Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks-Reference-Cited by-同舟云学术

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

Published:2020-07-21 Issue:1 Volume:68 Page:65-88
ISSN:0894-069X
Container-title:Naval Research Logistics (NRL)
language:en
Short-container-title:Naval Research Logistics

Author:

Schiele Julian¹²^ORCID,Koperna Thomas³,Brunner Jens O.¹²^ORCID

Affiliation:

1. University Center of Health Sciences at Klinikum Augsburg (UNIKA‐T) University of Augsburg Augsburg Germany

2. Chair of Health Care Operations/Health Information Management, Faculty of Business and Economics University of Augsburg Augsburg Germany

3. Universitätsklinikum Augsburg Augsburg Germany

Publisher

Wiley

Subject

Management Science and Operations Research,Ocean Engineering,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nav.21929

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