المجلة الدولية للعلوم والتقنية

Expert systems are one of the most important sciences of artificial intelligence that offer programs specifically designed to take the place of experts in a particular field, and it is possible to consult these systems when performing a specific work in the field in which this system is specialized. The expert system in the field of medical diagnostics plays an effective role in determining the cause of deficiencies and sites of weakness in complex cases based on the symptoms observed. Expert systems can be used as a tool for medical diagnosis based on patient data. Systems of expertise can represent the way diagnostic experts think. The aim of this study is to develop an expert system for diagnosing hepatitis disease based on production bases. After the production and formation of the knowledge base and the inference machine included in the system, using the forward inference method in the diagnostic system. Hepatitis disease considered one of the most common infectious diseases, due to its seriousness as a deadly and difficult disease that is difficult to diagnose. The project provides a medical diagnostic system for hepatitis with the most common types A (HAV), B (HCV), and C (HCV). The performance of the system evaluated by presenting it to the specialized experts; it was found that the system and the study achieve high efficiency and accuracy in diagnosing hepatitis