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pro vyhledávání: '"Ilbin Lee"'
Autor:
Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister, Raj Padwal
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor in
Externí odkaz:
https://doaj.org/article/72a99919169140dbba0b140c56db4da1
Autor:
Ilbin Lee
Publikováno v:
Operations Research.
When applying decision models, we often estimate input parameters using data. In healthcare and some other applications, data are collected from a population of different entities, such as patients. Thus, one faces a modeling question of whether to e
Publikováno v:
European Journal of Operational Research. 296:44-59
Sensitivity analysis and multiparametric programming in optimization modeling study variations of optimal value and solutions in the presence of uncertain input parameters. In this paper, we consider simultaneous variations in the inputs of the objec
Publikováno v:
Eur J Oper Res
This paper studies computational approaches for solving large-scale optimization problems using a Lagrangian dual reformulation, solved by parallel sub-gradient methods. Since there are many possible reformulations for a given problem, an important q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa0c5906b2a0283d492a1b8c835438b1
https://europepmc.org/articles/PMC8754397/
https://europepmc.org/articles/PMC8754397/
Publikováno v:
INFORMS Journal on Computing. 31:302-317
Solving a large batch of linear programs (LPs) with varying parameters is needed in stochastic programming and sensitivity analysis, among other modeling frameworks. Solving the LPs for all combinations of given parameter values, called the brute-for
Publikováno v:
European Journal of Operational Research. 270:898-906
In high-dimensional optimization problems where a large number of decisions need to be made, the resulting solution may exhibit high sensitivity to perturbations in the input parameters, which hinders reliable decision-making. This is particularly pr
Publikováno v:
Health Services Research. 53:3592-3616
Objective To quantify the impact of multiyear utilization of preventive dental services on downstream dental care utilization and expenditures for children. Data sources/study setting We followed 0.93 million Medicaid-enrolled children who were 3-6 y
Publikováno v:
Operations Research. 65:1029-1042
We consider discounted Markov decision processes (MDPs) with countably-infinite state spaces, finite action spaces, and unbounded rewards. Typical examples of such MDPs are inventory management and queueing control problems in which there is no speci
Publikováno v:
Operations Research Letters. 42:238-245
We study infinite-horizon nonstationary Markov decision processes with discounted cost criterion, finite state space, and side constraints. This problem can equivalently be formulated as a countably infinite linear program (CILP), a linear program wi