Artificial Intelligence in Medicine
Volume 47, Issue 2 , Pages 87-103, October 2009

An ontology-based approach to enhance querying capabilities of general practice medicine for better management of hypertension

  • Thusitha Mabotuwana

      Affiliations

    • Department of Computer Science - Tamaki, The University of Auckland, Private Bag 92019, Auckland, New Zealand
    • Corresponding Author InformationCorresponding author. Tel.: +64 9 373 7599x88489; fax: +64 9 303 5932.
    • ,
  • Jim Warren

      Affiliations

    • Department of Computer Science - Tamaki, The University of Auckland, Private Bag 92019, Auckland, New Zealand
    • Section for Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Private Bag 92019, Auckland, New Zealand

Received 31 July 2008; received in revised form 24 March 2009; accepted 16 July 2009.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

PII: S0933-3657(09)00096-7

doi:10.1016/j.artmed.2009.07.001

Artificial Intelligence in Medicine
Volume 47, Issue 2 , Pages 87-103, October 2009

Article Tools

* Image Usage & Resolution