Construction of Data Platform for Intelligent Triage System
GUO Xiaojin
YAO Jing
MA Chenkai
LI Xin
LIU Jiuhong
LI Xianghui
Abstract：Objective Aiming at the problems of low efficiency and dependence on experience of traditional injury detection and classification methods in complex battlefield and large-scale disaster rescue scenarios,this study aims to develop an intelligent injury detection and classification system for real-time monitoring and dynamic assessment of the vital signs of the injured,to achieve rapid and accurate automatic quantitative classification of injuries,optimizing the priority of first-aid treat-ment,and improving the timeliness and accuracy of the inspection.Methods The system is based on the artificial neural net-work algorithm,combined with real-time physiological signal acquisition technology,intelligent quantitative grading algorithm and integrated integration technology.It is designed to realize intelligent injury classification for rescue scenarios.Results The study utilized a hybrid architecture combining B/S and C/S to build an intelligent injury detection and classification platform covering the whole cycle of"on-scene-transport-in-hospital"treatment.Conclusion The intelligent injury detection and classification system proposed in this study significantly improves the timeliness and accuracy of injury detection and classi-fication at the scene of a disaster through the integration of the ANN algorithm and a full-cycle data chain,providing scientific support for decision-making on the priority of treatment for the injured.
Keywords：Earthquake disasterTriageIntelligentTreatment chain
Publication Date：2025-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 176-180 )