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  • 标题:A Study on Early Prevention and Detection of Breast Cancer using Data Mining Techniques
  • 本地全文:下载
  • 作者:Sumalatha.G ; Archana.S
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:6
  • 页码:11045
  • DOI:10.15680/IJIRCCE.2017.0506006
  • 出版社:S&S Publications
  • 摘要:A cancer is a disease caused by uncontrolled division of abnormal cells in a part of the body.They arevarious cancer in the world.one among them is breast cancer. Nowadays Breast cancer becomes very major disease inmany women not only in India but also in other country The main objective of this paper is to early diagnosis of thebreast cancer patients.For early prevention and detection of the breast cancer patients, data mining techniques isused.Former determination of Breast Cancer spares incredible lives, falling flat which may prompt to other forcefulissues bringing on sudden fatal end. Its cure rate and expectation depend predominantly on the early identification andfinding of the infection.The selection of suitable clustering data mining technique is a challenge for the diagnosis ofbreast cancer.This paper becomes very helpful to doctor for diagnosis breast cancer and also helpful to patients forearly treatment.
  • 关键词:breast cancer;data mining;J48 decision tree;zeroR;Weka.
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