Ponencias en congresos:
A data model based on semantically enhanced HL7 RIM for sharing patient data of breast cancer clinical trials
A data model based on semantically enhanced HL7 RIM for sharing patient data of breast cancer clinical trials
Año:2013
Áreas de investigación
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Biomedicina, -
Ciencias de la computación y tecnología informática
Datos
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Descripción
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| Breast cancer clinical trial researchers have to handle heterogeneous data coming from different data sources, overloading biomedical researchers when they need to query data for retrospective analysis. This paper presents the Common Data Model (CDM) proposed within the INTEGRATE EU project to homogenize data coming from different clinical partners. This CDM is based on the Reference Information Model (RIM) from the Health Level 7 (HL7) version 3. Semantic capabilities through an SPARQL endpoint were also required to ensure the sustainability of the platform. For the SPARQL endpoint implementation, a comparison has been carried out between a Relational SQL database + D2R and a RDF database. The results show that the first option can store all clinical data received from institutions participating in the project with a better performance. It has been also evaluated by the EU Commission within a patient recruitment demonstrator. | |
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Internacional
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Si |
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Nombre congreso
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MEDINFO 2013 |
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Tipo de participación
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960 |
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Lugar del congreso
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Copenhague |
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Revisores
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Si |
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ISBN o ISSN
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978-1-61499-288-2 |
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DOI
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Fecha inicio congreso
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20/08/2013 |
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Fecha fin congreso
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23/08/2013 |
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Desde la página
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971 |
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Hasta la página
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971 |
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Título de las actas
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Stud Health Technol Inform. |
Participantes
- Autor: Juan Manuel Moratilla Vargas (Universidad Politécnica de Madrid)
- Autor: Raul Alonso Calvo (UPM)
- Participante: Gema Molina Vaquero (Universidad Politécnica de Madrid)
- Autor: Sergio Paraíso Medina (Universidad Politécnica de Madrid)
- Autor: David Perez Del Rey (UPM)
- Autor: Victor Manuel Maojo Garcia (UPM)
- Autor: Sergio Paraiso Medina (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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