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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Natural Language Processing (692) Psychotic Disorders (160) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Machine Learning (1465)

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 (108) Tweetations (25) Metrics

Journals

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Books/Policy Documents

  1. Dutta S, De Choudhury M. HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media. View
  2. Rosenfeld A, Benrimoh D, Armstrong C, Mirchi N, Langlois-Therrien T, Rollins C, Tanguay-Sela M, Mehltretter J, Fratila R, Israel S, Snook E, Perlman K, Kleinerman A, Saab B, Thoburn M, Gabbay C, Yaniv-Rosenfeld A. Applications of Big Data in Healthcare. View
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  8. Ghosh D, Karande H, Gite S. Advances in Information Communication Technology and Computing. View