Explainable AI

In this task, systems are required to return, in addition to clinical code assignments (ICD-10-CM and ICD10-PCS codes), supporting evidence texts extracted from documents. 

Se proporcionó una lista de códigos válidos para esta tarea con su descripción en inglés y español, que está disponible en https://zenodo.org/record/3706838.

Publication
Miranda-Escalada, A., Gonzalez-Agirre, A., Armengol-Estapé, J., Krallinger, M. (2020) Overview of automatic clinical coding: annotations, guidelines, and solutions for non-English clinical cases at CodiEsp track of eHealth CLEF 2020. In: CLEF (Working Notes)
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2020
Ranking metric
F1

Task results

System Precision Recall F1 Sort ascending
FLE 0.6870 0.5620 0.6110
IAM 0.7500 0.5240 0.6110
Anuj 0.5720 0.4560 0.5070
The Mental Strokers 0.5340 0.4780 0.5050
UDC-UA 0.6780 0.4920 0.4630

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.