Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method

Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method

Abstract Introduction Sepsis has the characteristics of high incidence, high mortality of ICU patients. Early assessment of disease severity and risk stratification of death in patients with sepsis, and further targeted intervention are very important. The purpose of this study was to develop machin...

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Bibliographic Details
Main Authors: Xiaobin Pan, Jinbao Xie, Lihui Zhang, Xincai Wang, Shujuan Zhang, Yingfeng Zhuang, Xingsheng Lin, Songjing Shi, Songchang Shi, Wei Lin
Format: Article
Language:English
Published: BMC 2023-02-01
Series:BMC Infectious Diseases
Subjects:
Sepsis
Hospital mortality
Intensive care unit
Machine learning
Sequential organ failure assessment
Online Access:https://doi.org/10.1186/s12879-023-08045-x

Internet

https://doi.org/10.1186/s12879-023-08045-x

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