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.

中文翻译：

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使用特征选择确定乳腺癌的相关危险因素

摘要

乳腺癌是对全世界妇女健康的严重威胁。尽管这种疾病的确切原因尚不清楚，但众所周知，乳腺癌的发病与危险因素有关。癌症的危险因素是任何增加患乳腺癌可能性的遗传、生殖、激素、身体、生物或生活方式相关的条件。本研究旨在通过遵循数据库中的知识发现过程，在数据集中识别乳腺癌患者最相关的风险因素。为了确定风险因素的相关性，本研究采用了两种特征选择方法：卡方检验和互信息；并使用七个分类器来验证所获得的结果。我们的结果表明，被确定为最相关的危险因素与患者的年龄、绝经状态、是否接受过激素治疗以及绝经类型有关。