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Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques de Mohammad Sufian Badar

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques: Developments in Applied Microbiology and Biotechnology

Editat de Mohammad Sufian Badar, Nima Rezaei, Hassan Imtiyaz, Jawed Ahmed, Afshar Alam
en Limba Engleză Paperback – 30 iul 2024
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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Specificații

ISBN-13: 9780323953740
ISBN-10: 0323953743
Pagini: 426
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Developments in Applied Microbiology and Biotechnology

Public țintă

researchers, scientists, graduate students in virology, infectious diseases, artificial intelligence and machine learning
This book can also be used by government agencies, health workers, NGOs, public health professionals, graduates, academicians, and researchers in related fields

Cuprins

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