id	sid	tid	token	lemma	pos
dpc-2870	1	1	dermatology	dermatology	NOUN
dpc-2870	1	2	:	:	PUNCT
dpc-2870	1	3	practical	practical	ADJ
dpc-2870	1	4	and	and	CCONJ
dpc-2870	1	5	conceptual	conceptual	ADJ
dpc-2870	1	6	original	original	ADJ
dpc-2870	1	7	article	article	NOUN
dpc-2870	1	8	|	|	ADV
dpc-2870	1	9	dermatol	dermatol	ADJ
dpc-2870	1	10	pract	pract	NOUN
dpc-2870	1	11	concept	concept	NOUN
dpc-2870	1	12	.	.	PUNCT
dpc-2870	2	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	2	2	1	1	NUM
dpc-2870	2	3	a	a	DET
dpc-2870	2	4	machine	machine	NOUN
dpc-2870	2	5	learning	learn	VERB
dpc-2870	2	6	algorithm	algorithm	NOUN
dpc-2870	2	7	applied	apply	VERB
dpc-2870	2	8	to	to	PART
dpc-2870	2	9	trichoscopy	trichoscopy	VERB
dpc-2870	2	10	for	for	ADP
dpc-2870	2	11	androgenic	androgenic	ADJ
dpc-2870	2	12	alopecia	alopecia	NOUN
dpc-2870	2	13	staging	staging	NOUN
dpc-2870	2	14	and	and	CCONJ
dpc-2870	2	15	severity	severity	NOUN
dpc-2870	2	16	assessment	assessment	NOUN
dpc-2870	2	17	marco	marco	PROPN
dpc-2870	2	18	di	di	PROPN
dpc-2870	2	19	fraia1	fraia1	PROPN
dpc-2870	2	20	,	,	PUNCT
dpc-2870	2	21	lorenzo	lorenzo	PROPN
dpc-2870	2	22	tieghi2	tieghi2	PROPN
dpc-2870	2	23	,	,	PUNCT
dpc-2870	2	24	francesca	francesca	PROPN
dpc-2870	2	25	magri1	magri1	PROPN
dpc-2870	2	26	,	,	PUNCT
dpc-2870	2	27	gemma	gemma	PROPN
dpc-2870	2	28	caro1	caro1	PROPN
dpc-2870	2	29	,	,	PUNCT
dpc-2870	2	30	simone	simone	PROPN
dpc-2870	2	31	michelini1	michelini1	PROPN
dpc-2870	2	32	,	,	PUNCT
dpc-2870	2	33	giovanni	giovanni	PROPN
dpc-2870	2	34	pellacani1	pellacani1	NOUN
dpc-2870	2	35	,	,	PUNCT
dpc-2870	2	36	alfredo	alfredo	NOUN
dpc-2870	2	37	rossi1	rossi1	NOUN
dpc-2870	2	38	1	1	NUM
dpc-2870	2	39	dermatology	dermatology	NOUN
dpc-2870	2	40	clinic	clinic	NOUN
dpc-2870	2	41	,	,	PUNCT
dpc-2870	2	42	department	department	NOUN
dpc-2870	2	43	of	of	ADP
dpc-2870	2	44	clinical	clinical	ADJ
dpc-2870	2	45	internal	internal	ADJ
dpc-2870	2	46	,	,	PUNCT
dpc-2870	2	47	anesthesiologic	anesthesiologic	ADJ
dpc-2870	2	48	and	and	CCONJ
dpc-2870	2	49	cardiovascular	cardiovascular	ADJ
dpc-2870	2	50	sciences	science	NOUN
dpc-2870	2	51	,	,	PUNCT
dpc-2870	2	52	sapienza	sapienza	PROPN
dpc-2870	2	53	university	university	PROPN
dpc-2870	2	54	of	of	ADP
dpc-2870	2	55	rome	rome	PROPN
dpc-2870	2	56	,	,	PUNCT
dpc-2870	2	57	roma	roma	PROPN
dpc-2870	2	58	,	,	PUNCT
dpc-2870	2	59	italy	italy	PROPN
dpc-2870	2	60	2	2	NUM
dpc-2870	2	61	department	department	NOUN
dpc-2870	2	62	of	of	ADP
dpc-2870	2	63	mechanical	mechanical	ADJ
dpc-2870	2	64	and	and	CCONJ
dpc-2870	2	65	aerospace	aerospace	NOUN
dpc-2870	2	66	engineering	engineering	NOUN
dpc-2870	2	67	,	,	PUNCT
dpc-2870	2	68	sapienza	sapienza	PROPN
dpc-2870	2	69	university	university	PROPN
dpc-2870	2	70	of	of	ADP
dpc-2870	2	71	rome	rome	PROPN
dpc-2870	2	72	,	,	PUNCT
dpc-2870	2	73	roma	roma	PROPN
dpc-2870	2	74	,	,	PUNCT
dpc-2870	2	75	italy	italy	PROPN
dpc-2870	2	76	key	key	ADJ
dpc-2870	2	77	words	word	NOUN
dpc-2870	2	78	:	:	PUNCT
dpc-2870	2	79	androgenic	androgenic	ADJ
dpc-2870	2	80	alopecia	alopecia	NOUN
dpc-2870	2	81	,	,	PUNCT
dpc-2870	2	82	trichoscopy	trichoscopy	NOUN
dpc-2870	2	83	,	,	PUNCT
dpc-2870	2	84	machine	machine	NOUN
dpc-2870	2	85	learning	learning	NOUN
dpc-2870	2	86	,	,	PUNCT
dpc-2870	2	87	support	support	VERB
dpc-2870	2	88	vector	vector	NOUN
dpc-2870	2	89	machine	machine	NOUN
dpc-2870	2	90	,	,	PUNCT
dpc-2870	2	91	staging	stage	VERB
dpc-2870	2	92	citation	citation	NOUN
dpc-2870	2	93	:	:	PUNCT
dpc-2870	2	94	di	di	PROPN
dpc-2870	2	95	fraia	fraia	PROPN
dpc-2870	2	96	m	m	PROPN
dpc-2870	2	97	,	,	PUNCT
dpc-2870	2	98	tieghi	tieghi	PROPN
dpc-2870	2	99	l	l	NOUN
dpc-2870	2	100	,	,	PUNCT
dpc-2870	2	101	magri	magri	NOUN
dpc-2870	2	102	f	f	NOUN
dpc-2870	2	103	,	,	PUNCT
dpc-2870	2	104	et	et	PROPN
dpc-2870	2	105	al	al	PROPN
dpc-2870	2	106	.	.	PUNCT
dpc-2870	3	1	a	a	DET
dpc-2870	3	2	machine	machine	NOUN
dpc-2870	3	3	learning	learn	VERB
dpc-2870	3	4	algorithm	algorithm	NOUN
dpc-2870	3	5	applied	apply	VERB
dpc-2870	3	6	to	to	PART
dpc-2870	3	7	trichoscopy	trichoscopy	VERB
dpc-2870	3	8	for	for	ADP
dpc-2870	3	9	androgenic	androgenic	ADJ
dpc-2870	3	10	alopecia	alopecia	NOUN
dpc-2870	3	11	staging	staging	NOUN
dpc-2870	3	12	and	and	CCONJ
dpc-2870	3	13	severity	severity	NOUN
dpc-2870	3	14	assessment	assessment	NOUN
dpc-2870	3	15	.	.	PUNCT
dpc-2870	4	1	dermatol	dermatol	NOUN
dpc-2870	4	2	pract	pract	PROPN
dpc-2870	4	3	concept	concept	NOUN
dpc-2870	4	4	.	.	PUNCT
dpc-2870	5	1	2023;13(3):e2023136	2023;13(3):e2023136	X
dpc-2870	5	2	.	.	PUNCT
dpc-2870	5	3	doi	doi	PROPN
dpc-2870	5	4	:	:	PUNCT
dpc-2870	5	5	https://doi.org/10.5826/dpc.1303a136	https://doi.org/10.5826/dpc.1303a136	NOUN
dpc-2870	5	6	accepted	accept	VERB
dpc-2870	5	7	:	:	PUNCT
dpc-2870	5	8	december	december	PROPN
dpc-2870	5	9	7	7	NUM
dpc-2870	5	10	,	,	PUNCT
dpc-2870	5	11	2022	2022	NUM
dpc-2870	5	12	;	;	PUNCT
dpc-2870	5	13	published	publish	VERB
dpc-2870	5	14	:	:	PUNCT
dpc-2870	6	1	july	july	PROPN
dpc-2870	6	2	2023	2023	NUM
dpc-2870	6	3	copyright	copyright	NOUN
dpc-2870	6	4	:	:	PUNCT
dpc-2870	6	5	©	©	PROPN
dpc-2870	6	6	2023	2023	NUM
dpc-2870	6	7	di	di	NOUN
dpc-2870	6	8	fraia	fraia	PROPN
dpc-2870	6	9	et	et	PROPN
dpc-2870	6	10	al	al	PROPN
dpc-2870	6	11	.	.	PUNCT
dpc-2870	7	1	this	this	PRON
dpc-2870	7	2	is	be	AUX
dpc-2870	7	3	an	an	DET
dpc-2870	7	4	open	open	ADJ
dpc-2870	7	5	-	-	PUNCT
dpc-2870	7	6	access	access	NOUN
dpc-2870	7	7	article	article	NOUN
dpc-2870	7	8	distributed	distribute	VERB
dpc-2870	7	9	under	under	ADP
dpc-2870	7	10	the	the	DET
dpc-2870	7	11	terms	term	NOUN
dpc-2870	7	12	of	of	ADP
dpc-2870	7	13	the	the	DET
dpc-2870	7	14	creative	creative	ADJ
dpc-2870	7	15	commons	common	NOUN
dpc-2870	7	16	attribution	attribution	NOUN
dpc-2870	7	17	-	-	PUNCT
dpc-2870	7	18	noncommercial	noncommercial	ADJ
dpc-2870	7	19	license	license	NOUN
dpc-2870	7	20	(	(	PUNCT
dpc-2870	7	21	by	by	ADP
dpc-2870	7	22	-	-	PUNCT
dpc-2870	7	23	nc-4.0	nc-4.0	NOUN
dpc-2870	7	24	)	)	PUNCT
dpc-2870	7	25	,	,	PUNCT
dpc-2870	7	26	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
dpc-2870	7	27	,	,	PUNCT
dpc-2870	7	28	which	which	PRON
dpc-2870	7	29	permits	permit	VERB
dpc-2870	7	30	unrestricted	unrestricted	ADJ
dpc-2870	7	31	noncommercial	noncommercial	ADJ
dpc-2870	7	32	use	use	NOUN
dpc-2870	7	33	,	,	PUNCT
dpc-2870	7	34	distribution	distribution	NOUN
dpc-2870	7	35	,	,	PUNCT
dpc-2870	7	36	and	and	CCONJ
dpc-2870	7	37	reproduction	reproduction	NOUN
dpc-2870	7	38	in	in	ADP
dpc-2870	7	39	any	any	DET
dpc-2870	7	40	medium	medium	NOUN
dpc-2870	7	41	,	,	PUNCT
dpc-2870	7	42	provided	provide	VERB
dpc-2870	7	43	the	the	DET
dpc-2870	7	44	original	original	ADJ
dpc-2870	7	45	authors	author	NOUN
dpc-2870	7	46	and	and	CCONJ
dpc-2870	7	47	source	source	NOUN
dpc-2870	7	48	are	be	AUX
dpc-2870	7	49	credited	credit	VERB
dpc-2870	7	50	.	.	PUNCT
dpc-2870	8	1	funding	funding	NOUN
dpc-2870	8	2	:	:	PUNCT
dpc-2870	8	3	none	none	NOUN
dpc-2870	8	4	.	.	PUNCT
dpc-2870	9	1	competing	compete	VERB
dpc-2870	9	2	interests	interest	NOUN
dpc-2870	9	3	:	:	PUNCT
dpc-2870	9	4	none	none	NOUN
dpc-2870	9	5	.	.	PUNCT
dpc-2870	10	1	authorship	authorship	NOUN
dpc-2870	10	2	:	:	PUNCT
dpc-2870	10	3	all	all	DET
dpc-2870	10	4	authors	author	NOUN
dpc-2870	10	5	have	have	AUX
dpc-2870	10	6	contributed	contribute	VERB
dpc-2870	10	7	significantly	significantly	ADV
dpc-2870	10	8	to	to	ADP
dpc-2870	10	9	this	this	DET
dpc-2870	10	10	publication	publication	NOUN
dpc-2870	10	11	.	.	PUNCT
dpc-2870	11	1	corresponding	correspond	VERB
dpc-2870	11	2	author	author	NOUN
dpc-2870	11	3	:	:	PUNCT
dpc-2870	11	4	di	di	PROPN
dpc-2870	11	5	fraia	fraia	PROPN
dpc-2870	11	6	marco	marco	PROPN
dpc-2870	11	7	,	,	PUNCT
dpc-2870	11	8	dermatology	dermatology	NOUN
dpc-2870	11	9	clinic	clinic	NOUN
dpc-2870	11	10	,	,	PUNCT
dpc-2870	11	11	department	department	NOUN
dpc-2870	11	12	of	of	ADP
dpc-2870	11	13	clinical	clinical	ADJ
dpc-2870	11	14	internal	internal	ADJ
dpc-2870	11	15	,	,	PUNCT
dpc-2870	11	16	anesthesiologic	anesthesiologic	ADJ
dpc-2870	11	17	and	and	CCONJ
dpc-2870	11	18	cardiovascular	cardiovascular	ADJ
dpc-2870	11	19	sciences	science	NOUN
dpc-2870	11	20	,	,	PUNCT
dpc-2870	11	21	sapienza	sapienza	PROPN
dpc-2870	11	22	university	university	PROPN
dpc-2870	11	23	of	of	ADP
dpc-2870	11	24	rome	rome	PROPN
dpc-2870	11	25	,	,	PUNCT
dpc-2870	11	26	viale	viale	NOUN
dpc-2870	11	27	del	del	PROPN
dpc-2870	11	28	policlinico	policlinico	NOUN
dpc-2870	11	29	155	155	NUM
dpc-2870	11	30	,	,	PUNCT
dpc-2870	11	31	00161	00161	NUM
dpc-2870	11	32	,	,	PUNCT
dpc-2870	11	33	roma	roma	PROPN
dpc-2870	11	34	(	(	PUNCT
dpc-2870	11	35	rm	rm	PROPN
dpc-2870	11	36	)	)	PUNCT
dpc-2870	11	37	,	,	PUNCT
dpc-2870	11	38	italy	italy	PROPN
dpc-2870	11	39	.	.	PUNCT
dpc-2870	11	40	email	email	NOUN
dpc-2870	11	41	:	:	PUNCT
dpc-2870	11	42	marco.difraia@uniroma1.it	marco.difraia@uniroma1.it	NOUN
dpc-2870	11	43	introduction	introduction	NOUN
dpc-2870	11	44	:	:	PUNCT
dpc-2870	11	45	androgenic	androgenic	ADJ
dpc-2870	11	46	alopecia	alopecia	NOUN
dpc-2870	11	47	(	(	PUNCT
dpc-2870	11	48	aga	aga	NOUN
dpc-2870	11	49	)	)	PUNCT
dpc-2870	11	50	staging	staging	NOUN
dpc-2870	11	51	is	be	AUX
dpc-2870	11	52	still	still	ADV
dpc-2870	11	53	based	base	VERB
dpc-2870	11	54	on	on	ADP
dpc-2870	11	55	macroscopic	macroscopic	ADJ
dpc-2870	11	56	scales	scale	NOUN
dpc-2870	11	57	,	,	PUNCT
dpc-2870	11	58	yet	yet	CCONJ
dpc-2870	11	59	the	the	DET
dpc-2870	11	60	introduction	introduction	NOUN
dpc-2870	11	61	of	of	ADP
dpc-2870	11	62	trichoscopy	trichoscopy	NOUN
dpc-2870	11	63	is	be	AUX
dpc-2870	11	64	gradually	gradually	ADV
dpc-2870	11	65	bringing	bring	VERB
dpc-2870	11	66	an	an	DET
dpc-2870	11	67	important	important	ADJ
dpc-2870	11	68	change	change	NOUN
dpc-2870	11	69	,	,	PUNCT
dpc-2870	11	70	even	even	ADV
dpc-2870	11	71	though	though	SCONJ
dpc-2870	11	72	it	it	PRON
dpc-2870	11	73	remains	remain	VERB
dpc-2870	11	74	an	an	DET
dpc-2870	11	75	eye	eye	NOUN
dpc-2870	11	76	-	-	PUNCT
dpc-2870	11	77	based	base	VERB
dpc-2870	11	78	method	method	NOUN
dpc-2870	11	79	.	.	PUNCT
dpc-2870	12	1	however	however	ADV
dpc-2870	12	2	,	,	PUNCT
dpc-2870	12	3	recently	recently	ADV
dpc-2870	12	4	developed	develop	VERB
dpc-2870	12	5	artificial	artificial	ADJ
dpc-2870	12	6	intelligence	intelligence	NOUN
dpc-2870	12	7	-	-	PUNCT
dpc-2870	12	8	assisted	assist	VERB
dpc-2870	12	9	programs	program	NOUN
dpc-2870	12	10	can	can	AUX
dpc-2870	12	11	execute	execute	VERB
dpc-2870	12	12	automated	automate	VERB
dpc-2870	12	13	count	count	NOUN
dpc-2870	12	14	of	of	ADP
dpc-2870	12	15	trichoscopic	trichoscopic	NOUN
dpc-2870	12	16	patterns	pattern	NOUN
dpc-2870	12	17	.	.	PUNCT
dpc-2870	13	1	nevertheless	nevertheless	ADV
dpc-2870	13	2	,	,	PUNCT
dpc-2870	13	3	to	to	PART
dpc-2870	13	4	interpret	interpret	VERB
dpc-2870	13	5	data	datum	NOUN
dpc-2870	13	6	elaborated	elaborate	VERB
dpc-2870	13	7	by	by	ADP
dpc-2870	13	8	these	these	DET
dpc-2870	13	9	programs	program	NOUN
dpc-2870	13	10	can	can	AUX
dpc-2870	13	11	be	be	AUX
dpc-2870	13	12	complex	complex	ADJ
dpc-2870	13	13	.	.	PUNCT
dpc-2870	14	1	machine	machine	NOUN
dpc-2870	14	2	learning	learn	VERB
dpc-2870	14	3	algorithms	algorithm	NOUN
dpc-2870	14	4	might	might	AUX
dpc-2870	14	5	represent	represent	VERB
dpc-2870	14	6	an	an	DET
dpc-2870	14	7	innovative	innovative	ADJ
dpc-2870	14	8	solution	solution	NOUN
dpc-2870	14	9	.	.	PUNCT
dpc-2870	15	1	among	among	ADP
dpc-2870	15	2	them	they	PRON
dpc-2870	15	3	,	,	PUNCT
dpc-2870	15	4	support	support	VERB
dpc-2870	15	5	vector	vector	NOUN
dpc-2870	15	6	machine	machine	NOUN
dpc-2870	15	7	(	(	PUNCT
dpc-2870	15	8	svm	svm	ADJ
dpc-2870	15	9	)	)	PUNCT
dpc-2870	15	10	models	model	NOUN
dpc-2870	15	11	are	be	AUX
dpc-2870	15	12	among	among	ADP
dpc-2870	15	13	the	the	DET
dpc-2870	15	14	best	good	ADJ
dpc-2870	15	15	methods	method	NOUN
dpc-2870	15	16	for	for	ADP
dpc-2870	15	17	classification	classification	NOUN
dpc-2870	15	18	.	.	PUNCT
dpc-2870	16	1	objectives	objective	NOUN
dpc-2870	16	2	:	:	PUNCT
dpc-2870	16	3	our	our	PRON
dpc-2870	16	4	aim	aim	NOUN
dpc-2870	16	5	was	be	AUX
dpc-2870	16	6	to	to	PART
dpc-2870	16	7	develop	develop	VERB
dpc-2870	16	8	a	a	DET
dpc-2870	16	9	svm	svm	ADJ
dpc-2870	16	10	algorithm	algorithm	NOUN
dpc-2870	16	11	,	,	PUNCT
dpc-2870	16	12	based	base	VERB
dpc-2870	16	13	on	on	ADP
dpc-2870	16	14	three	three	NUM
dpc-2870	16	15	trichoscopic	trichoscopic	NOUN
dpc-2870	16	16	patterns	pattern	NOUN
dpc-2870	16	17	,	,	PUNCT
dpc-2870	16	18	able	able	ADJ
dpc-2870	16	19	to	to	PART
dpc-2870	16	20	classify	classify	VERB
dpc-2870	16	21	aga	aga	NOUN
dpc-2870	16	22	patients	patient	NOUN
dpc-2870	16	23	and	and	CCONJ
dpc-2870	16	24	to	to	PART
dpc-2870	16	25	calculate	calculate	VERB
dpc-2870	16	26	a	a	DET
dpc-2870	16	27	severity	severity	NOUN
dpc-2870	16	28	index	index	NOUN
dpc-2870	16	29	.	.	PUNCT
dpc-2870	17	1	methods	method	NOUN
dpc-2870	17	2	:	:	PUNCT
dpc-2870	17	3	we	we	PRON
dpc-2870	17	4	retrospectively	retrospectively	ADV
dpc-2870	17	5	analyzed	analyze	VERB
dpc-2870	17	6	trichoscopic	trichoscopic	NOUN
dpc-2870	17	7	images	image	NOUN
dpc-2870	17	8	from	from	ADP
dpc-2870	17	9	200	200	NUM
dpc-2870	17	10	aga	aga	NOUN
dpc-2870	17	11	patients	patient	NOUN
dpc-2870	17	12	using	use	VERB
dpc-2870	17	13	trichoscale	trichoscale	NOUN
dpc-2870	17	14	pro	pro	ADJ
dpc-2870	17	15	®	®	NOUN
dpc-2870	17	16	software	software	NOUN
dpc-2870	17	17	,	,	PUNCT
dpc-2870	17	18	calculating	calculate	VERB
dpc-2870	17	19	the	the	DET
dpc-2870	17	20	number	number	NOUN
dpc-2870	17	21	of	of	ADP
dpc-2870	17	22	vellus	vellus	ADJ
dpc-2870	17	23	hair	hair	NOUN
dpc-2870	17	24	,	,	PUNCT
dpc-2870	17	25	empty	empty	ADJ
dpc-2870	17	26	follicles	follicle	NOUN
dpc-2870	17	27	and	and	CCONJ
dpc-2870	17	28	single	single	ADJ
dpc-2870	17	29	hair	hair	NOUN
