Abstract: In order to help the blood center make a reasonable plan, this paper analyzes the total amount of clinical blood and the changing trend of various blood components according to the clinical blood data from 2005 year to 2016 year collected by Jiangxi Province Blood Center, and predicts the clinical blood demand in every month of 2016 year based on the LSTM network model. Experimental result shows that, compared with the traditional ARIMA model, the LSTM network established in this paper can effectively predict the change of clinical blood demand and obtain more accurate prediction results.

Key words:  clinical blood, demand forecast, LSTM network