A Literature Review on Prediction of Chronic Kidney Disease Using Data Mining Techniques

Smitha Patil

Abstract: Nowadays Kidney Disease is a growing problem in the world wide. Due to the high possibility of death within a short period of time, a patient must be hospitalized and appropriately cured. Many Data Mining techniques are used in the health care industry for predicting the Kidney Disease. The Data Mining techniques, namely SVM, Naive Bayes, Decision Tree, Classification, Neural Network are used to analyze the accuracy for the kidney related disease.

Keywords: Data Mining, Chronic Kidney Disease, Data Mining Techniques

How to Cite?: Smitha Patil, "A Literature Review on Prediction of Chronic Kidney Disease Using Data Mining Techniques", Volume 6 Issue 3, March 2017, International Journal of Science and Research (IJSR), Pages: 770-773, https://www.ijsr.net/getabstract.php?paperid=ART20171439, DOI: https://dx.doi.org/10.21275/ART20171439