Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes.
Valérie BourdèsStéphane BonnevayPaulo J. G. LisboaRémy DefranceDavid PérolSylvie ChabaudThomas BachelotThérèse GargiSylvie NégrierPublished in: Adv. Artif. Neural Syst. (2010)
Keyphrases
- logistic regression
- breast cancer
- classification models
- variable selection
- decision trees
- input variables
- logistic regression models
- artificial neural networks
- feature selection
- survival analysis
- support vector
- cross validation
- high dimensional
- naive bayes
- training data
- dimension reduction
- model selection
- feature set
- neural network
- loss function
- multi layer perceptron
- classification accuracy
- regression model
- training set
- medical data
- high dimensional data
- statistical analysis
- low dimensional