id	sid	tid	token	lemma	pos
cana-3242	1	1	communications	communication	NOUN
cana-3242	1	2	on	on	ADP
cana-3242	1	3	applied	apply	VERB
cana-3242	1	4	nonlinear	nonlinear	ADJ
cana-3242	1	5	analysis	analysis	NOUN
cana-3242	1	6	issn	issn	NOUN
cana-3242	1	7	:	:	PUNCT
cana-3242	1	8	1074	1074	NUM
cana-3242	1	9	-	-	PUNCT
cana-3242	1	10	133x	133x	NUM
cana-3242	1	11	vol	vol	NOUN
cana-3242	1	12	32	32	NUM
cana-3242	1	13	no	no	NOUN
cana-3242	1	14	.	.	PUNCT
cana-3242	2	1	6s	6s	NUM
cana-3242	2	2	(	(	PUNCT
cana-3242	2	3	2025	2025	NUM
cana-3242	2	4	)	)	PUNCT
cana-3242	2	5	39	39	NUM
cana-3242	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	2	7	a	a	DET
cana-3242	2	8	multimodal	multimodal	NOUN
cana-3242	2	9	and	and	CCONJ
cana-3242	2	10	interpretable	interpretable	ADJ
cana-3242	2	11	deep	deep	ADJ
cana-3242	2	12	learning	learning	NOUN
cana-3242	2	13	framework	framework	NOUN
cana-3242	2	14	for	for	ADP
cana-3242	2	15	early	early	ADJ
cana-3242	2	16	detection	detection	NOUN
cana-3242	2	17	of	of	ADP
cana-3242	2	18	blood	blood	NOUN
cana-3242	2	19	cancer	cancer	NOUN
cana-3242	2	20	using	use	VERB
cana-3242	2	21	clinical	clinical	ADJ
cana-3242	2	22	data	datum	NOUN
cana-3242	2	23	g.	g.	PROPN
cana-3242	2	24	chinna	chinna	PROPN
cana-3242	2	25	pullaiah*1	pullaiah*1	PROPN
cana-3242	2	26	,	,	PUNCT
cana-3242	2	27	dr	dr	PROPN
cana-3242	2	28	.	.	PROPN
cana-3242	2	29	p.m.	p.m.	PROPN
cana-3242	3	1	ashok	ashok	PROPN
cana-3242	3	2	kumar2	kumar2	PROPN
cana-3242	4	1	*	*	PUNCT
cana-3242	4	2	1department	1department	NUM
cana-3242	4	3	of	of	ADP
cana-3242	4	4	computer	computer	NOUN
cana-3242	4	5	science	science	NOUN
cana-3242	4	6	and	and	CCONJ
cana-3242	4	7	engineering	engineering	NOUN
cana-3242	4	8	,	,	PUNCT
cana-3242	4	9	koneru	koneru	PROPN
cana-3242	4	10	lakshmaiah	lakshmaiah	PROPN
cana-3242	4	11	education	education	PROPN
cana-3242	4	12	foundation	foundation	PROPN
cana-3242	4	13	,	,	PUNCT
cana-3242	4	14	vaddeswaram	vaddeswaram	PROPN
cana-3242	4	15	,	,	PUNCT
cana-3242	4	16	guntur	guntur	PROPN
cana-3242	4	17	,	,	PUNCT
cana-3242	4	18	andhra	andhra	PROPN
cana-3242	4	19	pradesh	pradesh	PROPN
cana-3242	4	20	,	,	PUNCT
cana-3242	4	21	india	india	PROPN
cana-3242	4	22	–	–	PUNCT
cana-3242	4	23	522302	522302	NUM
cana-3242	4	24	.	.	PUNCT
cana-3242	5	1	email	email	NOUN
cana-3242	5	2	:	:	PUNCT
cana-3242	6	1	pullaiahgcp@gmail.com	pullaiahgcp@gmail.com	X
cana-3242	6	2	2dr	2dr	ADJ
cana-3242	6	3	.	.	PUNCT
cana-3242	7	1	p.m.	p.m.	PROPN
cana-3242	7	2	ashok	ashok	PROPN
cana-3242	7	3	kumar	kumar	PROPN
cana-3242	7	4	,	,	PUNCT
cana-3242	7	5	department	department	NOUN
cana-3242	7	6	of	of	ADP
cana-3242	7	7	computer	computer	NOUN
cana-3242	7	8	science	science	NOUN
cana-3242	7	9	and	and	CCONJ
cana-3242	7	10	engineering	engineering	NOUN
cana-3242	7	11	,	,	PUNCT
cana-3242	7	12	koneru	koneru	PROPN
cana-3242	7	13	lakshmaiah	lakshmaiah	PROPN
cana-3242	7	14	education	education	PROPN
cana-3242	7	15	foundation	foundation	PROPN
cana-3242	7	16	,	,	PUNCT
cana-3242	7	17	vaddeswaram	vaddeswaram	PROPN
cana-3242	7	18	,	,	PUNCT
cana-3242	7	19	guntur	guntur	PROPN
cana-3242	7	20	,	,	PUNCT
cana-3242	7	21	andhra	andhra	PROPN
cana-3242	7	22	pradesh	pradesh	PROPN
cana-3242	7	23	,	,	PUNCT
cana-3242	7	24	india	india	PROPN
cana-3242	7	25	–	–	PUNCT
cana-3242	7	26	522302	522302	NUM
cana-3242	7	27	.	.	PUNCT
cana-3242	8	1	email	email	NOUN
cana-3242	8	2	:	:	PUNCT
cana-3242	8	3	pmashokk@gmail.com	pmashokk@gmail.com	X
cana-3242	9	1	article	article	NOUN
cana-3242	9	2	history	history	NOUN
cana-3242	9	3	:	:	PUNCT
cana-3242	9	4	received	receive	VERB
cana-3242	9	5	:	:	PUNCT
cana-3242	9	6	14	14	NUM
cana-3242	9	7	-	-	SYM
cana-3242	9	8	10	10	NUM
cana-3242	9	9	-	-	PUNCT
cana-3242	9	10	2024	2024	NUM
cana-3242	9	11	revised	revise	VERB
cana-3242	9	12	:	:	PUNCT
cana-3242	9	13	29	29	NUM
cana-3242	9	14	-	-	SYM
cana-3242	9	15	11	11	NUM
cana-3242	9	16	-	-	PUNCT
cana-3242	9	17	2024	2024	NUM
cana-3242	9	18	accepted	accept	VERB
cana-3242	9	19	:	:	PUNCT
cana-3242	9	20	10	10	NUM
cana-3242	9	21	-	-	SYM
cana-3242	9	22	12	12	NUM
cana-3242	9	23	-	-	PUNCT
cana-3242	9	24	2024	2024	NUM
cana-3242	9	25	abstract	abstract	NOUN
cana-3242	9	26	:	:	PUNCT
cana-3242	9	27	diagnosing	diagnose	VERB
cana-3242	9	28	blood	blood	NOUN
cana-3242	9	29	cancer	cancer	NOUN
cana-3242	9	30	at	at	ADP
cana-3242	9	31	early	early	ADJ
cana-3242	9	32	stages	stage	NOUN
cana-3242	9	33	presents	present	VERB
cana-3242	9	34	challenges	challenge	NOUN
cana-3242	9	35	due	due	ADJ
cana-3242	9	36	to	to	ADP
cana-3242	9	37	limitations	limitation	NOUN
cana-3242	9	38	in	in	ADP
cana-3242	9	39	methods	method	NOUN
cana-3242	9	40	that	that	PRON
cana-3242	9	41	rely	rely	VERB
cana-3242	9	42	on	on	ADP
cana-3242	9	43	single	single	ADJ
cana-3242	9	44	data	datum	NOUN
cana-3242	9	45	sources	source	NOUN
cana-3242	9	46	,	,	PUNCT
cana-3242	9	47	which	which	PRON
cana-3242	9	48	often	often	ADV
cana-3242	9	49	fail	fail	VERB
cana-3242	9	50	to	to	PART
cana-3242	9	51	provide	provide	VERB
cana-3242	9	52	comprehensive	comprehensive	ADJ
cana-3242	9	53	insights	insight	NOUN
cana-3242	9	54	.	.	PUNCT
cana-3242	10	1	the	the	DET
cana-3242	10	2	study	study	NOUN
cana-3242	10	3	introduces	introduce	VERB
cana-3242	10	4	a	a	DET
cana-3242	10	5	multimodal	multimodal	NOUN
cana-3242	10	6	and	and	CCONJ
cana-3242	10	7	interpretable	interpretable	ADJ
cana-3242	10	8	deep	deep	ADJ
cana-3242	10	9	learning	learning	NOUN
cana-3242	10	10	framework	framework	NOUN
cana-3242	10	11	(	(	PUNCT
cana-3242	10	12	midlf	midlf	PROPN
cana-3242	10	13	)	)	PUNCT
cana-3242	10	14	that	that	PRON
cana-3242	10	15	combines	combine	VERB
cana-3242	10	16	patient	patient	ADJ
cana-3242	10	17	symptoms	symptom	NOUN
cana-3242	10	18	,	,	PUNCT
cana-3242	10	19	imaging	imaging	NOUN
cana-3242	10	20	,	,	PUNCT
cana-3242	10	21	and	and	CCONJ
cana-3242	10	22	laboratory	laboratory	NOUN
cana-3242	10	23	results	result	NOUN
cana-3242	10	24	to	to	PART
cana-3242	10	25	predict	predict	VERB
cana-3242	10	26	blood	blood	NOUN
cana-3242	10	27	cancer	cancer	NOUN
cana-3242	10	28	with	with	ADP
cana-3242	10	29	explainable	explainable	ADJ
cana-3242	10	30	outputs	output	NOUN
cana-3242	10	31	.	.	PUNCT
cana-3242	11	1	the	the	DET
cana-3242	11	2	framework	framework	NOUN
cana-3242	11	3	integrates	integrate	VERB
cana-3242	11	4	a	a	DET
cana-3242	11	5	graph	graph	NOUN
cana-3242	11	6	-	-	PUNCT
cana-3242	11	7	based	base	VERB
cana-3242	11	8	model	model	NOUN
cana-3242	11	9	for	for	ADP
cana-3242	11	10	encoding	encode	VERB
cana-3242	11	11	symptoms	symptom	NOUN
cana-3242	11	12	,	,	PUNCT
cana-3242	11	13	a	a	DET
cana-3242	11	14	hybrid	hybrid	ADJ
cana-3242	11	15	vision	vision	NOUN
cana-3242	11	16	transformer	transformer	NOUN
cana-3242	11	17	(	(	PUNCT
cana-3242	11	18	vit	vit	NOUN
cana-3242	11	19	)	)	PUNCT
cana-3242	11	20	and	and	CCONJ
cana-3242	11	21	convolutional	convolutional	ADJ
cana-3242	11	22	neural	neural	ADJ
cana-3242	11	23	network	network	NOUN
cana-3242	11	24	(	(	PUNCT
cana-3242	11	25	cnn	cnn	PROPN
cana-3242	11	26	)	)	PUNCT
cana-3242	11	27	for	for	ADP
cana-3242	11	28	imaging	image	VERB
cana-3242	11	29	analysis	analysis	NOUN
cana-3242	11	30	,	,	PUNCT
cana-3242	11	31	and	and	CCONJ
cana-3242	11	32	an	an	DET
cana-3242	11	33	attention	attention	NOUN
cana-3242	11	34	-	-	PUNCT
cana-3242	11	35	driven	drive	VERB
cana-3242	11	36	module	module	NOUN
cana-3242	11	37	for	for	ADP
cana-3242	11	38	laboratory	laboratory	NOUN
cana-3242	11	39	data	datum	NOUN
cana-3242	11	40	.	.	PUNCT
cana-3242	12	1	a	a	DET
cana-3242	12	2	gated	gate	VERB
cana-3242	12	3	attention	attention	NOUN
cana-3242	12	4	mechanism	mechanism	NOUN
cana-3242	12	5	fuses	fuse	VERB
cana-3242	12	6	these	these	DET
cana-3242	12	7	inputs	input	NOUN
cana-3242	12	8	,	,	PUNCT
cana-3242	12	9	capturing	capture	VERB
cana-3242	12	10	relationships	relationship	NOUN
cana-3242	12	11	across	across	ADP
cana-3242	12	12	modalities	modality	NOUN
cana-3242	12	13	.	.	PUNCT
cana-3242	13	1	preprocessing	preprocesse	VERB
cana-3242	13	2	includes	include	VERB
cana-3242	13	3	graph	graph	NOUN
cana-3242	13	4	-	-	PUNCT
cana-3242	13	5	based	base	VERB
cana-3242	13	6	embeddings	embedding	NOUN
cana-3242	13	7	for	for	ADP
cana-3242	13	8	symptoms	symptom	NOUN
cana-3242	13	9	,	,	PUNCT
cana-3242	13	10	self	self	NOUN
cana-3242	13	11	-	-	PUNCT
cana-3242	13	12	supervised	supervise	VERB
cana-3242	13	13	learning	learning	NOUN
cana-3242	13	14	for	for	ADP
cana-3242	13	15	unlabeled	unlabeled	ADJ
cana-3242	13	16	imaging	imaging	NOUN
cana-3242	13	17	data	datum	NOUN
cana-3242	13	18	,	,	PUNCT
cana-3242	13	19	and	and	CCONJ
cana-3242	13	20	generative	generative	ADJ
cana-3242	13	21	models	model	NOUN
cana-3242	13	22	to	to	PART
cana-3242	13	23	address	address	VERB
cana-3242	13	24	missing	miss	VERB
cana-3242	13	25	laboratory	laboratory	NOUN
cana-3242	13	26	values	value	NOUN
cana-3242	13	27	.	.	PUNCT
cana-3242	14	1	evaluation	evaluation	NOUN
cana-3242	14	2	used	use	VERB
cana-3242	14	3	the	the	DET
cana-3242	14	4	biobank	biobank	ADJ
cana-3242	14	5	dataset	dataset	NOUN
cana-3242	14	6	,	,	PUNCT
cana-3242	14	7	which	which	PRON
cana-3242	14	8	includes	include	VERB
cana-3242	14	9	multimodal	multimodal	ADJ
cana-3242	14	10	clinical	clinical	ADJ
cana-3242	14	11	data	datum	NOUN
cana-3242	14	12	.	.	PUNCT
cana-3242	15	1	the	the	DET
cana-3242	15	2	framework	framework	NOUN
cana-3242	15	3	achieved	achieve	VERB
cana-3242	15	4	an	an	DET
cana-3242	15	5	accuracy	accuracy	NOUN
cana-3242	15	6	of	of	ADP
cana-3242	15	7	94.8	94.8	NUM
cana-3242	15	8	%	%	NOUN
cana-3242	15	9	,	,	PUNCT
cana-3242	15	10	a	a	DET
cana-3242	15	11	recall	recall	NOUN
cana-3242	15	12	of	of	ADP
cana-3242	15	13	95.2	95.2	NUM
cana-3242	15	14	%	%	NOUN
cana-3242	15	15	,	,	PUNCT
cana-3242	15	16	and	and	CCONJ
cana-3242	15	17	an	an	DET
cana-3242	15	18	auc	auc	NOUN
cana-3242	15	19	-	-	PUNCT
cana-3242	15	20	roc	roc	NOUN
cana-3242	15	21	of	of	ADP
cana-3242	15	22	97.1	97.1	NUM
cana-3242	15	23	%	%	NOUN
cana-3242	15	24	.	.	PUNCT
cana-3242	16	1	these	these	DET
cana-3242	16	2	results	result	NOUN
cana-3242	16	3	were	be	AUX
cana-3242	16	4	benchmarked	benchmarke	VERB
cana-3242	16	5	against	against	ADP
cana-3242	16	6	cell	cell	NOUN
cana-3242	16	7	scoring	scoring	NOUN
cana-3242	16	8	neural	neural	ADJ
cana-3242	16	9	network	network	NOUN
cana-3242	16	10	(	(	PUNCT
cana-3242	16	11	csnn	csnn	NOUN
cana-3242	16	12	)	)	PUNCT
cana-3242	16	13	and	and	CCONJ
cana-3242	16	14	three	three	NUM
cana-3242	16	15	-	-	PUNCT
cana-3242	16	16	stage	stage	NOUN
cana-3242	16	17	feature	feature	NOUN
cana-3242	16	18	selection	selection	NOUN
cana-3242	16	19	with	with	ADP
cana-3242	16	20	twice	twice	ADV
cana-3242	16	21	-	-	PUNCT
cana-3242	16	22	competitional	competitional	ADJ
cana-3242	16	23	ensemble	ensemble	ADJ
cana-3242	16	24	learning	learning	NOUN
cana-3242	16	25	method	method	NOUN
cana-3242	16	26	(	(	PUNCT
cana-3242	16	27	tsfs	tsfs	NOUN
cana-3242	16	28	-	-	PUNCT
cana-3242	16	29	tcem	tcem	NOUN
cana-3242	16	30	)	)	PUNCT
cana-3242	16	31	,	,	PUNCT
cana-3242	16	32	demonstrating	demonstrate	VERB
cana-3242	16	33	improved	improve	VERB
cana-3242	16	34	prediction	prediction	NOUN
cana-3242	16	35	consistency	consistency	NOUN
cana-3242	16	36	across	across	ADP
cana-3242	16	37	metrics	metric	NOUN
cana-3242	16	38	.	.	PUNCT
cana-3242	17	1	clinician	clinician	ADJ
cana-3242	17	2	reviews	review	NOUN
cana-3242	17	3	validated	validate	VERB
cana-3242	17	4	feature	feature	NOUN
cana-3242	17	5	importance	importance	NOUN
cana-3242	17	6	outputs	output	NOUN
cana-3242	17	7	from	from	ADP
cana-3242	17	8	shap	shap	NOUN
cana-3242	17	9	and	and	CCONJ
cana-3242	17	10	layer	layer	NOUN
cana-3242	17	11	-	-	PUNCT
cana-3242	17	12	wise	wise	ADJ
cana-3242	17	13	relevance	relevance	NOUN
cana-3242	17	14	propagation	propagation	NOUN
cana-3242	17	15	,	,	PUNCT
cana-3242	17	16	showing	show	VERB
cana-3242	17	17	alignment	alignment	NOUN
cana-3242	17	18	with	with	ADP
cana-3242	17	19	clinical	clinical	ADJ
cana-3242	17	20	reasoning	reasoning	NOUN
cana-3242	17	21	.	.	PUNCT
cana-3242	18	1	this	this	DET
cana-3242	18	2	framework	framework	NOUN
cana-3242	18	3	addresses	address	NOUN
cana-3242	18	4	challenges	challenge	VERB
cana-3242	18	5	in	in	ADP
cana-3242	18	6	integrating	integrate	VERB
cana-3242	18	7	diverse	diverse	ADJ
cana-3242	18	8	clinical	clinical	ADJ
cana-3242	18	9	data	datum	NOUN
cana-3242	18	10	and	and	CCONJ
cana-3242	18	11	explaining	explain	VERB
cana-3242	18	12	model	model	NOUN
cana-3242	18	13	predictions	prediction	NOUN
cana-3242	18	14	.	.	PUNCT
cana-3242	19	1	results	result	NOUN
cana-3242	19	2	suggest	suggest	VERB
cana-3242	19	3	that	that	SCONJ
cana-3242	19	4	combining	combine	VERB
cana-3242	19	5	symptoms	symptom	NOUN
cana-3242	19	6	,	,	PUNCT
cana-3242	19	7	imaging	imaging	NOUN
cana-3242	19	8	,	,	PUNCT
cana-3242	19	9	and	and	CCONJ
cana-3242	19	10	laboratory	laboratory	NOUN
cana-3242	19	11	data	datum	NOUN
cana-3242	19	12	enables	enable	VERB
cana-3242	19	13	more	more	ADV
cana-3242	19	14	informed	informed	ADJ
cana-3242	19	15	diagnostic	diagnostic	ADJ
cana-3242	19	16	predictions	prediction	NOUN
cana-3242	19	17	,	,	PUNCT
cana-3242	19	18	facilitating	facilitate	VERB
cana-3242	19	19	early	early	ADJ
cana-3242	19	20	detection	detection	NOUN
cana-3242	19	21	of	of	ADP
cana-3242	19	22	blood	blood	NOUN
cana-3242	19	23	cancer	cancer	NOUN
cana-3242	19	24	.	.	PUNCT
cana-3242	20	1	keywords	keyword	NOUN
cana-3242	20	2	:	:	PUNCT
cana-3242	20	3	blood	blood	NOUN
cana-3242	20	4	cancer	cancer	NOUN
cana-3242	20	5	detection	detection	NOUN
cana-3242	20	6	,	,	PUNCT
cana-3242	20	7	multimodal	multimodal	ADJ
cana-3242	20	8	data	datum	NOUN
cana-3242	20	9	integration	integration	NOUN
cana-3242	20	10	,	,	PUNCT
cana-3242	20	11	explainable	explainable	ADJ
cana-3242	20	12	deep	deep	ADJ
cana-3242	20	13	learning	learning	NOUN
cana-3242	20	14	,	,	PUNCT
cana-3242	20	15	vision	vision	NOUN
cana-3242	20	16	transformer	transformer	NOUN
cana-3242	20	17	,	,	PUNCT
cana-3242	20	18	gated	gate	VERB
cana-3242	20	19	attention	attention	NOUN
cana-3242	20	20	,	,	PUNCT
cana-3242	20	21	shap	shap	NOUN
cana-3242	20	22	analysis	analysis	NOUN
cana-3242	20	23	,	,	PUNCT
cana-3242	20	24	clinical	clinical	ADJ
cana-3242	20	25	data	data	NOUN
cana-3242	20	26	imputation	imputation	NOUN
cana-3242	20	27	.	.	PUNCT
cana-3242	21	1	introduction	introduction	NOUN
cana-3242	21	2	blood	blood	NOUN
cana-3242	21	3	cancer	cancer	NOUN
cana-3242	21	4	,	,	PUNCT
cana-3242	21	5	also	also	ADV
cana-3242	21	6	known	know	VERB
cana-3242	21	7	as	as	ADP
cana-3242	21	8	hematological	hematological	ADJ
cana-3242	21	9	malignancy	malignancy	NOUN
cana-3242	21	10	,	,	PUNCT
cana-3242	21	11	affects	affect	VERB
cana-3242	21	12	the	the	DET
cana-3242	21	13	blood	blood	NOUN
cana-3242	21	14	,	,	PUNCT
cana-3242	21	15	bone	bone	NOUN
cana-3242	21	16	marrow	marrow	NOUN
cana-3242	21	17	,	,	PUNCT
cana-3242	21	18	and	and	CCONJ
cana-3242	21	19	lymphatic	lymphatic	ADJ
cana-3242	21	20	system	system	NOUN
cana-3242	21	21	,	,	PUNCT
cana-3242	21	22	with	with	ADP
cana-3242	21	23	early	early	ADJ
cana-3242	21	24	detection	detection	NOUN
cana-3242	21	25	being	be	AUX
cana-3242	21	26	critical	critical	ADJ
cana-3242	21	27	for	for	ADP
cana-3242	21	28	initiating	initiate	VERB
cana-3242	21	29	timely	timely	ADJ
cana-3242	21	30	treatment	treatment	NOUN
cana-3242	21	31	and	and	CCONJ
cana-3242	21	32	improving	improve	VERB
cana-3242	21	33	clinical	clinical	ADJ
cana-3242	21	34	outcomes	outcome	NOUN
cana-3242	21	35	[	[	X
cana-3242	21	36	1	1	NUM
cana-3242	21	37	]	]	PUNCT
cana-3242	21	38	.	.	PUNCT
cana-3242	22	1	diagnosing	diagnose	VERB
cana-3242	22	2	blood	blood	NOUN
cana-3242	22	3	cancer	cancer	NOUN
cana-3242	22	4	in	in	ADP
cana-3242	22	5	its	its	PRON
cana-3242	22	6	initial	initial	ADJ
cana-3242	22	7	stages	stage	NOUN
cana-3242	22	8	remains	remain	VERB
cana-3242	22	9	a	a	DET
cana-3242	22	10	complex	complex	ADJ
cana-3242	22	11	task	task	NOUN
cana-3242	22	12	.	.	PUNCT
cana-3242	23	1	existing	exist	VERB
cana-3242	23	2	methods	method	NOUN
cana-3242	23	3	often	often	ADV
cana-3242	23	4	involve	involve	VERB
cana-3242	23	5	invasive	invasive	ADJ
cana-3242	23	6	procedures	procedure	NOUN
cana-3242	23	7	,	,	PUNCT
cana-3242	23	8	high	high	ADJ
cana-3242	23	9	costs	cost	NOUN
cana-3242	23	10	,	,	PUNCT
cana-3242	23	11	and	and	CCONJ
cana-3242	23	12	are	be	AUX
cana-3242	23	13	limited	limit	VERB
cana-3242	23	14	to	to	ADP
cana-3242	23	15	detecting	detect	VERB
cana-3242	23	16	specific	specific	ADJ
cana-3242	23	17	cancer	cancer	NOUN
cana-3242	23	18	types	type	NOUN
cana-3242	23	19	,	,	PUNCT
cana-3242	23	20	leaving	leave	VERB
cana-3242	23	21	significant	significant	ADJ
cana-3242	23	22	gaps	gap	NOUN
cana-3242	23	23	in	in	ADP
cana-3242	23	24	coverage	coverage	NOUN
cana-3242	23	25	[	[	X
cana-3242	23	26	2	2	NUM
cana-3242	23	27	]	]	PUNCT
cana-3242	23	28	.	.	PUNCT
cana-3242	24	1	these	these	DET
cana-3242	24	2	constraints	constraint	NOUN
cana-3242	24	3	emphasize	emphasize	VERB
cana-3242	24	4	the	the	DET
cana-3242	24	5	necessity	necessity	NOUN
cana-3242	24	6	for	for	ADP
cana-3242	24	7	mailto:pullaiahgcp@gmail.com	mailto:pullaiahgcp@gmail.com	NOUN
cana-3242	24	8	mailto:pmashokk@gmail.com	mailto:pmashokk@gmail.com	NOUN
cana-3242	24	9	communications	communication	NOUN
cana-3242	24	10	on	on	ADP
cana-3242	24	11	applied	apply	VERB
cana-3242	24	12	nonlinear	nonlinear	ADJ
cana-3242	24	13	analysis	analysis	NOUN
cana-3242	24	14	issn	issn	NOUN
cana-3242	24	15	:	:	PUNCT
cana-3242	24	16	1074	1074	NUM
cana-3242	24	17	-	-	PUNCT
cana-3242	24	18	133x	133x	NUM
cana-3242	24	19	vol	vol	NOUN
cana-3242	24	20	32	32	NUM
cana-3242	24	21	no	no	NOUN
cana-3242	24	22	.	.	PUNCT
cana-3242	25	1	6s	6s	NUM
cana-3242	25	2	(	(	PUNCT
cana-3242	25	3	2025	2025	NUM
cana-3242	25	4	)	)	PUNCT
cana-3242	25	5	40	40	NUM
cana-3242	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	25	7	approaches	approach	NOUN
cana-3242	25	8	that	that	PRON
cana-3242	25	9	are	be	AUX
cana-3242	25	10	less	less	ADV
cana-3242	25	11	intrusive	intrusive	ADJ
cana-3242	25	12	,	,	PUNCT
cana-3242	25	13	more	more	ADV
cana-3242	25	14	precise	precise	ADJ
cana-3242	25	15	,	,	PUNCT
cana-3242	25	16	and	and	CCONJ
cana-3242	25	17	capable	capable	ADJ
cana-3242	25	18	of	of	ADP
cana-3242	25	19	analyzing	analyze	VERB
cana-3242	25	20	diverse	diverse	ADJ
cana-3242	25	21	clinical	clinical	ADJ
cana-3242	25	22	data	datum	NOUN
cana-3242	25	23	simultaneously	simultaneously	ADV
cana-3242	25	24	[	[	X
cana-3242	25	25	2	2	NUM
cana-3242	25	26	]	]	PUNCT
cana-3242	25	27	.	.	PUNCT
cana-3242	26	1	machine	machine	NOUN
cana-3242	26	2	learning	learning	NOUN
cana-3242	26	3	and	and	CCONJ
cana-3242	26	4	deep	deep	ADJ
cana-3242	26	5	learning	learning	NOUN
cana-3242	26	6	have	have	AUX
cana-3242	26	7	emerged	emerge	VERB
cana-3242	26	8	as	as	ADP
cana-3242	26	9	critical	critical	ADJ
cana-3242	26	10	tools	tool	NOUN
cana-3242	26	11	in	in	ADP
cana-3242	26	12	medical	medical	ADJ
cana-3242	26	13	diagnostics	diagnostic	NOUN
cana-3242	26	14	.	.	PUNCT
cana-3242	27	1	techniques	technique	NOUN
cana-3242	27	2	such	such	ADJ
cana-3242	27	3	as	as	ADP
cana-3242	27	4	convolutional	convolutional	ADJ
cana-3242	27	5	neural	neural	ADJ
cana-3242	27	6	networks	network	NOUN
cana-3242	27	7	have	have	AUX
cana-3242	27	8	shown	show	VERB
cana-3242	27	9	promise	promise	NOUN
cana-3242	27	10	in	in	ADP
cana-3242	27	11	analyzing	analyze	VERB
cana-3242	27	12	medical	medical	ADJ
cana-3242	27	13	images	image	NOUN
cana-3242	27	14	,	,	PUNCT
cana-3242	27	15	including	include	VERB
cana-3242	27	16	blood	blood	NOUN
cana-3242	27	17	smears	smear	NOUN
cana-3242	27	18	,	,	PUNCT
cana-3242	27	19	by	by	ADP
cana-3242	27	20	identifying	identify	VERB
cana-3242	27	21	patterns	pattern	NOUN
cana-3242	27	22	associated	associate	VERB
cana-3242	27	23	with	with	ADP
cana-3242	27	24	various	various	ADJ
cana-3242	27	25	types	type	NOUN
cana-3242	27	26	of	of	ADP
cana-3242	27	27	blood	blood	NOUN
cana-3242	27	28	cancer	cancer	NOUN
cana-3242	27	29	[	[	X
cana-3242	27	30	3	3	NUM
cana-3242	27	31	]	]	PUNCT
cana-3242	27	32	,	,	PUNCT
cana-3242	27	33	[	[	X
cana-3242	27	34	4	4	NUM
cana-3242	27	35	]	]	PUNCT
cana-3242	27	36	.	.	PUNCT
cana-3242	28	1	algorithms	algorithm	NOUN
cana-3242	28	2	like	like	ADP
cana-3242	28	3	random	random	ADJ
cana-3242	28	4	forest	forest	NOUN
cana-3242	28	5	and	and	CCONJ
cana-3242	28	6	naive	naive	ADJ
cana-3242	28	7	bayes	baye	NOUN
cana-3242	28	8	have	have	AUX
cana-3242	28	9	also	also	ADV
cana-3242	28	10	been	be	AUX
cana-3242	28	11	used	use	VERB
cana-3242	28	12	effectively	effectively	ADV
cana-3242	28	13	to	to	PART
cana-3242	28	14	analyze	analyze	VERB
cana-3242	28	15	symptoms	symptom	NOUN
cana-3242	28	16	and	and	CCONJ
cana-3242	28	17	microscopic	microscopic	ADJ
cana-3242	28	18	imaging	imaging	NOUN
cana-3242	28	19	data	datum	NOUN
cana-3242	28	20	,	,	PUNCT
cana-3242	28	21	highlighting	highlight	VERB
cana-3242	28	22	their	their	PRON
cana-3242	28	23	ability	ability	NOUN
cana-3242	28	24	to	to	PART
cana-3242	28	25	identify	identify	VERB
cana-3242	28	26	disease	disease	NOUN
cana-3242	28	27	indicators	indicator	NOUN
cana-3242	28	28	[	[	X
cana-3242	28	29	5	5	NUM
cana-3242	28	30	]	]	PUNCT
cana-3242	28	31	.	.	PUNCT
cana-3242	29	1	however	however	ADV
cana-3242	29	2	,	,	PUNCT
cana-3242	29	3	these	these	DET
cana-3242	29	4	approaches	approach	NOUN
cana-3242	29	5	primarily	primarily	ADV
cana-3242	29	6	focus	focus	VERB
cana-3242	29	7	on	on	ADP
cana-3242	29	8	individual	individual	ADJ
cana-3242	29	9	data	datum	NOUN
cana-3242	29	10	modalities	modality	NOUN
cana-3242	29	11	,	,	PUNCT
cana-3242	29	12	such	such	ADJ
cana-3242	29	13	as	as	ADP
cana-3242	29	14	text	text	NOUN
cana-3242	29	15	,	,	PUNCT
cana-3242	29	16	imaging	imaging	NOUN
cana-3242	29	17	,	,	PUNCT
cana-3242	29	18	or	or	CCONJ
cana-3242	29	19	numerical	numerical	ADJ
cana-3242	29	20	data	datum	NOUN
cana-3242	29	21	,	,	PUNCT
cana-3242	29	22	limiting	limit	VERB
cana-3242	29	23	their	their	PRON
cana-3242	29	24	ability	ability	NOUN
cana-3242	29	25	to	to	PART
cana-3242	29	26	provide	provide	VERB
cana-3242	29	27	a	a	DET
cana-3242	29	28	comprehensive	comprehensive	ADJ
cana-3242	29	29	diagnostic	diagnostic	ADJ
cana-3242	29	30	assessment	assessment	NOUN
cana-3242	29	31	[	[	X
cana-3242	29	32	6	6	NUM
cana-3242	29	33	]	]	PUNCT
cana-3242	29	34	.	.	PUNCT
cana-3242	30	1	the	the	DET
cana-3242	30	2	integration	integration	NOUN
cana-3242	30	3	of	of	ADP
cana-3242	30	4	multimodal	multimodal	NOUN
cana-3242	30	5	data	datum	NOUN
cana-3242	30	6	,	,	PUNCT
cana-3242	30	7	such	such	ADJ
cana-3242	30	8	as	as	ADP
cana-3242	30	9	patient	patient	NOUN
cana-3242	30	10	-	-	PUNCT
cana-3242	30	11	reported	report	VERB
cana-3242	30	12	symptoms	symptom	NOUN
cana-3242	30	13	,	,	PUNCT
cana-3242	30	14	imaging	imaging	NOUN
cana-3242	30	15	,	,	PUNCT
cana-3242	30	16	and	and	CCONJ
cana-3242	30	17	laboratory	laboratory	NOUN
cana-3242	30	18	test	test	NOUN
cana-3242	30	19	results	result	NOUN
cana-3242	30	20	,	,	PUNCT
cana-3242	30	21	is	be	AUX
cana-3242	30	22	increasingly	increasingly	ADV
cana-3242	30	23	recognized	recognize	VERB
cana-3242	30	24	as	as	ADP
cana-3242	30	25	essential	essential	ADJ
cana-3242	30	26	for	for	ADP
cana-3242	30	27	advancing	advance	VERB
cana-3242	30	28	cancer	cancer	NOUN
cana-3242	30	29	diagnostics	diagnostic	NOUN
cana-3242	30	30	[	[	X
cana-3242	30	31	6	6	NUM
cana-3242	30	32	]	]	PUNCT
cana-3242	30	33	.	.	PUNCT
cana-3242	31	1	multimodal	multimodal	ADJ
cana-3242	31	2	frameworks	framework	NOUN
cana-3242	31	3	that	that	PRON
cana-3242	31	4	leverage	leverage	VERB
cana-3242	31	5	advanced	advanced	ADJ
cana-3242	31	6	data	datum	NOUN
cana-3242	31	7	fusion	fusion	NOUN
cana-3242	31	8	techniques	technique	NOUN
cana-3242	31	9	,	,	PUNCT
cana-3242	31	10	including	include	VERB
cana-3242	31	11	graph	graph	NOUN
cana-3242	31	12	neural	neural	ADJ
cana-3242	31	13	networks	network	NOUN
cana-3242	31	14	and	and	CCONJ
cana-3242	31	15	transformers	transformer	NOUN
cana-3242	31	16	,	,	PUNCT
cana-3242	31	17	synthesize	synthesize	VERB
cana-3242	31	18	diverse	diverse	ADJ
cana-3242	31	19	information	information	NOUN
cana-3242	31	20	sources	source	NOUN
cana-3242	31	21	to	to	PART
cana-3242	31	22	generate	generate	VERB
cana-3242	31	23	insights	insight	NOUN
cana-3242	31	24	tailored	tailor	VERB
cana-3242	31	25	to	to	ADP
cana-3242	31	26	individual	individual	ADJ
cana-3242	31	27	patient	patient	ADJ
cana-3242	31	28	profiles	profile	NOUN
cana-3242	31	29	[	[	X
cana-3242	31	30	6	6	NUM
cana-3242	31	31	]	]	PUNCT
cana-3242	31	32	.	.	PUNCT
cana-3242	32	1	these	these	DET
cana-3242	32	2	methods	method	NOUN
cana-3242	32	3	allow	allow	VERB
cana-3242	32	4	for	for	ADP
cana-3242	32	5	better	well	ADJ
cana-3242	32	6	predictions	prediction	NOUN
cana-3242	32	7	by	by	ADP
cana-3242	32	8	capturing	capture	VERB
cana-3242	32	9	relationships	relationship	NOUN
cana-3242	32	10	between	between	ADP
cana-3242	32	11	various	various	ADJ
cana-3242	32	12	data	datum	NOUN
cana-3242	32	13	types	type	NOUN
cana-3242	32	14	.	.	PUNCT
cana-3242	33	1	while	while	SCONJ
cana-3242	33	2	promising	promise	VERB
cana-3242	33	3	,	,	PUNCT
cana-3242	33	4	such	such	ADJ
cana-3242	33	5	frameworks	framework	NOUN
cana-3242	33	6	face	face	VERB
cana-3242	33	7	challenges	challenge	NOUN
cana-3242	33	8	related	relate	VERB
cana-3242	33	9	to	to	ADP
cana-3242	33	10	handling	handle	VERB
cana-3242	33	11	data	datum	NOUN
cana-3242	33	12	variability	variability	NOUN
cana-3242	33	13	,	,	PUNCT
cana-3242	33	14	ensuring	ensure	VERB
cana-3242	33	15	model	model	NOUN
cana-3242	33	16	transparency	transparency	NOUN
cana-3242	33	17	,	,	PUNCT
cana-3242	33	18	and	and	CCONJ
cana-3242	33	19	translating	translate	VERB
cana-3242	33	20	results	result	NOUN
cana-3242	33	21	into	into	ADP
cana-3242	33	22	actionable	actionable	ADJ
cana-3242	33	23	insights	insight	NOUN
cana-3242	33	24	for	for	ADP
cana-3242	33	25	clinical	clinical	ADJ
cana-3242	33	26	settings	setting	NOUN
cana-3242	33	27	[	[	X
cana-3242	33	28	7	7	NUM
cana-3242	33	29	]	]	PUNCT
cana-3242	33	30	,	,	PUNCT
cana-3242	33	31	[	[	X
cana-3242	33	32	1	1	NUM
cana-3242	33	33	]	]	PUNCT
cana-3242	33	34	.	.	PUNCT
cana-3242	34	1	current	current	ADJ
cana-3242	34	2	diagnostic	diagnostic	ADJ
cana-3242	34	3	frameworks	framework	NOUN
cana-3242	34	4	often	often	ADV
cana-3242	34	5	lack	lack	VERB
cana-3242	34	6	interpretability	interpretability	NOUN
cana-3242	34	7	,	,	PUNCT
cana-3242	34	8	making	make	VERB
cana-3242	34	9	their	their	PRON
cana-3242	34	10	outputs	output	NOUN
cana-3242	34	11	difficult	difficult	ADJ
cana-3242	34	12	for	for	SCONJ
cana-3242	34	13	clinicians	clinician	NOUN
cana-3242	34	14	to	to	PART
cana-3242	34	15	understand	understand	VERB
cana-3242	34	16	and	and	CCONJ
cana-3242	34	17	trust	trust	VERB
cana-3242	34	18	[	[	X
cana-3242	34	19	1	1	NUM
cana-3242	34	20	]	]	PUNCT
cana-3242	34	21	.	.	PUNCT
cana-3242	35	1	interpretability	interpretability	NOUN
cana-3242	35	2	ensures	ensure	VERB
cana-3242	35	3	that	that	SCONJ
cana-3242	35	4	a	a	DET
cana-3242	35	5	model	model	NOUN
cana-3242	35	6	not	not	PART
cana-3242	35	7	only	only	ADV
cana-3242	35	8	provides	provide	VERB
cana-3242	35	9	accurate	accurate	ADJ
cana-3242	35	10	predictions	prediction	NOUN
cana-3242	35	11	but	but	CCONJ
cana-3242	35	12	also	also	ADV
cana-3242	35	13	explains	explain	VERB
cana-3242	35	14	the	the	DET
cana-3242	35	15	reasoning	reasoning	NOUN
cana-3242	35	16	behind	behind	ADP
cana-3242	35	17	its	its	PRON
cana-3242	35	18	decisions	decision	NOUN
cana-3242	35	19	[	[	X
cana-3242	35	20	7	7	NUM
cana-3242	35	21	]	]	PUNCT
cana-3242	35	22	.	.	PUNCT
cana-3242	36	1	this	this	DET
cana-3242	36	2	clarity	clarity	NOUN
cana-3242	36	3	is	be	AUX
cana-3242	36	4	essential	essential	ADJ
cana-3242	36	5	for	for	ADP
cana-3242	36	6	integrating	integrate	VERB
cana-3242	36	7	advanced	advanced	ADJ
cana-3242	36	8	models	model	NOUN
cana-3242	36	9	into	into	ADP
cana-3242	36	10	real	real	ADJ
cana-3242	36	11	-	-	PUNCT
cana-3242	36	12	world	world	NOUN
cana-3242	36	13	medical	medical	ADJ
cana-3242	36	14	workflows	workflow	NOUN
cana-3242	36	15	,	,	PUNCT
cana-3242	36	16	where	where	SCONJ
cana-3242	36	17	decision	decision	NOUN
cana-3242	36	18	-	-	PUNCT
cana-3242	36	19	making	making	NOUN
cana-3242	36	20	involves	involve	VERB
cana-3242	36	21	both	both	DET
cana-3242	36	22	clinicians	clinician	NOUN
cana-3242	36	23	and	and	CCONJ
cana-3242	36	24	patients	patient	NOUN
cana-3242	36	25	[	[	X
cana-3242	36	26	1	1	NUM
cana-3242	36	27	]	]	PUNCT
cana-3242	36	28	.	.	PUNCT
cana-3242	37	1	additionally	additionally	ADV
cana-3242	37	2	,	,	PUNCT
cana-3242	37	3	challenges	challenge	NOUN
cana-3242	37	4	such	such	ADJ
cana-3242	37	5	as	as	ADP
cana-3242	37	6	managing	manage	VERB
cana-3242	37	7	heterogeneous	heterogeneous	ADJ
cana-3242	37	8	datasets	dataset	NOUN
cana-3242	37	9	,	,	PUNCT
cana-3242	37	10	addressing	address	VERB
cana-3242	37	11	data	datum	NOUN
cana-3242	37	12	quality	quality	NOUN
cana-3242	37	13	issues	issue	NOUN
cana-3242	37	14	,	,	PUNCT
cana-3242	37	15	and	and	CCONJ
cana-3242	37	16	ensuring	ensure	VERB
cana-3242	37	17	smooth	smooth	ADJ
cana-3242	37	18	integration	integration	NOUN
cana-3242	37	19	into	into	ADP
cana-3242	37	20	clinical	clinical	ADJ
cana-3242	37	21	environments	environment	NOUN
cana-3242	37	22	persist	persist	VERB
cana-3242	37	23	[	[	X
cana-3242	37	24	1	1	NUM
cana-3242	37	25	]	]	PUNCT
cana-3242	37	26	.	.	PUNCT
cana-3242	38	1	the	the	DET
cana-3242	38	2	focus	focus	NOUN
cana-3242	38	3	of	of	ADP
cana-3242	38	4	this	this	DET
cana-3242	38	5	research	research	NOUN
cana-3242	38	6	is	be	AUX
cana-3242	38	7	on	on	ADP
cana-3242	38	8	creating	create	VERB
cana-3242	38	9	a	a	DET
cana-3242	38	10	multimodal	multimodal	ADJ
cana-3242	38	11	deep	deep	ADJ
cana-3242	38	12	learning	learning	NOUN
cana-3242	38	13	framework	framework	NOUN
cana-3242	38	14	for	for	ADP
cana-3242	38	15	detecting	detect	VERB
cana-3242	38	16	blood	blood	NOUN
cana-3242	38	17	cancer	cancer	NOUN
cana-3242	38	18	at	at	ADP
cana-3242	38	19	an	an	DET
cana-3242	38	20	early	early	ADJ
cana-3242	38	21	stage	stage	NOUN
cana-3242	38	22	.	.	PUNCT
cana-3242	39	1	by	by	ADP
cana-3242	39	2	incorporating	incorporate	VERB
cana-3242	39	3	symptom	symptom	NOUN
cana-3242	39	4	data	datum	NOUN
cana-3242	39	5	,	,	PUNCT
cana-3242	39	6	imaging	imaging	NOUN
cana-3242	39	7	,	,	PUNCT
cana-3242	39	8	and	and	CCONJ
cana-3242	39	9	laboratory	laboratory	NOUN
cana-3242	39	10	results	result	NOUN
cana-3242	39	11	,	,	PUNCT
cana-3242	39	12	this	this	DET
cana-3242	39	13	framework	framework	NOUN
cana-3242	39	14	aims	aim	VERB
cana-3242	39	15	to	to	PART
cana-3242	39	16	analyze	analyze	VERB
cana-3242	39	17	complex	complex	ADJ
cana-3242	39	18	datasets	dataset	NOUN
cana-3242	39	19	and	and	CCONJ
cana-3242	39	20	provide	provide	VERB
cana-3242	39	21	diagnostic	diagnostic	ADJ
cana-3242	39	22	predictions	prediction	NOUN
cana-3242	39	23	that	that	PRON
cana-3242	39	24	can	can	AUX
cana-3242	39	25	be	be	AUX
cana-3242	39	26	explained	explain	VERB
cana-3242	39	27	to	to	ADP
cana-3242	39	28	clinicians	clinician	NOUN
cana-3242	39	29	[	[	X
cana-3242	39	30	6	6	NUM
cana-3242	39	31	]	]	PUNCT
cana-3242	39	32	.	.	PUNCT
cana-3242	40	1	the	the	DET
cana-3242	40	2	research	research	NOUN
cana-3242	40	3	also	also	ADV
cana-3242	40	4	addresses	address	VERB
cana-3242	40	5	the	the	DET
cana-3242	40	6	issue	issue	NOUN
cana-3242	40	7	of	of	ADP
cana-3242	40	8	interpretability	interpretability	NOUN
cana-3242	40	9	by	by	ADP
cana-3242	40	10	including	include	VERB
cana-3242	40	11	methods	method	NOUN
cana-3242	40	12	that	that	PRON
cana-3242	40	13	allow	allow	VERB
cana-3242	40	14	the	the	DET
cana-3242	40	15	model	model	NOUN
cana-3242	40	16	’s	’s	PART
cana-3242	40	17	reasoning	reasoning	NOUN
cana-3242	40	18	process	process	NOUN
cana-3242	40	19	to	to	PART
cana-3242	40	20	be	be	AUX
cana-3242	40	21	visualized	visualize	VERB
cana-3242	40	22	and	and	CCONJ
cana-3242	40	23	verified	verify	VERB
