Enabling Healthcare 4.0 for Pandemics. Группа авторов

      1  Cover

      2  Title page

      3  Copyright

      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