ABSTRACT
Objective To explore suitable pre-processing methods for the TCM clinical data based on prospective study on insomnia treated by syndrome differentiation. Methods Based on the TCM shared clinical and research information platform and by using man-machine combination method, data cleaning rules, physician review, rule revision, procedural import and batch processing were used to conduct pre-processing for data in prospective study on insomniac treated by syndrome differentiation of 8 TCM doctors. Results Totally 27534 rules for symptoms data of individual treatment of insomnia were made and 1036 rules for diagnostic data, 842 rules for therapeutic ways, 540 rules for formula data, 3785 rules for data of Chinese materia medica. Conclusion Different kinds of terminology concepts were normalized at different levels, at the same time, characteristics of individualized treatment based on syndrome differentiation were reserved. Appropriate pre-processing methods can be used in the reaserch of individualization and standardization of TCM syndrome differentiation clinical data and can provide support for data mining.
ABSTRACT
Objective To evaluate the predictive value of uric acid (UA) on type 2 diabetes mellitus (DM).Methods 711 subjects aged 45-60 years old with normal fasting blood glucose (FBG) were studied in 1992.The subjects were divided into 2 groups according to their 1992 UA data in the normal UA group and in the hyperuricemia (HUA) group.We analyzed the prevalence of DM-2 in 2007 according to data on UA in 1992.Relative risk (RR) of the cohort was calculated under x2 test and logistic regression analysis.Results FBG and the prevalence rate of DM in 2007 in the HUA group were statistically higher than those in the normal group.The relative risk (RR) of HUA to DM was 3.749 (P=0.000),with 95％ Confidence interval (CI) as 2.387-5.890.Data from the logistic regression analysis,after adjusting for other risk factors,the RR of UA to DM was 1.426 (P＝0.003),with 95％ CI as 1.173-1.705.Conclusion The abnormal UA was closely related to glucose metabolism disorder while hyperuricemia appeared to be associated with increased risk of type 2 DM.