A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset - Muntasir Nishat, Mirza; Faisal, Fahim; Jahan Ratul, Ishrak; Al-Monsur, Abdullah; Ar-Rafi, Abrar Mohammad; Nasrullah, Sarker Mohammad; Reza, Md Taslim; Khan, Md Rezaul Hoque (Scientific programming, 2022)
Keywords: Accuracy; Age; Algorithms; Cardiovascular disease; Classification; Classifiers; Comparative analysis; Creatinine; Data mining; Datasets; Decision trees; Ejection fraction; Family medical history; Heart failure; Machine learning; Medical prognosis; Muscles; Optimization; Oversampling; Patients; Resampling; Risk factors; Scaling; Support vector machines; Survivability; Survival