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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
    … to the algorithm [2] that requires only positive training examples, in our case - the normal (no outbreak) … presented to the epidemiologist. INITIAL RESULTS The training was performed on ESSENCE data with disease …