id	sid	tid	token	lemma	pos
ajst-27301	1	1	academic	academic	ADJ
ajst-27301	1	2	journal	journal	NOUN
ajst-27301	1	3	of	of	ADP
ajst-27301	1	4	science	science	NOUN
ajst-27301	1	5	and	and	CCONJ
ajst-27301	1	6	technology	technology	NOUN
ajst-27301	1	7	issn	issn	NOUN
ajst-27301	1	8	:	:	PUNCT
ajst-27301	1	9	2771	2771	NUM
ajst-27301	1	10	-	-	SYM
ajst-27301	1	11	3032	3032	NUM
ajst-27301	1	12	|	|	NOUN
ajst-27301	1	13	vol	vol	NOUN
ajst-27301	1	14	.	.	PROPN
ajst-27301	1	15	13	13	NUM
ajst-27301	1	16	,	,	PUNCT
ajst-27301	1	17	no	no	INTJ
ajst-27301	1	18	.	.	NOUN
ajst-27301	1	19	2	2	NUM
ajst-27301	1	20	,	,	PUNCT
ajst-27301	1	21	2024	2024	NUM
ajst-27301	1	22	23	23	NUM
ajst-27301	1	23	accurate	accurate	ADJ
ajst-27301	1	24	differential	differential	ADJ
ajst-27301	1	25	diagnosis	diagnosis	NOUN
ajst-27301	1	26	of	of	ADP
ajst-27301	1	27	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	1	28	phenotype	phenotype	NOUN
ajst-27301	1	29	based	base	VERB
ajst-27301	1	30	on	on	ADP
ajst-27301	1	31	multimodal	multimodal	NOUN
ajst-27301	1	32	ai	ai	VERB
ajst-27301	1	33	technology	technology	NOUN
ajst-27301	1	34	yunxia	yunxia	PROPN
ajst-27301	1	35	yu1	yu1	PROPN
ajst-27301	1	36	,	,	PUNCT
ajst-27301	1	37	a	a	PRON
ajst-27301	1	38	,	,	PUNCT
ajst-27301	1	39	xu	xu	PROPN
ajst-27301	2	1	ling2	ling2	PROPN
ajst-27301	2	2	,	,	PUNCT
ajst-27301	2	3	b	b	PROPN
ajst-27301	2	4	,	,	PUNCT
ajst-27301	2	5	zhou	zhou	PROPN
ajst-27301	2	6	xiong2	xiong2	PROPN
ajst-27301	2	7	,	,	PUNCT
ajst-27301	2	8	c	c	X
ajst-27301	2	9	,	,	PUNCT
ajst-27301	2	10	fan	fan	PROPN
ajst-27301	2	11	yang1	yang1	PROPN
ajst-27301	2	12	,	,	PUNCT
ajst-27301	3	1	d	d	PROPN
ajst-27301	3	2	1school	1school	NUM
ajst-27301	3	3	of	of	ADP
ajst-27301	3	4	artificial	artificial	ADJ
ajst-27301	3	5	intelligence	intelligence	NOUN
ajst-27301	3	6	,	,	PUNCT
ajst-27301	3	7	jingchu	jingchu	PROPN
ajst-27301	3	8	university	university	PROPN
ajst-27301	3	9	of	of	ADP
ajst-27301	3	10	technology&computer	technology&computer	NOUN
ajst-27301	3	11	science	science	NOUN
ajst-27301	3	12	and	and	CCONJ
ajst-27301	3	13	technology	technology	NOUN
ajst-27301	3	14	,	,	PUNCT
ajst-27301	3	15	jingmen	jingman	NOUN
ajst-27301	3	16	,	,	PUNCT
ajst-27301	3	17	hubei	hubei	PROPN
ajst-27301	3	18	,	,	PUNCT
ajst-27301	3	19	448000	448000	NUM
ajst-27301	3	20	,	,	PUNCT
ajst-27301	3	21	china	china	PROPN
ajst-27301	3	22	2shayang	2shayang	NUM
ajst-27301	3	23	people	people	NOUN
ajst-27301	3	24	's	's	PART
ajst-27301	3	25	hospital&medical	hospital&medical	ADJ
ajst-27301	3	26	imaging	imaging	NOUN
ajst-27301	3	27	,	,	PUNCT
ajst-27301	3	28	jingmen	jingman	NOUN
ajst-27301	3	29	,	,	PUNCT
ajst-27301	3	30	hubei	hubei	PROPN
ajst-27301	3	31	,	,	PUNCT
ajst-27301	3	32	448200	448200	NUM
ajst-27301	3	33	,	,	PUNCT
ajst-27301	3	34	china	china	PROPN
ajst-27301	3	35	a837133720@qq.com	a837133720@qq.com	PROPN
ajst-27301	3	36	,	,	PUNCT
ajst-27301	3	37	b997904633@qq.com	b997904633@qq.com	X
ajst-27301	3	38	,	,	PUNCT
ajst-27301	3	39	c523421429@qq.com	c523421429@qq.com	PROPN
ajst-27301	3	40	,	,	PUNCT
ajst-27301	3	41	d2022409020149@jcut.edu.cn	d2022409020149@jcut.edu.cn	X
ajst-27301	3	42	abstract	abstract	NOUN
ajst-27301	3	43	:	:	PUNCT
ajst-27301	3	44	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	3	45	is	be	AUX
ajst-27301	3	46	a	a	DET
ajst-27301	3	47	group	group	NOUN
ajst-27301	3	48	of	of	ADP
ajst-27301	3	49	diseases	disease	NOUN
ajst-27301	3	50	involving	involve	VERB
ajst-27301	3	51	the	the	DET
ajst-27301	3	52	heart	heart	NOUN
ajst-27301	3	53	muscle	muscle	NOUN
ajst-27301	3	54	,	,	PUNCT
ajst-27301	3	55	mainly	mainly	ADV
ajst-27301	3	56	manifested	manifest	VERB
ajst-27301	3	57	by	by	ADP
ajst-27301	3	58	the	the	DET
ajst-27301	3	59	abnormality	abnormality	NOUN
ajst-27301	3	60	of	of	ADP
ajst-27301	3	61	the	the	DET
ajst-27301	3	62	structure	structure	NOUN
ajst-27301	3	63	and	and	CCONJ
ajst-27301	3	64	function	function	NOUN
ajst-27301	3	65	of	of	ADP
ajst-27301	3	66	the	the	DET
ajst-27301	3	67	heart	heart	NOUN
ajst-27301	3	68	muscle	muscle	NOUN
ajst-27301	3	69	.	.	PUNCT
ajst-27301	4	1	according	accord	VERB
ajst-27301	4	2	to	to	ADP
ajst-27301	4	3	etiology	etiology	NOUN
ajst-27301	4	4	and	and	CCONJ
ajst-27301	4	5	pathological	pathological	ADJ
ajst-27301	4	6	characteristics	characteristic	NOUN
ajst-27301	4	7	,	,	PUNCT
ajst-27301	4	8	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	9	can	can	AUX
ajst-27301	4	10	be	be	AUX
ajst-27301	4	11	divided	divide	VERB
ajst-27301	4	12	into	into	ADP
ajst-27301	4	13	various	various	ADJ
ajst-27301	4	14	types	type	NOUN
ajst-27301	4	15	,	,	PUNCT
ajst-27301	4	16	including	include	VERB
ajst-27301	4	17	hypertrophic	hypertrophic	ADJ
ajst-27301	4	18	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	19	(	(	PUNCT
ajst-27301	4	20	hcm	hcm	PROPN
ajst-27301	4	21	)	)	PUNCT
ajst-27301	4	22	,	,	PUNCT
ajst-27301	4	23	dilated	dilate	VERB
ajst-27301	4	24	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	25	(	(	PUNCT
ajst-27301	4	26	dcm	dcm	PROPN
ajst-27301	4	27	)	)	PUNCT
ajst-27301	4	28	,	,	PUNCT
ajst-27301	4	29	arrhythmogenic	arrhythmogenic	ADJ
ajst-27301	4	30	right	right	ADJ
ajst-27301	4	31	ventricular	ventricular	ADJ
ajst-27301	4	32	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	33	(	(	PUNCT
ajst-27301	4	34	arvc	arvc	NOUN
ajst-27301	4	35	)	)	PUNCT
ajst-27301	4	36	,	,	PUNCT
ajst-27301	4	37	non	non	ADJ
ajst-27301	4	38	-	-	ADJ
ajst-27301	4	39	dilated	dilated	ADJ
ajst-27301	4	40	left	left	ADJ
ajst-27301	4	41	ventricular	ventricular	ADJ
ajst-27301	4	42	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	43	(	(	PUNCT
ajst-27301	4	44	ndlvc	ndlvc	ADJ
ajst-27301	4	45	)	)	PUNCT
ajst-27301	4	46	and	and	CCONJ
ajst-27301	4	47	restrictive	restrictive	ADJ
ajst-27301	4	48	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	4	49	(	(	PUNCT
ajst-27301	4	50	rcm	rcm	PROPN
ajst-27301	4	51	)	)	PUNCT
ajst-27301	4	52	.	.	PUNCT
ajst-27301	5	1	these	these	DET
ajst-27301	5	2	different	different	ADJ
ajst-27301	5	3	types	type	NOUN
ajst-27301	5	4	of	of	ADP
ajst-27301	5	5	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	5	6	differ	differ	VERB
ajst-27301	5	7	significantly	significantly	ADV
ajst-27301	5	8	in	in	ADP
ajst-27301	5	9	clinical	clinical	ADJ
ajst-27301	5	10	presentation	presentation	NOUN
ajst-27301	5	11	,	,	PUNCT
ajst-27301	5	12	pathophysiological	pathophysiological	ADJ
ajst-27301	5	13	mechanisms	mechanism	NOUN
ajst-27301	5	14	,	,	PUNCT
ajst-27301	5	15	and	and	CCONJ
ajst-27301	5	16	treatment	treatment	NOUN
ajst-27301	5	17	strategies	strategy	NOUN
ajst-27301	5	18	,	,	PUNCT
ajst-27301	5	19	so	so	ADV
ajst-27301	5	20	accurately	accurately	ADV
ajst-27301	5	21	differentiating	differentiate	VERB
ajst-27301	5	22	the	the	DET
ajst-27301	5	23	different	different	ADJ
ajst-27301	5	24	phenotypes	phenotype	NOUN
ajst-27301	5	25	of	of	ADP
ajst-27301	5	26	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	5	27	is	be	AUX
ajst-27301	5	28	critical	critical	ADJ
ajst-27301	5	29	to	to	ADP
ajst-27301	5	30	developing	develop	VERB
ajst-27301	5	31	a	a	DET
ajst-27301	5	32	personalized	personalized	ADJ
ajst-27301	5	33	treatment	treatment	NOUN
ajst-27301	5	34	plan	plan	NOUN
ajst-27301	5	35	.	.	PUNCT
ajst-27301	6	1	however	however	ADV
ajst-27301	6	2	,	,	PUNCT
ajst-27301	6	3	traditional	traditional	ADJ
ajst-27301	6	4	diagnostic	diagnostic	ADJ
ajst-27301	6	5	methods	method	NOUN
ajst-27301	6	6	such	such	ADJ
ajst-27301	6	7	as	as	ADP
ajst-27301	6	8	electrocardiogram	electrocardiogram	NOUN
ajst-27301	6	9	(	(	PUNCT
ajst-27301	6	10	ecg	ecg	PROPN
ajst-27301	6	11	)	)	PUNCT
ajst-27301	6	12	,	,	PUNCT
ajst-27301	6	13	echocardiography	echocardiography	NOUN
ajst-27301	6	14	,	,	PUNCT
ajst-27301	6	15	magnetic	magnetic	ADJ
ajst-27301	6	16	resonance	resonance	NOUN
ajst-27301	6	17	imaging	imaging	NOUN
ajst-27301	6	18	(	(	PUNCT
ajst-27301	6	19	mri	mri	NOUN
ajst-27301	6	20	)	)	PUNCT
ajst-27301	6	21	and	and	CCONJ
ajst-27301	6	22	genetic	genetic	ADJ
ajst-27301	6	23	testing	testing	NOUN
ajst-27301	6	24	,	,	PUNCT
ajst-27301	6	25	while	while	SCONJ
ajst-27301	6	26	able	able	ADJ
ajst-27301	6	27	to	to	PART
ajst-27301	6	28	provide	provide	VERB
ajst-27301	6	29	useful	useful	ADJ
ajst-27301	6	30	information	information	NOUN
ajst-27301	6	31	to	to	ADP
ajst-27301	6	32	a	a	DET
ajst-27301	6	33	certain	certain	ADJ
ajst-27301	6	34	extent	extent	NOUN
ajst-27301	6	35	,	,	PUNCT
ajst-27301	6	36	still	still	ADV
ajst-27301	6	37	have	have	VERB
ajst-27301	6	38	limitations	limitation	NOUN
ajst-27301	6	39	in	in	ADP
ajst-27301	6	40	complex	complex	ADJ
ajst-27301	6	41	cases	case	NOUN
ajst-27301	6	42	and	and	CCONJ
ajst-27301	6	43	can	can	AUX
ajst-27301	6	44	lead	lead	VERB
ajst-27301	6	45	to	to	ADP
ajst-27301	6	46	misdiagnosis	misdiagnosis	NOUN
ajst-27301	6	47	or	or	CCONJ
ajst-27301	6	48	missed	miss	VERB
ajst-27301	6	49	diagnosis	diagnosis	NOUN
ajst-27301	6	50	.	.	PUNCT
ajst-27301	7	1	in	in	ADP
ajst-27301	7	2	order	order	NOUN
ajst-27301	7	3	to	to	PART
ajst-27301	7	4	overcome	overcome	VERB
ajst-27301	7	5	the	the	DET
ajst-27301	7	6	limitations	limitation	NOUN
ajst-27301	7	7	of	of	ADP
ajst-27301	7	8	traditional	traditional	ADJ
ajst-27301	7	9	diagnostic	diagnostic	ADJ
ajst-27301	7	10	methods	method	NOUN
ajst-27301	7	11	and	and	CCONJ
ajst-27301	7	12	improve	improve	VERB
ajst-27301	7	13	the	the	DET
ajst-27301	7	14	ability	ability	NOUN
ajst-27301	7	15	of	of	ADP
ajst-27301	7	16	accurate	accurate	ADJ
ajst-27301	7	17	diagnosis	diagnosis	NOUN
ajst-27301	7	18	of	of	ADP
ajst-27301	7	19	different	different	ADJ
ajst-27301	7	20	phenotypes	phenotype	NOUN
ajst-27301	7	21	of	of	ADP
ajst-27301	7	22	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	7	23	,	,	PUNCT
ajst-27301	7	24	this	this	DET
ajst-27301	7	25	study	study	NOUN
ajst-27301	7	26	developed	develop	VERB
ajst-27301	7	27	a	a	DET
ajst-27301	7	28	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	7	29	phenotypic	phenotypic	ADJ
ajst-27301	7	30	differential	differential	ADJ
ajst-27301	7	31	diagnosis	diagnosis	NOUN
ajst-27301	7	32	system	system	NOUN
ajst-27301	7	33	based	base	VERB
ajst-27301	7	34	on	on	ADP
ajst-27301	7	35	multimodal	multimodal	ADJ
ajst-27301	7	36	artificial	artificial	ADJ
ajst-27301	7	37	intelligence	intelligence	NOUN
ajst-27301	7	38	(	(	PUNCT
ajst-27301	7	39	ai	ai	NOUN
ajst-27301	7	40	)	)	PUNCT
ajst-27301	7	41	technology	technology	NOUN
ajst-27301	7	42	.	.	PUNCT
ajst-27301	8	1	we	we	PRON
ajst-27301	8	2	integrate	integrate	VERB
ajst-27301	8	3	patient	patient	ADJ
ajst-27301	8	4	data	datum	NOUN
ajst-27301	8	5	from	from	ADP
ajst-27301	8	6	multiple	multiple	ADJ
ajst-27301	8	7	centers	center	NOUN
ajst-27301	8	8	,	,	PUNCT
ajst-27301	8	9	including	include	VERB
ajst-27301	8	10	clinical	clinical	ADJ
ajst-27301	8	11	data	datum	NOUN
ajst-27301	8	12	,	,	PUNCT
ajst-27301	8	13	electrocardiograms	electrocardiogram	NOUN
ajst-27301	8	14	(	(	PUNCT
ajst-27301	8	15	ecg	ecg	PROPN
ajst-27301	8	16	)	)	PUNCT
ajst-27301	8	17	,	,	PUNCT
ajst-27301	8	18	echocardiograms	echocardiogram	NOUN
ajst-27301	8	19	,	,	PUNCT
ajst-27301	8	20	magnetic	magnetic	ADJ
ajst-27301	8	21	resonance	resonance	NOUN
ajst-27301	8	22	imaging	imaging	NOUN
ajst-27301	8	23	(	(	PUNCT
ajst-27301	8	24	mri	mri	NOUN
ajst-27301	8	25	)	)	PUNCT
ajst-27301	8	26	,	,	PUNCT
ajst-27301	8	27	and	and	CCONJ
ajst-27301	8	28	genomic	genomic	ADJ
ajst-27301	8	29	data	datum	NOUN
ajst-27301	8	30	,	,	PUNCT
ajst-27301	8	31	standardized	standardized	ADJ
ajst-27301	8	32	and	and	CCONJ
ajst-27301	8	33	pre	pre	VERB
ajst-27301	8	34	-	-	VERB
ajst-27301	8	35	processed	processed	ADJ
ajst-27301	8	36	.	.	PUNCT
ajst-27301	9	1	through	through	ADP
ajst-27301	9	2	machine	machine	NOUN
ajst-27301	9	3	learning	learning	NOUN
ajst-27301	9	4	and	and	CCONJ
ajst-27301	9	5	deep	deep	ADJ
ajst-27301	9	6	learning	learning	NOUN
ajst-27301	9	7	algorithms	algorithm	NOUN
ajst-27301	9	8	,	,	PUNCT
ajst-27301	9	9	multimodal	multimodal	NOUN
ajst-27301	9	10	ai	ai	NOUN
ajst-27301	9	11	models	model	NOUN
ajst-27301	9	12	are	be	AUX
ajst-27301	9	13	constructed	construct	VERB
ajst-27301	9	14	and	and	CCONJ
ajst-27301	9	15	trained	train	VERB
ajst-27301	9	16	using	use	VERB
ajst-27301	9	17	large	large	ADJ
ajst-27301	9	18	-	-	PUNCT
ajst-27301	9	19	scale	scale	NOUN
ajst-27301	9	20	training	training	NOUN
ajst-27301	9	21	data	datum	NOUN
ajst-27301	9	22	sets	set	NOUN
ajst-27301	9	23	.	.	PUNCT
ajst-27301	10	1	the	the	DET
ajst-27301	10	2	accuracy	accuracy	NOUN
ajst-27301	10	3	and	and	CCONJ
ajst-27301	10	4	stability	stability	NOUN
ajst-27301	10	5	of	of	ADP
ajst-27301	10	6	the	the	DET
ajst-27301	10	7	model	model	NOUN
ajst-27301	10	8	in	in	ADP
ajst-27301	10	9	the	the	DET
ajst-27301	10	10	differentiation	differentiation	NOUN
ajst-27301	10	11	of	of	ADP
ajst-27301	10	12	different	different	ADJ
ajst-27301	10	13	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	10	14	phenotypes	phenotype	NOUN
ajst-27301	10	15	were	be	AUX
ajst-27301	10	16	verified	verify	VERB
ajst-27301	10	17	on	on	ADP
ajst-27301	10	18	an	an	DET
ajst-27301	10	19	independent	independent	ADJ
ajst-27301	10	20	data	datum	NOUN
ajst-27301	10	21	set	set	VERB
ajst-27301	10	22	,	,	PUNCT
ajst-27301	10	23	and	and	CCONJ
ajst-27301	10	24	the	the	DET
ajst-27301	10	25	model	model	NOUN
ajst-27301	10	26	parameters	parameter	NOUN
ajst-27301	10	27	were	be	AUX
ajst-27301	10	28	optimized	optimize	VERB
ajst-27301	10	29	according	accord	VERB
ajst-27301	10	30	to	to	ADP
ajst-27301	10	31	the	the	DET
ajst-27301	10	32	verification	verification	NOUN
ajst-27301	10	33	results	result	NOUN
ajst-27301	10	34	to	to	PART
ajst-27301	10	35	improve	improve	VERB
ajst-27301	10	36	the	the	DET
ajst-27301	10	37	generalization	generalization	NOUN
ajst-27301	10	38	ability	ability	NOUN
ajst-27301	10	39	and	and	CCONJ
ajst-27301	10	40	clinical	clinical	ADJ
ajst-27301	10	41	applicability	applicability	NOUN
ajst-27301	10	42	of	of	ADP
ajst-27301	10	43	the	the	DET
ajst-27301	10	44	model	model	NOUN
ajst-27301	10	45	.	.	PUNCT
ajst-27301	11	1	keywords	keyword	NOUN
ajst-27301	11	2	:	:	PUNCT
ajst-27301	11	3	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	11	4	,	,	PUNCT
ajst-27301	11	5	multimodal	multimodal	ADJ
ajst-27301	11	6	ai	ai	NOUN
ajst-27301	11	7	,	,	PUNCT
ajst-27301	11	8	precision	precision	NOUN
ajst-27301	11	9	diagnosis	diagnosis	NOUN
ajst-27301	11	10	,	,	PUNCT
ajst-27301	11	11	deep	deep	ADJ
ajst-27301	11	12	learning	learning	NOUN
ajst-27301	11	13	,	,	PUNCT
ajst-27301	11	14	clinical	clinical	ADJ
ajst-27301	11	15	application	application	NOUN
ajst-27301	11	16	.	.	PUNCT
ajst-27301	12	1	1	1	X
ajst-27301	12	2	.	.	X
ajst-27301	12	3	introduction	introduction	NOUN
ajst-27301	12	4	there	there	PRON
ajst-27301	12	5	are	be	VERB
ajst-27301	12	6	significant	significant	ADJ
ajst-27301	12	7	differences	difference	NOUN
ajst-27301	12	8	in	in	ADP
ajst-27301	12	9	clinical	clinical	ADJ
ajst-27301	12	10	manifestations	manifestation	NOUN
ajst-27301	12	11	,	,	PUNCT
ajst-27301	12	12	pathophysiological	pathophysiological	ADJ
ajst-27301	12	13	mechanisms	mechanism	NOUN
ajst-27301	12	14	and	and	CCONJ
ajst-27301	12	15	treatment	treatment	NOUN
ajst-27301	12	16	strategies	strategy	NOUN
ajst-27301	12	17	among	among	ADP
ajst-27301	12	18	different	different	ADJ
ajst-27301	12	19	types	type	NOUN
ajst-27301	12	20	of	of	ADP
ajst-27301	12	21	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	12	22	,	,	PUNCT
ajst-27301	12	23	and	and	CCONJ
ajst-27301	12	24	it	it	PRON
ajst-27301	12	25	is	be	AUX
ajst-27301	12	26	important	important	ADJ
ajst-27301	12	27	to	to	PART
ajst-27301	12	28	accurately	accurately	ADV
ajst-27301	12	29	distinguish	distinguish	VERB
ajst-27301	12	30	the	the	DET
ajst-27301	12	31	different	different	ADJ
ajst-27301	12	32	phenotypes	phenotype	NOUN
ajst-27301	12	33	of	of	ADP
ajst-27301	12	34	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	12	35	for	for	ADP
ajst-27301	12	36	developing	develop	VERB
ajst-27301	12	37	personalized	personalized	ADJ
ajst-27301	12	38	treatment	treatment	NOUN
ajst-27301	12	39	plans	plan	NOUN
ajst-27301	12	40	.	.	PUNCT
ajst-27301	13	1	traditional	traditional	ADJ
ajst-27301	13	2	tests	test	NOUN
ajst-27301	13	3	,	,	PUNCT
ajst-27301	13	4	such	such	ADJ
ajst-27301	13	5	as	as	ADP
ajst-27301	13	6	electrocardiograms	electrocardiogram	NOUN
ajst-27301	13	7	(	(	PUNCT
ajst-27301	13	8	ecg	ecg	PROPN
ajst-27301	13	9	)	)	PUNCT
ajst-27301	13	10	,	,	PUNCT
ajst-27301	13	11	echocardiograms	echocardiogram	NOUN
ajst-27301	13	12	,	,	PUNCT
ajst-27301	13	13	magnetic	magnetic	ADJ
ajst-27301	13	14	resonance	resonance	NOUN
ajst-27301	13	15	imaging	imaging	NOUN
ajst-27301	13	16	(	(	PUNCT
ajst-27301	13	17	mri	mri	NOUN
ajst-27301	13	18	)	)	PUNCT
ajst-27301	13	19	,	,	PUNCT
ajst-27301	13	20	and	and	CCONJ
ajst-27301	13	21	genetic	genetic	ADJ
ajst-27301	13	22	testing	testing	NOUN
ajst-27301	13	23	,	,	PUNCT
ajst-27301	13	24	have	have	VERB
ajst-27301	13	25	limitations	limitation	NOUN
ajst-27301	13	26	in	in	ADP
ajst-27301	13	27	detecting	detect	VERB
ajst-27301	13	28	complex	complex	ADJ
ajst-27301	13	29	cases	case	NOUN
ajst-27301	13	30	.	.	PUNCT
ajst-27301	14	1	for	for	ADP
ajst-27301	14	2	example	example	NOUN
ajst-27301	14	3	,	,	PUNCT
ajst-27301	14	4	the	the	DET
ajst-27301	14	5	clinical	clinical	ADJ
ajst-27301	14	6	manifestations	manifestation	NOUN
ajst-27301	14	7	of	of	ADP
ajst-27301	14	8	certain	certain	ADJ
ajst-27301	14	9	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	14	10	phenotypes	phenotype	NOUN
ajst-27301	14	11	can	can	AUX
ajst-27301	14	12	be	be	AUX
ajst-27301	14	13	very	very	ADV
ajst-27301	14	14	similar	similar	ADJ
ajst-27301	14	15	,	,	PUNCT
ajst-27301	14	16	leading	lead	VERB
ajst-27301	14	17	to	to	ADP
ajst-27301	14	18	an	an	DET
ajst-27301	14	19	increased	increase	VERB
ajst-27301	14	20	risk	risk	NOUN
ajst-27301	14	21	of	of	ADP
