期刊论文

Research on rules of syndrome differentiation and medication of coronary heart disease based on data mining

Ding, C.-S.

中文

中草药

0253-2670

2020

51

14

3742-3746

10.7501/j.issn.0253-2670.2020.14.018

国家重点研发计划(2017YFC1703306) 湖南省教育厅科学研究项目(19C1391) 湖南省教育厅重点项目(18A227) 湖南省重点研发计划(2017SK2111) 湖南省自然科学基金(2018JJ2301) 湖南省中医药科研计划重点课题(2020002) 湖南中医药大学电子科学与技术学科开放基金(2018DK04)。

本校为第一机构

目的基于数据挖掘技术研究分析冠心病辨证用药规律。方法首先搜集整理名家医案处方,对数据进行规范化处理,构建冠心病处方数据库;再借助统计学软件IBM SPSS Statistics 20.0对药物频次、病位证素频次及病性证素频次的分布进行统计;最后应用Apriori关联规则算法等进行数据挖掘,分析潜藏的用药配伍规律。结果对遴选出的145首处方进行分析,涉及216味常用中药、8个病位证素和12个病性证素;挖掘出用药频次大于平均频次的药物46味,使用频次前5位的中药分别为丹参、甘草、栝楼、半夏、川芎,病位证素以心、肾、脾、肝为主,病性证素以血瘀、气虚、痰、阳虚、气滞、阴虚为主;当满足最小支持度为15%且最小置...

Objective: To analyze the rules of coronary heart disease syndrome differentiation based on the data mining technology. Methods: First of all, the famous medical records and prescriptions were collected and normalized to construct the database of coronary heart disease prescriptions. Then, IBM SPSS Statistics 20.0, a statistical software, was used to conduct statistics on the distribution of drug frequency, disease site syndrome frequency and disease syndrome frequency. Finally, the Apriori algorithm was applied to carry out data mining and ana...