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

Victor Chang; Mohamed Aleem Ali; Alamgir Hossain

doi:10.1016/B978-0-323-90054-6.00007-6

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/Published conference output › Chapter

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.

Original language	English
Title of host publication	Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
Publisher	Elsevier
Chapter	2
Pages	21-66
Number of pages	46
ISBN (Electronic)	9780323900546
ISBN (Print)	9780323903783
DOIs	https://doi.org/10.1016/B978-0-323-90054-6.00007-6
Publication status	Published - 2022

Keywords

AU methods for COVID-19
COVID-19 review
Machine learning for COVID-19

Access to Document

10.1016/B978-0-323-90054-6.00007-6

Cite this

@inbook{e0ce55d38c3a4d0199bd3ab758a7502b,

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

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.",

keywords = "AU methods for COVID-19, COVID-19 review, Machine learning for COVID-19",

author = "Victor Chang and Ali, {Mohamed Aleem} and Alamgir Hossain",

year = "2022",

doi = "10.1016/B978-0-323-90054-6.00007-6",

language = "English",

isbn = "9780323903783",

pages = "21--66",

booktitle = "Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19",

publisher = "Elsevier",

address = "Netherlands",

}

TY - CHAP

T1 - Investigation of COVID-19 and scientific analysis big data analytics with the help of machine learning

AU - Chang, Victor

AU - Ali, Mohamed Aleem

AU - Hossain, Alamgir

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - AU methods for COVID-19

KW - COVID-19 review

KW - Machine learning for COVID-19

UR - http://www.scopus.com/inward/record.url?scp=85137605988&partnerID=8YFLogxK

UR - https://www.sciencedirect.com/science/article/pii/B9780323900546000076

UR - https://www.sciencedirect.com/book/9780323900546/novel-ai-and-data-science-advancements-for-sustainability-in-the-era-of-covid-19

U2 - 10.1016/B978-0-323-90054-6.00007-6

DO - 10.1016/B978-0-323-90054-6.00007-6

M3 - Chapter

AN - SCOPUS:85137605988

SN - 9780323903783

SP - 21

EP - 66

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

PB - Elsevier

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

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

Cite this