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SympTEMIST Guidelines: Annotation and Normalization for Clinical Symptoms, Signs and Findings

Authors: Lima-López, Salvador; Eulàlia Farré-Maduell; Vigil-Giménez, Laura; Gascó-Sánchez, Luis; Krallinger, Martin;

SympTEMIST Guidelines: Annotation and Normalization for Clinical Symptoms, Signs and Findings

Abstract

SympTEMIST stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) as they all use the same document collection. This repository includes the Annotation Guidelines, a 20+ pages-long document that describes how to annotate symptoms, signs and findings in medical documents. The guidelines are only available in Spanish. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCreative VIII. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. Related Links: - SympTEMIST website: https://temu.bsc.es/symptemist - Gold Standard data: https://doi.org/10.5281/zenodo.8223653 License This work is licensed under a Creative Commons Attribution 4.0 International License. Contact If you have any questions or suggestions, please contact us at: - Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>) - Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)

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Keywords

annotation, ner, symptoms, clinical nlp, guidelines, entity linking

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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