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

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 m...

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Main Authors: Andrew J. Benjamin, MD, Andrew J. Young, MD, John B. Holcomb, MD, Erin E. Fox, PhD, Charles E. Wade, PhD, Chris Meador, MBA, Jeremy W. Cannon, MD, SM
Format: Article
Language:English
Published: Wolters Kluwer Health 2023-09-01
Series:Annals of Surgery Open
Online Access:http://journals.lww.com/10.1097/AS9.0000000000000314
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http://journals.lww.com/10.1097/AS9.0000000000000314

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