This project imagines using a variety of data sources to track patients with mood disorders. Past trends in those sources correlated with identified mood patterns are used to identify upcoming episodes and deploy interventions to mitigate (notify therapist/friends/family, trigger automated app-based CBT, lock down banks accounts, etc.).
