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Updated: Jun 24, 2025

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通过使用神经网络元模型进行基于模拟的多目标优化,在急诊室管理低急性患者

Marco Boresta1, Tommaso Giovannelli2, Massimo Roma3

  • 1Institute for System Analysis and Computer Science "A. Ruberti", National Research Council of Italy, via dei Taurini, 19, Rome, 00185, Italy.

Health care management science
|June 10, 2024
PubMed
概括

这项研究优化了急诊室 (ED) 对低急性患者的快速通道,以减少过度拥挤. 使用人工神经网络的一种新的元建模方法有效地减少了患者的等待时间和运营成本.

关键词:
离散事件模拟 离散事件模拟紧急情况部门快速通道.机器学习 机器学习这是一个超级模型.多目标优化多目标优化神经网络的神经网络的神经网络基于模拟的优化优化

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