Machine‐Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data

Background Children with attention‐deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at‐risk youth would help allocate scarce resources for prevention programs. Methods Psychiatric and somatic diagnoses, family history of these disorders, measures of socioeconomic distress, and information about birth complications were obtained from the national registers in Sweden for 19,787...