Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

Mining the rules of acupoint selection and manipulation scheme of massage in reducing or substituting drug treatment of simple obesity based on association rules and entropy cluster analysis

Based on the data mining of clinical literature,we analyzed the characteristics of Acupoint Selection and manipulation in the clinical treatment of“simple obesity”,in order to optimize the compatibility of clinical acupoints,simplify the manipulation,and summarize the core prescription of Massage in the treatment of simple obesity.Methods:First we search and screen the clinical literature of Chinese Massage therapy for“simple obesity”by scholars at home and abroad.Then we analyze the Acupoint Selection and manipulation rules of Chinese Massage therapy for“simple obesity”by using data mining technology and traditional Chinese Medicine Inheritance assistant system.Finally we obtain the optimal new prescription based on complex system entropy clustering and unsupervised entropy hierarchical clustering analysis.Results:Fifty-seven prescriptions meeting the inclusion criteria were selected,including TIANSHU(ST25)(36),ZHONGWAN(RN12)(32),GUANYUAN(RN4)(30),ZUSANLI(ST36)(27),QIHAI(RN6)(23),“Stomach Meridians”(10),“Spleen Meridians”(8),Renmai(7),Abdomen(36),Umbilicus(8),Pressing(33),Holding(27),Pressing(26),and get 4 core Prescriptions like ST25-RN12-Renmai-Stomach Meridians-Abdominal Rub-Rubbing-Pushing thumb-Rubbing-Palm Pushing-Thumb Point Acupuncture-Palm Vibration and 4 new prescription of Massage manipulation for the treatment of simple obesity.Conclusion:The results of clinical diagnosis and treatment data are mined and analyzed by traditional Chinese medicine inheritance assistant system.The acupoint compatibility,manipulation rules and core prescriptions obtained can provide statistical basis and references for clinical Massage manipulation in the treatment of simple obesity.