id	sid	tid	token	lemma	pos
ajst-18324	1	1	academic	academic	ADJ
ajst-18324	1	2	journal	journal	NOUN
ajst-18324	1	3	of	of	ADP
ajst-18324	1	4	science	science	NOUN
ajst-18324	1	5	and	and	CCONJ
ajst-18324	1	6	technology	technology	NOUN
ajst-18324	1	7	issn	issn	NOUN
ajst-18324	1	8	:	:	PUNCT
ajst-18324	1	9	2771	2771	NUM
ajst-18324	1	10	-	-	SYM
ajst-18324	1	11	3032	3032	NUM
ajst-18324	1	12	|	|	NOUN
ajst-18324	1	13	vol	vol	NOUN
ajst-18324	1	14	.	.	PROPN
ajst-18324	2	1	9	9	NUM
ajst-18324	2	2	,	,	PUNCT
ajst-18324	2	3	no	no	INTJ
ajst-18324	2	4	.	.	NOUN
ajst-18324	2	5	3	3	NUM
ajst-18324	2	6	,	,	PUNCT
ajst-18324	2	7	2024	2024	NUM
ajst-18324	2	8	51	51	NUM
ajst-18324	2	9	prediction	prediction	NOUN
ajst-18324	2	10	of	of	ADP
ajst-18324	2	11	postoperative	postoperative	ADJ
ajst-18324	2	12	survival	survival	NOUN
ajst-18324	2	13	time	time	NOUN
ajst-18324	2	14	of	of	ADP
ajst-18324	2	15	hepatocellular	hepatocellular	ADJ
ajst-18324	2	16	carcinoma	carcinoma	NOUN
ajst-18324	2	17	patients	patient	NOUN
ajst-18324	2	18	based	base	VERB
ajst-18324	2	19	on	on	ADP
ajst-18324	2	20	machine	machine	NOUN
ajst-18324	2	21	learning	learn	VERB
ajst-18324	2	22	zhiyao	zhiyao	PROPN
ajst-18324	2	23	wang1	wang1	PROPN
ajst-18324	2	24	,	,	PUNCT
ajst-18324	2	25	*	*	PROPN
ajst-18324	2	26	1chongqing	1chongqing	NUM
ajst-18324	2	27	university	university	NOUN
ajst-18324	2	28	of	of	ADP
ajst-18324	2	29	posts	post	NOUN
ajst-18324	2	30	and	and	CCONJ
ajst-18324	2	31	telecommunications	telecommunication	NOUN
ajst-18324	2	32	,	,	PUNCT
ajst-18324	2	33	chongqing	chongqing	PROPN
ajst-18324	2	34	,	,	PUNCT
ajst-18324	2	35	400065	400065	NUM
ajst-18324	2	36	,	,	PUNCT
ajst-18324	2	37	china	china	PROPN
ajst-18324	2	38	*	*	PUNCT
ajst-18324	2	39	corresponding	correspond	VERB
ajst-18324	2	40	author	author	NOUN
ajst-18324	2	41	’s	’s	PART
ajst-18324	2	42	e	e	NOUN
ajst-18324	2	43	-	-	NOUN
ajst-18324	2	44	mail	mail	NOUN
ajst-18324	2	45	:	:	PUNCT
ajst-18324	2	46	wzy040429@outlook.com	wzy040429@outlook.com	X
ajst-18324	3	1	abstract	abstract	NOUN
ajst-18324	3	2	:	:	PUNCT
ajst-18324	3	3	the	the	DET
ajst-18324	3	4	survival	survival	NOUN
ajst-18324	3	5	rate	rate	NOUN
ajst-18324	3	6	of	of	ADP
ajst-18324	3	7	patients	patient	NOUN
ajst-18324	3	8	with	with	ADP
ajst-18324	3	9	primary	primary	ADJ
ajst-18324	3	10	liver	liver	NOUN
ajst-18324	3	11	cancer	cancer	NOUN
ajst-18324	3	12	after	after	ADP
ajst-18324	3	13	operation	operation	NOUN
ajst-18324	3	14	is	be	AUX
ajst-18324	3	15	very	very	ADV
ajst-18324	3	16	low	low	ADJ
ajst-18324	3	17	.	.	PUNCT
ajst-18324	4	1	accurate	accurate	ADJ
ajst-18324	4	2	prediction	prediction	NOUN
ajst-18324	4	3	of	of	ADP
ajst-18324	4	4	postoperative	postoperative	ADJ
ajst-18324	4	5	survival	survival	NOUN
ajst-18324	4	6	of	of	ADP
ajst-18324	4	7	cancer	cancer	NOUN
ajst-18324	4	8	patients	patient	NOUN
ajst-18324	4	9	plays	play	VERB
ajst-18324	4	10	a	a	DET
ajst-18324	4	11	key	key	ADJ
ajst-18324	4	12	role	role	NOUN
ajst-18324	4	13	in	in	ADP
ajst-18324	4	14	the	the	DET
ajst-18324	4	15	whole	whole	ADJ
ajst-18324	4	16	treatment	treatment	NOUN
ajst-18324	4	17	period	period	NOUN
ajst-18324	4	18	,	,	PUNCT
ajst-18324	4	19	both	both	PRON
ajst-18324	4	20	for	for	ADP
ajst-18324	4	21	patients	patient	NOUN
ajst-18324	4	22	and	and	CCONJ
ajst-18324	4	23	medical	medical	ADJ
ajst-18324	4	24	staff	staff	NOUN
ajst-18324	4	25	.	.	PUNCT
ajst-18324	5	1	for	for	ADP
ajst-18324	5	2	cancer	cancer	NOUN
ajst-18324	5	3	patients	patient	NOUN
ajst-18324	5	4	,	,	PUNCT
ajst-18324	5	5	accurate	accurate	ADJ
ajst-18324	5	6	prediction	prediction	NOUN
ajst-18324	5	7	of	of	ADP
ajst-18324	5	8	survival	survival	NOUN
ajst-18324	5	9	time	time	NOUN
ajst-18324	5	10	can	can	AUX
ajst-18324	5	11	make	make	VERB
ajst-18324	5	12	patients	patient	NOUN
ajst-18324	5	13	have	have	VERB
ajst-18324	5	14	a	a	DET
ajst-18324	5	15	positive	positive	ADJ
ajst-18324	5	16	and	and	CCONJ
ajst-18324	5	17	optimistic	optimistic	ADJ
ajst-18324	5	18	attitude	attitude	NOUN
ajst-18324	5	19	when	when	SCONJ
ajst-18324	5	20	fighting	fight	VERB
ajst-18324	5	21	against	against	ADP
ajst-18324	5	22	the	the	DET
ajst-18324	5	23	disease	disease	NOUN
ajst-18324	5	24	,	,	PUNCT
ajst-18324	5	25	and	and	CCONJ
ajst-18324	5	26	can	can	AUX
ajst-18324	5	27	also	also	ADV
ajst-18324	5	28	reasonably	reasonably	ADV
ajst-18324	5	29	plan	plan	VERB
ajst-18324	5	30	the	the	DET
ajst-18324	5	31	rest	rest	NOUN
ajst-18324	5	32	of	of	ADP
ajst-18324	5	33	life	life	NOUN
ajst-18324	5	34	to	to	PART
ajst-18324	5	35	realize	realize	VERB
ajst-18324	5	36	some	some	DET
ajst-18324	5	37	wishes	wish	NOUN
ajst-18324	5	38	.	.	PUNCT
ajst-18324	6	1	for	for	ADP
ajst-18324	6	2	medical	medical	ADJ
ajst-18324	6	3	staff	staff	NOUN
ajst-18324	6	4	,	,	PUNCT
ajst-18324	6	5	doctors	doctor	NOUN
ajst-18324	6	6	can	can	AUX
ajst-18324	6	7	only	only	ADV
ajst-18324	6	8	predict	predict	VERB
ajst-18324	6	9	the	the	DET
ajst-18324	6	10	survival	survival	NOUN
ajst-18324	6	11	time	time	NOUN
ajst-18324	6	12	of	of	ADP
ajst-18324	6	13	patients	patient	NOUN
ajst-18324	6	14	through	through	ADP
ajst-18324	6	15	their	their	PRON
ajst-18324	6	16	experience	experience	NOUN
ajst-18324	6	17	before	before	ADV
ajst-18324	6	18	,	,	PUNCT
ajst-18324	6	19	and	and	CCONJ
ajst-18324	6	20	patients	patient	NOUN
ajst-18324	6	21	'	'	PART
ajst-18324	6	22	expectations	expectation	NOUN
ajst-18324	6	23	for	for	ADP
ajst-18324	6	24	curing	cure	VERB
ajst-18324	6	25	diseases	disease	NOUN
ajst-18324	6	26	are	be	AUX
ajst-18324	6	27	generally	generally	ADV
ajst-18324	6	28	high	high	ADJ
ajst-18324	6	29	.	.	PUNCT
ajst-18324	7	1	accurate	accurate	ADJ
ajst-18324	7	2	survival	survival	NOUN
ajst-18324	7	3	prediction	prediction	NOUN
ajst-18324	7	4	can	can	AUX
ajst-18324	7	5	avoid	avoid	VERB
ajst-18324	7	6	the	the	DET
ajst-18324	7	7	contradiction	contradiction	NOUN
ajst-18324	7	8	between	between	ADP
ajst-18324	7	9	doctors	doctor	NOUN
ajst-18324	7	10	and	and	CCONJ
ajst-18324	7	11	patients	patient	NOUN
ajst-18324	7	12	.	.	PUNCT
ajst-18324	8	1	according	accord	VERB
ajst-18324	8	2	to	to	ADP
ajst-18324	8	3	the	the	DET
ajst-18324	8	4	difference	difference	NOUN
ajst-18324	8	5	of	of	ADP
ajst-18324	8	6	prognosis	prognosis	NOUN
ajst-18324	8	7	of	of	ADP
ajst-18324	8	8	patients	patient	NOUN
ajst-18324	8	9	with	with	ADP
ajst-18324	8	10	clinical	clinical	ADJ
ajst-18324	8	11	data	datum	NOUN
ajst-18324	8	12	,	,	PUNCT
ajst-18324	8	13	medical	medical	ADJ
ajst-18324	8	14	staff	staff	NOUN
ajst-18324	8	15	can	can	AUX
ajst-18324	8	16	make	make	VERB
ajst-18324	8	17	individualized	individualized	ADJ
ajst-18324	8	18	postoperative	postoperative	ADJ
ajst-18324	8	19	treatment	treatment	NOUN
ajst-18324	8	20	plan	plan	NOUN
ajst-18324	8	21	for	for	SCONJ
ajst-18324	8	22	patients	patient	NOUN
ajst-18324	8	23	to	to	PART
ajst-18324	8	24	prolong	prolong	VERB
ajst-18324	8	25	the	the	DET
ajst-18324	8	26	survival	survival	NOUN
ajst-18324	8	27	time	time	NOUN
ajst-18324	8	28	of	of	ADP
ajst-18324	8	29	patients	patient	NOUN
ajst-18324	8	30	.	.	PUNCT
ajst-18324	9	1	to	to	PART
ajst-18324	9	2	sum	sum	VERB
ajst-18324	9	3	up	up	ADP
ajst-18324	9	4	,	,	PUNCT
ajst-18324	9	5	it	it	PRON
ajst-18324	9	6	is	be	AUX
ajst-18324	9	7	necessary	necessary	ADJ
ajst-18324	9	8	to	to	PART
ajst-18324	9	9	accurately	accurately	ADV
ajst-18324	9	10	predict	predict	VERB
ajst-18324	9	11	the	the	DET
ajst-18324	9	12	postoperative	postoperative	ADJ
ajst-18324	9	13	survival	survival	NOUN
ajst-18324	9	14	time	time	NOUN
ajst-18324	9	15	of	of	ADP
ajst-18324	9	16	patients	patient	NOUN
ajst-18324	9	17	through	through	ADP
ajst-18324	9	18	clinical	clinical	ADJ
ajst-18324	9	19	data	datum	NOUN
ajst-18324	9	20	.	.	PUNCT
ajst-18324	10	1	in	in	ADP
ajst-18324	10	2	this	this	DET
ajst-18324	10	3	paper	paper	NOUN
ajst-18324	10	4	,	,	PUNCT
ajst-18324	10	5	survival	survival	NOUN
ajst-18324	10	6	time	time	NOUN
ajst-18324	10	7	of	of	ADP
ajst-18324	10	8	437	437	NUM
ajst-18324	10	9	hepatocellular	hepatocellular	ADJ
ajst-18324	10	10	carcinoma	carcinoma	NOUN
ajst-18324	10	11	patients	patient	NOUN
ajst-18324	10	12	was	be	AUX
ajst-18324	10	13	divided	divide	VERB
ajst-18324	10	14	into	into	ADP
ajst-18324	10	15	1	1	NUM
ajst-18324	10	16	,	,	PUNCT
ajst-18324	10	17	3	3	NUM
ajst-18324	10	18	,	,	PUNCT
ajst-18324	10	19	5	5	NUM
ajst-18324	10	20	years	year	NOUN
ajst-18324	10	21	and	and	CCONJ
ajst-18324	10	22	the	the	DET
ajst-18324	10	23	unbalanced	unbalanced	ADJ
ajst-18324	10	24	data	datum	NOUN
ajst-18324	10	25	set	set	VERB
ajst-18324	10	26	is	be	AUX
ajst-18324	10	27	oversampled	oversample	VERB
ajst-18324	10	28	and	and	CCONJ
ajst-18324	10	29	shuffled	shuffle	VERB
ajst-18324	10	30	.	.	PUNCT
ajst-18324	11	1	then	then	ADV
ajst-18324	11	2	784	784	NUM
ajst-18324	11	3	samples	sample	NOUN
ajst-18324	11	4	are	be	AUX
ajst-18324	11	5	divided	divide	VERB
ajst-18324	11	6	into	into	ADP
ajst-18324	11	7	training	training	NOUN
ajst-18324	11	8	set	set	NOUN
ajst-18324	11	9	and	and	CCONJ
ajst-18324	11	10	test	test	NOUN
ajst-18324	11	11	set	set	VERB
ajst-18324	11	12	by	by	ADP
ajst-18324	11	13	ten	ten	NUM
ajst-18324	11	14	fold	fold	PROPN
ajst-18324	11	15	cross	cross	NOUN
ajst-18324	11	16	validation	validation	NOUN
ajst-18324	11	17	.	.	PUNCT
ajst-18324	12	1	six	six	NUM
ajst-18324	12	2	machine	machine	NOUN
ajst-18324	12	3	learning	learn	VERB
ajst-18324	12	4	algorithms	algorithm	NOUN
ajst-18324	12	5	,	,	PUNCT
ajst-18324	12	6	were	be	AUX
ajst-18324	12	7	used	use	VERB
ajst-18324	12	8	to	to	PART
ajst-18324	12	9	predict	predict	VERB
ajst-18324	12	10	the	the	DET
ajst-18324	12	11	postoperative	postoperative	ADJ
ajst-18324	12	12	survival	survival	NOUN
ajst-18324	12	13	time	time	NOUN
ajst-18324	12	14	of	of	ADP
ajst-18324	12	15	patients	patient	NOUN
ajst-18324	12	16	.	.	PUNCT
ajst-18324	13	1	the	the	DET
ajst-18324	13	2	performance	performance	NOUN
ajst-18324	13	3	of	of	ADP
ajst-18324	13	4	the	the	DET
ajst-18324	13	5	model	model	NOUN
ajst-18324	13	6	is	be	AUX
ajst-18324	13	7	evaluated	evaluate	VERB
ajst-18324	13	8	by	by	ADP
ajst-18324	13	9	calculating	calculate	VERB
ajst-18324	13	10	the	the	DET
ajst-18324	13	11	accuracy	accuracy	NOUN
ajst-18324	13	12	.	.	PUNCT
ajst-18324	14	1	the	the	DET
ajst-18324	14	2	optimal	optimal	ADJ
ajst-18324	14	3	machine	machine	NOUN
ajst-18324	14	4	learning	learning	NOUN
ajst-18324	14	5	model	model	NOUN
ajst-18324	14	6	is	be	AUX
ajst-18324	14	7	selected	select	VERB
ajst-18324	14	8	and	and	CCONJ
ajst-18324	14	9	the	the	DET
ajst-18324	14	10	xgboost	xgboost	PROPN
ajst-18324	14	11	algorithm	algorithm	PROPN
ajst-18324	14	12	will	will	AUX
ajst-18324	14	13	be	be	AUX
ajst-18324	14	14	further	far	ADV
ajst-18324	14	15	optimized	optimize	VERB
ajst-18324	14	16	by	by	ADP
ajst-18324	14	17	grid	grid	NOUN
ajst-18324	14	18	search	search	NOUN
ajst-18324	14	19	.	.	PUNCT
ajst-18324	15	1	finally	finally	ADV
ajst-18324	15	2	,	,	PUNCT
ajst-18324	15	3	the	the	DET
ajst-18324	15	4	survival	survival	NOUN
ajst-18324	15	5	time	time	NOUN
ajst-18324	15	6	of	of	ADP
ajst-18324	15	7	hepatocellular	hepatocellular	ADJ
ajst-18324	15	8	carcinoma	carcinoma	NOUN
ajst-18324	15	9	patients	patient	NOUN
ajst-18324	15	10	will	will	AUX
ajst-18324	15	11	be	be	AUX
ajst-18324	15	12	well	well	ADV
ajst-18324	15	13	predicted	predict	VERB
ajst-18324	15	14	.	.	PUNCT
ajst-18324	16	1	keywords	keyword	NOUN
ajst-18324	16	2	:	:	PUNCT
ajst-18324	16	3	primary	primary	ADJ
ajst-18324	16	4	hepatocellular	hepatocellular	ADJ
ajst-18324	16	5	carcinoma	carcinoma	NOUN
ajst-18324	16	6	;	;	PUNCT
ajst-18324	16	7	unbalanced	unbalanced	ADJ
ajst-18324	16	8	datasets	dataset	NOUN
ajst-18324	16	9	;	;	PUNCT
ajst-18324	16	10	xgboost	xgboost	X
ajst-18324	16	11	algorithm	algorithm	NOUN
ajst-18324	16	12	;	;	PUNCT
ajst-18324	16	13	prediction	prediction	NOUN
ajst-18324	16	14	model	model	NOUN
ajst-18324	16	15	of	of	ADP
ajst-18324	16	16	postoperative	postoperative	ADJ
ajst-18324	16	17	survival	survival	NOUN
ajst-18324	16	18	time	time	NOUN
ajst-18324	16	19	.	.	PUNCT
ajst-18324	17	1	1	1	X
ajst-18324	17	2	.	.	X
ajst-18324	17	3	introduction	introduction	NOUN
ajst-18324	17	4	liver	liver	NOUN
ajst-18324	17	5	cancer	cancer	NOUN
ajst-18324	17	6	is	be	AUX
ajst-18324	17	7	one	one	NUM
ajst-18324	17	8	of	of	ADP
ajst-18324	17	9	the	the	DET
ajst-18324	17	10	most	most	ADV
ajst-18324	17	11	common	common	ADJ
ajst-18324	17	12	malignant	malignant	ADJ
ajst-18324	17	13	tumors	tumor	NOUN
ajst-18324	17	14	in	in	ADP
ajst-18324	17	15	the	the	DET
ajst-18324	17	16	world	world	NOUN
ajst-18324	17	17	,	,	PUNCT
ajst-18324	17	18	and	and	CCONJ
ajst-18324	17	19	its	its	PRON
ajst-18324	17	20	mortality	mortality	NOUN
ajst-18324	17	21	rate	rate	NOUN
ajst-18324	17	22	accounts	account	VERB
ajst-18324	17	23	for	for	ADP
ajst-18324	17	24	8.3	8.3	NUM
ajst-18324	17	25	%	%	NOUN
ajst-18324	17	26	of	of	ADP
ajst-18324	17	27	all	all	DET
ajst-18324	17	28	cancer	cancer	NOUN
ajst-18324	17	29	deaths	death	NOUN
ajst-18324	17	30	in	in	ADP
ajst-18324	17	31	the	the	DET
ajst-18324	17	32	world	world	NOUN
ajst-18324	17	33	.	.	PUNCT
ajst-18324	18	1	primary	primary	ADJ
ajst-18324	18	2	liver	liver	NOUN
ajst-18324	18	3	cancer	cancer	NOUN
ajst-18324	18	4	has	have	AUX
ajst-18324	18	5	been	be	AUX
ajst-18324	18	6	paid	pay	VERB
ajst-18324	18	7	more	more	ADJ
ajst-18324	18	8	and	and	CCONJ
ajst-18324	18	9	more	more	ADJ
ajst-18324	18	10	attention	attention	NOUN
ajst-18324	18	11	by	by	ADP
ajst-18324	18	12	the	the	DET
ajst-18324	18	13	society	society	NOUN
ajst-18324	18	14	,	,	PUNCT
ajst-18324	18	15	and	and	CCONJ
ajst-18324	18	16	the	the	DET
ajst-18324	18	17	survival	survival	NOUN
ajst-18324	18	18	rate	rate	NOUN
ajst-18324	18	19	of	of	ADP
ajst-18324	18	20	patients	patient	NOUN
ajst-18324	18	21	with	with	ADP
ajst-18324	18	22	primary	primary	ADJ
ajst-18324	18	23	liver	liver	NOUN
ajst-18324	18	24	cancer	cancer	NOUN
ajst-18324	18	25	after	after	ADP
ajst-18324	18	26	operation	operation	NOUN
ajst-18324	18	27	is	be	AUX
ajst-18324	18	28	very	very	ADV
ajst-18324	18	29	low	low	ADJ
ajst-18324	18	30	.	.	PUNCT
ajst-18324	19	1	accurate	accurate	ADJ
ajst-18324	19	2	prediction	prediction	NOUN
ajst-18324	19	3	of	of	ADP
ajst-18324	19	4	postoperative	postoperative	ADJ
ajst-18324	19	5	survival	survival	NOUN
ajst-18324	19	6	of	of	ADP
ajst-18324	19	7	cancer	cancer	NOUN
ajst-18324	19	8	patients	patient	NOUN
ajst-18324	19	9	plays	play	VERB
ajst-18324	19	10	a	a	DET
ajst-18324	19	11	key	key	ADJ
ajst-18324	19	12	role	role	NOUN
ajst-18324	19	13	in	in	ADP
ajst-18324	19	14	the	the	DET
ajst-18324	19	15	whole	whole	ADJ
ajst-18324	19	16	treatment	treatment	NOUN
ajst-18324	19	17	period	period	NOUN
ajst-18324	19	18	,	,	PUNCT
ajst-18324	19	19	both	both	PRON
ajst-18324	19	20	for	for	ADP
ajst-18324	19	21	patients	patient	NOUN
ajst-18324	19	22	and	and	CCONJ
ajst-18324	19	23	medical	medical	ADJ
ajst-18324	19	24	staff	staff	NOUN
ajst-18324	19	25	[	[	X
ajst-18324	19	26	1	1	NUM
ajst-18324	19	27	]	]	PUNCT
ajst-18324	19	28	.	.	PUNCT
ajst-18324	20	1	at	at	ADP
ajst-18324	20	2	present	present	ADJ
ajst-18324	20	3	,	,	PUNCT
ajst-18324	20	4	most	most	ADJ
ajst-18324	20	5	studies	study	NOUN
ajst-18324	20	6	on	on	ADP
ajst-18324	20	7	the	the	DET
ajst-18324	20	8	prognosis	prognosis	NOUN
ajst-18324	20	9	of	of	ADP
ajst-18324	20	10	liver	liver	NOUN
ajst-18324	20	11	cancer	cancer	NOUN
ajst-18324	20	12	patients	patient	NOUN
ajst-18324	20	13	by	by	ADP
ajst-18324	20	14	machine	machine	NOUN
ajst-18324	20	15	learning	learning	NOUN
ajst-18324	20	16	focus	focus	NOUN
ajst-18324	20	17	on	on	ADP
ajst-18324	20	18	medical	medical	ADJ
ajst-18324	20	19	imaging	imaging	NOUN
ajst-18324	20	20	data	datum	NOUN
ajst-18324	20	21	and	and	CCONJ
ajst-18324	20	22	genetic	genetic	ADJ
ajst-18324	20	23	data	datum	NOUN
ajst-18324	20	24	,	,	PUNCT
ajst-18324	20	25	and	and	CCONJ
ajst-18324	20	26	few	few	ADJ
ajst-18324	20	27	people	people	NOUN
ajst-18324	20	28	study	study	VERB
ajst-18324	20	29	clinical	clinical	ADJ
ajst-18324	20	30	data	datum	NOUN
ajst-18324	20	31	.different	.different	NUM
ajst-18324	20	32	from	from	ADP
ajst-18324	20	33	other	other	ADJ
ajst-18324	20	34	malignant	malignant	ADJ
ajst-18324	20	35	tumors	tumor	NOUN
ajst-18324	20	36	,	,	PUNCT
ajst-18324	20	37	the	the	DET
ajst-18324	20	38	liver	liver	NOUN
ajst-18324	20	39	function	function	NOUN
ajst-18324	20	40	and	and	CCONJ
ajst-18324	20	41	physical	physical	ADJ
ajst-18324	20	42	condition	condition	NOUN
ajst-18324	20	43	of	of	ADP
ajst-18324	20	44	patients	patient	NOUN
ajst-18324	20	45	will	will	AUX
ajst-18324	20	46	affect	affect	VERB
ajst-18324	20	47	the	the	DET
ajst-18324	20	48	operation	operation	NOUN
ajst-18324	20	49	result	result	NOUN
ajst-18324	20	50	.	.	PUNCT
ajst-18324	21	1	according	accord	VERB
ajst-18324	21	2	to	to	ADP
ajst-18324	21	3	the	the	DET
ajst-18324	21	4	clinical	clinical	ADJ
ajst-18324	21	5	data	datum	NOUN
ajst-18324	21	6	,	,	PUNCT
ajst-18324	21	7	the	the	DET
ajst-18324	21	8	medical	medical	ADJ
ajst-18324	21	9	staff	staff	NOUN
ajst-18324	21	10	can	can	AUX
ajst-18324	21	11	make	make	VERB
ajst-18324	21	12	individualized	individualized	ADJ
ajst-18324	21	13	postoperative	postoperative	ADJ
ajst-18324	21	14	treatment	treatment	NOUN
ajst-18324	21	15	plan	plan	NOUN
ajst-18324	21	16	for	for	ADP
ajst-18324	21	17	the	the	DET
ajst-18324	21	18	patient	patient	NOUN
ajst-18324	21	19	to	to	PART
ajst-18324	21	20	prolong	prolong	VERB
ajst-18324	21	21	the	the	DET
ajst-18324	21	22	patient	patient	NOUN
ajst-18324	21	23	's	's	PART
ajst-18324	21	24	survival	survival	NOUN
ajst-18324	21	25	time	time	NOUN
ajst-18324	21	26	.	.	PUNCT
ajst-18324	22	1	at	at	ADP
ajst-18324	22	2	present	present	ADJ
ajst-18324	22	3	,	,	PUNCT
ajst-18324	22	4	logistic	logistic	ADJ
ajst-18324	22	5	regression	regression	NOUN
ajst-18324	22	6	and	and	CCONJ
ajst-18324	22	7	cox	cox	PROPN
ajst-18324	22	8	proportional	proportional	ADJ
ajst-18324	22	9	risk	risk	NOUN
ajst-18324	22	10	model	model	NOUN
ajst-18324	22	11	are	be	AUX
ajst-18324	22	12	mainly	mainly	ADV
ajst-18324	22	13	used	use	VERB
ajst-18324	22	14	to	to	PART
ajst-18324	22	15	predict	predict	VERB
ajst-18324	22	16	the	the	DET
ajst-18324	22	17	prognosis	prognosis	NOUN
ajst-18324	22	18	of	of	ADP
ajst-18324	22	19	liver	liver	NOUN
ajst-18324	22	20	tumors	tumor	NOUN
ajst-18324	22	21	.	.	PUNCT
ajst-18324	23	1	but	but	CCONJ
ajst-18324	23	2	these	these	PRON
ajst-18324	23	3	are	be	AUX
ajst-18324	23	4	all	all	PRON
ajst-18324	23	5	based	base	VERB
ajst-18324	23	6	on	on	ADP
ajst-18324	23	7	linear	linear	PROPN
ajst-18324	23	8	assumptions	assumption	NOUN
ajst-18324	23	9	,	,	PUNCT
ajst-18324	23	10	and	and	CCONJ
ajst-18324	23	11	the	the	DET
ajst-18324	23	12	prediction	prediction	NOUN
ajst-18324	23	13	effect	effect	NOUN
ajst-18324	23	14	is	be	AUX
ajst-18324	23	15	limited	limit	VERB
ajst-18324	23	16	.	.	PUNCT
ajst-18324	24	1	in	in	ADP
ajst-18324	24	2	recent	recent	ADJ
ajst-18324	24	3	years	year	NOUN
ajst-18324	24	4	,	,	PUNCT
ajst-18324	24	5	using	use	VERB
ajst-18324	24	6	various	various	ADJ
ajst-18324	24	7	machine	machine	NOUN
ajst-18324	24	8	learning	learn	VERB
ajst-18324	24	9	algorithms	algorithm	NOUN
ajst-18324	24	10	to	to	PART
ajst-18324	24	11	predict	predict	VERB
ajst-18324	24	12	disease	disease	NOUN
ajst-18324	24	13	risk	risk	NOUN
ajst-18324	24	14	has	have	AUX
ajst-18324	24	15	become	become	VERB
ajst-18324	24	16	a	a	DET
ajst-18324	24	17	research	research	NOUN
ajst-18324	24	18	hotspot	hotspot	NOUN
ajst-18324	24	19	in	in	ADP
ajst-18324	24	20	the	the	DET
ajst-18324	24	21	field	field	NOUN
ajst-18324	24	22	of	of	ADP
ajst-18324	24	23	medical	medical	ADJ
ajst-18324	24	24	big	big	ADJ
ajst-18324	24	25	data	datum	NOUN
ajst-18324	24	26	.	.	PUNCT
ajst-18324	25	1	in	in	ADP
ajst-18324	25	2	2001	2001	NUM
ajst-18324	25	3	,	,	PUNCT
ajst-18324	25	4	he	he	PRON
ajst-18324	25	5	jia	jia	PROPN
ajst-18324	25	6	and	and	CCONJ
ajst-18324	25	7	others	other	NOUN
ajst-18324	25	8	used	use	VERB
ajst-18324	25	9	cox	cox	PROPN
ajst-18324	25	10	regression	regression	NOUN
ajst-18324	25	11	to	to	PART
ajst-18324	25	12	screen	screen	VERB
ajst-18324	25	13	11	11	NUM
ajst-18324	25	14	clinical	clinical	ADJ
ajst-18324	25	15	features	feature	NOUN
ajst-18324	25	16	including	include	VERB
ajst-18324	25	17	tumor	tumor	NOUN
ajst-18324	25	18	size	size	NOUN
ajst-18324	25	19	,	,	PUNCT
ajst-18324	25	20	therapy	therapy	NOUN
ajst-18324	25	21	from	from	ADP
ajst-18324	25	22	34	34	NUM
ajst-18324	25	23	clinical	clinical	ADJ
ajst-18324	25	24	features	feature	NOUN
ajst-18324	25	25	,	,	PUNCT
ajst-18324	25	26	and	and	CCONJ
ajst-18324	25	27	then	then	ADV
ajst-18324	25	28	used	use	VERB
ajst-18324	25	29	bp	bp	PROPN
ajst-18324	25	30	neural	neural	ADJ
ajst-18324	25	31	network	network	NOUN
ajst-18324	25	32	to	to	PART
ajst-18324	25	33	predict	predict	VERB
ajst-18324	25	34	the	the	DET
ajst-18324	25	35	survival	survival	NOUN
ajst-18324	25	36	time	time	NOUN
ajst-18324	25	37	of	of	ADP
ajst-18324	25	38	hepatocellular	hepatocellular	ADJ
ajst-18324	25	39	carcinoma	carcinoma	NOUN
ajst-18324	25	40	patients	patient	NOUN
ajst-18324	25	41	after	after	ADP
ajst-18324	25	42	radiotherapy	radiotherapy	VERB
ajst-18324	25	43	[	[	X
ajst-18324	25	44	2	2	NUM
ajst-18324	25	45	]	]	PUNCT
ajst-18324	25	46	.	.	PUNCT
ajst-18324	26	1	in	in	ADP
ajst-18324	26	2	2004	2004	NUM
ajst-18324	26	3	,	,	PUNCT
ajst-18324	26	4	shen	shen	PROPN
ajst-18324	26	5	yu	yu	PROPN
ajst-18324	26	6	and	and	CCONJ
ajst-18324	26	7	others	other	NOUN
ajst-18324	26	8	divided	divide	VERB
ajst-18324	26	9	the	the	DET
ajst-18324	26	10	survival	survival	NOUN
ajst-18324	26	11	time	time	NOUN
ajst-18324	26	12	of	of	ADP
ajst-18324	26	13	patients	patient	NOUN
ajst-18324	26	14	into	into	ADP
ajst-18324	26	15	six	six	NUM
ajst-18324	26	16	months	month	NOUN
ajst-18324	26	17	and	and	CCONJ
ajst-18324	26	18	one	one	NUM
ajst-18324	26	19	year	year	NOUN
ajst-18324	26	20	for	for	ADP
ajst-18324	26	21	prediction	prediction	NOUN
ajst-18324	26	22	.	.	PUNCT
ajst-18324	27	1	based	base	VERB
ajst-18324	27	2	on	on	ADP
ajst-18324	27	3	192	192	NUM
ajst-18324	27	4	clinical	clinical	ADJ
ajst-18324	27	5	cases	case	NOUN
ajst-18324	27	6	of	of	ADP
ajst-18324	27	7	primary	primary	ADJ
ajst-18324	27	8	liver	liver	NOUN
ajst-18324	27	9	cancer	cancer	NOUN
ajst-18324	27	10	,	,	PUNCT
ajst-18324	27	11	16	16	NUM
ajst-18324	27	12	characteristics	characteristic	NOUN
ajst-18324	27	13	including	include	VERB
ajst-18324	27	14	ibil2	ibil2	NOUN
ajst-18324	27	15	,	,	PUNCT
ajst-18324	27	16	gib1	gib1	NOUN
ajst-18324	27	17	*	*	PROPN
ajst-18324	27	18	,	,	PUNCT
ajst-18324	27	19	gib2	gib2	PROPN
ajst-18324	27	20	*	*	SYM
ajst-18324	27	21	,	,	PUNCT
ajst-18324	27	22	wbc1	wbc1	PROPN
ajst-18324	27	23	*	*	PUNCT
ajst-18324	27	24	were	be	AUX
ajst-18324	27	25	screened	screen	VERB
ajst-18324	27	26	out	out	ADP
ajst-18324	27	27	from	from	ADP
ajst-18324	27	28	41	41	NUM
ajst-18324	27	29	clinical	clinical	ADJ
ajst-18324	27	30	characteristics	characteristic	NOUN
ajst-18324	27	31	by	by	ADP
ajst-18324	27	32	looking	look	VERB
ajst-18324	27	33	for	for	ADP
ajst-18324	27	34	attributes	attribute	NOUN
ajst-18324	27	35	with	with	ADP
ajst-18324	27	36	large	large	ADJ
ajst-18324	27	37	statistical	statistical	ADJ
ajst-18324	27	38	distribution	distribution	NOUN
ajst-18324	27	39	differences	difference	NOUN
ajst-18324	27	40	in	in	ADP
ajst-18324	27	41	different	different	ADJ
ajst-18324	27	42	categories	category	NOUN
ajst-18324	27	43	,	,	PUNCT
ajst-18324	27	44	then	then	ADV
ajst-18324	27	45	using	use	VERB
ajst-18324	27	46	bayesian	bayesian	NOUN
ajst-18324	27	47	classification	classification	NOUN
ajst-18324	27	48	to	to	PART
ajst-18324	27	49	predict	predict	VERB
ajst-18324	27	50	the	the	DET
ajst-18324	27	51	postoperative	postoperative	ADJ
ajst-18324	27	52	survival	survival	NOUN
ajst-18324	27	53	time	time	NOUN
ajst-18324	27	54	of	of	ADP
ajst-18324	27	55	patients	patient	NOUN
ajst-18324	27	56	[	[	X
ajst-18324	27	57	3	3	NUM
ajst-18324	27	58	]	]	PUNCT
ajst-18324	27	59	.	.	PUNCT
ajst-18324	28	1	shen	shen	PROPN
ajst-18324	28	2	et	et	PROPN
ajst-18324	28	3	al	al	PROPN
ajst-18324	28	4	.	.	PROPN
ajst-18324	28	5	used	use	VERB
ajst-18324	28	6	artificial	artificial	ADJ
ajst-18324	28	7	neural	neural	ADJ
ajst-18324	28	8	network	network	NOUN
ajst-18324	28	9	,	,	PUNCT
ajst-18324	28	10	logistic	logistic	ADJ
ajst-18324	28	11	regression	regression	NOUN
ajst-18324	28	12	to	to	PART
ajst-18324	28	13	establish	establish	VERB
ajst-18324	28	14	a	a	DET
ajst-18324	28	15	survival	survival	NOUN
ajst-18324	28	16	prediction	prediction	NOUN
ajst-18324	28	17	model	model	NOUN
ajst-18324	28	18	for	for	ADP
ajst-18324	28	19	patients	patient	NOUN
ajst-18324	28	20	with	with	ADP
ajst-18324	28	21	early	early	ADJ
ajst-18324	28	22	liver	liver	NOUN
ajst-18324	28	23	cancer	cancer	NOUN
ajst-18324	28	24	after	after	ADP
