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dc.contributor.advisorBenlamri, Rachid
dc.contributor.authorMohammed, Osama
dc.date.accessioned2012-11-11T03:26:23Z
dc.date.available2012-11-11T03:26:23Z
dc.date.created2012
dc.date.issued2012-11-10
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/316
dc.description.abstractThere is a growing realization that healthcare is a knowledge-intensive field. The ability to capture and leverage semantics via inference or query processing is crucial for supporting the various required processes in both primary (e.g. disease diagnosis) and long term care (e.g. predictive and preventive diagnosis). Given the wide canvas and the relatively frequent knowledge changes that occur in this area, we need to take advantage of the new trends in Semantic Web technologies. In particular, the power of ontologies allows us to share medical research and provide suitable support to physician's practices. There is also a need to integrate these technologies within the currently used healthcare practices. In particular the use of semantic web technologies is highly demanded within the clinicians' differential diagnosis process and the clinical pathways disease management procedures as well as to aid the predictive/preventative measures used by healthcare professionals.en_US
dc.language.isoen_USen_US
dc.subjectSemantic web technologiesen_US
dc.subjectDifferential diagnosis processen_US
dc.subjectDisease diagnosis ontology engineeringen_US
dc.subjectOntology managementen_US
dc.titleSemantic web system for differential diagnosis recommendationsen_US
dc.typeThesisen_US
etd.degree.nameM.Sc.en_US
etd.degree.levelMasteren_US
etd.degree.disciplineEngineering : Electrical & Computeren_US
etd.degree.grantorLakehead Universityen_US


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