This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1278) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Natural Language Processing (650) Psychotic Disorders (157) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Machine Learning (1400)

Published on in Vol 19, No 8 (2017): August

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

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

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

Authors of this article:

Michael L Birnbaum1, 2, 3 Author Orcid Image ;   Sindhu Kiranmai Ernala4 Author Orcid Image ;   Asra F Rizvi1, 2 Author Orcid Image ;   Munmun De Choudhury4 Author Orcid Image ;   John M Kane1, 2, 3 Author Orcid Image
Article Authors Cited by (101) Tweetations (25) Metrics

Michael L Birnbaum   1, 2, 3 * , MD ;   Sindhu Kiranmai Ernala   4 * , MS ;   Asra F Rizvi   1, 2 * , MA ;   Munmun De Choudhury   4 * , PhD ;   John M Kane   1, 2, 3 * , MD

1 The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States

2 Feinstein Institute of Medical Research, Manhasset, NY, United States

3 Hofstra Northwell School of Medicine, Hempstead, NY, United States

4 Georgia Institute of Technology, Atlanta, GA, United States

*all authors contributed equally

Corresponding Author:

  • Michael L Birnbaum, MD
  • The Zucker Hillside Hospital
  • Northwell Health
  • 75-59
  • 263rd Street
  • Glen Oaks, NY, 11004
  • United States
  • Phone: 1 718-470-8305
  • Fax: 1 718-470-1905
  • Email: Mbirnbaum@northwell.edu