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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… of Biosur- veillance (Elsevier, 2006). [2] http://www.bt.cdc.gov/agent/agentlist-category.asp [3] Cooper GF, … Further Information: Gregory Cooper, gfc@cbmi.pitt.edu, www.cbmi.pitt.edu/panda Advances in Disease Surveillance …