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Outlier Detection for Patient Monitoring and Alerting
We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management decisions using past patient cases stored in electronic health records (EHRs). Our hypothesis is that a patient-management decision that is unusual with respect to past patient care may be due to an e...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3567774/ https://ncbi.nlm.nih.gov/pubmed/22944172 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2012.08.004 |
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