Published on in Vol 28 (2026)
This is a member publication of Imperial College London (Jisc)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/72501, first published
.
Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
Journals
- Jacobucci R, Shao W, Kobrinsky V, Ammerman B. Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study. JMIR Mental Health 2026;13:e90581 View
- Emanuele E, Minoretti P. Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI. EPMA Journal 2026 View
Conference Proceedings
- Zeng Z, Zhang Y, Zhu F. Proceedings of the 2025 International Conference on Artificial Intelligence, Virtual Reality and Interaction Design. Research and Development of a Youth Psychological Counseling System Based on Large Models and Anime Representation View
- Ponnuchamy K, Bharathi S, Nadeem S, P S, Shahid S, Bala N. 2025 International Conference on Sustainable Communication Networks and Application (ICSCN). New Parent App : A Mobile based Baby Growth and Milestone Tracker with Chatbot Support View