"Developing machine learning models of self-reported and register-based data to predict eating disorders in adolescence"
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Early detection and prevention of eating disorders (EDs) in adolescence are crucial yet challenging. We developed and validated diagnostic and prognostic models to predict EDs using data from 44,357 Danish National Birth Cohort participants. Models were traine... ...
