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

  • J. Artur Serrano
  • Hamzeh Awad
  • Ronny Broekx
Chapter

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.

Keywords

Big Data Radar charts Virtual reality Healthcare Social care Population monitoring Epidemiology 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • J. Artur Serrano
    • 1
    • 2
  • Hamzeh Awad
    • 3
    • 4
  • Ronny Broekx
    • 5
  1. 1.Department of Neuromedicine and Movement Science, Faculty of Medicine and Health SciencesNTNU/Norwegian University of Science and TechnologyTrondheimNorway
  2. 2.Norwegian Centre for eHealth ResearchUniversity Hospital of North NorwayTromsøNorway
  3. 3.Health Science DepartmentKhawarizmi International College (KIC)Abu DhabiUAE
  4. 4.Department of Applied Science, College of Arts and Sciences, Public Health ProgramAbu Dhabi UniversityAbu DhabiUAE
  5. 5.Innovation DepartmentePointHamontBelgium

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