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

Reviews in Digital Mental Health (247) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1670) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1569) Peer-to-Peer Support and Online Communities (654) Depression and Mood Disorders; Suicide Prevention (1393) Machine Learning (1511) Artificial Intelligence (1435) Mass Media/Social Media Communication and Campaigns (468)

Published on in Vol 9, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27244, first published .
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Authors of this article:

Danxia Liu1 Author Orcid Image ;   Xing Lin Feng2 Author Orcid Image ;   Farooq Ahmed3, 4 Author Orcid Image ;   Muhammad Shahid5 Author Orcid Image ;   Jing Guo2 Author Orcid Image
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