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Novel Designs of Smart Healthcare Systems: Technologies, Architecture, and Applications

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Machine Learning for Critical Internet of Medical Things

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Abstract

The ever-growing smart-enabled data-generating technologies in healthcare have been widely used in the field of biomedical, medical, and pharmaceutical domains. Currently, big data plays various roles, as it connects with different applications, tools, architectures, services, and technologies in the healthcare paradigm. Given the fact that most of the recent research link IoT and big data analytics applications in smart healthcare, it is a time to extend the focus of the research on the novel design of healthcare systems in this domain. The latest sophistication in healthcare has enriched the processing of large volume of health records such as electronic health record, patient monitoring, disease prediction, disease analysis, clinical reports, and recommender system for drugs. However, the detailed discussion about the novel designs of smart healthcare using IoT, big data, latest technologies, etc. is limited. This chapter discusses the latest technologies, architecture and applications, and novel design elements of smart healthcare systems in big data.

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Authors and Affiliations

  1. Department of Management and Information Technology, Faculty of Management and Commerce, South Eastern University of Sri Lanka, Oluvil, Sri Lanka

    Aboobucker Ilmudeen

  2. Graduate School, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

  3. Faculty of Information Technology, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

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  1. Aboobucker Ilmudeen
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  2. Anand Nayyar
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Correspondence to Aboobucker Ilmudeen .

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Editors and Affiliations

  1. Artificial intelligence department, Near East University, Nicosia, Turkey

    Fadi Al-Turjman

  2. Graduate School, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

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Ilmudeen, A., Nayyar, A. (2022). Novel Designs of Smart Healthcare Systems: Technologies, Architecture, and Applications. In: Al-Turjman, F., Nayyar, A. (eds) Machine Learning for Critical Internet of Medical Things. Springer, Cham. https://doi.org/10.1007/978-3-030-80928-7_6

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  • DOI: https://doi.org/10.1007/978-3-030-80928-7_6

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