中国电子科技2008，Vol.6Issue(3)：284-288,5.
A Decision Tree Approach for Predicting Smokers' Quit Intentions
A Decision Tree Approach for Predicting Smokers' Quit Intentions
Xiao-Jiang Ding 1Susan Bedingfield 1Chung-Hsing Yeh 1Ron Borland 2David Young 2Jian-Ying Zhang 3Sonja Petrovic-Lazarevic 3Ken Coghill3
作者信息
- 1. Clayton School of Information Technology, Monash University, Victoria, 3800, Australia
- 2. VicHealth Centre for Tobacco Control, The Cancer Council Victoria, Victoria, 3053, Australia
- 3. Department of Management, Caulfield Campus, Monash University,Victoria, 3145, Australia
- 折叠
摘要
Abstract
This paper presents a decision tree approach for predicting smokers'quit intentions using the data from the International Tobacco Control Four Country Survey. Three rule-based classification models are generated from three data sets using attributes in relation to demographics, warning labels, and smokers' beliefs. Both demographic attributes and warning label attributes are important in predicting smokers' quit intentions. The model's ability to predict smokers' quit intentions is enhanced, if the attributes regarding smokers' internal motivation and beliefs about quitting are included.关键词
Decision tree/prediction/quit attempt/tobacco control/tobacco smokingKey words
Decision tree/prediction/quit attempt/tobacco control/tobacco smoking分类
信息技术与安全科学引用本文复制引用
Xiao-Jiang Ding,Susan Bedingfield,Chung-Hsing Yeh,Ron Borland,David Young,Jian-Ying Zhang,Sonja Petrovic-Lazarevic,Ken Coghill..A Decision Tree Approach for Predicting Smokers' Quit Intentions[J].中国电子科技,2008,6(3):284-288,5.