cana-3242	40	24	[	[	PUNCT
cana-3242	40	25	7	7	NUM
cana-3242	40	26	]	]	PUNCT
cana-3242	40	27	,	,	PUNCT
cana-3242	40	28	[	[	X
cana-3242	40	29	1	1	NUM
cana-3242	40	30	]	]	PUNCT
cana-3242	40	31	.	.	PUNCT
cana-3242	41	1	this	this	DET
cana-3242	41	2	study	study	NOUN
cana-3242	41	3	examines	examine	VERB
cana-3242	41	4	the	the	DET
cana-3242	41	5	use	use	NOUN
cana-3242	41	6	of	of	ADP
cana-3242	41	7	multimodal	multimodal	NOUN
cana-3242	41	8	integration	integration	NOUN
cana-3242	41	9	to	to	PART
cana-3242	41	10	overcome	overcome	VERB
cana-3242	41	11	the	the	DET
cana-3242	41	12	limitations	limitation	NOUN
cana-3242	41	13	of	of	ADP
cana-3242	41	14	existing	exist	VERB
cana-3242	41	15	singlemodality	singlemodality	NOUN
cana-3242	41	16	models	model	NOUN
cana-3242	41	17	[	[	X
cana-3242	41	18	6	6	NUM
cana-3242	41	19	]	]	PUNCT
cana-3242	41	20	.	.	PUNCT
cana-3242	42	1	the	the	DET
cana-3242	42	2	framework	framework	NOUN
cana-3242	42	3	synthesizes	synthesize	VERB
cana-3242	42	4	diverse	diverse	ADJ
cana-3242	42	5	data	datum	NOUN
cana-3242	42	6	sources	source	NOUN
cana-3242	42	7	,	,	PUNCT
cana-3242	42	8	improving	improve	VERB
cana-3242	42	9	the	the	DET
cana-3242	42	10	understanding	understanding	NOUN
cana-3242	42	11	of	of	ADP
cana-3242	42	12	disease	disease	NOUN
cana-3242	42	13	patterns	pattern	NOUN
cana-3242	42	14	and	and	CCONJ
cana-3242	42	15	enhancing	enhance	VERB
cana-3242	42	16	prediction	prediction	NOUN
cana-3242	42	17	capabilities	capability	NOUN
cana-3242	42	18	[	[	X
cana-3242	42	19	6	6	NUM
cana-3242	42	20	]	]	PUNCT
cana-3242	42	21	.	.	PUNCT
cana-3242	43	1	methods	method	NOUN
cana-3242	43	2	for	for	ADP
cana-3242	43	3	ensuring	ensure	VERB
cana-3242	43	4	interpretability	interpretability	NOUN
cana-3242	43	5	are	be	AUX
cana-3242	43	6	explored	explore	VERB
cana-3242	43	7	to	to	PART
cana-3242	43	8	make	make	VERB
cana-3242	43	9	the	the	DET
cana-3242	43	10	model	model	NOUN
cana-3242	43	11	suitable	suitable	ADJ
cana-3242	43	12	for	for	ADP
cana-3242	43	13	clinical	clinical	ADJ
cana-3242	43	14	applications	application	NOUN
cana-3242	43	15	[	[	X
cana-3242	43	16	1	1	NUM
cana-3242	43	17	]	]	PUNCT
cana-3242	43	18	.	.	PUNCT
cana-3242	44	1	the	the	DET
cana-3242	44	2	research	research	NOUN
cana-3242	44	3	identifies	identify	VERB
cana-3242	44	4	gaps	gap	NOUN
cana-3242	44	5	in	in	ADP
cana-3242	44	6	current	current	ADJ
cana-3242	44	7	practices	practice	NOUN
cana-3242	44	8	,	,	PUNCT
cana-3242	44	9	such	such	ADJ
cana-3242	44	10	as	as	ADP
cana-3242	44	11	limited	limited	ADJ
cana-3242	44	12	integration	integration	NOUN
cana-3242	44	13	of	of	ADP
cana-3242	44	14	heterogeneous	heterogeneous	ADJ
cana-3242	44	15	data	datum	NOUN
cana-3242	44	16	and	and	CCONJ
cana-3242	44	17	challenges	challenge	NOUN
cana-3242	44	18	in	in	ADP
cana-3242	44	19	translating	translate	VERB
cana-3242	44	20	ai	ai	NOUN
cana-3242	44	21	-	-	PUNCT
cana-3242	44	22	generated	generate	VERB
cana-3242	44	23	insights	insight	NOUN
cana-3242	44	24	into	into	ADP
cana-3242	44	25	clinical	clinical	ADJ
cana-3242	44	26	decisions	decision	NOUN
cana-3242	44	27	[	[	X
cana-3242	44	28	7	7	NUM
cana-3242	44	29	]	]	PUNCT
cana-3242	44	30	,	,	PUNCT
cana-3242	44	31	[	[	X
cana-3242	44	32	2	2	NUM
cana-3242	44	33	]	]	PUNCT
cana-3242	44	34	.	.	PUNCT
cana-3242	45	1	these	these	DET
cana-3242	45	2	gaps	gap	NOUN
cana-3242	45	3	motivate	motivate	VERB
cana-3242	45	4	the	the	DET
cana-3242	45	5	need	need	NOUN
cana-3242	45	6	for	for	ADP
cana-3242	45	7	this	this	DET
cana-3242	45	8	study	study	NOUN
cana-3242	45	9	.	.	PUNCT
cana-3242	46	1	the	the	DET
cana-3242	46	2	research	research	NOUN
cana-3242	46	3	focuses	focus	VERB
cana-3242	46	4	on	on	ADP
cana-3242	46	5	developing	develop	VERB
cana-3242	46	6	a	a	DET
cana-3242	46	7	framework	framework	NOUN
cana-3242	46	8	that	that	PRON
cana-3242	46	9	incorporates	incorporate	VERB
cana-3242	46	10	advanced	advanced	ADJ
cana-3242	46	11	data	datum	NOUN
cana-3242	46	12	fusion	fusion	NOUN
cana-3242	46	13	techniques	technique	NOUN
cana-3242	46	14	while	while	SCONJ
cana-3242	46	15	addressing	address	VERB
cana-3242	46	16	the	the	DET
cana-3242	46	17	challenges	challenge	NOUN
cana-3242	46	18	of	of	ADP
cana-3242	46	19	data	datum	NOUN
cana-3242	46	20	variability	variability	NOUN
cana-3242	46	21	and	and	CCONJ
cana-3242	46	22	model	model	NOUN
cana-3242	46	23	transparency	transparency	NOUN
cana-3242	47	1	[	[	X
cana-3242	47	2	6	6	NUM
cana-3242	47	3	]	]	PUNCT
cana-3242	47	4	.	.	PUNCT
cana-3242	48	1	this	this	DET
cana-3242	48	2	approach	approach	NOUN
cana-3242	48	3	enables	enable	VERB
cana-3242	48	4	the	the	DET
cana-3242	48	5	integration	integration	NOUN
cana-3242	48	6	of	of	ADP
cana-3242	48	7	multimodal	multimodal	ADJ
cana-3242	48	8	clinical	clinical	ADJ
cana-3242	48	9	data	datum	NOUN
cana-3242	48	10	,	,	PUNCT
cana-3242	48	11	such	such	ADJ
cana-3242	48	12	as	as	ADP
cana-3242	48	13	patient	patient	NOUN
cana-3242	48	14	-	-	PUNCT
cana-3242	48	15	reported	report	VERB
cana-3242	48	16	symptoms	symptom	NOUN
cana-3242	48	17	,	,	PUNCT
cana-3242	48	18	medical	medical	ADJ
cana-3242	48	19	images	image	NOUN
cana-3242	48	20	,	,	PUNCT
cana-3242	48	21	and	and	CCONJ
cana-3242	48	22	laboratory	laboratory	NOUN
cana-3242	48	23	metrics	metric	NOUN
cana-3242	48	24	,	,	PUNCT
cana-3242	48	25	to	to	PART
cana-3242	48	26	achieve	achieve	VERB
cana-3242	48	27	comprehensive	comprehensive	ADJ
cana-3242	48	28	diagnostic	diagnostic	ADJ
cana-3242	48	29	assessments	assessment	NOUN
cana-3242	48	30	[	[	X
cana-3242	48	31	6	6	NUM
cana-3242	48	32	]	]	PUNCT
cana-3242	48	33	.	.	PUNCT
cana-3242	49	1	additionally	additionally	ADV
cana-3242	49	2	,	,	PUNCT
cana-3242	49	3	methods	method	NOUN
cana-3242	49	4	for	for	ADP
cana-3242	49	5	visualizing	visualize	VERB
cana-3242	49	6	and	and	CCONJ
cana-3242	49	7	explaining	explain	VERB
cana-3242	49	8	model	model	NOUN
cana-3242	49	9	outputs	output	NOUN
cana-3242	49	10	are	be	AUX
cana-3242	49	11	included	include	VERB
cana-3242	49	12	to	to	PART
cana-3242	49	13	ensure	ensure	VERB
cana-3242	49	14	that	that	SCONJ
cana-3242	49	15	the	the	DET
cana-3242	49	16	predictions	prediction	NOUN
cana-3242	49	17	can	can	AUX
cana-3242	49	18	be	be	AUX
cana-3242	49	19	validated	validate	VERB
cana-3242	49	20	and	and	CCONJ
cana-3242	49	21	understood	understand	VERB
cana-3242	49	22	by	by	ADP
cana-3242	49	23	medical	medical	ADJ
cana-3242	49	24	professionals	professional	NOUN
cana-3242	49	25	[	[	X
cana-3242	49	26	7	7	NUM
cana-3242	49	27	]	]	PUNCT
cana-3242	49	28	,	,	PUNCT
cana-3242	49	29	[	[	X
cana-3242	49	30	1	1	NUM
cana-3242	49	31	]	]	PUNCT
cana-3242	49	32	.	.	PUNCT
cana-3242	50	1	communications	communication	NOUN
cana-3242	50	2	on	on	ADP
cana-3242	50	3	applied	apply	VERB
cana-3242	50	4	nonlinear	nonlinear	ADJ
cana-3242	50	5	analysis	analysis	NOUN
cana-3242	50	6	issn	issn	NOUN
cana-3242	50	7	:	:	PUNCT
cana-3242	50	8	1074	1074	NUM
cana-3242	50	9	-	-	PUNCT
cana-3242	50	10	133x	133x	NUM
cana-3242	50	11	vol	vol	NOUN
cana-3242	50	12	32	32	NUM
cana-3242	50	13	no	no	NOUN
cana-3242	50	14	.	.	PUNCT
cana-3242	51	1	6s	6s	NUM
cana-3242	51	2	(	(	PUNCT
cana-3242	51	3	2025	2025	NUM
cana-3242	51	4	)	)	PUNCT
cana-3242	51	5	41	41	NUM
cana-3242	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	52	1	the	the	DET
cana-3242	52	2	study	study	NOUN
cana-3242	52	3	contributes	contribute	VERB
cana-3242	52	4	to	to	ADP
cana-3242	52	5	addressing	address	VERB
cana-3242	52	6	gaps	gap	NOUN
cana-3242	52	7	in	in	ADP
cana-3242	52	8	current	current	ADJ
cana-3242	52	9	diagnostic	diagnostic	ADJ
cana-3242	52	10	practices	practice	NOUN
cana-3242	52	11	by	by	ADP
cana-3242	52	12	providing	provide	VERB
cana-3242	52	13	a	a	DET
cana-3242	52	14	framework	framework	NOUN
cana-3242	52	15	for	for	ADP
cana-3242	52	16	integrating	integrate	VERB
cana-3242	52	17	and	and	CCONJ
cana-3242	52	18	interpreting	interpret	VERB
cana-3242	52	19	diverse	diverse	ADJ
cana-3242	52	20	clinical	clinical	ADJ
cana-3242	52	21	data	datum	NOUN
cana-3242	52	22	[	[	X
cana-3242	52	23	1	1	NUM
cana-3242	52	24	]	]	PUNCT
cana-3242	52	25	.	.	PUNCT
cana-3242	53	1	the	the	DET
cana-3242	53	2	approach	approach	NOUN
cana-3242	53	3	focuses	focus	VERB
cana-3242	53	4	on	on	ADP
cana-3242	53	5	presenting	present	VERB
cana-3242	53	6	actionable	actionable	ADJ
cana-3242	53	7	insights	insight	NOUN
cana-3242	53	8	for	for	ADP
cana-3242	53	9	early	early	ADJ
cana-3242	53	10	cancer	cancer	NOUN
cana-3242	53	11	detection	detection	NOUN
cana-3242	53	12	and	and	CCONJ
cana-3242	53	13	facilitating	facilitate	VERB
cana-3242	53	14	the	the	DET
cana-3242	53	15	incorporation	incorporation	NOUN
cana-3242	53	16	of	of	ADP
cana-3242	53	17	ai	ai	ADJ
cana-3242	53	18	-	-	PUNCT
cana-3242	53	19	driven	drive	VERB
cana-3242	53	20	models	model	NOUN
cana-3242	53	21	into	into	ADP
cana-3242	53	22	realworld	realworld	PROPN
cana-3242	53	23	medical	medical	ADJ
cana-3242	53	24	workflows	workflow	NOUN
cana-3242	53	25	[	[	X
cana-3242	53	26	6	6	NUM
cana-3242	53	27	]	]	PUNCT
cana-3242	53	28	.	.	PUNCT
cana-3242	54	1	the	the	DET
cana-3242	54	2	research	research	NOUN
cana-3242	54	3	also	also	ADV
cana-3242	54	4	emphasizes	emphasize	VERB
cana-3242	54	5	the	the	DET
cana-3242	54	6	importance	importance	NOUN
cana-3242	54	7	of	of	ADP
cana-3242	54	8	managing	manage	VERB
cana-3242	54	9	data	datum	NOUN
cana-3242	54	10	heterogeneity	heterogeneity	NOUN
cana-3242	54	11	and	and	CCONJ
cana-3242	54	12	ensuring	ensure	VERB
cana-3242	54	13	the	the	DET
cana-3242	54	14	reliability	reliability	NOUN
cana-3242	54	15	of	of	ADP
cana-3242	54	16	predictive	predictive	ADJ
cana-3242	54	17	outputs	output	NOUN
cana-3242	54	18	,	,	PUNCT
cana-3242	54	19	paving	pave	VERB
cana-3242	54	20	the	the	DET
cana-3242	54	21	way	way	NOUN
cana-3242	54	22	for	for	ADP
cana-3242	54	23	more	more	ADV
cana-3242	54	24	reliable	reliable	ADJ
cana-3242	54	25	diagnostic	diagnostic	ADJ
cana-3242	54	26	systems	system	NOUN
cana-3242	54	27	[	[	X
cana-3242	54	28	2	2	NUM
cana-3242	54	29	]	]	PUNCT
cana-3242	54	30	,	,	PUNCT
cana-3242	54	31	[	[	X
cana-3242	54	32	7	7	NUM
cana-3242	54	33	]	]	SYM
cana-3242	54	34	.	.	PUNCT
cana-3242	54	35	1	1	NUM
cana-3242	54	36	relatedwork	relatedwork	NOUN
cana-3242	54	37	the	the	DET
cana-3242	54	38	field	field	NOUN
cana-3242	54	39	of	of	ADP
cana-3242	54	40	cancer	cancer	NOUN
cana-3242	54	41	diagnostics	diagnostic	NOUN
cana-3242	54	42	has	have	AUX
cana-3242	54	43	seen	see	VERB
cana-3242	54	44	significant	significant	ADJ
cana-3242	54	45	exploration	exploration	NOUN
cana-3242	54	46	in	in	ADP
cana-3242	54	47	leveraging	leverage	VERB
cana-3242	54	48	advanced	advanced	ADJ
cana-3242	54	49	machine	machine	NOUN
cana-3242	54	50	learning	learning	NOUN
cana-3242	54	51	and	and	CCONJ
cana-3242	54	52	deep	deep	ADJ
cana-3242	54	53	learning	learning	NOUN
cana-3242	54	54	models	model	NOUN
cana-3242	54	55	.	.	PUNCT
cana-3242	55	1	these	these	DET
cana-3242	55	2	studies	study	NOUN
cana-3242	55	3	focus	focus	VERB
cana-3242	55	4	on	on	ADP
cana-3242	55	5	integrating	integrate	VERB
cana-3242	55	6	diverse	diverse	ADJ
cana-3242	55	7	data	datum	NOUN
cana-3242	55	8	modalities	modality	NOUN
cana-3242	55	9	,	,	PUNCT
cana-3242	55	10	enhancing	enhance	VERB
cana-3242	55	11	diagnostic	diagnostic	ADJ
cana-3242	55	12	accuracy	accuracy	NOUN
cana-3242	55	13	,	,	PUNCT
cana-3242	55	14	and	and	CCONJ
cana-3242	55	15	improving	improve	VERB
cana-3242	55	16	decision	decision	NOUN
cana-3242	55	17	-	-	PUNCT
cana-3242	55	18	making	making	NOUN
cana-3242	55	19	in	in	ADP
cana-3242	55	20	clinical	clinical	ADJ
cana-3242	55	21	workflows	workflow	NOUN
cana-3242	55	22	.	.	PUNCT
cana-3242	56	1	researchers	researcher	NOUN
cana-3242	56	2	have	have	AUX
cana-3242	56	3	proposed	propose	VERB
cana-3242	56	4	frameworks	framework	NOUN
cana-3242	56	5	that	that	PRON
cana-3242	56	6	analyze	analyze	VERB
cana-3242	56	7	imaging	imaging	NOUN
cana-3242	56	8	,	,	PUNCT
cana-3242	56	9	genomic	genomic	NOUN
cana-3242	56	10	,	,	PUNCT
cana-3242	56	11	and	and	CCONJ
cana-3242	56	12	clinical	clinical	ADJ
cana-3242	56	13	data	datum	NOUN
cana-3242	56	14	,	,	PUNCT
cana-3242	56	15	each	each	PRON
cana-3242	56	16	addressing	address	VERB
cana-3242	56	17	unique	unique	ADJ
cana-3242	56	18	challenges	challenge	NOUN
cana-3242	56	19	such	such	ADJ
cana-3242	56	20	as	as	ADP
cana-3242	56	21	data	datum	NOUN
cana-3242	56	22	heterogeneity	heterogeneity	NOUN
cana-3242	56	23	,	,	PUNCT
cana-3242	56	24	feature	feature	NOUN
cana-3242	56	25	selection	selection	NOUN
cana-3242	56	26	,	,	PUNCT
cana-3242	56	27	and	and	CCONJ
cana-3242	56	28	interpretability	interpretability	NOUN
cana-3242	56	29	.	.	PUNCT
cana-3242	57	1	while	while	SCONJ
cana-3242	57	2	single	single	ADJ
cana-3242	57	3	-	-	PUNCT
cana-3242	57	4	modality	modality	NOUN
cana-3242	57	5	models	model	NOUN
cana-3242	57	6	excel	excel	VERB
cana-3242	57	7	in	in	ADP
cana-3242	57	8	targeted	target	VERB
cana-3242	57	9	analysis	analysis	NOUN
cana-3242	57	10	,	,	PUNCT
cana-3242	57	11	multimodal	multimodal	ADJ
cana-3242	57	12	frameworks	framework	NOUN
cana-3242	57	13	demonstrate	demonstrate	VERB
cana-3242	57	14	potential	potential	ADJ
cana-3242	57	15	for	for	ADP
cana-3242	57	16	comprehensive	comprehensive	ADJ
cana-3242	57	17	diagnostics	diagnostic	NOUN
cana-3242	57	18	by	by	ADP
cana-3242	57	19	synthesizing	synthesize	VERB
cana-3242	57	20	complementary	complementary	ADJ
cana-3242	57	21	data	datum	NOUN
cana-3242	57	22	sources	source	NOUN
cana-3242	57	23	.	.	PUNCT
cana-3242	58	1	despite	despite	SCONJ
cana-3242	58	2	advancements	advancement	NOUN
cana-3242	58	3	,	,	PUNCT
cana-3242	58	4	gaps	gap	NOUN
cana-3242	58	5	persist	persist	VERB
cana-3242	58	6	in	in	ADP
cana-3242	58	7	handling	handle	VERB
cana-3242	58	8	missing	miss	VERB
cana-3242	58	9	data	datum	NOUN
cana-3242	58	10	,	,	PUNCT
cana-3242	58	11	ensuring	ensure	VERB
cana-3242	58	12	model	model	NOUN
cana-3242	58	13	transparency	transparency	NOUN
cana-3242	58	14	,	,	PUNCT
cana-3242	58	15	and	and	CCONJ
cana-3242	58	16	achieving	achieve	VERB
cana-3242	58	17	seamless	seamless	ADJ
cana-3242	58	18	integration	integration	NOUN
cana-3242	58	19	into	into	ADP
cana-3242	58	20	clinical	clinical	ADJ
cana-3242	58	21	environments	environment	NOUN
cana-3242	58	22	.	.	PUNCT
cana-3242	59	1	this	this	DET
cana-3242	59	2	section	section	NOUN
cana-3242	59	3	examines	examine	VERB
cana-3242	59	4	the	the	DET
cana-3242	59	5	methodologies	methodology	NOUN
cana-3242	59	6	,	,	PUNCT
cana-3242	59	7	contributions	contribution	NOUN
cana-3242	59	8	,	,	PUNCT
cana-3242	59	9	and	and	CCONJ
cana-3242	59	10	limitations	limitation	NOUN
cana-3242	59	11	of	of	ADP
cana-3242	59	12	existing	exist	VERB
cana-3242	59	13	approaches	approach	NOUN
cana-3242	59	14	,	,	PUNCT
cana-3242	59	15	emphasizing	emphasize	VERB
cana-3242	59	16	their	their	PRON
cana-3242	59	17	relevance	relevance	NOUN
cana-3242	59	18	to	to	ADP
cana-3242	59	19	current	current	ADJ
cana-3242	59	20	research	research	NOUN
cana-3242	59	21	challenges	challenge	NOUN
cana-3242	59	22	.	.	PUNCT
cana-3242	60	1	shamout	shamout	NOUN
cana-3242	60	2	et	et	PROPN
cana-3242	60	3	al	al	PROPN
cana-3242	60	4	.	.	PUNCT
cana-3242	61	1	[	[	X
cana-3242	61	2	8	8	NUM
cana-3242	61	3	]	]	PUNCT
cana-3242	61	4	describe	describe	VERB
cana-3242	61	5	a	a	DET
cana-3242	61	6	system	system	NOUN
cana-3242	61	7	named	name	VERB
cana-3242	61	8	dews	dew	NOUN
cana-3242	61	9	,	,	PUNCT
cana-3242	61	10	which	which	PRON
cana-3242	61	11	processes	process	VERB
cana-3242	61	12	symptom	symptom	NOUN
cana-3242	61	13	data	datum	NOUN
cana-3242	61	14	,	,	PUNCT
cana-3242	61	15	medical	medical	ADJ
cana-3242	61	16	images	image	NOUN
cana-3242	61	17	,	,	PUNCT
cana-3242	61	18	and	and	CCONJ
cana-3242	61	19	lab	lab	NOUN
cana-3242	61	20	results	result	NOUN
cana-3242	61	21	to	to	PART
cana-3242	61	22	predict	predict	VERB
cana-3242	61	23	blood	blood	NOUN
cana-3242	61	24	cancer	cancer	NOUN
cana-3242	61	25	.	.	PUNCT
cana-3242	62	1	a	a	DET
cana-3242	62	2	shap	shap	NOUN
cana-3242	62	3	-	-	PUNCT
cana-3242	62	4	based	base	VERB
cana-3242	62	5	interpretability	interpretability	NOUN
cana-3242	62	6	layer	layer	NOUN
cana-3242	62	7	allows	allow	VERB
cana-3242	62	8	the	the	DET
cana-3242	62	9	model	model	NOUN
cana-3242	62	10	to	to	PART
cana-3242	62	11	display	display	VERB
cana-3242	62	12	the	the	DET
cana-3242	62	13	importance	importance	NOUN
cana-3242	62	14	of	of	ADP
cana-3242	62	15	each	each	DET
cana-3242	62	16	input	input	NOUN
cana-3242	62	17	feature	feature	NOUN
cana-3242	62	18	.	.	PUNCT
cana-3242	63	1	the	the	DET
cana-3242	63	2	system	system	NOUN
cana-3242	63	3	achieves	achieve	VERB
cana-3242	63	4	strong	strong	ADJ
cana-3242	63	5	diagnostic	diagnostic	ADJ
cana-3242	63	6	accuracy	accuracy	NOUN
cana-3242	63	7	compared	compare	VERB
cana-3242	63	8	to	to	ADP
cana-3242	63	9	traditional	traditional	ADJ
cana-3242	63	10	scores	score	NOUN
cana-3242	63	11	like	like	ADP
cana-3242	63	12	news	news	NOUN
cana-3242	63	13	.	.	PUNCT
cana-3242	64	1	however	however	ADV
cana-3242	64	2	,	,	PUNCT
cana-3242	64	3	its	its	PRON
cana-3242	64	4	dependency	dependency	NOUN
cana-3242	64	5	on	on	ADP
cana-3242	64	6	extensive	extensive	ADJ
cana-3242	64	7	datasets	dataset	NOUN
cana-3242	64	8	and	and	CCONJ
cana-3242	64	9	limited	limited	ADJ
cana-3242	64	10	evaluation	evaluation	NOUN
cana-3242	64	11	across	across	ADP
cana-3242	64	12	various	various	ADJ
cana-3242	64	13	cancer	cancer	NOUN
cana-3242	64	14	types	type	NOUN
cana-3242	64	15	restrict	restrict	VERB
cana-3242	64	16	its	its	PRON
cana-3242	64	17	application	application	NOUN
cana-3242	64	18	to	to	ADP
cana-3242	64	19	settings	setting	NOUN
cana-3242	64	20	with	with	ADP
cana-3242	64	21	minimal	minimal	ADJ
cana-3242	64	22	resources	resource	NOUN
cana-3242	64	23	.	.	PUNCT
cana-3242	65	1	li	li	PROPN
cana-3242	65	2	et	et	PROPN
cana-3242	65	3	al	al	PROPN
cana-3242	65	4	.	.	PUNCT
cana-3242	66	1	[	[	X
cana-3242	66	2	9	9	X
cana-3242	66	3	]	]	X
cana-3242	66	4	propose	propose	VERB
cana-3242	66	5	a	a	DET
cana-3242	66	6	multimodal	multimodal	ADJ
cana-3242	66	7	model	model	NOUN
cana-3242	66	8	to	to	PART
cana-3242	66	9	predict	predict	VERB
cana-3242	66	10	cancer	cancer	NOUN
cana-3242	66	11	survival	survival	NOUN
cana-3242	66	12	by	by	ADP
cana-3242	66	13	synthesizing	synthesize	VERB
cana-3242	66	14	clinical	clinical	ADJ
cana-3242	66	15	,	,	PUNCT
cana-3242	66	16	genomic	genomic	NOUN
cana-3242	66	17	,	,	PUNCT
cana-3242	66	18	and	and	CCONJ
cana-3242	66	19	radiological	radiological	ADJ
cana-3242	66	20	data	datum	NOUN
cana-3242	66	21	.	.	PUNCT
cana-3242	67	1	the	the	DET
cana-3242	67	2	approach	approach	NOUN
cana-3242	67	3	uses	use	VERB
cana-3242	67	4	data	datum	NOUN
cana-3242	67	5	fusion	fusion	NOUN
cana-3242	67	6	to	to	PART
cana-3242	67	7	handle	handle	VERB
cana-3242	67	8	structured	structure	VERB
cana-3242	67	9	and	and	CCONJ
cana-3242	67	10	unstructured	unstructured	ADJ
cana-3242	67	11	inputs	input	NOUN
cana-3242	67	12	.	.	PUNCT
cana-3242	68	1	although	although	SCONJ
cana-3242	68	2	it	it	PRON
cana-3242	68	3	demonstrates	demonstrate	VERB
cana-3242	68	4	high	high	ADJ
cana-3242	68	5	prediction	prediction	NOUN
cana-3242	68	6	reliability	reliability	NOUN
cana-3242	68	7	,	,	PUNCT
cana-3242	68	8	the	the	DET
cana-3242	68	9	model	model	NOUN
cana-3242	68	10	does	do	AUX
cana-3242	68	11	not	not	PART
cana-3242	68	12	provide	provide	VERB
cana-3242	68	13	clear	clear	ADJ
cana-3242	68	14	strategies	strategy	NOUN
cana-3242	68	15	for	for	ADP
cana-3242	68	16	managing	manage	VERB
cana-3242	68	17	incomplete	incomplete	ADJ
cana-3242	68	18	datasets	dataset	NOUN
cana-3242	68	19	or	or	CCONJ
cana-3242	68	20	integrating	integrate	VERB
cana-3242	68	21	interpretability	interpretability	NOUN
cana-3242	68	22	tools	tool	NOUN
cana-3242	68	23	.	.	PUNCT
cana-3242	69	1	tang	tang	PROPN
cana-3242	69	2	et	et	PROPN
cana-3242	69	3	al	al	PROPN
cana-3242	69	4	.	.	PUNCT
cana-3242	70	1	[	[	X
cana-3242	70	2	10	10	NUM
cana-3242	70	3	]	]	PUNCT
cana-3242	70	4	,	,	PUNCT
cana-3242	70	5	park	park	NOUN
cana-3242	70	6	,	,	PUNCT
cana-3242	70	7	jiheum	jiheum	PROPN
cana-3242	70	8	et	et	PROPN
cana-3242	70	9	al	al	PROPN
cana-3242	70	10	.	.	PROPN
cana-3242	70	11	,	,	PUNCT
cana-3242	71	1	[	[	X
cana-3242	71	2	11	11	NUM
cana-3242	71	3	]	]	PUNCT
cana-3242	71	4	introduce	introduce	VERB
cana-3242	71	5	tsfs	tsfs	NOUN
cana-3242	71	6	-	-	PUNCT
cana-3242	71	7	tcem	tcem	NOUN
cana-3242	71	8	,	,	PUNCT
cana-3242	71	9	a	a	DET
cana-3242	71	10	two	two	NUM
cana-3242	71	11	-	-	PUNCT
cana-3242	71	12	stage	stage	NOUN
cana-3242	71	13	feature	feature	NOUN
cana-3242	71	14	selection	selection	NOUN
cana-3242	71	15	and	and	CCONJ
cana-3242	71	16	ensemble	ensemble	ADJ
cana-3242	71	17	classification	classification	NOUN
cana-3242	71	18	framework	framework	NOUN
cana-3242	71	19	for	for	ADP
cana-3242	71	20	cancer	cancer	NOUN
cana-3242	71	21	diagnosis	diagnosis	NOUN
cana-3242	71	22	.	.	PUNCT
cana-3242	72	1	by	by	ADP
cana-3242	72	2	eliminating	eliminate	VERB
cana-3242	72	3	irrelevant	irrelevant	ADJ
cana-3242	72	4	features	feature	NOUN
cana-3242	72	5	,	,	PUNCT
cana-3242	72	6	the	the	DET
cana-3242	72	7	framework	framework	NOUN
cana-3242	72	8	achieves	achieve	VERB
cana-3242	72	9	a	a	DET
cana-3242	72	10	diagnostic	diagnostic	ADJ
cana-3242	72	11	accuracy	accuracy	NOUN
cana-3242	72	12	of	of	ADP
cana-3242	72	13	99.64	99.64	NUM
cana-3242	72	14	%	%	NOUN
cana-3242	72	15	.	.	PUNCT
cana-3242	73	1	computational	computational	ADJ
cana-3242	73	2	demands	demand	NOUN
cana-3242	73	3	during	during	ADP
cana-3242	73	4	the	the	DET
cana-3242	73	5	feature	feature	NOUN
cana-3242	73	6	selection	selection	NOUN
cana-3242	73	7	phase	phase	NOUN
cana-3242	73	8	,	,	PUNCT
cana-3242	73	9	coupled	couple	VERB
cana-3242	73	10	with	with	ADP
cana-3242	73	11	a	a	DET
cana-3242	73	12	lack	lack	NOUN
cana-3242	73	13	of	of	ADP
cana-3242	73	14	multimodal	multimodal	NOUN
cana-3242	73	15	integration	integration	NOUN
cana-3242	73	16	,	,	PUNCT
cana-3242	73	17	limit	limit	VERB
cana-3242	73	18	its	its	PRON
cana-3242	73	19	adaptability	adaptability	NOUN
cana-3242	73	20	for	for	ADP
cana-3242	73	21	real	real	ADJ
cana-3242	73	22	-	-	PUNCT
cana-3242	73	23	time	time	NOUN
cana-3242	73	24	clinical	clinical	ADJ
cana-3242	73	25	use	use	NOUN
cana-3242	73	26	.	.	PUNCT
cana-3242	74	1	bukhari	bukhari	PROPN
cana-3242	74	2	et	et	PROPN
cana-3242	74	3	al	al	PROPN
cana-3242	74	4	.	.	PUNCT
cana-3242	75	1	[	[	X
cana-3242	75	2	12	12	NUM
cana-3242	75	3	]	]	PUNCT
cana-3242	75	4	design	design	NOUN
cana-3242	75	5	a	a	DET
cana-3242	75	6	cnn	cnn	PROPN
cana-3242	75	7	-	-	PUNCT
cana-3242	75	8	based	base	VERB
cana-3242	75	9	model	model	NOUN
cana-3242	75	10	to	to	PART
cana-3242	75	11	identify	identify	VERB
cana-3242	75	12	leukemia	leukemia	NOUN
cana-3242	75	13	subtypes	subtype	NOUN
cana-3242	75	14	using	use	VERB
cana-3242	75	15	blood	blood	NOUN
cana-3242	75	16	smear	smear	NOUN
cana-3242	75	17	images	image	NOUN
cana-3242	75	18	.	.	PUNCT
cana-3242	76	1	the	the	DET
cana-3242	76	2	model	model	NOUN
cana-3242	76	3	employs	employ	VERB
cana-3242	76	4	preprocessing	preprocesse	VERB
cana-3242	76	5	techniques	technique	NOUN
cana-3242	76	6	like	like	ADP
cana-3242	76	7	noise	noise	NOUN
cana-3242	76	8	reduction	reduction	NOUN
cana-3242	76	9	to	to	PART
cana-3242	76	10	improve	improve	VERB
cana-3242	76	11	input	input	NOUN
cana-3242	76	12	quality	quality	NOUN
cana-3242	76	13	.	.	PUNCT
cana-3242	77	1	the	the	DET
cana-3242	77	2	reliance	reliance	NOUN
cana-3242	77	3	on	on	ADP
cana-3242	77	4	imaging	imaging	NOUN
cana-3242	77	5	data	datum	NOUN
cana-3242	77	6	alone	alone	ADV
cana-3242	77	7	restricts	restrict	VERB
cana-3242	77	8	its	its	PRON
cana-3242	77	9	ability	ability	NOUN
cana-3242	77	10	to	to	PART
cana-3242	77	11	incorporate	incorporate	VERB
cana-3242	77	12	complementary	complementary	ADJ
cana-3242	77	13	diagnostic	diagnostic	ADJ
cana-3242	77	14	insights	insight	NOUN
cana-3242	77	15	from	from	ADP
cana-3242	77	16	symptoms	symptom	NOUN
cana-3242	77	17	or	or	CCONJ
cana-3242	77	18	lab	lab	NOUN
cana-3242	77	19	results	result	NOUN
cana-3242	77	20	.	.	PUNCT
cana-3242	78	1	without	without	ADP
cana-3242	78	2	a	a	DET
cana-3242	78	3	component	component	NOUN
cana-3242	78	4	to	to	PART
cana-3242	78	5	explain	explain	VERB
cana-3242	78	6	predictions	prediction	NOUN
cana-3242	78	7	,	,	PUNCT
cana-3242	78	8	its	its	PRON
cana-3242	78	9	utility	utility	NOUN
cana-3242	78	10	in	in	ADP
cana-3242	78	11	clinical	clinical	ADJ
cana-3242	78	12	environments	environment	NOUN
cana-3242	78	13	may	may	AUX
cana-3242	78	14	face	face	VERB
cana-3242	78	15	challenges	challenge	NOUN
cana-3242	78	16	.	.	PUNCT
cana-3242	79	1	ma	ma	PROPN
cana-3242	79	2	et	et	PROPN
cana-3242	79	3	al	al	PROPN
cana-3242	79	4	.	.	PUNCT
cana-3242	80	1	[	[	X
cana-3242	80	2	13	13	NUM
cana-3242	80	3	]	]	PUNCT
cana-3242	80	4	,	,	PUNCT
cana-3242	80	5	barillaro	barillaro	NOUN
cana-3242	80	6	,	,	PUNCT
cana-3242	80	7	luca	luca	PROPN
cana-3242	80	8	et	et	PROPN
cana-3242	80	9	al	al	PROPN
cana-3242	80	10	.	.	PROPN
cana-3242	80	11	,	,	PUNCT
cana-3242	81	1	[	[	X
cana-3242	81	2	14	14	NUM
cana-3242	81	3	]	]	PUNCT
cana-3242	81	4	develop	develop	VERB
cana-3242	81	5	an	an	DET
cana-3242	81	6	adaptive	adaptive	ADJ
cana-3242	81	7	framework	framework	NOUN
cana-3242	81	8	for	for	ADP
cana-3242	81	9	detecting	detect	VERB
cana-3242	81	10	head	head	NOUN
cana-3242	81	11	and	and	CCONJ
cana-3242	81	12	neck	neck	NOUN
cana-3242	81	13	cancer	cancer	NOUN
cana-3242	81	14	through	through	ADP
cana-3242	81	15	hyperspectral	hyperspectral	ADJ
cana-3242	81	16	imaging	imaging	NOUN
cana-3242	81	17	.	.	PUNCT
cana-3242	82	1	the	the	DET
cana-3242	82	2	model	model	NOUN
cana-3242	82	3	adjusts	adjust	VERB
cana-3242	82	4	to	to	ADP
cana-3242	82	5	tumor	tumor	NOUN
cana-3242	82	6	heterogeneity	heterogeneity	NOUN
cana-3242	82	7	,	,	PUNCT
cana-3242	82	8	providing	provide	VERB
cana-3242	82	9	high	high	ADJ
cana-3242	82	10	sensitivity	sensitivity	NOUN
cana-3242	82	11	and	and	CCONJ
cana-3242	82	12	specificity	specificity	NOUN
cana-3242	82	13	in	in	ADP
cana-3242	82	14	differentiating	differentiate	VERB
cana-3242	82	15	cancerous	cancerous	ADJ
cana-3242	82	16	and	and	CCONJ
cana-3242	82	17	non	non	ADJ
cana-3242	82	18	-	-	ADJ
cana-3242	82	19	cancerous	cancerous	ADJ
cana-3242	82	20	cases	case	NOUN
cana-3242	82	21	.	.	PUNCT
cana-3242	83	1	computational	computational	ADJ
cana-3242	83	2	communications	communication	NOUN
cana-3242	83	3	on	on	ADP
cana-3242	83	4	applied	apply	VERB
cana-3242	83	5	nonlinear	nonlinear	ADJ
cana-3242	83	6	analysis	analysis	NOUN
cana-3242	83	7	issn	issn	NOUN
cana-3242	83	8	:	:	PUNCT
cana-3242	83	9	1074	1074	NUM
cana-3242	83	10	-	-	PUNCT
cana-3242	83	11	133x	133x	NUM
cana-3242	83	12	vol	vol	NOUN
cana-3242	83	13	32	32	NUM
cana-3242	83	14	no	no	NOUN
cana-3242	83	15	.	.	PUNCT
cana-3242	84	1	6s	6s	NUM
cana-3242	84	2	(	(	PUNCT
cana-3242	84	3	2025	2025	NUM
cana-3242	84	4	)	)	PUNCT
cana-3242	84	5	42	42	NUM
cana-3242	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	84	7	overhead	overhead	ADV
cana-3242	84	8	and	and	CCONJ
cana-3242	84	9	a	a	DET
cana-3242	84	10	lack	lack	NOUN
cana-3242	84	11	of	of	ADP
cana-3242	84	12	tools	tool	NOUN
cana-3242	84	13	to	to	PART
cana-3242	84	14	explain	explain	VERB
cana-3242	84	15	results	result	NOUN
cana-3242	84	16	limit	limit	VERB
cana-3242	84	17	its	its	PRON
cana-3242	84	18	applicability	applicability	NOUN
cana-3242	84	19	in	in	ADP
cana-3242	84	20	clinical	clinical	ADJ
cana-3242	84	21	workflows	workflow	NOUN
cana-3242	84	22	where	where	SCONJ
cana-3242	84	23	realtime	realtime	NOUN
cana-3242	84	24	decisions	decision	NOUN
cana-3242	84	25	are	be	AUX
cana-3242	84	26	needed	need	VERB
cana-3242	84	27	.	.	PUNCT
cana-3242	85	1	robles	robles	PROPN
cana-3242	85	2	et	et	PROPN
cana-3242	85	3	al	al	PROPN
cana-3242	85	4	.	.	PUNCT
cana-3242	86	1	[	[	X
cana-3242	86	2	15	15	NUM
cana-3242	86	3	]	]	PUNCT
cana-3242	86	4	introduce	introduce	VERB
cana-3242	86	5	a	a	DET
cana-3242	86	6	neural	neural	ADJ
cana-3242	86	7	network	network	NOUN
cana-3242	86	8	for	for	ADP
cana-3242	86	9	cell	cell	NOUN
cana-3242	86	10	-	-	PUNCT
cana-3242	86	11	level	level	NOUN
cana-3242	86	12	cancer	cancer	NOUN
cana-3242	86	13	detection	detection	NOUN
cana-3242	86	14	,	,	PUNCT
cana-3242	86	15	processing	process	VERB
cana-3242	86	16	high	high	ADJ
cana-3242	86	17	-	-	PUNCT
cana-3242	86	18	resolution	resolution	NOUN
cana-3242	86	19	cellular	cellular	ADJ
cana-3242	86	20	images	image	NOUN
cana-3242	86	21	to	to	PART
cana-3242	86	22	classify	classify	VERB
cana-3242	86	23	abnormalities	abnormality	NOUN
cana-3242	86	24	.	.	PUNCT
cana-3242	87	1	the	the	DET
cana-3242	87	2	use	use	NOUN
cana-3242	87	3	of	of	ADP
cana-3242	87	4	image	image	NOUN
cana-3242	87	5	-	-	PUNCT
cana-3242	87	6	focused	focus	VERB
cana-3242	87	7	preprocessing	preprocessing	NOUN
cana-3242	87	8	enhances	enhance	NOUN
cana-3242	87	9	the	the	DET
cana-3242	87	10	clarity	clarity	NOUN
cana-3242	87	11	of	of	ADP
cana-3242	87	12	input	input	NOUN
cana-3242	87	13	data	datum	NOUN
cana-3242	87	14	.	.	PUNCT
cana-3242	88	1	however	however	ADV
cana-3242	88	2	,	,	PUNCT
cana-3242	88	3	the	the	DET
cana-3242	88	4	absence	absence	NOUN
cana-3242	88	5	of	of	ADP
cana-3242	88	6	clinical	clinical	ADJ
cana-3242	88	7	and	and	CCONJ
cana-3242	88	8	laboratory	laboratory	NOUN
cana-3242	88	9	data	datum	NOUN
cana-3242	88	10	integration	integration	NOUN
cana-3242	88	11	reduces	reduce	VERB
cana-3242	88	12	its	its	PRON
cana-3242	88	13	diagnostic	diagnostic	ADJ
cana-3242	88	14	scope	scope	NOUN
cana-3242	88	15	.	.	PUNCT
cana-3242	89	1	interpretability	interpretability	NOUN
cana-3242	89	2	remains	remain	VERB
cana-3242	89	3	a	a	DET
cana-3242	89	4	concern	concern	NOUN
cana-3242	89	5	,	,	PUNCT
cana-3242	89	6	as	as	SCONJ
cana-3242	89	7	the	the	DET
cana-3242	89	8	model	model	NOUN
cana-3242	89	9	provides	provide	VERB
cana-3242	89	10	no	no	DET
cana-3242	89	11	explanation	explanation	NOUN
cana-3242	89	12	for	for	ADP
cana-3242	89	13	its	its	PRON
cana-3242	89	14	decisions	decision	NOUN
cana-3242	89	15	.	.	PUNCT
cana-3242	90	1	koreddi	koreddi	PROPN
cana-3242	90	2	et	et	PROPN
cana-3242	90	3	al	al	PROPN
cana-3242	90	4	.	.	PUNCT
cana-3242	91	1	[	[	X
cana-3242	91	2	16	16	NUM
cana-3242	91	3	]	]	AUX
cana-3242	91	4	design	design	VERB
cana-3242	91	5	a	a	DET
cana-3242	91	6	hybrid	hybrid	NOUN
cana-3242	91	7	model	model	NOUN
cana-3242	91	8	combining	combine	VERB
cana-3242	91	9	genomic	genomic	ADJ
cana-3242	91	10	analysis	analysis	NOUN
cana-3242	91	11	with	with	ADP
cana-3242	91	12	clinical	clinical	ADJ
cana-3242	91	13	data	datum	NOUN
cana-3242	91	14	to	to	PART
cana-3242	91	15	identify	identify	VERB
cana-3242	91	16	early	early	ADJ
cana-3242	91	17	cancer	cancer	NOUN
cana-3242	91	18	markers	marker	NOUN
cana-3242	91	19	.	.	PUNCT
cana-3242	92	1	data	datum	NOUN
cana-3242	92	2	augmentation	augmentation	NOUN
cana-3242	92	3	addresses	address	NOUN
cana-3242	92	4	dataset	dataset	VERB
cana-3242	92	5	limitations	limitation	NOUN
cana-3242	92	6	,	,	PUNCT
cana-3242	92	7	while	while	SCONJ
cana-3242	92	8	the	the	DET
cana-3242	92	9	hybrid	hybrid	NOUN
cana-3242	92	10	design	design	NOUN
cana-3242	92	11	ensures	ensure	VERB
cana-3242	92	12	complementary	complementary	ADJ
cana-3242	92	13	features	feature	NOUN
cana-3242	92	14	are	be	AUX
cana-3242	92	15	analyzed	analyze	VERB
cana-3242	92	16	.	.	PUNCT
cana-3242	93	1	the	the	DET
cana-3242	93	2	framework	framework	NOUN
cana-3242	93	3	depends	depend	VERB
cana-3242	93	4	heavily	heavily	ADV
cana-3242	93	5	on	on	ADP
cana-3242	93	6	high	high	ADJ
cana-3242	93	7	-	-	PUNCT
cana-3242	93	8	quality	quality	NOUN
cana-3242	93	9	genomic	genomic	NOUN
cana-3242	93	10	data	datum	NOUN
cana-3242	93	11	,	,	PUNCT
cana-3242	93	12	making	make	VERB
cana-3242	93	13	it	it	PRON
cana-3242	93	14	less	less	ADV
cana-3242	93	15	useful	useful	ADJ
cana-3242	93	16	in	in	ADP
cana-3242	93	17	under	under	ADV
cana-3242	93	18	-	-	PUNCT
cana-3242	93	19	resourced	resource	VERB
