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

Methods and New Tools in Mental Health Research (424) e-Mental Health and Cyberpsychology (1388) Machine Learning (1373) Focus Groups and Qualitative Research for Human Factors Research (764) Depression and Mood Disorders; Suicide Prevention (1273) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) New Methods (902) Anxiety and Stress Disorders (1002) Clinical Informatics (904) Clinical Information and Decision Making (1315)

Published on in Vol 8, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25455, first published .
Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Authors of this article:

Dong Whi Yoo1 Author Orcid Image ;   Sindhu Kiranmai Ernala1 Author Orcid Image ;   Bahador Saket1 Author Orcid Image ;   Domino Weir1 Author Orcid Image ;   Elizabeth Arenare2 Author Orcid Image ;   Asra F Ali2 Author Orcid Image ;   Anna R Van Meter2, 3, 4 Author Orcid Image ;   Michael L Birnbaum2, 3, 4 Author Orcid Image ;   Gregory D Abowd1, 5 Author Orcid Image ;   Munmun De Choudhury1 Author Orcid Image
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