Performance Evaluation and Comparison of Ensemble Based Bagging and Boosting Machine Learning Methods for Automated Early Prediction of Myocardial Infarction.
Md. Azizul HakimNusrat JahanZannat Ara ZerinAmena Begum FarhaPublished in: ICCCNT (2021)
Keyphrases
- ensemble methods
- prediction accuracy
- ensemble learning
- ensemble classifier
- myocardial infarction
- base classifiers
- ensemble classification
- base learners
- random forests
- majority voting
- ensemble members
- weak classifiers
- decision trees
- classifier ensemble
- decision tree ensembles
- generalization ability
- random forest
- weak learners
- benchmark datasets
- negative correlation learning
- randomized trees
- gradient boosting
- machine learning methods
- weighted voting
- left ventricular
- decision stumps
- learning algorithm
- imbalanced data
- naive bayes
- multi class
- feature selection
- machine learning
- magnetic resonance images
- concept drift
- training set
- fully automatic
- semi automatic
- computer vision