Published in Health Informatics: An Interprofessional Approach, 3rd ed., 2024
This book chapter provides an overview of foundational data science applications, methodologies, and analytical approaches utilized within modern healthcare systems.
Recommended citation: Luangkesorn, L. (2024). 'Data Science and Analytics in Healthcare.' In L. R. Hardy (Ed.), Health Informatics: An Interprofessional Approach (3rd ed.). Elsevier. ISBN: 978-0-323-71196-8.
Published in OR/MS Today, 2026
Discussion of the development of American Red Cross’s doctrine, procedures, and predictive tools for Advance Operational Planning with emphasis on partnerships with university researchers.
Published in DAAAM International Scientific Book 2021, 2021
In this study, associative digital technologies, machine learning, and simulation are used to process both operational and related economic data from an actual poultry farm.
Recommended citation: Gaku, R., Luangkesorn, L., & Takakuwa, S. (2021). 'Life Cycle Assessment for Long-Term Production Operation.' DAAAM International Scientific Book 2021, Chapter 11, pp. 131–138.
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Published in International Journal of Production Economics, 2016
The produce-to-stock with production disruptions model is applicable to systems where the decision on production rate is coupled with the setting of the base stock level when production disruptions are possible.
Recommended citation: 'Systems with potential for severe disruptions.' (2016). International Journal of Production Economics, 171, pp. 478–486.
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Published in Journal of Statistical Computation and Simulation, 2015
We combine expert judgement, expert classification of procedures by complexity category and historical data in a Markov Chain Monte Carlo model and test it against one year of actual surgery cases at a multi-speciality surgical suite.
Recommended citation: Luangkesorn, K. L., & Eren-Doğu, Z. (2015). 'Markov Chain Monte Carlo methods for estimating surgery duration.' Journal of Statistical Computation and Simulation, 86(2).
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Published in Journal of Public Health Management and Practice, 2013
We used an open-source agent-based modeling system, FRED (A Framework for Reconstructing Epidemiological Dynamic), to simulate the spread of an H1N1 epidemic in Alleghany County, Pennsylvania applying best subset selection procedures.
Recommended citation: Luangkesorn, K. L., Ghiasabadi, F., & Chhatwal, J. (2013). 'A Sequential Experimental Design Method to Evaluate a Combination of School Closure and Vaccination Policies to Control an H1N1-Like Pandemic.' Journal of Public Health Management and Practice, 19(Suppl 5), pp. S37–S41.
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Published in Interfaces, 2012
This article outlines the operational design and implementation of regional disease prevention and screening facilities in Abu Dhabi
Recommended citation: Luangkesorn, K. L., Norman, B. A., Zhuang, Y., Falbo, M., & Sysko, J. (2012). 'Practice Summaries: Designing Disease Prevention and Screening Centers in Abu Dhabi.' Interfaces, 42(4), 406–409.
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Published in Socio-Economic Planning Sciences, 2012
In this work, we built an agent based model of a given urban area to simulate the emergency medical response to a mass casualty incident (MCI) in that area.
Recommended citation: Wang, Y., Luangkesorn, L., & Shuman, L. (2012). 'Modeling Emergency Medical Response to a Mass Casualty Incident using Agent Based Simulation.' Socio-Economic Planning Sciences, 46(4), pp. 281–290.
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