Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology

Objective:Colorectal cancer(CRC)is one of the most common malignancies in the world,and traditional Chinese medicine(TCM)is widely used in its treatment in China.However,the medication rules of TCM for CRC treatment remain unclear.Therefore,data mining combined with network pharmacology was utilized to establish treatment principles and rules.Methods:The CRC cases treated at Zhejiang Provincial Hospital of Chinese Medicine from January 1,2016 to October 31,2021 were analyzed using data mining methods.UPLC-Q/TOF-MS analysis was performed to identify the chemical composition of Jiedu Sangen decoction(JSD).Network pharmacology was used to reveal the therapeutic mechanism of JSD.Results:A total of 312 cases 2,998 prescriptions that met the inclusion criteria used 343 kinds of traditional Chinese medicines.The nature of the herbs used in treatment was mainly warm and mild.The taste was mainly sweet,bitter,and pungent.The meridian tropisms were mainly the spleen meridian,followed by lung and stomach meridians.Tonifying and replenishing herbs were the most frequently used in treatment.High-frequency herbs were classified into 11 categories by cluster analysis,and 42 association rules were obtained by association rule analysis.Combined with complex network analysis,3 core prescriptions for clinical CRC treatment were obtained.Jiedu Sangen decoction contains 64 chemical ingredients,out of which 31 active ingredients were identified,including polydatin,caffeic acid,and glutamic acid,along with 130 potential targets such as AKT1,SRC,and MAPK1.Jiedu Sangen decoction may play a role in regulating inflammation,immunity,metabolism,and hormones in the development of CRC via pathways such as the relaxin signaling pathway,IL-17 signaling pathway,prolactin signaling pathway,and T cell receptor signaling pathway.Conclusions:This study summarizes the treatment and medication principles for clinical CRC treatment,promoting the inheritance and development of the traditional Chinese medical experience.

Thinking on the Treatment of Lung Cancer by Regulating Lung-Intestinal Axis Microecology by Traditional Chinese Medicine

The intestinal microecological disorder is closely related to the occurrence and development of lung cancer and the treatment response.This paper starts with the relationship between the lungintestinal axis,to discuss the possibility of TCM regulating the target of intestinal microecological treatment of lung cancer,so as to provide new research ideas for TCM treatment of lung cancer.

Analysis of the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction caused by lung cancer chemotherapy

Objective:To explore the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Methods:The literatures on prevention and treatment of gastrointestinal reaction after chemotherapy with Chinese medicine were searched from CNKI,Wanfang and VIP databases from the establishment of the database to September 2020.After screening,the database was established,and data mining was conducted by using IBM SPSS statistics 20.0 and IBM SPSS modeler 18.0 to summarize the medication rules of traditional Chinese medicine in the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Results:(1)A total of 131 literatures involving 245 traditional Chinese medicines were included for data mining;(2)High frequency drugs include Astragalus membranaceus,liquorice,Poria cocos,Atractylodes macrocephala,Pinellia ternata,Codonopsis pilosula,Ophiopogon japonicus,coix seed,Pericarpium Citri Reticulatae,Radix Glehniae and so on;(3)The traditional Chinese medicine used is mainly tonifying deficiency medicine,resolving phlegm and relieving cough and asthma medicine,diuresis and dampness medicine,heat clearing medicine and antiphlogistic medicine.The medicine tastes bitter and sweet,and has cold and warm properties.The meridian tropism involves liver,lung,stomach,spleen and kidney;(4)Seven core TCM combinations were obtained by cluster analysis,and 24 drug pairs(groups)were obtained by association rule analysis.Conclusion:Through the data mining of traditional Chinese medicine for the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer,we can find out the potential rules of traditional Chinese medicine prescription,and clarify the core Chinese medicine,which is helpful to provide certain reference for the development and research of drugs for the treatment of gastrointestinal reaction and modern clinical practice.