dpc-2870	17	30	follicular	follicular	ADJ
dpc-2870	17	31	units	unit	NOUN
dpc-2870	17	32	.	.	PUNCT
dpc-2870	18	1	then	then	ADV
dpc-2870	18	2	,	,	PUNCT
dpc-2870	18	3	we	we	PRON
dpc-2870	18	4	elaborated	elaborate	VERB
dpc-2870	18	5	a	a	DET
dpc-2870	18	6	svm	svm	ADJ
dpc-2870	18	7	model	model	NOUN
dpc-2870	18	8	,	,	PUNCT
dpc-2870	18	9	based	base	VERB
dpc-2870	18	10	on	on	ADP
dpc-2870	18	11	these	these	DET
dpc-2870	18	12	three	three	NUM
dpc-2870	18	13	patterns	pattern	NOUN
dpc-2870	18	14	and	and	CCONJ
dpc-2870	18	15	on	on	ADP
dpc-2870	18	16	sex	sex	NOUN
dpc-2870	18	17	,	,	PUNCT
dpc-2870	18	18	able	able	ADJ
dpc-2870	18	19	to	to	PART
dpc-2870	18	20	classify	classify	VERB
dpc-2870	18	21	patients	patient	NOUN
dpc-2870	18	22	as	as	SCONJ
dpc-2870	18	23	affected	affect	VERB
dpc-2870	18	24	by	by	ADP
dpc-2870	18	25	mild	mild	ADJ
dpc-2870	18	26	aga	aga	NOUN
dpc-2870	18	27	or	or	CCONJ
dpc-2870	18	28	moderate	moderate	ADJ
dpc-2870	18	29	-	-	PUNCT
dpc-2870	18	30	severe	severe	ADJ
dpc-2870	18	31	aga	aga	NOUN
dpc-2870	18	32	,	,	PUNCT
dpc-2870	18	33	and	and	CCONJ
dpc-2870	18	34	able	able	ADJ
dpc-2870	18	35	to	to	PART
dpc-2870	18	36	calculate	calculate	VERB
dpc-2870	18	37	the	the	DET
dpc-2870	18	38	probability	probability	NOUN
dpc-2870	18	39	of	of	ADP
dpc-2870	18	40	the	the	DET
dpc-2870	18	41	classification	classification	NOUN
dpc-2870	18	42	being	be	AUX
dpc-2870	18	43	correct	correct	ADJ
dpc-2870	18	44	,	,	PUNCT
dpc-2870	18	45	expressed	express	VERB
dpc-2870	18	46	as	as	ADP
dpc-2870	18	47	percentage	percentage	NOUN
dpc-2870	18	48	(	(	PUNCT
dpc-2870	18	49	from	from	ADP
dpc-2870	18	50	50	50	NUM
dpc-2870	18	51	%	%	NOUN
dpc-2870	18	52	to	to	PART
dpc-2870	18	53	100	100	NUM
dpc-2870	18	54	%	%	NOUN
dpc-2870	18	55	)	)	PUNCT
dpc-2870	18	56	.	.	PUNCT
dpc-2870	19	1	this	this	DET
dpc-2870	19	2	probability	probability	NOUN
dpc-2870	19	3	estimate	estimate	NOUN
dpc-2870	19	4	is	be	AUX
dpc-2870	19	5	higher	high	ADJ
dpc-2870	19	6	in	in	ADP
dpc-2870	19	7	patients	patient	NOUN
dpc-2870	19	8	with	with	ADP
dpc-2870	19	9	more	more	ADJ
dpc-2870	19	10	aga	aga	NOUN
dpc-2870	19	11	trichoscopic	trichoscopic	NOUN
dpc-2870	19	12	patterns	pattern	NOUN
dpc-2870	19	13	and	and	CCONJ
dpc-2870	19	14	,	,	PUNCT
dpc-2870	19	15	thus	thus	ADV
dpc-2870	19	16	,	,	PUNCT
dpc-2870	19	17	it	it	PRON
dpc-2870	19	18	might	might	AUX
dpc-2870	19	19	serve	serve	VERB
dpc-2870	19	20	as	as	ADP
dpc-2870	19	21	a	a	DET
dpc-2870	19	22	severity	severity	NOUN
dpc-2870	19	23	index	index	NOUN
dpc-2870	19	24	.	.	PUNCT
dpc-2870	20	1	results	result	NOUN
dpc-2870	20	2	:	:	PUNCT
dpc-2870	20	3	for	for	ADP
dpc-2870	20	4	training	training	NOUN
dpc-2870	20	5	and	and	CCONJ
dpc-2870	20	6	test	test	NOUN
dpc-2870	20	7	datasets	dataset	NOUN
dpc-2870	20	8	,	,	PUNCT
dpc-2870	20	9	accuracy	accuracy	NOUN
dpc-2870	20	10	was	be	AUX
dpc-2870	20	11	94.3	94.3	NUM
dpc-2870	20	12	%	%	NOUN
dpc-2870	20	13	and	and	CCONJ
dpc-2870	20	14	90.0	90.0	NUM
dpc-2870	20	15	%	%	NOUN
dpc-2870	20	16	respectively	respectively	ADV
dpc-2870	20	17	,	,	PUNCT
dpc-2870	20	18	while	while	SCONJ
dpc-2870	20	19	the	the	DET
dpc-2870	20	20	area	area	NOUN
dpc-2870	20	21	under	under	ADP
dpc-2870	20	22	the	the	DET
dpc-2870	20	23	curve	curve	NOUN
dpc-2870	20	24	was	be	AUX
dpc-2870	20	25	0.99	0.99	NUM
dpc-2870	20	26	and	and	CCONJ
dpc-2870	20	27	0.95	0.95	NUM
dpc-2870	20	28	respectively	respectively	ADV
dpc-2870	20	29	.	.	PUNCT
dpc-2870	21	1	abstract	abstract	ADJ
dpc-2870	21	2	2	2	NUM
dpc-2870	21	3	original	original	ADJ
dpc-2870	21	4	article	article	NOUN
dpc-2870	21	5	|	|	ADV
dpc-2870	21	6	dermatol	dermatol	ADJ
dpc-2870	21	7	pract	pract	NOUN
dpc-2870	21	8	concept	concept	NOUN
dpc-2870	21	9	.	.	PUNCT
dpc-2870	22	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	22	2	introduction	introduction	NOUN
dpc-2870	22	3	androgenic	androgenic	ADJ
dpc-2870	22	4	alopecia	alopecia	NOUN
dpc-2870	22	5	(	(	PUNCT
dpc-2870	22	6	aga	aga	PROPN
dpc-2870	22	7	)	)	PUNCT
dpc-2870	22	8	is	be	AUX
dpc-2870	22	9	the	the	DET
dpc-2870	22	10	most	most	ADV
dpc-2870	22	11	common	common	ADJ
dpc-2870	22	12	form	form	NOUN
dpc-2870	22	13	of	of	ADP
dpc-2870	22	14	hair	hair	NOUN
dpc-2870	22	15	loss	loss	NOUN
dpc-2870	22	16	,	,	PUNCT
dpc-2870	22	17	affecting	affect	VERB
dpc-2870	22	18	around	around	ADP
dpc-2870	22	19	80	80	NUM
dpc-2870	22	20	%	%	NOUN
dpc-2870	22	21	of	of	ADP
dpc-2870	22	22	men	man	NOUN
dpc-2870	22	23	and	and	CCONJ
dpc-2870	22	24	50	50	NUM
dpc-2870	22	25	%	%	NOUN
dpc-2870	22	26	of	of	ADP
dpc-2870	22	27	women	woman	NOUN
dpc-2870	22	28	in	in	ADP
dpc-2870	22	29	the	the	DET
dpc-2870	22	30	course	course	NOUN
dpc-2870	22	31	of	of	ADP
dpc-2870	22	32	their	their	PRON
dpc-2870	22	33	life	life	NOUN
dpc-2870	22	34	[	[	X
dpc-2870	22	35	1	1	NUM
dpc-2870	22	36	]	]	PUNCT
dpc-2870	22	37	.	.	PUNCT
dpc-2870	23	1	the	the	DET
dpc-2870	23	2	fundamental	fundamental	ADJ
dpc-2870	23	3	role	role	NOUN
dpc-2870	23	4	of	of	ADP
dpc-2870	23	5	androgen	androgen	NOUN
dpc-2870	23	6	hormones	hormone	NOUN
dpc-2870	23	7	and	and	CCONJ
dpc-2870	23	8	genetic	genetic	ADJ
dpc-2870	23	9	susceptibility	susceptibility	NOUN
dpc-2870	23	10	in	in	ADP
dpc-2870	23	11	aga	aga	NOUN
dpc-2870	23	12	pathogenesis	pathogenesis	NOUN
dpc-2870	23	13	has	have	AUX
dpc-2870	23	14	been	be	AUX
dpc-2870	23	15	widely	widely	ADV
dpc-2870	23	16	demonstrated	demonstrate	VERB
dpc-2870	23	17	[	[	PUNCT
dpc-2870	23	18	2	2	NUM
dpc-2870	23	19	]	]	PUNCT
dpc-2870	23	20	.	.	PUNCT
dpc-2870	24	1	nowadays	nowadays	ADV
dpc-2870	24	2	,	,	PUNCT
dpc-2870	24	3	aga	aga	NOUN
dpc-2870	24	4	staging	staging	NOUN
dpc-2870	24	5	is	be	AUX
dpc-2870	24	6	still	still	ADV
dpc-2870	24	7	based	base	VERB
dpc-2870	24	8	on	on	ADP
dpc-2870	24	9	macroscopic	macroscopic	ADJ
dpc-2870	24	10	scales	scale	NOUN
dpc-2870	24	11	,	,	PUNCT
dpc-2870	24	12	like	like	ADP
dpc-2870	24	13	norwood	norwood	PROPN
dpc-2870	24	14	-	-	PUNCT
dpc-2870	24	15	hamilton	hamilton	PROPN
dpc-2870	24	16	for	for	ADP
dpc-2870	24	17	men	man	NOUN
dpc-2870	24	18	and	and	CCONJ
dpc-2870	24	19	sinclair	sinclair	NOUN
dpc-2870	24	20	for	for	ADP
dpc-2870	24	21	women	woman	NOUN
dpc-2870	24	22	[	[	X
dpc-2870	24	23	3,4	3,4	NUM
dpc-2870	24	24	]	]	PUNCT
dpc-2870	24	25	,	,	PUNCT
dpc-2870	24	26	but	but	CCONJ
dpc-2870	24	27	the	the	DET
dpc-2870	24	28	introduction	introduction	NOUN
dpc-2870	24	29	of	of	ADP
dpc-2870	24	30	trichoscopy	trichoscopy	NOUN
dpc-2870	24	31	in	in	ADP
dpc-2870	24	32	scalp	scalp	NOUN
dpc-2870	24	33	examination	examination	NOUN
dpc-2870	24	34	is	be	AUX
dpc-2870	24	35	gradually	gradually	ADV
dpc-2870	24	36	bringing	bring	VERB
dpc-2870	24	37	an	an	DET
dpc-2870	24	38	important	important	ADJ
dpc-2870	24	39	change	change	NOUN
dpc-2870	24	40	.	.	PUNCT
dpc-2870	25	1	analysis	analysis	NOUN
dpc-2870	25	2	of	of	ADP
dpc-2870	25	3	trichoscopic	trichoscopic	NOUN
dpc-2870	25	4	patterns	pattern	NOUN
dpc-2870	25	5	,	,	PUNCT
dpc-2870	25	6	like	like	ADP
dpc-2870	25	7	vellus	vellus	ADJ
dpc-2870	25	8	hairs	hair	NOUN
dpc-2870	25	9	or	or	CCONJ
dpc-2870	25	10	single	single	ADJ
dpc-2870	25	11	hair	hair	NOUN
dpc-2870	25	12	follicular	follicular	ADJ
dpc-2870	25	13	units	unit	NOUN
dpc-2870	25	14	,	,	PUNCT
dpc-2870	25	15	helps	help	VERB
dpc-2870	25	16	dermatologists	dermatologist	VERB
dpc-2870	25	17	better	well	ADJ
dpc-2870	25	18	assess	assess	NOUN
dpc-2870	25	19	disease	disease	NOUN
dpc-2870	25	20	activity	activity	NOUN
dpc-2870	25	21	,	,	PUNCT
dpc-2870	25	22	despite	despite	SCONJ
dpc-2870	25	23	of	of	ADP
dpc-2870	25	24	aga	aga	NOUN
dpc-2870	25	25	extension	extension	NOUN
dpc-2870	25	26	[	[	X
dpc-2870	25	27	5	5	NUM
dpc-2870	25	28	]	]	PUNCT
dpc-2870	25	29	.	.	PUNCT
dpc-2870	26	1	however	however	ADV
dpc-2870	26	2	,	,	PUNCT
dpc-2870	26	3	trichoscopy	trichoscopy	NOUN
dpc-2870	26	4	remains	remain	VERB
dpc-2870	26	5	an	an	DET
dpc-2870	26	6	eyebased	eyebased	ADJ
dpc-2870	26	7	method	method	NOUN
dpc-2870	26	8	.	.	PUNCT
dpc-2870	27	1	in	in	ADP
dpc-2870	27	2	fact	fact	NOUN
dpc-2870	27	3	,	,	PUNCT
dpc-2870	27	4	it	it	PRON
dpc-2870	27	5	is	be	AUX
dpc-2870	27	6	almost	almost	ADV
dpc-2870	27	7	impossible	impossible	ADJ
dpc-2870	27	8	to	to	PART
dpc-2870	27	9	count	count	VERB
dpc-2870	27	10	the	the	DET
dpc-2870	27	11	exact	exact	ADJ
dpc-2870	27	12	number	number	NOUN
dpc-2870	27	13	of	of	ADP
dpc-2870	27	14	patterns	pattern	NOUN
dpc-2870	27	15	that	that	PRON
dpc-2870	27	16	are	be	AUX
dpc-2870	27	17	visualized	visualize	VERB
dpc-2870	27	18	per	per	ADP
dpc-2870	27	19	each	each	DET
dpc-2870	27	20	field	field	NOUN
dpc-2870	27	21	of	of	ADP
dpc-2870	27	22	view	view	NOUN
dpc-2870	27	23	.	.	PUNCT
dpc-2870	28	1	this	this	DET
dpc-2870	28	2	task	task	NOUN
dpc-2870	28	3	can	can	AUX
dpc-2870	28	4	be	be	AUX
dpc-2870	28	5	performed	perform	VERB
dpc-2870	28	6	by	by	ADP
dpc-2870	28	7	recently	recently	ADV
dpc-2870	28	8	developed	develop	VERB
dpc-2870	28	9	artificial	artificial	ADJ
dpc-2870	28	10	intelligence	intelligence	NOUN
dpc-2870	28	11	-	-	PUNCT
dpc-2870	28	12	assisted	assist	VERB
dpc-2870	28	13	programs	program	NOUN
dpc-2870	28	14	for	for	ADP
dpc-2870	28	15	hair	hair	NOUN
dpc-2870	28	16	analysis	analysis	NOUN
dpc-2870	28	17	,	,	PUNCT
dpc-2870	28	18	which	which	PRON
dpc-2870	28	19	can	can	AUX
dpc-2870	28	20	execute	execute	VERB
dpc-2870	28	21	automated	automate	VERB
dpc-2870	28	22	count	count	NOUN
dpc-2870	28	23	of	of	ADP
dpc-2870	28	24	hair	hair	NOUN
dpc-2870	28	25	density	density	NOUN
dpc-2870	28	26	,	,	PUNCT
dpc-2870	28	27	hair	hair	NOUN
dpc-2870	28	28	diameter	diameter	NOUN
dpc-2870	28	29	,	,	PUNCT
dpc-2870	28	30	etc	etc	X
dpc-2870	29	1	[	[	X
dpc-2870	29	2	6,7	6,7	NUM
dpc-2870	29	3	]	]	PUNCT
dpc-2870	29	4	.	.	PUNCT
dpc-2870	30	1	nevertheless	nevertheless	ADV
dpc-2870	30	2	,	,	PUNCT
dpc-2870	30	3	to	to	PART
dpc-2870	30	4	interpret	interpret	VERB
dpc-2870	30	5	data	datum	NOUN
dpc-2870	30	6	generated	generate	VERB
dpc-2870	30	7	by	by	ADP
dpc-2870	30	8	these	these	DET
dpc-2870	30	9	programs	program	NOUN
dpc-2870	30	10	can	can	AUX
dpc-2870	30	11	be	be	AUX
dpc-2870	30	12	complex	complex	ADJ
dpc-2870	30	13	and	and	CCONJ
dpc-2870	30	14	time	time	NOUN
dpc-2870	30	15	consuming	consume	VERB
dpc-2870	30	16	.	.	PUNCT
dpc-2870	31	1	machine	machine	NOUN
dpc-2870	31	2	learning	learn	VERB
dpc-2870	31	3	algorithms	algorithm	NOUN
dpc-2870	31	4	might	might	AUX
dpc-2870	31	5	represent	represent	VERB
dpc-2870	31	6	an	an	DET
dpc-2870	31	7	innovative	innovative	ADJ
dpc-2870	31	8	solution	solution	NOUN
dpc-2870	31	9	.	.	PUNCT
dpc-2870	32	1	these	these	DET
dpc-2870	32	2	models	model	NOUN
dpc-2870	32	3	are	be	AUX
dpc-2870	32	4	generated	generate	VERB
dpc-2870	32	5	from	from	ADP
dpc-2870	32	6	sample	sample	NOUN
dpc-2870	32	7	data	datum	NOUN
dpc-2870	32	8	and	and	CCONJ
dpc-2870	32	9	their	their	PRON
dpc-2870	32	10	purpose	purpose	NOUN
dpc-2870	32	11	is	be	AUX
dpc-2870	32	12	to	to	PART
dpc-2870	32	13	make	make	VERB
dpc-2870	32	14	predictions	prediction	NOUN
dpc-2870	32	15	or	or	CCONJ
dpc-2870	32	16	decisions	decision	NOUN
dpc-2870	32	17	without	without	ADP
dpc-2870	32	18	being	be	AUX
dpc-2870	32	19	explicitly	explicitly	ADV
dpc-2870	32	20	programmed	program	VERB
dpc-2870	32	21	to	to	PART
dpc-2870	32	22	do	do	VERB
dpc-2870	32	23	so	so	ADV
dpc-2870	32	24	.	.	PUNCT
dpc-2870	33	1	among	among	ADP
dpc-2870	33	2	them	they	PRON
dpc-2870	33	3	,	,	PUNCT
dpc-2870	33	4	support	support	VERB
dpc-2870	33	5	vector	vector	NOUN
dpc-2870	33	6	machine	machine	NOUN
dpc-2870	33	7	(	(	PUNCT
dpc-2870	33	8	svm	svm	ADJ
dpc-2870	33	9	)	)	PUNCT
dpc-2870	33	10	models	model	NOUN
dpc-2870	33	11	are	be	AUX
dpc-2870	33	12	among	among	ADP
dpc-2870	33	13	the	the	DET
dpc-2870	33	14	best	good	ADJ
dpc-2870	33	15	methods	method	NOUN
dpc-2870	33	16	for	for	ADP
dpc-2870	33	17	classification	classification	NOUN
dpc-2870	33	18	  	  	SPACE
dpc-2870	33	19	[	[	X
dpc-2870	33	20	8	8	NUM
dpc-2870	33	21	]	]	PUNCT
dpc-2870	33	22	.	.	PUNCT
dpc-2870	34	1	simply	simply	ADV
dpc-2870	34	2	explained	explain	VERB
dpc-2870	34	3	,	,	PUNCT
dpc-2870	34	4	given	give	VERB
dpc-2870	34	5	a	a	DET
dpc-2870	34	6	set	set	NOUN
dpc-2870	34	7	of	of	ADP
dpc-2870	34	8	subjects	subject	NOUN
dpc-2870	34	9	labelled	label	VERB
dpc-2870	34	10	as	as	ADP
dpc-2870	34	11	belonging	belong	VERB
dpc-2870	34	12	to	to	ADP
dpc-2870	34	13	one	one	NUM
dpc-2870	34	14	of	of	ADP
dpc-2870	34	15	two	two	NUM
dpc-2870	34	16	categories	category	NOUN
dpc-2870	34	17	(	(	PUNCT
dpc-2870	34	18	training	training	NOUN
dpc-2870	34	19	dataset	dataset	NOUN
dpc-2870	34	20	)	)	PUNCT
dpc-2870	34	21	,	,	PUNCT
dpc-2870	34	22	svm	svm	ADJ
dpc-2870	34	23	algorithms	algorithm	NOUN
dpc-2870	34	24	are	be	AUX
dpc-2870	34	25	able	able	ADJ
dpc-2870	34	26	to	to	PART
dpc-2870	34	27	assign	assign	VERB
dpc-2870	34	28	new	new	ADJ
dpc-2870	34	29	subjects	subject	NOUN
dpc-2870	34	30	(	(	PUNCT
dpc-2870	34	31	test	test	NOUN
dpc-2870	34	32	dataset	dataset	NOUN
dpc-2870	34	33	)	)	PUNCT
dpc-2870	34	34	to	to	ADP
dpc-2870	34	35	one	one	NUM
dpc-2870	34	36	of	of	ADP
dpc-2870	34	37	the	the	DET
dpc-2870	34	38	previous	previous	ADJ
dpc-2870	34	39	categories	category	NOUN
dpc-2870	34	40	.	.	PUNCT
dpc-2870	35	1	objectives	objective	VERB
dpc-2870	35	2	our	our	PRON
dpc-2870	35	3	objective	objective	NOUN
dpc-2870	35	4	was	be	AUX
dpc-2870	35	5	to	to	PART
dpc-2870	35	6	develop	develop	VERB
dpc-2870	35	7	a	a	DET
dpc-2870	35	8	svm	svm	ADJ
dpc-2870	35	9	algorithm	algorithm	NOUN
dpc-2870	35	10	,	,	PUNCT
dpc-2870	35	11	based	base	VERB
dpc-2870	35	12	on	on	ADP
dpc-2870	35	13	three	three	NUM
dpc-2870	35	14	trichoscopic	trichoscopic	NOUN
dpc-2870	35	15	patterns	pattern	NOUN
dpc-2870	35	16	,	,	PUNCT
dpc-2870	35	17	which	which	PRON
dpc-2870	35	18	could	could	AUX
dpc-2870	35	19	classify	classify	VERB
dpc-2870	35	20	patients	patient	NOUN
