Based On The Data Mining Technology, This Paper Discusses The Medication Rule Of Professor Yang Jinxiang In The Treatment Of Atrophic Gastritis

Chronic atrophic gastritis(CAG)is atrophy of the gastric mucosa epithelium and glands,reducing the number of glands,thinning the gastric mucosa,thickening the basement of the mucosa,or accompanied by pyloric and intestinal metaplasia,Chronic digestive diseases characterized by atypical hyperplasia,often manifested as upper abdominal pain,fullness,belching,loss of appetite or weight loss,anemia,etc.Atrophic gastritis belongs to the category of modern medicine.According to its main symptoms,motherland medicine is mostly manifested as abdominal pain,discomfort,and invisibility.It is mostly attributed to "stomach pain","stomach","noisy",and "fullness" category.Western medicine treatment currently lacks specific drugs.Although short-term effects can be obtained,it often lacks obvious reversibility,and it is easy to repeat and has many side effects.Traditional Chinese medicine has achieved good curative effects in the treatment of syndrome differentiation and treatment,which can not only improve the clinical symptoms of patients,delay the progress of the disease,but also effectively prevent or even reverse some pathological changes.Professor Yang Jinxiang is the academic successor of Academician Dong Jianhua and a doctoral supervisor.He has been engaged in CAG clinical medicine,scientific research and teaching for nearly 40 years.He has used pure Chinese medicine to treat CAG and achieved good results.The follow-up pathological reversal is obvious.He has formed a unique academic thought in clinical practice for many years,which is worth exploring and research,in order to achieve the effective inheritance of its clinical experience and main academic thought.Objective:By collecting the name,gender,age,gastroscopy,pathological examination report and first prescription of CAG patients diagnosed by Professor Yang Jinxiang in the outpatient process,the three data mining techniques of frequency analysis,association rule analysis and cluster analysis were used to explore the treatment of Professor Yang Jinxiang CAG’s medication compatibility rules,so as to summarize its clinical experience and academic thoughts in the treatment of this disease,to achieve effective inheritance of its experience and main academic thoughts.Methods:The collected cases originated from Professor Yang Jinxiang who was diagnosed with CAG in the outpatient clinic of the Third Affiliated Hospital of Beijing University of Chinese Medicine and Dongzhimen Hospital of Beijing University of Chinese Medicine between January 2019 and December 2019,a total of 262 patients.Collect the patient’s name,gender,age,gastroscopy,pathological examination report and the first prescription of Chinese medicine,and then enter the data into Microsoft office Excel 2016 software,establish a database,use IBM SPSS Statistics 25 and IBM SPSS Modeler 18 to frequency the entered data Analysis,association rule analysis,and cluster analysis.At the same time,35 flavors of Chinese medicines with a frequency of≥1%were used in accordance with the Chinese medicine classification method of "Traditional Chinese Medicine" and"Pharmacopoeia of the People’s Republic of China".2015 edition)The efficacy of traditional Chinese medicines and the main uses taught by Professor Yang Jinxiang in the outpatient process were classified manually,and the frequency of drug types was counted.Results:1.General information:Of the 262 CAG patients,154 were female,accounting for 58.78%;108 were male,accounting for 41.22%.The age of all patients was distributed between 29 and 75 years,with an average age of 58.75±10.3 1 years.In the endoscopic classification of gastric mucosal injury,63 cases were mild CAG,97 were moderate CAG,and 102 were severe CAG.The proportion of patients in each grade was 24.05%,37.02%,and 38.93%respectively;There were 78 cases with Hp infection and 184 cases without Hp infection,accounting for 29.77%and 70.23%respectively.2.Analysis of the four flavors and five flavors of drugs:The results of the four flavors analysis show that the warm and cold medicines are used more frequently,2055 and 1985 in sequence;the five flavors analysis results show that the bitter,spicy and sweet medicines are used more frequently.In turn,they were 3286,2672,and 1777.The analysis of meridian analysis showed that the frequency of liver,spleen,and stomach meridian in the drugs used was higher,which were 2961,2682,and 2629.3.Frequency analysis:There are 205 drugs in the 262 prescriptions.IBM SPSS Statistics 25 is used to count the frequency and frequency of all drugs.The results show that the total frequency of drug use is 5196 times,and the most frequently used drug is Xu Changqing.195 times,the frequency of use was 3.753%,followed by Artemisia annua,181 times;the frequency of 3.483%;the top 35 drugs were used more than 1%,and the cumulative frequency was 60.681%.Thirty-five traditional Chinese medicines with a frequency of ≥1%were used as high-frequency medicines for standardized classification and frequency analysis.The results were ranked from highest to lowest frequency,and can be divided into qi-regulating medicine,heat-clearing medicine,tonic medicine,and diuretic soaking.Medicine,blood circulation and blood stasis medicine,phlegm,cough and antiasthmatic medicine,rheumatism medicine,moisturizing medicine,hemostatic medicine,fasting medicine,liver-relieving wind medicine,astringent medicine,anthelmintic medicine,Wenli medicine,antipyretics Five categories.4.Association rule analysis:The IBM SPSS Modeler 18 is used to analyze the prescription rules based on the Prior algorithm.In this study,the minimum support is 10%,the minimum confidence is 80%,and the maximum antecedent is 10.Analysis of second-,third-,and fourth-order association rules.Among the drug pairs,carotids,and drug groups obtained by the analysis of association rules,the top six are "Xu Changqing,Predictor","Artemisia annua,Yin Chen","Buddhism,Citron," "Xu Changqing,Predictor,Qing "Artemisia annua","Artemisia annua,Poria cocos,predictive child","Xu Changqing,predictive child,Poria cocos,Artemisia annua";the core prescriptions obtained from the analysis of association rules are:predictive child,Poria cocos,Artemisia annua,Yin Chen,Xu Changqing.5.Cluster analysis:Use IBM SPSS Statistics 25 to perform cluster analysis on drugs with frequency of>40 occurrences,and cluster them into 5-10 categories.From the cluster tree diagram and cluster analysis result table,it can be seen that when the drugs are clustered into 6 categories,various drugs are basically stable.It is reasonable to consider clustering into 6 categories based on clinical expertise.Results:(1)Xu Changqing,Liu Slavery,Shi Jianchuan,Fujinori,Pinellia ternate(2)Artemisia annua,Yinchen,corrugated seeds,spiral flowers,vermiculite,Coptis chinensis,Fritillaria cirrhosa,Fructus corni(3)Fortune sage,Poria cocos,Yanhusuo,Puhuang,Panax notoginseng,June snow,Salvia miltiorrhiza,Chuanxiongzi(4)Amaranth,Reed Root,Bellflower,Gardenia,Lotus Seed,Windbreak(5)Baizhu,Kung Fu leaves,Astragalus membranaceus,Agrimony,Magnolia officinalis(6)Abdominal bark,Citron,Bergamot,Fructus Aurantii,Cardamom,Turmeric,Perilla stalk,Laizizi,Areca,Atractylodes,Burdock,and Chicken Gold.Conclusions:Professor Yang Jinxiang treats CAG mainly with warm and cold medicines,with bitter,acrid,and sweet medicines as the most common medicines.Most of the medicines are attributed to the three meridians of the liver,spleen,and stomach.During treatment,the liver qi,spleen,and Stomach and "ping" are mainly used to treat focal burns and Huayu Sanjie.At the same time,attention is paid to the combination of discriminate and differentiation of signs.