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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...
Autores principales: | Ericson, Oskar, Hjelmgren, Jonas, Sjövall, Fredrik, Söderberg, Joakim, Persson, Inger |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Columbia Data Analytics, LLC
2022
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Materias: | |
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 |
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