Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease
Abstract
Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and high risk of cardiovascular events (CVEs). There are several biomarkers described as being associated with CVEs, but their combined effectiveness in cardiovascular risk stratification in CKD has not been tested. The objective of this work is to analyse the combined ability of 19 biomarkers associated with atheromatous disease in predicting CVEs after 4 years of...
Paper Details
Title
Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease
Published Date
Aug 5, 2019
Journal
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