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