id	sid	tid	token	lemma	pos
cana-5752	1	1	communications	communication	NOUN
cana-5752	1	2	on	on	ADP
cana-5752	1	3	applied	apply	VERB
cana-5752	1	4	nonlinear	nonlinear	ADJ
cana-5752	1	5	analysis	analysis	NOUN
cana-5752	1	6	issn	issn	NOUN
cana-5752	1	7	:	:	PUNCT
cana-5752	1	8	1074	1074	NUM
cana-5752	1	9	-	-	PUNCT
cana-5752	1	10	133x	133x	NUM
cana-5752	1	11	vol	vol	NOUN
cana-5752	1	12	32	32	NUM
cana-5752	1	13	no	no	NOUN
cana-5752	1	14	.	.	PUNCT
cana-5752	2	1	3s	3s	NUM
cana-5752	2	2	(	(	PUNCT
cana-5752	2	3	2025	2025	NUM
cana-5752	2	4	)	)	PUNCT
cana-5752	2	5	759	759	NUM
cana-5752	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	2	7	a	a	DET
cana-5752	2	8	comprehensive	comprehensive	ADJ
cana-5752	2	9	ml	ml	NOUN
cana-5752	2	10	based	base	VERB
cana-5752	2	11	methodology	methodology	NOUN
cana-5752	2	12	for	for	ADP
cana-5752	2	13	early	early	ADJ
cana-5752	2	14	detection	detection	NOUN
cana-5752	2	15	and	and	CCONJ
cana-5752	2	16	classification	classification	NOUN
cana-5752	2	17	of	of	ADP
cana-5752	2	18	skin	skin	NOUN
cana-5752	2	19	cancer	cancer	NOUN
cana-5752	2	20	siddiqua	siddiqua	NOUN
cana-5752	2	21	begum1	begum1	PROPN
cana-5752	2	22	dr	dr	PROPN
cana-5752	2	23	.	.	PROPN
cana-5752	2	24	khaja	khaja	PROPN
cana-5752	3	1	mizbahuddin	mizbahuddin	VERB
cana-5752	3	2	quadry2	quadry2	PROPN
cana-5752	3	3	dr	dr	PROPN
cana-5752	3	4	.	.	PROPN
cana-5752	3	5	t.k	t.k	PROPN
cana-5752	3	6	.	.	PROPN
cana-5752	3	7	shaik	shaik	PROPN
cana-5752	3	8	shavali3	shavali3	PROPN
cana-5752	3	9	1	1	NUM
cana-5752	3	10	research	research	NOUN
cana-5752	3	11	scholar	scholar	NOUN
cana-5752	3	12	,	,	PUNCT
cana-5752	3	13	dept	dept	NOUN
cana-5752	3	14	.	.	PROPN
cana-5752	3	15	of	of	ADP
cana-5752	3	16	computer	computer	NOUN
cana-5752	3	17	science	science	NOUN
cana-5752	3	18	and	and	CCONJ
cana-5752	3	19	engineering	engineering	NOUN
cana-5752	3	20	,	,	PUNCT
cana-5752	3	21	lords	lords	PROPN
cana-5752	3	22	institute	institute	PROPN
cana-5752	3	23	of	of	ADP
cana-5752	3	24	engineering	engineering	NOUN
cana-5752	3	25	and	and	CCONJ
cana-5752	3	26	technology	technology	NOUN
cana-5752	3	27	,	,	PUNCT
cana-5752	3	28	hyderabad	hyderabad	PROPN
cana-5752	3	29	,	,	PUNCT
cana-5752	3	30	telangana	telangana	PROPN
cana-5752	3	31	2associate	2associate	NUM
cana-5752	3	32	professor	professor	NOUN
cana-5752	3	33	,	,	PUNCT
cana-5752	3	34	dept	dept	NOUN
cana-5752	3	35	.	.	PROPN
cana-5752	3	36	of	of	ADP
cana-5752	3	37	computer	computer	NOUN
cana-5752	3	38	science	science	NOUN
cana-5752	3	39	and	and	CCONJ
cana-5752	3	40	engineering	engineering	NOUN
cana-5752	3	41	,	,	PUNCT
cana-5752	3	42	lords	lords	PROPN
cana-5752	3	43	institute	institute	PROPN
cana-5752	3	44	of	of	ADP
cana-5752	3	45	engineering	engineering	NOUN
cana-5752	3	46	and	and	CCONJ
cana-5752	3	47	technology	technology	NOUN
cana-5752	3	48	,	,	PUNCT
cana-5752	3	49	hyderabad	hyderabad	PROPN
cana-5752	3	50	,	,	PUNCT
cana-5752	3	51	telangana	telangana	PROPN
cana-5752	3	52	3professor	3professor	NUM
cana-5752	3	53	,	,	PUNCT
cana-5752	3	54	dept	dept	NOUN
cana-5752	3	55	.	.	PROPN
cana-5752	3	56	of	of	ADP
cana-5752	3	57	computer	computer	NOUN
cana-5752	3	58	science	science	NOUN
cana-5752	3	59	and	and	CCONJ
cana-5752	3	60	engineering	engineering	NOUN
cana-5752	3	61	,	,	PUNCT
cana-5752	3	62	lords	lords	PROPN
cana-5752	3	63	institute	institute	PROPN
cana-5752	3	64	of	of	ADP
cana-5752	3	65	engineering	engineering	NOUN
cana-5752	3	66	and	and	CCONJ
cana-5752	3	67	technology	technology	NOUN
cana-5752	3	68	,	,	PUNCT
cana-5752	3	69	hyderabad	hyderabad	PROPN
cana-5752	3	70	,	,	PUNCT
cana-5752	3	71	telangana	telangana	PROPN
cana-5752	3	72	article	article	PROPN
cana-5752	3	73	history	history	NOUN
cana-5752	3	74	:	:	PUNCT
cana-5752	3	75	received	receive	VERB
cana-5752	3	76	:	:	PUNCT
cana-5752	3	77	12	12	NUM
cana-5752	3	78	-	-	SYM
cana-5752	3	79	01	01	NUM
cana-5752	3	80	-	-	PUNCT
cana-5752	3	81	2025	2025	NUM
cana-5752	3	82	revised	revise	VERB
cana-5752	3	83	:	:	PUNCT
cana-5752	3	84	15	15	NUM
cana-5752	3	85	-	-	NUM
cana-5752	3	86	02	02	NUM
cana-5752	3	87	-	-	PUNCT
cana-5752	3	88	2025	2025	NUM
cana-5752	3	89	accepted	accept	VERB
cana-5752	3	90	:	:	PUNCT
cana-5752	3	91	01	01	NUM
cana-5752	3	92	-	-	SYM
cana-5752	3	93	03	03	NUM
cana-5752	3	94	-	-	PUNCT
cana-5752	3	95	2025	2025	NUM
cana-5752	3	96	abstract	abstract	ADJ
cana-5752	3	97	skin	skin	NOUN
cana-5752	3	98	cancer	cancer	NOUN
cana-5752	3	99	is	be	AUX
cana-5752	3	100	one	one	NUM
cana-5752	3	101	of	of	ADP
cana-5752	3	102	the	the	DET
cana-5752	3	103	foremost	foremost	ADJ
cana-5752	3	104	unsafe	unsafe	ADJ
cana-5752	3	105	shapes	shape	NOUN
cana-5752	3	106	of	of	ADP
cana-5752	3	107	cancer	cancer	NOUN
cana-5752	3	108	.	.	PUNCT
cana-5752	4	1	skin	skin	NOUN
cana-5752	4	2	cancer	cancer	NOUN
cana-5752	4	3	is	be	AUX
cana-5752	4	4	caused	cause	VERB
cana-5752	4	5	by	by	ADP
cana-5752	4	6	unrepaired	unrepaired	ADJ
cana-5752	4	7	deoxyribonucleic	deoxyribonucleic	ADJ
cana-5752	4	8	corrosive	corrosive	NOUN
cana-5752	4	9	(	(	PUNCT
cana-5752	4	10	dna	dna	PROPN
cana-5752	4	11	)	)	PUNCT
cana-5752	4	12	in	in	ADP
cana-5752	4	13	skin	skin	NOUN
cana-5752	4	14	cells	cell	NOUN
cana-5752	4	15	,	,	PUNCT
cana-5752	4	16	which	which	PRON
cana-5752	4	17	create	create	VERB
cana-5752	4	18	hereditary	hereditary	ADJ
cana-5752	4	19	abandons	abandon	NOUN
cana-5752	4	20	or	or	CCONJ
cana-5752	4	21	changes	change	NOUN
cana-5752	4	22	on	on	ADP
cana-5752	4	23	the	the	DET
cana-5752	4	24	skin	skin	NOUN
cana-5752	4	25	.	.	PUNCT
cana-5752	5	1	skin	skin	NOUN
cana-5752	5	2	cancer	cancer	NOUN
cana-5752	5	3	tends	tend	VERB
cana-5752	5	4	to	to	PART
cana-5752	5	5	steadily	steadily	ADV
cana-5752	5	6	spread	spread	VERB
cana-5752	5	7	over	over	ADP
cana-5752	5	8	other	other	ADJ
cana-5752	5	9	body	body	NOUN
cana-5752	5	10	parts	part	NOUN
cana-5752	5	11	,	,	PUNCT
cana-5752	5	12	so	so	SCONJ
cana-5752	5	13	it	it	PRON
cana-5752	5	14	is	be	AUX
cana-5752	5	15	more	more	ADV
cana-5752	5	16	reparable	reparable	ADJ
cana-5752	5	17	in	in	ADP
cana-5752	5	18	starting	start	VERB
cana-5752	5	19	stages	stage	NOUN
cana-5752	5	20	,	,	PUNCT
cana-5752	5	21	which	which	PRON
cana-5752	5	22	is	be	AUX
cana-5752	5	23	why	why	SCONJ
cana-5752	5	24	it	it	PRON
cana-5752	5	25	is	be	AUX
cana-5752	5	26	best	well	ADV
cana-5752	5	27	recognized	recognize	VERB
cana-5752	5	28	at	at	ADP
cana-5752	5	29	early	early	ADJ
cana-5752	5	30	stages	stage	NOUN
cana-5752	5	31	.	.	PUNCT
cana-5752	6	1	the	the	DET
cana-5752	6	2	expanding	expand	VERB
cana-5752	6	3	rate	rate	NOUN
cana-5752	6	4	of	of	ADP
cana-5752	6	5	skin	skin	NOUN
cana-5752	6	6	cancer	cancer	NOUN
cana-5752	6	7	cases	case	NOUN
cana-5752	6	8	,	,	PUNCT
cana-5752	6	9	tall	tall	ADJ
cana-5752	6	10	mortality	mortality	NOUN
cana-5752	6	11	rate	rate	NOUN
cana-5752	6	12	,	,	PUNCT
cana-5752	6	13	and	and	CCONJ
cana-5752	6	14	costly	costly	ADJ
cana-5752	6	15	therapeutic	therapeutic	ADJ
cana-5752	6	16	treatment	treatment	NOUN
cana-5752	6	17	require	require	VERB
cana-5752	6	18	that	that	SCONJ
cana-5752	6	19	its	its	PRON
cana-5752	6	20	indications	indication	NOUN
cana-5752	6	21	be	be	AUX
cana-5752	6	22	analyzed	analyze	VERB
cana-5752	6	23	early	early	ADV
cana-5752	6	24	.	.	PUNCT
cana-5752	7	1	considering	consider	VERB
cana-5752	7	2	the	the	DET
cana-5752	7	3	reality	reality	NOUN
cana-5752	7	4	of	of	ADP
cana-5752	7	5	these	these	DET
cana-5752	7	6	issues	issue	NOUN
cana-5752	7	7	,	,	PUNCT
cana-5752	7	8	analysts	analyst	NOUN
cana-5752	7	9	have	have	AUX
cana-5752	7	10	created	create	VERB
cana-5752	7	11	different	different	ADJ
cana-5752	7	12	early	early	ADJ
cana-5752	7	13	discovery	discovery	NOUN
cana-5752	7	14	procedures	procedure	NOUN
cana-5752	7	15	for	for	ADP
cana-5752	7	16	skin	skin	NOUN
cana-5752	7	17	cancer	cancer	NOUN
cana-5752	7	18	.	.	PUNCT
cana-5752	8	1	injury	injury	NOUN
cana-5752	8	2	parameters	parameter	NOUN
cana-5752	8	3	such	such	ADJ
cana-5752	8	4	as	as	ADP
cana-5752	8	5	symmetry	symmetry	NOUN
cana-5752	8	6	,	,	PUNCT
cana-5752	8	7	color	color	NOUN
cana-5752	8	8	,	,	PUNCT
cana-5752	8	9	measure	measure	NOUN
cana-5752	8	10	,	,	PUNCT
cana-5752	8	11	shape	shape	NOUN
cana-5752	8	12	,	,	PUNCT
cana-5752	8	13	etc	etc	X
cana-5752	8	14	.	.	X
cana-5752	8	15	are	be	AUX
cana-5752	8	16	utilized	utilize	VERB
cana-5752	8	17	to	to	PART
cana-5752	8	18	distinguish	distinguish	VERB
cana-5752	8	19	skin	skin	NOUN
cana-5752	8	20	cancer	cancer	NOUN
cana-5752	8	21	and	and	CCONJ
cana-5752	8	22	to	to	PART
cana-5752	8	23	recognize	recognize	VERB
cana-5752	8	24	kind	kind	ADJ
cana-5752	8	25	skin	skin	NOUN
cana-5752	8	26	cancer	cancer	NOUN
cana-5752	8	27	from	from	ADP
cana-5752	8	28	melanoma	melanoma	NOUN
cana-5752	8	29	.	.	PUNCT
cana-5752	9	1	this	this	DET
cana-5752	9	2	paper	paper	NOUN
cana-5752	9	3	presents	present	VERB
cana-5752	9	4	a	a	DET
cana-5752	9	5	point	point	NOUN
cana-5752	9	6	by	by	ADP
cana-5752	9	7	point	point	NOUN
cana-5752	9	8	efficient	efficient	ADJ
cana-5752	9	9	audit	audit	NOUN
cana-5752	9	10	of	of	ADP
cana-5752	9	11	profound	profound	ADJ
cana-5752	9	12	learning	learning	NOUN
cana-5752	9	13	strategies	strategy	NOUN
cana-5752	9	14	for	for	ADP
cana-5752	9	15	the	the	DET
cana-5752	9	16	early	early	ADJ
cana-5752	9	17	discovery	discovery	NOUN
cana-5752	9	18	of	of	ADP
cana-5752	9	19	skin	skin	NOUN
cana-5752	9	20	cancer	cancer	NOUN
cana-5752	9	21	.	.	PUNCT
cana-5752	10	1	investigate	investigate	VERB
cana-5752	10	2	papers	paper	NOUN
cana-5752	10	3	distributed	distribute	VERB
cana-5752	10	4	in	in	ADP
cana-5752	10	5	well	well	ADV
cana-5752	10	6	-	-	PUNCT
cana-5752	10	7	reputed	repute	VERB
cana-5752	10	8	diaries	diary	NOUN
cana-5752	10	9	,	,	PUNCT
cana-5752	10	10	significant	significant	ADJ
cana-5752	10	11	to	to	ADP
cana-5752	10	12	the	the	DET
cana-5752	10	13	subject	subject	NOUN
cana-5752	10	14	of	of	ADP
cana-5752	10	15	skin	skin	NOUN
cana-5752	10	16	cancer	cancer	NOUN
cana-5752	10	17	conclusion	conclusion	NOUN
cana-5752	10	18	,	,	PUNCT
cana-5752	10	19	were	be	AUX
cana-5752	10	20	analyzed	analyze	VERB
cana-5752	10	21	.	.	PUNCT
cana-5752	11	1	inquire	inquire	VERB
cana-5752	11	2	about	about	ADP
cana-5752	11	3	discoveries	discovery	NOUN
cana-5752	11	4	are	be	AUX
cana-5752	11	5	displayed	display	VERB
cana-5752	11	6	in	in	ADP
cana-5752	11	7	instruments	instrument	NOUN
cana-5752	11	8	,	,	PUNCT
cana-5752	11	9	charts	chart	NOUN
cana-5752	11	10	,	,	PUNCT
cana-5752	11	11	tables	table	NOUN
cana-5752	11	12	,	,	PUNCT
cana-5752	11	13	methods	method	NOUN
cana-5752	11	14	,	,	PUNCT
cana-5752	11	15	and	and	CCONJ
cana-5752	11	16	systems	system	NOUN
cana-5752	11	17	for	for	ADP
cana-5752	11	18	way	way	NOUN
cana-5752	11	19	better	well	ADJ
cana-5752	11	20	understanding	understanding	NOUN
cana-5752	11	21	.	.	PUNCT
cana-5752	12	1	keywords	keyword	NOUN
cana-5752	12	2	:	:	PUNCT
cana-5752	12	3	skin	skin	NOUN
cana-5752	12	4	lesion	lesion	NOUN
cana-5752	12	5	,	,	PUNCT
cana-5752	12	6	deep	deep	ADJ
cana-5752	12	7	learning	learning	NOUN
cana-5752	12	8	,	,	PUNCT
cana-5752	12	9	ceroscopy	ceroscopy	PROPN
cana-5752	12	10	,	,	PUNCT
cana-5752	12	11	classification	classification	NOUN
cana-5752	12	12	,	,	PUNCT
cana-5752	12	13	neural	neural	ADJ
cana-5752	12	14	network	network	NOUN
cana-5752	12	15	,	,	PUNCT
cana-5752	12	16	melanoma	melanoma	NOUN
cana-5752	12	17	.	.	PUNCT
cana-5752	13	1	1	1	X
cana-5752	13	2	.	.	X
cana-5752	13	3	introduction	introduction	NOUN
cana-5752	13	4	skin	skin	NOUN
cana-5752	13	5	cancer	cancer	NOUN
cana-5752	13	6	is	be	AUX
cana-5752	13	7	one	one	NUM
cana-5752	13	8	of	of	ADP
cana-5752	13	9	the	the	DET
cana-5752	13	10	foremost	foremost	ADJ
cana-5752	13	11	active	active	ADJ
cana-5752	13	12	types	type	NOUN
cana-5752	13	13	of	of	ADP
cana-5752	13	14	cancer	cancer	NOUN
cana-5752	13	15	within	within	ADP
cana-5752	13	16	the	the	DET
cana-5752	13	17	show	show	NOUN
cana-5752	13	18	decade	decade	NOUN
cana-5752	13	19	[	[	X
cana-5752	13	20	1	1	NUM
cana-5752	13	21	]	]	PUNCT
cana-5752	13	22	.	.	PUNCT
cana-5752	14	1	as	as	SCONJ
cana-5752	14	2	the	the	DET
cana-5752	14	3	skin	skin	NOUN
cana-5752	14	4	is	be	AUX
cana-5752	14	5	the	the	DET
cana-5752	14	6	body	body	NOUN
cana-5752	14	7	’s	’s	PART
cana-5752	14	8	biggest	big	ADJ
cana-5752	14	9	organ	organ	NOUN
cana-5752	14	10	,	,	PUNCT
cana-5752	14	11	the	the	DET
cana-5752	14	12	point	point	NOUN
cana-5752	14	13	of	of	ADP
cana-5752	14	14	considering	consider	VERB
cana-5752	14	15	skin	skin	NOUN
cana-5752	14	16	cancer	cancer	NOUN
cana-5752	14	17	as	as	ADP
cana-5752	14	18	the	the	DET
