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.
· Journal of Medical Internet... · 0 citations