Joseph K. Agor

Works (8)

Updated: April 25th, 2025 12:46

2024 article

Temporal pattern mining for knowledge discovery in the early prediction of septic shock

Li, R., Agor, J. K., & Özaltın, O. Y. (2024, March 18). Pattern Recognition, Vol. 151.

By: R. Li*, J. Agor* & O. Özaltın n 

author keywords: Temporal pattern mining; Feature selection; Electronic health records; Knowledge discovery; Sepsis
topics (OpenAlex): Time Series Analysis and Forecasting; Data Mining Algorithms and Applications; Hydrological Forecasting Using AI
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Sources: Web Of Science, NC State University Libraries
Added: May 20, 2024

2023 article

Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records

Paramita, N. L. P. S. P., Agor, J. K., Mayorga, M. E., Ivy, J. S., Miller, K. E., & Ozaltin, O. Y. (2023, September 28). PLoS ONE, Vol. 18.

By: N. Paramita n , J. Agor*, M. Mayorga* , J. Ivy*, K. Miller * & O. Ozaltin* 

MeSH headings : Humans; COVID-19 / complications; COVID-19 / epidemiology; Retrospective Studies; Case-Control Studies; Electronic Health Records; Hospitalization; Diabetes Complications / epidemiology; White; Diabetes Mellitus / epidemiology
topics (OpenAlex): COVID-19 Clinical Research Studies; Diabetes and associated disorders; Diabetes Management and Research
TL;DR: The presence of diabetes complications increases the risks of COVID-19 infection, hospitalization, and worse health outcomes with respect to in-hospital mortality and longer hospital length of stay, and health disparities in CO VID-19 outcomes across demographic groups in the diabetes population are shown. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 30, 2023

2021 article

Prediction of Sepsis Related Mortality: An Optimization Approach

Agor, J. K., Paramita, N. L. P. S. P., & Ozaltn, O. Y. (2021, July 13). IEEE Journal of Biomedical and Health Informatics, Vol. 11, pp. 4207–4216.

By: J. Agor*, N. Paramita n  & O. Ozaltn n 

Contributors: J. Agor*, N. Paramita n  & O. Ozaltn n 

author keywords: Sepsis; SOFA score; optimization; mixed-integer programming; electronic health records
MeSH headings : Early Diagnosis; Hospital Mortality; Humans; Intensive Care Units; Organ Dysfunction Scores; Prognosis; ROC Curve; Retrospective Studies; Sepsis / diagnosis
topics (OpenAlex): Sepsis Diagnosis and Treatment; Machine Learning in Healthcare; Hemodynamic Monitoring and Therapy
TL;DR: This study proposes multiple strategies to adjust the SOFA score using mixed-integer programming to improve the in-hospital mortality prediction of septic patients based on Electronic Health Records (EHRs) to take advantage of optimization and data analysis while taking into account the medical expertise. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 23, 2021

2019 article

The value of missing information in severity of illness score development

Agor, J., Özaltın, O. Y., Ivy, J. S., Capan, M., Arnold, R., & Romero, S. (2019, July 23). Journal of Biomedical Informatics, Vol. 97.

By: J. Agor*, O. Özaltın n , J. Ivy n, M. Capan*, R. Arnold* & S. Romero *

Contributors: J. Agor*, O. Özaltın n , J. Ivy n, M. Capan*, R. Arnold* & S. Romero *

author keywords: Severity of illness scores; Sepsis; Missing data; Prediction models; Electronic health records
MeSH headings : Adolescent; Adult; Aged; Aged, 80 and over; Area Under Curve; Computational Biology / methods; Data Interpretation, Statistical; Electronic Health Records / statistics & numerical data; Female; Hospital Mortality; Humans; Intensive Care Units; Logistic Models; Male; Middle Aged; Models, Statistical; Outcome Assessment, Health Care / statistics & numerical data; Sepsis / mortality; Severity of Illness Index; Support Vector Machine; Young Adult
topics (OpenAlex): Sepsis Diagnosis and Treatment; Hydrology and Drought Analysis; Machine Learning in Healthcare
TL;DR: When developing prediction models using longitudinal EHR data, researchers should explore the incorporation of indicators for missing variables along with appropriate imputation to improve the performance of severity of illness scoring systems. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 27, 2020

2018 article

Feature selection for classification models via bilevel optimization

Agor, J., & Özaltın, O. Y. (2018, May 11). Computers & Operations Research, Vol. 106, pp. 156–168.

By: J. Agor n & O. Özaltın n 

Contributors: J. Agor n & O. Özaltın n 

author keywords: Feature selection; Classification; Bilevel programming; Cross validation
topics (OpenAlex): Animal Virus Infections Studies; Immune Response and Inflammation; interferon and immune responses
TL;DR: The computational experiments show that the proposed bilevel framework improves the overall classification performance while selecting the most important features for the model. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 17, 2019

2018 article

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

Agor, J. K., & Özaltın, O. Y. (2018, January 16). Human Vaccines & Immunotherapeutics, Vol. 14, pp. 678–683.

By: J. Agor n & O. Özaltın 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
topics (OpenAlex): Influenza Virus Research Studies; vaccines and immunoinformatics approaches; RNA and protein synthesis mechanisms
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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2017 article

Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score

Agor, J., McKenzie, K., Mayorga, M. E., Ozaltin, O., Parikh, R. S., & Huddleston, J. (2017, December 1). 2017 Winter Simulation Conference (WSC), pp. 2881–2892.

By: J. Agor n, K. McKenzie n, M. Mayorga n , O. Ozaltin n , R. Parikh * & J. Huddleston *

Contributors: J. Agor n, K. McKenzie n, M. Mayorga n , O. Ozaltin n , R. Parikh * & J. Huddleston *

topics (OpenAlex): Emergency and Acute Care Studies; Healthcare Operations and Scheduling Optimization; Hospital Admissions and Outcomes
TL;DR: A simulation model was used to evaluate a proposed workload score designed to assist in triaging patients into the hospital services of the Division of Hospital Internal Medicine at Mayo Clinic in an effort to more equitably balance workload. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

2016 article

Simulation of triaging patients into an Internal Medicine Department to validate the use of an optimization based workload score

Agor, J., McKenzie, K., Ozaltin, O., Mayorga, M., Parikh, R. S., & Huddleston, J. (2016, December 1). 2016 Winter Simulation Conference (WSC), Vol. 0, pp. 3708–3709.

By: J. Agor n, K. McKenzie n, O. Ozaltin n , M. Mayorga n , R. Parikh * & J. Huddleston *

Contributors: J. Agor n, K. Mckenzie n, O. Ozaltin n , M. Mayorga n , R. Parikh * & J. Huddleston *

topics (OpenAlex): Healthcare Operations and Scheduling Optimization; Hospital Admissions and Outcomes
TL;DR: An overview of the development of a simulation model to be used in the assistance of triaging patients into the Hospital Internal Medicine Department at The Mayo Clinic in Rochester, MN in an effort to balance workload among the department services is provided. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

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