Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder.
Journal:
Journal of anxiety disorders
PMID:
39904097
Abstract
BACKGROUND: Generalized Anxiety Disorder (GAD) is a chronic condition. Enabling the prediction of individual trajectories would facilitate tailored management approaches for these individuals. This study used machine learning techniques to predict the recovery of GAD at a nine-year follow-up.