cana-5752	14	19	foremost	foremost	ADJ
cana-5752	14	20	common	common	ADJ
cana-5752	14	21	sort	sort	NOUN
cana-5752	14	22	of	of	ADP
cana-5752	14	23	cancer	cancer	NOUN
cana-5752	14	24	among	among	ADP
cana-5752	14	25	people	people	NOUN
cana-5752	14	26	is	be	AUX
cana-5752	14	27	justifiable	justifiable	ADJ
cana-5752	14	28	[	[	X
cana-5752	14	29	2	2	NUM
cana-5752	14	30	]	]	PUNCT
cana-5752	14	31	.	.	PUNCT
cana-5752	15	1	it	it	PRON
cana-5752	15	2	is	be	AUX
cana-5752	15	3	by	by	ADP
cana-5752	15	4	and	and	CCONJ
cana-5752	15	5	large	large	ADJ
cana-5752	15	6	classified	classified	ADJ
cana-5752	15	7	into	into	ADP
cana-5752	15	8	two	two	NUM
cana-5752	15	9	major	major	ADJ
cana-5752	15	10	categories	category	NOUN
cana-5752	15	11	:	:	PUNCT
cana-5752	15	12	melanoma	melanoma	NOUN
cana-5752	15	13	and	and	CCONJ
cana-5752	15	14	nonmelanoma	nonmelanoma	ADJ
cana-5752	15	15	skin	skin	NOUN
cana-5752	15	16	cancer	cancer	NOUN
cana-5752	16	1	[	[	X
cana-5752	16	2	3	3	NUM
cana-5752	16	3	]	]	PUNCT
cana-5752	16	4	.	.	PUNCT
cana-5752	17	1	melanoma	melanoma	PROPN
cana-5752	17	2	may	may	AUX
cana-5752	17	3	be	be	AUX
cana-5752	17	4	a	a	DET
cana-5752	17	5	unsafe	unsafe	ADJ
cana-5752	17	6	,	,	PUNCT
cana-5752	17	7	uncommon	uncommon	ADJ
cana-5752	17	8	,	,	PUNCT
cana-5752	17	9	and	and	CCONJ
cana-5752	17	10	dangerous	dangerous	ADJ
cana-5752	17	11	sort	sort	NOUN
cana-5752	17	12	of	of	ADP
cana-5752	17	13	skin	skin	NOUN
cana-5752	17	14	cancer	cancer	NOUN
cana-5752	17	15	.	.	PUNCT
cana-5752	18	1	agreeing	agree	VERB
cana-5752	18	2	to	to	ADP
cana-5752	18	3	measurements	measurement	NOUN
cana-5752	18	4	from	from	ADP
cana-5752	18	5	the	the	DET
cana-5752	18	6	american	american	ADJ
cana-5752	18	7	cancer	cancer	NOUN
cana-5752	18	8	society	society	NOUN
cana-5752	18	9	,	,	PUNCT
cana-5752	18	10	melanoma	melanoma	NOUN
cana-5752	18	11	skin	skin	NOUN
cana-5752	18	12	cancer	cancer	NOUN
cana-5752	18	13	cases	case	NOUN
cana-5752	18	14	are	be	AUX
cana-5752	18	15	as	as	SCONJ
cana-5752	18	16	it	it	PRON
cana-5752	18	17	were	be	AUX
cana-5752	18	18	1	1	NUM
cana-5752	18	19	%	%	NOUN
cana-5752	18	20	of	of	ADP
cana-5752	18	21	add	add	VERB
cana-5752	18	22	up	up	ADP
cana-5752	18	23	to	to	ADP
cana-5752	18	24	cases	case	NOUN
cana-5752	18	25	,	,	PUNCT
cana-5752	18	26	but	but	CCONJ
cana-5752	18	27	they	they	PRON
cana-5752	18	28	result	result	VERB
cana-5752	18	29	in	in	ADP
cana-5752	18	30	the	the	DET
cana-5752	18	31	next	next	ADJ
cana-5752	18	32	passing	pass	VERB
cana-5752	18	33	rate	rate	NOUN
cana-5752	18	34	[	[	X
cana-5752	18	35	4	4	NUM
cana-5752	18	36	]	]	PUNCT
cana-5752	18	37	.	.	PUNCT
cana-5752	19	1	melanoma	melanoma	NOUN
cana-5752	19	2	creates	create	VERB
cana-5752	19	3	in	in	ADP
cana-5752	19	4	cells	cell	NOUN
cana-5752	19	5	called	call	VERB
cana-5752	19	6	melanocytes	melanocyte	NOUN
cana-5752	19	7	.	.	PUNCT
cana-5752	20	1	it	it	PRON
cana-5752	20	2	begins	begin	VERB
cana-5752	20	3	when	when	SCONJ
cana-5752	20	4	solid	solid	ADJ
cana-5752	20	5	melanocytes	melanocyte	NOUN
cana-5752	20	6	start	start	VERB
cana-5752	20	7	to	to	PART
cana-5752	20	8	develop	develop	VERB
cana-5752	20	9	out	out	ADP
cana-5752	20	10	of	of	ADP
cana-5752	20	11	control	control	NOUN
cana-5752	20	12	,	,	PUNCT
cana-5752	20	13	making	make	VERB
cana-5752	20	14	a	a	DET
cana-5752	20	15	cancerous	cancerous	ADJ
cana-5752	20	16	tumor	tumor	NOUN
cana-5752	20	17	.	.	PUNCT
cana-5752	21	1	it	it	PRON
cana-5752	21	2	can	can	AUX
cana-5752	21	3	influence	influence	VERB
cana-5752	21	4	any	any	DET
cana-5752	21	5	zone	zone	NOUN
cana-5752	21	6	of	of	ADP
cana-5752	21	7	the	the	DET
cana-5752	21	8	human	human	ADJ
cana-5752	21	9	body	body	NOUN
cana-5752	21	10	.	.	PUNCT
cana-5752	22	1	it	it	PRON
cana-5752	22	2	as	as	ADP
cana-5752	22	3	a	a	DET
cana-5752	22	4	rule	rule	NOUN
cana-5752	22	5	shows	show	VERB
cana-5752	22	6	up	up	ADP
cana-5752	22	7	on	on	ADP
cana-5752	22	8	the	the	DET
cana-5752	22	9	regions	region	NOUN
cana-5752	22	10	uncovered	uncover	VERB
cana-5752	22	11	to	to	ADP
cana-5752	22	12	sun	sun	NOUN
cana-5752	22	13	beams	beam	NOUN
cana-5752	22	14	,	,	PUNCT
cana-5752	22	15	such	such	ADJ
cana-5752	22	16	as	as	ADP
cana-5752	22	17	on	on	ADP
cana-5752	22	18	the	the	DET
cana-5752	22	19	hands	hand	NOUN
cana-5752	22	20	,	,	PUNCT
cana-5752	22	21	confront	confront	NOUN
cana-5752	22	22	,	,	PUNCT
cana-5752	22	23	neck	neck	NOUN
cana-5752	22	24	,	,	PUNCT
cana-5752	22	25	lips	lip	NOUN
cana-5752	22	26	,	,	PUNCT
cana-5752	22	27	etc	etc	X
cana-5752	22	28	.	.	X
cana-5752	22	29	melanoma	melanoma	NOUN
cana-5752	22	30	sort	sort	NOUN
cana-5752	22	31	of	of	ADP
cana-5752	22	32	cancers	cancer	NOUN
cana-5752	22	33	can	can	AUX
cana-5752	22	34	as	as	SCONJ
cana-5752	22	35	it	it	PRON
cana-5752	22	36	were	be	AUX
cana-5752	22	37	be	be	AUX
cana-5752	22	38	cured	cure	VERB
cana-5752	22	39	on	on	ADP
cana-5752	22	40	the	the	DET
cana-5752	22	41	off	off	ADJ
cana-5752	22	42	chance	chance	NOUN
cana-5752	22	43	that	that	PRON
cana-5752	22	44	analyzed	analyze	VERB
cana-5752	22	45	early	early	ADV
cana-5752	22	46	;	;	PUNCT
cana-5752	22	47	something	something	PRON
cana-5752	22	48	else	else	ADV
cana-5752	22	49	,	,	PUNCT
cana-5752	22	50	they	they	PRON
cana-5752	22	51	spread	spread	VERB
cana-5752	22	52	to	to	ADP
cana-5752	22	53	other	other	ADJ
cana-5752	22	54	body	body	NOUN
cana-5752	22	55	parts	part	NOUN
cana-5752	22	56	and	and	CCONJ
cana-5752	22	57	lead	lead	VERB
cana-5752	22	58	to	to	ADP
cana-5752	22	59	communications	communication	NOUN
cana-5752	22	60	on	on	ADP
cana-5752	22	61	applied	apply	VERB
cana-5752	22	62	nonlinear	nonlinear	ADJ
cana-5752	22	63	analysis	analysis	NOUN
cana-5752	22	64	issn	issn	NOUN
cana-5752	22	65	:	:	PUNCT
cana-5752	22	66	1074	1074	NUM
cana-5752	22	67	-	-	PUNCT
cana-5752	22	68	133x	133x	NUM
cana-5752	22	69	vol	vol	NOUN
cana-5752	22	70	32	32	NUM
cana-5752	22	71	no	no	NOUN
cana-5752	22	72	.	.	PUNCT
cana-5752	23	1	3s	3s	NUM
cana-5752	23	2	(	(	PUNCT
cana-5752	23	3	2025	2025	NUM
cana-5752	23	4	)	)	PUNCT
cana-5752	23	5	760	760	NUM
cana-5752	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	23	7	the	the	DET
cana-5752	23	8	victim	victim	NOUN
cana-5752	23	9	’s	’s	PART
cana-5752	23	10	agonizing	agonizing	ADJ
cana-5752	23	11	passing	pass	VERB
cana-5752	23	12	[	[	X
cana-5752	23	13	5	5	NUM
cana-5752	23	14	]	]	PUNCT
cana-5752	23	15	.	.	PUNCT
cana-5752	24	1	there	there	ADV
cana-5752	24	2	as	as	ADP
cana-5752	24	3	different	different	ADJ
cana-5752	24	4	sorts	sort	NOUN
cana-5752	24	5	of	of	ADP
cana-5752	24	6	melanoma	melanoma	NOUN
cana-5752	24	7	skin	skin	NOUN
cana-5752	24	8	cancer	cancer	NOUN
cana-5752	24	9	such	such	ADJ
cana-5752	24	10	as	as	ADP
cana-5752	24	11	nodular	nodular	ADJ
cana-5752	24	12	melanoma	melanoma	NOUN
cana-5752	24	13	,	,	PUNCT
cana-5752	24	14	shallow	shallow	ADJ
cana-5752	24	15	spreading	spread	VERB
cana-5752	24	16	melanoma	melanoma	NOUN
cana-5752	24	17	,	,	PUNCT
cana-5752	24	18	acral	acral	ADJ
cana-5752	24	19	lentiginous	lentiginous	ADJ
cana-5752	24	20	,	,	PUNCT
cana-5752	24	21	and	and	CCONJ
cana-5752	24	22	lentigo	lentigo	ADJ
cana-5752	24	23	maligna	maligna	NOUN
cana-5752	25	1	[	[	X
cana-5752	25	2	3	3	NUM
cana-5752	25	3	]	]	PUNCT
cana-5752	25	4	.	.	PUNCT
cana-5752	26	1	the	the	DET
cana-5752	26	2	larger	large	ADJ
cana-5752	26	3	part	part	NOUN
cana-5752	26	4	of	of	ADP
cana-5752	26	5	cancer	cancer	NOUN
cana-5752	26	6	cases	case	NOUN
cana-5752	26	7	lie	lie	VERB
cana-5752	26	8	beneath	beneath	ADP
cana-5752	26	9	the	the	DET
cana-5752	26	10	umbrella	umbrella	NOUN
cana-5752	26	11	of	of	ADP
cana-5752	26	12	nonmelanoma	nonmelanoma	ADJ
cana-5752	26	13	categories	category	NOUN
cana-5752	26	14	,	,	PUNCT
cana-5752	26	15	such	such	ADJ
cana-5752	26	16	as	as	ADP
cana-5752	26	17	basal	basal	ADJ
cana-5752	26	18	cell	cell	NOUN
cana-5752	26	19	carcinoma	carcinoma	NOUN
cana-5752	26	20	(	(	PUNCT
cana-5752	26	21	bcc	bcc	PROPN
cana-5752	26	22	)	)	PUNCT
cana-5752	26	23	,	,	PUNCT
cana-5752	26	24	squamous	squamous	ADJ
cana-5752	26	25	cell	cell	NOUN
cana-5752	26	26	carcinoma	carcinoma	NOUN
cana-5752	26	27	(	(	PUNCT
cana-5752	26	28	scc	scc	NOUN
cana-5752	26	29	)	)	PUNCT
cana-5752	26	30	,	,	PUNCT
cana-5752	26	31	and	and	CCONJ
cana-5752	26	32	sebaceous	sebaceous	ADJ
cana-5752	26	33	organ	organ	NOUN
cana-5752	26	34	carcinoma	carcinoma	NOUN
cana-5752	26	35	(	(	PUNCT
cana-5752	26	36	sgc	sgc	PROPN
cana-5752	26	37	)	)	PUNCT
cana-5752	26	38	.	.	PUNCT
cana-5752	27	1	bcc	bcc	PROPN
cana-5752	27	2	,	,	PUNCT
cana-5752	27	3	sgc	sgc	PROPN
cana-5752	27	4	,	,	PUNCT
cana-5752	27	5	and	and	CCONJ
cana-5752	27	6	scc	scc	NOUN
cana-5752	27	7	are	be	AUX
cana-5752	27	8	shaped	shape	VERB
cana-5752	27	9	within	within	ADP
cana-5752	27	10	the	the	DET
cana-5752	27	11	center	center	NOUN
cana-5752	27	12	and	and	CCONJ
cana-5752	27	13	upper	upper	ADJ
cana-5752	27	14	layers	layer	NOUN
cana-5752	27	15	of	of	ADP
cana-5752	27	16	the	the	DET
cana-5752	27	17	epidermis	epidermis	NOUN
cana-5752	27	18	,	,	PUNCT
cana-5752	27	19	individually	individually	ADV
cana-5752	27	20	.	.	PUNCT
cana-5752	28	1	these	these	DET
cana-5752	28	2	cancer	cancer	NOUN
cana-5752	28	3	cells	cell	NOUN
cana-5752	28	4	have	have	VERB
cana-5752	28	5	a	a	DET
cana-5752	28	6	moo	moo	NOUN
cana-5752	28	7	inclination	inclination	NOUN
cana-5752	28	8	of	of	ADP
cana-5752	28	9	spreading	spread	VERB
cana-5752	28	10	to	to	ADP
cana-5752	28	11	other	other	ADJ
cana-5752	28	12	body	body	NOUN
cana-5752	28	13	parts	part	NOUN
cana-5752	28	14	.	.	PUNCT
cana-5752	29	1	nonmelanoma	nonmelanoma	ADJ
cana-5752	29	2	cancers	cancer	NOUN
cana-5752	29	3	are	be	AUX
cana-5752	29	4	effortlessly	effortlessly	ADV
cana-5752	29	5	treated	treat	VERB
cana-5752	29	6	as	as	ADP
cana-5752	29	7	compared	compare	VERB
cana-5752	29	8	with	with	ADP
cana-5752	29	9	melanoma	melanoma	ADJ
cana-5752	29	10	cancers	cancer	NOUN
cana-5752	29	11	.	.	PUNCT
cana-5752	30	1	in	in	ADP
cana-5752	30	2	this	this	DET
cana-5752	30	3	manner	manner	NOUN
cana-5752	30	4	,	,	PUNCT
cana-5752	30	5	the	the	DET
cana-5752	30	6	basic	basic	ADJ
cana-5752	30	7	figure	figure	NOUN
cana-5752	30	8	in	in	ADP
cana-5752	30	9	skin	skin	NOUN
cana-5752	30	10	cancer	cancer	NOUN
cana-5752	30	11	treatment	treatment	NOUN
cana-5752	30	12	is	be	AUX
cana-5752	30	13	early	early	ADJ
cana-5752	30	14	conclusion	conclusion	NOUN
cana-5752	30	15	[	[	X
cana-5752	30	16	6	6	NUM
cana-5752	30	17	]	]	PUNCT
cana-5752	30	18	.	.	PUNCT
cana-5752	31	1	specialists	specialist	NOUN
cana-5752	31	2	customarily	customarily	ADV
cana-5752	31	3	utilize	utilize	VERB
cana-5752	31	4	the	the	DET
cana-5752	31	5	biopsy	biopsy	NOUN
cana-5752	31	6	strategy	strategy	NOUN
cana-5752	31	7	for	for	ADP
cana-5752	31	8	skin	skin	NOUN
cana-5752	31	9	cancer	cancer	NOUN
cana-5752	31	10	discovery	discovery	NOUN
cana-5752	31	11	.	.	PUNCT
cana-5752	32	1	this	this	DET
cana-5752	32	2	strategy	strategy	NOUN
cana-5752	32	3	evacuates	evacuate	VERB
cana-5752	32	4	a	a	DET
cana-5752	32	5	test	test	NOUN
cana-5752	32	6	from	from	ADP
cana-5752	32	7	a	a	DET
cana-5752	32	8	suspected	suspect	VERB
cana-5752	32	9	skin	skin	NOUN
cana-5752	32	10	injury	injury	NOUN
cana-5752	32	11	for	for	ADP
cana-5752	32	12	therapeutic	therapeutic	ADJ
cana-5752	32	13	examination	examination	NOUN
cana-5752	32	14	to	to	PART
cana-5752	32	15	decide	decide	VERB
cana-5752	32	16	whether	whether	SCONJ
cana-5752	32	17	it	it	PRON
cana-5752	32	18	is	be	AUX
cana-5752	32	19	cancerous	cancerous	ADJ
cana-5752	32	20	or	or	CCONJ
cana-5752	32	21	not	not	PART
cana-5752	32	22	.	.	PUNCT
cana-5752	33	1	this	this	DET
cana-5752	33	2	handle	handle	NOUN
cana-5752	33	3	is	be	AUX
cana-5752	33	4	excruciating	excruciating	ADJ
cana-5752	33	5	,	,	PUNCT
cana-5752	33	6	moderate	moderate	ADJ
cana-5752	33	7	,	,	PUNCT
cana-5752	33	8	and	and	CCONJ
cana-5752	33	9	time	time	NOUN
cana-5752	33	10	-	-	PUNCT
cana-5752	33	11	consuming	consume	VERB
cana-5752	33	12	.	.	PUNCT
cana-5752	34	1	computer	computer	NOUN
cana-5752	34	2	-	-	PUNCT
cana-5752	34	3	based	base	VERB
cana-5752	34	4	innovation	innovation	NOUN
cana-5752	34	5	gives	give	VERB
cana-5752	34	6	a	a	DET
cana-5752	34	7	comfortable	comfortable	ADJ
cana-5752	34	8	,	,	PUNCT
cana-5752	34	9	less	less	ADV
cana-5752	34	10	costly	costly	ADJ
cana-5752	34	11	,	,	PUNCT
cana-5752	34	12	and	and	CCONJ
cana-5752	34	13	fast	fast	ADJ
cana-5752	34	14	determination	determination	NOUN
cana-5752	34	15	of	of	ADP
cana-5752	34	16	skin	skin	NOUN
cana-5752	34	17	cancer	cancer	NOUN
cana-5752	34	18	indications	indication	NOUN
cana-5752	34	19	.	.	PUNCT
cana-5752	35	1	in	in	ADP
