| ISBN13: | 9780323953740 |
| ISBN10: | 0323953743 |
| Binding: | Paperback |
| No. of pages: | 325 pages |
| Size: | 235x191 mm |
| Language: | English |
| 700 |
Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
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Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease. This is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies.
- Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and the mutational landscape of SARS-CoV-2
- Provides insights into post COVID-19 symptoms and consequences
- Demonstrates how machine learning, AI, and IoT is used to diagnose and fight COVID-19 infection
- Examines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence
Part A: Biology of SARS-CoV-2 1. Understanding the molecular basis of pathogenesis of SARS-CoV-2 2. Epidemiology, evolution, and phylogeny of Coronaviruses 3. Transmission Mechanism and clinical manifestations of SARS-CoV-2 4. Diagnostic approaches in SARS-CoV-2 Infection (COVID-19) 5. Emerging therapeutic strategies for COVID-19 6. Vaccine development strategies and impact 7. Mutational landscape and emerging variants of SARS-CoV-2 8. Clinical management of Post COVID-19 symptoms and consequences Part B: Machine Learning 9. Introduction of Artificial Intelligence (AI) and Machine Learning (ML) 10. Emerging Technologies for Coronaviruses (COVID-19) 11. Diagnosing Coronaviruses (COVID-19) Using Machine Learning 12. Radiology Images in Machine Learning: Diagnosing and Combatting COVID-19 13. Challenges and Constraints of Using Radiology Images to Diagnose COVID-19 Part C: Blockchain / IoT 14. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of Covid-19 15. Checking Covid-19 Transmission Using IoT 16. Interpretation and validation of data obtained from Artificial Intelligence 17. Socioeconomic and Educational Impact of Pandemic and Use of Blockchain to Control It
