Towards the mental health ontology

Hadzic, Maja; Chen, Meifania; Dillon, Tharam S.

doi:10.1109/BIBM.2008.59

116132_Towards%20the%20mental04684904.pdf (374.7Kb)

Access Status

Open access

Authors

Hadzic, Maja

Chen, Meifania

Dillon, Tharam S.

Date

2008

Type

Conference Paper

Metadata

Show full item record

Citation

Hadzic, 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.

Source Title

Proceedings of the IEEE international conference on bioinformatics and biomedicine (BIBM 2008)

Source Conference

IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2008)

DOI

10.1109/BIBM.2008.59

ISBN

9780769534527

Faculty

Curtin Business School

School of Information Systems

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/20.500.11937/16576

Collection

Curtin Research Publications

Abstract

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.