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

Amelia PietropaoloRobert M GeraghtyRajan VeeratterapillayAlistair RogersPanagiotis KallidonisLuca VillaLuca BoeriEmanuele MontanariGokhan AtisEsteban EmilianiEmre Tarik SenerFeras Al JaafariJohn FitzpatrickMatthew ShawChris HardingBhaskar Kumar Somani

Published in: Journal of clinical medicine (2021)

Urosepsis after endourological procedures remains one of the main reasons for ICU admission. Risk factors for urosepsis are reasonably accurately predicted by our innovative ML model. Focusing on these risk factors can allow one to create predictive strategies to minimise post-operative morbidity.

Keyphrases

intensive care unit
machine learning
risk factors
case control
emergency department
mechanical ventilation
artificial intelligence
big data
extracorporeal membrane oxygenation