IMPLEMENTATION OF AN EXPERT SYSTEM FOR LUNG DISEASE DIAGNOSIS

Abstract

Artificial intelligence is a branch of computer science that deals with intelligent machines and software.
It mainly concerns with deep study and development phases of intelligent machines. Some authors also define Artificial
Intelligence as “The study and design of intelligent agents, where intelligent agent is a system that perceives its
environment and takes actions that maximize its chances of success”. An expert system is also called knowledge based
system. It is a computer program that contains some of the subject specific knowledge of one or more human experts.The
main components of expert system are knowledge base and inference engine. Knowledge base contains the domain
knowledge needed to solve the problems in the form of rules. The rules are a popular paradigm for representing
knowledge. Inference engine is the code at the core of the system which derives conclusions from knowledge base
through inference or reasoning. The major features of expert system are user interface, data representation, inference,
explanations, coping with uncertainty and advantages of expert system are fast response, increased reliability, reduced
cost, reducing errors, multiple expertise, intelligent database, reduced danger. In this paper, focus on the implementation
of an expert system for Lung Disease Diagnosis.