Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals

BACKGROUND: Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of adverse patient outcomes, but the efficacy of traditional...

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Detalles Bibliográficos
Autores principales: Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise, Gu, Carol, Roberts, Jonathan, Le, Sidney, Slote, Joseph, Saber, Nicholas, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590695/
https://www.ncbi.nlm.nih.gov/pubmed/33109167
http://dx.doi.org/10.1186/s12911-020-01284-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590695/
https://www.ncbi.nlm.nih.gov/pubmed/33109167
http://dx.doi.org/10.1186/s12911-020-01284-x

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