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Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models.

In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics.
Academic Press
Chang, Victor
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Abdel-Basset, Mohamed
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Ramachandran, Muthu
c219d50f-ca4d-451d-8e17-3c7043a30d6b
Green, Nicolas G.
d9b47269-c426-41fd-a41d-5f4579faa581
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Chang, Victor
8327af45-7ad7-4f35-b614-cc4df8118bb5
Abdel-Basset, Mohamed
2a821e27-55fc-4167-a752-8a7bf9fb4a21
Ramachandran, Muthu
c219d50f-ca4d-451d-8e17-3c7043a30d6b
Green, Nicolas G.
d9b47269-c426-41fd-a41d-5f4579faa581
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Chang, Victor, Abdel-Basset, Mohamed, Ramachandran, Muthu, Green, Nicolas G. and Wills, Gary (2022) Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 , 1st ed. Academic Press, 275pp.

Record type: Book

Abstract

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models.

In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics.

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More information

Published date: April 2022

Identifiers

Local EPrints ID: 467568
URI: http://eprints.soton.ac.uk/id/eprint/467568
PURE UUID: 3cd7c6e0-ee46-41d5-8fcc-19fc5e053215
ORCID for Nicolas G. Green: ORCID iD orcid.org/0000-0001-9230-4455
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 13 Jul 2022 17:18
Last modified: 14 Jul 2022 01:40

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Contributors

Author: Victor Chang
Author: Mohamed Abdel-Basset
Author: Muthu Ramachandran
Author: Nicolas G. Green ORCID iD
Author: Gary Wills ORCID iD

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