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

@inproceedings{Park2014AnAR,
  title={An Association Rule Mining-Based Framework for Understanding Lifestyle Risk Behaviors},
  author={So Hyun Park and Shin Yi Jang and Ho Sik Kim and Seung Lee},
  booktitle={PloS one},
  year={2014}
}
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 public health recommendations related to the Alameda 7 health behaviors. The study variables were current smoking, heavy drinking, physical… CONTINUE READING