Analysis of Medication Patterns for Ancient Epidemic Treatment Based on Data Mining
10.13422/j.cnki.syfjx.20250467
- VernacularTitle:基于数据挖掘的古代疫病治疗用药规律分析
- Author:
Peipei JIN
1
;
Tongxing WANG
2
;
Liping CHANG
3
;
Bin HOU
2
;
Ningxin HAN
3
;
Xiaoqi WANG
2
;
Zhenhua JIA
1
Author Information
1. Graduate School，Hebei University of Chinese Medicine，Shijiazhuang 050091，China
2. State Key Laboratory for Innovation and Transformation of Luobing Theory， Shijiazhuang Yiling Pharmaceutical Co. Ltd.，Shijiazhuang 050035，China
3. Hebei Yiling Hospital，Shijiazhuang 050091，China
- Publication Type:Journal Article
- Keywords:
pestilence;
data mining;
frequency deconstruction;
hierarchical clustering;
correlation analysis;
association rule;
medication rule
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2025;31(11):287-294
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.
