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--- |
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language: |
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- es |
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bigbio_language: |
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- Spanish |
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license: cc-by-4.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC_BY_4p0 |
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pretty_name: CodiEsp |
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homepage: https://temu.bsc.es/codiesp/ |
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bigbio_pubmed: False |
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bigbio_public: True |
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bigbio_tasks: |
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- TEXT_CLASSIFICATION |
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- NAMED_ENTITY_RECOGNITION |
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- NAMED_ENTITY_DISAMBIGUATION |
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--- |
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# Dataset Card for CodiEsp |
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## Dataset Description |
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- **Homepage:** https://temu.bsc.es/codiesp/ |
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- **Pubmed:** False |
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- **Public:** True |
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- **Tasks:** TXTCLASS,NER,NED |
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Synthetic corpus of 1,000 manually selected clinical case studies in Spanish |
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that was designed for the Clinical Case Coding in Spanish Shared Task, as part |
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of the CLEF 2020 conference. |
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The goal of the task was to automatically assign ICD10 codes (CIE-10, in |
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Spanish) to clinical case documents, being evaluated against manually generated |
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ICD10 codifications. The CodiEsp corpus was selected manually by practicing |
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physicians and clinical documentalists and annotated by clinical coding |
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professionals meeting strict quality criteria. They reached an inter-annotator |
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agreement of 88.6% for diagnosis coding, 88.9% for procedure coding and 80.5% |
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for the textual reference annotation. |
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The final collection of 1,000 clinical cases that make up the corpus had a total |
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of 16,504 sentences and 396,988 words. All documents are in Spanish language and |
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CIE10 is the coding terminology (the Spanish version of ICD10-CM and ICD10-PCS). |
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The CodiEsp corpus has been randomly sampled into three subsets. The train set |
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contains 500 clinical cases, while the development and test sets have 250 |
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clinical cases each. In addition to these, a collection of 176,294 abstracts |
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from Lilacs and Ibecs with the corresponding ICD10 codes (ICD10-CM and |
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ICD10-PCS) was provided by the task organizers. Every abstract has at least one |
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associated code, with an average of 2.5 ICD10 codes per abstract. |
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The CodiEsp track was divided into three sub-tracks (2 main and 1 exploratory): |
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- CodiEsp-D: The Diagnosis Coding sub-task, which requires automatic ICD10-CM |
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[CIE10-Diagn贸stico] code assignment. |
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- CodiEsp-P: The Procedure Coding sub-task, which requires automatic ICD10-PCS |
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[CIE10-Procedimiento] code assignment. |
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- CodiEsp-X: The Explainable AI exploratory sub-task, which requires to submit |
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the reference to the predicted codes (both ICD10-CM and ICD10-PCS). The goal |
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of this novel task was not only to predict the correct codes but also to |
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present the reference in the text that supports the code predictions. |
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For further information, please visit https://temu.bsc.es/codiesp or send an |
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email to encargo-pln-life@bsc.es |
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## Citation Information |
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|
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``` |
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@article{miranda2020overview, |
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title={Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020.}, |
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author={Miranda-Escalada, Antonio and Gonzalez-Agirre, Aitor and Armengol-Estap{'e}, Jordi and Krallinger, Martin}, |
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journal={CLEF (Working Notes)}, |
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volume={2020}, |
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year={2020} |
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} |
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``` |
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