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dc.contributor.authorHadzic, Maja
dc.contributor.authorChen, Meifania
dc.contributor.authorDillon, Tharam S.
dc.contributor.editorX-W. Chen
dc.contributor.editorS. Kim
dc.identifier.citationHadzic, Maja and Chen, Meifania and Dillon, Tharam S. 2008. Towards the mental health ontology, in Chen, X-W. and Kim, S. (ed), International Conference on Bioinformatics and Biomedicine, Nov 3 2008, pp. 284-288. Philadelphia, USA: Institute of Electrical and Electronics Engineers (IEEE) Computer Society.

Lots of research have been done within the mental health domain, but exact causes of mental illness are still unknown. Concerningly, the number of people being affected by mental conditions is rapidly increasing and it has been predicted that depression would be the world's leading cause of disabilityby 2020. Most mental health information is found in electronic form. Application of the cutting-edge information technologies within the mental health domain has the potential to greatly increase the value of the available information. Specifically, ontologies form the basis for collaboration between researchteams, for creation of semantic web services and intelligent multi-agent systems, for intelligent information retrieval, and for automatic data analysis such as data mining. In this paper, we present Mental Health Ontology which can be used to underpin a variety of automatic tasks and positively transform the way information is being managed and used within the mental health domain.

dc.publisherInstitute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.titleTowards the mental health ontology
dc.typeConference Paper
dcterms.source.titleProceedings of the IEEE international conference on bioinformatics and biomedicine (BIBM 2008)
dcterms.source.seriesProceedings of the IEEE international conference on bioinformatics and biomedicine (BIBM 2008)
dcterms.source.conferenceIEEE International Conference on Bioinformatics and Biomedicine (BIBM 2008)
dcterms.source.conference-start-date3 Nov 2008
dcterms.source.conferencelocationPhiladelphia, USA

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curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems

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