Early Detection of the most Important Factors Leading to Breast Cancer

Authors

  • Aseel Mubder Dawood Al-Marsuomy
  • Mustafa Mohammed Subhi Fadhel

DOI:

https://doi.org/10.55562/jrucs.v46i1.102

Keywords:

Factorial Analysis, Radial Bases Function Network, Gaussian Function, Breast cancer, Eigen values

Abstract

The aim of this research is to determine the most important and main factors that lead to breast cancer. It is also about finding suitable solutions to eradicate these factors and avoiding them in order to prevent getting breast cancer.In order to achieve the aim of this research, a sample of (40) patients from Medical City - Oncology Teaching Hospital where a questionnaire was used to collect data. It contained (17) reasons. The statistical programmed (SPSS) was used to compare the results of the data analysis using two methods (Radial Bases Function Network) and (Factorial Analysis). The research came up with important results; the two methods determined the same factors that could be a direct reason to breast cancer, but the first method of analysis was more precise and accurate in identifying these factors. Concerning both methods the focus was on the factors of: breast self examination, the periodical mammography machine examination early and continuously (periodically), and their life style had a major effect on their susceptibility of the risk of breast cancer.

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Published

2021-10-01

How to Cite

Early Detection of the most Important Factors Leading to Breast Cancer. (2021). Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), 46(1), 512-530. https://doi.org/10.55562/jrucs.v46i1.102