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基于复杂网络的不同名中医治疗肺癌用药经验共性规律研究
引用本文:申刚磊,胡孔法,杨涛,戴彩艳,谢佳东,叶放.基于复杂网络的不同名中医治疗肺癌用药经验共性规律研究[J].世界科学技术-中医药现代化,2020,22(4):1025-1030.
作者姓名:申刚磊  胡孔法  杨涛  戴彩艳  谢佳东  叶放
作者单位:南京中医药大学 南京 210023,南京中医药大学 南京 210023,南京中医药大学 南京 210023,南京中医药大学 南京 210023,南京中医药大学 南京 210023,南京中医药大学无锡附属医院 无锡 214071
基金项目:1.立项部门:国家自然科学基金;项目类型:面上项目;编号:81674099;名称:面向中医临床大数据的现代名老中医肺癌辨治规律并行挖掘策略及方法学研究;负责人:胡孔法。2.立项部门:国家重点研发计划;项目类型:重点专项;编号:2017YFC1703500;名称:中医药数据中心与云平台共性关键技术研究;负责人:李国正。3.立项部门:国家自然科学基金;项目类型:青年科学基金项目;编号:81804219;名称:基于中医临床大数据的名老中医诊治慢性肾脏病经验挖掘方法的应用研究;负责人:谢佳东。4.立项部门:国家自然科学基金;项目类型:青年科学基金项目;编号:61906100;名称:基于衰减系数的动态蛋白质网络建模及研究;负责人:戴彩艳。5.立项部门:江苏省自然科学基金;项目类型:青年基金项目;编号:BK20180822;名称:新型动态蛋白质网络的构建及分析研究;负责人:戴彩艳。
摘    要:目的 以两位名中医为例,探索不同名中医治疗肺癌用药经验的共性规律,为名中医治疗肺癌的经验总结与传承提供数据支撑。方法 基于复杂网络算法,对两位不同的名中医临床电子病历进行挖掘分析,找出其辨证与用药经验的共性规律。结果 发现了两位名中医对肺癌的辨证分型的共性之处为气阴两虚、痰瘀郁肺、痰瘀互结;针对不同的证型,两位名中医常用中药的共性之处为北沙参、南沙参、麦冬、天门冬、太子参、炙僵蚕、炙鳖甲、半夏、生薏苡仁等。结论 借助复杂网络算法,本研究构建不同名中医的“证-证”和“证-药”复杂网络,通过分析不同复杂网络图谱的相似之处可以挖掘分析不同名中医治疗肺癌用药规律的共性特点,对当代名中医经验总结与传承有重要的临床意义。

关 键 词:数据挖掘  复杂网络  肺癌  名老中医经验传承
收稿时间:2019/9/6 0:00:00
修稿时间:2020/5/9 0:00:00

Study on the Common Law of Different Famous TCM Experiences in Treating Lung Cancer Based on Complex Network
Shen Ganglei,Hu Kongf,Yang Tao,Dai Caiyan,Xie Jiadong and Ye Fang.Study on the Common Law of Different Famous TCM Experiences in Treating Lung Cancer Based on Complex Network[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2020,22(4):1025-1030.
Authors:Shen Ganglei  Hu Kongf  Yang Tao  Dai Caiyan  Xie Jiadong and Ye Fang
Institution:Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China,Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China,Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China,Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China,Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China,Wuxi Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214071, China
Abstract:Objective Taking two famous TCM as examples, to explore the common law of the medication experience of different famous TCM in the treatment of lung cancer, and to provide data support for the summary and inheritance of the experience of famous TCM in the treatment of lung cancer.Methods Based on complex network algorithm, two different clinical electronic medical records of famous Chinese medicine were excavated and analyzed to find out the common law between syndrome differentiation and medication experience.Result The common points of the two famous TCM s syndrome differentiation and typing of lung cancer are deficiency of both qi and yin, stagnation of phlegm and blood stasis, phlegm and blood stasis. According to different syndrome types, the common points of the two TCM s commonly used TCM are Radix Salviae Miltiorrhizae, Radix Salviae Miltiorrhizae, Radix Ophiopogonis, Radix Pseudostellariae Root, Stir-fried Silkworm, fried turtle shell, Pinellia ternata, raw Coix seed, etc.Conclusion With the help of complex network algorithm, the complex network of syndrome-syndrome and syndrome-medicine of different famous TCM can be constructed. By analyzing the similarities of different complex network atlases, the common characteristics of different famous TCM in treating lung cancer can be excavated and analyzed, which is of great clinical significance for the summary and inheritance of the experience of contemporary famous TCM.
Keywords:Data mining  complex network  lung cancer  experience inheritance of famous and old Chinese medicine
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