Using the Shapes of Clinical Data Trajectories to Predict Mortality in ICUs.

Journal: Critical care explorations
Published Date: Apr 17, 2019

Abstract

UNLABELLED: 1) To show how to exploit the information contained in the trajectories of time-varying patient clinical data for dynamic predictions of mortality in the ICU; and 2) to demonstrate the additional predictive value that can be achieved by incorporating this trajectory information.

Authors

  • Junchao Ma
    School of Management, Yale University, New Haven, CT.
  • Donald K K Lee
    Goizueta Business School, Emory University, Atlanta, GA.
  • Michael E Perkins
    Hartford Hospital, Hartford, CT.
  • Margaret A Pisani
    Yale New Haven Hospital Pulmonary and Critical Care Medicine, New Haven, CT.
  • Edieal Pinker
    School of Management, Yale University, New Haven, CT.

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