Feature-Driven Priority Queuing
Published Online:27 May 2026https://doi.org/10.1287/opre.2024.0754
References
- (2013) Structural estimation of callers’ delay sensitivity in call centers. Management Sci. 59(12):2727–2746.Link, Google Scholar
- (2009) Priority assignment under imperfect information on customer type identities. Manufacturing Service Oper. Management 11(4):674–693.Link, Google Scholar
- (2021) An achievable-region-based approach for kidney allocation policy design with endogenous patient choice. Manufacturing Service Oper. Management 23(1):36–54.Link, Google Scholar
- (2019) Comparison of deep learning approaches for multi-label chest X-ray classification. Sci. Rep. 9(1):6381.Crossref, Google Scholar
- (2019) The big data newsvendor: Practical insights from machine learning. Oper. Res. 67(1):90–108.Link, Google Scholar
- (1975) Optimal priority assignment with heterogeneous waiting costs. Oper. Res. 23(1):107–117.Link, Google Scholar
- (2020) The state of artificial intelligence-based FDA-approved medical devices and algorithms: An online database. NPJ Digital Medicine 3(1):118.Crossref, Google Scholar
- (2009) Bayesian Theory (John Wiley & Sons, Chichester, UK).Google Scholar
- (2020) From predictive to prescriptive analytics. Management Sci. 66(3):1025–1044.Link, Google Scholar
- (2006) Pattern Recognition and Machine Learning (Springer, New York).Google Scholar
- (2018) Optimization methods for large-scale machine learning. SIAM Rev. 60(2):223–311.Crossref, Google Scholar
- (2019) Data-driven percentile optimization for multiclass queueing systems with model ambiguity: Theory and application. INFORMS J. Optim. 1(4):267–287.Link, Google Scholar
- (2008) Dynamic pricing and lead-time quotation for a multiclass make-to-order queue. Management Sci. 54(6):1132–1146.Link, Google Scholar
- (1954) Priority assignment in waiting line problems. J. Oper. Res. Soc. Amer. 2(1):70–76.Link, Google Scholar
- (2024) Learning-based optimal admission control in a single-server queuing system. Stochastics Systems 14(1):69–107.Link, Google Scholar
- (2003) AUC optimization vs. error rate minimization. Thrun S, Saul L, Schölkopf B, eds. Adv. Neural Inform. Processing Systems, vol. 16 (MIT Press, Cambridge, MA), 313–320.Google Scholar
- (1961) Queues (John Wiley & Sons, New York).Google Scholar
- (2022) Queueing network controls via deep reinforcement learning. Stochastic Systems 12(1):30–67.Link, Google Scholar
- DeepTek AI (2017) Chest C-ray AI for hospitals and imaging centers. Accessed August 26, 2025, https://www.deeptek.ai/augmento-xray.Google Scholar
- (2022) Smart “predict, then optimize.” Management Sci. 68(1):9–26.Link, Google Scholar
- (2025) Dissecting the impact of model misspecification in data-driven optimization. Li Y, Mandt S, Agrawal S, Khan E, eds. Proc. 28th Internat. Conf. Artificial Intelligence Statist., Proceedings of Machine Learning Research, vol. 258 (PMLR, New York), 1594–1602.Google Scholar
- (1999) Real Analysis: Modern Techniques and Their Applications, 2nd ed. (John Wiley & Sons, New York).Google Scholar
- (2019) NIH-chest-X-rays-classification. Accessed August 26, 2025, https://github.com/paloukari/NIH-Chest-X-rays-Classification.Google Scholar
- (2013) Bayesian Data Analysis, 3rd ed. (CRC Press, Boca Raton, FL).Crossref, Google Scholar
- (2016) Deep Learning (MIT Press, Cambridge, MA).Google Scholar
- (2018) Econometric Analysis, 8th ed. (Pearson, London).Google Scholar
- (2019) Coverage, coarseness, and classification: Determinants of social efficiency in priority queues. Management Sci. 65(3):1061–1075.Link, Google Scholar
- (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.Link, Google Scholar
