ClinAIS: Automatic Identification of Sections in Clinical Documents in Spanish

The ClinAIS shared task aims to tackle the identification of seven section types within unstructured clinical records in the Spanish language. The task is focused on identifying seven predefined medical sections: Present Illness, Derived from/to, Past Medical History, Family history, Exploration,
Treatment, and Evolution in ECNs, mainly progress notes.

Publication
Iker De la Iglesia, María Vivó, Paula Chocrón, Gabriel de Maeztu, Koldo Gojenola, Aitziber Atutxa (2023) Overview of ClinAIS at IberLEF 2023: Automatic Identification of Sections in Clinical Documents in Spanish Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 289-299.
Competition
ClinAIS: Automatic identification of sections in clinical documents
Language
Spanish
URL Task
http://ixa2.si.ehu.eus/clinais/
NLP topic
text classification
Abstract task
Classification
Dataset
ClinAIS 2023
Year
2023
Publication link
http://journal.sepln.org/sepl…

Task results

System b2
LSI UNED 0.79
LSI UNED 0.78
LSI UNED 0.78
ELiRF 0.80
LSI UNED 0.77
ELiRF 0.80
LSI UNED 0.76
ELiRF 0.78
ELiRF 0.78
ELiRF 0.77

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.