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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… By applying the moving average algorithm to a set of training data, various thresholds can be tested that yield …