Decision support by machine learning systems for acute management of severely injured patients: A systematic review

INTRODUCTION: Treating severely injured patients requires numerous critical decisions within short intervals in a highly complex situation. The coordination of a trauma team in this setting has been shown to be associated with multiple procedural errors, even of experienced care teams. Machine learn...

Descripción completa

Detalles Bibliográficos
Autores principales: Baur, David, Gehlen, Tobias, Scherer, Julian, Back, David Alexander, Tsitsilonis, Serafeim, Kabir, Koroush, Osterhoff, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589228/
https://www.ncbi.nlm.nih.gov/pubmed/36299574
http://dx.doi.org/10.3389/fsurg.2022.924810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589228/
https://www.ncbi.nlm.nih.gov/pubmed/36299574
http://dx.doi.org/10.3389/fsurg.2022.924810

Ejemplares similares