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
Balasundaram Kadirvelu
1
* , PhD ;
Teresa Bellido Bel
2
* , MD ;
Aglaia Freccero
2
, MSc ;
Martina Di Simplico
2
, PhD, MD ;
Dasha Nicholls
2
, MD ;
A Aldo Faisal
1, 3
, PhD
1
Brain & Behaviour Lab, Department of Computing and Department of Bioengineering, Imperial College London, London, United Kingdom
2
Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, England, United Kingdom
3
Chair in Digital Health & Data Science, Faculty of Life Sciences, University of Bayreuth, Bayreuth, Bavaria, Germany
*these authors contributed equally
Corresponding Author:
-
A Aldo Faisal, PhD
-
Brain & Behaviour Lab, Department of Computing and Department of Bioengineering
-
Imperial College London
-
Royal School of Mines
-
London SW72AZ
-
United Kingdom
-
Phone:
44 20 7594 6373
-
Email: a.faisal@imperial.ac.uk