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A Bayesian Network Model for Analysis of Detection Performance in Surveillance Systems

Worldwide developments concerning infectious diseases and bioterrorism are driving forces for improving aberrancy detection in public health surveillance. The performance of an aberrancy detection algorithm can be measured in terms of sensitivity, specificity and timeliness. However, these metrics a...

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Main Authors: Izadi, Masoumeh, Buckeridge, David, Okhmatovskaia, Anna, Tu, Samson W., O‘Connor, Martin J., Nyulas, Csongor, Musen, Mark A.
格式: Artigo
語言:Inglês
出版: American Medical Informatics Association 2009
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2815401/
https://ncbi.nlm.nih.gov/pubmed/20351864
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