基于聚类分析的肺癌中医证候分类及诊断的研究  

Classification and diagnosis of TCM syndromes of lung cancer based on clustering analysis

作　　者：张月[1] 张培彤[1] 赵冰[1] 杨宗艳[1] 李道睿[1] 胡小梅[1] 闫洪飞[1] 

机构地区：[1]中国中医科学院广安门医院肿瘤科,北京100053

出　　处：《北京中医药大学学报》2009年第2期132-135,共4页Journal of Beijing University of Traditional Chinese Medicine

基　　金：首都医学创新发展基金课题(No.03-Ⅱ-06)

摘　　要：目的应用变量聚类分析的数理统计方法,对肺癌中医证候进行分类及诊断的研究。方法采用临床流行病学的方法,记录350例肺癌患者的症状、体征和舌脉象等临床资料,并对临床资料进行变量指标聚类分析。结果肺癌患者中医证候分为痰浊阻肺证、气虚证、肝郁化火证和瘀血阻络证4类,解释比例为71.58%。并初步确定了各证候的诊断要点。结论变量聚类分析同时结合专家意见能够帮助进行中医证候的合理分类及初步确定证候诊断要点,同时为中医辨证论治肺癌提供一定理论依据。Objective To study the classification and diagnosis of TCM syndromes of lung cancer by using mathematical statistics of variable clustering analysis. Method The clinical materials, including symptoms, signs, and manifestations of tongue and pulse, were recorded in 350 patients with lung cancer by using epidemiological method, and then the materials were dealt with variable clustering analysis. Result The TCM syndromes in the patients were classified into 4 types, including the syndrome of turbid phlegm obstructing lung, syndrome of qi deficiency, syndrome of stagnated liver-qi transforming into fire, and syndrome of blood stasis blocking collaterals. The variable proportion was 71.58%, and main diagnostic points were determined for different syndromes initially. Conclusion The variable clustering analysis combined with expert＇s opinion is helpful in the rational classification of TCM syndromes and initial research of main diagnostic points, which, meanwhile, provides theoretical foundation to a certain extent for the syndrome differentiation and treatment of lung cancer.

关 键 词：肺癌 聚类分析 证候分类 

分 类 号：R273[医药卫生—中西医结合]