Self-evaluated automatic classifier as a decision-support tool for sleep/wake staging.
Sylvie CharbonnierLukás ZoubekSuzanne LesecqFlorian ChapototPublished in: Comput. Biol. Medicine (2011)
Keyphrases
- fold cross validation
- training data
- neural network
- data sets
- sleep apnea
- classification process
- classification rate
- classification scheme
- fully automatic
- training samples
- data driven
- support vector
- decision trees
- feature selection
- learning algorithm
- machine learning
- data points
- training set
- class labels
- classification algorithm
- feature space
- lung cancer