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Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
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DrugTEMIST Guidelines: Annotation of Medication in Medical Documents

Authors: Lima-López, Salvador; Farré-Maduell, Eulàlia; Krallinger, Martin;

DrugTEMIST Guidelines: Annotation of Medication in Medical Documents

Abstract

DrugTEMIST stands for Drug Text Mining Shared Task. It is a set of resources focused on the detection of medication mentions in clinical text in Spanish and other languages. DrugTEMIST is complementary to the DisTEMIST, ProcTEMIST and SympTEMIST corpora, as they all use the same document collection. This repository includes the Annotation Guidelines, a 17 pages-long document that describes how to annotate medications in medical documents. The guidelines are only available in Spanish. DrugTEMIST was released as part of the MultiCardioNER Shared Task. MultiCardioNER was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioASQ 2024. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/multicardioner. This task is promoted by Spanish and European projects such as DataTools4Heart, AI4HF, BARITONE and AI4ProfHealth. Resources MultiCardioNER Data (includes the DrugTEMIST corpus in Spanish, English and Italian) MultiCardioNER website BioASQ website 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 ()- Martin Krallinger () Additional resources and corpora If you are interested in MultiCardioNER, you might want to check out these corpora and resources: DisTEMIST (Corpus of disease mentions and normalization to SNOMED CT) MedProcNER (Corpus of clinical procedure mentions and normalization to SNOMED CT) SympTEMIST (Corpus of clinical findings and normalization to SNOMED CT) PharmaCoNER (Corpus of medications, drugs, chemical substances, genes, proteins and vaccine mentions and normalization) MEDDOPROF (Corpus of mentions of professions, occupations and working status and normalization) MEDDOPLACE (Corpus of mentions of place-related entity mentions, including departments, nationalities or patient movements etc.. and normalization) MEDDOCAN (Corpus of mentions of Personal Health Identifiers (PHI)) CANTEMIST (Corpus of cancer tumor morphology mentions and normalization) CodiESP (Corpus of clinical case reportes with assigned clinical codes from ICD10, Spanish version) LivingNER (Corpus of mentions of species, including human/family members, pathogens, food, etc.. and normalization to NCBI Taxonomy) SPACCC-POS (Corpus of clinical case reports in Spanish annotated with POS-tags) SPACCC-TOKEN (Corpus of clinical case reports in Spanish annotated with token-tags (word mention boundaries)) SPACCC-SPLIT (Corpus of clinical case reports in Spanish annotated with sentence boundary-tags) MESINESP-2 (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, clinical trials, and patent abstracts)

Keywords

clinical domain, annotation, natural language processing, bionlp

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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