Using machine learning for detecting anomalous accesses to EHRs: a comparative analysis and case study
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Lu, X. | |
dc.contributor.author | Belleman, B. | |
dc.date.accessioned | 2020-11-23T19:00:31Z | |
dc.date.available | 2020-11-23T19:00:31Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/38181 | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 2900539 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Using machine learning for detecting anomalous accesses to EHRs: a comparative analysis and case study | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Artificial Intelligence |