Decision Making in Kidney Paired Donation Programs with Altruistic Donors.

Pub Date : 2014-01-01
Yijiang Li, Peter X-K Song, Alan B Leichtman, Michael A Rees, John D Kalbfleisch
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Abstract

In recent years, kidney paired donation (KPD) has been extended to include living non-directed or altruistic donors, in which an altruistic donor donates to the candidate of an incompatible donor-candidate pair with the understanding that the donor in that pair will further donate to the candidate of a second pair, and so on; such a process continues and thus forms an altruistic donor-initiated chain. In this paper, we propose a novel strategy to sequentially allocate the altruistic donor (or bridge donor) so as to maximize the expected utility; analogous to the way a computer plays chess, the idea is to evaluate different allocations for each altruistic donor (or bridge donor) by looking several moves ahead in a derived look-ahead search tree. Simulation studies are provided to illustrate and evaluate our proposed method.

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无私献血者肾脏配对捐献计划的决策。
近年来,肾脏配对捐赠(KPD)已扩展到包括非定向或利他的活体捐赠者,其中利他捐赠者捐赠给不相容的供体-候选人,并理解该对捐赠者将进一步捐赠给第二对候选人,依此类推;这样的过程持续下去,从而形成了一个利他的捐助者发起的链。本文提出了一种以期望效用最大化为目标的顺序分配利他捐赠者(或桥梁捐赠者)的新策略;类似于计算机下棋的方式,其思想是通过在派生的前瞻性搜索树中提前查看几步来评估每个利他捐赠者(或桥牌捐赠者)的不同分配。仿真研究提供了说明和评估我们提出的方法。
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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