Intelligent rule-based system for diagnosing eye diseases

This topic presents the development of an intelligent rule-based system for diagnosing multiple Eye diseases. The motivation behind this work was due to the inflexibility of the existing systems that are only able to diagnose a single type of eye disease. An expert system like the CASNET/GLAUCOMA or PADI-HAA was used to diagnose glaucoma. The stages used to develop our system includes modelling, Knowledge representation, Knowledge acquisition, Inference and System evaluation. This system was developed using HTML, CSS and JavaScript for the frontend and Node.JS for the backend. This system can diagnose eleven different eye diseases thereby solving the issue of the inflexibility of other expert systems.