A Stacking Ensemble Prediction Model for the Occurrences of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome on Imbalanced Data.
Huilin ZhengSyed Waseem Abbas SheraziJong Yun LeePublished in: IEEE Access (2021)
Keyphrases
- acute coronary syndrome
- imbalanced data
- prediction model
- patient data
- base classifiers
- ensemble learning
- ensemble methods
- regression model
- neural network
- class distribution
- linear regression
- long term
- artificial neural networks
- decision trees
- classification models
- random forest
- support vector machine
- bp neural network
- ensemble classifier
- feature selection
- class imbalance
- clinical data
- random forests
- sampling methods
- prediction accuracy
- medical data
- base learners
- semi supervised