Editorial: Disrupting Pathways to Self-Harm in Adolescence: Machine Learning as an Opportunity

Self-harm, hurting oneself with or without suicidal intent, is associated with poor mental health. Domains of risk known to be associated with self-harm include sociodemographic factors such as female gender, negative life events, family adversity, and psychiatric diagnoses.1 However, the heterogeneous nature of self-harm makes predicting risk and prevention challenging. The behaviors can be occasional or repetitive, suicidal in nature or not....