Construction and optimization of traditional Chinese medicine constitution prediction models based on deep learning

Objective To cater to the demands for personalized health services from a deep learning per-spective by investigating the characteristics of traditional Chinese medicine(TCM)constitu-tion data and constructing models to explore new prediction methods.Methods Data from students at Chengdu University of Traditional Chinese Medicine were collected and organized according to the 24 solar terms from January 21,2020,to April 6,2022.The data were used to identify nine TCM constitutions,including balanced constitution,Qi deficiency constitution,Yang deficiency constitution,Yin deficiency constitution,phlegm dampness constitution,damp heat constitution,stagnant blood constitution,Qi stagnation constitution,and specific-inherited predisposition constitution.Deep learning algorithms were employed to construct multi-layer perceptron(MLP),long short-term memory(LSTM),and deep belief network(DBN)models for the prediction of TCM constitutions based on the nine constitution types.To optimize these TCM constitution prediction models,this study in-troduced the attention mechanism(AM),grey wolf optimizer(GWO),and particle swarm op-timization(PSO).The models’performance was evaluated before and after optimization us-ing the F1-score,accuracy,precision,and recall.Results The research analyzed a total of 31655 pieces of data.(i)Before optimization,the MLP model achieved more than 90%prediction accuracy for all constitution types except the balanced and Qi deficiency constitutions.The LSTM model's prediction accuracies exceeded 60%,indicating that their potential in TCM constitutional prediction may not have been fully realized due to the absence of pronounced temporal features in the data.Regarding the DBN model,the binary classification analysis showed that,apart from slightly underperforming in predicting the Qi deficiency constitution and damp heat constitution,with accuracies of 65%and 60%,respectively.The DBN model demonstrated considerable discriminative power for other constitution types,achieving prediction accuracy rates and area under the receiver op-erating characteristic(ROC)curve(AUC)values exceeding 70%and 0.78,respectively.This indicates that while the model possesses a certain level of constitutional differentiation abili-ty,it encounters limitations in processing specific constitutional features,leaving room for further improvement in its performance.For multi-class classification problem,the DBN model’s prediction accuracy rate fell short of 50%.(ii)After optimization,the LSTM model,enhanced with the AM,typically achieved a prediction accuracy rate above 75%,with lower performance for the Qi deficiency constitution,stagnant blood constitution,and Qi stagna-tion constitution.The GWO-optimized DBN model for multi-class classification showed an increased prediction accuracy rate of 56%,while the PSO-optimized model had a decreased accuracy rate to 37%.The GWO-PSO-DBN model,optimized with both algorithms,demon-strated an improved prediction accuracy rate of 54%.Conclusion This study constructed MLP,LSTM,and DBN models for predicting TCM consti-tution and improved them based on different optimisation algorithms.The results showed that the MLP model performs well,the LSTM and DBN models were effective in prediction but with certain limitations.This study also provided a new technology reference for the es-tablishment and optimisation strategies of TCM constitution prediction models,and a novel idea for the treatment of non-disease.

Terahertz spectrum clustering of traditional Chinese medicine based on first derivative characteristics

In order to deal with the unclear absorption peak caused by the absorption peak overlap of traditional Chinese medicine(TCM)and other mixtures,a method of three unsupervised clustering algorithms as K-means,K-medoids and Fuzzy C-means(FCM)combined with the first derivative characteristics of terahertz absorption spectrum,is proposed to perform the terahertz spectra clustering of Sanchi and other three kinds of TCM compared with their easily-confused products(ECPs).These three unsupervised clustering methods complement the scope of the supervised learning classification method.The first derivative of the spectrum could amplify the difference in the absorption coefficient with different substances,so that the obvious absorption peak can be revealed.Experiments shows that these three clustering algorithms can achieve good results by combining the origin absorption coefficient with its first-order derivative as the characteristic data,and among which K-means does the best with the accuracy of95.32%.Compared with pure absorption coefficient data clustering,the accuracy in this study has been significantly improved,especially for the non-absorption-peak TCM classification.And the accuracy of K-means algorithm is improved by5.38%.Besides,clustering algorithms in this study have strong anti-interference ability to the error data.

