Call for Abstracts
Relevant topics include, but are not limited to:
- Modeling clinical text in standard NLP tasks (tagging, chunking, parsing, entity identification, entity linking/normalization, relation extraction, coreference, summarization, etc.)
- Data sets with clinical texts
- Open source tools for Clinical NLP
- Information extraction from clinical text
- Information retrieval for clinical text
- Adapting standard NLP tools for clinical text
- De-identification and ways to preserve privacy in clinical data
- Using medical terminologies and ontologies
- Annotation schemes and annotation methodology for clinical data
- Evaluation methods for the clinical domain
- Text-based clinical prediction models
- Speech recognition for clinical text
- Generation of clinical notes: summarization, image-to-text, generation of notes from clinical conversations, etc.
- Domain adaptation and transfer learning techniques for clinical data
- Bias and fairness in clinical text
We invite researchers, clinicians, and industry professionals to submit abstracts for presentation at the 3rd Dutch Clinical NLP Workshop, focused on applications of NLP in healthcare. This workshop aims to bring together experts and enthusiasts in the field to share innovative research, discuss challenges, and explore the potential of NLP in improving clinical outcomes.
Deadline: May 1, 2024
Organizers
Sponsored by: