id	sid	tid	token	lemma	pos
ajst-19346	1	1	academic	academic	ADJ
ajst-19346	1	2	journal	journal	NOUN
ajst-19346	1	3	of	of	ADP
ajst-19346	1	4	science	science	NOUN
ajst-19346	1	5	and	and	CCONJ
ajst-19346	1	6	technology	technology	NOUN
ajst-19346	1	7	issn	issn	NOUN
ajst-19346	1	8	:	:	PUNCT
ajst-19346	1	9	2771	2771	NUM
ajst-19346	1	10	-	-	SYM
ajst-19346	1	11	3032	3032	NUM
ajst-19346	1	12	|	|	NOUN
ajst-19346	1	13	vol	vol	NOUN
ajst-19346	1	14	.	.	PROPN
ajst-19346	2	1	10	10	NUM
ajst-19346	2	2	,	,	PUNCT
ajst-19346	2	3	no	no	INTJ
ajst-19346	2	4	.	.	NOUN
ajst-19346	2	5	1	1	NUM
ajst-19346	2	6	,	,	PUNCT
ajst-19346	2	7	2024	2024	NUM
ajst-19346	2	8	467	467	NUM
ajst-19346	2	9	masked	mask	VERB
ajst-19346	2	10	self‐attention	self‐attention	NOUN
ajst-19346	2	11	dynamic	dynamic	ADJ
ajst-19346	2	12	imputation	imputation	NOUN
ajst-19346	2	13	model	model	NOUN
ajst-19346	2	14	for	for	ADP
ajst-19346	2	15	physiological	physiological	ADJ
ajst-19346	2	16	indicators	indicator	NOUN
ajst-19346	2	17	shaofeng	shaofeng	PROPN
ajst-19346	2	18	wu	wu	PROPN
ajst-19346	2	19	college	college	PROPN
ajst-19346	2	20	of	of	ADP
ajst-19346	2	21	software	software	PROPN
ajst-19346	2	22	engineering	engineering	PROPN
ajst-19346	2	23	,	,	PUNCT
ajst-19346	2	24	chengdu	chengdu	PROPN
ajst-19346	2	25	university	university	PROPN
ajst-19346	2	26	of	of	ADP
ajst-19346	2	27	information	information	NOUN
ajst-19346	2	28	technology	technology	PROPN
ajst-19346	2	29	,	,	PUNCT
ajst-19346	2	30	chengdu	chengdu	PROPN
ajst-19346	2	31	,	,	PUNCT
ajst-19346	2	32	china	china	PROPN
ajst-19346	2	33	abstract	abstract	PROPN
ajst-19346	2	34	:	:	PUNCT
ajst-19346	3	1	accurate	accurate	ADJ
ajst-19346	3	2	imputation	imputation	NOUN
ajst-19346	3	3	of	of	ADP
ajst-19346	3	4	missing	missing	ADJ
ajst-19346	3	5	and	and	CCONJ
ajst-19346	3	6	outlier	outlier	NOUN
ajst-19346	3	7	values	value	NOUN
ajst-19346	3	8	in	in	ADP
ajst-19346	3	9	intraoperative	intraoperative	ADJ
ajst-19346	3	10	physiological	physiological	ADJ
ajst-19346	3	11	indicators	indicator	NOUN
ajst-19346	3	12	can	can	AUX
ajst-19346	3	13	assist	assist	VERB
ajst-19346	3	14	doctors	doctor	NOUN
ajst-19346	3	15	in	in	ADP
ajst-19346	3	16	swiftly	swiftly	ADV
ajst-19346	3	17	taking	take	VERB
ajst-19346	3	18	measures	measure	NOUN
ajst-19346	3	19	to	to	PART
ajst-19346	3	20	prevent	prevent	VERB
ajst-19346	3	21	risks	risk	NOUN
ajst-19346	3	22	during	during	ADP
ajst-19346	3	23	surgery	surgery	NOUN
ajst-19346	3	24	,	,	PUNCT
ajst-19346	3	25	which	which	PRON
ajst-19346	3	26	in	in	ADP
ajst-19346	3	27	turn	turn	NOUN
ajst-19346	3	28	helps	help	VERB
ajst-19346	3	29	improve	improve	VERB
ajst-19346	3	30	postoperative	postoperative	ADJ
ajst-19346	3	31	prognosis	prognosis	NOUN
ajst-19346	3	32	for	for	ADP
ajst-19346	3	33	patients	patient	NOUN
ajst-19346	3	34	.	.	PUNCT
ajst-19346	4	1	traditional	traditional	ADJ
ajst-19346	4	2	data	datum	NOUN
ajst-19346	4	3	imputation	imputation	NOUN
ajst-19346	4	4	methods	method	NOUN
ajst-19346	4	5	have	have	AUX
ajst-19346	4	6	focused	focus	VERB
ajst-19346	4	7	too	too	ADV
ajst-19346	4	8	much	much	ADV
ajst-19346	4	9	on	on	ADP
ajst-19346	4	10	the	the	DET
ajst-19346	4	11	current	current	ADJ
ajst-19346	4	12	data	datum	NOUN
ajst-19346	4	13	itself	itself	PRON
ajst-19346	4	14	,	,	PUNCT
ajst-19346	4	15	neglecting	neglect	VERB
ajst-19346	4	16	the	the	DET
ajst-19346	4	17	contextual	contextual	ADJ
ajst-19346	4	18	information	information	NOUN
ajst-19346	4	19	provided	provide	VERB
ajst-19346	4	20	by	by	ADP
ajst-19346	4	21	surrounding	surround	VERB
ajst-19346	4	22	data	datum	NOUN
ajst-19346	4	23	points	point	NOUN
ajst-19346	4	24	.	.	PUNCT
ajst-19346	5	1	addressing	address	VERB
ajst-19346	5	2	this	this	DET
ajst-19346	5	3	issue	issue	NOUN
ajst-19346	5	4	,	,	PUNCT
ajst-19346	5	5	the	the	DET
ajst-19346	5	6	imputation	imputation	NOUN
ajst-19346	5	7	process	process	NOUN
ajst-19346	5	8	for	for	ADP
ajst-19346	5	9	intraoperative	intraoperative	ADJ
ajst-19346	5	10	physiological	physiological	ADJ
ajst-19346	5	11	indicator	indicator	NOUN
ajst-19346	5	12	data	datum	NOUN
ajst-19346	5	13	obtained	obtain	VERB
ajst-19346	5	14	through	through	ADP
ajst-19346	5	15	monitoring	monitoring	NOUN
ajst-19346	5	16	has	have	AUX
ajst-19346	5	17	been	be	AUX
ajst-19346	5	18	enhanced	enhance	VERB
ajst-19346	5	19	with	with	ADP
ajst-19346	5	20	a	a	DET
ajst-19346	5	21	model	model	NOUN
ajst-19346	5	22	that	that	PRON
ajst-19346	5	23	employs	employ	VERB
ajst-19346	5	24	a	a	DET
ajst-19346	5	25	self	self	NOUN
ajst-19346	5	26	-	-	PUNCT
ajst-19346	5	27	attention	attention	NOUN
ajst-19346	5	28	mechanism	mechanism	NOUN
ajst-19346	5	29	focusing	focus	VERB
ajst-19346	5	30	on	on	ADP
ajst-19346	5	31	the	the	DET
ajst-19346	5	32	data	datum	NOUN
ajst-19346	5	33	context	context	NOUN
ajst-19346	5	34	for	for	ADP
ajst-19346	5	35	dynamic	dynamic	ADJ
ajst-19346	5	36	weighting	weighting	NOUN
ajst-19346	5	37	during	during	ADP
ajst-19346	5	38	imputation	imputation	NOUN
ajst-19346	5	39	.	.	PUNCT
ajst-19346	6	1	experimental	experimental	ADJ
ajst-19346	6	2	results	result	NOUN
ajst-19346	6	3	indicate	indicate	VERB
ajst-19346	6	4	that	that	SCONJ
ajst-19346	6	5	the	the	DET
ajst-19346	6	6	proposed	propose	VERB
ajst-19346	6	7	model	model	NOUN
ajst-19346	6	8	achieves	achieve	VERB
ajst-19346	6	9	a	a	DET
ajst-19346	6	10	mae	mae	PROPN
ajst-19346	6	11	of	of	ADP
ajst-19346	6	12	2.06	2.06	NUM
ajst-19346	6	13	%	%	NOUN
ajst-19346	6	14	,	,	PUNCT
ajst-19346	6	15	a	a	DET
ajst-19346	6	16	rmse	rmse	NOUN
ajst-19346	6	17	of	of	ADP
ajst-19346	6	18	7.08	7.08	NUM
ajst-19346	6	19	%	%	NOUN
ajst-19346	6	20	,	,	PUNCT
ajst-19346	6	21	and	and	CCONJ
ajst-19346	6	22	a	a	DET
ajst-19346	6	23	mre	mre	NOUN
ajst-19346	6	24	of	of	ADP
ajst-19346	6	25	2.8	2.8	NUM
ajst-19346	6	26	%	%	NOUN
ajst-19346	6	27	,	,	PUNCT
ajst-19346	6	28	outperforming	outperform	VERB
ajst-19346	6	29	other	other	ADJ
ajst-19346	6	30	comparative	comparative	ADJ
ajst-19346	6	31	models	model	NOUN
ajst-19346	6	32	.	.	PUNCT
ajst-19346	7	1	keywords	keyword	NOUN
ajst-19346	7	2	:	:	PUNCT
ajst-19346	7	3	intraoperative	intraoperative	ADJ
ajst-19346	7	4	physiological	physiological	ADJ
ajst-19346	7	5	indicators	indicator	NOUN
ajst-19346	7	6	,	,	PUNCT
ajst-19346	7	7	data	datum	NOUN
ajst-19346	7	8	imputation	imputation	NOUN
ajst-19346	7	9	,	,	PUNCT
ajst-19346	7	10	dynamic	dynamic	ADJ
ajst-19346	7	11	weighting	weighting	NOUN
ajst-19346	7	12	,	,	PUNCT
ajst-19346	7	13	self	self	NOUN
ajst-19346	7	14	-	-	PUNCT
ajst-19346	7	15	attention	attention	NOUN
ajst-19346	7	16	mechanism	mechanism	NOUN
ajst-19346	7	17	.	.	PUNCT
ajst-19346	8	1	1	1	X
ajst-19346	8	2	.	.	X
ajst-19346	8	3	introduction	introduction	NOUN
ajst-19346	8	4	the	the	DET
ajst-19346	8	5	monitoring	monitoring	NOUN
ajst-19346	8	6	of	of	ADP
ajst-19346	8	7	intraoperative	intraoperative	ADJ
ajst-19346	8	8	physiological	physiological	ADJ
ajst-19346	8	9	indicators	indicator	NOUN
ajst-19346	8	10	serves	serve	VERB
ajst-19346	8	11	multiple	multiple	ADJ
ajst-19346	8	12	roles	role	NOUN
ajst-19346	8	13	.	.	PUNCT
ajst-19346	9	1	doctors	doctor	NOUN
ajst-19346	9	2	can	can	AUX
ajst-19346	9	3	ensure	ensure	VERB
ajst-19346	9	4	patient	patient	ADJ
ajst-19346	9	5	safety	safety	NOUN
ajst-19346	9	6	,	,	PUNCT
ajst-19346	9	7	guide	guide	VERB
ajst-19346	9	8	anesthesia	anesthesia	NOUN
ajst-19346	9	9	management	management	NOUN
ajst-19346	10	1	[	[	X
ajst-19346	10	2	1,2	1,2	NUM
ajst-19346	10	3	]	]	PUNCT
ajst-19346	10	4	,	,	PUNCT
ajst-19346	10	5	prevent	prevent	VERB
ajst-19346	10	6	complications	complication	NOUN
ajst-19346	10	7	[	[	X
ajst-19346	10	8	3,4	3,4	NUM
ajst-19346	10	9	]	]	PUNCT
ajst-19346	10	10	,	,	PUNCT
ajst-19346	10	11	and	and	CCONJ
ajst-19346	10	12	assist	assist	VERB
ajst-19346	10	13	in	in	ADP
ajst-19346	10	14	surgical	surgical	ADJ
ajst-19346	10	15	decision	decision	NOUN
ajst-19346	10	16	-	-	PUNCT
ajst-19346	10	17	making	making	NOUN
ajst-19346	10	18	by	by	ADP
ajst-19346	10	19	observing	observe	VERB
ajst-19346	10	20	changes	change	NOUN
ajst-19346	10	21	in	in	ADP
ajst-19346	10	22	intraoperative	intraoperative	ADJ
ajst-19346	10	23	physiological	physiological	ADJ
ajst-19346	10	24	indicators	indicator	NOUN
ajst-19346	10	25	.	.	PUNCT
ajst-19346	11	1	during	during	ADP
ajst-19346	11	2	surgery	surgery	NOUN
ajst-19346	11	3	,	,	PUNCT
ajst-19346	11	4	accurate	accurate	ADJ
ajst-19346	11	5	physiological	physiological	ADJ
ajst-19346	11	6	indicators	indicator	NOUN
ajst-19346	11	7	can	can	AUX
ajst-19346	11	8	provide	provide	VERB
ajst-19346	11	9	clinical	clinical	ADJ
ajst-19346	11	10	practitioners	practitioner	NOUN
ajst-19346	11	11	with	with	ADP
ajst-19346	11	12	the	the	DET
ajst-19346	11	13	information	information	NOUN
ajst-19346	11	14	needed	need	VERB
ajst-19346	11	15	to	to	PART
ajst-19346	11	16	proactively	proactively	ADV
ajst-19346	11	17	take	take	VERB
ajst-19346	11	18	measures	measure	NOUN
ajst-19346	11	19	to	to	PART
ajst-19346	11	20	prevent	prevent	VERB
ajst-19346	11	21	risks	risk	NOUN
ajst-19346	11	22	,	,	PUNCT
ajst-19346	11	23	thereby	thereby	ADV
ajst-19346	11	24	improving	improve	VERB
ajst-19346	11	25	postoperative	postoperative	ADJ
ajst-19346	11	26	prognosis	prognosis	NOUN
ajst-19346	11	27	for	for	ADP
ajst-19346	11	28	patients	patient	NOUN
ajst-19346	11	29	.	.	PUNCT
ajst-19346	12	1	however	however	ADV
ajst-19346	12	2	,	,	PUNCT
ajst-19346	12	3	due	due	ADP
ajst-19346	12	4	to	to	ADP
ajst-19346	12	5	equipment	equipment	NOUN
ajst-19346	12	6	limitations	limitation	NOUN
ajst-19346	12	7	or	or	CCONJ
ajst-19346	12	8	practical	practical	ADJ
ajst-19346	12	9	issues	issue	NOUN
ajst-19346	12	10	in	in	ADP
ajst-19346	12	11	clinical	clinical	ADJ
ajst-19346	12	12	operations	operation	NOUN
ajst-19346	12	13	,	,	PUNCT
ajst-19346	12	14	some	some	DET
ajst-19346	12	15	indicators	indicator	NOUN
ajst-19346	12	16	may	may	AUX
ajst-19346	12	17	experience	experience	VERB
ajst-19346	12	18	data	datum	NOUN
ajst-19346	12	19	loss	loss	NOUN
ajst-19346	12	20	;	;	PUNCT
ajst-19346	12	21	during	during	ADP
ajst-19346	12	22	patient	patient	ADJ
ajst-19346	12	23	positioning	positioning	NOUN
ajst-19346	12	24	adjustments	adjustment	NOUN
ajst-19346	12	25	or	or	CCONJ
ajst-19346	12	26	equipment	equipment	NOUN
ajst-19346	12	27	maintenance	maintenance	NOUN
ajst-19346	12	28	,	,	PUNCT
ajst-19346	12	29	monitoring	monitoring	NOUN
ajst-19346	12	30	may	may	AUX
ajst-19346	12	31	be	be	AUX
ajst-19346	12	32	temporarily	temporarily	ADV
ajst-19346	12	33	interrupted	interrupt	VERB
ajst-19346	12	34	,	,	PUNCT
ajst-19346	12	35	leading	lead	VERB
ajst-19346	12	36	to	to	ADP
ajst-19346	12	37	informational	informational	ADJ
ajst-19346	12	38	gaps	gap	NOUN
ajst-19346	12	39	;	;	PUNCT
ajst-19346	12	40	outlier	outlier	NOUN
ajst-19346	12	41	data	datum	NOUN
ajst-19346	12	42	may	may	AUX
ajst-19346	12	43	also	also	ADV
ajst-19346	12	44	occur	occur	VERB
ajst-19346	12	45	during	during	ADP
ajst-19346	12	46	surgery	surgery	NOUN
ajst-19346	12	47	,	,	PUNCT
ajst-19346	12	48	such	such	ADJ
ajst-19346	12	49	as	as	ADP
ajst-19346	12	50	sporadic	sporadic	ADJ
ajst-19346	12	51	reading	reading	NOUN
ajst-19346	12	52	distortions	distortion	NOUN
ajst-19346	12	53	caused	cause	VERB
ajst-19346	12	54	by	by	ADP
ajst-19346	12	55	sensor	sensor	NOUN
ajst-19346	12	56	detachment	detachment	NOUN
ajst-19346	12	57	or	or	CCONJ
ajst-19346	12	58	technical	technical	ADJ
ajst-19346	12	59	failures	failure	NOUN
ajst-19346	12	60	.	.	PUNCT
ajst-19346	13	1	these	these	DET
ajst-19346	13	2	situations	situation	NOUN
ajst-19346	13	3	can	can	AUX
ajst-19346	13	4	impact	impact	VERB
ajst-19346	13	5	the	the	DET
ajst-19346	13	6	quality	quality	NOUN
ajst-19346	13	7	of	of	ADP
ajst-19346	13	8	surgical	surgical	ADJ
ajst-19346	13	9	decisions	decision	NOUN
ajst-19346	13	10	and	and	CCONJ
ajst-19346	13	11	patient	patient	ADJ
ajst-19346	13	12	care	care	NOUN
ajst-19346	13	13	.	.	PUNCT
ajst-19346	14	1	as	as	SCONJ
ajst-19346	14	2	shown	show	VERB
ajst-19346	14	3	in	in	ADP
ajst-19346	14	4	figure	figure	NOUN
ajst-19346	14	5	1	1	NUM
ajst-19346	14	6	,	,	PUNCT
ajst-19346	14	7	the	the	DET
ajst-19346	14	8	missing	missing	ADJ
ajst-19346	14	9	and	and	CCONJ
ajst-19346	14	10	outlier	outlier	NOUN
ajst-19346	14	11	values	value	NOUN
ajst-19346	14	12	for	for	ADP
ajst-19346	14	13	systolic	systolic	ADJ
ajst-19346	14	14	pressure	pressure	NOUN
ajst-19346	14	15	are	be	AUX
ajst-19346	14	16	displayed	display	VERB
ajst-19346	14	17	.	.	PUNCT
ajst-19346	15	1	figure	figure	NOUN
ajst-19346	15	2	1	1	NUM
ajst-19346	15	3	.	.	PUNCT
ajst-19346	15	4	missing	miss	VERB
ajst-19346	15	5	and	and	CCONJ
ajst-19346	15	6	outlier	outlier	NOUN
ajst-19346	15	7	systolic	systolic	ADJ
ajst-19346	15	8	pressure	pressure	NOUN
ajst-19346	15	9	data	datum	NOUN
ajst-19346	15	10	.	.	PUNCT
ajst-19346	16	1	the	the	DET
ajst-19346	16	2	missing	miss	VERB
ajst-19346	16	3	values	value	NOUN
ajst-19346	16	4	in	in	ADP
ajst-19346	16	5	the	the	DET
ajst-19346	16	6	data	datum	NOUN
ajst-19346	16	7	are	be	AUX
ajst-19346	16	8	highlighted	highlight	VERB
ajst-19346	16	9	in	in	ADP
ajst-19346	16	10	the	the	DET
ajst-19346	16	11	red	red	PROPN
ajst-19346	16	12	box	box	PROPN
ajst-19346	16	13	,	,	PUNCT
ajst-19346	16	14	while	while	SCONJ
ajst-19346	16	15	the	the	DET
ajst-19346	16	16	outliers	outlier	NOUN
ajst-19346	16	17	are	be	AUX
ajst-19346	16	18	indicated	indicate	VERB
ajst-19346	16	19	in	in	ADP
ajst-19346	16	20	the	the	DET
ajst-19346	16	21	gray	gray	ADJ
ajst-19346	16	22	box	box	PROPN
ajst-19346	16	23	.	.	PUNCT
ajst-19346	17	1	currently	currently	ADV
ajst-19346	17	2	,	,	PUNCT
ajst-19346	17	3	the	the	DET
ajst-19346	17	4	handling	handling	NOUN
ajst-19346	17	5	of	of	ADP
ajst-19346	17	6	intraoperative	intraoperative	ADJ
ajst-19346	17	7	physiological	physiological	ADJ
ajst-19346	17	8	indicators	indicator	NOUN
ajst-19346	17	9	is	be	AUX
ajst-19346	17	10	one	one	NUM
ajst-19346	17	11	of	of	ADP
ajst-19346	17	12	the	the	DET
ajst-19346	17	13	hot	hot	ADJ
ajst-19346	17	14	research	research	NOUN
ajst-19346	17	15	topics	topic	NOUN
ajst-19346	17	16	.	.	PUNCT
ajst-19346	18	1	there	there	PRON
ajst-19346	18	2	are	be	VERB
ajst-19346	18	3	mainly	mainly	ADV
ajst-19346	18	4	two	two	NUM
ajst-19346	18	5	methods	method	NOUN
ajst-19346	18	6	for	for	ADP
ajst-19346	18	7	dealing	deal	VERB
ajst-19346	18	8	with	with	ADP
ajst-19346	18	9	incomplete	incomplete	ADJ
ajst-19346	18	10	data	datum	NOUN
ajst-19346	18	11	:	:	PUNCT
ajst-19346	18	12	one	one	NUM
ajst-19346	18	13	is	be	AUX
ajst-19346	18	14	to	to	PART
ajst-19346	18	15	delete	delete	VERB
ajst-19346	18	16	the	the	DET
ajst-19346	18	17	data	datum	NOUN
ajst-19346	18	18	that	that	PRON
ajst-19346	18	19	is	be	AUX
ajst-19346	18	20	missing	miss	VERB
ajst-19346	18	21	or	or	CCONJ
ajst-19346	18	22	erroneous	erroneous	ADJ
ajst-19346	18	23	[	[	X
ajst-19346	18	24	5	5	NUM
ajst-19346	18	25	]	]	PUNCT
ajst-19346	18	26	,	,	PUNCT
ajst-19346	18	27	and	and	CCONJ
ajst-19346	18	28	the	the	DET
ajst-19346	18	29	other	other	ADJ
ajst-19346	18	30	is	be	AUX
ajst-19346	18	31	to	to	PART
ajst-19346	18	32	perform	perform	VERB
ajst-19346	18	33	data	data	NOUN
ajst-19346	18	34	imputation	imputation	NOUN
ajst-19346	18	35	[	[	X
ajst-19346	18	36	6	6	NUM
ajst-19346	18	37	]	]	PUNCT
ajst-19346	18	38	.	.	PUNCT
ajst-19346	19	1	choe	choe	PROPN
ajst-19346	19	2	et	et	PROPN
ajst-19346	19	3	al	al	PROPN
ajst-19346	19	4	.	.	PUNCT
ajst-19346	20	1	[	[	X
ajst-19346	20	2	7	7	X
ajst-19346	20	3	]	]	PUNCT
ajst-19346	20	4	excluded	exclude	VERB
ajst-19346	20	5	arterial	arterial	NOUN
ajst-19346	20	6	waveform	waveform	VERB
ajst-19346	20	7	data	datum	NOUN
ajst-19346	20	8	that	that	PRON
ajst-19346	20	9	was	be	AUX
ajst-19346	20	10	clearly	clearly	ADV
ajst-19346	20	11	outside	outside	ADP
ajst-19346	20	12	physiological	physiological	ADJ
ajst-19346	20	13	ranges	range	NOUN
ajst-19346	20	14	during	during	ADP
ajst-19346	20	15	their	their	PRON
ajst-19346	20	16	analysis	analysis	NOUN
ajst-19346	20	17	.	.	PUNCT
ajst-19346	21	1	this	this	PRON
ajst-19346	21	2	included	include	VERB
ajst-19346	21	3	removing	remove	VERB
ajst-19346	21	4	segments	segment	NOUN
ajst-19346	21	5	with	with	ADP
ajst-19346	21	6	missing	miss	VERB
ajst-19346	21	7	values	value	NOUN
ajst-19346	21	8	,	,	PUNCT
ajst-19346	21	9	data	datum	NOUN
ajst-19346	21	10	where	where	SCONJ
ajst-19346	21	11	blood	blood	NOUN
ajst-19346	21	12	pressure	pressure	NOUN
ajst-19346	21	13	readings	reading	NOUN
ajst-19346	21	14	were	be	AUX
ajst-19346	21	15	higher	high	ADJ
ajst-19346	21	16	than	than	ADP
ajst-19346	21	17	200	200	NUM
ajst-19346	21	18	millimeters	millimeter	NOUN
ajst-19346	21	19	of	of	ADP
ajst-19346	21	20	mercury	mercury	NOUN
ajst-19346	21	21	(	(	PUNCT
ajst-19346	21	22	mmhg	mmhg	PROPN
ajst-19346	21	23	)	)	PUNCT
ajst-19346	21	24	or	or	CCONJ
ajst-19346	21	25	lower	low	ADJ
ajst-19346	21	26	than	than	ADP
ajst-19346	21	27	20	20	NUM
ajst-19346	21	28	mmhg	mmhg	NOUN
ajst-19346	21	29	,	,	PUNCT
ajst-19346	21	30	waveforms	waveform	VERB
ajst-19346	21	31	where	where	SCONJ
ajst-19346	21	32	the	the	DET
ajst-19346	21	33	difference	difference	NOUN
ajst-19346	21	34	between	between	ADP
ajst-19346	21	35	the	the	DET
ajst-19346	21	36	maximum	maximum	ADJ
ajst-19346	21	37	and	and	CCONJ
ajst-19346	21	38	minimum	minimum	ADJ
ajst-19346	21	39	blood	blood	NOUN
ajst-19346	21	40	pressure	pressure	NOUN
ajst-19346	21	41	values	value	NOUN
ajst-19346	21	42	was	be	AUX
ajst-19346	21	43	less	less	ADJ
ajst-19346	21	44	than	than	ADP
ajst-19346	21	45	20	20	NUM
ajst-19346	21	46	mmhg	mmhg	NOUN
ajst-19346	21	47	,	,	PUNCT
ajst-19346	21	48	and	and	CCONJ
ajst-19346	21	49	instances	instance	NOUN
ajst-19346	21	50	where	where	SCONJ
ajst-19346	21	51	the	the	DET
ajst-19346	21	52	difference	difference	NOUN
ajst-19346	21	53	between	between	ADP
ajst-19346	21	54	adjacent	adjacent	ADJ
ajst-19346	21	55	readings	reading	NOUN
ajst-19346	21	56	exceeded	exceed	VERB
ajst-19346	21	57	30	30	NUM
ajst-19346	21	58	mmhg	mmhg	NOUN
ajst-19346	21	59	.	.	PUNCT
ajst-19346	22	1	deleting	delete	VERB
ajst-19346	22	2	missing	miss	VERB
ajst-19346	22	3	data	datum	NOUN
ajst-19346	22	4	can	can	AUX
ajst-19346	22	5	lead	lead	VERB
ajst-19346	22	6	to	to	ADP
ajst-19346	22	7	the	the	DET
ajst-19346	22	8	loss	loss	NOUN
ajst-19346	22	9	of	of	ADP
ajst-19346	22	10	important	important	ADJ
ajst-19346	22	11	information	information	NOUN
ajst-19346	22	12	,	,	PUNCT
ajst-19346	22	13	and	and	CCONJ
ajst-19346	22	14	when	when	SCONJ
ajst-19346	22	15	the	the	DET
ajst-19346	22	16	missingness	missingness	NOUN
