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

Methods and Feasibility Studies (494) Depression and Mood Disorders; Suicide Prevention (1736) Machine Learning (2188) Infoveillance and Social Listening (320) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1946) Peer-to-Peer Support and Online Communities (826)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55511, first published .
Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study

Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study

Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study

Authors of this article:

Manoshi Das Turjo1 Author Orcid Image ;   Khushboo Suchit Mundada2 Author Orcid Image ;   Nuzhat Jabeen Haque1 Author Orcid Image ;   Nova Ahmed1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Lei C, Chen Z, Ma C, Xie L, Wu D, Chen J, Chen J. Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods. Chinese Medicine 2026;21(1) View