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Updated: Jul 25, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
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A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

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一个数据驱动的优化模型来应对COVID-19大流行:一个案例研究.

Amin Eshkiti1, Fatemeh Sabouhi1, Ali Bozorgi-Amiri1

  • 1School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Annals of operations research
|June 26, 2023
PubMed
概括

这项研究开发了一种使用人工神经网络和随机编程来优化COVID-19患者管理医院供应链的双相方法. 该模型有效地分配资源并最大限度地减少疾病传播,确保在中断期间的服务连续性.

关键词:
人工神经网络的人工神经网络在COVID-19大流行中,数据驱动的双阶段随机编程.药物的分发 药物的分发废物管理 废物管理

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