Study on composing prescription laws of treating aplastic anemia by Chinese medicine using applying data mining technique

• Published in: Zhongguo Zhong xi yi jie he za zhi Vol. 33; no. 7; p. 906
• Main Authors: Xiang, Yang, Yu, Jing-Wei, Cheng, Yu-Bin, Li, Hai-Xi, Chang, Xiao-Hui, Zhou, Da-Wei, Sun, Feng, Fang, Yong-Guang
• Format: Journal Article
• Language: Chinese
• Published: China 01.07.2013
• Subjects: Anemia, Aplastic - drug therapy; Data Mining; Drugs, Chinese Herbal - administration & dosage; Drugs, Chinese Herbal - therapeutic use; Humans; Medicine, Chinese Traditional - methods; Phytotherapy - methods; Research Design
• ISSN: 1003-5370

To explore composing prescription laws of treating aplastic anemia (AA) by Chinese medicine (CM). The literatures on treating AA by CM were recruited from various medical periodicals at home from 1979 to 2009 including China National Knowledge Infrastructure (CNKI), VIP information network, and Wangfang data knowledge service platform. The database correlated to CM features was established using the technique of computer data bank. The data mining (DM) technique was applied to analyze drugs sorts, frequency of drug application, and association degree. Three hundred and eleven pertinent literatures including 677 prescriptions and 254 Chinese herbs (CHs) were screened. There were 69 CHs for invigorating deficiency, 42 for heat clearing, 20 for promoting blood circulation and removing blood stasis, 16 for arresting bleeding, and 16 for relieving exterior syndrome, which occupied the top 5. The frequency of drug application of 254 CHs amounted to 7 547, in which the frequency of drug application of Mongolian milk