The effect of long-term traditional Chinese medicine treatment on disease-free survival of postoperative stage I-III lung cancer patients:a retrospective cohort study

Objective:Traditional Chinese medicine(TCM)has been extensively used as one of popular alternative therapies for several cancers.However,it remains unclear whether TCM treatment is associated with longer survival in lung cancer patients.In this study,we explored the effect of long-term TCM treatment on patients with different stages of lung cancer.Methods:All information of lung cancer patients with stage I-III disease from January 2007 to September 2015 was collected for this retrospective cohort study.Those who were treated with TCM after surgery were divided into TCM group and the others were into the non-TCM group(control group).All patients were regularly followed up by clinic appointment or phone,and all survival data were collected from databases after the last follow-up in October 2017.Results:A total of 575 patients were included in this study,with 299 patients in the TCM group and 276 in the control group.For all patients,5-year disease-free survival(DFS)was 62.2% in TCM group and 42.1% in the control group,and 6-year DFSs were 51.8% and 35.4%,respectively(HR=0.51,95% CI:0.40 to 0.66,log-rank P≤0.001).For patients with stage I,5-year DFSs were 83.7%(TCM group)and 57.5%(control group)and 6-year DFSs were 73.7% and 51.9%,respectively(HR=0.30,95% CI:0.18 to 0.50,log-rank P≤0.001).For patients with stage II in the TCM group and the control group,5-year DFSs were 59.4% and 17.6% and 6-year DFSs were 44.7% and 17.6%,respectively(HR=0.31,95% CI:0.19 to 0.52,log-rank P≤0.001),and for patients with stage III,5-year and 6-year DFSs in the TCM group were 18.7% and 12.5% compared with 28.4% and 20.3% in the control group(HR=1.06,95% CI:0.72 to 1.56,log-rank P=0.76).Conclusions:This study demonstrated that long-term TCM treatment as an adjuvant therapy is able to improve the DFS of postoperative stage I-III lung cancer patients,especially in patients with stage I and II disease.However,these observational findings need being validated by large sample randomized controlled trials.

Research progress of data mining in the treatment of hypertension by traditional Chinese medicine

With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the treatment of hypertension by traditional Chinese medicine.This research systematically introduces the advantages,disadvantages and application examples of data mining software such as SPSS,TCM inheritance support platform,TCM clinical research information sharing system and data mining methods such as cluster analysis,bayesian network,system evaluation.It is expected to enhance the practical application of data mining in the study of prevention,diagnosis and medication rule of TCM treatment of hypertension,and provide reference for the development of new software and new technology.

Regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on data mining techniques

Objective:This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine(TCM)for allergic purpura.Methods:CNKI,Weipu Chinese science and technology database,wanfang medical network database,and Chinese biomedical literature database were searched for eligible studies.Medical records including complete patient personal information,patient symptoms,TCM syndromes,treatment,and medication were included.The data was analyzed using the Chinese medicine heritage support platform provided by the Chinese Academy of Chinese medicine(V2.5).Results:Differentiation of health gas camp blood was the most commonly used method of differentiation of symptoms and signs in famous veteran TCM.The treatment included cooling blood,activating blood circulation,clearing heat and detoxifying toxins,removing blood stasis and stopping bleeding.Honeysuckle,Forsythia suspensa,cicada slough and other drugs were interrelated.Potential drug pair combinations and drug networks showed the basic drug composition of Qingying Decoction.According to the entropy cluster analysis,28 core drug combination and 12 new formulations were obtained.Conclusion:The regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on the famous and old TCM doctors was complex.Further researches are still needed.

The application of traditional Chinese medicinesynthetic effect criteria in the late stage lung cancer

Objective To inspect the correlation of synthetic effect criteria to sensitivity,reliability of late stage lung cancer curative effect verdict and median survival time. Method Using size change of tumor,symptom change related to tumor,Karnofsky score,body weight etc.as synthetic effect criteria and instituting clinical synthetic effect criteria,to assess the curative effect of late stage lung cancer patients who received different treatment in department of tumor of Xiyuan Hospital between March 1997 and March 2000, to analysis medium survival time, and being compared with RR of tumor.Result 52 patients entered this experiment, in which 42 patients were assessable (follow-up), 13 patients were effective(30.95%),17 were patients stable(40.48%),12 patients deteriorated (28.57%).The result of tumor objective remission rate: CR is 0,PR is 16.67%(7 patients),NC is 64.29%(27 patients) and PD is 19.05% (8 patients).There was apparent difference between two effect criteria(P< 0.05).The mean survival time of this group is (9.3±1.6)months,median survival time is 10.5 months(2～28months),survival rate of one year is 33.33%(14 patients).In the patients who live longer than median survival time, most of them survive associated with tumor existence who are in NC of tumor objective remission rate, but also in the effective column of synthetic effect criteria. Compared with tumor objective remission rate,the synthetic effect criteria have more apparent correlation to survival time. Conclusion In the assessment of late stage lung cancer,synthetic effect criteria has better sensitivity and reliability,and emphasize survival quality,at same time it reflect the reaction of tumor and host to treatment,it reflect prognosis of tumor preferably and have better correlation to the survival time. It can be used as clinical effect criteria of late stage lung cancer after further consummation.

