辽宁中医杂志2026，Vol.53Issue(4)：1-6,6.DOI:10.13192/j.issn.1000-1719.2026.04.001
干眼的中医智能辅助诊断模型研究
Study on TCM Intelligence-assisted Diagnosis Model of Dry Eye
摘要
Abstract
Objective The accuracy of traditional Chinese medicine syndrome differentiation for dry eye needs to be improved,and there are shortcomings.This study aimed to construct a traditional Chinese medicine intelligence-assisted diagnosis model for dry eye based on objective information.Methods By utilizing 14 machine learning techniques,the model can provide the corre-sponding diagnostic judgments for new data,thereby optimizing the diagnosis and treatment strategies of traditional Chinese medi-cine for dry eye.Results The XGBoost algorithm demonstrated excellent performance on the binary classification model of dry eye deficiency and excess syndromes.The classification model for specific dry eye syndrome types constructed by using 14 machine learning methods had poor performance while the Extra-Trees algorithm showed better performance in the tertiary classification model of dry eye with solid evidence types,and the CatBoost algorithm showed better performance in the tertiary classification model of dry eye with deficiency syndromes.Conclusion Compared with the direct use of machine learning to construct a six-classification model for the specific evidence type of dry eye,on the basis of the two-classification model for the deficiency and excess syndromes,the most appropriate algorithm should be used to construct the model for the different objectives of the dry eye syndrome classification task to ensure that the performance of the model achieves the best results.关键词
人工智能/机器学习/诊断/干眼/证型Key words
artificial intelligence/machine learning/diagnosis/dry eye/type of syndrome分类
医药卫生引用本文复制引用
高远,伍紫炫,盛博洋,李丹阳,张仕娜,晏峻峰,彭清华..干眼的中医智能辅助诊断模型研究[J].辽宁中医杂志,2026,53(4):1-6,6.基金项目
国家自然科学基金项目(82274588) （82274588）
湖南省研究生科研创新项目(QL20220183) （QL20220183）
湖南省教育厅重点项目(21A0250) （21A0250）
湖南中医药大学中医学一流学科开放基金项目(2022ZYX08) （2022ZYX08）
湖南中医药大学科研揭榜挂帅项目(2022XJJB003) （2022XJJB003）
福建中医药大学附属人民医院学术委员会自选科研项目(2025-09) （2025-09）
福建中医药大学2025年校级教育教学改革研究项目(XJJGY25071) （XJJGY25071）
