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
相关论文
共 50 条
  • [31] A Soft Computing Approach to Kidney Diseases Evaluation
    José Neves
    M. Rosário Martins
    João Vilhena
    João Neves
    Sabino Gomes
    António Abelha
    José Machado
    Henrique Vicente
    Journal of Medical Systems, 2015, 39
  • [32] A Comparative Study of Soft Computing Paradigms for Modelling Soil Compaction Parameters
    Tiwari, Lal Babu
    Burman, Avijit
    Samui, Pijush
    TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY, 2024, 11 (06) : 4142 - 4160
  • [33] Soft Computing Model to Predict Chronic Diseases
    Aldhyani, Theyazn H. H.
    Alshebami, Ali Saleh Ali
    Alzahrani, Mohammed Yahya
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2020, 36 (02) : 365 - 376
  • [34] Global analysis for spread of infectious diseases via transportation networks
    Nakata, Yukihiko
    Roest, Gergely
    JOURNAL OF MATHEMATICAL BIOLOGY, 2015, 70 (06) : 1411 - 1456
  • [35] Role of artificial intelligence in early diagnosis and treatment of infectious diseases
    Srivastava, Vartika
    Kumar, Ravinder
    Wani, Mohmmad Younus
    Robinson, Keven
    Ahmad, Aijaz
    INFECTIOUS DISEASES, 2025, 57 (01) : 1 - 26
  • [36] Spatial modelling of infectious diseases with covariate measurement error
    Amiri, Leila
    Torabi, Mahmoud
    Deardon, Rob
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2024, 73 (02) : 460 - 477
  • [37] Challenges of evaluating and modelling vaccination in emerging infectious diseases
    Madewell, Zachary J.
    Dean, Natalie E.
    Berlin, Jesse A.
    Coplan, Paul M.
    Davis, Kourtney J.
    Struchiner, Claudio J.
    Halloran, M. Elizabeth
    EPIDEMICS, 2021, 37
  • [38] Modelling the Epidemiology of Infectious Diseases for Decision AnalysisA Primer
    Mark Jit
    Marc Brisson
    PharmacoEconomics, 2011, 29 : 371 - 386
  • [39] The role of soft computing in intelligent machines
    De Silva, CW
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2003, 361 (1809): : 1749 - 1780
  • [40] Modelling ozone levels in an arid region - a dynamically evolving soft computing approach
    Rahman, Syed Masiur
    Khondaker, A. N.
    Khan, Rouf Ahmad
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2013, 52 (3-4) : 155 - 171
12345