Improved characterisation of clinical text through ontology-based vocabulary expansion.

Slater, Luke T; Bradlow, William; Ball, Simon; Hoehndorf, Robert; Gkoutos, Georgios V

Slater, Luke T; Bradlow, William; Ball, Simon; Hoehndorf, Robert; Gkoutos, Georgios V.

Afiliação

Slater LT; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK. l.slater.1@bham.ac.uk.
Bradlow W; University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, B15 2TT, UK. l.slater.1@bham.ac.uk.
Ball S; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Hoehndorf R; University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, B15 2TT, UK.
Gkoutos GV; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.

J Biomed Semantics ; 12(1): 7, 2021 04 12.

Article em En | MEDLINE | ID: mdl-33845909

Assuntos

Ontologias Biológicas; Vocabulário; Mineração de Dados; Ecossistema; Humanos; Vocabulário Controlado

Palavras-chave

Ontology; Semantic similarity; Text mining; Vocabulary expansion

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vocabulário / Ontologias Biológicas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Semantics Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Reino Unido

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