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Intelligent Data Analysis for COVID-19 Pandemic /

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Niranjanamurthy, M. (Editor), Bhattacharyya, Siddhartha (Editor), Kumar, Neeraj (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Algorithms for Intelligent Systems,
Subjects:
Computational intelligence.
Artificial intelligence.
Statistics .
Health informatics.
Computational Intelligence.
Artificial Intelligence.
Statistics, general.
Health Informatics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Physical Description:1 online resource (XIX, 370 pages 156 illustrations, 105 illustrations in color.)
ISBN:9789811615740
ISSN:2524-7573
DOI:10.1007/978-981-16-1574-0