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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 moreApplication of Nonlinear Data Analysis Methods to Locating Disease Clusters
Content Type: Abstract
Objective Cluster detection with a mechanism for reducing false alarms and increasing sensitivity.