Adaptation, Comparison and Practical Implementation of Fairness Schemes in Kidney Exchange Programs

Fuente: arXiv
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Main Authors: St-Arnaud, William, Carvalho, Margarida, Farnadi, Golnoosh
Format: Preprint
Published: 2022
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author St-Arnaud, William
Carvalho, Margarida
Farnadi, Golnoosh
author_facet St-Arnaud, William
Carvalho, Margarida
Farnadi, Golnoosh
contents In Kidney Exchange Programs (KEPs), each participating patient is registered together with an incompatible donor. Donors without an incompatible patient can also register. Then, KEPs typically maximize overall patient benefit through donor exchanges. This aggregation of benefits calls into question potential individual patient disparities in terms of access to transplantation in KEPs. Considering solely this utilitarian objective may become an issue in the case where multiple exchange plans are optimal or near-optimal. In fact, current KEP policies are all-or-nothing, meaning that only one exchange plan is determined. Each patient is either selected or not as part of that unique solution. In this work, we seek instead to find a policy that contemplates the probability of patients of being in a solution. To guide the determination of our policy, we adapt popular fairness schemes to KEPs to balance the usual approach of maximizing the utilitarian objective. Different combinations of fairness and utilitarian objectives are modelled as conic programs with an exponential number of variables. We propose a column generation approach to solve them effectively in practice. Finally, we make an extensive comparison of the different schemes in terms of the balance of utility and fairness score, and validate the scalability of our methodology for benchmark instances from the literature.
format Preprint
id arxiv_https___arxiv_org_abs_2207_00241
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Adaptation, Comparison and Practical Implementation of Fairness Schemes in Kidney Exchange Programs
St-Arnaud, William
Carvalho, Margarida
Farnadi, Golnoosh
Optimization and Control
In Kidney Exchange Programs (KEPs), each participating patient is registered together with an incompatible donor. Donors without an incompatible patient can also register. Then, KEPs typically maximize overall patient benefit through donor exchanges. This aggregation of benefits calls into question potential individual patient disparities in terms of access to transplantation in KEPs. Considering solely this utilitarian objective may become an issue in the case where multiple exchange plans are optimal or near-optimal. In fact, current KEP policies are all-or-nothing, meaning that only one exchange plan is determined. Each patient is either selected or not as part of that unique solution. In this work, we seek instead to find a policy that contemplates the probability of patients of being in a solution. To guide the determination of our policy, we adapt popular fairness schemes to KEPs to balance the usual approach of maximizing the utilitarian objective. Different combinations of fairness and utilitarian objectives are modelled as conic programs with an exponential number of variables. We propose a column generation approach to solve them effectively in practice. Finally, we make an extensive comparison of the different schemes in terms of the balance of utility and fairness score, and validate the scalability of our methodology for benchmark instances from the literature.
title Adaptation, Comparison and Practical Implementation of Fairness Schemes in Kidney Exchange Programs
topic Optimization and Control
url https://arxiv.org/abs/2207.00241