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Diabetes Prediction Medicament using Optimized SVM algorithm with Outlier detection and removal


K. Kanmani,Dr.A. Murugan


Vol. 22  No. 5  pp. 539-544


Data mining-based prediction techniques can help in the early detection of diabetes and the related critical events. Data mining algorithms are being used to improve the early diagnosis of diseases such as type 2 diabetes. This study aims to develop an Optimized Prediction Model that can predict the risk of diabetes. In this work we are using an optimized SVM with applied outlier detection removal mechanism based on the input factors from individuals, we implemented this process by Using R- Programming.


Data mining, SVM, Outlier Detection, R programming