Classification of vibratory patterns of the upper airway during sleep.
Hisham AlshaerFrank RudziczTiago H. FalkWen-Hou TsengT. Douglas BradleyPublished in: EMBC (2013)
Keyphrases
- lung disease
- sleep stage
- pattern analysis
- classification scheme
- classification accuracy
- machine learning algorithms
- support vector
- pattern recognition
- feature vectors
- feature extraction
- feature selection
- pattern classification
- training patterns
- emerging patterns
- classification rate
- automatic classification
- neural network
- classification algorithm
- decision rules
- benchmark datasets
- image classification
- supervised learning
- classification method
- ct images
- quantitative analysis
- classification models
- model selection
- text classification
- discovering patterns
- support vector machine
- data sets
- jumping emerging patterns