dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Brinkkemper, Sjaak | |
dc.contributor.author | Braak, Koen van den | |
dc.date.accessioned | 2023-02-17T01:01:02Z | |
dc.date.available | 2023-02-17T01:01:02Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43551 | |
dc.description.abstract | There 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.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Designing a solution to the administrative burden in the nursing and geriatric care sectors by automatically summarising performance assessments using various linguistic techniques. | |
dc.title | Care2Report: Dialogue summarisation for geriatric performance assessments | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Business Informatics | |
dc.thesis.id | 13986 | |