Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem-Reference-Cited by-同舟云学术

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Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem

Published:2017-03 Issue: Volume:77 Page:1-11
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Dorado-Moreno Manuel^ORCID,Pérez-Ortiz María,Gutiérrez Pedro A.^ORCID,Ciria Rubén,Briceño Javier,Hervás-Martínez César

Funder

Spanish Ministerial Commission of Science and Technology (MINECO, Spain)

FEDER funds (EU)

FPU Predoctoral Program of the Spanish Ministry of Education, Culture and Sport (MECD)

Astellas Pharma Company

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference55 articles.

1. Characteristics associated with liver graft failure: the concept of a donor risk index;Feng;Am J Transplant,2006

2. The Model for End-stage Liver Disease (MELD);Kamath;Hepatology,2007

3. Survival outcomes following liver transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation;Rana;Am J Transplant,2008

4. Are there better guidelines for allocation in liver transplantation? A novel score targeting justice and utility in the model for end-stage liver disease era;Dutkowski;Ann Surg,2011

5. Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants;Cruz-Ramírez;Eur J Oper Res,2012

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