Completing missing MeSH code mappings in UMLS through alternative expert-curated sources

García del Valle, Eduardo Pantaleón and Lagunes García, Gerardo and Prieto Santamaría, Lucía and Zanin, Massimiliano and Rodríguez González, Alejandro and Menasalvas Ruiz, Ernestina (2019). Completing missing MeSH code mappings in UMLS through alternative expert-curated sources. In: "32nd International Symposium on Computer-Based Medical Systems (CBMS)", 05-07 Jun 2019, Cordoba, España. pp. 174-179. https://doi.org/10.1109/CBMS.2019.00044.

Description

Title: Completing missing MeSH code mappings in UMLS through alternative expert-curated sources
Author/s:
  • García del Valle, Eduardo Pantaleón
  • Lagunes García, Gerardo
  • Prieto Santamaría, Lucía
  • Zanin, Massimiliano
  • Rodríguez González, Alejandro
  • Menasalvas Ruiz, Ernestina
Item Type: Presentation at Congress or Conference (Article)
Event Title: 32nd International Symposium on Computer-Based Medical Systems (CBMS)
Event Dates: 05-07 Jun 2019
Event Location: Cordoba, España
Title of Book: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
Date: 2019
Subjects:
Freetext Keywords: Disease classification, Disease code mapping, MeSH, ICD-10, SNOMED CT, UMLS
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The increasing availability of biological, clinical and literary sources enables the study of diseases from a more comprehensive approach. However, the interoperability of these sources, particularly of the codes used to identify diseases, poses a major challenge. Because of its role as a hub of multiple medical vocabularies, the Unified Medical Language System (UMLS) has become one of the most widely used resources for mapping diseases from different classification systems. The coverage of these mappings, nevertheless, is still insufficient, so researchers must resort to other methods to fill these gaps. In this article we analyze the limitations in UMLS mappings for the MeSH, ICD-10 and SNOMED CT vocabularies and propose the exploitation of alternative expert-curated sources to complete it. As a result, we demonstrate that this approach allows resolving more than 50% of the missing mappings for these vocabularies. All the findings are shared for validation and reuse.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020727658IASISNational Center for Scientific Research DEMOKRITOSIntegration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients

More information

Item ID: 66941
DC Identifier: http://oa.upm.es/66941/
OAI Identifier: oai:oa.upm.es:66941
DOI: 10.1109/CBMS.2019.00044
Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8787463
Deposited by: Memoria Investigacion
Deposited on: 07 May 2021 05:54
Last Modified: 07 May 2021 05:54
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