Your browser doesn't support javascript.
loading
Building SNOMED CT Post-Coordinated Expressions from Annotation Groups.
Miñarro-Giménez, Jose Antonio; Martínez-Costa, Catalina; López-García, Pablo; Schulz, Stefan.
Afiliación
  • Miñarro-Giménez JA; Institute for Medical Informatics, Statistics and Documentation. Medical University of Graz.
  • Martínez-Costa C; Institute for Medical Informatics, Statistics and Documentation. Medical University of Graz.
  • López-García P; Institute for Medical Informatics, Statistics and Documentation. Medical University of Graz.
  • Schulz S; Institute for Medical Informatics, Statistics and Documentation. Medical University of Graz.
Stud Health Technol Inform ; 235: 446-450, 2017.
Article en En | MEDLINE | ID: mdl-28423832
ABSTRACT
SNOMED CT supports post-coordination, a technique to combine clinical concepts to ontologically define more complex concepts. This technique follows the validity restrictions defined in the SNOMED CT Concept Model. Pre-coordinated expressions are compositional expressions already in SNOMED CT, whereas post-coordinated expressions extend its content. In this project we aim to evaluate the suitability of existing pre-coordinated expressions to provide the patterns for composing typical clinical information based on a defined list of sets of interrelated SNOMED CT concepts. The method produces a 9.3% precision and a 95.9% recall. As a consequence, further investigations are needed to develop heuristics for the selection of the most meaningful matched patterns to improve the precision.
Asunto(s)
Palabras clave
Buscar en Google
Banco de datos: MEDLINE Asunto principal: Almacenamiento y Recuperación de la Información / Systematized Nomenclature of Medicine Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2017 Tipo del documento: Article
Buscar en Google
Banco de datos: MEDLINE Asunto principal: Almacenamiento y Recuperación de la Información / Systematized Nomenclature of Medicine Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2017 Tipo del documento: Article