Diagnosis and Analysis of Covid-19 Using Artificial Intelligence and Machine Learning-Based Techniques

Herausgeber: Badar, Mohammad Sufian; Alam, Afshar; Ahmed, Jawed; Imtiyaz, Hassan; Rezaei, Nima

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 426
• Erscheinungstermin: 30. Juli 2024
• Englisch
• Abmessung: 235mm x 191mm
• Gewicht: 450g
• ISBN-13: 9780323953740
• ISBN-10: 0323953743
• Artikelnr.: 66228647

Inhaltsangabe

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