Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method.
Esra Mahsereci KarabulutTurgay IbrikciPublished in: J. Medical Syst. (2012)
Keyphrases
- ensemble methods
- rotation forest
- random forest
- ensemble classifier
- prediction accuracy
- base classifiers
- benchmark datasets
- decision trees
- coronary artery disease
- machine learning methods
- ensemble learning
- subspace methods
- generalization ability
- clinical diagnosis
- cardiovascular disease
- classifier ensemble
- clinical setting
- diagnostic process
- medical diagnosis
- multi label
- data mining
- straight forward
- training data