JLAN: medical code prediction via joint learning attention networks and denoising mechanism.

Li, Xingwang; Zhang, Yijia; Islam, Faiz Ul; Dong, Deshi; Wei, Hao; Lu, Mingyu

Li, Xingwang; Zhang, Yijia; Islam, Faiz Ul; Dong, Deshi; Wei, Hao; Lu, Mingyu.

Afiliação

Li X; School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, Liaoning, China.
Zhang Y; School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, Liaoning, China. zhangyijia@dlmu.edu.cn.
Islam FU; School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, Liaoning, China.
Dong D; Department of Pharmacy, The First Affiliated Hospital of Dalian Medical University, Dalian, 116026, Liaoning, China.
Wei H; School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, Liaoning, China.
Lu M; School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, Liaoning, China.

BMC Bioinformatics ; 22(1): 590, 2021 Dec 13.

Article em En | MEDLINE | ID: mdl-34903164

Assuntos

Registros Eletrônicos de Saúde; Classificação Internacional de Doenças; Humanos; Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

Attention mechanism; Automatic diagnosis; Denoising model; Joint learning; Multi-label classification

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Registros Eletrônicos de Saúde Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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