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dc.contributor.advisorBenlamri, Rachid
dc.contributor.authorMohammadi Dinani, Namira
dc.date.accessioned2013-02-03T14:39:38Z
dc.date.available2013-02-03T14:39:38Z
dc.date.created2012-06
dc.date.issued2013-02-03
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/396
dc.description.abstractTraditionally, physicians rely on medical knowledge learned or acquired through practice to make a correct decision in diagnosis of diseases and affected medications. Progress in knowledge base systems and related Information Technology changed this situation by providing huge amount of medical information that can support physicians in the decision making. Integrating this great amount of information to retrieve the superlative results is however a demanding job. By introducing the concepts of Semantic Web, the sources of medical knowledge have amended to acquire the advantages of this concept and its technologies in gathering and representing the information and recommending superior decision from comprehensive information. Particularly, ontologies are recognized to enhance the efficiency of information management significantly and improve the dependability of communication especially when heterogeneous actors and diverse environments are involved.en_US
dc.language.isoen_USen_US
dc.subjectSemantic web techniquesen_US
dc.subjectDisease-drug ontologyen_US
dc.subjectOntologyen_US
dc.subjectOntology in medicineen_US
dc.subjectDrug recommendation decisionsen_US
dc.titleOntology development for drug-disease knowledge managementen_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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