Imputation and characterization of uncoded self-harm in major mental illness using machine learning

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 database (2003-2016) was used to analyze visit-l...

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Detalles Bibliográficos
Autores principales: Kumar, Praveen, Nestsiarovich, Anastasiya, Nelson, Stuart J, Kerner, Berit, Perkins, Douglas J, Lambert, Christophe G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647246/
https://www.ncbi.nlm.nih.gov/pubmed/31651956
http://dx.doi.org/10.1093/jamia/ocz173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647246/
https://www.ncbi.nlm.nih.gov/pubmed/31651956
http://dx.doi.org/10.1093/jamia/ocz173

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