Displaying results 1 - 2 of 2
-
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. -
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