Literature DB >> 29042152

Crowdsourcing dermatology: DataDerm, big data analytics, and machine learning technology.

Andrew J Park1, Justin M Ko2, Robert A Swerlick3.   

Abstract

Keywords:  DataDerm; big data; data analytics; machine learning technology; performance improvement

Mesh：

Year:  2017        PMID： 29042152     DOI： 10.1016/j.jaad.2017.08.053

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN： 0190-9622            Impact factor:   11.527


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  3 in total

Review 1.  Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes.

Authors:  Shannon Wongvibulsin; Tracy M Frech; Mary-Margaret Chren; Eric R Tkaczyk
Journal:  JID Innov       Date:  2022-02-01

Review 2.  COVID-19 and artificial intelligence: Experts and dermatologists perspective.

Authors:  Yaser Goldust; Farah Sameem; Samia Mearaj; Atula Gupta; Anant Patil; Mohamad Goldust
Journal:  J Cosmet Dermatol       Date:  2022-08-17       Impact factor: 2.189

Review 3.  Artificial Intelligence Applications in Dermatology: Where Do We Stand?

Authors:  Arieh Gomolin; Elena Netchiporouk; Robert Gniadecki; Ivan V Litvinov
Journal:  Front Med (Lausanne)       Date:  2020-03-31
  3 in total

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