Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset.
Durgadevi VelusamyKarthikeyan RamasamyPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- feature subset
- coronary artery disease
- ensemble methods
- ensemble classifier
- feature selection
- clinical diagnosis
- feature ranking
- feature subset selection
- diagnostic process
- classification models
- cardiovascular disease
- classification accuracy
- ensemble learning
- feature set
- weak classifiers
- optimal subset of features
- feature selection algorithms
- clinical setting
- individual features
- prediction accuracy
- svm classifier
- random forest
- myocardial perfusion
- medical diagnosis
- base classifiers
- feature space
- training data
- genetic algorithm ga
- model based diagnosis
- decision trees
- support vector
- text classification
- training set
- coronary artery
- genetic algorithm
- support vector machine
- clinical practice
- model selection
- machine learning
- medical knowledge
- generalization ability
- decision support system
- naive bayes
- learning algorithm