Survey on Prediction of Kidney Disease by using Data Mining Techniques

Abstract: Data mining is the process of extracting interesting patterns of huge database hiding. The medical domain contains heterogeneous data as text, figures and images that can be suitably removed to provide various useful medical information. The obtained medical data may be useful to the doctor to detect the pattern of the disease, the predicted survival of the patient after the illness, the severity of the disease, and the like. The main objective of this paper is to analyze the application of data mining in the medical field and some of the techniques used in predicting kidney disease. Today, kidney disease is a major medical problem mining. Key medical industry mining data are used to predict data sets in kidney disease. Thus, different techniques are used to identify the DM-related kidney disease related conditions.

Keywords: Classification, Data Mining, Kidney Disease, Prediction.