ajst-18324	28	25	operation	operation	NOUN
ajst-18324	28	26	,	,	PUNCT
ajst-18324	28	27	and	and	CCONJ
ajst-18324	28	28	found	find	VERB
ajst-18324	28	29	that	that	SCONJ
ajst-18324	28	30	the	the	DET
ajst-18324	28	31	auc	auc	NOUN
ajst-18324	28	32	of	of	ADP
ajst-18324	28	33	artificial	artificial	ADJ
ajst-18324	28	34	neural	neural	ADJ
ajst-18324	28	35	network	network	NOUN
ajst-18324	28	36	model	model	NOUN
ajst-18324	28	37	was	be	AUX
ajst-18324	28	38	higher	high	ADJ
ajst-18324	28	39	than	than	ADP
ajst-18324	28	40	that	that	PRON
ajst-18324	28	41	of	of	ADP
ajst-18324	28	42	other	other	ADJ
ajst-18324	28	43	models	model	NOUN
ajst-18324	28	44	[	[	X
ajst-18324	28	45	4	4	NUM
ajst-18324	28	46	]	]	PUNCT
ajst-18324	28	47	.	.	PUNCT
ajst-18324	29	1	ho	ho	PROPN
ajst-18324	29	2	et	et	PROPN
ajst-18324	29	3	al	al	PROPN
ajst-18324	29	4	.	.	PROPN
ajst-18324	29	5	used	use	VERB
ajst-18324	29	6	logistic	logistic	ADJ
ajst-18324	29	7	regression	regression	NOUN
ajst-18324	29	8	,	,	PUNCT
ajst-18324	29	9	artificial	artificial	ADJ
ajst-18324	29	10	neural	neural	ADJ
ajst-18324	29	11	network	network	NOUN
ajst-18324	29	12	and	and	CCONJ
ajst-18324	29	13	decision	decision	NOUN
ajst-18324	29	14	tree	tree	NOUN
ajst-18324	29	15	to	to	PART
ajst-18324	29	16	construct	construct	VERB
ajst-18324	29	17	the	the	DET
ajst-18324	29	18	1,3,5	1,3,5	NUM
ajst-18324	29	19	year	year	NOUN
ajst-18324	29	20	disease	disease	NOUN
ajst-18324	29	21	-	-	PUNCT
ajst-18324	29	22	free	free	ADJ
ajst-18324	29	23	survival	survival	NOUN
ajst-18324	29	24	model	model	NOUN
ajst-18324	29	25	of	of	ADP
ajst-18324	29	26	hepatocellular	hepatocellular	ADJ
ajst-18324	29	27	carcinoma	carcinoma	NOUN
ajst-18324	29	28	patients	patient	NOUN
ajst-18324	29	29	undergoing	undergo	VERB
ajst-18324	29	30	hepatectomy	hepatectomy	NOUN
ajst-18324	29	31	,	,	PUNCT
ajst-18324	29	32	and	and	CCONJ
ajst-18324	29	33	further	far	ADV
ajst-18324	29	34	found	find	VERB
ajst-18324	29	35	that	that	SCONJ
ajst-18324	29	36	the	the	DET
ajst-18324	29	37	accuracy	accuracy	NOUN
ajst-18324	29	38	of	of	ADP
ajst-18324	29	39	the	the	DET
ajst-18324	29	40	artificial	artificial	ADJ
ajst-18324	29	41	neural	neural	ADJ
ajst-18324	29	42	network	network	NOUN
ajst-18324	29	43	model	model	NOUN
ajst-18324	29	44	is	be	AUX
ajst-18324	29	45	higher	high	ADJ
ajst-18324	29	46	[	[	X
ajst-18324	29	47	5	5	NUM
ajst-18324	29	48	]	]	PUNCT
ajst-18324	29	49	.	.	PUNCT
ajst-18324	30	1	chiu	chiu	PROPN
ajst-18324	30	2	et	et	PROPN
ajst-18324	30	3	al	al	PROPN
ajst-18324	30	4	.	.	PROPN
ajst-18324	30	5	screened	screen	VERB
ajst-18324	30	6	21	21	NUM
ajst-18324	30	7	features	feature	NOUN
ajst-18324	30	8	by	by	ADP
ajst-18324	30	9	cox	cox	PROPN
ajst-18324	30	10	regression	regression	NOUN
ajst-18324	30	11	model	model	NOUN
ajst-18324	30	12	and	and	CCONJ
ajst-18324	30	13	then	then	ADV
ajst-18324	30	14	trained	train	VERB
ajst-18324	30	15	artificial	artificial	ADJ
ajst-18324	30	16	neural	neural	ADJ
ajst-18324	30	17	network	network	NOUN
ajst-18324	30	18	model	model	NOUN
ajst-18324	30	19	and	and	CCONJ
ajst-18324	30	20	logistic	logistic	ADJ
ajst-18324	30	21	regression	regression	NOUN
ajst-18324	30	22	model	model	NOUN
ajst-18324	30	23	to	to	PART
ajst-18324	30	24	predict	predict	VERB
ajst-18324	30	25	the	the	DET
ajst-18324	30	26	1,3,5	1,3,5	NUM
ajst-18324	30	27	year	year	NOUN
ajst-18324	30	28	survival	survival	NOUN
ajst-18324	30	29	rate	rate	NOUN
ajst-18324	30	30	of	of	ADP
ajst-18324	30	31	patients	patient	NOUN
ajst-18324	30	32	after	after	ADP
ajst-18324	30	33	hepatectomy	hepatectomy	NOUN
ajst-18324	30	34	.	.	PUNCT
ajst-18324	31	1	the	the	DET
ajst-18324	31	2	results	result	NOUN
ajst-18324	31	3	showed	show	VERB
ajst-18324	31	4	that	that	SCONJ
ajst-18324	31	5	artificial	artificial	ADJ
ajst-18324	31	6	neural	neural	ADJ
ajst-18324	31	7	network	network	NOUN
ajst-18324	31	8	was	be	AUX
ajst-18324	31	9	superior	superior	ADJ
ajst-18324	31	10	to	to	ADP
ajst-18324	31	11	logistic	logistic	ADJ
ajst-18324	31	12	regression	regression	NOUN
ajst-18324	31	13	[	[	X
ajst-18324	31	14	6,7	6,7	NUM
ajst-18324	31	15	]	]	PUNCT
ajst-18324	31	16	.	.	PUNCT
ajst-18324	32	1	in	in	ADP
ajst-18324	32	2	2019	2019	NUM
ajst-18324	32	3	,	,	PUNCT
ajst-18324	32	4	lin	lin	PROPN
ajst-18324	32	5	li	li	PROPN
ajst-18324	32	6	divided	divide	VERB
ajst-18324	32	7	patients	patient	NOUN
ajst-18324	32	8	into	into	ADP
ajst-18324	32	9	two	two	NUM
ajst-18324	32	10	categories	category	NOUN
ajst-18324	32	11	with	with	ADP
ajst-18324	32	12	a	a	DET
ajst-18324	32	13	threshold	threshold	NOUN
ajst-18324	32	14	of	of	ADP
ajst-18324	32	15	three	three	NUM
ajst-18324	32	16	years	year	NOUN
ajst-18324	32	17	to	to	PART
ajst-18324	32	18	predict	predict	VERB
ajst-18324	32	19	the	the	DET
ajst-18324	32	20	survival	survival	NOUN
ajst-18324	32	21	time	time	NOUN
ajst-18324	32	22	of	of	ADP
ajst-18324	32	23	postoperative	postoperative	ADJ
ajst-18324	32	24	hepatocellular	hepatocellular	ADJ
ajst-18324	32	25	carcinoma	carcinoma	NOUN
ajst-18324	32	26	patients	patient	NOUN
ajst-18324	32	27	.	.	PUNCT
ajst-18324	33	1	msvmrfe	msvmrfe	NOUN
ajst-18324	33	2	feature	feature	NOUN
ajst-18324	33	3	selection	selection	NOUN
ajst-18324	33	4	was	be	AUX
ajst-18324	33	5	performed	perform	VERB
ajst-18324	33	6	in	in	ADP
ajst-18324	33	7	343	343	NUM
ajst-18324	33	8	males	male	NOUN
ajst-18324	33	9	and	and	CCONJ
ajst-18324	33	10	43	43	NUM
ajst-18324	33	11	females	female	NOUN
ajst-18324	33	12	,	,	PUNCT
ajst-18324	33	13	to	to	PART
ajst-18324	33	14	screen	screen	VERB
ajst-18324	33	15	out	out	ADP
ajst-18324	33	16	important	important	ADJ
ajst-18324	33	17	clinical	clinical	ADJ
ajst-18324	33	18	features	feature	NOUN
ajst-18324	33	19	.	.	PUNCT
ajst-18324	34	1	three	three	NUM
ajst-18324	34	2	-	-	PUNCT
ajst-18324	34	3	year	year	NOUN
ajst-18324	34	4	survival	survival	NOUN
ajst-18324	34	5	prediction	prediction	NOUN
ajst-18324	34	6	model	model	NOUN
ajst-18324	34	7	and	and	CCONJ
ajst-18324	34	8	three	three	NUM
ajst-18324	34	9	-	-	PUNCT
ajst-18324	34	10	year	year	NOUN
ajst-18324	34	11	recurrence	recurrence	NOUN
ajst-18324	34	12	model	model	NOUN
ajst-18324	34	13	were	be	AUX
ajst-18324	34	14	established	establish	VERB
ajst-18324	34	15	based	base	VERB
ajst-18324	34	16	on	on	ADP
ajst-18324	34	17	the	the	DET
ajst-18324	34	18	variables	variable	NOUN
ajst-18324	34	19	after	after	ADP
ajst-18324	34	20	feature	feature	NOUN
ajst-18324	34	21	selection	selection	NOUN
ajst-18324	34	22	using	use	VERB
ajst-18324	34	23	seven	seven	NUM
ajst-18324	34	24	classification	classification	NOUN
ajst-18324	34	25	algorithms	algorithm	NOUN
ajst-18324	34	26	.	.	PUNCT
ajst-18324	35	1	the	the	DET
ajst-18324	35	2	results	result	NOUN
ajst-18324	35	3	show	show	VERB
ajst-18324	35	4	that	that	SCONJ
ajst-18324	35	5	svm	svm	NOUN
ajst-18324	35	6	and	and	CCONJ
ajst-18324	35	7	random	random	ADJ
ajst-18324	35	8	forest	forest	NOUN
ajst-18324	35	9	have	have	VERB
ajst-18324	35	10	better	well	ADJ
ajst-18324	35	11	prediction	prediction	NOUN
ajst-18324	35	12	effect	effect	NOUN
ajst-18324	35	13	[	[	X
ajst-18324	35	14	8	8	NUM
ajst-18324	35	15	]	]	PUNCT
ajst-18324	35	16	.	.	PUNCT
ajst-18324	36	1	in	in	ADP
ajst-18324	36	2	2022	2022	NUM
ajst-18324	36	3	,	,	PUNCT
ajst-18324	36	4	ding	ding	NOUN
ajst-18324	36	5	kexin	kexin	NOUN
ajst-18324	36	6	combined	combine	VERB
ajst-18324	36	7	gene	gene	NOUN
ajst-18324	36	8	expression	expression	NOUN
ajst-18324	36	9	characteristics	characteristic	NOUN
ajst-18324	36	10	and	and	CCONJ
ajst-18324	36	11	clinical	clinical	ADJ
ajst-18324	36	12	characteristics	characteristic	NOUN
ajst-18324	36	13	to	to	PART
ajst-18324	36	14	predict	predict	VERB
ajst-18324	36	15	the	the	DET
ajst-18324	36	16	tag	tag	NOUN
ajst-18324	36	17	of	of	ADP
ajst-18324	36	18	survival	survival	NOUN
ajst-18324	36	19	time	time	NOUN
ajst-18324	36	20	of	of	ADP
ajst-18324	36	21	hepatocellular	hepatocellular	ADJ
ajst-18324	36	22	carcinoma	carcinoma	NOUN
ajst-18324	36	23	patients	patient	NOUN
ajst-18324	36	24	by	by	ADP
ajst-18324	36	25	using	use	VERB
ajst-18324	36	26	xgboost	xgboost	ADP
ajst-18324	36	27	classification	classification	NOUN
ajst-18324	36	28	algorithm	algorithm	NOUN
ajst-18324	36	29	,	,	PUNCT
ajst-18324	36	30	and	and	CCONJ
ajst-18324	36	31	optimize	optimize	VERB
ajst-18324	36	32	the	the	DET
ajst-18324	36	33	parameters	parameter	NOUN
ajst-18324	36	34	of	of	ADP
ajst-18324	36	35	52	52	NUM
ajst-18324	36	36	xgboost	xgboost	ADV
ajst-18324	36	37	algorithm	algorithm	PROPN
ajst-18324	36	38	.	.	PUNCT
ajst-18324	37	1	finally	finally	ADV
ajst-18324	37	2	,	,	PUNCT
ajst-18324	37	3	bo	bo	VERB
ajst-18324	37	4	-	-	PUNCT
ajst-18324	37	5	xgboost	xgboost	PROPN
ajst-18324	37	6	algorithm	algorithm	NOUN
ajst-18324	37	7	with	with	ADP
ajst-18324	37	8	better	well	ADJ
ajst-18324	37	9	prediction	prediction	NOUN
ajst-18324	37	10	effect	effect	NOUN
ajst-18324	37	11	is	be	AUX
ajst-18324	37	12	selected	select	VERB
ajst-18324	37	13	for	for	ADP
ajst-18324	37	14	classification	classification	NOUN
ajst-18324	37	15	prediction	prediction	NOUN
ajst-18324	37	16	[	[	X
ajst-18324	37	17	9	9	NUM
ajst-18324	37	18	]	]	SYM
ajst-18324	37	19	.	.	PUNCT
ajst-18324	38	1	2	2	X
ajst-18324	38	2	.	.	X
ajst-18324	38	3	datasets	dataset	VERB
ajst-18324	38	4	the	the	DET
ajst-18324	38	5	dataset	dataset	NOUN
ajst-18324	38	6	used	use	VERB
ajst-18324	38	7	in	in	ADP
ajst-18324	38	8	this	this	DET
ajst-18324	38	9	paper	paper	NOUN
ajst-18324	38	10	contains	contain	VERB
ajst-18324	38	11	110	110	NUM
ajst-18324	38	12	clinical	clinical	ADJ
ajst-18324	38	13	features	feature	NOUN
ajst-18324	38	14	and	and	CCONJ
ajst-18324	38	15	survival	survival	NOUN
ajst-18324	38	16	time	time	NOUN
ajst-18324	38	17	(	(	PUNCT
ajst-18324	38	18	os.time	os.time	NOUN
ajst-18324	38	19	)	)	PUNCT
ajst-18324	38	20	of	of	ADP
ajst-18324	38	21	438	438	NUM
ajst-18324	38	22	patients	patient	NOUN
ajst-18324	38	23	with	with	ADP
ajst-18324	38	24	hepatocellular	hepatocellular	ADJ
ajst-18324	38	25	carcinoma	carcinoma	NOUN
ajst-18324	38	26	from	from	ADP
ajst-18324	38	27	ucsc	ucsc	PROPN
ajst-18324	38	28	xena	xena	PROPN
ajst-18324	38	29	database	database	PROPN
ajst-18324	38	30	.	.	PUNCT
ajst-18324	39	1	2.1	2.1	NUM
ajst-18324	39	2	.	.	PUNCT
ajst-18324	39	3	data	datum	NOUN
ajst-18324	39	4	preprocessing	preprocesse	VERB
ajst-18324	39	5	2.1.1	2.1.1	NUM
ajst-18324	39	6	.	.	PUNCT
ajst-18324	39	7	fill	fill	NOUN
ajst-18324	39	8	in	in	ADP
ajst-18324	39	9	missing	miss	VERB
ajst-18324	39	10	values	value	NOUN
ajst-18324	39	11	the	the	DET
ajst-18324	39	12	lack	lack	NOUN
ajst-18324	39	13	of	of	ADP
ajst-18324	39	14	clinical	clinical	ADJ
ajst-18324	39	15	features	feature	NOUN
ajst-18324	39	16	is	be	AUX
ajst-18324	39	17	relatively	relatively	ADV
ajst-18324	39	18	serious	serious	ADJ
ajst-18324	39	19	.	.	PUNCT
ajst-18324	40	1	if	if	SCONJ
ajst-18324	40	2	the	the	DET
ajst-18324	40	3	missing	miss	VERB
ajst-18324	40	4	value	value	NOUN
ajst-18324	40	5	of	of	ADP
ajst-18324	40	6	a	a	DET
ajst-18324	40	7	clinical	clinical	ADJ
ajst-18324	40	8	feature	feature	NOUN
ajst-18324	40	9	is	be	AUX
ajst-18324	40	10	higher	high	ADJ
ajst-18324	40	11	than	than	ADP
ajst-18324	40	12	20	20	NUM
ajst-18324	40	13	%	%	NOUN
ajst-18324	40	14	,	,	PUNCT
ajst-18324	40	15	it	it	PRON
ajst-18324	40	16	is	be	AUX
ajst-18324	40	17	considered	consider	VERB
ajst-18324	40	18	that	that	SCONJ
ajst-18324	40	19	the	the	DET
ajst-18324	40	20	feature	feature	NOUN
ajst-18324	40	21	is	be	AUX
ajst-18324	40	22	of	of	ADP
ajst-18324	40	23	little	little	ADJ
ajst-18324	40	24	significance	significance	NOUN
ajst-18324	40	25	and	and	CCONJ
ajst-18324	40	26	deleted	delete	VERB
ajst-18324	40	27	it	it	PRON
ajst-18324	40	28	.	.	PUNCT
ajst-18324	41	1	for	for	ADP
ajst-18324	41	2	the	the	DET
ajst-18324	41	3	remaining	remain	VERB
ajst-18324	41	4	missing	miss	VERB
ajst-18324	41	5	clinical	clinical	ADJ
ajst-18324	41	6	features	feature	NOUN
ajst-18324	41	7	,	,	PUNCT
ajst-18324	41	8	the	the	DET
ajst-18324	41	9	numerical	numerical	ADJ
ajst-18324	41	10	data	datum	NOUN
ajst-18324	41	11	are	be	AUX
ajst-18324	41	12	filled	fill	VERB
ajst-18324	41	13	with	with	ADP
ajst-18324	41	14	mean	mean	ADJ
ajst-18324	41	15	value	value	NOUN
ajst-18324	41	16	;	;	PUNCT
ajst-18324	41	17	then	then	ADV
ajst-18324	41	18	the	the	DET
ajst-18324	41	19	nonnumerical	nonnumerical	ADJ
ajst-18324	41	20	data	datum	NOUN
ajst-18324	41	21	,	,	PUNCT
ajst-18324	41	22	the	the	DET