The theory development of traditional Chinese medicine constitution: a review

Traditional Chinese medicine constitution (TCMC),as one of the most important parts of Chinese medicine theory,attracted the attention of more and more researchers and many research projects were conducted during past several decades in China's Mainland.This review provided a historic overview of TCMC theory and research progress in its classification,evaluation criteria and epidemiology,so as to give people through a different lens to understand human health.

Detection of consensuses and treatment principles of diabetic nephropathy in traditional Chinese medicine: A new approach

Objective:To propose and test a new approach based on community detection in the field of social computing for uncovering consensuses and treatment principles in traditional Chinese medicine(TCM).Methods:Three Chinese databases(CNKI,VIP,andWan Fang Data)were searched for published articles on TCM treatment of diabetic nephropathy(DN)from their inception until September 31,2014.Zheng classification and herbdatawereextractedfromincluded articlesand usedto construct a Zheng classification and treatment of diabetic nephropathy(DNZCT)network with nodes denoting Zhengs and herbs and edges denoting corresponding treating relationshipsamong them.Community detection was applied to the DNZCT and detected community structures were analyzed.Results:A network of 201 nodes and 743 edges were constructed and six communities were detected.Nodes clustered in the samecommunity captured the samesemantic topic;different communities had unique characteristics,and indicated different treatment principles.Large communities usually represented similar points of view or consensuses on common Zheng diagnoses and herb prescriptions;small communities might help to indicate unusual Zhengs and herbs.Conclusion:The results suggest that the community detection-based approach is useful and feasible for uncovering consensuses and treatment principles of DN treatment in TCM,and could be used to address other similar problems in TCM.

Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.

Relationship between symptoms of traditional Chinese medicine and indicator of western medicine about liver cirrhosis

Traditional Chinese medicine (TCM) is one of the safe and effective methods to treat liver cir-rhosis. The practitioners of TCM assess hepatic function in term of syndrome. But the course of syndrome differentiation is subjectivity. At pre-sent most of all the researches are focused on the relationship between the syndrome and the Western medicine objective indicators such as child-pugh grade. In fact syndrome is the syn-thesis of signs and symptoms and collecting signs, symptoms is easy than syndrome differ-entiation. We try to explore the relationship be-tween the objective Western medicine standard such as child-pugh grade, decompensation or compensation stage, active or inactive period and the signs and symptoms of TCM by using the data mining method. We use the information gain method to assess the attributes and use five typical classifiers such as logistic, Bayes-Net, NaiveBayes, RBF and C4.5 to obtain the classification accuracy. After attribute selection, we obtain the main symptoms and signs of TCM relating to the stage, period and child-pugh grade about liver cirrhosis. The experiment re-sults show the classification accuracy is im-proved after filtering some symptoms and signs.

Visualization analysis of the international standard ISO/TC 249 for traditional Chinese medicine

Objective This study proposes to visually review the current situation and progress of standards sets by the International Organization for Standardization/Technical Committee on Traditional Chinese Medicine(ISO/TC 249). The review aims to explore the development strategies of the standards, which will exhibit the considerable impact on the economy, trade and exchanges, and cooperation in the area of traditional Chinese medicine(TCM).Methods ISO/TC 249 standards were searched on the ISO website, and their title, proposed time, current stage, scope, and classification were obtained for further summarization. Gephi was utilized to portray the co-occurrence network graph of the ISO/TC 249 standards subject.Results In ISO/TC 249, there were 116 standards, including 81 published standards and 35 developing standards by April 30, 2022. Two withdrawal standards were published after revision, which were not counted in the total standards. The number of published standards has been increasing since the first standard was published in 2014, whose title was “Sterile acupuncture needles for single use”. Among these standards, 17.24%(20/116) standards were in review, 56.03%(65/116) in publication, 3.45%(4/116) in approval, 5.17%(6/116) in enquiry,3.45%(4/116) in committee, and 14.66%(17/116) in preparation, respectively. With 116 standards, most of the research focused on the medicament, as its classification of the International Classification for Standards(ICS) showed the proportion reaching 49.54%. The network analysis data revealed that the top five most frequent words were “materials” “root” “requirements” “products” and “system”, after removing the noise data, such as prepositions,conjunctions, and pronouns. Additionally, the word “system” co-exists with the terms “computerized” “coding” “image” “tongue” and “analysis”;the word “requirement” co-exists with“manufacturing” “decoction” “process” and “materials”;whereas the word “devices” coexists with “pulse” “electric” “skin” and “measurement”.Conclusion With the increased diversification and complexity of problems, the development of standards is also oriented to multidisciplinary fields to cultivate the interdisciplinary talents, and especially the international standardization talents of compound TCM. Multi-angle analysis, formulation, and demonstration of standards, in line with industry needs in different disciplines, enhance the availability of standards and the ability to serve the industry.

