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RASTA: a distributed temporal abstraction system to facilitate knowledge-driven monitoring of clinical databases.
O'Connor, M J; Grosso, W E; Tu, S W; Musen, M A.
Afiliación
  • O'Connor MJ; Stanford Medical Informatics, Stanford University School of Medicine, Stanford, CA 94305-5479, USA. moconnor@smi.stanford.edu
Stud Health Technol Inform ; 84(Pt 1): 508-12, 2001.
Article en En | MEDLINE | ID: mdl-11604792
The time dimension is very important for applications that reason with clinical data. Unfortunately, this task is inherently computationally expensive. As clinical decision support systems tackle increasingly varied problems, they will increase the demands on the temporal reasoning component, which may lead to slow response times. This paper addresses this problem. It describes a temporal reasoning system called RASTA that uses a distributed algorithm that enables it to deal with large data sets. The algorithm also supports a variety of configuration options, enabling RASTA to deal with a range of application requirements.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2001 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos
Buscar en Google
Añadir a Mi BVS
Imprimir
XML
PubMed Links

Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2001 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos