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

Articles (3) Anxiety and Stress Disorders (1053) Machine Learning (1465) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Student/Learners Perceptions and Experiences with Educational Technology (73) Depression and Mood Disorders; Suicide Prevention (1363) Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (52) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50982, first published .
Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model

Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model

Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model

Authors of this article:

Christo El Morr1 Author Orcid Image ;   Farideh Tavangar2 Author Orcid Image ;   Farah Ahmad1 Author Orcid Image ;   Paul Ritvo3 Author Orcid Image ;   MVC Team4
Article Authors Cited by Tweetations (3) Metrics

Christo El Morr   1 , PhD ;   Farideh Tavangar   2 , MSc ;   Farah Ahmad   1 , PhD ;   Paul Ritvo   3 , PhD ;   MVC Team   4

1 School of Health Policy and Management, York University, Toronto, ON, Canada

2 Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada

3 Kinesiology & Health Science, York University, Toronto, ON, Canada

4 see Acknowledgments, Toronto, ON, Canada

Corresponding Author: