The Analysis of the Reagularity of Treating Diabetes with "KuSuanZhiTian" Method on the Basis of Clinic Data Mining
|School||China Academy of Traditional Chinese Medicine|
|Course||Chinese medical science|
|Keywords||Diabetes The bitter acid made ??sweet law Data Mining Analysis of drug law|
Diabetes is a major chronic diseases that endanger human health . The control of blood glucose is always one of the key issues in the treatment of diabetes . However , relatively hypoglycemic western medicine , Chinese medicine treatment of diabetes , the advantage is still reflected in the improvement of the symptoms of diabetes complications , traditional Chinese medicine antidiabetic alone has never been able to achieve important breakthroughs , the impact of the improvement of TCM clinical efficacy . Combined with years of clinical experience and the related discussion in the classic mentor with Professor Kobayashi , found in ancient of Diabetes and modern diabetes connotations are different , which summed up the modern diabetes pathogenesis and course of evolution . On this basis , the teachers on the basis bitter acid and sweet nature opposing the law , combined with the theory of the \The law both for diabetes pathogenesis hot - oriented , but also directly for high blood sugar , while on blood lipids , weight, blood pressure , etc. , other metabolic abnormalities factors affect blood sugar control integrated regulation , the method for treating the symptoms . In this study, by building the database of the diabetic structured information collection spot disease of diabetes cases outpatient collected data , and entered into the database , before and after treatment glycosylated hemoglobin (HbAlc) value decreased by 0.4 % or fasting blood glucose (FBG) values ??decline 1mmol / L efficacy criteria for effective treatment of cases screened 1321 cases ( 3021 clinics ) , through data mining system , screened applications bitter acid , sweet medicine on the cases of 945 cases ( 1886 clinics ) , in turn based on the data , based on disease module, using cluster analysis , association rules , and a scale - free network model analysis based on association rules data mining method summarizes clinical mentor with Professor Kobayashi commonly - bitter acid sweet medicine corresponding symptoms , syndromes , and he compatibility Law of the drug , and analyzed by SPSS14.0 statistical analysis software commonly used bitter acid sweet drug dose frequency distribution summarizes each of the herbs used in the clinic effective therapeutic dose , simultaneous analysis of the different blood glucose levels Coptis dose The application of the law . Which summarized the clinical experience of the instructors enhance the clinical value of diabetes treatment method available to promote application of the theory , not only of great significance to improve the clinical efficacy of Chinese medicine to treat diabetes , and also provides a guideline for Chinese medicine clinical development of new drugs .