id	sid	tid	token	lemma	pos
chd-217	1	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	AUX
chd-217	1	2	e1	e1	NOUN
chd-217	1	3	cancer	cancer	NOUN
chd-217	1	4	health	health	NOUN
chd-217	1	5	disparities	disparity	NOUN
chd-217	1	6	research	research	NOUN
chd-217	1	7	cancer	cancer	NOUN
chd-217	1	8	health	health	NOUN
chd-217	1	9	disparities	disparitie	VERB
chd-217	1	10	drivers	driver	NOUN
chd-217	1	11	with	with	ADP
chd-217	1	12	bertopic	bertopic	NOUN
chd-217	1	13	modelling	modelling	NOUN
chd-217	1	14	and	and	CCONJ
chd-217	1	15	pycaret	pycaret	ADJ
chd-217	1	16	evaluation	evaluation	NOUN
chd-217	1	17	mary	mary	PROPN
chd-217	1	18	adewunmi1,2	adewunmi1,2	PROPN
chd-217	1	19	;	;	PUNCT
chd-217	1	20	saksham	saksham	PROPN
chd-217	1	21	kumar	kumar	PROPN
chd-217	1	22	sharma3	sharma3	PROPN
chd-217	1	23	;	;	PUNCT
chd-217	1	24	nistha	nistha	PROPN
chd-217	1	25	sharma4	sharma4	PROPN
chd-217	1	26	;	;	PUNCT
chd-217	1	27	n	n	NUM
chd-217	1	28	sudha	sudha	PROPN
chd-217	1	29	sharma3	sharma3	NOUN
chd-217	1	30	;	;	PUNCT
chd-217	1	31	bayangmbe	bayangmbe	NOUN
chd-217	1	32	mounmo5	mounmo5	PROPN
chd-217	2	1	1university	1university	NUM
chd-217	2	2	of	of	ADP
chd-217	2	3	utas	utas	PROPN
chd-217	2	4	,	,	PUNCT
chd-217	2	5	australia	australia	PROPN
chd-217	2	6	,	,	PUNCT
chd-217	2	7	2nacetem	2nacetem	NUM
chd-217	2	8	,	,	PUNCT
chd-217	2	9	nigeria	nigeria	PRON
chd-217	2	10	,	,	PUNCT
chd-217	2	11	3maharaja	3maharaja	NUM
chd-217	2	12	surajmal	surajmal	PROPN
chd-217	2	13	institute	institute	NOUN
chd-217	2	14	of	of	ADP
chd-217	2	15	technology	technology	PROPN
chd-217	2	16	,	,	PUNCT
chd-217	2	17	india	india	PROPN
chd-217	2	18	,	,	PUNCT
chd-217	2	19	4pune	4pune	NUM
chd-217	2	20	institute	institute	NOUN
chd-217	2	21	of	of	ADP
chd-217	2	22	computer	computer	NOUN
chd-217	2	23	technology	technology	PROPN
chd-217	2	24	,	,	PUNCT
chd-217	2	25	india	india	PROPN
chd-217	2	26	,	,	PUNCT
chd-217	2	27	5kanda	5kanda	NUM
chd-217	2	28	weather	weather	NOUN
chd-217	2	29	group	group	NOUN
chd-217	2	30	,	,	PUNCT
chd-217	2	31	usa	usa	PROPN
chd-217	2	32	.	.	PROPN
chd-217	3	1	*	*	PUNCT
chd-217	3	2	corresponding	correspond	VERB
chd-217	3	3	author	author	NOUN
chd-217	3	4	:	:	PUNCT
chd-217	3	5	nistha	nistha	PROPN
chd-217	3	6	sharma	sharma	PROPN
chd-217	3	7	email	email	NOUN
chd-217	3	8	:	:	PUNCT
chd-217	3	9	sharmanistha2000@gmail.com	sharmanistha2000@gmail.com	X
chd-217	4	1	abstract	abstract	VERB
chd-217	4	2	the	the	DET
chd-217	4	3	complex	complex	ADJ
chd-217	4	4	interplay	interplay	NOUN
chd-217	4	5	of	of	ADP
chd-217	4	6	social	social	ADJ
chd-217	4	7	,	,	PUNCT
chd-217	4	8	behavioral	behavioral	ADJ
chd-217	4	9	,	,	PUNCT
chd-217	4	10	lifestyle	lifestyle	NOUN
chd-217	4	11	,	,	PUNCT
chd-217	4	12	environmental	environmental	ADJ
chd-217	4	13	,	,	PUNCT
chd-217	4	14	health	health	NOUN
chd-217	4	15	system	system	NOUN
chd-217	4	16	,	,	PUNCT
chd-217	4	17	and	and	CCONJ
chd-217	4	18	natural	natural	ADJ
chd-217	4	19	health	health	NOUN
chd-217	4	20	variables	variable	NOUN
chd-217	4	21	contribute	contribute	VERB
chd-217	4	22	to	to	ADP
chd-217	4	23	disparities	disparity	NOUN
chd-217	4	24	in	in	ADP
chd-217	4	25	cancer	cancer	NOUN
chd-217	4	26	treatment	treatment	NOUN
chd-217	4	27	across	across	ADP
chd-217	4	28	racial	racial	ADJ
chd-217	4	29	and	and	CCONJ
chd-217	4	30	ethnic	ethnic	ADJ
chd-217	4	31	groups	group	NOUN
chd-217	4	32	.	.	PUNCT
chd-217	5	1	consequently	consequently	ADV
chd-217	5	2	,	,	PUNCT
chd-217	5	3	it	it	PRON
chd-217	5	4	is	be	AUX
chd-217	5	5	necessary	necessary	ADJ
chd-217	5	6	to	to	PART
chd-217	5	7	identify	identify	VERB
chd-217	5	8	the	the	DET
chd-217	5	9	variables	variable	NOUN
chd-217	5	10	contributing	contribute	VERB
chd-217	5	11	to	to	ADP
chd-217	5	12	cancer	cancer	NOUN
chd-217	5	13	health	health	NOUN
chd-217	5	14	inequalities	inequality	NOUN
chd-217	5	15	and	and	CCONJ
chd-217	5	16	develop	develop	VERB
chd-217	5	17	strategies	strategy	NOUN
chd-217	5	18	to	to	PART
chd-217	5	19	achieve	achieve	VERB
chd-217	5	20	health	health	NOUN
chd-217	5	21	equality	equality	NOUN
chd-217	5	22	.	.	PUNCT
chd-217	6	1	pubmed	pubmed	PROPN
chd-217	6	2	abstract	abstract	PROPN
chd-217	6	3	on	on	ADP
chd-217	6	4	cancer	cancer	NOUN
chd-217	6	5	health	health	NOUN
chd-217	6	6	disparities	disparity	NOUN
chd-217	6	7	was	be	AUX
chd-217	6	8	scraped	scrape	VERB
chd-217	6	9	with	with	ADP
chd-217	6	10	a	a	DET
chd-217	6	11	bio.entrez	bio.entrez	NOUN
chd-217	6	12	python	python	NOUN
chd-217	6	13	package	package	NOUN
chd-217	6	14	.	.	PUNCT
chd-217	7	1	preprocessed	preprocesse	VERB
chd-217	7	2	data	datum	NOUN
chd-217	7	3	with	with	ADP
chd-217	7	4	regex	regex	PROPN
chd-217	7	5	and	and	CCONJ
chd-217	7	6	natural	natural	ADJ
chd-217	7	7	tool	tool	NOUN
chd-217	7	8	kit	kit	NOUN
chd-217	7	9	(	(	PUNCT
chd-217	7	10	nltk	nltk	PROPN
chd-217	7	11	)	)	PUNCT
chd-217	7	12	,	,	PUNCT
chd-217	7	13	topic	topic	NOUN
chd-217	7	14	modeling	modeling	NOUN
chd-217	7	15	with	with	ADP
chd-217	7	16	bertopic	bertopic	ADJ
chd-217	7	17	embeddings	embedding	NOUN
chd-217	7	18	,	,	PUNCT
chd-217	7	19	and	and	CCONJ
chd-217	7	20	c	c	X
chd-217	7	21	-	-	PUNCT
chd-217	7	22	tf	tf	NUM
chd-217	7	23	-	-	PUNCT
chd-217	7	24	idf	idf	NOUN
chd-217	7	25	to	to	PART
chd-217	7	26	construct	construct	VERB
chd-217	7	27	dense	dense	ADJ
chd-217	7	28	clusters	cluster	NOUN
chd-217	7	29	and	and	CCONJ
chd-217	7	30	analyze	analyze	VERB
chd-217	7	31	top	top	ADJ
chd-217	7	32	topics	topic	NOUN
chd-217	7	33	linked	link	VERB
chd-217	7	34	with	with	ADP
chd-217	7	35	cancer	cancer	NOUN
chd-217	7	36	health	health	NOUN
chd-217	7	37	disparities	disparity	NOUN
chd-217	7	38	.	.	PUNCT
chd-217	8	1	model	model	NOUN
chd-217	8	2	evaluation	evaluation	NOUN
chd-217	8	3	with	with	ADP
chd-217	8	4	pycaret	pycaret	ADJ
chd-217	8	5	coherence	coherence	NOUN
chd-217	8	6	score	score	NOUN
chd-217	8	7	and	and	CCONJ
chd-217	8	8	web	web	NOUN
chd-217	8	9	app	app	NOUN
chd-217	8	10	deployment	deployment	NOUN
chd-217	8	11	with	with	ADP
chd-217	8	12	streamlit	streamlit	NOUN
chd-217	8	13	.	.	PUNCT
chd-217	9	1	the	the	DET
chd-217	9	2	results	result	NOUN
chd-217	9	3	showed	show	VERB
chd-217	9	4	that	that	SCONJ
chd-217	9	5	topic	topic	NOUN
chd-217	9	6	32	32	NUM
chd-217	9	7	,	,	PUNCT
chd-217	9	8	with	with	SCONJ
chd-217	9	9	the	the	DET
chd-217	9	10	terms	term	NOUN
chd-217	9	11	obese	obese	VERB
chd-217	9	12	,	,	PUNCT
chd-217	9	13	female	female	ADJ
chd-217	9	14	,	,	PUNCT
chd-217	9	15	male	male	NOUN
chd-217	9	16	,	,	PUNCT
chd-217	9	17	school	school	NOUN
chd-217	9	18	,	,	PUNCT
chd-217	9	19	survey	survey	NOUN
chd-217	9	20	,	,	PUNCT
chd-217	9	21	student	student	NOUN
chd-217	9	22	,	,	PUNCT
chd-217	9	23	poet	poet	NOUN
chd-217	9	24	,	,	PUNCT
chd-217	9	25	and	and	CCONJ
chd-217	9	26	discrepancy	discrepancy	NOUN
chd-217	9	27	,	,	PUNCT
chd-217	9	28	had	have	VERB
chd-217	9	29	the	the	DET
chd-217	9	30	best	good	ADJ
chd-217	9	31	coherence	coherence	NOUN
chd-217	9	32	score	score	NOUN
chd-217	9	33	of	of	ADP
chd-217	9	34	0.3687	0.3687	NUM
chd-217	9	35	.	.	PUNCT
chd-217	10	1	in	in	ADP
chd-217	10	2	contrast	contrast	NOUN
chd-217	10	3	,	,	PUNCT
chd-217	10	4	topic	topic	NOUN
chd-217	10	5	8	8	NUM
chd-217	10	6	,	,	PUNCT
chd-217	10	7	with	with	ADP
chd-217	10	8	terms	term	NOUN
chd-217	10	9	prevalence	prevalence	NOUN
chd-217	10	10	,	,	PUNCT
chd-217	10	11	adult	adult	NOUN
chd-217	10	12	,	,	PUNCT
chd-217	10	13	income	income	NOUN
chd-217	10	14	,	,	PUNCT
chd-217	10	15	high	high	ADJ
chd-217	10	16	,	,	PUNCT
chd-217	10	17	usage	usage	NOUN
chd-217	10	18	,	,	PUNCT
chd-217	10	19	diabetes	diabetes	NOUN
chd-217	10	20	,	,	PUNCT
chd-217	10	21	education	education	NOUN
chd-217	10	22	,	,	PUNCT
chd-217	10	23	elderly	elderly	ADJ
chd-217	10	24	,	,	PUNCT
chd-217	10	25	change	change	NOUN
chd-217	10	26	,	,	PUNCT
chd-217	10	27	and	and	CCONJ
chd-217	10	28	low	low	ADV
chd-217	10	29	received	receive	VERB
chd-217	10	30	the	the	DET
chd-217	10	31	lowest	low	ADJ
chd-217	10	32	coherence	coherence	NOUN
chd-217	10	33	score	score	NOUN
chd-217	10	34	of	of	ADP
chd-217	10	35	0.3255	0.3255	NUM
chd-217	10	36	.	.	PUNCT
chd-217	11	1	the	the	DET
chd-217	11	2	model	model	NOUN
chd-217	11	3	classifies	classify	VERB
chd-217	11	4	each	each	DET
chd-217	11	5	subject	subject	ADJ
chd-217	11	6	word	word	NOUN
chd-217	11	7	score	score	NOUN
chd-217	11	8	based	base	VERB
chd-217	11	9	on	on	ADP
chd-217	11	10	the	the	DET
chd-217	11	11	scores	score	NOUN
chd-217	11	12	,	,	PUNCT
chd-217	11	13	the	the	DET
chd-217	11	14	granular	granular	ADJ
chd-217	11	15	topic	topic	NOUN
chd-217	11	16	concerns	concern	NOUN
chd-217	11	17	,	,	PUNCT
chd-217	11	18	and	and	CCONJ
chd-217	11	19	trends	trend	NOUN
chd-217	11	20	related	relate	VERB
chd-217	11	21	to	to	ADP
chd-217	11	22	cancer	cancer	NOUN
chd-217	11	23	health	health	NOUN
chd-217	11	24	disparities	disparity	NOUN
chd-217	11	25	,	,	PUNCT
chd-217	11	26	investigates	investigate	VERB
chd-217	11	27	the	the	DET
chd-217	11	28	connection	connection	NOUN
chd-217	11	29	between	between	ADP
chd-217	11	30	drivers	driver	NOUN
chd-217	11	31	of	of	ADP
chd-217	11	32	cancer	cancer	NOUN
chd-217	11	33	health	health	NOUN
chd-217	11	34	disparities	disparity	NOUN
chd-217	11	35	,	,	PUNCT
chd-217	11	36	and	and	CCONJ
chd-217	11	37	evaluates	evaluate	VERB
chd-217	11	38	the	the	DET
chd-217	11	39	model	model	NOUN
chd-217	11	40	with	with	ADP
chd-217	11	41	their	their	PRON
chd-217	11	42	coherence	coherence	NOUN
chd-217	11	43	score	score	NOUN
chd-217	11	44	values	value	NOUN
chd-217	11	45	.	.	PUNCT
chd-217	12	1	keywords	keyword	NOUN
chd-217	12	2	:	:	PUNCT
chd-217	12	3	cancer	cancer	NOUN
chd-217	12	4	health	health	NOUN
chd-217	12	5	disparity	disparity	NOUN
chd-217	12	6	,	,	PUNCT
chd-217	12	7	bertopic	bertopic	NOUN
chd-217	12	8	,	,	PUNCT
chd-217	12	9	c	c	X
chd-217	12	10	-	-	PUNCT
chd-217	12	11	tf	tf	PROPN
chd-217	12	12	-	-	PUNCT
chd-217	12	13	idf	idf	PROPN
chd-217	12	14	,	,	PUNCT
chd-217	12	15	pycaret	pycaret	NOUN
chd-217	12	16	.	.	PUNCT
chd-217	13	1	citation	citation	NOUN
chd-217	13	2	:	:	PUNCT
chd-217	13	3	adewunm	adewunm	VERB
chd-217	13	4	m	m	VERB
chd-217	13	5	et	et	PROPN
chd-217	13	6	al	al	PROPN
chd-217	13	7	(	(	PUNCT
chd-217	13	8	2022	2022	NUM
chd-217	13	9	)	)	PUNCT
chd-217	13	10	cancer	cancer	NOUN
chd-217	13	11	health	health	NOUN
chd-217	13	12	disparities	disparitie	VERB
chd-217	13	13	drivers	driver	NOUN
chd-217	13	14	with	with	ADP
chd-217	13	15	bertopic	bertopic	NOUN
chd-217	13	16	modelling	modelling	NOUN
chd-217	13	17	and	and	CCONJ
chd-217	13	18	pycaret	pycaret	ADJ
chd-217	13	19	evaluation	evaluation	NOUN
chd-217	13	20	.	.	PUNCT
chd-217	14	1	cancer	cancer	NOUN
chd-217	14	2	health	health	NOUN
chd-217	14	3	disparities	disparity	NOUN
chd-217	14	4	6	6	NUM
chd-217	14	5	:	:	PUNCT
chd-217	14	6	e1	e1	NOUN
chd-217	14	7	-	-	PUNCT
chd-217	14	8	e12	e12	NOUN
chd-217	14	9	.	.	PUNCT
chd-217	15	1	doi:10.9777	doi:10.9777	PROPN
chd-217	15	2	/	/	SYM
chd-217	15	3	chd.2022.1005	chd.2022.1005	PROPN
chd-217	15	4	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	PROPN
chd-217	15	5	e2	e2	PROPN
chd-217	15	6	cancer	cancer	NOUN
chd-217	15	7	health	health	NOUN
chd-217	15	8	disparities	disparity	NOUN
chd-217	15	9	research	research	NOUN
chd-217	15	10	introduction	introduction	NOUN
chd-217	15	11	cancer	cancer	NOUN
chd-217	15	12	disparities	disparity	NOUN
chd-217	15	13	occur	occur	VERB
chd-217	15	14	across	across	ADP
chd-217	15	15	geographic	geographic	ADJ
chd-217	15	16	regions	region	NOUN
chd-217	15	17	,	,	PUNCT
chd-217	15	18	socioeconomic	socioeconomic	ADJ
chd-217	15	19	classes	class	NOUN
chd-217	15	20	,	,	PUNCT
chd-217	15	21	and	and	CCONJ
chd-217	15	22	racial	racial	ADJ
chd-217	15	23	and	and	CCONJ
chd-217	15	24	ethnic	ethnic	ADJ
chd-217	15	25	groupings	grouping	NOUN
chd-217	15	26	.	.	PUNCT
chd-217	16	1	for	for	ADP
chd-217	16	2	example	example	NOUN
chd-217	16	3	,	,	PUNCT
chd-217	16	4	rural	rural	ADJ
chd-217	16	5	areas	area	NOUN
chd-217	16	6	had	have	VERB
chd-217	16	7	higher	high	ADJ
chd-217	16	8	lung	lung	NOUN
chd-217	16	9	,	,	PUNCT
chd-217	16	10	cervical	cervical	ADJ
chd-217	16	11	,	,	PUNCT
chd-217	16	12	and	and	CCONJ
chd-217	16	13	colorectal	colorectal	ADJ
chd-217	16	14	cancer	cancer	NOUN
chd-217	16	15	death	death	NOUN
chd-217	16	16	rates	rate	NOUN
chd-217	16	17	than	than	ADP
chd-217	16	18	urban	urban	ADJ
chd-217	16	19	ones	one	NOUN
chd-217	16	20	,	,	PUNCT
chd-217	16	21	owing	owe	VERB
chd-217	16	22	to	to	ADP
chd-217	16	23	poverty	poverty	NOUN
chd-217	16	24	,	,	PUNCT
chd-217	16	25	risky	risky	ADJ
chd-217	16	26	behavior	behavior	NOUN
chd-217	16	27	,	,	PUNCT
chd-217	16	28	and	and	CCONJ
chd-217	16	29	lower	low	ADJ
chd-217	16	30	vaccination	vaccination	NOUN
chd-217	16	31	and	and	CCONJ
chd-217	16	32	screening	screen	VERB
chd-217	16	33	rates	rate	NOUN
chd-217	16	34	[	[	X
chd-217	16	35	1	1	NUM
chd-217	16	36	]	]	PUNCT
chd-217	16	37	.	.	PUNCT
chd-217	17	1	this	this	PRON
chd-217	17	2	is	be	AUX
chd-217	17	3	consistent	consistent	ADJ
chd-217	17	4	with	with	ADP
chd-217	17	5	the	the	DET
chd-217	17	6	growing	grow	VERB
chd-217	17	7	divide	divide	NOUN
chd-217	17	8	in	in	ADP
chd-217	17	9	life	life	NOUN
chd-217	17	10	expectancy	expectancy	NOUN
chd-217	17	11	between	between	ADP
chd-217	17	12	rural	rural	ADJ
chd-217	17	13	and	and	CCONJ
chd-217	17	14	urban	urban	ADJ
chd-217	17	15	areas	area	NOUN
chd-217	17	16	(	(	PUNCT
chd-217	17	17	torre	torre	PROPN
chd-217	17	18	et	et	PROPN
chd-217	17	19	al	al	PROPN
chd-217	17	20	.	.	PROPN
chd-217	17	21	,	,	PUNCT
chd-217	17	22	2015	2015	NUM
chd-217	17	23	)	)	PUNCT
chd-217	17	24	.	.	PUNCT
chd-217	18	1	low	low	ADJ
chd-217	18	2	educational	educational	ADJ
chd-217	18	3	attainment	attainment	NOUN
chd-217	18	4	is	be	AUX
chd-217	18	5	a	a	DET
chd-217	18	6	marker	marker	NOUN
chd-217	18	7	of	of	ADP
chd-217	18	8	socioeconomic	socioeconomic	ADJ
chd-217	18	9	deprivation	deprivation	NOUN
chd-217	18	10	and	and	CCONJ
chd-217	18	11	correlates	correlate	VERB
chd-217	18	12	with	with	ADP
chd-217	18	13	increased	increase	VERB
chd-217	18	14	all	all	DET
chd-217	18	15	-	-	PUNCT
chd-217	18	16	cause	cause	NOUN
chd-217	18	17	mortality	mortality	NOUN
chd-217	18	18	in	in	ADP
chd-217	18	19	the	the	DET
chd-217	18	20	general	general	ADJ
chd-217	18	21	population	population	NOUN
chd-217	18	22	.	.	PUNCT
chd-217	19	1	fifty	fifty	NUM
chd-217	19	2	per	per	ADP
chd-217	19	3	cent	cent	NOUN
chd-217	19	4	(	(	PUNCT
chd-217	19	5	50	50	NUM
chd-217	19	6	%	%	NOUN
chd-217	19	7	)	)	PUNCT
chd-217	19	8	of	of	ADP
chd-217	19	9	all	all	DET
chd-217	19	10	premature	premature	ADJ
chd-217	19	11	deaths	death	NOUN
chd-217	19	12	may	may	AUX
chd-217	19	13	be	be	AUX
chd-217	19	14	avoided	avoid	VERB
chd-217	19	15	if	if	SCONJ
chd-217	19	16	all	all	DET
chd-217	19	17	sectors	sector	NOUN
chd-217	19	18	of	of	ADP
chd-217	19	19	the	the	DET
chd-217	19	20	u.s	u.s	PROPN
chd-217	19	21	.	.	PROPN
chd-217	19	22	population	population	NOUN
chd-217	19	23	experienced	experience	VERB
chd-217	19	24	college	college	NOUN
chd-217	19	25	graduates	graduate	NOUN
chd-217	19	26	’	’	PART
chd-217	19	27	death	death	NOUN
chd-217	19	28	rates	rate	NOUN
chd-217	19	29	.	.	PUNCT
chd-217	20	1	socioeconomic	socioeconomic	ADJ
chd-217	20	2	status	status	NOUN
chd-217	20	3	is	be	AUX
chd-217	20	4	also	also	ADV
chd-217	20	5	a	a	DET
chd-217	20	6	significant	significant	ADJ
chd-217	20	7	predictor	predictor	NOUN
chd-217	20	8	of	of	ADP
chd-217	20	9	cancer	cancer	NOUN
chd-217	20	10	death	death	NOUN
chd-217	20	11	.	.	PUNCT
chd-217	21	1	around	around	ADP
chd-217	21	2	a	a	DET
chd-217	21	3	quarter	quarter	NOUN
chd-217	21	4	of	of	ADP
chd-217	21	5	cancer	cancer	NOUN
chd-217	21	6	deaths	death	NOUN
chd-217	21	7	may	may	AUX
chd-217	21	8	be	be	AUX
chd-217	21	9	avoided	avoid	VERB
chd-217	21	10	if	if	SCONJ
chd-217	21	11	all	all	DET
chd-217	21	12	americans	american	NOUN
chd-217	21	13	obtain	obtain	VERB
chd-217	21	14	a	a	DET
chd-217	21	15	college	college	NOUN
chd-217	21	16	education	education	NOUN
chd-217	21	17	(	(	PUNCT
chd-217	21	18	withrow	withrow	PROPN
chd-217	21	19	et	et	PROPN
chd-217	21	20	al	al	PROPN
chd-217	21	21	.	.	PROPN
chd-217	21	22	,	,	PUNCT
chd-217	21	23	2021	2021	NUM
chd-217	21	24	)	)	PUNCT
chd-217	22	1	[	[	X
chd-217	22	2	2	2	NUM
chd-217	22	3	]	]	PUNCT
chd-217	22	4	.	.	PUNCT
chd-217	23	1	furthermore	furthermore	ADV
chd-217	23	2	,	,	PUNCT
chd-217	23	3	cancer	cancer	NOUN
chd-217	23	4	survival	survival	NOUN
chd-217	23	5	improves	improve	VERB
chd-217	23	6	with	with	ADP
chd-217	23	7	increasing	increase	VERB
chd-217	23	8	socioeconomic	socioeconomic	ADJ
chd-217	23	9	position	position	NOUN
chd-217	23	10	across	across	ADP
chd-217	23	11	all	all	DET
chd-217	23	12	racial	racial	ADJ
chd-217	23	13	and	and	CCONJ
chd-217	23	14	ethnic	ethnic	ADJ
chd-217	23	15	groups	group	NOUN
chd-217	23	16	in	in	ADP
chd-217	23	17	the	the	DET
chd-217	23	18	united	united	PROPN
chd-217	23	19	states	states	PROPN
chd-217	23	20	[	[	X
chd-217	23	21	3	3	NUM
chd-217	23	22	]	]	PUNCT
chd-217	23	23	.	.	PUNCT
chd-217	24	1	nonetheless	nonetheless	ADV
chd-217	24	2	,	,	PUNCT
chd-217	24	3	socioeconomic	socioeconomic	ADJ
chd-217	24	4	disparities	disparity	NOUN
chd-217	24	5	in	in	ADP
chd-217	24	6	cancer	cancer	NOUN
chd-217	24	7	mortality	mortality	NOUN
chd-217	24	8	have	have	AUX
chd-217	24	9	shifted	shift	VERB
chd-217	24	10	dramatically	dramatically	ADV
chd-217	24	11	over	over	ADP
chd-217	24	12	time	time	NOUN
chd-217	24	13	[	[	X
chd-217	24	14	4	4	NUM
chd-217	24	15	]	]	PUNCT
chd-217	24	16	.	.	PUNCT
chd-217	25	1	until	until	ADP
chd-217	25	2	the	the	DET
chd-217	25	3	1980s	1980s	NUM
chd-217	25	4	,	,	PUNCT
chd-217	25	5	the	the	DET
chd-217	25	6	socioeconomic	socioeconomic	ADJ
chd-217	25	7	position	position	NOUN
chd-217	25	8	was	be	AUX
chd-217	25	9	positively	positively	ADV
chd-217	25	10	connected	connect	VERB
chd-217	25	11	with	with	ADP
chd-217	25	12	cancer	cancer	NOUN
chd-217	25	13	mortality	mortality	NOUN
chd-217	25	14	rates	rate	NOUN
chd-217	25	15	in	in	ADP
chd-217	25	16	the	the	DET
chd-217	25	17	united	united	PROPN
chd-217	25	18	states	states	PROPN
chd-217	25	19	,	,	PUNCT
chd-217	25	20	indicating	indicate	VERB
chd-217	25	21	that	that	SCONJ
chd-217	25	22	the	the	DET
chd-217	25	23	wealthy	wealthy	ADJ
chd-217	25	24	face	face	VERB
chd-217	25	25	a	a	DET
chd-217	25	26	greater	great	ADJ
chd-217	25	27	risk	risk	NOUN
chd-217	25	28	of	of	ADP
chd-217	25	29	cancer	cancer	NOUN
chd-217	25	30	.	.	PUNCT
chd-217	26	1	however	however	ADV
chd-217	26	2	,	,	PUNCT
chd-217	26	3	this	this	DET
chd-217	26	4	link	link	NOUN
chd-217	26	5	has	have	AUX
chd-217	26	6	shifted	shift	VERB
chd-217	26	7	in	in	ADP
chd-217	26	8	the	the	DET
chd-217	26	9	opposite	opposite	ADJ
chd-217	26	10	direction	direction	NOUN
chd-217	26	11	,	,	PUNCT
chd-217	26	12	with	with	ADP
chd-217	26	13	affluent	affluent	ADJ
chd-217	26	14	americans	americans	PROPN
chd-217	26	15	now	now	ADV
chd-217	26	16	having	have	VERB
chd-217	26	17	a	a	DET
chd-217	26	18	lower	low	ADJ
chd-217	26	19	risk	risk	NOUN
chd-217	26	20	of	of	ADP
chd-217	26	21	dying	die	VERB
chd-217	26	22	from	from	ADP
chd-217	26	23	cancer	cancer	NOUN
chd-217	26	24	,	,	PUNCT
chd-217	26	25	owing	owe	VERB
chd-217	26	26	to	to	ADP
chd-217	26	27	advancements	advancement	NOUN
chd-217	26	28	in	in	ADP
chd-217	26	29	disease	disease	NOUN
chd-217	26	30	prevention	prevention	NOUN
chd-217	26	31	,	,	PUNCT
chd-217	26	32	early	early	ADJ
chd-217	26	33	cancer	cancer	NOUN
chd-217	26	34	detection	detection	NOUN
chd-217	26	35	,	,	PUNCT
chd-217	26	36	and	and	CCONJ
chd-217	26	37	cancer	cancer	NOUN
chd-217	26	38	therapy	therapy	NOUN
chd-217	26	39	that	that	PRON
chd-217	26	40	benefit	benefit	VERB
chd-217	26	41	people	people	NOUN
chd-217	26	42	with	with	ADP
chd-217	26	43	private	private	ADJ
chd-217	26	44	health	health	NOUN
chd-217	26	45	insurance	insurance	NOUN
chd-217	26	46	.	.	PUNCT
chd-217	27	1	socioeconomic	socioeconomic	ADJ
chd-217	27	2	disparities	disparity	NOUN
chd-217	27	3	are	be	AUX
chd-217	27	4	the	the	DET
chd-217	27	5	primary	primary	ADJ
chd-217	27	6	cause	cause	NOUN
chd-217	27	7	of	of	ADP
chd-217	27	8	excess	excess	ADJ
chd-217	27	9	mortality	mortality	NOUN
chd-217	27	10	from	from	ADP
chd-217	27	11	lung	lung	NOUN
chd-217	27	12	,	,	PUNCT
chd-217	27	13	colorectal	colorectal	ADJ
chd-217	27	14	,	,	PUNCT
chd-217	27	15	cervical	cervical	ADJ
chd-217	27	16	,	,	PUNCT
chd-217	27	17	stomach	stomach	NOUN
chd-217	27	18	,	,	PUNCT
chd-217	27	19	and	and	CCONJ
chd-217	27	20	liver	liver	NOUN
chd-217	27	21	cancers	cancer	NOUN
chd-217	27	22	among	among	ADP
chd-217	27	23	americans	americans	PROPN
chd-217	27	24	living	live	VERB
chd-217	27	25	in	in	ADP
chd-217	27	26	deprived	deprived	ADJ
chd-217	27	27	areas	area	NOUN
chd-217	27	28	[	[	X
chd-217	27	29	3	3	NUM
chd-217	27	30	]	]	PUNCT
chd-217	27	31	.	.	PUNCT
chd-217	28	1	while	while	SCONJ
chd-217	28	2	prostate	prostate	NOUN
chd-217	28	3	cancer	cancer	NOUN
chd-217	28	4	mortality	mortality	NOUN
chd-217	28	5	did	do	AUX
chd-217	28	6	not	not	PART
chd-217	28	7	differ	differ	VERB
chd-217	28	8	significantly	significantly	ADV
chd-217	28	9	by	by	ADP
chd-217	28	10	socioeconomic	socioeconomic	ADJ
chd-217	28	11	class	class	NOUN
chd-217	28	12	in	in	ADP
chd-217	28	13	the	the	DET
chd-217	28	14	past	past	NOUN
chd-217	28	15	,	,	PUNCT
chd-217	28	16	an	an	DET
chd-217	28	17	inverse	inverse	ADJ
chd-217	28	18	socioeconomic	socioeconomic	ADJ
chd-217	28	19	gradient	gradient	NOUN
chd-217	28	20	presently	presently	ADV
chd-217	28	21	exists	exist	VERB
chd-217	28	22	[	[	X
chd-217	28	23	5	5	NUM
chd-217	28	24	]	]	X
chd-217	28	25	[	[	X
chd-217	28	26	6	6	NUM
chd-217	28	27	]	]	PUNCT
chd-217	28	28	.	.	PUNCT
chd-217	29	1	additionally	additionally	ADV
chd-217	29	2	,	,	PUNCT
chd-217	29	3	neighborhood	neighborhood	ADJ
chd-217	29	4	socioeconomic	socioeconomic	ADJ
chd-217	29	5	hardship	hardship	NOUN
chd-217	29	6	is	be	AUX
chd-217	29	7	associated	associate	VERB
chd-217	29	8	with	with	ADP
chd-217	29	9	shorter	short	ADJ
chd-217	29	10	telomere	telomere	NOUN
chd-217	29	11	length	length	NOUN
chd-217	29	12	,	,	PUNCT
chd-217	29	13	a	a	DET
chd-217	29	14	marker	marker	NOUN
chd-217	29	15	of	of	ADP
chd-217	29	16	premature	premature	ADJ
chd-217	29	17	ageing	ageing	NOUN
chd-217	29	18	,	,	PUNCT
chd-217	29	19	and	and	CCONJ
chd-217	29	20	deadly	deadly	ADJ
chd-217	29	21	malignancy	malignancy	NOUN
chd-217	29	22	[	[	X
chd-217	29	23	7	7	NUM
chd-217	29	24	]	]	PUNCT
chd-217	29	25	.	.	PUNCT
chd-217	30	1	global	global	ADJ
chd-217	30	2	disparities	disparity	NOUN
chd-217	30	3	in	in	ADP
chd-217	30	4	cancer	cancer	NOUN
chd-217	30	5	incidence	incidence	NOUN
chd-217	30	6	and	and	CCONJ
chd-217	30	7	mortality	mortality	NOUN
chd-217	30	8	rates	rate	NOUN
chd-217	30	9	are	be	AUX
chd-217	30	10	observed	observe	VERB
chd-217	30	11	across	across	ADP
chd-217	30	12	the	the	DET
chd-217	30	13	board	board	NOUN
chd-217	30	14	for	for	ADP
chd-217	30	15	most	most	ADJ
chd-217	30	16	cancer	cancer	NOUN
chd-217	30	17	sites	site	NOUN
chd-217	30	18	,	,	PUNCT
chd-217	30	19	indicating	indicate	VERB
chd-217	30	20	socioeconomic	socioeconomic	ADJ
chd-217	30	21	disparities	disparity	NOUN
chd-217	30	22	and	and	CCONJ
chd-217	30	23	considerable	considerable	ADJ
chd-217	30	24	differences	difference	NOUN
chd-217	30	25	in	in	ADP
chd-217	30	26	risk	risk	NOUN
chd-217	30	27	factor	factor	NOUN
chd-217	30	28	expo	expo	NOUN
chd-217	30	29	sure	sure	ADJ
chd-217	31	1	[	[	X
chd-217	31	2	8	8	NUM
chd-217	31	3	]	]	PUNCT
chd-217	31	4	.	.	PUNCT
chd-217	32	1	breast	breast	NOUN
chd-217	32	2	,	,	PUNCT
chd-217	32	3	colorectal	colorectal	NOUN
chd-217	32	4	,	,	PUNCT
chd-217	32	5	and	and	CCONJ
chd-217	32	6	prostate	prostate	NOUN
chd-217	32	7	cancer	cancer	NOUN
chd-217	32	8	rates	rate	NOUN
chd-217	32	9	differ	differ	VERB
chd-217	32	10	significantly	significantly	ADV
chd-217	32	11	between	between	ADP
chd-217	32	12	highand	highand	ADJ
chd-217	32	13	lowincome	lowincome	NOUN
chd-217	32	14	countries	country	NOUN
chd-217	32	15	,	,	PUNCT
chd-217	32	16	geographic	geographic	ADJ
chd-217	32	17	regions	region	NOUN
chd-217	32	18	,	,	PUNCT
chd-217	32	19	and	and	CCONJ
chd-217	32	20	race	race	NOUN
chd-217	32	21	/	/	SYM
chd-217	32	22	ethnic	ethnic	ADJ
chd-217	32	23	groupings	grouping	NOUN
chd-217	32	24	.	.	PUNCT
chd-217	33	1	as	as	SCONJ
chd-217	33	2	migration	migration	NOUN
chd-217	33	3	studies	study	NOUN
chd-217	33	4	for	for	ADP
chd-217	33	5	breast	breast	NOUN
chd-217	33	6	and	and	CCONJ
chd-217	33	7	other	other	ADJ
chd-217	33	8	cancers	cancer	NOUN
chd-217	33	9	have	have	AUX
chd-217	33	10	demonstrated	demonstrate	VERB
chd-217	33	11	,	,	PUNCT
chd-217	33	12	differences	difference	NOUN
chd-217	33	13	in	in	ADP
chd-217	33	14	health	health	NOUN
chd-217	33	15	care	care	NOUN
chd-217	33	16	and	and	CCONJ
chd-217	33	17	modifiable	modifiable	ADJ
chd-217	33	18	risk	risk	NOUN
chd-217	33	19	factor	factor	NOUN
chd-217	33	20	exposure	exposure	NOUN
chd-217	33	21	are	be	AUX
chd-217	33	22	significant	significant	ADJ
chd-217	33	23	drivers	driver	NOUN
chd-217	33	24	of	of	ADP
chd-217	33	25	these	these	DET
chd-217	33	26	global	global	ADJ
chd-217	33	27	disparities	disparity	NOUN
chd-217	33	28	[	[	X
chd-217	33	29	9	9	X
chd-217	33	30	]	]	X
chd-217	33	31	[	[	X
chd-217	33	32	10	10	NUM
chd-217	33	33	]	]	PUNCT
chd-217	33	34	.	.	PUNCT
chd-217	34	1	lung	lung	NOUN
chd-217	34	2	cancer	cancer	NOUN
chd-217	34	3	is	be	AUX
chd-217	34	4	the	the	DET
chd-217	34	5	most	most	ADV
chd-217	34	6	important	important	ADJ
chd-217	34	7	cause	cause	NOUN
chd-217	34	8	of	of	ADP
chd-217	34	9	cancer	cancer	NOUN
chd-217	34	10	death	death	NOUN
chd-217	34	11	globally	globally	ADV
chd-217	34	12	but	but	CCONJ
chd-217	34	13	is	be	AUX
chd-217	34	14	significantly	significantly	ADV
chd-217	34	15	underrepresented	underrepresented	ADJ
chd-217	34	16	in	in	ADP
chd-217	34	17	sub	sub	ADJ
chd-217	34	18	-	-	ADJ
chd-217	34	19	saharan	saharan	ADJ
chd-217	34	20	africa	africa	PROPN
chd-217	34	21	due	due	ADP
chd-217	34	22	to	to	ADP
chd-217	34	23	low	low	ADJ
chd-217	34	24	smoking	smoking	NOUN
chd-217	34	25	rates	rate	NOUN
chd-217	34	26	.	.	PUNCT
chd-217	35	1	prostate	prostate	NOUN
chd-217	35	2	cancer	cancer	NOUN
chd-217	35	3	is	be	AUX
chd-217	35	4	the	the	DET
chd-217	35	5	most	most	ADV
chd-217	35	6	frequent	frequent	ADJ
chd-217	35	7	cancer	cancer	NOUN
chd-217	35	8	in	in	ADP
chd-217	35	9	men	man	NOUN
chd-217	35	10	worldwide	worldwide	ADV
chd-217	35	11	,	,	PUNCT
chd-217	35	12	but	but	CCONJ
chd-217	35	13	its	its	PRON
chd-217	35	14	prevalence	prevalence	NOUN
chd-217	35	15	varies	vary	VERB
chd-217	35	16	considerably	considerably	ADV
chd-217	35	17	by	by	ADP
chd-217	35	18	geography	geography	NOUN
chd-217	35	19	,	,	PUNCT
chd-217	35	20	with	with	ADP
chd-217	35	21	low	low	ADJ
chd-217	35	22	rates	rate	NOUN
chd-217	35	23	in	in	ADP
chd-217	35	24	east	east	PROPN
chd-217	35	25	asia	asia	PROPN
chd-217	35	26	and	and	CCONJ
chd-217	35	27	high	high	ADJ
chd-217	35	28	speeds	speed	NOUN
chd-217	35	29	in	in	ADP
chd-217	35	30	western	western	ADJ
chd-217	35	31	countries	country	NOUN
chd-217	35	32	.	.	PUNCT
chd-217	36	1	the	the	DET
chd-217	36	2	incidence	incidence	NOUN
chd-217	36	3	disparity	disparity	NOUN
chd-217	36	4	has	have	AUX
chd-217	36	5	lessened	lessen	VERB
chd-217	36	6	as	as	SCONJ
chd-217	36	7	east	east	PROPN
chd-217	36	8	asia	asia	PROPN
chd-217	36	9	’s	’s	PART
chd-217	36	10	habits	habit	NOUN
chd-217	36	11	have	have	AUX
chd-217	36	12	become	become	VERB
chd-217	36	13	more	more	ADV
chd-217	36	14	westernized	westernize	VERB
chd-217	37	1	[	[	PUNCT
chd-217	37	2	11	11	NUM
chd-217	37	3	]	]	PUNCT
chd-217	37	4	.	.	PUNCT
chd-217	38	1	notably	notably	ADV
chd-217	38	2	,	,	PUNCT
chd-217	38	3	prostate	prostate	NOUN
chd-217	38	4	cancer	cancer	NOUN
chd-217	38	5	is	be	AUX
chd-217	38	6	the	the	DET
chd-217	38	7	leading	lead	VERB
chd-217	38	8	cause	cause	NOUN
chd-217	38	9	of	of	ADP
chd-217	38	10	cancer	cancer	NOUN
chd-217	38	11	death	death	NOUN
chd-217	38	12	among	among	ADP
chd-217	38	13	men	man	NOUN
chd-217	38	14	in	in	ADP
chd-217	38	15	sub	sub	ADJ
chd-217	38	16	-	-	ADJ
chd-217	38	17	saharan	saharan	ADJ
chd-217	38	18	africa	africa	PROPN
chd-217	38	19	and	and	CCONJ
chd-217	38	20	the	the	DET
chd-217	38	21	caribbean	caribbean	PROPN
chd-217	39	1	[	[	X
chd-217	39	2	12	12	NUM
chd-217	39	3	]	]	PUNCT
chd-217	39	4	,	,	PUNCT
chd-217	39	5	leading	lead	VERB
chd-217	39	6	to	to	ADP
chd-217	39	7	the	the	DET
chd-217	39	8	theory	theory	NOUN
chd-217	39	9	that	that	SCONJ
chd-217	39	10	males	male	NOUN
chd-217	39	11	of	of	ADP
chd-217	39	12	sub	sub	ADJ
chd-217	39	13	-	-	ADJ
chd-217	39	14	saharan	saharan	ADJ
chd-217	39	15	african	african	ADJ
chd-217	39	16	ancestry	ancestry	NOUN
chd-217	39	17	.	.	PUNCT
chd-217	40	1	this	this	PRON
chd-217	40	2	may	may	AUX
chd-217	40	3	predispose	predispose	VERB
chd-217	40	4	to	to	ADP
chd-217	40	5	prostate	prostate	NOUN
chd-217	40	6	cancer	cancer	NOUN
chd-217	40	7	and	and	CCONJ
chd-217	40	8	a	a	DET
chd-217	40	9	more	more	ADV
chd-217	40	10	aggressive	aggressive	ADJ
chd-217	40	11	illness	illness	NOUN
chd-217	40	12	due	due	ADP
chd-217	40	13	to	to	ADP
chd-217	40	14	ancestral	ancestral	ADJ
chd-217	40	15	genetic	genetic	ADJ
chd-217	40	16	characteristics	characteristic	NOUN
chd-217	40	17	.	.	PUNCT
chd-217	41	1	cervical	cervical	ADJ
chd-217	41	2	cancer	cancer	NOUN
chd-217	41	3	is	be	AUX
chd-217	41	4	the	the	DET
chd-217	41	5	leading	lead	VERB
chd-217	41	6	cause	cause	NOUN
chd-217	41	7	of	of	ADP
chd-217	41	8	cancer	cancer	NOUN
chd-217	41	9	death	death	NOUN
chd-217	41	10	in	in	ADP
chd-217	41	11	women	woman	NOUN
chd-217	41	12	in	in	ADP
chd-217	41	13	sub	sub	ADJ
chd-217	41	14	-	-	ADJ
chd-217	41	15	saharan	saharan	ADJ
chd-217	41	16	africa	africa	PROPN
chd-217	41	17	and	and	CCONJ
chd-217	41	18	southeast	southeast	PROPN
chd-217	41	19	asia	asia	PROPN
chd-217	41	20	,	,	PUNCT
chd-217	41	21	owing	owe	VERB
chd-217	41	22	to	to	ADP
chd-217	41	23	human	human	ADJ
chd-217	41	24	papillomavirus	papillomavirus	NOUN
chd-217	41	25	infections	infection	NOUN
chd-217	41	26	and	and	CCONJ
chd-217	41	27	late	late	ADJ
chd-217	41	28	disease	disease	NOUN
chd-217	41	29	identification	identification	NOUN
chd-217	41	30	[	[	X
chd-217	41	31	13	13	NUM
chd-217	41	32	]	]	PUNCT
chd-217	41	33	.	.	PUNCT
chd-217	42	1	other	other	ADJ
chd-217	42	2	cancers	cancer	NOUN
chd-217	42	3	with	with	ADP
chd-217	42	4	a	a	DET
chd-217	42	5	high	high	ADJ
chd-217	42	6	incidence	incidence	NOUN
chd-217	42	7	and	and	CCONJ
chd-217	42	8	fatality	fatality	NOUN
chd-217	42	9	rate	rate	NOUN
chd-217	42	10	in	in	ADP
chd-217	42	11	eastern	eastern	PROPN
chd-217	42	12	asia	asia	PROPN
chd-217	42	13	include	include	VERB
chd-217	42	14	stomach	stomach	NOUN
chd-217	42	15	and	and	CCONJ
chd-217	42	16	oesophagal	oesophagal	ADJ
chd-217	42	17	cancer	cancer	NOUN
chd-217	42	18	(	(	PUNCT
chd-217	42	19	lin	lin	PROPN
chd-217	42	20	et	et	PROPN
chd-217	42	21	al	al	PROPN
chd-217	42	22	.	.	PROPN
chd-217	42	23	,	,	PUNCT
chd-217	42	24	2021	2021	NUM
chd-217	42	25	)	)	PUNCT
chd-217	42	26	.	.	PUNCT
chd-217	43	1	helicobacter	helicobacter	NOUN
chd-217	43	2	pylori	pylori	NOUN
chd-217	43	3	infection	infection	NOUN
chd-217	43	4	and	and	CCONJ
chd-217	43	5	a	a	DET
chd-217	43	6	diet	diet	NOUN
chd-217	43	7	high	high	ADJ
chd-217	43	8	in	in	ADP
chd-217	43	9	salt	salt	NOUN
chd-217	43	10	are	be	AUX
chd-217	43	11	significant	significant	ADJ
chd-217	43	12	risk	risk	NOUN
chd-217	43	13	factors	factor	NOUN
chd-217	43	14	for	for	ADP
chd-217	43	15	stomach	stomach	NOUN
chd-217	43	16	cancer	cancer	NOUN
chd-217	43	17	[	[	X
chd-217	43	18	14	14	NUM
chd-217	43	19	]	]	PUNCT
chd-217	43	20	.	.	PUNCT
chd-217	44	1	this	this	DET
chd-217	44	2	cancer	cancer	NOUN
chd-217	44	3	is	be	AUX
chd-217	44	4	more	more	ADV
chd-217	44	5	prevalent	prevalent	ADJ
chd-217	44	6	on	on	ADP
chd-217	44	7	the	the	DET
chd-217	44	8	korean	korean	ADJ
chd-217	44	9	peninsula	peninsula	NOUN
chd-217	44	10	due	due	ADP
chd-217	44	11	to	to	ADP
chd-217	44	12	regional	regional	ADJ
chd-217	44	13	dietary	dietary	ADJ
chd-217	44	14	risk	risk	NOUN
chd-217	44	15	factors	factor	NOUN
chd-217	44	16	and	and	CCONJ
chd-217	44	17	chronic	chronic	ADJ
chd-217	44	18	helicobacter	helicobacter	NOUN
chd-217	44	19	pylori	pylori	NOUN
chd-217	44	20	infections	infection	NOUN
chd-217	44	21	[	[	X
chd-217	44	22	15	15	NUM
chd-217	44	23	]	]	PUNCT
chd-217	44	24	.	.	PUNCT
chd-217	45	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	PUNCT
chd-217	45	2	e3	e3	NOUN
chd-217	45	3	cancer	cancer	NOUN
chd-217	45	4	health	health	NOUN
chd-217	45	5	disparities	disparity	NOUN
chd-217	45	6	research	research	VERB
chd-217	45	7	in	in	ADP
chd-217	45	8	contrast	contrast	NOUN
chd-217	45	9	,	,	PUNCT
chd-217	45	10	malawi	malawi	PROPN
chd-217	45	11	in	in	ADP
chd-217	45	12	eastern	eastern	PROPN
chd-217	45	13	africa	africa	PROPN
chd-217	45	14	is	be	AUX
chd-217	45	15	mainly	mainly	ADV
chd-217	45	16	affected	affect	VERB
chd-217	45	17	by	by	ADP
chd-217	45	18	oesophagal	oesophagal	ADJ
chd-217	45	19	cancers	cancer	NOUN
chd-217	46	1	[	[	X
chd-217	46	2	16	16	NUM
chd-217	46	3	]	]	PUNCT
chd-217	46	4	,	,	PUNCT
chd-217	46	5	with	with	ADP
chd-217	46	6	the	the	DET
chd-217	46	7	highest	high	ADJ
chd-217	46	8	global	global	ADJ
chd-217	46	9	disease	disease	NOUN
chd-217	46	10	rates	rate	NOUN
chd-217	46	11	due	due	ADJ
chd-217	46	12	to	to	ADP
chd-217	46	13	unknown	unknown	ADJ
chd-217	46	14	risk	risk	NOUN
chd-217	46	15	factors	factor	NOUN
chd-217	46	16	.	.	PUNCT
chd-217	47	1	finally	finally	ADV
chd-217	47	2	,	,	PUNCT
chd-217	47	3	liver	liver	NOUN
chd-217	47	4	cancer	cancer	NOUN
chd-217	47	5	is	be	AUX
chd-217	47	6	most	most	ADV
chd-217	47	7	prevalent	prevalent	ADJ
chd-217	47	8	in	in	ADP
chd-217	47	9	northern	northern	ADJ
chd-217	47	10	and	and	CCONJ
chd-217	47	11	western	western	ADJ
chd-217	47	12	africa	africa	PROPN
chd-217	47	13	and	and	CCONJ
chd-217	47	14	southeast	southeast	PROPN
chd-217	47	15	asia	asia	PROPN
chd-217	48	1	[	[	X
chd-217	48	2	17	17	NUM
chd-217	48	3	]	]	PUNCT
chd-217	48	4	.	.	PUNCT
chd-217	49	1	for	for	ADP
chd-217	49	2	example	example	NOUN
chd-217	49	3	,	,	PUNCT
chd-217	49	4	it	it	PRON
chd-217	49	5	is	be	AUX
chd-217	49	6	the	the	DET
chd-217	49	7	leading	lead	VERB
chd-217	49	8	cause	cause	NOUN
chd-217	49	9	of	of	ADP
chd-217	49	10	cancer	cancer	NOUN
chd-217	49	11	mortality	mortality	NOUN
chd-217	49	12	in	in	ADP
chd-217	49	13	mongolia	mongolia	PROPN
chd-217	50	1	[	[	X
chd-217	50	2	18	18	NUM
chd-217	50	3	]	]	PUNCT
chd-217	50	4	.	.	PUNCT
chd-217	51	1	chronic	chronic	ADJ
chd-217	51	2	hepatitis	hepatitis	PROPN
chd-217	51	3	b	b	PROPN
chd-217	51	4	and	and	CCONJ
chd-217	51	5	c	c	PROPN
chd-217	51	6	virus	virus	NOUN
chd-217	51	7	infections	infection	NOUN
chd-217	51	8	and	and	CCONJ
chd-217	51	9	aflatoxin	aflatoxin	NOUN
chd-217	51	10	exposure	exposure	NOUN
chd-217	51	11	are	be	AUX
chd-217	51	12	significant	significant	ADJ
chd-217	51	13	causes	cause	NOUN
chd-217	51	14	of	of	ADP
chd-217	51	15	disease	disease	NOUN
chd-217	51	16	in	in	ADP
chd-217	51	17	these	these	DET
chd-217	51	18	regions	region	NOUN
chd-217	51	19	.	.	PUNCT
chd-217	52	1	in	in	ADP
chd-217	52	2	contrast	contrast	NOUN
chd-217	52	3	,	,	PUNCT
chd-217	52	4	heavy	heavy	ADJ
chd-217	52	5	alcohol	alcohol	NOUN
chd-217	52	6	use	use	NOUN
chd-217	52	7	and	and	CCONJ
chd-217	52	8	non	non	ADJ
chd-217	52	9	-	-	ADJ
chd-217	52	10	alcoholic	alcoholic	ADJ
chd-217	52	11	fatty	fatty	NOUN
chd-217	52	12	liver	liver	NOUN
chd-217	52	13	disease	disease	NOUN