dpc-2870	35	21	as	as	SCONJ
dpc-2870	35	22	affected	affect	VERB
dpc-2870	35	23	by	by	ADP
dpc-2870	35	24	mild	mild	ADJ
dpc-2870	35	25	aga	aga	NOUN
dpc-2870	35	26	or	or	CCONJ
dpc-2870	35	27	moderate	moderate	ADJ
dpc-2870	35	28	-	-	PUNCT
dpc-2870	35	29	severe	severe	ADJ
dpc-2870	35	30	aga	aga	NOUN
dpc-2870	35	31	and	and	CCONJ
dpc-2870	35	32	could	could	AUX
dpc-2870	35	33	elaborate	elaborate	VERB
dpc-2870	35	34	a	a	DET
dpc-2870	35	35	severity	severity	NOUN
dpc-2870	35	36	index	index	NOUN
dpc-2870	35	37	for	for	ADP
dpc-2870	35	38	each	each	DET
dpc-2870	35	39	patient	patient	NOUN
dpc-2870	35	40	.	.	PUNCT
dpc-2870	36	1	methods	method	NOUN
dpc-2870	36	2	in	in	ADP
dpc-2870	36	3	this	this	DET
dpc-2870	36	4	single	single	ADJ
dpc-2870	36	5	-	-	PUNCT
dpc-2870	36	6	center	center	NOUN
dpc-2870	36	7	observational	observational	ADJ
dpc-2870	36	8	retrospective	retrospective	ADJ
dpc-2870	36	9	study	study	NOUN
dpc-2870	36	10	we	we	PRON
dpc-2870	36	11	analyzed	analyze	VERB
dpc-2870	36	12	trichoscopic	trichoscopic	NOUN
dpc-2870	36	13	images	image	NOUN
dpc-2870	36	14	from	from	ADP
dpc-2870	36	15	200	200	NUM
dpc-2870	36	16	patients	patient	NOUN
dpc-2870	36	17	(	(	PUNCT
dpc-2870	36	18	100	100	NUM
dpc-2870	36	19	males	male	NOUN
dpc-2870	36	20	and	and	CCONJ
dpc-2870	36	21	100	100	NUM
dpc-2870	36	22	females	female	NOUN
dpc-2870	36	23	)	)	PUNCT
dpc-2870	36	24	affected	affect	VERB
dpc-2870	36	25	by	by	ADP
dpc-2870	36	26	aga	aga	PROPN
dpc-2870	36	27	.	.	PUNCT
dpc-2870	37	1	clinical	clinical	ADJ
dpc-2870	37	2	(	(	PUNCT
dpc-2870	37	3	macroscopic	macroscopic	ADJ
dpc-2870	37	4	)	)	PUNCT
dpc-2870	37	5	disease	disease	NOUN
dpc-2870	37	6	severity	severity	NOUN
dpc-2870	37	7	was	be	AUX
dpc-2870	37	8	assessed	assess	VERB
dpc-2870	37	9	using	use	VERB
dpc-2870	37	10	norwood	norwood	PROPN
dpc-2870	37	11	-	-	PUNCT
dpc-2870	37	12	hamilton	hamilton	PROPN
dpc-2870	37	13	scale	scale	NOUN
dpc-2870	37	14	for	for	ADP
dpc-2870	37	15	men	man	NOUN
dpc-2870	37	16	and	and	CCONJ
dpc-2870	37	17	sinclair	sinclair	NOUN
dpc-2870	37	18	scale	scale	NOUN
dpc-2870	37	19	for	for	ADP
dpc-2870	37	20	women	woman	NOUN
dpc-2870	37	21	.	.	PUNCT
dpc-2870	38	1	fifty	fifty	NUM
dpc-2870	38	2	male	male	ADJ
dpc-2870	38	3	patients	patient	NOUN
dpc-2870	38	4	were	be	AUX
dpc-2870	38	5	affected	affect	VERB
dpc-2870	38	6	by	by	ADP
dpc-2870	38	7	mild	mild	ADJ
dpc-2870	38	8	aga	aga	NOUN
dpc-2870	38	9	(	(	PUNCT
dpc-2870	38	10	20	20	NUM
dpc-2870	38	11	classified	classify	VERB
dpc-2870	38	12	as	as	ADP
dpc-2870	38	13	stage	stage	NOUN
dpc-2870	38	14	i	i	PRON
dpc-2870	38	15	and	and	CCONJ
dpc-2870	38	16	30	30	NUM
dpc-2870	38	17	as	as	ADP
dpc-2870	38	18	stage	stage	NOUN
dpc-2870	38	19	ii	ii	PROPN
dpc-2870	38	20	)	)	PUNCT
dpc-2870	38	21	and	and	CCONJ
dpc-2870	38	22	50	50	NUM
dpc-2870	38	23	by	by	ADP
dpc-2870	38	24	moderate	moderate	ADJ
dpc-2870	38	25	-	-	PUNCT
dpc-2870	38	26	severe	severe	ADJ
dpc-2870	38	27	aga	aga	NOUN
dpc-2870	38	28	(	(	PUNCT
dpc-2870	38	29	30	30	NUM
dpc-2870	38	30	classified	classify	VERB
dpc-2870	38	31	as	as	ADP
dpc-2870	38	32	stage	stage	NOUN
dpc-2870	38	33	iv	iv	NUM
dpc-2870	38	34	and	and	CCONJ
dpc-2870	38	35	20	20	NUM
dpc-2870	38	36	as	as	ADP
dpc-2870	38	37	stage	stage	NOUN
dpc-2870	38	38	v	v	NOUN
dpc-2870	38	39	)	)	PUNCT
dpc-2870	38	40	.	.	PUNCT
dpc-2870	39	1	as	as	ADP
dpc-2870	39	2	for	for	ADP
dpc-2870	39	3	men	man	NOUN
dpc-2870	39	4	,	,	PUNCT
dpc-2870	39	5	women	woman	NOUN
dpc-2870	39	6	patients	patient	NOUN
dpc-2870	39	7	were	be	AUX
dpc-2870	39	8	equally	equally	ADV
dpc-2870	39	9	affected	affect	VERB
dpc-2870	39	10	by	by	ADP
dpc-2870	39	11	mild	mild	ADJ
dpc-2870	39	12	aga	aga	NOUN
dpc-2870	39	13	(	(	PUNCT
dpc-2870	39	14	50	50	NUM
dpc-2870	39	15	classified	classify	VERB
dpc-2870	39	16	as	as	ADP
dpc-2870	39	17	stage	stage	NOUN
dpc-2870	39	18	ii	ii	PROPN
dpc-2870	39	19	)	)	PUNCT
dpc-2870	39	20	and	and	CCONJ
dpc-2870	39	21	moderate	moderate	ADJ
dpc-2870	39	22	-	-	PUNCT
dpc-2870	39	23	severe	severe	ADJ
dpc-2870	39	24	aga	aga	NOUN
dpc-2870	39	25	(	(	PUNCT
dpc-2870	39	26	50	50	NUM
dpc-2870	39	27	classified	classify	VERB
dpc-2870	39	28	as	as	ADP
dpc-2870	39	29	stage	stage	NOUN
dpc-2870	39	30	iv	iv	NUM
dpc-2870	39	31	)	)	PUNCT
dpc-2870	39	32	.	.	PUNCT
dpc-2870	40	1	at	at	ADP
dpc-2870	40	2	the	the	DET
dpc-2870	40	3	time	time	NOUN
dpc-2870	40	4	of	of	ADP
dpc-2870	40	5	analysis	analysis	NOUN
dpc-2870	40	6	,	,	PUNCT
dpc-2870	40	7	patients	patient	NOUN
dpc-2870	40	8	were	be	AUX
dpc-2870	40	9	naïve	naïve	ADJ
dpc-2870	40	10	to	to	ADP
dpc-2870	40	11	any	any	DET
dpc-2870	40	12	treatment	treatment	NOUN
dpc-2870	40	13	for	for	ADP
dpc-2870	40	14	aga	aga	NOUN
dpc-2870	40	15	and	and	CCONJ
dpc-2870	40	16	were	be	AUX
dpc-2870	40	17	not	not	PART
dpc-2870	40	18	affected	affect	VERB
dpc-2870	40	19	by	by	ADP
dpc-2870	40	20	any	any	DET
dpc-2870	40	21	other	other	ADJ
dpc-2870	40	22	scalp	scalp	NOUN
dpc-2870	40	23	disease	disease	NOUN
dpc-2870	40	24	.	.	PUNCT
dpc-2870	41	1	patients	patient	NOUN
dpc-2870	41	2	images	image	NOUN
dpc-2870	41	3	were	be	AUX
dpc-2870	41	4	collected	collect	VERB
dpc-2870	41	5	in	in	ADP
dpc-2870	41	6	our	our	PRON
dpc-2870	41	7	outpatient	outpatient	NOUN
dpc-2870	41	8	clinic	clinic	NOUN
dpc-2870	41	9	from	from	ADP
dpc-2870	41	10	september	september	PROPN
dpc-2870	41	11	2019	2019	NUM
dpc-2870	41	12	to	to	ADP
dpc-2870	41	13	december	december	PROPN
dpc-2870	41	14	2021	2021	NUM
dpc-2870	41	15	.	.	PUNCT
dpc-2870	42	1	the	the	DET
dpc-2870	42	2	scalp	scalp	NOUN
dpc-2870	42	3	of	of	ADP
dpc-2870	42	4	all	all	DET
dpc-2870	42	5	subjects	subject	NOUN
dpc-2870	42	6	was	be	AUX
dpc-2870	42	7	combed	comb	VERB
dpc-2870	42	8	along	along	ADP
dpc-2870	42	9	the	the	DET
dpc-2870	42	10	midline	midline	NOUN
dpc-2870	42	11	to	to	ADP
dpc-2870	42	12	the	the	DET
dpc-2870	42	13	sides	side	NOUN
dpc-2870	42	14	and	and	CCONJ
dpc-2870	42	15	evaluated	evaluate	VERB
dpc-2870	42	16	using	use	VERB
dpc-2870	42	17	the	the	DET
dpc-2870	42	18	video	video	NOUN
dpc-2870	42	19	-	-	PUNCT
dpc-2870	42	20	dermoscope	dermoscope	NOUN
dpc-2870	42	21	medicam	medicam	NOUN
dpc-2870	42	22	1000	1000	NUM
dpc-2870	42	23	®	®	NOUN
dpc-2870	42	24	(	(	PUNCT
dpc-2870	42	25	fotofinder	fotofinder	NOUN
dpc-2870	42	26	systems	system	NOUN
dpc-2870	42	27	gmbh	gmbh	PROPN
dpc-2870	42	28	)	)	PUNCT
dpc-2870	42	29	.	.	PUNCT
dpc-2870	43	1	digital	digital	ADJ
dpc-2870	43	2	trichoscopic	trichoscopic	NOUN
dpc-2870	43	3	photographs	photograph	NOUN
dpc-2870	43	4	were	be	AUX
dpc-2870	43	5	obtained	obtain	VERB
dpc-2870	43	6	in	in	ADP
dpc-2870	43	7	standardized	standardized	ADJ
dpc-2870	43	8	scalp	scalp	NOUN
dpc-2870	43	9	areas	area	NOUN
dpc-2870	43	10	according	accord	VERB
dpc-2870	43	11	to	to	ADP
dpc-2870	43	12	the	the	DET
dpc-2870	43	13	patient	patient	ADJ
dpc-2870	43	14	sex	sex	NOUN
dpc-2870	43	15	.	.	PUNCT
dpc-2870	44	1	in	in	ADP
dpc-2870	44	2	women	woman	NOUN
dpc-2870	44	3	,	,	PUNCT
dpc-2870	44	4	this	this	DET
dpc-2870	44	5	area	area	NOUN
dpc-2870	44	6	corresponded	correspond	VERB
dpc-2870	44	7	to	to	ADP
dpc-2870	44	8	the	the	DET
dpc-2870	44	9	intersection	intersection	NOUN
dpc-2870	44	10	point	point	NOUN
dpc-2870	44	11	between	between	ADP
dpc-2870	44	12	the	the	DET
dpc-2870	44	13	line	line	NOUN
dpc-2870	44	14	connecting	connect	VERB
dpc-2870	44	15	the	the	DET
dpc-2870	44	16	ears	ear	NOUN
dpc-2870	44	17	and	and	CCONJ
dpc-2870	44	18	the	the	DET
dpc-2870	44	19	line	line	NOUN
dpc-2870	44	20	connecting	connect	VERB
dpc-2870	44	21	the	the	DET
dpc-2870	44	22	tip	tip	NOUN
dpc-2870	44	23	of	of	ADP
dpc-2870	44	24	the	the	DET
dpc-2870	44	25	nose	nose	NOUN
dpc-2870	44	26	to	to	ADP
dpc-2870	44	27	the	the	DET
dpc-2870	44	28	vertex	vertex	NOUN
dpc-2870	44	29	.	.	PUNCT
dpc-2870	45	1	in	in	ADP
dpc-2870	45	2	men	man	NOUN
dpc-2870	45	3	,	,	PUNCT
dpc-2870	45	4	the	the	DET
dpc-2870	45	5	area	area	NOUN
dpc-2870	45	6	was	be	AUX
dpc-2870	45	7	localized	localize	VERB
dpc-2870	45	8	two	two	NUM
dpc-2870	45	9	centimeters	centimeter	NOUN
dpc-2870	45	10	ahead	ahead	ADV
dpc-2870	45	11	of	of	ADP
dpc-2870	45	12	the	the	DET
dpc-2870	45	13	point	point	NOUN
dpc-2870	45	14	previously	previously	ADV
dpc-2870	45	15	described	describe	VERB
dpc-2870	45	16	for	for	ADP
dpc-2870	45	17	women	woman	NOUN
dpc-2870	45	18	.	.	PUNCT
dpc-2870	46	1	field	field	NOUN
dpc-2870	46	2	of	of	ADP
dpc-2870	46	3	view	view	NOUN
dpc-2870	46	4	area	area	NOUN
dpc-2870	46	5	was	be	AUX
dpc-2870	46	6	equivalent	equivalent	ADJ
dpc-2870	46	7	to	to	ADP
dpc-2870	46	8	0.903	0.903	NUM
dpc-2870	46	9	cm2	cm2	NOUN
dpc-2870	46	10	.	.	PROPN
dpc-2870	46	11	photographs	photograph	NOUN
dpc-2870	46	12	were	be	AUX
dpc-2870	46	13	collected	collect	VERB
dpc-2870	46	14	at	at	ADP
dpc-2870	46	15	20	20	NUM
dpc-2870	46	16	-	-	ADJ
dpc-2870	46	17	fold	fold	ADJ
dpc-2870	46	18	magnification	magnification	NOUN
dpc-2870	46	19	.	.	PUNCT
dpc-2870	47	1	each	each	DET
dpc-2870	47	2	trichoscopic	trichoscopic	NOUN
dpc-2870	47	3	image	image	NOUN
dpc-2870	47	4	was	be	AUX
dpc-2870	47	5	analyzed	analyze	VERB
dpc-2870	47	6	with	with	ADP
dpc-2870	47	7	trichoscale	trichoscale	ADJ
dpc-2870	47	8	pro	pro	ADJ
dpc-2870	47	9	®	®	NOUN
dpc-2870	47	10	software	software	NOUN
dpc-2870	47	11	(	(	PUNCT
dpc-2870	47	12	fotofinder	fotofinder	NOUN
dpc-2870	47	13	systems	system	NOUN
dpc-2870	47	14	gmbh	gmbh	PROPN
dpc-2870	47	15	)	)	PUNCT
dpc-2870	47	16	,	,	PUNCT
dpc-2870	47	17	which	which	PRON
dpc-2870	47	18	allows	allow	VERB
dpc-2870	47	19	to	to	PART
dpc-2870	47	20	perform	perform	VERB
dpc-2870	47	21	accurate	accurate	ADJ
dpc-2870	47	22	automatic	automatic	ADJ
dpc-2870	47	23	measurements	measurement	NOUN
dpc-2870	47	24	of	of	ADP
dpc-2870	47	25	scalp	scalp	NOUN
dpc-2870	47	26	structures	structure	NOUN
dpc-2870	47	27	,	,	PUNCT
dpc-2870	47	28	with	with	ADP
dpc-2870	47	29	subsequent	subsequent	ADJ
dpc-2870	47	30	manual	manual	ADJ
dpc-2870	47	31	verification	verification	NOUN
dpc-2870	47	32	.	.	PUNCT
dpc-2870	48	1	in	in	ADP
dpc-2870	48	2	our	our	PRON
dpc-2870	48	3	study	study	NOUN
dpc-2870	48	4	,	,	PUNCT
dpc-2870	48	5	we	we	PRON
dpc-2870	48	6	considered	consider	VERB
dpc-2870	48	7	the	the	DET
dpc-2870	48	8	following	follow	VERB
dpc-2870	48	9	trichoscopic	trichoscopic	NOUN
dpc-2870	48	10	patterns	pattern	NOUN
dpc-2870	48	11	:	:	PUNCT
dpc-2870	48	12	1	1	X
dpc-2870	48	13	.	.	X
dpc-2870	48	14	vellus	vellus	ADJ
dpc-2870	48	15	hairs	hair	NOUN
dpc-2870	48	16	(	(	PUNCT
dpc-2870	48	17	vellus	vellus	ADJ
dpc-2870	48	18	hairs	hair	NOUN
dpc-2870	48	19	/	/	SYM
dpc-2870	48	20	total	total	ADJ
dpc-2870	48	21	hairs	hair	NOUN
dpc-2870	48	22	ratio	ratio	NOUN
dpc-2870	48	23	,	,	PUNCT
dpc-2870	48	24	expressed	express	VERB
dpc-2870	48	25	as	as	ADP
dpc-2870	48	26	percentage	percentage	NOUN
dpc-2870	48	27	)	)	PUNCT
dpc-2870	48	28	;	;	PUNCT
dpc-2870	48	29	2	2	X
dpc-2870	48	30	.	.	X
dpc-2870	48	31	single	single	ADJ
dpc-2870	48	32	hair	hair	NOUN
dpc-2870	48	33	follicular	follicular	ADJ
dpc-2870	48	34	units	unit	NOUN
dpc-2870	48	35	(	(	PUNCT
dpc-2870	48	36	single	single	ADJ
dpc-2870	48	37	hair	hair	NOUN
dpc-2870	48	38	follicular	follicular	ADJ
dpc-2870	48	39	units	unit	NOUN
dpc-2870	48	40	/	/	SYM
dpc-2870	48	41	total	total	ADJ
dpc-2870	48	42	follicular	follicular	ADJ
dpc-2870	48	43	units	unit	NOUN
dpc-2870	48	44	ratio	ratio	NOUN
dpc-2870	48	45	,	,	PUNCT
dpc-2870	48	46	expressed	express	VERB
dpc-2870	48	47	as	as	ADP
dpc-2870	48	48	percentage	percentage	NOUN
dpc-2870	48	49	)	)	PUNCT
dpc-2870	48	50	;	;	PUNCT
dpc-2870	48	51	3	3	X
dpc-2870	48	52	.	.	NOUN
dpc-2870	48	53	empty	empty	ADJ
dpc-2870	48	54	follicles	follicle	NOUN
dpc-2870	48	55	(	(	PUNCT
dpc-2870	48	56	number	number	NOUN
dpc-2870	48	57	of	of	ADP
dpc-2870	48	58	empty	empty	ADJ
dpc-2870	48	59	follicles	follicle	NOUN
dpc-2870	48	60	)	)	PUNCT
dpc-2870	48	61	.	.	PUNCT
dpc-2870	49	1	we	we	PRON
dpc-2870	49	2	elaborated	elaborate	VERB
dpc-2870	49	3	a	a	DET
dpc-2870	49	4	svm	svm	ADJ
dpc-2870	49	5	model	model	NOUN
dpc-2870	49	6	based	base	VERB
dpc-2870	49	7	on	on	ADP
dpc-2870	49	8	these	these	DET
dpc-2870	49	9	three	three	NUM
dpc-2870	49	10	patterns	pattern	NOUN
dpc-2870	49	11	and	and	CCONJ
dpc-2870	49	12	on	on	ADP
dpc-2870	49	13	sex	sex	NOUN
dpc-2870	49	14	.	.	PUNCT
dpc-2870	50	1	this	this	DET
dpc-2870	50	2	model	model	NOUN
dpc-2870	50	3	is	be	AUX
dpc-2870	50	4	able	able	ADJ
dpc-2870	50	5	to	to	PART
dpc-2870	50	6	classify	classify	VERB
dpc-2870	50	7	each	each	DET
dpc-2870	50	8	patient	patient	NOUN
dpc-2870	50	9	as	as	SCONJ
dpc-2870	50	10	affected	affect	VERB
dpc-2870	50	11	by	by	ADP
dpc-2870	50	12	mild	mild	ADJ
dpc-2870	50	13	aga	aga	NOUN
dpc-2870	50	14	or	or	CCONJ
dpc-2870	50	15	moderate	moderate	ADJ
dpc-2870	50	16	-	-	PUNCT
dpc-2870	50	17	severe	severe	ADJ
dpc-2870	50	18	aga	aga	NOUN
dpc-2870	50	19	.	.	PUNCT
dpc-2870	51	1	for	for	ADP
dpc-2870	51	2	each	each	DET
dpc-2870	51	3	subject	subject	NOUN
dpc-2870	51	4	,	,	PUNCT
dpc-2870	51	5	the	the	DET
dpc-2870	51	6	algorithm	algorithm	NOUN
dpc-2870	51	7	also	also	ADV
dpc-2870	51	8	calculates	calculate	VERB
dpc-2870	51	9	the	the	DET
dpc-2870	51	10	probability	probability	NOUN
dpc-2870	51	11	of	of	ADP
dpc-2870	51	12	the	the	DET
dpc-2870	51	13	classification	classification	NOUN
dpc-2870	51	14	being	be	AUX
dpc-2870	51	15	correct	correct	ADJ
dpc-2870	51	16	(	(	PUNCT
dpc-2870	51	17	from	from	ADP
dpc-2870	51	18	this	this	DET
dpc-2870	51	19	point	point	NOUN
dpc-2870	51	20	on	on	ADP
dpc-2870	51	21	referred	refer	VERB
dpc-2870	51	22	to	to	ADP
dpc-2870	51	23	as	as	ADP
dpc-2870	51	24	“	"	PUNCT
dpc-2870	51	25	probability	probability	NOUN
dpc-2870	51	26	estimate	estimate	NOUN
dpc-2870	51	27	”	"	PUNCT
dpc-2870	51	28	)	)	PUNCT
dpc-2870	51	29	,	,	PUNCT
dpc-2870	51	30	expressed	express	VERB
dpc-2870	51	31	as	as	ADP
dpc-2870	51	32	percentage	percentage	NOUN
