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dc.contributor.authorHadzic, Maja
dc.contributor.authorD'Souza, R.
dc.contributor.authorHadzic, Fedja
dc.contributor.authorDillon, Tharam S.
dc.contributor.editorS. Puuronen
dc.contributor.editorM. Pechenizkiy
dc.contributor.editorA. Tsymbal
dc.contributor.editorD.J. Lee
dc.date.accessioned2017-01-30T12:47:37Z
dc.date.available2017-01-30T12:47:37Z
dc.date.created2009-02-05T18:01:50Z
dc.date.issued2008
dc.identifier.citationHadzic, 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
dc.identifier.urihttp://hdl.handle.net/20.500.11937/25258
dc.identifier.doi10.1109/CBMS.2008.20
dc.description.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.

dc.publisherInstitute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.titleThinking PubMed: an innovative system for mental health domain
dc.typeConference Paper
dcterms.source.startPage330
dcterms.source.endPage335
dcterms.source.titleProceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)
dcterms.source.seriesProceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)
dcterms.source.isbn9780769531656
dcterms.source.conference21st IEEE International Symposium on Computer Based Medical Systems (CBMS 2008)
dcterms.source.conference-start-date17 Jun 2008
dcterms.source.conferencelocationJyvaskyla, Finland
dcterms.source.placeFinland
curtin.note

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.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Economics and Finance


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