chd-217	52	14	are	be	AUX
chd-217	52	15	tremendous	tremendous	ADJ
chd-217	52	16	contributors	contributor	NOUN
chd-217	52	17	to	to	ADP
chd-217	52	18	the	the	DET
chd-217	52	19	rising	rise	VERB
chd-217	52	20	incidence	incidence	NOUN
chd-217	52	21	of	of	ADP
chd-217	52	22	liver	liver	NOUN
chd-217	52	23	cancer	cancer	NOUN
chd-217	52	24	in	in	ADP
chd-217	52	25	several	several	ADJ
chd-217	52	26	high	high	ADJ
chd-217	52	27	income	income	NOUN
chd-217	52	28	countries	country	NOUN
chd-217	52	29	[	[	X
chd-217	52	30	19	19	NUM
chd-217	52	31	]	]	PUNCT
chd-217	52	32	.	.	PUNCT
chd-217	53	1	the	the	DET
chd-217	53	2	remaining	remain	VERB
chd-217	53	3	sections	section	NOUN
chd-217	53	4	summarise	summarise	VERB
chd-217	53	5	prior	prior	ADJ
chd-217	53	6	research	research	NOUN
chd-217	53	7	on	on	ADP
chd-217	53	8	topic	topic	NOUN
chd-217	53	9	modelling	modelling	NOUN
chd-217	53	10	for	for	ADP
chd-217	53	11	language	language	NOUN
chd-217	53	12	,	,	PUNCT
chd-217	53	13	project	project	NOUN
chd-217	53	14	workflow	workflow	NOUN
chd-217	53	15	,	,	PUNCT
chd-217	53	16	modelling	model	VERB
chd-217	53	17	experiment	experiment	NOUN
chd-217	53	18	,	,	PUNCT
chd-217	53	19	results	result	NOUN
chd-217	53	20	,	,	PUNCT
chd-217	53	21	evaluation	evaluation	NOUN
chd-217	53	22	,	,	PUNCT
chd-217	53	23	discussion	discussion	NOUN
chd-217	53	24	and	and	CCONJ
chd-217	53	25	conclusion	conclusion	NOUN
chd-217	53	26	.	.	PUNCT
chd-217	54	1	the	the	DET
chd-217	54	2	objectives	objective	NOUN
chd-217	54	3	of	of	ADP
chd-217	54	4	this	this	DET
chd-217	54	5	study	study	NOUN
chd-217	54	6	are	be	AUX
chd-217	54	7	:	:	PUNCT
chd-217	54	8	•	•	ADV
chd-217	54	9	find	find	VERB
chd-217	54	10	out	out	ADP
chd-217	54	11	granular	granular	ADJ
chd-217	54	12	topics	topic	NOUN
chd-217	54	13	related	relate	VERB
chd-217	54	14	to	to	ADP
chd-217	54	15	cancer	cancer	NOUN
chd-217	54	16	health	health	NOUN
chd-217	54	17	disparities	disparity	NOUN
chd-217	54	18	with	with	ADP
chd-217	54	19	topic	topic	NOUN
chd-217	54	20	modelling	modelling	NOUN
chd-217	54	21	.	.	PUNCT
chd-217	55	1	•	•	NUM
chd-217	55	2	narrow	narrow	ADJ
chd-217	55	3	down	down	ADP
chd-217	55	4	the	the	DET
chd-217	55	5	knowledge	knowledge	NOUN
chd-217	55	6	structure	structure	NOUN
chd-217	55	7	of	of	ADP
chd-217	55	8	the	the	DET
chd-217	55	9	high	high	ADJ
chd-217	55	10	topics	topic	NOUN
chd-217	55	11	word	word	NOUN
chd-217	55	12	scores	score	NOUN
chd-217	55	13	and	and	CCONJ
chd-217	55	14	the	the	DET
chd-217	55	15	associated	associated	ADJ
chd-217	55	16	trends	trend	NOUN
chd-217	55	17	.	.	PUNCT
chd-217	56	1	•	•	NOUN
chd-217	56	2	validate	validate	VERB
chd-217	56	3	the	the	DET
chd-217	56	4	discovered	discover	VERB
chd-217	56	5	trends	trend	NOUN
chd-217	56	6	.	.	PUNCT
chd-217	57	1	figure	figure	NOUN
chd-217	57	2	1	1	NUM
chd-217	57	3	.	.	PUNCT
chd-217	58	1	why	why	SCONJ
chd-217	58	2	do	do	AUX
chd-217	58	3	u.s	u.s	PROPN
chd-217	58	4	.	.	PROPN
chd-217	58	5	cancer	cancer	NOUN
chd-217	58	6	health	health	NOUN
chd-217	58	7	disparities	disparity	NOUN
chd-217	58	8	exist	exist	VERB
chd-217	58	9	(	(	PUNCT
chd-217	58	10	aacr	aacr	ADJ
chd-217	58	11	cancer	cancer	NOUN
chd-217	58	12	disparities	disparity	NOUN
chd-217	58	13	progress	progress	VERB
chd-217	58	14	report	report	VERB
chd-217	58	15	2022	2022	NUM
chd-217	58	16	)	)	PUNCT
chd-217	58	17	reviewed	review	VERB
chd-217	58	18	methods	method	NOUN
chd-217	58	19	topic	topic	NOUN
chd-217	58	20	modelling	modelling	NOUN
chd-217	58	21	with	with	ADP
chd-217	58	22	bertopic	bertopic	NOUN
chd-217	58	23	and	and	CCONJ
chd-217	58	24	pycaret	pycaret	VERB
chd-217	58	25	this	this	PRON
chd-217	58	26	is	be	AUX
chd-217	58	27	an	an	DET
chd-217	58	28	unsupervised	unsupervised	ADJ
chd-217	58	29	machine	machine	NOUN
chd-217	58	30	learning	learning	NOUN
chd-217	58	31	method	method	NOUN
chd-217	58	32	for	for	ADP
chd-217	58	33	discovering	discover	VERB
chd-217	58	34	abstract	abstract	ADJ
chd-217	58	35	subjects	subject	NOUN
chd-217	58	36	in	in	ADP
chd-217	58	37	substantial	substantial	ADJ
chd-217	58	38	text	text	NOUN
chd-217	58	39	collections	collection	NOUN
chd-217	58	40	.	.	PUNCT
chd-217	59	1	it	it	PRON
chd-217	59	2	aids	aid	VERB
chd-217	59	3	in	in	ADP
chd-217	59	4	organizing	organize	VERB
chd-217	59	5	,	,	PUNCT
chd-217	59	6	comprehending	comprehending	ADJ
chd-217	59	7	,	,	PUNCT
chd-217	59	8	and	and	CCONJ
chd-217	59	9	summarising	summarise	VERB
chd-217	59	10	vast	vast	ADJ
chd-217	59	11	quantities	quantity	NOUN
chd-217	59	12	of	of	ADP
chd-217	59	13	textual	textual	ADJ
chd-217	59	14	material	material	NOUN
chd-217	59	15	and	and	CCONJ
chd-217	59	16	locating	locate	VERB
chd-217	59	17	hidden	hidden	ADJ
chd-217	59	18	issues	issue	NOUN
chd-217	59	19	that	that	PRON
chd-217	59	20	differ	differ	VERB
chd-217	59	21	across	across	ADP
chd-217	59	22	documents	document	NOUN
chd-217	59	23	within	within	ADP
chd-217	59	24	a	a	DET
chd-217	59	25	particular	particular	ADJ
chd-217	59	26	corpus	corpus	NOUN
chd-217	59	27	.	.	PUNCT
chd-217	60	1	the	the	DET
chd-217	60	2	objective	objective	NOUN
chd-217	60	3	of	of	ADP
chd-217	60	4	topic	topic	NOUN
chd-217	60	5	modelling	modelling	NOUN
chd-217	60	6	is	be	AUX
chd-217	60	7	to	to	ADP
chd-217	60	8	group	group	NOUN
chd-217	60	9	documents	document	NOUN
chd-217	60	10	and	and	CCONJ
chd-217	60	11	words	word	NOUN
chd-217	60	12	with	with	ADP
chd-217	60	13	similar	similar	ADJ
chd-217	60	14	meanings	meaning	NOUN
chd-217	60	15	.	.	PUNCT
chd-217	61	1	it	it	PRON
chd-217	61	2	has	have	VERB
chd-217	61	3	several	several	ADJ
chd-217	61	4	critical	critical	ADJ
chd-217	61	5	applications	application	NOUN
chd-217	61	6	,	,	PUNCT
chd-217	61	7	including	include	VERB
chd-217	61	8	natural	natural	ADJ
chd-217	61	9	language	language	NOUN
chd-217	61	10	processing	processing	NOUN
chd-217	61	11	(	(	PUNCT
chd-217	61	12	nlp	nlp	NOUN
chd-217	61	13	)	)	PUNCT
chd-217	61	14	and	and	CCONJ
chd-217	61	15	information	information	NOUN
chd-217	61	16	retrieval	retrieval	NOUN
chd-217	61	17	(	(	PUNCT
chd-217	61	18	i.r	i.r	PROPN
chd-217	61	19	.	.	PROPN
chd-217	61	20	)	)	PUNCT
chd-217	61	21	.	.	PUNCT
chd-217	62	1	it	it	PRON
chd-217	62	2	uses	use	VERB
chd-217	62	3	unsupervised	unsupervised	ADJ
chd-217	62	4	machine	machine	NOUN
chd-217	62	5	learning	learn	VERB
chd-217	62	6	algorithms	algorithm	NOUN
chd-217	62	7	to	to	PART
chd-217	62	8	identify	identify	VERB
chd-217	62	9	themes	theme	NOUN
chd-217	62	10	inside	inside	ADP
chd-217	62	11	document	document	NOUN
chd-217	62	12	sets	set	NOUN
chd-217	62	13	.	.	PUNCT
chd-217	63	1	the	the	DET
chd-217	63	2	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	NUM
chd-217	63	3	e4	e4	PROPN
chd-217	63	4	cancer	cancer	NOUN
chd-217	63	5	health	health	NOUN
chd-217	63	6	disparities	disparity	NOUN
chd-217	63	7	research	research	VERB
chd-217	63	8	probabilistic	probabilistic	ADJ
chd-217	63	9	latent	latent	NOUN
chd-217	63	10	semantic	semantic	ADJ
chd-217	63	11	analysis	analysis	NOUN
chd-217	63	12	(	(	PUNCT
chd-217	63	13	plsa	plsa	ADJ
chd-217	63	14	)	)	PUNCT
chd-217	63	15	was	be	AUX
chd-217	63	16	initially	initially	ADV
chd-217	63	17	suggested	suggest	VERB
chd-217	63	18	in	in	ADP
chd-217	63	19	1999	1999	NUM
chd-217	63	20	[	[	X
chd-217	63	21	20	20	NUM
chd-217	63	22	]	]	PUNCT
chd-217	63	23	,	,	PUNCT
chd-217	63	24	followed	follow	VERB
chd-217	63	25	by	by	ADP
chd-217	63	26	the	the	DET
chd-217	63	27	latent	latent	NOUN
chd-217	63	28	dirichlet	dirichlet	PROPN
chd-217	63	29	allocation	allocation	NOUN
chd-217	63	30	(	(	PUNCT
chd-217	63	31	lda	lda	PROPN
chd-217	63	32	)	)	PUNCT
chd-217	63	33	in	in	ADP
chd-217	63	34	2003	2003	NUM
chd-217	63	35	[	[	X
chd-217	63	36	21	21	NUM
chd-217	63	37	]	]	X
chd-217	63	38	,	,	PUNCT
chd-217	63	39	which	which	PRON
chd-217	63	40	has	have	AUX
chd-217	63	41	since	since	SCONJ
chd-217	63	42	become	become	VERB
chd-217	63	43	one	one	NUM
chd-217	63	44	of	of	ADP
chd-217	63	45	the	the	DET
chd-217	63	46	most	most	ADV
chd-217	63	47	used	used	ADJ
chd-217	63	48	topic	topic	NOUN
chd-217	63	49	modelling	model	VERB
chd-217	63	50	methodologies	methodology	NOUN
chd-217	63	51	.	.	PUNCT
chd-217	64	1	in	in	ADP
chd-217	64	2	addition	addition	NOUN
chd-217	64	3	,	,	PUNCT
chd-217	64	4	the	the	DET
chd-217	64	5	development	development	NOUN
chd-217	64	6	of	of	ADP
chd-217	64	7	pre	pre	ADJ
chd-217	64	8	-	-	ADJ
chd-217	64	9	trained	train	VERB
chd-217	64	10	language	language	NOUN
chd-217	64	11	models	model	NOUN
chd-217	64	12	(	(	PUNCT
chd-217	64	13	plms	plm	NOUN
chd-217	64	14	)	)	PUNCT
chd-217	64	15	has	have	AUX
chd-217	64	16	contributed	contribute	VERB
chd-217	64	17	to	to	ADP
chd-217	64	18	the	the	DET
chd-217	64	19	subject	subject	ADJ
chd-217	64	20	modelling	modelling	NOUN
chd-217	64	21	problem	problem	NOUN
chd-217	64	22	.	.	PUNCT
chd-217	65	1	for	for	ADP
chd-217	65	2	instance	instance	NOUN
chd-217	65	3	,	,	PUNCT
chd-217	65	4	bertopic	bertopic	NOUN
chd-217	65	5	[	[	X
chd-217	65	6	22	22	NUM
chd-217	65	7	]	]	PUNCT
chd-217	65	8	is	be	AUX
chd-217	65	9	a	a	DET
chd-217	65	10	topic	topic	NOUN
chd-217	65	11	modelling	modelling	NOUN
chd-217	65	12	technique	technique	NOUN
chd-217	65	13	that	that	PRON
chd-217	65	14	employs	employ	VERB
chd-217	65	15	bert	bert	NOUN
chd-217	65	16	embeddings	embedding	NOUN
chd-217	65	17	and	and	CCONJ
chd-217	65	18	a	a	DET
chd-217	65	19	class	class	NOUN
chd-217	65	20	-	-	PUNCT
chd-217	65	21	based	base	VERB
chd-217	65	22	tf	tf	PROPN
chd-217	65	23	-	-	PUNCT
chd-217	65	24	idf	idf	PROPN
chd-217	65	25	to	to	PART
chd-217	65	26	create	create	VERB
chd-217	65	27	dense	dense	ADJ
chd-217	65	28	clusters	cluster	NOUN
chd-217	65	29	.	.	PUNCT
chd-217	66	1	additionally	additionally	ADV
chd-217	66	2	,	,	PUNCT
chd-217	66	3	it	it	PRON
chd-217	66	4	uses	use	VERB
chd-217	66	5	the	the	DET
chd-217	66	6	uniform	uniform	ADJ
chd-217	66	7	manifold	manifold	ADJ
chd-217	66	8	approximation	approximation	NOUN
chd-217	66	9	and	and	CCONJ
chd-217	66	10	projection	projection	NOUN
chd-217	66	11	(	(	PUNCT
chd-217	66	12	umap	umap	ADJ
chd-217	66	13	)	)	PUNCT
chd-217	66	14	technique	technique	NOUN
chd-217	66	15	to	to	PART
chd-217	66	16	reduce	reduce	VERB
chd-217	66	17	the	the	DET
chd-217	66	18	dimensionality	dimensionality	NOUN
chd-217	66	19	of	of	ADP
chd-217	66	20	the	the	DET
chd-217	66	21	embeddings	embedding	NOUN
chd-217	66	22	before	before	ADP
chd-217	66	23	clustering	cluster	VERB
chd-217	66	24	the	the	DET
chd-217	66	25	documents	document	NOUN
chd-217	66	26	[	[	X
chd-217	66	27	23	23	NUM
chd-217	66	28	]	]	PUNCT
chd-217	66	29	.	.	PUNCT
chd-217	67	1	initial	initial	ADJ
chd-217	67	2	studies	study	NOUN
chd-217	67	3	with	with	ADP
chd-217	67	4	the	the	DET
chd-217	67	5	bertopic	bertopic	NOUN
chd-217	67	6	approach	approach	NOUN
chd-217	67	7	yielded	yield	VERB
chd-217	67	8	promising	promising	ADJ
chd-217	67	9	results	result	NOUN
chd-217	67	10	;	;	PUNCT
chd-217	67	11	consequently	consequently	ADV
chd-217	67	12	,	,	PUNCT
chd-217	67	13	this	this	DET
chd-217	67	14	work	work	NOUN
chd-217	67	15	aims	aim	VERB
chd-217	67	16	to	to	PART
chd-217	67	17	conduct	conduct	VERB
chd-217	67	18	experiments	experiment	NOUN
chd-217	67	19	with	with	ADP
chd-217	67	20	the	the	DET
chd-217	67	21	bertopic	bertopic	NOUN
chd-217	67	22	technique	technique	NOUN
chd-217	67	23	utilizing	utilize	VERB
chd-217	67	24	various	various	ADJ
chd-217	67	25	plms	plm	NOUN
chd-217	67	26	and	and	CCONJ
chd-217	67	27	compare	compare	VERB
chd-217	67	28	their	their	PRON
chd-217	67	29	results	result	NOUN
chd-217	67	30	to	to	PART
chd-217	67	31	well	well	ADV
chd-217	67	32	established	establish	VERB
chd-217	67	33	methods	method	NOUN
chd-217	67	34	such	such	ADJ
chd-217	67	35	as	as	ADP
chd-217	67	36	lda	lda	PROPN
chd-217	67	37	.	.	PUNCT
chd-217	68	1	pycaret	pycaret	PROPN
chd-217	69	1	[	[	X
chd-217	69	2	24	24	NUM
chd-217	69	3	]	]	PUNCT
chd-217	69	4	is	be	AUX
chd-217	69	5	an	an	DET
chd-217	69	6	open	open	ADJ
chd-217	69	7	-	-	PUNCT
chd-217	69	8	source	source	NOUN
chd-217	69	9	python	python	NOUN
chd-217	69	10	toolkit	toolkit	NOUN
chd-217	69	11	for	for	ADP
chd-217	69	12	low	low	ADJ
chd-217	69	13	-	-	PUNCT
chd-217	69	14	code	code	NOUN
chd-217	69	15	machine	machine	NOUN
chd-217	69	16	learning	learn	VERB
chd-217	69	17	that	that	SCONJ
chd-217	69	18	streamlines	streamline	NOUN
chd-217	69	19	machine	machine	NOUN
chd-217	69	20	learning	learn	VERB
chd-217	69	21	operations	operation	NOUN
chd-217	69	22	.	.	PUNCT
chd-217	70	1	it	it	PRON
chd-217	70	2	is	be	AUX
chd-217	70	3	an	an	DET
chd-217	70	4	end	end	NOUN
chd-217	70	5	-	-	PUNCT
chd-217	70	6	to	to	ADP
chd-217	70	7	-	-	PUNCT
chd-217	70	8	end	end	NOUN
chd-217	70	9	machine	machine	NOUN
chd-217	70	10	learning	learning	NOUN
chd-217	70	11	and	and	CCONJ
chd-217	70	12	model	model	NOUN
chd-217	70	13	management	management	NOUN
chd-217	70	14	application	application	NOUN
chd-217	70	15	that	that	PRON
chd-217	70	16	exponentially	exponentially	ADV
chd-217	70	17	accelerates	accelerate	VERB
chd-217	70	18	the	the	DET
chd-217	70	19	trial	trial	NOUN
chd-217	70	20	cycle	cycle	NOUN
chd-217	70	21	and	and	CCONJ
chd-217	70	22	increases	increase	VERB
chd-217	70	23	your	your	PRON
chd-217	70	24	productivity	productivity	NOUN
chd-217	70	25	.	.	PUNCT
chd-217	71	1	compared	compare	VERB
chd-217	71	2	to	to	ADP
chd-217	71	3	other	other	ADJ
chd-217	71	4	open	open	ADJ
chd-217	71	5	-	-	PUNCT
chd-217	71	6	source	source	NOUN
chd-217	71	7	machine	machine	NOUN
chd-217	71	8	learning	learning	NOUN
chd-217	71	9	libraries	library	NOUN
chd-217	71	10	,	,	PUNCT
chd-217	71	11	pycaret	pycaret	NOUN
chd-217	71	12	is	be	AUX
chd-217	71	13	an	an	DET
chd-217	71	14	alternative	alternative	ADJ
chd-217	71	15	low	low	ADJ
chd-217	71	16	-	-	PUNCT
chd-217	71	17	code	code	NOUN
chd-217	71	18	library	library	NOUN
chd-217	71	19	that	that	PRON
chd-217	71	20	can	can	AUX
chd-217	71	21	replace	replace	VERB
chd-217	71	22	hundreds	hundred	NOUN
chd-217	71	23	of	of	ADP
chd-217	71	24	lines	line	NOUN
chd-217	71	25	of	of	ADP
chd-217	71	26	code	code	NOUN
chd-217	71	27	with	with	ADP
chd-217	71	28	only	only	ADV
chd-217	71	29	a	a	DET
chd-217	71	30	few	few	ADJ
chd-217	71	31	lines	line	NOUN
chd-217	71	32	.	.	PUNCT
chd-217	72	1	this	this	PRON
chd-217	72	2	makes	make	VERB
chd-217	72	3	experiments	experiment	NOUN
chd-217	72	4	significantly	significantly	ADV
chd-217	72	5	quicker	quick	ADV
chd-217	72	6	and	and	CCONJ
chd-217	72	7	more	more	ADV
chd-217	72	8	productive	productive	ADJ
chd-217	72	9	.	.	PUNCT
chd-217	73	1	pycaret	pycaret	PROPN
chd-217	73	2	is	be	AUX
chd-217	73	3	a	a	DET
chd-217	73	4	wrapper	wrapper	NOUN
chd-217	73	5	for	for	ADP
chd-217	73	6	several	several	ADJ
chd-217	73	7	machine	machine	NOUN
chd-217	73	8	learning	learning	NOUN
chd-217	73	9	libraries	library	NOUN
chd-217	73	10	and	and	CCONJ
chd-217	73	11	frameworks	framework	NOUN
chd-217	73	12	,	,	PUNCT
chd-217	73	13	including	include	VERB
chd-217	73	14	sci	sci	PROPN
chd-217	73	15	-	-	PUNCT
chd-217	73	16	kit	kit	NOUN
chd-217	73	17	-	-	PUNCT
chd-217	73	18	learn	learn	NOUN
chd-217	73	19	,	,	PUNCT
chd-217	73	20	xgboost	xgboost	ADV
chd-217	73	21	,	,	PUNCT
chd-217	73	22	lightgbm	lightgbm	ADJ
chd-217	73	23	,	,	PUNCT
chd-217	73	24	catboost	catboost	NOUN
chd-217	73	25	,	,	PUNCT
chd-217	73	26	spacy	spacy	NOUN
chd-217	73	27	,	,	PUNCT
chd-217	73	28	optuna	optuna	PROPN
chd-217	73	29	,	,	PUNCT
chd-217	73	30	hyperopt	hyperopt	PROPN
chd-217	73	31	,	,	PUNCT
chd-217	73	32	ray	ray	NOUN
chd-217	73	33	,	,	PUNCT
chd-217	73	34	and	and	CCONJ
chd-217	73	35	a	a	DET
chd-217	73	36	few	few	ADJ
chd-217	73	37	more	more	ADJ
chd-217	73	38	.	.	PUNCT
chd-217	74	1	figure	figure	VERB
chd-217	74	2	2	2	NUM
chd-217	74	3	.	.	PUNCT
chd-217	74	4	project	project	NOUN
chd-217	74	5	workflow	workflow	NOUN
chd-217	74	6	methods	method	NOUN
chd-217	74	7	this	this	DET
chd-217	74	8	article	article	NOUN
chd-217	74	9	analyzes	analyze	VERB
chd-217	74	10	pubmed	pubmed	PROPN
chd-217	74	11	abstracts	abstract	NOUN
chd-217	74	12	using	use	VERB
chd-217	74	13	embedding	embed	VERB
chd-217	74	14	clustering	clustering	NOUN
chd-217	74	15	-	-	PUNCT
chd-217	74	16	based	base	VERB
chd-217	74	17	models	model	NOUN
chd-217	74	18	with	with	ADP
chd-217	74	19	lda	lda	PROPN
chd-217	75	1	[	[	X
chd-217	75	2	21	21	NUM
chd-217	75	3	]	]	PUNCT
chd-217	75	4	.	.	PUNCT
chd-217	76	1	history	history	NOUN
chd-217	76	2	’s	’s	PART
chd-217	76	3	typical	typical	ADJ
chd-217	76	4	conventional	conventional	ADJ
chd-217	76	5	topic	topic	NOUN
chd-217	76	6	model	model	NOUN
chd-217	76	7	produces	produce	VERB
chd-217	76	8	subjects	subject	NOUN
chd-217	76	9	using	use	VERB
chd-217	76	10	document	document	NOUN
chd-217	76	11	-	-	PUNCT
chd-217	76	12	topic	topic	NOUN
chd-217	76	13	and	and	CCONJ
chd-217	76	14	topic	topic	NOUN
chd-217	76	15	-	-	PUNCT
chd-217	76	16	word	word	NOUN
chd-217	76	17	distributions	distribution	NOUN
chd-217	76	18	.	.	PUNCT
chd-217	77	1	in	in	ADP
chd-217	77	2	this	this	DET
chd-217	77	3	study	study	NOUN
chd-217	77	4	,	,	PUNCT
chd-217	77	5	we	we	PRON
chd-217	77	6	examine	examine	VERB
chd-217	77	7	the	the	DET
chd-217	77	8	topic	topic	NOUN
chd-217	77	9	of	of	ADP
chd-217	77	10	modelling	model	VERB
chd-217	77	11	text	text	NOUN
chd-217	77	12	corpora	corpora	NOUN
chd-217	77	13	and	and	CCONJ
chd-217	77	14	other	other	ADJ
chd-217	77	15	discrete	discrete	ADJ
chd-217	77	16	data	data	NOUN
chd-217	77	17	sets	set	NOUN
chd-217	77	18	by	by	ADP
chd-217	77	19	extracting	extract	VERB
chd-217	77	20	the	the	DET
chd-217	77	21	causes	cause	NOUN
chd-217	77	22	of	of	ADP
chd-217	77	23	health	health	NOUN
chd-217	77	24	disparities	disparity	NOUN
chd-217	77	25	in	in	ADP
chd-217	77	26	cancer	cancer	NOUN
chd-217	77	27	care	care	NOUN
chd-217	77	28	.	.	PUNCT
chd-217	78	1	bertopic	bertopic	NOUN