ajst-19346	22	17	is	be	AUX
ajst-19346	22	18	not	not	PART
ajst-19346	22	19	random	random	ADJ
ajst-19346	22	20	,	,	PUNCT
ajst-19346	22	21	this	this	DET
ajst-19346	22	22	practice	practice	NOUN
ajst-19346	22	23	may	may	AUX
ajst-19346	22	24	introduce	introduce	VERB
ajst-19346	22	25	bias	bias	NOUN
ajst-19346	22	26	that	that	PRON
ajst-19346	22	27	undermines	undermine	VERB
ajst-19346	22	28	the	the	DET
ajst-19346	22	29	validity	validity	NOUN
ajst-19346	22	30	of	of	ADP
ajst-19346	22	31	the	the	DET
ajst-19346	22	32	analysis	analysis	NOUN
ajst-19346	22	33	.	.	PUNCT
ajst-19346	23	1	therefore	therefore	ADV
ajst-19346	23	2	,	,	PUNCT
ajst-19346	23	3	a	a	DET
ajst-19346	23	4	more	more	ADV
ajst-19346	23	5	reasonable	reasonable	ADJ
ajst-19346	23	6	approach	approach	NOUN
ajst-19346	23	7	is	be	AUX
ajst-19346	23	8	to	to	PART
ajst-19346	23	9	use	use	VERB
ajst-19346	23	10	advanced	advanced	ADJ
ajst-19346	23	11	data	data	NOUN
ajst-19346	23	12	imputation	imputation	NOUN
ajst-19346	23	13	techniques	technique	NOUN
ajst-19346	23	14	to	to	PART
ajst-19346	23	15	retain	retain	VERB
ajst-19346	23	16	as	as	ADV
ajst-19346	23	17	much	much	ADJ
ajst-19346	23	18	information	information	NOUN
ajst-19346	23	19	as	as	ADP
ajst-19346	23	20	possible	possible	ADJ
ajst-19346	23	21	and	and	CCONJ
ajst-19346	23	22	improve	improve	VERB
ajst-19346	23	23	the	the	DET
ajst-19346	23	24	utilization	utilization	NOUN
ajst-19346	23	25	of	of	ADP
ajst-19346	23	26	data	data	PROPN
ajst-19346	23	27	.	.	PUNCT
ajst-19346	24	1	imputation	imputation	NOUN
ajst-19346	24	2	can	can	AUX
ajst-19346	24	3	be	be	AUX
ajst-19346	24	4	applied	apply	VERB
ajst-19346	24	5	not	not	PART
ajst-19346	24	6	only	only	ADV
ajst-19346	24	7	to	to	ADP
ajst-19346	24	8	missing	miss	VERB
ajst-19346	24	9	data	datum	NOUN
ajst-19346	24	10	but	but	CCONJ
ajst-19346	24	11	also	also	ADV
ajst-19346	24	12	to	to	ADP
ajst-19346	24	13	some	some	DET
ajst-19346	24	14	outlier	outlier	ADJ
ajst-19346	24	15	values	value	NOUN
ajst-19346	24	16	,	,	PUNCT
ajst-19346	24	17	which	which	PRON
ajst-19346	24	18	can	can	AUX
ajst-19346	24	19	be	be	AUX
ajst-19346	24	20	treated	treat	VERB
ajst-19346	24	21	as	as	ADP
ajst-19346	24	22	missing	miss	VERB
ajst-19346	24	23	values	value	NOUN
ajst-19346	24	24	for	for	ADP
ajst-19346	24	25	the	the	DET
ajst-19346	24	26	purpose	purpose	NOUN
ajst-19346	24	27	of	of	ADP
ajst-19346	24	28	imputation	imputation	NOUN
ajst-19346	24	29	.	.	PUNCT
ajst-19346	25	1	the	the	DET
ajst-19346	25	2	imputation	imputation	NOUN
ajst-19346	25	3	of	of	ADP
ajst-19346	25	4	intraoperative	intraoperative	ADJ
ajst-19346	25	5	physiological	physiological	ADJ
ajst-19346	25	6	indicators	indicator	NOUN
ajst-19346	25	7	468	468	NUM
ajst-19346	25	8	can	can	AUX
ajst-19346	25	9	be	be	AUX
ajst-19346	25	10	categorized	categorize	VERB
ajst-19346	25	11	into	into	ADP
ajst-19346	25	12	statistical	statistical	ADJ
ajst-19346	25	13	learning	learning	NOUN
ajst-19346	25	14	imputation	imputation	NOUN
ajst-19346	25	15	and	and	CCONJ
ajst-19346	25	16	machine	machine	NOUN
ajst-19346	25	17	learning	learning	NOUN
ajst-19346	25	18	imputation	imputation	NOUN
ajst-19346	25	19	.	.	PUNCT
ajst-19346	26	1	ribeiro	ribeiro	PROPN
ajst-19346	26	2	et	et	PROPN
ajst-19346	26	3	al	al	PROPN
ajst-19346	26	4	.	.	PUNCT
ajst-19346	27	1	[	[	X
ajst-19346	27	2	8	8	NUM
ajst-19346	27	3	]	]	PUNCT
ajst-19346	27	4	compared	compare	VERB
ajst-19346	27	5	methods	method	NOUN
ajst-19346	27	6	such	such	ADJ
ajst-19346	27	7	as	as	ADP
ajst-19346	27	8	special	special	ADJ
ajst-19346	27	9	value	value	NOUN
ajst-19346	27	10	imputation	imputation	NOUN
ajst-19346	27	11	,	,	PUNCT
ajst-19346	27	12	mean	mean	VERB
ajst-19346	27	13	imputation	imputation	NOUN
ajst-19346	27	14	,	,	PUNCT
ajst-19346	27	15	and	and	CCONJ
ajst-19346	27	16	median	median	ADJ
ajst-19346	27	17	imputation	imputation	NOUN
ajst-19346	27	18	to	to	PART
ajst-19346	27	19	choose	choose	VERB
ajst-19346	27	20	the	the	DET
ajst-19346	27	21	appropriate	appropriate	ADJ
ajst-19346	27	22	imputation	imputation	NOUN
ajst-19346	27	23	method	method	NOUN
ajst-19346	27	24	based	base	VERB
ajst-19346	27	25	on	on	ADP
ajst-19346	27	26	the	the	DET
ajst-19346	27	27	characteristics	characteristic	NOUN
ajst-19346	27	28	of	of	ADP
ajst-19346	27	29	the	the	DET
ajst-19346	27	30	data	datum	NOUN
ajst-19346	27	31	and	and	CCONJ
ajst-19346	27	32	the	the	DET
ajst-19346	27	33	mechanism	mechanism	NOUN
ajst-19346	27	34	of	of	ADP
ajst-19346	27	35	missingness	missingness	NOUN
ajst-19346	27	36	,	,	PUNCT
ajst-19346	27	37	and	and	CCONJ
ajst-19346	27	38	demonstrated	demonstrate	VERB
ajst-19346	27	39	the	the	DET
ajst-19346	27	40	practical	practical	ADJ
ajst-19346	27	41	application	application	NOUN
ajst-19346	27	42	and	and	CCONJ
ajst-19346	27	43	effectiveness	effectiveness	NOUN
ajst-19346	27	44	of	of	ADP
ajst-19346	27	45	different	different	ADJ
ajst-19346	27	46	imputation	imputation	NOUN
ajst-19346	27	47	methods	method	NOUN
ajst-19346	27	48	.	.	PUNCT
ajst-19346	28	1	ahn	ahn	PROPN
ajst-19346	28	2	et	et	PROPN
ajst-19346	28	3	al	al	PROPN
ajst-19346	28	4	.	.	PUNCT
ajst-19346	29	1	[	[	X
ajst-19346	29	2	9	9	NUM
ajst-19346	29	3	]	]	PUNCT
ajst-19346	29	4	showed	show	VERB
ajst-19346	29	5	the	the	DET
ajst-19346	29	6	effectiveness	effectiveness	NOUN
ajst-19346	29	7	of	of	ADP
ajst-19346	29	8	the	the	DET
ajst-19346	29	9	k	k	NOUN
ajst-19346	29	10	-	-	PUNCT
ajst-19346	29	11	nearest	near	ADJ
ajst-19346	29	12	neighbors	neighbor	NOUN
ajst-19346	29	13	(	(	PUNCT
ajst-19346	29	14	knn	knn	PROPN
ajst-19346	29	15	)	)	PUNCT
ajst-19346	29	16	imputation	imputation	NOUN
ajst-19346	29	17	method	method	NOUN
ajst-19346	29	18	in	in	ADP
ajst-19346	29	19	multivariate	multivariate	NOUN
ajst-19346	29	20	time	time	NOUN
ajst-19346	29	21	series	series	PROPN
ajst-19346	29	22	datasets	dataset	NOUN
ajst-19346	29	23	by	by	ADP
ajst-19346	29	24	finding	find	VERB
ajst-19346	29	25	the	the	DET
ajst-19346	29	26	k	k	PROPN
ajst-19346	29	27	closest	close	ADJ
ajst-19346	29	28	neighbors	neighbor	NOUN
ajst-19346	29	29	of	of	ADP
ajst-19346	29	30	a	a	DET
ajst-19346	29	31	missing	miss	VERB
ajst-19346	29	32	data	data	NOUN
ajst-19346	29	33	point	point	NOUN
ajst-19346	29	34	in	in	ADP
ajst-19346	29	35	a	a	DET
ajst-19346	29	36	multidimensional	multidimensional	ADJ
ajst-19346	29	37	feature	feature	NOUN
ajst-19346	29	38	space	space	NOUN
ajst-19346	29	39	and	and	CCONJ
ajst-19346	29	40	using	use	VERB
ajst-19346	29	41	their	their	PRON
ajst-19346	29	42	values	value	NOUN
ajst-19346	29	43	to	to	PART
ajst-19346	29	44	estimate	estimate	VERB
ajst-19346	29	45	the	the	DET
ajst-19346	29	46	missing	miss	VERB
ajst-19346	29	47	ones	one	NOUN
ajst-19346	29	48	.	.	PUNCT
ajst-19346	30	1	in	in	ADP
ajst-19346	30	2	recent	recent	ADJ
ajst-19346	30	3	years	year	NOUN
ajst-19346	30	4	,	,	PUNCT
ajst-19346	30	5	as	as	SCONJ
ajst-19346	30	6	deep	deep	ADJ
ajst-19346	30	7	learning	learning	NOUN
ajst-19346	30	8	has	have	AUX
ajst-19346	30	9	been	be	AUX
ajst-19346	30	10	validated	validate	VERB
ajst-19346	30	11	in	in	ADP
ajst-19346	30	12	numerous	numerous	ADJ
ajst-19346	30	13	fields	field	NOUN
ajst-19346	30	14	for	for	ADP
ajst-19346	30	15	imputation	imputation	NOUN
ajst-19346	30	16	tasks	task	NOUN
ajst-19346	30	17	,	,	PUNCT
ajst-19346	30	18	capable	capable	ADJ
ajst-19346	30	19	of	of	ADP
ajst-19346	30	20	capturing	capture	VERB
ajst-19346	30	21	complex	complex	ADJ
ajst-19346	30	22	feature	feature	NOUN
ajst-19346	30	23	transformations	transformation	NOUN
ajst-19346	30	24	to	to	PART
ajst-19346	30	25	yield	yield	VERB
ajst-19346	30	26	superior	superior	ADJ
ajst-19346	30	27	imputed	impute	VERB
ajst-19346	30	28	data[10,11	data[10,11	NOUN
ajst-19346	30	29	]	]	PUNCT
ajst-19346	30	30	.	.	PUNCT
ajst-19346	31	1	cao	cao	PROPN
ajst-19346	31	2	et	et	PROPN
ajst-19346	31	3	al	al	PROPN
ajst-19346	31	4	.	.	PUNCT
ajst-19346	32	1	[	[	X
ajst-19346	32	2	12	12	NUM
ajst-19346	32	3	]	]	PUNCT
ajst-19346	32	4	proposed	propose	VERB
ajst-19346	32	5	brits	brit	NOUN
ajst-19346	32	6	(	(	PUNCT
ajst-19346	32	7	bidirectional	bidirectional	ADJ
ajst-19346	32	8	recurrent	recurrent	ADJ
ajst-19346	32	9	imputation	imputation	NOUN
ajst-19346	32	10	for	for	ADP
ajst-19346	32	11	time	time	NOUN
ajst-19346	32	12	series	series	PROPN
ajst-19346	32	13	)	)	PUNCT
ajst-19346	32	14	,	,	PUNCT
ajst-19346	32	15	a	a	DET
ajst-19346	32	16	recurrent	recurrent	ADJ
ajst-19346	32	17	dynamic	dynamic	ADJ
ajst-19346	32	18	model	model	NOUN
ajst-19346	32	19	for	for	ADP
ajst-19346	32	20	estimating	estimate	VERB
ajst-19346	32	21	missing	miss	VERB
ajst-19346	32	22	values	value	NOUN
ajst-19346	32	23	.	.	PUNCT
ajst-19346	33	1	the	the	PRON
ajst-19346	33	2	closer	close	ADV
ajst-19346	33	3	a	a	DET
ajst-19346	33	4	missing	miss	VERB
ajst-19346	33	5	value	value	NOUN
ajst-19346	33	6	is	be	AUX
ajst-19346	33	7	to	to	ADP
ajst-19346	33	8	the	the	DET
ajst-19346	33	9	target	target	NOUN
ajst-19346	33	10	value	value	NOUN
ajst-19346	33	11	,	,	PUNCT
ajst-19346	33	12	the	the	PRON
ajst-19346	33	13	greater	great	ADJ
ajst-19346	33	14	the	the	DET
ajst-19346	33	15	influence	influence	NOUN
ajst-19346	33	16	it	it	PRON
ajst-19346	33	17	has	have	VERB
ajst-19346	33	18	on	on	ADP
ajst-19346	33	19	the	the	DET
ajst-19346	33	20	generation	generation	NOUN
ajst-19346	33	21	process	process	NOUN
ajst-19346	33	22	.	.	PUNCT
ajst-19346	34	1	to	to	PART
ajst-19346	34	2	handle	handle	VERB
ajst-19346	34	3	missing	miss	VERB
ajst-19346	34	4	values	value	NOUN
ajst-19346	34	5	,	,	PUNCT
ajst-19346	34	6	a	a	DET
ajst-19346	34	7	bidirectional	bidirectional	ADJ
ajst-19346	34	8	recurrent	recurrent	ADJ
ajst-19346	34	9	neural	neural	ADJ
ajst-19346	34	10	network	network	NOUN
ajst-19346	34	11	(	(	PUNCT
ajst-19346	34	12	rnn	rnn	PROPN
ajst-19346	34	13	)	)	PUNCT
ajst-19346	34	14	model	model	NOUN
ajst-19346	34	15	was	be	AUX
ajst-19346	34	16	designed	design	VERB
ajst-19346	34	17	to	to	PART
ajst-19346	34	18	input	input	VERB
ajst-19346	34	19	and	and	CCONJ
ajst-19346	34	20	predict	predict	VERB
ajst-19346	34	21	missing	miss	VERB
ajst-19346	34	22	values	value	NOUN
ajst-19346	34	23	.	.	PUNCT
ajst-19346	35	1	with	with	ADP
ajst-19346	35	2	the	the	DET
ajst-19346	35	3	success	success	NOUN
ajst-19346	35	4	of	of	ADP
ajst-19346	35	5	self	self	NOUN
ajst-19346	35	6	-	-	PUNCT
ajst-19346	35	7	attention	attention	NOUN
ajst-19346	35	8	mechanisms	mechanism	NOUN
ajst-19346	35	9	in	in	ADP
ajst-19346	35	10	natural	natural	ADJ
ajst-19346	35	11	language	language	NOUN
ajst-19346	35	12	processing	processing	NOUN
ajst-19346	35	13	[	[	X
ajst-19346	35	14	13,14	13,14	NUM
ajst-19346	35	15	]	]	PUNCT
ajst-19346	35	16	,	,	PUNCT
ajst-19346	35	17	they	they	PRON
ajst-19346	35	18	have	have	AUX
ajst-19346	35	19	also	also	ADV
ajst-19346	35	20	been	be	AUX
ajst-19346	35	21	introduced	introduce	VERB
ajst-19346	35	22	into	into	ADP
ajst-19346	35	23	time	time	NOUN
ajst-19346	35	24	series	series	NOUN
ajst-19346	35	25	models	model	NOUN
ajst-19346	35	26	.	.	PUNCT
ajst-19346	36	1	wu	wu	PROPN
ajst-19346	36	2	et	et	PROPN
ajst-19346	36	3	al	al	PROPN
ajst-19346	36	4	.	.	PUNCT
ajst-19346	37	1	[	[	X
ajst-19346	37	2	15	15	NUM
ajst-19346	37	3	]	]	PUNCT
ajst-19346	37	4	proposed	propose	VERB
ajst-19346	37	5	a	a	DET
ajst-19346	37	6	selfcorrelation	selfcorrelation	NOUN
ajst-19346	37	7	mechanism	mechanism	NOUN
ajst-19346	37	8	by	by	ADP
ajst-19346	37	9	improving	improve	VERB
ajst-19346	37	10	the	the	DET
ajst-19346	37	11	self	self	NOUN
ajst-19346	37	12	-	-	PUNCT
ajst-19346	37	13	attention	attention	NOUN
ajst-19346	37	14	mechanism	mechanism	NOUN
ajst-19346	37	15	,	,	PUNCT
ajst-19346	37	16	which	which	PRON
ajst-19346	37	17	identifies	identify	VERB
ajst-19346	37	18	the	the	DET
ajst-19346	37	19	similarity	similarity	NOUN
ajst-19346	37	20	between	between	ADP
ajst-19346	37	21	subsequences	subsequence	NOUN
ajst-19346	37	22	at	at	ADP
ajst-19346	37	23	the	the	DET
ajst-19346	37	24	same	same	ADJ
ajst-19346	37	25	phase	phase	NOUN
ajst-19346	37	26	positions	position	NOUN
ajst-19346	37	27	across	across	ADP
ajst-19346	37	28	different	different	ADJ
ajst-19346	37	29	periods	period	NOUN
ajst-19346	37	30	based	base	VERB
ajst-19346	37	31	on	on	ADP
ajst-19346	37	32	the	the	DET
ajst-19346	37	33	periodicity	periodicity	NOUN
ajst-19346	37	34	of	of	ADP
ajst-19346	37	35	time	time	NOUN
ajst-19346	37	36	series	series	NOUN
ajst-19346	37	37	.	.	PUNCT
ajst-19346	38	1	this	this	DET
ajst-19346	38	2	mechanism	mechanism	NOUN
ajst-19346	38	3	aggregates	aggregate	VERB
ajst-19346	38	4	information	information	NOUN
ajst-19346	38	5	from	from	ADP
ajst-19346	38	6	the	the	DET
ajst-19346	38	7	identified	identify	VERB
ajst-19346	38	8	similar	similar	ADJ
ajst-19346	38	9	subsequences	subsequence	NOUN
ajst-19346	38	10	,	,	PUNCT
ajst-19346	38	11	thereby	thereby	ADV
ajst-19346	38	12	reducing	reduce	VERB
ajst-19346	38	13	the	the	DET
ajst-19346	38	14	computational	computational	ADJ
ajst-19346	38	15	complexity	complexity	NOUN
ajst-19346	38	16	of	of	ADP
ajst-19346	38	17	the	the	DET
ajst-19346	38	18	self	self	NOUN
ajst-19346	38	19	-	-	PUNCT
ajst-19346	38	20	attention	attention	NOUN
ajst-19346	38	21	mechanism	mechanism	NOUN
ajst-19346	38	22	.	.	PUNCT
ajst-19346	39	1	shukla	shukla	NOUN
ajst-19346	39	2	et	et	PROPN
ajst-19346	39	3	al	al	PROPN
ajst-19346	39	4	.	.	PUNCT
ajst-19346	40	1	[	[	X
ajst-19346	40	2	16	16	NUM
ajst-19346	40	3	]	]	PUNCT
ajst-19346	40	4	utilized	utilize	VERB
ajst-19346	40	5	the	the	DET
ajst-19346	40	6	self	self	NOUN
ajst-19346	40	7	-	-	PUNCT
ajst-19346	40	8	attention	attention	NOUN
ajst-19346	40	9	mechanism	mechanism	NOUN
ajst-19346	40	10	from	from	ADP
ajst-19346	40	11	transformers	transformer	NOUN
ajst-19346	40	12	,	,	PUNCT
ajst-19346	40	13	proposing	propose	VERB
ajst-19346	40	14	learnable	learnable	ADJ
ajst-19346	40	15	time	time	NOUN
ajst-19346	40	16	embeddings	embedding	NOUN
ajst-19346	40	17	as	as	ADP
ajst-19346	40	18	positional	positional	ADJ
ajst-19346	40	19	encodings	encoding	NOUN
ajst-19346	40	20	and	and	CCONJ
ajst-19346	40	21	using	use	VERB
ajst-19346	40	22	temporally	temporally	ADV
ajst-19346	40	23	distributed	distribute	VERB
ajst-19346	40	24	latent	latent	NOUN
ajst-19346	40	25	representations	representation	NOUN
ajst-19346	40	26	to	to	PART
ajst-19346	40	27	better	well	ADV
ajst-19346	40	28	capture	capture	VERB
ajst-19346	40	29	the	the	DET
ajst-19346	40	30	local	local	ADJ
ajst-19346	40	31	structures	structure	NOUN
ajst-19346	40	32	of	of	ADP
ajst-19346	40	33	time	time	NOUN
ajst-19346	40	34	series	series	PROPN
ajst-19346	40	35	data	data	PROPN
ajst-19346	40	36	,	,	PUNCT
ajst-19346	40	37	albeit	albeit	SCONJ
ajst-19346	40	38	the	the	DET
ajst-19346	40	39	structure	structure	NOUN
ajst-19346	40	40	was	be	AUX
ajst-19346	40	41	too	too	ADV
ajst-19346	40	42	simplistic	simplistic	ADJ
ajst-19346	40	43	.	.	PUNCT
ajst-19346	41	1	du	du	PROPN
ajst-19346	41	2	et	et	PROPN
ajst-19346	41	3	al	al	PROPN
ajst-19346	41	4	.	.	PUNCT
ajst-19346	42	1	[	[	X
ajst-19346	42	2	17	17	NUM
ajst-19346	42	3	]	]	PUNCT
ajst-19346	42	4	introduced	introduce	VERB
ajst-19346	42	5	a	a	DET
ajst-19346	42	6	diagonal	diagonal	ADJ
ajst-19346	42	7	-	-	PUNCT
ajst-19346	42	8	masked	mask	VERB
ajst-19346	42	9	self	self	NOUN
ajst-19346	42	10	-	-	PUNCT
ajst-19346	42	11	attention	attention	NOUN
ajst-19346	42	12	(	(	PUNCT
ajst-19346	42	13	dmsa	dmsa	NOUN
ajst-19346	42	14	)	)	PUNCT
ajst-19346	42	15	mechanism	mechanism	NOUN
ajst-19346	42	16	to	to	PART
ajst-19346	42	17	eliminate	eliminate	VERB
ajst-19346	42	18	the	the	DET
ajst-19346	42	19	influence	influence	NOUN
ajst-19346	42	20	of	of	ADP
ajst-19346	42	21	sequence	sequence	NOUN
ajst-19346	42	22	elements	element	NOUN
ajst-19346	42	23	on	on	ADP
ajst-19346	42	24	themselves	themselves	PRON
ajst-19346	42	25	by	by	ADP
ajst-19346	42	26	applying	apply	VERB
ajst-19346	42	27	a	a	DET
ajst-19346	42	28	zero	zero	NUM
ajst-19346	42	29	matrix	matrix	NOUN
ajst-19346	42	30	where	where	SCONJ
ajst-19346	42	31	diagonal	diagonal	ADJ
ajst-19346	42	32	elements	element	NOUN
ajst-19346	42	33	are	be	AUX
ajst-19346	42	34	masked	mask	VERB
ajst-19346	42	35	on	on	ADP
ajst-19346	42	36	the	the	DET
ajst-19346	42	37	attention	attention	NOUN
ajst-19346	42	38	weights	weight	NOUN
ajst-19346	42	39	,	,	PUNCT
ajst-19346	42	40	modifying	modify	VERB
ajst-19346	42	41	the	the	DET
ajst-19346	42	42	process	process	NOUN
ajst-19346	42	43	and	and	CCONJ
ajst-19346	42	44	imputing	impute	VERB
ajst-19346	42	45	missing	miss	VERB
ajst-19346	42	46	values	value	NOUN
ajst-19346	42	47	with	with	ADP
ajst-19346	42	48	dynamic	dynamic	ADJ
ajst-19346	42	49	weights	weight	NOUN
ajst-19346	42	50	,	,	PUNCT
ajst-19346	42	51	though	though	SCONJ
ajst-19346	42	52	the	the	DET
ajst-19346	42	53	integration	integration	NOUN
ajst-19346	42	54	of	of	ADP
ajst-19346	42	55	dynamic	dynamic	ADJ
ajst-19346	42	56	weights	weight	NOUN
ajst-19346	42	57	was	be	AUX
ajst-19346	42	58	not	not	PART
ajst-19346	42	59	comprehensive	comprehensive	ADJ
ajst-19346	42	60	.	.	PUNCT
ajst-19346	43	1	to	to	PART
ajst-19346	43	2	address	address	VERB
ajst-19346	43	3	the	the	DET
ajst-19346	43	4	aforementioned	aforementioned	ADJ
ajst-19346	43	5	issues	issue	NOUN
ajst-19346	43	6	,	,	PUNCT
ajst-19346	43	7	this	this	DET
ajst-19346	43	8	paper	paper	NOUN
ajst-19346	43	9	models	model	NOUN
ajst-19346	43	10	the	the	DET
ajst-19346	43	11	joint	joint	ADJ
ajst-19346	43	12	representation	representation	NOUN
ajst-19346	43	13	of	of	ADP
ajst-19346	43	14	multiple	multiple	ADJ
ajst-19346	43	15	intraoperative	intraoperative	ADJ
ajst-19346	43	16	physiological	physiological	ADJ
ajst-19346	43	17	monitoring	monitoring	NOUN
ajst-19346	43	18	data	datum	NOUN
ajst-19346	43	19	of	of	ADP
ajst-19346	43	20	patients	patient	NOUN
ajst-19346	43	21	,	,	PUNCT
ajst-19346	43	22	uses	use	VERB
ajst-19346	43	23	two	two	NUM
ajst-19346	43	24	dmsa	dmsa	NOUN
ajst-19346	43	25	blocks	block	NOUN
ajst-19346	43	26	to	to	PART
ajst-19346	43	27	obtain	obtain	VERB
ajst-19346	43	28	learned	learn	VERB
ajst-19346	43	29	representations	representation	NOUN
ajst-19346	43	30	,	,	PUNCT
ajst-19346	43	31	and	and	CCONJ
ajst-19346	43	32	dynamically	dynamically	ADV
ajst-19346	43	33	integrates	integrate	VERB
ajst-19346	43	34	the	the	DET
ajst-19346	43	35	weights	weight	NOUN
ajst-19346	43	36	from	from	ADP
ajst-19346	43	37	the	the	DET
ajst-19346	43	38	two	two	NUM
ajst-19346	43	39	dmsa	dmsa	NOUN
ajst-19346	43	40	blocks	block	NOUN
ajst-19346	43	41	,	,	PUNCT
ajst-19346	43	42	allowing	allow	VERB
ajst-19346	43	43	for	for	ADP
