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

Mobile Health (mhealth) (3464) Depression and Mood Disorders; Suicide Prevention (1691) Intentional Self-Harm (136) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) mHealth for Wellness, Behavior Change and Prevention (3315) Decision Support for Health Professionals (1539)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43719, first published .
One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

Authors of this article:

Maria Luisa Barrigon1, 2 Author Orcid Image ;   Lorena Romero-Medrano3, 4 Author Orcid Image ;   Pablo Moreno-Muñoz3, 5 Author Orcid Image ;   Alejandro Porras-Segovia1 Author Orcid Image ;   Jorge Lopez-Castroman3, 6, 7 Author Orcid Image ;   Philippe Courtet7, 8 Author Orcid Image ;   Antonio Artés-Rodríguez3, 4, 9, 10 Author Orcid Image ;   Enrique Baca-Garcia1, 4, 6, 9, 11, 12, 13, 14, 15 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

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  1. Irmak-Yazicioglu M, Arslan A. Recent Advances and Challenges in the Treatment of Major Depressive Disorder. View

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  1. Zim M, Hanif M. 2025 6th International Conference on Recent Advances in Information Technology (RAIT). Predictive Analytics in Mental Health: AI for Identifying Risk Factors and Preventing Crises View