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Performance Evaluation of Intelligent Prediction Models on Smokers’ Quitting Behaviour

  • Chang-Joo Yun
  • Xiaojiang Ding
  • Susan Bedingfield
  • Chung-Hsing Yeh
  • Ron Borland
  • David Young
  • Sonja Petrovic-Lazarevic
  • Ken Coghill
  • Jian Ying Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5326)

Abstract

This paper evaluates the performance of intelligent models using decision trees, rough sets, and neural networks for predicting smokers’ quitting behaviour. 18 models are developed based on 6 data sets created from the International Tobacco Control Four Country Survey. 13 attributes about smokers’ beliefs about quitting (BQ) and 13 attributes about smokers’ beliefs about smoking (BS) are used as inputs. The output attribute is the smokers’ status of making a quit attempt (MQA) or planning to quit (PTQ). The neural network models outperform both decision tree models and rough set models in terms of prediction ability. Models using both BQ and BS attributes as inputs perform better than models using only BQ or BS attributes. The BS attributes contribute more to MQA, whereas the BQ attributes have more impact on PTQ. Models for predicting PTQ outperform models for predicting MQA. Determinant attributes that affect smokers’ quitting behaviour are identified.

Keywords

Decision trees rough sets neural networks tobacco control 

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References

  1. 1.
    Thompson, M.E., Fong, G.T., Hammond, D., Boudreau, C., Driezen, P., Hyland, P., Borland, R., Cummings, K.M., Hastings, G.B., Siahpush, M., Machintosh, A.M., Laux, F.L.: Methods of the International Tobacco Control (ITC) Four Country Survey. Tobacco Control 15(3), iii12–iii18 (2006)Google Scholar
  2. 2.
    Ding, X., Bedingfield, S., Yeh, C.-H., Zhang, J., Petrovic-Lazarevic, S., Coghill, K., Borland, R., Young, D.: A Decision Tree Approach for Predicting Smokers’ Quit Intentions. In: The 2008 International Conference on Communications, Circuits and Systems, pp. 1159–1163 (2008)Google Scholar
  3. 3.
    Hammond, D., Fong, G.T., McNeil, A., Borland., R., Cummings, K.M.: Effectiveness of Cigarette Warning Labels in Informing Smokers about the Risks of Smoking: Findings from the International Tobacco Control (ICT) Four Country Survey. Tobacco Control 15(3), iii19–iii25 (2006)Google Scholar
  4. 4.
    Harris, F., MacKintosh, A.M., Anderson, S., Hastings, G., Borland, R., Fong, G.T., Hammond, D., Cummings, K.M.: Effects of the 2003 Advertising/Promotion Ban in the United Kingdom on Awareness of Tobacco Marketing: Findings from the International Tobacco Control (ITC) Four Country Survey. Tobacco Control 15(3), iii26–iii33 (2006)Google Scholar
  5. 5.
    Hyland, A., Borland, R., Li, Q., Yong, H.-H., McNeill, A., Fong, G.T., O’Connor, R.J., Cummings, K.M.: Individual-Level Predictors of Cessation Behaviours among Participants in the International Tobacco Control (ITC) Four Country Survey. Tobacco Control 15(3), iii83–iii94 (2006)Google Scholar
  6. 6.
    Quinlan, J.R.: Generating Production Rules from Decision Trees, http://dli.iiit.ac.in/ijcai/IJCAI-87-VOL1/PDF/063.pdf
  7. 7.
    Pawlak, Z., Grzymala-Busse, J., Slowinski, R., Ziarko, W.: Rough Sets. Communications of the ACM 38(11), 89–95 (1995)CrossRefGoogle Scholar
  8. 8.
    Slowinski, R.: Intelligent Decision Support. In: Handbook of Applications and Advances of the Rough Sets Theory, Kluwer Academic Publishers, Dordrecht (1992)Google Scholar
  9. 9.
    Yeh, C.-H., Lin, Y.-C.: Neural Network Models for Transforming Consumer Perception into Product Form Design. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 799–804. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Chang-Joo Yun
    • 1
  • Xiaojiang Ding
    • 1
  • Susan Bedingfield
    • 1
  • Chung-Hsing Yeh
    • 1
  • Ron Borland
    • 2
  • David Young
    • 2
  • Sonja Petrovic-Lazarevic
    • 3
  • Ken Coghill
    • 3
  • Jian Ying Zhang
    • 3
  1. 1.Clayton School of Information TechnologyMonash UniversityVictoriaAustralia
  2. 2.VicHealth Centre for Tobacco Controlthe Cancer Council VictoriaAustralia
  3. 3.Department of ManagementMonash UniversityVictoriaAustralia

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