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  • Application 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.
    … epidemiologists and health departments. However, nearly all clustering algorithms currently used for this … . Communications in Statistics: Theory and Methods, 26(6): 1481-1496, 1997. [2]Lorenz, EN Atmospheric … by naturally occurring analogues. J. Atmosphere Sci 26 (1969). [3]Viboud et al Prediction of the spread of …
  • 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
    … con- sists of: 1) Learning the model of normalcy; 2) De- tecting anomalies based on their dissimilarity from …