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

Formative Evaluation of Digital Health Interventions (2407) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (563) mHealth for Data Collection and Research (954) Depression and Mood Disorders; Suicide Prevention (1360) Artificial Intelligence (1363) Diagnostic Tools in Mental Health (242) Machine Learning (1459)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28848, first published .
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach

Authors of this article:

Md Sabbir Ahmed1 Author Orcid Image ;   Nova Ahmed1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Md Sabbir Ahmed   1 , BSc ;   Nova Ahmed   1 , PhD

1 Design Inclusion and Access Lab, North South University, Dhaka, Bangladesh

Corresponding Author:

  • Md Sabbir Ahmed, BSc
  • Design Inclusion and Access Lab
  • North South University
  • Plot #15, Block #B, Bashundhara
  • Dhaka, 1229
  • Bangladesh
  • Phone: 880 1781920068
  • Email: msg2sabbir@gmail.com