Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers

Zhenzhen Du, Shuang Wang, Ouzhou Yang, Juan He, Yujie Yang, Jing Zheng, Honglei Zhao, Yunpeng Cai

Abstract: Dyslipidemia poses a significant risk for the progression to cardiovascular diseases. Despite the identification of numerous risk factors and the proposal of various risk scales, there is still an urgent need for effective predictive models for the onset of cardiovascular diseases in the hyperlipidemic population, which are essential for the prevention of CVD.