Using machine learning to predict the likelihood of depression relapse

Some people have recurring episodes of depression and others do not. This project will investigate if machine learning (computer algorithms to identify patterns in data) can be used to determine the likelihood that a patient will experience a relapse/recurrence of depression within a given time frame following remission.