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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2071) Depression and Mood Disorders; Suicide Prevention (1662) Infodemiology and Infoveillance (1553) Outbreak and Pandemic Preparedness and Management (1819) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1901) Natural Language Processing (898) Machine Learning (2039) Artificial Intelligence (2071)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65434, first published .
Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study

Authors of this article:

Salah Bouktif1 Author Orcid Image ;   Akib Mohi Ud Din Khanday1 Author Orcid Image ;   Ali Ouni2 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Salah Bouktif   1 * , PhD ;   Akib Mohi Ud Din Khanday   1 * , PhD, PDF ;   Ali Ouni   2 , PhD

1 Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates

2 Department of Software Engineering and Information Technology, École de Technologie Supérieure, Montreal, QC, Canada

*these authors contributed equally

Corresponding Author:

  • Salah Bouktif, PhD
  • Department of Computer Science and Software Engineering
  • College of Information Technology
  • United Arab Emirates University
  • Sheikh Khalifa Bin Zayed, Asharij
  • Al Ain, Abu Dhabi 1551
  • United Arab Emirates
  • Phone: 971 507605406
  • Email: salahb@uaeu.ac.ae