Nature Communications (Nov 2022)

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

  • Todd J. Levy,
  • Kevin Coppa,
  • Jinxuan Cang,
  • Douglas P. Barnaby,
  • Marc D. Paradis,
  • Stuart L. Cohen,
  • Alex Makhnevich,
  • David van Klaveren,
  • David M. Kent,
  • Karina W. Davidson,
  • Jamie S. Hirsch,
  • Theodoros P. Zanos

DOI
https://doi.org/10.1038/s41467-022-34646-2
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Despite rapid and significant changes during the pandemic, prognostic models for COVID-19 patients do not currently account for data drifts. Here, the authors develop a framework for continuously monitoring and updating prognostic models and applied it to predict 28-day survival in COVID-19 patients.