Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept

Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsis exhibit poor performance when used in this unique population due to their underlying hypermetabolic and inflammatory response following burn injury. To address this challenge, we developed the Machi...

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Detalles Bibliográficos
Autores principales: Tran, Nam K., Albahra, Samer, Pham, Tam N., Holmes, James H., Greenhalgh, David, Palmieri, Tina L., Wajda, Jeffery, Rashidi, Hooman H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378181/
https://www.ncbi.nlm.nih.gov/pubmed/32704168
http://dx.doi.org/10.1038/s41598-020-69433-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378181/
https://www.ncbi.nlm.nih.gov/pubmed/32704168
http://dx.doi.org/10.1038/s41598-020-69433-w

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