Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques (eBook, ePUB)

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

• Format: ePub

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. - 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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 325
• Erscheinungstermin: 17. Juli 2024
• Englisch
• ISBN-13: 9780323953733
• Artikelnr.: 72251186

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