Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers

In three linesML study on pre-test risk stratification for Chlamydia trachomatis infection. 93 urine samples analyzed using patient-reported data and urine biomarkers. Combined models reach AUC 0.72; urine biomarkers provide reliable predictive signal complementary to clinical data.

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