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
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Journals

  1. Ren W, Xue X, Liu L, Huang J. AI Applications in Depression Detection and Diagnosis: Bibliometric and Visual Analysis of Trends and Future Directions. JMIR Mental Health 2025;12:e79293 View