Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
- 1st Edition - July 30, 2024
- Latest edition
- Editors: Mohammad Sufian Badar, Nima Rezaei, Hassan Imtiyaz, Jawed Ahmed, Afshar Alam
- Language: English
Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificia… Read more
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
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
- Edition: 1
- Latest edition
- Published: July 30, 2024
- Language: English
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Mohammad Sufian Badar
Mohammad “Sufian” Badar, PhD is currently working as an Professor (Assistant) in the Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST), Jamia Hamdard, New Delhi, India. Prior to that, he served as a Senior Teaching Faculty in the Department of Bioengineering at the University of California, Riverside, CA, USA. He served as an Analytics Architect in CenturyLink for more than a year in Denver, CO, USA. He possesses an excellent academic record with an MS degree in Molecular Science and Nanotechnology and a Ph.D. in Engineering from Louisiana Tech University Ruston, LA, USA, respectively. Before joining the Ph.D. program at Louisiana Tech University, he graduated with an MSc in Bioinformatics from Jamia Millia Islamia University, New Delhi, India. Dr. Sufian has over 18 years of teaching, research, and industry experience. He has published his research in conferences and highly reputed international journals. He has authored many chapters in the areas of Artificial Intelligence/Machine Learning and Blockchain/IoT. He has published six books with Elsevier, Springer Nature and Bentham, respectively. He recently submitted three book proposals with different publishers.
He is currently in the process of developing a device that, using Biosensors, can correlate the physiology of the human body with the emotion recognition algorithm, giving us a clear measure of the amount of stress hormones in the body. Currently, he and his group have developed an ML model that predicts COVID-19 infection based on symptoms only, and we are now working on increasing the accuracy of our model.
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Nima Rezaei
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Hassan Imtiyaz
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Jawed Ahmed
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Afshar Alam
Professor Mohammad Afshar Alam completed is presently working as Vice- Chancellor and Professor and Dean of School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi. His research areas include Software Re-engineering, Data Mining, Bio-Informatics, Fuzzy databases, and Sustainable Development. He has authored 10 books, supervised more than 30 Doctoral students and more than 200 Post Graduate research projects and has more than 160 research papers in reputed journals to his credit. He is conferred with many prestigious awards like Bharat Samaj Ratna Award, AMP Award for Excellence in Education, Cooperative Citizen Award, World Environment Day Award, and Spardha Shree Award. He is also the member of various government bodies at both National and International level including University Grants Commission (UGC), All India Council of Technical Education (AICTE), National Assessment and Accreditation Council (NAAC), Department of Science & Technology (DST).