Machine Learning from Veno-Venous Extracorporeal Membrane Oxygenation Identifies Factors Associated with Neurological Outcomes.

Journal: Lung
PMID:

Abstract

BACKGROUND: Neurological complications are common in patients receiving veno-venous extracorporeal membrane oxygenation (VV-ECMO) support. We used machine learning (ML) algorithms to identify predictors for neurological outcomes for these patients.

Authors

  • Albert Leng
    Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Benjamin Shou
    Division of Cardiac Surgery, Department of Surgery, Heart and Vascular Institute, Johns Hopkins University School of Medicine, Baltimore, USA.
  • Olivia Liu
    Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, USA.
  • Preetham Bachina
    From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (P.B., S.P.G., P.K., A.K., V.S.P., P.H.Y.); Johns Hopkins University School of Medicine, Baltimore, Md (P.B.); Uniformed Services University of the Health Sciences, Bethesda, Md (S.P.G.); and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Md (J.S.).
  • Andrew Kalra
    Division of Cardiac Surgery, Department of Surgery, Heart and Vascular Institute, Johns Hopkins University School of Medicine, Baltimore, USA.
  • Errol L Bush
    Division of Thoracic Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, USA.
  • Glenn J R Whitman
    Division of Cardiac Surgery, Department of Surgery, Heart and Vascular Institute, Johns Hopkins University School of Medicine, Baltimore, USA.
  • Sung-Min Cho
    Divisions of Neurosciences Critical Care and Cardiac Surgery, Departments of Neurology, Surgery, Anesthesiology and Critical Care Medicine and Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 455, Baltimore, MD, 21287, USA. csungmi1@jhmi.edu.