Machine learning in intensive care medicine: ready for take-off?

Abstract

Authors

• Lucas M Fleuren
  Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
• Patrick Thoral
  Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
• Duncan Shillan
  NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
• Ari Ercole
  Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
• Paul W G Elbers
  Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Keywords

External Resources