XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

heidari S, Kavousi A, Rezaei Tabar V. Causal Relationships between the variables related to Breast cancer using Bayesian Networks. irje. 2018; 1111
URL: http://irje.tums.ac.ir/article-1-5885-en.html
1- Department of Biostatistics, SBMU School of Para-Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- School of Health, Safety and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Statistics, Faculty of Mathematics and Computer Sciences, Allameh Tabataba'I University, Tehran, Iran
Abstract:   (311 Views)
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 kind of data mining tool that illustrate the causal relationships between the variables. In this paper, Genetic algorithm with consideration of variable ordering for representation of graphical model related to type of breast cancer treatment is considered. 
Methods: This work is an applied study and data are gathered from 900 patients who suffer from breast cancer in Kerman province from 1999 to 2008. For data analysis, we use probabilistic graphical model which represent the causal relationship between variables.
Results: The results show that surgery is the most important treatment for the breast cancer and based on the conditional and marginal probabilities, the women who undergoing surgery can live longer with more hope. The 81% of patients who do not undergo surgery and their treatment is only based on chemotherapy or radiotherapy, are less likely to continue their lives.
Conclusion: People aged 40-65 years are more likely to be infected with breast cancer. We also conclude that the variables age, surgery, chemotherapy and radiotherapy have direct effects on the status of the patients and there are direct edges from these variables to the status of the patients. 
Type of Study: Research | Subject: General
Received: 2018/03/5 | Accepted: 2018/03/5 | Published: 2018/03/5

Add your comments about this article : Your username or Email:
Write the security code in the box

© 2017 All Rights Reserved | Iranian Journal of Epidemiology

Designed & Developed by : Yektaweb