| 引用本文: |
仪凡,赵子慧,刘博文,林诗佳,张广中.基于数据挖掘的红皮病型银屑病用药规律探究[J].湖南中医药大学学报,2023,43(2):304-309[点击复制] |
|
| |
|
|
| 本文已被：浏览 1514次 下载 504次 |
| 基于数据挖掘的红皮病型银屑病用药规律探究 |
| 仪凡,赵子慧,刘博文,林诗佳,张广中 |
| (首都医科大学附属北京中医医院, 北京 100010;北京中医药大学, 北京 100020) |
| 摘要: |
| 目的 基于数据挖掘技术探究中医治疗红皮病型银屑病的组方用药特点。方法 筛选中国知网、万方数据库、维普数据库自建库至2022年6月30日收录的中医药治疗红皮病型银屑病的临床研究文献，使用Excel 2020和SPSS Modeler 18.0、SPSS Statistics 25.0等统计软件进行频次分析、关联规则分析、系统聚类分析。结果 共纳入中药复方91个，包含中药104味，药性以寒、平、温为主；药味多属苦、甘、辛；多归肝、肺经。前10位高频中药为生地黄、牡丹皮、赤芍、金银花、连翘、板蓝根、丹参、鸡血藤、甘草、玄参，主要为清热药；关联规则分析揭示常见用药组合为：连翘-牡丹皮-生地黄、生地黄－牡丹皮、牡丹皮-赤芍，生地黄-赤芍等；将高频药物进行聚类分析，发现分3个聚类效果最好。结论 红皮病型银屑病治疗以清热凉血解毒为要，同时注重益气养阴、活血化瘀，用药兼顾病机，缓急并举。 |
| 关键词: 红皮病型银屑病 数据挖掘 用药规律 关联规则 中药 |
| DOI：10.3969/j.issn.1674-070X.2023.02.021 |
| 投稿时间：2022-09-18 |
| 基金项目:国家自然科学基金项目（82274523，81974572）。 |
|
| Medication rules of erythrodermic psoriasis based on data mining |
| YI Fan,ZHAO Zihui,LIU Bowen,LIN Shijia,ZHANG Guangzhong |
| (Beijing Chinese Medicine Hospital of Capital Medical University, Beijing 100010, China;Beijing University of Chinese Medicine, Beijing 100020, China) |
| Abstract: |
| Objective To study the medication characteristics of Chinese medicine in treating erythrodermic psoriasis based on data mining. Methods The clinical research literature on the treatment of erythrodermic psoriasis with Chinese medicine in CNKI, Wanfang Database and VIP Database was selected from their establishment days to June 30, 2022. And Excel 2020, SPSS Modeler 18.0, SPSS Statistics 25.0 were used for frequency analysis, association rule analysis and system cluster analysis. Results A total of 91 Chinese herbal compounds were included, involving 104 herbs. The medicinal properties were mainly cold, neutral and warm, and the medicinal flavors were mostly bitter, sweet and pungent. Medicines mainly access to the liver and lung meridians. The top 10 high-frequency Chinese medicines were Shengdihuang (Radix Rehmanniae), Mudanpi (Cortex Moutan), Chishao (Radix Paeoniae Rubra), Jinyinhua (Flos Lonicerae Japonicae), Lianqiao (Fructus Forsythiae), Banlangen (Radix Isatidis), Danshen (Radix et Rhizoma Salviae Miltiorrhizae), Jixueteng (Caulis Spatholobi), Gancao (Radix et Rhizoma Glycyrrhizae) and Xuanshen (Radix Scrophulariae), and they were mainly heat-clearing medicines. Association rule analysis revealed that the common drug combinations were:Lianqiao (Fructus Forsythiae)-Mudanpi (Cortex Moutan)-Shengdihuang (Radix Rehmanniae), Shengdihuang (Radix Rehmanniae)-Mudanpi (Cortex Moutan), Mudanpi (Cortex Moutan)-Chishao (Radix Paeoniae Rubra), Shengdihuang (Radix Rehmanniae)-Chishao (Radix Paeoniae Rubra), and others. The high-frequency drug cluster analysis found that they can be classified into three clusters for the best effects. Conclusion The treatment of erythrodermic psoriasis should focus on clearing heat, cooling blood and detoxifying. At the same time, replenishing qi and nourishing yin, promoting blood circulation and removing blood stasis should also be taken into account. Moreover, the medication should be based on the pathogenesis with priorities. |
| Key words: erythrodermic psoriasis data mining medication rule association rule Chinese medicine |
|
二维码（扫一下试试看！） |
|
|
|
|
