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December 2017 Issue Vol.7 No.12
Performance Comparison of Data Mining Techniques
https://ia601509.us.archive.org/21/items/vol7no1201/vol7no1201.pdf
T.Praveena
Ph.D Research Scholar, Department of Computer Science,Nandha Arts and Science College, Erode, Tamil Nadu, India
Dr.S.Prasath
Assistant Professor, Dept of Computer Science,Nandha Arts and Science College, Erode, Tamil Nadu, India
Abstract:
In recent years the healthcare industry has generated large amounts of data. The value based treatment in hospitals and digitization of world likes to have the computerized data rather than hard copy form. Diabetes is one of the common and rapidly increasing diseases in the world. It is a major health problem in most of the countries. Diabetes is a condition in which your body is unable to produce the required amount of insulin needed to regulate the amount of sugar in the body. This leads to various diseases including heart disease, kidney disease, blindness, nerve damage and blood vessels damage. Hence, there is a requirement of a model that can be developed easily providing reliable, faster and cost effective methods to provide information of the probability of a patient to have diabetes. In this paper dealt with an attempt is made a comparative study on diabetes using classification and clustering.
Keywords:Data Mining, Big Data, Health Care, Diabetes,Clustering, Classification.
