Individualized Prediction of Prodromal Symptom Remission for Youth at Clinical High Risk for Psychosis.

ABSTRACT: The clinical high-risk period before a first episode of psychosis (CHR-P) has been widely studied with the goal of understanding the development of psychosis; however, less attention has been paid to the 75%-80% of CHR-P individuals who do not transition to psychosis. It is an open question whether multivariable models could be developed to predict remission outcomes at the same level of performance and generalizability as those that predict conversion to psychosis. Participants were drawn from the North American Prodrome Longitudinal Study (NAPLS3). An empirically derived set of clinical and demographic predictor variables were selected with elastic net regularization and were included in a gradient boosting machine algorithm to predict prodromal symptom remission. The predictive model wa

SUBMITTER: Worthington MA 

PROVIDER: S-EPMC8886593 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature