Epidemiological breast cancer prediction by country: A novel machine learning approach.

ABSTRACT: Breast cancer remains a significant contributor to cancer-related deaths among women globally. We seek for this study to examine the correlation between the incidence rates of breast cancer and newly identified risk factors. Additionally, we aim to utilize machine learning models to predict breast cancer incidence at a country level. Following an extensive review of the available literature, we have identified a range of recently studied risk factors associated with breast cancer. Subsequently, we gathered data on these factors and breast cancer incidence rates from numerous online sources encompassing 151 countries. To evaluate the relationship between these factors and breast cancer incidence, we assessed the normality of the data and conducted Spearman's correlation test. Furthermore, w

SUBMITTER: El Haji H 

PROVIDER: S-EPMC11324133 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature