A hybrid cost-sensitive ensemble for heart disease prediction.
Qi ZhenyaZuo-Ru ZhangPublished in: BMC Medical Informatics Decis. Mak. (2021)
Keyphrases
- cost sensitive
- heart disease
- cost sensitive learning
- base classifiers
- multi class
- misclassification costs
- binary classification
- prediction accuracy
- active learning
- cost sensitive classification
- class distribution
- class imbalance
- medical diagnosis
- ensemble methods
- naive bayes
- neural network
- training set
- learning algorithm
- classification error
- medical images
- supervised learning
- support vector machine
- boosting algorithms
- data streams