Abstract: ObjectiveTo analysis the regular pattern of using RBC class dosage for clinical use in Handan area, trying to set up the optimal mathematical model and make predictions. Then provide guidance for blood agencies’ work related business. MethodsCreating a dataset of the amount of clinical supplying red blood cells from January 2002 to December 2013 in Handan City with the support of Epidata3.0 double-lines input data system and then import it to IBM SPSS Statistics 21. Setting up a mathematical model for clinical using blood volume with curvilinear regression and expert modelers from which the optimal one is selected. Finally, reusing the model to predict clinical blood volume, and verify it. ResultsThe highest R2 of curve regression equation as the cubic polynomial function. R2=0.947, P<0.05, fitting equation =2 413.906+83.189X-0.602 X2+0.004X3. Expert modelers advised the model of ARIMA (0,1,1) (0,1,1). The five models of residual white noise test results have shown the P>0.05, instructions residuals all was white noise sequence, all models were extracted from the original sequence data information and passed the model diagnosis. With the two models respectively predict clinical using blood volume from January to June,2014, the relative error of ARIMA (0,1,1) (0,1,1) model prediction is within 5%; the one of cubic equation model, predicting the deflection, went up to 14.68%. ARIMA model is superior to the cubic equation model. ConclusionThrough the establishment of mathematical model, adding the follow-up data, blood agencies can scientifically predict the trend of using blood volume and reasonably guide the corresponding business work.

Key words: Blood, for, clinical, use, Red, blood, cells, class, Mathematical, model, To, predict