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2005
IEEE

Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance

9 years 29 days ago
Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the population has already been jeopardized. The goal of syndromic surveillance is to detect early anomalies that emerge from patient data in a given population area and to note disease patterns before more individuals begin to experience definitive symptoms. We developed a syndromic surveillance approach for generating advance warnings of potential wide-spread diseases as well as identifying demographic attributes that are predictive of the diseases. We describe the Causal Reasoning Engine (CRE), a multipurpose decision support system for diagnosing causes from observed symptoms and predictors. The CRE uses Bayesian inference and machine learning methods and deploys an intuitive explanation-based framework for causal modeling. We also present a diagnostic decision support tool based on the CRE that allows emergency ...
Benjamin B. Perry, Tim Van Allen
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where HICSS
Authors Benjamin B. Perry, Tim Van Allen
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