chd-217	78	2	modelling	model	VERB
chd-217	78	3	bertopic	bertopic	NOUN
chd-217	78	4	model	model	NOUN
chd-217	78	5	exploits	exploit	VERB
chd-217	78	6	bert+umap+hdbscan	bert+umap+hdbscan	PUNCT
chd-217	79	1	[	[	X
chd-217	79	2	22	22	NUM
chd-217	79	3	]	]	PUNCT
chd-217	79	4	,	,	PUNCT
chd-217	79	5	a	a	DET
chd-217	79	6	clustering	clustering	NOUN
chd-217	79	7	-	-	PUNCT
chd-217	79	8	based	base	VERB
chd-217	79	9	method	method	NOUN
chd-217	79	10	that	that	PRON
chd-217	79	11	uses	use	VERB
chd-217	79	12	hdbscan	hdbscan	PROPN
chd-217	79	13	(	(	PUNCT
chd-217	79	14	mcinnes	mcinne	NOUN
chd-217	79	15	and	and	CCONJ
chd-217	79	16	healy	healy	PROPN
chd-217	79	17	,	,	PUNCT
chd-217	79	18	2017	2017	NUM
chd-217	79	19	)	)	PUNCT
chd-217	79	20	to	to	PART
chd-217	79	21	cluster	cluster	NOUN
chd-217	79	22	sentences	sentence	NOUN
chd-217	79	23	bert	bert	PROPN
chd-217	79	24	embeddings	embedding	NOUN
chd-217	79	25	.	.	PUNCT
chd-217	80	1	uniform	uniform	ADJ
chd-217	80	2	manifold	manifold	ADJ
chd-217	80	3	approximation	approximation	NOUN
chd-217	80	4	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	NUM
chd-217	80	5	e5	e5	PROPN
chd-217	80	6	cancer	cancer	NOUN
chd-217	80	7	health	health	NOUN
chd-217	80	8	disparities	disparity	NOUN
chd-217	80	9	research	research	NOUN
chd-217	80	10	projection	projection	NOUN
chd-217	80	11	(	(	PUNCT
chd-217	80	12	umap	umap	ADJ
chd-217	80	13	)	)	PUNCT
chd-217	81	1	[	[	X
chd-217	81	2	25	25	NUM
chd-217	81	3	]	]	PUNCT
chd-217	81	4	and	and	CCONJ
chd-217	81	5	a	a	DET
chd-217	81	6	classbased	classbase	VERB
chd-217	81	7	term	term	NOUN
chd-217	81	8	frequency	frequency	NOUN
chd-217	81	9	inverse	inverse	NOUN
chd-217	81	10	document	document	NOUN
chd-217	81	11	frequency	frequency	NOUN
chd-217	81	12	(	(	PUNCT
chd-217	81	13	c	c	X
chd-217	81	14	-	-	PUNCT
chd-217	81	15	tf	tf	PROPN
chd-217	81	16	-	-	PUNCT
chd-217	81	17	idf	idf	NOUN
chd-217	81	18	)	)	PUNCT
chd-217	81	19	to	to	PART
chd-217	81	20	reduce	reduce	VERB
chd-217	81	21	embedding	embed	VERB
chd-217	81	22	dimensions	dimension	NOUN
chd-217	81	23	.	.	PUNCT
chd-217	82	1	this	this	DET
chd-217	82	2	method	method	NOUN
chd-217	82	3	identifies	identify	VERB
chd-217	82	4	themes	theme	NOUN
chd-217	82	5	on	on	ADP
chd-217	82	6	cancer	cancer	NOUN
chd-217	82	7	health	health	NOUN
chd-217	82	8	inequalities	inequality	NOUN
chd-217	82	9	and	and	CCONJ
chd-217	82	10	narrows	narrow	VERB
chd-217	82	11	down	down	ADP
chd-217	82	12	the	the	DET
chd-217	82	13	knowledge	knowledge	NOUN
chd-217	82	14	structure	structure	NOUN
chd-217	82	15	of	of	ADP
chd-217	82	16	highscoring	highscore	VERB
chd-217	82	17	themes	theme	NOUN
chd-217	82	18	and	and	CCONJ
chd-217	82	19	related	related	ADJ
chd-217	82	20	trends	trend	NOUN
chd-217	82	21	.	.	PUNCT
chd-217	83	1	the	the	DET
chd-217	83	2	objective	objective	NOUN
chd-217	83	3	is	be	AUX
chd-217	83	4	to	to	PART
chd-217	83	5	discover	discover	VERB
chd-217	83	6	concise	concise	ADJ
chd-217	83	7	descriptions	description	NOUN
chd-217	83	8	of	of	ADP
chd-217	83	9	the	the	DET
chd-217	83	10	cancer	cancer	NOUN
chd-217	83	11	health	health	NOUN
chd-217	83	12	disparity	disparity	NOUN
chd-217	83	13	collection	collection	NOUN
chd-217	83	14	that	that	PRON
chd-217	83	15	facilitate	facilitate	VERB
chd-217	83	16	the	the	DET
chd-217	83	17	efficient	efficient	ADJ
chd-217	83	18	processing	processing	NOUN
chd-217	83	19	of	of	ADP
chd-217	83	20	large	large	ADJ
chd-217	83	21	groups	group	NOUN
chd-217	83	22	while	while	SCONJ
chd-217	83	23	preserving	preserve	VERB
chd-217	83	24	the	the	DET
chd-217	83	25	essential	essential	ADJ
chd-217	83	26	statistical	statistical	ADJ
chd-217	83	27	relationships	relationship	NOUN
chd-217	83	28	beneficial	beneficial	ADJ
chd-217	83	29	for	for	ADP
chd-217	83	30	fundamental	fundamental	ADJ
chd-217	83	31	tasks	task	NOUN
chd-217	83	32	such	such	ADJ
chd-217	83	33	as	as	ADP
chd-217	83	34	classification	classification	NOUN
chd-217	83	35	,	,	PUNCT
chd-217	83	36	novelty	novelty	NOUN
chd-217	83	37	detection	detection	NOUN
chd-217	83	38	,	,	PUNCT
chd-217	83	39	summarization	summarization	NOUN
chd-217	83	40	,	,	PUNCT
chd-217	83	41	and	and	CCONJ
chd-217	83	42	similarity	similarity	NOUN
chd-217	83	43	and	and	CCONJ
chd-217	83	44	relevance	relevance	NOUN
chd-217	83	45	judgments	judgment	NOUN
chd-217	83	46	.	.	PUNCT
chd-217	84	1	experiments	experiment	NOUN
chd-217	84	2	datasets	dataset	NOUN
chd-217	84	3	we	we	PRON
chd-217	84	4	scraped	scrape	VERB
chd-217	84	5	abstracts	abstract	NOUN
chd-217	84	6	on	on	ADP
chd-217	84	7	colon	colon	NOUN
chd-217	84	8	cancer	cancer	NOUN
chd-217	84	9	disparities	disparity	NOUN
chd-217	84	10	from	from	ADP
chd-217	84	11	the	the	DET
chd-217	84	12	pubmed	pubmed	PROPN
chd-217	84	13	database	database	PROPN
chd-217	84	14	with	with	ADP
chd-217	84	15	entrez	entrez	PROPN
chd-217	84	16	global	global	PROPN
chd-217	84	17	query	query	PROPN
chd-217	84	18	cross	cross	ADJ
chd-217	84	19	-	-	ADJ
chd-217	84	20	database	database	ADJ
chd-217	84	21	search	search	NOUN
chd-217	84	22	system	system	NOUN
chd-217	84	23	,	,	PUNCT
chd-217	84	24	using	use	VERB
chd-217	84	25	the	the	DET
chd-217	84	26	keyword	keyword	NOUN
chd-217	84	27	‘	'	PUNCT
chd-217	84	28	cancer	cancer	NOUN
chd-217	84	29	health	health	NOUN
chd-217	84	30	disparity	disparity	NOUN
chd-217	84	31	’	'	PUNCT
chd-217	84	32	and	and	CCONJ
chd-217	84	33	preprocessed	preprocesse	VERB
chd-217	84	34	the	the	DET
chd-217	84	35	data	datum	NOUN
chd-217	84	36	with	with	ADP
chd-217	84	37	natural	natural	ADJ
chd-217	84	38	language	language	NOUN
chd-217	84	39	tool	tool	NOUN
chd-217	84	40	kit	kit	NOUN
chd-217	84	41	(	(	PUNCT
chd-217	84	42	nltk	nltk	PROPN
chd-217	84	43	)	)	PUNCT
chd-217	84	44	us	we	PRON
chd-217	84	45	ing	e	VERB
chd-217	84	46	the	the	DET
chd-217	84	47	regex	regex	PROPN
chd-217	84	48	method	method	PROPN
chd-217	84	49	.	.	PUNCT
chd-217	85	1	evaluation	evaluation	NOUN
chd-217	85	2	metrics	metric	NOUN
chd-217	85	3	we	we	PRON
chd-217	85	4	assess	assess	VERB
chd-217	85	5	the	the	DET
chd-217	85	6	subject	subject	NOUN
chd-217	85	7	’s	’s	PART
chd-217	85	8	quality	quality	NOUN
chd-217	85	9	in	in	ADP
chd-217	85	10	terms	term	NOUN
chd-217	85	11	of	of	ADP
chd-217	85	12	topic	topic	NOUN
chd-217	85	13	diversity	diversity	NOUN
chd-217	85	14	and	and	CCONJ
chd-217	85	15	topic	topic	NOUN
chd-217	85	16	coherence	coherence	NOUN
chd-217	85	17	:	:	PUNCT
chd-217	85	18	topic	topic	NOUN
chd-217	85	19	diversity	diversity	NOUN
chd-217	85	20	(	(	PUNCT
chd-217	85	21	t.u.)(nan	t.u.)(nan	NOUN
chd-217	85	22	et	et	PROPN
chd-217	85	23	al	al	PROPN
chd-217	85	24	.	.	PROPN
chd-217	85	25	,	,	PUNCT
chd-217	85	26	2019	2019	NUM
chd-217	85	27	)	)	PUNCT
chd-217	85	28	quantifies	quantify	VERB
chd-217	85	29	the	the	DET
chd-217	85	30	originality	originality	NOUN
chd-217	85	31	of	of	ADP
chd-217	85	32	words	word	NOUN
chd-217	85	33	across	across	ADP
chd-217	85	34	all	all	DET
chd-217	85	35	subjects	subject	NOUN
chd-217	85	36	.	.	PUNCT
chd-217	86	1	normalized	normalize	VERB
chd-217	86	2	pointwise	pointwise	PROPN
chd-217	86	3	mutual	mutual	ADJ
chd-217	86	4	information	information	NOUN
chd-217	86	5	(	(	PUNCT
chd-217	86	6	npmi	npmi	NOUN
chd-217	86	7	)	)	PUNCT
chd-217	86	8	(	(	PUNCT
chd-217	86	9	newman	newman	PROPN
chd-217	86	10	et	et	PROPN
chd-217	86	11	al	al	PROPN
chd-217	86	12	.	.	PROPN
chd-217	86	13	,	,	PUNCT
chd-217	86	14	2010	2010	NUM
chd-217	86	15	)	)	PUNCT
chd-217	86	16	measures	measure	VERB
chd-217	86	17	topic	topic	NOUN
chd-217	86	18	coherence	coherence	NOUN
chd-217	86	19	internally	internally	ADV
chd-217	86	20	using	use	VERB
chd-217	86	21	a	a	DET
chd-217	86	22	sliding	slide	VERB
chd-217	86	23	window	window	NOUN
chd-217	86	24	to	to	PART
chd-217	86	25	count	count	VERB
chd-217	86	26	word	word	NOUN
chd-217	86	27	co	co	NOUN
chd-217	86	28	-	-	NOUN
chd-217	86	29	occurrence	occurrence	ADJ
chd-217	86	30	patterns	pattern	NOUN
chd-217	86	31	.	.	PUNCT
chd-217	87	1	topic	topic	NOUN
chd-217	87	2	coherence	coherence	NOUN
chd-217	87	3	(	(	PUNCT
chd-217	87	4	cv	cv	PROPN
chd-217	87	5	)	)	PUNCT
chd-217	87	6	(	(	PUNCT
chd-217	87	7	roder	roder	PROPN
chd-217	87	8	et	et	PROPN
chd-217	87	9	al	al	PROPN
chd-217	87	10	.	.	PROPN
chd-217	87	11	,	,	PUNCT
chd-217	87	12	2015	2015	NUM
chd-217	87	13	)	)	PUNCT
chd-217	87	14	is	be	AUX
chd-217	87	15	a	a	DET
chd-217	87	16	variant	variant	NOUN
chd-217	87	17	of	of	ADP
chd-217	87	18	npmi	npmi	NOUN
chd-217	87	19	that	that	PRON
chd-217	87	20	uses	use	VERB
chd-217	87	21	one	one	NUM
chd-217	87	22	-	-	PUNCT
chd-217	87	23	set	set	VERB
chd-217	87	24	segmentation	segmentation	NOUN
chd-217	87	25	to	to	PART
chd-217	87	26	calculate	calculate	VERB
chd-217	87	27	word	word	NOUN
chd-217	87	28	co	co	NOUN
chd-217	87	29	-	-	NOUN
chd-217	87	30	occurrences	occurrence	NOUN
chd-217	87	31	and	and	CCONJ
chd-217	87	32	cosine	cosine	NOUN
chd-217	87	33	similarity	similarity	NOUN
chd-217	87	34	as	as	ADP
chd-217	87	35	the	the	DET
chd-217	87	36	similarity	similarity	NOUN
chd-217	87	37	measure	measure	NOUN
chd-217	87	38	.	.	PUNCT
chd-217	88	1	figure	figure	VERB
chd-217	88	2	3	3	NUM
chd-217	88	3	.	.	PUNCT
chd-217	88	4	topic	topic	NOUN
chd-217	88	5	word	word	NOUN
chd-217	88	6	scores	score	NOUN
chd-217	88	7	visualizing	visualize	VERB
chd-217	88	8	the	the	DET
chd-217	88	9	chosen	choose	VERB
chd-217	88	10	keywords	keyword	NOUN
chd-217	88	11	for	for	ADP
chd-217	88	12	a	a	DET
chd-217	88	13	few	few	ADJ
chd-217	88	14	themes	theme	NOUN
chd-217	88	15	in	in	ADP
chd-217	88	16	figure	figure	NOUN
chd-217	88	17	2	2	NUM
chd-217	88	18	.	.	PUNCT
chd-217	89	1	the	the	DET
chd-217	89	2	relative	relative	ADJ
chd-217	89	3	c	c	NOUN
chd-217	89	4	-	-	PUNCT
chd-217	89	5	tf	tf	NUM
chd-217	89	6	-	-	PUNCT
chd-217	89	7	idf	idf	PROPN
chd-217	89	8	scores	score	NOUN
chd-217	89	9	across	across	ADP
chd-217	89	10	and	and	CCONJ
chd-217	89	11	within	within	ADP
chd-217	89	12	articles	article	NOUN
chd-217	89	13	provides	provide	VERB
chd-217	89	14	insight	insight	NOUN
chd-217	89	15	[	[	X
chd-217	89	16	26	26	NUM
chd-217	89	17	]	]	PUNCT
chd-217	89	18	.	.	PUNCT
chd-217	90	1	additionally	additionally	ADV
chd-217	90	2	,	,	PUNCT
chd-217	90	3	it	it	PRON
chd-217	90	4	is	be	AUX
chd-217	90	5	simple	simple	ADJ
chd-217	90	6	to	to	PART
chd-217	90	7	compare	compare	VERB
chd-217	90	8	subject	subject	ADJ
chd-217	90	9	representations	representation	NOUN
chd-217	90	10	to	to	ADP
chd-217	90	11	one	one	NUM
chd-217	90	12	another	another	DET
chd-217	90	13	.	.	PUNCT
chd-217	91	1	we	we	PRON
chd-217	91	2	can	can	AUX
chd-217	91	3	view	view	VERB
chd-217	91	4	the	the	DET
chd-217	91	5	top	top	ADJ
chd-217	91	6	words	word	NOUN
chd-217	91	7	for	for	ADP
chd-217	91	8	each	each	DET
chd-217	91	9	topic	topic	NOUN
chd-217	91	10	and	and	CCONJ
chd-217	91	11	the	the	DET
chd-217	91	12	topic	topic	NOUN
chd-217	91	13	word	word	NOUN
chd-217	91	14	scores	score	NOUN
chd-217	91	15	.	.	PUNCT
chd-217	92	1	so	so	ADV
chd-217	92	2	,	,	PUNCT
chd-217	92	3	in	in	ADP
chd-217	92	4	topic	topic	NOUN
chd-217	92	5	0	0	NUM
chd-217	92	6	,	,	PUNCT
chd-217	92	7	the	the	DET
chd-217	92	8	top	top	ADJ
chd-217	92	9	term	term	NOUN
chd-217	92	10	racial	racial	ADJ
chd-217	92	11	care	care	NOUN
chd-217	92	12	and	and	CCONJ
chd-217	92	13	ethnic	ethnic	ADJ
chd-217	92	14	.	.	PUNCT
chd-217	93	1	related	relate	VERB
chd-217	93	2	topics	topic	NOUN
chd-217	93	3	,	,	PUNCT
chd-217	93	4	for	for	ADP
chd-217	93	5	other	other	ADJ
chd-217	93	6	words	word	NOUN
chd-217	93	7	,	,	PUNCT
chd-217	93	8	can	can	AUX
chd-217	93	9	be	be	AUX
chd-217	93	10	analyzed	analyze	VERB
chd-217	93	11	.	.	PUNCT
chd-217	94	1	from	from	ADP
chd-217	94	2	the	the	DET
chd-217	94	3	topic	topic	NOUN
chd-217	94	4	similarity	similarity	NOUN
chd-217	94	5	scores	score	NOUN
chd-217	94	6	,	,	PUNCT
chd-217	94	7	the	the	DET
chd-217	94	8	top	top	ADJ
chd-217	94	9	10	10	NUM
chd-217	94	10	words	word	NOUN
chd-217	94	11	in	in	ADP
chd-217	94	12	the	the	DET
chd-217	94	13	document	document	NOUN
chd-217	94	14	are	be	AUX
chd-217	94	15	patients	patient	NOUN
chd-217	94	16	,	,	PUNCT
chd-217	94	17	surgical	surgical	ADJ
chd-217	94	18	,	,	PUNCT
chd-217	94	19	surgery	surgery	NOUN
chd-217	94	20	,	,	PUNCT
chd-217	94	21	pain	pain	NOUN
chd-217	94	22	,	,	PUNCT
chd-217	94	23	disparities	disparity	NOUN
chd-217	94	24	,	,	PUNCT
chd-217	94	25	total	total	ADJ
chd-217	94	26	,	,	PUNCT
chd-217	94	27	white	white	ADJ
chd-217	94	28	,	,	PUNCT
chd-217	94	29	racial	racial	ADJ
chd-217	94	30	,	,	PUNCT
chd-217	94	31	care	care	NOUN
chd-217	94	32	,	,	PUNCT
chd-217	94	33	and	and	CCONJ
chd-217	94	34	black	black	ADJ
chd-217	94	35	.	.	PUNCT
chd-217	95	1	patients	patient	NOUN
chd-217	95	2	have	have	VERB
chd-217	95	3	a	a	DET
chd-217	95	4	word	word	NOUN
chd-217	95	5	score	score	NOUN
chd-217	95	6	of	of	ADP
chd-217	95	7	0.049	0.049	NUM
chd-217	95	8	;	;	PUNCT
chd-217	95	9	surgical	surgical	ADJ
chd-217	95	10	has	have	VERB
chd-217	95	11	a	a	DET
chd-217	95	12	word	word	NOUN
chd-217	95	13	score	score	NOUN
chd-217	95	14	of	of	ADP
chd-217	95	15	0.039	0.039	NUM
chd-217	95	16	;	;	PUNCT
chd-217	95	17	surgery	surgery	NOUN
chd-217	95	18	is	be	AUX
chd-217	95	19	0.032	0.032	NUM
chd-217	95	20	;	;	PUNCT
chd-217	95	21	disparities	disparity	NOUN
chd-217	95	22	are	be	AUX
chd-217	95	23	0.025	0.025	NUM
chd-217	95	24	,	,	PUNCT
chd-217	95	25	the	the	DET
chd-217	95	26	total	total	NOUN
chd-217	95	27	has	have	VERB
chd-217	95	28	a	a	DET
chd-217	95	29	word	word	NOUN
chd-217	95	30	score	score	NOUN
chd-217	95	31	of	of	ADP
chd-217	95	32	0.025	0.025	NUM
chd-217	95	33	,	,	PUNCT
chd-217	95	34	white	white	PROPN
chd-217	95	35	has	have	VERB
chd-217	95	36	a	a	DET
chd-217	95	37	word	word	NOUN
chd-217	95	38	score	score	NOUN
chd-217	95	39	of	of	ADP
chd-217	95	40	0.023	0.023	NUM
chd-217	95	41	,	,	PUNCT
chd-217	95	42	racial	racial	ADJ
chd-217	95	43	has	have	VERB
chd-217	95	44	a	a	DET
chd-217	95	45	word	word	NOUN
chd-217	95	46	score	score	NOUN
chd-217	95	47	of	of	ADP
chd-217	95	48	0.021	0.021	NUM
chd-217	95	49	,	,	PUNCT
chd-217	95	50	care	care	NOUN
chd-217	95	51	has	have	VERB
chd-217	95	52	a	a	DET
chd-217	95	53	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	NUM
chd-217	95	54	e6	e6	NOUN
chd-217	95	55	cancer	cancer	NOUN
chd-217	95	56	health	health	NOUN
chd-217	95	57	disparities	disparity	NOUN
chd-217	95	58	research	research	NOUN
chd-217	95	59	word	word	NOUN
chd-217	95	60	score	score	NOUN
chd-217	95	61	of	of	ADP
chd-217	95	62	0.021	0.021	NUM
chd-217	95	63	,	,	PUNCT
chd-217	95	64	and	and	CCONJ
chd-217	95	65	black	black	NOUN
chd-217	95	66	has	have	VERB
chd-217	95	67	a	a	DET
chd-217	95	68	word	word	NOUN
chd-217	95	69	score	score	NOUN
chd-217	95	70	of	of	ADP
chd-217	95	71	0.0	0.0	NUM
chd-217	95	72	.	.	PUNCT
chd-217	96	1	these	these	DET
chd-217	96	2	words	word	NOUN
chd-217	96	3	have	have	VERB
chd-217	96	4	a	a	DET
chd-217	96	5	similarity	similarity	NOUN
chd-217	96	6	score	score	NOUN
chd-217	96	7	of	of	ADP
chd-217	96	8	0.48	0.48	NUM
chd-217	96	9	.	.	PUNCT
chd-217	97	1	frequent	frequent	ADJ
chd-217	97	2	topics	topic	NOUN
chd-217	97	3	in	in	ADP
chd-217	97	4	figure	figure	NOUN
chd-217	97	5	4	4	NUM
chd-217	97	6	,	,	PUNCT
chd-217	97	7	topic	topic	NOUN
chd-217	97	8	-1	-1	NOUN
chd-217	97	9	,	,	PUNCT
chd-217	97	10	disparities_health_care	disparities_health_care	PROPN
chd-217	97	11	_	_	NOUN
chd-217	97	12	patients	patient	NOUN
chd-217	97	13	,	,	PUNCT
chd-217	97	14	are	be	AUX
chd-217	97	15	the	the	DET
chd-217	97	16	commonly	commonly	ADV
chd-217	97	17	ignored	ignore	VERB
chd-217	97	18	outliers	outlier	NOUN
chd-217	97	19	,	,	PUNCT
chd-217	97	20	but	but	CCONJ
chd-217	97	21	this	this	DET
chd-217	97	22	topic	topic	NOUN
chd-217	97	23	seems	seem	VERB
chd-217	97	24	relevant	relevant	ADJ
chd-217	97	25	to	to	ADP
chd-217	97	26	the	the	DET
chd-217	97	27	researched	researched	ADJ
chd-217	97	28	theme	theme	NOUN
chd-217	97	29	.	.	PUNCT
chd-217	98	1	figure	figure	NOUN
chd-217	98	2	4	4	NUM
chd-217	98	3	.	.	PUNCT
chd-217	99	1	frequent	frequent	ADJ
chd-217	99	2	topics	topic	NOUN
chd-217	99	3	generated	generate	VERB
chd-217	99	4	figure	figure	NOUN
chd-217	99	5	5	5	NUM
chd-217	99	6	.	.	PUNCT
chd-217	99	7	topics	topic	NOUN
chd-217	99	8	and	and	CCONJ
chd-217	99	9	the	the	DET
chd-217	99	10	probability	probability	NOUN
chd-217	99	11	as	as	SCONJ
chd-217	99	12	observed	observe	VERB
chd-217	99	13	from	from	ADP
chd-217	99	14	the	the	DET
chd-217	99	15	hierarchical	hierarchical	ADJ
chd-217	99	16	clustering	clustering	NOUN
chd-217	99	17	of	of	ADP
chd-217	99	18	the	the	DET
chd-217	99	19	data	datum	NOUN
chd-217	99	20	,	,	PUNCT
chd-217	99	21	the	the	DET
chd-217	99	22	closely	closely	ADV
chd-217	99	23	clustered	clustered	ADJ
chd-217	99	24	racial	racial	ADJ
chd-217	99	25	health	health	NOUN
chd-217	99	26	disparity	disparity	NOUN
chd-217	99	27	is	be	AUX
chd-217	99	28	linked	link	VERB
chd-217	99	29	to	to	ADP
chd-217	99	30	the	the	DET
chd-217	99	31	youth	youth	NOUN
chd-217	99	32	’s	’s	PART
chd-217	99	33	mental	mental	ADJ
chd-217	99	34	health	health	NOUN
chd-217	99	35	.	.	PUNCT
chd-217	100	1	therefore	therefore	ADV
chd-217	100	2	,	,	PUNCT
chd-217	100	3	the	the	DET
chd-217	100	4	impact	impact	NOUN
chd-217	100	5	of	of	ADP
chd-217	100	6	racial	racial	ADJ
chd-217	100	7	health	health	NOUN
chd-217	100	8	disparities	disparity	NOUN
chd-217	100	9	on	on	ADP
chd-217	100	10	the	the	DET
chd-217	100	11	mental	mental	ADJ
chd-217	100	12	health	health	NOUN
chd-217	100	13	of	of	ADP
chd-217	100	14	individuals	individual	NOUN
chd-217	100	15	is	be	AUX
chd-217	100	16	considerable	considerable	ADJ
chd-217	100	17	.	.	PUNCT
chd-217	101	1	furthermore	furthermore	ADV
chd-217	101	2	,	,	PUNCT
chd-217	101	3	the	the	DET
chd-217	101	4	healthcare	healthcare	NOUN
chd-217	101	5	sector	sector	NOUN
chd-217	101	6	and	and	CCONJ
