Article

Explainable Machine Learning Model for Prostate Cancer Risk Prediction Using Clinical and Polygenic Risk Features in a Nationwide Korean Cohort

2026-06-09

Abstract excerpt

<title>Abstract</title> <p>Background Early prediction of prostate cancer risk is critical for timely diagnosis and treatment. While prostate-specific antigen (PSA) testing is widely used in screening, its limited specificity highlights the need for complementary biomarkers. We aimed to develop machine learning–based predictive models for prostate cancer using demographic and genomic data, and to evaluate the in...

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Literature Corpus work: 93a6f714-2d2b-5d37-9f3e-59019742497b
DOI: 10.21203/rs.3.rs-9539932/v1

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