A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.
Tanapol KosolwattanaChenang LiuRenjie HuShizhong HanHua ChenYing LinPublished in: BioData Min. (2023)
Keyphrases
- classification algorithm
- input data
- data sets
- support vector machine svm
- imbalanced data sets
- data distribution
- classification accuracy
- learning algorithm
- feature vectors
- training data
- feature extraction
- semi supervised
- small number
- active learning
- missing values
- high dimensionality
- original data
- class distribution
- decision trees
- highly imbalanced