chd-217	101	7	cancer	cancer	NOUN
chd-217	101	8	disparity	disparity	NOUN
chd-217	101	9	are	be	AUX
chd-217	101	10	clustered	cluster	VERB
chd-217	101	11	,	,	PUNCT
chd-217	101	12	suggesting	suggest	VERB
chd-217	101	13	the	the	DET
chd-217	101	14	need	need	NOUN
chd-217	101	15	for	for	ADP
chd-217	101	16	more	more	ADV
chd-217	101	17	thorough	thorough	ADJ
chd-217	101	18	research	research	NOUN
chd-217	101	19	in	in	ADP
chd-217	101	20	this	this	DET
chd-217	101	21	field	field	NOUN
chd-217	101	22	.	.	PUNCT
chd-217	102	1	therefore	therefore	ADV
chd-217	102	2	,	,	PUNCT
chd-217	102	3	increasing	increase	VERB
chd-217	102	4	awareness	awareness	NOUN
chd-217	102	5	and	and	CCONJ
chd-217	102	6	research	research	NOUN
chd-217	102	7	on	on	ADP
chd-217	102	8	cancer	cancer	NOUN
chd-217	102	9	disparity	disparity	NOUN
chd-217	102	10	will	will	AUX
chd-217	102	11	substantially	substantially	ADV
chd-217	102	12	affect	affect	VERB
chd-217	102	13	the	the	DET
chd-217	102	14	healthcare	healthcare	NOUN
chd-217	102	15	sector	sector	NOUN
chd-217	102	16	.	.	PUNCT
chd-217	103	1	figure	figure	VERB
chd-217	103	2	6	6	NUM
chd-217	103	3	.	.	PUNCT
chd-217	103	4	hierarchical	hierarchical	ADJ
chd-217	103	5	clusters	cluster	NOUN
chd-217	103	6	of	of	ADP
chd-217	103	7	topics	topic	NOUN
chd-217	103	8	most	most	ADV
chd-217	103	9	similar	similar	ADJ
chd-217	103	10	topics	topic	NOUN
chd-217	103	11	figure	figure	VERB
chd-217	103	12	7	7	NUM
chd-217	103	13	.	.	PUNCT
chd-217	104	1	most	most	ADV
chd-217	104	2	similar	similar	ADJ
chd-217	104	3	topics	topic	NOUN
chd-217	104	4	fig	fig	NOUN
chd-217	104	5	7	7	NUM
chd-217	104	6	.	.	PUNCT
chd-217	105	1	shows	show	VERB
chd-217	105	2	the	the	DET
chd-217	105	3	related	related	ADJ
chd-217	105	4	topics	topic	NOUN
chd-217	105	5	to	to	ADP
chd-217	105	6	cancer	cancer	NOUN
chd-217	105	7	health	health	NOUN
chd-217	105	8	disparity	disparity	NOUN
chd-217	105	9	and	and	CCONJ
chd-217	105	10	its	its	PRON
chd-217	105	11	similarity	similarity	NOUN
chd-217	105	12	score	score	NOUN
chd-217	105	13	.	.	PUNCT
chd-217	106	1	the	the	DET
chd-217	106	2	highest	high	ADJ
chd-217	106	3	is	be	AUX
chd-217	106	4	cancer	cancer	NOUN
chd-217	106	5	with	with	ADP
chd-217	106	6	0.0508	0.0508	NUM
chd-217	106	7	,	,	PUNCT
chd-217	106	8	and	and	CCONJ
chd-217	106	9	the	the	DET
chd-217	106	10	least	least	ADJ
chd-217	106	11	is	be	AUX
chd-217	106	12	the	the	DET
chd-217	106	13	incidence	incidence	NOUN
chd-217	106	14	,	,	PUNCT
chd-217	106	15	with	with	ADP
chd-217	106	16	a	a	DET
chd-217	106	17	similarity	similarity	NOUN
chd-217	106	18	score	score	NOUN
chd-217	106	19	of	of	ADP
chd-217	106	20	0.5603	0.5603	NUM
chd-217	106	21	.	.	PUNCT
chd-217	107	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	AUX
chd-217	107	2	e7	e7	PROPN
chd-217	107	3	cancer	cancer	NOUN
chd-217	107	4	health	health	NOUN
chd-217	107	5	disparities	disparity	NOUN
chd-217	107	6	research	research	VERB
chd-217	107	7	heatmap	heatmap	NOUN
chd-217	107	8	matrix	matrix	NOUN
chd-217	107	9	build	build	VERB
chd-217	107	10	a	a	DET
chd-217	107	11	heatmap	heatmap	NOUN
chd-217	107	12	of	of	ADP
chd-217	107	13	the	the	DET
chd-217	107	14	similarity	similarity	NOUN
chd-217	107	15	matrix	matrix	NOUN
chd-217	107	16	for	for	ADP
chd-217	107	17	the	the	DET
chd-217	107	18	subject	subject	NOUN
chd-217	107	19	.	.	PUNCT
chd-217	108	1	a	a	DET
chd-217	108	2	heatmap	heatmap	NOUN
chd-217	108	3	depicting	depict	VERB
chd-217	108	4	the	the	DET
chd-217	108	5	similarity	similarity	NOUN
chd-217	108	6	of	of	ADP
chd-217	108	7	topics	topic	NOUN
chd-217	108	8	generated	generate	VERB
chd-217	108	9	based	base	VERB
chd-217	108	10	on	on	ADP
chd-217	108	11	the	the	DET
chd-217	108	12	cosine	cosine	NOUN
chd-217	108	13	similarity	similarity	NOUN
chd-217	108	14	matrix	matrix	NOUN
chd-217	108	15	between	between	ADP
chd-217	108	16	topic	topic	NOUN
chd-217	108	17	embeddings	embedding	NOUN
chd-217	108	18	.	.	PUNCT
chd-217	109	1	for	for	ADP
chd-217	109	2	example	example	NOUN
chd-217	109	3	,	,	PUNCT
chd-217	109	4	the	the	DET
chd-217	109	5	similarity	similarity	NOUN
chd-217	109	6	score	score	NOUN
chd-217	109	7	among	among	ADP
chd-217	109	8	racial	racial	ADJ
chd-217	109	9	-	-	PUNCT
chd-217	109	10	patients	patient	NOUN
chd-217	109	11	-	-	PUNCT
chd-217	109	12	disparities	disparity	NOUN
chd-217	109	13	,	,	PUNCT
chd-217	109	14	maternal	maternal	ADJ
chd-217	109	15	-	-	PUNCT
chd-217	109	16	women	woman	NOUN
chd-217	109	17	-	-	PUNCT
chd-217	109	18	birth	birth	NOUN
chd-217	109	19	,	,	PUNCT
chd-217	109	20	patients	patient	NOUN
chd-217	109	21	-	-	PUNCT
chd-217	109	22	surgical	surgical	ADJ
chd-217	109	23	-	-	PUNCT
chd-217	109	24	surgery	surgery	NOUN
chd-217	109	25	,	,	PUNCT
chd-217	109	26	children	child	NOUN
chd-217	109	27	-	-	PUNCT
chd-217	109	28	youthdental	youthdental	ADJ
chd-217	109	29	,	,	PUNCT
chd-217	109	30	cancer	cancer	NOUN
chd-217	109	31	-	-	PUNCT
chd-217	109	32	patients	patient	NOUN
chd-217	109	33	-	-	PUNCT
chd-217	109	34	survival	survival	NOUN
chd-217	109	35	,	,	PUNCT
chd-217	109	36	covid	covid	ADJ
chd-217	109	37	-	-	ADJ
chd-217	109	38	pandemic	pandemic	ADJ
chd-217	109	39	-	-	PUNCT
chd-217	109	40	survival	survival	NOUN
chd-217	109	41	,	,	PUNCT
chd-217	109	42	healthdisparities	healthdisparitie	NOUN
chd-217	109	43	-	-	PUNCT
chd-217	109	44	research	research	NOUN
chd-217	109	45	and	and	CCONJ
chd-217	109	46	sexual	sexual	ADJ
chd-217	109	47	-	-	PUNCT
chd-217	109	48	heterosexualbisexual	heterosexualbisexual	ADJ
chd-217	109	49	are	be	AUX
chd-217	109	50	very	very	ADV
chd-217	109	51	high	high	ADJ
chd-217	109	52	amongst	amongst	ADP
chd-217	109	53	others	other	NOUN
chd-217	109	54	as	as	SCONJ
chd-217	109	55	displayed	display	VERB
chd-217	109	56	in	in	ADP
chd-217	109	57	fig.8	fig.8	PROPN
chd-217	109	58	.	.	PUNCT
chd-217	110	1	figure	figure	NOUN
chd-217	110	2	8	8	NUM
chd-217	110	3	.	.	PUNCT
chd-217	111	1	similarity	similarity	NOUN
chd-217	111	2	matrix	matrix	NOUN
chd-217	111	3	heatmap	heatmap	NOUN
chd-217	111	4	model	model	NOUN
chd-217	111	5	evaluation	evaluation	NOUN
chd-217	111	6	with	with	ADP
chd-217	111	7	pycaret	pycaret	ADJ
chd-217	111	8	coherence	coherence	NOUN
chd-217	111	9	probabilistic	probabilistic	ADJ
chd-217	111	10	topic	topic	NOUN
chd-217	111	11	models	model	NOUN
chd-217	111	12	like	like	ADP
chd-217	111	13	lda	lda	PROPN
chd-217	111	14	are	be	AUX
chd-217	111	15	popular	popular	ADJ
chd-217	111	16	text	text	NOUN
chd-217	111	17	analysis	analysis	NOUN
chd-217	111	18	techniques	technique	NOUN
chd-217	111	19	because	because	SCONJ
chd-217	111	20	they	they	PRON
chd-217	111	21	provide	provide	VERB
chd-217	111	22	both	both	DET
chd-217	111	23	a	a	DET
chd-217	111	24	corpus	corpus	NOUN
chd-217	111	25	’s	’s	PART
chd-217	111	26	predictive	predictive	ADJ
chd-217	111	27	and	and	CCONJ
chd-217	111	28	latent	latent	ADJ
chd-217	111	29	topic	topic	NOUN
chd-217	111	30	representation	representation	NOUN
chd-217	111	31	.	.	PUNCT
chd-217	112	1	however	however	ADV
chd-217	112	2	,	,	PUNCT
chd-217	112	3	because	because	SCONJ
chd-217	112	4	of	of	ADP
chd-217	112	5	the	the	DET
chd-217	112	6	unsupervised	unsupervised	ADJ
chd-217	112	7	training	training	NOUN
chd-217	112	8	process	process	NOUN
chd-217	112	9	,	,	PUNCT
chd-217	112	10	there	there	PRON
chd-217	112	11	is	be	VERB
chd-217	112	12	a	a	DET
chd-217	112	13	longtime	longtime	ADJ
chd-217	112	14	expectation	expectation	NOUN
chd-217	112	15	that	that	SCONJ
chd-217	112	16	the	the	DET
chd-217	112	17	latent	latent	NOUN
chd-217	112	18	space	space	NOUN
chd-217	112	19	identified	identify	VERB
chd-217	112	20	by	by	ADP
chd-217	112	21	these	these	DET
chd-217	112	22	models	model	NOUN
chd-217	112	23	is	be	AUX
chd-217	112	24	typically	typically	ADV
chd-217	112	25	relevant	relevant	ADJ
chd-217	112	26	and	and	CCONJ
chd-217	112	27	valuable	valuable	ADJ
chd-217	112	28	and	and	CCONJ
chd-217	112	29	that	that	SCONJ
chd-217	112	30	testing	test	VERB
chd-217	112	31	such	such	ADJ
chd-217	112	32	assumptions	assumption	NOUN
chd-217	112	33	is	be	AUX
chd-217	112	34	difficult	difficult	ADJ
chd-217	112	35	.	.	PUNCT
chd-217	113	1	furthermore	furthermore	ADV
chd-217	113	2	,	,	PUNCT
chd-217	113	3	there	there	PRON
chd-217	113	4	is	be	VERB
chd-217	113	5	no	no	DET
chd-217	113	6	universally	universally	ADV
chd-217	113	7	accepted	accept	VERB
chd-217	113	8	list	list	NOUN
chd-217	113	9	of	of	ADP
chd-217	113	10	themes	theme	NOUN
chd-217	113	11	against	against	ADP
chd-217	113	12	which	which	PRON
chd-217	113	13	all	all	PRON
chd-217	113	14	compared	compare	VERB
chd-217	113	15	corpora	corpora	VERB
chd-217	113	16	.	.	PUNCT
chd-217	114	1	however	however	ADV
chd-217	114	2	,	,	PUNCT
chd-217	114	3	it	it	PRON
chd-217	114	4	is	be	AUX
chd-217	114	5	equally	equally	ADV
chd-217	114	6	vital	vital	ADJ
chd-217	114	7	to	to	PART
chd-217	114	8	determine	determine	VERB
chd-217	114	9	whether	whether	SCONJ
chd-217	114	10	a	a	DET
chd-217	114	11	trained	train	VERB
chd-217	114	12	model	model	NOUN
chd-217	114	13	is	be	AUX
chd-217	114	14	excellent	excellent	ADJ
chd-217	114	15	terrible	terrible	ADJ
chd-217	114	16	and	and	CCONJ
chd-217	114	17	compare	compare	VERB
chd-217	114	18	different	different	ADJ
chd-217	114	19	models	model	NOUN
chd-217	114	20	/	/	SYM
chd-217	114	21	methods	method	NOUN
chd-217	114	22	.	.	PUNCT
chd-217	115	1	various	various	ADJ
chd-217	115	2	methods	method	NOUN
chd-217	115	3	have	have	AUX
chd-217	115	4	been	be	AUX
chd-217	115	5	employed	employ	VERB
chd-217	115	6	in	in	ADP
chd-217	115	7	many	many	ADJ
chd-217	115	8	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	NUM
chd-217	115	9	e8	e8	PROPN
chd-217	115	10	cancer	cancer	NOUN
chd-217	115	11	health	health	NOUN
chd-217	115	12	disparities	disparity	NOUN
chd-217	115	13	research	research	VERB
chd-217	115	14	practical	practical	ADJ
chd-217	115	15	applications	application	NOUN
chd-217	115	16	to	to	PART
chd-217	115	17	determine	determine	VERB
chd-217	115	18	if	if	SCONJ
chd-217	115	19	"	"	PUNCT
chd-217	115	20	the	the	DET
chd-217	115	21	right	right	ADJ
chd-217	115	22	thing	thing	NOUN
chd-217	115	23	"	"	PUNCT
chd-217	115	24	has	have	AUX
chd-217	115	25	been	be	AUX
chd-217	115	26	learned	learn	VERB
chd-217	115	27	about	about	ADP
chd-217	115	28	the	the	DET
chd-217	115	29	word	word	NOUN
chd-217	115	30	corpus	corpus	NOUN
chd-217	115	31	.	.	PUNCT
chd-217	116	1	the	the	DET
chd-217	116	2	coherence	coherence	NOUN
chd-217	116	3	score	score	NOUN
chd-217	116	4	is	be	AUX
chd-217	116	5	the	the	DET
chd-217	116	6	evaluation	evaluation	NOUN
chd-217	116	7	method	method	NOUN
chd-217	116	8	used	use	VERB
chd-217	116	9	in	in	ADP
chd-217	116	10	the	the	DET
chd-217	116	11	proposed	propose	VERB
chd-217	116	12	research	research	NOUN
chd-217	116	13	to	to	PART
chd-217	116	14	evaluate	evaluate	VERB
chd-217	116	15	topic	topic	NOUN
chd-217	116	16	models	model	NOUN
chd-217	116	17	.	.	PUNCT
chd-217	117	1	topic	topic	NOUN
chd-217	117	2	coherence	coherence	NOUN
chd-217	117	3	assesses	assess	VERB
chd-217	117	4	the	the	DET
chd-217	117	5	semantic	semantic	ADJ
chd-217	117	6	similarity	similarity	NOUN
chd-217	117	7	between	between	ADP
chd-217	117	8	highscoring	highscore	VERB
chd-217	117	9	terms	term	NOUN
chd-217	117	10	in	in	ADP
chd-217	117	11	a	a	DET
chd-217	117	12	topic	topic	NOUN
chd-217	117	13	’s	’s	PART
chd-217	117	14	score	score	NOUN
chd-217	117	15	.	.	PUNCT
chd-217	118	1	these	these	DET
chd-217	118	2	metrics	metric	NOUN
chd-217	118	3	aid	aid	NOUN
chd-217	118	4	in	in	ADP
chd-217	118	5	the	the	DET
chd-217	118	6	distinction	distinction	NOUN
chd-217	118	7	between	between	ADP
chd-217	118	8	semantically	semantically	ADV
chd-217	118	9	interpretable	interpretable	ADJ
chd-217	118	10	issues	issue	NOUN
chd-217	118	11	and	and	CCONJ
chd-217	118	12	statistical	statistical	ADJ
chd-217	118	13	inference	inference	NOUN
chd-217	118	14	artefacts	artefact	NOUN
chd-217	118	15	.	.	PUNCT
chd-217	119	1	according	accord	VERB
chd-217	119	2	to	to	ADP
chd-217	119	3	fig	fig	NOUN
chd-217	119	4	.	.	PUNCT
chd-217	120	1	9	9	NUM
chd-217	120	2	,	,	PUNCT
chd-217	120	3	topic	topic	NOUN
chd-217	120	4	32	32	NUM
chd-217	120	5	words	word	NOUN
chd-217	120	6	have	have	VERB
chd-217	120	7	the	the	DET
chd-217	120	8	highest	high	ADJ
chd-217	120	9	coherence	coherence	NOUN
chd-217	120	10	score	score	NOUN
chd-217	120	11	,	,	PUNCT
chd-217	120	12	i.e.	i.e.	X
chd-217	120	13	,	,	PUNCT
chd-217	120	14	0.3687	0.3687	NUM
chd-217	120	15	,	,	PUNCT
chd-217	120	16	and	and	CCONJ
chd-217	120	17	topic	topic	NOUN
chd-217	120	18	8	8	NUM
chd-217	120	19	words	word	NOUN
chd-217	120	20	have	have	VERB
chd-217	120	21	the	the	DET
chd-217	120	22	lowest	low	ADJ
chd-217	120	23	,	,	PUNCT
chd-217	120	24	i.e.	i.e.	X
chd-217	120	25	,	,	PUNCT
chd-217	120	26	0.3255	0.3255	NUM
chd-217	120	27	.	.	PUNCT
chd-217	121	1	from	from	ADP
chd-217	121	2	fig	fig	NOUN
chd-217	121	3	.	.	PUNCT
chd-217	122	1	10	10	NUM
chd-217	122	2	obesity	obesity	NOUN
chd-217	122	3	,	,	PUNCT
chd-217	122	4	female	female	NOUN
chd-217	122	5	,	,	PUNCT
chd-217	122	6	male	male	NOUN
chd-217	122	7	,	,	PUNCT
chd-217	122	8	school	school	NOUN
chd-217	122	9	,	,	PUNCT
chd-217	122	10	survey	survey	NOUN
chd-217	122	11	,	,	PUNCT
chd-217	122	12	student	student	NOUN
chd-217	122	13	,	,	PUNCT
chd-217	122	14	post	post	NOUN
chd-217	122	15	,	,	PUNCT
chd-217	122	16	disparity	disparity	NOUN
chd-217	122	17	,	,	PUNCT
chd-217	122	18	gender	gender	NOUN
chd-217	122	19	,	,	PUNCT
chd-217	122	20	and	and	CCONJ
chd-217	122	21	increase	increase	VERB
chd-217	122	22	in	in	ADP
chd-217	122	23	topic	topic	NOUN
chd-217	122	24	32	32	NUM
chd-217	122	25	.	.	PUNCT
chd-217	122	26	figure	figure	NOUN
chd-217	122	27	9	9	NUM
chd-217	122	28	.	.	PUNCT
chd-217	122	29	topic	topic	NOUN
chd-217	122	30	with	with	ADP
chd-217	122	31	the	the	DET
chd-217	122	32	highest	high	ADJ
chd-217	122	33	coherence	coherence	NOUN
chd-217	122	34	value	value	NOUN
chd-217	122	35	.	.	PUNCT
chd-217	123	1	figure	figure	NOUN
chd-217	123	2	10	10	NUM
chd-217	123	3	.	.	PUNCT
chd-217	123	4	words	word	NOUN
chd-217	123	5	in	in	ADP
chd-217	123	6	topic	topic	NOUN
chd-217	123	7	32	32	NUM
chd-217	123	8	in	in	ADP
chd-217	123	9	contrast	contrast	NOUN
chd-217	123	10	,	,	PUNCT
chd-217	123	11	the	the	DET
chd-217	123	12	coherence	coherence	NOUN
chd-217	123	13	score	score	NOUN
chd-217	123	14	drops	drop	VERB
chd-217	123	15	sharply	sharply	ADV
chd-217	123	16	until	until	ADP
chd-217	123	17	topic	topic	NOUN
chd-217	123	18	64	64	NUM
chd-217	123	19	,	,	PUNCT
chd-217	123	20	then	then	ADV
chd-217	123	21	rises	rise	VERB
chd-217	123	22	until	until	ADP
chd-217	123	23	topic	topic	NOUN
chd-217	123	24	100	100	NUM
chd-217	123	25	.	.	PUNCT
chd-217	124	1	then	then	ADV
chd-217	124	2	,	,	PUNCT
chd-217	124	3	from	from	ADP
chd-217	124	4	100	100	NUM
chd-217	124	5	to	to	PART
chd-217	124	6	300	300	NUM
chd-217	124	7	,	,	PUNCT
chd-217	124	8	the	the	DET
chd-217	124	9	coherence	coherence	NOUN
chd-217	124	10	score	score	NOUN
chd-217	124	11	is	be	AUX
chd-217	124	12	nearly	nearly	ADV
chd-217	124	13	steady	steady	ADJ
chd-217	124	14	,	,	PUNCT
chd-217	124	15	with	with	ADP
chd-217	124	16	just	just	ADV
chd-217	124	17	a	a	DET
chd-217	124	18	minor	minor	ADJ
chd-217	124	19	decline	decline	NOUN
chd-217	124	20	.	.	PUNCT
chd-217	125	1	after	after	ADP
chd-217	125	2	topic	topic	NOUN
chd-217	125	3	300	300	NUM
chd-217	125	4	,	,	PUNCT
chd-217	125	5	the	the	DET
chd-217	125	6	coherence	coherence	NOUN
chd-217	125	7	score	score	NOUN
chd-217	125	8	begins	begin	VERB
chd-217	125	9	to	to	PART
chd-217	125	10	rise	rise	VERB
chd-217	125	11	again	again	ADV
chd-217	125	12	as	as	SCONJ
chd-217	125	13	displayed	display	VERB
chd-217	125	14	in	in	ADP
chd-217	125	15	fig	fig	NOUN
chd-217	125	16	11	11	NUM
chd-217	125	17	and	and	CCONJ
chd-217	125	18	12	12	NUM
chd-217	125	19	.	.	PUNCT
chd-217	126	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	PROPN
chd-217	126	2	e9	e9	PROPN
chd-217	126	3	cancer	cancer	NOUN
chd-217	126	4	health	health	NOUN
chd-217	126	5	disparities	disparity	NOUN
chd-217	126	6	research	research	NOUN
chd-217	126	7	figure	figure	NOUN
chd-217	126	8	11	11	NUM
chd-217	126	9	.	.	PUNCT
chd-217	127	1	topics	topic	NOUN
chd-217	127	2	with	with	ADP
chd-217	127	3	the	the	DET
chd-217	127	4	lowest	low	ADJ
chd-217	127	5	coherence	coherence	NOUN
chd-217	127	6	value	value	NOUN
chd-217	127	7	figure	figure	NOUN
chd-217	127	8	12	12	NUM
chd-217	127	9	.	.	PUNCT
chd-217	127	10	words	word	NOUN
chd-217	127	11	in	in	ADP
chd-217	127	12	topic	topic	NOUN
chd-217	127	13	8	8	NUM
chd-217	127	14	streamlit	streamlit	NOUN
chd-217	127	15	deployment	deployment	NOUN
chd-217	127	16	streamlit	streamlit	NOUN
chd-217	127	17	is	be	AUX
chd-217	127	18	used	use	VERB
chd-217	127	19	to	to	PART
chd-217	127	20	deploy	deploy	VERB
chd-217	127	21	data	data	NOUN
chd-217	127	22	visualisations	visualisation	NOUN
chd-217	127	23	generated	generate	VERB
chd-217	127	24	by	by	ADP
chd-217	127	25	topic	topic	NOUN
chd-217	127	26	modelling	modelling	NOUN
chd-217	127	27	using	use	VERB
chd-217	127	28	pycaret	pycaret	NOUN
chd-217	127	29	and	and	CCONJ
chd-217	127	30	bertopic	bertopic	NOUN
chd-217	127	31	.	.	PUNCT
chd-217	128	1	in	in	ADP
chd-217	128	2	addition	addition	NOUN
chd-217	128	3	,	,	PUNCT
chd-217	128	4	it	it	PRON
chd-217	128	5	is	be	AUX
chd-217	128	6	an	an	DET
chd-217	128	7	opensource	opensource	ADJ
chd-217	128	8	python	python	NOUN
chd-217	128	9	framework	framework	NOUN
chd-217	128	10	for	for	ADP
chd-217	128	11	building	build	VERB
chd-217	128	12	machine	machine	NOUN
chd-217	128	13	learning	learning	NOUN
chd-217	128	14	and	and	CCONJ
chd-217	128	15	data	datum	NOUN
chd-217	128	16	science	science	NOUN
chd-217	128	17	web	web	NOUN
chd-217	128	18	applications	application	NOUN
