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A scalable data repository for recording self-managed longitudinal health data of digital patients

  • Xia Zhao
    ,
  • Youbing Zhao
    ,
  • Nikolaos Ersotelos
    ,
  • Dina Fan
    ,
  • Enjie Liu
    ,
  • Gordon Clapworthy
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 09/01/2014

Publication status

Published - 09/01/2014

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781479931637

Publication IDs

  • handle.net: 10547/337003
  • Scopus: 84894218885

Host publication title

13th IEEE International Conference on BioInformatics and BioEngineering

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