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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Detalles Bibliográficos
Autores principales: Pietropaolo, Amelia, Geraghty, Robert M., Veeratterapillay, Rajan, Rogers, Alistair, Kallidonis, Panagiotis, Villa, Luca, Boeri, Luca, Montanari, Emanuele, Atis, Gokhan, Emiliani, Esteban, Sener, Tarik Emre, Al Jaafari, Feras, Fitzpatrick, John, Shaw, Matthew, Harding, Chris, Somani, Bhaskar K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432042/
https://www.ncbi.nlm.nih.gov/pubmed/34501335
http://dx.doi.org/10.3390/jcm10173888

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432042/
https://www.ncbi.nlm.nih.gov/pubmed/34501335
http://dx.doi.org/10.3390/jcm10173888

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