Our new study named “Prediction of psychosis: model development and internal validation of a personalized risk calculator” has been accepted to the Psychological Medicine (IF=5.7).
This study aimed to develop and internally validate a model for predicting the incidence of psychosis in CHR individuals to provide useful assistance in clinical practice. We developed a model that includes social functioning, social cognition, functional decline, verbal memory, and IQ; this model demonstrated fair predictive ability. Using this model, we divided the high-risk groups into three clusters, all of which showed significant differences in the incidence of psychosis. To the best of our knowledge, this is the first study using modern machine learning techniques to model a wide range of variables covering demographic, clinical, and cognitive functions in long-term cohorts spanning more than ten years.