A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation.
Jafar AbdollahiBabak Nouri-MoghaddamPublished in: Iran J. Comput. Sci. (2022)
Keyphrases
- hybrid method
- ensemble classifier
- disease diagnosis
- feature selection
- support vector machine
- heart disease
- ensemble learning
- classification models
- random forest
- hybrid algorithm
- concept drift
- comparative analysis
- preprocessing step
- multi class
- base classifiers
- machine learning
- feature extraction
- fusion method
- support vector
- ensemble methods
- feature space
- medical diagnosis
- text classification
- classification accuracy
- support vector machine svm
- text categorization
- differential evolution
- weak classifiers
- feature set
- training set
- early diagnosis
- prediction accuracy
- generalization ability
- feature subset
- classification algorithm
- knn
- evolutionary algorithm
- image analysis
- preprocessing
- training data
- similarity measure
- decision trees
- image processing
- computer vision