Development and validation of a machine learning–based risk prediction model for non-suicidal self-injury in adolescents (opens in new tab)

BackgroundNon-suicidal self-injury (NSSI) among adolescents has long been an important social issue. This study aims to construct a predictive model for NSSI based on machine learning models.MethodsA retrospective cohort study design was adopted, including 588 adolescent patients who received psychological and psychiatric assessments. The occurrence of NSSI behavior was used as the outcome variable. Candidate predictors including demographic characteristics, psychological and emotional status...