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Descripción

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

1. Chapter 9 Introduction of artificial intelligence and machine learning - p. 233 2. Chapter 10 Emerging technologies for coronaviruses (COVID-19) - p. 245 3. Chapter 11 Diagnosing coronaviruses (COVID-19) using machine learning - p. 261 4. Chapter 12 Radiology images in machine learning: Diagnosing and combatting COVID-19 - p. 287 5. Chapter 13 Challenges and constraints of using radiology images to diagnose COVID-19 - p. 305 6. Chapter 14 Artificial Intelligence and Internet of Things - p. 325 7. Chapter 15 Checking COVID-19 transmission using IoT - p. 347 8. Chapter 16 Interpretation and validation of COVID-19 data obtained from Artificial Intelligence - p. 371 9. Chapter 17 The pandemic: blockchain-based e-voting system, the way forward - p. 381 10. Index - p. 393

Descripcion
Descripción

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

1. Chapter 9 Introduction of artificial intelligence and machine learning - p. 233 2. Chapter 10 Emerging technologies for coronaviruses (COVID-19) - p. 245 3. Chapter 11 Diagnosing coronaviruses (COVID-19) using machine learning - p. 261 4. Chapter 12 Radiology images in machine learning: Diagnosing and combatting COVID-19 - p. 287 5. Chapter 13 Challenges and constraints of using radiology images to diagnose COVID-19 - p. 305 6. Chapter 14 Artificial Intelligence and Internet of Things - p. 325 7. Chapter 15 Checking COVID-19 transmission using IoT - p. 347 8. Chapter 16 Interpretation and validation of COVID-19 data obtained from Artificial Intelligence - p. 371 9. Chapter 17 The pandemic: blockchain-based e-voting system, the way forward - p. 381 10. Index - p. 393

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Muestra
Ficha Técnica