Multi-task machine learning models for simultaneous prediction of tissue-to-blood partition coefficients of chemicals in mammals.

Zhang, Shuying; Luo, Xiaojun; Mai, Bixian

Zhang, Shuying; Luo, Xiaojun; Mai, Bixian.

Afiliación

Zhang S; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
Luo X; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China. Electronic address: luoxiaoj@gig.ac.cn.
Mai B; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.

Environ Res ; 241: 117603, 2024 Jan 15.

Article en En | MEDLINE | ID: mdl-37939805

Asunto(s)

Algoritmos; Redes Neurales de la Computación; Animales; Aprendizaje Automático; Mamíferos; Hígado

Palabras clave

Applicability domain; Artificial neural network; Multi-task learning; Random forest; Risk assessment; Tissue-to-blood partition coefficient

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Límite: Animals Idioma: En Revista: Environ Res Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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