Application of Machine Learning to Sleep Stage Classification.
Andrew SmithHardik AnandSnezana MilosavljevicKatherine M. RentschlerAna PocivavsekHomayoun ValafarPublished in: CoRR (2021)
Keyphrases
- sleep stage
- sleep apnea
- automatic classification
- pattern recognition
- support vector machine svm
- classification scheme
- support vector
- classification systems
- classification accuracy
- support vector machine
- feature extraction
- decision trees
- classification algorithm
- automated classification
- classification process
- pattern classification
- feature selection
- text classification
- training set
- preprocessing
- training samples
- cross validation
- unsupervised learning
- classification models
- image classification
- supervised learning
- pairwise
- accurate classification
- correct classification
- training data
- real time