Demand forecasting for platelet usage: From univariate time series to multivariable models
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DOI: 10.1371/journal.pone.0297391
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References listed on IDEAS
- Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of the Augmented Dickey-Fuller Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 277-280, July.
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- Twumasi, Clement & Twumasi, Juliet, 2022. "Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1258-1277.
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Cited by:
- Maryam Motamedi & Jessica Dawson & Na Li & Douglas Down, 2025. "Blood platelet inventory management: Incorporating data-driven demand forecasts," Health Care Management Science, Springer, vol. 28(2), pages 191-206, June.
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