An optimization framework for analyzing dual‐donor organ exchange
Author:
Affiliation:
1. School of Engineering and Applied Science University of PennsylvaniaPhiladelphia Pennsylvania USA
2. Department of Information and Operations Management Mays Business School Texas A&M University College Station Texas USA
Publisher
Wiley
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.13896
Reference53 articles.
1. Abraham D. J. Blum A. &Sandholm T.(2007).Clearing algorithms for barter exchange markets: Enabling nationwide kidney exchanges. In David Parkes Paul Resnick & Jeff Mackie‐Mason (Eds.) Proceedings of the 8th ACM conference on electronic commerce(pp.295–304) Association for Computing Machinery.https://dl.acm.org/action/showFmPdf?doi=10.1145%2F1250910
2. Market Failure in Kidney Exchange
3. Finding long chains in kidney exchange using the traveling salesman problem
4. Anno H. &Kurino M.(2018).Dual organ markets: Coexistence of living and deceased donors. Working paper Department of Policy and Planning Sciences University of Tsukuba.https://hdl.handle.net/2241/00151065
5. Effect of match-run frequencies on the number of transplants and waiting times in kidney exchange
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