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

Mobile Health (mhealth) (3182) Depression and Mood Disorders; Suicide Prevention (1532) Intentional Self-Harm (113) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1836) mHealth for Wellness, Behavior Change and Prevention (3119) Decision Support for Health Professionals (1359)

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 (8) Tweetations (3) Metrics

Journals

  1. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  2. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  3. Büscher R, Winkler T, Mocellin J, Homan S, Josifovski N, Ciharova M, van Breda W, Kwon S, Larsen M, Torous J, Firth J, Sander L. A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors. npj Mental Health Research 2024;3(1) View
  4. Ali S, Saleem T, Arafat S. Risk Factors for Suicide in Pakistan: A Mixed Methods Study of Psychological Autopsies and Perspectives of Health Professionals. Archives of Suicide Research 2024:1 View
  5. Milasan L, Scott‐Purdy D. The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review. International Journal of Mental Health Nursing 2025;34(1) View
  6. Auerbach R, Bloom P, Pagliaccio D, Lan R, Galfalvy H, Bitran A, Durham K, Crowley R, Joyce K, Blanchard A, Chernick L, Dayan P, Greenblatt J, Kahn L, Porta G, Tse T, Cohn J, Morency L, Brent D, Allen N. Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors. JAMA Network Open 2025;8(1):e2456429 View
  7. Cruz-Gonzalez P, He A, Lam E, Ng I, Li M, Hou R, Chan J, Sahni Y, Vinas Guasch N, Miller T, Lau B, Sánchez Vidaña D. Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications. Psychological Medicine 2025;55 View

Books/Policy Documents

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