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Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
Peng, Le; Luo, Gaoxiang; Walker, Andrew; Zaiman, Zachary; Jones, Emma K; Gupta, Hemant; Kersten, Kristopher; Burns, John L; Harle, Christopher A; Magoc, Tanja; Shickel, Benjamin; Steenburg, Scott D; Loftus, Tyler; Melton, Genevieve B; Gichoya, Judy Wawira; Sun, Ju; Tignanelli, Christopher J.
Afiliación
  • Peng L; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Luo G; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Walker A; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Zaiman Z; Department of Computer Science, Emory University, Atlanta, Georgia, USA.
  • Jones EK; Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
  • Gupta H; Fairview Health Services, Minneapolis, Minnesota, USA.
  • Kersten K; Nvidia Corporation, Santa Clara, California, USA.
  • Burns JL; The School of Medicine, Indiana University, Indianapolis, Indiana, USA.
  • Harle CA; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
  • Magoc T; University of Florida College of Medicine, Gainesville, Florida, USA.
  • Shickel B; Department of Medicine, University of Florida, Gainesville, Florida, USA.
  • Steenburg SD; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, USA.
  • Loftus T; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Melton GB; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, USA.
  • Gichoya JW; Department of Surgery, University of Florida, Gainesville, Florida, USA.
  • Sun J; Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
  • Tignanelli CJ; Fairview Health Services, Minneapolis, Minnesota, USA.
J Am Med Inform Assoc ; 30(1): 54-63, 2022 12 13.
Article en En | MEDLINE | ID: mdl-36214629
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Prueba de COVID-19 / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans País/Región como asunto: America do norte / Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Prueba de COVID-19 / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans País/Región como asunto: America do norte / Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos