Prediction of chemical reproductive toxicity to aquatic species using a machine learning model: An application in an ecological risk assessment of the Yangtze River, China.

Fan, Juntao; Huang, Guoxian; Chi, Minghui; Shi, Yao; Jiang, Jinyuan; Feng, Chaoyang; Yan, Zhenguang; Xu, Zongxue

Fan, Juntao; Huang, Guoxian; Chi, Minghui; Shi, Yao; Jiang, Jinyuan; Feng, Chaoyang; Yan, Zhenguang; Xu, Zongxue.

Afiliação

Fan J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Huang G; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Chi M; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Shi Y; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Jiang J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Feng C; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Yan Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: zgyan@craes.org.cn.
Xu Z; College of Water Sciences, Beijing Normal University, Beijing 100875, China.

Sci Total Environ ; 796: 148901, 2021 Nov 20.

Article em En | MEDLINE | ID: mdl-34265613

Assuntos

Disruptores Endócrinos; Poluentes Químicos da Água; China; Disruptores Endócrinos/análise; Disruptores Endócrinos/toxicidade; Monitoramento Ambiental; Aprendizado de Máquina; Medição de Risco; Rios; Poluentes Químicos da Água/análise; Poluentes Químicos da Água/toxicidade

Palavras-chave

Aquatic species; Ecological risk; Machine learning; Prediction; Reproductive toxicity

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Disruptores Endócrinos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Holanda

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