Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach

Abstract

The current study showed moderate performance in predicting recovery from anxiety disorders over a 2-year follow-up for individual patients and indicates that anxiety features are most indicative for anxiety improvement and depression features for improvement in general.