Study and Countermeasures on Safety Control of Traditional Chinese Medicines Industry Chain

I'm very grateful to Chinese Pharmaceutical Association and DIA for their elaborate organization,so that we are able to participate in the Sino-Europe Symposium.Yesterday and today,several professors have talked about various aspects.It is true that the effectiveness of traditional Chinese medicine is important,and safety is equally important.For this reason,our laboratory works on the effective test,and at the same time,since 2001,we have been focusing on the safety of traditional Chinese medicines,especially the research on exogenous pollution.Today,I would like to share with you some of the quality control of the whole industry chain of traditional Chinese medicine and some of our thoughts.

Distribution patterns and industry planning of commonly used traditional Chinese medicinal plants in China

Medicinal plants are the primary material basis for disease prevention and treatment in traditional Chinese medicine(TCM).The conservation and sustainable utilization of these medicinal plants is critical for the development of the TCM industry.However,wild medicinal plant resources have sharply declined in recent decades.To ameliorate the shortage of medicinal plant resources,it is essential to explore the development potential of the TCM industry in different geographical regions.For this purpose,we examined the spatial distribution of commonly used medicinal plants in China,the number of Chinese medicinal material markets,and the number of TCM decoction piece enterprises.Specifically,multispecies superimposition analysis and Thiessen polygons were used to reveal the optimal range for planting bulk medicinal plants and the ideal regions for building Chinese medicinal material markets,respectively.Furthermore,we quantitatively analyzed mismatches between the spatial distribution of commonly used medicinal plant richness,Chinese medicinal material markets,and TCM decoction piece enterprises.We found that the areas suitable for growing commonly used medicinal plants in China were mainly distributed in Hengduan Mountain,Nanling Mountain,Wuling Mountain,and Daba Mountain areas.The Thiessen polygon network based on Chinese medicinal material market localities showed there are currently fewer markets in southwestern,northwestern,and northeastern China than in central and southern China.TCM decoction piece enterprises are concentrated in a few provinces,such as Hebei and Jiangxi.We found that the distribution of commonly used medicinal plants,Chinese medicinal material markets and TCM decoction piece enterprises are mismatched in Henan,Shaanxi,Hunan,Hubei,Zhejiang,Fujian,Chongqing,and Xizang.We recommend strengthening development of the TCM industry in Henan,Hunan,Zhejiang,Shaanxi,Hubei,Chongqing,Fujian,and Xizang;building more Chinese medicinal material markets in southwestern,northwestern,and northeastern China;and establishing medicinal plant nurseries in resource-rich provinces to better protect and domesticate local medicinal plants.

