Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs).

Burgoon, Lyle D; Angrish, Michelle; Garcia-Reyero, Natalia; Pollesch, Nathan; Zupanic, Anze; Perkins, Edward

Burgoon, Lyle D; Angrish, Michelle; Garcia-Reyero, Natalia; Pollesch, Nathan; Zupanic, Anze; Perkins, Edward.

Afiliación

Burgoon LD; US Army Engineer Research and Development Center, Vicksburg, MS, USA.
Angrish M; US Environmental Protection Agency, National Center for Environmental Assessment, Research Triangle Park, NC, USA.
Garcia-Reyero N; US Army Engineer Research and Development Center, Vicksburg, MS, USA.
Pollesch N; US Environmental Protection Agency, Mid-Continent Ecology Division, Duluth, MN, USA.
Zupanic A; Eawag, Swiss Federal Institute for Aquatic Science and Technology, Dubendorf, Switzerland.
Perkins E; US Army Engineer Research and Development Center, Vicksburg, MS, USA.

Risk Anal ; 40(3): 512-523, 2020 03.

Article en En | MEDLINE | ID: mdl-31721239

Asunto(s)

Rutas de Resultados Adversos; Teorema de Bayes; Hígado Graso/inducido químicamente; Algoritmos; Animales; Humanos; Probabilidad

Palabras clave

Adverse outcome pathway; computational toxicology; risk assessment; toxicology

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Teorema de Bayes / Hígado Graso / Rutas de Resultados Adversos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Risk Anal Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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