Machine-Learning Enhanced Prediction of Need for Hemorrhage Resuscitation after Trauma – The ShockMatrix Pilot Study
TOBIAS GAUSS,
JEAN-DENIS MOYER,
CLELIA COLAS
et al.
Abstract:Importance:
Decision-making in trauma patients remains challenging and often result in deviation from guidelines. Machine-Learning (ML) enhanced decision-support could improve hemorrhage resuscitation.
Aim
To develop a ML enhanced decision support tool to predict Need for Hemorrhage Resuscitation (NHR) (part I) and test the collection of the predictor variables in real time in a smartphone app (part II).
Design, Setting, and Participants:
Development of a ML model from a registry to predict NHR relying exc… Show more
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