Study on prescription medication mode and mechanism of traditional Chinese medicine in the treatment of noncritical COVID-19 based on data mining

Background:As of 2023,coronavirus disease 2019(COVID-19)is still spreading globally.Therefore,we aim to integrate non-critical COVID-19 high-frequency and high-targeting Chinese medicines to provide a reference for clinical prescriptions to improve COVID-19-related symptoms.Materials and methods:The information on non-critical COVID-19 high-frequency Chinese medicines in the diagnosis and treatment of COVID-19 was obtained by the TCM inheritance support platform.Using network pharmacology and molecular docking technology,high-targeting Chinese medicines with good docking activity with COVID-19 receptors angiotensin-converting enzyme-II(ACE2),3CLpro and tyrosine-protein kinase receptor UFO(AXL)were obtained.A new prescription for non-critical COVID-19 was established by integrating high-frequency and high-targeting Chinese medicines.Rats with acute lung injury induced by lipopolysaccharide were used as the experimental model.The histopathological changes in the lungs of rats in each group were observed by hematoxylin-eosin staining.The lung coefficient of rats was measured.The levels of IL-6,TNF-α,and IL-1βin serum were detected by enzyme-linked immunosorbent assay.The mRNA and protein levels of ACE2 and AXL in lung tissue were detected by real-time quantitative polymerase chain reaction and western blot.Results:Through data mining,it was found that there were 39 high-frequency traditional Chinese medicines for non-critical COVID-19 in the diagnosis and treatment guidelines.According to network pharmacology and molecular docking,30 highly targeted traditional Chinese drugs for COVID-19 were found.The new prescriptions for non-critical COVID-19 were comprehensively obtained,including Glycyrrhizae Radix,Ephedra Herba,Amygdalus Communis Vas,Gypsum Fibrosum,Descurainiae Semen,Atractylodes Lancea,Scutellariae Radix,Amomum Tsao-Ko Crevostet,Forsythiae Fructus,Pogostemon cablin,Magnolia Officinalis.Compared with the LPS-induced lung injury model group,the medium dose of the new prescription group had significantly alleviated pathological changes in lung tissue,decreased lung coefficient,decreased contents of IL-6,TNF-αand IL-1β,and increased mRNA and protein expression of ACE2 and AXL(P<0.05).Conclusion:Based on data mining,network pharmacology and molecular docking technology,the new prescription for non-critical COVID-19 established by this method has an anti-inflammatory effect on rats with acute lung injury induced by lipopolysaccharide and can provide a reference for clinicians to alleviate the symptoms related to non-critical COVID-19.

Research based on data mining compatibility of traditional Chinese medicine with Professor WANG Dong-mei in the treatment of primary dysmenorrhea

Objective:To study the law of compatibility of traditional Chinese medicine in the treatment of primary dysmenorrhea by Professor WANG Dong-mei.Methods:This study collected the Professor WANG Dong-mei’s prescriptions for primary dysmenorrhea cases in the outpatient department,to establish a database by Excel 2015,and to use IBM SPSS statistics 24.0 and SPSS Clementine 12.0 software for clustering analysis and association rules data mining analysis.Results:A total of 106 cases were included,106 prescriptions were collected,114 kinds of drugs were used,nd the cumulative frequency of drug use was 1876 times;the top three drugs were white peony(89 times),Xiangfu(77 times),red peony(75 times);the drugs with the most drug properties and taste frequency were warm and sweet drugs,which were mainly liver meridian;four common pair-used drug groups were Xiangfu yanhusuo,angelica white peony etc.and six groups were common clustering groups.Conclusion:Professor WANG Dong-mei usually chooses the drugs of sweet,warm or spicy in the treatment of primary dysmenorrhea.In addition to the natural efficacy,Prof.Wang also considers modern pharmacological effect in the specific drug selection.The commonly used prescription combination is Shaofu Zhuyu Decoction,which embodies Professor WANG Dong-mei's academic thought of treating primary dysmenorrhea"mainly by warming and regulating qi and blood",and for patients with reproductive needs,in addition to promoting blood circulation and relieving pain,she also adds menstruation regulating and pregnancy aiding drugs,which can not only improve the symptoms of primary dysmenorrhea,but also meet their fertility desire.

