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: Using Machine Learning to Predict Post-Hepatectomy Liver Failure and Postoperative Complications in an International Cohort of Major Hepatectomies

Researchers

Presenter

  • N. Rashidian

Principal Investigators

  • J. Wang

  • L. Calthorpe

  • J. Lee

  • A.B. Cacciaguerra

  • P. Conroy

  • T. Hibi

  • D. Hoffman

  • S. Majumdar

  • K.M. Park

  • V. Pedoia

  • M.A. Adam

  • M. Abu Hilal

  • A. Alseidi

Medical Centers

  • University Hospital Southampton NHS Trust, Department of Surgery, Southampton, United Kingdom

  • University of California San Francisco, Department of Radiology and Biomedical Imaging, San Francisco, United States

  • University of California San Francisco, Division of Plastic Surgery, Department of Surgery, San Francisco, United States

  • Ghent University Hospital, Department of GI Surgery, Ghent, Belgium

  • Kumamoto University Graduate School of Medical Sciences, Department of Pediatric Surgery and Transplantation, Kumamoto, Japan

  • University of California San Francisco School of Medicine, San Francisco, CA

  • Poliambulanza Foundation Hospital, Department of Surgery, Brescia, Italy

Locations

  • United Kingdom

  • Japan

  • United States

  • Italy

  • Belgium

Companies

  • N/A

Study Components

Therapeutic Area

  • N/A

Disease

  • N/A

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Multinational

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final

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