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

Innovations in Mental Health Systems (495) Applications of AI (300) Machine Learning (2129) Depression and Mood Disorders; Suicide Prevention (1718) Diagnostic Tools in Mental Health (329) Wearable Devices and Sensors (1164) Artificial Intelligence (2197)

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 (10) Tweetations Metrics

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
  2. Mokheleli T, Bokaba T, Mbunge E. Explainable Artificial Intelligence for Workplace Mental Health Prediction. Informatics 2025;12(4):130 View

Conference Proceedings

  1. Altun F, Darakhshan A, Chen B, Gohar A, Ali R, Rabab Syed U. 2025 20th International Conference on Emerging Technologies (ICET). Real-Time Pothole Detection Across Diverse Road Conditions Using Attention-Enhanced YOLOv12 View
  2. Carlberg D, Raza A, Ali R, Khan T, Faiz S. 2025 International Conference on Frontiers of Information Technology (FIT). Evaluating Deterministic and Stochastic Strategies for Large-Scale N-Queens Solutions View
  3. Kumar H, Faisal A, Bolbolabady S, Jamal Y, Ali R, Abbas Q. 2025 20th International Conference on Emerging Technologies (ICET). Benchmarking YOLOv8-Nano for Traffic Light Detection Under Challenging Conditions View
  4. Panjala C, Jamal Y, Faisal A, Ali R, Syed U, Abbas R. 2025 20th International Conference on Emerging Technologies (ICET). Deployable AI for Public Safety: Weapon Detection in Challenging CCTV Scenarios View
  5. Arzoo K, Darakhshan A, Altun F, Gohar A, Ali R, Syed U. 2025 20th International Conference on Emerging Technologies (ICET). Handwriting Biometrics for Parkinson’s Disease Detection Using Deep Learning View
  6. Carlberg D, Raza A, Jitendrabhai K, Hamid M, Ali R, Abbas Q. 2025 20th International Conference on Emerging Technologies (ICET). Discriminating Quark-Gluon Jet via Convolutional Neural Networks Versus Solving N-Queens Problem View
  7. Bustillo Medina Y, Gohar A, Khan T, Ali R, Faiz S. 2025 International Conference on Frontiers of Information Technology (FIT). DermaSpectraNet: An EfficientNet-B1 CNN for Precise Multiclass Skin-Disease Detection View
  8. Diego Miguel A, Faisal A, Khan T, Ali R, Faiz S. 2025 International Conference on Frontiers of Information Technology (FIT). Real-Time American Sign Language Recognition Using EfficientNetV2S: A Transfer Learning Approach with Webcam-Based Interface View