军事医学2026，Vol.50Issue(3)：216-220,5.DOI:10.7644/j.issn.1674-9960.2025-00252
多模态数据驱动的军事人员高原适应性评估模型研究进展
Research progress in multimodal data-driven evaluation models for plateau adaptability of military personnel
摘要
Abstract
The plateau environment poses significant challenges to the physiology and operational capability of military personnel,which is also a key contributor to non-combat casualties.Traditional evaluation methods using single-modal indicators lack dynamic monitoring capabilities and fail to capture complex dynamic stress reactions.This paper reviews the research progress in multimodal data-driven evaluation models for plateau adaptability by analyzing the pathological mechanisms and influencing factors of plateau adaptability and outlining the limitations of current standards and single-modal machine learning.The construction of multimodal data-driven models is explored,focusing on both data architectures that combine physiological,behavioral and environmental modalities for military scenarios and cross-modal alignment and fusion techniques.Furthermore,military applications such as dynamic early warning of non-combat casualties,personalized acclimatization and intelligent military health support are described.Finally,future developments in multimodal data-driven evaluation models for plateau adaptability are predicted in hopes of contributing to the combat effectiveness of troops on the plateau.关键词
高原反应/高原适应性/军事人员/作业能力/多模态数据/评估模型Key words
acute mountain sickness/plateau adaptability/military personnel/operational capability/multimodal data/evaluation model分类
军事科技引用本文复制引用
张洋,王乐翔,姜明明,程乃俊,宋婷婷,何昆仑..多模态数据驱动的军事人员高原适应性评估模型研究进展[J].军事医学,2026,50(3):216-220,5.基金项目
西藏自治区重点研发及转化重点专项(XZ202501ZY0060) （XZ202501ZY0060）
武警部队国防科技自主科研项目(ZZKY20253101) （ZZKY20253101）
