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Journal of Chinese Integrative Medicine ›› 2006, Vol. 4 ›› Issue (6): 567-571.doi: 10.3736/jcim20060604

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Application of Bayesian network in syndrome differentiation system of traditional Chinese medicine

Wen-feng Zhu,Jun-feng Yan,Bi-qun Huang   

  1. Institute of Traditional Chinese Medicine Diagnosis, Hunan University of Traditional Chinese Medicine, Changsha, Hunan Province 410007, China
  • Online:2006-11-30 Published:2006-11-15

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The concept of syndrome in traditional Chinese medicine (TCM) is a nonlinear, open and complicated huge system. Syndrome differentiation in TCM belongs to cognitive and noetic science. To establish a new syndrome differentiation system based on the key elements of the syndrome is necessary for TCM practitioners to promote differentiation ability and reach consensus on differentiation method. With combination of experience and computation models, the Bayesian network was used in the study of the relationship between the key elements of syndrome and the symptoms, and the relationship among different key elements, in which the computing diagnosis result was identical to the result from an experienced TCM doctor. The study showed that Bayesian network is a good method to deal with the information of symptoms and signs for syndrome differentiation, but it is also not to reflect comprehensively the thinking ability of TCM doctors in doing syndrome differentiation.

Key words: Key pattern elements, Syndrome differentiating system, Traditional Chinese medicine, Bayesian network

CLC Number: 

  • R241

"

编号 输入变量数 输入症状 提示证素 提示证名
A 11 咳嗽,气喘,吐痰,发热重恶寒轻,口腔赤烂,腰痛,舌苔微腻,脉浮,脉数 肺、风热 风热犯肺证
B 11 发热,咳嗽,痰色黄,肺部湿罗音,腰痛,经常便溏,舌赤,舌苔黄,脉数 热、肺 肺热炽盛证
C 13 咳嗽,五心烦热,潮热,干咳,咽干,久不欲食,面色晦暗,舌红嫩小,苔少,脉细,脉数 阴虚、肺 肺阴虚证
D 13 咳嗽,吐痰,气喘,肺部湿罗音,喉哮鸣声,舌苔黄,舌苔腻,脉滑,脉数 痰、热、肺、风热 痰热壅肺证

Effect of PTF on glucose uptake in 3T3-L1 adipocytes A：风热犯肺证;B：肺热炽盛证;C：肺阴虚证;D：痰热壅肺证"

"

变量及其赋值 概率（P值）
发热=1 | 脉数=0 0.114 5
发热=1 | 脉数=1 0.342 8
腰痛=1 0.017 4
咳嗽=1 | 肺部湿罗音=0,肺=0 0.127 5
咳嗽=1 | 肺部湿罗音=0,肺=1 0.886 4
咳嗽=1 | 肺部湿罗音=1,肺=0 1.000 0
咳嗽=1 | 肺部湿罗音=1,肺=1 0.960 8
痰色黄=1 | 咳嗽=0,热=0 0.006 8
痰色黄=1 | 咳嗽=0,热=1 0.013 6
痰色黄=1 | 咳嗽=1,热=0 0．053 0
痰色黄=1 | 咳嗽=1,热=1 0.344 4
经常便溏=1 0.046 1
肺部湿罗音=1 | 肺=0 0.048 5
肺部湿罗音=1 | 肺=1 0.469 8
舌赤=1 | 发热=0,舌苔黄=0,脉数=0,热=0 0.064 8
舌赤=1 | 发热=0,舌苔黄=0,脉数=0,热=1 0.410 5
舌赤=1 | 发热=0,舌苔黄=0,脉数=1,热=0 0.283 7
舌赤=1 | 发热=0,舌苔黄=0,脉数=1,热=1 0.446 6
舌赤=1 | 发热=0,舌苔黄=1,脉数=0,热=0 0.600 0
舌赤=1 | 发热=0,舌苔黄=1,脉数=0,热=1 0.464 7
舌赤=1 | 发热=0,舌苔黄=1,脉数=1,热=0 0.500 0
舌赤=1 | 发热=0,舌苔黄=1,脉数=1,热=1 0.607 5
舌赤=1 | 发热=1,舌苔黄=0,脉数=0,热=0 0.285 7
舌赤=1 | 发热=1,舌苔黄=0,脉数=0,热=1 0.333 3
舌赤=1 | 发热=1,舌苔黄=0,脉数=1,热=0 0.307 6
舌赤=1 | 发热=1,舌苔黄=0,脉数=1,热=1 0.470 5
舌赤=1 | 发热=1,舌苔黄=1,脉数=0,热=0 0.500 0
舌赤=1 | 发热=1,舌苔黄=1,脉数=0,热=1 0.714 2
舌赤=1 | 发热=1,舌苔黄=1,脉数=1,热=0 1.000 0
舌赤=1 | 发热=1,舌苔黄=1,脉数=1,热=1 0.725 4
苔色黄=1 0.327 1
脉数=1 0.435 3
热=1 | 苔色黄=0,脉数=0,肺=0 0.096 4
热=1 | 苔色黄=0,脉数=0,肺=1 0.438 0
热=1 | 苔色黄=0,脉数=1,肺=0 0.333 3
热=1 | 苔色黄=0,脉数=1,肺=1 0.560 0
热=1 | 苔色黄=1,脉数=0,肺=0 0.400 0
热=1 | 苔色黄=1,脉数=0,肺=1 0.846 1
热=1 | 苔色黄=1,脉数=1,肺=0 0.677 4
热=1 | 苔色黄=1,脉数=1,肺=1 0.923 7
肺=1 0.743 7

"

证素 推算概率 阈值 推算判别 临床辨证
痰 0.000 0.803 0 0
热 0.383 0.860 0 0
肺 0.354 0.071 1 1
心 0.000 0.977 0 0
肝 0.022 0.902 0 0
脾 0.000 0.986 0 0
肾 0.020 0.991 0 0
胃 1.000 0.999 1 1
阳虚 0.000 1.000 0 0
阴虚 1.000 0.844 1 1
气虚 0.071 0.875 0 0
血虚 0.000 1.000 0 0
气滞 0.000 0.977 0 0
血瘀 0.002 0.984 0 0
肠道 0.000 0.984 0 0
闭 0.000 1.000 0 0
心神 0.000 0.983 0 0
水停 0.000 1.000 0 0
风寒 0.000 0.997 0 0
风热 0.000 0.998 0 0
表 0.000 0.973 0 0
寒 0.000 0.988 0 0
饮 0.001 0.921 0 0
燥 0.000 0.934 0 0
胸膈 0.000 0.961 0 0
………
肺胃阴虚 1.000 0.750 1 1
………
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