Using machine learning methods to identify trajectories of change and predict responders and non-responders to short-term dynamic therapy.

Objectives: Predicting therapy responders can significantly improve clinical outcomes. This study aims to identify predictors of response to short-term dynamic therapy.

Methods: Data from 95 patients who underwent 16-session therapy were analyzed using machine learning.