chd-217	128	19	.	.	PUNCT
chd-217	129	1	streamlit	streamlit	NOUN
chd-217	129	2	enables	enable	VERB
chd-217	129	3	the	the	DET
chd-217	129	4	application	application	NOUN
chd-217	129	5	development	development	NOUN
chd-217	129	6	by	by	ADP
chd-217	129	7	simplifying	simplify	VERB
chd-217	129	8	the	the	DET
chd-217	129	9	interactive	interactive	ADJ
chd-217	129	10	coding	code	VERB
chd-217	129	11	cycle	cycle	NOUN
chd-217	129	12	and	and	CCONJ
chd-217	129	13	displays	display	VERB
chd-217	129	14	results	result	NOUN
chd-217	129	15	in	in	ADP
chd-217	129	16	a	a	DET
chd-217	129	17	web	web	NOUN
chd-217	129	18	application	application	NOUN
chd-217	129	19	.	.	PUNCT
chd-217	130	1	figure	figure	NOUN
chd-217	130	2	10	10	NUM
chd-217	130	3	depicts	depict	VERB
chd-217	130	4	the	the	DET
chd-217	130	5	web	web	NOUN
chd-217	130	6	interface	interface	NOUN
chd-217	130	7	of	of	ADP
chd-217	130	8	the	the	DET
chd-217	130	9	streamlit	streamlit	NOUN
chd-217	130	10	web	web	NOUN
chd-217	130	11	.	.	PROPN
chd-217	131	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	AUX
chd-217	131	2	e10	e10	NUM
chd-217	131	3	cancer	cancer	NOUN
chd-217	131	4	health	health	NOUN
chd-217	131	5	disparities	disparity	NOUN
chd-217	131	6	research	research	NOUN
chd-217	131	7	figure	figure	NOUN
chd-217	131	8	13	13	NUM
chd-217	131	9	.	.	PUNCT
chd-217	132	1	streamlit	streamlit	ADJ
chd-217	132	2	display	display	NOUN
chd-217	132	3	of	of	ADP
chd-217	132	4	cancer	cancer	NOUN
chd-217	132	5	disparity	disparity	NOUN
chd-217	132	6	web	web	NOUN
chd-217	132	7	app	app	NOUN
chd-217	132	8	conclusion	conclusion	NOUN
chd-217	132	9	identifying	identify	VERB
chd-217	132	10	granular	granular	ADJ
chd-217	132	11	topics	topic	NOUN
chd-217	132	12	contributing	contribute	VERB
chd-217	132	13	to	to	ADP
chd-217	132	14	cancer	cancer	NOUN
chd-217	132	15	health	health	NOUN
chd-217	132	16	disparities	disparity	NOUN
chd-217	132	17	is	be	AUX
chd-217	132	18	necessary	necessary	ADJ
chd-217	132	19	and	and	CCONJ
chd-217	132	20	developing	develop	VERB
chd-217	132	21	measures	measure	NOUN
chd-217	132	22	for	for	ADP
chd-217	132	23	achieving	achieve	VERB
chd-217	132	24	health	health	NOUN
chd-217	132	25	equity	equity	NOUN
chd-217	132	26	.	.	PUNCT
chd-217	133	1	first	first	ADV
chd-217	133	2	,	,	PUNCT
chd-217	133	3	textual	textual	ADJ
chd-217	133	4	data	datum	NOUN
chd-217	133	5	was	be	AUX
chd-217	133	6	extracted	extract	VERB
chd-217	133	7	from	from	ADP
chd-217	133	8	pubmed	pubmed	PROPN
chd-217	133	9	abstracts	abstract	NOUN
chd-217	133	10	,	,	PUNCT
chd-217	133	11	then	then	ADV
chd-217	133	12	preprocessed	preprocesse	VERB
chd-217	133	13	the	the	DET
chd-217	133	14	data	datum	NOUN
chd-217	133	15	with	with	ADP
chd-217	133	16	natural	natural	ADJ
chd-217	133	17	language	language	NOUN
chd-217	133	18	toolkit	toolkit	NOUN
chd-217	133	19	(	(	PUNCT
chd-217	133	20	nltk	nltk	PROPN
chd-217	133	21	)	)	PUNCT
chd-217	133	22	libraries	library	NOUN
chd-217	133	23	,	,	PUNCT
chd-217	133	24	topic	topic	NOUN
chd-217	133	25	modelling	modelling	NOUN
chd-217	133	26	using	use	VERB
chd-217	133	27	the	the	DET
chd-217	133	28	pycaret	pycaret	NOUN
chd-217	133	29	and	and	CCONJ
chd-217	133	30	bertopic	bertopic	NOUN
chd-217	133	31	libraries	library	NOUN
chd-217	133	32	and	and	CCONJ
chd-217	133	33	evaluation	evaluation	NOUN
chd-217	133	34	with	with	ADP
chd-217	133	35	pycaret	pycaret	NOUN
chd-217	133	36	.	.	PUNCT
chd-217	134	1	both	both	DET
chd-217	134	2	models	model	NOUN
chd-217	134	3	produced	produce	VERB
chd-217	134	4	outcomes	outcome	NOUN
chd-217	134	5	which	which	PRON
chd-217	134	6	have	have	AUX
chd-217	134	7	been	be	AUX
chd-217	134	8	discussed	discuss	VERB
chd-217	134	9	in	in	ADP
chd-217	134	10	the	the	DET
chd-217	134	11	previous	previous	ADJ
chd-217	134	12	sections	section	NOUN
chd-217	134	13	.	.	PUNCT
chd-217	135	1	following	follow	VERB
chd-217	135	2	a	a	DET
chd-217	135	3	thorough	thorough	ADJ
chd-217	135	4	examination	examination	NOUN
chd-217	135	5	,	,	PUNCT
chd-217	135	6	phrases	phrase	NOUN
chd-217	135	7	such	such	ADJ
chd-217	135	8	as	as	ADP
chd-217	135	9	racial	racial	ADJ
chd-217	135	10	,	,	PUNCT
chd-217	135	11	health	health	NOUN
chd-217	135	12	,	,	PUNCT
chd-217	135	13	care	care	NOUN
chd-217	135	14	,	,	PUNCT
chd-217	135	15	black	black	ADJ
chd-217	135	16	,	,	PUNCT
chd-217	135	17	ethnic	ethnic	ADJ
chd-217	135	18	,	,	PUNCT
chd-217	135	19	white	white	ADJ
chd-217	135	20	,	,	PUNCT
chd-217	135	21	population	population	NOUN
chd-217	135	22	,	,	PUNCT
chd-217	135	23	socioeconomic	socioeconomic	ADJ
chd-217	135	24	status	status	NOUN
chd-217	135	25	,	,	PUNCT
chd-217	135	26	sexual	sexual	ADJ
chd-217	135	27	and	and	CCONJ
chd-217	135	28	others	other	NOUN
chd-217	135	29	appeared	appear	VERB
chd-217	135	30	in	in	ADP
chd-217	135	31	most	most	ADJ
chd-217	135	32	papers	paper	NOUN
chd-217	135	33	on	on	ADP
chd-217	135	34	cancer	cancer	NOUN
chd-217	135	35	disparities	disparity	NOUN
chd-217	135	36	.	.	PUNCT
chd-217	136	1	interestingly	interestingly	ADV
chd-217	136	2	,	,	PUNCT
chd-217	136	3	rare	rare	ADJ
chd-217	136	4	topics	topic	NOUN
chd-217	136	5	like	like	ADP
chd-217	136	6	obesity	obesity	NOUN
chd-217	136	7	,	,	PUNCT
chd-217	136	8	dental	dental	ADJ
chd-217	136	9	,	,	PUNCT
chd-217	136	10	children	child	NOUN
chd-217	136	11	,	,	PUNCT
chd-217	136	12	school	school	NOUN
chd-217	136	13	and	and	CCONJ
chd-217	136	14	discrepancy	discrepancy	NOUN
chd-217	136	15	emerge	emerge	VERB
chd-217	136	16	from	from	ADP
chd-217	136	17	the	the	DET
chd-217	136	18	models	model	NOUN
chd-217	136	19	.	.	PUNCT
chd-217	137	1	as	as	ADP
chd-217	137	2	a	a	DET
chd-217	137	3	result	result	NOUN
chd-217	137	4	,	,	PUNCT
chd-217	137	5	it	it	PRON
chd-217	137	6	is	be	AUX
chd-217	137	7	safe	safe	ADJ
chd-217	137	8	to	to	PART
chd-217	137	9	assume	assume	VERB
chd-217	137	10	that	that	SCONJ
chd-217	137	11	these	these	DET
chd-217	137	12	racial	racial	ADJ
chd-217	137	13	and	and	CCONJ
chd-217	137	14	ethnic	ethnic	ADJ
chd-217	137	15	minority	minority	NOUN
chd-217	137	16	groups	group	NOUN
chd-217	137	17	,	,	PUNCT
chd-217	137	18	countries	country	NOUN
chd-217	137	19	’	'	PUNCT
chd-217	137	20	economically	economically	ADV
chd-217	137	21	disadvantaged	disadvantaged	ADJ
chd-217	137	22	classes	class	NOUN
chd-217	137	23	,	,	PUNCT
chd-217	137	24	and	and	CCONJ
chd-217	137	25	,	,	PUNCT
chd-217	137	26	in	in	ADP
chd-217	137	27	general	general	ADJ
chd-217	137	28	,	,	PUNCT
chd-217	137	29	those	those	PRON
chd-217	137	30	with	with	ADP
chd-217	137	31	less	less	ADJ
chd-217	137	32	representation	representation	NOUN
chd-217	137	33	or	or	CCONJ
chd-217	137	34	resources	resource	NOUN
chd-217	137	35	become	become	VERB
chd-217	137	36	the	the	DET
chd-217	137	37	targets	target	NOUN
chd-217	137	38	of	of	ADP
chd-217	137	39	cancer	cancer	NOUN
chd-217	137	40	disparities	disparity	NOUN
chd-217	137	41	.	.	PUNCT
chd-217	138	1	the	the	DET
chd-217	138	2	paper	paper	NOUN
chd-217	138	3	also	also	ADV
chd-217	138	4	includes	include	VERB
chd-217	138	5	figures	figure	NOUN
chd-217	138	6	from	from	ADP
chd-217	138	7	pycaret	pycaret	NOUN
chd-217	138	8	and	and	CCONJ
chd-217	138	9	bertopic	bertopic	NOUN
chd-217	138	10	,	,	PUNCT
chd-217	138	11	such	such	ADJ
chd-217	138	12	as	as	ADP
chd-217	138	13	hierarchical	hierarchical	ADJ
chd-217	138	14	clustering	clustering	NOUN
chd-217	138	15	,	,	PUNCT
chd-217	138	16	similarity	similarity	NOUN
chd-217	138	17	matrix	matrix	NOUN
chd-217	138	18	,	,	PUNCT
chd-217	138	19	and	and	CCONJ
chd-217	138	20	topic	topic	NOUN
chd-217	138	21	word	word	NOUN
chd-217	138	22	scores	score	NOUN
chd-217	138	23	.	.	PUNCT
chd-217	139	1	these	these	DET
chd-217	139	2	analyses	analysis	NOUN
chd-217	139	3	can	can	AUX
chd-217	139	4	be	be	AUX
chd-217	139	5	valuable	valuable	ADJ
chd-217	139	6	in	in	ADP
chd-217	139	7	developing	develop	VERB
chd-217	139	8	additional	additional	ADJ
chd-217	139	9	ways	way	NOUN
chd-217	139	10	for	for	ADP
chd-217	139	11	more	more	ADV
chd-217	139	12	standardized	standardized	ADJ
chd-217	139	13	cancer	cancer	NOUN
chd-217	139	14	treatment	treatment	NOUN
chd-217	139	15	,	,	PUNCT
chd-217	139	16	reducing	reduce	VERB
chd-217	139	17	existing	exist	VERB
chd-217	139	18	disparities	disparity	NOUN
chd-217	139	19	among	among	ADP
chd-217	139	20	minorities	minority	NOUN
chd-217	139	21	.	.	PUNCT
chd-217	140	1	future	future	ADJ
chd-217	140	2	recommendation	recommendation	NOUN
chd-217	140	3	to	to	PART
chd-217	140	4	eliminate	eliminate	VERB
chd-217	140	5	cancer	cancer	NOUN
chd-217	140	6	disparities	disparity	NOUN
chd-217	140	7	,	,	PUNCT
chd-217	140	8	government	government	NOUN
chd-217	140	9	,	,	PUNCT
chd-217	140	10	private	private	ADJ
chd-217	140	11	,	,	PUNCT
chd-217	140	12	non	non	ADJ
chd-217	140	13	-	-	ADJ
chd-217	140	14	profit	profit	ADJ
chd-217	140	15	institutions	institution	NOUN
chd-217	140	16	and	and	CCONJ
chd-217	140	17	individuals	individual	NOUN
chd-217	140	18	need	need	VERB
chd-217	140	19	to	to	PART
chd-217	140	20	be	be	AUX
chd-217	140	21	actively	actively	ADV
chd-217	140	22	involved	involve	VERB
chd-217	140	23	in	in	ADP
chd-217	140	24	policies	policy	NOUN
chd-217	140	25	guiding	guide	VERB
chd-217	140	26	cancer	cancer	NOUN
chd-217	140	27	research	research	NOUN
chd-217	140	28	,	,	PUNCT
chd-217	140	29	prevention	prevention	NOUN
chd-217	140	30	,	,	PUNCT
chd-217	140	31	and	and	CCONJ
chd-217	140	32	treatment	treatment	NOUN
chd-217	140	33	.	.	PUNCT
chd-217	141	1	also	also	ADV
chd-217	141	2	,	,	PUNCT
chd-217	141	3	other	other	ADJ
chd-217	141	4	rare	rare	ADJ
chd-217	141	5	terms	term	NOUN
chd-217	141	6	discussed	discuss	VERB
chd-217	141	7	in	in	ADP
chd-217	141	8	the	the	DET
chd-217	141	9	conclusion	conclusion	NOUN
chd-217	141	10	need	need	VERB
chd-217	141	11	further	further	ADJ
chd-217	141	12	research	research	NOUN
chd-217	141	13	,	,	PUNCT
chd-217	141	14	even	even	ADV
chd-217	141	15	though	though	SCONJ
chd-217	141	16	it	it	PRON
chd-217	141	17	is	be	AUX
chd-217	141	18	a	a	DET
chd-217	141	19	challenging	challenging	ADJ
chd-217	141	20	goal	goal	NOUN
chd-217	141	21	.	.	PUNCT
chd-217	142	1	furthermore	furthermore	ADV
chd-217	142	2	,	,	PUNCT
chd-217	142	3	a	a	DET
chd-217	142	4	thorough	thorough	ADJ
chd-217	142	5	examination	examination	NOUN
chd-217	142	6	of	of	ADP
chd-217	142	7	the	the	DET
chd-217	142	8	various	various	ADJ
chd-217	142	9	individuals	individual	NOUN
chd-217	142	10	affected	affect	VERB
chd-217	142	11	by	by	ADP
chd-217	142	12	cancer	cancer	NOUN
chd-217	142	13	and	and	CCONJ
chd-217	142	14	how	how	SCONJ
chd-217	142	15	they	they	PRON
chd-217	142	16	differ	differ	VERB
chd-217	142	17	in	in	ADP
chd-217	142	18	their	their	PRON
chd-217	142	19	treatment	treatment	NOUN
chd-217	142	20	compared	compare	VERB
chd-217	142	21	to	to	ADP
chd-217	142	22	the	the	DET
chd-217	142	23	more	more	ADV
chd-217	142	24	privileged	privileged	ADJ
chd-217	142	25	and	and	CCONJ
chd-217	142	26	minority	minority	NOUN
chd-217	142	27	classes	class	NOUN
chd-217	142	28	need	need	VERB
chd-217	142	29	to	to	PART
chd-217	142	30	be	be	AUX
chd-217	142	31	carried	carry	VERB
chd-217	142	32	out	out	ADP
chd-217	142	33	.	.	PUNCT
chd-217	143	1	most	most	ADV
chd-217	143	2	importantly	importantly	ADV
chd-217	143	3	,	,	PUNCT
chd-217	143	4	artificial	artificial	ADJ
chd-217	143	5	intelligence	intelligence	NOUN
chd-217	143	6	can	can	AUX
chd-217	143	7	be	be	AUX
chd-217	143	8	used	use	VERB
chd-217	143	9	to	to	PART
chd-217	143	10	detect	detect	VERB
chd-217	143	11	these	these	DET
chd-217	143	12	subjects	subject	NOUN
chd-217	143	13	and	and	CCONJ
chd-217	143	14	act	act	VERB
chd-217	143	15	as	as	ADP
chd-217	143	16	a	a	DET
chd-217	143	17	catalyst	catalyst	NOUN
chd-217	143	18	in	in	ADP
chd-217	143	19	many	many	ADJ
chd-217	143	20	cancer	cancer	NOUN
chd-217	143	21	treatment	treatment	NOUN
chd-217	143	22	processes	process	NOUN
chd-217	143	23	starting	start	VERB
chd-217	143	24	from	from	ADP
chd-217	143	25	a	a	DET
chd-217	143	26	cancer	cancer	NOUN
chd-217	143	27	diagnosis	diagnosis	NOUN
chd-217	143	28	.	.	PUNCT
chd-217	144	1	funding	fund	VERB
chd-217	144	2	the	the	DET
chd-217	144	3	paper	paper	NOUN
chd-217	144	4	was	be	AUX
chd-217	144	5	not	not	PART
chd-217	144	6	funded	fund	VERB
chd-217	144	7	.	.	PUNCT
chd-217	145	1	declaration	declaration	NOUN
chd-217	145	2	of	of	ADP
chd-217	145	3	interest	interest	NOUN
chd-217	145	4	all	all	DET
chd-217	145	5	authors	author	NOUN
chd-217	145	6	of	of	ADP
chd-217	145	7	this	this	DET
chd-217	145	8	manuscript	manuscript	NOUN
chd-217	145	9	are	be	AUX
chd-217	145	10	part	part	ADJ
chd-217	145	11	-	-	PUNCT
chd-217	145	12	time	time	NOUN
chd-217	145	13	members	member	NOUN
chd-217	145	14	of	of	ADP
chd-217	145	15	a	a	DET
chd-217	145	16	newly	newly	ADV
chd-217	145	17	founded	found	VERB
chd-217	145	18	cancer	cancer	NOUN
chd-217	145	19	research	research	NOUN
chd-217	145	20	ai	ai	VERB
chd-217	145	21	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	NUM
chd-217	145	22	e11	e11	ADJ
chd-217	145	23	cancer	cancer	NOUN
chd-217	145	24	health	health	NOUN
chd-217	145	25	disparities	disparity	NOUN
chd-217	145	26	research	research	NOUN
chd-217	145	27	group(caresai	group(caresai	PROPN
chd-217	145	28	)	)	PUNCT
chd-217	145	29	.	.	PUNCT
chd-217	146	1	the	the	DET
chd-217	146	2	authors	author	NOUN
chd-217	146	3	have	have	VERB
chd-217	146	4	no	no	DET
chd-217	146	5	other	other	ADJ
chd-217	146	6	relevant	relevant	ADJ
chd-217	146	7	affiliations	affiliation	NOUN
chd-217	146	8	or	or	CCONJ
chd-217	146	9	financial	financial	ADJ
chd-217	146	10	involvement	involvement	NOUN
chd-217	146	11	with	with	ADP
chd-217	146	12	any	any	DET
chd-217	146	13	organization	organization	NOUN
chd-217	146	14	or	or	CCONJ
chd-217	146	15	entity	entity	NOUN
chd-217	146	16	with	with	ADP
chd-217	146	17	a	a	DET
chd-217	146	18	financial	financial	ADJ
chd-217	146	19	interest	interest	NOUN
chd-217	146	20	in	in	ADP
chd-217	146	21	or	or	CCONJ
chd-217	146	22	conflict	conflict	NOUN
chd-217	146	23	with	with	ADP
chd-217	146	24	the	the	DET
chd-217	146	25	subject	subject	ADJ
chd-217	146	26	matter	matter	NOUN
chd-217	146	27	or	or	CCONJ
chd-217	146	28	materials	material	NOUN
chd-217	146	29	discussed	discuss	VERB
chd-217	146	30	in	in	ADP
chd-217	146	31	the	the	DET
chd-217	146	32	manuscript	manuscript	NOUN
chd-217	146	33	apart	apart	ADV
chd-217	146	34	from	from	ADP
chd-217	146	35	those	those	PRON
chd-217	146	36	disclosed	disclose	VERB
chd-217	146	37	.	.	PUNCT
chd-217	147	1	acknowledgement	acknowledgement	PROPN
chd-217	147	2	special	special	ADJ
chd-217	147	3	thanks	thank	NOUN
chd-217	147	4	to	to	ADP
chd-217	147	5	omdena	omdena	NOUN
chd-217	147	6	for	for	ADP
chd-217	147	7	creating	create	VERB
chd-217	147	8	a	a	DET
chd-217	147	9	platform	platform	NOUN
chd-217	147	10	for	for	SCONJ
chd-217	147	11	us	we	PRON
chd-217	147	12	to	to	PART
chd-217	147	13	connect	connect	VERB
chd-217	147	14	and	and	CCONJ
chd-217	147	15	share	share	VERB
chd-217	147	16	similar	similar	ADJ
chd-217	147	17	interest	interest	NOUN
chd-217	147	18	on	on	ADP
chd-217	147	19	cancer	cancer	NOUN
chd-217	147	20	research	research	NOUN
chd-217	147	21	using	use	VERB
chd-217	147	22	ai	ai	VERB
chd-217	147	23	pathways	pathway	NOUN
chd-217	147	24	.	.	PUNCT
chd-217	148	1	authors	author	NOUN
chd-217	148	2	’	'	PUNCT
chd-217	148	3	contributions	contribution	NOUN
chd-217	148	4	ma	ma	PROPN
chd-217	148	5	–	–	PUNCT
chd-217	148	6	conceived	conceive	VERB
chd-217	148	7	the	the	DET
chd-217	148	8	idea	idea	NOUN
chd-217	148	9	of	of	ADP
chd-217	148	10	using	use	VERB
chd-217	148	11	bertopic	bertopic	NOUN
chd-217	148	12	for	for	ADP
chd-217	148	13	extracting	extract	VERB
chd-217	148	14	topics	topic	NOUN
chd-217	148	15	on	on	ADP
chd-217	148	16	cancer	cancer	NOUN
chd-217	148	17	health	health	NOUN
chd-217	148	18	disparity	disparity	NOUN
chd-217	148	19	as	as	ADP
chd-217	148	20	a	a	DET
chd-217	148	21	use	use	NOUN
chd-217	148	22	case	case	NOUN
chd-217	148	23	,	,	PUNCT
chd-217	148	24	designed	design	VERB
chd-217	148	25	the	the	DET
chd-217	148	26	workflow	workflow	NOUN
chd-217	148	27	,	,	PUNCT
chd-217	148	28	scraped	scrape	VERB
chd-217	148	29	the	the	DET
chd-217	148	30	abstract	abstract	ADJ
chd-217	148	31	data	datum	NOUN
chd-217	148	32	form	form	NOUN
chd-217	148	33	pubmed	pubmed	PROPN
chd-217	148	34	,	,	PUNCT
chd-217	148	35	part	part	NOUN
chd-217	148	36	of	of	ADP
chd-217	148	37	implementation	implementation	NOUN
chd-217	148	38	phase	phase	NOUN
chd-217	148	39	,	,	PUNCT
chd-217	148	40	manuscript	manuscript	NOUN
chd-217	148	41	writeups	writeup	NOUN
chd-217	148	42	and	and	CCONJ
chd-217	148	43	overall	overall	ADJ
chd-217	148	44	editing	editing	NOUN
chd-217	148	45	.	.	PUNCT
chd-217	149	1	sks	sk	NOUN
chd-217	149	2	–	–	PUNCT
chd-217	149	3	evaluated	evaluate	VERB
chd-217	149	4	the	the	DET
chd-217	149	5	model	model	NOUN
chd-217	149	6	using	use	VERB
chd-217	149	7	pycaret	pycaret	NOUN
chd-217	149	8	coherence	coherence	NOUN
chd-217	149	9	score	score	NOUN
chd-217	149	10	,	,	PUNCT
chd-217	149	11	deployed	deploy	VERB
chd-217	149	12	it	it	PRON
chd-217	149	13	on	on	ADP
chd-217	149	14	streamlit	streamlit	NOUN
chd-217	149	15	webapp	webapp	NOUN
chd-217	149	16	,	,	PUNCT
chd-217	149	17	results	result	VERB
chd-217	149	18	interpretation	interpretation	NOUN
chd-217	149	19	on	on	ADP
chd-217	149	20	the	the	DET
chd-217	149	21	manuscript	manuscript	NOUN
chd-217	149	22	.	.	PUNCT
chd-217	150	1	ns	ns	NUM
chd-217	150	2	–	–	PUNCT
chd-217	150	3	part	part	NOUN
chd-217	150	4	of	of	ADP
chd-217	150	5	implementation	implementation	NOUN
chd-217	150	6	phase	phase	NOUN
chd-217	150	7	using	use	VERB
chd-217	150	8	bertopic	bertopic	NOUN
chd-217	150	9	for	for	ADP
chd-217	150	10	topic	topic	NOUN
chd-217	150	11	extraction	extraction	NOUN
chd-217	150	12	of	of	ADP
