Machine learning analysis of clinical, psychological and sociodemographic factors predicting mental well-being in patients with severe mental illness: Insights from the French REHABase cohort

Using advanced machine learning methodology on a large sample of patients with transdiagnostic exploration, our results showed both the crucial role of resilience and resistance to stigma in overall mental well-being and the critical importance of social contact in schizophrenia. These insights should help improve care trajectories for individuals with severe psychopathologies, particularly by promoting social cognitive remediation in schizophrenia.