Context Early detection and prospective evaluation of individuals who will develop
schizophrenia or other psychotic disorders are critical to efforts to isolate mechanisms
underlying psychosis onset and to the testing of preventive interventions, but existing risk
prediction approaches have achieved only modest predictive accuracy. Objectives To
determine the risk of conversion to psychosis and to evaluate a set of prediction algorithms
maximizing positive predictive power in a clinical high-risk sample. Design, Setting, and …