chd-217	150	13	the	the	DET
chd-217	150	14	use	use	NOUN
chd-217	150	15	case	case	NOUN
chd-217	150	16	and	and	CCONJ
chd-217	150	17	result	result	VERB
chd-217	150	18	interpretation	interpretation	NOUN
chd-217	150	19	on	on	ADP
chd-217	150	20	the	the	DET
chd-217	150	21	manuscript	manuscript	NOUN
chd-217	150	22	nss	nss	VERB
chd-217	150	23	part	part	NOUN
chd-217	150	24	of	of	ADP
chd-217	150	25	implementation	implementation	NOUN
chd-217	150	26	phase	phase	NOUN
chd-217	150	27	using	use	VERB
chd-217	150	28	bertopic	bertopic	NOUN
chd-217	150	29	for	for	ADP
chd-217	150	30	topic	topic	NOUN
chd-217	150	31	extraction	extraction	NOUN
chd-217	150	32	of	of	ADP
chd-217	150	33	the	the	DET
chd-217	150	34	use	use	NOUN
chd-217	150	35	case	case	NOUN
chd-217	150	36	and	and	CCONJ
chd-217	150	37	result	result	VERB
chd-217	150	38	interpretation	interpretation	NOUN
chd-217	150	39	on	on	ADP
chd-217	150	40	the	the	DET
chd-217	150	41	manuscript	manuscript	NOUN
chd-217	150	42	bm	bm	PROPN
chd-217	150	43	–	–	PUNCT
chd-217	150	44	part	part	NOUN
chd-217	150	45	of	of	ADP
chd-217	150	46	implementation	implementation	NOUN
chd-217	150	47	phase	phase	NOUN
chd-217	150	48	using	use	VERB
chd-217	150	49	bertopic	bertopic	NOUN
chd-217	150	50	for	for	ADP
chd-217	150	51	topic	topic	NOUN
chd-217	150	52	extraction	extraction	NOUN
chd-217	150	53	of	of	ADP
chd-217	150	54	the	the	DET
chd-217	150	55	use	use	NOUN
chd-217	150	56	case	case	NOUN
chd-217	150	57	.	.	PUNCT
chd-217	150	58	.	.	PUNCT
chd-217	151	1	references	reference	NOUN
chd-217	151	2	1	1	NUM
chd-217	151	3	.	.	PUNCT
chd-217	151	4	zahnd	zahnd	NOUN
chd-217	151	5	we	we	PRON
chd-217	151	6	,	,	PUNCT
chd-217	151	7	james	james	PROPN
chd-217	151	8	as	as	ADP
chd-217	151	9	,	,	PUNCT
chd-217	151	10	jenkins	jenkins	PROPN
chd-217	151	11	wd	wd	PROPN
chd-217	151	12	,	,	PUNCT
chd-217	151	13	izadi	izadi	PROPN
chd-217	151	14	sr	sr	PROPN
chd-217	151	15	,	,	PUNCT
chd-217	151	16	fogleman	fogleman	PROPN
chd-217	151	17	aj	aj	PROPN
chd-217	151	18	,	,	PUNCT
chd-217	151	19	steward	steward	NOUN
chd-217	151	20	de	de	PROPN
chd-217	151	21	,	,	PUNCT
chd-217	151	22	et	et	PROPN
chd-217	151	23	al	al	PROPN
chd-217	151	24	.	.	PUNCT
chd-217	152	1	rural	rural	ADJ
chd-217	152	2	-	-	PUNCT
chd-217	152	3	urban	urban	ADJ
chd-217	152	4	differences	difference	NOUN
chd-217	152	5	in	in	ADP
chd-217	152	6	cancer	cancer	NOUN
chd-217	152	7	incidence	incidence	NOUN
chd-217	152	8	and	and	CCONJ
chd-217	152	9	trends	trend	NOUN
chd-217	152	10	in	in	ADP
chd-217	152	11	the	the	DET
chd-217	152	12	united	united	PROPN
chd-217	152	13	states	states	PROPN
chd-217	152	14	.	.	PUNCT
chd-217	153	1	cancer	cancer	NOUN
chd-217	153	2	epidemiology	epidemiology	NOUN
chd-217	153	3	and	and	CCONJ
chd-217	153	4	prevention	prevention	NOUN
chd-217	153	5	biomarkers	biomarker	NOUN
chd-217	153	6	.	.	PUNCT
chd-217	154	1	2018;27:1265	2018;27:1265	NUM
chd-217	154	2	–	–	PUNCT
chd-217	154	3	1274	1274	NUM
chd-217	154	4	.	.	PUNCT
chd-217	155	1	2	2	X
chd-217	155	2	.	.	X
chd-217	155	3	leive	leive	PROPN
chd-217	155	4	aa	aa	PROPN
chd-217	155	5	,	,	PUNCT
chd-217	155	6	ruhm	ruhm	PROPN
chd-217	155	7	cj	cj	NUM
chd-217	155	8	.	.	PUNCT
chd-217	156	1	education	education	NOUN
chd-217	156	2	gradients	gradient	NOUN
chd-217	156	3	in	in	ADP
chd-217	156	4	mortality	mortality	NOUN
chd-217	156	5	trends	trend	NOUN
chd-217	156	6	by	by	ADP
chd-217	156	7	gender	gender	NOUN
chd-217	156	8	and	and	CCONJ
chd-217	156	9	race	race	NOUN
chd-217	156	10	.	.	PUNCT
chd-217	157	1	journal	journal	PROPN
chd-217	157	2	of	of	ADP
chd-217	157	3	human	human	ADJ
chd-217	157	4	capital	capital	NOUN
chd-217	157	5	.	.	PUNCT
chd-217	158	1	2022;16(1):47	2022;16(1):47	X
chd-217	158	2	–	–	PUNCT
chd-217	158	3	72	72	NUM
chd-217	158	4	.	.	NOUN
chd-217	159	1	3	3	X
chd-217	159	2	.	.	X
chd-217	159	3	berkman	berkman	PROPN
chd-217	159	4	am	am	PROPN
chd-217	159	5	,	,	PUNCT
chd-217	159	6	andersen	andersen	PROPN
chd-217	159	7	cr	cr	PROPN
chd-217	159	8	,	,	PUNCT
chd-217	159	9	puthenpura	puthenpura	PROPN
chd-217	159	10	v	v	PROPN
chd-217	159	11	,	,	PUNCT
chd-217	159	12	livingston	livingston	PROPN
chd-217	159	13	ja	ja	PROPN
chd-217	159	14	,	,	PUNCT
chd-217	159	15	ahmed	ahmed	PROPN
chd-217	159	16	s	s	PROPN
chd-217	159	17	,	,	PUNCT
chd-217	159	18	cuglievan	cuglievan	PROPN
chd-217	159	19	b	b	X
chd-217	159	20	,	,	PUNCT
chd-217	159	21	et	et	PROPN
chd-217	159	22	al	al	PROPN
chd-217	159	23	.	.	PROPN
chd-217	159	24	impact	impact	NOUN
chd-217	159	25	of	of	ADP
chd-217	159	26	race	race	NOUN
chd-217	159	27	,	,	PUNCT
chd-217	159	28	ethnicity	ethnicity	NOUN
chd-217	159	29	,	,	PUNCT
chd-217	159	30	and	and	CCONJ
chd-217	159	31	socioeconomic	socioeconomic	ADJ
chd-217	159	32	status	status	NOUN
chd-217	159	33	over	over	ADP
chd-217	159	34	time	time	NOUN
chd-217	159	35	on	on	ADP
chd-217	159	36	the	the	DET
chd-217	159	37	long	long	ADJ
chd-217	159	38	-	-	PUNCT
chd-217	159	39	term	term	NOUN
chd-217	159	40	survival	survival	NOUN
chd-217	159	41	of	of	ADP
chd-217	159	42	adolescent	adolescent	ADJ
chd-217	159	43	and	and	CCONJ
chd-217	159	44	young	young	ADJ
chd-217	159	45	adult	adult	NOUN
chd-217	159	46	hodgkin	hodgkin	NOUN
chd-217	159	47	lymphoma	lymphoma	NOUN
chd-217	159	48	survivors	survivor	NOUN
chd-217	159	49	.	.	PUNCT
chd-217	160	1	cancer	cancer	NOUN
chd-217	160	2	epidemiology	epidemiology	NOUN
chd-217	160	3	and	and	CCONJ
chd-217	160	4	prevention	prevention	NOUN
chd-217	160	5	biomarkers	biomarker	NOUN
chd-217	160	6	.	.	PUNCT
chd-217	161	1	2021;30(9):1717–1725	2021;30(9):1717–1725	PROPN
chd-217	161	2	.	.	NOUN
chd-217	161	3	4	4	NUM
chd-217	161	4	.	.	X
chd-217	161	5	cooper	cooper	PROPN
chd-217	161	6	rm	rm	PROPN
chd-217	161	7	,	,	PUNCT
chd-217	161	8	chung	chung	PROPN
chd-217	161	9	j	j	PROPN
chd-217	161	10	,	,	PUNCT
chd-217	161	11	hogan	hogan	PROPN
chd-217	161	12	t	t	PROPN
chd-217	161	13	,	,	PUNCT
chd-217	161	14	haque	haque	PROPN
chd-217	161	15	r.	r.	PROPN
chd-217	161	16	patterns	pattern	NOUN
chd-217	161	17	of	of	ADP
chd-217	161	18	over	over	ADP
chd-217	161	19	all	all	DET
chd-217	161	20	mortality	mortality	NOUN
chd-217	161	21	by	by	ADP
chd-217	161	22	race	race	NOUN
chd-217	161	23	/	/	SYM
chd-217	161	24	ethnicity	ethnicity	NOUN
chd-217	161	25	and	and	CCONJ
chd-217	161	26	socioeconomic	socioeconomic	ADJ
chd-217	161	27	status	status	NOUN
chd-217	161	28	in	in	ADP
chd-217	161	29	insured	insured	ADJ
chd-217	161	30	cancer	cancer	NOUN
chd-217	161	31	patients	patient	NOUN
chd-217	161	32	in	in	ADP
chd-217	161	33	southern	southern	PROPN
chd-217	161	34	california	california	PROPN
chd-217	161	35	.	.	PUNCT
chd-217	162	1	cancer	cancer	NOUN
chd-217	162	2	causes	cause	NOUN
chd-217	162	3	&	&	CCONJ
chd-217	162	4	control	control	NOUN
chd-217	162	5	.	.	PUNCT
chd-217	163	1	2021;32(6):609–616	2021;32(6):609–616	NUM
chd-217	163	2	.	.	X
chd-217	164	1	5	5	NUM
chd-217	164	2	.	.	X
chd-217	164	3	singh	singh	PROPN
chd-217	164	4	gk	gk	PROPN
chd-217	164	5	,	,	PUNCT
chd-217	164	6	jemal	jemal	ADJ
chd-217	164	7	a.	a.	PROPN
chd-217	164	8	socioeconomic	socioeconomic	ADJ
chd-217	164	9	inequalities	inequality	NOUN
chd-217	164	10	in	in	ADP
chd-217	164	11	cancer	cancer	NOUN
chd-217	164	12	incidence	incidence	NOUN
chd-217	164	13	and	and	CCONJ
chd-217	164	14	mortality	mortality	NOUN
chd-217	164	15	.	.	PUNCT
chd-217	165	1	the	the	DET
chd-217	165	2	american	american	PROPN
chd-217	165	3	cancer	cancer	PROPN
chd-217	165	4	society	society	NOUN
chd-217	165	5	’s	’s	PART
chd-217	165	6	principles	principle	NOUN
chd-217	165	7	of	of	ADP
chd-217	165	8	oncology	oncology	NOUN
chd-217	165	9	:	:	PUNCT
chd-217	165	10	prevention	prevention	NOUN
chd-217	165	11	to	to	PART
chd-217	165	12	survivorship	survivorship	NOUN
chd-217	165	13	.	.	PUNCT
chd-217	166	1	hoboken	hoboken	PROPN
chd-217	166	2	:	:	PUNCT
chd-217	166	3	wiley	wiley	PROPN
chd-217	166	4	;	;	PUNCT
chd-217	166	5	2018	2018	NUM
chd-217	166	6	.	.	PUNCT
chd-217	167	1	6	6	NUM
chd-217	167	2	.	.	X
chd-217	167	3	tweed	tweed	PROPN
chd-217	167	4	ej	ej	PROPN
chd-217	167	5	,	,	PUNCT
chd-217	167	6	allardice	allardice	NOUN
chd-217	167	7	gm	gm	PROPN
chd-217	167	8	,	,	PUNCT
chd-217	167	9	mcloone	mcloone	PROPN
chd-217	167	10	p	p	PROPN
chd-217	167	11	,	,	PUNCT
chd-217	167	12	morrison	morrison	PROPN
chd-217	167	13	ds	ds	PROPN
chd-217	167	14	.	.	PROPN
chd-217	167	15	socioeconomic	socioeconomic	ADJ
chd-217	167	16	inequalities	inequality	NOUN
chd-217	167	17	in	in	ADP
chd-217	167	18	the	the	DET
chd-217	167	19	incidence	incidence	NOUN
chd-217	167	20	of	of	ADP
chd-217	167	21	four	four	NUM
chd-217	167	22	common	common	ADJ
chd-217	167	23	cancers	cancer	NOUN
chd-217	167	24	:	:	PUNCT
chd-217	167	25	a	a	DET
chd-217	167	26	population	population	NOUN
chd-217	167	27	-	-	PUNCT
chd-217	167	28	based	base	VERB
chd-217	167	29	registry	registry	NOUN
chd-217	167	30	study	study	NOUN
chd-217	167	31	.	.	PUNCT
chd-217	168	1	public	public	ADJ
chd-217	168	2	health	health	NOUN
chd-217	168	3	.	.	PUNCT
chd-217	169	1	2018;154:1	2018;154:1	NUM
chd-217	169	2	–	–	PUNCT
chd-217	169	3	10	10	NUM
chd-217	169	4	.	.	X
chd-217	169	5	7	7	X
chd-217	169	6	.	.	X
chd-217	169	7	castro	castro	PROPN
chd-217	169	8	s	s	PROPN
chd-217	169	9	,	,	PUNCT
chd-217	169	10	sosa	sosa	PROPN
chd-217	169	11	e	e	PROPN
chd-217	169	12	,	,	PUNCT
chd-217	169	13	lozano	lozano	PROPN
chd-217	169	14	v	v	PROPN
chd-217	169	15	,	,	PUNCT
chd-217	169	16	akhtar	akhtar	PROPN
chd-217	169	17	a	a	PRON
chd-217	169	18	,	,	PUNCT
chd-217	169	19	love	love	NOUN
chd-217	169	20	k	k	PROPN
chd-217	169	21	,	,	PUNCT
chd-217	169	22	duffels	duffels	PROPN
chd-217	169	23	j	j	PROPN
chd-217	169	24	,	,	PUNCT
chd-217	169	25	et	et	PROPN
chd-217	169	26	al	al	PROPN
chd-217	169	27	.	.	PUNCT
chd-217	170	1	the	the	DET
chd-217	170	2	impact	impact	NOUN
chd-217	170	3	of	of	ADP
chd-217	170	4	income	income	NOUN
chd-217	170	5	and	and	CCONJ
chd-217	170	6	education	education	NOUN
chd-217	170	7	on	on	ADP
chd-217	170	8	lung	lung	NOUN
chd-217	170	9	cancer	cancer	NOUN
chd-217	170	10	screening	screen	VERB
chd-217	170	11	utilization	utilization	NOUN
chd-217	170	12	,	,	PUNCT
chd-217	170	13	eligibility	eligibility	NOUN
chd-217	170	14	,	,	PUNCT
chd-217	170	15	and	and	CCONJ
chd-217	170	16	outcomes	outcome	NOUN
chd-217	170	17	:	:	PUNCT
chd-217	170	18	a	a	DET
chd-217	170	19	narrative	narrative	NOUN
chd-217	170	20	review	review	NOUN
chd-217	170	21	of	of	ADP
chd-217	170	22	socioeconomic	socioeconomic	ADJ
chd-217	170	23	disparities	disparity	NOUN
chd-217	170	24	in	in	ADP
chd-217	170	25	lung	lung	NOUN
chd-217	170	26	cancer	cancer	NOUN
chd-217	170	27	screening	screening	NOUN
chd-217	170	28	.	.	PUNCT
chd-217	171	1	journal	journal	PROPN
chd-217	171	2	of	of	ADP
chd-217	171	3	thoracic	thoracic	NOUN
chd-217	171	4	disease	disease	NOUN
chd-217	171	5	.	.	PUNCT
chd-217	172	1	2021;13(6):3745	2021;13(6):3745	NUM
chd-217	172	2	–	–	PUNCT
chd-217	172	3	3745	3745	NUM
chd-217	172	4	.	.	PUNCT
chd-217	173	1	8	8	NUM
chd-217	173	2	.	.	X
chd-217	173	3	nejatinamini	nejatinamini	PROPN
chd-217	173	4	s	s	PROPN
chd-217	173	5	,	,	PUNCT
chd-217	173	6	godley	godley	PROPN
chd-217	173	7	j	j	PROPN
chd-217	173	8	,	,	PUNCT
chd-217	173	9	minaker	minaker	PROPN
chd-217	173	10	lm	lm	PROPN
chd-217	173	11	,	,	PUNCT
chd-217	173	12	sajobi	sajobi	NOUN
chd-217	173	13	tt	tt	PROPN
chd-217	173	14	,	,	PUNCT
chd-217	173	15	mc	mc	PROPN
chd-217	173	16	cormack	cormack	PROPN
chd-217	173	17	gr	gr	PROPN
chd-217	173	18	,	,	PUNCT
chd-217	173	19	cooke	cooke	PROPN
chd-217	173	20	mj	mj	PROPN
chd-217	173	21	,	,	PUNCT
chd-217	173	22	et	et	PROPN
chd-217	173	23	al	al	PROPN
chd-217	173	24	.	.	PUNCT
chd-217	174	1	quantifying	quantify	VERB
chd-217	174	2	the	the	DET
chd-217	174	3	contribution	contribution	NOUN
chd-217	174	4	of	of	ADP
chd-217	174	5	modifiable	modifiable	ADJ
chd-217	174	6	risk	risk	NOUN
chd-217	174	7	factors	factor	NOUN
chd-217	174	8	to	to	ADP
chd-217	174	9	socioeconomic	socioeconomic	ADJ
chd-217	174	10	inequities	inequity	NOUN
chd-217	174	11	in	in	ADP
chd-217	174	12	cancer	cancer	NOUN
chd-217	174	13	morbidity	morbidity	NOUN
chd-217	174	14	and	and	CCONJ
chd-217	174	15	mortality	mortality	NOUN
chd-217	174	16	:	:	PUNCT
chd-217	174	17	a	a	DET
chd-217	174	18	nationally	nationally	ADV
chd-217	174	19	representative	representative	ADJ
chd-217	174	20	population	population	NOUN
chd-217	174	21	-	-	PUNCT
chd-217	174	22	based	base	VERB
chd-217	174	23	cohort	cohort	NOUN
chd-217	174	24	study	study	NOUN
chd-217	174	25	.	.	PUNCT
chd-217	175	1	international	international	ADJ
chd-217	175	2	journal	journal	NOUN
chd-217	175	3	of	of	ADP
chd-217	175	4	epidemiology	epidemiology	NOUN
chd-217	175	5	.	.	PUNCT
chd-217	176	1	2021;50(5):1498–1511	2021;50(5):1498–1511	NUM
chd-217	176	2	.	.	PUNCT
chd-217	177	1	9	9	X
chd-217	177	2	.	.	X
chd-217	177	3	minas	minas	PROPN
chd-217	177	4	tz	tz	PROPN
chd-217	177	5	,	,	PUNCT
chd-217	177	6	kiely	kiely	PROPN
chd-217	177	7	m	m	PROPN
chd-217	177	8	,	,	PUNCT
chd-217	177	9	ajao	ajao	PROPN
chd-217	177	10	a	a	NOUN
chd-217	177	11	,	,	PUNCT
chd-217	177	12	ambs	ambs	PROPN
chd-217	177	13	s.	s.	PROPN
chd-217	177	14	an	an	DET
chd-217	177	15	overview	overview	NOUN
chd-217	177	16	of	of	ADP
chd-217	177	17	cancer	cancer	NOUN
chd-217	177	18	health	health	NOUN
chd-217	177	19	disparities	disparity	NOUN
chd-217	177	20	:	:	PUNCT
chd-217	177	21	new	new	ADJ
chd-217	177	22	approaches	approach	NOUN
chd-217	177	23	and	and	CCONJ
chd-217	177	24	insights	insight	NOUN
chd-217	177	25	and	and	CCONJ
chd-217	177	26	why	why	SCONJ
chd-217	177	27	they	they	PRON
chd-217	177	28	matter	matter	VERB
chd-217	177	29	.	.	PUNCT
chd-217	178	1	carcinogenesis	carcinogenesis	NOUN
chd-217	178	2	.	.	PUNCT
chd-217	179	1	2021;42(1):2–13	2021;42(1):2–13	X
chd-217	179	2	.	.	PROPN
chd-217	179	3	10	10	NUM
chd-217	179	4	.	.	PUNCT
chd-217	179	5	gillmann	gillmann	PROPN
chd-217	179	6	c	c	PROPN
chd-217	179	7	,	,	PUNCT
chd-217	179	8	pajor	pajor	NOUN
chd-217	179	9	g	g	PROPN
chd-217	179	10	,	,	PUNCT
chd-217	179	11	ramadori	ramadori	NOUN
chd-217	179	12	p	p	X
chd-217	179	13	,	,	PUNCT
chd-217	179	14	albers	albers	PROPN
chd-217	179	15	p	p	NOUN
chd-217	179	16	,	,	PUNCT
chd-217	179	17	mons	mon	NOUN
chd-217	179	18	u	u	NOUN
chd-217	179	19	,	,	PUNCT
chd-217	179	20	stein	stein	PROPN
chd-217	179	21	dorf	dorf	PROPN
chd-217	179	22	k	k	PROPN
chd-217	179	23	,	,	PUNCT
chd-217	179	24	et	et	PROPN
chd-217	179	25	al	al	PROPN
chd-217	179	26	.	.	PUNCT
chd-217	180	1	solving	solve	VERB
chd-217	180	2	problems	problem	NOUN
chd-217	180	3	is	be	AUX
chd-217	180	4	smart	smart	ADJ
chd-217	180	5	,	,	PUNCT
chd-217	180	6	preventing	prevent	VERB
chd-217	180	7	them	they	PRON
chd-217	180	8	is	be	AUX
chd-217	180	9	wise	wise	ADJ
chd-217	180	10	:	:	PUNCT
chd-217	180	11	lessons	lesson	NOUN
chd-217	180	12	learned	learn	VERB
chd-217	180	13	from	from	ADP
chd-217	180	14	the	the	DET
chd-217	180	15	2nd	2nd	ADJ
chd-217	180	16	international	international	ADJ
chd-217	180	17	dkfz	dkfz	PROPN
chd-217	180	18	conference	conference	NOUN
chd-217	180	19	on	on	ADP
chd-217	180	20	cancer	cancer	NOUN
chd-217	180	21	prevention	prevention	NOUN
chd-217	180	22	.	.	PUNCT
chd-217	181	1	international	international	ADJ
chd-217	181	2	journal	journal	PROPN
chd-217	181	3	of	of	ADP
chd-217	181	4	cancer	cancer	NOUN
chd-217	181	5	.	.	PUNCT
chd-217	182	1	2021;148(12):3086–3096	2021;148(12):3086–3096	NUM
chd-217	182	2	.	.	PUNCT
chd-217	183	1	11	11	NUM
chd-217	183	2	.	.	PUNCT
chd-217	184	1	hamdi	hamdi	PROPN
chd-217	184	2	y	y	PROPN
chd-217	184	3	,	,	PUNCT
chd-217	184	4	abdeljaoued	abdeljaoue	VERB
chd-217	184	5	-	-	PUNCT
chd-217	184	6	tej	tej	NOUN
chd-217	184	7	i	i	PROPN
chd-217	184	8	,	,	PUNCT
chd-217	184	9	zatchi	zatchi	PROPN
chd-217	184	10	aa	aa	PROPN
chd-217	184	11	,	,	PUNCT
chd-217	184	12	abdelhak	abdelhak	PROPN
chd-217	184	13	s	s	PROPN
chd-217	184	14	,	,	PUNCT
chd-217	184	15	boubaker	boubaker	PROPN
chd-217	184	16	s	s	PROPN
chd-217	184	17	,	,	PUNCT
chd-217	184	18	brown	brown	ADJ
chd-217	184	19	js	js	PROPN
chd-217	184	20	,	,	PUNCT
chd-217	184	21	et	et	PROPN
chd-217	184	22	al	al	PROPN
chd-217	184	23	.	.	PUNCT
chd-217	184	24	cancer	cancer	PROPN
chd-217	184	25	in	in	ADP
chd-217	184	26	africa	africa	PROPN
chd-217	184	27	:	:	PUNCT
chd-217	184	28	the	the	DET
chd-217	184	29	untold	untold	ADJ
chd-217	184	30	story	story	NOUN
chd-217	184	31	.	.	PUNCT
chd-217	185	1	frontiers	frontier	NOUN
chd-217	185	2	in	in	ADP
chd-217	185	3	oncology	oncology	NOUN
chd-217	185	4	.	.	PUNCT
chd-217	185	5	2021	2021	NUM
chd-217	185	6	;	;	PUNCT
chd-217	185	7	p.	p.	NOUN
chd-217	185	8	11–11	11–11	NUM
chd-217	185	9	.	.	PUNCT
chd-217	186	1	12	12	NUM
chd-217	186	2	.	.	PUNCT
chd-217	187	1	seraphin	seraphin	PROPN
chd-217	187	2	tp	tp	PROPN
chd-217	187	3	,	,	PUNCT
chd-217	187	4	joko	joko	PROPN
chd-217	187	5	-	-	PUNCT
chd-217	187	6	fru	fru	PROPN
chd-217	187	7	wy	wy	PROPN
chd-217	187	8	,	,	PUNCT
chd-217	187	9	kamaté	kamaté	PROPN
chd-217	187	10	b	b	PROPN
chd-217	187	11	,	,	PUNCT
chd-217	187	12	chokunonga	chokunonga	PROPN
chd-217	187	13	e	e	NOUN
chd-217	187	14	,	,	PUNCT
chd-217	187	15	wabinga	wabinga	NOUN
chd-217	187	16	h	h	NOUN
chd-217	187	17	,	,	PUNCT
chd-217	187	18	somdyala	somdyala	PROPN
chd-217	187	19	nim	nim	PROPN
chd-217	187	20	,	,	PUNCT
chd-217	187	21	et	et	PROPN
chd-217	187	22	al	al	PROPN
chd-217	187	23	.	.	PUNCT
chd-217	188	1	rising	rise	VERB
chd-217	188	2	prostate	prostate	NOUN
chd-217	188	3	cancer	cancer	NOUN
chd-217	188	4	incidence	incidence	NOUN
chd-217	188	5	in	in	ADP
chd-217	188	6	sub	sub	ADJ
chd-217	188	7	-	-	ADJ
chd-217	188	8	saharan	saharan	ADJ
chd-217	188	9	africa	africa	PROPN
chd-217	188	10	:	:	PUNCT
chd-217	188	11	a	a	DET
chd-217	188	12	trend	trend	NOUN
chd-217	188	13	analysis	analysis	NOUN
