Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.

Journal: Journal of hepatology
Published Date: May 28, 2025

Abstract

BACKGROUND & AIMS: Many clinical questions, such as estimating survival differences between living donor (LDLT) and deceased donor liver transplantation (DDLT), are limited to observational studies and cannot be answered through randomized controlled trials (RCTs). Thus, we developed Decision Path Similarity Matching (DPSM), a novel machine learning (ML)-based algorithm that simulates RCT-like conditions to mitigate confounders in observational data.

Authors

  • Anirudh Gangadhar
    Texas Tech University, Department of Chemical Engineering, Lubbock, Texas, United States.
  • Bima J Hasjim
    Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Orange, USA.
  • Xun Zhao
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Yingji Sun
    Ajmera Transplant Centre, University Health Network, Toronto, Ontario, Canada.
  • Joseph Chon
    Transplant AI initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada.
  • Aman Sidhu
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Elmar Jaeckel
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Nazia Selzner
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Mark S Cattral
    Transplant AI initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Blayne A Sayed
    Transplant AI initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada.
  • Michael Brudno
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Chris McIntosh
  • Mamatha Bhat
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.

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