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In this paper, an optimal resource allocation framework is proposed for the allocation of critical medical resources among different units during a pandemic. The framework is developed by considering the dynamics of Pandemic, hierarchical…

Systems and Control · Electrical Eng. & Systems 2022-03-14 Shuvrangshu Jana , Rudrashis Majumder , Debasish Ghose

The COVID-19 pandemic has placed immense strain on hospital systems worldwide, leading to critical capacity challenges. This research proposes a two-part framework to optimize hospital capacity through patient relocation strategies. The…

Artificial Intelligence · Computer Science 2026-03-18 Sadaf Tabatabaee , Hicham El Baz , Mohammed Khalil Ghali , Nagendra N. Nagarur

After admission to emergency department (ED), patients with critical illnesses are transferred to intensive care unit (ICU) due to unexpected clinical deterioration occurrence. Identifying such unplanned ICU transfers is urgently needed for…

Machine Learning · Computer Science 2021-02-10 Chun-An Chou , Qingtao Cao , Shao-Jen Weng , Che-Hung Tsai

Space agencies and private companies prepare the beginning of human space exploration for the 2030s with missions to put the first human on the Mars surface. The absence of gravity and radiation, along with distance, isolation and hostile…

Computers and Society · Computer Science 2021-03-02 Juan M Garcia-Gomez

The maintenance of system flow is critical for effective network operation. Any type of disruption to network facilities (arcs/nodes) potentially risks loss of service, leaving users without access to important resources. It is therefore an…

Data Analysis, Statistics and Probability · Physics 2010-06-29 Timothy C. Matisziw , Alan T. Murray

Healthcare programs such as Medicaid provide crucial services to vulnerable populations, but due to limited resources, many of the individuals who need these services the most languish on waiting lists. Survival models, e.g. the Cox…

Machine Learning · Computer Science 2020-10-15 Kamrun Naher Keya , Rashidul Islam , Shimei Pan , Ian Stockwell , James R. Foulds

Long-term care service for old people is in great demand in most of the aging societies. The number of nursing homes residents is increasing while the number of care providers is limited. Due to the care worker shortage, care to vulnerable…

Machine Learning · Statistics 2023-03-14 Gi-Soo Kim , Young Suh Hong , Tae Hoon Lee , Myunghee Cho Paik , Hongsoo Kim

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

Homeland security in the United States faces a daunting task due to the multiple threats and hazards that can occur. Natural disasters, human-caused incidents such as terrorist attacks, and technological failures can result in significant…

Computers and Society · Computer Science 2025-04-04 Parastoo Akbari , Cameron A. MacKenzie

Optimization of patient throughput and wait time in emergency departments (ED) is an important task for hospital systems. For that reason, Emergency Severity Index (ESI) system for patient triage was introduced to help guide manual…

Computers and Society · Computer Science 2018-04-11 Djordje Gligorijevic , Jelena Stojanovic , Wayne Satz , Ivan Stojkovic , Kathrin Schreyer , Daniel Del Portal , Zoran Obradovic

Critical infrastructure is vulnerable to a broad range of hazards. Timely and effective recovery of critical infrastructure after extreme events is crucial. However, critical infrastructure disaster recovery planning is complicated and…

Human-Computer Interaction · Computer Science 2018-11-16 Abbas Ganji , Scott Miles

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

The functioning of interdependent civil infrastructure systems in the aftermath of a disruptive event is critical to the performance and vitality of any modern urban community. Post-event stressors and chaotic circumstances, time…

Computers and Society · Computer Science 2018-06-25 Saeed Nozhati , Bruce R. Ellingwood , Hussam Mahmoud , Yugandhar Sarkale , Edwin K. P. Chong , Nathanael Rosenheim

The lack of a comprehensive decision-making approach at the community level is an important problem that warrants immediate attention. Network-level decision-making algorithms need to solve large-scale optimization problems that pose…

Optimization and Control · Mathematics 2018-10-02 Saeed Nozhati , Yugandhar Sarkale , Bruce Ellingwood , Edwin K. P. Chong , Hussam Mahmoud

In this paper we provide a mathematical programming based decision tool to optimally reallocate and share equipments between different units in emergency situations under lack of resources. The approach is motivated by the COVID-19 pandemic…

Optimization and Control · Mathematics 2024-09-11 Víctor Blanco , Ricardo Gázquez , Marina Leal

The current best practice approach for the retrospective diagnosis of adverse drug events (ADEs) in hospitalized patients relies on a full patient chart review and a formal causality assessment by multiple medical experts. This evaluation…

Capturing the inter-dependencies among multiple types of clinically-critical events is critical not only to accurate future event prediction, but also to better treatment planning. In this work, we propose a deep latent state-space…

Machine Learning · Computer Science 2024-07-30 Yuan Xue , Denny Zhou , Nan Du , Andrew M. Dai , Zhen Xu , Kun Zhang , Claire Cui

Responding rapidly to a patient who is demonstrating signs of imminent clinical deterioration is a basic tenet of patient care. This gave rise to a patient safety intervention philosophy known as a Rapid Response System (RRS), whereby a…

Machine Learning · Computer Science 2021-02-12 Laleh Jalali , Hsiu-Khuern Tang , Richard H. Goldstein , Joaqun Alvarez Rodrguez

In the aftermath of an extreme natural hazard, community residents must have access to functioning food retailers to maintain food security. Food security is dependent on supporting critical infrastructure systems, including electricity,…

Computational Engineering, Finance, and Science · Computer Science 2018-05-16 Saeed Nozhati , Yugandhar Sarkale , Bruce R. Ellingwood , Edwin K. P. Chong , Hussam Mahmoud

Acute kidney injury (AKI) is a serious clinical condition that affects up to 20% of hospitalised patients. AKI is associated with short term unplanned hospital readmission and post-discharge mortality risk. Patient risk and healthcare…

Machine Learning · Computer Science 2024-10-24 Flavio S. Correa da Silva , Simon Sawhney