Supervised classification techniques for prediction of mortality in adult patients with sepsis.

Journal: The American journal of emergency medicine

Published Date: Jul 1, 2021

Abstract

BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.

Authors

Andrés Rodríguez

Universidad Nacional de Colombia, Medellín, Colombia.
Deibie Mendoza

School of Medicine, Universidad de Antioquia, Medellín, Colombia.
Johana Ascuntar

GRAEPIC - Clinical Epidemiology Academic Group (Grupo Académico de Epidemiología Clínica), Universidad de Antioquia, Medellín, Colombia.
Fabián Jaimes

GRAEPIC - Clinical Epidemiology Academic Group (Grupo Académico de Epidemiología Clínica), Universidad de Antioquia, Medellín, Colombia; Department of Internal Medicine; Universidad de Antioquia; Medellín, Colombia; Hospital San Vicente Fundación, Medellín, Colombia. Electronic address: fabian.jaimes@udea.edu.co.

Keywords

Aged Artificial Intelligence Colombia Decision Making Emergency Service, Hospital Female Hospital Mortality Hospitals, University Humans Male Middle Aged Organ Dysfunction Scores Predictive Value of Tests Prognosis Prospective Studies Sepsis

External Resources

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