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Št. zadetkov: 3
Comparison of European ICU patients in 2012 (ICON) versus 2002 (SOAP)
Jean Louis Vincent, Jean-Yves Lefrant, Katarzyna Kotfis, Rahul Nanchal, Ignacio Martin-Loeches, Xavier Wittebole, Samir G. Sakka, Peter Pickkers, Rui P. Moreno, Yasser Sakr, Viktorija Tomič, Gorazd Voga, Lučka Kosec, Erik Rupnik, Milena Kerin-Povšič, Irena Osojnik, Andreja Sinkovič
Izvirni znanstveni članek
Oznake: severity of disease;
Purpose: To evaluate differences in the characteristics and outcomes of intensive care unit (ICU) patients over time. Methods: We reviewed all epidemiological data, including comorbidities, types and severity of organ failure, interventions, lengths of stay and outcome, for patients from the Sepsis ...
Leto: 2018 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
ǂThe ǂclinical relevance of oliguria in the critically ill patient
Jean Louis Vincent, Andrew Ferguson, Peter Pickkers, Stephan M. Jakob, Ulrich Jaschinski, Ghaleb A. Almekhlafi, Marc Leone, Majid Mokhtari, Luis E. Fontes, Philippe R. Bauer, Yasser Sakr, Gorazd Voga, Erik Rupnik, Lučka Kosec, Milena Kerin-Povšič, Irena Osojnik, Viktorija Tomič, Andreja Sinkovič
Izvirni znanstveni članek
Oznake: izločanje urina;nadomestno zdravljenje ledvične odpovedi;urine output;renal replacement therapy;
Background: Urine output is widely used as one of the criteria for the diagnosis and staging of acute renal failure, but few studies have specifically assessed the role of oliguria as a marker of acute renal failure or outcomes in general intensive care unit (ICU) patients. Using a large multination ...
Leto: 2020 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Learning Parameters in Discrete Naive Bayes Models by Computing Fibers of the Parametrization map
Vincent Auvray , Louis Wehenkel
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Discrete Naive Bayes models are usually defined parametrically with a map from a parameter space to a probability distribution space. First, we present two families of algorithms that compute the set of parameters mapped to a given discrete Naive Bayes distribution satisfying certain technical assum ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 3
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