Intelligence Answering about Tuberculosis Using Forward Chaining Approach

Abstract

An expert system is a computer based system that user knowledge, facts and reasoning techniques to solve problems that normally require the abilities of human experts. Experts systems for the diagnosis of the health problem are set out the fatigue of the role of the caretaker. In order to build the knowledge based of the expert system, it has been necessary to design a model of the problem: once this model is defined the knowledge based is composed by a set of rules constructed in logic. This paper is intended to develop the Rule-based system for diagnosis of Tuberculosis. The knowledge base of an expert system is often rule base, the system has a list of rule which determine what should be done in different situations. The rules are called production rules. Forward chaining is the general concept of data-driven reasoning that is, reasoning in within an agent to derive conclusions from incoming percepts, often without a specific query in mind. The purpose of this paper is to support the way that ensures the most effects of complications. This proposal builds a rule-based expert system for diagnosis of Tuberculosis to give the knowledge of Tuberculosis concepts. It is an effective way and easily to diagnose the Tuberculosis with related treatment.