No abstract

No abstract

In spite of all standardization efforts, medical diagnosis is still considered as an art owing to its uncertainty that today's computing machinery cannot cope with. This research is performed for the search of substitutes to the resolution of complex medical diagnosis where human knowledge is detained in a general fashion. Artificial neural network algorithms provide a reasonably high-quality solution for medical problems and this paper is concerned with the diagnosis of hepatitis B. In this paper, we present an intelligent system for hepatitis B diagnosis using a standard feed-forward network with multilayer perceptron (MLP) structure and back propagation algorithm. The results obtained reveal that neural networks can be successfully used for the diagnosis of hepatitis B. Also, a comparative analysis is performed with a number of other knowledge-based systems designed for hepatitis B diagnosis, to prove the effectiveness of the proposed intelligent system based on MLP.

No abstract

No abstract