Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study

BACKGROUND: Pneumonia complicated by septic shock is associated with significant morbidity and mortality. Classification and regression tree methodology is an intuitive method for predicting clinical outcomes using binary splits. We aimed to improve the prediction of in-hospital mortality in patient...

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Detalles Bibliográficos
Autores principales: Speiser, Jaime L, Karvellas, Constantine J, Shumilak, Geoffery, Sligl, Wendy I, Mirzanejad, Yazdan, Gurka, Dave, Kumar, Aseem, Kumar, Anand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186142/
https://www.ncbi.nlm.nih.gov/pubmed/30349726
http://dx.doi.org/10.1186/s40560-018-0335-3

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