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

Formative Evaluation of Digital Health Interventions (2795) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (631) mHealth for Data Collection and Research (1077) Depression and Mood Disorders; Suicide Prevention (1509) Artificial Intelligence (1698) Diagnostic Tools in Mental Health (279) Machine Learning (1714)

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
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JMIR Formative Res: A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach https://t.co/bfkBShbk3D https://t.co/KB61MZHi7g

12:53 PM · Aug 10, 2023

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RT @jmirpub: JMIR Formative Res: A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based App…

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Full article: https://t.co/0HdwhIaC6G

3:48 PM · Aug 15, 2023

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