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Effects of Home Care Technology: Enhancing Explainability in Machine Learning for Homecare Technology Selection

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorOoge, J.
dc.contributor.authorBarens, Willemijn
dc.date.accessioned2025-09-25T01:00:53Z
dc.date.available2025-09-25T01:00:53Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/50440
dc.description.abstractIn this thesis I designed and built a visual analytics tool that uses a K-means algorithm. The tool was specifically built for a dataset on clients in homecare that receive homecare technologies. It was tested through a qualitative study using case studies and interview questions with a think aloud protocol.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectEffects of Home Care Technology: Enhancing Explainability in Machine Learning for Homecare Technology Selection
dc.titleEffects of Home Care Technology: Enhancing Explainability in Machine Learning for Homecare Technology Selection
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsvisual analytics, homecare technology research, clustering algorithms
dc.subject.courseuuHuman-Computer Interaction
dc.thesis.id54158


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