Mapping Cost-Sensitive Learning for Imbalanced Medical Data: Research Trends and Applications.
Imane ArafAli IdriIkram ChairiPublished in: KDIR (2023)
Keyphrases
- medical data
- cost sensitive learning
- imbalanced datasets
- class imbalance
- cost sensitive
- class distribution
- minority class
- medical images
- active learning
- misclassification costs
- multi class problems
- missing values
- rule extraction
- data mining
- probability estimation
- sampling methods
- multi class
- binary classification
- learning models
- data sets
- high dimensionality
- feature selection
- machine learning
- concept drift
- black box
- training data
- decision trees
- neural network