DocumentCode :
3164603
Title :
A public health decision support system framework using approximate reasoning methods
Author :
Pizzi, Nick J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
128
Lastpage :
133
Abstract :
We describe a comprehensive framework to evaluate infectious disease mitigation strategies. Specifically, this framework is used to design, develop, validate and rapidly deploy a decision support system that can be used by public health experts to identify effective mitigation strategies for an infectious disease outbreak. An outbreak-specific decision support system must satisfy three criteria: reliability (validity of generated results based upon initial conditions), computational efficiency, and adaptability to practical considerations and changes to fundamental knowledge. An important analysis component of this framework is its approximate reasoning methods including soft computing approaches to deal with imprecise modelling data and parameters. This analysis component aids in making the modelling assumptions explicit, improving the understanding of disease mechanisms, and providing sound and timely predictions.
Keywords :
decision support systems; diseases; epidemics; health care; inference mechanisms; medical computing; approximate reasoning method; computational efficiency; disease mechanism; effective mitigation strategy identification; imprecise modelling data; infectious disease mitigation strategy evaluation; infectious disease outbreak; modelling assumptions; outbreak-specific decision support system; public health decision support system; public health experts; soft computing approach; Decision support systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608387
Filename :
6608387
Link To Document :
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