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Springer Understanding COVID-19: Computational Intelligence - Studies 963

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Description

This comprehensive book examines the novel coronavirus infection through the lens of computational intelligence, offering detailed analysis of transmission patterns, disease symptoms, and clinical applications. The work covers radiomics and image analysis for diagnosis, antibody treatment strategies, risk assessment methodologies, and drug discovery approaches. Additional topics include sentiment analysis of public response, virus infection modelling, and fatality prediction techniques. Written by Springer as part of the Studies in Computational Intelligence series (volume 963), this resource addresses both current challenges and futuristic applications of artificial intelligence and machine learning in combating COVID-19 and developing effective treatment protocols.

Key Features

Springer's volume 963 in the Studies in Computational Intelligence series provides academic depth on pandemic response using advanced computational methods.

Comprehensive coverage of COVID-19 transmission analysis and spread modelling using computational intelligence techniques.

Explores clinical applications including radiomics, image analysis for diagnosis, and antibody treatment evaluation.

Addresses drug discovery acceleration through computational approaches and risk analysis frameworks.

Includes sentiment and emotion analysis methodologies alongside virus infection prediction and fatality forecasting models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 July 2021
Listed Since
24 March 2021

Barcode

No barcode data available

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