Quality 4.0 technologies to enhance traditional Chinese medicine for overcoming healthcare challenges during COVID-19

The Quality 4.0 concept is derived from the industrial fourth revolution,i.e.,Industry 4.0.Quality 4.0 is the future of quality,where new digital and disruptive technologies are used to maintain quality in organizations.It is also suitable for traditional Chinese medicine(TCM)to maintain quality.This quality revolution aims to improve industrial and service sectors’quality by incorporating emerging technologies to connect physical systems with the natural world.The proposed digital philosophy can update and enhance the entire TCM treatment methodology to become more effective and attractive in the current competitive structure of the pharmaceutical and clinical industries.Thus,in healthcare,this revolution empowers quality treatment during the COVID-19 pandemic.There is a major requirement in healthcare to maintain the quality of medical tools,equipment,and treatment processes during a pandemic.Digital technologies can widely be used to provide innovative products and services with excellent quality for TCM.In this paper,we discuss the significant role of Quality 4.0 and how it can be used to maintain healthcare quality and fulfill challenges during the pandemic.Additionally,we discuss 10 significant applications of Quality 4.0 in healthcare during the COVID-19 pandemic.These technologies will provide unique benefits to maintain the quality of TCM throughout the treatment process.With Quality 4.0,quality can be maintained using innovative and advanced digital technologies.

Traditional Chinese Herbal Medicine for Epilepsy Treatment Should Be Administered According to the Seizure Type and Epileptic Syndrome

Traditional Chinese herbal medicine (TCHM) has long been used to treat epilepsy. Although many clinical trials and animal studies have seemingly demonstrated its effect, the question of whether TCHM is efficacious in epileptic patients has not been certified because of insufficient supportive evidence. This insufficient supportive evidence stems from the fact that most of the current studies regarding TCHM for epilepsy treatment are not designed according to the different seizure types and epileptic syndromes (STESs). Here, we explore the reasons why many studies have not considered the various STESs and explain how to treat epilepsy according to the pharmacological mechanism for different STESs and exploit the advantage of TCHM for epilepsy treatment. Then, we explain how we treat epilepsy using TCHM according to the different STESs and Bian Zheng Lun Zi.

A multi-modal clustering method for traditonal Chinese medicine clinical data via media convergence

Media convergence is a media change led by technological innovation.Applying media convergence technology to the study of clustering in Chinese medicine can significantly exploit the advantages of media fusion.Obtaining consistent and complementary information among multiple modalities through media convergence can provide technical support for clustering.This article presents an approach based on Media Convergence and Graph convolution Encoder Clustering(MCGEC)for traditonal Chinese medicine(TCM)clinical data.It feeds modal information and graph structure from media information into a multi-modal graph convolution encoder to obtain the media feature representation learnt from multiple modalities.MCGEC captures latent information from various modalities by fusion and optimises the feature representations and network architecture with learnt clustering labels.The experiment is conducted on real-world multimodal TCM clinical data,including information like images and text.MCGEC has improved clustering results compared to the generic single-modal clustering methods and the current more advanced multi-modal clustering methods.MCGEC applied to TCM clinical datasets can achieve better results.Integrating multimedia features into clustering algorithms offers significant benefits compared to single-modal clustering approaches that simply concatenate features from different modalities.It provides practical technical support for multi-modal clustering in the TCM field incorporating multimedia features.

Reason Analysis and Risk Prevention of Soaring Price of Traditional Chinese Medicinal Materials

In recent years,the price of traditional Chinese medicinal materials soars continuously,and the resulting price risk increasingly looms large,which has critically affected midstream and downstream industries and peoples' demand for drug,and imperiled healthy and orderly development of traditional Chinese medicinal industries.Based on the status quo of continuous skyrocketing price of traditional Chinese medicinal materials at present,we winkle out the root cause of soaring price as follows:the supply and demand lose balance;the production costs hike up;there are other factors responsible for soaring price.This paper further analyses the impact of sharp increase in price of traditional Chinese medicinal materials on all links of industry chain as follows:the medicinal herb growers never benefit from soaring price;the counterfeiters and forgers in midstream industry increase;the gross profit rate of Chinese medicine enterprises declines.In accordance with the risk arising from abnormal fluctuation in price of traditional Chinese medicinal materials,corresponding precautionary measures are put forward as follows:promote the quality of traditional Chinese medicinal materials through management of value chain;curtail the production and management cost of traditional Chinese medicinal materials through management of organization chain;stabilize price of traditional Chinese medicinal materials through management of information chain;reduce transaction cost of traditional Chinese medicinal materials through management of logistics chain.

