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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorBrinkkemper, Sjaak
dc.contributor.authorBraak, Koen van den
dc.date.accessioned2023-02-17T01:01:02Z
dc.date.available2023-02-17T01:01:02Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/43551
dc.description.abstractThere is an administrative burden in healthcare. This thesis presents a solution to the administrative burden in geriatrics and nursing by creating a pipeline of linguistic techniques that allow for the automatic summarization of conversations for geriatric performance assessment. Ontology learning, Narrative information extraction and conversation interpretation techniques were used to extract the assessment-relevant information from interviews. We proposed using a sentence parser to extract the most essential syntactic components from sentences and using a sentence realiser to build new summarised sentences.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectDesigning a solution to the administrative burden in the nursing and geriatric care sectors by automatically summarising performance assessments using various linguistic techniques.
dc.titleCare2Report: Dialogue summarisation for geriatric performance assessments
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuBusiness Informatics
dc.thesis.id13986


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