世界科学技术-中医药现代化2026，Vol.28Issue(4)：1242-1252,11.DOI:10.11842/wst.20250416005
融合定性定量分析和神经网络的失眠辨证辅助决策模型构建与验证
Construction and Validation of an Assisted Decision-Making Model Integrating Qualitative-Quantitative Analysis and Neural Networks for Insomnia Syndrome Differentiatio
摘要
Abstract
Objective To provide reference for clinical auxiliary diagnosis and application,medical case records of famous old traditional Chinese medicine(TCM)practitioners treating insomnia was explored based on TCM theory and neural network.Methods Based on 1205 cases of insomnia treated by famous old TCM practitioners,data standardization and coding were carried out.Extreme gradient boosting(XGBoost)algorithm quantitatively extracted the core symptoms and qualitatively analyzed their accuracy based on TCM theories.Insomnia syndrome differentiation assisted decision-making model was constructed based on the Backpropagation(BP)neural network architecture and integrated with the Particle swarm optimization(PSO).The model performance was evaluated by accuracy,mean square error(MSE)and F1-score,and the reliability of the model was verified by simulation data.Results 73 core symptoms were screened out by comprehensive XGBoost feature extraction and TCM theory analysis.The accuracy of the optimized model was 88.80%,the MSE was 0.041,and the F1-scores of syndrome types 1-5 were 89.86%,87.76%,93.22%,87.03%,84.51%,respectively.And the accuracy of simulation data validation was 89.17%.Conclusion The fusion of qualitative theory and quantitative data enhances the interpretability of the feature extraction process,and the assisted decision-making model for insomnia syndrome differentiation constructed by fusing qualitative and quantitative analysis has good performance,providing a new method for intelligent diagnosis and treatment of TCM.关键词
失眠/定性定量分析/辨证模型/神经网络Key words
Insomnia/Qualitative and quantitative analysis/Syndrome differentiation model/Neural networks分类
医药卫生引用本文复制引用
周玲艳,叶桦,常颢玉,袁萍,王焦,王凤瑶..融合定性定量分析和神经网络的失眠辨证辅助决策模型构建与验证[J].世界科学技术-中医药现代化,2026,28(4):1242-1252,11.基金项目
国家自然科学基金委员会面上项目(82575261):基于名医动态诊疗数据与Transformer-GNN的COPD辨证论治新方法构建研究,负责人:叶桦 （82575261）
四川省卫生信息学会科研课题(2023052):川派名老中医治疗顽固性失眠诊治规律及核心药物作用机制研究,负责人:叶桦 （2023052）
大学生科研实践创新课题(ky-2025001):名中医脾胃不和型失眠辨治经验及对《伤寒论》的传承发展研究,负责人:王焦. （ky-2025001）
