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Author Correction: Towards interoperability in infection control: a standard data model for microbiology.
Rinaldi, Eugenia; Drenkhahn, Cora; Gebel, Benjamin; Saleh, Kutaiba; Tönnies, Hauke; von Loewenich, Friederike D; Thoma, Norbert; Baier, Claas; Boeker, Martin; Hinske, Ludwig Christian; Diaz, Luis Alberto Peña; Behnke, Michael; Ingenerf, Josef; Thun, Sylvia.
Afiliación
  • Rinaldi E; Berlin Institute of Health, Charité Universitätsmedizin, Berlin, Germany. eugenia.rinaldi@bih-charite.de.
  • Drenkhahn C; Institute of Medical Informatics (IMI), University of Lübeck, Lübeck, Germany.
  • Gebel B; Klinik für Infektiologie und Mikrobiologie, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
  • Saleh K; Data Integration Center, Jena University Hospital, Jena, Germany.
  • Tönnies H; Universitätsklinikum Münster, Münster, Germany.
  • von Loewenich FD; Institute of Virology, University of Mainz, Mainz, Germany.
  • Thoma N; Institute for Hygiene and Environmental Medicine, Charité Universitätsmedizin, Berlin, Germany.
  • Baier C; Hannover Medical School, Institute for Medical Microbiology and Hospital Epidemiology, Hannover, Germany.
  • Boeker M; Technische Universität München, München, Germany.
  • Hinske LC; Institute for Digital Medicine, University Hospital Augsburg, Augsburg, Germany.
  • Diaz LAP; Institute for Hygiene and Environmental Medicine, Charité Universitätsmedizin, Berlin, Germany.
  • Behnke M; Institute for Hygiene and Environmental Medicine, Charité Universitätsmedizin, Berlin, Germany.
  • Ingenerf J; Institute of Medical Informatics (IMI), University of Lübeck, Lübeck, Germany.
  • Thun S; Berlin Institute of Health, Charité Universitätsmedizin, Berlin, Germany.
Sci Data ; 10(1): 919, 2023 Dec 20.
Article en En | MEDLINE | ID: mdl-38123586
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido