Surgical scheduling via optimization and machine learning with long-tailed data
Yuan Shi, Saied Mahdian, Jose Blanchet, Peter Glynn, Andrew Y. Shin, David Scheinker
| Year of publication: |
2023
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|---|---|
| Authors: | Shi, Yuan ; Mahdian, Saied ; Blanchet, Jose ; Glynn, Peter W. ; Shin, Andrew Y. ; Scheinker, David |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 26.2023, 4, p. 692-718
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| Subject: | Intensive care unit | Machine learning | Operations research | Optimization | Simulation | Surgical scheduling | Künstliche Intelligenz | Artificial intelligence | Scheduling-Verfahren | Scheduling problem | Krankenhaus | Hospital | Theorie | Theory | Operations Research | Prozessmanagement | Business process management | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-023-09649-0 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015079823