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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 …