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Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review
Author(s) -
Kimberley Yu,
Muddassir Syed,
Elena Bernardis,
Joel M. Gelfand
Publication year - 2020
Publication title -
journal of psoriasis and psoriatic arthritis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.473
H-Index - 3
eISSN - 2475-5311
pISSN - 2475-5303
DOI - 10.1177/2475530320950267
Subject(s) - psoriasis , computer science , identification (biology) , medline , segmentation , artificial intelligence , medicine , machine learning , systematic review , skin lesion , medical physics , dermatology , botany , political science , law , biology
Machine learning (ML), a subset of artificial intelligence (AI) that aims to teach machines to automatically learn tasks by inferring patterns from data, holds significant promise to aid psoriasis care. Applications include evaluation of skin images for screening and diagnosis as well as clinical management including treatment and complication prediction.

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