Читать книгу Enabling Healthcare 4.0 for Pandemics - Группа авторов - Страница 2
Table of Contents
Оглавление1 Cover
4 Preface
5 Part 1 MACHINE LEARNING FOR HANDLING COVID-19 1 COVID-19 and Machine Learning Approaches to Deal With the Pandemic 1.1 Introduction 1.2 COVID-19 Diagnosis in Patients Using Machine Learning 1.3 AI and Machine Learning as a Support System for Robotic System and Drones 1.4 Conclusion References 2 Healthcare System 4.0 Perspectives on COVID-19 Pandemic 2.1 Introduction 2.2 Key Techniques of HCS 4.0 for COVID-19 2.3 Real World Applications of HCS 4.0 for COVID-19 2.4 Opportunities and Limitations 2.5 Future Perspectives 2.6 Conclusion References 3 Analysis and Prediction on COVID-19 Using Machine Learning Techniques 3.1 Introduction 3.2 Literature Review 3.3 Types of Machine Learning 3.4 Machine Learning Algorithms 3.5 Analysis and Prediction of COVID-19 Data 3.6 Analysis Using Machine Learning Models 3.7 Conclusion & Future Scope References 4 Rapid Forecasting of Pandemic Outbreak Using Machine Learning 4.1 Introduction 4.2 Effect of COVID-19 on Different Sections of Society 4.3 Definition and Types of Machine Learning 4.4 Machine Learning Approaches for COVID-19 References 5 Rapid Forecasting of Pandemic Outbreak Using Machine Learning: The Case of COVID-19 5.1 Introduction 5.2 Related Work 5.3 Suggested Methodology 5.4 Models in Epidemiology 5.5 Particle Filtering Algorithm 5.6 MCM Model Implementation 5.7 Diagnosis of COVID-19 5.8 Conclusion References
6 Part 2 EMERGING TECHNOLOGIES TO DEAL WITH COVID-19 6 Emerging Technologies for Handling Pandemic Challenges 6.1 Introduction 6.2 Technological Strategies to Support Society During the Pandemic 6.3 Feasible Prospective Technologies in Controlling the Pandemic 6.4 Coronavirus Pandemic: Emerging Technologies That Tackle Key Challenges 6.5 The Golden Age of Drone Delivery 6.6 Technology Helps Pandemic Management 6.7 Conclusion References 7 Unfolding the Potential of Impactful Emerging Technologies Amid COVID-19 7.1 Introduction 7.2 Review of Technologies Used During the Outbreak of Ebola and SARS 7.3 Emerging Technological Solutions to Mitigate the COVID-19 Crisis 7.4 Conclusion References 8 Advances in Technology: Preparedness for Handling Pandemic Challenges 8.1 Introduction 8.2 Issues and Challenges Due to Pandemic 8.3 Digital Technology and Pandemic 8.4 Application of Technology for Handling Pandemic 8.5 Challenges with Digital Healthcare 8.6 Conclusion References 9 Emerging Technologies for COVID-19 9.1 Introduction 9.2 Related 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
