A platform for the design and execution of clinical data transformation and reasoning workflows
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Otros documentos de la autoría: Maldonado, Jose Alberto; Marcos, Mar; Fernández Breis, Jesualdo Tomás; Giménez Solano, Vicente Miguel; Legaz-García, María del Carmen; Martínez-Salvador, Begoña
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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INVESTIGACIONMetadatos
Título
A platform for the design and execution of clinical data transformation and reasoning workflowsAutoría
Fecha de publicación
2021-09-22Editor
CAEPIAISBN
9788409305148Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://caepia20-21.uma.es/?lang=esVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Effective sharing and reuse of Electronic Health
Records (EHRs) requires a high level of semantic interoperability.
We have developed a framework to support EHR interoperability
based on workflows whose primary ... [+]
Effective sharing and reuse of Electronic Health
Records (EHRs) requires a high level of semantic interoperability.
We have developed a framework to support EHR interoperability
based on workflows whose primary components are reusable
mappings. The framework supports mappings which take advantage of the best features of EHR standards and semantic web
technologies. Based on this framework, we have implemented
CLIN-IK-LINKS, a web-based platform that enables users to
create, modify and delete mappings, as well as to define and
execute clinical data transformation and reasoning workflows.
The platform has been applied in two use cases in which real
data have been used. This key work is an abridged version of the
paper published in the journal Comput Meth Prog Bio [1]. [-]
Descripción
´Ponencia presentada en: XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 20/21).Málaga, España
22-24 de septiembre, 2021
Publicado en
Libro de Actas de la XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 20/21)Derechos de acceso
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess