Predicting sepsis using deep learning across international sites: a retrospective development and validation studyResearch in context

Predicting sepsis using deep learning across international sites: a retrospective development and validation studyResearch in context

Summary: Background: When sepsis is detected, organ damage may have progressed to irreversible stages, leading to poor prognosis. The use of machine learning for predicting sepsis early has shown promise, however international validations are missing. Methods: This was a retrospective, observationa...

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Bibliographic Details
Main Authors: Michael Moor, Nicolas Bennett, Drago Plečko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten Borgwardt
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:EClinicalMedicine
Subjects:
Sepsis
Machine learning
Deep learning
Intensive care
ICU
Early prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023003012

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http://www.sciencedirect.com/science/article/pii/S2589537023003012

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