Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks.

Journal: Artificial intelligence in medicine
Published Date: Jun 1, 2019

Abstract

INTRODUCTION: Blood cultures are often performed in the intensive care unit (ICU) to detect bloodstream infections and identify pathogen type, further guiding treatment. Early detection is essential, as a bloodstream infection can give cause to sepsis, a severe immune response associated with an increased risk of organ failure and death.

Authors

  • Tom Van Steenkiste
  • Joeri Ruyssinck
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Leen De Baets
    Ghent University - imec, IDLab, Department of Information Technology, Technologiepark 15, B-9052, Ghent, Belgium. Electronic address: leen.debaets@ugent.be.
  • 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.
  • Filip De Turck
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Femke Ongenae
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.
  • Tom Dhaene
    Department of Information Technology (INTEC), Ghent University - iMinds, Gaston Crommenlaan 8, B-9050 Ghent, Belgium.

Keywords

External Resources

Popular Topics
Recent Journals