|PhD-student at Computational Linguistics and Psycholinguistics Research Center (CLiPS) and Advanced Database Research and Modelling (ADReM), University of Antwerp
External researcher at Antwerp University Hospital
I currently work as a PhD student at the University of Antwerp, under the supervision of prof. Bart Goethals and prof. Walter Daelemans. Previously, I obtained a MSc in Industrial Sciences: Electronics-ICT Engineering at the Artesis College in Antwerp.
My current PhD project is orientated towards predicting clinical codes (e.g. ICD-9-CM codes) for patient stays. This involves managing data from both structured and unstructured data sources in a real-life medical environment. The main issues tackled in this project are efficiently handling a large multi-class problem, managing data with a large amount of noise, retrieving complementary information in different sources (with a focus on representing and processing free text) and machine learning with a limited number of annotated examples.
Data integration of structured and unstructured sources for assigning clinical codes to patient stays
Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Walter Daelemans, Tim Van den Bulcke
Journal of the American Medical Informatics Association (JAMIA)
De-Identification of Clinical Free Text in Dutch with Limited Training Data: A Case Study.
Elyne Scheurwegs, Kim Luyckx, Filip Van der Schueren & Tim Van den Bulcke
In Proceedings of the Workshop on NLP for Medicine and Biology associated with RANLP (pp. 18-23).