A Machine Learning Predictive Model for Post-Ureteroscopy Urosepsis Needing Intensive Care Unit Admi...
A Machine Learning Predictive Model for Post-Ureteroscopy Urosepsis Needing Intensive Care Unit Admission: A Case–Control YAU Endourology Study from Nine European Centres
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Author / Creator
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 and Somani, Bhaskar K.
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Contents
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 patients that needed intensive care unit (ICU) admission...
Alternative Titles
Full title
A Machine Learning Predictive Model for Post-Ureteroscopy Urosepsis Needing Intensive Care Unit Admission: A Case–Control YAU Endourology Study from Nine European Centres
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8432042
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8432042
Other Identifiers
ISSN
2077-0383
E-ISSN
2077-0383
DOI
10.3390/jcm10173888
