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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… interested in using the above method for predicting a “back- ground” from a single syndromic data channel. A major … obtained. Adaptively corrected data are used to predict “back- ground” counts. RESULTS The new integrated method is …

