On the role of soft computing in modelling the spread of infectious diseases

被引：0
|
作者：
Pizzi, Nick J. [1 ]
机构：
[1] Univ Manitoba, Dept Comp Sci, Winnipeg, MB R3T 2N2, Canada
来源：
PROCEEDINGS OF THE 8TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-13) | 2013年 / 32卷
关键词：
infectious disease modelling; soft computing; epidemiology; fuzzy sets; dynamical systems; agent-based models; public health; FUZZY; SYSTEMS; PREDICTION; INFLUENZA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Infectious disease modelling is an interdisciplinary activity that has become more prevalent over the last decade as a valuable and practical tool for public health experts. Soft computing, with its suite of techniques and strategies, which effectively handles imprecise, approximate, and vague scenarios, 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 modelling as well as a prescription of future challenges and issues this discipline must address to be fully accepted by the public health community.
引用
收藏
页码：369 / 375
页数：7
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