Intelligent System for Brain Diseases Diagnosis Using Neural Network and Bayesian Methods?

Brain disease represents a general term that represents a broad range of brain disorders. It can occur in all age groups, but becomes more common in old age. Medical diagnosis is an important but complicated task that should be performed accurately and efficiently and its automation would be very useful in this domain (medical domain).In this paper we will designed an expert system model to detect and diagnose degenerative brain disease. The disease is determined by using artificial neural network and Bayesian theory. It is the most commonly used techniques for developing expert systems, where the system receive the information of patient and given these the information to ANN which doing the compression between these information with constant values of humans body that stored in network, in the case the similarity values because of symptoms among the more than disease, the disease is specifically by law of Bayesian. Moreover, the system can recommend treatments for the diseases in its specialism. These treatments are suggested based on many conditions and constraints related to the patient and the diagnosed disease as well as it can be used to assist the doctors and less cost.