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

Non-randomized Protocols and Methods (ehealth) (696) Mobile Health (mhealth) (3557) Mobile Health in Psychiatry (545) Digital Biomarkers and Digital Phenotyping (301) Mental Health Surveillance and Epidemiology (99) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (734)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79826, first published .
Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study

Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study

Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study

Authors of this article:

Nadia Alam1 Author Orcid Image ;   Chayon Kumar Das2 Author Orcid Image ;   Neelabja Roy3 Author Orcid Image ;   Domenico Giacco2, 4 Author Orcid Image ;   Swaran P Singh1, 4 Author Orcid Image ;   Sagar Jilka1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Nadia Alam   1 , MSc ;   Chayon Kumar Das   2 , MPhil ;   Neelabja Roy   3 , MS ;   Domenico Giacco   2, 4 , MBBS, PhD ;   Swaran P Singh   1, 4 , MBBS, MD ;   Sagar Jilka   1 , PhD

1 Warwick Medical School, University of Warwick, Coventry, United Kingdom

2 Department of Clinical Psychology, University of Dhaka, Dhaka, Bangladesh

3 Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India

4 Coventry and Warwickshire Partnership NHS Trust, Coventry, United Kingdom

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