Novel AI and data science advancements for sustainability in the era of COVID-19 / edited by Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills.

Format:

Book

Contributor:

Chang, Victor.

Abdel-Basset, Mohamed, 1985-

Ramachandran, Muthu.

Green, Nicolas.

Wills, Gary.

Language:

English

Subjects (All):

Artificial intelligence.

COVID-19 Pandemic, 2020-2023--Data processing.

COVID-19 Pandemic, 2020-2023.

Big data.

Artificial Intelligence.

artificial intelligence.

Medical Subjects:

Artificial Intelligence.

Genre:

Electronic books.

Physical Description:

1 online resource

Place of Publication:

London : Academic Press, 2022.

System Details:

text file

Contents:

Intro

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Copyright

Contents

Contributors

Chapter 1: Deep learning-based hybrid models for prediction of COVID-19 using chest X-ray

1. Introduction

2. Related work

3. Modeling

3.1. PCA-feature ensembles

3.2. Optimally weighted majority voting

3.3. Feature extraction

3.4. Layer modification

4. Experimental setup

4.1. Baseline models

4.1.1. VGG-16 (Simonyan & Zisserman, 2015)

4.1.2. ResNet 50 (He et al., 2016)

4.1.3. Inception V3 (Szegedy et al., 2015)

4.2. Dataset

4.3. Data augmentation

4.4. Other preprocessing

4.5. Evaluation metrics

4.5.1. Accuracy

4.5.2. Precision

4.5.3. Recall

4.5.4. F-1 score

4.6. Experimental details

5. Results and discussion

6. Conclusions

References

Chapter 2: Investigation of COVID-19 and scientific analysis big data analytics with the help of machine learning

1. Introduction and background

2. Literature review

3. COVID-19 pandemic in the new era of big data analytics: Methodological innovations and future research directions

3.1. Deep learning applications for COVID-19

3.2. Big data analytics as a tool for fighting pandemics: A systematic review of literature

4. Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection ...

5. Significant applications of big data in COVID-19 pandemic

6. Research problem

7. Research questions

8. Objectives

9. Methodology

9.1. Techniques

10. Algorithm

11. Conclusion

11.1. Big data

11.2. Machine learning

11.3. COVID-19

Acknowledgment

References

Chapter 3: Designing a conceptual model in the artificial intelligence environment for the health care sector

2. Background

3. Literature review

4. Approach suggested for designing a conceptual model

5. Selection of concepts in information and communication technology

5.1. Artificial intelligence

5.2. Role of artificial intelligence

5.3. Machine learning

5.4. Algorithms

5.5. Data warehouse

5.6. Virtual reality

5.7. Cloud computing

6. Databases related to classification of diseases, digital image code, and viruses taxonomy

6.1. International Classification of Diseases (ICD)

6.2. Digital Imaging and Communications in Medicine (DICOM)

6.3. International Committee on the Taxonomy of Viruses (ICTV)

7. Role of core team

7.1. Medical research activities

7.2. Virtual medical research center

8. Overview of viruses

8.1. Viruses

8.2. Spreading vectors

8.3. Human immunodeficiency viruses

8.4. Role of immune system

8.5. Parts of immune system

8.6. Characteristics of immune system

8.6.1. White blood cells

8.6.2. Antibodies

8.6.3. Complement system

8.6.4. Lymphatic system

Notes:

Print version record.

Other Format:

Print version: Novel AI and data science advancements for sustainability in the era of COVID-19

ISBN:

9780323903783

0323903789

OCLC:

1309864605

Access Restriction:

Restricted for use by site license.