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Diabetes is one of the most common anddramatically increasing metabolic diseases causes the increase in blood sugar. The patient having high blood sugar either caused by the bodyfailure to produce enough insulin (type 1) or the cells failure to respond to the produced insulin (type 2). Since the present medication cannot cure it hence the only way is to estimate the risk of diabetes for each person and take precautions according to the risk factor. This paper presents a Feed forward neural network based approach for the estimation of diabetes risk which estimates the risk factor for any person on the basis of body characteristics (like weight,Bloodpressure etc.).

A Neural Network based Approach for the Diabetes Risk Estimation