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PROVIDING PERSONALIZED MEDICATION INFORMATION TO PATIENTS WITH TYPE 2 DIABETES

dc.contributor.authorSabri, Sarah
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Health Informaticsen_US
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerN/Aen_US
dc.contributor.graduate-coordinatorDr. Evangelos Miliosen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Samuel Stewarten_US
dc.contributor.thesis-readerDr. Syed Sibte Raza Abidien_US
dc.contributor.thesis-supervisorDr. Vlado Keseljen_US
dc.contributor.thesis-supervisorDr. Samina Abidien_US
dc.date.accessioned2021-07-06T14:41:06Z
dc.date.available2021-07-06T14:41:06Z
dc.date.defence2021-04-20
dc.date.issued2021-07-06T14:41:06Z
dc.description.abstractThere is a gap between the amount of medication information desired by patients and information provided to them by health care providers at the point of care. To address unmet drug information needs for patients, this research takes a knowledge management approach to design and develop an ontology-driven knowledge-based system with the goal of providing patients with personalized medication information about their prescribed antidiabetic drugs. The evaluation results demonstrated the technical feasibility and application prospects of our solution to inform patients on elements of medication information in anti-diabetic drug regimens during their office visits.en_US
dc.identifier.urihttp://hdl.handle.net/10222/80579
dc.language.isoenen_US
dc.subjectOntology.en_US
dc.subjectpersonalizeden_US
dc.subjectSemantic Weben_US
dc.subjectPatient educationen_US
dc.subjectmedication knowledgeen_US
dc.subjectknowledge modelingen_US
dc.subjectExpert systems (Computer science)en_US
dc.titlePROVIDING PERSONALIZED MEDICATION INFORMATION TO PATIENTS WITH TYPE 2 DIABETESen_US

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