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Machine learning for precision dermatology: Advances, opportunities, and outlook.
Lee, Ernest Y; Maloney, Nolan J; Cheng, Kyle; Bach, Daniel Q.
Affiliation
  • Lee EY; Department of Bioengineering, University of California-Los Angeles; Division of Dermatology, Department of Medicine, University of California-Los Angeles; University of California-Los Angeles-Caltech Medical Scientist Training Program, David Geffen School of Medicine at University of California-Los
  • Maloney NJ; Division of Dermatology, Department of Medicine, University of California-Los Angeles.
  • Cheng K; Division of Dermatology, Department of Medicine, University of California-Los Angeles.
  • Bach DQ; Division of Dermatology, Department of Medicine, University of California-Los Angeles.
J Am Acad Dermatol ; 84(5): 1458-1459, 2021 May.
Article in En | MEDLINE | ID: mdl-32645400
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Dermatology / Precision Medicine / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Acad Dermatol Year: 2021 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Dermatology / Precision Medicine / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Acad Dermatol Year: 2021 Document type: Article Country of publication: Estados Unidos