id	sid	tid	token	lemma	pos
cana-2253	1	1	communications	communication	NOUN
cana-2253	1	2	on	on	ADP
cana-2253	1	3	applied	apply	VERB
cana-2253	1	4	nonlinear	nonlinear	ADJ
cana-2253	1	5	analysis	analysis	NOUN
cana-2253	1	6	issn	issn	NOUN
cana-2253	1	7	:	:	PUNCT
cana-2253	1	8	1074	1074	NUM
cana-2253	1	9	-	-	PUNCT
cana-2253	1	10	133x	133x	NUM
cana-2253	1	11	vol	vol	NOUN
cana-2253	1	12	32	32	NUM
cana-2253	1	13	no	no	NOUN
cana-2253	1	14	.	.	PUNCT
cana-2253	2	1	2s	2s	NUM
cana-2253	2	2	(	(	PUNCT
cana-2253	2	3	2025	2025	NUM
cana-2253	2	4	)	)	PUNCT
cana-2253	2	5	87	87	NUM
cana-2253	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2253	2	7	implementing	implement	VERB
cana-2253	2	8	adaptive	adaptive	ADJ
cana-2253	2	9	neuro	neuro	NOUN
cana-2253	2	10	-	-	PUNCT
cana-2253	2	11	fuzzy	fuzzy	ADJ
cana-2253	2	12	inference	inference	NOUN
cana-2253	2	13	systems	system	NOUN
cana-2253	2	14	(	(	PUNCT
cana-2253	2	15	anfis	anfi	VERB
cana-2253	2	16	)	)	PUNCT
cana-2253	2	17	for	for	ADP
cana-2253	2	18	risk	risk	NOUN
cana-2253	2	19	assessment	assessment	NOUN
cana-2253	2	20	of	of	ADP
cana-2253	2	21	drug	drug	NOUN
cana-2253	2	22	interactions	interaction	NOUN
cana-2253	2	23	ashu	ashu	PROPN
cana-2253	2	24	nayak1	nayak1	PROPN
cana-2253	2	25	,	,	PUNCT
cana-2253	2	26	kapesh	kapesh	PROPN
cana-2253	2	27	subhash	subhash	PROPN
cana-2253	2	28	raghatate2	raghatate2	PROPN
cana-2253	2	29	1assistant	1assistant	NUM
cana-2253	2	30	professor	professor	NOUN
cana-2253	2	31	,	,	PUNCT
cana-2253	2	32	department	department	NOUN
cana-2253	2	33	of	of	ADP
cana-2253	2	34	cs	cs	PROPN
cana-2253	2	35	&	&	CCONJ
cana-2253	2	36	it	it	PRON
cana-2253	2	37	,	,	PUNCT
cana-2253	2	38	kalinga	kalinga	PROPN
cana-2253	2	39	university	university	PROPN
cana-2253	2	40	,	,	PUNCT
cana-2253	2	41	raipur	raipur	PROPN
cana-2253	2	42	,	,	PUNCT
cana-2253	2	43	india	india	PROPN
cana-2253	2	44	.	.	PUNCT
cana-2253	3	1	2research	2research	NUM
cana-2253	3	2	scholar	scholar	NOUN
cana-2253	3	3	,	,	PUNCT
cana-2253	3	4	department	department	NOUN
cana-2253	3	5	of	of	ADP
cana-2253	3	6	cs	cs	PROPN
cana-2253	3	7	&	&	CCONJ
cana-2253	3	8	it	it	PRON
cana-2253	3	9	,	,	PUNCT
cana-2253	3	10	kalinga	kalinga	PROPN
cana-2253	3	11	university	university	PROPN
cana-2253	3	12	,	,	PUNCT
cana-2253	3	13	raipur	raipur	PROPN
cana-2253	3	14	,	,	PUNCT
cana-2253	3	15	india	india	PROPN
cana-2253	3	16	.	.	PUNCT
cana-2253	4	1	article	article	PROPN
cana-2253	4	2	history	history	NOUN
cana-2253	4	3	:	:	PUNCT
cana-2253	4	4	received	receive	VERB
cana-2253	4	5	:	:	PUNCT
cana-2253	4	6	03	03	NUM
cana-2253	4	7	-	-	PUNCT
cana-2253	4	8	09	09	NUM
cana-2253	4	9	-	-	PUNCT
cana-2253	4	10	2024	2024	NUM
cana-2253	4	11	revised	revise	VERB
cana-2253	4	12	:	:	PUNCT
cana-2253	4	13	14	14	NUM
cana-2253	4	14	-	-	SYM
cana-2253	4	15	10	10	NUM
cana-2253	4	16	-	-	PUNCT
cana-2253	4	17	2024	2024	NUM
cana-2253	4	18	accepted	accept	VERB
cana-2253	4	19	:	:	PUNCT
cana-2253	4	20	28	28	NUM
cana-2253	4	21	-	-	SYM
cana-2253	4	22	10	10	NUM
cana-2253	4	23	-	-	PUNCT
cana-2253	4	24	2024	2024	NUM
cana-2253	4	25	abstract	abstract	NOUN
cana-2253	4	26	:	:	PUNCT
cana-2253	4	27	novel	novel	ADJ
cana-2253	4	28	drug	drug	NOUN
cana-2253	4	29	development	development	NOUN
cana-2253	4	30	is	be	AUX
cana-2253	4	31	time	time	NOUN
cana-2253	4	32	-	-	PUNCT
cana-2253	4	33	consuming	consume	VERB
cana-2253	4	34	,	,	PUNCT
cana-2253	4	35	difficult	difficult	ADJ
cana-2253	4	36	,	,	PUNCT
cana-2253	4	37	and	and	CCONJ
cana-2253	4	38	often	often	ADV
cana-2253	4	39	unsuccessful	unsuccessful	ADJ
cana-2253	4	40	.	.	PUNCT
cana-2253	5	1	this	this	PRON
cana-2253	5	2	has	have	AUX
cana-2253	5	3	made	make	VERB
cana-2253	5	4	combining	combine	VERB
cana-2253	5	5	therapies	therapy	NOUN
cana-2253	5	6	increasingly	increasingly	ADV
cana-2253	5	7	common	common	ADJ
cana-2253	5	8	and	and	CCONJ
cana-2253	5	9	profitable	profitable	ADJ
cana-2253	5	10	in	in	ADP
cana-2253	5	11	recent	recent	ADJ
cana-2253	5	12	years	year	NOUN
cana-2253	5	13	.	.	PUNCT
cana-2253	6	1	healthcare	healthcare	NOUN
cana-2253	6	2	professionals	professional	NOUN
cana-2253	6	3	in	in	ADP
cana-2253	6	4	the	the	DET
cana-2253	6	5	pharmaceutical	pharmaceutical	ADJ
cana-2253	6	6	sector	sector	NOUN
cana-2253	6	7	are	be	AUX
cana-2253	6	8	interested	interested	ADJ
cana-2253	6	9	in	in	ADP
cana-2253	6	10	the	the	DET
cana-2253	6	11	combination	combination	NOUN
cana-2253	6	12	,	,	PUNCT
cana-2253	6	13	but	but	CCONJ
cana-2253	6	14	we	we	PRON
cana-2253	6	15	must	must	AUX
cana-2253	6	16	instantly	instantly	ADV
cana-2253	6	17	solve	solve	VERB
cana-2253	6	18	drug	drug	NOUN
cana-2253	6	19	-	-	PUNCT
cana-2253	6	20	drug	drug	NOUN
cana-2253	6	21	interactions	interaction	NOUN
cana-2253	6	22	.	.	PUNCT
cana-2253	7	1	in	in	ADP
cana-2253	7	2	few	few	ADJ
cana-2253	7	3	cases	case	NOUN
cana-2253	7	4	,	,	PUNCT
cana-2253	7	5	single	single	ADJ
cana-2253	7	6	-	-	PUNCT
cana-2253	7	7	perspective	perspective	NOUN
cana-2253	7	8	ddi	ddi	PROPN
cana-2253	7	9	evaluations	evaluation	NOUN
cana-2253	7	10	are	be	AUX
cana-2253	7	11	insufficient	insufficient	ADJ
cana-2253	7	12	.	.	PUNCT
cana-2253	8	1	pharmacological	pharmacological	NOUN
cana-2253	8	2	therapy	therapy	NOUN
cana-2253	8	3	and	and	CCONJ
cana-2253	8	4	patient	patient	ADJ
cana-2253	8	5	safety	safety	NOUN
cana-2253	8	6	depend	depend	VERB
cana-2253	8	7	on	on	ADP
cana-2253	8	8	accurate	accurate	ADJ
cana-2253	8	9	drug	drug	NOUN
cana-2253	8	10	interaction	interaction	NOUN
cana-2253	8	11	risk	risk	NOUN
cana-2253	8	12	assessments	assessment	NOUN
cana-2253	8	13	.	.	PUNCT
cana-2253	9	1	this	this	DET
cana-2253	9	2	work	work	NOUN
cana-2253	9	3	uses	use	VERB
cana-2253	9	4	an	an	DET
cana-2253	9	5	adaptive	adaptive	ADJ
cana-2253	9	6	neuro	neuro	NOUN
cana-2253	9	7	-	-	PUNCT
cana-2253	9	8	fuzzy	fuzzy	ADJ
cana-2253	9	9	inference	inference	NOUN
cana-2253	9	10	system	system	NOUN
cana-2253	9	11	(	(	PUNCT
cana-2253	9	12	anfis	anfi	VERB
cana-2253	9	13	)	)	PUNCT
cana-2253	9	14	to	to	PART
cana-2253	9	15	assess	assess	VERB
cana-2253	9	16	and	and	CCONJ
cana-2253	9	17	predict	predict	VERB
cana-2253	9	18	medication	medication	NOUN
cana-2253	9	19	interaction	interaction	NOUN
cana-2253	9	20	hazards	hazard	NOUN
cana-2253	9	21	.	.	PUNCT
cana-2253	10	1	the	the	DET
cana-2253	10	2	proposed	propose	VERB
cana-2253	10	3	method	method	NOUN
cana-2253	10	4	uses	use	VERB
cana-2253	10	5	neural	neural	ADJ
cana-2253	10	6	networks	network	NOUN
cana-2253	10	7	'	'	PART
cana-2253	10	8	generative	generative	ADJ
cana-2253	10	9	skills	skill	NOUN
cana-2253	10	10	and	and	CCONJ
cana-2253	10	11	fuzzy	fuzzy	ADJ
cana-2253	10	12	logic	logic	NOUN
cana-2253	10	13	to	to	PART
cana-2253	10	14	construct	construct	VERB
cana-2253	10	15	a	a	DET
cana-2253	10	16	robust	robust	ADJ
cana-2253	10	17	decision	decision	NOUN
cana-2253	10	18	-	-	PUNCT
cana-2253	10	19	making	make	VERB
cana-2253	10	20	framework	framework	NOUN
cana-2253	10	21	that	that	PRON
cana-2253	10	22	can	can	AUX
cana-2253	10	23	handle	handle	VERB
cana-2253	10	24	drug	drug	NOUN
cana-2253	10	25	interaction	interaction	NOUN
cana-2253	10	26	scenarios	scenario	NOUN
cana-2253	10	27	and	and	CCONJ
cana-2253	10	28	their	their	PRON
cana-2253	10	29	unpredictability	unpredictability	NOUN
cana-2253	10	30	.	.	PUNCT
cana-2253	11	1	fuzzy	fuzzy	ADJ
cana-2253	11	2	rules	rule	NOUN
cana-2253	11	3	provide	provide	VERB
cana-2253	11	4	all	all	DET
cana-2253	11	5	the	the	DET
cana-2253	11	6	necessary	necessary	ADJ
cana-2253	11	7	risk	risk	NOUN
cana-2253	11	8	assessment	assessment	NOUN
cana-2253	11	9	components	component	NOUN
cana-2253	11	10	.	.	PUNCT
cana-2253	12	1	this	this	PRON
cana-2253	12	2	includes	include	VERB
cana-2253	12	3	dose	dose	NOUN
cana-2253	12	4	,	,	PUNCT
cana-2253	12	5	patient	patient	ADJ
cana-2253	12	6	health	health	NOUN
cana-2253	12	7	issues	issue	NOUN
cana-2253	12	8	,	,	PUNCT
cana-2253	12	9	drug	drug	NOUN
cana-2253	12	10	interaction	interaction	NOUN
cana-2253	12	11	profiles	profile	NOUN
cana-2253	12	12	,	,	PUNCT
cana-2253	12	13	and	and	CCONJ
cana-2253	12	14	pharmacological	pharmacological	ADJ
cana-2253	12	15	properties	property	NOUN
cana-2253	12	16	.	.	PUNCT
cana-2253	13	1	accuracy	accuracy	NOUN
cana-2253	13	2	,	,	PUNCT
cana-2253	13	3	specificity	specificity	NOUN
cana-2253	13	4	,	,	PUNCT
cana-2253	13	5	and	and	CCONJ
cana-2253	13	6	mean	mean	VERB
cana-2253	13	7	squared	square	VERB
cana-2253	13	8	error	error	NOUN
cana-2253	13	9	evaluate	evaluate	VERB
cana-2253	13	10	the	the	DET
cana-2253	13	11	model	model	NOUN
cana-2253	13	12	after	after	ADP
cana-2253	13	13	training	train	VERB
cana-2253	13	14	with	with	ADP
cana-2253	13	15	known	know	VERB
cana-2253	13	16	drug	drug	NOUN
cana-2253	13	17	interactions	interaction	NOUN
cana-2253	13	18	.	.	PUNCT
cana-2253	14	1	these	these	DET
cana-2253	14	2	metrics	metric	NOUN
cana-2253	14	3	evaluate	evaluate	VERB
cana-2253	14	4	model	model	NOUN
cana-2253	14	5	performance	performance	NOUN
cana-2253	14	6	.	.	PUNCT
cana-2253	15	1	these	these	DET
cana-2253	15	2	measures	measure	NOUN
cana-2253	15	3	are	be	AUX
cana-2253	15	4	essential	essential	ADJ
cana-2253	15	5	for	for	ADP
cana-2253	15	6	machine	machine	NOUN
cana-2253	15	7	learning	learning	NOUN
cana-2253	15	8	evaluation	evaluation	NOUN
cana-2253	15	9	.	.	PUNCT
cana-2253	16	1	the	the	DET
cana-2253	16	2	anfis	anfis	PROPN
cana-2253	16	3	-	-	PUNCT
cana-2253	16	4	based	base	VERB
cana-2253	16	5	model	model	NOUN
cana-2253	16	6	outperforms	outperform	VERB
cana-2253	16	7	previous	previous	ADJ
cana-2253	16	8	risk	risk	NOUN
cana-2253	16	9	assessment	assessment	NOUN
cana-2253	16	10	methods	method	NOUN
cana-2253	16	11	in	in	ADP
cana-2253	16	12	risk	risk	NOUN
cana-2253	16	13	classification	classification	NOUN
cana-2253	16	14	and	and	CCONJ
cana-2253	16	15	prediction	prediction	NOUN
cana-2253	16	16	.	.	PUNCT
cana-2253	17	1	this	this	DET
cana-2253	17	2	study	study	NOUN
cana-2253	17	3	found	find	VERB
cana-2253	17	4	that	that	SCONJ
cana-2253	17	5	the	the	DET
cana-2253	17	6	anfis	anfis	ADJ
cana-2253	17	7	architecture	architecture	NOUN
cana-2253	17	8	may	may	AUX
cana-2253	17	9	improve	improve	VERB
cana-2253	17	10	medication	medication	NOUN
cana-2253	17	11	management	management	NOUN
cana-2253	17	12	security	security	NOUN
cana-2253	17	13	and	and	CCONJ
cana-2253	17	14	prevent	prevent	VERB
cana-2253	17	15	dangerous	dangerous	ADJ
cana-2253	17	16	drug	drug	NOUN
cana-2253	17	17	interactions	interaction	NOUN
cana-2253	17	18	.	.	PUNCT
cana-2253	18	1	keywords	keyword	NOUN
cana-2253	18	2	:	:	PUNCT
cana-2253	18	3	drug	drug	NOUN
cana-2253	18	4	interaction	interaction	NOUN
cana-2253	18	5	,	,	PUNCT
cana-2253	18	6	adaptive	adaptive	ADJ
cana-2253	18	7	neuro	neuro	NOUN
cana-2253	18	8	-	-	PUNCT
cana-2253	18	9	fuzzy	fuzzy	ADJ
cana-2253	18	10	interference	interference	NOUN
cana-2253	18	11	,	,	PUNCT
cana-2253	18	12	decision	decision	NOUN
cana-2253	18	13	making	making	NOUN
cana-2253	18	14	,	,	PUNCT
cana-2253	18	15	mean	mean	VERB
cana-2253	18	16	square	square	NOUN
cana-2253	18	17	error	error	NOUN
cana-2253	18	18	.	.	PUNCT
cana-2253	19	1	1	1	X
cana-2253	19	2	.	.	X
cana-2253	19	3	introduction	introduction	NOUN
cana-2253	19	4	drug	drug	NOUN
cana-2253	19	5	design	design	NOUN
cana-2253	19	6	takes	take	VERB
cana-2253	19	7	time	time	NOUN
cana-2253	19	8	and	and	CCONJ
cana-2253	19	9	effort	effort	NOUN
cana-2253	19	10	.	.	PUNCT
cana-2253	20	1	clinical	clinical	ADJ
cana-2253	20	2	studies	study	NOUN
cana-2253	20	3	require	require	VERB
cana-2253	20	4	many	many	ADJ
cana-2253	20	5	processes	process	NOUN
cana-2253	20	6	,	,	PUNCT
cana-2253	20	7	from	from	ADP
cana-2253	20	8	objective	objective	ADJ
cana-2253	20	9	setting	setting	NOUN
cana-2253	20	10	to	to	ADP
cana-2253	20	11	execution	execution	NOUN
cana-2253	20	12	.	.	PUNCT
cana-2253	21	1	each	each	DET
cana-2253	21	2	computational	computational	ADJ
cana-2253	21	3	phase	phase	NOUN
cana-2253	21	4	,	,	PUNCT
cana-2253	21	5	from	from	ADP
cana-2253	21	6	target	target	NOUN
cana-2253	21	7	discovery	discovery	NOUN
cana-2253	21	8	to	to	ADP
cana-2253	21	9	clinical	clinical	ADJ
cana-2253	21	10	trials	trial	NOUN
cana-2253	21	11	,	,	PUNCT
cana-2253	21	12	can	can	AUX
cana-2253	21	13	use	use	VERB
cana-2253	21	14	various	various	ADJ
cana-2253	21	15	computational	computational	ADJ
cana-2253	21	16	methods	method	NOUN
cana-2253	21	17	.	.	PUNCT
cana-2253	22	1	figure	figure	NOUN
cana-2253	22	2	1	1	NUM
cana-2253	22	3	shows	show	VERB
cana-2253	22	4	all	all	DET
cana-2253	22	5	computational	computational	ADJ
cana-2253	22	6	tools	tool	NOUN
cana-2253	22	7	relevant	relevant	ADJ
cana-2253	22	8	across	across	ADP
cana-2253	22	9	drug	drug	NOUN
cana-2253	22	10	development	development	NOUN
cana-2253	22	11	phases	phase	NOUN
cana-2253	22	12	in	in	ADP
cana-2253	22	13	a	a	DET
cana-2253	22	14	flow	flow	NOUN
cana-2253	22	15	diagram	diagram	NOUN
cana-2253	22	16	.	.	PUNCT
cana-2253	23	1	we	we	PRON
cana-2253	23	2	invented	invent	VERB
cana-2253	23	3	some	some	DET
cana-2253	23	4	great	great	ADJ
cana-2253	23	5	computational	computational	ADJ
cana-2253	23	6	systems	system	NOUN
cana-2253	23	7	and	and	CCONJ
cana-2253	23	8	methodologies	methodology	NOUN
cana-2253	23	9	for	for	ADP
cana-2253	23	10	drug	drug	NOUN
cana-2253	23	11	discovery	discovery	NOUN
cana-2253	23	12	and	and	CCONJ
cana-2253	23	13	development	development	NOUN
cana-2253	23	14	.	.	PUNCT
cana-2253	24	1	this	this	DET
cana-2253	24	2	field	field	NOUN
cana-2253	24	3	includes	include	VERB
cana-2253	24	4	target	target	NOUN
cana-2253	24	5	verification	verification	NOUN
cana-2253	24	6	,	,	PUNCT
cana-2253	24	7	virtual	virtual	ADJ
cana-2253	24	8	screening	screening	NOUN
cana-2253	24	9	based	base	VERB
cana-2253	24	10	on	on	ADP
cana-2253	24	11	docking	docking	NOUN
cana-2253	24	12	,	,	PUNCT
cana-2253	24	13	scoring	scoring	NOUN
cana-2253	24	14	functions	function	NOUN
cana-2253	24	15	,	,	PUNCT
cana-2253	24	16	conformation	conformation	NOUN
cana-2253	24	17	sampling	sampling	NOUN
cana-2253	24	18	,	,	PUNCT
cana-2253	24	19	molecular	molecular	ADJ
cana-2253	24	20	resemblance	resemblance	NOUN
cana-2253	24	21	computing	computing	NOUN
cana-2253	24	22	,	,	PUNCT
cana-2253	24	23	virtual	virtual	ADJ
cana-2253	24	24	library	library	NOUN
cana-2253	24	25	construction	construction	NOUN
cana-2253	24	26	,	,	PUNCT
cana-2253	24	27	and	and	CCONJ
cana-2253	24	28	sequence	sequence	NOUN
cana-2253	24	29	-	-	PUNCT
cana-2253	24	30	based	base	VERB
cana-2253	24	31	drug	drug	NOUN
cana-2253	24	32	design	design	NOUN
cana-2253	24	33	.	.	PUNCT
cana-2253	25	1	fig.1	fig.1	ADJ
cana-2253	25	2	:	:	PUNCT
cana-2253	25	3	drug	drug	NOUN
cana-2253	25	4	design	design	NOUN
cana-2253	25	5	process	process	NOUN
cana-2253	25	6	communications	communication	NOUN
cana-2253	25	7	on	on	ADP
cana-2253	25	8	applied	apply	VERB
cana-2253	25	9	nonlinear	nonlinear	ADJ
cana-2253	25	10	analysis	analysis	NOUN
cana-2253	25	11	issn	issn	NOUN
cana-2253	25	12	:	:	PUNCT
cana-2253	25	13	1074	1074	NUM
cana-2253	25	14	-	-	PUNCT
cana-2253	25	15	133x	133x	NUM
cana-2253	25	16	vol	vol	NOUN
cana-2253	25	17	32	32	NUM
cana-2253	25	18	no	no	NOUN
cana-2253	25	19	.	.	PUNCT
cana-2253	26	1	2s	2s	NUM
cana-2253	26	2	(	(	PUNCT
cana-2253	26	3	2025	2025	NUM
cana-2253	26	4	)	)	PUNCT
cana-2253	26	5	88	88	NUM
cana-2253	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2253	26	7	life	life	NOUN
cana-2253	26	8	expectancy	expectancy	NOUN
cana-2253	26	9	is	be	AUX
cana-2253	26	10	increasing	increase	VERB
cana-2253	26	11	as	as	ADP
cana-2253	26	12	a	a	DET
cana-2253	26	13	result	result	NOUN
cana-2253	26	14	of	of	ADP
cana-2253	26	15	better	well	ADJ
cana-2253	26	16	medical	medical	ADJ
cana-2253	26	17	treatment	treatment	NOUN
cana-2253	26	18	and	and	CCONJ
cana-2253	26	19	living	living	NOUN
cana-2253	26	20	situations	situation	NOUN
cana-2253	26	21	[	[	X
cana-2253	26	22	20	20	NUM
cana-2253	26	23	]	]	PUNCT
cana-2253	26	24	.	.	PUNCT
cana-2253	27	1	the	the	DET
cana-2253	27	2	rising	rise	VERB
cana-2253	27	3	rates	rate	NOUN
cana-2253	27	4	of	of	ADP
cana-2253	27	5	drug	drug	NOUN
cana-2253	27	6	interactions	interaction	NOUN
cana-2253	27	7	and	and	CCONJ
cana-2253	27	8	adverse	adverse	ADJ
cana-2253	27	9	drug	drug	NOUN
cana-2253	27	10	events	event	NOUN
cana-2253	27	11	,	,	PUNCT
cana-2253	27	12	along	along	ADP
cana-2253	27	13	with	with	ADP
cana-2253	27	14	the	the	DET
cana-2253	27	15	prevalence	prevalence	NOUN
cana-2253	27	16	of	of	ADP
cana-2253	27	17	many	many	ADJ
cana-2253	27	18	chronic	chronic	ADJ
cana-2253	27	19	diseases	disease	NOUN
cana-2253	27	20	in	in	ADP
cana-2253	27	21	the	the	DET
cana-2253	27	22	elderly	elderly	ADJ
cana-2253	27	23	,	,	PUNCT
cana-2253	27	24	make	make	VERB
cana-2253	27	25	individuals	individual	NOUN
cana-2253	27	26	and	and	CCONJ
cana-2253	27	27	healthcare	healthcare	NOUN
cana-2253	27	28	systems	system	NOUN
cana-2253	27	29	vulnerable	vulnerable	ADJ
cana-2253	27	30	to	to	ADP
cana-2253	27	31	the	the	DET
cana-2253	27	32	devastating	devastating	ADJ
cana-2253	27	33	effects	effect	NOUN
cana-2253	27	34	of	of	ADP
cana-2253	27	35	polypharmacy	polypharmacy	NOUN
cana-2253	27	36	and	and	CCONJ
cana-2253	27	37	multi	multi	NOUN
cana-2253	27	38	-	-	NOUN
cana-2253	27	39	morbidity	morbidity	NOUN
cana-2253	27	40	[	[	X
cana-2253	27	41	2	2	NUM
cana-2253	27	42	]	]	PUNCT
cana-2253	27	43	.	.	PUNCT
cana-2253	28	1	due	due	ADP
cana-2253	28	2	to	to	ADP
cana-2253	28	3	the	the	DET
cana-2253	28	4	sector	sector	NOUN
cana-2253	28	5	's	's	PART
cana-2253	28	6	complexity	complexity	NOUN
cana-2253	28	7	,	,	PUNCT
cana-2253	28	8	combination	combination	NOUN
cana-2253	28	9	drugs	drug	NOUN
cana-2253	28	10	are	be	AUX
cana-2253	28	11	becoming	become	VERB
cana-2253	28	12	more	more	ADV
cana-2253	28	13	common	common	ADJ
cana-2253	28	14	in	in	ADP
cana-2253	28	15	pharmacotherapy	pharmacotherapy	NOUN
cana-2253	28	16	.	.	PUNCT
cana-2253	29	1	to	to	PART
cana-2253	29	2	improve	improve	VERB
cana-2253	29	3	patient	patient	ADJ
cana-2253	29	4	outcomes	outcome	NOUN
cana-2253	29	5	and	and	CCONJ
cana-2253	29	6	treatment	treatment	NOUN
cana-2253	29	7	efficacy	efficacy	NOUN
cana-2253	29	8	.	.	PUNCT
cana-2253	30	1	novel	novel	ADJ
cana-2253	30	2	medication	medication	NOUN
cana-2253	30	3	production	production	NOUN
cana-2253	30	4	still	still	ADV
cana-2253	30	5	has	have	VERB
cana-2253	30	6	a	a	DET
cana-2253	30	7	high	high	ADJ
cana-2253	30	8	failure	failure	NOUN
cana-2253	30	9	rate	rate	NOUN
cana-2253	30	10	,	,	PUNCT
cana-2253	30	11	long	long	ADJ
cana-2253	30	12	delays	delay	NOUN
cana-2253	30	13	,	,	PUNCT
cana-2253	30	14	and	and	CCONJ
cana-2253	30	15	expensive	expensive	ADJ
cana-2253	30	16	costs	cost	NOUN
cana-2253	30	17	.	.	PUNCT
cana-2253	31	1	even	even	ADV
cana-2253	31	2	when	when	SCONJ
cana-2253	31	3	certain	certain	ADJ
cana-2253	31	4	combinations	combination	NOUN
cana-2253	31	5	show	show	VERB
