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

Clinical Information and Decision Making (3943) Natural Language Processing (1353) Decision Support for Health Professionals (2387) Ontologies, Classifications, and Coding (477) Bipolar Disorders (131) Diagnostic Tools in Mental Health (461) Machine Learning (3373) Voice Phenotyping and Vocal Biomarkers (38)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98094, first published .
Laptop displaying sound wave visualization and neural network flow chart, connected to a microphone

Machine Learning Classification of Bipolar Disorder Across Mood States Using Natural Language Processing and Speech Analysis: Observational Study

Machine Learning Classification of Bipolar Disorder Across Mood States Using Natural Language Processing and Speech Analysis: Observational Study

Authors of this article:

Yusei Yamaguchi1 Author Orcid Image ;   Yoshinobu Kano2 Author Orcid Image ;   Genichi Sugihara1 Author Orcid Image ;   Ryo Takemura3 Author Orcid Image ;   Hironobu Nakamura1 Author Orcid Image ;   Masaaki Shimizu1 Author Orcid Image ;   Mari Iizuka4 Author Orcid Image ;   Momoko Kitazawa5 Author Orcid Image ;   Ayako Sento5 Author Orcid Image ;   Hidehiko Takahashi1, 6 Author Orcid Image ;   Taishiro Kishimoto5 Author Orcid Image
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