Potential directions on coronary artery disease prediction using machine learning algorithms: A survey
Anu Ragavi Vijayaraj,
Subbulakshmi Pasupathi
Abstract:<p>Coronary artery disease (CAD) is the most ubiquitous and protuberant cause of fatal death. The hit in mortality rate is because of certain lifestyle variables including unhealthy diet, usage of tobaccos and drugs, physical inactivity, and environmental pollution. Traditional screening tests including computed tomography, angiography, electrocardiography, and magnetic resonance imaging are employed for diagnosis and would necessitate more manpower. Machine learning (ML) has been utilized in healthcare … Show more
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