Yang Ming, Tian Yu, Chen Jia-Lei, Mao Jian-Chun, Song Yu
Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Zhongguo Zhong Yao Za Zhi. 2012 Nov;37(21):3323-8.
To study the feasibility of applying the Bron-Kerbosch (BK) algorithm on the discovery of basic formulas (BFs) of traditional Chinese medicine.
This essay introduces the BK algorithm for the discovery of BFs of traditional Chinese medicine and relevant indicators. On the basis of the compatibility network of drugs, with the confidence coefficient of basic formulas anti the support degree to the decline of alpha level as indicators, the BK algorithm was used for the discovery of BFs of traditional Chinese medicine. And prescriptions of Professor Ma Shaoyao, a traditional Chinese medicine (TCM) dermatologist of Longhua hospital, were taken as examples for analysis.
After the parameters were optimized, three BFs for psoriasis and four BFs for eczema were found using the BK algorithm, which had a relatively high confidence coefficient and basically conformed to the clinical practices.
The BK algorithm can be used for the discovery of basic formulas (BF) of traditional Chinese medicine, and therefore it is one of the effective methods to study and summarize the diagnosis and treatment experiences and prescription thoughts of famous and experienced TCM doctors.
探讨将Bron-Kerbosch(BK)算法应用于发现中医基础方剂的可行性。
本文介绍了用于发现中医基础方剂的BK算法及相关指标。以药物配伍网络为基础,以基础方剂的置信系数和支持度随α水平下降情况为指标,运用BK算法发现中医基础方剂,并以龙华医院中医皮肤科马绍尧教授的处方为例进行分析。
优化参数后,运用BK算法发现了3个治疗银屑病的基础方剂和4个治疗湿疹的基础方剂,其置信系数较高,基本符合临床实际。
BK算法可用于发现中医基础方剂,是研究和总结名老中医诊疗经验及处方思路的有效方法之一。