Development and Validation of a Quick Sepsis-Related Organ Failure Assessment-Based Machine-Learning Model for Mortality Prediction in Patients with Suspected Infection in the Emergency Department

The quick sepsis-related organ failure assessment (qSOFA) score has been introduced to predict the likelihood of organ dysfunction in patients with suspected infection. We hypothesized that machine-learning models using qSOFA variables for predicting three-day mortality would provide better accuracy...

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Detalles Bibliográficos
Autores principales: Kwon, Young Suk, Baek, Moon Seong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141518/
https://www.ncbi.nlm.nih.gov/pubmed/32210033
http://dx.doi.org/10.3390/jcm9030875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141518/
https://www.ncbi.nlm.nih.gov/pubmed/32210033
http://dx.doi.org/10.3390/jcm9030875

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