A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases
Author(s) -
John M. Aronis,
Nicholas Millett,
Michael M. Wagner,
Fuchiang Tsui,
Ye Ye,
Gregory F. Cooper
Publication year - 2016
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v8i1.6405
Subject(s) - outbreak , computer science , metric (unit) , data mining , bayesian probability , artificial intelligence , medicine , virology , engineering , operations management
We have developed an automated system that reads emergency department clinical reports and constructs models of multiple, possibly overlapping outbreaks. The system relies on a Bayesian scoring metric and search algorithms to find appropriate models. The system has been tested on simulated and actual data with good results.
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