Study on medication laws of traditional Chinese medicine of 340 cases of COVID-19 based on data mining

Objective:To analyze the prescription rules of traditional Chinese medicine for patients with COVID-19 in Wuhan Third Hospital, and summarize the disease characteristics and clinical treatment ideas, in order to learn from the treatment of this disease by traditional Chinese medicine.Methods: This study established a cloud database based on the ancient and modern medical cases to mine the rules of medication with analyses of frequency of drug used, association analysis, cluster analysis, complex network and other methods.Results:Of 340 COVID-19 patients discharged from our hospital, 143 males and 197 females with male: female = 0.73: 1, and there were 167 patients over 60 years old, and the majority of clinical illnesses were mainly middle-aged and elderly people. Most of them had dry cough, anorexia, fatigue, etc. The traditional Chinese medicine for the treatment of COVID-19 involves a total of 204 flavors. The most frequent use is Fuling of 225 times. The treatment of traditional Chinese medicines is mainly involved with flavors such as warm, spicy and sweet. Mainly detoxification, dampness and phlegm, Qingfei Paidu Decoction is a common clinical prescription, of which the core drugs are Huoxiang, Fabanxia, Chenpi, Baizhu, Cangzhu, Fuling, Chaihu, Huangqin, Xingren, and Gancao.Conclusion: Through this study, the patients with COVID-19 in our hospital are mainly middle-aged and elderly people, and the etiology is characterized by "cold, wet, poisonous, and epidemic". Wetness is the most important core of the disease.

A study of medication rules of traditional Chinese medicine in the treatment of pre diabetes based on data mining

Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 14.0.Results:One hundred and forty-six references were included,including 153 prescriptions and 131 drugs.Their frequency of use is listed in the following order.The top 3 categories of drugs were“Tonifying,Heat-Clearing”,diuresis and“Diffusing Dampness”drugs.The top 5 drugs were Huangqi(Astragali radix),Fuling(Poria),Huanglian(Coptidis rhizoma),Shanyao(Dioscoreae rhizoma),Gegen(Puerariae lobatae radix).The top 3 channel tropism of drugs were spleen,stomach and lung.The top 3 nature of drugs were cold,warm and calm.The top 3 flavour of drugs were sweet,bitter and pungent.The cluster analysis of high-frequency drugs showed that it could be classified into 4 categories:“Benefiting Qi”for promoting production of fluid,“Clearing Heat”and“Eliminating Dampness”,“Nourishing Yin”and“Clearing Heat”,and“Invigorating Spleen”for“Diffusing Dampness”.The results of association rule analysis showed that the combination with the highest degree of confidence and support was Poria-Chenpi(Citri reticulatae pericarpium)-Banxia(Pinelliae rhizoma)-Baizhu(Atractylodis macrocephalae rhizoma)and the combination with the highest frequency was Astragali radix-Puerariae lobatae radix.Conclusion:The pre diabetes is due to deficiency.The disease location is spleen and stomach and the pathological factor is phlegm-damp,that is why benefiting qi and invigorating spleen is regarded as the key link of clinical treatment.

Identification of core compositions of traditional Chinese medicine for Seborrheic Dermatitis using data mining techniques

Objective:To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining,in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine.Methods:From January 1,2010 to September 4,2019,articles on Chinese medicine for seborrheic dermatitis were searched systematically in CNKI,VIP and Wan Fang databases.Prescription databases were established through the Chinese Medicine Inheritance assistant system to mine and analyze the rules of data.Results:69 researches were screened out,72 prescriptions for seborrheic dermatitis.13 drugs were used more than or equal to 15 times,and 9 pairs of commonly used drugs with correlation coefficient above 0.045 were selected.Six core combinations and two new prescriptions were obtained.Conclusion:Data mining method was used to analyze the high-frequency drugs and drug pairs,which reflected the treatment principle of clearing heat and removing dampness,nourishing blood and moistening dryness,promoting qi and strengthening spleen in the clinical treatment of seborrheic dermatitis,and provided more intuitive research evidence for the follow-up clinical treatment.

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

A cross-sectional study on traditional Chinese medicine syndromes distribution for chronic atrophic gastritis based on data mining

Background:Chronic atrophic gastritis(CAG)is a common digestive system disease characterized by reduced gastric mucosa inherent glands and often accompanied by intestinal metaplasia and dysplasia.Traditional Chinese medicine believes that syndrome elements dampness and blood stasis are closely related to the occurrence and development of CAG and promote the occurrence of precancerous lesions of gastric cancer.However,there is a lacking of more in-depth and detailed study on the above syndrome elements.This study aimed to made a quantitative description by cross-sectional study on the frequency of key syndrome elements dampness and blood stasis of CAG.Methods:201 CAG patients who met with inclusion criteria were divided into 4 groups including:only dampness group,only blood stasis group,none of dampness and blood stasis group,dampness and blood stasis group according to their four diagnostic information.The severities and levels of patients’clinical symptoms,pathological signs and patient-reported outcome scale used as evaluation indexes were collected.Data mining method of exploratory factor analysis was used for statistics.Results:The results suggested that the frequencies of dampness and blood stasis were reflected in the severity and levels of gastric symptoms,helicobacter pylori infection and the distribution and severity of dysplasia.And blood stasis played a more prominent role in promoting the progression of the CAG to cancer.Conclusion:Our results might provide a quantitative syndrome description for the traditional Chinese medicine differentiation in treating precancerous lesions of gastric cancer and preventing gastric cancer.

Progress in diagnosis and treatment of small cell lung cancer with integrated traditional Chinese and Western medicine

Lung cancer is one of the most common major diseases that seriously threaten human health,lung cancer includes small cell lung cancer(SCLC)and non-small cell lung cancer(NSCLC).Although patients with SCLC account for about 20%of the total number of patients with lung cancer,the mortality rate is much higher than that of patients with NSCLC.Integrated traditional Chinese and Western medicine has obvious advantages in the treatment of patients with SCLC.According to the relevant literature reports on the treatment of SCLC in recent years,this article will summarize the research progress of integrated traditional Chinese and western medicine in the treatmentof SCLC from the aspects of traditional Chinese medicine(TCM)combined with surgery,chemotherapy,radiotherapy,and molecular targeted therapy.

Exploration on Integrative Traditional Chinese and Western Medicine Strategy for Treating Patients of Lung Cancer over 80 Years Old

Lung cancer incidence and mortality are much higher among elderly patients over 80 years'old.However,surgery,chemo and radiotherapy,target therapy all are refined in treating this population.This article summarized 3 types of over 80 years'old elderly cancer patient in real world,which include:1.advanced non-small cell lung cancer that cannot be tolerated by targeted therapy;2.Suspected lung malignancies for which a clear pathological diagnosis cannot be obtained;3.Advanced lung cancer with distance metastasis at first diagnosis.The current paper summarized real cases from YANG Yu-fei at Xiyuan Hospital and her traditional Chinese medicine treatment methods and experiences to guide further clinical practice were discussed and shared.

Progress in research of single-flavor Chinese medicine extracts in treatment of non-small cell lung cancer

Lung cancer is one of the diseases with high morbidity and mortality,and non-small cell lung cancer accounts for a large proportion of it.Traditional Chinese medicine has a long history in treating tumors.More and more researchers have paid more attention to it.At present,many studies have proved that traditional Chinese medicine extracts such as astragalus,turmeric,ginseng,coix seed,and gallbladder can inhibit tumor cell proliferation,and have synergistic effects when used in combination with radiotherapy and chemotherapy Its mechanism of action is mostly related to regulating the cell cycle,inhibiting the expression of cancer-related genes,and inducing apoptosis.It is believed that with the development of purification technology,Chinese medicine extracts will play a greater role.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Analysis of the rule of medication of compound Chinese traditional patent medicine for digestive system tumors based on data mining

