Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients

Authors:
Manuel Cruz-Ramírez;Juan Carlos Fernández Caballero;Francisco Fernández Navarro;Javier Briceño;Manuel de la Mata;César Hervás-Martínez
Affiliations:
University of Córdoba, Córdoba, Spain;University of Córdoba, Córdoba, Spain;University of Córdoba, Córdoba, Spain;Hospital Doña Sofía, Córdoba, Spain;Hospital Doña Sofía, Córdoba, Spain;University of Córdoba, Córdoboa, Spain
Venue:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Year:
2011

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Abstract

In liver transplantation, matching donor and recipient is a problem that can be solved using machine learning techniques. In this paper we consider a liver transplant dataset obtained from eleven Spanish hospitals, including the patient survival or the rejection in liver transplantation one year after it. To tackle this problem, we use a multi-objective evolutionary algorithm for training generalized radial basis functions neural networks. The obtained models provided medical experts with a mathematical value to predict survival rates allowing them to come up with a right decision according to the principles of justice, efficiency and equity.