Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks - Cruz-Ramírez, Manuel; Hervás-Martínez, César; Fernández, Juan Carlos; Briceño, Javier; de la Mata, Manuel (Artificial intelligence in medicine, 2013)
Keywords: Algorithms; Applied sciences; Artificial intelligence; Biological and medical sciences; Computer science; control theory; systems; Connectionism. Neural networks; Data processing. List processing. Character string processing; Decision Support Systems, Clinical; Exact sciences and technology; Graft Survival; Humans; Internal Medicine; Learning and adaptive systems; Liver transplantation; Liver Transplantation - statistics & numerical data; Liver, biliary tract, pancreas, portal circulation, spleen; Making decisions rule-based; Medical sciences; Memory organisation. Data processing; Models, Statistical; Multi-objective evolutionary algorithm; Neural Networks (Computer); Organ allocations; Other; Prognosis; Radial basis function neural networks; Reproducibility of Results; Software; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases; Surgery of the digestive system; Tissue and Organ Procurement - methods; Waiting Lists; Radial basis function neural networks; Multi-objective evolutionary algorithm; Making decisions rule-based; Organ allocations; Liver transplantation; Measurement; Error estimation; Evolutionary algorithm; Liver; Expert system; Multiobjective programming; Entropy; Transplantation; Modeling; Memetic algorithm; Optimal allocation; Efficiency; Classification; Hospital; Inference rule; Medical application; Probabilistic approach; Dominating set; Pareto optimum; Root; Decision making; Knowledge base; Neural network; Survival; Decision rule; Radial basis function; Genetic algorithm; Receiver operating characteristic curves; Metric; Artificial intelligence