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The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation.
Vagefi, Parsia A; Bertsimas, Dimitris; Hirose, Ryutaro; Trichakis, Nikolaos.
Affiliation
  • Vagefi PA; Department of Surgery, UT Southwestern Medical Center, Dallas, Texas.
  • Bertsimas D; MIT Sloan School of Management, Cambridge, Massachusetts.
  • Hirose R; Department of Surgery, UCSF, San Francisco, California, USA.
  • Trichakis N; MIT Sloan School of Management, Cambridge, Massachusetts.
Curr Opin Organ Transplant ; 25(2): 122-125, 2020 04.
Article in En | MEDLINE | ID: mdl-32073494
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Full text: 1 Database: MEDLINE Main subject: Tissue and Organ Procurement / Liver Transplantation / End Stage Liver Disease / Machine Learning Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Year: 2020 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Tissue and Organ Procurement / Liver Transplantation / End Stage Liver Disease / Machine Learning Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Year: 2020 Type: Article