Enhancing unsupervised medical entity linking with multi-instance learning.

Yan, Cheng; Zhang, Yuanzhe; Liu, Kang; Zhao, Jun; Shi, Yafei; Liu, Shengping

Yan, Cheng; Zhang, Yuanzhe; Liu, Kang; Zhao, Jun; Shi, Yafei; Liu, Shengping.

Afiliação

Yan C; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zhang Y; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
Liu K; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. yzzhang@nlpr.ia.ac.cn.
Zhao J; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. yzzhang@nlpr.ia.ac.cn.
Shi Y; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Liu S; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.

BMC Med Inform Decis Mak ; 21(Suppl 9): 317, 2021 11 16.

Article em En | MEDLINE | ID: mdl-34789262

Assuntos

Mineração de Dados; Processamento de Linguagem Natural; Humanos; Bases de Conhecimento; Idioma

Palavras-chave

Medical entity linking; Multiple instance learning; Unsupervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Mineração de Dados Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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