A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset

• Published in: Scientific programming Vol. 2022; pp. 1 - 17
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: New York Hindawi 09.03.2022; John Wiley & Sons, Inc
• Subjects: 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

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the body due to impaired contractile properties of the muscles of the heart. Like any other cardiac disorder, heart failure is a serious ailment limiting the activities and curtailing the lifespan of the patient...