Ensemble SVM for imbalanced data and missing values in postoperative risk management.
Maciej ZiebaJerzy SwiatekPublished in: Healthcom (2013)
Keyphrases
- imbalanced data
- missing values
- risk management
- ensemble methods
- missing data
- support vector machine
- decision support system
- svm classifier
- ensemble classifier
- linear regression
- feature selection
- random forest
- cost sensitive learning
- incomplete data
- class distribution
- high dimensional data
- minority class
- class imbalance
- sampling methods
- ensemble learning
- base classifiers
- support vector
- support vector machine svm
- decision trees
- machine learning
- classification models
- training data
- generalization ability
- data analysis
- training set
- high dimensionality
- active learning
- k nearest neighbor
- prediction accuracy