Research rules of famous veteran traditional Chinese medicine practitioners in treating infertility.
10.19540/j.cnki.cjcmm.20181213.003
- Author:
Xiang-Jun QI
1
;
Zhao-Ping ZHANG
1
;
Hao-Zhan ZHANG
1
;
Jian-Min LI
1
;
Rui-Lan HUANG
1
;
Qi-Lin LI
1
;
Hong-Kai LIN
1
;
Yi-Qian LU
1
;
Guo-Ming CHEN
1
;
Gao-Pi DENG
2
Author Information
1. the First Clinical Medical College of Guangzhou University of Chinese Medicine Guangzhou 510405,China.
2. Department of Gynecology,the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510405,China.
- Publication Type:Journal Article
- Keywords:
data mining;
famous veteran traditional Chinese medicine doctor;
infertility;
medication rules
- MeSH:
China;
Humans;
Infertility;
drug therapy;
Medicine, Chinese Traditional
- From:
China Journal of Chinese Materia Medica
2019;44(7):1491-1496
- CountryChina
- Language:Chinese
-
Abstract:
To explore the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility based on medical cases of infertility collected from book series of Hundred Traditional Chinese Medicine Clinicians of Hundred Years in China and Prescription Proven by Traditional Chinese Medicine Masters. Researchers extracted the information of prescriptions from these cases according to the inclusion and exclusion criteria. Then, Excel 2010, SPSS Clementine(ver.12.0) and SPSS(ver. 22.0) were adopted respectively for frequency analysis, association rules analysis, cluster analysis and factor analysis. Cluster analysis was carried out by Ochiai algorithm of binary variable data, which was a systematic clustering method. And principal component analysis was used for factor analysis. Besides, KMO test and Bartlett spherical test were used for factor adaptation test. Finally, 151 medical cases and 396 prescriptions were included in total. A total of 60 kinds of frequently used herbs were identified according to the results of frequency analysis for medication, they were mainly used for activating blood and resolving stasis, tonifying and clearing heat respectively. The association rules analysis found out 25 drug pair association rules and 14 3-drug combination association rules. A total of 15 medicine groups were extracted by cluster analysis. KMO test and Bartlett spherical test indicated that the method was suitable for factor analysis, and 21 common factors were respectively extracted by factor analysis. Association rules indicated the characteristics of the therapeutic methods, like tonifying Qi and replenishing blood. The famous veteran traditional Chinese medicine practitioners utilized modified Siwu Decoction for tonifying blood and preferred Atractylodis Macrocephalae Rhizoma(Baizhu) for tonifying Qi. The results of both cluster analysis and factor analysis demonstrated the characteristics of the therapies for tonifying kidney, activating blood, tonifying spleen and dispelling dampness. In addition, factor analysis could reflect the therapies for nourishing Yin, tonifying kidney, warming the meridian, dissipating cold, nourishing blood and dispelling blood stasis. These results of analysis comprehensively showed out the medication characteristics of famous veteran traditional Chinese medicine practitioners of strictly following the pathogenesis, making good use of classical formulas and providing proper compatibility. In conclusion, data mining techniques(including frequency analysis, association rules analysis, cluster analysis and factor analysis) were used to comprehensively analyze the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility, which is helpful for guiding the clinical practice of treating infertility with traditional Chinese medicine.
