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The Art of Advanced Healthcare Applications in Big Data and IoT Systems

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Advances in Mobile Cloud Computing and Big Data in the 5G Era

Part of the book series: Studies in Big Data ((SBD,volume 22))

Abstract

The goal of this chapter is to analyze existing solutions for self-aware Internet of Things. It will highlight, from a research perspective, the performance and limitations of existing architectures, services and applications specialized on healthcare. The chapter will offer to scientists from academia and designers from industry an overview of the current status of the evolution of applications based on Internet of Things and Big Data. It will also highlight the existing problems and benefits of the IoT for disabled people or people suffering from diseases and the research challenges found in this area.

The work has been funded by the Sectoral Operational Programme Human Resources Development 2007–2013 of the Ministry of European Funds through the Financial Agreement POSDRU/187/1.5/S/155536.

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Notes

  1. 1.

    http://www.forbes.com/forbes/welcome/.

  2. 2.

    https://www.cleardata.com/.

  3. 3.

    https://www.carestream.com/provides.

  4. 4.

    https://www.aetna.com/.

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Acknowledgements

The research presented in this chapter is supported by the following projects: “KEYSTONE—semantic KEYword-based Search on sTructured data sOurcEs (Cost Action IC1302)”; CyberWater grant of the Romanian National Authority for Scientific Research, CNDI-UEFISCDI, project number 47/2012; clueFarm: Information system based on cloud services accessible through mobile devices, to increase product quality and business development farms—PN-II-PT-PCCA-2013-4-0870; MobiWay: Mobility Beyond Individualism: an Integrated Platform for Intelligent Transportation Systems of Tomorrow—PN-II-PT-PCCA-2013-4-0321.

We would like to thank the reviewers for their time and expertise, constructive comments and valuable insight.

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Authors and Affiliations

  1. Faculty of Automatic Control and Computers, Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

    Claudia Ifrim, Andreea-Mihaela Pintilie, Elena Apostol, Ciprian Dobre & Florin Pop

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  1. Claudia Ifrim
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  2. Andreea-Mihaela Pintilie
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  3. Elena Apostol
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  4. Ciprian Dobre
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  5. Florin Pop
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Corresponding author

Correspondence to Claudia Ifrim .

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Editors and Affiliations

  1. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  2. Department of Commerce and Marketing, Technological Educational Institute Crete, Crete, Greece

    George Mastorakis

  3. Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

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Ifrim, C., Pintilie, AM., Apostol, E., Dobre, C., Pop, F. (2017). The Art of Advanced Healthcare Applications in Big Data and IoT Systems. In: Mavromoustakis, C., Mastorakis, G., Dobre, C. (eds) Advances in Mobile Cloud Computing and Big Data in the 5G Era. Studies in Big Data, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-45145-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-45145-9_6

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