军事医学2025，Vol.49Issue(1)：15-21,7.DOI:10.7644/j.issn.1674-9960.2025.01.003
基于强化学习的医学救援队地震伤员智能分类仿真研究
Simulation of intelligent triage of earthquake casualties by medical rescue teams based on reinforcement learning
吴娟 1荆钧尧 2荆斌 3吴斌 1孙娜娜1
作者信息
- 1. 空军军医大学(第四军医大学)唐都医院,西安 710032
- 2. 北方电子研究院有限公司,西安 710100
- 3. 解放军总医院医疗保障中心,北京 100853
- 折叠
摘要
Abstract
Objective To design and develop an intelligent triage model for earthquake casualties that is intended for medical rescue teams based on reinforcement learning and the feasibility of this model is verified via computer simulation.Methods The process,difficulty,and requirements of the triage of the injured during an earthquake medical rescue were analyzed.The Markov decision process was used to formally describe the problem.Subsequently,a triage model was designed and developed based on reinforcement learning.Finally,the effectiveness of the model was verified through simulation experiments.Results Compared with conventional triage strategies,this intelligent triage model showed significant advantages in terms of mortality rates and waiting time.Under experimental conditions,casualties decreased by nearly 50％,and the waiting time for both nonoperative casualties(T-class)and operative casualties(S-class)casual-ties also decreased.Conclusion The intelligent triage model can autonomously learn triage strategies,reduce the ca-sualty rate while lowering the waiting time for the injured,thereby effectively improving the efficiency of treatment of earthquake injuries.关键词
地震/伤员/分类/强化学习/仿真Key words
earthquake/casualty/triage/reinforcement learning/simulation分类
信息技术与安全科学引用本文复制引用
吴娟,荆钧尧,荆斌,吴斌,孙娜娜..基于强化学习的医学救援队地震伤员智能分类仿真研究[J].军事医学,2025,49(1):15-21,7.
