Development of knowledge based expert system for tuberculosis disease diagnosis: The case of ambo referral hospital

Tuberculosis is affected by mycobacterium tuberculosis. The bacteria commonly attack the lungs, but tuberculosis bacteria can violent any part of the body. This paper presents a rule-based system for Tuberculosis disease diagnosis to identify Tuberculosis disease timely. The system aims to deliver a monitor for health centers to assist the investigative process. A simple sampling technique is used for acquiring data. Data collection is acquired from document analysis, observation, and interviews to develop the proposed system. The acquired data is designed by using a decision tree structure to represent the diagnosis of tuberculosis disease. The proposed system is developed by SWI prolog and its interface is using Java programming language. The developed system has been evaluated by health centers' domain experts. The performance of the proposed system has been achieved by 86%. Therefore, the developed knowledge-based has useful for diagnosing tuberculosis disease.