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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 allocation system of the United States, which includes a large…

Optimization and Control · Mathematics 2023-09-19 Shukai Li , Sanjay Mehrotra

We propose a simulation-optimization-based methodology to improve the way that organ transplant offers are made to potential recipients. Our policy can be applied to all types of organs, is implemented starting at the local level, is…

Medical Physics · Physics 2022-12-01 Ignacio Erazo , David Goldsman , Pinar Keskinocak , Joel Sokol

Heart transplantation is a viable path for patients suffering from advanced heart failure, but this lifesaving option is severely limited due to donor shortage. Although the current allocation policy was recently revised in 2018, a major…

Machine Learning · Computer Science 2025-12-16 Ioannis Anagnostides , Zachary W. Sollie , Arman Kilic , Tuomas Sandholm

It is well known that in a firm real time system with a renewal arrival process, exponential service times and independent and identically distributed deadlines till the end of service of a job, the earliest deadline first (EDF) scheduling…

Operating Systems · Computer Science 2015-03-17 Sudipta Das , Lawrence Jenkins , Debasis Sengupta

We study the problem of allocating scarce societal resources of different types (e.g., permanent housing, deceased donor kidneys for transplantation, ventilators) to heterogeneous allocatees on a waitlist (e.g., people experiencing…

Optimization and Control · Mathematics 2025-08-13 Bill Tang , Çağıl Koçyiğit , Eric Rice , Phebe Vayanos

Each year, thousands of patients in need of heart transplants face life-threatening wait times due to organ scarcity. While allocation policies aim to maximize population-level outcomes, current approaches often fail to account for the…

Machine Learning · Computer Science 2026-02-10 Itai Zilberstein , Ioannis Anagnostides , Zachary W. Sollie , Arman Kilic , Tuomas Sandholm

In this paper I have study to Reduce the time Complexity of Earliest Deadline First (EDF), a global scheduling scheme for Earliest Deadline First in Real Time System tasks on a Multiprocessors system. Several admission control algorithms…

Data Structures and Algorithms · Computer Science 2011-01-04 Jagbeer Singh

Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized for transplantation based on the allocation rules of the Eurotransplant Kidney Allocation System (ETKAS) and Eurotransplant Senior Program…

Computers and Society · Computer Science 2025-02-24 H. C. de Ferrante , Rocio Laguna Goya , Bart M. L. Smeulders , Frits C. R. Spieksma , Ineke Tieken

This paper deals with the study of Earliest Deadline First (EDF) which is an optimal scheduling algorithm for uniprocessor real time systems use for scheduling the periodic task in soft real-time multiprocessor systems. In hard real-time…

Operating Systems · Computer Science 2012-05-02 Jagbeer Singh , Satyendra Prasad Singh

An increasing number of real-time applications with compute and/or communication deadlines are being supported on shared infrastructure. Such applications can often tolerate occasional deadline violations without substantially impacting…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

Currently in the United States, lung transplantations are allocated to candidates according to the candidates' Lung Allocation Score (LAS). The LAS is an ad-hoc ranking system for patients' priorities of transplantation. The goal of this…

Applications · Statistics 2020-04-20 Jingjing Zou , David J. Lederer , Daniel Rabinowitz

Decisions about managing patients on the heart transplant waitlist are currently made by committees of doctors who consider multiple factors, but the process remains largely ad-hoc. With the growing volume of longitudinal patient, donor,…

Applications · Statistics 2025-07-11 Yingtao Luo , Reza Skandari , Carlos Martinez , Arman Kilic , Rema Padman

A priority system has traditionally been the protocol of choice for the allocation of scarce life-saving resources during public health emergencies. Covid-19 revealed the limitations of this allocation rule. Many argue that priority systems…

Theoretical Economics · Economics 2023-07-04 Parag A. Pathak , Tayfun Sönmez , M. Utku Ünver , M. Bumin Yenmez

The allocation of scarce donor organs constitutes one of the most consequential algorithmic challenges in healthcare. While the field is rapidly transitioning from rigid, rule-based systems to machine learning and data-driven optimization,…

Machine Learning · Computer Science 2026-05-27 Ioannis Anagnostides , Itai Zilberstein , Zachary W. Sollie , Arman Kilic , Tuomas Sandholm

Emergency department (ED) overcrowding and patient boarding represent critical systemic challenges that compromise care quality. We propose a threshold-based admission policy that redirects non-urgent patients to alternative care pathways,…

Performance · Computer Science 2026-01-16 Sahba Baniasadi , Paul M. Griffin , Prakash Chakraborty

Scarcity of health care resources could result in the unavoidable consequence of rationing. For example, ventilators are often limited in supply, especially during public health emergencies or in resource-constrained health care settings,…

Machine Learning · Computer Science 2024-08-23 Yikuan Li , Chengsheng Mao , Kaixuan Huang , Hanyin Wang , Zheng Yu , Mengdi Wang , Yuan Luo

Decision making problems are typically concerned with maximizing efficiency. In contrast, we address problems where there are multiple stakeholders and a centralized decision maker who is obliged to decide in a fair manner. Different…

Optimization and Control · Mathematics 2022-12-21 Andrea Lodi , Philippe Olivier , Gilles Pesant , Sriram Sankaranarayanan

Kidney transplants are sharply overdemanded in the United States. A recent innovation to address organ shortages is a kidney exchange, in which willing but medically incompatible patient-donor pairs swap donors so that two successful…

Computer Science and Game Theory · Computer Science 2019-12-24 Irena Gao

Kidney transplantation is the preferred treatment for end-stage renal disease, yet the scarcity of donors and inefficiencies in allocation systems create major bottlenecks, resulting in prolonged wait times and alarming mortality rates.…

Computer Science and Game Theory · Computer Science 2024-10-15 Sean Berry , Berk Gorgulu , Sait Tunc , Mucahit Cevik , Matthew J Ellis

Liver transplantation continues to be the gold standard for treating patients with end-stage liver diseases. However, despite the huge success of liver transplantation in improving patient outcomes, long term graft survival continues to be…

Other Quantitative Biology · Quantitative Biology 2023-06-02 Raja Al-Bahou , Julia Bruner , Helen Moore , Ali Zarrinpar
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