Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.

Journal: Clinical kidney journal
Published Date: Sep 30, 2020

Abstract

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a model for predicting AKI in the ICU using patient data present prior to ICU admission.

Authors

  • Khaled Shawwa
    Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Erina Ghosh
    Philips Research North America, Cambridge, MA, USA.
  • Stephanie Lanius
    Philips Research North America, Cambridge, MA, USA.
  • Emma Schwager
    Philips Research North America, Cambridge, MA, USA.
  • Larry Eshelman
    Philips Research North America, Cambridge, MA, USA.
  • Kianoush B Kashani
    Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.

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