- (1969) Asymptotic properties of non-linear least squares estimators. Ann. Math. Statist. 40(2):633–643.Crossref, Google Scholar
- (2002) The sample average approximation method for stochastic discrete optimization. SIAM J. Optim. 12(2):479–502.Crossref, Google Scholar
- (2024) Design and scheduling of an AI-based queueing system. Preprint, submitted June 11, https://arxiv.org/abs/2406.06855.Google Scholar
- (2005) A practical inventory control policy using operational statistics. Oper. Res. Lett. 33(4):341–348.Crossref, Google Scholar
- (2018) Optimal price and delay differentiation in large-scale queuing systems. Management Sci. 64(5):2427–2444.Link, Google Scholar
- (2011) Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (John Wiley & Sons, Chichester, UK).Crossref, Google Scholar
- (1983) Linear Programming (John Wiley & Sons, New York).Google Scholar
- Nemirovski A (2009) Numerical methods for nonlinear continuous optimization. Lecture notes, Georgia Institute of Technology, Atlanta. Accessed May 18, 2026, https://www2.isye.gatech.edu/~nemirovs/Lect_OptII.pdf.Google Scholar
- (2022) Scalable reinforcement learning for multiagent networked systems. Oper. Res. 70(6):3601–3628.Link, Google Scholar
- Qure AI (2016) qXR: Chest X-ray interpretation using AI. Accessed August 26, 2025, https://www.qure.ai/product/qxr.Google Scholar
- (2010) Introduction to Probability Models, 10th ed. (Elsevier, Amsterdam).Google Scholar
- (1987) Real and Complex Analysis, 3rd ed. (McGraw-Hill, Columbus, OH).Google Scholar
- (2010) Robust approximation to multiperiod inventory management. Oper. Res. 58(3):583–594.Link, Google Scholar
- (2025) United States Food and Drug Administration regulation of clinical software in the era of artificial intelligence and machine learning. Mayo Clinic Proc. Digital Health 3(3):100231.Crossref, Google Scholar
- (2022b) When to triage in service systems with hidden customer class identities? Production Oper. Management 31(1):172–193.Crossref, Google Scholar
- (2022a) Predicting human discretion to adjust algorithmic prescription: A large-scale field experiment in warehouse operations. Management Sci. 68(2):846–865.Link, Google Scholar
- (2022) Finding optimal policy for queueing models: New parameterization. Preprint, submitted June 21, https://arxiv.org/abs/2206.10073.Google Scholar
- U.S. Department of Health and Human Services Radiation Emergency Medical Management (2025) Radiation triage. Accessed August 14, 2025, https://remm.hhs.gov/radtriage.htm.Google Scholar
- U.S. Food and Drug Administration (2019) Proposed regulatory framework for modifications to artificial intelligence/machine learning (AI/ML)-based software as a medical device (SaMD): Discussion paper and request for feedback. Accessed May 18, 2026, https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-Intelligence-and-Machine-Learning-Discussion-Paper.pdf.Google Scholar
- U.S. Food and Drug Administration (2025) Marketing submission recommendations for predetermined change control plans for artificial intelligence/machine learning (AI/ML)-enabled device software functions. Accessed May 18, 2026, https://www.fda.gov/regulatory-information/search-fda-guidance-documents/marketing-submission-recommendations-predetermined-change-control-plan-artificial-intelligence.Google Scholar
- (1961) Priority assignment in waiting-line problems under conditions of misclassification. Oper. Res. 9(6):875–885.Link, Google Scholar
- (1995) Dynamic scheduling with convex delay costs: The generalized cμ rule. Ann. Appl. Probab. 5(3):809–833.Crossref, Google Scholar
- (2017) ChestX-Ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. Proc. 2017 IEEE Conf. Comput. Vision Pattern Recognition (CVPR) (IEEE, Piscataway, NJ), 3462–3471.Google Scholar

