• Corpus ID: 36079408

Automated in fl uenza case detection for public health surveillance and clinical diagnosis using dynamic in fl uenza prevalence method

@inproceedings{Tsui2017AutomatedIF,
  title={Automated in fl uenza case detection for public health surveillance and clinical diagnosis using dynamic in fl uenza prevalence method},
  author={Fuchiang R Tsui and Ye Ye and Victor M. Ruiz and Gregory F. Cooper and Michael M. Wagner},
  year={2017}
}
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 the potential for disease surveillance, we calculated area under the receiver operating characteristic curve (AUC) to indicate BCD’s ability to differentiate between influenza and non-influenza… 

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