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

Machine Learning (2102) Telehealth and Telemonitoring (2107) Bipolar Disorders (74) Voice Phenotyping and Vocal Biomarkers (16) Natural Language Processing (924) Depression and Mood Disorders; Suicide Prevention (1704)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79093, first published .
Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study

Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study

Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study

Authors of this article:

Sooyeon Min1 Author Orcid Image ;   Tae-Sung Yeum2 Author Orcid Image ;   Daun Shin3 Author Orcid Image ;   Sang Jin Rhee1 Author Orcid Image ;   Hyunju Lee1 Author Orcid Image ;   Han-Sung Lee1 Author Orcid Image ;   Seongmin Park4 Author Orcid Image ;   Jihwa Lee4 Author Orcid Image ;   Yong Min Ahn1, 2 Author Orcid Image
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