Improving the Accuracy of Personalized Machine Learning to Monitor Depression

This project will create a novel method to assess depressive symptoms for individuals by using machine learning analytics applied to objective data from phone sensors and wrist-band sensors. This machine learning work thus has the potential to significantly impact treatment of the foremost cause of disability.