A Machine Learning Predictive Model for Post-Ureteroscopy Urosepsis Needing Intensive Care Unit Admission: A Case–Control YAU Endourology Study from Nine European Centres

A Machine Learning Predictive Model for Post-Ureteroscopy Urosepsis Needing Intensive Care Unit Admission: A Case–Control YAU Endourology Study from Nine European Centres

Introduction: With the rise in the use of ureteroscopy and laser stone lithotripsy (URSL), a proportionate increase in the risk of post-procedural urosepsis has also been observed. The aims of our paper were to analyse the predictors for severe urosepsis using a machine learning model (ML) in patien...

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Bibliographic Details
Main Authors: Amelia Pietropaolo, Robert M. Geraghty, Rajan Veeratterapillay, Alistair Rogers, Panagiotis Kallidonis, Luca Villa, Luca Boeri, Emanuele Montanari, Gokhan Atis, Esteban Emiliani, Tarik Emre Sener, Feras Al Jaafari, John Fitzpatrick, Matthew Shaw, Chris Harding, Bhaskar K. Somani
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Clinical Medicine
Subjects:
kidney stones
urosepsis
ureteroscopy
laser lithotripsy
urolithiasis
nephrolithiasis
Online Access:https://www.mdpi.com/2077-0383/10/17/3888

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https://www.mdpi.com/2077-0383/10/17/3888

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