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    Thinking PubMed: an innovative system for mental health domain

    116072_ThinkingPubMed04562012.pdf (410.2Kb)
    Access Status
    Open access
    Authors
    Hadzic, Maja
    D'Souza, R.
    Hadzic, Fedja
    Dillon, Tharam S.
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hadzic, Maja and D'Souza, Russel and Hadzic, Fedja and Dillon, Tharam. 2008. Thinking PubMed: an innovative system for mental health domain, in Puuronen, S. and Pechenizkiy, M. and Tsymbal, A. and Lee, D.J. (ed), 21st IEEE International Symposium on Computer Based Medical Systems, Jun 17 2008, pp. 330-335. Jyvaskyla, Finland: Institute of Electrical and Electronics Engineers (IEEE) Computer Society
    Source Title
    Proceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)
    Source Conference
    21st IEEE International Symposium on Computer Based Medical Systems (CBMS 2008)
    DOI
    10.1109/CBMS.2008.20
    ISBN
    9780769531656
    Faculty
    Curtin Business School
    School of Economics and Finance
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/25258
    Collection
    • Curtin Research Publications
    Abstract

    Information regarding mental illness is dispersed over various resources but even within a specific resource, such as PubMed, it is difficult to link this information, to share it and find specific information when needed. Specific and targeted searches are very difficult with current search engines as they look for the specific string of letters within the text rather than its meaning.In this paper we present Thinking PubMed as a system that results from synergy of ontology and data mining technologies and performs intelligent information searches using the domain ontology. Furthermore, the Thinking PubMed analyzes and links the retrieved information, and extracts hidden patterns and knowledge using data mining algorithms. This is a new generation of information-seeking tool where the ontology and data-mining work in concert to increase the value of the available information.

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