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

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.

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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Contributors

Author: Nicolas G. Green

Author: Gary Wills

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