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1799 : Evaluating the Performance and External Validity of Machine Learning-Based Prediction Models in Liver Transplantation: An International Study

Researchers

Presenter

  • T. Ivanics

Principal Investigators

  • D. So

  • M. P. Claasen

  • D. Wallace

  • M. Patel

  • A. Gravely

  • K. Walker

  • T. Cowling

  • L. Erdman

  • G. Sapisochin

Medical Centers

  • University of Toronto, University Health Network, Toronto, Ontario, Canada

  • The Center for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada

  • Multi-Organ Transplant, University Health Network, Toronto, ON, Canada

  • Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom

  • Department of Surgery, Division of Surgical Transplantation, University of Texas Southwestern Medical Center, Dallas, TX

  • Multi-organ transplant program, University of Toronto - University Health Network, Toronto, ON, Canada

  • Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom

  • The Center for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada

Locations

  • Canada

  • United Kingdom

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • N/A

Disease

  • N/A

Biomarkers

  • Leukotrienes

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Multinational

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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