Digital Phenotyping in Bipolar Disorder: Using Longitudinal Fitbit Data and Personalized Machine Learning to Predict Mood Symptomatology
Publication information:
Lipschitz, J.M., S. Lin, S. Saghafian, C.K. Pike, and K.E. Burdick. 2025. “Digital Phenotyping in Bipolar Disorder: Using Longitudinal Fitbit Data and Personalized Machine Learning to Predict Mood Symptomatology”. Acta Psychiatrica Scandinavica 151 (3): 434-47.