当前位置: X-MOL 学术arXiv.stat.OT › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Simulation-Optimization Framework To Improve The Organ Transplantation Offering System
arXiv - STAT - Other Statistics Pub Date : 2022-04-22 , DOI: arxiv-2204.11623
Ignacio Erazo, David Goldsman, Pinar Keskinocak

We propose a simulation-optimization-based methodology to improve the way that organ transplant offers are made to potential recipients. Our policy can be applied to all types of organs, is implemented starting at the local level, is flexible with respect to simultaneous offers of an organ to multiple patients, and takes into account the quality of the organs under consideration. We describe in detail our simulation-optimization procedure and how it uses underlying real-world transplant data to inform the decision-making process. We present results using our liver and kidney models, where we show that, under our policy recommendations, more organs are utilized and the required times to allocate the organs are reduced -- sometimes dramatically.

中文翻译:

改进器官移植提供系统的仿真优化框架

我们提出了一种基于模拟优化的方法来改进器官移植提供给潜在接受者的方式。我们的政策适用于所有类型的器官,从地方层面开始实施,在同时向多名患者提供器官方面具有灵活性,并考虑到所考虑器官的质量。我们详细描述了我们的模拟优化过程以及它如何使用底层的真实世界移植数据来为决策过程提供信息。我们使用我们的肝脏和肾脏模型展示了结果,其中我们表明,根据我们的政策建议,更多的器官被利用并且分配器官所需的时间减少 - 有时是显着的。
更新日期:2022-04-22
down
wechat
bug