DocumentCode :
2741637
Title :
A Rule Based Approach to Modeling the Effect of Tobacco Control Policies
Author :
Ding, Xiaojiang ; Bedingfield, Susan ; Yeh, Chung-Hsing ; Petrovic-Lazarevic, Sonja ; Coghill, Ken ; Zhang, Jian Ying ; Borland, Ron ; Young, David
Author_Institution :
Clayton Sch. of Inf. Technol., Monash Univ., Clayton, VIC
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
496
Lastpage :
501
Abstract :
This paper investigates the underlying patterns in data derived from the International Tobacco Control Four Country Survey. The intent of the paper is to determine which attributes have the greatest impact on smokers´ plans to quit and their attempts to quit. Rule sets are derived using decision tree models and tested on temporal data sets to assess their validity and ability to generalise. Determinant attributes that can be used to implement effective tobacco control policies are identified.
Keywords :
decision trees; health care; knowledge based systems; decision tree models; rule based approach; rule sets; temporal data sets; tobacco control policies; Advertising; Australia Council; Cancer; Decision trees; Demography; Information technology; Predictive models; Psychology; Technology management; Testing; decision tree; tobacco control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-2899-1
Electronic_ISBN :
978-1-4244-2900-4
Type :
conf
DOI :
10.1109/ICIAFS.2008.4783959
Filename :
4783959
Link To Document :
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