Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder.

ABSTRACT: Bipolar disorder is a leading contributor to disability, premature mortality, and suicide. Early identification of risk for bipolar disorder using generalizable predictive models trained on diverse cohorts around the United States could improve targeted assessment of high risk individuals, reduce misdiagnosis, and improve the allocation of limited mental health resources. This observational case-control study intended to develop and validate generalizable predictive models of bipolar disorder as part of the multisite, multinational PsycheMERGE Network across diverse and large biobanks with linked electronic health records (EHRs) from three academic medical centers: in the Northeast (Massachusetts General Brigham), the Mid-Atlantic (Geisinger) and the Mid-South (Vanderbilt University Medica

SUBMITTER: Walsh CG 

PROVIDER: S-EPMC10810911 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature