Optimal unlabeled set partitioning with application to risk-based quarantine policies
J Lin, H Aprahamian, H El-Amine - IISE Transactions, 2024 - Taylor & Francis
We consider the problem of partitioning a set of items into unlabeled subsets so as to
optimize an additive objective, ie, the objective function value of a partition is equal to the …
optimize an additive objective, ie, the objective function value of a partition is equal to the …
Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes
J Lin, H Aprahamian, G Golovko - Naval Research Logistics …, 2024 - Wiley Online Library
We study the problem of designing optimal targeted mass screening of non‐uniform
populations. Mass screening is an essential tool that is widely utilized in a variety of settings …
populations. Mass screening is an essential tool that is widely utilized in a variety of settings …
An optimization framework for large-scale screening under limited testing capacity with application to COVID-19
J Lin, H Aprahamian, G Golovko - Health Care Management Science, 2024 - Springer
We consider the problem of targeted mass screening of heterogeneous populations under
limited testing capacity. Mass screening is an essential tool that arises in various settings …
limited testing capacity. Mass screening is an essential tool that arises in various settings …
A heuristic scheme for multivariate set partitioning problems with application to classifying heterogeneous populations for multiple binary attributes
H El-Amine, H Aprahamian - IISE transactions, 2022 - Taylor & Francis
We provide a novel heuristic approach to solve a class of multivariate set partitioning
problems in which each item is characterized by three attribute values. The scheme first …
problems in which each item is characterized by three attribute values. The scheme first …
Differential Diagnosis: Models, Heuristics, and Bounds
Physicians regularly face the challenge of differential diagnosis, ie, differentiating between
diseases with similar symptoms. As a first step, a physician forms an initial belief for each …
diseases with similar symptoms. As a first step, a physician forms an initial belief for each …
Strategies for Effective Mitigation of Infectious Diseases, with Focus on COVID-19
MJ Rabil - 2024 - vtechworks.lib.vt.edu
We present a comprehensive approach to designing and optimizing infectious disease
mitigation strategies, with a focus on COVID-19 and closed communities like college …
mitigation strategies, with a focus on COVID-19 and closed communities like college …
Set Partitioning: Applications in Health Care
H Aprahamian, H El-Amine - Encyclopedia of Optimization, 2022 - Springer
The set partitioning problem (SPP) is the task of partitioning a finite set of items in a manner
that optimizes a certain objective function. For a given finite set made up of N∈ N+ items …
that optimizes a certain objective function. For a given finite set made up of N∈ N+ items …
Data-Driven Optimization of Patient Pathways for Healthcare Delivery
S Singh - 2022 - search.proquest.com
NORTHWESTERN UNIVERSITY Data-Driven Optimization of Patient Pathways for
Healthcare Delivery A DISSERTATION SUBMITTED TO THE GRA Page 1 …
Healthcare Delivery A DISSERTATION SUBMITTED TO THE GRA Page 1 …
Capturing the dilution effect of risk‐based grouping with application to COVID‐19 screening
S Chatterjee, H Aprahamian - Naval Research Logistics (NRL), 2022 - Wiley Online Library
We investigate the problem of screening a large population for an infectious disease (ie,
classifying subjects as positive or negative) using group testing while considering important …
classifying subjects as positive or negative) using group testing while considering important …