The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden

Background: Early diagnosis of sepsis has been shown to reduce treatment delays, increase appropriate care, and reduce mortality. The sepsis machine learning algorithm NAVOY® Sepsis, based on variables routinely collected at intensive care units (ICUs), has shown excellent predictive properties. How...

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Detalles Bibliográficos
Autores principales: Ericson, Oskar, Hjelmgren, Jonas, Sjövall, Fredrik, Söderberg, Joakim, Persson, Inger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Columbia Data Analytics, LLC 2022
Materias:
Methodology and Healthcare Policy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042649/
https://www.ncbi.nlm.nih.gov/pubmed/35620451
http://dx.doi.org/10.36469/jheor.2022.33951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042649/
https://www.ncbi.nlm.nih.gov/pubmed/35620451
http://dx.doi.org/10.36469/jheor.2022.33951

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