The Study Of Biqiu About Syndrome Differentiation And Treatment Law Based On Digital Mining

Chinese medicine has a long history of thousands of years, which has its own system of scientific theories.It is the study of processes and activities of human life against disease and maintain health sciences, and the overall concept and syndrome differentiation and treatment is the essence of his theory in the long-term accumulation of experience forming theoretical system. But in the process of syndrome differentiation and treatment of traditional Chinese medicine, such as between symptoms and syndromes, syndrome and treatment methods, symptoms and herbs, herbs and some herbs are formed by the accumulation of experience, Chinese medicine exists of strong subjectivity, poor repeatability, and low efficiency and many other deficiencies.Therefore, data mining techniques become a Feasible and scientific method from mining law into a large number of Chinese medicine in the treatment of disease.The main contents of the study is allergic rhinitis, with paroxysmal sneezing, plenty of water samples nose, nasal congestion and nasal itching characteristics. Allergic rhinitis is easily overlooked and undervalued, but its repeated illness significantly affect the quality of life of patients, such as the impact of sleep, resulting in reduced efficiency; affected their memory, to social activities, entertainment trouble and inconvenience.Chinese medicine in the treatment of allergic rhinitis, its effect has been affirmed and has good security. How to make Chinese medicine syndrome differentiation and treatment objective, standardized, improve the efficacy of traditional Chinese medicine diagnosis and treatment of disease, Chinese medicine research work has been an important issue. Based on the above background, the use of new research methods, such as computers and other data mining techniques combined with TCM theory to fully exploit the law, has become a new research direction and focus, not only to enrich their own theoretical system of Chinese medicine, but also help in promoting systematic, information technology standardization and modernization of Chinese medicine.ObjectiveUse data mining techniques to establish the diagnosis of Biqiu decision tree model, which establishes of a scientific and objective diagnosis model TCM Biqiu; use Apriori association rules algorithm to explore Biqiu Prescription and Syndrome, and to explore the treatment of Biqiu medicine compound drug compatibility rule.MethodsThis research is the study of law of treating allergic rhinitis based on data mining. Clinically diagnosed as allergic rhinitis patients are the observation object, according to the 2010 "Chinese Medicine Department of ENT diagnosis and treatment guideline of common disease and the new century (Second Edition) Wang Shizhen editor of "Chinese Otolaryngology for nearly 10 years, " a reference to the literature of traditional Chinese medicine syndrome differentiation of TCM Syndrome types of allergic rhinitis, typing and treatment of traditional Chinese medicine allergic rhinitis, to collect the data type of the Chinese medicine diagnosis as the basis, using CRT algorithm to establish biqiu syndrome differentiation type of decision tree model, using SPSS 17.0 software using 50% proportional random split sample validation of this model. The compound drug compatibility rules use Apriori algorithm of association rules, to explore the relationship between allergic rhinitis TCM syndromes, TCM treatment of allergic rhinitis. Through the clinical effective data collection, collation, analysis, explore the hidden in each card biqiu type, especially the theory of "treating TCM chills and fever, asthenia and sthenia and see" card with the tutor experience "Shu Mei particles".Result1 the results in allergic rhinitis TCM syndrome differentiation rule as the foundation, the successful construction of biqiu syndrome differentiation classification model of decision tree is based on CRT algorithm.2 the topic in the syndrome differentiation typing of allergic rhinitis were divided into 5 types, clinical on with " Fei jing fu re shang fan bi qiao " see more. The clinical data of inspection, biqiu syndrome differentiation are typing a total of more than 93% accuracy.3 this topic biqiu " Fei qi xu han wei biao bu gu " classification model accuracy rate is 100%. Think "IF fear the wind and limbs not warm (no) and fatigue (no) and thirst (no) THEN Fei qi xu han wei biao bu gu " as the best classification diagnosis rules.4 this issue through the association rules is derived from allergic rhinitis clinical Chinese medicine Magnolia most frequently used, in addition to the use of Shufeng jiebiao drugs, according to the allergic rhinitis of all types, the heat clearing drug, warm in medicine, tonic flexibility in the use of it in clinical practice.5 this issue through the association rules is derived from allergic rhinitis " Han re cuo za xu shi bing jian" card type, clinical on with heat in the heart and lung, liver and gall on the heat under the cold to see more.6 The research of association rules between different syndromes of drugs, in addition to a part of common specificity strong drugs, and that some of the more special to drug. Such as " Han re cuo za xu shi bing jian " draw "Shu Mei particles" strong association drug group "Wumei、Baizhi�'Huangqin"、" Wuweizi、Huangqi �'Wumei ".Conclusion1 decision tree algorithm for syndrome differentiation of TCM disease type has certain feasibility.2 clinical allergic rhinitis " Han re cuo za xu shi bing jian " exist, although textbooks did not classification list.3 Syndrome differentiation by association rules discussion of traditional Chinese medicine on the treatment of allergic rhinitis, contribute to the discovery of new knowledge.