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

Innovations in Mental Health Systems (477) Applications of AI (274) Machine Learning (2040) Depression and Mood Disorders; Suicide Prevention (1663) Diagnostic Tools in Mental Health (321) Wearable Devices and Sensors (1118) Artificial Intelligence (2075)

Published on in Vol 12 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72038, first published .
Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework

Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework

Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework

Authors of this article:

Iftikhar Ahmed1 Author Orcid Image ;   Anushree Brahmacharimayum1 Author Orcid Image ;   Raja Hashim Ali1 Author Orcid Image ;   Talha Ali Khan1 Author Orcid Image ;   Muhammad Ovais Ahmad2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Iftikhar Ahmed   1 , PhD ;   Anushree Brahmacharimayum   1 , MA ;   Raja Hashim Ali   1 , PhD ;   Talha Ali Khan   1 , PhD ;   Muhammad Ovais Ahmad   2 , PhD

1 Department of Software Engineering, University of Europe for Applied Sciences, Germany, Potsdam, Germany

2 Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden

Corresponding Author:

  • Muhammad Ovais Ahmad, PhD
  • Department of Mathematics and Computer Science
  • Karlstad University
  • Universitetsgatan 2
  • Karlstad 65188
  • Sweden
  • Phone: 46 76-113 22 49
  • Email: ovais.ahmad@kau.se