抑郁症中医证候的贝叶斯网络研究  

Bayesian Network Research on TCM Syndromes of Depression

作　　者：唐启盛[1] 曲淼[1] 包祖晓[1] 王耘[2] 马良[3] 

机构地区：[1]北京中医药大学第三附属医院,北京市100029 [2]北京中医药大学中药学院 [3]首都医科大学附属安定医院

出　　处：《中医杂志》2008年第11期1013-1015,共3页Journal of Traditional Chinese Medicine

基　　金：2004年北京市科委首都发展基金重大联合项目(2003-I-02)

摘　　要：目的通过贝叶斯网络分析方法分析抑郁症中医证候的分型。方法制订《抑郁症中医证候观察表》,观察611例患者的横断面证候,运用贝叶斯网络模型进行数据研究,并结合前期聚类分析研究结果,得出中医证型及诊断标准。结果拟定出抑郁症的6个中医证型:肾虚肝郁证、肝郁脾虚证、心脾两虚证、肝胆湿热证、心胆气虚证。结论基于贝叶斯网络研究的中医证型具有一定客观性、科学性,较符合中医理论。Objective To analyze the TCM syndromes of depression with the Bayesian Network analysis. Methods The Observation Table on TCM Syndromes of Depression was made to do a cross section observation on 611 depression patients for the data study with Bayesian Network analysis. In combination with the result of previous cluster analysis, the TCM syndromes were set up and their diagnostic standards were worked out. Results Depression was of six syndromes： Kidney deficiency and liver stagnation syndrome, liver stagnation and spleen deficiency syndrome, heart and spleen deficiency syndrome, liver and gallbladder damp heat syndrome, heart and gallbladder qi deficiency syndrome. Conclusion The TCM syndromes based on Bayesian Network analysis are objective and scientific, in accordance with the TCM theory.

关 键 词：抑郁症 中医证候 贝叶斯网络研究 

分 类 号：R277.7[医药卫生—中医学]