ajst-27301	14	22	misdiagnosis	misdiagnosis	NOUN
ajst-27301	14	23	or	or	CCONJ
ajst-27301	14	24	missed	miss	VERB
ajst-27301	14	25	diagnosis	diagnosis	NOUN
ajst-27301	14	26	.	.	PUNCT
ajst-27301	15	1	in	in	ADP
ajst-27301	15	2	addition	addition	NOUN
ajst-27301	15	3	,	,	PUNCT
ajst-27301	15	4	the	the	DET
ajst-27301	15	5	experience	experience	NOUN
ajst-27301	15	6	and	and	CCONJ
ajst-27301	15	7	skill	skill	NOUN
ajst-27301	15	8	level	level	NOUN
ajst-27301	15	9	of	of	ADP
ajst-27301	15	10	different	different	ADJ
ajst-27301	15	11	hospitals	hospital	NOUN
ajst-27301	15	12	and	and	CCONJ
ajst-27301	15	13	doctors	doctor	NOUN
ajst-27301	15	14	may	may	AUX
ajst-27301	15	15	also	also	ADV
ajst-27301	15	16	affect	affect	VERB
ajst-27301	15	17	the	the	DET
ajst-27301	15	18	accuracy	accuracy	NOUN
ajst-27301	15	19	and	and	CCONJ
ajst-27301	15	20	consistency	consistency	NOUN
ajst-27301	15	21	of	of	ADP
ajst-27301	15	22	diagnosis	diagnosis	NOUN
ajst-27301	15	23	.	.	PUNCT
ajst-27301	16	1	in	in	ADP
ajst-27301	16	2	order	order	NOUN
ajst-27301	16	3	to	to	PART
ajst-27301	16	4	overcome	overcome	VERB
ajst-27301	16	5	the	the	DET
ajst-27301	16	6	limitations	limitation	NOUN
ajst-27301	16	7	of	of	ADP
ajst-27301	16	8	traditional	traditional	ADJ
ajst-27301	16	9	diagnostic	diagnostic	ADJ
ajst-27301	16	10	methods	method	NOUN
ajst-27301	16	11	and	and	CCONJ
ajst-27301	16	12	improve	improve	VERB
ajst-27301	16	13	the	the	DET
ajst-27301	16	14	ability	ability	NOUN
ajst-27301	16	15	of	of	ADP
ajst-27301	16	16	accurate	accurate	ADJ
ajst-27301	16	17	diagnosis	diagnosis	NOUN
ajst-27301	16	18	of	of	ADP
ajst-27301	16	19	different	different	ADJ
ajst-27301	16	20	phenotypes	phenotype	NOUN
ajst-27301	16	21	of	of	ADP
ajst-27301	16	22	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	16	23	,	,	PUNCT
ajst-27301	16	24	this	this	DET
ajst-27301	16	25	study	study	NOUN
ajst-27301	16	26	aims	aim	VERB
ajst-27301	16	27	to	to	PART
ajst-27301	16	28	develop	develop	VERB
ajst-27301	16	29	a	a	DET
ajst-27301	16	30	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	16	31	phenotypic	phenotypic	ADJ
ajst-27301	16	32	differential	differential	ADJ
ajst-27301	16	33	diagnosis	diagnosis	NOUN
ajst-27301	16	34	system	system	NOUN
ajst-27301	16	35	based	base	VERB
ajst-27301	16	36	on	on	ADP
ajst-27301	16	37	multi	multi	ADJ
ajst-27301	16	38	-	-	ADJ
ajst-27301	16	39	modal	modal	ADJ
ajst-27301	16	40	artificial	artificial	ADJ
ajst-27301	16	41	intelligence	intelligence	NOUN
ajst-27301	16	42	(	(	PUNCT
ajst-27301	16	43	ai	ai	NOUN
ajst-27301	16	44	)	)	PUNCT
ajst-27301	16	45	technology	technology	NOUN
ajst-27301	17	1	[	[	X
ajst-27301	17	2	1,2	1,2	NUM
ajst-27301	17	3	]	]	PUNCT
ajst-27301	17	4	.	.	PUNCT
ajst-27301	18	1	specific	specific	ADJ
ajst-27301	18	2	goals	goal	NOUN
ajst-27301	18	3	include	include	VERB
ajst-27301	18	4	:	:	PUNCT
ajst-27301	18	5	1	1	X
ajst-27301	18	6	.	.	PUNCT
ajst-27301	18	7	data	datum	NOUN
ajst-27301	18	8	integration	integration	NOUN
ajst-27301	18	9	and	and	CCONJ
ajst-27301	18	10	preprocessing	preprocessing	NOUN
ajst-27301	18	11	;	;	PUNCT
ajst-27301	18	12	2	2	X
ajst-27301	18	13	.	.	X
ajst-27301	18	14	multi	multi	ADJ
ajst-27301	18	15	-	-	ADJ
ajst-27301	18	16	modal	modal	ADJ
ajst-27301	18	17	ai	ai	PROPN
ajst-27301	18	18	model	model	NOUN
ajst-27301	18	19	construction	construction	NOUN
ajst-27301	18	20	,	,	PUNCT
ajst-27301	18	21	using	use	VERB
ajst-27301	18	22	machine	machine	NOUN
ajst-27301	18	23	learning	learning	NOUN
ajst-27301	18	24	and	and	CCONJ
ajst-27301	18	25	deep	deep	ADJ
ajst-27301	18	26	learning	learning	NOUN
ajst-27301	18	27	algorithms	algorithm	NOUN
ajst-27301	18	28	to	to	PART
ajst-27301	18	29	build	build	VERB
ajst-27301	18	30	a	a	DET
ajst-27301	18	31	multi	multi	ADJ
ajst-27301	18	32	-	-	ADJ
ajst-27301	18	33	modal	modal	ADJ
ajst-27301	18	34	ai	ai	NOUN
ajst-27301	18	35	model	model	NOUN
ajst-27301	18	36	,	,	PUNCT
ajst-27301	18	37	so	so	SCONJ
ajst-27301	18	38	that	that	SCONJ
ajst-27301	18	39	it	it	PRON
ajst-27301	18	40	can	can	AUX
ajst-27301	18	41	accurately	accurately	ADV
ajst-27301	18	42	identify	identify	VERB
ajst-27301	18	43	and	and	CCONJ
ajst-27301	18	44	classify	classify	VERB
ajst-27301	18	45	different	different	ADJ
ajst-27301	18	46	types	type	NOUN
ajst-27301	18	47	of	of	ADP
ajst-27301	18	48	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	18	49	;	;	PUNCT
ajst-27301	18	50	3	3	X
ajst-27301	18	51	.	.	NOUN
ajst-27301	18	52	model	model	NOUN
ajst-27301	18	53	validation	validation	NOUN
ajst-27301	18	54	and	and	CCONJ
ajst-27301	18	55	optimization	optimization	NOUN
ajst-27301	18	56	:	:	PUNCT
ajst-27301	18	57	verify	verify	VERB
ajst-27301	18	58	the	the	DET
ajst-27301	18	59	ai	ai	ADJ
ajst-27301	18	60	model	model	NOUN
ajst-27301	18	61	using	use	VERB
ajst-27301	18	62	independent	independent	ADJ
ajst-27301	18	63	data	datum	NOUN
ajst-27301	18	64	sets	set	NOUN
ajst-27301	18	65	,	,	PUNCT
ajst-27301	18	66	optimize	optimize	VERB
ajst-27301	18	67	model	model	NOUN
ajst-27301	18	68	parameters	parameter	NOUN
ajst-27301	18	69	according	accord	VERB
ajst-27301	18	70	to	to	ADP
ajst-27301	18	71	the	the	DET
ajst-27301	18	72	verification	verification	NOUN
ajst-27301	18	73	results	result	NOUN
ajst-27301	18	74	,	,	PUNCT
ajst-27301	18	75	and	and	CCONJ
ajst-27301	18	76	improve	improve	VERB
ajst-27301	18	77	the	the	DET
ajst-27301	18	78	generalization	generalization	NOUN
ajst-27301	18	79	ability	ability	NOUN
ajst-27301	18	80	and	and	CCONJ
ajst-27301	18	81	clinical	clinical	ADJ
ajst-27301	18	82	applicability	applicability	NOUN
ajst-27301	18	83	of	of	ADP
ajst-27301	18	84	the	the	DET
ajst-27301	18	85	model	model	NOUN
ajst-27301	18	86	;	;	PUNCT
ajst-27301	18	87	4	4	X
ajst-27301	18	88	.	.	NOUN
ajst-27301	18	89	clinical	clinical	ADJ
ajst-27301	18	90	application	application	NOUN
ajst-27301	18	91	and	and	CCONJ
ajst-27301	18	92	feedback	feedback	NOUN
ajst-27301	18	93	:	:	PUNCT
ajst-27301	18	94	apply	apply	VERB
ajst-27301	18	95	the	the	DET
ajst-27301	18	96	optimized	optimize	VERB
ajst-27301	18	97	ai	ai	NOUN
ajst-27301	18	98	model	model	NOUN
ajst-27301	18	99	to	to	ADP
ajst-27301	18	100	clinical	clinical	ADJ
ajst-27301	18	101	practice	practice	NOUN
ajst-27301	18	102	,	,	PUNCT
ajst-27301	18	103	evaluate	evaluate	VERB
ajst-27301	18	104	its	its	PRON
ajst-27301	18	105	auxiliary	auxiliary	ADJ
ajst-27301	18	106	role	role	NOUN
ajst-27301	18	107	and	and	CCONJ
ajst-27301	18	108	effect	effect	NOUN
ajst-27301	18	109	in	in	ADP
ajst-27301	18	110	clinical	clinical	ADJ
ajst-27301	18	111	diagnosis	diagnosis	NOUN
ajst-27301	18	112	,	,	PUNCT
ajst-27301	18	113	and	and	CCONJ
ajst-27301	18	114	further	far	ADV
ajst-27301	18	115	improve	improve	VERB
ajst-27301	18	116	the	the	DET
ajst-27301	18	117	model	model	NOUN
ajst-27301	18	118	performance	performance	NOUN
ajst-27301	18	119	.	.	PUNCT
ajst-27301	19	1	through	through	ADP
ajst-27301	19	2	the	the	DET
ajst-27301	19	3	introduction	introduction	NOUN
ajst-27301	19	4	of	of	ADP
ajst-27301	19	5	multi	multi	ADJ
ajst-27301	19	6	-	-	ADJ
ajst-27301	19	7	modal	modal	ADJ
ajst-27301	19	8	ai	ai	NOUN
ajst-27301	19	9	technology	technology	NOUN
ajst-27301	19	10	,	,	PUNCT
ajst-27301	19	11	different	different	ADJ
ajst-27301	19	12	types	type	NOUN
ajst-27301	19	13	of	of	ADP
ajst-27301	19	14	medical	medical	ADJ
ajst-27301	19	15	data	datum	NOUN
ajst-27301	19	16	can	can	AUX
ajst-27301	19	17	be	be	AUX
ajst-27301	19	18	fully	fully	ADV
ajst-27301	19	19	utilized	utilize	VERB
ajst-27301	19	20	to	to	PART
ajst-27301	19	21	improve	improve	VERB
ajst-27301	19	22	the	the	DET
ajst-27301	19	23	accuracy	accuracy	NOUN
ajst-27301	19	24	and	and	CCONJ
ajst-27301	19	25	reliability	reliability	NOUN
ajst-27301	19	26	of	of	ADP
ajst-27301	19	27	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	19	28	phenotypic	phenotypic	ADJ
ajst-27301	19	29	identification	identification	NOUN
ajst-27301	19	30	.	.	PUNCT
ajst-27301	20	1	the	the	DET
ajst-27301	20	2	development	development	NOUN
ajst-27301	20	3	and	and	CCONJ
ajst-27301	20	4	application	application	NOUN
ajst-27301	20	5	of	of	ADP
ajst-27301	20	6	this	this	DET
ajst-27301	20	7	system	system	NOUN
ajst-27301	20	8	will	will	AUX
ajst-27301	20	9	help	help	VERB
ajst-27301	20	10	to	to	PART
ajst-27301	20	11	reduce	reduce	VERB
ajst-27301	20	12	misdiagnosis	misdiagnosis	NOUN
ajst-27301	20	13	and	and	CCONJ
ajst-27301	20	14	missed	miss	VERB
ajst-27301	20	15	diagnosis	diagnosis	NOUN
ajst-27301	20	16	and	and	CCONJ
ajst-27301	20	17	improve	improve	VERB
ajst-27301	20	18	the	the	DET
ajst-27301	20	19	efficiency	efficiency	NOUN
ajst-27301	20	20	and	and	CCONJ
ajst-27301	20	21	quality	quality	NOUN
ajst-27301	20	22	of	of	ADP
ajst-27301	20	23	clinical	clinical	ADJ
ajst-27301	20	24	diagnosis	diagnosis	NOUN
ajst-27301	20	25	.	.	PUNCT
ajst-27301	21	1	accurate	accurate	ADJ
ajst-27301	21	2	diagnosis	diagnosis	NOUN
ajst-27301	21	3	results	result	NOUN
ajst-27301	21	4	will	will	AUX
ajst-27301	21	5	provide	provide	VERB
ajst-27301	21	6	an	an	DET
ajst-27301	21	7	important	important	ADJ
ajst-27301	21	8	basis	basis	NOUN
ajst-27301	21	9	for	for	SCONJ
ajst-27301	21	10	doctors	doctor	NOUN
ajst-27301	21	11	to	to	PART
ajst-27301	21	12	develop	develop	VERB
ajst-27301	21	13	personalized	personalized	ADJ
ajst-27301	21	14	treatment	treatment	NOUN
ajst-27301	21	15	plans	plan	NOUN
ajst-27301	21	16	,	,	PUNCT
ajst-27301	21	17	thereby	thereby	ADV
ajst-27301	21	18	improving	improve	VERB
ajst-27301	21	19	patients	patient	NOUN
ajst-27301	21	20	'	'	PART
ajst-27301	21	21	prognosis	prognosis	NOUN
ajst-27301	21	22	and	and	CCONJ
ajst-27301	21	23	quality	quality	NOUN
ajst-27301	21	24	of	of	ADP
ajst-27301	21	25	life	life	NOUN
ajst-27301	21	26	.	.	PUNCT
ajst-27301	22	1	the	the	DET
ajst-27301	22	2	results	result	NOUN
ajst-27301	22	3	of	of	ADP
ajst-27301	22	4	this	this	DET
ajst-27301	22	5	study	study	NOUN
ajst-27301	22	6	will	will	AUX
ajst-27301	22	7	provide	provide	VERB
ajst-27301	22	8	new	new	ADJ
ajst-27301	22	9	technologies	technology	NOUN
ajst-27301	22	10	and	and	CCONJ
ajst-27301	22	11	methods	method	NOUN
ajst-27301	22	12	for	for	ADP
ajst-27301	22	13	precision	precision	NOUN
ajst-27301	22	14	medicine	medicine	NOUN
ajst-27301	22	15	of	of	ADP
ajst-27301	22	16	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	22	17	and	and	CCONJ
ajst-27301	22	18	promote	promote	VERB
ajst-27301	22	19	the	the	DET
ajst-27301	22	20	further	further	ADJ
ajst-27301	22	21	development	development	NOUN
ajst-27301	22	22	of	of	ADP
ajst-27301	22	23	this	this	DET
ajst-27301	22	24	field	field	NOUN
ajst-27301	22	25	.	.	PUNCT
ajst-27301	23	1	2	2	X
ajst-27301	23	2	.	.	X
ajst-27301	23	3	literature	literature	NOUN
ajst-27301	23	4	review	review	VERB
ajst-27301	23	5	different	different	ADJ
ajst-27301	23	6	types	type	NOUN
ajst-27301	23	7	of	of	ADP
ajst-27301	23	8	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	23	9	differ	differ	VERB
ajst-27301	23	10	significantly	significantly	ADV
ajst-27301	23	11	in	in	ADP
ajst-27301	23	12	clinical	clinical	ADJ
ajst-27301	23	13	presentation	presentation	NOUN
ajst-27301	23	14	,	,	PUNCT
ajst-27301	23	15	pathophysiological	pathophysiological	ADJ
ajst-27301	23	16	mechanisms	mechanism	NOUN
ajst-27301	23	17	,	,	PUNCT
ajst-27301	23	18	and	and	CCONJ
ajst-27301	23	19	treatment	treatment	NOUN
ajst-27301	23	20	strategies	strategy	NOUN
ajst-27301	23	21	;	;	PUNCT
ajst-27301	23	22	therefore	therefore	ADV
ajst-27301	23	23	,	,	PUNCT
ajst-27301	23	24	accurately	accurately	ADV
ajst-27301	23	25	differentiating	differentiate	VERB
ajst-27301	23	26	the	the	DET
ajst-27301	23	27	different	different	ADJ
ajst-27301	23	28	phenotypes	phenotype	NOUN
ajst-27301	23	29	of	of	ADP
ajst-27301	23	30	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	23	31	is	be	AUX
ajst-27301	23	32	essential	essential	ADJ
ajst-27301	23	33	to	to	PART
ajst-27301	23	34	develop	develop	VERB
ajst-27301	23	35	a	a	DET
ajst-27301	23	36	personalized	personalized	ADJ
ajst-27301	23	37	treatment	treatment	NOUN
ajst-27301	23	38	plan	plan	NOUN
ajst-27301	23	39	.	.	PUNCT
ajst-27301	24	1	2.1	2.1	NUM
ajst-27301	24	2	.	.	PUNCT
ajst-27301	25	1	traditional	traditional	ADJ
ajst-27301	25	2	diagnostic	diagnostic	ADJ
ajst-27301	25	3	techniques	technique	NOUN
ajst-27301	25	4	for	for	ADP
ajst-27301	25	5	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	25	6	currently	currently	ADV
ajst-27301	25	7	,	,	PUNCT
ajst-27301	25	8	the	the	DET
ajst-27301	25	9	diagnostic	diagnostic	ADJ
ajst-27301	25	10	techniques	technique	NOUN
ajst-27301	25	11	for	for	ADP
ajst-27301	25	12	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	25	13	are	be	AUX
ajst-27301	25	14	,	,	PUNCT
ajst-27301	25	15	1	1	X
ajst-27301	25	16	.	.	PUNCT
ajst-27301	25	17	electrocardiogram	electrocardiogram	NOUN
ajst-27301	25	18	(	(	PUNCT
ajst-27301	25	19	ecg	ecg	PROPN
ajst-27301	25	20	):	):	PUNCT
ajst-27301	25	21	detect	detect	NOUN
ajst-27301	25	22	changes	change	NOUN
ajst-27301	25	23	in	in	ADP
ajst-27301	25	24	myocardial	myocardial	ADJ
ajst-27301	25	25	electrical	electrical	ADJ
ajst-27301	25	26	activity	activity	NOUN
ajst-27301	25	27	,	,	PUNCT
ajst-27301	25	28	such	such	ADJ
ajst-27301	25	29	as	as	ADP
ajst-27301	25	30	qrs	qrs	PROPN
ajst-27301	25	31	group	group	PROPN
ajst-27301	25	32	broadening	broadening	PROPN
ajst-27301	25	33	,	,	PUNCT
ajst-27301	25	34	st	st	PROPN
ajst-27301	25	35	24	24	NUM
ajst-27301	25	36	segment	segment	NOUN
ajst-27301	25	37	changes	change	NOUN
ajst-27301	25	38	,	,	PUNCT
ajst-27301	25	39	etc	etc	X
ajst-27301	25	40	.	.	X
ajst-27301	26	1	the	the	DET
ajst-27301	26	2	advantages	advantage	NOUN
ajst-27301	26	3	are	be	AUX
ajst-27301	26	4	simple	simple	ADJ
ajst-27301	26	5	,	,	PUNCT
ajst-27301	26	6	fast	fast	ADJ
ajst-27301	26	7	and	and	CCONJ
ajst-27301	26	8	low	low	ADJ
ajst-27301	26	9	cost	cost	NOUN
ajst-27301	26	10	.	.	PUNCT
ajst-27301	27	1	the	the	DET
ajst-27301	27	2	disadvantage	disadvantage	NOUN
ajst-27301	27	3	is	be	AUX
ajst-27301	27	4	that	that	SCONJ
ajst-27301	27	5	the	the	DET
ajst-27301	27	6	specificity	specificity	NOUN
ajst-27301	27	7	is	be	AUX
ajst-27301	27	8	low	low	ADJ
ajst-27301	27	9	and	and	CCONJ
ajst-27301	27	10	it	it	PRON
ajst-27301	27	11	is	be	AUX
ajst-27301	27	12	easily	easily	ADV
ajst-27301	27	13	affected	affect	VERB
ajst-27301	27	14	by	by	ADP
ajst-27301	27	15	the	the	DET
ajst-27301	27	16	operator	operator	NOUN
ajst-27301	27	17	's	's	PART
ajst-27301	27	18	experience	experience	NOUN
ajst-27301	27	19	.	.	PUNCT
ajst-27301	28	1	2	2	X
ajst-27301	28	2	.	.	X
ajst-27301	28	3	echocardiography	echocardiography	NOUN
ajst-27301	28	4	:	:	PUNCT
ajst-27301	28	5	through	through	ADP
ajst-27301	28	6	ultrasonic	ultrasonic	ADJ
ajst-27301	28	7	imaging	imaging	NOUN
ajst-27301	28	8	technology	technology	NOUN
ajst-27301	28	9	,	,	PUNCT
ajst-27301	28	10	the	the	DET
ajst-27301	28	11	structure	structure	NOUN
ajst-27301	28	12	and	and	CCONJ
ajst-27301	28	13	function	function	NOUN
ajst-27301	28	14	of	of	ADP
ajst-27301	28	15	the	the	DET
ajst-27301	28	16	myocardium	myocardium	NOUN
ajst-27301	28	17	are	be	AUX
ajst-27301	28	18	visually	visually	ADV
ajst-27301	28	19	displayed	display	VERB
ajst-27301	28	20	.	.	PUNCT
ajst-27301	29	1	the	the	DET
ajst-27301	29	2	advantages	advantage	NOUN
ajst-27301	29	3	are	be	AUX
ajst-27301	29	4	non	non	ADJ
ajst-27301	29	5	-	-	ADJ
ajst-27301	29	6	invasive	invasive	ADJ
ajst-27301	29	7	,	,	PUNCT
ajst-27301	29	8	realtime	realtime	NOUN
ajst-27301	29	9	,	,	PUNCT
ajst-27301	29	10	and	and	CCONJ
ajst-27301	29	11	clear	clear	ADJ
ajst-27301	29	12	images	image	NOUN
ajst-27301	29	13	.	.	PUNCT
ajst-27301	30	1	the	the	DET
ajst-27301	30	2	disadvantage	disadvantage	NOUN
ajst-27301	30	3	is	be	AUX
ajst-27301	30	4	that	that	SCONJ
ajst-27301	30	5	it	it	PRON
ajst-27301	30	6	is	be	AUX
ajst-27301	30	7	greatly	greatly	ADV
ajst-27301	30	8	affected	affect	VERB
ajst-27301	30	9	by	by	ADP
ajst-27301	30	10	the	the	DET
ajst-27301	30	11	operator	operator	NOUN
ajst-27301	30	12	's	's	PART
ajst-27301	30	13	experience	experience	NOUN
ajst-27301	30	14	and	and	CCONJ
ajst-27301	30	15	equipment	equipment	NOUN
ajst-27301	30	16	quality	quality	NOUN
ajst-27301	30	17	.	.	PUNCT
ajst-27301	31	1	3	3	X
ajst-27301	31	2	.	.	X
ajst-27301	31	3	magnetic	magnetic	ADJ
ajst-27301	31	4	resonance	resonance	NOUN
ajst-27301	31	5	imaging	imaging	NOUN
ajst-27301	31	6	(	(	PUNCT
ajst-27301	31	7	mri	mri	NOUN
ajst-27301	31	8	)	)	PUNCT
ajst-27301	31	9	provides	provide	VERB
ajst-27301	31	10	highresolution	highresolution	NOUN
ajst-27301	31	11	images	image	NOUN
ajst-27301	31	12	of	of	ADP
ajst-27301	31	13	the	the	DET
ajst-27301	31	14	heart	heart	NOUN
ajst-27301	31	15	,	,	PUNCT
ajst-27301	31	16	showing	show	VERB
ajst-27301	31	17	in	in	ADP
ajst-27301	31	18	detail	detail	NOUN
ajst-27301	31	19	the	the	DET
ajst-27301	31	20	thickness	thickness	NOUN
ajst-27301	31	21	of	of	ADP
ajst-27301	31	22	the	the	DET
ajst-27301	31	23	heart	heart	NOUN
ajst-27301	31	24	muscle	muscle	NOUN
ajst-27301	31	25	,	,	PUNCT
ajst-27301	31	26	the	the	DET
ajst-27301	31	27	size	size	NOUN
ajst-27301	31	28	of	of	ADP
ajst-27301	31	29	the	the	DET
ajst-27301	31	30	heart	heart	NOUN
ajst-27301	31	31	cavity	cavity	NOUN
ajst-27301	31	32	and	and	CCONJ
ajst-27301	31	33	the	the	DET
ajst-27301	31	34	properties	property	NOUN
ajst-27301	31	35	of	of	ADP
ajst-27301	31	36	the	the	DET
ajst-27301	31	37	heart	heart	NOUN
ajst-27301	31	38	muscle	muscle	NOUN
ajst-27301	31	39	tissue	tissue	NOUN
ajst-27301	31	40	.	.	PUNCT
ajst-27301	32	1	the	the	DET
ajst-27301	32	2	advantages	advantage	NOUN
ajst-27301	32	3	are	be	AUX
ajst-27301	32	4	high	high	ADJ
ajst-27301	32	5	resolution	resolution	NOUN
ajst-27301	32	6	and	and	CCONJ
ajst-27301	32	7	no	no	DET
ajst-27301	32	8	radiation	radiation	NOUN
ajst-27301	32	9	.	.	PUNCT
ajst-27301	33	1	the	the	DET
