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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-11-01
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Series: | Frontiers in Endocrinology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.1034251/full |