Early Prediction of Massive Transfusion for Patients With Traumatic Hemorrhage: Development of a Multivariable Machine Learning Model

OBJECTIVE: Develop a novel machine learning (ML) model to rapidly identify trauma patients with severe hemorrhage at risk of early mortality. BACKGROUND: The critical administration threshold (CAT, 3 or more units of red blood cells in a 60-minute period) indicates severe hemorrhage and predicts mor...

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Detalles Bibliográficos
Autores principales: Benjamin, Andrew J., Young, Andrew J., Holcomb, John B., Fox, Erin E., Wade, Charles E., Meador, Chris, Cannon, Jeremy W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health, Inc. 2023
Materias:
Original Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513183/
https://www.ncbi.nlm.nih.gov/pubmed/37746616
http://dx.doi.org/10.1097/AS9.0000000000000314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513183/
https://www.ncbi.nlm.nih.gov/pubmed/37746616
http://dx.doi.org/10.1097/AS9.0000000000000314

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