ajst-19346	43	44	a	a	DET
ajst-19346	43	45	more	more	ADV
ajst-19346	43	46	comprehensive	comprehensive	ADJ
ajst-19346	43	47	learning	learning	NOUN
ajst-19346	43	48	for	for	ADP
ajst-19346	43	49	the	the	DET
ajst-19346	43	50	data	datum	NOUN
ajst-19346	43	51	that	that	PRON
ajst-19346	43	52	requires	require	VERB
ajst-19346	43	53	imputation	imputation	NOUN
ajst-19346	43	54	.	.	PUNCT
ajst-19346	44	1	2	2	X
ajst-19346	44	2	.	.	X
ajst-19346	44	3	methods	method	NOUN
ajst-19346	44	4	2.1	2.1	NUM
ajst-19346	44	5	.	.	PUNCT
ajst-19346	45	1	problem	problem	NOUN
ajst-19346	45	2	definition	definition	NOUN
ajst-19346	45	3	given	give	VERB
ajst-19346	45	4	a	a	DET
ajst-19346	45	5	collection	collection	NOUN
ajst-19346	45	6	of	of	ADP
ajst-19346	45	7	multivariate	multivariate	NOUN
ajst-19346	45	8	time	time	NOUN
ajst-19346	45	9	series	series	PROPN
ajst-19346	45	10	(	(	PUNCT
ajst-19346	45	11	mts	mts	PROPN
ajst-19346	45	12	)	)	PUNCT
ajst-19346	45	13	with	with	ADP
ajst-19346	45	14	t	t	NOUN
ajst-19346	45	15	time	time	NOUN
ajst-19346	45	16	steps	step	NOUN
ajst-19346	45	17	and	and	CCONJ
ajst-19346	45	18	d	d	NOUN
ajst-19346	45	19	dimensions	dimension	NOUN
ajst-19346	45	20	,	,	PUNCT
ajst-19346	45	21	it	it	PRON
ajst-19346	45	22	is	be	AUX
ajst-19346	45	23	denoted	denote	VERB
ajst-19346	45	24	as	as	ADP
ajst-19346	45	25	1	1	NUM
ajst-19346	45	26	2	2	NUM
ajst-19346	45	27	(	(	PUNCT
ajst-19346	45	28	,	,	PUNCT
ajst-19346	45	29	,	,	PUNCT
ajst-19346	45	30	...	...	PUNCT
ajst-19346	45	31	,	,	PUNCT
ajst-19346	45	32	...	...	PUNCT
ajst-19346	45	33	,	,	PUNCT
ajst-19346	45	34	)	)	PUNCT
ajst-19346	46	1			NUM
ajst-19346	47	1	d	d	X
ajst-19346	47	2	dx	dx	PROPN
ajst-19346	47	3	x	x	X
ajst-19346	47	4	x	x	NOUN
ajst-19346	47	5	xx	xx	X
ajst-19346	47	6	.	.	PUNCT
ajst-19346	48	1	where	where	SCONJ
ajst-19346	48	2	the	the	DET
ajst-19346	48	3	d	d	NOUN
ajst-19346	48	4	-	-	PUNCT
ajst-19346	48	5	th	th	VERB
ajst-19346	48	6	step	step	NOUN
ajst-19346	48	7	1	1	NUM
ajst-19346	48	8	2	2	NUM
ajst-19346	48	9	(	(	PUNCT
ajst-19346	48	10	,	,	PUNCT
ajst-19346	48	11	,	,	PUNCT
ajst-19346	48	12	...	...	PUNCT
ajst-19346	48	13	,	,	PUNCT
ajst-19346	48	14	,	,	PUNCT
ajst-19346	48	15	...	...	PUNCT
ajst-19346	48	16	,	,	PUNCT
ajst-19346	48	17	)	)	PUNCT
ajst-19346	48	18	d	d	PROPN
ajst-19346	48	19	d	d	NOUN
ajst-19346	48	20	t	t	NOUN
ajst-19346	48	21	t	t	PROPN
ajst-19346	48	22	d	d	X
ajst-19346	48	23	d	d	X
ajst-19346	48	24	dx	dx	PROPN
ajst-19346	48	25	x	x	X
ajst-19346	48	26	x	x	SYM
ajst-19346	48	27	xx	xx	NUM
ajst-19346	48	28	,	,	PUNCT
ajst-19346	48	29	d	d	PROPN
ajst-19346	48	30	tx	tx	PROPN
ajst-19346	48	31	represents	represent	VERB
ajst-19346	48	32	the	the	DET
ajst-19346	48	33	d	d	PROPN
ajst-19346	48	34	-	-	PUNCT
ajst-19346	48	35	th	th	VERB
ajst-19346	48	36	dimension	dimension	NOUN
ajst-19346	48	37	variable	variable	NOUN
ajst-19346	48	38	of	of	ADP
ajst-19346	48	39	the	the	DET
ajst-19346	48	40	t	t	PROPN
ajst-19346	48	41	-	-	PUNCT
ajst-19346	48	42	th	th	VERB
ajst-19346	48	43	step	step	NOUN
ajst-19346	48	44	in	in	ADP
ajst-19346	48	45	x.	x.	NOUN
ajst-19346	48	46	to	to	PART
ajst-19346	48	47	enable	enable	VERB
ajst-19346	48	48	the	the	DET
ajst-19346	48	49	model	model	NOUN
ajst-19346	48	50	to	to	PART
ajst-19346	48	51	learn	learn	VERB
ajst-19346	48	52	the	the	DET
ajst-19346	48	53	location	location	NOUN
ajst-19346	48	54	of	of	ADP
ajst-19346	48	55	the	the	DET
ajst-19346	48	56	data	datum	NOUN
ajst-19346	48	57	that	that	PRON
ajst-19346	48	58	needs	need	VERB
ajst-19346	48	59	to	to	PART
ajst-19346	48	60	be	be	AUX
ajst-19346	48	61	imputed	impute	VERB
ajst-19346	48	62	within	within	ADP
ajst-19346	48	63	the	the	DET
ajst-19346	48	64	input	input	NOUN
ajst-19346	48	65	multivariate	multivariate	NOUN
ajst-19346	48	66	time	time	NOUN
ajst-19346	48	67	series	series	PROPN
ajst-19346	48	68	,	,	PUNCT
ajst-19346	48	69	a	a	DET
ajst-19346	48	70	missingness	missingness	ADJ
ajst-19346	48	71	matrix	matrix	NOUN
ajst-19346	48	72	m	m	VERB
ajst-19346	48	73	is	be	AUX
ajst-19346	48	74	introduced	introduce	VERB
ajst-19346	48	75	,	,	PUNCT
ajst-19346	48	76	where	where	SCONJ
ajst-19346	48	77	1	1	NUM
ajst-19346	48	78	2	2	NUM
ajst-19346	48	79	(	(	PUNCT
ajst-19346	48	80	,	,	PUNCT
ajst-19346	48	81	,	,	PUNCT
ajst-19346	48	82	...	...	PUNCT
ajst-19346	48	83	,	,	PUNCT
ajst-19346	48	84	)	)	PUNCT
ajst-19346	49	1	dm	dm	X
ajst-19346	49	2	m	m	VERB
ajst-19346	49	3	m	m	VERB
ajst-19346	49	4	m	m	ADJ
ajst-19346	49	5	is	be	AUX
ajst-19346	49	6	missing	miss	VERB
ajst-19346	49	7	,	,	PUNCT
ajst-19346	49	8	and	and	CCONJ
ajst-19346	49	9	1	1	NUM
ajst-19346	49	10	2	2	NUM
ajst-19346	49	11	(	(	PUNCT
ajst-19346	49	12	,	,	PUNCT
ajst-19346	49	13	,	,	PUNCT
ajst-19346	49	14	...	...	PUNCT
ajst-19346	49	15	,	,	PUNCT
ajst-19346	49	16	)	)	PUNCT
ajst-19346	50	1	d	d	X
ajst-19346	51	1	d	d	PUNCT
ajst-19346	51	2	d	d	PROPN
ajst-19346	51	3	d	d	PROPN
ajst-19346	51	4	tm	tm	PROPN
ajst-19346	51	5	m	m	PROPN
ajst-19346	51	6	mm	mm	X
ajst-19346	51	7	otherwise	otherwise	ADV
ajst-19346	51	8	.	.	PUNCT
ajst-19346	52	1	the	the	DET
ajst-19346	52	2	calculation	calculation	NOUN
ajst-19346	52	3	formula	formula	NOUN
ajst-19346	52	4	is	be	AUX
ajst-19346	52	5	as	as	SCONJ
ajst-19346	52	6	follows	follow	VERB
ajst-19346	52	7	:	:	PUNCT
ajst-19346	52	8	1	1	NUM
ajst-19346	52	9	if	if	SCONJ
ajst-19346	52	10	is	be	AUX
ajst-19346	52	11	observed	observe	VERB
ajst-19346	52	12	0	0	PUNCT
ajst-19346	53	1	if	if	SCONJ
ajst-19346	53	2	is	be	AUX
ajst-19346	53	3	missing	miss	VERB
ajst-19346	53	4			ADP
ajst-19346	54	1			PRON
ajst-19346	54	2			NOUN
ajst-19346	54	3			NUM
ajst-19346	54	4			PROPN
ajst-19346	54	5	dxd	dxd	PROPN
ajst-19346	54	6	tm	tm	PROPN
ajst-19346	54	7	t	t	PROPN
ajst-19346	54	8	dxt	dxt	PROPN
ajst-19346	54	9	(	(	PUNCT
ajst-19346	54	10	1	1	NUM
ajst-19346	54	11	)	)	PUNCT
ajst-19346	54	12	2.2	2.2	NUM
ajst-19346	54	13	.	.	PUNCT
ajst-19346	55	1	diagonal	diagonal	ADJ
ajst-19346	55	2	-	-	PUNCT
ajst-19346	55	3	masked	mask	VERB
ajst-19346	55	4	self	self	NOUN
ajst-19346	55	5	-	-	PUNCT
ajst-19346	55	6	attention	attention	NOUN
ajst-19346	55	7	mechanism	mechanism	NOUN
ajst-19346	55	8	the	the	DET
ajst-19346	55	9	dmsa	dmsa	NOUN
ajst-19346	55	10	mechanism	mechanism	NOUN
ajst-19346	55	11	is	be	AUX
ajst-19346	55	12	an	an	DET
ajst-19346	55	13	extension	extension	NOUN
ajst-19346	55	14	of	of	ADP
ajst-19346	55	15	the	the	DET
ajst-19346	55	16	self	self	NOUN
ajst-19346	55	17	-	-	PUNCT
ajst-19346	55	18	attention	attention	NOUN
ajst-19346	55	19	mechanism	mechanism	NOUN
ajst-19346	55	20	,	,	PUNCT
ajst-19346	55	21	adding	add	VERB
ajst-19346	55	22	a	a	DET
ajst-19346	55	23	unique	unique	ADJ
ajst-19346	55	24	feature	feature	NOUN
ajst-19346	55	25	within	within	ADP
ajst-19346	55	26	the	the	DET
ajst-19346	55	27	basic	basic	ADJ
ajst-19346	55	28	framework	framework	NOUN
ajst-19346	55	29	of	of	ADP
ajst-19346	55	30	self	self	NOUN
ajst-19346	55	31	-	-	PUNCT
ajst-19346	55	32	attention	attention	NOUN
ajst-19346	55	33	to	to	PART
ajst-19346	55	34	enhance	enhance	VERB
ajst-19346	55	35	the	the	DET
ajst-19346	55	36	model	model	NOUN
ajst-19346	55	37	's	's	PART
ajst-19346	55	38	ability	ability	NOUN
ajst-19346	55	39	to	to	PART
ajst-19346	55	40	capture	capture	VERB
ajst-19346	55	41	temporal	temporal	ADJ
ajst-19346	55	42	relationships	relationship	NOUN
ajst-19346	55	43	in	in	ADP
ajst-19346	55	44	sequential	sequential	ADJ
ajst-19346	55	45	data	datum	NOUN
ajst-19346	55	46	.	.	PUNCT
ajst-19346	56	1	the	the	DET
ajst-19346	56	2	dmsa	dmsa	NOUN
ajst-19346	56	3	mechanism	mechanism	NOUN
ajst-19346	56	4	is	be	AUX
ajst-19346	56	5	shown	show	VERB
ajst-19346	56	6	in	in	ADP
ajst-19346	56	7	figure	figure	NOUN
ajst-19346	56	8	2	2	NUM
ajst-19346	56	9	.	.	PUNCT
ajst-19346	57	1	in	in	ADP
ajst-19346	57	2	this	this	DET
ajst-19346	57	3	mechanism	mechanism	NOUN
ajst-19346	57	4	,	,	PUNCT
ajst-19346	57	5	the	the	DET
ajst-19346	57	6	query	query	NOUN
ajst-19346	57	7	,	,	PUNCT
ajst-19346	57	8	key	key	ADJ
ajst-19346	57	9	,	,	PUNCT
ajst-19346	57	10	and	and	CCONJ
ajst-19346	57	11	value	value	NOUN
ajst-19346	57	12	vectors	vector	NOUN
ajst-19346	57	13	are	be	AUX
ajst-19346	57	14	still	still	ADV
ajst-19346	57	15	obtained	obtain	VERB
ajst-19346	57	16	by	by	ADP
ajst-19346	57	17	mapping	map	VERB
ajst-19346	57	18	the	the	DET
ajst-19346	57	19	given	give	VERB
ajst-19346	57	20	sequence	sequence	NOUN
ajst-19346	57	21	data	datum	NOUN
ajst-19346	57	22	,	,	PUNCT
ajst-19346	57	23	maintaining	maintain	VERB
ajst-19346	57	24	consistency	consistency	NOUN
ajst-19346	57	25	with	with	ADP
ajst-19346	57	26	the	the	DET
ajst-19346	57	27	original	original	ADJ
ajst-19346	57	28	selfattention	selfattention	NOUN
ajst-19346	57	29	mechanism	mechanism	NOUN
ajst-19346	57	30	.	.	PUNCT
ajst-19346	58	1	the	the	DET
ajst-19346	58	2	difference	difference	NOUN
ajst-19346	58	3	lies	lie	VERB
ajst-19346	58	4	in	in	ADP
ajst-19346	58	5	the	the	DET
ajst-19346	58	6	introduction	introduction	NOUN
ajst-19346	58	7	of	of	ADP
ajst-19346	58	8	a	a	DET
ajst-19346	58	9	diagonal	diagonal	ADJ
ajst-19346	58	10	masking	masking	NOUN
ajst-19346	58	11	module	module	NOUN
ajst-19346	58	12	in	in	ADP
ajst-19346	58	13	the	the	DET
ajst-19346	58	14	dmsa	dmsa	NOUN
ajst-19346	58	15	,	,	PUNCT
ajst-19346	58	16	specifically	specifically	ADV
ajst-19346	58	17	designed	design	VERB
ajst-19346	58	18	to	to	PART
ajst-19346	58	19	strengthen	strengthen	VERB
ajst-19346	58	20	the	the	DET
ajst-19346	58	21	model	model	NOUN
ajst-19346	58	22	's	's	PART
ajst-19346	58	23	understanding	understanding	NOUN
ajst-19346	58	24	of	of	ADP
ajst-19346	58	25	the	the	DET
ajst-19346	58	26	relationships	relationship	NOUN
ajst-19346	58	27	between	between	ADP
ajst-19346	58	28	each	each	DET
ajst-19346	58	29	element	element	NOUN
ajst-19346	58	30	in	in	ADP
ajst-19346	58	31	the	the	DET
ajst-19346	58	32	sequence	sequence	NOUN
ajst-19346	58	33	and	and	CCONJ
ajst-19346	58	34	other	other	ADJ
ajst-19346	58	35	elements	element	NOUN
ajst-19346	58	36	,	,	PUNCT
ajst-19346	58	37	especially	especially	ADV
ajst-19346	58	38	those	those	PRON
ajst-19346	58	39	temporally	temporally	ADV
ajst-19346	58	40	adjacent	adjacent	ADJ
ajst-19346	58	41	.	.	PUNCT
ajst-19346	59	1	this	this	DET
ajst-19346	59	2	diagonal	diagonal	ADJ
ajst-19346	59	3	masking	masking	NOUN
ajst-19346	59	4	sets	set	VERB
ajst-19346	59	5	the	the	DET
ajst-19346	59	6	diagonal	diagonal	ADJ
ajst-19346	59	7	elements	element	NOUN
ajst-19346	59	8	of	of	ADP
ajst-19346	59	9	the	the	DET
ajst-19346	59	10	attention	attention	NOUN
ajst-19346	59	11	score	score	NOUN
ajst-19346	59	12	matrix	matrix	NOUN
ajst-19346	59	13	to	to	ADP
ajst-19346	59	14	negative	negative	ADJ
ajst-19346	59	15	infinity	infinity	NOUN
ajst-19346	59	16	(	(	PUNCT
ajst-19346	59	17	or	or	CCONJ
ajst-19346	59	18	in	in	ADP
ajst-19346	59	19	practice	practice	NOUN
ajst-19346	59	20	,	,	PUNCT
ajst-19346	59	21	a	a	DET
ajst-19346	59	22	very	very	ADV
ajst-19346	59	23	small	small	ADJ
ajst-19346	59	24	number	number	NOUN
ajst-19346	59	25	,	,	PUNCT
ajst-19346	59	26	such	such	ADJ
ajst-19346	59	27	as	as	ADP
ajst-19346	59	28	−∞	−∞	NOUN
ajst-19346	59	29	)	)	PUNCT
ajst-19346	59	30	,	,	PUNCT
ajst-19346	59	31	ensuring	ensure	VERB
ajst-19346	59	32	that	that	SCONJ
ajst-19346	59	33	the	the	DET
ajst-19346	59	34	attention	attention	NOUN
ajst-19346	59	35	weights	weight	VERB
ajst-19346	59	36	for	for	ADP
ajst-19346	59	37	these	these	DET
ajst-19346	59	38	positions	position	NOUN
ajst-19346	59	39	are	be	AUX
ajst-19346	59	40	close	close	ADJ
ajst-19346	59	41	to	to	ADP
ajst-19346	59	42	zero	zero	NUM
ajst-19346	59	43	after	after	ADP
ajst-19346	59	44	the	the	DET
ajst-19346	59	45	softmax	softmax	PROPN
ajst-19346	59	46	normalization	normalization	NOUN
ajst-19346	59	47	step	step	NOUN
ajst-19346	59	48	.	.	PUNCT
ajst-19346	60	1	the	the	DET
ajst-19346	60	2	calculation	calculation	NOUN
ajst-19346	60	3	formula	formula	NOUN
ajst-19346	60	4	is	be	AUX
ajst-19346	60	5	as	as	SCONJ
ajst-19346	60	6	follows	follow	VERB
ajst-19346	60	7	:	:	PUNCT
ajst-19346	60	8			NOUN
ajst-19346	61	1			SYM
ajst-19346	61	2			NOUN
ajst-19346	61	3			SYM
ajst-19346	61	4			NOUN
ajst-19346	61	5			ADJ
ajst-19346	61	6	diagmask	diagmask	PROPN
ajst-19346	61	7	,	,	PUNCT
ajst-19346	61	8	,	,	PUNCT
ajst-19346	61	9			VERB
ajst-19346	61	10			NUM
ajst-19346	61	11			NUM
ajst-19346	61	12			NOUN
ajst-19346	61	13			PROPN
ajst-19346	61	14			PROPN
ajst-19346	61	15			PROPN
ajst-19346	62	1	i	i	PRON
ajst-19346	62	2	j	j	PROPN
ajst-19346	62	3	x	x	VERB
ajst-19346	63	1	i	i	PRON
ajst-19346	63	2	j	j	NOUN
ajst-19346	63	3	x	x	VERB
ajst-19346	64	1	i	i	PRON
ajst-19346	64	2	j	j	VERB
ajst-19346	65	1	i	i	PRON
ajst-19346	65	2	j	j	PROPN
ajst-19346	65	3	(	(	PUNCT
ajst-19346	65	4	2	2	NUM
ajst-19346	65	5	)	)	PUNCT
ajst-19346	65	6			NOUN
ajst-19346	65	7	dmsa	dmsa	NOUN
ajst-19346	65	8	,	,	PUNCT
ajst-19346	65	9	,	,	PUNCT
ajst-19346	65	10	softmax	softmax	X
ajst-19346	65	11	diagmask	diagmask	ADP
ajst-19346	65	12			NOUN
ajst-19346	65	13			PROPN
ajst-19346	65	14			PROPN
ajst-19346	65	15			PROPN
ajst-19346	65	16			X
ajst-19346	66	1			X
ajst-19346	66	2			X
ajst-19346	67	1			VERB
ajst-19346	67	2			NOUN
ajst-19346	67	3			NOUN
ajst-19346	67	4	qk	qk	VERB
ajst-19346	67	5	q	q	PROPN
ajst-19346	68	1	k	k	PROPN
ajst-19346	68	2	v	v	INTJ
ajst-19346	68	3	v	v	INTJ
ajst-19346	68	4	d	d	X
ajst-19346	68	5	k	k	PROPN
ajst-19346	68	6	t	t	PROPN
ajst-19346	68	7	(	(	PUNCT
ajst-19346	68	8	3	3	NUM
ajst-19346	68	9	)	)	PUNCT
ajst-19346	68	10	q	q	NOUN
ajst-19346	68	11	,	,	PUNCT
ajst-19346	68	12	k	k	NOUN
ajst-19346	68	13	,	,	PUNCT
ajst-19346	68	14	and	and	CCONJ
ajst-19346	68	15	v	v	AUX
ajst-19346	68	16	represent	represent	VERB
ajst-19346	68	17	the	the	DET
ajst-19346	68	18	query	query	NOUN
ajst-19346	68	19	vector	vector	NOUN
ajst-19346	68	20	,	,	PUNCT
ajst-19346	68	21	key	key	ADJ
ajst-19346	68	22	vector	vector	NOUN
ajst-19346	68	23	,	,	PUNCT
ajst-19346	68	24	and	and	CCONJ
ajst-19346	68	25	value	value	NOUN
ajst-19346	68	26	vector	vector	NOUN
ajst-19346	68	27	,	,	PUNCT
ajst-19346	68	28	respectively	respectively	ADV
ajst-19346	68	29	,	,	PUNCT
ajst-19346	68	30	and	and	CCONJ
ajst-19346	68	31	kd	kd	PROPN
ajst-19346	68	32	is	be	AUX
ajst-19346	68	33	the	the	DET
ajst-19346	68	34	dimension	dimension	NOUN
ajst-19346	68	35	of	of	ADP
ajst-19346	68	36	these	these	DET
ajst-19346	68	37	three	three	NUM
ajst-19346	68	38	vectors	vector	NOUN
ajst-19346	68	39	.	.	PUNCT
ajst-19346	69	1	as	as	ADP
ajst-19346	69	2	a	a	DET
ajst-19346	69	3	result	result	NOUN
ajst-19346	69	4	,	,	PUNCT
ajst-19346	69	5	the	the	DET
ajst-19346	69	6	model	model	NOUN
ajst-19346	69	7	,	,	PUNCT
ajst-19346	69	8	when	when	SCONJ
ajst-19346	69	9	computing	compute	VERB
ajst-19346	69	10	the	the	DET
ajst-19346	69	11	representation	representation	NOUN
ajst-19346	69	12	of	of	ADP
ajst-19346	69	13	each	each	DET
ajst-19346	69	14	element	element	NOUN
ajst-19346	69	15	,	,	PUNCT
ajst-19346	69	16	is	be	AUX
ajst-19346	69	17	forced	force	VERB
ajst-19346	69	18	to	to	PART
ajst-19346	69	19	ignore	ignore	VERB
ajst-19346	69	20	itself	itself	PRON
ajst-19346	69	21	and	and	CCONJ
ajst-19346	69	22	focus	focus	VERB
ajst-19346	69	23	on	on	ADP
ajst-19346	69	24	other	other	ADJ
ajst-19346	69	25	relevant	relevant	ADJ
ajst-19346	69	26	elements	element	NOUN
ajst-19346	69	27	.	.	PUNCT
ajst-19346	70	1	scale	scale	NOUN
ajst-19346	70	2	matmul	matmul	PROPN
ajst-19346	70	3	q	q	PROPN
ajst-19346	71	1	k	k	PROPN
ajst-19346	71	2	softmax	softmax	PROPN
ajst-19346	71	3	matmul	matmul	PROPN
ajst-19346	71	4	v	v	ADP
ajst-19346	71	5	diagonally	diagonally	ADV
ajst-19346	71	6	masking	mask	VERB
ajst-19346	71	7	a	a	DET
ajst-19346	71	8	2	2	NUM
ajst-19346	71	9	t	t	NOUN
ajst-19346	71	10	3	3	NUM
ajst-19346	71	11	t	t	NOUN
ajst-19346	71	12	5t4	5t4	NUM
ajst-19346	71	13	t	t	NOUN
ajst-19346	71	14	1	1	NUM
ajst-19346	71	15	t	t	NOUN
ajst-19346	71	16	1	1	NUM
ajst-19346	71	17	t	t	NOUN
ajst-19346	71	18	3	3	NUM
ajst-19346	71	19	t	t	NOUN
ajst-19346	71	20	2	2	NUM
ajst-19346	71	21	t	t	NOUN
ajst-19346	71	22	4	4	NUM
ajst-19346	71	23	t	t	NOUN
ajst-19346	71	24	5	5	NUM
ajst-19346	71	25	t	t	NOUN
ajst-19346	71	26	2	2	NUM
ajst-19346	71	27	t	t	NOUN
ajst-19346	71	28	3	3	NUM
ajst-19346	71	29	t	t	NOUN
ajst-19346	71	30	5t4	5t4	NUM
ajst-19346	71	31	t	t	NOUN
ajst-19346	71	32	1	1	NUM
ajst-19346	71	33	t	t	NOUN
ajst-19346	71	34	1	1	NUM
ajst-19346	71	35	t	t	NOUN
ajst-19346	71	36	3	3	NUM
ajst-19346	71	37	t	t	NOUN
ajst-19346	71	38	2	2	NUM
ajst-19346	71	39	t	t	NOUN
ajst-19346	71	40	4	4	NUM
ajst-19346	71	41	t	t	NOUN
ajst-19346	71	42	5	5	NUM
ajst-19346	71	43	t	t	NOUN
ajst-19346	71	44	0	0	NUM
ajst-19346	71	45	0	0	NUM
ajst-19346	71	46	0	0	NUM
ajst-19346	71	47	0	0	NUM
ajst-19346	71	48	0	0	NUM
ajst-19346	71	49	figure	figure	NOUN
ajst-19346	71	50	2	2	NUM
ajst-19346	71	51	.	.	PUNCT
ajst-19346	72	1	diagonal	diagonal	ADJ
ajst-19346	72	2	-	-	PUNCT
ajst-19346	72	3	masked	mask	VERB
ajst-19346	72	4	self	self	NOUN
ajst-19346	72	5	-	-	PUNCT
ajst-19346	72	6	attention	attention	NOUN
ajst-19346	72	7	mechanism	mechanism	NOUN
ajst-19346	72	8	469	469	NUM
ajst-19346	72	9	linear	linear	ADJ
ajst-19346	72	10	diagonal	diagonal	ADJ
ajst-19346	72	11	-	-	PUNCT
ajst-19346	72	12	masked	mask	VERB
ajst-19346	72	13	self	self	NOUN
ajst-19346	72	14	-	-	PUNCT
ajst-19346	72	15	attention	attention	NOUN
ajst-19346	72	16	linear	linear	PROPN
ajst-19346	72	17	linear	linear	PROPN
ajst-19346	72	18	concat	concat	PROPN
ajst-19346	72	19	linear	linear	PROPN
ajst-19346	72	20	q	q	PROPN
ajst-19346	73	1	k	k	PROPN
ajst-19346	73	2	v	v	NUM
ajst-19346	73	3	figure	figure	NOUN
ajst-19346	73	4	3	3	NUM
ajst-19346	73	5	.	.	PUNCT
ajst-19346	73	6	multi	multi	ADJ
ajst-19346	73	7	-	-	ADJ
ajst-19346	73	8	head	head	ADJ
ajst-19346	73	9	diagonal	diagonal	ADJ
ajst-19346	73	10	-	-	PUNCT
ajst-19346	73	11	masked	mask	VERB
ajst-19346	73	12	self	self	NOUN
ajst-19346	73	13	-	-	PUNCT
ajst-19346	73	14	attention	attention	NOUN
ajst-19346	73	15	mechanism	mechanism	NOUN
ajst-19346	73	16	the	the	DET
ajst-19346	73	17	multi	multi	ADJ
ajst-19346	73	18	-	-	ADJ
ajst-19346	73	19	head	head	ADJ
ajst-19346	73	20	attention	attention	NOUN
ajst-19346	73	21	mechanism	mechanism	NOUN
ajst-19346	73	22	first	first	ADV
ajst-19346	73	23	maps	map	VERB
ajst-19346	73	24	the	the	DET
ajst-19346	73	25	input	input	NOUN
ajst-19346	73	26	vector	vector	NOUN
ajst-19346	73	27	to	to	ADP
ajst-19346	73	28	multiple	multiple	ADJ
ajst-19346	73	29	sets	set	NOUN
ajst-19346	73	30	of	of	ADP
ajst-19346	73	31	queries	query	NOUN
ajst-19346	73	32	,	,	PUNCT
