The impact of stage-related features in melanoma recurrence prediction: A machine learning approach
JAAD Int
.
2022 Aug 30:10:28-30.
doi: 10.1016/j.jdin.2022.08.014.
eCollection 2023 Mar.
Authors
Guihong Wan
1
2
3
,
Bonnie Leung
1
,
Nga Nguyen
1
,
Mia S DeSimone
4
,
Feng Liu
5
,
Min Seok Choi
1
,
Diane Ho
1
,
Valerie Laucks
1
,
Stacey Duey
1
,
Ryan J Sullivan
6
,
Genevieve M Boland
7
,
Nicole R LeBoeuf
8
,
David Liu
9
,
Alexander Gusev
9
,
Shawn G Kwatra
10
,
Peter K Sorger
3
,
Kun-Hsing Yu
2
5
,
Yevgeniy R Semenov
1
3
Affiliations
1
Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
2
Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
3
Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
4
Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
5
School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, New Jersey.
6
Department of Oncology, Massachusetts General Hospital, Boston, Massachusetts.
7
Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
8
Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts.
9
Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts.
10
Department of Dermatology, Johns Hopkins University, Baltimore, Maryland.
PMID:
36425793
PMCID:
PMC9678753
DOI:
10.1016/j.jdin.2022.08.014
No abstract available
Grants and funding
R35 GM142879/GM/NIGMS NIH HHS/United States