Accessibility settings

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

Machine Learning (3025) Telehealth and Telemonitoring (2973) Natural Language Processing (1221) Depression and Mood Disorders; Suicide Prevention (2384) Bipolar Disorders (125) Voice Phenotyping and Vocal Biomarkers (31)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79093, first published .
Woman crying with a sound wave graphic, symbolizing emotional distress

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
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. Juthi S, Rahman M, Muni M, Billah M, Tasnim S, Ahmed K. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN). AI-Driven Autoencoder–LightGBM Framework for Workplace Mental Health Screening View