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An Intelligent Decision Support Ensemble Voting Model for Coronary Artery Disease Prediction in Smart Healthcare Monitoring Environments. (arXiv:2210.14906v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Coronary artery disease (CAD) is one of the most common cardiac diseases
worldwide and causes disability and economic burden. It is the world's leading
and most serious cause of mortality, with approximately 80% of deaths reported
in low- and middle-income countries. The preferred and most precise diagnostic
tool for CAD is angiography, but it is invasive, expensive, and technically
demanding. However, the research community is increasingly interested in the
computer-aided diagnosis of CAD via the utilization of machine learning (ML) …
arxiv decision disease ensemble environments healthcare intelligent monitoring prediction smart support voting