Development of interpretable machine learning models associated with environmental chemicals to predict all-cause and specific-cause mortality：A longitudinal study based on NHANES

Development of interpretable machine learning models associated with environmental chemicals to predict all-cause and specific-cause mortality：A longitudinal study based on NHANES

Limited information is available on potential predictive value of environmental chemicals for mortality. Our study aimed to investigate the associations between 43 of 8 classes representative environmental chemicals in serum/urine and mortality, and further develop the interpretable machine learning...

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Bibliographic Details
Main Authors: Siyu Duan, Yafei Wu, Junmin Zhu, Xing Wang, Yaheng Zhang, Chenming Gu, Ya Fang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Environmental chemicals
All-cause mortality
Cardiovascular disease mortality
Cancer mortality
Interpretable machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651323013684

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http://www.sciencedirect.com/science/article/pii/S0147651323013684

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