Improving Coronary Artery Disease Prediction: Use of Random Forest, Feature Importance and Case-Based Reasoning.
Fouad HenniBaghdad AtmaniFatiha AtmaniFatima SaadiPublished in: Int. J. Decis. Support Syst. Technol. (2023)
Keyphrases
- feature importance
- random forest
- case based reasoning
- coronary artery disease
- prediction accuracy
- decision trees
- clinical setting
- ensemble methods
- ensemble classifier
- feature set
- ensemble learning
- expert systems
- clinical practice
- computed tomography
- multi label
- clinical diagnosis
- diagnostic process
- support vector machine
- base classifiers
- ct images
- decision support system
- high dimensional