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Machine Learning for Military Trauma: Novel Massive Transfusion Predictive Models in Combat Zones

Daniel Lammers, Christopher W. Marenco, Kaitlin Morte, Jeffrey Conner, James Williams, Tim Bax, Matthew J. Martin, Matthew J. Eckert, Jason Bingham

2021Journal of Surgical Research40 citationsDOI

Topics & Concepts

TriageMedicineRandom forestInjury Severity ScoreMachine learningLogistic regressionBattlefieldPopulationDecision treeRevised Trauma ScoreArtificial intelligenceMajor traumaEmergency departmentEmergency medicineComputer sciencePoison controlMedical emergencyInjury preventionPsychiatryAncient historyEnvironmental healthHistoryTrauma, Hemostasis, Coagulopathy, ResuscitationTrauma and Emergency Care StudiesBlood transfusion and management
Machine Learning for Military Trauma: Novel Massive Transfusion Predictive Models in Combat Zones | Litcius