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

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References

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Acknowledgments

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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Authors and Affiliations

  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

    Lucas M. Fleuren, Patrick Thoral & Paul W. G. Elbers

  2. Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands

    Lucas M. Fleuren

  3. NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK

    Duncan Shillan

  4. Division of Anaesthesia, University of Cambridge, Cambridge, UK

    Ari Ercole

  5. Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium

    Ari Ercole & Paul W. G. Elbers

Authors
  1. Lucas M. Fleuren
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  2. Patrick Thoral
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  3. Duncan Shillan
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  4. Ari Ercole
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  5. Paul W. G. Elbers
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Consortia

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

Corresponding author

Correspondence to Lucas M. Fleuren.

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The authors declare that they have no conflict of interest.

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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). https://doi.org/10.1007/s00134-020-06045-y

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  • DOI: https://doi.org/10.1007/s00134-020-06045-y

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