A common disease that is affecting the whole world is diabetes, and is also
known as a silent killer. Diabetes affects the nervous system, retina of the eyes, kidney,
heart and affects the entire system of the body. Diabetes boosts the other diseases also
whenever patients suffer from them otherwise it remains in sleep mode. The foremost
reason for boosting diabetes is the lifestyle of today’s generation. In this paper, we
have tried to predict diabetes at the primary stage by making use of a neural network
i.e., multilayer perceptron. We have made use of the PIMA Indians diabetes dataset in
our article and the experiments were performed using the Weka tool. After applying the
proposed algorithm, the experimental result shows an increase in accuracy by 3%
which is far better for predicting diabetes.
Keywords: Accuracy, Diabetes, Neural Network, Performance.
