Analyzing Chest Pain Cases Using Forward Chaining System

Abstract

A large number of expert systems require the use of forward chaining or data driven inference. Rulebased systems are really only feasible for problems for which any and all knowledge in the problem area can be written in the form of IF-THEN rules. In this paper, Forward Chaining Reasoning Method is used to diagnose chest pain cases that can be caused by whether heart, lungs or gastrointestinal diseases. In our system, chest pain symptoms, signs and laboratory investigations are given as inputs, and it will run as data-driven process and find the goal by depth first search and make decision among nine diseases. Firstly, the causes of diseases (heart, lungs or gastro intestine) are analyzed by applying Forward Chaining Method to discriminate the underlying causes of chest pain. At last, the severity (stage) of diseases can be defined by using Rule- Based System.