A comparative study of pretrained language models for long clinical text.

Li, Yikuan; Wehbe, Ramsey M; Ahmad, Faraz S; Wang, Hanyin; Luo, Yuan

Li, Yikuan; Wehbe, Ramsey M; Ahmad, Faraz S; Wang, Hanyin; Luo, Yuan.

Afiliação

Li Y; Division of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Wehbe RM; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Ahmad FS; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, Illinois, USA.
Wang H; Division of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Luo Y; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

J Am Med Inform Assoc ; 30(2): 340-347, 2023 01 18.

Article em En | MEDLINE | ID: mdl-36451266

Assuntos

Idioma; Aprendizagem; Processamento de Linguagem Natural

Palavras-chave

clinical natural language processing; named entity recognition; natural language inference; question answering; text classification

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Idioma / Aprendizagem Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google