Comparison of the effects of three time series models in predicting the trend of erythrocyte blood demand

Comparison of the effects of three time series models in predicting the trend of erythrocyte blood demand

[Objective] To analyse and predict the tendencies of using erythrocyte blood in Changsha based on the autoregressive integrated moving average (ARIMA) model, long short-term memory (LSTM) and ARIMA-LSTM combination model, so as to provide reliable basis for designing a feasible and effective blood i...

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Bibliographic Details
Main Authors: QIU Yajuan, ZHANG Jianping, LUO Jia, LI Peilin, LUO Mengzhuo, LI Qiongying, LIU Ge, LEI Qing, LIAO Kai
Format: Article
Language:zho
Published: Institute of Blood Transfusion of Chinese Academy of Medical Sciences 2025-02-01
Series:Zhongguo shuxue zazhi
Subjects:
arima model
lstm model
arima-lstm model
demand/prediction
erythrocyte
Online Access:https://www.cjbt.cn/thesisDetails#10.13303/j.cjbt.issn.1004-549x.2025.02.016&lang=en
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https://www.cjbt.cn/thesisDetails#10.13303/j.cjbt.issn.1004-549x.2025.02.016&lang=en

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