A rule based approach to modeling the effect of tobacco control policies

Xiaojiang Ding, Susan Bedingfield, Chung Hsing Yeh, Sonja Petrovic-Lazarevic, Ken Coghill, Jian Ying Zhang, Ron Borland, David Young

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages496-501
    Number of pages6
    ISBN (Print)9781424429004
    DOIs
    Publication statusPublished - 1 Dec 2008
    EventIEEE International Conference on Information and Automation for Sustainability 2008 - Colombo , Sri Lanka
    Duration: 12 Dec 200814 Dec 2008
    Conference number: 4th

    Conference

    ConferenceIEEE International Conference on Information and Automation for Sustainability 2008
    Abbreviated titleICIAfS 2008
    Country/TerritorySri Lanka
    CityColombo
    Period12/12/0814/12/08

    Keywords

    • Decision tree
    • Tobacco control

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