Using big data searching and machine learning to predict human health risk probability from pesticide site soils in China.

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作者： Xin,Wang ^[1] ; Dongsheng,Yu ^[2] ; Lixia,Ma ^[3] ; Xiaosong,Lu ^[1] ; Jie,Song ^[1] ; Mei,Lei ^[4]

作者单位： State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China. ^[1] State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: dshyu@issas.ac.cn. ^[2] State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China. ^[3] Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China. ^[4]

关键词 Human health risk Label propagation algorithm Pesticide site Risk probability prediction Semi-supervised learning model

主题词算法(Algorithms);人类(Humans);农药(Pesticides);概率(Probability);土壤(Soil)

DOI 10.1016/j.jenvman.2022.115798

PMID 35932743

发布时间 2022-09-13

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