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A Combined Belief Rule based Expert System to Predict Coronary Artery Disease

Author Affiliations
Premier University, University of Science and Technology Chittagong, Rangamati Science and Technology University, East Delta University
Year2020
Citations24

Abstract

Coronary Artery Disease (CAD) is the clogging of the coronary arteries caused by cholesterol and fatty acid on the arteries. Millions of people die every year and the rate of dying is increasing alarmingly from cardiovascular disease all over the world including a huge portion in Bangladesh. Although a remarkable improvement has been done for heart related disease, still early detection is a big challenge for the treatment. In addition, Coronary angiography is a standard way for detecting CAD. Unfortunately, it is very expensive as it needs expensive instruments and CAD experts. Current BRB models transform input attributes without combining them. However, for some expert system, combine effort of the attributes is an obvious. In this paper, a BRB model…
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