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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  • Cite this

    Puentes, J., & Lähteenmäki, J. (2011). Towards knowledge-based integration of personal health record data from sensors and patient observations. In Proceedings of the International Conference on Health Informatics, HEALTHINF 2011 (pp. 280-285). SciTePress.