University of Twente Student Theses
FutureType : Word completion for medical reports
Brandl, L. (2020) FutureType : Word completion for medical reports.
|
PDF
3MB |
| Abstract: | The current research contributes to the development of FutureType, a word completion tool for medical reports, from two perspectives. First, we evaluate the potential of a set of meta features about the patient, author and the report itself to improve FutureType's prediction capacity. Second, we conduct a large scale split test involving the collection of keystroke data from ten customer organizations of Nedap Healthcare, involving 7062 healthcare professionals and spanning 14 and a half weeks to investigate the transferability of instrinsic metrics of language model performance to evaluation with real end users. Our results pave the first steps towards a meta-enriched FutureType as we find distinctive power regarding vocabulary choices for three meta features: the healthcare sector a report originates from, the type of the report and the expertise of the author of the report. The results from the split test advocate a holistic approach to the evaluation of text prediction applications that takes into account both, the system's utility (i.e., the quality of its predictions) and its usability. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Interaction Technology MSc (60030) |
| Link to this item: | https://purl.utwente.nl/essays/80912 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page