Utilization of Data Mining Algorithms to Predict Genetic Diabetes

Abstract

Diabetes is one of the major causes of death in recent decades which occur at any age. This is a disease that occurs when one’s blood glucose, known as blood sugar is out of limit value. There are many reasons for creating diabetes which are lifestyle problem, medicine, pregnancy, genetic problem, other diseases etc. For doing, very hard work has been performed with genetic diabetes and a data mining approach for predicting genetic diabetes. Data mining tools proves successful result in case of any diseases diagnosis. There are different data mining techniques available such as tracking patterns, Classification, Association, Outlier detection, Clustering, Regression analysis, Prediction etc. The prediction technique has been done here to make a data mining approach for the diabetes patient that occurred genetically. This prediction is done across the men and women on different ages that have diabetes. In this research based on the dataset, if anyone or both from his/her parents, grandparents (maternal and paternal) have diabetes, he/she is treated as genetic diabetes patient. This research will open a new platform to experiment. The research can be used in medical field.