cana-5752	35	2	arrange	arrange	NOUN
cana-5752	35	3	to	to	PART
cana-5752	35	4	look	look	VERB
cana-5752	35	5	at	at	ADP
cana-5752	35	6	the	the	DET
cana-5752	35	7	skin	skin	NOUN
cana-5752	35	8	cancer	cancer	NOUN
cana-5752	35	9	side	side	NOUN
cana-5752	35	10	effects	effect	NOUN
cana-5752	35	11	,	,	PUNCT
cana-5752	35	12	whether	whether	SCONJ
cana-5752	35	13	they	they	PRON
cana-5752	35	14	speak	speak	VERB
cana-5752	35	15	to	to	ADP
cana-5752	35	16	melanoma	melanoma	NOUN
cana-5752	35	17	or	or	CCONJ
cana-5752	35	18	nonmelanoma	nonmelanoma	ADJ
cana-5752	35	19	,	,	PUNCT
cana-5752	35	20	numerous	numerous	ADJ
cana-5752	35	21	methods	method	NOUN
cana-5752	35	22	,	,	PUNCT
cana-5752	35	23	noninvasive	noninvasive	ADJ
cana-5752	35	24	in	in	ADP
cana-5752	35	25	nature	nature	NOUN
cana-5752	35	26	,	,	PUNCT
cana-5752	35	27	are	be	AUX
cana-5752	35	28	proposed	propose	VERB
cana-5752	35	29	.	.	PUNCT
cana-5752	36	1	the	the	DET
cana-5752	36	2	common	common	ADJ
cana-5752	36	3	strategy	strategy	NOUN
cana-5752	36	4	taken	take	VERB
cana-5752	36	5	after	after	ADV
cana-5752	36	6	in	in	ADP
cana-5752	36	7	skin	skin	NOUN
cana-5752	36	8	cancer	cancer	NOUN
cana-5752	36	9	location	location	NOUN
cana-5752	36	10	is	be	AUX
cana-5752	36	11	procuring	procure	VERB
cana-5752	36	12	the	the	DET
cana-5752	36	13	picture	picture	NOUN
cana-5752	36	14	,	,	PUNCT
cana-5752	36	15	preprocessing	preprocessing	NOUN
cana-5752	36	16	,	,	PUNCT
cana-5752	36	17	fragmenting	fragment	VERB
cana-5752	36	18	the	the	DET
cana-5752	36	19	obtained	obtain	VERB
cana-5752	36	20	preprocessed	preprocesse	VERB
cana-5752	36	21	picture	picture	NOUN
cana-5752	36	22	,	,	PUNCT
cana-5752	36	23	extricating	extricate	VERB
cana-5752	36	24	the	the	DET
cana-5752	36	25	required	require	VERB
cana-5752	36	26	highlight	highlight	NOUN
cana-5752	36	27	,	,	PUNCT
cana-5752	36	28	and	and	CCONJ
cana-5752	36	29	classifying	classify	VERB
cana-5752	36	30	it	it	PRON
cana-5752	36	31	.	.	PUNCT
cana-5752	37	1	2	2	X
cana-5752	37	2	.	.	NUM
cana-5752	37	3	proposed	propose	VERB
cana-5752	37	4	system	system	NOUN
cana-5752	37	5	the	the	DET
cana-5752	37	6	proposed	propose	VERB
cana-5752	37	7	framework	framework	NOUN
cana-5752	37	8	leverages	leverage	VERB
cana-5752	37	9	a	a	DET
cana-5752	37	10	pre	pre	ADJ
cana-5752	37	11	-	-	ADJ
cana-5752	37	12	trained	train	VERB
cana-5752	37	13	vgg‑16	vgg‑16	NOUN
cana-5752	37	14	convolutional	convolutional	ADJ
cana-5752	37	15	neural	neural	ADJ
cana-5752	37	16	organize	organize	NOUN
cana-5752	37	17	(	(	PUNCT
cana-5752	37	18	cnn	cnn	PROPN
cana-5752	37	19	)	)	PUNCT
cana-5752	37	20	,	,	PUNCT
cana-5752	37	21	fine	fine	ADV
cana-5752	37	22	-	-	PUNCT
cana-5752	37	23	tuned	tune	VERB
cana-5752	37	24	on	on	ADP
cana-5752	37	25	a	a	DET
cana-5752	37	26	huge	huge	ADJ
cana-5752	37	27	,	,	PUNCT
cana-5752	37	28	well	well	ADV
cana-5752	37	29	-	-	PUNCT
cana-5752	37	30	curated	curate	VERB
cana-5752	37	31	dataset	dataset	NOUN
cana-5752	37	32	of	of	ADP
cana-5752	37	33	skin	skin	NOUN
cana-5752	37	34	injury	injury	NOUN
cana-5752	37	35	pictures	picture	NOUN
cana-5752	37	36	labeled	label	VERB
cana-5752	37	37	as	as	ADP
cana-5752	37	38	kind	kind	NOUN
cana-5752	37	39	or	or	CCONJ
cana-5752	37	40	dangerous	dangerous	ADJ
cana-5752	37	41	it	it	PRON
cana-5752	37	42	starts	start	VERB
cana-5752	37	43	with	with	ADP
cana-5752	37	44	vigorous	vigorous	ADJ
cana-5752	37	45	preprocessing	preprocessing	NOUN
cana-5752	37	46	—	—	PUNCT
cana-5752	37	47	including	include	VERB
cana-5752	37	48	artifact	artifact	ADJ
cana-5752	37	49	expulsion	expulsion	NOUN
cana-5752	37	50	(	(	PUNCT
cana-5752	37	51	e.g.	e.g.	ADV
cana-5752	37	52	,	,	PUNCT
cana-5752	37	53	hair	hair	NOUN
cana-5752	37	54	)	)	PUNCT
cana-5752	37	55	,	,	PUNCT
cana-5752	37	56	concentrated	concentrated	ADJ
cana-5752	37	57	normalization	normalization	NOUN
cana-5752	37	58	,	,	PUNCT
cana-5752	37	59	resizing	resizing	NOUN
cana-5752	37	60	,	,	PUNCT
cana-5752	37	61	and	and	CCONJ
cana-5752	37	62	standardization	standardization	NOUN
cana-5752	37	63	—	—	PUNCT
cana-5752	37	64	to	to	PART
cana-5752	37	65	guarantee	guarantee	VERB
cana-5752	37	66	clean	clean	ADJ
cana-5752	37	67	and	and	CCONJ
cana-5752	37	68	steady	steady	ADJ
cana-5752	37	69	inputs	input	NOUN
cana-5752	37	70	the	the	DET
cana-5752	37	71	vgg‑16	vgg‑16	NOUN
cana-5752	37	72	spine	spine	NOUN
cana-5752	37	73	extricates	extricate	VERB
cana-5752	37	74	profound	profound	ADJ
cana-5752	37	75	progressive	progressive	ADJ
cana-5752	37	76	highlights	highlight	NOUN
cana-5752	37	77	,	,	PUNCT
cana-5752	37	78	which	which	PRON
cana-5752	37	79	are	be	AUX
cana-5752	37	80	passed	pass	VERB
cana-5752	37	81	into	into	ADP
cana-5752	37	82	a	a	DET
cana-5752	37	83	completely	completely	ADV
cana-5752	37	84	associated	associate	VERB
cana-5752	37	85	classifier	classifier	NOUN
cana-5752	37	86	for	for	ADP
cana-5752	37	87	last	last	ADJ
cana-5752	37	88	forecast	forecast	NOUN
cana-5752	37	89	.	.	PUNCT
cana-5752	38	1	to	to	PART
cana-5752	38	2	address	address	VERB
cana-5752	38	3	information	information	NOUN
cana-5752	38	4	lopsidedness	lopsidedness	PROPN
cana-5752	38	5	,	,	PUNCT
cana-5752	38	6	the	the	DET
cana-5752	38	7	framework	framework	NOUN
cana-5752	38	8	coordinating	coordinate	VERB
cana-5752	38	9	increase	increase	NOUN
cana-5752	38	10	procedures	procedure	NOUN
cana-5752	38	11	such	such	ADJ
cana-5752	38	12	as	as	SCONJ
cana-5752	38	13	destroyed	destroy	VERB
cana-5752	38	14	or	or	CCONJ
cana-5752	38	15	gan	gin	VERB
cana-5752	38	16	-	-	PUNCT
cana-5752	38	17	generated	generate	VERB
cana-5752	38	18	tests	test	NOUN
cana-5752	38	19	,	,	PUNCT
cana-5752	38	20	in	in	ADP
cana-5752	38	21	conjunction	conjunction	NOUN
cana-5752	38	22	with	with	ADP
cana-5752	38	23	class‑weighted	class‑weighte	VERB
cana-5752	38	24	misfortune	misfortune	NOUN
cana-5752	38	25	capacities	capacity	NOUN
cana-5752	38	26	underrepresented	underrepresente	VERB
cana-5752	38	27	dangerous	dangerous	ADJ
cana-5752	38	28	classes	class	NOUN
cana-5752	38	29	frontiersin.orgalternatively	frontiersin.orgalternatively	ADV
cana-5752	38	30	,	,	PUNCT
cana-5752	38	31	the	the	DET
cana-5752	38	32	demonstrate	demonstrate	NOUN
cana-5752	38	33	can	can	AUX
cana-5752	38	34	be	be	AUX
cana-5752	38	35	amplified	amplify	VERB
cana-5752	38	36	with	with	ADP
cana-5752	38	37	metadata	metadata	NOUN
cana-5752	38	38	inputs	input	NOUN
cana-5752	38	39	(	(	PUNCT
cana-5752	38	40	e.g.	e.g.	ADV
cana-5752	38	41	,	,	PUNCT
cana-5752	38	42	quiet	quiet	ADJ
cana-5752	38	43	age	age	NOUN
cana-5752	38	44	,	,	PUNCT
cana-5752	38	45	injury	injury	NOUN
cana-5752	38	46	area	area	NOUN
cana-5752	38	47	)	)	PUNCT
cana-5752	38	48	by	by	ADP
cana-5752	38	49	concatenating	concatenate	VERB
cana-5752	38	50	clinical	clinical	ADJ
cana-5752	38	51	information	information	NOUN
cana-5752	38	52	to	to	ADP
cana-5752	38	53	the	the	DET
cana-5752	38	54	cnn	cnn	PROPN
cana-5752	38	55	yield	yield	VERB
cana-5752	38	56	some	some	DET
cana-5752	38	57	time	time	NOUN
cana-5752	38	58	recently	recently	ADV
cana-5752	38	59	classification	classification	NOUN
cana-5752	38	60	—	—	PUNCT
cana-5752	38	61	an	an	DET
cana-5752	38	62	approach	approach	NOUN
cana-5752	38	63	appeared	appear	VERB
cana-5752	38	64	to	to	PART
cana-5752	38	65	boost	boost	VERB
cana-5752	38	66	precision	precision	NOUN
cana-5752	38	67	by	by	ADP
cana-5752	38	68	≈	≈	PROPN
cana-5752	38	69	 	 	SPACE
cana-5752	38	70	5	5	NUM
cana-5752	38	71	 	 	SPACE
cana-5752	38	72	%	%	NOUN
cana-5752	38	73	the	the	DET
cana-5752	38	74	result	result	NOUN
cana-5752	38	75	may	may	AUX
cana-5752	38	76	be	be	AUX
cana-5752	38	77	a	a	DET
cana-5752	38	78	quick	quick	ADJ
cana-5752	38	79	,	,	PUNCT
cana-5752	38	80	interpretable	interpretable	ADJ
cana-5752	38	81	,	,	PUNCT
cana-5752	38	82	and	and	CCONJ
cana-5752	38	83	clinically‑viable	clinically‑viable	ADJ
cana-5752	38	84	apparatus	apparatus	NOUN
cana-5752	38	85	planned	plan	VERB
cana-5752	38	86	not	not	PART
cana-5752	38	87	as	as	SCONJ
cana-5752	38	88	it	it	PRON
cana-5752	38	89	were	be	AUX
cana-5752	38	90	for	for	ADP
cana-5752	38	91	tall	tall	ADJ
cana-5752	38	92	precision	precision	NOUN
cana-5752	38	93	(	(	PUNCT
cana-5752	38	94	>	>	SYM
cana-5752	38	95	 	 	SPACE
cana-5752	38	96	90	90	NUM
cana-5752	38	97	 	 	SPACE
cana-5752	38	98	%	%	NOUN
cana-5752	38	99	)	)	PUNCT
cana-5752	38	100	but	but	CCONJ
cana-5752	38	101	too	too	ADV
cana-5752	38	102	for	for	ADP
cana-5752	38	103	arrangement	arrangement	NOUN
cana-5752	38	104	in	in	ADP
cana-5752	38	105	situations	situation	NOUN
cana-5752	38	106	extending	extend	VERB
cana-5752	38	107	from	from	ADP
cana-5752	38	108	smartphone	smartphone	NOUN
cana-5752	38	109	apps	app	NOUN
cana-5752	38	110	to	to	ADP
cana-5752	38	111	point‑of‑care	point‑of‑care	ADJ
cana-5752	38	112	devices	device	NOUN
cana-5752	38	113	—	—	PUNCT
cana-5752	38	114	empowering	empower	VERB
cana-5752	38	115	prior	prior	ADJ
cana-5752	38	116	discovery	discovery	NOUN
cana-5752	38	117	and	and	CCONJ
cana-5752	38	118	supporting	support	VERB
cana-5752	38	119	dermatologists	dermatologist	NOUN
cana-5752	38	120	in	in	ADP
cana-5752	38	121	basic	basic	ADJ
cana-5752	38	122	decisionmaking	decisionmaking	NOUN
cana-5752	38	123	.	.	PUNCT
cana-5752	39	1	communications	communication	NOUN
cana-5752	39	2	on	on	ADP
cana-5752	39	3	applied	apply	VERB
cana-5752	39	4	nonlinear	nonlinear	ADJ
cana-5752	39	5	analysis	analysis	NOUN
cana-5752	39	6	issn	issn	NOUN
cana-5752	39	7	:	:	PUNCT
cana-5752	39	8	1074	1074	NUM
cana-5752	39	9	-	-	PUNCT
cana-5752	39	10	133x	133x	NUM
cana-5752	39	11	vol	vol	NOUN
cana-5752	39	12	32	32	NUM
cana-5752	39	13	no	no	NOUN
cana-5752	39	14	.	.	PUNCT
cana-5752	40	1	3s	3s	NUM
cana-5752	40	2	(	(	PUNCT
cana-5752	40	3	2025	2025	NUM
cana-5752	40	4	)	)	PUNCT
cana-5752	40	5	761	761	NUM
cana-5752	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	40	7	3	3	X
cana-5752	40	8	.	.	NOUN
cana-5752	40	9	system	system	NOUN
cana-5752	40	10	architecture	architecture	NOUN
cana-5752	40	11	fig	fig	NOUN
cana-5752	40	12	5.1	5.1	NUM
cana-5752	40	13	system	system	NOUN
cana-5752	40	14	architecture	architecture	NOUN
cana-5752	40	15	system	system	NOUN
cana-5752	40	16	architecture	architecture	NOUN
cana-5752	40	17	fig	fig	NOUN
cana-5752	40	18	 	 	SPACE
cana-5752	40	19	5.1	5.1	NUM
cana-5752	40	20	–	–	PUNCT
cana-5752	40	21	input	input	NOUN
cana-5752	40	22	retinal	retinal	ADJ
cana-5752	40	23	fundus	fundus	NOUN
cana-5752	40	24	images	image	NOUN
cana-5752	40	25	are	be	AUX
cana-5752	40	26	converted	convert	VERB
cana-5752	40	27	from	from	ADP
cana-5752	40	28	rgb	rgb	PROPN
cana-5752	40	29	to	to	ADP
cana-5752	40	30	grayscale	grayscale	NOUN
cana-5752	40	31	—	—	PUNCT
cana-5752	40	32	preferably	preferably	ADV
cana-5752	40	33	via	via	ADP
cana-5752	40	34	the	the	DET
cana-5752	40	35	green	green	ADJ
cana-5752	40	36	channel	channel	NOUN
cana-5752	40	37	—	—	PUNCT
cana-5752	40	38	followed	follow	VERB
cana-5752	40	39	by	by	ADP
cana-5752	40	40	contrast	contrast	NOUN
cana-5752	40	41	enhancement	enhancement	NOUN
cana-5752	40	42	methods	method	NOUN
cana-5752	40	43	like	like	ADP
cana-5752	40	44	clahe	clahe	NOUN
cana-5752	40	45	,	,	PUNCT
cana-5752	40	46	morphological	morphological	ADJ
cana-5752	40	47	operations	operation	NOUN
cana-5752	40	48	,	,	PUNCT
cana-5752	40	49	and	and	CCONJ
cana-5752	40	50	illumination	illumination	NOUN
cana-5752	40	51	correction	correction	NOUN
cana-5752	40	52	to	to	PART
cana-5752	40	53	improve	improve	VERB
cana-5752	40	54	vessel	vessel	NOUN
cana-5752	40	55	visibility	visibility	NOUN
cana-5752	40	56	4	4	NUM
cana-5752	40	57	.	.	NOUN
cana-5752	41	1	results	result	NOUN
cana-5752	41	2	and	and	CCONJ
cana-5752	41	3	discussion	discussion	NOUN
cana-5752	41	4	classification	classification	NOUN
cana-5752	41	5	report	report	NOUN
cana-5752	41	6	:	:	PUNCT
cana-5752	41	7	communications	communication	NOUN
cana-5752	41	8	on	on	ADP
cana-5752	41	9	applied	apply	VERB
cana-5752	41	10	nonlinear	nonlinear	ADJ
cana-5752	41	11	analysis	analysis	NOUN
cana-5752	41	12	issn	issn	NOUN
cana-5752	41	13	:	:	PUNCT
cana-5752	41	14	1074	1074	NUM
cana-5752	41	15	-	-	PUNCT
cana-5752	41	16	133x	133x	NUM
cana-5752	41	17	vol	vol	NOUN
cana-5752	41	18	32	32	NUM
cana-5752	41	19	no	no	NOUN
cana-5752	41	20	.	.	PUNCT
cana-5752	42	1	3s	3s	NUM
cana-5752	42	2	(	(	PUNCT
cana-5752	42	3	2025	2025	NUM
cana-5752	42	4	)	)	PUNCT
cana-5752	42	5	762	762	NUM
cana-5752	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	43	1	this	this	DET
cana-5752	43	2	image	image	NOUN
cana-5752	43	3	shows	show	VERB
cana-5752	43	4	the	the	DET
cana-5752	43	5	xgboost	xgboost	PROPN
