Causal Relationship between Variables Related to Breast Cancer using Bayesian Networks

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HEIDARI S.; KAVOUSI A.; REZAEI V.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Iranian Journal of Epidemiology Year:2018 | Volume:14 | Issue:2 Page(s): 166-176

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Title

Causal Relationship between Variables Related to Breast Cancer using Bayesian Networks

Author(s)

HEIDARI S. | KAVOUSI A. | REZAEI V. | Issue Writer Certificate

Keywords

Breast cancerQ2

Bayesian networkQ1

Genetic algorithmQ2

Abstract

Background and Objectives: Breast cancer is the most common cancer in Iran. It can be prevented by rapid diagnosis of the disease. Thus, it is necessary to determine the causal relationships between variables related to Breast cancer. Bayesian network is a data mining tool that shows the causal relationship between different variables. In this paper, a Bayesian network was applied to find causal relationships between Breast cancer variables using a Genetic algorithm in a graphical model. Methods: in this applied study, data were collected from 900 Breast cancer patients in Kerman Province from 1999 to 2008. For data analysis, we used a probabilistic graphical model representing the causal relationship between variables. Results: The results showed that surgery was the most important treatment for Breast cancer. Based on the conditional and marginal probabilities, the women who underwent surgery had higher hopes of living longer. Moreover, 81% of the patients who did not undergo surgery only received chemotherapy or radiotherapy were less likely to have long lives. Conclusion: People aged 40-65 years are more likely to have Breast cancer. Moreover, the variables of age, surgery, chemotherapy, and radiotherapy had a direct effect on the status of the patients and there were direct edges from these variables to the status of the patients.

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APA: Copy

HEIDARI, S., KAVOUSI, A., & REZAEI, V.. (2018). Causal Relationship between Variables Related to Breast Cancer using Bayesian Networks. IRANIAN JOURNAL OF EPIDEMIOLOGY, 14(2 ), 166-176. SID. https://sid.ir/paper/407995/en

Vancouver: Copy

HEIDARI S., KAVOUSI A., REZAEI V.. Causal Relationship between Variables Related to Breast Cancer using Bayesian Networks. IRANIAN JOURNAL OF EPIDEMIOLOGY[Internet]. 2018;14(2 ):166-176. Available from: https://sid.ir/paper/407995/en

IEEE: Copy

S. HEIDARI, A. KAVOUSI, and V. REZAEI, “Causal Relationship between Variables Related to Breast Cancer using Bayesian Networks,” IRANIAN JOURNAL OF EPIDEMIOLOGY, vol. 14, no. 2 , pp. 166–176, 2018, [Online]. Available: https://sid.ir/paper/407995/en

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