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Ontological Modelling and Execution of Phenotypic Queries in the Leipzig Health Atlas.
Uciteli, Alexandr; Beger, Christoph; Wagner, Jonas; Kiel, Alexander; Meineke, Frank A; Stäubert, Sebastian; Löbe, Matthias; Hänsel, René; Schuster, Judith; Kirsten, Toralf; Herre, Heinrich.
Afiliação
  • Uciteli A; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Beger C; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Wagner J; Growth Network CrescNet, University of Leipzig, Germany.
  • Kiel A; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Meineke FA; LIFE Research Centre for Civilization Diseases, University of Leipzig, Germany.
  • Stäubert S; LIFE Research Centre for Civilization Diseases, University of Leipzig, Germany.
  • Löbe M; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Hänsel R; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Schuster J; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Kirsten T; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
  • Herre H; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
Stud Health Technol Inform ; 278: 66-74, 2021 May 24.
Article em En | MEDLINE | ID: mdl-34042877
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Metadados Tipo de estudo: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Holanda
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Metadados Tipo de estudo: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Holanda