Research on the component law of Chinese medicine for knee osteoarthritis and the development of new recipes through unsupervised data mining methods

摘要

Objective: To analyze the component law of Chinese medicines for knee osteoarthritis, and develop new prescriptions for knee osteoarthritis through unsupervised data mining methods. Methods: Chinese medicine recipes for knee osteoarthritis were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified mutual information, complex system entropy cluster and unsupervised hierarchical clustering, respectively. Results: Based on the analysis of 64 Chinese medicine recipes for knee osteoarthritis, 23 drugs with high-frequency occurrence in these recipes, 24 frequently-used herb pairs and 8 core combinations were founded, and 3 new recipes for knee osteoarthritis were developed. Conclusion: Chinese medicines for knee osteoarthritis were mainly consist of blood-activating and stasis-resolving medicinal, blood-activating and qi-moving medicinal, kidney-enriching and liver-nourishing medicinal. The treatment principle for knee osteoarthritis is to eliminate the pathogenic factors and reinforce the healthy qi. Radix Saposhnikoviae, Radix Salviae Miltiorrhizae, Fructus Chaenomelis, Caulis Spatholobi, Poria, Herba Asari, Radix Angelicae Pubescentis, Corthex Eucommiae, Radix Angelicae Sinensis, Radix Paeoniae Alba, Radix Gentianae Macrophyllae, Radix Glycyrrhiz ae, Radix Achyranthis Bidentatae, Radix Clematidis, Radix Rehmanniae Preparata, Herba Taxilli, Radix Astragall, Rhizoma Chuanxiong, Radix Dipsaci and Rhizoma Drynariae are the main herbal drugs used in the treatment on knee osteoarthritis.