Ontology-based support for human disease study
dc.contributor.author | Hadzic, Maja | |
dc.contributor.author | Chang, Elizabeth | |
dc.date.accessioned | 2017-01-30T14:48:09Z | |
dc.date.available | 2017-01-30T14:48:09Z | |
dc.date.created | 2008-11-12T23:21:43Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Hadzic, Maja and Chang, Elizabeth. 2005. : Ontology-based support for human disease study, 38th Annual Hawaii International Conference on Systems Sciences 2005 (HICSS'05), Jan 03 2005, pp. 143a-143a. Hawaii: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/41098 | |
dc.description.abstract |
In this paper, we discuss an ontology-based system and approach that provides interoperability support for research in, and diagnosis of, human disease. The proposed solution incorporates a prototype for a GENERIC HUMAN DISEASE ONTOLOGY that contains common general information regarding human diseases. This proposed Generic Human Disease Ontology represents the information in 4 ?dimensions?: (1) disease types, (2) phenotype (observable characteristics of an organism) or symptoms (3) causes related to the disease, namely genetic causes (genes, gene complexes and DNA regions of interest) and environmental causes (such as stress, family condition, drugs, climate etc.), and (4) treatments available for the disease such as drug therapy, chemotherapy, physiotherapy, psychotherapy, surgery etc. The Generic Human Disease Ontology aims to support also the study of complex disorders caused by many different factors simultaneously e.g. the case of manic depressive disorders. We illustrate how this Generic Human Disease Ontology helps to produce Generic Human Disease Ontology on request, as support tool for physicians and medical researchers. | |
dc.publisher | IEEE | |
dc.subject | human disease | |
dc.subject | Unified Medical Language System | |
dc.subject | human disease study | |
dc.subject | ontology | |
dc.subject | generic human disease | |
dc.subject | bi-polar disorder | |
dc.subject | DNA | |
dc.subject | information systems | |
dc.subject | manic depression | |
dc.subject | UMLS | |
dc.title | Ontology-based support for human disease study | |
dc.type | Conference Paper | |
dcterms.source.startPage | 143a | |
dcterms.source.endPage | 143a | |
dcterms.source.title | Proceedings of the Thirty-Eigth Annual Hawaii International Conference on Systems Sciences 2005 (HICSS'05) | |
dcterms.source.series | Proceedings of the Thirty-Eigth Annual Hawaii International Conference on Systems Sciences 2005 (HICSS'05) | |
dcterms.source.conference | 38th Annual Hawaii International Conference on Systems Sciences 2005 (HICSS'05) | |
dcterms.source.conference-start-date | Jan 03 2005 | |
dcterms.source.conferencelocation | Hawaii | |
curtin.note |
Copyright 2005 IEEE | |
curtin.note |
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.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.identifier | EPR-602 | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | School of Information Systems |