Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
- 1st Edition - July 1, 2024
- Editors: Mohammad Sufian Badar, Nima Rezaei, Hassan Imtiyaz, Jawed Ahmed, Afshar Alam
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 3 7 4 - 0
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 3 7 3 - 3
Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificia… Read more
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Request a sales quoteDiagnosis 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
- No. of pages: 325
- Language: English
- Edition: 1
- Published: July 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780323953740
MB
Mohammad Sufian Badar
NR
Nima Rezaei
HI
Hassan Imtiyaz
JA
Jawed Ahmed
AA