A metabolic-inflammatory phenotype of pelvic floor dysfunction: A machine learning-based cross-sectional study in a nationally representative US population.

Abstract excerpt

ObjectiveTo analyze pelvic floor dysfunction heterogeneity by identifying distinct clinical subtypes using unsupervised machine learning in a nationally representative cohort.MethodsThis cross-sectional study analyzed 7291 women from the National Health and Nutrition Examination Survey (NHANES 2005-2012). K-means clustering was applied to pelvic floor dysfunction-positive women to identify latent subtypes based...

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