ajst-19346	73	33	keys	key	NOUN
ajst-19346	73	34	,	,	PUNCT
ajst-19346	73	35	and	and	CCONJ
ajst-19346	73	36	values	value	VERB
ajst-19346	73	37	vectors	vector	NOUN
ajst-19346	73	38	through	through	ADP
ajst-19346	73	39	different	different	ADJ
ajst-19346	73	40	linear	linear	ADJ
ajst-19346	73	41	transformations	transformation	NOUN
ajst-19346	73	42	,	,	PUNCT
ajst-19346	73	43	with	with	ADP
ajst-19346	73	44	each	each	DET
ajst-19346	73	45	mapping	mapping	NOUN
ajst-19346	73	46	corresponding	correspond	VERB
ajst-19346	73	47	to	to	ADP
ajst-19346	73	48	an	an	DET
ajst-19346	73	49	attention	attention	NOUN
ajst-19346	73	50	"	"	PUNCT
ajst-19346	73	51	head	head	NOUN
ajst-19346	73	52	"	"	PUNCT
ajst-19346	73	53	.	.	PUNCT
ajst-19346	74	1	as	as	SCONJ
ajst-19346	74	2	each	each	DET
ajst-19346	74	3	head	head	NOUN
ajst-19346	74	4	has	have	VERB
ajst-19346	74	5	a	a	DET
ajst-19346	74	6	different	different	ADJ
ajst-19346	74	7	attention	attention	NOUN
ajst-19346	74	8	distribution	distribution	NOUN
ajst-19346	74	9	,	,	PUNCT
ajst-19346	74	10	the	the	DET
ajst-19346	74	11	model	model	NOUN
ajst-19346	74	12	can	can	AUX
ajst-19346	74	13	flexibly	flexibly	ADV
ajst-19346	74	14	focus	focus	VERB
ajst-19346	74	15	on	on	ADP
ajst-19346	74	16	different	different	ADJ
ajst-19346	74	17	parts	part	NOUN
ajst-19346	74	18	of	of	ADP
ajst-19346	74	19	the	the	DET
ajst-19346	74	20	input	input	NOUN
ajst-19346	74	21	data	datum	NOUN
ajst-19346	74	22	,	,	PUNCT
ajst-19346	74	23	which	which	PRON
ajst-19346	74	24	is	be	AUX
ajst-19346	74	25	particularly	particularly	ADV
ajst-19346	74	26	valuable	valuable	ADJ
ajst-19346	74	27	when	when	SCONJ
ajst-19346	74	28	handling	handle	VERB
ajst-19346	74	29	complex	complex	ADJ
ajst-19346	74	30	dependencies	dependency	NOUN
ajst-19346	74	31	.	.	PUNCT
ajst-19346	75	1	in	in	ADP
ajst-19346	75	2	this	this	DET
ajst-19346	75	3	paper	paper	NOUN
ajst-19346	75	4	,	,	PUNCT
ajst-19346	75	5	we	we	PRON
ajst-19346	75	6	utilize	utilize	VERB
ajst-19346	75	7	the	the	DET
ajst-19346	75	8	multi	multi	ADJ
ajst-19346	75	9	-	-	ADJ
ajst-19346	75	10	head	head	ADJ
ajst-19346	75	11	diagonal	diagonal	ADJ
ajst-19346	75	12	-	-	PUNCT
ajst-19346	75	13	masked	mask	VERB
ajst-19346	75	14	self	self	NOUN
ajst-19346	75	15	-	-	PUNCT
ajst-19346	75	16	attention	attention	NOUN
ajst-19346	75	17	mechanism	mechanism	NOUN
ajst-19346	75	18	(	(	PUNCT
ajst-19346	75	19	mhdmsa	mhdmsa	NOUN
ajst-19346	75	20	)	)	PUNCT
ajst-19346	75	21	,	,	PUNCT
ajst-19346	75	22	as	as	SCONJ
ajst-19346	75	23	shown	show	VERB
ajst-19346	75	24	in	in	ADP
ajst-19346	75	25	figure	figure	NOUN
ajst-19346	75	26	3	3	NUM
ajst-19346	75	27	.	.	NOUN
ajst-19346	75	28	2.3	2.3	NUM
ajst-19346	75	29	.	.	PUNCT
ajst-19346	75	30	bidmsa	bidmsa	NOUN
ajst-19346	75	31	-	-	PUNCT
ajst-19346	75	32	dwi	dwi	PROPN
ajst-19346	75	33	to	to	PART
ajst-19346	75	34	solve	solve	VERB
ajst-19346	75	35	the	the	DET
ajst-19346	75	36	problem	problem	NOUN
ajst-19346	75	37	of	of	ADP
ajst-19346	75	38	missing	miss	VERB
ajst-19346	75	39	physiological	physiological	ADJ
ajst-19346	75	40	data	datum	NOUN
ajst-19346	75	41	during	during	ADP
ajst-19346	75	42	surgery	surgery	NOUN
ajst-19346	75	43	,	,	PUNCT
ajst-19346	75	44	this	this	DET
ajst-19346	75	45	paper	paper	NOUN
ajst-19346	75	46	has	have	AUX
ajst-19346	75	47	developed	develop	VERB
ajst-19346	75	48	a	a	DET
ajst-19346	75	49	bi	bi	ADJ
ajst-19346	75	50	-	-	ADJ
ajst-19346	75	51	diagonal	diagonal	ADJ
ajst-19346	75	52	-	-	PUNCT
ajst-19346	75	53	masked	mask	VERB
ajst-19346	75	54	selfattention	selfattention	NOUN
ajst-19346	75	55	dynamic	dynamic	ADJ
ajst-19346	75	56	weight	weight	NOUN
ajst-19346	75	57	imputation	imputation	NOUN
ajst-19346	75	58	model	model	NOUN
ajst-19346	75	59	(	(	PUNCT
ajst-19346	75	60	bidmsadwi	bidmsadwi	PROPN
ajst-19346	75	61	)	)	PUNCT
ajst-19346	75	62	,	,	PUNCT
ajst-19346	75	63	which	which	PRON
ajst-19346	75	64	aims	aim	VERB
ajst-19346	75	65	to	to	PART
ajst-19346	75	66	make	make	VERB
ajst-19346	75	67	full	full	ADJ
ajst-19346	75	68	use	use	NOUN
ajst-19346	75	69	of	of	ADP
ajst-19346	75	70	the	the	DET
ajst-19346	75	71	interrelations	interrelation	NOUN
ajst-19346	75	72	among	among	ADP
ajst-19346	75	73	physiological	physiological	ADJ
ajst-19346	75	74	indicator	indicator	NOUN
ajst-19346	75	75	data	datum	NOUN
ajst-19346	75	76	to	to	PART
ajst-19346	75	77	enhance	enhance	VERB
ajst-19346	75	78	imputation	imputation	NOUN
ajst-19346	75	79	accuracy	accuracy	NOUN
ajst-19346	75	80	.	.	PUNCT
ajst-19346	76	1	the	the	DET
ajst-19346	76	2	structure	structure	NOUN
ajst-19346	76	3	of	of	ADP
ajst-19346	76	4	the	the	DET
ajst-19346	76	5	model	model	NOUN
ajst-19346	76	6	is	be	AUX
ajst-19346	76	7	illustrated	illustrate	VERB
ajst-19346	76	8	in	in	ADP
ajst-19346	76	9	figure	figure	NOUN
ajst-19346	76	10	4	4	NUM
ajst-19346	76	11	.	.	PUNCT
ajst-19346	77	1	the	the	DET
ajst-19346	77	2	bidmsa	bidmsa	PROPN
ajst-19346	77	3	-	-	PUNCT
ajst-19346	77	4	dwi	dwi	PROPN
ajst-19346	77	5	is	be	AUX
ajst-19346	77	6	primarily	primarily	ADV
ajst-19346	77	7	composed	compose	VERB
ajst-19346	77	8	of	of	ADP
ajst-19346	77	9	three	three	NUM
ajst-19346	77	10	parts	part	NOUN
ajst-19346	77	11	:	:	PUNCT
ajst-19346	77	12	the	the	DET
ajst-19346	77	13	first	first	ADJ
ajst-19346	77	14	dmsa	dmsa	NOUN
ajst-19346	77	15	module	module	NOUN
ajst-19346	77	16	,	,	PUNCT
ajst-19346	77	17	the	the	DET
ajst-19346	77	18	second	second	ADJ
ajst-19346	77	19	dmsa	dmsa	NOUN
ajst-19346	77	20	module	module	NOUN
ajst-19346	77	21	,	,	PUNCT
ajst-19346	77	22	and	and	CCONJ
ajst-19346	77	23	the	the	DET
ajst-19346	77	24	dynamic	dynamic	ADJ
ajst-19346	77	25	weighting	weighting	NOUN
ajst-19346	77	26	module	module	NOUN
ajst-19346	77	27	.	.	PUNCT
ajst-19346	78	1	the	the	DET
ajst-19346	78	2	actual	actual	ADJ
ajst-19346	78	3	input	input	NOUN
ajst-19346	78	4	feature	feature	NOUN
ajst-19346	78	5	vector	vector	NOUN
ajst-19346	78	6	is	be	AUX
ajst-19346	78	7	concatenated	concatenate	VERB
ajst-19346	78	8	with	with	ADP
ajst-19346	78	9	a	a	DET
ajst-19346	78	10	mask	mask	NOUN
ajst-19346	78	11	vector	vector	NOUN
ajst-19346	78	12	that	that	PRON
ajst-19346	78	13	represents	represent	VERB
ajst-19346	78	14	the	the	DET
ajst-19346	78	15	missing	miss	VERB
ajst-19346	78	16	data	datum	NOUN
ajst-19346	78	17	situation	situation	NOUN
ajst-19346	78	18	.	.	PUNCT
ajst-19346	79	1	this	this	DET
ajst-19346	79	2	combined	combined	ADJ
ajst-19346	79	3	vector	vector	NOUN
ajst-19346	79	4	is	be	AUX
ajst-19346	79	5	then	then	ADV
ajst-19346	79	6	fed	feed	VERB
ajst-19346	79	7	into	into	ADP
ajst-19346	79	8	the	the	DET
ajst-19346	79	9	model	model	NOUN
ajst-19346	79	10	and	and	CCONJ
ajst-19346	79	11	through	through	ADP
ajst-19346	79	12	the	the	DET
ajst-19346	79	13	first	first	ADJ
ajst-19346	79	14	dmsa	dmsa	NOUN
ajst-19346	79	15	block	block	NOUN
ajst-19346	79	16	,	,	PUNCT
ajst-19346	79	17	it	it	PRON
ajst-19346	79	18	obtains	obtain	VERB
ajst-19346	79	19	the	the	DET
ajst-19346	79	20	first	first	ADJ
ajst-19346	79	21	learned	learn	VERB
ajst-19346	79	22	representation	representation	NOUN
ajst-19346	79	23	and	and	CCONJ
ajst-19346	79	24	imputed	impute	VERB
ajst-19346	79	25	data	datum	NOUN
ajst-19346	79	26	.	.	PUNCT
ajst-19346	80	1	next	next	ADV
ajst-19346	80	2	,	,	PUNCT
ajst-19346	80	3	the	the	DET
ajst-19346	80	4	imputed	impute	VERB
ajst-19346	80	5	data	data	NOUN
ajst-19346	80	6	is	be	AUX
ajst-19346	80	7	concatenated	concatenate	VERB
ajst-19346	80	8	with	with	ADP
ajst-19346	80	9	the	the	DET
ajst-19346	80	10	mask	mask	NOUN
ajst-19346	80	11	vector	vector	NOUN
ajst-19346	80	12	and	and	CCONJ
ajst-19346	80	13	this	this	DET
ajst-19346	80	14	combined	combine	VERB
ajst-19346	80	15	vector	vector	NOUN
ajst-19346	80	16	is	be	AUX
ajst-19346	80	17	fed	feed	VERB
ajst-19346	80	18	into	into	ADP
ajst-19346	80	19	the	the	DET
ajst-19346	80	20	model	model	NOUN
ajst-19346	80	21	again	again	ADV
ajst-19346	80	22	,	,	PUNCT
ajst-19346	80	23	passing	pass	VERB
ajst-19346	80	24	through	through	ADP
ajst-19346	80	25	the	the	DET
ajst-19346	80	26	second	second	ADJ
ajst-19346	80	27	dmsa	dmsa	NOUN
ajst-19346	80	28	block	block	NOUN
ajst-19346	80	29	to	to	PART
ajst-19346	80	30	obtain	obtain	VERB
ajst-19346	80	31	the	the	DET
ajst-19346	80	32	second	second	ADJ
ajst-19346	80	33	learned	learn	VERB
ajst-19346	80	34	representation	representation	NOUN
ajst-19346	80	35	.	.	PUNCT
ajst-19346	81	1	using	use	VERB
ajst-19346	81	2	the	the	DET
ajst-19346	81	3	output	output	NOUN
ajst-19346	81	4	weights	weight	NOUN
ajst-19346	81	5	from	from	ADP
ajst-19346	81	6	both	both	CCONJ
ajst-19346	81	7	the	the	DET
ajst-19346	81	8	first	first	ADJ
ajst-19346	81	9	and	and	CCONJ
ajst-19346	81	10	second	second	ADJ
ajst-19346	81	11	dmsa	dmsa	NOUN
ajst-19346	81	12	blocks	block	NOUN
ajst-19346	81	13	,	,	PUNCT
ajst-19346	81	14	concatenated	concatenate	VERB
ajst-19346	81	15	with	with	ADP
ajst-19346	81	16	the	the	DET
ajst-19346	81	17	mask	mask	NOUN
ajst-19346	81	18	vector	vector	NOUN
ajst-19346	81	19	,	,	PUNCT
ajst-19346	81	20	a	a	DET
ajst-19346	81	21	combined	combine	VERB
ajst-19346	81	22	weight	weight	NOUN
ajst-19346	81	23	is	be	AUX
ajst-19346	81	24	obtained	obtain	VERB
ajst-19346	81	25	.	.	PUNCT
ajst-19346	82	1	this	this	DET
ajst-19346	82	2	weight	weight	NOUN
ajst-19346	82	3	is	be	AUX
ajst-19346	82	4	then	then	ADV
ajst-19346	82	5	used	use	VERB
ajst-19346	82	6	to	to	PART
ajst-19346	82	7	merge	merge	VERB
ajst-19346	82	8	the	the	DET
ajst-19346	82	9	first	first	ADJ
ajst-19346	82	10	and	and	CCONJ
ajst-19346	82	11	second	second	ADV
ajst-19346	82	12	learned	learn	VERB
ajst-19346	82	13	representations	representation	NOUN
ajst-19346	82	14	to	to	PART
ajst-19346	82	15	obtain	obtain	VERB
ajst-19346	82	16	a	a	DET
ajst-19346	82	17	third	third	ADJ
ajst-19346	82	18	learned	learn	VERB
ajst-19346	82	19	representation	representation	NOUN
ajst-19346	82	20	,	,	PUNCT
ajst-19346	82	21	ultimately	ultimately	ADV
ajst-19346	82	22	resulting	result	VERB
ajst-19346	82	23	in	in	ADP
ajst-19346	82	24	the	the	DET
ajst-19346	82	25	imputed	impute	VERB
ajst-19346	82	26	data	datum	NOUN
ajst-19346	82	27	.	.	PUNCT
ajst-19346	83	1	1st	1st	ADJ
ajst-19346	83	2	dmsa	dmsa	NOUN
ajst-19346	83	3	block	block	NOUN
ajst-19346	83	4	weighted	weighted	AUX
ajst-19346	83	5	combine	combine	VERB
ajst-19346	83	6	feature	feature	NOUN
ajst-19346	83	7	vector	vector	NOUN
ajst-19346	83	8	missing	miss	VERB
ajst-19346	83	9	masks	mask	NOUN
ajst-19346	83	10	2nd	2nd	ADJ
ajst-19346	83	11	dmsa	dmsa	NOUN
ajst-19346	83	12	block	block	NOUN
ajst-19346	83	13	learning	learn	VERB
ajst-19346	83	14	representation	representation	NOUN
ajst-19346	83	15	1	1	NUM
ajst-19346	83	16	replace	replace	NOUN
ajst-19346	83	17	imputed	impute	VERB
ajst-19346	83	18	data	datum	NOUN
ajst-19346	83	19	learning	learning	NOUN
ajst-19346	83	20	representation	representation	NOUN
ajst-19346	83	21	2	2	NUM
ajst-19346	83	22	learning	learning	NOUN
ajst-19346	83	23	representation	representation	NOUN
ajst-19346	83	24	3	3	NUM
ajst-19346	83	25	imputed	impute	VERB
ajst-19346	83	26	data	datum	NOUN
ajst-19346	83	27	mhdmsa	mhdmsa	NOUN
ajst-19346	83	28	add&norm	add&norm	PROPN
ajst-19346	83	29	feed	feed	VERB
ajst-19346	83	30	forward	forward	ADV
ajst-19346	83	31	add&norm	add&norm	PROPN
ajst-19346	83	32	figure	figure	NOUN
ajst-19346	83	33	4	4	NUM
ajst-19346	83	34	.	.	PUNCT
ajst-19346	84	1	bi	bi	ADJ
ajst-19346	84	2	-	-	ADJ
ajst-19346	84	3	diagonal	diagonal	ADJ
ajst-19346	84	4	-	-	PUNCT
ajst-19346	84	5	masked	mask	VERB
ajst-19346	84	6	self	self	NOUN
ajst-19346	84	7	-	-	PUNCT
ajst-19346	84	8	attention	attention	NOUN
ajst-19346	84	9	dynamic	dynamic	ADJ
ajst-19346	84	10	weight	weight	NOUN
ajst-19346	84	11	imputation	imputation	NOUN
ajst-19346	84	12	model	model	NOUN
ajst-19346	84	13	3	3	NUM
ajst-19346	84	14	.	.	PUNCT
ajst-19346	84	15	experiment	experiment	NOUN
ajst-19346	84	16	3.1	3.1	NUM
ajst-19346	84	17	.	.	PUNCT
ajst-19346	85	1	dataset	dataset	VERB
ajst-19346	85	2	the	the	DET
ajst-19346	85	3	physiological	physiological	ADJ
ajst-19346	85	4	monitoring	monitoring	NOUN
ajst-19346	85	5	data	datum	NOUN
ajst-19346	85	6	used	use	VERB
ajst-19346	85	7	in	in	ADP
ajst-19346	85	8	this	this	DET
ajst-19346	85	9	study	study	NOUN
ajst-19346	85	10	were	be	AUX
ajst-19346	85	11	all	all	PRON
ajst-19346	85	12	sourced	source	VERB
ajst-19346	85	13	from	from	ADP
ajst-19346	85	14	a	a	DET
ajst-19346	85	15	tertiary	tertiary	ADJ
ajst-19346	85	16	hospital	hospital	NOUN
ajst-19346	85	17	in	in	ADP
ajst-19346	85	18	chengdu	chengdu	PROPN
ajst-19346	85	19	,	,	PUNCT
ajst-19346	85	20	and	and	CCONJ
ajst-19346	85	21	all	all	DET
ajst-19346	85	22	materials	material	NOUN
ajst-19346	85	23	have	have	AUX
ajst-19346	85	24	been	be	AUX
ajst-19346	85	25	anonymized	anonymize	VERB
ajst-19346	85	26	to	to	PART
ajst-19346	85	27	ensure	ensure	VERB
ajst-19346	85	28	patient	patient	ADJ
ajst-19346	85	29	privacy	privacy	NOUN
ajst-19346	85	30	and	and	CCONJ
ajst-19346	85	31	security	security	NOUN
ajst-19346	85	32	.	.	PUNCT
ajst-19346	86	1	data	datum	NOUN
ajst-19346	86	2	from	from	ADP
ajst-19346	86	3	april	april	PROPN
ajst-19346	86	4	to	to	ADP
ajst-19346	86	5	may	may	PROPN
ajst-19346	86	6	2022	2022	NUM
ajst-19346	86	7	was	be	AUX
ajst-19346	86	8	used	use	VERB
ajst-19346	86	9	as	as	ADP
ajst-19346	86	10	the	the	DET
ajst-19346	86	11	training	training	NOUN
ajst-19346	86	12	and	and	CCONJ
ajst-19346	86	13	test	test	NOUN
ajst-19346	86	14	sets	set	NOUN
ajst-19346	86	15	.	.	PUNCT
ajst-19346	87	1	the	the	DET
ajst-19346	87	2	dataset	dataset	NOUN
ajst-19346	87	3	was	be	AUX
ajst-19346	87	4	segmented	segment	VERB
ajst-19346	87	5	using	use	VERB
ajst-19346	87	6	a	a	DET
ajst-19346	87	7	sliding	slide	VERB
ajst-19346	87	8	window	window	NOUN
ajst-19346	87	9	method	method	NOUN
ajst-19346	87	10	,	,	PUNCT
ajst-19346	87	11	with	with	ADP
ajst-19346	87	12	each	each	DET
ajst-19346	87	13	window	window	NOUN
ajst-19346	87	14	covering	cover	VERB
ajst-19346	87	15	a	a	DET
ajst-19346	87	16	20minute	20minute	NUM
ajst-19346	87	17	span	span	NOUN
ajst-19346	87	18	and	and	CCONJ
ajst-19346	87	19	a	a	DET
ajst-19346	87	20	step	step	NOUN
ajst-19346	87	21	interval	interval	NOUN
ajst-19346	87	22	of	of	ADP
ajst-19346	87	23	one	one	NUM
ajst-19346	87	24	minute	minute	NOUN
ajst-19346	87	25	.	.	PUNCT
ajst-19346	88	1	out	out	ADP
ajst-19346	88	2	of	of	ADP
ajst-19346	88	3	77	77	NUM
ajst-19346	88	4	detected	detect	VERB
ajst-19346	88	5	physiological	physiological	ADJ
ajst-19346	88	6	indicators	indicator	NOUN
ajst-19346	88	7	,	,	PUNCT
ajst-19346	88	8	we	we	PRON
ajst-19346	88	9	selected	select	VERB
ajst-19346	88	10	11	11	NUM
ajst-19346	88	11	of	of	ADP
ajst-19346	88	12	the	the	DET
ajst-19346	88	13	most	most	ADV
ajst-19346	88	14	widely	widely	ADV
ajst-19346	88	15	applied	apply	VERB
ajst-19346	88	16	indicators	indicator	NOUN
ajst-19346	88	17	for	for	ADP
ajst-19346	88	18	our	our	PRON
ajst-19346	88	19	research	research	NOUN
ajst-19346	88	20	,	,	PUNCT
ajst-19346	88	21	and	and	CCONJ
ajst-19346	88	22	set	set	VERB
ajst-19346	88	23	corresponding	correspond	VERB
ajst-19346	88	24	thresholds	threshold	NOUN
ajst-19346	88	25	for	for	ADP
ajst-19346	88	26	these	these	DET
ajst-19346	88	27	indicators	indicator	NOUN
ajst-19346	88	28	,	,	PUNCT
ajst-19346	88	29	as	as	SCONJ
ajst-19346	88	30	shown	show	VERB
ajst-19346	88	31	in	in	ADP
ajst-19346	88	32	table	table	NOUN
ajst-19346	88	33	1	1	NUM
ajst-19346	88	34	.	.	PUNCT
ajst-19346	89	1	the	the	DET
ajst-19346	89	2	threshold	threshold	NOUN
ajst-19346	89	3	is	be	AUX
ajst-19346	89	4	set	set	VERB
ajst-19346	89	5	lower	low	ADJ
ajst-19346	89	6	because	because	SCONJ
ajst-19346	89	7	anesthetic	anesthetic	ADJ
ajst-19346	89	8	drugs	drug	NOUN
ajst-19346	89	9	470	470	NUM
ajst-19346	89	10	themselves	themselves	PRON
ajst-19346	89	11	can	can	AUX
ajst-19346	89	12	affect	affect	VERB
ajst-19346	89	13	physiological	physiological	ADJ
ajst-19346	89	14	indicators	indicator	NOUN
ajst-19346	89	15	,	,	PUNCT
ajst-19346	89	16	and	and	CCONJ
ajst-19346	89	17	each	each	DET
ajst-19346	89	18	patient	patient	NOUN
ajst-19346	89	19	's	's	PART
ajst-19346	89	20	condition	condition	NOUN
ajst-19346	89	21	is	be	AUX
ajst-19346	89	22	unique	unique	ADJ
ajst-19346	89	23	,	,	PUNCT
ajst-19346	89	24	thus	thus	ADV
ajst-19346	89	25	making	make	VERB
ajst-19346	89	26	the	the	DET
ajst-19346	89	27	threshold	threshold	NOUN
ajst-19346	89	28	settings	setting	VERB
ajst-19346	89	29	more	more	ADV
ajst-19346	89	30	universally	universally	ADV
ajst-19346	89	31	applicable	applicable	ADJ
ajst-19346	89	32	.	.	PUNCT
ajst-19346	90	1	the	the	DET
ajst-19346	90	2	normal	normal	ADJ
ajst-19346	90	3	minimum	minimum	ADJ
ajst-19346	90	4	heart	heart	NOUN
ajst-19346	90	5	rate	rate	NOUN
ajst-19346	90	6	and	and	CCONJ
ajst-19346	90	7	pulse	pulse	NOUN
ajst-19346	90	8	are	be	AUX
ajst-19346	90	9	60	60	NUM
ajst-19346	90	10	,	,	PUNCT
ajst-19346	90	11	but	but	CCONJ
ajst-19346	90	12	it	it	PRON
ajst-19346	90	13	may	may	AUX
ajst-19346	90	14	be	be	AUX
ajst-19346	90	15	lower	low	ADJ
ajst-19346	90	16	in	in	ADP
ajst-19346	90	17	athletes	athlete	NOUN
ajst-19346	90	18	.	.	PUNCT
ajst-19346	91	1	therefore	therefore	ADV
ajst-19346	91	2	,	,	PUNCT
ajst-19346	91	3	the	the	DET
ajst-19346	91	4	threshold	threshold	NOUN
ajst-19346	91	5	for	for	ADP
ajst-19346	91	6	heart	heart	NOUN
ajst-19346	91	7	rate	rate	NOUN
ajst-19346	91	8	and	and	CCONJ
ajst-19346	91	9	pulse	pulse	NOUN
ajst-19346	91	10	is	be	AUX
ajst-19346	91	11	set	set	VERB
ajst-19346	91	12	at	at	ADP
ajst-19346	91	13	37	37	NUM
ajst-19346	91	14	.	.	PUNCT
ajst-19346	92	1	during	during	ADP
ajst-19346	92	2	surgery	surgery	NOUN
ajst-19346	92	3	,	,	PUNCT
ajst-19346	92	4	due	due	ADP
ajst-19346	92	5	to	to	ADP
ajst-19346	92	6	blood	blood	NOUN
ajst-19346	92	7	loss	loss	NOUN
ajst-19346	92	8	,	,	PUNCT
ajst-19346	92	9	a	a	DET
ajst-19346	92	10	patient	patient	NOUN
ajst-19346	92	11	's	's	PART
ajst-19346	92	12	blood	blood	NOUN
ajst-19346	92	13	pressure	pressure	NOUN
ajst-19346	92	14	is	be	AUX
ajst-19346	92	15	indeed	indeed	ADV
ajst-19346	92	16	lower	low	ADJ
ajst-19346	92	17	than	than	ADP
ajst-19346	92	18	that	that	PRON
ajst-19346	92	19	of	of	ADP
ajst-19346	92	20	a	a	DET
ajst-19346	92	21	healthy	healthy	ADJ
ajst-19346	92	22	individual	individual	NOUN
ajst-19346	92	23	,	,	PUNCT
ajst-19346	92	24	hence	hence	ADV
ajst-19346	92	25	the	the	DET
ajst-19346	92	26	thresholds	threshold	NOUN
ajst-19346	92	27	for	for	ADP
ajst-19346	92	28	diastolic	diastolic	ADJ
ajst-19346	92	29	pressure	pressure	NOUN
ajst-19346	92	30	,	,	PUNCT
