CADICA: Diagnosis of Coronary Artery Disease Using the Imperialist Competitive Algorithm
نویسندگان
چکیده
منابع مشابه
CADICA: Diagnosis of Coronary Artery Disease Using the Imperialist Competitive Algorithm
Coronary artery disease (CAD) is currently a prevalent disease from which many people suffer. Early detection and treatment could reduce the risk of heart attack. Currently, the golden standard for the diagnosis of CAD is angiography, which is an invasive procedure. In this article, we propose an algorithm that uses data mining techniques, a fuzzy expert system, and the imperialist competitive ...
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Background & Aim: Coronary artery disease is one of the most common diseases in different societies. Coronary angiography is established as one of the best methods for diagnosis of this disease. Angiography is an invasive and costly method. Furthermore, it is associated with risks such as death, heart attack, and stroke. Thus, this study introduces a neuro-fuzzy-based method which can help the ...
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ژورنال
عنوان ژورنال: Journal of Computing Science and Engineering
سال: 2014
ISSN: 1976-4677
DOI: 10.5626/jcse.2014.8.2.87