Predicting diabetes in imbalanced datasets using neural networks.
Hannah GuanChonghao ZhangPublished in: BCB (2022)
Keyphrases
- imbalanced datasets
- neural network
- cost sensitive learning
- learning from imbalanced data
- class distribution
- class imbalance
- sampling methods
- imbalanced data
- decision trees
- ensemble methods
- pattern recognition
- training dataset
- rule extraction
- fuzzy logic
- back propagation
- feature selection algorithms
- artificial neural networks
- multilayer perceptron
- cost sensitive
- nearest neighbor
- genetic algorithm
- random forest
- prediction accuracy
- feature selection