Research On Knowledge Discovery Of Prescription Compatibility Based On Data Attribute Partial Order Structure Visualization

The knowledge discovery on prescription compatibility is based on the theory of traditional Chinese medicine and pharmacy.Exerting the modern technological methods on data mining and knowledge discovery is the process of making knowledge mining and discovery to the prescription compatibility,property of a medicine and prescription structure.Combining the theory of traditional Chinese medicine and pharmacy with the the modern information technology to make knowledge discovery on prescription compatibility contributes to the development of the theory of traditional Chinese medicine and pharmacy,the characteristic of the traditional Chinese medicine and to the promotion of the modernization of the traditional Chinese medicine.Whereas,the data of traditional Chinese medicine and pharmacy is systematic,holistic,complex and uncertain,therefore,mining the knowledge with commonness and specificity from a large number of prescription data is the researching project of great necessity.This paper is based on the compatibility of Chinese medicine prescription and the theoretical basis of Formal Concept Analysis(FCA)and the attribute partial order.Knowledge discovery method on the prescription compatibility of concept attribute partial order structure based on visualization of the data attribute partial order structure is studied.This method combines the idea of the generation method of the concept lattice and attribute partial order structure diagram,and turns the node in concept lattice into the branch in the attribute partial order structure diagram.And the knowledge discovery of the prescription compatibility is completed by studying the relationship of the group structure,subgroup structure,node and branches in the concept attribute partial order structure diagram.First,the theory and the method of generating the concept lattice based on the partial order theory and formal concept analysis are introduced,and the purification method and the attribute reduction of the formal context in the perspective of redundancy of the attributes and objects are also given in this paper,which lays theoretical foundation for the knowledge discovery based on the data partial order structure.Besides,the concept attribute structure partial order diagram,a new visualization method for knowledge discovery and rule extraction,turning the nodes in concept lattice into the branches of the attribute partial order structure diagram,is proposed.The knowledge discovery and rule extraction of the prescription compatibility of traditional Chinese medicine and pharmacy are completed in a multilevel,multi-aspect way of various kinds by studying the relationship of the group structure,subgroup structure,node and branches in the concept attribute partial order structure diagram.Furthermore,the spleen and stomach disease are used as the studying object to compose the prescription-medicine formal context,the context on flavor and the meridian tropism and the attribute attribute structure partial order diagrams concerned based on Piweilun,Shengjizonglu,Shenghuifang are also generated.Then getting the basic medicine,high-frequency treatment,common medicine groups and pairs that are beneficial to treating the spleen and stomach disease by analyzing the node hierarchy,common attribute,associative attribute,the flavor and meridian tropism and the efficacy of prescriptions from the group structure and subgroup structure to discover the medication rules and medicine combination pattern.Finally,the prescription from Shanghanlun is used as initial data to mine the knowledge on compatibility of prescription structure of Shanghan Lun.The major preions,minor preions,odd-ingredient preions,and even-ingredient preions based on the attribute partial order structure diagram are studied.Besides,the knowledge discovery method on preions for the emergency,slow-acting recipe,seven relations is discovered by analyzing the efficiency of the medicine node.By computing the relative measurement of the medicine,the sovereign,minister,assistant and guide of the prescriptions,medicine and the dose of medicine are mined.