Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques.
Sohaib AsifWenhui YiQurrat Ul AinYi YueyangJinhai SiPublished in: Clust. Comput. (2024)
Keyphrases
- ensemble methods
- prediction accuracy
- coronary heart disease
- generalization ability
- uci data sets
- decision trees
- ensemble members
- benchmark datasets
- machine learning methods
- individual classifiers
- random forests
- base classifiers
- rotation forest
- random forest
- ensemble learning
- classification accuracy
- image classification
- classifier ensemble
- data sets
- cluster ensemble
- data mining
- cross validation
- genetic algorithm
- machine learning algorithms
- evolutionary algorithm