期刊论文

Research on Traditional Chinese Medicine Prescription Data Based on Apriori Algorithm for Association Rules Mining

中文

信息与电脑

1003-9767

2020

32

16

51-55

10.3969/j.issn.1003-9767.2020.16.018

(项目编号:2018JK05):湖南中医药大学计算机科学与技术学科开放基金项目 :湖南中医药大学***基金项目

本校为第一机构

目的:使用数据挖掘相关技术对中药方剂数据进行分析研究,挖掘其中存在的规律。方法:对"中药方剂数据库"中的数据进行收集、整理和预处理,构建"中药方剂数据挖掘系统",选取功效为活血祛瘀与治疗病症中含有咳嗽的方剂,使用关联规则挖掘算法Apriori进行分析和研究。结果:通过对具有活血祛瘀功效的方剂进行分析,得到排名前十的高频单味药和高频药对,挖掘出关联性较强的9组二项关联与13组三项关联;通过对治疗病症中有咳嗽症状的方剂进行分析,得到排名前十的高频单味药和高频药对,挖掘出关联性较强的5组二项关联与4组三项关联。结论:通过使用算法和系统能够成功挖掘出常用的活血祛瘀方剂和治疗咳嗽方剂...

Objective:To analyze and research the data of traditional Chinese medicine prescriptions based on data mining,and discover the rules among it.Methods:The data in the Chinese Medicine Prescription Database are collected,arranged and preprocessed.A system called Data Mining System for Chinese Medicine Prescriptions is built,then some prescriptions which have efficiencies of promoting blood circulation and dispersing blood stasis,and treat the symptoms containing cough are considered,and lastly association rules are analyzed and extracted by using Apriori algorithm.Results:By analyzing the prescr...