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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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| Pubblicato in: | J Am Med Inform Assoc |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647246/ https://ncbi.nlm.nih.gov/pubmed/31651956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz173 |
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