Early diagnosis of coronary artery disease by SVM, decision tree algorithms and ensemble methods.
Marziye NarangifardHooman TahayoriHamid Reza GhaedsharafMehrdad TirandazianPublished in: Int. J. Medical Eng. Informatics (2022)
Keyphrases
- ensemble methods
- early diagnosis
- cardiovascular disease
- svm classification
- decision trees
- binary classification
- support vector machine svm
- prediction accuracy
- support vector
- support vector machine
- medical diagnosis
- ensemble classifier
- decision tree learning
- ensemble learning
- random forest
- machine learning methods
- base classifiers
- computer aided
- svm classifier
- early stage
- benchmark datasets
- risk factors
- multi class
- training set
- kernel function
- computer aided diagnosis
- logistic regression
- knn
- early detection
- feature selection
- classification accuracy
- classification method
- loss function
- coronary artery
- pattern recognition
- training data
- machine learning
- feature subset
- classification algorithm
- support vectors
- machine learning algorithms
- k nearest neighbor
- feature vectors
- prostate cancer