Price of Fairness in Kidney Exchange

Abstract

Kidney exchange provides a life-saving alternative to long waiting lists for patients in need of a new kidney. Fielded exchanges typically match under utilitarian or near-utilitarian rules; this approach marginalizes certain classes of patients. In this paper, we focus on improving access to kidneys for highly-sensitized, or hard-to-match patients. Toward this end, we formally adapt a recently introduced measure of the tradeoff between fairness and efficiency--the price of fairness--to the standard kidney exchange model. We show that the price of fairness in the standard theoretical model is small. We then introduce two natural definitions of fairness and empirically explore the tradeoff between matching more hard-to-match patients and the overall utility of a utilitarian matching, on real data from the UNOS nationwide kidney exchange and simulated data from each of the standard kidney exchange distributions.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2014
Accession Number
ADA601740

Entities

People

  • Ariel D. Procaccia
  • John P. Dickerson
  • Tuomas Sandholm

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Behavioral Sciences
  • Blood Groups
  • Computer Science
  • Distribution Functions
  • Efficiency
  • Law
  • Multiagent Systems
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Standards
  • United States
  • Weighting Functions

Fields of Study

  • Computer science
  • Economics

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Cardiovascular Physiology
  • Parallel and Distributed Computing.