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The Application of Association Rule Mining in the Diagnosis of Pancreatic Cancer

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

The method of association rule mining used in cases of diagnostic work, you can find out the relationship between the etiology level factors from a large number of cases recorded, from mining association rules in the diagnosis of pancreatic cancer database to discover the relationship pancreatic cancer and blood group age, gender, environment, diet, genetic predisposition, mood state factors, which found that the factors of pancreatic disease it may rule, diagnosis and prevention of pancreatic cancer cases are important guiding significance.

Keywords

Data mining Association rules Diagnosis of pancreatic cancer 

References

  1. 1.
    Shao F (2003) Principle of data mining algorithms Beijing: China Water Power Press, 93–95Google Scholar
  2. 2.
    Agrawal R, Imieliski T, Swami A (1993) Mining Association Rules Between Sets of Items in Large Database. In: Mproceedings of ACMS IGMOD international l conference on management of data (SIGM OD. 93), 207–216Google Scholar
  3. 3.
    Houtsma M, Swami A (1995) Set-oriented Mining for Association Rules in Relational Databases. In: MProceedings of the 11th IEEE international conference on data engineering, Taipei, 25–34Google Scholar
  4. 4.
    Lei C (2001) Data mining and its application in medical research. Inf Syst 24(5):368–370Google Scholar
  5. 5.
    Armed S (2003) Literature association rules in tumor diagnosis. Comput Eng 29(12):8–10Google Scholar
  6. 6.
    Li H (2003) Cai Chinese association rules in medical data analysis. Microcomput Dev 13(6):94–97Google Scholar
  7. 7.
    Guohai J, Bao-Sen Z, Guan P (2001) Pancreatic cancer prevention early epidemiological evaluation of the effect of health statistics in China 18(2):69–73Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Information Technology Engineering InstituteYuxi Normal UniversityYuxiChina

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