Enhancing the clinical relevance of haemorrhage prediction models in trauma

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外文关键词：

TraumaInjuryBlood transfusionMassive transfusionPredictionArtificial intelligenceMachine learning

作者：

Sankalp Tandle、Jared M.Wohlgemut、Max E.R.Marsden、Erhan Pisirir、Evangelia Kyrimi、Rebecca S.Stoner、William Marsh、Zane B.Perkins、Nigel R.M.Tai

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作者单位：

Centre for Trauma Sciences,Blizard Institute,Queen Mary University of London,London E1 2AT,UK

The Royal London Hospital,Barts Health NHS Trust,London E1 1FR,UK

Academic Department of Military Surgery and Trauma,Research and Clinical Innovation,The Royal Centre for Defence Medicine,Birmingham B15 2WB,UK

Department of Electronic Engineering and Computer Science,Queen Mary University of London,London E1 4NS,UK

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基金：

precision trauma care research award from the Combat Casualty Care Research Program of the US Army Medical Research and Materiel

项目编号：

DM180044

出版年：

2024

DOI：

军事医学研究(英文)

CSTPCD

ISSN：2095-7467

年,卷(期)：2024.11(3)