O uso do modelo de floresta aleatória para quantificar preditores de risco para requisitos de traqueostomia em pacientes sépticos. Um estudo de coorte retrospectivo [thesis]

Lorena Aparecida de Brito Rodrigues
Rodrigues, Lorena Aparecida de Brito. The use of the random forest model to quantify risk predictors for tracheostomy requirements in septic patients. A retrospective cohort study [dissertation]. Ribeirão Preto: University of São Paulo, Faculty of Medicine of Ribeirão Preto; 2020. The search for early clinical risk factors in the context of intensive care may improve outcomes for critically ill patients. The aim of this retrospective study is to compare patients with sepsis outcomes admitted to
more » ... the ICU, early identifying predictors for patients requiring tracheostomy and quantifying them. Methods: All data on the diagnosis of arrival at the ICU, as well as the clinical and physiological variables were
doi:10.11606/d.17.2020.tde-08022021-150617 fatcat:6dxaozypqjd7rfpomqozu7cctq