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Applications of grey prediction model for quantity prediction of medical supplies: A case study

机译：灰色预测模型在医疗物资数量预测中的应用：案例研究

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摘要

As an important method for modern scientific management, accurate prediction is the precondition of policy and decision making. In this paper, the metabolic sub-sequence of GM(1,1), the topological order sub-sequence of GM(1,1), and the grey series in head position sub-sequence of GM(1,1) were used to forecast the medical oxygen consumption. A rolling check method was applied to examine the prediction accuracy of the model. The result showed that the metabolic sub-sequence of GM(1,1) provided the best prediction accuracy, which may provide valuable information for optimizing purchase management and inventory control.
机译：准确的预测是现代科学管理的重要手段，是决策和决策的前提。本文使用了GM（1,1）的代谢子序列，GM（1,1）的拓扑顺序子序列以及GM（1,1）头部位置子序列的灰色序列预测医疗用氧量。应用滚动检查方法检查模型的预测准确性。结果表明，GM（1,1）的代谢子序列提供了最佳的预测准确性，这可能为优化采购管理和库存控制提供有价值的信息。

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