Memorias de investigación
Ponencias en congresos:
Expanding SNOMED-CT through Spanish Drug Summaries of Product Characteristics
Año:2017
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
Nombre congreso
Knowledge Capture Conference (K-CAP 2017)
Tipo de participación
960
Lugar del congreso
Austin, Texas
Revisores
Si
ISBN o ISSN
978-1-4503-5553-7
DOI
10.1145/3148011.3148028
Fecha inicio congreso
04/12/2017
Fecha fin congreso
06/12/2017
Desde la página
200
Hasta la página
207
Título de las actas
Expanding SNOMED-CT through Spanish Drug Summaries of Product Characteristics
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial