Psychological Distress Prediction Based on Maladaptive Cognitive Schemas and Anxiety with Random Forest Regression Algorithm

Abstract

Psychological distress represents a complex and pervasive concern impacting individuals globally, characterized by a wide spectrum of emotional, cognitive, and physiological experiences. This multifaceted phenomenon is frequently intertwined with the presence of maladaptive cognitive schemas and heightened levels of anxiety, both recognized as contributing factors. Accurate prediction of psychological distress is of paramount significance for clinicians, researchers, and healthcare practitioners