Decision tree for smart feature extraction from sleep HR in bipolar patients.
Matteo MiglioriniSara MarianiAnna M. BianchiPublished in: EMBC (2013)
Keyphrases
- feature extraction
- decision trees
- obstructive sleep apnea
- sleep apnea
- positive and negative
- physiological parameters
- image processing
- preprocessing
- decision tree induction
- sleep stage
- machine learning algorithms
- discriminant analysis
- clinical data
- extracted features
- wavelet transform
- linear discriminant analysis
- multivariate decision trees
- feature selection
- principal component analysis
- feature vectors
- logistic regression
- low resolution
- decision tree learning
- dimension reduction
- predictive accuracy
- random forest
- machine learning
- linear feature extraction
- feature extractors
- decision tree classifiers
- decision tree algorithm
- smart grid
- naive bayes
- feature space
- pattern classification
- texture features
- dimensionality reduction
- training set
- feature set
- clinical trials
- gabor filters
- image classification
- support vector machine svm
- training data
- smart environments
- medical center
- classification trees
- high risk
- high density
- texture analysis
- frequency domain