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

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    Authors
    Zhao, Xia
    Zhao, Youbing
    Ersotelos, Nikolaos
    Fan, Dina
    Liu, Enjie
    Clapworthy, Gordon J.
    Dong, Feng
    Affiliation
    University of Bedfordshire
    Issue Date
    2013-11
    Subjects
    avatars
    data privacy
    database management systems
    medical information systems
    query processing
    storage management
    data repositories
    
    Metadata
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    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.
    Citation
    Zhao, X., Zhao, Y., Ersotelos, N., Fan, D., Liu, E., Clapworthy, G.J., Dong, F., (2013) "A scalable data repository for recording self-managed longitudinal health data of digital patients," Bioinformatics and Bioengineering (BIBE), IEEE 13th International Conference on, Chania, Greece, November 10-13.
    URI
    http://hdl.handle.net/10547/337003
    DOI
    10.1109/BIBE.2013.6701571
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6701571
    Type
    Conference papers, meetings and proceedings
    Language
    en
    Sponsors
    This work is supported in part by the European Commission under Grant FP7-ICT-9-5.2-VPH-600929 within the MyHealthAvatar project.
    ae974a485f413a2113503eed53cd6c53
    10.1109/BIBE.2013.6701571
    Scopus Count
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    Centre for Computer Graphics and Visualisation (CCGV)

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