2026-10-12T17:51:19Z https://www.scidb.cn/oai

10.57760/sciencedb.26346 2025-06-12T11:10:04Z

2025-06-12 Identification of Key Predictors for Postoperative Urinary Tract Infection after Ureteroscopic Lithotripsy Using Machine Learning and Construction and Validation of a Risk Prediction Model doi:10.57760/sciencedb.26346 en 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. Ureteroscopic lithotripsy; Urinary tract infection; Nomogram; Risk prediction; Machine learning xiong hai jun PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank