Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a hybrid approaches

Providing fresh blood to keep people in need of blood alive, has always been a main issues of health systems. Right policy-making in this area requires accurate forecasting of blood demand. The current study aimed at predicting demand for different blood groups in Shiraz using Auto Regressive Integr...

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Detalles Bibliográficos
Autores principales: Sarvestani, Seddigheh Edalat, Hatam, Nahid, Seif, Mozhgan, Kasraian, Leila, Lari, Fazilat Sharifi, Bayati, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767396/
https://www.ncbi.nlm.nih.gov/pubmed/36539511
http://dx.doi.org/10.1038/s41598-022-26461-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767396/
https://www.ncbi.nlm.nih.gov/pubmed/36539511
http://dx.doi.org/10.1038/s41598-022-26461-y

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