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

Abstract

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

Topics

6 Figures and Tables

Cite this paper

@inproceedings{Park2014AnAR, title={An Association Rule Mining-Based Framework for Understanding Lifestyle Risk Behaviors}, author={So Hyun Park and Shin Yi Jang and Ho Kim and Seung Wook Lee}, booktitle={PloS one}, year={2014} }