Nature Communications (Feb 2021)

Real-time prediction of COVID-19 related mortality using electronic health records

  • Patrick Schwab,
  • Arash Mehrjou,
  • Sonali Parbhoo,
  • Leo Anthony Celi,
  • Jürgen Hetzel,
  • Markus Hofer,
  • Bernhard Schölkopf,
  • Stefan Bauer

DOI
https://doi.org/10.1038/s41467-020-20816-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 16

Abstract

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Identifying COVID-19 patients with the highest mortality risk early is critical to enable effective intervention and optimal prioritisation of care. Here, the authors present a clinical risk scoring system trained on a large data set of patients from 69 healthcare institutions in multiple countries.