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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |