• DocumentCode
    2488384
  • Title

    Utilize a novel approach to find the relative pattern of patients of a disease

  • Author

    Xu, Xu ; Lin, Jie ; Wang, Feng ; Jiao, Yixia

  • Author_Institution
    Sch. of Econ. & Manage., Tongji Univ., Shanghai
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    4206
  • Lastpage
    4208
  • Abstract
    Nowadays, many studies of the discovery of the relative pattern of a disease, but some of them do not consider the data privacy of patients completely, and others are not very effective to find the pattern. In this paper, we propose a novel approach to deal with the above problems. We employ intuitionistic fuzzy set, alpha-cuts, and Apriori algorithm to discovery the relative pattern of a disease under an anonymous way. The approach is expatiated by an example. And it has been applied in our cooperative hospital. The yielded pattern of a disease are meaningful. So the approach is provable and valuable.
  • Keywords
    data privacy; diseases; fuzzy set theory; medical computing; pattern recognition; Apriori algorithm; alpha-cuts; data privacy; disease; intuitionistic fuzzy set; patient data privacy; relative pattern discovery; Automation; Data privacy; Diseases; Educational institutions; Equations; Fuzzy control; Fuzzy set theory; Fuzzy sets; Hospitals; Intelligent control; α-cuts; Apriori algorithm; Disease; Intuitionistic fuzzy set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593598
  • Filename
    4593598