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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Int J Endocrinol Metab
Main Authors: Ramezankhani, Azra, Pournik, Omid, Shahrabi, Jamal, Azizi, Fereidoun, Hadaegh, Farzad
Format: Artigo
Jezik:Inglês
Izdano: Kowsar 2015
Teme:
Research Article
Online dostop: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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