dpc-2870	51	33	,	,	PUNCT
dpc-2870	51	34	ranging	range	VERB
dpc-2870	51	35	from	from	ADP
dpc-2870	51	36	50	50	NUM
dpc-2870	51	37	%	%	NOUN
dpc-2870	51	38	(	(	PUNCT
dpc-2870	51	39	unreliable	unreliable	ADJ
dpc-2870	51	40	classification	classification	NOUN
dpc-2870	51	41	)	)	PUNCT
dpc-2870	51	42	to	to	ADP
dpc-2870	51	43	100	100	NUM
dpc-2870	51	44	%	%	NOUN
dpc-2870	51	45	(	(	PUNCT
dpc-2870	51	46	exact	exact	ADJ
dpc-2870	51	47	classification	classification	NOUN
dpc-2870	51	48	)	)	PUNCT
dpc-2870	51	49	.	.	PUNCT
dpc-2870	52	1	as	as	ADP
dpc-2870	52	2	common	common	ADJ
dpc-2870	52	3	practice	practice	NOUN
dpc-2870	52	4	for	for	ADP
dpc-2870	52	5	these	these	DET
dpc-2870	52	6	kinds	kind	NOUN
dpc-2870	52	7	of	of	ADP
dpc-2870	52	8	models	model	NOUN
dpc-2870	52	9	[	[	X
dpc-2870	52	10	8	8	NUM
dpc-2870	52	11	]	]	PUNCT
dpc-2870	52	12	,	,	PUNCT
dpc-2870	52	13	population	population	NOUN
dpc-2870	52	14	was	be	AUX
dpc-2870	52	15	split	split	VERB
dpc-2870	52	16	into	into	ADP
dpc-2870	52	17	70	70	NUM
dpc-2870	52	18	%	%	NOUN
dpc-2870	52	19	(	(	PUNCT
dpc-2870	52	20	n	n	NOUN
dpc-2870	52	21	=	=	SYM
dpc-2870	52	22	140	140	NUM
dpc-2870	52	23	)	)	PUNCT
dpc-2870	52	24	as	as	ADP
dpc-2870	52	25	training	training	NOUN
dpc-2870	52	26	and	and	CCONJ
dpc-2870	52	27	30	30	NUM
dpc-2870	52	28	%	%	NOUN
dpc-2870	52	29	(	(	PUNCT
dpc-2870	52	30	n	n	CCONJ
dpc-2870	52	31	  	  	SPACE
dpc-2870	52	32	=	=	SYM
dpc-2870	52	33	60	60	NUM
dpc-2870	52	34	)	)	PUNCT
dpc-2870	52	35	as	as	SCONJ
dpc-2870	52	36	test	test	NOUN
dpc-2870	52	37	set	set	VERB
dpc-2870	52	38	.	.	PUNCT
dpc-2870	53	1	for	for	ADP
dpc-2870	53	2	each	each	DET
dpc-2870	53	3	dataset	dataset	NOUN
dpc-2870	53	4	,	,	PUNCT
dpc-2870	53	5	we	we	PRON
dpc-2870	53	6	calculated	calculate	VERB
dpc-2870	53	7	the	the	DET
dpc-2870	53	8	following	follow	VERB
dpc-2870	53	9	performance	performance	NOUN
dpc-2870	53	10	evaluation	evaluation	NOUN
dpc-2870	53	11	metrics	metric	NOUN
dpc-2870	53	12	:	:	PUNCT
dpc-2870	53	13	sensitivity	sensitivity	NOUN
dpc-2870	53	14	(	(	PUNCT
dpc-2870	53	15	corresponding	correspond	VERB
dpc-2870	53	16	conclusions	conclusion	NOUN
dpc-2870	53	17	:	:	PUNCT
dpc-2870	53	18	we	we	PRON
dpc-2870	53	19	believe	believe	VERB
dpc-2870	53	20	our	our	PRON
dpc-2870	53	21	svm	svm	ADJ
dpc-2870	53	22	model	model	NOUN
dpc-2870	53	23	could	could	AUX
dpc-2870	53	24	be	be	AUX
dpc-2870	53	25	of	of	ADP
dpc-2870	53	26	great	great	ADJ
dpc-2870	53	27	support	support	NOUN
dpc-2870	53	28	for	for	ADP
dpc-2870	53	29	dermatologists	dermatologist	NOUN
dpc-2870	53	30	in	in	ADP
dpc-2870	53	31	the	the	DET
dpc-2870	53	32	management	management	NOUN
dpc-2870	53	33	of	of	ADP
dpc-2870	53	34	aga	aga	NOUN
dpc-2870	53	35	,	,	PUNCT
dpc-2870	53	36	especially	especially	ADV
dpc-2870	53	37	in	in	ADP
dpc-2870	53	38	better	well	ADJ
dpc-2870	53	39	assessing	assess	VERB
dpc-2870	53	40	disease	disease	NOUN
dpc-2870	53	41	severity	severity	NOUN
dpc-2870	53	42	and	and	CCONJ
dpc-2870	53	43	,	,	PUNCT
dpc-2870	53	44	thus	thus	ADV
dpc-2870	53	45	,	,	PUNCT
dpc-2870	53	46	in	in	ADP
dpc-2870	53	47	prescribing	prescribe	VERB
dpc-2870	53	48	a	a	DET
dpc-2870	53	49	more	more	ADV
dpc-2870	53	50	appropriate	appropriate	ADJ
dpc-2870	53	51	therapy	therapy	NOUN
dpc-2870	53	52	.	.	PUNCT
dpc-2870	54	1	original	original	ADJ
dpc-2870	54	2	article	article	NOUN
dpc-2870	54	3	|	|	ADV
dpc-2870	54	4	dermatol	dermatol	ADJ
dpc-2870	54	5	pract	pract	NOUN
dpc-2870	54	6	concept	concept	NOUN
dpc-2870	54	7	.	.	PUNCT
dpc-2870	55	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	55	2	3	3	NUM
dpc-2870	55	3	to	to	PART
dpc-2870	55	4	recall	recall	VERB
dpc-2870	55	5	)	)	PUNCT
dpc-2870	55	6	,	,	PUNCT
dpc-2870	55	7	specificity	specificity	NOUN
dpc-2870	55	8	,	,	PUNCT
dpc-2870	55	9	positive	positive	ADJ
dpc-2870	55	10	predictive	predictive	ADJ
dpc-2870	55	11	value	value	NOUN
dpc-2870	55	12	(	(	PUNCT
dpc-2870	55	13	corresponding	correspond	VERB
dpc-2870	55	14	to	to	ADP
dpc-2870	55	15	precision	precision	NOUN
dpc-2870	55	16	)	)	PUNCT
dpc-2870	55	17	,	,	PUNCT
dpc-2870	55	18	negative	negative	ADJ
dpc-2870	55	19	predictive	predictive	ADJ
dpc-2870	55	20	value	value	NOUN
dpc-2870	55	21	,	,	PUNCT
dpc-2870	55	22	accuracy	accuracy	NOUN
dpc-2870	55	23	,	,	PUNCT
dpc-2870	55	24	receiver	receiver	NOUN
dpc-2870	55	25	operating	operate	VERB
dpc-2870	55	26	characteristic	characteristic	ADJ
dpc-2870	55	27	curve	curve	NOUN
dpc-2870	55	28	(	(	PUNCT
dpc-2870	55	29	roc	roc	PROPN
dpc-2870	55	30	)	)	PUNCT
dpc-2870	55	31	curve	curve	NOUN
dpc-2870	55	32	analysis	analysis	NOUN
dpc-2870	55	33	.	.	PUNCT
dpc-2870	56	1	svm	svm	PROPN
dpc-2870	56	2	model	model	PROPN
dpc-2870	56	3	code	code	PROPN
dpc-2870	56	4	is	be	AUX
dpc-2870	56	5	available	available	ADJ
dpc-2870	56	6	upon	upon	SCONJ
dpc-2870	56	7	direct	direct	ADJ
dpc-2870	56	8	request	request	NOUN
dpc-2870	56	9	to	to	ADP
dpc-2870	56	10	the	the	DET
dpc-2870	56	11	authors	author	NOUN
dpc-2870	56	12	.	.	PUNCT
dpc-2870	57	1	statistical	statistical	ADJ
dpc-2870	57	2	analysis	analysis	NOUN
dpc-2870	57	3	mann	mann	PROPN
dpc-2870	57	4	-	-	PUNCT
dpc-2870	57	5	whitney	whitney	PROPN
dpc-2870	57	6	u	u	PROPN
dpc-2870	57	7	test	test	NOUN
dpc-2870	57	8	was	be	AUX
dpc-2870	57	9	used	use	VERB
dpc-2870	57	10	for	for	ADP
dpc-2870	57	11	comparison	comparison	NOUN
dpc-2870	57	12	between	between	ADP
dpc-2870	57	13	trichoscopic	trichoscopic	NOUN
dpc-2870	57	14	parameters	parameter	NOUN
dpc-2870	57	15	.	.	PUNCT
dpc-2870	58	1	the	the	DET
dpc-2870	58	2	svm	svm	PROPN
dpc-2870	58	3	model	model	NOUN
dpc-2870	58	4	is	be	AUX
dpc-2870	58	5	based	base	VERB
dpc-2870	58	6	on	on	ADP
dpc-2870	58	7	opensource	opensource	NOUN
dpc-2870	58	8	codes	code	NOUN
dpc-2870	58	9	.	.	PUNCT
dpc-2870	59	1	the	the	DET
dpc-2870	59	2	code	code	NOUN
dpc-2870	59	3	was	be	AUX
dpc-2870	59	4	developed	develop	VERB
dpc-2870	59	5	in	in	ADP
dpc-2870	59	6	a	a	DET
dpc-2870	59	7	python	python	NOUN
dpc-2870	59	8	3.8	3.8	NUM
dpc-2870	59	9	based	base	VERB
dpc-2870	59	10	framework	framework	NOUN
dpc-2870	59	11	.	.	PUNCT
dpc-2870	60	1	the	the	DET
dpc-2870	60	2	probability	probability	NOUN
dpc-2870	60	3	estimate	estimate	NOUN
dpc-2870	60	4	is	be	AUX
dpc-2870	60	5	mathematically	mathematically	ADV
dpc-2870	60	6	derived	derive	VERB
dpc-2870	60	7	by	by	ADP
dpc-2870	60	8	normalizing	normalize	VERB
dpc-2870	60	9	the	the	DET
dpc-2870	60	10	algorithm	algorithm	NOUN
dpc-2870	60	11	function	function	NOUN
dpc-2870	60	12	by	by	ADP
dpc-2870	60	13	the	the	DET
dpc-2870	60	14	weights	weight	NOUN
dpc-2870	60	15	of	of	ADP
dpc-2870	60	16	the	the	DET
dpc-2870	60	17	hyperplane	hyperplane	NOUN
dpc-2870	60	18	.	.	PUNCT
dpc-2870	61	1	artificial	artificial	ADJ
dpc-2870	61	2	intelligence	intelligence	NOUN
dpc-2870	61	3	was	be	AUX
dpc-2870	61	4	trained	train	VERB
dpc-2870	61	5	using	use	VERB
dpc-2870	61	6	the	the	DET
dpc-2870	61	7	sklearn	sklearn	ADJ
dpc-2870	61	8	library	library	NOUN
dpc-2870	61	9	.	.	PUNCT
dpc-2870	62	1	results	result	VERB
dpc-2870	62	2	medians	median	NOUN
dpc-2870	62	3	and	and	CCONJ
dpc-2870	62	4	interquartile	interquartile	NOUN
dpc-2870	62	5	ranges	range	NOUN
dpc-2870	62	6	of	of	ADP
dpc-2870	62	7	each	each	DET
dpc-2870	62	8	trichoscopic	trichoscopic	NOUN
dpc-2870	62	9	parameter	parameter	NOUN
dpc-2870	62	10	,	,	PUNCT
dpc-2870	62	11	for	for	ADP
dpc-2870	62	12	each	each	DET
dpc-2870	62	13	study	study	NOUN
dpc-2870	62	14	group	group	NOUN
dpc-2870	62	15	,	,	PUNCT
dpc-2870	62	16	are	be	AUX
dpc-2870	62	17	listed	list	VERB
dpc-2870	62	18	in	in	ADP
dpc-2870	62	19	table	table	NOUN
dpc-2870	62	20	1	1	NUM
dpc-2870	62	21	.	.	PUNCT
dpc-2870	63	1	all	all	PRON
dpc-2870	63	2	of	of	ADP
dpc-2870	63	3	the	the	DET
dpc-2870	63	4	three	three	NUM
dpc-2870	63	5	parameters	parameter	NOUN
dpc-2870	63	6	were	be	AUX
dpc-2870	63	7	significantly	significantly	ADV
dpc-2870	63	8	higher	high	ADJ
dpc-2870	63	9	,	,	PUNCT
dpc-2870	63	10	both	both	CCONJ
dpc-2870	63	11	in	in	ADP
dpc-2870	63	12	men	man	NOUN
dpc-2870	63	13	and	and	CCONJ
dpc-2870	63	14	women	woman	NOUN
dpc-2870	63	15	,	,	PUNCT
dpc-2870	63	16	in	in	ADP
dpc-2870	63	17	patients	patient	NOUN
dpc-2870	63	18	affected	affect	VERB
dpc-2870	63	19	by	by	ADP
dpc-2870	63	20	moderate	moderate	ADJ
dpc-2870	63	21	-	-	PUNCT
dpc-2870	63	22	severe	severe	ADJ
dpc-2870	63	23	aga	aga	NOUN
dpc-2870	63	24	compared	compare	VERB
dpc-2870	63	25	to	to	ADP
dpc-2870	63	26	mild	mild	ADJ
dpc-2870	63	27	aga	aga	NOUN
dpc-2870	63	28	patients	patient	NOUN
dpc-2870	63	29	(	(	PUNCT
dpc-2870	63	30	table	table	NOUN
dpc-2870	63	31	1	1	NUM
dpc-2870	63	32	)	)	PUNCT
dpc-2870	63	33	.	.	PUNCT
dpc-2870	64	1	trichoscopic	trichoscopic	NOUN
dpc-2870	64	2	parameter	parameter	NOUN
dpc-2870	64	3	values	value	NOUN
dpc-2870	64	4	for	for	ADP
dpc-2870	64	5	each	each	DET
dpc-2870	64	6	patient	patient	NOUN
dpc-2870	64	7	,	,	PUNCT
dpc-2870	64	8	and	and	CCONJ
dpc-2870	64	9	the	the	DET
dpc-2870	64	10	hyperplane	hyperplane	NOUN
dpc-2870	64	11	function	function	NOUN
dpc-2870	64	12	dividing	divide	VERB
dpc-2870	64	13	mild	mild	ADJ
dpc-2870	64	14	aga	aga	NOUN
dpc-2870	64	15	patients	patient	NOUN
dpc-2870	64	16	from	from	ADP
dpc-2870	64	17	moderate	moderate	ADJ
dpc-2870	64	18	-	-	PUNCT
dpc-2870	64	19	sever	sever	ADJ
dpc-2870	64	20	ones	one	NOUN
dpc-2870	64	21	,	,	PUNCT
dpc-2870	64	22	are	be	AUX
dpc-2870	64	23	reported	report	VERB
dpc-2870	64	24	in	in	ADP
dpc-2870	64	25	the	the	DET
dpc-2870	64	26	3d	3d	NUM
dpc-2870	64	27	scatter	scatter	NOUN
dpc-2870	64	28	plot	plot	NOUN
dpc-2870	64	29	(	(	PUNCT
dpc-2870	64	30	figure	figure	NOUN
dpc-2870	64	31	1	1	NUM
dpc-2870	64	32	)	)	PUNCT
dpc-2870	64	33	.	.	PUNCT
dpc-2870	65	1	the	the	DET
dpc-2870	65	2	estimates	estimate	NOUN
dpc-2870	65	3	of	of	ADP
dpc-2870	65	4	correct	correct	ADJ
dpc-2870	65	5	classification	classification	NOUN
dpc-2870	65	6	,	,	PUNCT
dpc-2870	65	7	as	as	ADP
dpc-2870	65	8	a	a	DET
dpc-2870	65	9	function	function	NOUN
dpc-2870	65	10	of	of	ADP
dpc-2870	65	11	the	the	DET
dpc-2870	65	12	distance	distance	NOUN
dpc-2870	65	13	of	of	ADP
dpc-2870	65	14	the	the	DET
dpc-2870	65	15	example	example	NOUN
dpc-2870	65	16	from	from	ADP
dpc-2870	65	17	the	the	DET
dpc-2870	65	18	decision	decision	NOUN
dpc-2870	65	19	boundary	boundary	NOUN
dpc-2870	65	20	,	,	PUNCT
dpc-2870	65	21	for	for	ADP
dpc-2870	65	22	each	each	DET
dpc-2870	65	23	patient	patient	NOUN
dpc-2870	65	24	of	of	ADP
dpc-2870	65	25	the	the	DET
dpc-2870	65	26	training	training	NOUN
dpc-2870	65	27	dataset	dataset	NOUN
dpc-2870	65	28	,	,	PUNCT
dpc-2870	65	29	are	be	AUX
dpc-2870	65	30	reported	report	VERB
dpc-2870	65	31	in	in	ADP
dpc-2870	65	32	figure	figure	NOUN
dpc-2870	65	33	2	2	NUM
dpc-2870	65	34	.	.	PUNCT
dpc-2870	65	35	table	table	NOUN
dpc-2870	65	36	1	1	NUM
dpc-2870	65	37	.	.	PUNCT
dpc-2870	65	38	comparison	comparison	NOUN
dpc-2870	65	39	between	between	ADP
dpc-2870	65	40	trichoscopic	trichoscopic	NOUN
dpc-2870	65	41	parameter	parameter	NOUN
dpc-2870	65	42	values	value	NOUN
dpc-2870	65	43	of	of	ADP
dpc-2870	65	44	mild	mild	ADJ
dpc-2870	65	45	aga	aga	NOUN
dpc-2870	65	46	patients	patient	NOUN
dpc-2870	65	47	and	and	CCONJ
dpc-2870	65	48	moderate	moderate	ADJ
dpc-2870	65	49	-	-	PUNCT
dpc-2870	65	50	severe	severe	ADJ
dpc-2870	65	51	ones	one	NOUN
dpc-2870	65	52	(	(	PUNCT
dpc-2870	65	53	median	median	ADJ
dpc-2870	65	54	and	and	CCONJ
dpc-2870	65	55	interquartile	interquartile	ADJ
dpc-2870	65	56	range	range	NOUN
dpc-2870	65	57	)	)	PUNCT
dpc-2870	65	58	.	.	PUNCT
dpc-2870	66	1	mild	mild	ADJ
dpc-2870	66	2	moderate	moderate	ADJ
dpc-2870	66	3	-	-	PUNCT
dpc-2870	66	4	severe	severe	ADJ
dpc-2870	66	5	p	p	NOUN
dpc-2870	66	6	male	male	NOUN
dpc-2870	66	7	(	(	PUNCT
dpc-2870	66	8	n=100	n=100	NUM
dpc-2870	66	9	)	)	PUNCT
dpc-2870	66	10	vellus	vellus	ADJ
dpc-2870	66	11	hairs	hair	NOUN
dpc-2870	66	12	(	(	PUNCT
dpc-2870	66	13	%	%	INTJ
dpc-2870	66	14	)	)	PUNCT
dpc-2870	66	15	27	27	NUM
dpc-2870	66	16	(	(	PUNCT
dpc-2870	66	17	21	21	NUM
dpc-2870	66	18	-	-	SYM
dpc-2870	66	19	32	32	NUM
dpc-2870	66	20	)	)	PUNCT
dpc-2870	66	21	46.5	46.5	NUM
dpc-2870	66	22	(	(	PUNCT
dpc-2870	66	23	38	38	NUM
dpc-2870	66	24	-	-	SYM
dpc-2870	66	25	63	63	NUM
dpc-2870	66	26	)	)	PUNCT
dpc-2870	66	27	<	<	X
dpc-2870	66	28	0.0001	0.0001	NUM
dpc-2870	66	29	single	single	ADJ
dpc-2870	66	30	hair	hair	NOUN
dpc-2870	66	31	fu	fu	NOUN
dpc-2870	66	32	(	(	PUNCT
dpc-2870	66	33	%	%	INTJ
dpc-2870	66	34	)	)	PUNCT
dpc-2870	66	35	37	37	NUM
dpc-2870	66	36	(	(	PUNCT
dpc-2870	66	37	32	32	NUM
dpc-2870	66	38	-	-	SYM
dpc-2870	66	39	42	42	NUM
dpc-2870	66	40	)	)	PUNCT
dpc-2870	66	41	46	46	NUM
dpc-2870	66	42	(	(	PUNCT
dpc-2870	66	43	39	39	NUM
dpc-2870	66	44	-	-	SYM
dpc-2870	66	45	35	35	NUM
dpc-2870	66	46	)	)	PUNCT
dpc-2870	66	47	<	<	X
dpc-2870	66	48	0.0001	0.0001	NUM
dpc-2870	66	49	empty	empty	ADJ
dpc-2870	66	50	follicles	follicle	NOUN
dpc-2870	66	51	(	(	PUNCT
dpc-2870	66	52	n	n	CCONJ
dpc-2870	66	53	)	)	PUNCT
dpc-2870	66	54	0	0	NUM
dpc-2870	67	1	(	(	PUNCT
dpc-2870	67	2	0	0	NUM
dpc-2870	67	3	-	-	SYM
dpc-2870	67	4	0	0	NUM
dpc-2870	67	5	)	)	PUNCT
dpc-2870	67	6	1	1	NUM
dpc-2870	67	7	(	(	PUNCT
dpc-2870	67	8	0	0	NUM
dpc-2870	67	9	-	-	SYM
dpc-2870	67	10	2	2	NUM
dpc-2870	67	11	)	)	PUNCT
dpc-2870	67	12	<	<	X
dpc-2870	67	13	0.0001	0.0001	NUM
dpc-2870	67	14	female	female	ADJ
dpc-2870	67	15	(	(	PUNCT
dpc-2870	67	16	n=100	n=100	NUM
dpc-2870	67	17	)	)	PUNCT
dpc-2870	67	18	vellus	vellus	ADJ
dpc-2870	67	19	hairs	hair	NOUN
dpc-2870	67	20	(	(	PUNCT
dpc-2870	67	21	%	%	INTJ
dpc-2870	67	22	)	)	PUNCT
dpc-2870	67	23	33	33	NUM
dpc-2870	67	24	(	(	PUNCT
dpc-2870	67	25	27	27	NUM
dpc-2870	67	26	-	-	SYM
dpc-2870	67	27	40	40	NUM
dpc-2870	67	28	)	)	PUNCT
dpc-2870	67	29	62	62	NUM
dpc-2870	67	30	(	(	PUNCT
dpc-2870	67	31	58	58	NUM
dpc-2870	67	32	-	-	SYM
dpc-2870	67	33	69	69	NUM
dpc-2870	67	34	)	)	PUNCT
