• DocumentCode
    613634
  • Title

    Leveraging semantic web to retrieve customized medical information

  • Author

    Islam, Shariful ; Freytag, G. ; Shankar, Raji

  • Author_Institution
    Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2013
  • fDate
    15-18 April 2013
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    We are developing a web based application for use by diabetes patients to manage their chronic condition. The application will allow patients to keep abreast of the latest developments as pertinent to their specific condition (type, risk factors, medication, history, preferences, etc.), interact with others in a community of users, and have more effective dialog with their health care providers. This paper will document our recent developmental efforts to incorporate semantic web concepts and health information technology infrastructure.
  • Keywords
    health care; information retrieval; medical information systems; semantic Web; chronic condition management; diabetes patient; health information technology infrastructure; medical information retrieval; semantic Web; Communities; Databases; Diabetes; OWL; Ontologies; Health IT; Semantic Web; Semantic Web Rule Language; Web Ontology Language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2013 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-3107-4
  • Type

    conf

  • DOI
    10.1109/SysCon.2013.6549891
  • Filename
    6549891