中文摘要：

目的运用贝叶斯网络技术研究广泛性焦虑症的中医证候学规律。方法于2009年8月1日—2010年7月31日，对北京地区10家分中心705例广泛性焦虑症患者进行为期1年的中医证候学观察，通过专家组指导，运用贝叶斯网络技术建立中医证候模型，分析广泛性焦虑症的中医证候学规律。结果运用贝叶斯网络技术提取了9个证候类型，分别为肝郁化火、气郁血瘀、痰热扰心、心胆气虚、肝郁脾虚、心肾不交、心脾两虚、肾精亏虚、肾虚肝旺。结论贝叶斯网络在中医证候建模、挖掘证候规律等方面具有一定的应用前景，适用于中医证候规律的研究。

英文摘要：

Objective To explore the TCM syndrome discipline of generalized anxiety disorder （GAD） by Bayesian network. Methods TCM syndromes of 705 GAD patients in 10 hospitals of Beijing from 1st August 2009 to 31th July 2010 were observed, and the syndrome discipline of GAD was analyzed by Bayesian network guided by expert group. Results Nine syndrome patterns were extracted by Bayesian network, which were depression of the liver generates pathogenic fire, qi depression and blood stasis, phlegm heat disturbing heart, deficiency of heart-qi and gallbladder-qi, stagnation of liver qi and spleen deficiency, heart-kidney imbalance, heart-spleen deficiency, kidney essence deficiency and kidney deficiency with liver hyperactivity. Conclusion Bayesian network has certain future on establishing TCM syndrome model and analyzing syndrome discipline, which is suitable for the research of TCM syndrome discipline.