Machine Learning for Military Trauma: Novel Massive Transfusion Predictive Models in Combat Zones
Abstract
Damage control resuscitation has become the standard of care in military and civilian trauma. Early identification of blood product requirements may aid in optimizing the clinical decision-making process while improving trauma related outcomes. This study aimed to assess and compare multiple machine learning models for predicting patients at highest risk for massive transfusion on the battlefield.Supervised machine learning approaches using...
Paper Details
Title
Machine Learning for Military Trauma: Novel Massive Transfusion Predictive Models in Combat Zones
Published Date
Feb 1, 2022
Journal
Volume
270
Pages
369 - 375
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