Model of treatment of chronic tumour diphtheria based on data exhumation of technical analyses

Objective: Using data mining technology to explore the medication law of chronic cholecystitis. Methods: We searched the literature of all acupuncture prescriptions for treating menstrual headache since the establishment of the Chinese Journal Full-text Database (CNKI), Wanfang Data Resource System Library (WF), Chinese Biomedical Literature Database (CBM), and Wipo Journal Full-text Database (VIP) databases, extracted the valid prescriptions according to the exclusion criteria, import Microsoft Office Excel 2021 to establish the database of traditional Chinese medicine in the treatment of chronic cholecystitis and used Excel 2021, IBM SPSS Modeler18.0, and IBM SPSS Statistics 27.0 to analyze the database of menstrual acupoint frequency analysis, acupoint attribution analysis, association rule analysis, and cluster analysis. Results: There was a total of 501 prescriptions, designed for 193 flavours of Chinese medicine, with a total application frequency of 5292 times, and the highest frequency of single flavour use was for Radix Bupleuri, Licorice, and Radix Paeoniae Alba, which were mainly used with cold, warm, bitter, and pungent medicines, and there was a total of 10 groups of core pairs of medicines, with 3 classes obtained through clustering.