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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorNimmagadda, Sashi
dc.contributor.authorDreher, Heinz
dc.date.accessioned2017-01-30T14:35:15Z
dc.date.available2017-01-30T14:35:15Z
dc.date.created2008-11-12T23:36:14Z
dc.date.issued2008
dc.identifier.citationNimmagadda, Shastri L. and Nimmagadda, Sashi K. and Dreher, Heinz. 2008. : Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management, in Chang, Elizabeth and Hussain, Farookh Khadeer (ed), Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on, 26 Feb 2008, pp. 212-220. Phitsanulok, Thailand: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/39582
dc.identifier.doi10.1109/DEST.2008.4635209
dc.description.abstract

Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of paper. The federal governments of various countries have passed policies and initiatives that focus on introducing information systems into the health care sector. Technology will immensely reduce the cost of managing patients and even reduce the risks of mis-diagnosing and prescribing incorrectmedications to patients. This paper primarily focuses on introducing the concept of ontology based warehouse modelling and managing ecology of human body for disease and drug prescription management. Disorders of the human body and factors such as the patient?s age, living and working conditions, familial and genetic influences can be simulated into Metadata in a warehousing environment. In this environment, various relationships are identified and described between these factors and the diseases. Secondly, we also introduce ontological representation of the various human body systems such as the digestive, musculoskeletal and nervous system in disease processes. Although this is an extensive and complex knowledge domain, the work in this paper is one of the first to attempt to introduce the use of ontology based data warehousing and data mining conceptually. We also aim at implementing and applying this research in practice.

dc.publisherIEEE
dc.subjectdata mining
dc.subjectdisease - management
dc.subjectdata warehousing
dc.subjectontology
dc.subjectdiseases
dc.subjecthuman body
dc.titleOntology based data warehouse modeling and managing ecology of human body for disease and drug prescription management
dc.typeConference Paper
dcterms.source.startPage212
dcterms.source.endPage220
dcterms.source.titleDigital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
dcterms.source.seriesDigital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
dcterms.source.conferenceDigital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
dcterms.source.conference-start-date26 Feb 2008
dcterms.source.conferencelocationPhitsanulok, Thailand
dcterms.source.placeThailand
curtin.identifierEPR-2745
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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