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A Survey on Prediction of Diabetes Using Data Mining Technique


Affiliations
1 Department of Computer Science, Kamban College of Arts and Science, Sulthanpet, India
     

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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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  • A Survey on Prediction of Diabetes Using Data Mining Technique

Abstract Views: 176  |  PDF Views: 1

Authors

S. Nivetha
Department of Computer Science, Kamban College of Arts and Science, Sulthanpet, India
Dr. M. Shanthakumar
Department of Computer Science, Kamban College of Arts and Science, Sulthanpet, India

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.