The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
Chapter 1.Comprehensive Claims of AI for Healthcare
Applications-Coherence towards COVID-19.
Chapter
2. Artificial Intelligence
based systems for combating COVID-19.
Chapter
3. Artificial intelligence
mediated medical diagnosis of COVID-19.
Chapter
4. AI combined with medical
imaging enables rapid diagnosis for COVID-19.
Chapter
5. Role of Artificial
Intelligence in COVID-19 prediction based on Statistical Methods.
Chapter
6.
Data Driven symptom Analysis and Location Prediction Model for Clinical
Health Data Processing and Knowledgebase Development for COVID 19.
Chapter
7. A decision support System using Rule based Expert System For COVID -19
Prediction and Diagnosis.
Chapter
8. A Predictive Mechanism to Intimate the
Danger of Infection via nCOVID-19 through Unsupervised Learning.
Chapter
9.
AI-enabled prognosis technologies for SARS Co-2.
Chapter
10. Intelligent
agent Based Case Base Reasoning Systems Build Knowledge Representation in
COVID-19 analysis of Recovery, Infectious Patients.
Chapter
11. Epidemic
Analysis of COVID 19 Using Machine Learning.
Chapter
12. Machine learning
application in COVID-19 drug development.
Chapter
13. COVID 19 Epidemic
Analysis Using Linear and Polynomial Regression Approach.
Chapter
14.
Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine
Learning.
Chapter
15. Predictive Risk Analysis by using Machine Learning
during Covid-19.
Chapter
16. Analysis and Validation of Risk Prediction by
Stochastic Gradient Boosting Along With Recursive Feature Elimination for
COVID-19.
Chapter
17. Artificial intelligence in mental healthcare during
COVID-19 pandemic.
Chapter
18. Effect of Covid-19 on Autism Spectrum
Disorder: Prognosis, diagnosis and therapeutics based On AI.
Chapter
19. Use
of mobile phone apps for contact tracing to control the COVID-19 pandemic: A
Literature Review.
Chapter
20. Role of IoT and Social Networking in Mental
Healthcare of Transgender Community in Covid-19 Pandemic.
Chapter
21.
TECHNOLOGY ACCEPTANCE AND USE OF IOT DURING COVID 19 PANDEMIC-CASE STUDY OF
HEALTH SECTOR IN INDIA.
Chapter
22. Artificial Intelligence The Strategies
used in COVID-19 for Diagnosis.
Chapter
23. Impact of Isolation and
Quarantine on Covid-19 Patients and Potential Role of Technology in
Mitigation.
Chapter
24. Impact of loneliness and Quarantine on COVID-19
patients with artificial intelligence applications.
Chapter 25. Can
Technology fight the loneliness Lockdown: A study of factors Affecting
Loneliness in NCR during COVID 19.
Chapter
26. Psycho-economic Impact of
Obligatory Job Switching during Covid-19 Pandemic: A Study of Hawkers in
Bhubaneswar (India).
Chapter
27. AIs Role in Essential Commodities during a
Pandemic Situation.
Chapter 28.Impact of COVID-19 on Manufacturing and
Operational Ecosystem in India.
Chapter
29. Impact of Repatriated Migrants
on the Production Possibility of Agricultural Sector owing to Covid: A Study
on the basis of Inferential Statistics.
Chapter
30. Nicotine in Covid-19:
Friend or Foe;?.
Chapter
31. Artificial Intelligence in Covid19:
Application and Legal Conundrums.
Dr.Sachi Nandan Mohanty, He received his PostDoc from IIT Kanpur in the year 2019 and Ph.D., from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has edited 24 books in association with Springer and Wiley, His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 3 Best Paper Awards during his Ph.D at IIT Kharagpur from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He has awarded Best thesis award first prize by Computer Society of India in the year 2015. He has guided 6 PhD Scholar. He has published 60 International Journals of International repute and has been elected as FELLOWS of Institute of Engineers and IETE with Senior member of IEEE Computer Society Hyderabad chapter.
Prof. (Dr.) Shailendra K. Saxena is the Vice Dean and a Professor at King George's Medical University, Lucknow. His primary research interest is investigating the molecular mechanisms of host defense during human viral infections in order to develop predictive, preventive and therapeutic strategies against these diseases. He has received young scientist awards, and the BBSRC India Partnering Award and was named the Global Leader in Science by The Scientist magazine (USA). He has been elected a Fellow of The Academy of Environmental Biology, India (FAEB), and the Indian Virological Society (FIVS). He was also the recipient of the Dr. JC Bose National Award from the Department of Biotechnology (Govt. of India).
Jyotir Moy Chatterjee is currently working as an Assistant Professor of IT department at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. His research interests include cloud computing, machine learning, the internet of things, data mining, and blockchain technology.
Dr.Suneeta Satpathy received her Ph.D. from Utkal University, Bhubaneswar, Odisha. She is currently an Associate Professor at the Department of Computer Science & Engineering at the College of Engineering Bhubaneswar. Her research interests include computer forensics, cyber security, data fusion and decision mining. She is an editorial board member and reviewer for several journals including the Journal of Engineering Science, Advancement of Computer Technology and Applications, and Robotics and Autonomous Systems.
