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                                       Details for article 7 of 19 found articles
 
 
  Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units
 
 
Title: Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units
Author: Peres, Igor Tona
Hamacher, Silvio
Cyrino Oliveira, Fernando Luiz
Bozza, Fernando Augusto
Salluh, Jorge Ibrain Figueira
Appeared in: Anaesthesia critical care & pain medicine
Paging: Volume 41 () nr. 6 pages p.
Year: 2022
Contents:
Publisher: Société française d'anesthésie et de réanimation (Sfar)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 7 of 19 found articles
 
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