Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation

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Research areas:
Year:
2011
Type of Publication:
In Proceedings
Authors:
Volume:
II
Book title:
11th international conference on Artificial neural networks conference (IWANN'11)
Series:
Advances in Computational Intelligence
Pages:
129-136
ISBN:
978-3-642-21497-4
Abstract:
Donor-Recipient matching constitutes a complex scenario not easily modelable. The risk of subjectivity and the likelihood of falling into error must not be underestimated. Computational tools for decisionmaking process in liver transplantation can be useful, despite its inherent complexity. Therefore, a Multi-Objective Evolutionary Algorithm and various techniques of selection of individuals are used in this paper to obtain Artificial Neural Network models to assist in making decisions. Thus, the experts will have a mathematical value that enables them to make a right decision without deleting the principles of justice, efficiency and equity.
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