Correction: Toward precision psychological rehabilitation: predicting CBT efficacy in post-stroke depression using machine learning

Key Points

• Efficacy of cognitive behavioral therapy is predicted using machine learning models, enhancing recovery outcomes.
• Models demonstrated significant predictive capability, indicating potential for personalized rehabilitation interventions.
• Analysis of patient data following stroke reveals critical insights into treatment response variability.
• Implications highlight the need for further validation across diverse populations to ensure broader applicability.

Abstract