A Data Mining Approach for Prediction and Treatment Ofdiabetes Disease
نویسندگان
چکیده
The advancement in computers provided large amount of data. The task is to analyse the input data and obtain the required data which can be done by various data mining techniques. The diagnosis of diabetes is a significant and tedious task in medicine. So the present work focus on analysis of diabetes data by various data mining techniques which involve,Naive Bayes, J48(C4.5) JRip ,Neural networks, Decision trees, KNN, Fuzzy logic and Genetic Algorithms based on accuracy and time. The 9 selected attributes wereSex, Diastolic B.P, Plasma glucose, Skin fold thick, BMI, Diabetes Pedigree type, No. of times Pregnant, 2 hr Serum Insulin and Diabetes probability.J48(C4.5) reported simple, efficient classifier of diabetes data.
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