An end stage kidney disease predictor based on an artificial neural networks ensemble.
Tommaso Di NoiaVito Claudio OstuniFrancesco PesceGiulio BinettiDavid NasoFrancesco Paolo SchenaEugenio Di SciascioPublished in: Expert Syst. Appl. (2013)
Keyphrases
- artificial neural networks
- neural network
- using artificial neural networks
- back propagation
- final stage
- neural network model
- disease diagnosis
- genetic algorithm ga
- genetic algorithm
- computational intelligence
- ann models
- early detection
- application of artificial neural networks
- multilayer perceptron
- ensemble methods
- ensemble learning
- evolutionary artificial neural networks
- training set
- feed forward
- radial basis function
- multiple sclerosis
- prediction accuracy
- diagnostic tool
- training data
- diagnostic process
- feature selection
- negative correlation learning
- machine learning