Prognostic neural network model for diabetic risks prediction

The aim of this study is to find the possible risks prone of diabetic patients by getting the chance of stroke and heart attack. It is predicted by using the prone risk factors of diabetes mellitus. The prediction of the attack of the disease is highly dependent on the quantification of risks contributed by each factor. It is important to assess the risk factors so as to prevent the patients from the consequences risks. The predicted result is obtained as 80%. The developed prognostic model would assist the primary intervention level of diabetic´s risk screening.