Displaying results 1 - 1 of 1
-
Learning Outbreak Regions for Bayesian Spatial Biosurveillance
Content Type: Abstract
This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more… Information: Daniel B. Neill, neill@cs.cmu.edu http://www.cs.cmu.edu/~neill Advances in Disease Surveillance 2008;5:45 mailto:neill@cs.cmu.edu http://www.cs.cmu.edu/~neill …