A Generic Knowledge Based Medical Diagnosis Expert System

TL;DR

This paper presents a flexible, knowledge-based medical diagnosis system that uses inference and certainty factors to identify diseases from symptoms, featuring a user-friendly GUI and adaptable integration capabilities.

Contribution

It introduces a generic, flexible medical expert system that can be integrated with various rule-based systems for disease diagnosis.

Findings

Effective disease identification from symptoms

Uses certainty factors to improve diagnosis accuracy

Features a user-friendly graphical interface

Abstract

In this paper, we design and implement a generic medical knowledge based system (MKBS) for identifying diseases from several symptoms. In this system, some important aspects like knowledge bases system, knowledge representation, inference engine have been addressed. The system asks users different questions and inference engines will use the certainty factor to prune out low possible solutions. The proposed disease diagnosis system also uses a graphical user interface (GUI) to facilitate users to interact with the expert system. Our expert system is generic and flexible, which can be integrated with any rule bases system in disease diagnosis.