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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Vydáno v:Int J Endocrinol Metab
Hlavní autoři: Ramezankhani, Azra, Pournik, Omid, Shahrabi, Jamal, Azizi, Fereidoun, Hadaegh, Farzad
Médium: Artigo
Jazyk:Inglês
Vydáno: Kowsar 2015
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4393501/
https://ncbi.nlm.nih.gov/pubmed/25926855
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5812/ijem.25389
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