Quantile regression forests for individualized surgery scheduling
Arlen Dean, Amirhossein Meisami, Henry Lam, Mark P. Van Oyen, Christopher Stromblad, Nick Kastango
| Year of publication: |
2022
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|---|---|
| Authors: | Dean, Arlen ; Meisami, Amirhossein ; Lam, Henry ; Van Oyen, Mark P. ; Stromblad, Christopher ; Kastango, Nick |
| 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. 25.2022, 4, p. 682-709
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| Subject: | Distributionally robust optimization | Individualized learning | Operations research | Robust optimization | Stochastic optimization | Surgery scheduling | Theorie | Theory | Robustes Verfahren | Robust statistics | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Operations Research | Stochastischer Prozess | Stochastic process |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-022-09609-0 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013483720