Table 1_The risk prediction model for acute urine retention after perineal prostate biopsy based on the LASSO approach and Boruta feature selection.xlsx

Table 1_The risk prediction model for acute urine retention after perineal prostate biopsy based on the LASSO approach and Boruta feature selection.xlsx

Objective<p>One known side effect of transperineal (TP) prostate biopsies is acute urine retention (AUR). We aimed to create and evaluate a predictive model for the post-paracentesis risk of acquiring AUR.</p>Methods<p>This study included 599 patients undergoing prostate biopsies (...

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Bibliographic Details
Main Author: Cheng Shen (838231) (author)
Other Authors: Gen Chen (771724) (author), Zhan Chen (488787) (author), Junjie You (22228786) (author), Bing Zheng (1426309) (author)
Published: 2025
Subjects:
Oncology and Carcinogenesis not elsewhere classified
acute urinary retention
prostate biopsy
machine learning
predictive model
Boruta feature selection
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