基于数据挖掘方法的古代医家治疗痴呆用药规律分析

[Analysis on medication rules for treatment of dementia by ancient physicians based on data mining methods].

作者信息

Yi Ya-Qiao, Fang Rui, Ge Jin-Wen, Cheng Shao-Wu, Wang Guo-Zuo, Liu Lin

机构信息

Hunan University of Chinese Medicine, Changsha 410208, China.

School of Medicine, Hangzhou Normal University, Hangzhou 310018, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2018 Aug;43(16):3376-3381. doi: 10.19540/j.cnki.cjcmm.20180419.004.

Abstract

To analyze the medication features and regularity of prescriptions of Chinese medicine in treating patients with dementia based on ancient medical records. In the article, we retrieved the ancient medical records related to the treatment of dementia (from the Han Dynasty to the late Qing period) in Chinese Medical Classics, Chinese Ancient Medical Books and digital library, and then set up a medical records normalized database. The medication features and prescription rules for dementia were analyzed by frequency statistics and association rules (Apriori algorithm, improved mutual information algorithm and complex system entropy clustering). Finally, a total of 156 prescriptions were selected, involving 123 Chinese herbs, with a total frequency of 11 747 for the herbs, and 8 core prescriptions were mined. After the association rules between the frequency and prescriptions for the treatment of dementia were determined, we found that the most commonly used herbs included Fuling (Poria), Yuanzhi (Polygalae Radix), Renshen (Ginseng Radix et Rhizoma), Shichangpu (Acori Tatarinowii Rhizoma), Gancao (Glycyrrhizae Radix et Rhizoma), Danggui (Angelicae Sinensis Radix), Maidong (Ophiopogonis Radix), Baizhu (Bletillae Rhizoma), Dihuang (Rehmanniae Radix) and Ganjiang (Zingiberis Rhizoma); the frequently-used drugs compatibility was mainly for tonifying Qi-blood, regulating Yin and Yang and inducing resuscitation. The drugs were mainly of warm nature and sweet (mild) flavor, and the channel tropism of drugs mainly distributed to the heart, liver, spleen and kidney. The core prescriptions were composed of Renshen (Ginseng Radix et Rhizoma), Fuling (Poria), Yuanzhi (Polygalae Radix), Shichangpu (Acori Tatarinowii Rhizoma), and Baizhu(Bletillae Rhizoma). In conclusion, high frequency herbs and core prescriptions reflect the prescriptions by ancient physicians mainly focus on Qi-replenishing, spleen-invigorating and heart-nourishing, but also reflect the prescription rules of nourishing Yin, enriching blood, eliminating phlegm and warming Yang for the treatment of dementia. The medication features and prescription rules for the treatment of dementia obtained by association rules are useful to guide the clinical practice of Chinese medicine in treatment of dementia.

摘要

基于古代医案分析中医治疗痴呆患者的用药特点及方剂规律。在本文中,我们在中国医学经典、中国古代医籍及数字图书馆中检索了与痴呆治疗相关的古代医案(从汉代至清末),然后建立了医案规范化数据库。通过频次统计和关联规则(Apriori算法、改进的互信息算法和复杂系统熵聚类)分析痴呆的用药特点和方剂规律。最终,共筛选出156首方剂,涉及123味中药,中药总频次为11747次,挖掘出8首核心方剂。确定痴呆治疗频次与方剂之间的关联规则后,我们发现最常用的中药包括茯苓、远志、人参、石菖蒲、甘草、当归、麦冬、白术、地黄和干姜;常用药物配伍主要为气血双补、调理阴阳和开窍醒神。药物主要为温性、味甘(平),药物归经主要分布于心、肝、脾、肾。核心方剂由人参、茯苓、远志、石菖蒲和白术组成。综上所述,高频中药和核心方剂反映了古代医家治疗痴呆的方剂以补气健脾养心为主,也体现了滋阴养血、化痰温阳治疗痴呆的方剂规律。通过关联规则获得的痴呆治疗用药特点和方剂规律,对指导中医临床治疗痴呆具有重要意义。

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