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Determination of Relevant Risk Factors for Breast Cancer Using Feature Selection

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Abstract

Breast cancer is a serious threat to women’s health worldwide. Although the exact causes of this disease are still unknown, it is known that the incidence of breast cancer is associated with risk factors. Risk factors in cancer are any genetic, reproductive, hormonal, physical, biological, or lifestyle-related conditions that increase the likelihood of developing breast cancer. This research aims to identify the most relevant risk factors in patients with breast cancer in a dataset by following the Knowledge Discovery in Databases process. To determine the relevance of risk factors, this research implements two feature selection methods: the Chi-Squared test and Mutual Information; and seven classifiers are used to validate the results obtained. Our results show that the risk factors identified as the most relevant are related to the age of the patient, her menopausal status, whether she had undergone hormonal therapy, and her type of menopause.

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Notes

  1. Breast Cancer Surveillance Consortium page: https://www.bcsc-research.org

  2. Data collection and sharing was supported by the National Cancer Institute-funded Breast Cancer Surveillance Consortium (HHSN261201100031C). http://www.bcsc-research.org/.

  3. Using another more complete dataset could be another option. However, it is difficult to find publicly available breast cancer datasets, particularly those related to risk factors.

  4. Rapid Miner page: https://rapidminer.com

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Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. School of Engineering, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México

    Zazil Ibarra-Cuevas, Jose Nunez-Varela, Alberto Nunez-Varela, Francisco E. Martinez-Perez, Sandra E. Nava-Muñoz, Cesar A. Ramirez-Gamez & Hector G. Perez-Gonzalez

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  1. Zazil Ibarra-Cuevas
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  2. Jose Nunez-Varela
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  3. Alberto Nunez-Varela
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Corresponding authors

Correspondence to Zazil Ibarra-Cuevas, Jose Nunez-Varela, Alberto Nunez-Varela, Francisco E. Martinez-Perez, Sandra E. Nava-Muñoz, Cesar A. Ramirez-Gamez or Hector G. Perez-Gonzalez.

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Ibarra-Cuevas, Z., Nunez-Varela, J., Nunez-Varela, A. et al. Determination of Relevant Risk Factors for Breast Cancer Using Feature Selection. Program Comput Soft 49, 671–681 (2023). https://doi.org/10.1134/S0361768823080091

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