Abstract
The purpose of this study was to analyze the factors that affects the Women’s smoking behavior in Korea. Data were from the A Study on the Seoul Welfare Panel Study 2010. Subjects were 3,958 females aged 19 and older living in the community. A prediction model was developed by the use of a classification and regression tree algorithm of data-mining approach. In the classification and regression tree algorithm analysis, alcohol consumption, depression, income, family relationship, marital status were significantly associated with smoking behavior in Korean females.
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