ajst-18324	41	23	features	feature	NOUN
ajst-18324	41	24	that	that	PRON
ajst-18324	41	25	are	be	AUX
ajst-18324	41	26	almost	almost	ADV
ajst-18324	41	27	different	different	ADJ
ajst-18324	41	28	from	from	ADP
ajst-18324	41	29	each	each	DET
ajst-18324	41	30	sample	sample	NOUN
ajst-18324	41	31	are	be	AUX
ajst-18324	41	32	deleted	delete	VERB
ajst-18324	41	33	first	first	ADV
ajst-18324	41	34	,	,	PUNCT
ajst-18324	41	35	and	and	CCONJ
ajst-18324	41	36	others	other	NOUN
ajst-18324	41	37	are	be	AUX
ajst-18324	41	38	filled	fill	VERB
ajst-18324	41	39	with	with	ADP
ajst-18324	41	40	mode	mode	NOUN
ajst-18324	41	41	value	value	NOUN
ajst-18324	41	42	,	,	PUNCT
ajst-18324	41	43	and	and	CCONJ
ajst-18324	41	44	then	then	ADV
ajst-18324	41	45	the	the	DET
ajst-18324	41	46	string	string	NOUN
ajst-18324	41	47	data	datum	NOUN
ajst-18324	41	48	are	be	AUX
ajst-18324	41	49	converted	convert	VERB
ajst-18324	41	50	into	into	ADP
ajst-18324	41	51	numeric	numeric	ADJ
ajst-18324	41	52	data	datum	NOUN
ajst-18324	41	53	.	.	PUNCT
ajst-18324	42	1	2.1.2	2.1.2	X
ajst-18324	42	2	.	.	PUNCT
ajst-18324	42	3	data	datum	NOUN
ajst-18324	42	4	normalization	normalization	NOUN
ajst-18324	42	5	in	in	ADP
ajst-18324	42	6	this	this	DET
ajst-18324	42	7	paper	paper	NOUN
ajst-18324	42	8	,	,	PUNCT
ajst-18324	42	9	max	max	PROPN
ajst-18324	42	10	-	-	PUNCT
ajst-18324	42	11	min	min	PROPN
ajst-18324	42	12	normalization	normalization	NOUN
ajst-18324	42	13	method	method	NOUN
ajst-18324	42	14	is	be	AUX
ajst-18324	42	15	used	use	VERB
ajst-18324	42	16	to	to	PART
ajst-18324	42	17	make	make	VERB
ajst-18324	42	18	the	the	DET
ajst-18324	42	19	fluctuating	fluctuate	VERB
ajst-18324	42	20	clinical	clinical	ADJ
ajst-18324	42	21	features	feature	NOUN
ajst-18324	42	22	have	have	VERB
ajst-18324	42	23	the	the	DET
ajst-18324	42	24	same	same	ADJ
ajst-18324	42	25	dimensional	dimensional	ADJ
ajst-18324	42	26	values	value	NOUN
ajst-18324	42	27	and	and	CCONJ
ajst-18324	42	28	all	all	DET
ajst-18324	42	29	fall	fall	VERB
ajst-18324	42	30	on	on	ADP
ajst-18324	42	31	[	[	X
ajst-18324	42	32	0	0	NUM
ajst-18324	42	33	,	,	PUNCT
ajst-18324	42	34	1	1	NUM
ajst-18324	42	35	]	]	PUNCT
ajst-18324	42	36	.	.	PUNCT
ajst-18324	43	1	the	the	DET
ajst-18324	43	2	calculation	calculation	NOUN
ajst-18324	43	3	formula	formula	NOUN
ajst-18324	43	4	is	be	AUX
ajst-18324	43	5	as	as	SCONJ
ajst-18324	43	6	follows	follow	VERB
ajst-18324	43	7	:	:	PUNCT
ajst-18324	43	8	x	x	SYM
ajst-18324	43	9	1	1	NUM
ajst-18324	43	10	2.1.3	2.1.3	NUM
ajst-18324	43	11	.	.	PUNCT
ajst-18324	44	1	variance	variance	NOUN
ajst-18324	44	2	filtering	filter	VERB
ajst-18324	44	3	if	if	SCONJ
ajst-18324	44	4	the	the	DET
ajst-18324	44	5	variance	variance	NOUN
ajst-18324	44	6	of	of	ADP
ajst-18324	44	7	a	a	DET
ajst-18324	44	8	feature	feature	NOUN
ajst-18324	44	9	itself	itself	PRON
ajst-18324	44	10	is	be	AUX
ajst-18324	44	11	very	very	ADV
ajst-18324	44	12	small	small	ADJ
ajst-18324	44	13	,	,	PUNCT
ajst-18324	44	14	the	the	DET
ajst-18324	44	15	fluctuation	fluctuation	NOUN
ajst-18324	44	16	of	of	ADP
ajst-18324	44	17	the	the	DET
ajst-18324	44	18	value	value	NOUN
ajst-18324	44	19	on	on	ADP
ajst-18324	44	20	the	the	DET
ajst-18324	44	21	feature	feature	NOUN
ajst-18324	44	22	will	will	AUX
ajst-18324	44	23	be	be	AUX
ajst-18324	44	24	very	very	ADV
ajst-18324	44	25	small	small	ADJ
ajst-18324	44	26	.	.	PUNCT
ajst-18324	45	1	the	the	DET
ajst-18324	45	2	influence	influence	NOUN
ajst-18324	45	3	of	of	ADP
ajst-18324	45	4	such	such	ADJ
ajst-18324	45	5	features	feature	NOUN
ajst-18324	45	6	on	on	ADP
ajst-18324	45	7	the	the	DET
ajst-18324	45	8	target	target	NOUN
ajst-18324	45	9	can	can	AUX
ajst-18324	45	10	be	be	AUX
ajst-18324	45	11	ignored	ignore	VERB
ajst-18324	45	12	.	.	PUNCT
ajst-18324	46	1	in	in	ADP
ajst-18324	46	2	this	this	DET
ajst-18324	46	3	study	study	NOUN
ajst-18324	46	4	,	,	PUNCT
ajst-18324	46	5	features	feature	VERB
ajst-18324	46	6	with	with	ADP
ajst-18324	46	7	variance	variance	NOUN
ajst-18324	46	8	less	less	ADJ
ajst-18324	46	9	than	than	ADP
ajst-18324	46	10	0.01	0.01	NUM
ajst-18324	46	11	are	be	AUX
ajst-18324	46	12	deleted	delete	VERB
ajst-18324	46	13	.	.	PUNCT
ajst-18324	47	1	2.1.4	2.1.4	NUM
ajst-18324	47	2	.	.	PUNCT
ajst-18324	47	3	sample	sample	NOUN
ajst-18324	47	4	label	label	NOUN
ajst-18324	47	5	processing	process	VERB
ajst-18324	47	6	the	the	DET
ajst-18324	47	7	survival	survival	NOUN
ajst-18324	47	8	data	datum	NOUN
ajst-18324	47	9	were	be	AUX
ajst-18324	47	10	classified	classify	VERB
ajst-18324	47	11	with	with	ADP
ajst-18324	47	12	a	a	DET
ajst-18324	47	13	threshold	threshold	NOUN
ajst-18324	47	14	of	of	ADP
ajst-18324	47	15	1	1	NUM
ajst-18324	47	16	year	year	NOUN
ajst-18324	47	17	(	(	PUNCT
ajst-18324	47	18	365	365	NUM
ajst-18324	47	19	days	day	NOUN
ajst-18324	47	20	)	)	PUNCT
ajst-18324	47	21	,	,	PUNCT
ajst-18324	47	22	3	3	NUM
ajst-18324	47	23	years	year	NOUN
ajst-18324	47	24	(	(	PUNCT
ajst-18324	47	25	1095	1095	NUM
ajst-18324	47	26	days	day	NOUN
ajst-18324	47	27	)	)	PUNCT
ajst-18324	47	28	and	and	CCONJ
ajst-18324	47	29	5	5	NUM
ajst-18324	47	30	years	year	NOUN
ajst-18324	47	31	(	(	PUNCT
ajst-18324	47	32	1825	1825	NUM
ajst-18324	47	33	days	day	NOUN
ajst-18324	47	34	)	)	PUNCT
ajst-18324	47	35	,	,	PUNCT
ajst-18324	47	36	and	and	CCONJ
ajst-18324	47	37	then	then	ADV
ajst-18324	47	38	the	the	DET
ajst-18324	47	39	samples	sample	NOUN
ajst-18324	47	40	were	be	AUX
ajst-18324	47	41	labeled	label	VERB
ajst-18324	47	42	.	.	PUNCT
ajst-18324	48	1	patients	patient	NOUN
ajst-18324	48	2	with	with	ADP
ajst-18324	48	3	less	less	ADJ
ajst-18324	48	4	than	than	ADP
ajst-18324	48	5	1	1	NUM
ajst-18324	48	6	year	year	NOUN
ajst-18324	48	7	of	of	ADP
ajst-18324	48	8	survival	survival	NOUN
ajst-18324	48	9	labeled	label	VERB
ajst-18324	48	10	0	0	NUM
ajst-18324	48	11	,	,	PUNCT
ajst-18324	48	12	1	1	NUM
ajst-18324	48	13	to	to	PART
ajst-18324	48	14	3	3	NUM
ajst-18324	48	15	years	year	NOUN
ajst-18324	48	16	patients	patient	NOUN
ajst-18324	48	17	labeled	label	VERB
ajst-18324	48	18	1	1	NUM
ajst-18324	48	19	,	,	PUNCT
ajst-18324	48	20	3	3	NUM
ajst-18324	48	21	to	to	PART
ajst-18324	48	22	5	5	NUM
ajst-18324	48	23	years	year	NOUN
ajst-18324	48	24	patients	patient	NOUN
ajst-18324	48	25	labeled	label	VERB
ajst-18324	48	26	2	2	NUM
ajst-18324	48	27	,	,	PUNCT
ajst-18324	48	28	more	more	ADJ
ajst-18324	48	29	than	than	ADP
ajst-18324	48	30	5	5	NUM
ajst-18324	48	31	years	year	NOUN
ajst-18324	48	32	patients	patient	NOUN
ajst-18324	48	33	labeled	label	VERB
ajst-18324	48	34	3	3	NUM
ajst-18324	48	35	,	,	PUNCT
ajst-18324	48	36	and	and	CCONJ
ajst-18324	48	37	then	then	ADV
ajst-18324	48	38	remove	remove	VERB
ajst-18324	48	39	samples	sample	NOUN
ajst-18324	48	40	with	with	ADP
ajst-18324	48	41	empty	empty	ADJ
ajst-18324	48	42	labels	label	NOUN
ajst-18324	48	43	.	.	PUNCT
ajst-18324	49	1	in	in	ADP
ajst-18324	49	2	this	this	DET
ajst-18324	49	3	paper	paper	NOUN
ajst-18324	49	4	,	,	PUNCT
ajst-18324	49	5	437	437	NUM
ajst-18324	49	6	samples	sample	NOUN
ajst-18324	49	7	are	be	AUX
ajst-18324	49	8	used	use	VERB
ajst-18324	49	9	.	.	PUNCT
ajst-18324	50	1	table	table	NOUN
ajst-18324	50	2	1	1	NUM
ajst-18324	50	3	.	.	PUNCT
ajst-18324	51	1	label	label	NOUN
ajst-18324	51	2	classification	classification	NOUN
ajst-18324	51	3	class	class	NOUN
ajst-18324	51	4	label	label	NOUN
ajst-18324	51	5	number	number	NOUN
ajst-18324	51	6	of	of	ADP
ajst-18324	51	7	samples	sample	NOUN
ajst-18324	51	8	less	less	ADJ
ajst-18324	51	9	than	than	ADP
ajst-18324	51	10	1	1	NUM
ajst-18324	51	11	year	year	NOUN
ajst-18324	51	12	0	0	NUM
ajst-18324	51	13	123	123	NUM
ajst-18324	51	14	1	1	NUM
ajst-18324	51	15	to	to	PART
ajst-18324	51	16	3	3	NUM
ajst-18324	51	17	years	year	NOUN
ajst-18324	51	18	1	1	NUM
ajst-18324	51	19	196	196	NUM
ajst-18324	51	20	3	3	NUM
ajst-18324	51	21	to	to	PART
ajst-18324	51	22	5	5	NUM
ajst-18324	51	23	years	year	NOUN
ajst-18324	51	24	2	2	NUM
ajst-18324	51	25	64	64	NUM
ajst-18324	51	26	more	more	ADJ
ajst-18324	51	27	than	than	ADP
ajst-18324	51	28	5	5	NUM
ajst-18324	51	29	years	year	NOUN
ajst-18324	51	30	3	3	NUM
ajst-18324	51	31	54	54	NUM
ajst-18324	51	32	2.1.5	2.1.5	NUM
ajst-18324	51	33	.	.	PUNCT
ajst-18324	51	34	unbalanced	unbalanced	ADJ
ajst-18324	51	35	dataset	dataset	NOUN
ajst-18324	51	36	processing	processing	NOUN
ajst-18324	51	37	the	the	DET
ajst-18324	51	38	number	number	NOUN
ajst-18324	51	39	of	of	ADP
ajst-18324	51	40	samples	sample	NOUN
ajst-18324	51	41	in	in	ADP
ajst-18324	51	42	each	each	DET
ajst-18324	51	43	class	class	NOUN
ajst-18324	51	44	is	be	AUX
ajst-18324	51	45	quite	quite	ADV
ajst-18324	51	46	different	different	ADJ
ajst-18324	51	47	,	,	PUNCT
ajst-18324	51	48	which	which	PRON
ajst-18324	51	49	affects	affect	VERB
ajst-18324	51	50	the	the	DET
ajst-18324	51	51	prediction	prediction	NOUN
ajst-18324	51	52	effect	effect	NOUN
ajst-18324	51	53	of	of	ADP
ajst-18324	51	54	the	the	DET
ajst-18324	51	55	classifier	classifier	NOUN
ajst-18324	51	56	.	.	PUNCT
ajst-18324	52	1	in	in	ADP
ajst-18324	52	2	this	this	DET
ajst-18324	52	3	paper	paper	NOUN
ajst-18324	52	4	,	,	PUNCT
ajst-18324	52	5	random	random	ADJ
ajst-18324	52	6	oversampling	oversampling	NOUN
ajst-18324	52	7	is	be	AUX
ajst-18324	52	8	used	use	VERB
ajst-18324	52	9	to	to	PART
ajst-18324	52	10	deal	deal	VERB
ajst-18324	52	11	with	with	ADP
ajst-18324	52	12	the	the	DET
ajst-18324	52	13	unbalanced	unbalanced	ADJ
ajst-18324	52	14	data	datum	NOUN
ajst-18324	52	15	set	set	NOUN
ajst-18324	52	16	,	,	PUNCT
ajst-18324	52	17	that	that	ADV
ajst-18324	52	18	is	is	ADV
ajst-18324	52	19	,	,	PUNCT
ajst-18324	52	20	random	random	ADJ
ajst-18324	52	21	replication	replication	NOUN
ajst-18324	52	22	of	of	ADP
ajst-18324	52	23	minority	minority	NOUN
ajst-18324	52	24	samples	sample	NOUN
ajst-18324	52	25	to	to	PART
ajst-18324	52	26	make	make	VERB
ajst-18324	52	27	the	the	DET
ajst-18324	52	28	number	number	NOUN
ajst-18324	52	29	of	of	ADP
ajst-18324	52	30	minority	minority	NOUN
ajst-18324	52	31	samples	sample	NOUN
ajst-18324	52	32	equal	equal	ADJ
ajst-18324	52	33	to	to	ADP
ajst-18324	52	34	the	the	DET
ajst-18324	52	35	number	number	NOUN
ajst-18324	52	36	of	of	ADP
ajst-18324	52	37	majority	majority	NOUN
ajst-18324	52	38	samples	sample	NOUN
ajst-18324	52	39	,	,	PUNCT
ajst-18324	52	40	so	so	SCONJ
ajst-18324	52	41	that	that	SCONJ
ajst-18324	52	42	a	a	DET
ajst-18324	52	43	new	new	ADJ
ajst-18324	52	44	balanced	balanced	ADJ
ajst-18324	52	45	data	datum	NOUN
ajst-18324	52	46	set	set	VERB
ajst-18324	52	47	finally	finally	ADV
ajst-18324	52	48	contains	contain	VERB
ajst-18324	52	49	784	784	NUM
ajst-18324	52	50	samples	sample	NOUN
ajst-18324	52	51	.	.	PUNCT
ajst-18324	53	1	2.1.6	2.1.6	X
ajst-18324	53	2	.	.	PROPN
ajst-18324	53	3	shuffle	shuffle	PROPN
ajst-18324	53	4	dataset	dataset	VERB
ajst-18324	53	5	the	the	DET
ajst-18324	53	6	order	order	NOUN
ajst-18324	53	7	of	of	ADP
ajst-18324	53	8	the	the	DET
ajst-18324	53	9	data	datum	NOUN
ajst-18324	53	10	set	set	NOUN
ajst-18324	53	11	may	may	AUX
ajst-18324	53	12	contain	contain	VERB
ajst-18324	53	13	some	some	DET
ajst-18324	53	14	biases	bias	NOUN
ajst-18324	53	15	.	.	PUNCT
ajst-18324	54	1	by	by	ADP
ajst-18324	54	2	shuffling	shuffle	VERB
ajst-18324	54	3	the	the	DET
ajst-18324	54	4	data	datum	NOUN
ajst-18324	54	5	set	set	VERB
ajst-18324	54	6	,	,	PUNCT
ajst-18324	54	7	the	the	DET
ajst-18324	54	8	model	model	NOUN
ajst-18324	54	9	can	can	AUX
ajst-18324	54	10	get	get	VERB
ajst-18324	54	11	more	more	ADV
ajst-18324	54	12	different	different	ADJ
ajst-18324	54	13	types	type	NOUN
ajst-18324	54	14	of	of	ADP
ajst-18324	54	15	data	datum	NOUN
ajst-18324	54	16	in	in	ADP
ajst-18324	54	17	training	training	NOUN
ajst-18324	54	18	,	,	PUNCT
ajst-18324	54	19	which	which	PRON
ajst-18324	54	20	is	be	AUX
ajst-18324	54	21	helpful	helpful	ADJ
ajst-18324	54	22	for	for	ADP
ajst-18324	54	23	the	the	DET
ajst-18324	54	24	model	model	NOUN
ajst-18324	54	25	to	to	PART
ajst-18324	54	26	better	well	ADV
ajst-18324	54	27	generalize	generalize	VERB
ajst-18324	54	28	the	the	DET
ajst-18324	54	29	data	datum	NOUN
ajst-18324	54	30	that	that	PRON
ajst-18324	54	31	has	have	AUX
ajst-18324	54	32	not	not	PART
ajst-18324	54	33	been	be	AUX
ajst-18324	54	34	seen	see	VERB
ajst-18324	54	35	before	before	ADV
ajst-18324	54	36	.	.	PUNCT
ajst-18324	55	1	3	3	X
ajst-18324	55	2	.	.	NOUN
ajst-18324	55	3	feature	feature	NOUN
ajst-18324	55	4	selection	selection	NOUN
