Towards knowledge-based integration of personal health record data from sensors and patient observations

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Personal Health Records (PHR) containing physiological data collected by multiple sensors are being increasingly used for wellness monitoring or disease management. These abundant complementary raw data could be nevertheless disregarded given the challenges to understand and process it. We propose a knowledge-based integration model of PHR data from sensors and personal observations, intended to facilitate decision support in scenarios of cardiovascular disease monitoring. The model relates knowledge at three data integration layers: elements identification, relations assessment, and refinement. Details on specific elements of each layer are provided, along with a discussion of use and implementation guidelines
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Health Informatics, HEALTHINF 2011
    PublisherSciTePress
    Pages280-285
    ISBN (Print)978-9-8984-2534-8
    Publication statusPublished - 2011
    MoE publication typeA4 Article in a conference publication
    EventInternational Conference on Health Informatics, HEALTHINF 2011 - Rome, Italy
    Duration: 26 Jan 201129 Jan 2011

    Conference

    ConferenceInternational Conference on Health Informatics, HEALTHINF 2011
    Abbreviated titleHEALTHINF 2011
    CountryItaly
    CityRome
    Period26/01/1129/01/11

    Keywords

    • Body monitoring
    • data understanding
    • heterogeneous data integration
    • knowledge model
    • personal health record
    • physiological sensors

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