Hepatitis Diagnosis by Training of an MLP Artificial Neural Network

In this paper the authors discuss using artificial neural network for Hepatitis diagnosis. In particular they show how their 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. They compared how changing of some measures improved the final decision of the authors' system in medical diagnosis. Nowadays medical diagnosis is an art. Why the authors say this sentence? Because there are many aspects from different range of symptoms per each disease to experience and proficiency of physicians, that should be considered for an appropriate diagnosis. While people have many diseases form different parts of body. So a huge dataset with variety of features has a significant impact in this area.