ajst-18324	55	5	the	the	DET
ajst-18324	55	6	17	17	NUM
ajst-18324	55	7	features	feature	NOUN
ajst-18324	55	8	with	with	ADP
ajst-18324	55	9	the	the	DET
ajst-18324	55	10	strongest	strong	ADJ
ajst-18324	55	11	correlation	correlation	NOUN
ajst-18324	55	12	were	be	AUX
ajst-18324	55	13	selected	select	VERB
ajst-18324	55	14	from	from	ADP
ajst-18324	55	15	35	35	NUM
ajst-18324	55	16	clinical	clinical	ADJ
ajst-18324	55	17	features	feature	NOUN
ajst-18324	55	18	by	by	ADP
ajst-18324	55	19	spearman	spearman	NOUN
ajst-18324	55	20	correlation	correlation	NOUN
ajst-18324	55	21	coefficient	coefficient	NOUN
ajst-18324	55	22	.	.	PUNCT
ajst-18324	56	1	table	table	NOUN
ajst-18324	56	2	2	2	NUM
ajst-18324	56	3	.	.	PUNCT
ajst-18324	56	4	feature	feature	NOUN
ajst-18324	56	5	selection	selection	NOUN
ajst-18324	56	6	feature	feature	NOUN
ajst-18324	56	7	creatinine_lower_level	creatinine_lower_level	ADJ
ajst-18324	56	8	creatinine_upper_limit	creatinine_upper_limit	NOUN
ajst-18324	56	9	platelet_result_lower_limit	platelet_result_lower_limit	NOUN
ajst-18324	56	10	platelet_result_upper_limit	platelet_result_upper_limit	NOUN
ajst-18324	56	11	sample_type_id	sample_type_id	PROPN
ajst-18324	56	12	year_of_initial_pathologic_diagnosis	year_of_initial_pathologic_diagnosis	PROPN
ajst-18324	56	13	new_tumor_event_after_initial_treatment	new_tumor_event_after_initial_treatment	PROPN
ajst-18324	57	1	pathologic_m	pathologic_m	NOUN
ajst-18324	57	2	pathologic_n	pathologic_n	ADJ
ajst-18324	57	3	pathologic_t	pathologic_t	NOUN
ajst-18324	57	4	pathologic_stage	pathologic_stage	NOUN
ajst-18324	57	5	person_neoplasm_cancer_status	person_neoplasm_cancer_status	ADJ
ajst-18324	57	6	post_op_ablation_embolization_tx	post_op_ablation_embolization_tx	NOUN
ajst-18324	57	7	residual_tumor	residual_tumor	NOUN
ajst-18324	57	8	specimen_collection_method_name	specimen_collection_method_name	ADJ
ajst-18324	57	9	tissue_retrospective_collection_indicator	tissue_retrospective_collection_indicator	NOUN
ajst-18324	57	10	vital_status	vital_status	NOUN
ajst-18324	57	11	4	4	NUM
ajst-18324	57	12	.	.	PUNCT
ajst-18324	57	13	machine	machine	NOUN
ajst-18324	57	14	learning	learn	VERB
ajst-18324	57	15	algorithm	algorithm	PROPN
ajst-18324	57	16	4.1	4.1	NUM
ajst-18324	57	17	.	.	PUNCT
ajst-18324	58	1	classification	classification	NOUN
ajst-18324	58	2	algorithm	algorithm	NOUN
ajst-18324	58	3	4.1.1	4.1.1	NUM
ajst-18324	58	4	.	.	PUNCT
ajst-18324	59	1	knn	knn	VERB
ajst-18324	59	2	the	the	DET
ajst-18324	59	3	k	k	PROPN
ajst-18324	59	4	nearest	near	ADJ
ajst-18324	59	5	training	training	NOUN
ajst-18324	59	6	samples	sample	NOUN
ajst-18324	59	7	are	be	AUX
ajst-18324	59	8	found	find	VERB
ajst-18324	59	9	out	out	ADP
ajst-18324	59	10	by	by	ADP
ajst-18324	59	11	calculation	calculation	NOUN
ajst-18324	59	12	and	and	CCONJ
ajst-18324	59	13	the	the	DET
ajst-18324	59	14	classes	class	NOUN
ajst-18324	59	15	of	of	ADP
ajst-18324	59	16	the	the	DET
ajst-18324	59	17	k	k	PROPN
ajst-18324	59	18	training	training	NOUN
ajst-18324	59	19	samples	sample	NOUN
ajst-18324	59	20	are	be	AUX
ajst-18324	59	21	known	know	VERB
ajst-18324	59	22	.	.	PUNCT
ajst-18324	60	1	then	then	ADV
ajst-18324	60	2	the	the	DET
ajst-18324	60	3	unknown	unknown	ADJ
ajst-18324	60	4	class	class	NOUN
ajst-18324	60	5	samples	sample	NOUN
ajst-18324	60	6	are	be	AUX
ajst-18324	60	7	predicted	predict	VERB
ajst-18324	60	8	according	accord	VERB
ajst-18324	60	9	to	to	ADP
ajst-18324	60	10	the	the	DET
ajst-18324	60	11	information	information	NOUN
ajst-18324	60	12	of	of	ADP
ajst-18324	60	13	the	the	DET
ajst-18324	60	14	k	k	PROPN
ajst-18324	60	15	training	training	NOUN
ajst-18324	60	16	samples	sample	NOUN
ajst-18324	60	17	.	.	PUNCT
ajst-18324	61	1	euclidean	euclidean	ADJ
ajst-18324	61	2	distance	distance	NOUN
ajst-18324	61	3	is	be	AUX
ajst-18324	61	4	used	use	VERB
ajst-18324	61	5	to	to	PART
ajst-18324	61	6	calculate	calculate	VERB
ajst-18324	61	7	the	the	DET
ajst-18324	61	8	distance	distance	NOUN
ajst-18324	61	9	,	,	PUNCT
ajst-18324	61	10	and	and	CCONJ
ajst-18324	61	11	the	the	DET
ajst-18324	61	12	voting	voting	NOUN
ajst-18324	61	13	method	method	NOUN
ajst-18324	61	14	is	be	AUX
ajst-18324	61	15	used	use	VERB
ajst-18324	61	16	to	to	PART
ajst-18324	61	17	quickly	quickly	ADV
ajst-18324	61	18	judge	judge	VERB
ajst-18324	61	19	which	which	DET
ajst-18324	61	20	class	class	NOUN
ajst-18324	61	21	the	the	DET
ajst-18324	61	22	unclassified	unclassified	ADJ
ajst-18324	61	23	samples	sample	NOUN
ajst-18324	61	24	belong	belong	VERB
ajst-18324	61	25	to	to	ADP
ajst-18324	61	26	.	.	PUNCT
ajst-18324	62	1	4.1.2	4.1.2	NUM
ajst-18324	62	2	.	.	PUNCT
ajst-18324	62	3	naive	naive	ADJ
ajst-18324	62	4	bayes	baye	NOUN
ajst-18324	62	5	a	a	DET
ajst-18324	62	6	classification	classification	NOUN
ajst-18324	62	7	algorithm	algorithm	NOUN
ajst-18324	62	8	using	use	VERB
ajst-18324	62	9	probability	probability	NOUN
ajst-18324	62	10	statistics	statistic	NOUN
ajst-18324	62	11	knowledge	knowledge	NOUN
ajst-18324	62	12	.	.	PUNCT
ajst-18324	63	1	in	in	ADP
ajst-18324	63	2	essence	essence	NOUN
ajst-18324	63	3	,	,	PUNCT
ajst-18324	63	4	bayesian	bayesian	NOUN
ajst-18324	63	5	algorithm	algorithm	NOUN
ajst-18324	63	6	actually	actually	ADV
ajst-18324	63	7	infers	infer	VERB
ajst-18324	63	8	a	a	DET
ajst-18324	63	9	prior	prior	ADJ
ajst-18324	63	10	probability	probability	NOUN
ajst-18324	63	11	according	accord	VERB
ajst-18324	63	12	to	to	ADP
ajst-18324	63	13	the	the	DET
ajst-18324	63	14	existing	exist	VERB
ajst-18324	63	15	knowledge	knowledge	NOUN
ajst-18324	63	16	,	,	PUNCT
ajst-18324	63	17	and	and	CCONJ
ajst-18324	63	18	then	then	ADV
ajst-18324	63	19	constantly	constantly	ADV
ajst-18324	63	20	adjusts	adjust	VERB
ajst-18324	63	21	this	this	DET
ajst-18324	63	22	probability	probability	NOUN
ajst-18324	63	23	according	accord	VERB
ajst-18324	63	24	to	to	ADP
ajst-18324	63	25	the	the	DET
ajst-18324	63	26	new	new	ADJ
ajst-18324	63	27	evidence	evidence	NOUN
ajst-18324	63	28	.	.	PUNCT
ajst-18324	64	1	for	for	ADP
ajst-18324	64	2	the	the	DET
ajst-18324	64	3	unclassified	unclassified	ADJ
ajst-18324	64	4	samples	sample	NOUN
ajst-18324	64	5	,	,	PUNCT
ajst-18324	64	6	the	the	DET
ajst-18324	64	7	probability	probability	NOUN
ajst-18324	64	8	of	of	ADP
ajst-18324	64	9	each	each	DET
ajst-18324	64	10	class	class	NOUN
ajst-18324	64	11	under	under	ADP
ajst-18324	64	12	the	the	DET
ajst-18324	64	13	condition	condition	NOUN
ajst-18324	64	14	that	that	SCONJ
ajst-18324	64	15	the	the	DET
ajst-18324	64	16	sample	sample	NOUN
ajst-18324	64	17	appears	appear	VERB
ajst-18324	64	18	is	be	AUX
ajst-18324	64	19	calculated	calculate	VERB
ajst-18324	64	20	,	,	PUNCT
ajst-18324	64	21	and	and	CCONJ
ajst-18324	64	22	the	the	DET
ajst-18324	64	23	sample	sample	NOUN
ajst-18324	64	24	belongs	belong	VERB
ajst-18324	64	25	to	to	ADP
ajst-18324	64	26	the	the	DET
ajst-18324	64	27	class	class	NOUN
ajst-18324	64	28	with	with	ADP
ajst-18324	64	29	the	the	DET
ajst-18324	64	30	greatest	great	ADJ
ajst-18324	64	31	probability	probability	NOUN
ajst-18324	64	32	.	.	PUNCT
ajst-18324	65	1	4.1.3	4.1.3	X
ajst-18324	65	2	.	.	PUNCT
ajst-18324	65	3	logistic	logistic	ADJ
ajst-18324	65	4	regression	regression	NOUN
ajst-18324	65	5	using	use	VERB
ajst-18324	65	6	hypothesis	hypothesis	NOUN
ajst-18324	65	7	testing	testing	NOUN
ajst-18324	65	8	to	to	PART
ajst-18324	65	9	statistically	statistically	ADV
ajst-18324	65	10	infer	infer	VERB
ajst-18324	65	11	and	and	CCONJ
ajst-18324	65	12	analyze	analyze	VERB
ajst-18324	65	13	data	datum	NOUN
ajst-18324	65	14	.	.	PUNCT
ajst-18324	66	1	the	the	DET
ajst-18324	66	2	variables	variable	NOUN
ajst-18324	66	3	are	be	AUX
ajst-18324	66	4	screened	screen	VERB
ajst-18324	66	5	by	by	ADP
ajst-18324	66	6	calculating	calculate	VERB
ajst-18324	66	7	the	the	DET
ajst-18324	66	8	regression	regression	NOUN
ajst-18324	66	9	coefficient	coefficient	NOUN
ajst-18324	66	10	of	of	ADP
ajst-18324	66	11	each	each	DET
ajst-18324	66	12	variable	variable	NOUN
ajst-18324	66	13	,	,	PUNCT
ajst-18324	66	14	and	and	CCONJ
ajst-18324	66	15	establish	establish	VERB
ajst-18324	66	16	regression	regression	NOUN
ajst-18324	66	17	model	model	NOUN
ajst-18324	66	18	with	with	ADP
ajst-18324	66	19	maximum	maximum	ADJ
ajst-18324	66	20	likelihood	likelihood	NOUN
ajst-18324	66	21	method	method	NOUN
ajst-18324	66	22	.	.	PUNCT
ajst-18324	67	1	4.1.4	4.1.4	X
ajst-18324	67	2	.	.	PUNCT
ajst-18324	68	1	svm	svm	VERB
ajst-18324	68	2	the	the	DET
ajst-18324	68	3	svm	svm	ADJ
ajst-18324	68	4	model	model	NOUN
ajst-18324	68	5	represents	represent	VERB
ajst-18324	68	6	instances	instance	NOUN
ajst-18324	68	7	as	as	ADP
ajst-18324	68	8	points	point	NOUN
ajst-18324	68	9	in	in	ADP
ajst-18324	68	10	space	space	NOUN
ajst-18324	68	11	such	such	ADJ
ajst-18324	68	12	that	that	DET
ajst-18324	68	13	mappings	mapping	NOUN
ajst-18324	68	14	allow	allow	VERB
ajst-18324	68	15	instances	instance	NOUN
ajst-18324	68	16	of	of	ADP
ajst-18324	68	17	individual	individual	ADJ
ajst-18324	68	18	categories	category	NOUN
ajst-18324	68	19	to	to	PART
ajst-18324	68	20	be	be	AUX
ajst-18324	68	21	separated	separate	VERB
ajst-18324	68	22	by	by	ADP
ajst-18324	68	23	as	as	ADV
ajst-18324	68	24	wide	wide	ADJ
ajst-18324	68	25	a	a	DET
ajst-18324	68	26	significant	significant	ADJ
ajst-18324	68	27	interval	interval	NOUN
ajst-18324	68	28	as	as	ADP
ajst-18324	68	29	possible	possible	ADJ
ajst-18324	68	30	.	.	PUNCT
ajst-18324	69	1	the	the	DET
ajst-18324	69	2	new	new	ADJ
ajst-18324	69	3	instances	instance	NOUN
ajst-18324	69	4	are	be	AUX
ajst-18324	69	5	then	then	ADV
ajst-18324	69	6	mapped	map	VERB
ajst-18324	69	7	to	to	ADP
ajst-18324	69	8	the	the	DET
ajst-18324	69	9	same	same	ADJ
ajst-18324	69	10	space	space	NOUN
ajst-18324	69	11	.	.	PUNCT
ajst-18324	70	1	the	the	DET
ajst-18324	70	2	category	category	NOUN
ajst-18324	70	3	they	they	PRON
ajst-18324	70	4	belong	belong	VERB
ajst-18324	70	5	to	to	ADP
ajst-18324	70	6	is	be	AUX
ajst-18324	70	7	predicted	predict	VERB
ajst-18324	70	8	based	base	VERB
ajst-18324	70	9	on	on	ADP
ajst-18324	70	10	which	which	DET
ajst-18324	70	11	side	side	NOUN
ajst-18324	70	12	of	of	ADP
ajst-18324	70	13	the	the	DET
ajst-18324	70	14	interval	interval	NOUN
ajst-18324	70	15	they	they	PRON
ajst-18324	70	16	fall	fall	VERB
ajst-18324	70	17	on	on	ADP
ajst-18324	70	18	.	.	PUNCT
ajst-18324	71	1	4.1.5	4.1.5	X
ajst-18324	71	2	.	.	PUNCT
ajst-18324	71	3	random	random	ADJ
ajst-18324	71	4	forest	forest	NOUN
ajst-18324	71	5	a	a	DET
ajst-18324	71	6	multi	multi	ADJ
ajst-18324	71	7	-	-	ADJ
ajst-18324	71	8	classifier	classifier	ADJ
ajst-18324	71	9	with	with	ADP
ajst-18324	71	10	decision	decision	NOUN
ajst-18324	71	11	tree	tree	NOUN
ajst-18324	71	12	algorithm	algorithm	NOUN
ajst-18324	71	13	as	as	ADP
ajst-18324	71	14	metaclassifier	metaclassifi	ADJ
ajst-18324	71	15	.	.	PUNCT
ajst-18324	72	1	to	to	PART
ajst-18324	72	2	generate	generate	VERB
ajst-18324	72	3	a	a	DET
ajst-18324	72	4	new	new	ADJ
ajst-18324	72	5	training	training	NOUN
ajst-18324	72	6	sample	sample	NOUN
ajst-18324	72	7	set	set	NOUN
ajst-18324	72	8	,	,	PUNCT
ajst-18324	72	9	rf	rf	PROPN
ajst-18324	72	10	uses	use	VERB
ajst-18324	72	11	bootstrap	bootstrap	NOUN
ajst-18324	72	12	resampling	resample	VERB
ajst-18324	72	13	technique	technique	NOUN
ajst-18324	72	14	to	to	PART
ajst-18324	72	15	randomly	randomly	ADV
ajst-18324	72	16	extract	extract	VERB
ajst-18324	72	17	k	k	PROPN
ajst-18324	72	18	53	53	NUM
ajst-18324	72	19	samples	sample	NOUN
ajst-18324	72	20	from	from	ADP
ajst-18324	72	21	the	the	DET
ajst-18324	72	22	original	original	ADJ
ajst-18324	72	23	training	training	NOUN
ajst-18324	72	24	sample	sample	NOUN
ajst-18324	72	25	set	set	VERB
ajst-18324	72	26	.	.	PUNCT
ajst-18324	73	1	random	random	ADJ
ajst-18324	73	2	sampling	sampling	NOUN
ajst-18324	73	3	is	be	AUX
ajst-18324	73	4	repeated	repeat	VERB
ajst-18324	73	5	and	and	CCONJ
ajst-18324	73	6	then	then	ADV
ajst-18324	73	7	n	n	PRON
ajst-18324	73	8	classification	classification	NOUN
ajst-18324	73	9	trees	tree	NOUN
ajst-18324	73	10	are	be	AUX
ajst-18324	73	11	generated	generate	VERB
ajst-18324	73	12	based	base	VERB
ajst-18324	73	13	on	on	ADP
ajst-18324	73	14	the	the	DET
ajst-18324	73	15	sample	sample	NOUN
ajst-18324	73	16	set	set	NOUN
ajst-18324	73	17	sampled	sample	VERB
ajst-18324	73	18	by	by	ADP
ajst-18324	73	19	bootstrap	bootstrap	NOUN
