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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-34042877
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Alemania