Automatic Sleep Arousals Detection From Polysomnography Using Multi-Convolution Neural Network and Random Forest.
Yitian LiuHongxing LiuBufang YangPublished in: IEEE Access (2020)
Keyphrases
- random forest
- neural network
- random forests
- decision trees
- apnea hypopnea
- feature set
- ensemble methods
- artificial neural networks
- fold cross validation
- feature importance
- genetic algorithm
- sleep stage
- multi label
- ensemble learning
- rotation forest
- decision tree learning algorithms
- test data
- genetic algorithm ga
- higher order
- classification accuracy
- data mining