Development of an Anticipatory Triage-Ranking Algorithm Using Dynamic Simulation of the Expected Time Course of Patients With Trauma: Modeling and Simulation Study.

Manuel Sigle Leon Berliner Erich Richter Mart van Iersel Eleonora Gorgati Hubloue Ives Maximilian Bamberg Christian Grasshoff Peter Rosenberger Robert Wunderlich

Published in: Journal of medical Internet research (2023)

The findings of this study suggest the feasibility and relevance of our model, which is unique in terms of its ranking system, prognosis outline, and time course anticipation. The proposed triage-ranking algorithm could offer an innovative triage method with a wide range of applications in prehospital, disaster, and emergency medicine, as well as simulation and research.

Keyphrases

emergency department
emergency medicine
machine learning
deep learning
trauma patients
cardiac arrest
neural network