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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

Yusei Yamaguchi   1 , MD ;   Yoshinobu Kano   2 , PhD ;   Genichi Sugihara   1 , MD, PhD ;   Ryo Takemura   3 , PhD ;   Hironobu Nakamura   1 , MD, PhD ;   Masaaki Shimizu   1 , PhD ;   Mari Iizuka   4 , MD ;   Momoko Kitazawa   5 , PhD ;   Ayako Sento   5 ;   Hidehiko Takahashi   1, 6 , MD, PhD ;   Taishiro Kishimoto   5 , MD, PhD

1 Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Bunkyo-ku, Tokyo, Japan

2 Faculty of Informatics, Shizuoka University, Chuo-ku, Hamamatsu, Shizuoka, Japan

3 Clinical and Translational Research Center, Keio University Hospital, Shinjuku-ku, Tokyo, Japan

4 Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan

5 Center for the Promotion of Interdisciplinary Research in Medicine and Life Science, School of Medicine, Keio University, Shinjuku-ku, Tokyo, Japan

6 Center for Brain Integration Research, Institute of Science Tokyo, Tokyo, Japan

Corresponding Author:

  • Taishiro Kishimoto, MD, PhD
  • Center for the Promotion of Interdisciplinary Research in Medicine and Life Science
  • School of Medicine, Keio University
  • 35 Shinanomachi
  • Shinjuku-ku, Tokyo 160-8582
  • Japan
  • Phone: 81 3-5360-1524
  • Email: tkishimoto@keio.jp