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典型文献
External Association Analysis of Famous Doctors' Dysmenorrhea Medical Cases Based on Data Mining
文献摘要:
Objective: Dysmenorrhea is a common gynecological disease. Some severe symptoms affect the quality of life, causing physical and psychological discomfort. To analyze the dysmenorrhea cases of famous Senior traditional Chinese medicine (TCM) doctors and TCM masters through the data mining technology and explore core related rules between the symptoms, pathogenesis, coated tongue, pulse condition, so as to deeply deconstruct the law of TCM clinical differentiation and treatment of dysmenorrhea, verify the effectiveness of the law, and optimize the clinical TCM diagnosis and treatment scheme. Methods: The external correlation analysis of dysmenorrhea medical cases through the Medcase data processing platform and the algorithm of FP-Growth enhanced association analysis was applied. Results: Altogether 171 medical records were studied, which included 171 female patients and 483 clinical visits. The age of the oldest patient was 49, the age of the youngest was 14, the average age was 28 years old. The medical cases involoved 41 kinds of pathogenesis, 147 clinical symptoms, 16 types of pulse condition, 84 types of coated tongue and 292 traditional Chinese medicine. The external correlation processing revealed that there were 25 groups of clinical symptoms and TCM association rules; 17 groups of clinical symptoms and secondary TCM association rules; 21 groups of pathogenesis and Chinese medicine association rules; 34 rules of coated tongue and Chinese medicine association rules; 19 rules of pulse condition and Chinese medicine association rules; 28 rules of clinical symptoms and pathogenesis associations. Conclusion: When treating dysmenorrhea according to the differentiation and treatment of TCM, the viscera location of the core pathogenesis mainly are kidney, spleen and liver, the pathological factors focus on blood deficiency, blood stasis and qi stagnation. The highly-related TCM include Danggui (Radix Angelicae Sinensis), Baishao (Radix Paeoniae Alba), Chuanxiong (Rhizoma Ligustici), Yanhusuo (Rhizoma Corydalis), Xiangfu (Rhizoma Cyperi). The study of these rules has reference value for the acquisition of the core pathogenesis, the clinical differentiation and the medication.
文献关键词:
作者姓名:
LIU Li-jia;ZHU Yao;LU Ming;YANG Tao;HAN Wei-guo;ZHANG Xiao-yun
作者机构:
Nanjing University of Chinese Medicine,Nanjing,210029,China;Nanjing Medchitech Data Mining Center,Nanjing,210029,China;Nanjing Hanzhang Pharmaceutical Technology Co.,Ltd.,Nanjing,210029,China
引用格式:
[1]LIU Li-jia;ZHU Yao;LU Ming;YANG Tao;HAN Wei-guo;ZHANG Xiao-yun-.External Association Analysis of Famous Doctors' Dysmenorrhea Medical Cases Based on Data Mining)[J].世界中西医结合杂志(英文),2022(01):34-42
A类:
Famous,Dysmenorrhea,deconstruct,involoved,Baishao,Chuanxiong,Ligustici,Yanhusuo,Xiangfu,Cyperi
B类:
External,Association,Analysis,Doctors,Medical,Cases,Based,Data,Mining,Objective,common,gynecological,disease,Some,severe,symptoms,affect,quality,life,causing,physical,psychological,discomfort,To,analyze,dysmenorrhea,cases,famous,Senior,traditional,Chinese,medicine,TCM,doctors,masters,through,data,mining,technology,explore,core,related,rules,between,pathogenesis,coated,tongue,pulse,condition,deeply,law,clinical,differentiation,treatment,verify,effectiveness,optimize,diagnosis,scheme,Methods,external,correlation,analysis,medical,Medcase,processing,platform,algorithm,FP,Growth,enhanced,was,applied,Results,Altogether,records,were,studied,which,included,female,patients,visits,oldest,youngest,average,years,kinds,types,revealed,that,there,groups,secondary,associations,Conclusion,When,treating,according,viscera,location,mainly,are,kidney,spleen,liver,pathological,factors,focus,blood,deficiency,stasis,qi,stagnation,highly,Danggui,Radix,Angelicae,Sinensis,Paeoniae,Alba,Rhizoma,Corydalis,study,these,has,reference,value,acquisition,medication
AB值:
0.483842
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