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 …

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 …

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 …

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 …

Differential Diagnosis: Models, Heuristics, and Bounds

S Singh, S Deo, S Kunnumkal - Indian School of Business WP, 2022 - papers.ssrn.com
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 …

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 …

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 …

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 …

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 …