使:

Maryam Motamedi1, Jessica Dawson1, Na Li1,2,3

  • 1Department of Computing and Software, McMaster University, Hamilton, Ontario, Canada.

PloS one
|April 23, 2024
PubMed
概括

管理血小板供应是具有挑战性的,因为高成本和短的保质期. 这项研究使用机器学习和时间序列方法开发了一种高效的血小板需求预测模型,发现多变量方法最准确.

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