cana-5752	43	6	classification	classification	NOUN
cana-5752	43	7	report	report	NOUN
cana-5752	43	8	,	,	PUNCT
cana-5752	43	9	summarizing	summarize	VERB
cana-5752	43	10	the	the	DET
cana-5752	43	11	performance	performance	NOUN
cana-5752	43	12	of	of	ADP
cana-5752	43	13	the	the	DET
cana-5752	43	14	xgboost	xgboost	PROPN
cana-5752	43	15	classifier	classifier	NOUN
cana-5752	43	16	across	across	ADP
cana-5752	43	17	7	7	NUM
cana-5752	43	18	different	different	ADJ
cana-5752	43	19	classes	class	NOUN
cana-5752	43	20	(	(	PUNCT
cana-5752	43	21	0	0	NUM
cana-5752	43	22	to	to	ADP
cana-5752	43	23	6	6	NUM
cana-5752	43	24	)	)	PUNCT
cana-5752	43	25	.	.	PUNCT
cana-5752	44	1	it	it	PRON
cana-5752	44	2	evaluates	evaluate	VERB
cana-5752	44	3	key	key	ADJ
cana-5752	44	4	metrics	metric	NOUN
cana-5752	44	5	like	like	ADP
cana-5752	44	6	precision	precision	NOUN
cana-5752	44	7	,	,	PUNCT
cana-5752	44	8	recall	recall	NOUN
cana-5752	44	9	,	,	PUNCT
cana-5752	44	10	f1	f1	NOUN
cana-5752	44	11	-	-	PUNCT
cana-5752	44	12	score	score	NOUN
cana-5752	44	13	,	,	PUNCT
cana-5752	44	14	and	and	CCONJ
cana-5752	44	15	support	support	NOUN
cana-5752	44	16	,	,	PUNCT
cana-5752	44	17	offering	offer	VERB
cana-5752	44	18	a	a	DET
cana-5752	44	19	comprehensive	comprehensive	ADJ
cana-5752	44	20	picture	picture	NOUN
cana-5752	44	21	of	of	ADP
cana-5752	44	22	the	the	DET
cana-5752	44	23	model	model	NOUN
cana-5752	44	24	's	's	PART
cana-5752	44	25	classification	classification	NOUN
cana-5752	44	26	ability	ability	NOUN
cana-5752	44	27	.	.	PUNCT
cana-5752	45	1	metric	metric	ADJ
cana-5752	45	2	definitions	definition	NOUN
cana-5752	45	3	recap	recap	NOUN
cana-5752	45	4	:	:	PUNCT
cana-5752	45	5	•	•	NUM
cana-5752	45	6	precision	precision	NOUN
cana-5752	45	7	:	:	PUNCT
cana-5752	45	8	correct	correct	VERB
cana-5752	45	9	positive	positive	ADJ
cana-5752	45	10	predictions	prediction	NOUN
cana-5752	45	11	out	out	ADP
cana-5752	45	12	of	of	ADP
cana-5752	45	13	all	all	DET
cana-5752	45	14	predicted	predict	VERB
cana-5752	45	15	positives	positive	NOUN
cana-5752	45	16	.	.	PUNCT
cana-5752	46	1	•	•	NUM
cana-5752	46	2	recall	recall	NOUN
cana-5752	46	3	:	:	PUNCT
cana-5752	46	4	correct	correct	VERB
cana-5752	46	5	positive	positive	ADJ
cana-5752	46	6	predictions	prediction	NOUN
cana-5752	46	7	out	out	ADP
cana-5752	46	8	of	of	ADP
cana-5752	46	9	all	all	DET
cana-5752	46	10	actual	actual	ADJ
cana-5752	46	11	positives	positive	NOUN
cana-5752	46	12	.	.	PUNCT
cana-5752	47	1	•	•	NUM
cana-5752	47	2	f1	f1	NOUN
cana-5752	47	3	-	-	PUNCT
cana-5752	47	4	score	score	NOUN
cana-5752	47	5	:	:	PUNCT
cana-5752	47	6	harmonic	harmonic	ADJ
cana-5752	47	7	mean	mean	NOUN
cana-5752	47	8	of	of	ADP
cana-5752	47	9	precision	precision	NOUN
cana-5752	47	10	and	and	CCONJ
cana-5752	47	11	recall	recall	NOUN
cana-5752	47	12	—	—	PUNCT
cana-5752	47	13	balances	balance	VERB
cana-5752	47	14	false	false	ADJ
cana-5752	47	15	positives	positive	NOUN
cana-5752	47	16	and	and	CCONJ
cana-5752	47	17	false	false	ADJ
cana-5752	47	18	negatives	negative	NOUN
cana-5752	47	19	.	.	PUNCT
cana-5752	48	1	•	•	NUM
cana-5752	48	2	support	support	NOUN
cana-5752	48	3	:	:	PUNCT
cana-5752	48	4	number	number	NOUN
cana-5752	48	5	of	of	ADP
cana-5752	48	6	actual	actual	ADJ
cana-5752	48	7	samples	sample	NOUN
cana-5752	48	8	in	in	ADP
cana-5752	48	9	each	each	DET
cana-5752	48	10	class	class	NOUN
cana-5752	48	11	(	(	PUNCT
cana-5752	48	12	1341	1341	NUM
cana-5752	48	13	per	per	ADP
cana-5752	48	14	class	class	NOUN
cana-5752	48	15	here	here	ADV
cana-5752	48	16	)	)	PUNCT
cana-5752	48	17	.	.	PUNCT
cana-5752	49	1	class	class	NOUN
cana-5752	49	2	-	-	PUNCT
cana-5752	49	3	wise	wise	ADJ
cana-5752	49	4	performance	performance	NOUN
cana-5752	49	5	:	:	PUNCT
cana-5752	49	6	class	class	NOUN
cana-5752	49	7	precision	precision	NOUN
cana-5752	49	8	recall	recall	VERB
cana-5752	49	9	f1	f1	NOUN
cana-5752	49	10	-	-	PUNCT
cana-5752	49	11	score	score	NOUN
cana-5752	49	12	remarks	remark	NOUN
cana-5752	49	13	0	0	NUM
cana-5752	49	14	0.99	0.99	NUM
cana-5752	49	15	1.00	1.00	NUM
cana-5752	49	16	0.99	0.99	NUM
cana-5752	49	17	nearly	nearly	ADV
cana-5752	49	18	perfect	perfect	ADJ
cana-5752	49	19	predictions	prediction	NOUN
cana-5752	49	20	1	1	NUM
cana-5752	49	21	0.98	0.98	NUM
cana-5752	49	22	1.00	1.00	NUM
cana-5752	49	23	0.99	0.99	NUM
cana-5752	49	24	extremely	extremely	ADV
cana-5752	49	25	high	high	ADJ
cana-5752	49	26	accuracy	accuracy	NOUN
cana-5752	49	27	2	2	NUM
cana-5752	49	28	0.95	0.95	NUM
cana-5752	49	29	0.97	0.97	NUM
cana-5752	49	30	0.96	0.96	NUM
cana-5752	49	31	very	very	ADV
cana-5752	49	32	strong	strong	ADJ
cana-5752	49	33	performance	performance	NOUN
cana-5752	49	34	3	3	NUM
cana-5752	49	35	1.00	1.00	NUM
cana-5752	49	36	1.00	1.00	NUM
cana-5752	49	37	1.00	1.00	NUM
cana-5752	49	38	perfect	perfect	ADJ
cana-5752	49	39	prediction	prediction	NOUN
cana-5752	49	40	4	4	NUM
cana-5752	49	41	0.97	0.97	NUM
cana-5752	49	42	0.86	0.86	NUM
cana-5752	49	43	0.91	0.91	NUM
cana-5752	49	44	good	good	ADJ
cana-5752	49	45	precision	precision	NOUN
cana-5752	49	46	,	,	PUNCT
cana-5752	49	47	slightly	slightly	ADV
cana-5752	49	48	lower	low	ADJ
cana-5752	49	49	recall	recall	NOUN
cana-5752	49	50	5	5	NUM
cana-5752	49	51	1.00	1.00	NUM
cana-5752	49	52	1.00	1.00	NUM
cana-5752	49	53	1.00	1.00	NUM
cana-5752	49	54	perfect	perfect	ADJ
cana-5752	49	55	prediction	prediction	NOUN
cana-5752	49	56	6	6	NUM
cana-5752	49	57	0.91	0.91	NUM
cana-5752	49	58	0.97	0.97	NUM
cana-5752	49	59	0.94	0.94	NUM
cana-5752	49	60	slightly	slightly	ADV
cana-5752	49	61	lower	low	ADJ
cana-5752	49	62	precision	precision	NOUN
cana-5752	49	63	,	,	PUNCT
cana-5752	49	64	excellent	excellent	ADJ
cana-5752	49	65	recall	recall	NOUN
cana-5752	49	66	overall	overall	ADJ
cana-5752	49	67	model	model	NOUN
cana-5752	49	68	performance	performance	NOUN
cana-5752	49	69	:	:	PUNCT
cana-5752	49	70	•	•	NUM
cana-5752	49	71	accuracy	accuracy	NOUN
cana-5752	49	72	:	:	PUNCT
cana-5752	49	73	0.97	0.97	NUM
cana-5752	49	74	–	–	PUNCT
cana-5752	49	75	indicates	indicate	VERB
cana-5752	49	76	the	the	DET
cana-5752	49	77	model	model	NOUN
cana-5752	49	78	correctly	correctly	ADV
cana-5752	49	79	predicted	predict	VERB
cana-5752	49	80	97	97	NUM
cana-5752	49	81	%	%	NOUN
cana-5752	49	82	of	of	ADP
cana-5752	49	83	all	all	DET
cana-5752	49	84	test	test	NOUN
cana-5752	49	85	instances	instance	NOUN
cana-5752	49	86	.	.	PUNCT
cana-5752	50	1	•	•	NUM
cana-5752	50	2	macro	macro	PROPN
cana-5752	50	3	avg	avg	NOUN
cana-5752	50	4	:	:	PUNCT
cana-5752	50	5	0.97	0.97	NUM
cana-5752	50	6	–	–	PUNCT
cana-5752	50	7	average	average	NOUN
cana-5752	50	8	of	of	ADP
cana-5752	50	9	precision	precision	NOUN
cana-5752	50	10	,	,	PUNCT
cana-5752	50	11	recall	recall	NOUN
cana-5752	50	12	,	,	PUNCT
cana-5752	50	13	and	and	CCONJ
cana-5752	50	14	f1	f1	NOUN
cana-5752	50	15	-	-	PUNCT
cana-5752	50	16	score	score	NOUN
cana-5752	50	17	across	across	ADP
cana-5752	50	18	all	all	DET
cana-5752	50	19	classes	class	NOUN
cana-5752	50	20	(	(	PUNCT
cana-5752	50	21	treating	treat	VERB
cana-5752	50	22	all	all	DET
cana-5752	50	23	classes	class	NOUN
cana-5752	50	24	equally	equally	ADV
cana-5752	50	25	)	)	PUNCT
cana-5752	50	26	.	.	PUNCT
cana-5752	51	1	•	•	NUM
cana-5752	51	2	weighted	weight	VERB
cana-5752	51	3	avg	avg	PROPN
cana-5752	51	4	:	:	PUNCT
cana-5752	51	5	0.97	0.97	NUM
cana-5752	51	6	–	–	PUNCT
cana-5752	51	7	takes	take	VERB
cana-5752	51	8	class	class	NOUN
cana-5752	51	9	frequency	frequency	NOUN
cana-5752	51	10	into	into	ADP
cana-5752	51	11	account	account	NOUN
cana-5752	51	12	while	while	SCONJ
cana-5752	51	13	averaging	average	VERB
cana-5752	51	14	.	.	PUNCT
cana-5752	52	1	the	the	DET
cana-5752	52	2	xgboost	xgboost	PROPN
cana-5752	52	3	model	model	PROPN
cana-5752	52	4	outperforms	outperform	VERB
cana-5752	52	5	the	the	DET
cana-5752	52	6	earlier	early	ADJ
cana-5752	52	7	decision	decision	NOUN
cana-5752	52	8	tree	tree	NOUN
cana-5752	52	9	model	model	NOUN
cana-5752	52	10	,	,	PUNCT
cana-5752	52	11	achieving	achieve	VERB
cana-5752	52	12	:	:	PUNCT
cana-5752	52	13	•	•	NUM
cana-5752	52	14	higher	high	ADJ
cana-5752	52	15	accuracy	accuracy	NOUN
cana-5752	52	16	(	(	PUNCT
cana-5752	52	17	97	97	NUM
cana-5752	52	18	%	%	NOUN
cana-5752	52	19	vs	vs	ADP
cana-5752	52	20	86	86	NUM
cana-5752	52	21	%	%	NOUN
cana-5752	52	22	)	)	PUNCT
cana-5752	52	23	•	•	ADV
cana-5752	52	24	better	well	ADV
cana-5752	52	25	balanced	balanced	ADJ
cana-5752	52	26	f1	f1	NOUN
cana-5752	52	27	-	-	PUNCT
cana-5752	52	28	scores	score	NOUN
cana-5752	52	29	across	across	ADP
cana-5752	52	30	all	all	DET
cana-5752	52	31	classes	class	NOUN
cana-5752	52	32	•	•	ADP
cana-5752	52	33	perfect	perfect	ADJ
cana-5752	52	34	scores	score	NOUN
cana-5752	52	35	for	for	ADP
cana-5752	52	36	multiple	multiple	ADJ
cana-5752	52	37	classes	class	NOUN
cana-5752	52	38	(	(	PUNCT
cana-5752	52	39	3	3	NUM
cana-5752	52	40	and	and	CCONJ
cana-5752	52	41	5	5	NUM
cana-5752	52	42	)	)	PUNCT
cana-5752	52	43	communications	communication	NOUN
cana-5752	52	44	on	on	ADP
cana-5752	52	45	applied	apply	VERB
cana-5752	52	46	nonlinear	nonlinear	ADJ
cana-5752	52	47	analysis	analysis	NOUN
cana-5752	52	48	issn	issn	NOUN
cana-5752	52	49	:	:	PUNCT
cana-5752	52	50	1074	1074	NUM
cana-5752	52	51	-	-	PUNCT
cana-5752	52	52	133x	133x	NUM
cana-5752	52	53	vol	vol	NOUN
cana-5752	52	54	32	32	NUM
cana-5752	52	55	no	no	NOUN
cana-5752	52	56	.	.	PUNCT
cana-5752	53	1	3s	3s	NUM
cana-5752	53	2	(	(	PUNCT
cana-5752	53	3	2025	2025	NUM
cana-5752	53	4	)	)	PUNCT
cana-5752	53	5	763	763	NUM
cana-5752	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	53	7	even	even	ADV
cana-5752	53	8	for	for	ADP
cana-5752	53	9	relatively	relatively	ADV
cana-5752	53	10	weaker	weak	ADJ
cana-5752	53	11	classes	class	NOUN
cana-5752	53	12	in	in	ADP
cana-5752	53	13	the	the	DET
cana-5752	53	14	decision	decision	NOUN
cana-5752	53	15	tree	tree	NOUN
cana-5752	53	16	(	(	PUNCT
cana-5752	53	17	like	like	INTJ
cana-5752	53	18	class	class	NOUN
cana-5752	53	19	4	4	NUM
cana-5752	53	20	and	and	CCONJ
cana-5752	53	21	6	6	NUM
cana-5752	53	22	)	)	PUNCT
cana-5752	53	23	,	,	PUNCT
cana-5752	53	24	xgboost	xgboost	X
cana-5752	53	25	significantly	significantly	ADV
cana-5752	53	26	improves	improve	VERB
cana-5752	53	27	performance	performance	NOUN
cana-5752	53	28	.	.	PUNCT
cana-5752	54	1	recommendations	recommendation	NOUN
cana-5752	54	2	:	:	PUNCT
cana-5752	54	3	•	•	X
cana-5752	54	4	xgboost	xgboost	NOUN
cana-5752	54	5	is	be	AUX
cana-5752	54	6	clearly	clearly	ADV
cana-5752	54	7	well	well	ADV
cana-5752	54	8	-	-	PUNCT
cana-5752	54	9	suited	suited	ADJ
cana-5752	54	10	for	for	ADP
cana-5752	54	11	this	this	DET
cana-5752	54	12	task	task	NOUN
cana-5752	54	13	.	.	PUNCT
cana-5752	55	1	•	•	NUM
cana-5752	55	2	to	to	ADP
cana-5752	55	3	further	far	ADV
cana-5752	55	4	fine	fine	ADJ
cana-5752	55	5	-	-	PUNCT
cana-5752	55	6	tune	tune	NOUN
cana-5752	55	7	:	:	PUNCT
cana-5752	55	8	o	o	NOUN
cana-5752	55	9	apply	apply	VERB
cana-5752	55	10	hyperparameter	hyperparameter	NOUN
cana-5752	55	11	optimization	optimization	NOUN
cana-5752	55	12	(	(	PUNCT
cana-5752	55	13	e.g.	e.g.	ADV
cana-5752	55	14	,	,	PUNCT
cana-5752	55	15	gridsearchcv	gridsearchcv	NOUN
cana-5752	55	16	or	or	CCONJ
cana-5752	55	17	optuna	optuna	NOUN
cana-5752	55	18	)	)	PUNCT
cana-5752	55	19	.	.	PUNCT
cana-5752	56	1	o	o	PROPN
cana-5752	56	2	investigate	investigate	VERB
cana-5752	56	3	class	class	NOUN
cana-5752	56	4	4	4	NUM
cana-5752	56	5	(	(	PUNCT
cana-5752	56	6	which	which	PRON
cana-5752	56	7	still	still	ADV
cana-5752	56	8	shows	show	VERB
cana-5752	56	9	slightly	slightly	ADV
cana-5752	56	10	lower	low	ADJ
cana-5752	56	11	recall	recall	NOUN
cana-5752	56	12	)	)	PUNCT
cana-5752	56	13	for	for	ADP
cana-5752	56	14	possible	possible	ADJ
cana-5752	56	15	class	class	NOUN
cana-5752	56	16	overlap	overlap	NOUN
cana-5752	56	17	or	or	CCONJ
cana-5752	56	18	feature	feature	NOUN
cana-5752	56	19	confusion	confusion	NOUN
cana-5752	56	20	.	.	PUNCT
cana-5752	57	1	•	•	NUM
cana-5752	57	2	consider	consider	VERB
cana-5752	57	3	feature	feature	NOUN
cana-5752	57	4	importance	importance	NOUN
cana-5752	57	5	analysis	analysis	NOUN
cana-5752	57	6	to	to	PART
cana-5752	57	7	interpret	interpret	VERB
cana-5752	57	8	the	the	DET
cana-5752	57	9	model	model	NOUN
cana-5752	57	10	.	.	PUNCT
cana-5752	58	1	in	in	ADP
cana-5752	58	2	summary	summary	NOUN
cana-5752	58	3	,	,	PUNCT
cana-5752	58	4	this	this	PRON
cana-5752	58	5	xgboost	xgboost	ADV
cana-5752	58	6	classification	classification	NOUN
cana-5752	58	7	report	report	NOUN
cana-5752	58	8	demonstrates	demonstrate	VERB
