Works Published in 2018

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Displaying works 21 - 24 of 24 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2018 journal article

Ambulance redeployment and dispatching under uncertainty with personnel workload limitations

IISE TRANSACTIONS, 50(9), 777–788.

By: S. Enayati*, O. Ozaltin n, M. Mayorga n & C. Saydam n

Contributors: S. Enayati*, O. Özaltın n, M. Mayorga n & C. Saydam n

author keywords: EMS; workload; two-stage stochastic programming; decomposition algorithm
TL;DR: This work proposes a two-stage stochastic programming model to redeploy and dispatch ambulances to maximize the expected coverage and develops a Lagrangian branch-and-bound algorithm to solve realistic size instances. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2018 journal article

Sparse concordance-assisted learning for optimal treatment decision

Journal of Machine Learning Research, 18.

By: S. Liang, W. Lu, R. Song & L. Wang

Source: NC State University Libraries
Added: August 6, 2018

2018 journal article

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES

ANNALS OF STATISTICS, 46(3), 925–957.

By: C. Shi n, A. Fan n, R. Song n & W. Lu n

author keywords: A-learning; Dantzig selector; NP-dimensionality; model misspecification; optimal dynamic treatment regime; oracle inequality
TL;DR: This paper proposes a penalized multi-stage A-learning for deriving the optimal dynamic treatment regime when the number of covariates is of the non-polynomial (NP) order of the sample size and adopts the Dantzig selector which directly penalizes the A-leaning estimating equations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 review

Models for predicting the evolution of influenza to inform vaccine strain selection

[Review of ]. HUMAN VACCINES & IMMUNOTHERAPEUTICS, 14(3), 678–683.

By: J. Agor n & O. Ozaltin n

Contributors: J. Agor n & O. Özaltın n

author keywords: influenza evolution; prediction models; influenza vaccine; strain selection; antigenic difference; influenza
MeSH headings : Antigens, Viral / immunology; Humans; Influenza Vaccines / immunology; Influenza, Human / immunology; Influenza, Human / prevention & control; Seasons; World Health Organization
TL;DR: The literature on state-of-the-art tools and prediction methodologies utilized in modeling the evolution of influenza to inform vaccine strain selection are reviewed and areas that are open for improvement and need further research are discussed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

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