Article
Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data.
Journal of medical Internet research - 4 Feb 2026
Kadirvelu Balasundaram, Bellido Bel Teresa, Freccero Aglaia, Di Simplico Martina, Nicholls Dasha, Faisal A Aldo
Abstract excerpt
Background: Adolescents are particularly vulnerable to mental disorders, with over 75% of lifetime cases emerging before the age of 25 years. Yet most young people with significant symptoms do not seek support. Digital phenotyping, leveraging active (self-reported) and passive (sensor-based) data...
Topics
- Humans
- Adolescent
- Feasibility Studies
- Smartphone
- Female
- Machine Learning
- Male
- Mental Health
- Mental Disorders
- Digital Health
- Phenotype
- Predictive Learning Models