Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting.
Andrew J. GoodwinSebastian GoodfellowDanny EytanRobert GreerMjaye MazwiPeter LaussenPublished in: CinC (2017)
Keyphrases
- gradient boosting
- feature extraction
- feature vectors
- classification accuracy
- feature set
- feature space
- single feature
- classification method
- classification models
- svm classifier
- atrial fibrillation
- extracted features
- feature selection
- decision trees
- benchmark datasets
- class labels
- machine learning
- feature reduction
- classification algorithm
- feature selection algorithms
- text classification
- support vector
- feature ranking
- ecg signals
- input features
- support vector machine
- training samples
- model selection
- gabor filters
- active learning
- cost sensitive
- training set
- multiple features
- high dimensionality
- global features
- loss function
- machine learning algorithms
- individual features
- heart rate variability
- image features