Evolutionary assembled neural networks for making medical decisions with minimal regret: Application for predicting advanced bladder cancer outcome - Vukicevic, Arso M.; Jovicic, Gordana R.; Stojadinovic, Miroslav M.; Prelevic, Rade I.; Filipovic, Nenad D. (Expert systems with applications, 2014)
Keywords: Animal tumors. Experimental tumors; Applied sciences; Artificial intelligence; Artificial Neural Network; Biological and medical sciences; Bladder cancer; Calibration; Computer science; control theory; systems; Computerized, statistical medical data processing and models in biomedicine; Connectionism. Neural networks; Decisions; Evolutionary; Exact sciences and technology; Experimental renal and urinary tract tumors; Expert systems; Genetic Algorithms; Information systems. Data bases; Learning theory; Mathematical models; Medical management aid. Diagnosis aid; Medical sciences; Memory organisation. Data processing; Neural networks; Optimization; Regret Theory; Software; Tumors; Artificial Neural Network; Bladder cancer; Expert systems; Genetic Algorithms; Regret Theory; Measurement; Input output; Evolutionary algorithm; Epidemiology; Modeling; Goal programming; Urinary bladder; Cohort study; Medical application; High performance; Probabilistic approach; Decision support system; Health staff; Decision making; Calibration; Neural network; Decision analysis; Experimental study; Forecasting; Standards; Discrimination; Genetic algorithm; Follow up study; Activation function