A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

INTRODUCTION: Patients with sepsis who present to an emergency department (ED) have highly variable underlying disease severity, and can be categorized from low to high risk. Development of a risk stratification tool for these patients is important for appropriate triage and early treatment. The aim...

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Detalles Bibliográficos
Autores principales: van Doorn, William P. T. M., Stassen, Patricia M., Borggreve, Hella F., Schalkwijk, Maaike J., Stoffers, Judith, Bekers, Otto, Meex, Steven J. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815112/
https://www.ncbi.nlm.nih.gov/pubmed/33465096
http://dx.doi.org/10.1371/journal.pone.0245157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815112/
https://www.ncbi.nlm.nih.gov/pubmed/33465096
http://dx.doi.org/10.1371/journal.pone.0245157

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