Mining of health information from ontologies
dc.contributor.author | Hadzic, Maja | |
dc.contributor.author | Hadzic, Fedja | |
dc.contributor.author | Dillon, Tharam S. | |
dc.contributor.editor | Azevedo, L. | |
dc.contributor.editor | Landral, A. | |
dc.date.accessioned | 2017-01-30T10:47:36Z | |
dc.date.available | 2017-01-30T10:47:36Z | |
dc.date.created | 2008-11-12T23:36:16Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Hadzic, Maja and Hadzic, Fedja and Dillon, Tharam. 2008. : Mining of health information from ontologies, in Azevedo, Luis and Landral, Ana Rita (ed), International Conference on Health Informatics, 1st, Jan 28 2008, pp. 155-160. Funchal, Portugal: Instinct Press. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/5642 | |
dc.description.abstract |
Data mining techniques can be used to efficiently analyze semi-structured data. Semi-structured data are predominantly used within the health domain as they enable meaningful representations of the health information. Tree mining algorithms can efficiently extract frequent substructures from semi-structured knowledge representations. In this paper, we demonstrate application of the tree mining algorithms on the health information. We illustrate this on an example of Human Disease Ontology (HDO) which represents information about diseases in 4 ?dimensions?: (1) disease types, (2) phenotype (observable characteristics of an organism) or symptoms (3) causes related to the disease, namely genetic causes, environmental causes or micro-organisms, and (4) treatments available for the disease. The extracted data patterns can provide useful information to help in disease prevention, and assist in delivery of effective and efficient health services | |
dc.publisher | Instinct Press | |
dc.subject | Ontology mining | |
dc.subject | Health information system | |
dc.subject | Data mining | |
dc.subject | Tree mining | |
dc.subject | Ontology | |
dc.subject | Human disease ontology | |
dc.subject | Human disease study | |
dc.title | Mining of health information from ontologies | |
dc.type | Conference Paper | |
dcterms.source.startPage | 155 | |
dcterms.source.endPage | 160 | |
dcterms.source.title | Proceedings of the international conference on health informatics | |
dcterms.source.series | Proceedings of the international conference on health informatics | |
dcterms.source.conference | International Conference on Health Informatics, 1st | |
dcterms.source.conference-start-date | Jan 28 2008 | |
dcterms.source.conferencelocation | Funchal, Portugal | |
dcterms.source.place | Portugal | |
curtin.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.identifier | EPR-2864 | |
curtin.accessStatus | Open access |