李昱, 杨涛, 胡孔法. 基于层次社团划分算法的名老中医治疗肺癌的用药规律研究. 2021. biomedRxiv.202110.00020
基于层次社团划分算法的名老中医治疗肺癌的用药规律研究
通讯作者: 杨涛, taoyang1111@126.com
DOI:10.12201/bmr.202110.00020
Research on Medication Rules of Famous TCM Physicians in Treating Lung Cancer Based on Hierarchical Community Partition Algorithm
Corresponding author: Yang Tao, taoyang1111@126.com
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							    摘要:目的 探究名老中医治疗肺癌的用药规律。方法 以795诊次肺癌处方构建中药带权网络,利用层次社团划分算法对网络进行划分,根据药物合并顺序和社团模块度确定划分类别,提取中药组合的层次信息,并进行可视化展示。结果 算法划分出两层中药社团,第一层三个中药社团(C1、C2、C3),第二层划分得到5个中药社团(C1.1、C1.2、C3.1、C3.2、C3.3)。中药社团以化痰祛瘀为主,兼有清热解毒、滋阴润燥、行气止痛、温中健脾等社团。从用药可以推测,肺癌的病机较为复杂,临床以痰瘀互结为主,兼有痰热、气虚、阴虚、气滞、中寒等。结论 借助层次社团划分算法可以有效挖掘名老中医治疗肺癌的用药层次规律,对名老中医诊疗经验的数字化传承具有重要意义。 Abstract: Objective To explore medication rules of famous famous TCM physicians in the treatment of lung cancer. Methods 795 lung cancer prescriptions were used to construct the weighted network of Chinese medicine. The hierarchical community partition algorithm was used to partition the network. The classification was determined according to the order of drug merger and the modularity of the community, and the hierarchical information was extracted and visulized from the network. Results The algorithm detected two-layer Chinese medicine communities. Three TCM communities (C1, C2, C3) in the first laye, and five (C1.1, C1.2, C3.1, C3.2, C3.3) in the second layer. Analyzing the effect of herbs in each community, we find that communities mainly dissolve phlegm and remove blood stasis, and some communities have the effect of clearing heat and detoxification, nourishing yin and moistening dryness, promoting qi and relieving pain, warming the spleen and so on. It can be inferred from the result that the pathogenesis of lung cancer is very complex, mainly due to the combination of phlegm and blood stasis, and also has correlation with phlegm-heat, qi-deficiency, yin-deficiency, qi-stagnation, middle-jiao cold and so on. Clinical treatment should be flexible use of Chinese medicine based on syndrome differentiation. Conclusion With the help of hierarchical community division algorithm, we can mine the medication rules of famous Chinese medicine in the treatment of lung cancer effectively, which is of great significance to the digital inheritance of diagnosis and treatment experience of famous TCM physicians. Key words: hierarchical community division; lung cancer; medication rule; TCM diagnosis and treatment experience提交时间:2021-11-08 版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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								序号 提交日期 编号 操作 1 2021-10-26 10.12201/bmr.202110.00020V1 下载 
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