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COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning.

Anna Laura HerzogHolger K von Jouanne-DiedrichChristoph WannerDirk WeismannTobias SchlesingerPatrick MeybohmJan Stumpner
Published in: PloS one (2021)
Different ML methods and their clinical application, especially decision trees, can provide valuable support for clinical decisions. Presence of proteinuria was not predictive of CKD or AKI and should be confirmed in a larger cohort.
Keyphrases
  • coronavirus disease
  • sars cov
  • acute kidney injury
  • chronic kidney disease
  • respiratory syndrome coronavirus