Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often diagnosed once decompensation with associated complications has occurred. Current non-invasive tests to detect advanced liver fibrosis have limited performance, with many indeterminate classifications. We aimed to identify patients with advanced liver fibrosis of all-causes using machine learning algorithms (MLAs).

Authors

  • Soren Sabet Sarvestany
    Department of Computer Science, University of Toronto, Toronto, ON, Canada; ICES, Toronto, ON, Canada; SickKids Research Institute, Toronto, ON, Canada.
  • Jeffrey C Kwong
    Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; ICES, Toronto, ON, Canada; Department of Health Protection, Public Health Ontario, ON, Canada.
  • Amirhossein Azhie
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Victor Dong
    Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada.
  • Orlando Cerocchi
    Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada.
  • Ahmed Fuad Ali
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Ravikiran S Karnam
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Hadi Kuriry
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Mohamed Shengir
    Division of Experimental Medicine, McGill University, Montreal, QC, Canada.
  • Elisa Candido
    ICES, Toronto, ON, Canada.
  • Raquel Duchen
    ICES, Toronto, ON, Canada.
  • Giada Sebastiani
    Division of Gastroenterology and Hepatology, McGill University Health Centre, McGill University, Montreal, QC, Canada.
  • Keyur Patel
    Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, University Health Network, Toronto, ON, Canada.
  • Anna Goldenberg
    SickKids Research Institute, 686 Bay Street, Toronto, ON M5G 0A4, Canada; Department of Computer Science, University of Toronto, 40 St. George Street, Toronto, ON M5S 2E4, Canada. Electronic address: anna.goldenberg@utoronto.ca.
  • Mamatha Bhat
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.