Association Rules and Data Mining in Hospital Infection Control and Public Health Surveillance
AUTOR(ES)
Brossette, Stephen E.
FONTE
American Medical Informatics Association
RESUMO
Abstract Objectives: The authors consider the problem of identifying new, unexpected, and interesting patterns in hospital infection control and public health surveillance data and present a new data analysis process and system based on association rules to address this problem.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=61314Documentos Relacionados
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