Research on Ratio of Dosage of Drugs in Traditional Chinese Prescriptions by Data Mining
Maximizing the effectiveness of prescriptions and minimizing adverse effects of drugs is a key component of the health care of patients.In the practice of traditional Chinese medicine(TCM),it is important to provide clinicians a reference for dosing of prescribed drugs.The traditional Cheng-Church biclustering algorithm(CC)is optimized and the data of TCM prescription dose is analyzed by using the optimization algorithm.Based on an analysis of 212 prescriptions related to TCM treatment of kidney diseases,the study generated 87 prescription dose quantum matrices and each sub-matrix represents the referential value of the doses of drugs in different recipes.The optimized CC algorithm can effectively eliminate the interference of zero in the original dose matrix of TCM prescriptions and avoid zero appearing in output sub-matrix.This results in the ability to effectively analyze the reference value of drugs in different prescriptions related to kidney diseases,so as to provide valuable reference for clinicians to use drugs rationally.
Medicine,Chinese Traditional Prescriptions Data Mining
Yu Xing-wen Gong Qing-yue Hu Kong-fa Mao Wen-jing Zhang Wei-ming
College of Information Technology,Nanjing University of Chinese Medicine,Nanjing,Jiangsu,China
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
653-656
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）