Delving into biomarkers and predictive modeling for CVD mortality: a 20-year cohort study

Delving into biomarkers and predictive modeling for CVD mortality: a 20-year cohort study

Abstract Accurate prediction of cardiovascular disease (CVD) mortality is essential for effective treatment decisions and risk management. Current models often lack comprehensive integration of key biomarkers, limiting their predictive power. This study aims to develop a predictive model for CVD-rel...

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Bibliographic Details
Main Authors: Zhen Wu, Abdullahi Mohamud Hilowle, Ying Zhou, Changlin Zhao, Shuo Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Cardiovascular disease
Mortality prediction
Machine learning
Biomarkers
Online Access:https://doi.org/10.1038/s41598-025-88790-y
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https://doi.org/10.1038/s41598-025-88790-y

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