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dc.contributor.advisorLangseth, Helge
dc.contributor.advisorBach, Kerstin
dc.contributor.authorPrestmo, Tale
dc.date.accessioned2017-11-10T15:01:13Z
dc.date.available2017-11-10T15:01:13Z
dc.date.created2017-06-01
dc.date.issued2017
dc.identifierntnudaim:14270
dc.identifier.urihttp://hdl.handle.net/11250/2465618
dc.description.abstractThis thesis aims to create exercise plans for patients with low back pain and is a part of the research project selfBACK. Case-based reasoning is used to create the exercise plans, which is the process of solving new problems by reusing solutions of similar previous problems. The main focus of the thesis is to explore how the reused solutions can be adapted to fit the needs of the patient better. Different adaptation methods are explored, and two methods are applied within the SELFBACK setting. In the experiments, the solutions created by the adaptation methods are evaluated against solutions where no adaptation is performed. The results of the experiments show promising results, indicating that adaptation further improves the creation of exercise plans.
dc.languageeng
dc.publisherNTNU
dc.subjectInformatikk, Kunstig intelligens
dc.titleDecision support in patient-centered health care
dc.typeMaster thesis


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