Problems in the Development of Traditional Chinese Medicinal Materials Planting Industry in Shiyan City and Countermeasures

Through the analysis on the cultivation advantages and development problems of traditional Chinese medicinal planting industry in Shiyan City, Hubei Province, some measures were proposed to enlarge and enhance the traditional Chinese medicinal planting industry, namely, large-scale, standardized, market-oriented and regionalized planting, thereby making it the pillar industry for farmers to increase income.

Analysis of novel coronavirus pneumonia treatment with Chinese herbal compound

Objective: To analyze the prescription law of TCM compound in the treatment of new coronavirus pneumonia, and provides reference for the clinical treatment of new coronavirus pneumonia. Methods: Collected Collected 24 novel coronavirus pneumonia related diagnostic and therapeutic plans issued by the National Health Council and the Chinese medicine authority from January 26, 2020 to March 8th ,the filtered solution involved in the formula, establishing database of traditional Chinese medicine compound prescription for the treatment of new crown pneumonia, the frequency of using frequency analysis methods of analysis and clustering analysis and association rules analysis to sort out data mining analysis of traditional Chinese medicine compound. Results: In this study, a total of 159 TCM compounds were included in the treatment of new crown pneumonia from the country and 23 provinces, municipalities and autonomous regions, involving 189 TCM compounds. A total of 62 high-frequency traditional Chinese medicines (frequency ≥ 11) were obtained, mainly including licorice, almond, ephedra, gypsum, Poria cocos, Huoxiang, etc The drug types are mainly heat-clearing drugs, vacuous drugs, moisture-curing drugs, and surfactant drugs. The main effect of the medicine was warm, cold, lukewarm and flat, the main effect of the medicine was bitter and bitter, and the main effect of the medicine was the lung, stomach and spleen. Cluster analysis results according to the performance of traditional Chinese medicine treatment of new crown pneumonia high frequency drugs into 7 classes;Association rule analysis results in 29 common drug pairs. Conclusion: In the treatment of pneumonia caused by new coronavirus infection with traditional Chinese medicine, the following characteristics are presented: the number of times of supplementing qi and Yin is more than that of attacking evil and maintaining health;The method of dispersing and solving the attack of wet, beneficial, wet, permeable and wet medicine fully embodies a variety of ways to drive away evil;In terms of drugs, heat-clearing drugs, deficiency drugs, dampness drugs and surface drugs are the main ones, highlighting that the basic treatment method is to dissolve dampness and detoxify, and replenish qi and Yin. In summary, this study can provide reference for guiding clinical drug use and developing new drugs.

Consensus on the integrated traditional Chinese and Western medicine criteria of diagnostic classification in polycystic ovary syndrome(draft)

Polycystic ovary syndrome （PCOS） is the most common endocrine and metabolic disorder of women, with complex pathogenesis and heterogeneous manifestations. Professor Jin Yu recently wrote an article entitled ＂Proposal of Diagnosis and Diagnostic Classification of PCOS in Integrated Traditional Chinese and Western Medicine.＂ From this, the Obstetrics and Gynecology branches of the Chinese Association of Integrative Medicine and the China Association of Chinese Medicine collaborated with the Gynecology branch of the Chinese Association for Research and Advancement of Chinese Medicine to draft a report on the consensus of criteria for the diagnosis and classification of PCOS in integrated traditional Chinese and Western medicine. The diagnosis for PCOS includes all three features： （1） oligo-ovulation or anovulation; （2） clinical and/or laboratory evidence of hyperandrogenism; （3） PCOS is classified into four types： types la, Ib, Ila, and lib. Syndrome differentiation types for PCOS in traditional Chinese medicine are as follows： Kidney deficiency with phlegm blockage syndrome, Kidney Yin deficiency with phlegm blockage and blood stasis syndrome, and Kidney deficiency with Liver Qi stagnation syndrome.

