Estimating redundancy in clinical text.

Searle, Thomas; Ibrahim, Zina; Teo, James; Dobson, Richard

Searle, Thomas; Ibrahim, Zina; Teo, James; Dobson, Richard.

Afiliação

Searle T; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: thomas.searle@kcl.ac.uk.
Ibrahim Z; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: zina.ibrahim@kcl.ac.uk.
Teo J; King's College Hospital NHS Foundation Trust, London, UK. Electronic address: jamesteo@nhs.net.
Dobson R; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institute of Health Informatics, University College London, London, UK. Electronic address: richard.j.dobson@kcl.ac.uk.

J Biomed Inform ; 124: 103938, 2021 12.

Article em En | MEDLINE | ID: mdl-34695581

Assuntos

Registros Eletrônicos de Saúde; Processamento de Linguagem Natural; Idioma; Narração; Semântica

Palavras-chave

Deep transfer learning for language modelling of clinical text; Natural language processing methods to estimate redundancy of clinical text

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article

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