University of Twente Student Theses
Towards a model for recommender systems for reminiscence therapy in Alzheimer’s disease
Mars, P.J. van der (2022) Towards a model for recommender systems for reminiscence therapy in Alzheimer’s disease.
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| Abstract: | As the most common form of dementia, Alzheimer’s Disease is one of the leading causes of death in the world. Because it is a disorder that becomes progressively worse, it is important that people suffering from Alzheimer get the best care at every stage of their procedure. A popular non-pharmaceutical treatment for Alzheimer’s Disease is reminiscence therapy, which aims to improve the cognitive abilities and general quality of life of the Alzheimer’s patient through their long-term memory. To enhance their reminiscence, it is important that each patient gets in touch with content they have memories from. However, picking the right content can be a difficult and long process, because every patient has a different background and different interests. To solve this, a recommender system could be used to recommend the right content for every patient in an automated approach. This research aims to create a model that can function as the basis for such a recommender system or individual reminiscence therapy in Alzheimer’s patients |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/91780 |
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