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AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.
Scheible, Raphael; Caliskan, Deniz; Fischer, Patrick; Thomczyk, Fabian; Zabka, Susanne; Schneider, Henning; Boeker, Martin; Schulz, Stefan; Prokosch, Hans-Ulrich; Gulden, Christian.
Afiliação
  • Scheible R; Institute of Medical Informatics, Statistics and Epidemiology, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
  • Caliskan D; Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Fischer P; Medical Center for Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany.
  • Thomczyk F; Institute of Medical Informatics, Faculty of Medicine, Justus-Liebig-University Giessen, Giessen, Germany.
  • Zabka S; Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Schneider H; Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Boeker M; Institute of Medical Informatics, Faculty of Medicine, Justus-Liebig-University Giessen, Giessen, Germany.
  • Schulz S; Institute of Medical Informatics, Statistics and Epidemiology, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
  • Prokosch HU; Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Gulden C; Averbis GmbH, Freiburg, Germany.
Stud Health Technol Inform ; 290: 32-36, 2022 Jun 06.
Article em En | MEDLINE | ID: mdl-35672965
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2022 Tipo de documento: Article