Hepatitis Diagnosis by Training of an MLP Artificial Neural Network

In this paper we discuss using artificial neural network for Hepatitis diagnosis. In particular we show how our method is accurate in diagnosis by accurate attribute in dataset. A MLP network trained for this approach and handled a dataset according to symptoms and disease features. We compared how changing of some measures improved the final decision of our system in medical diagnosis.