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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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| Yayımlandı: | J Public Health (Oxf) |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2018
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| Konular: | |
| Online Erişim: | 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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