Imputation and characterization of uncoded self-harm in major mental illness using machine learning
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DOI: 10.1093/jamia/ocz173
Abstract: 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. Materials and Methods The IBM MarketScan… read more here.
Keywords: major mental; uncoded self; self harm; harm ... See more keywords