Predicting internalizing symptoms with machine learning: identifying individuals that need care
Description
Objective The current project aims to identify individuals in urgent need of mental health care, using a machine learning algorithm (random forest). Comparison/contrast with conventional regression analyses is discussed. Participants: A total of 2
