If a donor is not a good match for a kidney transplant recipient, the donor/recipient pair can be combined with other pairs to find a sequence of pairings that is more effective. The group of donor/recipient pairs, with information on the potential effectiveness of each match, forms a weighted bipartite graph. The Hungarian Algorithm allows us to find an optimal matching for such a graph, but the optimal outcome for the group might not be the most equitable for the individual patients involved. We examine several modifications to the Hungarian method which consider a balance between the optimal score for the group and the most uniformly equitable score for the individuals
We design a flexible algorithm that exploits deceased donor kidneys to initiate chains of living do...
Matching people to their preferences is an algorithmic topic with real world applications. One such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113739/1/ajt13413.pd
The problem to decide which patient-donor pairs in a kidney exchange program should undergo a cross...
Kidney transplantation is the treatment of choice for patients with end-stage renal disease (ESRD). ...
Nowadays, the preferred treatment option offered to patients with an end-stage renal disease is to r...
Kidney exchanges enable transplants when a pair of a patient and an incompatible donor is matched wi...
Background: To expand the opportunity for paired live donor kidney transplantation, computerized mat...
An evolving strategy known as kidney paired donation (KPD) matches one donor-candidate pair to anoth...
As of May 2014 there were more than 100,000 patients on the waiting list for a kidney transplant fro...
The old concept of barter exchange has extended to the modern area of living-donor kidney transplant...
In recent years, kidney paired donation has been extended to include living non-directed or altruist...
We study the computational problem of identifying optimal sets of kidney exchanges in the UK. We sh...
We study the computational problem of identifying optimal sets of kidney exchanges in the UK. We sho...
This thesis makes a contribution to matching theory and mechanism design. It consists of four self-c...
We design a flexible algorithm that exploits deceased donor kidneys to initiate chains of living do...
Matching people to their preferences is an algorithmic topic with real world applications. One such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113739/1/ajt13413.pd
The problem to decide which patient-donor pairs in a kidney exchange program should undergo a cross...
Kidney transplantation is the treatment of choice for patients with end-stage renal disease (ESRD). ...
Nowadays, the preferred treatment option offered to patients with an end-stage renal disease is to r...
Kidney exchanges enable transplants when a pair of a patient and an incompatible donor is matched wi...
Background: To expand the opportunity for paired live donor kidney transplantation, computerized mat...
An evolving strategy known as kidney paired donation (KPD) matches one donor-candidate pair to anoth...
As of May 2014 there were more than 100,000 patients on the waiting list for a kidney transplant fro...
The old concept of barter exchange has extended to the modern area of living-donor kidney transplant...
In recent years, kidney paired donation has been extended to include living non-directed or altruist...
We study the computational problem of identifying optimal sets of kidney exchanges in the UK. We sh...
We study the computational problem of identifying optimal sets of kidney exchanges in the UK. We sho...
This thesis makes a contribution to matching theory and mechanism design. It consists of four self-c...
We design a flexible algorithm that exploits deceased donor kidneys to initiate chains of living do...
Matching people to their preferences is an algorithmic topic with real world applications. One such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113739/1/ajt13413.pd