Cover Image

Diagnosis and analysis of COVID-19 using artificial intelligence and machine learning-based techniques /

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.

Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London : Academic Press, 2024.
Series:Developments in applied microbiology and biotechnology
Subjects:
COVID-19 (Disease) > Diagnosis > Technological innovations.
Artificial intelligence > Medical applications.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
  • Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
  • Copyright
  • Dedication
  • Contents
  • Contributors
  • Foreword
  • Preface
  • Acknowledgment
  • A
  • Biology of SARS-CoV-2
  • 1
  • Understanding the molecular basis of pathogenesis of SARS-CoV-2
  • What you will learn
  • 1. Overview of SARS-CoV-2 pandemic
  • 2. Structure and genome
  • 2.1 Structural proteins
  • 2.1.1 Spike proteins
  • 2.1.2 Envelope protein
  • 2.1.3 Membrane protein (M)
  • 2.1.4 Nucleocapsid (N)
  • 2.1.5 Replicase polyprotein
  • 2.2 Nonstructural proteins
  • 2.2.1 Nsp1 (19.6kDa, 1946 amino acid)
  • 2.2.2 Nsp2 (70.5kDa, 639 amino acids)
  • 2.2.3 Nsp3 (217kDa, 1946 amino acids)
  • 2.2.4 Nsp4 (56kDa, 501 amino acids)
  • 2.2.5 Nsp5 (33.7kDa, 307 amino acids)
  • 2.2.6 Nsp6 (33kDa, 291 amino acids)
  • 2.2.7 Nsp7 (9.2kDa, 84 amino acids) and Nsp8 (21kDa, 199 amino acids)
  • 2.2.8 Nsp9 (12.3kDa, 114 amino acids)
  • 2.2.9 Nsp10 (14.7kDa, 140 amino acids)
  • 2.2.10 Nsp11 (1.3kDa, 13 amino acids)
  • 2.2.11 Nsp12 (106kDa, 932 amino acids)
  • 2.2.12 Nsp13 (66.8kDa, 601 amino acids)
  • 2.2.13 Nsp14 (59.8kDa, 527 amino acids)
  • 2.2.14 Nsp15 (38.8kDa, 346 amino acids)
  • 2.2.15 Nsp16 (33kDa, 298 amino acids)
  • 2.3 Accessory proteins
  • 3. Cell tropism
  • 4. Viral life cycle
  • 4.1 Binding
  • 4.2 Entry and Proteolysis
  • 4.3 Viral replication
  • 4.4 Assembly, packaging, and exit
  • 5. Molecular aspects of pathogenesis
  • 5.1 Host immune response to SARS-CoV-2
  • 5.2 Antigen presentation in coronavirus infection
  • 5.3 Cytokine storm in COVID-19
  • 5.4 Renal pathogenesis
  • 5.5 Coagulation system activation
  • What you will learn?
  • 1. Introduction
  • 2. Overview of the COVID-19 pandemic and its impact
  • 2.1 Origin and emergence
  • 2.2 Modes of transmission
  • 2.3 Global spread
  • 3. Evolution of corona viruses (Fig. 2.5)
  • 3.1 Mutation and genetic variability
  • 3.2 Natural selection
  • 3.3 Adaptation to hosts
  • 4. Phylogeny of coronaviruses
  • 4.1 Phylogenetic analysis
  • 4.2 Common ancestry
  • 4.3 Phylogenetic insights
  • 5. Case study
  • 5.1 Severe Acute Respiratory Syndrome
  • 5.1.1 Epidemiology
  • 5.1.2 Evolution
  • 5.2 Middle East Respiratory Syndrome
  • 5.2.1 In epidemiology