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.
|Title of host publication||Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19|
|Editors||Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills|
|Number of pages||46|
|Publication status||Published - 5 Apr 2022|