cana-3242	93	20	settings	setting	NOUN
cana-3242	93	21	.	.	PUNCT
cana-3242	94	1	interpretability	interpretability	NOUN
cana-3242	94	2	features	feature	NOUN
cana-3242	94	3	are	be	AUX
cana-3242	94	4	absent	absent	ADJ
cana-3242	94	5	,	,	PUNCT
cana-3242	94	6	leaving	leave	VERB
cana-3242	94	7	clinicians	clinician	NOUN
cana-3242	94	8	with	with	ADP
cana-3242	94	9	little	little	ADJ
cana-3242	94	10	insight	insight	NOUN
cana-3242	94	11	into	into	ADP
cana-3242	94	12	the	the	DET
cana-3242	94	13	prediction	prediction	NOUN
cana-3242	94	14	process	process	NOUN
cana-3242	94	15	.	.	PUNCT
cana-3242	95	1	uthamacumaran	uthamacumaran	ADJ
cana-3242	95	2	et	et	PROPN
cana-3242	95	3	al	al	PROPN
cana-3242	95	4	.	.	PUNCT
cana-3242	96	1	[	[	X
cana-3242	96	2	17	17	NUM
cana-3242	96	3	]	]	PUNCT
cana-3242	96	4	explore	explore	VERB
cana-3242	96	5	a	a	DET
cana-3242	96	6	random	random	ADJ
cana-3242	96	7	forest	forest	NOUN
cana-3242	96	8	classifier	classifier	NOUN
cana-3242	96	9	to	to	PART
cana-3242	96	10	identify	identify	VERB
cana-3242	96	11	cancer	cancer	NOUN
cana-3242	96	12	subtypes	subtype	NOUN
cana-3242	96	13	using	use	VERB
cana-3242	96	14	clinical	clinical	ADJ
cana-3242	96	15	and	and	CCONJ
cana-3242	96	16	imaging	imaging	NOUN
cana-3242	96	17	data	datum	NOUN
cana-3242	96	18	.	.	PUNCT
cana-3242	97	1	with	with	ADP
cana-3242	97	2	a	a	DET
cana-3242	97	3	classification	classification	NOUN
cana-3242	97	4	accuracy	accuracy	NOUN
cana-3242	97	5	of	of	ADP
cana-3242	97	6	90	90	NUM
cana-3242	97	7	%	%	NOUN
cana-3242	97	8	,	,	PUNCT
cana-3242	97	9	the	the	DET
cana-3242	97	10	framework	framework	NOUN
cana-3242	97	11	handles	handle	VERB
cana-3242	97	12	cancer	cancer	NOUN
cana-3242	97	13	subtype	subtype	NOUN
cana-3242	97	14	classification	classification	NOUN
cana-3242	97	15	effectively	effectively	ADV
cana-3242	97	16	.	.	PUNCT
cana-3242	98	1	the	the	DET
cana-3242	98	2	study	study	NOUN
cana-3242	98	3	does	do	AUX
cana-3242	98	4	not	not	PART
cana-3242	98	5	address	address	VERB
cana-3242	98	6	generalizability	generalizability	NOUN
cana-3242	98	7	across	across	ADP
cana-3242	98	8	diverse	diverse	ADJ
cana-3242	98	9	patient	patient	ADJ
cana-3242	98	10	populations	population	NOUN
cana-3242	98	11	and	and	CCONJ
cana-3242	98	12	lacks	lack	VERB
cana-3242	98	13	mechanisms	mechanism	NOUN
cana-3242	98	14	to	to	PART
cana-3242	98	15	explain	explain	VERB
cana-3242	98	16	predictions	prediction	NOUN
cana-3242	98	17	.	.	PUNCT
cana-3242	99	1	kumar	kumar	PROPN
cana-3242	99	2	et	et	PROPN
cana-3242	99	3	al	al	PROPN
cana-3242	99	4	.	.	PUNCT
cana-3242	100	1	[	[	X
cana-3242	100	2	18	18	NUM
cana-3242	100	3	]	]	X
cana-3242	100	4	propose	propose	VERB
cana-3242	100	5	a	a	DET
cana-3242	100	6	neural	neural	ADJ
cana-3242	100	7	learning	learning	NOUN
cana-3242	100	8	classifier	classifier	NOUN
cana-3242	100	9	for	for	ADP
cana-3242	100	10	early	early	ADJ
cana-3242	100	11	-	-	PUNCT
cana-3242	100	12	stage	stage	NOUN
cana-3242	100	13	cancer	cancer	NOUN
cana-3242	100	14	detection	detection	NOUN
cana-3242	100	15	,	,	PUNCT
cana-3242	100	16	combining	combine	VERB
cana-3242	100	17	imaging	imaging	NOUN
cana-3242	100	18	and	and	CCONJ
cana-3242	100	19	clinical	clinical	ADJ
cana-3242	100	20	data	datum	NOUN
cana-3242	100	21	.	.	PUNCT
cana-3242	101	1	the	the	DET
cana-3242	101	2	model	model	NOUN
cana-3242	101	3	achieves	achieve	VERB
cana-3242	101	4	an	an	DET
cana-3242	101	5	average	average	ADJ
cana-3242	101	6	accuracy	accuracy	NOUN
cana-3242	101	7	of	of	ADP
cana-3242	101	8	95	95	NUM
cana-3242	101	9	%	%	NOUN
cana-3242	101	10	in	in	ADP
cana-3242	101	11	cancer	cancer	NOUN
cana-3242	101	12	classification	classification	NOUN
cana-3242	101	13	.	.	PUNCT
cana-3242	102	1	its	its	PRON
cana-3242	102	2	dependency	dependency	NOUN
cana-3242	102	3	on	on	ADP
cana-3242	102	4	consistent	consistent	ADJ
cana-3242	102	5	,	,	PUNCT
cana-3242	102	6	high	high	ADJ
cana-3242	102	7	-	-	PUNCT
cana-3242	102	8	quality	quality	NOUN
cana-3242	102	9	input	input	NOUN
cana-3242	102	10	data	datum	NOUN
cana-3242	102	11	and	and	CCONJ
cana-3242	102	12	the	the	DET
cana-3242	102	13	absence	absence	NOUN
cana-3242	102	14	of	of	ADP
cana-3242	102	15	an	an	DET
cana-3242	102	16	interpretability	interpretability	NOUN
cana-3242	102	17	module	module	NOUN
cana-3242	102	18	reduce	reduce	VERB
cana-3242	102	19	its	its	PRON
cana-3242	102	20	potential	potential	NOUN
cana-3242	102	21	for	for	ADP
cana-3242	102	22	deployment	deployment	NOUN
cana-3242	102	23	in	in	ADP
cana-3242	102	24	real	real	ADJ
cana-3242	102	25	-	-	PUNCT
cana-3242	102	26	world	world	NOUN
cana-3242	102	27	clinical	clinical	ADJ
cana-3242	102	28	scenarios	scenario	NOUN
cana-3242	102	29	.	.	PUNCT
cana-3242	103	1	tanabe	tanabe	PROPN
cana-3242	103	2	et	et	PROPN
cana-3242	103	3	al	al	PROPN
cana-3242	103	4	.	.	PUNCT
cana-3242	104	1	[	[	X
cana-3242	104	2	19	19	NUM
cana-3242	104	3	]	]	PUNCT
cana-3242	104	4	review	review	NOUN
cana-3242	104	5	ai	ai	NOUN
cana-3242	104	6	models	model	NOUN
cana-3242	104	7	applied	apply	VERB
cana-3242	104	8	to	to	ADP
cana-3242	104	9	cancer	cancer	NOUN
cana-3242	104	10	recognition	recognition	NOUN
cana-3242	104	11	,	,	PUNCT
cana-3242	104	12	such	such	ADJ
cana-3242	104	13	as	as	ADP
cana-3242	104	14	random	random	ADJ
cana-3242	104	15	forest	forest	NOUN
cana-3242	104	16	and	and	CCONJ
cana-3242	104	17	cnn	cnn	PROPN
cana-3242	104	18	,	,	PUNCT
cana-3242	104	19	focusing	focus	VERB
cana-3242	104	20	on	on	ADP
cana-3242	104	21	single	single	ADJ
cana-3242	104	22	-	-	PUNCT
cana-3242	104	23	modality	modality	NOUN
cana-3242	104	24	applications	application	NOUN
cana-3242	104	25	.	.	PUNCT
cana-3242	105	1	the	the	DET
cana-3242	105	2	article	article	NOUN
cana-3242	105	3	highlights	highlight	VERB
cana-3242	105	4	the	the	DET
cana-3242	105	5	need	need	NOUN
cana-3242	105	6	for	for	ADP
cana-3242	105	7	multimodal	multimodal	NOUN
cana-3242	105	8	integration	integration	NOUN
cana-3242	105	9	and	and	CCONJ
cana-3242	105	10	tools	tool	NOUN
cana-3242	105	11	to	to	PART
cana-3242	105	12	enhance	enhance	VERB
cana-3242	105	13	interpretability	interpretability	NOUN
cana-3242	105	14	.	.	PUNCT
cana-3242	106	1	the	the	DET
cana-3242	106	2	absence	absence	NOUN
cana-3242	106	3	of	of	ADP
cana-3242	106	4	detailed	detailed	ADJ
cana-3242	106	5	implementation	implementation	NOUN
cana-3242	106	6	methods	method	NOUN
cana-3242	106	7	limits	limit	VERB
cana-3242	106	8	its	its	PRON
cana-3242	106	9	contribution	contribution	NOUN
cana-3242	106	10	to	to	ADP
cana-3242	106	11	theoretical	theoretical	ADJ
cana-3242	106	12	insights	insight	NOUN
cana-3242	106	13	.	.	PUNCT
cana-3242	107	1	jaiswal	jaiswal	PROPN
cana-3242	107	2	et	et	PROPN
cana-3242	107	3	al	al	PROPN
cana-3242	107	4	.	.	PUNCT
cana-3242	108	1	[	[	X
cana-3242	108	2	20	20	NUM
cana-3242	108	3	]	]	PUNCT
cana-3242	108	4	review	review	VERB
cana-3242	108	5	blood	blood	NOUN
cana-3242	108	6	cancer	cancer	NOUN
cana-3242	108	7	detection	detection	NOUN
cana-3242	108	8	advancements	advancement	NOUN
cana-3242	108	9	,	,	PUNCT
cana-3242	108	10	discussing	discuss	VERB
cana-3242	108	11	the	the	DET
cana-3242	108	12	challenges	challenge	NOUN
cana-3242	108	13	of	of	ADP
cana-3242	108	14	handling	handle	VERB
cana-3242	108	15	heterogeneous	heterogeneous	ADJ
cana-3242	108	16	datasets	dataset	NOUN
cana-3242	108	17	and	and	CCONJ
cana-3242	108	18	the	the	DET
cana-3242	108	19	variability	variability	NOUN
cana-3242	108	20	in	in	ADP
cana-3242	108	21	existing	exist	VERB
cana-3242	108	22	methods	method	NOUN
cana-3242	108	23	.	.	PUNCT
cana-3242	109	1	the	the	DET
cana-3242	109	2	paper	paper	NOUN
cana-3242	109	3	provides	provide	VERB
cana-3242	109	4	valuable	valuable	ADJ
cana-3242	109	5	observations	observation	NOUN
cana-3242	109	6	but	but	CCONJ
cana-3242	109	7	does	do	AUX
cana-3242	109	8	not	not	PART
cana-3242	109	9	propose	propose	VERB
cana-3242	109	10	any	any	DET
cana-3242	109	11	specific	specific	ADJ
cana-3242	109	12	solutions	solution	NOUN
cana-3242	109	13	or	or	CCONJ
cana-3242	109	14	new	new	ADJ
cana-3242	109	15	frameworks	framework	NOUN
cana-3242	109	16	.	.	PUNCT
cana-3242	110	1	iqbal	iqbal	PROPN
cana-3242	110	2	et	et	PROPN
cana-3242	110	3	al	al	PROPN
cana-3242	110	4	.	.	PUNCT
cana-3242	111	1	[	[	X
cana-3242	111	2	21	21	NUM
cana-3242	111	3	]	]	PUNCT
cana-3242	111	4	examine	examine	VERB
cana-3242	111	5	the	the	DET
cana-3242	111	6	clinical	clinical	ADJ
cana-3242	111	7	uses	use	NOUN
cana-3242	111	8	of	of	ADP
cana-3242	111	9	ai	ai	VERB
cana-3242	111	10	in	in	ADP
cana-3242	111	11	cancer	cancer	NOUN
cana-3242	111	12	diagnostics	diagnostic	NOUN
cana-3242	111	13	,	,	PUNCT
cana-3242	111	14	focusing	focus	VERB
cana-3242	111	15	on	on	ADP
cana-3242	111	16	molecular	molecular	ADJ
cana-3242	111	17	,	,	PUNCT
cana-3242	111	18	imaging	imaging	NOUN
cana-3242	111	19	,	,	PUNCT
cana-3242	111	20	and	and	CCONJ
cana-3242	111	21	symptom	symptom	NOUN
cana-3242	111	22	data	datum	NOUN
cana-3242	111	23	.	.	PUNCT
cana-3242	112	1	the	the	DET
cana-3242	112	2	article	article	NOUN
cana-3242	112	3	presents	present	VERB
cana-3242	112	4	broad	broad	ADJ
cana-3242	112	5	perspectives	perspective	NOUN
cana-3242	112	6	on	on	ADP
cana-3242	112	7	ai	ai	PROPN
cana-3242	112	8	’s	’s	PART
cana-3242	112	9	potential	potential	NOUN
cana-3242	112	10	but	but	CCONJ
cana-3242	112	11	lacks	lack	VERB
cana-3242	112	12	concrete	concrete	ADJ
cana-3242	112	13	methodologies	methodology	NOUN
cana-3242	112	14	or	or	CCONJ
cana-3242	112	15	performance	performance	NOUN
cana-3242	112	16	analysis	analysis	NOUN
cana-3242	112	17	,	,	PUNCT
cana-3242	112	18	limiting	limit	VERB
cana-3242	112	19	its	its	PRON
cana-3242	112	20	relevance	relevance	NOUN
cana-3242	112	21	for	for	ADP
cana-3242	112	22	practical	practical	ADJ
cana-3242	112	23	applications	application	NOUN
cana-3242	112	24	.	.	PUNCT
cana-3242	113	1	preetha	preetha	PROPN
cana-3242	113	2	et	et	PROPN
cana-3242	113	3	al	al	PROPN
cana-3242	113	4	.	.	PUNCT
cana-3242	114	1	[	[	X
cana-3242	114	2	22	22	NUM
cana-3242	114	3	]	]	PUNCT
cana-3242	114	4	survey	survey	NOUN
cana-3242	114	5	machine	machine	NOUN
cana-3242	114	6	learning	learn	VERB
cana-3242	114	7	algorithms	algorithm	NOUN
cana-3242	114	8	like	like	ADP
cana-3242	114	9	random	random	ADJ
cana-3242	114	10	forest	forest	NOUN
cana-3242	114	11	and	and	CCONJ
cana-3242	114	12	svm	svm	VERB
cana-3242	114	13	for	for	ADP
cana-3242	114	14	cancer	cancer	NOUN
cana-3242	114	15	detection	detection	NOUN
cana-3242	114	16	,	,	PUNCT
cana-3242	114	17	comparing	compare	VERB
cana-3242	114	18	their	their	PRON
cana-3242	114	19	performance	performance	NOUN
cana-3242	114	20	.	.	PUNCT
cana-3242	115	1	challenges	challenge	NOUN
cana-3242	115	2	in	in	ADP
cana-3242	115	3	managing	manage	VERB
cana-3242	115	4	imbalanced	imbalanced	ADJ
cana-3242	115	5	datasets	dataset	NOUN
cana-3242	115	6	and	and	CCONJ
cana-3242	115	7	integrating	integrate	VERB
cana-3242	115	8	multimodal	multimodal	NOUN
cana-3242	115	9	inputs	input	NOUN
cana-3242	115	10	are	be	AUX
cana-3242	115	11	noted	note	VERB
cana-3242	115	12	,	,	PUNCT
cana-3242	115	13	but	but	CCONJ
cana-3242	115	14	the	the	DET
cana-3242	115	15	paper	paper	NOUN
cana-3242	115	16	does	do	AUX
cana-3242	115	17	not	not	PART
cana-3242	115	18	suggest	suggest	VERB
cana-3242	115	19	actionable	actionable	ADJ
cana-3242	115	20	solutions	solution	NOUN
cana-3242	115	21	or	or	CCONJ
cana-3242	115	22	test	test	NOUN
cana-3242	115	23	novel	novel	ADJ
cana-3242	115	24	methods	method	NOUN
cana-3242	115	25	.	.	PUNCT
cana-3242	116	1	the	the	DET
cana-3242	116	2	reviewed	review	VERB
cana-3242	116	3	articles	article	NOUN
cana-3242	116	4	address	address	VERB
cana-3242	116	5	diverse	diverse	ADJ
cana-3242	116	6	aspects	aspect	NOUN
cana-3242	116	7	of	of	ADP
cana-3242	116	8	cancer	cancer	NOUN
cana-3242	116	9	diagnostics	diagnostic	NOUN
cana-3242	116	10	,	,	PUNCT
cana-3242	116	11	ranging	range	VERB
cana-3242	116	12	from	from	ADP
cana-3242	116	13	multimodal	multimodal	ADJ
cana-3242	116	14	frameworks	framework	NOUN
cana-3242	116	15	to	to	ADP
cana-3242	116	16	imaging	imaging	NOUN
cana-3242	116	17	-	-	PUNCT
cana-3242	116	18	focused	focus	VERB
cana-3242	116	19	approaches	approach	NOUN
cana-3242	116	20	and	and	CCONJ
cana-3242	116	21	theoretical	theoretical	ADJ
cana-3242	116	22	insights	insight	NOUN
cana-3242	116	23	.	.	PUNCT
cana-3242	117	1	multimodal	multimodal	NOUN
cana-3242	117	2	models	model	NOUN
cana-3242	117	3	,	,	PUNCT
cana-3242	117	4	such	such	ADJ
cana-3242	117	5	as	as	ADP
cana-3242	117	6	those	those	PRON
cana-3242	117	7	by	by	ADP
cana-3242	117	8	shamout	shamout	NOUN
cana-3242	117	9	et	et	PROPN
cana-3242	117	10	al	al	PROPN
cana-3242	117	11	.	.	PUNCT
cana-3242	118	1	[	[	X
cana-3242	118	2	8	8	NUM
cana-3242	118	3	]	]	PUNCT
cana-3242	118	4	and	and	CCONJ
cana-3242	118	5	li	li	PROPN
cana-3242	118	6	et	et	PROPN
cana-3242	118	7	al	al	PROPN
cana-3242	118	8	.	.	PUNCT
cana-3242	119	1	[	[	X
cana-3242	119	2	9	9	NUM
cana-3242	119	3	]	]	PUNCT
cana-3242	119	4	,	,	PUNCT
cana-3242	119	5	excel	excel	VERB
cana-3242	119	6	in	in	ADP
cana-3242	119	7	combining	combine	VERB
cana-3242	119	8	diverse	diverse	ADJ
cana-3242	119	9	data	datum	NOUN
cana-3242	119	10	but	but	CCONJ
cana-3242	119	11	struggle	struggle	NOUN
cana-3242	119	12	with	with	ADP
cana-3242	119	13	missing	miss	VERB
cana-3242	119	14	data	datum	NOUN
cana-3242	119	15	and	and	CCONJ
cana-3242	119	16	interpretability	interpretability	NOUN
cana-3242	119	17	.	.	PUNCT
cana-3242	120	1	imaging	imaging	NOUN
cana-3242	120	2	-	-	PUNCT
cana-3242	120	3	based	base	VERB
cana-3242	120	4	studies	study	NOUN
cana-3242	120	5	,	,	PUNCT
cana-3242	120	6	including	include	VERB
cana-3242	120	7	bukhari	bukhari	PROPN
cana-3242	120	8	et	et	PROPN
cana-3242	120	9	al	al	PROPN
cana-3242	120	10	.	.	PUNCT
cana-3242	121	1	[	[	X
cana-3242	121	2	12	12	NUM
cana-3242	121	3	]	]	PUNCT
cana-3242	121	4	and	and	CCONJ
cana-3242	121	5	ma	ma	PROPN
cana-3242	121	6	et	et	PROPN
cana-3242	121	7	al	al	PROPN
cana-3242	121	8	.	.	PUNCT
cana-3242	122	1	[	[	X
cana-3242	122	2	13	13	NUM
cana-3242	122	3	]	]	PUNCT
cana-3242	122	4	,	,	PUNCT
cana-3242	122	5	provide	provide	VERB
cana-3242	122	6	precise	precise	ADJ
cana-3242	122	7	analyses	analysis	NOUN
cana-3242	122	8	but	but	CCONJ
cana-3242	122	9	lack	lack	NOUN
cana-3242	122	10	integration	integration	NOUN
cana-3242	122	11	with	with	ADP
cana-3242	122	12	other	other	ADJ
cana-3242	122	13	diagnostic	diagnostic	ADJ
cana-3242	122	14	data	datum	NOUN
cana-3242	122	15	.	.	PUNCT
cana-3242	123	1	reviews	review	NOUN
cana-3242	123	2	highlight	highlight	VERB
cana-3242	123	3	existing	exist	VERB
cana-3242	123	4	gaps	gap	NOUN
cana-3242	123	5	but	but	CCONJ
cana-3242	123	6	often	often	ADV
cana-3242	123	7	fail	fail	VERB
cana-3242	123	8	to	to	PART
cana-3242	123	9	propose	propose	VERB
cana-3242	123	10	concrete	concrete	ADJ
cana-3242	123	11	frameworks	framework	NOUN
cana-3242	123	12	for	for	ADP
cana-3242	123	13	addressing	address	VERB
cana-3242	123	14	them	they	PRON
cana-3242	123	15	.	.	PUNCT
cana-3242	124	1	future	future	ADJ
cana-3242	124	2	research	research	NOUN
cana-3242	124	3	must	must	AUX
cana-3242	124	4	focus	focus	VERB
cana-3242	124	5	on	on	ADP
cana-3242	124	6	creating	create	VERB
cana-3242	124	7	communications	communication	NOUN
cana-3242	124	8	on	on	ADP
cana-3242	124	9	applied	apply	VERB
cana-3242	124	10	nonlinear	nonlinear	ADJ
cana-3242	124	11	analysis	analysis	NOUN
cana-3242	124	12	issn	issn	NOUN
cana-3242	124	13	:	:	PUNCT
cana-3242	124	14	1074	1074	NUM
cana-3242	124	15	-	-	PUNCT
cana-3242	124	16	133x	133x	NUM
cana-3242	124	17	vol	vol	NOUN
cana-3242	124	18	32	32	NUM
cana-3242	124	19	no	no	NOUN
cana-3242	124	20	.	.	PUNCT
cana-3242	125	1	6s	6s	NUM
cana-3242	125	2	(	(	PUNCT
cana-3242	125	3	2025	2025	NUM
cana-3242	125	4	)	)	PUNCT
cana-3242	125	5	43	43	NUM
cana-3242	126	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	126	2	interpretable	interpretable	ADJ
cana-3242	126	3	,	,	PUNCT
cana-3242	126	4	scalable	scalable	ADJ
cana-3242	126	5	models	model	NOUN
cana-3242	126	6	capable	capable	ADJ
cana-3242	126	7	of	of	ADP
cana-3242	126	8	managing	manage	VERB
cana-3242	126	9	heterogeneous	heterogeneous	ADJ
cana-3242	126	10	datasets	dataset	NOUN
cana-3242	126	11	while	while	SCONJ
cana-3242	126	12	meeting	meet	VERB
cana-3242	126	13	clinical	clinical	ADJ
cana-3242	126	14	requirements	requirement	NOUN
cana-3242	126	15	for	for	ADP
cana-3242	126	16	usability	usability	NOUN
cana-3242	126	17	and	and	CCONJ
cana-3242	126	18	reliability	reliability	NOUN
cana-3242	126	19	.	.	PUNCT
cana-3242	127	1	2	2	NUM
cana-3242	127	2	methods	method	NOUN
cana-3242	127	3	and	and	CCONJ
cana-3242	127	4	materials	material	NOUN
cana-3242	127	5	figure	figure	NOUN
cana-3242	127	6	1	1	NUM
cana-3242	127	7	:	:	PUNCT
cana-3242	127	8	framework	framework	NOUN
cana-3242	127	9	for	for	ADP
cana-3242	127	10	multimodal	multimodal	NOUN
cana-3242	127	11	and	and	CCONJ
cana-3242	127	12	interpretable	interpretable	ADJ
cana-3242	127	13	deep	deep	ADJ
cana-3242	127	14	learning	learning	NOUN
cana-3242	127	15	in	in	ADP
cana-3242	127	16	blood	blood	NOUN
cana-3242	127	17	cancer	cancer	NOUN
cana-3242	127	18	detection	detection	NOUN
cana-3242	127	19	the	the	DET
cana-3242	127	20	diagram	diagram	NOUN
cana-3242	127	21	shown	show	VERB
cana-3242	127	22	in	in	ADP
cana-3242	127	23	figure	figure	NOUN
cana-3242	127	24	1	1	NUM
cana-3242	127	25	framework	framework	NOUN
cana-3242	127	26	that	that	PRON
cana-3242	127	27	combines	combine	VERB
cana-3242	127	28	three	three	NUM
cana-3242	127	29	types	type	NOUN
cana-3242	127	30	of	of	ADP
cana-3242	127	31	clinical	clinical	ADJ
cana-3242	127	32	data	datum	NOUN
cana-3242	127	33	:	:	PUNCT
cana-3242	127	34	symptoms	symptom	NOUN
cana-3242	127	35	,	,	PUNCT
cana-3242	127	36	medical	medical	ADJ
cana-3242	127	37	images	image	NOUN
cana-3242	127	38	,	,	PUNCT
cana-3242	127	39	and	and	CCONJ
cana-3242	127	40	lab	lab	NOUN
cana-3242	127	41	test	test	NOUN
cana-3242	127	42	results	result	NOUN
cana-3242	127	43	.	.	PUNCT
cana-3242	128	1	each	each	DET
cana-3242	128	2	type	type	NOUN
cana-3242	128	3	of	of	ADP
cana-3242	128	4	data	datum	NOUN
cana-3242	128	5	undergoes	undergo	VERB
cana-3242	128	6	specific	specific	ADJ
cana-3242	128	7	preprocessing	preprocessing	NOUN
cana-3242	128	8	to	to	PART
cana-3242	128	9	prepare	prepare	VERB
cana-3242	128	10	it	it	PRON
cana-3242	128	11	for	for	ADP
cana-3242	128	12	analysis	analysis	NOUN
cana-3242	128	13	.	.	PUNCT
cana-3242	129	1	symptoms	symptom	NOUN
cana-3242	129	2	are	be	AUX
cana-3242	129	3	represented	represent	VERB
cana-3242	129	4	as	as	ADP
cana-3242	129	5	graphs	graph	NOUN
cana-3242	129	6	that	that	PRON
cana-3242	129	7	capture	capture	VERB
cana-3242	129	8	their	their	PRON
cana-3242	129	9	relationships	relationship	NOUN
cana-3242	129	10	.	.	PUNCT
cana-3242	130	1	medical	medical	ADJ
cana-3242	130	2	images	image	NOUN
cana-3242	130	3	are	be	AUX
cana-3242	130	4	processed	process	VERB
cana-3242	130	5	with	with	ADP
cana-3242	130	6	self	self	NOUN
cana-3242	130	7	-	-	PUNCT
cana-3242	130	8	supervised	supervise	VERB
cana-3242	130	9	learning	learning	NOUN
cana-3242	130	10	methods	method	NOUN
cana-3242	130	11	to	to	PART
cana-3242	130	12	identify	identify	VERB
cana-3242	130	13	key	key	ADJ
cana-3242	130	14	patterns	pattern	NOUN
cana-3242	130	15	.	.	PUNCT
cana-3242	131	1	missing	miss	VERB
cana-3242	131	2	lab	lab	NOUN
cana-3242	131	3	values	value	NOUN
cana-3242	131	4	are	be	AUX
cana-3242	131	5	predicted	predict	VERB
cana-3242	131	6	using	use	VERB
cana-3242	131	7	generative	generative	ADJ
cana-3242	131	8	models	model	NOUN
cana-3242	131	9	.	.	PUNCT
cana-3242	132	1	after	after	ADP
cana-3242	132	2	preprocessing	preprocesse	VERB
cana-3242	132	3	,	,	PUNCT
cana-3242	132	4	data	datum	NOUN
cana-3242	132	5	is	be	AUX
cana-3242	132	6	analyzed	analyze	VERB
cana-3242	132	7	through	through	ADP
cana-3242	132	8	specialized	specialized	ADJ
cana-3242	132	9	components	component	NOUN
cana-3242	132	10	.	.	PUNCT
cana-3242	133	1	a	a	DET
cana-3242	133	2	transformer	transformer	NOUN
cana-3242	133	3	-	-	PUNCT
cana-3242	133	4	based	base	VERB
cana-3242	133	5	model	model	NOUN
cana-3242	133	6	processes	process	NOUN
cana-3242	133	7	symptoms	symptom	NOUN
cana-3242	133	8	,	,	PUNCT
cana-3242	133	9	a	a	DET
cana-3242	133	10	hybrid	hybrid	ADJ
cana-3242	133	11	vision	vision	NOUN
cana-3242	133	12	transformer	transformer	NOUN
cana-3242	133	13	and	and	CCONJ
cana-3242	133	14	cnn	cnn	PROPN
cana-3242	133	15	analyzes	analyze	VERB
cana-3242	133	16	imaging	imaging	NOUN
cana-3242	133	17	data	datum	NOUN
cana-3242	133	18	,	,	PUNCT
cana-3242	133	19	and	and	CCONJ
cana-3242	133	20	an	an	DET
cana-3242	133	21	attention	attention	NOUN
cana-3242	133	22	-	-	PUNCT
cana-3242	133	23	driven	drive	VERB
cana-3242	133	24	module	module	NOUN
cana-3242	133	25	examines	examine	VERB
cana-3242	133	26	lab	lab	NOUN
cana-3242	133	27	results	result	NOUN
cana-3242	133	28	.	.	PUNCT
cana-3242	134	1	a	a	DET
cana-3242	134	2	gated	gate	VERB
cana-3242	134	3	attention	attention	NOUN
cana-3242	134	4	mechanism	mechanism	NOUN
cana-3242	134	5	integrates	integrate	VERB
cana-3242	134	6	these	these	DET
cana-3242	134	7	outputs	output	NOUN
cana-3242	134	8	,	,	PUNCT
cana-3242	134	9	combining	combine	VERB
cana-3242	134	10	them	they	PRON
cana-3242	134	11	into	into	ADP
cana-3242	134	12	a	a	DET
cana-3242	134	13	single	single	ADJ
cana-3242	134	14	representation	representation	NOUN
cana-3242	134	15	.	.	PUNCT
cana-3242	135	1	the	the	DET
cana-3242	135	2	combined	combined	ADJ
cana-3242	135	3	data	datum	NOUN
cana-3242	135	4	is	be	AUX
cana-3242	135	5	used	use	VERB
cana-3242	135	6	for	for	ADP
cana-3242	135	7	predicting	predict	VERB
cana-3242	135	8	blood	blood	NOUN
cana-3242	135	9	cancer	cancer	NOUN
cana-3242	135	10	.	.	PUNCT
cana-3242	136	1	tools	tool	NOUN
cana-3242	136	2	like	like	ADP
cana-3242	136	3	shap	shap	NOUN
cana-3242	136	4	and	and	CCONJ
cana-3242	136	5	layer	layer	NOUN
cana-3242	136	6	-	-	PUNCT
cana-3242	136	7	wise	wise	ADJ
cana-3242	136	8	relevance	relevance	NOUN
cana-3242	136	9	propagation	propagation	NOUN
cana-3242	136	10	are	be	AUX
cana-3242	136	11	included	include	VERB
cana-3242	136	12	to	to	PART
cana-3242	136	13	explain	explain	VERB
cana-3242	136	14	the	the	DET
cana-3242	136	15	model	model	NOUN
cana-3242	136	16	’s	’s	PART
cana-3242	136	17	decisions	decision	NOUN
cana-3242	136	18	,	,	PUNCT
cana-3242	136	19	providing	provide	VERB
cana-3242	136	20	insights	insight	NOUN
cana-3242	136	21	into	into	ADP
cana-3242	136	22	which	which	PRON
cana-3242	136	23	features	feature	NOUN
cana-3242	136	24	contributed	contribute	VERB
cana-3242	136	25	to	to	ADP
cana-3242	136	26	the	the	DET
cana-3242	136	27	results	result	NOUN
cana-3242	136	28	.	.	PUNCT
cana-3242	137	1	outputs	output	NOUN
cana-3242	137	2	consist	consist	VERB
cana-3242	137	3	of	of	ADP
cana-3242	137	4	early	early	ADJ
cana-3242	137	5	detection	detection	NOUN
cana-3242	137	6	results	result	NOUN
cana-3242	137	7	and	and	CCONJ
cana-3242	137	8	explanations	explanation	NOUN
cana-3242	137	9	that	that	PRON
cana-3242	137	10	align	align	VERB
cana-3242	137	11	with	with	ADP
cana-3242	137	12	clinical	clinical	ADJ
cana-3242	137	13	data	datum	NOUN
cana-3242	137	14	.	.	PUNCT
cana-3242	138	1	2.1	2.1	NUM
cana-3242	138	2	data	datum	NOUN
cana-3242	138	3	collection	collection	NOUN
cana-3242	138	4	and	and	CCONJ
cana-3242	138	5	preprocessing	preprocesse	VERB
cana-3242	138	6	this	this	DET
cana-3242	138	7	section	section	NOUN
cana-3242	138	8	explains	explain	VERB
cana-3242	138	9	how	how	SCONJ
cana-3242	138	10	patient	patient	ADJ
cana-3242	138	11	data	data	NOUN
cana-3242	138	12	is	be	AUX
cana-3242	138	13	collected	collect	VERB
cana-3242	138	14	and	and	CCONJ
cana-3242	138	15	processed	process	VERB
cana-3242	138	16	to	to	PART
cana-3242	138	17	prepare	prepare	VERB
cana-3242	138	18	it	it	PRON
cana-3242	138	19	for	for	ADP
cana-3242	138	20	the	the	DET
cana-3242	138	21	proposed	propose	VERB
cana-3242	138	22	framework	framework	NOUN
cana-3242	138	23	.	.	PUNCT
cana-3242	139	1	three	three	NUM
cana-3242	139	2	methods	method	NOUN
cana-3242	139	3	are	be	AUX
cana-3242	139	4	used	use	VERB
cana-3242	139	5	:	:	PUNCT
cana-3242	139	6	dynamic	dynamic	ADJ
cana-3242	139	7	symptom	symptom	NOUN
cana-3242	139	8	embedding	embed	VERB
cana-3242	139	9	,	,	PUNCT
cana-3242	139	10	self	self	NOUN
cana-3242	139	11	-supervised	-supervised	ADJ
cana-3242	139	12	image	image	NOUN
cana-3242	139	13	preprocessing	preprocessing	NOUN
cana-3242	139	14	,	,	PUNCT
cana-3242	139	15	and	and	CCONJ
cana-3242	139	16	adaptive	adaptive	ADJ
cana-3242	139	17	missing	missing	ADJ
cana-3242	139	18	data	datum	NOUN
cana-3242	139	19	imputation	imputation	NOUN
cana-3242	139	20	.	.	PUNCT
cana-3242	140	1	dynamic	dynamic	ADJ
cana-3242	140	2	symptom	symptom	NOUN
cana-3242	140	3	embedding	embed	VERB
cana-3242	140	4	:	:	PUNCT
cana-3242	140	5	patient	patient	ADJ
cana-3242	140	6	symptoms	symptom	NOUN
cana-3242	140	7	are	be	AUX
cana-3242	140	8	encoded	encode	VERB
cana-3242	140	9	using	use	VERB
cana-3242	140	10	a	a	DET
cana-3242	140	11	graph	graph	NOUN
cana-3242	140	12	-	-	PUNCT
cana-3242	140	13	based	base	VERB
cana-3242	140	14	symptom	symptom	NOUN
cana-3242	140	15	relationship	relationship	NOUN
cana-3242	140	16	model	model	NOUN
cana-3242	140	17	.	.	PUNCT
cana-3242	141	1	each	each	DET
cana-3242	141	2	symptom	symptom	NOUN
cana-3242	141	3	is	be	AUX
cana-3242	141	4	treated	treat	VERB
cana-3242	141	5	as	as	ADP
cana-3242	141	6	a	a	DET
cana-3242	141	7	node	node	NOUN
cana-3242	141	8	,	,	PUNCT
cana-3242	141	9	and	and	CCONJ
cana-3242	141	10	edges	edge	NOUN
cana-3242	141	11	represent	represent	VERB
cana-3242	141	12	relationships	relationship	NOUN
cana-3242	141	13	between	between	ADP
cana-3242	141	14	symptoms	symptom	NOUN
cana-3242	141	15	,	,	PUNCT
cana-3242	141	16	such	such	ADJ
cana-3242	141	17	as	as	ADP
cana-3242	141	18	co	co	NOUN
cana-3242	141	19	-	-	NOUN
cana-3242	141	20	occurrence	occurrence	ADJ
cana-3242	141	21	or	or	CCONJ
cana-3242	141	22	medical	medical	ADJ
cana-3242	141	23	correlations	correlation	NOUN
cana-3242	141	24	.	.	PUNCT
cana-3242	142	1	the	the	DET
cana-3242	142	2	adjacency	adjacency	PROPN
cana-3242	142	3	matrix	matrix	NOUN
cana-3242	142	4	𝐴	𝐴	PROPN
cana-3242	142	5	captures	capture	VERB
cana-3242	142	6	these	these	DET
cana-3242	142	7	relationships	relationship	NOUN
cana-3242	142	8	,	,	PUNCT
cana-3242	142	9	where	where	SCONJ
cana-3242	142	10	𝐴𝑖𝑗	𝐴𝑖𝑗	PROPN
cana-3242	142	11	is	be	AUX
cana-3242	142	12	1	1	NUM
cana-3242	142	13	if	if	SCONJ
cana-3242	142	14	symptoms	symptom	NOUN
cana-3242	142	15	𝑖	𝑖	X
cana-3242	142	16	and	and	CCONJ
cana-3242	142	17	𝑗	𝑗	PROPN
cana-3242	142	18	are	be	AUX
cana-3242	142	19	related	relate	VERB
cana-3242	142	20	and	and	CCONJ
cana-3242	142	21	0	0	NUM
cana-3242	142	22	otherwise	otherwise	ADV
cana-3242	142	23	.	.	PUNCT
cana-3242	143	1	to	to	PART
cana-3242	143	2	encode	encode	VERB
cana-3242	143	3	symptoms	symptom	NOUN
cana-3242	143	4	:	:	PUNCT
cana-3242	143	5	communications	communication	NOUN
cana-3242	143	6	on	on	ADP
cana-3242	143	7	applied	apply	VERB
cana-3242	143	8	nonlinear	nonlinear	ADJ
cana-3242	143	9	analysis	analysis	NOUN
cana-3242	143	10	issn	issn	NOUN
cana-3242	143	11	:	:	PUNCT
cana-3242	143	12	1074	1074	NUM
cana-3242	143	13	-	-	PUNCT
cana-3242	143	14	133x	133x	NUM
cana-3242	143	15	vol	vol	NOUN
cana-3242	143	16	32	32	NUM
cana-3242	143	17	no	no	NOUN
cana-3242	143	18	.	.	PUNCT
cana-3242	144	1	6s	6s	NUM
cana-3242	144	2	(	(	PUNCT
cana-3242	144	3	2025	2025	NUM
cana-3242	144	4	)	)	PUNCT
cana-3242	144	5	44	44	NUM
cana-3242	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	144	7	1	1	X
cana-3242	144	8	.	.	PUNCT
cana-3242	144	9	represent	represent	VERB
cana-3242	144	10	symptoms	symptom	NOUN
cana-3242	144	11	as	as	ADP
cana-3242	144	12	feature	feature	NOUN
cana-3242	144	13	vectors	vector	NOUN
cana-3242	144	14	𝑋	𝑋	NOUN
cana-3242	144	15	with	with	ADP
cana-3242	144	16	dimensions	dimension	NOUN
cana-3242	144	17	corresponding	correspond	VERB
cana-3242	144	18	to	to	ADP
cana-3242	144	19	their	their	PRON
cana-3242	144	20	attributes	attribute	NOUN
cana-3242	144	21	(	(	PUNCT
cana-3242	144	22	e.g.	e.g.	ADJ
cana-3242	144	23	,	,	PUNCT
cana-3242	144	24	frequency	frequency	NOUN
cana-3242	144	25	,	,	PUNCT
cana-3242	144	26	severity	severity	NOUN
cana-3242	144	27	)	)	PUNCT
cana-3242	144	28	.	.	PUNCT
cana-3242	145	1	2	2	X
cana-3242	145	2	.	.	X
cana-3242	145	3	apply	apply	VERB
cana-3242	145	4	graph	graph	NOUN
cana-3242	145	5	neural	neural	ADJ
cana-3242	145	6	networks	network	NOUN
cana-3242	145	7	(	(	PUNCT
cana-3242	145	8	gnns	gnns	NOUN
cana-3242	145	9	)	)	PUNCT
cana-3242	145	10	to	to	PART
cana-3242	145	11	process	process	VERB
cana-3242	145	12	the	the	DET
cana-3242	145	13	symptom	symptom	NOUN
cana-3242	145	14	graph	graph	NOUN
cana-3242	145	15	:	:	PUNCT
cana-3242	145	16	𝐻(𝑙+1	𝐻(𝑙+1	NOUN
cana-3242	145	17	)	)	PUNCT
cana-3242	145	18	=	=	SYM
cana-3242	145	19	𝜎(𝐴𝐻	𝜎(𝐴𝐻	NUM
cana-3242	145	20	(	(	PUNCT
cana-3242	145	21	𝑙)𝑊(𝑙	𝑙)𝑊(𝑙	NOUN
cana-3242	145	22	)	)	PUNCT
cana-3242	145	23	)	)	PUNCT
cana-3242	146	1	where	where	SCONJ
cana-3242	146	2	:	:	PUNCT
cana-3242	146	3	−	−	PROPN
cana-3242	146	4	𝐻(𝑙	𝐻(𝑙	NUM
cana-3242	146	5	)	)	PUNCT
cana-3242	146	6	is	be	AUX
cana-3242	146	7	the	the	DET
cana-3242	146	8	node	node	ADJ
cana-3242	146	9	feature	feature	NOUN
cana-3242	146	10	matrix	matrix	NOUN
cana-3242	146	11	at	at	ADP
cana-3242	146	12	layer	layer	NOUN
cana-3242	146	13	𝑙	𝑙	NOUN
cana-3242	146	14	,	,	PUNCT
cana-3242	146	15	−	−	PRON
cana-3242	146	16	𝑊(𝑙	𝑊(𝑙	NOUN
cana-3242	146	17	)	)	PUNCT
cana-3242	146	18	is	be	AUX
cana-3242	146	19	the	the	DET
cana-3242	146	20	weight	weight	NOUN
cana-3242	146	21	matrix	matrix	NOUN
cana-3242	146	22	for	for	ADP
cana-3242	146	23	layer	layer	NOUN
cana-3242	146	24	𝑙	𝑙	NOUN
cana-3242	146	25	,	,	PUNCT
cana-3242	146	26	−	−	PROPN
cana-3242	146	27	𝜎	𝜎	PROPN
cana-3242	146	28	is	be	AUX
cana-3242	146	29	the	the	DET
cana-3242	146	30	activation	activation	NOUN
cana-3242	146	31	function	function	NOUN
cana-3242	146	32	.	.	PUNCT
cana-3242	147	1	the	the	DET
cana-3242	147	2	final	final	ADJ
cana-3242	147	3	output	output	NOUN
cana-3242	147	4	𝐻(𝐿	𝐻(𝐿	NOUN
cana-3242	147	5	)	)	PUNCT
cana-3242	147	6	is	be	AUX
cana-3242	147	7	a	a	DET
cana-3242	147	8	context	context	NOUN
cana-3242	147	9	-	-	PUNCT
cana-3242	147	10	aware	aware	ADJ
cana-3242	147	11	embedding	embedding	NOUN
cana-3242	147	12	of	of	ADP
cana-3242	147	13	symptoms	symptom	NOUN
cana-3242	147	14	,	,	PUNCT
cana-3242	147	15	capturing	capture	VERB
cana-3242	147	16	their	their	PRON
cana-3242	147	17	relationships	relationship	NOUN
cana-3242	147	18	.	.	PUNCT
cana-3242	148	1	self	self	NOUN
cana-3242	148	2	-	-	PUNCT
cana-3242	148	3	supervised	supervise	VERB
cana-3242	148	4	image	image	NOUN
cana-3242	148	5	preprocessing	preprocessing	NOUN
cana-3242	148	6	:	:	PUNCT
cana-3242	148	7	medical	medical	ADJ
cana-3242	148	8	imaging	imaging	NOUN
cana-3242	148	9	data	datum	NOUN
cana-3242	148	10	often	often	ADV
cana-3242	148	11	lacks	lack	VERB
cana-3242	148	12	extensive	extensive	ADJ
cana-3242	148	13	annotations	annotation	NOUN
cana-3242	148	14	.	.	PUNCT
cana-3242	149	1	to	to	PART
cana-3242	149	2	handle	handle	VERB
cana-3242	149	3	this	this	PRON
cana-3242	149	4	,	,	PUNCT
cana-3242	149	5	a	a	DET
cana-3242	149	6	vision	vision	NOUN
cana-3242	149	7	transformer	transformer	NOUN
cana-3242	149	8	(	(	PUNCT
cana-3242	149	9	vit	vit	NOUN
cana-3242	149	10	)	)	PUNCT
cana-3242	149	11	is	be	AUX
cana-3242	149	12	pretrained	pretraine	VERB
cana-3242	149	13	using	use	VERB
cana-3242	149	14	self	self	NOUN
cana-3242	149	15	-	-	PUNCT
cana-3242	149	16	supervised	supervise	VERB
cana-3242	149	17	learning	learning	NOUN
cana-3242	149	18	on	on	ADP
cana-3242	149	19	unlabelled	unlabelled	ADJ
cana-3242	149	20	medical	medical	ADJ
cana-3242	149	21	images	image	NOUN
cana-3242	149	22	.	.	PUNCT
cana-3242	150	1	this	this	DET
