Expanding SNOMED-CT through Spanish Drug Summaries of Product Characteristics

Calleja Ibáñez, Pablo ORCID: https://orcid.org/0000-0001-8423-8240, García Castro, Raúl ORCID: https://orcid.org/0000-0002-0421-452X, Aguado de Cea, Guadalupe ORCID: https://orcid.org/0000-0003-0367-0299 and Gómez-Pérez, A. ORCID: https://orcid.org/0000-0002-3037-0331 (2017). Expanding SNOMED-CT through Spanish Drug Summaries of Product Characteristics. In: "9th International Conference on Knowledge Capture (K-CAP 2017)", 04-06 Dic 2017, Austin, Texas. ISBN 978-1-4503-5553-7. pp. 200-207. https://doi.org/10.1145/3148011.3148028.

Description

Title: Expanding SNOMED-CT through Spanish Drug Summaries of Product Characteristics
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 9th International Conference on Knowledge Capture (K-CAP 2017)
Event Dates: 04-06 Dic 2017
Event Location: Austin, Texas
Title of Book: Proceedings of the Knowledge Capture Conference
Date: 2017
ISBN: 978-1-4503-5553-7
Volume: 1
Subjects:
Freetext Keywords: SNOMED-CT; Named entity recognition; Mapping; Extension; Role
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Terminologies in the biomedical field are one of the main resources used in the clinical practice. Keeping them up-to-date to meet realworld use cases is a critical operation that even in the case of well maintained terminologies such as SNOMED-CT involves much effort from domain experts. Pharmacological products or drugs are constantly being approved and made available in the market and their clinical information should be also updated in terminologies. Each new drug is provided with its Summary of Product Characteristics (SPC), a document in natural language that contains its essential information. This paper proposes a method for populating the Spanish extension of SNOMED-CT with drug names using SPCs and representing their clinical data sections in the terminology. More precisely, the method has been applied to the therapeutic indication and the adverse reaction sections, in which disease names are recognized as named entities in the document and mapped to the terminology. The relations between the drug name and the mapped entities are also represented in the terminology based on the specific roles that they have in the document.

Funding Projects

Type
Code
Acronym
Leader
Title
Government of Spain
TIN2016-78011-C4-4
Unspecified
Universidad Politécnica de Madrid
DATOS 4.0: RETOS Y SOLUCIONES - UPM

More information

Item ID: 50225
DC Identifier: https://oa.upm.es/50225/
OAI Identifier: oai:oa.upm.es:50225
DOI: 10.1145/3148011.3148028
Official URL: https://dl.acm.org/citation.cfm?id=3148011
Deposited by: Memoria Investigacion
Deposited on: 27 Mar 2019 12:34
Last Modified: 03 May 2019 08:20
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