Machine learning models to predict in-hospital mortality in septic patients with diabetes

Machine learning models to predict in-hospital mortality in septic patients with diabetes

BackgroundSepsis is a leading cause of morbidity and mortality in hospitalized patients. Up to now, there are no well-established longitudinal networks from molecular mechanisms to clinical phenotypes in sepsis. Adding to the problem, about one of the five patients presented with diabetes. For this...

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Bibliographic Details
Main Authors: Jing Qi, Jingchao Lei, Nanyi Li, Dan Huang, Huaizheng Liu, Kefu Zhou, Zheren Dai, Chuanzheng Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Endocrinology
Subjects:
machine learning
sepsis
diabetes
in-hospital mortality
risk factors
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1034251/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.1034251/full

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