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Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review.
Brauneck, Alissa; Schmalhorst, Louisa; Kazemi Majdabadi, Mohammad Mahdi; Bakhtiari, Mohammad; Völker, Uwe; Baumbach, Jan; Baumbach, Linda; Buchholtz, Gabriele.
  • Brauneck A; Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany.
  • Schmalhorst L; Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany.
  • Kazemi Majdabadi MM; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Bakhtiari M; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Völker U; Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
  • Baumbach J; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Baumbach L; Computational BioMedicine lab, University of Southern Denmark, Odense, Denmark.
  • Buchholtz G; Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
J Med Internet Res ; 25: e41588, 2023 03 30.
Article en En | MEDLINE | ID: mdl-36995759
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Privacidad / Investigación Biomédica Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Privacidad / Investigación Biomédica Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article