Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks

DOI10.1002/NAV.21929zbMath1523.90197OpenAlexW3045062953MaRDI QIDQ6052536

Jens O. Brunner, Unnamed Author, Unnamed Author

Publication date: 17 October 2023

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nav.21929

zbMATH Keywords

machine learningartificial neural networkoperations researchmaster surgery schedulingintensive care unitdownstream units

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Deterministic scheduling theory in operations research (90B35)

Related Items (2)

Operating room scheduling with surgical team: a new approach with constraint programming and goal programming ⋮ A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks

Cites Work

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