Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic Organisms.

Zhou, Yunchi; Wang, Ying; Peijnenburg, Willie; Vijver, Martina G; Balraadjsing, Surendra; Fan, Wenhong

Zhou, Yunchi; Wang, Ying; Peijnenburg, Willie; Vijver, Martina G; Balraadjsing, Surendra; Fan, Wenhong.

Afiliación

Zhou Y; School of Space and Environment, Beihang University, Beijing100191, China.
Wang Y; School of Space and Environment, Beihang University, Beijing100191, China.
Peijnenburg W; Institute of Environmental Science (CML), Leiden University, Leiden2300, RA, The Netherlands.
Vijver MG; Center for Safety of Substances and Products, National Institute of Public Health and the Environment (RIVM), Bilthoven3720, BA, The Netherlands.
Balraadjsing S; Institute of Environmental Science (CML), Leiden University, Leiden2300, RA, The Netherlands.
Fan W; Institute of Environmental Science (CML), Leiden University, Leiden2300, RA, The Netherlands.

Environ Sci Technol ; 57(46): 17786-17795, 2023 Nov 21.

Article en En | MEDLINE | ID: mdl-36730792

Asunto(s)

Organismos Acuáticos; Nanoestructuras; Nanoestructuras/toxicidad; Medición de Riesgo; Aprendizaje Automático

Palabras clave

aquatic organisms; exposure conditions; machine learning; nanomaterials; prediction; toxicity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nanoestructuras / Organismos Acuáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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