Implementing the Rule-Based for the Viral Hepatitis Diagnosis System

Abstract

In medical domain, it is very difficult to get correct diagnosis because there are many possible diseases in each case. The goal of this paper is to develop a medical diagnosis system. This system can provide to identify the Viral Hepatitis diseases that are correspond to the input symptoms. In this system, there are two main components, knowledge base and inference engine. In the knowledge-base, symptoms are represented as the facts in the form of rules. All relevant information, data, rules, cases and relationships used by the diagnosis system are stored in the knowledge base. For controlling the inference engine, forward chaining approach is used for inference the rules that build in knowledge base and decision making for the Viral Hepatitis. The inference engine is used to seek information and relationships from the knowledge base and to diagnose the types of Viral Hepatitis.