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.