	105	37	to	to	PART
cana-4800	105	38	improve	improve	VERB
cana-4800	105	39	the	the	DET
cana-4800	105	40	student	student	NOUN
cana-4800	105	41	’s	’s	PART
cana-4800	105	42	technical	technical	ADJ
cana-4800	105	43	skills	skill	NOUN
cana-4800	105	44	in	in	ADP
cana-4800	105	45	various	various	ADJ
cana-4800	105	46	dimensions	dimension	NOUN
cana-4800	105	47	.	.	PUNCT
cana-4800	106	1	he	he	PRON
cana-4800	106	2	received	receive	VERB
cana-4800	106	3	aictevishwakarma	aictevishwakarma	PROPN
cana-4800	106	4	awards	award	NOUN
cana-4800	106	5	2020	2020	NUM
cana-4800	106	6	,	,	PUNCT
cana-4800	106	7	csi	csi	PROPN
cana-4800	106	8	inapp	inapp	NOUN
cana-4800	106	9	awards	award	NOUN
cana-4800	106	10	2021	2021	NUM
cana-4800	106	11	and	and	CCONJ
cana-4800	106	12	various	various	ADJ
cana-4800	106	13	recognition	recognition	NOUN
cana-4800	106	14	from	from	ADP
cana-4800	106	15	reputed	reputed	ADJ
cana-4800	106	16	bodies	body	NOUN
cana-4800	106	17	like	like	ADP
cana-4800	106	18	csi	csi	PROPN
cana-4800	106	19	.	.	PUNCT
cana-4800	107	1	he	he	PRON
cana-4800	107	2	is	be	AUX
cana-4800	107	3	optimistic	optimistic	ADJ
cana-4800	107	4	,	,	PUNCT
cana-4800	107	5	passionate	passionate	ADJ
cana-4800	107	6	and	and	CCONJ
cana-4800	107	7	enthusiastic	enthusiastic	ADJ
cana-4800	107	8	individual	individual	NOUN
cana-4800	107	9	who	who	PRON
cana-4800	107	10	enjoys	enjoy	VERB
cana-4800	107	11	working	work	VERB
cana-4800	107	12	with	with	ADP
cana-4800	107	13	positive	positive	ADJ
cana-4800	107	14	people	people	NOUN
cana-4800	107	15	who	who	PRON
cana-4800	107	16	can	can	AUX
cana-4800	107	17	share	share	VERB
cana-4800	107	18	his	his	PRON
cana-4800	107	19	enthusiasm	enthusiasm	NOUN
cana-4800	107	20	for	for	ADP
cana-4800	107	21	teaching	teaching	NOUN
cana-4800	107	22	and	and	CCONJ
cana-4800	107	23	learning	learn	VERB
cana-4800	107	24	with	with	ADP
cana-4800	107	25	motivation	motivation	NOUN
cana-4800	107	26	as	as	ADV
cana-4800	107	27	well	well	ADV
cana-4800	107	28	as	as	ADP
cana-4800	107	29	support	support	NOUN
cana-4800	107	30	.	.	PUNCT