A multi-modal dataset for stress and alcohol relapse collected in real world settings.
We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.
Warn users of potential hyperglycemic events in advance and provide interpretation for decisions made by models to modify lifestyle.