Evaluation of a Bayesian Network for Strengthening the Weight of Evidence to Predict Acute Fish Toxicity from Fish Embryo Toxicity Data.

Lillicrap, Adam; Moe, S Jannicke; Wolf, Raoul; Connors, Kristin A; Rawlings, Jane M; Landis, Wayne G; Madsen, Anders; Belanger, Scott E

Lillicrap, Adam; Moe, S Jannicke; Wolf, Raoul; Connors, Kristin A; Rawlings, Jane M; Landis, Wayne G; Madsen, Anders; Belanger, Scott E.

Afiliação

Lillicrap A; Norwegian Institute for Water Research (NIVA), Oslo.
Moe SJ; Norwegian Institute for Water Research (NIVA), Oslo.
Wolf R; Norwegian Institute for Water Research (NIVA), Oslo.
Connors KA; Procter and Gamble, Cincinnati, Ohio, USA.
Rawlings JM; Procter and Gamble, Cincinnati, Ohio, USA.
Landis WG; Western Washington University, Bellingham, Washington, USA.
Madsen A; Department of Computer Science, Aalborg University, Aalborg, Denmark.
Belanger SE; HUGIN EXPERT A/S, Aalborg, Denmark.

Integr Environ Assess Manag ; 16(4): 452-460, 2020 Jun.

Article em En | MEDLINE | ID: mdl-32125082

Assuntos

Ecotoxicologia; Medição de Risco; Animais; Teorema de Bayes; Embrião não Mamífero; Peixes; Testes de Toxicidade Aguda

Palavras-chave

Acute fish toxicity; Bayesian network; Fish embryo toxicity; Hazard assessment; Weight of evidence

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medição de Risco / Ecotoxicologia Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Integr Environ Assess Manag Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google