Optimisation problems in Healthcare have received considerable attention for more than
three decades. More recently, however, with decreasing birth rates in nearly all of the …

We provide a tutorial on the construction and evaluation of Markov decision processes
(MDPs), which are powerful analytical tools used for sequential decision making under …

We propose a scalable, data-driven method for designing national policies for the allocation
of deceased donor kidneys to patients on a waiting list in a fair and efficient way. We focus …

Living donors are a significant and increasing source of livers for transplantation, mainly
because of the insufficient supply of cadaveric organs. We consider the problem of optimally …

Medical treatment decisions are often sequential and uncertain. Markov decision processes
(MDPs) are an appropriate technique for modeling and solving such stochastic and dynamic …

Objectives: To compare the priorities of the general public, family doctors, and
gastroenterologists in allocating donor livers to potential recipients of liver allograft. Design …

The crux of the kidney allocation problem is the trade-off between clinical efficiency and
equity. We consider a dynamic resource allocation problem with the tri-criteria objective of …

In kidney allocation, transplant candidates may have private information about their
propensity to enjoy good outcomes after transplantation or about their relative expected …

This paper investigates the effect of patient choice on kidney allocation using the following
sequential stochastic assignment model. There are n transplant patients to be allocated n …

The only available therapy for patients with end-stage liver disease is organ transplantation.
In the United States, patients with end-stage liver disease are placed on a waiting list and …