Design a Fuzzy Expert System for Hepatitis Diagnosis

One of the problems of medical diagnosis expert systems is inability to inexact reasoning. To solve this problem, strategies such as neural networks and fuzzy logic are used. In this paper, a fuzzy expert system for diagnosis of hepatitis offers. Thus, the parameters of nausea, bile in urine, liver tenderness, eye discoloration, skin discoloration and jaundice are used as input and hepatitis parameter is used as output. The system implement via Sugeno method and by using Matlab software because of its ability to implement fuzzy systems has been done. This system can help doctors and specialists for diagnosis of hepatitis better and more accurate.

کلیدواژه ها:

artificial intelligence ، computer neural networks ، expert system ، fuzzy logical ، hepatitis