ajst-18324	73	20	.	.	PUNCT
ajst-18324	74	1	finally	finally	ADV
ajst-18324	74	2	a	a	DET
ajst-18324	74	3	random	random	ADJ
ajst-18324	74	4	forest	forest	NOUN
ajst-18324	74	5	is	be	AUX
ajst-18324	74	6	formed	form	VERB
ajst-18324	74	7	.	.	PUNCT
ajst-18324	75	1	4.1.6	4.1.6	X
ajst-18324	75	2	.	.	PUNCT
ajst-18324	75	3	xgboost	xgboost	PROPN
ajst-18324	75	4	in	in	ADP
ajst-18324	75	5	the	the	DET
ajst-18324	75	6	construction	construction	NOUN
ajst-18324	75	7	of	of	ADP
ajst-18324	75	8	multiple	multiple	ADJ
ajst-18324	75	9	weak	weak	ADJ
ajst-18324	75	10	classifiers	classifier	NOUN
ajst-18324	75	11	,	,	PUNCT
ajst-18324	75	12	boosting	boost	VERB
ajst-18324	75	13	adjusts	adjust	VERB
ajst-18324	75	14	the	the	DET
ajst-18324	75	15	probability	probability	NOUN
ajst-18324	75	16	of	of	ADP
ajst-18324	75	17	each	each	DET
ajst-18324	75	18	sample	sample	NOUN
ajst-18324	75	19	being	be	AUX
ajst-18324	75	20	selected	select	VERB
ajst-18324	75	21	according	accord	VERB
ajst-18324	75	22	to	to	ADP
ajst-18324	75	23	the	the	DET
ajst-18324	75	24	prediction	prediction	NOUN
ajst-18324	75	25	results	result	NOUN
ajst-18324	75	26	of	of	ADP
ajst-18324	75	27	the	the	DET
ajst-18324	75	28	previous	previous	ADJ
ajst-18324	75	29	weak	weak	ADJ
ajst-18324	75	30	classifier	classifier	NOUN
ajst-18324	75	31	for	for	ADP
ajst-18324	75	32	each	each	DET
ajst-18324	75	33	training	training	NOUN
ajst-18324	75	34	set	set	NOUN
ajst-18324	75	35	sample	sample	NOUN
ajst-18324	75	36	.	.	PUNCT
ajst-18324	76	1	xgboost	xgboost	PROPN
ajst-18324	76	2	is	be	AUX
ajst-18324	76	3	a	a	DET
ajst-18324	76	4	machine	machine	NOUN
ajst-18324	76	5	learning	learn	VERB
ajst-18324	76	6	algorithm	algorithm	NOUN
ajst-18324	76	7	based	base	VERB
ajst-18324	76	8	on	on	ADP
ajst-18324	76	9	gradient	gradient	ADJ
ajst-18324	76	10	boosting	boost	VERB
ajst-18324	76	11	framework	framework	NOUN
ajst-18324	76	12	[	[	X
ajst-18324	76	13	10	10	NUM
ajst-18324	76	14	]	]	PUNCT
ajst-18324	76	15	.	.	PUNCT
ajst-18324	77	1	4.2	4.2	NUM
ajst-18324	77	2	.	.	PUNCT
ajst-18324	77	3	grid	grid	NOUN
ajst-18324	77	4	search	search	NOUN
ajst-18324	77	5	parameter	parameter	NOUN
ajst-18324	77	6	optimization	optimization	NOUN
ajst-18324	77	7	optimize	optimize	VERB
ajst-18324	77	8	several	several	ADJ
ajst-18324	77	9	common	common	ADJ
ajst-18324	77	10	parameters	parameter	NOUN
ajst-18324	77	11	of	of	ADP
ajst-18324	77	12	xgboost	xgboost	PROPN
ajst-18324	77	13	.	.	PUNCT
ajst-18324	78	1	in	in	ADP
ajst-18324	78	2	this	this	DET
ajst-18324	78	3	study	study	NOUN
ajst-18324	78	4	,	,	PUNCT
ajst-18324	78	5	the	the	DET
ajst-18324	78	6	five	five	NUM
ajst-18324	78	7	parameters	parameter	NOUN
ajst-18324	78	8	including	include	VERB
ajst-18324	78	9	learning_rate	learning_rate	PROPN
ajst-18324	78	10	,	,	PUNCT
ajst-18324	78	11	subsample	subsample	NOUN
ajst-18324	78	12	,	,	PUNCT
ajst-18324	78	13	colsample_bytree	colsample_bytree	PROPN
ajst-18324	78	14	,	,	PUNCT
ajst-18324	78	15	max_depth	max_depth	PROPN
ajst-18324	78	16	,	,	PUNCT
ajst-18324	78	17	min_child_weight	min_child_weight	PROPN
ajst-18324	78	18	are	be	AUX
ajst-18324	78	19	used	use	VERB
ajst-18324	78	20	for	for	ADP
ajst-18324	78	21	grid	grid	NOUN
ajst-18324	78	22	search	search	NOUN
ajst-18324	78	23	.	.	PUNCT
ajst-18324	79	1	the	the	DET
ajst-18324	79	2	basic	basic	ADJ
ajst-18324	79	3	idea	idea	NOUN
ajst-18324	79	4	of	of	ADP
ajst-18324	79	5	grid	grid	NOUN
ajst-18324	79	6	search	search	NOUN
ajst-18324	79	7	algorithm	algorithm	NOUN
ajst-18324	79	8	is	be	AUX
ajst-18324	79	9	exhaustive	exhaustive	ADJ
ajst-18324	79	10	search	search	NOUN
ajst-18324	79	11	,	,	PUNCT
ajst-18324	79	12	that	that	ADV
ajst-18324	79	13	is	is	ADV
ajst-18324	79	14	,	,	PUNCT
ajst-18324	79	15	to	to	PART
ajst-18324	79	16	try	try	VERB
ajst-18324	79	17	every	every	DET
ajst-18324	79	18	possibility	possibility	NOUN
ajst-18324	79	19	through	through	ADP
ajst-18324	79	20	loop	loop	NOUN
ajst-18324	79	21	traversal	traversal	NOUN
ajst-18324	79	22	among	among	ADP
ajst-18324	79	23	all	all	DET
ajst-18324	79	24	candidate	candidate	NOUN
ajst-18324	79	25	parameter	parameter	NOUN
ajst-18324	79	26	choices	choice	NOUN
ajst-18324	79	27	.	.	PUNCT
ajst-18324	80	1	the	the	DET
ajst-18324	80	2	best	good	ADJ
ajst-18324	80	3	parameter	parameter	NOUN
ajst-18324	80	4	is	be	AUX
ajst-18324	80	5	the	the	DET
ajst-18324	80	6	final	final	ADJ
ajst-18324	80	7	result	result	NOUN
ajst-18324	80	8	.	.	PUNCT
ajst-18324	81	1	5	5	X
ajst-18324	81	2	.	.	PUNCT
ajst-18324	81	3	model	model	NOUN
ajst-18324	81	4	performance	performance	NOUN
ajst-18324	81	5	5.1	5.1	NUM
ajst-18324	81	6	.	.	PUNCT
ajst-18324	82	1	ten	ten	NUM
ajst-18324	82	2	fold	fold	PROPN
ajst-18324	82	3	cross	cross	NOUN
ajst-18324	82	4	validation	validation	NOUN
ajst-18324	82	5	ten	ten	NUM
ajst-18324	82	6	fold	fold	PROPN
ajst-18324	82	7	cross	cross	NOUN
ajst-18324	82	8	validation	validation	NOUN
ajst-18324	82	9	is	be	AUX
ajst-18324	82	10	to	to	PART
ajst-18324	82	11	divide	divide	VERB
ajst-18324	82	12	liver	liver	NOUN
ajst-18324	82	13	cancer	cancer	NOUN
ajst-18324	82	14	patients	patient	NOUN
ajst-18324	82	15	into	into	ADP
ajst-18324	82	16	10	10	NUM
ajst-18324	82	17	subsets	subset	NOUN
ajst-18324	82	18	and	and	CCONJ
ajst-18324	82	19	take	take	VERB
ajst-18324	82	20	9	9	NUM
ajst-18324	82	21	sample	sample	NOUN
ajst-18324	82	22	subsets	subset	NOUN
ajst-18324	82	23	as	as	ADP
ajst-18324	82	24	training	training	NOUN
ajst-18324	82	25	sets	set	NOUN
ajst-18324	82	26	every	every	DET
ajst-18324	82	27	time	time	NOUN
ajst-18324	82	28	,	,	PUNCT
ajst-18324	82	29	and	and	CCONJ
ajst-18324	82	30	use	use	VERB
ajst-18324	82	31	classifier	classifier	NOUN
ajst-18324	82	32	to	to	PART
ajst-18324	82	33	label	label	VERB
ajst-18324	82	34	the	the	DET
ajst-18324	82	35	survival	survival	NOUN
ajst-18324	82	36	time	time	NOUN
ajst-18324	82	37	of	of	ADP
ajst-18324	82	38	liver	liver	NOUN
ajst-18324	82	39	cancer	cancer	NOUN
ajst-18324	82	40	patients	patient	NOUN
ajst-18324	82	41	in	in	ADP
ajst-18324	82	42	the	the	DET
ajst-18324	82	43	training	training	NOUN
ajst-18324	82	44	set	set	NOUN
ajst-18324	82	45	.	.	PUNCT
ajst-18324	83	1	the	the	DET
ajst-18324	83	2	remaining	remain	VERB
ajst-18324	83	3	subset	subset	NOUN
ajst-18324	83	4	is	be	AUX
ajst-18324	83	5	used	use	VERB
ajst-18324	83	6	to	to	PART
ajst-18324	83	7	test	test	VERB
ajst-18324	83	8	.	.	PUNCT
ajst-18324	84	1	the	the	DET
ajst-18324	84	2	output	output	NOUN
ajst-18324	84	3	result	result	NOUN
ajst-18324	84	4	is	be	AUX
ajst-18324	84	5	the	the	DET
ajst-18324	84	6	average	average	NOUN
ajst-18324	84	7	of	of	ADP
ajst-18324	84	8	precision	precision	NOUN
ajst-18324	84	9	,	,	PUNCT
ajst-18324	84	10	recall	recall	VERB
ajst-18324	84	11	and	and	CCONJ
ajst-18324	84	12	f1_score	f1_score	ADJ
ajst-18324	84	13	on	on	ADP
ajst-18324	84	14	10	10	NUM
ajst-18324	84	15	test	test	NOUN
ajst-18324	84	16	subsets	subset	NOUN
ajst-18324	84	17	.	.	PUNCT
ajst-18324	85	1	through	through	ADP
ajst-18324	85	2	comparison	comparison	NOUN
ajst-18324	85	3	,	,	PUNCT
ajst-18324	85	4	obtain	obtain	VERB
ajst-18324	85	5	the	the	DET
ajst-18324	85	6	optimal	optimal	ADJ
ajst-18324	85	7	classification	classification	NOUN
ajst-18324	85	8	algorithm	algorithm	NOUN
ajst-18324	86	1	[	[	X
ajst-18324	86	2	11	11	NUM
ajst-18324	86	3	]	]	PUNCT
ajst-18324	86	4	.	.	PUNCT
ajst-18324	87	1	figure	figure	NOUN
ajst-18324	87	2	1	1	NUM
ajst-18324	87	3	.	.	X
ajst-18324	87	4	ten	ten	NUM
ajst-18324	87	5	fold	fold	PROPN
ajst-18324	87	6	cross	cross	NOUN
ajst-18324	87	7	validation	validation	NOUN
ajst-18324	87	8	flow	flow	NOUN
ajst-18324	87	9	chart	chart	NOUN
ajst-18324	87	10	5.2	5.2	NUM
ajst-18324	87	11	.	.	PUNCT
ajst-18324	88	1	common	common	ADJ
ajst-18324	88	2	evaluation	evaluation	NOUN
ajst-18324	88	3	indexes	index	NOUN
ajst-18324	88	4	of	of	ADP
ajst-18324	88	5	classification	classification	NOUN
ajst-18324	88	6	models	model	NOUN
ajst-18324	88	7	accuracy	accuracy	NOUN
ajst-18324	88	8	:	:	PUNCT
ajst-18324	88	9	the	the	DET
ajst-18324	88	10	proportion	proportion	NOUN
ajst-18324	88	11	of	of	ADP
ajst-18324	88	12	the	the	DET
ajst-18324	88	13	samples	sample	NOUN
ajst-18324	88	14	whose	whose	DET
ajst-18324	88	15	real	real	ADJ
ajst-18324	88	16	survival	survival	NOUN
ajst-18324	88	17	labels	label	NOUN
ajst-18324	88	18	are	be	AUX
ajst-18324	88	19	consistent	consistent	ADJ
ajst-18324	88	20	with	with	ADP
ajst-18324	88	21	the	the	DET
ajst-18324	88	22	predicted	predict	VERB
ajst-18324	88	23	survival	survival	NOUN
ajst-18324	88	24	labels	label	NOUN
ajst-18324	88	25	of	of	ADP
ajst-18324	88	26	hepatocellular	hepatocellular	ADJ
ajst-18324	88	27	carcinoma	carcinoma	NOUN
ajst-18324	88	28	patients	patient	NOUN
ajst-18324	88	29	in	in	ADP
ajst-18324	88	30	all	all	DET
ajst-18324	88	31	samples	sample	NOUN
ajst-18324	88	32	.	.	PUNCT
ajst-18324	89	1	take	take	VERB
ajst-18324	89	2	classification	classification	NOUN
ajst-18324	89	3	1	1	NUM
ajst-18324	89	4	as	as	ADP
ajst-18324	89	5	an	an	DET
ajst-18324	89	6	example	example	NOUN
ajst-18324	89	7	(	(	PUNCT
ajst-18324	89	8	at	at	ADP
ajst-18324	89	9	this	this	DET
ajst-18324	89	10	time	time	NOUN
ajst-18324	89	11	,	,	PUNCT
ajst-18324	89	12	classification	classification	NOUN
ajst-18324	89	13	1	1	NUM
ajst-18324	89	14	is	be	AUX
ajst-18324	89	15	regarded	regard	VERB
ajst-18324	89	16	as	as	ADP
ajst-18324	89	17	a	a	DET
ajst-18324	89	18	positive	positive	ADJ
ajst-18324	89	19	sample	sample	NOUN
ajst-18324	89	20	and	and	CCONJ
ajst-18324	89	21	the	the	DET
ajst-18324	89	22	rest	rest	NOUN
ajst-18324	89	23	are	be	AUX
ajst-18324	89	24	negative	negative	ADJ
ajst-18324	89	25	samples	sample	NOUN
ajst-18324	89	26	):	):	PUNCT
ajst-18324	89	27	precision	precision	NOUN
ajst-18324	89	28	:	:	PUNCT
ajst-18324	89	29	the	the	DET
ajst-18324	89	30	proportion	proportion	NOUN
ajst-18324	89	31	of	of	ADP
ajst-18324	89	32	samples	sample	NOUN
ajst-18324	89	33	with	with	ADP
ajst-18324	89	34	both	both	PRON
ajst-18324	89	35	predicted	predict	VERB
ajst-18324	89	36	and	and	CCONJ
ajst-18324	89	37	real	real	ADJ
ajst-18324	89	38	survival	survival	NOUN
ajst-18324	89	39	labels	label	NOUN
ajst-18324	89	40	of	of	ADP
ajst-18324	89	41	1	1	NUM
ajst-18324	89	42	to	to	ADP
ajst-18324	89	43	all	all	DET
ajst-18324	89	44	samples	sample	NOUN
ajst-18324	89	45	with	with	ADP
ajst-18324	89	46	predicted	predict	VERB
ajst-18324	89	47	labels	label	NOUN
ajst-18324	89	48	of	of	ADP
ajst-18324	89	49	1	1	NUM
ajst-18324	89	50	.	.	PUNCT
ajst-18324	90	1	recall	recall	NOUN
ajst-18324	90	2	:	:	PUNCT
ajst-18324	90	3	the	the	DET
ajst-18324	90	4	proportion	proportion	NOUN
ajst-18324	90	5	of	of	ADP
ajst-18324	90	6	samples	sample	NOUN
ajst-18324	90	7	with	with	ADP
ajst-18324	90	8	both	both	PRON
ajst-18324	90	9	predicted	predict	VERB
ajst-18324	90	10	and	and	CCONJ
ajst-18324	90	11	real	real	ADJ
ajst-18324	90	12	survival	survival	NOUN
ajst-18324	90	13	labels	label	NOUN
ajst-18324	90	14	of	of	ADP
ajst-18324	90	15	1	1	NUM
ajst-18324	90	16	to	to	ADP
ajst-18324	90	17	all	all	DET
ajst-18324	90	18	samples	sample	NOUN
ajst-18324	90	19	with	with	ADP
ajst-18324	90	20	real	real	ADJ
ajst-18324	90	21	labels	label	NOUN
ajst-18324	90	22	of	of	ADP
ajst-18324	90	23	1	1	NUM
ajst-18324	90	24	.	.	PUNCT
ajst-18324	90	25	precision	precision	NOUN
ajst-18324	90	26	and	and	CCONJ
ajst-18324	90	27	recall	recall	NOUN
ajst-18324	90	28	often	often	ADV
ajst-18324	90	29	have	have	VERB
ajst-18324	90	30	contradictory	contradictory	ADJ
ajst-18324	90	31	situations	situation	NOUN
ajst-18324	90	32	,	,	PUNCT
ajst-18324	90	33	which	which	PRON
ajst-18324	90	34	need	need	VERB
ajst-18324	90	35	to	to	PART
ajst-18324	90	36	be	be	AUX
ajst-18324	90	37	considered	consider	VERB
ajst-18324	90	38	comprehensively	comprehensively	ADV
ajst-18324	90	39	.	.	PUNCT
ajst-18324	91	1	f1_score	f1_score	ADJ
ajst-18324	91	2	is	be	AUX
ajst-18324	91	3	the	the	DET
ajst-18324	91	4	harmonic	harmonic	ADJ
ajst-18324	91	5	average	average	NOUN
ajst-18324	91	6	of	of	ADP
ajst-18324	91	7	precision	precision	NOUN
ajst-18324	91	8	and	and	CCONJ
ajst-18324	91	9	recall	recall	NOUN
ajst-18324	91	10	.	.	PUNCT
ajst-18324	92	1	f1_score	f1_score	ADJ
ajst-18324	92	2	2	2	NUM
ajst-18324	92	3	6	6	NUM
ajst-18324	92	4	.	.	PUNCT
ajst-18324	92	5	results	result	VERB
ajst-18324	92	6	6.1	6.1	NUM
ajst-18324	92	7	.	.	PUNCT
ajst-18324	93	1	comparison	comparison	NOUN
ajst-18324	93	2	of	of	ADP
ajst-18324	93	3	classification	classification	NOUN
