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

Intensive Care Med. 2020 Jul;46(7):1486-1488. doi: 10.1007/s00134-020-06045-y. Epub 2020 May 12.

Lucas M Fleuren^{1

2}, Patrick Thoral³, Duncan Shillan⁴, Ari Ercole^{5

6}, Paul W G Elbers^{3

6}; Right Data Right Now Collaborators

Right Data Right Now Collaborators:
Mark Hoogendoorn, Ben Gibbison, Thomas L T Klausch, Tingjie Guo, Luca F Roggeveen, Eleonora L Swart, Armand R J Girbes

¹ Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
² Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
³ Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
⁴ NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
⁵ Division of Anaesthesia, University of Cambridge, Cambridge, UK.
⁶ Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium.

No abstract available

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