cana-3242	150	2	process	process	NOUN
cana-3242	150	3	involves	involve	VERB
cana-3242	150	4	two	two	NUM
cana-3242	150	5	steps	step	NOUN
cana-3242	150	6	:	:	PUNCT
cana-3242	150	7	1	1	X
cana-3242	150	8	.	.	X
cana-3242	150	9	patch	patch	NOUN
cana-3242	150	10	-	-	PUNCT
cana-3242	150	11	based	base	VERB
cana-3242	150	12	input	input	NOUN
cana-3242	150	13	representation	representation	NOUN
cana-3242	150	14	:	:	PUNCT
cana-3242	150	15	−	−	PUNCT
cana-3242	150	16	an	an	DET
cana-3242	150	17	image	image	NOUN
cana-3242	150	18	𝐼	𝐼	ADP
cana-3242	150	19	of	of	ADP
cana-3242	150	20	size	size	NOUN
cana-3242	150	21	𝐻	𝐻	PROPN
cana-3242	150	22	×𝑊	×𝑊	NOUN
cana-3242	150	23	is	be	AUX
cana-3242	150	24	divided	divide	VERB
cana-3242	150	25	into	into	ADP
cana-3242	150	26	smaller	small	ADJ
cana-3242	150	27	patches	patch	NOUN
cana-3242	150	28	of	of	ADP
cana-3242	150	29	size	size	NOUN
cana-3242	150	30	𝑃	𝑃	NOUN
cana-3242	150	31	×	×	NOUN
cana-3242	150	32	𝑃.	𝑃.	PROPN
cana-3242	150	33	−	−	NOUN
cana-3242	150	34	each	each	DET
cana-3242	150	35	patch	patch	NOUN
cana-3242	150	36	is	be	AUX
cana-3242	150	37	flattened	flatten	VERB
cana-3242	150	38	and	and	CCONJ
cana-3242	150	39	projected	project	VERB
cana-3242	150	40	into	into	ADP
cana-3242	150	41	a	a	DET
cana-3242	150	42	lower	lower	ADV
cana-3242	150	43	-	-	PUNCT
cana-3242	150	44	dimensional	dimensional	ADJ
cana-3242	150	45	space	space	NOUN
cana-3242	150	46	using	use	VERB
cana-3242	150	47	:	:	PUNCT
cana-3242	150	48	𝑧	𝑧	PROPN
cana-3242	150	49	=	=	PUNCT
cana-3242	150	50	𝑊𝑝	𝑊𝑝	PROPN
cana-3242	150	51	⋅	⋅	PROPN
cana-3242	150	52	flatten(𝐼𝑝	flatten(𝐼𝑝	PROPN
cana-3242	150	53	)	)	PUNCT
cana-3242	151	1	+	+	CCONJ
cana-3242	151	2	𝑏	𝑏	X
cana-3242	151	3	where	where	SCONJ
cana-3242	151	4	:	:	PUNCT
cana-3242	151	5	▪	▪	ADV
cana-3242	151	6	𝐼𝑝	𝐼𝑝	PROPN
cana-3242	151	7	is	be	AUX
cana-3242	151	8	the	the	DET
cana-3242	151	9	𝑝-th	𝑝-th	PROPN
cana-3242	151	10	patch	patch	NOUN
cana-3242	151	11	,	,	PUNCT
cana-3242	151	12	▪	▪	ADJ
cana-3242	151	13	𝑊𝑝	𝑊𝑝	PROPN
cana-3242	151	14	is	be	AUX
cana-3242	151	15	the	the	DET
cana-3242	151	16	patch	patch	NOUN
cana-3242	151	17	embedding	embed	VERB
cana-3242	151	18	weight	weight	NOUN
cana-3242	151	19	matrix	matrix	NOUN
cana-3242	151	20	.	.	PUNCT
cana-3242	152	1	2	2	X
cana-3242	152	2	.	.	X
cana-3242	152	3	pretraining	pretraine	VERB
cana-3242	152	4	with	with	ADP
cana-3242	152	5	masked	masked	ADJ
cana-3242	152	6	image	image	NOUN
cana-3242	152	7	modeling	modeling	NOUN
cana-3242	152	8	:	:	PUNCT
cana-3242	152	9	a	a	DET
cana-3242	152	10	portion	portion	NOUN
cana-3242	152	11	of	of	ADP
cana-3242	152	12	image	image	NOUN
cana-3242	152	13	patches	patch	NOUN
cana-3242	152	14	is	be	AUX
cana-3242	152	15	masked	mask	VERB
cana-3242	152	16	(	(	PUNCT
cana-3242	152	17	hidden	hidden	ADJ
cana-3242	152	18	)	)	PUNCT
cana-3242	152	19	,	,	PUNCT
cana-3242	152	20	and	and	CCONJ
cana-3242	152	21	the	the	DET
cana-3242	152	22	model	model	NOUN
cana-3242	152	23	predicts	predict	VERB
cana-3242	152	24	the	the	DET
cana-3242	152	25	masked	masked	ADJ
cana-3242	152	26	content	content	NOUN
cana-3242	152	27	.	.	PUNCT
cana-3242	153	1	loss	loss	NOUN
cana-3242	153	2	is	be	AUX
cana-3242	153	3	calculated	calculate	VERB
cana-3242	153	4	as	as	ADP
cana-3242	153	5	:	:	PUNCT
cana-3242	153	6	ℒ𝑚𝑠𝑒	ℒ𝑚𝑠𝑒	PROPN
cana-3242	153	7	=	=	SYM
cana-3242	153	8	1	1	NUM
cana-3242	153	9	𝑁	𝑁	PROPN
cana-3242	153	10	∑𝑁	∑𝑁	PROPN
cana-3242	153	11	𝑖=1	𝑖=1	PUNCT
cana-3242	153	12	∥	∥	PUNCT
cana-3242	154	1	𝐼𝑝	𝐼𝑝	PROPN
cana-3242	154	2	−	−	PUNCT
cana-3242	154	3	𝐼𝑝	𝐼𝑝	PROPN
cana-3242	154	4	∥	∥	X
cana-3242	154	5	2	2	NUM
cana-3242	154	6	where	where	SCONJ
cana-3242	154	7	:	:	PUNCT
cana-3242	154	8	▪	▪	ADV
cana-3242	154	9	𝐼𝑝	𝐼𝑝	PROPN
cana-3242	154	10	is	be	AUX
cana-3242	154	11	the	the	DET
cana-3242	154	12	predicted	predict	VERB
cana-3242	154	13	patch	patch	NOUN
cana-3242	154	14	,	,	PUNCT
cana-3242	154	15	▪	▪	ADJ
cana-3242	154	16	𝐼𝑝	𝐼𝑝	PROPN
cana-3242	154	17	is	be	AUX
cana-3242	154	18	the	the	DET
cana-3242	154	19	actual	actual	ADJ
cana-3242	154	20	patch	patch	NOUN
cana-3242	154	21	.	.	PUNCT
cana-3242	155	1	the	the	DET
cana-3242	155	2	pretrained	pretraine	VERB
cana-3242	155	3	vit	vit	NOUN
cana-3242	155	4	generates	generate	VERB
cana-3242	155	5	robust	robust	ADJ
cana-3242	155	6	features	feature	NOUN
cana-3242	155	7	for	for	ADP
cana-3242	155	8	downstream	downstream	ADJ
cana-3242	155	9	tasks	task	NOUN
cana-3242	155	10	,	,	PUNCT
cana-3242	155	11	reducing	reduce	VERB
cana-3242	155	12	dependency	dependency	NOUN
cana-3242	155	13	on	on	ADP
cana-3242	155	14	labeled	label	VERB
cana-3242	155	15	data	datum	NOUN
cana-3242	155	16	.	.	PUNCT
cana-3242	156	1	adaptive	adaptive	ADJ
cana-3242	156	2	missing	miss	VERB
cana-3242	156	3	data	datum	NOUN
cana-3242	156	4	imputation	imputation	NOUN
cana-3242	156	5	:	:	PUNCT
cana-3242	156	6	laboratory	laboratory	NOUN
cana-3242	156	7	data	datum	NOUN
cana-3242	156	8	often	often	ADV
cana-3242	156	9	has	have	AUX
cana-3242	156	10	missing	miss	VERB
cana-3242	156	11	values	value	NOUN
cana-3242	156	12	due	due	ADP
cana-3242	156	13	to	to	ADP
cana-3242	156	14	incomplete	incomplete	ADJ
cana-3242	156	15	tests	test	NOUN
cana-3242	156	16	.	.	PUNCT
cana-3242	157	1	generative	generative	ADJ
cana-3242	157	2	adversarial	adversarial	ADJ
cana-3242	157	3	networks	network	NOUN
cana-3242	157	4	(	(	PUNCT
cana-3242	157	5	gans	gan	NOUN
cana-3242	157	6	)	)	PUNCT
cana-3242	157	7	are	be	AUX
cana-3242	157	8	used	use	VERB
cana-3242	157	9	to	to	PART
cana-3242	157	10	impute	impute	VERB
cana-3242	157	11	these	these	DET
cana-3242	157	12	missing	miss	VERB
cana-3242	157	13	values	value	NOUN
cana-3242	157	14	.	.	PUNCT
cana-3242	158	1	1	1	X
cana-3242	158	2	.	.	X
cana-3242	158	3	gan	gan	ADJ
cana-3242	158	4	architecture	architecture	NOUN
cana-3242	158	5	:	:	PUNCT
cana-3242	158	6	generator	generator	PROPN
cana-3242	158	7	𝑮	𝑮	PROPN
cana-3242	158	8	:	:	PUNCT
cana-3242	158	9	fills	fill	VERB
cana-3242	158	10	missing	miss	VERB
cana-3242	158	11	values	value	NOUN
cana-3242	158	12	based	base	VERB
cana-3242	158	13	on	on	ADP
cana-3242	158	14	the	the	DET
cana-3242	158	15	observed	observe	VERB
cana-3242	158	16	data	datum	NOUN
cana-3242	158	17	.	.	PUNCT
cana-3242	159	1	discriminator	discriminator	PROPN
cana-3242	159	2	𝑫	𝑫	PROPN
cana-3242	159	3	:	:	PUNCT
cana-3242	159	4	distinguishes	distinguish	VERB
cana-3242	159	5	between	between	ADP
cana-3242	159	6	real	real	ADJ
cana-3242	159	7	and	and	CCONJ
cana-3242	159	8	imputed	imputed	ADJ
cana-3242	159	9	data	datum	NOUN
cana-3242	159	10	.	.	PUNCT
cana-3242	160	1	2	2	X
cana-3242	160	2	.	.	X
cana-3242	160	3	training	training	NOUN
cana-3242	160	4	:	:	PUNCT
cana-3242	160	5	for	for	ADP
cana-3242	160	6	a	a	DET
cana-3242	160	7	sample	sample	NOUN
cana-3242	160	8	𝑥	𝑥	NOUN
cana-3242	160	9	with	with	ADP
cana-3242	160	10	missing	miss	VERB
cana-3242	160	11	values	value	NOUN
cana-3242	160	12	𝑀	𝑀	PROPN
cana-3242	160	13	,	,	PUNCT
cana-3242	160	14	the	the	DET
cana-3242	160	15	generator	generator	NOUN
cana-3242	160	16	produces	produce	VERB
cana-3242	160	17	�	�	PROPN
cana-3242	160	18	̂	̂	NOUN
cana-3242	160	19	�	�	PROPN
cana-3242	160	20	,	,	PUNCT
cana-3242	160	21	where	where	SCONJ
cana-3242	160	22	:	:	PUNCT
cana-3242	160	23	communications	communication	NOUN
cana-3242	160	24	on	on	ADP
cana-3242	160	25	applied	apply	VERB
cana-3242	160	26	nonlinear	nonlinear	ADJ
cana-3242	160	27	analysis	analysis	NOUN
cana-3242	160	28	issn	issn	NOUN
cana-3242	160	29	:	:	PUNCT
cana-3242	160	30	1074	1074	NUM
cana-3242	160	31	-	-	PUNCT
cana-3242	160	32	133x	133x	NUM
cana-3242	160	33	vol	vol	NOUN
cana-3242	160	34	32	32	NUM
cana-3242	160	35	no	no	NOUN
cana-3242	160	36	.	.	PUNCT
cana-3242	161	1	6s	6s	NUM
cana-3242	161	2	(	(	PUNCT
cana-3242	161	3	2025	2025	NUM
cana-3242	161	4	)	)	PUNCT
cana-3242	161	5	45	45	NUM
cana-3242	161	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	161	7	�	�	PROPN
cana-3242	161	8	̂	̂	VERB
cana-3242	161	9	�	�	NOUN
cana-3242	161	10	=	=	SYM
cana-3242	161	11	𝑀⊙	𝑀⊙	NOUN
cana-3242	161	12	𝑥	𝑥	NOUN
cana-3242	161	13	+	+	CCONJ
cana-3242	161	14	(	(	PUNCT
cana-3242	161	15	1−	1−	NUM
cana-3242	161	16	𝑀)⊙𝐺(𝑧,𝑀	𝑀)⊙𝐺(𝑧,𝑀	NUM
cana-3242	161	17	)	)	PUNCT
cana-3242	161	18	𝑧	𝑧	PROPN
cana-3242	161	19	is	be	AUX
cana-3242	161	20	random	random	ADJ
cana-3242	161	21	noise	noise	NOUN
cana-3242	161	22	,	,	PUNCT
cana-3242	161	23	and	and	CCONJ
cana-3242	161	24	⊙	⊙	NOUN
cana-3242	161	25	represents	represent	VERB
cana-3242	161	26	element	element	ADJ
cana-3242	161	27	-	-	ADJ
cana-3242	161	28	wise	wise	ADJ
cana-3242	161	29	multiplication	multiplication	NOUN
cana-3242	161	30	.	.	PUNCT
cana-3242	162	1	the	the	DET
cana-3242	162	2	discriminator	discriminator	NOUN
cana-3242	162	3	tries	try	VERB
cana-3242	162	4	to	to	PART
cana-3242	162	5	classify	classify	VERB
cana-3242	162	6	�	�	NUM
cana-3242	162	7	̂	̂	VERB
cana-3242	162	8	�	�	PROPN
cana-3242	162	9	as	as	ADP
cana-3242	162	10	fake	fake	ADJ
cana-3242	162	11	and	and	CCONJ
cana-3242	162	12	real	real	ADJ
cana-3242	162	13	samples	sample	NOUN
cana-3242	162	14	as	as	ADP
cana-3242	162	15	real	real	ADJ
cana-3242	162	16	.	.	PUNCT
cana-3242	163	1	loss	loss	NOUN
cana-3242	163	2	functions	function	NOUN
cana-3242	163	3	:	:	PUNCT
cana-3242	163	4	•	•	NUM
cana-3242	163	5	generator	generator	NOUN
cana-3242	163	6	loss	loss	NOUN
cana-3242	163	7	:	:	PUNCT
cana-3242	163	8	ℒ𝐺	ℒ𝐺	PROPN
cana-3242	163	9	=	=	SYM
cana-3242	163	10	−𝔼[log(𝐷(	−𝔼[log(𝐷(	NOUN
cana-3242	163	11	�	�	PROPN
cana-3242	163	12	̂	̂	NUM
cana-3242	163	13	�	�	NOUN
cana-3242	163	14	)	)	PUNCT
cana-3242	163	15	)	)	PUNCT
cana-3242	163	16	]	]	PUNCT
cana-3242	163	17	•	•	NUM
cana-3242	163	18	discriminator	discriminator	NOUN
cana-3242	163	19	loss	loss	NOUN
cana-3242	163	20	:	:	PUNCT
cana-3242	164	1	ℒ𝐷	ℒ𝐷	NOUN
cana-3242	164	2	=	=	SYM
cana-3242	164	3	−𝔼[log(𝐷(𝑥))]−	−𝔼[log(𝐷(𝑥))]−	NOUN
cana-3242	164	4	𝔼[log(1	𝔼[log(1	PROPN
cana-3242	164	5	−𝐷(	−𝐷(	X
cana-3242	164	6	�	�	NOUN
cana-3242	164	7	̂	̂	NUM
cana-3242	164	8	�	�	NOUN
cana-3242	164	9	)	)	PUNCT
cana-3242	164	10	)	)	PUNCT
cana-3242	164	11	]	]	PUNCT
cana-3242	165	1	3	3	X
cana-3242	165	2	.	.	PUNCT
cana-3242	165	3	final	final	ADJ
cana-3242	165	4	output	output	NOUN
cana-3242	165	5	:	:	PUNCT
cana-3242	165	6	imputed	impute	VERB
cana-3242	165	7	values	value	NOUN
cana-3242	165	8	are	be	AUX
cana-3242	165	9	consistent	consistent	ADJ
cana-3242	165	10	with	with	ADP
cana-3242	165	11	observed	observe	VERB
cana-3242	165	12	data	datum	NOUN
cana-3242	165	13	patterns	pattern	NOUN
cana-3242	165	14	,	,	PUNCT
cana-3242	165	15	improving	improve	VERB
cana-3242	165	16	the	the	DET
cana-3242	165	17	completeness	completeness	NOUN
cana-3242	165	18	of	of	ADP
cana-3242	165	19	the	the	DET
cana-3242	165	20	dataset	dataset	NOUN
cana-3242	165	21	.	.	PUNCT
cana-3242	166	1	these	these	DET
cana-3242	166	2	methods	method	NOUN
cana-3242	166	3	ensure	ensure	VERB
cana-3242	166	4	the	the	DET
cana-3242	166	5	input	input	NOUN
cana-3242	166	6	data	datum	NOUN
cana-3242	166	7	is	be	AUX
cana-3242	166	8	well	well	ADV
cana-3242	166	9	-	-	PUNCT
cana-3242	166	10	prepared	prepared	ADJ
cana-3242	166	11	for	for	ADP
cana-3242	166	12	the	the	DET
cana-3242	166	13	framework	framework	NOUN
cana-3242	166	14	.	.	PUNCT
cana-3242	167	1	the	the	DET
cana-3242	167	2	symptom	symptom	NOUN
cana-3242	167	3	graph	graph	NOUN
cana-3242	167	4	captures	capture	NOUN
cana-3242	167	5	context	context	NOUN
cana-3242	167	6	,	,	PUNCT
cana-3242	167	7	the	the	DET
cana-3242	167	8	self	self	NOUN
cana-3242	167	9	-	-	PUNCT
cana-3242	167	10	supervised	supervise	VERB
cana-3242	167	11	vit	vit	ADJ
cana-3242	167	12	extracts	extract	NOUN
cana-3242	167	13	meaningful	meaningful	ADJ
cana-3242	167	14	image	image	NOUN
cana-3242	167	15	features	feature	NOUN
cana-3242	167	16	,	,	PUNCT
cana-3242	167	17	and	and	CCONJ
cana-3242	167	18	gans	gans	PROPN
cana-3242	167	19	fill	fill	VERB
cana-3242	167	20	missing	miss	VERB
cana-3242	167	21	lab	lab	NOUN
cana-3242	167	22	data	datum	NOUN
cana-3242	167	23	effectively	effectively	ADV
cana-3242	167	24	.	.	PUNCT
cana-3242	168	1	together	together	ADV
cana-3242	168	2	,	,	PUNCT
cana-3242	168	3	these	these	DET
cana-3242	168	4	steps	step	NOUN
cana-3242	168	5	make	make	VERB
cana-3242	168	6	the	the	DET
cana-3242	168	7	data	datum	NOUN
cana-3242	168	8	ready	ready	ADJ
cana-3242	168	9	for	for	ADP
cana-3242	168	10	accurate	accurate	ADJ
cana-3242	168	11	and	and	CCONJ
cana-3242	168	12	interpretable	interpretable	ADJ
cana-3242	168	13	predictions	prediction	NOUN
cana-3242	168	14	.	.	PUNCT
cana-3242	169	1	2.2	2.2	NUM
cana-3242	169	2	model	model	NOUN
cana-3242	169	3	architecture	architecture	NOUN
cana-3242	169	4	the	the	DET
cana-3242	169	5	proposed	propose	VERB
cana-3242	169	6	model	model	NOUN
cana-3242	169	7	architecture	architecture	NOUN
cana-3242	169	8	integrates	integrate	VERB
cana-3242	169	9	multimodal	multimodal	NOUN
cana-3242	169	10	data	datum	NOUN
cana-3242	169	11	,	,	PUNCT
cana-3242	169	12	including	include	VERB
cana-3242	169	13	symptoms	symptom	NOUN
cana-3242	169	14	,	,	PUNCT
cana-3242	169	15	imaging	imaging	NOUN
cana-3242	169	16	,	,	PUNCT
cana-3242	169	17	and	and	CCONJ
cana-3242	169	18	laboratory	laboratory	NOUN
cana-3242	169	19	results	result	NOUN
cana-3242	169	20	,	,	PUNCT
cana-3242	169	21	to	to	PART
cana-3242	169	22	make	make	VERB
cana-3242	169	23	accurate	accurate	ADJ
cana-3242	169	24	and	and	CCONJ
cana-3242	169	25	interpretable	interpretable	ADJ
cana-3242	169	26	predictions	prediction	NOUN
cana-3242	169	27	.	.	PUNCT
cana-3242	170	1	it	it	PRON
cana-3242	170	2	consists	consist	VERB
cana-3242	170	3	of	of	ADP
cana-3242	170	4	dedicated	dedicated	ADJ
cana-3242	170	5	components	component	NOUN
cana-3242	170	6	for	for	ADP
cana-3242	170	7	each	each	DET
cana-3242	170	8	data	datum	NOUN
cana-3242	170	9	modality	modality	NOUN
cana-3242	170	10	,	,	PUNCT
cana-3242	170	11	a	a	DET
cana-3242	170	12	novel	novel	ADJ
cana-3242	170	13	fusion	fusion	NOUN
cana-3242	170	14	strategy	strategy	NOUN
cana-3242	170	15	to	to	PART
cana-3242	170	16	combine	combine	VERB
cana-3242	170	17	features	feature	NOUN
cana-3242	170	18	,	,	PUNCT
cana-3242	170	19	and	and	CCONJ
cana-3242	170	20	an	an	DET
cana-3242	170	21	explainability	explainability	NOUN
cana-3242	170	22	module	module	NOUN
cana-3242	170	23	to	to	PART
cana-3242	170	24	ensure	ensure	VERB
cana-3242	170	25	transparency	transparency	NOUN
cana-3242	170	26	.	.	PUNCT
cana-3242	171	1	symptom	symptom	NOUN
cana-3242	171	2	encoder	encoder	NOUN
cana-3242	171	3	:	:	PUNCT
cana-3242	171	4	the	the	DET
cana-3242	171	5	symptom	symptom	NOUN
cana-3242	171	6	encoder	encoder	NOUN
cana-3242	171	7	processes	process	NOUN
cana-3242	171	8	and	and	CCONJ
cana-3242	171	9	encodes	encodes	PRON
cana-3242	171	10	textual	textual	ADJ
cana-3242	171	11	descriptions	description	NOUN
cana-3242	171	12	of	of	ADP
cana-3242	171	13	patient	patient	ADJ
cana-3242	171	14	symptoms	symptom	NOUN
cana-3242	171	15	.	.	PUNCT
cana-3242	172	1	a	a	DET
cana-3242	172	2	transformer	transformer	NOUN
cana-3242	172	3	-	-	PUNCT
cana-3242	172	4	based	base	VERB
cana-3242	172	5	architecture	architecture	NOUN
cana-3242	172	6	is	be	AUX
cana-3242	172	7	used	use	VERB
cana-3242	172	8	for	for	ADP
cana-3242	172	9	this	this	DET
cana-3242	172	10	purpose	purpose	NOUN
cana-3242	172	11	.	.	PUNCT
cana-3242	173	1	the	the	DET
cana-3242	173	2	input	input	NOUN
cana-3242	173	3	consists	consist	VERB
cana-3242	173	4	of	of	ADP
cana-3242	173	5	tokenized	tokenized	ADJ
cana-3242	173	6	symptom	symptom	NOUN
cana-3242	173	7	sequences	sequence	NOUN
cana-3242	173	8	,	,	PUNCT
cana-3242	173	9	which	which	PRON
cana-3242	173	10	pass	pass	VERB
cana-3242	173	11	through	through	ADP
cana-3242	173	12	self	self	NOUN
cana-3242	173	13	-	-	PUNCT
cana-3242	173	14	attention	attention	NOUN
cana-3242	173	15	layers	layer	NOUN
cana-3242	173	16	to	to	PART
cana-3242	173	17	capture	capture	VERB
cana-3242	173	18	relationships	relationship	NOUN
cana-3242	173	19	between	between	ADP
cana-3242	173	20	symptoms	symptom	NOUN
cana-3242	173	21	.	.	PUNCT
cana-3242	174	1	the	the	DET
cana-3242	174	2	model	model	NOUN
cana-3242	174	3	is	be	AUX
cana-3242	174	4	pretrained	pretraine	VERB
cana-3242	174	5	on	on	ADP
cana-3242	174	6	large	large	ADJ
cana-3242	174	7	medical	medical	ADJ
cana-3242	174	8	textual	textual	ADJ
cana-3242	174	9	datasets	dataset	NOUN
cana-3242	174	10	and	and	CCONJ
cana-3242	174	11	fine	fine	ADV
cana-3242	174	12	-	-	PUNCT
cana-3242	174	13	tuned	tune	VERB
cana-3242	174	14	to	to	PART
cana-3242	174	15	generalize	generalize	VERB
cana-3242	174	16	to	to	ADP
cana-3242	174	17	new	new	ADJ
cana-3242	174	18	symptom	symptom	NOUN
cana-3242	174	19	patterns	pattern	NOUN
cana-3242	174	20	effectively	effectively	ADV
cana-3242	174	21	.	.	PUNCT
cana-3242	175	1	the	the	DET
cana-3242	175	2	encoder	encoder	NOUN
cana-3242	175	3	outputs	output	VERB
cana-3242	175	4	contextual	contextual	ADJ
cana-3242	175	5	embeddings	embedding	NOUN
cana-3242	175	6	,	,	PUNCT
cana-3242	175	7	denoted	denote	VERB
cana-3242	175	8	as	as	ADP
cana-3242	175	9	𝐸symptom	𝐸symptom	PROPN
cana-3242	175	10	=	=	SYM
cana-3242	175	11	transformer(𝑋symptom	transformer(𝑋symptom	PROPN
cana-3242	175	12	)	)	PUNCT
cana-3242	175	13	where	where	SCONJ
cana-3242	175	14	𝑋symptom	𝑋symptom	PROPN
cana-3242	175	15	represents	represent	VERB
cana-3242	175	16	the	the	DET
cana-3242	175	17	tokenized	tokenized	ADJ
cana-3242	175	18	symptom	symptom	NOUN
cana-3242	175	19	data	datum	NOUN
cana-3242	175	20	.	.	PUNCT
cana-3242	176	1	imaging	imaging	NOUN
cana-3242	176	2	processor	processor	NOUN
cana-3242	176	3	:	:	PUNCT
cana-3242	176	4	the	the	DET
cana-3242	176	5	imaging	imaging	NOUN
cana-3242	176	6	processor	processor	NOUN
cana-3242	176	7	extracts	extract	NOUN
cana-3242	176	8	features	feature	NOUN
cana-3242	176	9	from	from	ADP
cana-3242	176	10	medical	medical	ADJ
cana-3242	176	11	images	image	NOUN
cana-3242	176	12	,	,	PUNCT
cana-3242	176	13	such	such	ADJ
cana-3242	176	14	as	as	ADP
cana-3242	176	15	blood	blood	NOUN
cana-3242	176	16	smears	smear	NOUN
cana-3242	176	17	or	or	CCONJ
cana-3242	176	18	ct	ct	NUM
cana-3242	176	19	scans	scan	NOUN
cana-3242	176	20	.	.	PUNCT
cana-3242	177	1	a	a	DET
cana-3242	177	2	hybrid	hybrid	ADJ
cana-3242	177	3	model	model	NOUN
cana-3242	177	4	is	be	AUX
cana-3242	177	5	designed	design	VERB
cana-3242	177	6	,	,	PUNCT
cana-3242	177	7	combining	combine	VERB
cana-3242	177	8	a	a	DET
cana-3242	177	9	pretrained	pretraine	VERB
cana-3242	177	10	vision	vision	NOUN
cana-3242	177	11	transformer	transformer	NOUN
cana-3242	177	12	(	(	PUNCT
cana-3242	177	13	vit	vit	NOUN
cana-3242	177	14	)	)	PUNCT
cana-3242	177	15	for	for	ADP
cana-3242	177	16	global	global	ADJ
cana-3242	177	17	pattern	pattern	NOUN
cana-3242	177	18	recognition	recognition	NOUN
cana-3242	177	19	and	and	CCONJ
cana-3242	177	20	lightweight	lightweight	ADJ
cana-3242	177	21	convolutional	convolutional	ADJ
cana-3242	177	22	neural	neural	ADJ
cana-3242	177	23	network	network	NOUN
cana-3242	177	24	(	(	PUNCT
cana-3242	177	25	cnn	cnn	PROPN
cana-3242	177	26	)	)	PUNCT
cana-3242	177	27	layers	layer	NOUN
cana-3242	177	28	for	for	ADP
cana-3242	177	29	extracting	extract	VERB
cana-3242	177	30	localized	localized	ADJ
cana-3242	177	31	features	feature	NOUN
cana-3242	177	32	.	.	PUNCT
cana-3242	178	1	the	the	DET
cana-3242	178	2	global	global	ADJ
cana-3242	178	3	features	feature	NOUN
cana-3242	178	4	are	be	AUX
cana-3242	178	5	obtained	obtain	VERB
cana-3242	178	6	as	as	ADP
cana-3242	178	7	𝐹global	𝐹global	PROPN
cana-3242	178	8	=	=	SYM
cana-3242	178	9	vit(𝐼	vit(𝐼	PROPN
cana-3242	178	10	)	)	PUNCT
cana-3242	178	11	where	where	SCONJ
cana-3242	178	12	𝐼	𝐼	PROPN
cana-3242	178	13	is	be	AUX
cana-3242	178	14	the	the	DET
cana-3242	178	15	input	input	NOUN
cana-3242	178	16	image	image	NOUN
cana-3242	178	17	.	.	PUNCT
cana-3242	179	1	simultaneously	simultaneously	ADV
cana-3242	179	2	,	,	PUNCT
cana-3242	179	3	the	the	DET
cana-3242	179	4	cnn	cnn	PROPN
cana-3242	179	5	layers	layer	NOUN
cana-3242	179	6	process	process	VERB
cana-3242	179	7	the	the	DET
cana-3242	179	8	same	same	ADJ
cana-3242	179	9	input	input	NOUN
cana-3242	179	10	to	to	PART
cana-3242	179	11	extract	extract	VERB
cana-3242	179	12	finer	fine	ADJ
cana-3242	179	13	details	detail	NOUN
cana-3242	179	14	,	,	PUNCT
cana-3242	179	15	resulting	result	VERB
cana-3242	179	16	in	in	ADP
cana-3242	179	17	𝐹local	𝐹local	PROPN
cana-3242	179	18	=	=	SYM
cana-3242	179	19	cnn(𝐼	cnn(𝐼	PROPN
cana-3242	179	20	)	)	PUNCT
cana-3242	179	21	.	.	PUNCT
cana-3242	180	1	communications	communication	NOUN
cana-3242	180	2	on	on	ADP
cana-3242	180	3	applied	apply	VERB
cana-3242	180	4	nonlinear	nonlinear	ADJ
cana-3242	180	5	analysis	analysis	NOUN
cana-3242	180	6	issn	issn	NOUN
cana-3242	180	7	:	:	PUNCT
cana-3242	180	8	1074	1074	NUM
cana-3242	180	9	-	-	PUNCT
cana-3242	180	10	133x	133x	NUM
cana-3242	180	11	vol	vol	NOUN
cana-3242	180	12	32	32	NUM
cana-3242	180	13	no	no	NOUN
cana-3242	180	14	.	.	PUNCT
cana-3242	181	1	6s	6s	NUM
cana-3242	181	2	(	(	PUNCT
cana-3242	181	3	2025	2025	NUM
cana-3242	181	4	)	)	PUNCT
cana-3242	181	5	46	46	NUM
cana-3242	181	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	182	1	the	the	DET
cana-3242	182	2	final	final	ADJ
cana-3242	182	3	imaging	imaging	NOUN
cana-3242	182	4	representation	representation	NOUN
cana-3242	182	5	is	be	AUX
cana-3242	182	6	a	a	DET
cana-3242	182	7	concatenation	concatenation	NOUN
cana-3242	182	8	of	of	ADP
cana-3242	182	9	global	global	ADJ
cana-3242	182	10	and	and	CCONJ
cana-3242	182	11	local	local	ADJ
cana-3242	182	12	features	feature	NOUN
cana-3242	182	13	,	,	PUNCT
cana-3242	182	14	denoted	denote	VERB
cana-3242	182	15	as	as	ADP
cana-3242	182	16	𝐹image	𝐹image	PROPN
cana-3242	182	17	,	,	PUNCT
cana-3242	182	18	which	which	PRON
cana-3242	182	19	captures	capture	VERB
cana-3242	182	20	comprehensive	comprehensive	ADJ
cana-3242	182	21	image	image	NOUN
cana-3242	182	22	characteristics	characteristic	NOUN
cana-3242	182	23	.	.	PUNCT
cana-3242	183	1	lab	lab	NOUN
cana-3242	183	2	data	datum	NOUN
cana-3242	183	3	module	module	NOUN
cana-3242	183	4	:	:	PUNCT
cana-3242	183	5	laboratory	laboratory	NOUN
cana-3242	183	6	data	datum	NOUN
cana-3242	183	7	,	,	PUNCT
cana-3242	183	8	comprising	comprise	VERB
cana-3242	183	9	numerical	numerical	ADJ
cana-3242	183	10	values	value	NOUN
cana-3242	183	11	such	such	ADJ
cana-3242	183	12	as	as	ADP
cana-3242	183	13	biomarkers	biomarker	NOUN
cana-3242	183	14	,	,	PUNCT
cana-3242	183	15	is	be	AUX
cana-3242	183	16	processed	process	VERB
cana-3242	183	17	using	use	VERB
cana-3242	183	18	a	a	DET
cana-3242	183	19	deep	deep	ADJ
cana-3242	183	20	feedforward	feedforward	ADJ
cana-3242	183	21	neural	neural	ADJ
cana-3242	183	22	network	network	NOUN
cana-3242	183	23	.	.	PUNCT
cana-3242	184	1	this	this	DET
cana-3242	184	2	module	module	NOUN
cana-3242	184	3	employs	employ	VERB
cana-3242	184	4	attention	attention	NOUN
cana-3242	184	5	mechanisms	mechanism	NOUN
cana-3242	184	6	to	to	PART
cana-3242	184	7	prioritize	prioritize	VERB
cana-3242	184	8	significant	significant	ADJ
cana-3242	184	9	biomarkers	biomarker	NOUN
cana-3242	184	10	.	.	PUNCT
cana-3242	185	1	the	the	DET
cana-3242	185	2	attention	attention	NOUN
cana-3242	185	3	weights	weight	NOUN
cana-3242	185	4	are	be	AUX
cana-3242	185	5	calculated	calculate	VERB
cana-3242	185	6	as	as	ADP
cana-3242	185	7	𝐴	𝐴	PROPN
cana-3242	185	8	=	=	SYM
cana-3242	185	9	softmax(𝑊𝑇𝑋lab	softmax(𝑊𝑇𝑋lab	PROPN
cana-3242	185	10	)	)	PUNCT
cana-3242	185	11	where	where	SCONJ
cana-3242	185	12	𝑊	𝑊	PROPN
cana-3242	185	13	is	be	AUX
cana-3242	185	14	the	the	DET
cana-3242	185	15	learnable	learnable	ADJ
cana-3242	185	16	weight	weight	NOUN
cana-3242	185	17	matrix	matrix	NOUN
cana-3242	185	18	,	,	PUNCT
cana-3242	185	19	and	and	CCONJ
cana-3242	185	20	𝑋lab	𝑋lab	PROPN
cana-3242	185	21	is	be	AUX
cana-3242	185	22	the	the	DET
cana-3242	185	23	input	input	NOUN
cana-3242	185	24	lab	lab	NOUN
cana-3242	185	25	data	datum	NOUN
cana-3242	185	26	.	.	PUNCT
cana-3242	186	1	the	the	DET
cana-3242	186	2	output	output	NOUN
cana-3242	186	3	of	of	ADP
cana-3242	186	4	this	this	DET
cana-3242	186	5	module	module	NOUN
cana-3242	186	6	,	,	PUNCT
cana-3242	186	7	𝐹lab	𝐹lab	PROPN
cana-3242	186	8	,	,	PUNCT
cana-3242	186	9	is	be	AUX
cana-3242	186	10	a	a	DET
cana-3242	186	11	weighted	weight	VERB
cana-3242	186	12	representation	representation	NOUN
cana-3242	186	13	that	that	PRON
cana-3242	186	14	emphasizes	emphasize	VERB
cana-3242	186	15	critical	critical	ADJ
cana-3242	186	16	biomarkers	biomarker	NOUN
cana-3242	186	17	contributing	contribute	VERB
cana-3242	186	18	to	to	ADP
cana-3242	186	19	the	the	DET
cana-3242	186	20	prediction	prediction	NOUN
cana-3242	186	21	.	.	PUNCT
cana-3242	187	1	fusion	fusion	NOUN
cana-3242	187	2	strategy	strategy	NOUN
cana-3242	187	3	:	:	PUNCT
cana-3242	187	4	to	to	PART
cana-3242	187	5	combine	combine	VERB
cana-3242	187	6	the	the	DET
cana-3242	187	7	features	feature	NOUN
cana-3242	187	8	extracted	extract	VERB
cana-3242	187	9	from	from	ADP
cana-3242	187	10	symptoms	symptom	NOUN
cana-3242	187	11	,	,	PUNCT
cana-3242	187	12	imaging	imaging	NOUN
cana-3242	187	13	,	,	PUNCT
cana-3242	187	14	and	and	CCONJ
cana-3242	187	15	lab	lab	NOUN
cana-3242	187	16	data	datum	NOUN
cana-3242	187	17	,	,	PUNCT
cana-3242	187	18	a	a	DET
cana-3242	187	19	gated	gate	VERB
cana-3242	187	20	attention	attention	NOUN
cana-3242	187	21	mechanism	mechanism	NOUN
cana-3242	187	22	is	be	AUX
cana-3242	187	23	used	use	VERB
cana-3242	187	24	.	.	PUNCT
cana-3242	188	1	this	this	DET
cana-3242	188	2	mechanism	mechanism	NOUN
cana-3242	188	3	dynamically	dynamically	ADV
cana-3242	188	4	weighs	weigh	VERB
cana-3242	188	5	the	the	DET
cana-3242	188	6	relevance	relevance	NOUN
cana-3242	188	7	of	of	ADP
cana-3242	188	8	each	each	DET
cana-3242	188	9	modality	modality	NOUN
cana-3242	188	10	.	.	PUNCT
cana-3242	189	1	the	the	DET
cana-3242	189	2	gating	gate	VERB
cana-3242	189	3	vector	vector	NOUN
cana-3242	189	4	is	be	AUX
cana-3242	189	5	computed	compute	VERB
cana-3242	189	6	as	as	ADP
cana-3242	189	7	𝐺	𝐺	PROPN
cana-3242	189	8	=	=	PROPN
cana-3242	189	9	𝜎(𝑊𝑠𝐸symptom	𝜎(𝑊𝑠𝐸symptom	NOUN
cana-3242	189	10	+	+	NOUN
cana-3242	189	11	𝑊𝑖𝐹image	𝑊𝑖𝐹image	PROPN
cana-3242	189	12	+	+	CCONJ
cana-3242	189	13	𝑊𝑙𝐹lab	𝑊𝑙𝐹lab	PROPN
cana-3242	189	14	)	)	PUNCT
cana-3242	189	15	where	where	SCONJ
cana-3242	189	16	𝑊𝑠	𝑊𝑠	PROPN
cana-3242	189	17	,	,	PUNCT
cana-3242	189	18	𝑊𝑖	𝑊𝑖	PROPN
cana-3242	189	19	,	,	PUNCT
cana-3242	189	20	and	and	CCONJ
cana-3242	189	21	𝑊𝑙	𝑊𝑙	PROPN
cana-3242	189	22	are	be	AUX
cana-3242	189	23	learnable	learnable	ADJ
cana-3242	189	24	weights	weight	NOUN
cana-3242	189	25	for	for	ADP
cana-3242	189	26	symptoms	symptom	NOUN
cana-3242	189	27	,	,	PUNCT
cana-3242	189	28	imaging	imaging	NOUN
cana-3242	189	29	,	,	PUNCT
cana-3242	189	30	and	and	CCONJ
cana-3242	189	31	lab	lab	NOUN
cana-3242	189	32	data	datum	NOUN
cana-3242	189	33	,	,	PUNCT
cana-3242	189	34	respectively	respectively	ADV
cana-3242	189	35	.	.	PUNCT
cana-3242	190	1	the	the	DET
cana-3242	190	2	final	final	ADJ
cana-3242	190	3	fused	fused	ADJ
cana-3242	190	4	representation	representation	NOUN
cana-3242	190	5	is	be	AUX
cana-3242	190	6	calculated	calculate	VERB
cana-3242	190	7	as	as	ADP
cana-3242	190	8	𝐹fusion	𝐹fusion	PROPN
cana-3242	190	9	=	=	SYM
cana-3242	191	1	𝐺𝑠𝐸symptom	𝐺𝑠𝐸symptom	PROPN
cana-3242	191	2	+	+	NUM
cana-3242	191	3	𝐺𝑖𝐹image	𝐺𝑖𝐹image	PROPN
cana-3242	191	4	+	+	X
cana-3242	191	5	𝐺𝑙𝐹lab	𝐺𝑙𝐹lab	PROPN
cana-3242	191	6	where	where	SCONJ
cana-3242	191	7	𝐺𝑠	𝐺𝑠	PROPN
cana-3242	191	8	,	,	PUNCT
cana-3242	191	9	𝐺𝑖	𝐺𝑖	PROPN
cana-3242	191	10	,	,	PUNCT
cana-3242	191	11	and	and	CCONJ
cana-3242	191	12	𝐺𝑙	𝐺𝑙	PROPN
cana-3242	191	13	are	be	AUX
cana-3242	191	14	the	the	DET
cana-3242	191	15	modality	modality	NOUN
cana-3242	191	16	-	-	PUNCT
cana-3242	191	17	specific	specific	ADJ
cana-3242	191	18	gating	gate	VERB
cana-3242	191	19	coefficients	coefficient	NOUN
cana-3242	191	20	.	.	PUNCT
cana-3242	192	1	explainability	explainability	NOUN
cana-3242	192	2	module	module	NOUN
cana-3242	192	3	:	:	PUNCT
cana-3242	192	4	to	to	PART
cana-3242	192	5	ensure	ensure	VERB
cana-3242	192	6	interpretability	interpretability	NOUN
cana-3242	192	7	,	,	PUNCT
cana-3242	192	8	the	the	DET
cana-3242	192	9	model	model	NOUN
cana-3242	192	10	incorporates	incorporate	VERB
cana-3242	192	11	shap	shap	NOUN
cana-3242	192	12	(	(	PUNCT
cana-3242	192	13	shapley	shapley	ADJ
cana-3242	192	14	additive	additive	ADJ
cana-3242	192	15	explanations	explanation	NOUN
cana-3242	192	16	)	)	PUNCT
cana-3242	192	17	and	and	CCONJ
cana-3242	192	18	layer	layer	NOUN
cana-3242	192	19	-	-	PUNCT
cana-3242	192	20	wise	wise	ADJ
cana-3242	192	21	relevance	relevance	NOUN
cana-3242	192	22	propagation	propagation	NOUN
cana-3242	192	23	(	(	PUNCT
cana-3242	192	24	lrp	lrp	PROPN
cana-3242	192	25	)	)	PUNCT
cana-3242	192	26	.	.	PUNCT
cana-3242	193	1	shap	shap	PROPN
cana-3242	193	2	quantifies	quantify	VERB
cana-3242	193	3	the	the	DET
cana-3242	193	4	contribution	contribution	NOUN
cana-3242	193	5	of	of	ADP
cana-3242	193	6	each	each	DET
cana-3242	193	7	input	input	NOUN
cana-3242	193	8	feature	feature	NOUN
cana-3242	193	9	to	to	ADP
cana-3242	193	10	the	the	DET
cana-3242	193	11	model	model	NOUN
cana-3242	193	12	’s	’s	PART
cana-3242	193	13	prediction	prediction	NOUN
cana-3242	193	14	.	.	PUNCT
cana-3242	194	1	it	it	PRON
cana-3242	194	2	computes	compute	VERB
cana-3242	194	3	the	the	DET
cana-3242	194	4	shap	shap	PROPN
cana-3242	194	5	values	value	NOUN
cana-3242	194	6	for	for	ADP
cana-3242	194	7	symptoms	symptom	NOUN
cana-3242	194	8	,	,	PUNCT
cana-3242	194	9	imaging	imaging	NOUN
cana-3242	194	10	features	feature	NOUN
cana-3242	194	11	,	,	PUNCT
cana-3242	194	12	and	and	CCONJ
cana-3242	194	13	lab	lab	NOUN
cana-3242	194	14	markers	marker	NOUN
cana-3242	194	15	,	,	PUNCT
cana-3242	194	16	providing	provide	VERB
cana-3242	194	17	insights	insight	NOUN
cana-3242	194	18	into	into	ADP
cana-3242	194	19	their	their	PRON
cana-3242	194	20	influence	influence	NOUN
cana-3242	194	21	.	.	PUNCT
cana-3242	195	1	counterfactual	counterfactual	ADJ
cana-3242	195	2	analysis	analysis	NOUN
cana-3242	195	3	is	be	AUX
cana-3242	195	4	also	also	ADV
cana-3242	195	5	integrated	integrate	VERB
cana-3242	195	6	to	to	PART
cana-3242	195	7	show	show	VERB
cana-3242	195	8	"	"	PUNCT
cana-3242	195	9	what	what	PRON
cana-3242	195	10	-	-	PUNCT
cana-3242	195	11	if	if	SCONJ
cana-3242	195	12	"	"	PUNCT
cana-3242	195	13	scenarios	scenario	NOUN
cana-3242	195	14	,	,	PUNCT
cana-3242	195	15	demonstrating	demonstrate	VERB
cana-3242	195	16	how	how	SCONJ
cana-3242	195	17	changes	change	NOUN
cana-3242	195	18	in	in	ADP
cana-3242	195	19	input	input	NOUN
cana-3242	195	20	data	datum	NOUN
cana-3242	195	21	affect	affect	VERB
cana-3242	195	22	the	the	DET
cana-3242	195	23	predictions	prediction	NOUN
cana-3242	195	24	.	.	PUNCT
cana-3242	196	1	lrp	lrp	PROPN
cana-3242	196	2	is	be	AUX
cana-3242	196	3	used	use	VERB
cana-3242	196	4	to	to	PART
cana-3242	196	5	visualize	visualize	VERB
cana-3242	196	6	critical	critical	ADJ
cana-3242	196	7	regions	region	NOUN
cana-3242	196	8	in	in	ADP
cana-3242	196	9	imaging	imaging	NOUN
cana-3242	196	10	data	datum	NOUN
cana-3242	196	11	that	that	PRON
cana-3242	196	12	contribute	contribute	VERB
cana-3242	196	13	to	to	ADP
cana-3242	196	14	the	the	DET
cana-3242	196	15	model	model	NOUN
cana-3242	196	16	’s	’s	PART
cana-3242	196	17	output	output	NOUN
cana-3242	196	18	.	.	PUNCT
cana-3242	197	1	it	it	PRON
cana-3242	197	2	backpropagates	backpropagate	VERB
cana-3242	197	3	the	the	DET
cana-3242	197	4	model	model	NOUN
cana-3242	197	5	’s	’s	PART
cana-3242	197	6	predictions	prediction	NOUN
cana-3242	197	7	through	through	ADP
cana-3242	197	8	the	the	DET
cana-3242	197	9	imaging	imaging	NOUN
cana-3242	197	10	processor	processor	NOUN
cana-3242	197	11	to	to	PART
cana-3242	197	12	calculate	calculate	VERB
cana-3242	197	13	relevance	relevance	NOUN
cana-3242	197	14	scores	score	NOUN
