ELCardioCC Challenge: Advancing Clinical Coding in Cardiology
ELCardioCC challenge: advancing clinical coding in cardiology through named entity recognition, entity linking, multi-label classification, and explainable AI.
The Aristotle University of Thessaloniki, in collaboration with Archimedes, is organizing a challenge on clinical coding of discharge letters from the cardiology department of a tertiary hospital in Greece.
The ELCardioCC challenge includes tasks on named entity recognition, entity linking, multi-label classification, and explainable AI.
This challenge is part of the greater BioASQ challenge, a lab of CLEF 2025 taking place in Madrid on September 9-12, 2025.
More details can be found at: https://elcardiocc.web.auth.gr/.
- Named Entity Recognition
- Entity Linking
- Multi-label Classification
- Explainable AI
We look forward to your participation in ELCardioCC!
Tags: ELCardioCC, Clinical Coding, Cardiology, Named Entity Recognition, Entity Linking, Multi-label Classification, Explainable AI, BioASQ