Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis

Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis

Abstract We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP) in vesicoureteral reflux, train a model to predict the outcome, and evaluate which infants should be referred for endoscopic vesicoureteral reflux correction in their first visits. A total...

Full description

Saved in:
Bibliographic Details
Main Authors: Nooshin Tafazoli, Hooman Kamran, Roozbeh Bazargani, Mehrnoosh Samaei, Mitra Naseri, Abdol-Mohammad Kajbafzadeh
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Dextranomer/hyaluronic acid copolymer
Endoscopic injection
Machine learning
Urinary tract infection
Vesicoureteral reflux
Online Access:https://doi.org/10.1038/s41598-025-92847-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items