An Optimal Equitable Matching Algorithm and Modeling

Chendan, Yuxueyong
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Abstract

This article studied on the optimal model of kidney exchange policy. Analysis yielded several bottleneck factors that affect the efficiency in the process of matching access of the kidney transplantation: ABO Blood Type, Age, Waiting time, kidney quality, etc. Taking into consideration of these factors, we developed a mathematical model of game theory and statistical method to measure the overall effectiveness of the match. This model is slightly improved by adjusting fairness policies.
一种最优公平匹配算法及建模
本文对肾脏交换政策的最优模型进行了研究。分析得出影响肾移植配型获得效率的几个瓶颈因素:ABO血型、年龄、等待时间、肾脏质量等。考虑到这些因素,我们开发了一个博弈论的数学模型和统计方法来衡量比赛的整体有效性。通过调整公平政策,该模型略有改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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