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Enabling Healthcare 4.0 for Pandemics
Читать книгу Enabling Healthcare 4.0 for Pandemics - Группа авторов - Страница 1
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Страница 1
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
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1
COVID-19 and Machine Learning Approaches to Deal With the Pandemic
1.1 Introduction
1.1.1 COVID-19 and its Various Transmission Stages Depending Upon the Severity of the Problem
1.2 COVID-19 Diagnosis in Patients Using Machine Learning
1.2.1 Machine Learning to Identify the People who are at More Risk of COVID-19
1.2.2 Machine Learning to Speed Up Drug Development
1.2.3 Machine Learning for Re-Use of Existing Drugs in Treating COVID-19
1.3 AI and Machine Learning as a Support System for Robotic System and Drones
1.3.1 AI-Based Location Tracking of COVID-19 Patients
1.3.2 Increased Number of Screenings Using AI Approach
1.3.3 Artificial Intelligence in Management of Resources During COVID-19
1.3.4 Influence of AI on Manufacturing Industry During COVID-19
1.3.5 Artificial Intelligence and Mental Health in COVID-19
1.3.6 Can AI Replace the Human Brain Intelligence in COVID-19 Crisis?
1.3.7 Advantages and Disadvantages of AI in Post COVID Era
1.4 Conclusion
References
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2
Healthcare System 4.0 Perspectives on COVID-19 Pandemic
2.1 Introduction
2.2 Key Techniques of HCS 4.0 for COVID-19
2.2.1 Artificial Intelligence (AI)
2.2.2 The Internet of Things (IoT)
2.2.3 Big Data
2.2.4 Virtual Reality (VR)
2.2.5 Holography
2.2.6 Cloud Computing
2.2.7 Autonomous Robots
2.2.8 3D Scanning
2.2.9 3D Printing Technology
2.2.10 Biosensors
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
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