dpc-2870	67	35	<	<	X
dpc-2870	67	36	0.0001	0.0001	NUM
dpc-2870	67	37	single	single	ADJ
dpc-2870	67	38	hair	hair	NOUN
dpc-2870	67	39	fu	fu	NOUN
dpc-2870	67	40	(	(	PUNCT
dpc-2870	67	41	%	%	INTJ
dpc-2870	67	42	)	)	PUNCT
dpc-2870	67	43	45.5	45.5	NUM
dpc-2870	67	44	(	(	PUNCT
dpc-2870	67	45	39	39	NUM
dpc-2870	67	46	-	-	SYM
dpc-2870	67	47	51	51	NUM
dpc-2870	67	48	)	)	PUNCT
dpc-2870	67	49	54	54	NUM
dpc-2870	67	50	(	(	PUNCT
dpc-2870	67	51	49	49	NUM
dpc-2870	67	52	-	-	SYM
dpc-2870	67	53	59	59	NUM
dpc-2870	67	54	)	)	PUNCT
dpc-2870	67	55	<	<	X
dpc-2870	67	56	0.0001	0.0001	NUM
dpc-2870	67	57	empty	empty	ADJ
dpc-2870	67	58	follicles	follicle	NOUN
dpc-2870	67	59	(	(	PUNCT
dpc-2870	67	60	n	n	CCONJ
dpc-2870	67	61	)	)	PUNCT
dpc-2870	67	62	0	0	NUM
dpc-2870	67	63	(	(	PUNCT
dpc-2870	67	64	0	0	NUM
dpc-2870	67	65	-	-	SYM
dpc-2870	67	66	0	0	NUM
dpc-2870	67	67	)	)	PUNCT
dpc-2870	67	68	1	1	NUM
dpc-2870	67	69	(	(	PUNCT
dpc-2870	67	70	0	0	NUM
dpc-2870	67	71	-	-	SYM
dpc-2870	67	72	3	3	NUM
dpc-2870	67	73	)	)	PUNCT
dpc-2870	67	74	=	=	SYM
dpc-2870	67	75	0.0002	0.0002	NUM
dpc-2870	67	76	fu	fu	NOUN
dpc-2870	67	77	=	=	PUNCT
dpc-2870	67	78	follicular	follicular	ADJ
dpc-2870	67	79	units	unit	NOUN
dpc-2870	67	80	.	.	PUNCT
dpc-2870	68	1	*	*	PUNCT
dpc-2870	68	2	mann	mann	PROPN
dpc-2870	68	3	-	-	PUNCT
dpc-2870	68	4	whitney	whitney	PROPN
dpc-2870	68	5	u	u	NOUN
dpc-2870	68	6	-	-	NOUN
dpc-2870	68	7	test	test	NOUN
dpc-2870	68	8	.	.	PUNCT
dpc-2870	69	1	model	model	NOUN
dpc-2870	69	2	performance	performance	NOUN
dpc-2870	69	3	metrics	metric	NOUN
dpc-2870	69	4	values	value	NOUN
dpc-2870	69	5	,	,	PUNCT
dpc-2870	69	6	for	for	ADP
dpc-2870	69	7	training	training	NOUN
dpc-2870	69	8	and	and	CCONJ
dpc-2870	69	9	test	test	NOUN
dpc-2870	69	10	datasets	dataset	NOUN
dpc-2870	69	11	,	,	PUNCT
dpc-2870	69	12	are	be	AUX
dpc-2870	69	13	reported	report	VERB
dpc-2870	69	14	in	in	ADP
dpc-2870	69	15	table	table	NOUN
dpc-2870	69	16	2	2	NUM
dpc-2870	69	17	.	.	PUNCT
dpc-2870	70	1	roc	roc	PROPN
dpc-2870	70	2	curve	curve	NOUN
dpc-2870	70	3	analysis	analysis	NOUN
dpc-2870	70	4	,	,	PUNCT
dpc-2870	70	5	for	for	ADP
dpc-2870	70	6	training	training	NOUN
dpc-2870	70	7	and	and	CCONJ
dpc-2870	70	8	test	test	NOUN
dpc-2870	70	9	datasets	dataset	NOUN
dpc-2870	70	10	,	,	PUNCT
dpc-2870	70	11	are	be	AUX
dpc-2870	70	12	reported	report	VERB
dpc-2870	70	13	in	in	ADP
dpc-2870	70	14	figure	figure	NOUN
dpc-2870	70	15	3	3	NUM
dpc-2870	70	16	.	.	PUNCT
dpc-2870	71	1	conclusions	conclusion	NOUN
dpc-2870	71	2	in	in	ADP
dpc-2870	71	3	recent	recent	ADJ
dpc-2870	71	4	times	time	NOUN
dpc-2870	71	5	,	,	PUNCT
dpc-2870	71	6	trichoscopy	trichoscopy	NOUN
dpc-2870	71	7	has	have	AUX
dpc-2870	71	8	become	become	VERB
dpc-2870	71	9	an	an	DET
dpc-2870	71	10	essential	essential	ADJ
dpc-2870	71	11	tool	tool	NOUN
dpc-2870	71	12	for	for	ADP
dpc-2870	71	13	the	the	DET
dpc-2870	71	14	diagnosis	diagnosis	NOUN
dpc-2870	71	15	of	of	ADP
dpc-2870	71	16	hair	hair	NOUN
dpc-2870	71	17	loss	loss	NOUN
dpc-2870	71	18	disorders	disorder	NOUN
dpc-2870	71	19	[	[	X
dpc-2870	71	20	5	5	NUM
dpc-2870	71	21	]	]	PUNCT
dpc-2870	71	22	.	.	PUNCT
dpc-2870	72	1	the	the	DET
dpc-2870	72	2	analysis	analysis	NOUN
dpc-2870	72	3	of	of	ADP
dpc-2870	72	4	specific	specific	ADJ
dpc-2870	72	5	patterns	pattern	NOUN
dpc-2870	72	6	allows	allow	VERB
dpc-2870	72	7	dermatologists	dermatologist	NOUN
dpc-2870	72	8	to	to	PART
dpc-2870	72	9	perform	perform	VERB
dpc-2870	72	10	accurate	accurate	ADJ
dpc-2870	72	11	evaluation	evaluation	NOUN
dpc-2870	72	12	of	of	ADP
dpc-2870	72	13	disease	disease	NOUN
dpc-2870	72	14	severity	severity	NOUN
dpc-2870	72	15	and	and	CCONJ
dpc-2870	72	16	activity	activity	NOUN
dpc-2870	72	17	.	.	PUNCT
dpc-2870	73	1	however	however	ADV
dpc-2870	73	2	,	,	PUNCT
dpc-2870	73	3	this	this	DET
dpc-2870	73	4	process	process	NOUN
dpc-2870	73	5	is	be	AUX
dpc-2870	73	6	inevitably	inevitably	ADV
dpc-2870	73	7	subjective	subjective	ADJ
dpc-2870	73	8	and	and	CCONJ
dpc-2870	73	9	eye	eye	NOUN
dpc-2870	73	10	based	base	VERB
dpc-2870	73	11	.	.	PUNCT
dpc-2870	74	1	the	the	DET
dpc-2870	74	2	developing	developing	NOUN
dpc-2870	74	3	of	of	ADP
dpc-2870	74	4	new	new	ADJ
dpc-2870	74	5	artificial	artificial	ADJ
dpc-2870	74	6	intelligence	intelligence	NOUN
dpc-2870	74	7	programs	program	NOUN
dpc-2870	74	8	[	[	X
dpc-2870	74	9	6,7	6,7	NUM
dpc-2870	74	10	]	]	PUNCT
dpc-2870	74	11	,	,	PUNCT
dpc-2870	74	12	capable	capable	ADJ
dpc-2870	74	13	of	of	ADP
dpc-2870	74	14	precisely	precisely	ADV
dpc-2870	74	15	quantifying	quantify	VERB
dpc-2870	74	16	these	these	DET
dpc-2870	74	17	patterns	pattern	NOUN
dpc-2870	74	18	,	,	PUNCT
dpc-2870	74	19	opens	open	VERB
dpc-2870	74	20	new	new	ADJ
dpc-2870	74	21	scenarios	scenario	NOUN
dpc-2870	74	22	in	in	ADP
dpc-2870	74	23	the	the	DET
dpc-2870	74	24	field	field	NOUN
dpc-2870	74	25	of	of	ADP
dpc-2870	74	26	trichoscopy	trichoscopy	NOUN
dpc-2870	74	27	.	.	PUNCT
dpc-2870	75	1	in	in	ADP
dpc-2870	75	2	our	our	PRON
dpc-2870	75	3	study	study	NOUN
dpc-2870	75	4	,	,	PUNCT
dpc-2870	75	5	we	we	PRON
dpc-2870	75	6	analyzed	analyze	VERB
dpc-2870	75	7	trichoscopic	trichoscopic	NOUN
dpc-2870	75	8	images	image	NOUN
dpc-2870	75	9	with	with	ADP
dpc-2870	75	10	trichoscale	trichoscale	ADJ
dpc-2870	75	11	pro	pro	ADJ
dpc-2870	75	12	®	®	NOUN
dpc-2870	75	13	software	software	NOUN
dpc-2870	75	14	,	,	PUNCT
dpc-2870	75	15	and	and	CCONJ
dpc-2870	75	16	performed	perform	VERB
dpc-2870	75	17	an	an	DET
dpc-2870	75	18	accurate	accurate	ADJ
dpc-2870	75	19	manual	manual	ADJ
dpc-2870	75	20	verification	verification	NOUN
dpc-2870	75	21	of	of	ADP
dpc-2870	75	22	the	the	DET
dpc-2870	75	23	calculated	calculated	ADJ
dpc-2870	75	24	values	value	NOUN
dpc-2870	75	25	.	.	PUNCT
dpc-2870	76	1	in	in	ADP
dpc-2870	76	2	the	the	DET
dpc-2870	76	3	study	study	NOUN
dpc-2870	76	4	population	population	NOUN
dpc-2870	76	5	,	,	PUNCT
dpc-2870	76	6	the	the	DET
dpc-2870	76	7	percentage	percentage	NOUN
dpc-2870	76	8	of	of	ADP
dpc-2870	76	9	vellus	vellus	ADJ
dpc-2870	76	10	hairs	hair	NOUN
dpc-2870	76	11	,	,	PUNCT
dpc-2870	76	12	the	the	DET
dpc-2870	76	13	percentage	percentage	NOUN
dpc-2870	76	14	of	of	ADP
dpc-2870	76	15	single	single	ADJ
dpc-2870	76	16	hair	hair	NOUN
dpc-2870	76	17	follicular	follicular	ADJ
dpc-2870	76	18	units	unit	NOUN
dpc-2870	76	19	and	and	CCONJ
dpc-2870	76	20	the	the	DET
dpc-2870	76	21	number	number	NOUN
dpc-2870	76	22	of	of	ADP
dpc-2870	76	23	empty	empty	ADJ
dpc-2870	76	24	follicles	follicle	NOUN
dpc-2870	76	25	were	be	AUX
dpc-2870	76	26	significantly	significantly	ADV
dpc-2870	76	27	higher	high	ADJ
dpc-2870	76	28	in	in	ADP
dpc-2870	76	29	patients	patient	NOUN
dpc-2870	76	30	affected	affect	VERB
dpc-2870	76	31	by	by	ADP
dpc-2870	76	32	clinical	clinical	ADJ
dpc-2870	76	33	(	(	PUNCT
dpc-2870	76	34	using	use	VERB
dpc-2870	76	35	classical	classical	ADJ
dpc-2870	76	36	macroscopic	macroscopic	ADJ
dpc-2870	76	37	scales	scale	NOUN
dpc-2870	76	38	)	)	PUNCT
dpc-2870	76	39	moderate	moderate	ADJ
dpc-2870	76	40	-	-	PUNCT
dpc-2870	76	41	severe	severe	ADJ
dpc-2870	76	42	aga	aga	NOUN
dpc-2870	76	43	compared	compare	VERB
dpc-2870	76	44	to	to	ADP
dpc-2870	76	45	clinical	clinical	ADJ
dpc-2870	76	46	mild	mild	ADJ
dpc-2870	76	47	aga	aga	NOUN
dpc-2870	76	48	patients	patient	NOUN
dpc-2870	76	49	(	(	PUNCT
dpc-2870	76	50	table	table	NOUN
dpc-2870	76	51	1	1	NUM
dpc-2870	76	52	)	)	PUNCT
dpc-2870	76	53	,	,	PUNCT
dpc-2870	76	54	as	as	SCONJ
dpc-2870	76	55	expected	expect	VERB
dpc-2870	76	56	according	accord	VERB
dpc-2870	76	57	to	to	ADP
dpc-2870	76	58	literature	literature	NOUN
dpc-2870	76	59	[	[	X
dpc-2870	76	60	8	8	NUM
dpc-2870	76	61	]	]	PUNCT
dpc-2870	76	62	.	.	PUNCT
dpc-2870	77	1	nevertheless	nevertheless	ADV
dpc-2870	77	2	,	,	PUNCT
dpc-2870	77	3	8	8	NUM
dpc-2870	77	4	%	%	NOUN
dpc-2870	77	5	of	of	ADP
dpc-2870	77	6	patients	patient	NOUN
dpc-2870	77	7	diagnosed	diagnose	VERB
dpc-2870	77	8	with	with	ADP
dpc-2870	77	9	clinical	clinical	ADJ
dpc-2870	77	10	mild	mild	ADJ
dpc-2870	77	11	aga	aga	NOUN
dpc-2870	77	12	were	be	AUX
dpc-2870	77	13	classified	classify	VERB
dpc-2870	77	14	as	as	SCONJ
dpc-2870	77	15	affected	affect	VERB
dpc-2870	77	16	by	by	ADP
dpc-2870	77	17	moderate	moderate	ADJ
dpc-2870	77	18	-	-	PUNCT
dpc-2870	77	19	severe	severe	ADJ
dpc-2870	77	20	aga	aga	NOUN
dpc-2870	77	21	patients	patient	NOUN
dpc-2870	77	22	by	by	ADP
dpc-2870	77	23	our	our	PRON
dpc-2870	77	24	model	model	NOUN
dpc-2870	77	25	,	,	PUNCT
dpc-2870	77	26	which	which	PRON
dpc-2870	77	27	is	be	AUX
dpc-2870	77	28	based	base	VERB
dpc-2870	77	29	on	on	ADP
dpc-2870	77	30	trichoscopic	trichoscopic	NOUN
dpc-2870	77	31	patterns	pattern	NOUN
dpc-2870	77	32	.	.	PUNCT
dpc-2870	78	1	we	we	PRON
dpc-2870	78	2	presume	presume	VERB
dpc-2870	78	3	this	this	PRON
dpc-2870	78	4	might	might	AUX
dpc-2870	78	5	be	be	AUX
dpc-2870	78	6	related	relate	VERB
dpc-2870	78	7	to	to	ADP
dpc-2870	78	8	the	the	DET
dpc-2870	78	9	fact	fact	NOUN
dpc-2870	78	10	that	that	SCONJ
dpc-2870	78	11	clinical	clinical	ADJ
dpc-2870	78	12	macroscopic	macroscopic	ADJ
dpc-2870	78	13	observation	observation	NOUN
dpc-2870	78	14	alone	alone	ADV
dpc-2870	78	15	is	be	AUX
dpc-2870	78	16	not	not	PART
dpc-2870	78	17	sufficient	sufficient	ADJ
dpc-2870	78	18	to	to	PART
dpc-2870	78	19	determine	determine	VERB
dpc-2870	78	20	the	the	DET
dpc-2870	78	21	real	real	ADJ
dpc-2870	78	22	severity	severity	NOUN
dpc-2870	78	23	and	and	CCONJ
dpc-2870	78	24	activity	activity	NOUN
dpc-2870	78	25	of	of	ADP
dpc-2870	78	26	aga	aga	NOUN
dpc-2870	78	27	.	.	PUNCT
dpc-2870	79	1	according	accord	VERB
dpc-2870	79	2	to	to	ADP
dpc-2870	79	3	our	our	PRON
dpc-2870	79	4	model	model	NOUN
dpc-2870	79	5	,	,	PUNCT
dpc-2870	79	6	in	in	ADP
dpc-2870	79	7	fact	fact	NOUN
dpc-2870	79	8	,	,	PUNCT
dpc-2870	79	9	an	an	DET
dpc-2870	79	10	increase	increase	NOUN
dpc-2870	79	11	in	in	ADP
dpc-2870	79	12	trichoscopic	trichoscopic	ADJ
dpc-2870	79	13	parameter	parameter	NOUN
dpc-2870	79	14	values	value	NOUN
dpc-2870	79	15	is	be	AUX
dpc-2870	79	16	correlated	correlate	VERB
dpc-2870	79	17	to	to	ADP
dpc-2870	79	18	a	a	DET
dpc-2870	79	19	higher	high	ADJ
dpc-2870	79	20	probability	probability	NOUN
dpc-2870	79	21	(	(	PUNCT
dpc-2870	79	22	expressed	express	VERB
dpc-2870	79	23	as	as	ADP
dpc-2870	79	24	percentage	percentage	NOUN
dpc-2870	79	25	)	)	PUNCT
dpc-2870	79	26	to	to	PART
dpc-2870	79	27	be	be	AUX
dpc-2870	79	28	affected	affect	VERB
dpc-2870	79	29	by	by	ADP
dpc-2870	79	30	moderate	moderate	ADJ
dpc-2870	79	31	-	-	PUNCT
dpc-2870	79	32	severe	severe	ADJ
dpc-2870	79	33	aga	aga	NOUN
dpc-2870	79	34	.	.	PUNCT
dpc-2870	80	1	this	this	DET
dpc-2870	80	2	probability	probability	NOUN
dpc-2870	80	3	estimate	estimate	NOUN
dpc-2870	80	4	might	might	AUX
dpc-2870	80	5	serve	serve	VERB
dpc-2870	80	6	as	as	ADP
dpc-2870	80	7	a	a	DET
dpc-2870	80	8	severity	severity	NOUN
dpc-2870	80	9	index	index	NOUN
dpc-2870	80	10	,	,	PUNCT
dpc-2870	80	11	given	give	VERB
dpc-2870	80	12	that	that	SCONJ
dpc-2870	80	13	,	,	PUNCT
dpc-2870	80	14	for	for	ADP
dpc-2870	80	15	patients	patient	NOUN
dpc-2870	80	16	classified	classify	VERB
dpc-2870	80	17	as	as	SCONJ
dpc-2870	80	18	affected	affect	VERB
dpc-2870	80	19	by	by	ADP
dpc-2870	80	20	moderate	moderate	ADJ
dpc-2870	80	21	-	-	PUNCT
dpc-2870	80	22	severe	severe	ADJ
dpc-2870	80	23	aga	aga	NOUN
dpc-2870	80	24	,	,	PUNCT
dpc-2870	80	25	the	the	PRON
dpc-2870	80	26	more	more	ADV
dpc-2870	80	27	this	this	DET
dpc-2870	80	28	value	value	NOUN
dpc-2870	80	29	approaches	approach	VERB
dpc-2870	80	30	100	100	NUM
dpc-2870	80	31	%	%	NOUN
dpc-2870	80	32	,	,	PUNCT
dpc-2870	80	33	the	the	DET
dpc-2870	80	34	higher	high	ADJ
dpc-2870	80	35	is	be	AUX
dpc-2870	80	36	the	the	DET
dpc-2870	80	37	number	number	NOUN
dpc-2870	80	38	of	of	ADP
dpc-2870	80	39	aga	aga	NOUN
dpc-2870	80	40	trichoscopic	trichoscopic	NOUN
dpc-2870	80	41	findings	finding	NOUN
dpc-2870	80	42	that	that	PRON
dpc-2870	80	43	are	be	AUX
dpc-2870	80	44	observed	observe	VERB
dpc-2870	80	45	in	in	ADP
dpc-2870	80	46	the	the	DET
dpc-2870	80	47	patient	patient	NOUN
dpc-2870	80	48	.	.	PUNCT
dpc-2870	81	1	on	on	ADP
dpc-2870	81	2	the	the	DET
dpc-2870	81	3	contrary	contrary	NOUN
dpc-2870	81	4	,	,	PUNCT
dpc-2870	81	5	for	for	ADP
dpc-2870	81	6	patients	patient	NOUN
dpc-2870	81	7	classified	classify	VERB
dpc-2870	81	8	as	as	SCONJ
dpc-2870	81	9	affected	affect	VERB
dpc-2870	81	10	by	by	ADP
dpc-2870	81	11	mild	mild	ADJ
dpc-2870	81	12	aga	aga	NOUN
dpc-2870	81	13	,	,	PUNCT
dpc-2870	81	14	the	the	PRON
dpc-2870	81	15	more	more	ADV
dpc-2870	81	16	the	the	DET
dpc-2870	81	17	estimate	estimate	NOUN
dpc-2870	81	18	value	value	NOUN
dpc-2870	81	19	approaches	approach	VERB
dpc-2870	81	20	100	100	NUM
dpc-2870	81	21	%	%	NOUN
dpc-2870	81	22	,	,	PUNCT
dpc-2870	81	23	the	the	DET
dpc-2870	81	24	lower	low	ADJ
dpc-2870	81	25	is	be	AUX
dpc-2870	81	26	the	the	DET
dpc-2870	81	27	number	number	NOUN
dpc-2870	81	28	of	of	ADP
dpc-2870	81	29	aga	aga	NOUN
dpc-2870	81	30	trichoscopic	trichoscopic	NOUN
dpc-2870	81	31	findings	finding	NOUN
dpc-2870	81	32	.	.	PUNCT
dpc-2870	82	1	our	our	PRON
dpc-2870	82	2	svm	svm	ADJ
dpc-2870	82	3	model	model	NOUN
dpc-2870	82	4	might	might	AUX
dpc-2870	82	5	be	be	AUX
dpc-2870	82	6	very	very	ADV
dpc-2870	82	7	useful	useful	ADJ
dpc-2870	82	8	in	in	ADP
dpc-2870	82	9	alerting	alert	VERB
dpc-2870	82	10	dermatologist	dermatologist	NOUN
dpc-2870	82	11	about	about	ADP
dpc-2870	82	12	those	those	DET
dpc-2870	82	13	patients	patient	NOUN
dpc-2870	82	14	presenting	present	VERB
dpc-2870	82	15	with	with	ADP
dpc-2870	82	16	not	not	PART
dpc-2870	82	17	extensive	extensive	ADJ
dpc-2870	82	18	alopecia	alopecia	NOUN
dpc-2870	82	19	,	,	PUNCT
dpc-2870	82	20	diagnosed	diagnose	VERB
dpc-2870	82	21	as	as	ADP
dpc-2870	82	22	mild	mild	ADJ
dpc-2870	82	23	aga	aga	NOUN
dpc-2870	82	24	according	accord	VERB
dpc-2870	82	25	to	to	ADP
dpc-2870	82	26	classical	classical	ADJ
dpc-2870	82	27	macroscopic	macroscopic	ADJ
dpc-2870	82	28	scales	scale	NOUN
dpc-2870	82	29	,	,	PUNCT
dpc-2870	82	30	but	but	CCONJ
dpc-2870	82	31	actually	actually	ADV
dpc-2870	82	32	affected	affect	VERB
dpc-2870	82	33	by	by	ADP
dpc-2870	82	34	moderate	moderate	ADJ
dpc-2870	82	35	-	-	PUNCT
dpc-2870	82	36	severe	severe	ADJ
dpc-2870	82	37	aga	aga	NOUN
dpc-2870	82	38	,	,	PUNCT
dpc-2870	82	39	after	after	ADP
dpc-2870	82	40	trichoscopic	trichoscopic	NOUN
dpc-2870	82	41	analysis	analysis	NOUN
dpc-2870	82	42	.	.	PUNCT
dpc-2870	83	1	as	as	ADP
dpc-2870	83	2	an	an	DET
dpc-2870	83	3	example	example	NOUN
dpc-2870	83	4	,	,	PUNCT
dpc-2870	83	5	a	a	DET
dpc-2870	83	6	patient	patient	NOUN
dpc-2870	83	7	diagnosed	diagnose	VERB
dpc-2870	83	8	with	with	ADP
dpc-2870	83	9	stage	stage	PROPN
dpc-2870	83	10	ii	ii	PROPN
dpc-2870	83	11	aga	aga	PROPN
dpc-2870	83	12	(	(	PUNCT
dpc-2870	83	13	according	accord	VERB
dpc-2870	83	14	to	to	ADP
dpc-2870	83	15	norwood	norwood	PROPN
dpc-2870	83	16	-	-	PUNCT
dpc-2870	83	17	hamilton	hamilton	PROPN
dpc-2870	83	18	scale	scale	PROPN
dpc-2870	83	19	)	)	PUNCT
dpc-2870	83	20	,	,	PUNCT
dpc-2870	83	21	after	after	ADP
dpc-2870	83	22	trichoscale	trichoscale	ADJ
dpc-2870	83	23	pro	pro	ADJ
dpc-2870	83	24	®	®	NOUN
dpc-2870	83	25	analysis	analysis	NOUN
dpc-2870	83	26	,	,	PUNCT
dpc-2870	83	27	exhibits	exhibit	VERB
dpc-2870	83	28	42	42	NUM
dpc-2870	83	29	%	%	NOUN
dpc-2870	83	30	vellus	vellus	ADJ
dpc-2870	83	31	hairs	hair	NOUN
dpc-2870	83	32	,	,	PUNCT
dpc-2870	83	33	45	45	NUM
dpc-2870	83	34	%	%	NOUN
dpc-2870	83	35	single	single	ADJ
dpc-2870	83	36	hair	hair	NOUN
dpc-2870	83	37	follicular	follicular	ADJ
dpc-2870	83	38	units	unit	NOUN
dpc-2870	83	39	and	and	CCONJ
dpc-2870	83	40	1	1	NUM
dpc-2870	83	41	empty	empty	ADJ
dpc-2870	83	42	follicle	follicle	NOUN
dpc-2870	83	43	.	.	PUNCT
dpc-2870	84	1	our	our	PRON
dpc-2870	84	2	algorithm	algorithm	NOUN
dpc-2870	84	3	classifies	classify	VERB
dpc-2870	84	4	this	this	DET
dpc-2870	84	5	patient	patient	NOUN
dpc-2870	84	6	as	as	SCONJ
dpc-2870	84	7	affected	affect	VERB
dpc-2870	84	8	by	by	ADP
dpc-2870	84	9	moderate	moderate	ADJ
dpc-2870	84	10	-	-	PUNCT
dpc-2870	84	11	severe	severe	ADJ
dpc-2870	84	12	aga	aga	NOUN
dpc-2870	84	13	,	,	PUNCT
dpc-2870	84	14	with	with	ADP
dpc-2870	84	15	a	a	DET
dpc-2870	84	16	probability	probability	NOUN
dpc-2870	84	17	estimate	estimate	NOUN
dpc-2870	84	18	of	of	ADP
dpc-2870	84	19	77	77	NUM
dpc-2870	84	20	%	%	NOUN
dpc-2870	84	21	(	(	PUNCT
dpc-2870	84	22	figure	figure	NOUN
dpc-2870	84	23	4	4	NUM
dpc-2870	84	24	)	)	PUNCT
dpc-2870	84	25	.	.	PUNCT
dpc-2870	85	1	4	4	NUM
dpc-2870	85	2	original	original	ADJ
dpc-2870	85	3	article	article	NOUN
dpc-2870	85	4	|	|	ADV
dpc-2870	85	5	dermatol	dermatol	ADJ
dpc-2870	85	6	pract	pract	NOUN
dpc-2870	85	7	concept	concept	NOUN
dpc-2870	85	8	.	.	PUNCT
dpc-2870	86	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	86	2	figure	figure	NOUN
dpc-2870	86	3	2	2	NUM
dpc-2870	86	4	.	.	PUNCT
dpc-2870	87	1	the	the	DET
dpc-2870	87	2	probability	probability	NOUN
dpc-2870	87	3	estimates	estimate	NOUN
dpc-2870	87	4	of	of	ADP
dpc-2870	87	5	correct	correct	ADJ
dpc-2870	87	6	classification	classification	NOUN
dpc-2870	87	7	,	,	PUNCT
dpc-2870	87	8	as	as	ADP
dpc-2870	87	9	a	a	DET
dpc-2870	87	10	function	function	NOUN
dpc-2870	87	11	of	of	ADP
dpc-2870	87	12	the	the	DET
dpc-2870	87	13	distance	distance	NOUN
dpc-2870	87	14	of	of	ADP
dpc-2870	87	15	the	the	DET
dpc-2870	87	16	example	example	NOUN
dpc-2870	87	17	from	from	ADP
dpc-2870	87	18	the	the	DET
dpc-2870	87	19	decision	decision	NOUN
dpc-2870	87	20	boundary	boundary	NOUN
dpc-2870	87	21	,	,	PUNCT
dpc-2870	87	22	for	for	ADP
dpc-2870	87	23	each	each	DET
dpc-2870	87	24	patient	patient	NOUN
dpc-2870	87	25	of	of	ADP
dpc-2870	87	26	the	the	DET
dpc-2870	87	27	training	training	NOUN
dpc-2870	87	28	dataset	dataset	NOUN
dpc-2870	87	29	.	.	PUNCT
dpc-2870	88	1	figure	figure	NOUN
dpc-2870	88	2	1	1	NUM
dpc-2870	88	3	.	.	X
dpc-2870	89	1	3d	3d	NUM
dpc-2870	89	2	scatter	scatter	NOUN
dpc-2870	89	3	plot	plot	NOUN
dpc-2870	89	4	showing	show	VERB
dpc-2870	89	5	the	the	DET
dpc-2870	89	6	three	three	NUM
dpc-2870	89	7	trichoscopic	trichoscopic	NOUN
dpc-2870	89	8	parameter	parameter	NOUN
dpc-2870	89	9	values	value	NOUN
dpc-2870	89	10	for	for	ADP
dpc-2870	89	11	each	each	DET
dpc-2870	89	12	patient	patient	NOUN
dpc-2870	89	13	.	.	PUNCT
dpc-2870	90	1	the	the	DET
dpc-2870	90	2	hyperplane	hyperplane	PROPN
dpc-2870	90	3	function	function	NOUN
dpc-2870	90	4	dividing	divide	VERB
dpc-2870	90	5	mild	mild	ADJ
dpc-2870	90	6	androgenic	androgenic	ADJ
dpc-2870	90	7	alopecia	alopecia	NOUN
dpc-2870	90	8	(	(	PUNCT
dpc-2870	90	9	aga	aga	NOUN
dpc-2870	90	10	)	)	PUNCT
dpc-2870	90	11	patients	patient	NOUN
dpc-2870	90	12	(	(	PUNCT
dpc-2870	90	13	red	red	PROPN
dpc-2870	90	14	)	)	PUNCT
dpc-2870	90	15	from	from	ADP
dpc-2870	90	16	moderate	moderate	ADJ
dpc-2870	90	17	-	-	PUNCT
dpc-2870	90	18	sever	sever	ADJ
dpc-2870	90	19	ones	one	NOUN
dpc-2870	90	20	(	(	PUNCT
dpc-2870	90	21	blue	blue	ADJ
dpc-2870	90	22	)	)	PUNCT
dpc-2870	90	23	is	be	AUX
dpc-2870	90	24	colored	color	VERB
dpc-2870	90	25	in	in	ADP
dpc-2870	90	26	gray	gray	ADJ
dpc-2870	90	27	.	.	PUNCT
dpc-2870	91	1	original	original	ADJ
dpc-2870	91	2	article	article	NOUN
dpc-2870	91	3	|	|	ADV
dpc-2870	91	4	dermatol	dermatol	ADJ
dpc-2870	91	5	pract	pract	NOUN
dpc-2870	91	6	concept	concept	NOUN
dpc-2870	91	7	.	.	PUNCT
dpc-2870	92	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	92	2	5	5	NUM
dpc-2870	92	3	table	table	NOUN
dpc-2870	92	4	2	2	NUM
dpc-2870	92	5	.	.	PUNCT
dpc-2870	92	6	model	model	NOUN
dpc-2870	92	7	performance	performance	NOUN
dpc-2870	92	8	metrics	metric	NOUN
dpc-2870	92	9	.	.	PUNCT
dpc-2870	93	1	train	train	NOUN
dpc-2870	93	2	test	test	NOUN
dpc-2870	93	3	sensitivity	sensitivity	NOUN
dpc-2870	93	4	94.2	94.2	NUM
dpc-2870	93	5	%	%	NOUN
dpc-2870	93	6	93.6	93.6	NUM
dpc-2870	93	7	%	%	NOUN
dpc-2870	93	8	specificity	specificity	NOUN
dpc-2870	93	9	94.4	94.4	NUM
dpc-2870	93	10	%	%	NOUN
dpc-2870	93	11	86.2	86.2	NUM
dpc-2870	93	12	%	%	NOUN
dpc-2870	93	13	ppv	ppv	NOUN
dpc-2870	93	14	94.2	94.2	NUM
dpc-2870	93	15	%	%	NOUN
dpc-2870	93	16	87.8	87.8	NUM
dpc-2870	93	17	%	%	NOUN
dpc-2870	93	18	npv	npv	NOUN
dpc-2870	93	19	94.4	94.4	NUM
dpc-2870	93	20	%	%	NOUN
dpc-2870	93	21	92.6	92.6	NUM
dpc-2870	93	22	%	%	NOUN
dpc-2870	93	23	accuracy	accuracy	NOUN
dpc-2870	93	24	94.3	94.3	NUM
dpc-2870	93	25	%	%	NOUN
dpc-2870	93	26	90.0	90.0	NUM
dpc-2870	93	27	%	%	NOUN
dpc-2870	93	28	auc	auc	NOUN
dpc-2870	93	29	0.99	0.99	NUM
dpc-2870	93	30	0.95	0.95	NUM
dpc-2870	93	31	auc	auc	NOUN
dpc-2870	93	32	=	=	NOUN
dpc-2870	93	33	area	area	NOUN
dpc-2870	93	34	under	under	ADP
dpc-2870	93	35	the	the	DET
dpc-2870	93	36	curve	curve	NOUN
dpc-2870	93	37	;	;	PUNCT
dpc-2870	93	38	npv	npv	NOUN
dpc-2870	93	39	=	=	SYM
dpc-2870	93	40	negative	negative	ADJ
dpc-2870	93	41	predictive	predictive	ADJ
dpc-2870	93	42	value	value	NOUN
dpc-2870	93	43	;	;	PUNCT
dpc-2870	93	44	ppv	ppv	NOUN
dpc-2870	93	45	=	=	PUNCT
dpc-2870	93	46	positive	positive	ADJ
dpc-2870	93	47	predictive	predictive	ADJ
dpc-2870	93	48	value	value	NOUN
dpc-2870	93	49	.	.	PUNCT
dpc-2870	94	1	figure	figure	NOUN
dpc-2870	94	2	3	3	NUM
dpc-2870	94	3	.	.	PUNCT
dpc-2870	95	1	receiver	receiver	ADJ
dpc-2870	95	2	operating	operate	VERB
dpc-2870	95	3	characteristic	characteristic	ADJ
dpc-2870	95	4	curve	curve	NOUN
dpc-2870	95	5	(	(	PUNCT
dpc-2870	95	6	roc	roc	PROPN
dpc-2870	95	7	)	)	PUNCT
dpc-2870	95	8	curve	curve	NOUN
dpc-2870	95	9	analysis	analysis	NOUN
dpc-2870	95	10	,	,	PUNCT
dpc-2870	95	11	for	for	ADP
dpc-2870	95	12	training	training	NOUN
dpc-2870	95	13	(	(	PUNCT
dpc-2870	95	14	left	left	ADJ
dpc-2870	95	15	)	)	PUNCT
dpc-2870	95	16	and	and	CCONJ
dpc-2870	95	17	test	test	NOUN
dpc-2870	95	18	(	(	PUNCT
dpc-2870	95	19	right	right	ADJ
dpc-2870	95	20	)	)	PUNCT
dpc-2870	95	21	datasets	dataset	NOUN
dpc-2870	95	22	.	.	PUNCT
dpc-2870	96	1	the	the	DET
dpc-2870	96	2	severity	severity	NOUN
dpc-2870	96	3	index	index	NOUN
dpc-2870	96	4	elaborated	elaborate	VERB
dpc-2870	96	5	by	by	ADP
dpc-2870	96	6	our	our	PRON
dpc-2870	96	7	machine	machine	NOUN
dpc-2870	96	8	learning	learning	NOUN
dpc-2870	96	9	model	model	NOUN
dpc-2870	96	10	could	could	AUX
dpc-2870	96	11	also	also	ADV
dpc-2870	96	12	guide	guide	VERB
dpc-2870	96	13	dermatologists	dermatologist	NOUN
dpc-2870	96	14	in	in	ADP
dpc-2870	96	15	choosing	choose	VERB
dpc-2870	96	16	the	the	DET
dpc-2870	96	17	right	right	ADJ
dpc-2870	96	18	treatment	treatment	NOUN
dpc-2870	96	19	regimen	regiman	NOUN
dpc-2870	96	20	for	for	ADP
dpc-2870	96	21	each	each	DET
dpc-2870	96	22	patient	patient	NOUN
dpc-2870	96	23	.	.	PUNCT
dpc-2870	97	1	indeed	indeed	ADV
dpc-2870	97	2	,	,	PUNCT
dpc-2870	97	3	subjects	subject	NOUN
dpc-2870	97	4	with	with	ADP
dpc-2870	97	5	a	a	DET
dpc-2870	97	6	high	high	ADJ
dpc-2870	97	7	probability	probability	NOUN
dpc-2870	97	8	to	to	PART
dpc-2870	97	9	be	be	AUX
dpc-2870	97	10	affected	affect	VERB
dpc-2870	97	11	by	by	ADP
dpc-2870	97	12	moderate	moderate	ADJ
dpc-2870	97	13	-	-	PUNCT
dpc-2870	97	14	severe	severe	ADJ
dpc-2870	97	15	aga	aga	NOUN
dpc-2870	97	16	might	might	AUX
dpc-2870	97	17	benefit	benefit	VERB
dpc-2870	97	18	of	of	ADP
dpc-2870	97	19	a	a	DET
dpc-2870	97	20	more	more	ADV
dpc-2870	97	21	aggressive	aggressive	ADJ
dpc-2870	97	22	therapeutic	therapeutic	ADJ
dpc-2870	97	23	approach	approach	NOUN
dpc-2870	97	24	.	.	PUNCT
dpc-2870	98	1	moreover	moreover	ADV
dpc-2870	98	2	,	,	PUNCT
dpc-2870	98	3	it	it	PRON
dpc-2870	98	4	could	could	AUX
dpc-2870	98	5	be	be	AUX
dpc-2870	98	6	useful	useful	ADJ
dpc-2870	98	7	for	for	ADP
dpc-2870	98	8	monitoring	monitor	VERB
dpc-2870	98	9	response	response	NOUN
dpc-2870	98	10	to	to	ADP
dpc-2870	98	11	therapy	therapy	NOUN
dpc-2870	98	12	:	:	PUNCT
dpc-2870	98	13	a	a	DET
dpc-2870	98	14	decreased	decrease	VERB
dpc-2870	98	15	probability	probability	NOUN
dpc-2870	98	16	estimate	estimate	NOUN
dpc-2870	98	17	,	,	PUNCT
dpc-2870	98	18	calculated	calculate	VERB
dpc-2870	98	19	after	after	ADP
dpc-2870	98	20	a	a	DET
dpc-2870	98	21	treatment	treatment	NOUN
dpc-2870	98	22	period	period	NOUN
dpc-2870	98	23	,	,	PUNCT
dpc-2870	98	24	would	would	AUX
dpc-2870	98	25	mean	mean	VERB
dpc-2870	98	26	that	that	SCONJ
dpc-2870	98	27	aga	aga	PROPN
dpc-2870	98	28	severity	severity	NOUN
dpc-2870	98	29	is	be	AUX
dpc-2870	98	30	decreasing	decrease	VERB
dpc-2870	98	31	as	as	ADV
dpc-2870	98	32	well	well	ADV
dpc-2870	98	33	.	.	PUNCT
dpc-2870	99	1	the	the	DET
dpc-2870	99	2	high	high	ADJ
dpc-2870	99	3	performance	performance	NOUN
dpc-2870	99	4	metrics	metric	NOUN
dpc-2870	99	5	values	value	NOUN
dpc-2870	99	6	,	,	PUNCT
dpc-2870	99	7	like	like	ADP
dpc-2870	99	8	precision	precision	NOUN
dpc-2870	99	9	,	,	PUNCT
dpc-2870	99	10	accuracy	accuracy	NOUN
dpc-2870	99	11	and	and	CCONJ
dpc-2870	99	12	recall	recall	NOUN
dpc-2870	99	13	,	,	PUNCT
dpc-2870	99	14	demonstrate	demonstrate	VERB
dpc-2870	99	15	that	that	SCONJ
dpc-2870	99	16	the	the	DET
dpc-2870	99	17	algorithm	algorithm	NOUN
dpc-2870	99	18	,	,	PUNCT
dpc-2870	99	19	in	in	ADP
dpc-2870	99	20	our	our	PRON
dpc-2870	99	21	study	study	NOUN
dpc-2870	99	22	population	population	NOUN
dpc-2870	99	23	,	,	PUNCT
dpc-2870	99	24	works	work	VERB
dpc-2870	99	25	extremely	extremely	ADV
dpc-2870	99	26	well	well	ADV
dpc-2870	99	27	as	as	ADP
dpc-2870	99	28	aga	aga	NOUN
dpc-2870	99	29	classifier	classifier	NOUN
dpc-2870	99	30	in	in	ADP
dpc-2870	99	31	the	the	DET
dpc-2870	99	32	majority	majority	NOUN
dpc-2870	99	33	of	of	ADP
dpc-2870	99	34	cases	case	NOUN
dpc-2870	99	35	.	.	PUNCT
dpc-2870	100	1	obviously	obviously	ADV
dpc-2870	100	2	,	,	PUNCT
dpc-2870	100	3	the	the	DET
dpc-2870	100	4	test	test	NOUN
dpc-2870	100	5	dataset	dataset	NOUN
dpc-2870	100	6	performance	performance	NOUN
dpc-2870	100	7	metrics	metric	NOUN
dpc-2870	100	8	values	value	NOUN
dpc-2870	100	9	are	be	AUX
dpc-2870	100	10	lower	low	ADJ
dpc-2870	100	11	than	than	ADP
dpc-2870	100	12	the	the	DET
dpc-2870	100	13	training	training	NOUN
dpc-2870	100	14	ones	one	NOUN
dpc-2870	100	15	,	,	PUNCT
dpc-2870	100	16	as	as	SCONJ
dpc-2870	100	17	expected	expect	VERB
dpc-2870	100	18	for	for	ADP
dpc-2870	100	19	this	this	DET
dpc-2870	100	20	kind	kind	NOUN
dpc-2870	100	21	of	of	ADP
dpc-2870	100	22	machine	machine	NOUN
dpc-2870	100	23	learning	learning	NOUN
dpc-2870	100	24	models	model	NOUN
dpc-2870	100	25	in	in	ADP
dpc-2870	100	26	order	order	NOUN
dpc-2870	100	27	to	to	PART
dpc-2870	100	28	avoid	avoid	VERB
dpc-2870	100	29	overfitting	overfitte	VERB
dpc-2870	100	30	(	(	PUNCT
dpc-2870	100	31	it	it	PRON
dpc-2870	100	32	occurs	occur	VERB
dpc-2870	100	33	when	when	SCONJ
dpc-2870	100	34	the	the	DET
dpc-2870	100	35	model	model	NOUN
dpc-2870	100	36	fits	fit	VERB
dpc-2870	100	37	too	too	ADV
dpc-2870	100	38	closely	closely	ADV
dpc-2870	100	39	to	to	ADP
dpc-2870	100	40	the	the	DET
dpc-2870	100	41	training	training	NOUN
dpc-2870	100	42	set	set	NOUN
dpc-2870	100	43	,	,	PUNCT
dpc-2870	100	44	and	and	CCONJ
dpc-2870	100	45	it	it	PRON
dpc-2870	100	46	is	be	AUX
dpc-2870	100	47	unable	unable	ADJ
dpc-2870	100	48	to	to	PART
dpc-2870	100	49	generalize	generalize	VERB
dpc-2870	100	50	well	well	ADV
dpc-2870	100	51	to	to	ADP
dpc-2870	100	52	new	new	ADJ
dpc-2870	100	53	data	datum	NOUN
dpc-2870	100	54	)	)	PUNCT
dpc-2870	101	1	[	[	X
dpc-2870	101	2	8	8	NUM
dpc-2870	101	3	]	]	PUNCT
dpc-2870	101	4	.	.	PUNCT
dpc-2870	102	1	the	the	DET
dpc-2870	102	2	probability	probability	NOUN
dpc-2870	102	3	estimates	estimate	VERB
dpc-2870	102	4	curves	curve	NOUN
dpc-2870	102	5	slopes	slope	NOUN
dpc-2870	102	6	(	(	PUNCT
dpc-2870	102	7	figure	figure	NOUN
