A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification.
Pham Quang HuyAlioune NgomLuis RuedaPublished in: BIBM (2016)
Keyphrases
- breast cancer
- bladder cancer
- feature selection
- classification models
- breast cancer diagnosis
- survival analysis
- computer aided detection
- outcome prediction
- mammogram images
- classification accuracy
- support vector
- early detection
- logistic regression
- feature extraction
- text classification
- model selection
- roc analysis
- feature set
- predictive modeling
- feature space
- high dimensionality
- diagnosis of breast cancer
- machine learning
- support vector machine svm
- breast tissue
- decision support system
- support vector machine
- computer aided diagnosis
- data mining
- regression model
- cancer diagnosis
- imputation methods
- pairwise
- decision trees
- prognostic factors
- microcalcification clusters