Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

Journal: The Annals of thoracic surgery
PMID: 32454016

Abstract

BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many lives, but it is associated with a high degree of patient morbidity, mortality, and resource use. This study aimed to develop a machine learning algorithm to augment clinical decision making related to VA-ECMO.

Authors

  • Brian Ayers
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York.
  • Katherine Wood
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York.
  • Igor Gosev
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York.
  • Sunil Prasad
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York. Electronic address: sunil_prasad@urmc.rochester.edu.

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