Forecasting emergency department occupancy with advanced machine learning models and multivariable input
Jalmari Tuominen, Eetu Pulkkinen, Jaakko Peltonen, Juho Kanniainen, Niku Oksala, Ari Palomäki, Antti Roine
| Year of publication: |
2024
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|---|---|
| Authors: | Tuominen, Jalmari ; Pulkkinen, Eetu ; Peltonen, Jaakko ; Kanniainen, Juho ; Oksala, Niku ; Palomäki, Ari ; Roine, Antti |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier Science, ISSN 0169-2070, ZDB-ID 1495951-3. - Vol. 40.2024, 4, p. 1410-1420
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| Subject: | Crowding | Emergency department | Forecasting | Multivariable analysis | Occupancy | Overcrowding | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Notaufnahme | Multivariate Analyse | Multivariate analysis | Krankenhaus | Hospital |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2023.12.002 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015438420