7 Part 3 ALGORITHMIC TECHNIQUES FOR HANDLING PANDEMIC 11 A Hybrid Metaheuristic Algorithm for Intelligent Nurse Scheduling 11.1 Introduction 11.2 Methodology 11.3 Computational Results 11.4 Conclusion References 12 Multi-Purpose Robotic Sensing Device for Healthcare Services 12.1 Introduction 12.2 Background and Objectives 12.3 The Functioning of Multi-Purpose Robot 12.4 Discussion and Conclusions References 13 Prevalence of Internet of Things in Pandemic 13.1 Introduction 13.2 What is IoT? 13.3 Various Models Proposed for Managing a Pandemic Like COVID-19 Using IoT 13.4 Global Technological Developments to Overcome Cases of COVID-19 13.5 Results & Discussions 13.6 Conclusion References 14 Mathematical Insight of COVID-19 Infection—A Modeling Approach 14.1 Introduction 14.2 Epidemiology and Etiology 14.3 Transmission of Infection and Available Treatments 14.4 COVID-19 Infection and Immune Responses 14.5 Mathematical Modeling 14.6 Conclusion References 15 Machine Learning: A Tool to Combat COVID-19 15.1 Introduction 15.2 Our Contribution 15.3 State-Wise Data Set and Analysis 15.4 Neural Network 15.5 Results and Discussion 15.6 Conclusion 15.7 Future Scope References
8 Index
Guide
1 Cover
6 Preface
8 Index
List of Illustrations
1 Chapter 1Figure 1.1 Confirmed cases in top 3 countries in the number of cases (Cumulative...Figure 1.2 Diagnosis of COVID-19 using support vector based machine learning app...Figure 1.3 Machine learning process for drug development.Figure 1.4 Machine learning approach for reuse of drug in COVID-19.
2 Chapter 3Figure 3.1 A typical linear regression graph.Figure 3.2 Multiple linear regression graph.Figure 3.3 Logistic regression graph.Figure 3.4 Decision tree graph.Figure 3.5