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

Right Data Right Now Collaborators

Research output: Contribution to JournalComment / Letter to the editorAcademic

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Original languageEnglish
Pages (from-to)1486-1488
Number of pages3
JournalIntensive Care Medicine
Volume46
Issue number7
Early online date12 May 2020
DOIs
Publication statusPublished - Jul 2020

Funding

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.

FundersFunder number
AI&II
Amsterdam Cardiovascular Sciences
Amsterdam Infection and Immunity Institute
Amsterdam UMC
Department of Epidemiology and Biostatistics
Department of Intensive Care Medicine, Research VUmc Intensive Care
Division of Anaesthesia, University of Cambridge
NIHR Bristol Biomedical Research Centre
University of Bristol
European Society of Intensive Care Medicine

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