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

Reviews in Digital Mental Health (261) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1782) Depression and Mood Disorders; Suicide Prevention (1506) Machine Learning (1709) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1778) Web-based and Mobile Health Interventions (3609) Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (61)

Published on in Vol 11 (2024)

This is a member publication of Ulster University (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55747, first published .
Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Authors of this article:

Colm Sweeney1 Author Orcid Image ;   Edel Ennis1 Author Orcid Image ;   Maurice D Mulvenna2 Author Orcid Image ;   Raymond Bond2 Author Orcid Image ;   Siobhan O'Neill1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Burr S, Yu M, Clark D, Alonzo D, Gearing R. Digital Interventions for Suicide Prevention. Crisis 2025 View

Books/Policy Documents

  1. Alqaidoom M, Ateeq A, Aljazrawi Z. Sustainable Data Management. View