cana-2253	31	6	promising	promising	ADJ
cana-2253	31	7	benefits	benefit	NOUN
cana-2253	31	8	,	,	PUNCT
cana-2253	31	9	harmful	harmful	ADJ
cana-2253	31	10	drug	drug	NOUN
cana-2253	31	11	interactions	interaction	NOUN
cana-2253	31	12	must	must	AUX
cana-2253	31	13	be	be	AUX
cana-2253	31	14	addressed	address	VERB
cana-2253	31	15	immediately	immediately	ADV
cana-2253	31	16	to	to	PART
cana-2253	31	17	protect	protect	VERB
cana-2253	31	18	patients	patient	NOUN
cana-2253	31	19	.	.	PUNCT
cana-2253	32	1	due	due	ADP
cana-2253	32	2	to	to	ADP
cana-2253	32	3	the	the	DET
cana-2253	32	4	complexity	complexity	NOUN
cana-2253	32	5	of	of	ADP
cana-2253	32	6	these	these	DET
cana-2253	32	7	linkages	linkage	NOUN
cana-2253	32	8	,	,	PUNCT
cana-2253	32	9	typical	typical	ADJ
cana-2253	32	10	ddi	ddi	ADJ
cana-2253	32	11	evaluation	evaluation	NOUN
cana-2253	32	12	methods	method	NOUN
cana-2253	32	13	are	be	AUX
cana-2253	32	14	reductionist	reductionist	ADJ
cana-2253	32	15	.	.	PUNCT
cana-2253	33	1	understanding	understand	VERB
cana-2253	33	2	the	the	DET
cana-2253	33	3	multiple	multiple	ADJ
cana-2253	33	4	elements	element	NOUN
cana-2253	33	5	that	that	PRON
cana-2253	33	6	affect	affect	VERB
cana-2253	33	7	ddi	ddi	PROPN
cana-2253	33	8	is	be	AUX
cana-2253	33	9	essential	essential	ADJ
cana-2253	33	10	for	for	ADP
cana-2253	33	11	management	management	NOUN
cana-2253	33	12	.	.	PUNCT
cana-2253	34	1	these	these	DET
cana-2253	34	2	considerations	consideration	NOUN
cana-2253	34	3	include	include	VERB
cana-2253	34	4	prescription	prescription	NOUN
cana-2253	34	5	doses	dose	NOUN
cana-2253	34	6	,	,	PUNCT
cana-2253	34	7	patient	patient	ADJ
cana-2253	34	8	health	health	NOUN
cana-2253	34	9	,	,	PUNCT
cana-2253	34	10	drug	drug	NOUN
cana-2253	34	11	pharmacodynamics	pharmacodynamic	NOUN
cana-2253	34	12	and	and	CCONJ
cana-2253	34	13	pharmacokinetic	pharmacokinetic	ADJ
cana-2253	34	14	characteristics	characteristic	NOUN
cana-2253	34	15	[	[	X
cana-2253	34	16	4	4	X
cana-2253	34	17	]	]	X
cana-2253	34	18	[	[	X
cana-2253	34	19	14	14	NUM
cana-2253	34	20	]	]	PUNCT
cana-2253	34	21	.	.	PUNCT
cana-2253	35	1	due	due	ADP
cana-2253	35	2	to	to	ADP
cana-2253	35	3	the	the	DET
cana-2253	35	4	complexity	complexity	NOUN
cana-2253	35	5	of	of	ADP
cana-2253	35	6	the	the	DET
cana-2253	35	7	scenario	scenario	NOUN
cana-2253	35	8	,	,	PUNCT
cana-2253	35	9	risk	risk	NOUN
cana-2253	35	10	assessment	assessment	NOUN
cana-2253	35	11	must	must	AUX
cana-2253	35	12	be	be	AUX
cana-2253	35	13	stricter	strict	ADJ
cana-2253	35	14	to	to	PART
cana-2253	35	15	ensure	ensure	VERB
cana-2253	35	16	safe	safe	ADJ
cana-2253	35	17	and	and	CCONJ
cana-2253	35	18	effective	effective	ADJ
cana-2253	35	19	pharmaceutical	pharmaceutical	NOUN
cana-2253	35	20	therapy	therapy	NOUN
cana-2253	35	21	.	.	PUNCT
cana-2253	36	1	this	this	DET
cana-2253	36	2	study	study	NOUN
cana-2253	36	3	applies	apply	VERB
cana-2253	36	4	the	the	DET
cana-2253	36	5	anfis	anfis	PROPN
cana-2253	36	6	to	to	PART
cana-2253	36	7	risk	risk	VERB
cana-2253	36	8	assessment	assessment	NOUN
cana-2253	36	9	and	and	CCONJ
cana-2253	36	10	drug	drug	NOUN
cana-2253	36	11	interaction	interaction	NOUN
cana-2253	36	12	prediction	prediction	NOUN
cana-2253	36	13	.	.	PUNCT
cana-2253	37	1	this	this	DET
cana-2253	37	2	study	study	NOUN
cana-2253	37	3	aims	aim	VERB
cana-2253	37	4	to	to	PART
cana-2253	37	5	address	address	VERB
cana-2253	37	6	the	the	DET
cana-2253	37	7	aforesaid	aforesaid	ADJ
cana-2253	37	8	issues	issue	NOUN
cana-2253	37	9	.	.	PUNCT
cana-2253	38	1	fuzzy	fuzzy	ADJ
cana-2253	38	2	logic	logic	NOUN
cana-2253	38	3	and	and	CCONJ
cana-2253	38	4	neural	neural	ADJ
cana-2253	38	5	networks	network	NOUN
cana-2253	38	6	make	make	VERB
cana-2253	38	7	the	the	DET
cana-2253	38	8	anfis	anfis	ADJ
cana-2253	38	9	a	a	DET
cana-2253	38	10	smart	smart	ADJ
cana-2253	38	11	decisionmaking	decisionmake	VERB
cana-2253	38	12	tool	tool	NOUN
cana-2253	38	13	that	that	PRON
cana-2253	38	14	simplifies	simplify	VERB
cana-2253	38	15	drug	drug	NOUN
cana-2253	38	16	interactions	interaction	NOUN
cana-2253	38	17	'	'	PART
cana-2253	38	18	complexity	complexity	NOUN
cana-2253	38	19	and	and	CCONJ
cana-2253	38	20	unpredictability	unpredictability	NOUN
cana-2253	38	21	[	[	X
cana-2253	38	22	8	8	NUM
cana-2253	38	23	]	]	PUNCT
cana-2253	38	24	.	.	PUNCT
cana-2253	39	1	fuzzy	fuzzy	ADJ
cana-2253	39	2	rules	rule	NOUN
cana-2253	39	3	allow	allow	VERB
cana-2253	39	4	the	the	DET
cana-2253	39	5	model	model	NOUN
cana-2253	39	6	to	to	PART
cana-2253	39	7	assess	assess	VERB
cana-2253	39	8	risk	risk	NOUN
cana-2253	39	9	by	by	ADP
cana-2253	39	10	include	include	VERB
cana-2253	39	11	key	key	ADJ
cana-2253	39	12	medication	medication	NOUN
cana-2253	39	13	interaction	interaction	NOUN
cana-2253	39	14	data	datum	NOUN
cana-2253	39	15	[	[	X
cana-2253	39	16	6	6	NUM
cana-2253	39	17	]	]	PUNCT
cana-2253	39	18	.	.	PUNCT
cana-2253	40	1	this	this	DET
cana-2253	40	2	study	study	NOUN
cana-2253	40	3	found	find	VERB
cana-2253	40	4	that	that	SCONJ
cana-2253	40	5	using	use	VERB
cana-2253	40	6	the	the	DET
cana-2253	40	7	anfis	anfis	ADJ
cana-2253	40	8	framework	framework	NOUN
cana-2253	40	9	can	can	AUX
cana-2253	40	10	improve	improve	VERB
cana-2253	40	11	medication	medication	NOUN
cana-2253	40	12	management	management	NOUN
cana-2253	40	13	by	by	ADP
cana-2253	40	14	emphasizing	emphasize	VERB
cana-2253	40	15	patient	patient	ADJ
cana-2253	40	16	safety	safety	NOUN
cana-2253	40	17	and	and	CCONJ
cana-2253	40	18	reducing	reduce	VERB
cana-2253	40	19	adverse	adverse	ADJ
cana-2253	40	20	drug	drug	NOUN
cana-2253	40	21	interactions	interaction	NOUN
cana-2253	40	22	.	.	PUNCT
cana-2253	41	1	advanced	advanced	ADJ
cana-2253	41	2	computational	computational	ADJ
cana-2253	41	3	methods	method	NOUN
cana-2253	41	4	in	in	ADP
cana-2253	41	5	clinical	clinical	ADJ
cana-2253	41	6	practice	practice	NOUN
cana-2253	41	7	may	may	AUX
cana-2253	41	8	lessen	lessen	VERB
cana-2253	41	9	complex	complex	ADJ
cana-2253	41	10	pharmacological	pharmacological	NOUN
cana-2253	41	11	hazards	hazard	NOUN
cana-2253	41	12	as	as	SCONJ
cana-2253	41	13	the	the	DET
cana-2253	41	14	healthcare	healthcare	NOUN
cana-2253	41	15	sector	sector	NOUN
cana-2253	41	16	rapidly	rapidly	ADV
cana-2253	41	17	changes	change	VERB
cana-2253	41	18	[	[	X
cana-2253	41	19	10	10	NUM
cana-2253	41	20	]	]	X
cana-2253	42	1	[	[	X
cana-2253	42	2	18	18	NUM
cana-2253	42	3	]	]	PUNCT
cana-2253	42	4	.	.	PUNCT
cana-2253	43	1	key	key	ADJ
cana-2253	43	2	benefits	benefit	NOUN
cana-2253	43	3	of	of	ADP
cana-2253	43	4	the	the	DET
cana-2253	43	5	article	article	NOUN
cana-2253	43	6	1	1	NUM
cana-2253	43	7	.	.	PUNCT
cana-2253	44	1	this	this	DET
cana-2253	44	2	study	study	NOUN
cana-2253	44	3	assessed	assess	VERB
cana-2253	44	4	and	and	CCONJ
cana-2253	44	5	predicted	predict	VERB
cana-2253	44	6	pharmaceutical	pharmaceutical	ADJ
cana-2253	44	7	interaction	interaction	NOUN
cana-2253	44	8	risks	risk	NOUN
cana-2253	44	9	using	use	VERB
cana-2253	44	10	an	an	DET
cana-2253	44	11	anfis	anfis	PROPN
cana-2253	44	12	.	.	PUNCT
cana-2253	45	1	the	the	DET
cana-2253	45	2	framework	framework	NOUN
cana-2253	45	3	uses	use	VERB
cana-2253	45	4	fuzzy	fuzzy	ADJ
cana-2253	45	5	logic	logic	NOUN
cana-2253	45	6	and	and	CCONJ
cana-2253	45	7	neural	neural	ADJ
cana-2253	45	8	networks	network	NOUN
cana-2253	45	9	to	to	PART
cana-2253	45	10	handle	handle	VERB
cana-2253	45	11	drug	drug	NOUN
cana-2253	45	12	interaction	interaction	NOUN
cana-2253	45	13	complexity	complexity	NOUN
cana-2253	45	14	and	and	CCONJ
cana-2253	45	15	unpredictability	unpredictability	NOUN
cana-2253	45	16	,	,	PUNCT
cana-2253	45	17	making	make	VERB
cana-2253	45	18	it	it	PRON
cana-2253	45	19	a	a	DET
cana-2253	45	20	powerful	powerful	ADJ
cana-2253	45	21	decision	decision	NOUN
cana-2253	45	22	-	-	PUNCT
cana-2253	45	23	making	make	VERB
cana-2253	45	24	tool	tool	NOUN
cana-2253	45	25	.	.	PUNCT
cana-2253	46	1	2	2	X
cana-2253	46	2	.	.	X
cana-2253	46	3	after	after	ADP
cana-2253	46	4	training	train	VERB
cana-2253	46	5	with	with	ADP
cana-2253	46	6	a	a	DET
cana-2253	46	7	dataset	dataset	NOUN
cana-2253	46	8	of	of	ADP
cana-2253	46	9	known	know	VERB
cana-2253	46	10	drug	drug	NOUN
cana-2253	46	11	interactions	interaction	NOUN
cana-2253	46	12	,	,	PUNCT
cana-2253	46	13	the	the	DET
cana-2253	46	14	model	model	NOUN
cana-2253	46	15	is	be	AUX
cana-2253	46	16	assessed	assess	VERB
cana-2253	46	17	for	for	ADP
cana-2253	46	18	accuracy	accuracy	NOUN
cana-2253	46	19	,	,	PUNCT
cana-2253	46	20	specificity	specificity	NOUN
cana-2253	46	21	,	,	PUNCT
cana-2253	46	22	and	and	CCONJ
cana-2253	46	23	mse	mse	NOUN
cana-2253	46	24	.	.	PUNCT
cana-2253	47	1	3	3	X
cana-2253	47	2	.	.	PUNCT
cana-2253	47	3	this	this	DET
cana-2253	47	4	study	study	NOUN
cana-2253	47	5	suggests	suggest	VERB
cana-2253	47	6	that	that	SCONJ
cana-2253	47	7	the	the	DET
cana-2253	47	8	anfis	anfis	ADJ
cana-2253	47	9	architecture	architecture	NOUN
cana-2253	47	10	may	may	AUX
cana-2253	47	11	improve	improve	VERB
cana-2253	47	12	medication	medication	NOUN
cana-2253	47	13	management	management	NOUN
cana-2253	47	14	security	security	NOUN
cana-2253	47	15	and	and	CCONJ
cana-2253	47	16	reduce	reduce	VERB
cana-2253	47	17	dangerous	dangerous	ADJ
cana-2253	47	18	drug	drug	NOUN
cana-2253	47	19	interactions	interaction	NOUN
cana-2253	47	20	.	.	PUNCT
cana-2253	48	1	2	2	X
cana-2253	48	2	.	.	X
cana-2253	48	3	literature	literature	NOUN
cana-2253	48	4	survey	survey	PROPN
cana-2253	48	5	han	han	PROPN
cana-2253	48	6	et	et	PROPN
cana-2253	48	7	al	al	PROPN
cana-2253	48	8	.	.	PUNCT
cana-2253	49	1	[	[	X
cana-2253	49	2	9	9	NUM
cana-2253	49	3	]	]	PUNCT
cana-2253	49	4	say	say	VERB
cana-2253	49	5	the	the	DET
cana-2253	49	6	mcff	mcff	PROPN
cana-2253	49	7	-	-	PUNCT
cana-2253	49	8	mtddi	mtddi	NOUN
cana-2253	49	9	model	model	NOUN
cana-2253	49	10	can	can	AUX
cana-2253	49	11	predict	predict	VERB
cana-2253	49	12	several	several	ADJ
cana-2253	49	13	ddi	ddi	ADJ
cana-2253	49	14	types	type	NOUN
cana-2253	49	15	.	.	PUNCT
cana-2253	50	1	initial	initial	ADJ
cana-2253	50	2	phases	phase	NOUN
cana-2253	50	3	were	be	AUX
cana-2253	50	4	kg	kg	PROPN
cana-2253	50	5	characteristics	characteristic	NOUN
cana-2253	50	6	,	,	PUNCT
cana-2253	50	7	pill	pill	NOUN
cana-2253	50	8	-	-	PUNCT
cana-2253	50	9	matching	match	VERB
cana-2253	50	10	label	label	NOUN
cana-2253	50	11	data	datum	NOUN
cana-2253	50	12	,	,	PUNCT
cana-2253	50	13	and	and	CCONJ
cana-2253	50	14	medicine	medicine	NOUN
cana-2253	50	15	chemical	chemical	NOUN
cana-2253	50	16	structure	structure	NOUN
cana-2253	50	17	extraction	extraction	NOUN
cana-2253	50	18	.	.	PUNCT
cana-2253	51	1	a	a	DET
cana-2253	51	2	multi	multi	ADJ
cana-2253	51	3	-	-	ADJ
cana-2253	51	4	channel	channel	ADJ
cana-2253	51	5	feature	feature	NOUN
cana-2253	51	6	fusion	fusion	NOUN
cana-2253	51	7	module	module	NOUN
cana-2253	51	8	completed	complete	VERB
cana-2253	51	9	the	the	DET
cana-2253	51	10	package	package	NOUN
cana-2253	51	11	.	.	PUNCT
cana-2253	52	1	finally	finally	ADV
cana-2253	52	2	,	,	PUNCT
cana-2253	52	3	the	the	DET
cana-2253	52	4	fully	fully	ADV
cana-2253	52	5	-	-	PUNCT
cana-2253	52	6	connected	connect	VERB
cana-2253	52	7	neural	neural	ADJ
cana-2253	52	8	network	network	NOUN
cana-2253	52	9	accurately	accurately	ADV
cana-2253	52	10	predicted	predict	VERB
cana-2253	52	11	various	various	ADJ
cana-2253	52	12	ddis	ddi	NOUN
cana-2253	52	13	[	[	X
cana-2253	52	14	12	12	NUM
cana-2253	52	15	]	]	PUNCT
cana-2253	52	16	.	.	PUNCT
cana-2253	53	1	implementing	implement	VERB
cana-2253	53	2	a	a	DET
cana-2253	53	3	gated	gate	VERB
cana-2253	53	4	recurrent	recurrent	ADJ
cana-2253	53	5	unit	unit	NOUN
cana-2253	53	6	-	-	PUNCT
cana-2253	53	7	based	base	VERB
cana-2253	53	8	multi	multi	ADJ
cana-2253	53	9	-	-	ADJ
cana-2253	53	10	channel	channel	ADJ
cana-2253	53	11	feature	feature	NOUN
cana-2253	53	12	fusion	fusion	NOUN
cana-2253	53	13	module	module	NOUN
cana-2253	53	14	reduced	reduce	VERB
cana-2253	53	15	feature	feature	NOUN
cana-2253	53	16	redundancy	redundancy	NOUN
cana-2253	53	17	.	.	PUNCT
cana-2253	54	1	we	we	PRON
cana-2253	54	2	shall	shall	AUX
cana-2253	54	3	discuss	discuss	VERB
cana-2253	54	4	drug	drug	NOUN
cana-2253	54	5	combinations	combination	NOUN
cana-2253	54	6	in	in	ADP
cana-2253	54	7	depth	depth	NOUN
cana-2253	54	8	here	here	ADV
cana-2253	54	9	.	.	PUNCT
cana-2253	55	1	the	the	DET
cana-2253	55	2	multi	multi	ADJ
cana-2253	55	3	-	-	ADJ
cana-2253	55	4	class	class	ADJ
cana-2253	55	5	and	and	CCONJ
cana-2253	55	6	multi	multi	ADJ
cana-2253	55	7	-	-	ADJ
cana-2253	55	8	label	label	ADJ
cana-2253	55	9	prediction	prediction	NOUN
cana-2253	55	10	tasks	task	NOUN
cana-2253	55	11	tested	test	VERB
cana-2253	55	12	mcff	mcff	PROPN
cana-2253	55	13	-	-	PUNCT
cana-2253	55	14	mtddi	mtddi	NOUN
cana-2253	55	15	's	's	PART
cana-2253	55	16	predictions	prediction	NOUN
cana-2253	55	17	about	about	ADP
cana-2253	55	18	drug	drug	NOUN
cana-2253	55	19	interactions	interaction	NOUN
cana-2253	55	20	between	between	ADP
cana-2253	55	21	known	know	VERB
cana-2253	55	22	-	-	PUNCT
cana-2253	55	23	new	new	ADJ
cana-2253	55	24	,	,	PUNCT
cana-2253	55	25	new	new	ADJ
cana-2253	55	26	-	-	PUNCT
cana-2253	55	27	new	new	ADJ
cana-2253	55	28	,	,	PUNCT
cana-2253	55	29	and	and	CCONJ
cana-2253	55	30	known	know	VERB
cana-2253	55	31	-	-	PUNCT
cana-2253	55	32	new	new	ADJ
cana-2253	55	33	pharmaceuticals	pharmaceutical	NOUN
cana-2253	55	34	using	use	VERB
cana-2253	55	35	four	four	NUM
cana-2253	55	36	datasets	dataset	NOUN
cana-2253	55	37	[	[	X
cana-2253	55	38	16	16	NUM
cana-2253	55	39	]	]	PUNCT
cana-2253	55	40	.	.	PUNCT
cana-2253	56	1	all	all	DET
cana-2253	56	2	findings	finding	NOUN
cana-2253	56	3	showed	show	VERB
cana-2253	56	4	that	that	SCONJ
cana-2253	56	5	the	the	DET
cana-2253	56	6	mcff	mcff	NOUN
cana-2253	56	7	-	-	PUNCT
cana-2253	56	8	mtddi	mtddi	NOUN
cana-2253	56	9	formula	formula	NOUN
cana-2253	56	10	worked.the	worked.the	DET
cana-2253	56	11	dutch	dutch	ADJ
cana-2253	56	12	pharmacogenetics	pharmacogenetics	PROPN
cana-2253	56	13	working	working	PROPN
cana-2253	56	14	group	group	NOUN
cana-2253	56	15	(	(	PUNCT
cana-2253	56	16	dpwg	dpwg	PROPN
cana-2253	56	17	)	)	PUNCT
cana-2253	56	18	develops	develop	VERB
cana-2253	56	19	evidence	evidence	NOUN
cana-2253	56	20	-	-	PUNCT
cana-2253	56	21	based	base	VERB
cana-2253	56	22	recommendations	recommendation	NOUN
cana-2253	56	23	to	to	PART
cana-2253	56	24	improve	improve	VERB
cana-2253	56	25	pharmacotherapy	pharmacotherapy	NOUN
cana-2253	56	26	and	and	CCONJ
cana-2253	56	27	pgx	pgx	PROPN
cana-2253	56	28	use	use	NOUN
cana-2253	56	29	,	,	PUNCT
cana-2253	56	30	according	accord	VERB
cana-2253	56	31	to	to	ADP
cana-2253	56	32	hulshof	hulshof	PROPN
cana-2253	56	33	et	et	PROPN
cana-2253	56	34	al	al	PROPN
cana-2253	56	35	.	.	PUNCT
cana-2253	57	1	[	[	X
cana-2253	57	2	22	22	NUM
cana-2253	57	3	]	]	PUNCT
cana-2253	57	4	.	.	PUNCT
cana-2253	58	1	this	this	DET
cana-2253	58	2	idea	idea	NOUN
cana-2253	58	3	adjusts	adjust	VERB
cana-2253	58	4	the	the	DET
cana-2253	58	5	initial	initial	ADJ
cana-2253	58	6	dosage	dosage	NOUN
cana-2253	58	7	of	of	ADP
cana-2253	58	8	the	the	DET
cana-2253	58	9	anti	anti	ADJ
cana-2253	58	10	-	-	ADJ
cana-2253	58	11	cancer	cancer	ADJ
cana-2253	58	12	drug	drug	NOUN
cana-2253	58	13	irinotecan	irinotecan	NOUN
cana-2253	58	14	to	to	PART
cana-2253	58	15	lessen	lessen	VERB
cana-2253	58	16	the	the	DET
cana-2253	58	17	risk	risk	NOUN
cana-2253	58	18	of	of	ADP
cana-2253	58	19	febrile	febrile	NOUN
cana-2253	58	20	neutropenia	neutropenia	NOUN
cana-2253	58	21	and	and	CCONJ
cana-2253	58	22	diarrhea	diarrhea	NOUN
cana-2253	58	23	.	.	PUNCT
cana-2253	59	1	mutations	mutation	NOUN
cana-2253	59	2	in	in	ADP
cana-2253	59	3	the	the	DET
cana-2253	59	4	uridine	uridine	NOUN
cana-2253	59	5	diphosphate	diphosphate	NOUN
cana-2253	59	6	glucuronosyl	glucuronosyl	NOUN
cana-2253	59	7	transferase	transferase	NOUN
cana-2253	59	8	1a1	1a1	NUM
cana-2253	59	9	gene	gene	NOUN
cana-2253	59	10	increase	increase	NOUN
cana-2253	59	11	the	the	DET
cana-2253	59	12	risk	risk	NOUN
cana-2253	59	13	of	of	ADP
cana-2253	59	14	immunosuppression	immunosuppression	NOUN
cana-2253	59	15	from	from	ADP
cana-2253	59	16	irinotecan	irinotecan	NOUN
cana-2253	59	17	.	.	PUNCT
cana-2253	60	1	the	the	DET
cana-2253	60	2	dpwg	dpwg	NOUN
cana-2253	60	3	advises	advise	VERB
cana-2253	60	4	leaving	leave	VERB
cana-2253	60	5	intramuscular	intramuscular	ADV
cana-2253	60	6	(	(	PUNCT
cana-2253	60	7	i	i	NOUN
cana-2253	60	8	m	m	VERB
cana-2253	60	9	)	)	PUNCT
cana-2253	60	10	irinotecan	irinotecan	NOUN
cana-2253	60	11	at	at	ADP
cana-2253	60	12	70	70	NUM
cana-2253	60	13	%	%	NOUN
cana-2253	60	14	for	for	ADP
cana-2253	60	15	pm	pm	NOUN
cana-2253	60	16	patients	patient	NOUN
cana-2253	60	17	starting	start	VERB
cana-2253	60	18	communications	communication	NOUN
cana-2253	60	19	on	on	ADP
cana-2253	60	20	applied	apply	VERB
cana-2253	60	21	nonlinear	nonlinear	ADJ
cana-2253	60	22	analysis	analysis	NOUN
cana-2253	60	23	issn	issn	NOUN
cana-2253	60	24	:	:	PUNCT
cana-2253	60	25	1074	1074	NUM
cana-2253	60	26	-	-	PUNCT
cana-2253	60	27	133x	133x	NUM
cana-2253	60	28	vol	vol	NOUN
cana-2253	60	29	32	32	NUM
cana-2253	60	30	no	no	NOUN
cana-2253	60	31	.	.	PUNCT
cana-2253	61	1	2s	2s	NUM
cana-2253	61	2	(	(	PUNCT
cana-2253	61	3	2025	2025	NUM
cana-2253	61	4	)	)	PUNCT
cana-2253	61	5	89	89	NUM
cana-2253	61	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2253	61	7	treatment	treatment	NOUN
cana-2253	61	8	.	.	PUNCT
cana-2253	62	1	to	to	PART
cana-2253	62	2	receive	receive	VERB
cana-2253	62	3	irinotecan	irinotecan	NOUN
cana-2253	62	4	,	,	PUNCT
cana-2253	62	5	patients	patient	NOUN
cana-2253	62	6	must	must	AUX
cana-2253	62	7	undergo	undergo	VERB
cana-2253	62	8	"	"	PUNCT
cana-2253	62	9	important	important	ADJ
cana-2253	62	10	"	"	PUNCT
cana-2253	62	11	ugt1a1	ugt1a1	ADJ
cana-2253	62	12	genotyping	genotyping	NOUN
cana-2253	62	13	tests	test	NOUN
cana-2253	62	14	,	,	PUNCT
cana-2253	62	15	according	accord	VERB
cana-2253	62	16	to	to	ADP
cana-2253	62	17	the	the	DET
cana-2253	62	18	dpwg	dpwg	PROPN
cana-2253	62	19	clinical	clinical	ADJ
cana-2253	62	20	consequence	consequence	NOUN
cana-2253	62	21	score	score	NOUN
cana-2253	62	22	.	.	PUNCT
cana-2253	63	1	tang	tang	PROPN
cana-2253	63	2	et	et	PROPN
cana-2253	63	3	al	al	PROPN
cana-2253	63	4	.	.	PUNCT
cana-2253	64	1	[	[	X
cana-2253	64	2	11	11	NUM
cana-2253	64	3	]	]	PUNCT
cana-2253	64	4	invented	invent	VERB
cana-2253	64	5	the	the	DET
cana-2253	64	6	pluggable	pluggable	ADJ
cana-2253	64	7	substructure	substructure	NOUN
cana-2253	64	8	interaction	interaction	NOUN
cana-2253	64	9	module	module	NOUN
cana-2253	64	10	dsil	dsil	NOUN
cana-2253	64	11	-	-	PUNCT
cana-2253	64	12	ddi	ddi	PROPN
cana-2253	64	13	,	,	PUNCT
cana-2253	64	14	which	which	PRON
cana-2253	64	15	stands	stand	VERB
