Clustering-cum-regression based model and performance analysis for early prediction of heart disease
Patient health monitoring is a crucial requirement in today’s world. The researchers work in various domains to efficiently monitor patients’ health status. Due to the COVID-19 pandemic, nowadays, ...
The recent increase in the incidence of coronary heart disease (CHD) has led to the critical state of global disease burden. Thus, reducing the global burden of CHD remains a public health priority 1.
A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...
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