A CBR framework with gradient boosting based feature selection for lung cancer subtype classification.
Juan RamosDaniel López SánchezJosé A. Castellanos-GarzónJuan Francisco de PazJuan M. CorchadoPublished in: Comput. Biol. Medicine (2017)
Keyphrases
- feature selection
- lung cancer
- machine learning
- classification accuracy
- classification models
- text classification
- feature extraction
- feature space
- gradient boosting
- support vector
- feature vectors
- support vector machine
- case based reasoning
- machine learning methods
- learning algorithm
- loss function
- support vector machine svm
- model selection
- feature set
- expert systems
- logistic regression
- feature subset
- dimensionality reduction
- multi task
- high dimensional
- survival prediction