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  • [\'F. Hoffmann-La Roche Ltd, Basel, Switzerland. patrick.schwab@icloud.com.\', \'Max Planck Institute for Intelligent Systems, Tübingen, Germany.\', \'ETH Zurich, Zurich, Switzerland.\', \'John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, USA.\', \'Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.\', \'MIT Critical Data, Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Harvard-MIT Health Sciences and Technology, Cambridge, USA.\', \'Department of Medical Oncology and Pneumology, University Hospital of Tübingen, Tübingen, Germany.\', \'Department of Pneumology, Kantonsspital Winterthur, Winterthur, Switzerland.\', \'CIFAR Azrieli Global Scholar, Toronto, Canada.\']
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  • 10.1038/s41467-020-20816-7
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  • Nature communications
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  • 33594046
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  • 198
?:title
  • Real-time prediction of COVID-19 related mortality using electronic health records.
?:type
?:year
  • 2021

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