The impact of stage-related features in melanoma recurrence prediction: A machine learning approach

Guihong Wan; Bonnie Leung; Nga Nguyen; Mia S. DeSimone; Feng Liu; Min Seok Choi; Diane Ho; Valerie Laucks; Stacey Duey; Ryan J. Sullivan; Genevieve M. Boland; Nicole R. LeBoeuf; David Liu; Alexander Gusev; Shawn G. Kwatra; Peter K. Sorger; Kun Hsing Yu; Yevgeniy R. Semenov

doi:10.1016/j.jdin.2022.08.014

The impact of stage-related features in melanoma recurrence prediction: A machine learning approach

Guihong Wan
, Bonnie Leung
, Nga Nguyen
, Mia S. DeSimone
, Feng Liu
, Min Seok Choi
, Diane Ho
, Valerie Laucks
, Stacey Duey
, Ryan J. Sullivan
, Genevieve M. Boland
, Nicole R. LeBoeuf
, David Liu
, Alexander Gusev
, Shawn G. Kwatra
, Peter K. Sorger
, Kun Hsing Yu
, Yevgeniy R. Semenov

School of Medicine

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	28-30
Number of pages	3
Journal	JAAD International
Volume	10
DOIs	https://doi.org/10.1016/j.jdin.2022.08.014
State	Published - Mar 2023

ASJC Scopus subject areas

Dermatology

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10.1016/j.jdin.2022.08.014

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Wan, G., Leung, B., Nguyen, N., DeSimone, M. S., Liu, F., Choi, M. S., Ho, D., Laucks, V., Duey, S., Sullivan, R. J., Boland, G. M., LeBoeuf, N. R., Liu, D., Gusev, A., Kwatra, S. G., Sorger, P. K., Yu, K. H., & Semenov, Y. R. (2023). The impact of stage-related features in melanoma recurrence prediction: A machine learning approach. JAAD International, 10, 28-30. https://doi.org/10.1016/j.jdin.2022.08.014

Wan, G, Leung, B, Nguyen, N, DeSimone, MS, Liu, F, Choi, MS, Ho, D, Laucks, V, Duey, S, Sullivan, RJ, Boland, GM, LeBoeuf, NR, Liu, D, Gusev, A, Kwatra, SG, Sorger, PK, Yu, KH & Semenov, YR 2023, 'The impact of stage-related features in melanoma recurrence prediction: A machine learning approach', JAAD International, vol. 10, pp. 28-30. https://doi.org/10.1016/j.jdin.2022.08.014

@article{d6f8e0aafaa941e29e384c450a4afa90,

title = "The impact of stage-related features in melanoma recurrence prediction: A machine learning approach",

author = "Guihong Wan and Bonnie Leung and Nga Nguyen and DeSimone, \{Mia S.\} and Feng Liu and Choi, \{Min Seok\} and Diane Ho and Valerie Laucks and Stacey Duey and Sullivan, \{Ryan J.\} and Boland, \{Genevieve M.\} and LeBoeuf, \{Nicole R.\} and David Liu and Alexander Gusev and Kwatra, \{Shawn G.\} and Sorger, \{Peter K.\} and Yu, \{Kun Hsing\} and Semenov, \{Yevgeniy R.\}",

note = "Funding Information: Funding sources: K-H.Y. is supported in part by R35GM142879 from the National Institute of General Medical Sciences , NIH . Y.R.S. is supported in part by the Department of Defense under award number W81XWH2110819 and by the Dermatology Foundation under the Medical Dermatology Career Development Award. The other authors received no funding for this research. ",

year = "2023",

month = mar,

doi = "10.1016/j.jdin.2022.08.014",

language = "English (US)",

volume = "10",

pages = "28--30",

journal = "JAAD International",

issn = "2666-3287",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - The impact of stage-related features in melanoma recurrence prediction

T2 - A machine learning approach

AU - Wan, Guihong

AU - Leung, Bonnie

AU - Nguyen, Nga

AU - DeSimone, Mia S.

AU - Liu, Feng

AU - Choi, Min Seok

AU - Ho, Diane

AU - Laucks, Valerie

AU - Duey, Stacey

AU - Sullivan, Ryan J.

AU - Boland, Genevieve M.

AU - LeBoeuf, Nicole R.

AU - Liu, David

AU - Gusev, Alexander

AU - Kwatra, Shawn G.

AU - Sorger, Peter K.

AU - Yu, Kun Hsing

AU - Semenov, Yevgeniy R.

N1 - Funding Information: Funding sources: K-H.Y. is supported in part by R35GM142879 from the National Institute of General Medical Sciences , NIH . Y.R.S. is supported in part by the Department of Defense under award number W81XWH2110819 and by the Dermatology Foundation under the Medical Dermatology Career Development Award. The other authors received no funding for this research.

PY - 2023/3

Y1 - 2023/3

UR - https://www.scopus.com/pages/publications/85142145109

UR - https://www.scopus.com/pages/publications/85142145109#tab=citedBy

U2 - 10.1016/j.jdin.2022.08.014

DO - 10.1016/j.jdin.2022.08.014

M3 - Article

C2 - 36425793

AN - SCOPUS:85142145109

SN - 2666-3287

VL - 10

SP - 28

EP - 30

JO - JAAD International

JF - JAAD International

ER -

The impact of stage-related features in melanoma recurrence prediction: A machine learning approach

ASJC Scopus subject areas

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