Optimal Kidney Exchange with Immunosuppressants
Haris Aziz () and
Agnes Cseh ()
Additional contact information
Haris Aziz: School of Computer Science and Engineering, UNSW
Agnes Cseh: Institute of Economics, Centre for Economic and Regional Studies
No 1915, CERS-IE WORKING PAPERS from Institute of Economics, Centre for Economic and Regional Studies
Abstract:
Potent immunosuppressant drugs suppress the body’s ability to reject a transplanted organ up to the point that a transplant across blood- or tissue-type incompatibility becomes possible. In contrast to the standard kidney exchange problem, our setting also involves the decision about which patients receive from the limited supply of immunosuppressants that make them compatible with originally incompatible kidneys. We firstly present a general computational framework to model this problem. Our main contribution is a range of efficient algorithms that provide flexibility in terms of meeting meaningful objectives. We also show that these algorithms satisfy desirable axiomatic and strategic properties.
Keywords: kidney exchange; immunosuppressant drugs; matching; complexity (search for similar items in EconPapers)
JEL-codes: C63 C78 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2019-09
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mtakti.hu/wp-content/uploads/2019/09/MTDP1915.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:has:discpr:1915
Access Statistics for this paper
More papers in CERS-IE WORKING PAPERS from Institute of Economics, Centre for Economic and Regional Studies Contact information at EDIRC.
Bibliographic data for series maintained by Nora Horvath ( this e-mail address is bad, please contact ).