Development of an interpretable machine learning model associated with heavy metals’ exposure to identify coronary heart disease among US adults via SHAP: Findings of the US NHANES from 2003 to 2018-Reference-Cited by-同舟云学术

Development of an interpretable machine learning model associated with heavy metals’ exposure to identify coronary heart disease among US adults via SHAP: Findings of the US NHANES from 2003 to 2018

Published:2023-01 Issue: Volume:311 Page:137039
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Li Xi,Zhao Yang,Zhang Dongdong,Kuang Lei,Huang Hao,Chen Weiling,Fu Xueru,Wu Yuying,Li Tianze,Zhang Jinli,Yuan Lijun,Hu Huifang,Liu Yu,Zhang Ming^ORCID,Hu Fulan,Sun Xizhuo,Hu Dongsheng

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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