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基于临床医疗科研信息共享系统AECOPD证症相关性分析研究
引用本文:胡金亮,李素云,余海滨,张润顺,周雪忠,张兴红,李真.基于临床医疗科研信息共享系统AECOPD证症相关性分析研究[J].世界科学技术-中医药现代化,2013,15(7):1596-1599.
作者姓名:胡金亮  李素云  余海滨  张润顺  周雪忠  张兴红  李真
作者单位:河南中医学院第一附属医院 郑州 450000;河南中医学院第一附属医院 郑州 450001;河南中医学院第一附属医院 郑州 450002;中国中医科学研究院广安门医院 北京 100053;北京交通大学计算机与信息技术学院 北京 100044;河南中医学院第一附属医院 郑州 450000;河南中医学院第一附属医院 郑州 450000
基金项目:国家中医药管理局2012 中医药行业科研专项(HY12079675):中医临床医疗科研信息共享系统的应用及推广研究,负责人:李真。
摘    要:目的:利用复杂网络开展慢性阻塞性肺疾病急性加重期(AECOPD)证症相关性分析研究,为AECOPD 证候诊断标准的修订提供科学依据,并探索有关技术方法的推广应用。方法:利用当前我院临床医疗科研信息共享系统,开展大数据(2011 年8 月~2013 年1 月间3 000 份格式化电子病历数据)导入数据库,通过ETL 软件进行数据处理,运用复杂网络进行数据挖掘。获取AECOPD 常见证候常见症状的相关度MISCR 值(证候与症状的相关性),并与现有标准对比分析。结果:痰热壅肺、肺肾气虚、痰浊阻肺等各证候对应的症状群与现有标准对应分析发现临床所见证候多虚症、实症夹杂,但个别症状与对应的证候相矛盾。结论:基于临床医疗科研信息共享系统,开展AECOPD 证症相关性分析研究,为中医证候诊断 标准的验证和修订提供有力的证据和方法学研究。

关 键 词:临床医疗科研信息共享系统  证候分布  证症相关性分析  复杂网络
收稿时间:2013/6/19 0:00:00
修稿时间:2013/9/24 0:00:00

Correlation Analysis of Syndromes and Symptoms of TCM AECOPD Based on Clinical Research Information Sharing System
Hu Jinliang,Li Suyun,Yu Haibing,Zhang Runshun,Zhou Xuezhong,Zhang Xinghong and Li Zhen.Correlation Analysis of Syndromes and Symptoms of TCM AECOPD Based on Clinical Research Information Sharing System[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2013,15(7):1596-1599.
Authors:Hu Jinliang  Li Suyun  Yu Haibing  Zhang Runshun  Zhou Xuezhong  Zhang Xinghong and Li Zhen
Institution:First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China;First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China;First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China;Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China;Beijing Jiaotong University, College of Computer and Information Technology, Beijing 100044, China;First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China;First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China
Abstract:This study was aimed to analyze correlation between traditional Chinese medicine (TCM) syndromes and symptoms of acute exacerbation chronic obstructive pulmonary disease (AECOPD) based on complex network in order to provide a scientific basis for TCM syndrome amendments of diagnostic criteria, and explore relevant technologies to promote its application. By way of the current Clinical Research Information Sharing System, data and data processing were carried out (EHR 3000 between August 2011 and January 2013) into the database by ETL software.The MISCR (correlation between common symptoms and common syndromes) from both common symptoms and common syndromes of AECOPD was analyzed with existing diagnosis standards of AECOPD. The comparative analysis on TCM syndromes such as heat phlegm obstructing the lung, lung and kidney qi deficiency, phlegm turbid obstructing the lung and their correspondent existing diagnosis standards of AECOPD showed that the common TCM syndromes in the clinic are the mixture of deficiency and excess syndromes. However, some individual symptom is contradicted to its correspondent syndrome. It was concluded that based on the Clinical Research Information Sharing System, the research on correlation analysis between syndromes and symptoms of AECOPD can provide strong evidence and methodology for the validation and revision of TCM diagnostic criteria.
Keywords:Clinical Research Information Sharing System  syndrome distribution  correlation between common symptoms and common syndrome  complex network
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