A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals.

Journal: Journal of medical Internet research
Published Date: Aug 14, 2017

Abstract

BACKGROUND: Linguistic analysis of publicly available Twitter feeds have achieved success in differentiating individuals who self-disclose online as having schizophrenia from healthy controls. To date, limited efforts have included expert input to evaluate the authenticity of diagnostic self-disclosures.

Authors

  • Michael L Birnbaum
    The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.
  • Sindhu Kiranmai Ernala
    Georgia Institute of Technology, Atlanta, GA, United States.
  • Asra F Rizvi
    The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.
  • Munmun DE Choudhury
    Georgia Institute of Technology, USA.
  • John M Kane
    The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.

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