Predictive analysis of diabetes using J48 algorithm of classification techniques

Diabetes is a severe disease within which the deceased cannot appropriately manage the amount of sugar in the blood since it does not have adequate insulin, it is also a situation within which the extent of blood glucose stage is elevated than regular. In the area of medicine to discover patient's data as well as to attain a predictive model or a set of rules, Classification techniques have been persistently used. The key purpose of this is to explore and facilitate a better diagnosis of diabetes by predicting the blood glucose level in advance that is before 2 hours. Presently there are quite a lot of other methodologies do endure on classification for the diabetes disease (DD). The planned methodology that has been adopted for the classification and prediction, on the selected feature is J48 Decision Tree algorithm. Primal Diagnosis of DD provides a way with less cost which is always preferable. J48 algorithm is noted for its accuracy.