Displaying results 9 - 11 of 11
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Building an automated Bayesian case detection system
Content Type: Abstract
Current practices of automated case detection fall into the extremes of diagnostic accuracy and timeliness. In regards to diagnostic accuracy, electronic laboratory reporting (ELR) is at one extreme and syndromic surveillance is at… read more… Tsui et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 68 Acknowledgements The project is … Health Threats Journal F-C Tsui et al. 2011, 4:s101 www.eht-journal.org page 2/2 69 … -
Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax
Content Type: Abstract
We developed a probabilistic model of how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the clinicians only have access to traditional clinical information (e.g., no computer-based alerts). We… read more… of the National Syndromic Surveil- lance Conference [CD-ROM]. Boston, MA: Fleetwood Multimedia, Inc.; 2004. Advances … -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.… N. Dowling, MD, MS1, Debbie Travers, PhD, RN2, Gregory F. Coo- per, MD, PhD1, Wendy W. Chapman, PhD1 Department of …