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

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Right data right now collaborators

Mark Hoogendoorn, PhD (2), Ben Gibbison, MD (3), Thomas L.T. Klausch, PhD (6), Tingjie Guo, MSc (1), Luca F. Roggeveen, MD (1,2), Eleonora L. Swart, PhD (7), Armand R.J. Girbes, MD, PhD, EDIC (1); (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, The Netherlands; (2) Computational Intelligence Group, Department of Computer Science, VU Amsterdam, The Netherlands; (3) NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK; (4) Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom; (5) Data Science Section, European Society of Intensive Care Medicine; (6) Department of Epidemiology and Biostatistics, Amsterdam UMC, location VUmc, VU Amsterdam, The Netherlands; (7) Department of Pharmacy, Amsterdam UMC, location VUmc, VU Amsterdam, The Netherlands.

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Correspondence to Lucas M. Fleuren.

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Fleuren, L.M., Thoral, P., Shillan, D. et al. Machine learning in intensive care medicine: ready for take-off?. Intensive Care Med 46, 1486–1488 (2020).

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