ajst-19346	92	31	systolic	systolic	ADJ
ajst-19346	92	32	pressure	pressure	NOUN
ajst-19346	92	33	,	,	PUNCT
ajst-19346	92	34	and	and	CCONJ
ajst-19346	92	35	mean	mean	VERB
ajst-19346	92	36	arterial	arterial	ADJ
ajst-19346	92	37	pressure	pressure	NOUN
ajst-19346	92	38	are	be	AUX
ajst-19346	92	39	set	set	VERB
ajst-19346	92	40	at	at	ADP
ajst-19346	92	41	45	45	NUM
ajst-19346	92	42	,	,	PUNCT
ajst-19346	92	43	25	25	NUM
ajst-19346	92	44	,	,	PUNCT
ajst-19346	92	45	and	and	CCONJ
ajst-19346	92	46	30	30	NUM
ajst-19346	92	47	,	,	PUNCT
ajst-19346	92	48	respectively	respectively	ADV
ajst-19346	92	49	.	.	PUNCT
ajst-19346	93	1	the	the	DET
ajst-19346	93	2	thresholds	threshold	NOUN
ajst-19346	93	3	for	for	ADP
ajst-19346	93	4	oxygen	oxygen	NOUN
ajst-19346	93	5	saturation	saturation	NOUN
ajst-19346	93	6	and	and	CCONJ
ajst-19346	93	7	perfusion	perfusion	NOUN
ajst-19346	93	8	index	index	NOUN
ajst-19346	93	9	are	be	AUX
ajst-19346	93	10	set	set	VERB
ajst-19346	93	11	at	at	ADP
ajst-19346	93	12	73	73	NUM
ajst-19346	93	13	and	and	CCONJ
ajst-19346	93	14	0.01	0.01	NUM
ajst-19346	93	15	,	,	PUNCT
ajst-19346	93	16	which	which	PRON
ajst-19346	93	17	are	be	AUX
ajst-19346	93	18	already	already	ADV
ajst-19346	93	19	far	far	ADV
ajst-19346	93	20	below	below	ADP
ajst-19346	93	21	the	the	DET
ajst-19346	93	22	safe	safe	ADJ
ajst-19346	93	23	lower	low	ADJ
ajst-19346	93	24	limit	limit	NOUN
ajst-19346	93	25	.	.	PUNCT
ajst-19346	94	1	the	the	DET
ajst-19346	94	2	fraction	fraction	NOUN
ajst-19346	94	3	of	of	ADP
ajst-19346	94	4	inspired	inspire	VERB
ajst-19346	94	5	oxygen	oxygen	NOUN
ajst-19346	94	6	threshold	threshold	NOUN
ajst-19346	94	7	of	of	ADP
ajst-19346	94	8	20	20	NUM
ajst-19346	94	9	is	be	AUX
ajst-19346	94	10	below	below	ADP
ajst-19346	94	11	the	the	DET
ajst-19346	94	12	oxygen	oxygen	NOUN
ajst-19346	94	13	level	level	NOUN
ajst-19346	94	14	in	in	ADP
ajst-19346	94	15	ambient	ambient	ADJ
ajst-19346	94	16	air	air	NOUN
ajst-19346	94	17	.	.	PUNCT
ajst-19346	95	1	end	end	NOUN
ajst-19346	95	2	-	-	PUNCT
ajst-19346	95	3	tidal	tidal	ADJ
ajst-19346	95	4	carbon	carbon	NOUN
ajst-19346	95	5	dioxide	dioxide	NOUN
ajst-19346	95	6	,	,	PUNCT
ajst-19346	95	7	end	end	NOUN
ajst-19346	95	8	-	-	PUNCT
ajst-19346	95	9	tidal	tidal	ADJ
ajst-19346	95	10	oxygen	oxygen	NOUN
ajst-19346	95	11	,	,	PUNCT
ajst-19346	95	12	and	and	CCONJ
ajst-19346	95	13	the	the	DET
ajst-19346	95	14	respiratory	respiratory	ADJ
ajst-19346	95	15	rate	rate	NOUN
ajst-19346	95	16	carbon	carbon	NOUN
ajst-19346	95	17	dioxide	dioxide	NOUN
ajst-19346	95	18	reaching	reach	VERB
ajst-19346	95	19	13	13	NUM
ajst-19346	95	20	,	,	PUNCT
ajst-19346	95	21	10	10	NUM
ajst-19346	95	22	,	,	PUNCT
ajst-19346	95	23	and	and	CCONJ
ajst-19346	95	24	1	1	NUM
ajst-19346	95	25	indicate	indicate	VERB
ajst-19346	95	26	that	that	SCONJ
ajst-19346	95	27	the	the	DET
ajst-19346	95	28	patient	patient	NOUN
ajst-19346	95	29	may	may	AUX
ajst-19346	95	30	be	be	AUX
ajst-19346	95	31	experiencing	experience	VERB
ajst-19346	95	32	cardiac	cardiac	ADJ
ajst-19346	95	33	arrest	arrest	NOUN
ajst-19346	95	34	,	,	PUNCT
ajst-19346	95	35	so	so	CCONJ
ajst-19346	95	36	the	the	DET
ajst-19346	95	37	threshold	threshold	NOUN
ajst-19346	95	38	is	be	AUX
ajst-19346	95	39	set	set	VERB
ajst-19346	95	40	at	at	ADP
ajst-19346	95	41	these	these	DET
ajst-19346	95	42	values	value	NOUN
ajst-19346	95	43	.	.	PUNCT
ajst-19346	96	1	table	table	NOUN
ajst-19346	96	2	1	1	NUM
ajst-19346	96	3	.	.	PUNCT
ajst-19346	96	4	physiological	physiological	ADJ
ajst-19346	96	5	indicator	indicator	NOUN
ajst-19346	96	6	thresholds	threshold	VERB
ajst-19346	96	7	abbreviation	abbreviation	NOUN
ajst-19346	96	8	full	full	ADJ
ajst-19346	96	9	name	name	NOUN
ajst-19346	96	10	threshold	threshold	NOUN
ajst-19346	96	11	hr	hr	NOUN
ajst-19346	96	12	heart	heart	NOUN
ajst-19346	96	13	rate	rate	NOUN
ajst-19346	96	14	37	37	NUM
ajst-19346	96	15	pr	pr	NOUN
ajst-19346	96	16	pulse	pulse	NOUN
ajst-19346	96	17	rate	rate	NOUN
ajst-19346	96	18	37	37	NUM
ajst-19346	96	19	dbp	dbp	PROPN
ajst-19346	96	20	diastolic	diastolic	NOUN
ajst-19346	96	21	blood	blood	NOUN
ajst-19346	96	22	pressure	pressure	NOUN
ajst-19346	96	23	45	45	NUM
ajst-19346	96	24	sbp	sbp	NOUN
ajst-19346	96	25	systolic	systolic	ADJ
ajst-19346	96	26	blood	blood	NOUN
ajst-19346	96	27	pressure	pressure	NOUN
ajst-19346	96	28	25	25	NUM
ajst-19346	96	29	map	map	NOUN
ajst-19346	96	30	mean	mean	VERB
ajst-19346	96	31	arterial	arterial	ADJ
ajst-19346	96	32	pressure	pressure	NOUN
ajst-19346	96	33	30	30	NUM
ajst-19346	96	34	spo2	spo2	PROPN
ajst-19346	96	35	oxygen	oxygen	NOUN
ajst-19346	96	36	saturation	saturation	NOUN
ajst-19346	96	37	73	73	NUM
ajst-19346	96	38	pi	pi	NOUN
ajst-19346	96	39	perfusion	perfusion	NOUN
ajst-19346	96	40	index	index	NOUN
ajst-19346	96	41	0.01	0.01	NUM
ajst-19346	96	42	fio2	fio2	PROPN
ajst-19346	96	43	fraction	fraction	NOUN
ajst-19346	96	44	of	of	ADP
ajst-19346	96	45	inspired	inspire	VERB
ajst-19346	96	46	oxygen	oxygen	NOUN
ajst-19346	96	47	20	20	NUM
ajst-19346	96	48	etco2	etco2	ADJ
ajst-19346	96	49	end	end	NOUN
ajst-19346	96	50	-	-	PUNCT
ajst-19346	96	51	tidal	tidal	ADJ
ajst-19346	96	52	carbon	carbon	NOUN
ajst-19346	96	53	dioxide	dioxide	NOUN
ajst-19346	96	54	13	13	NUM
ajst-19346	96	55	eto2	eto2	PROPN
ajst-19346	96	56	end	end	NOUN
ajst-19346	96	57	-	-	PUNCT
ajst-19346	96	58	tidal	tidal	ADJ
ajst-19346	96	59	oxygen	oxygen	NOUN
ajst-19346	96	60	10	10	NUM
ajst-19346	96	61	rrco2	rrco2	ADJ
ajst-19346	96	62	respiratory	respiratory	ADJ
ajst-19346	96	63	rate	rate	NOUN
ajst-19346	96	64	carbon	carbon	NOUN
ajst-19346	96	65	dioxide	dioxide	NOUN
ajst-19346	96	66	1	1	NUM
ajst-19346	96	67	3.2	3.2	NUM
ajst-19346	96	68	.	.	PUNCT
ajst-19346	97	1	experimental	experimental	ADJ
ajst-19346	97	2	settings	setting	NOUN
ajst-19346	97	3	in	in	ADP
ajst-19346	97	4	the	the	DET
ajst-19346	97	5	deep	deep	ADJ
ajst-19346	97	6	learning	learning	NOUN
ajst-19346	97	7	model	model	NOUN
ajst-19346	97	8	,	,	PUNCT
ajst-19346	97	9	the	the	DET
ajst-19346	97	10	adam	adam	PROPN
ajst-19346	97	11	optimizer	optimizer	NOUN
ajst-19346	97	12	was	be	AUX
ajst-19346	97	13	employed	employ	VERB
ajst-19346	97	14	to	to	PART
ajst-19346	97	15	update	update	VERB
ajst-19346	97	16	the	the	DET
ajst-19346	97	17	parameters	parameter	NOUN
ajst-19346	97	18	,	,	PUNCT
ajst-19346	97	19	with	with	ADP
ajst-19346	97	20	the	the	DET
ajst-19346	97	21	initial	initial	ADJ
ajst-19346	97	22	learning	learning	NOUN
ajst-19346	97	23	rate	rate	NOUN
ajst-19346	97	24	set	set	VERB
ajst-19346	97	25	to	to	ADP
ajst-19346	97	26	0.0006	0.0006	NUM
ajst-19346	97	27	,	,	PUNCT
ajst-19346	97	28	batch	batch	NOUN
ajst-19346	97	29	size	size	NOUN
ajst-19346	97	30	set	set	VERB
ajst-19346	97	31	to	to	ADP
ajst-19346	97	32	16	16	NUM
ajst-19346	97	33	,	,	PUNCT
ajst-19346	97	34	and	and	CCONJ
ajst-19346	97	35	the	the	DET
ajst-19346	97	36	number	number	NOUN
ajst-19346	97	37	of	of	ADP
ajst-19346	97	38	iterations	iteration	NOUN
ajst-19346	97	39	set	set	VERB
ajst-19346	97	40	for	for	ADP
ajst-19346	97	41	500	500	NUM
ajst-19346	97	42	epochs	epoch	NOUN
ajst-19346	97	43	.	.	PUNCT
ajst-19346	98	1	an	an	DET
ajst-19346	98	2	early	early	ADJ
ajst-19346	98	3	stopping	stopping	NOUN
ajst-19346	98	4	mechanism	mechanism	NOUN
ajst-19346	98	5	was	be	AUX
ajst-19346	98	6	implemented	implement	VERB
ajst-19346	98	7	;	;	PUNCT
ajst-19346	98	8	it	it	PRON
ajst-19346	98	9	halts	halt	VERB
ajst-19346	98	10	training	training	NOUN
ajst-19346	98	11	if	if	SCONJ
ajst-19346	98	12	there	there	PRON
ajst-19346	98	13	is	be	VERB
ajst-19346	98	14	no	no	DET
ajst-19346	98	15	decrease	decrease	NOUN
ajst-19346	98	16	in	in	ADP
ajst-19346	98	17	the	the	DET
ajst-19346	98	18	loss	loss	NOUN
ajst-19346	98	19	value	value	NOUN
ajst-19346	98	20	of	of	ADP
ajst-19346	98	21	the	the	DET
ajst-19346	98	22	training	training	NOUN
ajst-19346	98	23	set	set	VERB
ajst-19346	98	24	within	within	ADP
ajst-19346	98	25	20	20	NUM
ajst-19346	98	26	epochs	epoch	NOUN
ajst-19346	98	27	.	.	PUNCT
ajst-19346	99	1	dropout	dropout	NOUN
ajst-19346	99	2	was	be	AUX
ajst-19346	99	3	used	use	VERB
ajst-19346	99	4	to	to	PART
ajst-19346	99	5	prevent	prevent	VERB
ajst-19346	99	6	overfitting	overfitting	NOUN
ajst-19346	99	7	,	,	PUNCT
ajst-19346	99	8	with	with	ADP
ajst-19346	99	9	a	a	DET
ajst-19346	99	10	dropout	dropout	NOUN
ajst-19346	99	11	probability	probability	NOUN
ajst-19346	99	12	value	value	NOUN
ajst-19346	99	13	of	of	ADP
ajst-19346	99	14	0.1	0.1	NUM
ajst-19346	99	15	.	.	PUNCT
ajst-19346	100	1	the	the	DET
ajst-19346	100	2	model	model	NOUN
ajst-19346	100	3	's	's	PART
ajst-19346	100	4	hidden	hidden	ADJ
ajst-19346	100	5	dimension	dimension	NOUN
ajst-19346	100	6	was	be	AUX
ajst-19346	100	7	256	256	NUM
ajst-19346	100	8	,	,	PUNCT
ajst-19346	100	9	the	the	DET
ajst-19346	100	10	hidden	hidden	ADJ
ajst-19346	100	11	size	size	NOUN
ajst-19346	100	12	of	of	ADP
ajst-19346	100	13	the	the	DET
ajst-19346	100	14	feedforward	feedforward	NOUN
ajst-19346	100	15	layer	layer	NOUN
ajst-19346	100	16	was	be	AUX
ajst-19346	100	17	512	512	NUM
ajst-19346	100	18	,	,	PUNCT
ajst-19346	100	19	the	the	DET
ajst-19346	100	20	number	number	NOUN
ajst-19346	100	21	of	of	ADP
ajst-19346	100	22	heads	head	NOUN
ajst-19346	100	23	in	in	ADP
ajst-19346	100	24	the	the	DET
ajst-19346	100	25	attention	attention	NOUN
ajst-19346	100	26	mechanism	mechanism	NOUN
ajst-19346	100	27	was	be	AUX
ajst-19346	100	28	8	8	NUM
ajst-19346	100	29	,	,	PUNCT
ajst-19346	100	30	and	and	CCONJ
ajst-19346	100	31	in	in	ADP
ajst-19346	100	32	the	the	DET
ajst-19346	100	33	attention	attention	NOUN
ajst-19346	100	34	mechanism	mechanism	NOUN
ajst-19346	100	35	,	,	PUNCT
ajst-19346	100	36	the	the	DET
ajst-19346	100	37	dimension	dimension	NOUN
ajst-19346	100	38	of	of	ADP
ajst-19346	100	39	each	each	DET
ajst-19346	100	40	head	head	NOUN
ajst-19346	100	41	's	's	PART
ajst-19346	100	42	key	key	ADJ
ajst-19346	100	43	and	and	CCONJ
ajst-19346	100	44	value	value	NOUN
ajst-19346	100	45	vectors	vector	NOUN
ajst-19346	100	46	was	be	AUX
ajst-19346	100	47	32	32	NUM
ajst-19346	100	48	.	.	PUNCT
ajst-19346	101	1	3.3	3.3	NUM
ajst-19346	101	2	.	.	PUNCT
ajst-19346	102	1	evaluation	evaluation	NOUN
ajst-19346	102	2	metrics	metric	NOUN
ajst-19346	102	3	in	in	ADP
ajst-19346	102	4	the	the	DET
ajst-19346	102	5	experiments	experiment	NOUN
ajst-19346	102	6	of	of	ADP
ajst-19346	102	7	this	this	DET
ajst-19346	102	8	chapter	chapter	NOUN
ajst-19346	102	9	,	,	PUNCT
ajst-19346	102	10	the	the	DET
ajst-19346	102	11	common	common	ADJ
ajst-19346	102	12	evaluation	evaluation	NOUN
ajst-19346	102	13	metrics	metric	NOUN
ajst-19346	102	14	for	for	ADP
ajst-19346	102	15	data	datum	NOUN
ajst-19346	102	16	imputation	imputation	NOUN
ajst-19346	102	17	tasks	task	NOUN
ajst-19346	102	18	are	be	AUX
ajst-19346	102	19	adopted	adopt	VERB
ajst-19346	102	20	:	:	PUNCT
ajst-19346	102	21	mean	mean	ADJ
ajst-19346	102	22	absolute	absolute	ADJ
ajst-19346	102	23	error	error	NOUN
ajst-19346	102	24	(	(	PUNCT
ajst-19346	102	25	mae	mae	PROPN
ajst-19346	102	26	)	)	PUNCT
ajst-19346	102	27	,	,	PUNCT
ajst-19346	102	28	root	root	NOUN
ajst-19346	102	29	mean	mean	VERB
ajst-19346	102	30	square	square	ADJ
ajst-19346	102	31	error	error	NOUN
ajst-19346	102	32	(	(	PUNCT
ajst-19346	102	33	rmse	rmse	NOUN
ajst-19346	102	34	)	)	PUNCT
ajst-19346	102	35	,	,	PUNCT
ajst-19346	102	36	and	and	CCONJ
ajst-19346	102	37	mean	mean	VERB
ajst-19346	102	38	relative	relative	ADJ
ajst-19346	102	39	error	error	NOUN
ajst-19346	102	40	(	(	PUNCT
ajst-19346	102	41	mre	mre	NOUN
ajst-19346	102	42	)	)	PUNCT
ajst-19346	102	43	.	.	PUNCT
ajst-19346	103	1	the	the	DET
ajst-19346	103	2	mathematical	mathematical	ADJ
ajst-19346	103	3	expressions	expression	NOUN
ajst-19346	103	4	for	for	ADP
ajst-19346	103	5	these	these	DET
ajst-19346	103	6	evaluation	evaluation	NOUN
ajst-19346	103	7	metrics	metric	NOUN
ajst-19346	103	8	are	be	AUX
ajst-19346	103	9	provided	provide	VERB
ajst-19346	103	10	below	below	ADV
ajst-19346	103	11	.	.	PUNCT
ajst-19346	104	1	it	it	PRON
ajst-19346	104	2	should	should	AUX
ajst-19346	104	3	be	be	AUX
ajst-19346	104	4	noted	note	VERB
ajst-19346	104	5	that	that	SCONJ
ajst-19346	104	6	the	the	DET
ajst-19346	104	7	calculation	calculation	NOUN
ajst-19346	104	8	of	of	ADP
ajst-19346	104	9	the	the	DET
ajst-19346	104	10	error	error	NOUN
ajst-19346	104	11	is	be	AUX
ajst-19346	104	12	based	base	VERB
ajst-19346	104	13	solely	solely	ADV
ajst-19346	104	14	on	on	ADP
ajst-19346	104	15	the	the	DET
ajst-19346	104	16	missing	miss	VERB
ajst-19346	104	17	values	value	NOUN
ajst-19346	104	18	specified	specify	VERB
ajst-19346	104	19	by	by	ADP
ajst-19346	104	20	the	the	DET
ajst-19346	104	21	corresponding	corresponding	ADJ
ajst-19346	104	22	mask	mask	NOUN
ajst-19346	104	23	in	in	ADP
ajst-19346	104	24	the	the	DET
ajst-19346	104	25	formula	formula	NOUN
ajst-19346	104	26	input	input	NOUN
ajst-19346	104	27	.	.	PUNCT
ajst-19346	105	1	the	the	DET
ajst-19346	105	2	calculation	calculation	NOUN
ajst-19346	105	3	formula	formula	NOUN
ajst-19346	105	4	is	be	AUX
ajst-19346	105	5	as	as	SCONJ
ajst-19346	105	6	follows	follow	VERB
ajst-19346	105	7	:	:	PUNCT
ajst-19346	105	8	mae	mae	PROPN
ajst-19346	105	9	∑	∑	PROPN
ajst-19346	105	10	∑	∑	PROPN
ajst-19346	105	11	|	|	ADV
ajst-19346	105	12	⊙	⊙	NOUN
ajst-19346	106	1	|	|	ADV
ajst-19346	106	2	∑	∑	PROPN
ajst-19346	106	3	∑	∑	PROPN
ajst-19346	106	4	(	(	PUNCT
ajst-19346	106	5	4	4	NUM
ajst-19346	106	6	)	)	PUNCT
ajst-19346	106	7	rmse	rmse	NOUN
ajst-19346	106	8	∑	∑	PROPN
ajst-19346	106	9	∑	∑	PROPN
ajst-19346	106	10	⊙	⊙	PROPN
ajst-19346	106	11	∑	∑	PROPN
ajst-19346	106	12	∑	∑	PROPN
ajst-19346	106	13	(	(	PUNCT
ajst-19346	106	14	5	5	NUM
ajst-19346	106	15	)	)	PUNCT
ajst-19346	106	16	mre	mre	NOUN
ajst-19346	106	17	∑	∑	PROPN
ajst-19346	106	18	∑	∑	PROPN
ajst-19346	106	19	|	|	ADV
ajst-19346	106	20	⊙	⊙	NOUN
ajst-19346	106	21	|	|	ADV
ajst-19346	106	22	∑	∑	INTJ
ajst-19346	106	23	∑	∑	PROPN
ajst-19346	106	24	|	|	ADV
ajst-19346	106	25	⊙	⊙	NOUN
ajst-19346	107	1	|	|	ADV
ajst-19346	107	2	(	(	PUNCT
ajst-19346	107	3	6	6	NUM
ajst-19346	107	4	)	)	PUNCT
ajst-19346	107	5	"	"	PUNCT
ajst-19346	107	6	estimation	estimation	NOUN
ajst-19346	107	7	"	"	PUNCT
ajst-19346	107	8	represents	represent	VERB
ajst-19346	107	9	the	the	DET
ajst-19346	107	10	predicted	predict	VERB
ajst-19346	107	11	value	value	NOUN
ajst-19346	107	12	estimate	estimate	NOUN
ajst-19346	107	13	,	,	PUNCT
ajst-19346	107	14	"	"	PUNCT
ajst-19346	107	15	target	target	NOUN
ajst-19346	107	16	"	"	PUNCT
ajst-19346	107	17	represents	represent	VERB
ajst-19346	107	18	the	the	DET
ajst-19346	107	19	actual	actual	ADJ
ajst-19346	107	20	value	value	NOUN
ajst-19346	107	21	data	datum	NOUN
ajst-19346	107	22	,	,	PUNCT
ajst-19346	107	23	and	and	CCONJ
ajst-19346	107	24	"	"	PUNCT
ajst-19346	107	25	mask	mask	NOUN
ajst-19346	107	26	"	"	PUNCT
ajst-19346	107	27	indicates	indicate	VERB
ajst-19346	107	28	the	the	DET
ajst-19346	107	29	missing	miss	VERB
ajst-19346	107	30	positions	position	NOUN
ajst-19346	107	31	in	in	ADP
ajst-19346	107	32	the	the	DET
ajst-19346	107	33	data	datum	NOUN
ajst-19346	107	34	.	.	PUNCT
ajst-19346	108	1	3.4	3.4	NUM
ajst-19346	108	2	.	.	PUNCT
ajst-19346	108	3	comparative	comparative	ADJ
ajst-19346	108	4	experimental	experimental	ADJ
ajst-19346	108	5	analysis	analysis	NOUN
ajst-19346	108	6	to	to	PART
ajst-19346	108	7	demonstrate	demonstrate	VERB
ajst-19346	108	8	the	the	DET
ajst-19346	108	9	cutting	cutting	NOUN
ajst-19346	108	10	-	-	PUNCT
ajst-19346	108	11	edge	edge	NOUN
ajst-19346	108	12	performance	performance	NOUN
ajst-19346	108	13	of	of	ADP
ajst-19346	108	14	the	the	DET
ajst-19346	108	15	bidmsa	bidmsa	PROPN
ajst-19346	108	16	-	-	PUNCT
ajst-19346	108	17	dwi	dwi	PROPN
ajst-19346	108	18	model	model	NOUN
ajst-19346	108	19	adopted	adopt	VERB
ajst-19346	108	20	in	in	ADP
ajst-19346	108	21	this	this	DET
ajst-19346	108	22	paper	paper	NOUN
ajst-19346	108	23	for	for	ADP
ajst-19346	108	24	handling	handle	VERB
ajst-19346	108	25	complex	complex	ADJ
ajst-19346	108	26	data	datum	NOUN
ajst-19346	108	27	imputation	imputation	NOUN
ajst-19346	108	28	tasks	task	NOUN
ajst-19346	108	29	,	,	PUNCT
ajst-19346	108	30	this	this	DET
ajst-19346	108	31	section	section	NOUN
ajst-19346	108	32	of	of	ADP
ajst-19346	108	33	the	the	DET
ajst-19346	108	34	experiment	experiment	NOUN
ajst-19346	108	35	has	have	AUX
ajst-19346	108	36	selected	select	VERB
ajst-19346	108	37	a	a	DET
ajst-19346	108	38	range	range	NOUN
ajst-19346	108	39	of	of	ADP
ajst-19346	108	40	comparison	comparison	NOUN
ajst-19346	108	41	models	model	NOUN
ajst-19346	108	42	for	for	ADP
ajst-19346	108	43	a	a	DET
ajst-19346	108	44	comprehensive	comprehensive	ADJ
ajst-19346	108	45	performance	performance	NOUN
ajst-19346	108	46	evaluation	evaluation	NOUN
ajst-19346	108	47	.	.	PUNCT
ajst-19346	109	1	these	these	DET
ajst-19346	109	2	comparative	comparative	ADJ
ajst-19346	109	3	models	model	NOUN
ajst-19346	109	4	include	include	VERB
ajst-19346	109	5	not	not	PART
ajst-19346	109	6	only	only	ADV
ajst-19346	109	7	traditional	traditional	ADJ
ajst-19346	109	8	machine	machine	NOUN
ajst-19346	109	9	learning	learn	VERB
ajst-19346	109	10	algorithms	algorithm	NOUN
ajst-19346	109	11	,	,	PUNCT
ajst-19346	109	12	such	such	ADJ
ajst-19346	109	13	as	as	ADP
ajst-19346	109	14	knn	knn	PROPN
ajst-19346	109	15	but	but	CCONJ
ajst-19346	109	16	also	also	ADV
ajst-19346	109	17	models	model	NOUN
ajst-19346	109	18	based	base	VERB
ajst-19346	109	19	on	on	ADP
ajst-19346	109	20	recurrent	recurrent	ADJ
ajst-19346	109	21	neural	neural	ADJ
ajst-19346	109	22	networks	network	NOUN
ajst-19346	109	23	like	like	ADP
ajst-19346	109	24	brits	brit	NOUN
ajst-19346	109	25	,	,	PUNCT
ajst-19346	109	26	as	as	ADV
ajst-19346	109	27	well	well	ADV
ajst-19346	109	28	as	as	ADP
ajst-19346	109	29	those	those	PRON
ajst-19346	109	30	using	use	VERB
ajst-19346	109	31	attention	attention	NOUN
ajst-19346	109	32	mechanisms	mechanism	NOUN
ajst-19346	109	33	such	such	ADJ
ajst-19346	109	34	as	as	ADP
ajst-19346	109	35	nrtsi	nrtsi	PROPN
ajst-19346	109	36	.	.	PUNCT
ajst-19346	110	1	the	the	DET
ajst-19346	110	2	term	term	NOUN
ajst-19346	110	3	"	"	PUNCT
ajst-19346	110	4	our	our	PRON
ajst-19346	110	5	"	"	PUNCT
ajst-19346	110	6	is	be	AUX
ajst-19346	110	7	used	use	VERB
ajst-19346	110	8	to	to	PART
ajst-19346	110	9	refer	refer	VERB
ajst-19346	110	10	to	to	ADP
ajst-19346	110	11	the	the	DET
ajst-19346	110	12	model	model	NOUN
ajst-19346	110	13	presented	present	VERB
ajst-19346	110	14	in	in	ADP
