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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.
Afshar, Majid; Dligach, Dmitriy; Sharma, Brihat; Cai, Xiaoyuan; Boyda, Jason; Birch, Steven; Valdez, Daniel; Zelisko, Suzan; Joyce, Cara; Modave, François; Price, Ron.
Afiliação
  • Afshar M; Center for Health Outcomes and Informatics Research, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Dligach D; Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
  • Sharma B; Center for Health Outcomes and Informatics Research, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Cai X; Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
  • Boyda J; Department of Computer Science, Loyola University, Chicago, Illinois, USA.
  • Birch S; Department of Computer Science, Loyola University, Chicago, Illinois, USA.
  • Valdez D; Informatics and Systems Development, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Zelisko S; Informatics and Systems Development, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Joyce C; Informatics and Systems Development, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Modave F; Informatics and Systems Development, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
  • Price R; Informatics and Systems Development, Health Sciences Division, Loyola University Chicago, Maywood, Illinois, USA.
J Am Med Inform Assoc ; 26(11): 1364-1369, 2019 11 01.
Article em En | MEDLINE | ID: mdl-31145455
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Unified Medical Language System / Vocabulário Controlado / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Ano de publicação: 2019 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Unified Medical Language System / Vocabulário Controlado / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Ano de publicação: 2019 Tipo de documento: Article