Identification of core compositions of traditional Chinese medicine for Seborrheic Dermatitis using data mining techniques
Journal Title: Medical Data Mining - Year 2019, Vol 2, Issue 4
Abstract
Objective: To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining, in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine. Methods: From January 1, 2010 to September 4, 2019, articles on Chinese medicine for seborrheic dermatitis were searched systematically in CNKI, VIP and Wan Fang databases. Prescription databases were established through the Chinese Medicine Inheritance assistant system to mine and analyze the rules of data. Results: 69 researches were screened out, 72 prescriptions for seborrheic dermatitis. 13 drugs were used more than or equal to 15 times, and 9 pairs of commonly used drugs with correlation coefficient above 0.045 were selected. Six core combinations and two new prescriptions were obtained. Conclusion: Data mining method was used to analyze the high-frequency drugs and drug pairs, which reflected the treatment principle of clearing heat and removing dampness, nourishing blood and moistening dryness, promoting qi and strengthening spleen in the clinical treatment of seborrheic dermatitis, and provided more intuitive research evidence for the follow-up clinical treatment.
Authors and Affiliations
Meng-Xi Gao1, Ai-Ying Zhang1, Zhi-Dan Cao1, Wei Fan1, Tian-Tian Gai1, Yan Wang2*
Keywords
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