Yvette obtained her M.Sc. Data Science degree at the Lulea Technical University (Sweden). Her M.Sc. dissertation was carried out on the topic “predicting a myocardial infarction (heart infarct) with prehospital text data” under the supervision of Saguna Saguna.
Currently, she is a Ph.D. student at Eindhoven University of Technology – Data Science Domain – Process Analytics cluster. She works on the Process & data analysis for hospital discharge optimalization under the supervision of Renata Medeiros de Carvalho.
| Position: | PhD Student |
| Room: | MF 7.060 |
| Tel (internal): | |
| Links: | |
| External links: | Scopus page ORCID page DBLP page TU/e page |
Recent courses
Recent presentations
Recent projects
Recent publications
- A Novel Way to Evaluate Medical Discharge Predictions: A Research Paper - van der Haas, Y., Medeiros de Carvalho, R., van Dijk, T., van Dongen, B. F., & Plas, R. (2025). A Novel Way to Evaluate Medical Discharge Predictions: A Research Paper. Paper presented at2st International Workshop on Process Mining Applications for Healthcare, PM4H25, Pavia, Italië.