广州中医药大学第一临床医学院
纸质出版:2016
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[1]卢茵茵,庄逸洋,黄楚栓,叶嘉威.林丽珠治疗肺癌用药规律的数据挖掘研究[J].中医杂志,2016,57(18):1557-1559+1564.
LU Yinyin, ZHUANG Yiyang, HUANG Chushuan, et al. Data Mining of Medication Rules of Professor LIN Lizhu in the Treatment of Lung Cancer[J]. Journal of Traditional Chinese Medicine2016, 57(18): 1557-1559.
[1]卢茵茵,庄逸洋,黄楚栓,叶嘉威.林丽珠治疗肺癌用药规律的数据挖掘研究[J].中医杂志,2016,57(18):1557-1559+1564. DOI: 10.13288/j.11-2166/r.2016.18.007.
LU Yinyin, ZHUANG Yiyang, HUANG Chushuan, et al. Data Mining of Medication Rules of Professor LIN Lizhu in the Treatment of Lung Cancer[J]. Journal of Traditional Chinese Medicine2016, 57(18): 1557-1559. DOI: 10.13288/j.11-2166/r.2016.18.007.
目的探讨林丽珠治疗原发性支气管肺癌(简称肺癌)的用药规律。方法选择广州中医药大学第一附属医院2014年3月至2015年8月林丽珠门诊治疗的肺癌病例为研究对象
提取患者处方药物
建立处方数据库
统计药物及药物核心组合使用频次
采用关联规则分析药物之间的关联系数
并基于改进的互信息法、复杂系统熵聚类进行核心药物组合的聚类分析
进而使用无监督的熵层次聚类方法挖掘新处方。结果共纳入病例227例
处方227首
使用药物共计135味。使用频次最高的前3位药物依次为红豆杉(178)、桃仁(172)、半夏(162);使用频次最高的前3位药物组合依次为桃仁-红豆杉(134)、红豆杉-壁虎(128)、僵蚕-红豆杉(128)、桃仁-僵蚕(127)、半夏-红豆杉(127)。置信度≥0.96的关联药物共计25组;关度为8、惩罚度为3
应用复杂系统熵聚类的层次聚类分析演化出3
4
味药核心组合16组
新处方8首。结论林丽珠治疗肺癌以化痰、理气、健脾、祛瘀之品为主
随证加减祛瘀通络与消肿散结药
体现其"益气除痰
祛瘀散结"的学术思想。
Objective To explore the medication rules of Professor Lin Lizhu in treating primary bronchogenic carcinoma of lung( lung cancer for short). Methods Lung cancer cases treated at Prof. Lin’s clinic in the First Affiliated Hospital of Guangzhou University of Chinese Medicine from March of 2014 to August of 2015 were taken as the research subjects. Herbs used in prescriptions were extracted to build a prescription database. Herbs and the using frequency of core herbs combinations were calculated. The relation coefficient between herbs was analyzed with association rules. Based on modified mutual information method and complex system entropy clustering
cluster analysis of core herbs combinations was carried out. Then new prescriptions were mined by unsupervised hierarchical entropy clustering. Results Totally 227 cases were included
with 227 prescriptions and 135 herbs used. Top 3herbs of high using frequency were Hongdoushan [Taxus chinensis
红豆彬]( 178)
Taoren [Semen Persicae
桃仁]( 172) and Banxia [Rhizoma Pinelliae
半夏]( 162). Top 3 herb combinations of high using frequency were TaorenHongdoushan( 134)
Hongdoushan-Bihu [gecko
壁虎]( 128)
Jiangcan [Bombyx Batryticatus
僵蚕]-Hongdoushan( 128)
Taoren-Jiangcan( 127) and Banxia-Hongdoushan( 127). There were 25 pairs of related herbs with confidence level ≥ 0. 96. With association degree of 8 and punishment degree of 3
by hierarchical cluster analysis of complex system entropy clustering
16 groups of core herbs combinations( including 3- 4 herbs) and 8 new prescriptions were developed. Conclusion Professor Lin Lizhu mainly used herbs of resolving phlegm
regulating Qiflowing
invigorating spleen and removing blood stasis in treating lung cancer. Herbs of removing blood stasis
dredging collaterals
detumescence and resolving hard mass were added if necessary. Thus her academic thought that"benefiting Qi
resolving phlegm
removing blood stasis and resolving hard mass"was reflected.
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