应用数据挖掘技术分析张代钊对肺癌病机的认识  

Professor ZHANG Daizhao' s Knowledge of the Pathogenesis of Lung Cancer Based on Data Mining Technology

作　　者：崔慧娟[1] 邹超[2] 王红岩[2] 

机构地区：[1]中日友好医院中西医结合肿瘤科,北京市朝阳区樱花东路2号100029 [2]北京中医药大学

出　　处：《中医杂志》2014年第2期114-117,共4页Journal of Traditional Chinese Medicine

基　　金：国家中医药管理局2010年全国名老中医药专家传承工作室建设项目

摘　　要：应用数据挖掘技术,建立张代钊教授临床诊疗信息采集电子信息化模板。采集145例肺癌患者门诊病历324诊次,确定每个病例的证候类型,形成病历数据库。通过无尺度网络提供的网络图对病例进行分析,发现气滞血瘀是肺癌的中心病机,痰湿热毒、阴虚、气虚是中间病变,各脏腑功能失衡是最初的病理基础。肺癌患者以虚证为主,气虚证候为39.1%,阴虚证候为23.2%,脾虚证候为6.6%;实证中痰湿证候为10.1%,血瘀证候为8.9%,气滞证候为7.0%,痰热证候为5.1%。The clinical information gathering electronic template of Professor ZHANG Daizhao was established. Totally 145 cases of lung cancer were collected and the pattern types were determined to establish a medical record da- tabase. Qi stagnation blood stasis is the main pathogenesis, phlegm-clamp-heat-toxin, yin deficiency and qi deficiency are the intermediate lesions and organ function imbalance is the initial pathologic basis of lung cancer according to the network diagram provided by the scale-free networks. The lung cancer patients were mainly with deficiency pattern and qi deficiency pattern, yin deficiency pattern and spleen deficiency pattern accounted for 39.2% , 23.2% and 6.6% respectively. There were 10. 1% phlegm damp pattern, 8.9% blood stasis pattern, 7.0% qi stagnation pattern and 5.1% phlegm heat pattern in the repletion patterns.

关 键 词：肺癌 数据挖掘 病机 张代钊 

分 类 号：R273[医药卫生—中西医结合]