cana-2253	64	16	for	for	ADP
cana-2253	64	17	domain	domain	NOUN
cana-2253	64	18	consistent	consistent	ADJ
cana-2253	64	19	substructure	substructure	NOUN
cana-2253	64	20	contact	contact	NOUN
cana-2253	64	21	of	of	ADP
cana-2253	64	22	drug	drug	NOUN
cana-2253	64	23	-	-	PUNCT
cana-2253	64	24	drug	drug	NOUN
cana-2253	64	25	prediction	prediction	NOUN
cana-2253	64	26	.	.	PUNCT
cana-2253	65	1	with	with	ADP
cana-2253	65	2	this	this	DET
cana-2253	65	3	module	module	NOUN
cana-2253	65	4	,	,	PUNCT
cana-2253	65	5	the	the	DET
cana-2253	65	6	source	source	NOUN
cana-2253	65	7	domain	domain	NOUN
cana-2253	65	8	can	can	AUX
cana-2253	65	9	acquire	acquire	VERB
cana-2253	65	10	domain	domain	NOUN
cana-2253	65	11	-	-	PUNCT
cana-2253	65	12	invariant	invariant	ADJ
cana-2253	65	13	ddi	ddi	NOUN
cana-2253	65	14	representations	representation	NOUN
cana-2253	65	15	.	.	PUNCT
cana-2253	66	1	it	it	PRON
cana-2253	66	2	studies	study	VERB
cana-2253	66	3	substructure	substructure	ADJ
cana-2253	66	4	interactions	interaction	NOUN
cana-2253	66	5	.	.	PUNCT
cana-2253	67	1	the	the	DET
cana-2253	67	2	first	first	ADJ
cana-2253	67	3	scenario	scenario	NOUN
cana-2253	67	4	,	,	PUNCT
cana-2253	67	5	transduction	transduction	NOUN
cana-2253	67	6	,	,	PUNCT
cana-2253	67	7	includes	include	VERB
cana-2253	67	8	all	all	DET
cana-2253	67	9	drugs	drug	NOUN
cana-2253	67	10	in	in	ADP
cana-2253	67	11	the	the	DET
cana-2253	67	12	test	test	NOUN
cana-2253	67	13	set	set	VERB
cana-2253	67	14	and	and	CCONJ
cana-2253	67	15	the	the	DET
cana-2253	67	16	training	training	NOUN
cana-2253	67	17	set	set	NOUN
cana-2253	67	18	.	.	PUNCT
cana-2253	68	1	the	the	DET
cana-2253	68	2	second	second	ADJ
cana-2253	68	3	scenario	scenario	NOUN
cana-2253	68	4	,	,	PUNCT
cana-2253	68	5	induction	induction	NOUN
cana-2253	68	6	,	,	PUNCT
cana-2253	68	7	adds	add	VERB
cana-2253	68	8	new	new	ADJ
cana-2253	68	9	medications	medication	NOUN
cana-2253	68	10	to	to	ADP
cana-2253	68	11	the	the	DET
cana-2253	68	12	training	training	NOUN
cana-2253	68	13	set	set	NOUN
cana-2253	68	14	.	.	PUNCT
cana-2253	69	1	in	in	ADP
cana-2253	69	2	the	the	DET
cana-2253	69	3	third	third	ADJ
cana-2253	69	4	and	and	CCONJ
cana-2253	69	5	final	final	ADJ
cana-2253	69	6	situation	situation	NOUN
cana-2253	69	7	,	,	PUNCT
cana-2253	69	8	"	"	PUNCT
cana-2253	69	9	out	out	ADP
cana-2253	69	10	-	-	PUNCT
cana-2253	69	11	of	of	ADP
cana-2253	69	12	-	-	PUNCT
cana-2253	69	13	the	the	DET
cana-2253	69	14	-	-	PUNCT
cana-2253	69	15	box	box	NOUN
cana-2253	69	16	generalization	generalization	NOUN
cana-2253	69	17	,	,	PUNCT
cana-2253	69	18	"	"	PUNCT
cana-2253	69	19	testing	testing	NOUN
cana-2253	69	20	and	and	CCONJ
cana-2253	69	21	training	training	NOUN
cana-2253	69	22	databases	database	NOUN
cana-2253	69	23	are	be	AUX
cana-2253	69	24	different	different	ADJ
cana-2253	69	25	.	.	PUNCT
cana-2253	70	1	the	the	DET
cana-2253	70	2	findings	finding	NOUN
cana-2253	70	3	suggest	suggest	VERB
cana-2253	70	4	that	that	SCONJ
cana-2253	70	5	dsil	dsil	NOUN
cana-2253	70	6	-	-	PUNCT
cana-2253	70	7	ddi	ddi	PROPN
cana-2253	70	8	could	could	AUX
cana-2253	70	9	improve	improve	VERB
cana-2253	70	10	ood	ood	PROPN
cana-2253	70	11	ddi	ddi	PROPN
cana-2253	70	12	predictions	prediction	NOUN
cana-2253	70	13	and	and	CCONJ
cana-2253	70	14	help	help	VERB
cana-2253	70	15	models	model	NOUN
cana-2253	70	16	generalize	generalize	VERB
cana-2253	70	17	and	and	CCONJ
cana-2253	70	18	comprehend	comprehend	VERB
cana-2253	70	19	data	datum	NOUN
cana-2253	70	20	.	.	PUNCT
cana-2253	71	1	medical	medical	ADJ
cana-2253	71	2	personnel	personnel	NOUN
cana-2253	71	3	can	can	AUX
cana-2253	71	4	secure	secure	VERB
cana-2253	71	5	patient	patient	ADJ
cana-2253	71	6	medicine	medicine	NOUN
cana-2253	71	7	delivery	delivery	NOUN
cana-2253	71	8	and	and	CCONJ
cana-2253	71	9	decrease	decrease	VERB
cana-2253	71	10	drug	drug	NOUN
cana-2253	71	11	abuse	abuse	NOUN
cana-2253	71	12	side	side	NOUN
cana-2253	71	13	effects	effect	NOUN
cana-2253	71	14	with	with	ADP
cana-2253	71	15	dsil	dsil	NOUN
cana-2253	71	16	-	-	PUNCT
cana-2253	71	17	ddi	ddi	ADJ
cana-2253	71	18	.	.	PUNCT
cana-2253	72	1	gill	gill	PROPN
cana-2253	72	2	et	et	PROPN
cana-2253	72	3	al	al	PROPN
cana-2253	72	4	.	.	PUNCT
cana-2253	73	1	[	[	X
cana-2253	73	2	19	19	NUM
cana-2253	73	3	]	]	PUNCT
cana-2253	73	4	tested	test	VERB
cana-2253	73	5	reg	reg	NOUN
cana-2253	73	6	-	-	PUNCT
cana-2253	73	7	ml	ml	NOUN
cana-2253	73	8	's	's	PART
cana-2253	73	9	ability	ability	NOUN
cana-2253	73	10	to	to	PART
cana-2253	73	11	predict	predict	VERB
cana-2253	73	12	drug	drug	NOUN
cana-2253	73	13	exposure	exposure	NOUN
cana-2253	73	14	from	from	ADP
cana-2253	73	15	pharmacokinetic	pharmacokinetic	ADJ
cana-2253	73	16	drug	drug	NOUN
cana-2253	73	17	-	-	PUNCT
cana-2253	73	18	drug	drug	NOUN
cana-2253	73	19	interactions	interaction	NOUN
cana-2253	73	20	.	.	PUNCT
cana-2253	74	1	this	this	DET
cana-2253	74	2	study	study	NOUN
cana-2253	74	3	examined	examine	VERB
cana-2253	74	4	demographics	demographic	NOUN
cana-2253	74	5	,	,	PUNCT
cana-2253	74	6	cytochrome	cytochrome	ADJ
cana-2253	74	7	p450	p450	NUM
cana-2253	74	8	metabolic	metabolic	NOUN
cana-2253	74	9	activity	activity	NOUN
cana-2253	74	10	,	,	PUNCT
cana-2253	74	11	in	in	ADP
cana-2253	74	12	vitro	vitro	X
cana-2253	74	13	pharmacokinetic	pharmacokinetic	ADJ
cana-2253	74	14	parameters	parameter	NOUN
cana-2253	74	15	,	,	PUNCT
cana-2253	74	16	organometallic	organometallic	ADJ
cana-2253	74	17	content	content	NOUN
cana-2253	74	18	,	,	PUNCT
cana-2253	74	19	and	and	CCONJ
cana-2253	74	20	physicochemical	physicochemical	ADJ
cana-2253	74	21	properties	property	NOUN
cana-2253	74	22	.	.	PUNCT
cana-2253	75	1	we	we	PRON
cana-2253	75	2	used	use	VERB
cana-2253	75	3	fivefold	fivefold	ADJ
cana-2253	75	4	cross	cross	NOUN
cana-2253	75	5	-	-	NOUN
cana-2253	75	6	validation	validation	ADJ
cana-2253	75	7	to	to	PART
cana-2253	75	8	evaluate	evaluate	VERB
cana-2253	75	9	the	the	DET
cana-2253	75	10	model	model	NOUN
cana-2253	75	11	.	.	PUNCT
cana-2253	76	1	a	a	DET
cana-2253	76	2	support	support	NOUN
cana-2253	76	3	vector	vector	NOUN
cana-2253	76	4	regression	regression	NOUN
cana-2253	76	5	model	model	NOUN
cana-2253	76	6	predicted	predict	VERB
cana-2253	76	7	78	78	NUM
cana-2253	76	8	%	%	NOUN
cana-2253	76	9	of	of	ADP
cana-2253	76	10	exposure	exposure	NOUN
cana-2253	76	11	changes	change	NOUN
cana-2253	76	12	within	within	ADP
cana-2253	76	13	two	two	NUM
cana-2253	76	14	standard	standard	ADJ
cana-2253	76	15	deviations	deviation	NOUN
cana-2253	76	16	.	.	PUNCT
cana-2253	77	1	these	these	DET
cana-2253	77	2	findings	finding	NOUN
cana-2253	77	3	suggest	suggest	VERB
cana-2253	77	4	that	that	SCONJ
cana-2253	77	5	machine	machine	NOUN
cana-2253	77	6	learning	learn	VERB
cana-2253	77	7	algorithms	algorithm	NOUN
cana-2253	77	8	can	can	AUX
cana-2253	77	9	predict	predict	VERB
cana-2253	77	10	drug	drug	NOUN
cana-2253	77	11	exposure	exposure	NOUN
cana-2253	77	12	using	use	VERB
cana-2253	77	13	early	early	ADJ
cana-2253	77	14	drug	drug	NOUN
cana-2253	77	15	development	development	NOUN
cana-2253	77	16	data.lu	data.lu	NOUN
cana-2253	77	17	et	et	PROPN
cana-2253	77	18	al	al	PROPN
cana-2253	77	19	.	.	PUNCT
cana-2253	78	1	[	[	X
cana-2253	78	2	13	13	NUM
cana-2253	78	3	]	]	PUNCT
cana-2253	78	4	developed	develop	VERB
cana-2253	78	5	a	a	DET
cana-2253	78	6	statistical	statistical	ADJ
cana-2253	78	7	methodology	methodology	NOUN
cana-2253	78	8	to	to	PART
cana-2253	78	9	examine	examine	VERB
cana-2253	78	10	databases	database	NOUN
cana-2253	78	11	of	of	ADP
cana-2253	78	12	spontaneous	spontaneous	ADJ
cana-2253	78	13	adverse	adverse	ADJ
cana-2253	78	14	events	event	NOUN
cana-2253	78	15	,	,	PUNCT
cana-2253	78	16	drug	drug	NOUN
cana-2253	78	17	-	-	PUNCT
cana-2253	78	18	host	host	NOUN
cana-2253	78	19	interactions	interaction	NOUN
cana-2253	78	20	,	,	PUNCT
cana-2253	78	21	and	and	CCONJ
cana-2253	78	22	host	host	NOUN
cana-2253	78	23	-	-	PUNCT
cana-2253	78	24	specific	specific	ADJ
cana-2253	78	25	risk	risk	NOUN
cana-2253	78	26	alterations	alteration	NOUN
cana-2253	78	27	.	.	PUNCT
cana-2253	79	1	the	the	DET
cana-2253	79	2	framework	framework	NOUN
cana-2253	79	3	for	for	ADP
cana-2253	79	4	identifying	identify	VERB
cana-2253	79	5	safety	safety	NOUN
cana-2253	79	6	signals	signal	NOUN
cana-2253	79	7	combines	combine	VERB
cana-2253	79	8	several	several	ADJ
cana-2253	79	9	methods	method	NOUN
cana-2253	79	10	.	.	PUNCT
cana-2253	80	1	a	a	DET
cana-2253	80	2	regular	regular	ADJ
cana-2253	80	3	approximation	approximation	NOUN
cana-2253	80	4	test	test	NOUN
cana-2253	80	5	,	,	PUNCT
cana-2253	80	6	likelihood	likelihood	NOUN
cana-2253	80	7	ratio	ratio	NOUN
cana-2253	80	8	test	test	NOUN
cana-2253	80	9	,	,	PUNCT
cana-2253	80	10	and	and	CCONJ
cana-2253	80	11	two	two	NUM
cana-2253	80	12	subgroup	subgroup	NOUN
cana-2253	80	13	ratio	ratio	NOUN
cana-2253	80	14	tests	test	NOUN
cana-2253	80	15	comprised	comprise	VERB
cana-2253	80	16	our	our	PRON
cana-2253	80	17	four	four	NUM
cana-2253	80	18	-	-	ADJ
cana-2253	80	19	pronged	pronged	ADJ
cana-2253	80	20	method	method	NOUN
cana-2253	80	21	.	.	PUNCT
cana-2253	81	1	each	each	DET
cana-2253	81	2	test	test	NOUN
cana-2253	81	3	was	be	AUX
cana-2253	81	4	part	part	NOUN
cana-2253	81	5	of	of	ADP
cana-2253	81	6	the	the	DET
cana-2253	81	7	approach	approach	NOUN
cana-2253	81	8	.	.	PUNCT
cana-2253	82	1	we	we	PRON
cana-2253	82	2	examined	examine	VERB
cana-2253	82	3	the	the	DET
cana-2253	82	4	fda	fda	PROPN
cana-2253	82	5	's	's	PART
cana-2253	82	6	adverse	adverse	ADJ
cana-2253	82	7	event	event	NOUN
cana-2253	82	8	reporting	report	VERB
cana-2253	82	9	systems	system	NOUN
cana-2253	82	10	(	(	PUNCT
cana-2253	82	11	faers	faer	NOUN
cana-2253	82	12	)	)	PUNCT
cana-2253	82	13	to	to	PART
cana-2253	82	14	investigate	investigate	VERB
cana-2253	82	15	if	if	SCONJ
cana-2253	82	16	gender	gender	NOUN
cana-2253	82	17	and	and	CCONJ
cana-2253	82	18	age	age	NOUN
cana-2253	82	19	affected	affect	VERB
cana-2253	82	20	liver	liver	NOUN
cana-2253	82	21	event	event	NOUN
cana-2253	82	22	reporting	report	VERB
cana-2253	82	23	for	for	ADP
cana-2253	82	24	specific	specific	ADJ
cana-2253	82	25	therapy	therapy	NOUN
cana-2253	82	26	classes	class	NOUN
cana-2253	82	27	.	.	PUNCT
cana-2253	83	1	use	use	NOUN
cana-2253	83	2	of	of	ADP
cana-2253	83	3	data	datum	NOUN
cana-2253	83	4	achieved	achieve	VERB
cana-2253	83	5	this	this	PRON
cana-2253	83	6	.	.	PUNCT
cana-2253	84	1	the	the	DET
cana-2253	84	2	simulation	simulation	NOUN
cana-2253	84	3	showed	show	VERB
cana-2253	84	4	that	that	SCONJ
cana-2253	84	5	the	the	DET
cana-2253	84	6	normal	normal	ADJ
cana-2253	84	7	approximation	approximation	NOUN
cana-2253	84	8	and	and	CCONJ
cana-2253	84	9	likelihood	likelihood	NOUN
cana-2253	84	10	ratio	ratio	NOUN
cana-2253	84	11	can	can	AUX
cana-2253	84	12	reduce	reduce	VERB
cana-2253	84	13	family	family	NOUN
cana-2253	84	14	-	-	PUNCT
cana-2253	84	15	based	base	VERB
cana-2253	84	16	error	error	NOUN
cana-2253	84	17	rates	rate	NOUN
cana-2253	84	18	and	and	CCONJ
cana-2253	84	19	identify	identify	VERB
cana-2253	84	20	host	host	NOUN
cana-2253	84	21	-	-	PUNCT
cana-2253	84	22	related	relate	VERB
cana-2253	84	23	adverse	adverse	ADJ
cana-2253	84	24	medication	medication	NOUN
cana-2253	84	25	events	event	NOUN
cana-2253	84	26	.	.	PUNCT
cana-2253	85	1	3	3	X
cana-2253	85	2	.	.	X
cana-2253	85	3	system	system	NOUN
cana-2253	85	4	methodology	methodology	NOUN
cana-2253	85	5	3.1	3.1	NUM
cana-2253	85	6	overview	overview	NOUN
cana-2253	85	7	of	of	ADP
cana-2253	85	8	adaptive	adaptive	ADJ
cana-2253	85	9	neuro	neuro	NOUN
cana-2253	85	10	-	-	PUNCT
cana-2253	85	11	fuzzy	fuzzy	ADJ
cana-2253	85	12	inference	inference	NOUN
cana-2253	85	13	system	system	NOUN
cana-2253	85	14	(	(	PUNCT
cana-2253	85	15	anfis	anfis	ADJ
cana-2253	85	16	)	)	PUNCT
cana-2253	85	17	figure	figure	NOUN
cana-2253	85	18	1	1	NUM
cana-2253	85	19	depicts	depict	NOUN
cana-2253	85	20	the	the	DET
cana-2253	85	21	suggested	suggest	VERB
cana-2253	85	22	ddi	ddi	PROPN
cana-2253	85	23	risk	risk	NOUN
cana-2253	85	24	assessment	assessment	NOUN
cana-2253	85	25	and	and	CCONJ
cana-2253	85	26	prediction	prediction	NOUN
cana-2253	85	27	model	model	NOUN
cana-2253	85	28	utilizing	utilize	VERB
cana-2253	85	29	the	the	DET
cana-2253	85	30	anfis	anfis	PROPN
cana-2253	85	31	.	.	PUNCT
cana-2253	86	1	this	this	DET
cana-2253	86	2	model	model	NOUN
cana-2253	86	3	can	can	AUX
cana-2253	86	4	be	be	AUX
cana-2253	86	5	organized	organize	VERB
cana-2253	86	6	into	into	ADP
cana-2253	86	7	the	the	DET
cana-2253	86	8	following	follow	VERB
cana-2253	86	9	essential	essential	ADJ
cana-2253	86	10	parts	part	NOUN
cana-2253	86	11	.	.	PUNCT
cana-2253	87	1	fig	fig	NOUN
cana-2253	87	2	.	.	PUNCT
cana-2253	88	1	2	2	NUM
cana-2253	88	2	:	:	PUNCT
cana-2253	88	3	overview	overview	NOUN
cana-2253	88	4	of	of	ADP
cana-2253	88	5	adaptive	adaptive	ADJ
cana-2253	88	6	neuro	neuro	NOUN
cana-2253	88	7	-	-	PUNCT
cana-2253	88	8	fuzzy	fuzzy	ADJ
cana-2253	88	9	inference	inference	NOUN
cana-2253	88	10	system	system	NOUN
cana-2253	88	11	the	the	DET
cana-2253	88	12	input	input	NOUN
cana-2253	88	13	data	datum	NOUN
cana-2253	88	14	includes	include	VERB
cana-2253	88	15	drug	drug	NOUN
cana-2253	88	16	interaction	interaction	NOUN
cana-2253	88	17	reports	report	NOUN
cana-2253	88	18	with	with	ADP
cana-2253	88	19	dosage	dosage	NOUN
cana-2253	88	20	information	information	NOUN
cana-2253	88	21	,	,	PUNCT
cana-2253	88	22	age	age	NOUN
cana-2253	88	23	and	and	CCONJ
cana-2253	88	24	comorbidities	comorbiditie	NOUN
cana-2253	88	25	of	of	ADP
cana-2253	88	26	patients	patient	NOUN
cana-2253	88	27	,	,	PUNCT
cana-2253	88	28	drug	drug	NOUN
cana-2253	88	29	metabolism	metabolism	NOUN
cana-2253	88	30	,	,	PUNCT
cana-2253	88	31	therapeutic	therapeutic	ADJ
cana-2253	88	32	class	class	NOUN
cana-2253	88	33	contraindications	contraindication	NOUN
cana-2253	88	34	,	,	PUNCT
cana-2253	88	35	severity	severity	NOUN
cana-2253	88	36	,	,	PUNCT
cana-2253	88	37	and	and	CCONJ
cana-2253	88	38	drug	drug	NOUN
cana-2253	88	39	interactions	interaction	NOUN
cana-2253	88	40	.	.	PUNCT
cana-2253	89	1	finding	find	VERB
cana-2253	89	2	relevant	relevant	ADJ
cana-2253	89	3	features	feature	NOUN
cana-2253	89	4	reduces	reduce	VERB
cana-2253	89	5	complexity	complexity	NOUN
cana-2253	89	6	and	and	CCONJ
cana-2253	89	7	processing	processing	NOUN
cana-2253	89	8	time	time	NOUN
cana-2253	89	9	.	.	PUNCT
cana-2253	90	1	normalizing	normalize	VERB
cana-2253	90	2	data	datum	NOUN
cana-2253	90	3	ensures	ensure	VERB
cana-2253	90	4	neural	neural	ADJ
cana-2253	90	5	communications	communication	NOUN
cana-2253	90	6	on	on	ADP
cana-2253	90	7	applied	apply	VERB
cana-2253	90	8	nonlinear	nonlinear	ADJ
cana-2253	90	9	analysis	analysis	NOUN
cana-2253	90	10	issn	issn	NOUN
cana-2253	90	11	:	:	PUNCT
cana-2253	90	12	1074	1074	NUM
cana-2253	90	13	-	-	PUNCT
cana-2253	90	14	133x	133x	NUM
cana-2253	90	15	vol	vol	NOUN
cana-2253	90	16	32	32	NUM
cana-2253	90	17	no	no	NOUN
cana-2253	90	18	.	.	PUNCT
cana-2253	91	1	2s	2s	NUM
cana-2253	91	2	(	(	PUNCT
cana-2253	91	3	2025	2025	NUM
cana-2253	91	4	)	)	PUNCT
cana-2253	91	5	90	90	NUM
cana-2253	91	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2253	91	7	network	network	NOUN
cana-2253	91	8	processing	processing	NOUN
cana-2253	91	9	compatibility.features	compatibility.feature	NOUN
cana-2253	91	10	become	become	VERB
cana-2253	91	11	hazy	hazy	ADJ
cana-2253	91	12	linguistic	linguistic	ADJ
cana-2253	91	13	variables	variable	NOUN
cana-2253	91	14	.	.	PUNCT
cana-2253	92	1	so	so	ADV
cana-2253	92	2	,	,	PUNCT
cana-2253	92	3	the	the	DET
cana-2253	92	4	dosage	dosage	NOUN
cana-2253	92	5	can	can	AUX
cana-2253	92	6	be	be	AUX
cana-2253	92	7	low	low	ADJ
cana-2253	92	8	,	,	PUNCT
cana-2253	92	9	medium	medium	ADJ
cana-2253	92	10	,	,	PUNCT
cana-2253	92	11	or	or	CCONJ
cana-2253	92	12	high	high	ADJ
cana-2253	92	13	.	.	PUNCT
cana-2253	93	1	minor	minor	ADJ
cana-2253	93	2	,	,	PUNCT
cana-2253	93	3	moderate	moderate	ADJ
cana-2253	93	4	,	,	PUNCT
cana-2253	93	5	and	and	CCONJ
cana-2253	93	6	severe	severe	ADJ
cana-2253	93	7	health	health	NOUN
cana-2253	93	8	issues	issue	NOUN
cana-2253	93	9	exist	exist	VERB
cana-2253	93	10	.	.	PUNCT
cana-2253	94	1	fuzzy	fuzzy	ADJ
cana-2253	94	2	rules	rule	NOUN
cana-2253	94	3	represent	represent	VERB
cana-2253	94	4	input	input	NOUN
cana-2253	94	5	variable	variable	ADJ
cana-2253	94	6	interaction	interaction	NOUN
cana-2253	94	7	logic	logic	NOUN
cana-2253	94	8	.	.	PUNCT
cana-2253	95	1	the	the	DET
cana-2253	95	2	risk	risk	NOUN
cana-2253	95	3	is	be	AUX
cana-2253	95	4	high	high	ADJ
cana-2253	95	5	if	if	SCONJ
cana-2253	95	6	the	the	DET
cana-2253	95	7	dosage	dosage	NOUN
cana-2253	95	8	and	and	CCONJ
cana-2253	95	9	health	health	NOUN
cana-2253	95	10	concernsare	concernsare	VERB
cana-2253	95	11	severe	severe	ADV
cana-2253	95	12	.	.	PUNCT
cana-2253	96	1	the	the	DET
cana-2253	96	2	fuzzy	fuzzy	ADJ
cana-2253	96	3	membership	membership	NOUN
cana-2253	96	4	function	function	NOUN
cana-2253	96	5	membership	membership	NOUN
cana-2253	96	6	functions	function	NOUN
cana-2253	96	7	(	(	PUNCT
cana-2253	96	8	triangular	triangular	NOUN
cana-2253	96	9	)	)	PUNCT
cana-2253	96	10	fuzzily	fuzzily	ADV
cana-2253	96	11	feature	feature	VERB
cana-2253	96	12	for	for	ADP
cana-2253	96	13	nuanced	nuanced	ADJ
cana-2253	96	14	risk	risk	NOUN
cana-2253	96	15	classifications	classification	NOUN
cana-2253	96	16	.	.	PUNCT
cana-2253	97	1	the	the	DET
cana-2253	97	2	anfis	anfis	PROPN
cana-2253	97	3	framework	framework	NOUN
cana-2253	97	4	combines	combine	VERB
cana-2253	97	5	fuzzy	fuzzy	ADJ
cana-2253	97	6	inference	inference	NOUN
cana-2253	97	7	with	with	ADP
cana-2253	97	8	neural	neural	ADJ
cana-2253	97	9	network	network	NOUN
cana-2253	97	10	learning	learning	NOUN
cana-2253	97	11	.	.	PUNCT
cana-2253	98	1	the	the	DET
cana-2253	98	2	neural	neural	ADJ
cana-2253	98	3	network	network	NOUN
cana-2253	98	4	modifies	modify	VERB
cana-2253	98	5	fuzzy	fuzzy	ADJ
cana-2253	98	6	rules	rule	NOUN
cana-2253	98	7	and	and	CCONJ
cana-2253	98	8	membership	membership	NOUN
cana-2253	98	9	functions	function	NOUN
cana-2253	98	10	based	base	VERB
cana-2253	98	11	on	on	ADP
cana-2253	98	12	training	train	VERB
cana-2253	98	13	data.the	data.the	DET
cana-2253	98	14	training	training	NOUN
cana-2253	98	15	approach	approach	NOUN
cana-2253	98	16	uses	use	VERB
cana-2253	98	17	hybrid	hybrid	ADJ
cana-2253	98	18	learning	learning	NOUN
cana-2253	98	19	(	(	PUNCT
cana-2253	98	20	gradient	gradient	ADJ
cana-2253	98	21	descent	descent	NOUN
cana-2253	98	22	and	and	CCONJ
cana-2253	98	23	least	least	ADJ
cana-2253	98	24	-	-	PUNCT
cana-2253	98	25	squares	square	NOUN
cana-2253	98	26	estimation	estimation	NOUN
cana-2253	98	27	)	)	PUNCT
cana-2253	98	28	to	to	PART
cana-2253	98	29	reduce	reduce	VERB
cana-2253	98	30	prediction	prediction	NOUN
