Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time.

Simpler ML methods may outperform more complex methods until passive-sensing features become better specified. For intensive longitudinal studies, there may be limited predictive value in collecting data for more than 2 months.