| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Brinkkemper, Prof. dr. S. | |
| dc.contributor.advisor | Wagenaar, Dr. G. | |
| dc.contributor.author | Koffijberg, B. | |
| dc.date.accessioned | 2020-04-16T18:00:11Z | |
| dc.date.available | 2020-04-16T18:00:11Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/35637 | |
| dc.description.abstract | The aim of the C2R program is to develop a hardware and software platform for automated medical reporting, to remove the writing and typing during and after a medical consultation. The objective of this study is to develop an integrated testing environment for the C2R research project. The solution that will be designed and create is a multimodal database for the multimodal test data that is collected during this research. This is done by making use of three innovative technologies.
1. Speak to text
2. Movement to text
3. Measurement to text
All the text that is created from the patient session is combined in a medical standard for patient information documenting. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 3243615 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.title | Care2Report: Data management for a multimodal corpus | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Data management, multimodal, multimedia, multimodal database, multimodal corpus, metadata en Yoda | |
| dc.subject.courseuu | Business Informatics | |
