• YERROLLA SREEKANTH
• S. Nagaraju

The gigantic measures of data produced by healthcare transactions are excessively mind boggling and voluminous, making it impossible to be handled and examined by conventional strategies. Data mining gives the strategy and innovation to change these hills of data into helpful data for decision making. The Healthcare business is for the most part "data rich", which isn't achievable to deal with physically. These a lot of data are essential in the field of data mining to separate helpful data and create connections among the characteristics. Kidney disease is a perplexing task which requires much understanding and knowledge. Kidney disease is a noiseless killer in created nations and one of the primary supporters of disease trouble in creating nations. In the human services industry the data mining is basically utilized for anticipating the diseases from the datasets. The Data mining classification systems, specifically Decision trees, ANN, Naive Bayes are examined on Kidney disease data set.

Kidney Disease, Data Mining, Decision tree, ANN, Naive Bayes, K-NN, Rough Set, SVM, Genetic Algorithms (GAs) / Evolutionary Programming (EP), Logistic Regression, Clustering

"Data Mining Classification Technique towards the Prediction of Kidney Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1053-1057, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805598.pdf

"Data Mining Classification Technique towards the Prediction of Kidney Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp1053-1057, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805598.pdf