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

Shiori Sasaki, Koji Murakami, Yasushi Kiyoki, Asako Uraki

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXXII
編集者Marina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
出版社IOS Press BV
ページ134-149
ページ数16
ISBN(電子版)9781643681405
DOI
出版ステータスPublished - 2020 12 16
イベント30th International conference on Information Modeling and Knowledge Bases, EJC 2020 - Virtual, Online, Germany
継続期間: 2020 6 82020 6 9

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
333
ISSN(印刷版)0922-6389

Conference

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

ASJC Scopus subject areas

  • Artificial Intelligence

フィンガープリント 「Global & geographical mapping and visualization method for personal/collective health data with 5D world map system」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル