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A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling

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Publication:3394095
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DOI10.1057/JORS.2008.177zbMath1168.90440OpenAlexW1984243496MaRDI QIDQ3394095

No author found.

Publication date: 28 August 2009

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/jors.2008.177



zbMATH Keywords

simulationhealthcaredata miningassociation rulesoutpatient scheduling


Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)



Related Items (7)

Outpatient appointment scheduling given individual day-dependent no-show predictions ⋮ Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network ⋮ Predictive analytics model for healthcare planning and scheduling ⋮ The effect of cancelled appointments on outpatient clinic operations ⋮ Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review ⋮ Synergies of operations research and data mining ⋮ Decision support system for appointment scheduling and overbooking under patient no-show behavior





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