Global & geographical mapping and visualization method for personal/collective health data with 5D world map system

Shiori Sasaki, Koji Murakami, Yasushi Kiyoki, Asako Uraki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new knowledge base creation method for personal/collective health data with knowledge of preemptive care and potential risk inspection with a global and geographical mapping and visualization functions of 5D World Map System. The final goal of this research project is a realization of a system to analyze the personal health/bio data and potential-risk inspection data and provide a set of appropriate coping strategies and alert with semantic computing technologies. The main feature of 5D World Map System is to provide a platform of collaborative work for users to perform a global analysis for sensing data in a physical space along with the related multimedia data in a cyber space, on a single view of time-series maps based on the spatiotemporal and semantic correlation calculations. In this application, the concrete target data for world-wide evaluation is (1) multi-parameter personal health/bio data such as blood pressure, blood glucose, BMI, uric acid level etc. and daily habit data such as food, smoking, drinking etc., for a health monitoring and (2) time-series multi-parameter collective health/bio data in the national/regional level for global analysis of potential cause of disease. This application realizes a new multidimensional data analysis and knowledge sharing for both a personal and global level health monitoring and disease analysis. The results are able to be analyzed by the time-series difference of the value of each spot, the differences between the values of multiple places in a focused area, and the time-series differences between the values of multiple locations to detect and predict a potential-risk of diseases.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXXII
EditorsMarina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
PublisherIOS Press BV
Pages134-149
Number of pages16
ISBN (Electronic)9781643681405
DOIs
Publication statusPublished - 2020 Dec 16
Event30th International conference on Information Modeling and Knowledge Bases, EJC 2020 - Virtual, Online, Germany
Duration: 2020 Jun 82020 Jun 9

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume333
ISSN (Print)0922-6389

Conference

Conference30th International conference on Information Modeling and Knowledge Bases, EJC 2020
CountryGermany
CityVirtual, Online
Period20/6/820/6/9

Keywords

  • Actuation
  • AI
  • Big Data
  • Biographical Data
  • Cyber-Physical System
  • Data Mining
  • Medical Data
  • Medicine
  • Processing
  • SDG3
  • SDGs
  • Semantic Computing
  • Semantic Search
  • Sensing
  • Sensing
  • SPA
  • UN
  • United Nation
  • Visualization
  • Vital Data
  • Warning

ASJC Scopus subject areas

  • Artificial Intelligence

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