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Publications

Journal Article Systematic Review Ppublish 21 citations

PubMed: 37944114 DOI: 10.1097/ALN.0000000000004764

Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.

Anesthesiology 140(1):85-101

Authors: Pietro Arina, Maciej R Kaczorek, Daniel A Hofmaenner, Walter Pisciotta, Patricia Refinetti, Mervyn Singer, Evangelos B Mazomenos, John Whittle

Affiliations

  • Bloomsbury Institute of Intensive Care Medicine and Human Physiology and Performance Laboratory, Centre for Perioperative Medicine, Department of Targeted Intervention, University College London, London, United Kingdom.
  • Wellcome/EPSRC Centre of Interventional and Surgical Sciences and Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Bloomsbury Institute of Intensive Care Medicine, University College London, London, United Kingdom; and Institute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland.
  • Bloomsbury Institute of Intensive Care Medicine, University College London, London, United Kingdom.
  • Human Physiology and Performance Laboratory, Centre for Perioperative Medicine, Department of Targeted Intervention, University College London, London, United Kingdom.

MeSH

Anesthesiology, Machine Learning, Learning, Perioperative Medicine

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