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Application of Artificial Intelligence in COVID-19 (Medical Virology: From Pathogenesis to Disease Control) 1st ed. 2021 Edition


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Editorial Reviews

From the Back Cover

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.


About the Author

Prof.Dr.Sachi Nandan Mohanty received his Ph.D. from the Indian Institute of Technology Kharagpur in 2015, and is currently an Associate Professor at the Department of Computer Science & Engineering at the ICFAI Foundation for Higher Education Hyderabad. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, and computational intelligence. Prof. Mohanty is a reviewer for various respected journals.

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.


Product details

  • Item Weight : 1.74 pounds
  • ISBN-10 : 9811573166
  • ISBN-13 : 978-9811573163
  • Publisher : Springer; 1st ed. 2021 edition (June 12, 2021)
  • Language: : English

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