Incorporating Laboratory Values Into a Machine Learning Model Improves In-Hospital Mortality Predictions After Rapid Response Team Call.

Journal: Critical care explorations
Published Date: Jul 16, 2019

Abstract

OBJECTIVES: Machine learning models have been used to predict mortality among patients requiring rapid response team activation. The goal of our study was to assess the impact of adding laboratory values into the model.

Authors

  • Peter M Reardon
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Enea Parimbelli
    Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Szymon Wilk
    Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Wojtek Michalowski
    Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Kyle Murphy
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Jennifer Shen
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Brent Herritt
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Benjamin Gershkovich
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Peter Tanuseputro
    Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Kwadwo Kyeremanteng
    Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.

Keywords

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