Chen Chan, Meng Yong-mei, Zhang Peng, Wang Juan, Zhao Hui-hui, Guo Shu-zhen, Wang Wei
School of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhong Xi Yi Jie He Xue Bao. 2010 Nov;8(11):1080-4. doi: 10.3736/jcim20101113.
The primary aim of this research is to systematically sort out and analyze available clinical documents for chronic congestive heart failure in traditional Chinese medicine (TCM) and integrated traditional Chinese and Western medicine, and to explore the diagnosis and treatment rule of TCM syndrome factors with data mining method.
Based on the China National Knowledge Internet (CNKI) and Chinese Biomedical Literature Database (CBM), using "chronic heart failure" or "chronic congestive heart failure" or "chronic cardiac insufficiency" and "traditional Chinese medicine" or "syndrome" or "integrated traditional Chinese and Western medicine" as keywords for literature selection, we used Shannon entropy nonlinear complex system method for the feature extraction after data preprocessing.
The statistics showed that yang deficiency, qi deficiency, blood stasis, water retention, yin deficiency, and turbid phlegm were principal TCM syndrome factors; herbs of qi-tonifying, blood-activating, water-draining, phlegm-dispelling, exterior-releasing, interior-warming were main drugs for clinical application. The symptoms and Chinese herbs which intimately connect with TCM syndrome factors were extracted, while their diagnostic contribution degrees were quantified by correlation coefficient. The symptoms which had high scores were general syndromes while the symptoms which had low scores were specific manifestations of a certain patient. Common Chinese herbs corresponding to each syndrome factor were picked out, indirectly reflecting their frequencies in clinical application.
Based on data mining of the relationship among the four diagnostic methods of TCM, syndrome factors and herbs, this study provided references for differentiation of TCM syndrome and selection of Chinese medicine according to clinical syndrome factors.
本研究的主要目的是系统梳理和分析中医及中西医结合治疗慢性充血性心力衰竭的临床文献,并运用数据挖掘方法探索中医证候要素的诊疗规律。
基于中国知网(CNKI)和中国生物医学文献数据库(CBM),以“慢性心力衰竭”或“慢性充血性心力衰竭”或“慢性心功能不全”以及“中医”或“证候”或“中西医结合”为关键词进行文献筛选,在数据预处理后采用香农熵非线性复杂系统方法进行特征提取。
统计显示阳虚、气虚、血瘀、水饮、阴虚、痰浊为主要中医证候要素;益气、活血、利水、化痰、解表、温里类中药为临床应用的主要药物。提取了与中医证候要素密切相关的症状和中药,并通过相关系数量化其诊断贡献度。得分高的症状为常见证候,得分低的症状为某一患者的具体表现。筛选出各证候要素对应的常用中药,间接反映其在临床应用中的频次。
本研究通过对中医四诊、证候要素与中药之间关系的数据挖掘,为中医辨证及根据临床证候要素选用中药提供了参考。