Enhancing Biosurveillance Specificity Using PraedicoTM, A Next Generation Application


Many methods to detect outbreaks currently exist, although most are ineffective in the face of real data, resulting in high false positivity. More complicated methods have better precision, but can be difficult to interpret and justify. Praedico™ is a next generation biosurveillance application built on top of a Hadoop High Performance Cluster that incorporates multiple syndromic surveillance methods of alerting, and a machine-learning (ML) model using a decision tree classifier  evaluating over 100 different signals simultaneously, within a user friendly interface.


To compare syndromic surveillance alerting in VA using Praedico™ and ESSENCE.

Original Publication Year: 
Event/Publication Date: 
December, 2015

August 29, 2017

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NSSP Community of Practice

Email: syndromic@cste.org


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