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Patient, physician, encounter, and billing characteristics predict the accuracy of syndromic surveillance case definitions
BACKGROUND: Syndromic surveillance systems are plagued by high false-positive rates. In chronic disease monitoring, investigators have identified several factors that predict the accuracy of case definitions based on diagnoses in administrative data, and some have even incorporated these predictors...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3378465/ https://ncbi.nlm.nih.gov/pubmed/22397597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2458-12-166 |
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