Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach.

ABSTRACT:

Background

Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk.

Objective

This study aimed to leverage explainable machine learning models to identify and analyze the key risk factors associated with breast, colorectal, lung, and prostate cancers. By uncovering significant associations between risk factors and these major cancer types, we sought to enhance the understanding of cancer diagnosis risk profiles. Our goal was to facilitate more precise screening, early detection, and pe

SUBMITTER: Huang X 

PROVIDER: S-EPMC12064211 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature