Suppr超能文献

基于数据挖掘技术的现代中药治疗忧郁症用药规律分析

[Analysis on medication regularity of modern traditional Chinese medicines in treating melancholia based on data mining technology].

作者信息

Zhao Yan-qing, Teng Jing, Yang Hong-jun

出版信息

Zhongguo Zhong Yao Za Zhi. 2015 May;40(10):2042-6.

Abstract

To analyze the prescription and medication regularities of traditional Chinese medicines in the treatment of melancholia in the Chinese journal full text database (CNKI), Wanfang Data knowledge service platform, VIP, Chinese biomedical literature database (CBM) in based on the traditional Chinese medicine inheritance support platform software, in order to provide reference for further mining traditional Chinese medicines for the treatment of melancholia and new drug development. The traditional Chinese medicine inheritance support platform software V2.0 was used to establish the prescription database of traditional Chinese medicines for treating melancholia. The software integrated data mining method was adopted to analyze four Qis, five flavors, meridian distribution, frequency statistics, syndrome distribution, composition regularity and new prescriptions. Totally 358 prescriptions for treating melancholia were analyzed to determine the frequency of prescription drugs, commonly used drug pairs and combinations and develop 22 new prescriptions. According to this study, prescriptions for treating depression collected in modern literature databases mainly have the effects in soothing liver and resolving melancholia, strengthening spleen and eliminating phlegm, activating and replenishing blood, regulating liver qi, tonifying spleen qi, clearing heat and purging heat, soothing the mind, nourishing yin and tonifying kidney, with neutral drug property and sweet or bitter flavor, and follow the melancholia treatment principle of "regulating qi and opening the mind, regulating qi and empathy".

摘要

基于中医传承辅助平台软件,对中国期刊全文数据库(CNKI)、万方数据知识服务平台、维普、中国生物医学文献数据库(CBM)中治疗忧郁症的中药处方及用药规律进行分析,为进一步挖掘治疗忧郁症的中药及新药研发提供参考。采用中医传承辅助平台软件V2.0建立治疗忧郁症的中药处方数据库,运用软件集成数据挖掘方法,对四气、五味、归经分布、频次统计、证候分布、组方规律及新处方进行分析。共分析358首治疗忧郁症的处方,确定了处方药频次、常用药对及组合,并挖掘出22首新处方。根据本研究,现代文献数据库收录的治疗忧郁症处方主要有疏肝解郁、健脾化痰、活血补血、疏肝理气、健脾益气、清热泻火、安神、滋阴补肾等功效,药性平和,味多甘苦,遵循“理气开郁、调畅情志”的忧郁症治疗原则。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验