Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

Journal: BMJ open
Published Date: Sep 15, 2017

Abstract

OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasing variance in care, making resource planning difficult and potentially increasing length of stay and mortality in some settings. Identifying patients who are likely to suffer unplanned ICU readmission could reduce the frequency of this adverse event.

Authors

  • Thomas Desautels
    Dascena Inc., Hayward, California, USA.
  • Ritankar Das
    Dascena, Inc, Hayward, California, USA.
  • Jacob Calvert
    Dascena Inc., Hayward, California, USA.
  • Monica Trivedi
    John V Farman Intensive Care Unit, Addenbrooke's Hospital, Cambridge, UK.
  • Charlotte Summers
    Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
  • David J Wales
    University Chemical Laboratories, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
  • Ari Ercole
    Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.

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