Overview
- Covers epidemic forecast models, surveillance, and tracking systems
- Is a professionally edited book on the role of computational intelligence to fight against COVID-19 pandemic
- Includes the work of highly qualified contributors from prestigious institutions and research centers across the world
Part of the book series: Studies in Computational Intelligence (SCI, volume 923)
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Table of contents(22 chapters)
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Computational Intelligence and COVID-19 Preliminaries
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Computational Intelligence in Surveillance and Prevention of COVID-19 Infection
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Computational Intelligence in Prediction and Diagnosis of COVID-19
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Computational Intelligence in Drug Design and Drug Repurposing
About this book
Editors and Affiliations
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Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India
Khalid Raza
About the editor
Bibliographic Information
Book Title: Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Editors: Khalid Raza
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-15-8534-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-8533-3Published: 17 October 2020
Softcover ISBN: 978-981-15-8536-4Published: 17 October 2021
eBook ISBN: 978-981-15-8534-0Published: 16 October 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIX, 436
Number of Illustrations: 17 b/w illustrations, 97 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics, Bioinformatics