Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect
- 13 Downloads
Traditional Chinese medicine (TCM) prescription comprises groups of Chinese herbs that embody thousands of years of history with respect to the treatment of diabetes mellitus (DM), a condition for which there are numerous prescriptions with different therapeutic effects. Existing studies on prescription patterns are based on the frequencies calculated using the traditional association rule algorithm. However, the most important concern for physicians is the efficacy of drug combinations in clinical practice, as no existing study has considered the efficacy of prescriptions. In this study, a weighted association rule algorithm called MWFPP (Mining Weighted Frequent Patterns of Prescription) was used to mine and analyze TCM prescriptions for the treatment of DM based on the therapeutic effect. As a result, the ranking of drug combinations with a low frequency but the good therapeutic effect in the randomized controlled trials (RCT) increased. These drug combinations were also effective in the treatment of DM according to TCM theory. Hence, effective drug combinations could be promising for prescription compatibility in clinical practice and drug discovery.
KeywordsDiabetes mellitus Therapeutic effect Traditional Chinese medicine Weighted association rule
This research was supported in part by the National Key R&D Program of China under grant 2017YFC1703905, the Sichuan Science and Technology Program under grants 2018SZ0065 and 2018TJPT0039, and the National Natural Science Foundation of China (NSFC) under grant 81803851.
- 9.Chung VC, Ma PH, Wang HH et al (2013) Integrating traditional Chinese medicine services in community health centers: insights into utilization patterns in the Pearl River region of China. Evid Based Complement Alternat Med 426360:8Google Scholar
- 14.Han J, Pei J, Yin Y (2000) Mining frequent patterns without candidate generation. ACM SIGMOD Rec 1–12Google Scholar
- 16.Lee G, Yun U, Ryu KH (2017) Mining frequent weighted itemsets without storing transaction ids and generating candidates. Int J Uncertain Fuzziness Knowl-Based Syst 25(01):111–144Google Scholar
- 17.Li G (2015) Clinical efficacy of integrated traditional Chinese and Western medicine in treating hypertension complicated with diabetes mellitus. Chin J of Clinical Rational Drug Use 8(9):140–141Google Scholar
- 18.Li C (2017) Clinical effect of Chinese herbal medicine xiaoke no. 1 in treating type 2 diabetes mellitus. Chin J of Clinical Rational Drug Use 10(5):7–8Google Scholar
- 23.Shen XX, Li YJ (2017) Clinical efficacy of Huanglian Jiangtang decoction on the treatment of type 2 diabetes mellitus and its effect on blood vascular VEGF. World Chinese Medicine 12(10):2318–2321Google Scholar
- 25.Wu J, Wang K, Ji K et al (2015) Medication rules for treating diabetes based on data mining. Chinese Journal of Experimental Traditional Medical Formulae 21(22):214–217Google Scholar
- 26.Xiao X, Li H, Liu D et al (2015) The clinical effect observation of Yiqi Yangyin Huoxue method in treating type 2 diabetes. World Chinese Medicine 10(3):362–366Google Scholar
- 27.Yu Y (2016) Explore the curative effect and clinical guiding significance of combine traditional Chinese and Western medicine in treatment diabetes. China Health Standard Management 7(23):139–141Google Scholar
- 28.Yuan Y (2017) On the treating patterns of diabetes in traditional Chinese medicine dictionary. Chinese Journal of Ethnomedicine & Ethnopharmacy 26(10):1–3Google Scholar
- 31.Zhu X, Liu Y (2017) Formulae mining for diabetic nephropathy with treatment effect in traditional Chinese medicine. Paper presented at the Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2017 14th International Computer Conference on, ChengDu, 15-17 DecGoogle Scholar