ajst-19346	110	15	this	this	DET
ajst-19346	110	16	paper	paper	NOUN
ajst-19346	110	17	.	.	PUNCT
ajst-19346	111	1	table	table	NOUN
ajst-19346	111	2	2	2	NUM
ajst-19346	111	3	.	.	PUNCT
ajst-19346	111	4	comparative	comparative	ADJ
ajst-19346	111	5	experiment	experiment	NOUN
ajst-19346	111	6	of	of	ADP
ajst-19346	111	7	imputation	imputation	NOUN
ajst-19346	111	8	models	model	NOUN
ajst-19346	111	9	model	model	VERB
ajst-19346	111	10	mae	mae	PROPN
ajst-19346	111	11	rmse	rmse	PROPN
ajst-19346	111	12	mre	mre	PROPN
ajst-19346	111	13	knn	knn	PROPN
ajst-19346	111	14	5.08	5.08	NUM
ajst-19346	111	15	%	%	NOUN
ajst-19346	111	16	13.36	13.36	NUM
ajst-19346	111	17	%	%	NOUN
ajst-19346	111	18	7.13	7.13	NUM
ajst-19346	111	19	%	%	NOUN
ajst-19346	111	20	brits	brit	NOUN
ajst-19346	111	21	3.91	3.91	NUM
ajst-19346	111	22	%	%	NOUN
ajst-19346	111	23	8.5	8.5	NUM
ajst-19346	111	24	%	%	NOUN
ajst-19346	111	25	4.94	4.94	NUM
ajst-19346	111	26	%	%	NOUN
ajst-19346	111	27	nrtsi	nrtsi	PROPN
ajst-19346	111	28	4.87	4.87	NUM
ajst-19346	111	29	%	%	NOUN
ajst-19346	111	30	12.46	12.46	NUM
ajst-19346	111	31	%	%	NOUN
ajst-19346	111	32	6.46	6.46	NUM
ajst-19346	111	33	%	%	NOUN
ajst-19346	111	34	our	our	PRON
ajst-19346	111	35	2.06	2.06	NUM
ajst-19346	111	36	%	%	NOUN
ajst-19346	111	37	7.08	7.08	NUM
ajst-19346	111	38	%	%	NOUN
ajst-19346	111	39	2.8	2.8	NUM
ajst-19346	111	40	%	%	NOUN
ajst-19346	111	41	by	by	ADP
ajst-19346	111	42	observing	observe	VERB
ajst-19346	111	43	the	the	DET
ajst-19346	111	44	experimental	experimental	ADJ
ajst-19346	111	45	results	result	NOUN
ajst-19346	111	46	in	in	ADP
ajst-19346	111	47	table	table	NOUN
ajst-19346	111	48	2	2	NUM
ajst-19346	111	49	,	,	PUNCT
ajst-19346	111	50	it	it	PRON
ajst-19346	111	51	can	can	AUX
ajst-19346	111	52	be	be	AUX
ajst-19346	111	53	seen	see	VERB
ajst-19346	111	54	that	that	SCONJ
ajst-19346	111	55	the	the	DET
ajst-19346	111	56	deep	deep	ADJ
ajst-19346	111	57	learning	learning	NOUN
ajst-19346	111	58	-	-	PUNCT
ajst-19346	111	59	based	base	VERB
ajst-19346	111	60	methods	method	NOUN
ajst-19346	111	61	,	,	PUNCT
ajst-19346	111	62	especially	especially	ADV
ajst-19346	111	63	the	the	DET
ajst-19346	111	64	bidmsa	bidmsa	PROPN
ajst-19346	111	65	-	-	PUNCT
ajst-19346	111	66	dwi	dwi	PROPN
ajst-19346	111	67	model	model	NOUN
ajst-19346	111	68	proposed	propose	VERB
ajst-19346	111	69	in	in	ADP
ajst-19346	111	70	this	this	DET
ajst-19346	111	71	paper	paper	NOUN
ajst-19346	111	72	,	,	PUNCT
ajst-19346	111	73	significantly	significantly	ADV
ajst-19346	111	74	outperform	outperform	VERB
ajst-19346	111	75	the	the	DET
ajst-19346	111	76	traditional	traditional	ADJ
ajst-19346	111	77	machine	machine	NOUN
ajst-19346	111	78	learning	learn	VERB
ajst-19346	111	79	algorithm	algorithm	PROPN
ajst-19346	111	80	knn	knn	PROPN
ajst-19346	111	81	across	across	ADP
ajst-19346	111	82	all	all	DET
ajst-19346	111	83	evaluation	evaluation	NOUN
ajst-19346	111	84	metrics	metric	NOUN
ajst-19346	111	85	.	.	PUNCT
ajst-19346	112	1	this	this	DET
ajst-19346	112	2	outcome	outcome	NOUN
ajst-19346	112	3	suggests	suggest	VERB
ajst-19346	112	4	that	that	SCONJ
ajst-19346	112	5	when	when	SCONJ
ajst-19346	112	6	it	it	PRON
ajst-19346	112	7	comes	come	VERB
ajst-19346	112	8	to	to	ADP
ajst-19346	112	9	imputing	impute	VERB
ajst-19346	112	10	missing	miss	VERB
ajst-19346	112	11	values	value	NOUN
ajst-19346	112	12	in	in	ADP
ajst-19346	112	13	irregular	irregular	ADJ
ajst-19346	112	14	multivariate	multivariate	NOUN
ajst-19346	112	15	data	datum	NOUN
ajst-19346	112	16	,	,	PUNCT
ajst-19346	112	17	deep	deep	ADJ
ajst-19346	112	18	learning	learning	NOUN
ajst-19346	112	19	,	,	PUNCT
ajst-19346	112	20	with	with	ADP
ajst-19346	112	21	its	its	PRON
ajst-19346	112	22	powerful	powerful	ADJ
ajst-19346	112	23	feature	feature	NOUN
ajst-19346	112	24	extraction	extraction	NOUN
ajst-19346	112	25	capabilities	capability	NOUN
ajst-19346	112	26	,	,	PUNCT
ajst-19346	112	27	is	be	AUX
ajst-19346	112	28	superior	superior	ADJ
ajst-19346	112	29	to	to	ADP
ajst-19346	112	30	traditional	traditional	ADJ
ajst-19346	112	31	statistical	statistical	ADJ
ajst-19346	112	32	machine	machine	NOUN
ajst-19346	112	33	learning	learning	NOUN
ajst-19346	112	34	methods	method	NOUN
ajst-19346	112	35	.	.	PUNCT
ajst-19346	113	1	the	the	DET
ajst-19346	113	2	bidmsa	bidmsa	PROPN
ajst-19346	113	3	-	-	PUNCT
ajst-19346	113	4	dwi	dwi	PROPN
ajst-19346	113	5	model	model	NOUN
ajst-19346	113	6	also	also	ADV
ajst-19346	113	7	demonstrates	demonstrate	VERB
ajst-19346	113	8	exceptional	exceptional	ADJ
ajst-19346	113	9	performance	performance	NOUN
ajst-19346	113	10	when	when	SCONJ
ajst-19346	113	11	compared	compare	VERB
ajst-19346	113	12	with	with	ADP
ajst-19346	113	13	other	other	ADJ
ajst-19346	113	14	advanced	advanced	ADJ
ajst-19346	113	15	deeplearning	deeplearning	NOUN
ajst-19346	113	16	models	model	NOUN
ajst-19346	113	17	,	,	PUNCT
ajst-19346	113	18	such	such	ADJ
ajst-19346	113	19	as	as	ADP
ajst-19346	113	20	brits	brit	NOUN
ajst-19346	113	21	and	and	CCONJ
ajst-19346	113	22	nrtsi	nrtsi	PROPN
ajst-19346	113	23	,	,	PUNCT
ajst-19346	113	24	which	which	PRON
ajst-19346	113	25	further	far	ADV
ajst-19346	113	26	confirms	confirm	VERB
ajst-19346	113	27	the	the	DET
ajst-19346	113	28	superiority	superiority	NOUN
ajst-19346	113	29	of	of	ADP
ajst-19346	113	30	our	our	PRON
ajst-19346	113	31	model	model	NOUN
ajst-19346	113	32	in	in	ADP
ajst-19346	113	33	the	the	DET
ajst-19346	113	34	field	field	NOUN
ajst-19346	113	35	of	of	ADP
ajst-19346	113	36	multivariate	multivariate	NOUN
ajst-19346	113	37	data	datum	NOUN
ajst-19346	113	38	imputation	imputation	NOUN
ajst-19346	113	39	.	.	PUNCT
ajst-19346	114	1	the	the	DET
ajst-19346	114	2	bidmsa	bidmsa	PROPN
ajst-19346	114	3	-	-	PUNCT
ajst-19346	114	4	dwi	dwi	PROPN
ajst-19346	114	5	utilizes	utilize	VERB
ajst-19346	114	6	a	a	DET
ajst-19346	114	7	bidirectional	bidirectional	ADJ
ajst-19346	114	8	masked	mask	VERB
ajst-19346	114	9	self	self	NOUN
ajst-19346	114	10	-	-	PUNCT
ajst-19346	114	11	attention	attention	NOUN
ajst-19346	114	12	mechanism	mechanism	NOUN
ajst-19346	114	13	that	that	PRON
ajst-19346	114	14	effectively	effectively	ADV
ajst-19346	114	15	captures	capture	VERB
ajst-19346	114	16	the	the	DET
ajst-19346	114	17	dependencies	dependency	NOUN
ajst-19346	114	18	between	between	ADP
ajst-19346	114	19	data	datum	NOUN
ajst-19346	114	20	points	point	NOUN
ajst-19346	114	21	.	.	PUNCT
ajst-19346	115	1	the	the	DET
ajst-19346	115	2	dynamic	dynamic	ADJ
ajst-19346	115	3	weighting	weighting	NOUN
ajst-19346	115	4	of	of	ADP
ajst-19346	115	5	the	the	DET
ajst-19346	115	6	two	two	NUM
ajst-19346	115	7	bidirectional	bidirectional	ADJ
ajst-19346	115	8	masked	mask	VERB
ajst-19346	115	9	selfattention	selfattention	NOUN
ajst-19346	115	10	modules	module	NOUN
ajst-19346	115	11	enables	enable	VERB
ajst-19346	115	12	more	more	ADV
ajst-19346	115	13	accurate	accurate	ADJ
ajst-19346	115	14	predictions	prediction	NOUN
ajst-19346	115	15	in	in	ADP
ajst-19346	115	16	data	datum	NOUN
ajst-19346	115	17	imputation	imputation	NOUN
ajst-19346	115	18	tasks	task	NOUN
ajst-19346	115	19	.	.	PUNCT
ajst-19346	116	1	3.5	3.5	NUM
ajst-19346	116	2	.	.	PUNCT
ajst-19346	116	3	attention	attention	NOUN
ajst-19346	116	4	ablation	ablation	NOUN
ajst-19346	116	5	experiment	experiment	NOUN
ajst-19346	116	6	analysis	analysis	NOUN
ajst-19346	116	7	to	to	PART
ajst-19346	116	8	further	far	ADV
ajst-19346	116	9	explore	explore	VERB
ajst-19346	116	10	the	the	DET
ajst-19346	116	11	potential	potential	NOUN
ajst-19346	116	12	of	of	ADP
ajst-19346	116	13	the	the	DET
ajst-19346	116	14	bidirectional	bidirectional	NOUN
ajst-19346	116	15	masked	mask	VERB
ajst-19346	116	16	self	self	NOUN
ajst-19346	116	17	-	-	PUNCT
ajst-19346	116	18	attention	attention	NOUN
ajst-19346	116	19	mechanism	mechanism	NOUN
ajst-19346	116	20	in	in	ADP
ajst-19346	116	21	enhancing	enhance	VERB
ajst-19346	116	22	the	the	DET
ajst-19346	116	23	predictive	predictive	ADJ
ajst-19346	116	24	performance	performance	NOUN
ajst-19346	116	25	of	of	ADP
ajst-19346	116	26	the	the	DET
ajst-19346	116	27	model	model	NOUN
ajst-19346	116	28	,	,	PUNCT
ajst-19346	116	29	this	this	DET
ajst-19346	116	30	study	study	NOUN
ajst-19346	116	31	employed	employ	VERB
ajst-19346	116	32	an	an	DET
ajst-19346	116	33	innovative	innovative	ADJ
ajst-19346	116	34	experimental	experimental	ADJ
ajst-19346	116	35	design	design	NOUN
ajst-19346	116	36	.	.	PUNCT
ajst-19346	117	1	the	the	DET
ajst-19346	117	2	experiment	experiment	NOUN
ajst-19346	117	3	involved	involve	VERB
ajst-19346	117	4	substituting	substitute	VERB
ajst-19346	117	5	the	the	DET
ajst-19346	117	6	bidirectional	bidirectional	NOUN
ajst-19346	117	7	masked	mask	VERB
ajst-19346	117	8	self	self	NOUN
ajst-19346	117	9	-	-	PUNCT
ajst-19346	117	10	attention	attention	NOUN
ajst-19346	117	11	module	module	NOUN
ajst-19346	117	12	in	in	ADP
ajst-19346	117	13	the	the	DET
ajst-19346	117	14	bidmsa	bidmsa	PROPN
ajst-19346	117	15	-	-	PUNCT
ajst-19346	117	16	dwi	dwi	PROPN
ajst-19346	117	17	model	model	NOUN
ajst-19346	117	18	with	with	ADP
ajst-19346	117	19	a	a	DET
ajst-19346	117	20	standard	standard	ADJ
ajst-19346	117	21	self	self	NOUN
ajst-19346	117	22	-	-	PUNCT
ajst-19346	117	23	attention	attention	NOUN
ajst-19346	117	24	mechanism	mechanism	NOUN
ajst-19346	117	25	,	,	PUNCT
ajst-19346	117	26	thus	thus	ADV
ajst-19346	117	27	creating	create	VERB
ajst-19346	117	28	a	a	DET
ajst-19346	117	29	control	control	NOUN
ajst-19346	117	30	model	model	NOUN
ajst-19346	117	31	named	name	VERB
ajst-19346	117	32	"	"	PUNCT
ajst-19346	117	33	self	self	NOUN
ajst-19346	117	34	.	.	PUNCT
ajst-19346	117	35	"	"	PUNCT
ajst-19346	118	1	471	471	NUM
ajst-19346	118	2	table	table	NOUN
ajst-19346	118	3	3	3	NUM
ajst-19346	118	4	.	.	PUNCT
ajst-19346	118	5	ablation	ablation	NOUN
ajst-19346	118	6	experiment	experiment	NOUN
ajst-19346	118	7	of	of	ADP
ajst-19346	118	8	the	the	DET
ajst-19346	118	9	attention	attention	NOUN
ajst-19346	118	10	mechanism	mechanism	NOUN
ajst-19346	118	11	model	model	NOUN
ajst-19346	118	12	mae	mae	PROPN
ajst-19346	118	13	rmse	rmse	PROPN
ajst-19346	118	14	mre	mre	PROPN
ajst-19346	118	15	self	self	NOUN
ajst-19346	118	16	2.13	2.13	NUM
ajst-19346	118	17	%	%	NOUN
ajst-19346	118	18	7.21	7.21	NUM
ajst-19346	118	19	%	%	NOUN
ajst-19346	118	20	2.9	2.9	NUM
ajst-19346	118	21	%	%	NOUN
ajst-19346	118	22	our	our	PRON
ajst-19346	118	23	2.06	2.06	NUM
ajst-19346	118	24	%	%	NOUN
ajst-19346	118	25	7.08	7.08	NUM
ajst-19346	118	26	%	%	NOUN
ajst-19346	118	27	2.8	2.8	NUM
ajst-19346	118	28	%	%	NOUN
ajst-19346	118	29	from	from	ADP
ajst-19346	118	30	the	the	DET
ajst-19346	118	31	results	result	NOUN
ajst-19346	118	32	in	in	ADP
ajst-19346	118	33	table	table	NOUN
ajst-19346	118	34	3	3	NUM
ajst-19346	118	35	,	,	PUNCT
ajst-19346	118	36	we	we	PRON
ajst-19346	118	37	can	can	AUX
ajst-19346	118	38	observe	observe	VERB
ajst-19346	118	39	that	that	SCONJ
ajst-19346	118	40	the	the	DET
ajst-19346	118	41	model	model	NOUN
ajst-19346	118	42	employing	employ	VERB
ajst-19346	118	43	bidirectional	bidirectional	NOUN
ajst-19346	118	44	masked	mask	VERB
ajst-19346	118	45	self	self	NOUN
ajst-19346	118	46	-	-	PUNCT
ajst-19346	118	47	attention	attention	NOUN
ajst-19346	118	48	outperformed	outperform	VERB
ajst-19346	118	49	the	the	DET
ajst-19346	118	50	model	model	NOUN
ajst-19346	118	51	that	that	PRON
ajst-19346	118	52	only	only	ADV
ajst-19346	118	53	used	use	VERB
ajst-19346	118	54	the	the	DET
ajst-19346	118	55	self	self	NOUN
ajst-19346	118	56	-	-	PUNCT
ajst-19346	118	57	attention	attention	NOUN
ajst-19346	118	58	mechanism	mechanism	NOUN
ajst-19346	118	59	across	across	ADP
ajst-19346	118	60	all	all	DET
ajst-19346	118	61	evaluation	evaluation	NOUN
ajst-19346	118	62	metrics	metric	NOUN
ajst-19346	118	63	.	.	PUNCT
ajst-19346	119	1	this	this	PRON
ajst-19346	119	2	indicates	indicate	VERB
ajst-19346	119	3	that	that	SCONJ
ajst-19346	119	4	the	the	DET
ajst-19346	119	5	bidirectional	bidirectional	NOUN
ajst-19346	119	6	masked	mask	VERB
ajst-19346	119	7	self	self	NOUN
ajst-19346	119	8	-	-	PUNCT
ajst-19346	119	9	attention	attention	NOUN
ajst-19346	119	10	mechanism	mechanism	NOUN
ajst-19346	119	11	,	,	PUNCT
ajst-19346	119	12	by	by	ADP
ajst-19346	119	13	restricting	restrict	VERB
ajst-19346	119	14	the	the	DET
ajst-19346	119	15	model	model	NOUN
ajst-19346	119	16	to	to	PART
ajst-19346	119	17	rely	rely	VERB
ajst-19346	119	18	solely	solely	ADV
ajst-19346	119	19	on	on	ADP
ajst-19346	119	20	information	information	NOUN
ajst-19346	119	21	from	from	ADP
ajst-19346	119	22	other	other	ADJ
ajst-19346	119	23	elements	element	NOUN
ajst-19346	119	24	rather	rather	ADV
ajst-19346	119	25	than	than	ADP
ajst-19346	119	26	its	its	PRON
ajst-19346	119	27	own	own	ADJ
ajst-19346	119	28	information	information	NOUN
ajst-19346	119	29	when	when	SCONJ
ajst-19346	119	30	making	make	VERB
ajst-19346	119	31	predictions	prediction	NOUN
ajst-19346	119	32	,	,	PUNCT
ajst-19346	119	33	can	can	AUX
ajst-19346	119	34	indeed	indeed	ADV
ajst-19346	119	35	enhance	enhance	VERB
ajst-19346	119	36	the	the	DET
ajst-19346	119	37	model	model	NOUN
ajst-19346	119	38	's	's	PART
ajst-19346	119	39	predictive	predictive	ADJ
ajst-19346	119	40	accuracy	accuracy	NOUN
ajst-19346	119	41	.	.	PUNCT
ajst-19346	120	1	the	the	DET
ajst-19346	120	2	bidirectional	bidirectional	ADJ
ajst-19346	120	3	masked	mask	VERB
ajst-19346	120	4	self	self	NOUN
ajst-19346	120	5	-	-	PUNCT
ajst-19346	120	6	attention	attention	NOUN
ajst-19346	120	7	mechanism	mechanism	NOUN
ajst-19346	120	8	introduces	introduce	VERB
ajst-19346	120	9	an	an	DET
ajst-19346	120	10	efficient	efficient	ADJ
ajst-19346	120	11	way	way	NOUN
ajst-19346	120	12	of	of	ADP
ajst-19346	120	13	encoding	encode	VERB
ajst-19346	120	14	contextual	contextual	ADJ
ajst-19346	120	15	information	information	NOUN
ajst-19346	120	16	,	,	PUNCT
ajst-19346	120	17	ensuring	ensure	VERB
ajst-19346	120	18	that	that	SCONJ
ajst-19346	120	19	each	each	DET
ajst-19346	120	20	element	element	NOUN
ajst-19346	120	21	in	in	ADP
ajst-19346	120	22	the	the	DET
ajst-19346	120	23	sequence	sequence	NOUN
ajst-19346	120	24	,	,	PUNCT
ajst-19346	120	25	when	when	SCONJ
ajst-19346	120	26	integrating	integrate	VERB
ajst-19346	120	27	information	information	NOUN
ajst-19346	120	28	,	,	PUNCT
ajst-19346	120	29	is	be	AUX
ajst-19346	120	30	not	not	PART
ajst-19346	120	31	distracted	distract	VERB
ajst-19346	120	32	by	by	ADP
ajst-19346	120	33	its	its	PRON
ajst-19346	120	34	own	own	ADJ
ajst-19346	120	35	signal	signal	NOUN
ajst-19346	120	36	.	.	PUNCT
ajst-19346	121	1	this	this	PRON
ajst-19346	121	2	allows	allow	VERB
ajst-19346	121	3	for	for	ADP
ajst-19346	121	4	accurately	accurately	ADV
ajst-19346	121	5	reflecting	reflect	VERB
ajst-19346	121	6	the	the	DET
ajst-19346	121	7	internal	internal	ADJ
ajst-19346	121	8	dynamics	dynamic	NOUN
ajst-19346	121	9	of	of	ADP
ajst-19346	121	10	the	the	DET
ajst-19346	121	11	sequence	sequence	NOUN
ajst-19346	121	12	.	.	PUNCT
ajst-19346	122	1	3.6	3.6	NUM
ajst-19346	122	2	.	.	PUNCT
ajst-19346	122	3	dynamic	dynamic	ADJ
ajst-19346	122	4	weighting	weighting	NOUN
ajst-19346	122	5	ablation	ablation	NOUN
ajst-19346	122	6	experiment	experiment	NOUN
ajst-19346	122	7	analysis	analysis	NOUN
ajst-19346	122	8	to	to	PART
ajst-19346	122	9	further	far	ADV
ajst-19346	122	10	validate	validate	VERB
ajst-19346	122	11	the	the	DET
ajst-19346	122	12	enhancing	enhance	VERB
ajst-19346	122	13	effect	effect	NOUN
ajst-19346	122	14	of	of	ADP
ajst-19346	122	15	the	the	DET
ajst-19346	122	16	dynamic	dynamic	ADJ
ajst-19346	122	17	weighting	weighting	NOUN
ajst-19346	122	18	module	module	NOUN
ajst-19346	122	19	on	on	ADP
ajst-19346	122	20	model	model	NOUN
ajst-19346	122	21	prediction	prediction	NOUN
ajst-19346	122	22	,	,	PUNCT
ajst-19346	122	23	and	and	CCONJ
ajst-19346	122	24	to	to	PART
ajst-19346	122	25	reveal	reveal	VERB
ajst-19346	122	26	how	how	SCONJ
ajst-19346	122	27	the	the	DET
ajst-19346	122	28	inputs	input	NOUN
ajst-19346	122	29	of	of	ADP
ajst-19346	122	30	two	two	NUM
ajst-19346	122	31	different	different	ADJ
ajst-19346	122	32	dmsa	dmsa	NOUN
ajst-19346	122	33	weights	weight	NOUN
ajst-19346	122	34	affect	affect	VERB
ajst-19346	122	35	the	the	DET
ajst-19346	122	36	performance	performance	NOUN
ajst-19346	122	37	of	of	ADP
ajst-19346	122	38	the	the	DET
ajst-19346	122	39	data	data	NOUN
ajst-19346	122	40	imputation	imputation	NOUN
ajst-19346	122	41	model	model	NOUN
ajst-19346	122	42	,	,	PUNCT
ajst-19346	122	43	this	this	DET
ajst-19346	122	44	section	section	NOUN
ajst-19346	122	45	has	have	AUX
ajst-19346	122	46	designed	design	VERB
ajst-19346	122	47	an	an	DET
ajst-19346	122	48	ablation	ablation	NOUN
ajst-19346	122	49	experiment	experiment	NOUN
ajst-19346	122	50	targeting	target	VERB
ajst-19346	122	51	the	the	DET
ajst-19346	122	52	weighting	weighting	NOUN
ajst-19346	122	53	component	component	NOUN
ajst-19346	122	54	.	.	PUNCT
ajst-19346	123	1	these	these	DET
ajst-19346	123	2	experiments	experiment	NOUN
ajst-19346	123	3	aim	aim	VERB
ajst-19346	123	4	to	to	PART
ajst-19346	123	5	compare	compare	VERB
ajst-19346	123	6	the	the	DET
ajst-19346	123	7	model	model	NOUN
ajst-19346	123	8	prediction	prediction	NOUN
ajst-19346	123	9	performance	performance	NOUN
ajst-19346	123	10	between	between	ADP
ajst-19346	123	11	the	the	DET
ajst-19346	123	12	average	average	ADJ
ajst-19346	123	13	weight	weight	NOUN
ajst-19346	123	14	weighting	weighting	NOUN
ajst-19346	123	15	strategy	strategy	NOUN
ajst-19346	123	16	and	and	CCONJ
ajst-19346	123	17	the	the	DET
ajst-19346	123	18	models	model	NOUN
ajst-19346	123	19	weighted	weight	VERB
ajst-19346	123	20	individually	individually	ADV
ajst-19346	123	21	by	by	ADP
ajst-19346	123	22	either	either	CCONJ
ajst-19346	123	23	the	the	DET
ajst-19346	123	24	first	first	ADJ
ajst-19346	123	25	or	or	CCONJ
ajst-19346	123	26	the	the	DET
ajst-19346	123	27	second	second	ADJ
ajst-19346	123	28	dmsa	dmsa	NOUN
ajst-19346	123	29	module	module	NOUN
ajst-19346	123	30	's	's	PART
ajst-19346	123	31	weights	weight	NOUN
ajst-19346	123	32	.	.	PUNCT
ajst-19346	124	1	the	the	DET
ajst-19346	124	2	experimental	experimental	ADJ
ajst-19346	124	3	results	result	NOUN
ajst-19346	124	4	are	be	AUX
ajst-19346	124	5	recorded	record	VERB
ajst-19346	124	6	in	in	ADP
ajst-19346	124	7	table	table	NOUN
ajst-19346	124	8	3	3	NUM
ajst-19346	124	9	,	,	PUNCT
ajst-19346	124	10	where	where	SCONJ
ajst-19346	124	11	-att2	-att2	PRON
