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采用频繁集与关联规则挖掘《王仲奇医案》用药规律

张凯 寿志勤 郭亚光 马宗华 郑日新

安徽中医学院学报2013,Vol.32Issue(3):20-24,5.
安徽中医学院学报2013,Vol.32Issue(3):20-24,5.DOI:10.3969/j.issn.1000-2219.2013.03.009

采用频繁集与关联规则挖掘《王仲奇医案》用药规律

Investigation of Medication Rule in Wang Zhongqis Medical Records by Frequent Itemset Mining and Association Rule Learning

张凯 1寿志勤 1郭亚光 1马宗华 2郑日新3

作者信息

  • 1. 合肥工业大学管理学院,安徽,合肥,230009
  • 2. 安徽中医药大学科技处,安徽,合肥,230038
  • 3. 安徽中医药大学第一附属医院,安徽,合肥,230031
  • 折叠

摘要

Abstract

Objective To investigate the medication rule in Wang Zhongqi's Medical Records and conduct association rule analysis and to provide reference for clinical medication. Methods Taking "hemoptysis", "consumptive disease" , and "damp-warm syndrome" as the diseases for research, the information structure of medical records was analyzed to perform data preprocessing of the original text of medical records, so that the database of Wang ZhongqVs Medical Records was established. With the use of Apriori algorithm, the "Xin'an Traditional Chinese Medicine Clinical Guide System" was designed and created, so as to visualize the data mining results and provide the "application of clinical queries" and association rule analysis on medication rule. Results The association rule analysis showed that the common traditional Chinese medicines for treating hemoptysis were loofah sponge, Rubia cordi folia Radicis, Cortex Moutan Radicis , and so on, with loofah sponge and Rubia cordi folia Radicis as the core medicines; the common traditional Chinese medicines for treating consumptive disease were Dendrobium, Concha Ostreae , Radix Glycyrrhizae, and so on, with Dendrobium and Concha Ostreae as the core medicines; the common traditional Chinese medicines for treating damp-warm syndrome were Poria cocos , Herba Eupatorii, Semen Armeniacae Amarum , and so on, with Poria cocas and Herba Eu-patorii as the core medicines. Conclusion Association rule analysis can be used for exploring the medication rule in medical records, and this technical framework can be used for research on other medical works.

关键词

王仲奇医案/数据挖掘/频繁集/Apriori关联规则算法/新安中医临证指导系统

Key words

Wang Zhongqi's Medical Records/ data mining/ frequent itemset/ Apriori algorithm/ Xin'an Traditional Chinese Medicine Clinical Guide System

分类

医药卫生

引用本文复制引用

张凯,寿志勤,郭亚光,马宗华,郑日新..采用频繁集与关联规则挖掘《王仲奇医案》用药规律[J].安徽中医学院学报,2013,32(3):20-24,5.

基金项目

安徽省科技厅社会公益项目(2060302) (2060302)

安徽中医学院学报

OACSTPCD

2095-7246

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