Non-redundant association rules between diseases and medications: an automated method for knowledge base construction

BACKGROUND: The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, research or billing. We present a data driven meth...

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Detalles Bibliográficos
Autores principales: Séverac, François, Sauleau, Erik A, Meyer, Nicolas, Lefèvre, Hassina, Nisand, Gabriel, Jay, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415340/
https://www.ncbi.nlm.nih.gov/pubmed/25888890
http://dx.doi.org/10.1186/s12911-015-0151-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415340/
https://www.ncbi.nlm.nih.gov/pubmed/25888890
http://dx.doi.org/10.1186/s12911-015-0151-9

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