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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

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