Measurement of neuropsychiatric symptoms in the older adults with mild cognitive impairment based on speech and facial expressions: a cross-sectional observational study.

Depression, anxiety, and apathy were characterized by distinct speech and facial features. The machine learning model developed in this study demonstrated good classification in detecting depression, anxiety, and apathy. A combination of audio and video may provide objective methods for the precise classification of these symptoms.