Predicting Coronary Artery Disease from Heart Rate Variability Using Classification and Statistical Analysis.
Heon Gyu LeeKiyong NohHong Kyu ParkKeun Ho RyuPublished in: CIT (2007)
Keyphrases
- heart rate variability
- statistical analysis
- coronary artery disease
- pattern recognition
- classification algorithm
- classification accuracy
- image classification
- classification models
- text classification
- decision trees
- feature extraction
- feature space
- classification method
- decision rules
- support vector machine svm
- spectral analysis
- feature vectors
- computer vision
- myocardial perfusion
- cross validation
- machine learning algorithms
- non stationary
- decision support system
- support vector machine
- support vector
- face recognition
- feature selection