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JSON file with abstracts from Lilacs and Ibecs with ICD10 codes (ICD10-CM and ICD10-PCS) associated to them (CIE10 in Spanish). Please, cite us: Miranda-Escalada, A., Gonzalez-Agirre, A., Armengol-Estapé, J., Krallinger, M.: 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) (2020) @inproceedings{miranda2020overview, title={Overview of automatic clinical coding: annotations, guidelines, and solutions for non-english clinical cases at codiesp track of CLEF eHealth 2020}, author={Miranda-Escalada, Antonio and Gonzalez-Agirre, Aitor and Armengol-Estap{\'e}, Jordi and Krallinger, Martin}, booktitle={Working Notes of Conference and Labs of the Evaluation (CLEF) Forum. CEUR Workshop Proceedings}, year={2020} } Lilacs and Ibecs databases have MeSH terms describing some of their documents. Then, using UMLS Metathesaurus, those MeSH terms have been translated into ICD10 codes (ICD10-CM and ICD10-PCS). Every abstract have at least one ICD10 code. In addition, MeSH codes given by the databases (Lilacs and Ibecs) have a "word" describing them. These "words" have been used to add further ICD10 codes. We have done strict string matching to find whether those "words" were a descriptor of any ICD10 code (in the Spanish version, CIE10). The format of the JSON file is the following: {'articles': [{'title': 'title', 'pmid': 'pmid', 'abstractText': 'abtract (in Spanish)', 'Mesh': [{'Code': 'MeSHCode', 'Word': 'reference', 'CIE': [CIE10_1, CIE10_2, ...]}, ...] }, ...] } Additionally, the compressed file includes a folder with all the abstracts extracted in individual UTF-8 encoded text files and a tab-separated file with 4 fields: pmid label cie10-code word Summary statistics: number of abstracts: 355 840 number abstracts with at least one ICD10 code: 176 294 Percentage of MeSH codes mapped to ICD10: 10.6% (there were 2 526 772 MeSH codes and 266 949 mapped to ICD10) average number of MeSH codes per article: 7.1 average number of ICD10 codes per article: 2.5 number of ICD10 codes that have an associated MeSH code in UMLS: 3293 number of ICD10 codes that have an associated MeSH code in UMLS and appear in this dataset: 3082
Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
ICD10, Ibecs, CIE10, CodiEsp, medical coding, Lilacs, NLP, Web scraping
ICD10, Ibecs, CIE10, CodiEsp, medical coding, Lilacs, NLP, Web scraping
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 65 | |
| downloads | 109 |

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