Clinical concept and relation extraction using prompt-based machine reading comprehension.

Peng, Cheng; Yang, Xi; Yu, Zehao; Bian, Jiang; Hogan, William R; Wu, Yonghui

Peng, Cheng; Yang, Xi; Yu, Zehao; Bian, Jiang; Hogan, William R; Wu, Yonghui.

Afiliação

Peng C; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Yang X; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Yu Z; Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, Florida, USA.
Bian J; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Hogan WR; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Wu Y; Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, Florida, USA.

J Am Med Inform Assoc ; 30(9): 1486-1493, 2023 08 18.

Article em En | MEDLINE | ID: mdl-37316988

Assuntos

Compreensão; Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos; Humanos; Processamento de Linguagem Natural

Palavras-chave

clinical concept extraction; machine reading comprehension; natural language processing; relation extraction; transformer model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compreensão / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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