dpc-2870	102	8	2	2	NUM
dpc-2870	102	9	)	)	PUNCT
dpc-2870	102	10	are	be	AUX
dpc-2870	102	11	considerably	considerably	ADV
dpc-2870	102	12	high	high	ADJ
dpc-2870	102	13	,	,	PUNCT
dpc-2870	102	14	and	and	CCONJ
dpc-2870	102	15	for	for	ADP
dpc-2870	102	16	most	most	ADJ
dpc-2870	102	17	patients	patient	NOUN
dpc-2870	102	18	(	(	PUNCT
dpc-2870	102	19	81.5	81.5	NUM
dpc-2870	102	20	%	%	NOUN
dpc-2870	102	21	)	)	PUNCT
dpc-2870	102	22	,	,	PUNCT
dpc-2870	102	23	values	value	NOUN
dpc-2870	102	24	are	be	AUX
dpc-2870	102	25	higher	high	ADJ
dpc-2870	102	26	than	than	ADP
dpc-2870	102	27	80	80	NUM
dpc-2870	102	28	%	%	NOUN
dpc-2870	102	29	.	.	PUNCT
dpc-2870	103	1	our	our	PRON
dpc-2870	103	2	study	study	NOUN
dpc-2870	103	3	has	have	VERB
dpc-2870	103	4	of	of	ADP
dpc-2870	103	5	course	course	NOUN
dpc-2870	103	6	some	some	DET
dpc-2870	103	7	limitations	limitation	NOUN
dpc-2870	103	8	.	.	PUNCT
dpc-2870	104	1	first	first	ADV
dpc-2870	104	2	of	of	ADP
dpc-2870	104	3	all	all	PRON
dpc-2870	104	4	,	,	PUNCT
dpc-2870	104	5	trichoscale	trichoscale	ADJ
dpc-2870	104	6	pro	pro	ADJ
dpc-2870	104	7	®	®	NOUN
dpc-2870	104	8	analysis	analysis	NOUN
dpc-2870	104	9	needed	need	VERB
dpc-2870	104	10	manual	manual	ADJ
dpc-2870	104	11	verification	verification	NOUN
dpc-2870	104	12	for	for	ADP
dpc-2870	104	13	some	some	DET
dpc-2870	104	14	minor	minor	ADJ
dpc-2870	104	15	corrections	correction	NOUN
dpc-2870	104	16	in	in	ADP
dpc-2870	104	17	most	most	ADJ
dpc-2870	104	18	of	of	ADP
dpc-2870	104	19	the	the	DET
dpc-2870	104	20	cases	case	NOUN
dpc-2870	104	21	(	(	PUNCT
dpc-2870	104	22	78	78	NUM
dpc-2870	104	23	%	%	NOUN
dpc-2870	104	24	)	)	PUNCT
dpc-2870	104	25	.	.	PUNCT
dpc-2870	105	1	this	this	PRON
dpc-2870	105	2	might	might	AUX
dpc-2870	105	3	be	be	AUX
dpc-2870	105	4	attributed	attribute	VERB
dpc-2870	105	5	to	to	ADP
dpc-2870	105	6	the	the	DET
dpc-2870	105	7	fact	fact	NOUN
dpc-2870	105	8	that	that	SCONJ
dpc-2870	105	9	,	,	PUNCT
dpc-2870	105	10	in	in	ADP
dpc-2870	105	11	the	the	DET
dpc-2870	105	12	analyzed	analyze	VERB
dpc-2870	105	13	scalp	scalp	NOUN
dpc-2870	105	14	areas	area	NOUN
dpc-2870	105	15	,	,	PUNCT
dpc-2870	105	16	hairs	hair	NOUN
dpc-2870	105	17	were	be	AUX
dpc-2870	105	18	not	not	PART
dpc-2870	105	19	cut	cut	VERB
dpc-2870	105	20	to	to	ADP
dpc-2870	105	21	a	a	DET
dpc-2870	105	22	short	short	ADJ
dpc-2870	105	23	length	length	NOUN
dpc-2870	105	24	,	,	PUNCT
dpc-2870	105	25	even	even	ADV
dpc-2870	105	26	if	if	SCONJ
dpc-2870	105	27	were	be	AUX
dpc-2870	105	28	accurately	accurately	ADV
dpc-2870	105	29	combed	comb	VERB
dpc-2870	105	30	to	to	PART
dpc-2870	105	31	reach	reach	VERB
dpc-2870	105	32	the	the	DET
dpc-2870	105	33	best	good	ADJ
dpc-2870	105	34	analysis	analysis	NOUN
dpc-2870	105	35	result	result	NOUN
dpc-2870	105	36	.	.	PUNCT
dpc-2870	106	1	the	the	DET
dpc-2870	106	2	major	major	ADJ
dpc-2870	106	3	algorithm	algorithm	NOUN
dpc-2870	106	4	limitation	limitation	NOUN
dpc-2870	106	5	is	be	AUX
dpc-2870	106	6	that	that	SCONJ
dpc-2870	106	7	,	,	PUNCT
dpc-2870	106	8	for	for	ADP
dpc-2870	106	9	patients	patient	NOUN
dpc-2870	106	10	with	with	ADP
dpc-2870	106	11	a	a	DET
dpc-2870	106	12	probability	probability	NOUN
dpc-2870	106	13	estimate	estimate	NOUN
dpc-2870	106	14	near	near	ADP
dpc-2870	106	15	50	50	NUM
dpc-2870	106	16	%	%	NOUN
dpc-2870	106	17	(	(	PUNCT
dpc-2870	106	18	who	who	PRON
dpc-2870	106	19	actually	actually	ADV
dpc-2870	106	20	are	be	AUX
dpc-2870	106	21	a	a	DET
dpc-2870	106	22	small	small	ADJ
dpc-2870	106	23	minority	minority	NOUN
dpc-2870	106	24	of	of	ADP
dpc-2870	106	25	our	our	PRON
dpc-2870	106	26	study	study	NOUN
dpc-2870	106	27	population	population	NOUN
dpc-2870	106	28	)	)	PUNCT
dpc-2870	106	29	,	,	PUNCT
dpc-2870	106	30	classification	classification	NOUN
dpc-2870	106	31	might	might	AUX
dpc-2870	106	32	be	be	AUX
dpc-2870	106	33	unreliable	unreliable	ADJ
dpc-2870	106	34	and	and	CCONJ
dpc-2870	106	35	would	would	AUX
dpc-2870	106	36	need	need	VERB
dpc-2870	106	37	dermatologist	dermatologist	VERB
dpc-2870	106	38	careful	careful	ADJ
dpc-2870	106	39	interpretation	interpretation	NOUN
dpc-2870	106	40	.	.	PUNCT
dpc-2870	107	1	in	in	ADP
dpc-2870	107	2	this	this	DET
dpc-2870	107	3	regard	regard	NOUN
dpc-2870	107	4	,	,	PUNCT
dpc-2870	107	5	we	we	PRON
dpc-2870	107	6	chose	choose	VERB
dpc-2870	107	7	not	not	PART
dpc-2870	107	8	to	to	PART
dpc-2870	107	9	include	include	VERB
dpc-2870	107	10	stage	stage	NOUN
dpc-2870	107	11	iii	iii	PROPN
dpc-2870	107	12	aga	aga	PROPN
dpc-2870	107	13	patients	patient	NOUN
dpc-2870	107	14	(	(	PUNCT
dpc-2870	107	15	according	accord	VERB
dpc-2870	107	16	to	to	ADP
dpc-2870	107	17	norwood	norwood	PROPN
dpc-2870	107	18	-	-	PUNCT
dpc-2870	107	19	hamilton	hamilton	PROPN
dpc-2870	107	20	or	or	CCONJ
dpc-2870	107	21	sinclair	sinclair	NOUN
dpc-2870	107	22	scales	scale	NOUN
dpc-2870	107	23	)	)	PUNCT
dpc-2870	107	24	because	because	SCONJ
dpc-2870	107	25	those	those	DET
dpc-2870	107	26	subjects	subject	NOUN
dpc-2870	107	27	would	would	AUX
dpc-2870	107	28	have	have	AUX
dpc-2870	107	29	placed	place	VERB
dpc-2870	107	30	close	close	ADV
dpc-2870	107	31	to	to	ADP
dpc-2870	107	32	the	the	DET
dpc-2870	107	33	algorithm	algorithm	NOUN
dpc-2870	107	34	decision	decision	NOUN
dpc-2870	107	35	boundary	boundary	ADJ
dpc-2870	107	36	and	and	CCONJ
dpc-2870	107	37	probably	probably	ADV
dpc-2870	107	38	would	would	AUX
dpc-2870	107	39	have	have	AUX
dpc-2870	107	40	negatively	negatively	ADV
dpc-2870	107	41	influenced	influence	VERB
dpc-2870	107	42	the	the	DET
dpc-2870	107	43	model	model	NOUN
dpc-2870	107	44	performance	performance	NOUN
dpc-2870	107	45	.	.	PUNCT
dpc-2870	108	1	nevertheless	nevertheless	ADV
dpc-2870	108	2	,	,	PUNCT
dpc-2870	108	3	the	the	DET
dpc-2870	108	4	algorithm	algorithm	NOUN
dpc-2870	108	5	is	be	AUX
dpc-2870	108	6	suitable	suitable	ADJ
dpc-2870	108	7	for	for	ADP
dpc-2870	108	8	all	all	DET
dpc-2870	108	9	aga	aga	NOUN
dpc-2870	108	10	stages	stage	NOUN
dpc-2870	108	11	,	,	PUNCT
dpc-2870	108	12	even	even	ADV
dpc-2870	108	13	though	though	ADV
dpc-2870	108	14	,	,	PUNCT
dpc-2870	108	15	in	in	ADP
dpc-2870	108	16	our	our	PRON
dpc-2870	108	17	opinion	opinion	NOUN
dpc-2870	108	18	,	,	PUNCT
dpc-2870	108	19	it	it	PRON
dpc-2870	108	20	is	be	AUX
dpc-2870	108	21	best	well	ADV
dpc-2870	108	22	applicable	applicable	ADJ
dpc-2870	108	23	in	in	ADP
dpc-2870	108	24	mild	mild	ADJ
dpc-2870	108	25	and	and	CCONJ
dpc-2870	108	26	moderate	moderate	ADJ
dpc-2870	108	27	stages	stage	NOUN
dpc-2870	108	28	.	.	PUNCT
dpc-2870	109	1	in	in	ADP
dpc-2870	109	2	fact	fact	NOUN
dpc-2870	109	3	,	,	PUNCT
dpc-2870	109	4	the	the	DET
dpc-2870	109	5	principal	principal	ADJ
dpc-2870	109	6	aim	aim	NOUN
dpc-2870	109	7	of	of	ADP
dpc-2870	109	8	our	our	PRON
dpc-2870	109	9	model	model	NOUN
dpc-2870	109	10	is	be	AUX
dpc-2870	109	11	to	to	PART
dpc-2870	109	12	reveal	reveal	VERB
dpc-2870	109	13	those	those	DET
dpc-2870	109	14	patients	patient	NOUN
dpc-2870	109	15	presenting	present	VERB
dpc-2870	109	16	with	with	ADP
dpc-2870	109	17	a	a	DET
dpc-2870	109	18	macroscopically	macroscopically	ADV
dpc-2870	109	19	appearing	appear	VERB
dpc-2870	109	20	mild	mild	ADJ
dpc-2870	109	21	alopecia	alopecia	NOUN
dpc-2870	109	22	although	although	SCONJ
dpc-2870	109	23	having	have	VERB
dpc-2870	109	24	a	a	DET
dpc-2870	109	25	trichoscopically	trichoscopically	ADV
dpc-2870	109	26	active	active	ADJ
dpc-2870	109	27	disease	disease	NOUN
dpc-2870	109	28	that	that	PRON
dpc-2870	109	29	might	might	AUX
dpc-2870	109	30	quickly	quickly	ADV
dpc-2870	109	31	advance	advance	VERB
dpc-2870	109	32	to	to	ADP
dpc-2870	109	33	more	more	ADV
dpc-2870	109	34	severe	severe	ADJ
dpc-2870	109	35	stages	stage	NOUN
dpc-2870	109	36	.	.	PUNCT
dpc-2870	110	1	naturally	naturally	ADV
dpc-2870	110	2	,	,	PUNCT
dpc-2870	110	3	it	it	PRON
dpc-2870	110	4	is	be	AUX
dpc-2870	110	5	necessary	necessary	ADJ
dpc-2870	110	6	to	to	PART
dpc-2870	110	7	test	test	VERB
dpc-2870	110	8	model	model	NOUN
dpc-2870	110	9	’s	’s	PART
dpc-2870	110	10	ability	ability	NOUN
dpc-2870	110	11	to	to	PART
dpc-2870	110	12	generalize	generalize	VERB
dpc-2870	110	13	on	on	ADP
dpc-2870	110	14	a	a	DET
dpc-2870	110	15	wider	wide	ADJ
dpc-2870	110	16	population	population	NOUN
dpc-2870	110	17	sample	sample	NOUN
dpc-2870	110	18	,	,	PUNCT
dpc-2870	110	19	enrolling	enrol	VERB
dpc-2870	110	20	patients	patient	NOUN
dpc-2870	110	21	from	from	ADP
dpc-2870	110	22	centers	center	NOUN
dpc-2870	110	23	familiar	familiar	ADJ
dpc-2870	110	24	with	with	ADP
dpc-2870	110	25	the	the	DET
dpc-2870	110	26	use	use	NOUN
dpc-2870	110	27	of	of	ADP
dpc-2870	110	28	trichoscopic	trichoscopic	NOUN
dpc-2870	110	29	pattern	pattern	NOUN
dpc-2870	110	30	analysis	analysis	NOUN
dpc-2870	110	31	software	software	NOUN
dpc-2870	110	32	like	like	ADP
dpc-2870	110	33	trichoscale	trichoscale	NOUN
dpc-2870	110	34	pro	pro	ADJ
dpc-2870	110	35	®	®	NOUN
dpc-2870	110	36	.	.	PUNCT
dpc-2870	111	1	recently	recently	ADV
dpc-2870	111	2	,	,	PUNCT
dpc-2870	111	3	artificial	artificial	ADJ
dpc-2870	111	4	intelligence	intelligence	NOUN
dpc-2870	111	5	has	have	AUX
dpc-2870	111	6	made	make	VERB
dpc-2870	111	7	great	great	ADJ
dpc-2870	111	8	progresses	progress	NOUN
dpc-2870	111	9	in	in	ADP
dpc-2870	111	10	the	the	DET
dpc-2870	111	11	study	study	NOUN
dpc-2870	111	12	of	of	ADP
dpc-2870	111	13	hair	hair	NOUN
dpc-2870	111	14	disorders	disorder	NOUN
dpc-2870	111	15	,	,	PUNCT
dpc-2870	111	16	and	and	CCONJ
dpc-2870	111	17	many	many	ADJ
dpc-2870	111	18	programs	program	NOUN
dpc-2870	111	19	have	have	AUX
dpc-2870	111	20	recently	recently	ADV
dpc-2870	111	21	been	be	AUX
dpc-2870	111	22	developed	develop	VERB
dpc-2870	111	23	for	for	ADP
dpc-2870	111	24	the	the	DET
dpc-2870	111	25	automated	automate	VERB
dpc-2870	111	26	count	count	NOUN
dpc-2870	111	27	of	of	ADP
dpc-2870	111	28	hair	hair	NOUN
dpc-2870	111	29	number	number	NOUN
dpc-2870	111	30	,	,	PUNCT
dpc-2870	111	31	hair	hair	NOUN
dpc-2870	111	32	diameter	diameter	NOUN
dpc-2870	111	33	and	and	CCONJ
dpc-2870	111	34	other	other	ADJ
dpc-2870	111	35	trichoscopic	trichoscopic	NOUN
dpc-2870	111	36	patterns	pattern	NOUN
dpc-2870	111	37	[	[	X
dpc-2870	111	38	6,7	6,7	NUM
dpc-2870	111	39	]	]	PUNCT
dpc-2870	111	40	.	.	PUNCT
dpc-2870	112	1	6	6	NUM
dpc-2870	112	2	original	original	ADJ
dpc-2870	112	3	article	article	NOUN
dpc-2870	112	4	|	|	ADV
dpc-2870	112	5	dermatol	dermatol	ADJ
dpc-2870	112	6	pract	pract	NOUN
dpc-2870	112	7	concept	concept	NOUN
dpc-2870	112	8	.	.	PUNCT
dpc-2870	113	1	2023;13(3):e2023136	2023;13(3):e2023136	NUM
dpc-2870	113	2	4	4	NUM
dpc-2870	113	3	.	.	PUNCT
dpc-2870	113	4	biondo	biondo	PROPN
dpc-2870	113	5	s	s	PROPN
dpc-2870	113	6	,	,	PUNCT
dpc-2870	113	7	goble	goble	PROPN
dpc-2870	113	8	d	d	PROPN
dpc-2870	113	9	,	,	PUNCT
dpc-2870	113	10	sinclair	sinclair	PROPN
dpc-2870	113	11	r.	r.	PROPN
dpc-2870	113	12	women	women	PROPN
dpc-2870	113	13	who	who	PRON
dpc-2870	113	14	present	present	VERB
dpc-2870	113	15	with	with	ADP
dpc-2870	113	16	female	female	ADJ
dpc-2870	113	17	pattern	pattern	NOUN
dpc-2870	113	18	hair	hair	NOUN
dpc-2870	113	19	loss	loss	NOUN
dpc-2870	113	20	tend	tend	VERB
dpc-2870	113	21	to	to	PART
dpc-2870	113	22	underestimate	underestimate	VERB
dpc-2870	113	23	the	the	DET
dpc-2870	113	24	severity	severity	NOUN
dpc-2870	113	25	of	of	ADP
dpc-2870	113	26	their	their	PRON
dpc-2870	113	27	hair	hair	NOUN
dpc-2870	113	28	loss	loss	NOUN
dpc-2870	113	29	.	.	PUNCT
dpc-2870	114	1	br	br	PROPN
dpc-2870	114	2	j	j	PROPN
dpc-2870	114	3	dermatol	dermatol	NOUN
dpc-2870	114	4	.	.	PUNCT
dpc-2870	115	1	2004;150(4):750	2004;150(4):750	X
dpc-2870	115	2	-	-	PUNCT
dpc-2870	115	3	752	752	NUM
dpc-2870	115	4	.	.	PUNCT
dpc-2870	116	1	doi	doi	NOUN
dpc-2870	116	2	:	:	PUNCT
dpc-2870	116	3	10.1046	10.1046	NUM
dpc-2870	116	4	/	/	SYM
dpc-2870	116	5	j.0007	j.0007	PROPN
dpc-2870	116	6	-0963.2003.05809.x	-0963.2003.05809.x	PROPN
dpc-2870	116	7	.	.	PUNCT
dpc-2870	117	1	pmid	pmid	NOUN
dpc-2870	117	2	:	:	PUNCT
dpc-2870	117	3	15099373	15099373	NUM
dpc-2870	117	4	.	.	PUNCT
dpc-2870	118	1	5	5	NUM
dpc-2870	118	2	.	.	X
dpc-2870	118	3	starace	starace	PROPN
dpc-2870	118	4	m	m	PROPN
dpc-2870	118	5	,	,	PUNCT
dpc-2870	118	6	orlando	orlando	PROPN
dpc-2870	118	7	g	g	PROPN
dpc-2870	118	8	,	,	PUNCT
dpc-2870	118	9	alessandrini	alessandrini	PROPN
dpc-2870	118	10	a	a	PRON
dpc-2870	118	11	,	,	PUNCT
dpc-2870	118	12	piraccini	piraccini	PROPN
dpc-2870	118	13	bm	bm	PROPN
dpc-2870	118	14	.	.	PUNCT
dpc-2870	118	15	female	female	ADJ
dpc-2870	118	16	androgenetic	androgenetic	ADJ
dpc-2870	118	17	alopecia	alopecia	NOUN
dpc-2870	118	18	:	:	PUNCT
dpc-2870	118	19	an	an	DET
dpc-2870	118	20	update	update	NOUN
dpc-2870	118	21	on	on	ADP
dpc-2870	118	22	diagnosis	diagnosis	NOUN
dpc-2870	118	23	and	and	CCONJ
dpc-2870	118	24	management	management	NOUN
dpc-2870	118	25	.	.	PUNCT
dpc-2870	118	26	am	be	AUX
dpc-2870	118	27	j	j	PROPN
dpc-2870	118	28	clin	clin	PROPN
dpc-2870	118	29	dermatol	dermatol	NOUN
dpc-2870	118	30	.	.	PUNCT
dpc-2870	119	1	2020;21(1):69	2020;21(1):69	NUM
dpc-2870	119	2	-	-	SYM
dpc-2870	119	3	84	84	NUM
dpc-2870	119	4	.	.	PUNCT
dpc-2870	120	1	doi	doi	NOUN
dpc-2870	120	2	:	:	PUNCT
dpc-2870	120	3	10.1007	10.1007	NUM
dpc-2870	120	4	/	/	SYM
dpc-2870	120	5	s40257	s40257	NOUN
dpc-2870	120	6	-019	-019	NUM
dpc-2870	120	7	-	-	PUNCT
dpc-2870	120	8	00479	00479	NUM
dpc-2870	120	9	-	-	PUNCT
dpc-2870	120	10	x.	x.	NOUN
dpc-2870	120	11	pmid	pmid	PROPN
dpc-2870	120	12	:	:	PUNCT
dpc-2870	120	13	31677111	31677111	NUM
dpc-2870	120	14	.	.	PUNCT
dpc-2870	121	1	6	6	X
dpc-2870	121	2	.	.	X
dpc-2870	121	3	gupta	gupta	PROPN
dpc-2870	121	4	ak	ak	PROPN
dpc-2870	121	5	,	,	PUNCT
dpc-2870	121	6	ivanova	ivanova	PROPN
dpc-2870	121	7	ia	ia	PROPN
dpc-2870	121	8	,	,	PUNCT
dpc-2870	121	9	renaud	renaud	PROPN
