Predicting breast cancer survivability using random forest and multivariate adaptive regression splines.
Dengju YaoJing YangXiaojuan ZhanPublished in: EMEIT (2011)
Keyphrases
- random forest
- breast cancer
- multivariate adaptive regression splines
- decision trees
- logistic regression
- breast cancer diagnosis
- diagnosis of breast cancer
- support vector regression
- survival analysis
- mammogram images
- computer aided diagnosis
- fold cross validation
- feature set
- cancer classification
- ensemble methods
- multi label
- bladder cancer
- ensemble classifier
- base classifiers
- breast cancer patients
- data mining
- training set
- pattern recognition
- genetic algorithm
- data sets