cana-2253	98	31	errors	error	NOUN
cana-2253	98	32	.	.	PUNCT
cana-2253	99	1	datasettrained	datasettraine	VERB
cana-2253	99	2	and	and	CCONJ
cana-2253	99	3	verified	verify	VERB
cana-2253	99	4	models	model	NOUN
cana-2253	99	5	minimize	minimize	VERB
cana-2253	99	6	mean	mean	VERB
cana-2253	99	7	squared	square	VERB
cana-2253	99	8	error	error	NOUN
cana-2253	99	9	(	(	PUNCT
cana-2253	99	10	mse	mse	NOUN
cana-2253	99	11	)	)	PUNCT
cana-2253	99	12	and	and	CCONJ
cana-2253	99	13	maximize	maximize	VERB
cana-2253	99	14	classification	classification	NOUN
cana-2253	99	15	precision.the	precision.the	DET
cana-2253	99	16	fuzzy	fuzzy	ADJ
cana-2253	99	17	output	output	NOUN
cana-2253	99	18	(	(	PUNCT
cana-2253	99	19	e.g.	e.g.	ADV
cana-2253	99	20	,	,	PUNCT
cana-2253	99	21	high	high	ADJ
cana-2253	99	22	,	,	PUNCT
cana-2253	99	23	medium	medium	ADJ
cana-2253	99	24	,	,	PUNCT
cana-2253	99	25	and	and	CCONJ
cana-2253	99	26	low	low	ADJ
cana-2253	99	27	risk	risk	NOUN
cana-2253	99	28	)	)	PUNCT
cana-2253	99	29	is	be	AUX
cana-2253	99	30	defuzzed	defuzze	VERB
cana-2253	99	31	into	into	ADP
cana-2253	99	32	a	a	DET
cana-2253	99	33	crisp	crisp	ADJ
cana-2253	99	34	value	value	NOUN
cana-2253	99	35	for	for	ADP
cana-2253	99	36	final	final	ADJ
cana-2253	99	37	decision	decision	NOUN
cana-2253	99	38	-	-	PUNCT
cana-2253	99	39	making	making	NOUN
cana-2253	99	40	.	.	PUNCT
cana-2253	100	1	the	the	DET
cana-2253	100	2	defuzzified	defuzzifie	VERB
cana-2253	100	3	output	output	NOUN
cana-2253	100	4	classifies	classify	VERB
cana-2253	100	5	ddi	ddi	PROPN
cana-2253	100	6	risk	risk	NOUN
cana-2253	100	7	as	as	ADP
cana-2253	100	8	safe	safe	ADJ
cana-2253	100	9	,	,	PUNCT
cana-2253	100	10	caution	caution	NOUN
cana-2253	100	11	,	,	PUNCT
cana-2253	100	12	or	or	CCONJ
cana-2253	100	13	dangerous.calculates	dangerous.calculate	VERB
cana-2253	100	14	the	the	DET
cana-2253	100	15	percentage	percentage	NOUN
cana-2253	100	16	of	of	ADP
cana-2253	100	17	high	high	ADJ
cana-2253	100	18	-	-	PUNCT
cana-2253	100	19	risk	risk	NOUN
cana-2253	100	20	interactions	interaction	NOUN
cana-2253	100	21	predicted	predict	VERB
cana-2253	100	22	accurately	accurately	ADV
cana-2253	100	23	.	.	PUNCT
cana-2253	101	1	testing	test	VERB
cana-2253	101	2	the	the	DET
cana-2253	101	3	model	model	NOUN
cana-2253	101	4	's	's	PART
cana-2253	101	5	negative	negative	ADJ
cana-2253	101	6	case	case	NOUN
cana-2253	101	7	detection	detection	NOUN
cana-2253	101	8	.	.	PUNCT
cana-2253	102	1	estimates	estimate	VERB
cana-2253	102	2	the	the	DET
cana-2253	102	3	model	model	NOUN
cana-2253	102	4	's	's	PART
cana-2253	102	5	prediction	prediction	NOUN
cana-2253	102	6	accuracy	accuracy	NOUN
cana-2253	102	7	by	by	ADP
cana-2253	102	8	averaging	average	VERB
cana-2253	102	9	the	the	DET
cana-2253	102	10	squared	square	VERB
cana-2253	102	11	differences	difference	NOUN
cana-2253	102	12	between	between	ADP
cana-2253	102	13	actual	actual	ADJ
cana-2253	102	14	and	and	CCONJ
cana-2253	102	15	anticipated	anticipate	VERB
cana-2253	102	16	values.the	values.the	PRON
cana-2253	102	17	system	system	NOUN
cana-2253	102	18	shows	show	VERB
cana-2253	102	19	how	how	SCONJ
cana-2253	102	20	fuzzy	fuzzy	ADJ
cana-2253	102	21	rules	rule	NOUN
cana-2253	102	22	classify	classify	VERB
cana-2253	102	23	ddi	ddi	ADJ
cana-2253	102	24	risks	risk	NOUN
cana-2253	102	25	in	in	ADP
cana-2253	102	26	an	an	DET
cana-2253	102	27	interpretable	interpretable	ADJ
cana-2253	102	28	decision	decision	NOUN
cana-2253	102	29	-	-	PUNCT
cana-2253	102	30	making	make	VERB
cana-2253	102	31	framework	framework	NOUN
cana-2253	102	32	.	.	PUNCT
cana-2253	103	1	pharmaceutical	pharmaceutical	NOUN
cana-2253	103	2	professionals	professional	NOUN
cana-2253	103	3	can	can	AUX
cana-2253	103	4	visualize	visualize	VERB
cana-2253	103	5	risk	risk	NOUN
cana-2253	103	6	levels	level	NOUN
cana-2253	103	7	for	for	ADP
cana-2253	103	8	better	well	ADJ
cana-2253	103	9	analysis.the	analysis.the	DET
cana-2253	103	10	suggested	suggest	VERB
cana-2253	103	11	approach	approach	NOUN
cana-2253	103	12	outperforms	outperform	VERB
cana-2253	103	13	current	current	ADJ
cana-2253	103	14	ddi	ddi	ADJ
cana-2253	103	15	risk	risk	NOUN
cana-2253	103	16	assessment	assessment	NOUN
cana-2253	103	17	methods	method	NOUN
cana-2253	103	18	when	when	SCONJ
cana-2253	103	19	verified	verify	VERB
cana-2253	103	20	against	against	ADP
cana-2253	103	21	benchmarks	benchmark	NOUN
cana-2253	103	22	.	.	PUNCT
cana-2253	104	1	clinical	clinical	ADJ
cana-2253	104	2	decision	decision	NOUN
cana-2253	104	3	support	support	NOUN
cana-2253	104	4	systems	system	NOUN
cana-2253	104	5	(	(	PUNCT
cana-2253	104	6	cdss	cdss	NOUN
cana-2253	104	7	)	)	PUNCT
cana-2253	104	8	can	can	AUX
cana-2253	104	9	use	use	VERB
cana-2253	104	10	the	the	DET
cana-2253	104	11	anfisbased	anfisbase	VERB
cana-2253	104	12	model	model	NOUN
cana-2253	104	13	to	to	PART
cana-2253	104	14	evaluate	evaluate	VERB
cana-2253	104	15	drug	drug	NOUN
cana-2253	104	16	interactions	interaction	NOUN
cana-2253	104	17	in	in	ADP
cana-2253	104	18	real	real	ADJ
cana-2253	104	19	-	-	PUNCT
cana-2253	104	20	time	time	NOUN
cana-2253	104	21	to	to	PART
cana-2253	104	22	improve	improve	VERB
cana-2253	104	23	patient	patient	ADJ
cana-2253	104	24	safety	safety	NOUN
cana-2253	104	25	and	and	CCONJ
cana-2253	104	26	reduce	reduce	VERB
cana-2253	104	27	adverse	adverse	ADJ
cana-2253	104	28	drug	drug	NOUN
cana-2253	104	29	reactions.this	reactions.this	PRON
cana-2253	104	30	structure	structure	NOUN
cana-2253	104	31	allows	allow	VERB
cana-2253	104	32	the	the	DET
cana-2253	104	33	anfis	anfis	PROPN
cana-2253	104	34	-	-	PUNCT
cana-2253	104	35	based	base	VERB
cana-2253	104	36	system	system	NOUN
cana-2253	104	37	to	to	PART
cana-2253	104	38	handle	handle	VERB
cana-2253	104	39	complicated	complicated	ADJ
cana-2253	104	40	and	and	CCONJ
cana-2253	104	41	dynamic	dynamic	ADJ
cana-2253	104	42	drug	drug	NOUN
cana-2253	104	43	-	-	PUNCT
cana-2253	104	44	drug	drug	NOUN
cana-2253	104	45	interactions	interaction	NOUN
cana-2253	104	46	,	,	PUNCT
cana-2253	104	47	making	make	VERB
cana-2253	104	48	it	it	PRON
cana-2253	104	49	a	a	DET
cana-2253	104	50	reliable	reliable	ADJ
cana-2253	104	51	medication	medication	NOUN
cana-2253	104	52	management	management	NOUN
cana-2253	104	53	solution	solution	NOUN
cana-2253	104	54	.	.	PUNCT
cana-2253	105	1	3.2	3.2	NUM
cana-2253	105	2	working	work	VERB
cana-2253	105	3	of	of	ADP
cana-2253	105	4	anfis	anfis	PROPN
cana-2253	105	5	a	a	DET
cana-2253	105	6	well	well	ADV
cana-2253	105	7	-	-	PUNCT
cana-2253	105	8	selected	select	VERB
cana-2253	105	9	model	model	NOUN
cana-2253	105	10	,	,	PUNCT
cana-2253	105	11	the	the	DET
cana-2253	105	12	anfis	anfis	PROPN
cana-2253	105	13	,	,	PUNCT
cana-2253	105	14	can	can	AUX
cana-2253	105	15	help	help	VERB
cana-2253	105	16	with	with	ADP
cana-2253	105	17	risk	risk	NOUN
cana-2253	105	18	and	and	CCONJ
cana-2253	105	19	uncertainty	uncertainty	NOUN
cana-2253	105	20	management	management	NOUN
cana-2253	105	21	.	.	PUNCT
cana-2253	106	1	this	this	DET
cana-2253	106	2	study	study	NOUN
cana-2253	106	3	has	have	VERB
cana-2253	106	4	two	two	NUM
cana-2253	106	5	objectives	objective	NOUN
cana-2253	106	6	.	.	PUNCT
cana-2253	107	1	first	first	ADV
cana-2253	107	2	,	,	PUNCT
cana-2253	107	3	let	let	VERB
cana-2253	107	4	's	us	PRON
cana-2253	107	5	examine	examine	VERB
cana-2253	107	6	the	the	DET
cana-2253	107	7	current	current	ADJ
cana-2253	107	8	state	state	NOUN
cana-2253	107	9	of	of	ADP
cana-2253	107	10	flow	flow	NOUN
cana-2253	107	11	risk	risk	NOUN
cana-2253	107	12	estimation	estimation	NOUN
cana-2253	107	13	.	.	PUNCT
cana-2253	108	1	second	second	ADJ
cana-2253	108	2	,	,	PUNCT
cana-2253	108	3	intelligent	intelligent	ADJ
cana-2253	108	4	risk	risk	NOUN
cana-2253	108	5	assessment	assessment	NOUN
cana-2253	108	6	and	and	CCONJ
cana-2253	108	7	management	management	NOUN
cana-2253	108	8	measures	measure	NOUN
cana-2253	108	9	,	,	PUNCT
cana-2253	108	10	or	or	CCONJ
cana-2253	108	11	indicators	indicator	NOUN
cana-2253	108	12	,	,	PUNCT
cana-2253	108	13	should	should	AUX
cana-2253	108	14	be	be	AUX
cana-2253	108	15	established	establish	VERB
cana-2253	108	16	to	to	PART
cana-2253	108	17	comprehend	comprehend	VERB
cana-2253	108	18	railway	railway	NOUN
cana-2253	108	19	station	station	NOUN
cana-2253	108	20	real	real	ADJ
cana-2253	108	21	-	-	PUNCT
cana-2253	108	22	time	time	NOUN
cana-2253	108	23	safety	safety	NOUN
cana-2253	108	24	better	well	ADV
cana-2253	108	25	.	.	PUNCT
cana-2253	109	1	an	an	DET
cana-2253	109	2	artificial	artificial	ADJ
cana-2253	109	3	neural	neural	ADJ
cana-2253	109	4	network	network	NOUN
cana-2253	109	5	(	(	PUNCT
cana-2253	109	6	ann	ann	PROPN
cana-2253	109	7	)	)	PUNCT
cana-2253	109	8	plus	plus	CCONJ
cana-2253	109	9	a	a	DET
cana-2253	109	10	formal	formal	ADJ
cana-2253	109	11	reasoning	reasoning	NOUN
cana-2253	109	12	system	system	NOUN
cana-2253	109	13	(	(	PUNCT
cana-2253	109	14	fis	fis	PROPN
cana-2253	109	15	)	)	PUNCT
cana-2253	109	16	constitute	constitute	VERB
cana-2253	109	17	an	an	DET
cana-2253	109	18	ann	ann	PROPN
cana-2253	109	19	-	-	PUNCT
cana-2253	109	20	fis	fis	PROPN
cana-2253	109	21	.	.	PUNCT
cana-2253	110	1	mixing	mix	VERB
cana-2253	110	2	the	the	DET
cana-2253	110	3	financial	financial	ADJ
cana-2253	110	4	information	information	NOUN
cana-2253	110	5	system	system	NOUN
cana-2253	110	6	(	(	PUNCT
cana-2253	110	7	fis	fis	PROPN
cana-2253	110	8	)	)	PUNCT
cana-2253	110	9	with	with	ADP
cana-2253	110	10	a	a	DET
cana-2253	110	11	flexible	flexible	ADJ
cana-2253	110	12	network	network	NOUN
cana-2253	110	13	structure	structure	NOUN
cana-2253	110	14	created	create	VERB
cana-2253	110	15	the	the	DET
cana-2253	110	16	anfis	anfis	PROPN
cana-2253	110	17	.	.	PUNCT
cana-2253	111	1	the	the	DET
cana-2253	111	2	anfis	anfis	PROPN
cana-2253	111	3	model	model	NOUN
cana-2253	111	4	is	be	AUX
cana-2253	111	5	gaining	gain	VERB
cana-2253	111	6	popularity	popularity	NOUN
cana-2253	111	7	among	among	ADP
cana-2253	111	8	technical	technical	ADJ
cana-2253	111	9	and	and	CCONJ
cana-2253	111	10	scientific	scientific	ADJ
cana-2253	111	11	academics	academic	NOUN
cana-2253	111	12	due	due	ADP
cana-2253	111	13	to	to	ADP
cana-2253	111	14	its	its	PRON
cana-2253	111	15	remarkable	remarkable	ADJ
cana-2253	111	16	learning	learning	NOUN
cana-2253	111	17	and	and	CCONJ
cana-2253	111	18	reasoning	reasoning	NOUN
cana-2253	111	19	abilities	ability	NOUN
cana-2253	111	20	.	.	PUNCT
cana-2253	112	1	concerns	concern	NOUN
cana-2253	112	2	about	about	ADP
cana-2253	112	3	parameter	parameter	NOUN
cana-2253	112	4	identification	identification	NOUN
cana-2253	112	5	use	use	NOUN
cana-2253	112	6	anfis	anfi	VERB
cana-2253	112	7	.	.	PUNCT
cana-2253	113	1	its	its	PRON
cana-2253	113	2	hybridlearning	hybridlearne	VERB
cana-2253	113	3	rule	rule	NOUN
cana-2253	113	4	uses	use	VERB
cana-2253	113	5	leastsquares	leastsquare	NOUN
cana-2253	113	6	,	,	PUNCT
cana-2253	113	7	gradient	gradient	ADJ
cana-2253	113	8	descent	descent	NOUN
cana-2253	113	9	,	,	PUNCT
cana-2253	113	10	and	and	CCONJ
cana-2253	113	11	backpropagation	backpropagation	NOUN
cana-2253	113	12	to	to	PART
cana-2253	113	13	achieve	achieve	VERB
cana-2253	113	14	this	this	PRON
cana-2253	113	15	.	.	PUNCT
cana-2253	114	1	figure	figure	NOUN
cana-2253	114	2	3	3	NUM
cana-2253	114	3	shows	show	VERB
cana-2253	114	4	this	this	DET
cana-2253	114	5	multilayer	multilayer	ADJ
cana-2253	114	6	feed	feed	NOUN
cana-2253	114	7	-	-	PUNCT
cana-2253	114	8	forward	forward	NOUN
cana-2253	114	9	network	network	NOUN
cana-2253	114	10	's	's	PART
cana-2253	114	11	input	input	NOUN
cana-2253	114	12	-	-	PUNCT
cana-2253	114	13	output	output	NOUN
cana-2253	114	14	mapping	mapping	NOUN
cana-2253	114	15	using	use	VERB
cana-2253	114	16	an	an	DET
cana-2253	114	17	artificial	artificial	ADJ
cana-2253	114	18	neural	neural	ADJ
cana-2253	114	19	network	network	NOUN
cana-2253	114	20	and	and	CCONJ
cana-2253	114	21	fuzzy	fuzzy	ADJ
cana-2253	114	22	logic	logic	NOUN
cana-2253	114	23	.	.	PUNCT
cana-2253	115	1	so	so	ADV
cana-2253	115	2	,	,	PUNCT
cana-2253	115	3	it	it	PRON
cana-2253	115	4	's	be	AUX
cana-2253	115	5	an	an	DET
cana-2253	115	6	fls	fls	NOUN
cana-2253	115	7	embedded	embed	VERB
cana-2253	115	8	in	in	ADP
cana-2253	115	9	an	an	DET
cana-2253	115	10	adaptive	adaptive	ADJ
cana-2253	115	11	ann	ann	PROPN
cana-2253	115	12	.	.	PUNCT
cana-2253	116	1	anfis	anfis	PROPN
cana-2253	116	2	's	's	PART
cana-2253	116	3	capabilities	capability	NOUN
cana-2253	116	4	allow	allow	VERB
cana-2253	116	5	it	it	PRON
cana-2253	116	6	to	to	PART
cana-2253	116	7	build	build	VERB
cana-2253	116	8	if	if	SCONJ
cana-2253	116	9	/	/	SYM
cana-2253	116	10	then	then	ADV
cana-2253	116	11	network	network	NOUN
cana-2253	116	12	implementations	implementation	NOUN
cana-2253	116	13	.	.	PUNCT
cana-2253	117	1	fig	fig	NOUN
cana-2253	117	2	.	.	PUNCT
cana-2253	118	1	3	3	NUM
cana-2253	118	2	:	:	PUNCT
cana-2253	118	3	working	work	VERB
cana-2253	118	4	of	of	ADP
cana-2253	118	5	anfis	anfi	VERB
cana-2253	118	6	communications	communication	NOUN
cana-2253	118	7	on	on	ADP
cana-2253	118	8	applied	apply	VERB
cana-2253	118	9	nonlinear	nonlinear	ADJ
cana-2253	118	10	analysis	analysis	NOUN
cana-2253	118	11	issn	issn	NOUN
cana-2253	118	12	:	:	PUNCT
cana-2253	118	13	1074	1074	NUM
cana-2253	118	14	-	-	PUNCT
cana-2253	118	15	133x	133x	NUM
cana-2253	118	16	vol	vol	NOUN
cana-2253	118	17	32	32	NUM
cana-2253	118	18	no	no	NOUN
cana-2253	118	19	.	.	PUNCT
cana-2253	119	1	2s	2s	NUM
cana-2253	119	2	(	(	PUNCT
cana-2253	119	3	2025	2025	NUM
cana-2253	119	4	)	)	PUNCT
cana-2253	119	5	91	91	NUM
cana-2253	120	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2253	120	2	anfis	anfis	PROPN
cana-2253	120	3	model	model	NOUN
cana-2253	120	4	for	for	ADP
cana-2253	120	5	drug	drug	NOUN
cana-2253	120	6	-	-	PUNCT
cana-2253	120	7	drug	drug	NOUN
cana-2253	120	8	interaction	interaction	NOUN
cana-2253	120	9	(	(	PUNCT
cana-2253	120	10	ddi	ddi	ADJ
cana-2253	120	11	)	)	PUNCT
cana-2253	120	12	risk	risk	NOUN
cana-2253	120	13	assessment	assessment	NOUN
cana-2253	120	14	manages	manage	VERB
cana-2253	120	15	pharmaceutical	pharmaceutical	ADJ
cana-2253	120	16	interaction	interaction	NOUN
cana-2253	120	17	complexity	complexity	NOUN
cana-2253	120	18	in	in	ADP
cana-2253	120	19	a	a	DET
cana-2253	120	20	hybrid	hybrid	ADJ
cana-2253	120	21	framework	framework	NOUN
cana-2253	120	22	.	.	PUNCT
cana-2253	121	1	combining	combine	VERB
cana-2253	121	2	fuzzy	fuzzy	ADJ
cana-2253	121	3	logic	logic	NOUN
cana-2253	121	4	's	's	PART
cana-2253	121	5	interpretability	interpretability	NOUN
cana-2253	121	6	with	with	ADP
cana-2253	121	7	neural	neural	ADJ
cana-2253	121	8	networks	network	NOUN
cana-2253	121	9	'	'	PART
cana-2253	121	10	learning	learning	NOUN
cana-2253	121	11	capacities	capacity	NOUN
cana-2253	121	12	does	do	VERB
cana-2253	121	13	this	this	PRON
cana-2253	121	14	.	.	PUNCT
cana-2253	122	1	the	the	DET
cana-2253	122	2	model	model	NOUN
cana-2253	122	3	predicts	predict	VERB
cana-2253	122	4	medication	medication	NOUN
cana-2253	122	5	interactions	interaction	NOUN
cana-2253	122	6	using	use	VERB
cana-2253	122	7	several	several	ADJ
cana-2253	122	8	essential	essential	ADJ
cana-2253	122	9	input	input	NOUN
cana-2253	122	10	variables	variable	NOUN
cana-2253	122	11	,	,	PUNCT
cana-2253	122	12	such	such	ADJ
cana-2253	122	13	as	as	ADP
cana-2253	122	14	dosage	dosage	NOUN
cana-2253	122	15	and	and	CCONJ
cana-2253	122	16	therapeutic	therapeutic	ADJ
cana-2253	122	17	classification	classification	NOUN
cana-2253	122	18	,	,	PUNCT
cana-2253	122	19	demographic	demographic	ADJ
cana-2253	122	20	information	information	NOUN
cana-2253	122	21	like	like	ADP
cana-2253	122	22	age	age	NOUN
cana-2253	122	23	and	and	CCONJ
cana-2253	122	24	preexisting	preexist	VERB
cana-2253	122	25	medical	medical	ADJ
cana-2253	122	26	conditions	condition	NOUN
cana-2253	122	27	and	and	CCONJ
cana-2253	122	28	pharmacological	pharmacological	ADJ
cana-2253	122	29	characteristics	characteristic	NOUN
cana-2253	122	30	like	like	ADP
cana-2253	122	31	medication	medication	NOUN
cana-2253	122	32	metabolism	metabolism	NOUN
cana-2253	122	33	and	and	CCONJ
cana-2253	122	34	contraindications	contraindication	NOUN
cana-2253	122	35	.	.	PUNCT
cana-2253	123	1	convert	convert	VERB
cana-2253	123	2	these	these	DET
cana-2253	123	3	input	input	NOUN
cana-2253	123	4	values	value	NOUN
cana-2253	123	5	into	into	ADP
cana-2253	123	6	fuzzy	fuzzy	ADJ
cana-2253	123	7	language	language	NOUN
cana-2253	123	8	phrases	phrase	NOUN
cana-2253	123	9	(	(	PUNCT
cana-2253	123	10	e.g.	e.g.	ADV
cana-2253	123	11	,	,	PUNCT
cana-2253	123	12	low	low	ADJ
cana-2253	123	13	,	,	PUNCT
cana-2253	123	14	medium	medium	ADJ
cana-2253	123	15	,	,	PUNCT
cana-2253	123	16	high	high	ADJ
cana-2253	123	17	for	for	ADP
cana-2253	123	18	dosage	dosage	NOUN
cana-2253	123	19	levels	level	NOUN
cana-2253	123	20	)	)	PUNCT
cana-2253	123	21	to	to	PART
cana-2253	123	22	better	well	ADV
cana-2253	123	23	understand	understand	VERB
cana-2253	123	24	interaction	interaction	NOUN
cana-2253	123	25	possibilities	possibility	NOUN
cana-2253	123	26	.	.	PUNCT
cana-2253	124	1	one	one	NUM
cana-2253	124	2	imprecise	imprecise	ADJ
cana-2253	124	3	guideline	guideline	NOUN
cana-2253	124	4	that	that	PRON
cana-2253	124	5	describes	describe	VERB
cana-2253	124	6	these	these	DET
cana-2253	124	7	elements	element	NOUN
cana-2253	124	8	is	be	AUX
cana-2253	124	9	that	that	SCONJ
cana-2253	124	10	the	the	DET
cana-2253	124	11	risk	risk	NOUN
cana-2253	124	12	is	be	AUX
cana-2253	124	13	significant	significant	ADJ
cana-2253	124	14	if	if	SCONJ
cana-2253	124	15	the	the	DET
cana-2253	124	16	dosage	dosage	NOUN
cana-2253	124	17	is	be	AUX
cana-2253	124	18	high	high	ADJ
cana-2253	124	19	and	and	CCONJ
cana-2253	124	20	the	the	DET
cana-2253	124	21	patient	patient	NOUN
cana-2253	124	22	's	's	PART
cana-2253	124	23	health	health	NOUN
cana-2253	124	24	issue	issue	NOUN
cana-2253	124	25	is	be	AUX
cana-2253	124	26	severe	severe	ADJ
cana-2253	124	27	.	.	PUNCT
cana-2253	125	1	\since	\since	NOUN
cana-2253	125	2	these	these	DET
cana-2253	125	3	fuzzy	fuzzy	ADJ
cana-2253	125	4	rules	rule	NOUN
cana-2253	125	5	compose	compose	VERB
cana-2253	125	6	the	the	DET
cana-2253	125	7	fuzzy	fuzzy	ADJ
cana-2253	125	8	inference	inference	NOUN
cana-2253	125	9	system	system	NOUN
cana-2253	125	10	,	,	PUNCT
cana-2253	125	11	the	the	DET
cana-2253	125	12	model	model	NOUN
cana-2253	125	13	can	can	AUX
cana-2253	125	14	uniformly	uniformly	ADV
cana-2253	125	15	and	and	CCONJ
cana-2253	125	16	unambiguously	unambiguously	ADV
cana-2253	125	17	assess	assess	VERB
cana-2253	125	18	risk	risk	NOUN
cana-2253	125	19	levels	level	NOUN
cana-2253	125	20	.	.	PUNCT
cana-2253	126	1	the	the	DET
cana-2253	126	2	neural	neural	ADJ
cana-2253	126	3	network	network	NOUN
cana-2253	126	4	component	component	NOUN
