数字中医药（英文）2025，Vol.8Issue(2)：147-162,16.DOI:10.1016/j.dcmed.2025.06.002
基于面部特征的中医望神分类与贝克抑郁量表评分的相关性分析
Correlation analysis between facial feature-based traditional Chinese medicine inspection of spirit classification and Beck Depression Inventory score
摘要
Abstract
Objective To determine the correlation between traditional Chinese medicine(TCM)inspec-tion of spirit classification and the severity grade of depression based on facial features,offer-ing insights for intelligent intergrated TCM and western medicine diagnosis of depression. Methods Using the Audio-Visual Emotion Challenge and Workshop(AVEC 2014)public dataset on depression,which conclude 150 interview videos,the samples were classified ac-cording to the TCM inspection of spirit classification:Deshen(得神,presence of spirit),Shaoshen(少神,insufficiency of spirit),and Shenluan(神乱,confusion of spirit).Meanwhile,based on Beck Depression Inventory-II(BDI-II)score for the severity grade of depression,the samples were divided into minimal(0-13,Q1),mild(14-19,Q2),moderate(20-28,Q3),and severe(29-63,Q4).Sixty-eight landmarks were extracted with a ResNet-50 network,and the feature extracion mode was stadardized.Random forest and support vectior machine(SVM)classifiers were used to predict TCM inspection of spirit classification and the severity grade of depression,respectively.A Chi-square test and Apriori association rule mining were then applied to quantify and explore the relationships. Results The analysis revealed a statistically significant and moderately strong association be-tween TCM spirit classification and the severity grade of depression,as confirmed by a Chi-square test(χ2=14.04,P=0.029)with a Cramer's V effect size of 0.243.Further exploration us-ing association rule mining identified the most compelling rule:"moderate depression(Q3)→Shenluan".This rule demonstrated a support level of 5%,indicating this specific co-occur-rence was present in 5%of the cohort.Crucially,it achieved a high Confidence of 86%,mean-ing that among patients diagnosed with Q3,86%exhibited the Shenluan pattern according to TCM assessment.The substantial Lift of 2.37 signifies that the observed likelihood of Shenlu-an manifesting in Q3 patients is 2.37 times higher than would be expected by chance if these states were independent—compelling evidence of a highly non-random association.Conse-quently,Shenluan emerges as a distinct and core TCM diagnostic manifestation strongly linked to Q3,forming a clinically significant phenotype within this patient subgroup. Conclusion Automated facial analysis can serve as a common lens for TCM and western psy-chological assessments align in the diagnosis of depression.The inspection of spirit decline trajectory parallels worsening depression,supporting early screening and stratified interven-tion,and providing a reference for the intelligent assistance of integrated TCM and western medicine in the diagnosis of depression.关键词
中医望神分类/抑郁等级/面部特征分析/ResNet特征提取/关联规则挖掘/临床智能诊断Key words
Traditional Chinese medicine inspec-tion of spirit classification/Severity grade of depression/Facial feature analysis/ResNet landmark extraction/Association rule mining/Clinical intelligent diagnosis引用本文复制引用
鲁姗,尚旭波,杨栋,晏峻峰,王枭冶..基于面部特征的中医望神分类与贝克抑郁量表评分的相关性分析[J].数字中医药（英文）,2025,8(2):147-162,16.基金项目
Research and Development Plan of Key Areas of Hunan Science and Technology Department(2022SK2044),and Clinical Research Center for Depressive Disorder in Hu-nan Province(2021SK4022). （2022SK2044）
