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Understanding Detection Performance in Public Health Surveillance: Modeling Aberrancy-detection Algorithms
OBJECTIVE: Statistical aberrancy-detection algorithms play a central role in automated public health systems, analyzing large volumes of clinical and administrative data in real-time with the goal of detecting disease outbreaks rapidly and accurately. Not all algorithms perform equally well in terms...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Medical Informatics Association
2008
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2585528/ https://ncbi.nlm.nih.gov/pubmed/18755992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M2799 |
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