Title :
Soft computing and infectious disease modeling: A review and prescription
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
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;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
DOI :
10.1109/NAFIPS.2012.6290988