Overview
- Discusses the use of artificial intelligence-based tools in the diagnosis and treatment of COVID-19
- Examines the application of artificial intelligence in epidemic analysis and drug development
- Highlights the vital role of big data in the fight against coronavirus
Part of the book series: Medical Virology: From Pathogenesis to Disease Control (MVPDC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (31 chapters)
-
Front Matter
-
AI as a Source of Prides for Healthcare
-
Front Matter
-
-
AI Warfare in COVID-19 Diagnosis, Detection, Prediction, Prognosis and Knowledge Representation
-
Front Matter
-
-
Machine Learning Solicitation for COVID 19
-
Front Matter
-
Keywords
About this book
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Applications of Artificial Intelligence in COVID-19
Editors: Sachi Nandan Mohanty, Shailendra K. Saxena, Suneeta Satpathy, Jyotir Moy Chatterjee
Series Title: Medical Virology: From Pathogenesis to Disease Control
DOI: https://doi.org/10.1007/978-981-15-7317-0
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-7316-3Published: 30 September 2021
Softcover ISBN: 978-981-15-7319-4Published: 01 October 2022
eBook ISBN: 978-981-15-7317-0Published: 29 September 2021
Series ISSN: 2662-981X
Series E-ISSN: 2662-9828
Edition Number: 1
Number of Pages: XX, 595
Number of Illustrations: 69 b/w illustrations, 147 illustrations in colour
Topics: Virology, Epidemiology, Artificial Intelligence