Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques - Hussain, Lal; Lone, Kashif Javed; Awan, Imtiaz Ahmed; Abbasi, Adeel Ahmed; Pirzada, Jawad-ur-Rehman (Waves in random and complex media, 2022)
Keywords: Classification; Classifiers; Congestive heart failure; decision tree; Feature extraction; Heart failure; Machine learning; multimodal features; Neural networks; Nonlinear dynamics; normal sinus rhythm; Oversampling; Regression analysis; Sensitivity; support vector machine; Support vector machines