Interprofessionele zorg in de GGZ

Prognostic predictions in psychosis: exploring the complementary role of machine learning models

Background Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of individual trajectories. While machine learning (ML) shows promise in outcome prediction, it has not yet been integrated into clinical practice. Understanding how ML models...

Prognostic predictions in psychosis: exploring the complementary role of machine learning models

Assessing personal recovery in individuals with severe mental illness

Abstract Purpose Recovery is a key objective in mental health services for people with severe mental illness (SMI). In addition to clinical and functional recovery, personal recovery has gained increasing attention. The CHIME Framework identifies five personal recovery...

Assessing personal recovery in individuals with severe mental illness