SCOR: A secure international informatics infrastructure to investigate COVID-19

J.L. Raisaro, F. Marino, J. Troncoso-Pastoriza, R. Beau-Lejdstrom, R. Bellazzi, R. Murphy, E.V. Bernstam, H. Wang, M. Bucalo, Y. Chen, A. Gottlieb, A. Harmanci, M. Kim, Y. Kim, J. Klann, C. Klersy, B.A. Malin, M. Meán, F. Prasser, L. ScudellerA. Torkamani, J. Vaucher, M. Puppala, S.T.C. Wong, M. Frenkel-Morgenstern, H. Xu, B.M. Musa, A.G. Habib, T. Cohen, A. Wilcox, H.M. Salihu, H. Sofia, X. Jiang, J.P. Hubaux

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1721-1726
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume27
Issue number11
DOIs
Publication statusPublished - 2020

Keywords

  • COVID-19
  • federated learning
  • healthcare privacy
  • international consortium
  • secure data analysis
  • computer security
  • Coronavirus infection
  • ethics
  • human
  • information dissemination
  • international cooperation
  • machine learning
  • medical research
  • pandemic
  • privacy
  • virus pneumonia
  • Biomedical Research
  • Computer Security
  • Coronavirus Infections
  • Humans
  • Information Dissemination
  • Internationality
  • Machine Learning
  • Pandemics
  • Pneumonia, Viral
  • Privacy

Cite this