摘要
目的运用数据挖掘方法探究失眠中医证候分布特征。方法采用因子分析法得到因子载荷矩阵,并在此基础上进行最大方差正交旋转,经过迭代,按照特征根大于1的标准提取出公因子,选取各公因子内载荷系数绝对值>0.3的症状体征信息进行分析,得出证候要素及病位。结果21个公因子共提取了75%的原始信息。证候要素主要有气虚、血虚、阴虚、火热、食滞、痰湿、气滞、血瘀等,病位有心、脾、肾、肝、肺、胆、胃。结论症状体征降维统计结果与传统中医对失眠的病机病位的认知相一致,为传统中医失眠理论提供了一定的数据支撑。
Objective To extract characteristics of traditional Chinese medicine(TCM)syndromes for chronic insomnia by reducing the dimensions.Methods The factor load matrix was obtained by factor analysis,the maximum variance orthogonal rotation was carried out on this basis,and the total variance was explained after iterative.Syndrome elements and disease positions were obtained according to the symptom indication information of 0.3.Results A total of 21 common factors extracted 75%of the original information.Symptom elements included Qi deficiency,blood deficiency,Yin deficiency,excessive fire,food hysteria,phlegm and dampness,Qi stagnation and blood stasis.Disease locations included heart,spleen,kidney,liver,lung,gallbladder and stomach.Conclusion The statistical results of symptoms were consistent with the pathogenesis and location of insomnia,and distribution results of TCM syndromes.It provided the data support for the insomnia theory of traditional Chinese medicine.
作者
张喜
袁霭凤
党娇娇
闪增郁
宋军
ZHANG Xi;YUAN Aifeng;DANG Jiaojiao;SHAN Zengyu;SONG Jun(Experimental Research Center of China Academy of Chinese Medical Sciences,Beijing 100700,China)
出处
《辽宁中医杂志》
CAS
2023年第7期19-23,共5页
Liaoning Journal of Traditional Chinese Medicine
基金
中国中医科学院医学实验中心基本科研业务费自主选题项目(zz2017010)。
关键词
失眠
中医证候
证候要素
因子分析
insomnia
traditional Chinese medicine syndrome
traditional Chinese medicine syndrome factor
factor analysis
作者简介
张喜(1991-),女,硕士在读,研究方向:与脑血管疾病相关的脉学研究;通讯作者:闪增郁(1961-),男(回族),研究员,研究方向:中医基础医学、中医脉学研究,E-mail:13651296415@163.com;通讯作者:宋军(1964-),男,研究员,研究方向:中西医结合临床研究,E-mail:junsong86@sohu.com。
