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Displaying results 1 - 2 of 2
  • Minimizing False Alarms in Syndromic Surveillance

    Content Type: Abstract

    This paper describes a method of avoiding false alerts in automated syndromic surveillance algorithms which monitor the temporal relationship between a particular monitored syndrome (the ìtargetî) in relationship to other reference healthcare data… read more
    … syndrome might be. Given two data streams {x(t)} and {y(t)}, their mutual information I(X;Y) provides a general measure for their mutual dependency, … model networks of Reis, Kohane, and Mandl [2], and may be used to decide which target/context ratios will add …
  • Recursive Least Squares Prediction of Syndromic Data for Surveillance

    Content Type: Abstract

    This paper describes a method to predict syndromic data for surveillance of public health using the method of recursive least squares and a new method of correcting for the day of week effect in order to have a prediction of… read more
    … prediction results are practically worthless. My approach to this issue is a two-step method. Assume the … be represented by two Gaus- sian random variables X and Y , with associated distribution functions ( )Xf x and ( )Yf y . A first set of corrections are made by considering a …