cana-3242	197	15	for	for	ADP
cana-3242	197	16	each	each	DET
cana-3242	197	17	pixel	pixel	NOUN
cana-3242	197	18	.	.	PUNCT
cana-3242	198	1	for	for	ADP
cana-3242	198	2	an	an	DET
cana-3242	198	3	input	input	NOUN
cana-3242	198	4	image	image	NOUN
cana-3242	198	5	𝐼	𝐼	PROPN
cana-3242	198	6	and	and	CCONJ
cana-3242	198	7	prediction	prediction	NOUN
cana-3242	198	8	𝑦	𝑦	NOUN
cana-3242	198	9	,	,	PUNCT
cana-3242	198	10	the	the	DET
cana-3242	198	11	relevance	relevance	NOUN
cana-3242	198	12	scores	score	VERB
cana-3242	198	13	𝑅𝑖	𝑅𝑖	PROPN
cana-3242	198	14	are	be	AUX
cana-3242	198	15	computed	compute	VERB
cana-3242	198	16	as	as	ADP
cana-3242	198	17	𝑅𝑖	𝑅𝑖	PROPN
cana-3242	198	18	=	=	PUNCT
cana-3242	198	19	𝜕𝑦	𝜕𝑦	NOUN
cana-3242	198	20	𝜕𝐼𝑖	𝜕𝐼𝑖	NOUN
cana-3242	198	21	where	where	SCONJ
cana-3242	198	22	𝑅𝑖	𝑅𝑖	PROPN
cana-3242	198	23	highlights	highlight	VERB
cana-3242	198	24	the	the	DET
cana-3242	198	25	importance	importance	NOUN
cana-3242	198	26	of	of	ADP
cana-3242	198	27	pixel	pixel	PROPN
cana-3242	198	28	𝑖.	𝑖.	ADV
cana-3242	198	29	the	the	DET
cana-3242	198	30	generated	generate	VERB
cana-3242	198	31	heatmaps	heatmap	NOUN
cana-3242	198	32	provide	provide	VERB
cana-3242	198	33	clinicians	clinician	NOUN
cana-3242	198	34	with	with	ADP
cana-3242	198	35	clear	clear	ADJ
cana-3242	198	36	visualizations	visualization	NOUN
cana-3242	198	37	of	of	ADP
cana-3242	198	38	the	the	DET
cana-3242	198	39	areas	area	NOUN
cana-3242	198	40	most	most	ADV
cana-3242	198	41	relevant	relevant	ADJ
cana-3242	198	42	to	to	ADP
cana-3242	198	43	the	the	DET
cana-3242	198	44	prediction	prediction	NOUN
cana-3242	198	45	.	.	PUNCT
cana-3242	199	1	this	this	DET
cana-3242	199	2	architecture	architecture	NOUN
cana-3242	199	3	is	be	AUX
cana-3242	199	4	designed	design	VERB
cana-3242	199	5	to	to	PART
cana-3242	199	6	efficiently	efficiently	ADV
cana-3242	199	7	process	process	VERB
cana-3242	199	8	multimodal	multimodal	NOUN
cana-3242	199	9	data	datum	NOUN
cana-3242	199	10	,	,	PUNCT
cana-3242	199	11	integrating	integrate	VERB
cana-3242	199	12	symptoms	symptom	NOUN
cana-3242	199	13	,	,	PUNCT
cana-3242	199	14	imaging	imaging	NOUN
cana-3242	199	15	,	,	PUNCT
cana-3242	199	16	and	and	CCONJ
cana-3242	199	17	laboratory	laboratory	NOUN
cana-3242	199	18	results	result	NOUN
cana-3242	199	19	into	into	ADP
cana-3242	199	20	a	a	DET
cana-3242	199	21	unified	unified	ADJ
cana-3242	199	22	predictive	predictive	ADJ
cana-3242	199	23	framework	framework	NOUN
cana-3242	199	24	.	.	PUNCT
cana-3242	200	1	the	the	DET
cana-3242	200	2	inclusion	inclusion	NOUN
cana-3242	200	3	of	of	ADP
cana-3242	200	4	shap	shap	PROPN
cana-3242	200	5	and	and	CCONJ
cana-3242	200	6	lrp	lrp	PROPN
cana-3242	200	7	ensures	ensure	VERB
cana-3242	200	8	that	that	SCONJ
cana-3242	200	9	predictions	prediction	NOUN
cana-3242	200	10	are	be	AUX
cana-3242	200	11	interpretable	interpretable	ADJ
cana-3242	200	12	and	and	CCONJ
cana-3242	200	13	actionable	actionable	ADJ
cana-3242	200	14	,	,	PUNCT
cana-3242	200	15	enabling	enable	VERB
cana-3242	200	16	clinicians	clinician	NOUN
cana-3242	200	17	to	to	PART
cana-3242	200	18	make	make	VERB
cana-3242	200	19	informed	informed	ADJ
cana-3242	200	20	decisions	decision	NOUN
cana-3242	200	21	with	with	ADP
cana-3242	200	22	confidence	confidence	NOUN
cana-3242	200	23	.	.	PUNCT
cana-3242	201	1	2.3	2.3	NUM
cana-3242	201	2	training	training	NOUN
cana-3242	201	3	methodology	methodology	NOUN
cana-3242	201	4	the	the	DET
cana-3242	201	5	proposed	propose	VERB
cana-3242	201	6	framework	framework	NOUN
cana-3242	201	7	is	be	AUX
cana-3242	201	8	trained	train	VERB
cana-3242	201	9	using	use	VERB
cana-3242	201	10	a	a	DET
cana-3242	201	11	structured	structured	ADJ
cana-3242	201	12	methodology	methodology	NOUN
cana-3242	201	13	designed	design	VERB
cana-3242	201	14	to	to	PART
cana-3242	201	15	optimize	optimize	VERB
cana-3242	201	16	performance	performance	NOUN
cana-3242	201	17	,	,	PUNCT
cana-3242	201	18	ensure	ensure	VERB
cana-3242	201	19	interpretability	interpretability	NOUN
cana-3242	201	20	,	,	PUNCT
cana-3242	201	21	and	and	CCONJ
cana-3242	201	22	improve	improve	VERB
cana-3242	201	23	robustness	robustness	NOUN
cana-3242	201	24	.	.	PUNCT
cana-3242	202	1	the	the	DET
cana-3242	202	2	training	training	NOUN
cana-3242	202	3	process	process	NOUN
cana-3242	202	4	includes	include	VERB
cana-3242	202	5	specific	specific	ADJ
cana-3242	202	6	loss	loss	NOUN
cana-3242	202	7	functions	function	NOUN
cana-3242	202	8	,	,	PUNCT
cana-3242	202	9	optimization	optimization	NOUN
cana-3242	202	10	techniques	technique	NOUN
cana-3242	202	11	,	,	PUNCT
cana-3242	202	12	and	and	CCONJ
cana-3242	202	13	regularization	regularization	NOUN
cana-3242	202	14	methods	method	NOUN
cana-3242	202	15	that	that	PRON
cana-3242	202	16	align	align	VERB
cana-3242	202	17	with	with	ADP
cana-3242	202	18	the	the	DET
cana-3242	202	19	framework	framework	NOUN
cana-3242	202	20	’s	’s	PART
cana-3242	202	21	objectives	objective	NOUN
cana-3242	202	22	.	.	PUNCT
cana-3242	203	1	communications	communication	NOUN
cana-3242	203	2	on	on	ADP
cana-3242	203	3	applied	apply	VERB
cana-3242	203	4	nonlinear	nonlinear	ADJ
cana-3242	203	5	analysis	analysis	NOUN
cana-3242	203	6	issn	issn	NOUN
cana-3242	203	7	:	:	PUNCT
cana-3242	203	8	1074	1074	NUM
cana-3242	203	9	-	-	PUNCT
cana-3242	203	10	133x	133x	NUM
cana-3242	203	11	vol	vol	NOUN
cana-3242	203	12	32	32	NUM
cana-3242	203	13	no	no	NOUN
cana-3242	203	14	.	.	PUNCT
cana-3242	204	1	6s	6s	NUM
cana-3242	204	2	(	(	PUNCT
cana-3242	204	3	2025	2025	NUM
cana-3242	204	4	)	)	PUNCT
cana-3242	204	5	47	47	NUM
cana-3242	204	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3242	204	7	loss	loss	NOUN
cana-3242	204	8	functions	function	NOUN
cana-3242	204	9	:	:	PUNCT
cana-3242	204	10	a	a	DET
cana-3242	204	11	multi	multi	ADJ
cana-3242	204	12	-	-	ADJ
cana-3242	204	13	task	task	ADJ
cana-3242	204	14	loss	loss	NOUN
cana-3242	204	15	function	function	NOUN
cana-3242	204	16	is	be	AUX
cana-3242	204	17	used	use	VERB
cana-3242	204	18	to	to	PART
cana-3242	204	19	simultaneously	simultaneously	ADV
cana-3242	204	20	optimize	optimize	VERB
cana-3242	204	21	classification	classification	NOUN
cana-3242	204	22	performance	performance	NOUN
cana-3242	204	23	and	and	CCONJ
cana-3242	204	24	interpretability	interpretability	NOUN
cana-3242	204	25	.	.	PUNCT
cana-3242	205	1	the	the	DET
cana-3242	205	2	total	total	ADJ
cana-3242	205	3	loss	loss	NOUN
cana-3242	205	4	ℒ	ℒ	PROPN
cana-3242	205	5	is	be	AUX
cana-3242	205	6	a	a	DET
cana-3242	205	7	weighted	weighted	ADJ
cana-3242	205	8	sum	sum	NOUN
cana-3242	205	9	of	of	ADP
cana-3242	205	10	two	two	NUM
cana-3242	205	11	components	component	NOUN
cana-3242	205	12	:	:	PUNCT
cana-3242	205	13	ℒ	ℒ	PROPN
cana-3242	205	14	=	=	SYM
cana-3242	205	15	𝛼ℒclassification	𝛼ℒclassification	PROPN
cana-3242	205	16	+	+	PROPN
cana-3242	205	17	𝛽ℒinterpretability	𝛽ℒinterpretability	PROPN
cana-3242	205	18	the	the	DET
cana-3242	205	19	classification	classification	NOUN
cana-3242	205	20	loss	loss	NOUN
cana-3242	205	21	ℒclassification	ℒclassification	PROPN
cana-3242	205	22	is	be	AUX
cana-3242	205	23	calculated	calculate	VERB
cana-3242	205	24	using	use	VERB
cana-3242	205	25	cross	cross	NOUN
cana-3242	205	26	-	-	NOUN
cana-3242	205	27	entropy	entropy	ADJ
cana-3242	205	28	:	:	PUNCT
cana-3242	205	29	ℒclassification	ℒclassification	NOUN
cana-3242	205	30	=	=	SYM
cana-3242	205	31	−	−	PROPN
cana-3242	205	32	1	1	NUM
cana-3242	205	33	𝑁	𝑁	PROPN
cana-3242	205	34	∑𝑁	∑𝑁	PROPN
cana-3242	205	35	𝑖=1	𝑖=1	PROPN
cana-3242	205	36	𝑦𝑖log(	𝑦𝑖log(	PROPN
cana-3242	205	37	�	�	PROPN
cana-3242	205	38	̂	̂	NUM
cana-3242	205	39	�	�	NOUN
cana-3242	205	40	𝑖	𝑖	NUM
cana-3242	205	41	)	)	PUNCT
cana-3242	205	42	where	where	SCONJ
cana-3242	205	43	𝑦𝑖	𝑦𝑖	PROPN
cana-3242	205	44	is	be	AUX
cana-3242	205	45	the	the	DET
cana-3242	205	46	true	true	ADJ
cana-3242	205	47	label	label	NOUN
cana-3242	205	48	,	,	PUNCT
cana-3242	205	49	�	�	NOUN
cana-3242	205	50	̂	̂	VERB
cana-3242	205	51	�	�	NOUN
cana-3242	205	52	𝑖	𝑖	NOUN
cana-3242	205	53	is	be	AUX
cana-3242	205	54	the	the	DET
cana-3242	205	55	predicted	predict	VERB
cana-3242	205	56	probability	probability	NOUN
cana-3242	205	57	,	,	PUNCT
cana-3242	205	58	and	and	CCONJ
cana-3242	205	59	𝑁	𝑁	PROPN
cana-3242	205	60	is	be	AUX
cana-3242	205	61	the	the	DET
cana-3242	205	62	number	number	NOUN
cana-3242	205	63	of	of	ADP
cana-3242	205	64	samples	sample	NOUN
cana-3242	205	65	.	.	PUNCT
cana-3242	206	1	the	the	DET
cana-3242	206	2	interpretability	interpretability	NOUN
cana-3242	206	3	loss	loss	NOUN
cana-3242	206	4	ℒinterpretability	ℒinterpretability	NOUN
cana-3242	206	5	penalizes	penalize	VERB
cana-3242	206	6	the	the	DET
cana-3242	206	7	model	model	NOUN
cana-3242	206	8	if	if	SCONJ
cana-3242	206	9	the	the	DET
cana-3242	206	10	shap	shap	NOUN
cana-3242	206	11	or	or	CCONJ
cana-3242	206	12	layer	layer	NOUN
cana-3242	206	13	-	-	PUNCT
cana-3242	206	14	wise	wise	ADJ
cana-3242	206	15	relevance	relevance	NOUN
cana-3242	206	16	propagation	propagation	NOUN
cana-3242	206	17	(	(	PUNCT
cana-3242	206	18	lrp	lrp	PROPN
cana-3242	206	19	)	)	PUNCT
cana-3242	206	20	explanations	explanation	NOUN
cana-3242	206	21	deviate	deviate	VERB
cana-3242	206	22	significantly	significantly	ADV
cana-3242	206	23	from	from	ADP
cana-3242	206	24	clinically	clinically	ADV
cana-3242	206	25	validated	validate	VERB
cana-3242	206	26	feature	feature	NOUN
cana-3242	206	27	importance	importance	NOUN
cana-3242	206	28	.	.	PUNCT
cana-3242	207	1	this	this	PRON
cana-3242	207	2	ensures	ensure	VERB
cana-3242	207	3	that	that	SCONJ
cana-3242	207	4	the	the	DET
cana-3242	207	5	model	model	NOUN
cana-3242	207	6	’s	’s	PART
cana-3242	207	7	predictions	prediction	NOUN
cana-3242	207	8	are	be	AUX
cana-3242	207	9	consistent	consistent	ADJ
cana-3242	207	10	with	with	ADP
cana-3242	207	11	domain	domain	NOUN
cana-3242	207	12	knowledge	knowledge	NOUN
cana-3242	207	13	.	.	PUNCT
cana-3242	208	1	the	the	DET
cana-3242	208	2	weights	weight	NOUN
cana-3242	208	3	𝛼	𝛼	NOUN
cana-3242	208	4	and	and	CCONJ
cana-3242	208	5	𝛽	𝛽	NOUN
cana-3242	208	6	are	be	AUX
cana-3242	208	7	tuned	tune	VERB
cana-3242	208	8	to	to	PART
cana-3242	208	9	balance	balance	VERB
cana-3242	208	10	classification	classification	NOUN
cana-3242	208	11	accuracy	accuracy	NOUN
cana-3242	208	12	and	and	CCONJ
cana-3242	208	13	interpretability	interpretability	NOUN
cana-3242	208	14	.	.	PUNCT
cana-3242	209	1	optimization	optimization	NOUN
cana-3242	209	2	:	:	PUNCT
cana-3242	209	3	gradient	gradient	ADJ
cana-3242	209	4	accumulation	accumulation	NOUN
cana-3242	209	5	is	be	AUX
cana-3242	209	6	employed	employ	VERB
cana-3242	209	7	to	to	PART
cana-3242	209	8	handle	handle	VERB
cana-3242	209	9	large	large	ADJ
cana-3242	209	10	batch	batch	NOUN
cana-3242	209	11	sizes	size	NOUN
cana-3242	209	12	while	while	SCONJ
cana-3242	209	13	optimizing	optimize	VERB
cana-3242	209	14	memory	memory	NOUN
cana-3242	209	15	usage	usage	NOUN
cana-3242	209	16	.	.	PUNCT
cana-3242	210	1	instead	instead	ADV
cana-3242	210	2	of	of	ADP
cana-3242	210	3	updating	update	VERB
cana-3242	210	4	the	the	DET
cana-3242	210	5	model	model	NOUN
cana-3242	210	6	parameters	parameter	NOUN
cana-3242	210	7	after	after	ADP
cana-3242	210	8	every	every	DET
cana-3242	210	9	small	small	ADJ
cana-3242	210	10	batch	batch	NOUN
cana-3242	210	11	,	,	PUNCT
cana-3242	210	12	gradients	gradient	NOUN
cana-3242	210	13	are	be	AUX
cana-3242	210	14	accumulated	accumulate	VERB
cana-3242	210	15	over	over	ADP
cana-3242	210	16	several	several	ADJ
cana-3242	210	17	smaller	small	ADJ
cana-3242	210	18	batches	batch	NOUN
cana-3242	210	19	,	,	PUNCT
cana-3242	210	20	and	and	CCONJ
cana-3242	210	21	the	the	DET
cana-3242	210	22	update	update	NOUN
cana-3242	210	23	is	be	AUX
cana-3242	210	24	performed	perform	VERB
cana-3242	210	25	once	once	ADV
cana-3242	210	26	per	per	ADP
cana-3242	210	27	accumulated	accumulate	VERB
cana-3242	210	28	batch	batch	NOUN
cana-3242	210	29	.	.	PUNCT
cana-3242	211	1	this	this	PRON
cana-3242	211	2	is	be	AUX
cana-3242	211	3	expressed	express	VERB
cana-3242	211	4	as	as	ADP
cana-3242	211	5	:	:	PUNCT
cana-3242	211	6	δ𝜃	δ𝜃	ADP
cana-3242	211	7	=	=	SYM
cana-3242	211	8	1	1	NUM
cana-3242	211	9	𝐾	𝐾	PROPN
cana-3242	211	10	∑𝐾	∑𝐾	PROPN
cana-3242	211	11	𝑘=1	𝑘=1	X
cana-3242	211	12	∇𝜃ℒ𝑘	∇𝜃ℒ𝑘	NOUN
cana-3242	211	13	where	where	SCONJ
cana-3242	211	14	𝐾	𝐾	PROPN
cana-3242	211	15	is	be	AUX
cana-3242	211	16	the	the	DET
cana-3242	211	17	number	number	NOUN
cana-3242	211	18	of	of	ADP
cana-3242	211	19	smaller	small	ADJ
cana-3242	211	20	batches	batch	NOUN
cana-3242	211	21	,	,	PUNCT
cana-3242	211	22	𝜃	𝜃	PRON
cana-3242	211	23	represents	represent	VERB
cana-3242	211	24	model	model	NOUN
cana-3242	211	25	parameters	parameter	NOUN
cana-3242	211	26	,	,	PUNCT
cana-3242	211	27	and	and	CCONJ
cana-3242	211	28	∇𝜃ℒ𝑘	∇𝜃ℒ𝑘	NOUN
cana-3242	211	29	is	be	AUX
cana-3242	211	30	the	the	DET
cana-3242	211	31	gradient	gradient	NOUN
cana-3242	211	32	for	for	ADP
cana-3242	211	33	batch	batch	NOUN
cana-3242	211	34	𝑘.	𝑘.	NOUN
cana-3242	211	35	cyclic	cyclic	NOUN
cana-3242	211	36	learning	learning	NOUN
cana-3242	211	37	rates	rate	NOUN
cana-3242	211	38	are	be	AUX
cana-3242	211	39	used	use	VERB
cana-3242	211	40	to	to	PART
cana-3242	211	41	improve	improve	VERB
cana-3242	211	42	convergence	convergence	NOUN
cana-3242	211	43	and	and	CCONJ
cana-3242	211	44	prevent	prevent	VERB
cana-3242	211	45	the	the	DET
cana-3242	211	46	optimizer	optimizer	NOUN
cana-3242	211	47	from	from	ADP
cana-3242	211	48	getting	getting	AUX
cana-3242	211	49	stuck	stick	VERB
cana-3242	211	50	in	in	ADP
cana-3242	211	51	local	local	ADJ
cana-3242	211	52	minima	minima	NOUN
cana-3242	211	53	.	.	PUNCT
cana-3242	212	1	the	the	DET
cana-3242	212	2	learning	learning	NOUN
cana-3242	212	3	rate	rate	NOUN
cana-3242	212	4	𝜂	𝜂	PROPN
cana-3242	212	5	oscillates	oscillate	NOUN
cana-3242	212	6	between	between	ADP
cana-3242	212	7	a	a	DET
cana-3242	212	8	minimum	minimum	NOUN
cana-3242	212	9	and	and	CCONJ
cana-3242	212	10	a	a	DET
cana-3242	212	11	maximum	maximum	ADJ
cana-3242	212	12	value	value	NOUN
cana-3242	212	13	over	over	ADP
cana-3242	212	14	cycles	cycle	NOUN
cana-3242	212	15	during	during	ADP
cana-3242	212	16	training	training	NOUN
cana-3242	212	17	,	,	PUNCT
cana-3242	212	18	following	follow	VERB
cana-3242	212	19	:	:	PUNCT
cana-3242	212	20	𝜂𝑡	𝜂𝑡	NOUN
cana-3242	212	21	=	=	PUNCT
cana-3242	212	22	𝜂min	𝜂min	NOUN
cana-3242	212	23	+	+	CCONJ
cana-3242	212	24	(	(	PUNCT
cana-3242	212	25	𝜂max	𝜂max	NOUN
cana-3242	212	26	−	−	PROPN
cana-3242	212	27	𝜂min	𝜂min	NOUN
cana-3242	212	28	)	)	PUNCT
cana-3242	212	29	⋅	⋅	PROPN
cana-3242	212	30	1+cos	1+co	NOUN
cana-3242	212	31	(	(	PUNCT
cana-3242	212	32	𝜋𝑡	𝜋𝑡	VERB
cana-3242	212	33	𝑇	𝑇	PROPN
cana-3242	212	34	)	)	PUNCT
cana-3242	212	35	2	2	NUM
cana-3242	212	36	where	where	SCONJ
cana-3242	212	37	𝑡	𝑡	PROPN
cana-3242	212	38	is	be	AUX
cana-3242	212	39	the	the	DET
cana-3242	212	40	current	current	ADJ
cana-3242	212	41	iteration	iteration	NOUN
cana-3242	212	42	and	and	CCONJ
cana-3242	212	43	𝑇	𝑇	PROPN
cana-3242	212	44	is	be	AUX
cana-3242	212	45	the	the	DET
cana-3242	212	46	total	total	ADJ
cana-3242	212	47	iterations	iteration	NOUN
cana-3242	212	48	in	in	ADP
cana-3242	212	49	one	one	NUM
cana-3242	212	50	cycle	cycle	NOUN
cana-3242	212	51	.	.	PUNCT
cana-3242	213	1	this	this	DET
cana-3242	213	2	schedule	schedule	NOUN
cana-3242	213	3	improves	improve	VERB
cana-3242	213	4	training	training	NOUN
cana-3242	213	5	efficiency	efficiency	NOUN
cana-3242	213	6	and	and	CCONJ
cana-3242	213	7	helps	help	VERB
cana-3242	213	8	the	the	DET
cana-3242	213	9	model	model	NOUN
cana-3242	213	10	converge	converge	VERB
cana-3242	213	11	more	more	ADV
cana-3242	213	12	smoothly	smoothly	ADV
cana-3242	213	13	.	.	PUNCT
cana-3242	214	1	regularization	regularization	NOUN
cana-3242	214	2	:	:	PUNCT
cana-3242	214	3	monte	monte	PROPN
cana-3242	214	4	carlo	carlo	PROPN
cana-3242	214	5	(	(	PUNCT
cana-3242	214	6	mc	mc	PROPN
cana-3242	214	7	)	)	PUNCT
cana-3242	214	8	dropout	dropout	NOUN
cana-3242	214	9	is	be	AUX
cana-3242	214	10	applied	apply	VERB
cana-3242	214	11	during	during	ADP
cana-3242	214	12	training	training	NOUN
cana-3242	214	13	and	and	CCONJ
cana-3242	214	14	testing	testing	NOUN
cana-3242	214	15	to	to	PART
cana-3242	214	16	estimate	estimate	VERB
cana-3242	214	17	uncertainty	uncertainty	NOUN
cana-3242	214	18	and	and	CCONJ
cana-3242	214	19	improve	improve	VERB
cana-3242	214	20	robustness	robustness	NOUN
cana-3242	214	21	.	.	PUNCT
cana-3242	215	1	mc	mc	PROPN
cana-3242	215	2	dropout	dropout	PROPN
cana-3242	215	3	randomly	randomly	ADV
cana-3242	215	4	drops	drop	VERB
cana-3242	215	5	a	a	DET
cana-3242	215	6	fraction	fraction	NOUN
cana-3242	215	7	𝑝	𝑝	NOUN
cana-3242	215	8	of	of	ADP
cana-3242	215	9	neurons	neuron	NOUN
cana-3242	215	10	during	during	ADP
cana-3242	215	11	each	each	DET
cana-3242	215	12	forward	forward	ADJ
cana-3242	215	13	pass	pass	NOUN
cana-3242	215	14	.	.	PUNCT
cana-3242	216	1	the	the	DET
cana-3242	216	2	final	final	ADJ
cana-3242	216	3	prediction	prediction	NOUN
cana-3242	216	4	is	be	AUX
cana-3242	216	5	calculated	calculate	VERB
cana-3242	216	6	as	as	SCONJ
cana-3242	216	7	the	the	DET
cana-3242	216	8	average	average	ADJ
cana-3242	216	9	output	output	NOUN
cana-3242	216	10	over	over	ADP
cana-3242	216	11	multiple	multiple	ADJ
cana-3242	216	12	stochastic	stochastic	NOUN
cana-3242	216	13	forward	forward	ADV
cana-3242	216	14	passes	pass	NOUN
cana-3242	216	15	:	:	PUNCT
cana-3242	216	16	�	�	PROPN
cana-3242	216	17	̂	̂	VERB
cana-3242	216	18	�	�	NOUN
cana-3242	216	19	=	=	SYM
cana-3242	216	20	1	1	NUM
cana-3242	216	21	𝑀	𝑀	PROPN
cana-3242	216	22	∑𝑀	∑𝑀	PROPN
cana-3242	216	23	𝑚=1	𝑚=1	PUNCT
cana-3242	217	1	𝑓dropout(𝑥,𝜃𝑚	𝑓dropout(𝑥,𝜃𝑚	X
cana-3242	217	2	)	)	PUNCT
cana-3242	217	3	where	where	SCONJ
cana-3242	217	4	𝑓dropout(𝑥	𝑓dropout(𝑥	NOUN
cana-3242	217	5	,	,	PUNCT
cana-3242	217	6	𝜃𝑚	𝜃𝑚	PRON
cana-3242	217	7	)	)	PUNCT
cana-3242	217	8	is	be	AUX
cana-3242	217	9	the	the	DET
cana-3242	217	10	model	model	NOUN
cana-3242	217	11	output	output	NOUN
cana-3242	217	12	for	for	ADP
cana-3242	217	13	the	the	DET
cana-3242	217	14	𝑚-th	𝑚-th	PROPN
cana-3242	217	15	forward	forward	ADV
cana-3242	217	16	pass	pass	VERB
cana-3242	217	17	,	,	PUNCT
cana-3242	217	18	and	and	CCONJ
cana-3242	217	19	𝑀	𝑀	PROPN
cana-3242	217	20	is	be	AUX
cana-3242	217	21	the	the	DET
cana-3242	217	22	total	total	ADJ
cana-3242	217	23	number	number	NOUN
cana-3242	217	24	of	of	ADP
cana-3242	217	25	passes	pass	NOUN
cana-3242	217	26	.	.	PUNCT
cana-3242	218	1	this	this	DET
cana-3242	218	2	approach	approach	NOUN
cana-3242	218	3	allows	allow	VERB
cana-3242	218	4	the	the	DET
cana-3242	218	5	model	model	NOUN
cana-3242	218	6	to	to	PART
cana-3242	218	7	account	account	VERB
cana-3242	218	8	for	for	ADP
cana-3242	218	9	uncertainty	uncertainty	NOUN
cana-3242	218	10	in	in	ADP
cana-3242	218	11	its	its	PRON
cana-3242	218	12	predictions	prediction	NOUN
cana-3242	218	13	and	and	CCONJ
cana-3242	218	14	avoid	avoid	VERB
cana-3242	218	15	overfitting	overfitte	VERB
cana-3242	218	16	.	.	PUNCT
cana-3242	219	1	the	the	DET
cana-3242	219	2	training	training	NOUN
cana-3242	219	3	methodology	methodology	NOUN
cana-3242	219	4	combines	combine	VERB
cana-3242	219	5	a	a	DET
cana-3242	219	6	multi	multi	ADJ
cana-3242	219	7	-	-	ADJ
cana-3242	219	8	task	task	ADJ
cana-3242	219	9	loss	loss	NOUN
cana-3242	219	10	to	to	PART
cana-3242	219	11	balance	balance	VERB
cana-3242	219	12	classification	classification	NOUN
cana-3242	219	13	and	and	CCONJ
cana-3242	219	14	interpretability	interpretability	NOUN
cana-3242	219	15	,	,	PUNCT
cana-3242	219	16	efficient	efficient	ADJ
cana-3242	219	17	optimization	optimization	NOUN
cana-3242	219	18	using	use	VERB
cana-3242	219	19	gradient	gradient	ADJ
cana-3242	219	20	accumulation	accumulation	NOUN
cana-3242	219	21	and	and	CCONJ
cana-3242	219	22	cyclic	cyclic	ADJ
cana-3242	219	23	learning	learning	NOUN
cana-3242	219	24	rates	rate	NOUN
cana-3242	219	25	,	,	PUNCT
cana-3242	219	26	and	and	CCONJ
cana-3242	219	27	robust	robust	ADJ
cana-3242	219	28	regularization	regularization	NOUN
cana-3242	219	29	communications	communication	NOUN
cana-3242	219	30	on	on	ADP
cana-3242	219	31	applied	apply	VERB
cana-3242	219	32	nonlinear	nonlinear	ADJ
cana-3242	219	33	analysis	analysis	NOUN
cana-3242	219	34	issn	issn	NOUN
cana-3242	219	35	:	:	PUNCT
cana-3242	219	36	1074	1074	NUM
cana-3242	219	37	-	-	PUNCT
cana-3242	219	38	133x	133x	NUM
cana-3242	219	39	vol	vol	NOUN
cana-3242	219	40	32	32	NUM
cana-3242	219	41	no	no	NOUN
cana-3242	219	42	.	.	PUNCT
cana-3242	220	1	6s	6s	NUM
cana-3242	220	2	(	(	PUNCT
cana-3242	220	3	2025	2025	NUM
cana-3242	220	4	)	)	PUNCT
cana-3242	220	5	48	48	NUM
cana-3242	220	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	220	7	through	through	ADP
cana-3242	220	8	monte	monte	PROPN
cana-3242	220	9	carlo	carlo	PROPN
cana-3242	220	10	dropout	dropout	PROPN
cana-3242	220	11	.	.	PUNCT
cana-3242	221	1	these	these	DET
cana-3242	221	2	methods	method	NOUN
cana-3242	221	3	work	work	VERB
cana-3242	221	4	together	together	ADV
cana-3242	221	5	to	to	PART
cana-3242	221	6	ensure	ensure	VERB
cana-3242	221	7	that	that	SCONJ
cana-3242	221	8	the	the	DET
cana-3242	221	9	framework	framework	NOUN
cana-3242	221	10	is	be	AUX
cana-3242	221	11	accurate	accurate	ADJ
cana-3242	221	12	,	,	PUNCT
cana-3242	221	13	interpretable	interpretable	ADJ
cana-3242	221	14	,	,	PUNCT
cana-3242	221	15	and	and	CCONJ
cana-3242	221	16	robust	robust	ADJ
cana-3242	221	17	during	during	ADP
cana-3242	221	18	real	real	ADJ
cana-3242	221	19	-	-	PUNCT
cana-3242	221	20	world	world	NOUN
cana-3242	221	21	deployment	deployment	NOUN
cana-3242	221	22	.	.	PUNCT
cana-3242	222	1	3	3	NUM
cana-3242	222	2	experimental	experimental	ADJ
cana-3242	222	3	study	study	NOUN
cana-3242	222	4	3.1	3.1	NUM
cana-3242	222	5	datasets	dataset	NOUN
cana-3242	222	6	the	the	DET
cana-3242	222	7	experiments	experiment	NOUN
cana-3242	222	8	for	for	ADP
cana-3242	222	9	this	this	DET
cana-3242	222	10	research	research	NOUN
cana-3242	222	11	used	use	VERB
cana-3242	222	12	the	the	DET
cana-3242	222	13	biobank	biobank	ADJ
cana-3242	222	14	dataset	dataset	NOUN
cana-3242	223	1	[	[	X
cana-3242	223	2	23	23	NUM
cana-3242	223	3	]	]	PUNCT
cana-3242	223	4	,	,	PUNCT
cana-3242	223	5	a	a	DET
cana-3242	223	6	large	large	ADJ
cana-3242	223	7	-	-	PUNCT
cana-3242	223	8	scale	scale	NOUN
cana-3242	223	9	biomedical	biomedical	ADJ
cana-3242	223	10	resource	resource	NOUN
cana-3242	223	11	containing	contain	VERB
cana-3242	223	12	multimodal	multimodal	NOUN
cana-3242	223	13	health	health	NOUN
cana-3242	223	14	data	datum	NOUN
cana-3242	223	15	.	.	PUNCT
cana-3242	224	1	this	this	DET
cana-3242	224	2	dataset	dataset	NOUN
cana-3242	224	3	includes	include	VERB
cana-3242	224	4	detailed	detailed	ADJ
cana-3242	224	5	patient	patient	ADJ
cana-3242	224	6	symptom	symptom	NOUN
cana-3242	224	7	records	record	NOUN
cana-3242	224	8	,	,	PUNCT
cana-3242	224	9	imaging	imaging	NOUN
cana-3242	224	10	data	datum	NOUN
cana-3242	224	11	,	,	PUNCT
cana-3242	224	12	and	and	CCONJ
cana-3242	224	13	laboratory	laboratory	NOUN
cana-3242	224	14	results	result	NOUN
cana-3242	224	15	,	,	PUNCT
cana-3242	224	16	making	make	VERB
cana-3242	224	17	it	it	PRON
cana-3242	224	18	suitable	suitable	ADJ
cana-3242	224	19	for	for	ADP
cana-3242	224	20	developing	develop	VERB
cana-3242	224	21	and	and	CCONJ
cana-3242	224	22	evaluating	evaluate	VERB
cana-3242	224	23	the	the	DET
cana-3242	224	24	proposed	propose	VERB
cana-3242	224	25	framework	framework	NOUN
cana-3242	224	26	.	.	PUNCT
cana-3242	225	1	the	the	DET
cana-3242	225	2	symptom	symptom	NOUN
cana-3242	225	3	data	data	PROPN
cana-3242	225	4	consists	consist	VERB
cana-3242	225	5	of	of	ADP
cana-3242	225	6	patient	patient	NOUN
cana-3242	225	7	-	-	PUNCT
cana-3242	225	8	reported	report	VERB
cana-3242	225	9	information	information	NOUN
cana-3242	225	10	about	about	ADP
cana-3242	225	11	various	various	ADJ
cana-3242	225	12	health	health	NOUN
cana-3242	225	13	conditions	condition	NOUN
cana-3242	225	14	.	.	PUNCT
cana-3242	226	1	these	these	DET
cana-3242	226	2	symptoms	symptom	NOUN
cana-3242	226	3	are	be	AUX
cana-3242	226	4	stored	store	VERB
cana-3242	226	5	as	as	ADP
cana-3242	226	6	structured	structure	VERB
cana-3242	226	7	text	text	NOUN
cana-3242	226	8	fields	field	NOUN
cana-3242	226	9	and	and	CCONJ
cana-3242	226	10	are	be	AUX
cana-3242	226	11	processed	process	VERB
cana-3242	226	12	to	to	PART
cana-3242	226	13	remove	remove	VERB
cana-3242	226	14	noise	noise	NOUN
cana-3242	226	15	,	,	PUNCT
cana-3242	226	16	such	such	ADJ
cana-3242	226	17	as	as	ADP
cana-3242	226	18	inconsistent	inconsistent	ADJ
cana-3242	226	19	formats	format	NOUN
cana-3242	226	20	or	or	CCONJ
cana-3242	226	21	spelling	spelling	NOUN
cana-3242	226	22	errors	error	NOUN
cana-3242	226	23	.	.	PUNCT
cana-3242	227	1	tokenization	tokenization	NOUN
cana-3242	227	2	and	and	CCONJ
cana-3242	227	3	text	text	NOUN
cana-3242	227	4	encoding	encoding	NOUN
cana-3242	227	5	are	be	AUX
cana-3242	227	6	performed	perform	VERB
cana-3242	227	7	to	to	PART
cana-3242	227	8	convert	convert	VERB
cana-3242	227	9	the	the	DET
cana-3242	227	10	symptom	symptom	NOUN
cana-3242	227	11	descriptions	description	NOUN
cana-3242	227	12	into	into	ADP
cana-3242	227	13	numerical	numerical	ADJ
cana-3242	227	14	representations	representation	NOUN
cana-3242	227	15	that	that	SCONJ
cana-3242	227	16	the	the	DET
cana-3242	227	17	symptom	symptom	NOUN
cana-3242	227	18	encoder	encoder	NOUN
cana-3242	227	19	can	can	AUX
cana-3242	227	20	process	process	VERB
cana-3242	227	21	effectively	effectively	ADV
cana-3242	227	22	.	.	PUNCT
cana-3242	228	1	the	the	DET
cana-3242	228	2	dataset	dataset	NOUN
cana-3242	228	3	is	be	AUX
cana-3242	228	4	enriched	enrich	VERB
cana-3242	228	5	with	with	ADP
cana-3242	228	6	medical	medical	ADJ
cana-3242	228	7	ontologies	ontology	NOUN
cana-3242	228	8	to	to	PART
cana-3242	228	9	ensure	ensure	VERB
cana-3242	228	10	accurate	accurate	ADJ
cana-3242	228	11	representation	representation	NOUN
cana-3242	228	12	of	of	ADP
cana-3242	228	13	relationships	relationship	NOUN
cana-3242	228	14	between	between	ADP
cana-3242	228	15	symptoms	symptom	NOUN
cana-3242	228	16	.	.	PUNCT
cana-3242	229	1	the	the	DET
cana-3242	229	2	imaging	imaging	NOUN
cana-3242	229	3	data	datum	NOUN
cana-3242	229	4	includes	include	VERB
cana-3242	229	5	ct	ct	PROPN
cana-3242	229	6	scans	scan	NOUN
cana-3242	229	7	and	and	CCONJ
cana-3242	229	8	microscopic	microscopic	ADJ
cana-3242	229	9	images	image	NOUN
cana-3242	229	10	of	of	ADP
cana-3242	229	11	blood	blood	NOUN
cana-3242	229	12	samples	sample	NOUN
cana-3242	229	13	.	.	PUNCT
cana-3242	230	1	these	these	DET
cana-3242	230	2	images	image	NOUN
cana-3242	230	3	are	be	AUX
cana-3242	230	4	preprocessed	preprocesse	VERB
cana-3242	230	5	to	to	PART
cana-3242	230	6	ensure	ensure	VERB
cana-3242	230	7	uniformity	uniformity	NOUN
cana-3242	230	8	and	and	CCONJ
cana-3242	230	9	quality	quality	NOUN
cana-3242	230	10	.	.	PUNCT
cana-3242	231	1	the	the	DET
cana-3242	231	2	preprocessing	preprocessing	NOUN
cana-3242	231	3	involves	involve	VERB
cana-3242	231	4	resizing	resize	VERB
cana-3242	231	5	the	the	DET
cana-3242	231	6	images	image	NOUN
cana-3242	231	7	to	to	ADP
cana-3242	231	8	a	a	DET
cana-3242	231	9	fixed	fix	VERB
cana-3242	231	10	dimension	dimension	NOUN
cana-3242	231	11	,	,	PUNCT
cana-3242	231	12	normalization	normalization	NOUN
cana-3242	231	13	to	to	PART
cana-3242	231	14	standardize	standardize	VERB
cana-3242	231	15	pixel	pixel	ADJ
cana-3242	231	16	values	value	NOUN
cana-3242	231	17	,	,	PUNCT
cana-3242	231	18	and	and	CCONJ
cana-3242	231	19	augmentation	augmentation	NOUN
cana-3242	231	20	techniques	technique	NOUN
cana-3242	231	21	such	such	ADJ
cana-3242	231	22	as	as	ADP
cana-3242	231	23	rotation	rotation	NOUN
cana-3242	231	24	and	and	CCONJ
cana-3242	231	25	flipping	flip	VERB
cana-3242	231	26	to	to	PART
cana-3242	231	27	increase	increase	VERB
cana-3242	231	28	the	the	DET
cana-3242	231	29	diversity	diversity	NOUN
cana-3242	231	30	of	of	ADP
cana-3242	231	31	the	the	DET
cana-3242	231	32	training	training	NOUN
cana-3242	231	33	data	datum	NOUN
cana-3242	231	34	.	.	PUNCT
cana-3242	232	1	noisy	noisy	ADJ
cana-3242	232	2	or	or	CCONJ
cana-3242	232	3	low	low	ADJ
cana-3242	232	4	-	-	PUNCT
cana-3242	232	5	quality	quality	NOUN
cana-3242	232	6	images	image	NOUN
cana-3242	232	7	are	be	AUX
cana-3242	232	8	excluded	exclude	VERB
cana-3242	232	9	to	to	PART
cana-3242	232	10	avoid	avoid	VERB
cana-3242	232	11	introducing	introduce	VERB
cana-3242	232	12	artifacts	artifact	NOUN
cana-3242	232	13	into	into	ADP
cana-3242	232	14	the	the	DET
cana-3242	232	15	training	training	NOUN
cana-3242	232	16	process	process	NOUN
cana-3242	232	17	.	.	PUNCT
cana-3242	233	1	the	the	DET
cana-3242	233	2	laboratory	laboratory	NOUN
cana-3242	233	3	data	data	NOUN
cana-3242	233	4	contains	contain	VERB
cana-3242	233	5	numerical	numerical	ADJ
cana-3242	233	6	results	result	NOUN
cana-3242	233	7	for	for	ADP
cana-3242	233	8	biomarkers	biomarker	NOUN
cana-3242	233	9	and	and	CCONJ
cana-3242	233	10	biochemical	biochemical	ADJ
cana-3242	233	11	tests	test	NOUN
cana-3242	233	12	.	.	PUNCT
cana-3242	234	1	missing	miss	VERB
cana-3242	234	2	values	value	NOUN
cana-3242	234	3	are	be	AUX
cana-3242	234	4	handled	handle	VERB
cana-3242	234	5	using	use	VERB
cana-3242	234	6	the	the	DET
cana-3242	234	7	adaptive	adaptive	ADJ
cana-3242	234	8	missing	missing	ADJ
cana-3242	234	9	data	datum	NOUN
cana-3242	234	10	imputation	imputation	NOUN
cana-3242	234	11	method	method	NOUN
cana-3242	234	12	,	,	PUNCT
cana-3242	234	13	which	which	PRON
cana-3242	234	14	leverages	leverage	VERB
cana-3242	234	15	generative	generative	ADJ
cana-3242	234	16	adversarial	adversarial	ADJ
cana-3242	234	17	networks	network	NOUN
cana-3242	234	18	to	to	PART
cana-3242	234	19	predict	predict	VERB
cana-3242	234	20	and	and	CCONJ
cana-3242	234	21	fill	fill	VERB
cana-3242	234	22	missing	missing	ADJ
cana-3242	234	23	values	value	NOUN
cana-3242	234	24	.	.	PUNCT
cana-3242	235	1	outliers	outlier	NOUN
cana-3242	235	2	are	be	AUX
cana-3242	235	3	identified	identify	VERB
cana-3242	235	4	using	use	VERB
cana-3242	235	5	statistical	statistical	ADJ
cana-3242	235	6	thresholds	threshold	NOUN
cana-3242	235	7	and	and	CCONJ
cana-3242	235	8	handled	handle	VERB
cana-3242	235	9	through	through	ADP
cana-3242	235	10	winsorization	winsorization	NOUN
cana-3242	235	11	,	,	PUNCT
cana-3242	235	12	where	where	SCONJ
cana-3242	235	13	extreme	extreme	ADJ
cana-3242	235	14	values	value	NOUN
cana-3242	235	15	are	be	AUX
cana-3242	235	16	replaced	replace	VERB
cana-3242	235	17	with	with	ADP
cana-3242	235	18	the	the	DET
cana-3242	235	19	nearest	near	ADJ
cana-3242	235	20	valid	valid	ADJ
cana-3242	235	21	values	value	NOUN
cana-3242	235	22	within	within	ADP
cana-3242	235	23	the	the	DET
cana-3242	235	24	range	range	NOUN
cana-3242	235	25	.	.	PUNCT
cana-3242	236	1	the	the	DET
cana-3242	236	2	biobank	biobank	ADJ
cana-3242	236	3	dataset	dataset	NOUN
cana-3242	236	4	is	be	AUX
cana-3242	236	5	divided	divide	VERB
cana-3242	236	6	into	into	ADP
cana-3242	236	7	training	training	NOUN
cana-3242	236	8	,	,	PUNCT
cana-3242	236	9	validation	validation	NOUN
cana-3242	236	10	,	,	PUNCT
cana-3242	236	11	and	and	CCONJ
cana-3242	236	12	test	test	NOUN
cana-3242	236	13	sets	set	NOUN
cana-3242	236	14	to	to	PART
cana-3242	236	15	ensure	ensure	VERB
cana-3242	236	16	unbiased	unbiased	ADJ
cana-3242	236	17	evaluation	evaluation	NOUN
cana-3242	236	18	.	.	PUNCT
cana-3242	237	1	stratified	stratified	ADJ
cana-3242	237	2	sampling	sampling	NOUN
cana-3242	237	3	is	be	AUX
cana-3242	237	4	used	use	VERB
cana-3242	237	5	to	to	PART
cana-3242	237	6	maintain	maintain	VERB
cana-3242	237	7	the	the	DET
cana-3242	237	8	distribution	distribution	NOUN
cana-3242	237	9	of	of	ADP
cana-3242	237	10	blood	blood	NOUN
cana-3242	237	11	cancer	cancer	NOUN
