Square Card. "disease - Card" Associated Discrimination Rules And Mode Of Study

To date, along with the extensive application of such medical science information systems as PACS, HIS and RIS etc., the technique for clinical data acquisition and storage has been improved by a large margin, realizing basically the digitalization of medical data. However, incompatible with the rapid progress of data acquisition and storage technique, the knowledge acquisition still lags far behind, resulting in the limited knowledge obtained from the enormous 'data mountain'. Therefore, increasingly greater importance has been attached on the issue of how to take advantage of the engineering technique so as to obtain the knowledge from the mass data automatically, which plays the critical role in resolving the bottleneck limiting the development of the intelligent diagnosis system, namely acquisition of medical science knowledge. Given what mentioned above, a comprehensive study is conducted on the application of data mining technique in clinic differentiation of TCM, which concentrates on the discussion of data mining problems featuring by the issue of TCM formula-syndrome decision. On the basis of 422 basic formulae, GEP is adopted to explore the symptom-syndrome relational expression of TCM, completing initially the decision system of formulae symptom-syndrome. Research includes 3parts: preparation of data and creation of database, studies on the decision rule and mode of formula-syndrome as well as the trial on the sample formula. The result witnesses a relatively high coincidence rate, indicating that the adopted method is feasible, which deserves the further study.