Enabling Healthcare 4.0 for Pandemics. Группа авторов
Work 9.3 Technologies to Combat COVID-19 9.4 Comparison of Various Technologies to Combat COVID-19 9.5 Conclusion References 10 Emerging Techniques for Handling Pandemic Challenges 10.1 Introduction to Pandemic 10.2 Technique Used to Handle Pandemic Challenges 10.3 Working Process of Techniques 10.4 Data Analysis 10.5 Rapid Development Structure 10.6 Conclusion & Future Scope References
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