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  • 标题:Mining Techniques for Clinical Expert System and Predicting and Treating Lung Cancer with Big Data
  • 本地全文:下载
  • 作者:N.Naveenkumar ; G.Selvavinayagam
  • 期刊名称:International Journal of Computer Science and Engineering Communications
  • 电子版ISSN:2347-8586
  • 出版年度:2015
  • 卷号:3
  • 期号:3
  • 页码:1040-1046
  • 语种:English
  • 出版社:Scientist Link Group of Publications
  • 摘要:Cancer is the very most important cause of death for both Men and Women. The early apprehension and treatment of cancer can be helpful in curing the disease completely. So the obligation of techniques to detect the state of cancer nodule in early stage increasing. A disease that is commonly misdiagnosed is Lung Cancer. Earlier diagnosis of Lung Cancer saves massive lives, flaw which may lead to other harsh problems causing sudden fatal end detection and diagnosis of the disease. Its treat rate and prediction depends mainly on the early detection and diagnosis sudden fatal end. Data mining have found numerous applications in business and methodical domain. Valuable information can be discovered from application of data mining techniques in healthcare system. In this study, we momentarily examine the potential use of classification based data mining techniques in healthcare system. Big data collects the huge amounts of healthcare data set and survey many data mining approaches for predicting the likelihood of patients getting a Lung Cancer disease. Aim of the paper is to suggest a model for early detection and correct diagnosis of the disease using which will help the doctor in saving the life of the patient.
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