The Knowledge Discovery Method for Diagnosis and Treatment Experience on Diabetes of Famous TCM Doctor Based on the Theory of Structural Partial-Ordered Attribute Diagram
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. First, we deal with the decision formal context of prescriptions in 200 Medical Cases about Diabetes Mellitus in professor Li Saimei's clinical working based on principle of the optimization. Then, we generate a new partial-order attribute diagram in order to present the specific character. Finally, we explain properties of partial order structure graph from TCM expert's point of view based on knowledge discovery. It was concluded that the method proposed in this paper works well in treating of the description of differentiation of syndromes and discovering new knowledge of clinical diagnosis from the known data. The method plays a great significant role for providing a scientific and advanced technological means in the heritage of Traditional Chinese Medicine.