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A Bayesian Algorithm for Detecting CDC Category A Outbreak Diseases from Emergency Department Chief Complaints
Content Type: Abstract
This paper describes a Bayesian algorithm for diagnosing the CDC Category A diseases, namely, anthrax, smallpox, tularemia, botulism and hemorrhagic fever, using emergency department chief complaints. The algorithm was evaluated on real data and on… read more… Bayesian algo- rithms, has been reported to diagnose all of the CDC Category A diseases [2]. This paper describes … for the detection of anthrax in a simu- lated outbreak due to a windborne-release of anthrax spores. The false … In future work, we plan to evaluate its ability to de- tect the other CDC Category A diseases. We also plan …