A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

Journal: PloS one
Published Date: Jan 1, 2017

Abstract

BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate prediction models.

Authors

  • Jérôme Allyn
    Réanimation Polyvalente, Centre Hospitalier Universitaire Félix Guyon, Saint-Denis, France.
  • Nicolas Allou
    Réanimation Polyvalente, Centre Hospitalier Universitaire Félix Guyon, Saint-Denis, France.
  • Pascal Augustin
    Département d'Anesthésie Réanimation, APHP, CHU Bichat-Claude Bernard, Paris, France.
  • Ivan Philip
    Département d'Anesthésie Réanimation, APHP, CHU Bichat-Claude Bernard, Paris, France.
  • Olivier Martinet
    Réanimation Polyvalente, Centre Hospitalier Universitaire Félix Guyon, Saint-Denis, France.
  • Myriem Belghiti
    Réanimation Polyvalente, Centre Hospitalier Universitaire Félix Guyon, Saint-Denis, France.
  • Sophie Provenchere
    Département d'Anesthésie Réanimation, APHP, CHU Bichat-Claude Bernard, Paris, France.
  • Philippe Montravers
    Département d'Anesthésie Réanimation, APHP, CHU Bichat-Claude Bernard, Paris, France.
  • Cyril Ferdynus
    Unité de Soutien Méthodologique, CHU de La Réunion, Saint-Denis, France.

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