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Machine Learning for Health: Algorithm Auditing & Quality Control.
Oala, Luis; Murchison, Andrew G; Balachandran, Pradeep; Choudhary, Shruti; Fehr, Jana; Leite, Alixandro Werneck; Goldschmidt, Peter G; Johner, Christian; Schörverth, Elora D M; Nakasi, Rose; Meyer, Martin; Cabitza, Federico; Baird, Pat; Prabhu, Carolin; Weicken, Eva; Liu, Xiaoxuan; Wenzel, Markus; Vogler, Steffen; Akogo, Darlington; Alsalamah, Shada; Kazim, Emre; Koshiyama, Adriano; Piechottka, Sven; Macpherson, Sheena; Shadforth, Ian; Geierhofer, Regina; Matek, Christian; Krois, Joachim; Sanguinetti, Bruno; Arentz, Matthew; Bielik, Pavol; Calderon-Ramirez, Saul; Abbood, Auss; Langer, Nicolas; Haufe, Stefan; Kherif, Ferath; Pujari, Sameer; Samek, Wojciech; Wiegand, Thomas.
Afiliación
  • Oala L; Fraunhofer HHI, Berlin, Germany. luis.oala@hhi.fraunhofer.de.
  • Murchison AG; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Balachandran P; Technical Consultant (Digital Health), Thiruvananthapuram, India.
  • Choudhary S; University of Oxford, Oxford, United Kingdom.
  • Fehr J; Hasso-Plattner-Institute of Digital Engineering, Potsdam, Germany.
  • Leite AW; Machine Learning Laboratory in Finance and Organizations, Universidade de Brasília, Brasília, Brazil.
  • Goldschmidt PG; World Development Group Inc, Bethesda, MD, USA.
  • Johner C; Johner Institute, Konstanz, Germany.
  • Schörverth EDM; Fraunhofer HHI, Berlin, Germany.
  • Nakasi R; Makerere University, Kampala, Uganda.
  • Meyer M; Siemens Healthineers, Erlangen, Germany.
  • Cabitza F; University of Milano-Bicocca, Milan, Italy.
  • Baird P; Philips, New Kensington, USA.
  • Prabhu C; Office of the Auditor General of Norway, Oslo, Norway.
  • Weicken E; Fraunhofer HHI, Berlin, Germany.
  • Liu X; University Hospitals Birmingham NHS Foundation Trust & Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.
  • Wenzel M; Fraunhofer HHI, Berlin, Germany.
  • Vogler S; Bayer AG, Berlin, Germany.
  • Akogo D; minoHealth AI Labs, Accra, Ghana.
  • Alsalamah S; Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
  • Kazim E; Digital Health and Innovation Department, Science Division, World Health Organization, Winterthur, Switzerland.
  • Koshiyama A; University College London, London, United Kingdom.
  • Piechottka S; University College London, London, United Kingdom.
  • Macpherson S; Open Regulatory, Bonn, Germany.
  • Shadforth I; MIOTIFY LTD, London, United Kingdom.
  • Geierhofer R; MIOTIFY LTD, London, United Kingdom.
  • Matek C; IEC TC62 and Siemens Healthineers, Erlangen, Germany.
  • Krois J; Helmholtz Zentrum München, Neuherberg, Germany.
  • Sanguinetti B; Oral Diagnostics Digital Health Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.
  • Arentz M; Dotphoton AG, Zug, Switzerland.
  • Bielik P; Department of Global Health, University of Washington, Washington, USA.
  • Calderon-Ramirez S; LatticeFlow & ETH Zurich, Zürich, Switzerland.
  • Abbood A; De Montfort University & Instituto Tecnologico de Costa Rica, Cartago, Costa Rica.
  • Langer N; Robert Koch Institut, Berlin, Germany.
  • Haufe S; Department of Psychology, University of Zurich, Zürich, Switzerland.
  • Kherif F; Technische Universität Berlin, Berlin, Germany.
  • Pujari S; Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Samek W; Digital Health and Innovation Department, Science Division, World Health Organization, Winterthur, Switzerland.
  • Wiegand T; Fraunhofer HHI, Berlin, Germany.
J Med Syst ; 45(12): 105, 2021 Nov 02.
Article en En | MEDLINE | ID: mdl-34729675
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Control de Calidad / Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Control de Calidad / Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article