基于R语言数据挖掘技术对黄平教授治疗耳鸣用药规律及诊疗特色

doi:10.6040/j.issn.1673-3770.0.2023.440

摘要/Abstract

摘要： 目的采用R语言数据挖掘技术分析黄平教授治疗耳鸣的组方用药规律及诊疗特色。方法收集整理2022年1月至2023年9月于黄平教授门诊就诊的耳鸣患者,采集患者临床资料及处方用药信息。应用 Microsoft Office Excel 2022对黄平教授中药处方构建资料数据库,应用R语言对处方用药的性味归经及功效进行描述性分析后,进一步通过Apriori关联规则分析和无监督机器学习中的聚类算法进行常用药对的规律挖掘。结果共筛选出225张处方、173种药物,其中使用频数前10位为川芎、茯苓、柴胡、党参、麸炒白术、炙甘草、姜半夏、炒酸枣仁、六神曲、焦山楂;药物药性偏温、平,药味以甘、辛、苦居多,归经以肝、肺、脾、肾、胃经为主;二阶关联规则共有34个、三阶关联规则共256个、四阶关联规则共379个、五阶关联规则共137个;通过聚类分析得到8个聚类处方组合。结论黄平教授医治耳鸣重视肝脾胃共调,以疏肝理气、健脾化湿、消食和胃为主要治则。

关键词: 耳鸣, R语言, 数据挖掘, 用药规律

Abstract: Objective To analyse the medication characteristics of the prescriptions for tinnitus issued by Professor Huang Ping and the characteristics of Professor Huang Ping's diagnosis and treatment of tinnitus by using R language data mining techniques. Methods The study was conducted on patients with tinnitus who visited Professor Ping Huang's outpatient clinic from January 2022 to September 2023. Clinical data and prescription drug information were collected. Microsoft Office Excel 2022 was used to create a database of Professor Ping Huang's Chinese medicine prescriptions. Descriptive analyses of the nature, flavour, meridian distribution and efficacy of the prescriptions were performed using R. The patterns of commonly used drug pairs were further mined using Apriori association rule analysis and hierarchical cluster analysis. Results A total of 225 prescriptions and 173 kinds of medications were screened. The top 10 most frequently used medication were Rhizoma Ligustici Chuanxiong, Poria, Radix Bupleuri, Radix Codonopsis, stir-frying Rhizoma Atractylodis Macrocephalae with bran, Glycyrrhizae, Rhizome Pinelliae Preparata, Stir-baked Spine Date Seed, Medicated Leaven, and Burnt Hawthorn Fruit. The nature of the medicine prescriptions are warm and mild, and the taste is mostly sweet, pungent, and bitter. The main meridians are liver, lung, spleen, kidney, and stomach meridians. There are 34 second-order association rules, 256 third-order association rules, 379 fourth-order association rules, and 137 fifth-order association rules. Eight clustered prescription combinations were obtained through cluster analysis. Conclusions Professor Huang Ping's treatment of tinnitus emphasises the co-regulation of the liver, spleen and stomach, with the main treatment principle being to excavate the liver and regulating qi, strengthen the spleen and resolve dampness, eliminate food and harmonise the stomach.

Key words: Tinnitus, R language, Data mining, Medication rule

中图分类号:

R764.45

凌雯琛,陈佳旭,徐智辉,郑伟,刘广宇,赵鑫宇,黄平. 基于R语言数据挖掘技术对黄平教授治疗耳鸣用药规律及诊疗特色[J]. 山东大学耳鼻喉眼学报, 2025, 39(5): 8-19.

LING Wenchen, CHEN Jiaxu, XU Zhihui, ZHENG Wei, LIU Guangyu, ZHAO Xinyu, HUANG Ping. Medication rule and diagnosis-treatment characteristics of Huang Ping in treatment of tinnitus: a study based on R language data mining[J]. Journal of Otolaryngology and Ophthalmology of Shandong University, 2025, 39(5): 8-19.

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