Identifying cardiovascular disease risk in the U.S. population using environmental volatile organic compounds exposure: A machine learning predictive model based on the SHAP methodology

Background: Cardiovascular disease (CVD) remains a leading cause of mortality globally. Environmental pollutants, specifically volatile organic compounds (VOCs), have been identified as significant risk factors. This study aims to develop a machine learning (ML) model to predict CVD risk based on VO...

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Bibliographic Details
Main Authors: Qingan Fu, Yanze Wu, Min Zhu, Yunlei Xia, Qingyun Yu, Zhekang Liu, Xiaowei Ma, Renqiang Yang
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecotoxicology and Environmental Safety
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Online Access:http://www.sciencedirect.com/science/article/pii/S0147651324012867
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