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Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
Han, Sifei; Zhang, Robert F; Shi, Lingyun; Richie, Russell; Liu, Haixia; Tseng, Andrew; Quan, Wei; Ryan, Neal; Brent, David; Tsui, Fuchiang R.
Afiliação
  • Han S; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Zhang RF; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, PA, USA.
  • Shi L; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Richie R; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Liu H; Central South University, Changsha, Hunan, CN.
  • Tseng A; Touro University Nevada, Henderson, NV, USA.
  • Quan W; New York University Abu Dhabi, Abu Dhabi, AE.
  • Ryan N; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
  • Brent D; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
  • Tsui FR; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, PA, USA. Electronic address: tsuif@chop.edu.
J Biomed Inform ; 127: 103984, 2022 03.
Article em En | MEDLINE | ID: mdl-35007754
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article