Implementation of Bayes Theorem in Expert System to Diagnose Coronary Heart Disease

Coronary heart disease is a heart disease that involves disorders of the blood vessels (coronary arteries). Recognizing and treating them requires attention and recognition of existing risk factors. In this study, an expert system has been built to diagnose coronary heart disease which is useful for knowing the type of coronary heart disease someone is experiencing and knowing the percentage level of disease that is experienced. The problem of this research is how to build an expert system to diagnose coronary heart disease to make it easier for the public to find out what disease is being suffered by implementing the Bayes theorem in an expert system. The Bayes theorem method is machine learning using probability calculations using the Bayesin approach concept. How to use this application, the admin first enters questions in the form of symptoms experienced by the patient, then the system will process all patient answers using the Bayes method and the system will issue an output in the form of a diagnosis of the disease. This system can assist sufferers in knowing the type of disease that is being experienced and in accordance with the analysis of coronary heart disease