Using random forest for reliable classification and cost-sensitive learning for medical diagnosis.
Fan YangHua-zhen WangHong MiCheng-de LinWei-wen CaiPublished in: BMC Bioinform. (2009)
Keyphrases
- medical diagnosis
- cost sensitive learning
- random forest
- decision trees
- cost sensitive
- random forests
- class imbalance
- feature set
- probability estimation
- medical images
- classification accuracy
- misclassification costs
- ensemble methods
- ensemble classifier
- expert systems
- image classification
- active learning
- feature extraction
- missing values
- training set
- class distribution
- machine learning methods
- classification models
- machine learning
- high dimensionality
- classification algorithm
- benchmark datasets
- binary classification
- support vector machine svm
- training samples
- supervised learning
- feature vectors
- minority class