| Research summariesThe treatment after syndrome differentiation is the characteristic and essence of the traditional chinese medicine, and it is also the main research contents of TCM diagnostics. TCM syndrome differentiation standard research, for developing chinese medicine theory and improve the clinical treatment level, has the extremely vital significance. At present, chinese medicine dialectical specifications, lack of standard of TCM syndrome differentiation method has been many use statistical methods and logic analysis method, but due to human experience factors, difficult to get rid of traditional experience mode. Along with the information technology progress, data massive surge, data mining technology arises at the historic moment. Data mining is from a lot of, fuzzy and random data, extract potentially useful information and knowledge of the process of data mining technology in the field of medicine for use for over 10 years, medical theory and clinical research development provides the scientific method in the application of traditional Chinese medicine, but is still at the beginning.For the day after tomorrow, the spleen qi biochemical source, related to human health, and even lives existence. Taste illness in medical problems plays an important role in the spleen syndrome is hot, often witness model, it is a group of spleen can compare various centrally reflects the comprehensive physiological function abnormal manifestation syndrome, visible at many systems, therefore, more from among the disease to spleen with damp and hot card spleen syndrome diagnostic methods of disease of modern research is an important subject of the syndrome differentiation and treatment research, this paper discusses the factors related to damp and hot card and spleen correlation of spleen syndrome, which helps the scientific differentiation, dampness and can be the syndrome differentiation and treatment of traditional chinese medicine to provide the reference.Of uniform standards, to be quantified, objectification. Using data mining technology to quantitative diagnosis of syndromes TCM diagnostics syndrome is digital, objective research in the mainstream of the syndrome differentiation and treatment, the study, to accelerate the effective information into knowledge, promote traditional chinese medicine knowledge quickly update, with unusual significance.Reseach purposeBy using the data mining technology and related algorithm to damp and hot card spleen objectively quantify symptoms related to diagnosis, find out the most valuable diagnostic information, again mining and the meteorological elements of association rules, both for meteorological elements of spleen correlation with damp and hot card provide practice, and combine the contribution of sickness, establish the diagnosis of the dialectical differentiation laws embody mathematical model for the quantitative diagnosis of syndromes provide more reference.Subjects and methodsThe research subjects of this study is clinical information and meteorological information, selected cases come from the first and the second affiliated hospital of hunan university of traditional chinese medicine, and changsha hospital of traditional chinese medicine. Data mining material for January 2007-December of three hospitals in-patients case material 6578 spleen and stomach diseases, including research example dap and hot syndrome 1674 cases and control taste cold empty card 1357 cases, treating hot and humid card 826 cases, other card three seven twenty-one cases, including male 3347 cases, female 3231 example, average age 47.6 years old, is the youngest 16, the biggest 84. Mathematical statistics material for January 2007-December 2009, three of outpatient and ward 58248 cases damp and hot card patients spleen. Meteorological information from hunan province climate center in January 2007 December 2010, temperature, precipitation, relative humidity, air pressure and wind five elements of the statistical data. Model test clinical data in January 2010-December 2010 outpatient three hospitals 18872cases with ward spleen syndrome patients, hot climate centre for hunan meteorological data in January 2010-December 2010 temperature, precipitation, relative humidity, air pressure and wind five elements of the statistical dataResearch method is to establish a questionnaire, the project including cases name, sex, age, diagnosis and spleen deficiency syndrome, spleen, hot cold syndrome and courage hot and humid card related 30 syndrome, namely S1 abdominal sore, S2 often less often full, S3 abdominal pain and stalking rib, S4 pre production,S5 by xi temperature, Starwood,S6 noisy discomfort, S7 pale, yellow, S8 body orders,S9dry mouth mouth bitter, S10 thirsty doesn't lead drinks, S11 vexed hot thirsty, S12KouDan not thirsty, S13 evil, nadia,S14 stay ou less loose stools, S15 defecate smelly shouts, S16 defecate thin, S17 anal heat, S18 body in urgent hind heavy, S19 heavy, and tired body cold, S20 cold extremities form, S21 body dropsy, S22 body heat is weak, and his,S23 urinate short red, S24 red tongue, pale, S25 tongue light,S26 moss yellow greasy, S27 moss white greasy, S28pulse slippery number, S29 pulse string number, S30pulse