引用本文: |
王子焱,范金茹,陈彤,廖建萍,许福丽,毛小静.基于数据挖掘探讨王行宽教授治疗心系疾病遣方用药规律[J].湖南中医药大学学报,2020,40(12):1521-1526[点击复制] |
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基于数据挖掘探讨王行宽教授治疗心系疾病遣方用药规律 |
王子焱,范金茹,陈彤,廖建萍,许福丽,毛小静 |
(湖南中医药大学第一附属医院, 湖南 长沙 410007) |
摘要: |
目的 基于中医传承辅助平台(V2.5)软件,对王行宽教授临证诊疗心系疾病的用药规律进行数据挖掘。方法 收集王行宽教授治疗心系疾病病案,录入中医传承辅助平台,使用软件集成的四气五味统计、用药频次统计、规则分析、改进互信息法、复杂系统熵聚类及无监督的熵层次聚类等数据挖掘方法对王行宽教授治疗心系疾病的处方进行分析。结果 对筛选出的228个处方进行分析,发现药性以温、寒为主,药味以甘、苦为主,归经多归属肝经、心经、脾经;药物使用频次较高的药物有麦冬、柴胡、丹参、五味子等药物,根据药物关联规则演化得到核心组合41个,新处方4个。结论 王行宽教授治疗心系疾病用药多以“补益气营为本”“善抓病机,病证同辨”“从肝治心,强调疏肝”“善用药对,用药平和”为用药特色,与其诊治心系疾病多从“心气营不足”“气虚痰瘀互结”“肝心失调”为病机入手相符合。 |
关键词: 心系病证 用药规律 数据挖掘 中医传承辅助平台 王行宽 |
DOI:10.3969/j.issn.1674-070X.2020.12.016 |
投稿时间:2020-09-13 |
基金项目:国家中医药管理局“王行宽全国名中医传承工作室”建设项目(国中医药办人教函〔2018〕119号);湖南省中医药科研计划重点项目(201716)。 |
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Medication Rules of Professor WANG Xingkuan in Treating Heart Diseases Based on Data Mining |
WANG Ziyan,FAN Jinru,CHEN Tong,LIAO Jianping,XU Fuli,MAO Xiaojing |
(The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan 410007, China) |
Abstract: |
Objective To perform data mining of Professor WANG Xingkuan's medication rules of treating heart diseases in clinical practice based on TCM inheritance assistant platform (V2.5). Methods The medical records of Professor WANG Xingkuan in the treatment of heart diseases were collected and input into the TCM inheritance assistant platform. The data mining methods of software-integrated statistics of the four Qi and five flavors, statistics of medication frequency, rule analysis, improved mutual information method, complex system entropy clustering and unsupervised entropy hierarchical clustering, etc. were applied to analyze Professor WANG Xingkuan's prescriptions for treating heart diseases. Results After analysis of screened 228 prescriptions, it was found that the natures were mainly warm and cold. The flavors were mainly sweet and bitter, and the channels tropism was mainly liver, heart and spleen; The high-frequency herbs were Radix Ophiopogonis, Radix Bupleuri, Radix Salviae Miltiorrhizae, Fructus Schisandrae Chinensis and other herbs. According to the evolution of herb association rules, 41 core combinations and 4 new prescriptions were obtained. Conclusion Professor WANG Xingkuan's medication in the treatment of heart diseases is mainly "tonifying and benefiting nutrient Qi as the root", "good at grasping the pathogenesis of disease and differentiation of both disease and syndrome", "treating the heart from the liver, emphasizing soothing the liver" and "good at herb pair and using neutral herbs", which is consistent with the pathogenesis of "deficiency of heart Qi and nutrient Qi", "mutual combination of Qi deficiency, phlegm and blood stasis" and "liver heart imbalance" as a cutting point in the treatment of heart diseases. |
Key words: heart diseases medication rules data mining TCM inheritance assistant platform WANG Xingkuan |
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