cana-3242	237	12	cases	case	NOUN
cana-3242	237	13	across	across	ADP
cana-3242	237	14	these	these	DET
cana-3242	237	15	subsets	subset	NOUN
cana-3242	237	16	.	.	PUNCT
cana-3242	238	1	the	the	DET
cana-3242	238	2	dataset	dataset	NOUN
cana-3242	238	3	’s	’s	PART
cana-3242	238	4	multimodal	multimodal	NOUN
cana-3242	238	5	nature	nature	NOUN
cana-3242	238	6	allows	allow	VERB
cana-3242	238	7	the	the	DET
cana-3242	238	8	model	model	NOUN
cana-3242	238	9	to	to	PART
cana-3242	238	10	learn	learn	VERB
cana-3242	238	11	from	from	ADP
cana-3242	238	12	diverse	diverse	ADJ
cana-3242	238	13	data	datum	NOUN
cana-3242	238	14	types	type	NOUN
cana-3242	238	15	,	,	PUNCT
cana-3242	238	16	making	make	VERB
cana-3242	238	17	it	it	PRON
cana-3242	238	18	highly	highly	ADV
cana-3242	238	19	relevant	relevant	ADJ
cana-3242	238	20	for	for	ADP
cana-3242	238	21	the	the	DET
cana-3242	238	22	proposed	propose	VERB
cana-3242	238	23	predictive	predictive	ADJ
cana-3242	238	24	framework	framework	NOUN
cana-3242	238	25	.	.	PUNCT
cana-3242	239	1	3.2	3.2	NUM
cana-3242	239	2	implementation	implementation	NOUN
cana-3242	239	3	details	detail	NOUN
cana-3242	239	4	the	the	DET
cana-3242	239	5	framework	framework	NOUN
cana-3242	239	6	is	be	AUX
cana-3242	239	7	implemented	implement	VERB
cana-3242	239	8	using	use	VERB
cana-3242	239	9	pytorch	pytorch	NOUN
cana-3242	239	10	for	for	ADP
cana-3242	239	11	model	model	NOUN
cana-3242	239	12	development	development	NOUN
cana-3242	239	13	,	,	PUNCT
cana-3242	239	14	allowing	allow	VERB
cana-3242	239	15	customization	customization	NOUN
cana-3242	239	16	of	of	ADP
cana-3242	239	17	the	the	DET
cana-3242	239	18	symptom	symptom	NOUN
cana-3242	239	19	encoder	encoder	NOUN
cana-3242	239	20	,	,	PUNCT
cana-3242	239	21	imaging	imaging	NOUN
cana-3242	239	22	processor	processor	NOUN
cana-3242	239	23	,	,	PUNCT
cana-3242	239	24	lab	lab	NOUN
cana-3242	239	25	data	datum	NOUN
cana-3242	239	26	module	module	NOUN
cana-3242	239	27	,	,	PUNCT
cana-3242	239	28	and	and	CCONJ
cana-3242	239	29	fusion	fusion	NOUN
cana-3242	239	30	strategy	strategy	NOUN
cana-3242	239	31	.	.	PUNCT
cana-3242	240	1	apache	apache	NOUN
cana-3242	240	2	spark	spark	NOUN
cana-3242	240	3	handles	handle	VERB
cana-3242	240	4	scalability	scalability	NOUN
cana-3242	240	5	by	by	ADP
cana-3242	240	6	processing	process	VERB
cana-3242	240	7	large	large	ADJ
cana-3242	240	8	datasets	dataset	NOUN
cana-3242	240	9	efficiently	efficiently	ADV
cana-3242	240	10	,	,	PUNCT
cana-3242	240	11	particularly	particularly	ADV
cana-3242	240	12	for	for	ADP
cana-3242	240	13	imaging	imaging	NOUN
cana-3242	240	14	and	and	CCONJ
cana-3242	240	15	lab	lab	NOUN
cana-3242	240	16	data	datum	NOUN
cana-3242	240	17	.	.	PUNCT
cana-3242	241	1	shap	shap	PROPN
cana-3242	241	2	is	be	AUX
cana-3242	241	3	integrated	integrate	VERB
cana-3242	241	4	to	to	PART
cana-3242	241	5	compute	compute	VERB
cana-3242	241	6	feature	feature	NOUN
cana-3242	241	7	importance	importance	NOUN
cana-3242	241	8	for	for	ADP
cana-3242	241	9	symptoms	symptom	NOUN
cana-3242	241	10	,	,	PUNCT
cana-3242	241	11	imaging	imaging	NOUN
cana-3242	241	12	features	feature	NOUN
cana-3242	241	13	,	,	PUNCT
cana-3242	241	14	and	and	CCONJ
cana-3242	241	15	lab	lab	NOUN
cana-3242	241	16	markers	marker	NOUN
cana-3242	241	17	,	,	PUNCT
cana-3242	241	18	providing	provide	VERB
cana-3242	241	19	global	global	ADJ
cana-3242	241	20	and	and	CCONJ
cana-3242	241	21	instance	instance	NOUN
cana-3242	241	22	-	-	PUNCT
cana-3242	241	23	level	level	NOUN
cana-3242	241	24	explanations	explanation	NOUN
cana-3242	241	25	.	.	PUNCT
cana-3242	242	1	the	the	DET
cana-3242	242	2	implementation	implementation	NOUN
cana-3242	242	3	is	be	AUX
cana-3242	242	4	executed	execute	VERB
cana-3242	242	5	on	on	ADP
cana-3242	242	6	nvidia	nvidia	PROPN
cana-3242	242	7	gpu	gpu	PROPN
cana-3242	242	8	-	-	PUNCT
cana-3242	242	9	enabled	enable	VERB
cana-3242	242	10	servers	server	NOUN
cana-3242	242	11	for	for	ADP
cana-3242	242	12	efficient	efficient	ADJ
cana-3242	242	13	training	training	NOUN
cana-3242	242	14	,	,	PUNCT
cana-3242	242	15	especially	especially	ADV
cana-3242	242	16	for	for	ADP
cana-3242	242	17	handling	handle	VERB
cana-3242	242	18	high	high	ADJ
cana-3242	242	19	-	-	PUNCT
cana-3242	242	20	dimensional	dimensional	ADJ
cana-3242	242	21	image	image	NOUN
cana-3242	242	22	data	datum	NOUN
cana-3242	242	23	and	and	CCONJ
cana-3242	242	24	multimodal	multimodal	NOUN
cana-3242	242	25	feature	feature	NOUN
cana-3242	242	26	fusion	fusion	NOUN
cana-3242	242	27	.	.	PUNCT
cana-3242	243	1	3.3	3.3	NUM
cana-3242	243	2	evaluation	evaluation	NOUN
cana-3242	243	3	metrics	metric	NOUN
cana-3242	243	4	the	the	DET
cana-3242	243	5	framework	framework	NOUN
cana-3242	243	6	's	's	PART
cana-3242	243	7	performance	performance	NOUN
cana-3242	243	8	is	be	AUX
cana-3242	243	9	measured	measure	VERB
cana-3242	243	10	using	using	NOUN
cana-3242	243	11	accuracy	accuracy	NOUN
cana-3242	243	12	,	,	PUNCT
cana-3242	243	13	precision	precision	NOUN
cana-3242	243	14	,	,	PUNCT
cana-3242	243	15	recall	recall	NOUN
cana-3242	243	16	,	,	PUNCT
cana-3242	243	17	f1	f1	NOUN
cana-3242	243	18	-	-	PUNCT
cana-3242	243	19	score	score	NOUN
cana-3242	243	20	,	,	PUNCT
cana-3242	243	21	and	and	CCONJ
cana-3242	243	22	auc	auc	NOUN
cana-3242	243	23	-	-	PUNCT
cana-3242	243	24	roc	roc	NOUN
cana-3242	243	25	to	to	PART
cana-3242	243	26	evaluate	evaluate	VERB
cana-3242	243	27	its	its	PRON
cana-3242	243	28	ability	ability	NOUN
cana-3242	243	29	to	to	PART
cana-3242	243	30	predict	predict	VERB
cana-3242	243	31	blood	blood	NOUN
cana-3242	243	32	cancer	cancer	NOUN
cana-3242	243	33	cases	case	NOUN
cana-3242	243	34	effectively	effectively	ADV
cana-3242	243	35	.	.	PUNCT
cana-3242	244	1	robustness	robustness	NOUN
cana-3242	244	2	is	be	AUX
cana-3242	244	3	assessed	assess	VERB
cana-3242	244	4	by	by	ADP
cana-3242	244	5	introducing	introduce	VERB
cana-3242	244	6	communications	communication	NOUN
cana-3242	244	7	on	on	ADP
cana-3242	244	8	applied	apply	VERB
cana-3242	244	9	nonlinear	nonlinear	ADJ
cana-3242	244	10	analysis	analysis	NOUN
cana-3242	244	11	issn	issn	NOUN
cana-3242	244	12	:	:	PUNCT
cana-3242	244	13	1074	1074	NUM
cana-3242	244	14	-	-	PUNCT
cana-3242	244	15	133x	133x	NUM
cana-3242	244	16	vol	vol	NOUN
cana-3242	244	17	32	32	NUM
cana-3242	244	18	no	no	NOUN
cana-3242	244	19	.	.	PUNCT
cana-3242	245	1	6s	6s	NUM
cana-3242	245	2	(	(	PUNCT
cana-3242	245	3	2025	2025	NUM
cana-3242	245	4	)	)	PUNCT
cana-3242	245	5	49	49	NUM
cana-3242	246	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	246	2	adversarial	adversarial	ADJ
cana-3242	246	3	noise	noise	NOUN
cana-3242	246	4	to	to	ADP
cana-3242	246	5	input	input	NOUN
cana-3242	246	6	data	datum	NOUN
cana-3242	246	7	and	and	CCONJ
cana-3242	246	8	testing	test	VERB
cana-3242	246	9	the	the	DET
cana-3242	246	10	model	model	NOUN
cana-3242	246	11	on	on	ADP
cana-3242	246	12	datasets	dataset	NOUN
cana-3242	246	13	with	with	ADP
cana-3242	246	14	different	different	ADJ
cana-3242	246	15	demographic	demographic	ADJ
cana-3242	246	16	and	and	CCONJ
cana-3242	246	17	institutional	institutional	ADJ
cana-3242	246	18	variations	variation	NOUN
cana-3242	246	19	.	.	PUNCT
cana-3242	247	1	interpretability	interpretability	NOUN
cana-3242	247	2	is	be	AUX
cana-3242	247	3	evaluated	evaluate	VERB
cana-3242	247	4	through	through	ADP
cana-3242	247	5	clinician	clinician	ADJ
cana-3242	247	6	feedback	feedback	NOUN
cana-3242	247	7	,	,	PUNCT
cana-3242	247	8	where	where	SCONJ
cana-3242	247	9	shap	shap	PROPN
cana-3242	247	10	and	and	CCONJ
cana-3242	247	11	lrp	lrp	PROPN
cana-3242	247	12	outputs	output	NOUN
cana-3242	247	13	are	be	AUX
cana-3242	247	14	validated	validate	VERB
cana-3242	247	15	for	for	ADP
cana-3242	247	16	alignment	alignment	NOUN
cana-3242	247	17	with	with	ADP
cana-3242	247	18	clinical	clinical	ADJ
cana-3242	247	19	knowledge	knowledge	NOUN
cana-3242	247	20	.	.	PUNCT
cana-3242	248	1	quantitative	quantitative	ADJ
cana-3242	248	2	stability	stability	NOUN
cana-3242	248	3	is	be	AUX
cana-3242	248	4	analyzed	analyze	VERB
cana-3242	248	5	by	by	ADP
cana-3242	248	6	ensuring	ensure	VERB
cana-3242	248	7	consistent	consistent	ADJ
cana-3242	248	8	shap	shap	NOUN
cana-3242	248	9	values	value	NOUN
cana-3242	248	10	for	for	ADP
cana-3242	248	11	similar	similar	ADJ
cana-3242	248	12	input	input	NOUN
cana-3242	248	13	cases	case	NOUN
cana-3242	248	14	,	,	PUNCT
cana-3242	248	15	confirming	confirm	VERB
cana-3242	248	16	the	the	DET
cana-3242	248	17	reliability	reliability	NOUN
cana-3242	248	18	of	of	ADP
cana-3242	248	19	the	the	DET
cana-3242	248	20	explanations	explanation	NOUN
cana-3242	248	21	.	.	PUNCT
cana-3242	249	1	metrics	metric	NOUN
cana-3242	249	2	for	for	ADP
cana-3242	249	3	performance	performance	NOUN
cana-3242	249	4	:	:	PUNCT
cana-3242	249	5	to	to	PART
cana-3242	249	6	measure	measure	VERB
cana-3242	249	7	the	the	DET
cana-3242	249	8	predictive	predictive	ADJ
cana-3242	249	9	accuracy	accuracy	NOUN
cana-3242	249	10	of	of	ADP
cana-3242	249	11	the	the	DET
cana-3242	249	12	framework	framework	NOUN
cana-3242	249	13	,	,	PUNCT
cana-3242	249	14	metrics	metric	NOUN
cana-3242	249	15	such	such	ADJ
cana-3242	249	16	as	as	ADP
cana-3242	249	17	accuracy	accuracy	NOUN
cana-3242	249	18	,	,	PUNCT
cana-3242	249	19	precision	precision	NOUN
cana-3242	249	20	,	,	PUNCT
cana-3242	249	21	recall	recall	NOUN
cana-3242	249	22	,	,	PUNCT
cana-3242	249	23	f1	f1	NOUN
cana-3242	249	24	-	-	PUNCT
cana-3242	249	25	score	score	NOUN
cana-3242	249	26	,	,	PUNCT
cana-3242	249	27	and	and	CCONJ
cana-3242	249	28	auc	auc	NOUN
cana-3242	249	29	-	-	PUNCT
cana-3242	249	30	roc	roc	NOUN
cana-3242	249	31	were	be	AUX
cana-3242	249	32	used	use	VERB
cana-3242	249	33	.	.	PUNCT
cana-3242	250	1	accuracy	accuracy	NOUN
cana-3242	250	2	evaluated	evaluate	VERB
cana-3242	250	3	the	the	DET
cana-3242	250	4	overall	overall	ADJ
cana-3242	250	5	proportion	proportion	NOUN
cana-3242	250	6	of	of	ADP
cana-3242	250	7	correct	correct	ADJ
cana-3242	250	8	predictions	prediction	NOUN
cana-3242	250	9	out	out	ADP
cana-3242	250	10	of	of	ADP
cana-3242	250	11	all	all	DET
cana-3242	250	12	predictions	prediction	NOUN
cana-3242	250	13	made	make	VERB
cana-3242	250	14	by	by	ADP
cana-3242	250	15	the	the	DET
cana-3242	250	16	model	model	NOUN
cana-3242	250	17	.	.	PUNCT
cana-3242	251	1	precision	precision	NOUN
cana-3242	251	2	calculated	calculate	VERB
cana-3242	251	3	the	the	DET
cana-3242	251	4	ratio	ratio	NOUN
cana-3242	251	5	of	of	ADP
cana-3242	251	6	correctly	correctly	ADV
cana-3242	251	7	predicted	predict	VERB
cana-3242	251	8	positive	positive	ADJ
cana-3242	251	9	cases	case	NOUN
cana-3242	251	10	to	to	ADP
cana-3242	251	11	all	all	DET
cana-3242	251	12	predicted	predict	VERB
cana-3242	251	13	positives	positive	NOUN
cana-3242	251	14	,	,	PUNCT
cana-3242	251	15	providing	provide	VERB
cana-3242	251	16	insights	insight	NOUN
cana-3242	251	17	into	into	ADP
cana-3242	251	18	the	the	DET
cana-3242	251	19	model	model	NOUN
cana-3242	251	20	’s	’s	PART
cana-3242	251	21	ability	ability	NOUN
cana-3242	251	22	to	to	PART
cana-3242	251	23	avoid	avoid	VERB
cana-3242	251	24	false	false	ADJ
cana-3242	251	25	positives	positive	NOUN
cana-3242	251	26	.	.	PUNCT
cana-3242	252	1	recall	recall	NOUN
cana-3242	252	2	,	,	PUNCT
cana-3242	252	3	also	also	ADV
cana-3242	252	4	known	know	VERB
cana-3242	252	5	as	as	ADP
cana-3242	252	6	sensitivity	sensitivity	NOUN
cana-3242	252	7	,	,	PUNCT
cana-3242	252	8	measured	measure	VERB
cana-3242	252	9	the	the	DET
cana-3242	252	10	proportion	proportion	NOUN
cana-3242	252	11	of	of	ADP
cana-3242	252	12	true	true	ADJ
cana-3242	252	13	positive	positive	ADJ
cana-3242	252	14	cases	case	NOUN
cana-3242	252	15	correctly	correctly	ADV
cana-3242	252	16	identified	identify	VERB
cana-3242	252	17	,	,	PUNCT
cana-3242	252	18	highlighting	highlight	VERB
cana-3242	252	19	the	the	DET
cana-3242	252	20	model	model	NOUN
cana-3242	252	21	’s	’s	PART
cana-3242	252	22	ability	ability	NOUN
cana-3242	252	23	to	to	PART
cana-3242	252	24	detect	detect	VERB
cana-3242	252	25	actual	actual	ADJ
cana-3242	252	26	blood	blood	NOUN
cana-3242	252	27	cancer	cancer	NOUN
cana-3242	252	28	cases	case	NOUN
cana-3242	252	29	.	.	PUNCT
cana-3242	253	1	the	the	DET
cana-3242	253	2	f1	f1	NOUN
cana-3242	253	3	-	-	PUNCT
cana-3242	253	4	score	score	NOUN
cana-3242	253	5	,	,	PUNCT
cana-3242	253	6	which	which	PRON
cana-3242	253	7	is	be	AUX
cana-3242	253	8	the	the	DET
cana-3242	253	9	harmonic	harmonic	ADJ
cana-3242	253	10	mean	mean	NOUN
cana-3242	253	11	of	of	ADP
cana-3242	253	12	precision	precision	NOUN
cana-3242	253	13	and	and	CCONJ
cana-3242	253	14	recall	recall	NOUN
cana-3242	253	15	,	,	PUNCT
cana-3242	253	16	provided	provide	VERB
cana-3242	253	17	a	a	DET
cana-3242	253	18	balanced	balanced	ADJ
cana-3242	253	19	view	view	NOUN
cana-3242	253	20	of	of	ADP
cana-3242	253	21	the	the	DET
cana-3242	253	22	model	model	NOUN
cana-3242	253	23	’s	’s	PART
cana-3242	253	24	performance	performance	NOUN
cana-3242	253	25	,	,	PUNCT
cana-3242	253	26	particularly	particularly	ADV
cana-3242	253	27	useful	useful	ADJ
cana-3242	253	28	in	in	ADP
cana-3242	253	29	scenarios	scenario	NOUN
cana-3242	253	30	with	with	ADP
cana-3242	253	31	imbalanced	imbalanced	ADJ
cana-3242	253	32	datasets	dataset	NOUN
cana-3242	253	33	.	.	PUNCT
cana-3242	254	1	the	the	DET
cana-3242	254	2	auc	auc	NOUN
cana-3242	254	3	-	-	PUNCT
cana-3242	254	4	roc	roc	NOUN
cana-3242	254	5	(	(	PUNCT
cana-3242	254	6	area	area	NOUN
cana-3242	254	7	under	under	ADP
cana-3242	254	8	the	the	DET
cana-3242	254	9	receiver	receiver	NOUN
cana-3242	254	10	operating	operate	VERB
cana-3242	254	11	characteristic	characteristic	ADJ
cana-3242	254	12	curve	curve	NOUN
cana-3242	254	13	)	)	PUNCT
cana-3242	254	14	assessed	assess	VERB
cana-3242	254	15	the	the	DET
cana-3242	254	16	model	model	NOUN
cana-3242	254	17	's	's	PART
cana-3242	254	18	ability	ability	NOUN
cana-3242	254	19	to	to	PART
cana-3242	254	20	distinguish	distinguish	VERB
cana-3242	254	21	between	between	ADP
cana-3242	254	22	positive	positive	ADJ
cana-3242	254	23	and	and	CCONJ
cana-3242	254	24	negative	negative	ADJ
cana-3242	254	25	cases	case	NOUN
cana-3242	254	26	across	across	ADP
cana-3242	254	27	different	different	ADJ
cana-3242	254	28	classification	classification	NOUN
cana-3242	254	29	thresholds	threshold	NOUN
cana-3242	254	30	.	.	PUNCT
cana-3242	255	1	a	a	DET
cana-3242	255	2	higher	high	ADJ
cana-3242	255	3	auc	auc	NOUN
cana-3242	255	4	-	-	PUNCT
cana-3242	255	5	roc	roc	NOUN
cana-3242	255	6	indicated	indicate	VERB
cana-3242	255	7	better	well	ADJ
cana-3242	255	8	discriminatory	discriminatory	ADJ
cana-3242	255	9	power	power	NOUN
cana-3242	255	10	,	,	PUNCT
cana-3242	255	11	ensuring	ensure	VERB
cana-3242	255	12	that	that	SCONJ
cana-3242	255	13	the	the	DET
cana-3242	255	14	model	model	NOUN
cana-3242	255	15	could	could	AUX
cana-3242	255	16	effectively	effectively	ADV
cana-3242	255	17	separate	separate	VERB
cana-3242	255	18	patients	patient	NOUN
cana-3242	255	19	with	with	ADP
cana-3242	255	20	and	and	CCONJ
cana-3242	255	21	without	without	ADP
cana-3242	255	22	blood	blood	NOUN
cana-3242	255	23	cancer	cancer	NOUN
cana-3242	255	24	.	.	PUNCT
cana-3242	256	1	metrics	metric	NOUN
cana-3242	256	2	for	for	ADP
cana-3242	256	3	interpretability	interpretability	NOUN
cana-3242	256	4	:	:	PUNCT
cana-3242	256	5	to	to	PART
cana-3242	256	6	evaluate	evaluate	VERB
cana-3242	256	7	the	the	DET
cana-3242	256	8	interpretability	interpretability	NOUN
cana-3242	256	9	of	of	ADP
cana-3242	256	10	the	the	DET
cana-3242	256	11	framework	framework	NOUN
cana-3242	256	12	,	,	PUNCT
cana-3242	256	13	the	the	DET
cana-3242	256	14	stability	stability	NOUN
cana-3242	256	15	of	of	ADP
cana-3242	256	16	feature	feature	NOUN
cana-3242	256	17	importance	importance	NOUN
cana-3242	256	18	was	be	AUX
cana-3242	256	19	assessed	assess	VERB
cana-3242	256	20	.	.	PUNCT
cana-3242	257	1	this	this	DET
cana-3242	257	2	metric	metric	ADJ
cana-3242	257	3	measured	measure	VERB
cana-3242	257	4	how	how	SCONJ
cana-3242	257	5	consistently	consistently	ADV
cana-3242	257	6	the	the	DET
cana-3242	257	7	model	model	NOUN
cana-3242	257	8	identified	identify	VERB
cana-3242	257	9	key	key	ADJ
cana-3242	257	10	features	feature	NOUN
cana-3242	257	11	,	,	PUNCT
cana-3242	257	12	such	such	ADJ
cana-3242	257	13	as	as	ADP
cana-3242	257	14	specific	specific	ADJ
cana-3242	257	15	symptoms	symptom	NOUN
cana-3242	257	16	,	,	PUNCT
cana-3242	257	17	imaging	imaging	NOUN
cana-3242	257	18	regions	region	NOUN
cana-3242	257	19	,	,	PUNCT
cana-3242	257	20	or	or	CCONJ
cana-3242	257	21	lab	lab	NOUN
cana-3242	257	22	markers	marker	NOUN
cana-3242	257	23	,	,	PUNCT
cana-3242	257	24	across	across	ADP
cana-3242	257	25	different	different	ADJ
cana-3242	257	26	samples	sample	NOUN
cana-3242	257	27	and	and	CCONJ
cana-3242	257	28	model	model	NOUN
cana-3242	257	29	iterations	iteration	NOUN
cana-3242	257	30	.	.	PUNCT
cana-3242	258	1	shap	shap	PROPN
cana-3242	258	2	values	value	NOUN
cana-3242	258	3	were	be	AUX
cana-3242	258	4	calculated	calculate	VERB
cana-3242	258	5	for	for	ADP
cana-3242	258	6	all	all	DET
cana-3242	258	7	input	input	NOUN
cana-3242	258	8	features	feature	NOUN
cana-3242	258	9	to	to	PART
cana-3242	258	10	quantify	quantify	VERB
cana-3242	258	11	their	their	PRON
cana-3242	258	12	contribution	contribution	NOUN
cana-3242	258	13	to	to	ADP
cana-3242	258	14	the	the	DET
cana-3242	258	15	predictions	prediction	NOUN
cana-3242	258	16	.	.	PUNCT
cana-3242	259	1	the	the	DET
cana-3242	259	2	stability	stability	NOUN
cana-3242	259	3	of	of	ADP
cana-3242	259	4	these	these	DET
cana-3242	259	5	shap	shap	PROPN
cana-3242	259	6	values	value	NOUN
cana-3242	259	7	was	be	AUX
cana-3242	259	8	analyzed	analyze	VERB
cana-3242	259	9	across	across	ADP
cana-3242	259	10	subsets	subset	NOUN
cana-3242	259	11	of	of	ADP
cana-3242	259	12	the	the	DET
cana-3242	259	13	dataset	dataset	NOUN
cana-3242	259	14	,	,	PUNCT
cana-3242	259	15	ensuring	ensure	VERB
cana-3242	259	16	that	that	SCONJ
cana-3242	259	17	the	the	DET
cana-3242	259	18	model	model	NOUN
cana-3242	259	19	consistently	consistently	ADV
cana-3242	259	20	prioritized	prioritize	VERB
cana-3242	259	21	clinically	clinically	ADV
cana-3242	259	22	relevant	relevant	ADJ
cana-3242	259	23	features	feature	NOUN
cana-3242	259	24	.	.	PUNCT
cana-3242	260	1	stability	stability	NOUN
cana-3242	260	2	was	be	AUX
cana-3242	260	3	quantified	quantify	VERB
cana-3242	260	4	by	by	ADP
cana-3242	260	5	calculating	calculate	VERB
cana-3242	260	6	the	the	DET
cana-3242	260	7	variance	variance	NOUN
cana-3242	260	8	of	of	ADP
cana-3242	260	9	feature	feature	NOUN
cana-3242	260	10	importance	importance	NOUN
cana-3242	260	11	scores	score	NOUN
cana-3242	260	12	across	across	ADP
cana-3242	260	13	different	different	ADJ
cana-3242	260	14	runs	run	NOUN
cana-3242	260	15	.	.	PUNCT
cana-3242	261	1	lower	low	ADJ
cana-3242	261	2	variance	variance	NOUN
cana-3242	261	3	indicated	indicate	VERB
cana-3242	261	4	that	that	SCONJ
cana-3242	261	5	the	the	DET
cana-3242	261	6	model	model	NOUN
cana-3242	261	7	’s	’s	PART
cana-3242	261	8	interpretability	interpretability	NOUN
cana-3242	261	9	outputs	output	NOUN
cana-3242	261	10	were	be	AUX
cana-3242	261	11	robust	robust	ADJ
cana-3242	261	12	and	and	CCONJ
cana-3242	261	13	not	not	PART
cana-3242	261	14	significantly	significantly	ADV
cana-3242	261	15	affected	affect	VERB
cana-3242	261	16	by	by	ADP
cana-3242	261	17	minor	minor	ADJ
cana-3242	261	18	changes	change	NOUN
cana-3242	261	19	in	in	ADP
cana-3242	261	20	data	datum	NOUN
cana-3242	261	21	or	or	CCONJ
cana-3242	261	22	initialization	initialization	NOUN
cana-3242	261	23	.	.	PUNCT
cana-3242	262	1	this	this	DET
cana-3242	262	2	evaluation	evaluation	NOUN
cana-3242	262	3	ensured	ensure	VERB
cana-3242	262	4	that	that	SCONJ
cana-3242	262	5	the	the	DET
cana-3242	262	6	model	model	NOUN
cana-3242	262	7	's	's	PART
cana-3242	262	8	explanations	explanation	NOUN
cana-3242	262	9	were	be	AUX
cana-3242	262	10	reliable	reliable	ADJ
cana-3242	262	11	and	and	CCONJ
cana-3242	262	12	aligned	align	VERB
cana-3242	262	13	with	with	ADP
cana-3242	262	14	clinical	clinical	ADJ
cana-3242	262	15	expectations	expectation	NOUN
cana-3242	262	16	,	,	PUNCT
cana-3242	262	17	fostering	foster	VERB
cana-3242	262	18	trust	trust	NOUN
cana-3242	262	19	in	in	ADP
cana-3242	262	20	its	its	PRON
cana-3242	262	21	predictions	prediction	NOUN
cana-3242	262	22	.	.	PUNCT
cana-3242	263	1	these	these	DET
cana-3242	263	2	evaluation	evaluation	NOUN
cana-3242	263	3	metrics	metric	NOUN
cana-3242	263	4	provided	provide	VERB
cana-3242	263	5	a	a	DET
cana-3242	263	6	comprehensive	comprehensive	ADJ
cana-3242	263	7	assessment	assessment	NOUN
cana-3242	263	8	of	of	ADP
cana-3242	263	9	both	both	CCONJ
cana-3242	263	10	the	the	DET
cana-3242	263	11	predictive	predictive	ADJ
cana-3242	263	12	performance	performance	NOUN
cana-3242	263	13	and	and	CCONJ
cana-3242	263	14	the	the	DET
cana-3242	263	15	interpretability	interpretability	NOUN
cana-3242	263	16	of	of	ADP
cana-3242	263	17	the	the	DET
cana-3242	263	18	framework	framework	NOUN
cana-3242	263	19	,	,	PUNCT
cana-3242	263	20	ensuring	ensure	VERB
cana-3242	263	21	its	its	PRON
cana-3242	263	22	practical	practical	ADJ
cana-3242	263	23	applicability	applicability	NOUN
cana-3242	263	24	and	and	CCONJ
cana-3242	263	25	reliability	reliability	NOUN
cana-3242	263	26	in	in	ADP
cana-3242	263	27	a	a	DET
cana-3242	263	28	realworld	realworld	PROPN
cana-3242	263	29	healthcare	healthcare	PROPN
cana-3242	263	30	context	context	NOUN
cana-3242	263	31	.	.	PUNCT
cana-3242	264	1	3.4	3.4	NUM
cana-3242	264	2	results	result	NOUN
cana-3242	264	3	and	and	CCONJ
cana-3242	264	4	discussion	discussion	NOUN
cana-3242	264	5	this	this	DET
cana-3242	264	6	section	section	NOUN
cana-3242	264	7	presents	present	VERB
cana-3242	264	8	the	the	DET
cana-3242	264	9	results	result	NOUN
cana-3242	264	10	obtained	obtain	VERB
cana-3242	264	11	from	from	ADP
cana-3242	264	12	evaluating	evaluate	VERB
cana-3242	264	13	the	the	DET
cana-3242	264	14	proposed	propose	VERB
cana-3242	264	15	framework	framework	NOUN
cana-3242	264	16	,	,	PUNCT
cana-3242	264	17	multimodal	multimodal	NOUN
cana-3242	264	18	and	and	CCONJ
cana-3242	264	19	interpretable	interpretable	ADJ
cana-3242	264	20	deep	deep	ADJ
cana-3242	264	21	learning	learning	NOUN
cana-3242	264	22	framework	framework	NOUN
cana-3242	264	23	(	(	PUNCT
cana-3242	264	24	midlf	midlf	PROPN
cana-3242	264	25	)	)	PUNCT
cana-3242	264	26	,	,	PUNCT
cana-3242	264	27	compared	compare	VERB
cana-3242	264	28	against	against	ADP
cana-3242	264	29	cell	cell	NOUN
cana-3242	264	30	scoring	score	VERB
cana-3242	264	31	neural	neural	ADJ
cana-3242	264	32	network	network	NOUN
cana-3242	264	33	(	(	PUNCT
cana-3242	264	34	csnn	csnn	NOUN
cana-3242	264	35	)	)	PUNCT
cana-3242	265	1	[	[	X
cana-3242	265	2	15	15	NUM
cana-3242	265	3	]	]	PUNCT
cana-3242	265	4	and	and	CCONJ
cana-3242	265	5	three	three	NUM
cana-3242	265	6	-	-	PUNCT
cana-3242	265	7	stage	stage	NOUN
cana-3242	265	8	feature	feature	NOUN
cana-3242	265	9	selection	selection	NOUN
cana-3242	265	10	and	and	CCONJ
cana-3242	265	11	twice	twice	ADV
cana-3242	265	12	-	-	PUNCT
cana-3242	265	13	competitional	competitional	ADJ
cana-3242	265	14	ensemble	ensemble	ADJ
cana-3242	265	15	learning	learning	NOUN
cana-3242	265	16	method	method	NOUN
cana-3242	265	17	(	(	PUNCT
cana-3242	265	18	tsfs	tsfs	NOUN
cana-3242	265	19	-	-	PUNCT
cana-3242	265	20	tcem	tcem	NOUN
cana-3242	265	21	)	)	PUNCT
cana-3242	266	1	[	[	X
cana-3242	266	2	10	10	NUM
cana-3242	266	3	]	]	PUNCT
cana-3242	266	4	.	.	PUNCT
cana-3242	267	1	midlf	midlf	NOUN
cana-3242	267	2	demonstrated	demonstrate	VERB
cana-3242	267	3	superior	superior	ADJ
cana-3242	267	4	performance	performance	NOUN
cana-3242	267	5	across	across	ADP
cana-3242	267	6	all	all	DET
cana-3242	267	7	metrics	metric	NOUN
cana-3242	267	8	while	while	SCONJ
cana-3242	267	9	offering	offer	VERB
cana-3242	267	10	enhanced	enhance	VERB
cana-3242	267	11	interpretability	interpretability	NOUN
cana-3242	267	12	and	and	CCONJ
cana-3242	267	13	scalability	scalability	NOUN
cana-3242	267	14	.	.	PUNCT
cana-3242	268	1	5.1	5.1	NUM
cana-3242	268	2	performance	performance	NOUN
cana-3242	268	3	evaluation	evaluation	NOUN
cana-3242	268	4	the	the	DET
cana-3242	268	5	performance	performance	NOUN
cana-3242	268	6	of	of	ADP
cana-3242	268	7	midlf	midlf	NOUN
cana-3242	268	8	,	,	PUNCT
cana-3242	268	9	csnn	csnn	NOUN
cana-3242	268	10	,	,	PUNCT
cana-3242	268	11	and	and	CCONJ
cana-3242	268	12	tsfs	tsfs	NOUN
cana-3242	268	13	-	-	PUNCT
cana-3242	268	14	tcem	tcem	NOUN
cana-3242	268	15	was	be	AUX
cana-3242	268	16	evaluated	evaluate	VERB
cana-3242	268	17	using	use	VERB
cana-3242	268	18	accuracy	accuracy	NOUN
cana-3242	268	19	,	,	PUNCT
cana-3242	268	20	precision	precision	NOUN
cana-3242	268	21	,	,	PUNCT
cana-3242	268	22	recall	recall	NOUN
cana-3242	268	23	,	,	PUNCT
cana-3242	268	24	f1	f1	NOUN
cana-3242	268	25	-	-	PUNCT
cana-3242	268	26	score	score	NOUN
cana-3242	268	27	,	,	PUNCT
cana-3242	268	28	and	and	CCONJ
cana-3242	268	29	auc	auc	NOUN
cana-3242	268	30	-	-	PUNCT
cana-3242	268	31	roc	roc	NOUN
cana-3242	268	32	.	.	PUNCT
cana-3242	269	1	the	the	DET
cana-3242	269	2	results	result	NOUN
cana-3242	269	3	are	be	AUX
cana-3242	269	4	summarized	summarize	VERB
cana-3242	269	5	in	in	ADP
cana-3242	269	6	table	table	NOUN
cana-3242	269	7	1	1	NUM
cana-3242	269	8	.	.	PUNCT
cana-3242	270	1	communications	communication	NOUN
cana-3242	270	2	on	on	ADP
cana-3242	270	3	applied	apply	VERB
cana-3242	270	4	nonlinear	nonlinear	ADJ
cana-3242	270	5	analysis	analysis	NOUN
cana-3242	270	6	issn	issn	NOUN
cana-3242	270	7	:	:	PUNCT
cana-3242	270	8	1074	1074	NUM
cana-3242	270	9	-	-	PUNCT
cana-3242	270	10	133x	133x	NUM
cana-3242	270	11	vol	vol	NOUN
cana-3242	270	12	32	32	NUM
cana-3242	270	13	no	no	NOUN
cana-3242	270	14	.	.	PUNCT
cana-3242	271	1	6s	6s	NUM
cana-3242	271	2	(	(	PUNCT
cana-3242	271	3	2025	2025	NUM
cana-3242	271	4	)	)	PUNCT
cana-3242	271	5	50	50	NUM
cana-3242	271	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	271	7	table	table	NOUN
cana-3242	271	8	1	1	NUM
cana-3242	271	9	:	:	PUNCT
cana-3242	271	10	comparative	comparative	ADJ
cana-3242	271	11	performance	performance	NOUN
cana-3242	271	12	metrics	metric	NOUN
cana-3242	271	13	model	model	NOUN
cana-3242	271	14	accuracy	accuracy	NOUN
cana-3242	271	15	(	(	PUNCT
cana-3242	271	16	%	%	INTJ
cana-3242	271	17	)	)	PUNCT
cana-3242	271	18	precision	precision	NOUN
cana-3242	271	19	(	(	PUNCT
cana-3242	271	20	%	%	INTJ
cana-3242	271	21	)	)	PUNCT
cana-3242	271	22	recall	recall	NOUN
cana-3242	271	23	(	(	PUNCT
cana-3242	271	24	%	%	NOUN
cana-3242	271	25	)	)	PUNCT
cana-3242	271	26	f1	f1	NOUN
cana-3242	271	27	-	-	PUNCT
cana-3242	271	28	score	score	NOUN
cana-3242	271	29	(	(	PUNCT
cana-3242	271	30	%	%	INTJ
cana-3242	271	31	)	)	PUNCT
cana-3242	271	32	auc	auc	NOUN
cana-3242	271	33	-	-	PUNCT
cana-3242	271	34	roc	roc	NOUN
cana-3242	271	35	(	(	PUNCT
cana-3242	271	36	%	%	INTJ
cana-3242	271	37	)	)	PUNCT
cana-3242	271	38	midlf	midlf	VERB
cana-3242	271	39	94.8	94.8	NUM
cana-3242	271	40	93.5	93.5	NUM
cana-3242	271	41	95.2	95.2	NUM
cana-3242	271	42	94.3	94.3	NUM
cana-3242	271	43	97.1	97.1	NUM
cana-3242	271	44	csnn	csnn	ADJ
cana-3242	271	45	91.6	91.6	NUM
cana-3242	271	46	90.2	90.2	NUM
cana-3242	271	47	91.8	91.8	NUM
cana-3242	271	48	90.9	90.9	NUM
cana-3242	271	49	94.5	94.5	NUM
cana-3242	271	50	tsfs	tsfs	NOUN
cana-3242	271	51	-	-	PUNCT
cana-3242	271	52	tcem	tcem	NOUN
cana-3242	271	53	87.2	87.2	NUM
cana-3242	271	54	86.3	86.3	NUM
cana-3242	271	55	86.7	86.7	NUM
cana-3242	271	56	86.5	86.5	NUM
cana-3242	271	57	91.3	91.3	NUM
cana-3242	271	58	table	table	NOUN
cana-3242	271	59	1	1	NUM
cana-3242	271	60	highlights	highlight	NOUN
cana-3242	271	61	the	the	DET
cana-3242	271	62	superior	superior	ADJ
cana-3242	271	63	performance	performance	NOUN
cana-3242	271	64	of	of	ADP
cana-3242	271	65	midlf	midlf	NOUN
cana-3242	271	66	across	across	ADP
cana-3242	271	67	all	all	DET
cana-3242	271	68	metrics	metric	NOUN
cana-3242	271	69	,	,	PUNCT
cana-3242	271	70	demonstrating	demonstrate	VERB
cana-3242	271	71	its	its	PRON
cana-3242	271	72	effectiveness	effectiveness	NOUN
cana-3242	271	73	in	in	ADP
cana-3242	271	74	identifying	identify	VERB
cana-3242	271	75	blood	blood	NOUN
cana-3242	271	76	cancer	cancer	NOUN
cana-3242	271	77	cases	case	NOUN
cana-3242	271	78	.	.	PUNCT
cana-3242	272	1	csnn	csnn	ADJ
cana-3242	272	2	outperforms	outperform	NOUN
cana-3242	272	3	tsfs	tsfs	NOUN
cana-3242	272	4	-	-	PUNCT
cana-3242	272	5	tcem	tcem	NOUN
cana-3242	272	6	in	in	ADP
cana-3242	272	7	accuracy	accuracy	NOUN
cana-3242	272	8	and	and	CCONJ
cana-3242	272	9	other	other	ADJ
cana-3242	272	10	metrics	metric	NOUN
cana-3242	272	11	but	but	CCONJ
cana-3242	272	12	falls	fall	VERB
cana-3242	272	13	short	short	ADJ
cana-3242	272	14	of	of	ADP
cana-3242	272	15	midlf	midlf	PROPN
cana-3242	272	16	.	.	PUNCT
cana-3242	273	1	figure	figure	NOUN
cana-3242	273	2	2	2	NUM
cana-3242	273	3	:	:	PUNCT
cana-3242	273	4	comparative	comparative	ADJ
cana-3242	273	5	roc	roc	PROPN
cana-3242	273	6	curves	curve	NOUN
cana-3242	273	7	for	for	ADP
cana-3242	273	8	midlf	midlf	NOUN
cana-3242	273	9	,	,	PUNCT
cana-3242	273	10	csnn	csnn	NOUN
cana-3242	273	11	,	,	PUNCT
cana-3242	273	12	and	and	CCONJ
cana-3242	273	13	tsfs	tsfs	NOUN
cana-3242	273	14	-	-	PUNCT
cana-3242	273	15	tcem	tcem	NOUN
cana-3242	273	16	the	the	DET
cana-3242	273	17	roc	roc	PROPN
cana-3242	273	18	curves	curve	NOUN
cana-3242	273	19	are	be	AUX
cana-3242	273	20	shown	show	VERB
cana-3242	273	21	in	in	ADP
cana-3242	273	22	figure	figure	NOUN
cana-3242	273	23	2	2	NUM
cana-3242	273	24	compare	compare	VERB
cana-3242	273	25	the	the	DET
cana-3242	273	26	true	true	ADJ
cana-3242	273	27	positive	positive	ADJ
cana-3242	273	28	rate	rate	NOUN
cana-3242	273	29	(	(	PUNCT
cana-3242	273	30	tpr	tpr	NOUN
cana-3242	273	31	)	)	PUNCT
cana-3242	273	32	and	and	CCONJ
cana-3242	273	33	false	false	ADJ
cana-3242	273	34	positive	positive	ADJ
cana-3242	273	35	rate	rate	NOUN
cana-3242	273	36	(	(	PUNCT
cana-3242	273	37	fpr	fpr	NOUN
cana-3242	273	38	)	)	PUNCT
cana-3242	273	39	for	for	ADP
cana-3242	273	40	the	the	DET
cana-3242	273	41	three	three	NUM
cana-3242	273	42	models	model	NOUN
cana-3242	273	43	across	across	ADP
cana-3242	273	44	various	various	ADJ
cana-3242	273	45	thresholds	threshold	NOUN
cana-3242	273	46	.	.	PUNCT
cana-3242	274	1	midlf	midlf	PROPN
cana-3242	274	2	consistently	consistently	ADV
cana-3242	274	3	achieves	achieve	VERB
cana-3242	274	4	a	a	DET
cana-3242	274	5	higher	high	ADJ
cana-3242	274	6	tpr	tpr	NOUN
cana-3242	274	7	at	at	ADP
cana-3242	274	8	all	all	DET
cana-3242	274	9	thresholds	threshold	NOUN
cana-3242	274	10	,	,	PUNCT
cana-3242	274	11	indicating	indicate	VERB
cana-3242	274	12	better	well	ADJ
cana-3242	274	13	capability	capability	NOUN
cana-3242	274	14	to	to	PART
cana-3242	274	15	distinguish	distinguish	VERB
cana-3242	274	16	between	between	ADP
cana-3242	274	17	positive	positive	ADJ
cana-3242	274	18	and	and	CCONJ
cana-3242	274	19	negative	negative	ADJ
cana-3242	274	20	cases	case	NOUN
cana-3242	274	21	.	.	PUNCT
cana-3242	275	1	csnn	csnn	NOUN
cana-3242	275	2	performs	perform	VERB
cana-3242	275	3	moderately	moderately	ADV
cana-3242	275	4	well	well	ADV
cana-3242	275	5	,	,	PUNCT
cana-3242	275	6	while	while	SCONJ
cana-3242	275	7	tsfs	tsfs	NOUN
cana-3242	275	8	-	-	PUNCT
cana-3242	275	9	tcem	tcem	NOUN
cana-3242	275	10	shows	show	VERB
cana-3242	275	11	a	a	DET
cana-3242	275	12	noticeable	noticeable	ADJ
cana-3242	275	13	gap	gap	NOUN
cana-3242	275	14	in	in	ADP
cana-3242	275	15	performance	performance	NOUN
cana-3242	275	16	.	.	PUNCT
cana-3242	276	1	midlf	midlf	PROPN
cana-3242	276	2	’s	’s	PART
cana-3242	276	3	auc	auc	ADJ
cana-3242	276	4	-	-	PUNCT
cana-3242	276	5	roc	roc	NOUN
cana-3242	276	6	value	value	NOUN
cana-3242	276	7	of	of	ADP
cana-3242	276	8	97.1	97.1	NUM
