Improving nurse scheduling using a random forest algorithm to predict employee well-being
Sara Séguin, Yoan Villeneuve, Julien Maître, Renaud Grimard
| Year of publication: |
[2025]
|
|---|---|
| Authors: | Séguin, Sara ; Villeneuve, Yoan ; Maître, Julien ; Grimard, Renaud |
| Publisher: |
Montréal (Québec), Canada : GERAD, HÉC Montréal |
| Subject: | Nurse scheduling | linear integer programming | optimization | random forest regressor | employee absenteeism | prediction | Pflegeberufe | Nursing profession | Mathematische Optimierung | Mathematical programming | Fehlzeit | Work absence | Scheduling-Verfahren | Scheduling problem | Personaleinsatzplanung | Crew scheduling | Arbeitszufriedenheit | Job satisfaction | Krankenhaus | Hospital | Theorie | Theory | Algorithmus | Algorithm |
freely available
| Extent: | 1 Online-Ressource (circa 14 Seiten) Illustrationen |
|---|---|
| Series: | Les cahiers du GERAD. - Montréal (Québec), Canada : GERAD, HÉC Montréal, ZDB-ID 3026340-2. - Vol. G-2025, 25 (March 2025) |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015339259