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
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