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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

Abstract Background Bipolar disorder (BP) affects 1% to 3% of adults worldwide, with diagnostic delays averaging 6 years and high initial misdiagnosis rates. The absence of objective diagnostic measures contributes to clinical uncertainty and suboptimal outcomes. Objective This study aimed to (1) develop a machine lear...

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

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