cana-2253	126	5	of	of	ADP
cana-2253	126	6	the	the	DET
cana-2253	126	7	anfis	anfis	ADJ
cana-2253	126	8	model	model	NOUN
cana-2253	126	9	optimizes	optimize	VERB
cana-2253	126	10	fuzzy	fuzzy	ADJ
cana-2253	126	11	membership	membership	NOUN
cana-2253	126	12	functions	function	NOUN
cana-2253	126	13	and	and	CCONJ
cana-2253	126	14	rules	rule	NOUN
cana-2253	126	15	during	during	ADP
cana-2253	126	16	training	training	NOUN
cana-2253	126	17	.	.	PUNCT
cana-2253	127	1	the	the	DET
cana-2253	127	2	neural	neural	ADJ
cana-2253	127	3	network	network	NOUN
cana-2253	127	4	uses	use	VERB
cana-2253	127	5	gradient	gradient	ADJ
cana-2253	127	6	descent	descent	NOUN
cana-2253	127	7	and	and	CCONJ
cana-2253	127	8	least	least	ADJ
cana-2253	127	9	-	-	PUNCT
cana-2253	127	10	squares	square	NOUN
cana-2253	127	11	estimation	estimation	NOUN
cana-2253	127	12	to	to	PART
cana-2253	127	13	minimize	minimize	VERB
cana-2253	127	14	prediction	prediction	NOUN
cana-2253	127	15	error	error	NOUN
cana-2253	127	16	and	and	CCONJ
cana-2253	127	17	maximize	maximize	VERB
cana-2253	127	18	risk	risk	NOUN
cana-2253	127	19	categorization	categorization	NOUN
cana-2253	127	20	accuracy	accuracy	NOUN
cana-2253	127	21	.	.	PUNCT
cana-2253	128	1	the	the	DET
cana-2253	128	2	model	model	NOUN
cana-2253	128	3	adjusts	adjust	VERB
cana-2253	128	4	fuzzy	fuzzy	ADJ
cana-2253	128	5	inference	inference	NOUN
cana-2253	128	6	system	system	NOUN
cana-2253	128	7	settings	setting	NOUN
cana-2253	128	8	based	base	VERB
cana-2253	128	9	on	on	ADP
cana-2253	128	10	training	training	NOUN
cana-2253	128	11	results	result	NOUN
cana-2253	128	12	.	.	PUNCT
cana-2253	129	1	these	these	DET
cana-2253	129	2	changes	change	NOUN
cana-2253	129	3	help	help	VERB
cana-2253	129	4	the	the	DET
cana-2253	129	5	model	model	NOUN
cana-2253	129	6	understand	understand	VERB
cana-2253	129	7	complex	complex	ADJ
cana-2253	129	8	drug	drug	NOUN
cana-2253	129	9	interactions	interaction	NOUN
cana-2253	129	10	on	on	ADP
cana-2253	129	11	a	a	DET
cana-2253	129	12	large	large	ADJ
cana-2253	129	13	dataset	dataset	NOUN
cana-2253	129	14	of	of	ADP
cana-2253	129	15	known	know	VERB
cana-2253	129	16	ddis	ddi	NOUN
cana-2253	129	17	.	.	PUNCT
cana-2253	130	1	this	this	DET
cana-2253	130	2	training	training	NOUN
cana-2253	130	3	approach	approach	NOUN
cana-2253	130	4	produces	produce	VERB
cana-2253	130	5	a	a	DET
cana-2253	130	6	successful	successful	ADJ
cana-2253	130	7	adaptive	adaptive	ADJ
cana-2253	130	8	system	system	NOUN
cana-2253	130	9	for	for	ADP
cana-2253	130	10	real	real	ADJ
cana-2253	130	11	-	-	PUNCT
cana-2253	130	12	time	time	NOUN
cana-2253	130	13	applications	application	NOUN
cana-2253	130	14	since	since	SCONJ
cana-2253	130	15	it	it	PRON
cana-2253	130	16	can	can	AUX
cana-2253	130	17	generalize	generalize	VERB
cana-2253	130	18	to	to	ADP
cana-2253	130	19	novel	novel	NOUN
cana-2253	130	20	and	and	CCONJ
cana-2253	130	21	unknown	unknown	ADJ
cana-2253	130	22	drug	drug	NOUN
cana-2253	130	23	interactions	interaction	NOUN
cana-2253	130	24	.	.	PUNCT
cana-2253	131	1	the	the	DET
cana-2253	131	2	defuzzification	defuzzification	NOUN
cana-2253	131	3	module	module	NOUN
cana-2253	131	4	converts	convert	NOUN
cana-2253	131	5	training	training	NOUN
cana-2253	131	6	outputs	output	NOUN
cana-2253	131	7	into	into	ADP
cana-2253	131	8	precise	precise	ADJ
cana-2253	131	9	risk	risk	NOUN
cana-2253	131	10	scores	score	NOUN
cana-2253	131	11	.	.	PUNCT
cana-2253	132	1	thus	thus	ADV
cana-2253	132	2	,	,	PUNCT
cana-2253	132	3	classifying	classify	VERB
cana-2253	132	4	interaction	interaction	NOUN
cana-2253	132	5	hazards	hazard	NOUN
cana-2253	132	6	as	as	ADP
cana-2253	132	7	low	low	ADJ
cana-2253	132	8	,	,	PUNCT
cana-2253	132	9	medium	medium	ADJ
cana-2253	132	10	,	,	PUNCT
cana-2253	132	11	or	or	CCONJ
cana-2253	132	12	high	high	ADJ
cana-2253	132	13	is	be	AUX
cana-2253	132	14	easier	easy	ADJ
cana-2253	132	15	.	.	PUNCT
cana-2253	133	1	our	our	PRON
cana-2253	133	2	decision	decision	NOUN
cana-2253	133	3	-	-	PUNCT
cana-2253	133	4	making	make	VERB
cana-2253	133	5	system	system	NOUN
cana-2253	133	6	exceeds	exceed	VERB
cana-2253	133	7	cutting	cut	VERB
cana-2253	133	8	-	-	PUNCT
cana-2253	133	9	edge	edge	NOUN
cana-2253	133	10	risk	risk	NOUN
cana-2253	133	11	assessment	assessment	NOUN
cana-2253	133	12	methods	method	NOUN
cana-2253	133	13	in	in	ADP
cana-2253	133	14	industry	industry	NOUN
cana-2253	133	15	-	-	PUNCT
cana-2253	133	16	standard	standard	ADJ
cana-2253	133	17	performance	performance	NOUN
cana-2253	133	18	parameters	parameter	NOUN
cana-2253	133	19	like	like	INTJ
cana-2253	133	20	mean	mean	VERB
cana-2253	133	21	squared	square	VERB
cana-2253	133	22	error	error	NOUN
cana-2253	133	23	(	(	PUNCT
cana-2253	133	24	mse	mse	NOUN
cana-2253	133	25	)	)	PUNCT
cana-2253	133	26	,	,	PUNCT
cana-2253	133	27	precision	precision	NOUN
cana-2253	133	28	,	,	PUNCT
cana-2253	133	29	specificity	specificity	NOUN
cana-2253	133	30	,	,	PUNCT
cana-2253	133	31	and	and	CCONJ
cana-2253	133	32	sensitivity	sensitivity	NOUN
cana-2253	133	33	.	.	PUNCT
cana-2253	134	1	due	due	ADP
cana-2253	134	2	to	to	ADP
cana-2253	134	3	its	its	PRON
cana-2253	134	4	comprehensiveness	comprehensiveness	NOUN
cana-2253	134	5	,	,	PUNCT
cana-2253	134	6	the	the	DET
cana-2253	134	7	ddi	ddi	PROPN
cana-2253	134	8	risk	risk	NOUN
cana-2253	134	9	assessment	assessment	NOUN
cana-2253	134	10	tool	tool	NOUN
cana-2253	134	11	is	be	AUX
cana-2253	134	12	reliable	reliable	ADJ
cana-2253	134	13	and	and	CCONJ
cana-2253	134	14	accurate	accurate	ADJ
cana-2253	134	15	throughout	throughout	ADP
cana-2253	134	16	drug	drug	NOUN
cana-2253	134	17	management	management	NOUN
cana-2253	134	18	.	.	PUNCT
cana-2253	135	1	it	it	PRON
cana-2253	135	2	aids	aid	VERB
cana-2253	135	3	clinical	clinical	ADJ
cana-2253	135	4	decision	decision	NOUN
cana-2253	135	5	-	-	PUNCT
cana-2253	135	6	making	making	NOUN
cana-2253	135	7	and	and	CCONJ
cana-2253	135	8	reduces	reduce	VERB
cana-2253	135	9	hazardous	hazardous	ADJ
cana-2253	135	10	drug	drug	NOUN
cana-2253	135	11	interactions	interaction	NOUN
cana-2253	135	12	.	.	PUNCT
cana-2253	136	1	users	user	NOUN
cana-2253	136	2	can	can	AUX
cana-2253	136	3	understand	understand	VERB
cana-2253	136	4	fuzzy	fuzzy	ADJ
cana-2253	136	5	rule	rule	NOUN
cana-2253	136	6	-	-	PUNCT
cana-2253	136	7	based	base	VERB
cana-2253	136	8	ddi	ddi	PROPN
cana-2253	136	9	risk	risk	NOUN
cana-2253	136	10	classifications	classification	NOUN
cana-2253	136	11	thanks	thank	NOUN
cana-2253	136	12	to	to	ADP
cana-2253	136	13	the	the	DET
cana-2253	136	14	system	system	NOUN
cana-2253	136	15	's	's	PART
cana-2253	136	16	interpretable	interpretable	ADJ
cana-2253	136	17	decisionmaking	decisionmake	VERB
cana-2253	136	18	framework	framework	NOUN
cana-2253	136	19	.	.	PUNCT
cana-2253	137	1	visualizing	visualize	VERB
cana-2253	137	2	risk	risk	NOUN
cana-2253	137	3	levels	level	NOUN
cana-2253	137	4	may	may	AUX
cana-2253	137	5	help	help	VERB
cana-2253	137	6	pharmaceutical	pharmaceutical	NOUN
cana-2253	137	7	professionals	professional	NOUN
cana-2253	137	8	understand	understand	VERB
cana-2253	137	9	and	and	CCONJ
cana-2253	137	10	analyze	analyze	VERB
cana-2253	137	11	data	datum	NOUN
cana-2253	137	12	.	.	PUNCT
cana-2253	138	1	4	4	X
cana-2253	138	2	.	.	X
cana-2253	138	3	experimental	experimental	ADJ
cana-2253	138	4	results	result	NOUN
cana-2253	138	5	the	the	DET
cana-2253	138	6	proposed	propose	VERB
cana-2253	138	7	model	model	NOUN
cana-2253	138	8	utilizes	utilize	VERB
cana-2253	138	9	the	the	DET
cana-2253	138	10	comprehensive	comprehensive	ADJ
cana-2253	138	11	ddi	ddi	PROPN
cana-2253	138	12	information	information	NOUN
cana-2253	138	13	(	(	PUNCT
cana-2253	138	14	https://paperswithcode.com/dataset/ddi	https://paperswithcode.com/dataset/ddi	PROPN
cana-2253	138	15	)	)	PUNCT
cana-2253	138	16	.	.	PUNCT
cana-2253	139	1	datasets	dataset	NOUN
cana-2253	139	2	that	that	PRON
cana-2253	139	3	provide	provide	VERB
cana-2253	139	4	extensive	extensive	ADJ
cana-2253	139	5	information	information	NOUN
cana-2253	139	6	about	about	ADP
cana-2253	139	7	pharmaceutical	pharmaceutical	NOUN
cana-2253	139	8	interactions	interaction	NOUN
cana-2253	139	9	,	,	PUNCT
cana-2253	139	10	patient	patient	ADJ
cana-2253	139	11	health	health	NOUN
cana-2253	139	12	records	record	NOUN
cana-2253	139	13	,	,	PUNCT
cana-2253	139	14	and	and	CCONJ
cana-2253	139	15	pharmacological	pharmacological	ADJ
cana-2253	139	16	characteristics	characteristic	NOUN
cana-2253	139	17	are	be	AUX
cana-2253	139	18	required	require	VERB
cana-2253	139	19	by	by	ADP
cana-2253	139	20	the	the	DET
cana-2253	139	21	proposed	propose	VERB
cana-2253	139	22	anfis	anfis	PROPN
cana-2253	139	23	model	model	NOUN
cana-2253	139	24	in	in	ADP
cana-2253	139	25	order	order	NOUN
cana-2253	139	26	to	to	PART
cana-2253	139	27	estimate	estimate	VERB
cana-2253	139	28	the	the	DET
cana-2253	139	29	likelihood	likelihood	NOUN
cana-2253	139	30	of	of	ADP
cana-2253	139	31	drug	drug	NOUN
cana-2253	139	32	-	-	PUNCT
cana-2253	139	33	drug	drug	NOUN
cana-2253	139	34	interactions	interaction	NOUN
cana-2253	139	35	(	(	PUNCT
cana-2253	139	36	ddis	ddis	NOUN
cana-2253	139	37	)	)	PUNCT
cana-2253	139	38	.	.	PUNCT
cana-2253	140	1	it	it	PRON
cana-2253	140	2	is	be	AUX
cana-2253	140	3	important	important	ADJ
cana-2253	140	4	for	for	ADP
cana-2253	140	5	a	a	DET
cana-2253	140	6	high	high	ADJ
cana-2253	140	7	-	-	PUNCT
cana-2253	140	8	quality	quality	NOUN
cana-2253	140	9	dataset	dataset	NOUN
cana-2253	140	10	to	to	PART
cana-2253	140	11	have	have	VERB
cana-2253	140	12	various	various	ADJ
cana-2253	140	13	variables	variable	NOUN
cana-2253	140	14	because	because	SCONJ
cana-2253	140	15	this	this	PRON
cana-2253	140	16	will	will	AUX
cana-2253	140	17	facilitate	facilitate	VERB
cana-2253	140	18	the	the	DET
cana-2253	140	19	learning	learning	NOUN
cana-2253	140	20	and	and	CCONJ
cana-2253	140	21	evaluation	evaluation	NOUN
cana-2253	140	22	of	of	ADP
cana-2253	140	23	the	the	DET
cana-2253	140	24	model	model	NOUN
cana-2253	140	25	.	.	PUNCT
cana-2253	141	1	the	the	DET
cana-2253	141	2	dataset	dataset	NOUN
cana-2253	141	3	should	should	AUX
cana-2253	141	4	include	include	VERB
cana-2253	141	5	complete	complete	ADJ
cana-2253	141	6	pharmacological	pharmacological	ADJ
cana-2253	141	7	and	and	CCONJ
cana-2253	141	8	clinical	clinical	ADJ
cana-2253	141	9	drug	drug	NOUN
cana-2253	141	10	-	-	PUNCT
cana-2253	141	11	drug	drug	NOUN
cana-2253	141	12	interaction	interaction	NOUN
cana-2253	141	13	data	datum	NOUN
cana-2253	141	14	.	.	PUNCT
cana-2253	142	1	every	every	DET
cana-2253	142	2	encounter	encounter	NOUN
cana-2253	142	3	record	record	NOUN
cana-2253	142	4	should	should	AUX
cana-2253	142	5	consist	consist	VERB
cana-2253	142	6	ofmedical	ofmedical	ADJ
cana-2253	142	7	care	care	NOUN
cana-2253	142	8	pairing	pair	VERB
cana-2253	142	9	details	detail	NOUN
cana-2253	142	10	and	and	CCONJ
cana-2253	142	11	unique	unique	ADJ
cana-2253	142	12	identifiers	identifier	NOUN
cana-2253	142	13	for	for	ADP
cana-2253	142	14	each	each	DET
cana-2253	142	15	medicine	medicine	NOUN
cana-2253	142	16	that	that	PRON
cana-2253	142	17	interact	interact	VERB
cana-2253	142	18	similarly	similarly	ADV
cana-2253	142	19	.	.	PUNCT
cana-2253	143	1	on	on	ADP
cana-2253	143	2	a	a	DET
cana-2253	143	3	scale	scale	NOUN
cana-2253	143	4	from	from	ADP
cana-2253	143	5	moderate	moderate	ADJ
cana-2253	143	6	to	to	AUX
cana-2253	143	7	severe	severe	ADJ
cana-2253	143	8	,	,	PUNCT
cana-2253	143	9	encounter	encounter	ADJ
cana-2253	143	10	severity	severity	NOUN
cana-2253	143	11	is	be	AUX
cana-2253	143	12	harshness	harshness	ADJ
cana-2253	143	13	.	.	PUNCT
cana-2253	144	1	the	the	DET
cana-2253	144	2	classification	classification	NOUN
cana-2253	144	3	of	of	ADP
cana-2253	144	4	interactions	interaction	NOUN
cana-2253	144	5	includes	include	VERB
cana-2253	144	6	synergistic	synergistic	ADJ
cana-2253	144	7	,	,	PUNCT
cana-2253	144	8	antagonistic	antagonistic	ADJ
cana-2253	144	9	,	,	PUNCT
cana-2253	144	10	and	and	CCONJ
cana-2253	144	11	metabolic	metabolic	NOUN
cana-2253	144	12	interference	interference	NOUN
cana-2253	144	13	effects	effect	NOUN
cana-2253	144	14	of	of	ADP
cana-2253	144	15	drugs	drug	NOUN
cana-2253	144	16	.	.	PUNCT
cana-2253	145	1	clinical	clinical	ADJ
cana-2253	145	2	outcomes	outcome	NOUN
cana-2253	145	3	include	include	VERB
cana-2253	145	4	dizziness	dizziness	NOUN
cana-2253	145	5	and	and	CCONJ
cana-2253	145	6	a	a	DET
cana-2253	145	7	racing	race	VERB
cana-2253	145	8	heart	heart	NOUN
cana-2253	145	9	rate	rate	NOUN
cana-2253	145	10	due	due	ADP
cana-2253	145	11	to	to	ADP
cana-2253	145	12	interaction	interaction	NOUN
cana-2253	145	13	-	-	PUNCT
cana-2253	145	14	related	relate	VERB
cana-2253	145	15	side	side	NOUN
cana-2253	145	16	effects.in	effects.in	X
cana-2253	145	17	this	this	DET
cana-2253	145	18	study	study	NOUN
cana-2253	145	19	,	,	PUNCT
cana-2253	145	20	compare	compare	VERB
cana-2253	145	21	the	the	DET
cana-2253	145	22	proposed	propose	VERB
cana-2253	145	23	anfis	anfis	PROPN
cana-2253	145	24	model	model	PROPN
cana-2253	145	25	's	's	PART
cana-2253	145	26	performance	performance	NOUN
cana-2253	145	27	metrics	metric	NOUN
cana-2253	145	28	—	—	PUNCT
cana-2253	145	29	including	include	VERB
cana-2253	145	30	precision	precision	NOUN
cana-2253	145	31	,	,	PUNCT
cana-2253	145	32	specificity	specificity	NOUN
cana-2253	145	33	,	,	PUNCT
cana-2253	145	34	and	and	CCONJ
cana-2253	145	35	mean	mean	VERB
cana-2253	145	36	squared	square	VERB
cana-2253	145	37	error	error	NOUN
cana-2253	145	38	(	(	PUNCT
cana-2253	145	39	mse)—to	mse)—to	DET
cana-2253	145	40	those	those	PRON
cana-2253	145	41	of	of	ADP
cana-2253	145	42	state	state	NOUN
cana-2253	145	43	-	-	PUNCT
cana-2253	145	44	of	of	ADP
cana-2253	145	45	-	-	PUNCT
cana-2253	145	46	the	the	DET
cana-2253	145	47	-	-	PUNCT
cana-2253	145	48	art	art	NOUN
cana-2253	145	49	models	model	NOUN
cana-2253	145	50	,	,	PUNCT
cana-2253	145	51	including	include	VERB
cana-2253	145	52	mcff	mcff	NOUN
cana-2253	145	53	-	-	PUNCT
cana-2253	145	54	mtddi	mtddi	NOUN
cana-2253	145	55	and	and	CCONJ
cana-2253	145	56	dsil	dsil	NOUN
cana-2253	145	57	-	-	PUNCT
cana-2253	145	58	ddi	ddi	ADJ
cana-2253	145	59	,	,	PUNCT
cana-2253	145	60	as	as	ADV
cana-2253	145	61	well	well	ADV
cana-2253	145	62	as	as	ADP
cana-2253	145	63	the	the	DET
cana-2253	145	64	more	more	ADV
cana-2253	145	65	conventional	conventional	ADJ
cana-2253	145	66	reg	reg	NOUN
cana-2253	145	67	-	-	PUNCT
cana-2253	145	68	ml	ml	NOUN
cana-2253	145	69	method	method	NOUN
cana-2253	145	70	.	.	PUNCT
cana-2253	146	1	the	the	DET
cana-2253	146	2	experimental	experimental	ADJ
cana-2253	146	3	findings	finding	NOUN
cana-2253	146	4	that	that	PRON
cana-2253	146	5	were	be	AUX
cana-2253	146	6	compared	compare	VERB
cana-2253	146	7	with	with	ADP
cana-2253	146	8	each	each	DET
cana-2253	146	9	statistic	statistic	NOUN
cana-2253	146	10	are	be	AUX
cana-2253	146	11	mentioned	mention	VERB
cana-2253	146	12	below	below	ADP
cana-2253	146	13	:	:	PUNCT
cana-2253	146	14	precision(%	precision(%	NOUN
cana-2253	146	15	)	)	PUNCT
cana-2253	146	16	https://paperswithcode.com/dataset/ddi	https://paperswithcode.com/dataset/ddi	PROPN
cana-2253	146	17	communications	communication	NOUN
cana-2253	146	18	on	on	ADP
cana-2253	146	19	applied	apply	VERB
cana-2253	146	20	nonlinear	nonlinear	ADJ
cana-2253	146	21	analysis	analysis	NOUN
cana-2253	146	22	issn	issn	NOUN
cana-2253	146	23	:	:	PUNCT
cana-2253	146	24	1074	1074	NUM
cana-2253	146	25	-	-	PUNCT
cana-2253	146	26	133x	133x	NUM
cana-2253	146	27	vol	vol	NOUN
cana-2253	146	28	32	32	NUM
cana-2253	146	29	no	no	NOUN
cana-2253	146	30	.	.	PUNCT
cana-2253	147	1	2s	2s	NUM
cana-2253	147	2	(	(	PUNCT
cana-2253	147	3	2025	2025	NUM
cana-2253	147	4	)	)	PUNCT
cana-2253	147	5	92	92	NUM
cana-2253	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2253	147	7	one	one	NUM
cana-2253	147	8	way	way	NOUN
cana-2253	147	9	to	to	PART
cana-2253	147	10	evaluate	evaluate	VERB
cana-2253	147	11	a	a	DET
cana-2253	147	12	model	model	NOUN
cana-2253	147	13	's	's	PART
cana-2253	147	14	performance	performance	NOUN
cana-2253	147	15	is	be	AUX
cana-2253	147	16	to	to	PART
cana-2253	147	17	look	look	VERB
cana-2253	147	18	at	at	ADP
cana-2253	147	19	its	its	PRON
cana-2253	147	20	precision	precision	NOUN
cana-2253	147	21	in	in	ADP
cana-2253	147	22	figure	figure	NOUN
cana-2253	147	23	4	4	NUM
cana-2253	147	24	,	,	PUNCT
cana-2253	147	25	which	which	PRON
cana-2253	147	26	is	be	AUX
cana-2253	147	27	defined	define	VERB
cana-2253	147	28	as	as	ADP
cana-2253	147	29	the	the	DET
cana-2253	147	30	percentage	percentage	NOUN
cana-2253	147	31	of	of	ADP
cana-2253	147	32	predicted	predict	VERB
cana-2253	147	33	positive	positive	ADJ
cana-2253	147	34	interactions	interaction	NOUN
cana-2253	147	35	.	.	PUNCT
cana-2253	148	1	necessary	necessary	ADJ
cana-2253	148	2	in	in	ADP
cana-2253	148	3	ddi	ddi	PROPN
cana-2253	148	4	risk	risk	NOUN
cana-2253	148	5	assessment	assessment	NOUN
cana-2253	148	6	for	for	ADP
cana-2253	148	7	reducing	reduce	VERB
cana-2253	148	8	the	the	DET
cana-2253	148	9	possibility	possibility	NOUN
cana-2253	148	10	of	of	ADP
cana-2253	148	11	dangerous	dangerous	ADJ
cana-2253	148	12	drug	drug	NOUN
cana-2253	148	13	interactions	interaction	NOUN
cana-2253	148	14	being	be	AUX
cana-2253	148	15	incorrectly	incorrectly	ADV
cana-2253	148	16	labelled	label	VERB
cana-2253	148	17	as	as	ADV
cana-2253	148	18	safe	safe	ADJ
cana-2253	148	19	,	,	PUNCT
cana-2253	148	20	it	it	PRON
cana-2253	148	21	assesses	assess	VERB
cana-2253	148	22	the	the	DET
cana-2253	148	23	model	model	NOUN
cana-2253	148	24	's	's	PART
cana-2253	148	25	ability	ability	NOUN
cana-2253	148	26	to	to	PART
cana-2253	148	27	avoid	avoid	VERB
cana-2253	148	28	false	false	ADJ
cana-2253	148	29	positives	positive	NOUN
cana-2253	148	30	.	.	PUNCT
cana-2253	149	1	results	result	NOUN
cana-2253	149	2	for	for	ADP
cana-2253	149	3	the	the	DET
cana-2253	149	4	proposed	propose	VERB
cana-2253	149	5	anfis	anfis	PROPN
cana-2253	149	6	model	model	NOUN
cana-2253	149	7	:	:	PUNCT
cana-2253	149	8	92.3	92.3	NUM
cana-2253	149	9	%	%	NOUN
cana-2253	149	10	,	,	PUNCT
cana-2253	149	11	mcff	mcff	NOUN
cana-2253	149	12	-	-	PUNCT
cana-2253	149	13	mtddi	mtddi	NOUN
cana-2253	149	14	:	:	PUNCT
cana-2253	149	15	88.1	88.1	NUM
cana-2253	149	16	%	%	NOUN
cana-2253	149	17	,	,	PUNCT
cana-2253	149	18	85.7	85.7	NUM
cana-2253	149	19	%	%	NOUN
cana-2253	149	20	for	for	ADP
cana-2253	149	21	dsil	dsil	NOUN
cana-2253	149	22	-	-	PUNCT
cana-2253	149	23	ddi	ddi	PROPN
cana-2253	149	24	and	and	CCONJ
cana-2253	149	25	80.5	80.5	NUM
cana-2253	149	26	%	%	NOUN
cana-2253	149	27	for	for	ADP
cana-2253	149	28	reg	reg	NOUN
cana-2253	149	29	-	-	PUNCT
cana-2253	149	30	ml	ml	NOUN
cana-2253	149	31	.	.	PUNCT
cana-2253	150	1	the	the	DET
cana-2253	150	2	results	result	NOUN
cana-2253	150	3	demonstrate	demonstrate	VERB
cana-2253	150	4	that	that	SCONJ
cana-2253	150	5	compared	compare	VERB
cana-2253	150	6	to	to	ADP
cana-2253	150	7	other	other	ADJ
cana-2253	150	8	approaches	approach	NOUN
cana-2253	150	9	,	,	PUNCT
cana-2253	150	10	the	the	DET
cana-2253	150	11	anfis	anfis	ADJ
cana-2253	150	12	model	model	NOUN
cana-2253	150	13	performs	perform	VERB
cana-2253	150	14	better	well	ADV
cana-2253	150	15	with	with	ADP
cana-2253	150	16	a	a	DET
cana-2253	150	17	more	more	ADV
cana-2253	150	18	excellent	excellent	ADJ
cana-2253	150	19	precision	precision	NOUN
cana-2253	150	20	value	value	NOUN
cana-2253	150	21	.	.	PUNCT
cana-2253	151	1	fuzzy	fuzzy	ADJ
cana-2253	151	2	rules	rule	NOUN
cana-2253	151	3	,	,	PUNCT
cana-2253	151	4	which	which	PRON
cana-2253	151	5	allow	allow	VERB
cana-2253	151	6	for	for	ADP
cana-2253	151	7	more	more	ADJ
cana-2253	151	8	complex	complex	ADJ
cana-2253	151	9	interaction	interaction	NOUN
cana-2253	151	10	evaluations	evaluation	NOUN
cana-2253	151	11	and	and	CCONJ
cana-2253	151	12	lessen	lessen	VERB
cana-2253	151	13	the	the	DET
cana-2253	151	14	possibility	possibility	NOUN
cana-2253	151	15	of	of	ADP
cana-2253	151	16	misclassifications	misclassification	NOUN
cana-2253	151	17	,	,	PUNCT
cana-2253	151	18	are	be	AUX
cana-2253	151	19	responsible	responsible	ADJ
cana-2253	151	20	for	for	ADP
cana-2253	151	21	this	this	DET
cana-2253	151	22	increase	increase	NOUN
cana-2253	151	23	in	in	ADP
cana-2253	151	24	the	the	DET
cana-2253	151	25	model	model	NOUN
cana-2253	151	26	.	.	PUNCT
cana-2253	152	1	fig	fig	NOUN
cana-2253	152	2	.	.	PUNCT
cana-2253	153	1	4	4	NUM
cana-2253	153	2	:	:	PUNCT
cana-2253	153	3	precision	precision	NOUN
cana-2253	153	4	(	(	PUNCT
cana-2253	153	5	%	%	INTJ
cana-2253	153	6	)	)	PUNCT
cana-2253	153	7	specificity	specificity	NOUN
cana-2253	153	8	(	(	PUNCT
cana-2253	153	9	%	%	INTJ
cana-2253	153	10	)	)	PUNCT
cana-2253	153	11	when	when	SCONJ
cana-2253	153	12	assessing	assess	VERB
cana-2253	153	13	the	the	DET
cana-2253	153	14	specificity	specificity	NOUN
cana-2253	153	15	metric	metric	ADJ
cana-2253	153	16	in	in	ADP
cana-2253	153	17	figure	figure	NOUN
cana-2253	153	18	5	5	NUM
cana-2253	153	19	,	,	PUNCT
cana-2253	153	20	one	one	PRON
cana-2253	153	21	may	may	AUX
cana-2253	153	22	look	look	VERB
cana-2253	153	23	at	at	ADP
cana-2253	153	24	how	how	SCONJ
cana-2253	153	25	well	well	ADV
cana-2253	153	26	the	the	DET
cana-2253	153	27	predicted	predict	VERB
cana-2253	153	28	negative	negative	ADJ
cana-2253	153	29	interactions	interaction	NOUN
cana-2253	153	30	lined	line	VERB
cana-2253	153	31	up	up	ADP
cana-2253	153	32	with	with	ADP
cana-2253	153	33	the	the	DET
cana-2253	153	34	actual	actual	ADJ
cana-2253	153	35	ones.more	ones.more	NOUN
cana-2253	153	36	specifically	specifically	ADV
cana-2253	153	37	,	,	PUNCT
cana-2253	153	38	it	it	PRON
cana-2253	153	39	shows	show	VERB
cana-2253	153	40	how	how	SCONJ
cana-2253	153	41	the	the	DET
cana-2253	153	42	system	system	NOUN
cana-2253	153	43	can	can	AUX
cana-2253	153	44	identify	identify	VERB
cana-2253	153	45	safe	safe	ADJ
cana-2253	153	46	pharmaceutical	pharmaceutical	ADJ
cana-2253	153	47	combinations	combination	NOUN
cana-2253	153	48	without	without	ADP
cana-2253	153	49	misclassifying	misclassifye	VERB
cana-2253	153	50	them	they	PRON
cana-2253	153	51	.	.	PUNCT
cana-2253	154	1	the	the	DET
cana-2253	154	2	reg	reg	NOUN
cana-2253	154	3	-	-	PUNCT
cana-2253	154	4	ml	ml	NOUN
cana-2253	154	5	model	model	NOUN
cana-2253	154	6	scored	score	VERB
cana-2253	154	7	83.8	83.8	NUM
cana-2253	154	8	%	%	NOUN
cana-2253	154	9	,	,	PUNCT
cana-2253	154	10	the	the	DET
cana-2253	154	11	mcff	mcff	NOUN
cana-2253	154	12	-	-	PUNCT
cana-2253	154	13	mtddi	mtddi	NOUN
cana-2253	154	14	model	model	NOUN
cana-2253	154	15	90.2	90.2	NUM
cana-2253	154	16	%	%	NOUN
cana-2253	154	17	,	,	PUNCT
cana-2253	154	18	and	and	CCONJ
cana-2253	154	19	the	the	DET
cana-2253	154	20	dsil	dsil	NOUN
cana-2253	154	21	-	-	PUNCT
cana-2253	154	22	ddi	ddi	PROPN
cana-2253	154	23	model	model	NOUN
cana-2253	154	24	87.4	87.4	NUM
cana-2253	154	25	%	%	NOUN
cana-2253	154	26	.	.	PUNCT
cana-2253	155	1	the	the	DET
cana-2253	155	2	anfis	anfis	PROPN
cana-2253	155	3	model	model	NOUN
cana-2253	155	4	scored	score	VERB
cana-2253	155	5	94.6	94.6	NUM
cana-2253	155	6	%	%	NOUN
cana-2253	155	7	,	,	PUNCT
cana-2253	155	8	while	while	SCONJ
cana-2253	155	9	the	the	DET
cana-2253	155	10	others	other	NOUN
cana-2253	155	11	scored	score	VERB
cana-2253	155	12	and	and	CCONJ
cana-2253	155	13	scored	score	VERB
cana-2253	155	14	.	.	PUNCT
cana-2253	156	1	the	the	DET
cana-2253	156	2	anfis	anfis	PROPN
cana-2253	156	3	model	model	NOUN
cana-2253	156	4	carefully	carefully	ADV
cana-2253	156	5	selects	select	VERB
cana-2253	156	6	safe	safe	ADJ
cana-2253	156	7	pharmaceutical	pharmaceutical	ADJ
cana-2253	156	8	combinations	combination	NOUN
cana-2253	156	9	for	for	ADP
cana-2253	156	10	maximum	maximum	ADJ
cana-2253	156	11	specificity	specificity	NOUN
cana-2253	156	12	.	.	PUNCT
cana-2253	157	1	this	this	PRON
cana-2253	157	2	maximizes	maximize	VERB
cana-2253	157	3	model	model	NOUN
cana-2253	157	4	efficacy	efficacy	PROPN
cana-2253	157	5	.	.	PUNCT
cana-2253	158	1	this	this	DET
cana-2253	158	2	high	high	ADJ
cana-2253	158	3	specificity	specificity	NOUN
cana-2253	158	4	shows	show	VERB
cana-2253	158	5	that	that	SCONJ
cana-2253	158	6	the	the	DET
cana-2253	158	7	model	model	NOUN
cana-2253	158	8	can	can	AUX
cana-2253	158	9	reduce	reduce	VERB
cana-2253	158	10	false	false	ADJ
cana-2253	158	11	positives	positive	NOUN
cana-2253	158	12	in	in	ADP
cana-2253	158	13	real	real	ADJ
cana-2253	158	14	-	-	PUNCT
cana-2253	158	15	world	world	NOUN
cana-2253	158	16	ddi	ddi	ADJ
cana-2253	158	17	risk	risk	NOUN
cana-2253	158	18	assessment	assessment	NOUN
cana-2253	158	19	,	,	PUNCT
cana-2253	158	20	which	which	PRON
cana-2253	158	21	is	be	AUX
cana-2253	158	22	crucial	crucial	ADJ
cana-2253	158	23	.	.	PUNCT
cana-2253	159	1	fig	fig	NOUN
cana-2253	159	2	.	.	PUNCT
cana-2253	160	1	5	5	NUM
cana-2253	160	2	:	:	PUNCT
cana-2253	160	3	specificity	specificity	NOUN
cana-2253	160	4	mean	mean	VERB
cana-2253	160	5	square	square	ADJ
cana-2253	160	6	error	error	NOUN
cana-2253	160	7	the	the	DET
cana-2253	160	8	mse	mse	NOUN
cana-2253	160	9	can	can	AUX
cana-2253	160	10	calculate	calculate	VERB
cana-2253	160	11	the	the	DET
cana-2253	160	12	average	average	ADJ
cana-2253	160	13	discordance	discordance	NOUN
cana-2253	160	14	between	between	ADP
cana-2253	160	15	actual	actual	ADJ
cana-2253	160	16	and	and	CCONJ
cana-2253	160	17	anticipated	anticipated	ADJ
cana-2253	160	18	values	value	NOUN
cana-2253	160	19	.	.	PUNCT
cana-2253	161	1	analyzing	analyze	VERB
cana-2253	161	2	a	a	DET
cana-2253	161	3	model	model	NOUN
cana-2253	161	4	's	's	PART
cana-2253	161	5	predictive	predictive	ADJ
cana-2253	161	6	power	power	NOUN
cana-2253	161	7	this	this	DET
cana-2253	161	8	way	way	NOUN
cana-2253	161	9	is	be	AUX
cana-2253	161	10	common	common	ADJ
cana-2253	161	11	.	.	PUNCT
cana-2253	162	1	a	a	DET
cana-2253	162	2	low	low	ADJ
cana-2253	162	3	mse	mse	NOUN
cana-2253	162	4	suggests	suggest	VERB
cana-2253	162	5	good	good	ADJ
cana-2253	162	6	performance	performance	NOUN
cana-2253	162	7	.	.	PUNCT
cana-2253	163	1	mcffmtddi	mcffmtddi	NOUN
cana-2253	163	2	,	,	PUNCT
cana-2253	163	3	reg	reg	NOUN
cana-2253	163	4	-	-	PUNCT
cana-2253	163	5	ml	ml	NOUN
cana-2253	163	6	,	,	PUNCT
cana-2253	163	7	anfis	anfis	ADJ
cana-2253	163	8	model	model	NOUN
cana-2253	163	9	,	,	PUNCT
cana-2253	163	10	and	and	CCONJ
cana-2253	163	11	dsil	dsil	NOUN
cana-2253	163	12	-	-	PUNCT
cana-2253	163	13	ddi	ddi	NOUN
cana-2253	163	14	estimate	estimate	NOUN
cana-2253	163	15	0.056	0.056	NUM
cana-2253	163	16	,	,	PUNCT
cana-2253	163	17	0.045	0.045	NUM
cana-2253	163	18	,	,	PUNCT
cana-2253	163	19	0.034	0.034	NUM
cana-2253	163	20	,	,	PUNCT
cana-2253	163	21	and	and	CCONJ
cana-2253	163	22	0.021	0.021	NUM
cana-2253	163	23	on	on	ADP
cana-2253	163	24	their	their	PRON
cana-2253	163	25	70	70	NUM
cana-2253	163	26	75	75	NUM
cana-2253	163	27	80	80	NUM
cana-2253	163	28	85	85	NUM
cana-2253	163	29	90	90	NUM
cana-2253	163	30	95	95	NUM
cana-2253	163	31	100	100	NUM
cana-2253	163	32	100	100	NUM
cana-2253	163	33	200	200	NUM
cana-2253	163	34	300	300	NUM
cana-2253	163	35	400	400	NUM
cana-2253	163	36	500	500	NUM
cana-2253	163	37	p	p	NOUN
cana-2253	163	38	re	re	ADP
cana-2253	163	39	ci	ci	NOUN
cana-2253	163	40	si	si	PROPN
cana-2253	163	41	o	o	PROPN
cana-2253	164	1	n	n	CCONJ
cana-2253	164	2	(	(	PUNCT
cana-2253	164	3	%	%	NOUN
cana-2253	164	4	)	)	PUNCT
cana-2253	164	5	no	no	PRON
cana-2253	164	6	of	of	ADP
cana-2253	164	7	images	image	NOUN
cana-2253	164	8	reg	reg	NOUN
cana-2253	164	9	-	-	PUNCT
cana-2253	164	10	ml	ml	NOUN
cana-2253	164	11	dsil	dsil	NOUN
cana-2253	164	12	-	-	PUNCT
cana-2253	164	13	ddi	ddi	PROPN
cana-2253	164	14	mcffmtddi	mcffmtddi	NOUN
cana-2253	164	15	anfis	anfis	AUX
cana-2253	164	16	model	model	VERB
cana-2253	164	17	0.7	0.7	NUM
cana-2253	164	18	0.75	0.75	NUM
cana-2253	164	19	0.8	0.8	NUM
cana-2253	164	20	0.85	0.85	NUM
cana-2253	164	21	0.9	0.9	NUM
cana-2253	164	22	0.95	0.95	NUM
cana-2253	164	23	1	1	NUM
cana-2253	164	24	100	100	NUM
cana-2253	164	25	200	200	NUM
cana-2253	164	26	300	300	NUM
cana-2253	164	27	400	400	NUM
cana-2253	164	28	500	500	NUM
cana-2253	164	29	s	s	PART
cana-2253	164	30	p	p	NOUN
cana-2253	164	31	e	e	X
cana-2253	164	32	c	c	NOUN
cana-2253	164	33	if	if	SCONJ
cana-2253	164	34	it	it	PRON
cana-2253	164	35	y	y	INTJ
cana-2253	164	36	(	(	PUNCT
cana-2253	164	37	%	%	INTJ
cana-2253	164	38	)	)	PUNCT
cana-2253	164	39	no	no	PRON
cana-2253	164	40	of	of	ADP
cana-2253	164	41	images	image	NOUN
cana-2253	164	42	reg	reg	NOUN
cana-2253	164	43	-	-	PUNCT
cana-2253	164	44	ml	ml	NOUN
cana-2253	164	45	dsil	dsil	NOUN
cana-2253	164	46	-	-	PUNCT
cana-2253	164	47	ddi	ddi	PROPN
cana-2253	164	48	mcffmtddi	mcffmtddi	NOUN
cana-2253	164	49	anfis	anfi	VERB
cana-2253	164	50	model	model	NOUN
cana-2253	164	51	communications	communication	NOUN
cana-2253	164	52	on	on	ADP
cana-2253	164	53	applied	apply	VERB
cana-2253	164	54	nonlinear	nonlinear	ADJ
cana-2253	164	55	analysis	analysis	NOUN
cana-2253	164	56	issn	issn	NOUN
cana-2253	164	57	:	:	PUNCT
cana-2253	164	58	1074	1074	NUM
cana-2253	164	59	-	-	PUNCT
cana-2253	164	60	133x	133x	NUM
cana-2253	164	61	vol	vol	NOUN
cana-2253	164	62	32	32	NUM
cana-2253	164	63	no	no	NOUN
cana-2253	164	64	.	.	PUNCT
cana-2253	165	1	2s	2s	NUM
cana-2253	165	2	(	(	PUNCT
cana-2253	165	3	2025	2025	NUM
cana-2253	165	4	)	)	PUNCT
cana-2253	165	5	93	93	NUM
cana-2253	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2253	165	7	scales	scale	NOUN
cana-2253	165	8	.	.	PUNCT
cana-2253	166	1	the	the	DET
cana-2253	166	2	recommended	recommend	VERB
cana-2253	166	3	anfis	anfis	PROPN
cana-2253	166	4	model	model	NOUN
cana-2253	166	5	predicts	predict	VERB
cana-2253	166	6	pharmaceutical	pharmaceutical	ADJ
cana-2253	166	7	interactions	interaction	NOUN
cana-2253	166	8	better	well	ADV
cana-2253	166	9	than	than	ADP
cana-2253	166	10	previous	previous	ADJ
cana-2253	166	11	techniques	technique	NOUN
cana-2253	166	12	.	.	PUNCT
cana-2253	167	1	the	the	DET
cana-2253	167	2	mse	mse	PROPN
cana-2253	167	3	is	be	AUX
cana-2253	167	4	substantially	substantially	ADV
cana-2253	167	5	lower	low	ADJ
cana-2253	167	6	than	than	ADP
cana-2253	167	7	previous	previous	ADJ
cana-2253	167	8	approaches	approach	NOUN
cana-2253	167	9	.	.	PUNCT
cana-2253	168	1	fuzzy	fuzzy	ADJ
cana-2253	168	2	inference	inference	NOUN
cana-2253	168	3	and	and	CCONJ
cana-2253	168	4	adaptive	adaptive	ADJ
cana-2253	168	5	neural	neural	ADJ
cana-2253	168	6	network	network	NOUN
cana-2253	168	7	learning	learning	NOUN
cana-2253	168	8	make	make	VERB
cana-2253	168	9	anfis	anfis	ADJ
cana-2253	168	10	powerful	powerful	ADJ
cana-2253	168	11	.	.	PUNCT
cana-2253	169	1	we	we	PRON
cana-2253	169	2	can	can	AUX
cana-2253	169	3	map	map	VERB
cana-2253	169	4	complex	complex	ADJ
cana-2253	169	5	linkages	linkage	NOUN
cana-2253	169	6	more	more	ADV
cana-2253	169	7	precisely	precisely	ADV
cana-2253	169	8	because	because	SCONJ
cana-2253	169	9	of	of	ADP
cana-2253	169	10	this	this	PRON
cana-2253	169	11	.	.	PUNCT
cana-2253	170	1	table	table	NOUN
cana-2253	170	2	1	1	NUM
cana-2253	170	3	compares	compare	VERB
cana-2253	170	4	the	the	DET
cana-2253	170	5	mean	mean	ADJ
cana-2253	170	6	squared	square	VERB
cana-2253	170	7	error	error	NOUN
cana-2253	170	8	(	(	PUNCT
cana-2253	170	9	mse	mse	NOUN
cana-2253	170	10	)	)	PUNCT
cana-2253	170	11	values	value	NOUN
cana-2253	170	12	of	of	ADP
cana-2253	170	13	the	the	DET
cana-2253	170	14	proposed	propose	VERB
cana-2253	170	15	anfis	anfis	PROPN
cana-2253	170	16	model	model	NOUN
cana-2253	170	17	to	to	ADP
cana-2253	170	18	those	those	PRON
cana-2253	170	19	of	of	ADP
cana-2253	170	20	other	other	ADJ
cana-2253	170	21	well	well	ADV
cana-2253	170	22	-	-	PUNCT
cana-2253	170	23	established	establish	VERB
cana-2253	170	24	ddi	ddi	PROPN
cana-2253	170	25	risk	risk	NOUN
cana-2253	170	26	assessment	assessment	NOUN
cana-2253	170	27	approaches	approach	NOUN
cana-2253	170	28	.	.	PUNCT
cana-2253	171	1	reg	reg	NOUN
cana-2253	171	2	-	-	PUNCT
cana-2253	171	3	ml	ml	NOUN
cana-2253	171	4	,	,	PUNCT
cana-2253	171	5	dsil	dsil	NOUN
cana-2253	171	6	-	-	PUNCT
cana-2253	171	7	ddi	ddi	ADJ
cana-2253	171	8	,	,	PUNCT
cana-2253	171	9	and	and	CCONJ
cana-2253	171	10	mcff	mcff	NOUN
cana-2253	171	11	-	-	PUNCT
cana-2253	171	12	mtddi	mtddi	NOUN
cana-2253	171	13	are	be	AUX
cana-2253	171	14	cutting	cut	VERB
cana-2253	171	15	-	-	PUNCT
cana-2253	171	16	edge	edge	NOUN
cana-2253	171	17	models	model	NOUN
cana-2253	171	18	.	.	PUNCT
cana-2253	172	1	table	table	NOUN
cana-2253	172	2	1	1	NUM
cana-2253	172	3	:	:	PUNCT
cana-2253	172	4	mse	mse	NOUN
cana-2253	172	5	methods	method	NOUN
cana-2253	172	6	mse	mse	PROPN
cana-2253	172	7	anfis	anfis	AUX
cana-2253	172	8	model	model	PROPN
cana-2253	172	9	0.021	0.021	NUM
cana-2253	172	10	mcff	mcff	PROPN
cana-2253	172	11	-	-	PUNCT
cana-2253	172	12	mtddi	mtddi	NOUN
cana-2253	172	13	0.034	0.034	NUM
cana-2253	172	14	dsil	dsil	NOUN
cana-2253	172	15	-	-	PUNCT
cana-2253	172	16	ddi	ddi	PROPN
cana-2253	172	17	0.045	0.045	NUM
cana-2253	172	18	reg	reg	NOUN
cana-2253	172	19	-	-	PUNCT
cana-2253	172	20	ml	ml	NOUN
cana-2253	172	21	0.056	0.056	NUM
cana-2253	172	22	tests	test	NOUN
cana-2253	172	23	show	show	VERB
cana-2253	172	24	that	that	SCONJ
cana-2253	172	25	the	the	DET
cana-2253	172	26	ddi	ddi	PROPN
cana-2253	172	27	risk	risk	NOUN
cana-2253	172	28	assessment	assessment	NOUN
cana-2253	172	29	using	use	VERB
cana-2253	172	30	the	the	DET
cana-2253	172	31	recently	recently	ADV
cana-2253	172	32	established	establish	VERB
cana-2253	172	33	anfis	anfis	ADJ
cana-2253	172	34	model	model	NOUN
cana-2253	172	35	is	be	AUX
cana-2253	172	36	more	more	ADV
cana-2253	172	37	reliable	reliable	ADJ
cana-2253	172	38	and	and	CCONJ
cana-2253	172	39	secure	secure	ADJ
cana-2253	172	40	than	than	ADP
cana-2253	172	41	the	the	DET
cana-2253	172	42	current	current	ADJ
cana-2253	172	43	one	one	NUM
cana-2253	172	44	.	.	PUNCT
cana-2253	173	1	the	the	DET
cana-2253	173	2	anfis	anfis	PROPN
cana-2253	173	3	model	model	NOUN
cana-2253	173	4	's	's	PART
cana-2253	173	5	low	low	ADJ
cana-2253	173	6	mse	mse	NOUN
cana-2253	173	7	and	and	CCONJ
cana-2253	173	8	excellent	excellent	ADJ
cana-2253	173	9	specificity	specificity	NOUN
cana-2253	173	10	and	and	CCONJ
cana-2253	173	11	accuracy	accuracy	NOUN
cana-2253	173	12	allow	allow	VERB
cana-2253	173	13	it	it	PRON
cana-2253	173	14	to	to	PART
cana-2253	173	15	discover	discover	VERB
cana-2253	173	16	safe	safe	ADJ
cana-2253	173	17	and	and	CCONJ
cana-2253	173	18	dangerous	dangerous	ADJ
cana-2253	173	19	medication	medication	NOUN
cana-2253	173	20	combinations	combination	NOUN
cana-2253	173	21	.	.	PUNCT
cana-2253	174	1	this	this	PRON
cana-2253	174	2	reduces	reduce	VERB
cana-2253	174	3	clinical	clinical	ADJ
cana-2253	174	4	medication	medication	NOUN
cana-2253	174	5	interactions	interaction	NOUN
cana-2253	174	6	.	.	PUNCT
cana-2253	175	1	5	5	X
cana-2253	175	2	.	.	X
cana-2253	175	3	conclusion	conclusion	NOUN
cana-2253	175	4	this	this	DET
cana-2253	175	5	field	field	NOUN
cana-2253	175	6	is	be	AUX
cana-2253	175	7	now	now	ADV
cana-2253	175	8	assessing	assess	VERB
cana-2253	175	9	and	and	CCONJ
cana-2253	175	10	predicting	predict	VERB
cana-2253	175	11	drunk	drunk	ADJ
cana-2253	175	12	driving	drive	VERB
cana-2253	175	13	risks	risk	NOUN
cana-2253	175	14	using	use	VERB
cana-2253	175	15	the	the	DET
cana-2253	175	16	anfis	anfis	PROPN
cana-2253	175	17	.	.	PUNCT
cana-2253	176	1	fuzzy	fuzzy	ADJ
cana-2253	176	2	logic	logic	NOUN
cana-2253	176	3	and	and	CCONJ
cana-2253	176	4	neural	neural	ADJ
cana-2253	176	5	networks	network	NOUN
cana-2253	176	6	can	can	AUX
cana-2253	176	7	help	help	VERB
cana-2253	176	8	control	control	VERB
cana-2253	176	9	medication	medication	NOUN
cana-2253	176	10	interactions	interaction	NOUN
cana-2253	176	11	'	'	PART
cana-2253	176	12	complexity	complexity	NOUN
cana-2253	176	13	and	and	CCONJ
cana-2253	176	14	unpredictability	unpredictability	NOUN
cana-2253	176	15	.	.	PUNCT
cana-2253	177	1	the	the	DET
cana-2253	177	2	anfis	anfis	PROPN
cana-2253	177	3	model	model	NOUN
cana-2253	177	4	analyzes	analyze	VERB
cana-2253	177	5	data	datum	NOUN
cana-2253	177	6	using	use	VERB
cana-2253	177	7	fuzzy	fuzzy	ADJ
cana-2253	177	8	rules	rule	NOUN
cana-2253	177	9	and	and	CCONJ
cana-2253	177	10	adaptive	adaptive	NOUN
cana-2253	177	11	learning	learning	NOUN
cana-2253	177	12	to	to	PART
cana-2253	177	13	assess	assess	VERB
cana-2253	177	14	ddi	ddi	ADJ
cana-2253	177	15	sensitivity	sensitivity	NOUN
cana-2253	177	16	.	.	PUNCT
cana-2253	178	1	it	it	PRON
cana-2253	178	2	's	be	AUX
cana-2253	178	3	possible	possible	ADJ
cana-2253	178	4	to	to	PART
cana-2253	178	5	seamlessly	seamlessly	ADV
cana-2253	178	6	combine	combine	VERB
cana-2253	178	7	drugs	drug	NOUN
cana-2253	178	8	,	,	PUNCT
cana-2253	178	9	patient	patient	ADJ
cana-2253	178	10	health	health	NOUN
cana-2253	178	11	,	,	PUNCT
cana-2253	178	12	and	and	CCONJ
cana-2253	178	13	pharmacological	pharmacological	ADJ
cana-2253	178	14	profiles	profile	NOUN
cana-2253	178	15	.	.	PUNCT
cana-2253	179	1	experimental	experimental	ADJ
cana-2253	179	2	results	result	NOUN
cana-2253	179	3	show	show	VERB
cana-2253	179	4	that	that	SCONJ
cana-2253	179	5	the	the	DET
cana-2253	179	6	proposed	propose	VERB
cana-2253	179	7	model	model	NOUN
cana-2253	179	8	outperforms	outperform	VERB
cana-2253	179	9	industry	industry	NOUN
cana-2253	179	10	standards	standard	NOUN
cana-2253	179	11	like	like	ADP
cana-2253	179	12	mcff	mcff	NOUN
cana-2253	179	13	-	-	PUNCT
cana-2253	179	14	mtddi	mtddi	NOUN
cana-2253	179	15	and	and	CCONJ
cana-2253	179	16	dsilddi	dsilddi	NOUN
cana-2253	179	17	.	.	PUNCT
cana-2253	180	1	among	among	ADP
cana-2253	180	2	these	these	DET
cana-2253	180	3	metrics	metric	NOUN
cana-2253	180	4	are	be	AUX
cana-2253	180	5	accuracy	accuracy	ADJ
cana-2253	180	6	,	,	PUNCT
cana-2253	180	7	specificity	specificity	NOUN
cana-2253	180	8	,	,	PUNCT
cana-2253	180	9	and	and	CCONJ
cana-2253	180	10	mean	mean	VERB
cana-2253	180	11	squared	square	VERB
cana-2253	180	12	error	error	NOUN
cana-2253	180	13	.	.	PUNCT
cana-2253	181	1	anfis	anfis	PROPN
cana-2253	181	2	outperforms	outperform	VERB
cana-2253	181	3	rival	rival	ADJ
cana-2253	181	4	models	model	NOUN
cana-2253	181	5	in	in	ADP
cana-2253	181	6	error	error	NOUN
cana-2253	181	7	reduction	reduction	NOUN
cana-2253	181	8	and	and	CCONJ
cana-2253	181	9	prediction	prediction	NOUN
cana-2253	181	10	accuracy	accuracy	NOUN
cana-2253	181	11	due	due	ADP
cana-2253	181	12	to	to	ADP
cana-2253	181	13	its	its	PRON
cana-2253	181	14	lower	low	ADJ
cana-2253	181	15	mse	mse	NOUN
cana-2253	181	16	score	score	NOUN
cana-2253	181	17	.	.	PUNCT
cana-2253	182	1	this	this	DET
cana-2253	182	2	innovation	innovation	NOUN
cana-2253	182	3	is	be	AUX
cana-2253	182	4	essential	essential	ADJ
cana-2253	182	5	for	for	ADP
cana-2253	182	6	pharmacological	pharmacological	NOUN
cana-2253	182	7	therapy	therapy	NOUN
cana-2253	182	8	management	management	NOUN
cana-2253	182	9	and	and	CCONJ
cana-2253	182	10	patient	patient	ADJ
cana-2253	182	11	safety	safety	NOUN
cana-2253	182	12	.	.	PUNCT
cana-2253	183	1	anfis	anfis	PROPN
cana-2253	183	2	-	-	PUNCT
cana-2253	183	3	based	base	VERB
cana-2253	183	4	systems	system	NOUN
cana-2253	183	5	may	may	AUX
cana-2253	183	6	reduce	reduce	VERB
cana-2253	183	7	clinically	clinically	ADV
cana-2253	183	8	adverse	adverse	ADJ
cana-2253	183	9	drug	drug	NOUN
cana-2253	183	10	interactions	interaction	NOUN
cana-2253	183	11	and	and	CCONJ
cana-2253	183	12	increase	increase	VERB
cana-2253	183	13	medication	medication	NOUN
cana-2253	183	14	safety	safety	NOUN
cana-2253	183	15	.	.	PUNCT
cana-2253	184	1	because	because	SCONJ
cana-2253	184	2	it	it	PRON
cana-2253	184	3	accurately	accurately	ADV
cana-2253	184	4	identifies	identify	VERB
cana-2253	184	5	high	high	ADJ
cana-2253	184	6	-	-	PUNCT
cana-2253	184	7	risk	risk	NOUN
cana-2253	184	8	interactions	interaction	NOUN
cana-2253	184	9	with	with	ADP
cana-2253	184	10	few	few	ADJ
cana-2253	184	11	false	false	ADJ
cana-2253	184	12	positives	positive	NOUN
cana-2253	184	13	.	.	PUNCT
cana-2253	185	1	further	further	ADJ
cana-2253	185	2	study	study	NOUN
cana-2253	185	3	may	may	AUX
cana-2253	185	4	enlarge	enlarge	VERB
cana-2253	185	5	the	the	DET
cana-2253	185	6	dataset	dataset	NOUN
cana-2253	185	7	,	,	PUNCT
cana-2253	185	8	integrate	integrate	VERB
cana-2253	185	9	pharmacological	pharmacological	ADJ
cana-2253	185	10	components	component	NOUN
cana-2253	185	11	,	,	PUNCT
cana-2253	185	12	and	and	CCONJ
cana-2253	185	13	test	test	VERB
cana-2253	185	14	the	the	DET
cana-2253	185	15	model	model	NOUN
cana-2253	185	16	in	in	ADP
cana-2253	185	17	more	more	ADV
cana-2253	185	18	clinical	clinical	ADJ
cana-2253	185	19	circumstances	circumstance	NOUN
cana-2253	185	20	.	.	PUNCT
cana-2253	186	1	the	the	DET
cana-2253	186	2	model	model	NOUN
cana-2253	186	3	's	's	PART
cana-2253	186	4	usability	usability	NOUN
cana-2253	186	5	and	and	CCONJ
cana-2253	186	6	practicability	practicability	NOUN
cana-2253	186	7	improve	improve	VERB
cana-2253	186	8	with	with	ADP
cana-2253	186	9	this	this	DET
cana-2253	186	10	addition	addition	NOUN
cana-2253	186	11	.	.	PUNCT
cana-2253	187	1	references	reference	NOUN
cana-2253	187	2	[	[	X
cana-2253	187	3	1	1	NUM
cana-2253	187	4	]	]	SYM
cana-2253	187	5	hu	hu	PROPN
cana-2253	187	6	,	,	PUNCT
cana-2253	187	7	w.	w.	PROPN
cana-2253	187	8	,	,	PUNCT
cana-2253	187	9	zhang	zhang	PROPN
cana-2253	187	10	,	,	PUNCT
cana-2253	187	11	w.	w.	PROPN
cana-2253	187	12	,	,	PUNCT
cana-2253	187	13	zhou	zhou	PROPN
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cana-2253	187	15	y.	y.	PROPN
cana-2253	187	16	,	,	PUNCT
cana-2253	187	17	luo	luo	PROPN
cana-2253	187	18	,	,	PUNCT
cana-2253	187	19	y.	y.	PROPN
cana-2253	187	20	,	,	PUNCT
cana-2253	187	21	sun	sun	PROPN
cana-2253	187	22	,	,	PUNCT
cana-2253	187	23	x.	x.	PROPN
cana-2253	187	24	,	,	PUNCT
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cana-2253	187	26	,	,	PUNCT
cana-2253	187	27	h.	h.	PROPN
cana-2253	187	28	,	,	PUNCT
cana-2253	187	29	&	&	CCONJ
cana-2253	187	30	dai	dai	PROPN
cana-2253	187	31	,	,	PUNCT
cana-2253	187	32	h.	h.	PROPN
cana-2253	187	33	(	(	PUNCT
cana-2253	187	34	2023	2023	NUM
cana-2253	187	35	)	)	PUNCT
cana-2253	187	36	.	.	PUNCT
cana-2253	188	1	mecddi	mecddi	NOUN
cana-2253	188	2	:	:	PUNCT
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cana-2253	188	4	drug	drug	NOUN
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cana-2253	188	6	drug	drug	NOUN
cana-2253	188	7	interaction	interaction	NOUN
cana-2253	188	8	mechanism	mechanism	NOUN
cana-2253	188	9	facilitating	facilitate	VERB
cana-2253	188	10	rational	rational	ADJ
cana-2253	188	11	drug	drug	NOUN
cana-2253	188	12	use	use	NOUN
cana-2253	188	13	and	and	CCONJ
cana-2253	188	14	potential	potential	ADJ
cana-2253	188	15	drug	drug	NOUN
cana-2253	188	16	–	–	PUNCT
cana-2253	188	17	drug	drug	NOUN
cana-2253	188	18	interaction	interaction	NOUN
cana-2253	188	19	prediction	prediction	NOUN
cana-2253	188	20	.	.	PUNCT
cana-2253	189	1	journal	journal	PROPN
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cana-2253	189	3	chemical	chemical	ADJ
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cana-2253	189	6	modeling	modeling	NOUN
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cana-2253	189	8	63(5	63(5	NOUN
cana-2253	189	9	)	)	PUNCT
cana-2253	189	10	,	,	PUNCT
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cana-2253	189	12	-	-	SYM
cana-2253	189	13	1636	1636	NUM
cana-2253	189	14	.	.	PUNCT
cana-2253	190	1	[	[	X
cana-2253	190	2	2	2	NUM
cana-2253	190	3	]	]	PUNCT
cana-2253	190	4	veera	veera	NOUN
cana-2253	190	5	boopathy	boopathy	PROPN
cana-2253	190	6	,	,	PUNCT
cana-2253	190	7	e.	e.	PROPN
cana-2253	190	8	,	,	PUNCT
cana-2253	190	9	peer	peer	NOUN
cana-2253	190	10	mohamed	mohamed	PROPN
cana-2253	190	11	appa	appa	PROPN
cana-2253	190	12	,	,	PUNCT
cana-2253	190	13	m.a.y	m.a.y	NOUN
cana-2253	190	14	.	.	PUNCT
cana-2253	190	15	,	,	PUNCT
cana-2253	190	16	pragadeswaran	pragadeswaran	PROPN
cana-2253	190	17	,	,	PUNCT
cana-2253	190	18	s.	s.	PROPN
cana-2253	190	19	,	,	PUNCT
cana-2253	190	20	karthick	karthick	PROPN
cana-2253	190	21	raja	raja	PROPN
cana-2253	190	22	,	,	PUNCT
cana-2253	190	23	d.	d.	PROPN
cana-2253	190	24	,	,	PUNCT
cana-2253	190	25	gowtham	gowtham	PROPN
cana-2253	190	26	,	,	PUNCT
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cana-2253	190	28	,	,	PUNCT
cana-2253	190	29	kishore	kishore	PROPN
cana-2253	190	30	,	,	PUNCT
cana-2253	190	31	r.	r.	PROPN
cana-2253	190	32	,	,	PUNCT
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cana-2253	190	34	,	,	PUNCT
cana-2253	190	35	p.	p.	NOUN
cana-2253	190	36	,	,	PUNCT
cana-2253	190	37	&	&	CCONJ
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cana-2253	190	40	k.	k.	PROPN
cana-2253	190	41	(	(	PUNCT
cana-2253	190	42	2024	2024	NUM
cana-2253	190	43	)	)	PUNCT
cana-2253	190	44	.	.	PUNCT
cana-2253	191	1	a	a	DET
cana-2253	191	2	data	datum	NOUN
cana-2253	191	3	driven	drive	VERB
cana-2253	191	4	approach	approach	NOUN
cana-2253	191	5	through	through	ADP
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cana-2253	191	9	healthcare	healthcare	NOUN
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cana-2253	191	11	system	system	NOUN
cana-2253	191	12	.	.	PUNCT
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cana-2253	192	3	technical	technical	ADJ
cana-2253	192	4	sciences	science	NOUN
cana-2253	192	5	,	,	PUNCT
cana-2253	192	6	2(31	2(31	NUM
cana-2253	192	7	)	)	PUNCT
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cana-2253	192	10	-	-	SYM
cana-2253	192	11	15	15	NUM
cana-2253	192	12	.	.	PUNCT
cana-2253	193	1	[	[	X
cana-2253	193	2	3	3	NUM
cana-2253	193	3	]	]	X
cana-2253	193	4	zhong	zhong	PROPN
cana-2253	193	5	,	,	PUNCT
cana-2253	193	6	y.	y.	PROPN
cana-2253	193	7	,	,	PUNCT
cana-2253	193	8	zheng	zheng	PROPN
cana-2253	193	9	,	,	PUNCT
cana-2253	193	10	h.	h.	PROPN
cana-2253	193	11	,	,	PUNCT
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cana-2253	193	13	,	,	PUNCT
cana-2253	193	14	x.	x.	PROPN
cana-2253	193	15	,	,	PUNCT
cana-2253	193	16	zhao	zhao	PROPN
cana-2253	193	17	,	,	PUNCT
cana-2253	193	18	y.	y.	PROPN
cana-2253	193	19	,	,	PUNCT
cana-2253	193	20	gao	gao	PROPN
cana-2253	193	21	,	,	PUNCT
cana-2253	193	22	t.	t.	PROPN
cana-2253	193	23	,	,	PUNCT
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cana-2253	193	26	h.	h.	PROPN
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cana-2253	193	28	&	&	CCONJ
cana-2253	193	29	weng	weng	PROPN
cana-2253	193	30	,	,	PUNCT
cana-2253	193	31	z.	z.	PROPN
cana-2253	193	32	(	(	PUNCT
cana-2253	193	33	2023	2023	NUM
cana-2253	193	34	)	)	PUNCT
cana-2253	193	35	.	.	PUNCT
cana-2253	194	1	ddi	ddi	PROPN
cana-2253	194	2	-	-	PUNCT
cana-2253	194	3	gcn	gcn	NOUN
cana-2253	194	4	:	:	PUNCT
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cana-2253	194	6	-	-	PUNCT
cana-2253	194	7	drug	drug	NOUN
cana-2253	194	8	interaction	interaction	NOUN
cana-2253	194	9	prediction	prediction	NOUN
cana-2253	194	10	via	via	ADP
cana-2253	194	11	explainable	explainable	ADJ
cana-2253	194	12	graph	graph	NOUN
cana-2253	194	13	convolutional	convolutional	ADJ
cana-2253	194	14	networks	network	NOUN
cana-2253	194	15	.	.	PUNCT
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cana-2253	195	2	intelligence	intelligence	NOUN
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cana-2253	195	4	medicine	medicine	NOUN
cana-2253	195	5	,	,	PUNCT
cana-2253	195	6	144	144	NUM
cana-2253	195	7	,	,	PUNCT
cana-2253	195	8	102640	102640	NUM
cana-2253	195	9	.	.	PUNCT
cana-2253	196	1	[	[	X
cana-2253	196	2	4	4	NUM
cana-2253	196	3	]	]	X
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cana-2253	196	5	,	,	PUNCT
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cana-2253	196	9	,	,	PUNCT
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cana-2253	196	11	,	,	PUNCT
cana-2253	196	12	subramani	subramani	PROPN
cana-2253	196	13	,	,	PUNCT
cana-2253	196	14	k.	k.	PROPN
cana-2253	196	15	,	,	PUNCT
cana-2253	196	16	ahmed	ahmed	PROPN
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cana-2253	196	18	a.	a.	PROPN
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cana-2253	196	24	(	(	PUNCT
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cana-2253	196	26	)	)	PUNCT
cana-2253	196	27	.	.	PUNCT
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cana-2253	197	3	data	datum	NOUN
cana-2253	197	4	utilization	utilization	NOUN
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cana-2253	197	8	health	health	NOUN
cana-2253	197	9	management	management	NOUN
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cana-2253	197	12	:	:	PUNCT
cana-2253	197	13	a	a	DET
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cana-2253	198	10	)	)	PUNCT
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cana-2253	198	13	.	.	PUNCT
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cana-2253	199	2	on	on	ADP
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cana-2253	199	6	issn	issn	NOUN
cana-2253	199	7	:	:	PUNCT
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cana-2253	199	12	32	32	NUM
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cana-2253	199	14	.	.	PUNCT
cana-2253	200	1	2s	2s	NUM
cana-2253	200	2	(	(	PUNCT
cana-2253	200	3	2025	2025	NUM
cana-2253	200	4	)	)	PUNCT
cana-2253	200	5	94	94	NUM
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cana-2253	201	1	[	[	X
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cana-2253	201	3	]	]	X
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cana-2253	201	5	,	,	PUNCT
cana-2253	201	6	q.	q.	PROPN
cana-2253	201	7	,	,	PUNCT
cana-2253	201	8	zhou	zhou	PROPN
cana-2253	201	9	,	,	PUNCT
cana-2253	201	10	j.	j.	PROPN
cana-2253	201	11	,	,	PUNCT
cana-2253	201	12	yang	yang	PROPN
cana-2253	201	13	,	,	PUNCT
cana-2253	201	14	z.	z.	PROPN
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cana-2253	201	22	,	,	PUNCT
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cana-2253	202	7	-	-	PUNCT
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cana-2253	203	4	165	165	NUM
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cana-2253	204	5	,	,	PUNCT
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cana-2253	204	16	thusnavis	thusnavi	VERB
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cana-2253	204	28	)	)	PUNCT
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cana-2253	207	18	z.	z.	PROPN
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cana-2253	207	21	,	,	PUNCT
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cana-2253	207	23	,	,	PUNCT
cana-2253	207	24	&	&	CCONJ
cana-2253	207	25	tong	tong	PROPN
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cana-2253	207	27	r.	r.	PROPN
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cana-2253	207	30	)	)	PUNCT
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cana-2253	208	2	:	:	PUNCT
cana-2253	208	3	deep	deep	ADJ
cana-2253	208	4	attributed	attribute	VERB
cana-2253	208	5	embedding	embed	VERB
cana-2253	208	6	based	base	VERB
cana-2253	208	7	multitask	multitask	ADJ
cana-2253	208	8	learning	learning	NOUN
cana-2253	208	9	for	for	ADP
cana-2253	208	10	predicting	predict	VERB
cana-2253	208	11	adverse	adverse	ADJ
cana-2253	208	12	drug	drug	NOUN
cana-2253	208	13	–	–	PUNCT
cana-2253	208	14	drug	drug	NOUN
cana-2253	208	15	interaction	interaction	NOUN
cana-2253	208	16	.	.	PUNCT
cana-2253	209	1	expert	expert	NOUN
cana-2253	209	2	systems	system	NOUN
cana-2253	209	3	with	with	ADP
cana-2253	209	4	applications	application	NOUN
cana-2253	209	5	,	,	PUNCT
cana-2253	209	6	215	215	NUM
cana-2253	209	7	,	,	PUNCT
cana-2253	209	8	119312	119312	NUM
cana-2253	209	9	.	.	PUNCT
cana-2253	210	1	[	[	X
cana-2253	210	2	8	8	NUM
cana-2253	210	3	]	]	X
cana-2253	210	4	camgözlü	camgözlü	NOUN
cana-2253	210	5	,	,	PUNCT
cana-2253	210	6	y.	y.	PROPN
cana-2253	210	7	,	,	PUNCT
cana-2253	210	8	&	&	CCONJ
cana-2253	210	9	kutlu	kutlu	PROPN
cana-2253	210	10	,	,	PUNCT
cana-2253	210	11	y.	y.	PROPN
cana-2253	210	12	(	(	PUNCT
cana-2253	210	13	2023	2023	NUM
cana-2253	210	14	)	)	PUNCT
cana-2253	210	15	.	.	PUNCT
cana-2253	211	1	leaf	leaf	NOUN
cana-2253	211	2	image	image	NOUN
cana-2253	211	3	classification	classification	NOUN
cana-2253	211	4	based	base	VERB
cana-2253	211	5	on	on	ADP
cana-2253	211	6	pre	pre	ADJ
cana-2253	211	7	-	-	ADJ
cana-2253	211	8	trained	train	VERB
cana-2253	211	9	convolutional	convolutional	ADJ
cana-2253	211	10	neural	neural	ADJ
cana-2253	211	11	network	network	NOUN
cana-2253	211	12	models.natural	models.natural	ADJ
cana-2253	211	13	and	and	CCONJ
cana-2253	211	14	engineering	engineering	NOUN
cana-2253	211	15	sciences	science	NOUN
cana-2253	211	16	,	,	PUNCT
cana-2253	211	17	8(3	8(3	NUM
cana-2253	211	18	)	)	PUNCT
cana-2253	211	19	,	,	PUNCT
cana-2253	211	20	214	214	NUM
cana-2253	211	21	-	-	SYM
cana-2253	211	22	232	232	NUM
cana-2253	211	23	.	.	PUNCT
cana-2253	212	1	[	[	X
cana-2253	212	2	9	9	NUM
cana-2253	212	3	]	]	SYM
cana-2253	212	4	han	han	PROPN
cana-2253	212	5	,	,	PUNCT
cana-2253	212	6	c.	c.	PROPN
cana-2253	212	7	d.	d.	PROPN
cana-2253	212	8	,	,	PUNCT
cana-2253	212	9	wang	wang	PROPN
cana-2253	212	10	,	,	PUNCT
cana-2253	212	11	c.	c.	PROPN
cana-2253	212	12	c.	c.	PROPN
cana-2253	212	13	,	,	PUNCT
cana-2253	212	14	huang	huang	PROPN
cana-2253	212	15	,	,	PUNCT
cana-2253	212	16	l.	l.	PROPN
cana-2253	212	17	,	,	PUNCT
cana-2253	212	18	&	&	CCONJ
cana-2253	212	19	chen	chen	PROPN
cana-2253	212	20	,	,	PUNCT
cana-2253	212	21	x.	x.	NOUN
cana-2253	212	22	(	(	PUNCT
cana-2253	212	23	2023	2023	NUM
cana-2253	212	24	)	)	PUNCT
cana-2253	212	25	.	.	PUNCT
cana-2253	212	26	mcff	mcff	NOUN
cana-2253	212	27	-	-	PUNCT
cana-2253	212	28	mtddi	mtddi	NOUN
cana-2253	212	29	:	:	PUNCT
cana-2253	212	30	multi	multi	ADJ
cana-2253	212	31	-	-	ADJ
cana-2253	212	32	channel	channel	ADJ
cana-2253	212	33	feature	feature	NOUN
cana-2253	212	34	fusion	fusion	NOUN
cana-2253	212	35	for	for	ADP
cana-2253	212	36	multityped	multitype	VERB
cana-2253	212	37	drug	drug	NOUN
cana-2253	212	38	–	–	PUNCT
cana-2253	212	39	drug	drug	NOUN
cana-2253	212	40	interaction	interaction	NOUN
cana-2253	212	41	prediction	prediction	NOUN
cana-2253	212	42	.	.	PUNCT
cana-2253	213	1	briefings	briefing	NOUN
cana-2253	213	2	in	in	ADP
cana-2253	213	3	bioinformatics	bioinformatics	NOUN
cana-2253	213	4	,	,	PUNCT
cana-2253	213	5	24(4	24(4	NOUN
cana-2253	213	6	)	)	PUNCT
cana-2253	213	7	.	.	PUNCT
cana-2253	214	1	[	[	X
cana-2253	214	2	10	10	NUM
cana-2253	214	3	]	]	PUNCT
cana-2253	214	4	bobir	bobir	NOUN
cana-2253	214	5	,	,	PUNCT
cana-2253	214	6	a.o	a.o	PROPN
cana-2253	214	7	.	.	PROPN
cana-2253	214	8	,	,	PUNCT
cana-2253	214	9	askariy	askariy	ADJ
cana-2253	214	10	,	,	PUNCT
cana-2253	214	11	m.	m.	NOUN
cana-2253	214	12	,	,	PUNCT
cana-2253	214	13	otabek	otabek	PROPN
cana-2253	214	14	,	,	PUNCT
cana-2253	214	15	y.y	y.y	PROPN
cana-2253	214	16	.	.	PROPN
cana-2253	214	17	,	,	PUNCT
cana-2253	214	18	nodir	nodir	PROPN
cana-2253	214	19	,	,	PUNCT
cana-2253	214	20	r.k	r.k	PROPN
cana-2253	214	21	.	.	PROPN
cana-2253	214	22	,	,	PUNCT
cana-2253	214	23	rakhima	rakhima	PROPN
cana-2253	214	24	,	,	PUNCT
cana-2253	214	25	a.	a.	NOUN
cana-2253	214	26	,	,	PUNCT
cana-2253	214	27	zukhra	zukhra	PROPN
cana-2253	214	28	,	,	PUNCT
cana-2253	214	29	z.y	z.y	PROPN
cana-2253	214	30	.	.	PROPN
cana-2253	214	31	,	,	PUNCT
cana-2253	214	32	sherzod	sherzod	PROPN
cana-2253	214	33	,	,	PUNCT
cana-2253	214	34	a.a	a.a	PROPN
cana-2253	214	35	.	.	PROPN
cana-2253	214	36	(	(	PUNCT
cana-2253	214	37	2024	2024	NUM
cana-2253	214	38	)	)	PUNCT
cana-2253	214	39	.	.	PUNCT
cana-2253	215	1	utilizing	utilize	VERB
cana-2253	215	2	deep	deep	ADJ
cana-2253	215	3	learning	learning	NOUN
cana-2253	215	4	and	and	CCONJ
cana-2253	215	5	the	the	DET
cana-2253	215	6	internet	internet	NOUN
cana-2253	215	7	of	of	ADP
cana-2253	215	8	things	thing	NOUN
cana-2253	215	9	to	to	PART
cana-2253	215	10	monitor	monitor	VERB
cana-2253	215	11	the	the	DET
cana-2253	215	12	health	health	NOUN
cana-2253	215	13	of	of	ADP
cana-2253	215	14	aquatic	aquatic	ADJ
cana-2253	215	15	ecosystems	ecosystem	NOUN
cana-2253	215	16	to	to	PART
cana-2253	215	17	conserve	conserve	VERB
cana-2253	215	18	biodiversity	biodiversity	NOUN
cana-2253	215	19	.	.	PUNCT
cana-2253	216	1	natural	natural	ADJ
cana-2253	216	2	and	and	CCONJ
cana-2253	216	3	engineering	engineering	NOUN
cana-2253	216	4	sciences	science	NOUN
cana-2253	216	5	,	,	PUNCT
cana-2253	216	6	9(1	9(1	NUM
