We have various projects available for structuring information appearing in free text in electronic health records related to
- anonymisation: recognising and masking sensitive patient information (such as patient name) in text data
- negation: recognition of negated symptoms/remarks (e.g. X individual did not display any reaction to medication Y, X is unwell, X is not aggressive, etc.)
- treatment or disease prognosis
We would like to investigate either knowledge-based or deep learning approaches and/or combine and evaluate existing approaches on real world data in Dutch.
The data available include: general practitioners patient notes, EHR from mental health centres and child psychiatric data.
The projects will be in collaboration with LUMC.
dr Kalliopi Zervanou & Prof. Marco Spruit