Machine Learning Classification of Bipolar Disorder Across Mood States Using Natural Language Processing and Speech Analysis: Observational Study.
Journal of medical Internet research · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
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HumansBipolar DisorderMachine LearningFemaleNatural Language ProcessingAdultMaleAffectSpeechMiddle AgedCross-Sectional Studiesmood statesLASSOacoustic biomarkersbipolar disorderdigital healthleast absolute shrinkage and selection operatormachine learningmel-frequency cepstral coefficientsnatural language processingpermutation testingspeech analysis
Come citare questo studio
Yusei Yamaguchi, Yoshinobu Kano, Genichi Sugihara, Ryo Takemura, Hironobu Nakamura, Masaaki Shimizu, Mari Iizuka, Momoko Kitazawa, Ayako Sento, Hidehiko Takahashi, Taishiro Kishimoto. (2026). Machine Learning Classification of Bipolar Disorder Across Mood States Using Natural Language Processing and Speech Analysis: Observational Study.. Journal of medical Internet research. DOI: 10.2196/98094
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