Machine Learning for Healthcare Systems : Foundations and Applications

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1: Investigation on Improving the Performance of Class-imbalanced Medical Health Datasets -- 1.1: Introduction -- 1.2: Problem Formulation -- 1.3: Techniques to Handle Imbalanced Datasets -- 1.3.1: Random undersampling (RUS) -- 1.3.2: Random oversampling (RUS) -- 1.3.3: Synthetic minority oversampling technique (SMOTE) -- 1.4: Classification Models -- 1.4.1: Naive Bayes