Ezgi KİRMİZİTAŞ

Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques

<title>Abstract</title> Purpose To develop and evaluate a machine learning based approach for the interpretation of uroflowmetry in pediatric lower urinary tract dysfunction, aiming to reduce interobserver variability and improve diagnostic consistency while maintaining clinical...