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.
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, ...
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 ...
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