An Expert System for Diagnosing Eye Diseases using Forward Chaining Method

Abstract

Abstract. Expert System isa system that seeks toadopt human knowledge tothe computer, so that the computer cansolve problems which are usually done byexperts. The purpose of medical expert system is to support the diagnosis process of physicians. It considers facts and symptoms to provide diagnosis. This implies that a medical expert system uses knowledge about diseases and facts about the patients to suggest diagnosis. The aim ofthis research is todesign anexpert system application for diagnosing eye diseases using forward chaining method and tofigure out user acceptance tothis application through usability testing. Eye isselected because it isone of the five senses which isvery sensitive and important. The scope of the work is extended to 16 types of eye diseases with 41 symptoms of the disease, arranged in 16 rules. The computer programming language employed was the PHP programming language and MySQL as the Relational Database Management System (RDBMS). The results obtained showed that the expert system was able to successfully diagnose eye diseases corresponding to the selected symptoms entered as query and the system evaluation through usability testing showedthe expert system for diagnosis eye diseases had very good rate of usability, which includes learnability, efficiency, memorability, errors, and satisfaction so that the system can be received in the operational environment.