Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

Journal: Artificial intelligence in medicine
Published Date: Dec 30, 2014

Abstract

INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupied beds available.

Authors

  • Rein Houthooft
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium. Electronic address: rein.houthooft@intec.ugent.be.
  • Joeri Ruyssinck
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Joachim van der Herten
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Sean Stijven
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Ivo Couckuyt
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Bram Gadeyne
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium; Department of Intensive Care Medicine, Ghent University Hospital, De Pintelaan 185, 2 K12 IC, B-9000 Ghent, Belgium.
  • Femke Ongenae
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Kirsten Colpaert
    Department of Intensive Care Medicine, Ghent University Hospital, De Pintelaan 185, 2 K12 IC, B-9000 Ghent, Belgium.
  • Johan Decruyenaere
    Department of Intensive Care Medicine, Ghent University Hospital, De Pintelaan 185, 2 K12 IC, B-9000 Ghent, Belgium; Department of Internal Medicine, Ghent University, De Pintelaan 185, B-9000 Ghent, Belgium.
  • Tom Dhaene
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Filip De Turck
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.

Keywords

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