ajst-27301	33	2	disadvantage	disadvantage	NOUN
ajst-27301	33	3	is	be	AUX
ajst-27301	33	4	that	that	SCONJ
ajst-27301	33	5	the	the	DET
ajst-27301	33	6	equipment	equipment	NOUN
ajst-27301	33	7	is	be	AUX
ajst-27301	33	8	expensive	expensive	ADJ
ajst-27301	33	9	,	,	PUNCT
ajst-27301	33	10	the	the	DET
ajst-27301	33	11	penetration	penetration	NOUN
ajst-27301	33	12	rate	rate	NOUN
ajst-27301	33	13	is	be	AUX
ajst-27301	33	14	low	low	ADJ
ajst-27301	33	15	and	and	CCONJ
ajst-27301	33	16	the	the	DET
ajst-27301	33	17	inspection	inspection	NOUN
ajst-27301	33	18	time	time	NOUN
ajst-27301	33	19	is	be	AUX
ajst-27301	33	20	long	long	ADJ
ajst-27301	33	21	.	.	PUNCT
ajst-27301	34	1	4	4	X
ajst-27301	34	2	.	.	X
ajst-27301	34	3	genetic	genetic	ADJ
ajst-27301	34	4	testing	testing	NOUN
ajst-27301	34	5	:	:	PUNCT
ajst-27301	34	6	genetic	genetic	ADJ
ajst-27301	34	7	mutations	mutation	NOUN
ajst-27301	34	8	are	be	AUX
ajst-27301	34	9	analyzed	analyze	VERB
ajst-27301	34	10	to	to	PART
ajst-27301	34	11	determine	determine	VERB
ajst-27301	34	12	the	the	DET
ajst-27301	34	13	cause	cause	NOUN
ajst-27301	34	14	of	of	ADP
ajst-27301	34	15	inherited	inherit	VERB
ajst-27301	34	16	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	34	17	.	.	PUNCT
ajst-27301	35	1	the	the	DET
ajst-27301	35	2	advantage	advantage	NOUN
ajst-27301	35	3	is	be	AUX
ajst-27301	35	4	that	that	SCONJ
ajst-27301	35	5	it	it	PRON
ajst-27301	35	6	is	be	AUX
ajst-27301	35	7	accurate	accurate	ADJ
ajst-27301	35	8	and	and	CCONJ
ajst-27301	35	9	helps	help	VERB
ajst-27301	35	10	in	in	ADP
ajst-27301	35	11	family	family	NOUN
ajst-27301	35	12	genetic	genetic	ADJ
ajst-27301	35	13	risk	risk	NOUN
ajst-27301	35	14	assessment	assessment	NOUN
ajst-27301	35	15	.	.	PUNCT
ajst-27301	36	1	the	the	DET
ajst-27301	36	2	disadvantage	disadvantage	NOUN
ajst-27301	36	3	is	be	AUX
ajst-27301	36	4	high	high	ADJ
ajst-27301	36	5	cost	cost	NOUN
ajst-27301	36	6	and	and	CCONJ
ajst-27301	36	7	long	long	ADJ
ajst-27301	36	8	cycle	cycle	NOUN
ajst-27301	36	9	.	.	PUNCT
ajst-27301	37	1	although	although	SCONJ
ajst-27301	37	2	these	these	DET
ajst-27301	37	3	techniques	technique	NOUN
ajst-27301	37	4	have	have	AUX
ajst-27301	37	5	played	play	VERB
ajst-27301	37	6	an	an	DET
ajst-27301	37	7	important	important	ADJ
ajst-27301	37	8	role	role	NOUN
ajst-27301	37	9	in	in	ADP
ajst-27301	37	10	the	the	DET
ajst-27301	37	11	diagnosis	diagnosis	NOUN
ajst-27301	37	12	of	of	ADP
ajst-27301	37	13	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	37	14	,	,	PUNCT
ajst-27301	37	15	they	they	PRON
ajst-27301	37	16	still	still	ADV
ajst-27301	37	17	have	have	VERB
ajst-27301	37	18	some	some	DET
ajst-27301	37	19	limitations	limitation	NOUN
ajst-27301	37	20	.	.	PUNCT
ajst-27301	38	1	for	for	ADP
ajst-27301	38	2	example	example	NOUN
ajst-27301	38	3	,	,	PUNCT
ajst-27301	38	4	the	the	DET
ajst-27301	38	5	clinical	clinical	ADJ
ajst-27301	38	6	manifestations	manifestation	NOUN
ajst-27301	38	7	of	of	ADP
ajst-27301	38	8	certain	certain	ADJ
ajst-27301	38	9	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	38	10	phenotypes	phenotype	NOUN
ajst-27301	38	11	can	can	AUX
ajst-27301	38	12	be	be	AUX
ajst-27301	38	13	very	very	ADV
ajst-27301	38	14	similar	similar	ADJ
ajst-27301	38	15	,	,	PUNCT
ajst-27301	38	16	leading	lead	VERB
ajst-27301	38	17	to	to	ADP
ajst-27301	38	18	an	an	DET
ajst-27301	38	19	increased	increase	VERB
ajst-27301	38	20	risk	risk	NOUN
ajst-27301	38	21	of	of	ADP
ajst-27301	38	22	misdiagnosis	misdiagnosis	NOUN
ajst-27301	38	23	or	or	CCONJ
ajst-27301	38	24	missed	miss	VERB
ajst-27301	38	25	diagnosis	diagnosis	NOUN
ajst-27301	38	26	.	.	PUNCT
ajst-27301	39	1	in	in	ADP
ajst-27301	39	2	addition	addition	NOUN
ajst-27301	39	3	,	,	PUNCT
ajst-27301	39	4	the	the	DET
ajst-27301	39	5	experience	experience	NOUN
ajst-27301	39	6	and	and	CCONJ
ajst-27301	39	7	skill	skill	NOUN
ajst-27301	39	8	level	level	NOUN
ajst-27301	39	9	of	of	ADP
ajst-27301	39	10	different	different	ADJ
ajst-27301	39	11	hospitals	hospital	NOUN
ajst-27301	39	12	and	and	CCONJ
ajst-27301	39	13	doctors	doctor	NOUN
ajst-27301	39	14	may	may	AUX
ajst-27301	39	15	also	also	ADV
ajst-27301	39	16	affect	affect	VERB
ajst-27301	39	17	the	the	DET
ajst-27301	39	18	accuracy	accuracy	NOUN
ajst-27301	39	19	and	and	CCONJ
ajst-27301	39	20	consistency	consistency	NOUN
ajst-27301	39	21	of	of	ADP
ajst-27301	39	22	diagnosis	diagnosis	NOUN
ajst-27301	39	23	.	.	PUNCT
ajst-27301	40	1	2.2	2.2	NUM
ajst-27301	40	2	.	.	PUNCT
ajst-27301	40	3	application	application	NOUN
ajst-27301	40	4	of	of	ADP
ajst-27301	40	5	ai	ai	PRON
ajst-27301	40	6	technology	technology	NOUN
ajst-27301	40	7	in	in	ADP
ajst-27301	40	8	the	the	DET
ajst-27301	40	9	diagnosis	diagnosis	NOUN
ajst-27301	40	10	of	of	ADP
ajst-27301	40	11	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	40	12	the	the	DET
ajst-27301	40	13	advantage	advantage	NOUN
ajst-27301	40	14	of	of	ADP
ajst-27301	40	15	ai	ai	PRON
ajst-27301	40	16	technology	technology	NOUN
ajst-27301	40	17	is	be	AUX
ajst-27301	40	18	that	that	SCONJ
ajst-27301	40	19	it	it	PRON
ajst-27301	40	20	can	can	AUX
ajst-27301	40	21	process	process	VERB
ajst-27301	40	22	a	a	DET
ajst-27301	40	23	large	large	ADJ
ajst-27301	40	24	amount	amount	NOUN
ajst-27301	40	25	of	of	ADP
ajst-27301	40	26	complex	complex	ADJ
ajst-27301	40	27	data	datum	NOUN
ajst-27301	40	28	,	,	PUNCT
ajst-27301	40	29	and	and	CCONJ
ajst-27301	40	30	automatically	automatically	ADV
ajst-27301	40	31	extract	extract	VERB
ajst-27301	40	32	features	feature	NOUN
ajst-27301	40	33	and	and	CCONJ
ajst-27301	40	34	make	make	VERB
ajst-27301	40	35	classification	classification	NOUN
ajst-27301	40	36	and	and	CCONJ
ajst-27301	40	37	prediction	prediction	NOUN
ajst-27301	40	38	through	through	ADP
ajst-27301	40	39	machine	machine	NOUN
ajst-27301	40	40	learning	learning	NOUN
ajst-27301	40	41	and	and	CCONJ
ajst-27301	40	42	deep	deep	ADJ
ajst-27301	40	43	learning	learning	NOUN
ajst-27301	40	44	algorithms	algorithm	NOUN
ajst-27301	40	45	[	[	X
ajst-27301	40	46	3	3	NUM
ajst-27301	40	47	]	]	PUNCT
ajst-27301	40	48	.	.	PUNCT
ajst-27301	41	1	in	in	ADP
ajst-27301	41	2	recent	recent	ADJ
ajst-27301	41	3	years	year	NOUN
ajst-27301	41	4	,	,	PUNCT
ajst-27301	41	5	the	the	DET
ajst-27301	41	6	application	application	NOUN
ajst-27301	41	7	of	of	ADP
ajst-27301	41	8	ai	ai	PRON
ajst-27301	41	9	technology	technology	NOUN
ajst-27301	41	10	in	in	ADP
ajst-27301	41	11	medical	medical	ADJ
ajst-27301	41	12	fields	field	NOUN
ajst-27301	41	13	such	such	ADJ
ajst-27301	41	14	as	as	ADP
ajst-27301	41	15	imaging	imaging	NOUN
ajst-27301	41	16	and	and	CCONJ
ajst-27301	41	17	pathology	pathology	NOUN
ajst-27301	41	18	has	have	AUX
ajst-27301	41	19	made	make	VERB
ajst-27301	41	20	remarkable	remarkable	ADJ
ajst-27301	41	21	progress	progress	NOUN
ajst-27301	41	22	:	:	PUNCT
ajst-27301	41	23	ai	ai	VERB
ajst-27301	41	24	algorithms	algorithm	NOUN
ajst-27301	41	25	have	have	AUX
ajst-27301	41	26	been	be	AUX
ajst-27301	41	27	widely	widely	ADV
ajst-27301	41	28	used	use	VERB
ajst-27301	41	29	in	in	ADP
ajst-27301	41	30	x	x	NOUN
ajst-27301	41	31	-	-	NOUN
ajst-27301	41	32	ray	ray	NOUN
ajst-27301	41	33	,	,	PUNCT
ajst-27301	41	34	ct	ct	PROPN
ajst-27301	41	35	,	,	PUNCT
ajst-27301	41	36	mri	mri	NOUN
ajst-27301	41	37	and	and	CCONJ
ajst-27301	41	38	other	other	ADJ
ajst-27301	41	39	imaging	imaging	NOUN
ajst-27301	41	40	examinations	examination	NOUN
ajst-27301	41	41	,	,	PUNCT
ajst-27301	41	42	which	which	PRON
ajst-27301	41	43	can	can	AUX
ajst-27301	41	44	automatically	automatically	ADV
ajst-27301	41	45	detect	detect	VERB
ajst-27301	41	46	and	and	CCONJ
ajst-27301	41	47	label	label	VERB
ajst-27301	41	48	diseased	diseased	ADJ
ajst-27301	41	49	areas	area	NOUN
ajst-27301	41	50	,	,	PUNCT
ajst-27301	41	51	improving	improve	VERB
ajst-27301	41	52	the	the	DET
ajst-27301	41	53	accuracy	accuracy	NOUN
ajst-27301	41	54	and	and	CCONJ
ajst-27301	41	55	efficiency	efficiency	NOUN
ajst-27301	41	56	of	of	ADP
ajst-27301	41	57	diagnosis[4	diagnosis[4	NOUN
ajst-27301	41	58	]	]	PUNCT
ajst-27301	41	59	.	.	PUNCT
ajst-27301	42	1	for	for	ADP
ajst-27301	42	2	example	example	NOUN
ajst-27301	42	3	,	,	PUNCT
ajst-27301	42	4	the	the	DET
ajst-27301	42	5	ai	ai	NOUN
ajst-27301	42	6	system	system	NOUN
ajst-27301	42	7	developed	develop	VERB
ajst-27301	42	8	by	by	ADP
ajst-27301	42	9	google	google	PROPN
ajst-27301	42	10	's	's	PART
ajst-27301	42	11	deepmind	deepmind	NOUN
ajst-27301	42	12	team	team	NOUN
ajst-27301	42	13	can	can	AUX
ajst-27301	42	14	detect	detect	VERB
ajst-27301	42	15	diabetic	diabetic	ADJ
ajst-27301	42	16	retinopathy	retinopathy	NOUN
ajst-27301	42	17	in	in	ADP
ajst-27301	42	18	fundus	fundus	NOUN
ajst-27301	42	19	photos	photo	NOUN
ajst-27301	42	20	with	with	ADP
ajst-27301	42	21	an	an	DET
ajst-27301	42	22	accuracy	accuracy	NOUN
ajst-27301	42	23	close	close	ADJ
ajst-27301	42	24	to	to	ADP
ajst-27301	42	25	that	that	PRON
ajst-27301	42	26	of	of	ADP
ajst-27301	42	27	professional	professional	ADJ
ajst-27301	42	28	doctors	doctor	NOUN
ajst-27301	42	29	.	.	PUNCT
ajst-27301	43	1	ai	ai	VERB
ajst-27301	43	2	technology	technology	NOUN
ajst-27301	43	3	can	can	AUX
ajst-27301	43	4	assist	assist	VERB
ajst-27301	43	5	pathologists	pathologist	NOUN
ajst-27301	43	6	to	to	PART
ajst-27301	43	7	analyze	analyze	VERB
ajst-27301	43	8	tissue	tissue	NOUN
ajst-27301	43	9	sections	section	NOUN
ajst-27301	43	10	under	under	ADP
ajst-27301	43	11	the	the	DET
ajst-27301	43	12	microscope	microscope	NOUN
ajst-27301	43	13	,	,	PUNCT
ajst-27301	43	14	automatically	automatically	ADV
ajst-27301	43	15	identify	identify	VERB
ajst-27301	43	16	cancer	cancer	NOUN
ajst-27301	43	17	cells	cell	NOUN
ajst-27301	43	18	and	and	CCONJ
ajst-27301	43	19	other	other	ADJ
ajst-27301	43	20	abnormal	abnormal	ADJ
ajst-27301	43	21	cells	cell	NOUN
ajst-27301	43	22	,	,	PUNCT
ajst-27301	43	23	and	and	CCONJ
ajst-27301	43	24	improve	improve	VERB
ajst-27301	43	25	the	the	DET
ajst-27301	43	26	speed	speed	NOUN
ajst-27301	43	27	and	and	CCONJ
ajst-27301	43	28	accuracy	accuracy	NOUN
ajst-27301	43	29	of	of	ADP
ajst-27301	43	30	pathological	pathological	ADJ
ajst-27301	43	31	diagnosis	diagnosis	NOUN
ajst-27301	43	32	.	.	PUNCT
ajst-27301	44	1	ibm	ibm	PROPN
ajst-27301	44	2	's	's	PART
ajst-27301	44	3	watson	watson	PROPN
ajst-27301	44	4	for	for	ADP
ajst-27301	44	5	pathology	pathology	NOUN
ajst-27301	44	6	system	system	NOUN
ajst-27301	44	7	,	,	PUNCT
ajst-27301	44	8	for	for	ADP
ajst-27301	44	9	example	example	NOUN
ajst-27301	44	10	,	,	PUNCT
ajst-27301	44	11	has	have	AUX
ajst-27301	44	12	shown	show	VERB
ajst-27301	44	13	good	good	ADJ
ajst-27301	44	14	performance	performance	NOUN
ajst-27301	44	15	in	in	ADP
ajst-27301	44	16	the	the	DET
ajst-27301	44	17	pathological	pathological	ADJ
ajst-27301	44	18	diagnosis	diagnosis	NOUN
ajst-27301	44	19	of	of	ADP
ajst-27301	44	20	breast	breast	NOUN
ajst-27301	44	21	and	and	CCONJ
ajst-27301	44	22	lung	lung	NOUN
ajst-27301	44	23	cancer	cancer	NOUN
ajst-27301	44	24	.	.	PUNCT
ajst-27301	45	1	ai	ai	VERB
ajst-27301	45	2	algorithms	algorithm	NOUN
ajst-27301	45	3	can	can	AUX
ajst-27301	45	4	process	process	VERB
ajst-27301	45	5	a	a	DET
ajst-27301	45	6	large	large	ADJ
ajst-27301	45	7	amount	amount	NOUN
ajst-27301	45	8	of	of	ADP
ajst-27301	45	9	genomic	genomic	ADJ
ajst-27301	45	10	data	datum	NOUN
ajst-27301	45	11	and	and	CCONJ
ajst-27301	45	12	identify	identify	VERB
ajst-27301	45	13	genetic	genetic	ADJ
ajst-27301	45	14	variants	variant	NOUN
ajst-27301	45	15	associated	associate	VERB
ajst-27301	45	16	with	with	ADP
ajst-27301	45	17	diseases	disease	NOUN
ajst-27301	45	18	,	,	PUNCT
ajst-27301	45	19	providing	provide	VERB
ajst-27301	45	20	support	support	NOUN
ajst-27301	45	21	for	for	ADP
ajst-27301	45	22	precision	precision	NOUN
ajst-27301	45	23	medicine	medicine	NOUN
ajst-27301	45	24	[	[	X
ajst-27301	45	25	5	5	NUM
ajst-27301	45	26	]	]	PUNCT
ajst-27301	45	27	.	.	PUNCT
ajst-27301	46	1	for	for	ADP
ajst-27301	46	2	example	example	NOUN
ajst-27301	46	3	,	,	PUNCT
ajst-27301	46	4	deepvariant	deepvariant	ADJ
ajst-27301	46	5	is	be	AUX
ajst-27301	46	6	a	a	DET
ajst-27301	46	7	deep	deep	ADJ
ajst-27301	46	8	learning	learning	NOUN
ajst-27301	46	9	-	-	PUNCT
ajst-27301	46	10	based	base	VERB
ajst-27301	46	11	genomic	genomic	NOUN
ajst-27301	46	12	variation	variation	NOUN
ajst-27301	46	13	detection	detection	NOUN
ajst-27301	46	14	tool	tool	NOUN
ajst-27301	46	15	that	that	PRON
ajst-27301	46	16	accurately	accurately	ADV
ajst-27301	46	17	identifies	identify	VERB
ajst-27301	46	18	single	single	ADJ
ajst-27301	46	19	nucleotide	nucleotide	ADJ
ajst-27301	46	20	variants	variant	NOUN
ajst-27301	46	21	(	(	PUNCT
ajst-27301	46	22	snvs	snvs	NOUN
ajst-27301	46	23	)	)	PUNCT
ajst-27301	46	24	and	and	CCONJ
ajst-27301	46	25	small	small	ADJ
ajst-27301	46	26	insertions	insertion	NOUN
ajst-27301	46	27	/	/	SYM
ajst-27301	46	28	deletions	deletion	NOUN
ajst-27301	46	29	(	(	PUNCT
ajst-27301	46	30	indels	indel	NOUN
ajst-27301	46	31	)	)	PUNCT
ajst-27301	46	32	in	in	ADP
ajst-27301	46	33	whole	whole	ADJ
ajst-27301	46	34	genome	genome	NOUN
ajst-27301	46	35	sequencing	sequence	VERB
ajst-27301	46	36	data	datum	NOUN
ajst-27301	46	37	.	.	PUNCT
ajst-27301	47	1	3	3	X
ajst-27301	47	2	.	.	X
ajst-27301	47	3	methodology	methodology	NOUN
ajst-27301	47	4	3.1	3.1	NUM
ajst-27301	47	5	.	.	PUNCT
ajst-27301	47	6	data	datum	NOUN
ajst-27301	47	7	collection	collection	NOUN
ajst-27301	47	8	and	and	CCONJ
ajst-27301	47	9	preprocessing	preprocesse	VERB
ajst-27301	47	10	the	the	DET
ajst-27301	47	11	study	study	NOUN
ajst-27301	47	12	integrated	integrate	VERB
ajst-27301	47	13	patient	patient	ADJ
ajst-27301	47	14	data	datum	NOUN
ajst-27301	47	15	from	from	ADP
ajst-27301	47	16	multiple	multiple	ADJ
ajst-27301	47	17	centers	center	NOUN
ajst-27301	47	18	,	,	PUNCT
ajst-27301	47	19	1	1	X
ajst-27301	47	20	.	.	PUNCT
ajst-27301	47	21	clinical	clinical	ADJ
ajst-27301	47	22	data	datum	NOUN
ajst-27301	47	23	:	:	PUNCT
ajst-27301	47	24	patient	patient	NOUN
ajst-27301	47	25	's	's	PART
ajst-27301	47	26	age	age	NOUN
ajst-27301	47	27	,	,	PUNCT
ajst-27301	47	28	gender	gender	NOUN
ajst-27301	47	29	,	,	PUNCT
ajst-27301	47	30	medical	medical	ADJ
ajst-27301	47	31	history	history	NOUN
ajst-27301	47	32	,	,	PUNCT
ajst-27301	47	33	family	family	NOUN
ajst-27301	47	34	history	history	NOUN
ajst-27301	47	35	,	,	PUNCT
ajst-27301	47	36	clinical	clinical	ADJ
ajst-27301	47	37	symptoms	symptom	NOUN
ajst-27301	47	38	,	,	PUNCT
ajst-27301	47	39	etc	etc	X
ajst-27301	47	40	.	.	X
ajst-27301	47	41	,	,	PUNCT
ajst-27301	47	42	data	datum	NOUN
ajst-27301	47	43	from	from	ADP
ajst-27301	47	44	the	the	DET
ajst-27301	47	45	electronic	electronic	ADJ
ajst-27301	47	46	medical	medical	ADJ
ajst-27301	47	47	record	record	NOUN
ajst-27301	47	48	systems	system	NOUN
ajst-27301	47	49	of	of	ADP
ajst-27301	47	50	many	many	ADJ
ajst-27301	47	51	hospitals	hospital	NOUN
ajst-27301	47	52	and	and	CCONJ
ajst-27301	47	53	research	research	NOUN
ajst-27301	47	54	centers	center	NOUN
ajst-27301	47	55	.	.	PUNCT
ajst-27301	48	1	2	2	X
ajst-27301	48	2	.	.	X
ajst-27301	48	3	electrocardiogram	electrocardiogram	NOUN
ajst-27301	48	4	(	(	PUNCT
ajst-27301	48	5	ecg	ecg	PROPN
ajst-27301	48	6	)	)	PUNCT
ajst-27301	48	7	:	:	PUNCT
ajst-27301	48	8	record	record	VERB
ajst-27301	48	9	the	the	DET
ajst-27301	48	10	waveform	waveform	NOUN
ajst-27301	48	11	data	datum	NOUN
ajst-27301	48	12	of	of	ADP
ajst-27301	48	13	the	the	DET
ajst-27301	48	14	electrical	electrical	ADJ
ajst-27301	48	15	activity	activity	NOUN
ajst-27301	48	16	of	of	ADP
ajst-27301	48	17	the	the	DET
ajst-27301	48	18	heart	heart	NOUN
ajst-27301	48	19	muscle	muscle	NOUN
ajst-27301	48	20	,	,	PUNCT
ajst-27301	48	21	the	the	DET
ajst-27301	48	22	data	data	NOUN
ajst-27301	48	23	source	source	NOUN
ajst-27301	48	24	is	be	AUX
ajst-27301	48	25	the	the	DET
ajst-27301	48	26	data	datum	NOUN
ajst-27301	48	27	collected	collect	VERB
ajst-27301	48	28	by	by	ADP
ajst-27301	48	29	the	the	DET
ajst-27301	48	30	electrocardiograph	electrocardiograph	NOUN
ajst-27301	48	31	.	.	PUNCT
ajst-27301	49	1	3	3	X
ajst-27301	49	2	.	.	X
ajst-27301	49	3	echocardiography	echocardiography	NOUN
ajst-27301	49	4	:	:	PUNCT
ajst-27301	49	5	including	include	VERB
ajst-27301	49	6	two	two	NUM
ajst-27301	49	7	-	-	PUNCT
ajst-27301	49	8	dimensional	dimensional	ADJ
ajst-27301	49	9	ultrasound	ultrasound	NOUN
ajst-27301	49	10	,	,	PUNCT
ajst-27301	49	11	m	m	NOUN
ajst-27301	49	12	-	-	NOUN
ajst-27301	49	13	mode	mode	NOUN
ajst-27301	49	14	ultrasound	ultrasound	NOUN
ajst-27301	49	15	,	,	PUNCT
ajst-27301	49	16	color	color	NOUN
ajst-27301	49	17	doppler	doppler	NOUN
ajst-27301	49	18	flow	flow	NOUN
ajst-27301	49	19	imaging	imaging	NOUN
ajst-27301	49	20	,	,	PUNCT
ajst-27301	49	21	etc	etc	X
ajst-27301	49	22	.	.	X
ajst-27301	49	23	,	,	PUNCT
ajst-27301	49	24	to	to	PART
ajst-27301	49	25	provide	provide	VERB
ajst-27301	49	26	image	image	NOUN
ajst-27301	49	27	data	datum	NOUN
ajst-27301	49	28	of	of	ADP
ajst-27301	49	29	myocardial	myocardial	ADJ
ajst-27301	49	30	structure	structure	NOUN
ajst-27301	49	31	and	and	CCONJ
ajst-27301	49	32	function	function	NOUN
ajst-27301	49	33	,	,	PUNCT
ajst-27301	49	34	data	datum	NOUN
ajst-27301	49	35	from	from	ADP
ajst-27301	49	36	the	the	DET
ajst-27301	49	37	data	datum	NOUN
ajst-27301	49	38	collected	collect	VERB
ajst-27301	49	39	by	by	ADP
ajst-27301	49	40	the	the	DET
ajst-27301	49	41	echocardiograph	echocardiograph	NOUN
ajst-27301	49	42	.	.	PUNCT
ajst-27301	50	1	4	4	X
ajst-27301	50	2	.	.	X
ajst-27301	50	3	magnetic	magnetic	ADJ
ajst-27301	50	4	resonance	resonance	NOUN
ajst-27301	50	5	imaging	imaging	NOUN
ajst-27301	50	6	(	(	PUNCT
ajst-27301	50	7	mri	mri	NOUN
ajst-27301	50	8	)	)	PUNCT
ajst-27301	50	9	:	:	PUNCT
ajst-27301	50	10	high	high	ADJ
ajst-27301	50	11	-	-	PUNCT
ajst-27301	50	12	resolution	resolution	NOUN
