The Dutch Clinical NLP Workshop



This year’s program features a diverse set of contributions to Dutch clinical NLP. At the workshop, you will be able to meet the minds behind the following projects:
Finding the Clinical Traces of Cognitive Impairment in Patients with Heart Failure by Text Mining of Clinical Letters from Routine Care

L. Malin Overmars, Bram van Es, Sander C. Tan, Jet M. J. Vonk, Majon Muller, Mark C. H. De Groot, Geert Jan Biessels, M.G. Van der Meer, Wouter W. van Solinge, Saskia Haitjema, Michiel L. Bots, Lieza G. Exalto


Extraction of signs and symptoms from Dutch primary care electronic health records notes for patients with acute lower respiratory tract infections: a comparison of NLP approaches

Matthew Scheeres, Isa Spiero, Merijn Rijk, Roderick Venekamp, Artuur Leeuwenberg


Leveraging weak supervision and medical terminologies to improve machine learning performance for comorbidity identification in clinical documents

Sylvain Brouwer, Jeroen Geerdink, Maurice van Keulen, Johannes J. Hegeman


clinlp: a collaborative platform for advancing Dutch clinical NLP

Vincent Menger, Bram van Es, Mark Snackey


Development of a gold standard Dutch clinical corpus for adverse drug event detection: the Dutch ADE corpus
Rachel Murphy
Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools

Tom Seinen


A Natural Language Processing Approach Towards Harmonized Communication of Uncertainties Identified During the European Medicine Authorization Process

Stefan Verweij, Vincent Haverhoek, Erik Bergman, Gabriel Westman, Lourens T. Bloem


Exploring Patient Stories with the SUMMA Tool: An NLP Clustering and Visualization Approach to Understanding Waiting Experiences in Healthcare

Nada Akrouh, Nick Jelicic, Rik Wehrens, Hester van de Bovenkamp


Semi-Supervised Learning for Adverse Drug Event Detection in Dutch Clinical Notes using Open Source LLMs

Nishant Mishra, Iacer Calixto, Rachel Murphy


First steps towards DutchMed

Marijn Schraagen, Forrest Garretsen, Bram van Es


NLP approaches to Check the Completeness and Compliance of Prostate Screening Reports Based on Guidelines.

Hridya Nair Suresh, Dr. Shenghui Wang, Jeroen Geerdink


Improving Clinical Named Entity Linking for Dutch using Finetuned BioLORD Models

François Remy


Classification of Emergency Room Open Text Diagnoses

Rianne Kaptein, Onno Valkering


Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities

Daniel Anadria, Anastasia Giachanou, Jacqueline Kernahan, Roel Dobbe, Daniel Oberski


Exploring gender fairness in MH NLP: A study of EHR Data Application

Gizem Sogancioglu, Pablo Mosterio, Albert Ali Salah, Floortje Scheepers, Heysem Kaya


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