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Comparison of Aberration Detection Algorithms for Syndromic Surveillance
Content Type: Abstract
This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more… weightings. The neural network used in this testing is a back- propagation trained feed-forward perceptron network. … [1] Hutwagner L, Browne T, Seeman GM, Fleischauer AT. Com- paring aberration detection methods with simulated …