Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy

Abstract Background The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinary tract stones. However, urolithiasis, surgical procedures, and catheter placement are risk factors for fungal infections. Our study aimed to construct a machine learning algorithm predictive...

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Bibliographic Details

Published in:	BMC Medical Informatics and Decision Making
Main Authors:	Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai, Hang Ye
Format:	Article
Language:	English
Published:	BMC 2025-04-01
Subjects:	Flexible ureteroscopy lithotripsy Machine learning algorithms Fungal infection Risk factors XGBoost model
Online Access:	https://doi.org/10.1186/s12911-025-02987-9