• DocumentCode
    570270
  • Title

    Intelligent health information system to empower patients with chronic diseases

  • Author

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

  • Author_Institution
    Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    734
  • Lastpage
    737
  • Abstract
    Semantic Web technologies can be utilized to keep patients informed on the latest research on chronic diseases such as diabetes, by gathering online information published by both government and corporate sources. To assemble our Intelligent Health Information System, we created an ontology of terms related to diabetes. Then we leveraged an open-source API to read the ontology into a graphical application, which we also built in an open-source development environment. The application searched for articles on diabetes using a web service and a web crawler. The ultimate goal for our system is to synthesize the information that it gathers, make it customer-specific, and present it to the patient in an easy to understand format.
  • Keywords
    Web services; application program interfaces; bioinformatics; diseases; health care; medical information systems; ontologies (artificial intelligence); public domain software; semantic Web; Web crawler; Web service; biomedical informatics; chronic diseases; corporate sources; government sources; graphical application; intelligent health information system; online information gathering; ontology; open-source API; open-source development environment; patient empowerment; semantic Web technologies; Crawlers; Databases; Diabetes; OWL; Ontologies; Web services; Biomedical Informatics; Intelligent Health Information System; Semantic Web; Web Crawler; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-2282-9
  • Electronic_ISBN
    978-1-4673-2283-6
  • Type

    conf

  • DOI
    10.1109/IRI.2012.6303085
  • Filename
    6303085