Early detection of sepsis using artificial intelligence: a scoping review protocol

Early detection of sepsis using artificial intelligence: a scoping review protocol

Abstract Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital a...

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Bibliographic Details
Main Authors: Ivana Pepic, Robert Feldt, Lars Ljungström, Richard Torkar, Daniel Dalevi, Hanna Maurin Söderholm, Lars-Magnus Andersson, Marina Axelson-Fisk, Katarina Bohm, Bengt Arne Sjöqvist, Stefan Candefjord
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Systematic Reviews
Subjects:
Sepsis
Artificial intelligence
Machine learning
Prehospital care
Emergency department
Clinical decision support
Online Access:https://doi.org/10.1186/s13643-020-01561-w

Internet

https://doi.org/10.1186/s13643-020-01561-w

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