Big Data Analytics in Healthcare: A Review of Opportunities and Challenges

Marjan Mansourvar*, Uffe Kock Wiil, Christian Nohr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Big data analytics is a rapidly expanding issue in computer engineering, and health informatics is one of the most challenging topics. Big data investigation in healthcare could certainly make improvements to medical study as well as the quality of treatment offered to patients. Machine Learning (ML) algorithms due to powerful and efficient handling of data analytics could gain knowledge from data to discover patterns and trends in the database to make predictive models. Our study aims to review the most recent scholarly publications about big data analytics and its applications which include predictive models in healthcare. A systematic search of articles in the three most significant scientific databases: ScienceDirect, PubMed, and IEEE Xplore was carried out following the PRISMA methodology. This study shows how machine learning algorithms are evolving into a promising field for supporting intelligent decisions by analyzing large data sets and thereby improving treatments while reducing costs. However, there remain challenges to overcome and there is still room for improvement to develop methods and applications. Finally, we outline the unsolved issue and the future perspectives for health sciences in the big data era.
Original languageEnglish
Title of host publication Emerging Technologies in Computing : Third EAI International Conference, iCETiC 2020, London, UK, August 19–20, 2020, Proceedings
EditorsMahdi H. Miraz, Peter S. Excell, Andrew Ware, Safeeullah Soomro, Maaruf Ali
PublisherSpringer
Publication date29. Sep 2020
Pages126-141
ISBN (Print)978-3-030-60035-8
ISBN (Electronic)978-3-030-60036-5
DOIs
Publication statusPublished - 29. Sep 2020
Event3rd International Conference on Emerging Technologies in Computing 2020 (iCETiC '20) - London, United Kingdom
Duration: 19. Aug 202020. Oct 2020

Conference

Conference3rd International Conference on Emerging Technologies in Computing 2020 (iCETiC '20)
Country/TerritoryUnited Kingdom
CityLondon
Period19/08/202020/10/2020
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume332
ISSN1867-8211

Bibliographical note

Conference held online due to Covid 19

Keywords

  • Big data analytics
  • Machine learning
  • Predictive model
  • Healthcare
  • Data science

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