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Support Vector Machines for Syndromic Surveillance
Content Type: Abstract
Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more… The methodology and initial results obtained on ESSENCE data are presented. Document … to the algorithm [2] that requires only positive training examples, in our case - the normal (no outbreak) …