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Author

Momoko Kitazawa

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Open access Nov 2026

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

The combined acoustic-linguistic model, driven primarily by acoustic features, shows potential as an objective aid for BP diagnosis and mood state classification, although overall limitations remain for monitoring mood state changes.

Yusei Yamaguchi, Yoshinobu Kano, G. Sugihara et al. · 0 citations

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