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...

Full description

Bibliographic Details
Main Authors: So Hyun Park, Shin Yi Jang, Ho Kim, Seung Wook Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3923836?pdf=render