Identification of Key Predictors for Postoperative Urinary Tract Infection after Ureteroscopic Lithotripsy Using Machine Learning and Construction and Validation of a Risk Prediction Model
收藏DataCite Commons2025-06-12 更新2026-05-05 收录
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资源简介：
This study aims to utilize machine learning techniques to identify and validate key predictors of UTI after ureteroscopic lithotripsy and to construct and validate an effective nomogram prediction model to assist clinicians in more accurately assessing the risk of postoperative infection.
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Science Data Bank
创建时间：
2025-06-12
