Research on medication rules of urticaria treatment based on data mining
10.3760/cma.j.issn.1673-4246.2015.04.016
- VernacularTitle:基于数据挖掘的治疗荨麻疹处方用药规律研究
- Author:
Yanping YANG
;
Jiarui WU
;
Huirong MA
- Publication Type:Journal Article
- Keywords:
Urticaria;
TCM inheritance system;
Association rules;
Clustering algorithm
- From:
International Journal of Traditional Chinese Medicine
2015;(4):349-352
- CountryChina
- Language:Chinese
-
Abstract:
Objective A traditional Chinese medicine (TCM) inheritance assist system software was used to analyze the medication experiences of treating urticaria.Methods Literatures in three TCM medical books about the treatment of urticaria were collected and analyzed in terms of the utilizing frequency and association rules between different medicines. Data mining research methods such as Apriori algorithm, complex system entropy cluster and unsupervised hierarchical cluster were used in the research.Results Based on 138 screened prescriptions, the study confirmed that the frequency of using Radix sileriswas was highest, and 20 drugs elected in 218 prescription drugs were used more than 20 times. According to the utilizing frequency order of pharmaceutical compositions from high to low, association rules between drugs ranked in the top four were‘ Radix sileris- Cicada slough’, ‘Radix sileris- Schizonepeta’, ‘Radix sileris- Paeonia’, and ‘Schizonepeta- Cicadaslough’. Meanwhile, 30 pharmaceutical drug combinations and 14 new prescriptions were found. Conclusion The research, based on TCM inheritance assist system software platform and data mining method on medication rules of urticaria treatment prescriptions, is instructive in the clinical treatment of urticaria and also provide useful reference for the development of the new drug on urticaria.
