Imputation and characterization of uncoded self-harm in major mental illness using machine learning.
Journal:
Journal of the American Medical Informatics Association : JAMIA
PMID:
31651956
Abstract
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.