cana-3242	276	9	%	%	NOUN
cana-3242	276	10	demonstrates	demonstrate	VERB
cana-3242	276	11	its	its	PRON
cana-3242	276	12	superior	superior	ADJ
cana-3242	276	13	discriminatory	discriminatory	ADJ
cana-3242	276	14	power	power	NOUN
cana-3242	276	15	for	for	ADP
cana-3242	276	16	early	early	ADJ
cana-3242	276	17	detection	detection	NOUN
cana-3242	276	18	of	of	ADP
cana-3242	276	19	blood	blood	NOUN
cana-3242	276	20	cancers	cancer	NOUN
cana-3242	276	21	.	.	PUNCT
cana-3242	277	1	scalability	scalability	NOUN
cana-3242	277	2	was	be	AUX
cana-3242	277	3	tested	test	VERB
cana-3242	277	4	using	use	VERB
cana-3242	277	5	datasets	dataset	NOUN
cana-3242	277	6	of	of	ADP
cana-3242	277	7	varying	vary	VERB
cana-3242	277	8	sizes	size	NOUN
cana-3242	277	9	,	,	PUNCT
cana-3242	277	10	where	where	SCONJ
cana-3242	277	11	midlf	midlf	NOUN
cana-3242	277	12	maintained	maintain	VERB
cana-3242	277	13	consistent	consistent	ADJ
cana-3242	277	14	performance	performance	NOUN
cana-3242	277	15	due	due	ADP
cana-3242	277	16	to	to	ADP
cana-3242	277	17	efficient	efficient	ADJ
cana-3242	277	18	data	datum	NOUN
cana-3242	277	19	preprocessing	preprocessing	NOUN
cana-3242	277	20	and	and	CCONJ
cana-3242	277	21	gpu	gpu	NOUN
cana-3242	277	22	-	-	PUNCT
cana-3242	277	23	accelerated	accelerated	ADJ
cana-3242	277	24	architecture	architecture	NOUN
cana-3242	277	25	.	.	PUNCT
cana-3242	278	1	this	this	DET
cana-3242	278	2	scalability	scalability	NOUN
cana-3242	278	3	makes	make	VERB
cana-3242	278	4	it	it	PRON
cana-3242	278	5	suitable	suitable	ADJ
cana-3242	278	6	for	for	ADP
cana-3242	278	7	real	real	ADJ
cana-3242	278	8	-	-	PUNCT
cana-3242	278	9	world	world	NOUN
cana-3242	278	10	clinical	clinical	ADJ
cana-3242	278	11	applications	application	NOUN
cana-3242	278	12	involving	involve	VERB
cana-3242	278	13	large	large	ADJ
cana-3242	278	14	datasets	dataset	NOUN
cana-3242	278	15	.	.	PUNCT
cana-3242	279	1	5.2	5.2	NUM
cana-3242	279	2	interpretability	interpretability	NOUN
cana-3242	279	3	insights	insight	VERB
cana-3242	279	4	interpretability	interpretability	NOUN
cana-3242	279	5	of	of	ADP
cana-3242	279	6	the	the	DET
cana-3242	279	7	framework	framework	NOUN
cana-3242	279	8	was	be	AUX
cana-3242	279	9	validated	validate	VERB
cana-3242	279	10	using	use	VERB
cana-3242	279	11	shap	shap	PROPN
cana-3242	279	12	and	and	CCONJ
cana-3242	279	13	lrp	lrp	PROPN
cana-3242	279	14	outputs	output	NOUN
cana-3242	279	15	,	,	PUNCT
cana-3242	279	16	reviewed	review	VERB
cana-3242	279	17	by	by	ADP
cana-3242	279	18	clinicians	clinician	NOUN
cana-3242	279	19	.	.	PUNCT
cana-3242	280	1	shap	shap	PROPN
cana-3242	280	2	provided	provide	VERB
cana-3242	280	3	global	global	ADJ
cana-3242	280	4	and	and	CCONJ
cana-3242	280	5	local	local	ADJ
cana-3242	280	6	feature	feature	NOUN
cana-3242	280	7	importance	importance	NOUN
cana-3242	280	8	,	,	PUNCT
cana-3242	280	9	identifying	identify	VERB
cana-3242	280	10	key	key	ADJ
cana-3242	280	11	contributors	contributor	NOUN
cana-3242	280	12	like	like	ADP
cana-3242	280	13	patient	patient	NOUN
cana-3242	280	14	symptoms	symptom	NOUN
cana-3242	280	15	,	,	PUNCT
cana-3242	280	16	lab	lab	NOUN
cana-3242	280	17	markers	marker	NOUN
cana-3242	280	18	,	,	PUNCT
cana-3242	280	19	and	and	CCONJ
cana-3242	280	20	imaging	imaging	NOUN
cana-3242	280	21	regions	region	NOUN
cana-3242	280	22	.	.	PUNCT
cana-3242	281	1	lrp	lrp	PROPN
cana-3242	281	2	generated	generate	VERB
cana-3242	281	3	heatmaps	heatmap	NOUN
cana-3242	281	4	to	to	PART
cana-3242	281	5	visualize	visualize	VERB
cana-3242	281	6	the	the	DET
cana-3242	281	7	areas	area	NOUN
cana-3242	281	8	in	in	ADP
cana-3242	281	9	imaging	image	VERB
cana-3242	281	10	data	datum	NOUN
cana-3242	281	11	most	most	ADV
cana-3242	281	12	relevant	relevant	ADJ
cana-3242	281	13	to	to	ADP
cana-3242	281	14	predictions	prediction	NOUN
cana-3242	281	15	.	.	PUNCT
cana-3242	282	1	clinicians	clinician	NOUN
cana-3242	282	2	confirmed	confirm	VERB
cana-3242	282	3	these	these	DET
cana-3242	282	4	explanations	explanation	NOUN
cana-3242	282	5	aligned	align	VERB
cana-3242	282	6	with	with	ADP
cana-3242	282	7	clinical	clinical	ADJ
cana-3242	282	8	practices	practice	NOUN
cana-3242	282	9	,	,	PUNCT
cana-3242	282	10	enhancing	enhance	VERB
cana-3242	282	11	trust	trust	NOUN
cana-3242	282	12	in	in	ADP
cana-3242	282	13	the	the	DET
cana-3242	282	14	model	model	NOUN
cana-3242	282	15	's	's	PART
cana-3242	282	16	predictions	prediction	NOUN
cana-3242	282	17	.	.	PUNCT
cana-3242	283	1	table	table	NOUN
cana-3242	283	2	2	2	NUM
cana-3242	283	3	:	:	PUNCT
cana-3242	283	4	key	key	ADJ
cana-3242	283	5	features	feature	NOUN
cana-3242	283	6	identified	identify	VERB
cana-3242	283	7	by	by	ADP
cana-3242	283	8	midlf	midlf	NOUN
cana-3242	283	9	data	datum	NOUN
cana-3242	283	10	type	type	NOUN
cana-3242	283	11	feature	feature	NOUN
cana-3242	283	12	contribution	contribution	NOUN
cana-3242	283	13	description	description	NOUN
cana-3242	283	14	symptom	symptom	NOUN
cana-3242	283	15	data	data	PROPN
cana-3242	283	16	persistent	persistent	ADJ
cana-3242	283	17	fatigue	fatigue	NOUN
cana-3242	283	18	frequently	frequently	ADV
cana-3242	283	19	observed	observe	VERB
cana-3242	283	20	in	in	ADP
cana-3242	283	21	early	early	ADJ
cana-3242	283	22	-	-	PUNCT
cana-3242	283	23	stage	stage	NOUN
cana-3242	283	24	blood	blood	NOUN
cana-3242	283	25	cancer	cancer	NOUN
cana-3242	283	26	.	.	PUNCT
cana-3242	284	1	laboratory	laboratory	NOUN
cana-3242	284	2	data	datum	NOUN
cana-3242	284	3	elevated	elevate	VERB
cana-3242	284	4	wbc	wbc	PROPN
cana-3242	284	5	count	count	VERB
cana-3242	284	6	strong	strong	ADJ
cana-3242	284	7	indicator	indicator	NOUN
cana-3242	284	8	of	of	ADP
cana-3242	284	9	abnormal	abnormal	ADJ
cana-3242	284	10	hematological	hematological	ADJ
cana-3242	284	11	conditions	condition	NOUN
cana-3242	284	12	.	.	PUNCT
cana-3242	285	1	communications	communication	NOUN
cana-3242	285	2	on	on	ADP
cana-3242	285	3	applied	apply	VERB
cana-3242	285	4	nonlinear	nonlinear	ADJ
cana-3242	285	5	analysis	analysis	NOUN
cana-3242	285	6	issn	issn	NOUN
cana-3242	285	7	:	:	PUNCT
cana-3242	285	8	1074	1074	NUM
cana-3242	285	9	-	-	PUNCT
cana-3242	285	10	133x	133x	NUM
cana-3242	285	11	vol	vol	NOUN
cana-3242	285	12	32	32	NUM
cana-3242	285	13	no	no	NOUN
cana-3242	285	14	.	.	PUNCT
cana-3242	286	1	6s	6s	NUM
cana-3242	286	2	(	(	PUNCT
cana-3242	286	3	2025	2025	NUM
cana-3242	286	4	)	)	PUNCT
cana-3242	286	5	51	51	NUM
cana-3242	286	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	286	7	imaging	image	VERB
cana-3242	286	8	data	datum	NOUN
cana-3242	286	9	abnormal	abnormal	ADJ
cana-3242	286	10	blood	blood	NOUN
cana-3242	286	11	clusters	cluster	NOUN
cana-3242	286	12	significant	significant	ADJ
cana-3242	286	13	in	in	ADP
cana-3242	286	14	identifying	identify	VERB
cana-3242	286	15	morphological	morphological	ADJ
cana-3242	286	16	abnormalities	abnormality	NOUN
cana-3242	286	17	.	.	PUNCT
cana-3242	287	1	table	table	NOUN
cana-3242	287	2	2	2	NUM
cana-3242	287	3	lists	list	NOUN
cana-3242	287	4	key	key	ADJ
cana-3242	287	5	features	feature	NOUN
cana-3242	287	6	contributing	contribute	VERB
cana-3242	287	7	to	to	ADP
cana-3242	287	8	predictions	prediction	NOUN
cana-3242	287	9	and	and	CCONJ
cana-3242	287	10	their	their	PRON
cana-3242	287	11	clinical	clinical	ADJ
cana-3242	287	12	relevance	relevance	NOUN
cana-3242	287	13	,	,	PUNCT
cana-3242	287	14	as	as	SCONJ
cana-3242	287	15	identified	identify	VERB
cana-3242	287	16	by	by	ADP
cana-3242	287	17	shap	shap	PROPN
cana-3242	287	18	and	and	CCONJ
cana-3242	287	19	lrp	lrp	PROPN
cana-3242	287	20	.	.	PUNCT
cana-3242	288	1	figure	figure	VERB
cana-3242	288	2	3	3	NUM
cana-3242	288	3	:	:	PUNCT
cana-3242	288	4	subtype	subtype	NOUN
cana-3242	288	5	classification	classification	NOUN
cana-3242	288	6	accuracy	accuracy	NOUN
cana-3242	288	7	heatmap	heatmap	NOUN
cana-3242	288	8	the	the	DET
cana-3242	288	9	heatmap	heatmap	NOUN
cana-3242	288	10	highlights	highlight	VERB
cana-3242	288	11	the	the	DET
cana-3242	288	12	classification	classification	NOUN
cana-3242	288	13	in	in	ADP
cana-3242	288	14	figure	figure	NOUN
cana-3242	288	15	3	3	NUM
cana-3242	288	16	illustrates	illustrate	VERB
cana-3242	288	17	accuracy	accuracy	NOUN
cana-3242	288	18	of	of	ADP
cana-3242	288	19	midlf	midlf	NOUN
cana-3242	288	20	,	,	PUNCT
cana-3242	288	21	csnn	csnn	NOUN
cana-3242	288	22	,	,	PUNCT
cana-3242	288	23	and	and	CCONJ
cana-3242	288	24	tsfstcem	tsfstcem	VERB
cana-3242	288	25	across	across	ADP
cana-3242	288	26	four	four	NUM
cana-3242	288	27	blood	blood	NOUN
cana-3242	288	28	cancer	cancer	NOUN
cana-3242	288	29	subtypes	subtype	NOUN
cana-3242	288	30	:	:	PUNCT
cana-3242	288	31	subtype	subtype	VERB
cana-3242	288	32	a	a	DET
cana-3242	288	33	,	,	PUNCT
cana-3242	288	34	subtype	subtype	NOUN
cana-3242	288	35	b	b	NOUN
cana-3242	288	36	,	,	PUNCT
cana-3242	288	37	subtype	subtype	NOUN
cana-3242	288	38	c	c	NOUN
cana-3242	288	39	,	,	PUNCT
cana-3242	288	40	and	and	CCONJ
cana-3242	288	41	subtype	subtype	VERB
cana-3242	288	42	d.	d.	PROPN
cana-3242	288	43	midlf	midlf	PROPN
cana-3242	288	44	consistently	consistently	ADV
cana-3242	288	45	achieves	achieve	VERB
cana-3242	288	46	over	over	ADP
cana-3242	288	47	90	90	NUM
cana-3242	288	48	%	%	NOUN
cana-3242	288	49	accuracy	accuracy	NOUN
cana-3242	288	50	for	for	ADP
cana-3242	288	51	all	all	DET
cana-3242	288	52	subtypes	subtype	NOUN
cana-3242	288	53	,	,	PUNCT
cana-3242	288	54	showing	show	VERB
cana-3242	288	55	robust	robust	ADJ
cana-3242	288	56	generalization	generalization	NOUN
cana-3242	288	57	to	to	PART
cana-3242	288	58	diverse	diverse	ADJ
cana-3242	288	59	cases	case	NOUN
cana-3242	288	60	.	.	PUNCT
cana-3242	289	1	csnn	csnn	NOUN
cana-3242	289	2	demonstrates	demonstrate	VERB
cana-3242	289	3	moderate	moderate	ADJ
cana-3242	289	4	accuracy	accuracy	NOUN
cana-3242	289	5	,	,	PUNCT
cana-3242	289	6	while	while	SCONJ
cana-3242	289	7	tsfs	tsfs	NOUN
cana-3242	289	8	-	-	PUNCT
cana-3242	289	9	tcem	tcem	NOUN
cana-3242	289	10	struggles	struggle	NOUN
cana-3242	289	11	with	with	ADP
cana-3242	289	12	rare	rare	ADJ
cana-3242	289	13	subtypes	subtype	NOUN
cana-3242	289	14	.	.	PUNCT
cana-3242	290	1	the	the	DET
cana-3242	290	2	darker	dark	ADJ
cana-3242	290	3	color	color	NOUN
cana-3242	290	4	intensities	intensity	NOUN
cana-3242	290	5	for	for	ADP
cana-3242	290	6	midlf	midlf	NOUN
cana-3242	290	7	confirm	confirm	VERB
cana-3242	290	8	its	its	PRON
cana-3242	290	9	dominance	dominance	NOUN
cana-3242	290	10	in	in	ADP
cana-3242	290	11	subtype	subtype	NOUN
cana-3242	290	12	-	-	PUNCT
cana-3242	290	13	specific	specific	ADJ
cana-3242	290	14	performance	performance	NOUN
cana-3242	290	15	.	.	PUNCT
cana-3242	291	1	figure	figure	VERB
cana-3242	291	2	4	4	NUM
cana-3242	291	3	:	:	PUNCT
cana-3242	291	4	comparative	comparative	ADJ
cana-3242	291	5	performance	performance	NOUN
cana-3242	291	6	across	across	ADP
cana-3242	291	7	metrics	metric	NOUN
cana-3242	291	8	the	the	DET
cana-3242	291	9	figure	figure	NOUN
cana-3242	291	10	4	4	NUM
cana-3242	291	11	shows	show	NOUN
cana-3242	291	12	bar	bar	NOUN
cana-3242	291	13	chart	chart	NOUN
cana-3242	291	14	compares	compare	VERB
cana-3242	291	15	the	the	DET
cana-3242	291	16	models	model	NOUN
cana-3242	291	17	on	on	ADP
cana-3242	291	18	five	five	NUM
cana-3242	291	19	key	key	ADJ
cana-3242	291	20	metrics	metric	NOUN
cana-3242	291	21	:	:	PUNCT
cana-3242	292	1	accuracy	accuracy	NOUN
cana-3242	292	2	,	,	PUNCT
cana-3242	292	3	precision	precision	NOUN
cana-3242	292	4	,	,	PUNCT
cana-3242	292	5	recall	recall	NOUN
cana-3242	292	6	,	,	PUNCT
cana-3242	292	7	f1score	f1score	NOUN
cana-3242	292	8	,	,	PUNCT
cana-3242	292	9	and	and	CCONJ
cana-3242	292	10	auc	auc	NOUN
cana-3242	292	11	-	-	PUNCT
cana-3242	292	12	roc	roc	NOUN
cana-3242	292	13	.	.	PUNCT
cana-3242	292	14	midlf	midlf	PROPN
cana-3242	292	15	achieves	achieve	VERB
cana-3242	292	16	the	the	DET
cana-3242	292	17	highest	high	ADJ
cana-3242	292	18	values	value	NOUN
cana-3242	292	19	across	across	ADP
cana-3242	292	20	all	all	DET
cana-3242	292	21	metrics	metric	NOUN
cana-3242	292	22	,	,	PUNCT
cana-3242	292	23	reflecting	reflect	VERB
cana-3242	292	24	its	its	PRON
cana-3242	292	25	overall	overall	ADJ
cana-3242	292	26	effectiveness	effectiveness	NOUN
cana-3242	292	27	and	and	CCONJ
cana-3242	292	28	reliability	reliability	NOUN
cana-3242	292	29	in	in	ADP
cana-3242	292	30	blood	blood	NOUN
cana-3242	292	31	cancer	cancer	NOUN
cana-3242	292	32	detection	detection	NOUN
cana-3242	292	33	.	.	PUNCT
cana-3242	293	1	csnn	csnn	NOUN
cana-3242	293	2	shows	show	VERB
cana-3242	293	3	competitive	competitive	ADJ
cana-3242	293	4	performance	performance	NOUN
cana-3242	293	5	but	but	CCONJ
cana-3242	293	6	falls	fall	VERB
cana-3242	293	7	short	short	ADJ
cana-3242	293	8	of	of	ADP
cana-3242	293	9	midlf	midlf	NOUN
cana-3242	293	10	,	,	PUNCT
cana-3242	293	11	while	while	SCONJ
cana-3242	293	12	tsfs	tsfs	NOUN
cana-3242	293	13	-	-	PUNCT
cana-3242	293	14	tcem	tcem	NOUN
cana-3242	293	15	lags	lag	VERB
cana-3242	293	16	significantly	significantly	ADV
cana-3242	293	17	in	in	ADP
cana-3242	293	18	all	all	DET
cana-3242	293	19	metrics	metric	NOUN
cana-3242	293	20	.	.	PUNCT
cana-3242	294	1	this	this	DET
cana-3242	294	2	visual	visual	ADJ
cana-3242	294	3	clearly	clearly	ADV
cana-3242	294	4	highlights	highlight	VERB
cana-3242	294	5	midlf	midlf	PROPN
cana-3242	294	6	’s	’s	PART
cana-3242	294	7	superiority	superiority	NOUN
cana-3242	294	8	in	in	ADP
cana-3242	294	9	handling	handle	VERB
cana-3242	294	10	multimodal	multimodal	NOUN
cana-3242	294	11	data	datum	NOUN
cana-3242	294	12	and	and	CCONJ
cana-3242	294	13	providing	provide	VERB
cana-3242	294	14	accurate	accurate	ADJ
cana-3242	294	15	predictions	prediction	NOUN
cana-3242	294	16	.	.	PUNCT
cana-3242	295	1	communications	communication	NOUN
cana-3242	295	2	on	on	ADP
cana-3242	295	3	applied	apply	VERB
cana-3242	295	4	nonlinear	nonlinear	ADJ
cana-3242	295	5	analysis	analysis	NOUN
cana-3242	295	6	issn	issn	NOUN
cana-3242	295	7	:	:	PUNCT
cana-3242	295	8	1074	1074	NUM
cana-3242	295	9	-	-	PUNCT
cana-3242	295	10	133x	133x	NUM
cana-3242	295	11	vol	vol	NOUN
cana-3242	295	12	32	32	NUM
cana-3242	295	13	no	no	NOUN
cana-3242	295	14	.	.	PUNCT
cana-3242	296	1	6s	6s	NUM
cana-3242	296	2	(	(	PUNCT
cana-3242	296	3	2025	2025	NUM
cana-3242	296	4	)	)	PUNCT
cana-3242	296	5	52	52	NUM
cana-3242	296	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	296	7	4	4	NUM
cana-3242	296	8	conclusion	conclusion	NOUN
cana-3242	296	9	this	this	DET
cana-3242	296	10	research	research	NOUN
cana-3242	296	11	introduced	introduce	VERB
cana-3242	296	12	a	a	DET
cana-3242	296	13	framework	framework	NOUN
cana-3242	296	14	for	for	ADP
cana-3242	296	15	detecting	detect	VERB
cana-3242	296	16	blood	blood	NOUN
cana-3242	296	17	cancer	cancer	NOUN
cana-3242	296	18	early	early	ADV
cana-3242	296	19	by	by	ADP
cana-3242	296	20	combining	combine	VERB
cana-3242	296	21	multiple	multiple	ADJ
cana-3242	296	22	data	datum	NOUN
cana-3242	296	23	sources	source	NOUN
cana-3242	296	24	,	,	PUNCT
cana-3242	296	25	including	include	VERB
cana-3242	296	26	patient	patient	ADJ
cana-3242	296	27	symptoms	symptom	NOUN
cana-3242	296	28	,	,	PUNCT
cana-3242	296	29	imaging	imaging	NOUN
cana-3242	296	30	,	,	PUNCT
cana-3242	296	31	and	and	CCONJ
cana-3242	296	32	laboratory	laboratory	NOUN
cana-3242	296	33	test	test	NOUN
cana-3242	296	34	results	result	NOUN
cana-3242	296	35	.	.	PUNCT
cana-3242	297	1	the	the	DET
cana-3242	297	2	framework	framework	NOUN
cana-3242	297	3	employed	employ	VERB
cana-3242	297	4	advanced	advanced	ADJ
cana-3242	297	5	techniques	technique	NOUN
cana-3242	297	6	such	such	ADJ
cana-3242	297	7	as	as	ADP
cana-3242	297	8	gated	gate	VERB
cana-3242	297	9	attention	attention	NOUN
cana-3242	297	10	to	to	PART
cana-3242	297	11	integrate	integrate	VERB
cana-3242	297	12	diverse	diverse	ADJ
cana-3242	297	13	inputs	input	NOUN
cana-3242	297	14	and	and	CCONJ
cana-3242	297	15	used	use	VERB
cana-3242	297	16	explainability	explainability	NOUN
cana-3242	297	17	tools	tool	NOUN
cana-3242	297	18	like	like	ADP
cana-3242	297	19	shap	shap	NOUN
cana-3242	297	20	and	and	CCONJ
cana-3242	297	21	layer	layer	NOUN
cana-3242	297	22	-	-	PUNCT
cana-3242	297	23	wise	wise	ADJ
cana-3242	297	24	relevance	relevance	NOUN
cana-3242	297	25	propagation	propagation	NOUN
cana-3242	297	26	to	to	PART
cana-3242	297	27	make	make	VERB
cana-3242	297	28	predictions	prediction	NOUN
cana-3242	297	29	interpretable	interpretable	ADJ
cana-3242	297	30	.	.	PUNCT
cana-3242	298	1	evaluation	evaluation	NOUN
cana-3242	298	2	on	on	ADP
cana-3242	298	3	the	the	DET
cana-3242	298	4	biobank	biobank	ADJ
cana-3242	298	5	dataset	dataset	NOUN
cana-3242	298	6	revealed	reveal	VERB
cana-3242	298	7	that	that	SCONJ
cana-3242	298	8	the	the	DET
cana-3242	298	9	framework	framework	NOUN
cana-3242	298	10	performed	perform	VERB
cana-3242	298	11	consistently	consistently	ADV
cana-3242	298	12	across	across	ADP
cana-3242	298	13	metrics	metric	NOUN
cana-3242	298	14	,	,	PUNCT
cana-3242	298	15	with	with	ADP
cana-3242	298	16	an	an	DET
cana-3242	298	17	accuracy	accuracy	NOUN
cana-3242	298	18	of	of	ADP
cana-3242	298	19	94.8	94.8	NUM
cana-3242	298	20	%	%	NOUN
cana-3242	298	21	and	and	CCONJ
cana-3242	298	22	an	an	DET
cana-3242	298	23	auc	auc	NOUN
cana-3242	298	24	-	-	PUNCT
cana-3242	298	25	roc	roc	NOUN
cana-3242	298	26	of	of	ADP
cana-3242	298	27	97.1	97.1	NUM
cana-3242	298	28	%	%	NOUN
cana-3242	298	29	.	.	PUNCT
cana-3242	299	1	the	the	DET
cana-3242	299	2	outputs	output	NOUN
cana-3242	299	3	highlighted	highlight	VERB
cana-3242	299	4	clinically	clinically	ADV
cana-3242	299	5	relevant	relevant	ADJ
cana-3242	299	6	features	feature	NOUN
cana-3242	299	7	such	such	ADJ
cana-3242	299	8	as	as	ADP
cana-3242	299	9	elevated	elevated	ADJ
cana-3242	299	10	white	white	ADJ
cana-3242	299	11	blood	blood	NOUN
cana-3242	299	12	cell	cell	NOUN
cana-3242	299	13	counts	count	NOUN
cana-3242	299	14	and	and	CCONJ
cana-3242	299	15	imaging	imaging	NOUN
cana-3242	299	16	patterns	pattern	NOUN
cana-3242	299	17	associated	associate	VERB
cana-3242	299	18	with	with	ADP
cana-3242	299	19	abnormalities	abnormality	NOUN
cana-3242	299	20	.	.	PUNCT
cana-3242	300	1	the	the	DET
cana-3242	300	2	findings	finding	NOUN
cana-3242	300	3	address	address	VERB
cana-3242	300	4	challenges	challenge	NOUN
cana-3242	300	5	in	in	ADP
cana-3242	300	6	current	current	ADJ
cana-3242	300	7	diagnostic	diagnostic	ADJ
cana-3242	300	8	methods	method	NOUN
cana-3242	300	9	,	,	PUNCT
cana-3242	300	10	which	which	PRON
cana-3242	300	11	often	often	ADV
cana-3242	300	12	rely	rely	VERB
cana-3242	300	13	on	on	ADP
cana-3242	300	14	single	single	ADJ
cana-3242	300	15	d	d	PROPN
cana-3242	300	16	ata	ata	NOUN
cana-3242	300	17	modalities	modality	NOUN
cana-3242	300	18	and	and	CCONJ
cana-3242	300	19	lack	lack	VERB
cana-3242	300	20	transparency	transparency	NOUN
cana-3242	300	21	.	.	PUNCT
cana-3242	301	1	by	by	ADP
cana-3242	301	2	analyzing	analyze	VERB
cana-3242	301	3	relationships	relationship	NOUN
cana-3242	301	4	across	across	ADP
cana-3242	301	5	different	different	ADJ
cana-3242	301	6	data	datum	NOUN
cana-3242	301	7	types	type	NOUN
cana-3242	301	8	,	,	PUNCT
cana-3242	301	9	the	the	DET
cana-3242	301	10	framework	framework	NOUN
cana-3242	301	11	demonstrated	demonstrate	VERB
cana-3242	301	12	its	its	PRON
cana-3242	301	13	ability	ability	NOUN
cana-3242	301	14	to	to	PART
cana-3242	301	15	provide	provide	VERB
cana-3242	301	16	detailed	detailed	ADJ
cana-3242	301	17	and	and	CCONJ
cana-3242	301	18	explainable	explainable	ADJ
cana-3242	301	19	predictions	prediction	NOUN
cana-3242	301	20	.	.	PUNCT
cana-3242	302	1	limitations	limitation	NOUN
cana-3242	302	2	of	of	ADP
cana-3242	302	3	the	the	DET
cana-3242	302	4	study	study	NOUN
cana-3242	302	5	include	include	VERB
cana-3242	302	6	its	its	PRON
cana-3242	302	7	reliance	reliance	NOUN
cana-3242	302	8	on	on	ADP
cana-3242	302	9	data	datum	NOUN
cana-3242	302	10	from	from	ADP
cana-3242	302	11	a	a	DET
cana-3242	302	12	single	single	ADJ
cana-3242	302	13	dataset	dataset	NOUN
cana-3242	302	14	,	,	PUNCT
cana-3242	302	15	which	which	PRON
cana-3242	302	16	may	may	AUX
cana-3242	302	17	limit	limit	VERB
cana-3242	302	18	generalizability	generalizability	NOUN
cana-3242	302	19	across	across	ADP
cana-3242	302	20	diverse	diverse	ADJ
cana-3242	302	21	populations	population	NOUN
cana-3242	302	22	.	.	PUNCT
cana-3242	303	1	future	future	ADJ
cana-3242	303	2	work	work	NOUN
cana-3242	303	3	could	could	AUX
cana-3242	303	4	involve	involve	VERB
cana-3242	303	5	incorporating	incorporate	VERB
cana-3242	303	6	more	more	ADV
cana-3242	303	7	diverse	diverse	ADJ
cana-3242	303	8	datasets	dataset	NOUN
cana-3242	303	9	,	,	PUNCT
cana-3242	303	10	exploring	explore	VERB
cana-3242	303	11	additional	additional	ADJ
cana-3242	303	12	medical	medical	ADJ
cana-3242	303	13	conditions	condition	NOUN
cana-3242	303	14	,	,	PUNCT
cana-3242	303	15	and	and	CCONJ
cana-3242	303	16	enhancing	enhance	VERB
cana-3242	303	17	the	the	DET
cana-3242	303	18	interpretability	interpretability	NOUN
cana-3242	303	19	module	module	NOUN
cana-3242	303	20	to	to	PART
cana-3242	303	21	improve	improve	VERB
cana-3242	303	22	usability	usability	NOUN
cana-3242	303	23	in	in	ADP
cana-3242	303	24	clinical	clinical	ADJ
cana-3242	303	25	settings	setting	NOUN
cana-3242	303	26	.	.	PUNCT
cana-3242	304	1	the	the	DET
cana-3242	304	2	study	study	NOUN
cana-3242	304	3	offers	offer	VERB
cana-3242	304	4	a	a	DET
cana-3242	304	5	structured	structured	ADJ
cana-3242	304	6	approach	approach	NOUN
cana-3242	304	7	to	to	ADP
cana-3242	304	8	integrating	integrate	VERB
cana-3242	304	9	diverse	diverse	ADJ
cana-3242	304	10	clinical	clinical	ADJ
cana-3242	304	11	data	datum	NOUN
cana-3242	304	12	for	for	ADP
cana-3242	304	13	early	early	ADJ
cana-3242	304	14	cancer	cancer	NOUN
cana-3242	304	15	detection	detection	NOUN
cana-3242	304	16	.	.	PUNCT
cana-3242	305	1	the	the	DET
cana-3242	305	2	methods	method	NOUN
cana-3242	305	3	and	and	CCONJ
cana-3242	305	4	findings	finding	NOUN
cana-3242	305	5	create	create	VERB
cana-3242	305	6	opportunities	opportunity	NOUN
cana-3242	305	7	for	for	ADP
cana-3242	305	8	more	more	ADV
cana-3242	305	9	tailored	tailored	ADJ
cana-3242	305	10	and	and	CCONJ
cana-3242	305	11	informed	informed	ADJ
cana-3242	305	12	diagnostics	diagnostic	NOUN
cana-3242	305	13	,	,	PUNCT
cana-3242	305	14	contributing	contribute	VERB
cana-3242	305	15	to	to	ADP
cana-3242	305	16	the	the	DET
cana-3242	305	17	ongoing	ongoing	ADJ
cana-3242	305	18	development	development	NOUN
cana-3242	305	19	of	of	ADP
cana-3242	305	20	data	data	NOUN
cana-3242	305	21	-	-	PUNCT
cana-3242	305	22	driven	drive	VERB
cana-3242	305	23	tools	tool	NOUN
cana-3242	305	24	in	in	ADP
cana-3242	305	25	healthcare	healthcare	PROPN
cana-3242	305	26	.	.	PUNCT
cana-3242	306	1	by	by	ADP
cana-3242	306	2	addressing	address	VERB
cana-3242	306	3	data	datum	NOUN
cana-3242	306	4	integration	integration	NOUN
cana-3242	306	5	and	and	CCONJ
cana-3242	306	6	interpretability	interpretability	NOUN
cana-3242	306	7	challenges	challenge	NOUN
cana-3242	306	8	,	,	PUNCT
cana-3242	306	9	the	the	DET
cana-3242	306	10	framework	framework	NOUN
cana-3242	306	11	provides	provide	VERB
cana-3242	306	12	a	a	DET
cana-3242	306	13	starting	starting	NOUN
cana-3242	306	14	point	point	NOUN
cana-3242	306	15	for	for	ADP
cana-3242	306	16	building	build	VERB
cana-3242	306	17	diagnostic	diagnostic	ADJ
cana-3242	306	18	models	model	NOUN
cana-3242	306	19	that	that	PRON
cana-3242	306	20	are	be	AUX
cana-3242	306	21	transparent	transparent	ADJ
cana-3242	306	22	and	and	CCONJ
cana-3242	306	23	adaptable	adaptable	ADJ
cana-3242	306	24	to	to	ADP
cana-3242	306	25	real	real	ADJ
cana-3242	306	26	-	-	PUNCT
cana-3242	306	27	world	world	NOUN
cana-3242	306	28	applications	application	NOUN
cana-3242	306	29	.	.	PUNCT
cana-3242	307	1	references	reference	NOUN
cana-3242	307	2	[	[	X
cana-3242	307	3	1	1	NUM
cana-3242	307	4	]	]	X
cana-3242	307	5	singh	singh	PROPN
cana-3242	307	6	,	,	PUNCT
cana-3242	307	7	jaswinder	jaswinder	NOUN
cana-3242	307	8	bir	bir	NOUN
cana-3242	307	9	,	,	PUNCT
cana-3242	307	10	and	and	CCONJ
cana-3242	307	11	vijay	vijay	NOUN
cana-3242	307	12	luxmi	luxmi	NOUN
cana-3242	307	13	.	.	PUNCT
cana-3242	308	1	"	"	PUNCT
cana-3242	308	2	automated	automate	VERB
cana-3242	308	3	diagnosis	diagnosis	NOUN
cana-3242	308	4	and	and	CCONJ
cana-3242	308	5	detection	detection	NOUN
cana-3242	308	6	of	of	ADP
cana-3242	308	7	blood	blood	NOUN
cana-3242	308	8	cancer	cancer	NOUN
cana-3242	308	9	using	use	VERB
cana-3242	308	10	deep	deep	ADJ
cana-3242	308	11	learningbased	learningbase	VERB
cana-3242	308	12	approaches	approach	NOUN
cana-3242	308	13	:	:	PUNCT
cana-3242	308	14	a	a	DET
cana-3242	308	15	recent	recent	ADJ
cana-3242	308	16	study	study	NOUN
cana-3242	308	17	and	and	CCONJ
cana-3242	308	18	challenges	challenge	NOUN
cana-3242	308	19	.	.	PUNCT
cana-3242	308	20	"	"	PUNCT
cana-3242	309	1	in	in	ADP
cana-3242	309	2	2023	2023	NUM
cana-3242	309	3	6th	6th	ADJ
cana-3242	309	4	international	international	ADJ
cana-3242	309	5	conference	conference	NOUN
cana-3242	309	6	on	on	ADP
cana-3242	309	7	contemporary	contemporary	ADJ
cana-3242	309	8	computing	computing	NOUN
cana-3242	309	9	and	and	CCONJ
cana-3242	309	10	informatics	informatic	NOUN
cana-3242	309	11	(	(	PUNCT
cana-3242	309	12	ic3i	ic3i	X
cana-3242	309	13	)	)	PUNCT
cana-3242	309	14	,	,	PUNCT
cana-3242	309	15	vol	vol	NOUN
cana-3242	309	16	.	.	PROPN
cana-3242	309	17	6	6	NUM
cana-3242	309	18	,	,	PUNCT
cana-3242	309	19	pp	pp	ADJ
cana-3242	309	20	.	.	PUNCT
cana-3242	309	21	1187	1187	NUM
cana-3242	309	22	-	-	SYM
cana-3242	309	23	1192	1192	NUM
cana-3242	309	24	.	.	PUNCT
cana-3242	309	25	ieee	ieee	NOUN
cana-3242	309	26	,	,	PUNCT
cana-3242	309	27	2023	2023	NUM
cana-3242	309	28	.	.	PUNCT
cana-3242	310	1	[	[	X
cana-3242	310	2	2	2	NUM
cana-3242	310	3	]	]	PUNCT
cana-3242	310	4	hajjar	hajjar	PROPN
cana-3242	310	5	,	,	PUNCT
cana-3242	310	6	maryam	maryam	PROPN
cana-3242	310	7	,	,	PUNCT
cana-3242	310	8	somayah	somayah	ADJ
cana-3242	310	9	albaradei	albaradei	NOUN
cana-3242	310	10	,	,	PUNCT
cana-3242	310	11	and	and	CCONJ
cana-3242	310	12	ghadah	ghadah	NOUN
cana-3242	310	13	aldabbagh	aldabbagh	NOUN
cana-3242	310	14	.	.	PUNCT
cana-3242	311	1	"	"	PUNCT
cana-3242	311	2	machine	machine	NOUN
cana-3242	311	3	learning	learning	NOUN
cana-3242	311	4	approaches	approach	NOUN
cana-3242	311	5	in	in	ADP
cana-3242	311	6	multi	multi	ADJ
cana-3242	311	7	-	-	ADJ
cana-3242	311	8	cancer	cancer	ADJ
cana-3242	311	9	early	early	ADJ
cana-3242	311	10	detection	detection	NOUN
cana-3242	311	11	.	.	PUNCT
cana-3242	311	12	"	"	PUNCT
cana-3242	311	13	information	information	NOUN
cana-3242	311	14	15	15	NUM
cana-3242	311	15	,	,	PUNCT
cana-3242	311	16	no	no	INTJ
cana-3242	311	17	.	.	NOUN
cana-3242	311	18	10	10	NUM
cana-3242	311	19	(	(	PUNCT
cana-3242	311	20	2024	2024	NUM
cana-3242	311	21	):	):	PUNCT
cana-3242	311	22	627	627	NUM
cana-3242	311	23	.	.	PUNCT
cana-3242	312	1	[	[	X
cana-3242	312	2	3	3	NUM
cana-3242	312	3	]	]	X
cana-3242	312	4	taimur	taimur	PROPN
cana-3242	312	5	ahad	ahad	PROPN
cana-3242	312	6	,	,	PUNCT
cana-3242	312	7	md	md	PROPN
cana-3242	312	8	,	,	PUNCT
cana-3242	312	9	israt	israt	PROPN
cana-3242	312	10	jahan	jahan	PROPN
cana-3242	312	11	payel	payel	PROPN
cana-3242	312	12	,	,	PUNCT
cana-3242	312	13	bo	bo	PROPN
cana-3242	312	14	song	song	NOUN
cana-3242	312	15	,	,	PUNCT
cana-3242	312	16	and	and	CCONJ
cana-3242	312	17	yan	yan	PROPN
cana-3242	312	18	li	li	PROPN
cana-3242	312	19	.	.	PUNCT
cana-3242	313	1	"	"	PUNCT
cana-3242	313	2	dvs	dvs	NOUN
cana-3242	313	3	:	:	PUNCT
cana-3242	313	4	blood	blood	NOUN
cana-3242	313	5	cancer	cancer	NOUN
cana-3242	313	6	detection	detection	NOUN
cana-3242	313	7	using	use	VERB
cana-3242	313	8	novel	novel	ADJ
cana-3242	313	9	cnn	cnn	PROPN
cana-3242	313	10	-	-	PUNCT
cana-3242	313	11	based	base	VERB
cana-3242	313	12	ensemble	ensemble	ADJ
cana-3242	313	13	approach	approach	NOUN
cana-3242	313	14	.	.	PUNCT
cana-3242	313	15	"	"	PUNCT
cana-3242	314	1	arxiv	arxiv	PROPN
cana-3242	314	2	e	e	PROPN
cana-3242	314	3	-	-	NOUN
cana-3242	314	4	prints	print	NOUN
cana-3242	314	5	(	(	PUNCT
cana-3242	314	6	2024	2024	NUM
cana-3242	314	7	):	):	PUNCT
cana-3242	314	8	arxiv-2410	arxiv-2410	ADJ
cana-3242	314	9	.	.	PUNCT
cana-3242	315	1	[	[	X
cana-3242	315	2	4	4	NUM
cana-3242	315	3	]	]	SYM
cana-3242	315	4	prajapati	prajapati	PROPN
cana-3242	315	5	,	,	PUNCT
cana-3242	315	6	manish	manish	PROPN
cana-3242	315	7	,	,	PUNCT
cana-3242	315	8	santos	santos	PROPN
cana-3242	315	9	kumar	kumar	PROPN
cana-3242	315	10	baliarsingh	baliarsingh	PROPN
cana-3242	315	11	,	,	PUNCT
cana-3242	315	12	jhalak	jhalak	ADJ
cana-3242	315	13	hota	hota	PROPN
cana-3242	315	14	,	,	PUNCT
cana-3242	315	15	prabhu	prabhu	PROPN
cana-3242	315	16	prasad	prasad	PROPN
cana-3242	315	17	dev	dev	PROPN
cana-3242	315	18	,	,	PUNCT
cana-3242	315	19	and	and	CCONJ
cana-3242	315	20	shuvam	shuvam	ADJ
cana-3242	315	21	das	das	PROPN
cana-3242	315	22	.	.	PUNCT
cana-3242	316	1	"	"	PUNCT
cana-3242	316	2	detection	detection	NOUN
cana-3242	316	3	and	and	CCONJ
cana-3242	316	4	classification	classification	NOUN
cana-3242	316	5	of	of	ADP
cana-3242	316	6	blood	blood	NOUN
cana-3242	316	7	cancer	cancer	NOUN
cana-3242	316	8	using	use	VERB
cana-3242	316	9	deep	deep	ADJ
cana-3242	316	10	learning	learning	NOUN
cana-3242	316	11	framework	framework	NOUN
cana-3242	316	12	.	.	PUNCT
cana-3242	316	13	"	"	PUNCT
cana-3242	317	1	in	in	ADP
cana-3242	317	2	international	international	ADJ
cana-3242	317	3	conference	conference	NOUN
cana-3242	317	4	on	on	ADP
cana-3242	317	5	women	woman	NOUN
cana-3242	317	6	researchers	researcher	NOUN
cana-3242	317	7	in	in	ADP
cana-3242	317	8	electronics	electronic	NOUN
cana-3242	317	9	and	and	CCONJ
cana-3242	317	10	computing	computing	NOUN
cana-3242	317	11	,	,	PUNCT
cana-3242	317	12	pp	pp	ADJ
cana-3242	317	13	.	.	PUNCT
cana-3242	317	14	159	159	NUM
cana-3242	317	15	-	-	SYM
cana-3242	317	16	165	165	NUM
cana-3242	317	17	.	.	PUNCT
cana-3242	317	18	singapore	singapore	PROPN
cana-3242	317	19	:	:	PUNCT
cana-3242	317	20	springer	springer	NOUN
cana-3242	317	21	nature	nature	PROPN
cana-3242	317	22	singapore	singapore	PROPN
cana-3242	317	23	,	,	PUNCT
cana-3242	317	24	2023	2023	NUM
cana-3242	317	25	.	.	PUNCT
cana-3242	318	1	[	[	X
cana-3242	318	2	5	5	NUM
cana-3242	318	3	]	]	SYM
cana-3242	318	4	akter	akter	NOUN
cana-3242	318	5	,	,	PUNCT
cana-3242	318	6	tanjina	tanjina	PROPN
cana-3242	318	7	,	,	PUNCT
cana-3242	318	8	kingkar	kingkar	PROPN
cana-3242	318	9	prosad	prosad	PROPN
cana-3242	318	10	ghosh	ghosh	PROPN
cana-3242	318	11	,	,	PUNCT
cana-3242	318	12	ahmed	ahmed	PROPN
cana-3242	318	13	rabbi	rabbi	PROPN
cana-3242	318	14	,	,	PUNCT
cana-3242	318	15	mohammad	mohammad	PROPN
cana-3242	318	16	motiur	motiur	PROPN
cana-3242	318	17	rahman	rahman	PROPN
cana-3242	318	18	,	,	PUNCT
cana-3242	318	19	and	and	CCONJ
cana-3242	318	20	marufa	marufa	NOUN
cana-3242	318	21	jahan	jahan	PROPN
cana-3242	318	22	rume	rume	PROPN
cana-3242	318	23	.	.	PUNCT
cana-3242	319	1	"	"	PUNCT
cana-3242	319	2	a	a	DET
cana-3242	319	3	machine	machine	NOUN
cana-3242	319	4	learning	learn	VERB
cana-3242	319	5	approach	approach	NOUN
cana-3242	319	6	to	to	PART
cana-3242	319	7	predict	predict	VERB
cana-3242	319	8	blood	blood	NOUN
cana-3242	319	9	cancer	cancer	NOUN
cana-3242	319	10	from	from	ADP
cana-3242	319	11	patients	patient	NOUN
cana-3242	319	12	'	'	PART
cana-3242	319	13	symptoms	symptom	NOUN
cana-3242	319	14	and	and	CCONJ
cana-3242	319	15	blood	blood	NOUN
cana-3242	319	16	images	image	NOUN
cana-3242	319	17	.	.	PUNCT
cana-3242	319	18	"	"	PUNCT
cana-3242	320	1	(	(	PUNCT
cana-3242	320	2	2024	2024	NUM
cana-3242	320	3	)	)	PUNCT
cana-3242	320	4	.	.	PUNCT
cana-3242	321	1	[	[	X
cana-3242	321	2	6	6	NUM
cana-3242	321	3	]	]	X
cana-3242	321	4	waqas	waqas	PROPN
cana-3242	321	5	,	,	PUNCT
cana-3242	321	6	asim	asim	PROPN
cana-3242	321	7	,	,	PUNCT
