Automated influenza case detection for public health surveillance and clinical diagnosis using dynamic influenza prevalence method

OBJECTIVES: To assess the performance of a Bayesian case detector (BCD) for influenza surveillance and clinical diagnosis. METHODS: BCD uses a Bayesian network classifier to compute the posterior probability of a patient having influenza based on 31 findings from narrative clinical notes. To assess...

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Vydáno v:J Public Health (Oxf)
Hlavní autoři: Tsui, Fuchiang, Ye, Ye, Ruiz, Victor, Cooper, Gregory F, Wagner, Michael M
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2018
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6676953/
https://ncbi.nlm.nih.gov/pubmed/29059331
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/pubmed/fdx141
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