Analysis of 16 618 Prescriptions of Chinese Patent Medicine Containing Aconiti Lateralis Radix Praeparata Based on Three Data Mining Models
10.13422/j.cnki.syfjx.20191654
- VernacularTitle:基于3种数据挖掘模型分析16 618例含附子中成药的处方用药规律
- Author:
Jun-qi CHEN
1
;
Jun-biao WU
1
;
Hua LIN
1
;
Li HU
1
;
Guang-hai DENG
1
;
Xiao-xiao LAI
1
;
Yi-ni LUO
1
Author Information
1. The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China
- Publication Type:Research Article
- Keywords:
data mining;
algorithm;
Chinese patent medicine;
Aconiti Lateralis Radix Praeparata;
syndrome differentiation and treatment;
rational use of drugs;
Xiaoer Feike granules
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2020;26(3):183-189
- CountryChina
- Language:Chinese
-
Abstract:
Objective::Through data mining analysis of Chinese patent medicine prescription containing Aconiti Lateralis Radix Praeparata (CPMCA) in a hospital, the characteristic rules of clinical medication of this kind of Chinese patent medicine were analyzed from the perspective of traditional Chinese medicine (TCM) syndrome differentiation and treatment, and the application prospect of data mining in TCM prescription analysis was explored. Method::CPMCA in the hospital outpatient clinics from November 2017 to October 2018 was conducted. The clinical application of this kind of Chinese patent medicine was retrospectively analyzed from the aspects of basic situation of patients, TCM diseases, TCM syndromes and so on. The clinical application of CPMCA was reviewed and analyzed. Three kinds of data mining algorithms in Microsoft SQL Server Analysis Services 2012 were used to analyze the characteristics of prescription medication. Result::A total of 8 kinds of Chinese patent medicines containing Aconiti Lateralis Radix Praeparata were used in a hospital, and most of them were used by patients under 14 years old, among them, the dosage of Xiaoer Feike granules was the largest. The TCM diseases were mostly cough, cold and asthma, while the TCM syndromes were mostly cold-heat complicated syndrome, wind-phlegm syndrome and external contraction of wind evil. The CPMCA for nourishing and warming kidney-Yang included Jingui Shenqiwan, Longlu capsules, Wangbi capsules and Guifu Dihuang pills. The TCM diseases were mostly arthralgia syndrome, vertigo, and consumptive disease, meanwhile, the syndromes were mainly deficiency of liver and kidney, kidney deficiency and blood stasis, and deficiency of spleen and kidney. Decision tree analysis showed that the CPMCA had the characteristics of age distribution, among which TCM diseases and syndromes were the main decision points. According to the age, sex, diagnosis of Chinese and western medicine, and TCM syndromes of this type of prescription, the CPMCA were divided into 10 categories by cluster analysis. Correlation analysis showed that the combination of Xiaoer Feike granules was the most common, but the correlation was not high. And Jingui Shenqiwan, Qili Qiangxin capsules, Longlu capsules and Wangbi capsules had their own strong associated medication. Conclusion::The application of data mining algorithm in multi-factor analysis of clinical prescription is close to the clinical dialectical treatment thinking of TCM. Combined with the basic statistics, it can be seen that the CPMCA in a hospital is consistent with the characteristics of TCM syndrome differentiation and treatment.