ajst-19346	124	12	represents	represent	VERB
ajst-19346	124	13	the	the	DET
ajst-19346	124	14	removal	removal	NOUN
ajst-19346	124	15	of	of	ADP
ajst-19346	124	16	the	the	DET
ajst-19346	124	17	weighting	weighting	NOUN
ajst-19346	124	18	from	from	ADP
ajst-19346	124	19	the	the	DET
ajst-19346	124	20	second	second	ADJ
ajst-19346	124	21	dmsa	dmsa	NOUN
ajst-19346	124	22	module	module	NOUN
ajst-19346	124	23	,	,	PUNCT
ajst-19346	124	24	-att1	-att1	PROPN
ajst-19346	124	25	signifies	signify	VERB
ajst-19346	124	26	the	the	DET
ajst-19346	124	27	removal	removal	NOUN
ajst-19346	124	28	of	of	ADP
ajst-19346	124	29	the	the	DET
ajst-19346	124	30	weighting	weighting	NOUN
ajst-19346	124	31	from	from	ADP
ajst-19346	124	32	the	the	DET
ajst-19346	124	33	first	first	ADJ
ajst-19346	124	34	dmsa	dmsa	NOUN
ajst-19346	124	35	module	module	NOUN
ajst-19346	124	36	,	,	PUNCT
ajst-19346	124	37	and	and	CCONJ
ajst-19346	124	38	-att1	-att1	NOUN
ajst-19346	124	39	-	-	PUNCT
ajst-19346	124	40	att2	att2	PROPN
ajst-19346	124	41	indicates	indicate	VERB
ajst-19346	124	42	the	the	DET
ajst-19346	124	43	adoption	adoption	NOUN
ajst-19346	124	44	of	of	ADP
ajst-19346	124	45	the	the	DET
ajst-19346	124	46	average	average	ADJ
ajst-19346	124	47	weighting	weighting	NOUN
ajst-19346	124	48	strategy	strategy	NOUN
ajst-19346	124	49	.	.	PUNCT
ajst-19346	125	1	by	by	ADP
ajst-19346	125	2	observing	observe	VERB
ajst-19346	125	3	table	table	NOUN
ajst-19346	125	4	4	4	NUM
ajst-19346	125	5	,	,	PUNCT
ajst-19346	125	6	it	it	PRON
ajst-19346	125	7	can	can	AUX
ajst-19346	125	8	be	be	AUX
ajst-19346	125	9	found	find	VERB
ajst-19346	125	10	that	that	SCONJ
ajst-19346	125	11	compared	compare	VERB
ajst-19346	125	12	to	to	ADP
ajst-19346	125	13	the	the	DET
ajst-19346	125	14	model	model	NOUN
ajst-19346	125	15	that	that	PRON
ajst-19346	125	16	did	do	AUX
ajst-19346	125	17	not	not	PART
ajst-19346	125	18	use	use	VERB
ajst-19346	125	19	dynamic	dynamic	ADJ
ajst-19346	125	20	weighting	weighting	NOUN
ajst-19346	125	21	of	of	ADP
ajst-19346	125	22	the	the	DET
ajst-19346	125	23	two	two	NUM
ajst-19346	125	24	attention	attention	NOUN
ajst-19346	125	25	module	module	NOUN
ajst-19346	125	26	weights	weight	NOUN
ajst-19346	125	27	,	,	PUNCT
ajst-19346	125	28	the	the	DET
ajst-19346	125	29	model	model	NOUN
ajst-19346	125	30	proposed	propose	VERB
ajst-19346	125	31	in	in	ADP
ajst-19346	125	32	this	this	DET
ajst-19346	125	33	study	study	NOUN
ajst-19346	125	34	reduced	reduce	VERB
ajst-19346	125	35	the	the	DET
ajst-19346	125	36	mae	mae	PROPN
ajst-19346	125	37	by	by	ADP
ajst-19346	125	38	0.2	0.2	NUM
ajst-19346	125	39	%	%	NOUN
ajst-19346	125	40	,	,	PUNCT
ajst-19346	125	41	rmse	rmse	NOUN
ajst-19346	125	42	by	by	ADP
ajst-19346	125	43	0.46	0.46	NUM
ajst-19346	125	44	%	%	NOUN
ajst-19346	125	45	,	,	PUNCT
ajst-19346	125	46	and	and	CCONJ
ajst-19346	125	47	mre	mre	NOUN
ajst-19346	125	48	by	by	ADP
ajst-19346	125	49	0.27	0.27	NUM
ajst-19346	125	50	%	%	NOUN
ajst-19346	125	51	,	,	PUNCT
ajst-19346	125	52	demonstrating	demonstrate	VERB
ajst-19346	125	53	the	the	DET
ajst-19346	125	54	effectiveness	effectiveness	NOUN
ajst-19346	125	55	of	of	ADP
ajst-19346	125	56	the	the	DET
ajst-19346	125	57	dynamic	dynamic	ADJ
ajst-19346	125	58	weighting	weighting	NOUN
ajst-19346	125	59	mechanism	mechanism	NOUN
ajst-19346	125	60	in	in	ADP
ajst-19346	125	61	data	data	NOUN
ajst-19346	125	62	imputation	imputation	NOUN
ajst-19346	125	63	.	.	PUNCT
ajst-19346	126	1	table	table	NOUN
ajst-19346	126	2	4	4	NUM
ajst-19346	126	3	.	.	PUNCT
ajst-19346	127	1	three	three	NUM
ajst-19346	127	2	scheme	scheme	NOUN
ajst-19346	127	3	comparing	compare	VERB
ajst-19346	127	4	model	model	NOUN
ajst-19346	127	5	mae	mae	PROPN
ajst-19346	127	6	rmse	rmse	PROPN
ajst-19346	127	7	mre	mre	PROPN
ajst-19346	127	8	our	our	PRON
ajst-19346	127	9	2.06	2.06	NUM
ajst-19346	127	10	%	%	NOUN
ajst-19346	127	11	7.08	7.08	NUM
ajst-19346	127	12	%	%	NOUN
ajst-19346	127	13	2.8	2.8	NUM
ajst-19346	127	14	%	%	NOUN
ajst-19346	127	15	our	our	PRON
ajst-19346	127	16	-	-	PUNCT
ajst-19346	127	17	att2	att2	NOUN
ajst-19346	127	18	2.27	2.27	NUM
ajst-19346	127	19	%	%	NOUN
ajst-19346	127	20	7.48	7.48	NUM
ajst-19346	127	21	%	%	NOUN
ajst-19346	127	22	3.09	3.09	NUM
ajst-19346	127	23	%	%	NOUN
ajst-19346	127	24	our	our	PRON
ajst-19346	127	25	-	-	PUNCT
ajst-19346	127	26	att1	att1	NOUN
ajst-19346	127	27	2.1	2.1	NUM
ajst-19346	127	28	%	%	NOUN
ajst-19346	127	29	7.26	7.26	NUM
ajst-19346	127	30	%	%	NOUN
ajst-19346	127	31	2.86	2.86	NUM
ajst-19346	127	32	%	%	NOUN
ajst-19346	127	33	our	our	PRON
ajst-19346	127	34	-	-	PUNCT
ajst-19346	127	35	att1att2	att1att2	NOUN
ajst-19346	127	36	2.26	2.26	NUM
ajst-19346	127	37	%	%	NOUN
ajst-19346	127	38	7.54	7.54	NUM
ajst-19346	127	39	%	%	NOUN
ajst-19346	127	40	3.07	3.07	NUM
ajst-19346	127	41	%	%	NOUN
ajst-19346	127	42	further	further	ADJ
ajst-19346	127	43	analysis	analysis	NOUN
ajst-19346	127	44	reveals	reveal	VERB
ajst-19346	127	45	that	that	SCONJ
ajst-19346	127	46	both	both	CCONJ
ajst-19346	127	47	the	the	DET
ajst-19346	127	48	first	first	ADJ
ajst-19346	127	49	and	and	CCONJ
ajst-19346	127	50	the	the	DET
ajst-19346	127	51	second	second	ADJ
ajst-19346	127	52	bidirectional	bidirectional	NOUN
ajst-19346	127	53	masked	mask	VERB
ajst-19346	127	54	self	self	NOUN
ajst-19346	127	55	-	-	PUNCT
ajst-19346	127	56	attention	attention	NOUN
ajst-19346	127	57	modules	module	NOUN
ajst-19346	127	58	play	play	VERB
ajst-19346	127	59	a	a	DET
ajst-19346	127	60	positive	positive	ADJ
ajst-19346	127	61	role	role	NOUN
ajst-19346	127	62	in	in	ADP
ajst-19346	127	63	the	the	DET
ajst-19346	127	64	predictive	predictive	ADJ
ajst-19346	127	65	performance	performance	NOUN
ajst-19346	127	66	of	of	ADP
ajst-19346	127	67	the	the	DET
ajst-19346	127	68	model	model	NOUN
ajst-19346	127	69	.	.	PUNCT
ajst-19346	128	1	however	however	ADV
ajst-19346	128	2	,	,	PUNCT
ajst-19346	128	3	when	when	SCONJ
ajst-19346	128	4	the	the	DET
ajst-19346	128	5	second	second	ADJ
ajst-19346	128	6	module	module	NOUN
ajst-19346	128	7	is	be	AUX
ajst-19346	128	8	removed	remove	VERB
ajst-19346	128	9	,	,	PUNCT
ajst-19346	128	10	the	the	DET
ajst-19346	128	11	performance	performance	NOUN
ajst-19346	128	12	loss	loss	NOUN
ajst-19346	128	13	is	be	AUX
ajst-19346	128	14	more	more	ADV
ajst-19346	128	15	significant	significant	ADJ
ajst-19346	128	16	,	,	PUNCT
ajst-19346	128	17	which	which	PRON
ajst-19346	128	18	suggests	suggest	VERB
ajst-19346	128	19	that	that	SCONJ
ajst-19346	128	20	the	the	DET
ajst-19346	128	21	second	second	ADJ
ajst-19346	128	22	module	module	NOUN
ajst-19346	128	23	holds	hold	VERB
ajst-19346	128	24	a	a	DET
ajst-19346	128	25	more	more	ADV
ajst-19346	128	26	crucial	crucial	ADJ
ajst-19346	128	27	position	position	NOUN
ajst-19346	128	28	in	in	ADP
ajst-19346	128	29	the	the	DET
ajst-19346	128	30	model	model	NOUN
ajst-19346	128	31	.	.	PUNCT
ajst-19346	129	1	when	when	SCONJ
ajst-19346	129	2	both	both	DET
ajst-19346	129	3	modules	module	NOUN
ajst-19346	129	4	are	be	AUX
ajst-19346	129	5	removed	remove	VERB
ajst-19346	129	6	,	,	PUNCT
ajst-19346	129	7	the	the	DET
ajst-19346	129	8	performance	performance	NOUN
ajst-19346	129	9	loss	loss	NOUN
ajst-19346	129	10	is	be	AUX
ajst-19346	129	11	greatest	great	ADJ
ajst-19346	129	12	,	,	PUNCT
ajst-19346	129	13	which	which	PRON
ajst-19346	129	14	further	far	ADV
ajst-19346	129	15	confirms	confirm	VERB
ajst-19346	129	16	that	that	SCONJ
ajst-19346	129	17	these	these	DET
ajst-19346	129	18	two	two	NUM
ajst-19346	129	19	modules	module	NOUN
ajst-19346	129	20	play	play	VERB
ajst-19346	129	21	a	a	DET
ajst-19346	129	22	synergistic	synergistic	ADJ
ajst-19346	129	23	,	,	PUNCT
ajst-19346	129	24	mutually	mutually	ADV
ajst-19346	129	25	enhancing	enhance	VERB
ajst-19346	129	26	role	role	NOUN
ajst-19346	129	27	in	in	ADP
ajst-19346	129	28	the	the	DET
ajst-19346	129	29	model	model	NOUN
ajst-19346	129	30	,	,	PUNCT
ajst-19346	129	31	which	which	PRON
ajst-19346	129	32	is	be	AUX
ajst-19346	129	33	vital	vital	ADJ
ajst-19346	129	34	for	for	ADP
ajst-19346	129	35	achieving	achieve	VERB
ajst-19346	129	36	optimal	optimal	ADJ
ajst-19346	129	37	predictive	predictive	ADJ
ajst-19346	129	38	performance	performance	NOUN
ajst-19346	129	39	.	.	PUNCT
ajst-19346	130	1	4	4	X
ajst-19346	130	2	.	.	X
ajst-19346	130	3	conclusion	conclusion	NOUN
ajst-19346	130	4	this	this	DET
ajst-19346	130	5	paper	paper	NOUN
ajst-19346	130	6	introduces	introduce	VERB
ajst-19346	130	7	the	the	DET
ajst-19346	130	8	bidmsa	bidmsa	PROPN
ajst-19346	130	9	-	-	PUNCT
ajst-19346	130	10	dwi	dwi	PROPN
ajst-19346	130	11	model	model	NOUN
ajst-19346	130	12	for	for	ADP
ajst-19346	130	13	imputing	impute	VERB
ajst-19346	130	14	missing	missing	ADJ
ajst-19346	130	15	and	and	CCONJ
ajst-19346	130	16	anomalous	anomalous	ADJ
ajst-19346	130	17	values	value	NOUN
ajst-19346	130	18	in	in	ADP
ajst-19346	130	19	intraoperative	intraoperative	ADJ
ajst-19346	130	20	physiological	physiological	ADJ
ajst-19346	130	21	indicators	indicator	NOUN
ajst-19346	130	22	,	,	PUNCT
ajst-19346	130	23	employing	employ	VERB
ajst-19346	130	24	the	the	DET
ajst-19346	130	25	dmsa	dmsa	NOUN
ajst-19346	130	26	mechanism	mechanism	NOUN
ajst-19346	130	27	.	.	PUNCT
ajst-19346	131	1	it	it	PRON
ajst-19346	131	2	constructs	construct	VERB
ajst-19346	131	3	two	two	NUM
ajst-19346	131	4	dmsa	dmsa	NOUN
ajst-19346	131	5	blocks	block	NOUN
ajst-19346	131	6	and	and	CCONJ
ajst-19346	131	7	dynamically	dynamically	ADV
ajst-19346	131	8	weights	weight	VERB
ajst-19346	131	9	the	the	DET
ajst-19346	131	10	learned	learn	VERB
ajst-19346	131	11	representations	representation	NOUN
ajst-19346	131	12	and	and	CCONJ
ajst-19346	131	13	output	output	NOUN
ajst-19346	131	14	weights	weight	NOUN
ajst-19346	131	15	obtained	obtain	VERB
ajst-19346	131	16	from	from	ADP
ajst-19346	131	17	these	these	DET
ajst-19346	131	18	two	two	NUM
ajst-19346	131	19	dmsa	dmsa	NOUN
ajst-19346	131	20	blocks	block	NOUN
ajst-19346	131	21	to	to	PART
ajst-19346	131	22	achieve	achieve	VERB
ajst-19346	131	23	the	the	DET
ajst-19346	131	24	imputed	impute	VERB
ajst-19346	131	25	data	datum	NOUN
ajst-19346	131	26	.	.	PUNCT
ajst-19346	132	1	experimental	experimental	ADJ
ajst-19346	132	2	analysis	analysis	NOUN
ajst-19346	132	3	has	have	AUX
ajst-19346	132	4	shown	show	VERB
ajst-19346	132	5	that	that	SCONJ
ajst-19346	132	6	the	the	DET
ajst-19346	132	7	performance	performance	NOUN
ajst-19346	132	8	of	of	ADP
ajst-19346	132	9	this	this	DET
ajst-19346	132	10	model	model	NOUN
ajst-19346	132	11	is	be	AUX
ajst-19346	132	12	significantly	significantly	ADV
ajst-19346	132	13	superior	superior	ADJ
ajst-19346	132	14	to	to	ADP
ajst-19346	132	15	comparative	comparative	ADJ
ajst-19346	132	16	models	model	NOUN
ajst-19346	132	17	in	in	ADP
ajst-19346	132	18	clinical	clinical	ADJ
ajst-19346	132	19	data	datum	NOUN
ajst-19346	132	20	,	,	PUNCT
ajst-19346	132	21	and	and	CCONJ
ajst-19346	132	22	ablation	ablation	NOUN
ajst-19346	132	23	experiments	experiment	NOUN
ajst-19346	132	24	have	have	AUX
ajst-19346	132	25	proven	prove	VERB
ajst-19346	132	26	the	the	DET
ajst-19346	132	27	effectiveness	effectiveness	NOUN
ajst-19346	132	28	of	of	ADP
ajst-19346	132	29	the	the	DET
ajst-19346	132	30	dmsa	dmsa	NOUN
ajst-19346	132	31	and	and	CCONJ
ajst-19346	132	32	dynamic	dynamic	ADJ
ajst-19346	132	33	weighting	weighting	NOUN
ajst-19346	132	34	imputation	imputation	NOUN
ajst-19346	132	35	.	.	PUNCT
ajst-19346	133	1	however	however	ADV
ajst-19346	133	2	,	,	PUNCT
ajst-19346	133	3	since	since	SCONJ
ajst-19346	133	4	the	the	DET
ajst-19346	133	5	model	model	NOUN
ajst-19346	133	6	does	do	AUX
ajst-19346	133	7	not	not	PART
ajst-19346	133	8	account	account	VERB
ajst-19346	133	9	for	for	ADP
ajst-19346	133	10	individual	individual	ADJ
ajst-19346	133	11	differences	difference	NOUN
ajst-19346	133	12	,	,	PUNCT
ajst-19346	133	13	there	there	PRON
ajst-19346	133	14	is	be	VERB
ajst-19346	133	15	still	still	ADV
ajst-19346	133	16	room	room	NOUN
ajst-19346	133	17	for	for	ADP
ajst-19346	133	18	performance	performance	NOUN
ajst-19346	133	19	improvement	improvement	NOUN
ajst-19346	133	20	.	.	PUNCT
ajst-19346	134	1	in	in	ADP
ajst-19346	134	2	the	the	DET
ajst-19346	134	3	future	future	NOUN
ajst-19346	134	4	,	,	PUNCT
ajst-19346	134	5	more	more	ADJ
ajst-19346	134	6	data	datum	NOUN
ajst-19346	134	7	will	will	AUX
ajst-19346	134	8	be	be	AUX
ajst-19346	134	9	collected	collect	VERB
ajst-19346	134	10	for	for	ADP
ajst-19346	134	11	further	further	ADJ
ajst-19346	134	12	experimentation	experimentation	NOUN
ajst-19346	134	13	and	and	CCONJ
ajst-19346	134	14	clinical	clinical	ADJ
ajst-19346	134	15	application	application	NOUN
ajst-19346	134	16	validation	validation	NOUN
ajst-19346	134	17	to	to	PART
ajst-19346	134	18	explore	explore	VERB
ajst-19346	134	19	the	the	DET
ajst-19346	134	20	effects	effect	NOUN
ajst-19346	134	21	and	and	CCONJ
ajst-19346	134	22	value	value	NOUN
ajst-19346	134	23	of	of	ADP
ajst-19346	134	24	this	this	DET
ajst-19346	134	25	model	model	NOUN
ajst-19346	134	26	in	in	ADP
ajst-19346	134	27	practical	practical	ADJ
ajst-19346	134	28	applications	application	NOUN
ajst-19346	134	29	.	.	PUNCT
ajst-19346	135	1	references	reference	NOUN
ajst-19346	135	2	[	[	X
ajst-19346	135	3	1	1	NUM
ajst-19346	135	4	]	]	PUNCT
ajst-19346	135	5	joosten	joosten	VERB
ajst-19346	135	6	a	a	PRON
ajst-19346	135	7	,	,	PUNCT
ajst-19346	135	8	lucidi	lucidi	PROPN
ajst-19346	135	9	v	v	PROPN
ajst-19346	135	10	,	,	PUNCT
ajst-19346	135	11	ickx	ickx	PROPN
ajst-19346	135	12	b	b	PROPN
ajst-19346	135	13	,	,	PUNCT
ajst-19346	135	14	et	et	PROPN
ajst-19346	135	15	al	al	PROPN
ajst-19346	135	16	.	.	PROPN
ajst-19346	135	17	intraoperative	intraoperative	ADJ
ajst-19346	135	18	hypotension	hypotension	NOUN
ajst-19346	135	19	during	during	ADP
ajst-19346	135	20	liver	liver	NOUN
ajst-19346	135	21	transplant	transplant	NOUN
ajst-19346	135	22	surgery	surgery	NOUN
ajst-19346	135	23	is	be	AUX
ajst-19346	135	24	associated	associate	VERB
ajst-19346	135	25	with	with	ADP
ajst-19346	135	26	postopera	postopera	ADJ
ajst-19346	135	27	-	-	PUNCT
ajst-19346	135	28	tive	tive	NOUN
ajst-19346	135	29	acute	acute	NOUN
ajst-19346	135	30	kidney	kidney	NOUN
ajst-19346	135	31	injury	injury	NOUN
ajst-19346	135	32	:	:	PUNCT
ajst-19346	135	33	a	a	DET
ajst-19346	135	34	historical	historical	ADJ
ajst-19346	135	35	cohort	cohort	NOUN
ajst-19346	135	36	study[j	study[j	NOUN
ajst-19346	135	37	]	]	PUNCT
ajst-19346	135	38	.	.	PUNCT
ajst-19346	136	1	bmc	bmc	ADJ
ajst-19346	136	2	anesthesiology	anesthesiology	NOUN
ajst-19346	136	3	,	,	PUNCT
ajst-19346	136	4	2021	2021	NUM
ajst-19346	136	5	,	,	PUNCT
ajst-19346	136	6	21(1	21(1	NUM
ajst-19346	136	7	):	):	PUNCT
ajst-19346	136	8	1	1	NUM
ajst-19346	136	9	-	-	SYM
ajst-19346	136	10	10	10	NUM
ajst-19346	136	11	.	.	PUNCT
ajst-19346	137	1	[	[	X
ajst-19346	137	2	2	2	X
ajst-19346	137	3	]	]	PUNCT
ajst-19346	137	4	salmasi	salmasi	PROPN
ajst-19346	137	5	v	v	NOUN
ajst-19346	137	6	,	,	PUNCT
ajst-19346	137	7	maheshwari	maheshwari	PROPN
ajst-19346	137	8	k	k	PROPN
ajst-19346	137	9	,	,	PUNCT
ajst-19346	137	10	yang	yang	PROPN
ajst-19346	137	11	d	d	PROPN
ajst-19346	137	12	,	,	PUNCT
ajst-19346	137	13	mascha	mascha	PROPN
ajst-19346	137	14	ej	ej	PROPN
ajst-19346	137	15	,	,	PUNCT
ajst-19346	137	16	singh	singh	PROPN
ajst-19346	137	17	a	a	X
ajst-19346	137	18	,	,	PUNCT
ajst-19346	137	19	sessler	sessler	PROPN
ajst-19346	137	20	di	di	PROPN
ajst-19346	137	21	,	,	PUNCT
ajst-19346	137	22	kurz	kurz	PROPN
ajst-19346	137	23	a.	a.	NOUN
ajst-19346	137	24	relationship	relationship	NOUN
ajst-19346	137	25	between	between	ADP
ajst-19346	137	26	intraoperative	intraoperative	ADJ
ajst-19346	137	27	hypotension	hypotension	NOUN
ajst-19346	137	28	,	,	PUNCT
ajst-19346	137	29	defined	define	VERB
ajst-19346	137	30	by	by	ADP
ajst-19346	137	31	either	either	DET
ajst-19346	137	32	reduction	reduction	NOUN
ajst-19346	137	33	from	from	ADP
ajst-19346	137	34	baseline	baseline	ADJ
ajst-19346	137	35	or	or	CCONJ
ajst-19346	137	36	absolute	absolute	ADJ
ajst-19346	137	37	thresholds	threshold	NOUN
ajst-19346	137	38	,	,	PUNCT
ajst-19346	137	39	and	and	CCONJ
ajst-19346	137	40	acute	acute	ADJ
ajst-19346	137	41	kidney	kidney	NOUN
ajst-19346	137	42	and	and	CCONJ
ajst-19346	137	43	myocardial	myocardial	ADJ
ajst-19346	137	44	injury	injury	NOUN
ajst-19346	137	45	after	after	ADP
ajst-19346	137	46	noncardiac	noncardiac	ADJ
ajst-19346	137	47	surgery	surgery	NOUN
ajst-19346	137	48	:	:	PUNCT
ajst-19346	137	49	a	a	DET
ajst-19346	137	50	retrospective	retrospective	ADJ
ajst-19346	137	51	cohort	cohort	NOUN
ajst-19346	137	52	analysis	analysis	NOUN
ajst-19346	137	53	.	.	PUNCT
ajst-19346	138	1	anesthesiology	anesthesiology	NOUN
ajst-19346	138	2	.	.	PUNCT
ajst-19346	139	1	2017	2017	NUM
ajst-19346	139	2	jan;126(1):47	jan;126(1):47	PROPN
ajst-19346	139	3	-	-	PUNCT
ajst-19346	139	4	65	65	NUM
ajst-19346	139	5	.	.	PUNCT
ajst-19346	140	1	[	[	X
ajst-19346	140	2	3	3	X
ajst-19346	140	3	]	]	X
ajst-19346	140	4	lundberg	lundberg	PROPN
ajst-19346	140	5	s	s	PROPN
ajst-19346	140	6	m	m	PROPN
ajst-19346	140	7	,	,	PUNCT
ajst-19346	140	8	nair	nair	PROPN
ajst-19346	140	9	b	b	PROPN
ajst-19346	140	10	,	,	PUNCT
ajst-19346	140	11	vavilala	vavilala	PROPN
ajst-19346	140	12	m	m	NOUN
ajst-19346	140	13	s	s	PROPN
ajst-19346	140	14	,	,	PUNCT
ajst-19346	140	15	et	et	PROPN
ajst-19346	140	16	al	al	PROPN
ajst-19346	140	17	.	.	PUNCT
ajst-19346	140	18	explainable	explainable	ADJ
ajst-19346	140	19	machine	machine	NOUN
ajst-19346	140	20	-	-	PUNCT
ajst-19346	140	21	learning	learn	VERB
ajst-19346	140	22	predictions	prediction	NOUN
ajst-19346	140	23	for	for	ADP
ajst-19346	140	24	the	the	DET
ajst-19346	140	25	prevention	prevention	NOUN
ajst-19346	140	26	of	of	ADP
ajst-19346	140	27	hypoxaemia	hypoxaemia	NOUN
ajst-19346	140	28	during	during	ADP
ajst-19346	140	29	surgery[j	surgery[j	NOUN
ajst-19346	140	30	]	]	PUNCT
ajst-19346	140	31	.	.	PUNCT
ajst-19346	141	1	nature	nature	PROPN
ajst-19346	141	2	biomedical	biomedical	PROPN
ajst-19346	141	3	engineering	engineering	NOUN
ajst-19346	141	4	,	,	PUNCT
ajst-19346	141	5	2018	2018	NUM
ajst-19346	141	6	,	,	PUNCT
ajst-19346	141	7	2(10	2(10	NUM
ajst-19346	141	8	):	):	PUNCT
ajst-19346	141	9	749	749	NUM
ajst-19346	141	10	-	-	SYM
ajst-19346	141	11	760	760	NUM
ajst-19346	141	12	.	.	PUNCT
ajst-19346	142	1	[	[	X
ajst-19346	142	2	4	4	X
ajst-19346	142	3	]	]	PUNCT
ajst-19346	142	4	healy	healy	PROPN
ajst-19346	142	5	m	m	PROPN
ajst-19346	142	6	a	a	PROPN