cana-2253	216	7	)	)	PUNCT
cana-2253	216	8	,	,	PUNCT
cana-2253	216	9	72	72	NUM
cana-2253	216	10	-	-	SYM
cana-2253	216	11	83	83	NUM
cana-2253	216	12	.	.	PUNCT
cana-2253	217	1	[	[	X
cana-2253	217	2	11	11	NUM
cana-2253	217	3	]	]	X
cana-2253	217	4	khan	khan	PROPN
cana-2253	217	5	,	,	PUNCT
cana-2253	217	6	mohammad	mohammad	PROPN
cana-2253	217	7	nazrul	nazrul	PROPN
cana-2253	217	8	islam	islam	PROPN
cana-2253	217	9	,	,	PUNCT
cana-2253	217	10	et	et	PROPN
cana-2253	217	11	al	al	PROPN
cana-2253	217	12	.	.	PUNCT
cana-2253	218	1	"	"	PUNCT
cana-2253	218	2	geometric	geometric	ADJ
cana-2253	218	3	properties	property	NOUN
cana-2253	218	4	of	of	ADP
cana-2253	218	5	submanifolds	submanifold	NOUN
cana-2253	218	6	of	of	ADP
cana-2253	218	7	a	a	DET
cana-2253	218	8	riemannian	riemannian	ADJ
cana-2253	218	9	manifold	manifold	NOUN
cana-2253	218	10	in	in	ADP
cana-2253	218	11	tangent	tangent	ADJ
cana-2253	218	12	bundles	bundle	NOUN
cana-2253	218	13	.	.	PUNCT
cana-2253	218	14	"	"	PUNCT
cana-2253	218	15	results	result	NOUN
cana-2253	218	16	in	in	ADP
cana-2253	218	17	nonlinear	nonlinear	ADJ
cana-2253	218	18	analysis	analysis	NOUN
cana-2253	218	19	,	,	PUNCT
cana-2253	218	20	vol	vol	NOUN
cana-2253	218	21	.	.	PROPN
cana-2253	219	1	7	7	NUM
cana-2253	219	2	,	,	PUNCT
cana-2253	219	3	no	no	INTJ
cana-2253	219	4	.	.	NOUN
cana-2253	219	5	2	2	NUM
cana-2253	219	6	,	,	PUNCT
cana-2253	219	7	2024	2024	NUM
cana-2253	219	8	,	,	PUNCT
cana-2253	219	9	pp	pp	ADV
cana-2253	219	10	.	.	PUNCT
cana-2253	220	1	140–153	140–153	NUM
cana-2253	220	2	.	.	PUNCT
cana-2253	221	1	[	[	X
cana-2253	221	2	12	12	NUM
cana-2253	221	3	]	]	X
cana-2253	221	4	mansouri	mansouri	PROPN
cana-2253	221	5	,	,	PUNCT
cana-2253	221	6	s.	s.	PROPN
cana-2253	221	7	(	(	PUNCT
cana-2253	221	8	2023	2023	NUM
cana-2253	221	9	)	)	PUNCT
cana-2253	221	10	.	.	PUNCT
cana-2253	222	1	application	application	NOUN
cana-2253	222	2	of	of	ADP
cana-2253	222	3	neural	neural	ADJ
cana-2253	222	4	networks	network	NOUN
cana-2253	222	5	in	in	ADP
cana-2253	222	6	the	the	DET
cana-2253	222	7	medical	medical	ADJ
cana-2253	222	8	field	field	NOUN
cana-2253	222	9	.	.	PUNCT
cana-2253	223	1	journal	journal	NOUN
cana-2253	223	2	of	of	ADP
cana-2253	223	3	wireless	wireless	ADJ
cana-2253	223	4	mobile	mobile	ADJ
cana-2253	223	5	networks	network	NOUN
cana-2253	223	6	,	,	PUNCT
cana-2253	223	7	ubiquitous	ubiquitous	ADJ
cana-2253	223	8	computing	computing	NOUN
cana-2253	223	9	,	,	PUNCT
cana-2253	223	10	and	and	CCONJ
cana-2253	223	11	dependable	dependable	ADJ
cana-2253	223	12	applications	application	NOUN
cana-2253	223	13	,	,	PUNCT
cana-2253	223	14	14(1	14(1	NUM
cana-2253	223	15	)	)	PUNCT
cana-2253	223	16	,	,	PUNCT
cana-2253	223	17	69	69	NUM
cana-2253	223	18	-	-	SYM
cana-2253	223	19	81	81	NUM
cana-2253	223	20	.	.	PUNCT
cana-2253	224	1	[	[	X
cana-2253	224	2	13	13	NUM
cana-2253	224	3	]	]	X
cana-2253	224	4	lu	lu	PROPN
cana-2253	224	5	,	,	PUNCT
cana-2253	224	6	z.	z.	PROPN
cana-2253	224	7	,	,	PUNCT
cana-2253	224	8	suzuki	suzuki	PROPN
cana-2253	224	9	,	,	PUNCT
cana-2253	224	10	a.	a.	PROPN
cana-2253	224	11	,	,	PUNCT
cana-2253	224	12	&	&	CCONJ
cana-2253	224	13	wang	wang	PROPN
cana-2253	224	14	,	,	PUNCT
cana-2253	224	15	d.	d.	PROPN
cana-2253	224	16	(	(	PUNCT
cana-2253	224	17	2023	2023	NUM
cana-2253	224	18	)	)	PUNCT
cana-2253	224	19	.	.	PUNCT
cana-2253	224	20	statistical	statistical	ADJ
cana-2253	224	21	methods	method	NOUN
cana-2253	224	22	for	for	ADP
cana-2253	224	23	exploring	explore	VERB
cana-2253	224	24	spontaneous	spontaneous	ADJ
cana-2253	224	25	adverse	adverse	ADJ
cana-2253	224	26	event	event	NOUN
cana-2253	224	27	reporting	report	VERB
cana-2253	224	28	databases	database	NOUN
cana-2253	224	29	for	for	ADP
cana-2253	224	30	drug	drug	NOUN
cana-2253	224	31	-	-	PUNCT
cana-2253	224	32	host	host	NOUN
cana-2253	224	33	factor	factor	NOUN
cana-2253	224	34	interactions	interaction	NOUN
cana-2253	224	35	.	.	PUNCT
cana-2253	225	1	bmc	bmc	PROPN
cana-2253	225	2	medical	medical	ADJ
cana-2253	225	3	research	research	NOUN
cana-2253	225	4	methodology	methodology	NOUN
cana-2253	225	5	,	,	PUNCT
cana-2253	225	6	23(1	23(1	NUM
cana-2253	225	7	)	)	PUNCT
cana-2253	225	8	,	,	PUNCT
cana-2253	225	9	71	71	NUM
cana-2253	225	10	.	.	PUNCT
cana-2253	226	1	[	[	X
cana-2253	226	2	14	14	NUM
cana-2253	226	3	]	]	X
cana-2253	226	4	malathi	malathi	PROPN
cana-2253	226	5	,	,	PUNCT
cana-2253	226	6	k.	k.	PROPN
cana-2253	226	7	,	,	PUNCT
cana-2253	226	8	shruthi	shruthi	PROPN
cana-2253	226	9	,	,	PUNCT
cana-2253	226	10	s.n	s.n	PROPN
cana-2253	226	11	.	.	PROPN
cana-2253	226	12	,	,	PUNCT
cana-2253	226	13	madhumitha	madhumitha	NOUN
cana-2253	226	14	,	,	PUNCT
cana-2253	226	15	n.	n.	NOUN
cana-2253	226	16	,	,	PUNCT
cana-2253	226	17	sreelakshmi	sreelakshmi	NOUN
cana-2253	226	18	,	,	PUNCT
cana-2253	226	19	s.	s.	PROPN
cana-2253	226	20	,	,	PUNCT
cana-2253	226	21	sathya	sathya	PROPN
cana-2253	226	22	,	,	PUNCT
cana-2253	226	23	u.	u.	PROPN
cana-2253	226	24	,	,	PUNCT
cana-2253	226	25	&	&	CCONJ
cana-2253	226	26	sangeetha	sangeetha	PROPN
cana-2253	226	27	,	,	PUNCT
cana-2253	226	28	p.m.	p.m.	NOUN
cana-2253	226	29	(	(	PUNCT
cana-2253	226	30	2024	2024	NUM
cana-2253	226	31	)	)	PUNCT
cana-2253	226	32	.	.	PUNCT
cana-2253	227	1	medical	medical	ADJ
cana-2253	227	2	data	datum	NOUN
cana-2253	227	3	integration	integration	NOUN
cana-2253	227	4	and	and	CCONJ
cana-2253	227	5	interoperability	interoperability	NOUN
cana-2253	227	6	through	through	ADP
cana-2253	227	7	remote	remote	ADJ
cana-2253	227	8	monitoring	monitoring	NOUN
cana-2253	227	9	of	of	ADP
cana-2253	227	10	healthcare	healthcare	NOUN
cana-2253	227	11	devices	device	NOUN
cana-2253	227	12	.	.	PUNCT
cana-2253	228	1	journal	journal	PROPN
cana-2253	228	2	of	of	ADP
cana-2253	228	3	wireless	wireless	ADJ
cana-2253	228	4	mobile	mobile	ADJ
cana-2253	228	5	networks	network	NOUN
cana-2253	228	6	,	,	PUNCT
cana-2253	228	7	ubiquitous	ubiquitous	ADJ
cana-2253	228	8	computing	computing	NOUN
cana-2253	228	9	,	,	PUNCT
cana-2253	228	10	and	and	CCONJ
cana-2253	228	11	dependable	dependable	ADJ
cana-2253	228	12	applications	application	NOUN
cana-2253	228	13	(	(	PUNCT
cana-2253	228	14	jowua	jowua	ADJ
cana-2253	228	15	)	)	PUNCT
cana-2253	228	16	,	,	PUNCT
cana-2253	228	17	15(2	15(2	NUM
cana-2253	228	18	)	)	PUNCT
cana-2253	228	19	,	,	PUNCT
cana-2253	228	20	60	60	NUM
cana-2253	228	21	-	-	SYM
cana-2253	228	22	72	72	NUM
cana-2253	228	23	.	.	PUNCT
cana-2253	229	1	https://doi.org/10.58346/jowua.2024.i2.005	https://doi.org/10.58346/jowua.2024.i2.005	ADJ
cana-2253	230	1	[	[	X
cana-2253	230	2	15	15	NUM
cana-2253	230	3	]	]	X
cana-2253	230	4	souza	souza	PROPN
cana-2253	230	5	-	-	PUNCT
cana-2253	230	6	peres	peres	PROPN
cana-2253	230	7	,	,	PUNCT
cana-2253	230	8	j.	j.	PROPN
cana-2253	230	9	v.	v.	PROPN
cana-2253	230	10	,	,	PUNCT
cana-2253	230	11	flores	flore	NOUN
cana-2253	230	12	,	,	PUNCT
cana-2253	230	13	k.	k.	PROPN
cana-2253	230	14	,	,	PUNCT
cana-2253	230	15	umloff	umloff	PROPN
cana-2253	230	16	,	,	PUNCT
cana-2253	230	17	b.	b.	PROPN
cana-2253	230	18	,	,	PUNCT
cana-2253	230	19	heinan	heinan	PROPN
cana-2253	230	20	,	,	PUNCT
cana-2253	230	21	m.	m.	NOUN
cana-2253	230	22	,	,	PUNCT
cana-2253	230	23	herscu	herscu	NOUN
cana-2253	230	24	,	,	PUNCT
cana-2253	230	25	p.	p.	PROPN
cana-2253	230	26	,	,	PUNCT
cana-2253	230	27	&	&	CCONJ
cana-2253	230	28	babos	babos	PROPN
cana-2253	230	29	,	,	PUNCT
cana-2253	230	30	m.	m.	PROPN
cana-2253	230	31	b.	b.	PROPN
cana-2253	230	32	(	(	PUNCT
cana-2253	230	33	2023	2023	NUM
cana-2253	230	34	)	)	PUNCT
cana-2253	230	35	.	.	PUNCT
cana-2253	231	1	everyday	everyday	ADJ
cana-2253	231	2	evaluation	evaluation	NOUN
cana-2253	231	3	of	of	ADP
cana-2253	231	4	herb	herb	NOUN
cana-2253	231	5	/	/	SYM
cana-2253	231	6	dietary	dietary	ADJ
cana-2253	231	7	supplement	supplement	NOUN
cana-2253	231	8	–	–	PUNCT
cana-2253	231	9	drug	drug	NOUN
cana-2253	231	10	interaction	interaction	NOUN
cana-2253	231	11	:	:	PUNCT
cana-2253	231	12	a	a	DET
cana-2253	231	13	pilot	pilot	NOUN
cana-2253	231	14	study	study	NOUN
cana-2253	231	15	.	.	PUNCT
cana-2253	232	1	medicines	medicine	NOUN
cana-2253	232	2	,	,	PUNCT
cana-2253	232	3	10(3	10(3	NUM
cana-2253	232	4	)	)	PUNCT
cana-2253	232	5	,	,	PUNCT
cana-2253	232	6	20	20	NUM
cana-2253	232	7	.	.	PUNCT
cana-2253	233	1	[	[	X
cana-2253	233	2	16	16	NUM
cana-2253	233	3	]	]	X
cana-2253	233	4	cina	cina	PROPN
cana-2253	233	5	,	,	PUNCT
cana-2253	233	6	m.	m.	NOUN
cana-2253	233	7	,	,	PUNCT
cana-2253	233	8	&	&	CCONJ
cana-2253	233	9	asha	asha	PROPN
cana-2253	233	10	,	,	PUNCT
cana-2253	233	11	p.	p.	PROPN
cana-2253	233	12	(	(	PUNCT
cana-2253	233	13	2024	2024	NUM
cana-2253	233	14	)	)	PUNCT
cana-2253	233	15	.	.	PUNCT
cana-2253	234	1	fedprox	fedprox	NOUN
cana-2253	234	2	:	:	PUNCT
cana-2253	234	3	fedsplit	fedsplit	NOUN
cana-2253	234	4	algorithm	algorithm	NOUN
cana-2253	234	5	based	base	VERB
cana-2253	234	6	federated	federated	ADJ
cana-2253	234	7	learning	learning	NOUN
cana-2253	234	8	for	for	ADP
cana-2253	234	9	statistical	statistical	ADJ
cana-2253	234	10	and	and	CCONJ
cana-2253	234	11	system	system	NOUN
cana-2253	234	12	heterogeneity	heterogeneity	NOUN
cana-2253	234	13	in	in	ADP
cana-2253	234	14	medical	medical	ADJ
cana-2253	234	15	data	datum	NOUN
cana-2253	234	16	communication	communication	NOUN
cana-2253	234	17	.	.	PUNCT
cana-2253	235	1	journal	journal	PROPN
cana-2253	235	2	of	of	ADP
cana-2253	235	3	internet	internet	NOUN
cana-2253	235	4	services	service	NOUN
cana-2253	235	5	and	and	CCONJ
cana-2253	235	6	information	information	NOUN
cana-2253	235	7	security	security	NOUN
cana-2253	235	8	,	,	PUNCT
cana-2253	235	9	14(3	14(3	NUM
cana-2253	235	10	)	)	PUNCT
cana-2253	235	11	,	,	PUNCT
cana-2253	235	12	353370	353370	NUM
cana-2253	235	13	.	.	PUNCT
cana-2253	236	1	[	[	X
cana-2253	236	2	17	17	NUM
cana-2253	236	3	]	]	X
cana-2253	236	4	sánchez	sánchez	NOUN
cana-2253	236	5	-	-	PUNCT
cana-2253	236	6	valle	valle	NOUN
cana-2253	236	7	,	,	PUNCT
cana-2253	236	8	j.	j.	PROPN
cana-2253	236	9	,	,	PUNCT
cana-2253	236	10	correia	correia	PROPN
cana-2253	236	11	,	,	PUNCT
cana-2253	236	12	r.	r.	PROPN
cana-2253	236	13	b.	b.	PROPN
cana-2253	236	14	,	,	PUNCT
cana-2253	236	15	camacho	camacho	PROPN
cana-2253	236	16	-	-	PUNCT
cana-2253	236	17	artacho	artacho	NOUN
cana-2253	236	18	,	,	PUNCT
cana-2253	236	19	m.	m.	NOUN
cana-2253	236	20	,	,	PUNCT
cana-2253	236	21	lepore	lepore	PROPN
cana-2253	236	22	,	,	PUNCT
cana-2253	236	23	r.	r.	PROPN
cana-2253	236	24	,	,	PUNCT
cana-2253	236	25	mattos	mattos	NOUN
cana-2253	236	26	,	,	PUNCT
cana-2253	236	27	m.	m.	NOUN
cana-2253	236	28	m.	m.	NOUN
cana-2253	236	29	,	,	PUNCT
cana-2253	236	30	rocha	rocha	PROPN
cana-2253	236	31	,	,	PUNCT
cana-2253	236	32	l.	l.	PROPN
cana-2253	236	33	m.	m.	PROPN
cana-2253	236	34	,	,	PUNCT
cana-2253	236	35	&	&	CCONJ
cana-2253	236	36	valencia	valencia	PROPN
cana-2253	236	37	,	,	PUNCT
cana-2253	236	38	a.	a.	NOUN
cana-2253	236	39	(	(	PUNCT
cana-2253	236	40	2024	2024	NUM
cana-2253	236	41	)	)	PUNCT
cana-2253	236	42	.	.	PUNCT
cana-2253	237	1	prevalence	prevalence	NOUN
cana-2253	237	2	and	and	CCONJ
cana-2253	237	3	differences	difference	NOUN
cana-2253	237	4	in	in	ADP
cana-2253	237	5	the	the	DET
cana-2253	237	6	co	co	NOUN
cana-2253	237	7	-	-	NOUN
cana-2253	237	8	administration	administration	NOUN
cana-2253	237	9	of	of	ADP
cana-2253	237	10	drugs	drug	NOUN
cana-2253	237	11	known	know	VERB
cana-2253	237	12	to	to	PART
cana-2253	237	13	interact	interact	VERB
cana-2253	237	14	:	:	PUNCT
cana-2253	237	15	an	an	DET
cana-2253	237	16	analysis	analysis	NOUN
cana-2253	237	17	of	of	ADP
cana-2253	237	18	three	three	NUM
cana-2253	237	19	distinct	distinct	ADJ
cana-2253	237	20	and	and	CCONJ
cana-2253	237	21	large	large	ADJ
cana-2253	237	22	populations	population	NOUN
cana-2253	237	23	.	.	PUNCT
cana-2253	238	1	bmc	bmc	ADJ
cana-2253	238	2	medicine	medicine	NOUN
cana-2253	238	3	,	,	PUNCT
cana-2253	238	4	22(1	22(1	NUM
cana-2253	238	5	)	)	PUNCT
cana-2253	238	6	,	,	PUNCT
cana-2253	238	7	166	166	NUM
cana-2253	238	8	.	.	PUNCT
cana-2253	239	1	[	[	X
cana-2253	239	2	18	18	NUM
cana-2253	239	3	]	]	X
cana-2253	239	4	kodric	kodric	PROPN
cana-2253	239	5	,	,	PUNCT
cana-2253	239	6	z.	z.	PROPN
cana-2253	239	7	,	,	PUNCT
cana-2253	239	8	vrhovec	vrhovec	PROPN
cana-2253	239	9	,	,	PUNCT
cana-2253	239	10	s.	s.	PROPN
cana-2253	239	11	,	,	PUNCT
cana-2253	239	12	&	&	CCONJ
cana-2253	239	13	jelovcan	jelovcan	PROPN
cana-2253	239	14	,	,	PUNCT
cana-2253	239	15	l.	l.	PROPN
cana-2253	239	16	(	(	PUNCT
cana-2253	239	17	2021	2021	NUM
cana-2253	239	18	)	)	PUNCT
cana-2253	239	19	.	.	PUNCT
cana-2253	240	1	securing	secure	VERB
cana-2253	240	2	edge	edge	NOUN
cana-2253	240	3	-	-	PUNCT
cana-2253	240	4	enabled	enable	VERB
cana-2253	240	5	smart	smart	ADJ
cana-2253	240	6	healthcare	healthcare	NOUN
cana-2253	240	7	systems	system	NOUN
cana-2253	240	8	with	with	ADP
cana-2253	240	9	blockchain	blockchain	PROPN
cana-2253	240	10	:	:	PUNCT
cana-2253	240	11	a	a	DET
cana-2253	240	12	systematic	systematic	ADJ
cana-2253	240	13	literature	literature	PROPN
cana-2253	240	14	review	review	PROPN
cana-2253	240	15	.	.	PUNCT
cana-2253	241	1	journal	journal	PROPN
cana-2253	241	2	of	of	ADP
cana-2253	241	3	internet	internet	NOUN
cana-2253	241	4	services	service	NOUN
cana-2253	241	5	and	and	CCONJ
cana-2253	241	6	information	information	NOUN
cana-2253	241	7	security	security	NOUN
cana-2253	241	8	,	,	PUNCT
cana-2253	241	9	11(4	11(4	NUM
cana-2253	241	10	)	)	PUNCT
cana-2253	241	11	,	,	PUNCT
cana-2253	241	12	19	19	NUM
cana-2253	241	13	-	-	SYM
cana-2253	241	14	32	32	NUM
cana-2253	241	15	.	.	PUNCT
cana-2253	242	1	[	[	X
cana-2253	242	2	19	19	NUM
cana-2253	242	3	]	]	X
cana-2253	242	4	gill	gill	PROPN
cana-2253	242	5	,	,	PUNCT
cana-2253	242	6	j.	j.	PROPN
cana-2253	242	7	,	,	PUNCT
cana-2253	242	8	moullet	moullet	PROPN
cana-2253	242	9	,	,	PUNCT
cana-2253	242	10	m.	m.	NOUN
cana-2253	242	11	,	,	PUNCT
cana-2253	242	12	martinsson	martinsson	NOUN
cana-2253	242	13	,	,	PUNCT
cana-2253	242	14	a.	a.	NOUN
cana-2253	242	15	,	,	PUNCT
cana-2253	242	16	miljković	miljković	PROPN
cana-2253	242	17	,	,	PUNCT
cana-2253	242	18	f.	f.	PROPN
cana-2253	242	19	,	,	PUNCT
cana-2253	242	20	williamson	williamson	PROPN
cana-2253	242	21	,	,	PUNCT
cana-2253	242	22	b.	b.	PROPN
cana-2253	242	23	,	,	PUNCT
cana-2253	242	24	arends	arend	NOUN
cana-2253	242	25	,	,	PUNCT
cana-2253	242	26	r.	r.	PROPN
cana-2253	242	27	h.	h.	PROPN
cana-2253	242	28	,	,	PUNCT
cana-2253	242	29	&	&	CCONJ
cana-2253	242	30	pilla	pilla	PROPN
cana-2253	242	31	reddy	reddy	PROPN
cana-2253	242	32	,	,	PUNCT
cana-2253	242	33	v.	v.	PROPN
cana-2253	242	34	(	(	PUNCT
cana-2253	242	35	2023	2023	NUM
cana-2253	242	36	)	)	PUNCT
cana-2253	242	37	.	.	PUNCT
cana-2253	243	1	evaluating	evaluate	VERB
cana-2253	243	2	the	the	DET
cana-2253	243	3	performance	performance	NOUN
cana-2253	243	4	of	of	ADP
cana-2253	243	5	machine‐learning	machine‐learne	VERB
cana-2253	243	6	regression	regression	NOUN
cana-2253	243	7	models	model	NOUN
cana-2253	243	8	for	for	ADP
cana-2253	243	9	pharmacokinetic	pharmacokinetic	ADJ
cana-2253	243	10	drug	drug	NOUN
cana-2253	243	11	–	–	PUNCT
cana-2253	243	12	drug	drug	NOUN
cana-2253	243	13	interactions	interaction	NOUN
cana-2253	243	14	.	.	PUNCT
cana-2253	244	1	cpt	cpt	NOUN
cana-2253	244	2	:	:	PUNCT
cana-2253	244	3	pharmacometrics	pharmacometrics	PROPN
cana-2253	244	4	&	&	CCONJ
cana-2253	244	5	systems	systems	PROPN
cana-2253	244	6	pharmacology	pharmacology	NOUN
cana-2253	244	7	,	,	PUNCT
cana-2253	244	8	12(1	12(1	NUM
cana-2253	244	9	)	)	PUNCT
cana-2253	244	10	,	,	PUNCT
cana-2253	244	11	122	122	NUM
cana-2253	244	12	-	-	SYM
cana-2253	244	13	134	134	NUM
cana-2253	244	14	.	.	PUNCT
cana-2253	245	1	[	[	X
cana-2253	245	2	20	20	NUM
cana-2253	245	3	]	]	X
cana-2253	245	4	gupta	gupta	PROPN
cana-2253	245	5	,	,	PUNCT
cana-2253	245	6	p.	p.	PROPN
cana-2253	245	7	,	,	PUNCT
cana-2253	245	8	majumdar	majumdar	PROPN
cana-2253	245	9	,	,	PUNCT
cana-2253	245	10	a.	a.	PROPN
cana-2253	245	11	,	,	PUNCT
cana-2253	245	12	chouzenoux	chouzenoux	VERB
cana-2253	245	13	,	,	PUNCT
cana-2253	245	14	e.	e.	PROPN
cana-2253	245	15	,	,	PUNCT
cana-2253	245	16	&	&	CCONJ
cana-2253	245	17	chierchia	chierchia	PROPN
cana-2253	245	18	,	,	PUNCT
cana-2253	245	19	g.	g.	PROPN
cana-2253	245	20	(	(	PUNCT
cana-2253	245	21	2023	2023	NUM
cana-2253	245	22	)	)	PUNCT
cana-2253	245	23	.	.	PUNCT
cana-2253	246	1	decondffuse	decondffuse	PROPN
cana-2253	246	2	:	:	PUNCT
cana-2253	246	3	predicting	predict	VERB
cana-2253	246	4	drug	drug	NOUN
cana-2253	246	5	–	–	PUNCT
cana-2253	246	6	drug	drug	NOUN
cana-2253	246	7	interaction	interaction	NOUN
cana-2253	246	8	using	use	VERB
cana-2253	246	9	joint	joint	ADJ
cana-2253	246	10	deep	deep	ADJ
cana-2253	246	11	convolutional	convolutional	ADJ
cana-2253	246	12	transform	transform	NOUN
cana-2253	246	13	learning	learning	NOUN
cana-2253	246	14	and	and	CCONJ
cana-2253	246	15	decision	decision	NOUN
cana-2253	246	16	forest	forest	NOUN
cana-2253	246	17	fusion	fusion	NOUN
cana-2253	246	18	framework	framework	NOUN
cana-2253	246	19	.	.	PUNCT
cana-2253	247	1	expert	expert	NOUN
cana-2253	247	2	systems	system	NOUN
cana-2253	247	3	with	with	ADP
cana-2253	247	4	applications	application	NOUN
cana-2253	247	5	,	,	PUNCT
cana-2253	247	6	227	227	NUM
cana-2253	247	7	,	,	PUNCT
cana-2253	247	8	120238	120238	NUM
cana-2253	247	9	.	.	PUNCT
cana-2253	248	1	[	[	X
cana-2253	248	2	21	21	NUM
cana-2253	248	3	]	]	X
cana-2253	248	4	elamalki	elamalki	ADJ
cana-2253	248	5	,	,	PUNCT
cana-2253	248	6	driss	driss	PROPN
cana-2253	248	7	,	,	PUNCT
cana-2253	248	8	abdelilah	abdelilah	PROPN
cana-2253	248	9	kaddar	kaddar	PROPN
cana-2253	248	10	,	,	PUNCT
cana-2253	248	11	and	and	CCONJ
cana-2253	248	12	nadia	nadia	PROPN
cana-2253	248	13	beniich	beniich	PROPN
cana-2253	248	14	.	.	PUNCT
cana-2253	249	1	"	"	PUNCT
cana-2253	249	2	stability	stability	NOUN
cana-2253	249	3	of	of	ADP
cana-2253	249	4	an	an	DET
cana-2253	249	5	unemployment	unemployment	NOUN
cana-2253	249	6	model	model	NOUN
cana-2253	249	7	with	with	ADP
cana-2253	249	8	a	a	DET
cana-2253	249	9	non	non	ADJ
cana-2253	249	10	-	-	ADJ
cana-2253	249	11	linear	linear	ADJ
cana-2253	249	12	job	job	NOUN
cana-2253	249	13	creation	creation	NOUN
cana-2253	249	14	.	.	PUNCT
cana-2253	249	15	"	"	PUNCT
cana-2253	250	1	results	result	NOUN
cana-2253	250	2	in	in	ADP
cana-2253	250	3	nonlinear	nonlinear	ADJ
cana-2253	250	4	analysis	analysis	NOUN
cana-2253	250	5	,	,	PUNCT
cana-2253	250	6	vol	vol	NOUN
cana-2253	250	7	.	.	PROPN
cana-2253	251	1	7	7	NUM
cana-2253	251	2	,	,	PUNCT
cana-2253	251	3	no	no	INTJ
cana-2253	251	4	.	.	NOUN
cana-2253	251	5	2	2	NUM
cana-2253	251	6	,	,	PUNCT
cana-2253	251	7	2024	2024	NUM
cana-2253	251	8	,	,	PUNCT
cana-2253	251	9	pp	pp	ADJ
cana-2253	251	10	.	.	PUNCT
cana-2253	252	1	127–139	127–139	NUM
cana-2253	252	2	.	.	PUNCT