Constitution identification model in traditional Chinese medicine based on multiple features

Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

Relationship between syndrome elements and anterior communicating artery opening in patients with smptomatic severe carotid artery stenosis/occlusion

Objective To study the relationship between syndrome elements and anterior communicating artery(ACoA)opening in patients with symptomatic severe carotid artery stenosis/occlusion.Methods Thirty-six patients with symptomatic severe carotid stenosis/occlusion were collected,including 26 patients with cerebral infarction and 10 patients with transient ischemic attack(TIA).Syndrome elements at five time points were collected.Computer tomography angiography(CTA)combined with magenic resonance angiograp(MRA)was used to evaluate the primary collateral circulation,and the prognosis and syndrome elements were statistically analyzed according to whether the ACoA was open or not.Results The ACoA was open more in the primary collateral circulation among patients with symptomatic severe carotid stenosis/occlusion.There was a statistically significant difference in national institute of health stroke scale(NIHSS)score improvement and good prognosis[the modified rankin scale(mRS)≤2]between the ACoA open group and the ACoA nonopen group on the 90th day(P<0.05).The proportion of patients with internal wind syndrome,blood stasis syndrome,Qi deficiency syndrome,and Yin deficiency syndrome in the ACoA non-open group was higher than that in the open group.Conclusion In the patients with severe carotid artery stenosis/occlusion,the group with presence of anterior communicating artery had better prognosis.The syndrome elements are more complex in the group without the presence of anterior communicating artery.The proportion of Qi deficiency syndrome was positively correlated with the non-opening of anterior communicating artery.The imaging evaluation of collateral circulation can provide guidance for syndrome differentiation and treatment.

医疗机构中药药物警戒体系建设指南

由中国中医科学院中医临床基础医学研究所与北京中医药大学东方医院牵头,中华中医药学会归口管理的《医疗机构中药药物警戒体系建设指南》团体标准于2024年1月16日于全国团体标准信息平台公布,标准号T/CACM 1563.2-2024。借鉴欧盟药物警戒法规以及国际人用药品注册技术协调会(ICH)的二级指导原则,在充分考虑中药自身特点基础上,明确医疗机构建设中药药物警戒体系的相关制度和流程,包括建设中药药物警戒信息平台、配备人员、制定各种规章制度、全链条监测中药(包括中药饮片、颗粒剂、中成药、院内制剂、上市前中成药等)药品不良反应等,形成符合中药特点的医疗机构中药药物警戒体系,在不同级别医疗机构中,可根据医疗机构职业范围和实际情况进行适当调整。从而更好地开展中药药物警戒工作,保障用药安全。该团体标准经组内外专家多轮征求意见,最终形成了适用于医疗机构以及医疗相关单位进行药物警戒活动的指南性文件。