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Conditional Outlier Detection for Clinical Alerting

We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management actions using past patient cases stored in an electronic health record (EHR) system. Our hypothesis is that patient-management actions that are unusual with respect to past patients may be due to a po...

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Main Authors: Hauskrecht, Milos, Valko, Michal, Batal, Iyad, Clermont, Gilles, Visweswaran, Shyam, Cooper, Gregory F.
格式: Artigo
語言:Inglês
出版: American Medical Informatics Association 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3041310/
https://ncbi.nlm.nih.gov/pubmed/21346986
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