Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers.
Journal:
BMC cancer
Published Date:
Jul 1, 2025
Abstract
BACKGROUND: Current breast cancer prediction models typically rely on personal information and medical history, with limited inclusion of blood-based biomarkers. This study aimed to identify novel breast cancer risk factors using machine learning algorithms. By integrating both personal clinical factors and peripheral blood biochemical biomarkers, it sought to enhance the understanding of breast cancer risk.
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