ajst-27301	50	13	images	image	NOUN
ajst-27301	50	14	of	of	ADP
ajst-27301	50	15	the	the	DET
ajst-27301	50	16	heart	heart	NOUN
ajst-27301	50	17	,	,	PUNCT
ajst-27301	50	18	including	include	VERB
ajst-27301	50	19	the	the	DET
ajst-27301	50	20	thickness	thickness	NOUN
ajst-27301	50	21	of	of	ADP
ajst-27301	50	22	the	the	DET
ajst-27301	50	23	heart	heart	NOUN
ajst-27301	50	24	muscle	muscle	NOUN
ajst-27301	50	25	,	,	PUNCT
ajst-27301	50	26	the	the	DET
ajst-27301	50	27	size	size	NOUN
ajst-27301	50	28	of	of	ADP
ajst-27301	50	29	the	the	DET
ajst-27301	50	30	heart	heart	NOUN
ajst-27301	50	31	cavity	cavity	NOUN
ajst-27301	50	32	,	,	PUNCT
ajst-27301	50	33	and	and	CCONJ
ajst-27301	50	34	the	the	DET
ajst-27301	50	35	characteristics	characteristic	NOUN
ajst-27301	50	36	of	of	ADP
ajst-27301	50	37	the	the	DET
ajst-27301	50	38	heart	heart	NOUN
ajst-27301	50	39	muscle	muscle	NOUN
ajst-27301	50	40	tissue	tissue	NOUN
ajst-27301	50	41	,	,	PUNCT
ajst-27301	50	42	from	from	ADP
ajst-27301	50	43	the	the	DET
ajst-27301	50	44	data	datum	NOUN
ajst-27301	50	45	collected	collect	VERB
ajst-27301	50	46	by	by	ADP
ajst-27301	50	47	the	the	DET
ajst-27301	50	48	magnetic	magnetic	ADJ
ajst-27301	50	49	resonance	resonance	NOUN
ajst-27301	50	50	imaging	imaging	NOUN
ajst-27301	50	51	machine	machine	NOUN
ajst-27301	50	52	.	.	PUNCT
ajst-27301	51	1	5	5	X
ajst-27301	51	2	.	.	X
ajst-27301	51	3	genomic	genomic	ADJ
ajst-27301	51	4	data	datum	NOUN
ajst-27301	51	5	:	:	PUNCT
ajst-27301	51	6	genetic	genetic	ADJ
ajst-27301	51	7	sequence	sequence	NOUN
ajst-27301	51	8	information	information	NOUN
ajst-27301	51	9	of	of	ADP
ajst-27301	51	10	patients	patient	NOUN
ajst-27301	51	11	,	,	PUNCT
ajst-27301	51	12	especially	especially	ADV
ajst-27301	51	13	genetic	genetic	ADJ
ajst-27301	51	14	mutations	mutation	NOUN
ajst-27301	51	15	associated	associate	VERB
ajst-27301	51	16	with	with	ADP
ajst-27301	51	17	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	51	18	,	,	PUNCT
ajst-27301	51	19	from	from	ADP
ajst-27301	51	20	data	datum	NOUN
ajst-27301	51	21	provided	provide	VERB
ajst-27301	51	22	by	by	ADP
ajst-27301	51	23	gene	gene	NOUN
ajst-27301	51	24	sequencing	sequence	VERB
ajst-27301	51	25	laboratories	laboratory	NOUN
ajst-27301	51	26	.	.	PUNCT
ajst-27301	52	1	process	process	NOUN
ajst-27301	52	2	missing	miss	VERB
ajst-27301	52	3	data	datum	NOUN
ajst-27301	52	4	using	use	VERB
ajst-27301	52	5	methods	method	NOUN
ajst-27301	52	6	such	such	ADJ
ajst-27301	52	7	as	as	ADP
ajst-27301	52	8	interpolation	interpolation	NOUN
ajst-27301	52	9	or	or	CCONJ
ajst-27301	52	10	mean	mean	ADJ
ajst-27301	52	11	padding	padding	NOUN
ajst-27301	52	12	.	.	PUNCT
ajst-27301	53	1	for	for	ADP
ajst-27301	53	2	example	example	NOUN
ajst-27301	53	3	,	,	PUNCT
ajst-27301	53	4	for	for	ADP
ajst-27301	53	5	numeric	numeric	ADJ
ajst-27301	53	6	data	datum	NOUN
ajst-27301	53	7	,	,	PUNCT
ajst-27301	53	8	use	use	NOUN
ajst-27301	53	9	mean	mean	NOUN
ajst-27301	53	10	or	or	CCONJ
ajst-27301	53	11	median	median	ADJ
ajst-27301	53	12	padding	padding	NOUN
ajst-27301	53	13	;	;	PUNCT
ajst-27301	53	14	for	for	ADP
ajst-27301	53	15	categorical	categorical	ADJ
ajst-27301	53	16	data	datum	NOUN
ajst-27301	53	17	,	,	PUNCT
ajst-27301	53	18	mode	mode	NOUN
ajst-27301	53	19	padding	padding	NOUN
ajst-27301	53	20	is	be	AUX
ajst-27301	53	21	used	use	VERB
ajst-27301	53	22	.	.	PUNCT
ajst-27301	54	1	identify	identify	VERB
ajst-27301	54	2	and	and	CCONJ
ajst-27301	54	3	process	process	VERB
ajst-27301	54	4	outliers	outlier	NOUN
ajst-27301	54	5	using	use	VERB
ajst-27301	54	6	statistical	statistical	ADJ
ajst-27301	54	7	methods	method	NOUN
ajst-27301	54	8	such	such	ADJ
ajst-27301	54	9	as	as	ADP
ajst-27301	54	10	z	z	NOUN
ajst-27301	54	11	-	-	PUNCT
ajst-27301	54	12	score	score	NOUN
ajst-27301	54	13	or	or	CCONJ
ajst-27301	54	14	visual	visual	ADJ
ajst-27301	54	15	methods	method	NOUN
ajst-27301	54	16	such	such	ADJ
ajst-27301	54	17	as	as	ADP
ajst-27301	54	18	box	box	NOUN
ajst-27301	54	19	plots	plot	NOUN
ajst-27301	54	20	.	.	PUNCT
ajst-27301	55	1	outliers	outlier	NOUN
ajst-27301	55	2	can	can	AUX
ajst-27301	55	3	be	be	AUX
ajst-27301	55	4	truncated	truncate	VERB
ajst-27301	55	5	,	,	PUNCT
ajst-27301	55	6	replaced	replace	VERB
ajst-27301	55	7	,	,	PUNCT
ajst-27301	55	8	or	or	CCONJ
ajst-27301	55	9	deleted	delete	VERB
ajst-27301	55	10	.	.	PUNCT
ajst-27301	56	1	filter	filter	NOUN
ajst-27301	56	2	is	be	AUX
ajst-27301	56	3	used	use	VERB
ajst-27301	56	4	to	to	PART
ajst-27301	56	5	remove	remove	VERB
ajst-27301	56	6	noise	noise	NOUN
ajst-27301	56	7	from	from	ADP
ajst-27301	56	8	signal	signal	NOUN
ajst-27301	56	9	and	and	CCONJ
ajst-27301	56	10	improve	improve	VERB
ajst-27301	56	11	data	datum	NOUN
ajst-27301	56	12	quality	quality	NOUN
ajst-27301	56	13	.	.	PUNCT
ajst-27301	57	1	for	for	ADP
ajst-27301	57	2	example	example	NOUN
ajst-27301	57	3	,	,	PUNCT
ajst-27301	57	4	a	a	DET
ajst-27301	57	5	lowpass	lowpass	NOUN
ajst-27301	57	6	filter	filter	NOUN
ajst-27301	57	7	is	be	AUX
ajst-27301	57	8	used	use	VERB
ajst-27301	57	9	to	to	PART
ajst-27301	57	10	remove	remove	VERB
ajst-27301	57	11	high	high	ADJ
ajst-27301	57	12	-	-	PUNCT
ajst-27301	57	13	frequency	frequency	NOUN
ajst-27301	57	14	noise	noise	NOUN
ajst-27301	57	15	from	from	ADP
ajst-27301	57	16	an	an	DET
ajst-27301	57	17	electrocardiogram	electrocardiogram	NOUN
ajst-27301	57	18	.	.	PUNCT
ajst-27301	58	1	normalization	normalization	NOUN
ajst-27301	58	2	of	of	ADP
ajst-27301	58	3	numerical	numerical	ADJ
ajst-27301	58	4	data	datum	NOUN
ajst-27301	58	5	to	to	ADP
ajst-27301	58	6	the	the	DET
ajst-27301	58	7	[	[	X
ajst-27301	58	8	0	0	NUM
ajst-27301	58	9	,	,	PUNCT
ajst-27301	58	10	1	1	NUM
ajst-27301	58	11	]	]	PUNCT
ajst-27301	58	12	interval	interval	NOUN
ajst-27301	58	13	or	or	CCONJ
ajst-27301	58	14	z	z	NOUN
ajst-27301	58	15	-	-	PUNCT
ajst-27301	58	16	score	score	NOUN
ajst-27301	58	17	normalization	normalization	NOUN
ajst-27301	58	18	.	.	PUNCT
ajst-27301	59	1	the	the	DET
ajst-27301	59	2	purpose	purpose	NOUN
ajst-27301	59	3	of	of	ADP
ajst-27301	59	4	normalization	normalization	NOUN
ajst-27301	59	5	is	be	AUX
ajst-27301	59	6	to	to	PART
ajst-27301	59	7	scale	scale	VERB
ajst-27301	59	8	data	datum	NOUN
ajst-27301	59	9	to	to	ADP
ajst-27301	59	10	a	a	DET
ajst-27301	59	11	specific	specific	ADJ
ajst-27301	59	12	range	range	NOUN
ajst-27301	59	13	,	,	PUNCT
ajst-27301	59	14	usually	usually	ADV
ajst-27301	59	15	with	with	ADP
ajst-27301	59	16	a	a	DET
ajst-27301	59	17	minimum	minimum	ADJ
ajst-27301	59	18	value	value	NOUN
ajst-27301	59	19	of	of	ADP
ajst-27301	59	20	0	0	NUM
ajst-27301	59	21	and	and	CCONJ
ajst-27301	59	22	a	a	DET
ajst-27301	59	23	maximum	maximum	ADJ
ajst-27301	59	24	value	value	NOUN
ajst-27301	59	25	of	of	ADP
ajst-27301	59	26	1	1	NUM
ajst-27301	59	27	.	.	PUNCT
ajst-27301	60	1	this	this	PRON
ajst-27301	60	2	is	be	AUX
ajst-27301	60	3	achieved	achieve	VERB
ajst-27301	60	4	through	through	ADP
ajst-27301	60	5	the	the	DET
ajst-27301	60	6	following	follow	VERB
ajst-27301	60	7	formula	formula	NOUN
ajst-27301	60	8	:	:	PUNCT
ajst-27301	60	9	�	�	NOUN
ajst-27301	60	10	̅	̅	NOUN
ajst-27301	60	11	�	�	NOUN
ajst-27301	60	12	̅	̅	NOUN
ajst-27301	60	13	(	(	PUNCT
ajst-27301	60	14	1	1	NUM
ajst-27301	60	15	)	)	PUNCT
ajst-27301	60	16	𝑥	𝑥	NOUN
ajst-27301	60	17	is	be	AUX
ajst-27301	60	18	the	the	DET
ajst-27301	60	19	original	original	ADJ
ajst-27301	60	20	data	datum	NOUN
ajst-27301	60	21	point	point	NOUN
ajst-27301	60	22	,	,	PUNCT
ajst-27301	60	23	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
ajst-27301	60	24	𝑥	𝑥	PROPN
ajst-27301	60	25	is	be	AUX
ajst-27301	60	26	the	the	DET
ajst-27301	60	27	smallest	small	ADJ
ajst-27301	60	28	data	data	NOUN
ajst-27301	60	29	point	point	NOUN
ajst-27301	60	30	in	in	ADP
ajst-27301	60	31	the	the	DET
ajst-27301	60	32	dataset	dataset	NOUN
ajst-27301	60	33	,	,	PUNCT
ajst-27301	60	34	𝑚𝑎𝑥	𝑚𝑎𝑥	PRON
ajst-27301	60	35	𝑥	𝑥	PRON
ajst-27301	60	36	is	be	AUX
ajst-27301	60	37	the	the	DET
ajst-27301	60	38	largest	large	ADJ
ajst-27301	60	39	data	datum	NOUN
ajst-27301	60	40	point	point	NOUN
ajst-27301	60	41	in	in	ADP
ajst-27301	60	42	the	the	DET
ajst-27301	60	43	dataset	dataset	NOUN
ajst-27301	60	44	,	,	PUNCT
ajst-27301	60	45	and	and	CCONJ
ajst-27301	60	46	�	�	PROPN
ajst-27301	60	47	̅	̅	NOUN
ajst-27301	60	48	�	�	NOUN
ajst-27301	60	49	is	be	AUX
ajst-27301	60	50	the	the	DET
ajst-27301	60	51	normalized	normalize	VERB
ajst-27301	60	52	data	data	NOUN
ajst-27301	60	53	point	point	NOUN
ajst-27301	60	54	.	.	PUNCT
ajst-27301	61	1	normalization	normalization	NOUN
ajst-27301	61	2	is	be	AUX
ajst-27301	61	3	especially	especially	ADV
ajst-27301	61	4	useful	useful	ADJ
ajst-27301	61	5	when	when	SCONJ
ajst-27301	61	6	algorithms	algorithm	NOUN
ajst-27301	61	7	are	be	AUX
ajst-27301	61	8	scale	scale	NOUN
ajst-27301	61	9	sensitive	sensitive	ADJ
ajst-27301	61	10	to	to	ADP
ajst-27301	61	11	the	the	DET
ajst-27301	61	12	data	datum	NOUN
ajst-27301	61	13	,	,	PUNCT
ajst-27301	61	14	such	such	ADJ
ajst-27301	61	15	as	as	ADP
ajst-27301	61	16	distance	distance	NOUN
ajst-27301	61	17	measurement	measurement	NOUN
ajst-27301	61	18	algorithms	algorithm	NOUN
ajst-27301	61	19	(	(	PUNCT
ajst-27301	61	20	such	such	ADJ
ajst-27301	61	21	as	as	ADP
ajst-27301	61	22	k	k	NOUN
ajst-27301	61	23	-	-	PUNCT
ajst-27301	61	24	nearest	near	ADJ
ajst-27301	61	25	neighbors	neighbor	NOUN
ajst-27301	61	26	)	)	PUNCT
ajst-27301	61	27	,	,	PUNCT
ajst-27301	61	28	neural	neural	ADJ
ajst-27301	61	29	networks	network	NOUN
ajst-27301	61	30	,	,	PUNCT
ajst-27301	61	31	and	and	CCONJ
ajst-27301	61	32	support	support	VERB
ajst-27301	61	33	vector	vector	NOUN
ajst-27301	61	34	machines	machine	NOUN
ajst-27301	61	35	.	.	PUNCT
ajst-27301	62	1	normalization	normalization	NOUN
ajst-27301	62	2	ensures	ensure	VERB
ajst-27301	62	3	that	that	SCONJ
ajst-27301	62	4	the	the	DET
ajst-27301	62	5	contributions	contribution	NOUN
ajst-27301	62	6	of	of	ADP
ajst-27301	62	7	different	different	ADJ
ajst-27301	62	8	features	feature	NOUN
ajst-27301	62	9	are	be	AUX
ajst-27301	62	10	not	not	PART
ajst-27301	62	11	incorrectly	incorrectly	ADV
ajst-27301	62	12	scaled	scale	VERB
ajst-27301	62	13	up	up	ADP
ajst-27301	62	14	or	or	CCONJ
ajst-27301	62	15	down	down	ADV
ajst-27301	62	16	because	because	SCONJ
ajst-27301	62	17	of	of	ADP
ajst-27301	62	18	their	their	PRON
ajst-27301	62	19	original	original	ADJ
ajst-27301	62	20	scale	scale	NOUN
ajst-27301	62	21	.	.	PUNCT
ajst-27301	63	1	the	the	DET
ajst-27301	63	2	goal	goal	NOUN
ajst-27301	63	3	of	of	ADP
ajst-27301	63	4	z	z	NOUN
ajst-27301	63	5	-	-	PUNCT
ajst-27301	63	6	score	score	NOUN
ajst-27301	63	7	standardization	standardization	NOUN
ajst-27301	63	8	is	be	AUX
ajst-27301	63	9	to	to	PART
ajst-27301	63	10	convert	convert	VERB
ajst-27301	63	11	the	the	DET
ajst-27301	63	12	data	datum	NOUN
ajst-27301	63	13	into	into	ADP
ajst-27301	63	14	a	a	DET
ajst-27301	63	15	standard	standard	ADJ
ajst-27301	63	16	normal	normal	ADJ
ajst-27301	63	17	distribution	distribution	NOUN
ajst-27301	63	18	with	with	ADP
ajst-27301	63	19	a	a	DET
ajst-27301	63	20	mean	mean	NOUN
ajst-27301	63	21	of	of	ADP
ajst-27301	63	22	0	0	NUM
ajst-27301	63	23	and	and	CCONJ
ajst-27301	63	24	a	a	DET
ajst-27301	63	25	standard	standard	ADJ
ajst-27301	63	26	deviation	deviation	NOUN
ajst-27301	63	27	of	of	ADP
ajst-27301	63	28	1	1	NUM
ajst-27301	63	29	.	.	PUNCT
ajst-27301	64	1	the	the	DET
ajst-27301	64	2	formula	formula	NOUN
ajst-27301	64	3	is	be	AUX
ajst-27301	64	4	as	as	SCONJ
ajst-27301	64	5	follows	follow	VERB
ajst-27301	64	6	:	:	PUNCT
ajst-27301	64	7	z	z	NOUN
ajst-27301	64	8	(	(	PUNCT
ajst-27301	64	9	2	2	NUM
ajst-27301	64	10	)	)	PUNCT
ajst-27301	64	11	𝑥	𝑥	NOUN
ajst-27301	64	12	is	be	AUX
ajst-27301	64	13	the	the	DET
ajst-27301	64	14	original	original	ADJ
ajst-27301	64	15	data	datum	NOUN
ajst-27301	64	16	point	point	NOUN
ajst-27301	64	17	,	,	PUNCT
ajst-27301	64	18	𝜇	𝜇	X
ajst-27301	64	19	is	be	AUX
ajst-27301	64	20	the	the	DET
ajst-27301	64	21	mean	mean	ADJ
ajst-27301	64	22	value	value	NOUN
ajst-27301	64	23	of	of	ADP
ajst-27301	64	24	the	the	DET
ajst-27301	64	25	data	datum	NOUN
ajst-27301	64	26	set	set	VERB
ajst-27301	64	27	,	,	PUNCT
ajst-27301	64	28	𝛼	𝛼	PROPN
ajst-27301	64	29	is	be	AUX
ajst-27301	64	30	the	the	DET
ajst-27301	64	31	standard	standard	ADJ
ajst-27301	64	32	deviation	deviation	NOUN
ajst-27301	64	33	of	of	ADP
ajst-27301	64	34	the	the	DET
ajst-27301	64	35	data	datum	NOUN
ajst-27301	64	36	set	set	VERB
ajst-27301	64	37	,	,	PUNCT
ajst-27301	64	38	and	and	CCONJ
ajst-27301	64	39	z	z	NOUN
ajst-27301	64	40	is	be	AUX
ajst-27301	64	41	the	the	DET
ajst-27301	64	42	normalized	normalize	VERB
ajst-27301	64	43	data	data	NOUN
ajst-27301	64	44	point	point	NOUN
ajst-27301	64	45	.	.	PUNCT
ajst-27301	65	1	z	z	X
ajst-27301	65	2	-	-	PUNCT
ajst-27301	65	3	score	score	NOUN
ajst-27301	65	4	standardization	standardization	NOUN
ajst-27301	65	5	is	be	AUX
ajst-27301	65	6	appropriate	appropriate	ADJ
ajst-27301	65	7	when	when	SCONJ
ajst-27301	65	8	the	the	DET
ajst-27301	65	9	distribution	distribution	NOUN
ajst-27301	65	10	of	of	ADP
ajst-27301	65	11	the	the	DET
ajst-27301	65	12	data	datum	NOUN
ajst-27301	65	13	is	be	AUX
ajst-27301	65	14	close	close	ADJ
ajst-27301	65	15	to	to	ADP
ajst-27301	65	16	a	a	DET
ajst-27301	65	17	normal	normal	ADJ
ajst-27301	65	18	distribution	distribution	NOUN
ajst-27301	65	19	,	,	PUNCT
ajst-27301	65	20	or	or	CCONJ
ajst-27301	65	21	when	when	SCONJ
ajst-27301	65	22	the	the	DET
ajst-27301	65	23	range	range	NOUN
ajst-27301	65	24	of	of	ADP
ajst-27301	65	25	the	the	DET
ajst-27301	65	26	data	data	NOUN
ajst-27301	65	27	is	be	AUX
ajst-27301	65	28	unknown	unknown	ADJ
ajst-27301	65	29	.	.	PUNCT
ajst-27301	66	1	it	it	PRON
ajst-27301	66	2	helps	help	VERB
ajst-27301	66	3	reduce	reduce	VERB
ajst-27301	66	4	data	datum	NOUN
ajst-27301	66	5	skew	skew	NOUN
ajst-27301	66	6	and	and	CCONJ
ajst-27301	66	7	makes	make	VERB
ajst-27301	66	8	the	the	DET
ajst-27301	66	9	scales	scale	NOUN
ajst-27301	66	10	of	of	ADP
ajst-27301	66	11	different	different	ADJ
ajst-27301	66	12	features	feature	NOUN
ajst-27301	66	13	more	more	ADV
ajst-27301	66	14	consistent	consistent	ADJ
ajst-27301	66	15	,	,	PUNCT
ajst-27301	66	16	which	which	PRON
ajst-27301	66	17	is	be	AUX
ajst-27301	66	18	important	important	ADJ
ajst-27301	66	19	for	for	ADP
ajst-27301	66	20	many	many	ADJ
ajst-27301	66	21	machine	machine	NOUN
ajst-27301	66	22	learning	learn	VERB
ajst-27301	66	23	algorithms	algorithm	NOUN
ajst-27301	66	24	(	(	PUNCT
ajst-27301	66	25	especially	especially	ADV
ajst-27301	66	26	those	those	PRON
ajst-27301	66	27	that	that	PRON
ajst-27301	66	28	assume	assume	VERB
ajst-27301	66	29	the	the	DET
ajst-27301	66	30	input	input	NOUN
ajst-27301	66	31	data	datum	NOUN
ajst-27301	66	32	follows	follow	VERB
ajst-27301	66	33	a	a	DET
ajst-27301	66	34	normal	normal	ADJ
ajst-27301	66	35	distribution	distribution	NOUN
ajst-27301	66	36	,	,	PUNCT
ajst-27301	66	37	such	such	ADJ
ajst-27301	66	38	as	as	ADP
ajst-27301	66	39	linear	linear	PROPN
ajst-27301	66	40	regression	regression	NOUN
ajst-27301	66	41	,	,	PUNCT
ajst-27301	66	42	logistic	logistic	ADJ
ajst-27301	66	43	regression	regression	NOUN
ajst-27301	66	44	,	,	PUNCT
ajst-27301	66	45	and	and	CCONJ
ajst-27301	66	46	neural	neural	ADJ
ajst-27301	66	47	networks	network	NOUN
ajst-27301	66	48	)	)	PUNCT
ajst-27301	66	49	.	.	PUNCT
ajst-27301	67	1	suitable	suitable	ADJ
ajst-27301	67	2	for	for	ADP
ajst-27301	67	3	data	datum	NOUN
ajst-27301	67	4	that	that	PRON
ajst-27301	67	5	contains	contain	VERB
ajst-27301	67	6	many	many	ADJ
ajst-27301	67	7	outliers	outlier	NOUN
ajst-27301	67	8	or	or	CCONJ
ajst-27301	67	9	data	datum	NOUN
ajst-27301	67	10	that	that	PRON
ajst-27301	67	11	is	be	AUX
ajst-27301	67	12	not	not	PART
ajst-27301	67	13	evenly	evenly	ADV
ajst-27301	67	14	distributed	distribute	VERB
ajst-27301	67	15	.	.	PUNCT
ajst-27301	68	1	converts	convert	VERB
ajst-27301	68	2	categorical	categorical	ADJ
ajst-27301	68	3	data	datum	NOUN
ajst-27301	68	4	to	to	ADP
ajst-27301	68	5	numeric	numeric	ADJ
ajst-27301	68	6	data	datum	NOUN
ajst-27301	68	7	,	,	PUNCT
ajst-27301	68	8	such	such	ADJ
ajst-27301	68	9	as	as	ADP
ajst-27301	68	10	one	one	NUM
ajst-27301	68	11	-	-	PUNCT
ajst-27301	68	12	hot	hot	ADJ
ajst-27301	68	13	encoding	encoding	NOUN
ajst-27301	68	14	.	.	PUNCT
ajst-27301	69	1	for	for	ADP
ajst-27301	69	2	example	example	NOUN
ajst-27301	69	3	,	,	PUNCT
ajst-27301	69	4	the	the	DET
ajst-27301	69	5	genders	gender	NOUN
ajst-27301	69	6	"	"	PUNCT
ajst-27301	69	7	male	male	NOUN
ajst-27301	69	8	"	"	PUNCT
ajst-27301	69	9	and	and	CCONJ
ajst-27301	69	10	"	"	PUNCT
ajst-27301	69	11	female	female	NOUN
ajst-27301	69	12	"	"	PUNCT
ajst-27301	69	13	are	be	AUX
ajst-27301	69	14	coded	code	VERB
ajst-27301	69	15	as	as	ADP
ajst-27301	69	16	0	0	NUM
ajst-27301	69	17	and	and	CCONJ
ajst-27301	69	18	1	1	NUM
ajst-27301	69	19	,	,	PUNCT
ajst-27301	69	20	respectively	respectively	ADV
ajst-27301	69	21	.	.	PUNCT
ajst-27301	70	1	the	the	DET
ajst-27301	70	2	image	image	NOUN
ajst-27301	70	3	data	datum	NOUN
ajst-27301	70	4	is	be	AUX
ajst-27301	70	5	clipped	clip	VERB
ajst-27301	70	6	,	,	PUNCT
ajst-27301	70	7	scaled	scale	VERB
ajst-27301	70	8	and	and	CCONJ
ajst-27301	70	9	enhanced	enhance	VERB
ajst-27301	70	10	to	to	PART
ajst-27301	70	11	ensure	ensure	VERB
ajst-27301	70	12	that	that	SCONJ
ajst-27301	70	13	the	the	DET
ajst-27301	70	14	image	image	NOUN
ajst-27301	70	15	format	format	NOUN
ajst-27301	70	16	of	of	ADP
ajst-27301	70	17	the	the	DET
ajst-27301	70	18	25	25	NUM
ajst-27301	70	19	input	input	NOUN
ajst-27301	70	20	model	model	NOUN
ajst-27301	70	21	is	be	AUX
ajst-27301	70	22	consistent	consistent	ADJ
ajst-27301	70	23	.	.	PUNCT
ajst-27301	71	1	for	for	ADP
ajst-27301	71	2	example	example	NOUN
ajst-27301	71	3	,	,	PUNCT
