Toward a standard formal semantic representation of the model card report.

Amith, Muhammad Tuan; Cui, Licong; Zhi, Degui; Roberts, Kirk; Jiang, Xiaoqian; Li, Fang; Yu, Evan; Tao, Cui

Amith, Muhammad Tuan; Cui, Licong; Zhi, Degui; Roberts, Kirk; Jiang, Xiaoqian; Li, Fang; Yu, Evan; Tao, Cui.

Afiliação

Amith MT; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Cui L; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Zhi D; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Roberts K; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Jiang X; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Li F; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Yu E; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Tao C; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA. cui.tao@uth.tmc.edu.

BMC Bioinformatics ; 23(Suppl 6): 281, 2022 Jul 14.

Article em En | MEDLINE | ID: mdl-35836130

Assuntos

Ontologias Biológicas; Semântica; Inteligência Artificial; Biologia Computacional; Aprendizado de Máquina; Software

Palavras-chave

Artificial intelligence; FAIR; Knowledge representation; Machine learning; Model cards; Ontology; Semantic web; Standardization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Ontologias Biológicas Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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