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Logistic regression versus C5.0 decision tree in predicting female stress urinary incontinence risk using clinical

Junlong Huang1, Wenshuang Li1, Juncong Xie1

  • 1Department of Urology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, P. R. China.

BMC Women'S Health
|October 14, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Decision treeLogistic regressionNomogramPelvic floor ultrasoundStress urinary incontinence

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