Predictive Mental Health Analysis Using Digital Phenotyping

The chapter explores the journey of two entrepreneurs who developed Saha, a product that predicts mental health conditions by analyzing digital phenotypes and sentiment data collected from mobile devices. Saha aims to improve user experience in mental health apps by eliminating the need for manual input and offering predictive capabilities. The discussion focuses on the development of machine learning models, privacy considerations, and the integration of familiar sensors for user data collection.