Pilot deployment of a machine-learning enhanced prediction of need for hemorrhage resuscitation after trauma – the ShockMatrix pilot study

Pilot deployment of a machine-learning enhanced prediction of need for hemorrhage resuscitation after trauma – the ShockMatrix pilot study

Abstract Importance Decision-making in trauma patients remains challenging and often results in deviation from guidelines. Machine-Learning (ML) enhanced decision-support could improve hemorrhage resuscitation. Aim To develop a ML enhanced decision support tool to predict Need for Hemorrhage Resusci...

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Bibliographic Details
Main Authors: Tobias Gauss, Jean-Denis Moyer, Clelia Colas, Manuel Pichon, Nathalie Delhaye, Marie Werner, Veronique Ramonda, Theophile Sempe, Sofiane Medjkoune, Julie Josse, Arthur James, Anatole Harrois, the Traumabase Group
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Trauma
Shock
Prediction tool
Machine Learning
Decision Support
Online Access:https://doi.org/10.1186/s12911-024-02723-9

Internet

https://doi.org/10.1186/s12911-024-02723-9

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