An ontology and constraint-based approach for dynamic personalized planning in healthcare

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dc.contributor.authorMahiddin, Normadiah
dc.date.accessioned2014-11-03T02:12:16Z
dc.date.available2014-11-03T02:12:16Z
dc.date.issued2009
dc.descriptionMasteren_US
dc.description.abstractHealthcare service providers are undoubtedly concerned about updating their patients’ health records or profiles, and the planning of their patients’ treatments to support the effective delivery of healthcare services. However, not all healthcare service providers are carrying out planning activities effectively, especially when it comes to computer-based planning (automated planning) due to shortcomings in current planning systems. Generally, three main research problems have been identified. The first problem is that most of the current plan representations or ontologies are too fine grained (detailed). We need to have a portable and intuitively easy representation that facilitates the storage and manipulation of generic plans. The second problem is that most of current planning systems are often static. Even though there are existing dynamic planning systems, they are however more-suited for domains with large and complex but partly vague and incomplete knowledge. As the results, we present a generic and dynamic healthcare planning system called DP (Dynamic Personalised) Planner, which is a compact planning system that is more-suited for obvious knowledge. Therefore, DP Planner provides (1) a suitably light-weight and generic plan representation based on a plan ontology, and (2) a constraint-based dynamic planning engine. The DP Planner can also be supported by a grid-based planning architecture.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/231
dc.language.isoenen_US
dc.subjectComputer Scienceen_US
dc.subjectOntologyen_US
dc.subjectHealthcareen_US
dc.titleAn ontology and constraint-based approach for dynamic personalized planning in healthcareen_US
dc.typeThesisen_US
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