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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 11, NOVEMBER 2016

Data Mining Techniques for Diagnosing Diabetes and Hepatitis Disease

Ms. N. Gayathri, Ms. K. Yemuna Rane M.Sc., M. Phil., M.Sc (App. Psy)

DOI: 10.17148/IJARCCE.2016.51135

Abstract: Data mining tools are giving successful result for disease diagnosis where it is one of the applications. Widely used in classification and prediction technology in the field of bioinformatics. In this paper diseases such as diabetes and hepatitis has been analyzed and compared using data mining applications. It also summarizes some techniques on medical field (diagnosis and prognosis). To develop disease estimation process using data mining technique it is focused on current research which is being carried out.



Keywords: Data mining techniques, Data mining applications, Hepatitis, Diabetes, Disease diagnosis, Classification, prediction.

How to Cite:

[1] Ms. N. Gayathri, Ms. K. Yemuna Rane M.Sc., M. Phil., M.Sc (App. Psy), “Data Mining Techniques for Diagnosing Diabetes and Hepatitis Disease,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51135