cana-5752	58	9	a	a	DET
cana-5752	58	10	highly	highly	ADV
cana-5752	58	11	accurate	accurate	ADJ
cana-5752	58	12	,	,	PUNCT
cana-5752	58	13	robust	robust	ADJ
cana-5752	58	14	model	model	NOUN
cana-5752	58	15	suitable	suitable	ADJ
cana-5752	58	16	for	for	ADP
cana-5752	58	17	deployment	deployment	NOUN
cana-5752	58	18	or	or	CCONJ
cana-5752	58	19	further	further	ADJ
cana-5752	58	20	production	production	NOUN
cana-5752	58	21	testing	testing	NOUN
cana-5752	58	22	.	.	PUNCT
cana-5752	59	1	confusion	confusion	NOUN
cana-5752	59	2	matrix	matrix	NOUN
cana-5752	59	3	:	:	PUNCT
cana-5752	59	4	this	this	DET
cana-5752	59	5	image	image	NOUN
cana-5752	59	6	displays	display	VERB
cana-5752	59	7	the	the	DET
cana-5752	59	8	confusion	confusion	NOUN
cana-5752	59	9	matrix	matrix	NOUN
cana-5752	59	10	for	for	ADP
cana-5752	59	11	the	the	DET
cana-5752	59	12	xgboost	xgboost	PROPN
cana-5752	59	13	model	model	PROPN
cana-5752	59	14	,	,	PUNCT
cana-5752	59	15	offering	offer	VERB
cana-5752	59	16	a	a	DET
cana-5752	59	17	granular	granular	ADJ
cana-5752	59	18	view	view	NOUN
cana-5752	59	19	of	of	ADP
cana-5752	59	20	the	the	DET
cana-5752	59	21	model	model	NOUN
cana-5752	59	22	's	's	PART
cana-5752	59	23	prediction	prediction	NOUN
cana-5752	59	24	performance	performance	NOUN
cana-5752	59	25	across	across	ADP
cana-5752	59	26	7	7	NUM
cana-5752	59	27	classes	class	NOUN
cana-5752	59	28	(	(	PUNCT
cana-5752	59	29	labeled	label	VERB
cana-5752	59	30	0	0	NUM
cana-5752	59	31	to	to	ADP
cana-5752	59	32	6	6	NUM
cana-5752	59	33	)	)	PUNCT
cana-5752	59	34	.	.	PUNCT
cana-5752	60	1	it	it	PRON
cana-5752	60	2	complements	complement	VERB
cana-5752	60	3	the	the	DET
cana-5752	60	4	classification	classification	NOUN
cana-5752	60	5	report	report	NOUN
cana-5752	60	6	by	by	ADP
cana-5752	60	7	highlighting	highlight	VERB
cana-5752	60	8	exact	exact	ADJ
cana-5752	60	9	misclassifications	misclassification	NOUN
cana-5752	60	10	.	.	PUNCT
cana-5752	61	1	communications	communication	NOUN
cana-5752	61	2	on	on	ADP
cana-5752	61	3	applied	apply	VERB
cana-5752	61	4	nonlinear	nonlinear	ADJ
cana-5752	61	5	analysis	analysis	NOUN
cana-5752	61	6	issn	issn	NOUN
cana-5752	61	7	:	:	PUNCT
cana-5752	61	8	1074	1074	NUM
cana-5752	61	9	-	-	PUNCT
cana-5752	61	10	133x	133x	NUM
cana-5752	61	11	vol	vol	NOUN
cana-5752	61	12	32	32	NUM
cana-5752	61	13	no	no	NOUN
cana-5752	61	14	.	.	PUNCT
cana-5752	62	1	3s	3s	NUM
cana-5752	62	2	(	(	PUNCT
cana-5752	62	3	2025	2025	NUM
cana-5752	62	4	)	)	PUNCT
cana-5752	62	5	764	764	NUM
cana-5752	62	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	62	7	confusion	confusion	NOUN
cana-5752	62	8	matrix	matrix	NOUN
cana-5752	62	9	explained	explain	VERB
cana-5752	62	10	:	:	PUNCT
cana-5752	62	11	•	•	NUM
cana-5752	62	12	rows	row	NOUN
cana-5752	62	13	(	(	PUNCT
cana-5752	62	14	true	true	ADJ
cana-5752	62	15	):	):	PUNCT
cana-5752	62	16	actual	actual	ADJ
cana-5752	62	17	class	class	NOUN
cana-5752	62	18	labels	label	NOUN
cana-5752	62	19	.	.	PUNCT
cana-5752	63	1	•	•	NUM
cana-5752	63	2	columns	column	NOUN
cana-5752	63	3	(	(	PUNCT
cana-5752	63	4	predicted	predict	VERB
cana-5752	63	5	):	):	PUNCT
cana-5752	63	6	labels	label	NOUN
cana-5752	63	7	predicted	predict	VERB
cana-5752	63	8	by	by	ADP
cana-5752	63	9	the	the	DET
cana-5752	63	10	model	model	NOUN
cana-5752	63	11	.	.	PUNCT
cana-5752	64	1	•	•	NUM
cana-5752	64	2	diagonal	diagonal	ADJ
cana-5752	64	3	values	value	NOUN
cana-5752	64	4	:	:	PUNCT
cana-5752	64	5	correct	correct	ADJ
cana-5752	64	6	predictions	prediction	NOUN
cana-5752	64	7	—	—	PUNCT
cana-5752	64	8	the	the	PRON
cana-5752	64	9	higher	high	ADJ
cana-5752	64	10	,	,	PUNCT
cana-5752	64	11	the	the	DET
cana-5752	64	12	better	well	ADJ
cana-5752	64	13	.	.	PUNCT
cana-5752	65	1	•	•	NOUN
cana-5752	65	2	off	off	ADP
cana-5752	65	3	-	-	PUNCT
cana-5752	65	4	diagonal	diagonal	ADJ
cana-5752	65	5	values	value	NOUN
cana-5752	65	6	:	:	PUNCT
cana-5752	65	7	misclassifications	misclassification	NOUN
cana-5752	65	8	—	—	PUNCT
cana-5752	65	9	the	the	PRON
cana-5752	65	10	lower	low	ADJ
cana-5752	65	11	,	,	PUNCT
cana-5752	65	12	the	the	PRON
cana-5752	65	13	better	well	ADJ
cana-5752	65	14	.	.	PUNCT
cana-5752	66	1	correct	correct	ADJ
cana-5752	66	2	predictions	prediction	NOUN
cana-5752	66	3	(	(	PUNCT
cana-5752	66	4	diagonal	diagonal	ADJ
cana-5752	66	5	values	value	NOUN
cana-5752	66	6	):	):	PUNCT
cana-5752	66	7	class	class	NOUN
cana-5752	66	8	correct	correct	ADJ
cana-5752	66	9	predictions	prediction	NOUN
cana-5752	66	10	0	0	NUM
cana-5752	66	11	1337	1337	NUM
cana-5752	66	12	/	/	SYM
cana-5752	66	13	1341	1341	NUM
cana-5752	66	14	1	1	NUM
cana-5752	66	15	1336	1336	NUM
cana-5752	66	16	/	/	SYM
cana-5752	66	17	1341	1341	NUM
cana-5752	66	18	2	2	NUM
cana-5752	66	19	1307	1307	NUM
cana-5752	66	20	/	/	SYM
cana-5752	66	21	1341	1341	NUM
cana-5752	66	22	3	3	NUM
cana-5752	66	23	1340	1340	NUM
cana-5752	66	24	/	/	SYM
cana-5752	66	25	1341	1341	NUM
cana-5752	66	26	4	4	NUM
cana-5752	66	27	1150	1150	NUM
cana-5752	66	28	/	/	SYM
cana-5752	66	29	1341	1341	NUM
cana-5752	66	30	5	5	NUM
cana-5752	66	31	1341	1341	NUM
cana-5752	66	32	/	/	SYM
cana-5752	66	33	1341	1341	NUM
cana-5752	66	34	6	6	NUM
cana-5752	66	35	1304	1304	NUM
cana-5752	66	36	/	/	SYM
cana-5752	66	37	1341	1341	NUM
cana-5752	66	38	most	most	ADJ
cana-5752	66	39	classes	class	NOUN
cana-5752	66	40	are	be	AUX
cana-5752	66	41	classified	classify	VERB
cana-5752	66	42	with	with	ADP
cana-5752	66	43	near	near	ADJ
cana-5752	66	44	perfection	perfection	NOUN
cana-5752	66	45	.	.	PUNCT
cana-5752	67	1	class	class	NOUN
cana-5752	67	2	5	5	NUM
cana-5752	67	3	has	have	VERB
cana-5752	67	4	zero	zero	NUM
cana-5752	67	5	misclassifications	misclassification	NOUN
cana-5752	67	6	,	,	PUNCT
cana-5752	67	7	and	and	CCONJ
cana-5752	67	8	classes	class	NOUN
cana-5752	67	9	0	0	NUM
cana-5752	67	10	,	,	PUNCT
cana-5752	67	11	1	1	NUM
cana-5752	67	12	,	,	PUNCT
cana-5752	67	13	and	and	CCONJ
cana-5752	67	14	3	3	NUM
cana-5752	67	15	have	have	VERB
cana-5752	67	16	near	near	ADV
cana-5752	67	17	-	-	PUNCT
cana-5752	67	18	perfect	perfect	ADJ
cana-5752	67	19	performance	performance	NOUN
cana-5752	67	20	.	.	PUNCT
cana-5752	68	1	key	key	ADJ
cana-5752	68	2	misclassifications	misclassification	NOUN
cana-5752	68	3	:	:	PUNCT
cana-5752	68	4	•	•	NUM
cana-5752	68	5	class	class	NOUN
cana-5752	68	6	4	4	NUM
cana-5752	68	7	shows	show	VERB
cana-5752	68	8	the	the	DET
cana-5752	68	9	most	most	ADJ
cana-5752	68	10	confusion	confusion	NOUN
cana-5752	68	11	:	:	PUNCT
cana-5752	68	12	o	o	NOUN
cana-5752	68	13	predicted	predict	VERB
cana-5752	68	14	as	as	ADP
cana-5752	68	15	class	class	NOUN
cana-5752	68	16	2	2	NUM
cana-5752	68	17	:	:	SYM
cana-5752	68	18	60	60	NUM
cana-5752	68	19	times	time	NOUN
cana-5752	68	20	o	o	NOUN
cana-5752	68	21	predicted	predict	VERB
cana-5752	68	22	as	as	ADP
cana-5752	68	23	class	class	NOUN
cana-5752	68	24	6	6	NUM
cana-5752	68	25	:	:	SYM
cana-5752	68	26	105	105	NUM
cana-5752	68	27	times	time	NOUN
cana-5752	68	28	o	o	PROPN
cana-5752	68	29	total	total	ADJ
cana-5752	68	30	misclassifications	misclassification	NOUN
cana-5752	68	31	:	:	PUNCT
cana-5752	68	32	191	191	NUM
cana-5752	68	33	•	•	NOUN
cana-5752	68	34	class	class	NOUN
cana-5752	68	35	2	2	NUM
cana-5752	68	36	has	have	VERB
cana-5752	68	37	minor	minor	ADJ
cana-5752	68	38	confusion	confusion	NOUN
cana-5752	68	39	:	:	PUNCT
cana-5752	68	40	o	o	X
cana-5752	68	41	misclassified	misclassifie	VERB
cana-5752	68	42	as	as	ADP
cana-5752	68	43	4	4	NUM
cana-5752	68	44	:	:	SYM
cana-5752	68	45	12	12	NUM
cana-5752	68	46	times	time	NOUN
cana-5752	68	47	o	o	NOUN
cana-5752	68	48	misclassified	misclassifie	VERB
cana-5752	68	49	as	as	ADP
cana-5752	68	50	6	6	NUM
cana-5752	68	51	:	:	SYM
cana-5752	68	52	15	15	NUM
cana-5752	68	53	times	time	NOUN
cana-5752	68	54	•	•	NUM
cana-5752	68	55	class	class	NOUN
cana-5752	68	56	6	6	NUM
cana-5752	68	57	misclassified	misclassifie	VERB
cana-5752	68	58	as	as	ADP
cana-5752	68	59	4	4	NUM
cana-5752	68	60	:	:	SYM
cana-5752	68	61	24	24	NUM
cana-5752	68	62	times	time	NOUN
cana-5752	68	63	this	this	PRON
cana-5752	68	64	aligns	align	VERB
cana-5752	68	65	with	with	ADP
cana-5752	68	66	the	the	DET
cana-5752	68	67	classification	classification	NOUN
cana-5752	68	68	report	report	NOUN
cana-5752	68	69	,	,	PUNCT
cana-5752	68	70	where	where	SCONJ
cana-5752	68	71	class	class	NOUN
cana-5752	68	72	4	4	NUM
cana-5752	68	73	had	have	VERB
cana-5752	68	74	lower	low	ADJ
cana-5752	68	75	recall	recall	NOUN
cana-5752	68	76	(	(	PUNCT
cana-5752	68	77	0.86	0.86	NUM
cana-5752	68	78	)	)	PUNCT
cana-5752	68	79	.	.	PUNCT
cana-5752	69	1	communications	communication	NOUN
cana-5752	69	2	on	on	ADP
cana-5752	69	3	applied	apply	VERB
cana-5752	69	4	nonlinear	nonlinear	ADJ
cana-5752	69	5	analysis	analysis	NOUN
cana-5752	69	6	issn	issn	NOUN
cana-5752	69	7	:	:	PUNCT
cana-5752	69	8	1074	1074	NUM
cana-5752	69	9	-	-	PUNCT
cana-5752	69	10	133x	133x	NUM
cana-5752	69	11	vol	vol	NOUN
cana-5752	69	12	32	32	NUM
cana-5752	69	13	no	no	NOUN
cana-5752	69	14	.	.	PUNCT
cana-5752	70	1	3s	3s	NUM
cana-5752	70	2	(	(	PUNCT
cana-5752	70	3	2025	2025	NUM
cana-5752	70	4	)	)	PUNCT
cana-5752	70	5	765	765	NUM
cana-5752	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	70	7	summary	summary	NOUN
cana-5752	70	8	&	&	CCONJ
cana-5752	70	9	insights	insight	NOUN
cana-5752	70	10	:	:	PUNCT
cana-5752	70	11	•	•	ADP
cana-5752	70	12	the	the	DET
cana-5752	70	13	xgboost	xgboost	PROPN
cana-5752	70	14	model	model	NOUN
cana-5752	70	15	performs	perform	VERB
cana-5752	70	16	excellently	excellently	ADV
cana-5752	70	17	overall	overall	ADJ
cana-5752	70	18	,	,	PUNCT
cana-5752	70	19	as	as	SCONJ
cana-5752	70	20	indicated	indicate	VERB
cana-5752	70	21	by	by	ADP
cana-5752	70	22	strong	strong	ADJ
cana-5752	70	23	diagonal	diagonal	ADJ
cana-5752	70	24	dominance	dominance	NOUN
cana-5752	70	25	.	.	PUNCT
cana-5752	71	1	•	•	NOUN
cana-5752	71	2	misclassifications	misclassification	NOUN
cana-5752	71	3	are	be	AUX
cana-5752	71	4	minimal	minimal	ADJ
cana-5752	71	5	,	,	PUNCT
cana-5752	71	6	mainly	mainly	ADV
cana-5752	71	7	concentrated	concentrate	VERB
cana-5752	71	8	in	in	ADP
cana-5752	71	9	class	class	NOUN
cana-5752	71	10	4	4	NUM
cana-5752	71	11	,	,	PUNCT
cana-5752	71	12	which	which	PRON
cana-5752	71	13	may	may	AUX
cana-5752	71	14	have	have	VERB
cana-5752	71	15	feature	feature	NOUN
cana-5752	71	16	overlap	overlap	NOUN
cana-5752	71	17	with	with	ADP
cana-5752	71	18	classes	class	NOUN
cana-5752	71	19	2	2	NUM
cana-5752	71	20	and	and	CCONJ
cana-5752	71	21	6	6	NUM
cana-5752	71	22	.	.	NOUN
cana-5752	72	1	•	•	NUM
cana-5752	72	2	performance	performance	NOUN
cana-5752	72	3	far	far	ADV
cana-5752	72	4	exceeds	exceed	VERB
cana-5752	72	5	that	that	PRON
cana-5752	72	6	of	of	ADP
cana-5752	72	7	the	the	DET
cana-5752	72	8	decision	decision	NOUN
cana-5752	72	9	tree	tree	NOUN
cana-5752	72	10	model	model	NOUN
cana-5752	72	11	.	.	PUNCT
cana-5752	73	1	suggestions	suggestion	NOUN
cana-5752	73	2	for	for	ADP
cana-5752	73	3	improvement	improvement	NOUN
cana-5752	73	4	:	:	PUNCT
cana-5752	73	5	•	•	NUM
cana-5752	73	6	analyze	analyze	NOUN
cana-5752	73	7	feature	feature	NOUN
cana-5752	73	8	distribution	distribution	NOUN
cana-5752	73	9	between	between	ADP
cana-5752	73	10	classes	class	NOUN
cana-5752	73	11	4	4	NUM
cana-5752	73	12	,	,	PUNCT
cana-5752	73	13	2	2	NUM
cana-5752	73	14	,	,	PUNCT
cana-5752	73	15	and	and	CCONJ
cana-5752	73	16	6	6	NUM
cana-5752	73	17	to	to	PART
cana-5752	73	18	identify	identify	VERB
cana-5752	73	19	overlap	overlap	NOUN
cana-5752	73	20	.	.	PUNCT
cana-5752	74	1	•	•	NOUN
cana-5752	74	2	try	try	VERB
cana-5752	74	3	adding	add	VERB
cana-5752	74	4	regularization	regularization	NOUN
cana-5752	74	5	or	or	CCONJ
cana-5752	74	6	class	class	NOUN
cana-5752	74	7	-	-	PUNCT
cana-5752	74	8	weight	weight	NOUN
cana-5752	74	9	tuning	tuning	NOUN
cana-5752	74	10	to	to	PART
cana-5752	74	11	help	help	VERB
cana-5752	74	12	the	the	DET
cana-5752	74	13	model	model	NOUN
cana-5752	74	14	focus	focus	VERB
cana-5752	74	15	more	more	ADV
cana-5752	74	16	on	on	ADP
cana-5752	74	17	harder	hard	ADJ
cana-5752	74	18	-	-	PUNCT
cana-5752	74	19	to	to	AUX
cana-5752	74	20	-	-	PUNCT
cana-5752	74	21	distinguish	distinguish	ADJ
cana-5752	74	22	classes	class	NOUN
cana-5752	74	23	.	.	PUNCT
cana-5752	75	1	•	•	NUM
cana-5752	75	2	use	use	VERB
cana-5752	75	3	shap	shap	NOUN
cana-5752	75	4	values	value	NOUN
cana-5752	75	5	or	or	CCONJ
cana-5752	75	6	feature	feature	VERB
cana-5752	75	7	importance	importance	NOUN
cana-5752	75	8	analysis	analysis	NOUN
cana-5752	75	9	to	to	PART
