Development and validation of a risk prediction model for postoperative urinary retention after gynecologic abdominal-pelvic surgery

Abstract This study developed prediction models using 12 machine learning (ML) algorithms and, through comprehensive evaluation, selected the optimal model to predict postoperative urinary retention after gynecologic abdominal-pelvic surgery. An online calculator was created to provide reference for...

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Bibliografski detalji

Glavni autori:	Jiahao Shi, Youbei Lin, Xiaojing Qin, Yinghui Gong, Hongyu Li
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-12-01
Serija:	Scientific Reports
Teme:	Urinary retention Gynecologic surgery Predictive modeling Machine learning Risk factors
Online pristup:	https://doi.org/10.1038/s41598-025-32714-3
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