A Multimedia Medical Expert System for Human Diseases Diagnosis

Abstract

With the great expansion and development of computer science and its systems. Its applications are used in most areas of life, which facilitated the solution of many simple and complex issues, as it was used in multiple fields, including the medical field, where computer applications were designed to help the specialist doctor in his work and reduce the time in diagnosis. In this research, an expert system is built, which is one of the artificial intelligence techniques, using the advanced (forward) sequencing algorithms also called data-directed inference, and the algorithm. Backward (backward) sequence, also called target-directed inference, to diagnose the most common diseases to which a person is exposed. It is supported by multimedia, which includes (text, images, audio, and video) to reach a solution to the problem through dialogue with the user and rely on the stored knowledge as a base on which the inference engine represented by the two algorithms to reach to solutions, instructions and recommendations to diagnose the disease and give the appropriate treatment. These solutions are given to users in several forms using multimedia (text, pictures, audio and video) and this system is used by people who cannot reach a doctor or hospital for any reason. This system consists of major parts, which are the knowledge base that organizes the collection of facts the laws and the inference engine, which in turn include the Forward Chaining and Backward Chaining algorithms. These diseases in order to reach a diagnosis of the disease with high accuracy, and this leads to reducing medical errors. The proposed system can be used as a substitute for the doctor in diagnosing some diseases in general and some diseases in particular. Which is useful in cases where the doctor is absent due to natural conditions or emergency situations, or when it is difficult for the patient to reach hospitals or health centers.