Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55308, first published .
Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study

Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study

Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study

Yannik Terhorst   1, 2, 3 , MSc ;   Eva-Maria Messner   1 , PhD ;   Kennedy Opoku Asare   4 , PhD ;   Christian Montag   5 , Prof Dr ;   Christopher Kannen   5 , MSc ;   Harald Baumeister   1 , Prof Dr

1 Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany

2 Department of Psychology, LMU Munich, Munich, Germany

3 German Center for Mental Health (DZPG), Partner Site Munich-Augsburg, Munich, Germany

4 Center for Ubiquitous Computing, University of Oulu, Oulu, Finland

5 Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany

Corresponding Author:

  • Yannik Terhorst, MSc
  • Department of Clinical Psychology and Psychotherapy
  • Institute of Psychology and Education
  • Ulm University
  • Lise-Meitner-Str. 16
  • Ulm, 89081
  • Germany
  • Phone: 49 8921805057
  • Email: yannik.terhorst@psy.lmu.de