MaturitasHumansMaleProstatic HyperplasiaMachine LearningMiddle Aged
Unveiling the association between dietary metals and prostate health: Identifying benign prostatic hyperplasia using a SHAP-based interpretable machine learning model in US adults.
Yan Wang, Jiaming Chen, Wangqiang Chen, Xuejuan Jiang, Caifei Ding, Jingyu Zhu
Published: 202510.1016/j.maturitas.2025.108776
Abstract
BACKGROUND: Benign prostatic hyperplasia affects roughly 50 % of men aged 51-60 and 70 % of those aged 61-70. While heavy metals have been linked to prostate cancer and inflammation, little is known about how the dietary intake of trace metals influe…
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