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The Knowledge Discovery Method for Diagnosis and Treatment Experience on Diabetes of Famous Tcm Doctor Based on Structural Partial-Ordered Attribute Diagram

机译:基于结构偏序属性图的中医名医诊治知识发现方法

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This paper presents a method of discovering new knowledge of clinical diagnosis from the famous TCM doctors' experience about diabetes mellitus base on the theory of Structural Partial-Ordered Attribute Diagram (SPOAD). Firstly, medical records of type 2 DM were collected in Professor Li Saimei's clinic from January to December 2013. Secondly, according to the differences of research content, medical records are considered as object, whereas syndromes, symptoms, main formula, herbal composition as attributes, and the formal context is based on it. Thirdly, some SPOAD are generated. Finally, the treatment principles of Professor Li in treating type 2 DM with TCM were discovered.
机译:本文提出了一种基于结构部分有序属性图(SPOAD)的理论,从中医著名的糖尿病经验中发现新的临床诊断知识的方法。首先,从2013年1月至2013年12月在李赛美教授的诊所收集了2型糖尿病的病历。其次,根据研究内容的不同,病历被视为对象,而综合征,症状,主要配方,中草药成分为特征,正式语境就是以此为基础的。第三,生成一些SPOAD。最后,发现了李教授用中医治疗2型糖尿病的治疗原则。

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