Observatorio de I+D+i UPM

Descripción
Current research in oncology, require the involvement of several institutions participating in clinical trials. Heterogeneities of data formats and models require advanced methods to achieve semantic interoperability and provide sustainable solutions. In this field, the EU funded INTEGRATE project aims to develop the basic knowledge to allow data sharing of data from post-genomic clinical trials on breast cancer. In this paper, we describe the procedure implemented in this project and the required binding between relevant terminologies such as SNOMED CT and an HL7 v3 Reference Information Model (RIM)-based data model. After following the HL7 recommendations, we also describe the main issues of this process and the proposed solution, such as concept overlapping and coverage of the domain terminology. Despite the fact that the data from this domain presents a high level of heterogeneity, the methods and solutions introduced in this paper have been successfully applied within the INTEGRATE project context. Results suggest that the level of semantic interoperability required to manage patient data in modern clinical trials on breast cancer can be achieved with the proposed methodology.
Internacional	Si
Nombre congreso	IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE)
Tipo de participación	960
Lugar del congreso
Revisores	Si
ISBN o ISSN	978-1-4799-3163-7
DOI	10.1109/BIBE.2013.6701688
Fecha inicio congreso	10/11/2013
Fecha fin congreso	13/11/2013
Desde la página	0
Hasta la página	4
Título de las actas	2013 IEEE 13TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)

Esta actividad pertenece a memorias de investigación

• Autor: Antonio Rico Díez
• Autor: Santiago Aso Lete (UPM)
• Autor: David Perez Del Rey (UPM)
• Autor: Raul Alonso Calvo (UPM)
• Autor: Victor Manuel Maojo Garcia (UPM)

• Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
• Departamento: Inteligencia Artificial