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1 Ergebnisse
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Development of an interpretable machine learning model asso..:
Li, Xi
;
Zhao, Yang
;
Zhang, Dongdong
...
Chemosphere. 311 (2023) - p. 137039 , 2023
Link:
https://doi.org/10.1016/j.chemosphere.2022.137039
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.chemosphere.2022.137039&Exemplar=1&LAN=DE A1 Li, Xi A1 Zhao, Yang A1 Zhang, Dongdong A1 Kuang, Lei A1 Huang, Hao A1 Chen, Weiling A1 Fu, Xueru A1 Wu, Yuying A1 Li, Tianze A1 Zhang, Jinli A1 Yuan, Lijun A1 Hu, Huifang A1 Liu, Yu A1 Zhang, Ming A1 Hu, Fulan A1 Sun, Xizhuo A1 Hu, Dongsheng PB Elsevier BV YR 2023 SN 0045-6535 JF Chemosphere VO 311 SP 137039 LK http://dx.doi.org/https://doi.org/10.1016/j.chemosphere.2022.137039 DO https://doi.org/10.1016/j.chemosphere.2022.137039 SF ELIB - SuUB Bremen
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