An Application of Association Rule Mining to Extract Risk Pattern for Type 2 Diabetes Using Tehran Lipid and Glucose Study Database

BACKGROUND: Type 2 diabetes, common and serious global health concern, had an estimated worldwide prevalence of 366 million in 2011, which is expected to rise to 552 million people, by 2030, unless urgent action is taken. OBJECTIVES: The aim of this study was to identify risk patterns for type 2 dia...

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Detalles Bibliográficos
Autores principales: Ramezankhani, Azra, Pournik, Omid, Shahrabi, Jamal, Azizi, Fereidoun, Hadaegh, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393501/
https://www.ncbi.nlm.nih.gov/pubmed/25926855
http://dx.doi.org/10.5812/ijem.25389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393501/
https://www.ncbi.nlm.nih.gov/pubmed/25926855
http://dx.doi.org/10.5812/ijem.25389

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