Advances in clinical and preclinical research in traditonal Chinese medicine for treating sub-health related symptom clusters

Sub-health,characterized by an imbalance of yin and yang within the organism.Traditional Chinese medicine(TCM)demonstrates distinct advantages and potential in the prevention and treatment of suboptimal health.This study innovatively focuses on common symptoms within five domains of the“Suboptimal Health Status Questionnaire-25”through a systematic review of relevant literature,it delves into the clinical research status and mechanistic advances of TCM interventions for suboptimal health-related symptoms.Document analysis demonstrates that TCM interventions have shown efficacy in ameliorating diverse symptoms in individuals with suboptimal health,can achieve the effect of bolstering immunity,maintaining metabolic equilibrium,and regulating the operations of internal organs to promote overall physical and mental well-being.Its mechanism of action is closely related to immune regulation,metabolic control,inflammation management,oxidative stress inhibition,hypothalamic-pituitary-adrenal axis and brain-gut axis.In summary,this paper offers a systematical review of clinical and preclinical studies on TCM interventions for sub-health symptom clusters,outlining the current research landscape and affording a more scientific and effective theoretical basis and clinical evidence for the application of TCM in the field of sub-health intervention.This is expected to promote the further application and development of TCM in the prevention and treatment of sub-health,offering new ideas and methods for addressing sub-health issues.

牛蒡产业现状与发展战略

系统总结中国牛蒡产业的基本情况,运用优势、劣势、机会和威胁(SWOT)分析法,并通过多专家评价法对得到的因素加以筛选、检验。中国牛蒡产业发展应当采取依靠内部优势利用外部机会的机会性开拓型战略(S-O战略),且从方位判断,外部机会更为明显。在利用外部机会、发挥自身优势的基础上采取产品多元化发展战略、拓展国际市场战略和科技推动战略来推动中国牛蒡产业的高效发展。

“三高四新”战略下基于创新中药现代产业学院的复合型拔尖人才培养路径研究

研究生教育作为我国高等教育体系的重要组成部分,是高层次人才培养的重要途径。该文拟以“三高四新”伟大战略为方向,以创新中药现代产业学院为依托,从搭建产教融合新平台、组建研究生创新导学团队、注重学生实践能力培养、创新研究生培养考核评价机制四个方面进行中医药院校药学类研究生人才培养模式重构,并予以实施,以期培养具有过硬综合素质、较强创新能力和科学研究能力的复合型拔尖中药研究人才。

Expression profiling-based clustering of healthy subjects recapitulates classifications defined by clinical observation in Chinese medicine

Differences between healthy subjects and associated disease risks are of substantial interest in clinical medicine. Based on clinical presentations, Traditional Chinese Medicine （TCM） classifies healthy people into nine constitutions： Balanced, Qi, Yang or Yin deficiency, Phlegm-dampness, Damp-heat, Blood stasis, Qi stagnation, and Inherited special constitutions. In particular, Yang and Yin deficiency constitutions exhibit cold and heat aversion, respectively. However, the intrinsic molecular characteristics of unbal- anced phenotypes remain unclear. To determine whether gene expression-based clustering can reca- pitulate TCM-based classification, peripheral blood mononudear cells （PBMCs） were collected from Chinese Han individuals with Yang/Yin deficiency （n = 12 each） and Balanced （n = 8） constitutions, and global gene expression profiles were determined using the Affymetrix HC-UI33A Plus 2.0 array. Notably, we found that gene expression-based classifications reflected distinct TCM-based subtypes. Consistent with the clinical observation that subjects with Yang deficiency tend toward obesity, series-clustering analysis detected several key lipid metabolic genes （diacylglycerol acyltransferase （DGAT2）, acyl-CoA synthetase （ACSL1）, and ATP-hinding cassette subfamily A member 1 （ABCAI）） to be down- and up- regulated in Yin and Yang deficiency constitutions, respectively. Our findings suggest that Yin]Yang deficiency and Balanced constitutions are unique entities in their mRNA expression profiles. Moreover, the distinct physical and clinical characteristics of each unbalanced constitution can be explained, in part, by specific gene expression signatures.