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基于中医传承辅助平台软件的治疗咳血方剂的组方规律分析
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| 篇名： | 基于中医传承辅助平台软件的治疗咳血方剂的组方规律分析 |
| TITLE： | |
| 摘要： | 目的：为中医药治疗咳血提供新的思路及参考。方法：筛选、整理《中医方剂大辞典》中收载的治疗咳血的方剂，并录入中医传承辅助平台软件（V2.5）中统计用药频次；采用Apriori算法统计药材组合情况（支持度个数为12）和药材组合关联规则（置信度＞0.7）；采用复杂系统熵聚类法统计2味不同药材间的关联系数（相关系数为8，惩罚系数为2）和3、4味药材核心组合；采用无监督的熵聚类法提取核心组合和新方。结果：共筛选出105首治疗咳血的方剂，包含198味药材，其中用药频次＞6次的有39味药材；得到30个常用药对（包含15味药材）和11个关联规则；演化出3味药材的核心组合48个、4味药材的核心组合5个；提取用于新方聚类的核心组合1、2各6个，得6个治疗咳血的新方。结论：治疗咳血方剂的单味药材功效多为清热凉血、益气养血、化痰止咳。治疗咳血的药对功效总体为清热凉血与滋阴养血/益气养阴。新方组方特点呈多样性，重视凉血止血、益气养阴或清热化痰。 |
| ABSTRACT： | OBJECTIVE： To provide idea and reference for TCM therapy for hemoptysis. METHODS： The prescriptions for hemoptysis included in TCM Prescription Dictionary were screened， summarized and logged in TCM inheritance support platform software （V2.5）. The medication frequency was analyzed statistically. Apriori algorithm was used to analyze combination of medicinal materials （the number of support degree was 12） and its association rules （confidence degree＞0.7） statistically. Correlation coefficient of 2 different medicinal materials （related coefficient of 8， penalty coefficient of 2） and core combination of 3 and 4 ingredients were analyzed statistically by complex system entropy clustering method. Core combination and new prescription were extracted by unsupervised entropy hierarchical clustering method. RESULTS： Totally 105 prescriptions for hemoptysis were screened and included 198 ingredients， among which 39 ingredients were used more than 6 times； there were 30 common couplet medicines （including 15 ingredients） and 11 correlation regularities； 48 core combination of 3 ingredients and 5 core combination of 4 ingredients were obtained. Each 6 core combination 1 and 2 were extracted for new prescription clustering to obtain 6 new prescriptions. CONCLUSIONS： The efficacy of each ingredient of the prescriptions for hemoptysis mainly include clearing heat and cooling blood， nourishing Qi and blood， eliminating phlegm and relieving cough. The efficacy of couplet medicines for hemoptysis mainly include clearing heat and cooling blood combined with nourishing Yin and blood， tonifying Qi and Yin. The composition of new prescription shows diverse characteristics， and pay attention to cooling blood to stop bleeding， nourishing Qi and nourishing Yin， or clearing heat and eliminating phlegm. |
| 期刊： | 2018年第29卷第6期 |
| 作者： | 鲁可，陈腾宇，黄慈辉，王伯清，蓝海 |
| AUTHORS： | LU Ke，CHEN Tengyu，HUANG Cihui，WANG Boqing，LAN Hai |
| 关键字： | 咳血；数据挖掘；方剂；组方规律；熵聚类法 |
| KEYWORDS： | Hemoptysis； Data mining； Prescription； Composition regularity； Entropy clustering method |
| 阅读数： | 370 次 |
| 本月下载数： | 4 次 |
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