Data Mining Analysis Of Professor Hu Guojun’s Treatment Of Chronic Gastritis

Objective:By collecting and sorting out the medical records of chronic gastritis patients who were treated by Professor Hu Guojun of the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine,than analyzing the results with data mining technology.Finally summarizing and inheriting Professor Hu Guojun’s experience in treating chronic gastritis,providing therapeutic methods and ideas for clinical treatment of chronic gastritis.Methods:Collecting the medical records of chronic gastritis patients who were treated by Professor Hu Guojun of the First Affiliated Hospital of Anhui Anhui University of Traditional Chinese Medicine from January 1,2021 to October 31,2022,and establishing a database to analyze the general situation(gender,age),medication(drug nature,taste,meridian tropism,classification)of 105 cases of chronic gastritis.SPSS Statistics 26.0 software and SPSS Modeler 18.0 software were used for analysing association rule,complex network and system cluster of high-frequency traditional Chinese medicine(frequency ≥ 40).Result:1.General data analysis: 105 patients with chronic gastritis who were diagnosed and treated by Professor Hu Guojun from January 1,2021 to October 31,2022 were collected in this study,with a total of 274 visits,including 48 males and 57 females,with the majority of patients aged 50-59.2.Frequency analysis:(1)274 visits and 274 prescriptions of traditional Chinese medicine and 260 different traditional Chinese medicines were included in this study,the frequency of all traditional Chinese medicines is 4648.The top ten were Rhizoma Coptidis,Radix Bupleuri,Radix Astragali,Pinellia ternata,Taraxacum mongolicum,aloe koji,dried ginger,fructus aurantii,oyster,and paeonia lactiflora.(2)The statistical results of efficacy categories showed that the use frequency of tonifying traditional Chinese medicines is the highest,followed by expectorant traditional Chinese medicines,antitussive and antiasthmatic traditional Chinese medicines,antipyretic traditional Chinese medicines,antipyretic traditional Chinese medicines,qi regulating traditional Chinese medicines,warming traditional Chinese medicines,antipyretic traditional Chinese medicines,and blood-activating traditional Chinese medicines.(3)The statistical results of the Four Qi and Five flavors showed that warm drugs,cold drugs and mild drugs are used more frequently,the most commonly used traditional Chinese medicine is sweet traditional Chinese medicine,bitter traditional Chinese medicine and bitter traditional Chinese medicine.(4)The results of meridian analysis showed that the frequency of spleen,stomach,liver and lung meridian in the traditional Chinese medicine used was higher;(5)The statistical results of symptoms and syndrome types showed that epigastric discomfort,abdominal distention,epigastric pain,insomnia and bitter mouth were the main symptoms,and there were more syndrome of liver and stomach qi stagnation,intermingled heat and cold and spleen and stomach qi deficiency.3.Association rule analysis and complex network analysis: SPSS Modeler 18.0software uses the Apriori algorithm in association rules to set the number of first items as 1,2,3,and 4 in order with the confidence>80%,support>10%,and promotion>1 as the standard,and constructs association rules to analyze the association rules and complex network analysis of high-frequency drugs(frequency ≥ 40).Combined with clinical practice,common drug combination: frankincense and myrrh,Peony and licorice,coptis chinensisand evodia rutaecarpa,pinellia and tangerine peel,atractylodes macrocephala and codonopsis pilosula,jian shen qu and malt,pinellia and bamboo ru,fructus aurantii and trichosanthes;Basic core flavor: radix astragali,atractylodes macrocephala,coptis chinensis,pinellia ternata,bupleurum chinense,dried ginger,dandelion,orange peel,and corrugated fruit.4.Systematic cluster analysis: In the SPSS Statistics 26.0 data mining software,the system cluster analysis is carried out for high-frequency traditional Chinese medicine(frequency ≥ 40,total 38 flavors).The clustering starts from the third category and ends at the tenth category,which is fully combined with the clinical application,and finally clustered into six categories:(1)white peony,licorice,frankincense,myrrh;(2)Scutellaria baicalensis and Nansha ginseng;(3)Pseudostellaria heterophylla,agaric,lily,Eclipta amarantha,white ginger;(4)Coptis chinensis,Evodia rutaecarpa,Zhuru,Pinellia ternata,Bupleurum chinense,Fructus aurantii,Trichosanthes kirilowii,cuttlebone,corrugated fruit,dandelion;(5)Turtle shell,saponin thorn,orange peel;(6)Astragalus,Chinese yam,Codonopsis pilosula,Atractylodes macrocephala,Poria cocos,dried ginger,cassia twig,Rhizoma Drynariae,keel,oyster,patchouli,atractylodes,coix seed,and Jianshenqu.Conclusion:1.Etiology and pathogenesis: The pathogenesis of chronic gastritis is complex,which is related to external feelings,diet,emotion and other factors.The spleen and stomach are weak,and the Qi is not smooth throughout.2.Treatment principles and methods: Take care of the central state,dredge and regulate the qi as the treatment principles,and tonifying spleen and stomach,smoothing the flow of qi of the liver and lung,dispelling heat of the liver and stomach,and removing food retention in stomach and stuffiness in chest and abdomen as the common treatment methods.3.Prescription medication: Professor Hu Guojun is used for clinical treatment of chronic gastritis,preferring to use sweet taste to tonifying spleen and stomach,use both cold and warm to balance Zhongzhou,open the bitterness and lower the bitterness,and harmonize the Yin and Yang,dredge and regulate the liver and lungs,and smooth the flow of qi.4.Basic core taste: radix astragali,atractylodes macrocephala,coptis chinensis,pinellia ternata,bupleurum chinense,dried ginger,dandelion,orange peel,and corrugated fruit,which can be added or subtracted according to the symptoms to treat various types of chronic gastritis.