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A Survey on Prediction of Diabetes Using Data Mining Technique

S. Nivetha, Dr. M. Shanthakumar

Abstract


This paper helps in predicting diabetes by applying data mining techniques. Data mining is a process of obtaining the information from a dataset and transforms it into unambiguous structure. Medical data mining has been a great capability for finding hidden patterns in the data sets of the medical domain. Diabetes is one of the major global health issues. There are many Data mining techniques for the prediction of diseases like heart diseases, cancer, kidney stones, etc. Prediction of Diabetes is an emerging and fastest growing technology. Using various Data mining techniques we can predict Diabetes from the data set of a patient. This research paper concentrates on the overall survey related to various Data mining techniques for predicting diabetes.

Keywords


Diabetes, Data Mining, Prediction, Classification, Clustering, Naive Bayes, Decision Tree, KDD, Association, Regression.

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References


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