We review the literature on individual patient organ acceptance decision making by
presenting a Markov Decision Process (MDP) model to formulate the organ acceptance …

We study the problem of equitably and efficiently allocating an arriving resource to multiple
queues with customer abandonment. The problem is motivated by the cadaveric liver …

Incompatibility between patient and donor is a major barrier in kidney transplantation (KT).
The increasing shortage of kidney donors has driven the development of desensitization …

We consider a stopping problem and its application to the decision-making process
regarding the optimal timing of organ transplantation for individual patients. At each decision …

Repeated decision-making problems in the context of uncertainty naturally arise in
healthcare settings. Markov decision processes (MDPs) have proven useful in many …

Economists often estimate economic models on data and use the point estimates as a stand-
in for the truth when studying the model's implications for optimal decision-making. This …

Physicians and patients are always facing critical situations where they have alternative
actions, and they have to choose the appropriate one in order to get the best outcome …

Stochastic dynamic optimization methods are powerful mathematical tools for informing
sequential decision-making in environments where the outcomes of decisions are uncertain …

Markov decision processes (MDPs) are mathematical models of sequential decision-making
under uncertainty that have found applications in evaluating and optimizing medical …

System Verification is an important task to do before building any information and
communication system. System verification is the process of checking that such a system …