关键词: 《圣济总录》, 腰痛, Python, 数据分析, 用药规律

Abstract: Objective Python language was used to analyze the rules of traditional Chinese medicine in the chapter of low back pain in Shengji Zonglu,and to extract the treatment methods and medication characteristics of low back pain to guide the clinical treatment of low back pain．Methods The language extraction in Python language was used to identify all the Chinese medicine prescriptions in the chapter of low back pain in Shengji Zonglu,extract the composition of the prescription,and analyze the rules of Chinese medicine in the prescription to visually present the results．Results A total of 62 prescriptions were included,including 86 drugs．Among them,with there were 20 kinds of drugs,the frequency of use ≥7 times,the frequency ≥1.6%,and cmnamomi Mmulus highest frequency．Four gas used in traditional Chinese medicine is given priority to with warm,accounted for 56.74%．The five flavors were mainly pungent,sweet and bitter,accounting for about 90%,and the liver and kidney meridians were the main meridians．The drug efficacy was mainly deficiency tonic,accounting for 27.13%．The association rule analysis showed that the combination with the highest improvement was Ephedrae Herba- Angelicae Pubescentis Radix,the combination with the highest confidence was Morindae Officinalis Radix- Achyranthis Bidentatae Radix,Pharbitidis Semen- Achyranthis Bidentatae Radix．and the combination with the highest support was Chuanxiong Rhizoma- Angelicae Sinensis Radix,Chuanxiong Rhizoma- Eucommiae Cortex．Three clustering result is obtained by cluster analysis．Conclusions In the treatment of low back pain,Shengji Zonglu is good at using both blocking methods and reinforcing methods,emphasizing circulating blood and unblocking meridians supplementing liver and kidney,especially in the treatment of low back pain syndrome caused by liver and kidney deficiency or wind and cold．

Key words: Shengji Zonglu, low back pain, Python, data analysis, medication rule