Using machine learning methods to identify trajectories of change and predict responders and non-responders to short-term dynamic therapy
R Yonatan-Leus, G Gwertzman… - Psychotherapy …, 2024 - Taylor & Francis
Objectives Predicting therapy responders can significantly improve clinical outcomes. This
study aims to identify predictors of response to short-term dynamic therapy. Methods Data …
study aims to identify predictors of response to short-term dynamic therapy. Methods Data …
Responsiveness and Clinical Judgment as an Alternative to Drifting: A Narrative Update
R Yonatan-Leus, O Tishby - Journal of Contemporary Psychotherapy, 2024 - Springer
This manuscript challenges the notion of “therapist drift”—the deviation from evidence-based
practices due to the partial application or non-adherence to treatment protocols—proposing …
practices due to the partial application or non-adherence to treatment protocols—proposing …