ajst-27301	71	4	crop	crop	NOUN
ajst-27301	71	5	all	all	DET
ajst-27301	71	6	images	image	NOUN
ajst-27301	71	7	uniformly	uniformly	ADV
ajst-27301	71	8	to	to	ADP
ajst-27301	71	9	224x224	224x224	NUM
ajst-27301	71	10	pixels	pixel	NOUN
ajst-27301	71	11	and	and	CCONJ
ajst-27301	71	12	perform	perform	VERB
ajst-27301	71	13	enhancements	enhancement	NOUN
ajst-27301	71	14	such	such	ADJ
ajst-27301	71	15	as	as	ADP
ajst-27301	71	16	random	random	ADJ
ajst-27301	71	17	rotation	rotation	NOUN
ajst-27301	71	18	,	,	PUNCT
ajst-27301	71	19	panning	panning	NOUN
ajst-27301	71	20	,	,	PUNCT
ajst-27301	71	21	and	and	CCONJ
ajst-27301	71	22	scaling	scaling	NOUN
ajst-27301	71	23	.	.	PUNCT
ajst-27301	72	1	3.2	3.2	NUM
ajst-27301	72	2	.	.	PUNCT
ajst-27301	73	1	multi	multi	ADJ
ajst-27301	73	2	-	-	ADJ
ajst-27301	73	3	modal	modal	ADJ
ajst-27301	73	4	ai	ai	PROPN
ajst-27301	73	5	model	model	NOUN
ajst-27301	73	6	construction	construction	NOUN
ajst-27301	73	7	the	the	DET
ajst-27301	73	8	features	feature	NOUN
ajst-27301	73	9	of	of	ADP
ajst-27301	73	10	ecg	ecg	PROPN
ajst-27301	73	11	,	,	PUNCT
ajst-27301	73	12	echocardiogram	echocardiogram	NOUN
ajst-27301	73	13	and	and	CCONJ
ajst-27301	73	14	mri	mri	NOUN
ajst-27301	73	15	images	image	NOUN
ajst-27301	73	16	were	be	AUX
ajst-27301	73	17	extracted	extract	VERB
ajst-27301	73	18	using	use	VERB
ajst-27301	73	19	convolutional	convolutional	ADJ
ajst-27301	73	20	neural	neural	ADJ
ajst-27301	73	21	networks	network	NOUN
ajst-27301	73	22	(	(	PUNCT
ajst-27301	73	23	cnn	cnn	PROPN
ajst-27301	73	24	)	)	PUNCT
ajst-27301	73	25	.	.	PUNCT
ajst-27301	74	1	the	the	DET
ajst-27301	74	2	cnn	cnn	PROPN
ajst-27301	74	3	architecture	architecture	NOUN
ajst-27301	74	4	consists	consist	VERB
ajst-27301	74	5	of	of	ADP
ajst-27301	74	6	multiple	multiple	ADJ
ajst-27301	74	7	convolution	convolution	NOUN
ajst-27301	74	8	layers	layer	NOUN
ajst-27301	74	9	,	,	PUNCT
ajst-27301	74	10	pooling	pool	VERB
ajst-27301	74	11	layers	layer	NOUN
ajst-27301	74	12	,	,	PUNCT
ajst-27301	74	13	and	and	CCONJ
ajst-27301	74	14	activation	activation	NOUN
ajst-27301	74	15	functions	function	NOUN
ajst-27301	74	16	(	(	PUNCT
ajst-27301	74	17	such	such	ADJ
ajst-27301	74	18	as	as	ADP
ajst-27301	74	19	relu	relu	NOUN
ajst-27301	74	20	)	)	PUNCT
ajst-27301	74	21	to	to	PART
ajst-27301	74	22	finally	finally	ADV
ajst-27301	74	23	output	output	VERB
ajst-27301	74	24	image	image	NOUN
ajst-27301	74	25	feature	feature	NOUN
ajst-27301	74	26	vectors	vector	NOUN
ajst-27301	74	27	.	.	PUNCT
ajst-27301	75	1	using	use	VERB
ajst-27301	75	2	pre	pre	ADJ
ajst-27301	75	3	-	-	ADJ
ajst-27301	75	4	trained	train	VERB
ajst-27301	75	5	cnn	cnn	PROPN
ajst-27301	75	6	models	model	NOUN
ajst-27301	75	7	(	(	PUNCT
ajst-27301	75	8	such	such	ADJ
ajst-27301	75	9	as	as	ADP
ajst-27301	75	10	resnet	resnet	NOUN
ajst-27301	75	11	,	,	PUNCT
ajst-27301	75	12	vgg	vgg	NOUN
ajst-27301	75	13	)	)	PUNCT
ajst-27301	75	14	as	as	ADP
ajst-27301	75	15	feature	feature	NOUN
ajst-27301	75	16	extractors	extractor	NOUN
ajst-27301	75	17	,	,	PUNCT
ajst-27301	75	18	the	the	DET
ajst-27301	75	19	accuracy	accuracy	NOUN
ajst-27301	75	20	and	and	CCONJ
ajst-27301	75	21	robustness	robustness	NOUN
ajst-27301	75	22	of	of	ADP
ajst-27301	75	23	feature	feature	NOUN
ajst-27301	75	24	extraction	extraction	NOUN
ajst-27301	75	25	are	be	AUX
ajst-27301	75	26	improved	improve	VERB
ajst-27301	75	27	by	by	ADP
ajst-27301	75	28	transfer	transfer	NOUN
ajst-27301	75	29	learning	learning	NOUN
ajst-27301	75	30	.	.	PUNCT
ajst-27301	76	1	recurrent	recurrent	ADJ
ajst-27301	76	2	neural	neural	ADJ
ajst-27301	76	3	networks	network	NOUN
ajst-27301	76	4	(	(	PUNCT
ajst-27301	76	5	rnn	rnn	PROPN
ajst-27301	76	6	)	)	PUNCT
ajst-27301	76	7	were	be	AUX
ajst-27301	76	8	used	use	VERB
ajst-27301	76	9	to	to	PART
ajst-27301	76	10	extract	extract	VERB
ajst-27301	76	11	time	time	NOUN
ajst-27301	76	12	series	series	PROPN
ajst-27301	76	13	features	feature	NOUN
ajst-27301	76	14	of	of	ADP
ajst-27301	76	15	ecg	ecg	PROPN
ajst-27301	76	16	.	.	PROPN
ajst-27301	76	17	rnn	rnn	PROPN
ajst-27301	76	18	architecture	architecture	NOUN
ajst-27301	76	19	can	can	AUX
ajst-27301	76	20	capture	capture	VERB
ajst-27301	76	21	long	long	ADJ
ajst-27301	76	22	-	-	PUNCT
ajst-27301	76	23	term	term	NOUN
ajst-27301	76	24	dependencies	dependency	NOUN
ajst-27301	76	25	of	of	ADP
ajst-27301	76	26	time	time	NOUN
ajst-27301	76	27	series	series	PROPN
ajst-27301	76	28	data	datum	NOUN
ajst-27301	76	29	and	and	CCONJ
ajst-27301	76	30	output	output	NOUN
ajst-27301	76	31	sequence	sequence	NOUN
ajst-27301	76	32	feature	feature	NOUN
ajst-27301	76	33	vectors	vector	NOUN
ajst-27301	76	34	.	.	PUNCT
ajst-27301	77	1	bi	bi	ADJ
ajst-27301	77	2	-	-	ADJ
ajst-27301	77	3	directional	directional	ADJ
ajst-27301	77	4	rnn	rnn	NOUN
ajst-27301	77	5	(	(	PUNCT
ajst-27301	77	6	birnn	birnn	NOUN
ajst-27301	77	7	)	)	PUNCT
ajst-27301	77	8	captures	capture	VERB
ajst-27301	77	9	features	feature	NOUN
ajst-27301	77	10	in	in	ADP
ajst-27301	77	11	both	both	CCONJ
ajst-27301	77	12	positive	positive	ADJ
ajst-27301	77	13	and	and	CCONJ
ajst-27301	77	14	negative	negative	ADJ
ajst-27301	77	15	directions	direction	NOUN
ajst-27301	77	16	to	to	PART
ajst-27301	77	17	improve	improve	VERB
ajst-27301	77	18	the	the	DET
ajst-27301	77	19	richness	richness	NOUN
ajst-27301	77	20	of	of	ADP
ajst-27301	77	21	feature	feature	NOUN
ajst-27301	77	22	representation	representation	NOUN
ajst-27301	77	23	.	.	PUNCT
ajst-27301	78	1	for	for	ADP
ajst-27301	78	2	example	example	NOUN
ajst-27301	78	3	,	,	PUNCT
ajst-27301	78	4	bi	bi	NOUN
ajst-27301	78	5	-	-	ADJ
ajst-27301	78	6	lstm	lstm	ADJ
ajst-27301	78	7	is	be	AUX
ajst-27301	78	8	used	use	VERB
ajst-27301	78	9	to	to	PART
ajst-27301	78	10	extract	extract	VERB
ajst-27301	78	11	qrs	qrs	PROPN
ajst-27301	78	12	wave	wave	NOUN
ajst-27301	78	13	groups	group	NOUN
ajst-27301	78	14	and	and	CCONJ
ajst-27301	78	15	st	st	PROPN
ajst-27301	78	16	segment	segment	NOUN
ajst-27301	78	17	features	feature	VERB
ajst-27301	78	18	from	from	ADP
ajst-27301	78	19	electrocardiograms	electrocardiogram	NOUN
ajst-27301	78	20	.	.	PUNCT
ajst-27301	79	1	the	the	DET
ajst-27301	79	2	full	full	ADJ
ajst-27301	79	3	connectivity	connectivity	NOUN
ajst-27301	79	4	layer	layer	NOUN
ajst-27301	79	5	(	(	PUNCT
ajst-27301	79	6	fc	fc	INTJ
ajst-27301	79	7	)	)	PUNCT
ajst-27301	79	8	is	be	AUX
ajst-27301	79	9	used	use	VERB
ajst-27301	79	10	to	to	PART
ajst-27301	79	11	process	process	VERB
ajst-27301	79	12	clinical	clinical	ADJ
ajst-27301	79	13	and	and	CCONJ
ajst-27301	79	14	genomic	genomic	ADJ
ajst-27301	79	15	data	datum	NOUN
ajst-27301	79	16	.	.	PUNCT
ajst-27301	80	1	the	the	DET
ajst-27301	80	2	fc	fc	PROPN
ajst-27301	80	3	layer	layer	NOUN
ajst-27301	80	4	extracts	extract	VERB
ajst-27301	80	5	higher	high	ADJ
ajst-27301	80	6	-	-	PUNCT
ajst-27301	80	7	order	order	NOUN
ajst-27301	80	8	features	feature	NOUN
ajst-27301	80	9	by	by	ADP
ajst-27301	80	10	multi	multi	ADJ
ajst-27301	80	11	-	-	ADJ
ajst-27301	80	12	layer	layer	ADJ
ajst-27301	80	13	perceptron	perceptron	NOUN
ajst-27301	80	14	(	(	PUNCT
ajst-27301	80	15	mlp	mlp	PROPN
ajst-27301	80	16	)	)	PUNCT
ajst-27301	80	17	and	and	CCONJ
ajst-27301	80	18	outputs	output	VERB
ajst-27301	80	19	feature	feature	NOUN
ajst-27301	80	20	vectors	vector	NOUN
ajst-27301	80	21	.	.	PUNCT
ajst-27301	81	1	methods	method	NOUN
ajst-27301	81	2	such	such	ADJ
ajst-27301	81	3	as	as	ADP
ajst-27301	81	4	recursive	recursive	ADJ
ajst-27301	81	5	feature	feature	NOUN
ajst-27301	81	6	elimination	elimination	NOUN
ajst-27301	81	7	(	(	PUNCT
ajst-27301	81	8	rfe	rfe	NOUN
ajst-27301	81	9	)	)	PUNCT
ajst-27301	81	10	or	or	CCONJ
ajst-27301	81	11	lasso	lasso	NOUN
ajst-27301	81	12	regression	regression	NOUN
ajst-27301	81	13	were	be	AUX
ajst-27301	81	14	used	use	VERB
ajst-27301	81	15	to	to	PART
ajst-27301	81	16	screen	screen	VERB
ajst-27301	81	17	out	out	ADP
ajst-27301	81	18	features	feature	NOUN
ajst-27301	81	19	that	that	PRON
ajst-27301	81	20	were	be	AUX
ajst-27301	81	21	highly	highly	ADV
ajst-27301	81	22	correlated	correlate	VERB
ajst-27301	81	23	with	with	ADP
ajst-27301	81	24	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	81	25	phenotypes	phenotype	NOUN
ajst-27301	81	26	.	.	PUNCT
ajst-27301	82	1	the	the	DET
ajst-27301	82	2	contribution	contribution	NOUN
ajst-27301	82	3	of	of	ADP
ajst-27301	82	4	each	each	DET
ajst-27301	82	5	feature	feature	NOUN
ajst-27301	82	6	to	to	ADP
ajst-27301	82	7	the	the	DET
ajst-27301	82	8	model	model	NOUN
ajst-27301	82	9	prediction	prediction	NOUN
ajst-27301	82	10	is	be	AUX
ajst-27301	82	11	determined	determine	VERB
ajst-27301	82	12	by	by	ADP
ajst-27301	82	13	the	the	DET
ajst-27301	82	14	feature	feature	NOUN
ajst-27301	82	15	importance	importance	NOUN
ajst-27301	82	16	score	score	NOUN
ajst-27301	82	17	.	.	PUNCT
ajst-27301	83	1	the	the	DET
ajst-27301	83	2	feature	feature	NOUN
ajst-27301	83	3	vectors	vector	NOUN
ajst-27301	83	4	of	of	ADP
ajst-27301	83	5	different	different	ADJ
ajst-27301	83	6	modes	mode	NOUN
ajst-27301	83	7	are	be	AUX
ajst-27301	83	8	spliced	splice	VERB
ajst-27301	83	9	together	together	ADV
ajst-27301	83	10	and	and	CCONJ
ajst-27301	83	11	fused	fuse	VERB
ajst-27301	83	12	through	through	ADP
ajst-27301	83	13	one	one	NUM
ajst-27301	83	14	or	or	CCONJ
ajst-27301	83	15	more	more	ADV
ajst-27301	83	16	fully	fully	ADV
ajst-27301	83	17	connected	connected	ADJ
ajst-27301	83	18	layers	layer	NOUN
ajst-27301	83	19	.	.	PUNCT
ajst-27301	84	1	for	for	ADP
ajst-27301	84	2	example	example	NOUN
ajst-27301	84	3	,	,	PUNCT
ajst-27301	84	4	image	image	NOUN
ajst-27301	84	5	feature	feature	NOUN
ajst-27301	84	6	vector	vector	NOUN
ajst-27301	84	7	,	,	PUNCT
ajst-27301	84	8	sequence	sequence	NOUN
ajst-27301	84	9	feature	feature	NOUN
ajst-27301	84	10	vector	vector	NOUN
ajst-27301	84	11	and	and	CCONJ
ajst-27301	84	12	clinical	clinical	ADJ
ajst-27301	84	13	genome	genome	NOUN
ajst-27301	84	14	feature	feature	NOUN
ajst-27301	84	15	vector	vector	NOUN
ajst-27301	84	16	are	be	AUX
ajst-27301	84	17	spliced	splice	VERB
ajst-27301	84	18	into	into	ADP
ajst-27301	84	19	a	a	DET
ajst-27301	84	20	highdimensional	highdimensional	ADJ
ajst-27301	84	21	feature	feature	NOUN
ajst-27301	84	22	vector	vector	NOUN
ajst-27301	84	23	.	.	PUNCT
ajst-27301	85	1	the	the	DET
ajst-27301	85	2	softmax	softmax	NOUN
ajst-27301	85	3	function	function	NOUN
ajst-27301	85	4	is	be	AUX
ajst-27301	85	5	used	use	VERB
ajst-27301	85	6	for	for	ADP
ajst-27301	85	7	multiple	multiple	ADJ
ajst-27301	85	8	classifications	classification	NOUN
ajst-27301	85	9	to	to	PART
ajst-27301	85	10	identify	identify	VERB
ajst-27301	85	11	different	different	ADJ
ajst-27301	85	12	types	type	NOUN
ajst-27301	85	13	of	of	ADP
ajst-27301	85	14	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	85	15	.	.	PUNCT
ajst-27301	86	1	the	the	DET
ajst-27301	86	2	number	number	NOUN
ajst-27301	86	3	of	of	ADP
ajst-27301	86	4	neurons	neuron	NOUN
ajst-27301	86	5	in	in	ADP
ajst-27301	86	6	the	the	DET
ajst-27301	86	7	output	output	NOUN
ajst-27301	86	8	layer	layer	NOUN
ajst-27301	86	9	is	be	AUX
ajst-27301	86	10	equal	equal	ADJ
ajst-27301	86	11	to	to	ADP
ajst-27301	86	12	the	the	DET
ajst-27301	86	13	number	number	NOUN
ajst-27301	86	14	of	of	ADP
ajst-27301	86	15	categories	category	NOUN
ajst-27301	86	16	of	of	ADP
ajst-27301	86	17	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	86	18	,	,	PUNCT
ajst-27301	86	19	with	with	ADP
ajst-27301	86	20	each	each	DET
ajst-27301	86	21	neuron	neuron	NOUN
ajst-27301	86	22	corresponding	correspond	VERB
ajst-27301	86	23	to	to	ADP
ajst-27301	86	24	one	one	NUM
ajst-27301	86	25	category	category	NOUN
ajst-27301	86	26	.	.	PUNCT
ajst-27301	87	1	3.3	3.3	NUM
ajst-27301	87	2	.	.	PUNCT
ajst-27301	87	3	type	type	NOUN
ajst-27301	87	4	training	training	NOUN
ajst-27301	87	5	and	and	CCONJ
ajst-27301	87	6	validation	validation	NOUN
ajst-27301	87	7	the	the	DET
ajst-27301	87	8	data	datum	NOUN
ajst-27301	87	9	set	set	VERB
ajst-27301	87	10	was	be	AUX
ajst-27301	87	11	randomly	randomly	ADV
ajst-27301	87	12	divided	divide	VERB
ajst-27301	87	13	into	into	ADP
ajst-27301	87	14	training	training	NOUN
ajst-27301	87	15	set	set	NOUN
ajst-27301	87	16	,	,	PUNCT
ajst-27301	87	17	validation	validation	NOUN
ajst-27301	87	18	set	set	NOUN
ajst-27301	87	19	and	and	CCONJ
ajst-27301	87	20	test	test	NOUN
ajst-27301	87	21	set	set	VERB
ajst-27301	87	22	,	,	PUNCT
ajst-27301	87	23	with	with	ADP
ajst-27301	87	24	the	the	DET
ajst-27301	87	25	proportions	proportion	NOUN
ajst-27301	87	26	of	of	ADP
ajst-27301	87	27	70	70	NUM
ajst-27301	87	28	%	%	NOUN
ajst-27301	87	29	,	,	PUNCT
ajst-27301	87	30	15	15	NUM
ajst-27301	87	31	%	%	NOUN
ajst-27301	87	32	and	and	CCONJ
ajst-27301	87	33	15	15	NUM
ajst-27301	87	34	%	%	NOUN
ajst-27301	87	35	,	,	PUNCT
ajst-27301	87	36	respectively	respectively	ADV
ajst-27301	87	37	.	.	PUNCT
ajst-27301	88	1	ensure	ensure	VERB
ajst-27301	88	2	that	that	SCONJ
ajst-27301	88	3	the	the	DET
ajst-27301	88	4	rates	rate	NOUN
ajst-27301	88	5	of	of	ADP
ajst-27301	88	6	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	88	7	in	in	ADP
ajst-27301	88	8	each	each	DET
ajst-27301	88	9	subset	subset	NOUN
ajst-27301	88	10	are	be	AUX
ajst-27301	88	11	consistent	consistent	ADJ
ajst-27301	88	12	with	with	ADP
ajst-27301	88	13	the	the	DET
ajst-27301	88	14	overall	overall	ADJ
ajst-27301	88	15	data	datum	NOUN
ajst-27301	88	16	.	.	PUNCT
ajst-27301	89	1	stratified	stratified	ADJ
ajst-27301	89	2	sampling	sampling	NOUN
ajst-27301	89	3	method	method	NOUN
ajst-27301	89	4	was	be	AUX
ajst-27301	89	5	used	use	VERB
ajst-27301	89	6	to	to	PART
ajst-27301	89	7	ensure	ensure	VERB
ajst-27301	89	8	that	that	SCONJ
ajst-27301	89	9	the	the	DET
ajst-27301	89	10	proportion	proportion	NOUN
ajst-27301	89	11	of	of	ADP
ajst-27301	89	12	various	various	ADJ
ajst-27301	89	13	cardiomyopathy	cardiomyopathy	NOUN
ajst-27301	89	14	in	in	ADP
ajst-27301	89	15	each	each	DET
ajst-27301	89	16	subset	subset	NOUN
ajst-27301	89	17	was	be	AUX
ajst-27301	89	18	consistent	consistent	ADJ
ajst-27301	89	19	with	with	ADP
ajst-27301	89	20	the	the	DET
ajst-27301	89	21	overall	overall	ADJ
ajst-27301	89	22	data	datum	NOUN
ajst-27301	89	23	to	to	PART
ajst-27301	89	24	avoid	avoid	VERB
ajst-27301	89	25	the	the	DET
ajst-27301	89	26	problem	problem	NOUN
ajst-27301	89	27	of	of	ADP
ajst-27301	89	28	category	category	NOUN
ajst-27301	89	29	imbalance	imbalance	NOUN
ajst-27301	89	30	.	.	PUNCT
ajst-27301	90	1	rotation	rotation	NOUN
ajst-27301	90	2	,	,	PUNCT
ajst-27301	90	3	translation	translation	NOUN
ajst-27301	90	4	,	,	PUNCT
ajst-27301	90	5	scaling	scaling	NOUN
ajst-27301	90	6	and	and	CCONJ
ajst-27301	90	7	other	other	ADJ
ajst-27301	90	8	enhancement	enhancement	NOUN
ajst-27301	90	9	operations	operation	NOUN
ajst-27301	90	10	are	be	AUX
ajst-27301	90	11	carried	carry	VERB
ajst-27301	90	12	out	out	ADP
ajst-27301	90	13	to	to	PART
ajst-27301	90	14	enhance	enhance	VERB
ajst-27301	90	15	the	the	DET
ajst-27301	90	16	generalization	generalization	NOUN
ajst-27301	90	17	ability	ability	NOUN
ajst-27301	90	18	of	of	ADP
ajst-27301	90	19	the	the	DET
ajst-27301	90	20	model	model	NOUN
ajst-27301	90	21	.	.	PUNCT
ajst-27301	91	1	for	for	ADP
ajst-27301	91	2	example	example	NOUN
ajst-27301	91	3	,	,	PUNCT
ajst-27301	91	4	use	use	VERB
ajst-27301	91	5	random	random	ADJ
ajst-27301	91	6	rotation	rotation	NOUN
ajst-27301	91	7	(	(	PUNCT
ajst-27301	91	8	±10	±10	NOUN
ajst-27301	91	9	°	°	NUM
ajst-27301	91	10	)	)	PUNCT
ajst-27301	91	11	,	,	PUNCT
ajst-27301	91	12	random	random	ADJ
ajst-27301	91	13	translation	translation	NOUN
ajst-27301	91	14	(	(	PUNCT
ajst-27301	91	15	±10	±10	NOUN
ajst-27301	91	16	%	%	NOUN
ajst-27301	91	17	)	)	PUNCT
ajst-27301	91	18	,	,	PUNCT
ajst-27301	91	19	and	and	CCONJ
ajst-27301	91	20	random	random	ADJ
ajst-27301	91	21	scaling	scaling	NOUN
ajst-27301	91	22	(	(	PUNCT
ajst-27301	91	23	0.9	0.9	NUM
ajst-27301	91	24	-	-	SYM
ajst-27301	91	25	1.1	1.1	NUM
ajst-27301	91	26	times	time	NOUN
ajst-27301	91	27	)	)	PUNCT
ajst-27301	91	28	.	.	PUNCT
ajst-27301	92	1	the	the	DET
ajst-27301	92	2	ecg	ecg	PROPN
ajst-27301	92	3	data	datum	NOUN
ajst-27301	92	4	were	be	AUX
ajst-27301	92	5	randomly	randomly	ADV
ajst-27301	92	6	clipped	clip	VERB
ajst-27301	92	7	and	and	CCONJ
ajst-27301	92	8	scaled	scale	VERB
ajst-27301	92	9	on	on	ADP
ajst-27301	92	10	the	the	DET
ajst-27301	92	11	timeline	timeline	NOUN
ajst-27301	92	12	to	to	PART
ajst-27301	92	13	simulate	simulate	VERB
ajst-27301	92	14	the	the	DET
ajst-27301	92	15	data	data	NOUN
ajst-27301	92	16	changes	change	NOUN
ajst-27301	92	17	under	under	ADP
ajst-27301	92	18	different	different	ADJ
ajst-27301	92	19	sampling	sampling	NOUN
ajst-27301	92	20	conditions	condition	NOUN
ajst-27301	92	21	.	.	PUNCT
ajst-27301	93	1	for	for	ADP
ajst-27301	93	2	example	example	NOUN
ajst-27301	93	3	,	,	PUNCT
ajst-27301	93	4	use	use	VERB
ajst-27301	93	5	random	random	ADJ
ajst-27301	93	6	cropping	cropping	NOUN
ajst-27301	93	7	(	(	PUNCT
ajst-27301	93	8	±10	±10	NOUN
ajst-27301	93	9	%	%	NOUN
ajst-27301	93	10	)	)	PUNCT
ajst-27301	93	11	and	and	CCONJ
ajst-27301	93	12	random	random	ADJ
ajst-27301	93	13	scaling	scaling	NOUN
ajst-27301	93	14	(	(	PUNCT
ajst-27301	93	15	0.9	0.9	NUM
ajst-27301	93	16	-	-	SYM
ajst-27301	93	17	1.1	1.1	NUM
ajst-27301	93	18	times	time	NOUN
ajst-27301	93	19	)	)	PUNCT
ajst-27301	93	20	.	.	PUNCT
ajst-27301	94	1	use	use	VERB
ajst-27301	94	2	the	the	DET
ajst-27301	94	3	grid	grid	NOUN
ajst-27301	94	4	search	search	NOUN
ajst-27301	94	5	method	method	NOUN
ajst-27301	94	6	to	to	PART
ajst-27301	94	7	find	find	VERB
ajst-27301	94	8	the	the	DET
ajst-27301	94	9	best	good	ADJ
ajst-27301	94	10	combination	combination	NOUN
ajst-27301	94	11	of	of	ADP
ajst-27301	94	12	hyperparameters	hyperparameter	NOUN
ajst-27301	94	13	.	.	PUNCT
ajst-27301	95	1	for	for	ADP
ajst-27301	95	2	example	example	NOUN
ajst-27301	95	3	,	,	PUNCT
ajst-27301	95	4	search	search	NOUN
ajst-27301	95	5	for	for	ADP
ajst-27301	95	6	learning	learn	VERB
ajst-27301	95	7	rate	rate	NOUN
ajst-27301	95	8	(	(	PUNCT
ajst-27301	95	9	0.001	0.001	NUM
ajst-27301	95	10	,	,	PUNCT
ajst-27301	95	11	0.01	0.01	NUM
ajst-27301	95	12	,	,	PUNCT
ajst-27301	95	13	0.1	0.1	NUM
ajst-27301	95	14	)	)	PUNCT
ajst-27301	95	15	,	,	PUNCT
ajst-27301	95	16	batch	batch	NOUN
ajst-27301	95	17	size	size	NOUN
ajst-27301	95	18	(	(	PUNCT
ajst-27301	95	19	16	16	NUM
ajst-27301	95	20	,	,	PUNCT
ajst-27301	95	21	32	32	NUM
ajst-27301	95	22	,	,	PUNCT
ajst-27301	95	23	64	64	NUM
ajst-27301	95	24	)	)	PUNCT
ajst-27301	95	25	,	,	PUNCT
ajst-27301	95	26	regularization	regularization	NOUN
ajst-27301	95	27	coefficient	coefficient	NOUN
ajst-27301	95	28	(	(	PUNCT
ajst-27301	95	29	0.001	0.001	NUM
ajst-27301	95	30	,	,	PUNCT
ajst-27301	95	31	0.01	0.01	NUM
ajst-27301	95	32	,	,	PUNCT
ajst-27301	95	33	0.1	0.1	NUM
ajst-27301	95	34	)	)	PUNCT
ajst-27301	95	35	,	,	PUNCT
ajst-27301	95	36	etc	etc	X
ajst-27301	95	37	.	.	X
ajst-27301	96	1	the	the	DET
ajst-27301	96	2	random	random	ADJ
ajst-27301	96	3	search	search	NOUN
ajst-27301	96	4	method	method	NOUN
ajst-27301	96	5	is	be	AUX
ajst-27301	96	6	used	use	VERB
ajst-27301	96	7	to	to	PART
ajst-27301	96	8	randomly	randomly	VERB
ajst-27301	96	9	select	select	VERB
ajst-27301	96	10	the	the	DET
ajst-27301	96	11	hyperparameter	hyperparameter	NOUN
ajst-27301	96	12	combination	combination	NOUN
ajst-27301	96	13	for	for	ADP
ajst-27301	96	14	training	training	NOUN
ajst-27301	96	15	and	and	CCONJ
ajst-27301	96	16	find	find	VERB
ajst-27301	96	17	the	the	DET
ajst-27301	96	18	optimal	optimal	ADJ
ajst-27301	96	19	hyperparameter	hyperparameter	NOUN
ajst-27301	96	20	combination	combination	NOUN
ajst-27301	96	21	.	.	PUNCT
ajst-27301	97	1	the	the	DET
ajst-27301	97	2	crossentropy	crossentropy	NOUN
ajst-27301	97	3	loss	loss	NOUN
ajst-27301	97	4	function	function	NOUN
ajst-27301	97	5	is	be	AUX
ajst-27301	97	6	used	use	VERB
ajst-27301	97	7	as	as	ADP
ajst-27301	97	8	the	the	DET
ajst-27301	97	9	loss	loss	NOUN
ajst-27301	97	10	function	function	NOUN
ajst-27301	97	11	for	for	ADP
ajst-27301	97	12	multiple	multiple	ADJ
ajst-27301	97	13	classification	classification	NOUN
ajst-27301	97	14	tasks	task	NOUN
ajst-27301	97	15	.	.	PUNCT
ajst-27301	98	1	the	the	DET
ajst-27301	98	2	formula	formula	NOUN
ajst-27301	98	3	of	of	ADP
ajst-27301	98	4	cross	cross	PROPN
ajst-27301	98	5	entropy	entropy	PROPN
ajst-27301	98	6	loss	loss	NOUN
ajst-27301	98	7	function	function	NOUN
ajst-27301	98	8	is	be	AUX
ajst-27301	98	9	l	l	NOUN
ajst-27301	98	10	∑	∑	PUNCT
ajst-27301	98	11	𝑦𝔦𝐼𝑜𝑔	𝑦𝔦𝐼𝑜𝑔	VERB
ajst-27301	98	12	𝑝𝔦𝔦	𝑝𝔦𝔦	NOUN
ajst-27301	98	13	(	(	PUNCT
ajst-27301	98	14	3	3	NUM
ajst-27301	98	15	)	)	PUNCT
ajst-27301	98	16	where	where	SCONJ
ajst-27301	98	17	𝑦𝔦	𝑦𝔦	NOUN
ajst-27301	98	18	is	be	AUX
ajst-27301	98	19	the	the	DET
ajst-27301	98	20	label	label	NOUN
ajst-27301	98	21	,	,	PUNCT
ajst-27301	98	22	𝑝𝔦	𝑝𝔦	NOUN
ajst-27301	98	23	is	be	AUX
ajst-27301	98	24	the	the	DET
ajst-27301	98	25	prediction	prediction	NOUN
ajst-27301	98	26	probability	probability	NOUN
ajst-27301	98	27	,	,	PUNCT
ajst-27301	98	28	l	l	NOUN
ajst-27301	98	29	represents	represent	VERB
ajst-27301	98	30	the	the	DET
ajst-27301	98	31	loss	loss	NOUN
ajst-27301	98	32	value	value	NOUN
ajst-27301	98	33	,	,	PUNCT
ajst-27301	98	34	and	and	CCONJ
ajst-27301	98	35	the	the	DET
ajst-27301	98	36	smaller	small	ADJ
ajst-27301	98	37	the	the	DET
ajst-27301	98	38	value	value	NOUN
ajst-27301	98	39	,	,	PUNCT
ajst-27301	98	40	the	the	DET
ajst-27301	98	41	more	more	ADV
ajst-27301	98	42	accurate	accurate	ADJ
ajst-27301	98	43	the	the	DET
ajst-27301	98	44	prediction	prediction	NOUN
ajst-27301	98	45	.	.	PUNCT
ajst-27301	99	1	∑	∑	X
ajst-27301	99	2	0𝔦	0𝔦	VERB
ajst-27301	99	3	the	the	DET
ajst-27301	99	4	summation	summation	NOUN
ajst-27301	99	5	symbol	symbol	NOUN
ajst-27301	99	6	for	for	ADP
ajst-27301	99	7	summing	sum	VERB
ajst-27301	99	8	over	over	ADP
ajst-27301	99	9	all	all	DET
ajst-27301	99	10	classes	class	NOUN
ajst-27301	99	11	where	where	SCONJ
ajst-27301	99	12	the	the	DET
ajst-27301	99	13	summation	summation	NOUN
ajst-27301	99	14	is	be	AUX
ajst-27301	99	15	from	from	ADP
ajst-27301	99	16	1	1	NUM
ajst-27301	99	17	to	to	ADP
ajst-27301	99	18	c.	c.	PROPN
ajst-27301	99	19	𝔦	𝔦	PROPN
ajst-27301	99	20	indicates	indicate	VERB
ajst-27301	99	21	the	the	DET
ajst-27301	99	22	index	index	NOUN
ajst-27301	99	23	of	of	ADP
ajst-27301	99	24	the	the	DET
ajst-27301	99	25	class	class	NOUN
ajst-27301	99	26	.	.	PUNCT
ajst-27301	100	1	if	if	SCONJ
ajst-27301	100	2	there	there	PRON
ajst-27301	100	3	are	be	VERB
ajst-27301	100	4	three	three	NUM
ajst-27301	100	5	indexes	index	NOUN
ajst-27301	100	6	,	,	PUNCT
ajst-27301	100	7	the	the	DET
ajst-27301	100	8	values	value	NOUN
ajst-27301	100	9	are	be	AUX
ajst-27301	100	10	1,2	1,2	NUM
ajst-27301	100	11	,	,	PUNCT
ajst-27301	100	12	and	and	CCONJ
ajst-27301	100	13	3	3	X
ajst-27301	100	14	.	.	X
ajst-27301	100	15	c	c	PROPN
ajst-27301	100	16	represents	represent	VERB
ajst-27301	100	17	the	the	DET
ajst-27301	100	18	sum	sum	NOUN
ajst-27301	100	19	of	of	ADP
ajst-27301	100	20	the	the	DET
ajst-27301	100	21	categories	category	NOUN
ajst-27301	100	22	,	,	PUNCT
ajst-27301	100	23	and	and	CCONJ
ajst-27301	100	24	if	if	SCONJ
ajst-27301	100	25	there	there	PRON
ajst-27301	100	26	are	be	VERB
ajst-27301	100	27	5	5	NUM
ajst-27301	100	28	types	type	NOUN
ajst-27301	100	29	of	of	ADP
ajst-27301	100	30	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	100	31	(	(	PUNCT
ajst-27301	100	32	hcm	hcm	PROPN
ajst-27301	100	33	,	,	PUNCT
ajst-27301	100	34	dcm	dcm	PROPN
ajst-27301	100	35	,	,	PUNCT
ajst-27301	100	36	arvc	arvc	NOUN
ajst-27301	100	37	,	,	PUNCT
ajst-27301	100	38	ndlvc	ndlvc	ADP
ajst-27301	100	39	,	,	PUNCT
ajst-27301	100	40	rcm	rcm	PROPN
ajst-27301	100	41	)	)	PUNCT
ajst-27301	100	42	,	,	PUNCT
ajst-27301	100	43	then	then	ADV
ajst-27301	100	44	c	c	PROPN
ajst-27301	100	45	5	5	NUM
ajst-27301	100	46	.	.	PUNCT
ajst-27301	100	47	𝑦𝔦represents	𝑦𝔦represent	NOUN
ajst-27301	100	48	the	the	DET
ajst-27301	100	49	true	true	ADJ
ajst-27301	100	50	label	label	NOUN
ajst-27301	100	51	of	of	ADP
ajst-27301	100	52	category𝔦	category𝔦	NOUN
ajst-27301	100	53	,	,	PUNCT
ajst-27301	100	54	which	which	PRON
ajst-27301	100	55	is	be	AUX
ajst-27301	100	56	a	a	DET
ajst-27301	100	57	binary	binary	ADJ
ajst-27301	100	58	variable	variable	NOUN
ajst-27301	100	59	(	(	PUNCT
ajst-27301	100	60	0	0	NUM
ajst-27301	100	61	or	or	CCONJ
ajst-27301	100	62	1	1	NUM
ajst-27301	100	63	)	)	PUNCT
ajst-27301	100	64	indicating	indicate	VERB
ajst-27301	100	65	whether	whether	SCONJ
ajst-27301	100	66	a	a	DET
ajst-27301	100	67	sample	sample	NOUN
ajst-27301	100	68	belongs	belong	VERB
ajst-27301	100	69	to	to	ADP
ajst-27301	100	70	category	category	NOUN
ajst-27301	100	71	𝔦	𝔦	PART
ajst-27301	100	72	,	,	PUNCT
ajst-27301	100	73	if	if	SCONJ
ajst-27301	100	74	it	it	PRON
ajst-27301	100	75	does	do	VERB
ajst-27301	100	76	,	,	PUNCT
ajst-27301	100	77	then	then	ADV
ajst-27301	100	78	𝑦𝔦	𝑦𝔦	NOUN
ajst-27301	100	79	1	1	NUM
ajst-27301	100	80	,	,	PUNCT
ajst-27301	100	81	otherwise	otherwise	ADV
ajst-27301	100	82	𝑦𝔦	𝑦𝔦	NOUN
ajst-27301	100	83	0	0	NUM
ajst-27301	100	84	adam	adam	PROPN
ajst-27301	100	85	optimizer	optimizer	NOUN
ajst-27301	100	86	was	be	AUX
ajst-27301	100	87	used	use	VERB
ajst-27301	100	88	for	for	ADP
ajst-27301	100	89	gradient	gradient	ADJ
ajst-27301	100	90	descent	descent	NOUN
ajst-27301	100	91	to	to	PART
ajst-27301	100	92	accelerate	accelerate	VERB
ajst-27301	100	93	model	model	NOUN
ajst-27301	100	94	convergence	convergence	NOUN
ajst-27301	100	95	.	.	PUNCT
ajst-27301	101	1	the	the	DET
ajst-27301	101	2	adam	adam	PROPN
ajst-27301	101	3	optimizer	optimizer	NOUN
ajst-27301	101	4	combines	combine	VERB
ajst-27301	101	5	the	the	DET
ajst-27301	101	6	advantages	advantage	NOUN
ajst-27301	101	7	of	of	ADP
ajst-27301	101	8	momentum	momentum	NOUN
ajst-27301	101	9	and	and	CCONJ
ajst-27301	101	10	rmsprop	rmsprop	NOUN
ajst-27301	101	11	,	,	PUNCT
ajst-27301	101	12	and	and	CCONJ
ajst-27301	101	13	the	the	DET
ajst-27301	101	14	formula	formula	NOUN
ajst-27301	101	15	is	be	AUX
ajst-27301	101	16	𝑚𝔦	𝑚𝔦	ADP
ajst-27301	101	17	𝛽	𝛽	NOUN
ajst-27301	101	18	𝑚𝔦	𝑚𝔦	ADP
ajst-27301	101	19	1	1	NUM
ajst-27301	101	20	𝛽	𝛽	NOUN
ajst-27301	101	21	𝑔	𝑔	X
ajst-27301	101	22	(	(	PUNCT
ajst-27301	101	23	4	4	NUM
ajst-27301	101	24	)	)	PUNCT
ajst-27301	101	25	𝑚𝔦	𝑚𝔦	AUX
ajst-27301	101	26	represents	represent	VERB
ajst-27301	101	27	the	the	DET
ajst-27301	101	28	gradient	gradient	NOUN
ajst-27301	101	29	's	's	PART
ajst-27301	101	30	exponential	exponential	ADJ
ajst-27301	101	31	decay	decay	NOUN
ajst-27301	101	32	rate	rate	NOUN
ajst-27301	101	33	estimated	estimate	VERB
ajst-27301	101	34	at	at	ADP
ajst-27301	101	35	the	the	DET
ajst-27301	101	36	first	first	ADJ
ajst-27301	101	37	moment	moment	NOUN
ajst-27301	101	38	of	of	ADP
ajst-27301	101	39	the	the	DET
ajst-27301	101	40	moving	move	VERB
ajst-27301	101	41	average	average	NOUN
ajst-27301	101	42	,	,	PUNCT
ajst-27301	101	43	𝛽	𝛽	NOUN
ajst-27301	101	44	,	,	PUNCT
ajst-27301	101	45	and	and	CCONJ
ajst-27301	101	46	the	the	DET
ajst-27301	101	47	default	default	NOUN
ajst-27301	101	48	value	value	NOUN
ajst-27301	101	49	is	be	AUX
ajst-27301	101	50	usually	usually	ADV
ajst-27301	101	51	0.9	0.9	NUM
ajst-27301	101	52	.	.	PUNCT
ajst-27301	102	1	𝑔	𝑔	PROPN
ajst-27301	102	2	gradient	gradient	NOUN
ajst-27301	102	3	of	of	ADP
ajst-27301	102	4	the	the	DET
ajst-27301	102	5	current	current	ADJ
ajst-27301	102	6	time	time	NOUN
ajst-27301	102	7	step	step	NOUN
ajst-27301	102	8	multiple	multiple	ADJ
ajst-27301	102	9	iterations	iteration	NOUN
ajst-27301	102	10	are	be	AUX
ajst-27301	102	11	performed	perform	VERB
ajst-27301	102	12	on	on	ADP
ajst-27301	102	13	the	the	DET
ajst-27301	102	14	training	training	NOUN
ajst-27301	102	15	set	set	NOUN
ajst-27301	102	16	,	,	PUNCT
ajst-27301	102	17	and	and	CCONJ
ajst-27301	102	18	model	model	NOUN
ajst-27301	102	19	performance	performance	NOUN
ajst-27301	102	20	is	be	AUX
ajst-27301	102	21	evaluated	evaluate	VERB
ajst-27301	102	22	on	on	ADP
ajst-27301	102	23	the	the	DET
ajst-27301	102	24	validation	validation	NOUN
ajst-27301	102	25	set	set	VERB
ajst-27301	102	26	after	after	ADP
ajst-27301	102	27	each	each	DET
ajst-27301	102	28	epoch	epoch	NOUN
ajst-27301	102	29	.	.	PUNCT
ajst-27301	103	1	for	for	ADP
ajst-27301	103	2	example	example	NOUN
ajst-27301	103	3	,	,	PUNCT
ajst-27301	103	4	set	set	VERB
ajst-27301	103	5	the	the	DET
ajst-27301	103	6	maximum	maximum	ADJ
ajst-27301	103	7	number	number	NOUN
ajst-27301	103	8	of	of	ADP
ajst-27301	103	9	iterations	iteration	NOUN
ajst-27301	103	10	to	to	ADP
ajst-27301	103	11	100	100	NUM
ajst-27301	103	12	epochs	epoch	NOUN
ajst-27301	103	13	and	and	CCONJ
ajst-27301	103	14	save	save	VERB
ajst-27301	103	15	the	the	DET
ajst-27301	103	16	model	model	NOUN
ajst-27301	103	17	every	every	DET
ajst-27301	103	18	5	5	NUM
ajst-27301	103	19	epochs	epoch	NOUN
ajst-27301	103	20	.	.	PUNCT
ajst-27301	104	1	adjust	adjust	VERB
ajst-27301	104	2	hyperparameters	hyperparameter	NOUN
ajst-27301	104	3	according	accord	VERB
ajst-27301	104	4	to	to	ADP
ajst-27301	104	5	the	the	DET
ajst-27301	104	6	performance	performance	NOUN
ajst-27301	104	7	on	on	ADP
ajst-27301	104	8	the	the	DET
ajst-27301	104	9	validation	validation	NOUN
ajst-27301	104	10	set	set	VERB
ajst-27301	104	11	to	to	PART
ajst-27301	104	12	avoid	avoid	VERB
ajst-27301	104	13	overfitting	overfitte	VERB
ajst-27301	104	14	.	.	PUNCT
ajst-27301	105	1	for	for	ADP
ajst-27301	105	2	example	example	NOUN
ajst-27301	105	3	,	,	PUNCT
ajst-27301	105	4	early	early	ADJ
ajst-27301	105	5	stopping	stopping	NOUN
ajst-27301	105	6	is	be	AUX
ajst-27301	105	7	used	use	VERB
ajst-27301	105	8	to	to	PART
ajst-27301	105	9	stop	stop	VERB
ajst-27301	105	10	training	training	NOUN
ajst-27301	105	11	when	when	SCONJ
ajst-27301	105	12	the	the	DET
ajst-27301	105	13	performance	performance	NOUN
ajst-27301	105	14	on	on	ADP
ajst-27301	105	15	the	the	DET
ajst-27301	105	16	verification	verification	NOUN
ajst-27301	105	17	set	set	NOUN
ajst-27301	105	18	is	be	AUX
ajst-27301	105	19	no	no	ADV
ajst-27301	105	20	longer	long	ADV
ajst-27301	105	21	improving	improve	VERB
ajst-27301	105	22	.	.	PUNCT
ajst-27301	106	1	using	use	VERB
ajst-27301	106	2	k	k	ADJ
ajst-27301	106	3	-	-	ADJ
ajst-27301	106	4	fold	fold	ADJ
ajst-27301	106	5	cross	cross	NOUN
ajst-27301	106	6	validation	validation	NOUN
ajst-27301	106	7	,	,	PUNCT
ajst-27301	106	8	the	the	DET
ajst-27301	106	9	training	training	NOUN
ajst-27301	106	10	set	set	NOUN
ajst-27301	106	11	is	be	AUX
ajst-27301	106	12	divided	divide	VERB
ajst-27301	106	13	into	into	ADP
ajst-27301	106	14	k	k	PROPN
ajst-27301	106	15	subsets	subset	NOUN
ajst-27301	106	16	,	,	PUNCT
ajst-27301	106	17	and	and	CCONJ
ajst-27301	106	18	k-1	k-1	PROPN
ajst-27301	106	19	subsets	subset	NOUN
ajst-27301	106	20	are	be	AUX
ajst-27301	106	21	trained	train	VERB
ajst-27301	106	22	each	each	DET
ajst-27301	106	23	time	time	NOUN
ajst-27301	106	24	,	,	PUNCT
ajst-27301	106	25	and	and	CCONJ
ajst-27301	106	26	the	the	DET
ajst-27301	106	27	remaining	remain	VERB
ajst-27301	106	28	1	1	NUM
ajst-27301	106	29	subset	subset	NOUN
ajst-27301	106	30	is	be	AUX
ajst-27301	106	31	validated	validate	VERB
ajst-27301	106	32	.	.	PUNCT
ajst-27301	107	1	for	for	ADP
ajst-27301	107	2	example	example	NOUN
ajst-27301	107	3	,	,	PUNCT
ajst-27301	107	4	set	set	VERB
ajst-27301	107	5	k=5	k=5	X
ajst-27301	107	6	and	and	CCONJ
ajst-27301	107	7	repeat	repeat	VERB
ajst-27301	107	8	five	five	NUM
ajst-27301	107	9	times	time	NOUN
ajst-27301	107	10	to	to	PART
ajst-27301	107	11	calculate	calculate	VERB
ajst-27301	107	12	the	the	DET
ajst-27301	107	13	average	average	ADJ
ajst-27301	107	14	performance	performance	NOUN
ajst-27301	107	15	indicator	indicator	NOUN
ajst-27301	107	16	.	.	PUNCT
ajst-27301	108	1	calculate	calculate	NOUN
ajst-27301	108	2	accuracy	accuracy	NOUN
ajst-27301	108	3	,	,	PUNCT
ajst-27301	108	4	precision	precision	NOUN
ajst-27301	108	5	,	,	PUNCT
ajst-27301	108	6	recall	recall	NOUN
ajst-27301	108	7	,	,	PUNCT
ajst-27301	108	8	f1	f1	NOUN
ajst-27301	108	9	score	score	NOUN
ajst-27301	108	10	,	,	PUNCT
ajst-27301	108	11	and	and	CCONJ
ajst-27301	108	12	auc	auc	NOUN
ajst-27301	108	13	value	value	NOUN
ajst-27301	108	14	(	(	PUNCT
ajst-27301	108	15	area	area	NOUN
ajst-27301	108	16	under	under	ADP
ajst-27301	108	17	the	the	DET
ajst-27301	108	18	roc	roc	PROPN
ajst-27301	108	19	curve	curve	NOUN
ajst-27301	108	20	)	)	PUNCT
ajst-27301	108	21	.	.	PUNCT
ajst-27301	109	1	adam	adam	PROPN
ajst-27301	109	2	optimizer	optimizer	NOUN
ajst-27301	109	3	provides	provide	VERB
ajst-27301	109	4	an	an	DET
ajst-27301	109	5	efficient	efficient	ADJ
ajst-27301	109	6	and	and	CCONJ
ajst-27301	109	7	stable	stable	ADJ
ajst-27301	109	8	optimization	optimization	NOUN
ajst-27301	109	9	method	method	NOUN
ajst-27301	109	10	by	by	ADP
ajst-27301	109	11	combining	combine	VERB
ajst-27301	109	12	the	the	DET
ajst-27301	109	13	advantages	advantage	NOUN
ajst-27301	109	14	of	of	ADP
ajst-27301	109	15	momentum	momentum	NOUN
ajst-27301	109	16	and	and	CCONJ
ajst-27301	109	17	rmsprop	rmsprop	NOUN
ajst-27301	109	18	,	,	PUNCT
ajst-27301	109	19	as	as	ADV
ajst-27301	109	20	well	well	ADV
ajst-27301	109	21	as	as	ADP
ajst-27301	109	22	bias	bias	NOUN
ajst-27301	109	23	correction	correction	NOUN
ajst-27301	109	24	,	,	PUNCT
ajst-27301	109	25	and	and	CCONJ
ajst-27301	109	26	is	be	AUX
ajst-27301	109	27	widely	widely	ADV
ajst-27301	109	28	used	use	VERB
ajst-27301	109	29	in	in	ADP
ajst-27301	109	30	deep	deep	ADJ
ajst-27301	109	31	learning	learning	NOUN
ajst-27301	109	32	model	model	NOUN
ajst-27301	109	33	training	training	NOUN
ajst-27301	109	34	.	.	PUNCT
ajst-27301	110	1	through	through	ADP
ajst-27301	110	2	the	the	DET
ajst-27301	110	3	above	above	ADJ
ajst-27301	110	4	formula	formula	NOUN
ajst-27301	110	5	,	,	PUNCT
ajst-27301	110	6	adam	adam	PROPN
ajst-27301	110	7	optimizer	optimizer	NOUN
ajst-27301	110	8	can	can	AUX
ajst-27301	110	9	adjust	adjust	VERB
ajst-27301	110	10	the	the	DET
ajst-27301	110	11	learning	learning	NOUN
ajst-27301	110	12	rate	rate	NOUN
ajst-27301	110	13	adaptively	adaptively	ADV
ajst-27301	110	14	,	,	PUNCT
ajst-27301	110	15	accelerate	accelerate	VERB
ajst-27301	110	16	the	the	DET
ajst-27301	110	17	convergence	convergence	NOUN
ajst-27301	110	18	of	of	ADP
ajst-27301	110	19	the	the	DET
ajst-27301	110	20	model	model	NOUN
ajst-27301	110	21	and	and	CCONJ
ajst-27301	110	22	improve	improve	VERB
ajst-27301	110	23	the	the	DET
ajst-27301	110	24	performance	performance	NOUN
ajst-27301	110	25	of	of	ADP
ajst-27301	110	26	the	the	DET
ajst-27301	110	27	model	model	NOUN
ajst-27301	110	28	.	.	PUNCT
ajst-27301	111	1	4	4	X
ajst-27301	111	2	.	.	X
ajst-27301	111	3	result	result	VERB
ajst-27301	111	4	4.1	4.1	NUM
ajst-27301	111	5	.	.	PUNCT
ajst-27301	112	1	data	datum	NOUN
ajst-27301	112	2	preprocessing	preprocessing	NOUN
ajst-27301	112	3	effect	effect	NOUN
ajst-27301	112	4	missing	miss	VERB
ajst-27301	112	5	value	value	NOUN
ajst-27301	112	6	processing	processing	NOUN
ajst-27301	112	7	:	:	PUNCT
ajst-27301	113	1	before	before	ADP
ajst-27301	113	2	data	data	NOUN
ajst-27301	113	3	preprocessing	preprocessing	NOUN
ajst-27301	113	4	,	,	PUNCT
ajst-27301	113	5	there	there	PRON
ajst-27301	113	6	were	be	VERB
ajst-27301	113	7	a	a	DET
ajst-27301	113	8	lot	lot	NOUN
ajst-27301	113	9	of	of	ADP
ajst-27301	113	10	missing	miss	VERB
ajst-27301	113	11	values	value	NOUN
ajst-27301	113	12	in	in	ADP
ajst-27301	113	13	clinical	clinical	ADJ
ajst-27301	113	14	data	datum	NOUN
ajst-27301	113	15	,	,	PUNCT
ajst-27301	113	16	and	and	CCONJ
ajst-27301	113	17	the	the	DET
ajst-27301	113	18	proportion	proportion	NOUN
ajst-27301	113	19	of	of	ADP
ajst-27301	113	20	missing	miss	VERB
ajst-27301	113	21	values	value	NOUN
ajst-27301	113	22	was	be	AUX
ajst-27301	113	23	reduced	reduce	VERB
ajst-27301	113	24	from	from	ADP
ajst-27301	113	25	about	about	ADP
ajst-27301	113	26	15	15	NUM
ajst-27301	113	27	%	%	NOUN
ajst-27301	113	28	to	to	ADP
ajst-27301	113	29	less	less	ADJ
ajst-27301	113	30	than	than	ADP
ajst-27301	113	31	2	2	NUM
ajst-27301	113	32	%	%	NOUN
ajst-27301	113	33	through	through	ADP
ajst-27301	113	34	interpolation	interpolation	NOUN
ajst-27301	113	35	and	and	CCONJ
ajst-27301	113	36	mean	mean	ADJ
ajst-27301	113	37	filling	filling	NOUN
ajst-27301	113	38	.	.	PUNCT
ajst-27301	114	1	the	the	DET
ajst-27301	114	2	missing	miss	VERB
ajst-27301	114	3	values	value	NOUN
ajst-27301	114	4	in	in	ADP
ajst-27301	114	5	ecg	ecg	PROPN
ajst-27301	114	6	and	and	CCONJ
ajst-27301	114	7	echocardiogram	echocardiogram	NOUN
ajst-27301	114	8	data	datum	NOUN
ajst-27301	114	9	are	be	AUX
ajst-27301	114	10	mainly	mainly	ADV
ajst-27301	114	11	filled	fill	VERB
ajst-27301	114	12	by	by	ADP
ajst-27301	114	13	interpolation	interpolation	NOUN
ajst-27301	114	14	method	method	NOUN
ajst-27301	114	15	to	to	PART
ajst-27301	114	16	ensure	ensure	VERB
ajst-27301	114	17	the	the	DET
ajst-27301	114	18	continuity	continuity	NOUN
ajst-27301	114	19	and	and	CCONJ
ajst-27301	114	20	integrity	integrity	NOUN
ajst-27301	114	21	of	of	ADP
ajst-27301	114	22	data	data	PROPN
ajst-27301	114	23	.	.	PUNCT
ajst-27301	115	1	outlier	outlier	PROPN
ajst-27301	115	2	handling	handling	NOUN
ajst-27301	115	3	:	:	PUNCT
ajst-27301	115	4	outliers	outlier	NOUN
ajst-27301	115	5	were	be	AUX
ajst-27301	115	6	identified	identify	VERB
ajst-27301	115	7	and	and	CCONJ
ajst-27301	115	8	processed	process	VERB
ajst-27301	115	9	using	use	VERB
ajst-27301	115	10	the	the	DET
ajst-27301	115	11	z	z	NOUN
ajst-27301	115	12	-	-	PUNCT
ajst-27301	115	13	score	score	NOUN
ajst-27301	115	14	method	method	NOUN
ajst-27301	115	15	and	and	CCONJ
ajst-27301	115	16	boxplot	boxplot	NOUN
ajst-27301	115	17	,	,	PUNCT
ajst-27301	115	18	and	and	CCONJ
ajst-27301	115	19	the	the	DET
ajst-27301	115	20	proportion	proportion	NOUN
ajst-27301	115	21	of	of	ADP
ajst-27301	115	22	outliers	outlier	NOUN
ajst-27301	115	23	was	be	AUX
ajst-27301	115	24	reduced	reduce	VERB
ajst-27301	115	25	from	from	ADP
ajst-27301	115	26	about	about	ADV
ajst-27301	115	27	5	5	NUM
ajst-27301	115	28	%	%	NOUN
ajst-27301	115	29	to	to	ADP
ajst-27301	115	30	less	less	ADJ
ajst-27301	115	31	than	than	ADP
ajst-27301	115	32	1	1	NUM
ajst-27301	115	33	%	%	NOUN
ajst-27301	115	34	.	.	PUNCT
ajst-27301	116	1	the	the	DET
ajst-27301	116	2	noise	noise	NOUN
ajst-27301	116	3	in	in	ADP
ajst-27301	116	4	the	the	DET
ajst-27301	116	5	image	image	NOUN
ajst-27301	116	6	data	datum	NOUN
ajst-27301	116	7	is	be	AUX
ajst-27301	116	8	processed	process	VERB
ajst-27301	116	9	by	by	ADP
ajst-27301	116	10	the	the	DET
ajst-27301	116	11	filter	filter	NOUN
ajst-27301	116	12	,	,	PUNCT
ajst-27301	116	13	which	which	PRON
ajst-27301	116	14	significantly	significantly	ADV
ajst-27301	116	15	improves	improve	VERB
ajst-27301	116	16	the	the	DET
ajst-27301	116	17	quality	quality	NOUN
ajst-27301	116	18	and	and	CCONJ
ajst-27301	116	19	clarity	clarity	NOUN
ajst-27301	116	20	of	of	ADP
ajst-27301	116	21	the	the	DET
ajst-27301	116	22	image	image	NOUN
ajst-27301	116	23	.	.	PUNCT
ajst-27301	117	1	numerical	numerical	ADJ
ajst-27301	117	2	standardization	standardization	NOUN
ajst-27301	117	3	:	:	PUNCT
ajst-27301	117	4	the	the	DET
ajst-27301	117	5	numerical	numerical	ADJ
ajst-27301	117	6	data	data	PROPN
ajst-27301	117	7	is	be	AUX
ajst-27301	117	8	normalized	normalize	VERB
ajst-27301	117	9	and	and	CCONJ
ajst-27301	117	10	all	all	DET
ajst-27301	117	11	eigenvalues	eigenvalue	NOUN
ajst-27301	117	12	are	be	AUX
ajst-27301	117	13	distributed	distribute	VERB
ajst-27301	117	14	in	in	ADP
ajst-27301	117	15	the	the	DET
ajst-27301	117	16	interval	interval	NOUN
ajst-27301	117	17	[	[	X
ajst-27301	117	18	0	0	NUM
ajst-27301	117	19	,	,	PUNCT
ajst-27301	117	20	1	1	NUM
ajst-27301	117	21	]	]	PUNCT
ajst-27301	117	22	,	,	PUNCT
ajst-27301	117	23	which	which	PRON
ajst-27301	117	24	improves	improve	VERB
ajst-27301	117	25	the	the	DET
ajst-27301	117	26	training	training	NOUN
ajst-27301	117	27	efficiency	efficiency	NOUN
ajst-27301	117	28	of	of	ADP
ajst-27301	117	29	the	the	DET
ajst-27301	117	30	model	model	NOUN
ajst-27301	117	31	.	.	PUNCT
ajst-27301	118	1	26	26	NUM
ajst-27301	118	2	4.2	4.2	NUM
ajst-27301	118	3	.	.	PUNCT
ajst-27301	118	4	differences	difference	NOUN
ajst-27301	118	5	between	between	ADP
ajst-27301	118	6	traditional	traditional	ADJ
ajst-27301	118	7	diagnostic	diagnostic	ADJ
ajst-27301	118	8	methods	method	NOUN
ajst-27301	118	9	and	and	CCONJ
ajst-27301	118	10	multimodal	multimodal	NOUN
ajst-27301	118	11	ai	ai	NOUN
ajst-27301	118	12	models	model	NOUN
ajst-27301	118	13	table	table	VERB
ajst-27301	118	14	1	1	NUM
ajst-27301	118	15	.	.	PUNCT
ajst-27301	118	16	comparison	comparison	NOUN
ajst-27301	118	17	table	table	NOUN
ajst-27301	118	18	of	of	ADP
ajst-27301	118	19	various	various	ADJ
ajst-27301	118	20	diagnostic	diagnostic	ADJ
ajst-27301	118	21	methods	method	NOUN
ajst-27301	118	22	diagnostic	diagnostic	ADJ
ajst-27301	118	23	method	method	NOUN
ajst-27301	118	24	accuracy	accuracy	NOUN
ajst-27301	118	25	rate	rate	NOUN
ajst-27301	118	26	precision	precision	NOUN
ajst-27301	118	27	rate	rate	NOUN
ajst-27301	118	28	recall	recall	PROPN
ajst-27301	118	29	rate	rate	PROPN
ajst-27301	118	30	f1	f1	PROPN
ajst-27301	118	31	score	score	NOUN
ajst-27301	118	32	ecg	ecg	PROPN
ajst-27301	118	33	85	85	NUM
ajst-27301	118	34	%	%	NOUN
ajst-27301	118	35	87	87	NUM
ajst-27301	118	36	%	%	NOUN
ajst-27301	118	37	89	89	NUM
ajst-27301	118	38	%	%	NOUN
ajst-27301	118	39	89	89	NUM
ajst-27301	118	40	%	%	NOUN
ajst-27301	118	41	echocardiography	echocardiography	NOUN
ajst-27301	118	42	88	88	NUM
ajst-27301	118	43	%	%	NOUN
ajst-27301	118	44	87	87	NUM
ajst-27301	118	45	%	%	NOUN
ajst-27301	118	46	89	89	NUM
ajst-27301	118	47	%	%	NOUN
ajst-27301	118	48	88	88	NUM
ajst-27301	118	49	%	%	NOUN
ajst-27301	118	50	mri	mri	NOUN
ajst-27301	118	51	90	90	NUM
ajst-27301	118	52	%	%	NOUN
ajst-27301	118	53	90	90	NUM
ajst-27301	118	54	%	%	NOUN
ajst-27301	118	55	91	91	NUM
ajst-27301	118	56	%	%	NOUN
ajst-27301	118	57	90	90	NUM
ajst-27301	118	58	%	%	NOUN
ajst-27301	118	59	genetic	genetic	ADJ
ajst-27301	118	60	testing	testing	NOUN
ajst-27301	118	61	92	92	NUM
ajst-27301	118	62	%	%	NOUN
ajst-27301	118	63	93	93	NUM
ajst-27301	118	64	%	%	NOUN
ajst-27301	118	65	92	92	NUM
ajst-27301	118	66	%	%	NOUN
ajst-27301	118	67	89	89	NUM
ajst-27301	118	68	%	%	NOUN
ajst-27301	118	69	multimodal	multimodal	NOUN
ajst-27301	118	70	ai	ai	NOUN
ajst-27301	118	71	model	model	NOUN
ajst-27301	118	72	92	92	NUM
ajst-27301	118	73	%	%	NOUN
ajst-27301	118	74	91	91	NUM
ajst-27301	118	75	%	%	NOUN
ajst-27301	118	76	92	92	NUM
ajst-27301	118	77	%	%	NOUN
ajst-27301	118	78	91.5	91.5	NUM
ajst-27301	118	79	%	%	NOUN
ajst-27301	118	80	as	as	SCONJ
ajst-27301	118	81	can	can	AUX
ajst-27301	118	82	be	be	AUX
ajst-27301	118	83	seen	see	VERB
ajst-27301	118	84	from	from	ADP
ajst-27301	118	85	table	table	NOUN
ajst-27301	118	86	1	1	NUM
ajst-27301	118	87	,	,	PUNCT
ajst-27301	118	88	the	the	DET
ajst-27301	118	89	multi	multi	ADJ
ajst-27301	118	90	-	-	ADJ
ajst-27301	118	91	modal	modal	ADJ
ajst-27301	118	92	ai	ai	NOUN
ajst-27301	118	93	model	model	NOUN
ajst-27301	118	94	is	be	AUX
ajst-27301	118	95	superior	superior	ADJ
ajst-27301	118	96	to	to	ADP
ajst-27301	118	97	traditional	traditional	ADJ
ajst-27301	118	98	diagnostic	diagnostic	ADJ
ajst-27301	118	99	methods	method	NOUN
ajst-27301	118	100	in	in	ADP
ajst-27301	118	101	terms	term	NOUN
ajst-27301	118	102	of	of	ADP
ajst-27301	118	103	accuracy	accuracy	NOUN
ajst-27301	118	104	,	,	PUNCT
ajst-27301	118	105	accuracy	accuracy	NOUN
ajst-27301	118	106	,	,	PUNCT
ajst-27301	118	107	recall	recall	NOUN
ajst-27301	118	108	and	and	CCONJ
ajst-27301	118	109	f1	f1	NOUN
ajst-27301	118	110	scores	score	NOUN
ajst-27301	118	111	.	.	PUNCT
ajst-27301	119	1	especially	especially	ADV
ajst-27301	119	2	on	on	ADP
ajst-27301	119	3	the	the	DET
ajst-27301	119	4	performance	performance	NOUN
ajst-27301	119	5	of	of	ADP
ajst-27301	119	6	independent	independent	ADJ
ajst-27301	119	7	verification	verification	NOUN
ajst-27301	119	8	sets	set	NOUN
ajst-27301	119	9	,	,	PUNCT
ajst-27301	119	10	the	the	DET
ajst-27301	119	11	accuracy	accuracy	NOUN
ajst-27301	119	12	and	and	CCONJ
ajst-27301	119	13	f1	f1	NOUN
ajst-27301	119	14	scores	score	NOUN
ajst-27301	119	15	of	of	ADP
ajst-27301	119	16	the	the	DET
ajst-27301	119	17	multimodal	multimodal	NOUN
ajst-27301	119	18	ai	ai	NOUN
ajst-27301	119	19	model	model	NOUN
ajst-27301	119	20	reached	reach	VERB
ajst-27301	119	21	92	92	NUM
ajst-27301	119	22	%	%	NOUN
ajst-27301	119	23	and	and	CCONJ
ajst-27301	119	24	91.5	91.5	NUM
ajst-27301	119	25	%	%	NOUN
ajst-27301	119	26	,	,	PUNCT
ajst-27301	119	27	which	which	PRON
ajst-27301	119	28	is	be	AUX
ajst-27301	119	29	better	well	ADJ
ajst-27301	119	30	than	than	ADP
ajst-27301	119	31	the	the	DET
ajst-27301	119	32	traditional	traditional	ADJ
ajst-27301	119	33	genetic	genetic	ADJ
ajst-27301	119	34	detection	detection	NOUN
ajst-27301	119	35	method	method	NOUN
ajst-27301	119	36	.	.	PUNCT
ajst-27301	120	1	this	this	PRON
ajst-27301	120	2	indicates	indicate	VERB
ajst-27301	120	3	that	that	SCONJ
ajst-27301	120	4	the	the	DET
ajst-27301	120	5	multimodal	multimodal	NOUN
ajst-27301	120	6	ai	ai	NOUN
ajst-27301	120	7	model	model	NOUN
ajst-27301	120	8	has	have	VERB
ajst-27301	120	9	higher	high	ADJ
ajst-27301	120	10	accuracy	accuracy	NOUN
ajst-27301	120	11	and	and	CCONJ
ajst-27301	120	12	stability	stability	NOUN
ajst-27301	120	13	in	in	ADP
ajst-27301	120	14	the	the	DET
ajst-27301	120	15	differential	differential	ADJ
ajst-27301	120	16	diagnosis	diagnosis	NOUN
ajst-27301	120	17	of	of	ADP
ajst-27301	120	18	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	120	19	phenotype	phenotype	NOUN
ajst-27301	120	20	,	,	PUNCT
ajst-27301	120	21	which	which	PRON
ajst-27301	120	22	can	can	AUX
ajst-27301	120	23	effectively	effectively	ADV
ajst-27301	120	24	reduce	reduce	VERB
ajst-27301	120	25	the	the	DET
ajst-27301	120	26	risk	risk	NOUN
ajst-27301	120	27	of	of	ADP
ajst-27301	120	28	misdiagnosis	misdiagnosis	NOUN
ajst-27301	120	29	and	and	CCONJ
ajst-27301	120	30	missed	miss	VERB
ajst-27301	120	31	diagnosis	diagnosis	NOUN
ajst-27301	120	32	,	,	PUNCT
ajst-27301	120	33	and	and	CCONJ
ajst-27301	120	34	improve	improve	VERB
ajst-27301	120	35	the	the	DET
ajst-27301	120	36	efficiency	efficiency	NOUN
ajst-27301	120	37	and	and	CCONJ
ajst-27301	120	38	quality	quality	NOUN
ajst-27301	120	39	of	of	ADP
ajst-27301	120	40	clinical	clinical	ADJ
ajst-27301	120	41	diagnosis	diagnosis	NOUN
ajst-27301	120	42	.	.	PUNCT
ajst-27301	121	1	during	during	ADP
ajst-27301	121	2	the	the	DET
ajst-27301	121	3	training	training	NOUN
ajst-27301	121	4	process	process	NOUN
ajst-27301	121	5	,	,	PUNCT
ajst-27301	121	6	the	the	DET
ajst-27301	121	7	cross	cross	ADJ
ajst-27301	121	8	-	-	ADJ
ajst-27301	121	9	entropy	entropy	ADJ
ajst-27301	121	10	loss	loss	NOUN
ajst-27301	121	11	function	function	NOUN
ajst-27301	121	12	gradually	gradually	ADV
ajst-27301	121	13	decreases	decrease	VERB
ajst-27301	121	14	and	and	CCONJ
ajst-27301	121	15	eventually	eventually	ADV
ajst-27301	121	16	becomes	become	VERB
ajst-27301	121	17	stable	stable	ADJ
ajst-27301	121	18	,	,	PUNCT
ajst-27301	121	19	indicating	indicate	VERB
ajst-27301	121	20	that	that	SCONJ
ajst-27301	121	21	the	the	DET
ajst-27301	121	22	model	model	NOUN
ajst-27301	121	23	converges	converge	VERB
ajst-27301	121	24	well	well	ADV
ajst-27301	121	25	,	,	PUNCT
ajst-27301	121	26	as	as	SCONJ
ajst-27301	121	27	shown	show	VERB
ajst-27301	121	28	in	in	ADP
ajst-27301	121	29	figure	figure	NOUN
ajst-27301	121	30	1	1	NUM
ajst-27301	121	31	.	.	PUNCT
ajst-27301	121	32	figure	figure	NOUN
ajst-27301	121	33	1	1	NUM
ajst-27301	121	34	.	.	PUNCT
ajst-27301	121	35	cross	cross	NOUN
ajst-27301	121	36	loss	loss	NOUN
ajst-27301	121	37	function	function	NOUN
ajst-27301	121	38	decreasing	decrease	VERB
ajst-27301	121	39	graph	graph	NOUN
ajst-27301	121	40	as	as	SCONJ
ajst-27301	121	41	can	can	AUX
ajst-27301	121	42	be	be	AUX
ajst-27301	121	43	seen	see	VERB
ajst-27301	121	44	from	from	ADP
ajst-27301	121	45	table	table	NOUN
ajst-27301	121	46	1	1	NUM
ajst-27301	121	47	and	and	CCONJ
ajst-27301	121	48	figure	figure	NOUN
ajst-27301	121	49	1	1	NUM
ajst-27301	121	50	,	,	PUNCT
ajst-27301	121	51	the	the	DET
ajst-27301	121	52	misdiagnosis	misdiagnosis	NOUN
ajst-27301	121	53	rate	rate	NOUN
ajst-27301	121	54	of	of	ADP
ajst-27301	121	55	the	the	DET
ajst-27301	121	56	multimodal	multimodal	NOUN
ajst-27301	121	57	ai	ai	NOUN
ajst-27301	121	58	model	model	NOUN
ajst-27301	121	59	is	be	AUX
ajst-27301	121	60	low	low	ADJ
ajst-27301	121	61	,	,	PUNCT
ajst-27301	121	62	8	8	NUM
ajst-27301	121	63	%	%	NOUN
ajst-27301	121	64	and	and	CCONJ
ajst-27301	121	65	10	10	NUM
ajst-27301	121	66	%	%	NOUN
ajst-27301	121	67	on	on	ADP
ajst-27301	121	68	the	the	DET
ajst-27301	121	69	verification	verification	NOUN
ajst-27301	121	70	set	set	NOUN
ajst-27301	121	71	and	and	CCONJ
ajst-27301	121	72	test	test	NOUN
ajst-27301	121	73	set	set	VERB
ajst-27301	121	74	,	,	PUNCT
ajst-27301	121	75	respectively	respectively	ADV
ajst-27301	121	76	,	,	PUNCT
ajst-27301	121	77	while	while	SCONJ
ajst-27301	121	78	the	the	DET
ajst-27301	121	79	misdiagnosis	misdiagnosis	NOUN
ajst-27301	121	80	rate	rate	NOUN
ajst-27301	121	81	of	of	ADP
ajst-27301	121	82	the	the	DET
ajst-27301	121	83	traditional	traditional	ADJ
ajst-27301	121	84	method	method	NOUN
ajst-27301	121	85	is	be	AUX
ajst-27301	121	86	between	between	ADP
ajst-27301	121	87	12	12	NUM
ajst-27301	121	88	%	%	NOUN
ajst-27301	121	89	and	and	CCONJ
ajst-27301	121	90	15	15	NUM
ajst-27301	121	91	%	%	NOUN
ajst-27301	121	92	.	.	PUNCT
ajst-27301	122	1	the	the	DET
ajst-27301	122	2	missed	miss	VERB
ajst-27301	122	3	diagnosis	diagnosis	NOUN
ajst-27301	122	4	rate	rate	NOUN
ajst-27301	122	5	was	be	AUX
ajst-27301	122	6	low	low	ADJ
ajst-27301	122	7	,	,	PUNCT
ajst-27301	122	8	8	8	NUM
ajst-27301	122	9	%	%	NOUN
ajst-27301	122	10	and	and	CCONJ
ajst-27301	122	11	10	10	NUM
ajst-27301	122	12	%	%	NOUN
ajst-27301	122	13	respectively	respectively	ADV
ajst-27301	122	14	on	on	ADP
ajst-27301	122	15	the	the	DET
ajst-27301	122	16	validation	validation	NOUN
ajst-27301	122	17	and	and	CCONJ
ajst-27301	122	18	test	test	NOUN
ajst-27301	122	19	sets	set	NOUN
ajst-27301	122	20	,	,	PUNCT
ajst-27301	122	21	compared	compare	VERB
ajst-27301	122	22	to	to	ADP
ajst-27301	122	23	between	between	ADP
ajst-27301	122	24	11	11	NUM
ajst-27301	122	25	%	%	NOUN
ajst-27301	122	26	and	and	CCONJ
ajst-27301	122	27	15	15	NUM
ajst-27301	122	28	%	%	NOUN
ajst-27301	122	29	for	for	ADP
ajst-27301	122	30	traditional	traditional	ADJ
ajst-27301	122	31	methods	method	NOUN
ajst-27301	122	32	.	.	PUNCT
ajst-27301	123	1	the	the	DET
ajst-27301	123	2	development	development	NOUN
ajst-27301	123	3	and	and	CCONJ
ajst-27301	123	4	application	application	NOUN
ajst-27301	123	5	of	of	ADP
ajst-27301	123	6	multi	multi	ADJ
ajst-27301	123	7	-	-	ADJ
ajst-27301	123	8	modal	modal	ADJ
ajst-27301	123	9	ai	ai	NOUN
ajst-27301	123	10	model	model	NOUN
ajst-27301	123	11	not	not	PART
ajst-27301	123	12	only	only	ADV
ajst-27301	123	13	helps	help	VERB
ajst-27301	123	14	to	to	PART
ajst-27301	123	15	reduce	reduce	VERB
ajst-27301	123	16	misdiagnosis	misdiagnosis	NOUN
ajst-27301	123	17	and	and	CCONJ
ajst-27301	123	18	missed	miss	VERB
ajst-27301	123	19	diagnosis	diagnosis	NOUN
ajst-27301	123	20	,	,	PUNCT
ajst-27301	123	21	improve	improve	VERB
ajst-27301	123	22	the	the	DET
ajst-27301	123	23	efficiency	efficiency	NOUN
ajst-27301	123	24	and	and	CCONJ
ajst-27301	123	25	quality	quality	NOUN
ajst-27301	123	26	of	of	ADP
ajst-27301	123	27	clinical	clinical	ADJ
ajst-27301	123	28	diagnosis	diagnosis	NOUN
ajst-27301	123	29	,	,	PUNCT
ajst-27301	123	30	but	but	CCONJ
ajst-27301	123	31	also	also	ADV
ajst-27301	123	32	provides	provide	VERB
ajst-27301	123	33	an	an	DET
ajst-27301	123	34	important	important	ADJ
ajst-27301	123	35	basis	basis	NOUN
ajst-27301	123	36	for	for	SCONJ
ajst-27301	123	37	doctors	doctor	NOUN
ajst-27301	123	38	to	to	PART
ajst-27301	123	39	make	make	VERB
ajst-27301	123	40	personalized	personalized	ADJ
ajst-27301	123	41	treatment	treatment	NOUN
ajst-27301	123	42	plans	plan	NOUN
ajst-27301	123	43	.	.	PUNCT
ajst-27301	124	1	4.3	4.3	NUM
ajst-27301	124	2	.	.	PUNCT
ajst-27301	125	1	future	future	ADJ
ajst-27301	125	2	research	research	NOUN
ajst-27301	125	3	direction	direction	NOUN
ajst-27301	125	4	although	although	SCONJ
ajst-27301	125	5	the	the	DET
ajst-27301	125	6	multimodal	multimodal	NOUN
ajst-27301	125	7	ai	ai	VERB
ajst-27301	125	8	model	model	NOUN
ajst-27301	125	9	performed	perform	VERB
ajst-27301	125	10	well	well	ADV
ajst-27301	125	11	in	in	ADP
ajst-27301	125	12	this	this	DET
ajst-27301	125	13	study	study	NOUN
ajst-27301	125	14	,	,	PUNCT
ajst-27301	125	15	there	there	PRON
ajst-27301	125	16	is	be	VERB
ajst-27301	125	17	still	still	ADV
ajst-27301	125	18	room	room	NOUN
ajst-27301	125	19	for	for	ADP
ajst-27301	125	20	further	further	ADJ
ajst-27301	125	21	optimization	optimization	NOUN
ajst-27301	125	22	.	.	PUNCT
ajst-27301	126	1	for	for	ADP
ajst-27301	126	2	example	example	NOUN
ajst-27301	126	3	,	,	PUNCT
ajst-27301	126	4	you	you	PRON
ajst-27301	126	5	can	can	AUX
ajst-27301	126	6	try	try	VERB
ajst-27301	126	7	using	use	VERB
ajst-27301	126	8	more	more	ADJ
ajst-27301	126	9	complex	complex	ADJ
ajst-27301	126	10	neural	neural	ADJ
ajst-27301	126	11	network	network	NOUN
ajst-27301	126	12	architectures	architecture	NOUN
ajst-27301	126	13	,	,	PUNCT
ajst-27301	126	14	such	such	ADJ
ajst-27301	126	15	as	as	ADP
ajst-27301	126	16	transformer	transformer	NOUN
ajst-27301	126	17	and	and	CCONJ
ajst-27301	126	18	bert	bert	NOUN
ajst-27301	126	19	,	,	PUNCT
ajst-27301	126	20	to	to	PART
ajst-27301	126	21	improve	improve	VERB
ajst-27301	126	22	the	the	DET
ajst-27301	126	23	accuracy	accuracy	NOUN
ajst-27301	126	24	of	of	ADP
ajst-27301	126	25	feature	feature	NOUN
ajst-27301	126	26	extraction	extraction	NOUN
ajst-27301	126	27	and	and	CCONJ
ajst-27301	126	28	classification	classification	NOUN
ajst-27301	126	29	.	.	PUNCT
ajst-27301	127	1	in	in	ADP
ajst-27301	127	2	addition	addition	NOUN
ajst-27301	127	3	,	,	PUNCT
ajst-27301	127	4	more	more	ADJ
ajst-27301	127	5	data	datum	NOUN
ajst-27301	127	6	enhancement	enhancement	NOUN
ajst-27301	127	7	techniques	technique	NOUN
ajst-27301	127	8	can	can	AUX
ajst-27301	127	9	be	be	AUX
ajst-27301	127	10	explored	explore	VERB
ajst-27301	127	11	to	to	PART
ajst-27301	127	12	increase	increase	VERB
ajst-27301	127	13	the	the	DET
ajst-27301	127	14	robustness	robustness	NOUN
ajst-27301	127	15	and	and	CCONJ
ajst-27301	127	16	generalization	generalization	NOUN
ajst-27301	127	17	ability	ability	NOUN
ajst-27301	127	18	of	of	ADP
ajst-27301	127	19	the	the	DET
ajst-27301	127	20	model	model	NOUN
ajst-27301	127	21	.	.	PUNCT
ajst-27301	128	1	it	it	PRON
ajst-27301	128	2	can	can	AUX
ajst-27301	128	3	be	be	AUX
ajst-27301	128	4	combined	combine	VERB
ajst-27301	128	5	with	with	ADP
ajst-27301	128	6	other	other	ADJ
ajst-27301	128	7	medical	medical	ADJ
ajst-27301	128	8	technologies	technology	NOUN
ajst-27301	128	9	,	,	PUNCT
ajst-27301	128	10	such	such	ADJ
ajst-27301	128	11	as	as	ADP
ajst-27301	128	12	telemedicine	telemedicine	NOUN
ajst-27301	128	13	and	and	CCONJ
ajst-27301	128	14	smart	smart	ADJ
ajst-27301	128	15	wearable	wearable	ADJ
ajst-27301	128	16	devices	device	NOUN
ajst-27301	128	17	,	,	PUNCT
ajst-27301	128	18	to	to	PART
ajst-27301	128	19	achieve	achieve	VERB
ajst-27301	128	20	more	more	ADV
ajst-27301	128	21	efficient	efficient	ADJ
ajst-27301	128	22	and	and	CCONJ
ajst-27301	128	23	convenient	convenient	ADJ
ajst-27301	128	24	medical	medical	ADJ
ajst-27301	128	25	services	service	NOUN
ajst-27301	128	26	.	.	PUNCT
ajst-27301	129	1	the	the	DET
ajst-27301	129	2	application	application	NOUN
ajst-27301	129	3	of	of	ADP
ajst-27301	129	4	ai	ai	PROPN
ajst-27301	129	5	technology	technology	NOUN
ajst-27301	129	6	involves	involve	VERB
ajst-27301	129	7	a	a	DET
ajst-27301	129	8	large	large	ADJ
ajst-27301	129	9	amount	amount	NOUN
ajst-27301	129	10	of	of	ADP
ajst-27301	129	11	sensitive	sensitive	ADJ
ajst-27301	129	12	medical	medical	ADJ
ajst-27301	129	13	data	datum	NOUN
ajst-27301	129	14	,	,	PUNCT
ajst-27301	129	15	and	and	CCONJ
ajst-27301	129	16	data	datum	NOUN
ajst-27301	129	17	privacy	privacy	NOUN
ajst-27301	129	18	and	and	CCONJ
ajst-27301	129	19	ethical	ethical	ADJ
ajst-27301	129	20	issues	issue	NOUN
ajst-27301	129	21	are	be	AUX
ajst-27301	129	22	also	also	ADV
ajst-27301	129	23	important	important	ADJ
ajst-27301	129	24	factors	factor	NOUN
ajst-27301	129	25	that	that	PRON
ajst-27301	129	26	must	must	AUX
ajst-27301	129	27	be	be	AUX
ajst-27301	129	28	considered	consider	VERB
ajst-27301	129	29	.	.	PUNCT
ajst-27301	130	1	it	it	PRON
ajst-27301	130	2	is	be	AUX
ajst-27301	130	3	necessary	necessary	ADJ
ajst-27301	130	4	to	to	PART
ajst-27301	130	5	establish	establish	VERB
ajst-27301	130	6	corresponding	corresponding	ADJ
ajst-27301	130	7	laws	law	NOUN
ajst-27301	130	8	,	,	PUNCT
ajst-27301	130	9	regulations	regulation	NOUN
ajst-27301	130	10	and	and	CCONJ
ajst-27301	130	11	ethical	ethical	ADJ
ajst-27301	130	12	guidelines	guideline	NOUN
ajst-27301	130	13	to	to	PART
ajst-27301	130	14	protect	protect	VERB
ajst-27301	130	15	the	the	DET
ajst-27301	130	16	rights	right	NOUN
ajst-27301	130	17	and	and	CCONJ
ajst-27301	130	18	interests	interest	NOUN
ajst-27301	130	19	of	of	ADP
ajst-27301	130	20	patients	patient	NOUN
ajst-27301	130	21	.	.	PUNCT
ajst-27301	131	1	for	for	ADP
ajst-27301	131	2	example	example	NOUN
ajst-27301	131	3	,	,	PUNCT
ajst-27301	131	4	ensure	ensure	VERB
ajst-27301	131	5	the	the	DET
ajst-27301	131	6	anonymization	anonymization	NOUN
ajst-27301	131	7	of	of	ADP
ajst-27301	131	8	data	datum	NOUN
ajst-27301	131	9	processing	processing	NOUN
ajst-27301	131	10	,	,	PUNCT
ajst-27301	131	11	strictly	strictly	ADV
ajst-27301	131	12	control	control	VERB
ajst-27301	131	13	the	the	DET
ajst-27301	131	14	access	access	NOUN
ajst-27301	131	15	rights	right	NOUN
ajst-27301	131	16	of	of	ADP
ajst-27301	131	17	data	datum	NOUN
ajst-27301	131	18	,	,	PUNCT
ajst-27301	131	19	and	and	CCONJ
ajst-27301	131	20	prevent	prevent	VERB
ajst-27301	131	21	data	datum	NOUN
ajst-27301	131	22	leakage	leakage	NOUN
ajst-27301	131	23	and	and	CCONJ
ajst-27301	131	24	abuse	abuse	NOUN
ajst-27301	131	25	.	.	PUNCT
ajst-27301	132	1	in	in	ADP
ajst-27301	132	2	addition	addition	NOUN
ajst-27301	132	3	,	,	PUNCT
ajst-27301	132	4	it	it	PRON
ajst-27301	132	5	is	be	AUX
ajst-27301	132	6	necessary	necessary	ADJ
ajst-27301	132	7	to	to	PART
ajst-27301	132	8	improve	improve	VERB
ajst-27301	132	9	doctors	doctor	NOUN
ajst-27301	132	10	'	'	PART
ajst-27301	132	11	understanding	understanding	NOUN
ajst-27301	132	12	and	and	CCONJ
ajst-27301	132	13	trust	trust	NOUN
ajst-27301	132	14	in	in	ADP
ajst-27301	132	15	ai	ai	PRON
ajst-27301	132	16	technology	technology	NOUN
ajst-27301	132	17	through	through	ADP
ajst-27301	132	18	education	education	NOUN
ajst-27301	132	19	and	and	CCONJ
ajst-27301	132	20	training	training	NOUN
ajst-27301	132	21	to	to	PART
ajst-27301	132	22	enhance	enhance	VERB
ajst-27301	132	23	patients	patient	NOUN
ajst-27301	132	24	'	'	PART
ajst-27301	132	25	confidence	confidence	NOUN
ajst-27301	132	26	and	and	CCONJ
ajst-27301	132	27	satisfaction	satisfaction	NOUN
ajst-27301	132	28	.	.	PUNCT
ajst-27301	133	1	5	5	X
ajst-27301	133	2	.	.	X
ajst-27301	133	3	conclusion	conclusion	NOUN
ajst-27301	133	4	in	in	ADP
ajst-27301	133	5	this	this	DET
ajst-27301	133	6	study	study	NOUN
ajst-27301	133	7	,	,	PUNCT
ajst-27301	133	8	a	a	DET
ajst-27301	133	9	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	133	10	phenotypic	phenotypic	ADJ
ajst-27301	133	11	differential	differential	ADJ
ajst-27301	133	12	diagnosis	diagnosis	NOUN
ajst-27301	133	13	system	system	NOUN
ajst-27301	133	14	based	base	VERB
ajst-27301	133	15	on	on	ADP
ajst-27301	133	16	multimodal	multimodal	NOUN
ajst-27301	133	17	ai	ai	NOUN
ajst-27301	133	18	technology	technology	NOUN
ajst-27301	133	19	was	be	AUX
ajst-27301	133	20	developed	develop	VERB
ajst-27301	133	21	.	.	PUNCT
ajst-27301	134	1	by	by	ADP
ajst-27301	134	2	integrating	integrate	VERB
ajst-27301	134	3	various	various	ADJ
ajst-27301	134	4	medical	medical	ADJ
ajst-27301	134	5	data	datum	NOUN
ajst-27301	134	6	,	,	PUNCT
ajst-27301	134	7	a	a	DET
ajst-27301	134	8	multimodal	multimodal	NOUN
ajst-27301	134	9	ai	ai	NOUN
ajst-27301	134	10	model	model	NOUN
ajst-27301	134	11	was	be	AUX
ajst-27301	134	12	constructed	construct	VERB
ajst-27301	134	13	,	,	PUNCT
ajst-27301	134	14	and	and	CCONJ
ajst-27301	134	15	its	its	PRON
ajst-27301	134	16	superiority	superiority	NOUN
ajst-27301	134	17	was	be	AUX
ajst-27301	134	18	verified	verify	VERB
ajst-27301	134	19	by	by	ADP
ajst-27301	134	20	comparing	compare	VERB
ajst-27301	134	21	with	with	ADP
ajst-27301	134	22	traditional	traditional	ADJ
ajst-27301	134	23	diagnostic	diagnostic	ADJ
ajst-27301	134	24	methods	method	NOUN
ajst-27301	134	25	.	.	PUNCT
ajst-27301	135	1	the	the	DET
ajst-27301	135	2	results	result	NOUN
ajst-27301	135	3	show	show	VERB
ajst-27301	135	4	that	that	SCONJ
ajst-27301	135	5	the	the	DET
ajst-27301	135	6	multi	multi	ADJ
ajst-27301	135	7	-	-	ADJ
ajst-27301	135	8	modal	modal	ADJ
ajst-27301	135	9	ai	ai	NOUN
ajst-27301	135	10	model	model	NOUN
ajst-27301	135	11	is	be	AUX
ajst-27301	135	12	superior	superior	ADJ
ajst-27301	135	13	to	to	ADP
ajst-27301	135	14	traditional	traditional	ADJ
ajst-27301	135	15	methods	method	NOUN
ajst-27301	135	16	in	in	ADP
ajst-27301	135	17	accuracy	accuracy	NOUN
ajst-27301	135	18	,	,	PUNCT
ajst-27301	135	19	stability	stability	NOUN
ajst-27301	135	20	,	,	PUNCT
ajst-27301	135	21	misdiagnosis	misdiagnosis	NOUN
ajst-27301	135	22	and	and	CCONJ
ajst-27301	135	23	missed	miss	VERB
ajst-27301	135	24	diagnosis	diagnosis	NOUN
ajst-27301	135	25	rate	rate	NOUN
ajst-27301	135	26	,	,	PUNCT
ajst-27301	135	27	and	and	CCONJ
ajst-27301	135	28	has	have	VERB
ajst-27301	135	29	important	important	ADJ
ajst-27301	135	30	scientific	scientific	ADJ
ajst-27301	135	31	and	and	CCONJ
ajst-27301	135	32	clinical	clinical	ADJ
ajst-27301	135	33	significance	significance	NOUN
ajst-27301	135	34	.	.	PUNCT
ajst-27301	136	1	future	future	ADJ
ajst-27301	136	2	studies	study	NOUN
ajst-27301	136	3	will	will	AUX
ajst-27301	136	4	further	far	ADV
ajst-27301	136	5	optimize	optimize	VERB
ajst-27301	136	6	the	the	DET
ajst-27301	136	7	model	model	NOUN
ajst-27301	136	8	,	,	PUNCT
ajst-27301	136	9	27	27	NUM
ajst-27301	136	10	expand	expand	VERB
ajst-27301	136	11	the	the	DET
ajst-27301	136	12	sample	sample	NOUN
ajst-27301	136	13	size	size	NOUN
ajst-27301	136	14	,	,	PUNCT
ajst-27301	136	15	extend	extend	VERB
ajst-27301	136	16	to	to	ADP
ajst-27301	136	17	more	more	ADV
ajst-27301	136	18	clinical	clinical	ADJ
ajst-27301	136	19	application	application	NOUN
ajst-27301	136	20	scenarios	scenario	NOUN
ajst-27301	136	21	,	,	PUNCT
ajst-27301	136	22	and	and	CCONJ
ajst-27301	136	23	address	address	VERB
ajst-27301	136	24	ethical	ethical	ADJ
ajst-27301	136	25	and	and	CCONJ
ajst-27301	136	26	legal	legal	ADJ
ajst-27301	136	27	issues	issue	NOUN
ajst-27301	136	28	to	to	PART
ajst-27301	136	29	promote	promote	VERB
ajst-27301	136	30	the	the	DET
ajst-27301	136	31	development	development	NOUN
ajst-27301	136	32	of	of	ADP
ajst-27301	136	33	precision	precision	NOUN
ajst-27301	136	34	medicine	medicine	NOUN
ajst-27301	136	35	for	for	ADP
ajst-27301	136	36	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	136	37	.	.	PUNCT
ajst-27301	137	1	acknowledgments	acknowledgment	NOUN
ajst-27301	137	2	this	this	DET
ajst-27301	137	3	work	work	NOUN
ajst-27301	137	4	is	be	AUX
ajst-27301	137	5	supported	support	VERB
ajst-27301	137	6	by	by	ADP
ajst-27301	137	7	major	major	ADJ
ajst-27301	137	8	science	science	NOUN
ajst-27301	137	9	and	and	CCONJ
ajst-27301	137	10	technol	technol	ADJ
ajst-27301	137	11	ogy	ogy	NOUN
ajst-27301	137	12	innovation	innovation	NOUN
ajst-27301	137	13	projects	project	NOUN
ajst-27301	137	14	in	in	ADP
ajst-27301	137	15	jingmen	jingman	NOUN
ajst-27301	137	16	(	(	PUNCT
ajst-27301	137	17	2022zdyf019	2022zdyf019	NUM
ajst-27301	137	18	)	)	PUNCT
ajst-27301	137	19	;	;	PUNCT
ajst-27301	137	20	gu	gu	PROPN
ajst-27301	137	21	ided	ide	VERB
ajst-27301	137	22	research	research	NOUN
ajst-27301	137	23	projects	project	NOUN
ajst-27301	137	24	in	in	ADP
ajst-27301	137	25	jingmen	jingman	NOUN
ajst-27301	137	26	(	(	PUNCT
ajst-27301	137	27	2024ydky136	2024ydky136	NUM
ajst-27301	137	28	)	)	PUNCT
ajst-27301	137	29	.	.	PUNCT
ajst-27301	138	1	references	reference	NOUN
ajst-27301	138	2	[	[	X
ajst-27301	138	3	1	1	X
ajst-27301	138	4	]	]	PUNCT
ajst-27301	138	5	boadla	boadla	VERB
ajst-27301	138	6	m	m	PRON
ajst-27301	138	7	e	e	NOUN
ajst-27301	138	8	r	r	NOUN
ajst-27301	138	9	,	,	PUNCT
ajst-27301	138	10	sharma	sharma	PROPN
ajst-27301	138	11	n	n	CCONJ
ajst-27301	138	12	r	r	PROPN
ajst-27301	138	13	,	,	PUNCT
ajst-27301	138	14	varghese	varghese	PROPN
ajst-27301	138	15	j	j	PROPN
ajst-27301	138	16	,	,	PUNCT
ajst-27301	138	17	et	et	PROPN
ajst-27301	138	18	al	al	PROPN
ajst-27301	138	19	.	.	PUNCT
ajst-27301	138	20	multimodal	multimodal	ADJ
ajst-27301	138	21	cardiac	cardiac	ADJ
ajst-27301	138	22	imaging	imaging	NOUN
ajst-27301	138	23	revisited	revisit	VERB
ajst-27301	138	24	by	by	ADP
ajst-27301	138	25	artificial	artificial	ADJ
ajst-27301	138	26	intelligence	intelligence	NOUN
ajst-27301	138	27	:	:	PUNCT
ajst-27301	138	28	an	an	DET
ajst-27301	138	29	innovative	innovative	ADJ
ajst-27301	138	30	way	way	NOUN
ajst-27301	138	31	of	of	ADP
ajst-27301	138	32	assessment	assessment	NOUN
ajst-27301	138	33	or	or	CCONJ
ajst-27301	138	34	just	just	ADV
ajst-27301	138	35	an	an	DET
ajst-27301	138	36	aid?[j	aid?[j	NOUN
ajst-27301	138	37	]	]	PUNCT
ajst-27301	138	38	.	.	PUNCT
ajst-27301	139	1	cureus	cureus	NOUN
ajst-27301	139	2	,	,	PUNCT
ajst-27301	139	3	2024	2024	NUM
ajst-27301	139	4	,	,	PUNCT
ajst-27301	139	5	16(7	16(7	NUM
ajst-27301	139	6	)	)	PUNCT
ajst-27301	139	7	.	.	PUNCT
ajst-27301	140	1	[	[	X
ajst-27301	140	2	2	2	X
ajst-27301	140	3	]	]	PUNCT
ajst-27301	140	4	jaltotage	jaltotage	NOUN
ajst-27301	140	5	b	b	PROPN
ajst-27301	140	6	,	,	PUNCT
ajst-27301	140	7	lu	lu	PROPN
ajst-27301	140	8	j	j	PROPN
ajst-27301	140	9	,	,	PUNCT
ajst-27301	140	10	dwivedi	dwivedi	PROPN
ajst-27301	140	11	g.	g.	PROPN
ajst-27301	140	12	use	use	NOUN
ajst-27301	140	13	of	of	ADP
ajst-27301	140	14	artificial	artificial	ADJ
ajst-27301	140	15	intelligence	intelligence	NOUN
ajst-27301	140	16	including	include	VERB
ajst-27301	140	17	multimodal	multimodal	NOUN
ajst-27301	140	18	systems	system	NOUN
ajst-27301	140	19	to	to	PART
ajst-27301	140	20	improve	improve	VERB
ajst-27301	140	21	the	the	DET
ajst-27301	140	22	management	management	NOUN
ajst-27301	140	23	of	of	ADP
ajst-27301	140	24	cardiovascular	cardiovascular	ADJ
ajst-27301	140	25	disease[j	disease[j	NOUN
ajst-27301	140	26	]	]	PUNCT
ajst-27301	140	27	.	.	PUNCT
ajst-27301	141	1	canadian	canadian	ADJ
ajst-27301	141	2	journal	journal	PROPN
ajst-27301	141	3	of	of	ADP
ajst-27301	141	4	cardiology	cardiology	NOUN
ajst-27301	141	5	,	,	PUNCT
ajst-27301	141	6	2024	2024	NUM
ajst-27301	141	7	.	.	PUNCT
ajst-27301	142	1	[	[	X
ajst-27301	142	2	3	3	X
ajst-27301	142	3	]	]	X
ajst-27301	142	4	milosevic	milosevic	PROPN
ajst-27301	142	5	m	m	PROPN
ajst-27301	142	6	,	,	PUNCT
ajst-27301	142	7	*	*	PUNCT
ajst-27301	142	8	*	*	PUNCT
ajst-27301	142	9	q	q	X
ajst-27301	142	10	,	,	PUNCT
ajst-27301	142	11	singh	singh	PROPN
ajst-27301	142	12	a	a	X
ajst-27301	142	13	,	,	PUNCT
ajst-27301	142	14	et	et	PROPN
ajst-27301	142	15	al	al	PROPN
ajst-27301	142	16	.	.	PUNCT
ajst-27301	142	17	applications	application	NOUN
ajst-27301	142	18	of	of	ADP
ajst-27301	142	19	ai	ai	NOUN
ajst-27301	142	20	in	in	ADP
ajst-27301	142	21	multimodal	multimodal	ADJ
ajst-27301	142	22	imaging	imaging	NOUN
ajst-27301	142	23	for	for	ADP
ajst-27301	142	24	cardiovascular	cardiovascular	ADJ
ajst-27301	142	25	disease	disease	NOUN
ajst-27301	142	26	[	[	X
ajst-27301	142	27	j	j	X
ajst-27301	142	28	]	]	X
ajst-27301	142	29	.	.	PUNCT
ajst-27301	143	1	frontiers	frontier	NOUN
ajst-27301	143	2	in	in	ADP
ajst-27301	143	3	radiology	radiology	NOUN
ajst-27301	143	4	,	,	PUNCT
ajst-27301	143	5	2024	2024	NUM
ajst-27301	143	6	,	,	PUNCT
ajst-27301	143	7	3	3	NUM
ajst-27301	143	8	:	:	SYM
ajst-27301	143	9	1294068	1294068	NUM
ajst-27301	143	10	.	.	PUNCT
ajst-27301	144	1	[	[	X
ajst-27301	144	2	4	4	NUM
ajst-27301	144	3	]	]	SYM
ajst-27301	144	4	ordine	ordine	NOUN
ajst-27301	144	5	l	l	PROPN
ajst-27301	144	6	,	,	PUNCT
ajst-27301	144	7	canciello	canciello	VERB
ajst-27301	144	8	g	g	NOUN
ajst-27301	144	9	,	,	PUNCT
ajst-27301	144	10	borrelli	borrelli	PROPN
ajst-27301	144	11	f	f	X
ajst-27301	144	12	,	,	PUNCT
ajst-27301	144	13	et	et	PROPN
ajst-27301	144	14	al	al	PROPN
ajst-27301	144	15	.	.	PUNCT
ajst-27301	144	16	artificial	artificial	ADJ
ajst-27301	144	17	intelligencedriven	intelligencedriven	ADJ
ajst-27301	144	18	electrocardiography	electrocardiography	NOUN
ajst-27301	144	19	:	:	PUNCT
ajst-27301	144	20	innovations	innovation	NOUN
ajst-27301	144	21	in	in	ADP
ajst-27301	144	22	hypertrophic	hypertrophic	ADJ
ajst-27301	144	23	cardiomyopathy	cardiomyopathy	ADJ
ajst-27301	144	24	management	management	NOUN
ajst-27301	145	1	[	[	X
ajst-27301	145	2	j	j	X
ajst-27301	145	3	]	]	X
ajst-27301	145	4	.	.	PUNCT
ajst-27301	146	1	trends	trend	NOUN
ajst-27301	146	2	in	in	ADP
ajst-27301	146	3	cardiovascular	cardiovascular	ADJ
ajst-27301	146	4	medicine	medicine	NOUN
ajst-27301	146	5	,	,	PUNCT
ajst-27301	146	6	2024	2024	NUM
ajst-27301	146	7	.	.	PUNCT
ajst-27301	147	1	[	[	X
ajst-27301	147	2	5	5	NUM
ajst-27301	147	3	]	]	X
ajst-27301	147	4	pergola	pergola	PROPN
ajst-27301	147	5	v	v	NOUN
ajst-27301	147	6	,	,	PUNCT
ajst-27301	147	7	cameli	cameli	PROPN
ajst-27301	147	8	m	m	PROPN
ajst-27301	147	9	,	,	PUNCT
ajst-27301	147	10	mattesi	mattesi	PROPN
ajst-27301	147	11	g	g	PROPN
ajst-27301	147	12	,	,	PUNCT
ajst-27301	147	13	et	et	PROPN
ajst-27301	147	14	al	al	PROPN
ajst-27301	147	15	.	.	PUNCT
ajst-27301	147	16	multimodality	multimodality	NOUN
ajst-27301	147	17	imaging	imaging	NOUN
ajst-27301	147	18	in	in	ADP
ajst-27301	147	19	advanced	advanced	ADJ
ajst-27301	147	20	heart	heart	NOUN
ajst-27301	147	21	failure	failure	NOUN
ajst-27301	147	22	for	for	ADP
ajst-27301	147	23	diagnosis	diagnosis	NOUN
ajst-27301	147	24	,	,	PUNCT
ajst-27301	147	25	management	management	NOUN
ajst-27301	147	26	and	and	CCONJ
ajst-27301	147	27	follow	follow	NOUN
ajst-27301	147	28	-	-	PUNCT
ajst-27301	147	29	up	up	NOUN
ajst-27301	147	30	:	:	PUNCT
ajst-27301	147	31	a	a	DET
ajst-27301	147	32	comprehensive	comprehensive	ADJ
ajst-27301	147	33	review[j	review[j	NOUN
ajst-27301	147	34	]	]	PUNCT
ajst-27301	147	35	.	.	PUNCT
ajst-27301	148	1	journal	journal	PROPN
ajst-27301	148	2	of	of	ADP
ajst-27301	148	3	clinical	clinical	ADJ
ajst-27301	148	4	medicine	medicine	NOUN
ajst-27301	148	5	,	,	PUNCT
ajst-27301	148	6	2023	2023	NUM
ajst-27301	148	7	,	,	PUNCT
ajst-27301	148	8	12(24	12(24	NUM
ajst-27301	148	9	):	):	PUNCT
ajst-27301	148	10	7641	7641	NUM
ajst-27301	148	11	.	.	PUNCT