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基于数据挖掘方法总结王树声教授治疗上尿路结石的用药经验
翁湘涛,王树声,古炽明,李思逸,甘澍
广东省中医院泌尿外科广州 510080
摘要:
目的:运用中医传承辅助平台系统(V2.5)深入分析王树声教授治疗上尿路结石的用药经验,挖掘其核心经验 方组成和辨证用药规律。方法:收集王教授门诊治疗上尿路结石的治疗验方304 首,将方药信息录入系统,采用药物频次统计、 关联规则分析和熵聚类分析等方法分析处方用药规律。结果:304 首处方中涉及中药97 味,用药频次超过100 次的有14 味。所用药物药性多寒、温、平,药味多甘、苦,主归肝、肾、脾经;共得出25 组核心组合和9 首新处方。结论:王教授治疗 上尿路结石以益气固本、清热通淋为主,用药的关键在于“扶正固本”的把握和“祛邪通淋”的权衡,为临证用药和新方 开发提供参考。
关键词:  中医传承辅助平台  中医药  王树声教授  上尿路结石  用药经验
DOI:10.3969/j.issn.1007-6948.2020.05.037
投稿时间:2019-11-30
基金项目:
The Study of Professor Wang Shu-sheng' s Experience in the Treatment of Upper Urinary Calculi Based on Data Mining
WENG Xiang-tao,WANG Shu-sheng,GU Chi-ming
Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510080, China
Abstract:
Objective The TCMIPS v2.5 software was used to construct Professor Wang Shu-sheng’s clinical database for the treatment of upper urinary calculi and excavate his core experience prescription composition as well as dialectical medication law. Methods The 304 prescriptions from Professor Wang in treating upper urinary calculi were collected and recorded into TCM inheritance system. Medication laws and combination regularities were explored and analyzed with the application of data mining methods such as drug frequency analysis, association rule analysis and entropy clustering analysis. Results Total 304 prescriptions were collected in the treatment of upper urinary calculus and 97 herbs were used. The analysis showed that 14 herbs appeared for more than 15 times. Most of the herbs were sweet and bitter in flavor and cold, warm and smooth in nature,mainly related to liver,kidney and spleen meridians.25 key herbal combinations and 9 new
Key words:  TCM Inheritance System  Traditional Chinese Medicine  professor Wang Shu-sheng  upper urinary calculi  medication experience

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