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Journal of the Operational Research Society Volume 58, 2007 - Issue 2: Special Issue: Operational Research in Health
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Paper

Combining Data Mining and Discrete Event Simulation for a value-added view of a hospital emergency department

R CeglowskiMonash UniversityMelbourneAustraliaCorrespondence[email protected]
,
L ChurilovMonash UniversityMelbourneAustraliaCorrespondence[email protected]
&
J WasserthielMonash UniversityMelbourneAustralia
Pages 246-254 | Received 01 Sep 2005, Accepted 01 May 2006, Published online: 21 Dec 2017

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Christina E. Saville, Honora K. Smith, Katarzyna Bijak & Pauline Leonard. (2023) Choosing where to set the threshold between low- and high-risk patients: Evaluating a classification tool within a simulation. Journal of the Operational Research Society 74:5, pages 1393-1405.
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Maya Kaner, Tamar Gadrich, Shuki Dror & Yariv N. Marmor. (2014) Generating and evaluating simulation scenarios to improve emergency department operations. IIE Transactions on Healthcare Systems Engineering 4:3, pages 156-166.
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Oh Hong Choon, Zhang Dali, Phua Tien Beng & Chow Peck Yoke Magdalene. (2014) Uncovering effective process improvement strategies in an emergency department using discrete event simulation. Health Systems 3:2, pages 93-104.
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B Jerbi & H Kamoun. (2009) Using simulation and goal programming to reschedule emergency department doctors’ shifts: case of a Tunisian hospital. Journal of Simulation 3:4, pages 211-219.
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H Pilgrim, P Tappenden, J Chilcott, M Bending, P Trueman, A Shorthouse & J Tappenden. (2009) The costs and benefits of bowel cancer service developments using discrete event simulation. Journal of the Operational Research Society 60:10, pages 1305-1314.
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K J Glowacka, R M Henry & J H May. (2009) A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling. Journal of the Operational Research Society 60:8, pages 1056-1068.
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