Abstract: Background: Breast Cancer (BC) is the second leading cause of cancer deaths among women. The development of BC is a multi-step process involving multiple cell types, and its prevention remains challenging in the world. Studies have shown that the risk for BC is due to a combination of factors. The main factors that influence the risk of BC are being a woman and getting older. It is necessary to analyze the various risk factors of BC for early diagnosis and to provide other prevention mechanisms to the patients.
Materials and Methods: The current study focuses on the lifestyle risk factors associated with BC women in the districts of Tamil Nadu. Here, the lifestyle risk factors are mainly analyzed with the occupation details of the women. If the occupation of the woman is a farmer, then the pesticide exposure among women is analyzed. The study also analyses the other kinds.......
Key Words: Breast cancer (BC); Risk factors of breast cancer; Lifestyle; Environmental risk factors; Incidence; SPSS Software; Tamil Nadu
[1]. Ravindranath K and Somashekar K, "Early detection of lung cancer by nodule extraction—A survey", In Proceedings of International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), pp. 1-4. 2017, 10.1109/ICEECCOT.2017.8284635.wix@comserver [2]. Tarnish Thomas, Nitesh Pradhan, and Vijay Pal Singh Dhaka, "Comparative analysis to predict breast cancer using machine learning algorithms: A Survey", In Proceedings of IEEE International Conference on Inventive Computation Technologies (ICICT), pp. 192-196., 2020, 10.1109/ICICT48043.2020.9112464.
[3]. Xinman Zhang, Tingting He, Liwei Ouyang, Xuebin Xu, and Sushing Chen, "A survey of gene selection and classification techniques based on cancer microarray data analysis", In Proceedings of IEEE 4th International Conference on Computer and Communications (ICCC), pp. 1809-1813, 2018, 10.1109/CompComm.2018.8781078
[4]. Lama Abujamous, Abdelghani Tbakhi, Mohammed Odeh, Osama Alsmadi, Faten F. Kharbat, and Hikmat Abdel-Razeq, "Towards digital cancer genetic counseling", In Proceedings of IEEE 1st International Conference on Cancer Care Informatics (CCI), pp. 188-194, 2018, 10.1109/CANCERCARE.2018.8618229.
[5]. Yassir Benhammou, Boujemaa Achchab, Francisco Herrera, and Siham Tabik, "BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights", Neurocomputing, vol. 375, pp. 9-24, 2020..