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Finding association of impact factor for breast cancer patient- A novel statistical approach

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2 Author(s)
Kwok-Pan Pang ; Gippsland School of Information Technology, Monash University, Australia ; A B M Shawkat Ali

An explosion of new research is vastly changing the medical sciences understanding of the cancer biology and giving new clues about how to attack it. This research tries to use a new impact analysis approach to investigating how the age, year and sex affect the probability of getting breast cancer. The impact analysis is an approach that is used to investigate the association of the impact factor with the response variable, and to represent the result in terms of estimated probability. This research considers the breast cancer incident and motility data from the Australian Institute of Health and Welfare since 1983 to 2003. We produce three models in this research. First we observe the effect of sex on breast cancer. Then other two investigations are mainly focus on the impact of different ages and years on breast cancer. Female starts to increase its risk after the age 14, however male breast cancer starts to increase after the age 19. Females' breast cancer incidence rate is 122 times higher than the males. This method is appropriate for evaluating the impact of the risk factors on the incidence of breast cancer.

Published in:

The 2010 International Joint Conference on Neural Networks (IJCNN)

Date of Conference:

18-23 July 2010