Ensemble learning for predicting ex vivo human placental barrier permeability.

Chou, Che-Yu; Lin, Pinpin; Kim, Jongwoon; Wang, Shan-Shan; Wang, Chia-Chi; Tung, Chun-Wei

Chou, Che-Yu; Lin, Pinpin; Kim, Jongwoon; Wang, Shan-Shan; Wang, Chia-Chi; Tung, Chun-Wei.

Afiliación

Chou CY; Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan.
Lin P; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Kim J; Chemical Safety Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea.
Wang SS; Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan.
Wang CC; Department and Graduate Institute of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan. ccwang@ntu.edu.tw.
Tung CW; Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan. cwtung@nhri.edu.tw.

BMC Bioinformatics ; 22(Suppl 10): 629, 2022 Sep 22.

Article en En | MEDLINE | ID: mdl-36138350

Asunto(s)

Algoritmos; Placenta; Femenino; Humanos; Aprendizaje Automático; Permeabilidad; Embarazo

Palabras clave

Alternative method; Ensemble learning; Machine learning; Placental barrier permeability

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Placenta / Algoritmos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

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