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Memorias de investigación
Ponencias en congresos:
Analyzing SNOMED CT and HL7 terminology binding for semantic interoperability on post-genomic clinical trials
Año:2013
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Current post-genomic clinical trials in cancer involve the collaboration of several institutions. Multi-centric retrospective analysis requires advanced methods to ensure semantic interoperability. In this scenario, the objective of the EU funded INTEGRATE project, is to provide an infrastructure to share knowledge and data in post-genomic breast cancer clinical trials. This paper presents the process carried out in this project, to bind domain terminologies in the area, such as SNOMED CT, with the HL7 v3 Reference Information Model (RIM). The proposed terminology binding follow the HL7 recommendations, but should also consider important issues such as overlapping concepts and domain terminology coverage. Although there are limitations due to the large heterogeneity of the data in the area, the proposed process has been successfully applied within the context of the INTEGRATE project. An improvement in semantic interoperability of patient data from modern breast cancer clinical trials, aims to enhance the clinical practice in oncology.
Internacional
Si
Nombre congreso
MEDINFO 2013
Tipo de participación
960
Lugar del congreso
Copenhague
Revisores
Si
ISBN o ISSN
978-1-61499-288-2
DOI
Fecha inicio congreso
20/08/2013
Fecha fin congreso
23/08/2013
Desde la página
980
Hasta la página
980
Título de las actas
Stud Health Technol Inform.
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Santiago Aso Lete (UPM)
  • Autor: David Perez Del Rey (UPM)
  • Autor: Raul Alonso Calvo (UPM)
  • Autor: Antonio Rico-Díez (UPM)
  • Autor: Anca Bucur (Philips Research)
  • Autor: Bretch Claerhout (Custodix Ltd)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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