An Association Rule Mining-Based Framework for Understanding Lifestyle Risk Behaviors


OBJECTIVES This study investigated the prevalence and patterns of lifestyle risk behaviors in Korean adults. METHODS We utilized data from the Fourth Korea National Health and Nutrition Examination Survey for 14,833 adults (>20 years of age). We used association rule mining to analyze patterns of lifestyle risk behaviors by characterizing non-adherence to… (More)
DOI: 10.1371/journal.pone.0088859


6 Figures and Tables


Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 3 years.

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