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

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

Abstract 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...

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Bibliographic Details
Main Authors: Jaime L Speiser, Constantine J Karvellas, Geoffery Shumilak, Wendy I Sligl, Yazdan Mirzanejad, Dave Gurka, Aseem Kumar, Anand Kumar, the Cooperative Antimicrobial Therapy of Septic Shock (CATSS) Database Research Group
Format: Article
Language:English
Published: BMC 2018-10-01
Series:Journal of Intensive Care
Subjects:
Pneumonia
Septic shock
Classification and regression tree
Antimicrobial therapy
Online Access:http://link.springer.com/article/10.1186/s40560-018-0335-3

Internet

http://link.springer.com/article/10.1186/s40560-018-0335-3

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