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Nature-Inspired Radar Charts as an Innovative Big Data Analysis Tool

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Applications of Big Data Analytics

Abstract

A radar chart is a known graphical method for displaying multivariate data in the form of a two-dimensional chart. This type of graphical representation has been used for the visualization of large amounts of data over a given time period [1]. In healthcare, each year there are more and more tracked data. It is expected that by 2030, with the rapid evolution of the Internet of things, the vision of a Quantified Self or lifelogging [2] can become a reality with zettabytes and even yottabytes of data regarding personal health information potentially available.

We propose a multivariate and dynamic data representation model for the visualization of large amounts of healthcare data, both historical and real time. This will allow for population monitoring (e.g. outbreak detection) and for personalized health applications (self-help, personal health check-up). Due to increased life expectancy and an ageing population, a general view and understanding of people health is becoming more and more a necessity to help reduce expenditure in healthcare.

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Author information

Authors and Affiliations

  1. Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU/Norwegian University of Science and Technology, Trondheim, Norway

    J. Artur Serrano

  2. Norwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway

    J. Artur Serrano

  3. Health Science Department, Khawarizmi International College (KIC), Abu Dhabi, UAE

    Hamzeh Awad

  4. Department of Applied Science, College of Arts and Sciences, Public Health Program, Abu Dhabi University, Abu Dhabi, UAE

    Hamzeh Awad

  5. Innovation Department, ePoint, Hamont, Belgium

    Ronny Broekx

Authors
  1. J. Artur Serrano
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  2. Hamzeh Awad
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  3. Ronny Broekx
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Editor information

Editors and Affiliations

  1. Al Khawarizmi International College, Abu Dhabi, United Arab Emirates

    Mohammed M. Alani

  2. Leeds Beckett University, Leeds, United Kingdom

    Hissam Tawfik

  3. University of Modern Sciences, Dubai, United Arab Emirates

    Mohammed Saeed

  4. IBM Research, San Jose, California, USA

    Obinna Anya

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Artur Serrano, J., Awad, H., Broekx, R. (2018). Nature-Inspired Radar Charts as an Innovative Big Data Analysis Tool. In: Alani, M., Tawfik, H., Saeed, M., Anya, O. (eds) Applications of Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-76472-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-76472-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76471-9

  • Online ISBN: 978-3-319-76472-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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