Signposts for Aquatic Toxicity Evaluation in China: Text Mining using Event-Driven Taxonomy within and among Regions.

Cheng, Fei; Li, Huizhen; Brooks, Bryan W; You, Jing

Cheng, Fei; Li, Huizhen; Brooks, Bryan W; You, Jing.

Afiliação

Cheng F; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
Li H; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
Brooks BW; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
You J; Department of Environmental Science, Institute of Biomedical Studies, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas 76798, United States.

Environ Sci Technol ; 55(13): 8977-8986, 2021 07 06.

Article em En | MEDLINE | ID: mdl-34142809

Assuntos

Mineração de Dados; Qualidade da Água; Teorema de Bayes; Bioensaio; China

Palavras-chave

EDT; Naïve Bayesian classifier; adverse outcome pathway; bioassay battery design; effect-based assessment; event driver; machine learning; water quality assessment

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade da Água / Mineração de Dados Tipo de estudo: Prognostic_studies / Risk_factors_studies País como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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