A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis

A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis

Introduction: The incidence of postoperative sepsis is continually increased, while few studies have specifically focused on the risk factors and clinical outcomes associated with the development of sepsis after surgical procedures. The present study aimed to develop a mathematical model for predict...

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Bibliographic Details
Main Authors: Ren-qi Yao, Xin Jin, Guo-wei Wang, Yue Yu, Guo-sheng Wu, Yi-bing Zhu, Lin Li, Yu-xuan Li, Peng-yue Zhao, Sheng-yu Zhu, Zhao-fan Xia, Chao Ren, Yong-ming Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Medicine
Subjects:
postoperative sepsis
intensive care unit
extreme gradient boosting
coagulation
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fmed.2020.00445/full

Internet

https://www.frontiersin.org/article/10.3389/fmed.2020.00445/full

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