Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review

Background: Sepsis is among the leading causes of death in intensive care units (ICUs) worldwide and its recognition, particularly in the early stages of the disease, remains a medical challenge. The advent of an affluence of available digital health data has created a setting in which machine learn...

Descripción completa

Detalles Bibliográficos
Autores principales: Moor, Michael, Rieck, Bastian, Horn, Max, Jutzeler, Catherine R., Borgwardt, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193357/
https://www.ncbi.nlm.nih.gov/pubmed/34124082
http://dx.doi.org/10.3389/fmed.2021.607952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193357/
https://www.ncbi.nlm.nih.gov/pubmed/34124082
http://dx.doi.org/10.3389/fmed.2021.607952

Ejemplares similares