Results Evaluation of Medical Diagnosis System Using Back propagation Algorithm

Artificial Intelligence has always lent a helping hand to the practitioners of medicine for improving medical diagnosis and treatment then, paradigm of artificial neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and testing a network by medical data are described. A lot of Applications tried to help human experts, offering a solution. In this paper, Neural Network based Proposed diagnosis system has the capabilities to take intelligent decision based on given symptoms of diseases takes as a input and outcomes shows the bacterial infection level.The back propagation algorithm presented in this paper used for training depends on a multilayer neural network with a very small learning rate, especially when using a large training set size. It can be applied in a generic manner for any network size that uses a back propagation algorithm and achieved the best performance with the minimum epoch (training iterations) and training time.