cana-5752	75	10	interpret	interpret	VERB
cana-5752	75	11	why	why	SCONJ
cana-5752	75	12	class	class	NOUN
cana-5752	75	13	4	4	NUM
cana-5752	75	14	is	be	AUX
cana-5752	75	15	more	more	ADJ
cana-5752	75	16	error	error	NOUN
cana-5752	75	17	-	-	PUNCT
cana-5752	75	18	prone	prone	ADJ
cana-5752	75	19	.	.	PUNCT
cana-5752	76	1	the	the	DET
cana-5752	76	2	confusion	confusion	NOUN
cana-5752	76	3	matrix	matrix	NOUN
cana-5752	76	4	confirms	confirm	VERB
cana-5752	76	5	that	that	SCONJ
cana-5752	76	6	xgboost	xgboost	PROPN
cana-5752	76	7	is	be	AUX
cana-5752	76	8	highly	highly	ADV
cana-5752	76	9	effective	effective	ADJ
cana-5752	76	10	,	,	PUNCT
cana-5752	76	11	with	with	ADP
cana-5752	76	12	strong	strong	ADJ
cana-5752	76	13	generalization	generalization	NOUN
cana-5752	76	14	and	and	CCONJ
cana-5752	76	15	very	very	ADV
cana-5752	76	16	few	few	ADJ
cana-5752	76	17	errors	error	NOUN
cana-5752	76	18	.	.	PUNCT
cana-5752	77	1	its	its	PRON
cana-5752	77	2	robustness	robustness	NOUN
cana-5752	77	3	and	and	CCONJ
cana-5752	77	4	precision	precision	NOUN
cana-5752	77	5	make	make	VERB
cana-5752	77	6	it	it	PRON
cana-5752	77	7	an	an	DET
cana-5752	77	8	ideal	ideal	ADJ
cana-5752	77	9	candidate	candidate	NOUN
cana-5752	77	10	for	for	ADP
cana-5752	77	11	deployment	deployment	NOUN
cana-5752	77	12	or	or	CCONJ
cana-5752	77	13	integration	integration	NOUN
cana-5752	77	14	into	into	ADP
cana-5752	77	15	a	a	DET
cana-5752	77	16	real	real	ADJ
cana-5752	77	17	-	-	PUNCT
cana-5752	77	18	time	time	NOUN
cana-5752	77	19	prediction	prediction	NOUN
cana-5752	77	20	system	system	NOUN
cana-5752	77	21	.	.	PUNCT
cana-5752	78	1	roc	roc	PROPN
cana-5752	78	2	curve	curve	PROPN
cana-5752	78	3	:	:	PUNCT
cana-5752	78	4	this	this	DET
cana-5752	78	5	image	image	NOUN
cana-5752	78	6	presents	present	VERB
cana-5752	78	7	the	the	DET
cana-5752	78	8	multiclass	multiclass	ADJ
cana-5752	78	9	roc	roc	PROPN
cana-5752	78	10	(	(	PUNCT
cana-5752	78	11	receiver	receiver	ADV
cana-5752	78	12	operating	operate	VERB
cana-5752	78	13	characteristic	characteristic	NOUN
cana-5752	78	14	)	)	PUNCT
cana-5752	78	15	curve	curve	NOUN
cana-5752	78	16	for	for	ADP
cana-5752	78	17	the	the	DET
cana-5752	78	18	xgboost	xgboost	PROPN
cana-5752	78	19	classifier	classifier	NOUN
cana-5752	78	20	,	,	PUNCT
cana-5752	78	21	evaluating	evaluate	VERB
cana-5752	78	22	its	its	PRON
cana-5752	78	23	performance	performance	NOUN
cana-5752	78	24	across	across	ADP
cana-5752	78	25	7	7	NUM
cana-5752	78	26	classes	class	NOUN
cana-5752	78	27	(	(	PUNCT
cana-5752	78	28	0	0	NUM
cana-5752	78	29	to	to	PART
cana-5752	78	30	6	6	NUM
cana-5752	78	31	)	)	PUNCT
cana-5752	78	32	.	.	PUNCT
cana-5752	79	1	communications	communication	NOUN
cana-5752	79	2	on	on	ADP
cana-5752	79	3	applied	apply	VERB
cana-5752	79	4	nonlinear	nonlinear	ADJ
cana-5752	79	5	analysis	analysis	NOUN
cana-5752	79	6	issn	issn	NOUN
cana-5752	79	7	:	:	PUNCT
cana-5752	79	8	1074	1074	NUM
cana-5752	79	9	-	-	PUNCT
cana-5752	79	10	133x	133x	NUM
cana-5752	79	11	vol	vol	NOUN
cana-5752	79	12	32	32	NUM
cana-5752	79	13	no	no	NOUN
cana-5752	79	14	.	.	PUNCT
cana-5752	80	1	3s	3s	NUM
cana-5752	80	2	(	(	PUNCT
cana-5752	80	3	2025	2025	NUM
cana-5752	80	4	)	)	PUNCT
cana-5752	80	5	766	766	NUM
cana-5752	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	80	7	what	what	PRON
cana-5752	80	8	is	be	AUX
cana-5752	80	9	an	an	DET
cana-5752	80	10	roc	roc	PROPN
cana-5752	80	11	curve	curve	NOUN
cana-5752	80	12	?	?	PUNCT
cana-5752	81	1	•	•	NUM
cana-5752	81	2	the	the	DET
cana-5752	81	3	roc	roc	PROPN
cana-5752	81	4	curve	curve	NOUN
cana-5752	81	5	plots	plot	VERB
cana-5752	81	6	the	the	DET
cana-5752	81	7	true	true	ADJ
cana-5752	81	8	positive	positive	ADJ
cana-5752	81	9	rate	rate	NOUN
cana-5752	81	10	(	(	PUNCT
cana-5752	81	11	tpr	tpr	NOUN
cana-5752	81	12	)	)	PUNCT
cana-5752	81	13	against	against	ADP
cana-5752	81	14	the	the	DET
cana-5752	81	15	false	false	ADJ
cana-5752	81	16	positive	positive	ADJ
cana-5752	81	17	rate	rate	NOUN
cana-5752	81	18	(	(	PUNCT
cana-5752	81	19	fpr	fpr	NOUN
cana-5752	81	20	)	)	PUNCT
cana-5752	81	21	at	at	ADP
cana-5752	81	22	various	various	ADJ
cana-5752	81	23	classification	classification	NOUN
cana-5752	81	24	thresholds	threshold	NOUN
cana-5752	81	25	.	.	PUNCT
cana-5752	82	1	•	•	NUM
cana-5752	82	2	auc	auc	NOUN
cana-5752	82	3	(	(	PUNCT
cana-5752	82	4	area	area	NOUN
cana-5752	82	5	under	under	ADP
cana-5752	82	6	the	the	DET
cana-5752	82	7	curve	curve	NOUN
cana-5752	82	8	)	)	PUNCT
cana-5752	82	9	quantifies	quantifie	NOUN
cana-5752	82	10	the	the	DET
cana-5752	82	11	overall	overall	ADJ
cana-5752	82	12	ability	ability	NOUN
cana-5752	82	13	of	of	ADP
cana-5752	82	14	the	the	DET
cana-5752	82	15	classifier	classifier	NOUN
cana-5752	82	16	to	to	PART
cana-5752	82	17	distinguish	distinguish	VERB
cana-5752	82	18	between	between	ADP
cana-5752	82	19	classes	class	NOUN
cana-5752	82	20	.	.	PUNCT
cana-5752	83	1	o	o	X
cana-5752	83	2	auc	auc	NOUN
cana-5752	83	3	=	=	SYM
cana-5752	83	4	1.00	1.00	NUM
cana-5752	83	5	→	→	SYM
cana-5752	83	6	perfect	perfect	ADJ
cana-5752	83	7	classification	classification	NOUN
cana-5752	83	8	o	o	NOUN
cana-5752	83	9	auc	auc	NOUN
cana-5752	84	1	≈	≈	NOUN
cana-5752	84	2	0.5	0.5	NUM
cana-5752	84	3	→	→	SYM
cana-5752	84	4	random	random	ADJ
cana-5752	84	5	guessing	guessing	NOUN
cana-5752	84	6	interpretation	interpretation	NOUN
cana-5752	84	7	of	of	ADP
cana-5752	84	8	this	this	DET
cana-5752	84	9	multiclass	multiclass	ADJ
cana-5752	84	10	roc	roc	PROPN
cana-5752	84	11	curve	curve	NOUN
cana-5752	84	12	:	:	PUNCT
cana-5752	84	13	class	class	NOUN
cana-5752	84	14	auc	auc	NOUN
cana-5752	84	15	value	value	NOUN
cana-5752	84	16	meaning	mean	VERB
cana-5752	84	17	class	class	NOUN
cana-5752	84	18	0	0	NUM
cana-5752	84	19	1.00	1.00	NUM
cana-5752	84	20	perfect	perfect	ADJ
cana-5752	84	21	classification	classification	NOUN
cana-5752	84	22	class	class	NOUN
cana-5752	84	23	1	1	NUM
cana-5752	84	24	1.00	1.00	NUM
cana-5752	84	25	perfect	perfect	ADJ
cana-5752	84	26	classification	classification	NOUN
cana-5752	84	27	class	class	NOUN
cana-5752	84	28	2	2	NUM
cana-5752	84	29	1.00	1.00	NUM
cana-5752	84	30	perfect	perfect	ADJ
cana-5752	84	31	classification	classification	NOUN
cana-5752	84	32	class	class	NOUN
cana-5752	84	33	3	3	NUM
cana-5752	84	34	1.00	1.00	NUM
cana-5752	84	35	perfect	perfect	ADJ
cana-5752	84	36	classification	classification	NOUN
cana-5752	84	37	class	class	NOUN
cana-5752	84	38	4	4	NUM
cana-5752	84	39	0.99	0.99	NUM
cana-5752	84	40	near	near	ADV
cana-5752	84	41	-	-	PUNCT
cana-5752	84	42	perfect	perfect	ADJ
cana-5752	84	43	;	;	PUNCT
cana-5752	84	44	slight	slight	ADJ
cana-5752	84	45	confusion	confusion	NOUN
cana-5752	84	46	exists	exist	VERB
cana-5752	84	47	class	class	NOUN
cana-5752	84	48	5	5	NUM
cana-5752	84	49	1.00	1.00	NUM
cana-5752	84	50	perfect	perfect	ADJ
cana-5752	84	51	classification	classification	NOUN
cana-5752	84	52	class	class	NOUN
cana-5752	84	53	6	6	NUM
cana-5752	84	54	1.00	1.00	NUM
cana-5752	84	55	perfect	perfect	ADJ
cana-5752	84	56	classification	classification	NOUN
cana-5752	84	57	all	all	DET
cana-5752	84	58	curves	curve	NOUN
cana-5752	84	59	are	be	AUX
cana-5752	84	60	hugging	hug	VERB
cana-5752	84	61	the	the	DET
cana-5752	84	62	top	top	ADV
cana-5752	84	63	-	-	PUNCT
cana-5752	84	64	left	left	ADJ
cana-5752	84	65	corner	corner	NOUN
cana-5752	84	66	,	,	PUNCT
cana-5752	84	67	indicating	indicate	VERB
cana-5752	84	68	:	:	PUNCT
cana-5752	84	69	•	•	ADP
cana-5752	84	70	very	very	ADV
cana-5752	84	71	low	low	ADJ
cana-5752	84	72	false	false	ADJ
cana-5752	84	73	positive	positive	ADJ
cana-5752	84	74	rates	rate	NOUN
cana-5752	84	75	•	•	ADV
cana-5752	84	76	very	very	ADV
cana-5752	84	77	high	high	ADJ
cana-5752	84	78	true	true	ADJ
cana-5752	84	79	positive	positive	ADJ
cana-5752	84	80	rates	rate	NOUN
cana-5752	84	81	•	•	ADV
cana-5752	84	82	overall	overall	ADJ
cana-5752	84	83	exceptional	exceptional	ADJ
cana-5752	84	84	classification	classification	NOUN
cana-5752	84	85	performance	performance	NOUN
cana-5752	84	86	insights	insight	NOUN
cana-5752	84	87	&	&	CCONJ
cana-5752	84	88	implications	implication	NOUN
cana-5752	84	89	:	:	PUNCT
cana-5752	84	90	•	•	ADP
cana-5752	84	91	the	the	DET
cana-5752	84	92	xgboost	xgboost	PROPN
cana-5752	84	93	model	model	NOUN
cana-5752	84	94	demonstrates	demonstrate	VERB
cana-5752	84	95	near	near	ADP
cana-5752	84	96	-	-	PUNCT
cana-5752	84	97	flawless	flawless	NOUN
cana-5752	84	98	discrimination	discrimination	NOUN
cana-5752	84	99	ability	ability	NOUN
cana-5752	84	100	across	across	ADP
cana-5752	84	101	all	all	DET
cana-5752	84	102	classes	class	NOUN
cana-5752	84	103	.	.	PUNCT
cana-5752	85	1	•	•	NUM
cana-5752	85	2	class	class	NOUN
cana-5752	85	3	4	4	NUM
cana-5752	85	4	has	have	VERB
cana-5752	85	5	a	a	DET
cana-5752	85	6	slightly	slightly	ADV
cana-5752	85	7	lower	low	ADJ
cana-5752	85	8	auc	auc	NOUN
cana-5752	85	9	(	(	PUNCT
cana-5752	85	10	0.99	0.99	NUM
cana-5752	85	11	)	)	PUNCT
cana-5752	85	12	,	,	PUNCT
cana-5752	85	13	consistent	consistent	ADJ
cana-5752	85	14	with	with	ADP
cana-5752	85	15	earlier	early	ADJ
cana-5752	85	16	findings	finding	NOUN
cana-5752	85	17	from	from	ADP
cana-5752	85	18	the	the	DET
cana-5752	85	19	confusion	confusion	NOUN
cana-5752	85	20	matrix	matrix	NOUN
cana-5752	85	21	and	and	CCONJ
cana-5752	85	22	classification	classification	NOUN
cana-5752	85	23	report	report	NOUN
cana-5752	85	24	,	,	PUNCT
cana-5752	85	25	where	where	SCONJ
cana-5752	85	26	its	its	PRON
cana-5752	85	27	recall	recall	NOUN
cana-5752	85	28	was	be	AUX
cana-5752	85	29	slightly	slightly	ADV
cana-5752	85	30	lower	low	ADJ
cana-5752	85	31	.	.	PUNCT
cana-5752	86	1	•	•	NUM
cana-5752	86	2	the	the	DET
cana-5752	86	3	presence	presence	NOUN
cana-5752	86	4	of	of	ADP
cana-5752	86	5	multiple	multiple	ADJ
cana-5752	86	6	aucs	aucs	NOUN
cana-5752	86	7	equal	equal	ADJ
cana-5752	86	8	to	to	ADP
cana-5752	86	9	1.00	1.00	NUM
cana-5752	86	10	is	be	AUX
cana-5752	86	11	rare	rare	ADJ
cana-5752	86	12	and	and	CCONJ
cana-5752	86	13	indicative	indicative	ADJ
cana-5752	86	14	of	of	ADP
cana-5752	86	15	a	a	DET
cana-5752	86	16	highly	highly	ADV
cana-5752	86	17	optimized	optimize	VERB
cana-5752	86	18	or	or	CCONJ
cana-5752	86	19	ideal	ideal	ADJ
cana-5752	86	20	scenario	scenario	NOUN
cana-5752	86	21	—	—	PUNCT
cana-5752	86	22	either	either	CCONJ
cana-5752	86	23	the	the	DET
cana-5752	86	24	dataset	dataset	NOUN
cana-5752	86	25	is	be	AUX
cana-5752	86	26	well	well	ADV
cana-5752	86	27	-	-	PUNCT
cana-5752	86	28	structured	structure	VERB
cana-5752	86	29	and	and	CCONJ
cana-5752	86	30	separable	separable	NOUN
cana-5752	86	31	or	or	CCONJ
cana-5752	86	32	the	the	DET
cana-5752	86	33	model	model	NOUN
cana-5752	86	34	has	have	AUX
cana-5752	86	35	been	be	AUX
cana-5752	86	36	finely	finely	ADV
cana-5752	86	37	tuned	tune	VERB
cana-5752	86	38	.	.	PUNCT
cana-5752	87	1	communications	communication	NOUN
cana-5752	87	2	on	on	ADP
cana-5752	87	3	applied	apply	VERB
cana-5752	87	4	nonlinear	nonlinear	ADJ
cana-5752	87	5	analysis	analysis	NOUN
cana-5752	87	6	issn	issn	NOUN
cana-5752	87	7	:	:	PUNCT
cana-5752	87	8	1074	1074	NUM
cana-5752	87	9	-	-	PUNCT
cana-5752	87	10	133x	133x	NUM
cana-5752	87	11	vol	vol	NOUN
cana-5752	87	12	32	32	NUM
cana-5752	87	13	no	no	NOUN
cana-5752	87	14	.	.	PUNCT
cana-5752	88	1	3s	3s	NUM
cana-5752	88	2	(	(	PUNCT
cana-5752	88	3	2025	2025	NUM
cana-5752	88	4	)	)	PUNCT
cana-5752	88	5	767	767	NUM
cana-5752	88	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5752	88	7	final	final	ADJ
cana-5752	88	8	thoughts	thought	NOUN
cana-5752	88	9	&	&	CCONJ
cana-5752	88	10	recommendations	recommendation	NOUN
cana-5752	88	11	:	:	PUNCT
cana-5752	88	12	•	•	ADP
cana-5752	88	13	these	these	DET
cana-5752	88	14	results	result	NOUN
cana-5752	88	15	suggest	suggest	VERB
cana-5752	88	16	that	that	SCONJ
cana-5752	88	17	xgboost	xgboost	ADV
cana-5752	88	18	is	be	AUX
cana-5752	88	19	extremely	extremely	ADV
cana-5752	88	20	effective	effective	ADJ
cana-5752	88	21	for	for	ADP
cana-5752	88	22	this	this	DET
cana-5752	88	23	classification	classification	NOUN
cana-5752	88	24	task	task	NOUN
cana-5752	88	25	.	.	PUNCT
cana-5752	89	1	•	•	NOUN
cana-5752	89	2	if	if	SCONJ
cana-5752	89	3	this	this	PRON
cana-5752	89	4	is	be	AUX
cana-5752	89	5	a	a	DET
cana-5752	89	6	real	real	ADJ
cana-5752	89	7	-	-	PUNCT
cana-5752	89	8	world	world	NOUN
cana-5752	89	9	application	application	NOUN
cana-5752	89	10	,	,	PUNCT
cana-5752	89	11	it	it	PRON
cana-5752	89	12	's	be	AUX
cana-5752	89	13	worth	worth	ADJ
cana-5752	89	14	double	double	ADJ