chd-217	188	14	of	of	ADP
chd-217	188	15	data	datum	NOUN
chd-217	188	16	from	from	ADP
chd-217	188	17	the	the	DET
chd-217	188	18	african	african	ADJ
chd-217	188	19	cancer	cancer	NOUN
chd-217	188	20	registry	registry	NOUN
chd-217	188	21	network	network	NOUN
chd-217	188	22	.	.	PUNCT
chd-217	189	1	cancer	cancer	NOUN
chd-217	189	2	epidemiology	epidemiology	NOUN
chd-217	189	3	and	and	CCONJ
chd-217	189	4	prevention	prevention	NOUN
chd-217	189	5	biomarkers	biomarker	NOUN
chd-217	189	6	.	.	PUNCT
chd-217	190	1	2021;30(1):158	2021;30(1):158	NUM
chd-217	190	2	–	–	PUNCT
chd-217	190	3	165	165	NUM
chd-217	190	4	.	.	PUNCT
chd-217	191	1	www.companyofscientists.com/index.php/chd	www.companyofscientists.com/index.php/chd	AUX
chd-217	191	2	e12	e12	NOUN
chd-217	191	3	cancer	cancer	NOUN
chd-217	191	4	health	health	NOUN
chd-217	191	5	disparities	disparity	NOUN
chd-217	191	6	research	research	VERB
chd-217	191	7	13	13	NUM
chd-217	191	8	.	.	PUNCT
chd-217	192	1	bassette	bassette	PROPN
chd-217	192	2	,	,	PUNCT
chd-217	192	3	emma	emma	PROPN
chd-217	192	4	,	,	PUNCT
chd-217	192	5	et	et	PROPN
chd-217	192	6	al	al	PROPN
chd-217	192	7	.	.	PUNCT
chd-217	193	1	"	"	PUNCT
chd-217	193	2	perceptions	perception	NOUN
chd-217	193	3	of	of	ADP
chd-217	193	4	cervical	cervical	ADJ
chd-217	193	5	cancer	cancer	NOUN
chd-217	193	6	screening	screening	NOUN
chd-217	193	7	in	in	ADP
chd-217	193	8	rural	rural	ADJ
chd-217	193	9	guatemala	guatemala	NOUN
chd-217	193	10	.	.	PUNCT
chd-217	193	11	"	"	PUNCT
chd-217	194	1	hispanic	hispanic	ADJ
chd-217	194	2	health	health	PROPN
chd-217	194	3	international	international	PROPN
chd-217	194	4	20.2(2022	20.2(2022	NUM
chd-217	194	5	):	):	PUNCT
chd-217	194	6	156	156	NUM
chd-217	194	7	-	-	SYM
chd-217	194	8	163	163	NUM
chd-217	194	9	.	.	PUNCT
chd-217	194	10	14	14	NUM
chd-217	194	11	.	.	PUNCT
chd-217	195	1	collatuzzo	collatuzzo	PROPN
chd-217	195	2	g	g	PROPN
chd-217	195	3	,	,	PUNCT
chd-217	195	4	pelucchi	pelucchi	PROPN
chd-217	195	5	c	c	NOUN
chd-217	195	6	,	,	PUNCT
chd-217	195	7	negri	negri	PROPN
chd-217	195	8	e	e	NOUN
chd-217	195	9	,	,	PUNCT
chd-217	195	10	lópez	lópez	PROPN
chd-217	195	11	-	-	PUNCT
chd-217	195	12	carrillo	carrillo	PROPN
chd-217	195	13	l	l	PROPN
chd-217	195	14	,	,	PUNCT
chd-217	195	15	tsugane	tsugane	NOUN
chd-217	195	16	s	s	PART
chd-217	195	17	,	,	PUNCT
chd-217	195	18	hidaka	hidaka	ADJ
chd-217	195	19	a	a	X
chd-217	195	20	,	,	PUNCT
chd-217	195	21	et	et	PROPN
chd-217	195	22	al	al	PROPN
chd-217	195	23	.	.	PUNCT
chd-217	196	1	exploring	explore	VERB
chd-217	196	2	the	the	DET
chd-217	196	3	interactions	interaction	NOUN
chd-217	196	4	be	be	AUX
chd-217	196	5	tween	tween	NOUN
chd-217	196	6	helicobacter	helicobacter	NOUN
chd-217	196	7	pylori	pylori	NOUN
chd-217	196	8	(	(	PUNCT
chd-217	196	9	hp	hp	NOUN
chd-217	196	10	)	)	PUNCT
chd-217	196	11	infection	infection	NOUN
chd-217	196	12	and	and	CCONJ
chd-217	196	13	other	other	ADJ
chd-217	196	14	risk	risk	NOUN
chd-217	196	15	fac	fac	PROPN
chd-217	196	16	tors	tor	NOUN
chd-217	196	17	of	of	ADP
chd-217	196	18	gastric	gastric	ADJ
chd-217	196	19	cancer	cancer	NOUN
chd-217	196	20	:	:	PUNCT
chd-217	196	21	a	a	DET
chd-217	196	22	pooled	pool	VERB
chd-217	196	23	analysis	analysis	NOUN
chd-217	196	24	in	in	ADP
chd-217	196	25	the	the	DET
chd-217	196	26	stomach	stomach	NOUN
chd-217	196	27	cancer	cancer	NOUN
chd-217	196	28	pooling	pooling	NOUN
chd-217	196	29	(	(	PUNCT
chd-217	196	30	stop	stop	VERB
chd-217	196	31	)	)	PUNCT
chd-217	196	32	project	project	NOUN
chd-217	196	33	.	.	PUNCT
chd-217	197	1	international	international	ADJ
chd-217	197	2	journal	journal	PROPN
chd-217	197	3	of	of	ADP
chd-217	197	4	cancer	cancer	NOUN
chd-217	197	5	.	.	PUNCT
chd-217	198	1	2021;149(6):1228–1238	2021;149(6):1228–1238	NUM
chd-217	198	2	.	.	NOUN
chd-217	198	3	15	15	NUM
chd-217	198	4	.	.	PUNCT
chd-217	199	1	lee	lee	PROPN
chd-217	199	2	,	,	PUNCT
chd-217	199	3	dong	dong	PROPN
chd-217	199	4	-	-	PUNCT
chd-217	199	5	hae	hae	PROPN
chd-217	199	6	,	,	PUNCT
chd-217	199	7	jong	jong	PROPN
chd-217	199	8	-	-	PUNCT
chd-217	199	9	hun	hun	PROPN
chd-217	199	10	ha	ha	INTJ
chd-217	199	11	,	,	PUNCT
chd-217	199	12	jeong	jeong	PROPN
chd-217	199	13	-	-	PUNCT
chd-217	199	14	ih	ih	PROPN
chd-217	199	15	shin	shin	PROPN
chd-217	199	16	,	,	PUNCT
chd-217	199	17	kyu	kyu	PROPN
chd-217	199	18	-	-	PUNCT
chd-217	199	19	min	min	PROPN
chd-217	199	20	kim	kim	PROPN
chd-217	199	21	,	,	PUNCT
chd-217	199	22	jeong	jeong	PROPN
chd-217	199	23	-	-	PUNCT
chd-217	199	24	gyu	gyu	PROPN
chd-217	199	25	choi	choi	NOUN
chd-217	199	26	,	,	PUNCT
chd-217	199	27	seorin	seorin	NOUN
chd-217	199	28	park	park	NOUN
chd-217	199	29	,	,	PUNCT
chd-217	199	30	jin	jin	NOUN
chd-217	199	31	-	-	PUNCT
chd-217	199	32	sik	sik	NOUN
chd-217	199	33	park	park	PROPN
chd-217	199	34	et	et	PROPN
chd-217	199	35	al	al	PROPN
chd-217	199	36	.	.	PROPN
chd-217	199	37	"increased	"increase	VERB
chd-217	199	38	risk	risk	NOUN
chd-217	199	39	of	of	ADP
chd-217	199	40	severe	severe	ADJ
chd-217	199	41	gastric	gastric	ADJ
chd-217	199	42	symptoms	symptom	NOUN
chd-217	199	43	by	by	ADP
chd-217	199	44	virulence	virulence	NOUN
chd-217	199	45	factors	factor	NOUN
chd-217	199	46	vacaslc	vacaslc	NOUN
chd-217	199	47	,	,	PUNCT
chd-217	199	48	alpa	alpa	PROPN
chd-217	199	49	,	,	PUNCT
chd-217	199	50	baba2	baba2	PROPN
chd-217	199	51	,	,	PUNCT
chd-217	199	52	and	and	CCONJ
chd-217	199	53	hopz	hopz	VERB
chd-217	199	54	in	in	ADP
chd-217	199	55	helicobacter	helicobacter	NOUN
chd-217	199	56	pylori	pylori	ADJ
chd-217	199	57	infection	infection	NOUN
chd-217	199	58	.	.	PUNCT
chd-217	200	1	"(2021):368	"(2021):368	PROPN
chd-217	200	2	-	-	PUNCT
chd-217	200	3	379	379	NUM
chd-217	200	4	.	.	PUNCT
chd-217	201	1	16	16	NUM
chd-217	201	2	.	.	PUNCT
chd-217	202	1	huang	huang	PROPN
chd-217	202	2	j	j	PROPN
chd-217	202	3	,	,	PUNCT
chd-217	202	4	koulaouzidis	koulaouzidis	PROPN
chd-217	202	5	a	a	NOUN
chd-217	202	6	,	,	PUNCT
chd-217	202	7	marlicz	marlicz	PROPN
chd-217	202	8	w	w	PROPN
chd-217	202	9	,	,	PUNCT
chd-217	202	10	lok	lok	PROPN
chd-217	202	11	v	v	PROPN
chd-217	202	12	,	,	PUNCT
chd-217	202	13	chu	chu	PROPN
chd-217	202	14	c	c	PROPN
chd-217	202	15	,	,	PUNCT
chd-217	202	16	ngai	ngai	PROPN
chd-217	202	17	ch	ch	PROPN
chd-217	202	18	,	,	PUNCT
chd-217	202	19	et	et	PROPN
chd-217	202	20	al	al	PROPN
chd-217	202	21	.	.	PUNCT
chd-217	202	22	global	global	ADJ
chd-217	202	23	burden	burden	NOUN
chd-217	202	24	,	,	PUNCT
chd-217	202	25	risk	risk	NOUN
chd-217	202	26	factors	factor	NOUN
chd-217	202	27	,	,	PUNCT
chd-217	202	28	and	and	CCONJ
chd-217	202	29	trends	trend	NOUN
chd-217	202	30	of	of	ADP
chd-217	202	31	esophageal	esophageal	ADJ
chd-217	202	32	cancer	cancer	NOUN
chd-217	202	33	:	:	PUNCT
chd-217	202	34	an	an	DET
chd-217	202	35	analysis	analysis	NOUN
chd-217	202	36	of	of	ADP
chd-217	202	37	cancer	cancer	NOUN
chd-217	202	38	registries	registry	NOUN
chd-217	202	39	from	from	ADP
chd-217	202	40	48	48	NUM
chd-217	202	41	countries	country	NOUN
chd-217	202	42	.	.	PUNCT
chd-217	203	1	cancers	cancer	NOUN
chd-217	203	2	.	.	PUNCT
chd-217	204	1	2021;13(1):141–141	2021;13(1):141–141	X
chd-217	204	2	.	.	NOUN
chd-217	204	3	17	17	NUM
chd-217	204	4	.	.	PUNCT
chd-217	204	5	rumgay	rumgay	PROPN
chd-217	204	6	h	h	PROPN
chd-217	204	7	,	,	PUNCT
chd-217	204	8	ferlay	ferlay	PROPN
chd-217	204	9	j	j	PROPN
chd-217	204	10	,	,	PUNCT
chd-217	204	11	martel	martel	PROPN
chd-217	204	12	cd	cd	PROPN
chd-217	204	13	,	,	PUNCT
chd-217	204	14	georges	georges	PROPN
chd-217	204	15	d	d	PROPN
chd-217	204	16	,	,	PUNCT
chd-217	204	17	ibrahim	ibrahim	PROPN
chd-217	204	18	as	as	ADP
chd-217	204	19	,	,	PUNCT
chd-217	204	20	zheng	zheng	PROPN
chd-217	204	21	r	r	PROPN
chd-217	204	22	,	,	PUNCT
chd-217	204	23	et	et	PROPN
chd-217	204	24	al	al	PROPN
chd-217	204	25	.	.	PUNCT
chd-217	205	1	global	global	ADJ
chd-217	205	2	,	,	PUNCT
chd-217	205	3	regional	regional	ADJ
chd-217	205	4	and	and	CCONJ
chd-217	205	5	national	national	ADJ
chd-217	205	6	burden	burden	NOUN
chd-217	205	7	of	of	ADP
chd-217	205	8	primary	primary	ADJ
chd-217	205	9	liver	liver	NOUN
chd-217	205	10	cancer	cancer	NOUN
chd-217	205	11	by	by	ADP
chd-217	205	12	subtype	subtype	NOUN
chd-217	205	13	.	.	PUNCT
chd-217	206	1	european	european	ADJ
chd-217	206	2	journal	journal	PROPN
chd-217	206	3	of	of	ADP
chd-217	206	4	cancer	cancer	NOUN
chd-217	206	5	.	.	PUNCT
chd-217	207	1	2022	2022	NUM
chd-217	207	2	;	;	PUNCT
chd-217	207	3	161:108–118	161:108–118	NUM
chd-217	207	4	.	.	PUNCT
chd-217	208	1	18	18	NUM
chd-217	208	2	.	.	PUNCT
chd-217	209	1	he	he	PRON
chd-217	209	2	wq	wq	VERB
chd-217	209	3	,	,	PUNCT
chd-217	209	4	gao	gao	PROPN
chd-217	209	5	x	x	PROPN
chd-217	209	6	,	,	PUNCT
chd-217	209	7	gao	gao	PROPN
chd-217	209	8	l	l	PROPN
chd-217	209	9	,	,	PUNCT
chd-217	209	10	ma	ma	PROPN
chd-217	209	11	y	y	PROPN
chd-217	209	12	,	,	PUNCT
chd-217	209	13	sun	sun	PROPN
chd-217	209	14	d	d	PROPN
chd-217	209	15	,	,	PUNCT
chd-217	209	16	sun	sun	PROPN
chd-217	209	17	j.	j.	PROPN
chd-217	209	18	contrasting	contrast	VERB
chd-217	209	19	trends	trend	NOUN
chd-217	209	20	of	of	ADP
chd-217	209	21	primary	primary	ADJ
chd-217	209	22	liver	liver	NOUN
chd-217	209	23	cancer	cancer	NOUN
chd-217	209	24	mortality	mortality	NOUN
chd-217	209	25	in	in	ADP
chd-217	209	26	chinese	chinese	ADJ
chd-217	209	27	mongol	mongol	PROPN
chd-217	209	28	and	and	CCONJ
chd-217	209	29	non	non	ADJ
chd-217	209	30	-	-	NOUN
chd-217	209	31	mongol	mongol	NOUN
chd-217	209	32	.	.	PUNCT
chd-217	210	1	asian	asian	PROPN
chd-217	210	2	pacific	pacific	PROPN
chd-217	210	3	journal	journal	PROPN
chd-217	210	4	of	of	ADP
chd-217	210	5	cancer	cancer	NOUN
chd-217	210	6	prevention	prevention	NOUN
chd-217	210	7	.	.	PUNCT
chd-217	211	1	2021;22(9):2757–2763	2021;22(9):2757–2763	NUM
chd-217	211	2	.	.	PUNCT
chd-217	212	1	19	19	NUM
chd-217	212	2	.	.	X
chd-217	212	3	spearman	spearman	PROPN
chd-217	212	4	cw	cw	PROPN
chd-217	212	5	,	,	PUNCT
chd-217	212	6	desalegn	desalegn	PROPN
chd-217	212	7	h	h	NOUN
chd-217	212	8	,	,	PUNCT
chd-217	212	9	ocama	ocama	NOUN
chd-217	212	10	p	p	NOUN
chd-217	212	11	,	,	PUNCT
chd-217	212	12	awuku	awuku	PROPN
chd-217	212	13	ya	ya	PROPN
chd-217	212	14	,	,	PUNCT
chd-217	212	15	ojo	ojo	PROPN
chd-217	212	16	o	o	NOUN
chd-217	212	17	,	,	PUNCT
chd-217	212	18	elsahhar	elsahhar	PROPN
chd-217	212	19	m	m	PROPN
chd-217	212	20	,	,	PUNCT
chd-217	212	21	et	et	PROPN
chd-217	212	22	al	al	PROPN
chd-217	212	23	.	.	PUNCT
chd-217	213	1	the	the	DET
chd-217	213	2	sub	sub	ADJ
chd-217	213	3	-	-	ADJ
chd-217	213	4	saharan	saharan	ADJ
chd-217	213	5	africa	africa	PROPN
chd-217	213	6	position	position	NOUN
chd-217	213	7	statement	statement	NOUN
chd-217	213	8	on	on	ADP
chd-217	213	9	the	the	DET
chd-217	213	10	redefinition	redefinition	NOUN
chd-217	213	11	of	of	ADP
chd-217	213	12	fatty	fatty	ADJ
chd-217	213	13	liver	liver	NOUN
chd-217	213	14	disease	disease	NOUN
chd-217	213	15	:	:	PUNCT
chd-217	213	16	from	from	ADP
chd-217	213	17	nafld	nafld	ADV
chd-217	213	18	to	to	ADP
chd-217	213	19	mafld	mafld	NOUN
chd-217	213	20	.	.	PUNCT
chd-217	214	1	journal	journal	PROPN
chd-217	214	2	of	of	ADP
chd-217	214	3	hepatology	hepatology	NOUN
chd-217	214	4	.	.	PUNCT
chd-217	215	1	2021;74(5):1256–1258	2021;74(5):1256–1258	NUM
chd-217	215	2	.	.	PUNCT
chd-217	216	1	20	20	NUM
chd-217	216	2	.	.	PUNCT
chd-217	217	1	oneata	oneata	PROPN
chd-217	217	2	d.	d.	PROPN
chd-217	217	3	probabilistic	probabilistic	PROPN
chd-217	217	4	latent	latent	ADJ
chd-217	217	5	semantic	semantic	ADJ
chd-217	217	6	analysis	analysis	NOUN
chd-217	217	7	.	.	PUNCT
chd-217	218	1	proceedings	proceeding	NOUN
chd-217	218	2	of	of	ADP
chd-217	218	3	the	the	DET
chd-217	218	4	fifteenth	fifteenth	ADJ
chd-217	218	5	conference	conference	NOUN
chd-217	218	6	on	on	ADP
chd-217	218	7	uncertainty	uncertainty	NOUN
chd-217	218	8	.	.	PUNCT
chd-217	218	9	1999	1999	NUM
chd-217	218	10	;	;	PUNCT
chd-217	218	11	p.	p.	NOUN
chd-217	218	12	1–7	1–7	NUM
chd-217	218	13	.	.	PROPN
chd-217	218	14	21	21	NUM
chd-217	218	15	.	.	PUNCT
chd-217	219	1	blei	blei	NOUN
chd-217	219	2	dm	dm	PROPN
chd-217	219	3	,	,	PUNCT
chd-217	219	4	ng	ng	PROPN
chd-217	219	5	ay	ay	PROPN
chd-217	219	6	,	,	PUNCT
chd-217	219	7	jordan	jordan	PROPN
chd-217	219	8	mi	mi	PROPN
chd-217	219	9	.	.	PROPN
chd-217	219	10	latent	latent	PROPN
chd-217	219	11	dirichlet	dirichlet	PROPN
chd-217	219	12	allocation	allocation	NOUN
chd-217	219	13	.	.	PUNCT
chd-217	220	1	the	the	DET
chd-217	220	2	journal	journal	NOUN
chd-217	220	3	of	of	ADP
chd-217	220	4	machine	machine	NOUN
chd-217	220	5	learning	learn	VERB
chd-217	220	6	research	research	NOUN
chd-217	220	7	.	.	PUNCT
chd-217	221	1	2003;3:993–1022	2003;3:993–1022	NOUN
chd-217	221	2	.	.	PUNCT
chd-217	222	1	22	22	NUM
chd-217	222	2	.	.	PUNCT
chd-217	223	1	grootendorst	grootendorst	PROPN
chd-217	223	2	m	m	NOUN
chd-217	223	3	;	;	PUNCT
chd-217	223	4	2020	2020	NUM
chd-217	223	5	.	.	PUNCT
chd-217	224	1	available	available	ADJ
chd-217	224	2	from	from	ADP
chd-217	224	3	:	:	PUNCT
chd-217	224	4	https://doi.org/10	https://doi.org/10	PROPN
chd-217	224	5	.	.	PUNCT
chd-217	225	1	5281	5281	NUM
chd-217	225	2	/	/	SYM
chd-217	225	3	zenodo	zenodo	NOUN
chd-217	225	4	.	.	PUNCT
chd-217	226	1	23	23	NUM
chd-217	226	2	.	.	PUNCT
chd-217	227	1	meehan	meehan	PROPN
chd-217	227	2	c	c	PROPN
chd-217	227	3	,	,	PUNCT
chd-217	227	4	meehan	meehan	PROPN
chd-217	227	5	s	s	PROPN
chd-217	227	6	,	,	PUNCT
chd-217	227	7	moore	moore	PROPN
chd-217	227	8	w	w	PROPN
chd-217	227	9	;	;	PUNCT
chd-217	227	10	2020	2020	NUM
chd-217	227	11	.	.	PUNCT
chd-217	228	1	available	available	ADJ
chd-217	228	2	from	from	ADP
chd-217	228	3	:	:	PUNCT
chd-217	228	4	https://www.mathworks.com/matlabcentral/fileexchang	https://www.mathworks.com/matlabcentral/fileexchang	PROPN
chd-217	228	5	e/71902	e/71902	PROPN
chd-217	228	6	.	.	PUNCT
chd-217	229	1	24	24	NUM
chd-217	229	2	.	.	X
chd-217	229	3	ali	ali	PROPN
chd-217	229	4	,	,	PUNCT
chd-217	229	5	moez	moez	NOUN
chd-217	229	6	.	.	PUNCT
chd-217	230	1	"pycaret	"pycaret	PUNCT
chd-217	230	2	:	:	PUNCT
chd-217	230	3	an	an	DET
chd-217	230	4	open	open	ADJ
chd-217	230	5	source	source	NOUN
chd-217	230	6	,	,	PUNCT
chd-217	230	7	low	low	ADJ
chd-217	230	8	-	-	PUNCT
chd-217	230	9	code	code	NOUN
chd-217	230	10	machine	machine	NOUN
chd-217	230	11	learning	learn	VERB
chd-217	230	12	library	library	NOUN
chd-217	230	13	in	in	ADP
chd-217	230	14	python	python	PROPN
chd-217	230	15	.	.	PUNCT
chd-217	231	1	"pycaret	"pycaret	PROPN
chd-217	231	2	version	version	PROPN
chd-217	231	3	2(2020	2(2020	NUM
chd-217	231	4	)	)	PUNCT
chd-217	231	5	25	25	NUM
chd-217	231	6	.	.	PUNCT
chd-217	232	1	mcinnes	mcinnes	PROPN
chd-217	232	2	,	,	PUNCT
chd-217	232	3	leland	leland	PROPN
chd-217	232	4	,	,	PUNCT
chd-217	232	5	john	john	PROPN
chd-217	232	6	healy	healy	PROPN
chd-217	232	7	,	,	PUNCT
chd-217	232	8	and	and	CCONJ
chd-217	232	9	james	james	PROPN
chd-217	232	10	melville	melville	PROPN
chd-217	232	11	.	.	PUNCT
chd-217	233	1	"umap	"umap	NOUN
chd-217	233	2	:	:	PUNCT
chd-217	233	3	uniform	uniform	ADJ
chd-217	233	4	manifod	manifod	NOUN
chd-217	233	5	approximation	approximation	NOUN
chd-217	233	6	and	and	CCONJ
chd-217	233	7	projection	projection	NOUN
chd-217	233	8	for	for	ADP
chd-217	233	9	dimension	dimension	NOUN
chd-217	233	10	reduction	reduction	NOUN
chd-217	233	11	.	.	PUNCT
chd-217	233	12	"	"	PUNCT
chd-217	234	1	arxiv	arxiv	PROPN
chd-217	234	2	preprint	preprint	NOUN
chd-217	234	3	arxiv:1802.03426(2018	arxiv:1802.03426(2018	NOUN
chd-217	234	4	)	)	PUNCT
chd-217	234	5	.	.	PUNCT
chd-217	235	1	26	26	NUM
chd-217	235	2	.	.	PUNCT
chd-217	236	1	zeng	zeng	PROPN
chd-217	236	2	z	z	PROPN
chd-217	236	3	,	,	PUNCT
chd-217	236	4	hua	hua	PROPN
chd-217	236	5	b.	b.	PROPN
chd-217	236	6	uncovering	uncover	VERB
chd-217	236	7	topics	topic	NOUN
chd-217	236	8	of	of	ADP
chd-217	236	9	public	public	ADJ
chd-217	236	10	cultural	cultural	ADJ
chd-217	236	11	activities	activity	NOUN
chd-217	236	12	:	:	PUNCT
chd-217	236	13	evidence	evidence	NOUN
chd-217	236	14	from	from	ADP
chd-217	236	15	china	china	PROPN
chd-217	236	16	.	.	PUNCT
chd-217	237	1	data	datum	NOUN
chd-217	237	2	intelligence	intelligence	NOUN
chd-217	237	3	.	.	PUNCT
chd-217	238	1	2017	2017	NUM
chd-217	238	2	;	;	PUNCT
chd-217	238	3	p.	p.	PROPN
chd-217	238	4	1–19	1–19	PROPN
chd-217	238	5	.	.	PUNCT
chd-217	239	1	introduction	introduction	NOUN
chd-217	239	2	reviewed	review	VERB
chd-217	239	3	methods	method	NOUN
chd-217	239	4	topic	topic	NOUN
chd-217	239	5	modelling	modelling	NOUN
chd-217	239	6	with	with	ADP
chd-217	239	7	bertopic	bertopic	NOUN
chd-217	239	8	and	and	CCONJ
chd-217	239	9	pycaret	pycaret	ADJ
chd-217	239	10	methods	method	NOUN
chd-217	239	11	bertopic	bertopic	NOUN
chd-217	239	12	modelling	model	VERB
chd-217	239	13	experiments	experiment	NOUN
chd-217	239	14	datasets	dataset	NOUN
chd-217	239	15	evaluation	evaluation	NOUN
chd-217	239	16	metrics	metric	NOUN
chd-217	239	17	frequent	frequent	ADJ
chd-217	239	18	topics	topic	NOUN
chd-217	239	19	heatmap	heatmap	NOUN
chd-217	239	20	matrix	matrix	NOUN
chd-217	239	21	model	model	NOUN
chd-217	239	22	evaluation	evaluation	NOUN
chd-217	239	23	with	with	ADP
chd-217	239	24	pycaret	pycaret	ADJ
chd-217	239	25	coherence	coherence	NOUN
chd-217	239	26	streamlit	streamlit	NOUN
chd-217	239	27	deployment	deployment	NOUN
chd-217	239	28	conclusion	conclusion	NOUN
chd-217	239	29	future	future	ADJ
chd-217	239	30	recommendation	recommendation	NOUN
chd-217	239	31	funding	funding	NOUN
chd-217	239	32	declaration	declaration	NOUN
chd-217	239	33	of	of	ADP
chd-217	239	34	interest	interest	NOUN
chd-217	239	35	acknowledgement	acknowledgement	NOUN
chd-217	239	36	authors	author	NOUN
chd-217	239	37	’	’	PART
chd-217	239	38	contributions	contribution	NOUN