转化医学杂志2025，Vol.14Issue(4)：176-180,5.DOI:10.3639/j.issn.2095-3097.2025.04.034
智能检伤分类系统数据平台的构建
Construction of Data Platform for Intelligent Triage System
摘要
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.关键词
地震灾害/检伤分类/人工智能/救治链Key words
Earthquake disaster/Triage/Intelligent/Treatment chain分类
计算机与自动化引用本文复制引用
郭晓今,姚婧,马晨凯,李鑫,刘久弘,李向晖..智能检伤分类系统数据平台的构建[J].转化医学杂志,2025,14(4):176-180,5.基金项目
解放军总医院转化医学项目(ZH19022) （ZH19022）
