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

Theme Issue 2024: 25 Years of Digital Health Excellence (37) Natural Language Processing (706) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369) Diagnostic Tools in Mental Health (248) Methods and New Tools in Mental Health Research (463) Artificial Intelligence (1421)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59225, first published .
AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

Authors of this article:

David Owen1 Author Orcid Image ;   Amy J Lynham2 Author Orcid Image ;   Sophie E Smart2 Author Orcid Image ;   Antonio F Pardiñas2 Author Orcid Image ;   Jose Camacho Collados1 Author Orcid Image
Article Authors Cited by Tweetations (6) Metrics Author Video

David Owen   1 , MSc ;   Amy J Lynham   2 , PhD ;   Sophie E Smart   2 , PhD ;   Antonio F Pardiñas   2 * , PhD ;   Jose Camacho Collados   1 * , PhD

1 School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

2 Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom

*these authors contributed equally

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