ajst-18324	93	4	algorithms	algorithm	NOUN
ajst-18324	93	5	knn	knn	PROPN
ajst-18324	93	6	,	,	PUNCT
ajst-18324	93	7	naive	naive	ADJ
ajst-18324	93	8	bayes	bayes	NOUN
ajst-18324	93	9	,	,	PUNCT
ajst-18324	93	10	logistic	logistic	ADJ
ajst-18324	93	11	regression	regression	NOUN
ajst-18324	93	12	,	,	PUNCT
ajst-18324	93	13	svm	svm	ADJ
ajst-18324	93	14	,	,	PUNCT
ajst-18324	93	15	random	random	ADJ
ajst-18324	93	16	forest	forest	NOUN
ajst-18324	93	17	and	and	CCONJ
ajst-18324	93	18	xgboost	xgboost	NOUN
ajst-18324	93	19	are	be	AUX
ajst-18324	93	20	used	use	VERB
ajst-18324	93	21	as	as	ADP
ajst-18324	93	22	classifiers	classifier	NOUN
ajst-18324	93	23	to	to	PART
ajst-18324	93	24	predict	predict	VERB
ajst-18324	93	25	the	the	DET
ajst-18324	93	26	survival	survival	NOUN
ajst-18324	93	27	time	time	NOUN
ajst-18324	93	28	of	of	ADP
ajst-18324	93	29	patients	patient	NOUN
ajst-18324	93	30	with	with	ADP
ajst-18324	93	31	liver	liver	NOUN
ajst-18324	93	32	cancer	cancer	NOUN
ajst-18324	93	33	.	.	PUNCT
ajst-18324	94	1	by	by	ADP
ajst-18324	94	2	comparing	compare	VERB
ajst-18324	94	3	the	the	DET
ajst-18324	94	4	accuracy	accuracy	NOUN
ajst-18324	94	5	under	under	ADP
ajst-18324	94	6	ten	ten	NUM
ajst-18324	94	7	fold	fold	PROPN
ajst-18324	94	8	cross	cross	NOUN
ajst-18324	94	9	validation	validation	NOUN
ajst-18324	94	10	,	,	PUNCT
ajst-18324	94	11	the	the	DET
ajst-18324	94	12	optimal	optimal	ADJ
ajst-18324	94	13	classification	classification	NOUN
ajst-18324	94	14	algorithm	algorithm	NOUN
ajst-18324	94	15	is	be	AUX
ajst-18324	94	16	obtained	obtain	VERB
ajst-18324	94	17	.	.	PUNCT
ajst-18324	94	18	table	table	NOUN
ajst-18324	95	1	3	3	NUM
ajst-18324	95	2	.	.	PUNCT
ajst-18324	95	3	accuracy	accuracy	NOUN
ajst-18324	95	4	of	of	ADP
ajst-18324	95	5	classification	classification	NOUN
ajst-18324	95	6	algorithms	algorithm	NOUN
ajst-18324	95	7	algorithm	algorithm	NOUN
ajst-18324	95	8	accuracy	accuracy	NOUN
ajst-18324	95	9	knn	knn	PROPN
ajst-18324	95	10	0.592	0.592	NUM
ajst-18324	95	11	naive	naive	ADJ
ajst-18324	95	12	bayes	bayes	NOUN
ajst-18324	95	13	0.468	0.468	NUM
ajst-18324	95	14	logistic	logistic	ADJ
ajst-18324	95	15	regression	regression	NOUN
ajst-18324	95	16	0.632	0.632	NUM
ajst-18324	95	17	svm	svm	PROPN
ajst-18324	95	18	0.603	0.603	NUM
ajst-18324	95	19	random	random	ADJ
ajst-18324	95	20	forest	forest	NOUN
ajst-18324	95	21	0.899	0.899	NUM
ajst-18324	95	22	xgboost	xgboost	ADV
ajst-18324	95	23	0.901	0.901	NUM
ajst-18324	96	1	the	the	DET
ajst-18324	96	2	conclusion	conclusion	NOUN
ajst-18324	96	3	is	be	AUX
ajst-18324	96	4	that	that	PRON
ajst-18324	96	5	random	random	ADJ
ajst-18324	96	6	forest	forest	NOUN
ajst-18324	96	7	algorithm	algorithm	NOUN
ajst-18324	96	8	and	and	CCONJ
ajst-18324	96	9	xgboost	xgboost	ADJ
ajst-18324	96	10	algorithm	algorithm	PROPN
ajst-18324	96	11	have	have	VERB
ajst-18324	96	12	obvious	obvious	ADJ
ajst-18324	96	13	performance	performance	NOUN
ajst-18324	96	14	in	in	ADP
ajst-18324	96	15	multiclassification	multiclassification	NOUN
ajst-18324	96	16	prediction	prediction	NOUN
ajst-18324	96	17	.	.	PUNCT
ajst-18324	97	1	6.2	6.2	NUM
ajst-18324	97	2	.	.	PUNCT
ajst-18324	98	1	xgboost	xgboost	X
ajst-18324	99	1	optimization	optimization	VERB
ajst-18324	99	2	the	the	DET
ajst-18324	99	3	parameters	parameter	NOUN
ajst-18324	99	4	of	of	ADP
ajst-18324	99	5	xgboost	xgboost	PROPN
ajst-18324	99	6	algorithm	algorithm	PROPN
ajst-18324	99	7	are	be	AUX
ajst-18324	99	8	optimized	optimize	VERB
ajst-18324	99	9	by	by	ADP
ajst-18324	99	10	grid	grid	NOUN
ajst-18324	99	11	search	search	NOUN
ajst-18324	99	12	.	.	PUNCT
ajst-18324	100	1	table	table	NOUN
ajst-18324	100	2	4	4	NUM
ajst-18324	100	3	.	.	PUNCT
ajst-18324	101	1	accuracy	accuracy	NOUN
ajst-18324	101	2	of	of	ADP
ajst-18324	101	3	optimization	optimization	NOUN
ajst-18324	101	4	algorithm	algorithm	NOUN
ajst-18324	101	5	accuracy	accuracy	NOUN
ajst-18324	102	1	xgboost	xgboost	ADV
ajst-18324	102	2	0.901	0.901	NUM
ajst-18324	102	3	gs	gs	NOUN
ajst-18324	102	4	-	-	PUNCT
ajst-18324	102	5	xgboost	xgboost	PROPN
ajst-18324	102	6	0.904	0.904	NUM
ajst-18324	102	7	54	54	NUM
ajst-18324	102	8	table	table	NOUN
ajst-18324	102	9	5	5	NUM
ajst-18324	102	10	.	.	PUNCT
ajst-18324	102	11	comparison	comparison	NOUN
ajst-18324	102	12	of	of	ADP
ajst-18324	102	13	precision	precision	NOUN
ajst-18324	102	14	,	,	PUNCT
ajst-18324	102	15	recall	recall	VERB
ajst-18324	102	16	and	and	CCONJ
ajst-18324	102	17	f1_score	f1_score	ADJ
ajst-18324	102	18	after	after	ADP
ajst-18324	102	19	optimization	optimization	NOUN
ajst-18324	102	20	class	class	NOUN
ajst-18324	102	21	0	0	NUM
ajst-18324	102	22	class	class	NOUN
ajst-18324	102	23	1	1	NUM
ajst-18324	102	24	class	class	NOUN
ajst-18324	102	25	2	2	NUM
ajst-18324	102	26	class	class	NOUN
ajst-18324	102	27	3	3	NUM
ajst-18324	102	28	xgboost	xgboost	NOUN
ajst-18324	103	1	gs	gs	INTJ
ajst-18324	104	1	xgboost	xgboost	ADV
ajst-18324	104	2	gs	gs	INTJ
ajst-18324	105	1	xgboost	xgboost	ADV
ajst-18324	105	2	gs	gs	INTJ
ajst-18324	106	1	xgboost	xgboost	ADV
ajst-18324	106	2	gs	gs	PROPN
ajst-18324	106	3	precision	precision	VERB
ajst-18324	106	4	0.875	0.875	NUM
ajst-18324	106	5	0.864	0.864	NUM
ajst-18324	106	6	0.864	0.864	NUM
ajst-18324	106	7	0.879	0.879	NUM
ajst-18324	106	8	0.913	0.913	NUM
ajst-18324	106	9	0.917	0.917	NUM
ajst-18324	106	10	0.942	0.942	NUM
ajst-18324	106	11	0.951	0.951	NUM
ajst-18324	106	12	recall	recall	VERB
ajst-18324	106	13	0.857	0.857	NUM
ajst-18324	106	14	0.872	0.872	NUM
ajst-18324	106	15	0.781	0.781	NUM
ajst-18324	106	16	0.781	0.781	NUM
ajst-18324	106	17	0.964	0.964	NUM
ajst-18324	106	18	0.964	0.964	NUM
ajst-18324	106	19	1	1	NUM
ajst-18324	106	20	1	1	NUM
ajst-18324	106	21	f1_score	f1_score	NOUN
ajst-18324	106	22	0.866	0.866	NUM
ajst-18324	106	23	0.868	0.868	NUM
ajst-18324	106	24	0.820	0.820	NUM
ajst-18324	106	25	0.827	0.827	NUM
ajst-18324	106	26	0.938	0.938	NUM
ajst-18324	106	27	0.940	0.940	NUM
ajst-18324	106	28	0.970	0.970	NUM
ajst-18324	106	29	0.975	0.975	NUM
ajst-18324	106	30	after	after	ADP
ajst-18324	106	31	optimizing	optimize	VERB
ajst-18324	106	32	the	the	DET
ajst-18324	106	33	parameters	parameter	NOUN
ajst-18324	106	34	of	of	ADP
ajst-18324	106	35	xgboost	xgboost	ADV
ajst-18324	106	36	by	by	ADP
ajst-18324	106	37	grid	grid	NOUN
ajst-18324	106	38	search	search	NOUN
ajst-18324	106	39	,	,	PUNCT
ajst-18324	106	40	the	the	DET
ajst-18324	106	41	average	average	ADJ
ajst-18324	106	42	value	value	NOUN
ajst-18324	106	43	of	of	ADP
ajst-18324	106	44	f1_score	f1_score	ADJ
ajst-18324	106	45	of	of	ADP
ajst-18324	106	46	each	each	DET
ajst-18324	106	47	classification	classification	NOUN
ajst-18324	106	48	is	be	AUX
ajst-18324	106	49	increased	increase	VERB
ajst-18324	106	50	from	from	ADP
ajst-18324	106	51	0.899	0.899	NUM
ajst-18324	106	52	to	to	ADP
ajst-18324	106	53	0.903	0.903	NUM
ajst-18324	106	54	,	,	PUNCT
ajst-18324	106	55	which	which	PRON
ajst-18324	106	56	is	be	AUX
ajst-18324	106	57	better	well	ADJ
ajst-18324	106	58	than	than	ADP
ajst-18324	106	59	the	the	DET
ajst-18324	106	60	default	default	NOUN
ajst-18324	106	61	parameters	parameter	NOUN
ajst-18324	106	62	.	.	PUNCT
ajst-18324	107	1	this	this	PRON
ajst-18324	107	2	shows	show	VERB
ajst-18324	107	3	that	that	SCONJ
ajst-18324	107	4	the	the	DET
ajst-18324	107	5	model	model	NOUN
ajst-18324	107	6	optimization	optimization	NOUN
ajst-18324	107	7	is	be	AUX
ajst-18324	107	8	very	very	ADV
ajst-18324	107	9	necessary	necessary	ADJ
ajst-18324	107	10	.	.	PUNCT
ajst-18324	108	1	7	7	X
ajst-18324	108	2	.	.	X
ajst-18324	108	3	summary	summary	NOUN
ajst-18324	108	4	this	this	PRON
ajst-18324	108	5	is	be	AUX
ajst-18324	108	6	a	a	DET
ajst-18324	108	7	study	study	NOUN
ajst-18324	108	8	on	on	ADP
ajst-18324	108	9	the	the	DET
ajst-18324	108	10	survival	survival	NOUN
ajst-18324	108	11	time	time	NOUN
ajst-18324	108	12	of	of	ADP
ajst-18324	108	13	patients	patient	NOUN
ajst-18324	108	14	with	with	ADP
ajst-18324	108	15	hepatocellular	hepatocellular	ADJ
ajst-18324	108	16	carcinoma	carcinoma	NOUN
ajst-18324	108	17	after	after	ADP
ajst-18324	108	18	operation	operation	NOUN
ajst-18324	108	19	based	base	VERB
ajst-18324	108	20	on	on	ADP
ajst-18324	108	21	machine	machine	NOUN
ajst-18324	108	22	learning	learning	NOUN
ajst-18324	108	23	.	.	PUNCT
ajst-18324	109	1	this	this	DET
ajst-18324	109	2	article	article	NOUN
ajst-18324	109	3	uses	use	VERB
ajst-18324	109	4	1	1	NUM
ajst-18324	109	5	year	year	NOUN
ajst-18324	109	6	,	,	PUNCT
ajst-18324	109	7	3	3	NUM
ajst-18324	109	8	years	year	NOUN
ajst-18324	109	9	and	and	CCONJ
ajst-18324	109	10	5	5	NUM
ajst-18324	109	11	years	year	NOUN
ajst-18324	109	12	as	as	SCONJ
ajst-18324	109	13	the	the	DET
ajst-18324	109	14	threshold	threshold	NOUN
ajst-18324	109	15	to	to	PART
ajst-18324	109	16	divide	divide	VERB
ajst-18324	109	17	the	the	DET
ajst-18324	109	18	samples	sample	NOUN
ajst-18324	109	19	,	,	PUNCT
ajst-18324	109	20	so	so	SCONJ
ajst-18324	109	21	that	that	SCONJ
ajst-18324	109	22	the	the	DET
ajst-18324	109	23	prediction	prediction	NOUN
ajst-18324	109	24	time	time	NOUN
ajst-18324	109	25	is	be	AUX
ajst-18324	109	26	more	more	ADV
ajst-18324	109	27	accurate	accurate	ADJ
ajst-18324	109	28	.	.	PUNCT
ajst-18324	110	1	the	the	DET
ajst-18324	110	2	dimension	dimension	NOUN
ajst-18324	110	3	of	of	ADP
ajst-18324	110	4	clinical	clinical	ADJ
ajst-18324	110	5	feature	feature	NOUN
ajst-18324	110	6	data	datum	NOUN
ajst-18324	110	7	is	be	AUX
ajst-18324	110	8	low	low	ADJ
ajst-18324	110	9	,	,	PUNCT
ajst-18324	110	10	so	so	SCONJ
ajst-18324	110	11	we	we	PRON
ajst-18324	110	12	use	use	VERB
ajst-18324	110	13	spearman	spearman	NOUN
ajst-18324	110	14	correlation	correlation	NOUN
ajst-18324	110	15	coefficient	coefficient	NOUN
ajst-18324	110	16	to	to	PART
ajst-18324	110	17	find	find	VERB
ajst-18324	110	18	out	out	ADP
ajst-18324	110	19	the	the	DET
ajst-18324	110	20	features	feature	NOUN
ajst-18324	110	21	with	with	ADP
ajst-18324	110	22	strong	strong	ADJ
ajst-18324	110	23	correlation	correlation	NOUN
ajst-18324	110	24	to	to	PART
ajst-18324	110	25	predict	predict	VERB
ajst-18324	110	26	.	.	PUNCT
ajst-18324	111	1	by	by	ADP
ajst-18324	111	2	comparing	compare	VERB
ajst-18324	111	3	six	six	NUM
ajst-18324	111	4	classification	classification	NOUN
ajst-18324	111	5	algorithms	algorithm	NOUN
ajst-18324	111	6	,	,	PUNCT
ajst-18324	111	7	we	we	PRON
ajst-18324	111	8	finally	finally	ADV
ajst-18324	111	9	choose	choose	VERB
ajst-18324	111	10	xgboost	xgboost	PROPN
ajst-18324	111	11	model	model	NOUN
ajst-18324	111	12	after	after	ADP
ajst-18324	111	13	grid	grid	NOUN
ajst-18324	111	14	search	search	NOUN
ajst-18324	111	15	parameter	parameter	NOUN
ajst-18324	111	16	optimization	optimization	NOUN
ajst-18324	111	17	to	to	PART
ajst-18324	111	18	classify	classify	VERB
ajst-18324	111	19	samples	sample	NOUN
ajst-18324	111	20	.	.	PUNCT
ajst-18324	112	1	finally	finally	ADV
ajst-18324	112	2	,	,	PUNCT
ajst-18324	112	3	the	the	DET
ajst-18324	112	4	average	average	ADJ
ajst-18324	112	5	value	value	NOUN
ajst-18324	112	6	of	of	ADP
ajst-18324	112	7	the	the	DET
ajst-18324	112	8	four	four	NUM
ajst-18324	112	9	classifications	classification	NOUN
ajst-18324	112	10	of	of	ADP
ajst-18324	112	11	f1_score	f1_score	ADJ
ajst-18324	112	12	can	can	AUX
ajst-18324	112	13	reach	reach	VERB
ajst-18324	112	14	0.903	0.903	NUM
ajst-18324	112	15	.	.	PUNCT
ajst-18324	113	1	references	reference	NOUN
ajst-18324	113	2	[	[	X
ajst-18324	113	3	1	1	NUM
ajst-18324	113	4	]	]	X
ajst-18324	113	5	zhou	zhou	PROPN
ajst-18324	113	6	,	,	PUNCT
ajst-18324	113	7	l.j	l.j	PROPN
ajst-18324	113	8	.	.	PROPN
ajst-18324	113	9	,	,	PUNCT
ajst-18324	113	10	cui	cui	PROPN
ajst-18324	113	11	,	,	PUNCT
ajst-18324	113	12	j.	j.	PROPN
ajst-18324	113	13	,	,	PUNCT
ajst-18324	113	14	zhao	zhao	PROPN
ajst-18324	113	15	,	,	PUNCT
ajst-18324	113	16	j.j	j.j	PROPN
ajst-18324	113	17	.	.	PROPN
ajst-18324	113	18	(	(	PUNCT
ajst-18324	113	19	2009	2009	NUM
ajst-18324	113	20	)	)	PUNCT
ajst-18324	113	21	research	research	NOUN
ajst-18324	113	22	progress	progress	NOUN
ajst-18324	113	23	of	of	ADP
ajst-18324	113	24	survival	survival	NOUN
ajst-18324	113	25	evaluation	evaluation	NOUN
ajst-18324	113	26	tools	tool	NOUN
ajst-18324	113	27	for	for	ADP
ajst-18324	113	28	dying	die	VERB
ajst-18324	113	29	cancer	cancer	NOUN
ajst-18324	113	30	patients	patient	NOUN
ajst-18324	113	31	.	.	PUNCT
