Measuring Anxiety

The goal of this study is to use machine learning algorithms to measure, predict and design interventions for stress and anxiety. While the ability to detect, access and intervene with such disorders is crucial for the wellbeing of the general population, traditional self-assessments for mental health have certain limitations due to their subject nature. This project is inspired by the emerging trend in using data-driven approaches in the field, as well as the recent studies in the physiological correlates between anxiety, stress and different biomarkers.