Enabling Healthcare 4.0 for Pandemics

Table of contents

1. Cover
2. Title page
3. Copyright
4. Preface
5. Part 1 MACHINE LEARNING FOR HANDLING COVID-19
   1. 1 COVID-19 and Machine Learning Approaches to Deal With the Pandemic
      1. 1.1 Introduction
      2. 1.2 COVID-19 Diagnosis in Patients Using Machine Learning
      3. 1.3 AI and Machine Learning as a Support System for Robotic System and Drones
      4. 1.4 Conclusion
      5. References
   2. 2 Healthcare System 4.0 Perspectives on COVID-19 Pandemic
      1. 2.1 Introduction
      2. 2.2 Key Techniques of HCS 4.0 for COVID-19
      3. 2.3 Real World Applications of HCS 4.0 for COVID-19
      4. 2.4 Opportunities and Limitations
      5. 2.5 Future Perspectives
      6. 2.6 Conclusion
      7. References
   3. 3 Analysis and Prediction on COVID-19 Using Machine Learning Techniques
      1. 3.1 Introduction
      2. 3.2 Literature Review
      3. 3.3 Types of Machine Learning
      4. 3.4 Machine Learning Algorithms
      5. 3.5 Analysis and Prediction of COVID-19 Data
      6. 3.6 Analysis Using Machine Learning Models
      7. 3.7 Conclusion & Future Scope
      8. References
   4. 4 Rapid Forecasting of Pandemic Outbreak Using Machine Learning
      1. 4.1 Introduction
      2. 4.2 Effect of COVID-19 on Different Sections of Society
      3. 4.3 Definition and Types of Machine Learning
      4. 4.4 Machine Learning Approaches for COVID-19
      5. References
   5. 5 Rapid Forecasting of Pandemic Outbreak Using Machine Learning: The Case of COVID-19
      1. 5.1 Introduction
      2. 5.2 Related Work
      3. 5.3 Suggested Methodology
      4. 5.4 Models in Epidemiology
      5. 5.5 Particle Filtering Algorithm
      6. 5.6 MCM Model Implementation
      7. 5.7 Diagnosis of COVID-19
      8. 5.8 Conclusion
      9. References
6. Part 2 EMERGING TECHNOLOGIES TO DEAL WITH COVID-19
   1. 6 Emerging Technologies for Handling Pandemic Challenges
      1. 6.1 Introduction
      2. 6.2 Technological Strategies to Support Society During the Pandemic
      3. 6.3 Feasible Prospective Technologies in Controlling the Pandemic
      4. 6.4 Coronavirus Pandemic: Emerging Technologies That Tackle Key Challenges
      5. 6.5 The Golden Age of Drone Delivery
      6. 6.6 Technology Helps Pandemic Management
      7. 6.7 Conclusion
      8. References
   2. 7 Unfolding the Potential of Impactful Emerging Technologies Amid COVID-19
      1. 7.1 Introduction
      2. 7.2 Review of Technologies Used During the Outbreak of Ebola and SARS
      3. 7.3 Emerging Technological Solutions to Mitigate the COVID-19 Crisis
      4. 7.4 Conclusion
      5. References
   3. 8 Advances in Technology: Preparedness for Handling Pandemic Challenges
      1. 8.1 Introduction
      2. 8.2 Issues and Challenges Due to Pandemic
      3. 8.3 Digital Technology and Pandemic
      4. 8.4 Application of Technology for Handling Pandemic
      5. 8.5 Challenges with Digital Healthcare
      6. 8.6 Conclusion
      7. References
   4. 9 Emerging Technologies for COVID-19
      1. 9.1 Introduction
      2. 9.2 Related Work
      3. 9.3 Technologies to Combat COVID-19
      4. 9.4 Comparison of Various Technologies to Combat COVID-19
      5. 9.5 Conclusion
      6. References
   5. 10 Emerging Techniques for Handling Pandemic Challenges
      1. 10.1 Introduction to Pandemic
      2. 10.2 Technique Used to Handle Pandemic Challenges
      3. 10.3 Working Process of Techniques
      4. 10.4 Data Analysis
      5. 10.5 Rapid Development Structure
      6. 10.6 Conclusion & Future Scope
      7. References
7. Part 3 ALGORITHMIC TECHNIQUES FOR HANDLING PANDEMIC
   1. 11 A Hybrid Metaheuristic Algorithm for Intelligent Nurse Scheduling
      1. 11.1 Introduction
      2. 11.2 Methodology
      3. 11.3 Computational Results
      4. 11.4 Conclusion
      5. References
   2. 12 Multi-Purpose Robotic Sensing Device for Healthcare Services
      1. 12.1 Introduction
      2. 12.2 Background and Objectives
      3. 12.3 The Functioning of Multi-Purpose Robot
      4. 12.4 Discussion and Conclusions
      5. References
   3. 13 Prevalence of Internet of Things in Pandemic
      1. 13.1 Introduction
      2. 13.2 What is IoT?
      3. 13.3 Various Models Proposed for Managing a Pandemic Like COVID-19 Using IoT
      4. 13.4 Global Technological Developments to Overcome Cases of COVID-19
      5. 13.5 Results & Discussions
      6. 13.6 Conclusion
      7. References
   4. 14 Mathematical Insight of COVID-19 Infection—A Modeling Approach
      1. 14.1 Introduction
      2. 14.2 Epidemiology and Etiology
      3. 14.3 Transmission of Infection and Available Treatments
      4. 14.4 COVID-19 Infection and Immune Responses
      5. 14.5 Mathematical Modeling
      6. 14.6 Conclusion
      7. References
   5. 15 Machine Learning: A Tool to Combat COVID-19
      1. 15.1 Introduction
      2. 15.2 Our Contribution
      3. 15.3 State-Wise Data Set and Analysis
      4. 15.4 Neural Network
      5. 15.5 Results and Discussion
      6. 15.6 Conclusion
      7. 15.7 Future Scope
      8. References
8. Index
9. End User License Agreement