cana-3242	321	8	aakash	aakash	PROPN
cana-3242	321	9	tripathi	tripathi	PROPN
cana-3242	321	10	,	,	PUNCT
cana-3242	321	11	ravi	ravi	PROPN
cana-3242	321	12	p.	p.	PROPN
cana-3242	321	13	ramachandran	ramachandran	PROPN
cana-3242	321	14	,	,	PUNCT
cana-3242	321	15	paul	paul	PROPN
cana-3242	321	16	a.	a.	PROPN
cana-3242	321	17	stewart	stewart	PROPN
cana-3242	321	18	,	,	PUNCT
cana-3242	321	19	and	and	CCONJ
cana-3242	321	20	ghulam	ghulam	PROPN
cana-3242	321	21	rasool	rasool	PROPN
cana-3242	321	22	.	.	PUNCT
cana-3242	322	1	"	"	PUNCT
cana-3242	322	2	multimodal	multimodal	ADJ
cana-3242	322	3	data	datum	NOUN
cana-3242	322	4	integration	integration	NOUN
cana-3242	322	5	for	for	ADP
cana-3242	322	6	oncology	oncology	NOUN
cana-3242	322	7	in	in	ADP
cana-3242	322	8	the	the	DET
cana-3242	322	9	era	era	NOUN
cana-3242	322	10	of	of	ADP
cana-3242	322	11	deep	deep	ADJ
cana-3242	322	12	neural	neural	ADJ
cana-3242	322	13	networks	network	NOUN
cana-3242	322	14	:	:	PUNCT
cana-3242	322	15	a	a	DET
cana-3242	322	16	review	review	NOUN
cana-3242	322	17	.	.	PUNCT
cana-3242	322	18	"	"	PUNCT
cana-3242	323	1	frontiers	frontier	NOUN
cana-3242	323	2	in	in	ADP
cana-3242	323	3	artificial	artificial	ADJ
cana-3242	323	4	intelligence	intelligence	NOUN
cana-3242	323	5	7	7	NUM
cana-3242	323	6	(	(	PUNCT
cana-3242	323	7	2024	2024	NUM
cana-3242	323	8	):	):	PUNCT
cana-3242	323	9	1408843	1408843	NUM
cana-3242	323	10	.	.	PUNCT
cana-3242	324	1	[	[	X
cana-3242	324	2	7	7	NUM
cana-3242	324	3	]	]	X
cana-3242	324	4	kudumula	kudumula	NOUN
cana-3242	324	5	,	,	PUNCT
cana-3242	324	6	umamaheswara	umamaheswara	ADJ
cana-3242	324	7	reddy	reddy	NOUN
cana-3242	324	8	.	.	PUNCT
cana-3242	325	1	"	"	PUNCT
cana-3242	325	2	utilizing	utilize	VERB
cana-3242	325	3	ai	ai	NOUN
cana-3242	325	4	/	/	SYM
cana-3242	325	5	ml	ml	NOUN
cana-3242	325	6	models	model	NOUN
cana-3242	325	7	to	to	PART
cana-3242	325	8	detect	detect	VERB
cana-3242	325	9	and	and	CCONJ
cana-3242	325	10	diagnose	diagnose	VERB
cana-3242	325	11	early	early	ADJ
cana-3242	325	12	-stage	-stage	NOUN
cana-3242	325	13	cancer	cancer	NOUN
cana-3242	325	14	.	.	PUNCT
cana-3242	325	15	"	"	PUNCT
cana-3242	326	1	international	international	ADJ
cana-3242	326	2	journal	journal	NOUN
cana-3242	326	3	of	of	ADP
cana-3242	326	4	science	science	NOUN
cana-3242	326	5	and	and	CCONJ
cana-3242	326	6	research	research	NOUN
cana-3242	326	7	(	(	PUNCT
cana-3242	326	8	ijsr	ijsr	PROPN
cana-3242	326	9	)	)	PUNCT
cana-3242	326	10	,	,	PUNCT
cana-3242	326	11	volume	volume	NOUN
cana-3242	326	12	13	13	NUM
cana-3242	326	13	issue	issue	NOUN
cana-3242	326	14	3	3	NUM
cana-3242	326	15	,	,	PUNCT
cana-3242	326	16	march	march	PROPN
cana-3242	326	17	2024	2024	NUM
cana-3242	326	18	,	,	PUNCT
cana-3242	326	19	doi	doi	NOUN
cana-3242	326	20	:	:	PUNCT
cana-3242	326	21	https://dx.doi.org/10.21275/sr24314092858	https://dx.doi.org/10.21275/sr24314092858	NOUN
cana-3242	326	22	.	.	PUNCT
cana-3242	327	1	[	[	X
cana-3242	327	2	8	8	NUM
cana-3242	327	3	]	]	SYM
cana-3242	327	4	shamout	shamout	NOUN
cana-3242	327	5	,	,	PUNCT
cana-3242	327	6	farah	farah	PROPN
cana-3242	327	7	e.	e.	PROPN
cana-3242	327	8	,	,	PUNCT
cana-3242	327	9	tingting	tingte	VERB
cana-3242	327	10	zhu	zhu	PROPN
cana-3242	327	11	,	,	PUNCT
cana-3242	327	12	pulkit	pulkit	NOUN
cana-3242	327	13	sharma	sharma	PROPN
cana-3242	327	14	,	,	PUNCT
cana-3242	327	15	peter	peter	PROPN
cana-3242	327	16	j.	j.	PROPN
cana-3242	327	17	watkinson	watkinson	PROPN
cana-3242	327	18	,	,	PUNCT
cana-3242	327	19	and	and	CCONJ
cana-3242	327	20	david	david	PROPN
cana-3242	327	21	a.	a.	PROPN
cana-3242	327	22	clifton	clifton	PROPN
cana-3242	327	23	.	.	PUNCT
cana-3242	328	1	"	"	PUNCT
cana-3242	328	2	deep	deep	ADJ
cana-3242	328	3	interpretable	interpretable	ADJ
cana-3242	328	4	early	early	ADJ
cana-3242	328	5	warning	warning	NOUN
cana-3242	328	6	system	system	NOUN
cana-3242	328	7	for	for	ADP
cana-3242	328	8	the	the	DET
cana-3242	328	9	detection	detection	NOUN
cana-3242	328	10	of	of	ADP
cana-3242	328	11	clinical	clinical	ADJ
cana-3242	328	12	deterioration	deterioration	NOUN
cana-3242	328	13	.	.	PUNCT
cana-3242	328	14	"	"	PUNCT
cana-3242	329	1	ieee	ieee	PROPN
cana-3242	329	2	journal	journal	PROPN
cana-3242	329	3	of	of	ADP
cana-3242	329	4	biomedical	biomedical	ADJ
cana-3242	329	5	and	and	CCONJ
cana-3242	329	6	health	health	NOUN
cana-3242	329	7	informatics	informatic	NOUN
cana-3242	329	8	24	24	NUM
cana-3242	329	9	,	,	PUNCT
cana-3242	329	10	no	no	INTJ
cana-3242	329	11	.	.	NOUN
cana-3242	329	12	2	2	NUM
cana-3242	329	13	(	(	PUNCT
cana-3242	329	14	2019	2019	NUM
cana-3242	329	15	):	):	PUNCT
cana-3242	329	16	437	437	NUM
cana-3242	329	17	-	-	SYM
cana-3242	329	18	446	446	NUM
cana-3242	329	19	.	.	PUNCT
cana-3242	330	1	[	[	X
cana-3242	330	2	9	9	NUM
cana-3242	330	3	]	]	SYM
cana-3242	330	4	li	li	PROPN
cana-3242	330	5	,	,	PUNCT
cana-3242	330	6	zhe	zhe	PROPN
cana-3242	330	7	,	,	PUNCT
cana-3242	330	8	yuming	yuming	PROPN
cana-3242	330	9	jiang	jiang	PROPN
cana-3242	330	10	,	,	PUNCT
cana-3242	330	11	and	and	CCONJ
cana-3242	330	12	ruijiang	ruijiang	PROPN
cana-3242	330	13	li	li	PROPN
cana-3242	330	14	.	.	PUNCT
cana-3242	331	1	"	"	PUNCT
cana-3242	331	2	multi	multi	ADJ
cana-3242	331	3	-	-	ADJ
cana-3242	331	4	modal	modal	ADJ
cana-3242	331	5	deep	deep	ADJ
cana-3242	331	6	learning	learning	NOUN
cana-3242	331	7	to	to	PART
cana-3242	331	8	predict	predict	VERB
cana-3242	331	9	cancer	cancer	NOUN
cana-3242	331	10	outcomes	outcome	NOUN
cana-3242	331	11	by	by	ADP
cana-3242	331	12	integrating	integrate	VERB
cana-3242	331	13	radiology	radiology	NOUN
cana-3242	331	14	and	and	CCONJ
cana-3242	331	15	pathology	pathology	NOUN
cana-3242	331	16	images	image	NOUN
cana-3242	331	17	.	.	PUNCT
cana-3242	331	18	"	"	PUNCT
cana-3242	332	1	cancer	cancer	NOUN
cana-3242	332	2	research	research	NOUN
cana-3242	332	3	84	84	NUM
cana-3242	332	4	,	,	PUNCT
cana-3242	332	5	no	no	INTJ
cana-3242	332	6	.	.	PUNCT
cana-3242	333	1	6_supplement	6_supplement	NUM
cana-3242	333	2	(	(	PUNCT
cana-3242	333	3	2024	2024	NUM
cana-3242	333	4	):	):	PUNCT
cana-3242	333	5	2313	2313	NUM
cana-3242	333	6	-2313	-2313	NOUN
cana-3242	333	7	.	.	PUNCT
cana-3242	334	1	communications	communication	NOUN
cana-3242	334	2	on	on	ADP
cana-3242	334	3	applied	apply	VERB
cana-3242	334	4	nonlinear	nonlinear	ADJ
cana-3242	334	5	analysis	analysis	NOUN
cana-3242	334	6	issn	issn	NOUN
cana-3242	334	7	:	:	PUNCT
cana-3242	334	8	1074	1074	NUM
cana-3242	334	9	-	-	PUNCT
cana-3242	334	10	133x	133x	NUM
cana-3242	334	11	vol	vol	NOUN
cana-3242	334	12	32	32	NUM
cana-3242	334	13	no	no	NOUN
cana-3242	334	14	.	.	PUNCT
cana-3242	335	1	6s	6s	NUM
cana-3242	335	2	(	(	PUNCT
cana-3242	335	3	2025	2025	NUM
cana-3242	335	4	)	)	PUNCT
cana-3242	335	5	53	53	NUM
cana-3242	335	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3242	336	1	[	[	X
cana-3242	336	2	10	10	NUM
cana-3242	336	3	]	]	X
cana-3242	336	4	tang	tang	PROPN
cana-3242	336	5	,	,	PUNCT
cana-3242	336	6	xianfang	xianfang	PROPN
cana-3242	336	7	,	,	PUNCT
cana-3242	336	8	lijun	lijun	PROPN
cana-3242	336	9	cai	cai	PROPN
cana-3242	336	10	,	,	PUNCT
cana-3242	336	11	yajie	yajie	PROPN
cana-3242	336	12	meng	meng	PROPN
cana-3242	336	13	,	,	PUNCT
cana-3242	336	14	changlong	changlong	PROPN
cana-3242	336	15	gu	gu	PROPN
cana-3242	336	16	,	,	PUNCT
cana-3242	336	17	jialiang	jialiang	PROPN
cana-3242	336	18	yang	yang	PROPN
cana-3242	336	19	,	,	PUNCT
cana-3242	336	20	and	and	CCONJ
cana-3242	336	21	jiasheng	jiasheng	PROPN
cana-3242	336	22	yang	yang	PROPN
cana-3242	336	23	.	.	PUNCT
cana-3242	337	1	"	"	PUNCT
cana-3242	337	2	a	a	DET
cana-3242	337	3	novel	novel	ADJ
cana-3242	337	4	hybrid	hybrid	ADJ
cana-3242	337	5	feature	feature	NOUN
cana-3242	337	6	selection	selection	NOUN
cana-3242	337	7	and	and	CCONJ
cana-3242	337	8	ensemble	ensemble	ADJ
cana-3242	337	9	learning	learning	NOUN
cana-3242	337	10	framework	framework	NOUN
cana-3242	337	11	for	for	ADP
cana-3242	337	12	unbalanced	unbalanced	ADJ
cana-3242	337	13	cancer	cancer	NOUN
cana-3242	337	14	data	datum	NOUN
cana-3242	337	15	diagnosis	diagnosis	NOUN
cana-3242	337	16	with	with	ADP
cana-3242	337	17	transcriptome	transcriptome	ADJ
cana-3242	337	18	and	and	CCONJ
cana-3242	337	19	functional	functional	ADJ
cana-3242	337	20	proteomic	proteomic	NOUN
cana-3242	337	21	.	.	PUNCT
cana-3242	337	22	"	"	PUNCT
cana-3242	338	1	ieee	ieee	NOUN
cana-3242	338	2	access	access	NOUN
cana-3242	338	3	9	9	NUM
cana-3242	338	4	(	(	PUNCT
cana-3242	338	5	2021	2021	NUM
cana-3242	338	6	):	):	PUNCT
cana-3242	338	7	51659	51659	NUM
cana-3242	338	8	-	-	SYM
cana-3242	338	9	51668	51668	NUM
cana-3242	338	10	.	.	PUNCT
cana-3242	339	1	[	[	X
cana-3242	339	2	11	11	NUM
cana-3242	339	3	]	]	PUNCT
cana-3242	339	4	park	park	NOUN
cana-3242	339	5	,	,	PUNCT
cana-3242	339	6	jiheum	jiheum	NOUN
cana-3242	339	7	,	,	PUNCT
cana-3242	339	8	michael	michael	PROPN
cana-3242	339	9	g.	g.	PROPN
cana-3242	339	10	artin	artin	PROPN
cana-3242	339	11	,	,	PUNCT
cana-3242	339	12	kate	kate	PROPN
cana-3242	339	13	e.	e.	PROPN
cana-3242	339	14	lee	lee	PROPN
cana-3242	339	15	,	,	PUNCT
cana-3242	339	16	yoanna	yoanna	PROPN
cana-3242	339	17	s.	s.	PROPN
cana-3242	339	18	pumpalova	pumpalova	PROPN
cana-3242	339	19	,	,	PUNCT
cana-3242	339	20	myles	myles	PROPN
cana-3242	339	21	a.	a.	PROPN
cana-3242	339	22	ingram	ingram	PROPN
cana-3242	339	23	,	,	PUNCT
cana-3242	339	24	benjamin	benjamin	PROPN
cana-3242	339	25	l.	l.	PROPN
cana-3242	339	26	may	may	PROPN
cana-3242	339	27	,	,	PUNCT
cana-3242	339	28	michael	michael	PROPN
cana-3242	339	29	park	park	PROPN
cana-3242	339	30	,	,	PUNCT
cana-3242	339	31	chin	chin	PROPN
cana-3242	339	32	hur	hur	PROPN
cana-3242	339	33	,	,	PUNCT
cana-3242	339	34	and	and	CCONJ
cana-3242	339	35	nicholas	nicholas	PROPN
cana-3242	339	36	p.	p.	PROPN
cana-3242	339	37	tatonetti	tatonetti	PROPN
cana-3242	339	38	.	.	PUNCT
cana-3242	340	1	"	"	PUNCT
cana-3242	340	2	deep	deep	ADJ
cana-3242	340	3	learning	learning	NOUN
cana-3242	340	4	on	on	ADP
cana-3242	340	5	time	time	NOUN
cana-3242	340	6	series	series	PROPN
cana-3242	340	7	laboratory	laboratory	NOUN
cana-3242	340	8	test	test	NOUN
cana-3242	340	9	results	result	NOUN
cana-3242	340	10	from	from	ADP
cana-3242	340	11	electronic	electronic	ADJ
cana-3242	340	12	health	health	NOUN
cana-3242	340	13	records	record	NOUN
cana-3242	340	14	for	for	ADP
cana-3242	340	15	early	early	ADJ
cana-3242	340	16	detection	detection	NOUN
cana-3242	340	17	of	of	ADP
cana-3242	340	18	pancreatic	pancreatic	ADJ
cana-3242	340	19	cancer	cancer	NOUN
cana-3242	340	20	.	.	PUNCT
cana-3242	340	21	"	"	PUNCT
cana-3242	341	1	journal	journal	NOUN
cana-3242	341	2	of	of	ADP
cana-3242	341	3	biomedical	biomedical	ADJ
cana-3242	341	4	informatics	informatic	NOUN
cana-3242	341	5	131	131	NUM
cana-3242	341	6	(	(	PUNCT
cana-3242	341	7	2022	2022	NUM
cana-3242	341	8	):	):	PUNCT
cana-3242	341	9	104095	104095	NUM
cana-3242	341	10	.	.	PUNCT
cana-3242	342	1	[	[	X
cana-3242	342	2	12	12	NUM
cana-3242	342	3	]	]	X
cana-3242	342	4	bukhari	bukhari	PROPN
cana-3242	342	5	,	,	PUNCT
cana-3242	342	6	maryam	maryam	PROPN
cana-3242	342	7	,	,	PUNCT
cana-3242	342	8	sadaf	sadaf	PROPN
cana-3242	342	9	yasmin	yasmin	PROPN
cana-3242	342	10	,	,	PUNCT
cana-3242	342	11	saima	saima	PROPN
cana-3242	342	12	sammad	sammad	PROPN
cana-3242	342	13	,	,	PUNCT
cana-3242	342	14	and	and	CCONJ
cana-3242	342	15	ahmed	ahmed	PROPN
cana-3242	342	16	a.	a.	PROPN
cana-3242	342	17	abd	abd	PROPN
cana-3242	342	18	el	el	PROPN
cana-3242	342	19	-	-	PROPN
cana-3242	342	20	latif	latif	PROPN
cana-3242	342	21	.	.	PUNCT
cana-3242	343	1	"	"	PUNCT
cana-3242	343	2	a	a	DET
cana-3242	343	3	deep	deep	ADJ
cana-3242	343	4	learning	learning	NOUN
cana-3242	343	5	framework	framework	NOUN
cana-3242	343	6	for	for	ADP
cana-3242	343	7	leukemia	leukemia	NOUN
cana-3242	343	8	cancer	cancer	NOUN
cana-3242	343	9	detection	detection	NOUN
cana-3242	343	10	in	in	ADP
cana-3242	343	11	microscopic	microscopic	ADJ
cana-3242	343	12	blood	blood	NOUN
cana-3242	343	13	samples	sample	NOUN
cana-3242	343	14	using	use	VERB
cana-3242	343	15	squeeze	squeeze	NOUN
cana-3242	343	16	and	and	CCONJ
cana-3242	343	17	excitation	excitation	NOUN
cana-3242	343	18	learning	learning	NOUN
cana-3242	343	19	.	.	PUNCT
cana-3242	343	20	"	"	PUNCT
cana-3242	344	1	mathematical	mathematical	ADJ
cana-3242	344	2	problems	problem	NOUN
cana-3242	344	3	in	in	ADP
cana-3242	344	4	engineering	engineer	VERB
cana-3242	344	5	2022	2022	NUM
cana-3242	344	6	,	,	PUNCT
cana-3242	344	7	no	no	INTJ
cana-3242	344	8	.	.	NOUN
cana-3242	344	9	1	1	NUM
cana-3242	344	10	(	(	PUNCT
cana-3242	344	11	2022	2022	NUM
cana-3242	344	12	):	):	PUNCT
cana-3242	344	13	2801227	2801227	NUM
cana-3242	344	14	.	.	PUNCT
cana-3242	345	1	[	[	X
cana-3242	345	2	13	13	NUM
cana-3242	345	3	]	]	SYM
cana-3242	345	4	ma	ma	PROPN
cana-3242	345	5	,	,	PUNCT
cana-3242	345	6	ling	ling	PROPN
cana-3242	345	7	,	,	PUNCT
cana-3242	345	8	guolan	guolan	PROPN
cana-3242	345	9	lu	lu	PROPN
cana-3242	345	10	,	,	PUNCT
cana-3242	345	11	dongsheng	dongsheng	PROPN
cana-3242	345	12	wang	wang	PROPN
cana-3242	345	13	,	,	PUNCT
cana-3242	345	14	xulei	xulei	PROPN
cana-3242	345	15	qin	qin	PROPN
cana-3242	345	16	,	,	PUNCT
cana-3242	345	17	zhuo	zhuo	PROPN
cana-3242	345	18	georgia	georgia	PROPN
cana-3242	345	19	chen	chen	PROPN
cana-3242	345	20	,	,	PUNCT
cana-3242	345	21	and	and	CCONJ
cana-3242	345	22	baowei	baowei	PROPN
cana-3242	345	23	fei	fei	PROPN
cana-3242	345	24	.	.	PUNCT
cana-3242	346	1	"	"	PUNCT
cana-3242	346	2	adaptive	adaptive	ADJ
cana-3242	346	3	deep	deep	ADJ
cana-3242	346	4	learning	learning	NOUN
cana-3242	346	5	for	for	ADP
cana-3242	346	6	head	head	NOUN
cana-3242	346	7	and	and	CCONJ
cana-3242	346	8	neck	neck	NOUN
cana-3242	346	9	cancer	cancer	NOUN
cana-3242	346	10	detection	detection	NOUN
cana-3242	346	11	using	use	VERB
cana-3242	346	12	hyperspectral	hyperspectral	ADJ
cana-3242	346	13	imaging	imaging	NOUN
cana-3242	346	14	.	.	PUNCT
cana-3242	346	15	"	"	PUNCT
cana-3242	346	16	visual	visual	ADJ
cana-3242	346	17	computing	computing	NOUN
cana-3242	346	18	for	for	ADP
cana-3242	346	19	industry	industry	NOUN
cana-3242	346	20	,	,	PUNCT
cana-3242	346	21	biomedicine	biomedicine	NOUN
cana-3242	346	22	,	,	PUNCT
cana-3242	346	23	and	and	CCONJ
cana-3242	346	24	art	art	NOUN
cana-3242	346	25	2	2	NUM
cana-3242	346	26	(	(	PUNCT
cana-3242	346	27	2019	2019	NUM
cana-3242	346	28	):	):	PUNCT
cana-3242	346	29	1	1	NUM
cana-3242	346	30	-	-	SYM
cana-3242	346	31	12	12	NUM
cana-3242	346	32	.	.	PUNCT
cana-3242	347	1	[	[	X
cana-3242	347	2	14	14	NUM
cana-3242	347	3	]	]	PUNCT
cana-3242	347	4	barillaro	barillaro	NOUN
cana-3242	347	5	,	,	PUNCT
cana-3242	347	6	luca	luca	PROPN
cana-3242	347	7	,	,	PUNCT
cana-3242	347	8	giuseppe	giuseppe	PROPN
cana-3242	347	9	agapito	agapito	PROPN
cana-3242	347	10	,	,	PUNCT
cana-3242	347	11	and	and	CCONJ
cana-3242	347	12	mario	mario	PROPN
cana-3242	347	13	cannataro	cannataro	NOUN
cana-3242	347	14	.	.	PUNCT
cana-3242	348	1	"	"	PUNCT
cana-3242	348	2	using	use	VERB
cana-3242	348	3	edge	edge	NOUN
cana-3242	348	4	-	-	PUNCT
cana-3242	348	5	based	base	VERB
cana-3242	348	6	deep	deep	ADJ
cana-3242	348	7	learning	learning	NOUN
cana-3242	348	8	model	model	NOUN
cana-3242	348	9	for	for	ADP
cana-3242	348	10	early	early	ADJ
cana-3242	348	11	detection	detection	NOUN
cana-3242	348	12	of	of	ADP
cana-3242	348	13	cancer	cancer	NOUN
cana-3242	348	14	.	.	PUNCT
cana-3242	348	15	"	"	PUNCT
cana-3242	349	1	in	in	ADP
cana-3242	349	2	2023	2023	NUM
cana-3242	349	3	31st	31st	NOUN
cana-3242	349	4	euromicro	euromicro	ADJ
cana-3242	349	5	international	international	ADJ
cana-3242	349	6	conference	conference	NOUN
cana-3242	349	7	on	on	ADP
cana-3242	349	8	parallel	parallel	NOUN
cana-3242	349	9	,	,	PUNCT
cana-3242	349	10	distributed	distribute	VERB
cana-3242	349	11	and	and	CCONJ
cana-3242	349	12	network	network	NOUN
cana-3242	349	13	-based	-base	VERB
cana-3242	349	14	processing	processing	NOUN
cana-3242	349	15	(	(	PUNCT
cana-3242	349	16	pdp	pdp	PROPN
cana-3242	349	17	)	)	PUNCT
cana-3242	349	18	,	,	PUNCT
cana-3242	349	19	pp	pp	ADJ
cana-3242	349	20	.	.	PUNCT
cana-3242	350	1	252	252	NUM
cana-3242	350	2	-	-	SYM
cana-3242	350	3	257	257	NUM
cana-3242	350	4	.	.	PUNCT
cana-3242	350	5	ieee	ieee	NOUN
cana-3242	350	6	,	,	PUNCT
cana-3242	350	7	2023	2023	NUM
cana-3242	350	8	.	.	PUNCT
cana-3242	351	1	[	[	X
cana-3242	351	2	15	15	NUM
cana-3242	351	3	]	]	X
cana-3242	351	4	robles	roble	NOUN
cana-3242	351	5	,	,	PUNCT
cana-3242	351	6	edgar	edgar	PROPN
cana-3242	351	7	e.	e.	PROPN
cana-3242	351	8	,	,	PUNCT
cana-3242	351	9	ye	ye	PROPN
cana-3242	351	10	jin	jin	NOUN
cana-3242	351	11	,	,	PUNCT
cana-3242	351	12	padhraic	padhraic	PROPN
cana-3242	351	13	smyth	smyth	PROPN
cana-3242	351	14	,	,	PUNCT
cana-3242	351	15	richard	richard	PROPN
cana-3242	351	16	h.	h.	PROPN
cana-3242	351	17	scheuermann	scheuermann	PROPN
cana-3242	351	18	,	,	PUNCT
cana-3242	351	19	jack	jack	PROPN
cana-3242	351	20	d.	d.	PROPN
cana-3242	351	21	bui	bui	PROPN
cana-3242	351	22	,	,	PUNCT
cana-3242	351	23	huan	huan	PROPN
cana-3242	351	24	-you	-you	PROPN
cana-3242	351	25	wang	wang	PROPN
cana-3242	351	26	,	,	PUNCT
cana-3242	351	27	jean	jean	PROPN
cana-3242	351	28	oak	oak	PROPN
cana-3242	351	29	,	,	PUNCT
cana-3242	351	30	and	and	CCONJ
cana-3242	351	31	yu	yu	PROPN
cana-3242	351	32	qian	qian	PROPN
cana-3242	351	33	.	.	PUNCT
cana-3242	352	1	"	"	PUNCT
cana-3242	352	2	a	a	DET
cana-3242	352	3	cell	cell	NOUN
cana-3242	352	4	-	-	PUNCT
cana-3242	352	5	level	level	NOUN
cana-3242	352	6	discriminative	discriminative	NOUN
cana-3242	352	7	neural	neural	ADJ
cana-3242	352	8	network	network	NOUN
cana-3242	352	9	model	model	NOUN
cana-3242	352	10	for	for	ADP
cana-3242	352	11	diagnosis	diagnosis	NOUN
cana-3242	352	12	of	of	ADP
cana-3242	352	13	blood	blood	NOUN
cana-3242	352	14	cancers	cancer	NOUN
cana-3242	352	15	.	.	PUNCT
cana-3242	352	16	"	"	PUNCT
cana-3242	353	1	bioinformatics	bioinformatics	NOUN
cana-3242	353	2	39	39	NUM
cana-3242	353	3	,	,	PUNCT
cana-3242	353	4	no	no	INTJ
cana-3242	353	5	.	.	NOUN
cana-3242	353	6	10	10	NUM
cana-3242	353	7	(	(	PUNCT
cana-3242	353	8	2023	2023	NUM
cana-3242	353	9	):	):	PUNCT
cana-3242	353	10	btad585	btad585	VERB
cana-3242	353	11	.	.	PUNCT
cana-3242	354	1	[	[	X
cana-3242	354	2	16	16	NUM
cana-3242	354	3	]	]	X
cana-3242	354	4	koreddi	koreddi	PROPN
cana-3242	354	5	,	,	PUNCT
cana-3242	354	6	venkatesh	venkatesh	PROPN
cana-3242	354	7	,	,	PUNCT
cana-3242	354	8	av	av	PROPN
cana-3242	354	9	ravi	ravi	PROPN
cana-3242	354	10	kumar	kumar	PROPN
cana-3242	354	11	,	,	PUNCT
cana-3242	354	12	kshatriya	kshatriya	PROPN
cana-3242	354	13	vinaya	vinaya	PROPN
cana-3242	354	14	sree	sree	PROPN
cana-3242	354	15	bai	bai	PROPN
cana-3242	354	16	,	,	PUNCT
cana-3242	354	17	and	and	CCONJ
cana-3242	354	18	siva	siva	PROPN
cana-3242	354	19	ramakrishna	ramakrishna	PROPN
cana-3242	354	20	sani	sani	PROPN
cana-3242	354	21	.	.	PUNCT
cana-3242	355	1	"	"	PUNCT
cana-3242	355	2	early	early	ADJ
cana-3242	355	3	cancer	cancer	NOUN
cana-3242	355	4	detection	detection	NOUN
cana-3242	355	5	through	through	ADP
cana-3242	355	6	deep	deep	ADJ
cana-3242	355	7	learning	learning	NOUN
cana-3242	355	8	analysis	analysis	NOUN
cana-3242	355	9	of	of	ADP
cana-3242	355	10	ct	ct	NUM
cana-3242	355	11	scan	scan	ADJ
cana-3242	355	12	imagery	imagery	NOUN
cana-3242	355	13	.	.	PUNCT
cana-3242	355	14	"	"	PUNCT
cana-3242	356	1	in	in	ADP
cana-3242	356	2	2024	2024	NUM
cana-3242	356	3	5th	5th	ADJ
cana-3242	356	4	international	international	ADJ
cana-3242	356	5	conference	conference	NOUN
cana-3242	356	6	on	on	ADP
cana-3242	356	7	image	image	NOUN
cana-3242	356	8	processing	processing	NOUN
cana-3242	356	9	and	and	CCONJ
cana-3242	356	10	capsule	capsule	NOUN
cana-3242	356	11	networks	network	NOUN
cana-3242	356	12	(	(	PUNCT
cana-3242	356	13	icipcn	icipcn	INTJ
cana-3242	356	14	)	)	PUNCT
cana-3242	356	15	,	,	PUNCT
cana-3242	356	16	pp	pp	PROPN
cana-3242	356	17	.	.	PUNCT
cana-3242	357	1	430	430	NUM
cana-3242	357	2	-	-	SYM
cana-3242	357	3	433	433	NUM
cana-3242	357	4	.	.	PUNCT
cana-3242	358	1	ieee	ieee	NOUN
cana-3242	358	2	,	,	PUNCT
cana-3242	358	3	2024	2024	NUM
cana-3242	358	4	.	.	PUNCT
cana-3242	359	1	[	[	X
cana-3242	359	2	17	17	NUM
cana-3242	359	3	]	]	PUNCT
cana-3242	359	4	uthamacumaran	uthamacumaran	ADJ
cana-3242	359	5	,	,	PUNCT
cana-3242	359	6	abicumaran	abicumaran	NOUN
cana-3242	359	7	,	,	PUNCT
cana-3242	359	8	mohamed	mohamed	PROPN
cana-3242	359	9	abdouh	abdouh	PROPN
cana-3242	359	10	,	,	PUNCT
cana-3242	359	11	kinshuk	kinshuk	PROPN
cana-3242	359	12	sengupta	sengupta	NOUN
cana-3242	359	13	,	,	PUNCT
cana-3242	359	14	zu	zu	NOUN
cana-3242	359	15	-hua	-hua	PUNCT
cana-3242	359	16	gao	gao	PROPN
cana-3242	359	17	,	,	PUNCT
cana-3242	359	18	stefano	stefano	PROPN
cana-3242	359	19	forte	forte	NOUN
cana-3242	359	20	,	,	PUNCT
cana-3242	359	21	thupten	thupten	VERB
cana-3242	359	22	tsering	tsering	NOUN
cana-3242	359	23	,	,	PUNCT
cana-3242	359	24	julia	julia	PROPN
cana-3242	359	25	v.	v.	ADP
cana-3242	359	26	burnier	burnier	NOUN
cana-3242	359	27	,	,	PUNCT
cana-3242	359	28	and	and	CCONJ
cana-3242	359	29	goffredo	goffredo	PROPN
cana-3242	359	30	arena	arena	NOUN
cana-3242	359	31	.	.	PUNCT
cana-3242	360	1	"	"	PUNCT
cana-3242	360	2	machine	machine	NOUN
cana-3242	360	3	intelligence	intelligence	NOUN
cana-3242	360	4	-	-	PUNCT
cana-3242	360	5	driven	drive	VERB
cana-3242	360	6	classification	classification	NOUN
cana-3242	360	7	of	of	ADP
cana-3242	360	8	cancer	cancer	NOUN
cana-3242	360	9	patients	patient	NOUN
cana-3242	360	10	-	-	PUNCT
cana-3242	360	11	derived	derive	VERB
cana-3242	360	12	extracellular	extracellular	ADJ
cana-3242	360	13	vesicles	vesicle	NOUN
cana-3242	360	14	using	use	VERB
cana-3242	360	15	fluorescence	fluorescence	NOUN
cana-3242	360	16	correlation	correlation	NOUN
cana-3242	360	17	spectroscopy	spectroscopy	NOUN
cana-3242	360	18	:	:	PUNCT
cana-3242	360	19	results	result	NOUN
cana-3242	360	20	from	from	ADP
cana-3242	360	21	a	a	DET
cana-3242	360	22	pilot	pilot	NOUN
cana-3242	360	23	study	study	NOUN
cana-3242	360	24	.	.	PUNCT
cana-3242	360	25	"	"	PUNCT
cana-3242	360	26	neural	neural	ADJ
cana-3242	360	27	computing	computing	NOUN
cana-3242	360	28	and	and	CCONJ
cana-3242	360	29	applications	application	NOUN
cana-3242	360	30	35	35	NUM
cana-3242	360	31	,	,	PUNCT
cana-3242	360	32	no	no	NOUN
cana-3242	360	33	.	.	NOUN
cana-3242	360	34	11	11	NUM
cana-3242	360	35	(	(	PUNCT
cana-3242	360	36	2023	2023	NUM
cana-3242	360	37	):	):	PUNCT
cana-3242	360	38	8407	8407	NUM
cana-3242	360	39	-	-	SYM
cana-3242	360	40	8422	8422	NUM
cana-3242	360	41	.	.	PUNCT
cana-3242	361	1	[	[	X
cana-3242	361	2	18	18	NUM
cana-3242	361	3	]	]	X
cana-3242	361	4	kumar	kumar	PROPN
cana-3242	361	5	,	,	PUNCT
cana-3242	361	6	g.	g.	PROPN
cana-3242	361	7	ravi	ravi	PROPN
cana-3242	361	8	,	,	PUNCT
cana-3242	361	9	shaik	shaik	PROPN
cana-3242	361	10	thasleem	thasleem	PROPN
cana-3242	361	11	bhanu	bhanu	PROPN
cana-3242	361	12	,	,	PUNCT
cana-3242	361	13	m.	m.	NOUN
cana-3242	361	14	lakshmi	lakshmi	PROPN
cana-3242	361	15	prasad	prasad	PROPN
cana-3242	361	16	,	,	PUNCT
cana-3242	361	17	s.	s.	PROPN
cana-3242	361	18	bhargavi	bhargavi	PROPN
cana-3242	361	19	latha	latha	PROPN
cana-3242	361	20	,	,	PUNCT
cana-3242	361	21	gamidelli	gamidelli	PROPN
cana-3242	361	22	yedukondalu	yedukondalu	PROPN
cana-3242	361	23	,	,	PUNCT
cana-3242	361	24	and	and	CCONJ
cana-3242	361	25	pundru	pundru	PROPN
cana-3242	361	26	chandra	chandra	PROPN
cana-3242	361	27	shaker	shaker	PROPN
cana-3242	361	28	reddy	reddy	PROPN
cana-3242	361	29	.	.	PUNCT
cana-3242	362	1	"	"	PUNCT
cana-3242	362	2	an	an	DET
cana-3242	362	3	early	early	ADJ
cana-3242	362	4	cancer	cancer	NOUN
cana-3242	362	5	prediction	prediction	NOUN
cana-3242	362	6	based	base	VERB
cana-3242	362	7	on	on	ADP
cana-3242	362	8	deep	deep	ADJ
cana-3242	362	9	neural	neural	ADJ
cana-3242	362	10	learning	learning	NOUN
cana-3242	362	11	.	.	PUNCT
cana-3242	362	12	"	"	PUNCT
cana-3242	363	1	in	in	ADP
cana-3242	363	2	2023	2023	NUM
cana-3242	363	3	international	international	ADJ
cana-3242	363	4	conference	conference	NOUN
cana-3242	363	5	on	on	ADP
cana-3242	363	6	research	research	NOUN
cana-3242	363	7	methodologies	methodology	NOUN
cana-3242	363	8	in	in	ADP
cana-3242	363	9	knowledge	knowledge	NOUN
cana-3242	363	10	management	management	NOUN
cana-3242	363	11	,	,	PUNCT
cana-3242	363	12	artificial	artificial	ADJ
cana-3242	363	13	intelligence	intelligence	NOUN
cana-3242	363	14	and	and	CCONJ
cana-3242	363	15	telecommunication	telecommunication	NOUN
cana-3242	363	16	engineering	engineering	NOUN
cana-3242	363	17	(	(	PUNCT
cana-3242	363	18	rmkmate	rmkmate	NOUN
cana-3242	363	19	)	)	PUNCT
cana-3242	363	20	,	,	PUNCT
cana-3242	363	21	pp	pp	ADJ
cana-3242	363	22	.	.	PUNCT
cana-3242	364	1	1	1	NUM
cana-3242	364	2	-	-	SYM
cana-3242	364	3	7	7	NUM
cana-3242	364	4	.	.	PUNCT
cana-3242	364	5	ieee	ieee	NOUN
cana-3242	364	6	,	,	PUNCT
cana-3242	364	7	2023	2023	NUM
cana-3242	364	8	.	.	PUNCT
cana-3242	365	1	[	[	X
cana-3242	365	2	19	19	NUM
cana-3242	365	3	]	]	X
cana-3242	365	4	tanabe	tanabe	PROPN
cana-3242	365	5	,	,	PUNCT
cana-3242	365	6	shihori	shihori	PROPN
cana-3242	365	7	.	.	PUNCT
cana-3242	366	1	"	"	PUNCT
cana-3242	366	2	cancer	cancer	NOUN
cana-3242	366	3	recognition	recognition	NOUN
cana-3242	366	4	of	of	ADP
cana-3242	366	5	artificial	artificial	ADJ
cana-3242	366	6	intelligence	intelligence	NOUN
cana-3242	366	7	.	.	PUNCT
cana-3242	366	8	"	"	PUNCT
cana-3242	367	1	artificial	artificial	ADJ
cana-3242	367	2	intelligence	intelligence	NOUN
cana-3242	367	3	in	in	ADP
cana-3242	367	4	cancer	cancer	NOUN
cana-3242	367	5	2	2	NUM
cana-3242	367	6	,	,	PUNCT
cana-3242	367	7	no	no	INTJ
cana-3242	367	8	.	.	NOUN
cana-3242	367	9	1	1	NUM
cana-3242	367	10	(	(	PUNCT
cana-3242	367	11	2021	2021	NUM
cana-3242	367	12	):	):	PUNCT
cana-3242	367	13	1	1	NUM
cana-3242	367	14	-6	-6	NOUN
cana-3242	367	15	.	.	PUNCT
cana-3242	368	1	[	[	X
cana-3242	368	2	20	20	NUM
cana-3242	368	3	]	]	X
cana-3242	368	4	jaiswal	jaiswal	PROPN
cana-3242	368	5	,	,	PUNCT
cana-3242	368	6	aditi	aditi	PROPN
cana-3242	368	7	.	.	PUNCT
cana-3242	369	1	"	"	PUNCT
cana-3242	369	2	the	the	DET
cana-3242	369	3	enigma	enigma	NOUN
cana-3242	369	4	of	of	ADP
cana-3242	369	5	blood	blood	NOUN
cana-3242	369	6	cancer	cancer	NOUN
cana-3242	369	7	:	:	PUNCT
cana-3242	369	8	advances	advance	NOUN
cana-3242	369	9	in	in	ADP
cana-3242	369	10	detection	detection	NOUN
cana-3242	369	11	"	"	PUNCT
cana-3242	369	12	.	.	PUNCT
cana-3242	370	1	interantional	interantional	ADJ
cana-3242	370	2	journal	journal	NOUN
cana-3242	370	3	of	of	ADP
cana-3242	370	4	scientific	scientific	ADJ
cana-3242	370	5	research	research	NOUN
cana-3242	370	6	in	in	ADP
cana-3242	370	7	engineering	engineering	NOUN
cana-3242	370	8	and	and	CCONJ
cana-3242	370	9	management	management	NOUN
cana-3242	370	10	,	,	PUNCT
cana-3242	370	11	2024	2024	NUM
cana-3242	370	12	,	,	PUNCT
cana-3242	370	13	08	08	NUM
cana-3242	370	14	,	,	PUNCT
cana-3242	370	15	12	12	NUM
cana-3242	370	16	,	,	PUNCT
cana-3242	370	17	1	1	NUM
cana-3242	370	18	-	-	SYM
cana-3242	370	19	5	5	NUM
cana-3242	370	20	,	,	PUNCT
cana-3242	370	21	10.55041	10.55041	NUM
cana-3242	370	22	/	/	SYM
cana-3242	370	23	ijsrem32643	ijsrem32643	PROPN
cana-3242	370	24	.	.	PUNCT
cana-3242	371	1	[	[	X
cana-3242	371	2	21	21	NUM
cana-3242	371	3	]	]	X
cana-3242	371	4	iqbal	iqbal	PROPN
cana-3242	371	5	,	,	PUNCT
cana-3242	371	6	muhammad	muhammad	PROPN
cana-3242	371	7	javed	javed	PROPN
cana-3242	371	8	,	,	PUNCT
cana-3242	371	9	zeeshan	zeeshan	PROPN
cana-3242	371	10	javed	javed	PROPN
cana-3242	371	11	,	,	PUNCT
cana-3242	371	12	haleema	haleema	ADJ
cana-3242	371	13	sadia	sadia	PROPN
cana-3242	371	14	,	,	PUNCT
cana-3242	371	15	ijaz	ijaz	PROPN
cana-3242	371	16	a.	a.	PROPN
cana-3242	371	17	qureshi	qureshi	PROPN
cana-3242	371	18	,	,	PUNCT
cana-3242	371	19	asma	asma	PROPN
cana-3242	371	20	irshad	irshad	PROPN
cana-3242	371	21	,	,	PUNCT
cana-3242	371	22	rais	rais	PROPN
cana-3242	371	23	ahmed	ahmed	PROPN
cana-3242	371	24	,	,	PUNCT
cana-3242	371	25	kausar	kausar	VERB
cana-3242	371	26	malik	malik	PROPN
cana-3242	371	27	et	et	PROPN
cana-3242	371	28	al	al	PROPN
cana-3242	371	29	.	.	PUNCT
cana-3242	372	1	"	"	PUNCT
cana-3242	372	2	clinical	clinical	ADJ
cana-3242	372	3	applications	application	NOUN
cana-3242	372	4	of	of	ADP
cana-3242	372	5	artificial	artificial	ADJ
cana-3242	372	6	intelligence	intelligence	NOUN
cana-3242	372	7	and	and	CCONJ
cana-3242	372	8	machine	machine	NOUN
cana-3242	372	9	learning	learning	NOUN
cana-3242	372	10	in	in	ADP
cana-3242	372	11	cancer	cancer	NOUN
cana-3242	372	12	diagnosis	diagnosis	NOUN
cana-3242	372	13	:	:	PUNCT
cana-3242	372	14	looking	look	VERB
cana-3242	372	15	into	into	ADP
cana-3242	372	16	the	the	DET
cana-3242	372	17	future	future	NOUN
cana-3242	372	18	.	.	PUNCT
cana-3242	372	19	"	"	PUNCT
cana-3242	373	1	cancer	cancer	NOUN
cana-3242	373	2	cell	cell	NOUN
cana-3242	373	3	international	international	ADJ
cana-3242	373	4	21	21	NUM
cana-3242	373	5	,	,	PUNCT
cana-3242	373	6	no	no	INTJ
cana-3242	373	7	.	.	NOUN
cana-3242	373	8	1	1	NUM
cana-3242	373	9	(	(	PUNCT
cana-3242	373	10	2021	2021	NUM
cana-3242	373	11	):	):	PUNCT
cana-3242	373	12	270	270	NUM
cana-3242	373	13	.	.	PUNCT
cana-3242	374	1	[	[	X
cana-3242	374	2	22	22	NUM
cana-3242	374	3	]	]	SYM
cana-3242	374	4	ferdous	ferdous	ADJ
cana-3242	374	5	,	,	PUNCT
cana-3242	374	6	munira	munira	PROPN
cana-3242	374	7	,	,	PUNCT
cana-3242	374	8	jui	jui	ADJ
cana-3242	374	9	debnath	debnath	NOUN
cana-3242	374	10	,	,	PUNCT
cana-3242	374	11	and	and	CCONJ
cana-3242	374	12	narayan	narayan	PROPN
cana-3242	374	13	ranjan	ranjan	PROPN
cana-3242	374	14	chakraborty	chakraborty	PROPN
cana-3242	374	15	.	.	PUNCT
cana-3242	375	1	"	"	PUNCT
cana-3242	375	2	machine	machine	NOUN
cana-3242	375	3	learning	learn	VERB
cana-3242	375	4	algorithms	algorithm	NOUN
cana-3242	375	5	in	in	ADP
cana-3242	375	6	healthcare	healthcare	PROPN
cana-3242	375	7	:	:	PUNCT
cana-3242	375	8	a	a	DET
cana-3242	375	9	literature	literature	NOUN
cana-3242	375	10	survey	survey	NOUN
cana-3242	375	11	.	.	PUNCT
cana-3242	375	12	"	"	PUNCT
cana-3242	376	1	in	in	ADP
cana-3242	376	2	2020	2020	NUM
cana-3242	376	3	11th	11th	ADJ
cana-3242	376	4	international	international	ADJ
cana-3242	376	5	conference	conference	NOUN
cana-3242	376	6	on	on	ADP
cana-3242	376	7	computing	computing	NOUN
cana-3242	376	8	,	,	PUNCT
cana-3242	376	9	communication	communication	NOUN
cana-3242	376	10	and	and	CCONJ
cana-3242	376	11	networking	networking	NOUN
cana-3242	376	12	technologies	technology	NOUN
cana-3242	376	13	(	(	PUNCT
cana-3242	376	14	icccnt	icccnt	ADJ
cana-3242	376	15	)	)	PUNCT
cana-3242	376	16	,	,	PUNCT
cana-3242	376	17	pp	pp	PROPN
cana-3242	376	18	.	.	PUNCT
cana-3242	377	1	1	1	NUM
cana-3242	377	2	-	-	SYM
cana-3242	377	3	6	6	NUM
cana-3242	377	4	.	.	PUNCT
cana-3242	377	5	ieee	ieee	NOUN
cana-3242	377	6	,	,	PUNCT
cana-3242	377	7	2020	2020	NUM
cana-3242	377	8	.	.	PUNCT
cana-3242	378	1	[	[	X
cana-3242	378	2	23	23	NUM
cana-3242	378	3	]	]	X
cana-3242	378	4	matthews	matthews	PROPN
cana-3242	378	5	,	,	PUNCT
cana-3242	378	6	paul	paul	PROPN
cana-3242	378	7	m.	m.	NOUN
cana-3242	378	8	,	,	PUNCT
cana-3242	378	9	and	and	CCONJ
cana-3242	378	10	cathie	cathie	PROPN
cana-3242	378	11	sudlow	sudlow	PROPN
cana-3242	378	12	.	.	PUNCT
cana-3242	379	1	"	"	PUNCT
cana-3242	379	2	the	the	DET
cana-3242	379	3	uk	uk	PROPN
cana-3242	379	4	biobank	biobank	NOUN
cana-3242	379	5	.	.	PUNCT
cana-3242	379	6	"	"	PUNCT
cana-3242	380	1	brain	brain	NOUN
cana-3242	380	2	138	138	NUM
cana-3242	380	3	,	,	PUNCT
cana-3242	380	4	no	no	INTJ
cana-3242	380	5	.	.	NOUN
cana-3242	380	6	12	12	NUM
cana-3242	380	7	(	(	PUNCT
cana-3242	380	8	2015	2015	NUM
cana-3242	380	9	):	):	PUNCT
cana-3242	380	10	3463	3463	NUM
cana-3242	380	11	-	-	SYM
cana-3242	380	12	3465	3465	NUM
cana-3242	380	13	,	,	PUNCT
cana-3242	380	14	https://www.ukbiobank.ac.uk/.	https://www.ukbiobank.ac.uk/.	PROPN