Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval.
Saeed ShakibfarClaus GraffLars Holger EhlersEgon ToftJørgen K. KantersJohannes J. StruijkPublished in: Comput. Biol. Medicine (2012)
Keyphrases
- classification method
- benchmark datasets
- machine learning methods
- preprocessing
- machine learning algorithms
- classification systems
- support vector
- classification scheme
- support vector machine
- training samples
- computational cost
- active learning
- benchmark data sets
- automatic classification
- terms of classification accuracy
- discriminative learning
- classification schemes
- cross validation
- multiclass classification
- learning algorithm
- unsupervised learning
- decision trees