On the basis of the theory of formal concept analysis (FCA), a new method for generation of an attribute hierarchical graph is proposed in this paper. This method can solve the problems of how to mine and express classification knowledge and rules in compatibility of prescription. In this paper, we view prescriptions as objects that possess certain attributes of the named drugs. First, the formal context is established based on theory. Then optimization of the original formal context and extracts the connotation and extension of the concept are followed, constructing attribute hierarchical graph. Finally, useful knowledge from the hierarchical diagram of attributes based on the way of knowledge representation is mined. The result showed that the method for discovering Traditional Chinese Prescription (TCP) diagnostic knowledge is feasible and effectual for small samples. The research of large samples is 13th open question of FCA. It is an international subject to be studied urgently.
Concept Formation ; Drug Combinations ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Humans ; Medicine, Chinese Traditional ; standards