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Title
Understanding COVID-19 : the role of computational intelligence / Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, editors.
ISBN
9783030747619 (electronic bk.)
3030747611 (electronic bk.)
9783030747602
3030747603
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xv, 569 pages : illustrations (chiefly color))
Item Number
10.1007/978-3-030-74761-9 doi
Call Number
RA644.C67 U43 2022eb
Dewey Decimal Classification
614.5/92414
Summary
This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
Series
Studies in computational intelligence ; v. 963.
Part I. Learning from Various Modalities of COVID-19 Data
COVID-19 Pandemic: Theory, Concepts and Challenges
Evolutionary Algorithm Based Summarization for Analyzing COVID-19 Medical Reports
Chest CT in COVID-19 Pneumonia: Potentials and Limitations of Radiomics and Artificial Intelligence
Use of Deep Learning Based Frameworks on Pixel Scaled Images of Chest CT Scans for Detection of COVID-19
(4 other papers)
Part II Prediction and Risk Analysis of COVID-19 Susceptibility
(8 papers)
Part III Combating COVID-19 with Advanced Computational Intelligence Techniques (7 papers).
