Investigation of COVID-19 and scientific analysis big data analytics with the help of machine learning

Victor Chang, Mohamed Aleem Ali, Alamgir Hossain

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This book chapter presents the review of COVID-19 and its status, as well as the scientific Analysis big data analytics with the help of machine learning. We provide in-depth literature review, and provide a summary of the current AI and machine learning methods, which have become increasingly important to provide accurate analyses. Various conceptual diagrams have been used to illustrate how different technologies can contribute to effective analyses for COVID-19. We demonstrate our work from both theoretical contributions and practical implementations. © 2022 Elsevier Inc. All rights reserved.

Original languageEnglish
Title of host publicationNovel AI and Data Science Advancements for Sustainability in the Era of COVID-19
EditorsVictor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills
PublisherElsevier Masson
Chapter2
Pages21-66
Number of pages46
ISBN (Electronic)9780323903783
ISBN (Print)9780323900546
DOIs
Publication statusPublished - 5 Apr 2022
Externally publishedYes

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