Pesticides, cancer, and oxidative stress: an application of machine learning to NHANES data

Abstract Background The large-scale application of pyrethroids and organophosphorus pesticides has great benefits for pest control. However, the increase of cancer incidence rate in recent years has also caused public concern about the health risks of pesticides. Hence, we utilized data from the Nat...

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Библиографические подробности

Главные авторы:	Yanbin Liu, Kunze Li, Chaofan Li, Zeyao Feng, Yifan Cai, Yu Zhang, Yijian Hu, Xinyu Wei, Peizhuo Yao, Xuanyu Liu, Yiwei Jia, Wei Lv, Yinbin Zhang, Zhangjian Zhou, Fei Wu, Wanjun Yan, Shuqun Zhang, Chong Du
Формат:	Artigo
Язык:	Inglês
Опубликовано:	SpringerOpen 2024-01-01
Серии:	Environmental Sciences Europe
Предметы:	Pesticide Oxidative stress Cancer NHANES Machine learning Predict model
Online-ссылка:	https://doi.org/10.1186/s12302-023-00834-0
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