Improving corrective maintenace efficiency in clinical engineering departments - Multiple linear regression and clustering techniques for analyzing quality and effectiveness of technical services

Multiple linear regression and clustering techniques are tools that have been extensively applied in several financial, technical, and biomedical arenas, where vast quantities of data are produced and stored. These techniques show promise in analyzing the performance of departments responsible for a...

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Autores:
Tipo de recurso:
Fecha de publicación:
2007
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26169
Acceso en línea:
https://doi.org/10.1109/MEMB.2007.364931
https://repository.urosario.edu.co/handle/10336/26169
Palabra clave:
Algorithm
Article
Biomedical engineering
Cluster analysis
Device
Health care quality
Health service
Mathematical analysis
Medical audit
Multiple linear regression analysis
Policy
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Restringido (Acceso a grupos específicos)