ajst-19346	142	7	,	,	PUNCT
ajst-19346	142	8	mullard	mullard	PROPN
ajst-19346	142	9	a	a	DET
ajst-19346	142	10	j	j	PROPN
ajst-19346	142	11	,	,	PUNCT
ajst-19346	142	12	campbell	campbell	PROPN
ajst-19346	142	13	d	d	PROPN
ajst-19346	142	14	a	a	PROPN
ajst-19346	142	15	,	,	PUNCT
ajst-19346	142	16	et	et	PROPN
ajst-19346	142	17	al	al	PROPN
ajst-19346	142	18	.	.	PROPN
ajst-19346	142	19	hospital	hospital	PROPN
ajst-19346	142	20	and	and	CCONJ
ajst-19346	142	21	payer	payer	NOUN
ajst-19346	142	22	costs	cost	NOUN
ajst-19346	142	23	associated	associate	VERB
ajst-19346	142	24	with	with	ADP
ajst-19346	142	25	surgical	surgical	ADJ
ajst-19346	142	26	complications[j	complications[j	NOUN
ajst-19346	142	27	]	]	PUNCT
ajst-19346	142	28	.	.	PUNCT
ajst-19346	143	1	jama	jama	PROPN
ajst-19346	143	2	surgery	surgery	NOUN
ajst-19346	143	3	,	,	PUNCT
ajst-19346	143	4	2016	2016	NUM
ajst-19346	143	5	,	,	PUNCT
ajst-19346	143	6	151(9	151(9	NUM
ajst-19346	143	7	):	):	PUNCT
ajst-19346	143	8	823	823	NUM
ajst-19346	143	9	-	-	SYM
ajst-19346	143	10	830	830	NUM
ajst-19346	143	11	.	.	PUNCT
ajst-19346	144	1	[	[	X
ajst-19346	144	2	5	5	NUM
ajst-19346	144	3	]	]	X
ajst-19346	144	4	choe	choe	PROPN
ajst-19346	144	5	,	,	PUNCT
ajst-19346	144	6	sooho	sooho	NOUN
ajst-19346	144	7	,	,	PUNCT
ajst-19346	144	8	et	et	PROPN
ajst-19346	144	9	al	al	PROPN
ajst-19346	144	10	.	.	PUNCT
ajst-19346	145	1	"	"	PUNCT
ajst-19346	145	2	short	short	ADJ
ajst-19346	145	3	-	-	PUNCT
ajst-19346	145	4	term	term	NOUN
ajst-19346	145	5	event	event	NOUN
ajst-19346	145	6	prediction	prediction	NOUN
ajst-19346	145	7	in	in	ADP
ajst-19346	145	8	the	the	DET
ajst-19346	145	9	operating	operating	NOUN
ajst-19346	145	10	room	room	NOUN
ajst-19346	145	11	(	(	PUNCT
ajst-19346	145	12	step	step	NOUN
ajst-19346	145	13	-	-	PUNCT
ajst-19346	145	14	op	op	NOUN
ajst-19346	145	15	)	)	PUNCT
ajst-19346	145	16	of	of	ADP
ajst-19346	145	17	five	five	NUM
ajst-19346	145	18	-	-	PUNCT
ajst-19346	145	19	minute	minute	NOUN
ajst-19346	145	20	intraoperative	intraoperative	ADJ
ajst-19346	145	21	hypotension	hypotension	NOUN
ajst-19346	145	22	using	use	VERB
ajst-19346	145	23	hybrid	hybrid	ADJ
ajst-19346	145	24	deep	deep	ADJ
ajst-19346	145	25	learning	learning	NOUN
ajst-19346	145	26	:	:	PUNCT
ajst-19346	145	27	retrospective	retrospective	ADJ
ajst-19346	145	28	observational	observational	ADJ
ajst-19346	145	29	study	study	NOUN
ajst-19346	145	30	and	and	CCONJ
ajst-19346	145	31	model	model	NOUN
ajst-19346	145	32	development	development	NOUN
ajst-19346	145	33	.	.	PUNCT
ajst-19346	145	34	"	"	PUNCT
ajst-19346	146	1	jmir	jmir	PROPN
ajst-19346	146	2	medical	medical	ADJ
ajst-19346	146	3	informatics	informatic	NOUN
ajst-19346	146	4	9.9	9.9	NUM
ajst-19346	146	5	(	(	PUNCT
ajst-19346	146	6	2021	2021	NUM
ajst-19346	146	7	):	):	PUNCT
ajst-19346	146	8	e31311	e31311	PROPN
ajst-19346	146	9	.	.	PUNCT
ajst-19346	147	1	[	[	X
ajst-19346	147	2	6	6	NUM
ajst-19346	147	3	]	]	PUNCT
ajst-19346	147	4	moore	moore	PROPN
ajst-19346	147	5	l	l	PROPN
ajst-19346	147	6	,	,	PUNCT
ajst-19346	147	7	hanley	hanley	PROPN
ajst-19346	147	8	j	j	PROPN
ajst-19346	147	9	a	a	PROPN
ajst-19346	147	10	,	,	PUNCT
ajst-19346	147	11	lavoie	lavoie	PROPN
ajst-19346	147	12	a	a	PROPN
ajst-19346	147	13	,	,	PUNCT
ajst-19346	147	14	et	et	PROPN
ajst-19346	147	15	al	al	PROPN
ajst-19346	147	16	.	.	PUNCT
ajst-19346	147	17	evaluating	evaluate	VERB
ajst-19346	147	18	the	the	DET
ajst-19346	147	19	validity	validity	NOUN
ajst-19346	147	20	of	of	ADP
ajst-19346	147	21	multiple	multiple	ADJ
ajst-19346	147	22	imputation	imputation	NOUN
ajst-19346	147	23	for	for	ADP
ajst-19346	147	24	missing	miss	VERB
ajst-19346	147	25	physiological	physiological	ADJ
ajst-19346	147	26	data	datum	NOUN
ajst-19346	147	27	in	in	ADP
ajst-19346	147	28	the	the	DET
ajst-19346	147	29	national	national	PROPN
ajst-19346	147	30	trauma	trauma	PROPN
ajst-19346	147	31	data	datum	NOUN
ajst-19346	147	32	bank[j	bank[j	PROPN
ajst-19346	147	33	]	]	PUNCT
ajst-19346	147	34	.	.	PUNCT
ajst-19346	148	1	journal	journal	PROPN
ajst-19346	148	2	of	of	ADP
ajst-19346	148	3	emergencies	emergency	NOUN
ajst-19346	148	4	,	,	PUNCT
ajst-19346	148	5	trauma	trauma	NOUN
ajst-19346	148	6	,	,	PUNCT
ajst-19346	148	7	and	and	CCONJ
ajst-19346	148	8	shock	shock	NOUN
ajst-19346	148	9	,	,	PUNCT
ajst-19346	148	10	2009	2009	NUM
ajst-19346	148	11	,	,	PUNCT
ajst-19346	148	12	2(2	2(2	NUM
ajst-19346	148	13	):	):	PUNCT
ajst-19346	148	14	73	73	NUM
ajst-19346	148	15	-	-	SYM
ajst-19346	148	16	79	79	NUM
ajst-19346	148	17	.	.	PUNCT
ajst-19346	149	1	[	[	X
ajst-19346	149	2	7	7	NUM
ajst-19346	149	3	]	]	X
ajst-19346	149	4	choe	choe	PROPN
ajst-19346	149	5	,	,	PUNCT
ajst-19346	149	6	sooho	sooho	NOUN
ajst-19346	149	7	,	,	PUNCT
ajst-19346	149	8	et	et	PROPN
ajst-19346	149	9	al	al	PROPN
ajst-19346	149	10	.	.	PUNCT
ajst-19346	150	1	"	"	PUNCT
ajst-19346	150	2	short	short	ADJ
ajst-19346	150	3	-	-	PUNCT
ajst-19346	150	4	term	term	NOUN
ajst-19346	150	5	event	event	NOUN
ajst-19346	150	6	prediction	prediction	NOUN
ajst-19346	150	7	in	in	ADP
ajst-19346	150	8	the	the	DET
ajst-19346	150	9	operating	operating	NOUN
ajst-19346	150	10	room	room	NOUN
ajst-19346	150	11	(	(	PUNCT
ajst-19346	150	12	step	step	NOUN
ajst-19346	150	13	-	-	PUNCT
ajst-19346	150	14	op	op	NOUN
ajst-19346	150	15	)	)	PUNCT
ajst-19346	150	16	of	of	ADP
ajst-19346	150	17	five	five	NUM
ajst-19346	150	18	-	-	PUNCT
ajst-19346	150	19	minute	minute	NOUN
ajst-19346	150	20	intraoperative	intraoperative	ADJ
ajst-19346	150	21	hypotension	hypotension	NOUN
ajst-19346	150	22	using	use	VERB
ajst-19346	150	23	hybrid	hybrid	ADJ
ajst-19346	150	24	deep	deep	ADJ
ajst-19346	150	25	learning	learning	NOUN
ajst-19346	150	26	:	:	PUNCT
ajst-19346	150	27	retrospective	retrospective	ADJ
ajst-19346	150	28	observational	observational	ADJ
ajst-19346	150	29	study	study	NOUN
ajst-19346	150	30	and	and	CCONJ
ajst-19346	150	31	model	model	NOUN
ajst-19346	150	32	development	development	NOUN
ajst-19346	150	33	.	.	PUNCT
ajst-19346	150	34	"	"	PUNCT
ajst-19346	151	1	jmir	jmir	PROPN
ajst-19346	151	2	medical	medical	ADJ
ajst-19346	151	3	informatics	informatic	NOUN
ajst-19346	151	4	9.9	9.9	NUM
ajst-19346	151	5	(	(	PUNCT
ajst-19346	151	6	2021	2021	NUM
ajst-19346	151	7	):	):	PUNCT
ajst-19346	151	8	e31311	e31311	PROPN
ajst-19346	151	9	.	.	PUNCT
ajst-19346	152	1	[	[	X
ajst-19346	152	2	8	8	X
ajst-19346	152	3	]	]	X
ajst-19346	152	4	ribeiro	ribeiro	PROPN
ajst-19346	152	5	s	s	PROPN
ajst-19346	152	6	m	m	PROPN
ajst-19346	152	7	,	,	PUNCT
ajst-19346	152	8	de	de	PROPN
ajst-19346	152	9	castro	castro	PROPN
ajst-19346	152	10	c	c	AUX
ajst-19346	152	11	l.	l.	PROPN
ajst-19346	152	12	missing	miss	VERB
ajst-19346	152	13	data	datum	NOUN
ajst-19346	152	14	in	in	ADP
ajst-19346	152	15	time	time	NOUN
ajst-19346	152	16	series	series	PROPN
ajst-19346	152	17	:	:	PUNCT
ajst-19346	152	18	a	a	DET
ajst-19346	152	19	review	review	NOUN
ajst-19346	152	20	of	of	ADP
ajst-19346	152	21	imputation	imputation	NOUN
ajst-19346	152	22	methods	method	NOUN
ajst-19346	152	23	and	and	CCONJ
ajst-19346	152	24	case	case	NOUN
ajst-19346	152	25	study[j	study[j	NOUN
ajst-19346	152	26	]	]	PUNCT
ajst-19346	152	27	.	.	PUNCT
ajst-19346	153	1	learning	learning	NOUN
ajst-19346	153	2	and	and	CCONJ
ajst-19346	153	3	nonlinear	nonlinear	ADJ
ajst-19346	153	4	models	model	NOUN
ajst-19346	153	5	-	-	PUNCT
ajst-19346	153	6	revista	revista	ADJ
ajst-19346	153	7	da	da	PROPN
ajst-19346	153	8	sociedade	sociedade	PROPN
ajst-19346	153	9	brasileira	brasileira	PROPN
ajst-19346	153	10	de	de	PROPN
ajst-19346	153	11	redes	redes	PROPN
ajst-19346	153	12	neurais	neurais	PROPN
ajst-19346	153	13	-	-	PUNCT
ajst-19346	153	14	special	special	ADJ
ajst-19346	153	15	issue	issue	NOUN
ajst-19346	153	16	:	:	PUNCT
ajst-19346	153	17	time	time	NOUN
ajst-19346	153	18	series	series	NOUN
ajst-19346	153	19	analysis	analysis	NOUN
ajst-19346	153	20	and	and	CCONJ
ajst-19346	153	21	forecasting	forecasting	NOUN
ajst-19346	153	22	using	use	VERB
ajst-19346	153	23	computational	computational	ADJ
ajst-19346	153	24	intelligence	intelligence	NOUN
ajst-19346	153	25	,	,	PUNCT
ajst-19346	153	26	2021	2021	NUM
ajst-19346	153	27	,	,	PUNCT
ajst-19346	153	28	19(2	19(2	NUM
ajst-19346	153	29	)	)	PUNCT
ajst-19346	153	30	.	.	PUNCT
ajst-19346	154	1	[	[	X
ajst-19346	154	2	9	9	NUM
ajst-19346	154	3	]	]	X
ajst-19346	154	4	ahn	ahn	NOUN
ajst-19346	154	5	h	h	PROPN
ajst-19346	154	6	,	,	PUNCT
ajst-19346	154	7	sun	sun	PROPN
ajst-19346	154	8	k	k	PROPN
ajst-19346	154	9	,	,	PUNCT
ajst-19346	154	10	kim	kim	PROPN
ajst-19346	155	1	k	k	PROPN
ajst-19346	155	2	p.	p.	PROPN
ajst-19346	155	3	comparison	comparison	NOUN
ajst-19346	155	4	of	of	ADP
ajst-19346	155	5	missing	miss	VERB
ajst-19346	155	6	data	data	NOUN
ajst-19346	155	7	imputation	imputation	NOUN
ajst-19346	155	8	methods	method	NOUN
ajst-19346	155	9	in	in	ADP
ajst-19346	155	10	time	time	NOUN
ajst-19346	155	11	series	series	PROPN
ajst-19346	155	12	forecasting[j	forecasting[j	PROPN
ajst-19346	155	13	]	]	PUNCT
ajst-19346	155	14	.	.	PUNCT
ajst-19346	156	1	computers	computer	NOUN
ajst-19346	156	2	,	,	PUNCT
ajst-19346	156	3	materials	material	NOUN
ajst-19346	156	4	&	&	CCONJ
ajst-19346	156	5	continua	continuum	NOUN
ajst-19346	156	6	,	,	PUNCT
ajst-19346	156	7	2022	2022	NUM
ajst-19346	156	8	,	,	PUNCT
ajst-19346	156	9	70(1	70(1	NUM
ajst-19346	156	10	):	):	PUNCT
ajst-19346	156	11	767	767	NUM
ajst-19346	156	12	-	-	SYM
ajst-19346	156	13	779	779	NUM
ajst-19346	156	14	.	.	PUNCT
ajst-19346	157	1	[	[	X
ajst-19346	157	2	10	10	NUM
ajst-19346	157	3	]	]	X
ajst-19346	157	4	fang	fang	X
ajst-19346	157	5	c	c	PROPN
ajst-19346	157	6	,	,	PUNCT
ajst-19346	157	7	wang	wang	PROPN
ajst-19346	157	8	c.	c.	PROPN
ajst-19346	157	9	time	time	PROPN
ajst-19346	157	10	series	series	PROPN
ajst-19346	157	11	data	datum	NOUN
ajst-19346	157	12	imputation	imputation	NOUN
ajst-19346	157	13	:	:	PUNCT
ajst-19346	157	14	a	a	DET
ajst-19346	157	15	survey	survey	NOUN
ajst-19346	157	16	on	on	ADP
ajst-19346	157	17	deep	deep	ADJ
ajst-19346	157	18	learning	learn	VERB
ajst-19346	157	19	approaches[j	approaches[j	PROPN
ajst-19346	157	20	]	]	PUNCT
ajst-19346	157	21	.	.	PUNCT
ajst-19346	158	1	arxiv	arxiv	PROPN
ajst-19346	158	2	preprint	preprint	PROPN
ajst-19346	158	3	arxiv:2011.11347	arxiv:2011.11347	NOUN
ajst-19346	158	4	,	,	PUNCT
ajst-19346	158	5	2020	2020	NUM
ajst-19346	158	6	.	.	PUNCT
ajst-19346	159	1	472	472	NUM
ajst-19346	160	1	[	[	X
ajst-19346	160	2	11	11	NUM
ajst-19346	160	3	]	]	X
ajst-19346	160	4	wang	wang	PROPN
ajst-19346	160	5	j	j	PROPN
ajst-19346	160	6	,	,	PUNCT
ajst-19346	160	7	du	du	PROPN
ajst-19346	160	8	w	w	PROPN
ajst-19346	160	9	,	,	PUNCT
ajst-19346	160	10	cao	cao	PROPN
ajst-19346	160	11	w	w	PROPN
ajst-19346	160	12	,	,	PUNCT
ajst-19346	160	13	et	et	PROPN
ajst-19346	160	14	al	al	PROPN
ajst-19346	160	15	.	.	PUNCT
ajst-19346	161	1	deep	deep	ADJ
ajst-19346	161	2	learning	learning	NOUN
ajst-19346	161	3	for	for	ADP
ajst-19346	161	4	multivariate	multivariate	NOUN
ajst-19346	161	5	time	time	NOUN
ajst-19346	161	6	series	series	NOUN
ajst-19346	161	7	imputation	imputation	NOUN
ajst-19346	161	8	:	:	PUNCT
ajst-19346	161	9	a	a	DET
ajst-19346	161	10	survey[j	survey[j	PROPN
ajst-19346	161	11	]	]	PUNCT
ajst-19346	161	12	.	.	PUNCT
ajst-19346	162	1	arxiv	arxiv	PROPN
ajst-19346	162	2	preprint	preprint	PROPN
ajst-19346	162	3	arxiv:2402.04059	arxiv:2402.04059	PROPN
ajst-19346	162	4	,	,	PUNCT
ajst-19346	162	5	2024	2024	NUM
ajst-19346	162	6	.	.	PUNCT
ajst-19346	163	1	[	[	X
ajst-19346	163	2	12	12	NUM
ajst-19346	163	3	]	]	X
ajst-19346	163	4	cao	cao	PROPN
ajst-19346	163	5	w	w	PROPN
ajst-19346	163	6	,	,	PUNCT
ajst-19346	163	7	wang	wang	PROPN
ajst-19346	163	8	d	d	PROPN
ajst-19346	163	9	,	,	PUNCT
ajst-19346	163	10	li	li	PROPN
ajst-19346	163	11	j	j	PROPN
ajst-19346	163	12	,	,	PUNCT
ajst-19346	163	13	et	et	PROPN
ajst-19346	163	14	al.brits	al.brit	NOUN
ajst-19346	163	15	:	:	PUNCT
ajst-19346	163	16	bidirectional	bidirectional	ADJ
ajst-19346	163	17	recurrent	recurrent	ADJ
ajst-19346	163	18	imputation	imputation	NOUN
ajst-19346	163	19	for	for	ADP
ajst-19346	163	20	time	time	NOUN
ajst-19346	163	21	series[j	series[j	PROPN
ajst-19346	163	22	]	]	PUNCT
ajst-19346	163	23	.	.	PUNCT
ajst-19346	164	1	2018.doi:10.48550	2018.doi:10.48550	NUM
ajst-19346	164	2	/	/	SYM
ajst-19346	164	3	arxiv.1805.10572	arxiv.1805.10572	NOUN
ajst-19346	164	4	.	.	PUNCT
ajst-19346	165	1	[	[	X
ajst-19346	165	2	13	13	NUM
ajst-19346	165	3	]	]	X
ajst-19346	165	4	chaudhari	chaudhari	PROPN
ajst-19346	165	5	s	s	PROPN
ajst-19346	165	6	,	,	PUNCT
ajst-19346	165	7	mithal	mithal	NOUN
ajst-19346	165	8	v	v	NOUN
ajst-19346	165	9	,	,	PUNCT
ajst-19346	165	10	polatkan	polatkan	ADJ
ajst-19346	165	11	g	g	PROPN
ajst-19346	165	12	,	,	PUNCT
ajst-19346	165	13	et	et	PROPN
ajst-19346	165	14	al	al	PROPN
ajst-19346	165	15	.	.	PUNCT
ajst-19346	166	1	an	an	DET
ajst-19346	166	2	attentive	attentive	ADJ
ajst-19346	166	3	survey	survey	NOUN
ajst-19346	166	4	of	of	ADP
ajst-19346	166	5	attention	attention	NOUN
ajst-19346	166	6	models[j	models[j	PROPN
ajst-19346	166	7	]	]	PUNCT
ajst-19346	166	8	.	.	PUNCT
ajst-19346	167	1	acm	acm	PROPN
ajst-19346	167	2	transactions	transaction	NOUN
ajst-19346	167	3	on	on	ADP
ajst-19346	167	4	intelligent	intelligent	ADJ
ajst-19346	167	5	systems	system	NOUN
ajst-19346	167	6	and	and	CCONJ
ajst-19346	167	7	technology	technology	NOUN
ajst-19346	167	8	(	(	PUNCT
ajst-19346	167	9	tist	tist	NOUN
ajst-19346	167	10	)	)	PUNCT
ajst-19346	167	11	,	,	PUNCT
ajst-19346	167	12	2021	2021	NUM
ajst-19346	167	13	,	,	PUNCT
ajst-19346	167	14	12(5	12(5	NUM
ajst-19346	167	15	):	):	PUNCT
ajst-19346	167	16	1	1	NUM
ajst-19346	167	17	-	-	SYM
ajst-19346	167	18	32	32	NUM
ajst-19346	167	19	.	.	PUNCT
ajst-19346	168	1	[	[	X
ajst-19346	168	2	14	14	NUM
ajst-19346	168	3	]	]	PUNCT
ajst-19346	168	4	galassi	galassi	NOUN
ajst-19346	168	5	a	a	PROPN
ajst-19346	168	6	,	,	PUNCT
ajst-19346	168	7	lippi	lippi	PROPN
ajst-19346	168	8	m	m	PROPN
ajst-19346	168	9	,	,	PUNCT
ajst-19346	168	10	torroni	torroni	ADJ
ajst-19346	168	11	p.	p.	NOUN
ajst-19346	168	12	attention	attention	NOUN
ajst-19346	168	13	in	in	ADP
ajst-19346	168	14	natural	natural	ADJ
ajst-19346	168	15	language	language	NOUN
ajst-19346	168	16	processing[j	processing[j	NOUN
ajst-19346	168	17	]	]	PUNCT
ajst-19346	168	18	.	.	PUNCT
ajst-19346	169	1	ieee	ieee	NOUN
ajst-19346	169	2	transactions	transaction	NOUN
ajst-19346	169	3	on	on	ADP
ajst-19346	169	4	neural	neural	ADJ
ajst-19346	169	5	networks	network	NOUN
ajst-19346	169	6	and	and	CCONJ
ajst-19346	169	7	learning	learning	NOUN
ajst-19346	169	8	systems	system	NOUN
ajst-19346	169	9	,	,	PUNCT
ajst-19346	169	10	2020	2020	NUM
ajst-19346	169	11	,	,	PUNCT
ajst-19346	169	12	32(10	32(10	NUM
ajst-19346	169	13	):	):	PUNCT
ajst-19346	169	14	4291	4291	NUM
ajst-19346	169	15	-	-	SYM
ajst-19346	169	16	4308	4308	NUM
ajst-19346	169	17	.	.	PUNCT
ajst-19346	170	1	[	[	X
ajst-19346	170	2	15	15	NUM
ajst-19346	170	3	]	]	X
ajst-19346	170	4	wu	wu	PROPN
ajst-19346	170	5	h	h	PROPN
ajst-19346	170	6	,	,	PUNCT
ajst-19346	170	7	xu	xu	PROPN
ajst-19346	170	8	j	j	PROPN
ajst-19346	170	9	,	,	PUNCT
ajst-19346	170	10	wang	wang	PROPN
ajst-19346	170	11	j	j	PROPN
ajst-19346	170	12	,	,	PUNCT
ajst-19346	170	13	et	et	PROPN
ajst-19346	170	14	al	al	PROPN
ajst-19346	170	15	.	.	PUNCT
ajst-19346	170	16	autoformer	autoformer	PROPN
ajst-19346	170	17	:	:	PUNCT
ajst-19346	170	18	decomposition	decomposition	NOUN
ajst-19346	170	19	transformers	transformer	NOUN
ajst-19346	170	20	with	with	ADP
ajst-19346	170	21	auto	auto	NOUN
ajst-19346	170	22	-	-	PUNCT
ajst-19346	170	23	correlation	correlation	NOUN
ajst-19346	170	24	for	for	ADP
ajst-19346	170	25	long	long	ADJ
ajst-19346	170	26	-	-	PUNCT
ajst-19346	170	27	term	term	NOUN
ajst-19346	170	28	series	series	NOUN
ajst-19346	170	29	forecasting[j	forecasting[j	NOUN
ajst-19346	170	30	]	]	PUNCT
ajst-19346	170	31	.	.	PUNCT
ajst-19346	171	1	advances	advance	NOUN
ajst-19346	171	2	in	in	ADP
ajst-19346	171	3	neural	neural	ADJ
ajst-19346	171	4	information	information	NOUN
ajst-19346	171	5	processing	processing	NOUN
ajst-19346	171	6	systems	system	NOUN
ajst-19346	171	7	,	,	PUNCT
ajst-19346	171	8	2021	2021	NUM
ajst-19346	171	9	,	,	PUNCT
ajst-19346	171	10	34	34	NUM
ajst-19346	171	11	:	:	SYM
ajst-19346	171	12	22419	22419	NUM
ajst-19346	171	13	-	-	SYM
ajst-19346	171	14	22430	22430	NUM
ajst-19346	171	15	.	.	PUNCT
ajst-19346	172	1	[	[	X
ajst-19346	172	2	16	16	NUM
ajst-19346	172	3	]	]	X
ajst-19346	172	4	shukla	shukla	PROPN
ajst-19346	172	5	s	s	PART
ajst-19346	172	6	n	n	NOUN
ajst-19346	172	7	,	,	PUNCT
ajst-19346	172	8	marlin	marlin	PROPN
ajst-19346	172	9	b	b	PROPN
ajst-19346	172	10	m.	m.	NOUN
ajst-19346	172	11	multi	multi	ADJ
ajst-19346	172	12	-	-	ADJ
ajst-19346	172	13	time	time	ADJ
ajst-19346	172	14	attention	attention	NOUN
ajst-19346	172	15	networks	network	NOUN
ajst-19346	172	16	for	for	ADP
ajst-19346	172	17	irregularly	irregularly	ADV
ajst-19346	172	18	sampled	sample	VERB
ajst-19346	172	19	time	time	NOUN
ajst-19346	172	20	series[j	series[j	PROPN
ajst-19346	172	21	]	]	PUNCT
ajst-19346	172	22	.	.	PUNCT
ajst-19346	173	1	arxiv	arxiv	PROPN
ajst-19346	173	2	preprint	preprint	PROPN
ajst-19346	173	3	arxiv:2101.10318	arxiv:2101.10318	PROPN
ajst-19346	173	4	,	,	PUNCT
ajst-19346	173	5	2021	2021	NUM
ajst-19346	173	6	.	.	PUNCT
ajst-19346	174	1	[	[	X
ajst-19346	174	2	17	17	NUM
ajst-19346	174	3	]	]	X
ajst-19346	174	4	du	du	PROPN
ajst-19346	174	5	w	w	PROPN
ajst-19346	174	6	,	,	PUNCT
ajst-19346	174	7	côté	côté	PROPN
ajst-19346	174	8	d	d	PROPN
ajst-19346	174	9	,	,	PUNCT
ajst-19346	174	10	liu	liu	PROPN
ajst-19346	174	11	y.	y.	PROPN
ajst-19346	174	12	saits	saits	PROPN
ajst-19346	174	13	:	:	PUNCT
ajst-19346	174	14	self	self	NOUN
ajst-19346	174	15	-	-	PUNCT
ajst-19346	174	16	attention	attention	NOUN
ajst-19346	174	17	-	-	PUNCT
ajst-19346	174	18	based	base	VERB
ajst-19346	174	19	imputation	imputation	NOUN
ajst-19346	174	20	for	for	ADP
ajst-19346	174	21	time	time	NOUN
ajst-19346	174	22	series[j	series[j	PROPN
ajst-19346	174	23	]	]	PUNCT
ajst-19346	174	24	.	.	PUNCT
ajst-19346	175	1	expert	expert	NOUN
ajst-19346	175	2	systems	system	NOUN
ajst-19346	175	3	with	with	ADP
ajst-19346	175	4	applications	application	NOUN
ajst-19346	175	5	,	,	PUNCT
ajst-19346	175	6	2023	2023	NUM
ajst-19346	175	7	,	,	PUNCT
ajst-19346	175	8	219	219	NUM
ajst-19346	175	9	:	:	SYM
ajst-19346	175	10	119619	119619	NUM
ajst-19346	175	11	.	.	PUNCT