Objective:Based on the data mining method,explore the medication rules of Chinese patent medicines for the treatment of digestive system tumors.Method:Based on the"Chinese Traditional Medicine Prescription Database"in https://db.yaozh.com/,collect Chinese patent medicines for the treatment of digestive system tumors,establish an Excel table,and use the ancient and modern medical case cloud platform(V2.2.1)to perform frequency statistics,association rules,and drugs on the data Clustering and complex network analysis.Results:A total of 36 Chinese patent medicines for the treatment of digestive system tumors were screened.The medicinal properties were mainly warm and cold,the taste was bitter and sweet,and the meridians were mainly liver and spleen meridians.High frequency Chinese medicine include Astragalus,Scutellaria-barbata,Ginseng,Curcuma,Triangle,Atractylodes,Hedyotis diffusa,etc.Correlation analysis obtained 17 drug combinations,High-frequency drug pairs include Scutellaria-barbata-Astragalus,Ginseng-Astragalus,Curcuma-Astragalus,Scutellaria-barbata-Curcuma,etc.Cluster analysis found 3 types of drugs.The core drug network is composed of 27 drugs,and the core compatibility network consists of 3 groups of drugs.Conclusion:The Chinese patent compound medicine for the treatment of digestive system tumors has the characteristics of combining cold and warming,replenishing and reducing treatment,and treating the liver and spleen at the same time.The medicine is mainly used to replenish qi and invigorate the spleen,promote blood circulation and remove blood stasis,and clear away heat and detoxification.Replenish qi,nourish yin,invigorate blood,and detoxify are mainly compatible with each other,reflecting the pathogenesis characteristics of"deficiency,stasis,and toxin"in digestive system tumors.Data mining can provide references for the prescription and compatibility of Chinese patent medicines.

Study on Medication Rules of Modern Chinese Herbal Medicine in the Treatment of Non-small Cell Lung Cancer Based on Data Mining

Objective:Based on data mining technology, we attempted to explore the medication rules of modern traditional Chinese medicine (TCM)compounds in non-small cell lung cancer (NSCLC) treatment, to provide a reference for clinical drug use. Methods:From 2010 to 2017, TCM compounds used for NSCLC treatment were collected from the Beijing 301 Hospital. The modern TCM compounds utilized in the treatment of NSCLC were established in the prescription database. Excel, SPSS 22, and SPSS Modeler14.2 software were utilized for the frequency analysis, factor analysis, cluster analysis, and association analysis. Then, the quantitative and qualitative analyses of the regularity of TCM compound medications were performed, and the possible mechanism was discussed. Results:The treatment of NSCLC using Chinese herbal compounds involved 231 prescriptions, 389 types of Chinese herbs, and 135 types of high-frequency Chinese herbs. Of these, Fritillaria cirrhosa, stir-baked fried Scutellariae, raw Os Draconis, Poria cocos (Schw.) Wolf, and Scutellaria barbata were the top five frequently prescribed Chinese herbs. Among the 39 types of drugs, heat-clearing and detoxifying drugs and qi-tonifying drugs were the leading. Cold,warm, flat, slightly cold, sweet, bitter, and pungent of four properties and five tastes and the meridians of lung, spleen, and stomach were most commonly selected. Factor analysis extracted 12 common factors, and the cumulative contribution rate was 65.595%, which mainly contained tonifying qi and blood;tonifying yin, clearing away heat, and eliminating stagnation;tonifying the spleen, regulating qi, and eliminating phlegm.Forty drug groups were obtained by cluster analysis;a total of 63 association rules were obtained by association analysis. The pairs of Poria cocos→dried tangerine peel and fried Atractylodes macrocephala→dried tangerine peel were commonly used in NSCLC, while the three most frequent herb groups were raw Astragalus→fried A. macrocephala and Poria cocos;raw-medicated leaven→fried A. macrocephala and Poria cocos;and dried tangerine peel→fried A. macrocephala and Poria cocos. Conclusion:Lung cancer is mainly caused by qi stagnation,phlegm obstruction, phlegm, and blood stasis. Based on the principle of strengthening the body and dispelling pathogens, clinical treatment of NSCLC involves clearing heat and detoxifying, tonifying the spleen, regulating qi, eliminating phlegm to dispel pathogens, and tonifying qi and blood to strengthen the body.