cana-5752	89	15	-	-	PUNCT
cana-5752	89	16	checking	checking	NOUN
cana-5752	89	17	:	:	PUNCT
cana-5752	89	18	o	o	NOUN
cana-5752	89	19	for	for	ADP
cana-5752	89	20	overfitting	overfitte	VERB
cana-5752	89	21	:	:	PUNCT
cana-5752	89	22	try	try	VERB
cana-5752	89	23	cross	cross	ADJ
cana-5752	89	24	-	-	ADJ
cana-5752	89	25	validation	validation	ADJ
cana-5752	89	26	or	or	CCONJ
cana-5752	89	27	use	use	VERB
cana-5752	89	28	unseen	unseen	ADJ
cana-5752	89	29	test	test	NOUN
cana-5752	89	30	data	datum	NOUN
cana-5752	89	31	.	.	PUNCT
cana-5752	90	1	o	o	NOUN
cana-5752	90	2	for	for	ADP
cana-5752	90	3	data	datum	NOUN
cana-5752	90	4	leakage	leakage	NOUN
cana-5752	90	5	:	:	PUNCT
cana-5752	90	6	ensure	ensure	VERB
cana-5752	90	7	no	no	DET
cana-5752	90	8	information	information	NOUN
cana-5752	90	9	from	from	ADP
cana-5752	90	10	the	the	DET
cana-5752	90	11	target	target	NOUN
cana-5752	90	12	variable	variable	ADJ
cana-5752	90	13	leaks	leak	NOUN
cana-5752	90	14	into	into	ADP
cana-5752	90	15	features	feature	NOUN
cana-5752	90	16	.	.	PUNCT
cana-5752	91	1	•	•	INTJ
cana-5752	91	2	if	if	SCONJ
cana-5752	91	3	verified	verify	VERB
cana-5752	91	4	,	,	PUNCT
cana-5752	91	5	this	this	DET
cana-5752	91	6	model	model	NOUN
cana-5752	91	7	is	be	AUX
cana-5752	91	8	ready	ready	ADJ
cana-5752	91	9	for	for	ADP
cana-5752	91	10	deployment	deployment	NOUN
cana-5752	91	11	or	or	CCONJ
cana-5752	91	12	real	real	ADJ
cana-5752	91	13	-	-	PUNCT
cana-5752	91	14	time	time	NOUN
cana-5752	91	15	usage	usage	NOUN
cana-5752	91	16	.	.	PUNCT
cana-5752	92	1	the	the	DET
cana-5752	92	2	multiclass	multiclass	ADJ
cana-5752	92	3	roc	roc	PROPN
cana-5752	92	4	curve	curve	NOUN
cana-5752	92	5	with	with	ADP
cana-5752	92	6	aucs	aucs	PROPN
cana-5752	92	7	close	close	ADJ
cana-5752	92	8	to	to	ADP
cana-5752	92	9	or	or	CCONJ
cana-5752	92	10	equal	equal	ADJ
cana-5752	92	11	to	to	ADP
cana-5752	92	12	1.00	1.00	NUM
cana-5752	92	13	reinforces	reinforce	NOUN
cana-5752	92	14	that	that	SCONJ
cana-5752	92	15	the	the	DET
cana-5752	92	16	xgboost	xgboost	PROPN
cana-5752	92	17	classifier	classifier	NOUN
cana-5752	92	18	is	be	AUX
cana-5752	92	19	performing	perform	VERB
cana-5752	92	20	with	with	ADP
cana-5752	92	21	high	high	ADJ
cana-5752	92	22	precision	precision	NOUN
cana-5752	92	23	,	,	PUNCT
cana-5752	92	24	sensitivity	sensitivity	NOUN
cana-5752	92	25	,	,	PUNCT
cana-5752	92	26	and	and	CCONJ
cana-5752	92	27	reliability	reliability	NOUN
cana-5752	92	28	across	across	ADP
cana-5752	92	29	all	all	DET
cana-5752	92	30	classes	class	NOUN
cana-5752	92	31	.	.	PUNCT
cana-5752	93	1	this	this	PRON
cana-5752	93	2	is	be	AUX
cana-5752	93	3	a	a	DET
cana-5752	93	4	textbook	textbook	NOUN
cana-5752	93	5	example	example	NOUN
cana-5752	93	6	of	of	ADP
cana-5752	93	7	an	an	DET
cana-5752	93	8	ideal	ideal	ADJ
cana-5752	93	9	model	model	NOUN
cana-5752	93	10	evaluation	evaluation	NOUN
cana-5752	93	11	result	result	NOUN
cana-5752	93	12	.	.	PUNCT
cana-5752	94	1	5	5	X
cana-5752	94	2	.	.	X
cana-5752	94	3	conclusions	conclusion	NOUN
cana-5752	94	4	and	and	CCONJ
cana-5752	94	5	future	future	ADJ
cana-5752	94	6	work	work	NOUN
cana-5752	94	7	conclusion	conclusion	NOUN
cana-5752	94	8	:	:	PUNCT
cana-5752	94	9	in	in	ADP
cana-5752	94	10	diagram	diagram	NOUN
cana-5752	94	11	,	,	PUNCT
cana-5752	94	12	significant	significant	ADJ
cana-5752	94	13	learning	learning	NOUN
cana-5752	94	14	-	-	PUNCT
cana-5752	94	15	based	base	VERB
cana-5752	94	16	systems	system	NOUN
cana-5752	94	17	have	have	AUX
cana-5752	94	18	outlined	outline	VERB
cana-5752	94	19	basic	basic	ADJ
cana-5752	94	20	potential	potential	NOUN
cana-5752	94	21	in	in	ADP
cana-5752	94	22	overhauling	overhaul	VERB
cana-5752	94	23	skin	skin	NOUN
cana-5752	94	24	cancer	cancer	NOUN
cana-5752	94	25	detection	detection	NOUN
cana-5752	94	26	—	—	PUNCT
cana-5752	94	27	often	often	ADV
cana-5752	94	28	planning	plan	VERB
cana-5752	94	29	or	or	CCONJ
cana-5752	94	30	in	in	ADP
cana-5752	94	31	fact	fact	NOUN
cana-5752	94	32	outflanking	outflank	VERB
cana-5752	94	33	dermatologist	dermatologist	NOUN
cana-5752	94	34	-	-	PUNCT
cana-5752	94	35	level	level	NOUN
cana-5752	94	36	execution	execution	NOUN
cana-5752	94	37	in	in	ADP
cana-5752	94	38	controlled	control	VERB
cana-5752	94	39	considers	consider	NOUN
cana-5752	94	40	.	.	PUNCT
cana-5752	95	1	these	these	DET
cana-5752	95	2	models	model	NOUN
cana-5752	95	3	take	take	VERB
cana-5752	95	4	after	after	ADP
cana-5752	95	5	a	a	DET
cana-5752	95	6	solid	solid	ADJ
cana-5752	95	7	pipeline	pipeline	NOUN
cana-5752	95	8	—	—	PUNCT
cana-5752	95	9	comprising	comprise	VERB
cana-5752	95	10	picture	picture	NOUN
cana-5752	95	11	obtainment	obtainment	NOUN
cana-5752	95	12	,	,	PUNCT
cana-5752	95	13	preprocessing	preprocessing	NOUN
cana-5752	95	14	,	,	PUNCT
cana-5752	95	15	division	division	NOUN
cana-5752	95	16	,	,	PUNCT
cana-5752	95	17	highlight	highlight	VERB
cana-5752	95	18	extraction	extraction	NOUN
cana-5752	95	19	,	,	PUNCT
cana-5752	95	20	and	and	CCONJ
cana-5752	95	21	classification	classification	NOUN
cana-5752	95	22	—	—	PUNCT
cana-5752	95	23	highlighted	highlight	VERB
cana-5752	95	24	as	as	ADP
cana-5752	95	25	essential	essential	ADJ
cana-5752	95	26	steps	step	NOUN
cana-5752	95	27	in	in	ADP
cana-5752	95	28	afterward	afterward	ADJ
cana-5752	95	29	reviews	review	NOUN
cana-5752	95	30	.	.	PUNCT
cana-5752	96	1	while	while	SCONJ
cana-5752	96	2	fabricated	fabricate	VERB
cana-5752	96	3	neural	neural	ADJ
cana-5752	96	4	frameworks	framework	NOUN
cana-5752	96	5	(	(	PUNCT
cana-5752	96	6	e.g.	e.g.	ADV
cana-5752	96	7	,	,	PUNCT
cana-5752	96	8	cnns	cnn	NOUN
cana-5752	96	9	)	)	PUNCT
cana-5752	96	10	have	have	AUX
cana-5752	96	11	illustrated	illustrate	VERB
cana-5752	96	12	effective	effective	ADJ
cana-5752	96	13	in	in	ADP
cana-5752	96	14	highlight	highlight	NOUN
cana-5752	96	15	extraction	extraction	NOUN
cana-5752	96	16	and	and	CCONJ
cana-5752	96	17	classification	classification	NOUN
cana-5752	96	18	,	,	PUNCT
cana-5752	96	19	their	their	PRON
cana-5752	96	20	triumph	triumph	NOUN
cana-5752	96	21	depends	depend	VERB
cana-5752	96	22	heightening	heighten	VERB
cana-5752	96	23	on	on	ADP
cana-5752	96	24	managing	manage	VERB
cana-5752	96	25	with	with	ADP
cana-5752	96	26	dataset	dataset	ADJ
cana-5752	96	27	challenges	challenge	NOUN
cana-5752	96	28	,	,	PUNCT
cana-5752	96	29	such	such	ADJ
cana-5752	96	30	as	as	ADP
cana-5752	96	31	artifact	artifact	ADJ
cana-5752	96	32	departure	departure	NOUN
cana-5752	96	33	,	,	PUNCT
cana-5752	96	34	course	course	NOUN
cana-5752	96	35	cumbersomeness	cumbersomeness	NOUN
cana-5752	96	36	,	,	PUNCT
cana-5752	96	37	and	and	CCONJ
cana-5752	96	38	skin	skin	NOUN
cana-5752	96	39	tone	tone	NOUN
cana-5752	96	40	contrasts	contrast	VERB
cana-5752	96	41	.	.	PUNCT
cana-5752	97	1	systems	system	NOUN
cana-5752	97	2	that	that	PRON
cana-5752	97	3	solidify	solidify	VERB
cana-5752	97	4	explainability	explainability	NOUN
cana-5752	97	5	measures	measure	NOUN
cana-5752	97	6	like	like	ADP
cana-5752	97	7	grad	grad	NOUN
cana-5752	97	8	-	-	PUNCT
cana-5752	97	9	cam	cam	NOUN
cana-5752	97	10	help	help	VERB
cana-5752	97	11	back	back	ADP
cana-5752	97	12	clinical	clinical	ADJ
cana-5752	97	13	accept	accept	VERB
cana-5752	97	14	by	by	ADP
cana-5752	97	15	revealing	reveal	VERB
cana-5752	97	16	the	the	DET
cana-5752	97	17	visual	visual	ADJ
cana-5752	97	18	demonstrate	demonstrate	NOUN
cana-5752	97	19	behind	behind	ADP
cana-5752	97	20	choices.the	choices.the	PRON
cana-5752	97	21	foremost	foremost	ADJ
cana-5752	97	22	later	late	ADJ
cana-5752	97	23	models	model	NOUN
cana-5752	97	24	grow	grow	VERB
cana-5752	97	25	this	this	DET
cana-5752	97	26	worldview	worldview	NOUN
cana-5752	97	27	by	by	ADP
cana-5752	97	28	joining	join	VERB
cana-5752	97	29	multi	multi	ADJ
cana-5752	97	30	-	-	ADJ
cana-5752	97	31	stage	stage	NOUN
cana-5752	97	32	combination	combination	NOUN
cana-5752	97	33	techniques	technique	NOUN
cana-5752	97	34	—	—	PUNCT
cana-5752	97	35	combining	combine	VERB
cana-5752	97	36	models	model	NOUN
cana-5752	97	37	like	like	ADP
cana-5752	97	38	convnextv2	convnextv2	NOUN
cana-5752	97	39	with	with	ADP
cana-5752	97	40	unmistakable	unmistakable	ADJ
cana-5752	97	41	self	self	NOUN
cana-5752	97	42	-	-	PUNCT
cana-5752	97	43	attention	attention	NOUN
cana-5752	97	44	—	—	PUNCT
cana-5752	97	45	to	to	PART
cana-5752	97	46	capture	capture	VERB
cana-5752	97	47	both	both	DET
cana-5752	97	48	neighborhood	neighborhood	NOUN
cana-5752	97	49	harm	harm	NOUN
cana-5752	97	50	detail	detail	NOUN
cana-5752	97	51	and	and	CCONJ
cana-5752	97	52	around	around	ADP
cana-5752	97	53	the	the	DET
cana-5752	97	54	world	world	NOUN
cana-5752	97	55	setting	setting	NOUN
cana-5752	97	56	,	,	PUNCT
cana-5752	97	57	finishing	finish	VERB
cana-5752	97	58	classification	classification	NOUN
cana-5752	97	59	exactness	exactness	NOUN
cana-5752	97	60	over	over	ADP
cana-5752	97	61	93	93	NUM
cana-5752	97	62	%	%	NOUN
cana-5752	97	63	over	over	ADP
cana-5752	97	64	diverse	diverse	ADJ
cana-5752	97	65	harm	harm	NOUN
cana-5752	97	66	sorts	sort	NOUN
cana-5752	97	67	.	.	PUNCT
cana-5752	98	1	moreover	moreover	ADV
cana-5752	98	2	,	,	PUNCT
cana-5752	98	3	smartphone	smartphone	NOUN
cana-5752	98	4	-	-	PUNCT
cana-5752	98	5	based	base	VERB
cana-5752	98	6	courses	course	NOUN
cana-5752	98	7	of	of	ADP
cana-5752	98	8	action	action	NOUN
cana-5752	98	9	that	that	PRON
cana-5752	98	10	merge	merge	VERB
cana-5752	98	11	picture	picture	NOUN
cana-5752	98	12	data	datum	NOUN
cana-5752	98	13	with	with	ADP
cana-5752	98	14	metadata	metadata	NOUN
cana-5752	98	15	have	have	AUX
cana-5752	98	16	showed	show	VERB
cana-5752	98	17	up	up	ADP
cana-5752	98	18	engaging	engage	VERB
cana-5752	98	19	comes	come	VERB
cana-5752	98	20	almost	almost	ADV
cana-5752	98	21	in	in	ADP
cana-5752	98	22	real	real	ADJ
cana-5752	98	23	-	-	PUNCT
cana-5752	98	24	world	world	NOUN
cana-5752	98	25	settings	setting	NOUN
cana-5752	98	26	,	,	PUNCT
cana-5752	98	27	accomplishing	accomplish	VERB
cana-5752	98	28	~85	~85	NOUN
cana-5752	98	29	%	%	NOUN
cana-5752	98	30	balanced	balanced	ADJ
cana-5752	98	31	accuracy	accuracy	NOUN
cana-5752	98	32	—	—	PUNCT
cana-5752	98	33	illustrating	illustrate	VERB
cana-5752	98	34	the	the	DET
cana-5752	98	35	achievability	achievability	NOUN
cana-5752	98	36	and	and	CCONJ
cana-5752	98	37	ensure	ensure	VERB
cana-5752	98	38	of	of	ADP
cana-5752	98	39	convenient	convenient	ADJ
cana-5752	98	40	teledermatology	teledermatology	NOUN
cana-5752	98	41	.be	.be	PUNCT
cana-5752	98	42	that	that	SCONJ
cana-5752	98	43	because	because	SCONJ
cana-5752	98	44	it	it	PRON
cana-5752	98	45	may	may	AUX
cana-5752	98	46	,	,	PUNCT
cana-5752	98	47	passing	pass	VERB
cana-5752	98	48	on	on	ADP
cana-5752	98	49	these	these	DET
cana-5752	98	50	systems	system	NOUN
cana-5752	98	51	reasonably	reasonably	ADV
cana-5752	98	52	faces	face	VERB
cana-5752	98	53	challenges	challenge	NOUN
cana-5752	98	54	:	:	PUNCT
cana-5752	98	55	ensuring	ensure	VERB
cana-5752	98	56	wide	wide	ADJ
cana-5752	98	57	generalizability	generalizability	NOUN
cana-5752	98	58	over	over	ADP
cana-5752	98	59	skin	skin	NOUN
cana-5752	98	60	tones	tone	NOUN
cana-5752	98	61	,	,	PUNCT
cana-5752	98	62	calming	calm	VERB
cana-5752	98	63	unequal	unequal	ADJ
cana-5752	98	64	and	and	CCONJ
cana-5752	98	65	artifact	artifact	ADJ
cana-5752	98	66	-	-	PUNCT
cana-5752	98	67	ridden	ride	VERB
cana-5752	98	68	datasets	dataset	NOUN
cana-5752	98	69	,	,	PUNCT
cana-5752	98	70	and	and	CCONJ
cana-5752	98	71	joining	join	VERB
cana-5752	98	72	models	model	NOUN
cana-5752	98	73	into	into	ADP
cana-5752	98	74	clinical	clinical	ADJ
cana-5752	98	75	workflows	workflow	NOUN
cana-5752	98	76	with	with	ADP
cana-5752	98	77	genuine	genuine	ADJ
cana-5752	98	78	endorsement	endorsement	NOUN
cana-5752	98	79	and	and	CCONJ
cana-5752	98	80	authoritative	authoritative	ADJ
cana-5752	98	81	compliance	compliance	NOUN
cana-5752	98	82	.	.	PUNCT
cana-5752	99	1	tending	tend	VERB
cana-5752	99	2	to	to	ADP
cana-5752	99	3	these	these	DET
cana-5752	99	4	gaps	gap	NOUN
cana-5752	99	5	requires	require	VERB
cana-5752	99	6	expanding	expand	VERB
cana-5752	99	7	planning	planning	NOUN
cana-5752	99	8	data	datum	NOUN
cana-5752	99	9	contrasting	contrast	VERB
cana-5752	99	10	qualities	quality	NOUN
cana-5752	99	11	,	,	PUNCT
cana-5752	99	12	grasping	grasp	VERB
cana-5752	99	13	sensible	sensible	ADJ
cana-5752	99	14	models	model	NOUN
cana-5752	99	15	,	,	PUNCT
cana-5752	99	16	and	and	CCONJ
cana-5752	99	17	conducting	conduct	VERB
cana-5752	99	18	arranged	arrange	VERB
cana-5752	99	19	real	real	ADJ
cana-5752	99	20	-	-	PUNCT