heavy fine. Database software using Microsoft Visual Foxpro 8.0, will look at the table of project using this program to create a DBF database file. Using data mining technology and methods of mathematical statistics calculation and spleen deficiency syndrome, spleen, hot cold syndrome and courage hot and humid card related symptoms, the diagnosis of each contribution of the biggest contribution to take diagnosis as an original generating yuan sickness calculated, and then combining with the original generating yuan constitute the diagnosis of syndromes group contribution. Comprehensive results and through comparison observation, find out the spleen syndrome diagnostic factor hot. Using research results statistical basically meet the sample, mining study requirements and the correlation of the corresponding meteorological elements, and then establish forecasting model. Comprehensive results and through comparison observation, find out the hot five main spleen syndrome diagnostic factor. Using research results basically satisfy requirements of selecting research, mining and the corresponding sample of the correlation of the meteorological elements, and by using the multiple regression and most YouZi set regression method to set up such as hot prediction model of spleen syndrome,.Reseach resultIn the spleen, according to damp and hot syndrome types in sickness, the diagnosis of type diagnosis contribution materials plays the leading role is respectively:S28 pulse slippery number (22.52), S19 body tired and weight (11.53), S24 red tongue (11.12), S22 body heat and no raise (10.26) and S26 moss yellow greasy (8.57), according to the diagnosis of sickness group contribution, bluff plays the leading role of diagnosis is respectively:S26 and S28 (53.71), S24 and S28(52.75), S19 and S28 (51.2), and S22 and S28 (48.86).In taste cold empty license in the diagnosis, according to the contribution of sickness, bluff plays the leading role of diagnosis is respectively:S12KouDan not thirsty (21.45), S27 moss white greasy (18.78), S5 like being press and warm (12.56), S3 Abdominal sore (11.57) andS25 tongue light (10.79), according to the diagnosis of sickness group contribution, bluff plays the leading role of diagnosis is respectively:S27and S12 (51.13), S25 and S12 (50.57), S5 and S12 (49.16), S3 and S12(48.01)In treating hot and humid license in sickness, according to the diagnosis of type diagnosis bluff contribution, plays the leading role respectively is:S24 red tongue (16.92), S17 anal hotness (13.81), S11 vexed hot thirsty (12.91), S26 moss yellow greasy (9.91) and S29 pulse string(8.96), according to several the diagnosis of sickness group contribution, bluff plays the leading role of diagnosis is respectively:S29and S24 (56.71), S23 and S24 (51.17), S26 and S24 (49.97), S11 and S24(49.93).Taste hot and dap card five diagnosis factors and five meteorological elements correlation coefficient:S28 and temperature, rainfall, and relative humidity, air pressure, wind speed five elements correlation coefficient is respectively:0.94,0.34,-0.26,-0.96,-0.02; S26 and temperature, annual rainfall, relative humidity, air pressure, wind speed five elements correlation coefficient is respectively:0.93,0.31,-0.30,-0.95,-0.01; S24 and temperature, precipitation, relative humidity, air pressure, wind speed five elements correlation coefficient is respectively:0.96,0.29,-0.30,-0.96,0.00; S19 and temperature, precipitation, relative humidity, air pressure, wind speed five elements correlation coefficient is respectively:0.69,0.44,-0.23,-0.82,-0.21; S22 and temperature, precipitation, relative humidity, air pressure, wind speed five elements correlation coefficient is respectively:0.69,0.46,-0.23,-0.82, 0.21. Multiple regression prediction model for 2010 clinical prediction of syndrome, spleen and humid for 3865 example, inspection error the most YouZi set regression forecating model for 2010 dampness of spleen syndrome clinical prediction error for 365 cases inspectionConclusionDamp and hot card up to spleen syndrome is the primary diagnostic function is:S28 pulse slippery number, S26 moss yellow greasy,S24 red tongue, S19 body tired and weight and S22 body heat and no raise. To taste cold empty card plays a main role is:syndrome diagnosis S12KouDan not thirsty, S27 moss white greasy, S5 like being press and warm,S3 abdominal sore,S25 tongue light. For treating hot and humid card plays a main role is a syndrome diagnosis, S24 red tongue, S29 pulse string number, S23 urinate short red yellow,S26 moss yellow greasy and S11 vexed hot thirsty bored. Team taste hot and humid group and control group taste cold empty and courage hot and humid set of results, it is concluded that significant difference about taste hot and humid syndrome diagnosis results with specific factorsFive diagnosis factor and the related temperature, atmospheric pressure, including best S28 pulse slippery number, S26 moss yellow greasy, S24 red tongue and temperature, atmospheric pressure, and the highest correlation coefficients of the related wind is the worst. Most YouZi sets the forecast for symptomatic regression method has better effect.
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