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

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Emerging Technologies in Computing (iCETiC 2020)

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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.

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Authors and Affiliations

  1. Centre of Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark

    Marjan Mansourvar, Uffe Kock Wiil & Christian Nøhr

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  1. Marjan Mansourvar
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  2. Uffe Kock Wiil
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  3. Christian Nøhr
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Correspondence to Marjan Mansourvar .

Editor information

Editors and Affiliations

  1. CFRED, Chinese University of Hong Kong, Hong Kong, China

    Mahdi H. Miraz

  2. Professor Emeritus, Wrexham Glyndwr University, Bradford, UK

    Peter S. Excell

  3. Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, Mid Glamorgan, UK

    Andrew Ware

  4. AMA International University, Salmabad, Bahrain

    Safeeullah Soomro

  5. Epoka University, Tirana, Albania

    Maaruf Ali

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Mansourvar, M., Wiil, U.K., Nøhr, C. (2020). Big Data Analytics in Healthcare: A Review of Opportunities and Challenges. In: Miraz, M.H., Excell, P.S., Ware, A., Soomro, S., Ali, M. (eds) Emerging Technologies in Computing. iCETiC 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-030-60036-5_9

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