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

Letters to the Editor (10) Machine Learning (2212) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2242) Bipolar Disorders (78) Decision Support for Health Professionals (1624) Wearable Devices and Sensors (1200) mHealth for Data Collection and Research (1245) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1800) Depression and Mood Disorders; Suicide Prevention (1749) Computer-Aided Diagnosis (277)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92172, first published .
Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder

Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder

Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder

Authors of this article:

P Keerthana Nair1 Author Orcid Image ;   Priyanka Renita D'Souza1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

P Keerthana Nair   1 * , MBBS ;   Priyanka Renita D'Souza   1 * , MBBS, MD

1 Department of Psychiatry, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India

*all authors contributed equally

Corresponding Author:

  • Priyanka Renita D'Souza, MBBS, MD
  • Department of Psychiatry
  • Kasturba Medical College Mangalore, Manipal Academy of Higher Education
  • Manipal
  • India
  • Email: dsouza.priyanka@manipal.edu