ajst-18324	114	1	chinese	chinese	ADJ
ajst-18324	114	2	modern	modern	ADJ
ajst-18324	114	3	nursing	nursing	NOUN
ajst-18324	114	4	,	,	PUNCT
ajst-18324	114	5	01:94	01:94	NUM
ajst-18324	114	6	-	-	SYM
ajst-18324	114	7	96	96	NUM
ajst-18324	114	8	.	.	PUNCT
ajst-18324	115	1	[	[	X
ajst-18324	115	2	2	2	X
ajst-18324	115	3	]	]	PUNCT
ajst-18324	115	4	he	he	PRON
ajst-18324	115	5	,	,	PUNCT
ajst-18324	115	6	j.	j.	PROPN
ajst-18324	115	7	,	,	PUNCT
ajst-18324	115	8	he	he	PRON
ajst-18324	115	9	,	,	PUNCT
ajst-18324	115	10	x.m	x.m	PROPN
ajst-18324	115	11	.	.	PROPN
ajst-18324	115	12	,	,	PUNCT
ajst-18324	115	13	liu	liu	PROPN
ajst-18324	115	14	,	,	PUNCT
ajst-18324	115	15	q.	q.	PROPN
ajst-18324	115	16	,	,	PUNCT
ajst-18324	115	17	et	et	PROPN
ajst-18324	115	18	al	al	PROPN
ajst-18324	115	19	.	.	PROPN
ajst-18324	115	20	(	(	PUNCT
ajst-18324	115	21	2001	2001	NUM
ajst-18324	115	22	)	)	PUNCT
ajst-18324	115	23	prediction	prediction	NOUN
ajst-18324	115	24	of	of	ADP
ajst-18324	115	25	survival	survival	NOUN
ajst-18324	115	26	time	time	NOUN
ajst-18324	115	27	of	of	ADP
ajst-18324	115	28	liver	liver	NOUN
ajst-18324	115	29	cancer	cancer	NOUN
ajst-18324	115	30	patients	patient	NOUN
ajst-18324	115	31	by	by	ADP
ajst-18324	115	32	bp	bp	PROPN
ajst-18324	115	33	neural	neural	ADJ
ajst-18324	115	34	network	network	NOUN
ajst-18324	115	35	.	.	PUNCT
ajst-18324	116	1	health	health	NOUN
ajst-18324	116	2	statistics	statistic	NOUN
ajst-18324	116	3	in	in	ADP
ajst-18324	116	4	china	china	PROPN
ajst-18324	116	5	,	,	PUNCT
ajst-18324	116	6	01:17	01:17	NUM
ajst-18324	116	7	-	-	SYM
ajst-18324	116	8	19	19	NUM
ajst-18324	116	9	.	.	PUNCT
ajst-18324	117	1	[	[	X
ajst-18324	117	2	3	3	NUM
ajst-18324	117	3	]	]	X
ajst-18324	117	4	shen	shen	NOUN
ajst-18324	117	5	,	,	PUNCT
ajst-18324	117	6	y.	y.	PROPN
ajst-18324	117	7	,	,	PUNCT
ajst-18324	117	8	zhuang	zhuang	PROPN
ajst-18324	117	9	,	,	PUNCT
ajst-18324	117	10	t.g	t.g	PROPN
ajst-18324	117	11	.	.	PROPN
ajst-18324	117	12	,	,	PUNCT
ajst-18324	117	13	cheng	cheng	PROPN
ajst-18324	117	14	,	,	PUNCT
ajst-18324	117	15	h.y	h.y	PROPN
ajst-18324	117	16	.	.	PROPN
ajst-18324	117	17	,	,	PUNCT
ajst-18324	117	18	et	et	PROPN
ajst-18324	117	19	al	al	PROPN
ajst-18324	117	20	.	.	PROPN
ajst-18324	117	21	(	(	PUNCT
ajst-18324	117	22	2004	2004	NUM
ajst-18324	117	23	)	)	PUNCT
ajst-18324	117	24	prediction	prediction	NOUN
ajst-18324	117	25	of	of	ADP
ajst-18324	117	26	prognosis	prognosis	NOUN
ajst-18324	117	27	of	of	ADP
ajst-18324	117	28	primary	primary	ADJ
ajst-18324	117	29	liver	liver	NOUN
ajst-18324	117	30	cancer	cancer	NOUN
ajst-18324	117	31	by	by	ADP
ajst-18324	117	32	naive	naive	ADJ
ajst-18324	117	33	bayes	bayes	NOUN
ajst-18324	117	34	algorithm	algorithm	NOUN
ajst-18324	117	35	.	.	PUNCT
ajst-18324	118	1	space	space	NOUN
ajst-18324	118	2	medicine	medicine	PROPN
ajst-18324	118	3	&	&	CCONJ
ajst-18324	118	4	medical	medical	ADJ
ajst-18324	118	5	engineering	engineering	PROPN
ajst-18324	118	6	,	,	PUNCT
ajst-18324	118	7	05:350	05:350	PROPN
ajst-18324	118	8	-	-	PUNCT
ajst-18324	118	9	354	354	NUM
ajst-18324	118	10	.	.	PUNCT
ajst-18324	119	1	[	[	X
ajst-18324	119	2	4	4	NUM
ajst-18324	119	3	]	]	PUNCT
ajst-18324	119	4	qiao	qiao	NOUN
ajst-18324	119	5	,	,	PUNCT
ajst-18324	119	6	g.	g.	PROPN
ajst-18324	119	7	,	,	PUNCT
ajst-18324	119	8	li	li	PROPN
ajst-18324	119	9	,	,	PUNCT
ajst-18324	119	10	j.	j.	PROPN
ajst-18324	119	11	,	,	PUNCT
ajst-18324	119	12	huang	huang	PROPN
ajst-18324	119	13	,	,	PUNCT
ajst-18324	119	14	a.	a.	PROPN
ajst-18324	119	15	,	,	PUNCT
ajst-18324	119	16	et	et	PROPN
ajst-18324	119	17	al	al	PROPN
ajst-18324	119	18	.	.	PUNCT
ajst-18324	119	19	(	(	PUNCT
ajst-18324	119	20	2014	2014	NUM
ajst-18324	119	21	)	)	PUNCT
ajst-18324	119	22	artificial	artificial	ADJ
ajst-18324	119	23	neural	neural	ADJ
ajst-18324	119	24	networking	network	VERB
ajst-18324	119	25	model	model	NOUN
ajst-18324	119	26	for	for	ADP
ajst-18324	119	27	the	the	DET
ajst-18324	119	28	prediction	prediction	NOUN
ajst-18324	119	29	of	of	ADP
ajst-18324	119	30	post	post	ADJ
ajst-18324	119	31	-	-	ADJ
ajst-18324	119	32	hepatectomy	hepatectomy	ADJ
ajst-18324	119	33	survival	survival	NOUN
ajst-18324	119	34	of	of	ADP
ajst-18324	119	35	patients	patient	NOUN
ajst-18324	119	36	with	with	ADP
ajst-18324	119	37	early	early	ADJ
ajst-18324	119	38	hepatocellular	hepatocellular	ADJ
ajst-18324	119	39	carcinoma	carcinoma	NOUN
ajst-18324	119	40	.	.	PUNCT
ajst-18324	120	1	journal	journal	NOUN
ajst-18324	120	2	of	of	ADP
ajst-18324	120	3	gastroenterology	gastroenterology	NOUN
ajst-18324	120	4	and	and	CCONJ
ajst-18324	120	5	hepatology	hepatology	NOUN
ajst-18324	120	6	,	,	PUNCT
ajst-18324	120	7	29:2014	29:2014	NOUN
ajst-18324	120	8	-	-	SYM
ajst-18324	120	9	2020	2020	NUM
ajst-18324	120	10	.	.	PUNCT
ajst-18324	121	1	[	[	X
ajst-18324	121	2	5	5	NUM
ajst-18324	121	3	]	]	SYM
ajst-18324	121	4	ho	ho	PROPN
ajst-18324	121	5	,	,	PUNCT
ajst-18324	121	6	w.h	w.h	PROPN
ajst-18324	121	7	.	.	PROPN
ajst-18324	121	8	,	,	PUNCT
ajst-18324	121	9	lee	lee	PROPN
ajst-18324	121	10	,	,	PUNCT
ajst-18324	121	11	k.t	k.t	PROPN
ajst-18324	121	12	.	.	PROPN
ajst-18324	121	13	,	,	PUNCT
ajst-18324	121	14	chen	chen	PROPN
ajst-18324	121	15	,	,	PUNCT
ajst-18324	121	16	h.y	h.y	PROPN
ajst-18324	121	17	.	.	PROPN
ajst-18324	121	18	,	,	PUNCT
ajst-18324	121	19	et	et	PROPN
ajst-18324	121	20	al	al	PROPN
ajst-18324	121	21	.	.	PROPN
ajst-18324	121	22	(	(	PUNCT
ajst-18324	121	23	2012	2012	NUM
ajst-18324	121	24	)	)	PUNCT
ajst-18324	121	25	disease	disease	NOUN
ajst-18324	121	26	-	-	PUNCT
ajst-18324	121	27	free	free	ADJ
ajst-18324	121	28	survival	survival	NOUN
ajst-18324	121	29	after	after	ADP
ajst-18324	121	30	hepatic	hepatic	ADJ
ajst-18324	121	31	resection	resection	NOUN
ajst-18324	121	32	in	in	ADP
ajst-18324	121	33	hepatocellular	hepatocellular	ADJ
ajst-18324	121	34	carcinoma	carcinoma	NOUN
ajst-18324	121	35	patients	patient	NOUN
ajst-18324	121	36	:	:	PUNCT
ajst-18324	121	37	a	a	DET
ajst-18324	121	38	prediction	prediction	NOUN
ajst-18324	121	39	approach	approach	NOUN
ajst-18324	121	40	using	use	VERB
ajst-18324	121	41	artificial	artificial	ADJ
ajst-18324	121	42	neural	neural	ADJ
ajst-18324	121	43	network	network	NOUN
ajst-18324	121	44	.	.	PUNCT
ajst-18324	122	1	plos	plos	PROPN
ajst-18324	122	2	one	one	NUM
ajst-18324	122	3	,	,	PUNCT
ajst-18324	122	4	7	7	NUM
ajst-18324	122	5	:	:	PUNCT
ajst-18324	122	6	e29179	e29179	VERB
ajst-18324	122	7	.	.	PUNCT
ajst-18324	123	1	[	[	X
ajst-18324	123	2	6	6	NUM
ajst-18324	123	3	]	]	X
ajst-18324	123	4	chiu	chiu	PROPN
ajst-18324	123	5	,	,	PUNCT
ajst-18324	123	6	h.c	h.c	PROPN
ajst-18324	123	7	.	.	PROPN
ajst-18324	123	8	,	,	PUNCT
ajst-18324	123	9	ho	ho	PROPN
ajst-18324	123	10	,	,	PUNCT
ajst-18324	123	11	t.w	t.w	PROPN
ajst-18324	123	12	.	.	PROPN
ajst-18324	123	13	,	,	PUNCT
ajst-18324	123	14	lee	lee	PROPN
ajst-18324	123	15	,	,	PUNCT
ajst-18324	123	16	k.t	k.t	PROPN
ajst-18324	123	17	.	.	PROPN
ajst-18324	123	18	,	,	PUNCT
ajst-18324	123	19	et	et	PROPN
ajst-18324	123	20	al	al	PROPN
ajst-18324	123	21	.	.	PROPN
ajst-18324	123	22	(	(	PUNCT
ajst-18324	123	23	2013	2013	NUM
ajst-18324	123	24	)	)	PUNCT
ajst-18324	123	25	mortality	mortality	NOUN
ajst-18324	123	26	predicted	predict	VERB
ajst-18324	123	27	accuracy	accuracy	NOUN
ajst-18324	123	28	for	for	ADP
ajst-18324	123	29	hepatocellular	hepatocellular	ADJ
ajst-18324	123	30	carcinoma	carcinoma	NOUN
ajst-18324	123	31	patients	patient	NOUN
ajst-18324	123	32	with	with	ADP
ajst-18324	123	33	hepatic	hepatic	ADJ
ajst-18324	123	34	resection	resection	NOUN
ajst-18324	123	35	using	use	VERB
ajst-18324	123	36	artificial	artificial	ADJ
ajst-18324	123	37	neural	neural	ADJ
ajst-18324	123	38	network	network	NOUN
ajst-18324	123	39	.	.	PUNCT
ajst-18324	124	1	the	the	DET
ajst-18324	124	2	scientific	scientific	ADJ
ajst-18324	124	3	world	world	NOUN
ajst-18324	124	4	journal	journal	NOUN
ajst-18324	124	5	,	,	PUNCT
ajst-18324	124	6	2013:201976	2013:201976	NUM
ajst-18324	124	7	.	.	PUNCT
ajst-18324	125	1	[	[	X
ajst-18324	125	2	7	7	X
ajst-18324	125	3	]	]	X
ajst-18324	125	4	zeng	zeng	PROPN
ajst-18324	125	5	,	,	PUNCT
ajst-18324	125	6	j.j	j.j	PROPN
ajst-18324	125	7	.	.	PROPN
ajst-18324	125	8	(	(	PUNCT
ajst-18324	125	9	2021	2021	NUM
ajst-18324	125	10	)	)	PUNCT
ajst-18324	125	11	prediction	prediction	NOUN
ajst-18324	125	12	model	model	NOUN
ajst-18324	125	13	of	of	ADP
ajst-18324	125	14	postoperative	postoperative	ADJ
ajst-18324	125	15	recurrence	recurrence	NOUN
ajst-18324	125	16	of	of	ADP
ajst-18324	125	17	liver	liver	NOUN
ajst-18324	125	18	cancer	cancer	NOUN
ajst-18324	125	19	.	.	PUNCT
ajst-18324	126	1	thesis	thesis	NOUN
ajst-18324	126	2	of	of	ADP
ajst-18324	126	3	fujian	fujian	PROPN
ajst-18324	126	4	medical	medical	PROPN
ajst-18324	126	5	university	university	NOUN
ajst-18324	126	6	.	.	PUNCT
ajst-18324	127	1	[	[	X
ajst-18324	127	2	8	8	NUM
ajst-18324	127	3	]	]	SYM
ajst-18324	127	4	li	li	PROPN
ajst-18324	127	5	,	,	PUNCT
ajst-18324	127	6	l.	l.	PROPN
ajst-18324	127	7	(	(	PUNCT
ajst-18324	127	8	2019	2019	NUM
ajst-18324	127	9	)	)	PUNCT
ajst-18324	127	10	prediction	prediction	NOUN
ajst-18324	127	11	model	model	NOUN
ajst-18324	127	12	of	of	ADP
ajst-18324	127	13	prognosis	prognosis	NOUN
ajst-18324	127	14	of	of	ADP
ajst-18324	127	15	liver	liver	NOUN
ajst-18324	127	16	cancer	cancer	NOUN
ajst-18324	127	17	based	base	VERB
ajst-18324	127	18	on	on	ADP
ajst-18324	127	19	machine	machine	NOUN
ajst-18324	127	20	learning	learning	NOUN
ajst-18324	127	21	.	.	PUNCT
ajst-18324	128	1	thesis	thesis	NOUN
ajst-18324	128	2	of	of	ADP
ajst-18324	128	3	xinjiang	xinjiang	PROPN
ajst-18324	128	4	medical	medical	PROPN
ajst-18324	128	5	university	university	PROPN
ajst-18324	128	6	.	.	PUNCT
ajst-18324	129	1	[	[	X
ajst-18324	129	2	9	9	NUM
ajst-18324	129	3	]	]	SYM
ajst-18324	129	4	ding	ding	NOUN
ajst-18324	129	5	,	,	PUNCT
ajst-18324	129	6	k.x	k.x	PROPN
ajst-18324	129	7	.	.	PROPN
ajst-18324	129	8	(	(	PUNCT
ajst-18324	129	9	2022	2022	NUM
ajst-18324	129	10	)	)	PUNCT
ajst-18324	129	11	prediction	prediction	NOUN
ajst-18324	129	12	of	of	ADP
ajst-18324	129	13	survival	survival	NOUN
ajst-18324	129	14	time	time	NOUN
ajst-18324	129	15	of	of	ADP
ajst-18324	129	16	liver	liver	NOUN
ajst-18324	129	17	cancer	cancer	NOUN
ajst-18324	129	18	based	base	VERB
ajst-18324	129	19	on	on	ADP
ajst-18324	129	20	machine	machine	NOUN
ajst-18324	129	21	learning	learning	NOUN
ajst-18324	129	22	.	.	PUNCT
ajst-18324	130	1	thesis	thesis	NOUN
ajst-18324	130	2	of	of	ADP
ajst-18324	130	3	huazhong	huazhong	PROPN
ajst-18324	130	4	agricultural	agricultural	ADJ
ajst-18324	130	5	university	university	NOUN
ajst-18324	130	6	.	.	PUNCT
ajst-18324	131	1	[	[	X
ajst-18324	131	2	10	10	NUM
ajst-18324	131	3	]	]	X
ajst-18324	131	4	li	li	PROPN
ajst-18324	131	5	,	,	PUNCT
ajst-18324	131	6	z.s	z.s	PROPN
ajst-18324	131	7	.	.	PROPN
ajst-18324	131	8	,	,	PUNCT
ajst-18324	131	9	liu	liu	PROPN
ajst-18324	131	10	,	,	PUNCT
ajst-18324	131	11	z.g	z.g	PROPN
ajst-18324	131	12	.	.	PUNCT
ajst-18324	131	13	(	(	PUNCT
ajst-18324	131	14	2019	2019	NUM
ajst-18324	131	15	)	)	PUNCT
ajst-18324	131	16	feature	feature	NOUN
ajst-18324	131	17	selection	selection	NOUN
ajst-18324	131	18	algorithm	algorithm	NOUN
ajst-18324	131	19	based	base	VERB
ajst-18324	131	20	on	on	ADP
ajst-18324	131	21	xgboost	xgboost	PROPN
ajst-18324	131	22	.	.	PUNCT
ajst-18324	131	23	journal	journal	PROPN
ajst-18324	131	24	of	of	ADP
ajst-18324	131	25	communications	communication	NOUN
ajst-18324	131	26	,	,	PUNCT
ajst-18324	131	27	10:101	10:101	NUM
ajst-18324	131	28	-	-	SYM
ajst-18324	131	29	108	108	NUM
ajst-18324	131	30	.	.	PUNCT
ajst-18324	132	1	[	[	X
ajst-18324	132	2	11	11	NUM
ajst-18324	132	3	]	]	SYM
ajst-18324	132	4	yang	yang	PROPN
ajst-18324	132	5	,	,	PUNCT
ajst-18324	132	6	x.l	x.l	PROPN
ajst-18324	132	7	.	.	PUNCT
ajst-18324	132	8	(	(	PUNCT
ajst-18324	132	9	2021	2021	NUM
ajst-18324	132	10	)	)	PUNCT
ajst-18324	132	11	overview	overview	NOUN
ajst-18324	132	12	of	of	ADP
ajst-18324	132	13	performance	performance	NOUN
ajst-18324	132	14	metrics	metric	NOUN
ajst-18324	132	15	of	of	ADP
ajst-18324	132	16	classification	classification	NOUN
ajst-18324	132	17	learning	learning	NOUN
ajst-18324	132	18	algorithms	algorithm	NOUN
ajst-18324	132	19	.	.	PUNCT
ajst-18324	133	1	computer	computer	NOUN
ajst-18324	133	2	science	science	NOUN
ajst-18324	133	3	,	,	PUNCT
ajst-18324	133	4	08:209219	08:209219	NUM
ajst-18324	133	5	.	.	PUNCT