dpc-2870	121	10	hj	hj	PROPN
dpc-2870	121	11	.	.	PUNCT
dpc-2870	122	1	how	how	SCONJ
dpc-2870	122	2	good	good	ADJ
dpc-2870	122	3	is	be	AUX
dpc-2870	122	4	artificial	artificial	ADJ
dpc-2870	122	5	intelligence	intelligence	NOUN
dpc-2870	122	6	(	(	PUNCT
dpc-2870	122	7	ai	ai	NOUN
dpc-2870	122	8	)	)	PUNCT
dpc-2870	122	9	at	at	ADP
dpc-2870	122	10	solving	solve	VERB
dpc-2870	122	11	hairy	hairy	ADJ
dpc-2870	122	12	problems	problem	NOUN
dpc-2870	122	13	?	?	PUNCT
dpc-2870	123	1	a	a	DET
dpc-2870	123	2	review	review	NOUN
dpc-2870	123	3	of	of	ADP
dpc-2870	123	4	ai	ai	PROPN
dpc-2870	123	5	applications	application	NOUN
dpc-2870	123	6	in	in	ADP
dpc-2870	123	7	hair	hair	NOUN
dpc-2870	123	8	restoration	restoration	NOUN
dpc-2870	123	9	and	and	CCONJ
dpc-2870	123	10	hair	hair	NOUN
dpc-2870	123	11	disorders	disorder	NOUN
dpc-2870	123	12	.	.	PUNCT
dpc-2870	124	1	dermatol	dermatol	NOUN
dpc-2870	124	2	ther	ther	ADV
dpc-2870	124	3	.	.	PUNCT
dpc-2870	125	1	2021;34(2):e14811	2021;34(2):e14811	X
dpc-2870	125	2	.	.	PUNCT
dpc-2870	125	3	doi	doi	NOUN
dpc-2870	125	4	:	:	PUNCT
dpc-2870	125	5	10.1111	10.1111	NUM
dpc-2870	125	6	/	/	SYM
dpc-2870	125	7	dth.14811	dth.14811	PROPN
dpc-2870	125	8	.	.	PUNCT
dpc-2870	126	1	pmid	pmid	NOUN
dpc-2870	126	2	:	:	PUNCT
dpc-2870	126	3	33496058	33496058	NUM
dpc-2870	126	4	.	.	PUNCT
dpc-2870	127	1	7	7	X
dpc-2870	127	2	.	.	X
dpc-2870	127	3	jartarkar	jartarkar	PROPN
dpc-2870	127	4	s	s	PROPN
dpc-2870	127	5	,	,	PUNCT
dpc-2870	127	6	patil	patil	PROPN
dpc-2870	127	7	a	a	PRON
dpc-2870	127	8	,	,	PUNCT
dpc-2870	127	9	waskiel	waskiel	PROPN
dpc-2870	127	10	-	-	PUNCT
dpc-2870	127	11	burnat	burnat	NOUN
dpc-2870	127	12	a	a	PRON
dpc-2870	127	13	,	,	PUNCT
dpc-2870	127	14	rudnicka	rudnicka	NOUN
dpc-2870	127	15	l	l	PROPN
dpc-2870	127	16	,	,	PUNCT
dpc-2870	127	17	starace	starace	NOUN
dpc-2870	127	18	m	m	PROPN
dpc-2870	127	19	,	,	PUNCT
dpc-2870	127	20	grabbe	grabbe	PROPN
dpc-2870	127	21	s	s	PROPN
dpc-2870	127	22	,	,	PUNCT
dpc-2870	127	23	goldust	goldust	PROPN
dpc-2870	127	24	m.	m.	PROPN
dpc-2870	127	25	artificial	artificial	ADJ
dpc-2870	127	26	intelligence	intelligence	NOUN
dpc-2870	127	27	in	in	ADP
dpc-2870	127	28	hair	hair	NOUN
dpc-2870	127	29	and	and	CCONJ
dpc-2870	127	30	nail	nail	NOUN
dpc-2870	127	31	disorders	disorder	NOUN
dpc-2870	127	32	.	.	PUNCT
dpc-2870	128	1	j	j	PROPN
dpc-2870	128	2	drugs	drug	NOUN
dpc-2870	128	3	dermatol	dermatol	NOUN
dpc-2870	128	4	.	.	PUNCT
dpc-2870	129	1	2022;21(10):1049	2022;21(10):1049	NUM
dpc-2870	129	2	-	-	SYM
dpc-2870	129	3	1052	1052	NUM
dpc-2870	129	4	doi	doi	NOUN
dpc-2870	129	5	:	:	PUNCT
dpc-2870	129	6	10.36849	10.36849	NUM
dpc-2870	129	7	/	/	SYM
dpc-2870	129	8	jdd.6519	jdd.6519	PROPN
dpc-2870	129	9	.	.	PUNCT
dpc-2870	130	1	pmid	pmid	NOUN
dpc-2870	130	2	:	:	PUNCT
dpc-2870	130	3	36219051	36219051	NUM
dpc-2870	130	4	.	.	PUNCT
dpc-2870	131	1	8	8	X
dpc-2870	131	2	.	.	PUNCT
dpc-2870	131	3	cortes	corte	VERB
dpc-2870	131	4	c	c	PROPN
dpc-2870	131	5	,	,	PUNCT
dpc-2870	131	6	vapnik	vapnik	X
dpc-2870	131	7	v.	v.	CCONJ
dpc-2870	131	8	support	support	NOUN
dpc-2870	131	9	-	-	PUNCT
dpc-2870	131	10	vector	vector	NOUN
dpc-2870	131	11	networks	network	NOUN
dpc-2870	131	12	.	.	PUNCT
dpc-2870	132	1	mach	mach	NOUN
dpc-2870	132	2	learn	learn	VERB
dpc-2870	132	3	.	.	PUNCT
dpc-2870	133	1	1995;20:273–297	1995;20:273–297	NUM
dpc-2870	133	2	.	.	PUNCT
dpc-2870	134	1	doi	doi	NOUN
dpc-2870	134	2	:	:	PUNCT
dpc-2870	134	3	10.1007	10.1007	NUM
dpc-2870	134	4	/	/	SYM
dpc-2870	134	5	bf00994018	bf00994018	PROPN
dpc-2870	134	6	9	9	NUM
dpc-2870	134	7	.	.	PUNCT
dpc-2870	134	8	hu	hu	PROPN
dpc-2870	135	1	r	r	PROPN
dpc-2870	135	2	,	,	PUNCT
dpc-2870	135	3	xu	xu	PROPN
dpc-2870	136	1	f	f	PROPN
dpc-2870	136	2	,	,	PUNCT
dpc-2870	136	3	han	han	PROPN
dpc-2870	136	4	y	y	PROPN
dpc-2870	136	5	,	,	PUNCT
dpc-2870	136	6	sheng	sheng	PROPN
dpc-2870	136	7	y	y	PROPN
dpc-2870	136	8	,	,	PUNCT
dpc-2870	136	9	qi	qi	PROPN
dpc-2870	136	10	s	s	PROPN
dpc-2870	136	11	,	,	PUNCT
dpc-2870	136	12	miao	miao	PROPN
dpc-2870	136	13	y	y	PROPN
dpc-2870	136	14	,	,	PUNCT
dpc-2870	136	15	yang	yang	PROPN
dpc-2870	136	16	q.	q.	PROPN
dpc-2870	136	17	trichoscopic	trichoscopic	PROPN
dpc-2870	136	18	findings	finding	NOUN
dpc-2870	136	19	of	of	ADP
dpc-2870	136	20	androgenetic	androgenetic	ADJ
dpc-2870	136	21	alopecia	alopecia	NOUN
dpc-2870	136	22	and	and	CCONJ
dpc-2870	136	23	their	their	PRON
dpc-2870	136	24	association	association	NOUN
dpc-2870	136	25	with	with	ADP
dpc-2870	136	26	disease	disease	NOUN
dpc-2870	136	27	severity	severity	NOUN
dpc-2870	136	28	.	.	PUNCT
dpc-2870	137	1	j	j	PROPN
dpc-2870	137	2	dermatol	dermatol	NOUN
dpc-2870	137	3	.	.	PUNCT
dpc-2870	138	1	2015;42(6):602	2015;42(6):602	NUM
dpc-2870	138	2	-	-	SYM
dpc-2870	138	3	607	607	NUM
dpc-2870	138	4	.	.	PUNCT
dpc-2870	139	1	doi	doi	NOUN
dpc-2870	139	2	:	:	PUNCT
dpc-2870	139	3	10.1111/1346	10.1111/1346	NUM
dpc-2870	139	4	-	-	NOUN
dpc-2870	139	5	8138.12857	8138.12857	NUM
dpc-2870	139	6	.	.	PUNCT
dpc-2870	140	1	pmid	pmid	NOUN
dpc-2870	140	2	:	:	PUNCT
dpc-2870	140	3	25810236	25810236	NUM
dpc-2870	140	4	.	.	PUNCT
dpc-2870	141	1	however	however	ADV
dpc-2870	141	2	,	,	PUNCT
dpc-2870	141	3	based	base	VERB
dpc-2870	141	4	upon	upon	SCONJ
dpc-2870	141	5	our	our	PRON
dpc-2870	141	6	knowledge	knowledge	NOUN
dpc-2870	141	7	,	,	PUNCT
dpc-2870	141	8	no	no	DET
dpc-2870	141	9	algorithm	algorithm	NOUN
dpc-2870	141	10	has	have	AUX
dpc-2870	141	11	yet	yet	ADV
dpc-2870	141	12	been	be	AUX
dpc-2870	141	13	elaborated	elaborate	VERB
dpc-2870	141	14	to	to	PART
dpc-2870	141	15	classify	classify	VERB
dpc-2870	141	16	patients	patient	NOUN
dpc-2870	141	17	affected	affect	VERB
dpc-2870	141	18	by	by	ADP
dpc-2870	141	19	aga	aga	PROPN
dpc-2870	141	20	,	,	PUNCT
dpc-2870	141	21	neither	neither	CCONJ
dpc-2870	141	22	to	to	PART
dpc-2870	141	23	assess	assess	VERB
dpc-2870	141	24	disease	disease	NOUN
dpc-2870	141	25	severity	severity	NOUN
dpc-2870	141	26	.	.	PUNCT
dpc-2870	142	1	for	for	ADP
dpc-2870	142	2	this	this	DET
dpc-2870	142	3	reason	reason	NOUN
dpc-2870	142	4	,	,	PUNCT
dpc-2870	142	5	we	we	PRON
dpc-2870	142	6	believe	believe	VERB
dpc-2870	142	7	our	our	PRON
dpc-2870	142	8	model	model	NOUN
dpc-2870	142	9	could	could	AUX
dpc-2870	142	10	be	be	AUX
dpc-2870	142	11	of	of	ADP
dpc-2870	142	12	great	great	ADJ
dpc-2870	142	13	support	support	NOUN
dpc-2870	142	14	for	for	ADP
dpc-2870	142	15	dermatologists	dermatologist	NOUN
dpc-2870	142	16	in	in	ADP
dpc-2870	142	17	the	the	DET
dpc-2870	142	18	management	management	NOUN
dpc-2870	142	19	of	of	ADP
dpc-2870	142	20	aga	aga	NOUN
dpc-2870	142	21	,	,	PUNCT
dpc-2870	142	22	especially	especially	ADV
dpc-2870	142	23	in	in	ADP
dpc-2870	142	24	defining	define	VERB
dpc-2870	142	25	a	a	DET
dpc-2870	142	26	more	more	ADV
dpc-2870	142	27	precise	precise	ADJ
dpc-2870	142	28	staging	staging	NOUN
dpc-2870	142	29	and	and	CCONJ
dpc-2870	142	30	,	,	PUNCT
dpc-2870	142	31	thus	thus	ADV
dpc-2870	142	32	,	,	PUNCT
dpc-2870	142	33	in	in	ADP
dpc-2870	142	34	prescribing	prescribe	VERB
dpc-2870	142	35	a	a	DET
dpc-2870	142	36	more	more	ADV
dpc-2870	142	37	appropriate	appropriate	ADJ
dpc-2870	142	38	therapy	therapy	NOUN
dpc-2870	142	39	.	.	PUNCT
dpc-2870	143	1	references	reference	NOUN
dpc-2870	143	2	1	1	NUM
dpc-2870	143	3	.	.	PUNCT
dpc-2870	144	1	alessandrini	alessandrini	PROPN
dpc-2870	144	2	a	a	PRON
dpc-2870	144	3	,	,	PUNCT
dpc-2870	144	4	starace	starace	NOUN
dpc-2870	144	5	m	m	PROPN
dpc-2870	144	6	,	,	PUNCT
dpc-2870	144	7	d’ovidio	d’ovidio	PROPN
dpc-2870	144	8	r	r	NOUN
dpc-2870	144	9	,	,	PUNCT
dpc-2870	144	10	et	et	PROPN
dpc-2870	144	11	al	al	PROPN
dpc-2870	144	12	.	.	PUNCT
dpc-2870	145	1	androgenetic	androgenetic	ADJ
dpc-2870	145	2	alopecia	alopecia	NOUN
dpc-2870	145	3	in	in	ADP
dpc-2870	145	4	women	woman	NOUN
dpc-2870	145	5	and	and	CCONJ
dpc-2870	145	6	men	man	NOUN
dpc-2870	145	7	:	:	PUNCT
dpc-2870	145	8	italian	italian	ADJ
dpc-2870	145	9	guidelines	guideline	NOUN
dpc-2870	145	10	adapted	adapt	VERB
dpc-2870	145	11	from	from	ADP
dpc-2870	145	12	european	european	PROPN
dpc-2870	145	13	dermatology	dermatology	PROPN
dpc-2870	145	14	forum	forum	PROPN
dpc-2870	145	15	/	/	SYM
dpc-2870	145	16	european	european	PROPN
dpc-2870	145	17	academy	academy	PROPN
dpc-2870	145	18	of	of	ADP
dpc-2870	145	19	dermatology	dermatology	NOUN
dpc-2870	145	20	and	and	CCONJ
dpc-2870	145	21	venereology	venereology	NOUN
dpc-2870	145	22	guidelines	guideline	NOUN
dpc-2870	145	23	.	.	PUNCT
dpc-2870	146	1	g	g	ADP
dpc-2870	146	2	ital	ital	ADJ
dpc-2870	146	3	dermatol	dermatol	NOUN
dpc-2870	146	4	venereol	venereol	NOUN
dpc-2870	146	5	.	.	PUNCT
dpc-2870	147	1	2020;155(5):622	2020;155(5):622	NUM
dpc-2870	147	2	-	-	SYM
dpc-2870	147	3	631	631	NUM
dpc-2870	147	4	.	.	PUNCT
dpc-2870	148	1	doi	doi	NOUN
dpc-2870	148	2	:	:	PUNCT
dpc-2870	148	3	10.23736	10.23736	NUM
dpc-2870	148	4	/	/	SYM
dpc-2870	148	5	s0392	s0392	NOUN
dpc-2870	148	6	-	-	PUNCT
dpc-2870	148	7	0488.19.06399	0488.19.06399	NOUN
dpc-2870	148	8	-	-	PUNCT
dpc-2870	148	9	5	5	NUM
dpc-2870	148	10	.	.	PUNCT
dpc-2870	149	1	pmid	pmid	NOUN
dpc-2870	149	2	:	:	PUNCT
dpc-2870	149	3	33295740	33295740	NUM
dpc-2870	149	4	.	.	X
dpc-2870	150	1	2	2	X
dpc-2870	150	2	.	.	X
dpc-2870	150	3	lolli	lolli	PROPN
dpc-2870	150	4	f	f	PROPN
dpc-2870	150	5	,	,	PUNCT
dpc-2870	150	6	pallotti	pallotti	PROPN
dpc-2870	150	7	f	f	PROPN
dpc-2870	150	8	,	,	PUNCT
dpc-2870	150	9	rossi	rossi	ADJ
dpc-2870	150	10	a	a	X
dpc-2870	150	11	,	,	PUNCT
dpc-2870	150	12	et	et	PROPN
dpc-2870	150	13	al	al	PROPN
dpc-2870	150	14	.	.	PUNCT
dpc-2870	150	15	androgenetic	androgenetic	ADJ
dpc-2870	150	16	alopecia	alopecia	NOUN
dpc-2870	150	17	:	:	PUNCT
dpc-2870	150	18	a	a	DET
dpc-2870	150	19	review	review	NOUN
dpc-2870	150	20	.	.	PUNCT
dpc-2870	151	1	endocrine	endocrine	NOUN
dpc-2870	151	2	.	.	PUNCT
dpc-2870	152	1	2017;57(1):9	2017;57(1):9	NUM
dpc-2870	152	2	-	-	SYM
dpc-2870	152	3	17	17	NUM
dpc-2870	152	4	.	.	PUNCT
dpc-2870	153	1	doi	doi	NOUN
dpc-2870	153	2	:	:	PUNCT
dpc-2870	153	3	10.1007	10.1007	NUM
dpc-2870	153	4	/	/	SYM
dpc-2870	153	5	s12020	s12020	NOUN
dpc-2870	153	6	-	-	PUNCT
dpc-2870	153	7	017	017	NUM
dpc-2870	153	8	-	-	PUNCT
dpc-2870	153	9	1280	1280	NUM
dpc-2870	153	10	-	-	PUNCT
dpc-2870	153	11	y.	y.	NOUN
dpc-2870	153	12	pmid	pmid	PROPN
dpc-2870	153	13	:	:	PUNCT
dpc-2870	153	14	28349362	28349362	NUM
dpc-2870	153	15	.	.	PUNCT
dpc-2870	154	1	3	3	X
dpc-2870	154	2	.	.	X
dpc-2870	154	3	norwood	norwood	PROPN
dpc-2870	154	4	ot	ot	PROPN
dpc-2870	154	5	.	.	PROPN
dpc-2870	154	6	male	male	ADJ
dpc-2870	154	7	pattern	pattern	NOUN
dpc-2870	154	8	baldness	baldness	NOUN
dpc-2870	154	9	:	:	PUNCT
dpc-2870	154	10	classification	classification	NOUN
dpc-2870	154	11	and	and	CCONJ
dpc-2870	154	12	incidence	incidence	NOUN
dpc-2870	154	13	.	.	PUNCT
dpc-2870	155	1	south	south	PROPN
dpc-2870	155	2	med	med	PROPN
dpc-2870	155	3	j.	j.	PROPN
dpc-2870	155	4	1975;68(11):1359	1975;68(11):1359	PROPN
dpc-2870	155	5	-	-	PUNCT
dpc-2870	155	6	1365	1365	NUM
dpc-2870	155	7	.	.	PUNCT
dpc-2870	156	1	doi	doi	NOUN
dpc-2870	156	2	:	:	PUNCT
dpc-2870	156	3	10.1097/00007611	10.1097/00007611	NUM
dpc-2870	156	4	-197511000	-197511000	PROPN
dpc-2870	156	5	-	-	PUNCT
dpc-2870	156	6	00009	00009	NUM
dpc-2870	156	7	.	.	PUNCT
dpc-2870	157	1	pmid	pmid	NOUN
dpc-2870	157	2	:	:	PUNCT
dpc-2870	157	3	1188424	1188424	NUM
dpc-2870	157	4	.	.	PUNCT
dpc-2870	158	1	figure	figure	VERB
dpc-2870	158	2	4	4	NUM
dpc-2870	158	3	.	.	NOUN
dpc-2870	158	4	example	example	NOUN
dpc-2870	158	5	of	of	ADP
dpc-2870	158	6	model	model	NOUN
dpc-2870	158	7	application	application	NOUN
dpc-2870	158	8	.	.	PUNCT
dpc-2870	159	1	after	after	ADP
dpc-2870	159	2	macroscopic	macroscopic	ADJ
dpc-2870	159	3	examination	examination	NOUN
dpc-2870	159	4	,	,	PUNCT
dpc-2870	159	5	a	a	DET
dpc-2870	159	6	20x	20x	NOUN
dpc-2870	159	7	trichoscopic	trichoscopic	NOUN
dpc-2870	159	8	photograph	photograph	NOUN
dpc-2870	159	9	is	be	AUX
dpc-2870	159	10	taken	take	VERB
dpc-2870	159	11	and	and	CCONJ
dpc-2870	159	12	trichoscopic	trichoscopic	NOUN
dpc-2870	159	13	patterns	pattern	NOUN
dpc-2870	159	14	are	be	AUX
dpc-2870	159	15	automatically	automatically	ADV
dpc-2870	159	16	analyzed	analyze	VERB
dpc-2870	159	17	by	by	ADP
dpc-2870	159	18	trichoscale	trichoscale	NOUN
dpc-2870	159	19	pro	pro	ADJ
dpc-2870	159	20	®	®	NOUN
dpc-2870	159	21	program	program	NOUN
dpc-2870	159	22	.	.	PUNCT
dpc-2870	160	1	the	the	DET
dpc-2870	160	2	calculated	calculated	ADJ
dpc-2870	160	3	values	value	NOUN
dpc-2870	160	4	are	be	AUX
dpc-2870	160	5	then	then	ADV
dpc-2870	160	6	inserted	insert	VERB
dpc-2870	160	7	into	into	ADP
dpc-2870	160	8	the	the	DET
dpc-2870	160	9	support	support	NOUN
dpc-2870	160	10	vector	vector	NOUN
dpc-2870	160	11	machine	machine	NOUN
dpc-2870	160	12	(	(	PUNCT
dpc-2870	160	13	svm	svm	ADJ
dpc-2870	160	14	)	)	PUNCT
dpc-2870	160	15	algorithm	algorithm	NOUN
dpc-2870	160	16	,	,	PUNCT
dpc-2870	160	17	which	which	PRON
dpc-2870	160	18	classify	classify	VERB
dpc-2870	160	19	the	the	DET
dpc-2870	160	20	patient	patient	NOUN
dpc-2870	160	21	as	as	SCONJ
dpc-2870	160	22	affected	affect	VERB
dpc-2870	160	23	by	by	ADP
dpc-2870	160	24	moderate	moderate	ADJ
dpc-2870	160	25	-	-	PUNCT
dpc-2870	160	26	severe	severe	ADJ
dpc-2870	160	27	androgenic	androgenic	ADJ
dpc-2870	160	28	alopecia	alopecia	NOUN
dpc-2870	160	29	(	(	PUNCT
dpc-2870	160	30	aga	aga	PROPN
dpc-2870	160	31	)	)	PUNCT
dpc-2870	160	32	,	,	PUNCT
dpc-2870	160	33	with	with	ADP
dpc-2870	160	34	a	a	DET
dpc-2870	160	35	77	77	NUM
dpc-2870	160	36	%	%	NOUN
dpc-2870	160	37	probability	probability	NOUN
dpc-2870	160	38	of	of	ADP
dpc-2870	160	39	the	the	DET
dpc-2870	160	40	decision	decision	NOUN
dpc-2870	160	41	being	be	AUX
dpc-2870	160	42	correct	correct	ADJ
dpc-2870	160	43	.	.	PUNCT