DocumentCode :
3191776
Title :
Soft computing and infectious disease modeling: A review and prescription
Author :
Pizzi, Nick J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
fYear :
2012
fDate :
6-8 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Infectious disease modeling is a multi-disciplinary research activity that has made significant inroads over the last decade with respect to its acceptance as a valuable and practical tool for public health experts and decision makers. With the ability to deal with imprecise, approximate, and vague scenarios, soft computing can play an important role in expanding the use of these models. We present a review of soft computing techniques that have been used in infectious disease modeling as well as a prescription of future challenges and issues this discipline must address to be fully accepted by the public health community.
Keywords :
diseases; fuzzy set theory; health care; medical computing; multi-agent systems; agent-based model; fuzzy set; infectious disease modeling; multidisciplinary research activity; public health expert; soft computing; Computational modeling; Differential equations; Diseases; Mathematical model; Public healthcare; Sociology; Statistics; agent-based models; dynamical systems; epidemiology; fuzzy sets; infectious disease modeling; public health; soft computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
ISSN :
pending
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/NAFIPS.2012.6290988
Filename :
6290988
Link To Document :
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