cana-5752	99	21	world	world	NOUN
cana-5752	99	22	trials	trial	NOUN
cana-5752	99	23	.	.	PUNCT
cana-5752	100	1	inevitably	inevitably	ADV
cana-5752	100	2	,	,	PUNCT
cana-5752	100	3	the	the	DET
cana-5752	100	4	assembly	assembly	NOUN
cana-5752	100	5	of	of	ADP
cana-5752	100	6	advanced	advanced	ADJ
cana-5752	100	7	significant	significant	ADJ
cana-5752	100	8	learning	learning	NOUN
cana-5752	100	9	structures	structure	NOUN
cana-5752	100	10	,	,	PUNCT
cana-5752	100	11	careful	careful	ADJ
cana-5752	100	12	preprocessing	preprocessing	NOUN
cana-5752	100	13	,	,	PUNCT
cana-5752	100	14	and	and	CCONJ
cana-5752	100	15	reasonable	reasonable	ADJ
cana-5752	100	16	course	course	NOUN
cana-5752	100	17	of	of	ADP
cana-5752	100	18	action	action	NOUN
cana-5752	100	19	techniques	technique	NOUN
cana-5752	100	20	emissaries	emissary	NOUN
cana-5752	100	21	a	a	DET
cana-5752	100	22	transformative	transformative	ADJ
cana-5752	100	23	period	period	NOUN
cana-5752	100	24	for	for	ADP
cana-5752	100	25	skin	skin	NOUN
cana-5752	100	26	cancer	cancer	NOUN
cana-5752	100	27	diagnostics	diagnostic	NOUN
cana-5752	100	28	—	—	PUNCT
cana-5752	100	29	enabling	enable	VERB
cana-5752	100	30	faster	fast	ADJ
cana-5752	100	31	,	,	PUNCT
cana-5752	100	32	more	more	ADV
cana-5752	100	33	open	open	ADJ
cana-5752	100	34	,	,	PUNCT
cana-5752	100	35	and	and	CCONJ
cana-5752	100	36	solid	solid	ADJ
cana-5752	100	37	revelation	revelation	NOUN
cana-5752	100	38	gadgets	gadget	NOUN
cana-5752	100	39	that	that	PRON
cana-5752	100	40	back	back	VERB
cana-5752	100	41	clinicians	clinician	NOUN
cana-5752	100	42	and	and	CCONJ
cana-5752	101	1	empower	empower	PROPN
cana-5752	101	2	tireless	tireless	PROPN
cana-5752	101	3	care	care	VERB
cana-5752	101	4	around	around	ADP
cana-5752	101	5	the	the	DET
cana-5752	101	6	world	world	NOUN
cana-5752	101	7	.	.	PUNCT
cana-5752	102	1	communications	communication	NOUN
cana-5752	102	2	on	on	ADP
cana-5752	102	3	applied	apply	VERB
cana-5752	102	4	nonlinear	nonlinear	ADJ
cana-5752	102	5	analysis	analysis	NOUN
cana-5752	102	6	issn	issn	NOUN
cana-5752	102	7	:	:	PUNCT
cana-5752	102	8	1074	1074	NUM
cana-5752	102	9	-	-	PUNCT
cana-5752	102	10	133x	133x	NUM
cana-5752	102	11	vol	vol	NOUN
cana-5752	102	12	32	32	NUM
cana-5752	102	13	no	no	NOUN
cana-5752	102	14	.	.	PUNCT
cana-5752	103	1	3s	3s	NUM
cana-5752	103	2	(	(	PUNCT
cana-5752	103	3	2025	2025	NUM
cana-5752	103	4	)	)	PUNCT
cana-5752	103	5	768	768	NUM
cana-5752	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5752	103	7	future	future	ADJ
cana-5752	103	8	scope	scope	NOUN
cana-5752	103	9	:	:	PUNCT
cana-5752	103	10	moving	move	VERB
cana-5752	103	11	forward	forward	ADV
cana-5752	103	12	,	,	PUNCT
cana-5752	103	13	ai	ai	ADJ
cana-5752	103	14	-	-	PUNCT
cana-5752	103	15	powered	power	VERB
cana-5752	103	16	skin	skin	NOUN
cana-5752	103	17	cancer	cancer	NOUN
cana-5752	103	18	revelation	revelation	NOUN
cana-5752	103	19	systems	system	NOUN
cana-5752	103	20	got	get	VERB
cana-5752	103	21	to	to	ADP
cana-5752	103	22	development	development	VERB
cana-5752	103	23	into	into	ADP
cana-5752	103	24	comprehensive	comprehensive	ADJ
cana-5752	103	25	,	,	PUNCT
cana-5752	103	26	clinically	clinically	ADV
cana-5752	103	27	arranges	arrange	VERB
cana-5752	103	28	devices	device	NOUN
cana-5752	103	29	that	that	PRON
cana-5752	103	30	combine	combine	VERB
cana-5752	103	31	picture	picture	NOUN
cana-5752	103	32	examination	examination	NOUN
cana-5752	103	33	with	with	ADP
cana-5752	103	34	additional	additional	ADJ
cana-5752	103	35	calm	calm	ADJ
cana-5752	103	36	data	datum	NOUN
cana-5752	103	37	and	and	CCONJ
cana-5752	103	38	take	take	VERB
cana-5752	103	39	after	after	ADP
cana-5752	103	40	to	to	ADP
cana-5752	103	41	unbending	unbend	VERB
cana-5752	103	42	ethical	ethical	ADJ
cana-5752	103	43	and	and	CCONJ
cana-5752	103	44	authoritative	authoritative	ADJ
cana-5752	103	45	measures	measure	NOUN
cana-5752	103	46	.	.	PUNCT
cana-5752	104	1	future	future	ADJ
cana-5752	104	2	models	model	NOUN
cana-5752	104	3	can	can	AUX
cana-5752	104	4	grasp	grasp	VERB
cana-5752	104	5	multimodal	multimodal	NOUN
cana-5752	104	6	learning	learning	NOUN
cana-5752	104	7	,	,	PUNCT
cana-5752	104	8	coordination	coordination	NOUN
cana-5752	104	9	measurement	measurement	NOUN
cana-5752	104	10	information	information	NOUN
cana-5752	104	11	(	(	PUNCT
cana-5752	104	12	age	age	NOUN
cana-5752	104	13	,	,	PUNCT
cana-5752	104	14	ethnicity	ethnicity	NOUN
cana-5752	104	15	,	,	PUNCT
cana-5752	104	16	harm	harm	NOUN
cana-5752	104	17	region	region	NOUN
cana-5752	104	18	)	)	PUNCT
cana-5752	104	19	with	with	ADP
cana-5752	104	20	clinical	clinical	ADJ
cana-5752	104	21	and	and	CCONJ
cana-5752	104	22	dermoscopic	dermoscopic	ADJ
cana-5752	104	23	pictures	picture	NOUN
cana-5752	104	24	to	to	PART
cana-5752	104	25	boost	boost	VERB
cana-5752	104	26	symptomatic	symptomatic	ADJ
cana-5752	104	27	accuracy	accuracy	NOUN
cana-5752	104	28	—	—	PUNCT
cana-5752	104	29	studies	study	NOUN
cana-5752	104	30	show	show	VERB
cana-5752	104	31	up	up	ADP
cana-5752	104	32	balanced	balanced	ADJ
cana-5752	104	33	accuracy	accuracy	NOUN
cana-5752	104	34	progressions	progression	NOUN
cana-5752	104	35	of	of	ADP
cana-5752	104	36	up	up	ADP
cana-5752	104	37	to	to	PART
cana-5752	104	38	~7	~7	NOUN
cana-5752	104	39	%	%	NOUN
cana-5752	104	40	when	when	SCONJ
cana-5752	104	41	checking	check	VERB
cana-5752	104	42	such	such	ADJ
cana-5752	104	43	metadata	metadata	NOUN
cana-5752	104	44	sending	send	VERB
cana-5752	104	45	combined	combine	VERB
cana-5752	104	46	learning	learning	NOUN
cana-5752	104	47	frameworks	framework	NOUN
cana-5752	104	48	over	over	ADP
cana-5752	104	49	instruct	instruct	NOUN
cana-5752	104	50	can	can	AUX
cana-5752	104	51	secure	secure	VERB
cana-5752	104	52	tireless	tireless	ADJ
cana-5752	104	53	assurance	assurance	NOUN
cana-5752	104	54	and	and	CCONJ
cana-5752	104	55	deliver	deliver	VERB
cana-5752	104	56	more	more	ADV
cana-5752	104	57	solid	solid	ADJ
cana-5752	104	58	models	model	NOUN
cana-5752	104	59	arranged	arrange	VERB
cana-5752	104	60	on	on	ADP
cana-5752	104	61	contrasting	contrast	VERB
cana-5752	104	62	skin	skin	NOUN
cana-5752	104	63	sorts	sort	NOUN
cana-5752	104	64	and	and	CCONJ
cana-5752	104	65	unprecedented	unprecedented	ADJ
cana-5752	104	66	pathologies	pathology	NOUN
cana-5752	104	67	without	without	ADP
cana-5752	104	68	centralized	centralized	ADJ
cana-5752	104	69	data	datum	NOUN
cana-5752	104	70	sharing.to	sharing.to	NOUN
cana-5752	104	71	bridge	bridge	VERB
cana-5752	104	72	the	the	DET
cana-5752	104	73	gap	gap	NOUN
cana-5752	104	74	between	between	ADP
cana-5752	104	75	exploratory	exploratory	ADJ
cana-5752	104	76	ampleness	ampleness	NOUN
cana-5752	104	77	and	and	CCONJ
cana-5752	104	78	real	real	ADJ
cana-5752	104	79	-	-	PUNCT
cana-5752	104	80	world	world	NOUN
cana-5752	104	81	clinical	clinical	ADJ
cana-5752	104	82	application	application	NOUN
cana-5752	104	83	,	,	PUNCT
cana-5752	104	84	next	next	ADJ
cana-5752	104	85	-	-	PUNCT
cana-5752	104	86	generation	generation	NOUN
cana-5752	104	87	systems	system	NOUN
cana-5752	104	88	must	must	AUX
cana-5752	104	89	solidify	solidify	VERB
cana-5752	104	90	flimsiness	flimsiness	NOUN
cana-5752	104	91	estimation	estimation	NOUN
cana-5752	104	92	,	,	PUNCT
cana-5752	104	93	allowing	allow	VERB
cana-5752	104	94	clinicians	clinician	NOUN
cana-5752	104	95	to	to	PART
cana-5752	104	96	recognize	recognize	VERB
cana-5752	104	97	dubious	dubious	ADJ
cana-5752	104	98	cases	case	NOUN
cana-5752	104	99	and	and	CCONJ
cana-5752	104	100	select	select	ADJ
cana-5752	104	101	when	when	SCONJ
cana-5752	104	102	human	human	ADJ
cana-5752	104	103	review	review	NOUN
cana-5752	104	104	is	be	AUX
cana-5752	104	105	required	require	VERB
cana-5752	104	106	.	.	PUNCT
cana-5752	105	1	rising	rise	VERB
cana-5752	105	2	applications	application	NOUN
cana-5752	105	3	consolidate	consolidate	VERB
cana-5752	105	4	flexible	flexible	ADJ
cana-5752	105	5	teledermatology	teledermatology	NOUN
cana-5752	105	6	and	and	CCONJ
cana-5752	105	7	ai	ai	AUX
cana-5752	105	8	-	-	PUNCT
cana-5752	105	9	assisted	assist	VERB
cana-5752	105	10	full	full	ADJ
cana-5752	105	11	-	-	PUNCT
cana-5752	105	12	body	body	NOUN
cana-5752	105	13	mole	mole	NOUN
cana-5752	105	14	mapping	mapping	NOUN
cana-5752	105	15	(	(	PUNCT
cana-5752	105	16	by	by	ADP
cana-5752	105	17	implies	implie	NOUN
cana-5752	105	18	of	of	ADP
cana-5752	105	19	3d	3d	PROPN
cana-5752	105	20	imaging	imaging	NOUN
cana-5752	105	21	)	)	PUNCT
cana-5752	105	22	,	,	PUNCT
cana-5752	105	23	empowering	empower	VERB
cana-5752	105	24	more	more	ADV
cana-5752	105	25	distant	distant	ADJ
cana-5752	105	26	and	and	CCONJ
cana-5752	105	27	preventive	preventive	ADJ
cana-5752	105	28	screening	screening	NOUN
cana-5752	105	29	—	—	PUNCT
cana-5752	105	30	models	model	NOUN
cana-5752	105	31	have	have	VERB
cana-5752	105	32	as	as	ADP
cana-5752	105	33	of	of	ADP
cana-5752	105	34	presently	presently	ADV
cana-5752	105	35	illustrated	illustrate	VERB
cana-5752	105	36	important	important	ADJ
cana-5752	105	37	in	in	ADP
cana-5752	105	38	underserved	underserved	ADJ
cana-5752	105	39	settings	setting	NOUN
cana-5752	105	40	.	.	PUNCT
cana-5752	106	1	regulatory	regulatory	ADJ
cana-5752	106	2	-	-	PUNCT
cana-5752	106	3	approved	approve	VERB
cana-5752	106	4	handheld	handheld	NOUN
cana-5752	106	5	contraptions	contraption	NOUN
cana-5752	106	6	like	like	ADP
cana-5752	106	7	dermasensor	dermasensor	NOUN
cana-5752	106	8	by	by	ADV
cana-5752	106	9	and	and	CCONJ
cana-5752	106	10	by	by	ADP
cana-5752	106	11	lock	lock	NOUN
cana-5752	106	12	in	in	ADP
cana-5752	106	13	basic	basic	ADJ
cana-5752	106	14	care	care	NOUN
cana-5752	106	15	specialists	specialist	NOUN
cana-5752	106	16	to	to	PART
cana-5752	106	17	triage	triage	VERB
cana-5752	106	18	wounds	wound	NOUN
cana-5752	106	19	with	with	ADP
cana-5752	106	20	tall	tall	ADJ
cana-5752	106	21	affectability	affectability	NOUN
cana-5752	106	22	(	(	PUNCT
cana-5752	106	23	~95	~95	NOUN
cana-5752	106	24	%	%	NOUN
cana-5752	106	25	)	)	PUNCT
cana-5752	106	26	,	,	PUNCT
cana-5752	106	27	signaling	signal	VERB
cana-5752	106	28	a	a	DET
cana-5752	106	29	incline	incline	NOUN
cana-5752	106	30	toward	toward	ADP
cana-5752	106	31	decentralized	decentralize	VERB
cana-5752	106	32	,	,	PUNCT
cana-5752	106	33	point	point	NOUN
cana-5752	106	34	-	-	PUNCT
cana-5752	106	35	of	of	ADP
cana-5752	106	36	-	-	PUNCT
cana-5752	106	37	care	care	NOUN
cana-5752	106	38	diagnostics.at	diagnostics.at	ADP
cana-5752	106	39	long	long	ADJ
cana-5752	106	40	final	final	ADJ
cana-5752	106	41	,	,	PUNCT
cana-5752	106	42	to	to	PART
cana-5752	106	43	ensure	ensure	VERB
cana-5752	106	44	ethical	ethical	ADJ
cana-5752	106	45	and	and	CCONJ
cana-5752	106	46	unbiased	unbiased	ADJ
cana-5752	106	47	course	course	NOUN
cana-5752	106	48	of	of	ADP
cana-5752	106	49	action	action	NOUN
cana-5752	106	50	,	,	PUNCT
cana-5752	106	51	future	future	ADJ
cana-5752	106	52	systems	system	NOUN
cana-5752	106	53	must	must	AUX
cana-5752	106	54	prioritize	prioritize	AUX
cana-5752	106	55	grouped	group	VERB
cana-5752	106	56	data	datum	NOUN
cana-5752	106	57	collection	collection	NOUN
cana-5752	106	58	to	to	PART
cana-5752	106	59	evade	evade	VERB
cana-5752	106	60	inclination	inclination	NOUN
cana-5752	106	61	,	,	PUNCT
cana-5752	106	62	take	take	VERB
cana-5752	106	63	after	after	ADP
cana-5752	106	64	to	to	ADP
cana-5752	106	65	rules	rule	NOUN
cana-5752	106	66	like	like	ADP
cana-5752	106	67	tripod	tripod	NOUN
cana-5752	106	68	-	-	PUNCT
cana-5752	106	69	ai	ai	NOUN
cana-5752	106	70	and	and	CCONJ
cana-5752	106	71	decideai	decideai	ADJ
cana-5752	106	72	,	,	PUNCT
cana-5752	106	73	and	and	CCONJ
cana-5752	106	74	bolt	bolt	VERB
cana-5752	106	75	in	in	ADV
cana-5752	106	76	in	in	ADP
cana-5752	106	77	arranged	arrange	VERB
cana-5752	106	78	clinical	clinical	ADJ
cana-5752	106	79	trials	trial	NOUN
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cana-5752	107	1	with	with	ADP
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cana-5752	113	5	.	.	PUNCT
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cana-5752	119	2	.	.	PUNCT
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cana-5752	120	5	/	/	SYM
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cana-5752	122	8	.	.	PUNCT
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cana-5752	127	3	.	.	PUNCT
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cana-5752	131	9	&	&	CCONJ
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cana-5752	131	13	&	&	CCONJ
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