Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

Journal: JAMA oncology
PMID: 29494731

Abstract

This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.

Authors

  • Julia D Ransohoff
    Stanford School of Medicine, Department of Dermatology, Stanford, California.
  • Azadeh Nikfarjam
    Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA anikfarj@asu.edu graciela.gonzalez@asu.edu.
  • Erik Jones
    Inspire, Arlington, Virginia.
  • Brian Loew
    Inspire, Arlington, Virginia.
  • Bernice Y Kwong
    Stanford School of Medicine, Department of Dermatology, Stanford, California.
  • Kavita Y Sarin
    Stanford School of Medicine, Department of Dermatology, Stanford, California.
  • Nigam H Shah
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.

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