Bireylerin Koroner Arter Hastalığı Risk Seviyesinin Bulanık Uzman Sistem Yaklaşımı İle Belirlenmesi.

Coronary Artery Disease (CAD) is one of the most important diseases that cause people to die worldwide. Although developments in medicine facilitate the treatment of this disease, there are still some inadequacies in identifying and evaluating risk factors. In this study, various risk factors used in the diagnosis were determined by considering individuals with typical symptoms and complaints related to CAD. In addition, an artificial intelligence system has been developed to determine the CAD risk levels of individuals by using the fuzzy expert system method. The designed system is rule-based, and this rule-based structure was created with the knowledge obtained from medical experts. The system provides self-risk assessment and customized recommendations to reduce individuals' disease risk. In this way, the increase in the number of people who have coronary artery disease can be prevented or delayed. [ABSTRACT FROM AUTHOR]